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40
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valid
|
niftilist_mask_to_array
|
From the list of absolute paths to nifti files, creates a Numpy array
with the masked data.
Parameters
----------
img_filelist: list of str
List of absolute file paths to nifti files. All nifti files must have
the same shape.
mask_file: str
Path to a Nifti mask file.
Should be the same shape as the files in nii_filelist.
outdtype: dtype
Type of the elements of the array, if not set will obtain the dtype from
the first nifti file.
Returns
-------
outmat:
Numpy array with shape N x prod(vol.shape) containing the N files as flat vectors.
mask_indices:
Tuple with the 3D spatial indices of the masking voxels, for reshaping
with vol_shape and remapping.
vol_shape:
Tuple with shape of the volumes, for reshaping.
|
boyle/nifti/mask.py
|
def niftilist_mask_to_array(img_filelist, mask_file=None, outdtype=None):
"""From the list of absolute paths to nifti files, creates a Numpy array
with the masked data.
Parameters
----------
img_filelist: list of str
List of absolute file paths to nifti files. All nifti files must have
the same shape.
mask_file: str
Path to a Nifti mask file.
Should be the same shape as the files in nii_filelist.
outdtype: dtype
Type of the elements of the array, if not set will obtain the dtype from
the first nifti file.
Returns
-------
outmat:
Numpy array with shape N x prod(vol.shape) containing the N files as flat vectors.
mask_indices:
Tuple with the 3D spatial indices of the masking voxels, for reshaping
with vol_shape and remapping.
vol_shape:
Tuple with shape of the volumes, for reshaping.
"""
img = check_img(img_filelist[0])
if not outdtype:
outdtype = img.dtype
mask_data, _ = load_mask_data(mask_file)
indices = np.where (mask_data)
mask = check_img(mask_file)
outmat = np.zeros((len(img_filelist), np.count_nonzero(mask_data)),
dtype=outdtype)
for i, img_item in enumerate(img_filelist):
img = check_img(img_item)
if not are_compatible_imgs(img, mask):
raise NiftiFilesNotCompatible(repr_imgs(img), repr_imgs(mask_file))
vol = get_img_data(img)
outmat[i, :] = vol[indices]
return outmat, mask_data
|
def niftilist_mask_to_array(img_filelist, mask_file=None, outdtype=None):
"""From the list of absolute paths to nifti files, creates a Numpy array
with the masked data.
Parameters
----------
img_filelist: list of str
List of absolute file paths to nifti files. All nifti files must have
the same shape.
mask_file: str
Path to a Nifti mask file.
Should be the same shape as the files in nii_filelist.
outdtype: dtype
Type of the elements of the array, if not set will obtain the dtype from
the first nifti file.
Returns
-------
outmat:
Numpy array with shape N x prod(vol.shape) containing the N files as flat vectors.
mask_indices:
Tuple with the 3D spatial indices of the masking voxels, for reshaping
with vol_shape and remapping.
vol_shape:
Tuple with shape of the volumes, for reshaping.
"""
img = check_img(img_filelist[0])
if not outdtype:
outdtype = img.dtype
mask_data, _ = load_mask_data(mask_file)
indices = np.where (mask_data)
mask = check_img(mask_file)
outmat = np.zeros((len(img_filelist), np.count_nonzero(mask_data)),
dtype=outdtype)
for i, img_item in enumerate(img_filelist):
img = check_img(img_item)
if not are_compatible_imgs(img, mask):
raise NiftiFilesNotCompatible(repr_imgs(img), repr_imgs(mask_file))
vol = get_img_data(img)
outmat[i, :] = vol[indices]
return outmat, mask_data
|
[
"From",
"the",
"list",
"of",
"absolute",
"paths",
"to",
"nifti",
"files",
"creates",
"a",
"Numpy",
"array",
"with",
"the",
"masked",
"data",
"."
] |
Neurita/boyle
|
python
|
https://github.com/Neurita/boyle/blob/2dae7199849395a209c887d5f30506e1de8a9ad9/boyle/nifti/mask.py#L353-L404
|
[
"def",
"niftilist_mask_to_array",
"(",
"img_filelist",
",",
"mask_file",
"=",
"None",
",",
"outdtype",
"=",
"None",
")",
":",
"img",
"=",
"check_img",
"(",
"img_filelist",
"[",
"0",
"]",
")",
"if",
"not",
"outdtype",
":",
"outdtype",
"=",
"img",
".",
"dtype",
"mask_data",
",",
"_",
"=",
"load_mask_data",
"(",
"mask_file",
")",
"indices",
"=",
"np",
".",
"where",
"(",
"mask_data",
")",
"mask",
"=",
"check_img",
"(",
"mask_file",
")",
"outmat",
"=",
"np",
".",
"zeros",
"(",
"(",
"len",
"(",
"img_filelist",
")",
",",
"np",
".",
"count_nonzero",
"(",
"mask_data",
")",
")",
",",
"dtype",
"=",
"outdtype",
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"for",
"i",
",",
"img_item",
"in",
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"(",
"img_filelist",
")",
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"img",
"=",
"check_img",
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"img_item",
")",
"if",
"not",
"are_compatible_imgs",
"(",
"img",
",",
"mask",
")",
":",
"raise",
"NiftiFilesNotCompatible",
"(",
"repr_imgs",
"(",
"img",
")",
",",
"repr_imgs",
"(",
"mask_file",
")",
")",
"vol",
"=",
"get_img_data",
"(",
"img",
")",
"outmat",
"[",
"i",
",",
":",
"]",
"=",
"vol",
"[",
"indices",
"]",
"return",
"outmat",
",",
"mask_data"
] |
2dae7199849395a209c887d5f30506e1de8a9ad9
|
valid
|
create
|
Create a client for Service Fabric APIs.
|
rcctl/rcctl/apiclient.py
|
def create(_):
"""Create a client for Service Fabric APIs."""
endpoint = client_endpoint()
if not endpoint:
raise CLIError("Connection endpoint not found. "
"Before running sfctl commands, connect to a cluster using "
"the 'sfctl cluster select' command.")
no_verify = no_verify_setting()
if security_type() == 'aad':
auth = AdalAuthentication(no_verify)
else:
cert = cert_info()
ca_cert = ca_cert_info()
auth = ClientCertAuthentication(cert, ca_cert, no_verify)
return ServiceFabricClientAPIs(auth, base_url=endpoint)
|
def create(_):
"""Create a client for Service Fabric APIs."""
endpoint = client_endpoint()
if not endpoint:
raise CLIError("Connection endpoint not found. "
"Before running sfctl commands, connect to a cluster using "
"the 'sfctl cluster select' command.")
no_verify = no_verify_setting()
if security_type() == 'aad':
auth = AdalAuthentication(no_verify)
else:
cert = cert_info()
ca_cert = ca_cert_info()
auth = ClientCertAuthentication(cert, ca_cert, no_verify)
return ServiceFabricClientAPIs(auth, base_url=endpoint)
|
[
"Create",
"a",
"client",
"for",
"Service",
"Fabric",
"APIs",
"."
] |
shalabhms/reliable-collections-cli
|
python
|
https://github.com/shalabhms/reliable-collections-cli/blob/195d69816fb5a6e1e9ab0ab66b606b1248b4780d/rcctl/rcctl/apiclient.py#L16-L35
|
[
"def",
"create",
"(",
"_",
")",
":",
"endpoint",
"=",
"client_endpoint",
"(",
")",
"if",
"not",
"endpoint",
":",
"raise",
"CLIError",
"(",
"\"Connection endpoint not found. \"",
"\"Before running sfctl commands, connect to a cluster using \"",
"\"the 'sfctl cluster select' command.\"",
")",
"no_verify",
"=",
"no_verify_setting",
"(",
")",
"if",
"security_type",
"(",
")",
"==",
"'aad'",
":",
"auth",
"=",
"AdalAuthentication",
"(",
"no_verify",
")",
"else",
":",
"cert",
"=",
"cert_info",
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")",
"ca_cert",
"=",
"ca_cert_info",
"(",
")",
"auth",
"=",
"ClientCertAuthentication",
"(",
"cert",
",",
"ca_cert",
",",
"no_verify",
")",
"return",
"ServiceFabricClientAPIs",
"(",
"auth",
",",
"base_url",
"=",
"endpoint",
")"
] |
195d69816fb5a6e1e9ab0ab66b606b1248b4780d
|
valid
|
DataFrame.aggregate
|
Aggregate the rows of the DataFrame into a single value.
:param clazz: name of a class that extends class Callable
:type clazz: class
:param new_col: name of the new column
:type new_col: str
:param args: list of column names of the object that function
should be applied to
:type args: tuple
:return: returns a new dataframe object with the aggregated value
:rtype: DataFrame
|
dataframe/dataframe.py
|
def aggregate(self, clazz, new_col, *args):
"""
Aggregate the rows of the DataFrame into a single value.
:param clazz: name of a class that extends class Callable
:type clazz: class
:param new_col: name of the new column
:type new_col: str
:param args: list of column names of the object that function
should be applied to
:type args: tuple
:return: returns a new dataframe object with the aggregated value
:rtype: DataFrame
"""
if is_callable(clazz) and not is_none(new_col) and has_elements(*args):
return self.__do_aggregate(clazz, new_col, *args)
|
def aggregate(self, clazz, new_col, *args):
"""
Aggregate the rows of the DataFrame into a single value.
:param clazz: name of a class that extends class Callable
:type clazz: class
:param new_col: name of the new column
:type new_col: str
:param args: list of column names of the object that function
should be applied to
:type args: tuple
:return: returns a new dataframe object with the aggregated value
:rtype: DataFrame
"""
if is_callable(clazz) and not is_none(new_col) and has_elements(*args):
return self.__do_aggregate(clazz, new_col, *args)
|
[
"Aggregate",
"the",
"rows",
"of",
"the",
"DataFrame",
"into",
"a",
"single",
"value",
"."
] |
dirmeier/dataframe
|
python
|
https://github.com/dirmeier/dataframe/blob/39992e23293393cc1320d1b9c1c8d2c325fc5626/dataframe/dataframe.py#L103-L118
|
[
"def",
"aggregate",
"(",
"self",
",",
"clazz",
",",
"new_col",
",",
"*",
"args",
")",
":",
"if",
"is_callable",
"(",
"clazz",
")",
"and",
"not",
"is_none",
"(",
"new_col",
")",
"and",
"has_elements",
"(",
"*",
"args",
")",
":",
"return",
"self",
".",
"__do_aggregate",
"(",
"clazz",
",",
"new_col",
",",
"*",
"args",
")"
] |
39992e23293393cc1320d1b9c1c8d2c325fc5626
|
valid
|
DataFrame.subset
|
Subset only some of the columns of the DataFrame.
:param args: list of column names of the object that should be subsetted
:type args: tuple
:return: returns dataframe with only the columns you selected
:rtype: DataFrame
|
dataframe/dataframe.py
|
def subset(self, *args):
"""
Subset only some of the columns of the DataFrame.
:param args: list of column names of the object that should be subsetted
:type args: tuple
:return: returns dataframe with only the columns you selected
:rtype: DataFrame
"""
cols = {}
for k in self.colnames:
if k in args:
cols[str(k)] = \
self.__data_columns[self.colnames.index(k)].values
return DataFrame(**cols)
|
def subset(self, *args):
"""
Subset only some of the columns of the DataFrame.
:param args: list of column names of the object that should be subsetted
:type args: tuple
:return: returns dataframe with only the columns you selected
:rtype: DataFrame
"""
cols = {}
for k in self.colnames:
if k in args:
cols[str(k)] = \
self.__data_columns[self.colnames.index(k)].values
return DataFrame(**cols)
|
[
"Subset",
"only",
"some",
"of",
"the",
"columns",
"of",
"the",
"DataFrame",
"."
] |
dirmeier/dataframe
|
python
|
https://github.com/dirmeier/dataframe/blob/39992e23293393cc1320d1b9c1c8d2c325fc5626/dataframe/dataframe.py#L132-L146
|
[
"def",
"subset",
"(",
"self",
",",
"*",
"args",
")",
":",
"cols",
"=",
"{",
"}",
"for",
"k",
"in",
"self",
".",
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":",
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"in",
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"cols",
"[",
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"[",
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".",
"colnames",
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"index",
"(",
"k",
")",
"]",
".",
"values",
"return",
"DataFrame",
"(",
"*",
"*",
"cols",
")"
] |
39992e23293393cc1320d1b9c1c8d2c325fc5626
|
valid
|
DataFrame.modify
|
Modify some columns (i.e. apply a function) and add the
result to the table.
:param clazz: name of a class that extends class Callable
:type clazz: class
:param new_col: name of the new column
:type new_col: str
:param args: list of column names of the object that
function should be applied to
:type args: tuple
:return: returns a new dataframe object with the modiefied values,
i.e. the new column
:rtype: DataFrame
|
dataframe/dataframe.py
|
def modify(self, clazz, new_col, *args):
"""
Modify some columns (i.e. apply a function) and add the
result to the table.
:param clazz: name of a class that extends class Callable
:type clazz: class
:param new_col: name of the new column
:type new_col: str
:param args: list of column names of the object that
function should be applied to
:type args: tuple
:return: returns a new dataframe object with the modiefied values,
i.e. the new column
:rtype: DataFrame
"""
if is_callable(clazz) and not is_none(new_col) and has_elements(*args):
return self.__do_modify(clazz, new_col, *args)
|
def modify(self, clazz, new_col, *args):
"""
Modify some columns (i.e. apply a function) and add the
result to the table.
:param clazz: name of a class that extends class Callable
:type clazz: class
:param new_col: name of the new column
:type new_col: str
:param args: list of column names of the object that
function should be applied to
:type args: tuple
:return: returns a new dataframe object with the modiefied values,
i.e. the new column
:rtype: DataFrame
"""
if is_callable(clazz) and not is_none(new_col) and has_elements(*args):
return self.__do_modify(clazz, new_col, *args)
|
[
"Modify",
"some",
"columns",
"(",
"i",
".",
"e",
".",
"apply",
"a",
"function",
")",
"and",
"add",
"the",
"result",
"to",
"the",
"table",
"."
] |
dirmeier/dataframe
|
python
|
https://github.com/dirmeier/dataframe/blob/39992e23293393cc1320d1b9c1c8d2c325fc5626/dataframe/dataframe.py#L159-L176
|
[
"def",
"modify",
"(",
"self",
",",
"clazz",
",",
"new_col",
",",
"*",
"args",
")",
":",
"if",
"is_callable",
"(",
"clazz",
")",
"and",
"not",
"is_none",
"(",
"new_col",
")",
"and",
"has_elements",
"(",
"*",
"args",
")",
":",
"return",
"self",
".",
"__do_modify",
"(",
"clazz",
",",
"new_col",
",",
"*",
"args",
")"
] |
39992e23293393cc1320d1b9c1c8d2c325fc5626
|
valid
|
group
|
Pipeable grouping method.
Takes either
- a dataframe and a tuple of strings for grouping,
- a tuple of strings if a dataframe has already been piped into.
:Example:
group(dataframe, "column")
:Example:
dataframe >> group("column")
:param args: tuple of arguments
:type args: tuple
:return: returns a grouped dataframe object
:rtype: GroupedDataFrame
|
dataframe/pipeable_functions.py
|
def group(*args):
"""
Pipeable grouping method.
Takes either
- a dataframe and a tuple of strings for grouping,
- a tuple of strings if a dataframe has already been piped into.
:Example:
group(dataframe, "column")
:Example:
dataframe >> group("column")
:param args: tuple of arguments
:type args: tuple
:return: returns a grouped dataframe object
:rtype: GroupedDataFrame
"""
if args and isinstance(args[0], dataframe.DataFrame):
return args[0].group(*args[1:])
elif not args:
raise ValueError("No arguments provided")
else:
return pipeable.Pipeable(pipeable.PipingMethod.GROUP, *args)
|
def group(*args):
"""
Pipeable grouping method.
Takes either
- a dataframe and a tuple of strings for grouping,
- a tuple of strings if a dataframe has already been piped into.
:Example:
group(dataframe, "column")
:Example:
dataframe >> group("column")
:param args: tuple of arguments
:type args: tuple
:return: returns a grouped dataframe object
:rtype: GroupedDataFrame
"""
if args and isinstance(args[0], dataframe.DataFrame):
return args[0].group(*args[1:])
elif not args:
raise ValueError("No arguments provided")
else:
return pipeable.Pipeable(pipeable.PipingMethod.GROUP, *args)
|
[
"Pipeable",
"grouping",
"method",
"."
] |
dirmeier/dataframe
|
python
|
https://github.com/dirmeier/dataframe/blob/39992e23293393cc1320d1b9c1c8d2c325fc5626/dataframe/pipeable_functions.py#L29-L56
|
[
"def",
"group",
"(",
"*",
"args",
")",
":",
"if",
"args",
"and",
"isinstance",
"(",
"args",
"[",
"0",
"]",
",",
"dataframe",
".",
"DataFrame",
")",
":",
"return",
"args",
"[",
"0",
"]",
".",
"group",
"(",
"*",
"args",
"[",
"1",
":",
"]",
")",
"elif",
"not",
"args",
":",
"raise",
"ValueError",
"(",
"\"No arguments provided\"",
")",
"else",
":",
"return",
"pipeable",
".",
"Pipeable",
"(",
"pipeable",
".",
"PipingMethod",
".",
"GROUP",
",",
"*",
"args",
")"
] |
39992e23293393cc1320d1b9c1c8d2c325fc5626
|
valid
|
aggregate
|
Pipeable aggregation method.
Takes either
- a dataframe and a tuple of arguments required for aggregation,
- a tuple of arguments if a dataframe has already been piped into.
In any case one argument has to be a class that extends callable.
:Example:
aggregate(dataframe, Function, "new_col_name", "old_col_name")
:Example:
dataframe >> aggregate(Function, "new_col_name", "old_col_name")
:param args: tuple of arguments
:type args: tuple
:return: returns a dataframe object
:rtype: DataFrame
|
dataframe/pipeable_functions.py
|
def aggregate(*args):
"""
Pipeable aggregation method.
Takes either
- a dataframe and a tuple of arguments required for aggregation,
- a tuple of arguments if a dataframe has already been piped into.
In any case one argument has to be a class that extends callable.
:Example:
aggregate(dataframe, Function, "new_col_name", "old_col_name")
:Example:
dataframe >> aggregate(Function, "new_col_name", "old_col_name")
:param args: tuple of arguments
:type args: tuple
:return: returns a dataframe object
:rtype: DataFrame
"""
if args and isinstance(args[0], dataframe.DataFrame):
return args[0].aggregate(args[1], args[2], *args[3:])
elif not args:
raise ValueError("No arguments provided")
else:
return pipeable.Pipeable(pipeable.PipingMethod.AGGREGATE, *args)
|
def aggregate(*args):
"""
Pipeable aggregation method.
Takes either
- a dataframe and a tuple of arguments required for aggregation,
- a tuple of arguments if a dataframe has already been piped into.
In any case one argument has to be a class that extends callable.
:Example:
aggregate(dataframe, Function, "new_col_name", "old_col_name")
:Example:
dataframe >> aggregate(Function, "new_col_name", "old_col_name")
:param args: tuple of arguments
:type args: tuple
:return: returns a dataframe object
:rtype: DataFrame
"""
if args and isinstance(args[0], dataframe.DataFrame):
return args[0].aggregate(args[1], args[2], *args[3:])
elif not args:
raise ValueError("No arguments provided")
else:
return pipeable.Pipeable(pipeable.PipingMethod.AGGREGATE, *args)
|
[
"Pipeable",
"aggregation",
"method",
".",
"Takes",
"either",
"-",
"a",
"dataframe",
"and",
"a",
"tuple",
"of",
"arguments",
"required",
"for",
"aggregation",
"-",
"a",
"tuple",
"of",
"arguments",
"if",
"a",
"dataframe",
"has",
"already",
"been",
"piped",
"into",
".",
"In",
"any",
"case",
"one",
"argument",
"has",
"to",
"be",
"a",
"class",
"that",
"extends",
"callable",
"."
] |
dirmeier/dataframe
|
python
|
https://github.com/dirmeier/dataframe/blob/39992e23293393cc1320d1b9c1c8d2c325fc5626/dataframe/pipeable_functions.py#L59-L87
|
[
"def",
"aggregate",
"(",
"*",
"args",
")",
":",
"if",
"args",
"and",
"isinstance",
"(",
"args",
"[",
"0",
"]",
",",
"dataframe",
".",
"DataFrame",
")",
":",
"return",
"args",
"[",
"0",
"]",
".",
"aggregate",
"(",
"args",
"[",
"1",
"]",
",",
"args",
"[",
"2",
"]",
",",
"*",
"args",
"[",
"3",
":",
"]",
")",
"elif",
"not",
"args",
":",
"raise",
"ValueError",
"(",
"\"No arguments provided\"",
")",
"else",
":",
"return",
"pipeable",
".",
"Pipeable",
"(",
"pipeable",
".",
"PipingMethod",
".",
"AGGREGATE",
",",
"*",
"args",
")"
] |
39992e23293393cc1320d1b9c1c8d2c325fc5626
|
valid
|
subset
|
Pipeable subsetting method.
Takes either
- a dataframe and a tuple of arguments required for subsetting,
- a tuple of arguments if a dataframe has already been piped into.
:Example:
subset(dataframe, "column")
:Example:
dataframe >> subset("column")
:param args: tuple of arguments
:type args: tuple
:return: returns a dataframe object
:rtype: DataFrame
|
dataframe/pipeable_functions.py
|
def subset(*args):
"""
Pipeable subsetting method.
Takes either
- a dataframe and a tuple of arguments required for subsetting,
- a tuple of arguments if a dataframe has already been piped into.
:Example:
subset(dataframe, "column")
:Example:
dataframe >> subset("column")
:param args: tuple of arguments
:type args: tuple
:return: returns a dataframe object
:rtype: DataFrame
"""
if args and isinstance(args[0], dataframe.DataFrame):
return args[0].subset(*args[1:])
elif not args:
raise ValueError("No arguments provided")
else:
return pipeable.Pipeable(pipeable.PipingMethod.SUBSET, *args)
|
def subset(*args):
"""
Pipeable subsetting method.
Takes either
- a dataframe and a tuple of arguments required for subsetting,
- a tuple of arguments if a dataframe has already been piped into.
:Example:
subset(dataframe, "column")
:Example:
dataframe >> subset("column")
:param args: tuple of arguments
:type args: tuple
:return: returns a dataframe object
:rtype: DataFrame
"""
if args and isinstance(args[0], dataframe.DataFrame):
return args[0].subset(*args[1:])
elif not args:
raise ValueError("No arguments provided")
else:
return pipeable.Pipeable(pipeable.PipingMethod.SUBSET, *args)
|
[
"Pipeable",
"subsetting",
"method",
"."
] |
dirmeier/dataframe
|
python
|
https://github.com/dirmeier/dataframe/blob/39992e23293393cc1320d1b9c1c8d2c325fc5626/dataframe/pipeable_functions.py#L90-L117
|
[
"def",
"subset",
"(",
"*",
"args",
")",
":",
"if",
"args",
"and",
"isinstance",
"(",
"args",
"[",
"0",
"]",
",",
"dataframe",
".",
"DataFrame",
")",
":",
"return",
"args",
"[",
"0",
"]",
".",
"subset",
"(",
"*",
"args",
"[",
"1",
":",
"]",
")",
"elif",
"not",
"args",
":",
"raise",
"ValueError",
"(",
"\"No arguments provided\"",
")",
"else",
":",
"return",
"pipeable",
".",
"Pipeable",
"(",
"pipeable",
".",
"PipingMethod",
".",
"SUBSET",
",",
"*",
"args",
")"
] |
39992e23293393cc1320d1b9c1c8d2c325fc5626
|
valid
|
modify
|
Pipeable modification method
Takes either
- a dataframe and a tuple of arguments required for modification,
- a tuple of arguments if a dataframe has already been piped into.
In any case one argument has to be a class that extends callable.
:Example:
modify(dataframe, Function, "new_col_name", "old_col_name")
:Example:
dataframe >> modify(Function, "new_col_name", "old_col_name")
:param args: tuple of arguments
:type args: tuple
:return: returns a dataframe object
:rtype: DataFrame
|
dataframe/pipeable_functions.py
|
def modify(*args):
"""
Pipeable modification method
Takes either
- a dataframe and a tuple of arguments required for modification,
- a tuple of arguments if a dataframe has already been piped into.
In any case one argument has to be a class that extends callable.
:Example:
modify(dataframe, Function, "new_col_name", "old_col_name")
:Example:
dataframe >> modify(Function, "new_col_name", "old_col_name")
:param args: tuple of arguments
:type args: tuple
:return: returns a dataframe object
:rtype: DataFrame
"""
if args and isinstance(args[0], dataframe.DataFrame):
return args[0].modify(args[1], args[2], *args[3:])
elif not args:
raise ValueError("No arguments provided")
else:
return pipeable.Pipeable(pipeable.PipingMethod.MODIFY, *args)
|
def modify(*args):
"""
Pipeable modification method
Takes either
- a dataframe and a tuple of arguments required for modification,
- a tuple of arguments if a dataframe has already been piped into.
In any case one argument has to be a class that extends callable.
:Example:
modify(dataframe, Function, "new_col_name", "old_col_name")
:Example:
dataframe >> modify(Function, "new_col_name", "old_col_name")
:param args: tuple of arguments
:type args: tuple
:return: returns a dataframe object
:rtype: DataFrame
"""
if args and isinstance(args[0], dataframe.DataFrame):
return args[0].modify(args[1], args[2], *args[3:])
elif not args:
raise ValueError("No arguments provided")
else:
return pipeable.Pipeable(pipeable.PipingMethod.MODIFY, *args)
|
[
"Pipeable",
"modification",
"method",
"Takes",
"either",
"-",
"a",
"dataframe",
"and",
"a",
"tuple",
"of",
"arguments",
"required",
"for",
"modification",
"-",
"a",
"tuple",
"of",
"arguments",
"if",
"a",
"dataframe",
"has",
"already",
"been",
"piped",
"into",
".",
"In",
"any",
"case",
"one",
"argument",
"has",
"to",
"be",
"a",
"class",
"that",
"extends",
"callable",
"."
] |
dirmeier/dataframe
|
python
|
https://github.com/dirmeier/dataframe/blob/39992e23293393cc1320d1b9c1c8d2c325fc5626/dataframe/pipeable_functions.py#L120-L148
|
[
"def",
"modify",
"(",
"*",
"args",
")",
":",
"if",
"args",
"and",
"isinstance",
"(",
"args",
"[",
"0",
"]",
",",
"dataframe",
".",
"DataFrame",
")",
":",
"return",
"args",
"[",
"0",
"]",
".",
"modify",
"(",
"args",
"[",
"1",
"]",
",",
"args",
"[",
"2",
"]",
",",
"*",
"args",
"[",
"3",
":",
"]",
")",
"elif",
"not",
"args",
":",
"raise",
"ValueError",
"(",
"\"No arguments provided\"",
")",
"else",
":",
"return",
"pipeable",
".",
"Pipeable",
"(",
"pipeable",
".",
"PipingMethod",
".",
"MODIFY",
",",
"*",
"args",
")"
] |
39992e23293393cc1320d1b9c1c8d2c325fc5626
|
valid
|
_escape_char
|
Escape a single character
|
escapism.py
|
def _escape_char(c, escape_char=ESCAPE_CHAR):
"""Escape a single character"""
buf = []
for byte in c.encode('utf8'):
buf.append(escape_char)
buf.append('%X' % _ord(byte))
return ''.join(buf)
|
def _escape_char(c, escape_char=ESCAPE_CHAR):
"""Escape a single character"""
buf = []
for byte in c.encode('utf8'):
buf.append(escape_char)
buf.append('%X' % _ord(byte))
return ''.join(buf)
|
[
"Escape",
"a",
"single",
"character"
] |
minrk/escapism
|
python
|
https://github.com/minrk/escapism/blob/35f4c194ad6de2bc3339bb8b0e522dca989143ff/escapism.py#L30-L36
|
[
"def",
"_escape_char",
"(",
"c",
",",
"escape_char",
"=",
"ESCAPE_CHAR",
")",
":",
"buf",
"=",
"[",
"]",
"for",
"byte",
"in",
"c",
".",
"encode",
"(",
"'utf8'",
")",
":",
"buf",
".",
"append",
"(",
"escape_char",
")",
"buf",
".",
"append",
"(",
"'%X'",
"%",
"_ord",
"(",
"byte",
")",
")",
"return",
"''",
".",
"join",
"(",
"buf",
")"
] |
35f4c194ad6de2bc3339bb8b0e522dca989143ff
|
valid
|
escape
|
Escape a string so that it only contains characters in a safe set.
Characters outside the safe list will be escaped with _%x_,
where %x is the hex value of the character.
If `allow_collisions` is True, occurrences of `escape_char`
in the input will not be escaped.
In this case, `unescape` cannot be used to reverse the transform
because occurrences of the escape char in the resulting string are ambiguous.
Only use this mode when:
1. collisions cannot occur or do not matter, and
2. unescape will never be called.
.. versionadded: 1.0
allow_collisions argument.
Prior to 1.0, behavior was the same as allow_collisions=False (default).
|
escapism.py
|
def escape(to_escape, safe=SAFE, escape_char=ESCAPE_CHAR, allow_collisions=False):
"""Escape a string so that it only contains characters in a safe set.
Characters outside the safe list will be escaped with _%x_,
where %x is the hex value of the character.
If `allow_collisions` is True, occurrences of `escape_char`
in the input will not be escaped.
In this case, `unescape` cannot be used to reverse the transform
because occurrences of the escape char in the resulting string are ambiguous.
Only use this mode when:
1. collisions cannot occur or do not matter, and
2. unescape will never be called.
.. versionadded: 1.0
allow_collisions argument.
Prior to 1.0, behavior was the same as allow_collisions=False (default).
"""
if isinstance(to_escape, bytes):
# always work on text
to_escape = to_escape.decode('utf8')
if not isinstance(safe, set):
safe = set(safe)
if allow_collisions:
safe.add(escape_char)
elif escape_char in safe:
# escape char can't be in safe list
safe.remove(escape_char)
chars = []
for c in to_escape:
if c in safe:
chars.append(c)
else:
chars.append(_escape_char(c, escape_char))
return u''.join(chars)
|
def escape(to_escape, safe=SAFE, escape_char=ESCAPE_CHAR, allow_collisions=False):
"""Escape a string so that it only contains characters in a safe set.
Characters outside the safe list will be escaped with _%x_,
where %x is the hex value of the character.
If `allow_collisions` is True, occurrences of `escape_char`
in the input will not be escaped.
In this case, `unescape` cannot be used to reverse the transform
because occurrences of the escape char in the resulting string are ambiguous.
Only use this mode when:
1. collisions cannot occur or do not matter, and
2. unescape will never be called.
.. versionadded: 1.0
allow_collisions argument.
Prior to 1.0, behavior was the same as allow_collisions=False (default).
"""
if isinstance(to_escape, bytes):
# always work on text
to_escape = to_escape.decode('utf8')
if not isinstance(safe, set):
safe = set(safe)
if allow_collisions:
safe.add(escape_char)
elif escape_char in safe:
# escape char can't be in safe list
safe.remove(escape_char)
chars = []
for c in to_escape:
if c in safe:
chars.append(c)
else:
chars.append(_escape_char(c, escape_char))
return u''.join(chars)
|
[
"Escape",
"a",
"string",
"so",
"that",
"it",
"only",
"contains",
"characters",
"in",
"a",
"safe",
"set",
"."
] |
minrk/escapism
|
python
|
https://github.com/minrk/escapism/blob/35f4c194ad6de2bc3339bb8b0e522dca989143ff/escapism.py#L39-L79
|
[
"def",
"escape",
"(",
"to_escape",
",",
"safe",
"=",
"SAFE",
",",
"escape_char",
"=",
"ESCAPE_CHAR",
",",
"allow_collisions",
"=",
"False",
")",
":",
"if",
"isinstance",
"(",
"to_escape",
",",
"bytes",
")",
":",
"# always work on text",
"to_escape",
"=",
"to_escape",
".",
"decode",
"(",
"'utf8'",
")",
"if",
"not",
"isinstance",
"(",
"safe",
",",
"set",
")",
":",
"safe",
"=",
"set",
"(",
"safe",
")",
"if",
"allow_collisions",
":",
"safe",
".",
"add",
"(",
"escape_char",
")",
"elif",
"escape_char",
"in",
"safe",
":",
"# escape char can't be in safe list",
"safe",
".",
"remove",
"(",
"escape_char",
")",
"chars",
"=",
"[",
"]",
"for",
"c",
"in",
"to_escape",
":",
"if",
"c",
"in",
"safe",
":",
"chars",
".",
"append",
"(",
"c",
")",
"else",
":",
"chars",
".",
"append",
"(",
"_escape_char",
"(",
"c",
",",
"escape_char",
")",
")",
"return",
"u''",
".",
"join",
"(",
"chars",
")"
] |
35f4c194ad6de2bc3339bb8b0e522dca989143ff
|
valid
|
unescape
|
Unescape a string escaped with `escape`
escape_char must be the same as that used in the call to escape.
|
escapism.py
|
def unescape(escaped, escape_char=ESCAPE_CHAR):
"""Unescape a string escaped with `escape`
escape_char must be the same as that used in the call to escape.
"""
if isinstance(escaped, bytes):
# always work on text
escaped = escaped.decode('utf8')
escape_pat = re.compile(re.escape(escape_char).encode('utf8') + b'([a-z0-9]{2})', re.IGNORECASE)
buf = escape_pat.subn(_unescape_char, escaped.encode('utf8'))[0]
return buf.decode('utf8')
|
def unescape(escaped, escape_char=ESCAPE_CHAR):
"""Unescape a string escaped with `escape`
escape_char must be the same as that used in the call to escape.
"""
if isinstance(escaped, bytes):
# always work on text
escaped = escaped.decode('utf8')
escape_pat = re.compile(re.escape(escape_char).encode('utf8') + b'([a-z0-9]{2})', re.IGNORECASE)
buf = escape_pat.subn(_unescape_char, escaped.encode('utf8'))[0]
return buf.decode('utf8')
|
[
"Unescape",
"a",
"string",
"escaped",
"with",
"escape",
"escape_char",
"must",
"be",
"the",
"same",
"as",
"that",
"used",
"in",
"the",
"call",
"to",
"escape",
"."
] |
minrk/escapism
|
python
|
https://github.com/minrk/escapism/blob/35f4c194ad6de2bc3339bb8b0e522dca989143ff/escapism.py#L91-L102
|
[
"def",
"unescape",
"(",
"escaped",
",",
"escape_char",
"=",
"ESCAPE_CHAR",
")",
":",
"if",
"isinstance",
"(",
"escaped",
",",
"bytes",
")",
":",
"# always work on text",
"escaped",
"=",
"escaped",
".",
"decode",
"(",
"'utf8'",
")",
"escape_pat",
"=",
"re",
".",
"compile",
"(",
"re",
".",
"escape",
"(",
"escape_char",
")",
".",
"encode",
"(",
"'utf8'",
")",
"+",
"b'([a-z0-9]{2})'",
",",
"re",
".",
"IGNORECASE",
")",
"buf",
"=",
"escape_pat",
".",
"subn",
"(",
"_unescape_char",
",",
"escaped",
".",
"encode",
"(",
"'utf8'",
")",
")",
"[",
"0",
"]",
"return",
"buf",
".",
"decode",
"(",
"'utf8'",
")"
] |
35f4c194ad6de2bc3339bb8b0e522dca989143ff
|
valid
|
BaseBackend.can_send
|
Determines whether this backend is allowed to send a notification to
the given user and notice_type.
|
notification/backends/base.py
|
def can_send(self, user, notice_type):
"""
Determines whether this backend is allowed to send a notification to
the given user and notice_type.
"""
from notification.models import NoticeSetting
return NoticeSetting.for_user(user, notice_type, self.medium_id).send
|
def can_send(self, user, notice_type):
"""
Determines whether this backend is allowed to send a notification to
the given user and notice_type.
"""
from notification.models import NoticeSetting
return NoticeSetting.for_user(user, notice_type, self.medium_id).send
|
[
"Determines",
"whether",
"this",
"backend",
"is",
"allowed",
"to",
"send",
"a",
"notification",
"to",
"the",
"given",
"user",
"and",
"notice_type",
"."
] |
GeoNode/geonode-notification
|
python
|
https://github.com/GeoNode/geonode-notification/blob/c60bc28f16f5d0e62536e76c17d6944a79449ef1/notification/backends/base.py#L17-L23
|
[
"def",
"can_send",
"(",
"self",
",",
"user",
",",
"notice_type",
")",
":",
"from",
"notification",
".",
"models",
"import",
"NoticeSetting",
"return",
"NoticeSetting",
".",
"for_user",
"(",
"user",
",",
"notice_type",
",",
"self",
".",
"medium_id",
")",
".",
"send"
] |
c60bc28f16f5d0e62536e76c17d6944a79449ef1
|
valid
|
BaseBackend.get_formatted_messages
|
Returns a dictionary with the format identifier as the key. The values are
are fully rendered templates with the given context.
|
notification/backends/base.py
|
def get_formatted_messages(self, formats, label, context):
"""
Returns a dictionary with the format identifier as the key. The values are
are fully rendered templates with the given context.
"""
format_templates = {}
for fmt in formats:
# conditionally turn off autoescaping for .txt extensions in format
if fmt.endswith(".txt"):
context.autoescape = False
format_templates[fmt] = render_to_string((
"notification/%s/%s" % (label, fmt),
"notification/%s" % fmt), context_instance=context)
return format_templates
|
def get_formatted_messages(self, formats, label, context):
"""
Returns a dictionary with the format identifier as the key. The values are
are fully rendered templates with the given context.
"""
format_templates = {}
for fmt in formats:
# conditionally turn off autoescaping for .txt extensions in format
if fmt.endswith(".txt"):
context.autoescape = False
format_templates[fmt] = render_to_string((
"notification/%s/%s" % (label, fmt),
"notification/%s" % fmt), context_instance=context)
return format_templates
|
[
"Returns",
"a",
"dictionary",
"with",
"the",
"format",
"identifier",
"as",
"the",
"key",
".",
"The",
"values",
"are",
"are",
"fully",
"rendered",
"templates",
"with",
"the",
"given",
"context",
"."
] |
GeoNode/geonode-notification
|
python
|
https://github.com/GeoNode/geonode-notification/blob/c60bc28f16f5d0e62536e76c17d6944a79449ef1/notification/backends/base.py#L31-L44
|
[
"def",
"get_formatted_messages",
"(",
"self",
",",
"formats",
",",
"label",
",",
"context",
")",
":",
"format_templates",
"=",
"{",
"}",
"for",
"fmt",
"in",
"formats",
":",
"# conditionally turn off autoescaping for .txt extensions in format",
"if",
"fmt",
".",
"endswith",
"(",
"\".txt\"",
")",
":",
"context",
".",
"autoescape",
"=",
"False",
"format_templates",
"[",
"fmt",
"]",
"=",
"render_to_string",
"(",
"(",
"\"notification/%s/%s\"",
"%",
"(",
"label",
",",
"fmt",
")",
",",
"\"notification/%s\"",
"%",
"fmt",
")",
",",
"context_instance",
"=",
"context",
")",
"return",
"format_templates"
] |
c60bc28f16f5d0e62536e76c17d6944a79449ef1
|
valid
|
copy_attributes
|
Copy the attributes from a source object to a destination object.
|
generator/util.py
|
def copy_attributes(source, destination, ignore_patterns=[]):
"""
Copy the attributes from a source object to a destination object.
"""
for attr in _wildcard_filter(dir(source), *ignore_patterns):
setattr(destination, attr, getattr(source, attr))
|
def copy_attributes(source, destination, ignore_patterns=[]):
"""
Copy the attributes from a source object to a destination object.
"""
for attr in _wildcard_filter(dir(source), *ignore_patterns):
setattr(destination, attr, getattr(source, attr))
|
[
"Copy",
"the",
"attributes",
"from",
"a",
"source",
"object",
"to",
"a",
"destination",
"object",
"."
] |
kevinastone/generator
|
python
|
https://github.com/kevinastone/generator/blob/d7a6484582f3b69d4bc645bf3f20bb03924d5b39/generator/util.py#L11-L16
|
[
"def",
"copy_attributes",
"(",
"source",
",",
"destination",
",",
"ignore_patterns",
"=",
"[",
"]",
")",
":",
"for",
"attr",
"in",
"_wildcard_filter",
"(",
"dir",
"(",
"source",
")",
",",
"*",
"ignore_patterns",
")",
":",
"setattr",
"(",
"destination",
",",
"attr",
",",
"getattr",
"(",
"source",
",",
"attr",
")",
")"
] |
d7a6484582f3b69d4bc645bf3f20bb03924d5b39
|
valid
|
DataFrameColumnSet.row
|
Returns DataFrameRow of the DataFrame given its index.
:param idx: the index of the row in the DataFrame.
:return: returns a DataFrameRow
|
dataframe/_dataframe_column_set.py
|
def row(self, idx):
"""
Returns DataFrameRow of the DataFrame given its index.
:param idx: the index of the row in the DataFrame.
:return: returns a DataFrameRow
"""
return DataFrameRow(idx, [x[idx] for x in self], self.colnames)
|
def row(self, idx):
"""
Returns DataFrameRow of the DataFrame given its index.
:param idx: the index of the row in the DataFrame.
:return: returns a DataFrameRow
"""
return DataFrameRow(idx, [x[idx] for x in self], self.colnames)
|
[
"Returns",
"DataFrameRow",
"of",
"the",
"DataFrame",
"given",
"its",
"index",
"."
] |
dirmeier/dataframe
|
python
|
https://github.com/dirmeier/dataframe/blob/39992e23293393cc1320d1b9c1c8d2c325fc5626/dataframe/_dataframe_column_set.py#L72-L79
|
[
"def",
"row",
"(",
"self",
",",
"idx",
")",
":",
"return",
"DataFrameRow",
"(",
"idx",
",",
"[",
"x",
"[",
"idx",
"]",
"for",
"x",
"in",
"self",
"]",
",",
"self",
".",
"colnames",
")"
] |
39992e23293393cc1320d1b9c1c8d2c325fc5626
|
valid
|
notice_settings
|
The notice settings view.
Template: :template:`notification/notice_settings.html`
Context:
notice_types
A list of all :model:`notification.NoticeType` objects.
notice_settings
A dictionary containing ``column_headers`` for each ``NOTICE_MEDIA``
and ``rows`` containing a list of dictionaries: ``notice_type``, a
:model:`notification.NoticeType` object and ``cells``, a list of
tuples whose first value is suitable for use in forms and the second
value is ``True`` or ``False`` depending on a ``request.POST``
variable called ``form_label``, whose valid value is ``on``.
|
notification/views.py
|
def notice_settings(request):
"""
The notice settings view.
Template: :template:`notification/notice_settings.html`
Context:
notice_types
A list of all :model:`notification.NoticeType` objects.
notice_settings
A dictionary containing ``column_headers`` for each ``NOTICE_MEDIA``
and ``rows`` containing a list of dictionaries: ``notice_type``, a
:model:`notification.NoticeType` object and ``cells``, a list of
tuples whose first value is suitable for use in forms and the second
value is ``True`` or ``False`` depending on a ``request.POST``
variable called ``form_label``, whose valid value is ``on``.
"""
notice_types = NoticeType.objects.all()
settings_table = []
for notice_type in notice_types:
settings_row = []
for medium_id, medium_display in NOTICE_MEDIA:
form_label = "%s_%s" % (notice_type.label, medium_id)
setting = NoticeSetting.for_user(request.user, notice_type, medium_id)
if request.method == "POST":
if request.POST.get(form_label) == "on":
if not setting.send:
setting.send = True
setting.save()
else:
if setting.send:
setting.send = False
setting.save()
settings_row.append((form_label, setting.send))
settings_table.append({"notice_type": notice_type, "cells": settings_row})
if request.method == "POST":
next_page = request.POST.get("next_page", ".")
return HttpResponseRedirect(next_page)
settings = {
"column_headers": [medium_display for medium_id, medium_display in NOTICE_MEDIA],
"rows": settings_table,
}
return render_to_response("notification/notice_settings.html", {
"notice_types": notice_types,
"notice_settings": settings,
}, context_instance=RequestContext(request))
|
def notice_settings(request):
"""
The notice settings view.
Template: :template:`notification/notice_settings.html`
Context:
notice_types
A list of all :model:`notification.NoticeType` objects.
notice_settings
A dictionary containing ``column_headers`` for each ``NOTICE_MEDIA``
and ``rows`` containing a list of dictionaries: ``notice_type``, a
:model:`notification.NoticeType` object and ``cells``, a list of
tuples whose first value is suitable for use in forms and the second
value is ``True`` or ``False`` depending on a ``request.POST``
variable called ``form_label``, whose valid value is ``on``.
"""
notice_types = NoticeType.objects.all()
settings_table = []
for notice_type in notice_types:
settings_row = []
for medium_id, medium_display in NOTICE_MEDIA:
form_label = "%s_%s" % (notice_type.label, medium_id)
setting = NoticeSetting.for_user(request.user, notice_type, medium_id)
if request.method == "POST":
if request.POST.get(form_label) == "on":
if not setting.send:
setting.send = True
setting.save()
else:
if setting.send:
setting.send = False
setting.save()
settings_row.append((form_label, setting.send))
settings_table.append({"notice_type": notice_type, "cells": settings_row})
if request.method == "POST":
next_page = request.POST.get("next_page", ".")
return HttpResponseRedirect(next_page)
settings = {
"column_headers": [medium_display for medium_id, medium_display in NOTICE_MEDIA],
"rows": settings_table,
}
return render_to_response("notification/notice_settings.html", {
"notice_types": notice_types,
"notice_settings": settings,
}, context_instance=RequestContext(request))
|
[
"The",
"notice",
"settings",
"view",
"."
] |
GeoNode/geonode-notification
|
python
|
https://github.com/GeoNode/geonode-notification/blob/c60bc28f16f5d0e62536e76c17d6944a79449ef1/notification/views.py#L11-L61
|
[
"def",
"notice_settings",
"(",
"request",
")",
":",
"notice_types",
"=",
"NoticeType",
".",
"objects",
".",
"all",
"(",
")",
"settings_table",
"=",
"[",
"]",
"for",
"notice_type",
"in",
"notice_types",
":",
"settings_row",
"=",
"[",
"]",
"for",
"medium_id",
",",
"medium_display",
"in",
"NOTICE_MEDIA",
":",
"form_label",
"=",
"\"%s_%s\"",
"%",
"(",
"notice_type",
".",
"label",
",",
"medium_id",
")",
"setting",
"=",
"NoticeSetting",
".",
"for_user",
"(",
"request",
".",
"user",
",",
"notice_type",
",",
"medium_id",
")",
"if",
"request",
".",
"method",
"==",
"\"POST\"",
":",
"if",
"request",
".",
"POST",
".",
"get",
"(",
"form_label",
")",
"==",
"\"on\"",
":",
"if",
"not",
"setting",
".",
"send",
":",
"setting",
".",
"send",
"=",
"True",
"setting",
".",
"save",
"(",
")",
"else",
":",
"if",
"setting",
".",
"send",
":",
"setting",
".",
"send",
"=",
"False",
"setting",
".",
"save",
"(",
")",
"settings_row",
".",
"append",
"(",
"(",
"form_label",
",",
"setting",
".",
"send",
")",
")",
"settings_table",
".",
"append",
"(",
"{",
"\"notice_type\"",
":",
"notice_type",
",",
"\"cells\"",
":",
"settings_row",
"}",
")",
"if",
"request",
".",
"method",
"==",
"\"POST\"",
":",
"next_page",
"=",
"request",
".",
"POST",
".",
"get",
"(",
"\"next_page\"",
",",
"\".\"",
")",
"return",
"HttpResponseRedirect",
"(",
"next_page",
")",
"settings",
"=",
"{",
"\"column_headers\"",
":",
"[",
"medium_display",
"for",
"medium_id",
",",
"medium_display",
"in",
"NOTICE_MEDIA",
"]",
",",
"\"rows\"",
":",
"settings_table",
",",
"}",
"return",
"render_to_response",
"(",
"\"notification/notice_settings.html\"",
",",
"{",
"\"notice_types\"",
":",
"notice_types",
",",
"\"notice_settings\"",
":",
"settings",
",",
"}",
",",
"context_instance",
"=",
"RequestContext",
"(",
"request",
")",
")"
] |
c60bc28f16f5d0e62536e76c17d6944a79449ef1
|
valid
|
Tungsten.query
|
Query Wolfram Alpha and return a Result object
|
tungsten/core.py
|
def query(self, input = '', params = {}):
"""Query Wolfram Alpha and return a Result object"""
# Get and construct query parameters
# Default parameters
payload = {'input': input,
'appid': self.appid}
# Additional parameters (from params), formatted for url
for key, value in params.items():
# Check if value is list or tuple type (needs to be comma joined)
if isinstance(value, (list, tuple)):
payload[key] = ','.join(value)
else:
payload[key] = value
# Catch any issues with connecting to Wolfram Alpha API
try:
r = requests.get("http://api.wolframalpha.com/v2/query", params=payload)
# Raise Exception (to be returned as error)
if r.status_code != 200:
raise Exception('Invalid response status code: %s' % (r.status_code))
if r.encoding != 'utf-8':
raise Exception('Invalid encoding: %s' % (r.encoding))
except Exception, e:
return Result(error = e)
return Result(xml = r.text)
|
def query(self, input = '', params = {}):
"""Query Wolfram Alpha and return a Result object"""
# Get and construct query parameters
# Default parameters
payload = {'input': input,
'appid': self.appid}
# Additional parameters (from params), formatted for url
for key, value in params.items():
# Check if value is list or tuple type (needs to be comma joined)
if isinstance(value, (list, tuple)):
payload[key] = ','.join(value)
else:
payload[key] = value
# Catch any issues with connecting to Wolfram Alpha API
try:
r = requests.get("http://api.wolframalpha.com/v2/query", params=payload)
# Raise Exception (to be returned as error)
if r.status_code != 200:
raise Exception('Invalid response status code: %s' % (r.status_code))
if r.encoding != 'utf-8':
raise Exception('Invalid encoding: %s' % (r.encoding))
except Exception, e:
return Result(error = e)
return Result(xml = r.text)
|
[
"Query",
"Wolfram",
"Alpha",
"and",
"return",
"a",
"Result",
"object"
] |
seenaburns/Tungsten
|
python
|
https://github.com/seenaburns/Tungsten/blob/9e865c77a11c512464f226a6b025bc43b798a8be/tungsten/core.py#L18-L45
|
[
"def",
"query",
"(",
"self",
",",
"input",
"=",
"''",
",",
"params",
"=",
"{",
"}",
")",
":",
"# Get and construct query parameters",
"# Default parameters",
"payload",
"=",
"{",
"'input'",
":",
"input",
",",
"'appid'",
":",
"self",
".",
"appid",
"}",
"# Additional parameters (from params), formatted for url",
"for",
"key",
",",
"value",
"in",
"params",
".",
"items",
"(",
")",
":",
"# Check if value is list or tuple type (needs to be comma joined)",
"if",
"isinstance",
"(",
"value",
",",
"(",
"list",
",",
"tuple",
")",
")",
":",
"payload",
"[",
"key",
"]",
"=",
"','",
".",
"join",
"(",
"value",
")",
"else",
":",
"payload",
"[",
"key",
"]",
"=",
"value",
"# Catch any issues with connecting to Wolfram Alpha API",
"try",
":",
"r",
"=",
"requests",
".",
"get",
"(",
"\"http://api.wolframalpha.com/v2/query\"",
",",
"params",
"=",
"payload",
")",
"# Raise Exception (to be returned as error)",
"if",
"r",
".",
"status_code",
"!=",
"200",
":",
"raise",
"Exception",
"(",
"'Invalid response status code: %s'",
"%",
"(",
"r",
".",
"status_code",
")",
")",
"if",
"r",
".",
"encoding",
"!=",
"'utf-8'",
":",
"raise",
"Exception",
"(",
"'Invalid encoding: %s'",
"%",
"(",
"r",
".",
"encoding",
")",
")",
"except",
"Exception",
",",
"e",
":",
"return",
"Result",
"(",
"error",
"=",
"e",
")",
"return",
"Result",
"(",
"xml",
"=",
"r",
".",
"text",
")"
] |
9e865c77a11c512464f226a6b025bc43b798a8be
|
valid
|
Result.pods
|
Return list of all Pod objects in result
|
tungsten/core.py
|
def pods(self):
"""Return list of all Pod objects in result"""
# Return empty list if xml_tree is not defined (error Result object)
if not self.xml_tree:
return []
# Create a Pod object for every pod group in xml
return [Pod(elem) for elem in self.xml_tree.findall('pod')]
|
def pods(self):
"""Return list of all Pod objects in result"""
# Return empty list if xml_tree is not defined (error Result object)
if not self.xml_tree:
return []
# Create a Pod object for every pod group in xml
return [Pod(elem) for elem in self.xml_tree.findall('pod')]
|
[
"Return",
"list",
"of",
"all",
"Pod",
"objects",
"in",
"result"
] |
seenaburns/Tungsten
|
python
|
https://github.com/seenaburns/Tungsten/blob/9e865c77a11c512464f226a6b025bc43b798a8be/tungsten/core.py#L80-L87
|
[
"def",
"pods",
"(",
"self",
")",
":",
"# Return empty list if xml_tree is not defined (error Result object)",
"if",
"not",
"self",
".",
"xml_tree",
":",
"return",
"[",
"]",
"# Create a Pod object for every pod group in xml",
"return",
"[",
"Pod",
"(",
"elem",
")",
"for",
"elem",
"in",
"self",
".",
"xml_tree",
".",
"findall",
"(",
"'pod'",
")",
"]"
] |
9e865c77a11c512464f226a6b025bc43b798a8be
|
valid
|
Pod.format
|
Dictionary of available formats, corresponding to a list of the values
Example: pod.format['plaintext'] will return a list of every plaintext
content in the pod's subpods
|
tungsten/core.py
|
def format(self):
"""
Dictionary of available formats, corresponding to a list of the values
Example: pod.format['plaintext'] will return a list of every plaintext
content in the pod's subpods
"""
formats = {}
# Iterate through all the tags (formats) in subpods
# 'state' is a tag but not an acceptable format
for subpod in self.root.findall('subpod'):
# elem will be a specific format
for elem in list(subpod):
# skip any subpod state xml groups (not a format)
if elem.tag == 'state':
continue
# Content of elem (specific format)
content = elem.text
# img needs special content packaging
if elem.tag == 'img':
content = {'url': elem.get('src'),
'alt': elem.get('alt'),
'title': elem.get('title'),
'width': int(elem.get('width', 0)),
'height': int(elem.get('height', 0))}
# Create / append to return dict
if elem.tag not in formats:
formats[elem.tag] = [content]
else:
formats[elem.tag].append(content)
return formats
|
def format(self):
"""
Dictionary of available formats, corresponding to a list of the values
Example: pod.format['plaintext'] will return a list of every plaintext
content in the pod's subpods
"""
formats = {}
# Iterate through all the tags (formats) in subpods
# 'state' is a tag but not an acceptable format
for subpod in self.root.findall('subpod'):
# elem will be a specific format
for elem in list(subpod):
# skip any subpod state xml groups (not a format)
if elem.tag == 'state':
continue
# Content of elem (specific format)
content = elem.text
# img needs special content packaging
if elem.tag == 'img':
content = {'url': elem.get('src'),
'alt': elem.get('alt'),
'title': elem.get('title'),
'width': int(elem.get('width', 0)),
'height': int(elem.get('height', 0))}
# Create / append to return dict
if elem.tag not in formats:
formats[elem.tag] = [content]
else:
formats[elem.tag].append(content)
return formats
|
[
"Dictionary",
"of",
"available",
"formats",
"corresponding",
"to",
"a",
"list",
"of",
"the",
"values",
"Example",
":",
"pod",
".",
"format",
"[",
"plaintext",
"]",
"will",
"return",
"a",
"list",
"of",
"every",
"plaintext",
"content",
"in",
"the",
"pod",
"s",
"subpods"
] |
seenaburns/Tungsten
|
python
|
https://github.com/seenaburns/Tungsten/blob/9e865c77a11c512464f226a6b025bc43b798a8be/tungsten/core.py#L108-L144
|
[
"def",
"format",
"(",
"self",
")",
":",
"formats",
"=",
"{",
"}",
"# Iterate through all the tags (formats) in subpods",
"# 'state' is a tag but not an acceptable format",
"for",
"subpod",
"in",
"self",
".",
"root",
".",
"findall",
"(",
"'subpod'",
")",
":",
"# elem will be a specific format",
"for",
"elem",
"in",
"list",
"(",
"subpod",
")",
":",
"# skip any subpod state xml groups (not a format)",
"if",
"elem",
".",
"tag",
"==",
"'state'",
":",
"continue",
"# Content of elem (specific format)",
"content",
"=",
"elem",
".",
"text",
"# img needs special content packaging",
"if",
"elem",
".",
"tag",
"==",
"'img'",
":",
"content",
"=",
"{",
"'url'",
":",
"elem",
".",
"get",
"(",
"'src'",
")",
",",
"'alt'",
":",
"elem",
".",
"get",
"(",
"'alt'",
")",
",",
"'title'",
":",
"elem",
".",
"get",
"(",
"'title'",
")",
",",
"'width'",
":",
"int",
"(",
"elem",
".",
"get",
"(",
"'width'",
",",
"0",
")",
")",
",",
"'height'",
":",
"int",
"(",
"elem",
".",
"get",
"(",
"'height'",
",",
"0",
")",
")",
"}",
"# Create / append to return dict",
"if",
"elem",
".",
"tag",
"not",
"in",
"formats",
":",
"formats",
"[",
"elem",
".",
"tag",
"]",
"=",
"[",
"content",
"]",
"else",
":",
"formats",
"[",
"elem",
".",
"tag",
"]",
".",
"append",
"(",
"content",
")",
"return",
"formats"
] |
9e865c77a11c512464f226a6b025bc43b798a8be
|
valid
|
SearchTree.find
|
Find a node in the tree. If the node is not found it is added first and then returned.
:param args: a tuple
:return: returns the node
|
dataframe/search_tree/search_tree.py
|
def find(self, *args):
"""
Find a node in the tree. If the node is not found it is added first and then returned.
:param args: a tuple
:return: returns the node
"""
curr_node = self.__root
return self.__traverse(curr_node, 0, *args)
|
def find(self, *args):
"""
Find a node in the tree. If the node is not found it is added first and then returned.
:param args: a tuple
:return: returns the node
"""
curr_node = self.__root
return self.__traverse(curr_node, 0, *args)
|
[
"Find",
"a",
"node",
"in",
"the",
"tree",
".",
"If",
"the",
"node",
"is",
"not",
"found",
"it",
"is",
"added",
"first",
"and",
"then",
"returned",
"."
] |
dirmeier/dataframe
|
python
|
https://github.com/dirmeier/dataframe/blob/39992e23293393cc1320d1b9c1c8d2c325fc5626/dataframe/search_tree/search_tree.py#L37-L45
|
[
"def",
"find",
"(",
"self",
",",
"*",
"args",
")",
":",
"curr_node",
"=",
"self",
".",
"__root",
"return",
"self",
".",
"__traverse",
"(",
"curr_node",
",",
"0",
",",
"*",
"args",
")"
] |
39992e23293393cc1320d1b9c1c8d2c325fc5626
|
valid
|
get_notification_language
|
Returns site-specific notification language for this user. Raises
LanguageStoreNotAvailable if this site does not use translated
notifications.
|
notification/models.py
|
def get_notification_language(user):
"""
Returns site-specific notification language for this user. Raises
LanguageStoreNotAvailable if this site does not use translated
notifications.
"""
if getattr(settings, "NOTIFICATION_LANGUAGE_MODULE", False):
try:
app_label, model_name = settings.NOTIFICATION_LANGUAGE_MODULE.split(".")
model = models.get_model(app_label, model_name)
# pylint: disable-msg=W0212
language_model = model._default_manager.get(user__id__exact=user.id)
if hasattr(language_model, "language"):
return language_model.language
except (ImportError, ImproperlyConfigured, model.DoesNotExist):
raise LanguageStoreNotAvailable
raise LanguageStoreNotAvailable
|
def get_notification_language(user):
"""
Returns site-specific notification language for this user. Raises
LanguageStoreNotAvailable if this site does not use translated
notifications.
"""
if getattr(settings, "NOTIFICATION_LANGUAGE_MODULE", False):
try:
app_label, model_name = settings.NOTIFICATION_LANGUAGE_MODULE.split(".")
model = models.get_model(app_label, model_name)
# pylint: disable-msg=W0212
language_model = model._default_manager.get(user__id__exact=user.id)
if hasattr(language_model, "language"):
return language_model.language
except (ImportError, ImproperlyConfigured, model.DoesNotExist):
raise LanguageStoreNotAvailable
raise LanguageStoreNotAvailable
|
[
"Returns",
"site",
"-",
"specific",
"notification",
"language",
"for",
"this",
"user",
".",
"Raises",
"LanguageStoreNotAvailable",
"if",
"this",
"site",
"does",
"not",
"use",
"translated",
"notifications",
"."
] |
GeoNode/geonode-notification
|
python
|
https://github.com/GeoNode/geonode-notification/blob/c60bc28f16f5d0e62536e76c17d6944a79449ef1/notification/models.py#L117-L133
|
[
"def",
"get_notification_language",
"(",
"user",
")",
":",
"if",
"getattr",
"(",
"settings",
",",
"\"NOTIFICATION_LANGUAGE_MODULE\"",
",",
"False",
")",
":",
"try",
":",
"app_label",
",",
"model_name",
"=",
"settings",
".",
"NOTIFICATION_LANGUAGE_MODULE",
".",
"split",
"(",
"\".\"",
")",
"model",
"=",
"models",
".",
"get_model",
"(",
"app_label",
",",
"model_name",
")",
"# pylint: disable-msg=W0212",
"language_model",
"=",
"model",
".",
"_default_manager",
".",
"get",
"(",
"user__id__exact",
"=",
"user",
".",
"id",
")",
"if",
"hasattr",
"(",
"language_model",
",",
"\"language\"",
")",
":",
"return",
"language_model",
".",
"language",
"except",
"(",
"ImportError",
",",
"ImproperlyConfigured",
",",
"model",
".",
"DoesNotExist",
")",
":",
"raise",
"LanguageStoreNotAvailable",
"raise",
"LanguageStoreNotAvailable"
] |
c60bc28f16f5d0e62536e76c17d6944a79449ef1
|
valid
|
send_now
|
Creates a new notice.
This is intended to be how other apps create new notices.
notification.send(user, "friends_invite_sent", {
"spam": "eggs",
"foo": "bar",
)
|
notification/models.py
|
def send_now(users, label, extra_context=None, sender=None):
"""
Creates a new notice.
This is intended to be how other apps create new notices.
notification.send(user, "friends_invite_sent", {
"spam": "eggs",
"foo": "bar",
)
"""
sent = False
if extra_context is None:
extra_context = {}
notice_type = NoticeType.objects.get(label=label)
current_language = get_language()
for user in users:
# get user language for user from language store defined in
# NOTIFICATION_LANGUAGE_MODULE setting
try:
language = get_notification_language(user)
except LanguageStoreNotAvailable:
language = None
if language is not None:
# activate the user's language
activate(language)
for backend in NOTIFICATION_BACKENDS.values():
if backend.can_send(user, notice_type):
backend.deliver(user, sender, notice_type, extra_context)
sent = True
# reset environment to original language
activate(current_language)
return sent
|
def send_now(users, label, extra_context=None, sender=None):
"""
Creates a new notice.
This is intended to be how other apps create new notices.
notification.send(user, "friends_invite_sent", {
"spam": "eggs",
"foo": "bar",
)
"""
sent = False
if extra_context is None:
extra_context = {}
notice_type = NoticeType.objects.get(label=label)
current_language = get_language()
for user in users:
# get user language for user from language store defined in
# NOTIFICATION_LANGUAGE_MODULE setting
try:
language = get_notification_language(user)
except LanguageStoreNotAvailable:
language = None
if language is not None:
# activate the user's language
activate(language)
for backend in NOTIFICATION_BACKENDS.values():
if backend.can_send(user, notice_type):
backend.deliver(user, sender, notice_type, extra_context)
sent = True
# reset environment to original language
activate(current_language)
return sent
|
[
"Creates",
"a",
"new",
"notice",
"."
] |
GeoNode/geonode-notification
|
python
|
https://github.com/GeoNode/geonode-notification/blob/c60bc28f16f5d0e62536e76c17d6944a79449ef1/notification/models.py#L136-L174
|
[
"def",
"send_now",
"(",
"users",
",",
"label",
",",
"extra_context",
"=",
"None",
",",
"sender",
"=",
"None",
")",
":",
"sent",
"=",
"False",
"if",
"extra_context",
"is",
"None",
":",
"extra_context",
"=",
"{",
"}",
"notice_type",
"=",
"NoticeType",
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"objects",
".",
"get",
"(",
"label",
"=",
"label",
")",
"current_language",
"=",
"get_language",
"(",
")",
"for",
"user",
"in",
"users",
":",
"# get user language for user from language store defined in",
"# NOTIFICATION_LANGUAGE_MODULE setting",
"try",
":",
"language",
"=",
"get_notification_language",
"(",
"user",
")",
"except",
"LanguageStoreNotAvailable",
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"language",
"=",
"None",
"if",
"language",
"is",
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"None",
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"# activate the user's language",
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"language",
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"in",
"NOTIFICATION_BACKENDS",
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"values",
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")",
":",
"if",
"backend",
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"can_send",
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"user",
",",
"notice_type",
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":",
"backend",
".",
"deliver",
"(",
"user",
",",
"sender",
",",
"notice_type",
",",
"extra_context",
")",
"sent",
"=",
"True",
"# reset environment to original language",
"activate",
"(",
"current_language",
")",
"return",
"sent"
] |
c60bc28f16f5d0e62536e76c17d6944a79449ef1
|
valid
|
send
|
A basic interface around both queue and send_now. This honors a global
flag NOTIFICATION_QUEUE_ALL that helps determine whether all calls should
be queued or not. A per call ``queue`` or ``now`` keyword argument can be
used to always override the default global behavior.
|
notification/models.py
|
def send(*args, **kwargs):
"""
A basic interface around both queue and send_now. This honors a global
flag NOTIFICATION_QUEUE_ALL that helps determine whether all calls should
be queued or not. A per call ``queue`` or ``now`` keyword argument can be
used to always override the default global behavior.
"""
queue_flag = kwargs.pop("queue", False)
now_flag = kwargs.pop("now", False)
assert not (queue_flag and now_flag), "'queue' and 'now' cannot both be True."
if queue_flag:
return queue(*args, **kwargs)
elif now_flag:
return send_now(*args, **kwargs)
else:
if QUEUE_ALL:
return queue(*args, **kwargs)
else:
return send_now(*args, **kwargs)
|
def send(*args, **kwargs):
"""
A basic interface around both queue and send_now. This honors a global
flag NOTIFICATION_QUEUE_ALL that helps determine whether all calls should
be queued or not. A per call ``queue`` or ``now`` keyword argument can be
used to always override the default global behavior.
"""
queue_flag = kwargs.pop("queue", False)
now_flag = kwargs.pop("now", False)
assert not (queue_flag and now_flag), "'queue' and 'now' cannot both be True."
if queue_flag:
return queue(*args, **kwargs)
elif now_flag:
return send_now(*args, **kwargs)
else:
if QUEUE_ALL:
return queue(*args, **kwargs)
else:
return send_now(*args, **kwargs)
|
[
"A",
"basic",
"interface",
"around",
"both",
"queue",
"and",
"send_now",
".",
"This",
"honors",
"a",
"global",
"flag",
"NOTIFICATION_QUEUE_ALL",
"that",
"helps",
"determine",
"whether",
"all",
"calls",
"should",
"be",
"queued",
"or",
"not",
".",
"A",
"per",
"call",
"queue",
"or",
"now",
"keyword",
"argument",
"can",
"be",
"used",
"to",
"always",
"override",
"the",
"default",
"global",
"behavior",
"."
] |
GeoNode/geonode-notification
|
python
|
https://github.com/GeoNode/geonode-notification/blob/c60bc28f16f5d0e62536e76c17d6944a79449ef1/notification/models.py#L177-L195
|
[
"def",
"send",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"queue_flag",
"=",
"kwargs",
".",
"pop",
"(",
"\"queue\"",
",",
"False",
")",
"now_flag",
"=",
"kwargs",
".",
"pop",
"(",
"\"now\"",
",",
"False",
")",
"assert",
"not",
"(",
"queue_flag",
"and",
"now_flag",
")",
",",
"\"'queue' and 'now' cannot both be True.\"",
"if",
"queue_flag",
":",
"return",
"queue",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
"elif",
"now_flag",
":",
"return",
"send_now",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
"else",
":",
"if",
"QUEUE_ALL",
":",
"return",
"queue",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
"else",
":",
"return",
"send_now",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")"
] |
c60bc28f16f5d0e62536e76c17d6944a79449ef1
|
valid
|
queue
|
Queue the notification in NoticeQueueBatch. This allows for large amounts
of user notifications to be deferred to a seperate process running outside
the webserver.
|
notification/models.py
|
def queue(users, label, extra_context=None, sender=None):
"""
Queue the notification in NoticeQueueBatch. This allows for large amounts
of user notifications to be deferred to a seperate process running outside
the webserver.
"""
if extra_context is None:
extra_context = {}
if isinstance(users, QuerySet):
users = [row["pk"] for row in users.values("pk")]
else:
users = [user.pk for user in users]
notices = []
for user in users:
notices.append((user, label, extra_context, sender))
NoticeQueueBatch(pickled_data=base64.b64encode(pickle.dumps(notices))).save()
|
def queue(users, label, extra_context=None, sender=None):
"""
Queue the notification in NoticeQueueBatch. This allows for large amounts
of user notifications to be deferred to a seperate process running outside
the webserver.
"""
if extra_context is None:
extra_context = {}
if isinstance(users, QuerySet):
users = [row["pk"] for row in users.values("pk")]
else:
users = [user.pk for user in users]
notices = []
for user in users:
notices.append((user, label, extra_context, sender))
NoticeQueueBatch(pickled_data=base64.b64encode(pickle.dumps(notices))).save()
|
[
"Queue",
"the",
"notification",
"in",
"NoticeQueueBatch",
".",
"This",
"allows",
"for",
"large",
"amounts",
"of",
"user",
"notifications",
"to",
"be",
"deferred",
"to",
"a",
"seperate",
"process",
"running",
"outside",
"the",
"webserver",
"."
] |
GeoNode/geonode-notification
|
python
|
https://github.com/GeoNode/geonode-notification/blob/c60bc28f16f5d0e62536e76c17d6944a79449ef1/notification/models.py#L198-L213
|
[
"def",
"queue",
"(",
"users",
",",
"label",
",",
"extra_context",
"=",
"None",
",",
"sender",
"=",
"None",
")",
":",
"if",
"extra_context",
"is",
"None",
":",
"extra_context",
"=",
"{",
"}",
"if",
"isinstance",
"(",
"users",
",",
"QuerySet",
")",
":",
"users",
"=",
"[",
"row",
"[",
"\"pk\"",
"]",
"for",
"row",
"in",
"users",
".",
"values",
"(",
"\"pk\"",
")",
"]",
"else",
":",
"users",
"=",
"[",
"user",
".",
"pk",
"for",
"user",
"in",
"users",
"]",
"notices",
"=",
"[",
"]",
"for",
"user",
"in",
"users",
":",
"notices",
".",
"append",
"(",
"(",
"user",
",",
"label",
",",
"extra_context",
",",
"sender",
")",
")",
"NoticeQueueBatch",
"(",
"pickled_data",
"=",
"base64",
".",
"b64encode",
"(",
"pickle",
".",
"dumps",
"(",
"notices",
")",
")",
")",
".",
"save",
"(",
")"
] |
c60bc28f16f5d0e62536e76c17d6944a79449ef1
|
valid
|
write_table_pair_potential
|
A helper function to write lammps pair potentials to string. Assumes that
functions are vectorized.
Parameters
----------
func: function
A function that will be evaluated for the force at each radius. Required to
be numpy vectorizable.
dfunc: function
Optional. A function that will be evaluated for the energy at each
radius. If not supplied the centered difference method will be
used. Required to be numpy vectorizable.
bounds: tuple, list
Optional. specifies min and max radius to evaluate the
potential. Default 1 length unit, 10 length unit.
samples: int
Number of points to evaluate potential. Default 1000. Note that
a low number of sample points will reduce accuracy.
tollerance: float
Value used to centered difference differentiation.
keyword: string
Lammps keyword to use to pair potential. This keyword will need
to be used in the lammps pair_coeff. Default ``PAIR``
filename: string
Optional. filename to write lammps table potential as. Default
``lammps.table`` it is highly recomended to change the value.
A file for each unique pair potential is required.
|
lammps/potential.py
|
def write_table_pair_potential(func, dfunc=None, bounds=(1.0, 10.0), samples=1000, tollerance=1e-6, keyword='PAIR'):
"""A helper function to write lammps pair potentials to string. Assumes that
functions are vectorized.
Parameters
----------
func: function
A function that will be evaluated for the force at each radius. Required to
be numpy vectorizable.
dfunc: function
Optional. A function that will be evaluated for the energy at each
radius. If not supplied the centered difference method will be
used. Required to be numpy vectorizable.
bounds: tuple, list
Optional. specifies min and max radius to evaluate the
potential. Default 1 length unit, 10 length unit.
samples: int
Number of points to evaluate potential. Default 1000. Note that
a low number of sample points will reduce accuracy.
tollerance: float
Value used to centered difference differentiation.
keyword: string
Lammps keyword to use to pair potential. This keyword will need
to be used in the lammps pair_coeff. Default ``PAIR``
filename: string
Optional. filename to write lammps table potential as. Default
``lammps.table`` it is highly recomended to change the value.
A file for each unique pair potential is required.
"""
r_min, r_max = bounds
if dfunc is None:
dfunc = lambda r: (func(r+tollerance) - func(r-tollerance)) / (2*tollerance)
i = np.arange(1, samples+1)
r = np.linspace(r_min, r_max, samples)
forces = func(r)
energies = dfunc(r)
lines = ['%d %f %f %f\n' % (index, radius, force, energy) for index, radius, force, energy in zip(i, r, forces, energies)]
return "%s\nN %d\n\n" % (keyword, samples) + ''.join(lines)
|
def write_table_pair_potential(func, dfunc=None, bounds=(1.0, 10.0), samples=1000, tollerance=1e-6, keyword='PAIR'):
"""A helper function to write lammps pair potentials to string. Assumes that
functions are vectorized.
Parameters
----------
func: function
A function that will be evaluated for the force at each radius. Required to
be numpy vectorizable.
dfunc: function
Optional. A function that will be evaluated for the energy at each
radius. If not supplied the centered difference method will be
used. Required to be numpy vectorizable.
bounds: tuple, list
Optional. specifies min and max radius to evaluate the
potential. Default 1 length unit, 10 length unit.
samples: int
Number of points to evaluate potential. Default 1000. Note that
a low number of sample points will reduce accuracy.
tollerance: float
Value used to centered difference differentiation.
keyword: string
Lammps keyword to use to pair potential. This keyword will need
to be used in the lammps pair_coeff. Default ``PAIR``
filename: string
Optional. filename to write lammps table potential as. Default
``lammps.table`` it is highly recomended to change the value.
A file for each unique pair potential is required.
"""
r_min, r_max = bounds
if dfunc is None:
dfunc = lambda r: (func(r+tollerance) - func(r-tollerance)) / (2*tollerance)
i = np.arange(1, samples+1)
r = np.linspace(r_min, r_max, samples)
forces = func(r)
energies = dfunc(r)
lines = ['%d %f %f %f\n' % (index, radius, force, energy) for index, radius, force, energy in zip(i, r, forces, energies)]
return "%s\nN %d\n\n" % (keyword, samples) + ''.join(lines)
|
[
"A",
"helper",
"function",
"to",
"write",
"lammps",
"pair",
"potentials",
"to",
"string",
".",
"Assumes",
"that",
"functions",
"are",
"vectorized",
"."
] |
costrouc/lammps-cython
|
python
|
https://github.com/costrouc/lammps-cython/blob/90f05d8b95fdf02005af8856f20f1c093c479ca3/lammps/potential.py#L4-L43
|
[
"def",
"write_table_pair_potential",
"(",
"func",
",",
"dfunc",
"=",
"None",
",",
"bounds",
"=",
"(",
"1.0",
",",
"10.0",
")",
",",
"samples",
"=",
"1000",
",",
"tollerance",
"=",
"1e-6",
",",
"keyword",
"=",
"'PAIR'",
")",
":",
"r_min",
",",
"r_max",
"=",
"bounds",
"if",
"dfunc",
"is",
"None",
":",
"dfunc",
"=",
"lambda",
"r",
":",
"(",
"func",
"(",
"r",
"+",
"tollerance",
")",
"-",
"func",
"(",
"r",
"-",
"tollerance",
")",
")",
"/",
"(",
"2",
"*",
"tollerance",
")",
"i",
"=",
"np",
".",
"arange",
"(",
"1",
",",
"samples",
"+",
"1",
")",
"r",
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"np",
".",
"linspace",
"(",
"r_min",
",",
"r_max",
",",
"samples",
")",
"forces",
"=",
"func",
"(",
"r",
")",
"energies",
"=",
"dfunc",
"(",
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")",
"lines",
"=",
"[",
"'%d %f %f %f\\n'",
"%",
"(",
"index",
",",
"radius",
",",
"force",
",",
"energy",
")",
"for",
"index",
",",
"radius",
",",
"force",
",",
"energy",
"in",
"zip",
"(",
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",",
"r",
",",
"forces",
",",
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")",
"]",
"return",
"\"%s\\nN %d\\n\\n\"",
"%",
"(",
"keyword",
",",
"samples",
")",
"+",
"''",
".",
"join",
"(",
"lines",
")"
] |
90f05d8b95fdf02005af8856f20f1c093c479ca3
|
valid
|
write_tersoff_potential
|
Write tersoff potential file from parameters to string
Parameters
----------
parameters: dict
keys are tuple of elements with the values being the parameters length 14
|
lammps/potential.py
|
def write_tersoff_potential(parameters):
"""Write tersoff potential file from parameters to string
Parameters
----------
parameters: dict
keys are tuple of elements with the values being the parameters length 14
"""
lines = []
for (e1, e2, e3), params in parameters.items():
if len(params) != 14:
raise ValueError('tersoff three body potential expects 14 parameters')
lines.append(' '.join([e1, e2, e3] + ['{:16.8g}'.format(_) for _ in params]))
return '\n'.join(lines)
|
def write_tersoff_potential(parameters):
"""Write tersoff potential file from parameters to string
Parameters
----------
parameters: dict
keys are tuple of elements with the values being the parameters length 14
"""
lines = []
for (e1, e2, e3), params in parameters.items():
if len(params) != 14:
raise ValueError('tersoff three body potential expects 14 parameters')
lines.append(' '.join([e1, e2, e3] + ['{:16.8g}'.format(_) for _ in params]))
return '\n'.join(lines)
|
[
"Write",
"tersoff",
"potential",
"file",
"from",
"parameters",
"to",
"string"
] |
costrouc/lammps-cython
|
python
|
https://github.com/costrouc/lammps-cython/blob/90f05d8b95fdf02005af8856f20f1c093c479ca3/lammps/potential.py#L46-L59
|
[
"def",
"write_tersoff_potential",
"(",
"parameters",
")",
":",
"lines",
"=",
"[",
"]",
"for",
"(",
"e1",
",",
"e2",
",",
"e3",
")",
",",
"params",
"in",
"parameters",
".",
"items",
"(",
")",
":",
"if",
"len",
"(",
"params",
")",
"!=",
"14",
":",
"raise",
"ValueError",
"(",
"'tersoff three body potential expects 14 parameters'",
")",
"lines",
".",
"append",
"(",
"' '",
".",
"join",
"(",
"[",
"e1",
",",
"e2",
",",
"e3",
"]",
"+",
"[",
"'{:16.8g}'",
".",
"format",
"(",
"_",
")",
"for",
"_",
"in",
"params",
"]",
")",
")",
"return",
"'\\n'",
".",
"join",
"(",
"lines",
")"
] |
90f05d8b95fdf02005af8856f20f1c093c479ca3
|
valid
|
GroupedDataFrame.subset
|
Subset only some of the columns of the DataFrame.
:param args: list of column names of the object that should be subsetted
:type args: tuple
:return: returns DataFrame with only the columns you selected
:rtype: DataFrame
|
dataframe/grouped_dataframe.py
|
def subset(self, *args):
"""
Subset only some of the columns of the DataFrame.
:param args: list of column names of the object that should be subsetted
:type args: tuple
:return: returns DataFrame with only the columns you selected
:rtype: DataFrame
"""
args = list(args)
args.extend([x for x in
self.__grouping.grouping_colnames if x not in args])
return GroupedDataFrame(self.__grouping.ungroup().subset(*args),
*self.__grouping.grouping_colnames)
|
def subset(self, *args):
"""
Subset only some of the columns of the DataFrame.
:param args: list of column names of the object that should be subsetted
:type args: tuple
:return: returns DataFrame with only the columns you selected
:rtype: DataFrame
"""
args = list(args)
args.extend([x for x in
self.__grouping.grouping_colnames if x not in args])
return GroupedDataFrame(self.__grouping.ungroup().subset(*args),
*self.__grouping.grouping_colnames)
|
[
"Subset",
"only",
"some",
"of",
"the",
"columns",
"of",
"the",
"DataFrame",
"."
] |
dirmeier/dataframe
|
python
|
https://github.com/dirmeier/dataframe/blob/39992e23293393cc1320d1b9c1c8d2c325fc5626/dataframe/grouped_dataframe.py#L92-L105
|
[
"def",
"subset",
"(",
"self",
",",
"*",
"args",
")",
":",
"args",
"=",
"list",
"(",
"args",
")",
"args",
".",
"extend",
"(",
"[",
"x",
"for",
"x",
"in",
"self",
".",
"__grouping",
".",
"grouping_colnames",
"if",
"x",
"not",
"in",
"args",
"]",
")",
"return",
"GroupedDataFrame",
"(",
"self",
".",
"__grouping",
".",
"ungroup",
"(",
")",
".",
"subset",
"(",
"*",
"args",
")",
",",
"*",
"self",
".",
"__grouping",
".",
"grouping_colnames",
")"
] |
39992e23293393cc1320d1b9c1c8d2c325fc5626
|
valid
|
GroupedDataFrame.modify
|
Modify some columns (i.e. apply a function)
and add the result to the table.
:param clazz: name of a class that extends class Callable
:type clazz: class
:param new_col: name of the new column
:type new_col: str
:param args: list of column names of the object that
function should be applied to
:type args: tuple
:return: returns a new GroupedDataFrame object with the modified
values, i.e. the new column of values
:rtype: GroupedDataFrame
|
dataframe/grouped_dataframe.py
|
def modify(self, clazz, new_col, *args):
"""
Modify some columns (i.e. apply a function)
and add the result to the table.
:param clazz: name of a class that extends class Callable
:type clazz: class
:param new_col: name of the new column
:type new_col: str
:param args: list of column names of the object that
function should be applied to
:type args: tuple
:return: returns a new GroupedDataFrame object with the modified
values, i.e. the new column of values
:rtype: GroupedDataFrame
"""
if is_callable(clazz) \
and not is_none(new_col) \
and has_elements(*args) \
and is_disjoint(self.__grouping.grouping_colnames,
args,
__DISJOINT_SETS_ERROR__):
return self.__do_modify(clazz, new_col, *args)
|
def modify(self, clazz, new_col, *args):
"""
Modify some columns (i.e. apply a function)
and add the result to the table.
:param clazz: name of a class that extends class Callable
:type clazz: class
:param new_col: name of the new column
:type new_col: str
:param args: list of column names of the object that
function should be applied to
:type args: tuple
:return: returns a new GroupedDataFrame object with the modified
values, i.e. the new column of values
:rtype: GroupedDataFrame
"""
if is_callable(clazz) \
and not is_none(new_col) \
and has_elements(*args) \
and is_disjoint(self.__grouping.grouping_colnames,
args,
__DISJOINT_SETS_ERROR__):
return self.__do_modify(clazz, new_col, *args)
|
[
"Modify",
"some",
"columns",
"(",
"i",
".",
"e",
".",
"apply",
"a",
"function",
")",
"and",
"add",
"the",
"result",
"to",
"the",
"table",
"."
] |
dirmeier/dataframe
|
python
|
https://github.com/dirmeier/dataframe/blob/39992e23293393cc1320d1b9c1c8d2c325fc5626/dataframe/grouped_dataframe.py#L121-L143
|
[
"def",
"modify",
"(",
"self",
",",
"clazz",
",",
"new_col",
",",
"*",
"args",
")",
":",
"if",
"is_callable",
"(",
"clazz",
")",
"and",
"not",
"is_none",
"(",
"new_col",
")",
"and",
"has_elements",
"(",
"*",
"args",
")",
"and",
"is_disjoint",
"(",
"self",
".",
"__grouping",
".",
"grouping_colnames",
",",
"args",
",",
"__DISJOINT_SETS_ERROR__",
")",
":",
"return",
"self",
".",
"__do_modify",
"(",
"clazz",
",",
"new_col",
",",
"*",
"args",
")"
] |
39992e23293393cc1320d1b9c1c8d2c325fc5626
|
valid
|
GroupedDataFrame.aggregate
|
Aggregate the rows of each group into a single value.
:param clazz: name of a class that extends class Callable
:type clazz: class
:param new_col: name of the new column
:type new_col: str
:param args: list of column names of the object that
function should be applied to
:type args: varargs
:return: returns a new dataframe object with the aggregated value
:rtype: DataFrame
|
dataframe/grouped_dataframe.py
|
def aggregate(self, clazz, new_col, *args):
"""
Aggregate the rows of each group into a single value.
:param clazz: name of a class that extends class Callable
:type clazz: class
:param new_col: name of the new column
:type new_col: str
:param args: list of column names of the object that
function should be applied to
:type args: varargs
:return: returns a new dataframe object with the aggregated value
:rtype: DataFrame
"""
if is_callable(clazz) \
and not is_none(new_col) \
and has_elements(*args) \
and is_disjoint(self.__grouping.grouping_colnames,
args,
__DISJOINT_SETS_ERROR__):
return self.__do_aggregate(clazz, new_col, *args)
|
def aggregate(self, clazz, new_col, *args):
"""
Aggregate the rows of each group into a single value.
:param clazz: name of a class that extends class Callable
:type clazz: class
:param new_col: name of the new column
:type new_col: str
:param args: list of column names of the object that
function should be applied to
:type args: varargs
:return: returns a new dataframe object with the aggregated value
:rtype: DataFrame
"""
if is_callable(clazz) \
and not is_none(new_col) \
and has_elements(*args) \
and is_disjoint(self.__grouping.grouping_colnames,
args,
__DISJOINT_SETS_ERROR__):
return self.__do_aggregate(clazz, new_col, *args)
|
[
"Aggregate",
"the",
"rows",
"of",
"each",
"group",
"into",
"a",
"single",
"value",
"."
] |
dirmeier/dataframe
|
python
|
https://github.com/dirmeier/dataframe/blob/39992e23293393cc1320d1b9c1c8d2c325fc5626/dataframe/grouped_dataframe.py#L159-L179
|
[
"def",
"aggregate",
"(",
"self",
",",
"clazz",
",",
"new_col",
",",
"*",
"args",
")",
":",
"if",
"is_callable",
"(",
"clazz",
")",
"and",
"not",
"is_none",
"(",
"new_col",
")",
"and",
"has_elements",
"(",
"*",
"args",
")",
"and",
"is_disjoint",
"(",
"self",
".",
"__grouping",
".",
"grouping_colnames",
",",
"args",
",",
"__DISJOINT_SETS_ERROR__",
")",
":",
"return",
"self",
".",
"__do_aggregate",
"(",
"clazz",
",",
"new_col",
",",
"*",
"args",
")"
] |
39992e23293393cc1320d1b9c1c8d2c325fc5626
|
valid
|
reader
|
Make LTSV Reader for reading selected labels.
:param ltsvfile: iterable of lines.
:param labels: sequence of labels. (optional)
:return: generator of record in [[label, value], ...] form.
|
ltsv/_reader.py
|
def reader(ltsvfile, labels=None):
"""Make LTSV Reader for reading selected labels.
:param ltsvfile: iterable of lines.
:param labels: sequence of labels. (optional)
:return: generator of record in [[label, value], ...] form.
"""
label_pattern = re.compile(r"^[0-9A-Za-z_.-]+:")
if labels is not None:
prefixes = tuple(L + ':' for L in labels
if label_pattern.match(L + ':'))
for record in ltsvfile:
record = record.rstrip('\r\n')
yield [x.split(':', 1) for x in record.split('\t')
if x.startswith(prefixes)]
return
for record in ltsvfile:
record = record.rstrip('\r\n')
yield [x.split(':', 1) for x in record.split('\t')
if label_pattern.match(x)]
|
def reader(ltsvfile, labels=None):
"""Make LTSV Reader for reading selected labels.
:param ltsvfile: iterable of lines.
:param labels: sequence of labels. (optional)
:return: generator of record in [[label, value], ...] form.
"""
label_pattern = re.compile(r"^[0-9A-Za-z_.-]+:")
if labels is not None:
prefixes = tuple(L + ':' for L in labels
if label_pattern.match(L + ':'))
for record in ltsvfile:
record = record.rstrip('\r\n')
yield [x.split(':', 1) for x in record.split('\t')
if x.startswith(prefixes)]
return
for record in ltsvfile:
record = record.rstrip('\r\n')
yield [x.split(':', 1) for x in record.split('\t')
if label_pattern.match(x)]
|
[
"Make",
"LTSV",
"Reader",
"for",
"reading",
"selected",
"labels",
"."
] |
hekyou/python-ltsv
|
python
|
https://github.com/hekyou/python-ltsv/blob/fd5e9c82c28da666d1dbdb3318f6e90d86143ff8/ltsv/_reader.py#L5-L26
|
[
"def",
"reader",
"(",
"ltsvfile",
",",
"labels",
"=",
"None",
")",
":",
"label_pattern",
"=",
"re",
".",
"compile",
"(",
"r\"^[0-9A-Za-z_.-]+:\"",
")",
"if",
"labels",
"is",
"not",
"None",
":",
"prefixes",
"=",
"tuple",
"(",
"L",
"+",
"':'",
"for",
"L",
"in",
"labels",
"if",
"label_pattern",
".",
"match",
"(",
"L",
"+",
"':'",
")",
")",
"for",
"record",
"in",
"ltsvfile",
":",
"record",
"=",
"record",
".",
"rstrip",
"(",
"'\\r\\n'",
")",
"yield",
"[",
"x",
".",
"split",
"(",
"':'",
",",
"1",
")",
"for",
"x",
"in",
"record",
".",
"split",
"(",
"'\\t'",
")",
"if",
"x",
".",
"startswith",
"(",
"prefixes",
")",
"]",
"return",
"for",
"record",
"in",
"ltsvfile",
":",
"record",
"=",
"record",
".",
"rstrip",
"(",
"'\\r\\n'",
")",
"yield",
"[",
"x",
".",
"split",
"(",
"':'",
",",
"1",
")",
"for",
"x",
"in",
"record",
".",
"split",
"(",
"'\\t'",
")",
"if",
"label_pattern",
".",
"match",
"(",
"x",
")",
"]"
] |
fd5e9c82c28da666d1dbdb3318f6e90d86143ff8
|
valid
|
DictReader
|
Make LTSV Reader for reading selected labels.
:param ltsvfile: iterable of lines.
:param labels: sequence of labels.
:return: generator of record in {label: value, ...} form.
|
ltsv/_reader.py
|
def DictReader(ltsvfile, labels=None, dict_type=dict):
"""Make LTSV Reader for reading selected labels.
:param ltsvfile: iterable of lines.
:param labels: sequence of labels.
:return: generator of record in {label: value, ...} form.
"""
for rec in reader(ltsvfile, labels):
yield dict_type(rec)
|
def DictReader(ltsvfile, labels=None, dict_type=dict):
"""Make LTSV Reader for reading selected labels.
:param ltsvfile: iterable of lines.
:param labels: sequence of labels.
:return: generator of record in {label: value, ...} form.
"""
for rec in reader(ltsvfile, labels):
yield dict_type(rec)
|
[
"Make",
"LTSV",
"Reader",
"for",
"reading",
"selected",
"labels",
"."
] |
hekyou/python-ltsv
|
python
|
https://github.com/hekyou/python-ltsv/blob/fd5e9c82c28da666d1dbdb3318f6e90d86143ff8/ltsv/_reader.py#L28-L36
|
[
"def",
"DictReader",
"(",
"ltsvfile",
",",
"labels",
"=",
"None",
",",
"dict_type",
"=",
"dict",
")",
":",
"for",
"rec",
"in",
"reader",
"(",
"ltsvfile",
",",
"labels",
")",
":",
"yield",
"dict_type",
"(",
"rec",
")"
] |
fd5e9c82c28da666d1dbdb3318f6e90d86143ff8
|
valid
|
is_disjoint
|
Checks if elements of set2 are in set1.
:param set1: a set of values
:param set2: a set of values
:param warn: the error message that should be thrown
when the sets are NOT disjoint
:return: returns true no elements of set2 are in set1
|
dataframe/_check.py
|
def is_disjoint(set1, set2, warn):
"""
Checks if elements of set2 are in set1.
:param set1: a set of values
:param set2: a set of values
:param warn: the error message that should be thrown
when the sets are NOT disjoint
:return: returns true no elements of set2 are in set1
"""
for elem in set2:
if elem in set1:
raise ValueError(warn)
return True
|
def is_disjoint(set1, set2, warn):
"""
Checks if elements of set2 are in set1.
:param set1: a set of values
:param set2: a set of values
:param warn: the error message that should be thrown
when the sets are NOT disjoint
:return: returns true no elements of set2 are in set1
"""
for elem in set2:
if elem in set1:
raise ValueError(warn)
return True
|
[
"Checks",
"if",
"elements",
"of",
"set2",
"are",
"in",
"set1",
"."
] |
dirmeier/dataframe
|
python
|
https://github.com/dirmeier/dataframe/blob/39992e23293393cc1320d1b9c1c8d2c325fc5626/dataframe/_check.py#L64-L77
|
[
"def",
"is_disjoint",
"(",
"set1",
",",
"set2",
",",
"warn",
")",
":",
"for",
"elem",
"in",
"set2",
":",
"if",
"elem",
"in",
"set1",
":",
"raise",
"ValueError",
"(",
"warn",
")",
"return",
"True"
] |
39992e23293393cc1320d1b9c1c8d2c325fc5626
|
valid
|
contains_all
|
Checks if all elements from set2 are in set1.
:param set1: a set of values
:param set2: a set of values
:param warn: the error message that should be thrown
when the sets are not containd
:return: returns true if all values of set2 are in set1
|
dataframe/_check.py
|
def contains_all(set1, set2, warn):
"""
Checks if all elements from set2 are in set1.
:param set1: a set of values
:param set2: a set of values
:param warn: the error message that should be thrown
when the sets are not containd
:return: returns true if all values of set2 are in set1
"""
for elem in set2:
if elem not in set1:
raise ValueError(warn)
return True
|
def contains_all(set1, set2, warn):
"""
Checks if all elements from set2 are in set1.
:param set1: a set of values
:param set2: a set of values
:param warn: the error message that should be thrown
when the sets are not containd
:return: returns true if all values of set2 are in set1
"""
for elem in set2:
if elem not in set1:
raise ValueError(warn)
return True
|
[
"Checks",
"if",
"all",
"elements",
"from",
"set2",
"are",
"in",
"set1",
"."
] |
dirmeier/dataframe
|
python
|
https://github.com/dirmeier/dataframe/blob/39992e23293393cc1320d1b9c1c8d2c325fc5626/dataframe/_check.py#L80-L93
|
[
"def",
"contains_all",
"(",
"set1",
",",
"set2",
",",
"warn",
")",
":",
"for",
"elem",
"in",
"set2",
":",
"if",
"elem",
"not",
"in",
"set1",
":",
"raise",
"ValueError",
"(",
"warn",
")",
"return",
"True"
] |
39992e23293393cc1320d1b9c1c8d2c325fc5626
|
valid
|
MARCXMLSerializer.to_XML
|
Serialize object back to XML string.
Returns:
str: String which should be same as original input, if everything\
works as expected.
|
src/marcxml_parser/serializer.py
|
def to_XML(self):
"""
Serialize object back to XML string.
Returns:
str: String which should be same as original input, if everything\
works as expected.
"""
marcxml_template = """<record xmlns="http://www.loc.gov/MARC21/slim/"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://www.loc.gov/MARC21/slim
http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
$LEADER
$CONTROL_FIELDS
$DATA_FIELDS
</record>
"""
oai_template = """<record>
<metadata>
<oai_marc>
$LEADER$CONTROL_FIELDS
$DATA_FIELDS
</oai_marc>
</metadata>
</record>
"""
# serialize leader, if it is present and record is marc xml
leader = self.leader if self.leader is not None else ""
if leader: # print only visible leaders
leader = "<leader>" + leader + "</leader>"
# discard leader for oai
if self.oai_marc:
leader = ""
# serialize
xml_template = oai_template if self.oai_marc else marcxml_template
xml_output = Template(xml_template).substitute(
LEADER=leader.strip(),
CONTROL_FIELDS=self._serialize_ctl_fields().strip(),
DATA_FIELDS=self._serialize_data_fields().strip()
)
return xml_output
|
def to_XML(self):
"""
Serialize object back to XML string.
Returns:
str: String which should be same as original input, if everything\
works as expected.
"""
marcxml_template = """<record xmlns="http://www.loc.gov/MARC21/slim/"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://www.loc.gov/MARC21/slim
http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
$LEADER
$CONTROL_FIELDS
$DATA_FIELDS
</record>
"""
oai_template = """<record>
<metadata>
<oai_marc>
$LEADER$CONTROL_FIELDS
$DATA_FIELDS
</oai_marc>
</metadata>
</record>
"""
# serialize leader, if it is present and record is marc xml
leader = self.leader if self.leader is not None else ""
if leader: # print only visible leaders
leader = "<leader>" + leader + "</leader>"
# discard leader for oai
if self.oai_marc:
leader = ""
# serialize
xml_template = oai_template if self.oai_marc else marcxml_template
xml_output = Template(xml_template).substitute(
LEADER=leader.strip(),
CONTROL_FIELDS=self._serialize_ctl_fields().strip(),
DATA_FIELDS=self._serialize_data_fields().strip()
)
return xml_output
|
[
"Serialize",
"object",
"back",
"to",
"XML",
"string",
"."
] |
edeposit/marcxml_parser
|
python
|
https://github.com/edeposit/marcxml_parser/blob/6d1c77c61fc2827b71f1b3d5aa3332d7f5807820/src/marcxml_parser/serializer.py#L105-L150
|
[
"def",
"to_XML",
"(",
"self",
")",
":",
"marcxml_template",
"=",
"\"\"\"<record xmlns=\"http://www.loc.gov/MARC21/slim/\"\nxmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\"\nxsi:schemaLocation=\"http://www.loc.gov/MARC21/slim\nhttp://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd\">\n$LEADER\n$CONTROL_FIELDS\n$DATA_FIELDS\n</record>\n\"\"\"",
"oai_template",
"=",
"\"\"\"<record>\n<metadata>\n<oai_marc>\n$LEADER$CONTROL_FIELDS\n$DATA_FIELDS\n</oai_marc>\n</metadata>\n</record>\n\"\"\"",
"# serialize leader, if it is present and record is marc xml",
"leader",
"=",
"self",
".",
"leader",
"if",
"self",
".",
"leader",
"is",
"not",
"None",
"else",
"\"\"",
"if",
"leader",
":",
"# print only visible leaders",
"leader",
"=",
"\"<leader>\"",
"+",
"leader",
"+",
"\"</leader>\"",
"# discard leader for oai",
"if",
"self",
".",
"oai_marc",
":",
"leader",
"=",
"\"\"",
"# serialize",
"xml_template",
"=",
"oai_template",
"if",
"self",
".",
"oai_marc",
"else",
"marcxml_template",
"xml_output",
"=",
"Template",
"(",
"xml_template",
")",
".",
"substitute",
"(",
"LEADER",
"=",
"leader",
".",
"strip",
"(",
")",
",",
"CONTROL_FIELDS",
"=",
"self",
".",
"_serialize_ctl_fields",
"(",
")",
".",
"strip",
"(",
")",
",",
"DATA_FIELDS",
"=",
"self",
".",
"_serialize_data_fields",
"(",
")",
".",
"strip",
"(",
")",
")",
"return",
"xml_output"
] |
6d1c77c61fc2827b71f1b3d5aa3332d7f5807820
|
valid
|
MARCXMLParser._parse_string
|
Parse MARC XML document to dicts, which are contained in
self.controlfields and self.datafields.
Args:
xml (str or HTMLElement): input data
Also detect if this is oai marc format or not (see elf.oai_marc).
|
src/marcxml_parser/parser.py
|
def _parse_string(self, xml):
"""
Parse MARC XML document to dicts, which are contained in
self.controlfields and self.datafields.
Args:
xml (str or HTMLElement): input data
Also detect if this is oai marc format or not (see elf.oai_marc).
"""
if not isinstance(xml, HTMLElement):
xml = dhtmlparser.parseString(str(xml))
# check if there are any records
record = xml.find("record")
if not record:
raise ValueError("There is no <record> in your MARC XML document!")
record = record[0]
self.oai_marc = len(record.find("oai_marc")) > 0
# leader is separate only in marc21
if not self.oai_marc:
leader = record.find("leader")
if len(leader) >= 1:
self.leader = leader[0].getContent()
# parse body in respect of OAI MARC format possibility
if self.oai_marc:
self._parse_control_fields(record.find("fixfield"), "id")
self._parse_data_fields(record.find("varfield"), "id", "label")
else:
self._parse_control_fields(record.find("controlfield"), "tag")
self._parse_data_fields(record.find("datafield"), "tag", "code")
# for backward compatibility of MARC XML with OAI
if self.oai_marc and "LDR" in self.controlfields:
self.leader = self.controlfields["LDR"]
|
def _parse_string(self, xml):
"""
Parse MARC XML document to dicts, which are contained in
self.controlfields and self.datafields.
Args:
xml (str or HTMLElement): input data
Also detect if this is oai marc format or not (see elf.oai_marc).
"""
if not isinstance(xml, HTMLElement):
xml = dhtmlparser.parseString(str(xml))
# check if there are any records
record = xml.find("record")
if not record:
raise ValueError("There is no <record> in your MARC XML document!")
record = record[0]
self.oai_marc = len(record.find("oai_marc")) > 0
# leader is separate only in marc21
if not self.oai_marc:
leader = record.find("leader")
if len(leader) >= 1:
self.leader = leader[0].getContent()
# parse body in respect of OAI MARC format possibility
if self.oai_marc:
self._parse_control_fields(record.find("fixfield"), "id")
self._parse_data_fields(record.find("varfield"), "id", "label")
else:
self._parse_control_fields(record.find("controlfield"), "tag")
self._parse_data_fields(record.find("datafield"), "tag", "code")
# for backward compatibility of MARC XML with OAI
if self.oai_marc and "LDR" in self.controlfields:
self.leader = self.controlfields["LDR"]
|
[
"Parse",
"MARC",
"XML",
"document",
"to",
"dicts",
"which",
"are",
"contained",
"in",
"self",
".",
"controlfields",
"and",
"self",
".",
"datafields",
"."
] |
edeposit/marcxml_parser
|
python
|
https://github.com/edeposit/marcxml_parser/blob/6d1c77c61fc2827b71f1b3d5aa3332d7f5807820/src/marcxml_parser/parser.py#L89-L126
|
[
"def",
"_parse_string",
"(",
"self",
",",
"xml",
")",
":",
"if",
"not",
"isinstance",
"(",
"xml",
",",
"HTMLElement",
")",
":",
"xml",
"=",
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".",
"parseString",
"(",
"str",
"(",
"xml",
")",
")",
"# check if there are any records",
"record",
"=",
"xml",
".",
"find",
"(",
"\"record\"",
")",
"if",
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"record",
":",
"raise",
"ValueError",
"(",
"\"There is no <record> in your MARC XML document!\"",
")",
"record",
"=",
"record",
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"0",
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"self",
".",
"oai_marc",
"=",
"len",
"(",
"record",
".",
"find",
"(",
"\"oai_marc\"",
")",
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">",
"0",
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".",
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"(",
"\"leader\"",
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"leader",
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"leader",
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"0",
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"getContent",
"(",
")",
"# parse body in respect of OAI MARC format possibility",
"if",
"self",
".",
"oai_marc",
":",
"self",
".",
"_parse_control_fields",
"(",
"record",
".",
"find",
"(",
"\"fixfield\"",
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",",
"\"id\"",
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"self",
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"(",
"record",
".",
"find",
"(",
"\"varfield\"",
")",
",",
"\"id\"",
",",
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")",
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"(",
"record",
".",
"find",
"(",
"\"controlfield\"",
")",
",",
"\"tag\"",
")",
"self",
".",
"_parse_data_fields",
"(",
"record",
".",
"find",
"(",
"\"datafield\"",
")",
",",
"\"tag\"",
",",
"\"code\"",
")",
"# for backward compatibility of MARC XML with OAI",
"if",
"self",
".",
"oai_marc",
"and",
"\"LDR\"",
"in",
"self",
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"controlfields",
":",
"self",
".",
"leader",
"=",
"self",
".",
"controlfields",
"[",
"\"LDR\"",
"]"
] |
6d1c77c61fc2827b71f1b3d5aa3332d7f5807820
|
valid
|
MARCXMLParser._parse_control_fields
|
Parse control fields.
Args:
fields (list): list of HTMLElements
tag_id (str): parameter name, which holds the information, about
field name this is normally "tag", but in case of
oai_marc "id".
|
src/marcxml_parser/parser.py
|
def _parse_control_fields(self, fields, tag_id="tag"):
"""
Parse control fields.
Args:
fields (list): list of HTMLElements
tag_id (str): parameter name, which holds the information, about
field name this is normally "tag", but in case of
oai_marc "id".
"""
for field in fields:
params = field.params
# skip tags without parameters
if tag_id not in params:
continue
self.controlfields[params[tag_id]] = field.getContent().strip()
|
def _parse_control_fields(self, fields, tag_id="tag"):
"""
Parse control fields.
Args:
fields (list): list of HTMLElements
tag_id (str): parameter name, which holds the information, about
field name this is normally "tag", but in case of
oai_marc "id".
"""
for field in fields:
params = field.params
# skip tags without parameters
if tag_id not in params:
continue
self.controlfields[params[tag_id]] = field.getContent().strip()
|
[
"Parse",
"control",
"fields",
"."
] |
edeposit/marcxml_parser
|
python
|
https://github.com/edeposit/marcxml_parser/blob/6d1c77c61fc2827b71f1b3d5aa3332d7f5807820/src/marcxml_parser/parser.py#L128-L145
|
[
"def",
"_parse_control_fields",
"(",
"self",
",",
"fields",
",",
"tag_id",
"=",
"\"tag\"",
")",
":",
"for",
"field",
"in",
"fields",
":",
"params",
"=",
"field",
".",
"params",
"# skip tags without parameters",
"if",
"tag_id",
"not",
"in",
"params",
":",
"continue",
"self",
".",
"controlfields",
"[",
"params",
"[",
"tag_id",
"]",
"]",
"=",
"field",
".",
"getContent",
"(",
")",
".",
"strip",
"(",
")"
] |
6d1c77c61fc2827b71f1b3d5aa3332d7f5807820
|
valid
|
MARCXMLParser._parse_data_fields
|
Parse data fields.
Args:
fields (list): of HTMLElements
tag_id (str): parameter name, which holds the information, about
field name this is normally "tag", but in case of
oai_marc "id"
sub_id (str): id of parameter, which holds informations about
subfield name this is normally "code" but in case of
oai_marc "label"
|
src/marcxml_parser/parser.py
|
def _parse_data_fields(self, fields, tag_id="tag", sub_id="code"):
"""
Parse data fields.
Args:
fields (list): of HTMLElements
tag_id (str): parameter name, which holds the information, about
field name this is normally "tag", but in case of
oai_marc "id"
sub_id (str): id of parameter, which holds informations about
subfield name this is normally "code" but in case of
oai_marc "label"
"""
for field in fields:
params = field.params
if tag_id not in params:
continue
# take care of iX/indX (indicator) parameters
field_repr = OrderedDict([
[self.i1_name, params.get(self.i1_name, " ")],
[self.i2_name, params.get(self.i2_name, " ")],
])
# process all subfields
for subfield in field.find("subfield"):
if sub_id not in subfield.params:
continue
content = MARCSubrecord(
val=subfield.getContent().strip(),
i1=field_repr[self.i1_name],
i2=field_repr[self.i2_name],
other_subfields=field_repr
)
# add or append content to list of other contents
code = subfield.params[sub_id]
if code in field_repr:
field_repr[code].append(content)
else:
field_repr[code] = [content]
tag = params[tag_id]
if tag in self.datafields:
self.datafields[tag].append(field_repr)
else:
self.datafields[tag] = [field_repr]
|
def _parse_data_fields(self, fields, tag_id="tag", sub_id="code"):
"""
Parse data fields.
Args:
fields (list): of HTMLElements
tag_id (str): parameter name, which holds the information, about
field name this is normally "tag", but in case of
oai_marc "id"
sub_id (str): id of parameter, which holds informations about
subfield name this is normally "code" but in case of
oai_marc "label"
"""
for field in fields:
params = field.params
if tag_id not in params:
continue
# take care of iX/indX (indicator) parameters
field_repr = OrderedDict([
[self.i1_name, params.get(self.i1_name, " ")],
[self.i2_name, params.get(self.i2_name, " ")],
])
# process all subfields
for subfield in field.find("subfield"):
if sub_id not in subfield.params:
continue
content = MARCSubrecord(
val=subfield.getContent().strip(),
i1=field_repr[self.i1_name],
i2=field_repr[self.i2_name],
other_subfields=field_repr
)
# add or append content to list of other contents
code = subfield.params[sub_id]
if code in field_repr:
field_repr[code].append(content)
else:
field_repr[code] = [content]
tag = params[tag_id]
if tag in self.datafields:
self.datafields[tag].append(field_repr)
else:
self.datafields[tag] = [field_repr]
|
[
"Parse",
"data",
"fields",
"."
] |
edeposit/marcxml_parser
|
python
|
https://github.com/edeposit/marcxml_parser/blob/6d1c77c61fc2827b71f1b3d5aa3332d7f5807820/src/marcxml_parser/parser.py#L147-L196
|
[
"def",
"_parse_data_fields",
"(",
"self",
",",
"fields",
",",
"tag_id",
"=",
"\"tag\"",
",",
"sub_id",
"=",
"\"code\"",
")",
":",
"for",
"field",
"in",
"fields",
":",
"params",
"=",
"field",
".",
"params",
"if",
"tag_id",
"not",
"in",
"params",
":",
"continue",
"# take care of iX/indX (indicator) parameters",
"field_repr",
"=",
"OrderedDict",
"(",
"[",
"[",
"self",
".",
"i1_name",
",",
"params",
".",
"get",
"(",
"self",
".",
"i1_name",
",",
"\" \"",
")",
"]",
",",
"[",
"self",
".",
"i2_name",
",",
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".",
"get",
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"self",
".",
"i2_name",
",",
"\" \"",
")",
"]",
",",
"]",
")",
"# process all subfields",
"for",
"subfield",
"in",
"field",
".",
"find",
"(",
"\"subfield\"",
")",
":",
"if",
"sub_id",
"not",
"in",
"subfield",
".",
"params",
":",
"continue",
"content",
"=",
"MARCSubrecord",
"(",
"val",
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"subfield",
".",
"getContent",
"(",
")",
".",
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")",
",",
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"[",
"self",
".",
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"]",
",",
"i2",
"=",
"field_repr",
"[",
"self",
".",
"i2_name",
"]",
",",
"other_subfields",
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"# add or append content to list of other contents",
"code",
"=",
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"code",
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":",
"field_repr",
"[",
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"]",
".",
"append",
"(",
"content",
")",
"else",
":",
"field_repr",
"[",
"code",
"]",
"=",
"[",
"content",
"]",
"tag",
"=",
"params",
"[",
"tag_id",
"]",
"if",
"tag",
"in",
"self",
".",
"datafields",
":",
"self",
".",
"datafields",
"[",
"tag",
"]",
".",
"append",
"(",
"field_repr",
")",
"else",
":",
"self",
".",
"datafields",
"[",
"tag",
"]",
"=",
"[",
"field_repr",
"]"
] |
6d1c77c61fc2827b71f1b3d5aa3332d7f5807820
|
valid
|
MARCXMLParser.add_ctl_field
|
Add new control field `value` with under `name` into control field
dictionary :attr:`controlfields`.
|
src/marcxml_parser/parser.py
|
def add_ctl_field(self, name, value):
"""
Add new control field `value` with under `name` into control field
dictionary :attr:`controlfields`.
"""
if len(name) != 3:
raise ValueError("name parameter have to be exactly 3 chars long!")
self.controlfields[name] = value
|
def add_ctl_field(self, name, value):
"""
Add new control field `value` with under `name` into control field
dictionary :attr:`controlfields`.
"""
if len(name) != 3:
raise ValueError("name parameter have to be exactly 3 chars long!")
self.controlfields[name] = value
|
[
"Add",
"new",
"control",
"field",
"value",
"with",
"under",
"name",
"into",
"control",
"field",
"dictionary",
":",
"attr",
":",
"controlfields",
"."
] |
edeposit/marcxml_parser
|
python
|
https://github.com/edeposit/marcxml_parser/blob/6d1c77c61fc2827b71f1b3d5aa3332d7f5807820/src/marcxml_parser/parser.py#L198-L206
|
[
"def",
"add_ctl_field",
"(",
"self",
",",
"name",
",",
"value",
")",
":",
"if",
"len",
"(",
"name",
")",
"!=",
"3",
":",
"raise",
"ValueError",
"(",
"\"name parameter have to be exactly 3 chars long!\"",
")",
"self",
".",
"controlfields",
"[",
"name",
"]",
"=",
"value"
] |
6d1c77c61fc2827b71f1b3d5aa3332d7f5807820
|
valid
|
MARCXMLParser.add_data_field
|
Add new datafield into :attr:`datafields` and take care of OAI MARC
differencies.
Args:
name (str): Name of datafield.
i1 (char): Value of i1/ind1 parameter.
i2 (char): Value of i2/ind2 parameter.
subfields_dict (dict): Dictionary containing subfields (as list).
`subfields_dict` is expected to be in this format::
{
"field_id": ["subfield data",],
...
"z": ["X0456b"]
}
Warning:
For your own good, use OrderedDict for `subfields_dict`, or
constructor's `resort` parameter set to ``True`` (it is by
default).
Warning:
``field_id`` can be only one character long!
|
src/marcxml_parser/parser.py
|
def add_data_field(self, name, i1, i2, subfields_dict):
"""
Add new datafield into :attr:`datafields` and take care of OAI MARC
differencies.
Args:
name (str): Name of datafield.
i1 (char): Value of i1/ind1 parameter.
i2 (char): Value of i2/ind2 parameter.
subfields_dict (dict): Dictionary containing subfields (as list).
`subfields_dict` is expected to be in this format::
{
"field_id": ["subfield data",],
...
"z": ["X0456b"]
}
Warning:
For your own good, use OrderedDict for `subfields_dict`, or
constructor's `resort` parameter set to ``True`` (it is by
default).
Warning:
``field_id`` can be only one character long!
"""
if i1 not in self.valid_i_chars:
raise ValueError("Invalid i1 parameter '" + i1 + "'!")
if i2 not in self.valid_i_chars:
raise ValueError("Invalid i2 parameter '" + i2 + "'!")
if len(name) != 3:
raise ValueError(
"`name` parameter have to be exactly 3 chars long!"
)
if not subfields_dict:
raise ValueError(
"`subfields_dict` have to contain something!"
)
if not isinstance(subfields_dict, dict):
raise ValueError(
"`subfields_dict` parameter has to be dict instance!"
)
# check local keys, convert strings to MARCSubrecord instances
subrecords = []
for key, val in subfields_dict.items():
if len(key) > 1:
raise KeyError(
"`subfields_dict` can be only one character long!"
)
# convert other values to lists
if not isinstance(val, list):
val = [val]
subfields = map(
lambda x: MARCSubrecord(x, i1, i2, None),
val
)
subfields_dict[key] = subfields
subrecords.extend(subfields)
# save i/ind values
subfields_dict[self.i1_name] = i1
subfields_dict[self.i2_name] = i2
# append dict, or add new dict into self.datafields
if name in self.datafields:
self.datafields[name].append(subfields_dict)
else:
self.datafields[name] = [subfields_dict]
# to each subrecord add reference to list of all subfields in this
# datafield
other_subfields = self.datafields[name]
for record in subrecords:
record.other_subfields = other_subfields
|
def add_data_field(self, name, i1, i2, subfields_dict):
"""
Add new datafield into :attr:`datafields` and take care of OAI MARC
differencies.
Args:
name (str): Name of datafield.
i1 (char): Value of i1/ind1 parameter.
i2 (char): Value of i2/ind2 parameter.
subfields_dict (dict): Dictionary containing subfields (as list).
`subfields_dict` is expected to be in this format::
{
"field_id": ["subfield data",],
...
"z": ["X0456b"]
}
Warning:
For your own good, use OrderedDict for `subfields_dict`, or
constructor's `resort` parameter set to ``True`` (it is by
default).
Warning:
``field_id`` can be only one character long!
"""
if i1 not in self.valid_i_chars:
raise ValueError("Invalid i1 parameter '" + i1 + "'!")
if i2 not in self.valid_i_chars:
raise ValueError("Invalid i2 parameter '" + i2 + "'!")
if len(name) != 3:
raise ValueError(
"`name` parameter have to be exactly 3 chars long!"
)
if not subfields_dict:
raise ValueError(
"`subfields_dict` have to contain something!"
)
if not isinstance(subfields_dict, dict):
raise ValueError(
"`subfields_dict` parameter has to be dict instance!"
)
# check local keys, convert strings to MARCSubrecord instances
subrecords = []
for key, val in subfields_dict.items():
if len(key) > 1:
raise KeyError(
"`subfields_dict` can be only one character long!"
)
# convert other values to lists
if not isinstance(val, list):
val = [val]
subfields = map(
lambda x: MARCSubrecord(x, i1, i2, None),
val
)
subfields_dict[key] = subfields
subrecords.extend(subfields)
# save i/ind values
subfields_dict[self.i1_name] = i1
subfields_dict[self.i2_name] = i2
# append dict, or add new dict into self.datafields
if name in self.datafields:
self.datafields[name].append(subfields_dict)
else:
self.datafields[name] = [subfields_dict]
# to each subrecord add reference to list of all subfields in this
# datafield
other_subfields = self.datafields[name]
for record in subrecords:
record.other_subfields = other_subfields
|
[
"Add",
"new",
"datafield",
"into",
":",
"attr",
":",
"datafields",
"and",
"take",
"care",
"of",
"OAI",
"MARC",
"differencies",
"."
] |
edeposit/marcxml_parser
|
python
|
https://github.com/edeposit/marcxml_parser/blob/6d1c77c61fc2827b71f1b3d5aa3332d7f5807820/src/marcxml_parser/parser.py#L208-L288
|
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"]",
"=",
"[",
"subfields_dict",
"]",
"# to each subrecord add reference to list of all subfields in this",
"# datafield",
"other_subfields",
"=",
"self",
".",
"datafields",
"[",
"name",
"]",
"for",
"record",
"in",
"subrecords",
":",
"record",
".",
"other_subfields",
"=",
"other_subfields"
] |
6d1c77c61fc2827b71f1b3d5aa3332d7f5807820
|
valid
|
MARCXMLParser.get_i_name
|
This method is used mainly internally, but it can be handy if you work
with with raw MARC XML object and not using getters.
Args:
num (int): Which indicator you need (1/2).
is_oai (bool/None): If None, :attr:`.oai_marc` is
used.
Returns:
str: current name of ``i1``/``ind1`` parameter based on \
:attr:`oai_marc` property.
|
src/marcxml_parser/parser.py
|
def get_i_name(self, num, is_oai=None):
"""
This method is used mainly internally, but it can be handy if you work
with with raw MARC XML object and not using getters.
Args:
num (int): Which indicator you need (1/2).
is_oai (bool/None): If None, :attr:`.oai_marc` is
used.
Returns:
str: current name of ``i1``/``ind1`` parameter based on \
:attr:`oai_marc` property.
"""
if num not in (1, 2):
raise ValueError("`num` parameter have to be 1 or 2!")
if is_oai is None:
is_oai = self.oai_marc
i_name = "ind" if not is_oai else "i"
return i_name + str(num)
|
def get_i_name(self, num, is_oai=None):
"""
This method is used mainly internally, but it can be handy if you work
with with raw MARC XML object and not using getters.
Args:
num (int): Which indicator you need (1/2).
is_oai (bool/None): If None, :attr:`.oai_marc` is
used.
Returns:
str: current name of ``i1``/``ind1`` parameter based on \
:attr:`oai_marc` property.
"""
if num not in (1, 2):
raise ValueError("`num` parameter have to be 1 or 2!")
if is_oai is None:
is_oai = self.oai_marc
i_name = "ind" if not is_oai else "i"
return i_name + str(num)
|
[
"This",
"method",
"is",
"used",
"mainly",
"internally",
"but",
"it",
"can",
"be",
"handy",
"if",
"you",
"work",
"with",
"with",
"raw",
"MARC",
"XML",
"object",
"and",
"not",
"using",
"getters",
"."
] |
edeposit/marcxml_parser
|
python
|
https://github.com/edeposit/marcxml_parser/blob/6d1c77c61fc2827b71f1b3d5aa3332d7f5807820/src/marcxml_parser/parser.py#L290-L312
|
[
"def",
"get_i_name",
"(",
"self",
",",
"num",
",",
"is_oai",
"=",
"None",
")",
":",
"if",
"num",
"not",
"in",
"(",
"1",
",",
"2",
")",
":",
"raise",
"ValueError",
"(",
"\"`num` parameter have to be 1 or 2!\"",
")",
"if",
"is_oai",
"is",
"None",
":",
"is_oai",
"=",
"self",
".",
"oai_marc",
"i_name",
"=",
"\"ind\"",
"if",
"not",
"is_oai",
"else",
"\"i\"",
"return",
"i_name",
"+",
"str",
"(",
"num",
")"
] |
6d1c77c61fc2827b71f1b3d5aa3332d7f5807820
|
valid
|
MARCXMLParser.get_ctl_field
|
Method wrapper over :attr:`.controlfields` dictionary.
Args:
controlfield (str): Name of the controlfield.
alt (object, default None): Alternative value of the `controlfield`
when `controlfield` couldn't be found.
Returns:
str: record from given `controlfield`
|
src/marcxml_parser/parser.py
|
def get_ctl_field(self, controlfield, alt=None):
"""
Method wrapper over :attr:`.controlfields` dictionary.
Args:
controlfield (str): Name of the controlfield.
alt (object, default None): Alternative value of the `controlfield`
when `controlfield` couldn't be found.
Returns:
str: record from given `controlfield`
"""
if not alt:
return self.controlfields[controlfield]
return self.controlfields.get(controlfield, alt)
|
def get_ctl_field(self, controlfield, alt=None):
"""
Method wrapper over :attr:`.controlfields` dictionary.
Args:
controlfield (str): Name of the controlfield.
alt (object, default None): Alternative value of the `controlfield`
when `controlfield` couldn't be found.
Returns:
str: record from given `controlfield`
"""
if not alt:
return self.controlfields[controlfield]
return self.controlfields.get(controlfield, alt)
|
[
"Method",
"wrapper",
"over",
":",
"attr",
":",
".",
"controlfields",
"dictionary",
"."
] |
edeposit/marcxml_parser
|
python
|
https://github.com/edeposit/marcxml_parser/blob/6d1c77c61fc2827b71f1b3d5aa3332d7f5807820/src/marcxml_parser/parser.py#L328-L343
|
[
"def",
"get_ctl_field",
"(",
"self",
",",
"controlfield",
",",
"alt",
"=",
"None",
")",
":",
"if",
"not",
"alt",
":",
"return",
"self",
".",
"controlfields",
"[",
"controlfield",
"]",
"return",
"self",
".",
"controlfields",
".",
"get",
"(",
"controlfield",
",",
"alt",
")"
] |
6d1c77c61fc2827b71f1b3d5aa3332d7f5807820
|
valid
|
MARCXMLParser.getDataRecords
|
.. deprecated::
Use :func:`get_subfields` instead.
|
src/marcxml_parser/parser.py
|
def getDataRecords(self, datafield, subfield, throw_exceptions=True):
"""
.. deprecated::
Use :func:`get_subfields` instead.
"""
return self.get_subfields(
datafield=datafield,
subfield=subfield,
exception=throw_exceptions
)
|
def getDataRecords(self, datafield, subfield, throw_exceptions=True):
"""
.. deprecated::
Use :func:`get_subfields` instead.
"""
return self.get_subfields(
datafield=datafield,
subfield=subfield,
exception=throw_exceptions
)
|
[
"..",
"deprecated",
"::",
"Use",
":",
"func",
":",
"get_subfields",
"instead",
"."
] |
edeposit/marcxml_parser
|
python
|
https://github.com/edeposit/marcxml_parser/blob/6d1c77c61fc2827b71f1b3d5aa3332d7f5807820/src/marcxml_parser/parser.py#L345-L354
|
[
"def",
"getDataRecords",
"(",
"self",
",",
"datafield",
",",
"subfield",
",",
"throw_exceptions",
"=",
"True",
")",
":",
"return",
"self",
".",
"get_subfields",
"(",
"datafield",
"=",
"datafield",
",",
"subfield",
"=",
"subfield",
",",
"exception",
"=",
"throw_exceptions",
")"
] |
6d1c77c61fc2827b71f1b3d5aa3332d7f5807820
|
valid
|
MARCXMLParser.get_subfields
|
Return content of given `subfield` in `datafield`.
Args:
datafield (str): Section name (for example "001", "100", "700").
subfield (str): Subfield name (for example "a", "1", etc..).
i1 (str, default None): Optional i1/ind1 parameter value, which
will be used for search.
i2 (str, default None): Optional i2/ind2 parameter value, which
will be used for search.
exception (bool): If ``True``, :exc:`~exceptions.KeyError` is
raised when method couldn't found given `datafield` /
`subfield`. If ``False``, blank array ``[]`` is returned.
Returns:
list: of :class:`.MARCSubrecord`.
Raises:
KeyError: If the subfield or datafield couldn't be found.
Note:
MARCSubrecord is practically same thing as string, but has defined
:meth:`.MARCSubrecord.i1` and :attr:`.MARCSubrecord.i2`
methods.
You may need to be able to get this, because MARC XML depends on
i/ind parameters from time to time (names of authors for example).
|
src/marcxml_parser/parser.py
|
def get_subfields(self, datafield, subfield, i1=None, i2=None,
exception=False):
"""
Return content of given `subfield` in `datafield`.
Args:
datafield (str): Section name (for example "001", "100", "700").
subfield (str): Subfield name (for example "a", "1", etc..).
i1 (str, default None): Optional i1/ind1 parameter value, which
will be used for search.
i2 (str, default None): Optional i2/ind2 parameter value, which
will be used for search.
exception (bool): If ``True``, :exc:`~exceptions.KeyError` is
raised when method couldn't found given `datafield` /
`subfield`. If ``False``, blank array ``[]`` is returned.
Returns:
list: of :class:`.MARCSubrecord`.
Raises:
KeyError: If the subfield or datafield couldn't be found.
Note:
MARCSubrecord is practically same thing as string, but has defined
:meth:`.MARCSubrecord.i1` and :attr:`.MARCSubrecord.i2`
methods.
You may need to be able to get this, because MARC XML depends on
i/ind parameters from time to time (names of authors for example).
"""
if len(datafield) != 3:
raise ValueError(
"`datafield` parameter have to be exactly 3 chars long!"
)
if len(subfield) != 1:
raise ValueError(
"Bad subfield specification - subfield have to be 1 char long!"
)
# if datafield not found, return or raise exception
if datafield not in self.datafields:
if exception:
raise KeyError(datafield + " is not in datafields!")
return []
# look for subfield defined by `subfield`, `i1` and `i2` parameters
output = []
for datafield in self.datafields[datafield]:
if subfield not in datafield:
continue
# records are not returned just like plain string, but like
# MARCSubrecord, because you will need ind1/ind2 values
for sfield in datafield[subfield]:
if i1 and sfield.i1 != i1:
continue
if i2 and sfield.i2 != i2:
continue
output.append(sfield)
if not output and exception:
raise KeyError(subfield + " couldn't be found in subfields!")
return output
|
def get_subfields(self, datafield, subfield, i1=None, i2=None,
exception=False):
"""
Return content of given `subfield` in `datafield`.
Args:
datafield (str): Section name (for example "001", "100", "700").
subfield (str): Subfield name (for example "a", "1", etc..).
i1 (str, default None): Optional i1/ind1 parameter value, which
will be used for search.
i2 (str, default None): Optional i2/ind2 parameter value, which
will be used for search.
exception (bool): If ``True``, :exc:`~exceptions.KeyError` is
raised when method couldn't found given `datafield` /
`subfield`. If ``False``, blank array ``[]`` is returned.
Returns:
list: of :class:`.MARCSubrecord`.
Raises:
KeyError: If the subfield or datafield couldn't be found.
Note:
MARCSubrecord is practically same thing as string, but has defined
:meth:`.MARCSubrecord.i1` and :attr:`.MARCSubrecord.i2`
methods.
You may need to be able to get this, because MARC XML depends on
i/ind parameters from time to time (names of authors for example).
"""
if len(datafield) != 3:
raise ValueError(
"`datafield` parameter have to be exactly 3 chars long!"
)
if len(subfield) != 1:
raise ValueError(
"Bad subfield specification - subfield have to be 1 char long!"
)
# if datafield not found, return or raise exception
if datafield not in self.datafields:
if exception:
raise KeyError(datafield + " is not in datafields!")
return []
# look for subfield defined by `subfield`, `i1` and `i2` parameters
output = []
for datafield in self.datafields[datafield]:
if subfield not in datafield:
continue
# records are not returned just like plain string, but like
# MARCSubrecord, because you will need ind1/ind2 values
for sfield in datafield[subfield]:
if i1 and sfield.i1 != i1:
continue
if i2 and sfield.i2 != i2:
continue
output.append(sfield)
if not output and exception:
raise KeyError(subfield + " couldn't be found in subfields!")
return output
|
[
"Return",
"content",
"of",
"given",
"subfield",
"in",
"datafield",
"."
] |
edeposit/marcxml_parser
|
python
|
https://github.com/edeposit/marcxml_parser/blob/6d1c77c61fc2827b71f1b3d5aa3332d7f5807820/src/marcxml_parser/parser.py#L356-L423
|
[
"def",
"get_subfields",
"(",
"self",
",",
"datafield",
",",
"subfield",
",",
"i1",
"=",
"None",
",",
"i2",
"=",
"None",
",",
"exception",
"=",
"False",
")",
":",
"if",
"len",
"(",
"datafield",
")",
"!=",
"3",
":",
"raise",
"ValueError",
"(",
"\"`datafield` parameter have to be exactly 3 chars long!\"",
")",
"if",
"len",
"(",
"subfield",
")",
"!=",
"1",
":",
"raise",
"ValueError",
"(",
"\"Bad subfield specification - subfield have to be 1 char long!\"",
")",
"# if datafield not found, return or raise exception",
"if",
"datafield",
"not",
"in",
"self",
".",
"datafields",
":",
"if",
"exception",
":",
"raise",
"KeyError",
"(",
"datafield",
"+",
"\" is not in datafields!\"",
")",
"return",
"[",
"]",
"# look for subfield defined by `subfield`, `i1` and `i2` parameters",
"output",
"=",
"[",
"]",
"for",
"datafield",
"in",
"self",
".",
"datafields",
"[",
"datafield",
"]",
":",
"if",
"subfield",
"not",
"in",
"datafield",
":",
"continue",
"# records are not returned just like plain string, but like",
"# MARCSubrecord, because you will need ind1/ind2 values",
"for",
"sfield",
"in",
"datafield",
"[",
"subfield",
"]",
":",
"if",
"i1",
"and",
"sfield",
".",
"i1",
"!=",
"i1",
":",
"continue",
"if",
"i2",
"and",
"sfield",
".",
"i2",
"!=",
"i2",
":",
"continue",
"output",
".",
"append",
"(",
"sfield",
")",
"if",
"not",
"output",
"and",
"exception",
":",
"raise",
"KeyError",
"(",
"subfield",
"+",
"\" couldn't be found in subfields!\"",
")",
"return",
"output"
] |
6d1c77c61fc2827b71f1b3d5aa3332d7f5807820
|
valid
|
timeit_block
|
测试代码块耗时
:param unit: 时间单位，有 's','m','h' 可选（seconds，minutes，hours）
:param label: 代码块标签
|
python_utls/utils/timeit.py
|
def timeit_block(unit='s', label=""):
"""
测试代码块耗时
:param unit: 时间单位，有 's','m','h' 可选（seconds，minutes，hours）
:param label: 代码块标签
"""
start = time.time()
try:
yield
finally:
_format(unit, time.time() - start, label)
|
def timeit_block(unit='s', label=""):
"""
测试代码块耗时
:param unit: 时间单位，有 's','m','h' 可选（seconds，minutes，hours）
:param label: 代码块标签
"""
start = time.time()
try:
yield
finally:
_format(unit, time.time() - start, label)
|
[
"测试代码块耗时"
] |
chenjiandongx/python-utils
|
python
|
https://github.com/chenjiandongx/python-utils/blob/a5cfaaf11c7239122b6613189f32b7e6794b5829/python_utls/utils/timeit.py#L28-L39
|
[
"def",
"timeit_block",
"(",
"unit",
"=",
"'s'",
",",
"label",
"=",
"\"\"",
")",
":",
"start",
"=",
"time",
".",
"time",
"(",
")",
"try",
":",
"yield",
"finally",
":",
"_format",
"(",
"unit",
",",
"time",
".",
"time",
"(",
")",
"-",
"start",
",",
"label",
")"
] |
a5cfaaf11c7239122b6613189f32b7e6794b5829
|
valid
|
timeit
|
测试函数耗时
:param unit: 时间单位，有 's','m','h' 可选（seconds，minutes，hours）
|
python_utls/utils/timeit.py
|
def timeit(unit='s'):
"""
测试函数耗时
:param unit: 时间单位，有 's','m','h' 可选（seconds，minutes，hours）
"""
def wrapper(func):
@wraps(func)
def inner(*args, **kwargs):
start = time.time()
_result = func(*args, **kwargs)
_format(unit, time.time() - start, func.__name__ + '()')
return _result
return inner
return wrapper
|
def timeit(unit='s'):
"""
测试函数耗时
:param unit: 时间单位，有 's','m','h' 可选（seconds，minutes，hours）
"""
def wrapper(func):
@wraps(func)
def inner(*args, **kwargs):
start = time.time()
_result = func(*args, **kwargs)
_format(unit, time.time() - start, func.__name__ + '()')
return _result
return inner
return wrapper
|
[
"测试函数耗时"
] |
chenjiandongx/python-utils
|
python
|
https://github.com/chenjiandongx/python-utils/blob/a5cfaaf11c7239122b6613189f32b7e6794b5829/python_utls/utils/timeit.py#L42-L56
|
[
"def",
"timeit",
"(",
"unit",
"=",
"'s'",
")",
":",
"def",
"wrapper",
"(",
"func",
")",
":",
"@",
"wraps",
"(",
"func",
")",
"def",
"inner",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"start",
"=",
"time",
".",
"time",
"(",
")",
"_result",
"=",
"func",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
"_format",
"(",
"unit",
",",
"time",
".",
"time",
"(",
")",
"-",
"start",
",",
"func",
".",
"__name__",
"+",
"'()'",
")",
"return",
"_result",
"return",
"inner",
"return",
"wrapper"
] |
a5cfaaf11c7239122b6613189f32b7e6794b5829
|
valid
|
_print
|
控制输出量
|
python_utls/utils/memoryit.py
|
def _print(stats, limit, label):
"""
控制输出量
"""
print("TraceMalloc for {}".format(label))
for index, stat in enumerate(stats):
if index < limit:
print(stat)
else:
break
|
def _print(stats, limit, label):
"""
控制输出量
"""
print("TraceMalloc for {}".format(label))
for index, stat in enumerate(stats):
if index < limit:
print(stat)
else:
break
|
[
"控制输出量"
] |
chenjiandongx/python-utils
|
python
|
https://github.com/chenjiandongx/python-utils/blob/a5cfaaf11c7239122b6613189f32b7e6794b5829/python_utls/utils/memoryit.py#L10-L19
|
[
"def",
"_print",
"(",
"stats",
",",
"limit",
",",
"label",
")",
":",
"print",
"(",
"\"TraceMalloc for {}\"",
".",
"format",
"(",
"label",
")",
")",
"for",
"index",
",",
"stat",
"in",
"enumerate",
"(",
"stats",
")",
":",
"if",
"index",
"<",
"limit",
":",
"print",
"(",
"stat",
")",
"else",
":",
"break"
] |
a5cfaaf11c7239122b6613189f32b7e6794b5829
|
valid
|
memoryit
|
追踪函数内存消耗情况
:param group_by: 统计分组，有 'filename', 'lineno', 'traceback' 可选
:param limit: 限制输出行数
|
python_utls/utils/memoryit.py
|
def memoryit(group_by='lineno', limit=10):
"""
追踪函数内存消耗情况
:param group_by: 统计分组，有 'filename', 'lineno', 'traceback' 可选
:param limit: 限制输出行数
"""
def wrapper(func):
@wraps(func)
def inner(*args, **kwargs):
tracemalloc.start()
_start = tracemalloc.take_snapshot()
_result = func(*args, **kwargs)
_end = tracemalloc.take_snapshot()
stats = _end.compare_to(_start, group_by)
_print(stats, limit, func.__name__ + '()')
return _result
return inner
return wrapper
|
def memoryit(group_by='lineno', limit=10):
"""
追踪函数内存消耗情况
:param group_by: 统计分组，有 'filename', 'lineno', 'traceback' 可选
:param limit: 限制输出行数
"""
def wrapper(func):
@wraps(func)
def inner(*args, **kwargs):
tracemalloc.start()
_start = tracemalloc.take_snapshot()
_result = func(*args, **kwargs)
_end = tracemalloc.take_snapshot()
stats = _end.compare_to(_start, group_by)
_print(stats, limit, func.__name__ + '()')
return _result
return inner
return wrapper
|
[
"追踪函数内存消耗情况"
] |
chenjiandongx/python-utils
|
python
|
https://github.com/chenjiandongx/python-utils/blob/a5cfaaf11c7239122b6613189f32b7e6794b5829/python_utls/utils/memoryit.py#L22-L40
|
[
"def",
"memoryit",
"(",
"group_by",
"=",
"'lineno'",
",",
"limit",
"=",
"10",
")",
":",
"def",
"wrapper",
"(",
"func",
")",
":",
"@",
"wraps",
"(",
"func",
")",
"def",
"inner",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"tracemalloc",
".",
"start",
"(",
")",
"_start",
"=",
"tracemalloc",
".",
"take_snapshot",
"(",
")",
"_result",
"=",
"func",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
"_end",
"=",
"tracemalloc",
".",
"take_snapshot",
"(",
")",
"stats",
"=",
"_end",
".",
"compare_to",
"(",
"_start",
",",
"group_by",
")",
"_print",
"(",
"stats",
",",
"limit",
",",
"func",
".",
"__name__",
"+",
"'()'",
")",
"return",
"_result",
"return",
"inner",
"return",
"wrapper"
] |
a5cfaaf11c7239122b6613189f32b7e6794b5829
|
valid
|
memoryit_block
|
追踪代码块内存消耗情况
:param group_by: 统计分组，有 'filename', 'lineno', 'traceback' 可选
:param limit: 限制输出行数
:param label: 代码块标签
|
python_utls/utils/memoryit.py
|
def memoryit_block(group_by='lineno', limit=10, label='code block'):
"""
追踪代码块内存消耗情况
:param group_by: 统计分组，有 'filename', 'lineno', 'traceback' 可选
:param limit: 限制输出行数
:param label: 代码块标签
"""
tracemalloc.start()
_start = tracemalloc.take_snapshot()
try:
yield
finally:
_end = tracemalloc.take_snapshot()
stats = _end.compare_to(_start, group_by)
_print(stats, limit, label)
|
def memoryit_block(group_by='lineno', limit=10, label='code block'):
"""
追踪代码块内存消耗情况
:param group_by: 统计分组，有 'filename', 'lineno', 'traceback' 可选
:param limit: 限制输出行数
:param label: 代码块标签
"""
tracemalloc.start()
_start = tracemalloc.take_snapshot()
try:
yield
finally:
_end = tracemalloc.take_snapshot()
stats = _end.compare_to(_start, group_by)
_print(stats, limit, label)
|
[
"追踪代码块内存消耗情况"
] |
chenjiandongx/python-utils
|
python
|
https://github.com/chenjiandongx/python-utils/blob/a5cfaaf11c7239122b6613189f32b7e6794b5829/python_utls/utils/memoryit.py#L44-L59
|
[
"def",
"memoryit_block",
"(",
"group_by",
"=",
"'lineno'",
",",
"limit",
"=",
"10",
",",
"label",
"=",
"'code block'",
")",
":",
"tracemalloc",
".",
"start",
"(",
")",
"_start",
"=",
"tracemalloc",
".",
"take_snapshot",
"(",
")",
"try",
":",
"yield",
"finally",
":",
"_end",
"=",
"tracemalloc",
".",
"take_snapshot",
"(",
")",
"stats",
"=",
"_end",
".",
"compare_to",
"(",
"_start",
",",
"group_by",
")",
"_print",
"(",
"stats",
",",
"limit",
",",
"label",
")"
] |
a5cfaaf11c7239122b6613189f32b7e6794b5829
|
valid
|
_get_params
|
Get the given param from each of the DOFs for a joint.
|
pagoda/physics.py
|
def _get_params(target, param, dof):
'''Get the given param from each of the DOFs for a joint.'''
return [target.getParam(getattr(ode, 'Param{}{}'.format(param, s)))
for s in ['', '2', '3'][:dof]]
|
def _get_params(target, param, dof):
'''Get the given param from each of the DOFs for a joint.'''
return [target.getParam(getattr(ode, 'Param{}{}'.format(param, s)))
for s in ['', '2', '3'][:dof]]
|
[
"Get",
"the",
"given",
"param",
"from",
"each",
"of",
"the",
"DOFs",
"for",
"a",
"joint",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L478-L481
|
[
"def",
"_get_params",
"(",
"target",
",",
"param",
",",
"dof",
")",
":",
"return",
"[",
"target",
".",
"getParam",
"(",
"getattr",
"(",
"ode",
",",
"'Param{}{}'",
".",
"format",
"(",
"param",
",",
"s",
")",
")",
")",
"for",
"s",
"in",
"[",
"''",
",",
"'2'",
",",
"'3'",
"]",
"[",
":",
"dof",
"]",
"]"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
_set_params
|
Set the given param for each of the DOFs for a joint.
|
pagoda/physics.py
|
def _set_params(target, param, values, dof):
'''Set the given param for each of the DOFs for a joint.'''
if not isinstance(values, (list, tuple, np.ndarray)):
values = [values] * dof
assert dof == len(values)
for s, value in zip(['', '2', '3'][:dof], values):
target.setParam(getattr(ode, 'Param{}{}'.format(param, s)), value)
|
def _set_params(target, param, values, dof):
'''Set the given param for each of the DOFs for a joint.'''
if not isinstance(values, (list, tuple, np.ndarray)):
values = [values] * dof
assert dof == len(values)
for s, value in zip(['', '2', '3'][:dof], values):
target.setParam(getattr(ode, 'Param{}{}'.format(param, s)), value)
|
[
"Set",
"the",
"given",
"param",
"for",
"each",
"of",
"the",
"DOFs",
"for",
"a",
"joint",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L484-L490
|
[
"def",
"_set_params",
"(",
"target",
",",
"param",
",",
"values",
",",
"dof",
")",
":",
"if",
"not",
"isinstance",
"(",
"values",
",",
"(",
"list",
",",
"tuple",
",",
"np",
".",
"ndarray",
")",
")",
":",
"values",
"=",
"[",
"values",
"]",
"*",
"dof",
"assert",
"dof",
"==",
"len",
"(",
"values",
")",
"for",
"s",
",",
"value",
"in",
"zip",
"(",
"[",
"''",
",",
"'2'",
",",
"'3'",
"]",
"[",
":",
"dof",
"]",
",",
"values",
")",
":",
"target",
".",
"setParam",
"(",
"getattr",
"(",
"ode",
",",
"'Param{}{}'",
".",
"format",
"(",
"param",
",",
"s",
")",
")",
",",
"value",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
make_quaternion
|
Given an angle and an axis, create a quaternion.
|
pagoda/physics.py
|
def make_quaternion(theta, *axis):
'''Given an angle and an axis, create a quaternion.'''
x, y, z = axis
r = np.sqrt(x * x + y * y + z * z)
st = np.sin(theta / 2.)
ct = np.cos(theta / 2.)
return [x * st / r, y * st / r, z * st / r, ct]
|
def make_quaternion(theta, *axis):
'''Given an angle and an axis, create a quaternion.'''
x, y, z = axis
r = np.sqrt(x * x + y * y + z * z)
st = np.sin(theta / 2.)
ct = np.cos(theta / 2.)
return [x * st / r, y * st / r, z * st / r, ct]
|
[
"Given",
"an",
"angle",
"and",
"an",
"axis",
"create",
"a",
"quaternion",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L1085-L1091
|
[
"def",
"make_quaternion",
"(",
"theta",
",",
"*",
"axis",
")",
":",
"x",
",",
"y",
",",
"z",
"=",
"axis",
"r",
"=",
"np",
".",
"sqrt",
"(",
"x",
"*",
"x",
"+",
"y",
"*",
"y",
"+",
"z",
"*",
"z",
")",
"st",
"=",
"np",
".",
"sin",
"(",
"theta",
"/",
"2.",
")",
"ct",
"=",
"np",
".",
"cos",
"(",
"theta",
"/",
"2.",
")",
"return",
"[",
"x",
"*",
"st",
"/",
"r",
",",
"y",
"*",
"st",
"/",
"r",
",",
"z",
"*",
"st",
"/",
"r",
",",
"ct",
"]"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
center_of_mass
|
Given a set of bodies, compute their center of mass in world coordinates.
|
pagoda/physics.py
|
def center_of_mass(bodies):
'''Given a set of bodies, compute their center of mass in world coordinates.
'''
x = np.zeros(3.)
t = 0.
for b in bodies:
m = b.mass
x += b.body_to_world(m.c) * m.mass
t += m.mass
return x / t
|
def center_of_mass(bodies):
'''Given a set of bodies, compute their center of mass in world coordinates.
'''
x = np.zeros(3.)
t = 0.
for b in bodies:
m = b.mass
x += b.body_to_world(m.c) * m.mass
t += m.mass
return x / t
|
[
"Given",
"a",
"set",
"of",
"bodies",
"compute",
"their",
"center",
"of",
"mass",
"in",
"world",
"coordinates",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L1094-L1103
|
[
"def",
"center_of_mass",
"(",
"bodies",
")",
":",
"x",
"=",
"np",
".",
"zeros",
"(",
"3.",
")",
"t",
"=",
"0.",
"for",
"b",
"in",
"bodies",
":",
"m",
"=",
"b",
".",
"mass",
"x",
"+=",
"b",
".",
"body_to_world",
"(",
"m",
".",
"c",
")",
"*",
"m",
".",
"mass",
"t",
"+=",
"m",
".",
"mass",
"return",
"x",
"/",
"t"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Body.state
|
The state of this body includes:
- name of the body (str)
- position (3-tuple)
- quaternion (4-tuple)
- linear velocity (3-tuple)
- angular velocity (3-tuple)
|
pagoda/physics.py
|
def state(self):
'''The state of this body includes:
- name of the body (str)
- position (3-tuple)
- quaternion (4-tuple)
- linear velocity (3-tuple)
- angular velocity (3-tuple)
'''
return BodyState(self.name,
tuple(self.position),
tuple(self.quaternion),
tuple(self.linear_velocity),
tuple(self.angular_velocity))
|
def state(self):
'''The state of this body includes:
- name of the body (str)
- position (3-tuple)
- quaternion (4-tuple)
- linear velocity (3-tuple)
- angular velocity (3-tuple)
'''
return BodyState(self.name,
tuple(self.position),
tuple(self.quaternion),
tuple(self.linear_velocity),
tuple(self.angular_velocity))
|
[
"The",
"state",
"of",
"this",
"body",
"includes",
":"
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L61-L74
|
[
"def",
"state",
"(",
"self",
")",
":",
"return",
"BodyState",
"(",
"self",
".",
"name",
",",
"tuple",
"(",
"self",
".",
"position",
")",
",",
"tuple",
"(",
"self",
".",
"quaternion",
")",
",",
"tuple",
"(",
"self",
".",
"linear_velocity",
")",
",",
"tuple",
"(",
"self",
".",
"angular_velocity",
")",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Body.state
|
Set the state of this body.
Parameters
----------
state : BodyState tuple
The desired state of the body.
|
pagoda/physics.py
|
def state(self, state):
'''Set the state of this body.
Parameters
----------
state : BodyState tuple
The desired state of the body.
'''
assert self.name == state.name, \
'state name "{}" != body name "{}"'.format(state.name, self.name)
self.position = state.position
self.quaternion = state.quaternion
self.linear_velocity = state.linear_velocity
self.angular_velocity = state.angular_velocity
|
def state(self, state):
'''Set the state of this body.
Parameters
----------
state : BodyState tuple
The desired state of the body.
'''
assert self.name == state.name, \
'state name "{}" != body name "{}"'.format(state.name, self.name)
self.position = state.position
self.quaternion = state.quaternion
self.linear_velocity = state.linear_velocity
self.angular_velocity = state.angular_velocity
|
[
"Set",
"the",
"state",
"of",
"this",
"body",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L77-L90
|
[
"def",
"state",
"(",
"self",
",",
"state",
")",
":",
"assert",
"self",
".",
"name",
"==",
"state",
".",
"name",
",",
"'state name \"{}\" != body name \"{}\"'",
".",
"format",
"(",
"state",
".",
"name",
",",
"self",
".",
"name",
")",
"self",
".",
"position",
"=",
"state",
".",
"position",
"self",
".",
"quaternion",
"=",
"state",
".",
"quaternion",
"self",
".",
"linear_velocity",
"=",
"state",
".",
"linear_velocity",
"self",
".",
"angular_velocity",
"=",
"state",
".",
"angular_velocity"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Body.rotation
|
Set the rotation of this body using a rotation matrix.
Parameters
----------
rotation : sequence of 9 floats
The desired rotation matrix for this body.
|
pagoda/physics.py
|
def rotation(self, rotation):
'''Set the rotation of this body using a rotation matrix.
Parameters
----------
rotation : sequence of 9 floats
The desired rotation matrix for this body.
'''
if isinstance(rotation, np.ndarray):
rotation = rotation.ravel()
self.ode_body.setRotation(tuple(rotation))
|
def rotation(self, rotation):
'''Set the rotation of this body using a rotation matrix.
Parameters
----------
rotation : sequence of 9 floats
The desired rotation matrix for this body.
'''
if isinstance(rotation, np.ndarray):
rotation = rotation.ravel()
self.ode_body.setRotation(tuple(rotation))
|
[
"Set",
"the",
"rotation",
"of",
"this",
"body",
"using",
"a",
"rotation",
"matrix",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L114-L124
|
[
"def",
"rotation",
"(",
"self",
",",
"rotation",
")",
":",
"if",
"isinstance",
"(",
"rotation",
",",
"np",
".",
"ndarray",
")",
":",
"rotation",
"=",
"rotation",
".",
"ravel",
"(",
")",
"self",
".",
"ode_body",
".",
"setRotation",
"(",
"tuple",
"(",
"rotation",
")",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Body.is_kinematic
|
Set the kinematic/dynamic attribute for this body.
In pagoda, kinematic bodies have infinite mass and do interact with
other bodies via collisions.
Parameters
----------
is_kinematic : bool
If True, this body will be set to kinematic. If False, it will be
set to dynamic.
|
pagoda/physics.py
|
def is_kinematic(self, is_kinematic):
'''Set the kinematic/dynamic attribute for this body.
In pagoda, kinematic bodies have infinite mass and do interact with
other bodies via collisions.
Parameters
----------
is_kinematic : bool
If True, this body will be set to kinematic. If False, it will be
set to dynamic.
'''
if is_kinematic:
self.ode_body.setKinematic()
else:
self.ode_body.setDynamic()
|
def is_kinematic(self, is_kinematic):
'''Set the kinematic/dynamic attribute for this body.
In pagoda, kinematic bodies have infinite mass and do interact with
other bodies via collisions.
Parameters
----------
is_kinematic : bool
If True, this body will be set to kinematic. If False, it will be
set to dynamic.
'''
if is_kinematic:
self.ode_body.setKinematic()
else:
self.ode_body.setDynamic()
|
[
"Set",
"the",
"kinematic",
"/",
"dynamic",
"attribute",
"for",
"this",
"body",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L205-L220
|
[
"def",
"is_kinematic",
"(",
"self",
",",
"is_kinematic",
")",
":",
"if",
"is_kinematic",
":",
"self",
".",
"ode_body",
".",
"setKinematic",
"(",
")",
"else",
":",
"self",
".",
"ode_body",
".",
"setDynamic",
"(",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Body.body_to_world
|
Convert a body-relative offset to world coordinates.
Parameters
----------
position : 3-tuple of float
A tuple giving body-relative offsets.
Returns
-------
position : 3-tuple of float
A tuple giving the world coordinates of the given offset.
|
pagoda/physics.py
|
def body_to_world(self, position):
'''Convert a body-relative offset to world coordinates.
Parameters
----------
position : 3-tuple of float
A tuple giving body-relative offsets.
Returns
-------
position : 3-tuple of float
A tuple giving the world coordinates of the given offset.
'''
return np.array(self.ode_body.getRelPointPos(tuple(position)))
|
def body_to_world(self, position):
'''Convert a body-relative offset to world coordinates.
Parameters
----------
position : 3-tuple of float
A tuple giving body-relative offsets.
Returns
-------
position : 3-tuple of float
A tuple giving the world coordinates of the given offset.
'''
return np.array(self.ode_body.getRelPointPos(tuple(position)))
|
[
"Convert",
"a",
"body",
"-",
"relative",
"offset",
"to",
"world",
"coordinates",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L253-L266
|
[
"def",
"body_to_world",
"(",
"self",
",",
"position",
")",
":",
"return",
"np",
".",
"array",
"(",
"self",
".",
"ode_body",
".",
"getRelPointPos",
"(",
"tuple",
"(",
"position",
")",
")",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Body.world_to_body
|
Convert a point in world coordinates to a body-relative offset.
Parameters
----------
position : 3-tuple of float
A world coordinates position.
Returns
-------
offset : 3-tuple of float
A tuple giving the body-relative offset of the given position.
|
pagoda/physics.py
|
def world_to_body(self, position):
'''Convert a point in world coordinates to a body-relative offset.
Parameters
----------
position : 3-tuple of float
A world coordinates position.
Returns
-------
offset : 3-tuple of float
A tuple giving the body-relative offset of the given position.
'''
return np.array(self.ode_body.getPosRelPoint(tuple(position)))
|
def world_to_body(self, position):
'''Convert a point in world coordinates to a body-relative offset.
Parameters
----------
position : 3-tuple of float
A world coordinates position.
Returns
-------
offset : 3-tuple of float
A tuple giving the body-relative offset of the given position.
'''
return np.array(self.ode_body.getPosRelPoint(tuple(position)))
|
[
"Convert",
"a",
"point",
"in",
"world",
"coordinates",
"to",
"a",
"body",
"-",
"relative",
"offset",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L268-L281
|
[
"def",
"world_to_body",
"(",
"self",
",",
"position",
")",
":",
"return",
"np",
".",
"array",
"(",
"self",
".",
"ode_body",
".",
"getPosRelPoint",
"(",
"tuple",
"(",
"position",
")",
")",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Body.relative_offset_to_world
|
Convert a relative body offset to world coordinates.
Parameters
----------
offset : 3-tuple of float
The offset of the desired point, given as a relative fraction of the
size of this body. For example, offset (0, 0, 0) is the center of
the body, while (0.5, -0.2, 0.1) describes a point halfway from the
center towards the maximum x-extent of the body, 20% of the way from
the center towards the minimum y-extent, and 10% of the way from the
center towards the maximum z-extent.
Returns
-------
position : 3-tuple of float
A position in world coordinates of the given body offset.
|
pagoda/physics.py
|
def relative_offset_to_world(self, offset):
'''Convert a relative body offset to world coordinates.
Parameters
----------
offset : 3-tuple of float
The offset of the desired point, given as a relative fraction of the
size of this body. For example, offset (0, 0, 0) is the center of
the body, while (0.5, -0.2, 0.1) describes a point halfway from the
center towards the maximum x-extent of the body, 20% of the way from
the center towards the minimum y-extent, and 10% of the way from the
center towards the maximum z-extent.
Returns
-------
position : 3-tuple of float
A position in world coordinates of the given body offset.
'''
return np.array(self.body_to_world(offset * self.dimensions / 2))
|
def relative_offset_to_world(self, offset):
'''Convert a relative body offset to world coordinates.
Parameters
----------
offset : 3-tuple of float
The offset of the desired point, given as a relative fraction of the
size of this body. For example, offset (0, 0, 0) is the center of
the body, while (0.5, -0.2, 0.1) describes a point halfway from the
center towards the maximum x-extent of the body, 20% of the way from
the center towards the minimum y-extent, and 10% of the way from the
center towards the maximum z-extent.
Returns
-------
position : 3-tuple of float
A position in world coordinates of the given body offset.
'''
return np.array(self.body_to_world(offset * self.dimensions / 2))
|
[
"Convert",
"a",
"relative",
"body",
"offset",
"to",
"world",
"coordinates",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L283-L301
|
[
"def",
"relative_offset_to_world",
"(",
"self",
",",
"offset",
")",
":",
"return",
"np",
".",
"array",
"(",
"self",
".",
"body_to_world",
"(",
"offset",
"*",
"self",
".",
"dimensions",
"/",
"2",
")",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Body.add_force
|
Add a force to this body.
Parameters
----------
force : 3-tuple of float
A vector giving the forces along each world or body coordinate axis.
relative : bool, optional
If False, the force values are assumed to be given in the world
coordinate frame. If True, they are assumed to be given in the
body-relative coordinate frame. Defaults to False.
position : 3-tuple of float, optional
If given, apply the force at this location in world coordinates.
Defaults to the current position of the body.
relative_position : 3-tuple of float, optional
If given, apply the force at this relative location on the body. If
given, this method ignores the ``position`` parameter.
|
pagoda/physics.py
|
def add_force(self, force, relative=False, position=None, relative_position=None):
'''Add a force to this body.
Parameters
----------
force : 3-tuple of float
A vector giving the forces along each world or body coordinate axis.
relative : bool, optional
If False, the force values are assumed to be given in the world
coordinate frame. If True, they are assumed to be given in the
body-relative coordinate frame. Defaults to False.
position : 3-tuple of float, optional
If given, apply the force at this location in world coordinates.
Defaults to the current position of the body.
relative_position : 3-tuple of float, optional
If given, apply the force at this relative location on the body. If
given, this method ignores the ``position`` parameter.
'''
b = self.ode_body
if relative_position is not None:
op = b.addRelForceAtRelPos if relative else b.addForceAtRelPos
op(force, relative_position)
elif position is not None:
op = b.addRelForceAtPos if relative else b.addForceAtPos
op(force, position)
else:
op = b.addRelForce if relative else b.addForce
op(force)
|
def add_force(self, force, relative=False, position=None, relative_position=None):
'''Add a force to this body.
Parameters
----------
force : 3-tuple of float
A vector giving the forces along each world or body coordinate axis.
relative : bool, optional
If False, the force values are assumed to be given in the world
coordinate frame. If True, they are assumed to be given in the
body-relative coordinate frame. Defaults to False.
position : 3-tuple of float, optional
If given, apply the force at this location in world coordinates.
Defaults to the current position of the body.
relative_position : 3-tuple of float, optional
If given, apply the force at this relative location on the body. If
given, this method ignores the ``position`` parameter.
'''
b = self.ode_body
if relative_position is not None:
op = b.addRelForceAtRelPos if relative else b.addForceAtRelPos
op(force, relative_position)
elif position is not None:
op = b.addRelForceAtPos if relative else b.addForceAtPos
op(force, position)
else:
op = b.addRelForce if relative else b.addForce
op(force)
|
[
"Add",
"a",
"force",
"to",
"this",
"body",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L303-L330
|
[
"def",
"add_force",
"(",
"self",
",",
"force",
",",
"relative",
"=",
"False",
",",
"position",
"=",
"None",
",",
"relative_position",
"=",
"None",
")",
":",
"b",
"=",
"self",
".",
"ode_body",
"if",
"relative_position",
"is",
"not",
"None",
":",
"op",
"=",
"b",
".",
"addRelForceAtRelPos",
"if",
"relative",
"else",
"b",
".",
"addForceAtRelPos",
"op",
"(",
"force",
",",
"relative_position",
")",
"elif",
"position",
"is",
"not",
"None",
":",
"op",
"=",
"b",
".",
"addRelForceAtPos",
"if",
"relative",
"else",
"b",
".",
"addForceAtPos",
"op",
"(",
"force",
",",
"position",
")",
"else",
":",
"op",
"=",
"b",
".",
"addRelForce",
"if",
"relative",
"else",
"b",
".",
"addForce",
"op",
"(",
"force",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Body.add_torque
|
Add a torque to this body.
Parameters
----------
force : 3-tuple of float
A vector giving the torque along each world or body coordinate axis.
relative : bool, optional
If False, the torque values are assumed to be given in the world
coordinate frame. If True, they are assumed to be given in the
body-relative coordinate frame. Defaults to False.
|
pagoda/physics.py
|
def add_torque(self, torque, relative=False):
'''Add a torque to this body.
Parameters
----------
force : 3-tuple of float
A vector giving the torque along each world or body coordinate axis.
relative : bool, optional
If False, the torque values are assumed to be given in the world
coordinate frame. If True, they are assumed to be given in the
body-relative coordinate frame. Defaults to False.
'''
op = self.ode_body.addRelTorque if relative else self.ode_body.addTorque
op(torque)
|
def add_torque(self, torque, relative=False):
'''Add a torque to this body.
Parameters
----------
force : 3-tuple of float
A vector giving the torque along each world or body coordinate axis.
relative : bool, optional
If False, the torque values are assumed to be given in the world
coordinate frame. If True, they are assumed to be given in the
body-relative coordinate frame. Defaults to False.
'''
op = self.ode_body.addRelTorque if relative else self.ode_body.addTorque
op(torque)
|
[
"Add",
"a",
"torque",
"to",
"this",
"body",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L332-L345
|
[
"def",
"add_torque",
"(",
"self",
",",
"torque",
",",
"relative",
"=",
"False",
")",
":",
"op",
"=",
"self",
".",
"ode_body",
".",
"addRelTorque",
"if",
"relative",
"else",
"self",
".",
"ode_body",
".",
"addTorque",
"op",
"(",
"torque",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Body.join_to
|
Connect this body to another one using a joint.
This method creates a joint to fasten this body to the other one. See
:func:`World.join`.
Parameters
----------
joint : str
The type of joint to use when connecting these bodies.
other_body : :class:`Body` or str, optional
The other body to join with this one. If not given, connects this
body to the world.
|
pagoda/physics.py
|
def join_to(self, joint, other_body=None, **kwargs):
'''Connect this body to another one using a joint.
This method creates a joint to fasten this body to the other one. See
:func:`World.join`.
Parameters
----------
joint : str
The type of joint to use when connecting these bodies.
other_body : :class:`Body` or str, optional
The other body to join with this one. If not given, connects this
body to the world.
'''
self.world.join(joint, self, other_body, **kwargs)
|
def join_to(self, joint, other_body=None, **kwargs):
'''Connect this body to another one using a joint.
This method creates a joint to fasten this body to the other one. See
:func:`World.join`.
Parameters
----------
joint : str
The type of joint to use when connecting these bodies.
other_body : :class:`Body` or str, optional
The other body to join with this one. If not given, connects this
body to the world.
'''
self.world.join(joint, self, other_body, **kwargs)
|
[
"Connect",
"this",
"body",
"to",
"another",
"one",
"using",
"a",
"joint",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L347-L361
|
[
"def",
"join_to",
"(",
"self",
",",
"joint",
",",
"other_body",
"=",
"None",
",",
"*",
"*",
"kwargs",
")",
":",
"self",
".",
"world",
".",
"join",
"(",
"joint",
",",
"self",
",",
"other_body",
",",
"*",
"*",
"kwargs",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Body.connect_to
|
Move another body next to this one and join them together.
This method will move the ``other_body`` so that the anchor points for
the joint coincide. It then creates a joint to fasten the two bodies
together. See :func:`World.move_next_to` and :func:`World.join`.
Parameters
----------
joint : str
The type of joint to use when connecting these bodies.
other_body : :class:`Body` or str
The other body to join with this one.
offset : 3-tuple of float, optional
The body-relative offset where the anchor for the joint should be
placed. Defaults to (0, 0, 0). See :func:`World.move_next_to` for a
description of how offsets are specified.
other_offset : 3-tuple of float, optional
The offset on the second body where the joint anchor should be
placed. Defaults to (0, 0, 0). Like ``offset``, this is given as an
offset relative to the size and shape of ``other_body``.
|
pagoda/physics.py
|
def connect_to(self, joint, other_body, offset=(0, 0, 0), other_offset=(0, 0, 0),
**kwargs):
'''Move another body next to this one and join them together.
This method will move the ``other_body`` so that the anchor points for
the joint coincide. It then creates a joint to fasten the two bodies
together. See :func:`World.move_next_to` and :func:`World.join`.
Parameters
----------
joint : str
The type of joint to use when connecting these bodies.
other_body : :class:`Body` or str
The other body to join with this one.
offset : 3-tuple of float, optional
The body-relative offset where the anchor for the joint should be
placed. Defaults to (0, 0, 0). See :func:`World.move_next_to` for a
description of how offsets are specified.
other_offset : 3-tuple of float, optional
The offset on the second body where the joint anchor should be
placed. Defaults to (0, 0, 0). Like ``offset``, this is given as an
offset relative to the size and shape of ``other_body``.
'''
anchor = self.world.move_next_to(self, other_body, offset, other_offset)
self.world.join(joint, self, other_body, anchor=anchor, **kwargs)
|
def connect_to(self, joint, other_body, offset=(0, 0, 0), other_offset=(0, 0, 0),
**kwargs):
'''Move another body next to this one and join them together.
This method will move the ``other_body`` so that the anchor points for
the joint coincide. It then creates a joint to fasten the two bodies
together. See :func:`World.move_next_to` and :func:`World.join`.
Parameters
----------
joint : str
The type of joint to use when connecting these bodies.
other_body : :class:`Body` or str
The other body to join with this one.
offset : 3-tuple of float, optional
The body-relative offset where the anchor for the joint should be
placed. Defaults to (0, 0, 0). See :func:`World.move_next_to` for a
description of how offsets are specified.
other_offset : 3-tuple of float, optional
The offset on the second body where the joint anchor should be
placed. Defaults to (0, 0, 0). Like ``offset``, this is given as an
offset relative to the size and shape of ``other_body``.
'''
anchor = self.world.move_next_to(self, other_body, offset, other_offset)
self.world.join(joint, self, other_body, anchor=anchor, **kwargs)
|
[
"Move",
"another",
"body",
"next",
"to",
"this",
"one",
"and",
"join",
"them",
"together",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L363-L387
|
[
"def",
"connect_to",
"(",
"self",
",",
"joint",
",",
"other_body",
",",
"offset",
"=",
"(",
"0",
",",
"0",
",",
"0",
")",
",",
"other_offset",
"=",
"(",
"0",
",",
"0",
",",
"0",
")",
",",
"*",
"*",
"kwargs",
")",
":",
"anchor",
"=",
"self",
".",
"world",
".",
"move_next_to",
"(",
"self",
",",
"other_body",
",",
"offset",
",",
"other_offset",
")",
"self",
".",
"world",
".",
"join",
"(",
"joint",
",",
"self",
",",
"other_body",
",",
"anchor",
"=",
"anchor",
",",
"*",
"*",
"kwargs",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Joint.positions
|
List of positions for linear degrees of freedom.
|
pagoda/physics.py
|
def positions(self):
'''List of positions for linear degrees of freedom.'''
return [self.ode_obj.getPosition(i) for i in range(self.LDOF)]
|
def positions(self):
'''List of positions for linear degrees of freedom.'''
return [self.ode_obj.getPosition(i) for i in range(self.LDOF)]
|
[
"List",
"of",
"positions",
"for",
"linear",
"degrees",
"of",
"freedom",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L527-L529
|
[
"def",
"positions",
"(",
"self",
")",
":",
"return",
"[",
"self",
".",
"ode_obj",
".",
"getPosition",
"(",
"i",
")",
"for",
"i",
"in",
"range",
"(",
"self",
".",
"LDOF",
")",
"]"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Joint.position_rates
|
List of position rates for linear degrees of freedom.
|
pagoda/physics.py
|
def position_rates(self):
'''List of position rates for linear degrees of freedom.'''
return [self.ode_obj.getPositionRate(i) for i in range(self.LDOF)]
|
def position_rates(self):
'''List of position rates for linear degrees of freedom.'''
return [self.ode_obj.getPositionRate(i) for i in range(self.LDOF)]
|
[
"List",
"of",
"position",
"rates",
"for",
"linear",
"degrees",
"of",
"freedom",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L532-L534
|
[
"def",
"position_rates",
"(",
"self",
")",
":",
"return",
"[",
"self",
".",
"ode_obj",
".",
"getPositionRate",
"(",
"i",
")",
"for",
"i",
"in",
"range",
"(",
"self",
".",
"LDOF",
")",
"]"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Joint.angles
|
List of angles for rotational degrees of freedom.
|
pagoda/physics.py
|
def angles(self):
'''List of angles for rotational degrees of freedom.'''
return [self.ode_obj.getAngle(i) for i in range(self.ADOF)]
|
def angles(self):
'''List of angles for rotational degrees of freedom.'''
return [self.ode_obj.getAngle(i) for i in range(self.ADOF)]
|
[
"List",
"of",
"angles",
"for",
"rotational",
"degrees",
"of",
"freedom",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L537-L539
|
[
"def",
"angles",
"(",
"self",
")",
":",
"return",
"[",
"self",
".",
"ode_obj",
".",
"getAngle",
"(",
"i",
")",
"for",
"i",
"in",
"range",
"(",
"self",
".",
"ADOF",
")",
"]"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Joint.angle_rates
|
List of angle rates for rotational degrees of freedom.
|
pagoda/physics.py
|
def angle_rates(self):
'''List of angle rates for rotational degrees of freedom.'''
return [self.ode_obj.getAngleRate(i) for i in range(self.ADOF)]
|
def angle_rates(self):
'''List of angle rates for rotational degrees of freedom.'''
return [self.ode_obj.getAngleRate(i) for i in range(self.ADOF)]
|
[
"List",
"of",
"angle",
"rates",
"for",
"rotational",
"degrees",
"of",
"freedom",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L542-L544
|
[
"def",
"angle_rates",
"(",
"self",
")",
":",
"return",
"[",
"self",
".",
"ode_obj",
".",
"getAngleRate",
"(",
"i",
")",
"for",
"i",
"in",
"range",
"(",
"self",
".",
"ADOF",
")",
"]"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Joint.axes
|
List of axes for this object's degrees of freedom.
|
pagoda/physics.py
|
def axes(self):
'''List of axes for this object's degrees of freedom.'''
return [np.array(self.ode_obj.getAxis(i))
for i in range(self.ADOF or self.LDOF)]
|
def axes(self):
'''List of axes for this object's degrees of freedom.'''
return [np.array(self.ode_obj.getAxis(i))
for i in range(self.ADOF or self.LDOF)]
|
[
"List",
"of",
"axes",
"for",
"this",
"object",
"s",
"degrees",
"of",
"freedom",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L547-L550
|
[
"def",
"axes",
"(",
"self",
")",
":",
"return",
"[",
"np",
".",
"array",
"(",
"self",
".",
"ode_obj",
".",
"getAxis",
"(",
"i",
")",
")",
"for",
"i",
"in",
"range",
"(",
"self",
".",
"ADOF",
"or",
"self",
".",
"LDOF",
")",
"]"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Joint.axes
|
Set the axes for this object's degrees of freedom.
Parameters
----------
axes : list of axes specifications
A list of axis values to set. This list must have the same number of
elements as the degrees of freedom of the underlying ODE object.
Each element can be
(a) None, which has no effect on the corresponding axis, or
(b) three floats specifying the axis to set.
|
pagoda/physics.py
|
def axes(self, axes):
'''Set the axes for this object's degrees of freedom.
Parameters
----------
axes : list of axes specifications
A list of axis values to set. This list must have the same number of
elements as the degrees of freedom of the underlying ODE object.
Each element can be
(a) None, which has no effect on the corresponding axis, or
(b) three floats specifying the axis to set.
'''
assert self.ADOF == len(axes) or self.LDOF == len(axes)
for i, axis in enumerate(axes):
if axis is not None:
self.ode_obj.setAxis(i, 0, axis)
|
def axes(self, axes):
'''Set the axes for this object's degrees of freedom.
Parameters
----------
axes : list of axes specifications
A list of axis values to set. This list must have the same number of
elements as the degrees of freedom of the underlying ODE object.
Each element can be
(a) None, which has no effect on the corresponding axis, or
(b) three floats specifying the axis to set.
'''
assert self.ADOF == len(axes) or self.LDOF == len(axes)
for i, axis in enumerate(axes):
if axis is not None:
self.ode_obj.setAxis(i, 0, axis)
|
[
"Set",
"the",
"axes",
"for",
"this",
"object",
"s",
"degrees",
"of",
"freedom",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L553-L569
|
[
"def",
"axes",
"(",
"self",
",",
"axes",
")",
":",
"assert",
"self",
".",
"ADOF",
"==",
"len",
"(",
"axes",
")",
"or",
"self",
".",
"LDOF",
"==",
"len",
"(",
"axes",
")",
"for",
"i",
",",
"axis",
"in",
"enumerate",
"(",
"axes",
")",
":",
"if",
"axis",
"is",
"not",
"None",
":",
"self",
".",
"ode_obj",
".",
"setAxis",
"(",
"i",
",",
"0",
",",
"axis",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Joint.lo_stops
|
Set the lo stop values for this object's degrees of freedom.
Parameters
----------
lo_stops : float or sequence of float
A lo stop value to set on all degrees of freedom, or a list
containing one such value for each degree of freedom. For rotational
degrees of freedom, these values must be in radians.
|
pagoda/physics.py
|
def lo_stops(self, lo_stops):
'''Set the lo stop values for this object's degrees of freedom.
Parameters
----------
lo_stops : float or sequence of float
A lo stop value to set on all degrees of freedom, or a list
containing one such value for each degree of freedom. For rotational
degrees of freedom, these values must be in radians.
'''
_set_params(self.ode_obj, 'LoStop', lo_stops, self.ADOF + self.LDOF)
|
def lo_stops(self, lo_stops):
'''Set the lo stop values for this object's degrees of freedom.
Parameters
----------
lo_stops : float or sequence of float
A lo stop value to set on all degrees of freedom, or a list
containing one such value for each degree of freedom. For rotational
degrees of freedom, these values must be in radians.
'''
_set_params(self.ode_obj, 'LoStop', lo_stops, self.ADOF + self.LDOF)
|
[
"Set",
"the",
"lo",
"stop",
"values",
"for",
"this",
"object",
"s",
"degrees",
"of",
"freedom",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L577-L587
|
[
"def",
"lo_stops",
"(",
"self",
",",
"lo_stops",
")",
":",
"_set_params",
"(",
"self",
".",
"ode_obj",
",",
"'LoStop'",
",",
"lo_stops",
",",
"self",
".",
"ADOF",
"+",
"self",
".",
"LDOF",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Joint.hi_stops
|
Set the hi stop values for this object's degrees of freedom.
Parameters
----------
hi_stops : float or sequence of float
A hi stop value to set on all degrees of freedom, or a list
containing one such value for each degree of freedom. For rotational
degrees of freedom, these values must be in radians.
|
pagoda/physics.py
|
def hi_stops(self, hi_stops):
'''Set the hi stop values for this object's degrees of freedom.
Parameters
----------
hi_stops : float or sequence of float
A hi stop value to set on all degrees of freedom, or a list
containing one such value for each degree of freedom. For rotational
degrees of freedom, these values must be in radians.
'''
_set_params(self.ode_obj, 'HiStop', hi_stops, self.ADOF + self.LDOF)
|
def hi_stops(self, hi_stops):
'''Set the hi stop values for this object's degrees of freedom.
Parameters
----------
hi_stops : float or sequence of float
A hi stop value to set on all degrees of freedom, or a list
containing one such value for each degree of freedom. For rotational
degrees of freedom, these values must be in radians.
'''
_set_params(self.ode_obj, 'HiStop', hi_stops, self.ADOF + self.LDOF)
|
[
"Set",
"the",
"hi",
"stop",
"values",
"for",
"this",
"object",
"s",
"degrees",
"of",
"freedom",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L595-L605
|
[
"def",
"hi_stops",
"(",
"self",
",",
"hi_stops",
")",
":",
"_set_params",
"(",
"self",
".",
"ode_obj",
",",
"'HiStop'",
",",
"hi_stops",
",",
"self",
".",
"ADOF",
"+",
"self",
".",
"LDOF",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Joint.velocities
|
Set the target velocities for this object's degrees of freedom.
Parameters
----------
velocities : float or sequence of float
A target velocity value to set on all degrees of freedom, or a list
containing one such value for each degree of freedom. For rotational
degrees of freedom, these values must be in radians / second.
|
pagoda/physics.py
|
def velocities(self, velocities):
'''Set the target velocities for this object's degrees of freedom.
Parameters
----------
velocities : float or sequence of float
A target velocity value to set on all degrees of freedom, or a list
containing one such value for each degree of freedom. For rotational
degrees of freedom, these values must be in radians / second.
'''
_set_params(self.ode_obj, 'Vel', velocities, self.ADOF + self.LDOF)
|
def velocities(self, velocities):
'''Set the target velocities for this object's degrees of freedom.
Parameters
----------
velocities : float or sequence of float
A target velocity value to set on all degrees of freedom, or a list
containing one such value for each degree of freedom. For rotational
degrees of freedom, these values must be in radians / second.
'''
_set_params(self.ode_obj, 'Vel', velocities, self.ADOF + self.LDOF)
|
[
"Set",
"the",
"target",
"velocities",
"for",
"this",
"object",
"s",
"degrees",
"of",
"freedom",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L613-L623
|
[
"def",
"velocities",
"(",
"self",
",",
"velocities",
")",
":",
"_set_params",
"(",
"self",
".",
"ode_obj",
",",
"'Vel'",
",",
"velocities",
",",
"self",
".",
"ADOF",
"+",
"self",
".",
"LDOF",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Joint.max_forces
|
Set the maximum forces for this object's degrees of freedom.
Parameters
----------
max_forces : float or sequence of float
A maximum force value to set on all degrees of freedom, or a list
containing one such value for each degree of freedom.
|
pagoda/physics.py
|
def max_forces(self, max_forces):
'''Set the maximum forces for this object's degrees of freedom.
Parameters
----------
max_forces : float or sequence of float
A maximum force value to set on all degrees of freedom, or a list
containing one such value for each degree of freedom.
'''
_set_params(self.ode_obj, 'FMax', max_forces, self.ADOF + self.LDOF)
|
def max_forces(self, max_forces):
'''Set the maximum forces for this object's degrees of freedom.
Parameters
----------
max_forces : float or sequence of float
A maximum force value to set on all degrees of freedom, or a list
containing one such value for each degree of freedom.
'''
_set_params(self.ode_obj, 'FMax', max_forces, self.ADOF + self.LDOF)
|
[
"Set",
"the",
"maximum",
"forces",
"for",
"this",
"object",
"s",
"degrees",
"of",
"freedom",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L631-L640
|
[
"def",
"max_forces",
"(",
"self",
",",
"max_forces",
")",
":",
"_set_params",
"(",
"self",
".",
"ode_obj",
",",
"'FMax'",
",",
"max_forces",
",",
"self",
".",
"ADOF",
"+",
"self",
".",
"LDOF",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Joint.erps
|
Set the ERP values for this object's degrees of freedom.
Parameters
----------
erps : float or sequence of float
An ERP value to set on all degrees of freedom, or a list
containing one such value for each degree of freedom.
|
pagoda/physics.py
|
def erps(self, erps):
'''Set the ERP values for this object's degrees of freedom.
Parameters
----------
erps : float or sequence of float
An ERP value to set on all degrees of freedom, or a list
containing one such value for each degree of freedom.
'''
_set_params(self.ode_obj, 'ERP', erps, self.ADOF + self.LDOF)
|
def erps(self, erps):
'''Set the ERP values for this object's degrees of freedom.
Parameters
----------
erps : float or sequence of float
An ERP value to set on all degrees of freedom, or a list
containing one such value for each degree of freedom.
'''
_set_params(self.ode_obj, 'ERP', erps, self.ADOF + self.LDOF)
|
[
"Set",
"the",
"ERP",
"values",
"for",
"this",
"object",
"s",
"degrees",
"of",
"freedom",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L648-L657
|
[
"def",
"erps",
"(",
"self",
",",
"erps",
")",
":",
"_set_params",
"(",
"self",
".",
"ode_obj",
",",
"'ERP'",
",",
"erps",
",",
"self",
".",
"ADOF",
"+",
"self",
".",
"LDOF",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Joint.cfms
|
Set the CFM values for this object's degrees of freedom.
Parameters
----------
cfms : float or sequence of float
A CFM value to set on all degrees of freedom, or a list
containing one such value for each degree of freedom.
|
pagoda/physics.py
|
def cfms(self, cfms):
'''Set the CFM values for this object's degrees of freedom.
Parameters
----------
cfms : float or sequence of float
A CFM value to set on all degrees of freedom, or a list
containing one such value for each degree of freedom.
'''
_set_params(self.ode_obj, 'CFM', cfms, self.ADOF + self.LDOF)
|
def cfms(self, cfms):
'''Set the CFM values for this object's degrees of freedom.
Parameters
----------
cfms : float or sequence of float
A CFM value to set on all degrees of freedom, or a list
containing one such value for each degree of freedom.
'''
_set_params(self.ode_obj, 'CFM', cfms, self.ADOF + self.LDOF)
|
[
"Set",
"the",
"CFM",
"values",
"for",
"this",
"object",
"s",
"degrees",
"of",
"freedom",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L665-L674
|
[
"def",
"cfms",
"(",
"self",
",",
"cfms",
")",
":",
"_set_params",
"(",
"self",
".",
"ode_obj",
",",
"'CFM'",
",",
"cfms",
",",
"self",
".",
"ADOF",
"+",
"self",
".",
"LDOF",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Joint.stop_cfms
|
Set the CFM values for this object's DOF limits.
Parameters
----------
stop_cfms : float or sequence of float
A CFM value to set on all degrees of freedom limits, or a list
containing one such value for each degree of freedom limit.
|
pagoda/physics.py
|
def stop_cfms(self, stop_cfms):
'''Set the CFM values for this object's DOF limits.
Parameters
----------
stop_cfms : float or sequence of float
A CFM value to set on all degrees of freedom limits, or a list
containing one such value for each degree of freedom limit.
'''
_set_params(self.ode_obj, 'StopCFM', stop_cfms, self.ADOF + self.LDOF)
|
def stop_cfms(self, stop_cfms):
'''Set the CFM values for this object's DOF limits.
Parameters
----------
stop_cfms : float or sequence of float
A CFM value to set on all degrees of freedom limits, or a list
containing one such value for each degree of freedom limit.
'''
_set_params(self.ode_obj, 'StopCFM', stop_cfms, self.ADOF + self.LDOF)
|
[
"Set",
"the",
"CFM",
"values",
"for",
"this",
"object",
"s",
"DOF",
"limits",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L682-L691
|
[
"def",
"stop_cfms",
"(",
"self",
",",
"stop_cfms",
")",
":",
"_set_params",
"(",
"self",
".",
"ode_obj",
",",
"'StopCFM'",
",",
"stop_cfms",
",",
"self",
".",
"ADOF",
"+",
"self",
".",
"LDOF",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Joint.stop_erps
|
Set the ERP values for this object's DOF limits.
Parameters
----------
stop_erps : float or sequence of float
An ERP value to set on all degrees of freedom limits, or a list
containing one such value for each degree of freedom limit.
|
pagoda/physics.py
|
def stop_erps(self, stop_erps):
'''Set the ERP values for this object's DOF limits.
Parameters
----------
stop_erps : float or sequence of float
An ERP value to set on all degrees of freedom limits, or a list
containing one such value for each degree of freedom limit.
'''
_set_params(self.ode_obj, 'StopERP', stop_erps, self.ADOF + self.LDOF)
|
def stop_erps(self, stop_erps):
'''Set the ERP values for this object's DOF limits.
Parameters
----------
stop_erps : float or sequence of float
An ERP value to set on all degrees of freedom limits, or a list
containing one such value for each degree of freedom limit.
'''
_set_params(self.ode_obj, 'StopERP', stop_erps, self.ADOF + self.LDOF)
|
[
"Set",
"the",
"ERP",
"values",
"for",
"this",
"object",
"s",
"DOF",
"limits",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L699-L708
|
[
"def",
"stop_erps",
"(",
"self",
",",
"stop_erps",
")",
":",
"_set_params",
"(",
"self",
".",
"ode_obj",
",",
"'StopERP'",
",",
"stop_erps",
",",
"self",
".",
"ADOF",
"+",
"self",
".",
"LDOF",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
AMotor.axes
|
Set the axes for this object's degrees of freedom.
Parameters
----------
axes : list of axis parameters
A list of axis values to set. This list must have the same number of
elements as the degrees of freedom of the underlying ODE object.
Each element can be
(a) None, which has no effect on the corresponding axis, or
(b) three floats specifying the axis to set, or
(c) a dictionary with an "axis" key specifying the axis to set and
an optional "rel" key (defaults to 0) specifying the relative
body to set the axis on.
|
pagoda/physics.py
|
def axes(self, axes):
'''Set the axes for this object's degrees of freedom.
Parameters
----------
axes : list of axis parameters
A list of axis values to set. This list must have the same number of
elements as the degrees of freedom of the underlying ODE object.
Each element can be
(a) None, which has no effect on the corresponding axis, or
(b) three floats specifying the axis to set, or
(c) a dictionary with an "axis" key specifying the axis to set and
an optional "rel" key (defaults to 0) specifying the relative
body to set the axis on.
'''
assert len(axes) == self.ADOF
for i, ax in enumerate(axes):
if ax is None:
continue
if not isinstance(ax, dict):
ax = dict(axis=ax)
self.ode_obj.setAxis(i, ax.get('rel', 0), ax['axis'])
|
def axes(self, axes):
'''Set the axes for this object's degrees of freedom.
Parameters
----------
axes : list of axis parameters
A list of axis values to set. This list must have the same number of
elements as the degrees of freedom of the underlying ODE object.
Each element can be
(a) None, which has no effect on the corresponding axis, or
(b) three floats specifying the axis to set, or
(c) a dictionary with an "axis" key specifying the axis to set and
an optional "rel" key (defaults to 0) specifying the relative
body to set the axis on.
'''
assert len(axes) == self.ADOF
for i, ax in enumerate(axes):
if ax is None:
continue
if not isinstance(ax, dict):
ax = dict(axis=ax)
self.ode_obj.setAxis(i, ax.get('rel', 0), ax['axis'])
|
[
"Set",
"the",
"axes",
"for",
"this",
"object",
"s",
"degrees",
"of",
"freedom",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L785-L807
|
[
"def",
"axes",
"(",
"self",
",",
"axes",
")",
":",
"assert",
"len",
"(",
"axes",
")",
"==",
"self",
".",
"ADOF",
"for",
"i",
",",
"ax",
"in",
"enumerate",
"(",
"axes",
")",
":",
"if",
"ax",
"is",
"None",
":",
"continue",
"if",
"not",
"isinstance",
"(",
"ax",
",",
"dict",
")",
":",
"ax",
"=",
"dict",
"(",
"axis",
"=",
"ax",
")",
"self",
".",
"ode_obj",
".",
"setAxis",
"(",
"i",
",",
"ax",
".",
"get",
"(",
"'rel'",
",",
"0",
")",
",",
"ax",
"[",
"'axis'",
"]",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Slider.axes
|
Set the linear axis of displacement for this joint.
Parameters
----------
axes : list containing one 3-tuple of floats
A list of the axes for this joint. For a slider joint, which has one
degree of freedom, this must contain one 3-tuple specifying the X,
Y, and Z axis for the joint.
|
pagoda/physics.py
|
def axes(self, axes):
'''Set the linear axis of displacement for this joint.
Parameters
----------
axes : list containing one 3-tuple of floats
A list of the axes for this joint. For a slider joint, which has one
degree of freedom, this must contain one 3-tuple specifying the X,
Y, and Z axis for the joint.
'''
self.lmotor.axes = [axes[0]]
self.ode_obj.setAxis(tuple(axes[0]))
|
def axes(self, axes):
'''Set the linear axis of displacement for this joint.
Parameters
----------
axes : list containing one 3-tuple of floats
A list of the axes for this joint. For a slider joint, which has one
degree of freedom, this must contain one 3-tuple specifying the X,
Y, and Z axis for the joint.
'''
self.lmotor.axes = [axes[0]]
self.ode_obj.setAxis(tuple(axes[0]))
|
[
"Set",
"the",
"linear",
"axis",
"of",
"displacement",
"for",
"this",
"joint",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L943-L954
|
[
"def",
"axes",
"(",
"self",
",",
"axes",
")",
":",
"self",
".",
"lmotor",
".",
"axes",
"=",
"[",
"axes",
"[",
"0",
"]",
"]",
"self",
".",
"ode_obj",
".",
"setAxis",
"(",
"tuple",
"(",
"axes",
"[",
"0",
"]",
")",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Hinge.axes
|
Set the angular axis of rotation for this joint.
Parameters
----------
axes : list containing one 3-tuple of floats
A list of the axes for this joint. For a hinge joint, which has one
degree of freedom, this must contain one 3-tuple specifying the X,
Y, and Z axis for the joint.
|
pagoda/physics.py
|
def axes(self, axes):
'''Set the angular axis of rotation for this joint.
Parameters
----------
axes : list containing one 3-tuple of floats
A list of the axes for this joint. For a hinge joint, which has one
degree of freedom, this must contain one 3-tuple specifying the X,
Y, and Z axis for the joint.
'''
self.amotor.axes = [axes[0]]
self.ode_obj.setAxis(tuple(axes[0]))
|
def axes(self, axes):
'''Set the angular axis of rotation for this joint.
Parameters
----------
axes : list containing one 3-tuple of floats
A list of the axes for this joint. For a hinge joint, which has one
degree of freedom, this must contain one 3-tuple specifying the X,
Y, and Z axis for the joint.
'''
self.amotor.axes = [axes[0]]
self.ode_obj.setAxis(tuple(axes[0]))
|
[
"Set",
"the",
"angular",
"axis",
"of",
"rotation",
"for",
"this",
"joint",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L977-L988
|
[
"def",
"axes",
"(",
"self",
",",
"axes",
")",
":",
"self",
".",
"amotor",
".",
"axes",
"=",
"[",
"axes",
"[",
"0",
"]",
"]",
"self",
".",
"ode_obj",
".",
"setAxis",
"(",
"tuple",
"(",
"axes",
"[",
"0",
"]",
")",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
Universal.axes
|
A list of axes of rotation for this joint.
|
pagoda/physics.py
|
def axes(self):
'''A list of axes of rotation for this joint.'''
return [np.array(self.ode_obj.getAxis1()),
np.array(self.ode_obj.getAxis2())]
|
def axes(self):
'''A list of axes of rotation for this joint.'''
return [np.array(self.ode_obj.getAxis1()),
np.array(self.ode_obj.getAxis2())]
|
[
"A",
"list",
"of",
"axes",
"of",
"rotation",
"for",
"this",
"joint",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L1012-L1015
|
[
"def",
"axes",
"(",
"self",
")",
":",
"return",
"[",
"np",
".",
"array",
"(",
"self",
".",
"ode_obj",
".",
"getAxis1",
"(",
")",
")",
",",
"np",
".",
"array",
"(",
"self",
".",
"ode_obj",
".",
"getAxis2",
"(",
")",
")",
"]"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
World.create_body
|
Create a new body.
Parameters
----------
shape : str
The "shape" of the body to be created. This should name a type of
body object, e.g., "box" or "cap".
name : str, optional
The name to use for this body. If not given, a default name will be
constructed of the form "{shape}{# of objects in the world}".
Returns
-------
body : :class:`Body`
The created body object.
|
pagoda/physics.py
|
def create_body(self, shape, name=None, **kwargs):
'''Create a new body.
Parameters
----------
shape : str
The "shape" of the body to be created. This should name a type of
body object, e.g., "box" or "cap".
name : str, optional
The name to use for this body. If not given, a default name will be
constructed of the form "{shape}{# of objects in the world}".
Returns
-------
body : :class:`Body`
The created body object.
'''
shape = shape.lower()
if name is None:
for i in range(1 + len(self._bodies)):
name = '{}{}'.format(shape, i)
if name not in self._bodies:
break
self._bodies[name] = Body.build(shape, name, self, **kwargs)
return self._bodies[name]
|
def create_body(self, shape, name=None, **kwargs):
'''Create a new body.
Parameters
----------
shape : str
The "shape" of the body to be created. This should name a type of
body object, e.g., "box" or "cap".
name : str, optional
The name to use for this body. If not given, a default name will be
constructed of the form "{shape}{# of objects in the world}".
Returns
-------
body : :class:`Body`
The created body object.
'''
shape = shape.lower()
if name is None:
for i in range(1 + len(self._bodies)):
name = '{}{}'.format(shape, i)
if name not in self._bodies:
break
self._bodies[name] = Body.build(shape, name, self, **kwargs)
return self._bodies[name]
|
[
"Create",
"a",
"new",
"body",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L1219-L1243
|
[
"def",
"create_body",
"(",
"self",
",",
"shape",
",",
"name",
"=",
"None",
",",
"*",
"*",
"kwargs",
")",
":",
"shape",
"=",
"shape",
".",
"lower",
"(",
")",
"if",
"name",
"is",
"None",
":",
"for",
"i",
"in",
"range",
"(",
"1",
"+",
"len",
"(",
"self",
".",
"_bodies",
")",
")",
":",
"name",
"=",
"'{}{}'",
".",
"format",
"(",
"shape",
",",
"i",
")",
"if",
"name",
"not",
"in",
"self",
".",
"_bodies",
":",
"break",
"self",
".",
"_bodies",
"[",
"name",
"]",
"=",
"Body",
".",
"build",
"(",
"shape",
",",
"name",
",",
"self",
",",
"*",
"*",
"kwargs",
")",
"return",
"self",
".",
"_bodies",
"[",
"name",
"]"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
World.join
|
Create a new joint that connects two bodies together.
Parameters
----------
shape : str
The "shape" of the joint to use for joining together two bodies.
This should name a type of joint, such as "ball" or "piston".
body_a : str or :class:`Body`
The first body to join together with this joint. If a string is
given, it will be used as the name of a body to look up in the
world.
body_b : str or :class:`Body`, optional
If given, identifies the second body to join together with
``body_a``. If not given, ``body_a`` is joined to the world.
name : str, optional
If given, use this name for the created joint. If not given, a name
will be constructed of the form
"{body_a.name}^{shape}^{body_b.name}".
Returns
-------
joint : :class:`Joint`
The joint object that was created.
|
pagoda/physics.py
|
def join(self, shape, body_a, body_b=None, name=None, **kwargs):
'''Create a new joint that connects two bodies together.
Parameters
----------
shape : str
The "shape" of the joint to use for joining together two bodies.
This should name a type of joint, such as "ball" or "piston".
body_a : str or :class:`Body`
The first body to join together with this joint. If a string is
given, it will be used as the name of a body to look up in the
world.
body_b : str or :class:`Body`, optional
If given, identifies the second body to join together with
``body_a``. If not given, ``body_a`` is joined to the world.
name : str, optional
If given, use this name for the created joint. If not given, a name
will be constructed of the form
"{body_a.name}^{shape}^{body_b.name}".
Returns
-------
joint : :class:`Joint`
The joint object that was created.
'''
ba = self.get_body(body_a)
bb = self.get_body(body_b)
shape = shape.lower()
if name is None:
name = '{}^{}^{}'.format(ba.name, shape, bb.name if bb else '')
self._joints[name] = Joint.build(
shape, name, self, body_a=ba, body_b=bb, **kwargs)
return self._joints[name]
|
def join(self, shape, body_a, body_b=None, name=None, **kwargs):
'''Create a new joint that connects two bodies together.
Parameters
----------
shape : str
The "shape" of the joint to use for joining together two bodies.
This should name a type of joint, such as "ball" or "piston".
body_a : str or :class:`Body`
The first body to join together with this joint. If a string is
given, it will be used as the name of a body to look up in the
world.
body_b : str or :class:`Body`, optional
If given, identifies the second body to join together with
``body_a``. If not given, ``body_a`` is joined to the world.
name : str, optional
If given, use this name for the created joint. If not given, a name
will be constructed of the form
"{body_a.name}^{shape}^{body_b.name}".
Returns
-------
joint : :class:`Joint`
The joint object that was created.
'''
ba = self.get_body(body_a)
bb = self.get_body(body_b)
shape = shape.lower()
if name is None:
name = '{}^{}^{}'.format(ba.name, shape, bb.name if bb else '')
self._joints[name] = Joint.build(
shape, name, self, body_a=ba, body_b=bb, **kwargs)
return self._joints[name]
|
[
"Create",
"a",
"new",
"joint",
"that",
"connects",
"two",
"bodies",
"together",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L1245-L1277
|
[
"def",
"join",
"(",
"self",
",",
"shape",
",",
"body_a",
",",
"body_b",
"=",
"None",
",",
"name",
"=",
"None",
",",
"*",
"*",
"kwargs",
")",
":",
"ba",
"=",
"self",
".",
"get_body",
"(",
"body_a",
")",
"bb",
"=",
"self",
".",
"get_body",
"(",
"body_b",
")",
"shape",
"=",
"shape",
".",
"lower",
"(",
")",
"if",
"name",
"is",
"None",
":",
"name",
"=",
"'{}^{}^{}'",
".",
"format",
"(",
"ba",
".",
"name",
",",
"shape",
",",
"bb",
".",
"name",
"if",
"bb",
"else",
"''",
")",
"self",
".",
"_joints",
"[",
"name",
"]",
"=",
"Joint",
".",
"build",
"(",
"shape",
",",
"name",
",",
"self",
",",
"body_a",
"=",
"ba",
",",
"body_b",
"=",
"bb",
",",
"*",
"*",
"kwargs",
")",
"return",
"self",
".",
"_joints",
"[",
"name",
"]"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
World.move_next_to
|
Move one body to be near another one.
After moving, the location described by ``offset_a`` on ``body_a`` will
be coincident with the location described by ``offset_b`` on ``body_b``.
Parameters
----------
body_a : str or :class:`Body`
The body to use as a reference for moving the other body. If this is
a string, it is treated as the name of a body to look up in the
world.
body_b : str or :class:`Body`
The body to move next to ``body_a``. If this is a string, it is
treated as the name of a body to look up in the world.
offset_a : 3-tuple of float
The offset of the anchor point, given as a relative fraction of the
size of ``body_a``. See :func:`Body.relative_offset_to_world`.
offset_b : 3-tuple of float
The offset of the anchor point, given as a relative fraction of the
size of ``body_b``.
Returns
-------
anchor : 3-tuple of float
The location of the shared point, which is often useful to use as a
joint anchor.
|
pagoda/physics.py
|
def move_next_to(self, body_a, body_b, offset_a, offset_b):
'''Move one body to be near another one.
After moving, the location described by ``offset_a`` on ``body_a`` will
be coincident with the location described by ``offset_b`` on ``body_b``.
Parameters
----------
body_a : str or :class:`Body`
The body to use as a reference for moving the other body. If this is
a string, it is treated as the name of a body to look up in the
world.
body_b : str or :class:`Body`
The body to move next to ``body_a``. If this is a string, it is
treated as the name of a body to look up in the world.
offset_a : 3-tuple of float
The offset of the anchor point, given as a relative fraction of the
size of ``body_a``. See :func:`Body.relative_offset_to_world`.
offset_b : 3-tuple of float
The offset of the anchor point, given as a relative fraction of the
size of ``body_b``.
Returns
-------
anchor : 3-tuple of float
The location of the shared point, which is often useful to use as a
joint anchor.
'''
ba = self.get_body(body_a)
bb = self.get_body(body_b)
if ba is None:
return bb.relative_offset_to_world(offset_b)
if bb is None:
return ba.relative_offset_to_world(offset_a)
anchor = ba.relative_offset_to_world(offset_a)
offset = bb.relative_offset_to_world(offset_b)
bb.position = bb.position + anchor - offset
return anchor
|
def move_next_to(self, body_a, body_b, offset_a, offset_b):
'''Move one body to be near another one.
After moving, the location described by ``offset_a`` on ``body_a`` will
be coincident with the location described by ``offset_b`` on ``body_b``.
Parameters
----------
body_a : str or :class:`Body`
The body to use as a reference for moving the other body. If this is
a string, it is treated as the name of a body to look up in the
world.
body_b : str or :class:`Body`
The body to move next to ``body_a``. If this is a string, it is
treated as the name of a body to look up in the world.
offset_a : 3-tuple of float
The offset of the anchor point, given as a relative fraction of the
size of ``body_a``. See :func:`Body.relative_offset_to_world`.
offset_b : 3-tuple of float
The offset of the anchor point, given as a relative fraction of the
size of ``body_b``.
Returns
-------
anchor : 3-tuple of float
The location of the shared point, which is often useful to use as a
joint anchor.
'''
ba = self.get_body(body_a)
bb = self.get_body(body_b)
if ba is None:
return bb.relative_offset_to_world(offset_b)
if bb is None:
return ba.relative_offset_to_world(offset_a)
anchor = ba.relative_offset_to_world(offset_a)
offset = bb.relative_offset_to_world(offset_b)
bb.position = bb.position + anchor - offset
return anchor
|
[
"Move",
"one",
"body",
"to",
"be",
"near",
"another",
"one",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L1279-L1316
|
[
"def",
"move_next_to",
"(",
"self",
",",
"body_a",
",",
"body_b",
",",
"offset_a",
",",
"offset_b",
")",
":",
"ba",
"=",
"self",
".",
"get_body",
"(",
"body_a",
")",
"bb",
"=",
"self",
".",
"get_body",
"(",
"body_b",
")",
"if",
"ba",
"is",
"None",
":",
"return",
"bb",
".",
"relative_offset_to_world",
"(",
"offset_b",
")",
"if",
"bb",
"is",
"None",
":",
"return",
"ba",
".",
"relative_offset_to_world",
"(",
"offset_a",
")",
"anchor",
"=",
"ba",
".",
"relative_offset_to_world",
"(",
"offset_a",
")",
"offset",
"=",
"bb",
".",
"relative_offset_to_world",
"(",
"offset_b",
")",
"bb",
".",
"position",
"=",
"bb",
".",
"position",
"+",
"anchor",
"-",
"offset",
"return",
"anchor"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
World.set_body_states
|
Set the states of some bodies in the world.
Parameters
----------
states : sequence of states
A complete state tuple for one or more bodies in the world. See
:func:`get_body_states`.
|
pagoda/physics.py
|
def set_body_states(self, states):
'''Set the states of some bodies in the world.
Parameters
----------
states : sequence of states
A complete state tuple for one or more bodies in the world. See
:func:`get_body_states`.
'''
for state in states:
self.get_body(state.name).state = state
|
def set_body_states(self, states):
'''Set the states of some bodies in the world.
Parameters
----------
states : sequence of states
A complete state tuple for one or more bodies in the world. See
:func:`get_body_states`.
'''
for state in states:
self.get_body(state.name).state = state
|
[
"Set",
"the",
"states",
"of",
"some",
"bodies",
"in",
"the",
"world",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L1329-L1339
|
[
"def",
"set_body_states",
"(",
"self",
",",
"states",
")",
":",
"for",
"state",
"in",
"states",
":",
"self",
".",
"get_body",
"(",
"state",
".",
"name",
")",
".",
"state",
"=",
"state"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
World.step
|
Step the world forward by one frame.
Parameters
----------
substeps : int, optional
Split the step into this many sub-steps. This helps to prevent the
time delta for an update from being too large.
|
pagoda/physics.py
|
def step(self, substeps=2):
'''Step the world forward by one frame.
Parameters
----------
substeps : int, optional
Split the step into this many sub-steps. This helps to prevent the
time delta for an update from being too large.
'''
self.frame_no += 1
dt = self.dt / substeps
for _ in range(substeps):
self.ode_contactgroup.empty()
self.ode_space.collide(None, self.on_collision)
self.ode_world.step(dt)
|
def step(self, substeps=2):
'''Step the world forward by one frame.
Parameters
----------
substeps : int, optional
Split the step into this many sub-steps. This helps to prevent the
time delta for an update from being too large.
'''
self.frame_no += 1
dt = self.dt / substeps
for _ in range(substeps):
self.ode_contactgroup.empty()
self.ode_space.collide(None, self.on_collision)
self.ode_world.step(dt)
|
[
"Step",
"the",
"world",
"forward",
"by",
"one",
"frame",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L1341-L1355
|
[
"def",
"step",
"(",
"self",
",",
"substeps",
"=",
"2",
")",
":",
"self",
".",
"frame_no",
"+=",
"1",
"dt",
"=",
"self",
".",
"dt",
"/",
"substeps",
"for",
"_",
"in",
"range",
"(",
"substeps",
")",
":",
"self",
".",
"ode_contactgroup",
".",
"empty",
"(",
")",
"self",
".",
"ode_space",
".",
"collide",
"(",
"None",
",",
"self",
".",
"on_collision",
")",
"self",
".",
"ode_world",
".",
"step",
"(",
"dt",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
World.on_key_press
|
Handle an otherwise unhandled keypress event (from a GUI).
|
pagoda/physics.py
|
def on_key_press(self, key, modifiers, keymap):
'''Handle an otherwise unhandled keypress event (from a GUI).'''
if key == keymap.ENTER:
self.reset()
return True
|
def on_key_press(self, key, modifiers, keymap):
'''Handle an otherwise unhandled keypress event (from a GUI).'''
if key == keymap.ENTER:
self.reset()
return True
|
[
"Handle",
"an",
"otherwise",
"unhandled",
"keypress",
"event",
"(",
"from",
"a",
"GUI",
")",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L1365-L1369
|
[
"def",
"on_key_press",
"(",
"self",
",",
"key",
",",
"modifiers",
",",
"keymap",
")",
":",
"if",
"key",
"==",
"keymap",
".",
"ENTER",
":",
"self",
".",
"reset",
"(",
")",
"return",
"True"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
World.are_connected
|
Determine whether the given bodies are currently connected.
Parameters
----------
body_a : str or :class:`Body`
One body to test for connectedness. If this is a string, it is
treated as the name of a body to look up.
body_b : str or :class:`Body`
One body to test for connectedness. If this is a string, it is
treated as the name of a body to look up.
Returns
-------
connected : bool
Return True iff the two bodies are connected.
|
pagoda/physics.py
|
def are_connected(self, body_a, body_b):
'''Determine whether the given bodies are currently connected.
Parameters
----------
body_a : str or :class:`Body`
One body to test for connectedness. If this is a string, it is
treated as the name of a body to look up.
body_b : str or :class:`Body`
One body to test for connectedness. If this is a string, it is
treated as the name of a body to look up.
Returns
-------
connected : bool
Return True iff the two bodies are connected.
'''
return bool(ode.areConnected(
self.get_body(body_a).ode_body,
self.get_body(body_b).ode_body))
|
def are_connected(self, body_a, body_b):
'''Determine whether the given bodies are currently connected.
Parameters
----------
body_a : str or :class:`Body`
One body to test for connectedness. If this is a string, it is
treated as the name of a body to look up.
body_b : str or :class:`Body`
One body to test for connectedness. If this is a string, it is
treated as the name of a body to look up.
Returns
-------
connected : bool
Return True iff the two bodies are connected.
'''
return bool(ode.areConnected(
self.get_body(body_a).ode_body,
self.get_body(body_b).ode_body))
|
[
"Determine",
"whether",
"the",
"given",
"bodies",
"are",
"currently",
"connected",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L1371-L1390
|
[
"def",
"are_connected",
"(",
"self",
",",
"body_a",
",",
"body_b",
")",
":",
"return",
"bool",
"(",
"ode",
".",
"areConnected",
"(",
"self",
".",
"get_body",
"(",
"body_a",
")",
".",
"ode_body",
",",
"self",
".",
"get_body",
"(",
"body_b",
")",
".",
"ode_body",
")",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
World.on_collision
|
Callback function for the collide() method.
Parameters
----------
args : None
Arguments passed when the callback was registered. Not used.
geom_a : ODE geometry
The geometry object of one of the bodies that has collided.
geom_b : ODE geometry
The geometry object of one of the bodies that has collided.
|
pagoda/physics.py
|
def on_collision(self, args, geom_a, geom_b):
'''Callback function for the collide() method.
Parameters
----------
args : None
Arguments passed when the callback was registered. Not used.
geom_a : ODE geometry
The geometry object of one of the bodies that has collided.
geom_b : ODE geometry
The geometry object of one of the bodies that has collided.
'''
body_a = geom_a.getBody()
body_b = geom_b.getBody()
if ode.areConnected(body_a, body_b) or \
(body_a and body_a.isKinematic()) or \
(body_b and body_b.isKinematic()):
return
for c in ode.collide(geom_a, geom_b):
c.setBounce(self.elasticity)
c.setMu(self.friction)
ode.ContactJoint(self.ode_world, self.ode_contactgroup, c).attach(
geom_a.getBody(), geom_b.getBody())
|
def on_collision(self, args, geom_a, geom_b):
'''Callback function for the collide() method.
Parameters
----------
args : None
Arguments passed when the callback was registered. Not used.
geom_a : ODE geometry
The geometry object of one of the bodies that has collided.
geom_b : ODE geometry
The geometry object of one of the bodies that has collided.
'''
body_a = geom_a.getBody()
body_b = geom_b.getBody()
if ode.areConnected(body_a, body_b) or \
(body_a and body_a.isKinematic()) or \
(body_b and body_b.isKinematic()):
return
for c in ode.collide(geom_a, geom_b):
c.setBounce(self.elasticity)
c.setMu(self.friction)
ode.ContactJoint(self.ode_world, self.ode_contactgroup, c).attach(
geom_a.getBody(), geom_b.getBody())
|
[
"Callback",
"function",
"for",
"the",
"collide",
"()",
"method",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/physics.py#L1392-L1414
|
[
"def",
"on_collision",
"(",
"self",
",",
"args",
",",
"geom_a",
",",
"geom_b",
")",
":",
"body_a",
"=",
"geom_a",
".",
"getBody",
"(",
")",
"body_b",
"=",
"geom_b",
".",
"getBody",
"(",
")",
"if",
"ode",
".",
"areConnected",
"(",
"body_a",
",",
"body_b",
")",
"or",
"(",
"body_a",
"and",
"body_a",
".",
"isKinematic",
"(",
")",
")",
"or",
"(",
"body_b",
"and",
"body_b",
".",
"isKinematic",
"(",
")",
")",
":",
"return",
"for",
"c",
"in",
"ode",
".",
"collide",
"(",
"geom_a",
",",
"geom_b",
")",
":",
"c",
".",
"setBounce",
"(",
"self",
".",
"elasticity",
")",
"c",
".",
"setMu",
"(",
"self",
".",
"friction",
")",
"ode",
".",
"ContactJoint",
"(",
"self",
".",
"ode_world",
",",
"self",
".",
"ode_contactgroup",
",",
"c",
")",
".",
"attach",
"(",
"geom_a",
".",
"getBody",
"(",
")",
",",
"geom_b",
".",
"getBody",
"(",
")",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
record_iterator
|
Iterate over all ``<record>`` tags in `xml`.
Args:
xml (str/file): Input string with XML. UTF-8 is prefered encoding,
unicode should be ok.
Yields:
MARCXMLRecord: For each corresponding ``<record>``.
|
src/marcxml_parser/record.py
|
def record_iterator(xml):
"""
Iterate over all ``<record>`` tags in `xml`.
Args:
xml (str/file): Input string with XML. UTF-8 is prefered encoding,
unicode should be ok.
Yields:
MARCXMLRecord: For each corresponding ``<record>``.
"""
# handle file-like objects
if hasattr(xml, "read"):
xml = xml.read()
dom = None
try:
dom = dhtmlparser.parseString(xml)
except UnicodeError:
dom = dhtmlparser.parseString(xml.encode("utf-8"))
for record_xml in dom.findB("record"):
yield MARCXMLRecord(record_xml)
|
def record_iterator(xml):
"""
Iterate over all ``<record>`` tags in `xml`.
Args:
xml (str/file): Input string with XML. UTF-8 is prefered encoding,
unicode should be ok.
Yields:
MARCXMLRecord: For each corresponding ``<record>``.
"""
# handle file-like objects
if hasattr(xml, "read"):
xml = xml.read()
dom = None
try:
dom = dhtmlparser.parseString(xml)
except UnicodeError:
dom = dhtmlparser.parseString(xml.encode("utf-8"))
for record_xml in dom.findB("record"):
yield MARCXMLRecord(record_xml)
|
[
"Iterate",
"over",
"all",
"<record",
">",
"tags",
"in",
"xml",
"."
] |
edeposit/marcxml_parser
|
python
|
https://github.com/edeposit/marcxml_parser/blob/6d1c77c61fc2827b71f1b3d5aa3332d7f5807820/src/marcxml_parser/record.py#L22-L44
|
[
"def",
"record_iterator",
"(",
"xml",
")",
":",
"# handle file-like objects",
"if",
"hasattr",
"(",
"xml",
",",
"\"read\"",
")",
":",
"xml",
"=",
"xml",
".",
"read",
"(",
")",
"dom",
"=",
"None",
"try",
":",
"dom",
"=",
"dhtmlparser",
".",
"parseString",
"(",
"xml",
")",
"except",
"UnicodeError",
":",
"dom",
"=",
"dhtmlparser",
".",
"parseString",
"(",
"xml",
".",
"encode",
"(",
"\"utf-8\"",
")",
")",
"for",
"record_xml",
"in",
"dom",
".",
"findB",
"(",
"\"record\"",
")",
":",
"yield",
"MARCXMLRecord",
"(",
"record_xml",
")"
] |
6d1c77c61fc2827b71f1b3d5aa3332d7f5807820
|
valid
|
profileit
|
测试函数运行消耗情况
:param field: 输出内容排序方式。
可选参数为 "stdname", "calls", "time", "cumulative"
|
python_utls/utils/profileit.py
|
def profileit(field='cumulative'):
"""
测试函数运行消耗情况
:param field: 输出内容排序方式。
可选参数为 "stdname", "calls", "time", "cumulative"
"""
def wrapper(func):
@wraps(func)
def inner(*args, **kwargs):
pro = Profile()
pro.runcall(func, *args, **kwargs)
stats = Stats(pro)
stats.strip_dirs()
stats.sort_stats(field)
print("Profile for {}()".format(func.__name__))
stats.print_stats()
stats.print_callers()
return inner
return wrapper
|
def profileit(field='cumulative'):
"""
测试函数运行消耗情况
:param field: 输出内容排序方式。
可选参数为 "stdname", "calls", "time", "cumulative"
"""
def wrapper(func):
@wraps(func)
def inner(*args, **kwargs):
pro = Profile()
pro.runcall(func, *args, **kwargs)
stats = Stats(pro)
stats.strip_dirs()
stats.sort_stats(field)
print("Profile for {}()".format(func.__name__))
stats.print_stats()
stats.print_callers()
return inner
return wrapper
|
[
"测试函数运行消耗情况"
] |
chenjiandongx/python-utils
|
python
|
https://github.com/chenjiandongx/python-utils/blob/a5cfaaf11c7239122b6613189f32b7e6794b5829/python_utls/utils/profileit.py#L9-L28
|
[
"def",
"profileit",
"(",
"field",
"=",
"'cumulative'",
")",
":",
"def",
"wrapper",
"(",
"func",
")",
":",
"@",
"wraps",
"(",
"func",
")",
"def",
"inner",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"pro",
"=",
"Profile",
"(",
")",
"pro",
".",
"runcall",
"(",
"func",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
"stats",
"=",
"Stats",
"(",
"pro",
")",
"stats",
".",
"strip_dirs",
"(",
")",
"stats",
".",
"sort_stats",
"(",
"field",
")",
"print",
"(",
"\"Profile for {}()\"",
".",
"format",
"(",
"func",
".",
"__name__",
")",
")",
"stats",
".",
"print_stats",
"(",
")",
"stats",
".",
"print_callers",
"(",
")",
"return",
"inner",
"return",
"wrapper"
] |
a5cfaaf11c7239122b6613189f32b7e6794b5829
|
valid
|
parse
|
Load and parse a source file.
Parameters
----------
source : file
A file-like object that contains text information describing bodies and
joints to add to the world.
world : :class:`pagoda.physics.World`
The world to add objects and joints to.
jointgroup : ode.JointGroup, optional
If provided, add all joints from this parse to the given group. The
default behavior adds joints to the world without an explicit group.
density : float, optional
Default density for bodies. This is overridden if the source provides a
density or mass value for a given body.
color : tuple of floats, optional
Default color for bodies from this source. Defaults to None, which does
not assign a color to parsed bodies.
|
pagoda/parser.py
|
def parse(source, world, jointgroup=None, density=1000, color=None):
'''Load and parse a source file.
Parameters
----------
source : file
A file-like object that contains text information describing bodies and
joints to add to the world.
world : :class:`pagoda.physics.World`
The world to add objects and joints to.
jointgroup : ode.JointGroup, optional
If provided, add all joints from this parse to the given group. The
default behavior adds joints to the world without an explicit group.
density : float, optional
Default density for bodies. This is overridden if the source provides a
density or mass value for a given body.
color : tuple of floats, optional
Default color for bodies from this source. Defaults to None, which does
not assign a color to parsed bodies.
'''
visitor = Visitor(world, jointgroup, density, color)
visitor.parse(re.sub(r'#.*', ' ', source.read()))
return visitor
|
def parse(source, world, jointgroup=None, density=1000, color=None):
'''Load and parse a source file.
Parameters
----------
source : file
A file-like object that contains text information describing bodies and
joints to add to the world.
world : :class:`pagoda.physics.World`
The world to add objects and joints to.
jointgroup : ode.JointGroup, optional
If provided, add all joints from this parse to the given group. The
default behavior adds joints to the world without an explicit group.
density : float, optional
Default density for bodies. This is overridden if the source provides a
density or mass value for a given body.
color : tuple of floats, optional
Default color for bodies from this source. Defaults to None, which does
not assign a color to parsed bodies.
'''
visitor = Visitor(world, jointgroup, density, color)
visitor.parse(re.sub(r'#.*', ' ', source.read()))
return visitor
|
[
"Load",
"and",
"parse",
"a",
"source",
"file",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/parser.py#L14-L36
|
[
"def",
"parse",
"(",
"source",
",",
"world",
",",
"jointgroup",
"=",
"None",
",",
"density",
"=",
"1000",
",",
"color",
"=",
"None",
")",
":",
"visitor",
"=",
"Visitor",
"(",
"world",
",",
"jointgroup",
",",
"density",
",",
"color",
")",
"visitor",
".",
"parse",
"(",
"re",
".",
"sub",
"(",
"r'#.*'",
",",
"' '",
",",
"source",
".",
"read",
"(",
")",
")",
")",
"return",
"visitor"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
parse_asf
|
Load and parse a source file.
Parameters
----------
source : file
A file-like object that contains text information describing bodies and
joints to add to the world.
world : :class:`pagoda.physics.World`
The world to add objects and joints to.
jointgroup : ode.JointGroup, optional
If provided, add all joints from this parse to the given group. The
default behavior adds joints to the world without an explicit group.
density : float, optional
Default density for bodies. This is overridden if the source provides a
density or mass value for a given body.
color : tuple of floats, optional
Default color for bodies from this source. Defaults to None, which does
not assign a color to parsed bodies.
|
pagoda/parser.py
|
def parse_asf(source, world, jointgroup=None, density=1000, color=None):
'''Load and parse a source file.
Parameters
----------
source : file
A file-like object that contains text information describing bodies and
joints to add to the world.
world : :class:`pagoda.physics.World`
The world to add objects and joints to.
jointgroup : ode.JointGroup, optional
If provided, add all joints from this parse to the given group. The
default behavior adds joints to the world without an explicit group.
density : float, optional
Default density for bodies. This is overridden if the source provides a
density or mass value for a given body.
color : tuple of floats, optional
Default color for bodies from this source. Defaults to None, which does
not assign a color to parsed bodies.
'''
visitor = AsfVisitor(world, jointgroup, density, color)
visitor.parse(re.sub(r'#.*', ' ', source.read()))
return visitor
|
def parse_asf(source, world, jointgroup=None, density=1000, color=None):
'''Load and parse a source file.
Parameters
----------
source : file
A file-like object that contains text information describing bodies and
joints to add to the world.
world : :class:`pagoda.physics.World`
The world to add objects and joints to.
jointgroup : ode.JointGroup, optional
If provided, add all joints from this parse to the given group. The
default behavior adds joints to the world without an explicit group.
density : float, optional
Default density for bodies. This is overridden if the source provides a
density or mass value for a given body.
color : tuple of floats, optional
Default color for bodies from this source. Defaults to None, which does
not assign a color to parsed bodies.
'''
visitor = AsfVisitor(world, jointgroup, density, color)
visitor.parse(re.sub(r'#.*', ' ', source.read()))
return visitor
|
[
"Load",
"and",
"parse",
"a",
"source",
"file",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/parser.py#L263-L285
|
[
"def",
"parse_asf",
"(",
"source",
",",
"world",
",",
"jointgroup",
"=",
"None",
",",
"density",
"=",
"1000",
",",
"color",
"=",
"None",
")",
":",
"visitor",
"=",
"AsfVisitor",
"(",
"world",
",",
"jointgroup",
",",
"density",
",",
"color",
")",
"visitor",
".",
"parse",
"(",
"re",
".",
"sub",
"(",
"r'#.*'",
",",
"' '",
",",
"source",
".",
"read",
"(",
")",
")",
")",
"return",
"visitor"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
parse_amc
|
Parse an AMC motion capture data file.
Parameters
----------
source : file
A file-like object that contains AMC motion capture text.
Yields
------
frame : dict
Yields a series of motion capture frames. Each frame is a dictionary
that maps a bone name to a list of the DOF configurations for that bone.
|
pagoda/parser.py
|
def parse_amc(source):
'''Parse an AMC motion capture data file.
Parameters
----------
source : file
A file-like object that contains AMC motion capture text.
Yields
------
frame : dict
Yields a series of motion capture frames. Each frame is a dictionary
that maps a bone name to a list of the DOF configurations for that bone.
'''
lines = 0
frames = 1
frame = {}
degrees = False
for line in source:
lines += 1
line = line.split('#')[0].strip()
if not line:
continue
if line.startswith(':'):
if line.lower().startswith(':deg'):
degrees = True
continue
if line.isdigit():
if int(line) != frames:
raise RuntimeError(
'frame mismatch on line {}: '
'produced {} but file claims {}'.format(lines, frames, line))
yield frame
frames += 1
frame = {}
continue
fields = line.split()
frame[fields[0]] = list(map(float, fields[1:]))
|
def parse_amc(source):
'''Parse an AMC motion capture data file.
Parameters
----------
source : file
A file-like object that contains AMC motion capture text.
Yields
------
frame : dict
Yields a series of motion capture frames. Each frame is a dictionary
that maps a bone name to a list of the DOF configurations for that bone.
'''
lines = 0
frames = 1
frame = {}
degrees = False
for line in source:
lines += 1
line = line.split('#')[0].strip()
if not line:
continue
if line.startswith(':'):
if line.lower().startswith(':deg'):
degrees = True
continue
if line.isdigit():
if int(line) != frames:
raise RuntimeError(
'frame mismatch on line {}: '
'produced {} but file claims {}'.format(lines, frames, line))
yield frame
frames += 1
frame = {}
continue
fields = line.split()
frame[fields[0]] = list(map(float, fields[1:]))
|
[
"Parse",
"an",
"AMC",
"motion",
"capture",
"data",
"file",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/parser.py#L486-L523
|
[
"def",
"parse_amc",
"(",
"source",
")",
":",
"lines",
"=",
"0",
"frames",
"=",
"1",
"frame",
"=",
"{",
"}",
"degrees",
"=",
"False",
"for",
"line",
"in",
"source",
":",
"lines",
"+=",
"1",
"line",
"=",
"line",
".",
"split",
"(",
"'#'",
")",
"[",
"0",
"]",
".",
"strip",
"(",
")",
"if",
"not",
"line",
":",
"continue",
"if",
"line",
".",
"startswith",
"(",
"':'",
")",
":",
"if",
"line",
".",
"lower",
"(",
")",
".",
"startswith",
"(",
"':deg'",
")",
":",
"degrees",
"=",
"True",
"continue",
"if",
"line",
".",
"isdigit",
"(",
")",
":",
"if",
"int",
"(",
"line",
")",
"!=",
"frames",
":",
"raise",
"RuntimeError",
"(",
"'frame mismatch on line {}: '",
"'produced {} but file claims {}'",
".",
"format",
"(",
"lines",
",",
"frames",
",",
"line",
")",
")",
"yield",
"frame",
"frames",
"+=",
"1",
"frame",
"=",
"{",
"}",
"continue",
"fields",
"=",
"line",
".",
"split",
"(",
")",
"frame",
"[",
"fields",
"[",
"0",
"]",
"]",
"=",
"list",
"(",
"map",
"(",
"float",
",",
"fields",
"[",
"1",
":",
"]",
")",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
AsfVisitor.create_bodies
|
Traverse the bone hierarchy and create physics bodies.
|
pagoda/parser.py
|
def create_bodies(self, translate=(0, 1, 0), size=0.1):
'''Traverse the bone hierarchy and create physics bodies.'''
stack = [('root', 0, self.root['position'] + translate)]
while stack:
name, depth, end = stack.pop()
for child in self.hierarchy.get(name, ()):
stack.append((child, depth + 1, end + self.bones[child].end))
if name not in self.bones:
continue
bone = self.bones[name]
body = self.world.create_body(
'box', name=bone.name, density=self.density,
lengths=(size, size, bone.length))
body.color = self.color
# move the center of the body to the halfway point between
# the parent (joint) and child (joint).
x, y, z = end - bone.direction * bone.length / 2
# swizzle y and z -- asf uses y as up, but we use z as up.
body.position = x, z, y
# compute an orthonormal (rotation) matrix using the ground and
# the body. this is mind-bending but seems to work.
u = bone.direction
v = np.cross(u, [0, 1, 0])
l = np.linalg.norm(v)
if l > 0:
v /= l
rot = np.vstack([np.cross(u, v), v, u]).T
swizzle = [[1, 0, 0], [0, 0, 1], [0, -1, 0]]
body.rotation = np.dot(swizzle, rot)
self.bodies.append(body)
|
def create_bodies(self, translate=(0, 1, 0), size=0.1):
'''Traverse the bone hierarchy and create physics bodies.'''
stack = [('root', 0, self.root['position'] + translate)]
while stack:
name, depth, end = stack.pop()
for child in self.hierarchy.get(name, ()):
stack.append((child, depth + 1, end + self.bones[child].end))
if name not in self.bones:
continue
bone = self.bones[name]
body = self.world.create_body(
'box', name=bone.name, density=self.density,
lengths=(size, size, bone.length))
body.color = self.color
# move the center of the body to the halfway point between
# the parent (joint) and child (joint).
x, y, z = end - bone.direction * bone.length / 2
# swizzle y and z -- asf uses y as up, but we use z as up.
body.position = x, z, y
# compute an orthonormal (rotation) matrix using the ground and
# the body. this is mind-bending but seems to work.
u = bone.direction
v = np.cross(u, [0, 1, 0])
l = np.linalg.norm(v)
if l > 0:
v /= l
rot = np.vstack([np.cross(u, v), v, u]).T
swizzle = [[1, 0, 0], [0, 0, 1], [0, -1, 0]]
body.rotation = np.dot(swizzle, rot)
self.bodies.append(body)
|
[
"Traverse",
"the",
"bone",
"hierarchy",
"and",
"create",
"physics",
"bodies",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/parser.py#L430-L466
|
[
"def",
"create_bodies",
"(",
"self",
",",
"translate",
"=",
"(",
"0",
",",
"1",
",",
"0",
")",
",",
"size",
"=",
"0.1",
")",
":",
"stack",
"=",
"[",
"(",
"'root'",
",",
"0",
",",
"self",
".",
"root",
"[",
"'position'",
"]",
"+",
"translate",
")",
"]",
"while",
"stack",
":",
"name",
",",
"depth",
",",
"end",
"=",
"stack",
".",
"pop",
"(",
")",
"for",
"child",
"in",
"self",
".",
"hierarchy",
".",
"get",
"(",
"name",
",",
"(",
")",
")",
":",
"stack",
".",
"append",
"(",
"(",
"child",
",",
"depth",
"+",
"1",
",",
"end",
"+",
"self",
".",
"bones",
"[",
"child",
"]",
".",
"end",
")",
")",
"if",
"name",
"not",
"in",
"self",
".",
"bones",
":",
"continue",
"bone",
"=",
"self",
".",
"bones",
"[",
"name",
"]",
"body",
"=",
"self",
".",
"world",
".",
"create_body",
"(",
"'box'",
",",
"name",
"=",
"bone",
".",
"name",
",",
"density",
"=",
"self",
".",
"density",
",",
"lengths",
"=",
"(",
"size",
",",
"size",
",",
"bone",
".",
"length",
")",
")",
"body",
".",
"color",
"=",
"self",
".",
"color",
"# move the center of the body to the halfway point between",
"# the parent (joint) and child (joint).",
"x",
",",
"y",
",",
"z",
"=",
"end",
"-",
"bone",
".",
"direction",
"*",
"bone",
".",
"length",
"/",
"2",
"# swizzle y and z -- asf uses y as up, but we use z as up.",
"body",
".",
"position",
"=",
"x",
",",
"z",
",",
"y",
"# compute an orthonormal (rotation) matrix using the ground and",
"# the body. this is mind-bending but seems to work.",
"u",
"=",
"bone",
".",
"direction",
"v",
"=",
"np",
".",
"cross",
"(",
"u",
",",
"[",
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",",
"1",
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")",
"l",
"=",
"np",
".",
"linalg",
".",
"norm",
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"v",
")",
"if",
"l",
">",
"0",
":",
"v",
"/=",
"l",
"rot",
"=",
"np",
".",
"vstack",
"(",
"[",
"np",
".",
"cross",
"(",
"u",
",",
"v",
")",
",",
"v",
",",
"u",
"]",
")",
".",
"T",
"swizzle",
"=",
"[",
"[",
"1",
",",
"0",
",",
"0",
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",",
"[",
"0",
",",
"0",
",",
"1",
"]",
",",
"[",
"0",
",",
"-",
"1",
",",
"0",
"]",
"]",
"body",
".",
"rotation",
"=",
"np",
".",
"dot",
"(",
"swizzle",
",",
"rot",
")",
"self",
".",
"bodies",
".",
"append",
"(",
"body",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
AsfVisitor.create_joints
|
Traverse the bone hierarchy and create physics joints.
|
pagoda/parser.py
|
def create_joints(self):
'''Traverse the bone hierarchy and create physics joints.'''
stack = ['root']
while stack:
parent = stack.pop()
for child in self.hierarchy.get(parent, ()):
stack.append(child)
if parent not in self.bones:
continue
bone = self.bones[parent]
body = [b for b in self.bodies if b.name == parent][0]
for child in self.hierarchy.get(parent, ()):
child_bone = self.bones[child]
child_body = [b for b in self.bodies if b.name == child][0]
shape = ('', 'hinge', 'universal', 'ball')[len(child_bone.dof)]
self.joints.append(self.world.join(shape, body, child_body))
|
def create_joints(self):
'''Traverse the bone hierarchy and create physics joints.'''
stack = ['root']
while stack:
parent = stack.pop()
for child in self.hierarchy.get(parent, ()):
stack.append(child)
if parent not in self.bones:
continue
bone = self.bones[parent]
body = [b for b in self.bodies if b.name == parent][0]
for child in self.hierarchy.get(parent, ()):
child_bone = self.bones[child]
child_body = [b for b in self.bodies if b.name == child][0]
shape = ('', 'hinge', 'universal', 'ball')[len(child_bone.dof)]
self.joints.append(self.world.join(shape, body, child_body))
|
[
"Traverse",
"the",
"bone",
"hierarchy",
"and",
"create",
"physics",
"joints",
"."
] |
EmbodiedCognition/pagoda
|
python
|
https://github.com/EmbodiedCognition/pagoda/blob/8892f847026d98aba8646ecbc4589397e6dec7bd/pagoda/parser.py#L468-L483
|
[
"def",
"create_joints",
"(",
"self",
")",
":",
"stack",
"=",
"[",
"'root'",
"]",
"while",
"stack",
":",
"parent",
"=",
"stack",
".",
"pop",
"(",
")",
"for",
"child",
"in",
"self",
".",
"hierarchy",
".",
"get",
"(",
"parent",
",",
"(",
")",
")",
":",
"stack",
".",
"append",
"(",
"child",
")",
"if",
"parent",
"not",
"in",
"self",
".",
"bones",
":",
"continue",
"bone",
"=",
"self",
".",
"bones",
"[",
"parent",
"]",
"body",
"=",
"[",
"b",
"for",
"b",
"in",
"self",
".",
"bodies",
"if",
"b",
".",
"name",
"==",
"parent",
"]",
"[",
"0",
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"in",
"self",
".",
"hierarchy",
".",
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"parent",
",",
"(",
")",
")",
":",
"child_bone",
"=",
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"child",
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"child_body",
"=",
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"for",
"b",
"in",
"self",
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"bodies",
"if",
"b",
".",
"name",
"==",
"child",
"]",
"[",
"0",
"]",
"shape",
"=",
"(",
"''",
",",
"'hinge'",
",",
"'universal'",
",",
"'ball'",
")",
"[",
"len",
"(",
"child_bone",
".",
"dof",
")",
"]",
"self",
".",
"joints",
".",
"append",
"(",
"self",
".",
"world",
".",
"join",
"(",
"shape",
",",
"body",
",",
"child_body",
")",
")"
] |
8892f847026d98aba8646ecbc4589397e6dec7bd
|
valid
|
format_cookies
|
将 cookie 字符串转化为字典
:param path: cookies 文件路径
:return: cookies 字典
|
python_utls/utils/misc.py
|
def format_cookies(path):
"""
将 cookie 字符串转化为字典
:param path: cookies 文件路径
:return: cookies 字典
"""
with open(path, 'r') as f:
_cookies = {}
for row in f.read().split(';'):
k, v = row.strip().split('=', 1)
_cookies[k] = v
return _cookies
|
def format_cookies(path):
"""
将 cookie 字符串转化为字典
:param path: cookies 文件路径
:return: cookies 字典
"""
with open(path, 'r') as f:
_cookies = {}
for row in f.read().split(';'):
k, v = row.strip().split('=', 1)
_cookies[k] = v
return _cookies
|
[
"将",
"cookie",
"字符串转化为字典"
] |
chenjiandongx/python-utils
|
python
|
https://github.com/chenjiandongx/python-utils/blob/a5cfaaf11c7239122b6613189f32b7e6794b5829/python_utls/utils/misc.py#L7-L19
|
[
"def",
"format_cookies",
"(",
"path",
")",
":",
"with",
"open",
"(",
"path",
",",
"'r'",
")",
"as",
"f",
":",
"_cookies",
"=",
"{",
"}",
"for",
"row",
"in",
"f",
".",
"read",
"(",
")",
".",
"split",
"(",
"';'",
")",
":",
"k",
",",
"v",
"=",
"row",
".",
"strip",
"(",
")",
".",
"split",
"(",
"'='",
",",
"1",
")",
"_cookies",
"[",
"k",
"]",
"=",
"v",
"return",
"_cookies"
] |
a5cfaaf11c7239122b6613189f32b7e6794b5829
|
valid
|
delete_empty_dir
|
删除空目录
:param directory: 目录路径
|
python_utls/utils/misc.py
|
def delete_empty_dir(directory):
"""
删除空目录
:param directory: 目录路径
"""
if os.path.exists(directory):
if os.path.isdir(directory):
for d in os.listdir(directory):
path = os.path.join(directory, d)
if os.path.isdir(path):
delete_empty_dir(path)
if not os.listdir(directory):
os.rmdir(directory)
print("Remove the empty directory: " + directory)
else:
print("The directory is not exist!")
|
def delete_empty_dir(directory):
"""
删除空目录
:param directory: 目录路径
"""
if os.path.exists(directory):
if os.path.isdir(directory):
for d in os.listdir(directory):
path = os.path.join(directory, d)
if os.path.isdir(path):
delete_empty_dir(path)
if not os.listdir(directory):
os.rmdir(directory)
print("Remove the empty directory: " + directory)
else:
print("The directory is not exist!")
|
[
"删除空目录"
] |
chenjiandongx/python-utils
|
python
|
https://github.com/chenjiandongx/python-utils/blob/a5cfaaf11c7239122b6613189f32b7e6794b5829/python_utls/utils/misc.py#L22-L39
|
[
"def",
"delete_empty_dir",
"(",
"directory",
")",
":",
"if",
"os",
".",
"path",
".",
"exists",
"(",
"directory",
")",
":",
"if",
"os",
".",
"path",
".",
"isdir",
"(",
"directory",
")",
":",
"for",
"d",
"in",
"os",
".",
"listdir",
"(",
"directory",
")",
":",
"path",
"=",
"os",
".",
"path",
".",
"join",
"(",
"directory",
",",
"d",
")",
"if",
"os",
".",
"path",
".",
"isdir",
"(",
"path",
")",
":",
"delete_empty_dir",
"(",
"path",
")",
"if",
"not",
"os",
".",
"listdir",
"(",
"directory",
")",
":",
"os",
".",
"rmdir",
"(",
"directory",
")",
"print",
"(",
"\"Remove the empty directory: \"",
"+",
"directory",
")",
"else",
":",
"print",
"(",
"\"The directory is not exist!\"",
")"
] |
a5cfaaf11c7239122b6613189f32b7e6794b5829
|
valid
|
MARCXMLQuery._parse_corporations
|
Parse informations about corporations from given field identified
by `datafield` parameter.
Args:
datafield (str): MARC field ID ("``110``", "``610``", etc..)
subfield (str): MARC subfield ID with name, which is typically
stored in "``a``" subfield.
roles (str): specify which roles you need. Set to ``["any"]`` for
any role, ``["dst"]`` for distributors, etc.. For
details, see
http://www.loc.gov/marc/relators/relaterm.html
Returns:
list: :class:`Corporation` objects.
|
src/marcxml_parser/query.py
|
def _parse_corporations(self, datafield, subfield, roles=["any"]):
"""
Parse informations about corporations from given field identified
by `datafield` parameter.
Args:
datafield (str): MARC field ID ("``110``", "``610``", etc..)
subfield (str): MARC subfield ID with name, which is typically
stored in "``a``" subfield.
roles (str): specify which roles you need. Set to ``["any"]`` for
any role, ``["dst"]`` for distributors, etc.. For
details, see
http://www.loc.gov/marc/relators/relaterm.html
Returns:
list: :class:`Corporation` objects.
"""
if len(datafield) != 3:
raise ValueError(
"datafield parameter have to be exactly 3 chars long!"
)
if len(subfield) != 1:
raise ValueError(
"Bad subfield specification - subield have to be 3 chars long!"
)
parsed_corporations = []
for corporation in self.get_subfields(datafield, subfield):
other_subfields = corporation.other_subfields
# check if corporation have at least one of the roles specified in
# 'roles' parameter of function
if "4" in other_subfields and roles != ["any"]:
corp_roles = other_subfields["4"] # list of role parameters
relevant = any(map(lambda role: role in roles, corp_roles))
# skip non-relevant corporations
if not relevant:
continue
name = ""
place = ""
date = ""
name = corporation
if "c" in other_subfields:
place = ",".join(other_subfields["c"])
if "d" in other_subfields:
date = ",".join(other_subfields["d"])
parsed_corporations.append(Corporation(name, place, date))
return parsed_corporations
|
def _parse_corporations(self, datafield, subfield, roles=["any"]):
"""
Parse informations about corporations from given field identified
by `datafield` parameter.
Args:
datafield (str): MARC field ID ("``110``", "``610``", etc..)
subfield (str): MARC subfield ID with name, which is typically
stored in "``a``" subfield.
roles (str): specify which roles you need. Set to ``["any"]`` for
any role, ``["dst"]`` for distributors, etc.. For
details, see
http://www.loc.gov/marc/relators/relaterm.html
Returns:
list: :class:`Corporation` objects.
"""
if len(datafield) != 3:
raise ValueError(
"datafield parameter have to be exactly 3 chars long!"
)
if len(subfield) != 1:
raise ValueError(
"Bad subfield specification - subield have to be 3 chars long!"
)
parsed_corporations = []
for corporation in self.get_subfields(datafield, subfield):
other_subfields = corporation.other_subfields
# check if corporation have at least one of the roles specified in
# 'roles' parameter of function
if "4" in other_subfields and roles != ["any"]:
corp_roles = other_subfields["4"] # list of role parameters
relevant = any(map(lambda role: role in roles, corp_roles))
# skip non-relevant corporations
if not relevant:
continue
name = ""
place = ""
date = ""
name = corporation
if "c" in other_subfields:
place = ",".join(other_subfields["c"])
if "d" in other_subfields:
date = ",".join(other_subfields["d"])
parsed_corporations.append(Corporation(name, place, date))
return parsed_corporations
|
[
"Parse",
"informations",
"about",
"corporations",
"from",
"given",
"field",
"identified",
"by",
"datafield",
"parameter",
"."
] |
edeposit/marcxml_parser
|
python
|
https://github.com/edeposit/marcxml_parser/blob/6d1c77c61fc2827b71f1b3d5aa3332d7f5807820/src/marcxml_parser/query.py#L40-L93
|
[
"def",
"_parse_corporations",
"(",
"self",
",",
"datafield",
",",
"subfield",
",",
"roles",
"=",
"[",
"\"any\"",
"]",
")",
":",
"if",
"len",
"(",
"datafield",
")",
"!=",
"3",
":",
"raise",
"ValueError",
"(",
"\"datafield parameter have to be exactly 3 chars long!\"",
")",
"if",
"len",
"(",
"subfield",
")",
"!=",
"1",
":",
"raise",
"ValueError",
"(",
"\"Bad subfield specification - subield have to be 3 chars long!\"",
")",
"parsed_corporations",
"=",
"[",
"]",
"for",
"corporation",
"in",
"self",
".",
"get_subfields",
"(",
"datafield",
",",
"subfield",
")",
":",
"other_subfields",
"=",
"corporation",
".",
"other_subfields",
"# check if corporation have at least one of the roles specified in",
"# 'roles' parameter of function",
"if",
"\"4\"",
"in",
"other_subfields",
"and",
"roles",
"!=",
"[",
"\"any\"",
"]",
":",
"corp_roles",
"=",
"other_subfields",
"[",
"\"4\"",
"]",
"# list of role parameters",
"relevant",
"=",
"any",
"(",
"map",
"(",
"lambda",
"role",
":",
"role",
"in",
"roles",
",",
"corp_roles",
")",
")",
"# skip non-relevant corporations",
"if",
"not",
"relevant",
":",
"continue",
"name",
"=",
"\"\"",
"place",
"=",
"\"\"",
"date",
"=",
"\"\"",
"name",
"=",
"corporation",
"if",
"\"c\"",
"in",
"other_subfields",
":",
"place",
"=",
"\",\"",
".",
"join",
"(",
"other_subfields",
"[",
"\"c\"",
"]",
")",
"if",
"\"d\"",
"in",
"other_subfields",
":",
"date",
"=",
"\",\"",
".",
"join",
"(",
"other_subfields",
"[",
"\"d\"",
"]",
")",
"parsed_corporations",
".",
"append",
"(",
"Corporation",
"(",
"name",
",",
"place",
",",
"date",
")",
")",
"return",
"parsed_corporations"
] |
6d1c77c61fc2827b71f1b3d5aa3332d7f5807820
|
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