Joshua Lochner
commited on
Commit
·
3fd1e1e
1
Parent(s):
17feb06
Add requirements.txt and update model
Browse files- added_tokens.json +1 -1
- config.json +1 -1
- pipeline.py +16 -12
- pytorch_model.bin +1 -1
- requirements.txt +1 -0
- rng_state.pth +2 -2
- scheduler.pt +1 -1
- tokenizer.json +16 -2
- tokenizer_config.json +1 -1
- trainer_state.json +84 -513
- training_args.bin +1 -1
- youtube_transcript_api2/__init__.py +0 -16
- youtube_transcript_api2/__main__.py +0 -15
- youtube_transcript_api2/_api.py +0 -140
- youtube_transcript_api2/_cli.py +0 -135
- youtube_transcript_api2/_errors.py +0 -112
- youtube_transcript_api2/_html_unescaping.py +0 -21
- youtube_transcript_api2/_settings.py +0 -1
- youtube_transcript_api2/_transcripts.py +0 -332
- youtube_transcript_api2/formatters.py +0 -165
added_tokens.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"
|
|
|
|
| 1 |
+
{"END_SELFPROMO_TOKEN": 30537, "START_SPONSOR_TOKEN": 30534, "START_INTERACTION_TOKEN": 30538, "[Applause]": 30530, "NUMBER_PERCENTAGE_TOKEN": 30525, "END_INTERACTION_TOKEN": 30539, "EXTRACT_SEGMENTS: ": 30522, "START_SELFPROMO_TOKEN": 30536, "LONG_WORD_TOKEN": 30528, "HYPHENATED_URL_TOKEN": 30524, "[Laughter]": 30531, "[Music]": 30529, "PROFANITY_TOKEN": 30532, "SHORT_HYPHENATED_TOKEN": 30527, "NUMBER_TOKEN": 30526, "URL_TOKEN": 30523, "BETWEEN_SEGMENTS_TOKEN": 30540, "END_SPONSOR_TOKEN": 30535, "NO_SEGMENT_TOKEN": 30533}
|
config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "
|
| 3 |
"architectures": [
|
| 4 |
"BertForSequenceClassification"
|
| 5 |
],
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "models/sponsorblock-classifier-v2/",
|
| 3 |
"architectures": [
|
| 4 |
"BertForSequenceClassification"
|
| 5 |
],
|
pipeline.py
CHANGED
|
@@ -1,6 +1,11 @@
|
|
| 1 |
import json
|
| 2 |
from functools import lru_cache
|
| 3 |
-
import
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4 |
import json
|
| 5 |
import re
|
| 6 |
import requests
|
|
@@ -165,7 +170,7 @@ def parse_transcript_json(json_data, granularity):
|
|
| 165 |
|
| 166 |
def list_transcripts(video_id):
|
| 167 |
try:
|
| 168 |
-
return
|
| 169 |
except json.decoder.JSONDecodeError:
|
| 170 |
return None
|
| 171 |
|
|
@@ -198,14 +203,13 @@ def get_words(video_id, transcript_type='auto', fallback='manual', filter_words_
|
|
| 198 |
f'{ts._url}&fmt=json3').content
|
| 199 |
if raw_transcript:
|
| 200 |
raw_transcript_json = json.loads(raw_transcript)
|
| 201 |
-
|
| 202 |
-
except (youtube_transcript_api2.TooManyRequests, youtube_transcript_api2.YouTubeRequestFailed):
|
| 203 |
raise # Cannot recover from these errors and do not mark as empty transcript
|
| 204 |
|
| 205 |
except requests.exceptions.RequestException: # Can recover
|
| 206 |
return get_words(video_id, transcript_type, fallback, granularity)
|
| 207 |
|
| 208 |
-
except
|
| 209 |
pass # Mark as empty transcript
|
| 210 |
|
| 211 |
except json.decoder.JSONDecodeError:
|
|
@@ -285,10 +289,11 @@ class PreTrainedPipeline():
|
|
| 285 |
self.tokenizer2 = AutoTokenizer.from_pretrained(path)
|
| 286 |
self.pipeline2 = SponsorBlockClassificationPipeline(
|
| 287 |
model=self.model2, tokenizer=self.tokenizer2)
|
| 288 |
-
|
| 289 |
-
def __call__(self, inputs: str)-> List[Dict[str, Any]]:
|
| 290 |
|
| 291 |
-
|
|
|
|
|
|
|
|
|
|
| 292 |
split_info = inputs.split(',', 1)
|
| 293 |
times = np.reshape(np.array(split_info[1].split(',')), (-1, 2))
|
| 294 |
data = []
|
|
@@ -304,15 +309,14 @@ class PreTrainedPipeline():
|
|
| 304 |
return self.pipeline2(data)
|
| 305 |
|
| 306 |
|
| 307 |
-
|
| 308 |
class SponsorBlockClassificationPipeline(TextClassificationPipeline):
|
| 309 |
def __init__(self, model, tokenizer):
|
| 310 |
super().__init__(model=model, tokenizer=tokenizer, return_all_scores=True)
|
| 311 |
|
| 312 |
def preprocess(self, data, **tokenizer_kwargs):
|
| 313 |
-
if isinstance(data, str):
|
| 314 |
-
text = data
|
| 315 |
-
else:
|
| 316 |
words = get_words(data['video_id'])
|
| 317 |
segment_words = extract_segment(words, data['start'], data['end'])
|
| 318 |
text = ' '.join(x['text'] for x in segment_words)
|
|
|
|
| 1 |
import json
|
| 2 |
from functools import lru_cache
|
| 3 |
+
from youtube_transcript_api import (
|
| 4 |
+
YouTubeTranscriptApi,
|
| 5 |
+
TooManyRequests,
|
| 6 |
+
YouTubeRequestFailed,
|
| 7 |
+
CouldNotRetrieveTranscript
|
| 8 |
+
)
|
| 9 |
import json
|
| 10 |
import re
|
| 11 |
import requests
|
|
|
|
| 170 |
|
| 171 |
def list_transcripts(video_id):
|
| 172 |
try:
|
| 173 |
+
return YouTubeTranscriptApi.list_transcripts(video_id)
|
| 174 |
except json.decoder.JSONDecodeError:
|
| 175 |
return None
|
| 176 |
|
|
|
|
| 203 |
f'{ts._url}&fmt=json3').content
|
| 204 |
if raw_transcript:
|
| 205 |
raw_transcript_json = json.loads(raw_transcript)
|
| 206 |
+
except (TooManyRequests, YouTubeRequestFailed):
|
|
|
|
| 207 |
raise # Cannot recover from these errors and do not mark as empty transcript
|
| 208 |
|
| 209 |
except requests.exceptions.RequestException: # Can recover
|
| 210 |
return get_words(video_id, transcript_type, fallback, granularity)
|
| 211 |
|
| 212 |
+
except CouldNotRetrieveTranscript: # Retrying won't solve
|
| 213 |
pass # Mark as empty transcript
|
| 214 |
|
| 215 |
except json.decoder.JSONDecodeError:
|
|
|
|
| 289 |
self.tokenizer2 = AutoTokenizer.from_pretrained(path)
|
| 290 |
self.pipeline2 = SponsorBlockClassificationPipeline(
|
| 291 |
model=self.model2, tokenizer=self.tokenizer2)
|
|
|
|
|
|
|
| 292 |
|
| 293 |
+
def __call__(self, inputs: str) -> List[Dict[str, Any]]:
|
| 294 |
+
|
| 295 |
+
# Automated call (compressed string)
|
| 296 |
+
if ' ' not in inputs and inputs.count(',') >= 2:
|
| 297 |
split_info = inputs.split(',', 1)
|
| 298 |
times = np.reshape(np.array(split_info[1].split(',')), (-1, 2))
|
| 299 |
data = []
|
|
|
|
| 309 |
return self.pipeline2(data)
|
| 310 |
|
| 311 |
|
|
|
|
| 312 |
class SponsorBlockClassificationPipeline(TextClassificationPipeline):
|
| 313 |
def __init__(self, model, tokenizer):
|
| 314 |
super().__init__(model=model, tokenizer=tokenizer, return_all_scores=True)
|
| 315 |
|
| 316 |
def preprocess(self, data, **tokenizer_kwargs):
|
| 317 |
+
if isinstance(data, str): # If string, assume this is what user wants to classify
|
| 318 |
+
text = data
|
| 319 |
+
else: # Otherwise, get data from transcript
|
| 320 |
words = get_words(data['video_id'])
|
| 321 |
segment_words = extract_segment(words, data['start'], data['end'])
|
| 322 |
text = ' '.join(x['text'] for x in segment_words)
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 438084653
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:012162a219c071b5208c4179f56b8e6263bad1b532f7fc4fc13f0311de5f1729
|
| 3 |
size 438084653
|
requirements.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
youtube_transcript_api
|
rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a203bf3393a6882ed6527945f185bfa78a49e0b8709ba172146c735dcfc1aa6c
|
| 3 |
+
size 14567
|
scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 623
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:28e1eb9d44a2bee663e6731a6c6d574d4d710f519e640406cfff15e0f37ab9f9
|
| 3 |
size 623
|
tokenizer.json
CHANGED
|
@@ -1,7 +1,21 @@
|
|
| 1 |
{
|
| 2 |
"version": "1.0",
|
| 3 |
-
"truncation":
|
| 4 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
"added_tokens": [
|
| 6 |
{
|
| 7 |
"id": 0,
|
|
|
|
| 1 |
{
|
| 2 |
"version": "1.0",
|
| 3 |
+
"truncation": {
|
| 4 |
+
"direction": "Right",
|
| 5 |
+
"max_length": 512,
|
| 6 |
+
"strategy": "LongestFirst",
|
| 7 |
+
"stride": 0
|
| 8 |
+
},
|
| 9 |
+
"padding": {
|
| 10 |
+
"strategy": {
|
| 11 |
+
"Fixed": 512
|
| 12 |
+
},
|
| 13 |
+
"direction": "Right",
|
| 14 |
+
"pad_to_multiple_of": null,
|
| 15 |
+
"pad_id": 0,
|
| 16 |
+
"pad_type_id": 0,
|
| 17 |
+
"pad_token": "[PAD]"
|
| 18 |
+
},
|
| 19 |
"added_tokens": [
|
| 20 |
{
|
| 21 |
"id": 0,
|
tokenizer_config.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "models/classifier-
|
|
|
|
| 1 |
+
{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "models/sponsorblock-classifier-v2/", "tokenizer_class": "BertTokenizer"}
|
trainer_state.json
CHANGED
|
@@ -1,658 +1,229 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch":
|
| 5 |
-
"global_step":
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
"epoch": 0.04,
|
| 12 |
-
"learning_rate": 1.
|
| 13 |
-
"loss": 0.
|
| 14 |
"step": 5000
|
| 15 |
},
|
| 16 |
{
|
| 17 |
"epoch": 0.08,
|
| 18 |
-
"learning_rate": 1.
|
| 19 |
-
"loss": 0.
|
| 20 |
"step": 10000
|
| 21 |
},
|
| 22 |
{
|
| 23 |
"epoch": 0.12,
|
| 24 |
-
"learning_rate": 1.
|
| 25 |
-
"loss": 0.
|
| 26 |
"step": 15000
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"epoch": 0.16,
|
| 30 |
-
"learning_rate": 1.
|
| 31 |
-
"loss": 0.
|
| 32 |
"step": 20000
|
| 33 |
},
|
| 34 |
{
|
| 35 |
"epoch": 0.2,
|
| 36 |
-
"learning_rate": 1.
|
| 37 |
-
"loss": 0.
|
| 38 |
"step": 25000
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.2,
|
| 42 |
-
"eval_accuracy": 0.
|
| 43 |
-
"eval_loss": 0.
|
| 44 |
-
"eval_runtime":
|
| 45 |
-
"eval_samples_per_second":
|
| 46 |
-
"eval_steps_per_second":
|
| 47 |
"step": 25000
|
| 48 |
},
|
| 49 |
{
|
| 50 |
"epoch": 0.24,
|
| 51 |
-
"learning_rate": 1.
|
| 52 |
-
"loss": 0.
|
| 53 |
"step": 30000
|
| 54 |
},
|
| 55 |
{
|
| 56 |
"epoch": 0.28,
|
| 57 |
-
"learning_rate": 1.
|
| 58 |
-
"loss": 0.
|
| 59 |
"step": 35000
|
| 60 |
},
|
| 61 |
{
|
| 62 |
"epoch": 0.32,
|
| 63 |
-
"learning_rate": 1.
|
| 64 |
-
"loss": 0.
|
| 65 |
"step": 40000
|
| 66 |
},
|
| 67 |
{
|
| 68 |
"epoch": 0.35,
|
| 69 |
-
"learning_rate": 1.
|
| 70 |
-
"loss": 0.
|
| 71 |
"step": 45000
|
| 72 |
},
|
| 73 |
{
|
| 74 |
"epoch": 0.39,
|
| 75 |
-
"learning_rate": 1.
|
| 76 |
-
"loss": 0.
|
| 77 |
"step": 50000
|
| 78 |
},
|
| 79 |
{
|
| 80 |
"epoch": 0.39,
|
| 81 |
-
"eval_accuracy": 0.
|
| 82 |
-
"eval_loss": 0.
|
| 83 |
-
"eval_runtime":
|
| 84 |
-
"eval_samples_per_second":
|
| 85 |
-
"eval_steps_per_second": 13.
|
| 86 |
"step": 50000
|
| 87 |
},
|
| 88 |
{
|
| 89 |
"epoch": 0.43,
|
| 90 |
-
"learning_rate": 1.
|
| 91 |
-
"loss": 0.
|
| 92 |
"step": 55000
|
| 93 |
},
|
| 94 |
{
|
| 95 |
"epoch": 0.47,
|
| 96 |
-
"learning_rate": 1.
|
| 97 |
-
"loss": 0.
|
| 98 |
"step": 60000
|
| 99 |
},
|
| 100 |
{
|
| 101 |
"epoch": 0.51,
|
| 102 |
-
"learning_rate":
|
| 103 |
-
"loss": 0.
|
| 104 |
"step": 65000
|
| 105 |
},
|
| 106 |
{
|
| 107 |
"epoch": 0.55,
|
| 108 |
-
"learning_rate":
|
| 109 |
-
"loss": 0.
|
| 110 |
"step": 70000
|
| 111 |
},
|
| 112 |
{
|
| 113 |
"epoch": 0.59,
|
| 114 |
-
"learning_rate":
|
| 115 |
-
"loss": 0.
|
| 116 |
"step": 75000
|
| 117 |
},
|
| 118 |
{
|
| 119 |
"epoch": 0.59,
|
| 120 |
-
"eval_accuracy": 0.
|
| 121 |
-
"eval_loss": 0.
|
| 122 |
-
"eval_runtime":
|
| 123 |
-
"eval_samples_per_second":
|
| 124 |
-
"eval_steps_per_second": 13.
|
| 125 |
"step": 75000
|
| 126 |
},
|
| 127 |
{
|
| 128 |
"epoch": 0.63,
|
| 129 |
-
"learning_rate":
|
| 130 |
-
"loss": 0.
|
| 131 |
"step": 80000
|
| 132 |
},
|
| 133 |
{
|
| 134 |
"epoch": 0.67,
|
| 135 |
-
"learning_rate":
|
| 136 |
-
"loss": 0.
|
| 137 |
"step": 85000
|
| 138 |
},
|
| 139 |
{
|
| 140 |
"epoch": 0.71,
|
| 141 |
-
"learning_rate":
|
| 142 |
-
"loss": 0.
|
| 143 |
"step": 90000
|
| 144 |
},
|
| 145 |
{
|
| 146 |
"epoch": 0.75,
|
| 147 |
-
"learning_rate":
|
| 148 |
-
"loss": 0.
|
| 149 |
"step": 95000
|
| 150 |
},
|
| 151 |
{
|
| 152 |
"epoch": 0.79,
|
| 153 |
-
"learning_rate":
|
| 154 |
-
"loss": 0.
|
| 155 |
"step": 100000
|
| 156 |
},
|
| 157 |
{
|
| 158 |
"epoch": 0.79,
|
| 159 |
-
"eval_accuracy": 0.
|
| 160 |
-
"eval_loss": 0.
|
| 161 |
-
"eval_runtime":
|
| 162 |
-
"eval_samples_per_second":
|
| 163 |
-
"eval_steps_per_second":
|
| 164 |
"step": 100000
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"epoch": 0.83,
|
| 168 |
-
"learning_rate":
|
| 169 |
-
"loss": 0.
|
| 170 |
"step": 105000
|
| 171 |
},
|
| 172 |
{
|
| 173 |
"epoch": 0.87,
|
| 174 |
-
"learning_rate":
|
| 175 |
-
"loss": 0.
|
| 176 |
"step": 110000
|
| 177 |
},
|
| 178 |
{
|
| 179 |
"epoch": 0.91,
|
| 180 |
-
"learning_rate": 1.
|
| 181 |
-
"loss": 0.
|
| 182 |
"step": 115000
|
| 183 |
},
|
| 184 |
{
|
| 185 |
"epoch": 0.95,
|
| 186 |
-
"learning_rate": 1.
|
| 187 |
-
"loss": 0.
|
| 188 |
"step": 120000
|
| 189 |
},
|
| 190 |
{
|
| 191 |
"epoch": 0.98,
|
| 192 |
-
"learning_rate":
|
| 193 |
-
"loss": 0.
|
| 194 |
"step": 125000
|
| 195 |
},
|
| 196 |
{
|
| 197 |
"epoch": 0.98,
|
| 198 |
-
"eval_accuracy": 0.
|
| 199 |
-
"eval_loss": 0.
|
| 200 |
-
"eval_runtime":
|
| 201 |
-
"eval_samples_per_second":
|
| 202 |
-
"eval_steps_per_second":
|
| 203 |
"step": 125000
|
| 204 |
},
|
| 205 |
{
|
| 206 |
"epoch": 1.02,
|
| 207 |
-
"learning_rate": 1.
|
| 208 |
-
"loss": 0.
|
| 209 |
"step": 130000
|
| 210 |
},
|
| 211 |
{
|
| 212 |
"epoch": 1.06,
|
| 213 |
-
"learning_rate": 1.
|
| 214 |
-
"loss": 0.
|
| 215 |
"step": 135000
|
| 216 |
},
|
| 217 |
{
|
| 218 |
"epoch": 1.1,
|
| 219 |
-
"learning_rate": 1.
|
| 220 |
-
"loss": 0.
|
| 221 |
"step": 140000
|
| 222 |
-
},
|
| 223 |
-
{
|
| 224 |
-
"epoch": 1.14,
|
| 225 |
-
"learning_rate": 1.771581600504096e-05,
|
| 226 |
-
"loss": 0.3031,
|
| 227 |
-
"step": 145000
|
| 228 |
-
},
|
| 229 |
-
{
|
| 230 |
-
"epoch": 1.18,
|
| 231 |
-
"learning_rate": 1.7637051039697544e-05,
|
| 232 |
-
"loss": 0.3033,
|
| 233 |
-
"step": 150000
|
| 234 |
-
},
|
| 235 |
-
{
|
| 236 |
-
"epoch": 1.18,
|
| 237 |
-
"eval_accuracy": 0.9257162809371948,
|
| 238 |
-
"eval_loss": 0.4006378650665283,
|
| 239 |
-
"eval_runtime": 519.4649,
|
| 240 |
-
"eval_samples_per_second": 54.421,
|
| 241 |
-
"eval_steps_per_second": 13.606,
|
| 242 |
-
"step": 150000
|
| 243 |
-
},
|
| 244 |
-
{
|
| 245 |
-
"epoch": 1.22,
|
| 246 |
-
"learning_rate": 1.755828607435413e-05,
|
| 247 |
-
"loss": 0.3024,
|
| 248 |
-
"step": 155000
|
| 249 |
-
},
|
| 250 |
-
{
|
| 251 |
-
"epoch": 1.26,
|
| 252 |
-
"learning_rate": 1.7479521109010713e-05,
|
| 253 |
-
"loss": 0.3135,
|
| 254 |
-
"step": 160000
|
| 255 |
-
},
|
| 256 |
-
{
|
| 257 |
-
"epoch": 1.3,
|
| 258 |
-
"learning_rate": 1.74007561436673e-05,
|
| 259 |
-
"loss": 0.3137,
|
| 260 |
-
"step": 165000
|
| 261 |
-
},
|
| 262 |
-
{
|
| 263 |
-
"epoch": 1.34,
|
| 264 |
-
"learning_rate": 1.732199117832388e-05,
|
| 265 |
-
"loss": 0.3227,
|
| 266 |
-
"step": 170000
|
| 267 |
-
},
|
| 268 |
-
{
|
| 269 |
-
"epoch": 1.38,
|
| 270 |
-
"learning_rate": 1.7243226212980467e-05,
|
| 271 |
-
"loss": 0.3246,
|
| 272 |
-
"step": 175000
|
| 273 |
-
},
|
| 274 |
-
{
|
| 275 |
-
"epoch": 1.38,
|
| 276 |
-
"eval_accuracy": 0.924018383026123,
|
| 277 |
-
"eval_loss": 0.3924681842327118,
|
| 278 |
-
"eval_runtime": 518.8244,
|
| 279 |
-
"eval_samples_per_second": 54.489,
|
| 280 |
-
"eval_steps_per_second": 13.623,
|
| 281 |
-
"step": 175000
|
| 282 |
-
},
|
| 283 |
-
{
|
| 284 |
-
"epoch": 1.42,
|
| 285 |
-
"learning_rate": 1.7164461247637053e-05,
|
| 286 |
-
"loss": 0.3281,
|
| 287 |
-
"step": 180000
|
| 288 |
-
},
|
| 289 |
-
{
|
| 290 |
-
"epoch": 1.46,
|
| 291 |
-
"learning_rate": 1.708569628229364e-05,
|
| 292 |
-
"loss": 0.3256,
|
| 293 |
-
"step": 185000
|
| 294 |
-
},
|
| 295 |
-
{
|
| 296 |
-
"epoch": 1.5,
|
| 297 |
-
"learning_rate": 1.700693131695022e-05,
|
| 298 |
-
"loss": 0.313,
|
| 299 |
-
"step": 190000
|
| 300 |
-
},
|
| 301 |
-
{
|
| 302 |
-
"epoch": 1.54,
|
| 303 |
-
"learning_rate": 1.6928166351606807e-05,
|
| 304 |
-
"loss": 0.3313,
|
| 305 |
-
"step": 195000
|
| 306 |
-
},
|
| 307 |
-
{
|
| 308 |
-
"epoch": 1.58,
|
| 309 |
-
"learning_rate": 1.684940138626339e-05,
|
| 310 |
-
"loss": 0.2953,
|
| 311 |
-
"step": 200000
|
| 312 |
-
},
|
| 313 |
-
{
|
| 314 |
-
"epoch": 1.58,
|
| 315 |
-
"eval_accuracy": 0.9212592840194702,
|
| 316 |
-
"eval_loss": 0.3895967900753021,
|
| 317 |
-
"eval_runtime": 526.2623,
|
| 318 |
-
"eval_samples_per_second": 53.718,
|
| 319 |
-
"eval_steps_per_second": 13.431,
|
| 320 |
-
"step": 200000
|
| 321 |
-
},
|
| 322 |
-
{
|
| 323 |
-
"epoch": 1.61,
|
| 324 |
-
"learning_rate": 1.6770636420919976e-05,
|
| 325 |
-
"loss": 0.3103,
|
| 326 |
-
"step": 205000
|
| 327 |
-
},
|
| 328 |
-
{
|
| 329 |
-
"epoch": 1.65,
|
| 330 |
-
"learning_rate": 1.669187145557656e-05,
|
| 331 |
-
"loss": 0.3089,
|
| 332 |
-
"step": 210000
|
| 333 |
-
},
|
| 334 |
-
{
|
| 335 |
-
"epoch": 1.69,
|
| 336 |
-
"learning_rate": 1.6613106490233147e-05,
|
| 337 |
-
"loss": 0.3095,
|
| 338 |
-
"step": 215000
|
| 339 |
-
},
|
| 340 |
-
{
|
| 341 |
-
"epoch": 1.73,
|
| 342 |
-
"learning_rate": 1.653434152488973e-05,
|
| 343 |
-
"loss": 0.3288,
|
| 344 |
-
"step": 220000
|
| 345 |
-
},
|
| 346 |
-
{
|
| 347 |
-
"epoch": 1.77,
|
| 348 |
-
"learning_rate": 1.6455576559546316e-05,
|
| 349 |
-
"loss": 0.3199,
|
| 350 |
-
"step": 225000
|
| 351 |
-
},
|
| 352 |
-
{
|
| 353 |
-
"epoch": 1.77,
|
| 354 |
-
"eval_accuracy": 0.9203749299049377,
|
| 355 |
-
"eval_loss": 0.3942428529262543,
|
| 356 |
-
"eval_runtime": 520.6801,
|
| 357 |
-
"eval_samples_per_second": 54.294,
|
| 358 |
-
"eval_steps_per_second": 13.575,
|
| 359 |
-
"step": 225000
|
| 360 |
-
},
|
| 361 |
-
{
|
| 362 |
-
"epoch": 1.81,
|
| 363 |
-
"learning_rate": 1.6376811594202898e-05,
|
| 364 |
-
"loss": 0.306,
|
| 365 |
-
"step": 230000
|
| 366 |
-
},
|
| 367 |
-
{
|
| 368 |
-
"epoch": 1.85,
|
| 369 |
-
"learning_rate": 1.6298046628859484e-05,
|
| 370 |
-
"loss": 0.3104,
|
| 371 |
-
"step": 235000
|
| 372 |
-
},
|
| 373 |
-
{
|
| 374 |
-
"epoch": 1.89,
|
| 375 |
-
"learning_rate": 1.621928166351607e-05,
|
| 376 |
-
"loss": 0.3139,
|
| 377 |
-
"step": 240000
|
| 378 |
-
},
|
| 379 |
-
{
|
| 380 |
-
"epoch": 1.93,
|
| 381 |
-
"learning_rate": 1.6140516698172656e-05,
|
| 382 |
-
"loss": 0.3179,
|
| 383 |
-
"step": 245000
|
| 384 |
-
},
|
| 385 |
-
{
|
| 386 |
-
"epoch": 1.97,
|
| 387 |
-
"learning_rate": 1.606175173282924e-05,
|
| 388 |
-
"loss": 0.3226,
|
| 389 |
-
"step": 250000
|
| 390 |
-
},
|
| 391 |
-
{
|
| 392 |
-
"epoch": 1.97,
|
| 393 |
-
"eval_accuracy": 0.9243367314338684,
|
| 394 |
-
"eval_loss": 0.4058537185192108,
|
| 395 |
-
"eval_runtime": 552.8946,
|
| 396 |
-
"eval_samples_per_second": 51.131,
|
| 397 |
-
"eval_steps_per_second": 12.784,
|
| 398 |
-
"step": 250000
|
| 399 |
-
},
|
| 400 |
-
{
|
| 401 |
-
"epoch": 2.01,
|
| 402 |
-
"learning_rate": 1.5982986767485824e-05,
|
| 403 |
-
"loss": 0.3167,
|
| 404 |
-
"step": 255000
|
| 405 |
-
},
|
| 406 |
-
{
|
| 407 |
-
"epoch": 2.05,
|
| 408 |
-
"learning_rate": 1.5904221802142407e-05,
|
| 409 |
-
"loss": 0.3034,
|
| 410 |
-
"step": 260000
|
| 411 |
-
},
|
| 412 |
-
{
|
| 413 |
-
"epoch": 2.09,
|
| 414 |
-
"learning_rate": 1.5825456836798993e-05,
|
| 415 |
-
"loss": 0.2976,
|
| 416 |
-
"step": 265000
|
| 417 |
-
},
|
| 418 |
-
{
|
| 419 |
-
"epoch": 2.13,
|
| 420 |
-
"learning_rate": 1.574669187145558e-05,
|
| 421 |
-
"loss": 0.3039,
|
| 422 |
-
"step": 270000
|
| 423 |
-
},
|
| 424 |
-
{
|
| 425 |
-
"epoch": 2.17,
|
| 426 |
-
"learning_rate": 1.5667926906112164e-05,
|
| 427 |
-
"loss": 0.2889,
|
| 428 |
-
"step": 275000
|
| 429 |
-
},
|
| 430 |
-
{
|
| 431 |
-
"epoch": 2.17,
|
| 432 |
-
"eval_accuracy": 0.9221436381340027,
|
| 433 |
-
"eval_loss": 0.39818692207336426,
|
| 434 |
-
"eval_runtime": 508.9512,
|
| 435 |
-
"eval_samples_per_second": 55.546,
|
| 436 |
-
"eval_steps_per_second": 13.887,
|
| 437 |
-
"step": 275000
|
| 438 |
-
},
|
| 439 |
-
{
|
| 440 |
-
"epoch": 2.21,
|
| 441 |
-
"learning_rate": 1.5589161940768747e-05,
|
| 442 |
-
"loss": 0.3079,
|
| 443 |
-
"step": 280000
|
| 444 |
-
},
|
| 445 |
-
{
|
| 446 |
-
"epoch": 2.24,
|
| 447 |
-
"learning_rate": 1.5510396975425333e-05,
|
| 448 |
-
"loss": 0.3148,
|
| 449 |
-
"step": 285000
|
| 450 |
-
},
|
| 451 |
-
{
|
| 452 |
-
"epoch": 2.28,
|
| 453 |
-
"learning_rate": 1.5431632010081915e-05,
|
| 454 |
-
"loss": 0.2829,
|
| 455 |
-
"step": 290000
|
| 456 |
-
},
|
| 457 |
-
{
|
| 458 |
-
"epoch": 2.32,
|
| 459 |
-
"learning_rate": 1.53528670447385e-05,
|
| 460 |
-
"loss": 0.2978,
|
| 461 |
-
"step": 295000
|
| 462 |
-
},
|
| 463 |
-
{
|
| 464 |
-
"epoch": 2.36,
|
| 465 |
-
"learning_rate": 1.5274102079395087e-05,
|
| 466 |
-
"loss": 0.2963,
|
| 467 |
-
"step": 300000
|
| 468 |
-
},
|
| 469 |
-
{
|
| 470 |
-
"epoch": 2.36,
|
| 471 |
-
"eval_accuracy": 0.922957181930542,
|
| 472 |
-
"eval_loss": 0.43214836716651917,
|
| 473 |
-
"eval_runtime": 528.9348,
|
| 474 |
-
"eval_samples_per_second": 53.447,
|
| 475 |
-
"eval_steps_per_second": 13.363,
|
| 476 |
-
"step": 300000
|
| 477 |
-
},
|
| 478 |
-
{
|
| 479 |
-
"epoch": 2.4,
|
| 480 |
-
"learning_rate": 1.5195337114051671e-05,
|
| 481 |
-
"loss": 0.3007,
|
| 482 |
-
"step": 305000
|
| 483 |
-
},
|
| 484 |
-
{
|
| 485 |
-
"epoch": 2.44,
|
| 486 |
-
"learning_rate": 1.5116572148708256e-05,
|
| 487 |
-
"loss": 0.2901,
|
| 488 |
-
"step": 310000
|
| 489 |
-
},
|
| 490 |
-
{
|
| 491 |
-
"epoch": 2.48,
|
| 492 |
-
"learning_rate": 1.5037807183364841e-05,
|
| 493 |
-
"loss": 0.2905,
|
| 494 |
-
"step": 315000
|
| 495 |
-
},
|
| 496 |
-
{
|
| 497 |
-
"epoch": 2.52,
|
| 498 |
-
"learning_rate": 1.4959042218021424e-05,
|
| 499 |
-
"loss": 0.3082,
|
| 500 |
-
"step": 320000
|
| 501 |
-
},
|
| 502 |
-
{
|
| 503 |
-
"epoch": 2.56,
|
| 504 |
-
"learning_rate": 1.488027725267801e-05,
|
| 505 |
-
"loss": 0.2899,
|
| 506 |
-
"step": 325000
|
| 507 |
-
},
|
| 508 |
-
{
|
| 509 |
-
"epoch": 2.56,
|
| 510 |
-
"eval_accuracy": 0.924124538898468,
|
| 511 |
-
"eval_loss": 0.40452826023101807,
|
| 512 |
-
"eval_runtime": 520.2943,
|
| 513 |
-
"eval_samples_per_second": 54.335,
|
| 514 |
-
"eval_steps_per_second": 13.585,
|
| 515 |
-
"step": 325000
|
| 516 |
-
},
|
| 517 |
-
{
|
| 518 |
-
"epoch": 2.6,
|
| 519 |
-
"learning_rate": 1.4801512287334594e-05,
|
| 520 |
-
"loss": 0.301,
|
| 521 |
-
"step": 330000
|
| 522 |
-
},
|
| 523 |
-
{
|
| 524 |
-
"epoch": 2.64,
|
| 525 |
-
"learning_rate": 1.472274732199118e-05,
|
| 526 |
-
"loss": 0.3014,
|
| 527 |
-
"step": 335000
|
| 528 |
-
},
|
| 529 |
-
{
|
| 530 |
-
"epoch": 2.68,
|
| 531 |
-
"learning_rate": 1.4643982356647764e-05,
|
| 532 |
-
"loss": 0.2974,
|
| 533 |
-
"step": 340000
|
| 534 |
-
},
|
| 535 |
-
{
|
| 536 |
-
"epoch": 2.72,
|
| 537 |
-
"learning_rate": 1.456521739130435e-05,
|
| 538 |
-
"loss": 0.3215,
|
| 539 |
-
"step": 345000
|
| 540 |
-
},
|
| 541 |
-
{
|
| 542 |
-
"epoch": 2.76,
|
| 543 |
-
"learning_rate": 1.4486452425960932e-05,
|
| 544 |
-
"loss": 0.2986,
|
| 545 |
-
"step": 350000
|
| 546 |
-
},
|
| 547 |
-
{
|
| 548 |
-
"epoch": 2.76,
|
| 549 |
-
"eval_accuracy": 0.9239122867584229,
|
| 550 |
-
"eval_loss": 0.4114295542240143,
|
| 551 |
-
"eval_runtime": 565.9722,
|
| 552 |
-
"eval_samples_per_second": 49.949,
|
| 553 |
-
"eval_steps_per_second": 12.488,
|
| 554 |
-
"step": 350000
|
| 555 |
-
},
|
| 556 |
-
{
|
| 557 |
-
"epoch": 2.8,
|
| 558 |
-
"learning_rate": 1.4407687460617518e-05,
|
| 559 |
-
"loss": 0.2881,
|
| 560 |
-
"step": 355000
|
| 561 |
-
},
|
| 562 |
-
{
|
| 563 |
-
"epoch": 2.84,
|
| 564 |
-
"learning_rate": 1.4328922495274103e-05,
|
| 565 |
-
"loss": 0.2937,
|
| 566 |
-
"step": 360000
|
| 567 |
-
},
|
| 568 |
-
{
|
| 569 |
-
"epoch": 2.87,
|
| 570 |
-
"learning_rate": 1.4250157529930688e-05,
|
| 571 |
-
"loss": 0.2987,
|
| 572 |
-
"step": 365000
|
| 573 |
-
},
|
| 574 |
-
{
|
| 575 |
-
"epoch": 2.91,
|
| 576 |
-
"learning_rate": 1.4171392564587273e-05,
|
| 577 |
-
"loss": 0.3355,
|
| 578 |
-
"step": 370000
|
| 579 |
-
},
|
| 580 |
-
{
|
| 581 |
-
"epoch": 2.95,
|
| 582 |
-
"learning_rate": 1.4092627599243858e-05,
|
| 583 |
-
"loss": 0.3086,
|
| 584 |
-
"step": 375000
|
| 585 |
-
},
|
| 586 |
-
{
|
| 587 |
-
"epoch": 2.95,
|
| 588 |
-
"eval_accuracy": 0.9162362813949585,
|
| 589 |
-
"eval_loss": 0.4699816107749939,
|
| 590 |
-
"eval_runtime": 523.819,
|
| 591 |
-
"eval_samples_per_second": 53.969,
|
| 592 |
-
"eval_steps_per_second": 13.493,
|
| 593 |
-
"step": 375000
|
| 594 |
-
},
|
| 595 |
-
{
|
| 596 |
-
"epoch": 2.99,
|
| 597 |
-
"learning_rate": 1.4013862633900441e-05,
|
| 598 |
-
"loss": 0.3187,
|
| 599 |
-
"step": 380000
|
| 600 |
-
},
|
| 601 |
-
{
|
| 602 |
-
"epoch": 3.03,
|
| 603 |
-
"learning_rate": 1.3935097668557027e-05,
|
| 604 |
-
"loss": 0.304,
|
| 605 |
-
"step": 385000
|
| 606 |
-
},
|
| 607 |
-
{
|
| 608 |
-
"epoch": 3.07,
|
| 609 |
-
"learning_rate": 1.3856332703213611e-05,
|
| 610 |
-
"loss": 0.2856,
|
| 611 |
-
"step": 390000
|
| 612 |
-
},
|
| 613 |
-
{
|
| 614 |
-
"epoch": 3.11,
|
| 615 |
-
"learning_rate": 1.3777567737870197e-05,
|
| 616 |
-
"loss": 0.2877,
|
| 617 |
-
"step": 395000
|
| 618 |
-
},
|
| 619 |
-
{
|
| 620 |
-
"epoch": 3.15,
|
| 621 |
-
"learning_rate": 1.369880277252678e-05,
|
| 622 |
-
"loss": 0.2896,
|
| 623 |
-
"step": 400000
|
| 624 |
-
},
|
| 625 |
-
{
|
| 626 |
-
"epoch": 3.15,
|
| 627 |
-
"eval_accuracy": 0.9198089838027954,
|
| 628 |
-
"eval_loss": 0.43677982687950134,
|
| 629 |
-
"eval_runtime": 526.7389,
|
| 630 |
-
"eval_samples_per_second": 53.67,
|
| 631 |
-
"eval_steps_per_second": 13.418,
|
| 632 |
-
"step": 400000
|
| 633 |
-
},
|
| 634 |
-
{
|
| 635 |
-
"epoch": 3.19,
|
| 636 |
-
"learning_rate": 1.3620037807183365e-05,
|
| 637 |
-
"loss": 0.2946,
|
| 638 |
-
"step": 405000
|
| 639 |
-
},
|
| 640 |
-
{
|
| 641 |
-
"epoch": 3.23,
|
| 642 |
-
"learning_rate": 1.354127284183995e-05,
|
| 643 |
-
"loss": 0.2899,
|
| 644 |
-
"step": 410000
|
| 645 |
-
},
|
| 646 |
-
{
|
| 647 |
-
"epoch": 3.27,
|
| 648 |
-
"learning_rate": 1.3462507876496535e-05,
|
| 649 |
-
"loss": 0.2907,
|
| 650 |
-
"step": 415000
|
| 651 |
}
|
| 652 |
],
|
| 653 |
"max_steps": 1269600,
|
| 654 |
"num_train_epochs": 10,
|
| 655 |
-
"total_flos":
|
| 656 |
"trial_name": null,
|
| 657 |
"trial_params": null
|
| 658 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.1027095148078134,
|
| 5 |
+
"global_step": 140000,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
"epoch": 0.04,
|
| 12 |
+
"learning_rate": 1.9921235034656587e-06,
|
| 13 |
+
"loss": 0.2621,
|
| 14 |
"step": 5000
|
| 15 |
},
|
| 16 |
{
|
| 17 |
"epoch": 0.08,
|
| 18 |
+
"learning_rate": 1.984247006931317e-06,
|
| 19 |
+
"loss": 0.2548,
|
| 20 |
"step": 10000
|
| 21 |
},
|
| 22 |
{
|
| 23 |
"epoch": 0.12,
|
| 24 |
+
"learning_rate": 1.9763705103969753e-06,
|
| 25 |
+
"loss": 0.2451,
|
| 26 |
"step": 15000
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"epoch": 0.16,
|
| 30 |
+
"learning_rate": 1.9684940138626337e-06,
|
| 31 |
+
"loss": 0.2479,
|
| 32 |
"step": 20000
|
| 33 |
},
|
| 34 |
{
|
| 35 |
"epoch": 0.2,
|
| 36 |
+
"learning_rate": 1.9606175173282924e-06,
|
| 37 |
+
"loss": 0.2477,
|
| 38 |
"step": 25000
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.2,
|
| 42 |
+
"eval_accuracy": 0.9227449297904968,
|
| 43 |
+
"eval_loss": 0.42459121346473694,
|
| 44 |
+
"eval_runtime": 532.8547,
|
| 45 |
+
"eval_samples_per_second": 53.054,
|
| 46 |
+
"eval_steps_per_second": 13.264,
|
| 47 |
"step": 25000
|
| 48 |
},
|
| 49 |
{
|
| 50 |
"epoch": 0.24,
|
| 51 |
+
"learning_rate": 1.9527410207939508e-06,
|
| 52 |
+
"loss": 0.253,
|
| 53 |
"step": 30000
|
| 54 |
},
|
| 55 |
{
|
| 56 |
"epoch": 0.28,
|
| 57 |
+
"learning_rate": 1.9448645242596095e-06,
|
| 58 |
+
"loss": 0.2466,
|
| 59 |
"step": 35000
|
| 60 |
},
|
| 61 |
{
|
| 62 |
"epoch": 0.32,
|
| 63 |
+
"learning_rate": 1.936988027725268e-06,
|
| 64 |
+
"loss": 0.25,
|
| 65 |
"step": 40000
|
| 66 |
},
|
| 67 |
{
|
| 68 |
"epoch": 0.35,
|
| 69 |
+
"learning_rate": 1.929111531190926e-06,
|
| 70 |
+
"loss": 0.2402,
|
| 71 |
"step": 45000
|
| 72 |
},
|
| 73 |
{
|
| 74 |
"epoch": 0.39,
|
| 75 |
+
"learning_rate": 1.9212350346565845e-06,
|
| 76 |
+
"loss": 0.2515,
|
| 77 |
"step": 50000
|
| 78 |
},
|
| 79 |
{
|
| 80 |
"epoch": 0.39,
|
| 81 |
+
"eval_accuracy": 0.926034688949585,
|
| 82 |
+
"eval_loss": 0.3926495909690857,
|
| 83 |
+
"eval_runtime": 506.3742,
|
| 84 |
+
"eval_samples_per_second": 55.828,
|
| 85 |
+
"eval_steps_per_second": 13.958,
|
| 86 |
"step": 50000
|
| 87 |
},
|
| 88 |
{
|
| 89 |
"epoch": 0.43,
|
| 90 |
+
"learning_rate": 1.9133585381222433e-06,
|
| 91 |
+
"loss": 0.2383,
|
| 92 |
"step": 55000
|
| 93 |
},
|
| 94 |
{
|
| 95 |
"epoch": 0.47,
|
| 96 |
+
"learning_rate": 1.9054820415879016e-06,
|
| 97 |
+
"loss": 0.2523,
|
| 98 |
"step": 60000
|
| 99 |
},
|
| 100 |
{
|
| 101 |
"epoch": 0.51,
|
| 102 |
+
"learning_rate": 1.8976055450535602e-06,
|
| 103 |
+
"loss": 0.2372,
|
| 104 |
"step": 65000
|
| 105 |
},
|
| 106 |
{
|
| 107 |
"epoch": 0.55,
|
| 108 |
+
"learning_rate": 1.8897290485192185e-06,
|
| 109 |
+
"loss": 0.2395,
|
| 110 |
"step": 70000
|
| 111 |
},
|
| 112 |
{
|
| 113 |
"epoch": 0.59,
|
| 114 |
+
"learning_rate": 1.881852551984877e-06,
|
| 115 |
+
"loss": 0.2376,
|
| 116 |
"step": 75000
|
| 117 |
},
|
| 118 |
{
|
| 119 |
"epoch": 0.59,
|
| 120 |
+
"eval_accuracy": 0.9263883829116821,
|
| 121 |
+
"eval_loss": 0.3989144265651703,
|
| 122 |
+
"eval_runtime": 505.8843,
|
| 123 |
+
"eval_samples_per_second": 55.882,
|
| 124 |
+
"eval_steps_per_second": 13.972,
|
| 125 |
"step": 75000
|
| 126 |
},
|
| 127 |
{
|
| 128 |
"epoch": 0.63,
|
| 129 |
+
"learning_rate": 1.8739760554505356e-06,
|
| 130 |
+
"loss": 0.2331,
|
| 131 |
"step": 80000
|
| 132 |
},
|
| 133 |
{
|
| 134 |
"epoch": 0.67,
|
| 135 |
+
"learning_rate": 1.8660995589161941e-06,
|
| 136 |
+
"loss": 0.2426,
|
| 137 |
"step": 85000
|
| 138 |
},
|
| 139 |
{
|
| 140 |
"epoch": 0.71,
|
| 141 |
+
"learning_rate": 1.8582230623818525e-06,
|
| 142 |
+
"loss": 0.2493,
|
| 143 |
"step": 90000
|
| 144 |
},
|
| 145 |
{
|
| 146 |
"epoch": 0.75,
|
| 147 |
+
"learning_rate": 1.850346565847511e-06,
|
| 148 |
+
"loss": 0.2379,
|
| 149 |
"step": 95000
|
| 150 |
},
|
| 151 |
{
|
| 152 |
"epoch": 0.79,
|
| 153 |
+
"learning_rate": 1.8424700693131694e-06,
|
| 154 |
+
"loss": 0.2428,
|
| 155 |
"step": 100000
|
| 156 |
},
|
| 157 |
{
|
| 158 |
"epoch": 0.79,
|
| 159 |
+
"eval_accuracy": 0.9267421364784241,
|
| 160 |
+
"eval_loss": 0.3985295295715332,
|
| 161 |
+
"eval_runtime": 549.265,
|
| 162 |
+
"eval_samples_per_second": 51.469,
|
| 163 |
+
"eval_steps_per_second": 12.868,
|
| 164 |
"step": 100000
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"epoch": 0.83,
|
| 168 |
+
"learning_rate": 1.834593572778828e-06,
|
| 169 |
+
"loss": 0.2429,
|
| 170 |
"step": 105000
|
| 171 |
},
|
| 172 |
{
|
| 173 |
"epoch": 0.87,
|
| 174 |
+
"learning_rate": 1.8267170762444864e-06,
|
| 175 |
+
"loss": 0.238,
|
| 176 |
"step": 110000
|
| 177 |
},
|
| 178 |
{
|
| 179 |
"epoch": 0.91,
|
| 180 |
+
"learning_rate": 1.818840579710145e-06,
|
| 181 |
+
"loss": 0.2322,
|
| 182 |
"step": 115000
|
| 183 |
},
|
| 184 |
{
|
| 185 |
"epoch": 0.95,
|
| 186 |
+
"learning_rate": 1.8109640831758033e-06,
|
| 187 |
+
"loss": 0.2371,
|
| 188 |
"step": 120000
|
| 189 |
},
|
| 190 |
{
|
| 191 |
"epoch": 0.98,
|
| 192 |
+
"learning_rate": 1.8030875866414619e-06,
|
| 193 |
+
"loss": 0.2303,
|
| 194 |
"step": 125000
|
| 195 |
},
|
| 196 |
{
|
| 197 |
"epoch": 0.98,
|
| 198 |
+
"eval_accuracy": 0.9282631874084473,
|
| 199 |
+
"eval_loss": 0.40024659037590027,
|
| 200 |
+
"eval_runtime": 548.3799,
|
| 201 |
+
"eval_samples_per_second": 51.552,
|
| 202 |
+
"eval_steps_per_second": 12.889,
|
| 203 |
"step": 125000
|
| 204 |
},
|
| 205 |
{
|
| 206 |
"epoch": 1.02,
|
| 207 |
+
"learning_rate": 1.7952110901071202e-06,
|
| 208 |
+
"loss": 0.221,
|
| 209 |
"step": 130000
|
| 210 |
},
|
| 211 |
{
|
| 212 |
"epoch": 1.06,
|
| 213 |
+
"learning_rate": 1.7873345935727788e-06,
|
| 214 |
+
"loss": 0.2199,
|
| 215 |
"step": 135000
|
| 216 |
},
|
| 217 |
{
|
| 218 |
"epoch": 1.1,
|
| 219 |
+
"learning_rate": 1.779458097038437e-06,
|
| 220 |
+
"loss": 0.2097,
|
| 221 |
"step": 140000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 222 |
}
|
| 223 |
],
|
| 224 |
"max_steps": 1269600,
|
| 225 |
"num_train_epochs": 10,
|
| 226 |
+
"total_flos": 1.473443106221998e+17,
|
| 227 |
"trial_name": null,
|
| 228 |
"trial_params": null
|
| 229 |
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2991
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:03c6251eac46fa18822e93d9f2cc88f4b61044f93b32dd36da4e4f50a6315f9c
|
| 3 |
size 2991
|
youtube_transcript_api2/__init__.py
DELETED
|
@@ -1,16 +0,0 @@
|
|
| 1 |
-
from ._api import YouTubeTranscriptApi
|
| 2 |
-
from ._transcripts import TranscriptList, Transcript
|
| 3 |
-
from ._errors import (
|
| 4 |
-
TranscriptsDisabled,
|
| 5 |
-
NoTranscriptFound,
|
| 6 |
-
CouldNotRetrieveTranscript,
|
| 7 |
-
VideoUnavailable,
|
| 8 |
-
TooManyRequests,
|
| 9 |
-
NotTranslatable,
|
| 10 |
-
TranslationLanguageNotAvailable,
|
| 11 |
-
NoTranscriptAvailable,
|
| 12 |
-
CookiePathInvalid,
|
| 13 |
-
CookiesInvalid,
|
| 14 |
-
FailedToCreateConsentCookie,
|
| 15 |
-
YouTubeRequestFailed,
|
| 16 |
-
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
youtube_transcript_api2/__main__.py
DELETED
|
@@ -1,15 +0,0 @@
|
|
| 1 |
-
import sys
|
| 2 |
-
|
| 3 |
-
import logging
|
| 4 |
-
|
| 5 |
-
from ._cli import YouTubeTranscriptCli
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
def main():
|
| 9 |
-
logging.basicConfig()
|
| 10 |
-
|
| 11 |
-
print(YouTubeTranscriptCli(sys.argv[1:]).run())
|
| 12 |
-
|
| 13 |
-
|
| 14 |
-
if __name__ == '__main__':
|
| 15 |
-
main()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
youtube_transcript_api2/_api.py
DELETED
|
@@ -1,140 +0,0 @@
|
|
| 1 |
-
import requests
|
| 2 |
-
try: # pragma: no cover
|
| 3 |
-
import http.cookiejar as cookiejar
|
| 4 |
-
CookieLoadError = (FileNotFoundError, cookiejar.LoadError)
|
| 5 |
-
except ImportError: # pragma: no cover
|
| 6 |
-
import cookielib as cookiejar
|
| 7 |
-
CookieLoadError = IOError
|
| 8 |
-
|
| 9 |
-
from ._transcripts import TranscriptListFetcher
|
| 10 |
-
|
| 11 |
-
from ._errors import (
|
| 12 |
-
CookiePathInvalid,
|
| 13 |
-
CookiesInvalid
|
| 14 |
-
)
|
| 15 |
-
|
| 16 |
-
|
| 17 |
-
class YouTubeTranscriptApi(object):
|
| 18 |
-
@classmethod
|
| 19 |
-
def list_transcripts(cls, video_id, proxies=None, cookies=None):
|
| 20 |
-
"""
|
| 21 |
-
Retrieves the list of transcripts which are available for a given video. It returns a `TranscriptList` object
|
| 22 |
-
which is iterable and provides methods to filter the list of transcripts for specific languages. While iterating
|
| 23 |
-
over the `TranscriptList` the individual transcripts are represented by `Transcript` objects, which provide
|
| 24 |
-
metadata and can either be fetched by calling `transcript.fetch()` or translated by calling
|
| 25 |
-
`transcript.translate('en')`. Example::
|
| 26 |
-
|
| 27 |
-
# retrieve the available transcripts
|
| 28 |
-
transcript_list = YouTubeTranscriptApi.get('video_id')
|
| 29 |
-
|
| 30 |
-
# iterate over all available transcripts
|
| 31 |
-
for transcript in transcript_list:
|
| 32 |
-
# the Transcript object provides metadata properties
|
| 33 |
-
print(
|
| 34 |
-
transcript.video_id,
|
| 35 |
-
transcript.language,
|
| 36 |
-
transcript.language_code,
|
| 37 |
-
# whether it has been manually created or generated by YouTube
|
| 38 |
-
transcript.is_generated,
|
| 39 |
-
# a list of languages the transcript can be translated to
|
| 40 |
-
transcript.translation_languages,
|
| 41 |
-
)
|
| 42 |
-
|
| 43 |
-
# fetch the actual transcript data
|
| 44 |
-
print(transcript.fetch())
|
| 45 |
-
|
| 46 |
-
# translating the transcript will return another transcript object
|
| 47 |
-
print(transcript.translate('en').fetch())
|
| 48 |
-
|
| 49 |
-
# you can also directly filter for the language you are looking for, using the transcript list
|
| 50 |
-
transcript = transcript_list.find_transcript(['de', 'en'])
|
| 51 |
-
|
| 52 |
-
# or just filter for manually created transcripts
|
| 53 |
-
transcript = transcript_list.find_manually_created_transcript(['de', 'en'])
|
| 54 |
-
|
| 55 |
-
# or automatically generated ones
|
| 56 |
-
transcript = transcript_list.find_generated_transcript(['de', 'en'])
|
| 57 |
-
|
| 58 |
-
:param video_id: the youtube video id
|
| 59 |
-
:type video_id: str
|
| 60 |
-
:param proxies: a dictionary mapping of http and https proxies to be used for the network requests
|
| 61 |
-
:type proxies: {'http': str, 'https': str} - http://docs.python-requests.org/en/master/user/advanced/#proxies
|
| 62 |
-
:param cookies: a string of the path to a text file containing youtube authorization cookies
|
| 63 |
-
:type cookies: str
|
| 64 |
-
:return: the list of available transcripts
|
| 65 |
-
:rtype TranscriptList:
|
| 66 |
-
"""
|
| 67 |
-
with requests.Session() as http_client:
|
| 68 |
-
if cookies:
|
| 69 |
-
http_client.cookies = cls._load_cookies(cookies, video_id)
|
| 70 |
-
http_client.proxies = proxies if proxies else {}
|
| 71 |
-
return TranscriptListFetcher(http_client).fetch(video_id)
|
| 72 |
-
|
| 73 |
-
@classmethod
|
| 74 |
-
def get_transcripts(cls, video_ids, languages=('en',), continue_after_error=False, proxies=None, cookies=None):
|
| 75 |
-
"""
|
| 76 |
-
Retrieves the transcripts for a list of videos.
|
| 77 |
-
|
| 78 |
-
:param video_ids: a list of youtube video ids
|
| 79 |
-
:type video_ids: list[str]
|
| 80 |
-
:param languages: A list of language codes in a descending priority. For example, if this is set to ['de', 'en']
|
| 81 |
-
it will first try to fetch the german transcript (de) and then fetch the english transcript (en) if it fails to
|
| 82 |
-
do so.
|
| 83 |
-
:type languages: list[str]
|
| 84 |
-
:param continue_after_error: if this is set the execution won't be stopped, if an error occurs while retrieving
|
| 85 |
-
one of the video transcripts
|
| 86 |
-
:type continue_after_error: bool
|
| 87 |
-
:param proxies: a dictionary mapping of http and https proxies to be used for the network requests
|
| 88 |
-
:type proxies: {'http': str, 'https': str} - http://docs.python-requests.org/en/master/user/advanced/#proxies
|
| 89 |
-
:param cookies: a string of the path to a text file containing youtube authorization cookies
|
| 90 |
-
:type cookies: str
|
| 91 |
-
:return: a tuple containing a dictionary mapping video ids onto their corresponding transcripts, and a list of
|
| 92 |
-
video ids, which could not be retrieved
|
| 93 |
-
:rtype ({str: [{'text': str, 'start': float, 'end': float}]}, [str]}):
|
| 94 |
-
"""
|
| 95 |
-
data = {}
|
| 96 |
-
unretrievable_videos = []
|
| 97 |
-
|
| 98 |
-
for video_id in video_ids:
|
| 99 |
-
try:
|
| 100 |
-
data[video_id] = cls.get_transcript(video_id, languages, proxies, cookies)
|
| 101 |
-
except Exception as exception:
|
| 102 |
-
if not continue_after_error:
|
| 103 |
-
raise exception
|
| 104 |
-
|
| 105 |
-
unretrievable_videos.append(video_id)
|
| 106 |
-
|
| 107 |
-
return data, unretrievable_videos
|
| 108 |
-
|
| 109 |
-
@classmethod
|
| 110 |
-
def get_transcript(cls, video_id, languages=('en',), proxies=None, cookies=None):
|
| 111 |
-
"""
|
| 112 |
-
Retrieves the transcript for a single video. This is just a shortcut for calling::
|
| 113 |
-
|
| 114 |
-
YouTubeTranscriptApi.list_transcripts(video_id, proxies).find_transcript(languages).fetch()
|
| 115 |
-
|
| 116 |
-
:param video_id: the youtube video id
|
| 117 |
-
:type video_id: str
|
| 118 |
-
:param languages: A list of language codes in a descending priority. For example, if this is set to ['de', 'en']
|
| 119 |
-
it will first try to fetch the german transcript (de) and then fetch the english transcript (en) if it fails to
|
| 120 |
-
do so.
|
| 121 |
-
:type languages: list[str]
|
| 122 |
-
:param proxies: a dictionary mapping of http and https proxies to be used for the network requests
|
| 123 |
-
:type proxies: {'http': str, 'https': str} - http://docs.python-requests.org/en/master/user/advanced/#proxies
|
| 124 |
-
:param cookies: a string of the path to a text file containing youtube authorization cookies
|
| 125 |
-
:type cookies: str
|
| 126 |
-
:return: a list of dictionaries containing the 'text', 'start' and 'duration' keys
|
| 127 |
-
:rtype [{'text': str, 'start': float, 'end': float}]:
|
| 128 |
-
"""
|
| 129 |
-
return cls.list_transcripts(video_id, proxies, cookies).find_transcript(languages).fetch()
|
| 130 |
-
|
| 131 |
-
@classmethod
|
| 132 |
-
def _load_cookies(cls, cookies, video_id):
|
| 133 |
-
try:
|
| 134 |
-
cookie_jar = cookiejar.MozillaCookieJar()
|
| 135 |
-
cookie_jar.load(cookies)
|
| 136 |
-
if not cookie_jar:
|
| 137 |
-
raise CookiesInvalid(video_id)
|
| 138 |
-
return cookie_jar
|
| 139 |
-
except CookieLoadError:
|
| 140 |
-
raise CookiePathInvalid(video_id)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
youtube_transcript_api2/_cli.py
DELETED
|
@@ -1,135 +0,0 @@
|
|
| 1 |
-
import argparse
|
| 2 |
-
|
| 3 |
-
from ._api import YouTubeTranscriptApi
|
| 4 |
-
|
| 5 |
-
from .formatters import FormatterLoader
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
class YouTubeTranscriptCli(object):
|
| 9 |
-
def __init__(self, args):
|
| 10 |
-
self._args = args
|
| 11 |
-
|
| 12 |
-
def run(self):
|
| 13 |
-
parsed_args = self._parse_args()
|
| 14 |
-
|
| 15 |
-
if parsed_args.exclude_manually_created and parsed_args.exclude_generated:
|
| 16 |
-
return ''
|
| 17 |
-
|
| 18 |
-
proxies = None
|
| 19 |
-
if parsed_args.http_proxy != '' or parsed_args.https_proxy != '':
|
| 20 |
-
proxies = {"http": parsed_args.http_proxy, "https": parsed_args.https_proxy}
|
| 21 |
-
|
| 22 |
-
cookies = parsed_args.cookies
|
| 23 |
-
|
| 24 |
-
transcripts = []
|
| 25 |
-
exceptions = []
|
| 26 |
-
|
| 27 |
-
for video_id in parsed_args.video_ids:
|
| 28 |
-
try:
|
| 29 |
-
transcripts.append(self._fetch_transcript(parsed_args, proxies, cookies, video_id))
|
| 30 |
-
except Exception as exception:
|
| 31 |
-
exceptions.append(exception)
|
| 32 |
-
|
| 33 |
-
return '\n\n'.join(
|
| 34 |
-
[str(exception) for exception in exceptions]
|
| 35 |
-
+ ([FormatterLoader().load(parsed_args.format).format_transcripts(transcripts)] if transcripts else [])
|
| 36 |
-
)
|
| 37 |
-
|
| 38 |
-
def _fetch_transcript(self, parsed_args, proxies, cookies, video_id):
|
| 39 |
-
transcript_list = YouTubeTranscriptApi.list_transcripts(video_id, proxies=proxies, cookies=cookies)
|
| 40 |
-
|
| 41 |
-
if parsed_args.list_transcripts:
|
| 42 |
-
return str(transcript_list)
|
| 43 |
-
|
| 44 |
-
if parsed_args.exclude_manually_created:
|
| 45 |
-
transcript = transcript_list.find_generated_transcript(parsed_args.languages)
|
| 46 |
-
elif parsed_args.exclude_generated:
|
| 47 |
-
transcript = transcript_list.find_manually_created_transcript(parsed_args.languages)
|
| 48 |
-
else:
|
| 49 |
-
transcript = transcript_list.find_transcript(parsed_args.languages)
|
| 50 |
-
|
| 51 |
-
if parsed_args.translate:
|
| 52 |
-
transcript = transcript.translate(parsed_args.translate)
|
| 53 |
-
|
| 54 |
-
return transcript.fetch()
|
| 55 |
-
|
| 56 |
-
def _parse_args(self):
|
| 57 |
-
parser = argparse.ArgumentParser(
|
| 58 |
-
description=(
|
| 59 |
-
'This is an python API which allows you to get the transcripts/subtitles for a given YouTube video. '
|
| 60 |
-
'It also works for automatically generated subtitles and it does not require a headless browser, like '
|
| 61 |
-
'other selenium based solutions do!'
|
| 62 |
-
)
|
| 63 |
-
)
|
| 64 |
-
parser.add_argument(
|
| 65 |
-
'--list-transcripts',
|
| 66 |
-
action='store_const',
|
| 67 |
-
const=True,
|
| 68 |
-
default=False,
|
| 69 |
-
help='This will list the languages in which the given videos are available in.',
|
| 70 |
-
)
|
| 71 |
-
parser.add_argument('video_ids', nargs='+', type=str, help='List of YouTube video IDs.')
|
| 72 |
-
parser.add_argument(
|
| 73 |
-
'--languages',
|
| 74 |
-
nargs='*',
|
| 75 |
-
default=['en',],
|
| 76 |
-
type=str,
|
| 77 |
-
help=(
|
| 78 |
-
'A list of language codes in a descending priority. For example, if this is set to "de en" it will '
|
| 79 |
-
'first try to fetch the german transcript (de) and then fetch the english transcript (en) if it fails '
|
| 80 |
-
'to do so. As I can\'t provide a complete list of all working language codes with full certainty, you '
|
| 81 |
-
'may have to play around with the language codes a bit, to find the one which is working for you!'
|
| 82 |
-
),
|
| 83 |
-
)
|
| 84 |
-
parser.add_argument(
|
| 85 |
-
'--exclude-generated',
|
| 86 |
-
action='store_const',
|
| 87 |
-
const=True,
|
| 88 |
-
default=False,
|
| 89 |
-
help='If this flag is set transcripts which have been generated by YouTube will not be retrieved.',
|
| 90 |
-
)
|
| 91 |
-
parser.add_argument(
|
| 92 |
-
'--exclude-manually-created',
|
| 93 |
-
action='store_const',
|
| 94 |
-
const=True,
|
| 95 |
-
default=False,
|
| 96 |
-
help='If this flag is set transcripts which have been manually created will not be retrieved.',
|
| 97 |
-
)
|
| 98 |
-
parser.add_argument(
|
| 99 |
-
'--format',
|
| 100 |
-
type=str,
|
| 101 |
-
default='pretty',
|
| 102 |
-
choices=tuple(FormatterLoader.TYPES.keys()),
|
| 103 |
-
)
|
| 104 |
-
parser.add_argument(
|
| 105 |
-
'--translate',
|
| 106 |
-
default='',
|
| 107 |
-
help=(
|
| 108 |
-
'The language code for the language you want this transcript to be translated to. Use the '
|
| 109 |
-
'--list-transcripts feature to find out which languages are translatable and which translation '
|
| 110 |
-
'languages are available.'
|
| 111 |
-
)
|
| 112 |
-
)
|
| 113 |
-
parser.add_argument(
|
| 114 |
-
'--http-proxy',
|
| 115 |
-
default='',
|
| 116 |
-
metavar='URL',
|
| 117 |
-
help='Use the specified HTTP proxy.'
|
| 118 |
-
)
|
| 119 |
-
parser.add_argument(
|
| 120 |
-
'--https-proxy',
|
| 121 |
-
default='',
|
| 122 |
-
metavar='URL',
|
| 123 |
-
help='Use the specified HTTPS proxy.'
|
| 124 |
-
)
|
| 125 |
-
parser.add_argument(
|
| 126 |
-
'--cookies',
|
| 127 |
-
default=None,
|
| 128 |
-
help='The cookie file that will be used for authorization with youtube.'
|
| 129 |
-
)
|
| 130 |
-
|
| 131 |
-
return self._sanitize_video_ids(parser.parse_args(self._args))
|
| 132 |
-
|
| 133 |
-
def _sanitize_video_ids(self, args):
|
| 134 |
-
args.video_ids = [video_id.replace('\\', '') for video_id in args.video_ids]
|
| 135 |
-
return args
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
youtube_transcript_api2/_errors.py
DELETED
|
@@ -1,112 +0,0 @@
|
|
| 1 |
-
from ._settings import WATCH_URL
|
| 2 |
-
|
| 3 |
-
|
| 4 |
-
class CouldNotRetrieveTranscript(Exception):
|
| 5 |
-
"""
|
| 6 |
-
Raised if a transcript could not be retrieved.
|
| 7 |
-
"""
|
| 8 |
-
ERROR_MESSAGE = '\nCould not retrieve a transcript for the video {video_url}!'
|
| 9 |
-
CAUSE_MESSAGE_INTRO = ' This is most likely caused by:\n\n{cause}'
|
| 10 |
-
CAUSE_MESSAGE = ''
|
| 11 |
-
GITHUB_REFERRAL = (
|
| 12 |
-
'\n\nIf you are sure that the described cause is not responsible for this error '
|
| 13 |
-
'and that a transcript should be retrievable, please create an issue at '
|
| 14 |
-
'https://github.com/jdepoix/youtube-transcript-api/issues. '
|
| 15 |
-
'Please add which version of youtube_transcript_api you are using '
|
| 16 |
-
'and provide the information needed to replicate the error. '
|
| 17 |
-
'Also make sure that there are no open issues which already describe your problem!'
|
| 18 |
-
)
|
| 19 |
-
|
| 20 |
-
def __init__(self, video_id):
|
| 21 |
-
self.video_id = video_id
|
| 22 |
-
super(CouldNotRetrieveTranscript, self).__init__(self._build_error_message())
|
| 23 |
-
|
| 24 |
-
def _build_error_message(self):
|
| 25 |
-
cause = self.cause
|
| 26 |
-
error_message = self.ERROR_MESSAGE.format(video_url=WATCH_URL.format(video_id=self.video_id))
|
| 27 |
-
|
| 28 |
-
if cause:
|
| 29 |
-
error_message += self.CAUSE_MESSAGE_INTRO.format(cause=cause) + self.GITHUB_REFERRAL
|
| 30 |
-
|
| 31 |
-
return error_message
|
| 32 |
-
|
| 33 |
-
@property
|
| 34 |
-
def cause(self):
|
| 35 |
-
return self.CAUSE_MESSAGE
|
| 36 |
-
|
| 37 |
-
|
| 38 |
-
class YouTubeRequestFailed(CouldNotRetrieveTranscript):
|
| 39 |
-
CAUSE_MESSAGE = 'Request to YouTube failed: {reason}'
|
| 40 |
-
|
| 41 |
-
def __init__(self, video_id, http_error):
|
| 42 |
-
self.reason = str(http_error)
|
| 43 |
-
super(YouTubeRequestFailed, self).__init__(video_id)
|
| 44 |
-
|
| 45 |
-
@property
|
| 46 |
-
def cause(self):
|
| 47 |
-
return self.CAUSE_MESSAGE.format(
|
| 48 |
-
reason=self.reason,
|
| 49 |
-
)
|
| 50 |
-
|
| 51 |
-
|
| 52 |
-
class VideoUnavailable(CouldNotRetrieveTranscript):
|
| 53 |
-
CAUSE_MESSAGE = 'The video is no longer available'
|
| 54 |
-
|
| 55 |
-
|
| 56 |
-
class TooManyRequests(CouldNotRetrieveTranscript):
|
| 57 |
-
CAUSE_MESSAGE = (
|
| 58 |
-
'YouTube is receiving too many requests from this IP and now requires solving a captcha to continue. '
|
| 59 |
-
'One of the following things can be done to work around this:\n\
|
| 60 |
-
- Manually solve the captcha in a browser and export the cookie. '
|
| 61 |
-
'Read here how to use that cookie with '
|
| 62 |
-
'youtube-transcript-api: https://github.com/jdepoix/youtube-transcript-api#cookies\n\
|
| 63 |
-
- Use a different IP address\n\
|
| 64 |
-
- Wait until the ban on your IP has been lifted'
|
| 65 |
-
)
|
| 66 |
-
|
| 67 |
-
|
| 68 |
-
class TranscriptsDisabled(CouldNotRetrieveTranscript):
|
| 69 |
-
CAUSE_MESSAGE = 'Subtitles are disabled for this video'
|
| 70 |
-
|
| 71 |
-
|
| 72 |
-
class NoTranscriptAvailable(CouldNotRetrieveTranscript):
|
| 73 |
-
CAUSE_MESSAGE = 'No transcripts are available for this video'
|
| 74 |
-
|
| 75 |
-
|
| 76 |
-
class NotTranslatable(CouldNotRetrieveTranscript):
|
| 77 |
-
CAUSE_MESSAGE = 'The requested language is not translatable'
|
| 78 |
-
|
| 79 |
-
|
| 80 |
-
class TranslationLanguageNotAvailable(CouldNotRetrieveTranscript):
|
| 81 |
-
CAUSE_MESSAGE = 'The requested translation language is not available'
|
| 82 |
-
|
| 83 |
-
|
| 84 |
-
class CookiePathInvalid(CouldNotRetrieveTranscript):
|
| 85 |
-
CAUSE_MESSAGE = 'The provided cookie file was unable to be loaded'
|
| 86 |
-
|
| 87 |
-
|
| 88 |
-
class CookiesInvalid(CouldNotRetrieveTranscript):
|
| 89 |
-
CAUSE_MESSAGE = 'The cookies provided are not valid (may have expired)'
|
| 90 |
-
|
| 91 |
-
|
| 92 |
-
class FailedToCreateConsentCookie(CouldNotRetrieveTranscript):
|
| 93 |
-
CAUSE_MESSAGE = 'Failed to automatically give consent to saving cookies'
|
| 94 |
-
|
| 95 |
-
|
| 96 |
-
class NoTranscriptFound(CouldNotRetrieveTranscript):
|
| 97 |
-
CAUSE_MESSAGE = (
|
| 98 |
-
'No transcripts were found for any of the requested language codes: {requested_language_codes}\n\n'
|
| 99 |
-
'{transcript_data}'
|
| 100 |
-
)
|
| 101 |
-
|
| 102 |
-
def __init__(self, video_id, requested_language_codes, transcript_data):
|
| 103 |
-
self._requested_language_codes = requested_language_codes
|
| 104 |
-
self._transcript_data = transcript_data
|
| 105 |
-
super(NoTranscriptFound, self).__init__(video_id)
|
| 106 |
-
|
| 107 |
-
@property
|
| 108 |
-
def cause(self):
|
| 109 |
-
return self.CAUSE_MESSAGE.format(
|
| 110 |
-
requested_language_codes=self._requested_language_codes,
|
| 111 |
-
transcript_data=str(self._transcript_data),
|
| 112 |
-
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
youtube_transcript_api2/_html_unescaping.py
DELETED
|
@@ -1,21 +0,0 @@
|
|
| 1 |
-
import sys
|
| 2 |
-
|
| 3 |
-
|
| 4 |
-
# This can only be tested by using different python versions, therefore it is not covered by coverage.py
|
| 5 |
-
if sys.version_info.major == 3 and sys.version_info.minor >= 4: # pragma: no cover
|
| 6 |
-
# Python 3.4+
|
| 7 |
-
from html import unescape
|
| 8 |
-
else: # pragma: no cover
|
| 9 |
-
if sys.version_info.major <= 2:
|
| 10 |
-
# Python 2
|
| 11 |
-
import HTMLParser
|
| 12 |
-
|
| 13 |
-
html_parser = HTMLParser.HTMLParser()
|
| 14 |
-
else:
|
| 15 |
-
# Python 3.0 - 3.3
|
| 16 |
-
import html.parser
|
| 17 |
-
|
| 18 |
-
html_parser = html.parser.HTMLParser()
|
| 19 |
-
|
| 20 |
-
def unescape(string):
|
| 21 |
-
return html_parser.unescape(string)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
youtube_transcript_api2/_settings.py
DELETED
|
@@ -1 +0,0 @@
|
|
| 1 |
-
WATCH_URL = 'https://www.youtube.com/watch?v={video_id}'
|
|
|
|
|
|
youtube_transcript_api2/_transcripts.py
DELETED
|
@@ -1,332 +0,0 @@
|
|
| 1 |
-
import sys
|
| 2 |
-
|
| 3 |
-
# This can only be tested by using different python versions, therefore it is not covered by coverage.py
|
| 4 |
-
if sys.version_info.major == 2: # pragma: no cover
|
| 5 |
-
reload(sys)
|
| 6 |
-
sys.setdefaultencoding('utf-8')
|
| 7 |
-
|
| 8 |
-
import json
|
| 9 |
-
|
| 10 |
-
from xml.etree import ElementTree
|
| 11 |
-
|
| 12 |
-
import re
|
| 13 |
-
|
| 14 |
-
from requests import HTTPError
|
| 15 |
-
|
| 16 |
-
from ._html_unescaping import unescape
|
| 17 |
-
from ._errors import (
|
| 18 |
-
VideoUnavailable,
|
| 19 |
-
TooManyRequests,
|
| 20 |
-
YouTubeRequestFailed,
|
| 21 |
-
NoTranscriptFound,
|
| 22 |
-
TranscriptsDisabled,
|
| 23 |
-
NotTranslatable,
|
| 24 |
-
TranslationLanguageNotAvailable,
|
| 25 |
-
NoTranscriptAvailable,
|
| 26 |
-
FailedToCreateConsentCookie,
|
| 27 |
-
)
|
| 28 |
-
from ._settings import WATCH_URL
|
| 29 |
-
|
| 30 |
-
|
| 31 |
-
def _raise_http_errors(response, video_id):
|
| 32 |
-
try:
|
| 33 |
-
response.raise_for_status()
|
| 34 |
-
return response
|
| 35 |
-
except HTTPError as error:
|
| 36 |
-
raise YouTubeRequestFailed(error, video_id)
|
| 37 |
-
|
| 38 |
-
|
| 39 |
-
class TranscriptListFetcher(object):
|
| 40 |
-
def __init__(self, http_client):
|
| 41 |
-
self._http_client = http_client
|
| 42 |
-
|
| 43 |
-
def fetch(self, video_id):
|
| 44 |
-
return TranscriptList.build(
|
| 45 |
-
self._http_client,
|
| 46 |
-
video_id,
|
| 47 |
-
self._extract_captions_json(self._fetch_video_html(video_id), video_id)
|
| 48 |
-
)
|
| 49 |
-
|
| 50 |
-
def _extract_captions_json(self, html, video_id):
|
| 51 |
-
splitted_html = html.split('"captions":')
|
| 52 |
-
|
| 53 |
-
if len(splitted_html) <= 1:
|
| 54 |
-
if 'class="g-recaptcha"' in html:
|
| 55 |
-
raise TooManyRequests(video_id)
|
| 56 |
-
if '"playabilityStatus":' not in html:
|
| 57 |
-
raise VideoUnavailable(video_id)
|
| 58 |
-
|
| 59 |
-
raise TranscriptsDisabled(video_id)
|
| 60 |
-
|
| 61 |
-
captions_json = json.loads(
|
| 62 |
-
splitted_html[1].split(',"videoDetails')[0].replace('\n', '')
|
| 63 |
-
).get('playerCaptionsTracklistRenderer')
|
| 64 |
-
if captions_json is None:
|
| 65 |
-
raise TranscriptsDisabled(video_id)
|
| 66 |
-
|
| 67 |
-
if 'captionTracks' not in captions_json:
|
| 68 |
-
raise NoTranscriptAvailable(video_id)
|
| 69 |
-
|
| 70 |
-
return captions_json
|
| 71 |
-
|
| 72 |
-
def _create_consent_cookie(self, html, video_id):
|
| 73 |
-
match = re.search('name="v" value="(.*?)"', html)
|
| 74 |
-
if match is None:
|
| 75 |
-
raise FailedToCreateConsentCookie(video_id)
|
| 76 |
-
self._http_client.cookies.set('CONSENT', 'YES+' + match.group(1), domain='.youtube.com')
|
| 77 |
-
|
| 78 |
-
def _fetch_video_html(self, video_id):
|
| 79 |
-
html = self._fetch_html(video_id)
|
| 80 |
-
if 'action="https://consent.youtube.com/s"' in html:
|
| 81 |
-
self._create_consent_cookie(html, video_id)
|
| 82 |
-
html = self._fetch_html(video_id)
|
| 83 |
-
if 'action="https://consent.youtube.com/s"' in html:
|
| 84 |
-
raise FailedToCreateConsentCookie(video_id)
|
| 85 |
-
return html
|
| 86 |
-
|
| 87 |
-
def _fetch_html(self, video_id):
|
| 88 |
-
response = self._http_client.get(WATCH_URL.format(video_id=video_id))
|
| 89 |
-
return unescape(_raise_http_errors(response, video_id).text)
|
| 90 |
-
|
| 91 |
-
|
| 92 |
-
class TranscriptList(object):
|
| 93 |
-
"""
|
| 94 |
-
This object represents a list of transcripts. It can be iterated over to list all transcripts which are available
|
| 95 |
-
for a given YouTube video. Also it provides functionality to search for a transcript in a given language.
|
| 96 |
-
"""
|
| 97 |
-
def __init__(self, video_id, manually_created_transcripts, generated_transcripts, translation_languages):
|
| 98 |
-
"""
|
| 99 |
-
The constructor is only for internal use. Use the static build method instead.
|
| 100 |
-
|
| 101 |
-
:param video_id: the id of the video this TranscriptList is for
|
| 102 |
-
:type video_id: str
|
| 103 |
-
:param manually_created_transcripts: dict mapping language codes to the manually created transcripts
|
| 104 |
-
:type manually_created_transcripts: dict[str, Transcript]
|
| 105 |
-
:param generated_transcripts: dict mapping language codes to the generated transcripts
|
| 106 |
-
:type generated_transcripts: dict[str, Transcript]
|
| 107 |
-
:param translation_languages: list of languages which can be used for translatable languages
|
| 108 |
-
:type translation_languages: list[dict[str, str]]
|
| 109 |
-
"""
|
| 110 |
-
self.video_id = video_id
|
| 111 |
-
self._manually_created_transcripts = manually_created_transcripts
|
| 112 |
-
self._generated_transcripts = generated_transcripts
|
| 113 |
-
self._translation_languages = translation_languages
|
| 114 |
-
|
| 115 |
-
@staticmethod
|
| 116 |
-
def build(http_client, video_id, captions_json):
|
| 117 |
-
"""
|
| 118 |
-
Factory method for TranscriptList.
|
| 119 |
-
|
| 120 |
-
:param http_client: http client which is used to make the transcript retrieving http calls
|
| 121 |
-
:type http_client: requests.Session
|
| 122 |
-
:param video_id: the id of the video this TranscriptList is for
|
| 123 |
-
:type video_id: str
|
| 124 |
-
:param captions_json: the JSON parsed from the YouTube pages static HTML
|
| 125 |
-
:type captions_json: dict
|
| 126 |
-
:return: the created TranscriptList
|
| 127 |
-
:rtype TranscriptList:
|
| 128 |
-
"""
|
| 129 |
-
translation_languages = [
|
| 130 |
-
{
|
| 131 |
-
'language': translation_language['languageName']['simpleText'],
|
| 132 |
-
'language_code': translation_language['languageCode'],
|
| 133 |
-
} for translation_language in captions_json['translationLanguages']
|
| 134 |
-
]
|
| 135 |
-
|
| 136 |
-
manually_created_transcripts = {}
|
| 137 |
-
generated_transcripts = {}
|
| 138 |
-
|
| 139 |
-
for caption in captions_json['captionTracks']:
|
| 140 |
-
if caption.get('kind', '') == 'asr':
|
| 141 |
-
transcript_dict = generated_transcripts
|
| 142 |
-
else:
|
| 143 |
-
transcript_dict = manually_created_transcripts
|
| 144 |
-
|
| 145 |
-
transcript_dict[caption['languageCode']] = Transcript(
|
| 146 |
-
http_client,
|
| 147 |
-
video_id,
|
| 148 |
-
caption['baseUrl'],
|
| 149 |
-
caption['name']['simpleText'],
|
| 150 |
-
caption['languageCode'],
|
| 151 |
-
caption.get('kind', '') == 'asr',
|
| 152 |
-
translation_languages if caption.get('isTranslatable', False) else []
|
| 153 |
-
)
|
| 154 |
-
|
| 155 |
-
return TranscriptList(
|
| 156 |
-
video_id,
|
| 157 |
-
manually_created_transcripts,
|
| 158 |
-
generated_transcripts,
|
| 159 |
-
translation_languages,
|
| 160 |
-
)
|
| 161 |
-
|
| 162 |
-
def __iter__(self):
|
| 163 |
-
return iter(list(self._manually_created_transcripts.values()) + list(self._generated_transcripts.values()))
|
| 164 |
-
|
| 165 |
-
def find_transcript(self, language_codes):
|
| 166 |
-
"""
|
| 167 |
-
Finds a transcript for a given language code. Manually created transcripts are returned first and only if none
|
| 168 |
-
are found, generated transcripts are used. If you only want generated transcripts use
|
| 169 |
-
`find_manually_created_transcript` instead.
|
| 170 |
-
|
| 171 |
-
:param language_codes: A list of language codes in a descending priority. For example, if this is set to
|
| 172 |
-
['de', 'en'] it will first try to fetch the german transcript (de) and then fetch the english transcript (en) if
|
| 173 |
-
it fails to do so.
|
| 174 |
-
:type languages: list[str]
|
| 175 |
-
:return: the found Transcript
|
| 176 |
-
:rtype Transcript:
|
| 177 |
-
:raises: NoTranscriptFound
|
| 178 |
-
"""
|
| 179 |
-
return self._find_transcript(language_codes, [self._manually_created_transcripts, self._generated_transcripts])
|
| 180 |
-
|
| 181 |
-
def find_generated_transcript(self, language_codes):
|
| 182 |
-
"""
|
| 183 |
-
Finds a automatically generated transcript for a given language code.
|
| 184 |
-
|
| 185 |
-
:param language_codes: A list of language codes in a descending priority. For example, if this is set to
|
| 186 |
-
['de', 'en'] it will first try to fetch the german transcript (de) and then fetch the english transcript (en) if
|
| 187 |
-
it fails to do so.
|
| 188 |
-
:type languages: list[str]
|
| 189 |
-
:return: the found Transcript
|
| 190 |
-
:rtype Transcript:
|
| 191 |
-
:raises: NoTranscriptFound
|
| 192 |
-
"""
|
| 193 |
-
return self._find_transcript(language_codes, [self._generated_transcripts,])
|
| 194 |
-
|
| 195 |
-
def find_manually_created_transcript(self, language_codes):
|
| 196 |
-
"""
|
| 197 |
-
Finds a manually created transcript for a given language code.
|
| 198 |
-
|
| 199 |
-
:param language_codes: A list of language codes in a descending priority. For example, if this is set to
|
| 200 |
-
['de', 'en'] it will first try to fetch the german transcript (de) and then fetch the english transcript (en) if
|
| 201 |
-
it fails to do so.
|
| 202 |
-
:type languages: list[str]
|
| 203 |
-
:return: the found Transcript
|
| 204 |
-
:rtype Transcript:
|
| 205 |
-
:raises: NoTranscriptFound
|
| 206 |
-
"""
|
| 207 |
-
return self._find_transcript(language_codes, [self._manually_created_transcripts,])
|
| 208 |
-
|
| 209 |
-
def _find_transcript(self, language_codes, transcript_dicts):
|
| 210 |
-
for language_code in language_codes:
|
| 211 |
-
for transcript_dict in transcript_dicts:
|
| 212 |
-
if language_code in transcript_dict:
|
| 213 |
-
return transcript_dict[language_code]
|
| 214 |
-
|
| 215 |
-
raise NoTranscriptFound(
|
| 216 |
-
self.video_id,
|
| 217 |
-
language_codes,
|
| 218 |
-
self
|
| 219 |
-
)
|
| 220 |
-
|
| 221 |
-
def __str__(self):
|
| 222 |
-
return (
|
| 223 |
-
'For this video ({video_id}) transcripts are available in the following languages:\n\n'
|
| 224 |
-
'(MANUALLY CREATED)\n'
|
| 225 |
-
'{available_manually_created_transcript_languages}\n\n'
|
| 226 |
-
'(GENERATED)\n'
|
| 227 |
-
'{available_generated_transcripts}\n\n'
|
| 228 |
-
'(TRANSLATION LANGUAGES)\n'
|
| 229 |
-
'{available_translation_languages}'
|
| 230 |
-
).format(
|
| 231 |
-
video_id=self.video_id,
|
| 232 |
-
available_manually_created_transcript_languages=self._get_language_description(
|
| 233 |
-
str(transcript) for transcript in self._manually_created_transcripts.values()
|
| 234 |
-
),
|
| 235 |
-
available_generated_transcripts=self._get_language_description(
|
| 236 |
-
str(transcript) for transcript in self._generated_transcripts.values()
|
| 237 |
-
),
|
| 238 |
-
available_translation_languages=self._get_language_description(
|
| 239 |
-
'{language_code} ("{language}")'.format(
|
| 240 |
-
language=translation_language['language'],
|
| 241 |
-
language_code=translation_language['language_code'],
|
| 242 |
-
) for translation_language in self._translation_languages
|
| 243 |
-
)
|
| 244 |
-
)
|
| 245 |
-
|
| 246 |
-
def _get_language_description(self, transcript_strings):
|
| 247 |
-
description = '\n'.join(' - {transcript}'.format(transcript=transcript) for transcript in transcript_strings)
|
| 248 |
-
return description if description else 'None'
|
| 249 |
-
|
| 250 |
-
|
| 251 |
-
class Transcript(object):
|
| 252 |
-
def __init__(self, http_client, video_id, url, language, language_code, is_generated, translation_languages):
|
| 253 |
-
"""
|
| 254 |
-
You probably don't want to initialize this directly. Usually you'll access Transcript objects using a
|
| 255 |
-
TranscriptList.
|
| 256 |
-
|
| 257 |
-
:param http_client: http client which is used to make the transcript retrieving http calls
|
| 258 |
-
:type http_client: requests.Session
|
| 259 |
-
:param video_id: the id of the video this TranscriptList is for
|
| 260 |
-
:type video_id: str
|
| 261 |
-
:param url: the url which needs to be called to fetch the transcript
|
| 262 |
-
:param language: the name of the language this transcript uses
|
| 263 |
-
:param language_code:
|
| 264 |
-
:param is_generated:
|
| 265 |
-
:param translation_languages:
|
| 266 |
-
"""
|
| 267 |
-
self._http_client = http_client
|
| 268 |
-
self.video_id = video_id
|
| 269 |
-
self._url = url
|
| 270 |
-
self.language = language
|
| 271 |
-
self.language_code = language_code
|
| 272 |
-
self.is_generated = is_generated
|
| 273 |
-
self.translation_languages = translation_languages
|
| 274 |
-
self._translation_languages_dict = {
|
| 275 |
-
translation_language['language_code']: translation_language['language']
|
| 276 |
-
for translation_language in translation_languages
|
| 277 |
-
}
|
| 278 |
-
|
| 279 |
-
def fetch(self):
|
| 280 |
-
"""
|
| 281 |
-
Loads the actual transcript data.
|
| 282 |
-
|
| 283 |
-
:return: a list of dictionaries containing the 'text', 'start' and 'duration' keys
|
| 284 |
-
:rtype [{'text': str, 'start': float, 'end': float}]:
|
| 285 |
-
"""
|
| 286 |
-
response = self._http_client.get(self._url)
|
| 287 |
-
return _TranscriptParser().parse(
|
| 288 |
-
_raise_http_errors(response, self.video_id).text,
|
| 289 |
-
)
|
| 290 |
-
|
| 291 |
-
def __str__(self):
|
| 292 |
-
return '{language_code} ("{language}"){translation_description}'.format(
|
| 293 |
-
language=self.language,
|
| 294 |
-
language_code=self.language_code,
|
| 295 |
-
translation_description='[TRANSLATABLE]' if self.is_translatable else ''
|
| 296 |
-
)
|
| 297 |
-
|
| 298 |
-
@property
|
| 299 |
-
def is_translatable(self):
|
| 300 |
-
return len(self.translation_languages) > 0
|
| 301 |
-
|
| 302 |
-
def translate(self, language_code):
|
| 303 |
-
if not self.is_translatable:
|
| 304 |
-
raise NotTranslatable(self.video_id)
|
| 305 |
-
|
| 306 |
-
if language_code not in self._translation_languages_dict:
|
| 307 |
-
raise TranslationLanguageNotAvailable(self.video_id)
|
| 308 |
-
|
| 309 |
-
return Transcript(
|
| 310 |
-
self._http_client,
|
| 311 |
-
self.video_id,
|
| 312 |
-
'{url}&tlang={language_code}'.format(url=self._url, language_code=language_code),
|
| 313 |
-
self._translation_languages_dict[language_code],
|
| 314 |
-
language_code,
|
| 315 |
-
True,
|
| 316 |
-
[],
|
| 317 |
-
)
|
| 318 |
-
|
| 319 |
-
|
| 320 |
-
class _TranscriptParser(object):
|
| 321 |
-
HTML_TAG_REGEX = re.compile(r'<[^>]*>', re.IGNORECASE)
|
| 322 |
-
|
| 323 |
-
def parse(self, plain_data):
|
| 324 |
-
return [
|
| 325 |
-
{
|
| 326 |
-
'text': re.sub(self.HTML_TAG_REGEX, '', unescape(xml_element.text)),
|
| 327 |
-
'start': float(xml_element.attrib['start']),
|
| 328 |
-
'duration': float(xml_element.attrib.get('dur', '0.0')),
|
| 329 |
-
}
|
| 330 |
-
for xml_element in ElementTree.fromstring(plain_data)
|
| 331 |
-
if xml_element.text is not None
|
| 332 |
-
]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
youtube_transcript_api2/formatters.py
DELETED
|
@@ -1,165 +0,0 @@
|
|
| 1 |
-
import json
|
| 2 |
-
|
| 3 |
-
import pprint
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
class Formatter(object):
|
| 7 |
-
"""Formatter should be used as an abstract base class.
|
| 8 |
-
|
| 9 |
-
Formatter classes should inherit from this class and implement
|
| 10 |
-
their own .format() method which should return a string. A
|
| 11 |
-
transcript is represented by a List of Dictionary items.
|
| 12 |
-
"""
|
| 13 |
-
|
| 14 |
-
def format_transcript(self, transcript, **kwargs):
|
| 15 |
-
raise NotImplementedError('A subclass of Formatter must implement ' \
|
| 16 |
-
'their own .format_transcript() method.')
|
| 17 |
-
|
| 18 |
-
def format_transcripts(self, transcripts, **kwargs):
|
| 19 |
-
raise NotImplementedError('A subclass of Formatter must implement ' \
|
| 20 |
-
'their own .format_transcripts() method.')
|
| 21 |
-
|
| 22 |
-
|
| 23 |
-
class PrettyPrintFormatter(Formatter):
|
| 24 |
-
def format_transcript(self, transcript, **kwargs):
|
| 25 |
-
"""Pretty prints a transcript.
|
| 26 |
-
|
| 27 |
-
:param transcript:
|
| 28 |
-
:return: A pretty printed string representation of the transcript.'
|
| 29 |
-
:rtype str
|
| 30 |
-
"""
|
| 31 |
-
return pprint.pformat(transcript, **kwargs)
|
| 32 |
-
|
| 33 |
-
def format_transcripts(self, transcripts, **kwargs):
|
| 34 |
-
"""Pretty prints a list of transcripts.
|
| 35 |
-
|
| 36 |
-
:param transcripts:
|
| 37 |
-
:return: A pretty printed string representation of the transcripts.'
|
| 38 |
-
:rtype str
|
| 39 |
-
"""
|
| 40 |
-
return self.format_transcript(transcripts, **kwargs)
|
| 41 |
-
|
| 42 |
-
|
| 43 |
-
class JSONFormatter(Formatter):
|
| 44 |
-
def format_transcript(self, transcript, **kwargs):
|
| 45 |
-
"""Converts a transcript into a JSON string.
|
| 46 |
-
|
| 47 |
-
:param transcript:
|
| 48 |
-
:return: A JSON string representation of the transcript.'
|
| 49 |
-
:rtype str
|
| 50 |
-
"""
|
| 51 |
-
return json.dumps(transcript, **kwargs)
|
| 52 |
-
|
| 53 |
-
def format_transcripts(self, transcripts, **kwargs):
|
| 54 |
-
"""Converts a list of transcripts into a JSON string.
|
| 55 |
-
|
| 56 |
-
:param transcripts:
|
| 57 |
-
:return: A JSON string representation of the transcript.'
|
| 58 |
-
:rtype str
|
| 59 |
-
"""
|
| 60 |
-
return self.format_transcript(transcripts, **kwargs)
|
| 61 |
-
|
| 62 |
-
|
| 63 |
-
class TextFormatter(Formatter):
|
| 64 |
-
def format_transcript(self, transcript, **kwargs):
|
| 65 |
-
"""Converts a transcript into plain text with no timestamps.
|
| 66 |
-
|
| 67 |
-
:param transcript:
|
| 68 |
-
:return: all transcript text lines separated by newline breaks.'
|
| 69 |
-
:rtype str
|
| 70 |
-
"""
|
| 71 |
-
return '\n'.join(line['text'] for line in transcript)
|
| 72 |
-
|
| 73 |
-
def format_transcripts(self, transcripts, **kwargs):
|
| 74 |
-
"""Converts a list of transcripts into plain text with no timestamps.
|
| 75 |
-
|
| 76 |
-
:param transcripts:
|
| 77 |
-
:return: all transcript text lines separated by newline breaks.'
|
| 78 |
-
:rtype str
|
| 79 |
-
"""
|
| 80 |
-
return '\n\n\n'.join([self.format_transcript(transcript, **kwargs) for transcript in transcripts])
|
| 81 |
-
|
| 82 |
-
|
| 83 |
-
class WebVTTFormatter(Formatter):
|
| 84 |
-
def _seconds_to_timestamp(self, time):
|
| 85 |
-
"""Helper that converts `time` into a transcript cue timestamp.
|
| 86 |
-
|
| 87 |
-
:reference: https://www.w3.org/TR/webvtt1/#webvtt-timestamp
|
| 88 |
-
|
| 89 |
-
:param time: a float representing time in seconds.
|
| 90 |
-
:type time: float
|
| 91 |
-
:return: a string formatted as a cue timestamp, 'HH:MM:SS.MS'
|
| 92 |
-
:rtype str
|
| 93 |
-
:example:
|
| 94 |
-
>>> self._seconds_to_timestamp(6.93)
|
| 95 |
-
'00:00:06.930'
|
| 96 |
-
"""
|
| 97 |
-
time = float(time)
|
| 98 |
-
hours, remainder = divmod(time, 3600)
|
| 99 |
-
mins, secs = divmod(remainder, 60)
|
| 100 |
-
ms = int(round((time - int(time))*1000, 2))
|
| 101 |
-
return "{:02.0f}:{:02.0f}:{:02.0f}.{:03d}".format(hours, mins, secs, ms)
|
| 102 |
-
|
| 103 |
-
def format_transcript(self, transcript, **kwargs):
|
| 104 |
-
"""A basic implementation of WEBVTT formatting.
|
| 105 |
-
|
| 106 |
-
:param transcript:
|
| 107 |
-
:reference: https://www.w3.org/TR/webvtt1/#introduction-caption
|
| 108 |
-
"""
|
| 109 |
-
lines = []
|
| 110 |
-
for i, line in enumerate(transcript):
|
| 111 |
-
if i < len(transcript) - 1:
|
| 112 |
-
# Looks ahead, use next start time since duration value
|
| 113 |
-
# would create an overlap between start times.
|
| 114 |
-
time_text = "{} --> {}".format(
|
| 115 |
-
self._seconds_to_timestamp(line['start']),
|
| 116 |
-
self._seconds_to_timestamp(transcript[i + 1]['start'])
|
| 117 |
-
)
|
| 118 |
-
else:
|
| 119 |
-
# Reached the end, cannot look ahead, use duration now.
|
| 120 |
-
duration = line['start'] + line['duration']
|
| 121 |
-
time_text = "{} --> {}".format(
|
| 122 |
-
self._seconds_to_timestamp(line['start']),
|
| 123 |
-
self._seconds_to_timestamp(duration)
|
| 124 |
-
)
|
| 125 |
-
lines.append("{}\n{}".format(time_text, line['text']))
|
| 126 |
-
|
| 127 |
-
return "WEBVTT\n\n" + "\n\n".join(lines) + "\n"
|
| 128 |
-
|
| 129 |
-
def format_transcripts(self, transcripts, **kwargs):
|
| 130 |
-
"""A basic implementation of WEBVTT formatting for a list of transcripts.
|
| 131 |
-
|
| 132 |
-
:param transcripts:
|
| 133 |
-
:reference: https://www.w3.org/TR/webvtt1/#introduction-caption
|
| 134 |
-
"""
|
| 135 |
-
return '\n\n\n'.join([self.format_transcript(transcript, **kwargs) for transcript in transcripts])
|
| 136 |
-
|
| 137 |
-
|
| 138 |
-
class FormatterLoader(object):
|
| 139 |
-
TYPES = {
|
| 140 |
-
'json': JSONFormatter,
|
| 141 |
-
'pretty': PrettyPrintFormatter,
|
| 142 |
-
'text': TextFormatter,
|
| 143 |
-
'webvtt': WebVTTFormatter,
|
| 144 |
-
}
|
| 145 |
-
|
| 146 |
-
class UnknownFormatterType(Exception):
|
| 147 |
-
def __init__(self, formatter_type):
|
| 148 |
-
super(FormatterLoader.UnknownFormatterType, self).__init__(
|
| 149 |
-
'The format \'{formatter_type}\' is not supported. '
|
| 150 |
-
'Choose one of the following formats: {supported_formatter_types}'.format(
|
| 151 |
-
formatter_type=formatter_type,
|
| 152 |
-
supported_formatter_types=', '.join(FormatterLoader.TYPES.keys()),
|
| 153 |
-
)
|
| 154 |
-
)
|
| 155 |
-
|
| 156 |
-
def load(self, formatter_type='pretty'):
|
| 157 |
-
"""
|
| 158 |
-
Loads the Formatter for the given formatter type.
|
| 159 |
-
|
| 160 |
-
:param formatter_type:
|
| 161 |
-
:return: Formatter object
|
| 162 |
-
"""
|
| 163 |
-
if formatter_type not in FormatterLoader.TYPES.keys():
|
| 164 |
-
raise FormatterLoader.UnknownFormatterType(formatter_type)
|
| 165 |
-
return FormatterLoader.TYPES[formatter_type]()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|