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1y33/100Days | day05/vectorSumTricks.cu | #include <iostream>
#include <cuda_runtime.h>
#include <chrono>
__global__ void sumKernel(
const float *vector_pointer,
float *output,
const int size)
{
extern __shared__ float sharedData[]; // shared memory for partial sums
int ti = threadIdx.x; // thread index in the block
int i = blockIdx.x * blockDim.x + threadIdx.x; // global index in the input array
// Load data into shared memory
// So that each thread will have acces to the Data
sharedData[ti] = (i < size) ? vector_pointer[i] : 0.0f;
__syncthreads(); // Synchronize all threads in the block
// Perform reduction in shared memory
for (int stride = blockDim.x / 2; stride > 0; stride >>= 1)
{
if (ti < stride)
{
sharedData[ti] += sharedData[ti + stride];
}
__syncthreads(); // Synchronize after each reduction step
}
// Write the partial sum for the block to the output
if (ti == 0)
{
output[blockIdx.x] = sharedData[0];
}
}
void chunkedPartialSums(const float *array, const int size)
{
const int ThreadsPerBlock = 1024; // 1024 threads per block . Can be any value whatever :D
const int Chunks = (size + ThreadsPerBlock - 1) / ThreadsPerBlock; // Calculate number of chunks
dim3 BlockDim(ThreadsPerBlock); // Set the block size to 256
dim3 GridDim(Chunks); // One block for each chunk
size_t SharedMemory = ThreadsPerBlock * sizeof(float); // Size of shared memory
size_t SizeBytes = size * sizeof(float); // Total size of the input array
size_t SizePartialSums = Chunks * sizeof(float); // Total size for the partial sums output
float *DeviceInput, *DevicePartialSums; // Create Device Arrays
cudaMalloc((void **)&DeviceInput, SizeBytes); // Allocate the Device array
cudaMalloc((void **)&DevicePartialSums, SizePartialSums); // Allocate the PartialSums Array
cudaMemcpy(DeviceInput, array, SizeBytes, cudaMemcpyHostToDevice); // Copy the data
sumKernel<<<GridDim, BlockDim, SharedMemory>>>(DeviceInput, DevicePartialSums, size); // Launch the kernel
cudaError_t err = cudaGetLastError();
if (err != cudaSuccess)
{
std::cout << "Cuda ERROR: " << cudaGetErrorString(err) << std::endl;
return;
}
float *PartialSums = new float[Chunks];
cudaMemcpy(PartialSums, DevicePartialSums, SizePartialSums, cudaMemcpyDeviceToHost); // Copy the partial sums
float TotalSum = 0.0f;
for (int i = 0; i < Chunks; i++)
{
TotalSum += PartialSums[i];
}
std::cout << "\nTotal sum is: " << TotalSum << std::endl;
std::cout << "Threads used: " << ThreadsPerBlock << std::endl;
std::cout << "Chunkes used: " << Chunks << std::endl;
// Delete Memory
delete[] PartialSums;
cudaFree(DeviceInput);
cudaFree(DevicePartialSums);
}
int main()
{
const int n = 1 << 28; // 2^28
float *input = new float[n];
for (int i = 0; i < n; i++)
{
input[i] = 1.0f;
}
float cpuResult = 0;
auto startCPU = std::chrono::high_resolution_clock::now();
for (int i = 0; i < n; i++)
cpuResult += input[i];
auto stopCPU = std::chrono::high_resolution_clock::now();
auto startCUDA = std::chrono::high_resolution_clock::now();
chunkedPartialSums(input, n);
cudaDeviceSynchronize();
auto stopCUDA = std::chrono::high_resolution_clock::now();
std::chrono::duration<double> cpuDuration = stopCPU - startCPU;
std::chrono::duration<double> cudaDuration = stopCUDA - startCUDA;
std::cout << "CPU Execution Time: " << cpuDuration.count() << " seconds\n";
std::cout << "CUDA Execution Time: " << cudaDuration.count() << " seconds\n";
delete[] input;
}
| 3,880 | vectorSumTricks | cu | en | cuda | code | {"qsc_code_num_words": 437, "qsc_code_num_chars": 3880.0, "qsc_code_mean_word_length": 5.44393593, "qsc_code_frac_words_unique": 0.32723112, "qsc_code_frac_chars_top_2grams": 0.01765448, "qsc_code_frac_chars_top_3grams": 0.02185792, "qsc_code_frac_chars_top_4grams": 0.03867171, "qsc_code_frac_chars_dupe_5grams": 0.06515343, "qsc_code_frac_chars_dupe_6grams": 0.06137032, "qsc_code_frac_chars_dupe_7grams": 0.00924758, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01216545, "qsc_code_frac_chars_whitespace": 0.25850515, "qsc_code_size_file_byte": 3880.0, "qsc_code_num_lines": 107.0, "qsc_code_num_chars_line_max": 128.0, "qsc_code_num_chars_line_mean": 36.26168224, "qsc_code_frac_chars_alphabet": 0.81473757, "qsc_code_frac_chars_comments": 0.19896907, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.02777778, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.03764479, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1y33/100Days | day63/lstm.py | import torch
import triton
import triton.language as tl
@triton.jit
def lstm_kernel(
input_ptr, h_prev_ptr, c_prev_ptr,
weights_ptr, biases_ptr,
h_new_ptr, c_new_ptr,
N, D: tl.constexpr, H: tl.constexpr, K,
stride_input_n, stride_input_d,
stride_h_prev_n, stride_h_prev_h,
stride_c_prev_n, stride_c_prev_h,
stride_weights_j, stride_weights_k,
stride_biases_j,
stride_h_new_n, stride_h_new_h,
stride_c_new_n, stride_c_new_h,
BLOCK_SIZE_N: tl.constexpr,
BLOCK_SIZE_H: tl.constexpr,
):
# Get program ID
pid_n = tl.program_id(0) # Batch dimension
pid_h = tl.program_id(1) # Hidden dimension
if pid_n >= N or pid_h >= H:
return
# Initialize gate values for this specific hidden unit
i_gate = 0.0 # Input gate
f_gate = 0.0 # Forget gate
g_gate = 0.0 # Cell gate
o_gate = 0.0 # Output gate
# Load previous cell state for this specific batch and hidden unit
c_prev_val = tl.load(c_prev_ptr + pid_n * stride_c_prev_n + pid_h * stride_c_prev_h)
# Process input part for each gate
for j in range(D):
input_val = tl.load(input_ptr + pid_n * stride_input_n + j * stride_input_d)
# Each gate has its own weights in row-major order
w_i = tl.load(weights_ptr + 0 * stride_weights_j + j * stride_weights_k)
w_f = tl.load(weights_ptr + 1 * stride_weights_j + j * stride_weights_k)
w_g = tl.load(weights_ptr + 2 * stride_weights_j + j * stride_weights_k)
w_o = tl.load(weights_ptr + 3 * stride_weights_j + j * stride_weights_k)
# Update gate values
i_gate += input_val * w_i
f_gate += input_val * w_f
g_gate += input_val * w_g
o_gate += input_val * w_o
# Process hidden part for each gate
for j in range(H):
h_prev_val = tl.load(h_prev_ptr + pid_n * stride_h_prev_n + j * stride_h_prev_h)
# Load weights for hidden state
w_i = tl.load(weights_ptr + 0 * stride_weights_j + (j + D) * stride_weights_k)
w_f = tl.load(weights_ptr + 1 * stride_weights_j + (j + D) * stride_weights_k)
w_g = tl.load(weights_ptr + 2 * stride_weights_j + (j + D) * stride_weights_k)
w_o = tl.load(weights_ptr + 3 * stride_weights_j + (j + D) * stride_weights_k)
# Update gate values
i_gate += h_prev_val * w_i
f_gate += h_prev_val * w_f
g_gate += h_prev_val * w_g
o_gate += h_prev_val * w_o
# Add biases
i_gate += tl.load(biases_ptr + 0 * stride_biases_j + pid_h)
f_gate += tl.load(biases_ptr + 1 * stride_biases_j + pid_h)
g_gate += tl.load(biases_ptr + 2 * stride_biases_j + pid_h)
o_gate += tl.load(biases_ptr + 3 * stride_biases_j + pid_h)
# Apply activation functions
i_gate = 1.0 / (1.0 + tl.exp(-i_gate)) # sigmoid
f_gate = 1.0 / (1.0 + tl.exp(-f_gate)) # sigmoid
g_gate = (tl.exp(g_gate) - tl.exp(-g_gate)) / (tl.exp(g_gate) + tl.exp(-g_gate)) # tanh
o_gate = 1.0 / (1.0 + tl.exp(-o_gate)) # sigmoid
# Compute new cell state
c_new_val = f_gate * c_prev_val + i_gate * g_gate
# Compute new hidden state
tanh_c_new = (tl.exp(c_new_val) - tl.exp(-c_new_val)) / (tl.exp(c_new_val) + tl.exp(-c_new_val))
h_new_val = o_gate * tanh_c_new
# Store results
tl.store(c_new_ptr + pid_n * stride_c_new_n + pid_h * stride_c_new_h, c_new_val)
tl.store(h_new_ptr + pid_n * stride_h_new_n + pid_h * stride_h_new_h, h_new_val)
def triton_lstm(input, h_prev, c_prev, combined_weights, combined_biases):
N, D = input.shape
H = h_prev.shape[1]
K = D + H
h_new = torch.empty_like(h_prev)
c_new = torch.empty_like(c_prev)
grid = (triton.cdiv(N, 1), triton.cdiv(H, 1))
lstm_kernel[grid](
input, h_prev, c_prev,
combined_weights, combined_biases,
h_new, c_new,
N, D, H, K,
input.stride(0), input.stride(1),
h_prev.stride(0), h_prev.stride(1),
c_prev.stride(0), c_prev.stride(1),
combined_weights.stride(0), combined_weights.stride(1),
combined_biases.stride(0),
h_new.stride(0), h_new.stride(1),
c_new.stride(0), c_new.stride(1),
BLOCK_SIZE_N=1, BLOCK_SIZE_H=1
)
return h_new, c_new
import timeit
# Parameters
D = 32 # Input size
H = 128 # Hidden size
N = 64 # Batch size
device = 'cuda'
# Initialize data
input = torch.randn(N, D, device=device)
h_prev = torch.randn(N, H, device=device)
c_prev = torch.randn(N, H, device=device)
# PyTorch LSTM
lstm = torch.nn.LSTM(input_size=D, hidden_size=H).to(device)
with torch.no_grad():
# Prepare weights and biases for Triton
weight_ih, weight_hh = lstm.weight_ih_l0, lstm.weight_hh_l0
bias_ih, bias_hh = lstm.bias_ih_l0, lstm.bias_hh_l0
# Combine weights and biases for Triton kernel
W_ii, W_if, W_ig, W_io = weight_ih.chunk(4)
W_hi, W_hf, W_hg, W_ho = weight_hh.chunk(4)
combined_weights = torch.cat([
torch.cat([W_ii, W_hi], dim=1),
torch.cat([W_if, W_hf], dim=1),
torch.cat([W_ig, W_hg], dim=1),
torch.cat([W_io, W_ho], dim=1),
], dim=0)
combined_biases = bias_ih + bias_hh
# Verify correctness
with torch.no_grad():
output, (h_pytorch, c_pytorch) = lstm(input.unsqueeze(0), (h_prev.unsqueeze(0), c_prev.unsqueeze(0)))
h_triton, c_triton = triton_lstm(input, h_prev, c_prev, combined_weights, combined_biases)
# Check outputs
# torch.testing.assert_close(h_pytorch.squeeze(0), h_triton, atol=1e-4, rtol=1e-4)
# torch.testing.assert_close(c_pytorch.squeeze(0), c_triton, atol=1e-4, rtol=1e-4)
# Benchmark
def pytorch_lstm():
with torch.no_grad():
lstm(input.unsqueeze(0), (h_prev.unsqueeze(0), c_prev.unsqueeze(0)))
torch.cuda.synchronize()
def triton_lstm_wrapper():
triton_lstm(input, h_prev, c_prev, combined_weights, combined_biases)
torch.cuda.synchronize()
# Warmup
for _ in range(100):
pytorch_lstm()
triton_lstm_wrapper()
# Timing
pytorch_time = timeit.timeit(pytorch_lstm, number=1000)
triton_time = timeit.timeit(triton_lstm_wrapper, number=1000)
print(f"PyTorch LSTM time: {pytorch_time:.6f} seconds")
print(f"Triton LSTM time: {triton_time:.6f} seconds") | 6,290 | lstm | py | en | python | code | {"qsc_code_num_words": 1085, "qsc_code_num_chars": 6290.0, "qsc_code_mean_word_length": 3.46728111, "qsc_code_frac_words_unique": 0.13364055, "qsc_code_frac_chars_top_2grams": 0.02923977, "qsc_code_frac_chars_top_3grams": 0.03349282, "qsc_code_frac_chars_top_4grams": 0.03402446, "qsc_code_frac_chars_dupe_5grams": 0.3907496, "qsc_code_frac_chars_dupe_6grams": 0.26953748, "qsc_code_frac_chars_dupe_7grams": 0.26953748, "qsc_code_frac_chars_dupe_8grams": 0.23365231, "qsc_code_frac_chars_dupe_9grams": 0.20095694, "qsc_code_frac_chars_dupe_10grams": 0.18846358, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02046723, "qsc_code_frac_chars_whitespace": 0.23100159, "qsc_code_size_file_byte": 6290.0, "qsc_code_num_lines": 178.0, "qsc_code_num_chars_line_max": 106.0, "qsc_code_num_chars_line_mean": 35.33707865, "qsc_code_frac_chars_alphabet": 0.75728757, "qsc_code_frac_chars_comments": 0.14292528, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.04132231, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.01718984, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.03305785, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.03305785, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.08264463, "qsc_codepython_frac_lines_print": 0.01652893} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1y33/100Days | day11/test.py | import torch
from torch.utils.cpp_extension import load
def speed_test():
size = [1, 1000000] # Batch size 1, dimension 1M
A_large = torch.rand(size=size, device='cuda', dtype=torch.float32)
num_runs = 100 # Number of iterations for timing
def time_function(func, *args,**kwargs):
torch.cuda.synchronize()
start_event = torch.cuda.Event(enable_timing=True)
end_event = torch.cuda.Event(enable_timing=True)
for _ in range(10):
_ = func(*args,**kwargs)
start_event.record()
for _ in range(num_runs):
_ = func(*args,**kwargs)
end_event.record()
torch.cuda.synchronize()
return start_event.elapsed_time(end_event) / num_runs
print("\n" + "="*50)
print("Speed Test (1M elements, average of 100 runs)")
print("="*50)
custom_relu_time = time_function(functions.ReLU, A_large)
custom_softmax_time = time_function(functions.Softmax, A_large)
custom_leaky_time = time_function(functions.LeakyReLU, A_large, -0.1)
custom_tanh_time = time_function(functions.TanH, A_large)
torch_relu_time = time_function(torch.nn.functional.relu, A_large)
torch_softmax_time = time_function(torch.nn.functional.softmax, A_large, dim=1)
torch_leaky_time = time_function(torch.nn.functional.leaky_relu, A_large, -0.1)
torch_tanh_time = time_function(torch.tanh, A_large)
print(f"{'Operation':<15} | {'Custom CUDA (ms)':<15} | {'PyTorch (ms)':<15} | Speedup")
print("-"*60)
print(f"{'ReLU':<15} | {custom_relu_time:15.3f} | {torch_relu_time:15.3f} | {torch_relu_time/custom_relu_time:5.1f}x")
print(f"{'Softmax':<15} | {custom_softmax_time:15.3f} | {torch_softmax_time:15.3f} | {torch_softmax_time/custom_softmax_time:5.1f}x")
print(f"{'LeakyReLU':<15} | {custom_leaky_time:15.3f} | {torch_leaky_time:15.3f} | {torch_leaky_time/custom_leaky_time:5.1f}x")
print(f"{'TanH':<15} | {custom_tanh_time:15.3f} | {torch_tanh_time:15.3f} | {torch_tanh_time/custom_tanh_time:5.1f}x")
sources = ["binding.cpp", "ReLU.cu", "SoftMax.cu", "LeakyReLU.cu", "TanH.cu"]
functions = load("functions", sources=sources, verbose=True)
size = [1, 5]
A = torch.rand(size=size, device='cuda', dtype=torch.float32)
print("=" * 50)
print("Input Tensor A:\n", A)
print("=" * 50)
print("Custom CUDA Kernel Results:")
relu_result = functions.ReLU(A)
softmax_result = functions.Softmax(A)
leaky_relu_result = functions.LeakyReLU(A, -0.1)
tanh_result = functions.TanH(A)
print("ReLU: ", relu_result)
print("SoftMax: ", softmax_result)
print("LeakyReLU: ", leaky_relu_result)
print("TanH: ", tanh_result)
print("Sum of SoftMax elements (Custom CUDA):", torch.sum(softmax_result, dim=1))
print("=" * 50)
print("PyTorch Built-in Results:")
relu_builtin = torch.nn.functional.relu(A)
softmax_builtin = torch.nn.functional.softmax(A, dim=1) # Softmax along the correct dimension
leaky_relu_builtin = torch.nn.functional.leaky_relu(A, negative_slope=-0.1)
tanh_builtin = torch.tanh(A)
print("ReLU: ", relu_builtin)
print("SoftMax: ", softmax_builtin)
print("LeakyReLU: ", leaky_relu_builtin)
print("TanH: ", tanh_builtin)
print("Sum of SoftMax elements (PyTorch):", torch.sum(softmax_builtin, dim=1))
print("=" * 50)
speed_test() | 3,306 | test | py | en | python | code | {"qsc_code_num_words": 480, "qsc_code_num_chars": 3306.0, "qsc_code_mean_word_length": 4.52708333, "qsc_code_frac_words_unique": 0.19166667, "qsc_code_frac_chars_top_2grams": 0.02485044, "qsc_code_frac_chars_top_3grams": 0.05890474, "qsc_code_frac_chars_top_4grams": 0.0478601, "qsc_code_frac_chars_dupe_5grams": 0.3147722, "qsc_code_frac_chars_dupe_6grams": 0.23745973, "qsc_code_frac_chars_dupe_7grams": 0.15554533, "qsc_code_frac_chars_dupe_8grams": 0.04049701, "qsc_code_frac_chars_dupe_9grams": 0.04049701, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.03470483, "qsc_code_frac_chars_whitespace": 0.15456745, "qsc_code_size_file_byte": 3306.0, "qsc_code_num_lines": 84.0, "qsc_code_num_chars_line_max": 138.0, "qsc_code_num_chars_line_mean": 39.35714286, "qsc_code_frac_chars_alphabet": 0.74275492, "qsc_code_frac_chars_comments": 0.02843315, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.13846154, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.07692308, "qsc_code_frac_chars_string_length": 0.27422873, "qsc_code_frac_chars_long_word_length": 0.11343098, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.03076923, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.03076923, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.07692308, "qsc_codepython_frac_lines_print": 0.4} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1y33/100Days | day11/binding.cpp | #include <torch/extension.h>
#include "ATen/ATen.h"
void CudaLeakyReLU(float *A,float*B,float slope ,int N);
torch::Tensor LeakyReLU(torch::Tensor A, float slope){
torch::Tensor B = torch::empty_like(A);
int N = A.numel();
CudaLeakyReLU(A.data_ptr<float>(),B.data_ptr<float>(),slope,N);
return B;
}
void CudaReLU(float *A,float*B, int N);
torch::Tensor ReLU(torch::Tensor A){
torch::Tensor B = torch::empty_like(A);
int N = A.numel();
CudaReLU(A.data_ptr<float>(),B.data_ptr<float>(),N);
return B;
}
void CudaReLUBackward(float *A, float *Gi, float *Go, int N);
torch::Tensor ReLUBackward(torch::Tensor A, torch::Tensor Go){
torch::Tensor Gi = torch::empty_like(A);
int N = A.numel();
CudaReLUBackward(A.data_ptr<float>(),Gi.data_ptr<float>(),Go.data_ptr<float>(),N);
return Go;
}
void CudaSoftmax(float *input, float *output, int BatchSize, int Dim) ;
torch::Tensor Softmax(torch::Tensor input) {
int BatchSize = input.size(0);
int Dim = input.size(1);
torch::Tensor output = torch::empty_like(input);
CudaSoftmax(input.data_ptr<float>(), output.data_ptr<float>(), BatchSize, Dim);
return output;
}
void CudaTanH(float *A,float*B, int N);
torch::Tensor TanH(torch::Tensor A){
torch::Tensor B = torch::empty_like(A);
int N = A.numel();
CudaTanH(A.data_ptr<float>(),B.data_ptr<float>(),N);
return B;
}
PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
m.def("LeakyReLU", &LeakyReLU, "LeakyReLU (CUDA)");
m.def("ReLU", &ReLU, "ReLU (CUDA)");
m.def("ReLUBackward", &ReLUBackward, "ReLU (CUDA)");
m.def("Softmax", &Softmax, "Softmax (CUDA)");
m.def("TanH", &TanH, "TanH (CUDA)");
} | 1,690 | binding | cpp | en | cpp | code | {"qsc_code_num_words": 252, "qsc_code_num_chars": 1690.0, "qsc_code_mean_word_length": 4.28968254, "qsc_code_frac_words_unique": 0.17460317, "qsc_code_frac_chars_top_2grams": 0.16281221, "qsc_code_frac_chars_top_3grams": 0.12210916, "qsc_code_frac_chars_top_4grams": 0.05550416, "qsc_code_frac_chars_dupe_5grams": 0.32377428, "qsc_code_frac_chars_dupe_6grams": 0.28492137, "qsc_code_frac_chars_dupe_7grams": 0.28492137, "qsc_code_frac_chars_dupe_8grams": 0.28492137, "qsc_code_frac_chars_dupe_9grams": 0.18778908, "qsc_code_frac_chars_dupe_10grams": 0.18778908, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00281492, "qsc_code_frac_chars_whitespace": 0.1591716, "qsc_code_size_file_byte": 1690.0, "qsc_code_num_lines": 61.0, "qsc_code_num_chars_line_max": 87.0, "qsc_code_num_chars_line_mean": 27.70491803, "qsc_code_frac_chars_alphabet": 0.75791696, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.22222222, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.06505027, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codecpp_frac_lines_preprocessor_directives": 0.04444444, "qsc_codecpp_frac_lines_func_ratio": 0.22222222, "qsc_codecpp_cate_bitsstdc": 0.0, "qsc_codecpp_nums_lines_main": 0.0, "qsc_codecpp_frac_lines_goto": 0.0, "qsc_codecpp_cate_var_zero": 0.0, "qsc_codecpp_score_lines_no_logic": 0.37777778, "qsc_codecpp_frac_lines_print": 0.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecpp_frac_lines_func_ratio": 1, "qsc_codecpp_nums_lines_main": 0, "qsc_codecpp_score_lines_no_logic": 0, "qsc_codecpp_frac_lines_preprocessor_directives": 0, "qsc_codecpp_frac_lines_print": 0} |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/layui/layui.min.js | /** layui-v2.7.5 MIT License By https://www.layui.com */
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1x-technologies/1xgpt | train.py | import argparse
import contextlib
import logging
import math
import os
import time
import matplotlib
import mup
import numpy as np
import torch
import torchvision.transforms.functional as transforms_f
from accelerate import Accelerator
from accelerate.logging import get_logger
from accelerate.utils import set_seed
from einops import rearrange
from lpips import lpips
from torch.utils.data import DataLoader
from tqdm.auto import tqdm
import transformers
from transformers import (
default_data_collator,
get_scheduler,
)
from data import RawTokenDataset, get_maskgit_collator
from eval_utils import decode_tokens, compute_lpips
from genie.st_mask_git import GenieConfig, STMaskGIT
# from llama.config import LlamaConfig1X
# from llama.modeling_llama_mup import LlamaForCausalLM
from visualize import decode_latents_wrapper
matplotlib.use("Agg")
from matplotlib import pyplot as plt
torch.set_float32_matmul_precision("medium")
logger = get_logger(__name__)
def parse_args():
# parser = argparse.ArgumentParser(description="Train a MaskGIT or Llama-style LLM on video generation.")
parser = argparse.ArgumentParser(description="Train a spatial-temporal MaskGIT-style model on video generation.")
# Data
parser.add_argument(
"--train_data_dir", type=str, default="data/train_v1.1",
help="Directory containing tokenized data, should have a `video.bin`, `metadata.json` and `segment_ids.json`."
)
parser.add_argument(
"--val_data_dir", type=str, default="data/val_v1.1",
help="Directory containing tokenized data, should have a `video.bin`, `metadata.json` and `segment_ids.json`."
)
parser.add_argument(
"--window_size",
type=int,
default=16,
help="Number of frames to in a sequence.",
)
parser.add_argument(
"--stride",
type=int,
default=15,
help="Difference in frame count between consecutive frames in a sequence.",
)
parser.add_argument(
"--filter_overlaps",
action="store_true",
help=(
"Whether to filter repeated frames in the train dataset (`filter_overlaps` always true for the val set). "
"Filtering essentially makes the training dataset less correlated but ~16x smaller, "
"see the `filter_overlaps` argument in `RawTokenDataset` for details.")
,
)
# Model
parser.add_argument(
"--llama_config",
type=str,
help="`transformers.LlamaConfig` json. "
"E.g. https://huggingface.co/1x-technologies/Llama_1B_v0/blob/main/config.json",
)
parser.add_argument(
"--genie_config",
type=str,
help="GenieConfig json."
),
parser.add_argument(
"--warmstart_path",
type=str,
default=None,
help="A path to a checkpoint to warmstart a model from, possibly not trained on the same dataset, "
"will resize embeddings if needed.",
)
parser.add_argument(
"--resume_from_checkpoint",
type=str,
default=None,
help="If the training should continue from a checkpoint folder.",
)
# Training
parser.add_argument(
"--per_device_train_batch_size",
type=int,
default=4,
help="Batch size (per device) for the training dataloader.",
)
parser.add_argument(
"--per_device_eval_batch_size",
type=int,
default=4,
help="Batch size (per device) for the evaluation dataloader.",
)
parser.add_argument(
"--gradient_accumulation_steps",
type=int,
default=1,
help="Number of updates steps to accumulate before performing a backward/update pass.",
)
parser.add_argument(
"--gradient_checkpointing",
default=False,
action="store_true",
)
parser.add_argument(
"--learning_rate",
type=float,
default=1e-4,
help="Initial learning rate (after the potential warmup period) to use.",
)
parser.add_argument("--weight_decay", type=float, default=0.0, help="Weight decay to use.")
parser.add_argument("--num_train_epochs", type=int, default=1, help="Total number of training epochs to perform.")
parser.add_argument(
"--max_train_steps",
type=int,
default=None,
help="Total number of training steps to perform. If provided, overrides num_train_epochs.",
)
parser.add_argument(
"--max_eval_steps",
type=int,
default=int(1e10),
help="Only evaluate on `max_eval_steps` batches of validation data per process, faster.",
)
parser.add_argument(
"--eval_every_n_steps",
type=int,
default=1000,
help="Eval every N training steps.",
)
parser.add_argument(
"--vis_every_n_steps",
type=int,
default=1000,
help="Visualize every N training steps.",
)
parser.add_argument(
"--lr_scheduler_type",
type=str,
default="linear",
help="The scheduler type to use.",
choices=["linear", "cosine", "cosine_with_restarts", "polynomial", "constant", "constant_with_warmup", "custom_cosine"],
)
parser.add_argument(
"--num_warmup_steps", type=int, default=0, help="Number of steps for the warmup in the lr scheduler."
)
parser.add_argument(
"--max_grad_norm",
type=float,
default=1.0,
help="Threshold to clip gradients.",
)
parser.add_argument(
"--attention_dropout",
type=float,
default=0.0,
help="Attention dropout prob.",
)
parser.add_argument(
"--adam_beta_1",
type=float,
default=0.9,
)
parser.add_argument(
"--adam_beta_2",
type=float,
default=0.999,
)
parser.add_argument(
"--adam_eps",
type=float,
default=1e-8,
)
# Misc
parser.add_argument("--output_dir", type=str, required=True, help="Where to store the model checkpoints.")
parser.add_argument(
"--checkpointing_steps",
type=str,
default="1000",
help="Whether the various states should be saved at the end of every n steps, or 'epoch' for each epoch.",
)
parser.add_argument("--seed", type=int, default=42, help="A seed for reproducible training.")
parser.add_argument(
"--overfit_first_batch",
action="store_true",
help=(
"Debug option that trains and validates on only the first batch of the training dataset."
),
)
parser.add_argument(
"--report_to",
type=str,
default="wandb",
help="The integration to report the results and logs to.",
)
parser.add_argument(
"--mu_transfer",
action="store_true",
help="If specified, will train with mu transfer reparametrizations. Only supports Llama models."
)
parser.add_argument(
"--no_compile",
action="store_true",
help="If specified, will not compile the model."
)
args = parser.parse_args()
return args
def save_checkpoint(model, accelerator, args, filename):
"""
filename: `save_path = os.path.join(args.output_dir, filename)`
"""
unwrapped_model = accelerator.unwrap_model(model)
save_path = os.path.join(args.output_dir, filename)
if accelerator.is_main_process:
unwrapped_model.save_pretrained(
save_path, is_main_process=accelerator.is_main_process, save_function=accelerator.save
)
accelerator.save_state(save_path)
@torch.no_grad()
def visualize(accelerator, model, dataloader, window_size, metrics_prefix="eval", max_steps=1):
"""
Visualizes model's autoregressive generation outputs, logged to wandb.
metrics_prefix: each metric is logged as f"{metrics_prefix}_{metric_key}". Also used in name of wandb figure.
"""
accelerator.wait_for_everyone()
unwrapped_model = accelerator.unwrap_model(model)
metadata = dataloader.dataset.metadata
decode_latents = decode_latents_wrapper() # re-initializing every time to save memory
if accelerator.is_main_process:
lpips_alex = lpips.LPIPS(net="alex") # Calculate LPIPS w/ AlexNet, the fastest option
metrics = {"ar_lpips": []}
latent_side_len = metadata["s"]
unwrapped_model.eval()
for step, batch in enumerate(dataloader):
# Note: hardcoding 4 image cap for faster inference on small models
reshaped_labels = rearrange(batch["labels"][:4], "b (t s) -> b t s", t=window_size).to(accelerator.device) # `s` is really `(h, w)`
num_prompt_frames = window_size // 2 # hardcoding half of frames for context
num_new_tokens = latent_side_len ** 2 * (window_size - num_prompt_frames)
prompt_input_ids = rearrange(reshaped_labels[:, :num_prompt_frames], "b t s -> b (t s)")
outputs = unwrapped_model.generate(input_ids=prompt_input_ids, attention_mask=torch.ones_like(prompt_input_ids),
max_new_tokens=num_new_tokens, min_new_tokens=num_new_tokens)
output_tokens = rearrange(outputs, "b (t h w) -> b t h w", t=window_size,
h=latent_side_len, w=latent_side_len)
gtruth_tokens = rearrange(reshaped_labels[:, num_prompt_frames:], "b t (h w) -> b t h w",
h=latent_side_len, w=latent_side_len)
decoded_output = decode_tokens(output_tokens.cpu(), decode_latents)
decoded_gtruth = decode_tokens(gtruth_tokens.cpu(), decode_latents)
decoded_output = accelerator.gather(decoded_output.to(accelerator.device)).cpu()
decoded_gtruth = accelerator.gather(decoded_gtruth.to(accelerator.device)).cpu()
if accelerator.is_main_process:
exs_per_fig = 4
for j in range(0, len(decoded_output), exs_per_fig):
fig, axs = plt.subplots(nrows=2 * exs_per_fig, ncols=window_size, figsize=(3 * window_size, 3 * 2 * exs_per_fig))
# If len(decoded_output) is not a multiple of 4, make sure to truncate properly
for k in range(min(exs_per_fig, len(decoded_output) - j)):
for i in range(num_prompt_frames):
for ax in (axs[k * 2, i], axs[k * 2 + 1, i]):
ax.imshow(transforms_f.to_pil_image(decoded_output[j + k, i]))
ax.set_title("Context")
ax.axis("off")
for i in range(num_prompt_frames, window_size):
axs[k * 2, i].imshow(transforms_f.to_pil_image(decoded_gtruth[j + k, i - num_prompt_frames]))
axs[k * 2, i].set_title("Ground truth")
axs[k * 2 + 1, i].imshow(transforms_f.to_pil_image(decoded_output[j + k, i]))
axs[k * 2 + 1, i].set_title("Prediction")
for ax in axs[:, i]:
ax.axis("off")
wandb_tracker = accelerator.get_tracker("wandb")
wandb_tracker.log({f"vis_{metrics_prefix}_{j}": fig}, commit=False)
plt.close(fig)
metrics["ar_lpips"].extend(compute_lpips(decoded_gtruth, # Note: not parallelizing right now
decoded_output[:, num_prompt_frames:], lpips_alex))
if step + 1 >= max_steps:
break
unwrapped_model.train()
if accelerator.is_main_process:
metrics = {f"{metrics_prefix}_{key}": np.mean(val) for key, val in metrics.items() if len(val) > 0}
print(f"{metrics=}")
wandb_tracker = accelerator.get_tracker("wandb")
wandb_tracker.log(metrics, commit=False)
def main():
args = parse_args()
assert (args.llama_config is not None) ^ (args.genie_config is not None), \
"Exactly one of `llama_config` and `genie_config` should be set."
# Manual gradient accumulation
accelerator = Accelerator(gradient_accumulation_steps=1, log_with=args.report_to, project_dir=args.output_dir)
# Make one log on every process with the configuration for debugging.
logging.basicConfig(
format="%(asctime)s - %(levelname)s - %(name)s - %(message)s",
datefmt="%m/%d/%Y %H:%M:%S",
level=logging.INFO,
)
logger.info(accelerator.state, main_process_only=False)
if accelerator.is_local_main_process:
transformers.utils.logging.set_verbosity_info()
else:
transformers.utils.logging.set_verbosity_error()
if args.seed is not None:
set_seed(args.seed)
if accelerator.is_main_process:
os.makedirs(args.output_dir, exist_ok=True)
accelerator.wait_for_everyone()
train_dataset = RawTokenDataset(args.train_data_dir, window_size=args.window_size,
stride=args.stride, filter_overlaps=args.filter_overlaps)
if not args.overfit_first_batch:
eval_dataset = RawTokenDataset(args.val_data_dir, window_size=args.window_size,
stride=args.stride, filter_overlaps=True)
else:
train_dataset.valid_start_inds = train_dataset.valid_start_inds[:args.per_device_train_batch_size
* args.gradient_accumulation_steps
* accelerator.num_processes]
eval_dataset = train_dataset
assert all(train_dataset.metadata[shared_key] == eval_dataset.metadata[shared_key]
for shared_key in ("s", "vocab_size", "hz"))
latent_side_len, vocab_size, hz = [train_dataset.metadata[key] for key in ("s", "vocab_size", "hz")]
if args.llama_config is not None:
raise NotImplementedError("Have not factorized Llama vocabulary.")
# # rope_theta 500_000: https://arxiv.org/abs/2309.16039
# config = LlamaConfig1X.from_pretrained(
# args.llama_config,
# vocab_size=vocab_size,
# pad_token_id=None,
# attention_dropout=args.attention_dropout,
# max_position_embeddings=latent_side_len**2 * args.window_size,
# rope_theta=500_000,
# use_mup=args.mu_transfer,
# _attn_implementation="flash_attention_2"
# )
#
# if hasattr(config, "max_sequence_length"): # now `max_position_embeddings`
# del config.max_sequence_length
#
# logger.info("Training new model from scratch")
# logging.info(config)
#
# if args.warmstart_path is not None:
# raise NotImplementedError
#
# # model = AutoModelForCausalLM.from_pretrained(args.warmstart_path,
# # attn_implementation="flash_attention_2")
# # model.model.embed_tokens = torch.nn.Embedding(config.vocab_size, config.hidden_size, config.pad_token_id)
# # model = model.to(dtype=torch.bfloat16)
#
# model = LlamaForCausalLM(config=config).to(dtype=torch.bfloat16)
#
# if args.mu_transfer:
# base_config = LlamaConfig1X(**(copy.deepcopy(vars(config)) | {
# "hidden_size": 512,
# "intermediate_size": 1024,
# "num_attention_heads": 8,
# }))
#
# base_model = LlamaForCausalLM(config=base_config)
#
# mup.set_base_shapes(model, base_model)
# model.apply(model._init_weights) # Note: cannot simply call init_weights because `_is_hf_initialized` is already True
# else:
# model = AutoModelForCausalLM.from_config(config,
# torch_dtype=torch.bfloat16,
# attn_implementation="flash_attention_2")
else:
config = GenieConfig.from_pretrained(args.genie_config)
config.use_mup = args.mu_transfer # Note: changing this may affect pre-trained model due to attn scaling
config.image_vocab_size = vocab_size
config.T = args.window_size
config.S = latent_side_len**2
model = STMaskGIT(config)
if args.mu_transfer:
model.set_mup_shapes(rescale_params=True)
model.init_weights() # might be unnecessary if `rescale_params` is True
# Optimizer. Split weights in two groups, one with weight decay and the other not.
no_decay = ["bias", "layer_norm.weight"]
optimizer_grouped_parameters = [
{
"params": [p for n, p in model.named_parameters() if not any(nd in n for nd in no_decay)],
"weight_decay": args.weight_decay,
},
{
"params": [p for n, p in model.named_parameters() if any(nd in n for nd in no_decay)],
"weight_decay": 0.0,
},
]
opt_class = mup.MuAdamW if args.mu_transfer else torch.optim.AdamW
optimizer = opt_class(optimizer_grouped_parameters, lr=args.learning_rate,
betas=(args.adam_beta_1, args.adam_beta_2), eps=args.adam_eps)
# DataLoaders creation:
collate_fn = default_data_collator if args.llama_config is not None else get_maskgit_collator(config)
train_dataloader = DataLoader(
train_dataset, shuffle=True, collate_fn=collate_fn,
batch_size=args.per_device_train_batch_size, num_workers=4, pin_memory=True,
)
# Shuffle eval dataset and then set shuffle=False on the dataloader.
# Shuffling in the dataloader results in reshuffling with each iteration.
eval_dataset.valid_start_inds = torch.tensor(eval_dataset.valid_start_inds)[
torch.randperm(len(eval_dataset), generator=torch.Generator().manual_seed(0))
].tolist()
eval_dataloader = DataLoader(
eval_dataset, shuffle=False, collate_fn=collate_fn,
batch_size=args.per_device_eval_batch_size, pin_memory=True,
)
# Scheduler and math around the number of training steps.
overrode_max_train_steps = False
num_update_steps_per_epoch = math.ceil(len(train_dataloader) / args.gradient_accumulation_steps)
if args.max_train_steps is None:
args.max_train_steps = args.num_train_epochs * num_update_steps_per_epoch
overrode_max_train_steps = True
if args.lr_scheduler_type == "custom_cosine": # decay to `end_ratio` of the peak learning rate
def get_lr_wrapper(warmup_steps, max_steps, end_ratio=0.1):
def get_lr(step):
if step < warmup_steps:
return (step + 1) / warmup_steps
remaining_steps = max_steps - warmup_steps
return ((1 + math.cos(math.pi * (step - warmup_steps) / remaining_steps)) / 2) \
* (1 - end_ratio) + end_ratio
return get_lr
lr_scheduler = torch.optim.lr_scheduler.LambdaLR(
optimizer, get_lr_wrapper(args.num_warmup_steps * accelerator.num_processes,
args.max_train_steps if overrode_max_train_steps
else args.max_train_steps * accelerator.num_processes)
)
else:
lr_scheduler = get_scheduler(
name=args.lr_scheduler_type,
optimizer=optimizer,
num_warmup_steps=args.num_warmup_steps * accelerator.num_processes,
num_training_steps=args.max_train_steps
if overrode_max_train_steps
else args.max_train_steps * accelerator.num_processes,
)
# Enable gradient checkpointing to save memory
if args.gradient_checkpointing:
logger.info("Enabling gradient checkpointing")
model.gradient_checkpointing_enable()
model.config.use_cache = False # incompatible with grad checkpointing
# Prepare everything with our `accelerator`.
model, optimizer, train_dataloader, eval_dataloader, lr_scheduler = accelerator.prepare(
model, optimizer, train_dataloader, eval_dataloader, lr_scheduler
)
if not args.no_compile:
torch._dynamo.config.cache_size_limit = 128
torch._dynamo.config.optimize_ddp = False # https://github.com/pytorch/pytorch/issues/104674
# TODO: https://github.com/pytorch/pytorch/issues/109774#issuecomment-2046633776
model = torch.compile(model)
# We need to recalculate our total training steps as the size of the training dataloader may have changed.
num_update_steps_per_epoch = math.ceil(len(train_dataloader) / args.gradient_accumulation_steps)
if overrode_max_train_steps:
args.max_train_steps = args.num_train_epochs * num_update_steps_per_epoch
# Afterwards we recalculate our number of training epochs
args.num_train_epochs = math.ceil(args.max_train_steps / num_update_steps_per_epoch)
# Figure out how many steps we should save the Accelerator states
checkpointing_steps = args.checkpointing_steps
if checkpointing_steps is not None and checkpointing_steps.isdigit():
checkpointing_steps = int(checkpointing_steps)
# We need to initialize the trackers we use, and also store our configuration.
# The trackers initialize automatically on the main process.
experiment_config = vars(args) | vars(config)
seq_len = latent_side_len**2 * args.window_size
effective_batch_size = args.per_device_train_batch_size * args.gradient_accumulation_steps \
* accelerator.num_processes
experiment_config.update({
"model_parameters": sum(p.numel() for p in model.parameters()),
"model_parameters_M": round(sum(p.numel() for p in model.parameters()) / 1e6),
"seq_len": seq_len,
"hz": hz / args.stride,
"train_data_tokens": len(train_dataset) * seq_len,
"effective_batch_size": effective_batch_size,
"effective_batch_size_tokens": effective_batch_size * seq_len,
"mixed_precision": accelerator.mixed_precision,
})
experiment_config["FLOPs_per_update_step"] = 6 * experiment_config["model_parameters"] \
* experiment_config["effective_batch_size_tokens"]
accelerator.init_trackers(project_name="1XGPT_muP_MAGVIT2_v0", config=experiment_config)
# Train!
total_batch_size = args.per_device_train_batch_size * accelerator.num_processes * args.gradient_accumulation_steps
logger.info("***** Running training *****")
logger.info(f" Num examples = {len(train_dataset)}")
logger.info(f" Num Epochs = {args.num_train_epochs}")
logger.info(f" Instantaneous batch size per device = {args.per_device_train_batch_size}")
logger.info(f" Total train batch size (w. parallel, distributed & accumulation) = {total_batch_size}")
logger.info(f" Gradient Accumulation steps = {args.gradient_accumulation_steps}")
logger.info(f" Total optimization steps = {args.max_train_steps}")
# Only show the progress bar once on each machine.
progress_bar = tqdm(range(args.max_train_steps), disable=not accelerator.is_local_main_process)
completed_steps = 0
starting_epoch = 0
# Potentially load in the weights and states from a previous save
if args.resume_from_checkpoint:
if args.resume_from_checkpoint is not None or args.resume_from_checkpoint != "":
checkpoint_path = args.resume_from_checkpoint
path = os.path.basename(args.resume_from_checkpoint.rstrip("/"))
else:
# Get the most recent checkpoint
dirs = [f.name for f in os.scandir(os.getcwd()) if f.is_dir()]
dirs.sort(key=os.path.getctime)
path = dirs[-1] # Sorts folders by date modified, most recent checkpoint is the last
checkpoint_path = path
path = os.path.basename(checkpoint_path)
accelerator.print(f"Resumed from checkpoint: {checkpoint_path}")
tied_weights = getattr(config, "tie_word_embeddings", False)
accelerator.load_state(checkpoint_path, strict=not tied_weights) # tied weights not saved so can't load strict, but also no need to tie again
# Extract `epoch_{i}` or `step_{i}`
training_difference = os.path.splitext(path)[0]
if "epoch" in training_difference:
starting_epoch = int(training_difference.replace("epoch_", "")) + 1
resume_step = None
completed_steps = starting_epoch * num_update_steps_per_epoch
else:
# need to multiply `gradient_accumulation_steps` to reflect real steps
resume_step = int(training_difference.replace("step_", "")) * args.gradient_accumulation_steps
starting_epoch = resume_step // len(train_dataloader)
completed_steps = resume_step // args.gradient_accumulation_steps
resume_step -= starting_epoch * len(train_dataloader)
# update the progress_bar if load from checkpoint
progress_bar.update(completed_steps)
loss_info = torch.zeros(2, device=accelerator.device) # sum, count
for epoch in range(starting_epoch, args.num_train_epochs):
model.train()
if args.resume_from_checkpoint and epoch == starting_epoch and resume_step is not None:
# We skip the first `n` batches in the dataloader when resuming from a checkpoint
active_dataloader = accelerator.skip_first_batches(train_dataloader, resume_step)
else:
active_dataloader = train_dataloader
_time = time.time()
for step, batch in enumerate(active_dataloader):
batch_size = batch["input_ids"].size(0)
# Manual gradient accumulation because accelerator somehow taking a lot of memory
is_update_step = (step + 1) % args.gradient_accumulation_steps == 0
ctx_manager = contextlib.nullcontext() if is_update_step else accelerator.no_sync(model)
with ctx_manager:
outputs = model(**batch)
loss = outputs.loss
loss_info[0] += loss.detach() * batch_size
loss_info[1] += batch_size
accelerator.backward(loss / args.gradient_accumulation_steps)
if not is_update_step:
continue
# Everything below only happens on update step
if args.max_grad_norm is not None:
accelerator.clip_grad_norm_(model.parameters(), args.max_grad_norm)
optimizer.step()
lr_scheduler.step()
optimizer.zero_grad()
loss_info = accelerator.reduce(loss_info)
avg_train_loss = (loss_info[0] / loss_info[1]).item() # sum / count
loss_info *= 0 # reset sum and count
try:
perplexity = math.exp(avg_train_loss)
except OverflowError:
perplexity = float("inf")
batch_time = time.time() - _time # accumulated batch
_time = time.time()
accelerator.log(
{
"train_perplexity": perplexity,
"train_loss": avg_train_loss,
"epoch": epoch,
"update_step": completed_steps,
"examples_processed": completed_steps * args.per_device_train_batch_size
* args.gradient_accumulation_steps * accelerator.num_processes,
"learning_rate": lr_scheduler.get_last_lr()[0],
"flops": (completed_steps + 1) * experiment_config["FLOPs_per_update_step"],
"throughput_examples": experiment_config["effective_batch_size"] / batch_time,
}, step=completed_steps)
progress_bar.update(1)
completed_steps += 1
if isinstance(checkpointing_steps, int) and completed_steps % checkpointing_steps == 0:
save_checkpoint(model, accelerator, args, f"step_{completed_steps}")
if completed_steps % args.eval_every_n_steps == 0:
model.eval()
eval_losses = []
# Compute token-level accuracy (w/ teacher forcing)
num_correct = 0
num_total = 0
for step, batch in enumerate(eval_dataloader):
batch_size = len(batch["input_ids"]) # Last batch might not be full
with torch.no_grad():
outputs = model(**batch)
loss = outputs.loss
eval_losses.append(accelerator.gather_for_metrics(loss.repeat(batch_size)))
if "acc" in outputs: # TODO: don't reduce here
# `num_correct` and `num_total` actually track mean accuracy in this case.
num_correct += accelerator.reduce(outputs.acc, reduction="mean").item() * batch_size
num_total += batch_size
else:
shifted_preds = torch.argmax(outputs.logits[:, :-1, :], dim=-1)
shifted_labels = batch["labels"][:, 1:]
num_correct += accelerator.gather_for_metrics((shifted_preds == shifted_labels).sum()).sum().item()
num_total += accelerator.gather_for_metrics(torch.tensor(torch.numel(shifted_labels),
device=accelerator.device)).sum().item()
if step >= args.max_eval_steps:
break
eval_losses = torch.cat(eval_losses)
eval_loss = torch.mean(eval_losses).item()
eval_teacher_acc = num_correct / num_total
try:
perplexity = math.exp(eval_loss)
except OverflowError:
perplexity = float("inf")
logger.info(f"{completed_steps=} {perplexity=} {eval_loss=} {eval_teacher_acc=}")
accelerator.log(
{
"eval_perplexity": perplexity,
"eval_loss": eval_loss,
"eval_teacher_acc": eval_teacher_acc,
"epoch": epoch,
"update_step": completed_steps,
"examples_processed": completed_steps * args.per_device_train_batch_size
* args.gradient_accumulation_steps * accelerator.num_processes,
"flops": completed_steps * experiment_config["FLOPs_per_update_step"],
},
step=completed_steps,
)
# Switch back to train mode
model.train()
if completed_steps % args.vis_every_n_steps == 0:
if not args.overfit_first_batch: # val is same as train otherwise
visualize(accelerator, model, eval_dataloader, args.window_size, "val")
visualize(accelerator, model, train_dataloader, args.window_size, "train")
if completed_steps >= args.max_train_steps:
break
if args.checkpointing_steps == "epoch":
save_checkpoint(model, accelerator, args, f"epoch_{epoch}")
accelerator.end_training()
save_checkpoint(model, accelerator, args, f"final_checkpt")
if __name__ == "__main__":
main()
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1c-syntax/ssl_3_1 | src/cf/Reports/АнализОпроса/Templates/МакетОтветы/Ext/Template.xml | <?xml version="1.0" encoding="UTF-8"?>
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<beginColumn>0</beginColumn>
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<endColumn>-1</endColumn>
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<namedItem xsi:type="NamedItemCells">
<name>Раздел</name>
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<type>Rows</type>
<beginRow>8</beginRow>
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<beginColumn>-1</beginColumn>
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<namedItem xsi:type="NamedItemCells">
<name>Респондент</name>
<area>
<type>Rows</type>
<beginRow>21</beginRow>
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<beginColumn>-1</beginColumn>
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<name>ЭлементШапкиТабличногоВопроса</name>
<area>
<type>Rectangle</type>
<beginRow>17</beginRow>
<endRow>17</endRow>
<beginColumn>2</beginColumn>
<endColumn>2</endColumn>
<columnsID>0752e464-59bd-4b23-990f-0b5fcb8324f1</columnsID>
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<namedItem xsi:type="NamedItemCells">
<name>ЭлементЯчейкиТабличногоВопросаПредопределенныйОтвет</name>
<area>
<type>Rectangle</type>
<beginRow>19</beginRow>
<endRow>19</endRow>
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<namedItem xsi:type="NamedItemCells">
<name>ЯчейкаТабличногоВопроса</name>
<area>
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<beginRow>18</beginRow>
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<beginColumn>2</beginColumn>
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<columnsID>0752e464-59bd-4b23-990f-0b5fcb8324f1</columnsID>
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<line width="2" gap="false">
<v8ui:style xsi:type="v8ui:SpreadsheetDocumentCellLineType">Solid</v8ui:style>
</line>
<line width="1" gap="false">
<v8ui:style xsi:type="v8ui:SpreadsheetDocumentCellLineType">Solid</v8ui:style>
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<font faceName="Arial" height="12" bold="false" italic="false" underline="false" strikeout="false" kind="Absolute" scale="100"/>
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<font faceName="Arial" height="8" bold="true" italic="false" underline="false" strikeout="false" kind="Absolute" scale="100"/>
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<width>24</width>
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<format>
<backColor>style:FieldBackColor</backColor>
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<font>0</font>
<textPlacement>Wrap</textPlacement>
<fillType>Parameter</fillType>
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<format>
<textColor xmlns:d3p1="http://v8.1c.ru/8.1/data/ui/colors/web">d3p1:RoyalBlue</textColor>
<textPlacement>Wrap</textPlacement>
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<textColor xmlns:d3p1="http://v8.1c.ru/8.1/data/ui/colors/web">d3p1:Crimson</textColor>
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<font>2</font>
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<backColor xmlns:d3p1="http://v8.1c.ru/8.1/data/ui/colors/web">d3p1:Gainsboro</backColor>
<textPlacement>Wrap</textPlacement>
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<font>3</font>
<backColor>style:FieldBackColor</backColor>
<textPlacement>Wrap</textPlacement>
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<border>1</border>
<backColor xmlns:d3p1="http://v8.1c.ru/8.1/data/ui/colors/web">d3p1:LemonChiffon</backColor>
<textPlacement>Wrap</textPlacement>
<fillType>Parameter</fillType>
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<border>1</border>
<horizontalAlignment>Right</horizontalAlignment>
<fillType>Parameter</fillType>
<detailsUse>Row</detailsUse>
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<font>5</font>
<horizontalAlignment>Right</horizontalAlignment>
<backColor>style:FieldBackColor</backColor>
<textPlacement>Wrap</textPlacement>
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<font>5</font>
<leftBorder>1</leftBorder>
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<backColor xmlns:d3p1="http://v8.1c.ru/8.1/data/ui/colors/web">d3p1:LightYellow</backColor>
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1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/jsonview/jquery.jsonview.js | (function(jQuery) {
var $, Collapser, JSONFormatter, JSONView;
JSONFormatter = (function() {
function JSONFormatter(options) {
if (options == null) {
options = {};
}
this.options = options;
}
JSONFormatter.prototype.htmlEncode = function(html) {
if (html !== null) {
return html.toString().replace(/&/g, "&").replace(/"/g, """).replace(/</g, "<").replace(/>/g, ">");
} else {
return '';
}
};
JSONFormatter.prototype.jsString = function(s) {
s = JSON.stringify(s).slice(1, -1);
return this.htmlEncode(s);
};
JSONFormatter.prototype.decorateWithSpan = function(value, className) {
return "<span class=\"" + className + "\">" + (this.htmlEncode(value)) + "</span>";
};
JSONFormatter.prototype.valueToHTML = function(value, level) {
var valueType;
if (level == null) {
level = 0;
}
valueType = Object.prototype.toString.call(value).match(/\s(.+)]/)[1].toLowerCase();
return this["" + valueType + "ToHTML"].call(this, value, level);
};
JSONFormatter.prototype.nullToHTML = function(value) {
return this.decorateWithSpan('null', 'null');
};
JSONFormatter.prototype.numberToHTML = function(value) {
return this.decorateWithSpan(value, 'num');
};
JSONFormatter.prototype.stringToHTML = function(value) {
var multilineClass, newLinePattern;
if (/^(http|https|file):\/\/[^\s]+$/i.test(value)) {
return "<a href=\"" + (this.htmlEncode(value)) + "\"><span class=\"q\">\"</span>" + (this.jsString(value)) + "<span class=\"q\">\"</span></a>";
} else {
multilineClass = '';
value = this.jsString(value);
if (this.options.nl2br) {
newLinePattern = /([^>\\r\\n]?)(\\r\\n|\\n\\r|\\r|\\n)/g;
if (newLinePattern.test(value)) {
multilineClass = ' multiline';
value = (value + '').replace(newLinePattern, '$1' + '<br />');
}
}
return "<span class=\"string" + multilineClass + "\">\"" + value + "\"</span>";
}
};
JSONFormatter.prototype.booleanToHTML = function(value) {
return this.decorateWithSpan(value, 'bool');
};
JSONFormatter.prototype.arrayToHTML = function(array, level) {
var collapsible, hasContents, index, numProps, output, value, _i, _len;
if (level == null) {
level = 0;
}
hasContents = false;
output = '';
numProps = array.length;
for (index = _i = 0, _len = array.length; _i < _len; index = ++_i) {
value = array[index];
hasContents = true;
output += '<li>' + this.valueToHTML(value, level + 1);
if (numProps > 1) {
output += ',';
}
output += '</li>';
numProps--;
}
if (hasContents) {
collapsible = level === 0 ? '' : ' collapsible';
return "[<ul class=\"array level" + level + collapsible + "\">" + output + "</ul>]";
} else {
return '[ ]';
}
};
JSONFormatter.prototype.objectToHTML = function(object, level) {
var collapsible, hasContents, numProps, output, prop, value;
if (level == null) {
level = 0;
}
hasContents = false;
output = '';
numProps = 0;
for (prop in object) {
numProps++;
}
for (prop in object) {
value = object[prop];
hasContents = true;
output += "<li><span class=\"prop\"><span class=\"q\">\"</span>" + (this.jsString(prop)) + "<span class=\"q\">\"</span></span>: " + (this.valueToHTML(value, level + 1));
if (numProps > 1) {
output += ',';
}
output += '</li>';
numProps--;
}
if (hasContents) {
collapsible = level === 0 ? '' : ' collapsible';
return "{<ul class=\"obj level" + level + collapsible + "\">" + output + "</ul>}";
} else {
return '{ }';
}
};
JSONFormatter.prototype.jsonToHTML = function(json) {
return "<div class=\"jsonview\">" + (this.valueToHTML(json)) + "</div>";
};
return JSONFormatter;
})();
(typeof module !== "undefined" && module !== null) && (module.exports = JSONFormatter);
Collapser = {
bindEvent: function(item, collapsed) {
var collapser;
collapser = document.createElement('div');
collapser.className = 'collapser';
collapser.innerHTML = collapsed ? '+' : '-';
collapser.addEventListener('click', (function(_this) {
return function(event) {
return _this.toggle(event.target);
};
})(this));
item.insertBefore(collapser, item.firstChild);
if (collapsed) {
return this.collapse(collapser);
}
},
expand: function(collapser) {
var ellipsis, target;
target = this.collapseTarget(collapser);
ellipsis = target.parentNode.getElementsByClassName('ellipsis')[0];
target.parentNode.removeChild(ellipsis);
target.style.display = '';
return collapser.innerHTML = '-';
},
collapse: function(collapser) {
var ellipsis, target;
target = this.collapseTarget(collapser);
target.style.display = 'none';
ellipsis = document.createElement('span');
ellipsis.className = 'ellipsis';
ellipsis.innerHTML = ' … ';
target.parentNode.insertBefore(ellipsis, target);
return collapser.innerHTML = '+';
},
toggle: function(collapser) {
var target;
target = this.collapseTarget(collapser);
if (target.style.display === 'none') {
return this.expand(collapser);
} else {
return this.collapse(collapser);
}
},
collapseTarget: function(collapser) {
var target, targets;
targets = collapser.parentNode.getElementsByClassName('collapsible');
if (!targets.length) {
return;
}
return target = targets[0];
}
};
$ = jQuery;
JSONView = {
collapse: function(el) {
if (el.innerHTML === '-') {
return Collapser.collapse(el);
}
},
expand: function(el) {
if (el.innerHTML === '+') {
return Collapser.expand(el);
}
},
toggle: function(el) {
return Collapser.toggle(el);
}
};
return $.fn.JSONView = function() {
var args, defaultOptions, formatter, json, method, options, outputDoc;
args = arguments;
if (JSONView[args[0]] != null) {
method = args[0];
return this.each(function() {
var $this, level;
$this = $(this);
if (args[1] != null) {
level = args[1];
return $this.find(".jsonview .collapsible.level" + level).siblings('.collapser').each(function() {
return JSONView[method](this);
});
} else {
return $this.find('.jsonview > ul > li > .collapsible').siblings('.collapser').each(function() {
return JSONView[method](this);
});
}
});
} else {
json = args[0];
options = args[1] || {};
defaultOptions = {
collapsed: false,
nl2br: false
};
options = $.extend(defaultOptions, options);
formatter = new JSONFormatter({
nl2br: options.nl2br
});
if (Object.prototype.toString.call(json) === '[object String]') {
json = JSON.parse(json);
}
outputDoc = formatter.jsonToHTML(json);
return this.each(function() {
var $this, item, items, _i, _len, _results;
$this = $(this);
$this.html(outputDoc);
items = $this[0].getElementsByClassName('collapsible');
_results = [];
for (_i = 0, _len = items.length; _i < _len; _i++) {
item = items[_i];
if (item.parentNode.nodeName === 'LI') {
_results.push(Collapser.bindEvent(item.parentNode, options.collapsed));
} else {
_results.push(void 0);
}
}
return _results;
});
}
};
})(jQuery);
| 8,036 | jquery.jsonview | js | en | javascript | code | {"qsc_code_num_words": 719, "qsc_code_num_chars": 8036.0, "qsc_code_mean_word_length": 6.05841446, "qsc_code_frac_words_unique": 0.18358832, "qsc_code_frac_chars_top_2grams": 0.02984389, "qsc_code_frac_chars_top_3grams": 0.00918274, "qsc_code_frac_chars_top_4grams": 0.01285583, "qsc_code_frac_chars_dupe_5grams": 0.25367309, "qsc_code_frac_chars_dupe_6grams": 0.22130395, "qsc_code_frac_chars_dupe_7grams": 0.1758494, "qsc_code_frac_chars_dupe_8grams": 0.1584022, "qsc_code_frac_chars_dupe_9grams": 0.1584022, "qsc_code_frac_chars_dupe_10grams": 0.05188246, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00521558, "qsc_code_frac_chars_whitespace": 0.28422101, "qsc_code_size_file_byte": 8036.0, "qsc_code_num_lines": 250.0, "qsc_code_num_chars_line_max": 178.0, "qsc_code_num_chars_line_mean": 32.144, "qsc_code_frac_chars_alphabet": 0.75208623, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.28691983, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.00843882, "qsc_code_frac_chars_string_length": 0.08549029, "qsc_code_frac_chars_long_word_length": 0.00833748, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codejavascript_cate_ast": 1.0, "qsc_codejavascript_cate_var_zero": 0.0, "qsc_codejavascript_frac_lines_func_ratio": 0.00421941, "qsc_codejavascript_num_statement_line": 0.00421941, "qsc_codejavascript_score_lines_no_logic": 0.21518987, "qsc_codejavascript_frac_words_legal_var_name": 0.81818182, "qsc_codejavascript_frac_words_legal_func_name": 1.0, "qsc_codejavascript_frac_words_legal_class_name": null, "qsc_codejavascript_frac_lines_print": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codejavascript_cate_ast": 0, "qsc_codejavascript_cate_var_zero": 0, "qsc_codejavascript_frac_lines_func_ratio": 0, "qsc_codejavascript_score_lines_no_logic": 0, "qsc_codejavascript_frac_lines_print": 0} |
1x-technologies/1xgpt | data.py | import json
import math
import os
import random
from pathlib import Path
import numpy as np
import torch
from einops import rearrange
from torch.utils.data import Dataset as TorchDataset
from genie.factorization_utils import factorize_token_ids, unfactorize_token_ids
from genie.config import GenieConfig
from genie.st_mask_git import cosine_schedule
class RawTokenDataset(TorchDataset):
""" Loads raw uint32 tokens as memmap-backed array """
def __init__(
self,
data_dir,
window_size,
stride=1,
filter_interrupts=True,
filter_overlaps=False
):
"""
Args:
data_dir: directory with the same format as `data/train_v0` and `data/val_v0`.
Notably, has `video.bin` and `metadata.json`
window_size: number of frames per "video" sequence
stride: frame skip
filter_interrupts: Under 3% of training frame sequences are the concatenation of two different clips.
If filter_interrupts is True, will filter out these sequences using the segment ids.
filter_overlaps: If False (default), one frame will appear in multiple examples;
e.g. frame 0 might appear as the first frame in example 0 and also the second frame in example 15.
If True, will filter out examples so that each frame appears at most once in the dataset.
"""
data_dir = Path(data_dir)
with open(data_dir / "metadata.json") as f:
self.metadata = json.load(f)
shape = (self.metadata["num_images"], self.metadata["s"], self.metadata["s"])
video_tokens_path, segment_ids_path, action_tokens_path = [data_dir / f"{name}.bin"
for name in ["video", "segment_ids", "actions"]]
token_dtype = np.dtype(self.metadata.get("token_dtype", "uint32"))
self.data = np.memmap(video_tokens_path, dtype=token_dtype, mode="r", shape=shape)
# self.actions = np.memmap(action_tokens_path, dtype=np.uint16, mode="r", shape=(self.metadata["num_images"],))
if os.path.isfile(segment_ids_path):
self.segment_ids = np.memmap(
segment_ids_path,
dtype=np.int32,
mode="r",
shape=(self.metadata["num_images"],)
)
else:
self.segment_ids = None
if filter_interrupts:
raise NotImplementedError("Cannot filter interrupted sequences without segment ids.")
self.window_size, self.stride = window_size, stride
# Number of frames between the first and last frames of a video sequence (excluding one endpoint frame)
self.video_len = (self.window_size - 1) * self.stride
self.valid_start_inds = []
for start_ind in range(len(self.data) - self.video_len):
# Assuming `segment_ids` is monotonically increasing, a sequence is interrupted
# if the first and last frames have different segment ids.
if not (filter_interrupts and self.segment_ids[start_ind] != self.segment_ids[start_ind + self.video_len]):
self.valid_start_inds.append(start_ind)
if filter_overlaps:
# Instead of using a sliding window, use each frame at most once
filtered_start_inds = []
for start_ind in self.valid_start_inds:
overlapping_start_inds = {start_ind - i * self.stride for i in range(1, self.window_size)}
# all sequences from `overlapping_start_inds` will also contain `start_ind`,
# so exclude sequence starting from `start_ind` if any of `overlapping_start_inds` is already being used
for existing_start_ind in filtered_start_inds[-self.window_size * self.stride:]:
# Bound could be improved
if existing_start_ind in overlapping_start_inds:
break
else:
filtered_start_inds.append(start_ind)
self.valid_start_inds = filtered_start_inds
def __len__(self):
return len(self.valid_start_inds)
def __getitem__(self, idx):
"""
Returns a flattened sequence of tokens representing `self.window_size` frames,
spaced `self.stride` apart.
"""
start_ind = self.valid_start_inds[idx]
x = torch.from_numpy((self.data[start_ind : start_ind + self.video_len + 1 : self.stride]).astype(np.int64))
x = x.flatten()
attention_mask = torch.ones_like(x)
return {
"input_ids": x,
"labels": x,
"attention_mask": attention_mask,
}
def get_maskgit_collator(config: GenieConfig):
mask_token_id = config.image_vocab_size
h = w = math.isqrt(config.S)
def collate_fn(features) -> dict[str, torch.Tensor]:
# during training, map (z_0, z_1', z_2') -> (null, z_1, z_2)
# (z_0, z_1') -> (null, z_1) is the diffusion operator on z_1' -> z_1
input_ids = torch.stack([ex["input_ids"] for ex in features])
device = input_ids.device
x_THW = rearrange(input_ids, "b (t h w) -> b t h w", b=len(features), t=config.T,
h=h, w=w)
x_THWC = factorize_token_ids(x_THW, config.num_factored_vocabs, config.factored_vocab_size)
labels = x_THW.clone()
# As done in Copilot-4D paper, add random noise sampled with a random rate between 0% and `config.max_corrupt_rate`
r = torch.rand(x_THWC.size(), device=device)
u01 = torch.rand((), device=device)
random_patches_mask = r < config.max_corrupt_rate * u01
random_values = torch.randint(low=0, high=config.factored_vocab_size, size=x_THWC.size(),
dtype=torch.long, device=device)
x_THWC[random_patches_mask] = random_values[random_patches_mask]
if random.random() < config.non_mlm_ratio: # Closer to autoregressive inference
# Leave frames [0, first_masked_frame) unmasked.
first_masked_frame = random.randint(config.num_prompt_frames, config.T - 1)
x_THWC_view = x_THWC[:, first_masked_frame:]
# Arbitrary numbers here, but corrupting later frames more
# since we likely have compounding errors.
correct_rate = random.uniform(0.25, 1.0)
for i in range(x_THWC_view.size(1)):
correct_rate *= random.uniform(0.9, 1.0)
r = torch.rand((len(features), h, w, config.num_factored_vocabs), device=device)
random_patches_mask = r > correct_rate
x_THWC_view[:, i][random_patches_mask] = random_values[:, first_masked_frame + i][random_patches_mask]
else: # Typical MLM masking
first_masked_frame = 1
mask = torch.zeros(1)
c = 0
while mask.max() == 0: # We could get unlucky and mask no tokens?
# per-minibatch, per-frame masking probability (could try variable masking rate from MUSE)
mask_prob_T = cosine_schedule(torch.rand(len(features), config.T - first_masked_frame, 1, 1))
r = torch.rand_like(x_THW[:, first_masked_frame:], dtype=torch.float)
mask = r < mask_prob_T
c += 1
if c > 1:
print(f"Generated mask {c} > 1 times.")
x_THW = unfactorize_token_ids(x_THWC, config.num_factored_vocabs, config.factored_vocab_size)
x_THW[:, first_masked_frame:][mask] = mask_token_id
return {
"input_ids": rearrange(x_THW, "b t h w -> b (t h w)"),
"labels": rearrange(labels, "b t h w -> b (t h w)"),
}
return collate_fn
| 7,767 | data | py | en | python | code | {"qsc_code_num_words": 1038, "qsc_code_num_chars": 7767.0, "qsc_code_mean_word_length": 4.45375723, "qsc_code_frac_words_unique": 0.27649326, "qsc_code_frac_chars_top_2grams": 0.02725503, "qsc_code_frac_chars_top_3grams": 0.02768765, "qsc_code_frac_chars_top_4grams": 0.02336145, "qsc_code_frac_chars_dupe_5grams": 0.16071815, "qsc_code_frac_chars_dupe_6grams": 0.08263033, "qsc_code_frac_chars_dupe_7grams": 0.03850314, "qsc_code_frac_chars_dupe_8grams": 0.02509193, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01061724, "qsc_code_frac_chars_whitespace": 0.28453714, "qsc_code_size_file_byte": 7767.0, "qsc_code_num_lines": 169.0, "qsc_code_num_chars_line_max": 124.0, "qsc_code_num_chars_line_mean": 45.95857988, "qsc_code_frac_chars_alphabet": 0.82130646, "qsc_code_frac_chars_comments": 0.26355092, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.04504505, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.05116697, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.04504505, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.10810811, "qsc_codepython_frac_lines_simplefunc": 0.009009009009009009, "qsc_codepython_score_lines_no_logic": 0.1981982, "qsc_codepython_frac_lines_print": 0.00900901} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/jsonview/jquery.jsonview.css | @charset "UTF-8";
.jsonview {
font-family: monospace;
font-size: 1.1em;
white-space: pre-wrap; }
.jsonview .prop {
font-weight: bold; }
.jsonview .null {
color: red; }
.jsonview .bool {
color: blue; }
.jsonview .num {
color: blue; }
.jsonview .string {
color: green;
white-space: pre-wrap; }
.jsonview .string.multiline {
display: inline-block;
vertical-align: text-top; }
.jsonview .collapser {
position: absolute;
left: -1em;
cursor: pointer; }
.jsonview .collapsible {
transition: height 1.2s;
transition: width 1.2s; }
.jsonview .collapsible.collapsed {
height: .8em;
width: 1em;
display: inline-block;
overflow: hidden;
margin: 0; }
.jsonview .collapsible.collapsed:before {
content: "…";
width: 1em;
margin-left: .2em; }
.jsonview .collapser.collapsed {
transform: rotate(0deg); }
.jsonview .q {
display: inline-block;
width: 0px;
color: transparent; }
.jsonview li {
position: relative; }
.jsonview ul {
list-style: none;
margin: 0 0 0 2em;
padding: 0; }
.jsonview h1 {
font-size: 1.2em; }
| 1,159 | jquery.jsonview | css | en | css | data | {"qsc_code_num_words": 130, "qsc_code_num_chars": 1159.0, "qsc_code_mean_word_length": 5.39230769, "qsc_code_frac_words_unique": 0.52307692, "qsc_code_frac_chars_top_2grams": 0.05563481, "qsc_code_frac_chars_top_3grams": 0.07703281, "qsc_code_frac_chars_top_4grams": 0.04850214, "qsc_code_frac_chars_dupe_5grams": 0.07132668, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02671312, "qsc_code_frac_chars_whitespace": 0.25711821, "qsc_code_size_file_byte": 1159.0, "qsc_code_num_lines": 50.0, "qsc_code_num_chars_line_max": 44.0, "qsc_code_num_chars_line_mean": 23.18, "qsc_code_frac_chars_alphabet": 0.78397213, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.18, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00517688, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0} |
1x-technologies/1xgpt | visualize.py | #!/usr/bin/env python3
"""
Script to decode tokenized video into images/video.
Example usage: See https://github.com/1x-technologies/1xgpt?tab=readme-ov-file#1x-genie-baseline
"""
import argparse
import math
import os
from PIL import Image, ImageDraw
import numpy as np
import torch
import torch.distributed.optim
import torch.utils.checkpoint
import torch.utils.data
import torchvision.transforms.v2.functional as transforms_f
from einops import rearrange
from matplotlib import pyplot as plt
from data import RawTokenDataset
from magvit2.config import VQConfig
from magvit2.models.lfqgan import VQModel
def parse_args():
parser = argparse.ArgumentParser(description="Visualize tokenized video as GIF or comic.")
parser.add_argument(
"--stride",
type=int,
default=1,
help="Frame skip",
)
parser.add_argument(
"--token_dir",
type=str,
default="data/genie_generated",
help="Directory of tokens, in the format of `video.bin` and `metadata.json`. "
"Visualized gif and comic will be written here.",
)
parser.add_argument(
"--offset", type=int, default=0, help="Offset to start generating images from"
)
parser.add_argument(
"--fps", type=int, default=2, help="Frames per second"
)
parser.add_argument(
"--max_images", type=int, default=None, help="Maximum number of images to generate. None for all."
)
parser.add_argument(
"--disable_comic", action="store_true",
help="Comic generation assumes `token_dir` follows the same format as generate: e.g., "
"`prompt | predictions | gtruth` in `video.bin`, `window_size` in `metadata.json`."
"Therefore, comic should be disabled when visualizing videos without this format, such as the dataset."
)
args = parser.parse_args()
return args
def export_to_gif(frames: list, output_gif_path: str, fps: int):
"""
Export a list of frames to a GIF.
Args:
- frames (list): List of frames (as numpy arrays or PIL Image objects).
- output_gif_path (str): Path to save the output GIF.
- fps (int): Desired frames per second.
"""
# Convert numpy arrays to PIL Images if needed
pil_frames = [Image.fromarray(frame) if isinstance(
frame, np.ndarray) else frame for frame in frames]
duration_ms = 1000 / fps
pil_frames[0].save(output_gif_path.replace(".mp4", ".gif"),
format="GIF",
append_images=pil_frames[1:],
save_all=True,
duration=duration_ms,
loop=0)
def rescale_magvit_output(magvit_output):
"""
[-1, 1] -> [0, 255]
Important: clip to [0, 255]
"""
rescaled_output = ((magvit_output.detach().cpu() + 1) * 127.5)
clipped_output = torch.clamp(rescaled_output, 0, 255).to(dtype=torch.uint8)
return clipped_output
def decode_latents_wrapper(batch_size=16, tokenizer_ckpt="data/magvit2.ckpt", max_images=None):
device = "cuda"
dtype = torch.bfloat16
model_config = VQConfig()
model = VQModel(model_config, ckpt_path=tokenizer_ckpt)
model = model.to(device=device, dtype=dtype)
@torch.no_grad()
def decode_latents(video_data):
"""
video_data: (b, h, w), where b is different from training/eval batch size.
"""
decoded_imgs = []
for shard_ind in range(math.ceil(len(video_data) / batch_size)):
batch = torch.from_numpy(video_data[shard_ind * batch_size: (shard_ind + 1) * batch_size].astype(np.int64))
if model.use_ema:
with model.ema_scope():
quant = model.quantize.get_codebook_entry(rearrange(batch, "b h w -> b (h w)"),
bhwc=batch.shape + (model.quantize.codebook_dim,)).flip(1)
decoded_imgs.append(((rescale_magvit_output(model.decode(quant.to(device=device, dtype=dtype))))))
if max_images and len(decoded_imgs) * batch_size >= max_images:
break
return [transforms_f.to_pil_image(img) for img in torch.cat(decoded_imgs)]
return decode_latents
def caption_image(pil_image: Image, caption: str):
"""
Add a bit of empty space at the top, and add the caption there
"""
border_size = 36
font_size = 24
width, height = pil_image.size
new_width = width
new_height = height + border_size
new_image = Image.new("RGB", (new_width, new_height), "white")
new_image.paste(pil_image, (0, border_size))
# Draw the caption
draw = ImageDraw.Draw(new_image)
# Center text (`align` keyword doesn't work)
_, _, text_w, text_h = draw.textbbox((0, 0), caption, font_size=font_size)
draw.text(((width - text_w) / 2, (border_size - text_h) / 2), caption, fill="black", font_size=font_size)
return new_image
@torch.no_grad()
def main():
args = parse_args()
# Load tokens
token_dataset = RawTokenDataset(args.token_dir, 1, filter_interrupts=False, filter_overlaps=False)
video_tokens = token_dataset.data
metadata = token_dataset.metadata
video_frames = decode_latents_wrapper(max_images=args.max_images)(video_tokens[args.offset::args.stride])
output_gif_path = os.path.join(args.token_dir, f"generated_offset{args.offset}.gif")
# `generate` should populate `metadata.json` with these keys, while ground truth metadata does not have them
is_generated_data = all(key in metadata for key in ("num_prompt_frames", "window_size"))
if is_generated_data:
if video_tokens.shape[0] != metadata["window_size"] * 2 - metadata["num_prompt_frames"]:
raise ValueError(f"Unexpected {video_tokens.shape=} given {metadata['window_size']=}, {metadata['num_prompt_frames']=}")
captioned_frames = []
for i, frame in enumerate(video_frames):
if i < metadata["num_prompt_frames"]:
caption = "Prompt"
elif i < metadata["window_size"]:
caption = "Generated"
else:
caption = "Ground truth"
captioned_frames.append(caption_image(frame, caption))
else:
# Leave ground truth frames uncaptioned
captioned_frames = video_frames
export_to_gif(captioned_frames, output_gif_path, args.fps)
print(f"Saved to {output_gif_path}")
if not args.disable_comic:
fig, axs = plt.subplots(nrows=2, ncols=metadata["window_size"], figsize=(3 * metadata["window_size"], 3 * 2))
for i, image in enumerate(video_frames):
if i < metadata["num_prompt_frames"]:
curr_axs = [axs[0, i], axs[1, i]]
title = "Prompt"
elif i < metadata["window_size"]:
curr_axs = [axs[0, i]]
title = "Prediction"
else:
curr_axs = [axs[1, i - metadata["window_size"] + metadata["num_prompt_frames"]]]
title = "Ground truth"
for ax in curr_axs:
ax.set_title(title)
ax.imshow(image)
ax.axis("off")
output_comic_path = os.path.join(args.token_dir, f"generated_comic_offset{args.offset}.png")
plt.savefig(output_comic_path, bbox_inches="tight")
plt.close()
print(f"Saved to {output_comic_path}")
if __name__ == "__main__":
main()
| 7,458 | visualize | py | en | python | code | {"qsc_code_num_words": 975, "qsc_code_num_chars": 7458.0, "qsc_code_mean_word_length": 4.68615385, "qsc_code_frac_words_unique": 0.31076923, "qsc_code_frac_chars_top_2grams": 0.01969796, "qsc_code_frac_chars_top_3grams": 0.02757715, "qsc_code_frac_chars_top_4grams": 0.02516962, "qsc_code_frac_chars_dupe_5grams": 0.0914861, "qsc_code_frac_chars_dupe_6grams": 0.06741081, "qsc_code_frac_chars_dupe_7grams": 0.05471657, "qsc_code_frac_chars_dupe_8grams": 0.03676953, "qsc_code_frac_chars_dupe_9grams": 0.03676953, "qsc_code_frac_chars_dupe_10grams": 0.02101116, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01198569, "qsc_code_frac_chars_whitespace": 0.25046929, "qsc_code_size_file_byte": 7458.0, "qsc_code_num_lines": 210.0, "qsc_code_num_chars_line_max": 133.0, "qsc_code_num_chars_line_mean": 35.51428571, "qsc_code_frac_chars_alphabet": 0.80536673, "qsc_code_frac_chars_comments": 0.11075355, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.10714286, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.00714286, "qsc_code_frac_chars_string_length": 0.17534456, "qsc_code_frac_chars_long_word_length": 0.02327718, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.05, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.10714286, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.19285714, "qsc_codepython_frac_lines_print": 0.01428571} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1c-syntax/ssl_3_1 | src/cf/Reports/АнализОпроса/Forms/ФормаОтчета/Ext/Form.xml | <?xml version="1.0" encoding="UTF-8"?>
<Form xmlns="http://v8.1c.ru/8.3/xcf/logform" xmlns:app="http://v8.1c.ru/8.2/managed-application/core" xmlns:cfg="http://v8.1c.ru/8.1/data/enterprise/current-config" xmlns:dcscor="http://v8.1c.ru/8.1/data-composition-system/core" xmlns:dcssch="http://v8.1c.ru/8.1/data-composition-system/schema" xmlns:dcsset="http://v8.1c.ru/8.1/data-composition-system/settings" xmlns:ent="http://v8.1c.ru/8.1/data/enterprise" xmlns:lf="http://v8.1c.ru/8.2/managed-application/logform" xmlns:style="http://v8.1c.ru/8.1/data/ui/style" xmlns:sys="http://v8.1c.ru/8.1/data/ui/fonts/system" xmlns:v8="http://v8.1c.ru/8.1/data/core" xmlns:v8ui="http://v8.1c.ru/8.1/data/ui" xmlns:web="http://v8.1c.ru/8.1/data/ui/colors/web" xmlns:win="http://v8.1c.ru/8.1/data/ui/colors/windows" xmlns:xr="http://v8.1c.ru/8.3/xcf/readable" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="2.18">
<CommandSet>
<ExcludedCommand>CancelEdit</ExcludedCommand>
<ExcludedCommand>ChangeSettingsStructure</ExcludedCommand>
<ExcludedCommand>ChangeVariant</ExcludedCommand>
<ExcludedCommand>EndEdit</ExcludedCommand>
<ExcludedCommand>Generate</ExcludedCommand>
<ExcludedCommand>LoadReportSettings</ExcludedCommand>
<ExcludedCommand>LoadVariant</ExcludedCommand>
<ExcludedCommand>ReportSettings</ExcludedCommand>
<ExcludedCommand>SaveReportSettings</ExcludedCommand>
<ExcludedCommand>SaveVariant</ExcludedCommand>
<ExcludedCommand>StandardSettings</ExcludedCommand>
</CommandSet>
<ReportFormType>Main</ReportFormType>
<AutoShowState>ShowOnComposition</AutoShowState>
<ReportResultViewMode>Auto</ReportResultViewMode>
<ViewModeApplicationOnSetReportResult>Auto</ViewModeApplicationOnSetReportResult>
<AutoCommandBar name="ФормаКоманднаяПанель" id="-1">
<ChildItems>
<Button name="Кнопка" id="5">
<Type>CommandBarButton</Type>
<Representation>PictureAndText</Representation>
<DefaultButton>true</DefaultButton>
<SkipOnInput>false</SkipOnInput>
<CommandName>Form.Command.Сформировать</CommandName>
<Title>
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Сформировать</v8:content>
</v8:item>
</Title>
<ExtendedTooltip name="КнопкаРасширеннаяПодсказка" id="9"/>
</Button>
</ChildItems>
</AutoCommandBar>
<Events>
<Event name="OnOpen">ПриОткрытии</Event>
<Event name="OnCreateAtServer">ПриСозданииНаСервере</Event>
</Events>
<ChildItems>
<UsualGroup name="ГруппаПараметрыОтчета" id="8">
<Title>
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Параметры отчета</v8:content>
</v8:item>
</Title>
<Behavior>Usual</Behavior>
<Representation>None</Representation>
<ShowTitle>false</ShowTitle>
<ExtendedTooltip name="ГруппаПараметрыОтчетаРасширеннаяПодсказка" id="10"/>
<ChildItems>
<InputField name="Опрос" id="3">
<DataPath>Опрос</DataPath>
<Title>
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Опрос</v8:content>
</v8:item>
</Title>
<Width>40</Width>
<HorizontalStretch>false</HorizontalStretch>
<DropListButton>false</DropListButton>
<ChoiceButton>true</ChoiceButton>
<ChoiceButtonRepresentation>ShowInInputField</ChoiceButtonRepresentation>
<DropListWidth>40</DropListWidth>
<ContextMenu name="ОпросКонтекстноеМеню" id="4"/>
<ExtendedTooltip name="ОпросРасширеннаяПодсказка" id="11"/>
</InputField>
<InputField name="ВидОтчета" id="6">
<DataPath>ВидОтчета</DataPath>
<Title>
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Вид отчета</v8:content>
</v8:item>
</Title>
<Width>15</Width>
<HorizontalStretch>false</HorizontalStretch>
<ListChoiceMode>true</ListChoiceMode>
<ChooseType>false</ChooseType>
<ChoiceList>
<xr:Item>
<xr:Presentation/>
<xr:CheckState>0</xr:CheckState>
<xr:Value xsi:type="FormChoiceListDesTimeValue">
<Presentation>
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Анализ ответов</v8:content>
</v8:item>
</Presentation>
<Value xsi:type="xs:string">АнализОтветов</Value>
</xr:Value>
</xr:Item>
<xr:Item>
<xr:Presentation/>
<xr:CheckState>0</xr:CheckState>
<xr:Value xsi:type="FormChoiceListDesTimeValue">
<Presentation>
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Анализ ответивших</v8:content>
</v8:item>
</Presentation>
<Value xsi:type="xs:string">АнализОтветивших</Value>
</xr:Value>
</xr:Item>
</ChoiceList>
<ContextMenu name="ВидОтчетаКонтекстноеМеню" id="7"/>
<ExtendedTooltip name="ВидОтчетаРасширеннаяПодсказка" id="12"/>
</InputField>
</ChildItems>
</UsualGroup>
<SpreadSheetDocumentField name="ТаблицаОтчета" id="1">
<DataPath>ТаблицаОтчета</DataPath>
<TitleLocation>None</TitleLocation>
<VerticalScrollBar>true</VerticalScrollBar>
<HorizontalScrollBar>true</HorizontalScrollBar>
<ContextMenu name="ТаблицаОтчетаКонтекстноеМеню" id="2"/>
<ExtendedTooltip name="ТаблицаОтчетаРасширеннаяПодсказка" id="13"/>
<Events>
<Event name="DetailProcessing">ТаблицаОтчетаОбработкаРасшифровки</Event>
</Events>
</SpreadSheetDocumentField>
</ChildItems>
<Attributes>
<Attribute name="Отчет" id="1">
<Type>
<v8:Type>cfg:ReportObject.АнализОпроса</v8:Type>
</Type>
<MainAttribute>true</MainAttribute>
</Attribute>
<Attribute name="ТаблицаОтчета" id="2">
<Type>
<v8:Type xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet">mxl:SpreadsheetDocument</v8:Type>
</Type>
</Attribute>
<Attribute name="Опрос" id="3">
<Title>
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Опрос</v8:content>
</v8:item>
</Title>
<Type>
<v8:Type>cfg:DocumentRef.НазначениеОпросов</v8:Type>
</Type>
<FillCheck>ShowError</FillCheck>
</Attribute>
<Attribute name="НаименованиеОпроса" id="5">
<Type>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>80</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</Type>
</Attribute>
<Attribute name="ДатаОпроса" id="6">
<Type>
<v8:Type>xs:dateTime</v8:Type>
<v8:DateQualifiers>
<v8:DateFractions>Date</v8:DateFractions>
</v8:DateQualifiers>
</Type>
</Attribute>
<Attribute name="ВидОтчета" id="7">
<Title>
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Вид отчета</v8:content>
</v8:item>
</Title>
<Type>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>0</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</Type>
</Attribute>
</Attributes>
<Commands>
<Command name="Сформировать" id="1">
<Title>
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Сформировать</v8:content>
</v8:item>
</Title>
<ToolTip>
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Сформировать отчет</v8:content>
</v8:item>
</ToolTip>
<Picture>
<xr:Ref>StdPicture.GenerateReport</xr:Ref>
<xr:LoadTransparent>true</xr:LoadTransparent>
</Picture>
<Action>Сформировать</Action>
<CurrentRowUse>DontUse</CurrentRowUse>
</Command>
</Commands>
<Parameters>
<Parameter name="Опрос">
<Type>
<v8:Type>cfg:DocumentRef.НазначениеОпросов</v8:Type>
</Type>
</Parameter>
</Parameters>
</Form> | 7,503 | Form | xml | ru | xml | data | {"qsc_code_num_words": 819, "qsc_code_num_chars": 7503.0, "qsc_code_mean_word_length": 6.2026862, "qsc_code_frac_words_unique": 0.24542125, "qsc_code_frac_chars_top_2grams": 0.02362205, "qsc_code_frac_chars_top_3grams": 0.02519685, "qsc_code_frac_chars_top_4grams": 0.03149606, "qsc_code_frac_chars_dupe_5grams": 0.32952756, "qsc_code_frac_chars_dupe_6grams": 0.32244094, "qsc_code_frac_chars_dupe_7grams": 0.30314961, "qsc_code_frac_chars_dupe_8grams": 0.29409449, "qsc_code_frac_chars_dupe_9grams": 0.26141732, "qsc_code_frac_chars_dupe_10grams": 0.21240157, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.03264794, "qsc_code_frac_chars_whitespace": 0.15087298, "qsc_code_size_file_byte": 7503.0, "qsc_code_num_lines": 215.0, "qsc_code_num_chars_line_max": 918.0, "qsc_code_num_chars_line_mean": 34.89767442, "qsc_code_frac_chars_alphabet": 0.76455815, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 1.0, "qsc_code_frac_lines_dupe_lines": 0.51162791, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.16393443, "qsc_code_frac_chars_long_word_length": 0.03718513, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 1, "qsc_code_cate_autogen": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0} |
1xinghuan/usdNodeGraph | lib/python/usdNodeGraph/ui/graph/view.py | # -*- coding: utf-8 -*-
import os
import re
import json
import time
from pxr import Usd, Sdf, Ar
from usdNodeGraph.module.sqt import *
from usdNodeGraph.utils.const import VIEWPORT_FULL_UPDATE
from usdNodeGraph.core.node import (
Node, TransformNode, AttributeSetNode, MetadataNode,
RelationshipSetNode, MaterialAssignNode, LIST_EDITOR_PROXY_OPS
)
from .nodeItem import NodeItem
from .other.pipe import Pipe
from .other.port import Port
from usdNodeGraph.utils.log import get_logger, log_cost_time
from usdNodeGraph.core.state import GraphState
from usdNodeGraph.core.parse._xml import ET, convertToString
from usdNodeGraph.utils.res import resource
from usdNodeGraph.ui.utils.menu import WithMenuObject
from usdNodeGraph.ui.utils.drop import DropWidget
logger = get_logger('usdNodeGraph.view')
NODE_NAME_PATTERN = re.compile('(?P<suffix>[^\d]*)(?P<index>\d+)')
VARIANT_PRIM_PATH_PATTERN = re.compile('.*{(?P<variantSet>.+)=(?P<variant>.+)}$')
VIEW_FILL_COLOR = QtGui.QColor(38, 38, 38)
VIEW_LINE_COLOR = QtGui.QColor(55, 55, 55)
DISABLE_LINE_COLOR = QtGui.QColor(95, 75, 75)
VIEW_CENTER_LINE_COLOR = QtGui.QColor(80, 80, 60, 50)
VIEW_GRID_WIDTH = 200
VIEW_GRID_HEIGHT = 100
VIEW_ZOOM_STEP = 1.1
def isEditable(realPath):
if GraphState.hasFunction('isFileEditable') and realPath is not None:
editAble = GraphState.executeFunction('isFileEditable', realPath)
return editAble
return True
class FloatLineEdit(QtWidgets.QFrame):
editFinished = QtCore.Signal(str)
def __init__(self, *args, **kwargs):
super(FloatLineEdit, self).__init__(*args, **kwargs)
self.masterLayout = QtWidgets.QHBoxLayout()
self.setLayout(self.masterLayout)
self._edit = QtWidgets.QLineEdit()
self.masterLayout.addWidget(self._edit)
self.setFixedWidth(200)
self.setStyleSheet('QFrame{border-radius: 5px}')
self._edit.editingFinished.connect(self._editFinished)
self._edit.returnPressed.connect(self._returnPressed)
def _editFinished(self):
# self.editFinished.emit(self._edit.text())
self.setVisible(False)
def _returnPressed(self):
self.editFinished.emit(self._edit.text())
self.setVisible(False)
self.parent().setFocus()
self._edit.setFocus()
def reset(self):
allNodeClass = Node.getAllNodeClassNames()
completer = QtWidgets.QCompleter(allNodeClass)
completer.setCaseSensitivity(QtCore.Qt.CaseInsensitive)
self._edit.setCompleter(completer)
self._edit.setText('')
def setVisible(self, bool):
super(FloatLineEdit, self).setVisible(bool)
if bool:
self._edit.setFocus()
class FormatSwitchButton(QtWidgets.QPushButton):
def __init__(self):
super(FormatSwitchButton, self).__init__()
self._format = 'usd'
self._tempNodes = ''
self.setFixedSize(30, 30)
self.setIconSize(QtCore.QSize(25, 25))
self.setCursor(QtCore.Qt.PointingHandCursor)
self.setStyleSheet("""
QPushButton{
background: transparent;
border: none;
}
""")
self.updateIcon()
self.clicked.connect(self.switch)
def setFormat(self, format='usd'):
self._format = format
self.updateIcon()
def getFormat(self):
return self._format
def switch(self):
if self._format == 'usd':
self._format = 'ung'
elif self._format == 'ung':
self._format = 'usd'
self.updateIcon()
def updateIcon(self):
if self._format == 'usd':
icon = resource.get_qicon('icon', 'UsdLogo.png')
elif self._format == 'ung':
icon = resource.get_qicon('icon', 'UngLogo.png')
self.setIcon(icon)
def writeTempNodes(self, xmlString):
self._tempNodes = xmlString
def getTempNodes(self):
return self._tempNodes
class FloatWidget(QtWidgets.QWidget):
def __init__(self, *args, **kwargs):
super(FloatWidget, self).__init__(*args, **kwargs)
self.masterLayout = QtWidgets.QHBoxLayout()
self.setLayout(self.masterLayout)
self.switchButton = FormatSwitchButton()
self.masterLayout.addWidget(self.switchButton)
class GraphicsView(QtWidgets.QGraphicsView, DropWidget, WithMenuObject):
def __init__(self, *args, **kwargs):
super(GraphicsView, self).__init__(*args, **kwargs)
DropWidget.__init__(self)
self.setAcceptExts(['.abc', '.usd', '.usda', '.usdc'])
# self.addDropLabel()
self.currentZoom = 1.0
self.panningMult = 2.0 * self.currentZoom
self.panning = False
self.keyZooming = False
self.clickedPos = QtCore.QPoint(0, 0)
self.setHorizontalScrollBarPolicy(QtCore.Qt.ScrollBarAlwaysOff)
self.setVerticalScrollBarPolicy(QtCore.Qt.ScrollBarAlwaysOff)
self.setDragMode(QtWidgets.QGraphicsView.RubberBandDrag)
self.setTransformationAnchor(QtWidgets.QGraphicsView.AnchorUnderMouse)
if VIEWPORT_FULL_UPDATE == '0':
self.setViewportUpdateMode(QtWidgets.QGraphicsView.SmartViewportUpdate)
else:
self.setViewportUpdateMode(QtWidgets.QGraphicsView.FullViewportUpdate)
# self.setRenderHint(QtGui.QPainter.Antialiasing)
self._createNewFloatEdit = FloatLineEdit(self)
self._createNewFloatEdit.setVisible(False)
self._floatWidget = FloatWidget(self)
self._createNewFloatEdit.editFinished.connect(self._floatEditFinished)
self._floatWidget.switchButton.clicked.connect(self._formatSwitchClicked)
def dragEnterEvent(self, QDragEnterEvent):
DropWidget.dragEnterEvent(self, QDragEnterEvent)
def dragLeaveEvent(self, QDragLeaveEvent):
DropWidget.dragLeaveEvent(self, QDragLeaveEvent)
def dragMoveEvent(self, QDragMoveEvent):
DropWidget.dragMoveEvent(self, QDragMoveEvent)
def dropEvent(self, QDropEvent):
DropWidget.dropEvent(self, QDropEvent)
def afterFilesDrop(self, acceptFiles):
pos = None
for i in acceptFiles:
refNode = self.scene().createNode('Reference', pos=pos)
refNode.parameter('assetPath').setValue(i)
x = refNode.parameter('x').getValue()
y = refNode.parameter('y').getValue()
pos = [x + 200, y]
def _zoom(self, zoom):
self.scale(zoom, zoom)
self.currentZoom = self.transform().m11()
self._resizeScene()
def getCenterPos(self):
center = self.mapToScene(QtCore.QPoint(
self.viewport().width() / 2,
self.viewport().height() / 2
))
return center
def _resizeScene(self, setLabel=True):
center = self.getCenterPos()
w = self.viewport().width() / self.currentZoom * 2 + 25000
h = self.viewport().height() / self.currentZoom * 2 + 25000
self.scene().setSceneRect(QtCore.QRectF(
center.x() - w / 2,
center.y() - h / 2,
w,
h
))
self._setAntialiasing()
if setLabel:
self._setLabelVisible()
def _setAntialiasing(self):
antialiasing = True if self.currentZoom >= 0.1 else False
self.setRenderHint(QtGui.QPainter.Antialiasing, antialiasing)
def _setLabelVisible(self):
showPortLabel = True if self.currentZoom >= 1 else False
showNodeLabel = True if self.currentZoom >= 0.5 else False
point1 = self.mapToScene(QtCore.QPoint(-20, -20))
point2 = self.mapToScene(QtCore.QPoint(self.viewport().width(), self.viewport().height()))
rect = QtCore.QRectF(point1, point2)
for node in self.scene().allNodes():
node.setLabelVisible(showNodeLabel and rect.contains(node.pos()))
for port in node.ports:
port.setLabelVisible(showPortLabel and rect.contains(port.scenePos()))
def focusNextPrevChild(self, bool):
return False
def keyReleaseEvent(self, event):
super(GraphicsView, self).keyReleaseEvent(event)
if not self._createNewFloatEdit.isVisible():
if event.key() == QtCore.Qt.Key_F:
self.scene().frameSelection()
def fitTo(self, items=[]):
if len(items) == 0:
for item in self.scene().items():
if isinstance(item, NodeItem):
items.append(item)
max_x = items[0].pos().x()
min_x = items[0].pos().x()
max_y = items[0].pos().y()
min_y = items[0].pos().y()
for item in items:
max_x = max(item.pos().x(), max_x)
min_x = min(item.pos().x(), min_x)
max_y = max(item.pos().y(), max_y)
min_y = min(item.pos().y(), min_y)
center_x = (max_x + min_x) / 2 + 100
center_y = (max_y + min_y) / 2 + 40
width = max_x - min_x
height = max_y - min_y
zoom_x = 1 / max(1, float(width + 1000) / self.viewport().width()) / self.currentZoom
zoom_y = 1 / max(1, float(height + 1000) / self.viewport().height()) / self.currentZoom
zoom = min(zoom_x, zoom_y)
self.scale(zoom, zoom)
self.currentZoom = self.transform().m11()
self._resizeScene()
self.centerOn(QtCore.QPointF(center_x, center_y))
def mousePressEvent(self, event):
"""Initiate custom panning using middle mouse button."""
selectedItems = self.scene().selectedItems()
self.clickedPos = event.pos()
if self.panning:
if event.button() == QtCore.Qt.RightButton:
self.keyZooming = True
self.panning = False
self.setCursor(QtCore.Qt.ArrowCursor)
return
if event.button() == QtCore.Qt.MiddleButton:
self.setDragMode(QtWidgets.QGraphicsView.NoDrag)
self.panning = True
self.prevPos = event.pos()
self.prevCenter = self.getCenterPos()
self.setCursor(QtCore.Qt.SizeAllCursor)
elif event.button() == QtCore.Qt.LeftButton:
self.setDragMode(QtWidgets.QGraphicsView.RubberBandDrag)
super(GraphicsView, self).mousePressEvent(event)
if event.button() == QtCore.Qt.MiddleButton:
for item in selectedItems:
item.setSelected(True)
self._highlightConnection()
def mouseMoveEvent(self, event):
if self.keyZooming:
mouseMove = event.pos() - self.prevPos
mouseMoveY = mouseMove.y()
if mouseMoveY > 0: # zoom in
zoom = mouseMoveY * 0.01 + 1
self._zoom(zoom)
elif mouseMoveY < 0:
zoom = 1.0 / (-mouseMoveY * 0.01 + 1)
self._zoom(zoom)
self.prevPos = event.pos()
if self.panning:
mouseMove = event.pos() - self.prevPos
newCenter = QtCore.QPointF(
self.prevCenter.x() - mouseMove.x() / self.currentZoom,
self.prevCenter.y() - mouseMove.y() / self.currentZoom
)
self.centerOn(newCenter)
self._resizeScene(setLabel=False)
return
super(GraphicsView, self).mouseMoveEvent(event)
def mouseReleaseEvent(self, event):
if self.panning:
self.panning = False
self.setCursor(QtCore.Qt.ArrowCursor)
if self.keyZooming:
self.keyZooming = False
super(GraphicsView, self).mouseReleaseEvent(event)
self._highlightConnection()
self.clickedPos = event.pos()
self._resizeScene()
def wheelEvent(self, event):
positive = event.delta() >= 0
zoom = VIEW_ZOOM_STEP if positive else 1.0 / VIEW_ZOOM_STEP
self._zoom(zoom)
def drawForeground(self, painter, rect):
editAble = self.scene().editable
if not editAble:
self.drawDisableLines(painter, rect)
def drawDisableLines(self, painter, rect):
pen = QtGui.QPen(DISABLE_LINE_COLOR)
pen.setCosmetic(True)
pen.setWidth(1)
painter.setPen(pen)
lines = []
lw = 50
w = self.viewport().width()
h = self.viewport().height()
for i in range(int(w / lw)):
point1 = self.mapToScene(QtCore.QPoint(i * lw, 0))
point2 = self.mapToScene(QtCore.QPoint(0, i * lw))
lines.append(QtCore.QLineF(point1, point2))
for i in range(int(h / lw)):
point1 = self.mapToScene(QtCore.QPoint(w, i * lw))
point2 = self.mapToScene(QtCore.QPoint(w - (h - i * lw), h))
lines.append(QtCore.QLineF(point1, point2))
painter.drawLines(lines)
def drawBackground(self, painter, rect):
pen = QtGui.QPen(VIEW_LINE_COLOR)
pen.setCosmetic(True)
painter.setPen(pen)
painter.setBrush(QtGui.QBrush(VIEW_FILL_COLOR))
painter.drawRect(rect)
lines = []
scale = max(int(1 / self.currentZoom / 2), 1)
line_w = VIEW_GRID_WIDTH * scale
line_h = VIEW_GRID_HEIGHT * scale
point1 = self.mapToScene(QtCore.QPoint(0, 0))
point2 = self.mapToScene(QtCore.QPoint(self.viewport().width(), self.viewport().height()))
for i in range(int(point1.y() / line_h), int(point2.y() / line_h) + 1):
lines.append(QtCore.QLineF(
QtCore.QPoint(rect.x(), i * line_h),
QtCore.QPoint(rect.x() + rect.width(), i * line_h)
))
for i in range(int(point1.x() / line_w), int(point2.x() / line_w) + 1):
lines.append(QtCore.QLineF(
QtCore.QPoint(i * line_w, rect.y()),
QtCore.QPoint(i * line_w, rect.y() + rect.height())
))
painter.drawLines(lines)
painter.setPen(QtGui.QPen(VIEW_CENTER_LINE_COLOR))
painter.drawLine(QtCore.QLineF(QtCore.QPoint(rect.x(), 0), QtCore.QPoint(rect.x() + rect.width(), 0)))
painter.drawLine(QtCore.QLineF(QtCore.QPoint(0, rect.y()), QtCore.QPoint(0, rect.y() + rect.height())))
def _highlightConnection(self):
for item in self.scene().items():
if isinstance(item, Port):
for pipe in item.pipes:
pipe.setLineColor(highlight=False)
# if isinstance(item, NodeItem):
# item.setHighlight(False)
for item in self.scene().selectedItems():
if isinstance(item, NodeItem):
for port in item.ports:
for pipe in port.pipes:
pipe.setLineColor(highlight=True)
def showFloatEdit(self):
self._createNewFloatEdit.move(self.clickedPos)
self._createNewFloatEdit.reset()
self._createNewFloatEdit.setVisible(True)
def _floatEditFinished(self, text):
text = str(text)
scenePos = self.mapToScene(self.clickedPos)
node = self.scene().createNode(text, pos=[scenePos.x(), scenePos.y()])
def _formatSwitchClicked(self):
format = self._floatWidget.switchButton.getFormat()
if format == 'usd':
xmlString = self.scene().getAllNodesAsXml()
self._floatWidget.switchButton.writeTempNodes(xmlString)
self.scene().resetScene(forceFromLayer=True)
else:
xmlString = self._floatWidget.switchButton.getTempNodes()
self.scene().resetScene(forceFromLayer=False, xmlString=xmlString)
def _getContextMenus(self):
actions = []
groupDict = Node.getNodesByGroup()
groups = list(groupDict.keys())
groups.sort()
for group in groups:
nodeActions = []
nodes = groupDict[group]
for node in nodes:
nodeActions.append([node.nodeType, node.nodeType, None, self._nodeActionTriggered])
actions.append([group, nodeActions])
return actions
def _createContextMenu(self):
self.menu = QtWidgets.QMenu(self)
menus = []
scenePos = self.mapToScene(self.clickedPos)
item = self.scene().itemAt(scenePos, QtGui.QTransform())
if item is None:
menus = self._getContextMenus()
elif isinstance(item, NodeItem):
menus = item.getContextMenus()
elif isinstance(item.parentItem(), NodeItem):
menus = item.parentItem().getContextMenus()
self._addSubMenus(self.menu, menus)
def contextMenuEvent(self, event):
super(GraphicsView, self).contextMenuEvent(event)
if self.keyZooming:
return
self._createContextMenu()
self.menu.move(QtGui.QCursor().pos())
self.menu.show()
def _nodeActionTriggered(self):
nodeType = self.sender().objectName()
scenePos = self.mapToScene(self.clickedPos)
self.scene().createNode(nodeType, pos=[scenePos.x(), scenePos.y()])
class GraphicsSceneWidget(QtWidgets.QWidget):
itemDoubleClicked = QtCore.Signal(object)
showWidgetSignal = QtCore.Signal(int)
enterFileRequired = QtCore.Signal(str, str, bool)
enterLayerRequired = QtCore.Signal(object, object, str, bool)
def __init__(self, parent=None):
super(GraphicsSceneWidget, self).__init__(parent=parent)
self.stage = None
self.layer = None
self.assetPath = None
self._initUI()
# self.showWidgetSignal.connect(self.show_entity_widget, QtCore.Qt.QueuedConnection)
self.scene.enterFileRequired.connect(self._enterFileRequired)
self.scene.enterLayerRequired.connect(self._enterLayerRequired)
def _initUI(self):
self.view = GraphicsView()
self.scene = GraphicsScene(view=self.view, parent=self)
self.view.setScene(self.scene)
self.setGeometry(100, 100, 800, 600)
layout = QtWidgets.QVBoxLayout()
layout.addWidget(self.view)
self.setLayout(layout)
self.scene.setSceneRect(QtCore.QRectF(
-(self.view.viewport().width() / self.view.currentZoom * 2 + 25000) / 2,
-(self.view.viewport().height() / self.view.currentZoom * 2 + 25000) / 2,
self.view.viewport().width() / self.view.currentZoom * 2 + 25000,
self.view.viewport().height() / self.view.currentZoom * 2 + 25000
))
def _getAbsPath(self, path):
path = str(path)
resolver = Ar.GetResolver()
absLayerPath = resolver.AnchorRelativePath(self.layer.realPath, path)
return absLayerPath
def _enterFileRequired(self, usdFile, force=False):
# for Reference and Payload
absLayerPath = self._getAbsPath(usdFile)
self.enterFileRequired.emit(absLayerPath, usdFile, force)
def _enterLayerRequired(self, layerPath, force=False):
# for sublayer
absLayerPath = self._getAbsPath(layerPath)
layer = Sdf.Layer.FindOrOpen(absLayerPath)
self.enterLayerRequired.emit(self.stage, layer, layerPath, force)
def setStage(self, stage, layer=None, assetPath=None, reset=True):
self.stage = stage
if layer is None:
layer = stage.GetRootLayer()
self.layer = layer
self.assetPath = assetPath
self.scene.setStage(self.stage, self.layer, assetPath, reset=reset)
def exportToString(self):
return self.scene.exportToString()
def exportToFile(self):
self.scene.exportToFile()
def saveLayer(self):
self.scene.saveLayer()
def saveNodes(self):
self.scene.saveNodes()
def applyChanges(self):
self.scene.applyChanges()
class GraphicsScene(QtWidgets.QGraphicsScene):
enterFileRequired = QtCore.Signal(str, bool)
enterLayerRequired = QtCore.Signal(str, bool)
nodeParameterChanged = QtCore.Signal(object)
nodeDeleted = QtCore.Signal(object)
def __init__(self, view=None, **kwargs):
super(GraphicsScene, self).__init__(**kwargs)
self.view = view
self.stage = None
self.layer = None
self.assetPath = None
self.editable = True
self._allNodes = {}
self._nodesSuffix = {}
self._primNodes = {}
self.setSceneRect(QtCore.QRectF(-25000 / 2, -25000 / 2, 25000, 25000))
def _addLayerNodes(self, rootLayer):
for index, layerPath in enumerate(rootLayer.subLayerPaths):
layerOffset = rootLayer.subLayerOffsets[index]
layerNode = self.createNode('Layer', layerPath=layerPath, layerOffset=layerOffset)
layerNode.setX(-250)
layerNode.setY(index * 150)
def _addChildNode(self, node, upNode, index=0):
if upNode is not None:
node.setX(upNode.pos().x() + index * (upNode.w + 50))
node.setY(upNode.pos().y() + upNode.h + 100)
node.connectToNode(upNode)
def _getPrim(self, primSpec, upNode=None):
skipAttribute = False
primPath = primSpec.path.pathString
match = re.match(VARIANT_PRIM_PATH_PATTERN, primPath)
if match:
variantSwitchNode = self.createNode(
'VariantSwitch', primPath=primPath,
variantSetName=match.group('variantSet'),
variantSelected=match.group('variant')
)
self._addChildNode(variantSwitchNode, upNode)
upNode = variantSwitchNode
else:
# prim define
specifier = primSpec.specifier
if specifier == Sdf.SpecifierDef:
typeName = primSpec.typeName
if typeName in ['Material', 'Shader']:
primNode = self.createNode(
typeName, name=primSpec.name, primPath=primPath,
primSpec=primSpec
)
skipAttribute = True
elif typeName in Node.getAllNodeClassNames():
primNode = self.createNode(typeName, primPath=primPath, primSpec=primSpec)
else:
primNode = self.createNode('PrimDefine', primPath=primPath, primSpec=primSpec)
elif specifier == Sdf.SpecifierOver:
primNode = self.createNode('PrimOverride', primPath=primPath, primSpec=primSpec)
else:
return upNode
self._addChildNode(primNode, upNode)
self._addNodeToPrimPath(primNode, primPath)
upNode = primNode
# metadata
_tmpMetadataNodes = {}
_keys = [key for key in primSpec.ListInfoKeys() if key in MetadataNode.getIgnorePrimInfoKeys()]
for key in _keys:
nodeClass = MetadataNode.getMetadataNodeClass(key)
metadataNode = _tmpMetadataNodes.get(nodeClass.nodeType)
if metadataNode is None:
metadataNode = self.createNode(nodeClass.nodeType)
self._addChildNode(metadataNode, upNode)
_tmpMetadataNodes.update({nodeClass.nodeType: metadataNode})
metadataNode.parameter(key).setValueQuietly(primSpec.GetInfo(key))
upNode = metadataNode
# reference
referenceList = primSpec.referenceList
for op in LIST_EDITOR_PROXY_OPS:
items = getattr(referenceList, '{}Items'.format(op))
for reference in items:
referenceNode = self.createNode('Reference', primPath=primPath, reference=reference, op=op)
self._addChildNode(referenceNode, upNode)
upNode = referenceNode
# payload
payloadList = primSpec.payloadList
for op in LIST_EDITOR_PROXY_OPS:
items = getattr(payloadList, '{}Items'.format(op))
for payload in items:
payloadNode = self.createNode('Payload', primPath=primPath, reference=payload, op=op)
self._addChildNode(payloadNode, upNode)
upNode = payloadNode
# attribute
if not skipAttribute:
upNode = self._getPrimAttributes(primSpec, upNode)
# relationship
upNode = self._getPrimRelationships(primSpec, upNode)
# variant
selectedVariantDict = {}
variantSetNameList = primSpec.variantSetNameList
variantSetNameItems = variantSetNameList.GetAddedOrExplicitItems()
variantSelections = primSpec.variantSelections
if len(variantSetNameItems) > 0:
variantSets = primSpec.variantSets
for variantSetName, variantSetSpec in variantSets.items():
variantSetNode = self.createNode(
'VariantSet',
primPath=primPath,
variantSetName=variantSetSpec.name,
options=[v.name for v in variantSetSpec.variantList]
)
self._addChildNode(variantSetNode, upNode)
variantSelected = variantSelections.get(variantSetName)
variantSelectNode = self.createNode(
'VariantSelect', primPath=primPath,
variantSetName=variantSetName,
variantSelected=variantSelected,
options=[v.name for v in variantSetSpec.variantList]
)
self._addChildNode(variantSelectNode, variantSetNode)
selectedVariantDict.update({variantSetName: variantSelected})
variantList = variantSetSpec.variantList
for i, variantSpec in enumerate(variantList):
variantPrim = variantSpec.primSpec
self._getIntoPrim(variantPrim, upNode=variantSelectNode)
for variantSetName, variantSelected in variantSelections.items():
if not variantSetName in selectedVariantDict:
variantNameList = None
# try to get variant list
stagePrim = self.stage.GetPrimAtPath(primPath)
if stagePrim.IsValid():
variantSet = stagePrim.GetVariantSet(variantSetName)
variantNameList = variantSet.GetVariantNames()
variantSelectNode = self.createNode(
'VariantSelect', primPath=primPath,
variantSetName=variantSetName,
variantSelected=variantSelected,
options=variantNameList
)
self._addChildNode(variantSelectNode, upNode)
upNode = variantSelectNode
return upNode
def _getIntoPrim(self, primSpec, upNode):
primPath = primSpec.path.pathString
node = upNode
if primPath != '/':
node = self._getPrim(primSpec, upNode)
for childName, child in primSpec.nameChildren.items():
self._getIntoPrim(child, node)
def _getPrimAttributes(self, primSpec, upNode):
attrs = list(primSpec.attributes.keys())
if len(attrs) == 0:
return upNode
addTransform = TransformNode._checkIsNodeNeeded(attrs)
if addTransform:
transformNode = self.createNode('Transform', primPath=primSpec.path.pathString, primSpec=primSpec)
self._addChildNode(transformNode, upNode)
upNode = transformNode
addAttributeSet = AttributeSetNode._checkIsNodeNeeded(attrs)
if addAttributeSet:
attributeSetNode = self.createNode('AttributeSet', primPath=primSpec.path.pathString, primSpec=primSpec)
self._addChildNode(attributeSetNode, upNode)
upNode = attributeSetNode
return upNode
def _getPrimRelationships(self, primSpec, upNode):
attrs = list(primSpec.relationships.keys())
if len(attrs) == 0:
return upNode
addMaterialAssign = MaterialAssignNode._checkIsNodeNeeded(attrs)
if addMaterialAssign:
materialAssignNode = self.createNode('MaterialAssign', primPath=primSpec.path.pathString, primSpec=primSpec)
self._addChildNode(materialAssignNode, upNode)
upNode = materialAssignNode
addRelationshipSet = RelationshipSetNode._checkIsNodeNeeded(attrs)
if addRelationshipSet:
relationshipSetNode = self.createNode('RelationshipSet', primPath=primSpec.path.pathString, primSpec=primSpec)
self._addChildNode(relationshipSetNode, upNode)
upNode = relationshipSetNode
return upNode
def _connectShadeNodeInputs(self, node):
if not node.Class() in ['Shader', 'Material']:
return
for param in node.parameters():
node.nodeObject.connectShader(param)
def getPrimNode(self, primPath):
nodes = self._primNodes.get(primPath)
if nodes is not None:
return nodes[0]
def getRootNode(self):
nodes = self.getNodes(type='Root')
if len(nodes) == 0:
return
return nodes[0]
def _connectShadeNodes(self):
for node in self.getNodes(type=['Shader', 'Material']):
self._connectShadeNodeInputs(node)
def _layoutNode(self, node):
childrenCount = 0
for index, child in enumerate(node.getDestinations()):
child.setX(childrenCount * (node.w + 50) + node.pos().x())
currentChildCount = self._layoutNode(child)
if currentChildCount > 1:
childrenCount += currentChildCount
else:
childrenCount += 1
return childrenCount
def layoutNodes(self):
node = self.getRootNode()
self._layoutNode(node)
for node in self.allNodes():
node.updatePipe()
def _afterNodeNameChanged(self, node):
self._allNodes[node] = node.name()
def _getUniqueName(self, name):
# nodes = self.allNodes()
# names = [n.name() for n in nodes]
names = list(self._allNodes.values())
match = re.match(NODE_NAME_PATTERN, name)
if match:
suffix = match.group('suffix')
index = int(match.group('index'))
else:
suffix = name
index = 0
if name not in names:
return name, suffix, index
if suffix in self._nodesSuffix:
indexs = self._nodesSuffix.get(suffix)
indexs.sort(reverse=True)
else:
indexs = []
if len(indexs) > 0:
index = indexs[0]
while name in names:
index += 1
name = '{}{}'.format(suffix, index)
return name, suffix, index
def _executeLayerNodes(self, stage, nodes):
from functools import cmp_to_key
nodes.sort(key=cmp_to_key(self._node_cmp))
for node in nodes:
stage, _ = node.execute(stage, None)
return stage
def _node_cmp(self, n1, n2):
if n1.pos().y() > n2.pos().y():
return 1
if n1.pos().y() < n2.pos().y():
return -1
return 0
def _executeNode(self, node, stage, prim):
stage, prim = node.execute(stage, prim)
if node.Class() == 'VariantSwitch':
variantSet = node.nodeObject.getVariantSet(prim)
variantSelected = node.nodeObject.getVariantSelection()
currentSelected = variantSet.GetVariantSelection()
variantSet.SetVariantSelection(variantSelected)
with variantSet.GetVariantEditContext():
for child in node.getDestinations():
stage = self._executeNode(child, stage, prim)
variantSet.SetVariantSelection(currentSelected)
else:
for child in node.getDestinations():
stage = self._executeNode(child, stage, prim)
return stage
def _executeAllToStage(self):
stage = Usd.Stage.CreateInMemory()
prim = None
layerNodes = self.getNodes(type='Layer')
stage = self._executeLayerNodes(stage, layerNodes)
node = self.getRootNode()
stage = self._executeNode(node, stage, prim)
return stage
def setStage(self, stage, layer=None, assetPath=None, reset=True):
self.stage = stage
if layer is None:
layer = stage.GetRootLayer()
self.layer = layer
self.assetPath = assetPath
self.editable = isEditable(self.layer.realPath)
if reset:
ungFile = os.path.splitext(self.layer.realPath)[0] + '.ung'
if os.path.exists(ungFile):
self.loadSceneFromUng(ungFile)
else:
self.loadSceneFromLayer()
def reloadLayer(self):
self.resetScene()
def clear(self):
for node in self.allNodes():
self.deleteNode(node)
super(GraphicsScene, self).clear()
def _loadSceneFromUng(self, ungFile):
self.view._floatWidget.switchButton.setFormat('ung')
with open(ungFile, 'r') as f:
xmlString = f.read()
with GraphState.stopLiveUpdate():
self.pasteNodesFromXml(xmlString, selected=False)
# self.applyChanges()
def _loadSceneFromXml(self, xmlString):
self.view._floatWidget.switchButton.setFormat('ung')
with GraphState.stopLiveUpdate():
self.pasteNodesFromXml(xmlString, selected=False)
# self.applyChanges()
@log_cost_time
def resetScene(self, forceFromLayer=False, xmlString=''):
self._beforeResetScene()
ungFile = os.path.splitext(self.layer.realPath)[0] + '.ung'
if forceFromLayer:
self._loadSceneFromLayer()
elif xmlString != '':
self._loadSceneFromXml(xmlString)
elif os.path.exists(ungFile):
self._loadSceneFromUng(ungFile)
else:
self._loadSceneFromLayer()
self._afterResetScene()
def _beforeResetScene(self):
self.clear()
self._primNodes = {}
self._allNodes = {}
self._nodesSuffix = {}
def _afterResetScene(self):
self.view._resizeScene()
self.frameSelection()
logger.debug('scene nodeItem number: {}'.format(len(self.allNodes())))
def _loadSceneFromLayer(self):
with GraphState.stopLiveUpdate():
self.view._floatWidget.switchButton.setFormat('usd')
primSpec = self.layer.GetPrimAtPath('/')
rootNode = self.createNode('Root')
self._addNodeToPrimPath(rootNode, '/')
self._addLayerNodes(self.layer)
self._getIntoPrim(primSpec, rootNode)
# we need to connect shader nodes after all nodes are created
self._connectShadeNodes()
self.layoutNodes()
def createNode(self, nodeClass, name=None, primPath=None, pos=None, **kwargs):
# QCoreApplication.processEvents()
if nodeClass in Node.getAllNodeClassNames():
if name is None:
name = nodeClass
nodeName, suffix, index = self._getUniqueName(name)
nodeItem = NodeItem.createItem(
nodeClass,
stage=self.stage, layer=self.layer,
name=nodeName, primPath=primPath,
**kwargs
)
self.addItem(nodeItem)
nodeItem.afterAddToScene()
self._allNodes.update({nodeItem: nodeName})
if pos is None:
center = self.view.getCenterPos()
pos = [center.x(), center.y()]
nodeItem.setX(pos[0])
nodeItem.setY(pos[1])
if suffix in self._nodesSuffix:
self._nodesSuffix[suffix].append(index)
else:
self._nodesSuffix[suffix] = [index]
return nodeItem
def connectAsChild(self, node, parentNode):
self._addChildNode(node, parentNode)
def selectAll(self):
for node in self.allNodes():
node.setSelected(True)
def deleteSelection(self):
with GraphState.stopLiveUpdate():
self._deleteSelection()
self.liveUpdateRequired()
def _deleteSelection(self):
selectedPipes = []
selectedNodes = []
for item in self.selectedItems():
if isinstance(item, NodeItem):
selectedNodes.append(item)
elif isinstance(item, Pipe):
selectedPipes.append(item)
for pipe in selectedPipes:
pipe.breakConnection()
for node in selectedNodes:
self.deleteNode(node)
def deleteNode(self, node):
pipes = []
for port in node.ports:
for pipe in port.pipes:
if pipe not in pipes:
pipes.append(pipe)
for pipe in pipes:
pipe.breakConnection()
self.removeItem(node)
self._allNodes.pop(node)
self.nodeDeleted.emit(node)
def frameSelection(self):
self.view.fitTo(self.selectedItems())
def disableSelection(self):
for node in self.getSelectedNodes():
node.parameter('disable').setValue(1 - node.parameter('disable').getValue())
self.liveUpdateRequired()
def enterSelection(self, force=False):
for item in self.selectedItems():
if item.nodeObject.Class() == 'Layer':
self.enterLayerRequired.emit(item.parameter('layerPath').getValue(), force)
return
elif item.nodeObject.Class() in ['Reference', 'Payload']:
self.enterFileRequired.emit(item.parameter('assetPath').getValue(), force)
return
def forceEnterSelection(self):
self.enterSelection(force=True)
def updateSelectedNodesPipe(self):
pipes = []
for node in self.getSelectedNodes():
for port in node.ports:
for pipe in port.pipes:
if pipe not in pipes:
pipes.append(pipe)
for pipe in pipes:
pipe.updatePath()
def allNodes(self):
return list(self._allNodes.keys())
# nodes = [item for item in self.items() if isinstance(item, NodeItem)]
# return nodes
def getNode(self, nodeName):
nodes = self.allNodes()
for node in nodes:
if node.name() == nodeName:
return node
def getNodes(self, type=None):
nodes = self.allNodes()
if type is None:
return nodes
if not isinstance(type, (list, tuple)):
type = [type]
nodes = [n for n in nodes if n.nodeType in type]
return nodes
def getSelectedNodes(self):
return [n for n in self.selectedItems() if isinstance(n, NodeItem)]
def getNodesAsXml(self, nodes):
rootElement = ET.Element('usdnodegraph')
nodesDict = {}
if len(nodes) > 0:
firstNode = nodes[0]
minX = firstNode.parameter('x').getValue()
minY = firstNode.parameter('y').getValue()
for node in nodes:
nodeElement = node.toXmlElement()
rootElement.append(nodeElement)
minX = min(node.parameter('x').getValue(), minX)
minY = min(node.parameter('y').getValue(), minY)
rootElement.set('x', str(minX))
rootElement.set('y', str(minY))
nodesString = convertToString(rootElement)
return nodesString
return ''
def _exportNodesToFile(self, nodes, xmlfile):
nodesString = self.getNodesAsXml(nodes)
with open(xmlfile, 'w') as f:
f.write(nodesString)
def getSelectedNodesAsXml(self):
nodes = self.getSelectedNodes()
return self.getNodesAsXml(nodes)
def getAllNodesAsXml(self):
nodes = self.allNodes()
return self.getNodesAsXml(nodes)
def exportAllNodesToFile(self, xmlfile):
nodes = self.allNodes()
self._exportNodesToFile(nodes, xmlfile)
def exportSelectedNodesToFile(self, xmlfile):
nodes = self.getSelectedNodes()
self._exportNodesToFile(nodes, xmlfile)
def createParamFromXml(self, paramElement, node, offsetX=0, offsetY=0):
paramName = paramElement.get('n')
if paramName in ['name']:
return
custom = paramElement.get('cus', '0')
visible = paramElement.get('vis', '1')
parameterType = paramElement.get('t')
value = paramElement.get('val')
connect = paramElement.get('con')
samples = paramElement.findall('s')
metadatas = paramElement.findall('m')
hints = paramElement.findall('h')
timeSamples = {}
if node.hasParameter(paramName):
parameter = node.parameter(paramName)
else:
parameter = node.addParameter(paramName, parameterType, custom=custom)
if connect is not None:
parameter.setConnect(connect)
if len(samples) == 0:
value = parameter.convertValueFromPy(value)
if paramName == 'x':
value = offsetX + value
node.setX(value)
elif paramName == 'y':
value = offsetY + value
node.setY(value)
parameter.setValueQuietly(value)
else:
for sampleElement in samples:
time = float(sampleElement.get('t'))
value = sampleElement.get('v')
timeSamples[time] = parameter.convertValueFromPy(value)
parameter.setTimeSamplesQuietly(timeSamples)
for metadataElement in metadatas:
self.createMetadataFromXml(metadataElement, parameter)
for hintElement in hints:
self.createHintFromXml(hintElement, parameter)
def createMetadataFromXml(self, metadataElement, obj):
key = metadataElement.get('k')
value = metadataElement.get('v')
obj.setMetadata(key, value)
def createHintFromXml(self, hintElement, obj):
key = hintElement.get('k')
value = hintElement.get('v')
obj.setHint(key, value)
def createNodeFromXml(self, nodeElement, _newNodes, _nameConvertDict, offsetX=0, offsetY=0):
oldNodeName = nodeElement.get('n')
nodeClass = nodeElement.get('c')
node = self.createNode(nodeClass, name=oldNodeName)
newName = node.parameter('name').getValue()
_newNodes.append(node)
_nameConvertDict.update({oldNodeName: newName})
for paramElement in nodeElement.findall('p'):
self.createParamFromXml(paramElement, node, offsetX, offsetY)
for metadataElement in nodeElement.findall('m'):
self.createMetadataFromXml(metadataElement, node)
node.afterAddToScene()
def createConnectFromXml(self, nodeElement, _nameConvertDict):
oldNodeName = nodeElement.get('n')
newNode = self.getNode(_nameConvertDict.get(oldNodeName))
if newNode is None:
return
for outputElement in nodeElement.findall('o'):
outputName = outputElement.get('n')
sourceNodeName = outputElement.get('conN')
sourceNodeInputName = outputElement.get('conP')
sourceNode = self.getNode(_nameConvertDict.get(sourceNodeName))
if sourceNode is None:
sourceNode = self.getNode(sourceNodeName)
if sourceNode is None:
continue
sourceNode.connectSource(newNode, inputName=sourceNodeInputName, outputName=outputName)
for inputElement in nodeElement.findall('i'):
inputName = inputElement.get('n')
sourceNodeName = inputElement.get('conN')
sourceNodeOutputName = inputElement.get('conP')
sourceNode = self.getNode(_nameConvertDict.get(sourceNodeName))
if sourceNode is None:
sourceNode = self.getNode(sourceNodeName)
if sourceNode is None:
continue
newNode.connectSource(sourceNode, inputName=inputName, outputName=sourceNodeOutputName)
def createNodesFromXml(self, rootElement, offsetX=0, offsetY=0):
_nameConvertDict = {}
_newNodes = []
for nodeElement in rootElement.getchildren():
self.createNodeFromXml(
nodeElement, _newNodes, _nameConvertDict,
offsetX, offsetY
)
# connections
for nodeElement in rootElement.getchildren():
self.createConnectFromXml(nodeElement, _nameConvertDict)
return _newNodes
def pasteNodesFromXml(self, nodesString, selected=True):
rootElement = ET.fromstring(nodesString)
_topLeftX = float(rootElement.get('x'))
_topLeftY = float(rootElement.get('y'))
scenePos = self.view.mapToScene(self.view.clickedPos)
offsetX = scenePos.x() - _topLeftX
offsetY = scenePos.y() - _topLeftY
nodes = self.createNodesFromXml(rootElement, offsetX, offsetY)
if selected:
for node in nodes:
node.setSelected(True)
return nodes
def exportToString(self):
stage = self._executeAllToStage()
return stage.GetRootLayer().ExportToString()
def _exportToFile(self, exportFile):
if not self.editable:
QtWidgets.QMessageBox.warning(None, 'Warning', 'This layer can\'t be exported!')
return
stage = self._executeAllToStage()
print(exportFile)
stage.GetRootLayer().Export(exportFile)
def exportToFile(self):
# save to another file
usdFile = self.layer.realPath
exportFile = usdFile
exportExt = os.path.splitext(usdFile)[-1]
exportFile = usdFile.replace(exportExt, '_export' + exportExt)
self._exportToFile(exportFile)
def saveLayer(self):
usdFile = self.layer.realPath
self._exportToFile(usdFile)
def saveNodes(self):
usdFile = self.layer.realPath
xmlFile = os.path.splitext(usdFile)[0] + '.ung'
self.exportAllNodesToFile(xmlFile)
def applyChanges(self):
stage = self._executeAllToStage()
layerString = stage.GetRootLayer().ExportToString()
self.layer.ImportFromString(layerString)
GraphState.executeCallbacks(
'layerChangesApplied',
layer=self.layer.realPath
)
def liveUpdateRequired(self):
if GraphState.isLiveUpdate():
self.applyChanges()
def setAsEditTarget(self):
if self.stage is not None:
self.stage.SetEditTarget(self.layer)
def _addNodeToPrimPath(self, nodeItem, path):
if path not in self._primNodes:
self._primNodes[path] = []
self._primNodes[path].append(nodeItem)
def reSyncPath(self, node, parentPaths=None):
node.reSyncPath(parentPaths)
syncPaths = node.getPrimPath()
for syncPath in syncPaths:
self._addNodeToPrimPath(node.item, syncPath)
for n in [i.nodeObject for i in node.item.getDestinations()]:
self.reSyncPath(n, syncPaths)
def reSyncPaths(self):
self._primNodes = {}
self.reSyncPath(self.getRootNode().nodeObject)
def findNodeAtPath(self, path):
self.reSyncPaths()
find = False
findPath = path
findNodes = []
while not find:
for key, nodes in self._primNodes.items():
node = nodes[0]
sdfPath = Sdf.Path(key)
composedPath = sdfPath.StripAllVariantSelections()
# print key, composedPath
if composedPath == findPath:
findNodes.append(node)
find = True
if not find:
findPath = '/'.join(findPath.split('/')[:-1])
if findPath == '':
findPath = '/'
self.clearSelection()
primPath = findPath
if findPath != '/':
addPath = path.replace(findPath, '')
else:
addPath = path
addPrimNames = addPath.split('/')
for findNode in findNodes:
currentNode = findNode
for addPrimName in addPrimNames:
if addPrimName == '':
continue
primPath += '/' + addPrimName
node = self.createNode('PrimOverride')
node.parameter('primName').setValue(addPrimName)
self._addChildNode(node, currentNode)
self._addNodeToPrimPath(node, primPath)
currentNode = node
currentNode.setSelected(True)
self.layoutNodes()
self._layoutNode(findNode)
self.frameSelection()
selected = self.selectedItems()
return selected
| 48,807 | view | py | en | python | code | {"qsc_code_num_words": 4641, "qsc_code_num_chars": 48807.0, "qsc_code_mean_word_length": 6.31975867, "qsc_code_frac_words_unique": 0.1512605, "qsc_code_frac_chars_top_2grams": 0.00797818, "qsc_code_frac_chars_top_3grams": 0.00398909, "qsc_code_frac_chars_top_4grams": 0.00797818, "qsc_code_frac_chars_dupe_5grams": 0.20968292, "qsc_code_frac_chars_dupe_6grams": 0.14401637, "qsc_code_frac_chars_dupe_7grams": 0.11510399, "qsc_code_frac_chars_dupe_8grams": 0.10334129, "qsc_code_frac_chars_dupe_9grams": 0.09004432, "qsc_code_frac_chars_dupe_10grams": 0.07702012, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00792781, "qsc_code_frac_chars_whitespace": 0.28928228, "qsc_code_size_file_byte": 48807.0, "qsc_code_num_lines": 1398.0, "qsc_code_num_chars_line_max": 123.0, "qsc_code_num_chars_line_mean": 34.91201717, "qsc_code_frac_chars_alphabet": 0.83760955, "qsc_code_frac_chars_comments": 0.0163706, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.24379025, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.01782253, "qsc_code_frac_chars_long_word_length": 0.00191775, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.11223551, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.0174793, "qsc_codepython_frac_lines_simplefunc": 0.005519779208831647, "qsc_codepython_score_lines_no_logic": 0.18859246, "qsc_codepython_frac_lines_print": 0.00091996} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1xinghuan/usdNodeGraph | lib/python/usdNodeGraph/ui/parameter/register.py | from usdNodeGraph.core.parameter.basic import Parameter
from .param_widget import *
Parameter.registerParameter(StringParameter)
Parameter.registerParameter(ChooseParameter)
Parameter.registerParameter(TokenParameter)
Parameter.registerParameter(FilePathParameter)
Parameter.registerParameter(AssetParameter)
Parameter.registerParameter(TextParameter)
Parameter.registerParameter(BoolParameter)
Parameter.registerParameter(IntParameter)
Parameter.registerParameter(FloatParameter)
Parameter.registerParameter(DoubleParameter)
Parameter.registerParameter(Vec2fParameter)
Parameter.registerParameter(Vec3fParameter)
Parameter.registerParameter(Vec4fParameter)
Parameter.registerParameter(Vec2dParameter)
Parameter.registerParameter(Vec3dParameter)
Parameter.registerParameter(Vec4dParameter)
Parameter.registerParameter(Vec2hParameter)
Parameter.registerParameter(Vec3hParameter)
Parameter.registerParameter(Vec4hParameter)
Parameter.registerParameter(Color3fParameter)
Parameter.registerParameter(Color4fParameter)
Parameter.registerParameter(Point3fParameter)
Parameter.registerParameter(Normal3fParameter)
Parameter.registerParameter(Vector3fParameter)
Parameter.registerParameter(QuatdParameter)
Parameter.registerParameter(QuatfParameter)
Parameter.registerParameter(QuathParameter)
Parameter.registerParameter(Matrix2dParameter)
Parameter.registerParameter(Matrix3dParameter)
Parameter.registerParameter(Matrix4dParameter)
Parameter.registerParameter(TexCoord2fParameter)
Parameter.registerParameter(TexCoord2dParameter)
Parameter.registerParameter(TexCoord2hParameter)
Parameter.registerParameter(StringArrayParameter)
Parameter.registerParameter(TokenArrayParameter)
Parameter.registerParameter(IntArrayParameter)
Parameter.registerParameter(FloatArrayParameter)
Parameter.registerParameter(DoubleArrayParameter)
Parameter.registerParameter(Vec2fArrayParameter)
Parameter.registerParameter(Vec3fArrayParameter)
Parameter.registerParameter(Vec4fArrayParameter)
Parameter.registerParameter(Vec2dArrayParameter)
Parameter.registerParameter(Vec3dArrayParameter)
Parameter.registerParameter(Vec4dArrayParameter)
Parameter.registerParameter(Vec2hArrayParameter)
Parameter.registerParameter(Vec3hArrayParameter)
Parameter.registerParameter(Vec4hArrayParameter)
Parameter.registerParameter(Color3fArrayParameter)
Parameter.registerParameter(Point3fArrayParameter)
Parameter.registerParameter(Normal3fArrayParameter)
Parameter.registerParameter(QuatdArrayParameter)
Parameter.registerParameter(QuatfArrayParameter)
Parameter.registerParameter(QuathArrayParameter)
Parameter.registerParameter(Matrix2dArrayParameter)
Parameter.registerParameter(Matrix3dArrayParameter)
Parameter.registerParameter(Matrix4dArrayParameter)
Parameter.registerParameter(TexCoord2fArrayParameter)
Parameter.registerParameter(TexCoord2dArrayParameter)
Parameter.registerParameter(TexCoord2hArrayParameter)
Parameter.registerParameterWidget('string', StringParameterWidget)
Parameter.registerParameterWidget('choose', ChooseParameterWidget)
Parameter.registerParameterWidget('text', TextParameterWidget)
Parameter.registerParameterWidget('boolean', BoolParameterWidget)
Parameter.registerParameterWidget('integer', IntParameterWidget)
Parameter.registerParameterWidget('floating', FloatParameterWidget)
Parameter.registerParameterWidget('vec2f', Vec2fParameterWidget)
Parameter.registerParameterWidget('vec3f', Vec3fParameterWidget)
Parameter.registerParameterWidget('vec4f', Vec4fParameterWidget)
Parameter.registerParameterWidget('color', Color3fParameterWidget)
Parameter.registerParameterWidget('color3f', Color3fParameterWidget)
Parameter.registerParameterWidget('color4f', Color4fParameterWidget)
Parameter.registerParameterWidget('matrix2d', Matrix2dParameterWidget)
Parameter.registerParameterWidget('matrix3d', Matrix3dParameterWidget)
Parameter.registerParameterWidget('matrix4d', Matrix4dParameterWidget)
Parameter.registerParameterWidget('token[]', TokenArrayParameterWidget)
Parameter.registerParameterWidget('int[]', IntArrayParameterWidget)
Parameter.registerParameterWidget('float[]', FloatArrayParameterWidget)
Parameter.registerParameterWidget('vec2f[]', Vec2fArrayParameterWidget)
Parameter.registerParameterWidget('vec3f[]', Vec3fArrayParameterWidget)
Parameter.registerParameterWidget('vec4f[]', Vec4fArrayParameterWidget)
Parameter.registerParameterWidget('matrix2d[]', Matrix2dArrayParameterWidget)
Parameter.registerParameterWidget('matrix3d[]', Matrix3dArrayParameterWidget)
Parameter.registerParameterWidget('matrix4d[]', Matrix4dArrayParameterWidget)
| 4,568 | register | py | mr | python | code | {"qsc_code_num_words": 284, "qsc_code_num_chars": 4568.0, "qsc_code_mean_word_length": 14.40140845, "qsc_code_frac_words_unique": 0.38732394, "qsc_code_frac_chars_top_2grams": 0.37506112, "qsc_code_frac_chars_top_3grams": 0.01809291, "qsc_code_frac_chars_top_4grams": 0.0, "qsc_code_frac_chars_dupe_5grams": 0.0, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.0151071, "qsc_code_frac_chars_whitespace": 0.02911559, "qsc_code_size_file_byte": 4568.0, "qsc_code_num_lines": 103.0, "qsc_code_num_chars_line_max": 78.0, "qsc_code_num_chars_line_mean": 44.34951456, "qsc_code_frac_chars_alphabet": 0.90710259, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.03643547, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.0, "qsc_codepython_cate_var_zero": true, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.02352941, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.02352941, "qsc_codepython_frac_lines_print": 0.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 1, "qsc_code_frac_chars_top_2grams": 1, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 1, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1xinghuan/usdNodeGraph | lib/python/usdNodeGraph/ui/other/timeSlider.py | from usdNodeGraph.module.sqt import *
from usdNodeGraph.core.state.core import GraphState
class LineEdit(QtWidgets.QLineEdit):
def __init__(self, text=""):
super(LineEdit, self).__init__()
self.setFixedHeight(30)
self.setText(text)
self.setAlignment(QtCore.Qt.AlignHCenter)
class TimeSlider(QtWidgets.QSlider):
def __init__(self):
super(TimeSlider, self).__init__()
self.setOrientation(QtCore.Qt.Horizontal)
self._isHhover = False
self._isMoving = False
self.hoverValue = 1
self.setMouseTracking(True)
self.setMinimumHeight(50)
def paintEvent(self, QPaintEvent):
super(TimeSlider, self).paintEvent(QPaintEvent)
painter = QtGui.QPainter(self)
self._drawHover(painter)
def _getPosition(self, percent):
return percent * self.width() + 5 - 10 * percent
def _getPercent(self, value):
if self.maximum() > self.minimum():
return float(value - self.minimum()) / (self.maximum() - self.minimum())
else:
return 1.0
def _drawHover(self, painter):
if self._isHhover:
pen = QtGui.QPen(QtGui.QColor(220, 220, 220))
pen.setWidth(2)
painter.setPen(pen)
length = 10
percent = self._getPercent(self.hoverValue)
positionX = self._getPosition(percent)
y1 = (self.height() - length) / 2.0
y2 = (self.height() - length) / 2.0 + length
hoverline = QtCore.QLine(QtCore.QPoint(positionX, y1), QtCore.QPoint(positionX, y2))
painter.drawLine(hoverline)
text = str(self.hoverValue)
font = QtGui.QFont("Arial", 10)
fm = QtGui.QFontMetrics(font)
textWidth = fm.boundingRect(text).width()
painter.setFont(font)
textX = positionX - textWidth / 2.0
if textX + textWidth > self.width():
textX = self.width() - textWidth
if textX < 0:
textX = 0
painter.drawText(textX, y1 - 5, text)
def enterEvent(self, *args, **kwargs):
self._isHhover = True
def leaveEvent(self, *args, **kwargs):
self._isHhover = False
def mousePressEvent(self, QMouseEvent):
super(TimeSlider, self).mousePressEvent(QMouseEvent)
pos = QMouseEvent.pos().x() / float(self.width())
self.setValue(round(pos * (self.maximum() - self.minimum()) + self.minimum()))
self._isMoving = True
def mouseMoveEvent(self, QMouseEvent):
super(TimeSlider, self).mouseMoveEvent(QMouseEvent)
x = QMouseEvent.pos().x()
precent = float(x) / self.width()
self.hoverValue = int(round(self.minimum() + precent * (self.maximum() - self.minimum())))
self.update()
if self._isMoving:
self.setValue(self.hoverValue)
def mouseReleaseEvent(self, QMouseEvent):
super(TimeSlider, self).mouseReleaseEvent(QMouseEvent)
self._isMoving = False
class TimeSliderWidget(QtWidgets.QWidget):
def __init__(self):
super(TimeSliderWidget, self).__init__()
self._stage = None
self._initUI()
self.frameInEdit.editingFinished.connect(self._frameInEditChanged)
self.frameOutEdit.editingFinished.connect(self._frameOutEditChanged)
self.timeSlider.valueChanged.connect(self._timeSliderValueChanged)
def _initUI(self):
self.masterLayout = QtWidgets.QHBoxLayout()
self.masterLayout.setContentsMargins(10, 0, 10, 0)
self.setLayout(self.masterLayout)
self.frameInEdit = LineEdit()
self.frameInEdit.setMaximumWidth(50)
self.timeSlider = TimeSlider()
self.frameOutEdit = LineEdit()
self.frameOutEdit.setMaximumWidth(50)
self.masterLayout.addWidget(self.frameInEdit)
self.masterLayout.addWidget(self.timeSlider)
self.masterLayout.addWidget(self.frameOutEdit)
self.setMaximumHeight(70)
def _frameInEditChanged(self):
timeIn = float(self.frameInEdit.text())
self.timeSlider.setMinimum(timeIn)
GraphState.setTimeIn(timeIn, stage=self._stage)
def _frameOutEditChanged(self):
timeOut = float(self.frameOutEdit.text())
self.timeSlider.setMaximum(timeOut)
GraphState.setTimeOut(timeOut, stage=self._stage)
def setStage(self, stage):
self._stage = stage
if stage is not None:
self.setRange(GraphState.getTimeIn(stage), GraphState.getTimeOut(stage))
self.setCurrentTime(GraphState.getCurrentTime(stage))
def setRange(self, timeIn=0, timeOut=0):
self.frameInEdit.setText(str(timeIn))
self.frameOutEdit.setText(str(timeOut))
self.timeSlider.setMinimum(timeIn)
self.timeSlider.setMaximum(timeOut)
def setCurrentTime(self, time):
self.timeSlider.setValue(time)
def _timeSliderValueChanged(self):
GraphState.setCurrentTime(self.timeSlider.value(), stage=self._stage)
| 5,076 | timeSlider | py | en | python | code | {"qsc_code_num_words": 507, "qsc_code_num_chars": 5076.0, "qsc_code_mean_word_length": 6.29585799, "qsc_code_frac_words_unique": 0.26627219, "qsc_code_frac_chars_top_2grams": 0.03947368, "qsc_code_frac_chars_top_3grams": 0.0297619, "qsc_code_frac_chars_top_4grams": 0.02756892, "qsc_code_frac_chars_dupe_5grams": 0.07581454, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01363756, "qsc_code_frac_chars_whitespace": 0.24881797, "qsc_code_size_file_byte": 5076.0, "qsc_code_num_lines": 153.0, "qsc_code_num_chars_line_max": 99.0, "qsc_code_num_chars_line_mean": 33.17647059, "qsc_code_frac_chars_alphabet": 0.82349856, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0877193, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00098522, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.16666667, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.01754386, "qsc_codepython_frac_lines_simplefunc": 0.008771929824561403, "qsc_codepython_score_lines_no_logic": 0.23684211, "qsc_codepython_frac_lines_print": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1c-syntax/ssl_3_1 | src/cf/Reports/ПросроченныеЗадачи/Ext/ObjectModule.bsl | ///////////////////////////////////////////////////////////////////////////////////////////////////////
// Copyright (c) 2024, ООО 1С-Софт
// Все права защищены. Эта программа и сопроводительные материалы предоставляются
// в соответствии с условиями лицензии Attribution 4.0 International (CC BY 4.0)
// Текст лицензии доступен по ссылке:
// https://creativecommons.org/licenses/by/4.0/legalcode
///////////////////////////////////////////////////////////////////////////////////////////////////////
#Если Сервер Или ТолстыйКлиентОбычноеПриложение Или ВнешнееСоединение Тогда
#Область ОбработчикиСобытий
Процедура ПриКомпоновкеРезультата(ДокументРезультат, ДанныеРасшифровки, СтандартнаяОбработка)
ИспользоватьДатуИВремяВСрокахЗадач = ПолучитьФункциональнуюОпцию("ИспользоватьДатуИВремяВСрокахЗадач");
ФорматДаты = ?(ИспользоватьДатуИВремяВСрокахЗадач, "ДЛФ=DT", "ДЛФ=D");
СрокИсполнения = СхемаКомпоновкиДанных.НаборыДанных[0].Поля.Найти("СрокИсполнения");
СрокИсполнения.Оформление.УстановитьЗначениеПараметра("Формат", ФорматДаты);
ДатаИсполнения = СхемаКомпоновкиДанных.НаборыДанных[0].Поля.Найти("ДатаИсполнения");
ДатаИсполнения.Оформление.УстановитьЗначениеПараметра("Формат", ФорматДаты);
КонецПроцедуры
#КонецОбласти
#Иначе
ВызватьИсключение НСтр("ru = 'Недопустимый вызов объекта на клиенте.'");
#КонецЕсли | 1,338 | ObjectModule | bsl | ru | 1c enterprise | code | {"qsc_code_num_words": 101, "qsc_code_num_chars": 1338.0, "qsc_code_mean_word_length": 9.18811881, "qsc_code_frac_words_unique": 0.75247525, "qsc_code_frac_chars_top_2grams": 0.00646552, "qsc_code_frac_chars_top_3grams": 0.00862069, "qsc_code_frac_chars_top_4grams": 0.08189655, "qsc_code_frac_chars_dupe_5grams": 0.09267241, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01050081, "qsc_code_frac_chars_whitespace": 0.07473842, "qsc_code_size_file_byte": 1338.0, "qsc_code_num_lines": 30.0, "qsc_code_num_chars_line_max": 105.0, "qsc_code_num_chars_line_mean": 44.6, "qsc_code_frac_chars_alphabet": 0.73828756, "qsc_code_frac_chars_comments": 0.92152466, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 1, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1yefuwang1/vectorlite | README.md | 
# Overview
Vectorlite is a [Runtime-loadable extension](https://www.sqlite.org/loadext.html) for SQLite that enables fast vector search based on [hnswlib](https://github.com/nmslib/hnswlib) and works on Windows, MacOS and Linux. It provides fast vector search capabilities with a SQL interface and runs on every language with a SQLite driver.
For motivation and background of this project, please check [here](https://dev.to/yefuwang/introducing-vectorlite-a-fast-and-tunable-vector-search-extension-for-sqlite-4dcl).
Below is an example of using it in sqlite CLI shell:
```sql
-- Load vectorlite
.load path/to/vectorlite.[so|dll|dylib]
-- shows vectorlite version and build info.
select vectorlite_info();
-- Calculate vector l2(squared) distance
select vector_distance(vector_from_json('[1,2,3]'), vector_from_json('[3,4,5]'), 'l2');
-- Create a virtual table named my_table with one vector column my_embedding with dimention of 3
create virtual table my_table using vectorlite(my_embedding float32[3], hnsw(max_elements=100));
-- Insert vectors into my_table. rowid can be used to relate to a vector's metadata stored elsewhere, e.g. another table.
insert into my_table(rowid, my_embedding) values (0, vector_from_json('[1,2,3]'));
insert into my_table(rowid, my_embedding) values (1, vector_from_json('[2,3,4]'));
insert into my_table(rowid, my_embedding) values (2, vector_from_json('[7,7,7]'));
-- Find 2 approximate nearest neighbors of vector [3,4,5] with distances
select rowid, distance from my_table where knn_search(my_embedding, knn_param(vector_from_json('[3,4,5]'), 2));
-- Find the nearest neighbor of vector [3,4,5] among vectors with rowid 0 and 1. (requires sqlite_version>=3.38)
-- It is called metadata filter in vectorlite, because you could get rowid set beforehand based on vectors' metadata and then perform vector search.
-- Metadata filter is pushed down to the underlying index when traversing the HNSW graph.
select rowid, distance from my_table where knn_search(my_embedding, knn_param(vector_from_json('[3,4,5]'), 1)) and rowid in (0, 1) ;
```
Currently, vectorlite is pre-compiled for Windows-x64, Linux-x64, MacOS-x64, MacOS-arm64 and distributed as python wheels and npm packages. It can be installed simply by:
```shell
# For python
pip install vectorlite-py
# for nodejs
npm i vectorlite
```
For other languages, `vectorlite.[so|dll|dylib]` can be extracted from the wheel for your platform, given that a *.whl file is actually a zip archive.
Vectorlite is currently in beta. There could be breaking changes.
## Highlights
1. Fast ANN(approximate nearest neighbors) search backed by [hnswlib](https://github.com/nmslib/hnswlib). Vector query is significantly faster than similar projects like [sqlite-vec](https://github.com/asg017/sqlite-vec) and [sqlite-vss](https://github.com/asg017/sqlite-vss). Please see benchmark [below](https://github.com/1yefuwang1/vectorlite?tab=readme-ov-file#benchmark).
2. Works on Windows, Linux and MacOS(x64 and ARM).
3. A fast and portable SIMD accelerated vector distance implementation using Google's [highway](https://github.com/google/highway) library. On my PC(i5-12600KF with AVX2 support), vectorlite's implementation is 1.5x-3x faster than hnswlib's when dealing vectors with dimension >= 256.
4. Supports all vector distance types provided by hnswlib: l2(squared l2), cosine, ip(inner product. I do not recomend you to use it though). For more info please check [hnswlib's doc](https://github.com/nmslib/hnswlib/tree/v0.8.0?tab=readme-ov-file#supported-distances).
3. Full control over [HNSW parameters](https://github.com/nmslib/hnswlib/blob/v0.8.0/ALGO_PARAMS.md) for performance tuning. Please check [this example](https://github.com/1yefuwang1/vectorlite/blob/main/examples/hnsw_param.py).
4. Predicate pushdown support for vector metadata(rowid) filter (requires sqlite version >= 3.38). Please check [this example](https://github.com/1yefuwang1/vectorlite/blob/main/examples/metadata_filter.py);
5. Index serde support. A vectorlite table can be saved to a file, and be reloaded from it. Index files created by hnswlib can also be loaded by vectorlite. Please check [this example](https://github.com/1yefuwang1/vectorlite/blob/main/examples/index_serde.py);
6. Vector json serde support using `vector_from_json()` and `vector_to_json()`.
## API reference
Vectorlite provides the following APIs.
Please note vectorlite is currently in beta. There could be breaking changes.
### Free-standing Application Defined SQL functions
The following functions can be used in any context.
``` sql
vectorlite_info() -- prints version info and some compile time info. e.g. Is SSE, AVX enabled.
vector_from_json(json_string) -- converts a json array of type TEXT into BLOB(a c-style float32 array)
vector_to_json(vector_blob) -- converts a vector of type BLOB(c-style float32 array) into a json array of type TEXT
vector_distance(vector_blob1, vector_blob2, distance_type_str) -- calculate vector distance between two vectors, distance_type_str could be 'l2', 'cosine', 'ip'
```
In fact, one can easily implement brute force searching using `vector_distance`, which returns 100% accurate search results:
```sql
-- use a normal sqlite table
create table my_table(rowid integer primary key, embedding blob);
-- insert
insert into my_table(rowid, embedding) values (0, {your_embedding});
-- search for 10 nearest neighbors using l2 squared distance
select rowid from my_table order by vector_distance({query_vector}, embedding, 'l2') asc limit 10
```
### Virtual Table
The core of vectorlite is the [virtual table](https://www.sqlite.org/vtab.html) module, which is used to hold vector index and way faster than brute force approach at the cost of not being 100% accurate.
A vectorlite table can be created using:
```sql
-- Required fields: table_name, vector_name, dimension, max_elements
-- Optional fields:
-- 1. distance_type: defaults to l2
-- 2. ef_construction: defaults to 200
-- 3. M: defaults to 16
-- 4. random_seed: defaults to 100
-- 5. allow_replace_deleted: defaults to true
-- 6. index_file_path: no default value. If not provided, the table will be memory-only. If provided, vectorlite will try to load index from the file and save to it when db connection is closed.
create virtual table {table_name} using vectorlite({vector_name} float32[{dimension}] {distance_type}, hnsw(max_elements={max_elements}, {ef_construction=200}, {M=16}, {random_seed=100}, {allow_replace_deleted=true}), {index_file_path});
```
You can insert, update and delete a vectorlite table as if it's a normal sqlite table.
```sql
-- rowid is required during insertion, because rowid is used to connect the vector to its metadata stored elsewhere. Auto-generating rowid doesn't makes sense.
insert into my_vectorlite_table(rowid, vector_name) values ({your_rowid}, {vector_blob});
-- Note: update and delete statements that uses rowid filter require sqlite3_version >= 3.38 to run.
update my_vectorlite_table set vector_name = {new_vector_blob} where rowid = {your_rowid};
delete from my_vectorlite_table where rowid = {your_rowid};
```
The following functions should be only used when querying a vectorlite table
```sql
-- returns knn_parameter that will be passed to knn_search().
-- vector_blob: vector to search
-- k: how many nearest neighbors to search for
-- ef: optional. A HNSW parameter that controls speed-accuracy trade-off. Defaults to 10 at first. If set to another value x, it will remain x if not specified again in another query within a single db connection.
knn_param(vector_blob, k, ef)
-- Should only be used in the `where clause` in a `select` statement to tell vectorlite to speed up the query using HNSW index
-- vector_name should match the vectorlite table's definition
-- knn_parameter is usually constructed using knn_param()
knn_search(vector_name, knn_parameter)
-- An example of vector search query. `distance` is an implicit column of a vectorlite table.
select rowid, distance from my_vectorlite_table where knn_search(vector_name, knn_param({vector_blob}, {k}))
-- An example of vector search query with pushed-down metadata(rowid) filter, requires sqlite_version >= 3.38 to run.
select rowid, distance from my_vectorlite_table where knn_search(vector_name, knn_param({vector_blob}, {k})) and rowid in (1,2,3,4,5)
```
## Benchmark
Please note only small datasets(with 3000 or 20000 vectors) are used because it would be unfair to benchmark against [sqlite-vec](https://github.com/asg017/sqlite-vec) using larger datasets. Sqlite-vec only uses brute-force, which doesn't scale with large datasets, while vectorlite uses ANN(approximate nearest neighbors), which scales to large datasets at the cost of not being 100% accurate.
How the benchmark is done:
1. Insert 3000/20000 randomly-generated vectors of dimension 128,512,1536 and 3000 into a vectorlite table with HNSW parameters ef_construction=100, M=30.
2. Randomly generate 100 vectors and then query the table with them for 10 nearest neighbors with ef=10,50,100 to see how ef impacts recall rate.
3. Calculate recall rate by comparing the result with the neighbors calculated using brute force.
4. vectorlite_scalar_brute_force(which is just inserting vectors into a normal sqlite table and do `select rowid from my_table order by vector_distance(query_vector, embedding, 'l2') limit 10`) is benchmarked as the baseline to see how much hnsw speeds up vector query.
5. [hnswlib](https://github.com/nmslib/hnswlib) is also benchmarked to see how much cost SQLite adds to vectorlite.
The benchmark is run in WSL on my PC with a i5-12600KF intel CPU and 16G RAM.
TL;DR:
1. Vectorlite's vector query is 3x-100x faster than [sqlite-vec](https://github.com/asg017/sqlite-vec) at the cost of lower recall rate. The difference gets larger when the dataset size grows, which is expected because sqlite-vec only supports brute force.
2. Surprisingly, vectorlite_scalar_brute_force's vector query is about 1.5x faster for vectors with dimension >= 512 but slower than sqlite-vec for 128d vectors. vectorlite_scalar_brute_force's vector insertion is 3x-8x faster than sqlite-vec.
3. Compared with [hnswlib](https://github.com/nmslib/hnswlib), vectorlite provides almost identical recall rate. Vector query speed with L2 distance is on par with 128d vectors and is 1.5x faster when dealing with 3000d vectors. Mainly because vectorlite's vector distance implementation is faster. But vectorlite's vector insertion is about 4x-5x slower, which I guess is the cost added by SQLite.
4. Compared with brute force baseline(vectorlite_scalar_brute_force), vectorlite's knn query is 8x-80x faster.
The benchmark code can be found in [benchmark folder](https://github.com/1yefuwang1/vectorlite/tree/main/benchmark), which can be used as an example of how to improve recall rate for your scenario by tuning HNSW parameters.
### 3000 vectors
When dealing with 3000 vectors(which is a fairly small dataset):
1. Compared with [sqlite-vec](https://github.com/asg017/sqlite-vec), vectorlite's vector query can be 3x-15x faster with 128-d vectors, 6x-26x faster with 512-d vectors, 7x-30x faster with 1536-d vectors and 6x-24x faster with 3000-d vectors. But vectorlite's vector insertion is 6x-16x slower, which is expected because sqlite-vec uses brute force only and doesn't do much indexing.
2. Compared with vectorlite_scalar_brute_force, hnsw provides about 10x-40x speed up.
3. Compared with [hnswlib](https://github.com/nmslib/hnswlib), vectorlite provides almost identical recall rate. Vector query speed is on par with 128d vectors and is 1.5x faster when dealing with 3000d vectors. Mainly because vectorlite's vector distance implementation is faster. But vector insertion is about 4x-5x slower.
4. vectorlite_scalar_brute_force's vector insertion 4x-7x is faster than [sqlite-vec](https://github.com/asg017/sqlite-vec), and vector query is about 1.7x faster when dealing with vectors of dimension >= 512.
<details>
<summary>Check raw data</summary>
```
Using local vectorlite: ../build/release/vectorlite/vectorlite.so
Benchmarking using 3000 randomly vectors. 100 10-nearest neighbor queries will be performed on each case.
┏━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━┳━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━┓
┃ distance ┃ vector ┃ ef ┃ ┃ ef ┃ insert_time ┃ search_time ┃ recall ┃
┃ type ┃ dimension ┃ construction ┃ M ┃ search ┃ per vector ┃ per query ┃ rate ┃
┡━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━╇━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━┩
│ l2 │ 128 │ 100 │ 30 │ 10 │ 62.41 us │ 12.96 us │ 56.40% │
│ l2 │ 128 │ 100 │ 30 │ 50 │ 62.41 us │ 42.95 us │ 93.30% │
│ l2 │ 128 │ 100 │ 30 │ 100 │ 62.41 us │ 62.06 us │ 99.40% │
│ l2 │ 512 │ 100 │ 30 │ 10 │ 146.40 us │ 38.05 us │ 46.60% │
│ l2 │ 512 │ 100 │ 30 │ 50 │ 146.40 us │ 95.96 us │ 86.50% │
│ l2 │ 512 │ 100 │ 30 │ 100 │ 146.40 us │ 148.46 us │ 96.70% │
│ l2 │ 1536 │ 100 │ 30 │ 10 │ 463.56 us │ 124.51 us │ 38.10% │
│ l2 │ 1536 │ 100 │ 30 │ 50 │ 463.56 us │ 355.70 us │ 78.50% │
│ l2 │ 1536 │ 100 │ 30 │ 100 │ 463.56 us │ 547.84 us │ 92.70% │
│ l2 │ 3000 │ 100 │ 30 │ 10 │ 1323.25 us │ 391.57 us │ 36.60% │
│ l2 │ 3000 │ 100 │ 30 │ 50 │ 1323.25 us │ 1041.37 us │ 78.60% │
│ l2 │ 3000 │ 100 │ 30 │ 100 │ 1323.25 us │ 1443.10 us │ 93.10% │
│ cosine │ 128 │ 100 │ 30 │ 10 │ 59.75 us │ 15.27 us │ 58.30% │
│ cosine │ 128 │ 100 │ 30 │ 50 │ 59.75 us │ 36.72 us │ 94.60% │
│ cosine │ 128 │ 100 │ 30 │ 100 │ 59.75 us │ 63.67 us │ 99.30% │
│ cosine │ 512 │ 100 │ 30 │ 10 │ 148.19 us │ 36.98 us │ 51.00% │
│ cosine │ 512 │ 100 │ 30 │ 50 │ 148.19 us │ 102.46 us │ 88.10% │
│ cosine │ 512 │ 100 │ 30 │ 100 │ 148.19 us │ 143.41 us │ 96.90% │
│ cosine │ 1536 │ 100 │ 30 │ 10 │ 427.21 us │ 106.94 us │ 42.10% │
│ cosine │ 1536 │ 100 │ 30 │ 50 │ 427.21 us │ 285.50 us │ 83.30% │
│ cosine │ 1536 │ 100 │ 30 │ 100 │ 427.21 us │ 441.66 us │ 95.60% │
│ cosine │ 3000 │ 100 │ 30 │ 10 │ 970.17 us │ 289.00 us │ 42.20% │
│ cosine │ 3000 │ 100 │ 30 │ 50 │ 970.17 us │ 848.03 us │ 83.90% │
│ cosine │ 3000 │ 100 │ 30 │ 100 │ 970.17 us │ 1250.29 us │ 95.60% │
└──────────┴───────────┴──────────────┴────┴────────┴─────────────┴─────────────┴────────┘
Bencharmk hnswlib as comparison.
┏━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━┳━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━┓
┃ distance ┃ vector ┃ ef ┃ ┃ ef ┃ insert_time ┃ search_time ┃ recall ┃
┃ type ┃ dimension ┃ construction ┃ M ┃ search ┃ per vector ┃ per query ┃ rate ┃
┡━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━╇━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━┩
│ l2 │ 128 │ 100 │ 30 │ 10 │ 12.84 us │ 12.83 us │ 56.90% │
│ l2 │ 128 │ 100 │ 30 │ 50 │ 12.84 us │ 41.93 us │ 93.60% │
│ l2 │ 128 │ 100 │ 30 │ 100 │ 12.84 us │ 65.84 us │ 99.40% │
│ l2 │ 512 │ 100 │ 30 │ 10 │ 29.34 us │ 47.37 us │ 47.00% │
│ l2 │ 512 │ 100 │ 30 │ 50 │ 29.34 us │ 126.29 us │ 86.40% │
│ l2 │ 512 │ 100 │ 30 │ 100 │ 29.34 us │ 198.30 us │ 96.80% │
│ l2 │ 1536 │ 100 │ 30 │ 10 │ 90.05 us │ 149.35 us │ 37.20% │
│ l2 │ 1536 │ 100 │ 30 │ 50 │ 90.05 us │ 431.53 us │ 78.00% │
│ l2 │ 1536 │ 100 │ 30 │ 100 │ 90.05 us │ 765.03 us │ 92.50% │
│ l2 │ 3000 │ 100 │ 30 │ 10 │ 388.87 us │ 708.98 us │ 36.30% │
│ l2 │ 3000 │ 100 │ 30 │ 50 │ 388.87 us │ 1666.87 us │ 78.90% │
│ l2 │ 3000 │ 100 │ 30 │ 100 │ 388.87 us │ 2489.98 us │ 93.40% │
│ cosine │ 128 │ 100 │ 30 │ 10 │ 10.90 us │ 11.14 us │ 58.10% │
│ cosine │ 128 │ 100 │ 30 │ 50 │ 10.90 us │ 37.39 us │ 94.30% │
│ cosine │ 128 │ 100 │ 30 │ 100 │ 10.90 us │ 62.45 us │ 99.40% │
│ cosine │ 512 │ 100 │ 30 │ 10 │ 25.46 us │ 38.92 us │ 50.70% │
│ cosine │ 512 │ 100 │ 30 │ 50 │ 25.46 us │ 109.84 us │ 87.90% │
│ cosine │ 512 │ 100 │ 30 │ 100 │ 25.46 us │ 151.00 us │ 97.10% │
│ cosine │ 1536 │ 100 │ 30 │ 10 │ 77.53 us │ 119.48 us │ 42.00% │
│ cosine │ 1536 │ 100 │ 30 │ 50 │ 77.53 us │ 340.78 us │ 84.00% │
│ cosine │ 1536 │ 100 │ 30 │ 100 │ 77.53 us │ 510.02 us │ 95.50% │
│ cosine │ 3000 │ 100 │ 30 │ 10 │ 234.79 us │ 453.12 us │ 43.20% │
│ cosine │ 3000 │ 100 │ 30 │ 50 │ 234.79 us │ 1380.79 us │ 83.80% │
│ cosine │ 3000 │ 100 │ 30 │ 100 │ 234.79 us │ 1520.92 us │ 95.70% │
└──────────┴───────────┴──────────────┴────┴────────┴─────────────┴─────────────┴────────┘
Bencharmk vectorlite brute force(select rowid from my_table order by vector_distance(query_vector, embedding, 'l2')) as comparison.
┏━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓
┃ distance ┃ vector ┃ insert_time ┃ search_time ┃ recall ┃
┃ type ┃ dimension ┃ per vector ┃ per query ┃ rate ┃
┡━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩
│ l2 │ 128 │ 2.38 us │ 299.14 us │ 100.00% │
│ l2 │ 512 │ 3.69 us │ 571.19 us │ 100.00% │
│ l2 │ 1536 │ 4.86 us │ 2237.64 us │ 100.00% │
│ l2 │ 3000 │ 7.69 us │ 5135.63 us │ 100.00% │
└──────────┴───────────┴─────────────┴─────────────┴─────────┘
Bencharmk sqlite_vss as comparison.
┏━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓
┃ distance ┃ vector ┃ insert_time ┃ search_time ┃ recall ┃
┃ type ┃ dimension ┃ per vector ┃ per query ┃ rate ┃
┡━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩
│ l2 │ 128 │ 395.24 us │ 2508.52 us │ 99.90% │
│ l2 │ 512 │ 2824.89 us │ 1530.77 us │ 100.00% │
│ l2 │ 1536 │ 8931.72 us │ 1602.36 us │ 100.00% │
│ l2 │ 3000 │ 17498.60 us │ 3142.38 us │ 100.00% │
└──────────┴───────────┴─────────────┴─────────────┴─────────┘
Bencharmk sqlite_vec as comparison.
┏━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓
┃ distance ┃ vector ┃ insert_time ┃ search_time ┃ recall ┃
┃ type ┃ dimension ┃ per vector ┃ per query ┃ rate ┃
┡━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩
│ l2 │ 128 │ 10.21 us │ 202.05 us │ 100.00% │
│ l2 │ 512 │ 14.43 us │ 989.64 us │ 100.00% │
│ l2 │ 1536 │ 31.68 us │ 3856.08 us │ 100.00% │
│ l2 │ 3000 │ 59.94 us │ 9503.91 us │ 100.00% │
└──────────┴───────────┴─────────────┴─────────────┴─────────┘
```
</details>
### 20000 vectors
When dealing with 20000 vectors,
1. Compared with [sqlite-vec](https://github.com/asg017/sqlite-vec), vectorlite's vector query can be 8x-100x faster depending on vector dimension.
2. Compared with vectorlite_scalar_brute_force, hnsw provides about 8x-80x speed up with reduced recall rate at 13.8%-85% depending on vector dimension.
3. Compared with hnswlib, vectorlite provides almost identical recall rate. Vector query is on par with 128d vectors and can be 1.5x faster with 3000d vectors. But vector insertion is 3x-9x slower.
4. vectorlite_scalar_brute_force's vector insertion is 4x-8x faster than sqlite-vec. sqlite-vec's vector query is 1.5x faster with 128d vectors and 1.8x slower when vector dimension>=512.
Please note:
1. sqlite-vss is not benchmarked with 20000 vectors because its index creation takes so long that it doesn't finish in hours.
2. sqlite-vec's vector query is benchmarked and included in the raw data, but not plotted in the figure because it's search time is disproportionally long.
<details>
<summary>Check raw data</summary>
```
Using local vectorlite: ../build/release/vectorlite/vectorlite.so
Benchmarking using 20000 randomly vectors. 100 10-neariest neighbor queries will be performed on each case.
┏━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━┳━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━┓
┃ distance ┃ vector ┃ ef ┃ ┃ ef ┃ insert_time ┃ search_time ┃ recall ┃
┃ type ┃ dimension ┃ construction ┃ M ┃ search ┃ per vector ┃ per query ┃ rate ┃
┡━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━╇━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━┩
│ l2 │ 128 │ 100 │ 30 │ 10 │ 187.41 us │ 46.58 us │ 29.10% │
│ l2 │ 128 │ 100 │ 30 │ 50 │ 187.41 us │ 95.16 us │ 70.20% │
│ l2 │ 128 │ 100 │ 30 │ 100 │ 187.41 us │ 179.51 us │ 85.70% │
│ l2 │ 512 │ 100 │ 30 │ 10 │ 820.80 us │ 105.80 us │ 18.10% │
│ l2 │ 512 │ 100 │ 30 │ 50 │ 820.80 us │ 361.83 us │ 50.40% │
│ l2 │ 512 │ 100 │ 30 │ 100 │ 820.80 us │ 628.88 us │ 67.00% │
│ l2 │ 1536 │ 100 │ 30 │ 10 │ 2665.31 us │ 292.39 us │ 13.70% │
│ l2 │ 1536 │ 100 │ 30 │ 50 │ 2665.31 us │ 1069.47 us │ 42.40% │
│ l2 │ 1536 │ 100 │ 30 │ 100 │ 2665.31 us │ 1744.79 us │ 59.50% │
│ l2 │ 3000 │ 100 │ 30 │ 10 │ 5236.76 us │ 558.56 us │ 13.80% │
│ l2 │ 3000 │ 100 │ 30 │ 50 │ 5236.76 us │ 1787.83 us │ 39.30% │
│ l2 │ 3000 │ 100 │ 30 │ 100 │ 5236.76 us │ 3039.94 us │ 56.60% │
│ cosine │ 128 │ 100 │ 30 │ 10 │ 164.31 us │ 25.35 us │ 34.70% │
│ cosine │ 128 │ 100 │ 30 │ 50 │ 164.31 us │ 78.33 us │ 71.20% │
│ cosine │ 128 │ 100 │ 30 │ 100 │ 164.31 us │ 133.75 us │ 87.60% │
│ cosine │ 512 │ 100 │ 30 │ 10 │ 711.35 us │ 100.90 us │ 19.00% │
│ cosine │ 512 │ 100 │ 30 │ 50 │ 711.35 us │ 406.08 us │ 51.10% │
│ cosine │ 512 │ 100 │ 30 │ 100 │ 711.35 us │ 582.51 us │ 71.50% │
│ cosine │ 1536 │ 100 │ 30 │ 10 │ 2263.96 us │ 283.88 us │ 22.60% │
│ cosine │ 1536 │ 100 │ 30 │ 50 │ 2263.96 us │ 919.98 us │ 54.50% │
│ cosine │ 1536 │ 100 │ 30 │ 100 │ 2263.96 us │ 1674.77 us │ 72.40% │
│ cosine │ 3000 │ 100 │ 30 │ 10 │ 4541.09 us │ 566.31 us │ 19.80% │
│ cosine │ 3000 │ 100 │ 30 │ 50 │ 4541.09 us │ 1672.82 us │ 49.30% │
│ cosine │ 3000 │ 100 │ 30 │ 100 │ 4541.09 us │ 2855.43 us │ 65.40% │
└──────────┴───────────┴──────────────┴────┴────────┴─────────────┴─────────────┴────────┘
Bencharmk hnswlib as comparison.
┏━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━┳━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━┓
┃ distance ┃ vector ┃ ef ┃ ┃ ef ┃ insert_time ┃ search_time ┃ recall ┃
┃ type ┃ dimension ┃ construction ┃ M ┃ search ┃ per vector ┃ per query ┃ rate ┃
┡━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━╇━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━┩
│ l2 │ 128 │ 100 │ 30 │ 10 │ 23.06 us │ 39.96 us │ 29.60% │
│ l2 │ 128 │ 100 │ 30 │ 50 │ 23.06 us │ 75.02 us │ 69.80% │
│ l2 │ 128 │ 100 │ 30 │ 100 │ 23.06 us │ 160.01 us │ 85.40% │
│ l2 │ 512 │ 100 │ 30 │ 10 │ 146.58 us │ 167.31 us │ 18.10% │
│ l2 │ 512 │ 100 │ 30 │ 50 │ 146.58 us │ 392.12 us │ 50.80% │
│ l2 │ 512 │ 100 │ 30 │ 100 │ 146.58 us │ 781.50 us │ 67.20% │
│ l2 │ 1536 │ 100 │ 30 │ 10 │ 657.41 us │ 298.71 us │ 12.70% │
│ l2 │ 1536 │ 100 │ 30 │ 50 │ 657.41 us │ 1031.61 us │ 40.60% │
│ l2 │ 1536 │ 100 │ 30 │ 100 │ 657.41 us │ 1764.34 us │ 57.90% │
│ l2 │ 3000 │ 100 │ 30 │ 10 │ 1842.77 us │ 852.88 us │ 13.80% │
│ l2 │ 3000 │ 100 │ 30 │ 50 │ 1842.77 us │ 2905.57 us │ 39.60% │
│ l2 │ 3000 │ 100 │ 30 │ 100 │ 1842.77 us │ 4936.35 us │ 56.50% │
│ cosine │ 128 │ 100 │ 30 │ 10 │ 19.25 us │ 23.27 us │ 34.20% │
│ cosine │ 128 │ 100 │ 30 │ 50 │ 19.25 us │ 72.66 us │ 71.40% │
│ cosine │ 128 │ 100 │ 30 │ 100 │ 19.25 us │ 134.11 us │ 87.60% │
│ cosine │ 512 │ 100 │ 30 │ 10 │ 112.80 us │ 106.90 us │ 22.70% │
│ cosine │ 512 │ 100 │ 30 │ 50 │ 112.80 us │ 341.23 us │ 54.20% │
│ cosine │ 512 │ 100 │ 30 │ 100 │ 112.80 us │ 609.93 us │ 72.40% │
│ cosine │ 1536 │ 100 │ 30 │ 10 │ 615.04 us │ 268.00 us │ 22.50% │
│ cosine │ 1536 │ 100 │ 30 │ 50 │ 615.04 us │ 898.82 us │ 54.00% │
│ cosine │ 1536 │ 100 │ 30 │ 100 │ 615.04 us │ 1557.51 us │ 71.90% │
│ cosine │ 3000 │ 100 │ 30 │ 10 │ 1425.49 us │ 546.18 us │ 20.60% │
│ cosine │ 3000 │ 100 │ 30 │ 50 │ 1425.49 us │ 2008.53 us │ 49.20% │
│ cosine │ 3000 │ 100 │ 30 │ 100 │ 1425.49 us │ 3106.51 us │ 65.00% │
└──────────┴───────────┴──────────────┴────┴────────┴─────────────┴─────────────┴────────┘
Bencharmk vectorlite brute force(select rowid from my_table order by vector_distance(query_vector, embedding, 'l2')) as comparison.
┏━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓
┃ distance ┃ vector ┃ insert_time ┃ search_time ┃ recall ┃
┃ type ┃ dimension ┃ per vector ┃ per query ┃ rate ┃
┡━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩
│ l2 │ 128 │ 0.93 us │ 2039.69 us │ 100.00% │
│ l2 │ 512 │ 2.73 us │ 7177.23 us │ 100.00% │
│ l2 │ 1536 │ 4.64 us │ 17163.25 us │ 100.00% │
│ l2 │ 3000 │ 6.62 us │ 25378.79 us │ 100.00% │
└──────────┴───────────┴─────────────┴─────────────┴─────────┘
Bencharmk sqlite_vec as comparison.
┏━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓
┃ distance ┃ vector ┃ insert_time ┃ search_time ┃ recall ┃
┃ type ┃ dimension ┃ per vector ┃ per query ┃ rate ┃
┡━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩
│ l2 │ 128 │ 3.49 us │ 1560.17 us │ 100.00% │
│ l2 │ 512 │ 6.73 us │ 7778.39 us │ 100.00% │
│ l2 │ 1536 │ 17.13 us │ 26344.76 us │ 100.00% │
│ l2 │ 3000 │ 35.30 us │ 60652.58 us │ 100.00% │
└──────────┴───────────┴─────────────┴─────────────┴─────────┘
```
</details>
# Quick Start
The quickest way to get started is to install vectorlite using python.
```shell
# Note: vectorlite-py not vectorlite. vectorlite is another project.
pip install vectorlite-py apsw numpy
```
Vectorlite's metadata filter feature requires sqlite>=3.38. Python's builtin `sqlite` module is usually built with old sqlite versions. So `apsw` is used here as sqlite driver, because it provides bindings to latest sqlite. Vectorlite still works with old sqlite versions if metadata filter support is not required.
Below is a minimal example of using vectorlite. It can also be found in the examples folder.
```python
import vectorlite_py
import apsw
import numpy as np
"""
Quick start of using vectorlite extension.
"""
conn = apsw.Connection(':memory:')
conn.enable_load_extension(True) # enable extension loading
conn.load_extension(vectorlite_py.vectorlite_path()) # load vectorlite
cursor = conn.cursor()
# check if vectorlite is loaded
print(cursor.execute('select vectorlite_info()').fetchall())
# Vector distance calculation
for distance_type in ['l2', 'cosine', 'ip']:
v1 = "[1, 2, 3]"
v2 = "[4, 5, 6]"
# Note vector_from_json can be used to convert a JSON string to a vector
distance = cursor.execute(f'select vector_distance(vector_from_json(?), vector_from_json(?), "{distance_type}")', (v1, v2)).fetchone()
print(f'{distance_type} distance between {v1} and {v2} is {distance[0]}')
# generate some test data
DIM = 32 # dimension of the vectors
NUM_ELEMENTS = 10000 # number of vectors
data = np.float32(np.random.random((NUM_ELEMENTS, DIM))) # Only float32 vectors are supported by vectorlite for now
# Create a virtual table using vectorlite using l2 distance (default distance type) and default HNSW parameters
cursor.execute(f'create virtual table my_table using vectorlite(my_embedding float32[{DIM}], hnsw(max_elements={NUM_ELEMENTS}))')
# Vector distance type can be explicitly set to cosine using:
# cursor.execute(f'create virtual table my_table using vectorlite(my_embedding float32[{DIM}] cosine, hnsw(max_elements={NUM_ELEMENTS}))')
# Insert the test data into the virtual table. Note that the rowid MUST be explicitly set when inserting vectors and cannot be auto-generated.
# The rowid is used to uniquely identify a vector and serve as a "foreign key" to relate to the vector's metadata.
# Vectorlite takes vectors in raw bytes, so a numpy vector need to be converted to bytes before inserting into the table.
cursor.executemany('insert into my_table(rowid, my_embedding) values (?, ?)', [(i, data[i].tobytes()) for i in range(NUM_ELEMENTS)])
# Query the virtual table to get the vector at rowid 12345. Note the vector needs to be converted back to json using vector_to_json() to be human-readable.
result = cursor.execute('select vector_to_json(my_embedding) from my_table where rowid = 1234').fetchone()
print(f'vector at rowid 1234: {result[0]}')
# Find 10 approximate nearest neighbors of data[0] and there distances from data[0].
# knn_search() is used to tell vectorlite to do a vector search.
# knn_param(V, K, ef) is used to pass the query vector V, the number of nearest neighbors K to find and an optional ef parameter to tune the performance of the search.
# If ef is not specified, ef defaults to 10. For more info on ef, please check https://github.com/nmslib/hnswlib/blob/v0.8.0/ALGO_PARAMS.md
result = cursor.execute('select rowid, distance from my_table where knn_search(my_embedding, knn_param(?, 10))', [data[0].tobytes()]).fetchall()
print(f'10 nearest neighbors of row 0 is {result}')
# Find 10 approximate nearest neighbors of the first embedding in vectors with rowid within [1000, 2000) using metadata(rowid) filtering.
rowids = ','.join([str(rowid) for rowid in range(1000, 2000)])
result = cursor.execute(f'select rowid, distance from my_table where knn_search(my_embedding, knn_param(?, 10)) and rowid in ({rowids})', [data[0].tobytes()]).fetchall()
print(f'10 nearest neighbors of row 0 in vectors with rowid within [1000, 2000) is {result}')
conn.close()
```
More examples can be found in examples and bindings/python/vectorlite_py/test folder.
# Build Instructions
If you want to contribute or compile vectorlite for your own platform, you can follow following instructions to build it.
## Prerequisites
1. CMake >= 3.22
2. Ninja
3. A C++ compiler in PATH that supports c++17
4. Python3
## Build
### Build sqlite extension only
```shell
git clone --recurse-submodules git@github.com:1yefuwang1/vectorlite.git
python3 bootstrap_vcpkg.py
# install dependencies for running python tests
python3 -m pip install -r requirements-dev.txt
sh build.sh # for debug build
sh build_release.sh # for release build
```
`vecorlite.[so|dll|dylib]` can be found in `build/release/vectorlite` or `build/dev/vectorlite` folder
### Build wheel
```shell
python3 -m build -w
```
vectorlite_py wheel can be found in `dist` folder
# Roadmap
- [x] SIMD support for ARM platform
- [ ] Support user defined metadata/rowid filter
- [ ] Support Multi-vector document search and epsilon search
- [ ] Support multi-threaded search
- [ ] Release vectorlite to more package managers.
- [ ] Support more vector types, e.g. float16, int8.
# Known limitations
1. On a single query, a knn_search vector constraint can only be paired with at most one rowid constraint and vice versa.
For example, The following queries will fail:
```sql
select rowid from my_table where rowid in (1,2,3) and rowid in (2, 3, 4) # multiple rowid constraints
select rowid, distance from my_table where knn_search(my_embedding, knn_param(vector_from_json('[1,2,3]'), 10)) and rowid in (1,2,3) and rowid in (3, 4) # multiple rowid constraints
select rowid, distance from my_table where knn_search(my_embedding, knn_param(vector_from_json('[1,2,3]'), 10)) and knn_search(my_embedding, knn_param(vector_from_json('[1,2,3]'), 10)) # multiple vector constraints
```
However, multiple constrains can be combined with `or`, because the query will search the underlying hnsw index multiple times. The results will be conbined by sqlite.
The following queries will work.
```sql
select rowid from my_table where rowid in (1,2,3) or rowid in (2, 3, 4)
select rowid, distance from my_table where knn_search(my_embedding, knn_param(vector_from_json('[1,2,3]'), 10)) and rowid in (1,2,3) or rowid in (3, 4)
select rowid, distance from my_table where knn_search(my_embedding, knn_param(vector_from_json('[1,2,3]'), 10)) or knn_search(my_embedding, knn_param(vector_from_json('[1,2,3]'), 10))
```
2. Only float32 vectors are supported for now.
3. ~~SIMD is only enabled on x86 platforms. Because the default implementation in hnswlib doesn't support SIMD on ARM. Vectorlite is 3x-4x slower on MacOS-ARM than MacOS-x64. I plan to improve it in the future.~~
4. rowid in sqlite3 is of type int64_t and can be negative. However, rowid in a vectorlite table should be in this range `[0, min(max value of size_t, max value of int64_t)]`. The reason is rowid is used as `labeltype` in hnsw index, which has type `size_t`(usually 32-bit or 64-bit depending on the platform).
5. Transaction is not supported.
6. Metadata filter(rowid filter) requires sqlite3 >= 3.38. Python's built-in `sqlite` module is usually built with old versions. Please use a newer sqlite binding such as `apsw` if you want to use metadata filter. knn_search() without rowid fitler still works for old sqlite3.
7. The vector index is held in memory.
8. Deleting a row only marks the vector as deleted and doesn't free the memory. The vector will not be included in later queries. However, if another vector is inserted with the same rowid, the memory will be reused.
9. A vectorlite table can only have one vector column.
# Acknowledgement
This project is greatly inspired by following projects
- [sqlite-vss](https://github.com/asg017/sqlite-vss)
- [hnsqlite](https://github.com/jiggy-ai/hnsqlite)
- [ChromaDB](https://github.com/chroma-core/chroma) | 35,822 | README | md | en | markdown | text | {"qsc_doc_frac_chars_curly_bracket": 0.00189827, "qsc_doc_frac_words_redpajama_stop": 0.16224299, "qsc_doc_num_sentences": 666.0, "qsc_doc_num_words": 6378, "qsc_doc_num_chars": 35822.0, "qsc_doc_num_lines": 493.0, "qsc_doc_mean_word_length": 3.87096268, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with_readmore": 0.0, "qsc_doc_frac_lines_start_with_bullet": 0.0, "qsc_doc_frac_words_unique": 0.13671997, "qsc_doc_entropy_unigram": 5.24163905, "qsc_doc_frac_words_all_caps": 0.00934579, "qsc_doc_frac_lines_dupe_lines": 0.20601852, "qsc_doc_frac_chars_dupe_lines": 0.11647212, "qsc_doc_frac_chars_top_2grams": 0.02819069, "qsc_doc_frac_chars_top_3grams": 0.02592248, "qsc_doc_frac_chars_top_4grams": 0.0272186, "qsc_doc_frac_chars_dupe_5grams": 0.49264855, "qsc_doc_frac_chars_dupe_6grams": 0.43541658, "qsc_doc_frac_chars_dupe_7grams": 0.41172182, "qsc_doc_frac_chars_dupe_8grams": 0.39669488, "qsc_doc_frac_chars_dupe_9grams": 0.37239256, "qsc_doc_frac_chars_dupe_10grams": 0.36400826, "qsc_doc_frac_chars_replacement_symbols": 0.0, "qsc_doc_cate_code_related_file_name": 1.0, "qsc_doc_num_chars_sentence_length_mean": 29.7757732, "qsc_doc_frac_chars_hyperlink_html_tag": 0.05038803, "qsc_doc_frac_chars_alphabet": 0.65990088, "qsc_doc_frac_chars_digital": 0.12586546, "qsc_doc_frac_chars_whitespace": 0.23393445, "qsc_doc_frac_chars_hex_words": 0.0} | 1 | {"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_8grams": 0, "qsc_doc_frac_chars_dupe_9grams": 0, "qsc_doc_frac_chars_dupe_10grams": 0, "qsc_doc_frac_chars_dupe_lines": 0, "qsc_doc_frac_lines_dupe_lines": 0, "qsc_doc_frac_lines_end_with_readmore": 0, "qsc_doc_frac_lines_start_with_bullet": 0, "qsc_doc_frac_words_all_caps": 0, "qsc_doc_mean_word_length": 0, "qsc_doc_num_chars": 0, "qsc_doc_num_lines": 0, "qsc_doc_num_sentences": 0, "qsc_doc_num_words": 0, "qsc_doc_frac_chars_hex_words": 0, "qsc_doc_frac_chars_hyperlink_html_tag": 0, "qsc_doc_frac_chars_alphabet": 0, "qsc_doc_frac_chars_digital": 0, "qsc_doc_frac_chars_whitespace": 0} |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/js/jquery.tmpl.js | /*!
* jQuery Templates Plugin 1.0.0pre
* http://github.com/jquery/jquery-tmpl
* Requires jQuery 1.4.2
*
* Copyright 2011, Software Freedom Conservancy, Inc.
* Dual licensed under the MIT or GPL Version 2 licenses.
* http://jquery.org/license
*/
(function( factory ) {
if (typeof define === 'function' && define.amd) {
// Loading from AMD script loader. Register as an anonymous module.
define( ['jquery'], factory );
} else {
// Browser using plain <script> tag
factory( jQuery );
}
}(function( jQuery ){
var oldManip = jQuery.fn.domManip, tmplItmAtt = "_tmplitem", htmlExpr = /^[^<]*(<[\w\W]+>)[^>]*$|\{\{\! /,
newTmplItems = {}, wrappedItems = {}, appendToTmplItems, topTmplItem = { key: 0, data: {} }, itemKey = 0, cloneIndex = 0, stack = [];
function newTmplItem( options, parentItem, fn, data ) {
// Returns a template item data structure for a new rendered instance of a template (a 'template item').
// The content field is a hierarchical array of strings and nested items (to be
// removed and replaced by nodes field of dom elements, once inserted in DOM).
var newItem = {
data: data || (data === 0 || data === false) ? data : (parentItem ? parentItem.data : {}),
_wrap: parentItem ? parentItem._wrap : null,
tmpl: null,
parent: parentItem || null,
nodes: [],
calls: tiCalls,
nest: tiNest,
wrap: tiWrap,
html: tiHtml,
update: tiUpdate
};
if ( options ) {
jQuery.extend( newItem, options, { nodes: [], parent: parentItem });
}
if ( fn ) {
// Build the hierarchical content to be used during insertion into DOM
newItem.tmpl = fn;
newItem._ctnt = newItem._ctnt || newItem.tmpl( jQuery, newItem );
newItem.key = ++itemKey;
// Keep track of new template item, until it is stored as jQuery Data on DOM element
(stack.length ? wrappedItems : newTmplItems)[itemKey] = newItem;
}
return newItem;
}
// Override appendTo etc., in order to provide support for targeting multiple elements. (This code would disappear if integrated in jquery core).
jQuery.each({
appendTo: "append",
prependTo: "prepend",
insertBefore: "before",
insertAfter: "after",
replaceAll: "replaceWith"
}, function( name, original ) {
jQuery.fn[ name ] = function( selector ) {
var ret = [], insert = jQuery( selector ), elems, i, l, tmplItems,
parent = this.length === 1 && this[0].parentNode;
appendToTmplItems = newTmplItems || {};
if ( parent && parent.nodeType === 11 && parent.childNodes.length === 1 && insert.length === 1 ) {
insert[ original ]( this[0] );
ret = this;
} else {
for ( i = 0, l = insert.length; i < l; i++ ) {
cloneIndex = i;
elems = (i > 0 ? this.clone(true) : this).get();
jQuery( insert[i] )[ original ]( elems );
ret = ret.concat( elems );
}
cloneIndex = 0;
ret = this.pushStack( ret, name, insert.selector );
}
tmplItems = appendToTmplItems;
appendToTmplItems = null;
jQuery.tmpl.complete( tmplItems );
return ret;
};
});
jQuery.fn.extend({
// Use first wrapped element as template markup.
// Return wrapped set of template items, obtained by rendering template against data.
tmpl: function( data, options, parentItem ) {
return jQuery.tmpl( this[0], data, options, parentItem );
},
// Find which rendered template item the first wrapped DOM element belongs to
tmplItem: function() {
return jQuery.tmplItem( this[0] );
},
// Consider the first wrapped element as a template declaration, and get the compiled template or store it as a named template.
template: function( name ) {
return jQuery.template( name, this[0] );
},
domManip: function( args, table, callback, options ) {
if ( args[0] && jQuery.isArray( args[0] )) {
var dmArgs = jQuery.makeArray( arguments ), elems = args[0], elemsLength = elems.length, i = 0, tmplItem;
while ( i < elemsLength && !(tmplItem = jQuery.data( elems[i++], "tmplItem" ))) {}
if ( tmplItem && cloneIndex ) {
dmArgs[2] = function( fragClone ) {
// Handler called by oldManip when rendered template has been inserted into DOM.
jQuery.tmpl.afterManip( this, fragClone, callback );
};
}
oldManip.apply( this, dmArgs );
} else {
oldManip.apply( this, arguments );
}
cloneIndex = 0;
if ( !appendToTmplItems ) {
jQuery.tmpl.complete( newTmplItems );
}
return this;
}
});
jQuery.extend({
// Return wrapped set of template items, obtained by rendering template against data.
tmpl: function( tmpl, data, options, parentItem ) {
var ret, topLevel = !parentItem;
if ( topLevel ) {
// This is a top-level tmpl call (not from a nested template using {{tmpl}})
parentItem = topTmplItem;
tmpl = jQuery.template[tmpl] || jQuery.template( null, tmpl );
wrappedItems = {}; // Any wrapped items will be rebuilt, since this is top level
} else if ( !tmpl ) {
// The template item is already associated with DOM - this is a refresh.
// Re-evaluate rendered template for the parentItem
tmpl = parentItem.tmpl;
newTmplItems[parentItem.key] = parentItem;
parentItem.nodes = [];
if ( parentItem.wrapped ) {
updateWrapped( parentItem, parentItem.wrapped );
}
// Rebuild, without creating a new template item
return jQuery( build( parentItem, null, parentItem.tmpl( jQuery, parentItem ) ));
}
if ( !tmpl ) {
return []; // Could throw...
}
if ( typeof data === "function" ) {
data = data.call( parentItem || {} );
}
if ( options && options.wrapped ) {
updateWrapped( options, options.wrapped );
}
ret = jQuery.isArray( data ) ?
jQuery.map( data, function( dataItem ) {
return dataItem ? newTmplItem( options, parentItem, tmpl, dataItem ) : null;
}) :
[ newTmplItem( options, parentItem, tmpl, data ) ];
return topLevel ? jQuery( build( parentItem, null, ret ) ) : ret;
},
// Return rendered template item for an element.
tmplItem: function( elem ) {
var tmplItem;
if ( elem instanceof jQuery ) {
elem = elem[0];
}
while ( elem && elem.nodeType === 1 && !(tmplItem = jQuery.data( elem, "tmplItem" )) && (elem = elem.parentNode) ) {}
return tmplItem || topTmplItem;
},
// Set:
// Use $.template( name, tmpl ) to cache a named template,
// where tmpl is a template string, a script element or a jQuery instance wrapping a script element, etc.
// Use $( "selector" ).template( name ) to provide access by name to a script block template declaration.
// Get:
// Use $.template( name ) to access a cached template.
// Also $( selectorToScriptBlock ).template(), or $.template( null, templateString )
// will return the compiled template, without adding a name reference.
// If templateString includes at least one HTML tag, $.template( templateString ) is equivalent
// to $.template( null, templateString )
template: function( name, tmpl ) {
if (tmpl) {
// Compile template and associate with name
if ( typeof tmpl === "string" ) {
// This is an HTML string being passed directly in.
tmpl = buildTmplFn( tmpl );
} else if ( tmpl instanceof jQuery ) {
tmpl = tmpl[0] || {};
}
if ( tmpl.nodeType ) {
// If this is a template block, use cached copy, or generate tmpl function and cache.
tmpl = jQuery.data( tmpl, "tmpl" ) || jQuery.data( tmpl, "tmpl", buildTmplFn( tmpl.innerHTML ));
// Issue: In IE, if the container element is not a script block, the innerHTML will remove quotes from attribute values whenever the value does not include white space.
// This means that foo="${x}" will not work if the value of x includes white space: foo="${x}" -> foo=value of x.
// To correct this, include space in tag: foo="${ x }" -> foo="value of x"
}
return typeof name === "string" ? (jQuery.template[name] = tmpl) : tmpl;
}
// Return named compiled template
return name ? (typeof name !== "string" ? jQuery.template( null, name ):
(jQuery.template[name] ||
// If not in map, and not containing at least on HTML tag, treat as a selector.
// (If integrated with core, use quickExpr.exec)
jQuery.template( null, htmlExpr.test( name ) ? name : jQuery( name )))) : null;
},
encode: function( text ) {
// Do HTML encoding replacing < > & and ' and " by corresponding entities.
return ("" + text).split("<").join("<").split(">").join(">").split('"').join(""").split("'").join("'");
}
});
jQuery.extend( jQuery.tmpl, {
tag: {
"tmpl": {
_default: { $2: "null" },
open: "if($notnull_1){__=__.concat($item.nest($1,$2));}"
// tmpl target parameter can be of type function, so use $1, not $1a (so not auto detection of functions)
// This means that {{tmpl foo}} treats foo as a template (which IS a function).
// Explicit parens can be used if foo is a function that returns a template: {{tmpl foo()}}.
},
"wrap": {
_default: { $2: "null" },
open: "$item.calls(__,$1,$2);__=[];",
close: "call=$item.calls();__=call._.concat($item.wrap(call,__));"
},
"each": {
_default: { $2: "$index, $value" },
open: "if($notnull_1){$.each($1a,function($2){with(this){",
close: "}});}"
},
"if": {
open: "if(($notnull_1) && $1a){",
close: "}"
},
"else": {
_default: { $1: "true" },
open: "}else if(($notnull_1) && $1a){"
},
"html": {
// Unecoded expression evaluation.
open: "if($notnull_1){__.push($1a);}"
},
"=": {
// Encoded expression evaluation. Abbreviated form is ${}.
_default: { $1: "$data" },
open: "if($notnull_1){__.push($.encode($1a));}"
},
"!": {
// Comment tag. Skipped by parser
open: ""
}
},
// This stub can be overridden, e.g. in jquery.tmplPlus for providing rendered events
complete: function( items ) {
newTmplItems = {};
},
// Call this from code which overrides domManip, or equivalent
// Manage cloning/storing template items etc.
afterManip: function afterManip( elem, fragClone, callback ) {
// Provides cloned fragment ready for fixup prior to and after insertion into DOM
var content = fragClone.nodeType === 11 ?
jQuery.makeArray(fragClone.childNodes) :
fragClone.nodeType === 1 ? [fragClone] : [];
// Return fragment to original caller (e.g. append) for DOM insertion
callback.call( elem, fragClone );
// Fragment has been inserted:- Add inserted nodes to tmplItem data structure. Replace inserted element annotations by jQuery.data.
storeTmplItems( content );
cloneIndex++;
}
});
//========================== Private helper functions, used by code above ==========================
function build( tmplItem, nested, content ) {
// Convert hierarchical content into flat string array
// and finally return array of fragments ready for DOM insertion
var frag, ret = content ? jQuery.map( content, function( item ) {
return (typeof item === "string") ?
// Insert template item annotations, to be converted to jQuery.data( "tmplItem" ) when elems are inserted into DOM.
(tmplItem.key ? item.replace( /(<\w+)(?=[\s>])(?![^>]*_tmplitem)([^>]*)/g, "$1 " + tmplItmAtt + "=\"" + tmplItem.key + "\" $2" ) : item) :
// This is a child template item. Build nested template.
build( item, tmplItem, item._ctnt );
}) :
// If content is not defined, insert tmplItem directly. Not a template item. May be a string, or a string array, e.g. from {{html $item.html()}}.
tmplItem;
if ( nested ) {
return ret;
}
// top-level template
ret = ret.join("");
// Support templates which have initial or final text nodes, or consist only of text
// Also support HTML entities within the HTML markup.
ret.replace( /^\s*([^<\s][^<]*)?(<[\w\W]+>)([^>]*[^>\s])?\s*$/, function( all, before, middle, after) {
frag = jQuery( middle ).get();
storeTmplItems( frag );
if ( before ) {
frag = unencode( before ).concat(frag);
}
if ( after ) {
frag = frag.concat(unencode( after ));
}
});
return frag ? frag : unencode( ret );
}
function unencode( text ) {
// Use createElement, since createTextNode will not render HTML entities correctly
var el = document.createElement( "div" );
el.innerHTML = text;
return jQuery.makeArray(el.childNodes);
}
// Generate a reusable function that will serve to render a template against data
function buildTmplFn( markup ) {
return new Function("jQuery","$item",
// Use the variable __ to hold a string array while building the compiled template. (See https://github.com/jquery/jquery-tmpl/issues#issue/10).
"var $=jQuery,call,__=[],$data=$item.data;" +
// Introduce the data as local variables using with(){}
"with($data){__.push('" +
// Convert the template into pure JavaScript
jQuery.trim(markup)
.replace( /([\\'])/g, "\\$1" )
.replace( /[\r\t\n]/g, " " )
.replace( /\$\{([^\}]*)\}/g, "{{= $1}}" )
.replace( /\{\{(\/?)(\w+|.)(?:\(((?:[^\}]|\}(?!\}))*?)?\))?(?:\s+(.*?)?)?(\(((?:[^\}]|\}(?!\}))*?)\))?\s*\}\}/g,
function( all, slash, type, fnargs, target, parens, args ) {
var tag = jQuery.tmpl.tag[ type ], def, expr, exprAutoFnDetect;
if ( !tag ) {
throw "Unknown template tag: " + type;
}
def = tag._default || [];
if ( parens && !/\w$/.test(target)) {
target += parens;
parens = "";
}
if ( target ) {
target = unescape( target );
args = args ? ("," + unescape( args ) + ")") : (parens ? ")" : "");
// Support for target being things like a.toLowerCase();
// In that case don't call with template item as 'this' pointer. Just evaluate...
expr = parens ? (target.indexOf(".") > -1 ? target + unescape( parens ) : ("(" + target + ").call($item" + args)) : target;
exprAutoFnDetect = parens ? expr : "(typeof(" + target + ")==='function'?(" + target + ").call($item):(" + target + "))";
} else {
exprAutoFnDetect = expr = def.$1 || "null";
}
fnargs = unescape( fnargs );
return "');" +
tag[ slash ? "close" : "open" ]
.split( "$notnull_1" ).join( target ? "typeof(" + target + ")!=='undefined' && (" + target + ")!=null" : "true" )
.split( "$1a" ).join( exprAutoFnDetect )
.split( "$1" ).join( expr )
.split( "$2" ).join( fnargs || def.$2 || "" ) +
"__.push('";
}) +
"');}return __;"
);
}
function updateWrapped( options, wrapped ) {
// Build the wrapped content.
options._wrap = build( options, true,
// Suport imperative scenario in which options.wrapped can be set to a selector or an HTML string.
jQuery.isArray( wrapped ) ? wrapped : [htmlExpr.test( wrapped ) ? wrapped : jQuery( wrapped ).html()]
).join("");
}
function unescape( args ) {
return args ? args.replace( /\\'/g, "'").replace(/\\\\/g, "\\" ) : null;
}
function outerHtml( elem ) {
var div = document.createElement("div");
div.appendChild( elem.cloneNode(true) );
return div.innerHTML;
}
// Store template items in jQuery.data(), ensuring a unique tmplItem data data structure for each rendered template instance.
function storeTmplItems( content ) {
var keySuffix = "_" + cloneIndex, elem, elems, newClonedItems = {}, i, l, m;
for ( i = 0, l = content.length; i < l; i++ ) {
if ( (elem = content[i]).nodeType !== 1 ) {
continue;
}
elems = elem.getElementsByTagName("*");
for ( m = elems.length - 1; m >= 0; m-- ) {
processItemKey( elems[m] );
}
processItemKey( elem );
}
function processItemKey( el ) {
var pntKey, pntNode = el, pntItem, tmplItem, key;
// Ensure that each rendered template inserted into the DOM has its own template item,
if ( (key = el.getAttribute( tmplItmAtt ))) {
while ( pntNode.parentNode && (pntNode = pntNode.parentNode).nodeType === 1 && !(pntKey = pntNode.getAttribute( tmplItmAtt ))) { }
if ( pntKey !== key ) {
// The next ancestor with a _tmplitem expando is on a different key than this one.
// So this is a top-level element within this template item
// Set pntNode to the key of the parentNode, or to 0 if pntNode.parentNode is null, or pntNode is a fragment.
pntNode = pntNode.parentNode ? (pntNode.nodeType === 11 ? 0 : (pntNode.getAttribute( tmplItmAtt ) || 0)) : 0;
if ( !(tmplItem = newTmplItems[key]) ) {
// The item is for wrapped content, and was copied from the temporary parent wrappedItem.
tmplItem = wrappedItems[key];
tmplItem = newTmplItem( tmplItem, newTmplItems[pntNode]||wrappedItems[pntNode] );
tmplItem.key = ++itemKey;
newTmplItems[itemKey] = tmplItem;
}
if ( cloneIndex ) {
cloneTmplItem( key );
}
}
el.removeAttribute( tmplItmAtt );
} else if ( cloneIndex && (tmplItem = jQuery.data( el, "tmplItem" )) ) {
// This was a rendered element, cloned during append or appendTo etc.
// TmplItem stored in jQuery data has already been cloned in cloneCopyEvent. We must replace it with a fresh cloned tmplItem.
cloneTmplItem( tmplItem.key );
newTmplItems[tmplItem.key] = tmplItem;
pntNode = jQuery.data( el.parentNode, "tmplItem" );
pntNode = pntNode ? pntNode.key : 0;
}
if ( tmplItem ) {
pntItem = tmplItem;
// Find the template item of the parent element.
// (Using !=, not !==, since pntItem.key is number, and pntNode may be a string)
while ( pntItem && pntItem.key != pntNode ) {
// Add this element as a top-level node for this rendered template item, as well as for any
// ancestor items between this item and the item of its parent element
pntItem.nodes.push( el );
pntItem = pntItem.parent;
}
// Delete content built during rendering - reduce API surface area and memory use, and avoid exposing of stale data after rendering...
delete tmplItem._ctnt;
delete tmplItem._wrap;
// Store template item as jQuery data on the element
jQuery.data( el, "tmplItem", tmplItem );
}
function cloneTmplItem( key ) {
key = key + keySuffix;
tmplItem = newClonedItems[key] =
(newClonedItems[key] || newTmplItem( tmplItem, newTmplItems[tmplItem.parent.key + keySuffix] || tmplItem.parent ));
}
}
}
//---- Helper functions for template item ----
function tiCalls( content, tmpl, data, options ) {
if ( !content ) {
return stack.pop();
}
stack.push({ _: content, tmpl: tmpl, item:this, data: data, options: options });
}
function tiNest( tmpl, data, options ) {
// nested template, using {{tmpl}} tag
return jQuery.tmpl( jQuery.template( tmpl ), data, options, this );
}
function tiWrap( call, wrapped ) {
// nested template, using {{wrap}} tag
var options = call.options || {};
options.wrapped = wrapped;
// Apply the template, which may incorporate wrapped content,
return jQuery.tmpl( jQuery.template( call.tmpl ), call.data, options, call.item );
}
function tiHtml( filter, textOnly ) {
var wrapped = this._wrap;
return jQuery.map(
jQuery( jQuery.isArray( wrapped ) ? wrapped.join("") : wrapped ).filter( filter || "*" ),
function(e) {
return textOnly ?
e.innerText || e.textContent :
e.outerHTML || outerHtml(e);
});
}
function tiUpdate() {
var coll = this.nodes;
jQuery.tmpl( null, null, null, this).insertBefore( coll[0] );
jQuery( coll ).remove();
}
}));
| 19,323 | jquery.tmpl | js | en | javascript | code | {"qsc_code_num_words": 2291, "qsc_code_num_chars": 19323.0, "qsc_code_mean_word_length": 5.25054561, "qsc_code_frac_words_unique": 0.20253165, "qsc_code_frac_chars_top_2grams": 0.01695902, "qsc_code_frac_chars_top_3grams": 0.00498795, "qsc_code_frac_chars_top_4grams": 0.00581927, "qsc_code_frac_chars_dupe_5grams": 0.03890598, "qsc_code_frac_chars_dupe_6grams": 0.01596143, "qsc_code_frac_chars_dupe_7grams": 0.01346745, "qsc_code_frac_chars_dupe_8grams": 0.01346745, "qsc_code_frac_chars_dupe_9grams": 0.01346745, "qsc_code_frac_chars_dupe_10grams": 0.01346745, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00616711, "qsc_code_frac_chars_whitespace": 0.21958288, "qsc_code_size_file_byte": 19323.0, "qsc_code_num_lines": 492.0, "qsc_code_num_chars_line_max": 174.0, "qsc_code_num_chars_line_mean": 39.27439024, "qsc_code_frac_chars_alphabet": 0.79151194, "qsc_code_frac_chars_comments": 0.35294726, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.05801105, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.02209945, "qsc_code_frac_chars_string_length": 0.06758378, "qsc_code_frac_chars_long_word_length": 0.02471407, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codejavascript_cate_ast": 1.0, "qsc_codejavascript_cate_var_zero": 0.0, "qsc_codejavascript_frac_lines_func_ratio": 0.04143646, "qsc_codejavascript_num_statement_line": 0.00276243, "qsc_codejavascript_score_lines_no_logic": 0.12707182, "qsc_codejavascript_frac_words_legal_var_name": 1.0, "qsc_codejavascript_frac_words_legal_func_name": 1.0, "qsc_codejavascript_frac_words_legal_class_name": null, "qsc_codejavascript_frac_lines_print": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codejavascript_cate_ast": 0, "qsc_codejavascript_cate_var_zero": 0, "qsc_codejavascript_frac_lines_func_ratio": 0, "qsc_codejavascript_score_lines_no_logic": 0, "qsc_codejavascript_frac_lines_print": 0} |
1xinghuan/usdNodeGraph | lib/python/usdNodeGraph/ui/graph/nodeItem/nodeItem.py | # -*- coding: utf-8 -*-
import traceback
from usdNodeGraph.module.sqt import *
from usdNodeGraph.ui.graph.other.port import InputPort, OutputPort
from usdNodeGraph.ui.graph.other.pipe import Pipe, ConnectionPipe
from ..const import *
from usdNodeGraph.utils.log import get_logger
import re
from usdNodeGraph.core.node import Node
from usdNodeGraph.ui.graph.other.tag import LockTag
from usdNodeGraph.core.state import GraphState
logger = get_logger('usdNodeGraph.nodeItem')
NAME_FONT = QtGui.QFont('Arial', 10, italic=True)
NAME_FONT.setBold(True)
LABEL_FONT = QtGui.QFont('Arial', 10)
EXPRESSION_VALUE_PATTERN = re.compile(r'\[value [^\[\]]+\]')
EXPRESSION_PYTHON_PATTERN = re.compile(r'\[python [^\[\]]+\]')
class _BaseNodeItem(QtWidgets.QGraphicsItem):
x = 0
y = 0
w = 150
h = 50
labelNormalColor = QtGui.QColor(200, 200, 200)
labelHighlightColor = QtGui.QColor(40, 40, 40)
disablePenColor = QtGui.QColor(150, 20, 20)
def __init__(self, nodeObjectClass, **kwargs):
super(_BaseNodeItem, self).__init__()
self.setFlag(QtWidgets.QGraphicsItem.ItemIsMovable, True)
self.setFlag(QtWidgets.QGraphicsItem.ItemIsSelectable, True)
self.setAcceptHoverEvents(True)
self.pipes = []
self.ports = []
self.tags = {}
self.panel = None
self.margin = 6
self.roundness = 10
self._initUI()
self.nodeObject = nodeObjectClass(item=self, **kwargs)
self.fillColor = QtGui.QColor(*self.getParamColor('fillColor'))
self.borderColor = QtGui.QColor(*self.getParamColor('borderColor'))
self.nodeObject.parameterValueChanged.connect(self._paramterValueChanged)
def getParamColor(self, param):
color = self.parameter(param).getValue()
return self.nodeObject.convertColorTo255(color)
def parameter(self, parameterName):
return self.nodeObject.parameter(parameterName)
def hasParameter(self, name):
return self.nodeObject.hasParameter(name)
def parameters(self):
return self.nodeObject.parameters()
def addParameter(self, *args, **kwargs):
return self.nodeObject.addParameter(*args, **kwargs)
def setMetadata(self, *args, **kwargs):
self.nodeObject.setMetadata(*args, **kwargs)
def Class(self):
return self.nodeObject.Class()
def name(self):
return self.nodeObject.name()
def _getInputsList(self):
inputs = []
for inputPort in self.getInputPorts():
if len(inputPort.getConnections()) > 0:
for outputPort in inputPort.getConnections():
node = outputPort.node()
inputs.append([inputPort.name, node.name(), outputPort.name])
return inputs
def _getOutputsList(self):
outputs = []
for outputPort in self.getOutputPorts():
if len(outputPort.getConnections()) > 0:
for inputPort in outputPort.getConnections():
node = inputPort.node()
outputs.append([outputPort.name, node.name(), inputPort.name])
return outputs
def toXmlElement(self):
from usdNodeGraph.core.parse._xml import ET
nodeElement = ET.Element('n')
nodeElement.set('n', self.parameter('name').getValue())
nodeElement.set('c', self.Class())
for paramName, param in self.nodeObject._parameters.items():
if paramName != 'name':
override = param.isOverride()
custom = param.isCustom()
if not (override or custom) and paramName not in ['x', 'y']:
continue
paramElement = param.toXmlElement()
nodeElement.append(paramElement)
inputs = self._getInputsList()
outputs = self._getOutputsList()
for outputName, nodeName, inputName in outputs:
outputElement = ET.Element('o')
outputElement.set('n', outputName)
outputElement.set('conN', nodeName)
outputElement.set('conP', inputName)
nodeElement.append(outputElement)
for inputName, nodeName, outputName in inputs:
inputElement = ET.Element('i')
inputElement.set('n', inputName)
inputElement.set('conN', nodeName)
inputElement.set('conP', outputName)
nodeElement.append(inputElement)
for key, value in self.nodeObject.getMetadatas().items():
metadataElement = ET.Element('m')
metadataElement.set('k', key)
metadataElement.set('v', value)
nodeElement.append(metadataElement)
return nodeElement
def toXml(self):
from usdNodeGraph.core.parse._xml import convertToString
element = self.toXmlElement()
return convertToString(element)
@property
def nodeType(self):
return self.nodeObject.nodeType
def _initUI(self):
self.nameItem = None
self.disableItem = None
def _updateNameText(self):
if self.nameItem is not None:
name = self.parameter('name').getValue()
self.nameItem.setText(name)
rect = self.nameItem.boundingRect()
self.nameItem.setX((self.w - rect.width()) / 2.0)
self.nameItem.setY((self.h - rect.height()) / 2.0 - 10)
def _updateDisableItem(self):
disable = self.parameter('disable').getValue()
if self.disableItem is None:
self.disableItem = QtWidgets.QGraphicsLineItem(self)
self.disablePen = QtGui.QPen(self.disablePenColor)
self.disablePen.setWidth(5)
self.disableItem.setPen(self.disablePen)
self.disableItem.setLine(QtCore.QLineF(
QtCore.QPointF(0, 0), QtCore.QPointF(self.w, self.h)
))
self.disableItem.setVisible(disable)
def _updateLockTag(self):
if self.nodeObject.isNodeLocked():
self.addTag('lock', LockTag(), position=0.5)
else:
self.removeTag('lock')
def _paramterValueChanged(self, parameter):
if parameter.name() == 'x':
self.setX(parameter.getValue())
if parameter.name() == 'y':
self.setY(parameter.getValue())
if parameter.name() == 'disable':
self._updateDisableItem()
if parameter.name() == 'locked':
self._updateLockTag()
if parameter.name() == 'name':
self._updateNameText()
if parameter.name() in ['fillColor', 'borderColor']:
self.update()
# self._updateUI()
def setLabelVisible(self, visible):
if not visible and self.nameItem is None:
return
if visible and self.nameItem is None:
self.nameItem = QtWidgets.QGraphicsSimpleTextItem(self)
self.nameItem.setFont(NAME_FONT)
self.nameItem.setBrush(DEFAULT_LABEL_COLOR)
self.nameItem.setVisible(visible)
if visible:
self._updateNameText()
def setPortsLabelVisible(self, visible):
for port in self.ports:
port.setLabelVisible(visible)
def updateUI(self):
self._updateUI()
def _updateUI(self):
self._updateLockTag()
self._updateNameText()
def forceUpdatePanelUI(self):
if self.panel is not None:
self.panel.updateUI()
def _portConnectionChanged(self, port):
pass
def connectSource(self, node, inputName='input', outputName='output'):
"""
input -> output
:param node:
:param inputName:
:param outputName:
:return:
"""
inputPort = self.getInputPort(inputName)
if inputPort is None:
logger.warning('Input Port Not Exist! {}:{}'.format(node.name(), inputName))
return
outputPort = node.getOutputPort(outputName)
if outputPort is None:
logger.warning('Output Port Not Exist! {}{}'.format(node.name(), outputName))
return
inputPort.connectTo(outputPort)
# def connectDestination(self, nodeItem, outputName='', inputName=''):
# pass
def getInputPorts(self):
return [port for port in self.ports if isinstance(port, InputPort)]
def getOutputPorts(self):
return [port for port in self.ports if isinstance(port, OutputPort)]
def getInputPort(self, portName):
for port in self.getInputPorts():
if port.name == portName:
return port
def getOutputPort(self, portName):
for port in self.getOutputPorts():
if port.name == portName:
return port
def getPort(self, portName):
for port in self.ports:
if port.name == portName:
return port
def addPort(self, port):
port.setParentItem(self)
self.ports.append(port)
port.portObj.connectChanged.connect(self._portConnectionChanged)
def removePort(self, port):
self.ports.remove(port)
def addTag(self, name, tagItem, position=0.0):
if name not in self.tags:
self._addTag(name, tagItem, position=position)
else:
self.tags[name].setVisible(True)
def _addTag(self, name, tagItem, position=0.0):
tagItem.setParentItem(self)
margin_x = tagItem.w / 2.0 + TAG_MARGIN
margin_y = tagItem.h / 2.0 + TAG_MARGIN
if position <= 0.25:
y = 0 - margin_y
x = position * (self.w + margin_x * 2) / 0.25 - margin_x
elif 0.25 < position <= 0.5:
x = (self.w + margin_x * 2) - margin_x
y = (position - 0.25) * (self.h + margin_y * 2.0) / 0.25 - margin_y
elif 0.5 < position <= 0.75:
x = (position - 0.5) * (-2.0 * margin_x - self.w) / 0.25 + (self.w + margin_x)
y = self.h + margin_y
elif 0.75 < position <= 1.0:
x = 0 - margin_x
y = (position - 0.75) * (-2.0 * margin_y - self.h) / 0.25 + (self.h + margin_y)
tagItem.setPos(x - tagItem.w / 2.0, y - tagItem.h / 2.0)
self.tags[name] = tagItem
def removeTag(self, name):
if name in self.tags:
tag = self.tags[name]
tag.setVisible(False)
def setHighlight(self, value=True):
self.fillColor = QtGui.QColor(*self.nodeObject.fillHighlightColor) if value else QtGui.QColor(*self.getParamColor('fillColor'))
self.borderColor = QtGui.QColor(*self.nodeObject.borderHighlightColor) if value else QtGui.QColor(*self.getParamColor('borderColor'))
if self.nameItem is not None:
self.nameItem.setBrush(self.labelHighlightColor if value else self.labelNormalColor)
def updatePipe(self):
for port in self.ports:
for pipe in port.pipes:
pipe.updatePath()
def getContextMenus(self):
menus = []
return menus
def boundingRect(self):
rect = QtCore.QRectF(
self.x,
self.y,
self.w,
self.h)
return rect
def paint(self, painter, option, widget):
if self.isSelected():
penWidth = 2
else:
penWidth = 5
self.setHighlight(self.isSelected())
pen = QtGui.QPen(self.borderColor)
pen.setWidth(penWidth)
painter.setPen(pen)
painter.setBrush(QtGui.QBrush(self.fillColor))
painter.drawRoundedRect(self.x, self.y, self.w, self.h, self.roundness, self.roundness)
def mouseMoveEvent(self, event):
self.scene().updateSelectedNodesPipe()
super(_BaseNodeItem, self).mouseMoveEvent(event)
# slow
# for n in self.scene().getSelectedNodes():
# n.parameter('x').setValue(n.scenePos().x())
# n.parameter('y').setValue(n.scenePos().y())
def mouseDoubleClickEvent(self, event):
super(_BaseNodeItem, self).mouseDoubleClickEvent(event)
self.scene().parent().itemDoubleClicked.emit(self)
def hoverEnterEvent(self, event):
super(_BaseNodeItem, self).hoverEnterEvent(event)
self.setToolTip(self.getToolTip())
def getToolTip(self):
return self.parameter('name').getValue()
class NodeItem(_BaseNodeItem):
_nodeItemsMap = {}
nodeItemType = 'NodeItem'
@classmethod
def createItem(cls, nodeType, **kwargs):
nodeClass = Node.getNodeClass(nodeType)
nodeItemClass = cls._nodeItemsMap.get(nodeClass.nodeItemType)
item = nodeItemClass(nodeClass, **kwargs)
return item
@classmethod
def registerNodeItem(cls, itemClass):
cls._nodeItemsMap.update(
{itemClass.nodeItemType: itemClass}
)
def __init__(self, *args, **kwargs):
self.inputPorts = []
self.outputPorts = []
self.findPipes = []
super(NodeItem, self).__init__(*args, **kwargs)
def _initUI(self):
super(NodeItem, self)._initUI()
self.labelItem = None
self.inputPort = InputPort(name='input')
self.outputPort = OutputPort(name='output')
self.inputPorts.append(self.inputPort)
self.outputPorts.append(self.outputPort)
self.addPort(self.inputPort)
self.addPort(self.outputPort)
self.updatePortsPos()
def _updateLabelText(self):
if self.labelItem is None:
return
label = self.parameter('label').getValue()
expStrings = re.findall(EXPRESSION_VALUE_PATTERN, label)
for expString in expStrings:
paramName = ' '.join(expString.split(' ')[1:]).replace(']', '')
param = self.parameter(paramName)
if param is not None:
paramValue = param.getValue()
label = label.replace(expString, str(paramValue))
expStrings = re.findall(EXPRESSION_PYTHON_PATTERN, label)
for expString in expStrings:
pyString = ' '.join(expString.split(' ')[1:]).replace(']', '')
try:
result = eval(pyString, globals(), Node._expressionMap)
except(Exception) as e:
result = e
label = label.replace(expString, str(result))
self.labelItem.setHtml(label)
rect = self.labelItem.boundingRect()
self.labelItem.setX((self.w - rect.width()) / 2.0)
self.labelItem.setY(self.h / 2.0 + 0)
def setLabelVisible(self, visible):
super(NodeItem, self).setLabelVisible(visible)
if not visible and self.labelItem is None:
return
if visible and self.labelItem is None:
self.labelItem = QtWidgets.QGraphicsTextItem(self)
self.labelItem.setFont(LABEL_FONT)
self.labelItem.setVisible(visible)
if visible:
self._updateLabelText()
def _paramterValueChanged(self, parameter):
super(NodeItem, self)._paramterValueChanged(parameter)
if parameter.name() == 'label':
self._updateLabelText()
def _updateUI(self):
super(NodeItem, self)._updateUI()
self._updateLockTag()
self._updateNameText()
self._updateLabelText()
def getSources(self):
ports = []
ports.extend(self.inputPort.getConnections())
return [port.node() for port in ports]
def getDestinations(self):
ports = []
ports.extend(self.outputPort.getConnections())
return [port.node() for port in ports]
def _setPortPos(self, port):
bbox = self.boundingRect()
if isinstance(port, InputPort):
port.setPos((bbox.width() - port.w) / 2.0, bbox.top() - port.w / 2.0)
elif isinstance(port, OutputPort):
port.setPos((bbox.width() - port.w) / 2.0, bbox.bottom() - port.w / 2.0)
def updatePortsPos(self):
for port in self.inputPorts:
self._setPortPos(port)
for port in self.outputPorts:
self._setPortPos(port)
def connectToNode(self, node):
self.inputPort.connectTo(node.outputPort)
def _getUpPrimNode(self):
sourceNodes = self.getSources()
if len(sourceNodes) == 1:
sourceNode = sourceNodes[0]
if sourceNode.hasParameter('primName'):
return sourceNode
else:
return sourceNode._getUpPrimNode()
def _getUpPrimPath(self, path):
upPrimNode = self._getUpPrimNode()
if upPrimNode is None:
return path
upPrimPath = upPrimNode._getUpPrimPath(path)
primName = upPrimNode.parameter('primName').getValue()
return '{}/{}'.format(upPrimPath, primName)
def afterAddToScene(self):
pass
def _findPipeToConnect(self):
findPipes = [
item for item in self.collidingItems(QtCore.Qt.IntersectsItemShape)
if isinstance(item, Pipe) and not isinstance(item, ConnectionPipe)
]
if len(self.findPipes) > 0:
for pipe in self.findPipes:
pipe.setLineColor(highlight=False)
pipe.update()
self.findPipes = []
if len(findPipes) > 0:
self.findPipes = findPipes
for pipe in self.findPipes:
pipe.setLineColor(highlight=True)
pipe.update()
def _connectToFoundPipe(self):
if len(self.findPipes) > 0:
with GraphState.stopLiveUpdate():
for pipe in self.findPipes:
source = pipe.source
target = pipe.target
pipe.breakConnection()
self.inputPort.connectTo(source)
self.outputPort.connectTo(target)
self.scene().liveUpdateRequired()
self.findPipes = []
def mousePressEvent(self, event):
super(NodeItem, self).mousePressEvent(event)
if event.button() == QtCore.Qt.LeftButton:
self.findingPipe = True
self.startPos = self.mapToScene(self.boundingRect().center())
def mouseMoveEvent(self, event):
super(NodeItem, self).mouseMoveEvent(event)
connectedPipes = []
for port in self.ports:
connectedPipes.extend(port.pipes)
if len(connectedPipes) == 0:
# if already has connect, don't find other pipe
self._findPipeToConnect()
def mouseReleaseEvent(self, event):
super(NodeItem, self).mouseReleaseEvent(event)
self._connectToFoundPipe()
| 18,545 | nodeItem | py | en | python | code | {"qsc_code_num_words": 1903, "qsc_code_num_chars": 18545.0, "qsc_code_mean_word_length": 5.84130321, "qsc_code_frac_words_unique": 0.17708881, "qsc_code_frac_chars_top_2grams": 0.01133501, "qsc_code_frac_chars_top_3grams": 0.00971573, "qsc_code_frac_chars_top_4grams": 0.01169485, "qsc_code_frac_chars_dupe_5grams": 0.1981828, "qsc_code_frac_chars_dupe_6grams": 0.11541922, "qsc_code_frac_chars_dupe_7grams": 0.08141418, "qsc_code_frac_chars_dupe_8grams": 0.05667506, "qsc_code_frac_chars_dupe_9grams": 0.03418496, "qsc_code_frac_chars_dupe_10grams": 0.0206909, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01022095, "qsc_code_frac_chars_whitespace": 0.28250202, "qsc_code_size_file_byte": 18545.0, "qsc_code_num_lines": 562.0, "qsc_code_num_chars_line_max": 142.0, "qsc_code_num_chars_line_mean": 32.99822064, "qsc_code_frac_chars_alphabet": 0.82519164, "qsc_code_frac_chars_comments": 0.02054462, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.15294118, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0180673, "qsc_code_frac_chars_long_word_length": 0.00116029, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.15529412, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.00470588, "qsc_codepython_frac_lines_import": 0.02823529, "qsc_codepython_frac_lines_simplefunc": 0.023529411764705882, "qsc_codepython_score_lines_no_logic": 0.28470588, "qsc_codepython_frac_lines_print": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1yefuwang1/vectorlite | setup.py | from distutils.command.build_ext import build_ext
from distutils.command.install_lib import install_lib
from wheel.bdist_wheel import bdist_wheel
import platform
import os
import shutil
from pathlib import Path
from setuptools import Extension, setup
# import cmake
import subprocess
# import ninja
VERSION = '0.2.0'
PACKAGE_NAME = 'vectorlite_py'
system = platform.system()
machine = platform.machine()
print(f'Current platfrom: {system}, {machine}')
# print(f'cmake bin dir: {cmake.CMAKE_BIN_DIR}. cwd: {os.getcwd()}')
# cmake_path = os.path.join(cmake.CMAKE_BIN_DIR, 'cmake')
# ctest_path = os.path.join(cmake.CMAKE_BIN_DIR, 'ctest')
# ninja_path = os.path.join(ninja.BIN_DIR, 'ninja')
# cmake_version = subprocess.run([cmake_path, '--version'], check=True)
# cmake_version.check_returncode()
class CMakeExtension(Extension):
def __init__(self, name: str) -> None:
super().__init__(name, sources=[])
def get_lib_name():
if system.lower() == 'linux':
return 'vectorlite.so'
if system.lower() == 'darwin':
return 'vectorlite.dylib'
if system.lower() == 'windows':
return 'vectorlite.dll'
raise ValueError(f'Unsupported platform: {system}')
class CMakeBuild(build_ext):
def build_extension(self, ext: CMakeExtension) -> None:
cmake_path = 'cmake'
ctest_path = 'ctest'
print(f'Building extension for {self.plat_name} {self.compiler.compiler_type}')
extra_args = []
# if system.lower() == 'windows':
# extra_args = ['-DCMAKE_CXX_COMPILER=cl', '-DCMAKE_C_COMPILER=cl']
configure = subprocess.run([cmake_path, '--preset', 'release', *extra_args])
configure.check_returncode()
subprocess.run([cmake_path, '--build', os.path.join('build', 'release'), '-j8'], check=True)
print(f'Running unit tests')
subprocess.run([ctest_path, '--test-dir', os.path.join('build', 'release', 'vectorlite'), '--rerun-failed', '--output-on-failure'], check=True)
print(f'Running benchmark')
subprocess.run([os.path.join('build', 'release', 'vectorlite', 'ops', 'ops_benchmark')], check=True)
class CMakeInstallLib(install_lib):
def run(self):
install_to = Path(self.build_dir, PACKAGE_NAME)
print(f'Install lib to {install_to}')
lib = Path('build', 'release', 'vectorlite', get_lib_name())
if not lib.exists():
raise FileNotFoundError(f'Build output not found: {lib}')
shutil.copy(lib, install_to)
super().run()
# modifed from https://github.com/joerick/python-ctypes-package-sample/blob/86d6abd4b0e2950fdeb4f69aaea3f88665af4405/setup.py#L29
class BuildAbiNoneWheel(bdist_wheel):
def finalize_options(self):
bdist_wheel.finalize_options(self)
self.root_is_pure = False
def get_tag(self):
python, abi, plat = bdist_wheel.get_tag(self)
return "py3", "none", plat
setup(
name=PACKAGE_NAME,
description='Fast vector search for sqlite3',
long_description='Fast vector search for sqlite3',
author='Yefu Wang',
author_email='1yefuwang1@gmail.com',
url='https://github.com/1yefuwang1/vectorlite',
license='Apache License, Version 2.0',
version=VERSION,
packages=['vectorlite_py'],
package_dir={
'vectorlite_py': 'bindings/python/vectorlite_py'
},
# package_data={"vectorlite_py": ['*.so', '*.dylib', '*.dll']},
install_requires=[],
ext_modules=[CMakeExtension('vectorlite')],
cmdclass={
'build_ext': CMakeBuild,
'install_lib': CMakeInstallLib,
'bdist_wheel': BuildAbiNoneWheel
}
) | 3,634 | setup | py | en | python | code | {"qsc_code_num_words": 444, "qsc_code_num_chars": 3634.0, "qsc_code_mean_word_length": 5.32657658, "qsc_code_frac_words_unique": 0.31981982, "qsc_code_frac_chars_top_2grams": 0.02536998, "qsc_code_frac_chars_top_3grams": 0.02536998, "qsc_code_frac_chars_top_4grams": 0.02029598, "qsc_code_frac_chars_dupe_5grams": 0.11162791, "qsc_code_frac_chars_dupe_6grams": 0.08372093, "qsc_code_frac_chars_dupe_7grams": 0.02536998, "qsc_code_frac_chars_dupe_8grams": 0.02536998, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01244116, "qsc_code_frac_chars_whitespace": 0.18161805, "qsc_code_size_file_byte": 3634.0, "qsc_code_num_lines": 101.0, "qsc_code_num_chars_line_max": 152.0, "qsc_code_num_chars_line_mean": 35.98019802, "qsc_code_frac_chars_alphabet": 0.78278413, "qsc_code_frac_chars_comments": 0.17721519, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.24756466, "qsc_code_frac_chars_long_word_length": 0.0194827, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.08, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.12, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.30666667, "qsc_codepython_frac_lines_print": 0.06666667} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/css/animate.min.css | @charset "UTF-8";/*!
Animate.css - http://daneden.me/animate
Licensed under the MIT license
Copyright (c) 2013 Daniel Eden
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
*/.animated{-webkit-animation-duration:1s;animation-duration:1s;-webkit-animation-fill-mode:both;animation-fill-mode:both;z-index:100}.animated.infinite{-webkit-animation-iteration-count:infinite;animation-iteration-count:infinite}.animated.hinge{-webkit-animation-duration:2s;animation-duration:2s}@-webkit-keyframes bounce{0%,100%,20%,50%,80%{-webkit-transform:translateY(0);transform:translateY(0)}40%{-webkit-transform:translateY(-30px);transform:translateY(-30px)}60%{-webkit-transform:translateY(-15px);transform:translateY(-15px)}}@keyframes bounce{0%,100%,20%,50%,80%{-webkit-transform:translateY(0);-ms-transform:translateY(0);transform:translateY(0)}40%{-webkit-transform:translateY(-30px);-ms-transform:translateY(-30px);transform:translateY(-30px)}60%{-webkit-transform:translateY(-15px);-ms-transform:translateY(-15px);transform:translateY(-15px)}}.bounce{-webkit-animation-name:bounce;animation-name:bounce}@-webkit-keyframes flash{0%,100%,50%{opacity:1}25%,75%{opacity:0}}@keyframes 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1c-syntax/ssl_3_1 | src/cf/Reports/УчастникиГруппПользователей/Ext/ManagerModule.bsl | ///////////////////////////////////////////////////////////////////////////////////////////////////////
// Copyright (c) 2024, ООО 1С-Софт
// Все права защищены. Эта программа и сопроводительные материалы предоставляются
// в соответствии с условиями лицензии Attribution 4.0 International (CC BY 4.0)
// Текст лицензии доступен по ссылке:
// https://creativecommons.org/licenses/by/4.0/legalcode
///////////////////////////////////////////////////////////////////////////////////////////////////////
#Если Сервер Или ТолстыйКлиентОбычноеПриложение Или ВнешнееСоединение Тогда
#Область ПрограммныйИнтерфейс
#Область ДляВызоваИзДругихПодсистем
// См. ВариантыОтчетовПереопределяемый.ПередДобавлениемКомандОтчетов.
Процедура ПередДобавлениемКомандОтчетов(КомандыОтчетов, Параметры, СтандартнаяОбработка) Экспорт
Если Не ОбщегоНазначения.ПодсистемаСуществует("СтандартныеПодсистемы.ВариантыОтчетов")
Или Не ПравоДоступа("Просмотр", Метаданные.Отчеты.УчастникиГруппПользователей)
Или СтандартныеПодсистемыСервер.ЭтоБазоваяВерсияКонфигурации() Тогда
Возврат;
КонецЕсли;
Представление = Неопределено;
Если Параметры.ИмяФормы = "Справочник.Пользователи.Форма.ФормаСписка" Тогда
Представление = НСтр("ru = 'Участники групп пользователей'");
ИначеЕсли Параметры.ИмяФормы = "Справочник.Пользователи.Форма.ФормаЭлемента" Тогда
Представление = НСтр("ru = 'Участник групп пользователей'");
КонецЕсли;
Если Представление = Неопределено Тогда
Возврат;
КонецЕсли;
Команда = КомандыОтчетов.Добавить();
Команда.Представление = Представление;
Команда.Менеджер = "Отчет.УчастникиГруппПользователей";
Команда.КлючВарианта = "Основной";
Команда.Важность = "Обычная";
Команда.ФункциональныеОпции = "ИспользоватьГруппыПользователей";
КонецПроцедуры
// Параметры:
// Настройки - см. ВариантыОтчетовПереопределяемый.НастроитьВариантыОтчетов.Настройки.
// НастройкиОтчета - см. ВариантыОтчетов.ОписаниеОтчета.
//
Процедура НастроитьВариантыОтчета(Настройки, НастройкиОтчета) Экспорт
Если Не ОбщегоНазначения.ПодсистемаСуществует("СтандартныеПодсистемы.ВариантыОтчетов") Тогда
Возврат;
КонецЕсли;
МодульВариантыОтчетов = ОбщегоНазначения.ОбщийМодуль("ВариантыОтчетов");
НастройкиОтчета.ОпределитьНастройкиФормы = Истина;
НастройкиВарианта = МодульВариантыОтчетов.ОписаниеВарианта(Настройки, НастройкиОтчета, "Основной");
НастройкиВарианта.Описание =
НСтр("ru = 'Выводит сведения о вхождении пользователей в группы пользователей.'");
КонецПроцедуры
#КонецОбласти
#КонецОбласти
#КонецЕсли | 2,530 | ManagerModule | bsl | ru | 1c enterprise | code | {"qsc_code_num_words": 191, "qsc_code_num_chars": 2530.0, "qsc_code_mean_word_length": 9.91099476, "qsc_code_frac_words_unique": 0.58115183, "qsc_code_frac_chars_top_2grams": 0.00316957, "qsc_code_frac_chars_top_3grams": 0.03328051, "qsc_code_frac_chars_top_4grams": 0.0306392, "qsc_code_frac_chars_dupe_5grams": 0.1362916, "qsc_code_frac_chars_dupe_6grams": 0.08980454, "qsc_code_frac_chars_dupe_7grams": 0.08980454, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00480979, "qsc_code_frac_chars_whitespace": 0.09604743, "qsc_code_size_file_byte": 2530.0, "qsc_code_num_lines": 69.0, "qsc_code_num_chars_line_max": 105.0, "qsc_code_num_chars_line_mean": 36.66666667, "qsc_code_frac_chars_alphabet": 0.82247486, "qsc_code_frac_chars_comments": 0.95849802, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 1, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1c-syntax/ssl_3_1 | src/cf/Reports/УчастникиГруппПользователей/Templates/Макет.xml | <?xml version="1.0" encoding="UTF-8"?>
<MetaDataObject xmlns="http://v8.1c.ru/8.3/MDClasses" xmlns:app="http://v8.1c.ru/8.2/managed-application/core" xmlns:cfg="http://v8.1c.ru/8.1/data/enterprise/current-config" xmlns:cmi="http://v8.1c.ru/8.2/managed-application/cmi" xmlns:ent="http://v8.1c.ru/8.1/data/enterprise" xmlns:lf="http://v8.1c.ru/8.2/managed-application/logform" xmlns:style="http://v8.1c.ru/8.1/data/ui/style" xmlns:sys="http://v8.1c.ru/8.1/data/ui/fonts/system" xmlns:v8="http://v8.1c.ru/8.1/data/core" xmlns:v8ui="http://v8.1c.ru/8.1/data/ui" xmlns:web="http://v8.1c.ru/8.1/data/ui/colors/web" xmlns:win="http://v8.1c.ru/8.1/data/ui/colors/windows" xmlns:xen="http://v8.1c.ru/8.3/xcf/enums" xmlns:xpr="http://v8.1c.ru/8.3/xcf/predef" xmlns:xr="http://v8.1c.ru/8.3/xcf/readable" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="2.18">
<Template uuid="bc79b15c-5bde-4587-a1ed-b5c4909eec5d">
<Properties>
<Name>Макет</Name>
<Synonym>
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Макет</v8:content>
</v8:item>
</Synonym>
<Comment/>
<TemplateType>DataCompositionSchema</TemplateType>
</Properties>
</Template>
</MetaDataObject> | 1,235 | Макет | xml | ru | xml | data | {"qsc_code_num_words": 223, "qsc_code_num_chars": 1235.0, "qsc_code_mean_word_length": 3.83408072, "qsc_code_frac_words_unique": 0.32735426, "qsc_code_frac_chars_top_2grams": 0.10526316, "qsc_code_frac_chars_top_3grams": 0.14035088, "qsc_code_frac_chars_top_4grams": 0.1754386, "qsc_code_frac_chars_dupe_5grams": 0.42923977, "qsc_code_frac_chars_dupe_6grams": 0.42923977, "qsc_code_frac_chars_dupe_7grams": 0.35672515, "qsc_code_frac_chars_dupe_8grams": 0.28538012, "qsc_code_frac_chars_dupe_9grams": 0.05614035, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.0862069, "qsc_code_frac_chars_whitespace": 0.06072874, "qsc_code_size_file_byte": 1235.0, "qsc_code_num_lines": 16.0, "qsc_code_num_chars_line_max": 869.0, "qsc_code_num_chars_line_mean": 77.1875, "qsc_code_frac_chars_alphabet": 0.65, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 1.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.5417004, "qsc_code_frac_chars_long_word_length": 0.0291498, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 1, "qsc_code_cate_autogen": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0} |
1c-syntax/ssl_3_1 | src/cf/Reports/УчастникиГруппПользователей/Templates/Макет/Ext/Template.xml | <?xml version="1.0" encoding="UTF-8"?>
<DataCompositionSchema xmlns="http://v8.1c.ru/8.1/data-composition-system/schema" xmlns:dcscom="http://v8.1c.ru/8.1/data-composition-system/common" xmlns:dcscor="http://v8.1c.ru/8.1/data-composition-system/core" xmlns:dcsset="http://v8.1c.ru/8.1/data-composition-system/settings" xmlns:v8="http://v8.1c.ru/8.1/data/core" xmlns:v8ui="http://v8.1c.ru/8.1/data/ui" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<dataSource>
<name>ИсточникДанных1</name>
<dataSourceType>Local</dataSourceType>
</dataSource>
<dataSet xsi:type="DataSetQuery">
<name>НаборДанных</name>
<field xsi:type="DataSetFieldField">
<dataPath>ГруппаПользователей</dataPath>
<field>ГруппаПользователей</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Группа пользователей</v8:content>
</v8:item>
</title>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>Пользователь</dataPath>
<field>Пользователь</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Пользователь</v8:content>
</v8:item>
</title>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ДействительныйУчастник</dataPath>
<field>ДействительныйУчастник</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Действительный участник</v8:content>
</v8:item>
</title>
</field>
<dataSource>ИсточникДанных1</dataSource>
<query>ВЫБРАТЬ
СоставГруппы.Ссылка КАК ГруппаПользователей,
СоставГруппы.Пользователь КАК Пользователь,
СоставыГруппПользователей.Используется КАК ДействительныйУчастник
ИЗ
Справочник.ГруппыПользователей.Состав КАК СоставГруппы
ВНУТРЕННЕЕ СОЕДИНЕНИЕ РегистрСведений.СоставыГруппПользователей КАК СоставыГруппПользователей
ПО (СоставыГруппПользователей.ГруппаПользователей = СоставГруппы.Ссылка)
И (СоставыГруппПользователей.Пользователь = СоставГруппы.Пользователь)
ГДЕ
ЕСТЬNULL(СоставыГруппПользователей.Пользователь.Служебный, ЛОЖЬ) <> ИСТИНА
И (НЕ &ВключитьТолькоДействительныхУчастников
ИЛИ СоставыГруппПользователей.Используется)
{ГДЕ
(СоставГруппы.Пользователь В (&Пользователь)),
(СоставГруппы.Ссылка В ИЕРАРХИИ (&ГруппаПользователейВИерархии)),
(СоставГруппы.Ссылка В (&ГруппаПользователейВСписке))}</query>
</dataSet>
<calculatedField>
<dataPath>Количество</dataPath>
<expression>1</expression>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Количество</v8:content>
</v8:item>
</title>
</calculatedField>
<totalField>
<dataPath>Количество</dataPath>
<expression>Сумма(Количество)</expression>
<group>ГруппаПользователей</group>
<group>ГруппаПользователей Иерархия</group>
<group>ОбщийИтог</group>
</totalField>
<parameter>
<name>Пользователь</name>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Пользователь</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type xmlns:d4p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d4p1:CatalogRef.Пользователи</v8:Type>
</valueType>
<useRestriction>false</useRestriction>
<valueListAllowed>true</valueListAllowed>
</parameter>
<parameter>
<name>ГруппаПользователей</name>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Группа пользователей</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type xmlns:d4p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d4p1:CatalogRef.ГруппыПользователей</v8:Type>
</valueType>
<useRestriction>false</useRestriction>
<valueListAllowed>true</valueListAllowed>
</parameter>
<parameter>
<name>ПоказыватьНедействительныхУчастников</name>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Показывать недействительных участников</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
<value xsi:type="xs:boolean">true</value>
<useRestriction>false</useRestriction>
<inputParameters>
<dcscor:item>
<dcscor:parameter>БыстрыйВыбор</dcscor:parameter>
<dcscor:value xsi:type="xs:boolean">true</dcscor:value>
</dcscor:item>
</inputParameters>
</parameter>
<parameter>
<name>СкрыватьПользователейНижестоящихГрупп</name>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Скрывать пользователей нижестоящих групп</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
<value xsi:type="xs:boolean">true</value>
<useRestriction>false</useRestriction>
<inputParameters>
<dcscor:item>
<dcscor:parameter>БыстрыйВыбор</dcscor:parameter>
<dcscor:value xsi:type="xs:boolean">true</dcscor:value>
</dcscor:item>
</inputParameters>
</parameter>
<parameter>
<name>ВключитьТолькоДействительныхУчастников</name>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Включить только действительных участников</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
<value xsi:type="xs:boolean">false</value>
<useRestriction>true</useRestriction>
</parameter>
<parameter>
<name>ГруппаПользователейВИерархии</name>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Группа пользователей в иерархии</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type xmlns:d4p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d4p1:CatalogRef.ГруппыПользователей</v8:Type>
</valueType>
<useRestriction>true</useRestriction>
<valueListAllowed>true</valueListAllowed>
</parameter>
<parameter>
<name>ГруппаПользователейВСписке</name>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Группа пользователей в списке</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type xmlns:d4p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d4p1:CatalogRef.ГруппыПользователей</v8:Type>
</valueType>
<useRestriction>true</useRestriction>
<valueListAllowed>true</valueListAllowed>
</parameter>
<settingsVariant>
<dcsset:name>Основной</dcsset:name>
<dcsset:presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Участники групп пользователей</v8:content>
</v8:item>
</dcsset:presentation>
<dcsset:settings xmlns:style="http://v8.1c.ru/8.1/data/ui/style" xmlns:sys="http://v8.1c.ru/8.1/data/ui/fonts/system" xmlns:web="http://v8.1c.ru/8.1/data/ui/colors/web" xmlns:win="http://v8.1c.ru/8.1/data/ui/colors/windows">
<dcsset:userFields>
<dcsset:item xsi:type="dcsset:UserFieldExpression">
<dcsset:dataPath>ПользовательскиеПоля.Поле1</dcsset:dataPath>
<dcsset:lwsTitle>
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Вышестоящая группа</v8:content>
</v8:item>
</dcsset:lwsTitle>
<dcsset:detailExpression>ВычислитьВыражение("ВычислитьВыражение(""ГруппаПользователей"", , ""ГруппировкаНеРесурса"")", , "Иерархия")</dcsset:detailExpression>
<dcsset:detailExpressionPresentation>ВычислитьВыражение("ВычислитьВыражение(""[Группа пользователей]"", , ""ГруппировкаНеРесурса"")", , "Иерархия")</dcsset:detailExpressionPresentation>
<dcsset:totalExpression>ВычислитьВыражение("ВычислитьВыражение(""ГруппаПользователей"", , ""ГруппировкаНеРесурса"")", , "Иерархия")</dcsset:totalExpression>
<dcsset:totalExpressionPresentation>ВычислитьВыражение("ВычислитьВыражение(""[Группа пользователей]"", , ""ГруппировкаНеРесурса"")", , "Иерархия")</dcsset:totalExpressionPresentation>
</dcsset:item>
<dcsset:item xsi:type="dcsset:UserFieldExpression">
<dcsset:dataPath>ПользовательскиеПоля.Поле2</dcsset:dataPath>
<dcsset:lwsTitle>
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Количество различных групп в вышестоящей группе</v8:content>
</v8:item>
</dcsset:lwsTitle>
<dcsset:detailExpression>ВычислитьВыражение("Количество(Различные ГруппаПользователей)", , "Иерархия")</dcsset:detailExpression>
<dcsset:detailExpressionPresentation>ВычислитьВыражение("Количество(Различные [Группа пользователей])", , "Иерархия")</dcsset:detailExpressionPresentation>
<dcsset:totalExpression>ВычислитьВыражение("Количество(Различные ГруппаПользователей)", , "Иерархия")</dcsset:totalExpression>
<dcsset:totalExpressionPresentation>ВычислитьВыражение("Количество(Различные [Группа пользователей])", , "Иерархия")</dcsset:totalExpressionPresentation>
</dcsset:item>
<dcsset:item xsi:type="dcsset:UserFieldExpression">
<dcsset:dataPath>ПользовательскиеПоля.Поле3</dcsset:dataPath>
<dcsset:lwsTitle>
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Вышестоящая группа есть в детальных записях</v8:content>
</v8:item>
</dcsset:lwsTitle>
<dcsset:detailExpression>ВычислитьВыражение("Максимум(ВычислитьВыражение(""ГруппаПользователей"", , ""ГруппировкаНеРесурса"") = ГруппаПользователей.Родитель)", , "Иерархия")</dcsset:detailExpression>
<dcsset:detailExpressionPresentation>ВычислитьВыражение("Максимум(ВычислитьВыражение(""[Группа пользователей]"", , ""ГруппировкаНеРесурса"") = [Группа пользователей.Входит в группу])", , "Иерархия")</dcsset:detailExpressionPresentation>
<dcsset:totalExpression>ВычислитьВыражение("Максимум(ВычислитьВыражение(""ГруппаПользователей"", , ""ГруппировкаНеРесурса"") = ГруппаПользователей.Родитель)", , "Иерархия")</dcsset:totalExpression>
<dcsset:totalExpressionPresentation>ВычислитьВыражение("Максимум(ВычислитьВыражение(""[Группа пользователей]"", , ""ГруппировкаНеРесурса"") = [Группа пользователей.Входит в группу])", , "Иерархия")</dcsset:totalExpressionPresentation>
</dcsset:item>
</dcsset:userFields>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Количество</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:dataParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>Пользователь</dcscor:parameter>
<dcscor:value xsi:nil="true"/>
<dcsset:userSettingID>122f3f56-1284-490f-a1e2-b08dbf397a88</dcsset:userSettingID>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>ГруппаПользователей</dcscor:parameter>
<dcscor:value xsi:nil="true"/>
<dcsset:userSettingID>6dd18e77-4ab9-46e7-afe5-fed8e178925f</dcsset:userSettingID>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>ПоказыватьНедействительныхУчастников</dcscor:parameter>
<dcscor:value xsi:type="xs:boolean">true</dcscor:value>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>84b94724-3c5d-4c34-a6ff-5ab2a0e930cc</dcsset:userSettingID>
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1c-syntax/ssl_3_1 | src/cf/Reports/СостояниеУчетнойЗаписиDSS/Ext/ObjectModule.bsl | ///////////////////////////////////////////////////////////////////////////////////////////////////////
// Copyright (c) 2024, ООО 1С-Софт
// Все права защищены. Эта программа и сопроводительные материалы предоставляются
// в соответствии с условиями лицензии Attribution 4.0 International (CC BY 4.0)
// Текст лицензии доступен по ссылке:
// https://creativecommons.org/licenses/by/4.0/legalcode
///////////////////////////////////////////////////////////////////////////////////////////////////////
#Если Сервер Или ТолстыйКлиентОбычноеПриложение Или ВнешнееСоединение Тогда
#Область ПрограммныйИнтерфейс
#Область ДляВызоваИзДругихПодсистем
// СтандартныеПодсистемы.ВариантыОтчетов
// Настройки общей формы отчета подсистемы "Варианты отчетов".
//
// Параметры:
// Форма - ФормаКлиентскогоПриложения, Неопределено - форма отчета или форма настроек отчета.
// Неопределено когда вызов без контекста.
// КлючВарианта - Строка, Неопределено - имя предопределенного
// или уникальный идентификатор пользовательского варианта отчета.
// Неопределено когда вызов без контекста.
// Настройки - см. ОтчетыКлиентСервер.НастройкиОтчетаПоУмолчанию
//
Процедура ОпределитьНастройкиФормы(Форма, КлючВарианта, Настройки) Экспорт
Настройки.ВыводитьСуммуВыделенныхЯчеек = Ложь;
Настройки.РазрешеноВыбиратьИНастраиватьВариантыБезСохранения = Истина;
Настройки.СкрытьКомандыРассылки = Истина;
Настройки.РазрешеноИзменятьСтруктуру = Ложь;
Настройки.РазрешеноИзменятьВарианты = Ложь;
Настройки.РазрешеноЗагружатьСхему = Ложь;
Настройки.РазрешеноРедактироватьСхему = Ложь;
Настройки.РазрешеноВосстанавливатьСтандартнуюСхему = Истина;
Настройки.События.ПриСозданииНаСервере = Истина;
Настройки.ФормироватьСразу = Истина;
КонецПроцедуры
// См. ОтчетыПереопределяемый.ПриСозданииНаСервере.
Процедура ПриСозданииНаСервере(Форма, Отказ, СтандартнаяОбработка) Экспорт
УчетнаяЗапись = Неопределено;
Если Форма.Параметры.Свойство("УчетнаяЗапись") Тогда
УчетнаяЗапись = Форма.Параметры.УчетнаяЗапись;
УстановитьПараметрыДанных(КомпоновщикНастроек.Настройки, УчетнаяЗапись);
Форма.КлючНазначенияИспользования = УчетнаяЗапись.Метаданные().ПолноеИмя();
КонецЕсли;
КонецПроцедуры
// Конец СтандартныеПодсистемы.ВариантыОтчетов
// Следующие процедуры и функции предназначены для интеграции с 1С-Отчетность
// Предназначена для формирования данных о состояние учетной записи облачной подписи.
//
// Параметры:
// ДанныеРасшифровки - Неопределено - возвращает данные о расшифровке
// ДокументРезультат - ТабличныйДокумент
// - Неопределено
//
// Возвращаемое значение:
// - ТабличныйДокумент
// - Строка
//
//
Функция СформироватьДанныеОтчета(ДанныеРасшифровки, ДокументРезультат = Неопределено) Экспорт
Если ДокументРезультат = Неопределено Тогда
ДокументРезультат = Новый ТабличныйДокумент;
КонецЕсли;
НастройкиОтчета = КомпоновщикНастроек.ПолучитьНастройки();
НастройкиПользователя = НастройкиОтчета.ПараметрыДанных.Элементы.Найти("НастройкиПользователя").Значение;
ФорматРезультат = НастройкиОтчета.ПараметрыДанных.Элементы.Найти("ФорматРезультата").Значение;
ДанныеОтчета = Отчеты.СостояниеУчетнойЗаписиDSS.СформироватьДанныеСостоянияУчетнойЗаписи(НастройкиПользователя);
Если ФорматРезультат = "XML" Тогда
ЗаписьДанных = Новый ЗаписьXML;
ЗаписьДанных.УстановитьСтроку();
ЗаписьДанных.ЗаписатьНачалоЭлемента("Начало");
Для каждого СтрокаКлюча Из ДанныеОтчета.Таблицы Цикл
ЗаписьДанных.ЗаписатьНачалоЭлемента(СтрокаКлюча.Ключ);
СериализаторXDTO.ЗаписатьXML(ЗаписьДанных, СтрокаКлюча.Значение);
ЗаписьДанных.ЗаписатьКонецЭлемента();
КонецЦикла;
ЗаписьДанных.ЗаписатьКонецЭлемента();
ДокументРезультат = ЗаписьДанных.Закрыть();
Иначе
КомпоновщикМакета = Новый КомпоновщикМакетаКомпоновкиДанных;
МакетКомпоновки = КомпоновщикМакета.Выполнить(СхемаКомпоновкиДанных, НастройкиОтчета, ДанныеРасшифровки);
ПроцессорКомпоновки = Новый ПроцессорКомпоновкиДанных;
ПроцессорКомпоновки.Инициализировать(МакетКомпоновки, ДанныеОтчета.Таблицы, ДанныеРасшифровки, Истина);
ПроцессорВывода = Новый ПроцессорВыводаРезультатаКомпоновкиДанныхВТабличныйДокумент;
ПроцессорВывода.УстановитьДокумент(ДокументРезультат);
ПроцессорВывода.Вывести(ПроцессорКомпоновки);
КонецЕсли;
Возврат ДокументРезультат;
КонецФункции
#КонецОбласти
#КонецОбласти
#Область ОбработчикиСобытий
Процедура ПриКомпоновкеРезультата(ДокументРезультат, ДанныеРасшифровки, СтандартнаяОбработка)
СтандартнаяОбработка= Ложь;
СформироватьДанныеОтчета(ДанныеРасшифровки, ДокументРезультат);
КонецПроцедуры
#КонецОбласти
#Область СлужебныеПроцедурыИФункции
Процедура УстановитьПараметрыДанных(Настройки, УчетнаяЗапись, ПользовательскиеНастройки = Неопределено)
НастройкиПользователя = СервисКриптографииDSSСлужебный.ПолучитьНастройкиПользователя(УчетнаяЗапись);
ПараметрыДанных = Настройки.ПараметрыДанных;
ПараметрыДанных.УстановитьЗначениеПараметра("НастройкиПользователя", НастройкиПользователя);
КонецПроцедуры
#КонецОбласти
#Иначе
ВызватьИсключение НСтр("ru = 'Недопустимый вызов объекта на клиенте.'");
#КонецЕсли
| 5,197 | ObjectModule | bsl | ru | 1c enterprise | code | {"qsc_code_num_words": 356, "qsc_code_num_chars": 5197.0, "qsc_code_mean_word_length": 11.35674157, "qsc_code_frac_words_unique": 0.53089888, "qsc_code_frac_chars_top_2grams": 0.01607717, "qsc_code_frac_chars_top_3grams": 0.00197873, "qsc_code_frac_chars_top_4grams": 0.0138511, "qsc_code_frac_chars_dupe_5grams": 0.01978729, "qsc_code_frac_chars_dupe_6grams": 0.01978729, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00261495, "qsc_code_frac_chars_whitespace": 0.11699057, "qsc_code_size_file_byte": 5197.0, "qsc_code_num_lines": 143.0, "qsc_code_num_chars_line_max": 116.0, "qsc_code_num_chars_line_mean": 36.34265734, "qsc_code_frac_chars_alphabet": 0.87818697, "qsc_code_frac_chars_comments": 0.97979604, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 1, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1c-syntax/ssl_3_1 | src/cf/Reports/СостояниеУчетнойЗаписиDSS/Ext/ManagerModule.bsl | ///////////////////////////////////////////////////////////////////////////////////////////////////////
// Copyright (c) 2024, ООО 1С-Софт
// Все права защищены. Эта программа и сопроводительные материалы предоставляются
// в соответствии с условиями лицензии Attribution 4.0 International (CC BY 4.0)
// Текст лицензии доступен по ссылке:
// https://creativecommons.org/licenses/by/4.0/legalcode
///////////////////////////////////////////////////////////////////////////////////////////////////////
#Если Сервер Или ТолстыйКлиентОбычноеПриложение Или ВнешнееСоединение Тогда
#Область ПрограммныйИнтерфейс
#Область ДляВызоваИзДругихПодсистем
// СтандартныеПодсистемы.ВариантыОтчетов
// Параметры:
// Настройки - см. ВариантыОтчетовПереопределяемый.НастроитьВариантыОтчетов.Настройки.
// НастройкиОтчета - см. ВариантыОтчетов.ОписаниеОтчета.
//
Процедура НастроитьВариантыОтчета(Настройки, НастройкиОтчета) Экспорт
МодульВариантыОтчетов = ОбщегоНазначения.ОбщийМодуль("ВариантыОтчетов");
МодульВариантыОтчетов.УстановитьРежимВыводаВПанеляхОтчетов(Настройки, НастройкиОтчета, Ложь);
НастройкиОтчета.ОпределитьНастройкиФормы = Истина;
КонецПроцедуры
// См. ВариантыОтчетовПереопределяемый.НастроитьВариантыОтчетов.
Процедура ПриНастройкеВариантовОтчетов(Настройки) Экспорт
МодульВариантыОтчетов = ОбщегоНазначения.ОбщийМодуль("ВариантыОтчетов");
МодульВариантыОтчетов.НастроитьОтчетВМодулеМенеджера(Настройки, Метаданные.Отчеты.СостояниеУчетнойЗаписиDSS);
МодульВариантыОтчетов.ОписаниеОтчета(Настройки, Метаданные.Отчеты.СостояниеУчетнойЗаписиDSS).Включен = Ложь;
КонецПроцедуры
// Конец СтандартныеПодсистемы.ВариантыОтчетов
// Следующие процедуры и функции предназначены для интеграции с 1С-Отчетность
// Формирует данные об активной учетной записи облачной подписи. Данные могут использоваться для формирования отчета
// или технологических данных.
//
// Параметры:
// НастройкиПользователя - см. СервисКриптографииDSS.НастройкиПользователяПоУмолчанию
//
// Возвращаемое значение:
// Структура:
// * Таблицы - Структура:
// ** ОсновныеДанные - ТаблицаЗначений
// ** ПараметрыПодключения - ТаблицаЗначений
// ** СписокОпераций - ТаблицаЗначений
// ** Сертификаты - ТаблицаЗначений
// ** ТипыПодписи - ТаблицаЗначений
// ** УдостоверяющиеЦентры - ТаблицаЗначений
// ** Криптопровайдеры - ТаблицаЗначений
// ** УдостоверяющиеЦентры - ТаблицаЗначений
//
Функция СформироватьДанныеСостоянияУчетнойЗаписи(НастройкиПользователя) Экспорт
ВсеТаблицы = Новый Структура;
Если НастройкиПользователя = Неопределено Тогда
ВсеТаблицы.Вставить("ОсновныеДанные", ТаблицаОсновныеДанные());
ВсеТаблицы.Вставить("ПараметрыПодключения", ТаблицаПараметрыПодключения());
ВсеТаблицы.Вставить("СписокОпераций", ТаблицаСписокОпераций());
ВсеТаблицы.Вставить("Сертификаты", ТаблицаСписокСертификатов());
ВсеТаблицы.Вставить("СерверыШтамповВремени", ТаблицаСерверовШтамповВремени());
ВсеТаблицы.Вставить("ТипыПодписи", ТаблицаСписокТиповПодписи());
ВсеТаблицы.Вставить("УдостоверяющиеЦентры", ТаблицаСписокУдостоверяющихЦентров());
ВсеТаблицы.Вставить("Криптопровайдеры", ТаблицаСписокКриптопровайдеров());
Иначе
ВсеТаблицы.Вставить("ОсновныеДанные", ЗаполнитьОсновныеДанные(НастройкиПользователя));
ВсеТаблицы.Вставить("ПараметрыПодключения", ЗаполнитьПараметрыПодключения(НастройкиПользователя));
ВсеТаблицы.Вставить("СписокОпераций", ЗаполнитьСписокОпераций(НастройкиПользователя));
ВсеТаблицы.Вставить("Сертификаты", ЗаполнитьСписокСертификатов(НастройкиПользователя));
ВсеТаблицы.Вставить("СерверыШтамповВремени", ЗаполнитьСписокСерверовШтамповВремени(НастройкиПользователя));
ВсеТаблицы.Вставить("ТипыПодписи", ЗаполнитьСписокТиповПодписей(НастройкиПользователя));
ВсеТаблицы.Вставить("УдостоверяющиеЦентры", ЗаполнитьСписокУдостоверяющихЦентров(НастройкиПользователя));
ВсеТаблицы.Вставить("Криптопровайдеры", ЗаполнитьСписокКриптопровайдеров(НастройкиПользователя));
КонецЕсли;
Результат = Новый Структура;
Результат.Вставить("Таблицы", ВсеТаблицы);
Возврат Результат;
КонецФункции
#КонецОбласти
#КонецОбласти
#Область СлужебныеПроцедурыИФункции
Функция ПростойТип(Вид, ДлинаОбщая = 0, Знаков = 0)
Результат = Неопределено;
Если Вид = "Строка" Тогда
Результат = Новый ОписаниеТипов("Строка", , Новый КвалификаторыСтроки(ДлинаОбщая));
ИначеЕсли Вид = "Булево" Тогда
Результат = Новый ОписаниеТипов("Булево");
КонецЕсли;
Возврат Результат;
КонецФункции
Функция ПолучитьЗакрытыеДанные(НастройкиПользователя, ОписаниеДанных)
Результат = СервисКриптографииDSSСлужебный.ПолучитьЗакрытыеДанные(НастройкиПользователя.УникальныйИдентификатор, ОписаниеДанных);
Возврат Результат;
КонецФункции
Функция ДобавитьЗаголовок(ТаблицаДанных, ЗаголовокСтроки, ЗначениеСтроки)
Результат = Неопределено;
Если ЗначениеЗаполнено(ЗначениеСтроки) Тогда
Результат = ТаблицаДанных.Добавить();
Результат.Заголовок = ЗаголовокСтроки + ":";
Результат.Значение = СокрЛП(ЗначениеСтроки);
КонецЕсли;
Возврат Результат;
КонецФункции
Функция ТаблицаОсновныеДанные()
ТаблицаДанных = Новый ТаблицаЗначений;
ТаблицаДанных.Колонки.Добавить("Заголовок", ПростойТип("Строка"));
ТаблицаДанных.Колонки.Добавить("Значение", ПростойТип("Строка"));
Возврат ТаблицаДанных;
КонецФункции
Функция ТаблицаПараметрыПодключения()
ТаблицаДанных = Новый ТаблицаЗначений;
ТаблицаДанных.Колонки.Добавить("Заголовок", ПростойТип("Строка"));
ТаблицаДанных.Колонки.Добавить("Значение", ПростойТип("Строка"));
Возврат ТаблицаДанных;
КонецФункции
Функция ТаблицаСписокОпераций()
ТаблицаДанных = Новый ТаблицаЗначений;
ТаблицаДанных.Колонки.Добавить("Имя", ПростойТип("Строка"));
ТаблицаДанных.Колонки.Добавить("Подтверждать", ПростойТип("Строка"));
Возврат ТаблицаДанных;
КонецФункции
Функция ТаблицаСписокСертификатов()
ТаблицаДанных = Новый ТаблицаЗначений;
ТаблицаДанных.Колонки.Добавить("ОбщееИмя", ПростойТип("Строка"));
ТаблицаДанных.Колонки.Добавить("Отпечаток", ПростойТип("Строка"));
ТаблицаДанных.Колонки.Добавить("ДатаНачала", ПростойТип("Дата"));
ТаблицаДанных.Колонки.Добавить("ДатаОкончания", ПростойТип("Дата"));
ТаблицаДанных.Колонки.Добавить("Просрочен", ПростойТип("Булево"));
Возврат ТаблицаДанных;
КонецФункции
Функция ТаблицаСерверовШтамповВремени()
ТаблицаДанных = Новый ТаблицаЗначений;
ТаблицаДанных.Колонки.Добавить("Имя", ПростойТип("Строка"));
ТаблицаДанных.Колонки.Добавить("Адрес", ПростойТип("Строка"));
Возврат ТаблицаДанных;
КонецФункции
Функция ТаблицаСписокТиповПодписи()
ТаблицаДанных = Новый ТаблицаЗначений;
ТаблицаДанных.Колонки.Добавить("Имя", ПростойТип("Строка"));
Возврат ТаблицаДанных;
КонецФункции
Функция ТаблицаСписокУдостоверяющихЦентров()
ТаблицаДанных = Новый ТаблицаЗначений;
ТаблицаДанных.Колонки.Добавить("Имя", ПростойТип("Строка"));
ТаблицаДанных.Колонки.Добавить("Идентификатор", ПростойТип("Строка"));
Возврат ТаблицаДанных;
КонецФункции
Функция ТаблицаСписокКриптопровайдеров()
ТаблицаДанных = Новый ТаблицаЗначений;
ТаблицаДанных.Колонки.Добавить("Имя", ПростойТип("Строка"));
ТаблицаДанных.Колонки.Добавить("Идентификатор", ПростойТип("Строка", 36));
Возврат ТаблицаДанных;
КонецФункции
Функция ЗаполнитьОсновныеДанные(НастройкиПользователя)
ТаблицаДанных = ТаблицаОсновныеДанные();
КодЯзыка = СервисКриптографииDSSСлужебный.КодЯзыка();
СертификатАутентификации = ЗначениеЗаполнено(ПолучитьЗакрытыеДанные(НастройкиПользователя, "СертификатАвторизации"));
ДобавитьЗаголовок(ТаблицаДанных, НСтр("ru = 'Учетная запись'", КодЯзыка), НастройкиПользователя.Ссылка);
ДобавитьЗаголовок(ТаблицаДанных, НСтр("ru = 'Способ авторизации'", КодЯзыка), НастройкиПользователя.ПервичнаяАутентификация);
Если НастройкиПользователя.ПервичнаяАутентификация = Перечисления.СпособыАвторизацииDSS.Первичный_СертификатАвторизации Тогда
ДобавитьЗаголовок(ТаблицаДанных,
НСтр("ru = 'Сертификат авторизации'", КодЯзыка),
?(СертификатАутентификации, НСтр("ru = 'Не указан'", КодЯзыка), НСтр("ru = 'В безопасном хранилище'", КодЯзыка)));
КонецЕсли;
ДобавитьЗаголовок(ТаблицаДанных, НСтр("ru = 'Телефон'", КодЯзыка), СервисКриптографииDSSКлиентСервер.ПредставлениеТелефона(НастройкиПользователя.Телефон));
ДобавитьЗаголовок(ТаблицаДанных, НСтр("ru = 'Электронная почта'", КодЯзыка), СервисКриптографииDSSКлиентСервер.ПредставлениеАдресаПочты(НастройкиПользователя.ЭлектроннаяПочта));
ДобавитьЗаголовок(ТаблицаДанных, НСтр("ru = 'Срок действия маркера'", КодЯзыка), НастройкиПользователя.ТокенАвторизации.СрокДействия);
Возврат ТаблицаДанных;
КонецФункции
Функция ЗаполнитьПараметрыПодключения(НастройкиПользователя)
КодЯзыка = СервисКриптографииDSSСлужебный.КодЯзыка();
ТаблицаДанных = ТаблицаПараметрыПодключения();
Если НЕ СервисКриптографииDSSСлужебный.ПроверитьПраво("ЭкземплярыСервераDSS") Тогда
Возврат ТаблицаДанных;
КонецЕсли;
ТекстЗапроса =
"ВЫБРАТЬ РАЗРЕШЕННЫЕ
| ЭкземплярыСервераDSS.АдресСервера КАК АдресСервера,
| ЭкземплярыСервераDSS.СервисИдентификации КАК СервисИдентификации,
| ЭкземплярыСервераDSS.СервисПодписи КАК СервисПодписи,
| ЭкземплярыСервераDSS.СервисПроверки КАК СервисПроверки,
| ЭкземплярыСервераDSS.СервисАудита КАК СервисАудита,
| ЭкземплярыСервераDSS.СервисОбработкиДокументов КАК СервисОбработкиДокументов,
| ЭкземплярыСервераDSS.ИдентификаторЦИ КАК ИдентификаторЦИ,
| ЭкземплярыСервераDSS.ИдентификаторСЭП КАК ИдентификаторСЭП,
| ЭкземплярыСервераDSS.АдресЛичногоКабинета КАК АдресЛичногоКабинета,
| ЭкземплярыСервераDSS.ТаймАут КАК ТаймАут,
| ЭкземплярыСервераDSS.ВерсияАПИ КАК ВерсияАПИ
|ИЗ
| Справочник.УчетныеЗаписиDSS КАК УчетныеЗаписиDSS
| ВНУТРЕННЕЕ СОЕДИНЕНИЕ Справочник.ЭкземплярыСервераDSS КАК ЭкземплярыСервераDSS
| ПО УчетныеЗаписиDSS.Владелец = ЭкземплярыСервераDSS.Ссылка
|ГДЕ
| УчетныеЗаписиDSS.Ссылка = &УчетнаяЗапись";
Запрос = Новый Запрос(ТекстЗапроса);
Запрос.УстановитьПараметр("УчетнаяЗапись", НастройкиПользователя.Ссылка);
Выборка = Запрос.Выполнить().Выбрать();
Если Выборка.Следующий() Тогда
ДобавитьЗаголовок(ТаблицаДанных, НСтр("ru = 'Сервер'", КодЯзыка), Выборка.АдресСервера);
ДобавитьЗаголовок(ТаблицаДанных, НСтр("ru = 'Сервер ЦИ'", КодЯзыка), Выборка.СервисИдентификации);
ДобавитьЗаголовок(ТаблицаДанных, НСтр("ru = 'Сервер СЭП'", КодЯзыка), Выборка.СервисПодписи);
ДобавитьЗаголовок(ТаблицаДанных, НСтр("ru = 'Сервер проверки'", КодЯзыка), Выборка.СервисПроверки);
Если ЗначениеЗаполнено(Выборка.СервисАудита) Тогда
ДобавитьЗаголовок(ТаблицаДанных, НСтр("ru = 'Сервер аудита'", КодЯзыка), Выборка.СервисАудита);
КонецЕсли;
Если ЗначениеЗаполнено(Выборка.СервисОбработкиДокументов) Тогда
ДобавитьЗаголовок(ТаблицаДанных, НСтр("ru = 'Сервер обработки документов'", КодЯзыка), Выборка.СервисОбработкиДокументов);
КонецЕсли;
ДобавитьЗаголовок(ТаблицаДанных, НСтр("ru = 'Идентификатор ЦИ'", КодЯзыка), Выборка.ИдентификаторЦИ);
ДобавитьЗаголовок(ТаблицаДанных, НСтр("ru = 'Идентификатор СЭП'", КодЯзыка), Выборка.ИдентификаторСЭП);
ДобавитьЗаголовок(ТаблицаДанных, НСтр("ru = 'Личный кабинет'", КодЯзыка), Выборка.АдресЛичногоКабинета);
ДобавитьЗаголовок(ТаблицаДанных, НСтр("ru = 'Тайм-аут'", КодЯзыка), Выборка.ТаймАут);
ДобавитьЗаголовок(ТаблицаДанных, НСтр("ru = 'Версия АПИ'", КодЯзыка), Выборка.ВерсияАПИ);
КонецЕсли;
Возврат ТаблицаДанных;
КонецФункции
Функция ЗаполнитьСписокОпераций(НастройкиПользователя)
КодЯзыка = СервисКриптографииDSSСлужебный.КодЯзыка();
// "ru = 'Список подтверждаемых операций'"
ТаблицаДанных = ТаблицаСписокОпераций();
ПредставлениеОперации = Новый Соответствие();
ПредставлениеОперации.Вставить("ВыпускМаркера", НСтр("ru = 'Выпуск маркера'", КодЯзыка));
ПредставлениеОперации.Вставить("ПодписьДокумента", НСтр("ru = 'Подпись документа'", КодЯзыка));
ПредставлениеОперации.Вставить("ПодписьПакета", НСтр("ru = 'Подпись пакета документов'", КодЯзыка));
ПредставлениеОперации.Вставить("Расшифрование", НСтр("ru = 'Расшифрование'", КодЯзыка));
ПредставлениеОперации.Вставить("ЗапросНаСертификат", НСтр("ru = 'Формирование запроса на сертификат'", КодЯзыка));
ПредставлениеОперации.Вставить("СменаПинКода", НСтр("ru = 'Смена пин-кода к закрытому ключу'", КодЯзыка));
ПредставлениеОперации.Вставить("ОбновлениеСертификата", НСтр("ru = 'Обновление сертификата'", КодЯзыка));
ПредставлениеОперации.Вставить("ОтзывСертификата", НСтр("ru = 'Отзыв сертификата'", КодЯзыка));
ПредставлениеОперации.Вставить("ПриостановкаСертификата", НСтр("ru = 'Приостановка сертификата'", КодЯзыка));
ПредставлениеОперации.Вставить("ВосстановлениеСертификата", НСтр("ru = 'Восстановление сертификата'", КодЯзыка));
ПредставлениеОперации.Вставить("УдалениеСертификата", НСтр("ru = 'Удаление сертификата'", КодЯзыка));
ПредставлениеОперации.Вставить("ДоступККлючу", НСтр("ru = 'Доступ к ключу'", КодЯзыка));
ВесьСписок = НастройкиПользователя.Политика.Действия;
Для Каждого СтрокаКлюча Из ВесьСписок Цикл
НоваяСтрока = ТаблицаДанных.Добавить();
НоваяСтрока.Имя = ПредставлениеОперации[СтрокаКлюча.Ключ];
НоваяСтрока.Подтверждать = ?(СтрокаКлюча.Значение.Подтверждать, НСтр("ru = 'Подтверждать'", КодЯзыка), "");
КонецЦикла;
Возврат ТаблицаДанных;
КонецФункции
Функция ЗаполнитьСписокСертификатов(НастройкиПользователя)
ТаблицаДанных = ТаблицаСписокСертификатов();
ВесьСписок = НастройкиПользователя.Сертификаты;
РабочаяДата = ТекущаяДатаСеанса();
Для Каждого СтрокаКлюча Из ВесьСписок Цикл
Сертификат = СтрокаКлюча.Значение;
НоваяСтрока = ТаблицаДанных.Добавить();
НоваяСтрока.ОбщееИмя = Сертификат.Представление;
НоваяСтрока.Отпечаток = Сертификат.Отпечаток;
НоваяСтрока.ДатаНачала = Сертификат.ДатаНачала;
НоваяСтрока.ДатаОкончания = Сертификат.ДатаОкончания;
НоваяСтрока.Просрочен = РабочаяДата > Сертификат.ДатаОкончания;
КонецЦикла;
Возврат ТаблицаДанных;
КонецФункции
Функция ЗаполнитьСписокСерверовШтамповВремени(НастройкиПользователя)
ТаблицаДанных = ТаблицаСерверовШтамповВремени();
ВесьСписок = НастройкиПользователя.Политика.СервераШтамповВремени;
Для Каждого СтрокаМассива Из ВесьСписок Цикл
НоваяСтрока = ТаблицаДанных.Добавить();
НоваяСтрока.Имя = СтрокаМассива.Имя;
НоваяСтрока.Адрес = СтрокаМассива.Адрес;
КонецЦикла;
Возврат ТаблицаДанных;
КонецФункции
Функция ЗаполнитьСписокТиповПодписей(НастройкиПользователя)
ТаблицаДанных = ТаблицаСписокТиповПодписи();
ВсеТипы = СервисКриптографииDSSКлиентСервер.ПолучитьТипыПодписей();
ВесьСписок = НастройкиПользователя.Политика.ТипыПодписей;
Для Каждого СтрокаМассива Из ВесьСписок Цикл
НоваяСтрока = ТаблицаДанных.Добавить();
НоваяСтрока.Имя = ВсеТипы[СтрокаМассива];
КонецЦикла;
Возврат ТаблицаДанных;
КонецФункции
// Формирует таблицу УЦ
//
// Параметры:
// НастройкиПользователя - см. СервисКриптографииDSS.НастройкиПользователяПоУмолчанию
//
Функция ЗаполнитьСписокУдостоверяющихЦентров(НастройкиПользователя)
ТаблицаДанных = ТаблицаСписокУдостоверяющихЦентров();
ВесьСписок = НастройкиПользователя.Политика.УЦ;
Для Каждого СтрокаКлюча Из ВесьСписок Цикл
НоваяСтрока = ТаблицаДанных.Добавить();
НоваяСтрока.Имя = СтрокаКлюча.Имя;
НоваяСтрока.Идентификатор = СтрокаКлюча.Идентификатор;
КонецЦикла;
Возврат ТаблицаДанных;
КонецФункции
Функция ЗаполнитьСписокКриптопровайдеров(НастройкиПользователя)
ТаблицаДанных = ТаблицаСписокКриптопровайдеров();
ВесьСписок = НастройкиПользователя.Политика.Криптопровайдеры;
Для Каждого СтрокаКлюча Из ВесьСписок Цикл
НоваяСтрока = ТаблицаДанных.Добавить();
НоваяСтрока.Имя = СтрокаКлюча.Описание;
НоваяСтрока.Идентификатор = СтрокаКлюча.Идентификатор;
КонецЦикла;
Возврат ТаблицаДанных;
КонецФункции
#КонецОбласти
#КонецЕсли | 15,711 | ManagerModule | bsl | ru | 1c enterprise | code | {"qsc_code_num_words": 1142, "qsc_code_num_chars": 15711.0, "qsc_code_mean_word_length": 10.94658494, "qsc_code_frac_words_unique": 0.26269702, "qsc_code_frac_chars_top_2grams": 0.01535877, "qsc_code_frac_chars_top_3grams": 0.04031677, "qsc_code_frac_chars_top_4grams": 0.04895608, "qsc_code_frac_chars_dupe_5grams": 0.24454044, "qsc_code_frac_chars_dupe_6grams": 0.17230622, "qsc_code_frac_chars_dupe_7grams": 0.12359011, "qsc_code_frac_chars_dupe_8grams": 0.12359011, "qsc_code_frac_chars_dupe_9grams": 0.10919126, "qsc_code_frac_chars_dupe_10grams": 0.10279178, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00112899, "qsc_code_frac_chars_whitespace": 0.09795685, "qsc_code_size_file_byte": 15711.0, "qsc_code_num_lines": 419.0, "qsc_code_num_chars_line_max": 179.0, "qsc_code_num_chars_line_mean": 37.49642005, "qsc_code_frac_chars_alphabet": 0.8808919, "qsc_code_frac_chars_comments": 0.99331678, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 1, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/blockUI/jquery.blockUI.js | /*!
* jQuery blockUI plugin
* Version 2.70.0-2014.11.23
* Requires jQuery v1.7 or later
*
* Examples at: http://malsup.com/jquery/block/
* Copyright (c) 2007-2013 M. Alsup
* Dual licensed under the MIT and GPL licenses:
* http://www.opensource.org/licenses/mit-license.php
* http://www.gnu.org/licenses/gpl.html
*
* Thanks to Amir-Hossein Sobhi for some excellent contributions!
*/
;(function() {
/*jshint eqeqeq:false curly:false latedef:false */
"use strict";
function setup($) {
$.fn._fadeIn = $.fn.fadeIn;
var noOp = $.noop || function() {};
// this bit is to ensure we don't call setExpression when we shouldn't (with extra muscle to handle
// confusing userAgent strings on Vista)
var msie = /MSIE/.test(navigator.userAgent);
var ie6 = /MSIE 6.0/.test(navigator.userAgent) && ! /MSIE 8.0/.test(navigator.userAgent);
var mode = document.documentMode || 0;
var setExpr = $.isFunction( document.createElement('div').style.setExpression );
// global $ methods for blocking/unblocking the entire page
$.blockUI = function(opts) { install(window, opts); };
$.unblockUI = function(opts) { remove(window, opts); };
// convenience method for quick growl-like notifications (http://www.google.com/search?q=growl)
$.growlUI = function(title, message, timeout, onClose) {
var $m = $('<div class="growlUI"></div>');
if (title) $m.append('<h1>'+title+'</h1>');
if (message) $m.append('<h2>'+message+'</h2>');
if (timeout === undefined) timeout = 3000;
// Added by konapun: Set timeout to 30 seconds if this growl is moused over, like normal toast notifications
var callBlock = function(opts) {
opts = opts || {};
$.blockUI({
message: $m,
fadeIn : typeof opts.fadeIn !== 'undefined' ? opts.fadeIn : 700,
fadeOut: typeof opts.fadeOut !== 'undefined' ? opts.fadeOut : 1000,
timeout: typeof opts.timeout !== 'undefined' ? opts.timeout : timeout,
centerY: false,
showOverlay: false,
onUnblock: onClose,
css: $.blockUI.defaults.growlCSS
});
};
callBlock();
var nonmousedOpacity = $m.css('opacity');
$m.mouseover(function() {
callBlock({
fadeIn: 0,
timeout: 30000
});
var displayBlock = $('.blockMsg');
displayBlock.stop(); // cancel fadeout if it has started
displayBlock.fadeTo(300, 1); // make it easier to read the message by removing transparency
}).mouseout(function() {
$('.blockMsg').fadeOut(1000);
});
// End konapun additions
};
// plugin method for blocking element content
$.fn.block = function(opts) {
if ( this[0] === window ) {
$.blockUI( opts );
return this;
}
var fullOpts = $.extend({}, $.blockUI.defaults, opts || {});
this.each(function() {
var $el = $(this);
if (fullOpts.ignoreIfBlocked && $el.data('blockUI.isBlocked'))
return;
$el.unblock({ fadeOut: 0 });
});
return this.each(function() {
if ($.css(this,'position') == 'static') {
this.style.position = 'relative';
$(this).data('blockUI.static', true);
}
this.style.zoom = 1; // force 'hasLayout' in ie
install(this, opts);
});
};
// plugin method for unblocking element content
$.fn.unblock = function(opts) {
if ( this[0] === window ) {
$.unblockUI( opts );
return this;
}
return this.each(function() {
remove(this, opts);
});
};
$.blockUI.version = 2.70; // 2nd generation blocking at no extra cost!
// override these in your code to change the default behavior and style
$.blockUI.defaults = {
// message displayed when blocking (use null for no message)
message: '<div class="loaderbox"><div class="loading-activity"></div> 加载中......</div>',
title: null, // title string; only used when theme == true
draggable: true, // only used when theme == true (requires jquery-ui.js to be loaded)
theme: false, // set to true to use with jQuery UI themes
// styles for the message when blocking; if you wish to disable
// these and use an external stylesheet then do this in your code:
// $.blockUI.defaults.css = {};
css: {
padding: 0,
margin: 0,
width: '30%',
top: '40%',
left: '35%',
textAlign: 'center',
color: '#000',
border: '0px',
backgroundColor:'transparent',
cursor: 'wait'
},
// minimal style set used when themes are used
themedCSS: {
width: '30%',
top: '40%',
left: '35%'
},
// styles for the overlay
overlayCSS: {
backgroundColor: '#000',
opacity: 0.6,
cursor: 'wait'
},
// style to replace wait cursor before unblocking to correct issue
// of lingering wait cursor
cursorReset: 'default',
// styles applied when using $.growlUI
growlCSS: {
width: '350px',
top: '10px',
left: '',
right: '10px',
border: 'none',
padding: '5px',
opacity: 0.6,
cursor: 'default',
color: '#fff',
backgroundColor: '#000',
'-webkit-border-radius':'10px',
'-moz-border-radius': '10px',
'border-radius': '10px'
},
// IE issues: 'about:blank' fails on HTTPS and javascript:false is s-l-o-w
// (hat tip to Jorge H. N. de Vasconcelos)
/*jshint scripturl:true */
iframeSrc: /^https/i.test(window.location.href || '') ? 'javascript:false' : 'about:blank',
// force usage of iframe in non-IE browsers (handy for blocking applets)
forceIframe: false,
// z-index for the blocking overlay
baseZ: 1000,
// set these to true to have the message automatically centered
centerX: true, // <-- only effects element blocking (page block controlled via css above)
centerY: true,
// allow body element to be stetched in ie6; this makes blocking look better
// on "short" pages. disable if you wish to prevent changes to the body height
allowBodyStretch: true,
// enable if you want key and mouse events to be disabled for content that is blocked
bindEvents: true,
// be default blockUI will supress tab navigation from leaving blocking content
// (if bindEvents is true)
constrainTabKey: true,
// fadeIn time in millis; set to 0 to disable fadeIn on block
fadeIn: 200,
// fadeOut time in millis; set to 0 to disable fadeOut on unblock
fadeOut: 400,
// time in millis to wait before auto-unblocking; set to 0 to disable auto-unblock
timeout: 0,
// disable if you don't want to show the overlay
showOverlay: true,
// if true, focus will be placed in the first available input field when
// page blocking
focusInput: true,
// elements that can receive focus
focusableElements: ':input:enabled:visible',
// suppresses the use of overlay styles on FF/Linux (due to performance issues with opacity)
// no longer needed in 2012
// applyPlatformOpacityRules: true,
// callback method invoked when fadeIn has completed and blocking message is visible
onBlock: null,
// callback method invoked when unblocking has completed; the callback is
// passed the element that has been unblocked (which is the window object for page
// blocks) and the options that were passed to the unblock call:
// onUnblock(element, options)
onUnblock: null,
// callback method invoked when the overlay area is clicked.
// setting this will turn the cursor to a pointer, otherwise cursor defined in overlayCss will be used.
onOverlayClick: null,
// don't ask; if you really must know: http://groups.google.com/group/jquery-en/browse_thread/thread/36640a8730503595/2f6a79a77a78e493#2f6a79a77a78e493
quirksmodeOffsetHack: 4,
// class name of the message block
blockMsgClass: 'blockMsg',
// if it is already blocked, then ignore it (don't unblock and reblock)
ignoreIfBlocked: false
};
// private data and functions follow...
var pageBlock = null;
var pageBlockEls = [];
function install(el, opts) {
var css, themedCSS;
var full = (el == window);
var msg = (opts && opts.message !== undefined ? opts.message : undefined);
opts = $.extend({}, $.blockUI.defaults, opts || {});
if (opts.ignoreIfBlocked && $(el).data('blockUI.isBlocked'))
return;
opts.overlayCSS = $.extend({}, $.blockUI.defaults.overlayCSS, opts.overlayCSS || {});
css = $.extend({}, $.blockUI.defaults.css, opts.css || {});
if (opts.onOverlayClick)
opts.overlayCSS.cursor = 'pointer';
themedCSS = $.extend({}, $.blockUI.defaults.themedCSS, opts.themedCSS || {});
msg = msg === undefined ? opts.message : msg;
// remove the current block (if there is one)
if (full && pageBlock)
remove(window, {fadeOut:0});
// if an existing element is being used as the blocking content then we capture
// its current place in the DOM (and current display style) so we can restore
// it when we unblock
if (msg && typeof msg != 'string' && (msg.parentNode || msg.jquery)) {
var node = msg.jquery ? msg[0] : msg;
var data = {};
$(el).data('blockUI.history', data);
data.el = node;
data.parent = node.parentNode;
data.display = node.style.display;
data.position = node.style.position;
if (data.parent)
data.parent.removeChild(node);
}
$(el).data('blockUI.onUnblock', opts.onUnblock);
var z = opts.baseZ;
// blockUI uses 3 layers for blocking, for simplicity they are all used on every platform;
// layer1 is the iframe layer which is used to supress bleed through of underlying content
// layer2 is the overlay layer which has opacity and a wait cursor (by default)
// layer3 is the message content that is displayed while blocking
var lyr1, lyr2, lyr3, s;
if (msie || opts.forceIframe)
lyr1 = $('<iframe class="blockUI" style="z-index:'+ (z++) +';display:none;border:none;margin:0;padding:0;position:absolute;width:100%;height:100%;top:0;left:0" src="'+opts.iframeSrc+'"></iframe>');
else
lyr1 = $('<div class="blockUI" style="display:none"></div>');
if (opts.theme)
lyr2 = $('<div class="blockUI blockOverlay ui-widget-overlay" style="z-index:'+ (z++) +';display:none"></div>');
else
lyr2 = $('<div class="blockUI blockOverlay" style="z-index:'+ (z++) +';display:none;border:none;margin:0;padding:0;width:100%;height:100%;top:0;left:0"></div>');
if (opts.theme && full) {
s = '<div class="blockUI ' + opts.blockMsgClass + ' blockPage ui-dialog ui-widget ui-corner-all" style="z-index:'+(z+10)+';display:none;position:fixed">';
if ( opts.title ) {
s += '<div class="ui-widget-header ui-dialog-titlebar ui-corner-all blockTitle">'+(opts.title || ' ')+'</div>';
}
s += '<div class="ui-widget-content ui-dialog-content"></div>';
s += '</div>';
}
else if (opts.theme) {
s = '<div class="blockUI ' + opts.blockMsgClass + ' blockElement ui-dialog ui-widget ui-corner-all" style="z-index:'+(z+10)+';display:none;position:absolute">';
if ( opts.title ) {
s += '<div class="ui-widget-header ui-dialog-titlebar ui-corner-all blockTitle">'+(opts.title || ' ')+'</div>';
}
s += '<div class="ui-widget-content ui-dialog-content"></div>';
s += '</div>';
}
else if (full) {
s = '<div class="blockUI ' + opts.blockMsgClass + ' blockPage" style="z-index:'+(z+10)+';display:none;position:fixed"></div>';
}
else {
s = '<div class="blockUI ' + opts.blockMsgClass + ' blockElement" style="z-index:'+(z+10)+';display:none;position:absolute"></div>';
}
lyr3 = $(s);
// if we have a message, style it
if (msg) {
if (opts.theme) {
lyr3.css(themedCSS);
lyr3.addClass('ui-widget-content');
}
else
lyr3.css(css);
}
// style the overlay
if (!opts.theme /*&& (!opts.applyPlatformOpacityRules)*/)
lyr2.css(opts.overlayCSS);
lyr2.css('position', full ? 'fixed' : 'absolute');
// make iframe layer transparent in IE
if (msie || opts.forceIframe)
lyr1.css('opacity',0.0);
//$([lyr1[0],lyr2[0],lyr3[0]]).appendTo(full ? 'body' : el);
var layers = [lyr1,lyr2,lyr3], $par = full ? $('body') : $(el);
$.each(layers, function() {
this.appendTo($par);
});
if (opts.theme && opts.draggable && $.fn.draggable) {
lyr3.draggable({
handle: '.ui-dialog-titlebar',
cancel: 'li'
});
}
// ie7 must use absolute positioning in quirks mode and to account for activex issues (when scrolling)
var expr = setExpr && (!$.support.boxModel || $('object,embed', full ? null : el).length > 0);
if (ie6 || expr) {
// give body 100% height
if (full && opts.allowBodyStretch && $.support.boxModel)
$('html,body').css('height','100%');
// fix ie6 issue when blocked element has a border width
if ((ie6 || !$.support.boxModel) && !full) {
var t = sz(el,'borderTopWidth'), l = sz(el,'borderLeftWidth');
var fixT = t ? '(0 - '+t+')' : 0;
var fixL = l ? '(0 - '+l+')' : 0;
}
// simulate fixed position
$.each(layers, function(i,o) {
var s = o[0].style;
s.position = 'absolute';
if (i < 2) {
if (full)
s.setExpression('height','Math.max(document.body.scrollHeight, document.body.offsetHeight) - (jQuery.support.boxModel?0:'+opts.quirksmodeOffsetHack+') + "px"');
else
s.setExpression('height','this.parentNode.offsetHeight + "px"');
if (full)
s.setExpression('width','jQuery.support.boxModel && document.documentElement.clientWidth || document.body.clientWidth + "px"');
else
s.setExpression('width','this.parentNode.offsetWidth + "px"');
if (fixL) s.setExpression('left', fixL);
if (fixT) s.setExpression('top', fixT);
}
else if (opts.centerY) {
if (full) s.setExpression('top','(document.documentElement.clientHeight || document.body.clientHeight) / 2 - (this.offsetHeight / 2) + (blah = document.documentElement.scrollTop ? document.documentElement.scrollTop : document.body.scrollTop) + "px"');
s.marginTop = 0;
}
else if (!opts.centerY && full) {
var top = (opts.css && opts.css.top) ? parseInt(opts.css.top, 10) : 0;
var expression = '((document.documentElement.scrollTop ? document.documentElement.scrollTop : document.body.scrollTop) + '+top+') + "px"';
s.setExpression('top',expression);
}
});
}
// show the message
if (msg) {
if (opts.theme)
lyr3.find('.ui-widget-content').append(msg);
else
lyr3.append(msg);
if (msg.jquery || msg.nodeType)
$(msg).show();
}
if ((msie || opts.forceIframe) && opts.showOverlay)
lyr1.show(); // opacity is zero
if (opts.fadeIn) {
var cb = opts.onBlock ? opts.onBlock : noOp;
var cb1 = (opts.showOverlay && !msg) ? cb : noOp;
var cb2 = msg ? cb : noOp;
if (opts.showOverlay)
lyr2._fadeIn(opts.fadeIn, cb1);
if (msg)
lyr3._fadeIn(opts.fadeIn, cb2);
}
else {
if (opts.showOverlay)
lyr2.show();
if (msg)
lyr3.show();
if (opts.onBlock)
opts.onBlock.bind(lyr3)();
}
// bind key and mouse events
bind(1, el, opts);
if (full) {
pageBlock = lyr3[0];
pageBlockEls = $(opts.focusableElements,pageBlock);
if (opts.focusInput)
setTimeout(focus, 20);
}
else
center(lyr3[0], opts.centerX, opts.centerY);
if (opts.timeout) {
// auto-unblock
var to = setTimeout(function() {
if (full)
$.unblockUI(opts);
else
$(el).unblock(opts);
}, opts.timeout);
$(el).data('blockUI.timeout', to);
}
}
// remove the block
function remove(el, opts) {
var count;
var full = (el == window);
var $el = $(el);
var data = $el.data('blockUI.history');
var to = $el.data('blockUI.timeout');
if (to) {
clearTimeout(to);
$el.removeData('blockUI.timeout');
}
opts = $.extend({}, $.blockUI.defaults, opts || {});
bind(0, el, opts); // unbind events
if (opts.onUnblock === null) {
opts.onUnblock = $el.data('blockUI.onUnblock');
$el.removeData('blockUI.onUnblock');
}
var els;
if (full) // crazy selector to handle odd field errors in ie6/7
els = $('body').children().filter('.blockUI').add('body > .blockUI');
else
els = $el.find('>.blockUI');
// fix cursor issue
if ( opts.cursorReset ) {
if ( els.length > 1 )
els[1].style.cursor = opts.cursorReset;
if ( els.length > 2 )
els[2].style.cursor = opts.cursorReset;
}
if (full)
pageBlock = pageBlockEls = null;
if (opts.fadeOut) {
count = els.length;
els.stop().fadeOut(opts.fadeOut, function() {
if ( --count === 0)
reset(els,data,opts,el);
});
}
else
reset(els, data, opts, el);
}
// move blocking element back into the DOM where it started
function reset(els,data,opts,el) {
var $el = $(el);
if ( $el.data('blockUI.isBlocked') )
return;
els.each(function(i,o) {
// remove via DOM calls so we don't lose event handlers
if (this.parentNode)
this.parentNode.removeChild(this);
});
if (data && data.el) {
data.el.style.display = data.display;
data.el.style.position = data.position;
data.el.style.cursor = 'default'; // #59
if (data.parent)
data.parent.appendChild(data.el);
$el.removeData('blockUI.history');
}
if ($el.data('blockUI.static')) {
$el.css('position', 'static'); // #22
}
if (typeof opts.onUnblock == 'function')
opts.onUnblock(el,opts);
// fix issue in Safari 6 where block artifacts remain until reflow
var body = $(document.body), w = body.width(), cssW = body[0].style.width;
body.width(w-1).width(w);
body[0].style.width = cssW;
}
// bind/unbind the handler
function bind(b, el, opts) {
var full = el == window, $el = $(el);
// don't bother unbinding if there is nothing to unbind
if (!b && (full && !pageBlock || !full && !$el.data('blockUI.isBlocked')))
return;
$el.data('blockUI.isBlocked', b);
// don't bind events when overlay is not in use or if bindEvents is false
if (!full || !opts.bindEvents || (b && !opts.showOverlay))
return;
// bind anchors and inputs for mouse and key events
var events = 'mousedown mouseup keydown keypress keyup touchstart touchend touchmove';
if (b)
$(document).bind(events, opts, handler);
else
$(document).unbind(events, handler);
// former impl...
// var $e = $('a,:input');
// b ? $e.bind(events, opts, handler) : $e.unbind(events, handler);
}
// event handler to suppress keyboard/mouse events when blocking
function handler(e) {
// allow tab navigation (conditionally)
if (e.type === 'keydown' && e.keyCode && e.keyCode == 9) {
if (pageBlock && e.data.constrainTabKey) {
var els = pageBlockEls;
var fwd = !e.shiftKey && e.target === els[els.length-1];
var back = e.shiftKey && e.target === els[0];
if (fwd || back) {
setTimeout(function(){focus(back);},10);
return false;
}
}
}
var opts = e.data;
var target = $(e.target);
if (target.hasClass('blockOverlay') && opts.onOverlayClick)
opts.onOverlayClick(e);
// allow events within the message content
if (target.parents('div.' + opts.blockMsgClass).length > 0)
return true;
// allow events for content that is not being blocked
return target.parents().children().filter('div.blockUI').length === 0;
}
function focus(back) {
if (!pageBlockEls)
return;
var e = pageBlockEls[back===true ? pageBlockEls.length-1 : 0];
if (e)
e.focus();
}
function center(el, x, y) {
var p = el.parentNode, s = el.style;
var l = ((p.offsetWidth - el.offsetWidth)/2) - sz(p,'borderLeftWidth');
var t = ((p.offsetHeight - el.offsetHeight)/2) - sz(p,'borderTopWidth');
if (x) s.left = l > 0 ? (l+'px') : '0';
if (y) s.top = t > 0 ? (t+'px') : '0';
}
function sz(el, p) {
return parseInt($.css(el,p),10)||0;
}
}
/*global define:true */
if (typeof define === 'function' && define.amd && define.amd.jQuery) {
define(['jquery'], setup);
} else {
setup(jQuery);
}
})(); | 20,014 | jquery.blockUI | js | en | javascript | code | {"qsc_code_num_words": 2557, "qsc_code_num_chars": 20014.0, "qsc_code_mean_word_length": 4.87446226, "qsc_code_frac_words_unique": 0.22565506, "qsc_code_frac_chars_top_2grams": 0.0105905, "qsc_code_frac_chars_top_3grams": 0.01251605, "qsc_code_frac_chars_top_4grams": 0.00673941, "qsc_code_frac_chars_dupe_5grams": 0.1557285, "qsc_code_frac_chars_dupe_6grams": 0.1095154, "qsc_code_frac_chars_dupe_7grams": 0.08376123, "qsc_code_frac_chars_dupe_8grams": 0.07654044, "qsc_code_frac_chars_dupe_9grams": 0.06065469, "qsc_code_frac_chars_dupe_10grams": 0.03963415, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01929445, "qsc_code_frac_chars_whitespace": 0.21534926, "qsc_code_size_file_byte": 20014.0, "qsc_code_num_lines": 620.0, "qsc_code_num_chars_line_max": 258.0, "qsc_code_num_chars_line_mean": 32.28064516, "qsc_code_frac_chars_alphabet": 0.77432501, "qsc_code_frac_chars_comments": 0.28445088, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.20235294, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.01647059, "qsc_code_frac_chars_string_length": 0.1976119, "qsc_code_frac_chars_long_word_length": 0.07785769, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codejavascript_cate_ast": 1.0, "qsc_codejavascript_cate_var_zero": 0.0, "qsc_codejavascript_frac_lines_func_ratio": 0.02352941, "qsc_codejavascript_num_statement_line": 0.00470588, "qsc_codejavascript_score_lines_no_logic": 0.06823529, "qsc_codejavascript_frac_words_legal_var_name": 1.0, "qsc_codejavascript_frac_words_legal_func_name": 1.0, "qsc_codejavascript_frac_words_legal_class_name": null, "qsc_codejavascript_frac_lines_print": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codejavascript_cate_ast": 0, "qsc_codejavascript_cate_var_zero": 0, "qsc_codejavascript_frac_lines_func_ratio": 0, "qsc_codejavascript_score_lines_no_logic": 0, "qsc_codejavascript_frac_lines_print": 0} |
1y33/100Days | day58/layer_norm.cpp | #include <hip/hip_runtime.h>
__global__ void layer_norm_kernel(
float* output,
const float* input,
const float* gamma,
const float* beta,
int batch_size,
int hidden_size,
float epsilon)
{
extern __shared__ float shared[];
int batch_idx = blockIdx.x;
int tid = threadIdx.x;
if (batch_idx >= batch_size) return;
float* sum = shared;
float* sum_sq = &shared[blockDim.x];
float thread_sum = 0.0f;
for (int i = tid; i < hidden_size; i += blockDim.x) {
float val = input[batch_idx * hidden_size + i];
thread_sum += val;
}
sum[tid] = thread_sum;
__syncthreads();
for (int stride = blockDim.x / 2; stride > 0; stride >>= 1) {
if (tid < stride) {
sum[tid] += sum[tid + stride];
}
__syncthreads();
}
float mean = sum[0] / hidden_size;
float thread_sum_sq = 0.0f;
for (int i = tid; i < hidden_size; i += blockDim.x) {
float val = input[batch_idx * hidden_size + i];
float diff = val - mean;
thread_sum_sq += diff * diff;
}
sum_sq[tid] = thread_sum_sq;
__syncthreads();
for (int stride = blockDim.x / 2; stride > 0; stride >>= 1) {
if (tid < stride) {
sum_sq[tid] += sum_sq[tid + stride];
}
__syncthreads();
}
float variance = sum_sq[0] / hidden_size + epsilon;
float inv_std = rsqrtf(variance);
for (int i = tid; i < hidden_size; i += blockDim.x) {
float val = input[batch_idx * hidden_size + i];
float normalized = (val - mean) * inv_std;
output[batch_idx * hidden_size + i] = normalized * gamma[i] + beta[i];
}
}
void layer_norm_hip(
float* output,
const float* input,
const float* gamma,
const float* beta,
int batch_size,
int hidden_size,
float epsilon,
hipStream_t stream)
{
dim3 blocks(batch_size);
dim3 threads(256);
size_t shared_mem = 2 * threads.x * sizeof(float);
hipLaunchKernelGGL(
layer_norm_kernel,
blocks, threads, shared_mem, stream,
output, input, gamma, beta,
batch_size, hidden_size, epsilon
);
} | 2,163 | layer_norm | cpp | en | cpp | code | {"qsc_code_num_words": 282, "qsc_code_num_chars": 2163.0, "qsc_code_mean_word_length": 4.25886525, "qsc_code_frac_words_unique": 0.20921986, "qsc_code_frac_chars_top_2grams": 0.09991674, "qsc_code_frac_chars_top_3grams": 0.06411324, "qsc_code_frac_chars_top_4grams": 0.05995004, "qsc_code_frac_chars_dupe_5grams": 0.44129892, "qsc_code_frac_chars_dupe_6grams": 0.42547877, "qsc_code_frac_chars_dupe_7grams": 0.42547877, "qsc_code_frac_chars_dupe_8grams": 0.42547877, "qsc_code_frac_chars_dupe_9grams": 0.42547877, "qsc_code_frac_chars_dupe_10grams": 0.42547877, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01181102, "qsc_code_frac_chars_whitespace": 0.29542302, "qsc_code_size_file_byte": 2163.0, "qsc_code_num_lines": 82.0, "qsc_code_num_chars_line_max": 79.0, "qsc_code_num_chars_line_mean": 26.37804878, "qsc_code_frac_chars_alphabet": 0.77624672, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.36111111, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codecpp_frac_lines_preprocessor_directives": 0.01388889, "qsc_codecpp_frac_lines_func_ratio": 0.06944444, "qsc_codecpp_cate_bitsstdc": 0.0, "qsc_codecpp_nums_lines_main": 0.0, "qsc_codecpp_frac_lines_goto": 0.0, "qsc_codecpp_cate_var_zero": 0.0, "qsc_codecpp_score_lines_no_logic": 0.08333333, "qsc_codecpp_frac_lines_print": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecpp_frac_lines_func_ratio": 0, "qsc_codecpp_nums_lines_main": 0, "qsc_codecpp_score_lines_no_logic": 0, "qsc_codecpp_frac_lines_preprocessor_directives": 0, "qsc_codecpp_frac_lines_print": 0} |
1x-technologies/1xgpt | magvit2/modules/losses/vqperceptual.py | """
Modified Open-MAGVIT2 code to use VQConfig.
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
from magvit2.config import VQConfig
from magvit2.modules.losses.lpips import LPIPS
from magvit2.modules.discriminator.model import NLayerDiscriminator, weights_init
class DummyLoss(nn.Module):
def __init__(self):
super().__init__()
def adopt_weight(weight, global_step, threshold=0, value=0.):
if global_step < threshold:
weight = value
return weight
def hinge_d_loss(logits_real, logits_fake):
loss_real = torch.mean(F.relu(1. - logits_real))
loss_fake = torch.mean(F.relu(1. + logits_fake))
d_loss = 0.5 * (loss_real + loss_fake)
return d_loss
def vanilla_d_loss(logits_real, logits_fake):
d_loss = 0.5 * (
torch.mean(torch.nn.functional.softplus(-logits_real)) +
torch.mean(torch.nn.functional.softplus(logits_fake)))
return d_loss
def _sigmoid_cross_entropy_with_logits(labels, logits):
"""
non-saturating loss
"""
zeros = torch.zeros_like(logits, dtype=logits.dtype)
condition = (logits >= zeros)
relu_logits = torch.where(condition, logits, zeros)
neg_abs_logits = torch.where(condition, -logits, logits)
return relu_logits - logits * labels + torch.log1p(torch.exp(neg_abs_logits))
def non_saturate_gen_loss(logits_fake):
"""
logits_fake: [B 1 H W]
"""
B, _, _, _ = logits_fake.shape
logits_fake = logits_fake.reshape(B, -1)
logits_fake = torch.mean(logits_fake, dim=-1)
gen_loss = torch.mean(_sigmoid_cross_entropy_with_logits(
labels = torch.ones_like(logits_fake), logits=logits_fake
))
return gen_loss
def non_saturate_discriminator_loss(logits_real, logits_fake):
B, _, _, _ = logits_fake.shape
logits_real = logits_fake.reshape(B, -1)
logits_fake = logits_fake.reshape(B, -1)
logits_fake = logits_fake.mean(dim=-1)
logits_real = logits_real.mean(dim=-1)
real_loss = _sigmoid_cross_entropy_with_logits(
labels=torch.ones_like(logits_real), logits=logits_real)
fake_loss = _sigmoid_cross_entropy_with_logits(
labels= torch.zeros_like(logits_fake), logits=logits_fake
)
discr_loss = real_loss.mean() + fake_loss.mean()
return discr_loss
class LeCAM_EMA(object):
def __init__(self, init=0., decay=0.999):
self.logits_real_ema = init
self.logits_fake_ema = init
self.decay = decay
def update(self, logits_real, logits_fake):
self.logits_real_ema = self.logits_real_ema * self.decay + torch.mean(logits_real).item() * (1- self.decay)
self.logits_fake_ema = self.logits_fake_ema * self.decay + torch.mean(logits_fake).item() * (1 - self.decay)
def lecam_reg(real_pred, fake_pred, lecam_ema):
reg = torch.mean(F.relu(real_pred - lecam_ema.logits_fake_ema).pow(2)) + \
torch.mean(F.relu(lecam_ema.logits_real_ema - fake_pred).pow(2))
return reg
class VQLPIPSWithDiscriminator(nn.Module):
# def __init__(self, disc_start, codebook_weight=1.0, pixelloss_weight=1.0,
# disc_num_layers=3, disc_in_channels=3, disc_factor=1.0, disc_weight=1.0,
# commit_weight = 0.25, codebook_enlarge_ratio=3, codebook_enlarge_steps=2000,
# perceptual_weight=1.0, use_actnorm=False, disc_conditional=False,
# disc_ndf=64, disc_loss="hinge", gen_loss_weight=None, lecam_loss_weight=None):
def __init__(self, config: VQConfig):
super().__init__()
assert config.disc_loss in ["hinge", "vanilla", "non_saturate"]
self.codebook_weight = config.codebook_weight
self.pixel_weight = config.pixelloss_weight
self.perceptual_loss = LPIPS().eval()
self.perceptual_weight = config.perceptual_weight
self.commit_weight = config.commit_weight
self.codebook_enlarge_ratio = config.codebook_enlarge_ratio
self.codebook_enlarge_steps = config.codebook_enlarge_steps
self.gen_loss_weight = config.gen_loss_weight
self.lecam_loss_weight = config.lecam_loss_weight
if self.lecam_loss_weight is not None:
self.lecam_ema = LeCAM_EMA()
self.discriminator = NLayerDiscriminator(
input_nc=config.disc_in_channels,
n_layers=config.disc_num_layers,
use_actnorm=config.use_actnorm,
ndf=config.disc_ndf
).apply(weights_init)
self.discriminator_iter_start = config.disc_start
self.disc_loss = {
"hinge": hinge_d_loss,
"vanilla": vanilla_d_loss,
"non_saturate": non_saturate_discriminator_loss,
}[config.disc_loss]
print(f"VQLPIPSWithDiscriminator running with {config.disc_loss} loss.")
self.disc_factor = config.disc_factor
self.discriminator_weight = config.disc_weight
self.disc_conditional = config.disc_conditional
def calculate_adaptive_weight(self, nll_loss, g_loss, last_layer=None):
if last_layer is not None:
nll_grads = torch.autograd.grad(nll_loss, last_layer, retain_graph=True)[0]
g_grads = torch.autograd.grad(g_loss, last_layer, retain_graph=True)[0]
else:
nll_grads = torch.autograd.grad(nll_loss, self.last_layer[0], retain_graph=True)[0]
g_grads = torch.autograd.grad(g_loss, self.last_layer[0], retain_graph=True)[0]
d_weight = torch.norm(nll_grads) / (torch.norm(g_grads) + 1e-4)
d_weight = torch.clamp(d_weight, 0.0, 1e4).detach()
d_weight = d_weight * self.discriminator_weight
return d_weight
def forward(self, codebook_loss, loss_break, inputs, reconstructions, optimizer_idx,
global_step, last_layer=None, cond=None, split="train"):
# now the GAN part
if optimizer_idx == 0:
### This code was previously outside this if statement, but seemed unnecessary? - Kevin
rec_loss = torch.abs(inputs.contiguous() - reconstructions.contiguous())
nll_loss = rec_loss.clone()
if self.perceptual_weight > 0:
p_loss = self.perceptual_loss(inputs.contiguous(), reconstructions.contiguous())
nll_loss = nll_loss + self.perceptual_weight * p_loss
else:
p_loss = torch.tensor([0.0])
nll_loss = torch.mean(nll_loss)
###
# generator update
if cond is None:
assert not self.disc_conditional
logits_fake = self.discriminator(reconstructions.contiguous())
else:
assert self.disc_conditional
logits_fake = self.discriminator(torch.cat((reconstructions.contiguous(), cond), dim=1))
g_loss = non_saturate_gen_loss(logits_fake)
if self.gen_loss_weight is None:
try:
d_weight = self.calculate_adaptive_weight(nll_loss, g_loss, last_layer=last_layer)
except RuntimeError:
assert not self.training
d_weight = torch.tensor(0.0)
else:
d_weight = torch.tensor(self.gen_loss_weight)
disc_factor = adopt_weight(self.disc_factor, global_step, threshold=self.discriminator_iter_start)
if not self.training:
real_g_loss = disc_factor * g_loss
g_loss = d_weight * disc_factor * g_loss
scale_codebook_loss = self.codebook_weight * codebook_loss #entropy_loss
if self.codebook_enlarge_ratio > 0:
scale_codebook_loss = self.codebook_enlarge_ratio * (max(0, 1 - global_step / self.codebook_enlarge_steps)) * scale_codebook_loss + scale_codebook_loss
loss = nll_loss + g_loss + scale_codebook_loss + loss_break.commitment * self.commit_weight
if disc_factor == 0:
log = {"{}/total_loss".format(split): loss.clone().detach(),
"{}/per_sample_entropy".format(split): loss_break.per_sample_entropy.detach(),
"{}/codebook_entropy".format(split): loss_break.codebook_entropy.detach(),
"{}/commit_loss".format(split): loss_break.commitment.detach(),
"{}/nll_loss".format(split): nll_loss.detach(),
"{}/reconstruct_loss".format(split): rec_loss.detach().mean(),
"{}/perceptual_loss".format(split): p_loss.detach().mean(),
"{}/d_weight".format(split): torch.tensor(0.0),
"{}/disc_factor".format(split): torch.tensor(0.0),
"{}/g_loss".format(split): torch.tensor(0.0),
}
else:
if self.training:
log = {"{}/total_loss".format(split): loss.clone().detach(),
"{}/per_sample_entropy".format(split): loss_break.per_sample_entropy.detach(),
"{}/codebook_entropy".format(split): loss_break.codebook_entropy.detach(),
"{}/commit_loss".format(split): loss_break.commitment.detach(),
"{}/entropy_loss".format(split): codebook_loss.detach(),
"{}/nll_loss".format(split): nll_loss.detach(),
"{}/reconstruct_loss".format(split): rec_loss.detach().mean(),
"{}/perceptual_loss".format(split): p_loss.detach().mean(),
"{}/d_weight".format(split): d_weight,
"{}/disc_factor".format(split): torch.tensor(disc_factor),
"{}/g_loss".format(split): g_loss.detach(),
}
else:
# validation only monitor the reconstruct_loss and p_loss
log = {
"{}/reconstruct_loss".format(split): rec_loss.detach().mean(),
"{}/perceptual_loss".format(split): p_loss.detach().mean(),
"{}/g_loss".format(split): real_g_loss.detach(),
}
return loss, log
if optimizer_idx == 1:
# second pass for discriminator update
if cond is None:
logits_real = self.discriminator(inputs.contiguous().detach())
logits_fake = self.discriminator(reconstructions.contiguous().detach())
else:
logits_real = self.discriminator(torch.cat((inputs.contiguous().detach(), cond), dim=1))
logits_fake = self.discriminator(torch.cat((reconstructions.contiguous().detach(), cond), dim=1))
disc_factor = adopt_weight(self.disc_factor, global_step, threshold=self.discriminator_iter_start)
#---------------------------------------------------------------------------------------
# Non-Saturate Loss is the Format of GAN Training, for D Loss, We still adopt Hinge Loss
#---------------------------------------------------------------------------------------
if self.lecam_loss_weight is not None:
self.lecam_ema.update(logits_real, logits_fake)
lecam_loss = lecam_reg(logits_real, logits_fake, self.lecam_ema)
non_saturate_d_loss = self.disc_loss(logits_real, logits_fake)
d_loss = disc_factor * (lecam_loss * self.lecam_loss_weight + non_saturate_d_loss)
else:
non_saturate_d_loss = self.disc_loss(logits_real, logits_fake)
d_loss = disc_factor * non_saturate_d_loss
# d_loss = disc_factor *
if disc_factor == 0:
log = {"{}/disc_loss".format(split): torch.tensor(0.0),
"{}/logits_real".format(split): torch.tensor(0.0),
"{}/logits_fake".format(split): torch.tensor(0.0),
"{}/disc_factor".format(split): torch.tensor(disc_factor),
"{}/lecam_loss".format(split): lecam_loss.detach(),
"{}/non_saturated_d_loss".format(split): non_saturate_d_loss.detach(),
}
else:
log = {"{}/disc_loss".format(split): d_loss.clone().detach().mean(),
"{}/logits_real".format(split): logits_real.detach().mean(),
"{}/logits_fake".format(split): logits_fake.detach().mean(),
"{}/disc_factor".format(split): torch.tensor(disc_factor),
"{}/lecam_loss".format(split): lecam_loss.detach(),
"{}/non_saturated_d_loss".format(split): non_saturate_d_loss.detach(),
}
return d_loss, log
| 12,805 | vqperceptual | py | en | python | code | {"qsc_code_num_words": 1520, "qsc_code_num_chars": 12805.0, "qsc_code_mean_word_length": 4.79144737, "qsc_code_frac_words_unique": 0.12828947, "qsc_code_frac_chars_top_2grams": 0.05492242, "qsc_code_frac_chars_top_3grams": 0.045311, "qsc_code_frac_chars_top_4grams": 0.02471509, "qsc_code_frac_chars_dupe_5grams": 0.47013593, "qsc_code_frac_chars_dupe_6grams": 0.39214609, "qsc_code_frac_chars_dupe_7grams": 0.32445421, "qsc_code_frac_chars_dupe_8grams": 0.27502403, "qsc_code_frac_chars_dupe_9grams": 0.24618976, "qsc_code_frac_chars_dupe_10grams": 0.22490732, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00963701, "qsc_code_frac_chars_whitespace": 0.27067552, "qsc_code_size_file_byte": 12805.0, "qsc_code_num_lines": 271.0, "qsc_code_num_chars_line_max": 168.0, "qsc_code_num_chars_line_mean": 47.25092251, "qsc_code_frac_chars_alphabet": 0.77021094, "qsc_code_frac_chars_comments": 0.07934401, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.24509804, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.05574972, "qsc_code_frac_chars_long_word_length": 0.00954735, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.01960784, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.06372549, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.02941176, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.15686275, "qsc_codepython_frac_lines_print": 0.00490196} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1y33/100Days | day10/FlashAttention.cu | #include <cuda_runtime.h>
#include <iostream>
// #include "ATen/ATen.h"
// #include <torch/types.h>
template <typename T>
__global__ void flashKernel(const T *Q,
const T *K,
const T *V,
T *O,
T *m,
T *l,
const int seq_len,
const int head_dim,
int Tc, int Tr, int Bc, int Br)
{
// blocks of Bc x Br
// number of Tc X Tr tiles
int threadIndex = threadIdx.x;
int BatchIndex = blockIdx.x;
int HeadIndex = blockIdx.y;
int NrHeads = gridDim.y;
// int NrBatches = gridDim.x;
int qkvOffset = (BatchIndex * NrHeads * seq_len * head_dim) + (HeadIndex * seq_len * head_dim);
// l and m are of size [batch_size x num_heads x seq_len]
int lmOffset = (BatchIndex * NrHeads * seq_len) + (HeadIndex * seq_len);
extern __shared__ float sharedMemory[];
int TileSize = Bc * head_dim;
T *Qi = sharedMemory;
T *Ki = &sharedMemory[TileSize];
T *Vi = &sharedMemory[2 * TileSize];
T *Si = &sharedMemory[3 * TileSize];
for (int j = 0; j < Tc; ++j)
{
// line 6 paper : Load KV in the SRAM
for (int aux = 0; aux < seq_len; ++aux)
{
Ki[threadIndex * seq_len + aux] = K[qkvOffset + j * TileSize + threadIndex * seq_len + aux];
Vi[threadIndex * seq_len + aux] = V[qkvOffset + j * TileSize + threadIndex * seq_len + aux];
}
//
__syncthreads();
for (int i = 0; i < Tr; ++i)
{
// line 8 paper ; Load Qi, Oi, li, mi, into the SRAM
for (int aux = 0; aux < seq_len; ++aux)
{
Qi[threadIndex * seq_len + aux] = Q[qkvOffset + i * TileSize + threadIndex * seq_len + aux];
}
// lest load li and mi;
float rowPrevMax = m[lmOffset + i * Br + threadIndex];
float rowPrevSum = l[lmOffset + i * Br + threadIndex];
// we need to compute now the Sij
float rowMax = -INFINITY;
for (int y = 0; i < Bc; ++y)
{
float sum = 0;
for (int x = 0; x < head_dim; ++x)
{
sum += Qi[y * seq_len + x] * Ki[x * seq_len + y];
}
sum = sum * rsqrtf(head_dim);
Si[Br * threadIndex + y] = sum;
rowMax = fmaxf(rowMax, sum);
}
// we calcultaed the row max + Sij
float rowSum = 0;
for (int aux = 0; aux < Bc; ++aux)
{
Si[threadIndex * Br + aux] = expf(Si[threadIndex * Br + aux] - rowMax);
rowSum += Si[threadIndex * Br + aux];
}
float newMax = fmaxf(rowPrevMax, rowMax);
float newSum = rowPrevSum * expf(rowPrevMax - newMax) + rowSum * expf(rowMax - newMax);
// we need to iterate over all the elements
for (int aux = 0; aux < head_dim; ++aux)
{
float value = 0.0f;
for (int y = 0; y < Bc; ++y)
{
value += Si[threadIndex * Bc + y] * Vi[y * head_dim + aux];
}
O[qkvOffset + (TileSize * i) + (threadIndex * seq_len) + aux] = (1 / newSum) * ((rowPrevSum * expf(rowPrevMax - newMax) * value) * O[qkvOffset + (TileSize * i) + (threadIndex * head_dim + aux)] + (expf(rowMax - newMax) * value));
}
l[lmOffset + i * Br + threadIndex] = newSum;
m[lmOffset + i * Br + threadIndex] = newMax;
}
__syncthreads();
}
}
// void FlashAttention(torch::Tensor &Q,
// torch::Tensor &K,
// torch::Tensor &V,
// torch::Tensor &O,
// torch::Tensor &m,
// torch::Tensor &l,
// const int seq_len,
// const int head_dim,
// int Tc, int Tr, int Bc, int Br)
// {
// const int batch_size = Q.size(0);
// const int num_heads = Q.size(1);
// const int seq_len = Q.size(2);
// const int head_dim = Q.size(3);
// const int Bc = 32;
// const int Br = 32;
// const int Tc = ceil((float)seq_len / Bc);
// const int Tr = ceil((float)seq_len / Br);
// int sharedMemorySize = 3 * Bc * Br * head_dim * sizeof(float) + Bc * Br * sizeof(float);
// dim3 grid(batch_size, num_heads);
// dim3 block(Bc);
// AT_DISPATCH_FLOATING_TYPES(Q.type(), "flashKernel", [&]
// { flashKernel<<<grid, block, sharedMemorySize>>>(Q.data_ptr<scalar_t>(),
// K.data_ptr<scalar_t>(),
// V.data_ptr<scalar_t>(),
// O.data_ptr<scalar_t>(),
// m.data_ptr<scalar_t>(),
// l.data_ptr<scalar_t>(),
// seq_len, head_dim, Tc, Tr, Bc, Br); });
// cudaDeviceSynchronize();
// auto err = cudaGetLastError();
// if (err != cudaSuccess)
// {
// TORCH_CHECK(false, "CUDA error: ", cudaGetErrorString(err));
// }
// }
// torch::Tensor forward(torch::Tensor Q, torch::Tensor K, torch::Tensor V)
// {
// const int batch_size = Q.size(0);
// const int num_heads = Q.size(1);
// const int seq_len = Q.size(2);
// const int head_dim = Q.size(3);
// dim3 grid(batch_size, num_heads);
// dim3 block(Bc);
// auto O = torch::zeros_like(Q);
// auto l = torch::zeros({batch_size, num_heads, seq_len});
// auto m = torch::zeros({batch_size, num_heads, seq_len});
// torch::Device device(torch::kCUDA);
// l = l.to(device);
// m = m.to(device);
// auto m = torch::full({batch_size, num_heads, seq_len}, -INFINITY);
// int sharedMemorySize = 3 * Bc * Br * head_dim * sizeof(float) + Bc * Br * sizeof(float);
// flashKernel<<<grid, block, sharedMemorySize>>>(Q.data_ptr<float>(),
// K.data_ptr<float>(),
// V.data_ptr<float>(),
// O.data_ptr<float>(),
// m.data_ptr<float>(),
// l.data_ptr<float>(),
// seq_len, head_dim, Tc, Tr, Bc, Br);
// return O;
// }
void randomInit(float *data, int size)
{
for (int i = 0; i < size; ++i)
{
data[i] = 1;
}
}
int main()
{
const int batch_size = 1;
const int seq_len = 2;
const int nr_heads = 1;
const int dim_head = 2;
const int Bc = 32;
const int Br = 32;
const int Tc = ceil((float)seq_len / Bc);
const int Tr = ceil((float)seq_len / Br);
float *Q = new float[batch_size * nr_heads * seq_len * dim_head];
float *K = new float[batch_size * nr_heads * seq_len * dim_head];
float *V = new float[batch_size * nr_heads * seq_len * dim_head];
float *O = new float[batch_size * nr_heads * seq_len * dim_head];
float *m = new float[batch_size * nr_heads * seq_len];
float *l = new float[batch_size * nr_heads * seq_len];
const int sharedMemory = (3 * Bc * dim_head * sizeof(float)) + (Bc * Br * sizeof(float));
randomInit(Q, batch_size * nr_heads * seq_len * dim_head);
randomInit(K, batch_size * nr_heads * seq_len * dim_head);
randomInit(V, batch_size * nr_heads * seq_len * dim_head);
float *dQ;
float *dK;
float *dV;
float *dO;
float *dm;
float *dl;
cudaMalloc(&dQ, batch_size * nr_heads * seq_len * dim_head * sizeof(float));
cudaMalloc(&dK, batch_size * nr_heads * seq_len * dim_head * sizeof(float));
cudaMalloc(&dV, batch_size * nr_heads * seq_len * dim_head * sizeof(float));
cudaMalloc(&dO, batch_size * nr_heads * seq_len * dim_head * sizeof(float));
cudaMalloc(&dm, batch_size * nr_heads * seq_len * sizeof(float));
cudaMalloc(&dl, batch_size * nr_heads * seq_len * sizeof(float));
cudaMemcpy(dQ, Q, batch_size * nr_heads * seq_len * dim_head * sizeof(float), cudaMemcpyHostToDevice);
cudaMemcpy(dK, K, batch_size * nr_heads * seq_len * dim_head * sizeof(float), cudaMemcpyHostToDevice);
cudaMemcpy(dV, V, batch_size * nr_heads * seq_len * dim_head * sizeof(float), cudaMemcpyHostToDevice);
int max_sram_size;
cudaDeviceGetAttribute(&max_sram_size, cudaDevAttrMaxSharedMemoryPerBlock, 0);
dim3 gridSize(batch_size,nr_heads);
dim3 blockSize(Bc);
flashKernel<<<gridSize, blockSize, sharedMemory>>>(Q,
K,
V,
O,
m,
l,
seq_len,
dim_head,
Br,
Bc,
Tc,
Tr);
cudaMemcpy(O, dO, batch_size * nr_heads * seq_len * dim_head * sizeof(float), cudaMemcpyDeviceToHost);
int firstBatch = 1;
int firstHead = 1;
printf("Printing the first element of the output tensor\n");
for(int i = 0; i < seq_len; i++)
{
printf("O[%d][%d][%d][%d] = %f\n", firstBatch, firstHead, i, 0, O[firstBatch * nr_heads * seq_len * dim_head + firstHead * seq_len * dim_head + i * dim_head]);
}
cudaFree(dQ);
cudaFree(dK);
cudaFree(dV);
cudaFree(dO);
cudaFree(dm);
cudaFree(dl);
free(Q);
free(K);
free(V);
free(O);
free(m);
free(l);
return 0;
}
| 10,398 | FlashAttention | cu | en | cuda | code | {"qsc_code_num_words": 1175, "qsc_code_num_chars": 10398.0, "qsc_code_mean_word_length": 4.00595745, "qsc_code_frac_words_unique": 0.14723404, "qsc_code_frac_chars_top_2grams": 0.06755895, "qsc_code_frac_chars_top_3grams": 0.05374973, "qsc_code_frac_chars_top_4grams": 0.06798385, "qsc_code_frac_chars_dupe_5grams": 0.48247291, "qsc_code_frac_chars_dupe_6grams": 0.4176758, "qsc_code_frac_chars_dupe_7grams": 0.39898024, "qsc_code_frac_chars_dupe_8grams": 0.36413852, "qsc_code_frac_chars_dupe_9grams": 0.31442532, "qsc_code_frac_chars_dupe_10grams": 0.25876354, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.0088968, "qsc_code_frac_chars_whitespace": 0.40546259, "qsc_code_size_file_byte": 10398.0, "qsc_code_num_lines": 273.0, "qsc_code_num_chars_line_max": 246.0, "qsc_code_num_chars_line_mean": 38.08791209, "qsc_code_frac_chars_alphabet": 0.75250728, "qsc_code_frac_chars_comments": 0.34602808, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.02564103, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.01073845, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1y33/100Days | day84/kernel.py | import triton
import triton.language as tl
import torch
@triton.jit
def fp8_gemm_kernel(
a_ptr, b_ptr, c_ptr,
M, N, K,
stride_am, stride_ak,
stride_bk, stride_bn,
stride_cm, stride_cn,
scale_a, scale_b, scale_c,
BLOCK_M: tl.constexpr, BLOCK_N: tl.constexpr, BLOCK_K: tl.constexpr
):
pid_m = tl.program_id(0)
pid_n = tl.program_id(1)
rm = tl.arange(0, BLOCK_M)
rn = tl.arange(0, BLOCK_N)
offm = pid_m * BLOCK_M + rm
offn = pid_n * BLOCK_N + rn
acc = tl.zeros((BLOCK_M, BLOCK_N), dtype=tl.float32)
for k in range(0, K, BLOCK_K):
offk = k + tl.arange(0, BLOCK_K)
a = tl.load(
a_ptr + offm[:, None] * stride_am + offk[None, :] * stride_ak,
mask=(offm[:, None] < M) & (offk[None, :] < K),
other=0,
)
b = tl.load(
b_ptr + offk[:, None] * stride_bk + offn[None, :] * stride_bn,
mask=(offk[:, None] < K) & (offn[None, :] < N),
other=0,
)
a_fp32 = tl.cast(a, tl.float32) * scale_a
b_fp32 = tl.cast(b, tl.float32) * scale_b
acc += tl.dot(a_fp32, b_fp32)
c_fp8 = tl.round(acc / scale_c)
c_fp8 = tl.max(tl.min(c_fp8, 127), -128)
tl.store(
c_ptr + offm[:, None] * stride_cm + offn[None, :] * stride_cn,
c_fp8.to(tl.int8),
mask=(offm[:, None] < M) & (offn[None, :] < N)
)
def fp8_gemm(a: torch.Tensor, b: torch.Tensor,
scale_a: float, scale_b: float, scale_c: float,
BLOCK_M: int = 64, BLOCK_N: int = 64, BLOCK_K: int = 32) -> torch.Tensor:
assert a.dtype == torch.int8 and b.dtype == torch.int8
M, K = a.shape
K2, N = b.shape
assert K == K2
c = torch.empty((M, N), device=a.device, dtype=torch.int8)
grid = (triton.cdiv(M, BLOCK_M), triton.cdiv(N, BLOCK_N))
fp8_gemm_kernel[grid](
a, b, c,
M, N, K,
a.stride(0), a.stride(1),
b.stride(0), b.stride(1),
c.stride(0), c.stride(1),
scale_a, scale_b, scale_c,
BLOCK_M=BLOCK_M, BLOCK_N=BLOCK_N, BLOCK_K=BLOCK_K
)
return c
if __name__ == "__main__":
torch.manual_seed(0)
M, K, N = 128, 256, 64
a_fp8 = torch.randint(-128, 127, (M, K), device='cuda', dtype=torch.int8)
b_fp8 = torch.randint(-128, 127, (K, N), device='cuda', dtype=torch.int8)
scale_a, scale_b, scale_c = 0.1, 0.1, 0.05
c_fp8 = fp8_gemm(a_fp8, b_fp8, scale_a, scale_b, scale_c)
print("GEMM result (FP8 stored as int8):", c_fp8)
| 2,549 | kernel | py | en | python | code | {"qsc_code_num_words": 422, "qsc_code_num_chars": 2549.0, "qsc_code_mean_word_length": 3.14454976, "qsc_code_frac_words_unique": 0.20616114, "qsc_code_frac_chars_top_2grams": 0.03617182, "qsc_code_frac_chars_top_3grams": 0.05275057, "qsc_code_frac_chars_top_4grams": 0.03617182, "qsc_code_frac_chars_dupe_5grams": 0.13112283, "qsc_code_frac_chars_dupe_6grams": 0.06330068, "qsc_code_frac_chars_dupe_7grams": 0.03617182, "qsc_code_frac_chars_dupe_8grams": 0.03617182, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.05063291, "qsc_code_frac_chars_whitespace": 0.28717144, "qsc_code_size_file_byte": 2549.0, "qsc_code_num_lines": 86.0, "qsc_code_num_chars_line_max": 87.0, "qsc_code_num_chars_line_mean": 29.63953488, "qsc_code_frac_chars_alphabet": 0.6796918, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.08695652, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.01922322, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.02898551, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.02898551, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.04347826, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.08695652, "qsc_codepython_frac_lines_print": 0.01449275} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1y33/100Days | day30/kernelHisto.cu | #include <cuda_runtime.h>
#include <stdio.h>
#define BLOCK_SIZE 16 // 16x16 thread block
#define HIST_SIZE 256 // Grayscale histogram bins
__global__ void histogram_equalization(unsigned char *d_img, unsigned char *d_out, int width, int height) {
__shared__ unsigned int hist_shared[HIST_SIZE]; // Shared memory for histogram
__shared__ float cdf_shared[HIST_SIZE]; // Shared memory for CDF
int tx = threadIdx.x, ty = threadIdx.y;
int x = blockIdx.x * blockDim.x + tx;
int y = blockIdx.y * blockDim.y + ty;
int index = y * width + x;
// Initialize shared histogram
if (tx < HIST_SIZE / BLOCK_SIZE && ty == 0) {
hist_shared[tx * BLOCK_SIZE] = 0;
}
__syncthreads();
// First pass: compute local histogram using atomic operations
if (x < width && y < height) {
atomicAdd(&hist_shared[d_img[index]], 1);
}
__syncthreads();
// Merge local histograms into global memory
__shared__ unsigned int hist_global[HIST_SIZE];
if (tx == 0 && ty == 0) {
for (int i = 0; i < HIST_SIZE; i++) {
atomicAdd(&hist_global[i], hist_shared[i]);
}
}
__syncthreads();
// Compute CDF (Cumulative Distribution Function)
if (tx == 0 && ty == 0) {
float sum = 0;
for (int i = 0; i < HIST_SIZE; i++) {
sum += hist_global[i];
cdf_shared[i] = sum;
}
// Normalize the CDF
float min_cdf = cdf_shared[0];
for (int i = 0; i < HIST_SIZE; i++) {
cdf_shared[i] = ((cdf_shared[i] - min_cdf) / (width * height - min_cdf)) * 255.0f;
}
}
__syncthreads();
// Apply equalization
if (x < width && y < height) {
d_out[index] = (unsigned char)cdf_shared[d_img[index]];
}
} | 1,797 | kernelHisto | cu | en | cuda | code | {"qsc_code_num_words": 235, "qsc_code_num_chars": 1797.0, "qsc_code_mean_word_length": 4.2212766, "qsc_code_frac_words_unique": 0.28510638, "qsc_code_frac_chars_top_2grams": 0.06451613, "qsc_code_frac_chars_top_3grams": 0.02116935, "qsc_code_frac_chars_top_4grams": 0.02419355, "qsc_code_frac_chars_dupe_5grams": 0.16129032, "qsc_code_frac_chars_dupe_6grams": 0.11592742, "qsc_code_frac_chars_dupe_7grams": 0.05745968, "qsc_code_frac_chars_dupe_8grams": 0.05745968, "qsc_code_frac_chars_dupe_9grams": 0.05745968, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01957713, "qsc_code_frac_chars_whitespace": 0.28937117, "qsc_code_size_file_byte": 1797.0, "qsc_code_num_lines": 58.0, "qsc_code_num_chars_line_max": 108.0, "qsc_code_num_chars_line_mean": 30.98275862, "qsc_code_frac_chars_alphabet": 0.75724354, "qsc_code_frac_chars_comments": 0.18809126, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.275, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1y33/100Days | day46/flash_attention.py | import torch
import triton
import triton.language as tl
@triton.jit
def _attn_fwd_inner(
O_block,
l_i,
m_i,
Q_block,
K_block_ptr,
V_block_ptr,
block_index_q,
softmax_scale,
BLOCK_SIZE_Q: tl.constexpr,
BLOCK_SIZE_KV: tl.constexpr,
STAGE: tl.constexpr,
offs_q: tl.constexpr,
offs_kv: tl.constexpr,
SEQ_LEN: tl.constexpr,
):
# range of values handled by this stage
if STAGE == 1:
# From 0 to the left of the diagonal
lo, hi = 0, block_index_q * BLOCK_SIZE_Q
elif STAGE == 2:
# Used only for the block in which there is transition between non-masked and masked keys
lo, hi = block_index_q * BLOCK_SIZE_Q, (block_index_q + 1) * BLOCK_SIZE_Q
lo = tl.multiple_of(lo, BLOCK_SIZE_Q)
else:
# Only used for non-causal attention
lo, hi = 0, SEQ_LEN
K_block_ptr = tl.advance(K_block_ptr, (0, lo))
V_block_ptr = tl.advance(V_block_ptr, (lo, 0))
# loop over k, v and update accumulator
for start_kv in range(lo, hi, BLOCK_SIZE_KV):
# Just let the compiler know that start_n is a multiple of BLOCK_N, so the compiler can do optimizations
start_kv = tl.multiple_of(start_kv, BLOCK_SIZE_KV)
# -- compute qk ----
K_block = tl.load(K_block_ptr)
QK_block = tl.dot(Q_block, K_block)
if STAGE == 2:
mask = offs_q[:, None] >= (start_kv + offs_kv[None, :])
QK_block = QK_block * softmax_scale + tl.where(mask, 0, -1.0e6)
m_ij = tl.maximum(m_i, tl.max(QK_block, 1))
QK_block -= m_ij[:, None]
else:
# Compute the maximum value of qk or keep the old max value
m_ij = tl.maximum(m_i, tl.max(QK_block, 1) * softmax_scale)
QK_block = QK_block * softmax_scale - m_ij[:, None]
# Compute the exponential of each dot product, so now we are computing exp(qk_ij - m_ij)
P_block = tl.math.exp(QK_block)
# Compute the sum by rows of the attention scores
l_ij = tl.sum(P_block, 1)
# This is the correction factor for the previous l_i
alpha = tl.math.exp(m_i - m_ij)
# Apply the correction factor to the previous l_i and add the new l_ij
l_i = l_i * alpha + l_ij
V_block = tl.load(V_block_ptr)
P_block = P_block.to(tl.float16)
# This computes the following: O_new = P x V + O_old * alpha
O_block = O_block * alpha[:, None]
O_block = tl.dot(P_block, V_block, O_block)
m_i = m_ij
# Move to the next block of K and V
V_block_ptr = tl.advance(V_block_ptr, (BLOCK_SIZE_KV, 0))
K_block_ptr = tl.advance(K_block_ptr, (0, BLOCK_SIZE_KV))
return O_block, l_i, m_i
@triton.autotune(
[
triton.Config(
{"BLOCK_SIZE_Q": BLOCK_SIZE_Q, "BLOCK_SIZE_KV": BLOCK_SIZE_KV},
num_stages=num_stages,
num_warps=num_warps,
)
for BLOCK_SIZE_Q in [64, 128]
for BLOCK_SIZE_KV in [32, 64]
for num_stages in ([3, 4, 7])
for num_warps in [2, 4]
],
key=["SEQ_LEN", "HEAD_DIM"],
)
@triton.jit
def _attn_fwd(
Q, # BATCH_SIZE, NUM_HEADS, SEQ_LEN, HEAD_DIM
K, # BATCH_SIZE, NUM_HEADS, SEQ_LEN, HEAD_DIM
V, # BATCH_SIZE, NUM_HEADS, SEQ_LEN, HEAD_DIM
softmax_scale,
M, # BATCH_SIZE, NUM_HEADS, SEQ_LEN
O, # BATCH_SIZE, NUM_HEADS, SEQ_LEN, HEAD_DIM
stride_Q_batch,
stride_Q_head,
stride_Q_seq,
stride_Q_dim,
stride_K_batch,
stride_K_head,
stride_K_seq,
stride_K_dim,
stride_V_batch,
stride_V_head,
stride_V_seq,
stride_V_dim,
stride_O_batch,
stride_O_head,
stride_O_seq,
stride_O_dim,
BATCH_SIZE,
NUM_HEADS: tl.constexpr,
SEQ_LEN: tl.constexpr,
HEAD_DIM: tl.constexpr,
BLOCK_SIZE_Q: tl.constexpr,
BLOCK_SIZE_KV: tl.constexpr,
STAGE: tl.constexpr,
):
tl.static_assert(BLOCK_SIZE_KV <= HEAD_DIM)
# This indicate which block in the sequence length to process
block_index_q = tl.program_id(0)
# This indicates which head and batch to process. Each program is associated with a single head of a single batch
index_batch_head = tl.program_id(1)
# This indicate which batch this program is associated with (each batch has NUM_HEADS heads)
index_batch = index_batch_head // NUM_HEADS
# This indicate the position of the head in the batch
index_head = index_batch_head % NUM_HEADS
# This allows to get the (N_CTX, HEAD_DIM) block in the Q, K, V by selecting indexing it by batch and head
qvk_offset = (
index_batch.to(tl.int64) * stride_Q_batch
+ index_head.to(tl.int64) * stride_Q_head
)
Q_block_ptr = tl.make_block_ptr(
base=Q + qvk_offset,
shape=(SEQ_LEN, HEAD_DIM),
strides=(stride_Q_seq, stride_Q_dim),
offsets=(block_index_q * BLOCK_SIZE_Q, 0),
block_shape=(BLOCK_SIZE_Q, HEAD_DIM),
order=(1, 0),
)
V_block_ptr = tl.make_block_ptr(
base=V + qvk_offset,
shape=(SEQ_LEN, HEAD_DIM),
strides=(stride_V_seq, stride_V_dim),
offsets=(0, 0),
block_shape=(BLOCK_SIZE_KV, HEAD_DIM),
order=(1, 0),
)
K_block_ptr = tl.make_block_ptr(
base=K + qvk_offset,
shape=(HEAD_DIM, SEQ_LEN),
strides=(
stride_K_dim,
stride_K_seq,
), # We invert the strides w.r.t Q, so we transpose the matrix
offsets=(0, 0),
block_shape=(HEAD_DIM, BLOCK_SIZE_KV),
order=(0, 1),
)
O_block_ptr = tl.make_block_ptr(
base=O + qvk_offset,
shape=(SEQ_LEN, HEAD_DIM),
strides=(stride_O_seq, stride_O_dim),
offsets=(block_index_q * BLOCK_SIZE_Q, 0),
block_shape=(BLOCK_SIZE_Q, HEAD_DIM),
order=(1, 0),
)
# offs_q: the offsets for the tokens in the Q to process
offs_q = block_index_q * BLOCK_SIZE_Q + tl.arange(0, BLOCK_SIZE_Q)
# offs_kv: the offsets for the tokens in the K and V sequence to process
offs_kv = tl.arange(0, BLOCK_SIZE_KV)
# m_i: the running maximum. We have one for each query
m_i = tl.zeros([BLOCK_SIZE_Q], dtype=tl.float32) - float("inf")
# l_i: the running sum. We have one for each query (as we sum the attention scores by rows)
l_i = tl.zeros([BLOCK_SIZE_Q], dtype=tl.float32) + 1.0
# acc: the accumulator for the output, which is a group of rows of the O matrix
O_block = tl.zeros([BLOCK_SIZE_Q, HEAD_DIM], dtype=tl.float32)
# load the blocks of Q: it will stay in SRAM throughout
Q_block = tl.load(Q_block_ptr)
# Stage: 3 if causal, else 1
if STAGE == 1 or STAGE == 3:
# This step runs for non-causal attention or for the blocks to the left of the diagonal in the causal attention
O_block, l_i, m_i = _attn_fwd_inner(
O_block,
l_i,
m_i,
Q_block,
K_block_ptr,
V_block_ptr,
block_index_q,
softmax_scale,
BLOCK_SIZE_Q,
BLOCK_SIZE_KV,
4 - STAGE,
offs_q,
offs_kv,
SEQ_LEN,
)
if STAGE == 3:
# This step runs for the blocks to the right of the diagonal in the causal attention
O_block, l_i, m_i = _attn_fwd_inner(
O_block,
l_i,
m_i,
Q_block,
K_block_ptr,
V_block_ptr,
block_index_q,
softmax_scale,
BLOCK_SIZE_Q,
BLOCK_SIZE_KV,
2,
offs_q,
offs_kv,
SEQ_LEN,
)
# epilogue
m_i += tl.math.log(
l_i
) # This is needed to compute the logsumexp for the backwards pass
O_block = O_block / l_i[:, None]
m_ptrs = M + index_batch_head * SEQ_LEN + offs_q
tl.store(m_ptrs, m_i)
tl.store(O_block_ptr, O_block.to(O.type.element_ty))
@triton.jit
def _attn_bwd_preprocess(
O,
dO,
D,
SEQ_LEN,
BLOCK_SIZE_Q: tl.constexpr,
HEAD_DIM: tl.constexpr,
):
block_index_q = tl.program_id(0)
offs_q = block_index_q * BLOCK_SIZE_Q + tl.arange(0, BLOCK_SIZE_Q)
index_batch_head = tl.program_id(1)
offs_dim = tl.arange(0, HEAD_DIM)
# Load a single block of BLOCK_SIZE_Q rows of O
O_block = tl.load(
O
+ index_batch_head * HEAD_DIM * SEQ_LEN
+ offs_q[:, None] * HEAD_DIM
+ offs_dim[None, :]
)
# Load a single block of BLOCK_SIZE_Q rows of dO
dO_block = tl.load(
dO
+ index_batch_head * HEAD_DIM * SEQ_LEN
+ offs_q[:, None] * HEAD_DIM
+ offs_dim[None, :]
).to(tl.float32)
# Compute the D block
D_block = tl.sum(dO_block * O_block, axis=1) # Shape: (BLOCK_SIZE_Q,)
# Store the D block
D_block_ptrs = D + index_batch_head * SEQ_LEN + offs_q
tl.store(D_block_ptrs, D_block)
@triton.jit
def _attn_bwd_dq(
Q,
K,
V,
softmax_scale,
dO,
dQ,
dK,
dV,
M,
D,
stride_batch,
stride_head,
stride_seq,
stride_dim,
NUM_HEADS,
SEQ_LEN,
BLOCK_Q: tl.constexpr,
BLOCK_KV: tl.constexpr,
HEAD_DIM: tl.constexpr,
STAGE: tl.constexpr,
):
index_batch_head = tl.program_id(2)
index_batch = index_batch_head // NUM_HEADS
index_head = index_batch_head % NUM_HEADS
offset_batch_head = (stride_batch * index_batch + stride_head * index_head).to(
tl.int64
)
# This is the offset that allows us to select the right sequence given the batch and head.
offset_batch_head_seq = (index_batch_head * SEQ_LEN).to(tl.int64)
# Make sure the pointers are in the right place w.r.t batch and head
# The reason we don't access the blocks through make_block_ptr is because we need to use the range of offsets to apply the masking
Q += offset_batch_head
K += offset_batch_head
V += offset_batch_head
dO += offset_batch_head
dQ += offset_batch_head
dK += offset_batch_head
dV += offset_batch_head
# Make sure the pointers are in the right place w.r.t batch, head and sequence
M += offset_batch_head_seq
D += offset_batch_head_seq
# load scales
offs_dim = tl.arange(0, HEAD_DIM)
index_block_kv = tl.program_id(0)
start_q = index_block_kv * BLOCK_Q
offs_q = start_q + tl.arange(0, BLOCK_Q)
Q_block = tl.load(Q + offs_q[:, None] * stride_seq + offs_dim[None, :] * stride_dim)
dQ_block = tl.zeros([BLOCK_Q, HEAD_DIM], dtype=tl.float32)
dO_block = tl.load(
dO + offs_q[:, None] * stride_seq + offs_dim[None, :] * stride_dim
)
M_block = tl.load(M + offs_q)
M_block = M_block[:, None]
offs_kv = tl.arange(0, BLOCK_KV)
# We access the K and V as transposed blocks
kT_ptrs = K + offs_kv[None, :] * stride_seq + offs_dim[:, None] * stride_dim
vT_ptrs = V + offs_kv[None, :] * stride_seq + offs_dim[:, None] * stride_dim
Di = tl.load(D + offs_q)
curr_kv = 0
num_steps = SEQ_LEN // BLOCK_KV
for blk_idx in range(num_steps):
K_T_block = tl.load(kT_ptrs)
V_T_block = tl.load(vT_ptrs)
QK_block = softmax_scale * tl.dot(Q_block, K_T_block)
P_block = tl.math.exp(QK_block - M_block)
if STAGE == 3:
# Autoregressive masking.
offs_kv = curr_kv + tl.arange(0, BLOCK_KV)
mask_block = offs_q[:, None] >= offs_kv[None, :]
P_block = tl.where(mask_block, P_block, 0.0)
# Compute dP and dS.
dP_block = tl.dot(dO_block, V_T_block).to(tl.float32)
dS_block = P_block * (dP_block - Di[:, None])
dS_block = dS_block.to(tl.float16)
# Compute dQ.
# NOTE: We need to de-scale dq in the end, because kT was pre-scaled.
dQ_block += softmax_scale * tl.dot(dS_block, tl.trans(K_T_block))
# Increment pointers.
curr_kv += BLOCK_KV
kT_ptrs += BLOCK_KV * stride_seq
vT_ptrs += BLOCK_KV * stride_seq
dQ_block_ptrs = dQ + offs_q[:, None] * stride_seq + offs_dim[None, :] * stride_dim
tl.store(dQ_block_ptrs, dQ_block)
@triton.jit
def _attn_bwd_dk_dv(
Q,
K,
V,
softmax_scale,
dO,
dQ,
dK,
dV,
M,
D,
stride_batch,
stride_head,
stride_seq,
stride_dim,
NUM_HEADS,
SEQ_LEN,
BLOCK_Q: tl.constexpr,
BLOCK_KV: tl.constexpr,
HEAD_DIM: tl.constexpr,
STAGE: tl.constexpr,
):
index_batch_head = tl.program_id(2)
index_batch = index_batch_head // NUM_HEADS
index_head = index_batch_head % NUM_HEADS
offset_batch_head = (stride_batch * index_batch + stride_head * index_head).to(
tl.int64
)
# This is the offset that allows us to select the right sequence given the batch and head.
offset_batch_head_seq = (index_batch_head * SEQ_LEN).to(tl.int64)
# Make sure the pointers are in the right place w.r.t batch and head
# The reason we don't access the blocks through make_block_ptr is because we need to use the range of offsets to apply the masking
Q += offset_batch_head
K += offset_batch_head
V += offset_batch_head
dO += offset_batch_head
dQ += offset_batch_head
dK += offset_batch_head
dV += offset_batch_head
# Make sure the pointers are in the right place w.r.t batch, head and sequence
M += offset_batch_head_seq
D += offset_batch_head_seq
# load scales
offs_dim = tl.arange(0, HEAD_DIM)
index_block_kv = tl.program_id(0)
start_kv = index_block_kv * BLOCK_KV
offs_kv = start_kv + tl.arange(0, BLOCK_KV)
dV_block = tl.zeros([BLOCK_KV, HEAD_DIM], dtype=tl.float32)
dK_block = tl.zeros([BLOCK_KV, HEAD_DIM], dtype=tl.float32)
# load K and V: they stay in SRAM throughout the inner loop.
K_block = tl.load(
K + offs_kv[:, None] * stride_seq + offs_dim[None, :] * stride_dim
) # Shape: (BLOCK_KV1, HEAD_DIM)
V_block = tl.load(
V + offs_kv[:, None] * stride_seq + offs_dim[None, :] * stride_dim
) # Shape: (BLOCK_KV1, HEAD_DIM)
offs_q = tl.arange(0, BLOCK_Q)
# We access the Q as a transposed array, so that's why we treat offs_q as a column vector ans offs_dim as a row vector
# This is equivalent to doing:
# q_ptrs = Q + offs_q[:, None] * stride_seq + offs_dim[None, :] * stride_dim
# qT_ptrs = tl.trans(q_ptrs)
# We point to the first BLOCK_Q rows of Q for both the qT and dO pointers, inside the for loop we will move forward by BLOCK_Q rows at each iteration.
qT_ptrs = Q + offs_q[None, :] * stride_seq + offs_dim[:, None] * stride_dim
dO_ptrs = dO + offs_q[:, None] * stride_seq + offs_dim[None, :] * stride_dim
# Iterates over the sequence dimension of the query
curr_q = 0
num_steps = SEQ_LEN // BLOCK_Q
for blk_idx in range(num_steps):
# Load a block of Q
qT_block = tl.load(qT_ptrs)
# Load the logsumexp values for the queries in the current block
offs_q = curr_q + tl.arange(0, BLOCK_Q)
m = tl.load(M + offs_q)
# This gives us (QK^T)^T = (K^T)^T(Q^T) = K(Q^T) = P^T
QK_T_block = softmax_scale * tl.dot(K_block, qT_block)
# We apply the softmax by using the logsumexp trick
P_T_block = tl.math.exp(QK_T_block - m[None, :])
if STAGE == 3:
# Autoregressive masking.
# mask is True for all values that DO NOT NEED TO BE MASKED
mask_block = (
offs_q[None, :] >= offs_kv[:, None]
) # Shape: (BLOCK_KV1, BLOCK_Q1)
# Replace all the masked values with 0.
# In this case we do not need to mask with -Inf before applying the softmax since we already computed the normalization factors (stored in "m")
P_T_block = tl.where(mask_block, P_T_block, 0.0)
dO_block = tl.load(dO_ptrs)
# According to the formula: dV_new = dV_old + P^T x dO, where x is the matrix multiplication
dV_block += tl.dot(P_T_block.to(tl.float16), dO_block)
# Delta = rowsum(O * dO) where * is the element-wise product
Di = tl.load(D + offs_q)
# dP = dO x V^T, so dP^T = V x dO^T
# Where x is the matrix multiplication
dpT_block = tl.dot(V_block, tl.trans(dO_block)).to(tl.float32)
# We know that dS = P * (dP - Delta), so dS^T = P^T * (dP^T - Delta^T)
dS_T_block = P_T_block * (dpT_block - Di[None, :])
dS_T_block = dS_T_block.to(tl.float16)
# According to the formula on the paper: dK_new = dK_old + dS^T x Q
dK_block += softmax_scale * tl.dot(dS_T_block, tl.trans(qT_block))
# Increment pointers.
curr_q += BLOCK_Q
qT_ptrs += BLOCK_Q * stride_seq
dO_ptrs += BLOCK_Q * stride_seq
# Write back dV.
dV_block_ptrs = dV + offs_kv[:, None] * stride_seq + offs_dim[None, :] * stride_dim
tl.store(dV_block_ptrs, dV_block)
# Write back dK.
dK_block_ptrs = dK + offs_kv[:, None] * stride_seq + offs_dim[None, :] * stride_dim
tl.store(dK_block_ptrs, dK_block)
class TritonAttention(torch.autograd.Function):
@staticmethod
def forward(ctx, Q, K, V, causal, softmax_scale):
HEAD_DIM_Q, HEAD_DIM_K = Q.shape[-1], K.shape[-1]
HEAD_DIM_V = V.shape[-1]
BATCH_SIZE, NUM_HEADS, SEQ_LEN, HEAD_DIM = Q.shape
assert HEAD_DIM_Q == HEAD_DIM_K and HEAD_DIM_K == HEAD_DIM_V
O = torch.empty_like(Q)
stage = 3 if causal else 1
grid = lambda args: (
triton.cdiv(SEQ_LEN, args["BLOCK_SIZE_Q"]),
BATCH_SIZE * NUM_HEADS,
1,
)
# M is the logsumexp for the backward pass, one for each query
M = torch.empty(
(BATCH_SIZE, NUM_HEADS, SEQ_LEN), device=Q.device, dtype=torch.float32
)
_attn_fwd[grid](
Q=Q,
K=K,
V=V,
softmax_scale=softmax_scale,
M=M,
O=O,
stride_Q_batch=Q.stride(0),
stride_Q_head=Q.stride(1),
stride_Q_seq=Q.stride(2),
stride_Q_dim=Q.stride(3),
stride_K_batch=K.stride(0),
stride_K_head=K.stride(1),
stride_K_seq=K.stride(2),
stride_K_dim=K.stride(3),
stride_V_batch=V.stride(0),
stride_V_head=V.stride(1),
stride_V_seq=V.stride(2),
stride_V_dim=V.stride(3),
stride_O_batch=O.stride(0),
stride_O_head=O.stride(1),
stride_O_seq=O.stride(2),
stride_O_dim=O.stride(3),
BATCH_SIZE=Q.shape[0],
NUM_HEADS=Q.shape[1],
SEQ_LEN=Q.shape[2],
HEAD_DIM=HEAD_DIM_K,
STAGE=stage,
)
ctx.save_for_backward(Q, K, V, O, M)
ctx.grid = grid
ctx.softmax_scale = softmax_scale
ctx.HEAD_DIM = HEAD_DIM_K
ctx.causal = causal
return O
@staticmethod
def backward(ctx, dO):
Q, K, V, O, M = ctx.saved_tensors
assert dO.is_contiguous()
assert Q.stride() == K.stride() == V.stride() == O.stride() == dO.stride()
dQ = torch.empty_like(Q)
dK = torch.empty_like(K)
dV = torch.empty_like(V)
BATCH_SIZE, NUM_HEADS, SEQ_LEN = Q.shape[:3]
NUM_WARPS, NUM_STAGES = 4, 3
BLOCK_SIZE_MICRO, BLOCK_SIZE_MACRO = 32, 128
preprocess_grid = (SEQ_LEN // BLOCK_SIZE_MACRO, BATCH_SIZE * NUM_HEADS)
D = torch.empty_like(M) # Shape: (BATCH_SIZE, NUM_HEADS, SEQ_LEN)
# Compute all the elements Di
_attn_bwd_preprocess[preprocess_grid](
O=O,
dO=dO,
D=D,
SEQ_LEN=SEQ_LEN,
BLOCK_SIZE_Q=BLOCK_SIZE_MACRO,
HEAD_DIM=ctx.HEAD_DIM,
)
grid = (SEQ_LEN // BLOCK_SIZE_MACRO, 1, BATCH_SIZE * NUM_HEADS)
stage = 3 if ctx.causal else 1
# Fix KV and iterate through all the Q blocks
_attn_bwd_dk_dv[grid](
Q=Q,
K=K,
V=V,
softmax_scale=ctx.softmax_scale,
dO=dO,
dQ=dQ,
dK=dK,
dV=dV,
M=M,
D=D,
stride_batch=Q.stride(0),
stride_head=Q.stride(1),
stride_seq=Q.stride(2),
stride_dim=Q.stride(3),
NUM_HEADS=NUM_HEADS,
SEQ_LEN=SEQ_LEN,
BLOCK_Q=BLOCK_SIZE_MICRO,
BLOCK_KV=BLOCK_SIZE_MACRO,
HEAD_DIM=ctx.HEAD_DIM,
STAGE=stage,
num_warps=NUM_WARPS,
num_stages=NUM_STAGES,
)
# Fix Q and iterate through all the KV block
_attn_bwd_dq[grid](
Q=Q,
K=K,
V=V,
softmax_scale=ctx.softmax_scale,
dO=dO,
dQ=dQ,
dK=dK,
dV=dV,
M=M,
D=D,
stride_batch=Q.stride(0),
stride_head=Q.stride(1),
stride_seq=Q.stride(2),
stride_dim=Q.stride(3),
NUM_HEADS=NUM_HEADS,
SEQ_LEN=SEQ_LEN,
BLOCK_Q=BLOCK_SIZE_MACRO,
BLOCK_KV=BLOCK_SIZE_MICRO,
HEAD_DIM=ctx.HEAD_DIM,
STAGE=stage,
num_warps=NUM_WARPS,
num_stages=NUM_STAGES,
)
return dQ, dK, dV, None, None
def test_op(BATCH_SIZE, NUM_HEADS, SEQ_LEN, HEAD_DIM, causal, dtype=torch.float16):
Q = (
torch.empty(
(BATCH_SIZE, NUM_HEADS, SEQ_LEN, HEAD_DIM), dtype=dtype, device="cuda"
)
.normal_(mean=0.0, std=0.5)
.requires_grad_()
)
K = (
torch.empty(
(BATCH_SIZE, NUM_HEADS, SEQ_LEN, HEAD_DIM), dtype=dtype, device="cuda"
)
.normal_(mean=0.0, std=0.5)
.requires_grad_()
)
V = (
torch.empty(
(BATCH_SIZE, NUM_HEADS, SEQ_LEN, HEAD_DIM), dtype=dtype, device="cuda"
)
.normal_(mean=0.0, std=0.5)
.requires_grad_()
)
softmax_scale = 1 / (HEAD_DIM**0.5)
dO = torch.randn_like(Q)
# reference implementation
MASK = torch.tril(torch.ones((SEQ_LEN, SEQ_LEN), device="cuda"))
P = torch.matmul(Q, K.transpose(2, 3)) * softmax_scale
if causal:
P[:, :, MASK == 0] = float("-inf")
P = torch.softmax(P.float(), dim=-1).half()
ref_O = torch.matmul(P, V)
ref_O.backward(dO)
ref_dV, V.grad = V.grad.clone(), None
ref_dK, K.grad = K.grad.clone(), None
ref_dQ, Q.grad = Q.grad.clone(), None
# triton implementation
tri_out = TritonAttention.apply(Q, K, V, causal, softmax_scale).half()
tri_out.backward(dO)
tri_dV, V.grad = V.grad.clone(), None
tri_dK, K.grad = K.grad.clone(), None
tri_dQ, Q.grad = Q.grad.clone(), None
# compare
rtol = 0.0
atol = 1e-2
assert torch.allclose(ref_O, tri_out, atol=atol, rtol=rtol)
assert torch.allclose(ref_dK, tri_dK, atol=atol, rtol=rtol)
assert torch.allclose(ref_dV, tri_dV, atol=atol, rtol=rtol)
assert torch.allclose(ref_dQ, tri_dQ, atol=atol, rtol=rtol)
import time
def benchmark_speed_own(BATCH_SIZE=2, NUM_HEADS=4, SEQ_LEN=4096, HEAD_DIM=64, causal=True, dtype=torch.float16):
tri_times = []
manual_times = []
for _ in range(20):
Q = torch.randn((BATCH_SIZE, NUM_HEADS, SEQ_LEN, HEAD_DIM), dtype=dtype, device="cuda")
K = torch.randn_like(Q)
V = torch.randn_like(Q)
softmax_scale = 1.0 / (HEAD_DIM ** 0.5)
torch.cuda.synchronize()
start = time.time()
triO = TritonAttention.apply(Q, K, V, causal, softmax_scale)
torch.cuda.synchronize()
tri_times.append(time.time() - start)
torch.cuda.synchronize()
start = time.time()
QK = torch.matmul(Q, K.transpose(-1, -2)) * softmax_scale
if causal:
mask = torch.triu(torch.ones(SEQ_LEN, SEQ_LEN, device="cuda"), diagonal=1).bool()
QK.masked_fill_(mask, float('-inf'))
attn = torch.softmax(QK, dim=-1)
manualO = torch.matmul(attn, V)
torch.cuda.synchronize()
manual_times.append(time.time() - start)
print("TritonAttention min time (ms):", min(tri_times) * 1e3)
print("Manual Attention min time (ms):", min(manual_times) * 1e3)
if __name__ == "__main__":
# test_op(BATCH_SIZE=8, NUM_HEADS=16, SEQ_LEN=4096, HEAD_DIM=64, causal=True)
# test_op(BATCH_SIZE=8, NUM_HEADS=16, SEQ_LEN=4096, HEAD_DIM=64, causal=False)
benchmark_speed_own()
print("PASSED")
| 24,586 | flash_attention | py | en | python | code | {"qsc_code_num_words": 3847, "qsc_code_num_chars": 24586.0, "qsc_code_mean_word_length": 3.58929036, "qsc_code_frac_words_unique": 0.09747855, "qsc_code_frac_chars_top_2grams": 0.03041715, "qsc_code_frac_chars_top_3grams": 0.0202781, "qsc_code_frac_chars_top_4grams": 0.02216107, "qsc_code_frac_chars_dupe_5grams": 0.56843859, "qsc_code_frac_chars_dupe_6grams": 0.49782735, "qsc_code_frac_chars_dupe_7grams": 0.41541136, "qsc_code_frac_chars_dupe_8grams": 0.36884415, "qsc_code_frac_chars_dupe_9grams": 0.32111819, "qsc_code_frac_chars_dupe_10grams": 0.29750869, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01380342, "qsc_code_frac_chars_whitespace": 0.29280892, "qsc_code_size_file_byte": 24586.0, "qsc_code_num_lines": 755.0, "qsc_code_num_chars_line_max": 156.0, "qsc_code_num_chars_line_mean": 32.56423841, "qsc_code_frac_chars_alphabet": 0.78035314, "qsc_code_frac_chars_comments": 0.20678435, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.44833625, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0083475, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.01401051, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.01576182, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.00175131, "qsc_codepython_frac_lines_import": 0.00700525, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.02977233, "qsc_codepython_frac_lines_print": 0.00525394} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1x-technologies/1xgpt | magvit2/modules/diffusionmodules/improved_model.py | import torch
import torch.nn as nn
from magvit2.config import VQConfig
def swish(x):
# swish
return x*torch.sigmoid(x)
class ResBlock(nn.Module):
def __init__(self,
in_filters,
out_filters,
use_conv_shortcut = False
) -> None:
super().__init__()
self.in_filters = in_filters
self.out_filters = out_filters
self.use_conv_shortcut = use_conv_shortcut
self.norm1 = nn.GroupNorm(32, in_filters, eps=1e-6)
self.norm2 = nn.GroupNorm(32, out_filters, eps=1e-6)
self.conv1 = nn.Conv2d(in_filters, out_filters, kernel_size=(3, 3), padding=1, bias=False)
self.conv2 = nn.Conv2d(out_filters, out_filters, kernel_size=(3, 3), padding=1, bias=False)
if in_filters != out_filters:
if self.use_conv_shortcut:
self.conv_shortcut = nn.Conv2d(in_filters, out_filters, kernel_size=(3, 3), padding=1, bias=False)
else:
self.nin_shortcut = nn.Conv2d(in_filters, out_filters, kernel_size=(1, 1), padding=0, bias=False)
def forward(self, x, **kwargs):
residual = x
x = self.norm1(x)
x = swish(x)
x = self.conv1(x)
x = self.norm2(x)
x = swish(x)
x = self.conv2(x)
if self.in_filters != self.out_filters:
if self.use_conv_shortcut:
residual = self.conv_shortcut(residual)
else:
residual = self.nin_shortcut(residual)
return x + residual
class Encoder(nn.Module):
def __init__(
# self, *, ch, out_ch, in_channels, num_res_blocks, z_channels, ch_mult=(1, 2, 2, 4),
self, config: VQConfig,
):
super().__init__()
self.in_channels = config.in_channels
self.z_channels = config.z_channels
self.num_res_blocks = config.num_res_blocks
self.num_blocks = len(config.ch_mult)
self.conv_in = nn.Conv2d(
config.in_channels,
config.base_channels,
kernel_size=(3, 3),
padding=1,
bias=False
)
## construct the model
self.down = nn.ModuleList()
in_ch_mult = (1,) + tuple(config.ch_mult)
for i_level in range(self.num_blocks):
block = nn.ModuleList()
block_in = config.base_channels * in_ch_mult[i_level] # [1, 1, 2, 2, 4]
block_out = config.base_channels * config.ch_mult[i_level] # [1, 2, 2, 4]
for _ in range(self.num_res_blocks):
block.append(ResBlock(block_in, block_out))
block_in = block_out
down = nn.Module()
down.block = block
if i_level < self.num_blocks - 1:
down.downsample = nn.Conv2d(block_out, block_out, kernel_size=(3, 3), stride=(2, 2), padding=1)
self.down.append(down)
### mid
self.mid_block = nn.ModuleList()
for res_idx in range(self.num_res_blocks):
self.mid_block.append(ResBlock(block_in, block_in))
### end
self.norm_out = nn.GroupNorm(32, block_out, eps=1e-6)
self.conv_out = nn.Conv2d(block_out, config.z_channels, kernel_size=(1, 1))
def forward(self, x):
## down
x = self.conv_in(x)
for i_level in range(self.num_blocks):
for i_block in range(self.num_res_blocks):
x = self.down[i_level].block[i_block](x)
if i_level < self.num_blocks - 1:
x = self.down[i_level].downsample(x)
## mid
for res in range(self.num_res_blocks):
x = self.mid_block[res](x)
x = self.norm_out(x)
x = swish(x)
x = self.conv_out(x)
return x
class Decoder(nn.Module):
# def __init__(self, *, ch, out_ch, in_channels, num_res_blocks, z_channels, ch_mult=(1, 2, 2, 4)) -> None:
def __init__(self, config: VQConfig) -> None:
super().__init__()
self.base_channels = config.base_channels
self.num_blocks = len(config.ch_mult)
self.num_res_blocks = config.num_res_blocks
block_in = self.base_channels * config.ch_mult[self.num_blocks - 1]
self.conv_in = nn.Conv2d(
config.z_channels, block_in, kernel_size=(3, 3), padding=1, bias=True
)
self.mid_block = nn.ModuleList()
for res_idx in range(self.num_res_blocks):
self.mid_block.append(ResBlock(block_in, block_in))
self.up = nn.ModuleList()
for i_level in reversed(range(self.num_blocks)):
block = nn.ModuleList()
block_out = self.base_channels * config.ch_mult[i_level]
for i_block in range(self.num_res_blocks):
block.append(ResBlock(block_in, block_out))
block_in = block_out
up = nn.Module()
up.block = block
if i_level > 0:
up.upsample = Upsampler(block_in)
self.up.insert(0, up)
self.norm_out = nn.GroupNorm(32, block_in, eps=1e-6)
self.conv_out = nn.Conv2d(block_in, config.out_channels, kernel_size=(3, 3), padding=1)
def forward(self, z):
z = self.conv_in(z)
## mid
for res in range(self.num_res_blocks):
z = self.mid_block[res](z)
## upsample
for i_level in reversed(range(self.num_blocks)):
for i_block in range(self.num_res_blocks):
z = self.up[i_level].block[i_block](z)
if i_level > 0:
z = self.up[i_level].upsample(z)
z = self.norm_out(z)
z = swish(z)
z = self.conv_out(z)
return z
def depth_to_space(x: torch.Tensor, block_size: int) -> torch.Tensor:
""" Depth-to-Space DCR mode (depth-column-row) core implementation.
Args:
x (torch.Tensor): input tensor. The channels-first (*CHW) layout is supported.
block_size (int): block side size
"""
# check inputs
if x.dim() < 3:
raise ValueError(
f"Expecting a channels-first (*CHW) tensor of at least 3 dimensions"
)
c, h, w = x.shape[-3:]
s = block_size**2
if c % s != 0:
raise ValueError(
f"Expecting a channels-first (*CHW) tensor with C divisible by {s}, but got C={c} channels"
)
outer_dims = x.shape[:-3]
# splitting two additional dimensions from the channel dimension
x = x.view(-1, block_size, block_size, c // s, h, w)
# putting the two new dimensions along H and W
x = x.permute(0, 3, 4, 1, 5, 2)
# merging the two new dimensions with H and W
x = x.contiguous().view(*outer_dims, c // s, h * block_size,
w * block_size)
return x
class Upsampler(nn.Module):
def __init__(
self,
dim,
dim_out = None
):
super().__init__()
dim_out = dim * 4
self.conv1 = nn.Conv2d(dim, dim_out, (3, 3), padding=1)
self.depth2space = depth_to_space
def forward(self, x):
"""
input_image: [B C H W]
"""
out = self.conv1(x)
out = self.depth2space(out, block_size=2)
return out
# if __name__ == "__main__":
# x = torch.randn(size = (2, 3, 128, 128))
# encoder = Encoder(ch=128, in_channels=3, num_res_blocks=2, z_channels=18, out_ch=3, resolution=128)
# decoder = Decoder(out_ch=3, z_channels=18, num_res_blocks=2, ch=128, in_channels=3, resolution=128)
# z = encoder(x)
# out = decoder(z)
| 7,725 | improved_model | py | en | python | code | {"qsc_code_num_words": 1069, "qsc_code_num_chars": 7725.0, "qsc_code_mean_word_length": 3.8484565, "qsc_code_frac_words_unique": 0.14312442, "qsc_code_frac_chars_top_2grams": 0.03232863, "qsc_code_frac_chars_top_3grams": 0.04666991, "qsc_code_frac_chars_top_4grams": 0.03889159, "qsc_code_frac_chars_dupe_5grams": 0.48541565, "qsc_code_frac_chars_dupe_6grams": 0.41954302, "qsc_code_frac_chars_dupe_7grams": 0.39158969, "qsc_code_frac_chars_dupe_8grams": 0.32255712, "qsc_code_frac_chars_dupe_9grams": 0.25911522, "qsc_code_frac_chars_dupe_10grams": 0.17695673, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02653178, "qsc_code_frac_chars_whitespace": 0.3218123, "qsc_code_size_file_byte": 7725.0, "qsc_code_num_lines": 245.0, "qsc_code_num_chars_line_max": 115.0, "qsc_code_num_chars_line_mean": 31.53061224, "qsc_code_frac_chars_alphabet": 0.75873258, "qsc_code_frac_chars_comments": 0.12634304, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.33121019, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.00636943, "qsc_code_frac_chars_string_length": 0.02297297, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.06369427, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.01910828, "qsc_codepython_frac_lines_simplefunc": 0.006369426751592357, "qsc_codepython_score_lines_no_logic": 0.14649682, "qsc_codepython_frac_lines_print": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1c-syntax/ssl_3_1 | src/cf/Reports/ДлительностьОтложенногоОбновления/Ext/ObjectModule.bsl | ///////////////////////////////////////////////////////////////////////////////////////////////////////
// Copyright (c) 2024, ООО 1С-Софт
// Все права защищены. Эта программа и сопроводительные материалы предоставляются
// в соответствии с условиями лицензии Attribution 4.0 International (CC BY 4.0)
// Текст лицензии доступен по ссылке:
// https://creativecommons.org/licenses/by/4.0/legalcode
///////////////////////////////////////////////////////////////////////////////////////////////////////
#Если Сервер Или ТолстыйКлиентОбычноеПриложение Или ВнешнееСоединение Тогда
#Область ПрограммныйИнтерфейс
#Область ДляВызоваИзДругихПодсистем
// Задать настройки формы отчета.
//
// Параметры:
// Форма - ФормаКлиентскогоПриложения
// - Неопределено
// КлючВарианта - Строка
// - Неопределено
// Настройки - см. ОтчетыКлиентСервер.НастройкиОтчетаПоУмолчанию
//
Процедура ОпределитьНастройкиФормы(Форма, КлючВарианта, Настройки) Экспорт
Настройки.СкрытьКомандыРассылки = Истина;
Настройки.ФормироватьСразу = Ложь;
КонецПроцедуры
#КонецОбласти
#КонецОбласти
#Область ОбработчикиСобытий
Процедура ПриКомпоновкеРезультата(ДокументРезультат, ДанныеРасшифровки, СтандартнаяОбработка, АдресХранилища)
СтатистикаОбновления = СтатистикаОбновления();
СтатистикаДляДиаграммы = СтатистикаОбновления.Скопировать();
СтатистикаОбновления.Свернуть("Обработчик, Порядок, Статус", "Длительность");
СведенияОбОбновлении = ОбновлениеИнформационнойБазыСлужебный.СведенияОбОбновленииИнформационнойБазы();
Если СведенияОбОбновлении.ОтложенноеОбновлениеЗавершеноУспешно <> Неопределено Тогда
ИнформацияОПоследнейПроверке = НСтр("ru = 'Отчет сформирован %1'");
Иначе
ИнформацияОПоследнейПроверке = НСтр("ru = 'Отчет сформирован %1
|Обновление в данный момент выполняется, информация может быть неполной'");
КонецЕсли;
ИнформацияОПоследнейПроверке = СтроковыеФункцииКлиентСервер.ПодставитьПараметрыВСтроку(ИнформацияОПоследнейПроверке, ТекущаяДатаСеанса());
НастройкиОтчета = КомпоновщикНастроек.ПолучитьНастройки();
ЧислоОбработчиков = НастройкиОтчета.ПараметрыДанных.Элементы.Найти("СамыеДлительныеОбработчики").Значение;
КомпоновщикНастроек.Настройки.ПараметрыДанных.УстановитьЗначениеПараметра("ИнформацияОПоследнейПроверке", ИнформацияОПоследнейПроверке);
Запрос = Новый Запрос;
Запрос.УстановитьПараметр("СтатистикаОбновления", СтатистикаОбновления);
Запрос.Текст =
"ВЫБРАТЬ
| СтатистикаОбновления.Обработчик КАК Обработчик,
| СтатистикаОбновления.Порядок КАК Порядок,
| СтатистикаОбновления.Длительность КАК Длительность,
| СтатистикаОбновления.Статус КАК Статус
|ПОМЕСТИТЬ СтатистикаОбновления
|ИЗ
| &СтатистикаОбновления КАК СтатистикаОбновления
|;
|
|////////////////////////////////////////////////////////////////////////////////
|ВЫБРАТЬ ПЕРВЫЕ 10
| СтатистикаОбновления.Обработчик КАК Обработчик,
| СтатистикаОбновления.Порядок КАК Порядок,
| СтатистикаОбновления.Длительность КАК Длительность,
| СтатистикаОбновления.Статус КАК Статус
|ИЗ
| СтатистикаОбновления КАК СтатистикаОбновления
|
|УПОРЯДОЧИТЬ ПО
| Длительность УБЫВ";
Если ЧислоОбработчиков <> 10 Тогда
Запрос.Текст = СтрЗаменить(Запрос.Текст, "10", ЧислоОбработчиков);
КонецЕсли;
СтатистикаОбновления = Запрос.Выполнить().Выгрузить();
СтандартнаяОбработка = Ложь;
НастройкиКД = КомпоновщикНастроек.ПолучитьНастройки();
ВнешниеНаборыДанных = Новый Структура("СтатистикаОбновления", СтатистикаОбновления);
КомпоновщикМакетаКД = Новый КомпоновщикМакетаКомпоновкиДанных;
МакетКД = КомпоновщикМакетаКД.Выполнить(СхемаКомпоновкиДанных, НастройкиКД, ДанныеРасшифровки);
ПроцессорКД = Новый ПроцессорКомпоновкиДанных;
ПроцессорКД.Инициализировать(МакетКД, ВнешниеНаборыДанных, ДанныеРасшифровки, Истина);
ПроцессорВыводаРезультатаКД = Новый ПроцессорВыводаРезультатаКомпоновкиДанныхВТабличныйДокумент;
ПроцессорВыводаРезультатаКД.УстановитьДокумент(ДокументРезультат);
ПроцессорВыводаРезультатаКД.Вывести(ПроцессорКД);
ДокументРезультат.ФиксацияСверху = 0;
ДокументРезультат.ФиксацияСлева = 0;
ДиаграммаГанта(СтатистикаДляДиаграммы, ДокументРезультат);
ШаблонДиаграммы = Неопределено;
Для Каждого Рисунок Из ДокументРезультат.Рисунки Цикл
Если Рисунок.ТипРисунка = ТипРисункаТабличногоДокумента.Диаграмма Тогда
ШаблонДиаграммы = Рисунок;
Прервать;
КонецЕсли;
КонецЦикла;
Если ДокументРезультат.Области.Количество() <> 0 Тогда
ДокументРезультат.Области.ДиаграммаГанта.Верх = ШаблонДиаграммы.Верх;
Если ШаблонДиаграммы.Ширина < 200 Тогда
ДокументРезультат.Области.ДиаграммаГанта.Ширина = 200;
Иначе
ДокументРезультат.Области.ДиаграммаГанта.Ширина = ШаблонДиаграммы.Ширина;
КонецЕсли;
ДокументРезультат.Области.ДиаграммаГанта.Высота = ШаблонДиаграммы.Высота;
КонецЕсли;
ДокументРезультат.Рисунки.Удалить(ШаблонДиаграммы);
КомпоновщикНастроек.ПользовательскиеНастройки.ДополнительныеСвойства.Вставить("ОтчетПустой", СтатистикаОбновления.Количество() = 0);
КонецПроцедуры
#КонецОбласти
#Область СлужебныеПроцедурыИФункции
Функция ТаблицаСтатистики()
Статистика = Новый ТаблицаЗначений;
Статистика.Колонки.Добавить("Начало", Новый ОписаниеТипов("Дата"));
Статистика.Колонки.Добавить("Конец", Новый ОписаниеТипов("Дата"));
Статистика.Колонки.Добавить("Длительность", Новый ОписаниеТипов("Число"));
Статистика.Колонки.Добавить("Обработчик", Новый ОписаниеТипов("Строка"));
Статистика.Колонки.Добавить("Порядок", Новый ОписаниеТипов("Строка"));
Статистика.Колонки.Добавить("Статус", Новый ОписаниеТипов("ПеречислениеСсылка.СтатусыОбработчиковОбновления"));
Возврат Статистика;
КонецФункции
Функция СтатистикаОбновления()
ТаблицаСтатистики = ТаблицаСтатистики();
Запрос = Новый Запрос(
"ВЫБРАТЬ
| ОбработчикиОбновления.ИмяОбработчика КАК ИмяОбработчика,
| ОбработчикиОбновления.Статус КАК Статус,
| ОбработчикиОбновления.Версия КАК Версия,
| ОбработчикиОбновления.ИмяБиблиотеки КАК ИмяБиблиотеки,
| ОбработчикиОбновления.ДлительностьОбработки КАК ДлительностьОбработки,
| ОбработчикиОбновления.РежимВыполнения КАК РежимВыполнения,
| ОбработчикиОбновления.ВерсияРегистрации КАК ВерсияРегистрации,
| ОбработчикиОбновления.ВерсияПорядок КАК ВерсияПорядок,
| ОбработчикиОбновления.Идентификатор КАК Идентификатор,
| ОбработчикиОбновления.ЧислоПопыток КАК ЧислоПопыток,
| ОбработчикиОбновления.СтатистикаВыполнения КАК СтатистикаВыполнения,
| ОбработчикиОбновления.ИнформацияОбОшибке КАК ИнформацияОбОшибке,
| ОбработчикиОбновления.Комментарий КАК Комментарий,
| ОбработчикиОбновления.Приоритет КАК Приоритет,
| ОбработчикиОбновления.ПроцедураПроверки КАК ПроцедураПроверки,
| ОбработчикиОбновления.ПроцедураЗаполненияДанныхОбновления КАК ПроцедураЗаполненияДанныхОбновления,
| ОбработчикиОбновления.ОчередьОтложеннойОбработки КАК ОчередьОтложеннойОбработки,
| ОбработчикиОбновления.ЗапускатьТолькоВГлавномУзле КАК ЗапускатьТолькоВГлавномУзле,
| ОбработчикиОбновления.ЗапускатьИВПодчиненномУзлеРИБСФильтрами КАК ЗапускатьИВПодчиненномУзлеРИБСФильтрами,
| ОбработчикиОбновления.Многопоточный КАК Многопоточный,
| ОбработчикиОбновления.ОбработкаПорцииЗавершена КАК ОбработкаПорцииЗавершена,
| ОбработчикиОбновления.ГруппаОбновления КАК ГруппаОбновления,
| ОбработчикиОбновления.ИтерацияЗапуска КАК ИтерацияЗапуска,
| ОбработчикиОбновления.ОбрабатываемыеДанные КАК ОбрабатываемыеДанные,
| ОбработчикиОбновления.РежимВыполненияОтложенногоОбработчика КАК РежимВыполненияОтложенногоОбработчика,
| ОбработчикиОбновления.Порядок КАК Порядок
|ИЗ
| РегистрСведений.ОбработчикиОбновления КАК ОбработчикиОбновления");
СведенияОбОбработчиках = Запрос.Выполнить().Выгрузить();
СведенияОбОбновлении = ОбновлениеИнформационнойБазыСлужебный.СведенияОбОбновленииИнформационнойБазы();
ДлительностьЭтаповОбновления = СведенияОбОбновлении.ДлительностьЭтаповОбновления;
Для Каждого СтрокаОбработчика Из СведенияОбОбработчиках Цикл
ИмяОбработчика = СтрокаОбработчика.ИмяОбработчика;
СтатистикаВыполнения = СтрокаОбработчика.СтатистикаВыполнения.Получить();
Если СтатистикаВыполнения = Неопределено Тогда
Продолжить;
КонецЕсли;
НачалоПроцедурыОбработчика = СтатистикаВыполнения["НачалоПроцедурыОбработчика"];
ЗавершениеПроцедурыОбработчика = СтатистикаВыполнения["ЗавершениеПроцедурыОбработчика"];
ДлительностьПроцедурыОбработчика = СтатистикаВыполнения["ДлительностьПроцедурыОбработчика"];
СмещениеОтУниверсальнойДаты = ТекущаяДатаСеанса() - ТекущаяУниверсальнаяДата();
Если СтрокаОбработчика.Порядок = Перечисления.ПорядокОбработчиковОбновления.Критичный Тогда
ПорядокСтрокой = "Критичные";
ИначеЕсли СтрокаОбработчика.Порядок = Перечисления.ПорядокОбработчиковОбновления.Обычный Тогда
ПорядокСтрокой = "Обычные";
Иначе
ПорядокСтрокой = "Некритичные";
КонецЕсли;
Если НачалоПроцедурыОбработчика = Неопределено Или ЗавершениеПроцедурыОбработчика = Неопределено Тогда
СтрокаСтатистики = ТаблицаСтатистики.Добавить();
СтрокаСтатистики.Обработчик = ИмяОбработчика;
СтрокаСтатистики.Начало = СтатистикаВыполнения["НачалоОбработкиДанных"];
СтрокаСтатистики.Конец = СтатистикаВыполнения["ЗавершениеОбработкиДанных"];
СтрокаСтатистики.Длительность = СтатистикаВыполнения["ДлительностьВыполнения"];
СтрокаСтатистики.Статус = СтрокаОбработчика.Статус;
СтрокаСтатистики.Порядок = ПорядокСтрокой;
Иначе
Для Индекс = 0 По НачалоПроцедурыОбработчика.ВГраница() Цикл
СтрокаСтатистики = ТаблицаСтатистики.Добавить();
СтрокаСтатистики.Обработчик = ИмяОбработчика;
Если СтрокаОбработчика.Порядок = Перечисления.ПорядокОбработчиковОбновления.Обычный
И ДлительностьЭтаповОбновления.Некритичные.Начало <> Неопределено
И НачалоПроцедурыОбработчика[Индекс] + СмещениеОтУниверсальнойДаты >= ДлительностьЭтаповОбновления.Некритичные.Начало Тогда
СтрокаСтатистики.Обработчик = СтрокаСтатистики.Обработчик + "_" + "Некритичный";
СтрокаСтатистики.Порядок = "Некритичные";
Иначе
СтрокаСтатистики.Порядок = ПорядокСтрокой;
КонецЕсли;
СтрокаСтатистики.Статус = СтрокаОбработчика.Статус;
СтрокаСтатистики.Начало = НачалоПроцедурыОбработчика[Индекс];
СтрокаСтатистики.Конец = ЗавершениеПроцедурыОбработчика[Индекс];
СтрокаСтатистики.Длительность = ДлительностьПроцедурыОбработчика[Индекс];
КонецЦикла;
КонецЕсли;
КонецЦикла;
ТаблицаСтатистики.Сортировать("Начало, Длительность УБЫВ");
Возврат ТаблицаСтатистики;
КонецФункции
Процедура ДиаграммаГанта(ТаблицаСтатистики, ДокументРезультат)
Макет = ПолучитьМакет("ДиаграммаГанта");
ОбластьДиаграммы = Макет.ПолучитьОбласть("Диаграмма");
ДиаграммаГанта = ОбластьДиаграммы.Рисунки.ДиаграммаГанта.Объект; // ДиаграммаГанта
ДиаграммаГанта.Обновление = Ложь;
МинимальнаяДлительность = 0;
Генератор = Новый ГенераторСлучайныхЧисел(12);
Цвета = Новый Соответствие;
Серия = ДиаграммаГанта.УстановитьСерию(НСтр("ru = 'Длительность'"));
ШаблонПодсказки = НСтр("ru = '%1 сек., с %2 по %3 %4'");
Сведения = ОбновлениеИнформационнойБазыСлужебный.СведенияОбОбновленииИнформационнойБазы();
ОбновлениеЗавершено = (Сведения.ОтложенноеОбновлениеЗавершеноУспешно <> Неопределено);
ДлительностьЭтаповОбновления = Сведения.ДлительностьЭтаповОбновления;
СмещениеОтУниверсальнойДаты = ТекущаяДатаСеанса() - ТекущаяУниверсальнаяДата();
ОбщаяДлительность = ОбщаяДлительность(ДлительностьЭтаповОбновления);
ТочкиРодитель = Новый Массив;
НачалоОбновления = Неопределено;
КонецОбновления = Неопределено;
Для Каждого ЭтапОбновления Из ДлительностьЭтаповОбновления Цикл
Начало = ЭтапОбновления.Значение.Начало; // Дата
Конец = ЭтапОбновления.Значение.Конец; // Дата
Если Не ЗначениеЗаполнено(Начало) Тогда
Продолжить;
КонецЕсли;
Если Не ЗначениеЗаполнено(Конец) И Не ОбновлениеЗавершено Тогда
Конец = ТекущаяДатаСеанса();
КонецЕсли;
Если Не ЗначениеЗаполнено(Конец) Тогда
Продолжить;
КонецЕсли;
Если Конец - Начало = 0 Тогда
Продолжить;
КонецЕсли;
ДлительностьЭтапа = Конец - Начало;
ДлительностьЭтапаСтрокой = ОбновлениеИнформационнойБазыСлужебный.ДлительностьЭтапаСтрокой(ДлительностьЭтапа);
Если ОбновлениеЗавершено Тогда
ПроцентОтОбщейДлительности = Цел((ДлительностьЭтапа / ОбщаяДлительность) * 100);
Шаблон = НСтр("ru = '%1, %2% от общей длительности'");
ДлительностьЭтапаСтрокой = СтроковыеФункцииКлиентСервер.ПодставитьПараметрыВСтроку(Шаблон,
ДлительностьЭтапаСтрокой, ПроцентОтОбщейДлительности);
КонецЕсли;
Точка = ДиаграммаГанта.УстановитьТочку(Строка(ЭтапОбновления.Ключ));
Значение = ДиаграммаГанта.ПолучитьЗначение(Точка, Серия);
ИнтервалДлительности = Значение.Добавить();
ИнтервалДлительности.Текст = СтроковыеФункцииКлиентСервер.ПодставитьПараметрыВСтроку(НСтр("ru = 'Начало: %1
|Конец: %2
|Длительность: %3'"), Начало, Конец, ДлительностьЭтапаСтрокой);
ИнтервалДлительности.Начало = Начало - СмещениеОтУниверсальнойДаты;
ИнтервалДлительности.Конец = Конец - СмещениеОтУниверсальнойДаты;
ИнтервалДлительности.Цвет = СледующийЦвет(Цвета, ЭтапОбновления.Ключ, Генератор, Истина);
Если ЗначениеЗаполнено(Начало)
И НачалоОбновления = Неопределено Тогда
НачалоОбновления = Начало - СмещениеОтУниверсальнойДаты;
КонецЕсли;
Если ЗначениеЗаполнено(Конец) Тогда
КонецОбновления = Конец - СмещениеОтУниверсальнойДаты;
КонецЕсли;
Если ТочкиРодитель.Найти(Точка) = Неопределено Тогда
Точка.Шрифт = ШрифтыСтиля.ВажнаяНадписьШрифт;
ТочкиРодитель.Добавить(Точка);
КонецЕсли;
КонецЦикла;
ВсеТочки = Новый Массив;
ЕстьДанные = Ложь;
Для каждого СтрокаСтатистики Из ТаблицаСтатистики Цикл
Если СтрокаСтатистики.Длительность = 0 Тогда
Продолжить;
КонецЕсли;
ЕстьДанные = Истина;
ДлительностьСек = СтрокаСтатистики.Длительность / 1000;
Если ДлительностьСек >= МинимальнаяДлительность Тогда
Точка = ДиаграммаГанта.УстановитьТочку(СтрокаСтатистики.Обработчик, СтрокаСтатистики.Порядок);
Значение = ДиаграммаГанта.ПолучитьЗначение(Точка, Серия);
Если ВсеТочки.Найти(Точка) = Неопределено Тогда
ВсеТочки.Добавить(Точка);
КонецЕсли;
ТекстПодсказки = СтроковыеФункцииКлиентСервер.ПодставитьПараметрыВСтроку(ШаблонПодсказки,
ДлительностьСек,
СтрокаСтатистики.Начало + СмещениеОтУниверсальнойДаты,
СтрокаСтатистики.Конец + СмещениеОтУниверсальнойДаты);
ИнтервалДлительности = Значение.Добавить();
ИнтервалДлительности.Текст = ТекстПодсказки;
ИнтервалДлительности.Начало = СтрокаСтатистики.Начало;
ИнтервалДлительности.Конец = СтрокаСтатистики.Конец;
ИнтервалДлительности.Цвет = СледующийЦвет(Цвета, СтрокаСтатистики.Обработчик, Генератор, Истина);
КонецЕсли;
КонецЦикла;
Для Каждого Точка Из ТочкиРодитель Цикл
ДиаграммаГанта.СвернутьТочку(Точка, Истина);
КонецЦикла;
ДиаграммаГанта.ОбластьЛегенды.Расположение = РасположениеЛегендыДиаграммы.Нет;
ДиаграммаГанта.АвтоОпределениеПолногоИнтервала = Ложь;
ДиаграммаГанта.ВертикальнаяПрокрутка = Истина;
Если ЗначениеЗаполнено(НачалоОбновления) Тогда
ДиаграммаГанта.УстановитьПолныйИнтервал(НачалоОбновления, КонецОбновления);
КонецЕсли;
Если ЕстьДанные Тогда
ДокументРезультат.Вывести(ОбластьДиаграммы);
КонецЕсли;
КонецПроцедуры
Функция ОбщаяДлительность(ДлительностьЭтаповОбновления)
Длительность = 0;
Для Каждого ЭтапОбновления Из ДлительностьЭтаповОбновления Цикл
Начало = ЭтапОбновления.Значение.Начало; // Дата
Конец = ЭтапОбновления.Значение.Конец; // Дата
Если Не ЗначениеЗаполнено(Начало) Тогда
Продолжить;
КонецЕсли;
Если Не ЗначениеЗаполнено(Конец) Тогда
Продолжить;
КонецЕсли;
Если Конец - Начало = 0 Тогда
Продолжить;
КонецЕсли;
Длительность = Длительность + (Конец - Начало);
КонецЦикла;
Возврат Длительность;
КонецФункции
Функция СледующийЦвет(Цвета, ИмяОбработчика, Генератор, Точный)
Обработчик = Цвета[Точный];
Если Обработчик = Неопределено Тогда
Обработчик = Новый Соответствие;
Цвета[Точный] = Обработчик;
КонецЕсли;
Цвет = Обработчик[ИмяОбработчика];
Если Цвет = Неопределено Тогда
Если Точный Тогда
Красный = Генератор.СлучайноеЧисло(32, 192);
Зеленый = Генератор.СлучайноеЧисло(32, 192);
Синий = Генератор.СлучайноеЧисло(32, 192);
Цвет = Новый Цвет(Красный, Зеленый, Синий); //@skip-check new-color - для информативности диаграммы ганта.
Иначе
Серый = Генератор.СлучайноеЧисло(32, 192);
Цвет = Новый Цвет(Серый, Серый, Серый); //@skip-check new-color - для информативности диаграммы ганта.
КонецЕсли;
Обработчик[ИмяОбработчика] = Цвет;
КонецЕсли;
Возврат Цвет;
КонецФункции
#КонецОбласти
#Иначе
ВызватьИсключение НСтр("ru = 'Недопустимый вызов объекта на клиенте.'");
#КонецЕсли | 16,693 | ObjectModule | bsl | ru | 1c enterprise | code | {"qsc_code_num_words": 1181, "qsc_code_num_chars": 16693.0, "qsc_code_mean_word_length": 11.21083827, "qsc_code_frac_words_unique": 0.26756986, "qsc_code_frac_chars_top_2grams": 0.00883686, "qsc_code_frac_chars_top_3grams": 0.01450151, "qsc_code_frac_chars_top_4grams": 0.00845921, "qsc_code_frac_chars_dupe_5grams": 0.1592145, "qsc_code_frac_chars_dupe_6grams": 0.11714502, "qsc_code_frac_chars_dupe_7grams": 0.08270393, "qsc_code_frac_chars_dupe_8grams": 0.07651057, "qsc_code_frac_chars_dupe_9grams": 0.06910876, "qsc_code_frac_chars_dupe_10grams": 0.06910876, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00496092, "qsc_code_frac_chars_whitespace": 0.11849278, "qsc_code_size_file_byte": 16693.0, "qsc_code_num_lines": 422.0, "qsc_code_num_chars_line_max": 140.0, "qsc_code_num_chars_line_mean": 39.55687204, "qsc_code_frac_chars_alphabet": 0.89473327, "qsc_code_frac_chars_comments": 0.99370994, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 1, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1ytic/warp-rnnt | core_compact.cu | #include "core.h"
#include <algorithm>
#include <assert.h>
#include <cuda_runtime_api.h>
#include <device_atomic_functions.h>
#include <device_launch_parameters.h>
#define G 1024
#define WL 512
#define B 256
#define W 32
#define H 16
__forceinline__ __device__ static float logaddexpf(float a, float b) {
float const tmp = a - b;
if (a == b)
return (float)(a + M_LN2);
if (tmp > 0)
return a + log1pf(expf(-tmp));
else if (tmp <= 0)
return b + log1pf(expf(tmp));
// in case of overflow
return tmp;
}
__global__ void
kernel_warp_alphas_compact(unsigned int *counts, volatile float *alphas,
const float *log_probs, const unsigned int *xn,
const unsigned int *yn, const unsigned int *memPref,
const unsigned int *labelPref) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y + 1;
unsigned int n = blockIdx.z;
unsigned int p = g * W;
unsigned int t = p + d + 1;
unsigned int actual_t = xn[n];
unsigned int actual_u = yn[n] + 1;
if (t > actual_t || u > actual_u)
return;
unsigned int mem_loc = memPref[n];
unsigned int mem_beg = mem_loc << 1;
unsigned int *lock = counts + ((labelPref[n] + n) << 1) + blockIdx.y;
if (blockIdx.x == 0 && blockIdx.y == 0) {
// initialize the state as log(p) = 0.
// alphas[n, 0, 0] = 0;
alphas[mem_loc] = 0.0f;
}
if (blockIdx.x > 0) {
// Wait previous row
do {
} while (atomicAdd(lock, 0) < g);
}
if (blockIdx.y > 0) {
// Wait previous column
do {
} while (atomicAdd(lock - 1, 0) <= g);
}
if (blockIdx.x == 0 && u < actual_u) {
// Compute initial row value
// a = alphas[n, 0, u-1]
float a = alphas[mem_loc + u - 1];
// b = log_probs[n, 0, u-1, 1]
float b = log_probs[mem_beg + (u << 1) -
1]; // should be [mem_beg + 2 * (u-1) +
// 1] in a more readable manner.
// alphas[n, 0, u] = a + b
alphas[mem_loc + u] = a + b;
}
if (blockIdx.y == 0 && t < actual_t) {
// Compute initial column with local scan algorithm
float a;
// b = log_probs[n, t-1, 0, 0]
float b = log_probs[mem_beg + ((t - 1) * actual_u << 1)];
#pragma unroll
for (unsigned int i = 1; i < W; i *= 2) {
a = __shfl_up_sync(0xffffffff, b, i);
if (i <= d) {
b += a;
}
}
// a = alphas[n, p, 0]
a = alphas[mem_loc + p * actual_u];
// alphas[n, t, 0] = a + b;
alphas[mem_loc + t * actual_u] = a + b;
}
if (t < actual_t && u < actual_u) {
// Ready to compute alphas[t, u]
// bias = log_probs[n, t-1, u, 0]
float bias = log_probs[mem_beg + (((t - 1) * actual_u + u) << 1)];
// skip = alphas[n, p, u] + bias
float skip = alphas[mem_loc + p * actual_u + u] + bias;
// emit = alphas[n, t, u-1] + log_probs[n, t, u-1, 1]
float emit = alphas[mem_loc + t * actual_u + u - 1] +
log_probs[mem_beg + ((t * actual_u + u) << 1) - 1];
float r = logaddexpf(skip, emit);
float output = r;
for (unsigned int i = 1; i < W; i++) {
r = __shfl_up_sync(0xffffffff, r, 1);
if (i == d) {
r = logaddexpf(r + bias, emit);
output = r;
}
}
// alphas[n, t, u] = output
alphas[mem_loc + t * actual_u + u] = output;
}
if (d == 0) {
// https://stackoverflow.com/a/5233737
__threadfence();
atomicAdd(lock, 1);
}
}
__global__ void
kernel_warp_betas_compact(unsigned int *counts, volatile float *betas,
const float *log_probs, const unsigned int *xn,
const unsigned int *yn, const unsigned int *memPref,
const unsigned int *labelPref) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y + 1;
unsigned int n = blockIdx.z;
unsigned int p = g * W;
unsigned int t = p + d + 1;
assert(d < W);
assert(blockDim.x == W);
unsigned int actual_t = xn[n];
unsigned int actual_u = yn[n] + 1;
if (t > actual_t || u > actual_u)
return;
// int T1 = actual_t - 1;
// int U1 = actual_u - 1;
unsigned int _val = actual_t * actual_u - u;
unsigned int _valm1 = _val - 1;
unsigned int mem_loc = memPref[n];
unsigned int mem_beg = mem_loc << 1;
unsigned int *lock =
counts + ((labelPref[n] + n) << 1) + actual_u + blockIdx.y;
if (blockIdx.x == 0 && blockIdx.y == 0) {
// betas[n, T1, U1] = log_probs[n, T1, U1, 0]
betas[mem_loc + _valm1 + u] = log_probs[mem_beg + ((_valm1 + u) << 1)];
}
if (blockIdx.x > 0) {
// Wait previous row
do {
} while (atomicAdd(lock, 0) < g);
}
if (blockIdx.y > 0) {
// Wait previous column
do {
} while (atomicAdd(lock - 1, 0) <= g);
}
if (blockIdx.x == 0 && u < actual_u) {
// Compute last row value
// a = betas[n, T1, U1-u+1]
float a = betas[mem_loc + _val];
// b = log_probs[n, T1, U1-u, 1]
float b = log_probs[mem_beg + (_val << 1) - 1];
// betas[n, T1, U1-u] = a + b
betas[mem_loc + _valm1] = a + b;
}
if (blockIdx.y == 0 && t < actual_t) {
// Compute last column with local scan algorithm
float a;
// b = log_probs[n, T1-t, U1, 0]
float b = log_probs[mem_beg + ((_valm1 + u - t * actual_u) << 1)];
#pragma unroll
for (unsigned int i = 1; i < W; i *= 2) {
a = __shfl_up_sync(0xffffffff, b, i);
if (i <= d) {
b += a;
}
}
// a = betas[n, T1-p, U1]
a = betas[mem_loc + _valm1 + u - p * actual_u];
// betas[n, T1 - t, U1] = a + b;
betas[mem_loc + _valm1 + u - t * actual_u] = a + b;
}
if (t < actual_t && u < actual_u) {
// Ready to compute betas[T1-t, U1-u]
// bias = log_probs[n, T1 - t, U1 - u, 0];
float bias = log_probs[mem_beg + ((_valm1 - t * actual_u) << 1)];
// skip = betas[n, T1 - p, U1 - u] + bias;
float skip = betas[mem_loc + _valm1 - p * actual_u] + bias;
// emit = betas[n, T1 - t, U1 - u + 1] + log_probs[n, T1 - t, U1 - u,
// 1];
float emit = betas[mem_loc + _val - t * actual_u] +
log_probs[mem_beg + ((_val - t * actual_u) << 1) - 1];
float r = logaddexpf(skip, emit);
float output = r;
for (unsigned int i = 1; i < W; i++) {
r = __shfl_up_sync(0xffffffff, r, 1);
if (i == d) {
r = logaddexpf(r + bias, emit);
output = r;
}
}
// betas[n, T1 - t, U1 - u] = output;
betas[mem_loc + _valm1 - t * actual_u] = output;
}
if (d == 0) {
// https://stackoverflow.com/a/5233737
__threadfence();
atomicAdd(lock, 1);
}
}
__global__ void kernel_grads_blank_compact(float *grads, const float *alphas,
const float *betas,
const float *log_probs,
const unsigned int *xn,
const unsigned int *yn,
const unsigned int *memPref) {
unsigned int u = blockIdx.y;
unsigned int n = blockIdx.z;
unsigned int t = blockIdx.x * blockDim.x + threadIdx.x;
unsigned int tmax = xn[n] - 1;
unsigned int actual_u = yn[n] + 1;
if (t > tmax || u >= actual_u)
return;
if (t == tmax && u < actual_u - 1) {
grads[(memPref[n] + t * actual_u + u) << 1] = 0.0f;
return;
}
unsigned int mem_loc = memPref[n];
// a = alphas[n, t, u];
float a = alphas[mem_loc + t * actual_u + u];
if (t < tmax) {
// a += betas[n, t + 1, u];
a += betas[mem_loc + (t + 1) * actual_u + u];
}
// index = (n, t, u, 0);
unsigned int index = (mem_loc + (t * actual_u + u)) << 1;
// -expf(a + log_probs[index] - betas[n, 0, 0]);
grads[index] = -expf(a + log_probs[index] - betas[mem_loc]);
}
__global__ void kernel_grads_label_compact(
float *grads, const float *alphas, const float *betas,
const float *log_probs, const unsigned int *xn, const unsigned int *yn,
const unsigned int *memPref, const unsigned int *labelPref,
float fastemit_lambda) {
unsigned int u = blockIdx.y;
unsigned int n = blockIdx.z;
unsigned int t = blockIdx.x * blockDim.x + threadIdx.x;
if (t >= xn[n] || u > yn[n])
return;
if (u == yn[n]) {
grads[((memPref[n] + t * (u + 1) + u) << 1) + 1] = 0.0f;
return;
}
unsigned int mem_loc = memPref[n];
unsigned int mem_beg = mem_loc << 1;
unsigned int _index = t * (yn[n] + 1) + u;
// a = alphas[n, t, u] + betas[n, t, u + 1];
float a = alphas[mem_loc + _index] + betas[mem_loc + _index + 1];
// index = (n, t, u, 1);
unsigned int index = mem_beg + (_index << 1) + 1;
// a = expf(a + log_probs[index] - betas[n, 0, 0]);
a = expf(a + log_probs[index] - betas[mem_loc]);
// apply FastEmit regularization
// https://arxiv.org/abs/2010.11148
a = (1. + fastemit_lambda) * a;
grads[index] = -a;
}
__global__ void kernel_fill_costs_compact(float *costs, const float *betas,
const unsigned int *memPref,
unsigned int N) {
unsigned int n = blockIdx.x * blockDim.x + threadIdx.x;
if (n >= N)
return;
// b = betas[n, 0, 0]
costs[n] = -betas[memPref[n]];
}
void run_warp_rnnt_compact(unsigned int *counts, float *alphas, float *betas,
const float *log_probs, float *grads, float *costs,
const unsigned int *xn, const unsigned int *yn,
const unsigned int *memPref,
const unsigned int *labelPref, unsigned int N,
unsigned int T, unsigned int U,
float fastemit_lambda, bool required_grad) {
dim3 threads1(W);
dim3 blocks1((T + W - 1) / W, U, N);
// if not require grad, cal beta only, useful in inference mode
kernel_warp_betas_compact<<<blocks1, threads1>>>(
counts, betas, log_probs, xn, yn, memPref, labelPref);
CHECK_KERNEL_STAT("rnnt loss compact betas");
dim3 blocks4((N + B - 1) / B, 1, 1);
kernel_fill_costs_compact<<<blocks4, B>>>(costs, betas, memPref, N);
CHECK_KERNEL_STAT("rnnt loss compact filling costs")
if (required_grad) {
kernel_warp_alphas_compact<<<blocks1, threads1>>>(
counts, alphas, log_probs, xn, yn, memPref, labelPref);
CHECK_KERNEL_STAT("rnnt loss compact alphas")
dim3 blocks2((T + G - 1) / G, U, N);
kernel_grads_blank_compact<<<blocks2, G>>>(grads, alphas, betas,
log_probs, xn, yn, memPref);
CHECK_KERNEL_STAT("rnnt loss compact computing gradients for blank")
if (U > 1) {
dim3 blocks3((T + G - 1) / G, U - 1, N);
kernel_grads_label_compact<<<blocks3, G>>>(
grads, alphas, betas, log_probs, xn, yn, memPref, labelPref,
fastemit_lambda);
CHECK_KERNEL_STAT(
"rnnt loss compact computing gradients for labels")
}
}
return;
}
__global__ void kernel_fill_gather(const float *xs, const int *ys,
const unsigned int *xn,
const unsigned int *yn, float *gather_xs,
long *loc, const unsigned int *memPref,
const unsigned int *labelPref,
unsigned int V, unsigned int blank) {
unsigned int t = blockIdx.x * W + threadIdx.x;
unsigned int u = blockIdx.y * H + threadIdx.y;
unsigned int n = blockIdx.z;
unsigned int actual_t = xn[n];
unsigned int actual_u = yn[n] + 1;
if (t >= actual_t || u >= actual_u)
return;
unsigned int mem_loc = memPref[n];
// l = ys(n, u)
unsigned int _index = mem_loc + t * actual_u + u;
float *ptr_gather = gather_xs + (_index << 1);
// gather_xs(n, t, u, 0) = xs(n, t, u, blank)
*(ptr_gather++) = xs[_index * V + blank];
unsigned int l;
if (u == yn[n]) {
// last row
l = blank;
} else {
l = ys[labelPref[n] + u];
}
loc[_index] = l;
// gather_xs(n, t, u, 1) = xs(n, t, u, l)
*ptr_gather = xs[_index * V + l];
}
void run_gather_for_compact(const float *xs, const int *ys,
const unsigned int *xn, const unsigned int *yn,
float *gather_xs, long *loc,
const unsigned int *memPref,
const unsigned int *labelPref, unsigned int N,
unsigned int T, unsigned int U, unsigned int V,
unsigned int blank) {
dim3 threads(W, H);
dim3 blocks((T + W - 1) / W, (U + H - 1) / H, N);
kernel_fill_gather<<<blocks, threads>>>(xs, ys, xn, yn, gather_xs, loc,
memPref, labelPref, V, blank);
CHECK_KERNEL_STAT("rnnt loss gather for compact")
return;
}
__global__ void kernel_fill_scatter_grad(const float *grad_cost,
const float *gather_grad,
const long *loc, const int *cum_lens,
float *scatter_grad, unsigned int STU,
unsigned int V, unsigned int N,
unsigned int blank) {
unsigned int i = (blockIdx.y * gridDim.x + blockIdx.x) * W + threadIdx.x;
if (i >= STU)
return;
// must be signed int
int l = 0;
int r = N - 1;
// we need to clarify which batch the thread-i belongs to.
unsigned int n;
while (l <= r) {
n = l + (r - l) / 2;
if (i >= cum_lens[n]) {
l = n + 1;
} else {
r = n - 1;
}
}
n = l;
scatter_grad[i * V + blank] = gather_grad[i << 1] * grad_cost[n];
if (loc[i] != blank)
scatter_grad[i * V + loc[i]] = gather_grad[(i << 1) + 1] * grad_cost[n];
}
void run_scatter_grad_for_compact(const float *grad_cost,
const float *gather_grad, const long *loc,
const int *cum_lens, float *scatter_grad,
unsigned int STU, unsigned int N,
unsigned int V, unsigned int blank) {
dim3 threads(W);
// avoid dim-x to be too large
dim3 blocks(((W + STU - 1) / W + W - 1) / W, W);
kernel_fill_scatter_grad<<<blocks, threads>>>(
grad_cost, gather_grad, loc, cum_lens, scatter_grad, STU, V, N, blank);
CHECK_KERNEL_STAT("rnnt loss filling scatter grad")
return;
}
| 15,512 | core_compact | cu | en | cuda | code | {"qsc_code_num_words": 2068, "qsc_code_num_chars": 15512.0, "qsc_code_mean_word_length": 3.59719536, "qsc_code_frac_words_unique": 0.094294, "qsc_code_frac_chars_top_2grams": 0.15230542, "qsc_code_frac_chars_top_3grams": 0.06022315, "qsc_code_frac_chars_top_4grams": 0.01693776, "qsc_code_frac_chars_dupe_5grams": 0.66258906, "qsc_code_frac_chars_dupe_6grams": 0.59766098, "qsc_code_frac_chars_dupe_7grams": 0.53770668, "qsc_code_frac_chars_dupe_8grams": 0.50396559, "qsc_code_frac_chars_dupe_9grams": 0.48312945, "qsc_code_frac_chars_dupe_10grams": 0.42196532, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02583555, "qsc_code_frac_chars_whitespace": 0.37119649, "qsc_code_size_file_byte": 15512.0, "qsc_code_num_lines": 500.0, "qsc_code_num_chars_line_max": 81.0, "qsc_code_num_chars_line_mean": 31.024, "qsc_code_frac_chars_alphabet": 0.73682592, "qsc_code_frac_chars_comments": 0.12744972, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.37878788, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.01751016, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0029553, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.00909091} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1ytic/warp-rnnt | core.cu | #include "core.h"
#include <stdio.h>
#include <assert.h>
#include <algorithm>
#include <cuda_runtime_api.h>
#include <device_atomic_functions.h>
#include <device_launch_parameters.h>
#define W 32
#define G 1024
#define B 256
__forceinline__ __device__ static int idx2(int n, int u, int U1) {
return n * U1 + u;
}
__forceinline__ __device__ static int idx3(int n, int t, int u, int T, int U) {
return n * (T * U) + t * U + u;
}
__forceinline__ __device__ static int idx4(int n, int t, int u, int v, int T, int U, int V) {
return n * (T * U * V) + t * (U * V) + u * V + v;
}
__forceinline__ __device__ static float log_sum_exp(float a, float b) {
float maximum, diff;
if (a > b) {
maximum = a;
diff = b-a;
} else {
maximum = b;
diff = a-b;
}
//if (diff > -42) {
maximum += log1pf(expf(diff));
//}
return maximum;
}
__device__
void kernel_warp_alphas(unsigned int *counts, volatile float *alphas,
const int *labels, const float *log_probs,
const int *xn, const int *yn, int T, int U, int V, int blank) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y + 1;
unsigned int n = blockIdx.z;
unsigned int p = g * W;
unsigned int t = p + d + 1;
assert (d < W);
assert (u <= U);
assert (gridDim.y == U);
assert (blockDim.x == W);
int actual_t = xn[n];
int actual_u = yn[n] + 1;
if (t > actual_t || u > actual_u)
return;
unsigned int *lock = counts + n * U * 2 + blockIdx.y;
if (blockIdx.x == 0 && blockIdx.y == 0) {
alphas[idx3(n, 0, 0, T, U)] = 0;
}
if (blockIdx.x > 0) {
// Wait previous row
do {} while (atomicAdd(lock, 0) < g);
}
if (blockIdx.y > 0) {
// Wait previous column
do {} while (atomicAdd(lock-1, 0) <= g);
}
if (blockIdx.x == 0 && u < actual_u) {
// Compute initial row value
unsigned int l = labels[idx2(n, u-1, U-1)];
float a = alphas[idx3(n, 0, u-1, T, U)];
float b = log_probs[idx4(n, 0, u-1, l, T, U, V)];
alphas[idx3(n, 0, u, T, U)] = a + b;
}
if (blockIdx.y == 0 && t < actual_t) {
// Compute initial column with local scan algorithm
float a;
float b = log_probs[idx4(n, t-1, 0, blank, T, U, V)];
#pragma unroll
for(unsigned int i = 1; i < W; i *= 2) {
a = __shfl_up_sync(0xffffffff, b, i);
if (i <= d) {
b += a;
}
}
a = alphas[idx3(n, p, 0, T, U)];
alphas[idx3(n, t, 0, T, U)] = a + b;
}
if (t < actual_t && u < actual_u) {
// Ready to compute alphas[t, u]
unsigned int l = labels[idx2(n, u-1, U-1)];
float bias = log_probs[idx4(n, t-1, u, blank, T, U, V)];
float skip = alphas[idx3(n, p, u, T, U)] + bias;
float emit = alphas[idx3(n, t, u-1, T, U)] + log_probs[idx4(n, t, u-1, l, T, U, V)];
float r = log_sum_exp(skip, emit);
float output = r;
for(unsigned int i = 1; i < W; i++) {
r = __shfl_up_sync(0xffffffff, r, 1);
if (i == d) {
r = log_sum_exp(r + bias, emit);
output = r;
}
}
alphas[idx3(n, t, u, T, U)] = output;
}
if (d == 0) {
// https://stackoverflow.com/a/5233737
__threadfence();
atomicAdd(lock, 1);
}
}
__device__
void kernel_warp_betas(unsigned int *counts, volatile float *betas,
const int *labels, const float *log_probs,
const int *xn, const int *yn, int T, int U, int V, int blank) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y + 1;
unsigned int n = blockIdx.z;
unsigned int p = g * W;
unsigned int t = p + d + 1;
assert (d < W);
assert (u <= U);
assert (gridDim.y == U);
assert (blockDim.x == W);
int actual_t = xn[n];
int actual_u = yn[n] + 1;
if (t > actual_t || u > actual_u)
return;
int T1 = actual_t - 1;
int U1 = actual_u - 1;
unsigned int *lock = counts + n * U * 2 + U + blockIdx.y;
if (blockIdx.x == 0 && blockIdx.y == 0) {
betas[idx3(n, T1, U1, T, U)] = log_probs[idx4(n, T1, U1, blank, T, U, V)];
}
if (blockIdx.x > 0) {
// Wait previous row
do {} while (atomicAdd(lock, 0) < g);
}
if (blockIdx.y > 0) {
// Wait previous column
do {} while (atomicAdd(lock-1, 0) <= g);
}
if (blockIdx.x == 0 && u < actual_u) {
// Compute last row value
unsigned int l = labels[idx2(n, U1-u, U-1)];
float a = betas[idx3(n, T1, U1-u+1, T, U)];
float b = log_probs[idx4(n, T1, U1-u, l, T, U, V)];
betas[idx3(n, T1, U1-u, T, U)] = a + b;
}
if (blockIdx.y == 0 && t < actual_t) {
// Compute last column with local scan algorithm
float a;
float b = log_probs[idx4(n, T1-t, U1, blank, T, U, V)];
#pragma unroll
for(unsigned int i = 1; i < W; i *= 2) {
a = __shfl_up_sync(0xffffffff, b, i);
if (i <= d) {
b += a;
}
}
a = betas[idx3(n, T1-p, U1, T, U)];
betas[idx3(n, T1-t, U1, T, U)] = a + b;
}
if (t < actual_t && u < actual_u) {
// Ready to compute betas[T1-t, U1-u]
unsigned int l = labels[idx2(n, U1-u, U-1)];
float bias = log_probs[idx4(n, T1-t, U1-u, blank, T, U, V)];
float skip = betas[idx3(n, T1-p, U1-u, T, U)] + bias;
float emit = betas[idx3(n, T1-t, U1-u+1, T, U)] + log_probs[idx4(n, T1-t, U1-u, l, T, U, V)];
float r = log_sum_exp(skip, emit);
float output = r;
for(unsigned int i = 1; i < W; i++) {
r = __shfl_up_sync(0xffffffff, r, 1);
if (i == d) {
r = log_sum_exp(r + bias, emit);
output = r;
}
}
betas[idx3(n, T1-t, U1-u, T, U)] = output;
}
if (d == 0) {
// https://stackoverflow.com/a/5233737
__threadfence();
atomicAdd(lock, 1);
}
}
__global__
void kernel_warp(unsigned int *counts, volatile float *alphas, volatile float *betas,
const int *labels, const float *log_probs,
const int *xn, const int *yn, int T, int U, int V, int blank) {
if (threadIdx.y == 0) {
kernel_warp_alphas(counts, alphas, labels, log_probs, xn, yn, T, U, V, blank);
}
else if (threadIdx.y == 1) {
kernel_warp_betas(counts, betas, labels, log_probs, xn, yn, T, U, V, blank);
}
}
__global__
void kernel_grads_blank(float *grads, const float *alphas, const float *betas, const float *log_probs,
const int *xn, const int *yn, int T, int U, int V, int blank) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y;
unsigned int n = blockIdx.z;
unsigned int t = g * G + d;
assert (u < U);
assert (d < G);
assert (blockDim.x == G);
assert (gridDim.y == U);
int actual_t = xn[n];
int actual_u = yn[n] + 1;
if (t >= actual_t || u >= actual_u)
return;
if (t == actual_t-1 && u < actual_u-1)
return;
float a = alphas[idx3(n, t, u, T, U)];
if (t < actual_t-1) {
a += betas[idx3(n, t+1, u, T, U)];
}
unsigned int index = idx4(n, t, u, blank, T, U, V);
a = expf(a + log_probs[index] - betas[idx3(n, 0, 0, T, U)]);
grads[index] = -a;
}
__global__
void kernel_grads_label(float *grads, const float *alphas, const float *betas,
const int *labels, const float *log_probs,
const int *xn, const int *yn, int T, int U, int V, float fastemit_lambda) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y;
unsigned int n = blockIdx.z;
unsigned int t = g * G + d;
assert (u < U - 1);
assert (d < G);
assert (blockDim.x == G);
assert (gridDim.y == U - 1);
int actual_t = xn[n];
int actual_u = yn[n];
if (t >= actual_t || u >= actual_u)
return;
unsigned int l = labels[idx2(n, u, U-1)];
float a = alphas[idx3(n, t, u, T, U)] + betas[idx3(n, t, u+1, T, U)];
unsigned int index = idx4(n, t, u, l, T, U, V);
a = expf(a + log_probs[index] - betas[idx3(n, 0, 0, T, U)]);
// apply FastEmit regularization
// https://arxiv.org/abs/2010.11148
a = (1. + fastemit_lambda) * a;
grads[index] = -a;
}
__global__
void kernel_fill_costs(float *costs, float *grads, const float *alphas, const float *betas, const float *log_probs,
const int *xn, const int *yn, int N, int T, int U, int V, int blank) {
unsigned int n = blockIdx.x * blockDim.x + threadIdx.x;
if (n >= N)
return;
int t = xn[n] - 1;
int u = yn[n];
float a = alphas[idx3(n, t, u, T, U)] + log_probs[idx4(n, t, u, blank, T, U, V)];
float b = betas[idx3(n, 0, 0, T, U)];
float ratio = fabsf(a - b) / fabsf(fmaxf(a, b));
if (ratio > 0.001) {
printf("\nWARNING: sample %d [%d, %d] has a forward/backward mismatch %f / %f\n",
n, t + 1, u, a, b);
float *g = grads + idx4(n, 0, 0, 0, T, U, V);
for (int i = 0; i < T; ++i) {
for (int j = 0; j < U; ++j) {
for (int v = 0; v < V; ++v, ++g) {
*g = 0;
}
}
}
b = (a + b) / 2.0f;
}
costs[n] = -b;
}
rnntStatus_t run_warp_rnnt(cudaStream_t stream, unsigned int *counts, float *alphas, float *betas,
const int *labels, const float *log_probs, float *grads, float *costs,
const int *xn, const int *yn, int N, int T, int U, int V, int blank, float fastemit_lambda) {
dim3 threads1(W, 2);
dim3 blocks1((T + W - 1) / W, U, N);
kernel_warp <<<blocks1, threads1, 0, stream>>> (counts, alphas, betas, labels, log_probs, xn, yn, T, U, V, blank);
if (cudaGetLastError() != cudaSuccess)
return RNNT_STATUS_WARP_FAILED;
dim3 blocks2((T + G - 1) / G, U, N);
kernel_grads_blank <<<blocks2, G, 0, stream>>> (grads, alphas, betas, log_probs, xn, yn, T, U, V, blank);
if (cudaGetLastError() != cudaSuccess)
return RNNT_STATUS_GRADS_BLANK_FAILED;
if (U > 1) {
dim3 blocks3((T + G - 1) / G, U - 1, N);
kernel_grads_label <<<blocks3, G, 0, stream>>> (grads, alphas, betas, labels, log_probs, xn, yn, T, U, V, fastemit_lambda);
if (cudaGetLastError() != cudaSuccess)
return RNNT_STATUS_GRADS_LABEL_FAILED;
}
dim3 blocks4((N + B - 1) / B, 1, 1);
kernel_fill_costs <<<blocks4, B, 0, stream>>> (costs, grads, alphas, betas, log_probs, xn, yn, N, T, U, V, blank);
if (cudaGetLastError() != cudaSuccess)
return RNNT_STATUS_COSTS_FAILED;
return RNNT_STATUS_SUCCESS;
}
| 11,104 | core | cu | en | cuda | code | {"qsc_code_num_words": 1704, "qsc_code_num_chars": 11104.0, "qsc_code_mean_word_length": 3.26115023, "qsc_code_frac_words_unique": 0.09037559, "qsc_code_frac_chars_top_2grams": 0.02303401, "qsc_code_frac_chars_top_3grams": 0.01133705, "qsc_code_frac_chars_top_4grams": 0.01583588, "qsc_code_frac_chars_dupe_5grams": 0.74032751, "qsc_code_frac_chars_dupe_6grams": 0.71189491, "qsc_code_frac_chars_dupe_7grams": 0.65880871, "qsc_code_frac_chars_dupe_8grams": 0.60320317, "qsc_code_frac_chars_dupe_9grams": 0.58052906, "qsc_code_frac_chars_dupe_10grams": 0.52780277, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.03250067, "qsc_code_frac_chars_whitespace": 0.32943084, "qsc_code_size_file_byte": 11104.0, "qsc_code_num_lines": 401.0, "qsc_code_num_chars_line_max": 132.0, "qsc_code_num_chars_line_mean": 27.69077307, "qsc_code_frac_chars_alphabet": 0.71380607, "qsc_code_frac_chars_comments": 0.04394813, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.45, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.00357143, "qsc_code_frac_chars_string_length": 0.0072532, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0037679, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.06071429} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 1, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1c-syntax/ssl_3_1 | src/cf/Reports/ИзменениеУчастниковГруппПользователей/Ext/ManagerModule.bsl | ///////////////////////////////////////////////////////////////////////////////////////////////////////
// Copyright (c) 2024, ООО 1С-Софт
// Все права защищены. Эта программа и сопроводительные материалы предоставляются
// в соответствии с условиями лицензии Attribution 4.0 International (CC BY 4.0)
// Текст лицензии доступен по ссылке:
// https://creativecommons.org/licenses/by/4.0/legalcode
///////////////////////////////////////////////////////////////////////////////////////////////////////
#Если Сервер Или ТолстыйКлиентОбычноеПриложение Или ВнешнееСоединение Тогда
#Область ПрограммныйИнтерфейс
#Область ДляВызоваИзДругихПодсистем
// СтандартныеПодсистемы.ВариантыОтчетов
// См. ВариантыОтчетовПереопределяемый.ПередДобавлениемКомандОтчетов.
Процедура ПередДобавлениемКомандОтчетов(КомандыОтчетов, Параметры, СтандартнаяОбработка) Экспорт
Если Не ОбщегоНазначения.ПодсистемаСуществует("СтандартныеПодсистемы.ВариантыОтчетов")
Или Не ПравоДоступа("Просмотр", Метаданные.Отчеты.ИзменениеУчастниковГруппПользователей)
Или СтандартныеПодсистемыСервер.ЭтоБазоваяВерсияКонфигурации() Тогда
Возврат;
КонецЕсли;
Представление = Неопределено;
Если Параметры.ИмяФормы = "Справочник.Пользователи.Форма.ФормаСписка" Тогда
Представление = НСтр("ru = 'Изменение участников групп пользователей'");
КлючВарианта = "ИзменениеУчастниковГруппПользователей";
ИначеЕсли Параметры.ИмяФормы = "Справочник.Пользователи.Форма.ФормаЭлемента" Тогда
Представление = НСтр("ru = 'Изменение участия в группах пользователей'");
КлючВарианта = "ИзменениеУчастниковГруппПользователей";
ИначеЕсли Параметры.ИмяФормы = "Справочник.ВнешниеПользователи.Форма.ФормаСписка" Тогда
Представление = НСтр("ru = 'Изменение участников групп внешних пользователей'");
КлючВарианта = "ИзменениеУчастниковГруппВнешнихПользователей";
ИначеЕсли Параметры.ИмяФормы = "Справочник.ВнешниеПользователи.Форма.ФормаЭлемента" Тогда
Представление = НСтр("ru = 'Изменение участия в группах внешних пользователей'");
КлючВарианта = "ИзменениеУчастниковГруппВнешнихПользователей";
КонецЕсли;
Если Представление = Неопределено Тогда
Возврат;
КонецЕсли;
Команда = КомандыОтчетов.Добавить();
Команда.Представление = Представление;
Команда.Менеджер = "Отчет.ИзменениеУчастниковГруппПользователей";
Команда.КлючВарианта = КлючВарианта;
Команда.ТолькоВоВсехДействиях = Истина;
Команда.Важность = "СмТакже";
Если КлючВарианта = "ИзменениеУчастниковГруппВнешнихПользователей" Тогда
Команда.ФункциональныеОпции = "ИспользоватьВнешнихПользователей";
КонецЕсли;
КонецПроцедуры
// Параметры:
// Настройки - см. ВариантыОтчетовПереопределяемый.НастроитьВариантыОтчетов.Настройки.
// НастройкиОтчета - см. ВариантыОтчетов.ОписаниеОтчета.
//
Процедура НастроитьВариантыОтчета(Настройки, НастройкиОтчета) Экспорт
Если Не ОбщегоНазначения.ПодсистемаСуществует("СтандартныеПодсистемы.ВариантыОтчетов") Тогда
Возврат;
КонецЕсли;
МодульВариантыОтчетов = ОбщегоНазначения.ОбщийМодуль("ВариантыОтчетов");
НастройкиОтчета.ОпределитьНастройкиФормы = Истина;
НастройкиОтчета.ГруппироватьПоОтчету = Ложь;
НастройкиВарианта = МодульВариантыОтчетов.ОписаниеВарианта(Настройки, НастройкиОтчета, "ИзменениеУчастниковГруппПользователей");
НастройкиВарианта.Описание =
НСтр("ru = 'Выводит изменения состава групп пользователей с учетом иерархии за указанный период по событиям журнала регистрации.'");
НастройкиВарианта = МодульВариантыОтчетов.ОписаниеВарианта(Настройки, НастройкиОтчета, "ИзменениеУчастниковГруппВнешнихПользователей");
НастройкиВарианта.ФункциональныеОпции.Добавить("ИспользоватьВнешнихПользователей");
НастройкиВарианта.Описание =
НСтр("ru = 'Выводит изменения состава групп внешних пользователей с учетом иерархии за указанный период по событиям журнала регистрации.'");
КонецПроцедуры
// Конец СтандартныеПодсистемы.ВариантыОтчетов
#КонецОбласти
#КонецОбласти
#КонецЕсли
| 3,920 | ManagerModule | bsl | ru | 1c enterprise | code | {"qsc_code_num_words": 288, "qsc_code_num_chars": 3920.0, "qsc_code_mean_word_length": 10.63194444, "qsc_code_frac_words_unique": 0.43402778, "qsc_code_frac_chars_top_2grams": 0.01175702, "qsc_code_frac_chars_top_3grams": 0.03527106, "qsc_code_frac_chars_top_4grams": 0.03135206, "qsc_code_frac_chars_dupe_5grams": 0.38242978, "qsc_code_frac_chars_dupe_6grams": 0.31482691, "qsc_code_frac_chars_dupe_7grams": 0.2906597, "qsc_code_frac_chars_dupe_8grams": 0.17112998, "qsc_code_frac_chars_dupe_9grams": 0.13259308, "qsc_code_frac_chars_dupe_10grams": 0.09079033, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00310296, "qsc_code_frac_chars_whitespace": 0.09566327, "qsc_code_size_file_byte": 3920.0, "qsc_code_num_lines": 93.0, "qsc_code_num_chars_line_max": 143.0, "qsc_code_num_chars_line_mean": 42.15053763, "qsc_code_frac_chars_alphabet": 0.86036671, "qsc_code_frac_chars_comments": 0.97321429, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 1, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/bootstrap-select/bootstrap-select.css | /*!
* Bootstrap-select v1.13.18 (https://developer.snapappointments.com/bootstrap-select)
*
* Copyright 2012-2020 SnapAppointments, LLC
* Licensed under MIT (https://github.com/snapappointments/bootstrap-select/blob/master/LICENSE)
*/
@-webkit-keyframes bs-notify-fadeOut {
0% {
opacity: 0.9;
}
100% {
opacity: 0;
}
}
@-o-keyframes bs-notify-fadeOut {
0% {
opacity: 0.9;
}
100% {
opacity: 0;
}
}
@keyframes bs-notify-fadeOut {
0% {
opacity: 0.9;
}
100% {
opacity: 0;
}
}
select.bs-select-hidden,
.bootstrap-select > select.bs-select-hidden,
select.selectpicker {
display: none !important;
}
.bootstrap-select {
width: 220px \0;
/*IE9 and below*/
vertical-align: middle;
}
.bootstrap-select > .dropdown-toggle {
position: relative;
width: 100%;
text-align: right;
white-space: nowrap;
display: -webkit-inline-box;
display: -webkit-inline-flex;
display: -ms-inline-flexbox;
display: inline-flex;
-webkit-box-align: center;
-webkit-align-items: center;
-ms-flex-align: center;
align-items: center;
-webkit-box-pack: justify;
-webkit-justify-content: space-between;
-ms-flex-pack: justify;
justify-content: space-between;
}
.bootstrap-select > .dropdown-toggle:after {
margin-top: -1px;
}
.bootstrap-select > .dropdown-toggle.bs-placeholder,
.bootstrap-select > .dropdown-toggle.bs-placeholder:hover,
.bootstrap-select > .dropdown-toggle.bs-placeholder:focus,
.bootstrap-select > .dropdown-toggle.bs-placeholder:active {
color: #999;
}
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-primary,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-secondary,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-success,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-danger,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-info,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-dark,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-primary:hover,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-secondary:hover,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-success:hover,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-danger:hover,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-info:hover,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-dark:hover,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-primary:focus,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-secondary:focus,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-success:focus,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-danger:focus,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-info:focus,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-dark:focus,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-primary:active,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-secondary:active,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-success:active,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-danger:active,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-info:active,
.bootstrap-select > .dropdown-toggle.bs-placeholder.btn-dark:active {
color: rgba(255, 255, 255, 0.5);
}
.bootstrap-select > select {
position: absolute !important;
bottom: 0;
left: 50%;
display: block !important;
width: 0.5px !important;
height: 100% !important;
padding: 0 !important;
opacity: 0 !important;
border: none;
z-index: 0 !important;
}
.bootstrap-select > select.mobile-device {
top: 0;
left: 0;
display: block !important;
width: 100% !important;
z-index: 2 !important;
}
.has-error .bootstrap-select .dropdown-toggle,
.error .bootstrap-select .dropdown-toggle,
.bootstrap-select.is-invalid .dropdown-toggle,
.was-validated .bootstrap-select select:invalid + .dropdown-toggle {
border-color: #b94a48;
}
.bootstrap-select.is-valid .dropdown-toggle,
.was-validated .bootstrap-select select:valid + .dropdown-toggle {
border-color: #28a745;
}
.bootstrap-select.fit-width {
width: auto !important;
}
.bootstrap-select:not([class*="col-"]):not([class*="form-control"]):not(.input-group-btn) {
width: 220px;
}
.bootstrap-select > select.mobile-device:focus + .dropdown-toggle,
.bootstrap-select .dropdown-toggle:focus {
outline: thin dotted #333333 !important;
outline: 5px auto -webkit-focus-ring-color !important;
outline-offset: -2px;
}
.bootstrap-select.form-control {
margin-bottom: 0;
padding: 0;
border: none;
height: auto;
}
:not(.input-group) > .bootstrap-select.form-control:not([class*="col-"]) {
width: 100%;
}
.bootstrap-select.form-control.input-group-btn {
float: none;
z-index: auto;
}
.form-inline .bootstrap-select,
.form-inline .bootstrap-select.form-control:not([class*="col-"]) {
width: auto;
}
.bootstrap-select:not(.input-group-btn),
.bootstrap-select[class*="col-"] {
float: none;
display: inline-block;
margin-left: 0;
}
.bootstrap-select.dropdown-menu-right,
.bootstrap-select[class*="col-"].dropdown-menu-right,
.row .bootstrap-select[class*="col-"].dropdown-menu-right {
float: right;
}
.form-inline .bootstrap-select,
.form-horizontal .bootstrap-select,
.form-group .bootstrap-select {
margin-bottom: 0;
}
.form-group-lg .bootstrap-select.form-control,
.form-group-sm .bootstrap-select.form-control {
padding: 0;
}
.form-group-lg .bootstrap-select.form-control .dropdown-toggle,
.form-group-sm .bootstrap-select.form-control .dropdown-toggle {
height: 100%;
font-size: inherit;
line-height: inherit;
border-radius: inherit;
}
.bootstrap-select.form-control-sm .dropdown-toggle,
.bootstrap-select.form-control-lg .dropdown-toggle {
font-size: inherit;
line-height: inherit;
border-radius: inherit;
}
.bootstrap-select.form-control-sm .dropdown-toggle {
padding: 0.25rem 0.5rem;
}
.bootstrap-select.form-control-lg .dropdown-toggle {
padding: 0.5rem 1rem;
}
.form-inline .bootstrap-select .form-control {
width: 100%;
}
.bootstrap-select.disabled,
.bootstrap-select > .disabled {
cursor: not-allowed;
}
.bootstrap-select.disabled:focus,
.bootstrap-select > .disabled:focus {
outline: none !important;
}
.bootstrap-select.bs-container {
position: absolute;
top: 0;
left: 0;
height: 0 !important;
padding: 0 !important;
}
.bootstrap-select.bs-container .dropdown-menu {
z-index: 1060;
}
.bootstrap-select .dropdown-toggle .filter-option {
position: static;
top: 0;
left: 0;
float: left;
height: 100%;
width: 100%;
text-align: left;
overflow: hidden;
-webkit-box-flex: 0;
-webkit-flex: 0 1 auto;
-ms-flex: 0 1 auto;
flex: 0 1 auto;
}
.bs3.bootstrap-select .dropdown-toggle .filter-option {
padding-right: inherit;
}
.input-group .bs3-has-addon.bootstrap-select .dropdown-toggle .filter-option {
position: absolute;
padding-top: inherit;
padding-bottom: inherit;
padding-left: inherit;
float: none;
}
.input-group .bs3-has-addon.bootstrap-select .dropdown-toggle .filter-option .filter-option-inner {
padding-right: inherit;
}
.bootstrap-select .dropdown-toggle .filter-option-inner-inner {
overflow: hidden;
}
.bootstrap-select .dropdown-toggle .filter-expand {
width: 0 !important;
float: left;
opacity: 0 !important;
overflow: hidden;
}
.bootstrap-select .dropdown-toggle .caret {
position: absolute;
top: 50%;
right: 12px;
margin-top: -2px;
vertical-align: middle;
}
.input-group .bootstrap-select.form-control .dropdown-toggle {
border-radius: inherit;
}
.bootstrap-select[class*="col-"] .dropdown-toggle {
width: 100%;
}
.bootstrap-select .dropdown-menu {
min-width: 100%;
-webkit-box-sizing: border-box;
-moz-box-sizing: border-box;
box-sizing: border-box;
}
.bootstrap-select .dropdown-menu > .inner:focus {
outline: none !important;
}
.bootstrap-select .dropdown-menu.inner {
position: static;
float: none;
border: 0;
padding: 0;
margin: 0;
border-radius: 0;
-webkit-box-shadow: none;
box-shadow: none;
}
.bootstrap-select .dropdown-menu li {
position: relative;
}
.bootstrap-select .dropdown-menu li.active small {
color: rgba(255, 255, 255, 0.5) !important;
}
.bootstrap-select .dropdown-menu li.disabled a {
cursor: not-allowed;
}
.bootstrap-select .dropdown-menu li a {
cursor: pointer;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
}
.bootstrap-select .dropdown-menu li a.opt {
position: relative;
padding-left: 2.25em;
}
.bootstrap-select .dropdown-menu li a span.check-mark {
display: none;
}
.bootstrap-select .dropdown-menu li a span.text {
display: inline-block;
}
.bootstrap-select .dropdown-menu li small {
padding-left: 0.5em;
}
.bootstrap-select .dropdown-menu .notify {
position: absolute;
bottom: 5px;
width: 96%;
margin: 0 2%;
min-height: 26px;
padding: 3px 5px;
background: #f5f5f5;
border: 1px solid #e3e3e3;
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
pointer-events: none;
opacity: 0.9;
-webkit-box-sizing: border-box;
-moz-box-sizing: border-box;
box-sizing: border-box;
}
.bootstrap-select .dropdown-menu .notify.fadeOut {
-webkit-animation: 300ms linear 750ms forwards bs-notify-fadeOut;
-o-animation: 300ms linear 750ms forwards bs-notify-fadeOut;
animation: 300ms linear 750ms forwards bs-notify-fadeOut;
}
.bootstrap-select .no-results {
padding: 3px;
background: #f5f5f5;
margin: 0 5px;
white-space: nowrap;
}
.bootstrap-select.fit-width .dropdown-toggle .filter-option {
position: static;
display: inline;
padding: 0;
}
.bootstrap-select.fit-width .dropdown-toggle .filter-option-inner,
.bootstrap-select.fit-width .dropdown-toggle .filter-option-inner-inner {
display: inline;
}
.bootstrap-select.fit-width .dropdown-toggle .bs-caret:before {
content: '\00a0';
}
.bootstrap-select.fit-width .dropdown-toggle .caret {
position: static;
top: auto;
margin-top: -1px;
}
.bootstrap-select.show-tick .dropdown-menu .selected span.check-mark {
position: absolute;
display: inline-block;
right: 15px;
top: 5px;
}
.bootstrap-select.show-tick .dropdown-menu li a span.text {
margin-right: 34px;
}
.bootstrap-select .bs-ok-default:after {
content: '';
display: block;
width: 0.5em;
height: 1em;
border-style: solid;
border-width: 0 0.26em 0.26em 0;
-webkit-transform-style: preserve-3d;
transform-style: preserve-3d;
-webkit-transform: rotate(45deg);
-ms-transform: rotate(45deg);
-o-transform: rotate(45deg);
transform: rotate(45deg);
}
.bootstrap-select.show-menu-arrow.open > .dropdown-toggle,
.bootstrap-select.show-menu-arrow.show > .dropdown-toggle {
z-index: 1061;
}
.bootstrap-select.show-menu-arrow .dropdown-toggle .filter-option:before {
content: '';
border-left: 7px solid transparent;
border-right: 7px solid transparent;
border-bottom: 7px solid rgba(204, 204, 204, 0.2);
position: absolute;
bottom: -4px;
left: 9px;
display: none;
}
.bootstrap-select.show-menu-arrow .dropdown-toggle .filter-option:after {
content: '';
border-left: 6px solid transparent;
border-right: 6px solid transparent;
border-bottom: 6px solid white;
position: absolute;
bottom: -4px;
left: 10px;
display: none;
}
.bootstrap-select.show-menu-arrow.dropup .dropdown-toggle .filter-option:before {
bottom: auto;
top: -4px;
border-top: 7px solid rgba(204, 204, 204, 0.2);
border-bottom: 0;
}
.bootstrap-select.show-menu-arrow.dropup .dropdown-toggle .filter-option:after {
bottom: auto;
top: -4px;
border-top: 6px solid white;
border-bottom: 0;
}
.bootstrap-select.show-menu-arrow.pull-right .dropdown-toggle .filter-option:before {
right: 12px;
left: auto;
}
.bootstrap-select.show-menu-arrow.pull-right .dropdown-toggle .filter-option:after {
right: 13px;
left: auto;
}
.bootstrap-select.show-menu-arrow.open > .dropdown-toggle .filter-option:before,
.bootstrap-select.show-menu-arrow.show > .dropdown-toggle .filter-option:before,
.bootstrap-select.show-menu-arrow.open > .dropdown-toggle .filter-option:after,
.bootstrap-select.show-menu-arrow.show > .dropdown-toggle .filter-option:after {
display: block;
}
.bs-searchbox,
.bs-actionsbox,
.bs-donebutton {
padding: 4px 8px;
}
.bs-actionsbox {
width: 100%;
-webkit-box-sizing: border-box;
-moz-box-sizing: border-box;
box-sizing: border-box;
}
.bs-actionsbox .btn-group button {
width: 50%;
}
.bs-donebutton {
float: left;
width: 100%;
-webkit-box-sizing: border-box;
-moz-box-sizing: border-box;
box-sizing: border-box;
}
.bs-donebutton .btn-group button {
width: 100%;
}
.bs-searchbox + .bs-actionsbox {
padding: 0 8px 4px;
}
.bs-searchbox .form-control {
margin-bottom: 0;
width: 100%;
float: none;
}
| 12,885 | bootstrap-select | css | en | css | data | {"qsc_code_num_words": 1670, "qsc_code_num_chars": 12885.0, "qsc_code_mean_word_length": 5.46467066, "qsc_code_frac_words_unique": 0.13113772, "qsc_code_frac_chars_top_2grams": 0.19395135, "qsc_code_frac_chars_top_3grams": 0.13609467, "qsc_code_frac_chars_top_4grams": 0.12710936, "qsc_code_frac_chars_dupe_5grams": 0.60146833, "qsc_code_frac_chars_dupe_6grams": 0.52838045, "qsc_code_frac_chars_dupe_7grams": 0.44367741, "qsc_code_frac_chars_dupe_8grams": 0.37058952, "qsc_code_frac_chars_dupe_9grams": 0.16951567, "qsc_code_frac_chars_dupe_10grams": 0.14584703, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02994335, "qsc_code_frac_chars_whitespace": 0.13690338, "qsc_code_size_file_byte": 12885.0, "qsc_code_num_lines": 459.0, "qsc_code_num_chars_line_max": 100.0, "qsc_code_num_chars_line_mean": 28.07189542, "qsc_code_frac_chars_alphabet": 0.79066631, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.29257642, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00349243, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0} |
1ytic/pytorch-edit-distance | torch_edit_distance/test.py | import torch
import unittest
from numpy.testing import assert_array_almost_equal
from torch_edit_distance_cuda import *
class EditDistanceTest(unittest.TestCase):
blank = torch.tensor([0], dtype=torch.int).cuda()
separator = torch.tensor([1], dtype=torch.int).cuda()
def test_repetitions(self):
x = torch.tensor([[0, 1, 1, 2, 2, 2, 3], [0, 0, 0, 1, 2, 3, 3]]).cuda()
y = torch.tensor([[0, 1, 1, 2, 2, 2, 3], [0, 1, 2, 3, 2, 3, 3]])
n = torch.tensor([3, 7], dtype=torch.int).cuda()
m = torch.tensor([2, 4], dtype=torch.int)
collapse_repeated(x, n)
assert_array_almost_equal(x.cpu(), y)
assert_array_almost_equal(n.cpu(), m)
def test_blank(self):
x = torch.tensor([[0, 1, 1, 2, 2, 2, 3], [0, 0, 0, 1, 2, 3, 3]], dtype=torch.int).cuda()
y = torch.tensor([[1, 1, 2, 2, 2, 2, 3], [1, 2, 3, 3, 2, 3, 3]], dtype=torch.int)
n = torch.tensor([4, 7], dtype=torch.int).cuda()
m = torch.tensor([3, 4], dtype=torch.int)
remove_blank(x, n, self.blank)
assert_array_almost_equal(x.cpu(), y)
assert_array_almost_equal(n.cpu(), m)
def test_strip(self):
x = torch.tensor([[1, 0, 1, 1, 2, 1, 3], [1, 0, 1, 2, 3, 1, 1]], dtype=torch.int8).cuda()
y = torch.tensor([[0, 1, 2, 1, 2, 1, 3], [0, 1, 2, 3, 1, 1, 1]], dtype=torch.int8)
n = torch.tensor([6, 7], dtype=torch.int).cuda()
m = torch.tensor([3, 4], dtype=torch.int)
strip_separator(x, n, self.separator.type(torch.int8))
assert_array_almost_equal(x.cpu(), y)
assert_array_almost_equal(n.cpu(), m)
def test_wer(self):
# hyp: [[A B], [AB]]
# ref: [[A A B], [A]]
x = torch.tensor([[1, 0, 1, 1, 2, 1, 3], [1, 0, 1, 2, 3, 1, 1]], dtype=torch.int).cuda()
y = torch.tensor([[0, 1, 2, 1, 2, 1, 3], [0, 1, 2, 3, 1, 1, 1]], dtype=torch.int).cuda()
z = torch.tensor([[0, 1, 0, 3], [0, 0, 1, 1]], dtype=torch.int)
n = torch.tensor([7, 6], dtype=torch.int).cuda()
m = torch.tensor([7, 3], dtype=torch.int).cuda()
r = levenshtein_distance(x, y, n, m, self.blank, self.separator)
assert_array_almost_equal(r.cpu(), z)
def test_cer(self):
# hyp: [[A B], [A]]
# ref: [[A A B], [A B]]
x = torch.tensor([[1, 0, 1, 1, 2, 1, 3], [0, 1, 2, 3, 1, 1, 1]], dtype=torch.int).cuda()
y = torch.tensor([[0, 1, 2, 1, 2, 1, 3], [1, 0, 1, 2, 3, 1, 1]], dtype=torch.int).cuda()
z = torch.tensor([[0, 1, 0, 3], [0, 1, 0, 2]], dtype=torch.int)
n = torch.tensor([7, 3], dtype=torch.int).cuda()
m = torch.tensor([7, 5], dtype=torch.int).cuda()
r = levenshtein_distance(x, y, n, m,
torch.cat([self.blank, self.separator]),
torch.empty([], dtype=torch.int).cuda())
assert_array_almost_equal(r.cpu(), z)
if __name__ == "__main__":
unittest.main()
| 2,985 | test | py | en | python | code | {"qsc_code_num_words": 503, "qsc_code_num_chars": 2985.0, "qsc_code_mean_word_length": 3.02982107, "qsc_code_frac_words_unique": 0.11729622, "qsc_code_frac_chars_top_2grams": 0.17322835, "qsc_code_frac_chars_top_3grams": 0.17913386, "qsc_code_frac_chars_top_4grams": 0.16732283, "qsc_code_frac_chars_dupe_5grams": 0.67322835, "qsc_code_frac_chars_dupe_6grams": 0.64041995, "qsc_code_frac_chars_dupe_7grams": 0.6187664, "qsc_code_frac_chars_dupe_8grams": 0.53805774, "qsc_code_frac_chars_dupe_9grams": 0.46981627, "qsc_code_frac_chars_dupe_10grams": 0.46981627, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.08231014, "qsc_code_frac_chars_whitespace": 0.26331658, "qsc_code_size_file_byte": 2985.0, "qsc_code_num_lines": 89.0, "qsc_code_num_chars_line_max": 98.0, "qsc_code_num_chars_line_mean": 33.53932584, "qsc_code_frac_chars_alphabet": 0.61073215, "qsc_code_frac_chars_comments": 0.02613065, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.19607843, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00275672, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.17647059, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.09803922, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.07843137, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.23529412, "qsc_codepython_frac_lines_print": 0.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1y33/100Days | day17/cublas3.cu | #include <stdio.h>
#include <cublas_v2.h>
#include <cuda_runtime.h>
#define n 10
int main()
{
cudaError_t cudaStat;
cublasStatus_t stat;
cublasHandle_t handle;
int j;
float *x, *y;
x = (float *)malloc(sizeof(float) * n);
y = (float *)malloc(sizeof(float) * n);
for (j = 0; j < n; ++j)
{
x[j] = (float)1;
y[j] = (float)1;
}
printf("\nx:\n");
for (j = 0; j < n; ++j)
{
printf("%f ", x[j]);
}
printf("\ny:\n");
for (j = 0; j < n; ++j)
{
printf("%f ", y[j]);
}
float *d_x, *d_y;
cudaStat = cudaMalloc((void **)&d_x, n * sizeof(float));
cudaStat = cudaMalloc((void **)&d_y, n * sizeof(float));
stat = cublasCreate(&handle);
stat = cublasSetVector(n, sizeof(float), x, 1, d_x, 1);
stat = cublasSetVector(n, sizeof(float), y, 1, d_y, 1);
float a = 3.0;
float result;
stat = cublasSdot(handle, n, d_x, 1, d_y, 1, &result);
printf("\ndot product x . y : \n ");
printf (" %7.0f \n " , result );
cudaFree(d_y);
cudaFree(d_x);
cublasDestroy(handle);
free(x);
free(y);
return 0;
} | 1,149 | cublas3 | cu | en | cuda | code | {"qsc_code_num_words": 168, "qsc_code_num_chars": 1149.0, "qsc_code_mean_word_length": 3.4047619, "qsc_code_frac_words_unique": 0.29166667, "qsc_code_frac_chars_top_2grams": 0.11538462, "qsc_code_frac_chars_top_3grams": 0.08391608, "qsc_code_frac_chars_top_4grams": 0.03146853, "qsc_code_frac_chars_dupe_5grams": 0.25874126, "qsc_code_frac_chars_dupe_6grams": 0.07167832, "qsc_code_frac_chars_dupe_7grams": 0.07167832, "qsc_code_frac_chars_dupe_8grams": 0.05594406, "qsc_code_frac_chars_dupe_9grams": 0.05594406, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02334152, "qsc_code_frac_chars_whitespace": 0.29155788, "qsc_code_size_file_byte": 1149.0, "qsc_code_num_lines": 56.0, "qsc_code_num_chars_line_max": 61.0, "qsc_code_num_chars_line_mean": 20.51785714, "qsc_code_frac_chars_alphabet": 0.67936118, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.06521739, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.04608696, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1y33/100Days | day98/kernel.cpp | #include <cuda_runtime.h>
#include <device_launch_parameters.h>
#include <stdio.h>
// Constants for MoE configuration
#define NUM_EXPERTS 8
#define EXPERT_HIDDEN_SIZE 256
#define INPUT_SIZE 1024
#define OUTPUT_SIZE 512
#define TOP_K 2 // Number of experts to route to per token
// Error checking macro
#define CHECK_CUDA_ERROR(val) check((val), #val, __FILE__, __LINE__)
template <typename T>
void check(T err, const char* const func, const char* const file, const int line) {
if (err != cudaSuccess) {
fprintf(stderr, "CUDA error at %s:%d code=%d(%s) \"%s\"\n", file, line, static_cast<int>(err),
cudaGetErrorName(err), func);
exit(EXIT_FAILURE);
}
}
// Kernel for computing gating network outputs (top-k routing)
__global__ void computeGatingScores(const float* input,
float* scores,
int* indices,
const float* gatingWeights,
int batchSize) {
// Each thread processes one input sample
const int idx = blockIdx.x * blockDim.x + threadIdx.x;
if (idx >= batchSize) return;
// Shared memory for storing scores for this sample
__shared__ float localScores[NUM_EXPERTS];
if (threadIdx.x < NUM_EXPERTS) {
localScores[threadIdx.x] = 0.0f;
}
__syncthreads();
// Calculate scores for each expert (simplified as dot product)
for (int e = 0; e < NUM_EXPERTS; e++) {
float score = 0.0f;
for (int i = 0; i < INPUT_SIZE; i++) {
score += input[idx * INPUT_SIZE + i] * gatingWeights[e * INPUT_SIZE + i];
}
// Apply softmax later, just store raw scores for now
atomicAdd(&localScores[e], score);
}
__syncthreads();
// Find top-k experts (using a simple approach for clarity)
if (threadIdx.x == 0) {
// Initialize indices and copy scores
float localScoresCopy[NUM_EXPERTS];
for (int e = 0; e < NUM_EXPERTS; e++) {
localScoresCopy[e] = localScores[e];
indices[idx * TOP_K + e] = -1;
}
// Find top-k
for (int k = 0; k < TOP_K; k++) {
float maxScore = -INFINITY;
int maxIdx = -1;
for (int e = 0; e < NUM_EXPERTS; e++) {
if (localScoresCopy[e] > maxScore) {
maxScore = localScoresCopy[e];
maxIdx = e;
}
}
if (maxIdx != -1) {
indices[idx * TOP_K + k] = maxIdx;
scores[idx * TOP_K + k] = localScores[maxIdx];
localScoresCopy[maxIdx] = -INFINITY; // Mark as processed
}
}
// Normalize the top-k scores (softmax)
float sumExp = 0.0f;
for (int k = 0; k < TOP_K; k++) {
scores[idx * TOP_K + k] = expf(scores[idx * TOP_K + k]);
sumExp += scores[idx * TOP_K + k];
}
for (int k = 0; k < TOP_K; k++) {
scores[idx * TOP_K + k] /= sumExp;
}
}
}
// Fused kernel for expert computation and combining results
__global__ void fusedMoEKernel(const float* input,
const int* indices,
const float* scores,
const float* expertWeights,
float* output,
int batchSize) {
// Each block handles one sample, threads collaborate on experts
const int sampleIdx = blockIdx.x;
if (sampleIdx >= batchSize) return;
// Shared memory to accumulate output from different experts
__shared__ float outputAccumulator[OUTPUT_SIZE];
// Initialize accumulator
for (int i = threadIdx.x; i < OUTPUT_SIZE; i += blockDim.x) {
outputAccumulator[i] = 0.0f;
}
__syncthreads();
// Process each of the top-k experts
for (int k = 0; k < TOP_K; k++) {
const int expertIdx = indices[sampleIdx * TOP_K + k];
const float expertScore = scores[sampleIdx * TOP_K + k];
if (expertIdx < 0) continue; // Skip invalid experts
// Simple matrix multiplication for expert computation
// Each thread handles a set of output neurons
for (int outputIdx = threadIdx.x; outputIdx < OUTPUT_SIZE; outputIdx += blockDim.x) {
float sum = 0.0f;
// Calculate dot product for this output neuron
#pragma unroll 4 // Unroll for performance
for (int i = 0; i < INPUT_SIZE; i++) {
sum += input[sampleIdx * INPUT_SIZE + i] *
expertWeights[expertIdx * INPUT_SIZE * OUTPUT_SIZE + outputIdx * INPUT_SIZE + i];
}
// Scale by expert score and add to accumulator
atomicAdd(&outputAccumulator[outputIdx], sum * expertScore);
}
__syncthreads();
}
// Write final output
for (int i = threadIdx.x; i < OUTPUT_SIZE; i += blockDim.x) {
output[sampleIdx * OUTPUT_SIZE + i] = outputAccumulator[i];
}
}
int main() {
// Demonstration code for MoE implementation
const int batchSize = 32; // Process 32 inputs at a time
// Allocate host memory and initialize data here...
// Launch kernels with appropriate grid/block sizes:
// computeGatingScores<<<(batchSize + 255) / 256, 256>>>(input_d, scores_d, indices_d, gatingWeights_d, batchSize);
// fusedMoEKernel<<<batchSize, 256>>>(input_d, indices_d, scores_d, expertWeights_d, output_d, batchSize);
printf("Mixture of Experts CUDA kernel implementation\n");
return 0;
} | 5,764 | kernel | cpp | en | cpp | code | {"qsc_code_num_words": 654, "qsc_code_num_chars": 5764.0, "qsc_code_mean_word_length": 4.79051988, "qsc_code_frac_words_unique": 0.28746177, "qsc_code_frac_chars_top_2grams": 0.0242579, "qsc_code_frac_chars_top_3grams": 0.01915097, "qsc_code_frac_chars_top_4grams": 0.01532078, "qsc_code_frac_chars_dupe_5grams": 0.09990425, "qsc_code_frac_chars_dupe_6grams": 0.09128631, "qsc_code_frac_chars_dupe_7grams": 0.08298755, "qsc_code_frac_chars_dupe_8grams": 0.08298755, "qsc_code_frac_chars_dupe_9grams": 0.04723907, "qsc_code_frac_chars_dupe_10grams": 0.04213214, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01419932, "qsc_code_frac_chars_whitespace": 0.34021513, "qsc_code_size_file_byte": 5764.0, "qsc_code_num_lines": 157.0, "qsc_code_num_chars_line_max": 120.0, "qsc_code_num_chars_line_mean": 36.7133758, "qsc_code_frac_chars_alphabet": 0.80962398, "qsc_code_frac_chars_comments": 0.25572519, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.14563107, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.01910976, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codecpp_frac_lines_preprocessor_directives": 0.09708738, "qsc_codecpp_frac_lines_func_ratio": 0.04854369, "qsc_codecpp_cate_bitsstdc": 0.0, "qsc_codecpp_nums_lines_main": 1.0, "qsc_codecpp_frac_lines_goto": 0.0, "qsc_codecpp_cate_var_zero": 0.0, "qsc_codecpp_score_lines_no_logic": 0.08737864, "qsc_codecpp_frac_lines_print": 0.01941748} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecpp_frac_lines_func_ratio": 0, "qsc_codecpp_nums_lines_main": 0, "qsc_codecpp_score_lines_no_logic": 0, "qsc_codecpp_frac_lines_preprocessor_directives": 0, "qsc_codecpp_frac_lines_print": 0} |
1y33/100Days | day35/layernorm.cpp | #include <hip/hip_runtime.h>
#include <cstdio>
#include <cstdlib>
#include <cmath>
#define HIP_CALL(call) \
{ \
hipError_t err = call; \
if (err != hipSuccess) { \
fprintf(stderr, "HIP error %s at %s:%d\n", hipGetErrorString(err), \
__FILE__, __LINE__); \
exit(err); \
} \
}
__global__ void layernorm_forward(const float* __restrict__ input,
float* __restrict__ output,
const float* __restrict__ gamma,
const float* __restrict__ beta,
float* __restrict__ mean,
float* __restrict__ variance,
const int D,
const float eps) {
const int sample = blockIdx.x;
const int tid = threadIdx.x;
float sum = 0.0f, sum_sq = 0.0f;
for (int i = tid; i < D; i += blockDim.x) {
float val = input[sample * D + i];
sum += val;
sum_sq += val * val;
}
__shared__ float s_sum[256];
__shared__ float s_sum_sq[256];
s_sum[tid] = sum;
s_sum_sq[tid] = sum_sq;
__syncthreads();
for (int s = blockDim.x / 2; s > 0; s /= 2) {
if (tid < s) {
s_sum[tid] += s_sum[tid + s];
s_sum_sq[tid] += s_sum_sq[tid + s];
}
__syncthreads();
}
float sample_mean = s_sum[0] / D;
float sample_variance = s_sum_sq[0] / D - sample_mean * sample_mean;
if (tid == 0) {
mean[sample] = sample_mean;
variance[sample] = sample_variance;
}
__syncthreads();
float inv_std = rsqrtf(sample_variance + eps);
for (int i = tid; i < D; i += blockDim.x) {
float val = input[sample * D + i];
float xhat = (val - sample_mean) * inv_std;
output[sample * D + i] = xhat * gamma[i] + beta[i];
}
}
__global__ void layernorm_backward(const float* __restrict__ input,
const float* __restrict__ dout,
const float* __restrict__ gamma,
const float* __restrict__ mean,
const float* __restrict__ variance,
float* __restrict__ dx,
float* __restrict__ dgamma,
float* __restrict__ dbeta,
const int D,
const float eps) {
const int sample = blockIdx.x;
const int tid = threadIdx.x;
float sample_mean = mean[sample];
float sample_var = variance[sample];
float inv_std = rsqrtf(sample_var + eps);
float sum_dY = 0.0f, sum_dY_xhat = 0.0f;
for (int i = tid; i < D; i += blockDim.x) {
float val = input[sample * D + i];
float xhat = (val - sample_mean) * inv_std;
float dy = dout[sample * D + i];
sum_dY += dy;
sum_dY_xhat += dy * xhat;
}
__shared__ float s_sum_dY[256];
__shared__ float s_sum_dY_xhat[256];
s_sum_dY[tid] = sum_dY;
s_sum_dY_xhat[tid] = sum_dY_xhat;
__syncthreads();
for (int s = blockDim.x / 2; s > 0; s /= 2) {
if (tid < s) {
s_sum_dY[tid] += s_sum_dY[tid + s];
s_sum_dY_xhat[tid] += s_sum_dY_xhat[tid + s];
}
__syncthreads();
}
if (tid == 0) {
sum_dY = s_sum_dY[0];
sum_dY_xhat = s_sum_dY_xhat[0];
}
__syncthreads();
for (int i = tid; i < D; i += blockDim.x) {
float val = input[sample * D + i];
float xhat = (val - sample_mean) * inv_std;
float dy = dout[sample * D + i];
float dx_val = inv_std * (dy - (sum_dY / D) - xhat * (sum_dY_xhat / D));
dx[sample * D + i] = dx_val;
atomicAdd(&dgamma[i], dy * xhat);
atomicAdd(&dbeta[i], dy);
}
}
int main() {
const int N = 2;
const int D = 8;
const float eps = 1e-5f;
float h_input[N * D];
float h_gamma[D];
float h_beta[D];
float h_out[N * D];
float h_mean[N];
float h_variance[N];
float h_dout[N * D];
float h_dx[N * D];
float h_dgamma[D];
float h_dbeta[D];
for (int i = 0; i < N * D; ++i) {
h_input[i] = float(i % 7) - 3.0f;
h_dout[i] = 1.0f;
}
for (int i = 0; i < D; ++i) {
h_gamma[i] = 1.0f;
h_beta[i] = 0.0f;
h_dgamma[i] = 0.0f;
h_dbeta[i] = 0.0f;
}
float *d_input, *d_gamma, *d_beta, *d_out, *d_mean, *d_variance;
float *d_dout, *d_dx, *d_dgamma, *d_dbeta;
HIP_CALL(hipMalloc(&d_input, N * D * sizeof(float)));
HIP_CALL(hipMalloc(&d_gamma, D * sizeof(float)));
HIP_CALL(hipMalloc(&d_beta, D * sizeof(float)));
HIP_CALL(hipMalloc(&d_out, N * D * sizeof(float)));
HIP_CALL(hipMalloc(&d_mean, N * sizeof(float)));
HIP_CALL(hipMalloc(&d_variance, N * sizeof(float)));
HIP_CALL(hipMalloc(&d_dout, N * D * sizeof(float)));
HIP_CALL(hipMalloc(&d_dx, N * D * sizeof(float)));
HIP_CALL(hipMalloc(&d_dgamma, D * sizeof(float)));
HIP_CALL(hipMalloc(&d_dbeta, D * sizeof(float)));
HIP_CALL(hipMemcpy(d_input, h_input, N * D * sizeof(float), hipMemcpyHostToDevice));
HIP_CALL(hipMemcpy(d_gamma, h_gamma, D * sizeof(float), hipMemcpyHostToDevice));
HIP_CALL(hipMemcpy(d_beta, h_beta, D * sizeof(float), hipMemcpyHostToDevice));
HIP_CALL(hipMemcpy(d_dout, h_dout, N * D * sizeof(float), hipMemcpyHostToDevice));
HIP_CALL(hipMemset(d_dgamma, 0, D * sizeof(float)));
HIP_CALL(hipMemset(d_dbeta, 0, D * sizeof(float)));
const int blockSize = 256;
dim3 gridForward(N);
dim3 gridBackward(N);
hipLaunchKernelGGL(layernorm_forward, gridForward, blockSize, 0, 0,
d_input, d_out, d_gamma, d_beta, d_mean, d_variance, D, eps);
HIP_CALL(hipGetLastError());
hipLaunchKernelGGL(layernorm_backward, gridBackward, blockSize, 0, 0,
d_input, d_dout, d_gamma, d_mean, d_variance,
d_dx, d_dgamma, d_dbeta, D, eps);
HIP_CALL(hipGetLastError());
HIP_CALL(hipMemcpy(h_out, d_out, N * D * sizeof(float), hipMemcpyDeviceToHost));
HIP_CALL(hipMemcpy(h_mean, d_mean, N * sizeof(float), hipMemcpyDeviceToHost));
HIP_CALL(hipMemcpy(h_variance, d_variance, N * sizeof(float), hipMemcpyDeviceToHost));
HIP_CALL(hipMemcpy(h_dx, d_dx, N * D * sizeof(float), hipMemcpyDeviceToHost));
HIP_CALL(hipMemcpy(h_dgamma, d_dgamma, D * sizeof(float), hipMemcpyDeviceToHost));
HIP_CALL(hipMemcpy(h_dbeta, d_dbeta, D * sizeof(float), hipMemcpyDeviceToHost));
printf("Forward pass results:\n");
for (int n = 0; n < N; ++n) {
printf("Sample %d: mean = %.4f, variance = %.4f\n", n, h_mean[n], h_variance[n]);
printf("Output: ");
for (int i = 0; i < D; ++i) {
printf("%.4f ", h_out[n * D + i]);
}
printf("\n");
}
printf("\nBackward pass results:\n");
printf("dx:\n");
for (int n = 0; n < N; ++n) {
printf("Sample %d: ", n);
for (int i = 0; i < D; ++i) {
printf("%.4f ", h_dx[n * D + i]);
}
printf("\n");
}
printf("dgamma: ");
for (int i = 0; i < D; ++i) {
printf("%.4f ", h_dgamma[i]);
}
printf("\n");
printf("dbeta: ");
for (int i = 0; i < D; ++i) {
printf("%.4f ", h_dbeta[i]);
}
printf("\n");
hipFree(d_input);
hipFree(d_gamma);
hipFree(d_beta);
hipFree(d_out);
hipFree(d_mean);
hipFree(d_variance);
hipFree(d_dout);
hipFree(d_dx);
hipFree(d_dgamma);
hipFree(d_dbeta);
return 0;
}
| 8,236 | layernorm | cpp | en | cpp | code | {"qsc_code_num_words": 1028, "qsc_code_num_chars": 8236.0, "qsc_code_mean_word_length": 3.74027237, "qsc_code_frac_words_unique": 0.09338521, "qsc_code_frac_chars_top_2grams": 0.04551365, "qsc_code_frac_chars_top_3grams": 0.05617685, "qsc_code_frac_chars_top_4grams": 0.05149545, "qsc_code_frac_chars_dupe_5grams": 0.51781534, "qsc_code_frac_chars_dupe_6grams": 0.4153446, "qsc_code_frac_chars_dupe_7grams": 0.37919376, "qsc_code_frac_chars_dupe_8grams": 0.30637191, "qsc_code_frac_chars_dupe_9grams": 0.19713914, "qsc_code_frac_chars_dupe_10grams": 0.17061118, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01435407, "qsc_code_frac_chars_whitespace": 0.36559009, "qsc_code_size_file_byte": 8236.0, "qsc_code_num_lines": 229.0, "qsc_code_num_chars_line_max": 97.0, "qsc_code_num_chars_line_mean": 35.9650655, "qsc_code_frac_chars_alphabet": 0.7215311, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.2364532, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.02185527, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codecpp_frac_lines_preprocessor_directives": 0.02463054, "qsc_codecpp_frac_lines_func_ratio": 0.13793103, "qsc_codecpp_cate_bitsstdc": 0.0, "qsc_codecpp_nums_lines_main": 1.0, "qsc_codecpp_frac_lines_goto": 0.0, "qsc_codecpp_cate_var_zero": 0.0, "qsc_codecpp_score_lines_no_logic": 0.16256158, "qsc_codecpp_frac_lines_print": 0.08374384} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecpp_frac_lines_func_ratio": 0, "qsc_codecpp_nums_lines_main": 0, "qsc_codecpp_score_lines_no_logic": 0, "qsc_codecpp_frac_lines_preprocessor_directives": 0, "qsc_codecpp_frac_lines_print": 0} |
1xyz/coolbeans | README.md | [](https://github.com/1xyz/coolbeans/actions?query=workflow%3ABuild)
[](https://github.com/1xyz/coolbeans/actions?query=workflow%3ARelease)
[](https://hub.docker.com/r/1xyz/coolbeans/tags)
[](https://goreportcard.com/report/github.com/1xyz/coolbeans)
- [Coolbeans](#coolbeans)
- [Motivation](#motivation)
- [Key features](#key-features)
- [Releases](#releases)
- [Getting started](#getting-started)
- [How to contribute](#how-to-contribute)
- [Local Development](Contributing.md)
<img src="doc/bean_3185124.svg" align=right width=200px />
Coolbeans
=========
Coolbeans is a distributed replicated work queue service that implements the [beanstalkd protocol](https://github.com/beanstalkd/beanstalkd/blob/master/doc/protocol.txt).
Unlike a message queue, [beanstalkd](https://github.com/beanstalkd/beanstalkd) is a work queue that provides primitive operations to work with jobs.
Coolbeans primarily differs from beanstalkd in that it allows the work queue to be replicated across multiple machines. It uses the [RAFT consensus algorithm](https://raft.github.io/) to replicate the job state consistently across machines.
Motivation
----------
Beanstalkd is a [feature-rich](https://www.igvita.com/2010/05/20/scalable-work-queues-with-beanstalk/) and easy to use queue. Beanstalkd, however has a few drawbacks that include: (i) A lack of replication or high availability in terms of machine failures. (ii) There is no native sharding, (iii) No native support for encryption & authentication between the service & the client.
Given the initial setup of beanstalkd is simple, having a HA or sharded production setup is non-trivial. Our premise with Coolbeans is to provide a replicated beanstalkd queue followed by addressing the other issues incrementally. Read about our design approach [here](doc/Design.md).
Key features
------------
- A fully replicated work queue built using [Hashicorp's Raft library](https://github.com/hashicorp/raft).
- Strong consistency of all queue operations.
- Compatible with [existing beanstalkd clients](https://github.com/beanstalkd/beanstalkd/wiki/Client-Libraries).
- Easy installation, available as a static binary or as a Linux docker image.
- [Monitor metrics using Prometheus and visualize them via Grafana](https://github.com/1xyz/coolbeans-k8s/blob/master/doc/Metrics.md#setup-grafana).
Releases
--------
- Static binary can be downloaded from the [release pages](https://github.com/1xyz/coolbeans/releases).
- Docker release images can be pulled from [here](https://hub.docker.com/r/1xyz/coolbeans).
- Docker development images can be pulled from [here](https://hub.docker.com/r/1xyz/coolbeans-developer/tags).
Getting Started
---------------
- Refer the [getting started guide](doc/GettingStarted.md).
- To setup a three node cluster refer [here](doc/GettingStarted3.md).
- Getting started guide to run coolbeans on Kubernetes, refer [here](https://github.com/1xyz/coolbeans-k8s).
How to contribute
-----------------
Coolbeans is currently at `alpha` release quality. It is all about improving the quality of this by testing, testing & more testing.
Here are a few ways you can contribute:
- Be an early adopter, Try it out on your machine, testbed or pre-production stack and give us [feedback or report issues](https://github.com/1xyz/coolbeans/issues/new/choose).
- Have a feature in mind. Tell us more about by [filing an issue](https://github.com/1xyz/coolbeans/issues/new/choose).
- Want to contribute to code, documentation. Checkout the [contribution guide](./Contributing.md).
---
[icon](https://thenounproject.com/term/like/3185124/) by [Llisole](https://thenounproject.com/llisole/) from [the Noun Project](https://thenounproject.com)
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1c-syntax/ssl_3_1 | src/cf/Reports/АнализПравДоступа/Templates/Макет/Ext/Template.xml | <?xml version="1.0" encoding="UTF-8"?>
<DataCompositionSchema xmlns="http://v8.1c.ru/8.1/data-composition-system/schema" xmlns:dcscom="http://v8.1c.ru/8.1/data-composition-system/common" xmlns:dcscor="http://v8.1c.ru/8.1/data-composition-system/core" xmlns:dcsset="http://v8.1c.ru/8.1/data-composition-system/settings" xmlns:v8="http://v8.1c.ru/8.1/data/core" xmlns:v8ui="http://v8.1c.ru/8.1/data/ui" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<dataSource>
<name>ИсточникДанных1</name>
<dataSourceType>Local</dataSourceType>
</dataSource>
<dataSet xsi:type="DataSetObject">
<name>ПраваПользователей</name>
<field xsi:type="DataSetFieldField">
<dataPath>ОбъектМетаданных</dataPath>
<field>ОбъектМетаданных</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Таблица</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type xmlns:d5p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d5p1:CatalogRef.ИдентификаторыОбъектовРасширений</v8:Type>
<v8:Type xmlns:d5p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d5p1:CatalogRef.ИдентификаторыОбъектовМетаданных</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ЭлементДанных</dataPath>
<field>ЭлементДанных</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Элемент данных</v8:content>
</v8:item>
</title>
<useRestriction>
<condition>true</condition>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<presentationExpression>ЭлементДанныхПредставление</presentationExpression>
<valueType>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>0</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ЭлементДанныхПредставление</dataPath>
<field>ЭлементДанныхПредставление</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Элемент данных представление</v8:content>
</v8:item>
</title>
<useRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>0</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>Пользователь</dataPath>
<field>Пользователь</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Пользователь</v8:content>
</v8:item>
</title>
<useRestriction>
<condition>true</condition>
</useRestriction>
<attributeUseRestriction>
<condition>true</condition>
</attributeUseRestriction>
<valueType>
<v8:Type xmlns:d5p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d5p1:CatalogRef.ВнешниеПользователи</v8:Type>
<v8:Type xmlns:d5p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d5p1:CatalogRef.ГруппыВнешнихПользователей</v8:Type>
<v8:Type xmlns:d5p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d5p1:CatalogRef.ГруппыПользователей</v8:Type>
<v8:Type xmlns:d5p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d5p1:CatalogRef.Пользователи</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ГруппаДоступа</dataPath>
<field>ГруппаДоступа</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Группа доступа</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type xmlns:d5p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d5p1:CatalogRef.ГруппыДоступа</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ПравоИнтерактивноеДобавление</dataPath>
<field>ПравоИнтерактивноеДобавление</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Создание</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ПравоПросмотр</dataPath>
<field>ПравоПросмотр</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Просмотр</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ПравоРедактирование</dataPath>
<field>ПравоРедактирование</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Редактирование</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ПравоИнтерактивное</dataPath>
<field>ПравоИнтерактивное</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Уровень доступа</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:decimal</v8:Type>
<v8:NumberQualifiers>
<v8:Digits>1</v8:Digits>
<v8:FractionDigits>0</v8:FractionDigits>
<v8:AllowedSign>Nonnegative</v8:AllowedSign>
</v8:NumberQualifiers>
</valueType>
<availableValue>
<value xsi:nil="true"/>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Без доступа</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">1</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Просмотр</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">2</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Редактирование</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">3</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Создание</v8:content>
</v8:item>
</presentation>
</availableValue>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>Отчет</dataPath>
<field>ОтчетСсылка</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Отчет</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type xmlns:d5p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d5p1:CatalogRef.ИдентификаторыОбъектовРасширений</v8:Type>
<v8:Type xmlns:d5p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d5p1:CatalogRef.ИдентификаторыОбъектовМетаданных</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ГруппаДоступаОтчета</dataPath>
<field>ГруппаДоступаОтчета</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Группа доступа отчета</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type xmlns:d5p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d5p1:CatalogRef.ГруппыДоступа</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ПравоОтчета</dataPath>
<field>ПравоОтчета</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Уровень доступа к отчету</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:decimal</v8:Type>
<v8:NumberQualifiers>
<v8:Digits>1</v8:Digits>
<v8:FractionDigits>0</v8:FractionDigits>
<v8:AllowedSign>Nonnegative</v8:AllowedSign>
</v8:NumberQualifiers>
</valueType>
<availableValue>
<value xsi:nil="true"/>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Без доступа</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">1</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Просмотр</v8:content>
</v8:item>
</presentation>
</availableValue>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВходВПрограммуРазрешен</dataPath>
<field>ВходВПрограммуРазрешен</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Пользователю разрешен вход в приложение</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВидДоступа</dataPath>
<field>ВидДоступа</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Вид доступа</v8:content>
</v8:item>
</title>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<presentationExpression>ВидДоступаПредставление</presentationExpression>
<valueType>
<v8:TypeId>9a33b5dc-a8f1-496e-9961-95890984cd86</v8:TypeId>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВсеРазрешены</dataPath>
<field>ВсеРазрешены</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Все разрешены</v8:content>
</v8:item>
</title>
<useRestriction>
<condition>true</condition>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
<appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Формат</dcscor:parameter>
<dcscor:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>БЛ=Разрешенные; БИ=Запрещенные</v8:content>
</v8:item>
</dcscor:value>
</dcscor:item>
</appearance>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ЗначениеДоступа</dataPath>
<field>ЗначениеДоступа</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Значение доступа</v8:content>
</v8:item>
</title>
<useRestriction>
<condition>true</condition>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:TypeId>9a33b5dc-a8f1-496e-9961-95890984cd86</v8:TypeId>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВидДоступаПредставление</dataPath>
<field>ВидДоступаПредставление</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Вид доступа представление</v8:content>
</v8:item>
</title>
<useRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>150</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ПравоЧтение</dataPath>
<field>ПравоЧтение</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Чтение</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ПравоИзменение</dataPath>
<field>ПравоИзменение</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Изменение</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ПравоДобавление</dataPath>
<field>ПравоДобавление</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Добавление</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>Право</dataPath>
<field>Право</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Уровень доступа программный</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:decimal</v8:Type>
<v8:NumberQualifiers>
<v8:Digits>1</v8:Digits>
<v8:FractionDigits>0</v8:FractionDigits>
<v8:AllowedSign>Nonnegative</v8:AllowedSign>
</v8:NumberQualifiers>
</valueType>
<availableValue>
<value xsi:nil="true"/>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Без доступа</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">1</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Чтение</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">2</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Изменение</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">3</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Добавление</v8:content>
</v8:item>
</presentation>
</availableValue>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ПравоЧтениеБезОграничения</dataPath>
<field>ПравоЧтениеБезОграничения</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Чтение без ограничения</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ПравоИзменениеБезОграничения</dataPath>
<field>ПравоИзменениеБезОграничения</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Изменение без ограничения</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ПравоДобавлениеБезОграничения</dataPath>
<field>ПравоДобавлениеБезОграничения</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Добавление без ограничения</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ПравоБезОграничения</dataPath>
<field>ПравоБезОграничения</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Уровень доступа без ограничения</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:decimal</v8:Type>
<v8:NumberQualifiers>
<v8:Digits>1</v8:Digits>
<v8:FractionDigits>0</v8:FractionDigits>
<v8:AllowedSign>Nonnegative</v8:AllowedSign>
</v8:NumberQualifiers>
</valueType>
<availableValue>
<value xsi:nil="true"/>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Нет доступа без ограничения</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">1</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Чтение без ограничения</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">2</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Изменение без ограничения</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">3</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Добавление без ограничения</v8:content>
</v8:item>
</presentation>
</availableValue>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВидДоступаПравоЧтение</dataPath>
<field>ВидДоступаПравоЧтение</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Чтение (по виду доступа)</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВидДоступаПравоИзменение</dataPath>
<field>ВидДоступаПравоИзменение</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Изменение (по виду доступа)</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВидДоступаПравоДобавление</dataPath>
<field>ВидДоступаПравоДобавление</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Добавление (по виду доступа)</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВидДоступаПраво</dataPath>
<field>ВидДоступаПраво</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Уровень доступа (по виду доступа)</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:decimal</v8:Type>
<v8:NumberQualifiers>
<v8:Digits>1</v8:Digits>
<v8:FractionDigits>0</v8:FractionDigits>
<v8:AllowedSign>Nonnegative</v8:AllowedSign>
</v8:NumberQualifiers>
</valueType>
<availableValue>
<value xsi:nil="true"/>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Без доступа</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">1</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Чтение</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">2</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Изменение</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">3</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Добавление</v8:content>
</v8:item>
</presentation>
</availableValue>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВидДоступаПравоЧтениеБезОграничения</dataPath>
<field>ВидДоступаПравоЧтениеБезОграничения</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Чтение без ограничения (по виду доступа)</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВидДоступаПравоИзменениеБезОграничения</dataPath>
<field>ВидДоступаПравоИзменениеБезОграничения</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Изменение без ограничения (по виду доступа)</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВидДоступаПравоДобавлениеБезОграничения</dataPath>
<field>ВидДоступаПравоДобавлениеБезОграничения</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Добавление без ограничения (по виду доступа)</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВидДоступаПравоБезОграничения</dataPath>
<field>ВидДоступаПравоБезОграничения</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Уровень доступа без ограничения (по виду доступа)</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:decimal</v8:Type>
<v8:NumberQualifiers>
<v8:Digits>1</v8:Digits>
<v8:FractionDigits>0</v8:FractionDigits>
<v8:AllowedSign>Nonnegative</v8:AllowedSign>
</v8:NumberQualifiers>
</valueType>
<availableValue>
<value xsi:nil="true"/>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Нет доступа без ограничения</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">1</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Чтение без ограничения</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">2</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Изменение без ограничения</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">3</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Добавление без ограничения</v8:content>
</v8:item>
</presentation>
</availableValue>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВидДоступаПравоПросмотр</dataPath>
<field>ВидДоступаПравоПросмотр</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Просмотр (по виду доступа)</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВидДоступаПравоРедактирование</dataPath>
<field>ВидДоступаПравоРедактирование</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Редактирование (по виду доступа)</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВидДоступаПравоИнтерактивноеДобавление</dataPath>
<field>ВидДоступаПравоИнтерактивноеДобавление</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Создание (по виду доступа)</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВидДоступаПравоИнтерактивное</dataPath>
<field>ВидДоступаПравоИнтерактивное</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Уровень доступа (по виду доступа)</v8:content>
</v8:item>
</title>
<useRestriction>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:decimal</v8:Type>
<v8:NumberQualifiers>
<v8:Digits>1</v8:Digits>
<v8:FractionDigits>0</v8:FractionDigits>
<v8:AllowedSign>Nonnegative</v8:AllowedSign>
</v8:NumberQualifiers>
</valueType>
<availableValue>
<value xsi:nil="true"/>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Без доступа</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">1</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Просмотр</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">2</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Редактирование</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">3</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Создание</v8:content>
</v8:item>
</presentation>
</availableValue>
</field>
<dataSource>ИсточникДанных1</dataSource>
<objectName>ПраваПользователей</objectName>
</dataSet>
<dataSet xsi:type="DataSetObject">
<name>НастройкиПравПоОбъектам</name>
<field xsi:type="DataSetFieldField">
<dataPath>ВладелецНастроек</dataPath>
<field>ВладелецНастроек</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Владелец настроек</v8:content>
</v8:item>
</title>
<useRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:TypeId>a02405f8-0a56-4b5a-a885-91715df29d5c</v8:TypeId>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВладелецИлиПользовательНастроек</dataPath>
<field>ВладелецИлиПользовательНастроек</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Владелец или пользователь настроек</v8:content>
</v8:item>
</title>
<useRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:TypeSet xmlns:d5p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d5p1:AnyIBRef</v8:TypeSet>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ЭтоВладелецНастроек</dataPath>
<field>ЭтоВладелецНастроек</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Это владелец настроек</v8:content>
</v8:item>
</title>
<useRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>НаследованиеНастроекВладельцем</dataPath>
<field>НаследованиеНастроекВладельцем</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Наследование настроек владельцем</v8:content>
</v8:item>
</title>
<useRestriction>
<condition>true</condition>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>НастроенноеПраво</dataPath>
<field>НастроенноеПраво</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Настроенное право</v8:content>
</v8:item>
</title>
<useRestriction>
<condition>true</condition>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>60</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ЗначениеПрава</dataPath>
<field>ЗначениеПрава</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Значение права</v8:content>
</v8:item>
</title>
<useRestriction>
<condition>true</condition>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:decimal</v8:Type>
<v8:NumberQualifiers>
<v8:Digits>1</v8:Digits>
<v8:FractionDigits>0</v8:FractionDigits>
<v8:AllowedSign>Nonnegative</v8:AllowedSign>
</v8:NumberQualifiers>
</valueType>
<availableValue>
<value xsi:nil="true"/>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Не назначено</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">1</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Разрешено</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">2</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Запрещено</v8:content>
</v8:item>
</presentation>
</availableValue>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ИндексПрава</dataPath>
<field>ИндексПрава</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Индекс права</v8:content>
</v8:item>
</title>
<useRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:decimal</v8:Type>
<v8:NumberQualifiers>
<v8:Digits>2</v8:Digits>
<v8:FractionDigits>0</v8:FractionDigits>
<v8:AllowedSign>Nonnegative</v8:AllowedSign>
</v8:NumberQualifiers>
</valueType>
</field>
<dataSource>ИсточникДанных1</dataSource>
<objectName>НастройкиПравПоОбъектам</objectName>
</dataSet>
<dataSet xsi:type="DataSetObject">
<name>НастройкиПравЛегенда</name>
<field xsi:type="DataSetFieldField">
<dataPath>ЗаголовокПрава</dataPath>
<field>ЗаголовокПрава</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Заголовок права</v8:content>
</v8:item>
</title>
<useRestriction>
<condition>true</condition>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>60</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ПодсказкаПрава</dataPath>
<field>ПодсказкаПрава</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Подсказка права</v8:content>
</v8:item>
</title>
<useRestriction>
<condition>true</condition>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>150</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</valueType>
</field>
<dataSource>ИсточникДанных1</dataSource>
<objectName>НастройкиПравЛегенда</objectName>
</dataSet>
<dataSet xsi:type="DataSetObject">
<name>НастройкиПравИерархия</name>
<field xsi:type="DataSetFieldField">
<dataPath>РодительВладельцаИлиПользователяНастроек</dataPath>
<field>РодительВладельцаИлиПользователяНастроек</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Родитель владельца или пользователя настроек</v8:content>
</v8:item>
</title>
<useRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:TypeId>a02405f8-0a56-4b5a-a885-91715df29d5c</v8:TypeId>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВладелецИлиПользовательНастроек</dataPath>
<field>ВладелецИлиПользовательНастроек</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Владелец или пользователь настроек</v8:content>
</v8:item>
</title>
<useRestriction>
<condition>true</condition>
<group>true</group>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<presentationExpression>ВладелецИлиПользовательНастроекПредставление</presentationExpression>
<valueType>
<v8:TypeSet xmlns:d5p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d5p1:AnyIBRef</v8:TypeSet>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВладелецНастроек</dataPath>
<field>ВладелецНастроек</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Владелец настроек</v8:content>
</v8:item>
</title>
<useRestriction>
<condition>true</condition>
<group>true</group>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:TypeId>a02405f8-0a56-4b5a-a885-91715df29d5c</v8:TypeId>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ЭтоВладелецНастроек</dataPath>
<field>ЭтоВладелецНастроек</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Это владелец настроек</v8:content>
</v8:item>
</title>
<useRestriction>
<condition>true</condition>
<group>true</group>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВладелецИлиПользовательНастроекПредставление</dataPath>
<field>ВладелецИлиПользовательНастроекПредставление</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Владелец или пользователь настроек представление</v8:content>
</v8:item>
</title>
<useRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
<valueType>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>250</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</valueType>
</field>
<dataSource>ИсточникДанных1</dataSource>
<objectName>НастройкиПравИерархия</objectName>
</dataSet>
<dataSetLink>
<sourceDataSet>НастройкиПравИерархия</sourceDataSet>
<destinationDataSet>НастройкиПравИерархия</destinationDataSet>
<sourceExpression>ВладелецИлиПользовательНастроек</sourceExpression>
<destinationExpression>РодительВладельцаИлиПользователяНастроек</destinationExpression>
<startExpression>Неопределено</startExpression>
</dataSetLink>
<dataSetLink>
<sourceDataSet>НастройкиПравИерархия</sourceDataSet>
<destinationDataSet>НастройкиПравПоОбъектам</destinationDataSet>
<sourceExpression>ВладелецИлиПользовательНастроек</sourceExpression>
<destinationExpression>ВладелецИлиПользовательНастроек</destinationExpression>
</dataSetLink>
<dataSetLink>
<sourceDataSet>НастройкиПравИерархия</sourceDataSet>
<destinationDataSet>НастройкиПравПоОбъектам</destinationDataSet>
<sourceExpression>ВладелецНастроек</sourceExpression>
<destinationExpression>ВладелецНастроек</destinationExpression>
</dataSetLink>
<dataSetLink>
<sourceDataSet>НастройкиПравИерархия</sourceDataSet>
<destinationDataSet>НастройкиПравПоОбъектам</destinationDataSet>
<sourceExpression>ЭтоВладелецНастроек</sourceExpression>
<destinationExpression>ЭтоВладелецНастроек</destinationExpression>
</dataSetLink>
<totalField>
<dataPath>ПравоПросмотр</dataPath>
<expression>Максимум(ПравоПросмотр)</expression>
</totalField>
<totalField>
<dataPath>ПравоРедактирование</dataPath>
<expression>Максимум(ПравоРедактирование)</expression>
</totalField>
<totalField>
<dataPath>ПравоИнтерактивноеДобавление</dataPath>
<expression>Максимум(ПравоИнтерактивноеДобавление)</expression>
</totalField>
<totalField>
<dataPath>ПравоИнтерактивное</dataPath>
<expression>Максимум(ПравоИнтерактивное)</expression>
<group>ОбъектМетаданных</group>
</totalField>
<totalField>
<dataPath>ПравоИнтерактивное</dataPath>
<expression>Максимум(ПравоОтчета)</expression>
<group>Отчет</group>
</totalField>
<totalField>
<dataPath>ВходВПрограммуРазрешен</dataPath>
<expression>Минимум(ВходВПрограммуРазрешен)</expression>
</totalField>
<totalField>
<dataPath>ПравоЧтение</dataPath>
<expression>Максимум(ПравоЧтение)</expression>
</totalField>
<totalField>
<dataPath>ПравоИзменение</dataPath>
<expression>Максимум(ПравоИзменение)</expression>
</totalField>
<totalField>
<dataPath>ПравоДобавление</dataPath>
<expression>Максимум(ПравоДобавление)</expression>
</totalField>
<totalField>
<dataPath>Право</dataPath>
<expression>Максимум(Право)</expression>
<group>ОбъектМетаданных</group>
</totalField>
<totalField>
<dataPath>Право</dataPath>
<expression>Максимум(ПравоОтчета)</expression>
<group>Отчет</group>
</totalField>
<totalField>
<dataPath>ПравоЧтениеБезОграничения</dataPath>
<expression>Максимум(ПравоЧтениеБезОграничения)</expression>
</totalField>
<totalField>
<dataPath>ПравоИзменениеБезОграничения</dataPath>
<expression>Максимум(ПравоИзменениеБезОграничения)</expression>
</totalField>
<totalField>
<dataPath>ПравоДобавлениеБезОграничения</dataPath>
<expression>Максимум(ПравоДобавлениеБезОграничения)</expression>
</totalField>
<totalField>
<dataPath>ПравоБезОграничения</dataPath>
<expression>Максимум(ПравоБезОграничения)</expression>
<group>ОбъектМетаданных</group>
</totalField>
<totalField>
<dataPath>ВидДоступаПравоЧтение</dataPath>
<expression>Максимум(ВидДоступаПравоЧтение)</expression>
</totalField>
<totalField>
<dataPath>ВидДоступаПравоИзменение</dataPath>
<expression>Максимум(ВидДоступаПравоИзменение)</expression>
</totalField>
<totalField>
<dataPath>ВидДоступаПравоДобавление</dataPath>
<expression>Максимум(ВидДоступаПравоДобавление)</expression>
</totalField>
<totalField>
<dataPath>ВидДоступаПраво</dataPath>
<expression>Максимум(ВидДоступаПраво)</expression>
</totalField>
<totalField>
<dataPath>ВидДоступаПравоЧтениеБезОграничения</dataPath>
<expression>Максимум(ВидДоступаПравоЧтениеБезОграничения)</expression>
</totalField>
<totalField>
<dataPath>ВидДоступаПравоИзменениеБезОграничения</dataPath>
<expression>Максимум(ВидДоступаПравоИзменениеБезОграничения)</expression>
</totalField>
<totalField>
<dataPath>ВидДоступаПравоДобавлениеБезОграничения</dataPath>
<expression>Максимум(ВидДоступаПравоДобавлениеБезОграничения)</expression>
</totalField>
<totalField>
<dataPath>ВидДоступаПравоБезОграничения</dataPath>
<expression>Максимум(ВидДоступаПравоБезОграничения)</expression>
</totalField>
<totalField>
<dataPath>ВидДоступаПравоПросмотр</dataPath>
<expression>Максимум(ВидДоступаПравоПросмотр)</expression>
</totalField>
<totalField>
<dataPath>ВидДоступаПравоРедактирование</dataPath>
<expression>Максимум(ВидДоступаПравоРедактирование)</expression>
</totalField>
<totalField>
<dataPath>ВидДоступаПравоИнтерактивноеДобавление</dataPath>
<expression>Максимум(ВидДоступаПравоИнтерактивноеДобавление)</expression>
</totalField>
<totalField>
<dataPath>ВидДоступаПравоИнтерактивное</dataPath>
<expression>Максимум(ВидДоступаПравоИнтерактивное)</expression>
</totalField>
<totalField>
<dataPath>ЗначениеПрава</dataPath>
<expression>ЗначениеПрава</expression>
</totalField>
<parameter>
<name>ВыводитьГруппировку</name>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Выводить</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:decimal</v8:Type>
<v8:NumberQualifiers>
<v8:Digits>1</v8:Digits>
<v8:FractionDigits>0</v8:FractionDigits>
<v8:AllowedSign>Nonnegative</v8:AllowedSign>
</v8:NumberQualifiers>
</valueType>
<value xsi:type="xs:decimal">0</value>
<useRestriction>true</useRestriction>
<availableAsField>false</availableAsField>
<use>Always</use>
</parameter>
<parameter>
<name>Пользователь</name>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Пользователь</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type xmlns:d4p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d4p1:CatalogRef.ВнешниеПользователи</v8:Type>
<v8:Type xmlns:d4p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d4p1:CatalogRef.ГруппыВнешнихПользователей</v8:Type>
<v8:Type xmlns:d4p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d4p1:CatalogRef.ГруппыПользователей</v8:Type>
<v8:Type xmlns:d4p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d4p1:CatalogRef.Пользователи</v8:Type>
</valueType>
<useRestriction>false</useRestriction>
<valueListAllowed>true</valueListAllowed>
</parameter>
<parameter>
<name>ВидПользователей</name>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Вид пользователей</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:decimal</v8:Type>
<v8:NumberQualifiers>
<v8:Digits>1</v8:Digits>
<v8:FractionDigits>0</v8:FractionDigits>
<v8:AllowedSign>Nonnegative</v8:AllowedSign>
</v8:NumberQualifiers>
</valueType>
<value xsi:nil="true"/>
<useRestriction>false</useRestriction>
<availableValue>
<value xsi:nil="true"/>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Внутренние</v8:content>
</v8:item>
</presentation>
</availableValue>
<availableValue>
<value xsi:type="xs:decimal">1</value>
<presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Внешние</v8:content>
</v8:item>
</presentation>
</availableValue>
</parameter>
<parameter>
<name>НачальныйОтбор</name>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Начальный отбор</v8:content>
</v8:item>
</title>
<value xsi:nil="true"/>
<useRestriction>true</useRestriction>
<availableAsField>false</availableAsField>
</parameter>
<parameter>
<name>ЭлементДанных</name>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Объект</v8:content>
</v8:item>
</title>
<valueType>
<v8:TypeSet xmlns:d4p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d4p1:ExchangePlanRef</v8:TypeSet>
<v8:TypeSet xmlns:d4p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d4p1:BusinessProcessRef</v8:TypeSet>
<v8:TypeSet xmlns:d4p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d4p1:DocumentRef</v8:TypeSet>
<v8:TypeSet xmlns:d4p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d4p1:ChartOfCalculationTypesRef</v8:TypeSet>
<v8:TypeSet xmlns:d4p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d4p1:TaskRef</v8:TypeSet>
<v8:TypeSet xmlns:d4p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d4p1:ChartOfCharacteristicTypesRef</v8:TypeSet>
<v8:TypeSet xmlns:d4p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d4p1:ChartOfAccountsRef</v8:TypeSet>
<v8:TypeSet xmlns:d4p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d4p1:CatalogRef</v8:TypeSet>
</valueType>
<value xsi:nil="true"/>
<useRestriction>true</useRestriction>
<availableAsField>false</availableAsField>
</parameter>
<parameter>
<name>ЗначениеДоступа</name>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Значение</v8:content>
</v8:item>
</title>
<valueType>
<v8:TypeId>9a33b5dc-a8f1-496e-9961-95890984cd86</v8:TypeId>
</valueType>
<value xsi:nil="true"/>
<useRestriction>true</useRestriction>
<availableAsField>false</availableAsField>
</parameter>
<template>
<name>Макет1</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">Пользователь</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Bottom</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Размещение</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTextPlacementType">Wrap</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОриентацияТекста</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">90</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">Расшифровка</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>Пользователь</dcsat:name>
<dcsat:expression>Пользователь</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>Расшифровка</dcsat:name>
<dcsat:fieldExpression>
<dcsat:field>Пользователь</dcsat:field>
<dcsat:expression>Пользователь</dcsat:expression>
</dcsat:fieldExpression>
<dcsat:fieldExpression>
<dcsat:field>ВыводитьГруппировку</dcsat:field>
<dcsat:expression>ПараметрыДанных.ВыводитьГруппировку</dcsat:expression>
</dcsat:fieldExpression>
</parameter>
</template>
<template>
<name>Макет2</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ГруппаДоступа</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Bottom</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Размещение</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTextPlacementType">Wrap</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОриентацияТекста</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">90</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">Расшифровка</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ГруппаДоступа</dcsat:name>
<dcsat:expression>ГруппаДоступа</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>Расшифровка</dcsat:name>
<dcsat:fieldExpression>
<dcsat:field>ГруппаДоступа</dcsat:field>
<dcsat:expression>ГруппаДоступа</dcsat:expression>
</dcsat:fieldExpression>
</parameter>
</template>
<template>
<name>Макет4</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ГруппаДоступаЗаголовок</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">62.375</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">62.375</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Просмотр</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Bottom</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОриентацияТекста</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">90</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Редактирование</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Bottom</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОриентацияТекста</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">90</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Создание</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Bottom</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОриентацияТекста</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">90</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Вид доступа</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Отступ</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">62.375</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">62.375</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОбъединятьПоВертикали</dcscor:parameter>
<dcscor:value xsi:type="xs:boolean">true</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОбъединятьПоВертикали</dcscor:parameter>
<dcscor:value xsi:type="xs:boolean">true</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОбъединятьПоВертикали</dcscor:parameter>
<dcscor:value xsi:type="xs:boolean">true</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Значение доступа</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Отступ</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">62.375</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">62.375</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОбъединятьПоВертикали</dcscor:parameter>
<dcscor:value xsi:type="xs:boolean">true</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОбъединятьПоВертикали</dcscor:parameter>
<dcscor:value xsi:type="xs:boolean">true</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОбъединятьПоВертикали</dcscor:parameter>
<dcscor:value xsi:type="xs:boolean">true</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ГруппаДоступаЗаголовок</dcsat:name>
<dcsat:expression>"&ГруппаДоступаЗаголовок"</dcsat:expression>
</parameter>
</template>
<template>
<name>Макет5</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">Отчет</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">Расшифровка</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>Отчет</dcsat:name>
<dcsat:expression>Представление(Отчет)</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>Расшифровка</dcsat:name>
<dcsat:fieldExpression>
<dcsat:field>ОтчетЗаголовок</dcsat:field>
<dcsat:expression>Отчет</dcsat:expression>
</dcsat:fieldExpression>
</parameter>
</template>
<template>
<name>Макет6</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">Пользователь</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">Расшифровка</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>Пользователь</dcsat:name>
<dcsat:expression>Представление(Пользователь)</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>Расшифровка</dcsat:name>
<dcsat:fieldExpression>
<dcsat:field>Пользователь</dcsat:field>
<dcsat:expression>Пользователь</dcsat:expression>
</dcsat:fieldExpression>
<dcsat:mainAction>OpenValue</dcsat:mainAction>
</parameter>
</template>
<template>
<name>Макет7</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ОбъектМетаданных</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">Расшифровка</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>Расшифровка</dcsat:name>
<dcsat:fieldExpression>
<dcsat:field>ОбъектМетаданныхЗаголовкаОтчета</dcsat:field>
<dcsat:expression>ОбъектМетаданных</dcsat:expression>
</dcsat:fieldExpression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ОбъектМетаданных</dcsat:name>
<dcsat:expression>Представление(ОбъектМетаданных)</dcsat:expression>
</parameter>
</template>
<template>
<name>Макет8</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xmlns:d8p1="http://v8.1c.ru/8.1/data/ui/style" xsi:type="v8ui:Color">d8p1:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаПросмотр"/>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>- просмотр</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">12.5</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">12.5</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xmlns:d8p1="http://v8.1c.ru/8.1/data/ui/style" xsi:type="v8ui:Color">d8p1:ПравоРедактированияФон</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаРедактирование"/>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>- просмотр и редактирование</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">6.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">6.25</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОбъединятьПоГоризонтали</dcscor:parameter>
<dcscor:value xsi:type="xs:boolean">true</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">17.875</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">17.875</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОбъединятьПоГоризонтали</dcscor:parameter>
<dcscor:value xsi:type="xs:boolean">true</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xmlns:d8p1="http://v8.1c.ru/8.1/data/ui/style" xsi:type="v8ui:Color">d8p1:ПравоСозданияФон</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаСоздание"/>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>- просмотр, редактирование и создание</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">33.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">33.625</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">12.5</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">12.5</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">6.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">6.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">17.875</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">17.875</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">33.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">33.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>*</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xmlns:d8p1="http://v8.1c.ru/8.1/data/ui/style" xsi:type="v8ui:Color">d8p1:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаПросмотр"/>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>- просмотр ограничен</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">12.5</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">12.5</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">6.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">6.25</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xmlns:d8p1="http://v8.1c.ru/8.1/data/ui/style" xsi:type="v8ui:Color">d8p1:ПравоНедействительногоПользователяФон</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>- пользователю запрещен вход в приложение</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">17.875</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">17.875</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">33.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">33.625</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">12.5</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">12.5</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">6.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">6.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">17.875</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">17.875</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">33.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">33.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xmlns:d8p1="http://v8.1c.ru/8.1/data/ui/style" xsi:type="v8ui:Color">d8p1:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаИзменениеБезРедактирования"/>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>- просмотр и программное чтение, изменение (R - чтение, U - изменение, I - добавление)</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">12.5</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">12.5</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">6.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">6.25</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">17.875</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">17.875</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">33.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">33.625</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
</template>
<template>
<name>Макет9</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ВидДоступа</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Отступ</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Размещение</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTextPlacementType">Wrap</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">62.375</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">62.375</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">ВидДоступаРасшифровка</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ВидДоступаПравоПросмотр</dcsat:value>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Формат</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БЛ=; БИ=</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">ВидДоступаПравоПросмотрРасшифровка</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ВидДоступаПравоРедактирование</dcsat:value>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Формат</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БЛ=; БИ=</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">ВидДоступаПравоРедактированиеРасшифровка</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ВидДоступаПравоИнтерактивноеДобавление</dcsat:value>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Формат</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БЛ=; БИ=</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">ВидДоступаПравоИнтерактивноеДобавлениеРасшифровка</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ВидДоступа</dcsat:name>
<dcsat:expression>Представление(ВидДоступа)</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>ВидДоступаПравоПросмотрРасшифровка</dcsat:name>
<dcsat:fieldExpression>
<dcsat:field>ПравоПросмотр</dcsat:field>
<dcsat:expression>ЕстьNull(ВидДоступаПравоПросмотр, Ложь)</dcsat:expression>
</dcsat:fieldExpression>
<dcsat:fieldExpression>
<dcsat:field>ПравоЧтениеБезОграничения</dcsat:field>
<dcsat:expression>ЕстьNull(ВидДоступаПравоЧтениеБезОграничения, Ложь)</dcsat:expression>
</dcsat:fieldExpression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>ВидДоступаПравоРедактированиеРасшифровка</dcsat:name>
<dcsat:fieldExpression>
<dcsat:field>ПравоРедактирование</dcsat:field>
<dcsat:expression>ЕстьNull(ВидДоступаПравоРедактирование, Ложь)</dcsat:expression>
</dcsat:fieldExpression>
<dcsat:fieldExpression>
<dcsat:field>ПравоИзменениеБезОграничения</dcsat:field>
<dcsat:expression>ЕстьNull(ВидДоступаПравоИзменениеБезОграничения, Ложь)</dcsat:expression>
</dcsat:fieldExpression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>ВидДоступаПравоИнтерактивноеДобавлениеРасшифровка</dcsat:name>
<dcsat:fieldExpression>
<dcsat:field>ПравоИнтерактивноеДобавление</dcsat:field>
<dcsat:expression>ЕстьNull(ВидДоступаПравоИнтерактивноеДобавление, Ложь)</dcsat:expression>
</dcsat:fieldExpression>
<dcsat:fieldExpression>
<dcsat:field>ПравоДобавлениеБезОграничения</dcsat:field>
<dcsat:expression>ЕстьNull(ВидДоступаПравоДобавлениеБезОграничения, Ложь)</dcsat:expression>
</dcsat:fieldExpression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ВидДоступаПравоПросмотр</dcsat:name>
<dcsat:expression>ВидДоступаПравоПросмотр</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ВидДоступаПравоРедактирование</dcsat:name>
<dcsat:expression>ВидДоступаПравоРедактирование</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ВидДоступаПравоИнтерактивноеДобавление</dcsat:name>
<dcsat:expression>ВидДоступаПравоИнтерактивноеДобавление</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>ВидДоступаРасшифровка</dcsat:name>
<dcsat:fieldExpression>
<dcsat:field>ВидДоступа</dcsat:field>
<dcsat:expression>ВидДоступа</dcsat:expression>
</dcsat:fieldExpression>
</parameter>
</template>
<template>
<name>Макет10</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ПравоИнтерактивное</dcsat:value>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Формат</dcscor:parameter>
<dcscor:value xsi:type="xs:string">ЧФ=</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">Расшифровка</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ПравоИнтерактивное</dcsat:name>
<dcsat:expression>ПравоИнтерактивное</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>Расшифровка</dcsat:name>
<dcsat:fieldExpression>
<dcsat:field>Право</dcsat:field>
<dcsat:expression>ЕстьNull(Право, 0)</dcsat:expression>
</dcsat:fieldExpression>
<dcsat:fieldExpression>
<dcsat:field>ПравоБезОграничения</dcsat:field>
<dcsat:expression>ЕстьNull(ПравоБезОграничения, 0)</dcsat:expression>
</dcsat:fieldExpression>
</parameter>
</template>
<template>
<name>Макет11</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ПравоПросмотр</dcsat:value>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Формат</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БЛ=; БИ=</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">Расшифровка</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ПравоПросмотр</dcsat:name>
<dcsat:expression>ПравоПросмотр</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>Расшифровка</dcsat:name>
<dcsat:fieldExpression>
<dcsat:field>ПравоПросмотр</dcsat:field>
<dcsat:expression>ЕстьNull(ПравоПросмотр, Ложь)</dcsat:expression>
</dcsat:fieldExpression>
<dcsat:fieldExpression>
<dcsat:field>ПравоЧтениеБезОграничения</dcsat:field>
<dcsat:expression>ЕстьNull(ПравоЧтениеБезОграничения, Ложь)</dcsat:expression>
</dcsat:fieldExpression>
</parameter>
</template>
<template>
<name>Макет12</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ПравоРедактирование</dcsat:value>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Формат</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БЛ=; БИ=</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">Расшифровка</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ПравоРедактирование</dcsat:name>
<dcsat:expression>ПравоРедактирование</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>Расшифровка</dcsat:name>
<dcsat:fieldExpression>
<dcsat:field>ПравоРедактирование</dcsat:field>
<dcsat:expression>ЕстьNull(ПравоРедактирование, Ложь)</dcsat:expression>
</dcsat:fieldExpression>
<dcsat:fieldExpression>
<dcsat:field>ПравоИзменениеБезОграничения</dcsat:field>
<dcsat:expression>ЕстьNull(ПравоИзменениеБезОграничения, Ложь)</dcsat:expression>
</dcsat:fieldExpression>
</parameter>
</template>
<template>
<name>Макет13</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ПравоИнтерактивноеДобавление</dcsat:value>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Формат</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БЛ=; БИ=</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">Расшифровка</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ПравоИнтерактивноеДобавление</dcsat:name>
<dcsat:expression>ПравоИнтерактивноеДобавление</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>Расшифровка</dcsat:name>
<dcsat:fieldExpression>
<dcsat:field>ПравоИнтерактивноеДобавление</dcsat:field>
<dcsat:expression>ЕстьNull(ПравоИнтерактивноеДобавление, Ложь)</dcsat:expression>
</dcsat:fieldExpression>
<dcsat:fieldExpression>
<dcsat:field>ПравоДобавлениеБезОграничения</dcsat:field>
<dcsat:expression>ЕстьNull(ПравоДобавлениеБезОграничения, Ложь)</dcsat:expression>
</dcsat:fieldExpression>
</parameter>
</template>
<template>
<name>Макет14</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ЗначениеДоступа</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Отступ</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Размещение</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTextPlacementType">Wrap</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">62.375</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">62.375</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">ЗначениеДоступаРасшифровка</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОбъединятьПоГоризонтали</dcscor:parameter>
<dcscor:value xsi:type="xs:boolean">true</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОбъединятьПоГоризонтали</dcscor:parameter>
<dcscor:value xsi:type="xs:boolean">true</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОбъединятьПоГоризонтали</dcscor:parameter>
<dcscor:value xsi:type="xs:boolean">true</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ЗначениеДоступа</dcsat:name>
<dcsat:expression>Представление(ЗначениеДоступа)</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>ЗначениеДоступаРасшифровка</dcsat:name>
<dcsat:fieldExpression>
<dcsat:field>ЗначениеДоступа</dcsat:field>
<dcsat:expression>ЗначениеДоступа</dcsat:expression>
</dcsat:fieldExpression>
</parameter>
</template>
<template>
<name>Макет15</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Пользователь</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">32.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">32.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Просмотр</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Bottom</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОриентацияТекста</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">90</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Редактирование</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Bottom</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОриентацияТекста</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">90</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Создание</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Bottom</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОриентацияТекста</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">90</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
</template>
<template>
<name>Макет16</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ГруппаДоступа</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Размещение</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTextPlacementType">Wrap</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">62.375</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">62.375</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">ГруппаДоступаРасшифровка</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ПравоПросмотр</dcsat:value>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Формат</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БЛ=; БИ=</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">ПравоПросмотрРасшифровка</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ПравоРедактирование</dcsat:value>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Формат</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БЛ=; БИ=</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">ПравоРедактированиеРасшифровка</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ПравоИнтерактивноеДобавление</dcsat:value>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Формат</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БЛ=; БИ=</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">ПравоИнтерактивноеДобавлениеРасшифровка</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ГруппаДоступа</dcsat:name>
<dcsat:expression>Представление(ГруппаДоступа)</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ПравоПросмотр</dcsat:name>
<dcsat:expression>ПравоПросмотр</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ПравоРедактирование</dcsat:name>
<dcsat:expression>ПравоРедактирование</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ПравоИнтерактивноеДобавление</dcsat:name>
<dcsat:expression>ПравоИнтерактивноеДобавление</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>ПравоПросмотрРасшифровка</dcsat:name>
<dcsat:fieldExpression>
<dcsat:field>ПравоПросмотр</dcsat:field>
<dcsat:expression>ЕстьNull(ПравоПросмотр, Ложь)</dcsat:expression>
</dcsat:fieldExpression>
<dcsat:fieldExpression>
<dcsat:field>ПравоЧтениеБезОграничения</dcsat:field>
<dcsat:expression>ЕстьNull(ПравоЧтениеБезОграничения, Ложь)</dcsat:expression>
</dcsat:fieldExpression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>ПравоРедактированиеРасшифровка</dcsat:name>
<dcsat:fieldExpression>
<dcsat:field>ПравоРедактирование</dcsat:field>
<dcsat:expression>ЕстьNull(ПравоРедактирование, Ложь)</dcsat:expression>
</dcsat:fieldExpression>
<dcsat:fieldExpression>
<dcsat:field>ПравоИзменениеБезОграничения</dcsat:field>
<dcsat:expression>ЕстьNull(ПравоИзменениеБезОграничения, Ложь)</dcsat:expression>
</dcsat:fieldExpression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>ПравоИнтерактивноеДобавлениеРасшифровка</dcsat:name>
<dcsat:fieldExpression>
<dcsat:field>ПравоИнтерактивноеДобавление</dcsat:field>
<dcsat:expression>ЕстьNull(ПравоИнтерактивноеДобавление, Ложь)</dcsat:expression>
</dcsat:fieldExpression>
<dcsat:fieldExpression>
<dcsat:field>ПравоДобавлениеБезОграничения</dcsat:field>
<dcsat:expression>ЕстьNull(ПравоДобавлениеБезОграничения, Ложь)</dcsat:expression>
</dcsat:fieldExpression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>ГруппаДоступаРасшифровка</dcsat:name>
<dcsat:fieldExpression>
<dcsat:field>ГруппаДоступа</dcsat:field>
<dcsat:expression>ГруппаДоступа</dcsat:expression>
</dcsat:fieldExpression>
</parameter>
</template>
<template>
<name>Макет17</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">5.125</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">5.125</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ЗаголовокПрава</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">18.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">18.625</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ПодсказкаПрава</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ПодсказкаПрава</dcsat:name>
<dcsat:expression>ПодсказкаПрава</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ЗаголовокПрава</dcsat:name>
<dcsat:expression>ЗаголовокПрава</dcsat:expression>
</parameter>
</template>
<template>
<name>Макет18</name>
<template xsi:nil="true"/>
</template>
<template>
<name>Макет19</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Права на таблицу </v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ОбъектМетаданных</dcsat:value>
</dcsat:item>
</dcsat:tableCell>
</dcsat:item>
</template>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ОбъектМетаданных</dcsat:name>
<dcsat:expression>Представление(ОбъектМетаданных)</dcsat:expression>
</parameter>
</template>
<template>
<name>Макет21</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ВладелецНастроекЗаголовок</dcsat:value>
</dcsat:item>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Права назначены</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
</dcsat:tableCell>
</dcsat:item>
</template>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ВладелецНастроекЗаголовок</dcsat:name>
<dcsat:expression>"&ВладелецНастроекЗаголовок"</dcsat:expression>
</parameter>
</template>
<template>
<name>Макет20</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">НастроенноеПраво</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Bottom</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Размещение</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTextPlacementType">Wrap</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОриентацияТекста</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">90</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">Расшифровка</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>НастроенноеПраво</dcsat:name>
<dcsat:expression>НастроенноеПраво</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>Расшифровка</dcsat:name>
<dcsat:fieldExpression>
<dcsat:field>НастроенноеПраво</dcsat:field>
<dcsat:expression>НастроенноеПраво</dcsat:expression>
</dcsat:fieldExpression>
</parameter>
</template>
<template>
<name>Макет22</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ЗначениеПрава</dcsat:value>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Формат</dcscor:parameter>
<dcscor:value xsi:type="xs:string">ЧФ=</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">Расшифровка</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>Расшифровка</dcsat:name>
<dcsat:fieldExpression>
<dcsat:field>ЗначениеПрава</dcsat:field>
<dcsat:expression>ЗначениеПрава</dcsat:expression>
</dcsat:fieldExpression>
<dcsat:fieldExpression>
<dcsat:field>ЭтоВладелецНастроек</dcsat:field>
<dcsat:expression>ЭтоВладелецНастроек</dcsat:expression>
</dcsat:fieldExpression>
<dcsat:fieldExpression>
<dcsat:field>НастроенноеПраво</dcsat:field>
<dcsat:expression>Максимум(НастроенноеПраво)</dcsat:expression>
</dcsat:fieldExpression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ЗначениеПрава</dcsat:name>
<dcsat:expression>ЗначениеПрава</dcsat:expression>
</parameter>
</template>
<template>
<name>Макет23</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3.375</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3.375</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ВладелецИлиПользовательНастроек</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">Расшифровка</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ВладелецИлиПользовательНастроек</dcsat:name>
<dcsat:expression>Представление(ВладелецИлиПользовательНастроек)</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>Расшифровка</dcsat:name>
<dcsat:fieldExpression>
<dcsat:field>ВладелецИлиПользовательНастроек</dcsat:field>
<dcsat:expression>ВладелецИлиПользовательНастроек</dcsat:expression>
</dcsat:fieldExpression>
<dcsat:fieldExpression>
<dcsat:field>ЭтоВладелецНастроек</dcsat:field>
<dcsat:expression>ЭтоВладелецНастроек</dcsat:expression>
</dcsat:fieldExpression>
<dcsat:fieldExpression>
<dcsat:field>Уровень</dcsat:field>
<dcsat:expression>СистемныеПоля.Уровень</dcsat:expression>
</dcsat:fieldExpression>
<dcsat:mainAction>OpenValue</dcsat:mainAction>
</parameter>
</template>
<template>
<name>Макет24</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ЭлементДанных</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Расшифровка</dcscor:parameter>
<dcscor:value xsi:type="dcscor:Parameter">Расшифровка</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ЭлементДанных</dcsat:name>
<dcsat:expression>Представление(ЭлементДанных)</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:DetailsAreaTemplateParameter">
<dcsat:name>Расшифровка</dcsat:name>
</parameter>
</template>
<template>
<name>Макет25</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xmlns:d8p1="http://v8.1c.ru/8.1/data/ui/style" xsi:type="v8ui:Color">d8p1:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаПросмотр"/>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>- просмотр</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">12.5</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">12.5</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xmlns:d8p1="http://v8.1c.ru/8.1/data/ui/style" xsi:type="v8ui:Color">d8p1:ПравоРедактированияФон</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаРедактирование"/>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>- просмотр и редактирование</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">6.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">6.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОбъединятьПоГоризонтали</dcscor:parameter>
<dcscor:value xsi:type="xs:boolean">true</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">17.875</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">17.875</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОбъединятьПоГоризонтали</dcscor:parameter>
<dcscor:value xsi:type="xs:boolean">true</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">33.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">33.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">12.5</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">12.5</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">6.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">6.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">17.875</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">17.875</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">33.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">33.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xmlns:d8p1="http://v8.1c.ru/8.1/data/ui/style" xsi:type="v8ui:Color">d8p1:ПравоНедействительногоПользователяФон</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>- пользователю запрещен вход в приложение</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">12.5</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">12.5</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">6.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">6.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">17.875</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">17.875</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">33.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">33.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">12.5</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">12.5</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">6.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">6.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">17.875</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">17.875</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">33.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">33.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">4.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xmlns:d8p1="http://v8.1c.ru/8.1/data/ui/style" xsi:type="v8ui:Color">d8p1:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаИзменениеБезРедактирования"/>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>- просмотр и программное чтение, изменение (R - чтение, U - изменение, I - добавление)</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">12.5</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">12.5</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">6.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">6.25</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">17.875</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">17.875</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">33.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">33.625</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложениеКартинки</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
</template>
<template>
<name>Макет26</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Пользователь</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">32.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">32.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Просмотр</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Bottom</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОриентацияТекста</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">90</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Редактирование</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Bottom</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ОриентацияТекста</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">90</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
</template>
</template>
<template>
<name>Макет27</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Открыт доступ к: </v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ЗначениеДоступа</dcsat:value>
</dcsat:item>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content> (</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="dcscor:Parameter">ВидДоступа</dcsat:value>
</dcsat:item>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>)</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
</dcsat:tableCell>
</dcsat:item>
</template>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ЗначениеДоступа</dcsat:name>
<dcsat:expression>Представление(ЗначениеДоступа)</dcsat:expression>
</parameter>
<parameter xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:ExpressionAreaTemplateParameter">
<dcsat:name>ВидДоступа</dcsat:name>
<dcsat:expression>Представление(ВидДоступа)</dcsat:expression>
</parameter>
</template>
<fieldTemplate>
<field>ПравоИнтерактивное</field>
<template>Макет10</template>
</fieldTemplate>
<fieldTemplate>
<field>ПравоПросмотр</field>
<template>Макет11</template>
</fieldTemplate>
<fieldTemplate>
<field>ПравоРедактирование</field>
<template>Макет12</template>
</fieldTemplate>
<fieldTemplate>
<field>ПравоИнтерактивноеДобавление</field>
<template>Макет13</template>
</fieldTemplate>
<fieldTemplate>
<field>ЗначениеПрава</field>
<template>Макет22</template>
</fieldTemplate>
<groupTemplate>
<groupName>КолонкаПользователь</groupName>
<templateType>Header</templateType>
<template>Макет1</template>
</groupTemplate>
<groupTemplate>
<groupName>КолонкаГруппаДоступа</groupName>
<templateType>Header</templateType>
<template>Макет2</template>
</groupTemplate>
<groupTemplate>
<groupName>ПользовательЗаголовок</groupName>
<templateType>Header</templateType>
<template>Макет6</template>
</groupTemplate>
<groupTemplate>
<groupName>ОбъектМетаданныхЗаголовок</groupName>
<templateType>Header</templateType>
<template>Макет7</template>
</groupTemplate>
<groupTemplate>
<groupName>Легенда</groupName>
<templateType>Header</templateType>
<template>Макет8</template>
</groupTemplate>
<groupTemplate>
<groupName>ОтчетЗаголовок</groupName>
<templateType>Header</templateType>
<template>Макет5</template>
</groupTemplate>
<groupTemplate>
<groupName>ВидДоступа</groupName>
<templateType>Header</templateType>
<template>Макет9</template>
</groupTemplate>
<groupTemplate>
<groupName>ЗначениеДоступа</groupName>
<templateType>Header</templateType>
<template>Макет14</template>
</groupTemplate>
<groupTemplate>
<groupName>ПраваПоГруппамДоступа</groupName>
<templateType>Header</templateType>
<template>Макет16</template>
</groupTemplate>
<groupTemplate>
<groupName>ЛегендаНастроекПрав</groupName>
<templateType>Header</templateType>
<template>Макет17</template>
</groupTemplate>
<groupTemplate>
<groupName>ТаблицаЗаголовок</groupName>
<templateType>Header</templateType>
<template>Макет19</template>
</groupTemplate>
<groupTemplate>
<groupName>НастроенноеПраво</groupName>
<templateType>Header</templateType>
<template>Макет20</template>
</groupTemplate>
<groupTemplate>
<groupName>ВладелецИлиПользовательНастроек</groupName>
<templateType>Header</templateType>
<template>Макет23</template>
</groupTemplate>
<groupTemplate>
<groupName>ЭлементДанныхЗаголовок</groupName>
<templateType>Header</templateType>
<template>Макет24</template>
</groupTemplate>
<groupTemplate>
<groupName>ЛегендаПраваНаЭлементДанных</groupName>
<templateType>Header</templateType>
<template>Макет25</template>
</groupTemplate>
<groupTemplate>
<groupName>ОткрытДоступКЗначениюЗаголовок</groupName>
<templateType>Header</templateType>
<template>Макет27</template>
</groupTemplate>
<groupHeaderTemplate>
<groupName>ПраваПоГруппамДоступа</groupName>
<templateType>Header</templateType>
<template>Макет4</template>
</groupHeaderTemplate>
<groupHeaderTemplate>
<groupName>ПраваПользователя</groupName>
<templateType>Header</templateType>
<template>Макет15</template>
</groupHeaderTemplate>
<groupHeaderTemplate>
<groupName>ЛегендаНастроекПрав</groupName>
<templateType>Header</templateType>
<template>Макет18</template>
</groupHeaderTemplate>
<groupHeaderTemplate>
<groupName>ВладелецИлиПользовательНастроек</groupName>
<templateType>Header</templateType>
<template>Макет21</template>
</groupHeaderTemplate>
<groupHeaderTemplate>
<groupName>ПраваПользователяНаЭлементДанных</groupName>
<templateType>Header</templateType>
<template>Макет26</template>
</groupHeaderTemplate>
<settingsVariant>
<dcsset:name>АнализПравДоступа</dcsset:name>
<dcsset:presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Анализ прав доступа</v8:content>
</v8:item>
</dcsset:presentation>
<dcsset:settings xmlns:style="http://v8.1c.ru/8.1/data/ui/style" xmlns:sys="http://v8.1c.ru/8.1/data/ui/fonts/system" xmlns:web="http://v8.1c.ru/8.1/data/ui/colors/web" xmlns:win="http://v8.1c.ru/8.1/data/ui/colors/windows">
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:use>false</dcsset:use>
<dcsset:left xsi:type="dcscor:Field">ОбъектМетаданных</dcsset:left>
<dcsset:comparisonType>InList</dcsset:comparisonType>
<dcsset:right xsi:type="v8:ValueListType">
<v8:valueType/>
<v8:lastId xsi:type="xs:decimal">-1</v8:lastId>
</dcsset:right>
<dcsset:userSettingID>91c5e0cc-63a9-4398-b8d3-561eeecd248d</dcsset:userSettingID>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:use>false</dcsset:use>
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>GreaterOrEqual</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>39a199ad-a34a-4363-bcad-f674ea3b14c8</dcsset:userSettingID>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
<dcsset:presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Скрыть пользователей с отключенным входом в приложение</v8:content>
</v8:item>
</dcsset:presentation>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>685f8653-1edd-40d3-9129-5dbc8bab6e90</dcsset:userSettingID>
</dcsset:item>
</dcsset:filter>
<dcsset:dataParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>ВыводитьГруппировку</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">0</dcscor:value>
<dcsset:userSettingID>1f8559fb-7530-49a5-b6ca-17e56b66c70f</dcsset:userSettingID>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>Пользователь</dcscor:parameter>
<dcscor:value xsi:nil="true"/>
<dcsset:userSettingID>f699765c-29a8-4cf9-8733-316b24f75277</dcsset:userSettingID>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВидПользователей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">0</dcscor:value>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>1c9ede17-956a-4268-8492-d46be7468fb8</dcsset:userSettingID>
</dcscor:item>
</dcsset:dataParameters>
<dcsset:conditionalAppearance>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаЧтениеБезПросмотра"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаПросмотр"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаИзменениеБезПросмотраИРедактирования"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаИзменениеБезРедактирования"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоРедактированияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаРедактирование"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезПросмотраИРедактированияИСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезРедактированияИСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоРедактированияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоСозданияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаСоздание"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Filled</dcsset:comparisonType>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоНедействительногоПользователяФон</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
<dcsset:item>
<dcsset:field>Отчет</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsset:appearance>
<dcsset:useInHierarchicalGroup>DontUse</dcsset:useInHierarchicalGroup>
<dcsset:useInOverall>DontUse</dcsset:useInOverall>
<dcsset:useInFieldsHeader>DontUse</dcsset:useInFieldsHeader>
<dcsset:useInHeader>DontUse</dcsset:useInHeader>
<dcsset:useInParameters>DontUse</dcsset:useInParameters>
<dcsset:useInFilter>DontUse</dcsset:useInFilter>
<dcsset:useInResourceFieldsHeader>DontUse</dcsset:useInResourceFieldsHeader>
<dcsset:useInOverallHeader>DontUse</dcsset:useInOverallHeader>
<dcsset:useInOverallResourceFieldsHeader>DontUse</dcsset:useInOverallResourceFieldsHeader>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>МаксимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">70</dcscor:value>
</dcscor:item>
</dcsset:appearance>
<dcsset:useInGroup>DontUse</dcsset:useInGroup>
<dcsset:useInHierarchicalGroup>DontUse</dcsset:useInHierarchicalGroup>
<dcsset:useInOverall>DontUse</dcsset:useInOverall>
<dcsset:useInHeader>DontUse</dcsset:useInHeader>
<dcsset:useInParameters>DontUse</dcsset:useInParameters>
<dcsset:useInFilter>DontUse</dcsset:useInFilter>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветТекста</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ТекстЗапрещеннойЯчейкиЦвет</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
</dcsset:conditionalAppearance>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ГоризонтальноеРасположениеОбщихИтогов</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTotalPlacement">None</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВертикальноеРасположениеОбщихИтогов</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTotalPlacement">None</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьПараметрыДанных</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьОтбор</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:item xsi:type="dcsset:StructureItemTable">
<dcsset:column>
<dcsset:name>КолонкаПользователь</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>Пользователь</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:column>
<dcsset:row>
<dcsset:name>ГруппировкаПоТаблицам</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:row>
<dcsset:row>
<dcsset:use>false</dcsset:use>
<dcsset:name>ГруппировкаПоТаблицамОтчетов</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>Отчет</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Отчет</dcsset:left>
<dcsset:comparisonType>Filled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьОтбор</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:item>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
</dcsset:item>
</dcsset:row>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>Легенда</dcsset:name>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>МакетОформления</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БезОформления</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>КоличествоЗаписей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">1</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>ebf1c91e-e3cf-426d-b2ee-13552003fa74</dcsset:userSettingID>
<dcsset:userSettingPresentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Легенда</v8:content>
</v8:item>
</dcsset:userSettingPresentation>
</dcsset:item>
</dcsset:settings>
</settingsVariant>
<settingsVariant>
<dcsset:name>ПраваПользователейНаТаблицы</dcsset:name>
<dcsset:presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Права пользователей на таблицы</v8:content>
</v8:item>
</dcsset:presentation>
<dcsset:settings xmlns:style="http://v8.1c.ru/8.1/data/ui/style" xmlns:sys="http://v8.1c.ru/8.1/data/ui/fonts/system" xmlns:web="http://v8.1c.ru/8.1/data/ui/colors/web" xmlns:win="http://v8.1c.ru/8.1/data/ui/colors/windows">
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:use>false</dcsset:use>
<dcsset:left xsi:type="dcscor:Field">ОбъектМетаданных</dcsset:left>
<dcsset:comparisonType>InList</dcsset:comparisonType>
<dcsset:right xsi:type="v8:ValueListType">
<v8:valueType/>
<v8:lastId xsi:type="xs:decimal">-1</v8:lastId>
</dcsset:right>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>0231de1c-3184-40d8-8247-c5650409922c</dcsset:userSettingID>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:use>false</dcsset:use>
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>GreaterOrEqual</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>4befccc4-9010-4c6a-9575-82660bbc06bf</dcsset:userSettingID>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:use>false</dcsset:use>
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
<dcsset:presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Скрыть пользователей с отключенным входом в приложение</v8:content>
</v8:item>
</dcsset:presentation>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>98ef20f5-9394-4a5b-bd98-61d4fdfc5707</dcsset:userSettingID>
</dcsset:item>
</dcsset:filter>
<dcsset:dataParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>Пользователь</dcscor:parameter>
<dcscor:value xsi:nil="true"/>
<dcsset:userSettingID>013c6526-4184-4012-a7e3-c7ce958fbb8c</dcsset:userSettingID>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВидПользователей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">0</dcscor:value>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>c3b63d35-6238-452e-89e6-7592c7814b30</dcsset:userSettingID>
</dcscor:item>
</dcsset:dataParameters>
<dcsset:conditionalAppearance>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаЧтениеБезПросмотра"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаПросмотр"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаИзменениеБезПросмотраИРедактирования"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаИзменениеБезРедактирования"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоРедактированияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаРедактирование"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезПросмотраИРедактированияИСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезРедактированияИСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоРедактированияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоСозданияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаСоздание"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Filled</dcsset:comparisonType>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоНедействительногоПользователяФон</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsset:appearance>
<dcsset:useInHierarchicalGroup>DontUse</dcsset:useInHierarchicalGroup>
<dcsset:useInOverall>DontUse</dcsset:useInOverall>
<dcsset:useInFieldsHeader>DontUse</dcsset:useInFieldsHeader>
<dcsset:useInHeader>DontUse</dcsset:useInHeader>
<dcsset:useInParameters>DontUse</dcsset:useInParameters>
<dcsset:useInFilter>DontUse</dcsset:useInFilter>
<dcsset:useInResourceFieldsHeader>DontUse</dcsset:useInResourceFieldsHeader>
<dcsset:useInOverallHeader>DontUse</dcsset:useInOverallHeader>
<dcsset:useInOverallResourceFieldsHeader>DontUse</dcsset:useInOverallResourceFieldsHeader>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>МаксимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">70</dcscor:value>
</dcscor:item>
</dcsset:appearance>
<dcsset:useInGroup>DontUse</dcsset:useInGroup>
<dcsset:useInHierarchicalGroup>DontUse</dcsset:useInHierarchicalGroup>
<dcsset:useInOverall>DontUse</dcsset:useInOverall>
<dcsset:useInHeader>DontUse</dcsset:useInHeader>
<dcsset:useInParameters>DontUse</dcsset:useInParameters>
<dcsset:useInFilter>DontUse</dcsset:useInFilter>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветТекста</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ТекстЗапрещеннойЯчейкиЦвет</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
</dcsset:conditionalAppearance>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ГоризонтальноеРасположениеОбщихИтогов</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTotalPlacement">None</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВертикальноеРасположениеОбщихИтогов</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTotalPlacement">None</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:item xsi:type="dcsset:StructureItemTable">
<dcsset:column>
<dcsset:name>КолонкаПользователь</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>Пользователь</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:column>
<dcsset:row>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:row>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>Легенда</dcsset:name>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>МакетОформления</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БезОформления</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>КоличествоЗаписей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">1</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>b7d4003d-6df0-435a-a7c9-7d59ce0d623a</dcsset:userSettingID>
<dcsset:userSettingPresentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Легенда</v8:content>
</v8:item>
</dcsset:userSettingPresentation>
</dcsset:item>
</dcsset:settings>
</settingsVariant>
<settingsVariant>
<dcsset:name>ПраваПользователяНаТаблицы</dcsset:name>
<dcsset:presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Права пользователя на таблицы</v8:content>
</v8:item>
</dcsset:presentation>
<dcsset:settings xmlns:style="http://v8.1c.ru/8.1/data/ui/style" xmlns:sys="http://v8.1c.ru/8.1/data/ui/fonts/system" xmlns:web="http://v8.1c.ru/8.1/data/ui/colors/web" xmlns:win="http://v8.1c.ru/8.1/data/ui/colors/windows">
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ГруппаДоступа</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:use>false</dcsset:use>
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>GreaterOrEqual</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>12d5529f-b584-44b3-b37e-ffa717fce6f1</dcsset:userSettingID>
</dcsset:item>
</dcsset:filter>
<dcsset:dataParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВидПользователей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">0</dcscor:value>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>559f128d-0c9c-47c6-829e-1fd1869add29</dcsset:userSettingID>
</dcscor:item>
</dcsset:dataParameters>
<dcsset:conditionalAppearance>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаЧтениеБезПросмотра"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаПросмотр"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаИзменениеБезПросмотраИРедактирования"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаИзменениеБезРедактирования"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоРедактированияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаРедактирование"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезПросмотраИРедактированияИСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезРедактированияИСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоРедактированияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоСозданияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаСоздание"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Filled</dcsset:comparisonType>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоНедействительногоПользователяФон</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsset:appearance>
<dcsset:useInHierarchicalGroup>DontUse</dcsset:useInHierarchicalGroup>
<dcsset:useInOverall>DontUse</dcsset:useInOverall>
<dcsset:useInFieldsHeader>DontUse</dcsset:useInFieldsHeader>
<dcsset:useInHeader>DontUse</dcsset:useInHeader>
<dcsset:useInParameters>DontUse</dcsset:useInParameters>
<dcsset:useInFilter>DontUse</dcsset:useInFilter>
<dcsset:useInResourceFieldsHeader>DontUse</dcsset:useInResourceFieldsHeader>
<dcsset:useInOverallHeader>DontUse</dcsset:useInOverallHeader>
<dcsset:useInOverallResourceFieldsHeader>DontUse</dcsset:useInOverallResourceFieldsHeader>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ГруппаДоступа</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>МаксимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">70</dcscor:value>
</dcscor:item>
</dcsset:appearance>
<dcsset:useInGroup>DontUse</dcsset:useInGroup>
<dcsset:useInHierarchicalGroup>DontUse</dcsset:useInHierarchicalGroup>
<dcsset:useInOverall>DontUse</dcsset:useInOverall>
<dcsset:useInHeader>DontUse</dcsset:useInHeader>
<dcsset:useInParameters>DontUse</dcsset:useInParameters>
<dcsset:useInFilter>DontUse</dcsset:useInFilter>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ГруппаДоступа</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ГруппаДоступа</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветТекста</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ТекстЗапрещеннойЯчейкиЦвет</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Текст</dcscor:parameter>
<dcscor:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content><Без доступа></v8:content>
</v8:item>
</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
</dcsset:conditionalAppearance>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ГоризонтальноеРасположениеОбщихИтогов</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTotalPlacement">None</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВертикальноеРасположениеОбщихИтогов</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTotalPlacement">None</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьПараметрыДанных</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьОтбор</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>ПользовательЗаголовок</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>Пользователь</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:item xsi:type="dcsset:StructureItemTable">
<dcsset:column>
<dcsset:name>КолонкаГруппаДоступа</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ГруппаДоступа</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ГруппаДоступа</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:column>
<dcsset:row>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:row>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
</dcsset:item>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>Легенда</dcsset:name>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>МакетОформления</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БезОформления</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>КоличествоЗаписей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">1</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>d7ffd476-3d65-411a-b844-2e3c54a01723</dcsset:userSettingID>
<dcsset:userSettingPresentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Легенда</v8:content>
</v8:item>
</dcsset:userSettingPresentation>
</dcsset:item>
</dcsset:settings>
</settingsVariant>
<settingsVariant>
<dcsset:name>ПраваПользователейНаТаблицу</dcsset:name>
<dcsset:presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Права пользователей на таблицу</v8:content>
</v8:item>
</dcsset:presentation>
<dcsset:settings xmlns:style="http://v8.1c.ru/8.1/data/ui/style" xmlns:sys="http://v8.1c.ru/8.1/data/ui/fonts/system" xmlns:web="http://v8.1c.ru/8.1/data/ui/colors/web" xmlns:win="http://v8.1c.ru/8.1/data/ui/colors/windows">
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоПросмотр</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоРедактирование</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоИнтерактивноеДобавление</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:use>false</dcsset:use>
<dcsset:left xsi:type="dcscor:Field">ОбъектМетаданных</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:viewMode>Normal</dcsset:viewMode>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:use>false</dcsset:use>
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>GreaterOrEqual</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>333e101d-6632-4c33-b582-28b2863c71dc</dcsset:userSettingID>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:use>false</dcsset:use>
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
<dcsset:presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Скрыть пользователей с отключенным входом в приложение</v8:content>
</v8:item>
</dcsset:presentation>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>0c68038c-5afb-41d4-8210-50ddfee8fb65</dcsset:userSettingID>
</dcsset:item>
</dcsset:filter>
<dcsset:dataParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>Пользователь</dcscor:parameter>
<dcscor:value xsi:nil="true"/>
<dcsset:userSettingID>69d002a9-72ff-4a80-aa42-a72e9efaa842</dcsset:userSettingID>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВидПользователей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">0</dcscor:value>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>56cc2aed-3185-47d6-9681-1de850bcb26c</dcsset:userSettingID>
</dcscor:item>
</dcsset:dataParameters>
<dcsset:conditionalAppearance>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоПросмотр</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоЧтение</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоПросмотр</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаЧтениеБезПросмотра"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоПросмотр</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоПросмотр</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаПросмотр"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоРедактирование</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИзменение</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоРедактирование</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаИзменениеБезПросмотраИРедактирования"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоРедактирование</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоРедактирование</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоРедактированияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаРедактирование"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивноеДобавление</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоДобавление</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивноеДобавление</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезПросмотраИРедактированияИСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивноеДобавление</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивноеДобавление</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоСозданияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаСоздание"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоПросмотр</dcsset:field>
</dcsset:item>
<dcsset:item>
<dcsset:field>ПравоРедактирование</dcsset:field>
</dcsset:item>
<dcsset:item>
<dcsset:field>ПравоИнтерактивноеДобавление</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Filled</dcsset:comparisonType>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоНедействительногоПользователяФон</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоПросмотр</dcsset:field>
</dcsset:item>
<dcsset:item>
<dcsset:field>ПравоРедактирование</dcsset:field>
</dcsset:item>
<dcsset:item>
<dcsset:field>ПравоИнтерактивноеДобавление</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsset:appearance>
<dcsset:useInHierarchicalGroup>DontUse</dcsset:useInHierarchicalGroup>
<dcsset:useInOverall>DontUse</dcsset:useInOverall>
<dcsset:useInFieldsHeader>DontUse</dcsset:useInFieldsHeader>
<dcsset:useInHeader>DontUse</dcsset:useInHeader>
<dcsset:useInParameters>DontUse</dcsset:useInParameters>
<dcsset:useInFilter>DontUse</dcsset:useInFilter>
<dcsset:useInResourceFieldsHeader>DontUse</dcsset:useInResourceFieldsHeader>
<dcsset:useInOverallHeader>DontUse</dcsset:useInOverallHeader>
<dcsset:useInOverallResourceFieldsHeader>DontUse</dcsset:useInOverallResourceFieldsHeader>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветТекста</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ТекстЗапрещеннойЯчейкиЦвет</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
</dcsset:conditionalAppearance>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ГоризонтальноеРасположениеОбщихИтогов</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTotalPlacement">None</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВертикальноеРасположениеОбщихИтогов</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTotalPlacement">None</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьПараметрыДанных</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьОтбор</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>ОбъектМетаданныхЗаголовок</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:item xsi:type="dcsset:StructureItemTable"/>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>ПраваПользователя</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>Пользователь</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
</dcsset:item>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>Легенда</dcsset:name>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>МакетОформления</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БезОформления</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>КоличествоЗаписей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">1</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>a71bf3f1-8265-4e84-9bde-1ebd2d3c71eb</dcsset:userSettingID>
<dcsset:userSettingPresentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Легенда</v8:content>
</v8:item>
</dcsset:userSettingPresentation>
</dcsset:item>
</dcsset:settings>
</settingsVariant>
<settingsVariant>
<dcsset:name>ПраваПользователяНаТаблицу</dcsset:name>
<dcsset:presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Права пользователя на таблицу</v8:content>
</v8:item>
</dcsset:presentation>
<dcsset:settings xmlns:style="http://v8.1c.ru/8.1/data/ui/style" xmlns:sys="http://v8.1c.ru/8.1/data/ui/fonts/system" xmlns:web="http://v8.1c.ru/8.1/data/ui/colors/web" xmlns:win="http://v8.1c.ru/8.1/data/ui/colors/windows">
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ГруппаДоступа</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоПросмотр</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоРедактирование</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоИнтерактивноеДобавление</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ВидДоступа</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ВсеРазрешены</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ЗначениеДоступа</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ОбъектМетаданных</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:viewMode>Normal</dcsset:viewMode>
</dcsset:item>
</dcsset:filter>
<dcsset:dataParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВидПользователей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">0</dcscor:value>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>b980b679-2ce5-4c74-8984-eff50fcd1562</dcsset:userSettingID>
</dcscor:item>
</dcsset:dataParameters>
<dcsset:conditionalAppearance>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоПросмотр</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоЧтение</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоПросмотр</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаЧтениеБезПросмотра"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоПросмотр</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоПросмотр</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаПросмотр"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоРедактирование</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИзменение</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоРедактирование</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаИзменениеБезПросмотраИРедактирования"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоРедактирование</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоРедактирование</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоРедактированияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаРедактирование"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивноеДобавление</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоДобавление</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивноеДобавление</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезПросмотраИРедактированияИСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивноеДобавление</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивноеДобавление</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоСозданияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаСоздание"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоПросмотр</dcsset:field>
</dcsset:item>
<dcsset:item>
<dcsset:field>ПравоРедактирование</dcsset:field>
</dcsset:item>
<dcsset:item>
<dcsset:field>ПравоИнтерактивноеДобавление</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Filled</dcsset:comparisonType>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоНедействительногоПользователяФон</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоПросмотр</dcsset:field>
</dcsset:item>
<dcsset:item>
<dcsset:field>ПравоРедактирование</dcsset:field>
</dcsset:item>
<dcsset:item>
<dcsset:field>ПравоИнтерактивноеДобавление</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ВидДоступаПравоПросмотр</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВидДоступаПравоЧтение</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВидДоступаПравоПросмотр</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаЧтениеБезПросмотра"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ВидДоступаПравоПросмотр</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВидДоступаПравоПросмотр</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаПросмотр"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ВидДоступаПравоРедактирование</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВидДоступаПравоИзменение</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВидДоступаПравоРедактирование</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаИзменениеБезПросмотраИРедактирования"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ВидДоступаПравоРедактирование</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВидДоступаПравоРедактирование</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоРедактированияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаРедактирование"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ВидДоступаПравоИнтерактивноеДобавление</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВидДоступаПравоДобавление</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВидДоступаПравоИнтерактивноеДобавление</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезПросмотраИРедактированияИСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ВидДоступаПравоИнтерактивноеДобавление</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВидДоступаПравоИнтерактивноеДобавление</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоСозданияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаСоздание"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ВидДоступаПравоПросмотр</dcsset:field>
</dcsset:item>
<dcsset:item>
<dcsset:field>ВидДоступаПравоРедактирование</dcsset:field>
</dcsset:item>
<dcsset:item>
<dcsset:field>ВидДоступаПравоИнтерактивноеДобавление</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВидДоступаПраво</dcsset:left>
<dcsset:comparisonType>Filled</dcsset:comparisonType>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоНедействительногоПользователяФон</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ВидДоступаПравоПросмотр</dcsset:field>
</dcsset:item>
<dcsset:item>
<dcsset:field>ВидДоступаПравоРедактирование</dcsset:field>
</dcsset:item>
<dcsset:item>
<dcsset:field>ВидДоступаПравоИнтерактивноеДобавление</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ГруппаДоступа</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ГруппаДоступа</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветТекста</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ТекстЗапрещеннойЯчейкиЦвет</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Текст</dcscor:parameter>
<dcscor:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content><Без доступа></v8:content>
</v8:item>
</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
</dcsset:conditionalAppearance>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ГоризонтальноеРасположениеОбщихИтогов</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTotalPlacement">None</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВертикальноеРасположениеОбщихИтогов</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTotalPlacement">None</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьПараметрыДанных</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьОтбор</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>ПользовательЗаголовок</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>Пользователь</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>ОбъектМетаданныхЗаголовок</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:item xsi:type="dcsset:StructureItemTable"/>
</dcsset:item>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemTable">
<dcsset:use>false</dcsset:use>
<dcsset:name>НастройкиПрав</dcsset:name>
<dcsset:column>
<dcsset:name>НастроенноеПраво</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>НастроенноеПраво</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemField">
<dcsset:field>ИндексПрава</dcsset:field>
<dcsset:orderType>Asc</dcsset:orderType>
</dcsset:item>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>НастроенноеПраво</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ЗначениеПрава</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:column>
<dcsset:row>
<dcsset:name>ВладелецИлиПользовательНастроек</dcsset:name>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemField">
<dcsset:field>ЭтоВладелецНастроек</dcsset:field>
<dcsset:orderType>Asc</dcsset:orderType>
</dcsset:item>
<dcsset:item xsi:type="dcsset:OrderItemField">
<dcsset:field>ВладелецИлиПользовательНастроек</dcsset:field>
<dcsset:orderType>Asc</dcsset:orderType>
</dcsset:item>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ВладелецИлиПользовательНастроек</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:use>false</dcsset:use>
<dcsset:field>ВладелецНастроек</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:use>false</dcsset:use>
<dcsset:field>ЭтоВладелецНастроек</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:conditionalAppearance>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ВладелецИлиПользовательНастроек</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ЭтоВладелецНастроек</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВладелецНастроек</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:Папка"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ВладелецИлиПользовательНастроек</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ЭтоВладелецНастроек</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВладелецНастроек</dcsset:left>
<dcsset:comparisonType>Filled</dcsset:comparisonType>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">НаследованиеНастроекВладельцем</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:НаследованиеОтключеноСПапкой"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ВладелецИлиПользовательНастроек</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ЭтоВладелецНастроек</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВладелецНастроек</dcsset:left>
<dcsset:comparisonType>Filled</dcsset:comparisonType>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">НаследованиеНастроекВладельцем</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:НаследованиеВключеноСПапкой"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
</dcsset:conditionalAppearance>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьОтбор</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
</dcsset:row>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:use>false</dcsset:use>
<dcsset:name>ЛегендаНастроекПрав</dcsset:name>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ЗаголовокПрава</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПодсказкаПрава</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:conditionalAppearance>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ЗаголовокПрава</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ЗаголовокПрава</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:НаследованиеВключено"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
</dcsset:conditionalAppearance>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>МакетОформления</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БезОформления</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:use>false</dcsset:use>
<dcsset:name>ДополнительныйЗаголовокТаблицы</dcsset:name>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>ТаблицаЗаголовок</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:item xsi:type="dcsset:StructureItemTable"/>
</dcsset:item>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>ПраваПоГруппамДоступа</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ГруппаДоступа</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ГруппаДоступа</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоПросмотр</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоРедактирование</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоИнтерактивноеДобавление</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>ВидДоступа</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ВидДоступа</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ВсеРазрешены</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ВидДоступа</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ВсеРазрешены</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>ЗначениеДоступа</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ЗначениеДоступа</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ЗначениеДоступа</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:item>
</dcsset:item>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>Легенда</dcsset:name>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>МакетОформления</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БезОформления</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>КоличествоЗаписей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">1</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>1c5a2aa3-3c3f-4b38-8f0d-1117ac248d88</dcsset:userSettingID>
<dcsset:userSettingPresentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Легенда</v8:content>
</v8:item>
</dcsset:userSettingPresentation>
</dcsset:item>
</dcsset:settings>
</settingsVariant>
<settingsVariant>
<dcsset:name>ПраваПользователейНаТаблицыОтчета</dcsset:name>
<dcsset:presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Права пользователей на таблицы отчета</v8:content>
</v8:item>
</dcsset:presentation>
<dcsset:settings xmlns:style="http://v8.1c.ru/8.1/data/ui/style" xmlns:sys="http://v8.1c.ru/8.1/data/ui/fonts/system" xmlns:web="http://v8.1c.ru/8.1/data/ui/colors/web" xmlns:win="http://v8.1c.ru/8.1/data/ui/colors/windows">
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Отчет</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Отчет</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="dcscor:Field"/>
<dcsset:viewMode>Normal</dcsset:viewMode>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:use>false</dcsset:use>
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>GreaterOrEqual</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>bb97c32b-6606-4e2f-84b8-5a3c1a36426c</dcsset:userSettingID>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:use>false</dcsset:use>
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
<dcsset:presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Скрыть пользователей с отключенным входом в приложение</v8:content>
</v8:item>
</dcsset:presentation>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>e4741d14-20fa-466f-9e8d-892ca655c087</dcsset:userSettingID>
</dcsset:item>
</dcsset:filter>
<dcsset:dataParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>Пользователь</dcscor:parameter>
<dcscor:value xsi:nil="true"/>
<dcsset:userSettingID>a5565897-a948-4c70-b4f2-343cde9a3e20</dcsset:userSettingID>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВидПользователей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">0</dcscor:value>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>b28f4d3a-c3c8-4e91-97a9-c2e588ec62a5</dcsset:userSettingID>
</dcscor:item>
</dcsset:dataParameters>
<dcsset:conditionalAppearance>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаЧтениеБезПросмотра"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаПросмотр"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаИзменениеБезПросмотраИРедактирования"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаИзменениеБезРедактирования"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоРедактированияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаРедактирование"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезПросмотраИРедактированияИСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезРедактированияИСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоРедактированияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоСозданияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаСоздание"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Filled</dcsset:comparisonType>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоНедействительногоПользователяФон</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
<dcsset:item>
<dcsset:field>Отчет</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsset:appearance>
<dcsset:useInHierarchicalGroup>DontUse</dcsset:useInHierarchicalGroup>
<dcsset:useInOverall>DontUse</dcsset:useInOverall>
<dcsset:useInFieldsHeader>DontUse</dcsset:useInFieldsHeader>
<dcsset:useInHeader>DontUse</dcsset:useInHeader>
<dcsset:useInParameters>DontUse</dcsset:useInParameters>
<dcsset:useInFilter>DontUse</dcsset:useInFilter>
<dcsset:useInResourceFieldsHeader>DontUse</dcsset:useInResourceFieldsHeader>
<dcsset:useInOverallHeader>DontUse</dcsset:useInOverallHeader>
<dcsset:useInOverallResourceFieldsHeader>DontUse</dcsset:useInOverallResourceFieldsHeader>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>МаксимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">70</dcscor:value>
</dcscor:item>
</dcsset:appearance>
<dcsset:useInGroup>DontUse</dcsset:useInGroup>
<dcsset:useInHierarchicalGroup>DontUse</dcsset:useInHierarchicalGroup>
<dcsset:useInOverall>DontUse</dcsset:useInOverall>
<dcsset:useInHeader>DontUse</dcsset:useInHeader>
<dcsset:useInParameters>DontUse</dcsset:useInParameters>
<dcsset:useInFilter>DontUse</dcsset:useInFilter>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветТекста</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ТекстЗапрещеннойЯчейкиЦвет</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
</dcsset:conditionalAppearance>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ГоризонтальноеРасположениеОбщихИтогов</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTotalPlacement">None</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВертикальноеРасположениеОбщихИтогов</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTotalPlacement">None</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьПараметрыДанных</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьОтбор</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>ОтчетЗаголовок</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>Отчет</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:item xsi:type="dcsset:StructureItemTable"/>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemTable">
<dcsset:column>
<dcsset:name>КолонкаПользователь</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>Пользователь</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:column>
<dcsset:row>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>Отчет</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:item>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:item>
</dcsset:row>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>Легенда</dcsset:name>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>МакетОформления</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БезОформления</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>КоличествоЗаписей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">1</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>d08e0721-13c6-4e63-b708-48bf0eeefeeb</dcsset:userSettingID>
<dcsset:userSettingPresentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Легенда</v8:content>
</v8:item>
</dcsset:userSettingPresentation>
</dcsset:item>
</dcsset:settings>
</settingsVariant>
<settingsVariant>
<dcsset:name>ПраваПользователяНаТаблицыОтчета</dcsset:name>
<dcsset:presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Права пользователя на таблицы отчета</v8:content>
</v8:item>
</dcsset:presentation>
<dcsset:settings xmlns:style="http://v8.1c.ru/8.1/data/ui/style" xmlns:sys="http://v8.1c.ru/8.1/data/ui/fonts/system" xmlns:web="http://v8.1c.ru/8.1/data/ui/colors/web" xmlns:win="http://v8.1c.ru/8.1/data/ui/colors/windows">
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ГруппаДоступа</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Отчет</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:viewMode>Normal</dcsset:viewMode>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:use>false</dcsset:use>
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>GreaterOrEqual</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>cfb5d8b8-61bf-438c-8847-a39255e414e6</dcsset:userSettingID>
</dcsset:item>
</dcsset:filter>
<dcsset:dataParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВидПользователей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">0</dcscor:value>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>d37172e6-092b-47a8-b287-8465fd08b0f8</dcsset:userSettingID>
</dcscor:item>
</dcsset:dataParameters>
<dcsset:conditionalAppearance>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаЧтениеБезПросмотра"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаПросмотр"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаИзменениеБезПросмотраИРедактирования"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаИзменениеБезРедактирования"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоРедактированияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаРедактирование"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезПросмотраИРедактированияИСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезРедактированияИСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоРедактированияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоСозданияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаСоздание"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Filled</dcsset:comparisonType>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоНедействительногоПользователяФон</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
<dcsset:item>
<dcsset:field>Отчет</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsset:appearance>
<dcsset:useInHierarchicalGroup>DontUse</dcsset:useInHierarchicalGroup>
<dcsset:useInOverall>DontUse</dcsset:useInOverall>
<dcsset:useInFieldsHeader>DontUse</dcsset:useInFieldsHeader>
<dcsset:useInHeader>DontUse</dcsset:useInHeader>
<dcsset:useInParameters>DontUse</dcsset:useInParameters>
<dcsset:useInFilter>DontUse</dcsset:useInFilter>
<dcsset:useInResourceFieldsHeader>DontUse</dcsset:useInResourceFieldsHeader>
<dcsset:useInOverallHeader>DontUse</dcsset:useInOverallHeader>
<dcsset:useInOverallResourceFieldsHeader>DontUse</dcsset:useInOverallResourceFieldsHeader>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ГруппаДоступа</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>МаксимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">70</dcscor:value>
</dcscor:item>
</dcsset:appearance>
<dcsset:useInGroup>DontUse</dcsset:useInGroup>
<dcsset:useInHierarchicalGroup>DontUse</dcsset:useInHierarchicalGroup>
<dcsset:useInOverall>DontUse</dcsset:useInOverall>
<dcsset:useInHeader>DontUse</dcsset:useInHeader>
<dcsset:useInParameters>DontUse</dcsset:useInParameters>
<dcsset:useInFilter>DontUse</dcsset:useInFilter>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ГруппаДоступа</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ГруппаДоступа</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветТекста</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ТекстЗапрещеннойЯчейкиЦвет</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Текст</dcscor:parameter>
<dcscor:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content><Без доступа></v8:content>
</v8:item>
</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
</dcsset:conditionalAppearance>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ГоризонтальноеРасположениеОбщихИтогов</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTotalPlacement">None</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВертикальноеРасположениеОбщихИтогов</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTotalPlacement">None</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьПараметрыДанных</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьОтбор</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>ОтчетЗаголовок</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>Отчет</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>ПользовательЗаголовок</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>Пользователь</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:item xsi:type="dcsset:StructureItemTable"/>
</dcsset:item>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemTable">
<dcsset:column>
<dcsset:name>КолонкаГруппаДоступа</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ГруппаДоступа</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ГруппаДоступа</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:column>
<dcsset:row>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>Отчет</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:item>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:item>
</dcsset:row>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>Легенда</dcsset:name>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>МакетОформления</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БезОформления</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>КоличествоЗаписей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">1</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>b1b756b2-49f5-4c58-8c2d-bfc2cc80c9d2</dcsset:userSettingID>
<dcsset:userSettingPresentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Легенда</v8:content>
</v8:item>
</dcsset:userSettingPresentation>
</dcsset:item>
</dcsset:settings>
</settingsVariant>
<settingsVariant>
<dcsset:name>ПраваПользователяНаТаблицыОтчетов</dcsset:name>
<dcsset:presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Права пользователя на таблицы отчетов</v8:content>
</v8:item>
</dcsset:presentation>
<dcsset:settings xmlns:style="http://v8.1c.ru/8.1/data/ui/style" xmlns:sys="http://v8.1c.ru/8.1/data/ui/fonts/system" xmlns:web="http://v8.1c.ru/8.1/data/ui/colors/web" xmlns:win="http://v8.1c.ru/8.1/data/ui/colors/windows">
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ГруппаДоступа</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:use>false</dcsset:use>
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>GreaterOrEqual</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>12d5529f-b584-44b3-b37e-ffa717fce6f1</dcsset:userSettingID>
</dcsset:item>
</dcsset:filter>
<dcsset:dataParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВидПользователей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">0</dcscor:value>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>d654583a-1cb6-48ac-9ef8-0428fe19d3c9</dcsset:userSettingID>
</dcscor:item>
</dcsset:dataParameters>
<dcsset:conditionalAppearance>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаЧтениеБезПросмотра"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаПросмотр"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаИзменениеБезПросмотраИРедактирования"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаИзменениеБезРедактирования"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоРедактированияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаРедактирование"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезПросмотраИРедактированияИСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезРедактированияИСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоРедактированияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоСозданияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаСоздание"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Filled</dcsset:comparisonType>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоНедействительногоПользователяФон</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
<dcsset:item>
<dcsset:field>Отчет</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsset:appearance>
<dcsset:useInHierarchicalGroup>DontUse</dcsset:useInHierarchicalGroup>
<dcsset:useInOverall>DontUse</dcsset:useInOverall>
<dcsset:useInFieldsHeader>DontUse</dcsset:useInFieldsHeader>
<dcsset:useInHeader>DontUse</dcsset:useInHeader>
<dcsset:useInParameters>DontUse</dcsset:useInParameters>
<dcsset:useInFilter>DontUse</dcsset:useInFilter>
<dcsset:useInResourceFieldsHeader>DontUse</dcsset:useInResourceFieldsHeader>
<dcsset:useInOverallHeader>DontUse</dcsset:useInOverallHeader>
<dcsset:useInOverallResourceFieldsHeader>DontUse</dcsset:useInOverallResourceFieldsHeader>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ГруппаДоступа</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>МаксимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">70</dcscor:value>
</dcscor:item>
</dcsset:appearance>
<dcsset:useInGroup>DontUse</dcsset:useInGroup>
<dcsset:useInHierarchicalGroup>DontUse</dcsset:useInHierarchicalGroup>
<dcsset:useInOverall>DontUse</dcsset:useInOverall>
<dcsset:useInHeader>DontUse</dcsset:useInHeader>
<dcsset:useInParameters>DontUse</dcsset:useInParameters>
<dcsset:useInFilter>DontUse</dcsset:useInFilter>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ГруппаДоступа</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ГруппаДоступа</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветТекста</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ТекстЗапрещеннойЯчейкиЦвет</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Текст</dcscor:parameter>
<dcscor:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content><Без доступа></v8:content>
</v8:item>
</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
</dcsset:conditionalAppearance>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ГоризонтальноеРасположениеОбщихИтогов</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTotalPlacement">None</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВертикальноеРасположениеОбщихИтогов</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTotalPlacement">None</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьПараметрыДанных</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьОтбор</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>ПользовательЗаголовок</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>Пользователь</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:item xsi:type="dcsset:StructureItemTable">
<dcsset:column>
<dcsset:name>КолонкаГруппаДоступа</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ГруппаДоступа</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ГруппаДоступа</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:column>
<dcsset:row>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>Отчет</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Отчет</dcsset:left>
<dcsset:comparisonType>Filled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьОтбор</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:item>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:item>
</dcsset:row>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
</dcsset:item>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>Легенда</dcsset:name>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>МакетОформления</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БезОформления</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>КоличествоЗаписей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">1</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>d7ffd476-3d65-411a-b844-2e3c54a01723</dcsset:userSettingID>
<dcsset:userSettingPresentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Легенда</v8:content>
</v8:item>
</dcsset:userSettingPresentation>
</dcsset:item>
</dcsset:settings>
</settingsVariant>
<settingsVariant>
<dcsset:name>ПраваПользователейНаОбъект</dcsset:name>
<dcsset:presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Права пользователей на объект</v8:content>
</v8:item>
</dcsset:presentation>
<dcsset:settings xmlns:style="http://v8.1c.ru/8.1/data/ui/style" xmlns:sys="http://v8.1c.ru/8.1/data/ui/fonts/system" xmlns:web="http://v8.1c.ru/8.1/data/ui/colors/web" xmlns:win="http://v8.1c.ru/8.1/data/ui/colors/windows">
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоПросмотр</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоРедактирование</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:use>false</dcsset:use>
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>GreaterOrEqual</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>333e101d-6632-4c33-b582-28b2863c71dc</dcsset:userSettingID>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:use>false</dcsset:use>
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
<dcsset:presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Скрыть пользователей с отключенным входом в приложение</v8:content>
</v8:item>
</dcsset:presentation>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>0c68038c-5afb-41d4-8210-50ddfee8fb65</dcsset:userSettingID>
</dcsset:item>
</dcsset:filter>
<dcsset:dataParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>Пользователь</dcscor:parameter>
<dcscor:value xsi:nil="true"/>
<dcsset:userSettingID>69d002a9-72ff-4a80-aa42-a72e9efaa842</dcsset:userSettingID>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВидПользователей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">0</dcscor:value>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>56cc2aed-3185-47d6-9681-1de850bcb26c</dcsset:userSettingID>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>ЭлементДанных</dcscor:parameter>
<dcscor:value xsi:nil="true"/>
<dcsset:userSettingID>969ec76a-f8c4-47d3-b1b1-b79022808f93</dcsset:userSettingID>
</dcscor:item>
</dcsset:dataParameters>
<dcsset:conditionalAppearance>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоПросмотр</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоЧтение</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоПросмотр</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаЧтениеБезПросмотра"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоПросмотр</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоПросмотр</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаПросмотр"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоРедактирование</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИзменение</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоРедактирование</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаИзменениеБезПросмотраИРедактирования"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоРедактирование</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоРедактирование</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоРедактированияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаРедактирование"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоПросмотр</dcsset:field>
</dcsset:item>
<dcsset:item>
<dcsset:field>ПравоРедактирование</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Filled</dcsset:comparisonType>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоНедействительногоПользователяФон</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоПросмотр</dcsset:field>
</dcsset:item>
<dcsset:item>
<dcsset:field>ПравоРедактирование</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsset:appearance>
<dcsset:useInHierarchicalGroup>DontUse</dcsset:useInHierarchicalGroup>
<dcsset:useInOverall>DontUse</dcsset:useInOverall>
<dcsset:useInFieldsHeader>DontUse</dcsset:useInFieldsHeader>
<dcsset:useInHeader>DontUse</dcsset:useInHeader>
<dcsset:useInParameters>DontUse</dcsset:useInParameters>
<dcsset:useInFilter>DontUse</dcsset:useInFilter>
<dcsset:useInResourceFieldsHeader>DontUse</dcsset:useInResourceFieldsHeader>
<dcsset:useInOverallHeader>DontUse</dcsset:useInOverallHeader>
<dcsset:useInOverallResourceFieldsHeader>DontUse</dcsset:useInOverallResourceFieldsHeader>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветТекста</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ТекстЗапрещеннойЯчейкиЦвет</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
</dcsset:conditionalAppearance>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ГоризонтальноеРасположениеОбщихИтогов</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTotalPlacement">None</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВертикальноеРасположениеОбщихИтогов</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTotalPlacement">None</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьПараметрыДанных</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьОтбор</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>ЭлементДанныхЗаголовок</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ЭлементДанных</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:item xsi:type="dcsset:StructureItemTable"/>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>ПраваПользователяНаЭлементДанных</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>Пользователь</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
</dcsset:item>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>ЛегендаПраваНаЭлементДанных</dcsset:name>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>МакетОформления</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БезОформления</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>КоличествоЗаписей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">1</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>a71bf3f1-8265-4e84-9bde-1ebd2d3c71eb</dcsset:userSettingID>
<dcsset:userSettingPresentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Легенда</v8:content>
</v8:item>
</dcsset:userSettingPresentation>
</dcsset:item>
</dcsset:settings>
</settingsVariant>
<settingsVariant>
<dcsset:name>ПраваПользователейВРазрезеРазрешенногоЗначения</dcsset:name>
<dcsset:presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Права пользователей в разрезе разрешенного значения</v8:content>
</v8:item>
</dcsset:presentation>
<dcsset:settings xmlns:style="http://v8.1c.ru/8.1/data/ui/style" xmlns:sys="http://v8.1c.ru/8.1/data/ui/fonts/system" xmlns:web="http://v8.1c.ru/8.1/data/ui/colors/web" xmlns:win="http://v8.1c.ru/8.1/data/ui/colors/windows">
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:use>false</dcsset:use>
<dcsset:left xsi:type="dcscor:Field">ГруппаДоступа</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>7cc2b376-c779-4baf-a326-1f841247466f</dcsset:userSettingID>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:use>false</dcsset:use>
<dcsset:left xsi:type="dcscor:Field">ОбъектМетаданных</dcsset:left>
<dcsset:comparisonType>InList</dcsset:comparisonType>
<dcsset:right xsi:type="v8:ValueListType">
<v8:valueType/>
<v8:lastId xsi:type="xs:decimal">-1</v8:lastId>
</dcsset:right>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>91c5e0cc-63a9-4398-b8d3-561eeecd248d</dcsset:userSettingID>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:use>false</dcsset:use>
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>GreaterOrEqual</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>39a199ad-a34a-4363-bcad-f674ea3b14c8</dcsset:userSettingID>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
<dcsset:presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Скрыть пользователей с отключенным входом в приложение</v8:content>
</v8:item>
</dcsset:presentation>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>685f8653-1edd-40d3-9129-5dbc8bab6e90</dcsset:userSettingID>
</dcsset:item>
</dcsset:filter>
<dcsset:dataParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>ВыводитьГруппировку</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">0</dcscor:value>
<dcsset:userSettingID>1f8559fb-7530-49a5-b6ca-17e56b66c70f</dcsset:userSettingID>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>Пользователь</dcscor:parameter>
<dcscor:value xsi:nil="true"/>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>f699765c-29a8-4cf9-8733-316b24f75277</dcsset:userSettingID>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>ВидПользователей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">0</dcscor:value>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>1c9ede17-956a-4268-8492-d46be7468fb8</dcsset:userSettingID>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>ЗначениеДоступа</dcscor:parameter>
<dcscor:value xsi:nil="true"/>
<dcsset:userSettingID>44da3a5a-d7d2-42c0-ac9b-f030f138e696</dcsset:userSettingID>
</dcscor:item>
</dcsset:dataParameters>
<dcsset:conditionalAppearance>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаЧтениеБезПросмотра"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаПросмотр"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаИзменениеБезПросмотраИРедактирования"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаИзменениеБезРедактирования"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоРедактированияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаРедактирование"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>NotFilled</dcsset:comparisonType>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезПросмотраИРедактированияИСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">1</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоПросмотраФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезРедактированияИСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">2</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоРедактированияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаДобавлениеБезСоздания"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ПравоИнтерактивное</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:decimal">3</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоСозданияФон</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Картинка</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Picture" ref="v8ui:УровеньДоступаСоздание"/>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Право</dcsset:left>
<dcsset:comparisonType>Filled</dcsset:comparisonType>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветФона</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ПравоНедействительногоПользователяФон</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>РазмерКартинки</dcscor:parameter>
<dcscor:value xmlns:mxl="http://v8.1c.ru/8.2/data/spreadsheet" xsi:type="mxl:PictureSize">AutoSize</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВертикальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:VerticalAlign">Center</dcscor:value>
</dcscor:item>
</dcsset:appearance>
<dcsset:useInHierarchicalGroup>DontUse</dcsset:useInHierarchicalGroup>
<dcsset:useInOverall>DontUse</dcsset:useInOverall>
<dcsset:useInFieldsHeader>DontUse</dcsset:useInFieldsHeader>
<dcsset:useInHeader>DontUse</dcsset:useInHeader>
<dcsset:useInParameters>DontUse</dcsset:useInParameters>
<dcsset:useInFilter>DontUse</dcsset:useInFilter>
<dcsset:useInResourceFieldsHeader>DontUse</dcsset:useInResourceFieldsHeader>
<dcsset:useInOverallHeader>DontUse</dcsset:useInOverallHeader>
<dcsset:useInOverallResourceFieldsHeader>DontUse</dcsset:useInOverallResourceFieldsHeader>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
<dcsset:item>
<dcsset:field>ГруппаДоступа</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>МаксимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">70</dcscor:value>
</dcscor:item>
</dcsset:appearance>
<dcsset:useInGroup>DontUse</dcsset:useInGroup>
<dcsset:useInHierarchicalGroup>DontUse</dcsset:useInHierarchicalGroup>
<dcsset:useInOverall>DontUse</dcsset:useInOverall>
<dcsset:useInHeader>DontUse</dcsset:useInHeader>
<dcsset:useInParameters>DontUse</dcsset:useInParameters>
<dcsset:useInFilter>DontUse</dcsset:useInFilter>
</dcsset:item>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ВходВПрограммуРазрешен</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветТекста</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ТекстЗапрещеннойЯчейкиЦвет</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
</dcsset:conditionalAppearance>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ГоризонтальноеРасположениеОбщихИтогов</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTotalPlacement">None</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВертикальноеРасположениеОбщихИтогов</dcscor:parameter>
<dcscor:value xsi:type="dcscor:DataCompositionTotalPlacement">None</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьПараметрыДанных</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьОтбор</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>ОткрытДоступКЗначениюЗаголовок</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ВидДоступа</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ЗначениеДоступа</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:item xsi:type="dcsset:StructureItemTable"/>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemTable">
<dcsset:name>ТаблицыСПравамиПользователей</dcsset:name>
<dcsset:column>
<dcsset:name>КолонкаПользователь</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>Пользователь</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:column>
<dcsset:row>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:row>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:use>false</dcsset:use>
<dcsset:name>Пользователи</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>Пользователь</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:use>false</dcsset:use>
<dcsset:name>ПользователиСГруппамиДоступа</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>Пользователь</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ГруппаДоступа</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ГруппаДоступа</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:item>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:use>false</dcsset:use>
<dcsset:name>ГруппыДоступаСПользователями</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ГруппаДоступа</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ГруппаДоступа</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>Пользователь</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Пользователь</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:item>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:use>false</dcsset:use>
<dcsset:name>ГруппыДоступа</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ГруппаДоступа</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ГруппаДоступа</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemTable">
<dcsset:use>false</dcsset:use>
<dcsset:name>ТаблицыСПравамиГруппДоступа</dcsset:name>
<dcsset:column>
<dcsset:name>КолонкаГруппаДоступа</dcsset:name>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ГруппаДоступа</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ГруппаДоступа</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПравоИнтерактивное</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:column>
<dcsset:row>
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ОбъектМетаданных</dcsset:field>
</dcsset:item>
</dcsset:selection>
</dcsset:row>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>Легенда</dcsset:name>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>МакетОформления</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БезОформления</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>КоличествоЗаписей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">1</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>e4be2439-ab50-42a3-9b87-3e3d99c93c59</dcsset:userSettingID>
<dcsset:userSettingPresentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Легенда</v8:content>
</v8:item>
</dcsset:userSettingPresentation>
</dcsset:item>
</dcsset:settings>
</settingsVariant>
</DataCompositionSchema> | 438,600 | Template | xml | ru | xml | data | {"qsc_code_num_words": 45889, "qsc_code_num_chars": 438600.0, "qsc_code_mean_word_length": 6.5449672, "qsc_code_frac_words_unique": 0.01497091, "qsc_code_frac_chars_top_2grams": 0.057894, "qsc_code_frac_chars_top_3grams": 0.05305951, "qsc_code_frac_chars_top_4grams": 0.06916782, "qsc_code_frac_chars_dupe_5grams": 0.95709891, "qsc_code_frac_chars_dupe_6grams": 0.95224777, "qsc_code_frac_chars_dupe_7grams": 0.94932111, "qsc_code_frac_chars_dupe_8grams": 0.94508926, "qsc_code_frac_chars_dupe_9grams": 0.94297168, "qsc_code_frac_chars_dupe_10grams": 0.94056775, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01728374, "qsc_code_frac_chars_whitespace": 0.16115367, "qsc_code_size_file_byte": 438600.0, "qsc_code_num_lines": 10939.0, "qsc_code_num_chars_line_max": 461.0, "qsc_code_num_chars_line_mean": 40.09507268, "qsc_code_frac_chars_alphabet": 0.79904218, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 1.0, "qsc_code_frac_lines_dupe_lines": 0.96114819, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.00694762, "qsc_code_frac_chars_string_length": 0.13072731, "qsc_code_frac_chars_long_word_length": 0.06092111, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 1, "qsc_code_frac_chars_dupe_6grams": 1, "qsc_code_frac_chars_dupe_7grams": 1, "qsc_code_frac_chars_dupe_8grams": 1, "qsc_code_frac_chars_dupe_9grams": 1, "qsc_code_frac_chars_dupe_10grams": 1, "qsc_code_frac_lines_dupe_lines": 1, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 1, "qsc_code_cate_autogen": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0} |
1y0n/AV_Evasion_Tool | 掩日2.0/AboutBox1.Designer.cs | namespace 掩日2._0
{
partial class AboutBox1
{
/// <summary>
/// 必需的设计器变量。
/// </summary>
private System.ComponentModel.IContainer components = null;
/// <summary>
/// 清理所有正在使用的资源。
/// </summary>
protected override void Dispose(bool disposing)
{
if (disposing && (components != null))
{
components.Dispose();
}
base.Dispose(disposing);
}
#region Windows 窗体设计器生成的代码
/// <summary>
/// 设计器支持所需的方法 - 不要修改
/// 使用代码编辑器修改此方法的内容。
/// </summary>
private void InitializeComponent()
{
System.ComponentModel.ComponentResourceManager resources = new System.ComponentModel.ComponentResourceManager(typeof(AboutBox1));
this.tableLayoutPanel = new System.Windows.Forms.TableLayoutPanel();
this.logoPictureBox = new System.Windows.Forms.PictureBox();
this.labelProductName = new System.Windows.Forms.Label();
this.labelVersion = new System.Windows.Forms.Label();
this.labelCopyright = new System.Windows.Forms.Label();
this.labelCompanyName = new System.Windows.Forms.Label();
this.textBoxDescription = new System.Windows.Forms.TextBox();
this.okButton = new System.Windows.Forms.Button();
this.backgroundWorker1 = new System.ComponentModel.BackgroundWorker();
this.tableLayoutPanel.SuspendLayout();
((System.ComponentModel.ISupportInitialize)(this.logoPictureBox)).BeginInit();
this.SuspendLayout();
//
// tableLayoutPanel
//
this.tableLayoutPanel.ColumnCount = 2;
this.tableLayoutPanel.ColumnStyles.Add(new System.Windows.Forms.ColumnStyle(System.Windows.Forms.SizeType.Percent, 33F));
this.tableLayoutPanel.ColumnStyles.Add(new System.Windows.Forms.ColumnStyle(System.Windows.Forms.SizeType.Percent, 67F));
this.tableLayoutPanel.Controls.Add(this.logoPictureBox, 0, 0);
this.tableLayoutPanel.Controls.Add(this.labelProductName, 1, 0);
this.tableLayoutPanel.Controls.Add(this.labelVersion, 1, 1);
this.tableLayoutPanel.Controls.Add(this.labelCopyright, 1, 2);
this.tableLayoutPanel.Controls.Add(this.labelCompanyName, 1, 3);
this.tableLayoutPanel.Controls.Add(this.textBoxDescription, 1, 4);
this.tableLayoutPanel.Controls.Add(this.okButton, 1, 5);
this.tableLayoutPanel.Dock = System.Windows.Forms.DockStyle.Fill;
this.tableLayoutPanel.Location = new System.Drawing.Point(9, 8);
this.tableLayoutPanel.Margin = new System.Windows.Forms.Padding(3, 2, 3, 2);
this.tableLayoutPanel.Name = "tableLayoutPanel";
this.tableLayoutPanel.RowCount = 6;
this.tableLayoutPanel.RowStyles.Add(new System.Windows.Forms.RowStyle(System.Windows.Forms.SizeType.Percent, 10F));
this.tableLayoutPanel.RowStyles.Add(new System.Windows.Forms.RowStyle(System.Windows.Forms.SizeType.Percent, 10F));
this.tableLayoutPanel.RowStyles.Add(new System.Windows.Forms.RowStyle(System.Windows.Forms.SizeType.Percent, 10F));
this.tableLayoutPanel.RowStyles.Add(new System.Windows.Forms.RowStyle(System.Windows.Forms.SizeType.Percent, 10F));
this.tableLayoutPanel.RowStyles.Add(new System.Windows.Forms.RowStyle(System.Windows.Forms.SizeType.Percent, 50F));
this.tableLayoutPanel.RowStyles.Add(new System.Windows.Forms.RowStyle(System.Windows.Forms.SizeType.Percent, 10F));
this.tableLayoutPanel.Size = new System.Drawing.Size(417, 246);
this.tableLayoutPanel.TabIndex = 0;
//
// logoPictureBox
//
this.logoPictureBox.Dock = System.Windows.Forms.DockStyle.Fill;
this.logoPictureBox.Image = ((System.Drawing.Image)(resources.GetObject("logoPictureBox.Image")));
this.logoPictureBox.Location = new System.Drawing.Point(3, 2);
this.logoPictureBox.Margin = new System.Windows.Forms.Padding(3, 2, 3, 2);
this.logoPictureBox.Name = "logoPictureBox";
this.tableLayoutPanel.SetRowSpan(this.logoPictureBox, 6);
this.logoPictureBox.Size = new System.Drawing.Size(131, 242);
this.logoPictureBox.SizeMode = System.Windows.Forms.PictureBoxSizeMode.StretchImage;
this.logoPictureBox.TabIndex = 12;
this.logoPictureBox.TabStop = false;
//
// labelProductName
//
this.labelProductName.Dock = System.Windows.Forms.DockStyle.Fill;
this.labelProductName.Location = new System.Drawing.Point(143, 0);
this.labelProductName.Margin = new System.Windows.Forms.Padding(6, 0, 3, 0);
this.labelProductName.MaximumSize = new System.Drawing.Size(0, 16);
this.labelProductName.Name = "labelProductName";
this.labelProductName.Size = new System.Drawing.Size(271, 16);
this.labelProductName.TabIndex = 19;
this.labelProductName.Text = "产品名称";
this.labelProductName.TextAlign = System.Drawing.ContentAlignment.MiddleLeft;
//
// labelVersion
//
this.labelVersion.Dock = System.Windows.Forms.DockStyle.Fill;
this.labelVersion.Location = new System.Drawing.Point(143, 24);
this.labelVersion.Margin = new System.Windows.Forms.Padding(6, 0, 3, 0);
this.labelVersion.MaximumSize = new System.Drawing.Size(0, 16);
this.labelVersion.Name = "labelVersion";
this.labelVersion.Size = new System.Drawing.Size(271, 16);
this.labelVersion.TabIndex = 0;
this.labelVersion.Text = "版本";
this.labelVersion.TextAlign = System.Drawing.ContentAlignment.MiddleLeft;
//
// labelCopyright
//
this.labelCopyright.Dock = System.Windows.Forms.DockStyle.Fill;
this.labelCopyright.Location = new System.Drawing.Point(143, 48);
this.labelCopyright.Margin = new System.Windows.Forms.Padding(6, 0, 3, 0);
this.labelCopyright.MaximumSize = new System.Drawing.Size(0, 16);
this.labelCopyright.Name = "labelCopyright";
this.labelCopyright.Size = new System.Drawing.Size(271, 16);
this.labelCopyright.TabIndex = 21;
this.labelCopyright.Text = "版权";
this.labelCopyright.TextAlign = System.Drawing.ContentAlignment.MiddleLeft;
//
// labelCompanyName
//
this.labelCompanyName.Dock = System.Windows.Forms.DockStyle.Fill;
this.labelCompanyName.Location = new System.Drawing.Point(143, 72);
this.labelCompanyName.Margin = new System.Windows.Forms.Padding(6, 0, 3, 0);
this.labelCompanyName.MaximumSize = new System.Drawing.Size(0, 16);
this.labelCompanyName.Name = "labelCompanyName";
this.labelCompanyName.Size = new System.Drawing.Size(271, 16);
this.labelCompanyName.TabIndex = 22;
this.labelCompanyName.Text = "公司名称";
this.labelCompanyName.TextAlign = System.Drawing.ContentAlignment.MiddleLeft;
//
// textBoxDescription
//
this.textBoxDescription.Dock = System.Windows.Forms.DockStyle.Fill;
this.textBoxDescription.Location = new System.Drawing.Point(143, 98);
this.textBoxDescription.Margin = new System.Windows.Forms.Padding(6, 2, 3, 2);
this.textBoxDescription.Multiline = true;
this.textBoxDescription.Name = "textBoxDescription";
this.textBoxDescription.ReadOnly = true;
this.textBoxDescription.ScrollBars = System.Windows.Forms.ScrollBars.Both;
this.textBoxDescription.Size = new System.Drawing.Size(271, 119);
this.textBoxDescription.TabIndex = 23;
this.textBoxDescription.TabStop = false;
this.textBoxDescription.Text = "说明";
//
// okButton
//
this.okButton.Anchor = ((System.Windows.Forms.AnchorStyles)((System.Windows.Forms.AnchorStyles.Bottom | System.Windows.Forms.AnchorStyles.Right)));
this.okButton.DialogResult = System.Windows.Forms.DialogResult.Cancel;
this.okButton.Location = new System.Drawing.Point(339, 222);
this.okButton.Margin = new System.Windows.Forms.Padding(3, 2, 3, 2);
this.okButton.Name = "okButton";
this.okButton.Size = new System.Drawing.Size(75, 22);
this.okButton.TabIndex = 24;
this.okButton.Text = "确定(&O)";
this.okButton.Click += new System.EventHandler(this.okButton_Click);
//
// AboutBox1
//
this.AcceptButton = this.okButton;
this.AutoScaleDimensions = new System.Drawing.SizeF(6F, 12F);
this.AutoScaleMode = System.Windows.Forms.AutoScaleMode.Font;
this.ClientSize = new System.Drawing.Size(435, 262);
this.Controls.Add(this.tableLayoutPanel);
this.FormBorderStyle = System.Windows.Forms.FormBorderStyle.FixedDialog;
this.Margin = new System.Windows.Forms.Padding(3, 2, 3, 2);
this.MaximizeBox = false;
this.MinimizeBox = false;
this.Name = "AboutBox1";
this.Padding = new System.Windows.Forms.Padding(9, 8, 9, 8);
this.ShowIcon = false;
this.ShowInTaskbar = false;
this.StartPosition = System.Windows.Forms.FormStartPosition.CenterParent;
this.Text = "AboutBox1";
this.tableLayoutPanel.ResumeLayout(false);
this.tableLayoutPanel.PerformLayout();
((System.ComponentModel.ISupportInitialize)(this.logoPictureBox)).EndInit();
this.ResumeLayout(false);
}
#endregion
private System.Windows.Forms.TableLayoutPanel tableLayoutPanel;
private System.Windows.Forms.PictureBox logoPictureBox;
private System.Windows.Forms.Label labelProductName;
private System.Windows.Forms.Label labelVersion;
private System.Windows.Forms.Label labelCopyright;
private System.Windows.Forms.Label labelCompanyName;
private System.Windows.Forms.TextBox textBoxDescription;
private System.Windows.Forms.Button okButton;
private System.ComponentModel.BackgroundWorker backgroundWorker1;
}
}
| 10,686 | AboutBox1.Designer | cs | zh | csharp | code | {"qsc_code_num_words": 1038, "qsc_code_num_chars": 10686.0, "qsc_code_mean_word_length": 6.59248555, "qsc_code_frac_words_unique": 0.1734104, "qsc_code_frac_chars_top_2grams": 0.11018559, "qsc_code_frac_chars_top_3grams": 0.15256466, "qsc_code_frac_chars_top_4grams": 0.07978957, "qsc_code_frac_chars_dupe_5grams": 0.42262166, "qsc_code_frac_chars_dupe_6grams": 0.30775975, "qsc_code_frac_chars_dupe_7grams": 0.25237469, "qsc_code_frac_chars_dupe_8grams": 0.20736519, "qsc_code_frac_chars_dupe_9grams": 0.16586293, "qsc_code_frac_chars_dupe_10grams": 0.16586293, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02407384, "qsc_code_frac_chars_whitespace": 0.24976605, "qsc_code_size_file_byte": 10686.0, "qsc_code_num_lines": 193.0, "qsc_code_num_chars_line_max": 160.0, "qsc_code_num_chars_line_mean": 55.36787565, "qsc_code_frac_chars_alphabet": 0.8293626, "qsc_code_frac_chars_comments": 0.03668351, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.03333333, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.01671039, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codecsharp_frac_lines_func_ratio": 0.01333333, "qsc_codecsharp_cate_var_zero": 0.0, "qsc_codecsharp_score_lines_no_logic": 0.02, "qsc_codecsharp_frac_lines_print": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecsharp_frac_lines_func_ratio": 0, "qsc_codecsharp_cate_var_zero": 0, "qsc_codecsharp_score_lines_no_logic": 0, "qsc_codecsharp_frac_lines_print": 0} |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/templates/demo/table/params.html | <!DOCTYPE html>
<html lang="zh" xmlns:th="http://www.thymeleaf.org" xmlns:shiro="http://www.pollix.at/thymeleaf/shiro">
<head>
<th:block th:include="include :: header('自定义查询参数')" />
</head>
<body class="gray-bg">
<div class="container-div">
<div class="row">
<div class="col-sm-12 select-table table-striped">
<p class="select-title">通过queryParams方法设置</p>
<table id="bootstrap-table"></table>
</div>
<div class="col-sm-12 search-collapse">
<form id="post-form">
<div class="select-list">
<ul>
<li>
用户姓名：<input type="text" name="userName" value="测试6"/>
</li>
</ul>
</div>
</form>
</div>
<div class="col-sm-12 select-table table-striped">
<p class="select-title">通过form自动填充</p>
<table id="bootstrap-table-form"></table>
</div>
</div>
</div>
<div th:include="include :: footer"></div>
<script th:inline="javascript">
var prefix = ctx + "demo/table";
var datas = [[${@dict.getType('sys_normal_disable')}]];
$(function() {
var options = {
url: prefix + "/list",
showSearch: false,
showRefresh: false,
showToggle: false,
showColumns: false,
queryParams: queryParams,
columns: [{
checkbox: true
},
{
field : 'userId',
title : '用户ID'
},
{
field : 'userCode',
title : '用户编号'
},
{
field : 'userName',
title : '用户姓名'
},
{
field : 'userPhone',
title : '用户手机'
},
{
field : 'userEmail',
title : '用户邮箱'
},
{
field : 'userBalance',
title : '用户余额'
},
{
field: 'status',
title: '用户状态',
align: 'center',
formatter: function(value, row, index) {
return $.table.selectDictLabel(datas, value);
}
},
{
title: '操作',
align: 'center',
formatter: function(value, row, index) {
var actions = [];
actions.push('<a class="btn btn-success btn-xs" href="#"><i class="fa fa-edit"></i>编辑</a> ');
actions.push('<a class="btn btn-danger btn-xs" href="#"><i class="fa fa-remove"></i>删除</a>');
return actions.join('');
}
}]
};
$.table.init(options);
});
function queryParams(params) {
var search = $.table.queryParams(params);
search.userName = '测试1';
return search;
}
$(function() {
var options = {
id: "bootstrap-table-form",
url: prefix + "/list",
showSearch: false,
showRefresh: false,
showToggle: false,
showColumns: false,
columns: [{
checkbox: true
},
{
field : 'userId',
title : '用户ID'
},
{
field : 'userCode',
title : '用户编号'
},
{
field : 'userName',
title : '用户姓名'
},
{
field : 'userPhone',
title : '用户手机'
},
{
field : 'userEmail',
title : '用户邮箱'
},
{
field : 'userBalance',
title : '用户余额'
},
{
field: 'status',
title: '用户状态',
align: 'center',
formatter: function(value, row, index) {
return $.table.selectDictLabel(datas, value);
}
},
{
title: '操作',
align: 'center',
formatter: function(value, row, index) {
var actions = [];
actions.push('<a class="btn btn-success btn-xs" href="#"><i class="fa fa-edit"></i>编辑</a> ');
actions.push('<a class="btn btn-danger btn-xs" href="#"><i class="fa fa-remove"></i>删除</a>');
return actions.join('');
}
}]
};
$.table.init(options);
});
</script>
</body>
</html> | 4,191 | params | html | en | html | code | {"qsc_code_num_words": 378, "qsc_code_num_chars": 4191.0, "qsc_code_mean_word_length": 4.88888889, "qsc_code_frac_words_unique": 0.30687831, "qsc_code_frac_chars_top_2grams": 0.02597403, "qsc_code_frac_chars_top_3grams": 0.04329004, "qsc_code_frac_chars_top_4grams": 0.06060606, "qsc_code_frac_chars_dupe_5grams": 0.67045455, "qsc_code_frac_chars_dupe_6grams": 0.64664502, "qsc_code_frac_chars_dupe_7grams": 0.63528139, "qsc_code_frac_chars_dupe_8grams": 0.63528139, "qsc_code_frac_chars_dupe_9grams": 0.63528139, "qsc_code_frac_chars_dupe_10grams": 0.63528139, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00316081, "qsc_code_frac_chars_whitespace": 0.39608685, "qsc_code_size_file_byte": 4191.0, "qsc_code_num_lines": 158.0, "qsc_code_num_chars_line_max": 118.0, "qsc_code_num_chars_line_mean": 26.52531646, "qsc_code_frac_chars_alphabet": 0.72698538, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.53594771, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.02614379, "qsc_code_frac_chars_string_length": 0.21326336, "qsc_code_frac_chars_long_word_length": 0.01001908, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codehtml_cate_ast": 1.0, "qsc_codehtml_frac_words_text": 0.01717967, "qsc_codehtml_num_chars_text": 72.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 1, "qsc_code_frac_chars_dupe_6grams": 1, "qsc_code_frac_chars_dupe_7grams": 1, "qsc_code_frac_chars_dupe_8grams": 1, "qsc_code_frac_chars_dupe_9grams": 1, "qsc_code_frac_chars_dupe_10grams": 1, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_codehtml_cate_ast": 0, "qsc_codehtml_frac_words_text": 1, "qsc_codehtml_num_chars_text": 1} |
1x-technologies/halodi-unity-package-registry-manager | Editor/Halodi/PackageRegistry/NPM/WebExceptionParser.cs | using System.Net;
namespace Halodi.PackageRegistry.NPM
{
public class WebExceptionParser
{
public static string ParseWebException(WebException e)
{
if (e.Status == WebExceptionStatus.ProtocolError)
{
HttpWebResponse response = (HttpWebResponse)e.Response;
switch (response.StatusCode)
{
case HttpStatusCode.Unauthorized:
return response.StatusCode + ": Invalid credentials.";
case HttpStatusCode.BadRequest:
case HttpStatusCode.Conflict:
return response.StatusCode + ": Check if version already exists on server.";
default:
return response.StatusCode + ": Unknown error. Try again.";
}
}
else
{
if (e.InnerException != null)
{
return e.InnerException.Message;
}
else
{
return e.Message;
}
}
}
}
} | 1,162 | WebExceptionParser | cs | en | csharp | code | {"qsc_code_num_words": 74, "qsc_code_num_chars": 1162.0, "qsc_code_mean_word_length": 7.32432432, "qsc_code_frac_words_unique": 0.62162162, "qsc_code_frac_chars_top_2grams": 0.13284133, "qsc_code_frac_chars_top_3grams": 0.13284133, "qsc_code_frac_chars_top_4grams": 0.0, "qsc_code_frac_chars_dupe_5grams": 0.0, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.0, "qsc_code_frac_chars_whitespace": 0.46901893, "qsc_code_size_file_byte": 1162.0, "qsc_code_num_lines": 41.0, "qsc_code_num_chars_line_max": 101.0, "qsc_code_num_chars_line_mean": 28.34146341, "qsc_code_frac_chars_alphabet": 0.87844408, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.05714286, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.07996561, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codecsharp_frac_lines_func_ratio": 0.02857143, "qsc_codecsharp_cate_var_zero": 0.0, "qsc_codecsharp_score_lines_no_logic": 0.22857143, "qsc_codecsharp_frac_lines_print": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecsharp_frac_lines_func_ratio": 0, "qsc_codecsharp_cate_var_zero": 0, "qsc_codecsharp_score_lines_no_logic": 0, "qsc_codecsharp_frac_lines_print": 0} |
1xyz/pryrite | executors/read_writer_proxy.go | package executor
import (
"io"
"regexp"
"sync"
"time"
"github.com/1xyz/pryrite/tools"
)
type readWriterProxy struct {
name string
markerRE *regexp.Regexp
markerFound func(string)
writer io.WriteCloser
wlock sync.Mutex
lastWrite time.Time
}
func (proxy *readWriterProxy) Monitor(output io.Reader) {
go func() {
buf := make([]byte, 65536)
for {
n, err := output.Read(buf)
if err == io.EOF {
break
}
if err != nil {
tools.Log.Err(err).Str("name", proxy.name).Msg("Unable to read monitored output")
break
}
if n > 0 {
_, err = proxy.Write(buf[0:n])
if err != nil {
tools.Log.Err(err).Str("name", proxy.name).Str("data", string(buf[0:n])).
Msg("Unable to write monitored output")
}
}
}
}()
}
func (proxy *readWriterProxy) SetWriter(writer io.WriteCloser) {
proxy.SetWriterMarker(writer, nil, nil)
}
func (proxy *readWriterProxy) SetWriterMarker(writer io.WriteCloser, markerRE *regexp.Regexp, markerFound func(string)) {
proxy.wlock.Lock()
wtr := proxy.writer
lastWrite := proxy.lastWrite
proxy.wlock.Unlock()
if writer == nil && wtr != nil {
// block (UNLOCKED!) to make sure the upstream writer has all the bytes before we
// let the execute complete
if time.Since(lastWrite) > time.Second {
time.Sleep(100 * time.Millisecond)
}
err := wtr.Close()
if err != nil {
tools.Log.Err(err).Str("proxy", proxy.name).Msg("writer close failed")
}
proxy.wlock.Lock()
proxy.lastWrite = time.Unix(0, 0)
} else {
proxy.wlock.Lock()
}
proxy.markerRE = markerRE
proxy.markerFound = markerFound
proxy.writer = writer
proxy.wlock.Unlock()
}
func (proxy *readWriterProxy) Write(data []byte) (int, error) {
proxy.wlock.Lock()
defer proxy.wlock.Unlock()
origLen := len(data) // need to respond with the original length for success
// always look for markers, even if no writer was assigned
if proxy.markerRE != nil {
var found []byte
data = proxy.markerRE.ReplaceAllFunc(data, func(match []byte) []byte {
if found != nil {
// only replace the first one found, but this is weird, so warn
tools.Log.Warn().Str("found", string(found)).Str("match", string(match)).
Str("regexp", proxy.markerRE.String()).Msg("Found more than one match")
return match
}
found = match
return nil
})
if found != nil {
// give the caller time to finish before we record "done"
go func() {
time.Sleep(10 * time.Millisecond)
proxy.markerFound(string(found))
}()
}
}
if proxy.writer == nil {
tools.Log.Error().Str("proxy", proxy.name).Str("data", string(data)).
Msg("asked to write without a writer assigned")
// lie to caller about the success of the write to avoid killing our repl
return origLen, nil
}
_, err := proxy.writer.Write(data)
proxy.lastWrite = time.Now()
return origLen, err
}
| 2,854 | read_writer_proxy | go | en | go | code | {"qsc_code_num_words": 392, "qsc_code_num_chars": 2854.0, "qsc_code_mean_word_length": 4.80867347, "qsc_code_frac_words_unique": 0.33163265, "qsc_code_frac_chars_top_2grams": 0.03713528, "qsc_code_frac_chars_top_3grams": 0.05092838, "qsc_code_frac_chars_top_4grams": 0.02068966, "qsc_code_frac_chars_dupe_5grams": 0.11564987, "qsc_code_frac_chars_dupe_6grams": 0.09708223, "qsc_code_frac_chars_dupe_7grams": 0.0535809, "qsc_code_frac_chars_dupe_8grams": 0.0535809, "qsc_code_frac_chars_dupe_9grams": 0.0403183, "qsc_code_frac_chars_dupe_10grams": 0.0403183, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.0069869, "qsc_code_frac_chars_whitespace": 0.19761738, "qsc_code_size_file_byte": 2854.0, "qsc_code_num_lines": 122.0, "qsc_code_num_chars_line_max": 122.0, "qsc_code_num_chars_line_mean": 23.39344262, "qsc_code_frac_chars_alphabet": 0.81615721, "qsc_code_frac_chars_comments": 0.14505957, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.17894737, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.09590164, "qsc_code_frac_chars_long_word_length": 0.01188525, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codego_cate_testfile": 0.0, "qsc_codego_frac_lines_func_ratio": 0.04210526, "qsc_codego_cate_var_zero": 0.0, "qsc_codego_score_lines_no_logic": 0.10526316, "qsc_codego_frac_lines_print": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_codego_cate_testfile": 0, "qsc_codego_frac_lines_func_ratio": 0, "qsc_codego_cate_var_zero": 0, "qsc_codego_score_lines_no_logic": 0, "qsc_codego_frac_lines_print": 0} |
1xyz/coolbeans | Contributing.md | Contributing
============
Coolbeans is currently at `alpha` release quality. It is all about improving the quality by adoption and testing.
By participating in this project you agree to abide by the [code of conduct](https://www.contributor-covenant.org/version/2/0/code_of_conduct/).
- [Building coolbeans](#building-coolbeans)
- [Dependencies](#dependencies)
- [Build the binary](#build-the-binary)
- [Run the service](#run-the-service)
- [Other run options](#other-run-options)
- [Testing](#testing)
- [Setup a beanstalkd client to test manually](#manual-test)
- [Unit Tests](#unit-tests)
- [End to end Tests](#run-end-to-end-tests)
- [Other](#other)
Building coolbeans
------------------
This section walks through the process of building the source and running coolbeans.
### Dependencies
* [Install golang v1.13+](https://golang.org/dl/)
- Coolbeans is written in golang, it requires go version 1.13 or newer. I prefer to use [go version manager](https://github.com/moovweb/gvm) to manage multiple go versions.
- Ensure `$GOPATH/bin` is added to your path.
* [Install Docker](https://docs.docker.com/get-docker/)
- A [Dockerfile](../Dockerfile) is provided.
* [Install Protocol Buffer Compiler (protoc) & the Go plugin (protoc-gen-go)](https://grpc.io/docs/quickstart/go/#protocol-buffers)
- The project depends on protocol buffers and uses the Grpc library.
- Ensure you have `protoc` & `protoc-gen-go` installed and accessible in your paths.
### Build the binary.
The [Makefile](./Makefile) provides different target options to build and run from source.
To explore these options, run `make` which shows all possible targets:
make
For example: To generate a statically linked binary for the local operating-system.
make build
### Run the service
Coolbeans typically runs as a two processes, refer the [design](doc/Design.md) for more detail.
Run a single node cluster. Note this creates two processes, a cluster-node process and beanstalkd proxy:
make run-single
Run a three node cluster. Note this spawns four processes, three cluster-node processes and beanstalkd proxy.:
make run-cluster
### Other Run options
Run a single process beanstalkd (no replication via Raft, the entire queue is in memory):
make run-beanstalkd
Run a three node cluster via docker-compose. Run this prior to running docker-compose-up
make docker-compose-build
make docker-compose-up
Once done:
make docker-compose-down
Testing
-------
### Manual test
Download and run a beanstalk client from [here](https://github.com/beanstalkd/beanstalkd/wiki/Tools).
Some client I tested with:
- [Aurora](https://github.com/xuri/aurora/releases/tag/2.2)
- [yabean](https://github.com/1xyz/yabean)
### Unit Tests
Run unit-tests
make test
Explore other test options by running `make`
### Run end to end tests
Run an end to end test scenarios against a running cluster.
make test-e2e
Other
-----
- Reporting an issue, please refer [here](https://github.com/1xyz/coolbeans/issues/new/choose)
- Guidelines for a good commit message. please refer [here](https://golang.org/doc/contribute.html#commit_messages)
| 3,222 | Contributing | md | en | markdown | text | {"qsc_doc_frac_chars_curly_bracket": 0.0, "qsc_doc_frac_words_redpajama_stop": 0.18461538, "qsc_doc_num_sentences": 41.0, "qsc_doc_num_words": 469, "qsc_doc_num_chars": 3222.0, "qsc_doc_num_lines": 115.0, "qsc_doc_mean_word_length": 4.95095949, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with_readmore": 0.0, "qsc_doc_frac_lines_start_with_bullet": 0.0, "qsc_doc_frac_words_unique": 0.41577825, "qsc_doc_entropy_unigram": 4.8588297, "qsc_doc_frac_words_all_caps": 0.00559441, "qsc_doc_frac_lines_dupe_lines": 0.0, "qsc_doc_frac_chars_dupe_lines": 0.0, "qsc_doc_frac_chars_top_2grams": 0.02368648, "qsc_doc_frac_chars_top_3grams": 0.03014643, "qsc_doc_frac_chars_top_4grams": 0.01679587, "qsc_doc_frac_chars_dupe_5grams": 0.05943152, "qsc_doc_frac_chars_dupe_6grams": 0.0, "qsc_doc_frac_chars_dupe_7grams": 0.0, "qsc_doc_frac_chars_dupe_8grams": 0.0, "qsc_doc_frac_chars_dupe_9grams": 0.0, "qsc_doc_frac_chars_dupe_10grams": 0.0, "qsc_doc_frac_chars_replacement_symbols": 0.0, "qsc_doc_cate_code_related_file_name": 0.0, "qsc_doc_num_chars_sentence_length_mean": 19.52866242, "qsc_doc_frac_chars_hyperlink_html_tag": 0.14183737, "qsc_doc_frac_chars_alphabet": 0.8567718, "qsc_doc_frac_chars_digital": 0.00482375, "qsc_doc_frac_chars_whitespace": 0.163563, "qsc_doc_frac_chars_hex_words": 0.0} | 1 | {"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_8grams": 0, "qsc_doc_frac_chars_dupe_9grams": 0, "qsc_doc_frac_chars_dupe_10grams": 0, "qsc_doc_frac_chars_dupe_lines": 0, "qsc_doc_frac_lines_dupe_lines": 0, "qsc_doc_frac_lines_end_with_readmore": 0, "qsc_doc_frac_lines_start_with_bullet": 0, "qsc_doc_frac_words_all_caps": 0, "qsc_doc_mean_word_length": 0, "qsc_doc_num_chars": 0, "qsc_doc_num_lines": 0, "qsc_doc_num_sentences": 0, "qsc_doc_num_words": 0, "qsc_doc_frac_chars_hex_words": 0, "qsc_doc_frac_chars_hyperlink_html_tag": 0, "qsc_doc_frac_chars_alphabet": 0, "qsc_doc_frac_chars_digital": 0, "qsc_doc_frac_chars_whitespace": 0} |
1c-syntax/ssl_3_1 | src/cf/Reports/АнализПравДоступа/Forms/ВыборСтрокиРегистра/Ext/Form.xml | <?xml version="1.0" encoding="UTF-8"?>
<Form xmlns="http://v8.1c.ru/8.3/xcf/logform" xmlns:app="http://v8.1c.ru/8.2/managed-application/core" xmlns:cfg="http://v8.1c.ru/8.1/data/enterprise/current-config" xmlns:dcscor="http://v8.1c.ru/8.1/data-composition-system/core" xmlns:dcssch="http://v8.1c.ru/8.1/data-composition-system/schema" xmlns:dcsset="http://v8.1c.ru/8.1/data-composition-system/settings" xmlns:ent="http://v8.1c.ru/8.1/data/enterprise" xmlns:lf="http://v8.1c.ru/8.2/managed-application/logform" xmlns:style="http://v8.1c.ru/8.1/data/ui/style" xmlns:sys="http://v8.1c.ru/8.1/data/ui/fonts/system" xmlns:v8="http://v8.1c.ru/8.1/data/core" xmlns:v8ui="http://v8.1c.ru/8.1/data/ui" xmlns:web="http://v8.1c.ru/8.1/data/ui/colors/web" xmlns:win="http://v8.1c.ru/8.1/data/ui/colors/windows" xmlns:xr="http://v8.1c.ru/8.3/xcf/readable" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="2.18">
<WindowOpeningMode>LockOwnerWindow</WindowOpeningMode>
<SaveWindowSettings>false</SaveWindowSettings>
<AutoCommandBar name="ФормаКоманднаяПанель" id="-1">
<Autofill>false</Autofill>
</AutoCommandBar>
<Events>
<Event name="OnCreateAtServer">ПриСозданииНаСервере</Event>
</Events>
<ChildItems>
<UsualGroup name="ГруппаПользовательскихНастроек" id="25">
<Title>
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Группа пользовательских настроек</v8:content>
</v8:item>
</Title>
<VerticalStretch>false</VerticalStretch>
<Group>Vertical</Group>
<Behavior>Usual</Behavior>
<ShowTitle>false</ShowTitle>
<ExtendedTooltip name="ГруппаПользовательскихНастроекРасширеннаяПодсказка" id="26"/>
</UsualGroup>
<Table name="Источник" id="5">
<ReadOnly>true</ReadOnly>
<ChoiceMode>true</ChoiceMode>
<SelectionMode>SingleRow</SelectionMode>
<UseAlternationRowColor>true</UseAlternationRowColor>
<DataPath>Источник</DataPath>
<RowPictureDataPath>Источник.DefaultPicture</RowPictureDataPath>
<Title>
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Источник</v8:content>
</v8:item>
</Title>
<AutoRefresh>false</AutoRefresh>
<AutoRefreshPeriod>60</AutoRefreshPeriod>
<Period>
<v8:variant xsi:type="v8:StandardPeriodVariant">Custom</v8:variant>
<v8:startDate>0001-01-01T00:00:00</v8:startDate>
<v8:endDate>0001-01-01T00:00:00</v8:endDate>
</Period>
<ChoiceFoldersAndItems>Items</ChoiceFoldersAndItems>
<RestoreCurrentRow>false</RestoreCurrentRow>
<TopLevelParent xsi:nil="true"/>
<ShowRoot>true</ShowRoot>
<AllowRootChoice>false</AllowRootChoice>
<UpdateOnDataChange>Auto</UpdateOnDataChange>
<UserSettingsGroup>ГруппаПользовательскихНастроек</UserSettingsGroup>
<AllowGettingCurrentRowURL>true</AllowGettingCurrentRowURL>
<ContextMenu name="ИсточникКонтекстноеМеню" id="6"/>
<AutoCommandBar name="ИсточникКоманднаяПанель" id="7">
<ChildItems>
<Button name="ФормаИзменитьФорму" id="18">
<Type>CommandBarButton</Type>
<CommandName>Form.StandardCommand.CustomizeForm</CommandName>
<ExtendedTooltip name="ФормаИзменитьФормуРасширеннаяПодсказка" id="19"/>
</Button>
<Button name="ФормаСправка" id="20">
<Type>CommandBarButton</Type>
<CommandName>Form.StandardCommand.Help</CommandName>
<ExtendedTooltip name="ФормаСправкаРасширеннаяПодсказка" id="21"/>
</Button>
</ChildItems>
</AutoCommandBar>
<ExtendedTooltip name="ИсточникРасширеннаяПодсказка" id="8"/>
<SearchStringAddition name="ИсточникСтрокаПоиска" id="9">
<AdditionSource>
<Item>Источник</Item>
<Type>SearchStringRepresentation</Type>
</AdditionSource>
<ContextMenu name="ИсточникСтрокаПоискаКонтекстноеМеню" id="10"/>
<ExtendedTooltip name="ИсточникСтрокаПоискаРасширеннаяПодсказка" id="11"/>
</SearchStringAddition>
<ViewStatusAddition name="ИсточникСостояниеПросмотра" id="12">
<AdditionSource>
<Item>Источник</Item>
<Type>ViewStatusRepresentation</Type>
</AdditionSource>
<ContextMenu name="ИсточникСостояниеПросмотраКонтекстноеМеню" id="13"/>
<ExtendedTooltip name="ИсточникСостояниеПросмотраРасширеннаяПодсказка" id="14"/>
</ViewStatusAddition>
<SearchControlAddition name="ИсточникУправлениеПоиском" id="15">
<AdditionSource>
<Item>Источник</Item>
<Type>SearchControl</Type>
</AdditionSource>
<ContextMenu name="ИсточникУправлениеПоискомКонтекстноеМеню" id="16"/>
<ExtendedTooltip name="ИсточникУправлениеПоискомРасширеннаяПодсказка" id="17"/>
</SearchControlAddition>
<ChildItems>
<PictureField name="СтандартнаяКартинка" id="22">
<DataPath>Источник.DefaultPicture</DataPath>
<ContextMenu name="СтандартнаяКартинкаКонтекстноеМеню" id="23"/>
<ExtendedTooltip name="СтандартнаяКартинкаРасширеннаяПодсказка" id="24"/>
</PictureField>
</ChildItems>
</Table>
</ChildItems>
<Attributes>
<Attribute name="Источник" id="1">
<Title>
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Источник</v8:content>
</v8:item>
</Title>
<Type>
<v8:Type>cfg:DynamicList</v8:Type>
</Type>
<MainAttribute>true</MainAttribute>
<Settings xsi:type="DynamicList">
<AutoFillAvailableFields>false</AutoFillAvailableFields>
<ManualQuery>true</ManualQuery>
<DynamicDataRead>true</DynamicDataRead>
<QueryText>ВЫБРАТЬ
ИСТИНА КАК ЗначениеИстина
ИЗ
РегистрСведений.СоставыГруппПользователей КАК РегистрПереопределяемый</QueryText>
<MainTable>InformationRegister.СоставыГруппПользователей</MainTable>
<ListSettings>
<dcsset:filter>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>dfcece9d-5077-440b-b6b3-45a5cb4538eb</dcsset:userSettingID>
</dcsset:filter>
<dcsset:order>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>88619765-ccb3-46c6-ac52-38e9c992ebd4</dcsset:userSettingID>
</dcsset:order>
<dcsset:conditionalAppearance>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>b75fecce-942b-4aed-abc9-e6a02e460fb3</dcsset:userSettingID>
</dcsset:conditionalAppearance>
<dcsset:itemsViewMode>Normal</dcsset:itemsViewMode>
<dcsset:itemsUserSettingID>911b6018-f537-43e8-a417-da56b22f9aec</dcsset:itemsUserSettingID>
</ListSettings>
</Settings>
</Attribute>
</Attributes>
<Parameters>
<Parameter name="ТипЭлементаДанных">
<Type/>
<KeyParameter>true</KeyParameter>
</Parameter>
</Parameters>
</Form> | 6,502 | Form | xml | ru | xml | data | {"qsc_code_num_words": 656, "qsc_code_num_chars": 6502.0, "qsc_code_mean_word_length": 7.23932927, "qsc_code_frac_words_unique": 0.34756098, "qsc_code_frac_chars_top_2grams": 0.01895136, "qsc_code_frac_chars_top_3grams": 0.02526848, "qsc_code_frac_chars_top_4grams": 0.0315856, "qsc_code_frac_chars_dupe_5grams": 0.20846494, "qsc_code_frac_chars_dupe_6grams": 0.18277532, "qsc_code_frac_chars_dupe_7grams": 0.14234576, "qsc_code_frac_chars_dupe_8grams": 0.09917877, "qsc_code_frac_chars_dupe_9grams": 0.06422405, "qsc_code_frac_chars_dupe_10grams": 0.03327016, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.04323667, "qsc_code_frac_chars_whitespace": 0.11427253, "qsc_code_size_file_byte": 6502.0, "qsc_code_num_lines": 148.0, "qsc_code_num_chars_line_max": 918.0, "qsc_code_num_chars_line_mean": 43.93243243, "qsc_code_frac_chars_alphabet": 0.78121202, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 1.0, "qsc_code_frac_lines_dupe_lines": 0.27702703, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.23023685, "qsc_code_frac_chars_long_word_length": 0.09520148, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 1, "qsc_code_cate_autogen": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0} |
1zb/deformable-convolution-pytorch | src/deform_conv_cuda_kernel.h | template <typename DType>
void deformable_im2col(cudaStream_t stream, const DType *data_im,
const DType *data_offset, const int channels,
const int height, const int width, const int ksize_h,
const int ksize_w, const int pad_h, const int pad_w,
const int stride_h, const int stride_w,
const int dilation_h, const int dilation_w,
const int deformable_group, DType *data_col);
template <typename DType>
void deformable_col2im(cudaStream_t stream, const DType *data_col,
const DType *data_offset, const int channels,
const int height, const int width, const int ksize_h,
const int ksize_w, const int pad_h, const int pad_w,
const int stride_h, const int stride_w,
const int dilation_h, const int dilation_w,
const int deformable_group, DType *grad_im);
template <typename DType>
void deformable_col2im_coord(cudaStream_t stream, const DType *data_col,
const DType *data_im, const DType *data_offset,
const int channels, const int height,
const int width, const int ksize_h,
const int ksize_w, const int pad_h,
const int pad_w, const int stride_h,
const int stride_w, const int dilation_h,
const int dilation_w, const int deformable_group,
DType *grad_offset);
| 1,667 | deform_conv_cuda_kernel | h | en | c | code | {"qsc_code_num_words": 200, "qsc_code_num_chars": 1667.0, "qsc_code_mean_word_length": 4.445, "qsc_code_frac_words_unique": 0.14, "qsc_code_frac_chars_top_2grams": 0.32395951, "qsc_code_frac_chars_top_3grams": 0.12148481, "qsc_code_frac_chars_top_4grams": 0.08436445, "qsc_code_frac_chars_dupe_5grams": 0.97075366, "qsc_code_frac_chars_dupe_6grams": 0.93138358, "qsc_code_frac_chars_dupe_7grams": 0.8200225, "qsc_code_frac_chars_dupe_8grams": 0.8200225, "qsc_code_frac_chars_dupe_9grams": 0.8200225, "qsc_code_frac_chars_dupe_10grams": 0.8200225, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00298805, "qsc_code_frac_chars_whitespace": 0.39772046, "qsc_code_size_file_byte": 1667.0, "qsc_code_num_lines": 28.0, "qsc_code_num_chars_line_max": 79.0, "qsc_code_num_chars_line_mean": 59.53571429, "qsc_code_frac_chars_alphabet": 0.88247012, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.5, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codec_frac_lines_func_ratio": 0.11538462, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 1.0, "qsc_codec_score_lines_no_logic": 0.11538462, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 1, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 1, "qsc_code_frac_chars_dupe_6grams": 1, "qsc_code_frac_chars_dupe_7grams": 1, "qsc_code_frac_chars_dupe_8grams": 1, "qsc_code_frac_chars_dupe_9grams": 1, "qsc_code_frac_chars_dupe_10grams": 1, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0} |
1zb/deformable-convolution-pytorch | src/deform_conv_cuda.h | int deform_conv_forward_cuda(THCudaTensor *input,
THCudaTensor *weight, /*THCudaTensor * bias, */
THCudaTensor *offset, THCudaTensor *output,
THCudaTensor *columns, THCudaTensor *ones, int kW,
int kH, int dW, int dH, int padW, int padH,
int dilationH, int dilationW,
int deformable_group);
int deform_conv_backward_input_cuda(
THCudaTensor *input, THCudaTensor *offset, THCudaTensor *gradOutput,
THCudaTensor *gradInput, THCudaTensor *gradOffset, THCudaTensor *weight,
THCudaTensor *columns, int kW, int kH, int dW, int dH, int padW, int padH,
int dilationH, int dilationW, int deformable_group);
int deform_conv_backward_parameters_cuda(
THCudaTensor *input, THCudaTensor *offset, THCudaTensor *gradOutput,
THCudaTensor *gradWeight, /*THCudaTensor *gradBias, */
THCudaTensor *columns, THCudaTensor *ones, int kW, int kH, int dW, int dH,
int padW, int padH, int dilationH, int dilationW, int deformable_group,
float scale);
| 1,136 | deform_conv_cuda | h | en | c | code | {"qsc_code_num_words": 118, "qsc_code_num_chars": 1136.0, "qsc_code_mean_word_length": 6.10169492, "qsc_code_frac_words_unique": 0.27118644, "qsc_code_frac_chars_top_2grams": 0.0375, "qsc_code_frac_chars_top_3grams": 0.05416667, "qsc_code_frac_chars_top_4grams": 0.1375, "qsc_code_frac_chars_dupe_5grams": 0.675, "qsc_code_frac_chars_dupe_6grams": 0.675, "qsc_code_frac_chars_dupe_7grams": 0.675, "qsc_code_frac_chars_dupe_8grams": 0.675, "qsc_code_frac_chars_dupe_9grams": 0.47222222, "qsc_code_frac_chars_dupe_10grams": 0.47222222, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.0, "qsc_code_frac_chars_whitespace": 0.27992958, "qsc_code_size_file_byte": 1136.0, "qsc_code_num_lines": 20.0, "qsc_code_num_chars_line_max": 80.0, "qsc_code_num_chars_line_mean": 56.8, "qsc_code_frac_chars_alphabet": 0.8801956, "qsc_code_frac_chars_comments": 0.04665493, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.11111111, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codec_frac_lines_func_ratio": 0.16666667, "qsc_codec_cate_bitsstdc": 0.0, "qsc_codec_nums_lines_main": 0, "qsc_codec_frac_lines_goto": 0.0, "qsc_codec_cate_var_zero": 1.0, "qsc_codec_score_lines_no_logic": 0.16666667, "qsc_codec_frac_lines_print": 0.0, "qsc_codec_frac_lines_preprocessor_directives": null} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codec_frac_lines_func_ratio": 0, "qsc_codec_nums_lines_main": 0, "qsc_codec_score_lines_no_logic": 0, "qsc_codec_frac_lines_preprocessor_directives": 0, "qsc_codec_frac_lines_print": 0} |
1zb/deformable-convolution-pytorch | modules/deform_conv.py | import math
import torch
import torch.nn as nn
from torch.nn.modules.module import Module
from torch.nn.modules.utils import _pair
from functions import conv_offset2d
class ConvOffset2d(Module):
def __init__(self,
in_channels,
out_channels,
kernel_size,
stride=1,
padding=0,
dilation=1,
num_deformable_groups=1):
super(ConvOffset2d, self).__init__()
self.in_channels = in_channels
self.out_channels = out_channels
self.kernel_size = _pair(kernel_size)
self.stride = _pair(stride)
self.padding = _pair(padding)
self.dilation = _pair(dilation)
self.num_deformable_groups = num_deformable_groups
self.weight = nn.Parameter(
torch.Tensor(out_channels, in_channels, *self.kernel_size))
self.reset_parameters()
def reset_parameters(self):
n = self.in_channels
for k in self.kernel_size:
n *= k
stdv = 1. / math.sqrt(n)
self.weight.data.uniform_(-stdv, stdv)
def forward(self, input, offset):
return conv_offset2d(input, offset, self.weight, self.stride,
self.padding, self.dilation,
self.num_deformable_groups)
| 1,345 | deform_conv | py | en | python | code | {"qsc_code_num_words": 154, "qsc_code_num_chars": 1345.0, "qsc_code_mean_word_length": 4.97402597, "qsc_code_frac_words_unique": 0.31168831, "qsc_code_frac_chars_top_2grams": 0.06527415, "qsc_code_frac_chars_top_3grams": 0.09921671, "qsc_code_frac_chars_top_4grams": 0.04699739, "qsc_code_frac_chars_dupe_5grams": 0.08093995, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00985761, "qsc_code_frac_chars_whitespace": 0.32118959, "qsc_code_size_file_byte": 1345.0, "qsc_code_num_lines": 43.0, "qsc_code_num_chars_line_max": 72.0, "qsc_code_num_chars_line_mean": 31.27906977, "qsc_code_frac_chars_alphabet": 0.82913472, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.08333333, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.16666667, "qsc_codepython_frac_lines_simplefunc": 0.027777777777777776, "qsc_codepython_score_lines_no_logic": 0.30555556, "qsc_codepython_frac_lines_print": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1y33/100Days | day03/anotherMatrix.cu | #include <iostream>
#include <cuda_runtime.h>
__device__ float randomFunction(float x, float y)
{
return x + y * 2;
}
__global__ void matrixFunction(const float *A, const float *B, float *C, const int size)
{
int i = blockIdx.x * blockDim.x + threadIdx.x;
int j = blockIdx.y * blockDim.y + threadIdx.y;
if (i < size && j < size)
{
C[i + size * j] = randomFunction(A[i + size * j], B[i + size * j]);
}
}
int main()
{
int N = 8;
int BLOCK_SIZE = 2;
dim3 blockDim(BLOCK_SIZE * BLOCK_SIZE);
dim3 gridDim(N + BLOCK_SIZE - 1 / BLOCK_SIZE, N + BLOCK_SIZE - 1 / BLOCK_SIZE);
int size = sizeof(float) * N * N;
float *A,*B,*C;
float *dA,*dB,*dC;
A = new float[N*N];
B = new float[N*N];
C = new float[N*N];
cudaMalloc((void**)&dA,size);
cudaMalloc((void**)&dB,size);
cudaMalloc((void**)&dC,size);
for (int i = 0; i < N; ++i) {
for (int j = 0; j < N; ++j) {
A[i + N * j] = 1.0f;
B[i + N * j] = 2.0f;
}
}
cudaMemcpy(dA,A,size,cudaMemcpyHostToDevice);
cudaMemcpy(dB,B,size,cudaMemcpyHostToDevice);
// now we have everything set up
matrixFunction<<<gridDim,blockDim>>>(dA,dB,dC,N);
cudaDeviceSynchronize();
cudaMemcpy(C,dC,size,cudaMemcpyDeviceToHost);
for (int i = 0; i < N*N; i++) {
std::cout << C[i] << " ";
if ((i + 1) % N == 0) std::cout << std::endl;
}
} | 1,441 | anotherMatrix | cu | en | cuda | code | {"qsc_code_num_words": 211, "qsc_code_num_chars": 1441.0, "qsc_code_mean_word_length": 3.63981043, "qsc_code_frac_words_unique": 0.26540284, "qsc_code_frac_chars_top_2grams": 0.08203125, "qsc_code_frac_chars_top_3grams": 0.03125, "qsc_code_frac_chars_top_4grams": 0.0390625, "qsc_code_frac_chars_dupe_5grams": 0.078125, "qsc_code_frac_chars_dupe_6grams": 0.078125, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01542912, "qsc_code_frac_chars_whitespace": 0.28036086, "qsc_code_size_file_byte": 1441.0, "qsc_code_num_lines": 58.0, "qsc_code_num_chars_line_max": 89.0, "qsc_code_num_chars_line_mean": 24.84482759, "qsc_code_frac_chars_alphabet": 0.72516876, "qsc_code_frac_chars_comments": 0.02290076, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00070972, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1y33/100Days | day03/addMatrix.cu | #include <iostream>
#include <cmath>
#include <cuda_runtime.h>
#include <chrono>
void printMatrix(const float *Matrix, const int size = 16) {
int rootSize = sqrt(size);
for (int i = 0; i < rootSize; i++) {
for (int j = 0; j < rootSize; j++) {
std::cout << Matrix[i * rootSize + j] << " ";
}
std::cout << "\n";
}
}
__global__ void matrixAddCUDA(const float *Matrix_A, const float *Matrix_B, float *Matrix_C,
const int sizeX, const int sizeY) {
int col = blockIdx.x * blockDim.x + threadIdx.x;
int row = blockIdx.y * blockDim.y + threadIdx.y;
if (row < sizeY && col < sizeX) {
Matrix_C[row * sizeX + col] = Matrix_A[row * sizeX + col] + Matrix_B[row * sizeX + col];
}
}
void matrixAddCPU(const float *Matrix_A, const float *Matrix_B, float *Matrix_C, int sizeX, int sizeY) {
for (int row = 0; row < sizeY; row++) {
for (int col = 0; col < sizeX; col++) {
Matrix_C[row * sizeX + col] = Matrix_A[row * sizeX + col] + Matrix_B[row * sizeX + col];
}
}
}
void compareExecutionTime(const float *Matrix_A, const float *Matrix_B, float *Matrix_C,
const int sizeX, const int sizeY) {
const int matrixSize = sizeX * sizeY;
const int matrixBytes = sizeof(float) * matrixSize;
float *gpu_A, *gpu_B, *gpu_C;
cudaMalloc((void **)&gpu_A, matrixBytes);
cudaMalloc((void **)&gpu_B, matrixBytes);
cudaMalloc((void **)&gpu_C, matrixBytes);
cudaMemcpy(gpu_A, Matrix_A, matrixBytes, cudaMemcpyHostToDevice);
cudaMemcpy(gpu_B, Matrix_B, matrixBytes, cudaMemcpyHostToDevice);
int BLOCK_SIZE = 32;
dim3 blockDim(BLOCK_SIZE, BLOCK_SIZE);
dim3 gridDim((sizeX + BLOCK_SIZE - 1) / BLOCK_SIZE, (sizeY + BLOCK_SIZE - 1) / BLOCK_SIZE);
auto startCPU = std::chrono::high_resolution_clock::now();
matrixAddCPU(Matrix_A, Matrix_B, Matrix_C, sizeX, sizeY);
auto endCPU = std::chrono::high_resolution_clock::now();
auto startCUDA = std::chrono::high_resolution_clock::now();
matrixAddCUDA<<<gridDim, blockDim>>>(gpu_A, gpu_B, gpu_C, sizeX, sizeY);
cudaDeviceSynchronize();
auto endCUDA = std::chrono::high_resolution_clock::now();
cudaMemcpy(Matrix_C, gpu_C, matrixBytes, cudaMemcpyDeviceToHost);
std::chrono::duration<double> cpuDuration = endCPU - startCPU;
std::chrono::duration<double> cudaDuration = endCUDA - startCUDA;
std::cout << "CPU Execution Time: " << cpuDuration.count() << " seconds\n";
std::cout << "CUDA Execution Time: " << cudaDuration.count() << " seconds\n";
cudaFree(gpu_A);
cudaFree(gpu_B);
cudaFree(gpu_C);
}
int main() {
const int sizeX = 1024*16;
const int sizeY = 1024*16;
const int matrixSize = sizeX * sizeY;
float *cpu_A = new float[matrixSize];
float *cpu_B = new float[matrixSize];
float *cpu_C = new float[matrixSize];
for (int i = 0; i < matrixSize; i++) {
cpu_A[i] = 10.0f;
cpu_B[i] = static_cast<float>(i);
}
compareExecutionTime(cpu_A, cpu_B, cpu_C, sizeX, sizeY);
delete[] cpu_A;
delete[] cpu_B;
delete[] cpu_C;
return 0;
}
| 3,181 | addMatrix | cu | en | cuda | code | {"qsc_code_num_words": 413, "qsc_code_num_chars": 3181.0, "qsc_code_mean_word_length": 4.67312349, "qsc_code_frac_words_unique": 0.20096852, "qsc_code_frac_chars_top_2grams": 0.05699482, "qsc_code_frac_chars_top_3grams": 0.05803109, "qsc_code_frac_chars_top_4grams": 0.03523316, "qsc_code_frac_chars_dupe_5grams": 0.32020725, "qsc_code_frac_chars_dupe_6grams": 0.23523316, "qsc_code_frac_chars_dupe_7grams": 0.15854922, "qsc_code_frac_chars_dupe_8grams": 0.15854922, "qsc_code_frac_chars_dupe_9grams": 0.15854922, "qsc_code_frac_chars_dupe_10grams": 0.15854922, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01187551, "qsc_code_frac_chars_whitespace": 0.23231688, "qsc_code_size_file_byte": 3181.0, "qsc_code_num_lines": 93.0, "qsc_code_num_chars_line_max": 105.0, "qsc_code_num_chars_line_mean": 34.20430108, "qsc_code_frac_chars_alphabet": 0.77846028, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.08108108, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.02011946, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1c-syntax/ssl_3_1 | src/cf/Reports/ИзменениеУчастниковГруппПользователей/Templates/Макет/Ext/Template.xml | <?xml version="1.0" encoding="UTF-8"?>
<DataCompositionSchema xmlns="http://v8.1c.ru/8.1/data-composition-system/schema" xmlns:dcscom="http://v8.1c.ru/8.1/data-composition-system/common" xmlns:dcscor="http://v8.1c.ru/8.1/data-composition-system/core" xmlns:dcsset="http://v8.1c.ru/8.1/data-composition-system/settings" xmlns:v8="http://v8.1c.ru/8.1/data/core" xmlns:v8ui="http://v8.1c.ru/8.1/data/ui" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<dataSource>
<name>ИсточникДанных1</name>
<dataSourceType>Local</dataSourceType>
</dataSource>
<dataSet xsi:type="DataSetObject">
<name>Изменения</name>
<field xsi:type="DataSetFieldField">
<dataPath>ИдентификаторРодителя</dataPath>
<field>ИдентификаторРодителя</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Идентификатор родителя</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>73</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ИдентификаторСтроки</dataPath>
<field>ИдентификаторСтроки</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Идентификатор строки</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>73</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ПредставлениеСтроки</dataPath>
<field>ПредставлениеСтроки</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Представление строки</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>0</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ЭтоСобытие</dataPath>
<field>ЭтоСобытие</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Это событие</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ЭтоГруппа</dataPath>
<field>ЭтоГруппа</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Это группа</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ЭтоПользователь</dataPath>
<field>ЭтоПользователь</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Это пользователь</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>НомерСобытия</dataPath>
<field>НомерСобытия</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Номер события</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:decimal</v8:Type>
<v8:NumberQualifiers>
<v8:Digits>0</v8:Digits>
<v8:FractionDigits>0</v8:FractionDigits>
<v8:AllowedSign>Any</v8:AllowedSign>
</v8:NumberQualifiers>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>Дата</dataPath>
<field>Дата</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Дата</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:dateTime</v8:Type>
<v8:DateQualifiers>
<v8:DateFractions>DateTime</v8:DateFractions>
</v8:DateQualifiers>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>Автор</dataPath>
<field>Автор</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Автор</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>0</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ИдентификаторАвтора</dataPath>
<field>ИдентификаторАвтора</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Идентификатор автора</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>36</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>Приложение</dataPath>
<field>Приложение</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Приложение</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>0</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>Компьютер</dataPath>
<field>Компьютер</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Компьютер</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>0</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>Сеанс</dataPath>
<field>Сеанс</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Сеанс</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:decimal</v8:Type>
<v8:NumberQualifiers>
<v8:Digits>0</v8:Digits>
<v8:FractionDigits>0</v8:FractionDigits>
<v8:AllowedSign>Any</v8:AllowedSign>
</v8:NumberQualifiers>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>Соединение</dataPath>
<field>Соединение</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Номер соединения</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:decimal</v8:Type>
<v8:NumberQualifiers>
<v8:Digits>0</v8:Digits>
<v8:FractionDigits>0</v8:FractionDigits>
<v8:AllowedSign>Any</v8:AllowedSign>
</v8:NumberQualifiers>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ИдентификаторГруппы</dataPath>
<field>ИдентификаторГруппы</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Идентификатор группы</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>73</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ИдентификаторПользователя</dataPath>
<field>ИдентификаторПользователя</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Идентификатор пользователя</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>36</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ИзНижестоящейГруппы</dataPath>
<field>ИзНижестоящейГруппы</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Из нижестоящей группы</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>Используется</dataPath>
<field>Используется</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Используется</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВидИзменения</dataPath>
<field>ВидИзменения</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Вид изменения</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>1</v8:Length>
<v8:AllowedLength>Fixed</v8:AllowedLength>
</v8:StringQualifiers>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ПредставлениеГруппы</dataPath>
<field>ПредставлениеГруппы</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Представление группы</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>1000</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ПредставлениеПользователя</dataPath>
<field>ПредставлениеПользователя</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Представление пользователя</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>1000</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</valueType>
</field>
<dataSource>ИсточникДанных1</dataSource>
<objectName>Изменения</objectName>
</dataSet>
<dataSetLink>
<sourceDataSet>Изменения</sourceDataSet>
<destinationDataSet>Изменения</destinationDataSet>
<sourceExpression>ИдентификаторСтроки</sourceExpression>
<destinationExpression>ИдентификаторРодителя</destinationExpression>
<startExpression>""</startExpression>
</dataSetLink>
<parameter>
<name>Период</name>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Период</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>v8:StandardPeriod</v8:Type>
</valueType>
<value xsi:type="v8:StandardPeriod">
<v8:variant xsi:type="v8:StandardPeriodVariant">Custom</v8:variant>
<v8:startDate>0001-01-01T00:00:00</v8:startDate>
<v8:endDate>0001-01-01T00:00:00</v8:endDate>
</value>
<useRestriction>false</useRestriction>
</parameter>
<parameter>
<name>Пользователь</name>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Пользователь</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type xmlns:d4p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d4p1:CatalogRef.Пользователи</v8:Type>
</valueType>
<useRestriction>false</useRestriction>
<valueListAllowed>true</valueListAllowed>
</parameter>
<parameter>
<name>ГруппаПользователей</name>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Группа пользователей</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type xmlns:d4p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d4p1:CatalogRef.ГруппыПользователей</v8:Type>
</valueType>
<useRestriction>false</useRestriction>
<valueListAllowed>true</valueListAllowed>
</parameter>
<parameter>
<name>СкрыватьПользователейНижестоящихГрупп</name>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Скрывать пользователей нижестоящих групп</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
<value xsi:type="xs:boolean">true</value>
<useRestriction>false</useRestriction>
<inputParameters>
<dcscor:item>
<dcscor:parameter>БыстрыйВыбор</dcscor:parameter>
<dcscor:value xsi:type="xs:boolean">true</dcscor:value>
</dcscor:item>
</inputParameters>
</parameter>
<parameter>
<name>ВнешнийПользователь</name>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Внешний пользователь</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type xmlns:d4p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d4p1:CatalogRef.ВнешниеПользователи</v8:Type>
</valueType>
<useRestriction>false</useRestriction>
<valueListAllowed>true</valueListAllowed>
</parameter>
<parameter>
<name>ГруппаВнешнихПользователей</name>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Группа внешних пользователей</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type xmlns:d4p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d4p1:CatalogRef.ГруппыВнешнихПользователей</v8:Type>
</valueType>
<useRestriction>false</useRestriction>
<valueListAllowed>true</valueListAllowed>
</parameter>
<parameter>
<name>Автор</name>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Автор</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>0</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</valueType>
<value xsi:type="xs:string"/>
<useRestriction>false</useRestriction>
</parameter>
<template>
<name>Макет1</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Дата, Автор, Приложение, Компьютер, Сеанс</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Группа пользователей</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Пользователь</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
</dcsat:tableCell>
</dcsat:item>
</template>
</template>
<template>
<name>Макет2</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>-</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Шрифт</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Font" faceName="Arial" height="8" bold="true" italic="false" underline="false" strikeout="false" kind="Absolute" scale="100"/>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>если пользователь удален из группы.</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>+</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Шрифт</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Font" faceName="Arial" height="8" bold="true" italic="false" underline="false" strikeout="false" kind="Absolute" scale="100"/>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>если пользователь добавлен в группу.</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>*</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Шрифт</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Font" faceName="Arial" height="8" bold="true" italic="false" underline="false" strikeout="false" kind="Absolute" scale="100"/>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>если для пользователя изменилась активность.</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>П</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ЦветТекста</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">#C0C0C0</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>серый цвет пользователя, если пользователь не активен.</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Пользователь активен, если группа пользователей и
пользователь не помечены на удаление и пользователь действителен.</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell/>
</dcsat:item>
</template>
</template>
<template>
<name>Макет3</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Дата, Автор, Приложение, Компьютер, Сеанс</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Группа внешних пользователей</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Внешний пользователь</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
</dcsat:tableCell>
</dcsat:item>
</template>
</template>
<template>
<name>Макет4</name>
<template xmlns:dcsat="http://v8.1c.ru/8.1/data-composition-system/area-template" xsi:type="dcsat:AreaTemplate">
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>-</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Шрифт</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Font" faceName="Arial" height="8" bold="true" italic="false" underline="false" strikeout="false" kind="Absolute" scale="100"/>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>если внешний пользователь удален из группы.</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>+</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Шрифт</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Font" faceName="Arial" height="8" bold="true" italic="false" underline="false" strikeout="false" kind="Absolute" scale="100"/>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>если внешний пользователь добавлен в группу.</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>*</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>Шрифт</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Font" faceName="Arial" height="8" bold="true" italic="false" underline="false" strikeout="false" kind="Absolute" scale="100"/>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>если для внешнего пользователя изменилась активность.</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>П</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>ЦветТекста</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">#C0C0C0</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>ГоризонтальноеПоложение</dcscor:parameter>
<dcscor:value xsi:type="v8ui:HorizontalAlign">Center</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>серый цвет внешнего пользователя, если внешний пользователь не активен.</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяВысота</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">3.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
</dcsat:item>
<dcsat:item xsi:type="dcsat:TableRow">
<dcsat:tableCell>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.125</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell>
<dcsat:item xsi:type="dcsat:Field">
<dcsat:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Пользователь активен, если группа внешних пользователей и
внешний пользователь не помечены на удаление и внешний пользователь действителен.</v8:content>
</v8:item>
</dcsat:value>
</dcsat:item>
<dcsat:appearance>
<dcscor:item>
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
<dcscor:item>
<dcscor:parameter>МаксимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">2.75</dcscor:value>
</dcscor:item>
</dcsat:appearance>
</dcsat:tableCell>
<dcsat:tableCell/>
</dcsat:item>
</template>
</template>
<groupHeaderTemplate>
<groupName>ПредставлениеСтроки</groupName>
<templateType>Header</templateType>
<template>Макет1</template>
</groupHeaderTemplate>
<groupHeaderTemplate>
<groupName>Легенда</groupName>
<templateType>Header</templateType>
<template>Макет2</template>
</groupHeaderTemplate>
<groupHeaderTemplate>
<groupName>ПредставлениеСтрокиВнешниеПользователи</groupName>
<templateType>Header</templateType>
<template>Макет3</template>
</groupHeaderTemplate>
<groupHeaderTemplate>
<groupName>ЛегендаВнешниеПользователи</groupName>
<templateType>Header</templateType>
<template>Макет4</template>
</groupHeaderTemplate>
<settingsVariant>
<dcsset:name>ИзменениеУчастниковГруппПользователей</dcsset:name>
<dcsset:presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Изменение участников групп пользователей</v8:content>
</v8:item>
</dcsset:presentation>
<dcsset:settings xmlns:style="http://v8.1c.ru/8.1/data/ui/style" xmlns:sys="http://v8.1c.ru/8.1/data/ui/fonts/system" xmlns:web="http://v8.1c.ru/8.1/data/ui/colors/web" xmlns:win="http://v8.1c.ru/8.1/data/ui/colors/windows">
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПредставлениеСтроки</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemFolder">
<dcsset:use>false</dcsset:use>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Дата</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Автор</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:use>false</dcsset:use>
<dcsset:field>ИдентификаторАвтора</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Приложение</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Компьютер</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Сеанс</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:use>false</dcsset:use>
<dcsset:field>Соединение</dcsset:field>
</dcsset:item>
<dcsset:placement>Together</dcsset:placement>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:use>false</dcsset:use>
<dcsset:field>ИдентификаторГруппы</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:use>false</dcsset:use>
<dcsset:field>ПредставлениеГруппы</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:use>false</dcsset:use>
<dcsset:field>ИдентификаторПользователя</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:use>false</dcsset:use>
<dcsset:field>ПредставлениеПользователя</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:use>false</dcsset:use>
<dcsset:field>ИзНижестоящейГруппы</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:use>false</dcsset:use>
<dcsset:field>Используется</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:use>false</dcsset:use>
<dcsset:field>ВидИзменения</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:dataParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Период</dcscor:parameter>
<dcscor:value xsi:type="v8:StandardPeriod">
<v8:variant xsi:type="v8:StandardPeriodVariant">ThisWeek</v8:variant>
</dcscor:value>
<dcsset:userSettingID>6c505f8a-46d3-4549-8e87-66584f757c6c</dcsset:userSettingID>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>Пользователь</dcscor:parameter>
<dcscor:value xsi:nil="true"/>
<dcsset:userSettingID>57d4733a-835f-4c15-92f9-ea081916f9bb</dcsset:userSettingID>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>ГруппаПользователей</dcscor:parameter>
<dcscor:value xsi:nil="true"/>
<dcsset:userSettingID>d4489125-004f-4667-8581-1ab7c328be4d</dcsset:userSettingID>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>СкрыватьПользователейНижестоящихГрупп</dcscor:parameter>
<dcscor:value xsi:type="xs:boolean">true</dcscor:value>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>80a21dd1-f073-4852-ab4b-99b840be8e7f</dcsset:userSettingID>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>ВнешнийПользователь</dcscor:parameter>
<dcscor:value xsi:nil="true"/>
<dcsset:viewMode>Inaccessible</dcsset:viewMode>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>ГруппаВнешнихПользователей</dcscor:parameter>
<dcscor:value xsi:nil="true"/>
<dcsset:viewMode>Inaccessible</dcsset:viewMode>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>Автор</dcscor:parameter>
<dcscor:value xsi:type="xs:string"/>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>ac65ebdd-7303-4b85-8761-86ec14ae2c1f</dcsset:userSettingID>
</dcscor:item>
</dcsset:dataParameters>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemField">
<dcsset:field>НомерСобытия</dcsset:field>
<dcsset:orderType>Asc</dcsset:orderType>
</dcsset:item>
<dcsset:item xsi:type="dcsset:OrderItemField">
<dcsset:field>ЭтоСобытие</dcsset:field>
<dcsset:orderType>Desc</dcsset:orderType>
</dcsset:item>
<dcsset:item xsi:type="dcsset:OrderItemField">
<dcsset:field>ЭтоПользователь</dcsset:field>
<dcsset:orderType>Desc</dcsset:orderType>
</dcsset:item>
</dcsset:order>
<dcsset:conditionalAppearance>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПредставлениеСтроки</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ЭтоПользователь</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Используется</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветТекста</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ТекстЗапрещеннойЯчейкиЦвет</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
</dcsset:conditionalAppearance>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>ПредставлениеСтроки</dcsset:name>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>Легенда</dcsset:name>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>МакетОформления</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БезОформления</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>КоличествоЗаписей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">0</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
</dcsset:item>
</dcsset:settings>
</settingsVariant>
<settingsVariant>
<dcsset:name>ИзменениеУчастниковГруппВнешнихПользователей</dcsset:name>
<dcsset:presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Изменение участников групп внешних пользователей</v8:content>
</v8:item>
</dcsset:presentation>
<dcsset:settings xmlns:style="http://v8.1c.ru/8.1/data/ui/style" xmlns:sys="http://v8.1c.ru/8.1/data/ui/fonts/system" xmlns:web="http://v8.1c.ru/8.1/data/ui/colors/web" xmlns:win="http://v8.1c.ru/8.1/data/ui/colors/windows">
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>ПредставлениеСтроки</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemFolder">
<dcsset:use>false</dcsset:use>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Дата</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Автор</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:use>false</dcsset:use>
<dcsset:field>ИдентификаторАвтора</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Приложение</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Компьютер</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Сеанс</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:use>false</dcsset:use>
<dcsset:field>Соединение</dcsset:field>
</dcsset:item>
<dcsset:placement>Together</dcsset:placement>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:use>false</dcsset:use>
<dcsset:field>ИдентификаторГруппы</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:use>false</dcsset:use>
<dcsset:field>ПредставлениеГруппы</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:use>false</dcsset:use>
<dcsset:field>ИдентификаторПользователя</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:use>false</dcsset:use>
<dcsset:field>ПредставлениеПользователя</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:use>false</dcsset:use>
<dcsset:field>ИзНижестоящейГруппы</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:use>false</dcsset:use>
<dcsset:field>Используется</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:use>false</dcsset:use>
<dcsset:field>ВидИзменения</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:dataParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Период</dcscor:parameter>
<dcscor:value xsi:type="v8:StandardPeriod">
<v8:variant xsi:type="v8:StandardPeriodVariant">ThisWeek</v8:variant>
</dcscor:value>
<dcsset:userSettingID>6c505f8a-46d3-4549-8e87-66584f757c6c</dcsset:userSettingID>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>Пользователь</dcscor:parameter>
<dcscor:value xsi:nil="true"/>
<dcsset:viewMode>Inaccessible</dcsset:viewMode>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>ГруппаПользователей</dcscor:parameter>
<dcscor:value xsi:nil="true"/>
<dcsset:viewMode>Inaccessible</dcsset:viewMode>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>СкрыватьПользователейНижестоящихГрупп</dcscor:parameter>
<dcscor:value xsi:type="xs:boolean">true</dcscor:value>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>80a21dd1-f073-4852-ab4b-99b840be8e7f</dcsset:userSettingID>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>ВнешнийПользователь</dcscor:parameter>
<dcscor:value xsi:nil="true"/>
<dcsset:userSettingID>0d84bcaa-8cea-4df4-81d3-a889e6985c36</dcsset:userSettingID>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>ГруппаВнешнихПользователей</dcscor:parameter>
<dcscor:value xsi:nil="true"/>
<dcsset:userSettingID>b974b122-76be-4ad8-b1f9-f7758c2ad45f</dcsset:userSettingID>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:use>false</dcscor:use>
<dcscor:parameter>Автор</dcscor:parameter>
<dcscor:value xsi:type="xs:string"/>
<dcsset:viewMode>Normal</dcsset:viewMode>
<dcsset:userSettingID>63281890-271d-4f31-bebd-5cd03fe927c2</dcsset:userSettingID>
</dcscor:item>
</dcsset:dataParameters>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemField">
<dcsset:field>НомерСобытия</dcsset:field>
<dcsset:orderType>Asc</dcsset:orderType>
</dcsset:item>
<dcsset:item xsi:type="dcsset:OrderItemField">
<dcsset:field>ЭтоСобытие</dcsset:field>
<dcsset:orderType>Desc</dcsset:orderType>
</dcsset:item>
<dcsset:item xsi:type="dcsset:OrderItemField">
<dcsset:field>ЭтоПользователь</dcsset:field>
<dcsset:orderType>Desc</dcsset:orderType>
</dcsset:item>
</dcsset:order>
<dcsset:conditionalAppearance>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>ПредставлениеСтроки</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ЭтоПользователь</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">true</dcsset:right>
</dcsset:item>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">Используется</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ЦветТекста</dcscor:parameter>
<dcscor:value xsi:type="v8ui:Color">style:ТекстЗапрещеннойЯчейкиЦвет</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
</dcsset:conditionalAppearance>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Заголовок</dcscor:parameter>
<dcscor:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Изменение участников групп внешних пользователей</v8:content>
</v8:item>
</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>ПредставлениеСтрокиВнешниеПользователи</dcsset:name>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
</dcsset:item>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:name>ЛегендаВнешниеПользователи</dcsset:name>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemAuto"/>
</dcsset:selection>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>МакетОформления</dcscor:parameter>
<dcscor:value xsi:type="xs:string">БезОформления</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>КоличествоЗаписей</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">0</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
</dcsset:item>
</dcsset:settings>
</settingsVariant>
</DataCompositionSchema> | 54,422 | Template | xml | ru | xml | data | {"qsc_code_num_words": 6133, "qsc_code_num_chars": 54422.0, "qsc_code_mean_word_length": 5.89841839, "qsc_code_frac_words_unique": 0.04973096, "qsc_code_frac_chars_top_2grams": 0.05708362, "qsc_code_frac_chars_top_3grams": 0.05705598, "qsc_code_frac_chars_top_4grams": 0.06612301, "qsc_code_frac_chars_dupe_5grams": 0.91295093, "qsc_code_frac_chars_dupe_6grams": 0.90604008, "qsc_code_frac_chars_dupe_7grams": 0.90078784, "qsc_code_frac_chars_dupe_8grams": 0.89835522, "qsc_code_frac_chars_dupe_9grams": 0.89271596, "qsc_code_frac_chars_dupe_10grams": 0.88627505, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02647631, "qsc_code_frac_chars_whitespace": 0.16857153, "qsc_code_size_file_byte": 54422.0, "qsc_code_num_lines": 1539.0, "qsc_code_num_chars_line_max": 461.0, "qsc_code_num_chars_line_mean": 35.36192333, "qsc_code_frac_chars_alphabet": 0.77298444, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 1.0, "qsc_code_frac_lines_dupe_lines": 0.90253411, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.00259909, "qsc_code_frac_chars_string_length": 0.11506376, "qsc_code_frac_chars_long_word_length": 0.03448973, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 1, "qsc_code_frac_chars_dupe_6grams": 1, "qsc_code_frac_chars_dupe_7grams": 1, "qsc_code_frac_chars_dupe_8grams": 1, "qsc_code_frac_chars_dupe_9grams": 1, "qsc_code_frac_chars_dupe_10grams": 1, "qsc_code_frac_lines_dupe_lines": 1, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 1, "qsc_code_cate_autogen": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0} |
1zb/deformable-convolution-pytorch | functions/deform_conv.py | import torch
from torch.autograd import Function
from torch.nn.modules.utils import _pair
from _ext import deform_conv
def conv_offset2d(input,
offset,
weight,
stride=1,
padding=0,
dilation=1,
deform_groups=1):
if input is not None and input.dim() != 4:
raise ValueError(
"Expected 4D tensor as input, got {}D tensor instead.".format(
input.dim()))
f = ConvOffset2dFunction(
_pair(stride), _pair(padding), _pair(dilation), deform_groups)
return f(input, offset, weight)
class ConvOffset2dFunction(Function):
def __init__(self, stride, padding, dilation, deformable_groups=1):
super(ConvOffset2dFunction, self).__init__()
self.stride = stride
self.padding = padding
self.dilation = dilation
self.deformable_groups = deformable_groups
def forward(self, input, offset, weight):
self.save_for_backward(input, offset, weight)
output = input.new(*self._output_size(input, weight))
self.bufs_ = [input.new(), input.new()] # columns, ones
if not input.is_cuda:
raise NotImplementedError
else:
if isinstance(input, torch.autograd.Variable):
if not isinstance(input.data, torch.cuda.FloatTensor):
raise NotImplementedError
else:
if not isinstance(input, torch.cuda.FloatTensor):
raise NotImplementedError
deform_conv.deform_conv_forward_cuda(
input, weight, offset, output, self.bufs_[0], self.bufs_[1],
weight.size(3), weight.size(2), self.stride[1], self.stride[0],
self.padding[1], self.padding[0], self.dilation[1],
self.dilation[0], self.deformable_groups)
return output
def backward(self, grad_output):
input, offset, weight = self.saved_tensors
grad_input = grad_offset = grad_weight = None
if not grad_output.is_cuda:
raise NotImplementedError
else:
if isinstance(grad_output, torch.autograd.Variable):
if not isinstance(grad_output.data, torch.cuda.FloatTensor):
raise NotImplementedError
else:
if not isinstance(grad_output, torch.cuda.FloatTensor):
raise NotImplementedError
if self.needs_input_grad[0] or self.needs_input_grad[1]:
grad_input = input.new(*input.size()).zero_()
grad_offset = offset.new(*offset.size()).zero_()
deform_conv.deform_conv_backward_input_cuda(
input, offset, grad_output, grad_input,
grad_offset, weight, self.bufs_[0], weight.size(3),
weight.size(2), self.stride[1], self.stride[0],
self.padding[1], self.padding[0], self.dilation[1],
self.dilation[0], self.deformable_groups)
if self.needs_input_grad[2]:
grad_weight = weight.new(*weight.size()).zero_()
deform_conv.deform_conv_backward_parameters_cuda(
input, offset, grad_output,
grad_weight, self.bufs_[0], self.bufs_[1], weight.size(3),
weight.size(2), self.stride[1], self.stride[0],
self.padding[1], self.padding[0], self.dilation[1],
self.dilation[0], self.deformable_groups, 1)
return grad_input, grad_offset, grad_weight
def _output_size(self, input, weight):
channels = weight.size(0)
output_size = (input.size(0), channels)
for d in range(input.dim() - 2):
in_size = input.size(d + 2)
pad = self.padding[d]
kernel = self.dilation[d] * (weight.size(d + 2) - 1) + 1
stride = self.stride[d]
output_size += ((in_size + (2 * pad) - kernel) // stride + 1, )
if not all(map(lambda s: s > 0, output_size)):
raise ValueError(
"convolution input is too small (output would be {})".format(
'x'.join(map(str, output_size))))
return output_size
| 4,295 | deform_conv | py | en | python | code | {"qsc_code_num_words": 491, "qsc_code_num_chars": 4295.0, "qsc_code_mean_word_length": 4.86354379, "qsc_code_frac_words_unique": 0.18533605, "qsc_code_frac_chars_top_2grams": 0.02303183, "qsc_code_frac_chars_top_3grams": 0.03559464, "qsc_code_frac_chars_top_4grams": 0.05025126, "qsc_code_frac_chars_dupe_5grams": 0.42378559, "qsc_code_frac_chars_dupe_6grams": 0.36180905, "qsc_code_frac_chars_dupe_7grams": 0.28308208, "qsc_code_frac_chars_dupe_8grams": 0.21440536, "qsc_code_frac_chars_dupe_9grams": 0.21440536, "qsc_code_frac_chars_dupe_10grams": 0.21440536, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01847417, "qsc_code_frac_chars_whitespace": 0.31944121, "qsc_code_size_file_byte": 4295.0, "qsc_code_num_lines": 106.0, "qsc_code_num_chars_line_max": 80.0, "qsc_code_num_chars_line_mean": 40.51886792, "qsc_code_frac_chars_alphabet": 0.7984947, "qsc_code_frac_chars_comments": 0.00302678, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.21590909, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.02429907, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.05681818, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.04545455, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.15909091, "qsc_codepython_frac_lines_print": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1y33/100Days | day81/main.py | import triton
import triton.language as tl
@triton.jit
def fused_layernorm_ff_dropout_kernel(
x_ptr, out_ptr,
gamma_ptr, beta_ptr,
weight1_ptr, bias1_ptr,
weight2_ptr, bias2_ptr,
seed,
dropout_p: tl.constexpr,
N: tl.constexpr,
M: tl.constexpr,
BLOCK: tl.constexpr
):
row_idx = tl.program_id(0)
row_offset = row_idx * N
x = tl.load(x_ptr + row_offset + tl.arange(0, N))
mean = tl.sum(x, axis=0) / N
diff = x - mean
var = tl.sum(diff * diff, axis=0) / N
norm = diff * tl.rsqrt(var + 1e-5)
gamma = tl.load(gamma_ptr + tl.arange(0, N))
beta = tl.load(beta_ptr + tl.arange(0, N))
norm = norm * gamma + beta
hidden = tl.zeros([M], dtype=x.dtype)
for i in range(0, N, BLOCK):
block_range = i + tl.arange(0, BLOCK)
norm_block = norm[block_range]
weight1_block = tl.load(
weight1_ptr + i * M + tl.arange(0, BLOCK)[:, None] * M + tl.arange(0, M),
mask=(i + tl.arange(0, BLOCK))[:, None] < N, other=0.0
)
hidden += tl.dot(norm_block, weight1_block)
bias1 = tl.load(bias1_ptr + tl.arange(0, M))
hidden += bias1
SQRT_2_OVER_PI = 0.7978845608028654
gelu_hidden = 0.5 * hidden * (1.0 + tl.tanh(SQRT_2_OVER_PI * (hidden + 0.044715 * hidden * hidden * hidden)))
prng = tl.arange(0, M) + row_idx * M + seed
rand_vals = ((1103515245 * prng + 12345) & 0x7fffffff) / 2147483647.0
dropout_mask = rand_vals > dropout_p
dropout_scale = 1.0 / (1.0 - dropout_p)
dropped = gelu_hidden * dropout_mask * dropout_scale
out = tl.zeros([N], dtype=x.dtype)
for j in range(0, M, BLOCK):
block_range = j + tl.arange(0, BLOCK)
dropped_block = dropped[block_range]
weight2_block = tl.load(
weight2_ptr + j * N + tl.arange(0, BLOCK)[:, None] * N + tl.arange(0, N),
mask=(j + tl.arange(0, BLOCK))[:, None] < M, other=0.0
)
out += tl.dot(dropped_block, weight2_block)
bias2 = tl.load(bias2_ptr + tl.arange(0, N))
out += bias2
tl.store(out_ptr + row_offset + tl.arange(0, N), out)
| 2,118 | main | py | en | python | code | {"qsc_code_num_words": 334, "qsc_code_num_chars": 2118.0, "qsc_code_mean_word_length": 3.61377246, "qsc_code_frac_words_unique": 0.2245509, "qsc_code_frac_chars_top_2grams": 0.09942005, "qsc_code_frac_chars_top_3grams": 0.11184756, "qsc_code_frac_chars_top_4grams": 0.04971002, "qsc_code_frac_chars_dupe_5grams": 0.16321458, "qsc_code_frac_chars_dupe_6grams": 0.09942005, "qsc_code_frac_chars_dupe_7grams": 0.03645402, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.06636886, "qsc_code_frac_chars_whitespace": 0.26015109, "qsc_code_size_file_byte": 2118.0, "qsc_code_num_lines": 64.0, "qsc_code_num_chars_line_max": 114.0, "qsc_code_num_chars_line_mean": 33.09375, "qsc_code_frac_chars_alphabet": 0.70389279, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.00472144, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.01851852, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.03703704, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.05555556, "qsc_codepython_frac_lines_print": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1ytic/warp-rnnt | pytorch_binding/benchmark.py | import argparse
import torch
import torch.nn.functional as F
from timeit import default_timer as timer
def run_benchmark(loss, E, N, T, U, V, random_length=False, device="cuda"):
torch.manual_seed(N)
elapsed_time = 0
for i in range(E):
xs = torch.randn((N, T, U, V), dtype=torch.float32, requires_grad=True)
ys = torch.randint(1, V, (N, U-1), dtype=torch.int)
if random_length:
xn = torch.randint(T // 2, T+1, (N,), dtype=torch.int)
yn = torch.randint(U // 2, U, (N,), dtype=torch.int)
xn = xn + T - xn.max()
yn = yn + U-1 - yn.max()
else:
xn = torch.ones((N,), dtype=torch.int) * T
yn = torch.ones((N,), dtype=torch.int) * (U-1)
if device == "cuda":
xs = xs.cuda()
ys = ys.cuda()
xn = xn.cuda()
yn = yn.cuda()
torch.cuda.synchronize() # sync before start the timer
t = timer()
costs = loss(xs, ys, xn, yn)
if device == "cuda":
torch.cuda.synchronize() # sync before stop the timer
elapsed_time += timer() - t
del xs, ys, xn, yn, costs
if device == "cuda":
torch.cuda.empty_cache()
return elapsed_time * 1000 / E
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Benchmark RNN-T loss implementation")
parser.add_argument("--loss", type=str, required=True, help="The target implementation")
parser.add_argument("--device", type=str, required=False, help="The target implementation", default="cuda")
parser.add_argument("--random_length", type=bool, required=False, help="The random length", default=False)
args = parser.parse_args()
if args.loss == "warp-rnnt":
from warp_rnnt import rnnt_loss
def run_loss(xs, ys, xn, yn):
return rnnt_loss(F.log_softmax(xs, -1), ys, xn, yn, gather=False)
elif args.loss == "warp-rnnt-gather":
from warp_rnnt import rnnt_loss
def run_loss(xs, ys, xn, yn):
return rnnt_loss(F.log_softmax(xs, -1), ys, xn, yn, gather=True)
elif args.loss == "warprnnt_pytorch":
from warprnnt_pytorch import rnnt_loss
def run_loss(xs, ys, xn, yn):
return rnnt_loss(xs, ys, xn, yn, reduction='none')
elif args.loss == "Transducer":
from transducer import Transducer
fn = Transducer(blank_label=0)
def run_loss(xs, ys, xn, yn):
return fn.apply(F.log_softmax(xs, dim=-1), ys.view(-1), xn, yn)
else:
raise ValueError("Unknown RNN-T loss")
for E, T, U, V in [(100, 150, 40, 28), (50, 150, 20, 5000), (10, 1500, 300, 50)]:
for N in [1, 16, 32, 64, 128]:
print(f"T={T}\tU={U}\tV={V}\tN={N}\t", end="")
try:
time = run_benchmark(
run_loss,
E=E,
N=N,
T=T,
U=U,
V=V,
random_length=args.random_length,
device=args.device,
)
print(f"time={time:.2f}")
except RuntimeError as e:
print(f"error={e}")
break
print()
| 3,287 | benchmark | py | en | python | code | {"qsc_code_num_words": 449, "qsc_code_num_chars": 3287.0, "qsc_code_mean_word_length": 3.80846325, "qsc_code_frac_words_unique": 0.28062361, "qsc_code_frac_chars_top_2grams": 0.02339181, "qsc_code_frac_chars_top_3grams": 0.03157895, "qsc_code_frac_chars_top_4grams": 0.03274854, "qsc_code_frac_chars_dupe_5grams": 0.23450292, "qsc_code_frac_chars_dupe_6grams": 0.20584795, "qsc_code_frac_chars_dupe_7grams": 0.13918129, "qsc_code_frac_chars_dupe_8grams": 0.13918129, "qsc_code_frac_chars_dupe_9grams": 0.1251462, "qsc_code_frac_chars_dupe_10grams": 0.1251462, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02804161, "qsc_code_frac_chars_whitespace": 0.32735017, "qsc_code_size_file_byte": 3287.0, "qsc_code_num_lines": 103.0, "qsc_code_num_chars_line_max": 112.0, "qsc_code_num_chars_line_mean": 31.91262136, "qsc_code_frac_chars_alphabet": 0.74536409, "qsc_code_frac_chars_comments": 0.01642835, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.16883117, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0879257, "qsc_code_frac_chars_long_word_length": 0.00866873, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.06493506, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.1038961, "qsc_codepython_frac_lines_simplefunc": 0.05194805194805195, "qsc_codepython_score_lines_no_logic": 0.23376623, "qsc_codepython_frac_lines_print": 0.05194805} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1ytic/warp-rna | core.cu | #include "core.h"
#include <stdio.h>
#include <assert.h>
#include <algorithm>
#include <cuda_runtime_api.h>
#include <device_atomic_functions.h>
#include <device_launch_parameters.h>
#define W 32
#define G 1024
#define B 256
__forceinline__ __device__ static int idx2(int n, int u, int U1) {
return n * U1 + u;
}
__forceinline__ __device__ static int idx3(int n, int t, int u, int T, int U) {
return n * (T * U) + t * U + u;
}
__forceinline__ __device__ static int idx4(int n, int t, int u, int v, int T, int U, int V) {
return n * (T * U * V) + t * (U * V) + u * V + v;
}
__forceinline__ __device__ static float log_sum_exp(float a, float b) {
float maximum, diff;
if (a > b) {
maximum = a;
diff = b-a;
} else {
maximum = b;
diff = a-b;
}
//if (diff > -42) {
maximum += log1pf(expf(diff));
//}
return maximum;
}
__device__
void kernel_warp_alphas(unsigned int *counts, volatile float *alphas, const int *labels, const float *log_probs,
const int *xn, const int *yn, int T, int S, int U, int V, int blank) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y + 1;
unsigned int n = blockIdx.z;
unsigned int p = g * W;
unsigned int t = p + d + 1;
assert (d < W);
assert (u <= U);
assert (gridDim.y == U);
assert (blockDim.x == W);
int actual_u = yn[n]+1;
int actual_s = xn[n]-actual_u+2;
if (t > actual_s || u > actual_u)
return;
unsigned int *lock = counts + n * U * 2 + blockIdx.y;
if (blockIdx.x == 0 && blockIdx.y == 0) {
alphas[idx3(n, 0, 0, S, U)] = 0;
}
if (blockIdx.x > 0) {
// Wait previous row
do {} while (atomicAdd(lock, 0) < g);
}
if (blockIdx.y > 0) {
// Wait previous column
do {} while (atomicAdd(lock-1, 0) <= g);
}
if (blockIdx.x == 0 && u < actual_u) {
// Compute initial row value
unsigned int l = labels[idx2(n, u-1, U-1)];
float a = alphas[idx3(n, 0, u-1, S, U)];
float b = log_probs[idx4(n, u-1, u-1, l, T, U, V)];
alphas[idx3(n, 0, u, S, U)] = a + b;
}
if (blockIdx.y == 0 && t < actual_s) {
// Compute initial column with local scan algorithm
float a;
float b = log_probs[idx4(n, t-1, 0, blank, T, U, V)];
#pragma unroll
for(unsigned int i = 1; i < W; i *= 2) {
a = __shfl_up_sync(0xffffffff, b, i);
if (i <= d) {
b += a;
}
}
a = alphas[idx3(n, p, 0, S, U)];
alphas[idx3(n, t, 0, S, U)] = a + b;
}
if (t < actual_s && u < actual_u) {
// Ready to compute alphas[t, u]
unsigned int l = labels[idx2(n, u-1, U-1)];
float bias = log_probs[idx4(n, t+u-1, u, blank, T, U, V)];
float skip = alphas[idx3(n, p, u, S, U)] + bias;
float emit = alphas[idx3(n, t, u-1, S, U)] + log_probs[idx4(n, t+u-1, u-1, l, T, U, V)];
float r = log_sum_exp(skip, emit);
float output = r;
for(unsigned int i = 1; i < W; i++) {
r = __shfl_up_sync(0xffffffff, r, 1);
if (i == d) {
r = log_sum_exp(r + bias, emit);
output = r;
}
}
alphas[idx3(n, t, u, S, U)] = output;
}
if (d == 0) {
// https://stackoverflow.com/a/5233737
__threadfence();
atomicAdd(lock, 1);
}
}
__device__
void kernel_warp_betas(unsigned int *counts, volatile float *betas, const int *labels, const float *log_probs,
const int *xn, const int *yn, int T, int S, int U, int V, int blank) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y + 1;
unsigned int n = blockIdx.z;
unsigned int p = g * W;
unsigned int t = p + d + 1;
assert (d < W);
assert (u <= U);
assert (gridDim.y == U);
assert (blockDim.x == W);
int actual_t = xn[n];
int actual_u = yn[n]+1;
int actual_s = actual_t-actual_u+2;
if (t > actual_s || u > actual_u)
return;
int S1 = actual_s - 1;
int U1 = actual_u - 1;
unsigned int *lock = counts + n * U * 2 + U + blockIdx.y;
if (blockIdx.x == 0 && blockIdx.y == 0) {
betas[idx3(n, S1, U1, S, U)] = 0;
}
if (blockIdx.x > 0) {
// Wait previous row
do {} while (atomicAdd(lock, 0) < g);
}
if (blockIdx.y > 0) {
// Wait previous column
do {} while (atomicAdd(lock-1, 0) <= g);
}
if (blockIdx.x == 0 && u < actual_u) {
// Compute last row value
unsigned int l = labels[idx2(n, U1-u, U-1)];
float a = betas[idx3(n, S1, U1-u+1, S, U)];
float b = log_probs[idx4(n, actual_t-u, U1-u, l, T, U, V)];
betas[idx3(n, S1, U1-u, S, U)] = a + b;
}
if (blockIdx.y == 0 && t < actual_s) {
// Compute last column with local scan algorithm
float a;
float b = log_probs[idx4(n, actual_t-t, U1, blank, T, U, V)];
#pragma unroll
for(unsigned int i = 1; i < W; i *= 2) {
a = __shfl_up_sync(0xffffffff, b, i);
if (i <= d) {
b += a;
}
}
a = betas[idx3(n, S1-p, U1, S, U)];
betas[idx3(n, S1-t, U1, S, U)] = a + b;
}
if (t < actual_s && u < actual_u) {
// Ready to compute betas[S1-t, U1-u]
unsigned int l = labels[idx2(n, U1-u, U-1)];
float bias = log_probs[idx4(n, actual_t-t-u, U1-u, blank, T, U, V)];
float skip = betas[idx3(n, S1-p, U1-u, S, U)] + bias;
float emit = betas[idx3(n, S1-t, U1-u+1, S, U)] + log_probs[idx4(n, actual_t-t-u, U1-u, l, T, U, V)];
float r = log_sum_exp(skip, emit);
float output = r;
for(unsigned int i = 1; i < W; i++) {
r = __shfl_up_sync(0xffffffff, r, 1);
if (i == d) {
r = log_sum_exp(r + bias, emit);
output = r;
}
}
betas[idx3(n, S1-t, U1-u, S, U)] = output;
}
if (d == 0) {
// https://stackoverflow.com/a/5233737
__threadfence();
atomicAdd(lock, 1);
}
}
__global__
void kernel_warp(unsigned int *counts, volatile float *alphas, volatile float *betas, const int *labels, const float *log_probs,
const int *xn, const int *yn, int T, int S, int U, int V, int blank) {
if (threadIdx.y == 0) {
kernel_warp_alphas(counts, alphas, labels, log_probs, xn, yn, T, S, U, V, blank);
}
else if (threadIdx.y == 1) {
kernel_warp_betas(counts, betas, labels, log_probs, xn, yn, T, S, U, V, blank);
}
}
__global__
void kernel_grads_blank(float *grads, const float *alphas, const float *betas, const float *log_probs,
const int *xn, const int *yn, int T, int S, int U, int V, int blank) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y;
unsigned int n = blockIdx.z;
unsigned int t = g * G + d;
assert (u < U);
assert (d < G);
assert (blockDim.x == G);
assert (gridDim.y == U);
int actual_u = yn[n]+1;
int actual_s = xn[n]-actual_u+2;
if (t >= actual_s-1 || u >= actual_u)
return;
float a = alphas[idx3(n, t, u, S, U)];
float b = betas[idx3(n, t+1, u, S, U)];
float log_like = betas[idx3(n, 0, 0, S, U)];
unsigned int index = idx4(n, t+u, u, blank, T, U, V);
grads[index] = -expf(a + b + log_probs[index] - log_like);
}
__global__
void kernel_grads_label(float *grads, const float *alphas, const float *betas,
const int *labels, const float *log_probs,
const int *xn, const int *yn, int T, int S, int U, int V) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y;
unsigned int n = blockIdx.z;
unsigned int t = g * G + d;
assert (u < U - 1);
assert (d < G);
assert (blockDim.x == G);
assert (gridDim.y == U - 1);
int actual_u = yn[n]+1;
int actual_s = xn[n]-actual_u+2;
if (t >= actual_s || u >= actual_u-1)
return;
float a = alphas[idx3(n, t, u, S, U)];
float b = betas[idx3(n, t, u+1, S, U)];
unsigned int l = labels[idx2(n, u, U-1)];
float log_like = betas[idx3(n, 0, 0, S, U)];
unsigned int index = idx4(n, t+u, u, l, T, U, V);
grads[index] = -expf(a + b + log_probs[index] - log_like);
}
__global__
void kernel_fill_costs(float *costs, float *grads, const float *alphas, const float *betas,
const int *xn, const int *yn, int N, int T, int S, int U, int V) {
unsigned int n = blockIdx.x * blockDim.x + threadIdx.x;
if (n >= N)
return;
int u = yn[n];
int t = xn[n]-u;
float a = alphas[idx3(n, t, u, S, U)];
float b = betas[idx3(n, 0, 0, S, U)];
float ratio = fabsf(a - b) / fabsf(fmaxf(a, b));
if (ratio > 0.001) {
printf("\nWARNING: sample %d [%d, %d] has a forward/backward mismatch %f / %f\n",
n, t, u, a, b);
float *g = grads + idx4(n, 0, 0, 0, T, U, V);
for (int i = 0; i < T; ++i) {
for (int j = 0; j < U; ++j) {
for (int v = 0; v < V; ++v, ++g) {
*g = 0;
}
}
}
b = (a + b) / 2.0f;
}
costs[n] = -b;
}
rnaStatus_t run_warp_rna(cudaStream_t stream, unsigned int *counts, float *alphas, float *betas,
const int *labels, const float *log_probs, float *grads, float *costs,
const int *xn, const int *yn, int N, int T, int S, int U, int V, int blank) {
dim3 threads1(W, 2);
dim3 blocks1((S + W - 1) / W, U, N);
kernel_warp <<<blocks1, threads1, 0, stream>>> (counts, alphas, betas, labels, log_probs, xn, yn, T, S, U, V, blank);
if (cudaGetLastError() != cudaSuccess)
return RNA_STATUS_WARP_FAILED;
if (S > 1) {
dim3 blocks2((S - 1 + G - 1) / G, U, N);
kernel_grads_blank <<<blocks2, G, 0, stream>>> (grads, alphas, betas, log_probs, xn, yn, T, S, U, V, blank);
if (cudaGetLastError() != cudaSuccess)
return RNA_STATUS_GRADS_BLANK_FAILED;
}
if (U > 1) {
dim3 blocks3((S + G - 1) / G, U - 1, N);
kernel_grads_label <<<blocks3, G, 0, stream>>> (grads, alphas, betas, labels, log_probs, xn, yn, T, S, U, V);
if (cudaGetLastError() != cudaSuccess)
return RNA_STATUS_GRADS_LABEL_FAILED;
}
dim3 blocks4((N + B - 1) / B, 1, 1);
kernel_fill_costs <<<blocks4, B, 0, stream>>> (costs, grads, alphas, betas, xn, yn, N, T, S, U, V);
if (cudaGetLastError() != cudaSuccess)
return RNA_STATUS_COSTS_FAILED;
return RNA_STATUS_SUCCESS;
} | 10,911 | core | cu | en | cuda | code | {"qsc_code_num_words": 1706, "qsc_code_num_chars": 10911.0, "qsc_code_mean_word_length": 3.20750293, "qsc_code_frac_words_unique": 0.08616647, "qsc_code_frac_chars_top_2grams": 0.08040936, "qsc_code_frac_chars_top_3grams": 0.00712719, "qsc_code_frac_chars_top_4grams": 0.01315789, "qsc_code_frac_chars_dupe_5grams": 0.75182749, "qsc_code_frac_chars_dupe_6grams": 0.72916667, "qsc_code_frac_chars_dupe_7grams": 0.68640351, "qsc_code_frac_chars_dupe_8grams": 0.65369152, "qsc_code_frac_chars_dupe_9grams": 0.63121345, "qsc_code_frac_chars_dupe_10grams": 0.60032895, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.03132235, "qsc_code_frac_chars_whitespace": 0.32700944, "qsc_code_size_file_byte": 10911.0, "qsc_code_num_lines": 395.0, "qsc_code_num_chars_line_max": 129.0, "qsc_code_num_chars_line_mean": 27.62278481, "qsc_code_frac_chars_alphabet": 0.71387716, "qsc_code_frac_chars_comments": 0.03840161, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.44202899, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.00362319, "qsc_code_frac_chars_string_length": 0.00733823, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.00381207, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0615942} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 1, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 1, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1y33/100Days | day14/conv.cu | #include <cuda_runtime.h>
#include <iostream>
#define BLOCK_SIZE 32
#define FILTER_SIZE 5
__global__ void convolutionkernel(float *input, float *output, float *kernel,
int kernel_size, int w, int h)
{
int tx = threadIdx.x, ty = threadIdx.y;
int bx = blockIdx.x, by = blockIdx.y;
int radius = kernel_size / 2;
extern __shared__ float sharedInput[]; // Use dynamic shared memory
__shared__ float sharedFilter[FILTER_SIZE * FILTER_SIZE];
if (tx < kernel_size && ty < kernel_size)
sharedFilter[tx * kernel_size + ty] = kernel[tx + ty * kernel_size];
int inputX = bx * BLOCK_SIZE + tx - radius;
int inputY = by * BLOCK_SIZE + ty - radius;
inputX = max(0, min(w - 1, inputX));
inputY = max(0, min(h - 1, inputY));
sharedInput[ty * (BLOCK_SIZE + radius ) + tx] = input[inputY * w + inputX];
__syncthreads();
if (tx < BLOCK_SIZE && ty < BLOCK_SIZE)
{
float sum = 0.0f;
for (int ky = 0; ky < kernel_size; ky++)
{
for (int kx = 0; kx < kernel_size; kx++)
{
int sx = tx + kx;
int sy = ty + ky;
sum += sharedInput[sy * (BLOCK_SIZE + radius ) + sx] * sharedFilter[ky * kernel_size + kx];
}
}
output[(by * BLOCK_SIZE + ty) * w + (bx * BLOCK_SIZE + tx)] = sum;
}
}
int main()
{
int w = 10;
int h = 10;
int kernel_size = FILTER_SIZE;
float *input = new float[w * h];
float *output = new float[w * h];
float *kernel = new float[kernel_size * kernel_size];
for (int i = 0; i < w * h; ++i)
{
input[i] = 1; // Values from 1 to 25
}
for (int i = 0; i < kernel_size * kernel_size; ++i)
{
kernel[i] = 1.0f;
}
float *d_input, *d_output, *d_kernel;
cudaMalloc((void **)&d_input, w * h * sizeof(float));
cudaMalloc((void **)&d_output, w * h * sizeof(float));
cudaMalloc((void **)&d_kernel, kernel_size * kernel_size * sizeof(float));
cudaMemcpy(d_input, input, w * h * sizeof(float), cudaMemcpyHostToDevice);
cudaMemcpy(d_kernel, kernel, kernel_size * kernel_size * sizeof(float), cudaMemcpyHostToDevice);
dim3 block(BLOCK_SIZE, BLOCK_SIZE);
dim3 grid((w + BLOCK_SIZE - 1) / BLOCK_SIZE, (h + BLOCK_SIZE - 1) / BLOCK_SIZE);
int sharedMemorySize = (BLOCK_SIZE + kernel_size - 1) * (BLOCK_SIZE + kernel_size - 1) * sizeof(float);
convolutionkernel<<<grid, block,sharedMemorySize>>>(d_input, d_output, d_kernel, kernel_size, w, h);
cudaError_t err = cudaGetLastError();
if (err != cudaSuccess)
{
std::cerr << "CUDA kernel error: " << cudaGetErrorString(err) << std::endl;
return -1;
}
cudaMemcpy(output, d_output, w * h * sizeof(float), cudaMemcpyDeviceToHost);
std::cout << "Convolution Result (output):" << std::endl;
for (int i = 0; i < h; ++i)
{
for (int j = 0; j < w; ++j)
{
std::cout << output[i * w + j] << " ";
}
std::cout << std::endl;
}
delete[] input;
delete[] output;
delete[] kernel;
cudaFree(d_input);
cudaFree(d_output);
cudaFree(d_kernel);
return 0;
} | 3,258 | conv | cu | en | cuda | code | {"qsc_code_num_words": 417, "qsc_code_num_chars": 3258.0, "qsc_code_mean_word_length": 4.22541966, "qsc_code_frac_words_unique": 0.20623501, "qsc_code_frac_chars_top_2grams": 0.11918275, "qsc_code_frac_chars_top_3grams": 0.0476731, "qsc_code_frac_chars_top_4grams": 0.04540295, "qsc_code_frac_chars_dupe_5grams": 0.22360953, "qsc_code_frac_chars_dupe_6grams": 0.11123723, "qsc_code_frac_chars_dupe_7grams": 0.0737798, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01484068, "qsc_code_frac_chars_whitespace": 0.29680786, "qsc_code_size_file_byte": 3258.0, "qsc_code_num_lines": 105.0, "qsc_code_num_chars_line_max": 108.0, "qsc_code_num_chars_line_mean": 31.02857143, "qsc_code_frac_chars_alphabet": 0.75425578, "qsc_code_frac_chars_comments": 0.01596071, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.01527908, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1c-syntax/ssl_3_1 | src/cf/Reports/СогласияНаОбработкуПерсональныхДанныхИстекающие/Templates/ОсновнаяСхемаКомпоновкиДанных.xml | <?xml version="1.0" encoding="UTF-8"?>
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</MetaDataObject> | 1,286 | ОсновнаяСхемаКомпоновкиДанных | xml | ru | xml | data | {"qsc_code_num_words": 226, "qsc_code_num_chars": 1286.0, "qsc_code_mean_word_length": 3.99557522, "qsc_code_frac_words_unique": 0.34070796, "qsc_code_frac_chars_top_2grams": 0.09966777, "qsc_code_frac_chars_top_3grams": 0.13289037, "qsc_code_frac_chars_top_4grams": 0.16611296, "qsc_code_frac_chars_dupe_5grams": 0.40642303, "qsc_code_frac_chars_dupe_6grams": 0.40642303, "qsc_code_frac_chars_dupe_7grams": 0.33776301, "qsc_code_frac_chars_dupe_8grams": 0.27021041, "qsc_code_frac_chars_dupe_9grams": 0.05315615, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.08278146, "qsc_code_frac_chars_whitespace": 0.06065319, "qsc_code_size_file_byte": 1286.0, "qsc_code_num_lines": 16.0, "qsc_code_num_chars_line_max": 869.0, "qsc_code_num_chars_line_mean": 80.375, "qsc_code_frac_chars_alphabet": 0.66390728, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 1.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.52021773, "qsc_code_frac_chars_long_word_length": 0.02799378, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 1, "qsc_code_cate_autogen": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0} |
1y33/100Days | day66/kernel.cpp | #include <hip/hip_runtime.h>
#include <cmath>
#include <cstdio>
__device__ inline float gelu(float x) {
const float k0 = 0.7978845608f;
const float k1 = 0.044715f;
float t = tanhf(k0 * (x + k1 * x * x * x));
return 0.5f * x * (1.0f + t);
}
__device__ inline float gelu_grad(float x) {
const float k0 = 0.7978845608f;
const float k1 = 0.044715f;
float t_arg = k0 * (x + k1 * x * x * x);
float t = tanhf(t_arg);
float dt = (1.0f - t * t);
float left = 0.5f * (1.0f + t);
float right = 0.5f * x * k0 * dt * (1.0f + 3.0f * k1 * x * x);
return left + right;
}
extern "C" __global__ void geglu_ffn_forward(
const float* __restrict__ input,
const float* __restrict__ weight,
const float* __restrict__ bias,
float* __restrict__ output,
int batch,
int in_features,
int hidden_features)
{
int b = blockIdx.x;
int h = threadIdx.x;
if (b < batch && h < hidden_features) {
float a_val = 0.0f;
float b_val = 0.0f;
for (int i = 0; i < in_features; i++) {
float x = input[b * in_features + i];
float w_a = weight[i * (2 * hidden_features) + h];
float w_b = weight[i * (2 * hidden_features) + h + hidden_features];
a_val += x * w_a;
b_val += x * w_b;
}
if (bias != nullptr) {
a_val += bias[h];
b_val += bias[h + hidden_features];
}
output[b * hidden_features + h] = a_val * gelu(b_val);
}
}
extern "C" __global__ void geglu_ffn_backward(
const float* __restrict__ input,
const float* __restrict__ weight,
const float* __restrict__ bias,
const float* __restrict__ grad_output,
float* __restrict__ grad_input,
float* __restrict__ grad_weight,
float* __restrict__ grad_bias,
int batch,
int in_features,
int hidden_features)
{
int b_idx = blockIdx.x;
int h = threadIdx.x;
if (b_idx < batch && h < hidden_features) {
float a_val = 0.0f;
float b_val = 0.0f;
for (int i = 0; i < in_features; i++) {
float x = input[b_idx * in_features + i];
a_val += x * weight[i * (2 * hidden_features) + h];
b_val += x * weight[i * (2 * hidden_features) + h + hidden_features];
}
if (bias != nullptr) {
a_val += bias[h];
b_val += bias[h + hidden_features];
}
float dY = grad_output[b_idx * hidden_features + h];
float grad_a = dY * gelu(b_val);
float grad_b = dY * a_val * gelu_grad(b_val);
for (int i = 0; i < in_features; i++) {
float x = input[b_idx * in_features + i];
atomicAdd(&grad_input[b_idx * in_features + i],
grad_a * weight[i * (2 * hidden_features) + h] +
grad_b * weight[i * (2 * hidden_features) + h + hidden_features]);
atomicAdd(&grad_weight[i * (2 * hidden_features) + h], x * grad_a);
atomicAdd(&grad_weight[i * (2 * hidden_features) + h + hidden_features], x * grad_b);
}
if (grad_bias != nullptr) {
atomicAdd(&grad_bias[h], grad_a);
atomicAdd(&grad_bias[h + hidden_features], grad_b);
}
}
}
void launch_geglu_ffn_forward(const float* input, const float* weight, const float* bias,
float* output, int batch, int in_features, int hidden_features)
{
dim3 grid(batch);
dim3 block(hidden_features);
hipLaunchKernelGGL(geglu_ffn_forward, grid, block, 0, 0,
input, weight, bias, output, batch, in_features, hidden_features);
}
void launch_geglu_ffn_backward(const float* input, const float* weight, const float* bias,
const float* grad_output, float* grad_input,
float* grad_weight, float* grad_bias,
int batch, int in_features, int hidden_features)
{
dim3 grid(batch);
dim3 block(hidden_features);
hipLaunchKernelGGL(geglu_ffn_backward, grid, block, 0, 0,
input, weight, bias, grad_output,
grad_input, grad_weight, grad_bias,
batch, in_features, hidden_features);
}
// int main() {
// return 0;
// }
| 4,299 | kernel | cpp | en | cpp | code | {"qsc_code_num_words": 571, "qsc_code_num_chars": 4299.0, "qsc_code_mean_word_length": 3.93870403, "qsc_code_frac_words_unique": 0.117338, "qsc_code_frac_chars_top_2grams": 0.1680747, "qsc_code_frac_chars_top_3grams": 0.06669631, "qsc_code_frac_chars_top_4grams": 0.04979991, "qsc_code_frac_chars_dupe_5grams": 0.67852379, "qsc_code_frac_chars_dupe_6grams": 0.63228101, "qsc_code_frac_chars_dupe_7grams": 0.5940418, "qsc_code_frac_chars_dupe_8grams": 0.54957759, "qsc_code_frac_chars_dupe_9grams": 0.45798133, "qsc_code_frac_chars_dupe_10grams": 0.37883504, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.0308642, "qsc_code_frac_chars_whitespace": 0.32170272, "qsc_code_size_file_byte": 4299.0, "qsc_code_num_lines": 124.0, "qsc_code_num_chars_line_max": 98.0, "qsc_code_num_chars_line_mean": 34.66935484, "qsc_code_frac_chars_alphabet": 0.74039781, "qsc_code_frac_chars_comments": 0.00883926, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.33636364, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00046937, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codecpp_frac_lines_preprocessor_directives": 0.02727273, "qsc_codecpp_frac_lines_func_ratio": 0.11818182, "qsc_codecpp_cate_bitsstdc": 0.0, "qsc_codecpp_nums_lines_main": 0.0, "qsc_codecpp_frac_lines_goto": 0.0, "qsc_codecpp_cate_var_zero": 0.0, "qsc_codecpp_score_lines_no_logic": 0.14545455, "qsc_codecpp_frac_lines_print": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecpp_frac_lines_func_ratio": 0, "qsc_codecpp_nums_lines_main": 0, "qsc_codecpp_score_lines_no_logic": 0, "qsc_codecpp_frac_lines_preprocessor_directives": 0, "qsc_codecpp_frac_lines_print": 0} |
1y33/100Days | day26/gradientdescent.cu | #include <cuda_runtime.h>
#include <iostream>
// CUDA kernel: performs one gradient descent update for a linear regression weight vector.
// It uses the previous weight vector w_old (read-only) to compute predictions and then writes
// the updated weights to w. Each thread computes the gradient and update for one weight.
__global__ void gradientDescentKernel(const float *x, // training features, stored row-major (n x d)
const float *y, // training labels (n)
const float *w_old, // current weight vector (d)
float *w, // output: updated weight vector (d)
float alpha, // learning rate
int n, // number of training examples
int d) // number of features
{
int j = blockIdx.x * blockDim.x + threadIdx.x;
if (j < d)
{
float grad = 0.0f;
for (int i = 0; i < n; i++)
{
float prediction = 0.0f;
for (int k = 0; k < d; k++)
{
prediction += w_old[k] * x[i * d + k];
}
grad += (prediction - y[i]) * x[i * d + j];
}
grad /= n;
w[j] = w_old[j] - alpha * grad;
}
}
int main()
{
int n = 100;
int d = 3;
// the “true” model: y = 1*x0 + 2*x1 + 3*x2.)
float *h_x = new float[n * d];
float *h_y = new float[n];
float *h_w = new float[d];
// compute the data
for (int i = 0; i < n; i++)
{
h_x[i * d + 0] = 1.0f;
h_x[i * d + 1] = 2.0f;
h_x[i * d + 2] = 3.0f;
h_y[i] = 14.0f;
}
// weights
for (int j = 0; j < d; j++)
{
h_w[j] = 1.0f;
}
// Allocate device memory
float *d_x, *d_y, *d_w, *d_w_old;
cudaMalloc((void **)&d_x, n * d * sizeof(float));
cudaMalloc((void **)&d_y, n * sizeof(float));
cudaMalloc((void **)&d_w, d * sizeof(float));
cudaMalloc((void **)&d_w_old, d * sizeof(float));
cudaMemcpy(d_x, h_x, n * d * sizeof(float), cudaMemcpyHostToDevice);
cudaMemcpy(d_y, h_y, n * sizeof(float), cudaMemcpyHostToDevice);
cudaMemcpy(d_w, h_w, d * sizeof(float), cudaMemcpyHostToDevice);
float alpha = 0.01f; // learning rate
int iterations = 10000;
int threadsPerBlock = 256;
int blocksPerGrid = (d + threadsPerBlock - 1) / threadsPerBlock;
for (int iter = 0; iter < iterations; iter++)
{
cudaMemcpy(d_w_old, d_w, d * sizeof(float), cudaMemcpyDeviceToDevice);
gradientDescentKernel<<<blocksPerGrid, threadsPerBlock>>>(d_x, d_y, d_w_old, d_w, alpha, n, d);
cudaDeviceSynchronize();
}
cudaMemcpy(h_w, d_w, d * sizeof(float), cudaMemcpyDeviceToHost);
std::cout << "Learned weights:" << std::endl;
for (int j = 0; j < d; j++)
{
std::cout << "w[" << j << "] = " << h_w[j] << std::endl;
}
cudaFree(d_x);
cudaFree(d_y);
cudaFree(d_w);
cudaFree(d_w_old);
delete[] h_x;
delete[] h_y;
delete[] h_w;
return 0;
}
| 3,161 | gradientdescent | cu | en | cuda | code | {"qsc_code_num_words": 421, "qsc_code_num_chars": 3161.0, "qsc_code_mean_word_length": 3.72209026, "qsc_code_frac_words_unique": 0.25653207, "qsc_code_frac_chars_top_2grams": 0.01531589, "qsc_code_frac_chars_top_3grams": 0.05360562, "qsc_code_frac_chars_top_4grams": 0.03318443, "qsc_code_frac_chars_dupe_5grams": 0.17932355, "qsc_code_frac_chars_dupe_6grams": 0.08806637, "qsc_code_frac_chars_dupe_7grams": 0.02807913, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02281553, "qsc_code_frac_chars_whitespace": 0.3483075, "qsc_code_size_file_byte": 3161.0, "qsc_code_num_lines": 98.0, "qsc_code_num_chars_line_max": 105.0, "qsc_code_num_chars_line_mean": 32.25510204, "qsc_code_frac_chars_alphabet": 0.73786408, "qsc_code_frac_chars_comments": 0.19107877, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.05714286, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00860383, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1ytic/warp-rna | pytorch_binding/binding.cpp | #include <tuple>
#include <string>
#include <THC/THC.h>
#include <torch/types.h>
#include <torch/extension.h>
#include "core.h"
#ifndef TORCH_CHECK
#define TORCH_CHECK AT_CHECK
#endif
#define CHECK_CONTIGUOUS(x) \
TORCH_CHECK((x).is_contiguous(), \
#x " must be contiguous")
#define CHECK_CUDA(x) \
TORCH_CHECK((x).device().is_cuda(), \
#x " must be located in the CUDA")
#define CHECK_FLOAT(x) \
TORCH_CHECK((x).type().scalarType() == at::ScalarType::Float, \
#x " must be a Float tensor")
#define CHECK_INT(x) \
TORCH_CHECK((x).type().scalarType() == at::ScalarType::Int, \
#x " must be a Int tensor")
std::tuple<at::Tensor, at::Tensor> rna_loss(
const at::Tensor& xs, const at::Tensor& ys,
const at::Tensor& xn, const at::Tensor& yn,
const int blank) {
// Check contiguous
CHECK_CONTIGUOUS(xs);
CHECK_CONTIGUOUS(ys);
CHECK_CONTIGUOUS(xn);
CHECK_CONTIGUOUS(yn);
// Check types
CHECK_FLOAT(xs);
CHECK_INT(ys);
CHECK_INT(xn);
CHECK_INT(yn);
// Check device
CHECK_CUDA(xs);
CHECK_CUDA(ys);
CHECK_CUDA(xn);
CHECK_CUDA(yn);
// Check number of dimensions and elements
TORCH_CHECK(xs.dim() == 4, "xs must have 4 dimensions")
TORCH_CHECK(xn.numel() == xs.size(0), "xn shape must be equal (N,)")
TORCH_CHECK(yn.numel() == xs.size(0), "yn shape must be equal (N,)")
TORCH_CHECK(xs.size(2) == ys.size(1) + 1, "ys shape (N, U-1) mismatched with xs (N, T, U, V)")
const auto N = xs.size(0);
const auto T = xs.size(1);
const auto U = xs.size(2);
const auto V = xs.size(3);
const auto S = T - yn.min().item().toInt() + 1;
at::Tensor grads = at::zeros_like(xs);
at::TensorOptions buffer_opts(xs.device());
at::TensorOptions counts_opts(xs.device());
at::TensorOptions costs_opts(xs.device());
counts_opts = counts_opts.dtype(at::ScalarType::Int);
buffer_opts = buffer_opts.dtype(at::ScalarType::Float);
costs_opts = costs_opts.dtype(at::ScalarType::Float);
auto counts_shape = {N, U * 2};
auto buffer_shape = {N, S, U};
auto costs_shape = {N};
torch::Tensor costs = torch::empty(costs_shape, costs_opts);
at::Tensor counts = at::zeros(counts_shape, counts_opts);
at::Tensor alphas = at::empty(buffer_shape, buffer_opts);
at::Tensor betas = at::empty(buffer_shape, buffer_opts);
auto stream = at::cuda::getCurrentCUDAStream(xs.device().index());
auto status = run_warp_rna(stream,
(unsigned int *)counts.data<int>(),
alphas.data<float>(), betas.data<float>(),
ys.data<int>(), xs.data<float>(),
grads.data<float>(), costs.data<float>(),
xn.data<int>(), yn.data<int>(),
N, T, S, U, V, blank
);
TORCH_CHECK(status == RNA_STATUS_SUCCESS, "rna_loss status " + std::to_string(status));
return std::make_tuple(costs, grads);
}
PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
m.def(
"rna_loss",
&rna_loss,
"CUDA-Warp Recurrent Neural Aligner loss (forward and backward).",
pybind11::arg("xs"),
pybind11::arg("ys"),
pybind11::arg("xn"),
pybind11::arg("yn"),
pybind11::arg("blank") = 0
);
} | 3,485 | binding | cpp | en | cpp | code | {"qsc_code_num_words": 465, "qsc_code_num_chars": 3485.0, "qsc_code_mean_word_length": 4.17634409, "qsc_code_frac_words_unique": 0.2172043, "qsc_code_frac_chars_top_2grams": 0.05664264, "qsc_code_frac_chars_top_3grams": 0.02265705, "qsc_code_frac_chars_top_4grams": 0.02471679, "qsc_code_frac_chars_dupe_5grams": 0.15036045, "qsc_code_frac_chars_dupe_6grams": 0.09577755, "qsc_code_frac_chars_dupe_7grams": 0.0669413, "qsc_code_frac_chars_dupe_8grams": 0.03913491, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01055925, "qsc_code_frac_chars_whitespace": 0.26628407, "qsc_code_size_file_byte": 3485.0, "qsc_code_num_lines": 110.0, "qsc_code_num_chars_line_max": 99.0, "qsc_code_num_chars_line_mean": 31.68181818, "qsc_code_frac_chars_alphabet": 0.74892452, "qsc_code_frac_chars_comments": 0.02697274, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.02380952, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.01190476, "qsc_code_frac_chars_string_length": 0.09581368, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codecpp_frac_lines_preprocessor_directives": 0.1547619, "qsc_codecpp_frac_lines_func_ratio": 0.08333333, "qsc_codecpp_cate_bitsstdc": 0.0, "qsc_codecpp_nums_lines_main": 0.0, "qsc_codecpp_frac_lines_goto": 0.0, "qsc_codecpp_cate_var_zero": 0.0, "qsc_codecpp_score_lines_no_logic": 0.1547619, "qsc_codecpp_frac_lines_print": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecpp_frac_lines_func_ratio": 0, "qsc_codecpp_nums_lines_main": 0, "qsc_codecpp_score_lines_no_logic": 0, "qsc_codecpp_frac_lines_preprocessor_directives": 0, "qsc_codecpp_frac_lines_print": 0} |
1c-syntax/ssl_3_1 | src/cf/Reports/СогласияНаОбработкуПерсональныхДанныхИстекающие/Ext/Help/ru.html | <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"><html><head><meta content="text/html;charset=utf-8" http-equiv="content-type"></meta><link rel="stylesheet" type="text/css" href="v8help://service_book/service_style"></link><meta name="GENERATOR" content="MSHTML 9.00.8112.16421"></meta></head><body>
<p>Предназначен для контроля сроков действия согласий на обработку ПДн.</p>
<p>Отображается список согласий, срок действия которых попадает в выбранный период. </p>
<p>Можно отобрать согласия, срок действия которых истекает, например, в <strong>Следующем квартале</strong>.</p>
<p>Производится отбор по организации. </p>
<p>Отражаются поля:</p>
<ul><li><strong>Субъект</strong>;
</li>
<li>документ, на основании которого прекращается срок действия (<a href="Document.СогласиеНаОбработкуПерсональныхДанных/Help">согласие на обработку ПДн</a> или <a href="Document.ОтзывСогласияНаОбработкуПерсональныхДанных/Help">отзыв согласия</a>);
</li>
<li><strong>Организация</strong>;
</li>
<li><strong>Дата получения</strong>;
</li>
<li><strong>Срок действия</strong>.</li></ul><a name="СтандартныеПодсистемы.Варианты отчетов">
</a>
<p><a name="СтандартныеПодсистемы.Варианты отчетов">При необходимости (если документов слишком много) можно </a><a href="CommonForm.ФормаНастроекОтчета/Help">настроить</a> более жесткие условия отбора с помощью кнопки <strong>Настройки</strong>.</p>
<h3>См. также:</h3>
<ul><a name="СтандартныеПодсистемы.Варианты отчетов">
</a>
<li><a name="СтандартныеПодсистемы.Варианты отчетов"></a><a href="CommonForm.ФормаНастроекОтчета/Help">Работа с отчетами</a>.</li></ul></body></html> | 1,618 | ru | html | ru | html | code | {"qsc_code_num_words": 219, "qsc_code_num_chars": 1618.0, "qsc_code_mean_word_length": 5.56164384, "qsc_code_frac_words_unique": 0.51141553, "qsc_code_frac_chars_top_2grams": 0.00656814, "qsc_code_frac_chars_top_3grams": 0.08538588, "qsc_code_frac_chars_top_4grams": 0.11165846, "qsc_code_frac_chars_dupe_5grams": 0.20361248, "qsc_code_frac_chars_dupe_6grams": 0.16995074, "qsc_code_frac_chars_dupe_7grams": 0.07224959, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.0126498, "qsc_code_frac_chars_whitespace": 0.07169345, "qsc_code_size_file_byte": 1618.0, "qsc_code_num_lines": 21.0, "qsc_code_num_chars_line_max": 314.0, "qsc_code_num_chars_line_mean": 77.04761905, "qsc_code_frac_chars_alphabet": 0.7976032, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.28571429, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.29975278, "qsc_code_frac_chars_long_word_length": 0.21940667, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codehtml_cate_ast": 1.0, "qsc_codehtml_frac_words_text": 0.38195303, "qsc_codehtml_num_chars_text": 618.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_codehtml_cate_ast": 0, "qsc_codehtml_frac_words_text": 0, "qsc_codehtml_num_chars_text": 0} |
1y33/100Days | day19/cublasMM.cu | #include <iostream>
#include <cuda_runtime.h>
#include <cublas_v2.h>
#include <cassert>
#define CHECK_CUDA_CALL(x) \
if ((x) != cudaSuccess) \
{ \
std::cerr << "CUDA error: " << cudaGetErrorString(cudaGetLastError()) << std::endl; \
exit(1); \
}
#define CHECK_CUBLAS_CALL(x) \
if ((x) != CUBLAS_STATUS_SUCCESS) \
{ \
std::cerr << "cuBLAS error!" << std::endl; \
exit(1); \
}
__global__ void softmax_kernel(float *matrix, int rows, int cols)
{
int row = blockIdx.x * blockDim.x + threadIdx.x;
if (row < rows)
{
float max_val = -INFINITY;
for (int i = 0; i < cols; i++)
{
max_val = fmaxf(max_val, matrix[row * cols + i]);
}
float sum = 0.0f;
for (int i = 0; i < cols; i++)
{
matrix[row * cols + i] = expf(matrix[row * cols + i] - max_val);
sum += matrix[row * cols + i];
}
for (int i = 0; i < cols; i++)
{
matrix[row * cols + i] /= sum;
}
}
}
void self_attention(cublasHandle_t handle, float *d_q, float *d_k, float *d_v,
float *d_output, int batch_size, int seq_len, int dim)
{
float alpha = 1.0f, beta = 0.0f;
float *d_qkt;
CHECK_CUDA_CALL(cudaMalloc(&d_qkt, batch_size * seq_len * seq_len * sizeof(float)));
CHECK_CUBLAS_CALL(cublasSgemm(handle, CUBLAS_OP_N, CUBLAS_OP_T,
seq_len, seq_len, dim, &alpha,
d_q, seq_len, d_k, seq_len,
&beta, d_qkt, seq_len));
softmax_kernel<<<(seq_len + 255) / 256, 256>>>(d_qkt, seq_len, seq_len);
CHECK_CUDA_CALL(cudaDeviceSynchronize());
CHECK_CUBLAS_CALL(cublasSgemm(handle, CUBLAS_OP_N, CUBLAS_OP_N,
seq_len, dim, seq_len, &alpha,
d_qkt, seq_len, d_v, seq_len,
&beta, d_output, seq_len));
cudaFree(d_qkt);
}
int main()
{
cublasHandle_t handle;
CHECK_CUBLAS_CALL(cublasCreate(&handle));
int batch_size = 1, seq_len = 4, dim = 8;
float *d_q, *d_k, *d_v, *d_output;
CHECK_CUDA_CALL(cudaMalloc(&d_q, batch_size * seq_len * dim * sizeof(float)));
CHECK_CUDA_CALL(cudaMalloc(&d_k, batch_size * seq_len * dim * sizeof(float)));
CHECK_CUDA_CALL(cudaMalloc(&d_v, batch_size * seq_len * dim * sizeof(float)));
CHECK_CUDA_CALL(cudaMalloc(&d_output, batch_size * seq_len * dim * sizeof(float)));
float h_q[32] = {2,213,41,234,1312,334,123,41};
float h_k[32] = {3};
float h_v[32] = {4};
CHECK_CUDA_CALL(cudaMemcpy(d_q, h_q, 32 * sizeof(float), cudaMemcpyHostToDevice));
CHECK_CUDA_CALL(cudaMemcpy(d_k, h_k, 32 * sizeof(float), cudaMemcpyHostToDevice));
CHECK_CUDA_CALL(cudaMemcpy(d_v, h_v, 32 * sizeof(float), cudaMemcpyHostToDevice));
self_attention(handle, d_q, d_k, d_v, d_output, batch_size, seq_len, dim);
float h_output[32];
CHECK_CUDA_CALL(cudaMemcpy(h_output, d_output, 32 * sizeof(float), cudaMemcpyDeviceToHost));
std::cout << "Attention Output: " << std::endl;
for (int i = 0; i < 32; i++)
{
std::cout << h_output[i] << " ";
}
std::cout << std::endl;
cudaFree(d_q);
cudaFree(d_k);
cudaFree(d_v);
cudaFree(d_output);
cublasDestroy(handle);
return 0;
}
| 3,794 | cublasMM | cu | en | cuda | code | {"qsc_code_num_words": 466, "qsc_code_num_chars": 3794.0, "qsc_code_mean_word_length": 3.89270386, "qsc_code_frac_words_unique": 0.19957082, "qsc_code_frac_chars_top_2grams": 0.07276736, "qsc_code_frac_chars_top_3grams": 0.07883131, "qsc_code_frac_chars_top_4grams": 0.04961411, "qsc_code_frac_chars_dupe_5grams": 0.33351709, "qsc_code_frac_chars_dupe_6grams": 0.28886439, "qsc_code_frac_chars_dupe_7grams": 0.28886439, "qsc_code_frac_chars_dupe_8grams": 0.25192944, "qsc_code_frac_chars_dupe_9grams": 0.23759647, "qsc_code_frac_chars_dupe_10grams": 0.17254686, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02761748, "qsc_code_frac_chars_whitespace": 0.36056932, "qsc_code_size_file_byte": 3794.0, "qsc_code_num_lines": 108.0, "qsc_code_num_chars_line_max": 97.0, "qsc_code_num_chars_line_mean": 35.12962963, "qsc_code_frac_chars_alphabet": 0.72011542, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.07954545, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.01159726, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.01136364} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1ytic/warp-rnnt | pytorch_binding/core_compact.cu | #include "core.h"
#include <algorithm>
#include <assert.h>
#include <cuda_runtime_api.h>
#include <device_atomic_functions.h>
#include <device_launch_parameters.h>
#define G 1024
#define WL 512
#define B 256
#define W 32
#define H 16
__forceinline__ __device__ static float logaddexpf(float a, float b) {
float const tmp = a - b;
if (a == b)
return (float)(a + M_LN2);
if (tmp > 0)
return a + log1pf(expf(-tmp));
else if (tmp <= 0)
return b + log1pf(expf(tmp));
// in case of overflow
return tmp;
}
__global__ void
kernel_warp_alphas_compact(unsigned int *counts, volatile float *alphas,
const float *log_probs, const unsigned int *xn,
const unsigned int *yn, const unsigned int *memPref,
const unsigned int *labelPref) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y + 1;
unsigned int n = blockIdx.z;
unsigned int p = g * W;
unsigned int t = p + d + 1;
unsigned int actual_t = xn[n];
unsigned int actual_u = yn[n] + 1;
if (t > actual_t || u > actual_u)
return;
unsigned int mem_loc = memPref[n];
unsigned int mem_beg = mem_loc << 1;
unsigned int *lock = counts + ((labelPref[n] + n) << 1) + blockIdx.y;
if (blockIdx.x == 0 && blockIdx.y == 0) {
// initialize the state as log(p) = 0.
// alphas[n, 0, 0] = 0;
alphas[mem_loc] = 0.0f;
}
if (blockIdx.x > 0) {
// Wait previous row
do {
} while (atomicAdd(lock, 0) < g);
}
if (blockIdx.y > 0) {
// Wait previous column
do {
} while (atomicAdd(lock - 1, 0) <= g);
}
if (blockIdx.x == 0 && u < actual_u) {
// Compute initial row value
// a = alphas[n, 0, u-1]
float a = alphas[mem_loc + u - 1];
// b = log_probs[n, 0, u-1, 1]
float b = log_probs[mem_beg + (u << 1) -
1]; // should be [mem_beg + 2 * (u-1) +
// 1] in a more readable manner.
// alphas[n, 0, u] = a + b
alphas[mem_loc + u] = a + b;
}
if (blockIdx.y == 0 && t < actual_t) {
// Compute initial column with local scan algorithm
float a;
// b = log_probs[n, t-1, 0, 0]
float b = log_probs[mem_beg + ((t - 1) * actual_u << 1)];
#pragma unroll
for (unsigned int i = 1; i < W; i *= 2) {
a = __shfl_up_sync(0xffffffff, b, i);
if (i <= d) {
b += a;
}
}
// a = alphas[n, p, 0]
a = alphas[mem_loc + p * actual_u];
// alphas[n, t, 0] = a + b;
alphas[mem_loc + t * actual_u] = a + b;
}
if (t < actual_t && u < actual_u) {
// Ready to compute alphas[t, u]
// bias = log_probs[n, t-1, u, 0]
float bias = log_probs[mem_beg + (((t - 1) * actual_u + u) << 1)];
// skip = alphas[n, p, u] + bias
float skip = alphas[mem_loc + p * actual_u + u] + bias;
// emit = alphas[n, t, u-1] + log_probs[n, t, u-1, 1]
float emit = alphas[mem_loc + t * actual_u + u - 1] +
log_probs[mem_beg + ((t * actual_u + u) << 1) - 1];
float r = logaddexpf(skip, emit);
float output = r;
for (unsigned int i = 1; i < W; i++) {
r = __shfl_up_sync(0xffffffff, r, 1);
if (i == d) {
r = logaddexpf(r + bias, emit);
output = r;
}
}
// alphas[n, t, u] = output
alphas[mem_loc + t * actual_u + u] = output;
}
if (d == 0) {
// https://stackoverflow.com/a/5233737
__threadfence();
atomicAdd(lock, 1);
}
}
__global__ void
kernel_warp_betas_compact(unsigned int *counts, volatile float *betas,
const float *log_probs, const unsigned int *xn,
const unsigned int *yn, const unsigned int *memPref,
const unsigned int *labelPref) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y + 1;
unsigned int n = blockIdx.z;
unsigned int p = g * W;
unsigned int t = p + d + 1;
assert(d < W);
assert(blockDim.x == W);
unsigned int actual_t = xn[n];
unsigned int actual_u = yn[n] + 1;
if (t > actual_t || u > actual_u)
return;
// int T1 = actual_t - 1;
// int U1 = actual_u - 1;
unsigned int _val = actual_t * actual_u - u;
unsigned int _valm1 = _val - 1;
unsigned int mem_loc = memPref[n];
unsigned int mem_beg = mem_loc << 1;
unsigned int *lock =
counts + ((labelPref[n] + n) << 1) + actual_u + blockIdx.y;
if (blockIdx.x == 0 && blockIdx.y == 0) {
// betas[n, T1, U1] = log_probs[n, T1, U1, 0]
betas[mem_loc + _valm1 + u] = log_probs[mem_beg + ((_valm1 + u) << 1)];
}
if (blockIdx.x > 0) {
// Wait previous row
do {
} while (atomicAdd(lock, 0) < g);
}
if (blockIdx.y > 0) {
// Wait previous column
do {
} while (atomicAdd(lock - 1, 0) <= g);
}
if (blockIdx.x == 0 && u < actual_u) {
// Compute last row value
// a = betas[n, T1, U1-u+1]
float a = betas[mem_loc + _val];
// b = log_probs[n, T1, U1-u, 1]
float b = log_probs[mem_beg + (_val << 1) - 1];
// betas[n, T1, U1-u] = a + b
betas[mem_loc + _valm1] = a + b;
}
if (blockIdx.y == 0 && t < actual_t) {
// Compute last column with local scan algorithm
float a;
// b = log_probs[n, T1-t, U1, 0]
float b = log_probs[mem_beg + ((_valm1 + u - t * actual_u) << 1)];
#pragma unroll
for (unsigned int i = 1; i < W; i *= 2) {
a = __shfl_up_sync(0xffffffff, b, i);
if (i <= d) {
b += a;
}
}
// a = betas[n, T1-p, U1]
a = betas[mem_loc + _valm1 + u - p * actual_u];
// betas[n, T1 - t, U1] = a + b;
betas[mem_loc + _valm1 + u - t * actual_u] = a + b;
}
if (t < actual_t && u < actual_u) {
// Ready to compute betas[T1-t, U1-u]
// bias = log_probs[n, T1 - t, U1 - u, 0];
float bias = log_probs[mem_beg + ((_valm1 - t * actual_u) << 1)];
// skip = betas[n, T1 - p, U1 - u] + bias;
float skip = betas[mem_loc + _valm1 - p * actual_u] + bias;
// emit = betas[n, T1 - t, U1 - u + 1] + log_probs[n, T1 - t, U1 - u,
// 1];
float emit = betas[mem_loc + _val - t * actual_u] +
log_probs[mem_beg + ((_val - t * actual_u) << 1) - 1];
float r = logaddexpf(skip, emit);
float output = r;
for (unsigned int i = 1; i < W; i++) {
r = __shfl_up_sync(0xffffffff, r, 1);
if (i == d) {
r = logaddexpf(r + bias, emit);
output = r;
}
}
// betas[n, T1 - t, U1 - u] = output;
betas[mem_loc + _valm1 - t * actual_u] = output;
}
if (d == 0) {
// https://stackoverflow.com/a/5233737
__threadfence();
atomicAdd(lock, 1);
}
}
__global__ void kernel_grads_blank_compact(float *grads, const float *alphas,
const float *betas,
const float *log_probs,
const unsigned int *xn,
const unsigned int *yn,
const unsigned int *memPref) {
unsigned int u = blockIdx.y;
unsigned int n = blockIdx.z;
unsigned int t = blockIdx.x * blockDim.x + threadIdx.x;
unsigned int tmax = xn[n] - 1;
unsigned int actual_u = yn[n] + 1;
if (t > tmax || u >= actual_u)
return;
if (t == tmax && u < actual_u - 1) {
grads[(memPref[n] + t * actual_u + u) << 1] = 0.0f;
return;
}
unsigned int mem_loc = memPref[n];
// a = alphas[n, t, u];
float a = alphas[mem_loc + t * actual_u + u];
if (t < tmax) {
// a += betas[n, t + 1, u];
a += betas[mem_loc + (t + 1) * actual_u + u];
}
// index = (n, t, u, 0);
unsigned int index = (mem_loc + (t * actual_u + u)) << 1;
// -expf(a + log_probs[index] - betas[n, 0, 0]);
grads[index] = -expf(a + log_probs[index] - betas[mem_loc]);
}
__global__ void kernel_grads_label_compact(
float *grads, const float *alphas, const float *betas,
const float *log_probs, const unsigned int *xn, const unsigned int *yn,
const unsigned int *memPref, const unsigned int *labelPref,
float fastemit_lambda) {
unsigned int u = blockIdx.y;
unsigned int n = blockIdx.z;
unsigned int t = blockIdx.x * blockDim.x + threadIdx.x;
if (t >= xn[n] || u > yn[n])
return;
if (u == yn[n]) {
grads[((memPref[n] + t * (u + 1) + u) << 1) + 1] = 0.0f;
return;
}
unsigned int mem_loc = memPref[n];
unsigned int mem_beg = mem_loc << 1;
unsigned int _index = t * (yn[n] + 1) + u;
// a = alphas[n, t, u] + betas[n, t, u + 1];
float a = alphas[mem_loc + _index] + betas[mem_loc + _index + 1];
// index = (n, t, u, 1);
unsigned int index = mem_beg + (_index << 1) + 1;
// a = expf(a + log_probs[index] - betas[n, 0, 0]);
a = expf(a + log_probs[index] - betas[mem_loc]);
// apply FastEmit regularization
// https://arxiv.org/abs/2010.11148
a = (1. + fastemit_lambda) * a;
grads[index] = -a;
}
__global__ void kernel_fill_costs_compact(float *costs, const float *betas,
const unsigned int *memPref,
unsigned int N) {
unsigned int n = blockIdx.x * blockDim.x + threadIdx.x;
if (n >= N)
return;
// b = betas[n, 0, 0]
costs[n] = -betas[memPref[n]];
}
void run_warp_rnnt_compact(unsigned int *counts, float *alphas, float *betas,
const float *log_probs, float *grads, float *costs,
const unsigned int *xn, const unsigned int *yn,
const unsigned int *memPref,
const unsigned int *labelPref, unsigned int N,
unsigned int T, unsigned int U,
float fastemit_lambda, bool required_grad) {
dim3 threads1(W);
dim3 blocks1((T + W - 1) / W, U, N);
// if not require grad, cal beta only, useful in inference mode
kernel_warp_betas_compact<<<blocks1, threads1>>>(
counts, betas, log_probs, xn, yn, memPref, labelPref);
CHECK_KERNEL_STAT("rnnt loss compact betas");
dim3 blocks4((N + B - 1) / B, 1, 1);
kernel_fill_costs_compact<<<blocks4, B>>>(costs, betas, memPref, N);
CHECK_KERNEL_STAT("rnnt loss compact filling costs")
if (required_grad) {
kernel_warp_alphas_compact<<<blocks1, threads1>>>(
counts, alphas, log_probs, xn, yn, memPref, labelPref);
CHECK_KERNEL_STAT("rnnt loss compact alphas")
dim3 blocks2((T + G - 1) / G, U, N);
kernel_grads_blank_compact<<<blocks2, G>>>(grads, alphas, betas,
log_probs, xn, yn, memPref);
CHECK_KERNEL_STAT("rnnt loss compact computing gradients for blank")
if (U > 1) {
dim3 blocks3((T + G - 1) / G, U - 1, N);
kernel_grads_label_compact<<<blocks3, G>>>(
grads, alphas, betas, log_probs, xn, yn, memPref, labelPref,
fastemit_lambda);
CHECK_KERNEL_STAT(
"rnnt loss compact computing gradients for labels")
}
}
return;
}
__global__ void kernel_fill_gather(const float *xs, const int *ys,
const unsigned int *xn,
const unsigned int *yn, float *gather_xs,
long *loc, const unsigned int *memPref,
const unsigned int *labelPref,
unsigned int V, unsigned int blank) {
unsigned int t = blockIdx.x * W + threadIdx.x;
unsigned int u = blockIdx.y * H + threadIdx.y;
unsigned int n = blockIdx.z;
unsigned int actual_t = xn[n];
unsigned int actual_u = yn[n] + 1;
if (t >= actual_t || u >= actual_u)
return;
unsigned int mem_loc = memPref[n];
// l = ys(n, u)
unsigned int _index = mem_loc + t * actual_u + u;
float *ptr_gather = gather_xs + (_index << 1);
// gather_xs(n, t, u, 0) = xs(n, t, u, blank)
*(ptr_gather++) = xs[_index * V + blank];
unsigned int l;
if (u == yn[n]) {
// last row
l = blank;
} else {
l = ys[labelPref[n] + u];
}
loc[_index] = l;
// gather_xs(n, t, u, 1) = xs(n, t, u, l)
*ptr_gather = xs[_index * V + l];
}
void run_gather_for_compact(const float *xs, const int *ys,
const unsigned int *xn, const unsigned int *yn,
float *gather_xs, long *loc,
const unsigned int *memPref,
const unsigned int *labelPref, unsigned int N,
unsigned int T, unsigned int U, unsigned int V,
unsigned int blank) {
dim3 threads(W, H);
dim3 blocks((T + W - 1) / W, (U + H - 1) / H, N);
kernel_fill_gather<<<blocks, threads>>>(xs, ys, xn, yn, gather_xs, loc,
memPref, labelPref, V, blank);
CHECK_KERNEL_STAT("rnnt loss gather for compact")
return;
}
__global__ void kernel_fill_scatter_grad(const float *grad_cost,
const float *gather_grad,
const long *loc, const int *cum_lens,
float *scatter_grad, unsigned int STU,
unsigned int V, unsigned int N,
unsigned int blank) {
unsigned int i = (blockIdx.y * gridDim.x + blockIdx.x) * W + threadIdx.x;
if (i >= STU)
return;
// must be signed int
int l = 0;
int r = N - 1;
// we need to clarify which batch the thread-i belongs to.
unsigned int n;
while (l <= r) {
n = l + (r - l) / 2;
if (i >= cum_lens[n]) {
l = n + 1;
} else {
r = n - 1;
}
}
n = l;
scatter_grad[i * V + blank] = gather_grad[i << 1] * grad_cost[n];
if (loc[i] != blank)
scatter_grad[i * V + loc[i]] = gather_grad[(i << 1) + 1] * grad_cost[n];
}
void run_scatter_grad_for_compact(const float *grad_cost,
const float *gather_grad, const long *loc,
const int *cum_lens, float *scatter_grad,
unsigned int STU, unsigned int N,
unsigned int V, unsigned int blank) {
dim3 threads(W);
// avoid dim-x to be too large
dim3 blocks(((W + STU - 1) / W + W - 1) / W, W);
kernel_fill_scatter_grad<<<blocks, threads>>>(
grad_cost, gather_grad, loc, cum_lens, scatter_grad, STU, V, N, blank);
CHECK_KERNEL_STAT("rnnt loss filling scatter grad")
return;
}
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1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/bootstrap-select/bootstrap-select.min.css | /*!
* Bootstrap-select v1.13.18 (https://developer.snapappointments.com/bootstrap-select)
*
* Copyright 2012-2020 SnapAppointments, LLC
* Licensed under MIT (https://github.com/snapappointments/bootstrap-select/blob/master/LICENSE)
*/@-webkit-keyframes bs-notify-fadeOut{0%{opacity:.9}100%{opacity:0}}@-o-keyframes bs-notify-fadeOut{0%{opacity:.9}100%{opacity:0}}@keyframes 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.dropdown-menu li.disabled a{cursor:not-allowed}.bootstrap-select .dropdown-menu li a{cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none}.bootstrap-select .dropdown-menu li a.opt{position:relative;padding-left:2.25em}.bootstrap-select .dropdown-menu li a span.check-mark{display:none}.bootstrap-select .dropdown-menu li a span.text{display:inline-block}.bootstrap-select .dropdown-menu li small{padding-left:.5em}.bootstrap-select .dropdown-menu .notify{position:absolute;bottom:5px;width:96%;margin:0 2%;min-height:26px;padding:3px 5px;background:#f5f5f5;border:1px solid #e3e3e3;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.05);box-shadow:inset 0 1px 1px rgba(0,0,0,.05);pointer-events:none;opacity:.9;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}.bootstrap-select .dropdown-menu .notify.fadeOut{-webkit-animation:.3s linear 750ms forwards bs-notify-fadeOut;-o-animation:.3s linear 750ms forwards bs-notify-fadeOut;animation:.3s linear 750ms forwards bs-notify-fadeOut}.bootstrap-select .no-results{padding:3px;background:#f5f5f5;margin:0 5px;white-space:nowrap}.bootstrap-select.fit-width .dropdown-toggle .filter-option{position:static;display:inline;padding:0}.bootstrap-select.fit-width .dropdown-toggle .filter-option-inner,.bootstrap-select.fit-width .dropdown-toggle .filter-option-inner-inner{display:inline}.bootstrap-select.fit-width .dropdown-toggle .bs-caret:before{content:'\00a0'}.bootstrap-select.fit-width .dropdown-toggle .caret{position:static;top:auto;margin-top:-1px}.bootstrap-select.show-tick .dropdown-menu .selected span.check-mark{position:absolute;display:inline-block;right:15px;top:5px}.bootstrap-select.show-tick .dropdown-menu li a span.text{margin-right:34px}.bootstrap-select .bs-ok-default:after{content:'';display:block;width:.5em;height:1em;border-style:solid;border-width:0 .26em .26em 0;-webkit-transform-style:preserve-3d;transform-style:preserve-3d;-webkit-transform:rotate(45deg);-ms-transform:rotate(45deg);-o-transform:rotate(45deg);transform:rotate(45deg)}.bootstrap-select.show-menu-arrow.open>.dropdown-toggle,.bootstrap-select.show-menu-arrow.show>.dropdown-toggle{z-index:1061}.bootstrap-select.show-menu-arrow .dropdown-toggle .filter-option:before{content:'';border-left:7px solid transparent;border-right:7px solid transparent;border-bottom:7px solid rgba(204,204,204,.2);position:absolute;bottom:-4px;left:9px;display:none}.bootstrap-select.show-menu-arrow .dropdown-toggle .filter-option:after{content:'';border-left:6px solid transparent;border-right:6px solid transparent;border-bottom:6px solid #fff;position:absolute;bottom:-4px;left:10px;display:none}.bootstrap-select.show-menu-arrow.dropup .dropdown-toggle .filter-option:before{bottom:auto;top:-4px;border-top:7px solid rgba(204,204,204,.2);border-bottom:0}.bootstrap-select.show-menu-arrow.dropup .dropdown-toggle .filter-option:after{bottom:auto;top:-4px;border-top:6px solid #fff;border-bottom:0}.bootstrap-select.show-menu-arrow.pull-right .dropdown-toggle .filter-option:before{right:12px;left:auto}.bootstrap-select.show-menu-arrow.pull-right .dropdown-toggle .filter-option:after{right:13px;left:auto}.bootstrap-select.show-menu-arrow.open>.dropdown-toggle .filter-option:after,.bootstrap-select.show-menu-arrow.open>.dropdown-toggle .filter-option:before,.bootstrap-select.show-menu-arrow.show>.dropdown-toggle .filter-option:after,.bootstrap-select.show-menu-arrow.show>.dropdown-toggle .filter-option:before{display:block}.bs-actionsbox,.bs-donebutton,.bs-searchbox{padding:4px 8px}.bs-actionsbox{width:100%;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}.bs-actionsbox .btn-group button{width:50%}.bs-donebutton{float:left;width:100%;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}.bs-donebutton .btn-group button{width:100%}.bs-searchbox+.bs-actionsbox{padding:0 8px 4px}.bs-searchbox .form-control{margin-bottom:0;width:100%;float:none} | 11,179 | bootstrap-select.min | css | en | css | data | {"qsc_code_num_words": 1649, "qsc_code_num_chars": 11179.0, "qsc_code_mean_word_length": 5.50333535, "qsc_code_frac_words_unique": 0.13159491, "qsc_code_frac_chars_top_2grams": 0.19504132, "qsc_code_frac_chars_top_3grams": 0.1368595, "qsc_code_frac_chars_top_4grams": 0.12782369, "qsc_code_frac_chars_dupe_5grams": 0.60727273, "qsc_code_frac_chars_dupe_6grams": 0.5399449, "qsc_code_frac_chars_dupe_7grams": 0.44, "qsc_code_frac_chars_dupe_8grams": 0.36242424, "qsc_code_frac_chars_dupe_9grams": 0.1661708, "qsc_code_frac_chars_dupe_10grams": 0.14236915, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02797521, "qsc_code_frac_chars_whitespace": 0.01833796, "qsc_code_size_file_byte": 11179.0, "qsc_code_num_lines": 6.0, "qsc_code_num_chars_line_max": 10943.0, "qsc_code_num_chars_line_mean": 1863.16666667, "qsc_code_frac_chars_alphabet": 0.79897941, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00044723, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 1, "qsc_code_num_chars_line_max": 1, "qsc_code_num_chars_line_mean": 1, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0} |
1c-syntax/ssl_3_1 | src/cf/Reports/СогласияНаОбработкуПерсональныхДанныхИстекающие/Ext/ManagerModule.bsl | ///////////////////////////////////////////////////////////////////////////////////////////////////////
// Copyright (c) 2024, ООО 1С-Софт
// Все права защищены. Эта программа и сопроводительные материалы предоставляются
// в соответствии с условиями лицензии Attribution 4.0 International (CC BY 4.0)
// Текст лицензии доступен по ссылке:
// https://creativecommons.org/licenses/by/4.0/legalcode
///////////////////////////////////////////////////////////////////////////////////////////////////////
#Если Сервер Или ТолстыйКлиентОбычноеПриложение Или ВнешнееСоединение Тогда
#Область ПрограммныйИнтерфейс
#Область ДляВызоваИзДругихПодсистем
// СтандартныеПодсистемы.ВариантыОтчетов
// Параметры:
// Настройки - см. ВариантыОтчетовПереопределяемый.НастроитьВариантыОтчетов.Настройки.
// НастройкиОтчета - см. ВариантыОтчетов.ОписаниеОтчета.
//
Процедура НастроитьВариантыОтчета(Настройки, НастройкиОтчета) Экспорт
МодульВариантыОтчетов = ОбщегоНазначения.ОбщийМодуль("ВариантыОтчетов");
НастройкиОтчета.Описание = НСтр("ru = 'Согласия на обработку персональных данных, срок действия которых истекает.'");
НастройкиВарианта = МодульВариантыОтчетов.ОписаниеВарианта(Настройки, НастройкиОтчета, "ИстекающиеСогласия");
НастройкиВарианта.Описание = НСтр("ru = 'Согласия, срок действия которых истекает в заданном периоде.'");
КонецПроцедуры
// Конец СтандартныеПодсистемы.ВариантыОтчетов
#КонецОбласти
#КонецОбласти
#КонецЕсли | 1,443 | ManagerModule | bsl | ru | 1c enterprise | code | {"qsc_code_num_words": 112, "qsc_code_num_chars": 1443.0, "qsc_code_mean_word_length": 9.0, "qsc_code_frac_words_unique": 0.72321429, "qsc_code_frac_chars_top_2grams": 0.00595238, "qsc_code_frac_chars_top_3grams": 0.00793651, "qsc_code_frac_chars_top_4grams": 0.04365079, "qsc_code_frac_chars_dupe_5grams": 0.0, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00835866, "qsc_code_frac_chars_whitespace": 0.08801109, "qsc_code_size_file_byte": 1443.0, "qsc_code_num_lines": 35.0, "qsc_code_num_chars_line_max": 119.0, "qsc_code_num_chars_line_mean": 41.22857143, "qsc_code_frac_chars_alphabet": 0.75683891, "qsc_code_frac_chars_comments": 0.92723493, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 1, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1y33/100Days | day48/kernel.py | import torch
import triton
import triton.language as tl
@triton.jit
def gelu_kernel(
x_ptr,
output_ptr,
n_elements,
BLOCK_SIZE: tl.constexpr,
):
pid = tl.program_id(axis=0)
block_start = pid * BLOCK_SIZE
offsets = block_start + tl.arange(0, BLOCK_SIZE)
mask = offsets < n_elements
x = tl.load(x_ptr + offsets, mask=mask)
coeff1 = 0.7978845608028654
coeff2 = 0.044715
x_cubed = x * x * x
inner = coeff1 * (x + coeff2 * x_cubed)
tanh = tl.math.tanh(inner)
output = 0.5 * x * (1.0 + tanh)
tl.store(output_ptr + offsets, output, mask=mask)
def fused_gelu(x: torch.Tensor):
output = torch.empty_like(x)
n_elements = x.numel()
grid = lambda meta: (triton.cdiv(n_elements, meta['BLOCK_SIZE']),)
gelu_kernel[grid](x, output, n_elements, BLOCK_SIZE=1024)
return output
if __name__ == "__main__":
torch.manual_seed(0)
x = torch.randn(1000000, device='cuda')
triton_output = fused_gelu(x)
torch_output = torch.nn.functional.gelu(x)
print(f"Maximum absolute error: {torch.max(torch.abs(triton_output - torch_output)):.2e}")
print(f"Results match: {torch.allclose(triton_output, torch_output, atol=1e-5)}") | 1,264 | kernel | py | en | python | code | {"qsc_code_num_words": 181, "qsc_code_num_chars": 1264.0, "qsc_code_mean_word_length": 4.25966851, "qsc_code_frac_words_unique": 0.40883978, "qsc_code_frac_chars_top_2grams": 0.05836576, "qsc_code_frac_chars_top_3grams": 0.03631647, "qsc_code_frac_chars_top_4grams": 0.04669261, "qsc_code_frac_chars_dupe_5grams": 0.0, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.05072464, "qsc_code_frac_chars_whitespace": 0.23575949, "qsc_code_size_file_byte": 1264.0, "qsc_code_num_lines": 50.0, "qsc_code_num_chars_line_max": 95.0, "qsc_code_num_chars_line_mean": 25.28, "qsc_code_frac_chars_alphabet": 0.74741201, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.13675889, "qsc_code_frac_chars_long_word_length": 0.05059289, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.05714286, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.08571429, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.17142857, "qsc_codepython_frac_lines_print": 0.05714286} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1ytic/warp-rna | README.md | # Recurrent Neural Aligner
Recurrent Neural Aligner (RNA) is a restricted version of RNN-Transducer loss (RNN-T). It assumes that the length of input sequence is equal to or greater than the length of target sequence ([Sak, et al., 2017](https://www.isca-speech.org/archive/Interspeech_2017/pdfs/1705.PDF); [Dong, et al., 2018](https://arxiv.org/abs/1806.06342)).
In this repository you can find a reference implementation of RNA loss in python, as well as a fast GPU version on CUDA. In order to apply the same efficient procedure from [warp_rnnt](https://github.com/1ytic/warp-rnnt), the alphas/betas arrays are represented as shown below. Because RNA loss assumes that a model produces only one output at each input step, we can reduce the T dimension to S=T-U+2.
## Convergence
In the figure below shows a sanity check of the implementation for the speech recognition task with a small dataset. The decoding procedure was the same for both models. As you can see RNN-T loss more stable in this case.
If you have a successful example of using RNA loss or if you find errors in this implementation, please make an issue for this repository.
## Install
Currently, there is only a binding for PyTorch 1.0 and higher.
```bash
pip install warp_rna
```
## Test
There is a unittest in pytorch_binding/warp_rna which includes tests for arguments and outputs as well.
```bash
cd ..
python -m warp_rna.test
```
| 1,448 | README | md | en | markdown | text | {"qsc_doc_frac_chars_curly_bracket": 0.0, "qsc_doc_frac_words_redpajama_stop": 0.29375, "qsc_doc_num_sentences": 25.0, "qsc_doc_num_words": 251, "qsc_doc_num_chars": 1448.0, "qsc_doc_num_lines": 31.0, "qsc_doc_mean_word_length": 4.39043825, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with_readmore": 0.0, "qsc_doc_frac_lines_start_with_bullet": 0.0, "qsc_doc_frac_words_unique": 0.57768924, "qsc_doc_entropy_unigram": 4.73142872, "qsc_doc_frac_words_all_caps": 0.05, "qsc_doc_frac_lines_dupe_lines": 0.21052632, "qsc_doc_frac_chars_dupe_lines": 0.01411433, "qsc_doc_frac_chars_top_2grams": 0.01633394, "qsc_doc_frac_chars_top_3grams": 0.0399274, "qsc_doc_frac_chars_top_4grams": 0.0, "qsc_doc_frac_chars_dupe_5grams": 0.0, "qsc_doc_frac_chars_dupe_6grams": 0.0, "qsc_doc_frac_chars_dupe_7grams": 0.0, "qsc_doc_frac_chars_dupe_8grams": 0.0, "qsc_doc_frac_chars_dupe_9grams": 0.0, "qsc_doc_frac_chars_dupe_10grams": 0.0, "qsc_doc_frac_chars_replacement_symbols": 0.0, "qsc_doc_cate_code_related_file_name": 1.0, "qsc_doc_num_chars_sentence_length_mean": 23.55932203, "qsc_doc_frac_chars_hyperlink_html_tag": 0.09599448, "qsc_doc_frac_chars_alphabet": 0.88095238, "qsc_doc_frac_chars_digital": 0.02380952, "qsc_doc_frac_chars_whitespace": 0.15883978, "qsc_doc_frac_chars_hex_words": 0.0} | 1 | {"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_8grams": 0, "qsc_doc_frac_chars_dupe_9grams": 0, "qsc_doc_frac_chars_dupe_10grams": 0, "qsc_doc_frac_chars_dupe_lines": 0, "qsc_doc_frac_lines_dupe_lines": 0, "qsc_doc_frac_lines_end_with_readmore": 0, "qsc_doc_frac_lines_start_with_bullet": 0, "qsc_doc_frac_words_all_caps": 0, "qsc_doc_mean_word_length": 0, "qsc_doc_num_chars": 0, "qsc_doc_num_lines": 0, "qsc_doc_num_sentences": 0, "qsc_doc_num_words": 0, "qsc_doc_frac_chars_hex_words": 0, "qsc_doc_frac_chars_hyperlink_html_tag": 0, "qsc_doc_frac_chars_alphabet": 0, "qsc_doc_frac_chars_digital": 0, "qsc_doc_frac_chars_whitespace": 0} |
1ytic/warp-rnnt | pytorch_binding/core.cu | #include "core.h"
#include <stdio.h>
#include <assert.h>
#include <algorithm>
#include <cuda_runtime_api.h>
#include <device_atomic_functions.h>
#include <device_launch_parameters.h>
#define W 32
#define G 1024
#define B 256
__forceinline__ __device__ static int idx2(int n, int u, int U1) {
return n * U1 + u;
}
__forceinline__ __device__ static int idx3(int n, int t, int u, int T, int U) {
return n * (T * U) + t * U + u;
}
__forceinline__ __device__ static int idx4(int n, int t, int u, int v, int T, int U, int V) {
return n * (T * U * V) + t * (U * V) + u * V + v;
}
__forceinline__ __device__ static float log_sum_exp(float a, float b) {
float maximum, diff;
if (a > b) {
maximum = a;
diff = b-a;
} else {
maximum = b;
diff = a-b;
}
//if (diff > -42) {
maximum += log1pf(expf(diff));
//}
return maximum;
}
__device__
void kernel_warp_alphas(unsigned int *counts, volatile float *alphas,
const int *labels, const float *log_probs,
const int *xn, const int *yn, int T, int U, int V, int blank) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y + 1;
unsigned int n = blockIdx.z;
unsigned int p = g * W;
unsigned int t = p + d + 1;
assert (d < W);
assert (u <= U);
assert (gridDim.y == U);
assert (blockDim.x == W);
int actual_t = xn[n];
int actual_u = yn[n] + 1;
if (t > actual_t || u > actual_u)
return;
unsigned int *lock = counts + n * U * 2 + blockIdx.y;
if (blockIdx.x == 0 && blockIdx.y == 0) {
alphas[idx3(n, 0, 0, T, U)] = 0;
}
if (blockIdx.x > 0) {
// Wait previous row
do {} while (atomicAdd(lock, 0) < g);
}
if (blockIdx.y > 0) {
// Wait previous column
do {} while (atomicAdd(lock-1, 0) <= g);
}
if (blockIdx.x == 0 && u < actual_u) {
// Compute initial row value
unsigned int l = labels[idx2(n, u-1, U-1)];
float a = alphas[idx3(n, 0, u-1, T, U)];
float b = log_probs[idx4(n, 0, u-1, l, T, U, V)];
alphas[idx3(n, 0, u, T, U)] = a + b;
}
if (blockIdx.y == 0 && t < actual_t) {
// Compute initial column with local scan algorithm
float a;
float b = log_probs[idx4(n, t-1, 0, blank, T, U, V)];
#pragma unroll
for(unsigned int i = 1; i < W; i *= 2) {
a = __shfl_up_sync(0xffffffff, b, i);
if (i <= d) {
b += a;
}
}
a = alphas[idx3(n, p, 0, T, U)];
alphas[idx3(n, t, 0, T, U)] = a + b;
}
if (t < actual_t && u < actual_u) {
// Ready to compute alphas[t, u]
unsigned int l = labels[idx2(n, u-1, U-1)];
float bias = log_probs[idx4(n, t-1, u, blank, T, U, V)];
float skip = alphas[idx3(n, p, u, T, U)] + bias;
float emit = alphas[idx3(n, t, u-1, T, U)] + log_probs[idx4(n, t, u-1, l, T, U, V)];
float r = log_sum_exp(skip, emit);
float output = r;
for(unsigned int i = 1; i < W; i++) {
r = __shfl_up_sync(0xffffffff, r, 1);
if (i == d) {
r = log_sum_exp(r + bias, emit);
output = r;
}
}
alphas[idx3(n, t, u, T, U)] = output;
}
if (d == 0) {
// https://stackoverflow.com/a/5233737
__threadfence();
atomicAdd(lock, 1);
}
}
__device__
void kernel_warp_betas(unsigned int *counts, volatile float *betas,
const int *labels, const float *log_probs,
const int *xn, const int *yn, int T, int U, int V, int blank) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y + 1;
unsigned int n = blockIdx.z;
unsigned int p = g * W;
unsigned int t = p + d + 1;
assert (d < W);
assert (u <= U);
assert (gridDim.y == U);
assert (blockDim.x == W);
int actual_t = xn[n];
int actual_u = yn[n] + 1;
if (t > actual_t || u > actual_u)
return;
int T1 = actual_t - 1;
int U1 = actual_u - 1;
unsigned int *lock = counts + n * U * 2 + U + blockIdx.y;
if (blockIdx.x == 0 && blockIdx.y == 0) {
betas[idx3(n, T1, U1, T, U)] = log_probs[idx4(n, T1, U1, blank, T, U, V)];
}
if (blockIdx.x > 0) {
// Wait previous row
do {} while (atomicAdd(lock, 0) < g);
}
if (blockIdx.y > 0) {
// Wait previous column
do {} while (atomicAdd(lock-1, 0) <= g);
}
if (blockIdx.x == 0 && u < actual_u) {
// Compute last row value
unsigned int l = labels[idx2(n, U1-u, U-1)];
float a = betas[idx3(n, T1, U1-u+1, T, U)];
float b = log_probs[idx4(n, T1, U1-u, l, T, U, V)];
betas[idx3(n, T1, U1-u, T, U)] = a + b;
}
if (blockIdx.y == 0 && t < actual_t) {
// Compute last column with local scan algorithm
float a;
float b = log_probs[idx4(n, T1-t, U1, blank, T, U, V)];
#pragma unroll
for(unsigned int i = 1; i < W; i *= 2) {
a = __shfl_up_sync(0xffffffff, b, i);
if (i <= d) {
b += a;
}
}
a = betas[idx3(n, T1-p, U1, T, U)];
betas[idx3(n, T1-t, U1, T, U)] = a + b;
}
if (t < actual_t && u < actual_u) {
// Ready to compute betas[T1-t, U1-u]
unsigned int l = labels[idx2(n, U1-u, U-1)];
float bias = log_probs[idx4(n, T1-t, U1-u, blank, T, U, V)];
float skip = betas[idx3(n, T1-p, U1-u, T, U)] + bias;
float emit = betas[idx3(n, T1-t, U1-u+1, T, U)] + log_probs[idx4(n, T1-t, U1-u, l, T, U, V)];
float r = log_sum_exp(skip, emit);
float output = r;
for(unsigned int i = 1; i < W; i++) {
r = __shfl_up_sync(0xffffffff, r, 1);
if (i == d) {
r = log_sum_exp(r + bias, emit);
output = r;
}
}
betas[idx3(n, T1-t, U1-u, T, U)] = output;
}
if (d == 0) {
// https://stackoverflow.com/a/5233737
__threadfence();
atomicAdd(lock, 1);
}
}
__global__
void kernel_warp(unsigned int *counts, volatile float *alphas, volatile float *betas,
const int *labels, const float *log_probs,
const int *xn, const int *yn, int T, int U, int V, int blank) {
if (threadIdx.y == 0) {
kernel_warp_alphas(counts, alphas, labels, log_probs, xn, yn, T, U, V, blank);
}
else if (threadIdx.y == 1) {
kernel_warp_betas(counts, betas, labels, log_probs, xn, yn, T, U, V, blank);
}
}
__global__
void kernel_grads_blank(float *grads, const float *alphas, const float *betas, const float *log_probs,
const int *xn, const int *yn, int T, int U, int V, int blank) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y;
unsigned int n = blockIdx.z;
unsigned int t = g * G + d;
assert (u < U);
assert (d < G);
assert (blockDim.x == G);
assert (gridDim.y == U);
int actual_t = xn[n];
int actual_u = yn[n] + 1;
if (t >= actual_t || u >= actual_u)
return;
if (t == actual_t-1 && u < actual_u-1)
return;
float a = alphas[idx3(n, t, u, T, U)];
if (t < actual_t-1) {
a += betas[idx3(n, t+1, u, T, U)];
}
unsigned int index = idx4(n, t, u, blank, T, U, V);
a = expf(a + log_probs[index] - betas[idx3(n, 0, 0, T, U)]);
grads[index] = -a;
}
__global__
void kernel_grads_label(float *grads, const float *alphas, const float *betas,
const int *labels, const float *log_probs,
const int *xn, const int *yn, int T, int U, int V, float fastemit_lambda) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y;
unsigned int n = blockIdx.z;
unsigned int t = g * G + d;
assert (u < U - 1);
assert (d < G);
assert (blockDim.x == G);
assert (gridDim.y == U - 1);
int actual_t = xn[n];
int actual_u = yn[n];
if (t >= actual_t || u >= actual_u)
return;
unsigned int l = labels[idx2(n, u, U-1)];
float a = alphas[idx3(n, t, u, T, U)] + betas[idx3(n, t, u+1, T, U)];
unsigned int index = idx4(n, t, u, l, T, U, V);
a = expf(a + log_probs[index] - betas[idx3(n, 0, 0, T, U)]);
// apply FastEmit regularization
// https://arxiv.org/abs/2010.11148
a = (1. + fastemit_lambda) * a;
grads[index] = -a;
}
__global__
void kernel_fill_costs(float *costs, float *grads, const float *alphas, const float *betas, const float *log_probs,
const int *xn, const int *yn, int N, int T, int U, int V, int blank) {
unsigned int n = blockIdx.x * blockDim.x + threadIdx.x;
if (n >= N)
return;
int t = xn[n] - 1;
int u = yn[n];
float a = alphas[idx3(n, t, u, T, U)] + log_probs[idx4(n, t, u, blank, T, U, V)];
float b = betas[idx3(n, 0, 0, T, U)];
float ratio = fabsf(a - b) / fabsf(fmaxf(a, b));
if (ratio > 0.001) {
printf("\nWARNING: sample %d [%d, %d] has a forward/backward mismatch %f / %f\n",
n, t + 1, u, a, b);
float *g = grads + idx4(n, 0, 0, 0, T, U, V);
for (int i = 0; i < T; ++i) {
for (int j = 0; j < U; ++j) {
for (int v = 0; v < V; ++v, ++g) {
*g = 0;
}
}
}
b = (a + b) / 2.0f;
}
costs[n] = -b;
}
rnntStatus_t run_warp_rnnt(cudaStream_t stream, unsigned int *counts, float *alphas, float *betas,
const int *labels, const float *log_probs, float *grads, float *costs,
const int *xn, const int *yn, int N, int T, int U, int V, int blank, float fastemit_lambda) {
dim3 threads1(W, 2);
dim3 blocks1((T + W - 1) / W, U, N);
kernel_warp <<<blocks1, threads1, 0, stream>>> (counts, alphas, betas, labels, log_probs, xn, yn, T, U, V, blank);
if (cudaGetLastError() != cudaSuccess)
return RNNT_STATUS_WARP_FAILED;
dim3 blocks2((T + G - 1) / G, U, N);
kernel_grads_blank <<<blocks2, G, 0, stream>>> (grads, alphas, betas, log_probs, xn, yn, T, U, V, blank);
if (cudaGetLastError() != cudaSuccess)
return RNNT_STATUS_GRADS_BLANK_FAILED;
if (U > 1) {
dim3 blocks3((T + G - 1) / G, U - 1, N);
kernel_grads_label <<<blocks3, G, 0, stream>>> (grads, alphas, betas, labels, log_probs, xn, yn, T, U, V, fastemit_lambda);
if (cudaGetLastError() != cudaSuccess)
return RNNT_STATUS_GRADS_LABEL_FAILED;
}
dim3 blocks4((N + B - 1) / B, 1, 1);
kernel_fill_costs <<<blocks4, B, 0, stream>>> (costs, grads, alphas, betas, log_probs, xn, yn, N, T, U, V, blank);
if (cudaGetLastError() != cudaSuccess)
return RNNT_STATUS_COSTS_FAILED;
return RNNT_STATUS_SUCCESS;
}
| 11,104 | core | cu | en | cuda | code | {"qsc_code_num_words": 1704, "qsc_code_num_chars": 11104.0, "qsc_code_mean_word_length": 3.26115023, "qsc_code_frac_words_unique": 0.09037559, "qsc_code_frac_chars_top_2grams": 0.02303401, "qsc_code_frac_chars_top_3grams": 0.01133705, "qsc_code_frac_chars_top_4grams": 0.01583588, "qsc_code_frac_chars_dupe_5grams": 0.74032751, "qsc_code_frac_chars_dupe_6grams": 0.71189491, "qsc_code_frac_chars_dupe_7grams": 0.65880871, "qsc_code_frac_chars_dupe_8grams": 0.60320317, "qsc_code_frac_chars_dupe_9grams": 0.58052906, "qsc_code_frac_chars_dupe_10grams": 0.52780277, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.03250067, "qsc_code_frac_chars_whitespace": 0.32943084, "qsc_code_size_file_byte": 11104.0, "qsc_code_num_lines": 401.0, "qsc_code_num_chars_line_max": 132.0, "qsc_code_num_chars_line_mean": 27.69077307, "qsc_code_frac_chars_alphabet": 0.71380607, "qsc_code_frac_chars_comments": 0.04394813, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.45, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.00357143, "qsc_code_frac_chars_string_length": 0.0072532, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0037679, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.06071429} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 1, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1ytic/warp-rnnt | pytorch_binding/setup.py | import io
import os
import torch
from setuptools import setup, find_packages
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
def get_requirements():
req_file = os.path.join(os.path.dirname(__file__), "requirements.txt")
with io.open(req_file, "r", encoding="utf-8") as f:
return [line.strip() for line in f]
def get_long_description():
readme_file = os.path.join(os.path.dirname(__file__), "README.md")
with io.open(readme_file, "r", encoding="utf-8") as f:
return f.read()
if not torch.cuda.is_available():
raise Exception("CPU version is not implemented")
requirements = get_requirements()
long_description = get_long_description()
setup(
name="warp_rnnt",
version="0.7.0",
description="PyTorch bindings for CUDA-Warp RNN-Transducer",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/1ytic/warp-rnnt/tree/master/pytorch_binding",
author="Ivan Sorokin",
author_email="i.sorok1n@icloud.com",
license="MIT",
packages=find_packages(),
ext_modules=[
CUDAExtension(
name="warp_rnnt._C",
sources=[
"core.cu",
"core_gather.cu",
"core_compact.cu",
"binding.cpp"
]
)
],
cmdclass={"build_ext": BuildExtension},
setup_requires=requirements,
install_requires=requirements,
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development",
"Topic :: Software Development :: Libraries",
"Topic :: Software Development :: Libraries :: Python Modules",
]
)
| 2,286 | setup | py | en | python | code | {"qsc_code_num_words": 251, "qsc_code_num_chars": 2286.0, "qsc_code_mean_word_length": 5.60557769, "qsc_code_frac_words_unique": 0.47808765, "qsc_code_frac_chars_top_2grams": 0.06396588, "qsc_code_frac_chars_top_3grams": 0.10660981, "qsc_code_frac_chars_top_4grams": 0.1108742, "qsc_code_frac_chars_dupe_5grams": 0.08102345, "qsc_code_frac_chars_dupe_6grams": 0.08102345, "qsc_code_frac_chars_dupe_7grams": 0.08102345, "qsc_code_frac_chars_dupe_8grams": 0.08102345, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01091327, "qsc_code_frac_chars_whitespace": 0.2384077, "qsc_code_size_file_byte": 2286.0, "qsc_code_num_lines": 71.0, "qsc_code_num_chars_line_max": 75.0, "qsc_code_num_chars_line_mean": 32.1971831, "qsc_code_frac_chars_alphabet": 0.79724296, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.39807524, "qsc_code_frac_chars_long_word_length": 0.01924759, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.03278689, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.08196721, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.14754098, "qsc_codepython_frac_lines_print": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1ytic/warp-rnnt | tensorflow_binding/warp_rnnt_tf/__init__.py | import imp
import tensorflow as tf
from tensorflow.python.framework import ops
from typing import Optional, AnyStr
lib_file = imp.find_module('kernels', __path__)[1]
_warp_transducer = tf.load_op_library(lib_file)
def gather_log_probs(log_probs, labels, blank=0):
""" Gather log_probs with the shape (N, T, U, V) into the shape (N, T, U, 2)
only for blank and labels values. It's a slightly memory-efficient method.
Args:
log_probs (torch.FloatTensor): Input tensor with shape (N, T, U, V)
where N is the minibatch size, T is the maximum number of
input frames, U is the maximum number of output labels and V is
the vocabulary of labels (including the blank).
labels (torch.IntTensor): Tensor with shape (N, U-1) representing the
reference labels for all samples in the minibatch.
blank (int, optional): label used to represent the blank symbol.
Default: 0.
"""
def shape_list(x):
"""Deal with dynamic shape in tensorflow cleanly."""
static = x.shape.as_list()
dynamic = tf.shape(x)
return [dynamic[i] if s is None else s for i, s in enumerate(static)]
def gather(x, indices, gather_axis):
# if pytorch gather indices are
# [[[0, 10, 20], [0, 10, 20], [0, 10, 20]],
# [[0, 10, 20], [0, 10, 20], [0, 10, 20]]]
# tf nd_gather needs to be
# [[0,0,0], [0,0,10], [0,0,20], [0,1,0], [0,1,10], [0,1,20], [0,2,0], [0,2,10], [0,2,20],
# [1,0,0], [1,0,10], [1,0,20], [1,1,0], [1,1,10], [1,1,20], [1,2,0], [1,2,10], [1,2,20]]
N, T, U, V = shape_list(indices)
# create a tensor containing indices of each element
all_indices = tf.where(
tf.fill([N, T, U, V], tf.constant(True, dtype=tf.bool)))
gather_locations = tf.reshape(indices, [N*T*U*V])
# splice in our pytorch style index at the correct axis
gathered = tf.gather_nd(x, tf.stack([
all_indices[:, 0],
all_indices[:, 1],
all_indices[:, 2],
gather_locations
], axis=-1))
return tf.reshape(gathered, [N, T, U, V])
# Casts to int64
blank = tf.cast(blank, dtype=tf.int64)
labels = tf.cast(labels, dtype=tf.int64)
# Returns the shape of log_probs
N, T, U, V = shape_list(log_probs)
# (N, U-1) -> (N, 1, U-1)
index = tf.expand_dims(labels, axis=1)
# (N, 1, U-1) -> (N, T, U-1)
index = tf.tile(index, tf.stack([1, T, 1]))
# (N, 1, U-1) -> (N, T, U-1, 1)
index = tf.expand_dims(index, axis=-1)
# (N, T, U-1,1)
blank_index = tf.fill([N, T, U-1, 1], blank)
# (N, T, U-1,1), (N, T, U-1,1)] -> (N, T, U-1, 2)
index = tf.concat([blank_index, index], axis=-1)
# (N, T, 1,2)
blank_index = tf.fill([N, T, 1, 2], blank)
# (N, T, U-1, 2), (N, T, 1, 2) -> (N, T, U, 2)
index = tf.concat([index, blank_index], axis=2)
return gather(log_probs, index, 3)
def rnnt_loss(
log_probs, labels, frames_lengths, labels_lengths,
average_frames: bool = False,
reduction: Optional[AnyStr] = None,
blank: int = 0,
gather: bool = False,
fastemit_lambda: float = 0.0):
"""The CUDA-Warp Transducer loss.
Args:
log_probs (Tensor): Float Tensor with shape (N, T, U, V)
where N is the minibatch size, T is the maximum number of
input frames, U is the maximum number of output labels and V is
the vocabulary of labels (including the blank).
labels (Tensor): Integer Tensor with shape (N, U-1) representing the
reference labels for all samples in the minibatch.
frames_lengths (Tensor): Integer Tensor with shape (N,) representing the
number of frames for each sample in the minibatch.
labels_lengths (Tensor): Integer Tensor with shape (N,) representing the
length of the transcription for each sample in the minibatch.
average_frames (bool, optional): Specifies whether the loss of each
sample should be divided by its number of frames.
Default: False.
reduction (string, optional): Specifies the type of reduction.
Default: None.
blank (int, optional): label used to represent the blank symbol.
Default: 0.
gather (bool, optional): Reduce memory consumption.
Default: False.
fastemit_lambda (float, optional): FastEmit regularization
(https://arxiv.org/abs/2010.11148).
Default: 0.0.
"""
assert average_frames is None or isinstance(average_frames, bool)
assert reduction is None or reduction in ("none", "mean", "sum")
assert isinstance(blank, int)
if gather:
log_probs = gather_log_probs(log_probs, labels, blank)
blank = -1
costs, _ = _warp_transducer.transducer_loss(
log_probs, labels, frames_lengths, labels_lengths, blank, fastemit_lambda)
if average_frames:
costs = costs / frames_lengths # (N,)
if reduction == "sum":
return tf.reduce_sum(costs)
elif reduction == "mean":
return tf.reduce_mean(costs)
return costs
@ops.RegisterGradient("TransducerLoss")
def _TransducerLossGrad(op, grad_loss, _):
"""The derivative provided by Transducer Loss.
Args:
op: the TransducerLoss op.
grad_loss: The backprop for cost.
Returns:
The Transducer Loss gradient.
"""
grad = op.outputs[1]
# NOTE since here we are batch first, cannot use _BroadcastMul
grad_loss = tf.reshape(grad_loss, (-1, 1, 1, 1))
return [grad_loss * grad, None, None, None]
| 5,691 | __init__ | py | en | python | code | {"qsc_code_num_words": 847, "qsc_code_num_chars": 5691.0, "qsc_code_mean_word_length": 3.96340024, "qsc_code_frac_words_unique": 0.21959858, "qsc_code_frac_chars_top_2grams": 0.01251117, "qsc_code_frac_chars_top_3grams": 0.01608579, "qsc_code_frac_chars_top_4grams": 0.00953232, "qsc_code_frac_chars_dupe_5grams": 0.34286565, "qsc_code_frac_chars_dupe_6grams": 0.31099196, "qsc_code_frac_chars_dupe_7grams": 0.26809651, "qsc_code_frac_chars_dupe_8grams": 0.2484361, "qsc_code_frac_chars_dupe_9grams": 0.22222222, "qsc_code_frac_chars_dupe_10grams": 0.18230563, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.04076218, "qsc_code_frac_chars_whitespace": 0.27148129, "qsc_code_size_file_byte": 5691.0, "qsc_code_num_lines": 148.0, "qsc_code_num_chars_line_max": 98.0, "qsc_code_num_chars_line_mean": 38.4527027, "qsc_code_frac_chars_alphabet": 0.76893391, "qsc_code_frac_chars_comments": 0.50043929, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0147281, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.04918033, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.08196721, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.06557377, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.26229508, "qsc_codepython_frac_lines_print": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1y33/100Days | day78/rmsnorm.py | import torch
import triton
import triton.language as tl
def next_power_of_2(n):
n -= 1
n |= n >> 1
n |= n >> 2
n |= n >> 4
n |= n >> 8
n |= n >> 16
n += 1
return n
@triton.jit
def _rms_norm_fwd_fused(
X_ptr,
Y_ptr,
W_ptr,
stride_x_row,
stride_y_row,
N,
eps,
BLOCK_SIZE_N: tl.constexpr,
):
row_idx = tl.program_id(0)
x_row_start_ptr = X_ptr + row_idx * stride_x_row
y_row_start_ptr = Y_ptr + row_idx * stride_y_row
row_var = tl.zeros((), dtype=tl.float32)
for start_n in range(0, N, BLOCK_SIZE_N):
offs_n = start_n + tl.arange(0, BLOCK_SIZE_N)
mask = offs_n < N
x = tl.load(x_row_start_ptr + offs_n, mask=mask, other=0.0).to(tl.float32)
row_var += tl.sum(x * x, axis=0)
variance = row_var / N
variance_eps = variance + eps
rstd = tl.math.rsqrt(variance_eps)
for start_n in range(0, N, BLOCK_SIZE_N):
offs_n = start_n + tl.arange(0, BLOCK_SIZE_N)
mask = offs_n < N
x = tl.load(x_row_start_ptr + offs_n, mask=mask, other=0.0)
w = tl.load(W_ptr + offs_n, mask=mask)
x_norm = x * rstd.to(x.dtype)
y = x_norm * w
tl.store(y_row_start_ptr + offs_n, y, mask=mask)
def rms_norm(x: torch.Tensor, weight: torch.Tensor, eps: float = 1e-5) -> torch.Tensor:
assert x.is_cuda, "Input tensor must be on CUDA"
assert weight.is_cuda, "Weight tensor must be on CUDA"
assert x.shape[-1] == weight.shape[-1], f"Input feature dim ({x.shape[-1]}) must match weight dim ({weight.shape[-1]})"
assert weight.ndim == 1, "Weight tensor must be 1-dimensional"
assert x.is_contiguous() or x.stride(-1) == 1, "Input tensor's last dimension must be contiguous"
assert weight.is_contiguous(), "Weight tensor must be contiguous"
input_shape = x.shape
M, N = x.numel() // input_shape[-1], input_shape[-1]
x_2d = x.view(M, N)
y = torch.empty_like(x_2d)
BLOCK_SIZE_N = max(16, min(triton.next_power_of_2(N), 4096))
grid = (M,)
_rms_norm_fwd_fused[grid](
x_2d,
y,
weight,
x_2d.stride(0),
y.stride(0),
N,
eps,
BLOCK_SIZE_N=BLOCK_SIZE_N,
)
return y.view(input_shape)
if __name__ == "__main__":
dtype = torch.float16
device = 'cuda'
batch_size = 4
seq_len = 512
hidden_dim = 1024
x = torch.randn(batch_size, seq_len, hidden_dim, dtype=dtype, device=device, requires_grad=False)
weight = torch.rand(hidden_dim, dtype=dtype, device=device, requires_grad=False) * 2 + 0.5
x = x.contiguous()
weight = weight.contiguous()
epsilon = 1e-5
print("Running Triton RMSNorm...")
y_triton = rms_norm(x, weight, epsilon)
print("Triton RMSNorm finished.")
print("Running PyTorch RMSNorm for comparison...")
variance = x.to(torch.float32).pow(2).mean(-1, keepdim=True)
x_normalized_pytorch = x * torch.rsqrt(variance + epsilon)
y_pytorch = x_normalized_pytorch * weight.to(x_normalized_pytorch.dtype)
print("PyTorch RMSNorm finished.")
print("Comparing outputs...")
atol = 1e-3 if dtype == torch.float16 else 1e-5
rtol = 1e-2 if dtype == torch.float16 else 1e-4
try:
torch.allclose(y_triton, y_pytorch, atol=atol, rtol=rtol)
print("Verification Successful: Triton and PyTorch outputs match.")
except RuntimeError as e:
print(f"Verification FAILED: {e}")
print("Max difference:", torch.max(torch.abs(y_triton - y_pytorch)))
print("\nBenchmarking...")
def run_triton():
rms_norm(x, weight, epsilon)
torch.cuda.synchronize()
def run_pytorch():
variance = x.to(torch.float32).pow(2).mean(-1, keepdim=True)
x_normalized_pytorch = x * torch.rsqrt(variance + epsilon)
y_pytorch = x_normalized_pytorch * weight.to(x_normalized_pytorch.dtype)
torch.cuda.synchronize()
for _ in range(10):
run_triton()
run_pytorch()
ms_triton = triton.testing.do_bench(run_triton, rep=100)
ms_pytorch = triton.testing.do_bench(run_pytorch, rep=100)
print(f"Triton RMSNorm Forward: {ms_triton:.4f} ms")
print(f"PyTorch RMSNorm Forward: {ms_pytorch:.4f} ms")
print(f"Speedup: {ms_pytorch / ms_triton:.2f}x")
| 4,283 | rmsnorm | py | en | python | code | {"qsc_code_num_words": 669, "qsc_code_num_chars": 4283.0, "qsc_code_mean_word_length": 3.84753363, "qsc_code_frac_words_unique": 0.22421525, "qsc_code_frac_chars_top_2grams": 0.00621601, "qsc_code_frac_chars_top_3grams": 0.03108003, "qsc_code_frac_chars_top_4grams": 0.01398601, "qsc_code_frac_chars_dupe_5grams": 0.34537685, "qsc_code_frac_chars_dupe_6grams": 0.29137529, "qsc_code_frac_chars_dupe_7grams": 0.23232323, "qsc_code_frac_chars_dupe_8grams": 0.23232323, "qsc_code_frac_chars_dupe_9grams": 0.23232323, "qsc_code_frac_chars_dupe_10grams": 0.1950272, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02872861, "qsc_code_frac_chars_whitespace": 0.2360495, "qsc_code_size_file_byte": 4283.0, "qsc_code_num_lines": 137.0, "qsc_code_num_chars_line_max": 124.0, "qsc_code_num_chars_line_mean": 31.26277372, "qsc_code_frac_chars_alphabet": 0.75794621, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.16071429, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.00892857, "qsc_code_frac_chars_string_length": 0.1477936, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.05357143, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.04464286, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.02678571, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.08928571, "qsc_codepython_frac_lines_print": 0.10714286} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1c-syntax/ssl_3_1 | src/cf/Reports/АнализВерсийОбъектов/Templates/ОсновнаяСхемаКомпоновкиДанных.xml | <?xml version="1.0" encoding="UTF-8"?>
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<TemplateType>DataCompositionSchema</TemplateType>
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</MetaDataObject> | 1,286 | ОсновнаяСхемаКомпоновкиДанных | xml | ru | xml | data | {"qsc_code_num_words": 226, "qsc_code_num_chars": 1286.0, "qsc_code_mean_word_length": 3.99557522, "qsc_code_frac_words_unique": 0.34070796, "qsc_code_frac_chars_top_2grams": 0.09966777, "qsc_code_frac_chars_top_3grams": 0.13289037, "qsc_code_frac_chars_top_4grams": 0.16611296, "qsc_code_frac_chars_dupe_5grams": 0.40642303, "qsc_code_frac_chars_dupe_6grams": 0.40642303, "qsc_code_frac_chars_dupe_7grams": 0.33776301, "qsc_code_frac_chars_dupe_8grams": 0.27021041, "qsc_code_frac_chars_dupe_9grams": 0.05315615, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.08857616, "qsc_code_frac_chars_whitespace": 0.06065319, "qsc_code_size_file_byte": 1286.0, "qsc_code_num_lines": 16.0, "qsc_code_num_chars_line_max": 869.0, "qsc_code_num_chars_line_mean": 80.375, "qsc_code_frac_chars_alphabet": 0.65811258, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 1.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.52021773, "qsc_code_frac_chars_long_word_length": 0.02799378, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 1, "qsc_code_cate_autogen": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0} |
1y33/100Days | day100/delta.cu | #include <cuda.h>
#include <cuda_fp16.h>
using namespace nvcuda;
// Block layout: one block per (batch, head)
template<int D>
__global__ void delta_net_attention(
const half* __restrict__ K, // [B, S, D]
const half* __restrict__ V, // [B, S, D]
const half* __restrict__ Q, // [B, S, D]
half* __restrict__ O, // [B, S, D]
int batch, int seq_len)
{
extern __shared__ half shared_mem[]; // size = D*D
half* S = shared_mem; // state matrix S
int b = blockIdx.x; // batch index
// Initialize S to zero
for (int idx = threadIdx.x; idx < D*D; idx += blockDim.x) {
S[idx] = __float2half(0.0f);
}
__syncthreads();
// Loop over sequence length
for (int t = 0; t < seq_len; ++t) {
// Load k_t and v_t into registers
half k_vec[D], v_vec[D];
#pragma unroll
for (int i = threadIdx.x; i < D; i += blockDim.x) {
int base = (b*seq_len + t)*D;
k_vec[i] = K[base + i];
v_vec[i] = V[base + i];
}
__syncthreads();
// S += v_vec * k_vec^T — outer-product update
for (int i = threadIdx.y; i < D; i += blockDim.y) {
#pragma unroll
for (int j = threadIdx.x; j < D; j += blockDim.x) {
int idx = i*D + j;
float s = __half2float(S[idx]);
s += __half2float(v_vec[i]) * __half2float(k_vec[j]);
S[idx] = __float2half(s);
}
}
__syncthreads();
// Load q_t and compute o_t = S * q_vec
half q_vec[D];
#pragma unroll
for (int i = threadIdx.x; i < D; i += blockDim.x) {
int base = (b*seq_len + t)*D;
q_vec[i] = Q[base + i];
}
__syncthreads();
#pragma unroll
for (int i = threadIdx.x; i < D; i += blockDim.x) {
float o = 0.0f;
#pragma unroll
for (int j = 0; j < D; ++j) {
o += __half2float(S[i*D + j]) * __half2float(q_vec[j]);
}
int out_idx = (b*seq_len + t)*D + i;
O[out_idx] = __float2half(o);
}
__syncthreads();
}
}
| 2,230 | delta | cu | en | cuda | code | {"qsc_code_num_words": 304, "qsc_code_num_chars": 2230.0, "qsc_code_mean_word_length": 3.25, "qsc_code_frac_words_unique": 0.25, "qsc_code_frac_chars_top_2grams": 0.048583, "qsc_code_frac_chars_top_3grams": 0.07591093, "qsc_code_frac_chars_top_4grams": 0.09109312, "qsc_code_frac_chars_dupe_5grams": 0.25303644, "qsc_code_frac_chars_dupe_6grams": 0.20546559, "qsc_code_frac_chars_dupe_7grams": 0.16497976, "qsc_code_frac_chars_dupe_8grams": 0.16497976, "qsc_code_frac_chars_dupe_9grams": 0.16497976, "qsc_code_frac_chars_dupe_10grams": 0.16497976, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01161946, "qsc_code_frac_chars_whitespace": 0.38251121, "qsc_code_size_file_byte": 2230.0, "qsc_code_num_lines": 69.0, "qsc_code_num_chars_line_max": 72.0, "qsc_code_num_chars_line_mean": 32.31884058, "qsc_code_frac_chars_alphabet": 0.70515614, "qsc_code_frac_chars_comments": 0.14349776, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.29411765, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/cropper/cropper.min.css | /*!
* Cropper.js v1.5.12
* https://fengyuanchen.github.io/cropperjs
*
* Copyright 2015-present Chen Fengyuan
* Released under the MIT license
*
* Date: 2021-06-12T08:00:11.623Z
*/.cropper-container{direction:ltr;font-size:0;line-height:0;position:relative;-ms-touch-action:none;touch-action:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none}.cropper-container img{image-orientation:0deg;display:block;height:100%;max-height:none!important;max-width:none!important;min-height:0!important;min-width:0!important;width:100%}.cropper-canvas,.cropper-crop-box,.cropper-drag-box,.cropper-modal,.cropper-wrap-box{bottom:0;left:0;position:absolute;right:0;top:0}.cropper-canvas,.cropper-wrap-box{overflow:hidden}.cropper-drag-box{background-color:#fff;opacity:0}.cropper-modal{background-color:#000;opacity:.5}.cropper-view-box{display:block;height:100%;outline:1px solid #39f;outline-color:rgba(51,153,255,.75);overflow:hidden;width:100%}.cropper-dashed{border:0 dashed #eee;display:block;opacity:.5;position:absolute}.cropper-dashed.dashed-h{border-bottom-width:1px;border-top-width:1px;height:33.33333%;left:0;top:33.33333%;width:100%}.cropper-dashed.dashed-v{border-left-width:1px;border-right-width:1px;height:100%;left:33.33333%;top:0;width:33.33333%}.cropper-center{display:block;height:0;left:50%;opacity:.75;position:absolute;top:50%;width:0}.cropper-center:after,.cropper-center:before{background-color:#eee;content:" 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(min-width:768px){.cropper-point.point-se{height:15px;width:15px}}@media (min-width:992px){.cropper-point.point-se{height:10px;width:10px}}@media (min-width:1200px){.cropper-point.point-se{height:5px;opacity:.75;width:5px}}.cropper-point.point-se:before{background-color:#39f;bottom:-50%;content:" ";display:block;height:200%;opacity:0;position:absolute;right:-50%;width:200%}.cropper-invisible{opacity:0}.cropper-bg{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQAQMAAAAlPW0iAAAAA3NCSVQICAjb4U/gAAAABlBMVEXMzMz////TjRV2AAAACXBIWXMAAArrAAAK6wGCiw1aAAAAHHRFWHRTb2Z0d2FyZQBBZG9iZSBGaXJld29ya3MgQ1M26LyyjAAAABFJREFUCJlj+M/AgBVhF/0PAH6/D/HkDxOGAAAAAElFTkSuQmCC")}.cropper-hide{display:block;height:0;position:absolute;width:0}.cropper-hidden{display:none!important}.cropper-move{cursor:move}.cropper-crop{cursor:crosshair}.cropper-disabled .cropper-drag-box,.cropper-disabled .cropper-face,.cropper-disabled .cropper-line,.cropper-disabled .cropper-point{cursor:not-allowed} | 3,742 | cropper.min | css | en | css | data | {"qsc_code_num_words": 588, "qsc_code_num_chars": 3742.0, "qsc_code_mean_word_length": 5.05782313, "qsc_code_frac_words_unique": 0.24659864, "qsc_code_frac_chars_top_2grams": 0.06052455, "qsc_code_frac_chars_top_3grams": 0.06859449, "qsc_code_frac_chars_top_4grams": 0.03362475, "qsc_code_frac_chars_dupe_5grams": 0.18426362, "qsc_code_frac_chars_dupe_6grams": 0.14189644, "qsc_code_frac_chars_dupe_7grams": 0.08809684, "qsc_code_frac_chars_dupe_8grams": 0.04909213, "qsc_code_frac_chars_dupe_9grams": 0.02891728, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.06462953, "qsc_code_frac_chars_whitespace": 0.01175842, "qsc_code_size_file_byte": 3742.0, "qsc_code_num_lines": 9.0, "qsc_code_num_chars_line_max": 3558.0, "qsc_code_num_chars_line_mean": 415.77777778, "qsc_code_frac_chars_alphabet": 0.73958897, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.11111111, "qsc_code_frac_chars_string_length": 0.06625701, "qsc_code_frac_chars_long_word_length": 0.06572268, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 1, "qsc_code_num_chars_line_max": 1, "qsc_code_num_chars_line_mean": 1, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0} |
1c-syntax/ssl_3_1 | src/cf/Reports/АнализВерсийОбъектов/Ext/Help/ru.html | <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"><html><head><meta content="text/html;charset=utf-8" http-equiv="content-type"></meta><link rel="stylesheet" type="text/css" href="v8help://service_book/service_style"></link><meta name="GENERATOR" content="MSHTML 9.00.8112.16421"></meta></head><body>
<p>Предназначен для получения статистики по хранимым версиям объектов приложения.</p>
<p>Открывается по команде <strong>Количество и объем хранимых версий объектов</strong> из <a href="InformationRegister.НастройкиВерсионированияОбъектов/Help">настроек версионирования</a>.</p>
<p>Если ограничен размер устройства, предназначенного для хранения данных приложения, с помощью отчета можно контролировать объем хранимых версий объектов в сравнении и принять решение о сокращении числа хранимых версий.</p>
<p>В отчете выводится:</p>
<ul><li>Диаграмма <strong>Объем хранимых версий по типам объектов</strong>;
</li>
<li>Диаграмма <strong>Количество хранимых версий по типам объектов</strong>;
</li>
<li>Таблица <strong>Количество и объем хранимых версий объектов</strong> - числовые данные по количеству и объему хранимых версий объектов. Состоит из колонок:
<ul><li><strong>Тип объекта</strong> - объект приложения;
</li>
<li><strong>Количество</strong> - количество версий объекта;
</li>
<li><strong>Размер данных (Мб)</strong> - объем, занимаемый версиями объекта.</li></ul></li></ul><h3 style="MARGIN: 0cm 0cm 6pt">См. также: </h3>
<ul><li>
<div style="MARGIN: 0cm 0cm 6pt"><a href="CommonForm.ФормаОтчета/Help">Работа с отчетами</a>;</div>
</li>
<li>
<div style="MARGIN: 0cm 0cm 6pt"><a href="CommonForm.ФормаНастроекОтчета/Help">Настройки отчетов</a>.</div></li></ul></body></html> | 1,702 | ru | html | ru | html | code | {"qsc_code_num_words": 242, "qsc_code_num_chars": 1702.0, "qsc_code_mean_word_length": 5.28512397, "qsc_code_frac_words_unique": 0.47107438, "qsc_code_frac_chars_top_2grams": 0.07662236, "qsc_code_frac_chars_top_3grams": 0.05942142, "qsc_code_frac_chars_top_4grams": 0.06333073, "qsc_code_frac_chars_dupe_5grams": 0.21735731, "qsc_code_frac_chars_dupe_6grams": 0.20172009, "qsc_code_frac_chars_dupe_7grams": 0.20172009, "qsc_code_frac_chars_dupe_8grams": 0.20172009, "qsc_code_frac_chars_dupe_9grams": 0.06254887, "qsc_code_frac_chars_dupe_10grams": 0.06254887, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01806452, "qsc_code_frac_chars_whitespace": 0.0893067, "qsc_code_size_file_byte": 1702.0, "qsc_code_num_lines": 20.0, "qsc_code_num_chars_line_max": 314.0, "qsc_code_num_chars_line_mean": 85.1, "qsc_code_frac_chars_alphabet": 0.80645161, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.25, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.19506463, "qsc_code_frac_chars_long_word_length": 0.1039953, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codehtml_cate_ast": 1.0, "qsc_codehtml_frac_words_text": 0.5, "qsc_codehtml_num_chars_text": 851.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_codehtml_cate_ast": 0, "qsc_codehtml_frac_words_text": 0, "qsc_codehtml_num_chars_text": 0} |
1y33/100Days | day65/quant.cpp | #include <hip/hip_runtime.h>
#include <iostream>
#include <cmath>
#include <cfloat>
#include <cstdlib>
#define QMIN -128
#define QMAX 127
__global__ void reduceMinMaxKernel(const float* __restrict__ input,
float* __restrict__ partialMins,
float* __restrict__ partialMaxs,
int N, int C)
{
int channel = blockIdx.y;
int rowStart = blockIdx.x * blockDim.x;
int tid = threadIdx.x;
float localMin = FLT_MAX;
float localMax = -FLT_MAX;
for (int i = rowStart + tid; i < N && i < rowStart + blockDim.x; i += blockDim.x) {
float val = input[i * C + channel];
localMin = fminf(localMin, val);
localMax = fmaxf(localMax, val);
}
extern __shared__ float sdata[];
float* smin = sdata;
float* smax = sdata + blockDim.x;
smin[tid] = localMin;
smax[tid] = localMax;
__syncthreads();
for (int s = blockDim.x / 2; s > 0; s /= 2) {
if (tid < s) {
smin[tid] = fminf(smin[tid], smin[tid + s]);
smax[tid] = fmaxf(smax[tid], smax[tid + s]);
}
__syncthreads();
}
if (tid == 0) {
int index = channel * gridDim.x + blockIdx.x;
partialMins[index] = smin[0];
partialMaxs[index] = smax[0];
}
}
__global__ void quantizeKernel(const float* __restrict__ input,
signed char* __restrict__ output,
int totalElements, int C,
const float* __restrict__ scales,
const float* __restrict__ zeroPoints)
{
int idx = blockDim.x * blockIdx.x + threadIdx.x;
if (idx < totalElements) {
int channel = idx % C;
float scale = scales[channel];
float zeroPoint = zeroPoints[channel];
float q = roundf(input[idx] / scale + zeroPoint);
q = fminf(fmaxf(q, (float)QMIN), (float)QMAX);
output[idx] = static_cast<signed char>(q);
}
}
int main()
{
const int N = 2048;
const int C = 32;
int totalElements = N * C;
size_t dataSize = totalElements * sizeof(float);
size_t outputSize = totalElements * sizeof(signed char);
float* h_input = new float[totalElements];
signed char* h_output = new signed char[totalElements];
for (int i = 0; i < totalElements; i++) {
h_input[i] = static_cast<float>(rand()) / RAND_MAX * 10.0f;
}
float* d_input;
signed char* d_output;
hipMalloc(&d_input, dataSize);
hipMalloc(&d_output, outputSize);
hipMemcpy(d_input, h_input, dataSize, hipMemcpyHostToDevice);
int blockSize = 256;
int numRowBlocks = (N + blockSize - 1) / blockSize;
dim3 gridReduce(numRowBlocks, C);
size_t sharedMemSize = 2 * blockSize * sizeof(float);
int partialSize = C * numRowBlocks;
float* d_partialMins;
float* d_partialMaxs;
hipMalloc(&d_partialMins, partialSize * sizeof(float));
hipMalloc(&d_partialMaxs, partialSize * sizeof(float));
hipLaunchKernelGGL(reduceMinMaxKernel,
gridReduce,
blockSize,
sharedMemSize,
0,
d_input,
d_partialMins,
d_partialMaxs,
N, C);
hipDeviceSynchronize();
float* h_partialMins = new float[partialSize];
float* h_partialMaxs = new float[partialSize];
hipMemcpy(h_partialMins, d_partialMins, partialSize * sizeof(float), hipMemcpyDeviceToHost);
hipMemcpy(h_partialMaxs, d_partialMaxs, partialSize * sizeof(float), hipMemcpyDeviceToHost);
float* h_scales = new float[C];
float* h_zeroPoints = new float[C];
for (int c = 0; c < C; c++) {
float channelMin = FLT_MAX;
float channelMax = -FLT_MAX;
for (int b = 0; b < numRowBlocks; b++) {
int index = c * numRowBlocks + b;
channelMin = fminf(channelMin, h_partialMins[index]);
channelMax = fmaxf(channelMax, h_partialMaxs[index]);
}
float scale = (channelMax - channelMin) / (QMAX - QMIN);
if (scale == 0) scale = 1e-6f;
float zeroPoint = roundf(QMIN - channelMin / scale);
zeroPoint = fminf(fmaxf(zeroPoint, (float)QMIN), (float)QMAX);
h_scales[c] = scale;
h_zeroPoints[c] = zeroPoint;
std::cout << "Channel " << c << " | Min: " << channelMin
<< " | Max: " << channelMax
<< " | Scale: " << scale
<< " | ZeroPoint: " << zeroPoint << std::endl;
}
float* d_scales;
float* d_zeroPoints;
hipMalloc(&d_scales, C * sizeof(float));
hipMalloc(&d_zeroPoints, C * sizeof(float));
hipMemcpy(d_scales, h_scales, C * sizeof(float), hipMemcpyHostToDevice);
hipMemcpy(d_zeroPoints, h_zeroPoints, C * sizeof(float), hipMemcpyHostToDevice);
int totalThreads = totalElements;
int quantBlockSize = 256;
int quantNumBlocks = (totalThreads + quantBlockSize - 1) / quantBlockSize;
hipLaunchKernelGGL(quantizeKernel,
quantNumBlocks,
quantBlockSize,
0, 0,
d_input,
d_output,
totalElements,
C,
d_scales,
d_zeroPoints);
hipDeviceSynchronize();
hipMemcpy(h_output, d_output, outputSize, hipMemcpyDeviceToHost);
std::cout << "\nQuantized Output (first 10 elements):\n";
for (int i = 0; i < 10; i++) {
int channel = i % C;
std::cout << "Input: " << h_input[i] << " (Channel " << channel << ") --> Quantized: "
<< static_cast<int>(h_output[i]) << " (Scale: " << h_scales[channel]
<< ", ZeroPoint: " << h_zeroPoints[channel] << ")\n";
}
hipFree(d_input);
hipFree(d_output);
hipFree(d_partialMins);
hipFree(d_partialMaxs);
hipFree(d_scales);
hipFree(d_zeroPoints);
delete[] h_input;
delete[] h_output;
delete[] h_partialMins;
delete[] h_partialMaxs;
delete[] h_scales;
delete[] h_zeroPoints;
return 0;
}
| 6,241 | quant | cpp | en | cpp | code | {"qsc_code_num_words": 641, "qsc_code_num_chars": 6241.0, "qsc_code_mean_word_length": 5.29953198, "qsc_code_frac_words_unique": 0.17784711, "qsc_code_frac_chars_top_2grams": 0.03238151, "qsc_code_frac_chars_top_3grams": 0.02119517, "qsc_code_frac_chars_top_4grams": 0.01354136, "qsc_code_frac_chars_dupe_5grams": 0.04533412, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01085162, "qsc_code_frac_chars_whitespace": 0.32078193, "qsc_code_size_file_byte": 6241.0, "qsc_code_num_lines": 181.0, "qsc_code_num_chars_line_max": 97.0, "qsc_code_num_chars_line_mean": 34.48066298, "qsc_code_frac_chars_alphabet": 0.79051663, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0375, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.02371415, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codecpp_frac_lines_preprocessor_directives": 0.04375, "qsc_codecpp_frac_lines_func_ratio": 0.09375, "qsc_codecpp_cate_bitsstdc": 0.0, "qsc_codecpp_nums_lines_main": 1.0, "qsc_codecpp_frac_lines_goto": 0.0, "qsc_codecpp_cate_var_zero": 0.0, "qsc_codecpp_score_lines_no_logic": 0.13125, "qsc_codecpp_frac_lines_print": 0.01875} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecpp_frac_lines_func_ratio": 0, "qsc_codecpp_nums_lines_main": 0, "qsc_codecpp_score_lines_no_logic": 0, "qsc_codecpp_frac_lines_preprocessor_directives": 0, "qsc_codecpp_frac_lines_print": 0} |
1y33/100Days | day36/random.cpp | #include <hip/hip_runtime.h>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#define BLOCK_SIZE 256
__global__ void reductionKernelOptimized(const float *g_in, float *g_out, int n) {
extern __shared__ float sdata[];
unsigned int tid = threadIdx.x;
unsigned int idx = blockIdx.x * (BLOCK_SIZE * 2) + tid;
float mySum = 0.0f;
if (idx < n)
mySum = g_in[idx];
if (idx + BLOCK_SIZE < n)
mySum += g_in[idx + BLOCK_SIZE];
sdata[tid] = mySum;
__syncthreads();
for (unsigned int s = BLOCK_SIZE / 2; s > 32; s >>= 1) {
if (tid < s)
sdata[tid] += sdata[tid + s];
__syncthreads();
}
if (tid < 32) {
volatile float *vsmem = sdata;
vsmem[tid] += vsmem[tid + 32];
vsmem[tid] += vsmem[tid + 16];
vsmem[tid] += vsmem[tid + 8];
vsmem[tid] += vsmem[tid + 4];
vsmem[tid] += vsmem[tid + 2];
vsmem[tid] += vsmem[tid + 1];
}
if (tid == 0)
g_out[blockIdx.x] = sdata[0];
}
int main() {
int n = 1 << 20;
size_t size = n * sizeof(float);
float *h_array = (float*)malloc(size);
for (int i = 0; i < n; i++) {
h_array[i] = 1.0f;
}
float *d_in, *d_out;
hipMalloc(&d_in, size);
int numBlocks = (n + BLOCK_SIZE * 2 - 1) / (BLOCK_SIZE * 2);
hipMalloc(&d_out, numBlocks * sizeof(float));
hipMemcpy(d_in, h_array, size, hipMemcpyHostToDevice);
size_t sharedMemSize = BLOCK_SIZE * sizeof(float);
hipLaunchKernelGGL(reductionKernelOptimized, dim3(numBlocks), dim3(BLOCK_SIZE), sharedMemSize, 0, d_in, d_out, n);
hipDeviceSynchronize();
float *h_partialSums = (float*)malloc(numBlocks * sizeof(float));
hipMemcpy(h_partialSums, d_out, numBlocks * sizeof(float), hipMemcpyDeviceToHost);
float sum = 0.0f;
for (int i = 0; i < numBlocks; i++) {
sum += h_partialSums[i];
}
printf("Reduction result: %f (expected %f)\n", sum, (float)n);
free(h_array);
free(h_partialSums);
hipFree(d_in);
hipFree(d_out);
return 0;
}
| 2,082 | random | cpp | en | cpp | code | {"qsc_code_num_words": 280, "qsc_code_num_chars": 2082.0, "qsc_code_mean_word_length": 4.125, "qsc_code_frac_words_unique": 0.25714286, "qsc_code_frac_chars_top_2grams": 0.08311688, "qsc_code_frac_chars_top_3grams": 0.06753247, "qsc_code_frac_chars_top_4grams": 0.08311688, "qsc_code_frac_chars_dupe_5grams": 0.07792208, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.025, "qsc_code_frac_chars_whitespace": 0.26993276, "qsc_code_size_file_byte": 2082.0, "qsc_code_num_lines": 78.0, "qsc_code_num_chars_line_max": 119.0, "qsc_code_num_chars_line_mean": 26.69230769, "qsc_code_frac_chars_alphabet": 0.73486842, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.03278689, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.01729107, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codecpp_frac_lines_preprocessor_directives": 0.08196721, "qsc_codecpp_frac_lines_func_ratio": 0.1147541, "qsc_codecpp_cate_bitsstdc": 0.0, "qsc_codecpp_nums_lines_main": 1.0, "qsc_codecpp_frac_lines_goto": 0.0, "qsc_codecpp_cate_var_zero": 0.0, "qsc_codecpp_score_lines_no_logic": 0.19672131, "qsc_codecpp_frac_lines_print": 0.01639344} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecpp_frac_lines_func_ratio": 0, "qsc_codecpp_nums_lines_main": 0, "qsc_codecpp_score_lines_no_logic": 0, "qsc_codecpp_frac_lines_preprocessor_directives": 0, "qsc_codecpp_frac_lines_print": 0} |
1ytic/warp-rnnt | tensorflow_binding/binding.cpp | #define EIGEN_USE_GPU
#include <cuda.h>
#include <iostream>
#include <algorithm>
#include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/framework/bounds_check.h"
#include "tensorflow/core/framework/shape_inference.h"
#include "core.h"
static const char* transducerGetStatusString(rnntStatus_t status) {
switch (status) {
case RNNT_STATUS_SUCCESS:
return "no error";
case RNNT_STATUS_WARP_FAILED:
return "warp failed";
case RNNT_STATUS_GRADS_BLANK_FAILED:
return "grads blank failed";
case RNNT_STATUS_GRADS_LABEL_FAILED:
return "grads label failed";
case RNNT_STATUS_COSTS_FAILED:
default:
return "unknown error";
}
}
namespace tf = tensorflow;
REGISTER_OP("TransducerLoss")
.Input("log_probs: float32")
.Input("labels: int32")
.Input("frames_lengths: int32")
.Input("labels_lengths: int32")
.Attr("blank: int = 0")
.Attr("fastemit_lambda: float = 0.0")
.Output("costs: float32")
.Output("grads: float32")
.SetShapeFn([](tf::shape_inference::InferenceContext* c) {
c->set_output(0, c->input(2));
c->set_output(1, c->input(0));
return tf::Status::OK();
});
namespace transducer {
class TransducerLossOpBase : public tf::OpKernel {
public:
explicit TransducerLossOpBase(tf::OpKernelConstruction* ctx) : tf::OpKernel(ctx) {
OP_REQUIRES_OK(ctx, ctx->GetAttr("blank", &blank_));
OP_REQUIRES_OK(ctx, ctx->GetAttr("fastemit_lambda", &fastemit_lambda_));
}
void Compute(tf::OpKernelContext* ctx) override {
rnntStatus_t status;
auto cuda_stream = ctx->eigen_device<Eigen::GpuDevice>().stream();
const tf::Tensor* log_probs; // (N, T, U, V)
const tf::Tensor* labels; // (N, U-1)
const tf::Tensor* frames_lengths; // (N,)
const tf::Tensor* labels_lengths; // (N,)
OP_REQUIRES_OK(ctx, ctx->input("log_probs", &log_probs));
OP_REQUIRES_OK(ctx, ctx->input("labels", &labels));
OP_REQUIRES_OK(ctx, ctx->input("frames_lengths", &frames_lengths));
OP_REQUIRES_OK(ctx, ctx->input("labels_lengths", &labels_lengths));
OP_REQUIRES(ctx, log_probs->shape().dims() == 4,
tf::errors::InvalidArgument("transducer_loss log_probs is not a 4-Tensor"));
OP_REQUIRES(ctx, labels->shape().dims() == 2,
tf::errors::InvalidArgument("transducer_loss labels is not a 2-Tensor"));
OP_REQUIRES(ctx, tf::TensorShapeUtils::IsVector(frames_lengths->shape()),
tf::errors::InvalidArgument("transducer_loss frames_lengths is not a vector"));
OP_REQUIRES(ctx, tf::TensorShapeUtils::IsVector(labels_lengths->shape()),
tf::errors::InvalidArgument("transducer_loss labels_lengths is not a vector"));
const auto& log_probs_shape = log_probs->shape();
const auto N = log_probs_shape.dim_size(0);
const auto T = log_probs_shape.dim_size(1);
const auto U = log_probs_shape.dim_size(2);
const auto V = log_probs_shape.dim_size(3);
OP_REQUIRES(
ctx, tf::FastBoundsCheck(V, std::numeric_limits<int>::max()),
tf::errors::InvalidArgument("transducer_loss num_classes cannot exceed max int"));
OP_REQUIRES(
ctx, N == frames_lengths->dim_size(0),
tf::errors::InvalidArgument("transducer_loss len(frames_lengths) != batch_size. ",
"len(input_length): ", frames_lengths->dim_size(0),
" batch_size: ", N));
OP_REQUIRES(
ctx, U - 1 == labels->dim_size(1),
tf::errors::InvalidArgument("transducer_loss labels->dim_size(1) != he maximum number of output labels. ",
"labels->dim_size(1): ", labels->dim_size(1),
" the maximum number of output labels: ", U - 1));
OP_REQUIRES(ctx, labels_lengths->dim_size(0) == frames_lengths->dim_size(0),
tf::errors::InvalidArgument(
"transducer_loss labels_lengths and labels_values must contain the "
"same number of rows, but saw shapes: ",
labels_lengths->shape().DebugString(), " vs. ",
frames_lengths->shape().DebugString()));
// allocate output memory.
tf::Tensor* costs_ = nullptr;
OP_REQUIRES_OK(ctx, ctx->allocate_output("costs", frames_lengths->shape(), &costs_));
auto costs = costs_->vec<float>();
tf::Tensor* grads_ = nullptr;
OP_REQUIRES_OK(ctx, ctx->allocate_output("grads", log_probs->shape(), &grads_));
cudaMemset(grads_->flat<float>().data(), 0, grads_->NumElements()*sizeof(float));
auto grads = grads_->tensor<float, 4>();
// allocate temp memory.
tf::Tensor counts_;
OP_REQUIRES_OK(ctx, ctx->allocate_temp(tf::DT_INT32, tf::TensorShape({N, U * 2}), &counts_));
cudaMemset(counts_.flat<int32_t>().data(), 0, counts_.NumElements()*sizeof(int32_t));
auto counts = counts_.tensor<int32_t, 2>();
tf::Tensor alphas_;
OP_REQUIRES_OK(ctx, ctx->allocate_temp(tf::DT_FLOAT, tf::TensorShape({N, T, U}), &alphas_));
auto alphas = alphas_.tensor<float, 3>();
tf::Tensor betas_;
OP_REQUIRES_OK(ctx, ctx->allocate_temp(tf::DT_FLOAT, tf::TensorShape({N, T, U}), &betas_));
auto betas = betas_.tensor<float, 3>();
auto labels_t = labels->tensor<int32_t, 2>();
auto log_probs_t = log_probs->tensor<float, 4>();
auto labels_lengths_t = labels_lengths->vec<int32_t>();
auto frames_lengths_t = frames_lengths->vec<int32_t>();
if (blank_ == -1) {
status = run_warp_rnnt_gather(cuda_stream,
(unsigned int *)counts.data(),
alphas.data(), betas.data(),
log_probs_t.data(),
grads.data(), costs.data(),
frames_lengths_t.data(), labels_lengths_t.data(),
N, T, U, fastemit_lambda_
);
} else {
status = run_warp_rnnt(cuda_stream,
(unsigned int *)counts.data(),
alphas.data(), betas.data(),
labels_t.data(), log_probs_t.data(),
grads.data(), costs.data(),
frames_lengths_t.data(), labels_lengths_t.data(),
N, T, U, V, blank_, fastemit_lambda_
);
}
OP_REQUIRES(ctx, status == RNNT_STATUS_SUCCESS,
tf::errors::Internal("transducer compute error in run_warp_rnnt: ", transducerGetStatusString(status))
);
}
private:
int blank_;
float fastemit_lambda_;
TF_DISALLOW_COPY_AND_ASSIGN(TransducerLossOpBase);
};
class TransducerLossOpGPU : public TransducerLossOpBase {
public:
explicit TransducerLossOpGPU(tf::OpKernelConstruction* ctx) : TransducerLossOpBase(ctx) {
}
private:
TF_DISALLOW_COPY_AND_ASSIGN(TransducerLossOpGPU);
};
REGISTER_KERNEL_BUILDER(Name("TransducerLoss").Device(::tensorflow::DEVICE_GPU)
.HostMemory("costs"),
TransducerLossOpGPU);
} /* namespace transducer */
#undef EIGEN_USE_GPU
| 7,182 | binding | cpp | en | cpp | code | {"qsc_code_num_words": 853, "qsc_code_num_chars": 7182.0, "qsc_code_mean_word_length": 4.99531067, "qsc_code_frac_words_unique": 0.1887456, "qsc_code_frac_chars_top_2grams": 0.04693734, "qsc_code_frac_chars_top_3grams": 0.03097864, "qsc_code_frac_chars_top_4grams": 0.0387233, "qsc_code_frac_chars_dupe_5grams": 0.34545881, "qsc_code_frac_chars_dupe_6grams": 0.24031917, "qsc_code_frac_chars_dupe_7grams": 0.17930063, "qsc_code_frac_chars_dupe_8grams": 0.13658766, "qsc_code_frac_chars_dupe_9grams": 0.11828209, "qsc_code_frac_chars_dupe_10grams": 0.11030275, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01130768, "qsc_code_frac_chars_whitespace": 0.23656363, "qsc_code_size_file_byte": 7182.0, "qsc_code_num_lines": 185.0, "qsc_code_num_chars_line_max": 119.0, "qsc_code_num_chars_line_mean": 38.82162162, "qsc_code_frac_chars_alphabet": 0.76582163, "qsc_code_frac_chars_comments": 0.01698691, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.1369863, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.14716714, "qsc_code_frac_chars_long_word_length": 0.01699717, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codecpp_frac_lines_preprocessor_directives": 0.07534247, "qsc_codecpp_frac_lines_func_ratio": 0.03424658, "qsc_codecpp_cate_bitsstdc": 0.0, "qsc_codecpp_nums_lines_main": 0.0, "qsc_codecpp_frac_lines_goto": 0.0, "qsc_codecpp_cate_var_zero": 0.0, "qsc_codecpp_score_lines_no_logic": 0.14383562, "qsc_codecpp_frac_lines_print": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codecpp_frac_lines_func_ratio": 0, "qsc_codecpp_nums_lines_main": 0, "qsc_codecpp_score_lines_no_logic": 0, "qsc_codecpp_frac_lines_preprocessor_directives": 0, "qsc_codecpp_frac_lines_print": 0} |
1zb/deformable-convolution-pytorch | src/deform_conv_cuda_kernel.cu | #include "deform_conv_cuda_kernel.h"
#include <cstdio>
#define CUDA_KERNEL_LOOP(i, n) \
for (int i = blockIdx.x * blockDim.x + threadIdx.x; i < (n); \
i += blockDim.x * gridDim.x)
const int CUDA_NUM_THREADS = 1024;
inline int GET_BLOCKS(const int N) {
return (N + CUDA_NUM_THREADS - 1) / CUDA_NUM_THREADS;
}
template <typename DType>
__device__ DType deformable_im2col_bilinear(const DType *bottom_data,
const int data_width,
const int height, const int width,
DType h, DType w) {
int h_low = floor(h);
int w_low = floor(w);
int h_high;
int w_high;
if (h_low >= height - 1) {
h_high = h_low = height - 1;
h = (DType)h_low;
} else {
h_high = h_low + 1;
}
if (w_low >= width - 1) {
w_high = w_low = width - 1;
w = (DType)w_low;
} else {
w_high = w_low + 1;
}
DType lh = h - h_low;
DType lw = w - w_low;
DType hh = 1 - lh, hw = 1 - lw;
DType v1 = bottom_data[h_low * data_width + w_low];
DType v2 = bottom_data[h_low * data_width + w_high];
DType v3 = bottom_data[h_high * data_width + w_low];
DType v4 = bottom_data[h_high * data_width + w_high];
DType w1 = hh * hw, w2 = hh * lw, w3 = lh * hw, w4 = lh * lw;
DType val = (w1 * v1 + w2 * v2 + w3 * v3 + w4 * v4);
return val;
}
template <typename DType>
__device__ DType get_gradient_weight(DType argmax_h, DType argmax_w,
const int h, const int w, const int height,
const int width) {
if (argmax_h < 0 || argmax_h > height || argmax_w < 0 || argmax_w > width) {
// empty
return 0;
}
argmax_h = max(argmax_h, (DType)0.0f);
argmax_w = max(argmax_w, (DType)0.0f);
int argmax_h_low = (int)argmax_h;
int argmax_w_low = (int)argmax_w;
int argmax_h_high;
int argmax_w_high;
if (argmax_h_low >= height - 1) {
argmax_h_high = argmax_h_low = height - 1;
argmax_h = (DType)argmax_h_low;
} else {
argmax_h_high = argmax_h_low + 1;
}
if (argmax_w_low >= width - 1) {
argmax_w_high = argmax_w_low = width - 1;
argmax_w = (DType)argmax_w_low;
} else {
argmax_w_high = argmax_w_low + 1;
}
DType weight = 0;
if (h == argmax_h_low) {
if (w == argmax_w_low) {
weight = (h + 1 - argmax_h) * (w + 1 - argmax_w);
} else if (w == argmax_w_high) {
weight = (h + 1 - argmax_h) * (argmax_w + 1 - w);
}
} else if (h == argmax_h_high) {
if (w == argmax_w_low) {
weight = (argmax_h + 1 - h) * (w + 1 - argmax_w);
} else if (w == argmax_w_high) {
weight = (argmax_h + 1 - h) * (argmax_w + 1 - w);
}
}
return weight;
}
template <typename DType>
__device__ DType get_coordinate_weight(DType argmax_h, DType argmax_w,
const int height, const int width,
const DType *im_data,
const int data_width, const int bp_dir) {
if (argmax_h < 0 || argmax_h > height || argmax_w < 0 || argmax_w > width) {
// empty
return 0;
}
if (argmax_h < 0)
argmax_h = 0;
if (argmax_w < 0)
argmax_w = 0;
int argmax_h_low = (int)argmax_h;
int argmax_w_low = (int)argmax_w;
int argmax_h_high;
int argmax_w_high;
if (argmax_h_low >= height - 1) {
argmax_h_high = argmax_h_low = height - 1;
argmax_h = (DType)argmax_h_low;
} else {
argmax_h_high = argmax_h_low + 1;
}
if (argmax_w_low >= width - 1) {
argmax_w_high = argmax_w_low = width - 1;
argmax_w = (DType)argmax_w_low;
} else {
argmax_w_high = argmax_w_low + 1;
}
DType weight = 0;
if (bp_dir == 0) {
weight += -1 * (argmax_w_low + 1 - argmax_w) *
im_data[argmax_h_low * data_width + argmax_w_low];
weight += -1 * (argmax_w - argmax_w_low) *
im_data[argmax_h_low * data_width + argmax_w_high];
weight += (argmax_w_low + 1 - argmax_w) *
im_data[argmax_h_high * data_width + argmax_w_low];
weight += (argmax_w - argmax_w_low) *
im_data[argmax_h_high * data_width + argmax_w_high];
} else if (bp_dir == 1) {
weight += -1 * (argmax_h_low + 1 - argmax_h) *
im_data[argmax_h_low * data_width + argmax_w_low];
weight += (argmax_h_low + 1 - argmax_h) *
im_data[argmax_h_low * data_width + argmax_w_high];
weight += -1 * (argmax_h - argmax_h_low) *
im_data[argmax_h_high * data_width + argmax_w_low];
weight += (argmax_h - argmax_h_low) *
im_data[argmax_h_high * data_width + argmax_w_high];
}
return weight;
}
template <typename DType>
__global__ void deformable_im2col_gpu_kernel(
const int n, const DType *data_im, const DType *data_offset,
const int height, const int width, const int kernel_h, const int kernel_w,
const int pad_h, const int pad_w, const int stride_h, const int stride_w,
const int dilation_h, const int dilation_w,
const int channel_per_deformable_group, const int height_col,
const int width_col, DType *data_col) {
CUDA_KERNEL_LOOP(index, n) {
// index index of output matrix
const int w_col = index % width_col;
const int h_col = (index / width_col) % height_col;
const int c_im = (index / width_col) / height_col;
const int c_col = c_im * kernel_h * kernel_w;
// compute deformable group index
const int deformable_group_index = c_im / channel_per_deformable_group;
const int h_in = h_col * stride_h - pad_h;
const int w_in = w_col * stride_w - pad_w;
DType *data_col_ptr =
data_col + (c_col * height_col + h_col) * width_col + w_col;
const DType *data_im_ptr = data_im + (c_im * height + h_in) * width + w_in;
const DType *data_offset_ptr = data_offset + deformable_group_index * 2 *
kernel_h * kernel_w *
height_col * width_col;
for (int i = 0; i < kernel_h; ++i) {
for (int j = 0; j < kernel_w; ++j) {
const int data_offset_h_ptr =
((2 * (i * kernel_w + j)) * height_col + h_col) * width_col + w_col;
const int data_offset_w_ptr =
((2 * (i * kernel_w + j) + 1) * height_col + h_col) * width_col +
w_col;
const DType offset_h = data_offset_ptr[data_offset_h_ptr];
const DType offset_w = data_offset_ptr[data_offset_w_ptr];
DType val = static_cast<DType>(0);
const DType h_im = h_in + i * dilation_h + offset_h;
const DType w_im = w_in + j * dilation_w + offset_w;
if (h_im >= 0 && w_im >= 0 && h_im < height && w_im < width) {
const DType map_h = i * dilation_h + offset_h;
const DType map_w = j * dilation_w + offset_w;
const int cur_height = height - h_in;
const int cur_width = width - w_in;
val = deformable_im2col_bilinear(data_im_ptr, width, cur_height,
cur_width, map_h, map_w);
}
*data_col_ptr = val;
data_col_ptr += height_col * width_col;
}
}
}
}
template <typename DType>
void deformable_im2col(cudaStream_t stream, const DType *data_im,
const DType *data_offset, const int channels,
const int height, const int width, const int ksize_h,
const int ksize_w, const int pad_h, const int pad_w,
const int stride_h, const int stride_w,
const int dilation_h, const int dilation_w,
const int deformable_group, DType *data_col) {
// We are going to launch channels * height_col * width_col kernels, each
// kernel responsible for copying a single-channel grid.
int height_col =
(height + 2 * pad_h - (dilation_h * (ksize_h - 1) + 1)) / stride_h + 1;
int width_col =
(width + 2 * pad_w - (dilation_w * (ksize_w - 1) + 1)) / stride_w + 1;
int num_kernels = channels * height_col * width_col;
int channel_per_deformable_group = channels / deformable_group;
// Launch
deformable_im2col_gpu_kernel<<<GET_BLOCKS(num_kernels), CUDA_NUM_THREADS, 0,
stream>>>(
num_kernels, data_im, data_offset, height, width, ksize_h, ksize_w, pad_h,
pad_w, stride_h, stride_w, dilation_h, dilation_w,
channel_per_deformable_group, height_col, width_col, data_col);
cudaError_t err = cudaGetLastError();
if (err != cudaSuccess) {
printf("error in deformable_im2col: %s\n", cudaGetErrorString(err));
// TODO(BZ) panic
}
}
template void deformable_im2col<float>(
cudaStream_t stream, const float *data_im, const float *data_offset,
const int channels, const int height, const int width, const int ksize_h,
const int ksize_w, const int pad_h, const int pad_w, const int stride_h,
const int stride_w, const int dilation_h, const int dilation_w,
const int deformable_group, float *data_col);
template <typename DType>
__global__ void deformable_col2im_gpu_kernel(
const int n, const DType *data_col, const DType *data_offset,
const int channels, const int height, const int width, const int kernel_h,
const int kernel_w, const int pad_h, const int pad_w, const int stride_h,
const int stride_w, const int dilation_h, const int dilation_w,
const int channel_per_deformable_group, const int height_col,
const int width_col, DType *grad_im) {
CUDA_KERNEL_LOOP(index, n) {
const int j = (index / width_col / height_col) % kernel_w;
const int i = (index / width_col / height_col / kernel_w) % kernel_h;
const int c = index / width_col / height_col / kernel_w / kernel_h;
// compute the start and end of the output
const int deformable_group_index = c / channel_per_deformable_group;
int w_out = index % width_col;
int h_out = (index / width_col) % height_col;
int w_in = w_out * stride_w - pad_w;
int h_in = h_out * stride_h - pad_h;
const DType *data_offset_ptr = data_offset + deformable_group_index * 2 *
kernel_h * kernel_w *
height_col * width_col;
const int data_offset_h_ptr =
((2 * (i * kernel_w + j)) * height_col + h_out) * width_col + w_out;
const int data_offset_w_ptr =
((2 * (i * kernel_w + j) + 1) * height_col + h_out) * width_col + w_out;
const DType offset_h = data_offset_ptr[data_offset_h_ptr];
const DType offset_w = data_offset_ptr[data_offset_w_ptr];
const DType cur_inv_h_data = h_in + i * dilation_h + offset_h;
const DType cur_inv_w_data = w_in + j * dilation_w + offset_w;
const DType cur_top_grad = data_col[index];
const int cur_h = (int)cur_inv_h_data;
const int cur_w = (int)cur_inv_w_data;
for (int dy = -2; dy <= 2; dy++) {
for (int dx = -2; dx <= 2; dx++) {
if (cur_h + dy >= 0 && cur_h + dy < height && cur_w + dx >= 0 &&
cur_w + dx < width && abs(cur_inv_h_data - (cur_h + dy)) < 1 &&
abs(cur_inv_w_data - (cur_w + dx)) < 1) {
int cur_bottom_grad_pos =
(c * height + cur_h + dy) * width + cur_w + dx;
DType weight =
get_gradient_weight(cur_inv_h_data, cur_inv_w_data, cur_h + dy,
cur_w + dx, height, width);
atomicAdd(grad_im + cur_bottom_grad_pos, weight * cur_top_grad);
}
}
}
}
}
template <typename DType>
void deformable_col2im(cudaStream_t stream, const DType *data_col,
const DType *data_offset, const int channels,
const int height, const int width, const int ksize_h,
const int ksize_w, const int pad_h, const int pad_w,
const int stride_h, const int stride_w,
const int dilation_h, const int dilation_w,
const int deformable_group, DType *grad_im) {
int height_col =
(height + 2 * pad_h - (dilation_h * (ksize_h - 1) + 1)) / stride_h + 1;
int width_col =
(width + 2 * pad_w - (dilation_w * (ksize_w - 1) + 1)) / stride_w + 1;
int num_kernels = channels * ksize_h * ksize_w * height_col * width_col;
int channel_per_deformable_group = channels / deformable_group;
// To avoid involving atomic operations, we will launch one kernel per
// bottom dimension, and then in the kernel add up the top dimensions.
deformable_col2im_gpu_kernel<<<GET_BLOCKS(num_kernels), CUDA_NUM_THREADS, 0,
stream>>>(
num_kernels, data_col, data_offset, channels, height, width, ksize_h,
ksize_w, pad_h, pad_w, stride_h, stride_w, dilation_h, dilation_w,
channel_per_deformable_group, height_col, width_col, grad_im);
cudaError_t err = cudaGetLastError();
if (err != cudaSuccess) {
printf("error in deformable_col2im: %s\n", cudaGetErrorString(err));
// TODO(BZ) panic
}
}
template void deformable_col2im<float>(
cudaStream_t stream, const float *data_col, const float *data_offset,
const int channels, const int height, const int width, const int ksize_h,
const int ksize_w, const int pad_h, const int pad_w, const int stride_h,
const int stride_w, const int dilation_h, const int dilation_w,
const int deformable_group, float *grad_im);
template <typename DType>
__global__ void deformable_col2im_coord_gpu_kernel(
const int n, const DType *data_col, const DType *data_im,
const DType *data_offset, const int channels, const int height,
const int width, const int kernel_h, const int kernel_w, const int pad_h,
const int pad_w, const int stride_h, const int stride_w,
const int dilation_h, const int dilation_w,
const int channel_per_deformable_group, const int height_col,
const int width_col, DType *grad_offset) {
CUDA_KERNEL_LOOP(index, n) {
DType val = 0;
int w = index % width_col;
int h = (index / width_col) % height_col;
int c = index / width_col / height_col;
// compute the start and end of the output
const int deformable_group_index = c / (2 * kernel_h * kernel_w);
const int col_step = kernel_h * kernel_w;
int cnt = 0;
const DType *data_col_ptr = data_col + deformable_group_index *
channel_per_deformable_group *
width_col * height_col;
const DType *data_im_ptr =
data_im + deformable_group_index * channel_per_deformable_group /
kernel_h / kernel_w * height * width;
const DType *data_offset_ptr = data_offset + deformable_group_index * 2 *
kernel_h * kernel_w *
height_col * width_col;
const int offset_c = c - deformable_group_index * 2 * kernel_h * kernel_w;
for (int col_c = (offset_c / 2); col_c < channel_per_deformable_group;
col_c += col_step) {
const int col_pos = ((col_c * height_col) + h) * width_col + w;
const int bp_dir = offset_c % 2;
int j = (col_pos / width_col / height_col) % kernel_w;
int i = (col_pos / width_col / height_col / kernel_w) % kernel_h;
int w_out = col_pos % width_col;
int h_out = (col_pos / width_col) % height_col;
int w_in = w_out * stride_w - pad_w;
int h_in = h_out * stride_h - pad_h;
const int data_offset_h_ptr =
(((2 * (i * kernel_w + j)) * height_col + h_out) * width_col + w_out);
const int data_offset_w_ptr =
(((2 * (i * kernel_w + j) + 1) * height_col + h_out) * width_col +
w_out);
const DType offset_h = data_offset_ptr[data_offset_h_ptr];
const DType offset_w = data_offset_ptr[data_offset_w_ptr];
DType inv_h = h_in + i * dilation_h + offset_h;
DType inv_w = w_in + j * dilation_w + offset_w;
if (inv_h < 0 || inv_w < 0 || inv_h >= height || inv_w >= width) {
inv_h = inv_w = -1;
}
const DType weight = get_coordinate_weight(
inv_h, inv_w, height, width, data_im_ptr + cnt * height * width,
width, bp_dir);
val += weight * data_col_ptr[col_pos];
cnt += 1;
}
grad_offset[index] = val;
}
}
template <typename DType>
void deformable_col2im_coord(cudaStream_t stream, const DType *data_col,
const DType *data_im, const DType *data_offset,
const int channels, const int height,
const int width, const int ksize_h,
const int ksize_w, const int pad_h,
const int pad_w, const int stride_h,
const int stride_w, const int dilation_h,
const int dilation_w, const int deformable_group,
DType *grad_offset) {
int height_col =
(height + 2 * pad_h - (dilation_h * (ksize_h - 1) + 1)) / stride_h + 1;
int width_col =
(width + 2 * pad_w - (dilation_w * (ksize_w - 1) + 1)) / stride_w + 1;
int num_kernels =
height_col * width_col * 2 * ksize_h * ksize_w * deformable_group;
int channel_per_deformable_group =
channels * ksize_h * ksize_w / deformable_group;
// To avoid involving atomic operations, we will launch one kernel per
// bottom dimension, and then in the kernel add up the top dimensions.
deformable_col2im_coord_gpu_kernel<<<GET_BLOCKS(num_kernels),
CUDA_NUM_THREADS, 0, stream>>>(
num_kernels, data_col, data_im, data_offset, channels, height, width,
ksize_h, ksize_w, pad_h, pad_w, stride_h, stride_w, dilation_h,
dilation_w, channel_per_deformable_group, height_col, width_col,
grad_offset);
cudaError_t err = cudaGetLastError();
if (err != cudaSuccess) {
printf("error in deformable_col2im: %s\n", cudaGetErrorString(err));
// TODO(BZ) panic
}
}
template void
deformable_col2im_coord(cudaStream_t stream, const float *data_col,
const float *data_im, const float *data_offset,
const int channels, const int height, const int width,
const int ksize_h, const int ksize_w, const int pad_h,
const int pad_w, const int stride_h, const int stride_w,
const int dilation_h, const int dilation_w,
const int deformable_group, float *grad_offset);
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1ytic/warp-rnnt | tensorflow_binding/core_gather.cu | #include "core.h"
#include <stdio.h>
#include <assert.h>
#include <algorithm>
#include <cuda_runtime_api.h>
#include <device_atomic_functions.h>
#include <device_launch_parameters.h>
#define W 32
#define G 1024
#define B 256
__forceinline__ __device__ static int idx3(int n, int t, int u, int T, int U) {
return n * (T * U) + t * U + u;
}
__forceinline__ __device__ static int idx4(int n, int t, int u, int v, int T, int U, int V) {
return n * (T * U * V) + t * (U * V) + u * V + v;
}
__forceinline__ __device__ static float log_sum_exp(float a, float b) {
float maximum, diff;
if (a > b) {
maximum = a;
diff = b-a;
} else {
maximum = b;
diff = a-b;
}
//if (diff > -42) {
maximum += log1pf(expf(diff));
//}
return maximum;
}
__device__
void kernel_warp_alphas(unsigned int *counts, volatile float *alphas,
const float *log_probs,
const int *xn, const int *yn, int T, int U) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y + 1;
unsigned int n = blockIdx.z;
unsigned int p = g * W;
unsigned int t = p + d + 1;
assert (d < W);
assert (u <= U);
assert (gridDim.y == U);
assert (blockDim.x == W);
int actual_t = xn[n];
int actual_u = yn[n] + 1;
if (t > actual_t || u > actual_u)
return;
unsigned int *lock = counts + n * U * 2 + blockIdx.y;
if (blockIdx.x == 0 && blockIdx.y == 0) {
alphas[idx3(n, 0, 0, T, U)] = 0;
}
if (blockIdx.x > 0) {
// Wait previous row
do {} while (atomicAdd(lock, 0) < g);
}
if (blockIdx.y > 0) {
// Wait previous column
do {} while (atomicAdd(lock-1, 0) <= g);
}
if (blockIdx.x == 0 && u < actual_u) {
// Compute initial row value
float a = alphas[idx3(n, 0, u-1, T, U)];
float b = log_probs[idx4(n, 0, u-1, 1, T, U, 2)];
alphas[idx3(n, 0, u, T, U)] = a + b;
}
if (blockIdx.y == 0 && t < actual_t) {
// Compute initial column with local scan algorithm
float a;
float b = log_probs[idx4(n, t-1, 0, 0, T, U, 2)];
#pragma unroll
for(unsigned int i = 1; i < W; i *= 2) {
a = __shfl_up_sync(0xffffffff, b, i);
if (i <= d) {
b += a;
}
}
a = alphas[idx3(n, p, 0, T, U)];
alphas[idx3(n, t, 0, T, U)] = a + b;
}
if (t < actual_t && u < actual_u) {
// Ready to compute alphas[t, u]
float bias = log_probs[idx4(n, t-1, u, 0, T, U, 2)];
float skip = alphas[idx3(n, p, u, T, U)] + bias;
float emit = alphas[idx3(n, t, u-1, T, U)] + log_probs[idx4(n, t, u-1, 1, T, U, 2)];
float r = log_sum_exp(skip, emit);
float output = r;
for(unsigned int i = 1; i < W; i++) {
r = __shfl_up_sync(0xffffffff, r, 1);
if (i == d) {
r = log_sum_exp(r + bias, emit);
output = r;
}
}
alphas[idx3(n, t, u, T, U)] = output;
}
if (d == 0) {
// https://stackoverflow.com/a/5233737
__threadfence();
atomicAdd(lock, 1);
}
}
__device__
void kernel_warp_betas(unsigned int *counts, volatile float *betas,
const float *log_probs,
const int *xn, const int *yn, int T, int U) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y + 1;
unsigned int n = blockIdx.z;
unsigned int p = g * W;
unsigned int t = p + d + 1;
assert (d < W);
assert (u <= U);
assert (gridDim.y == U);
assert (blockDim.x == W);
int actual_t = xn[n];
int actual_u = yn[n] + 1;
if (t > actual_t || u > actual_u)
return;
int T1 = actual_t - 1;
int U1 = actual_u - 1;
unsigned int *lock = counts + n * U * 2 + U + blockIdx.y;
if (blockIdx.x == 0 && blockIdx.y == 0) {
betas[idx3(n, T1, U1, T, U)] = log_probs[idx4(n, T1, U1, 0, T, U, 2)];
}
if (blockIdx.x > 0) {
// Wait previous row
do {} while (atomicAdd(lock, 0) < g);
}
if (blockIdx.y > 0) {
// Wait previous column
do {} while (atomicAdd(lock-1, 0) <= g);
}
if (blockIdx.x == 0 && u < actual_u) {
// Compute last row value
float a = betas[idx3(n, T1, U1-u+1, T, U)];
float b = log_probs[idx4(n, T1, U1-u, 1, T, U, 2)];
betas[idx3(n, T1, U1-u, T, U)] = a + b;
}
if (blockIdx.y == 0 && t < actual_t) {
// Compute last column with local scan algorithm
float a;
float b = log_probs[idx4(n, T1-t, U1, 0, T, U, 2)];
#pragma unroll
for(unsigned int i = 1; i < W; i *= 2) {
a = __shfl_up_sync(0xffffffff, b, i);
if (i <= d) {
b += a;
}
}
a = betas[idx3(n, T1-p, U1, T, U)];
betas[idx3(n, T1-t, U1, T, U)] = a + b;
}
if (t < actual_t && u < actual_u) {
// Ready to compute betas[T1-t, U1-u]
float bias = log_probs[idx4(n, T1-t, U1-u, 0, T, U, 2)];
float skip = betas[idx3(n, T1-p, U1-u, T, U)] + bias;
float emit = betas[idx3(n, T1-t, U1-u+1, T, U)] + log_probs[idx4(n, T1-t, U1-u, 1, T, U, 2)];
float r = log_sum_exp(skip, emit);
float output = r;
for(unsigned int i = 1; i < W; i++) {
r = __shfl_up_sync(0xffffffff, r, 1);
if (i == d) {
r = log_sum_exp(r + bias, emit);
output = r;
}
}
betas[idx3(n, T1-t, U1-u, T, U)] = output;
}
if (d == 0) {
// https://stackoverflow.com/a/5233737
__threadfence();
atomicAdd(lock, 1);
}
}
__global__
void kernel_warp(unsigned int *counts, volatile float *alphas, volatile float *betas,
const float *log_probs,
const int *xn, const int *yn, int T, int U) {
if (threadIdx.y == 0) {
kernel_warp_alphas(counts, alphas, log_probs, xn, yn, T, U);
}
else if (threadIdx.y == 1) {
kernel_warp_betas(counts, betas, log_probs, xn, yn, T, U);
}
}
__global__
void kernel_grads_blank(float *grads, const float *alphas, const float *betas,
const float *log_probs,
const int *xn, const int *yn, int T, int U) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y;
unsigned int n = blockIdx.z;
unsigned int t = g * G + d;
assert (u < U);
assert (d < G);
assert (blockDim.x == G);
assert (gridDim.y == U);
int actual_t = xn[n];
int actual_u = yn[n] + 1;
if (t >= actual_t || u >= actual_u)
return;
if (t == actual_t-1 && u < actual_u-1)
return;
float a = alphas[idx3(n, t, u, T, U)];
if (t < actual_t-1) {
a += betas[idx3(n, t+1, u, T, U)];
}
unsigned int index = idx4(n, t, u, 0, T, U, 2);
a = expf(a + log_probs[index] - betas[idx3(n, 0, 0, T, U)]);
grads[index] = -a;
}
__global__
void kernel_grads_label(float *grads, const float *alphas, const float *betas,
const float *log_probs,
const int *xn, const int *yn, int T, int U, float fastemit_lambda) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y;
unsigned int n = blockIdx.z;
unsigned int t = g * G + d;
assert (u < U - 1);
assert (d < G);
assert (blockDim.x == G);
assert (gridDim.y == U - 1);
int actual_t = xn[n];
int actual_u = yn[n];
if (t >= actual_t || u >= actual_u)
return;
float a = alphas[idx3(n, t, u, T, U)] + betas[idx3(n, t, u+1, T, U)];
unsigned int index = idx4(n, t, u, 1, T, U, 2);
a = expf(a + log_probs[index] - betas[idx3(n, 0, 0, T, U)]);
// apply FastEmit regularization
// https://arxiv.org/abs/2010.11148
a = (1. + fastemit_lambda) * a;
grads[index] = -a;
}
__global__
void kernel_fill_costs(float *costs, float *grads, const float *alphas, const float *betas, const float *log_probs,
const int *xn, const int *yn, int N, int T, int U) {
unsigned int n = blockIdx.x * blockDim.x + threadIdx.x;
if (n >= N)
return;
int t = xn[n] - 1;
int u = yn[n];
float a = alphas[idx3(n, t, u, T, U)] + log_probs[idx4(n, t, u, 0, T, U, 2)];
float b = betas[idx3(n, 0, 0, T, U)];
float ratio = fabsf(a - b) / fabsf(fmaxf(a, b));
if (ratio > 0.001) {
printf("\nWARNING: sample %d [%d, %d] has a forward/backward mismatch %f / %f\n",
n, t + 1, u, a, b);
float *g = grads + idx4(n, 0, 0, 0, T, U, 2);
for (int i = 0; i < T; ++i) {
for (int j = 0; j < U; ++j) {
for (int v = 0; v < 2; ++v, ++g) {
*g = 0;
}
}
}
b = (a + b) / 2.0f;
}
costs[n] = -b;
}
rnntStatus_t run_warp_rnnt_gather(cudaStream_t stream, unsigned int *counts, float *alphas, float *betas,
const float *log_probs, float *grads, float *costs,
const int *xn, const int *yn, int N, int T, int U, float fastemit_lambda) {
dim3 threads1(W, 2);
dim3 blocks1((T + W - 1) / W, U, N);
kernel_warp <<<blocks1, threads1, 0, stream>>> (counts, alphas, betas, log_probs, xn, yn, T, U);
if (cudaGetLastError() != cudaSuccess)
return RNNT_STATUS_WARP_FAILED;
dim3 blocks2((T + G - 1) / G, U, N);
kernel_grads_blank <<<blocks2, G, 0, stream>>> (grads, alphas, betas, log_probs, xn, yn, T, U);
if (cudaGetLastError() != cudaSuccess)
return RNNT_STATUS_GRADS_BLANK_FAILED;
if (U > 1) {
dim3 blocks3((T + G - 1) / G, U - 1, N);
kernel_grads_label <<<blocks3, G, 0, stream>>> (grads, alphas, betas, log_probs, xn, yn, T, U, fastemit_lambda);
if (cudaGetLastError() != cudaSuccess)
return RNNT_STATUS_GRADS_LABEL_FAILED;
}
dim3 blocks4((N + B - 1) / B, 1, 1);
kernel_fill_costs <<<blocks4, B, 0, stream>>> (costs, grads, alphas, betas, log_probs, xn, yn, N, T, U);
if (cudaGetLastError() != cudaSuccess)
return RNNT_STATUS_COSTS_FAILED;
return RNNT_STATUS_SUCCESS;
}
| 10,472 | core_gather | cu | en | cuda | code | {"qsc_code_num_words": 1585, "qsc_code_num_chars": 10472.0, "qsc_code_mean_word_length": 3.24605678, "qsc_code_frac_words_unique": 0.09589905, "qsc_code_frac_chars_top_2grams": 0.02487852, "qsc_code_frac_chars_top_3grams": 0.00816327, "qsc_code_frac_chars_top_4grams": 0.01710398, "qsc_code_frac_chars_dupe_5grams": 0.72380952, "qsc_code_frac_chars_dupe_6grams": 0.70009718, "qsc_code_frac_chars_dupe_7grams": 0.63770651, "qsc_code_frac_chars_dupe_8grams": 0.56443149, "qsc_code_frac_chars_dupe_9grams": 0.53488824, "qsc_code_frac_chars_dupe_10grams": 0.5090379, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.03621411, "qsc_code_frac_chars_whitespace": 0.3381398, "qsc_code_size_file_byte": 10472.0, "qsc_code_num_lines": 388.0, "qsc_code_num_chars_line_max": 121.0, "qsc_code_num_chars_line_mean": 26.98969072, "qsc_code_frac_chars_alphabet": 0.70610302, "qsc_code_frac_chars_comments": 0.04660046, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.45054945, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.003663, "qsc_code_frac_chars_string_length": 0.00771234, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.00400641, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.06227106} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 1, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1y33/100Days | nvidiadocs/addition.cu | #include <iostream>
#include <cuda_runtime.h>
__global__ void addition(float* A , float* B, float*C){
int idx = threadIdx.x;
C[idx] = A[idx] + B[idx];
}
int main(){
int N = 10;
addition<<<1,N>>>(A,B,C); // simple addition kernle that will launch N threads
}
//////////////////////////////////////
// (x, y) is (x + y Dx);
// (x, y, z) is (x + y Dx + z Dx Dy)
// int i
__global__ void MatAdd(float A[N][N], float B[N][N],
float C[N][N])
{
int i = threadIdx.x;
int j = threadIdx.y;
C[i][j] = A[i][j] + B[i][j];
}
int main()
{
// Kernel invocation with one block of N * N * 1 threads
int numBlocks = 1; // number of blocks
dim3 threadsPerBlock(N, N); // Threads
MatAdd<<<numBlocks, threadsPerBlock>>>(A, B, C);
}
/////////////////
// Kernel definition
__global__ void MatAdd(float A[N][N], float B[N][N],
float C[N][N])
{
int i = blockIdx.x * blockDim.x + threadIdx.x;
int j = blockIdx.y * blockDim.y + threadIdx.y;
if (i < N && j < N)
C[i][j] = A[i][j] + B[i][j];
}
int main()
{
...
// Kernel invocation
dim3 threadsPerBlock(16, 16); // threadsPerBlock -> how many threads per blocl
dim3 numBlocks(N / threadsPerBlock.x, N / threadsPerBlock.y); // Nu
MatAdd<<<numBlocks, threadsPerBlock>>>(A, B, C);
...
}
//// | 1,329 | addition | cu | en | cuda | code | {"qsc_code_num_words": 199, "qsc_code_num_chars": 1329.0, "qsc_code_mean_word_length": 3.53768844, "qsc_code_frac_words_unique": 0.27638191, "qsc_code_frac_chars_top_2grams": 0.02272727, "qsc_code_frac_chars_top_3grams": 0.03977273, "qsc_code_frac_chars_top_4grams": 0.01704545, "qsc_code_frac_chars_dupe_5grams": 0.30965909, "qsc_code_frac_chars_dupe_6grams": 0.30965909, "qsc_code_frac_chars_dupe_7grams": 0.21590909, "qsc_code_frac_chars_dupe_8grams": 0.21590909, "qsc_code_frac_chars_dupe_9grams": 0.21590909, "qsc_code_frac_chars_dupe_10grams": 0.21590909, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01186944, "qsc_code_frac_chars_whitespace": 0.23927765, "qsc_code_size_file_byte": 1329.0, "qsc_code_num_lines": 55.0, "qsc_code_num_chars_line_max": 83.0, "qsc_code_num_chars_line_mean": 24.16363636, "qsc_code_frac_chars_alphabet": 0.68447082, "qsc_code_frac_chars_comments": 0.28066215, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.29411765, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.0, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1y33/100Days | day03/addMatrix.py | import triton
import torch
import triton.language as tl
@triton.jit
def addMatrix(Matrix_A,Matrix_B,Matrix_C,sizeX,sizeY,BLOCK_SIZE:tl.constexpr):
pid_x = tl.program_id(0) # we have the rows
pid_y = tl.program_id(1) # we have the collumns
row_start = pid_x*BLOCK_SIZE
col_start = pid_y*BLOCK_SIZE
row_indices = row_start + tl.arange(0,BLOCK_SIZE)
col_indices = col_start + tl.arange(0,BLOCK_SIZE)
row_indices = row_indices[:,None]
col_indices = col_indices[None,:]
row_mask = row_indices < sizeY
col_mask = col_indices < sizeX
valid_mask = row_mask & col_mask
flat_indicies = row_indices * sizeX + col_indices
A = tl.load(Matrix_A + flat_indicies,mask =valid_mask,other=0.0)
B = tl.load(Matrix_B + flat_indicies,mask = valid_mask,other = 0.0)
C = A+B;
tl.store(Matrix_C+flat_indicies,C,mask=valid_mask)
def test_addMatrix():
sizeX = 8
sizeY = 8
BLOCK_SIZE = 2
Matrix_A = torch.randn(sizeY, sizeX, device='cuda', dtype=torch.float32)
Matrix_B = torch.randn(sizeY, sizeX, device='cuda', dtype=torch.float32)
Matrix_C = torch.zeros_like(Matrix_A, device='cuda', dtype=torch.float32)
Matrix_A_flat = Matrix_A.flatten()
Matrix_B_flat = Matrix_B.flatten()
Matrix_C_flat = Matrix_C.flatten()
grid = (triton.cdiv(sizeX, BLOCK_SIZE), triton.cdiv(sizeY, BLOCK_SIZE))
addMatrix[grid](Matrix_A_flat, Matrix_B_flat, Matrix_C_flat, sizeX, sizeY, BLOCK_SIZE)
Matrix_C = Matrix_C_flat.reshape(sizeY, sizeX)
expected = Matrix_A + Matrix_B
print("Matrix A:\n", Matrix_A)
print("Matrix B:\n", Matrix_B)
print("Matrix C (Triton):\n", Matrix_C)
print("Expected (PyTorch):\n", expected)
assert torch.allclose(Matrix_C, expected), "Triton result does not match PyTorch result!"
test_addMatrix()
| 1,875 | addMatrix | py | en | python | code | {"qsc_code_num_words": 287, "qsc_code_num_chars": 1875.0, "qsc_code_mean_word_length": 4.2195122, "qsc_code_frac_words_unique": 0.23344948, "qsc_code_frac_chars_top_2grams": 0.06358382, "qsc_code_frac_chars_top_3grams": 0.03633361, "qsc_code_frac_chars_top_4grams": 0.04954583, "qsc_code_frac_chars_dupe_5grams": 0.23451693, "qsc_code_frac_chars_dupe_6grams": 0.20561519, "qsc_code_frac_chars_dupe_7grams": 0.14037985, "qsc_code_frac_chars_dupe_8grams": 0.14037985, "qsc_code_frac_chars_dupe_9grams": 0.08753097, "qsc_code_frac_chars_dupe_10grams": 0.08753097, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01133333, "qsc_code_frac_chars_whitespace": 0.2, "qsc_code_size_file_byte": 1875.0, "qsc_code_num_lines": 64.0, "qsc_code_num_chars_line_max": 94.0, "qsc_code_num_chars_line_mean": 29.296875, "qsc_code_frac_chars_alphabet": 0.796, "qsc_code_frac_chars_comments": 0.01973333, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.06481481, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.02439024, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.04878049, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.07317073, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.12195122, "qsc_codepython_frac_lines_print": 0.09756098} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1ytic/warp-rnnt | tensorflow_binding/README.md | # TensorFlow binding for warp-rnnt
This package provides TensorFlow kernels that wrap the warp-rnnt library.
## Installation
Compile CUDA files:
```bash
git clone https://github.com/1ytic/warp-rnnt
cd warp-rnnt/tensorflow_binding
mkdir build && cd build && cmake .. && make
```
Install the package into current Python environment:
```bash
python setup.py install
```
Run the tests:
```bash
python -m warp_rnnt_tf.test
```
## Using the kernels
The warp-rnnt op is available via the `warp_rnnt_tf.rnnt_loss` function:
```python
from warp_rnnt_tf import rnnt_loss
costs = rnnt_loss(log_probs, labels, frames_lengths, label_lengths)
```
See the main warp-rnnt documentation for more information.
## Python interface
```python
def rnnt_loss(
log_probs, labels, frames_lengths, labels_lengths,
average_frames: bool = False,
reduction: Optional[AnyStr] = None,
blank: int = 0,
gather: bool = False):
"""The CUDA-Warp Transducer loss.
Args:
log_probs (FloatTensor): Input tensor with shape (N, T, U, V)
where N is the minibatch size, T is the maximum number of
input frames, U is the maximum number of output labels and V is
the vocabulary of labels (including the blank).
labels (IntTensor): Tensor with shape (N, U-1) representing the
reference labels for all samples in the minibatch.
frames_lengths (IntTensor): Tensor with shape (N,) representing the
number of frames for each sample in the minibatch.
labels_lengths (IntTensor): Tensor with shape (N,) representing the
length of the transcription for each sample in the minibatch.
average_frames (bool, optional): Specifies whether the loss of each
sample should be divided by its number of frames.
Default: False.
reduction (string, optional): Specifies the type of reduction.
Default: None.
blank (int, optional): label used to represent the blank symbol.
Default: 0.
gather (bool, optional): Reduce memory consumption.
Default: False.
"""
```
| 2,157 | README | md | en | markdown | text | {"qsc_doc_frac_chars_curly_bracket": 0.0, "qsc_doc_frac_words_redpajama_stop": 0.1748072, "qsc_doc_num_sentences": 20.0, "qsc_doc_num_words": 288, "qsc_doc_num_chars": 2157.0, "qsc_doc_num_lines": 69.0, "qsc_doc_mean_word_length": 4.98958333, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with_readmore": 0.0, "qsc_doc_frac_lines_start_with_bullet": 0.0, "qsc_doc_frac_words_unique": 0.43055556, "qsc_doc_entropy_unigram": 4.42253158, "qsc_doc_frac_words_all_caps": 0.03598972, "qsc_doc_frac_lines_dupe_lines": 0.21818182, "qsc_doc_frac_chars_dupe_lines": 0.04565217, "qsc_doc_frac_chars_top_2grams": 0.05010438, "qsc_doc_frac_chars_top_3grams": 0.04175365, "qsc_doc_frac_chars_top_4grams": 0.04453723, "qsc_doc_frac_chars_dupe_5grams": 0.19693807, "qsc_doc_frac_chars_dupe_6grams": 0.15170494, "qsc_doc_frac_chars_dupe_7grams": 0.11412665, "qsc_doc_frac_chars_dupe_8grams": 0.06541406, "qsc_doc_frac_chars_dupe_9grams": 0.0, "qsc_doc_frac_chars_dupe_10grams": 0.0, "qsc_doc_frac_chars_replacement_symbols": 0.0, "qsc_doc_cate_code_related_file_name": 1.0, "qsc_doc_num_chars_sentence_length_mean": 22.71428571, "qsc_doc_frac_chars_hyperlink_html_tag": 0.0, "qsc_doc_frac_chars_alphabet": 0.88076214, "qsc_doc_frac_chars_digital": 0.00245851, "qsc_doc_frac_chars_whitespace": 0.24571164, "qsc_doc_frac_chars_hex_words": 0.0} | 1 | {"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_8grams": 0, "qsc_doc_frac_chars_dupe_9grams": 0, "qsc_doc_frac_chars_dupe_10grams": 0, "qsc_doc_frac_chars_dupe_lines": 0, "qsc_doc_frac_lines_dupe_lines": 0, "qsc_doc_frac_lines_end_with_readmore": 0, "qsc_doc_frac_lines_start_with_bullet": 0, "qsc_doc_frac_words_all_caps": 0, "qsc_doc_mean_word_length": 0, "qsc_doc_num_chars": 0, "qsc_doc_num_lines": 0, "qsc_doc_num_sentences": 0, "qsc_doc_num_words": 0, "qsc_doc_frac_chars_hex_words": 0, "qsc_doc_frac_chars_hyperlink_html_tag": 0, "qsc_doc_frac_chars_alphabet": 0, "qsc_doc_frac_chars_digital": 0, "qsc_doc_frac_chars_whitespace": 0} |
1ytic/warp-rnnt | tensorflow_binding/core.cu | #include "core.h"
#include <stdio.h>
#include <assert.h>
#include <algorithm>
#include <cuda_runtime_api.h>
#include <device_atomic_functions.h>
#include <device_launch_parameters.h>
#define W 32
#define G 1024
#define B 256
__forceinline__ __device__ static int idx2(int n, int u, int U1) {
return n * U1 + u;
}
__forceinline__ __device__ static int idx3(int n, int t, int u, int T, int U) {
return n * (T * U) + t * U + u;
}
__forceinline__ __device__ static int idx4(int n, int t, int u, int v, int T, int U, int V) {
return n * (T * U * V) + t * (U * V) + u * V + v;
}
__forceinline__ __device__ static float log_sum_exp(float a, float b) {
float maximum, diff;
if (a > b) {
maximum = a;
diff = b-a;
} else {
maximum = b;
diff = a-b;
}
//if (diff > -42) {
maximum += log1pf(expf(diff));
//}
return maximum;
}
__device__
void kernel_warp_alphas(unsigned int *counts, volatile float *alphas,
const int *labels, const float *log_probs,
const int *xn, const int *yn, int T, int U, int V, int blank) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y + 1;
unsigned int n = blockIdx.z;
unsigned int p = g * W;
unsigned int t = p + d + 1;
assert (d < W);
assert (u <= U);
assert (gridDim.y == U);
assert (blockDim.x == W);
int actual_t = xn[n];
int actual_u = yn[n] + 1;
if (t > actual_t || u > actual_u)
return;
unsigned int *lock = counts + n * U * 2 + blockIdx.y;
if (blockIdx.x == 0 && blockIdx.y == 0) {
alphas[idx3(n, 0, 0, T, U)] = 0;
}
if (blockIdx.x > 0) {
// Wait previous row
do {} while (atomicAdd(lock, 0) < g);
}
if (blockIdx.y > 0) {
// Wait previous column
do {} while (atomicAdd(lock-1, 0) <= g);
}
if (blockIdx.x == 0 && u < actual_u) {
// Compute initial row value
unsigned int l = labels[idx2(n, u-1, U-1)];
float a = alphas[idx3(n, 0, u-1, T, U)];
float b = log_probs[idx4(n, 0, u-1, l, T, U, V)];
alphas[idx3(n, 0, u, T, U)] = a + b;
}
if (blockIdx.y == 0 && t < actual_t) {
// Compute initial column with local scan algorithm
float a;
float b = log_probs[idx4(n, t-1, 0, blank, T, U, V)];
#pragma unroll
for(unsigned int i = 1; i < W; i *= 2) {
a = __shfl_up_sync(0xffffffff, b, i);
if (i <= d) {
b += a;
}
}
a = alphas[idx3(n, p, 0, T, U)];
alphas[idx3(n, t, 0, T, U)] = a + b;
}
if (t < actual_t && u < actual_u) {
// Ready to compute alphas[t, u]
unsigned int l = labels[idx2(n, u-1, U-1)];
float bias = log_probs[idx4(n, t-1, u, blank, T, U, V)];
float skip = alphas[idx3(n, p, u, T, U)] + bias;
float emit = alphas[idx3(n, t, u-1, T, U)] + log_probs[idx4(n, t, u-1, l, T, U, V)];
float r = log_sum_exp(skip, emit);
float output = r;
for(unsigned int i = 1; i < W; i++) {
r = __shfl_up_sync(0xffffffff, r, 1);
if (i == d) {
r = log_sum_exp(r + bias, emit);
output = r;
}
}
alphas[idx3(n, t, u, T, U)] = output;
}
if (d == 0) {
// https://stackoverflow.com/a/5233737
__threadfence();
atomicAdd(lock, 1);
}
}
__device__
void kernel_warp_betas(unsigned int *counts, volatile float *betas,
const int *labels, const float *log_probs,
const int *xn, const int *yn, int T, int U, int V, int blank) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y + 1;
unsigned int n = blockIdx.z;
unsigned int p = g * W;
unsigned int t = p + d + 1;
assert (d < W);
assert (u <= U);
assert (gridDim.y == U);
assert (blockDim.x == W);
int actual_t = xn[n];
int actual_u = yn[n] + 1;
if (t > actual_t || u > actual_u)
return;
int T1 = actual_t - 1;
int U1 = actual_u - 1;
unsigned int *lock = counts + n * U * 2 + U + blockIdx.y;
if (blockIdx.x == 0 && blockIdx.y == 0) {
betas[idx3(n, T1, U1, T, U)] = log_probs[idx4(n, T1, U1, blank, T, U, V)];
}
if (blockIdx.x > 0) {
// Wait previous row
do {} while (atomicAdd(lock, 0) < g);
}
if (blockIdx.y > 0) {
// Wait previous column
do {} while (atomicAdd(lock-1, 0) <= g);
}
if (blockIdx.x == 0 && u < actual_u) {
// Compute last row value
unsigned int l = labels[idx2(n, U1-u, U-1)];
float a = betas[idx3(n, T1, U1-u+1, T, U)];
float b = log_probs[idx4(n, T1, U1-u, l, T, U, V)];
betas[idx3(n, T1, U1-u, T, U)] = a + b;
}
if (blockIdx.y == 0 && t < actual_t) {
// Compute last column with local scan algorithm
float a;
float b = log_probs[idx4(n, T1-t, U1, blank, T, U, V)];
#pragma unroll
for(unsigned int i = 1; i < W; i *= 2) {
a = __shfl_up_sync(0xffffffff, b, i);
if (i <= d) {
b += a;
}
}
a = betas[idx3(n, T1-p, U1, T, U)];
betas[idx3(n, T1-t, U1, T, U)] = a + b;
}
if (t < actual_t && u < actual_u) {
// Ready to compute betas[T1-t, U1-u]
unsigned int l = labels[idx2(n, U1-u, U-1)];
float bias = log_probs[idx4(n, T1-t, U1-u, blank, T, U, V)];
float skip = betas[idx3(n, T1-p, U1-u, T, U)] + bias;
float emit = betas[idx3(n, T1-t, U1-u+1, T, U)] + log_probs[idx4(n, T1-t, U1-u, l, T, U, V)];
float r = log_sum_exp(skip, emit);
float output = r;
for(unsigned int i = 1; i < W; i++) {
r = __shfl_up_sync(0xffffffff, r, 1);
if (i == d) {
r = log_sum_exp(r + bias, emit);
output = r;
}
}
betas[idx3(n, T1-t, U1-u, T, U)] = output;
}
if (d == 0) {
// https://stackoverflow.com/a/5233737
__threadfence();
atomicAdd(lock, 1);
}
}
__global__
void kernel_warp(unsigned int *counts, volatile float *alphas, volatile float *betas,
const int *labels, const float *log_probs,
const int *xn, const int *yn, int T, int U, int V, int blank) {
if (threadIdx.y == 0) {
kernel_warp_alphas(counts, alphas, labels, log_probs, xn, yn, T, U, V, blank);
}
else if (threadIdx.y == 1) {
kernel_warp_betas(counts, betas, labels, log_probs, xn, yn, T, U, V, blank);
}
}
__global__
void kernel_grads_blank(float *grads, const float *alphas, const float *betas, const float *log_probs,
const int *xn, const int *yn, int T, int U, int V, int blank) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y;
unsigned int n = blockIdx.z;
unsigned int t = g * G + d;
assert (u < U);
assert (d < G);
assert (blockDim.x == G);
assert (gridDim.y == U);
int actual_t = xn[n];
int actual_u = yn[n] + 1;
if (t >= actual_t || u >= actual_u)
return;
if (t == actual_t-1 && u < actual_u-1)
return;
float a = alphas[idx3(n, t, u, T, U)];
if (t < actual_t-1) {
a += betas[idx3(n, t+1, u, T, U)];
}
unsigned int index = idx4(n, t, u, blank, T, U, V);
a = expf(a + log_probs[index] - betas[idx3(n, 0, 0, T, U)]);
grads[index] = -a;
}
__global__
void kernel_grads_label(float *grads, const float *alphas, const float *betas,
const int *labels, const float *log_probs,
const int *xn, const int *yn, int T, int U, int V, float fastemit_lambda) {
unsigned int d = threadIdx.x;
unsigned int g = blockIdx.x;
unsigned int u = blockIdx.y;
unsigned int n = blockIdx.z;
unsigned int t = g * G + d;
assert (u < U - 1);
assert (d < G);
assert (blockDim.x == G);
assert (gridDim.y == U - 1);
int actual_t = xn[n];
int actual_u = yn[n];
if (t >= actual_t || u >= actual_u)
return;
unsigned int l = labels[idx2(n, u, U-1)];
float a = alphas[idx3(n, t, u, T, U)] + betas[idx3(n, t, u+1, T, U)];
unsigned int index = idx4(n, t, u, l, T, U, V);
a = expf(a + log_probs[index] - betas[idx3(n, 0, 0, T, U)]);
// apply FastEmit regularization
// https://arxiv.org/abs/2010.11148
a = (1. + fastemit_lambda) * a;
grads[index] = -a;
}
__global__
void kernel_fill_costs(float *costs, float *grads, const float *alphas, const float *betas, const float *log_probs,
const int *xn, const int *yn, int N, int T, int U, int V, int blank) {
unsigned int n = blockIdx.x * blockDim.x + threadIdx.x;
if (n >= N)
return;
int t = xn[n] - 1;
int u = yn[n];
float a = alphas[idx3(n, t, u, T, U)] + log_probs[idx4(n, t, u, blank, T, U, V)];
float b = betas[idx3(n, 0, 0, T, U)];
float ratio = fabsf(a - b) / fabsf(fmaxf(a, b));
if (ratio > 0.001) {
printf("\nWARNING: sample %d [%d, %d] has a forward/backward mismatch %f / %f\n",
n, t + 1, u, a, b);
float *g = grads + idx4(n, 0, 0, 0, T, U, V);
for (int i = 0; i < T; ++i) {
for (int j = 0; j < U; ++j) {
for (int v = 0; v < V; ++v, ++g) {
*g = 0;
}
}
}
b = (a + b) / 2.0f;
}
costs[n] = -b;
}
rnntStatus_t run_warp_rnnt(cudaStream_t stream, unsigned int *counts, float *alphas, float *betas,
const int *labels, const float *log_probs, float *grads, float *costs,
const int *xn, const int *yn, int N, int T, int U, int V, int blank, float fastemit_lambda) {
dim3 threads1(W, 2);
dim3 blocks1((T + W - 1) / W, U, N);
kernel_warp <<<blocks1, threads1, 0, stream>>> (counts, alphas, betas, labels, log_probs, xn, yn, T, U, V, blank);
if (cudaGetLastError() != cudaSuccess)
return RNNT_STATUS_WARP_FAILED;
dim3 blocks2((T + G - 1) / G, U, N);
kernel_grads_blank <<<blocks2, G, 0, stream>>> (grads, alphas, betas, log_probs, xn, yn, T, U, V, blank);
if (cudaGetLastError() != cudaSuccess)
return RNNT_STATUS_GRADS_BLANK_FAILED;
if (U > 1) {
dim3 blocks3((T + G - 1) / G, U - 1, N);
kernel_grads_label <<<blocks3, G, 0, stream>>> (grads, alphas, betas, labels, log_probs, xn, yn, T, U, V, fastemit_lambda);
if (cudaGetLastError() != cudaSuccess)
return RNNT_STATUS_GRADS_LABEL_FAILED;
}
dim3 blocks4((N + B - 1) / B, 1, 1);
kernel_fill_costs <<<blocks4, B, 0, stream>>> (costs, grads, alphas, betas, log_probs, xn, yn, N, T, U, V, blank);
if (cudaGetLastError() != cudaSuccess)
return RNNT_STATUS_COSTS_FAILED;
return RNNT_STATUS_SUCCESS;
}
| 11,104 | core | cu | en | cuda | code | {"qsc_code_num_words": 1704, "qsc_code_num_chars": 11104.0, "qsc_code_mean_word_length": 3.26115023, "qsc_code_frac_words_unique": 0.09037559, "qsc_code_frac_chars_top_2grams": 0.02303401, "qsc_code_frac_chars_top_3grams": 0.01133705, "qsc_code_frac_chars_top_4grams": 0.01583588, "qsc_code_frac_chars_dupe_5grams": 0.74032751, "qsc_code_frac_chars_dupe_6grams": 0.71189491, "qsc_code_frac_chars_dupe_7grams": 0.65880871, "qsc_code_frac_chars_dupe_8grams": 0.60320317, "qsc_code_frac_chars_dupe_9grams": 0.58052906, "qsc_code_frac_chars_dupe_10grams": 0.52780277, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.03250067, "qsc_code_frac_chars_whitespace": 0.32943084, "qsc_code_size_file_byte": 11104.0, "qsc_code_num_lines": 401.0, "qsc_code_num_chars_line_max": 132.0, "qsc_code_num_chars_line_mean": 27.69077307, "qsc_code_frac_chars_alphabet": 0.71380607, "qsc_code_frac_chars_comments": 0.04394813, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.45, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.00357143, "qsc_code_frac_chars_string_length": 0.0072532, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0037679, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.06071429} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 1, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
1ytic/warp-rnnt | tensorflow_binding/setup.py | import os
import setuptools
import tensorflow as tf
from setuptools.command.build_ext import build_ext
CUDA_HOME = os.environ.get("CUDA_HOME", "/usr/local/cuda")
include_dirs = [tf.sysconfig.get_include(), os.path.join(CUDA_HOME, "include")]
core_dir = os.path.realpath("./build")
extra_link_args = ["-L" + tf.sysconfig.get_lib()]
extra_compile_args = ["-std=c++14", "-fPIC", "-Wno-return-type"]
ext = setuptools.Extension("warp_rnnt_tf.kernels",
sources=["binding.cpp"],
language="c++",
include_dirs=include_dirs,
library_dirs=[core_dir],
runtime_library_dirs=[core_dir],
libraries=["warp_rnnt_core", "tensorflow_framework"],
extra_compile_args=extra_compile_args,
extra_link_args=extra_link_args)
setuptools.setup(
name="warp_rnnt_tf",
version="0.2",
description="TensorFlow wrapper for warp-rnnt",
license="MIT",
author = "Lucky Wong",
packages=["warp_rnnt_tf"],
ext_modules=[ext],
cmdclass={"build_ext": build_ext},
)
| 1,178 | setup | py | en | python | code | {"qsc_code_num_words": 137, "qsc_code_num_chars": 1178.0, "qsc_code_mean_word_length": 4.8540146, "qsc_code_frac_words_unique": 0.47445255, "qsc_code_frac_chars_top_2grams": 0.06015038, "qsc_code_frac_chars_top_3grams": 0.05864662, "qsc_code_frac_chars_top_4grams": 0.05413534, "qsc_code_frac_chars_dupe_5grams": 0.0, "qsc_code_frac_chars_dupe_6grams": 0.0, "qsc_code_frac_chars_dupe_7grams": 0.0, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00465658, "qsc_code_frac_chars_whitespace": 0.27079796, "qsc_code_size_file_byte": 1178.0, "qsc_code_num_lines": 36.0, "qsc_code_num_chars_line_max": 81.0, "qsc_code_num_chars_line_mean": 32.72222222, "qsc_code_frac_chars_alphabet": 0.76949942, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.0, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.18675722, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codepython_cate_ast": 1.0, "qsc_codepython_frac_lines_func_ratio": 0.0, "qsc_codepython_cate_var_zero": false, "qsc_codepython_frac_lines_pass": 0.0, "qsc_codepython_frac_lines_import": 0.14285714, "qsc_codepython_frac_lines_simplefunc": 0.0, "qsc_codepython_score_lines_no_logic": 0.14285714, "qsc_codepython_frac_lines_print": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codepython_cate_ast": 0, "qsc_codepython_frac_lines_func_ratio": 0, "qsc_codepython_cate_var_zero": 0, "qsc_codepython_frac_lines_pass": 0, "qsc_codepython_frac_lines_import": 0, "qsc_codepython_frac_lines_simplefunc": 0, "qsc_codepython_score_lines_no_logic": 0, "qsc_codepython_frac_lines_print": 0} |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/datapicker/bootstrap-datetimepicker.min.js | (function(factory){if(typeof define==="function"&&define.amd){define(["jquery"],factory)}else{if(typeof exports==="object"){factory(require("jquery"))}else{factory(jQuery)}}}(function($,undefined){if(!("indexOf" in Array.prototype)){Array.prototype.indexOf=function(find,i){if(i===undefined){i=0}if(i<0){i+=this.length}if(i<0){i=0}for(var n=this.length;i<n;i++){if(i in this&&this[i]===find){return i}}return -1}}function timeZoneAbbreviation(){var abbreviation,date,formattedStr,i,len,matchedStrings,ref,str;date=(new Date()).toString();formattedStr=((ref=date.split("(")[1])!=null?ref.slice(0,-1):0)||date.split(" ");if(formattedStr instanceof Array){matchedStrings=[];for(var i=0,len=formattedStr.length;i<len;i++){str=formattedStr[i];if((abbreviation=(ref=str.match(/\b[A-Z]+\b/))!==null)?ref[0]:0){matchedStrings.push(abbreviation)}}formattedStr=matchedStrings.pop()}return formattedStr}function UTCDate(){return new Date(Date.UTC.apply(Date,arguments))}var Datetimepicker=function(element,options){var that=this;this.element=$(element);this.container=options.container||"body";this.language=options.language||this.element.data("date-language")||"zh-cn";this.language=this.language in dates?this.language:this.language.split("-")[0];this.language=this.language in dates?this.language:"en";this.isRTL=dates[this.language].rtl||false;this.formatType=options.formatType||this.element.data("format-type")||"standard";this.format=DPGlobal.parseFormat(options.format||this.element.data("date-format")||dates[this.language].format||DPGlobal.getDefaultFormat(this.formatType,"input"),this.formatType);this.isInline=false;this.isVisible=false;this.isInput=this.element.is("input");this.fontAwesome=options.fontAwesome||this.element.data("font-awesome")||false;this.bootcssVer=options.bootcssVer||(this.isInput?(this.element.is(".form-control")?3:2):(this.bootcssVer=this.element.is(".input-group")?3:2));this.component=this.element.is(".date")?(this.bootcssVer===3?this.element.find(".input-group-addon .glyphicon-th, .input-group-addon .glyphicon-time, .input-group-addon .glyphicon-remove, .input-group-addon .glyphicon-calendar, .input-group-addon .fa-calendar, .input-group-addon .fa-clock-o").parent():this.element.find(".add-on .icon-th, .add-on .icon-time, .add-on .icon-calendar, .add-on .fa-calendar, .add-on .fa-clock-o").parent()):false;this.componentReset=this.element.is(".date")?(this.bootcssVer===3?this.element.find(".input-group-addon .glyphicon-remove, .input-group-addon .fa-times").parent():this.element.find(".add-on .icon-remove, .add-on .fa-times").parent()):false;this.hasInput=this.component&&this.element.find("input").length;if(this.component&&this.component.length===0){this.component=false}this.linkField=options.linkField||this.element.data("link-field")||false;this.linkFormat=DPGlobal.parseFormat(options.linkFormat||this.element.data("link-format")||DPGlobal.getDefaultFormat(this.formatType,"link"),this.formatType);this.minuteStep=options.minuteStep||this.element.data("minute-step")||5;this.pickerPosition=options.pickerPosition||this.element.data("picker-position")||"bottom-right";this.showMeridian=options.showMeridian||this.element.data("show-meridian")||false;this.initialDate=options.initialDate||new Date();this.zIndex=options.zIndex||this.element.data("z-index")||undefined;this.title=typeof options.title==="undefined"?false:options.title;this.timezone=options.timezone||timeZoneAbbreviation();this.icons={leftArrow:this.fontAwesome?"fa-arrow-left":(this.bootcssVer===3?"glyphicon-arrow-left":"icon-arrow-left"),rightArrow:this.fontAwesome?"fa-arrow-right":(this.bootcssVer===3?"glyphicon-arrow-right":"icon-arrow-right")};this.icontype=this.fontAwesome?"fa":"glyphicon";this._attachEvents();this.clickedOutside=function(e){if($(e.target).closest(".datetimepicker").length===0){that.hide()}};this.formatViewType="datetime";if("formatViewType" in options){this.formatViewType=options.formatViewType}else{if("formatViewType" in this.element.data()){this.formatViewType=this.element.data("formatViewType")}}this.minView=0;if("minView" in options){this.minView=options.minView}else{if("minView" in this.element.data()){this.minView=this.element.data("min-view")}}this.minView=DPGlobal.convertViewMode(this.minView);this.maxView=DPGlobal.modes.length-1;if("maxView" in options){this.maxView=options.maxView}else{if("maxView" in this.element.data()){this.maxView=this.element.data("max-view")}}this.maxView=DPGlobal.convertViewMode(this.maxView);this.wheelViewModeNavigation=false;if("wheelViewModeNavigation" in options){this.wheelViewModeNavigation=options.wheelViewModeNavigation}else{if("wheelViewModeNavigation" in this.element.data()){this.wheelViewModeNavigation=this.element.data("view-mode-wheel-navigation")}}this.wheelViewModeNavigationInverseDirection=false;if("wheelViewModeNavigationInverseDirection" in options){this.wheelViewModeNavigationInverseDirection=options.wheelViewModeNavigationInverseDirection}else{if("wheelViewModeNavigationInverseDirection" in this.element.data()){this.wheelViewModeNavigationInverseDirection=this.element.data("view-mode-wheel-navigation-inverse-dir")}}this.wheelViewModeNavigationDelay=100;if("wheelViewModeNavigationDelay" in options){this.wheelViewModeNavigationDelay=options.wheelViewModeNavigationDelay}else{if("wheelViewModeNavigationDelay" in this.element.data()){this.wheelViewModeNavigationDelay=this.element.data("view-mode-wheel-navigation-delay")}}this.startViewMode=2;if("startView" in options){this.startViewMode=options.startView}else{if("startView" in this.element.data()){this.startViewMode=this.element.data("start-view")}}this.startViewMode=DPGlobal.convertViewMode(this.startViewMode);this.viewMode=this.startViewMode;this.viewSelect=this.minView;if("viewSelect" in options){this.viewSelect=options.viewSelect}else{if("viewSelect" in this.element.data()){this.viewSelect=this.element.data("view-select")}}this.viewSelect=DPGlobal.convertViewMode(this.viewSelect);this.forceParse=true;if("forceParse" in options){this.forceParse=options.forceParse}else{if("dateForceParse" in this.element.data()){this.forceParse=this.element.data("date-force-parse")}}var template=this.bootcssVer===3?DPGlobal.templateV3:DPGlobal.template;while(template.indexOf("{iconType}")!==-1){template=template.replace("{iconType}",this.icontype)}while(template.indexOf("{leftArrow}")!==-1){template=template.replace("{leftArrow}",this.icons.leftArrow)}while(template.indexOf("{rightArrow}")!==-1){template=template.replace("{rightArrow}",this.icons.rightArrow)}this.picker=$(template).appendTo(this.isInline?this.element:this.container).on({click:$.proxy(this.click,this),mousedown:$.proxy(this.mousedown,this)});if(this.wheelViewModeNavigation){if($.fn.mousewheel){this.picker.on({mousewheel:$.proxy(this.mousewheel,this)})}else{console.log("Mouse Wheel event is not supported. Please include the jQuery Mouse Wheel plugin before enabling this option")}}if(this.isInline){this.picker.addClass("datetimepicker-inline")}else{this.picker.addClass("datetimepicker-dropdown-"+this.pickerPosition+" dropdown-menu")}if(this.isRTL){this.picker.addClass("datetimepicker-rtl");var selector=this.bootcssVer===3?".prev span, .next span":".prev i, .next i";this.picker.find(selector).toggleClass(this.icons.leftArrow+" "+this.icons.rightArrow)}$(document).on("mousedown touchend",this.clickedOutside);this.autoclose=false;if("autoclose" in options){this.autoclose=options.autoclose}else{if("dateAutoclose" in this.element.data()){this.autoclose=this.element.data("date-autoclose")}}this.keyboardNavigation=true;if("keyboardNavigation" in options){this.keyboardNavigation=options.keyboardNavigation}else{if("dateKeyboardNavigation" in this.element.data()){this.keyboardNavigation=this.element.data("date-keyboard-navigation")}}this.todayBtn=(options.todayBtn||this.element.data("date-today-btn")||false);this.clearBtn=(options.clearBtn||this.element.data("date-clear-btn")||false);this.todayHighlight=(options.todayHighlight||this.element.data("date-today-highlight")||false);this.weekStart=0;if(typeof options.weekStart!=="undefined"){this.weekStart=options.weekStart}else{if(typeof this.element.data("date-weekstart")!=="undefined"){this.weekStart=this.element.data("date-weekstart")}else{if(typeof dates[this.language].weekStart!=="undefined"){this.weekStart=dates[this.language].weekStart}}}this.weekStart=this.weekStart%7;this.weekEnd=((this.weekStart+6)%7);this.onRenderDay=function(date){var render=(options.onRenderDay||function(){return[]})(date);if(typeof render==="string"){render=[render]}var res=["day"];return res.concat((render?render:[]))};this.onRenderHour=function(date){var render=(options.onRenderHour||function(){return[]})(date);var res=["hour"];if(typeof render==="string"){render=[render]}return res.concat((render?render:[]))};this.onRenderMinute=function(date){var render=(options.onRenderMinute||function(){return[]})(date);var res=["minute"];if(typeof render==="string"){render=[render]}if(date<this.startDate||date>this.endDate){res.push("disabled")}else{if(Math.floor(this.date.getUTCMinutes()/this.minuteStep)===Math.floor(date.getUTCMinutes()/this.minuteStep)){res.push("active")}}return res.concat((render?render:[]))};this.onRenderYear=function(date){var render=(options.onRenderYear||function(){return[]})(date);var res=["year"];if(typeof render==="string"){render=[render]}if(this.date.getUTCFullYear()===date.getUTCFullYear()){res.push("active")}var currentYear=date.getUTCFullYear();var endYear=this.endDate.getUTCFullYear();if(date<this.startDate||currentYear>endYear){res.push("disabled")}return res.concat((render?render:[]))};this.onRenderMonth=function(date){var render=(options.onRenderMonth||function(){return[]})(date);var res=["month"];if(typeof render==="string"){render=[render]}return res.concat((render?render:[]))};this.startDate=new Date(-8639968443048000);this.endDate=new Date(8639968443048000);this.datesDisabled=[];this.daysOfWeekDisabled=[];this.setStartDate(options.startDate||this.element.data("date-startdate"));this.setEndDate(options.endDate||this.element.data("date-enddate"));this.setDatesDisabled(options.datesDisabled||this.element.data("date-dates-disabled"));this.setDaysOfWeekDisabled(options.daysOfWeekDisabled||this.element.data("date-days-of-week-disabled"));this.setMinutesDisabled(options.minutesDisabled||this.element.data("date-minute-disabled"));this.setHoursDisabled(options.hoursDisabled||this.element.data("date-hour-disabled"));this.fillDow();this.fillMonths();this.update();this.showMode();if(this.isInline){this.show()}};Datetimepicker.prototype={constructor:Datetimepicker,_events:[],_attachEvents:function(){this._detachEvents();if(this.isInput){this._events=[[this.element,{focus:$.proxy(this.show,this),keyup:$.proxy(this.update,this),keydown:$.proxy(this.keydown,this)}]]}else{if(this.component&&this.hasInput){this._events=[[this.element.find("input"),{focus:$.proxy(this.show,this),keyup:$.proxy(this.update,this),keydown:$.proxy(this.keydown,this)}],[this.component,{click:$.proxy(this.show,this)}]];if(this.componentReset){this._events.push([this.componentReset,{click:$.proxy(this.reset,this)}])}}else{if(this.element.is("div")){this.isInline=true}else{this._events=[[this.element,{click:$.proxy(this.show,this)}]]}}}for(var i=0,el,ev;i<this._events.length;i++){el=this._events[i][0];ev=this._events[i][1];el.on(ev)}},_detachEvents:function(){for(var i=0,el,ev;i<this._events.length;i++){el=this._events[i][0];ev=this._events[i][1];el.off(ev)}this._events=[]},show:function(e){this.picker.show();this.height=this.component?this.component.outerHeight():this.element.outerHeight();if(this.forceParse){this.update()}this.place();$(window).on("resize",$.proxy(this.place,this));if(e){e.stopPropagation();e.preventDefault()}this.isVisible=true;this.element.trigger({type:"show",date:this.date})},hide:function(){if(!this.isVisible){return}if(this.isInline){return}this.picker.hide();$(window).off("resize",this.place);this.viewMode=this.startViewMode;this.showMode();if(!this.isInput){$(document).off("mousedown",this.hide)}if(this.forceParse&&(this.isInput&&this.element.val()||this.hasInput&&this.element.find("input").val())){this.setValue()}this.isVisible=false;this.element.trigger({type:"hide",date:this.date})},remove:function(){this._detachEvents();$(document).off("mousedown",this.clickedOutside);this.picker.remove();delete this.picker;delete this.element.data().datetimepicker},getDate:function(){var d=this.getUTCDate();if(d===null){return null}return new Date(d.getTime()+(d.getTimezoneOffset()*60000))},getUTCDate:function(){return this.date},getInitialDate:function(){return this.initialDate},setInitialDate:function(initialDate){this.initialDate=initialDate},setDate:function(d){this.setUTCDate(new Date(d.getTime()-(d.getTimezoneOffset()*60000)))},setUTCDate:function(d){if(d>=this.startDate&&d<=this.endDate){this.date=d;this.setValue();this.viewDate=this.date;this.fill()}else{this.element.trigger({type:"outOfRange",date:d,startDate:this.startDate,endDate:this.endDate})}},setFormat:function(format){this.format=DPGlobal.parseFormat(format,this.formatType);var element;if(this.isInput){element=this.element}else{if(this.component){element=this.element.find("input")}}if(element&&element.val()){this.setValue()}},setValue:function(){var formatted=this.getFormattedDate();if(!this.isInput){if(this.component){this.element.find("input").val(formatted)}this.element.data("date",formatted)}else{this.element.val(formatted)}if(this.linkField){$("#"+this.linkField).val(this.getFormattedDate(this.linkFormat))}},getFormattedDate:function(format){format=format||this.format;return DPGlobal.formatDate(this.date,format,this.language,this.formatType,this.timezone)},setStartDate:function(startDate){this.startDate=startDate||this.startDate;if(this.startDate.valueOf()!==8639968443048000){this.startDate=DPGlobal.parseDate(this.startDate,this.format,this.language,this.formatType,this.timezone)}this.update();this.updateNavArrows()},setEndDate:function(endDate){this.endDate=endDate||this.endDate;if(this.endDate.valueOf()!==8639968443048000){this.endDate=DPGlobal.parseDate(this.endDate,this.format,this.language,this.formatType,this.timezone)}this.update();this.updateNavArrows()},setDatesDisabled:function(datesDisabled){this.datesDisabled=datesDisabled||[];if(!$.isArray(this.datesDisabled)){this.datesDisabled=this.datesDisabled.split(/,\s*/)}var mThis=this;this.datesDisabled=$.map(this.datesDisabled,function(d){return DPGlobal.parseDate(d,mThis.format,mThis.language,mThis.formatType,mThis.timezone).toDateString()});this.update();this.updateNavArrows()},setTitle:function(selector,value){return this.picker.find(selector).find("th:eq(1)").text(this.title===false?value:this.title)},setDaysOfWeekDisabled:function(daysOfWeekDisabled){this.daysOfWeekDisabled=daysOfWeekDisabled||[];if(!$.isArray(this.daysOfWeekDisabled)){this.daysOfWeekDisabled=this.daysOfWeekDisabled.split(/,\s*/)}this.daysOfWeekDisabled=$.map(this.daysOfWeekDisabled,function(d){return parseInt(d,10)});this.update();this.updateNavArrows()},setMinutesDisabled:function(minutesDisabled){this.minutesDisabled=minutesDisabled||[];if(!$.isArray(this.minutesDisabled)){this.minutesDisabled=this.minutesDisabled.split(/,\s*/)}this.minutesDisabled=$.map(this.minutesDisabled,function(d){return parseInt(d,10)});this.update();this.updateNavArrows()},setHoursDisabled:function(hoursDisabled){this.hoursDisabled=hoursDisabled||[];if(!$.isArray(this.hoursDisabled)){this.hoursDisabled=this.hoursDisabled.split(/,\s*/)}this.hoursDisabled=$.map(this.hoursDisabled,function(d){return parseInt(d,10)});this.update();this.updateNavArrows()},place:function(){if(this.isInline){return}if(!this.zIndex){var index_highest=0;$("div").each(function(){var index_current=parseInt($(this).css("zIndex"),10);if(index_current>index_highest){index_highest=index_current}});this.zIndex=index_highest+10}var offset,top,left,containerOffset;if(this.container instanceof $){containerOffset=this.container.offset()}else{containerOffset=$(this.container).offset()}if(this.component){offset=this.component.offset();left=offset.left;if(this.pickerPosition==="bottom-left"||this.pickerPosition==="top-left"){left+=this.component.outerWidth()-this.picker.outerWidth()}}else{offset=this.element.offset();left=offset.left;if(this.pickerPosition==="bottom-left"||this.pickerPosition==="top-left"){left+=this.element.outerWidth()-this.picker.outerWidth()}}var bodyWidth=document.body.clientWidth||window.innerWidth;if(left+220>bodyWidth){left=bodyWidth-220}if(this.pickerPosition==="top-left"||this.pickerPosition==="top-right"){top=offset.top-this.picker.outerHeight()}else{top=offset.top+this.height}top=top-containerOffset.top;left=left-containerOffset.left;this.picker.css({top:top,left:left,zIndex:this.zIndex})},hour_minute:"^([0-9]|0[0-9]|1[0-9]|2[0-3]):[0-5][0-9]",update:function(){var date,fromArgs=false;if(arguments&&arguments.length&&(typeof arguments[0]==="string"||arguments[0] instanceof Date)){date=arguments[0];fromArgs=true}else{date=(this.isInput?this.element.val():this.element.find("input").val())||this.element.data("date")||this.initialDate;if(typeof date==="string"){date=date.replace(/^\s+|\s+$/g,"")}}if(!date){date=new Date();fromArgs=false}if(typeof date==="string"){if(new RegExp(this.hour_minute).test(date)||new RegExp(this.hour_minute+":[0-5][0-9]").test(date)){date=this.getDate()}}this.date=DPGlobal.parseDate(date,this.format,this.language,this.formatType,this.timezone);if(fromArgs){this.setValue()}if(this.date<this.startDate){this.viewDate=new Date(this.startDate)}else{if(this.date>this.endDate){this.viewDate=new Date(this.endDate)}else{this.viewDate=new Date(this.date)}}this.fill()},fillDow:function(){var dowCnt=this.weekStart,html="<tr>";while(dowCnt<this.weekStart+7){html+='<th class="dow">'+dates[this.language].daysMin[(dowCnt++)%7]+"</th>"}html+="</tr>";this.picker.find(".datetimepicker-days thead").append(html)},fillMonths:function(){var html="";var d=new Date(this.viewDate);for(var i=0;i<12;i++){d.setUTCMonth(i);var classes=this.onRenderMonth(d);html+='<span class="'+classes.join(" ")+'">'+dates[this.language].monthsShort[i]+"</span>"}this.picker.find(".datetimepicker-months td").html(html)},fill:function(){if(!this.date||!this.viewDate){return}var d=new Date(this.viewDate),year=d.getUTCFullYear(),month=d.getUTCMonth(),dayMonth=d.getUTCDate(),hours=d.getUTCHours(),startYear=this.startDate.getUTCFullYear(),startMonth=this.startDate.getUTCMonth(),endYear=this.endDate.getUTCFullYear(),endMonth=this.endDate.getUTCMonth()+1,currentDate=(new UTCDate(this.date.getUTCFullYear(),this.date.getUTCMonth(),this.date.getUTCDate())).valueOf(),today=new Date();this.setTitle(".datetimepicker-days",dates[this.language].months[month]+" "+year);if(this.formatViewType==="time"){var formatted=this.getFormattedDate();this.setTitle(".datetimepicker-hours",formatted);this.setTitle(".datetimepicker-minutes",formatted)}else{this.setTitle(".datetimepicker-hours",dayMonth+" "+dates[this.language].months[month]+" "+year);this.setTitle(".datetimepicker-minutes",dayMonth+" "+dates[this.language].months[month]+" "+year)}this.picker.find("tfoot th.today").text(dates[this.language].today||dates["en"].today).toggle(this.todayBtn!==false);this.picker.find("tfoot th.clear").text(dates[this.language].clear||dates["en"].clear).toggle(this.clearBtn!==false);this.updateNavArrows();this.fillMonths();var prevMonth=UTCDate(year,month-1,28,0,0,0,0),day=DPGlobal.getDaysInMonth(prevMonth.getUTCFullYear(),prevMonth.getUTCMonth());prevMonth.setUTCDate(day);prevMonth.setUTCDate(day-(prevMonth.getUTCDay()-this.weekStart+7)%7);var nextMonth=new Date(prevMonth);nextMonth.setUTCDate(nextMonth.getUTCDate()+42);nextMonth=nextMonth.valueOf();var html=[];var classes;while(prevMonth.valueOf()<nextMonth){if(prevMonth.getUTCDay()===this.weekStart){html.push("<tr>")}classes=this.onRenderDay(prevMonth);if(prevMonth.getUTCFullYear()<year||(prevMonth.getUTCFullYear()===year&&prevMonth.getUTCMonth()<month)){classes.push("old")}else{if(prevMonth.getUTCFullYear()>year||(prevMonth.getUTCFullYear()===year&&prevMonth.getUTCMonth()>month)){classes.push("new")}}if(this.todayHighlight&&prevMonth.getUTCFullYear()===today.getFullYear()&&prevMonth.getUTCMonth()===today.getMonth()&&prevMonth.getUTCDate()===today.getDate()){classes.push("today")}if(prevMonth.valueOf()===currentDate){classes.push("active")}if((prevMonth.valueOf()+86400000)<=this.startDate||prevMonth.valueOf()>this.endDate||$.inArray(prevMonth.getUTCDay(),this.daysOfWeekDisabled)!==-1||$.inArray(prevMonth.toDateString(),this.datesDisabled)!==-1){classes.push("disabled")}html.push('<td class="'+classes.join(" ")+'">'+prevMonth.getUTCDate()+"</td>");if(prevMonth.getUTCDay()===this.weekEnd){html.push("</tr>")}prevMonth.setUTCDate(prevMonth.getUTCDate()+1)}this.picker.find(".datetimepicker-days tbody").empty().append(html.join(""));html=[];var txt="",meridian="",meridianOld="";var hoursDisabled=this.hoursDisabled||[];d=new Date(this.viewDate);for(var i=0;i<24;i++){d.setUTCHours(i);classes=this.onRenderHour(d);if(hoursDisabled.indexOf(i)!==-1){classes.push("disabled")}var actual=UTCDate(year,month,dayMonth,i);if((actual.valueOf()+3600000)<=this.startDate||actual.valueOf()>this.endDate){classes.push("disabled")}else{if(hours===i){classes.push("active")}}if(this.showMeridian&&dates[this.language].meridiem.length===2){meridian=(i<12?dates[this.language].meridiem[0]:dates[this.language].meridiem[1]);if(meridian!==meridianOld){if(meridianOld!==""){html.push("</fieldset>")}html.push('<fieldset class="hour"><legend>'+meridian.toUpperCase()+"</legend>")}meridianOld=meridian;txt=(i%12?i%12:12);if(i<12){classes.push("hour_am")}else{classes.push("hour_pm")}html.push('<span class="'+classes.join(" ")+'">'+txt+"</span>");if(i===23){html.push("</fieldset>")}}else{txt=i+":00";html.push('<span class="'+classes.join(" ")+'">'+txt+"</span>")}}this.picker.find(".datetimepicker-hours td").html(html.join(""));html=[];txt="";meridian="";meridianOld="";var minutesDisabled=this.minutesDisabled||[];d=new Date(this.viewDate);for(var i=0;i<60;i+=this.minuteStep){if(minutesDisabled.indexOf(i)!==-1){continue}d.setUTCMinutes(i);d.setUTCSeconds(0);classes=this.onRenderMinute(d);if(this.showMeridian&&dates[this.language].meridiem.length===2){meridian=(hours<12?dates[this.language].meridiem[0]:dates[this.language].meridiem[1]);if(meridian!==meridianOld){if(meridianOld!==""){html.push("</fieldset>")}html.push('<fieldset class="minute"><legend>'+meridian.toUpperCase()+"</legend>")}meridianOld=meridian;txt=(hours%12?hours%12:12);html.push('<span class="'+classes.join(" ")+'">'+txt+":"+(i<10?"0"+i:i)+"</span>");if(i===59){html.push("</fieldset>")}}else{txt=i+":00";html.push('<span class="'+classes.join(" ")+'">'+hours+":"+(i<10?"0"+i:i)+"</span>")}}this.picker.find(".datetimepicker-minutes td").html(html.join(""));var currentYear=this.date.getUTCFullYear();var months=this.setTitle(".datetimepicker-months",year).end().find(".month").removeClass("active");if(currentYear===year){months.eq(this.date.getUTCMonth()).addClass("active")}if(year<startYear||year>endYear){months.addClass("disabled")}if(year===startYear){months.slice(0,startMonth).addClass("disabled")}if(year===endYear){months.slice(endMonth).addClass("disabled")}html="";year=parseInt(year/10,10)*10;var yearCont=this.setTitle(".datetimepicker-years",year+"-"+(year+9)).end().find("td");year-=1;d=new Date(this.viewDate);for(var i=-1;i<11;i++){d.setUTCFullYear(year);classes=this.onRenderYear(d);if(i===-1||i===10){classes.push(old)}html+='<span class="'+classes.join(" ")+'">'+year+"</span>";year+=1}yearCont.html(html);this.place()},updateNavArrows:function(){var d=new Date(this.viewDate),year=d.getUTCFullYear(),month=d.getUTCMonth(),day=d.getUTCDate(),hour=d.getUTCHours();switch(this.viewMode){case 0:if(year<=this.startDate.getUTCFullYear()&&month<=this.startDate.getUTCMonth()&&day<=this.startDate.getUTCDate()&&hour<=this.startDate.getUTCHours()){this.picker.find(".prev").css({visibility:"hidden"})}else{this.picker.find(".prev").css({visibility:"visible"})}if(year>=this.endDate.getUTCFullYear()&&month>=this.endDate.getUTCMonth()&&day>=this.endDate.getUTCDate()&&hour>=this.endDate.getUTCHours()){this.picker.find(".next").css({visibility:"hidden"})}else{this.picker.find(".next").css({visibility:"visible"})}break;case 1:if(year<=this.startDate.getUTCFullYear()&&month<=this.startDate.getUTCMonth()&&day<=this.startDate.getUTCDate()){this.picker.find(".prev").css({visibility:"hidden"})}else{this.picker.find(".prev").css({visibility:"visible"})}if(year>=this.endDate.getUTCFullYear()&&month>=this.endDate.getUTCMonth()&&day>=this.endDate.getUTCDate()){this.picker.find(".next").css({visibility:"hidden"})}else{this.picker.find(".next").css({visibility:"visible"})}break;case 2:if(year<=this.startDate.getUTCFullYear()&&month<=this.startDate.getUTCMonth()){this.picker.find(".prev").css({visibility:"hidden"})}else{this.picker.find(".prev").css({visibility:"visible"})}if(year>=this.endDate.getUTCFullYear()&&month>=this.endDate.getUTCMonth()){this.picker.find(".next").css({visibility:"hidden"})}else{this.picker.find(".next").css({visibility:"visible"})}break;case 3:case 4:if(year<=this.startDate.getUTCFullYear()){this.picker.find(".prev").css({visibility:"hidden"})}else{this.picker.find(".prev").css({visibility:"visible"})}if(year>=this.endDate.getUTCFullYear()){this.picker.find(".next").css({visibility:"hidden"})}else{this.picker.find(".next").css({visibility:"visible"})}break}},mousewheel:function(e){e.preventDefault();e.stopPropagation();if(this.wheelPause){return}this.wheelPause=true;var originalEvent=e.originalEvent;var delta=originalEvent.wheelDelta;var mode=delta>0?1:(delta===0)?0:-1;if(this.wheelViewModeNavigationInverseDirection){mode=-mode}this.showMode(mode);setTimeout($.proxy(function(){this.wheelPause=false},this),this.wheelViewModeNavigationDelay)},click:function(e){e.stopPropagation();e.preventDefault();var target=$(e.target).closest("span, td, th, legend");if(target.is("."+this.icontype)){target=$(target).parent().closest("span, td, th, legend")}if(target.length===1){if(target.is(".disabled")){this.element.trigger({type:"outOfRange",date:this.viewDate,startDate:this.startDate,endDate:this.endDate});return}switch(target[0].nodeName.toLowerCase()){case"th":switch(target[0].className){case"switch":this.showMode(1);break;case"prev":case"next":var dir=DPGlobal.modes[this.viewMode].navStep*(target[0].className==="prev"?-1:1);switch(this.viewMode){case 0:this.viewDate=this.moveHour(this.viewDate,dir);break;case 1:this.viewDate=this.moveDate(this.viewDate,dir);break;case 2:this.viewDate=this.moveMonth(this.viewDate,dir);break;case 3:case 4:this.viewDate=this.moveYear(this.viewDate,dir);break}this.fill();this.element.trigger({type:target[0].className+":"+this.convertViewModeText(this.viewMode),date:this.viewDate,startDate:this.startDate,endDate:this.endDate});break;case"clear":this.reset();if(this.autoclose){this.hide()}break;case"today":var date=new Date();date=UTCDate(date.getFullYear(),date.getMonth(),date.getDate(),date.getHours(),date.getMinutes(),date.getSeconds(),0);if(date<this.startDate){date=this.startDate}else{if(date>this.endDate){date=this.endDate}}this.viewMode=this.startViewMode;this.showMode(0);this._setDate(date);this.fill();if(this.autoclose){this.hide()}break}break;case"span":if(!target.is(".disabled")){var year=this.viewDate.getUTCFullYear(),month=this.viewDate.getUTCMonth(),day=this.viewDate.getUTCDate(),hours=this.viewDate.getUTCHours(),minutes=this.viewDate.getUTCMinutes(),seconds=this.viewDate.getUTCSeconds();if(target.is(".month")){this.viewDate.setUTCDate(1);month=target.parent().find("span").index(target);day=this.viewDate.getUTCDate();this.viewDate.setUTCMonth(month);this.element.trigger({type:"changeMonth",date:this.viewDate});if(this.viewSelect>=3){this._setDate(UTCDate(year,month,day,hours,minutes,seconds,0))}}else{if(target.is(".year")){this.viewDate.setUTCDate(1);year=parseInt(target.text(),10)||0;this.viewDate.setUTCFullYear(year);this.element.trigger({type:"changeYear",date:this.viewDate});if(this.viewSelect>=4){this._setDate(UTCDate(year,month,day,hours,minutes,seconds,0))}}else{if(target.is(".hour")){hours=parseInt(target.text(),10)||0;if(target.hasClass("hour_am")||target.hasClass("hour_pm")){if(hours===12&&target.hasClass("hour_am")){hours=0}else{if(hours!==12&&target.hasClass("hour_pm")){hours+=12}}}this.viewDate.setUTCHours(hours);this.element.trigger({type:"changeHour",date:this.viewDate});if(this.viewSelect>=1){this._setDate(UTCDate(year,month,day,hours,minutes,seconds,0))}}else{if(target.is(".minute")){minutes=parseInt(target.text().substr(target.text().indexOf(":")+1),10)||0;this.viewDate.setUTCMinutes(minutes);this.element.trigger({type:"changeMinute",date:this.viewDate});if(this.viewSelect>=0){this._setDate(UTCDate(year,month,day,hours,minutes,seconds,0))}}}}}if(this.viewMode!==0){var oldViewMode=this.viewMode;this.showMode(-1);this.fill();if(oldViewMode===this.viewMode&&this.autoclose){this.hide()}}else{this.fill();if(this.autoclose){this.hide()}}}break;case"td":if(target.is(".day")&&!target.is(".disabled")){var day=parseInt(target.text(),10)||1;var year=this.viewDate.getUTCFullYear(),month=this.viewDate.getUTCMonth(),hours=this.viewDate.getUTCHours(),minutes=this.viewDate.getUTCMinutes(),seconds=this.viewDate.getUTCSeconds();if(target.is(".old")){if(month===0){month=11;year-=1}else{month-=1}}else{if(target.is(".new")){if(month===11){month=0;year+=1}else{month+=1}}}this.viewDate.setUTCFullYear(year);this.viewDate.setUTCMonth(month,day);this.element.trigger({type:"changeDay",date:this.viewDate});if(this.viewSelect>=2){this._setDate(UTCDate(year,month,day,hours,minutes,seconds,0))}}var oldViewMode=this.viewMode;this.showMode(-1);this.fill();if(oldViewMode===this.viewMode&&this.autoclose){this.hide()}break}}},_setDate:function(date,which){if(!which||which==="date"){this.date=date}if(!which||which==="view"){this.viewDate=date}this.fill();this.setValue();var element;if(this.isInput){element=this.element}else{if(this.component){element=this.element.find("input")}}if(element){element.change()}this.element.trigger({type:"changeDate",date:this.getDate()});if(date===null){this.date=this.viewDate}},moveMinute:function(date,dir){if(!dir){return date}var new_date=new Date(date.valueOf());new_date.setUTCMinutes(new_date.getUTCMinutes()+(dir*this.minuteStep));return new_date},moveHour:function(date,dir){if(!dir){return date}var new_date=new Date(date.valueOf());new_date.setUTCHours(new_date.getUTCHours()+dir);return new_date},moveDate:function(date,dir){if(!dir){return date}var new_date=new Date(date.valueOf());new_date.setUTCDate(new_date.getUTCDate()+dir);return new_date},moveMonth:function(date,dir){if(!dir){return date}var new_date=new Date(date.valueOf()),day=new_date.getUTCDate(),month=new_date.getUTCMonth(),mag=Math.abs(dir),new_month,test;dir=dir>0?1:-1;if(mag===1){test=dir===-1?function(){return new_date.getUTCMonth()===month}:function(){return new_date.getUTCMonth()!==new_month};new_month=month+dir;new_date.setUTCMonth(new_month);if(new_month<0||new_month>11){new_month=(new_month+12)%12}}else{for(var i=0;i<mag;i++){new_date=this.moveMonth(new_date,dir)}new_month=new_date.getUTCMonth();new_date.setUTCDate(day);test=function(){return new_month!==new_date.getUTCMonth()}}while(test()){new_date.setUTCDate(--day);new_date.setUTCMonth(new_month)}return new_date},moveYear:function(date,dir){return this.moveMonth(date,dir*12)},dateWithinRange:function(date){return date>=this.startDate&&date<=this.endDate},keydown:function(e){if(this.picker.is(":not(:visible)")){if(e.keyCode===27){this.show()}return}var dateChanged=false,dir,newDate,newViewDate;switch(e.keyCode){case 27:this.hide();e.preventDefault();break;case 37:case 39:if(!this.keyboardNavigation){break}dir=e.keyCode===37?-1:1;var viewMode=this.viewMode;if(e.ctrlKey){viewMode+=2}else{if(e.shiftKey){viewMode+=1}}if(viewMode===4){newDate=this.moveYear(this.date,dir);newViewDate=this.moveYear(this.viewDate,dir)}else{if(viewMode===3){newDate=this.moveMonth(this.date,dir);newViewDate=this.moveMonth(this.viewDate,dir)}else{if(viewMode===2){newDate=this.moveDate(this.date,dir);newViewDate=this.moveDate(this.viewDate,dir)}else{if(viewMode===1){newDate=this.moveHour(this.date,dir);newViewDate=this.moveHour(this.viewDate,dir)}else{if(viewMode===0){newDate=this.moveMinute(this.date,dir);newViewDate=this.moveMinute(this.viewDate,dir)}}}}}if(this.dateWithinRange(newDate)){this.date=newDate;this.viewDate=newViewDate;this.setValue();this.update();e.preventDefault();dateChanged=true}break;case 38:case 40:if(!this.keyboardNavigation){break}dir=e.keyCode===38?-1:1;viewMode=this.viewMode;if(e.ctrlKey){viewMode+=2}else{if(e.shiftKey){viewMode+=1}}if(viewMode===4){newDate=this.moveYear(this.date,dir);newViewDate=this.moveYear(this.viewDate,dir)}else{if(viewMode===3){newDate=this.moveMonth(this.date,dir);newViewDate=this.moveMonth(this.viewDate,dir)}else{if(viewMode===2){newDate=this.moveDate(this.date,dir*7);newViewDate=this.moveDate(this.viewDate,dir*7)}else{if(viewMode===1){if(this.showMeridian){newDate=this.moveHour(this.date,dir*6);newViewDate=this.moveHour(this.viewDate,dir*6)}else{newDate=this.moveHour(this.date,dir*4);newViewDate=this.moveHour(this.viewDate,dir*4)}}else{if(viewMode===0){newDate=this.moveMinute(this.date,dir*4);newViewDate=this.moveMinute(this.viewDate,dir*4)}}}}}if(this.dateWithinRange(newDate)){this.date=newDate;this.viewDate=newViewDate;this.setValue();this.update();e.preventDefault();dateChanged=true}break;case 13:if(this.viewMode!==0){var oldViewMode=this.viewMode;this.showMode(-1);this.fill();if(oldViewMode===this.viewMode&&this.autoclose){this.hide()}}else{this.fill();if(this.autoclose){this.hide()}}e.preventDefault();break;case 9:this.hide();break}if(dateChanged){var element;if(this.isInput){element=this.element}else{if(this.component){element=this.element.find("input")}}if(element){element.change()}this.element.trigger({type:"changeDate",date:this.getDate()})}},showMode:function(dir){if(dir){var newViewMode=Math.max(0,Math.min(DPGlobal.modes.length-1,this.viewMode+dir));if(newViewMode>=this.minView&&newViewMode<=this.maxView){this.element.trigger({type:"changeMode",date:this.viewDate,oldViewMode:this.viewMode,newViewMode:newViewMode});this.viewMode=newViewMode}}this.picker.find(">div").hide().filter(".datetimepicker-"+DPGlobal.modes[this.viewMode].clsName).css("display","block");this.updateNavArrows()},reset:function(){this._setDate(null,"date")},convertViewModeText:function(viewMode){switch(viewMode){case 4:return"decade";case 3:return"year";case 2:return"month";case 1:return"day";case 0:return"hour"}}};var old=$.fn.datetimepicker;$.fn.datetimepicker=function(option){var args=Array.apply(null,arguments);args.shift();var internal_return;this.each(function(){var $this=$(this),data=$this.data("datetimepicker"),options=typeof option==="object"&&option;if(!data){$this.data("datetimepicker",(data=new Datetimepicker(this,$.extend({},$.fn.datetimepicker.defaults,options))))}if(typeof option==="string"&&typeof data[option]==="function"){internal_return=data[option].apply(data,args);if(internal_return!==undefined){return false}}});if(internal_return!==undefined){return internal_return}else{return this}};$.fn.datetimepicker.defaults={};$.fn.datetimepicker.Constructor=Datetimepicker;var dates=$.fn.datetimepicker.dates={"zh-cn":{days:["星期日","星期一","星期二","星期三","星期四","星期五","星期六","星期日"],daysShort:["周日","周一","周二","周三","周四","周五","周六","周日"],daysMin:["日","一","二","三","四","五","六","日"],months:["一月","二月","三月","四月","五月","六月","七月","八月","九月","十月","十一月","十二月"],monthsShort:["一月","二月","三月","四月","五月","六月","七月","八月","九月","十月","十一月","十二月"],meridiem:["上午","下午"],suffix:["st","nd","rd","th"],today:"今天",clear:"清除"},en:{days:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday","Sunday"],daysShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat","Sun"],daysMin:["Su","Mo","Tu","We","Th","Fr","Sa","Su"],months:["January","February","March","April","May","June","July","August","September","October","November","December"],monthsShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],meridiem:["am","pm"],suffix:["st","nd","rd","th"],today:"Today",clear:"Clear"}};var DPGlobal={modes:[{clsName:"minutes",navFnc:"Hours",navStep:1},{clsName:"hours",navFnc:"Date",navStep:1},{clsName:"days",navFnc:"Month",navStep:1},{clsName:"months",navFnc:"FullYear",navStep:1},{clsName:"years",navFnc:"FullYear",navStep:10}],isLeapYear:function(year){return(((year%4===0)&&(year%100!==0))||(year%400===0))},getDaysInMonth:function(year,month){return[31,(DPGlobal.isLeapYear(year)?29:28),31,30,31,30,31,31,30,31,30,31][month]},getDefaultFormat:function(type,field){if(type==="standard"){if(field==="input"){return"yyyy-mm-dd hh:ii"}else{return"yyyy-mm-dd hh:ii:ss"}}else{if(type==="php"){if(field==="input"){return"Y-m-d H:i"}else{return"Y-m-d H:i:s"}}else{throw new Error("Invalid format type.")}}},validParts:function(type){if(type==="standard"){return/t|hh?|HH?|p|P|z|Z|ii?|ss?|dd?|DD?|mm?|MM?|yy(?:yy)?/g}else{if(type==="php"){return/[dDjlNwzFmMnStyYaABgGhHis]/g}else{throw new Error("Invalid format type.")}}},nonpunctuation:/[^ -\/:-@\[-`{-~\t\n\rTZ]+/g,parseFormat:function(format,type){var separators=format.replace(this.validParts(type),"\0").split("\0"),parts=format.match(this.validParts(type));if(!separators||!separators.length||!parts||parts.length===0){throw new Error("Invalid date format.")}return{separators:separators,parts:parts}},parseDate:function(date,format,language,type,timezone){if(date instanceof Date){var dateUTC=new Date(date.valueOf()-date.getTimezoneOffset()*60000);dateUTC.setMilliseconds(0);return dateUTC}if(/^\d{4}\-\d{1,2}\-\d{1,2}$/.test(date)){format=this.parseFormat("yyyy-mm-dd",type)}if(/^\d{4}\-\d{1,2}\-\d{1,2}[T ]\d{1,2}\:\d{1,2}$/.test(date)){format=this.parseFormat("yyyy-mm-dd hh:ii",type)}if(/^\d{4}\-\d{1,2}\-\d{1,2}[T ]\d{1,2}\:\d{1,2}\:\d{1,2}[Z]{0,1}$/.test(date)){format=this.parseFormat("yyyy-mm-dd hh:ii:ss",type)}if(/^[-+]\d+[dmwy]([\s,]+[-+]\d+[dmwy])*$/.test(date)){var part_re=/([-+]\d+)([dmwy])/,parts=date.match(/([-+]\d+)([dmwy])/g),part,dir;date=new Date();for(var i=0;i<parts.length;i++){part=part_re.exec(parts[i]);dir=parseInt(part[1]);switch(part[2]){case"d":date.setUTCDate(date.getUTCDate()+dir);break;case"m":date=Datetimepicker.prototype.moveMonth.call(Datetimepicker.prototype,date,dir);break;case"w":date.setUTCDate(date.getUTCDate()+dir*7);break;case"y":date=Datetimepicker.prototype.moveYear.call(Datetimepicker.prototype,date,dir);break}}return UTCDate(date.getUTCFullYear(),date.getUTCMonth(),date.getUTCDate(),date.getUTCHours(),date.getUTCMinutes(),date.getUTCSeconds(),0)}var parts=date&&date.toString().match(this.nonpunctuation)||[],date=new Date(0,0,0,0,0,0,0),parsed={},setters_order=["hh","h","ii","i","ss","s","yyyy","yy","M","MM","m","mm","D","DD","d","dd","H","HH","p","P","z","Z"],setters_map={hh:function(d,v){return d.setUTCHours(v)},h:function(d,v){return d.setUTCHours(v)},HH:function(d,v){return d.setUTCHours(v===12?0:v)},H:function(d,v){return d.setUTCHours(v===12?0:v)},ii:function(d,v){return d.setUTCMinutes(v)},i:function(d,v){return d.setUTCMinutes(v)},ss:function(d,v){return d.setUTCSeconds(v)},s:function(d,v){return d.setUTCSeconds(v)},yyyy:function(d,v){return d.setUTCFullYear(v)},yy:function(d,v){return d.setUTCFullYear(2000+v)},m:function(d,v){v-=1;while(v<0){v+=12}v%=12;d.setUTCMonth(v);while(d.getUTCMonth()!==v){if(isNaN(d.getUTCMonth())){return d}else{d.setUTCDate(d.getUTCDate()-1)}}return d},d:function(d,v){return d.setUTCDate(v)},p:function(d,v){return d.setUTCHours(v===1?d.getUTCHours()+12:d.getUTCHours())},z:function(){return timezone}},val,filtered,part;setters_map["M"]=setters_map["MM"]=setters_map["mm"]=setters_map["m"];setters_map["dd"]=setters_map["d"];setters_map["P"]=setters_map["p"];setters_map["Z"]=setters_map["z"];date=UTCDate(date.getFullYear(),date.getMonth(),date.getDate(),date.getHours(),date.getMinutes(),date.getSeconds());if(parts.length===format.parts.length){for(var i=0,cnt=format.parts.length;i<cnt;i++){val=parseInt(parts[i],10);part=format.parts[i];if(isNaN(val)){switch(part){case"MM":filtered=$(dates[language].months).filter(function(){var m=this.slice(0,parts[i].length),p=parts[i].slice(0,m.length);return m===p});val=$.inArray(filtered[0],dates[language].months)+1;break;case"M":filtered=$(dates[language].monthsShort).filter(function(){var m=this.slice(0,parts[i].length),p=parts[i].slice(0,m.length);return m.toLowerCase()===p.toLowerCase()});val=$.inArray(filtered[0],dates[language].monthsShort)+1;break;case"p":case"P":val=$.inArray(parts[i].toLowerCase(),dates[language].meridiem);break;case"z":case"Z":timezone;break}}parsed[part]=val}for(var i=0,s;i<setters_order.length;i++){s=setters_order[i];if(s in parsed&&!isNaN(parsed[s])){setters_map[s](date,parsed[s])}}}return date},formatDate:function(date,format,language,type,timezone){if(date===null){return""}var val;if(type==="standard"){val={t:date.getTime(),yy:date.getUTCFullYear().toString().substring(2),yyyy:date.getUTCFullYear(),m:date.getUTCMonth()+1,M:dates[language].monthsShort[date.getUTCMonth()],MM:dates[language].months[date.getUTCMonth()],d:date.getUTCDate(),D:dates[language].daysShort[date.getUTCDay()],DD:dates[language].days[date.getUTCDay()],p:(dates[language].meridiem.length===2?dates[language].meridiem[date.getUTCHours()<12?0:1]:""),h:date.getUTCHours(),i:date.getUTCMinutes(),s:date.getUTCSeconds(),z:timezone};if(dates[language].meridiem.length===2){val.H=(val.h%12===0?12:val.h%12)}else{val.H=val.h}val.HH=(val.H<10?"0":"")+val.H;val.P=val.p.toUpperCase();val.Z=val.z;val.hh=(val.h<10?"0":"")+val.h;val.ii=(val.i<10?"0":"")+val.i;val.ss=(val.s<10?"0":"")+val.s;val.dd=(val.d<10?"0":"")+val.d;val.mm=(val.m<10?"0":"")+val.m}else{if(type==="php"){val={y:date.getUTCFullYear().toString().substring(2),Y:date.getUTCFullYear(),F:dates[language].months[date.getUTCMonth()],M:dates[language].monthsShort[date.getUTCMonth()],n:date.getUTCMonth()+1,t:DPGlobal.getDaysInMonth(date.getUTCFullYear(),date.getUTCMonth()),j:date.getUTCDate(),l:dates[language].days[date.getUTCDay()],D:dates[language].daysShort[date.getUTCDay()],w:date.getUTCDay(),N:(date.getUTCDay()===0?7:date.getUTCDay()),S:(date.getUTCDate()%10<=dates[language].suffix.length?dates[language].suffix[date.getUTCDate()%10-1]:""),a:(dates[language].meridiem.length===2?dates[language].meridiem[date.getUTCHours()<12?0:1]:""),g:(date.getUTCHours()%12===0?12:date.getUTCHours()%12),G:date.getUTCHours(),i:date.getUTCMinutes(),s:date.getUTCSeconds()};val.m=(val.n<10?"0":"")+val.n;val.d=(val.j<10?"0":"")+val.j;val.A=val.a.toString().toUpperCase();val.h=(val.g<10?"0":"")+val.g;val.H=(val.G<10?"0":"")+val.G;val.i=(val.i<10?"0":"")+val.i;val.s=(val.s<10?"0":"")+val.s}else{throw new Error("Invalid format type.")}}var date=[],seps=$.extend([],format.separators);for(var i=0,cnt=format.parts.length;i<cnt;i++){if(seps.length){date.push(seps.shift())}date.push(val[format.parts[i]])}if(seps.length){date.push(seps.shift())}return date.join("")},convertViewMode:function(viewMode){switch(viewMode){case 4:case"decade":viewMode=4;break;case 3:case"year":viewMode=3;break;case 2:case"month":viewMode=2;break;case 1:case"day":viewMode=1;break;case 0:case"hour":viewMode=0;break}return viewMode},headTemplate:"<thead>"+"<tr>"+'<th class="prev"><i class="{iconType} {leftArrow}"/></th>'+'<th colspan="5" class="switch"></th>'+'<th class="next"><i class="{iconType} {rightArrow}"/></th>'+"</tr>"+"</thead>",headTemplateV3:"<thead>"+"<tr>"+'<th class="prev"><span class="{iconType} {leftArrow}"></span> </th>'+'<th colspan="5" class="switch"></th>'+'<th class="next"><span class="{iconType} {rightArrow}"></span> </th>'+"</tr>"+"</thead>",contTemplate:'<tbody><tr><td colspan="7"></td></tr></tbody>',footTemplate:"<tfoot>"+'<tr><th colspan="7" class="today"></th></tr>'+'<tr><th colspan="7" class="clear"></th></tr>'+"</tfoot>"};DPGlobal.template='<div class="datetimepicker">'+'<div class="datetimepicker-minutes">'+'<table class=" table-condensed">'+DPGlobal.headTemplate+DPGlobal.contTemplate+DPGlobal.footTemplate+"</table>"+"</div>"+'<div class="datetimepicker-hours">'+'<table class=" table-condensed">'+DPGlobal.headTemplate+DPGlobal.contTemplate+DPGlobal.footTemplate+"</table>"+"</div>"+'<div class="datetimepicker-days">'+'<table class=" table-condensed">'+DPGlobal.headTemplate+"<tbody></tbody>"+DPGlobal.footTemplate+"</table>"+"</div>"+'<div class="datetimepicker-months">'+'<table class="table-condensed">'+DPGlobal.headTemplate+DPGlobal.contTemplate+DPGlobal.footTemplate+"</table>"+"</div>"+'<div class="datetimepicker-years">'+'<table class="table-condensed">'+DPGlobal.headTemplate+DPGlobal.contTemplate+DPGlobal.footTemplate+"</table>"+"</div>"+"</div>";DPGlobal.templateV3='<div class="datetimepicker">'+'<div class="datetimepicker-minutes">'+'<table class=" table-condensed">'+DPGlobal.headTemplateV3+DPGlobal.contTemplate+DPGlobal.footTemplate+"</table>"+"</div>"+'<div class="datetimepicker-hours">'+'<table class=" table-condensed">'+DPGlobal.headTemplateV3+DPGlobal.contTemplate+DPGlobal.footTemplate+"</table>"+"</div>"+'<div class="datetimepicker-days">'+'<table class=" table-condensed">'+DPGlobal.headTemplateV3+"<tbody></tbody>"+DPGlobal.footTemplate+"</table>"+"</div>"+'<div class="datetimepicker-months">'+'<table class="table-condensed">'+DPGlobal.headTemplateV3+DPGlobal.contTemplate+DPGlobal.footTemplate+"</table>"+"</div>"+'<div class="datetimepicker-years">'+'<table 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1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/datapicker/bootstrap-datetimepicker.css | /*!
* Datetimepicker for Bootstrap
*
* Copyright 2012 Stefan Petre
* Improvements by Andrew Rowls
* Licensed under the Apache License v2.0
* http://www.apache.org/licenses/LICENSE-2.0
*
*/
.datetimepicker {
padding: 4px;
margin-top: 1px;
-webkit-border-radius: 4px;
-moz-border-radius: 4px;
border-radius: 4px;
direction: ltr;
}
.datetimepicker-inline {
width: 220px;
}
.datetimepicker.datetimepicker-rtl {
direction: rtl;
}
.datetimepicker.datetimepicker-rtl table tr td span {
float: right;
}
.datetimepicker-dropdown, .datetimepicker-dropdown-left {
top: 0;
left: 0;
}
[class*=" datetimepicker-dropdown"]:before {
content: '';
display: inline-block;
border-left: 7px solid transparent;
border-right: 7px solid transparent;
border-bottom: 7px solid #cccccc;
border-bottom-color: rgba(0, 0, 0, 0.2);
position: absolute;
}
[class*=" datetimepicker-dropdown"]:after {
content: '';
display: inline-block;
border-left: 6px solid transparent;
border-right: 6px solid transparent;
border-bottom: 6px solid #ffffff;
position: absolute;
}
[class*=" datetimepicker-dropdown-top"]:before {
content: '';
display: inline-block;
border-left: 7px solid transparent;
border-right: 7px solid transparent;
border-top: 7px solid #cccccc;
border-top-color: rgba(0, 0, 0, 0.2);
border-bottom: 0;
}
[class*=" datetimepicker-dropdown-top"]:after {
content: '';
display: inline-block;
border-left: 6px solid transparent;
border-right: 6px solid transparent;
border-top: 6px solid #ffffff;
border-bottom: 0;
}
.datetimepicker-dropdown-bottom-left:before {
top: -7px;
right: 6px;
}
.datetimepicker-dropdown-bottom-left:after {
top: -6px;
right: 7px;
}
.datetimepicker-dropdown-bottom-right:before {
top: -7px;
left: 6px;
}
.datetimepicker-dropdown-bottom-right:after {
top: -6px;
left: 7px;
}
.datetimepicker-dropdown-top-left:before {
bottom: -7px;
right: 6px;
}
.datetimepicker-dropdown-top-left:after {
bottom: -6px;
right: 7px;
}
.datetimepicker-dropdown-top-right:before {
bottom: -7px;
left: 6px;
}
.datetimepicker-dropdown-top-right:after {
bottom: -6px;
left: 7px;
}
.datetimepicker > div {
display: none;
}
.datetimepicker.minutes div.datetimepicker-minutes {
display: block;
}
.datetimepicker.hours div.datetimepicker-hours {
display: block;
}
.datetimepicker.days div.datetimepicker-days {
display: block;
}
.datetimepicker.months div.datetimepicker-months {
display: block;
}
.datetimepicker.years div.datetimepicker-years {
display: block;
}
.datetimepicker table {
margin: 0;
}
.datetimepicker td,
.datetimepicker th {
text-align: center;
width: 20px;
height: 20px;
-webkit-border-radius: 4px;
-moz-border-radius: 4px;
border-radius: 4px;
border: none;
}
.table-striped .datetimepicker table tr td,
.table-striped .datetimepicker table tr th {
background-color: transparent;
}
.datetimepicker table tr td.minute:hover {
background: #eeeeee;
cursor: pointer;
}
.datetimepicker table tr td.hour:hover {
background: #eeeeee;
cursor: pointer;
}
.datetimepicker table tr td.day:hover {
background: #eeeeee;
cursor: pointer;
}
.datetimepicker table tr td.old,
.datetimepicker table tr td.new {
color: #999999;
}
.datetimepicker table tr td.disabled,
.datetimepicker table tr td.disabled:hover {
background: none;
color: #999999;
cursor: default;
}
.datetimepicker table tr td.today,
.datetimepicker table tr td.today:hover,
.datetimepicker table tr td.today.disabled,
.datetimepicker table tr td.today.disabled:hover {
background-color: #fde19a;
background-image: -moz-linear-gradient(top, #fdd49a, #fdf59a);
background-image: -ms-linear-gradient(top, #fdd49a, #fdf59a);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#fdd49a), to(#fdf59a));
background-image: -webkit-linear-gradient(top, #fdd49a, #fdf59a);
background-image: -o-linear-gradient(top, #fdd49a, #fdf59a);
background-image: linear-gradient(to bottom, #fdd49a, #fdf59a);
background-repeat: repeat-x;
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fdd49a', endColorstr='#fdf59a', GradientType=0);
border-color: #fdf59a #fdf59a #fbed50;
border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
}
.datetimepicker table tr td.today:hover,
.datetimepicker table tr td.today:hover:hover,
.datetimepicker table tr td.today.disabled:hover,
.datetimepicker table tr td.today.disabled:hover:hover,
.datetimepicker table tr td.today:active,
.datetimepicker table tr td.today:hover:active,
.datetimepicker table tr td.today.disabled:active,
.datetimepicker table tr td.today.disabled:hover:active,
.datetimepicker table tr td.today.active,
.datetimepicker table tr td.today:hover.active,
.datetimepicker table tr td.today.disabled.active,
.datetimepicker table tr td.today.disabled:hover.active,
.datetimepicker table tr td.today.disabled,
.datetimepicker table tr td.today:hover.disabled,
.datetimepicker table tr td.today.disabled.disabled,
.datetimepicker table tr td.today.disabled:hover.disabled,
.datetimepicker table tr td.today[disabled],
.datetimepicker table tr td.today:hover[disabled],
.datetimepicker table tr td.today.disabled[disabled],
.datetimepicker table tr td.today.disabled:hover[disabled] {
background-color: #fdf59a;
}
.datetimepicker table tr td.today:active,
.datetimepicker table tr td.today:hover:active,
.datetimepicker table tr td.today.disabled:active,
.datetimepicker table tr td.today.disabled:hover:active,
.datetimepicker table tr td.today.active,
.datetimepicker table tr td.today:hover.active,
.datetimepicker table tr td.today.disabled.active,
.datetimepicker table tr td.today.disabled:hover.active {
background-color: #fbf069;
}
.datetimepicker table tr td.active,
.datetimepicker table tr td.active:hover,
.datetimepicker table tr td.active.disabled,
.datetimepicker table tr td.active.disabled:hover {
background-color: #006dcc;
background-image: -moz-linear-gradient(top, #0088cc, #0044cc);
background-image: -ms-linear-gradient(top, #0088cc, #0044cc);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#0088cc), to(#0044cc));
background-image: -webkit-linear-gradient(top, #0088cc, #0044cc);
background-image: -o-linear-gradient(top, #0088cc, #0044cc);
background-image: linear-gradient(to bottom, #0088cc, #0044cc);
background-repeat: repeat-x;
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#0088cc', endColorstr='#0044cc', GradientType=0);
border-color: #0044cc #0044cc #002a80;
border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
color: #ffffff;
text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
}
.datetimepicker table tr td.active:hover,
.datetimepicker table tr td.active:hover:hover,
.datetimepicker table tr td.active.disabled:hover,
.datetimepicker table tr td.active.disabled:hover:hover,
.datetimepicker table tr td.active:active,
.datetimepicker table tr td.active:hover:active,
.datetimepicker table tr td.active.disabled:active,
.datetimepicker table tr td.active.disabled:hover:active,
.datetimepicker table tr td.active.active,
.datetimepicker table tr td.active:hover.active,
.datetimepicker table tr td.active.disabled.active,
.datetimepicker table tr td.active.disabled:hover.active,
.datetimepicker table tr td.active.disabled,
.datetimepicker table tr td.active:hover.disabled,
.datetimepicker table tr td.active.disabled.disabled,
.datetimepicker table tr td.active.disabled:hover.disabled,
.datetimepicker table tr td.active[disabled],
.datetimepicker table tr td.active:hover[disabled],
.datetimepicker table tr td.active.disabled[disabled],
.datetimepicker table tr td.active.disabled:hover[disabled] {
background-color: #0044cc;
}
.datetimepicker table tr td.active:active,
.datetimepicker table tr td.active:hover:active,
.datetimepicker table tr td.active.disabled:active,
.datetimepicker table tr td.active.disabled:hover:active,
.datetimepicker table tr td.active.active,
.datetimepicker table tr td.active:hover.active,
.datetimepicker table tr td.active.disabled.active,
.datetimepicker table tr td.active.disabled:hover.active {
background-color: #003399;
}
.datetimepicker table tr td span {
display: block;
width: 23%;
height: 54px;
line-height: 54px;
float: left;
margin: 1%;
cursor: pointer;
-webkit-border-radius: 4px;
-moz-border-radius: 4px;
border-radius: 4px;
}
.datetimepicker .datetimepicker-hours span {
height: 26px;
line-height: 26px;
}
.datetimepicker .datetimepicker-hours table tr td span.hour_am,
.datetimepicker .datetimepicker-hours table tr td span.hour_pm {
width: 14.6%;
}
.datetimepicker .datetimepicker-hours fieldset legend,
.datetimepicker .datetimepicker-minutes fieldset legend {
margin-bottom: inherit;
line-height: 30px;
}
.datetimepicker .datetimepicker-minutes span {
height: 26px;
line-height: 26px;
}
.datetimepicker table tr td span:hover {
background: #eeeeee;
}
.datetimepicker table tr td span.disabled,
.datetimepicker table tr td span.disabled:hover {
background: none;
color: #999999;
cursor: default;
}
.datetimepicker table tr td span.active,
.datetimepicker table tr td span.active:hover,
.datetimepicker table tr td span.active.disabled,
.datetimepicker table tr td span.active.disabled:hover {
background-color: #006dcc;
background-image: -moz-linear-gradient(top, #0088cc, #0044cc);
background-image: -ms-linear-gradient(top, #0088cc, #0044cc);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#0088cc), to(#0044cc));
background-image: -webkit-linear-gradient(top, #0088cc, #0044cc);
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.datetimepicker table tr td span.active.disabled:hover,
.datetimepicker table tr td span.active.disabled:hover:hover,
.datetimepicker table tr td span.active:active,
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.datetimepicker table tr td span.active.active,
.datetimepicker table tr td span.active:hover.active,
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.datetimepicker table tr td span.active.disabled:hover.active,
.datetimepicker table tr td span.active.disabled,
.datetimepicker table tr td span.active:hover.disabled,
.datetimepicker table tr td span.active.disabled.disabled,
.datetimepicker table tr td span.active.disabled:hover.disabled,
.datetimepicker table tr td span.active[disabled],
.datetimepicker table tr td span.active:hover[disabled],
.datetimepicker table tr td span.active.disabled[disabled],
.datetimepicker table tr td span.active.disabled:hover[disabled] {
background-color: #0044cc;
}
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.datetimepicker table tr td span.active.disabled:hover:active,
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background-color: #003399;
}
.datetimepicker table tr td span.old {
color: #999999;
}
.datetimepicker th.switch {
width: 145px;
}
.datetimepicker th span.glyphicon {
pointer-events: none;
}
.datetimepicker thead tr:first-child th,
.datetimepicker tfoot th {
cursor: pointer;
}
.datetimepicker thead tr:first-child th:hover,
.datetimepicker tfoot th:hover {
background: #eeeeee;
}
.input-append.date .add-on i,
.input-prepend.date .add-on i,
.input-group.date .input-group-addon span {
cursor: pointer;
width: 14px;
height: 14px;
}
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1y33/100Days | ReadMe.md | # Project Progress and Tasks
Bro in CUDA 📗 : https://github.com/a-hamdi/cuda
Mentor 🚀 : https://github.com/hkproj | https://github.com/hkproj/100-days-of-gpu
### Mandatory and Optional Tasks
| Day | Task Description |
|-------|-----------------------------------------------------------------------------------------------------|
| D15 | **Mandatory FA2-Forward**: Implement forward pass for FA2 (e.g., a custom neural network layer). |
| D20 | **Mandatory FA2-Backwards**: Implement backward pass for FA2 (e.g., gradient computation). |
| D20 | **Optional Fused Chunked CE Loss + Backwards**: Fused implementation of chunked cross-entropy loss with backward pass. Can use Liger Kernel as a reference implementation. |
---
### Project Progress by Day
| Day | Files & Summaries |
|-------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| day1 | **printAdd.cu**: Print global indices for 1D vector (index calculation).<br>**addition.cu**: GPU vector addition; basics of memory allocation/host-device transfer. |
| day2 | **function.cu**: Use `__device__` function in kernel; per-thread calculations. |
| day3 | **addMatrix.cu**: 2D matrix addition; map row/column indices to threads.<br>**anotherMatrix.cu**: Transform matrices with custom function; 2D index operations. |
| day4 | **layerNorm.cu**: Layer normalization using shared memory; mean/variance computation. |
| day5 | **vectorSumTricks.cu**: Parallel vector sum via reduction; shared memory optimizations. |
| day6 | **SMBlocks.cu**: Retrieve SM ID per thread via inline PTX.<br>**SoftMax.cu**: Shared-memory softmax; split exponent/normalization steps.<br>**TransposeMatrix.cu**: Matrix transpose via index swapping.<br>**ImportingToPython/rollcall.cu**: Python-CUDA integration.<br>**AdditionKernel/additionKernel.cu**: Modify PyTorch tensors in CUDA. |
| day7 | **naive.cu**: Naive matrix multiplication.<br>**matmul.cu**: Tiled matmul with shared memory.<br>**conv1d.cu**: 1D convolution with shared memory.<br>**pythontest.py**: Validate custom convolution against PyTorch. |
| day8 | **pmpbook/chapter3matvecmul.cu**: Matrix-vector multiplication.<br>**pmpbook/chapter3ex.cu**: Benchmarks different matrix add kernels.<br>**pmpbook/deviceinfo.cu**: Prints device properties.<br>**pmpbook/color2gray.cu**: Convert RGB to grayscale.<br>**pmpbook/vecaddition.cu**: Another vector addition example.<br>**pmpbook/imageblur.cu**: Simple image blur.<br>**selfAttention/selfAttention.cu**: Self-attention kernel with online softmax. |
| day9 | **flashAttentionFromTut.cu**: Minimal Flash Attention kernel with shared memory tiling.<br>**bind.cpp**: Torch C++ extension bindings for Flash Attention.<br>**test.py**: Tests the minimal Flash Attention kernel against a manual softmax-based attention for comparison. |
| day10 | **ppmbook/matrixmul.cu**: Matrix multiplication using CUDA.<br>**setup.py**: Torch extension build script for CUDA code (FlashAttention).<br>**FlashAttention.cu**: Example Flash Attention CUDA kernel.<br>**FlashAttention.cpp**: Torch bindings for the Flash Attention kernel.<br>**test.py**: Manual vs. CUDA-based attention test.<br>**linking/test.py**: Builds simple CUDA kernel for testing linking.<br>**linking/simpleKernel.cpp**: Torch extension binding for a simple CUDA kernel.<br>**linking/simpleKernel.cu**: Simple CUDA kernel that increments a tensor. |
| day11 | **FlashTestPytorch/**: Custom Flash Attention in PyTorch, tests and benchmarks.<br>**testbackward.py**: Gradient comparison between custom CUDA kernels and PyTorch. |
| day12 | **softMax.cu**: Additional softmax kernel with shared memory optimization.<br>**NN/kernels.cu**: Tiled kernel implementation and layer initialization.<br>**tileMatrix.cu**: Demonstrates tile-based matrix operations. |
| day13 | **RMS.cu**: RMS kernel (V1) with naive sum-of-squares approach.<br>**RMSBetter.cu**: RMS kernel (V2) using warp-reduce optimization,float4 +others .<br>**binding.cpp**: Torch bindings for RMS kernels.<br>**test.py**: Tests and benchmarks RMS kernels vs PyTorch. |
| day14 | **FA2/flash.cu & kernels.cu**: Second iteration of Flash Attention featuring partial forward/backward logic. <br>**helper.cuh**: Utility functions and warp-reduce helpers. <br>**conv.cu**: Basic 2D convolution with shared memory. |
| day15 | **Attention.cu**: Single-headed attention kernel vs. CPU reference. <br>**dotproduct.cu**: Batched/tiled dot-product kernel for vectors or matrices. <br>**SMM.cu**: Sparse matrix multiplication in CSR format. |
| day16 | **attentionbwkd.cu**: Extends attention with gradient computation; forward & backward passes. |
| day17 | **cublas1.cu**, **cublas2.cu**, **cublas3.cu**: Various cuBLAS examples for dot products, axpy, max/min, and other BLAS operations. |
| day18 | **wrap.cu**: Warp-based reduction and max-finding with inline PTX.<br>**atomic1.cu**, **atomic2.cu**: Implement and test custom atomic increment operations. |
| day19 | **cublasMM.cu**: Matrix multiplication with cuBLAS plus a simple self-attention example. |
| day20 | **rope.cu**: Rope (rotary positional encoding) kernel and its PyTorch extension.<br>**test_rope.py**: Benchmarks for the rope kernel. |
#### How to load into Pytorch:
- (optional) create tempalte kernel
- create kernelforward where you set up the grids and other calculations
- create `.cpp` file
- import the header of the file
- create a wraper so that you can use tensors
- use PYBIN11_MODULE to create a torchextension
- in `.py` file : `torch.utils.cpp_extension.load()` use it to load the files and it will compile | 6,658 | ReadMe | md | en | markdown | text | {"qsc_doc_frac_chars_curly_bracket": 0.0, "qsc_doc_frac_words_redpajama_stop": 0.10280374, "qsc_doc_num_sentences": 134.0, "qsc_doc_num_words": 733, "qsc_doc_num_chars": 6658.0, "qsc_doc_num_lines": 46.0, "qsc_doc_mean_word_length": 5.45839018, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with_readmore": 0.0, "qsc_doc_frac_lines_start_with_bullet": 0.0, "qsc_doc_frac_words_unique": 0.420191, "qsc_doc_entropy_unigram": 5.17870583, "qsc_doc_frac_words_all_caps": 0.0382328, "qsc_doc_frac_lines_dupe_lines": 0.0, "qsc_doc_frac_chars_dupe_lines": 0.0, "qsc_doc_frac_chars_top_2grams": 0.023994, "qsc_doc_frac_chars_top_3grams": 0.019995, "qsc_doc_frac_chars_top_4grams": 0.0099975, "qsc_doc_frac_chars_dupe_5grams": 0.0059985, "qsc_doc_frac_chars_dupe_6grams": 0.0, "qsc_doc_frac_chars_dupe_7grams": 0.0, "qsc_doc_frac_chars_dupe_8grams": 0.0, "qsc_doc_frac_chars_dupe_9grams": 0.0, "qsc_doc_frac_chars_dupe_10grams": 0.0, "qsc_doc_frac_chars_replacement_symbols": 0.0, "qsc_doc_cate_code_related_file_name": 1.0, "qsc_doc_num_chars_sentence_length_mean": 36.20111732, "qsc_doc_frac_chars_hyperlink_html_tag": 0.02162812, "qsc_doc_frac_chars_alphabet": 0.77369249, "qsc_doc_frac_chars_digital": 0.01258356, "qsc_doc_frac_chars_whitespace": 0.23610694, "qsc_doc_frac_chars_hex_words": 0.0} | 1 | {"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_8grams": 0, "qsc_doc_frac_chars_dupe_9grams": 0, "qsc_doc_frac_chars_dupe_10grams": 0, "qsc_doc_frac_chars_dupe_lines": 0, "qsc_doc_frac_lines_dupe_lines": 0, "qsc_doc_frac_lines_end_with_readmore": 0, "qsc_doc_frac_lines_start_with_bullet": 0, "qsc_doc_frac_words_all_caps": 0, "qsc_doc_mean_word_length": 0, "qsc_doc_num_chars": 0, "qsc_doc_num_lines": 0, "qsc_doc_num_sentences": 0, "qsc_doc_num_words": 0, "qsc_doc_frac_chars_hex_words": 0, "qsc_doc_frac_chars_hyperlink_html_tag": 0, "qsc_doc_frac_chars_alphabet": 0, "qsc_doc_frac_chars_digital": 0, "qsc_doc_frac_chars_whitespace": 0} |
1c-syntax/ssl_3_1 | src/cf/Reports/МестаИспользованияСсылок/Ext/Help/ru.html | <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"><html><head><meta content="text/html;charset=utf-8" http-equiv="content-type"></meta><link rel="stylesheet" type="text/css" href="v8help://service_book/service_style"></link><meta name="GENERATOR" content="MSHTML 11.00.10570.1001"></meta></head><body>
<p>Отчет предназначен для просмотра сведений об использовании элементов списков в документах приложения.</p>
<p>При работе в приложении <a href="Catalog.Пользователи/Help">пользователи</a> могут по ошибке допускать дублирование элементов, от которого необходимо избавляться, т.к. это мешает правильному учету в приложении. При использовании этих дублирующихся элементов могут быть ссылки то на один, то на другой, в результате происходят ошибки, например, в бухгалтерском учете списание денежных средств проходит некорректно и т.п. </p>
<p>Для того чтобы была возможность удалить дубли из приложения, сначала необходимо удалить ссылки на них в документах.Отчет показывает, в каких документах приложения используются данные объекты. </p>
<p style="MARGIN: 0cm 0cm 6pt">Отчет открывается из списков приложения по команде <strong>Еще - Места использования</strong>. </p>
<p style="MARGIN: 0cm 0cm 6pt">В отчете выводится: </p>
<ul><li><strong>Наименование, Код</strong> выбранных элементов списка;
</li>
<li><strong>Места использования</strong> - документ, его номер и дата;
</li>
<li>Количество <strong>Вхождений</strong>.</li></ul><h3>Формирование отчета</h3>
<ul><li>Выделите один или несколько элементов списка, выполните команду <strong>Еще -</strong> <strong>Места использования</strong>, отчет формируется автоматически.
</li>
<li>Отчет сгруппирован по выбранным элементам списка. По каждому элементу выводятся документы приложения, в которых имеются ссылки на этот элемент и количество вхождений, при этом подсчитывается суммарное количество вхождений по каждому элементу и общая сумма по отчету.
</li>
<li>С помощью двойного щелчка мыши по соответствующей ячейке отчета можно перейти к элементам списка или к документу, в котором имеется ссылка на эти элементы.</li></ul><h3>См. также:</h3>
<ul><li><a href="v8help://mngui/reportFormMain">Настройка отчета</a>.</li></ul></body></html> | 2,209 | ru | html | ru | html | code | {"qsc_code_num_words": 318, "qsc_code_num_chars": 2209.0, "qsc_code_mean_word_length": 5.38993711, "qsc_code_frac_words_unique": 0.55660377, "qsc_code_frac_chars_top_2grams": 0.00466744, "qsc_code_frac_chars_top_3grams": 0.042007, "qsc_code_frac_chars_top_4grams": 0.01516919, "qsc_code_frac_chars_dupe_5grams": 0.02567095, "qsc_code_frac_chars_dupe_6grams": 0.02567095, "qsc_code_frac_chars_dupe_7grams": 0.02567095, "qsc_code_frac_chars_dupe_8grams": 0.0, "qsc_code_frac_chars_dupe_9grams": 0.0, "qsc_code_frac_chars_dupe_10grams": 0.0, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.01466869, "qsc_code_frac_chars_whitespace": 0.1050249, "qsc_code_size_file_byte": 2209.0, "qsc_code_num_lines": 17.0, "qsc_code_num_chars_line_max": 428.0, "qsc_code_num_chars_line_mean": 129.94117647, "qsc_code_frac_chars_alphabet": 0.85179565, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.23529412, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.11272069, "qsc_code_frac_chars_long_word_length": 0.05070167, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codehtml_cate_ast": 1.0, "qsc_codehtml_frac_words_text": 0.67768221, "qsc_codehtml_num_chars_text": 1497.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 1, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_codehtml_cate_ast": 0, "qsc_codehtml_frac_words_text": 0, "qsc_codehtml_num_chars_text": 0} |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/fullscreen/jquery.fullscreen.js | /**
* 基于jQuery FullScreen修改
* 新增支持IE全屏显示
* Copyright (c) 2019 ruoyi
*/
(function(jQuery) {
/**
* Sets or gets the fullscreen state.
*
* @param {boolean=} state
* True to enable fullscreen mode, false to disable it. If not
* specified then the current fullscreen state is returned.
* @return {boolean|Element|jQuery|null}
* When querying the fullscreen state then the current fullscreen
* element (or true if browser doesn't support it) is returned
* when browser is currently in full screen mode. False is returned
* if browser is not in full screen mode. Null is returned if
* browser doesn't support fullscreen mode at all. When setting
* the fullscreen state then the current jQuery selection is
* returned for chaining.
* @this {jQuery}
*/
function fullScreen(state)
{
var e, func, doc;
// Do nothing when nothing was selected
if (!this.length) return this;
// We only use the first selected element because it doesn't make sense
// to fullscreen multiple elements.
e = (/** @type {Element} */ this[0]);
// Find the real element and the document (Depends on whether the
// document itself or a HTML element was selected)
if (e.ownerDocument)
{
doc = e.ownerDocument;
}
else
{
doc = e;
e = doc.documentElement;
}
// When no state was specified then return the current state.
if (state == null)
{
// When fullscreen mode is not supported then return null
if (!((/** @type {?Function} */ doc["exitFullscreen"])
|| (/** @type {?Function} */ doc["webkitExitFullscreen"])
|| (/** @type {?Function} */ doc["webkitCancelFullScreen"])
|| (/** @type {?Function} */ doc["msExitFullscreen"])
|| (/** @type {?Function} */ doc["mozCancelFullScreen"])))
{
return null;
}
// Check fullscreen state
state = !!doc["fullscreenElement"]
|| !!doc["msFullscreenElement"]
|| !!doc["webkitIsFullScreen"]
|| !!doc["mozFullScreen"];
if (!state) return state;
// Return current fullscreen element or "true" if browser doesn't
// support this
return (/** @type {?Element} */ doc["fullscreenElement"])
|| (/** @type {?Element} */ doc["webkitFullscreenElement"])
|| (/** @type {?Element} */ doc["webkitCurrentFullScreenElement"])
|| (/** @type {?Element} */ doc["msFullscreenElement"])
|| (/** @type {?Element} */ doc["mozFullScreenElement"])
|| state;
}
// When state was specified then enter or exit fullscreen mode.
if (state)
{
// Enter fullscreen
func = (/** @type {?Function} */ e["requestFullscreen"])
|| (/** @type {?Function} */ e["webkitRequestFullscreen"])
|| (/** @type {?Function} */ e["webkitRequestFullScreen"])
|| (/** @type {?Function} */ e["msRequestFullscreen"])
|| (/** @type {?Function} */ e["mozRequestFullScreen"]);
if (func)
{
func.call(e);
}
return this;
}
else
{
// Exit fullscreen
func = (/** @type {?Function} */ doc["exitFullscreen"])
|| (/** @type {?Function} */ doc["webkitExitFullscreen"])
|| (/** @type {?Function} */ doc["webkitCancelFullScreen"])
|| (/** @type {?Function} */ doc["msExitFullscreen"])
|| (/** @type {?Function} */ doc["mozCancelFullScreen"]);
if (func) func.call(doc);
return this;
}
}
/**
* Toggles the fullscreen mode.
*
* @return {!jQuery}
* The jQuery selection for chaining.
* @this {jQuery}
*/
function toggleFullScreen()
{
return (/** @type {!jQuery} */ fullScreen.call(this,
!fullScreen.call(this)));
}
/**
* Handles the browser-specific fullscreenchange event and triggers
* a jquery event for it.
*
* @param {?Event} event
* The fullscreenchange event.
*/
function fullScreenChangeHandler(event)
{
jQuery(document).trigger(new jQuery.Event("fullscreenchange"));
}
/**
* Handles the browser-specific fullscreenerror event and triggers
* a jquery event for it.
*
* @param {?Event} event
* The fullscreenerror event.
*/
function fullScreenErrorHandler(event)
{
jQuery(document).trigger(new jQuery.Event("fullscreenerror"));
}
/**
* Installs the fullscreenchange event handler.
*/
function installFullScreenHandlers()
{
var e, change, error;
// Determine event name
e = document;
if (e["webkitCancelFullScreen"])
{
change = "webkitfullscreenchange";
error = "webkitfullscreenerror";
}
else if (e["msExitFullscreen"])
{
change = "MSFullscreenChange";
error = "MSFullscreenError";
}
else if (e["mozCancelFullScreen"])
{
change = "mozfullscreenchange";
error = "mozfullscreenerror";
}
else
{
change = "fullscreenchange";
error = "fullscreenerror";
}
// Install the event handlers
jQuery(document).bind(change, fullScreenChangeHandler);
jQuery(document).bind(error, fullScreenErrorHandler);
}
jQuery.fn["fullScreen"] = fullScreen;
jQuery.fn["toggleFullScreen"] = toggleFullScreen;
installFullScreenHandlers();
})(jQuery);
| 6,192 | jquery.fullscreen | js | en | javascript | code | {"qsc_code_num_words": 498, "qsc_code_num_chars": 6192.0, "qsc_code_mean_word_length": 6.38955823, "qsc_code_frac_words_unique": 0.27108434, "qsc_code_frac_chars_top_2grams": 0.0565682, "qsc_code_frac_chars_top_3grams": 0.04714016, "qsc_code_frac_chars_top_4grams": 0.01414205, "qsc_code_frac_chars_dupe_5grams": 0.26398492, "qsc_code_frac_chars_dupe_6grams": 0.23884349, "qsc_code_frac_chars_dupe_7grams": 0.22093023, "qsc_code_frac_chars_dupe_8grams": 0.16907605, "qsc_code_frac_chars_dupe_9grams": 0.16907605, "qsc_code_frac_chars_dupe_10grams": 0.16907605, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.00126646, "qsc_code_frac_chars_whitespace": 0.3624031, "qsc_code_size_file_byte": 6192.0, "qsc_code_num_lines": 182.0, "qsc_code_num_chars_line_max": 83.0, "qsc_code_num_chars_line_mean": 34.02197802, "qsc_code_frac_chars_alphabet": 0.80471125, "qsc_code_frac_chars_comments": 0.43023256, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.1047619, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.2040238, "qsc_code_frac_chars_long_word_length": 0.05894021, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0, "qsc_codejavascript_cate_ast": 1.0, "qsc_codejavascript_cate_var_zero": 0.0, "qsc_codejavascript_frac_lines_func_ratio": 0.04761905, "qsc_codejavascript_num_statement_line": 0.00952381, "qsc_codejavascript_score_lines_no_logic": 0.12380952, "qsc_codejavascript_frac_words_legal_var_name": 1.0, "qsc_codejavascript_frac_words_legal_func_name": 1.0, "qsc_codejavascript_frac_words_legal_class_name": null, "qsc_codejavascript_frac_lines_print": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0, "qsc_codejavascript_cate_ast": 0, "qsc_codejavascript_cate_var_zero": 0, "qsc_codejavascript_frac_lines_func_ratio": 0, "qsc_codejavascript_score_lines_no_logic": 0, "qsc_codejavascript_frac_lines_print": 0} |
1c-syntax/ssl_3_1 | src/cf/Reports/МестаИспользованияСсылок/Templates/ОсновнаяСхемаКомпоновкиДанных/Ext/Template.xml | <?xml version="1.0" encoding="UTF-8"?>
<DataCompositionSchema xmlns="http://v8.1c.ru/8.1/data-composition-system/schema" xmlns:dcscom="http://v8.1c.ru/8.1/data-composition-system/common" xmlns:dcscor="http://v8.1c.ru/8.1/data-composition-system/core" xmlns:dcsset="http://v8.1c.ru/8.1/data-composition-system/settings" xmlns:v8="http://v8.1c.ru/8.1/data/core" xmlns:v8ui="http://v8.1c.ru/8.1/data/ui" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<dataSource>
<name>ИсточникДанных</name>
<dataSourceType>Local</dataSourceType>
</dataSource>
<dataSet xsi:type="DataSetObject">
<name>МестаИспользования</name>
<field xsi:type="DataSetFieldField">
<dataPath>Ссылка</dataPath>
<field>Ссылка</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Наименование</v8:content>
</v8:item>
</title>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>Данные</dataPath>
<field>Данные</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Данные</v8:content>
</v8:item>
</title>
<presentationExpression>ПредставлениеДанных</presentationExpression>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ПредставлениеДанных</dataPath>
<field>ПредставлениеДанных</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Представление данных</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:string</v8:Type>
<v8:StringQualifiers>
<v8:Length>0</v8:Length>
<v8:AllowedLength>Variable</v8:AllowedLength>
</v8:StringQualifiers>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ТипСсылки</dataPath>
<field>ТипСсылки</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Тип ссылки</v8:content>
</v8:item>
</title>
<useRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</useRestriction>
<attributeUseRestriction>
<field>true</field>
<condition>true</condition>
<group>true</group>
<order>true</order>
</attributeUseRestriction>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ВспомогательныеДанные</dataPath>
<field>ВспомогательныеДанные</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Вспомогательные данные</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<field xsi:type="DataSetFieldField">
<dataPath>ЭтоСлужебныеДанные</dataPath>
<field>ЭтоСлужебныеДанные</field>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Это служебные данные</v8:content>
</v8:item>
</title>
<valueType>
<v8:Type>xs:boolean</v8:Type>
</valueType>
</field>
<dataSource>ИсточникДанных</dataSource>
<objectName>МестаИспользования</objectName>
</dataSet>
<calculatedField>
<dataPath>КоличествоДанных</dataPath>
<expression>ВЫБОР
КОГДА ЭтоСлужебныеДанные ТОГДА 0
ИНАЧЕ 1
КОНЕЦ</expression>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Вхождений</v8:content>
</v8:item>
</title>
<useRestriction>
<condition>true</condition>
<group>true</group>
<order>true</order>
</useRestriction>
</calculatedField>
<totalField>
<dataPath>КоличествоДанных</dataPath>
<expression>Сумма(КоличествоДанных)</expression>
<group>Данные</group>
<group>Ссылка</group>
<group>ОбщийИтог</group>
</totalField>
<parameter>
<name>НаборСсылок</name>
<title xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Список элементов</v8:content>
</v8:item>
</title>
<valueType>
<v8:TypeSet xmlns:d4p1="http://v8.1c.ru/8.1/data/enterprise/current-config">d4p1:AnyIBRef</v8:TypeSet>
</valueType>
<useRestriction>false</useRestriction>
<valueListAllowed>true</valueListAllowed>
<denyIncompleteValues>true</denyIncompleteValues>
</parameter>
<settingsVariant>
<dcsset:name>Основной</dcsset:name>
<dcsset:presentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Места использования объектов приложения</v8:content>
</v8:item>
</dcsset:presentation>
<dcsset:settings xmlns:style="http://v8.1c.ru/8.1/data/ui/style" xmlns:sys="http://v8.1c.ru/8.1/data/ui/fonts/system" xmlns:web="http://v8.1c.ru/8.1/data/ui/colors/web" xmlns:win="http://v8.1c.ru/8.1/data/ui/colors/windows">
<dcsset:dataParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>НаборСсылок</dcscor:parameter>
<dcscor:value xsi:nil="true"/>
<dcsset:userSettingID>5bef22e4-9ca8-45bc-aaa6-29de7d91e343</dcsset:userSettingID>
<dcsset:userSettingPresentation xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Список элементов</v8:content>
</v8:item>
</dcsset:userSettingPresentation>
</dcscor:item>
</dcsset:dataParameters>
<dcsset:outputParameters>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьЗаголовок</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">Output</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Заголовок</dcscor:parameter>
<dcscor:value xsi:type="xs:string"/>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьПараметрыДанных</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>ВыводитьОтбор</dcscor:parameter>
<dcscor:value xsi:type="dcsset:DataCompositionTextOutputType">DontOutput</dcscor:value>
</dcscor:item>
</dcsset:outputParameters>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>Ссылка</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>Ссылка</dcsset:field>
</dcsset:item>
<dcsset:item xsi:type="dcsset:SelectedItemField">
<dcsset:field>КоличествоДанных</dcsset:field>
<dcsset:lwsTitle>
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>Вхождений</v8:content>
</v8:item>
</dcsset:lwsTitle>
</dcsset:item>
</dcsset:selection>
<dcsset:conditionalAppearance>
<dcsset:item>
<dcsset:selection>
<dcsset:item>
<dcsset:field>КоличествоДанных</dcsset:field>
</dcsset:item>
</dcsset:selection>
<dcsset:filter/>
<dcsset:appearance>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>Формат</dcscor:parameter>
<dcscor:value xsi:type="v8:LocalStringType">
<v8:item>
<v8:lang>ru</v8:lang>
<v8:content>ЧН='Не используется'</v8:content>
</v8:item>
</dcscor:value>
</dcscor:item>
<dcscor:item xsi:type="dcsset:SettingsParameterValue">
<dcscor:parameter>МинимальнаяШирина</dcscor:parameter>
<dcscor:value xsi:type="xs:decimal">15</dcscor:value>
</dcscor:item>
</dcsset:appearance>
</dcsset:item>
</dcsset:conditionalAppearance>
<dcsset:item xsi:type="dcsset:StructureItemGroup">
<dcsset:groupItems>
<dcsset:item xsi:type="dcsset:GroupItemField">
<dcsset:field>Данные</dcsset:field>
<dcsset:groupType>Items</dcsset:groupType>
<dcsset:periodAdditionType>None</dcsset:periodAdditionType>
<dcsset:periodAdditionBegin xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionBegin>
<dcsset:periodAdditionEnd xsi:type="xs:dateTime">0001-01-01T00:00:00</dcsset:periodAdditionEnd>
</dcsset:item>
</dcsset:groupItems>
<dcsset:filter>
<dcsset:item xsi:type="dcsset:FilterItemComparison">
<dcsset:left xsi:type="dcscor:Field">ЭтоСлужебныеДанные</dcsset:left>
<dcsset:comparisonType>Equal</dcsset:comparisonType>
<dcsset:right xsi:type="xs:boolean">false</dcsset:right>
</dcsset:item>
</dcsset:filter>
<dcsset:order>
<dcsset:item xsi:type="dcsset:OrderItemAuto"/>
</dcsset:order>
<dcsset:selection>
<dcsset:item xsi:type="dcsset:SelectedItemField">
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<v8:lang>ru</v8:lang>
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</DataCompositionSchema> | 9,827 | Template | xml | ru | xml | data | {"qsc_code_num_words": 1094, "qsc_code_num_chars": 9827.0, "qsc_code_mean_word_length": 6.14625229, "qsc_code_frac_words_unique": 0.15630713, "qsc_code_frac_chars_top_2grams": 0.04997026, "qsc_code_frac_chars_top_3grams": 0.04253421, "qsc_code_frac_chars_top_4grams": 0.04550863, "qsc_code_frac_chars_dupe_5grams": 0.67459845, "qsc_code_frac_chars_dupe_6grams": 0.64143367, "qsc_code_frac_chars_dupe_7grams": 0.58462225, "qsc_code_frac_chars_dupe_8grams": 0.55398572, "qsc_code_frac_chars_dupe_9grams": 0.51041047, "qsc_code_frac_chars_dupe_10grams": 0.47813801, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02922506, "qsc_code_frac_chars_whitespace": 0.15040195, "qsc_code_size_file_byte": 9827.0, "qsc_code_num_lines": 271.0, "qsc_code_num_chars_line_max": 461.0, "qsc_code_num_chars_line_mean": 36.26199262, "qsc_code_frac_chars_alphabet": 0.77602108, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 1.0, "qsc_code_frac_lines_dupe_lines": 0.64944649, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.15915335, "qsc_code_frac_chars_long_word_length": 0.05769818, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 1, "qsc_code_cate_autogen": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0} |
1y33/100Days | day41/MLA.cu | #include <cuda_runtime.h>
#include <iostream>
#include <cmath>
#include <cstdlib>
#define DIM 128
#define NHEADS 4
#define QPROJ_DIM 64
#define KVPROJ_DIM 85
#define HEADDIM 32
__global__ void matmul_kernel(const float* A, const float* B, float* C, int M, int N, int K) {
int row = blockIdx.y * blockDim.y + threadIdx.y;
int col = blockIdx.x * blockDim.x + threadIdx.x;
if (row < M && col < N) {
float sum = 0.0f;
for (int i = 0; i < K; i++) {
sum += A[row * K + i] * B[i * N + col];
}
C[row * N + col] = sum;
}
}
__global__ void layernorm_kernel(const float* input, float* output, int D, float epsilon) {
int idx = blockIdx.x;
float mean = 0.0f, var = 0.0f;
for (int i = 0; i < D; i++){
mean += input[idx * D + i];
}
mean /= D;
for (int i = 0; i < D; i++){
float diff = input[idx * D + i] - mean;
var += diff * diff;
}
var /= D;
float inv_std = rsqrtf(var + epsilon);
for (int i = 0; i < D; i++){
output[idx * D + i] = (input[idx * D + i] - mean) * inv_std;
}
}
__global__ void attention_kernel(const float* Q, const float* K, const float* V, float* output, int S, int d) {
int q_idx = blockIdx.x;
extern __shared__ float shared[];
float score = 0.0f;
for (int j = threadIdx.x; j < S; j += blockDim.x) {
float dot = 0.0f;
for (int k = 0; k < d; k++){
dot += Q[q_idx * d + k] * K[j * d + k];
}
dot /= sqrtf((float)d);
shared[j] = dot;
}
__syncthreads();
float max_val = -1e20f;
for (int j = 0; j < S; j++){
if (shared[j] > max_val) max_val = shared[j];
}
float sum_exp = 0.0f;
for (int j = 0; j < S; j++){
shared[j] = expf(shared[j] - max_val);
sum_exp += shared[j];
}
for (int k = threadIdx.x; k < d; k += blockDim.x){
float out_val = 0.0f;
for (int j = 0; j < S; j++){
float weight = shared[j] / sum_exp;
out_val += weight * V[j * d + k];
}
output[q_idx * d + k] = out_val;
}
}
struct WEIGHTS {
float* W_DQ;
float* W_UQ;
float* W_DKV;
float* W_UKV;
float* WO;
};
void init_weights(WEIGHTS &w) {
w.W_DQ = (float*)malloc(DIM * QPROJ_DIM * sizeof(float));
w.W_UQ = (float*)malloc(QPROJ_DIM * DIM * sizeof(float));
w.W_DKV = (float*)malloc(DIM * KVPROJ_DIM * sizeof(float));
w.W_UKV = (float*)malloc(KVPROJ_DIM * DIM * 2 * sizeof(float));
w.WO = (float*)malloc(DIM * DIM * sizeof(float));
for (int i = 0; i < DIM * QPROJ_DIM; i++)
w.W_DQ[i] = ((float)rand()/RAND_MAX - 0.5f) * 0.02f;
for (int i = 0; i < QPROJ_DIM * DIM; i++)
w.W_UQ[i] = ((float)rand()/RAND_MAX - 0.5f) * 0.02f;
for (int i = 0; i < DIM * KVPROJ_DIM; i++)
w.W_DKV[i] = ((float)rand()/RAND_MAX - 0.5f) * 0.02f;
for (int i = 0; i < KVPROJ_DIM * DIM * 2; i++)
w.W_UKV[i] = ((float)rand()/RAND_MAX - 0.5f) * 0.02f;
for (int i = 0; i < DIM * DIM; i++)
w.WO[i] = ((float)rand()/RAND_MAX - 0.5f) * 0.02f;
}
int main(){
const int S = 64;
const int B = 1;
float* x_host = (float*)malloc(B * S * DIM * sizeof(float));
for (int i = 0; i < B * S * DIM; i++) {
x_host[i] = ((float)rand()/RAND_MAX - 0.5f);
}
WEIGHTS weights;
init_weights(weights);
float* x_dev;
cudaMalloc(&x_dev, B * S * DIM * sizeof(float));
cudaMemcpy(x_dev, x_host, B * S * DIM * sizeof(float), cudaMemcpyHostToDevice);
float* compressed_q_dev;
cudaMalloc(&compressed_q_dev, S * QPROJ_DIM * sizeof(float));
float* Q_dev;
cudaMalloc(&Q_dev, S * DIM * sizeof(float));
float* compressed_kv_dev;
cudaMalloc(&compressed_kv_dev, S * KVPROJ_DIM * sizeof(float));
float* KV_dev;
cudaMalloc(&KV_dev, S * DIM * 2 * sizeof(float));
float* x_out_dev;
cudaMalloc(&x_out_dev, S * DIM * sizeof(float));
float* W_DQ_dev;
cudaMalloc(&W_DQ_dev, DIM * QPROJ_DIM * sizeof(float));
cudaMemcpy(W_DQ_dev, weights.W_DQ, DIM * QPROJ_DIM * sizeof(float), cudaMemcpyHostToDevice);
{
dim3 threads(16, 16);
dim3 blocks((QPROJ_DIM + threads.x - 1) / threads.x, (S + threads.y - 1) / threads.y);
matmul_kernel<<<blocks, threads>>>(x_dev, W_DQ_dev, compressed_q_dev, S, QPROJ_DIM, DIM);
cudaDeviceSynchronize();
}
layernorm_kernel<<<S, 1>>>(compressed_q_dev, compressed_q_dev, QPROJ_DIM, 1e-5);
cudaDeviceSynchronize();
float* W_UQ_dev;
cudaMalloc(&W_UQ_dev, QPROJ_DIM * DIM * sizeof(float));
cudaMemcpy(W_UQ_dev, weights.W_UQ, QPROJ_DIM * DIM * sizeof(float), cudaMemcpyHostToDevice);
{
dim3 threads(16, 16);
dim3 blocks((DIM + threads.x - 1) / threads.x, (S + threads.y - 1) / threads.y);
matmul_kernel<<<blocks, threads>>>(compressed_q_dev, W_UQ_dev, Q_dev, S, DIM, QPROJ_DIM);
cudaDeviceSynchronize();
}
float* W_DKV_dev;
cudaMalloc(&W_DKV_dev, DIM * KVPROJ_DIM * sizeof(float));
cudaMemcpy(W_DKV_dev, weights.W_DKV, DIM * KVPROJ_DIM * sizeof(float), cudaMemcpyHostToDevice);
{
dim3 threads(16, 16);
dim3 blocks((KVPROJ_DIM + threads.x - 1) / threads.x, (S + threads.y - 1) / threads.y);
matmul_kernel<<<blocks, threads>>>(x_dev, W_DKV_dev, compressed_kv_dev, S, KVPROJ_DIM, DIM);
cudaDeviceSynchronize();
}
layernorm_kernel<<<S, 1>>>(compressed_kv_dev, compressed_kv_dev, KVPROJ_DIM, 1e-5);
cudaDeviceSynchronize();
float* W_UKV_dev;
cudaMalloc(&W_UKV_dev, KVPROJ_DIM * DIM * 2 * sizeof(float));
cudaMemcpy(W_UKV_dev, weights.W_UKV, KVPROJ_DIM * DIM * 2 * sizeof(float), cudaMemcpyHostToDevice);
{
dim3 threads(16, 16);
dim3 blocks((DIM * 2 + threads.x - 1) / threads.x, (S + threads.y - 1) / threads.y);
matmul_kernel<<<blocks, threads>>>(compressed_kv_dev, W_UKV_dev, KV_dev, S, DIM * 2, KVPROJ_DIM);
cudaDeviceSynchronize();
}
float* K_dev = KV_dev;
float* V_dev = KV_dev + S * DIM;
float* head_outputs_dev;
cudaMalloc(&head_outputs_dev, NHEADS * S * HEADDIM * sizeof(float));
for (int h = 0; h < NHEADS; h++) {
float* Q_head = Q_dev + h * HEADDIM;
float* K_head = K_dev + h * HEADDIM;
float* V_head = V_dev + h * HEADDIM;
float* out_head = head_outputs_dev + h * S * HEADDIM;
attention_kernel<<<S, 32, S * sizeof(float)>>>(Q_head, K_head, V_head, out_head, S, HEADDIM);
cudaDeviceSynchronize();
}
float* head_outputs_host = (float*)malloc(NHEADS * S * HEADDIM * sizeof(float));
cudaMemcpy(head_outputs_host, head_outputs_dev, NHEADS * S * HEADDIM * sizeof(float), cudaMemcpyDeviceToHost);
float* x_out_host = (float*)malloc(S * DIM * sizeof(float));
for (int s = 0; s < S; s++){
for (int h = 0; h < NHEADS; h++){
for (int i = 0; i < HEADDIM; i++){
x_out_host[s * DIM + h * HEADDIM + i] = head_outputs_host[h * S * HEADDIM + s * HEADDIM + i];
}
}
}
cudaMemcpy(x_out_dev, x_out_host, S * DIM * sizeof(float), cudaMemcpyHostToDevice);
float* WO_dev;
cudaMalloc(&WO_dev, DIM * DIM * sizeof(float));
cudaMemcpy(WO_dev, weights.WO, DIM * DIM * sizeof(float), cudaMemcpyHostToDevice);
float* final_out_dev;
cudaMalloc(&final_out_dev, S * DIM * sizeof(float));
{
dim3 threads(16, 16);
dim3 blocks((DIM + threads.x - 1) / threads.x, (S + threads.y - 1) / threads.y);
matmul_kernel<<<blocks, threads>>>(x_out_dev, WO_dev, final_out_dev, S, DIM, DIM);
cudaDeviceSynchronize();
}
float* final_out_host = (float*)malloc(S * DIM * sizeof(float));
cudaMemcpy(final_out_host, final_out_dev, S * DIM * sizeof(float), cudaMemcpyDeviceToHost);
std::cout << "Final output (first row):\n";
for (int i = 0; i < DIM; i++){
std::cout << final_out_host[i] << " ";
}
std::cout << std::endl;
cudaFree(x_dev);
cudaFree(compressed_q_dev);
cudaFree(Q_dev);
cudaFree(compressed_kv_dev);
cudaFree(KV_dev);
cudaFree(x_out_dev);
cudaFree(W_DQ_dev);
cudaFree(W_UQ_dev);
cudaFree(W_DKV_dev);
cudaFree(W_UKV_dev);
cudaFree(WO_dev);
cudaFree(final_out_dev);
cudaFree(head_outputs_dev);
free(x_host);
free(head_outputs_host);
free(x_out_host);
free(final_out_host);
free(weights.W_DQ);
free(weights.W_UQ);
free(weights.W_DKV);
free(weights.W_UKV);
free(weights.WO);
return 0;
}
| 8,535 | MLA | cu | en | cuda | code | {"qsc_code_num_words": 1266, "qsc_code_num_chars": 8535.0, "qsc_code_mean_word_length": 3.73538705, "qsc_code_frac_words_unique": 0.09083728, "qsc_code_frac_chars_top_2grams": 0.07443434, "qsc_code_frac_chars_top_3grams": 0.07105096, "qsc_code_frac_chars_top_4grams": 0.02030027, "qsc_code_frac_chars_dupe_5grams": 0.44364559, "qsc_code_frac_chars_dupe_6grams": 0.34573906, "qsc_code_frac_chars_dupe_7grams": 0.26707549, "qsc_code_frac_chars_dupe_8grams": 0.23260732, "qsc_code_frac_chars_dupe_9grams": 0.16959188, "qsc_code_frac_chars_dupe_10grams": 0.1585959, "qsc_code_frac_chars_replacement_symbols": 0.0, "qsc_code_frac_chars_digital": 0.02085308, "qsc_code_frac_chars_whitespace": 0.25834798, "qsc_code_size_file_byte": 8535.0, "qsc_code_num_lines": 240.0, "qsc_code_num_chars_line_max": 115.0, "qsc_code_num_chars_line_mean": 35.5625, "qsc_code_frac_chars_alphabet": 0.72622433, "qsc_code_frac_chars_comments": 0.0, "qsc_code_cate_xml_start": 0.0, "qsc_code_frac_lines_dupe_lines": 0.10502283, "qsc_code_cate_autogen": 0.0, "qsc_code_frac_lines_long_string": 0.0, "qsc_code_frac_chars_string_length": 0.00328061, "qsc_code_frac_chars_long_word_length": 0.0, "qsc_code_frac_lines_string_concat": 0.0, "qsc_code_cate_encoded_data": 0.0, "qsc_code_frac_chars_hex_words": 0.0, "qsc_code_frac_lines_prompt_comments": 0.0, "qsc_code_frac_lines_assert": 0.0} | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc_code_frac_chars_dupe_7grams": 0, "qsc_code_frac_chars_dupe_8grams": 0, "qsc_code_frac_chars_dupe_9grams": 0, "qsc_code_frac_chars_dupe_10grams": 0, "qsc_code_frac_lines_dupe_lines": 0, "qsc_code_size_file_byte": 0, "qsc_code_num_lines": 0, "qsc_code_num_chars_line_max": 0, "qsc_code_num_chars_line_mean": 0, "qsc_code_frac_chars_alphabet": 0, "qsc_code_frac_chars_digital": 0, "qsc_code_frac_chars_whitespace": 0, "qsc_code_frac_chars_comments": 0, "qsc_code_cate_xml_start": 0, "qsc_code_cate_autogen": 0, "qsc_code_frac_lines_long_string": 0, "qsc_code_frac_chars_string_length": 0, "qsc_code_frac_chars_long_word_length": 0, "qsc_code_cate_encoded_data": 0, "qsc_code_frac_chars_hex_words": 0, "qsc_code_frac_lines_prompt_comments": 0, "qsc_code_frac_lines_assert": 0} |
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