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NervanaSystems/neon
|
8c3fb8a93b4a89303467b25817c60536542d08bd
|
neon/data/imagecaption.py
|
python
|
Flickr8k.__init__
|
(self, path='.', max_images=-1)
|
[] |
def __init__(self, path='.', max_images=-1):
url = 'https://s3-us-west-1.amazonaws.com/neon-stockdatasets/image-caption'
super(Flickr8k, self).__init__('flickr8k.zip',
url,
49165563,
path=path)
self.max_images = max_images
|
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https://github.com/NervanaSystems/neon/blob/8c3fb8a93b4a89303467b25817c60536542d08bd/neon/data/imagecaption.py#L378-L384
|
||||
circuits/circuits
|
a1c404174835bc94bacb4b090280999d90f14e3b
|
circuits/net/events.py
|
python
|
close.__init__
|
(self, *args)
|
x.__init__(...) initializes x; see x.__class__.__doc__ for signature
|
x.__init__(...) initializes x; see x.__class__.__doc__ for signature
|
[
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] |
def __init__(self, *args):
"x.__init__(...) initializes x; see x.__class__.__doc__ for signature"
super(close, self).__init__(*args)
|
[
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https://github.com/circuits/circuits/blob/a1c404174835bc94bacb4b090280999d90f14e3b/circuits/net/events.py#L204-L207
|
||
fake-name/ReadableWebProxy
|
ed5c7abe38706acc2684a1e6cd80242a03c5f010
|
WebMirror/management/rss_parser_funcs/feed_parse_extractOtomeshishizaWordpressCom.py
|
python
|
extractOtomeshishizaWordpressCom
|
(item)
|
return False
|
Parser for 'otomeshishiza.wordpress.com'
|
Parser for 'otomeshishiza.wordpress.com'
|
[
"Parser",
"for",
"otomeshishiza",
".",
"wordpress",
".",
"com"
] |
def extractOtomeshishizaWordpressCom(item):
'''
Parser for 'otomeshishiza.wordpress.com'
'''
vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title'])
if not (chp or vol) or "preview" in item['title'].lower():
return None
if item['title'].startswith("Protected: "):
return None
tagmap = [
('Love You 59 Seconds', '[Online Gaming] Love You 59 Seconds', 'translated'),
('The Pregnant Woman Next Door How Are You Doing?', 'The Pregnant Woman Next Door, How Are You Doing?', 'translated'),
('Ever Since I Take Home An Adonis Who Has Lost His Business', 'Ever Since I Take Home An Adonis Who Has Lost His Business', 'translated'),
('The Love Story of A Passerby', 'The Love Story of A Passerby', 'translated'),
('The Paternity Guard', 'The Paternity Guard', 'translated'),
('Reincarnation of a Superstar', 'Reincarnation of a Superstar', 'translated'),
('Friends With Benefits', 'Friends With Benefits', 'translated'),
('YDXJ10', 'Yandai Xie Jie No. 10', 'translated'),
]
for tagname, name, tl_type in tagmap:
if tagname in item['tags']:
return buildReleaseMessageWithType(item, name, vol, chp, frag=frag, postfix=postfix, tl_type=tl_type)
return False
|
[
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",",
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"return",
"False"
] |
https://github.com/fake-name/ReadableWebProxy/blob/ed5c7abe38706acc2684a1e6cd80242a03c5f010/WebMirror/management/rss_parser_funcs/feed_parse_extractOtomeshishizaWordpressCom.py#L1-L28
|
|
IronLanguages/main
|
a949455434b1fda8c783289e897e78a9a0caabb5
|
External.LCA_RESTRICTED/Languages/CPython/27/Lib/distutils/cmd.py
|
python
|
Command.copy_tree
|
(self, infile, outfile,
preserve_mode=1, preserve_times=1, preserve_symlinks=0,
level=1)
|
return dir_util.copy_tree(
infile, outfile,
preserve_mode,preserve_times,preserve_symlinks,
not self.force,
dry_run=self.dry_run)
|
Copy an entire directory tree respecting verbose, dry-run,
and force flags.
|
Copy an entire directory tree respecting verbose, dry-run,
and force flags.
|
[
"Copy",
"an",
"entire",
"directory",
"tree",
"respecting",
"verbose",
"dry",
"-",
"run",
"and",
"force",
"flags",
"."
] |
def copy_tree(self, infile, outfile,
preserve_mode=1, preserve_times=1, preserve_symlinks=0,
level=1):
"""Copy an entire directory tree respecting verbose, dry-run,
and force flags.
"""
return dir_util.copy_tree(
infile, outfile,
preserve_mode,preserve_times,preserve_symlinks,
not self.force,
dry_run=self.dry_run)
|
[
"def",
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",",
"dry_run",
"=",
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".",
"dry_run",
")"
] |
https://github.com/IronLanguages/main/blob/a949455434b1fda8c783289e897e78a9a0caabb5/External.LCA_RESTRICTED/Languages/CPython/27/Lib/distutils/cmd.py#L367-L377
|
|
oracle/graalpython
|
577e02da9755d916056184ec441c26e00b70145c
|
graalpython/lib-python/3/idlelib/query.py
|
python
|
SectionName.entry_ok
|
(self)
|
return name
|
Return sensible ConfigParser section name or None.
|
Return sensible ConfigParser section name or None.
|
[
"Return",
"sensible",
"ConfigParser",
"section",
"name",
"or",
"None",
"."
] |
def entry_ok(self):
"Return sensible ConfigParser section name or None."
name = self.entry.get().strip()
if not name:
self.showerror('no name specified.')
return None
elif len(name)>30:
self.showerror('name is longer than 30 characters.')
return None
elif name in self.used_names:
self.showerror('name is already in use.')
return None
return name
|
[
"def",
"entry_ok",
"(",
"self",
")",
":",
"name",
"=",
"self",
".",
"entry",
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"get",
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"strip",
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")",
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"(",
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")",
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"None",
"return",
"name"
] |
https://github.com/oracle/graalpython/blob/577e02da9755d916056184ec441c26e00b70145c/graalpython/lib-python/3/idlelib/query.py#L176-L188
|
|
IronLanguages/ironpython3
|
7a7bb2a872eeab0d1009fc8a6e24dca43f65b693
|
Src/StdLib/Lib/idlelib/UndoDelegator.py
|
python
|
InsertCommand.__init__
|
(self, index1, chars, tags=None)
|
[] |
def __init__(self, index1, chars, tags=None):
Command.__init__(self, index1, None, chars, tags)
|
[
"def",
"__init__",
"(",
"self",
",",
"index1",
",",
"chars",
",",
"tags",
"=",
"None",
")",
":",
"Command",
".",
"__init__",
"(",
"self",
",",
"index1",
",",
"None",
",",
"chars",
",",
"tags",
")"
] |
https://github.com/IronLanguages/ironpython3/blob/7a7bb2a872eeab0d1009fc8a6e24dca43f65b693/Src/StdLib/Lib/idlelib/UndoDelegator.py#L210-L211
|
||||
lspvic/jupyter_tensorboard
|
329cb3f27569a0751e28552ed5bad28916f28cfe
|
jupyter_tensorboard/application.py
|
python
|
ToggleJupyterTensorboardApp.start
|
(self)
|
Perform the App's actions as configured.
|
Perform the App's actions as configured.
|
[
"Perform",
"the",
"App",
"s",
"actions",
"as",
"configured",
"."
] |
def start(self):
"""Perform the App's actions as configured."""
if self.extra_args:
sys.exit('{} takes no extra arguments'.format(self.name))
else:
if self._toggle_value:
nbextensions.install_nbextension_python(
_pkg_name, overwrite=True, symlink=False,
user=self.user, sys_prefix=self.sys_prefix, prefix=None,
nbextensions_dir=None, logger=None)
else:
nbextensions.uninstall_nbextension_python(
_pkg_name, user=self.user, sys_prefix=self.sys_prefix,
prefix=None, nbextensions_dir=None, logger=None)
self.toggle_nbextension_python(_pkg_name)
self.toggle_server_extension_python(_pkg_name)
|
[
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"self",
")",
":",
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".",
"extra_args",
":",
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".",
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"'{} takes no extra arguments'",
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"(",
"_pkg_name",
")",
"self",
".",
"toggle_server_extension_python",
"(",
"_pkg_name",
")"
] |
https://github.com/lspvic/jupyter_tensorboard/blob/329cb3f27569a0751e28552ed5bad28916f28cfe/jupyter_tensorboard/application.py#L53-L70
|
||
researchmm/tasn
|
5dba8ccc096cedc63913730eeea14a9647911129
|
tasn-mxnet/python/mxnet/autograd.py
|
python
|
set_recording
|
(is_recording)
|
return bool(prev.value)
|
Set status to recording/not recording. When recording, graph will be constructed
for gradient computation.
Parameters
----------
is_recording: bool
Returns
-------
previous state before this set.
|
Set status to recording/not recording. When recording, graph will be constructed
for gradient computation.
|
[
"Set",
"status",
"to",
"recording",
"/",
"not",
"recording",
".",
"When",
"recording",
"graph",
"will",
"be",
"constructed",
"for",
"gradient",
"computation",
"."
] |
def set_recording(is_recording): #pylint: disable=redefined-outer-name
"""Set status to recording/not recording. When recording, graph will be constructed
for gradient computation.
Parameters
----------
is_recording: bool
Returns
-------
previous state before this set.
"""
prev = ctypes.c_int()
check_call(_LIB.MXAutogradSetIsRecording(
ctypes.c_int(is_recording), ctypes.byref(prev)))
return bool(prev.value)
|
[
"def",
"set_recording",
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"is_recording",
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":",
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] |
https://github.com/researchmm/tasn/blob/5dba8ccc096cedc63913730eeea14a9647911129/tasn-mxnet/python/mxnet/autograd.py#L35-L50
|
|
stanfordnlp/stanza
|
e44d1c88340e33bf9813e6f5a6bd24387eefc4b2
|
stanza/models/common/doc.py
|
python
|
Sentence.build_ents
|
(self)
|
return self.ents
|
Build the list of entities by iterating over all tokens. Return all entities as a list.
Note that unlike other attributes, since NER requires raw text, the actual tagging are always
performed at and attached to the `Token`s, instead of `Word`s.
|
Build the list of entities by iterating over all tokens. Return all entities as a list.
|
[
"Build",
"the",
"list",
"of",
"entities",
"by",
"iterating",
"over",
"all",
"tokens",
".",
"Return",
"all",
"entities",
"as",
"a",
"list",
"."
] |
def build_ents(self):
""" Build the list of entities by iterating over all tokens. Return all entities as a list.
Note that unlike other attributes, since NER requires raw text, the actual tagging are always
performed at and attached to the `Token`s, instead of `Word`s.
"""
self.ents = []
tags = [w.ner for w in self.tokens]
decoded = decode_from_bioes(tags)
for e in decoded:
ent_tokens = self.tokens[e['start']:e['end']+1]
self.ents.append(Span(tokens=ent_tokens, type=e['type'], doc=self.doc, sent=self))
return self.ents
|
[
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")",
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https://github.com/stanfordnlp/stanza/blob/e44d1c88340e33bf9813e6f5a6bd24387eefc4b2/stanza/models/common/doc.py#L498-L510
|
|
MIC-DKFZ/nnUNet
|
cd9cb633e14e5d27aec43ea21c958449437c99b2
|
nnunet/inference/predict.py
|
python
|
predict_cases
|
(model, list_of_lists, output_filenames, folds, save_npz, num_threads_preprocessing,
num_threads_nifti_save, segs_from_prev_stage=None, do_tta=True, mixed_precision=True,
overwrite_existing=False,
all_in_gpu=False, step_size=0.5, checkpoint_name="model_final_checkpoint",
segmentation_export_kwargs: dict = None, disable_postprocessing: bool = False)
|
:param segmentation_export_kwargs:
:param model: folder where the model is saved, must contain fold_x subfolders
:param list_of_lists: [[case0_0000.nii.gz, case0_0001.nii.gz], [case1_0000.nii.gz, case1_0001.nii.gz], ...]
:param output_filenames: [output_file_case0.nii.gz, output_file_case1.nii.gz, ...]
:param folds: default: (0, 1, 2, 3, 4) (but can also be 'all' or a subset of the five folds, for example use (0, )
for using only fold_0
:param save_npz: default: False
:param num_threads_preprocessing:
:param num_threads_nifti_save:
:param segs_from_prev_stage:
:param do_tta: default: True, can be set to False for a 8x speedup at the cost of a reduced segmentation quality
:param overwrite_existing: default: True
:param mixed_precision: if None then we take no action. If True/False we overwrite what the model has in its init
:return:
|
:param segmentation_export_kwargs:
:param model: folder where the model is saved, must contain fold_x subfolders
:param list_of_lists: [[case0_0000.nii.gz, case0_0001.nii.gz], [case1_0000.nii.gz, case1_0001.nii.gz], ...]
:param output_filenames: [output_file_case0.nii.gz, output_file_case1.nii.gz, ...]
:param folds: default: (0, 1, 2, 3, 4) (but can also be 'all' or a subset of the five folds, for example use (0, )
for using only fold_0
:param save_npz: default: False
:param num_threads_preprocessing:
:param num_threads_nifti_save:
:param segs_from_prev_stage:
:param do_tta: default: True, can be set to False for a 8x speedup at the cost of a reduced segmentation quality
:param overwrite_existing: default: True
:param mixed_precision: if None then we take no action. If True/False we overwrite what the model has in its init
:return:
|
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def predict_cases(model, list_of_lists, output_filenames, folds, save_npz, num_threads_preprocessing,
num_threads_nifti_save, segs_from_prev_stage=None, do_tta=True, mixed_precision=True,
overwrite_existing=False,
all_in_gpu=False, step_size=0.5, checkpoint_name="model_final_checkpoint",
segmentation_export_kwargs: dict = None, disable_postprocessing: bool = False):
"""
:param segmentation_export_kwargs:
:param model: folder where the model is saved, must contain fold_x subfolders
:param list_of_lists: [[case0_0000.nii.gz, case0_0001.nii.gz], [case1_0000.nii.gz, case1_0001.nii.gz], ...]
:param output_filenames: [output_file_case0.nii.gz, output_file_case1.nii.gz, ...]
:param folds: default: (0, 1, 2, 3, 4) (but can also be 'all' or a subset of the five folds, for example use (0, )
for using only fold_0
:param save_npz: default: False
:param num_threads_preprocessing:
:param num_threads_nifti_save:
:param segs_from_prev_stage:
:param do_tta: default: True, can be set to False for a 8x speedup at the cost of a reduced segmentation quality
:param overwrite_existing: default: True
:param mixed_precision: if None then we take no action. If True/False we overwrite what the model has in its init
:return:
"""
assert len(list_of_lists) == len(output_filenames)
if segs_from_prev_stage is not None: assert len(segs_from_prev_stage) == len(output_filenames)
pool = Pool(num_threads_nifti_save)
results = []
cleaned_output_files = []
for o in output_filenames:
dr, f = os.path.split(o)
if len(dr) > 0:
maybe_mkdir_p(dr)
if not f.endswith(".nii.gz"):
f, _ = os.path.splitext(f)
f = f + ".nii.gz"
cleaned_output_files.append(join(dr, f))
if not overwrite_existing:
print("number of cases:", len(list_of_lists))
# if save_npz=True then we should also check for missing npz files
not_done_idx = [i for i, j in enumerate(cleaned_output_files) if (not isfile(j)) or (save_npz and not isfile(j[:-7] + '.npz'))]
cleaned_output_files = [cleaned_output_files[i] for i in not_done_idx]
list_of_lists = [list_of_lists[i] for i in not_done_idx]
if segs_from_prev_stage is not None:
segs_from_prev_stage = [segs_from_prev_stage[i] for i in not_done_idx]
print("number of cases that still need to be predicted:", len(cleaned_output_files))
print("emptying cuda cache")
torch.cuda.empty_cache()
print("loading parameters for folds,", folds)
trainer, params = load_model_and_checkpoint_files(model, folds, mixed_precision=mixed_precision,
checkpoint_name=checkpoint_name)
if segmentation_export_kwargs is None:
if 'segmentation_export_params' in trainer.plans.keys():
force_separate_z = trainer.plans['segmentation_export_params']['force_separate_z']
interpolation_order = trainer.plans['segmentation_export_params']['interpolation_order']
interpolation_order_z = trainer.plans['segmentation_export_params']['interpolation_order_z']
else:
force_separate_z = None
interpolation_order = 1
interpolation_order_z = 0
else:
force_separate_z = segmentation_export_kwargs['force_separate_z']
interpolation_order = segmentation_export_kwargs['interpolation_order']
interpolation_order_z = segmentation_export_kwargs['interpolation_order_z']
print("starting preprocessing generator")
preprocessing = preprocess_multithreaded(trainer, list_of_lists, cleaned_output_files, num_threads_preprocessing,
segs_from_prev_stage)
print("starting prediction...")
all_output_files = []
for preprocessed in preprocessing:
output_filename, (d, dct) = preprocessed
all_output_files.append(all_output_files)
if isinstance(d, str):
data = np.load(d)
os.remove(d)
d = data
print("predicting", output_filename)
trainer.load_checkpoint_ram(params[0], False)
softmax = trainer.predict_preprocessed_data_return_seg_and_softmax(
d, do_mirroring=do_tta, mirror_axes=trainer.data_aug_params['mirror_axes'], use_sliding_window=True,
step_size=step_size, use_gaussian=True, all_in_gpu=all_in_gpu,
mixed_precision=mixed_precision)[1]
for p in params[1:]:
trainer.load_checkpoint_ram(p, False)
softmax += trainer.predict_preprocessed_data_return_seg_and_softmax(
d, do_mirroring=do_tta, mirror_axes=trainer.data_aug_params['mirror_axes'], use_sliding_window=True,
step_size=step_size, use_gaussian=True, all_in_gpu=all_in_gpu,
mixed_precision=mixed_precision)[1]
if len(params) > 1:
softmax /= len(params)
transpose_forward = trainer.plans.get('transpose_forward')
if transpose_forward is not None:
transpose_backward = trainer.plans.get('transpose_backward')
softmax = softmax.transpose([0] + [i + 1 for i in transpose_backward])
if save_npz:
npz_file = output_filename[:-7] + ".npz"
else:
npz_file = None
if hasattr(trainer, 'regions_class_order'):
region_class_order = trainer.regions_class_order
else:
region_class_order = None
"""There is a problem with python process communication that prevents us from communicating objects
larger than 2 GB between processes (basically when the length of the pickle string that will be sent is
communicated by the multiprocessing.Pipe object then the placeholder (I think) does not allow for long
enough strings (lol). This could be fixed by changing i to l (for long) but that would require manually
patching system python code. We circumvent that problem here by saving softmax_pred to a npy file that will
then be read (and finally deleted) by the Process. save_segmentation_nifti_from_softmax can take either
filename or np.ndarray and will handle this automatically"""
bytes_per_voxel = 4
if all_in_gpu:
bytes_per_voxel = 2 # if all_in_gpu then the return value is half (float16)
if np.prod(softmax.shape) > (2e9 / bytes_per_voxel * 0.85): # * 0.85 just to be save
print(
"This output is too large for python process-process communication. Saving output temporarily to disk")
np.save(output_filename[:-7] + ".npy", softmax)
softmax = output_filename[:-7] + ".npy"
results.append(pool.starmap_async(save_segmentation_nifti_from_softmax,
((softmax, output_filename, dct, interpolation_order, region_class_order,
None, None,
npz_file, None, force_separate_z, interpolation_order_z),)
))
print("inference done. Now waiting for the segmentation export to finish...")
_ = [i.get() for i in results]
# now apply postprocessing
# first load the postprocessing properties if they are present. Else raise a well visible warning
if not disable_postprocessing:
results = []
pp_file = join(model, "postprocessing.json")
if isfile(pp_file):
print("postprocessing...")
shutil.copy(pp_file, os.path.abspath(os.path.dirname(output_filenames[0])))
# for_which_classes stores for which of the classes everything but the largest connected component needs to be
# removed
for_which_classes, min_valid_obj_size = load_postprocessing(pp_file)
results.append(pool.starmap_async(load_remove_save,
zip(output_filenames, output_filenames,
[for_which_classes] * len(output_filenames),
[min_valid_obj_size] * len(output_filenames))))
_ = [i.get() for i in results]
else:
print("WARNING! Cannot run postprocessing because the postprocessing file is missing. Make sure to run "
"consolidate_folds in the output folder of the model first!\nThe folder you need to run this in is "
"%s" % model)
pool.close()
pool.join()
|
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"(",
"output_filenames",
"[",
"0",
"]",
")",
")",
")",
"# for_which_classes stores for which of the classes everything but the largest connected component needs to be",
"# removed",
"for_which_classes",
",",
"min_valid_obj_size",
"=",
"load_postprocessing",
"(",
"pp_file",
")",
"results",
".",
"append",
"(",
"pool",
".",
"starmap_async",
"(",
"load_remove_save",
",",
"zip",
"(",
"output_filenames",
",",
"output_filenames",
",",
"[",
"for_which_classes",
"]",
"*",
"len",
"(",
"output_filenames",
")",
",",
"[",
"min_valid_obj_size",
"]",
"*",
"len",
"(",
"output_filenames",
")",
")",
")",
")",
"_",
"=",
"[",
"i",
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"get",
"(",
")",
"for",
"i",
"in",
"results",
"]",
"else",
":",
"print",
"(",
"\"WARNING! Cannot run postprocessing because the postprocessing file is missing. Make sure to run \"",
"\"consolidate_folds in the output folder of the model first!\\nThe folder you need to run this in is \"",
"\"%s\"",
"%",
"model",
")",
"pool",
".",
"close",
"(",
")",
"pool",
".",
"join",
"(",
")"
] |
https://github.com/MIC-DKFZ/nnUNet/blob/cd9cb633e14e5d27aec43ea21c958449437c99b2/nnunet/inference/predict.py#L131-L292
|
||
IronLanguages/ironpython3
|
7a7bb2a872eeab0d1009fc8a6e24dca43f65b693
|
Src/StdLib/Lib/gettext.py
|
python
|
_as_int
|
(n)
|
return n
|
[] |
def _as_int(n):
try:
i = round(n)
except TypeError:
raise TypeError('Plural value must be an integer, got %s' %
(n.__class__.__name__,)) from None
return n
|
[
"def",
"_as_int",
"(",
"n",
")",
":",
"try",
":",
"i",
"=",
"round",
"(",
"n",
")",
"except",
"TypeError",
":",
"raise",
"TypeError",
"(",
"'Plural value must be an integer, got %s'",
"%",
"(",
"n",
".",
"__class__",
".",
"__name__",
",",
")",
")",
"from",
"None",
"return",
"n"
] |
https://github.com/IronLanguages/ironpython3/blob/7a7bb2a872eeab0d1009fc8a6e24dca43f65b693/Src/StdLib/Lib/gettext.py#L161-L167
|
|||
F8LEFT/DecLLVM
|
d38e45e3d0dd35634adae1d0cf7f96f3bd96e74c
|
python/idc.py
|
python
|
GetFirstBmask
|
(enum_id)
|
return idaapi.get_first_bmask(enum_id)
|
Get first bitmask in the enum (bitfield)
@param enum_id: id of enum (bitfield)
@return: the smallest bitmask of constant or -1
no bitmasks are defined yet
All bitmasks are sorted by their values
as unsigned longs.
|
Get first bitmask in the enum (bitfield)
|
[
"Get",
"first",
"bitmask",
"in",
"the",
"enum",
"(",
"bitfield",
")"
] |
def GetFirstBmask(enum_id):
"""
Get first bitmask in the enum (bitfield)
@param enum_id: id of enum (bitfield)
@return: the smallest bitmask of constant or -1
no bitmasks are defined yet
All bitmasks are sorted by their values
as unsigned longs.
"""
return idaapi.get_first_bmask(enum_id)
|
[
"def",
"GetFirstBmask",
"(",
"enum_id",
")",
":",
"return",
"idaapi",
".",
"get_first_bmask",
"(",
"enum_id",
")"
] |
https://github.com/F8LEFT/DecLLVM/blob/d38e45e3d0dd35634adae1d0cf7f96f3bd96e74c/python/idc.py#L5906-L5917
|
|
evilhero/mylar
|
dbee01d7e48e8c717afa01b2de1946c5d0b956cb
|
lib/js2py/legecy_translators/nodevisitor.py
|
python
|
transform_crap
|
(code)
|
return transform_crap(code[:beg]+formula+code[end:])
|
Transforms this ?: crap into if else python syntax
|
Transforms this ?: crap into if else python syntax
|
[
"Transforms",
"this",
"?",
":",
"crap",
"into",
"if",
"else",
"python",
"syntax"
] |
def transform_crap(code): #needs some more tests
"""Transforms this ?: crap into if else python syntax"""
ind = code.rfind('?')
if ind==-1:
return code
sep = code.find(':', ind)
if sep==-1:
raise SyntaxError('Invalid ?: syntax (probably missing ":" )')
beg = max(code.rfind(':', 0, ind), code.find('?', 0, ind))+1
end = code.find(':',sep+1)
end = len(code) if end==-1 else end
formula = '('+code[ind+1:sep]+' if '+code[beg:ind]+' else '+code[sep+1:end]+')'
return transform_crap(code[:beg]+formula+code[end:])
|
[
"def",
"transform_crap",
"(",
"code",
")",
":",
"#needs some more tests",
"ind",
"=",
"code",
".",
"rfind",
"(",
"'?'",
")",
"if",
"ind",
"==",
"-",
"1",
":",
"return",
"code",
"sep",
"=",
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"ind",
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"'Invalid ?: syntax (probably missing \":\" )'",
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"-",
"1",
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"end",
"formula",
"=",
"'('",
"+",
"code",
"[",
"ind",
"+",
"1",
":",
"sep",
"]",
"+",
"' if '",
"+",
"code",
"[",
"beg",
":",
"ind",
"]",
"+",
"' else '",
"+",
"code",
"[",
"sep",
"+",
"1",
":",
"end",
"]",
"+",
"')'",
"return",
"transform_crap",
"(",
"code",
"[",
":",
"beg",
"]",
"+",
"formula",
"+",
"code",
"[",
"end",
":",
"]",
")"
] |
https://github.com/evilhero/mylar/blob/dbee01d7e48e8c717afa01b2de1946c5d0b956cb/lib/js2py/legecy_translators/nodevisitor.py#L445-L457
|
|
1012598167/flask_mongodb_game
|
60c7e0351586656ec38f851592886338e50b4110
|
python_flask/venv/Lib/site-packages/werkzeug/datastructures.py
|
python
|
ContentRange.unset
|
(self)
|
Sets the units to `None` which indicates that the header should
no longer be used.
|
Sets the units to `None` which indicates that the header should
no longer be used.
|
[
"Sets",
"the",
"units",
"to",
"None",
"which",
"indicates",
"that",
"the",
"header",
"should",
"no",
"longer",
"be",
"used",
"."
] |
def unset(self):
"""Sets the units to `None` which indicates that the header should
no longer be used.
"""
self.set(None, None, units=None)
|
[
"def",
"unset",
"(",
"self",
")",
":",
"self",
".",
"set",
"(",
"None",
",",
"None",
",",
"units",
"=",
"None",
")"
] |
https://github.com/1012598167/flask_mongodb_game/blob/60c7e0351586656ec38f851592886338e50b4110/python_flask/venv/Lib/site-packages/werkzeug/datastructures.py#L2423-L2427
|
||
TencentCloud/tencentcloud-sdk-python
|
3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2
|
tencentcloud/cpdp/v20190820/cpdp_client.py
|
python
|
CpdpClient.QueryShopOpenId
|
(self, request)
|
云支付-获取门店OpenId接口
:param request: Request instance for QueryShopOpenId.
:type request: :class:`tencentcloud.cpdp.v20190820.models.QueryShopOpenIdRequest`
:rtype: :class:`tencentcloud.cpdp.v20190820.models.QueryShopOpenIdResponse`
|
云支付-获取门店OpenId接口
|
[
"云支付",
"-",
"获取门店OpenId接口"
] |
def QueryShopOpenId(self, request):
"""云支付-获取门店OpenId接口
:param request: Request instance for QueryShopOpenId.
:type request: :class:`tencentcloud.cpdp.v20190820.models.QueryShopOpenIdRequest`
:rtype: :class:`tencentcloud.cpdp.v20190820.models.QueryShopOpenIdResponse`
"""
try:
params = request._serialize()
body = self.call("QueryShopOpenId", params)
response = json.loads(body)
if "Error" not in response["Response"]:
model = models.QueryShopOpenIdResponse()
model._deserialize(response["Response"])
return model
else:
code = response["Response"]["Error"]["Code"]
message = response["Response"]["Error"]["Message"]
reqid = response["Response"]["RequestId"]
raise TencentCloudSDKException(code, message, reqid)
except Exception as e:
if isinstance(e, TencentCloudSDKException):
raise
else:
raise TencentCloudSDKException(e.message, e.message)
|
[
"def",
"QueryShopOpenId",
"(",
"self",
",",
"request",
")",
":",
"try",
":",
"params",
"=",
"request",
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"\"QueryShopOpenId\"",
",",
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",",
"TencentCloudSDKException",
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":",
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":",
"raise",
"TencentCloudSDKException",
"(",
"e",
".",
"message",
",",
"e",
".",
"message",
")"
] |
https://github.com/TencentCloud/tencentcloud-sdk-python/blob/3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2/tencentcloud/cpdp/v20190820/cpdp_client.py#L2782-L2807
|
||
home-assistant/core
|
265ebd17a3f17ed8dc1e9bdede03ac8e323f1ab1
|
homeassistant/components/nx584/binary_sensor.py
|
python
|
NX584Watcher.__init__
|
(self, client, zone_sensors)
|
Initialize NX584 watcher thread.
|
Initialize NX584 watcher thread.
|
[
"Initialize",
"NX584",
"watcher",
"thread",
"."
] |
def __init__(self, client, zone_sensors):
"""Initialize NX584 watcher thread."""
super().__init__()
self.daemon = True
self._client = client
self._zone_sensors = zone_sensors
|
[
"def",
"__init__",
"(",
"self",
",",
"client",
",",
"zone_sensors",
")",
":",
"super",
"(",
")",
".",
"__init__",
"(",
")",
"self",
".",
"daemon",
"=",
"True",
"self",
".",
"_client",
"=",
"client",
"self",
".",
"_zone_sensors",
"=",
"zone_sensors"
] |
https://github.com/home-assistant/core/blob/265ebd17a3f17ed8dc1e9bdede03ac8e323f1ab1/homeassistant/components/nx584/binary_sensor.py#L125-L130
|
||
mesalock-linux/mesapy
|
ed546d59a21b36feb93e2309d5c6b75aa0ad95c9
|
lib-python/2.7/lib-tk/Tkinter.py
|
python
|
Text.tag_nextrange
|
(self, tagName, index1, index2=None)
|
return self.tk.splitlist(self.tk.call(
self._w, 'tag', 'nextrange', tagName, index1, index2))
|
Return a list of start and end index for the first sequence of
characters between INDEX1 and INDEX2 which all have tag TAGNAME.
The text is searched forward from INDEX1.
|
Return a list of start and end index for the first sequence of
characters between INDEX1 and INDEX2 which all have tag TAGNAME.
The text is searched forward from INDEX1.
|
[
"Return",
"a",
"list",
"of",
"start",
"and",
"end",
"index",
"for",
"the",
"first",
"sequence",
"of",
"characters",
"between",
"INDEX1",
"and",
"INDEX2",
"which",
"all",
"have",
"tag",
"TAGNAME",
".",
"The",
"text",
"is",
"searched",
"forward",
"from",
"INDEX1",
"."
] |
def tag_nextrange(self, tagName, index1, index2=None):
"""Return a list of start and end index for the first sequence of
characters between INDEX1 and INDEX2 which all have tag TAGNAME.
The text is searched forward from INDEX1."""
return self.tk.splitlist(self.tk.call(
self._w, 'tag', 'nextrange', tagName, index1, index2))
|
[
"def",
"tag_nextrange",
"(",
"self",
",",
"tagName",
",",
"index1",
",",
"index2",
"=",
"None",
")",
":",
"return",
"self",
".",
"tk",
".",
"splitlist",
"(",
"self",
".",
"tk",
".",
"call",
"(",
"self",
".",
"_w",
",",
"'tag'",
",",
"'nextrange'",
",",
"tagName",
",",
"index1",
",",
"index2",
")",
")"
] |
https://github.com/mesalock-linux/mesapy/blob/ed546d59a21b36feb93e2309d5c6b75aa0ad95c9/lib-python/2.7/lib-tk/Tkinter.py#L3203-L3208
|
|
Source-Python-Dev-Team/Source.Python
|
d0ffd8ccbd1e9923c9bc44936f20613c1c76b7fb
|
addons/source-python/packages/site-packages/jinja2/compiler.py
|
python
|
has_safe_repr
|
(value)
|
return False
|
Does the node have a safe representation?
|
Does the node have a safe representation?
|
[
"Does",
"the",
"node",
"have",
"a",
"safe",
"representation?"
] |
def has_safe_repr(value):
"""Does the node have a safe representation?"""
if value is None or value is NotImplemented or value is Ellipsis:
return True
if isinstance(value, (bool, int, float, complex, range_type,
Markup) + string_types):
return True
if isinstance(value, (tuple, list, set, frozenset)):
for item in value:
if not has_safe_repr(item):
return False
return True
elif isinstance(value, dict):
for key, value in iteritems(value):
if not has_safe_repr(key):
return False
if not has_safe_repr(value):
return False
return True
return False
|
[
"def",
"has_safe_repr",
"(",
"value",
")",
":",
"if",
"value",
"is",
"None",
"or",
"value",
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"NotImplemented",
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"is",
"Ellipsis",
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"has_safe_repr",
"(",
"value",
")",
":",
"return",
"False",
"return",
"True",
"return",
"False"
] |
https://github.com/Source-Python-Dev-Team/Source.Python/blob/d0ffd8ccbd1e9923c9bc44936f20613c1c76b7fb/addons/source-python/packages/site-packages/jinja2/compiler.py#L67-L86
|
|
kubernetes-client/python
|
47b9da9de2d02b2b7a34fbe05afb44afd130d73a
|
kubernetes/client/models/v1_persistent_volume_list.py
|
python
|
V1PersistentVolumeList.to_dict
|
(self)
|
return result
|
Returns the model properties as a dict
|
Returns the model properties as a dict
|
[
"Returns",
"the",
"model",
"properties",
"as",
"a",
"dict"
] |
def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.openapi_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
result[attr] = value
return result
|
[
"def",
"to_dict",
"(",
"self",
")",
":",
"result",
"=",
"{",
"}",
"for",
"attr",
",",
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"(",
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"openapi_types",
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":",
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"(",
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"[",
"1",
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",",
"\"to_dict\"",
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"(",
")",
")",
")",
"else",
":",
"result",
"[",
"attr",
"]",
"=",
"value",
"return",
"result"
] |
https://github.com/kubernetes-client/python/blob/47b9da9de2d02b2b7a34fbe05afb44afd130d73a/kubernetes/client/models/v1_persistent_volume_list.py#L161-L183
|
|
openshift/openshift-tools
|
1188778e728a6e4781acf728123e5b356380fe6f
|
openshift/installer/vendored/openshift-ansible-3.9.14-1/roles/lib_vendored_deps/library/oc_adm_router.py
|
python
|
RoleBinding.role_ref
|
(self)
|
return self._role_ref
|
role_ref property
|
role_ref property
|
[
"role_ref",
"property"
] |
def role_ref(self):
''' role_ref property '''
if self._role_ref is None:
self._role_ref = self.get_role_ref()
return self._role_ref
|
[
"def",
"role_ref",
"(",
"self",
")",
":",
"if",
"self",
".",
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] |
https://github.com/openshift/openshift-tools/blob/1188778e728a6e4781acf728123e5b356380fe6f/openshift/installer/vendored/openshift-ansible-3.9.14-1/roles/lib_vendored_deps/library/oc_adm_router.py#L2457-L2461
|
|
wandb/client
|
3963364d8112b7dedb928fa423b6878ea1b467d9
|
wandb/vendor/pygments/lexers/objective.py
|
python
|
objective
|
(baselexer)
|
return GeneratedObjectiveCVariant
|
Generate a subclass of baselexer that accepts the Objective-C syntax
extensions.
|
Generate a subclass of baselexer that accepts the Objective-C syntax
extensions.
|
[
"Generate",
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"of",
"baselexer",
"that",
"accepts",
"the",
"Objective",
"-",
"C",
"syntax",
"extensions",
"."
] |
def objective(baselexer):
"""
Generate a subclass of baselexer that accepts the Objective-C syntax
extensions.
"""
# Have to be careful not to accidentally match JavaDoc/Doxygen syntax here,
# since that's quite common in ordinary C/C++ files. It's OK to match
# JavaDoc/Doxygen keywords that only apply to Objective-C, mind.
#
# The upshot of this is that we CANNOT match @class or @interface
_oc_keywords = re.compile(r'@(?:end|implementation|protocol)')
# Matches [ <ws>? identifier <ws> ( identifier <ws>? ] | identifier? : )
# (note the identifier is *optional* when there is a ':'!)
_oc_message = re.compile(r'\[\s*[a-zA-Z_]\w*\s+'
r'(?:[a-zA-Z_]\w*\s*\]|'
r'(?:[a-zA-Z_]\w*)?:)')
class GeneratedObjectiveCVariant(baselexer):
"""
Implements Objective-C syntax on top of an existing C family lexer.
"""
tokens = {
'statements': [
(r'@"', String, 'string'),
(r'@(YES|NO)', Number),
(r"@'(\\.|\\[0-7]{1,3}|\\x[a-fA-F0-9]{1,2}|[^\\\'\n])'", String.Char),
(r'@(\d+\.\d*|\.\d+|\d+)[eE][+-]?\d+[lL]?', Number.Float),
(r'@(\d+\.\d*|\.\d+|\d+[fF])[fF]?', Number.Float),
(r'@0x[0-9a-fA-F]+[Ll]?', Number.Hex),
(r'@0[0-7]+[Ll]?', Number.Oct),
(r'@\d+[Ll]?', Number.Integer),
(r'@\(', Literal, 'literal_number'),
(r'@\[', Literal, 'literal_array'),
(r'@\{', Literal, 'literal_dictionary'),
(words((
'@selector', '@private', '@protected', '@public', '@encode',
'@synchronized', '@try', '@throw', '@catch', '@finally',
'@end', '@property', '@synthesize', '__bridge', '__bridge_transfer',
'__autoreleasing', '__block', '__weak', '__strong', 'weak', 'strong',
'copy', 'retain', 'assign', 'unsafe_unretained', 'atomic', 'nonatomic',
'readonly', 'readwrite', 'setter', 'getter', 'typeof', 'in',
'out', 'inout', 'release', 'class', '@dynamic', '@optional',
'@required', '@autoreleasepool'), suffix=r'\b'),
Keyword),
(words(('id', 'instancetype', 'Class', 'IMP', 'SEL', 'BOOL',
'IBOutlet', 'IBAction', 'unichar'), suffix=r'\b'),
Keyword.Type),
(r'@(true|false|YES|NO)\n', Name.Builtin),
(r'(YES|NO|nil|self|super)\b', Name.Builtin),
# Carbon types
(r'(Boolean|UInt8|SInt8|UInt16|SInt16|UInt32|SInt32)\b', Keyword.Type),
# Carbon built-ins
(r'(TRUE|FALSE)\b', Name.Builtin),
(r'(@interface|@implementation)(\s+)', bygroups(Keyword, Text),
('#pop', 'oc_classname')),
(r'(@class|@protocol)(\s+)', bygroups(Keyword, Text),
('#pop', 'oc_forward_classname')),
# @ can also prefix other expressions like @{...} or @(...)
(r'@', Punctuation),
inherit,
],
'oc_classname': [
# interface definition that inherits
('([a-zA-Z$_][\w$]*)(\s*:\s*)([a-zA-Z$_][\w$]*)?(\s*)(\{)',
bygroups(Name.Class, Text, Name.Class, Text, Punctuation),
('#pop', 'oc_ivars')),
('([a-zA-Z$_][\w$]*)(\s*:\s*)([a-zA-Z$_][\w$]*)?',
bygroups(Name.Class, Text, Name.Class), '#pop'),
# interface definition for a category
('([a-zA-Z$_][\w$]*)(\s*)(\([a-zA-Z$_][\w$]*\))(\s*)(\{)',
bygroups(Name.Class, Text, Name.Label, Text, Punctuation),
('#pop', 'oc_ivars')),
('([a-zA-Z$_][\w$]*)(\s*)(\([a-zA-Z$_][\w$]*\))',
bygroups(Name.Class, Text, Name.Label), '#pop'),
# simple interface / implementation
('([a-zA-Z$_][\w$]*)(\s*)(\{)',
bygroups(Name.Class, Text, Punctuation), ('#pop', 'oc_ivars')),
('([a-zA-Z$_][\w$]*)', Name.Class, '#pop')
],
'oc_forward_classname': [
('([a-zA-Z$_][\w$]*)(\s*,\s*)',
bygroups(Name.Class, Text), 'oc_forward_classname'),
('([a-zA-Z$_][\w$]*)(\s*;?)',
bygroups(Name.Class, Text), '#pop')
],
'oc_ivars': [
include('whitespace'),
include('statements'),
(';', Punctuation),
(r'\{', Punctuation, '#push'),
(r'\}', Punctuation, '#pop'),
],
'root': [
# methods
(r'^([-+])(\s*)' # method marker
r'(\(.*?\))?(\s*)' # return type
r'([a-zA-Z$_][\w$]*:?)', # begin of method name
bygroups(Punctuation, Text, using(this),
Text, Name.Function),
'method'),
inherit,
],
'method': [
include('whitespace'),
# TODO unsure if ellipses are allowed elsewhere, see
# discussion in Issue 789
(r',', Punctuation),
(r'\.\.\.', Punctuation),
(r'(\(.*?\))(\s*)([a-zA-Z$_][\w$]*)',
bygroups(using(this), Text, Name.Variable)),
(r'[a-zA-Z$_][\w$]*:', Name.Function),
(';', Punctuation, '#pop'),
(r'\{', Punctuation, 'function'),
default('#pop'),
],
'literal_number': [
(r'\(', Punctuation, 'literal_number_inner'),
(r'\)', Literal, '#pop'),
include('statement'),
],
'literal_number_inner': [
(r'\(', Punctuation, '#push'),
(r'\)', Punctuation, '#pop'),
include('statement'),
],
'literal_array': [
(r'\[', Punctuation, 'literal_array_inner'),
(r'\]', Literal, '#pop'),
include('statement'),
],
'literal_array_inner': [
(r'\[', Punctuation, '#push'),
(r'\]', Punctuation, '#pop'),
include('statement'),
],
'literal_dictionary': [
(r'\}', Literal, '#pop'),
include('statement'),
],
}
def analyse_text(text):
if _oc_keywords.search(text):
return 1.0
elif '@"' in text: # strings
return 0.8
elif re.search('@[0-9]+', text):
return 0.7
elif _oc_message.search(text):
return 0.8
return 0
def get_tokens_unprocessed(self, text):
from pygments.lexers._cocoa_builtins import COCOA_INTERFACES, \
COCOA_PROTOCOLS, COCOA_PRIMITIVES
for index, token, value in \
baselexer.get_tokens_unprocessed(self, text):
if token is Name or token is Name.Class:
if value in COCOA_INTERFACES or value in COCOA_PROTOCOLS \
or value in COCOA_PRIMITIVES:
token = Name.Builtin.Pseudo
yield index, token, value
return GeneratedObjectiveCVariant
|
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] |
https://github.com/wandb/client/blob/3963364d8112b7dedb928fa423b6878ea1b467d9/wandb/vendor/pygments/lexers/objective.py#L24-L192
|
|
OpenNMT/OpenNMT-py
|
4815f07fcd482af9a1fe1d3b620d144197178bc5
|
onmt/modules/weight_norm.py
|
python
|
WeightNormConvTranspose2d.__init__
|
(self, in_channels, out_channels, kernel_size, stride=1,
padding=0, output_padding=0, groups=1, init_scale=1.,
polyak_decay=0.9995)
|
[] |
def __init__(self, in_channels, out_channels, kernel_size, stride=1,
padding=0, output_padding=0, groups=1, init_scale=1.,
polyak_decay=0.9995):
super(WeightNormConvTranspose2d, self).__init__(
in_channels, out_channels,
kernel_size, stride,
padding, output_padding,
groups)
# in_channels, out_channels, *kernel_size
self.V = self.weight
self.g = Parameter(torch.Tensor(out_channels))
self.b = self.bias
self.register_buffer('V_avg', torch.zeros(self.V.size()))
self.register_buffer('g_avg', torch.zeros(out_channels))
self.register_buffer('b_avg', torch.zeros(out_channels))
self.init_scale = init_scale
self.polyak_decay = polyak_decay
self.reset_parameters()
|
[
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"__init__",
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"in_channels",
",",
"out_channels",
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"kernel_size",
",",
"stride",
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"1",
",",
"padding",
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"0",
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",",
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"=",
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",",
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"=",
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",",
"polyak_decay",
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":",
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"WeightNormConvTranspose2d",
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"self",
".",
"polyak_decay",
"=",
"polyak_decay",
"self",
".",
"reset_parameters",
"(",
")"
] |
https://github.com/OpenNMT/OpenNMT-py/blob/4815f07fcd482af9a1fe1d3b620d144197178bc5/onmt/modules/weight_norm.py#L175-L194
|
||||
trailofbits/manticore
|
b050fdf0939f6c63f503cdf87ec0ab159dd41159
|
manticore/native/cpu/aarch64.py
|
python
|
Aarch64Cpu._SUBS_immediate
|
(cpu, res_op, reg_op, imm_op)
|
SUBS (immediate).
:param res_op: destination register.
:param reg_op: source register.
:param imm_op: immediate.
|
SUBS (immediate).
|
[
"SUBS",
"(",
"immediate",
")",
"."
] |
def _SUBS_immediate(cpu, res_op, reg_op, imm_op):
"""
SUBS (immediate).
:param res_op: destination register.
:param reg_op: source register.
:param imm_op: immediate.
"""
cpu._adds_subs_immediate(res_op, reg_op, imm_op, mnem="subs")
|
[
"def",
"_SUBS_immediate",
"(",
"cpu",
",",
"res_op",
",",
"reg_op",
",",
"imm_op",
")",
":",
"cpu",
".",
"_adds_subs_immediate",
"(",
"res_op",
",",
"reg_op",
",",
"imm_op",
",",
"mnem",
"=",
"\"subs\"",
")"
] |
https://github.com/trailofbits/manticore/blob/b050fdf0939f6c63f503cdf87ec0ab159dd41159/manticore/native/cpu/aarch64.py#L4690-L4698
|
||
plotly/plotly.py
|
cfad7862594b35965c0e000813bd7805e8494a5b
|
packages/python/plotly/plotly/graph_objs/barpolar/_marker.py
|
python
|
Marker.cmin
|
(self)
|
return self["cmin"]
|
Sets the lower bound of the color domain. Has an effect only if
in `marker.color`is set to a numerical array. Value should have
the same units as in `marker.color` and if set, `marker.cmax`
must be set as well.
The 'cmin' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
|
Sets the lower bound of the color domain. Has an effect only if
in `marker.color`is set to a numerical array. Value should have
the same units as in `marker.color` and if set, `marker.cmax`
must be set as well.
The 'cmin' property is a number and may be specified as:
- An int or float
|
[
"Sets",
"the",
"lower",
"bound",
"of",
"the",
"color",
"domain",
".",
"Has",
"an",
"effect",
"only",
"if",
"in",
"marker",
".",
"color",
"is",
"set",
"to",
"a",
"numerical",
"array",
".",
"Value",
"should",
"have",
"the",
"same",
"units",
"as",
"in",
"marker",
".",
"color",
"and",
"if",
"set",
"marker",
".",
"cmax",
"must",
"be",
"set",
"as",
"well",
".",
"The",
"cmin",
"property",
"is",
"a",
"number",
"and",
"may",
"be",
"specified",
"as",
":",
"-",
"An",
"int",
"or",
"float"
] |
def cmin(self):
"""
Sets the lower bound of the color domain. Has an effect only if
in `marker.color`is set to a numerical array. Value should have
the same units as in `marker.color` and if set, `marker.cmax`
must be set as well.
The 'cmin' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
"""
return self["cmin"]
|
[
"def",
"cmin",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"cmin\"",
"]"
] |
https://github.com/plotly/plotly.py/blob/cfad7862594b35965c0e000813bd7805e8494a5b/packages/python/plotly/plotly/graph_objs/barpolar/_marker.py#L131-L145
|
|
phantomcyber/playbooks
|
9e850ecc44cb98c5dde53784744213a1ed5799bd
|
user_approved_ticket_creation.py
|
python
|
set_status_2
|
(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs)
|
return
|
[] |
def set_status_2(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
phantom.debug('set_status_2() called')
phantom.set_status(container=container, status="closed")
return
|
[
"def",
"set_status_2",
"(",
"action",
"=",
"None",
",",
"success",
"=",
"None",
",",
"container",
"=",
"None",
",",
"results",
"=",
"None",
",",
"handle",
"=",
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",",
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",",
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"phantom",
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"'set_status_2() called'",
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".",
"set_status",
"(",
"container",
"=",
"container",
",",
"status",
"=",
"\"closed\"",
")",
"return"
] |
https://github.com/phantomcyber/playbooks/blob/9e850ecc44cb98c5dde53784744213a1ed5799bd/user_approved_ticket_creation.py#L36-L41
|
|||
opsmop/opsmop
|
376ca587f8c5f9ca8ed1829909d075c339066034
|
opsmop/inventory/inventory.py
|
python
|
Inventory._process_hosts
|
(self, data)
|
Inventory loading has two stages. Loading loose hosts happens
before groups so that the data in the groups can win out over any
host-specific defaults.
|
Inventory loading has two stages. Loading loose hosts happens
before groups so that the data in the groups can win out over any
host-specific defaults.
|
[
"Inventory",
"loading",
"has",
"two",
"stages",
".",
"Loading",
"loose",
"hosts",
"happens",
"before",
"groups",
"so",
"that",
"the",
"data",
"in",
"the",
"groups",
"can",
"win",
"out",
"over",
"any",
"host",
"-",
"specific",
"defaults",
"."
] |
def _process_hosts(self, data):
"""
Inventory loading has two stages. Loading loose hosts happens
before groups so that the data in the groups can win out over any
host-specific defaults.
"""
hosts = data.get('hosts', dict())
# traverse the dictionary of host names, where each value is a variable
for (host_name, host_data) in hosts.items():
host_data = self._shlex_parse(host_data)
host = self._get_or_create_host(host_name, host_data)
|
[
"def",
"_process_hosts",
"(",
"self",
",",
"data",
")",
":",
"hosts",
"=",
"data",
".",
"get",
"(",
"'hosts'",
",",
"dict",
"(",
")",
")",
"# traverse the dictionary of host names, where each value is a variable",
"for",
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"host_name",
",",
"host_data",
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"in",
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"items",
"(",
")",
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"host_data",
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"self",
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"_shlex_parse",
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")",
"host",
"=",
"self",
".",
"_get_or_create_host",
"(",
"host_name",
",",
"host_data",
")"
] |
https://github.com/opsmop/opsmop/blob/376ca587f8c5f9ca8ed1829909d075c339066034/opsmop/inventory/inventory.py#L107-L117
|
||
LonamiWebs/Telethon
|
f9643bf7376a5953da2050a5361c9b465f7ee7d9
|
telethon/tl/custom/button.py
|
python
|
Button.force_reply
|
(single_use=None, selective=None, placeholder=None)
|
return types.ReplyKeyboardForceReply(
single_use=single_use,
selective=selective,
placeholder=placeholder)
|
Forces a reply to the message with this markup. If used,
no other button should be present or it will be ignored.
``single_use`` and ``selective`` are as documented in `text`.
Args:
placeholder (str):
text to show the user at typing place of message.
If the placeholder is too long, Telegram applications will
crop the text (for example, to 64 characters and adding an
ellipsis (…) character as the 65th).
|
Forces a reply to the message with this markup. If used,
no other button should be present or it will be ignored.
|
[
"Forces",
"a",
"reply",
"to",
"the",
"message",
"with",
"this",
"markup",
".",
"If",
"used",
"no",
"other",
"button",
"should",
"be",
"present",
"or",
"it",
"will",
"be",
"ignored",
"."
] |
def force_reply(single_use=None, selective=None, placeholder=None):
"""
Forces a reply to the message with this markup. If used,
no other button should be present or it will be ignored.
``single_use`` and ``selective`` are as documented in `text`.
Args:
placeholder (str):
text to show the user at typing place of message.
If the placeholder is too long, Telegram applications will
crop the text (for example, to 64 characters and adding an
ellipsis (…) character as the 65th).
"""
return types.ReplyKeyboardForceReply(
single_use=single_use,
selective=selective,
placeholder=placeholder)
|
[
"def",
"force_reply",
"(",
"single_use",
"=",
"None",
",",
"selective",
"=",
"None",
",",
"placeholder",
"=",
"None",
")",
":",
"return",
"types",
".",
"ReplyKeyboardForceReply",
"(",
"single_use",
"=",
"single_use",
",",
"selective",
"=",
"selective",
",",
"placeholder",
"=",
"placeholder",
")"
] |
https://github.com/LonamiWebs/Telethon/blob/f9643bf7376a5953da2050a5361c9b465f7ee7d9/telethon/tl/custom/button.py#L261-L279
|
|
pypiserver/pypiserver
|
bdbd839a1bbd5bdc20088074b4372531dabd5136
|
bin/ci_helper.py
|
python
|
parse_args
|
()
|
return parser.parse_args()
|
Parse cmdline args.
|
Parse cmdline args.
|
[
"Parse",
"cmdline",
"args",
"."
] |
def parse_args() -> Namespace:
"""Parse cmdline args."""
parser = ArgumentParser()
parser.add_argument(
"ref",
help=(
"The github ref for which CI is running. This may be a full ref "
"like refs/tags/v1.2.3 or refs/heads/master, or just a tag/branch "
"name like v1.2.3 or master."
),
)
parser.add_argument(
"action",
help=("The action to perform"),
choices=("docker_tags", "pypi_release", "has_tags"),
)
return parser.parse_args()
|
[
"def",
"parse_args",
"(",
")",
"->",
"Namespace",
":",
"parser",
"=",
"ArgumentParser",
"(",
")",
"parser",
".",
"add_argument",
"(",
"\"ref\"",
",",
"help",
"=",
"(",
"\"The github ref for which CI is running. This may be a full ref \"",
"\"like refs/tags/v1.2.3 or refs/heads/master, or just a tag/branch \"",
"\"name like v1.2.3 or master.\"",
")",
",",
")",
"parser",
".",
"add_argument",
"(",
"\"action\"",
",",
"help",
"=",
"(",
"\"The action to perform\"",
")",
",",
"choices",
"=",
"(",
"\"docker_tags\"",
",",
"\"pypi_release\"",
",",
"\"has_tags\"",
")",
",",
")",
"return",
"parser",
".",
"parse_args",
"(",
")"
] |
https://github.com/pypiserver/pypiserver/blob/bdbd839a1bbd5bdc20088074b4372531dabd5136/bin/ci_helper.py#L15-L31
|
|
pjlantz/droidbox
|
519ddd198ccef2e0d27e12929f25702f6a385d94
|
droidbox4.1.1/scripts/droidbox.py
|
python
|
getTags
|
(tagParam)
|
return tagsFound
|
Retrieve the tag names
|
Retrieve the tag names
|
[
"Retrieve",
"the",
"tag",
"names"
] |
def getTags(tagParam):
"""
Retrieve the tag names
"""
tagsFound = []
for tag in tags.keys():
if tagParam & tag != 0:
tagsFound.append(tags[tag])
return tagsFound
|
[
"def",
"getTags",
"(",
"tagParam",
")",
":",
"tagsFound",
"=",
"[",
"]",
"for",
"tag",
"in",
"tags",
".",
"keys",
"(",
")",
":",
"if",
"tagParam",
"&",
"tag",
"!=",
"0",
":",
"tagsFound",
".",
"append",
"(",
"tags",
"[",
"tag",
"]",
")",
"return",
"tagsFound"
] |
https://github.com/pjlantz/droidbox/blob/519ddd198ccef2e0d27e12929f25702f6a385d94/droidbox4.1.1/scripts/droidbox.py#L224-L233
|
|
replit-archive/empythoned
|
977ec10ced29a3541a4973dc2b59910805695752
|
cpython/Lib/mhlib.py
|
python
|
Folder.listsubfolders
|
(self)
|
return self.mh.listsubfolders(self.name)
|
Return list of direct subfolders.
|
Return list of direct subfolders.
|
[
"Return",
"list",
"of",
"direct",
"subfolders",
"."
] |
def listsubfolders(self):
"""Return list of direct subfolders."""
return self.mh.listsubfolders(self.name)
|
[
"def",
"listsubfolders",
"(",
"self",
")",
":",
"return",
"self",
".",
"mh",
".",
"listsubfolders",
"(",
"self",
".",
"name",
")"
] |
https://github.com/replit-archive/empythoned/blob/977ec10ced29a3541a4973dc2b59910805695752/cpython/Lib/mhlib.py#L272-L274
|
|
thomasweng15/E.V.E.
|
e3bea3e45d0c549eccc6824c9cadbcc6980545f6
|
stt/google.py
|
python
|
Google.get_text
|
(self)
|
return str(phrase)
|
Send speech file to Google STT and then return text
|
Send speech file to Google STT and then return text
|
[
"Send",
"speech",
"file",
"to",
"Google",
"STT",
"and",
"then",
"return",
"text"
] |
def get_text(self):
"""Send speech file to Google STT and then return text"""
# convert wav file to FLAC
(_,stt_flac_filename) = tempfile.mkstemp('.flac')
sound = AudioSegment.from_wav(self.audio.filename())
sound.export(stt_flac_filename, format="flac")
# send to Google to interpret into text
g_url = "http://www.google.com/speech-api/v1/recognize?lang=en"
headers = {'Content-Type': 'audio/x-flac; rate= %d;' % self.rec_rate}
recording_flac_data = open(stt_flac_filename, 'rb').read()
try:
r = requests.post(g_url, data=recording_flac_data, headers=headers)
except requests.exceptions.ConnectionError:
raise ConnectionLostException()
response = r.text
os.remove(stt_flac_filename)
self.audio.housekeeping()
if not 'hypotheses' in response:
raise NotUnderstoodException()
# we are only interested in the most likely utterance
phrase = json.loads(response)['hypotheses'][0]['utterance']
print "Heard: " + phrase
return str(phrase)
|
[
"def",
"get_text",
"(",
"self",
")",
":",
"# convert wav file to FLAC",
"(",
"_",
",",
"stt_flac_filename",
")",
"=",
"tempfile",
".",
"mkstemp",
"(",
"'.flac'",
")",
"sound",
"=",
"AudioSegment",
".",
"from_wav",
"(",
"self",
".",
"audio",
".",
"filename",
"(",
")",
")",
"sound",
".",
"export",
"(",
"stt_flac_filename",
",",
"format",
"=",
"\"flac\"",
")",
"# send to Google to interpret into text",
"g_url",
"=",
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"headers",
"=",
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"'Content-Type'",
":",
"'audio/x-flac; rate= %d;'",
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",",
"headers",
"=",
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"ConnectionError",
":",
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"(",
")",
"response",
"=",
"r",
".",
"text",
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"remove",
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"stt_flac_filename",
")",
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"audio",
".",
"housekeeping",
"(",
")",
"if",
"not",
"'hypotheses'",
"in",
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":",
"raise",
"NotUnderstoodException",
"(",
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"# we are only interested in the most likely utterance",
"phrase",
"=",
"json",
".",
"loads",
"(",
"response",
")",
"[",
"'hypotheses'",
"]",
"[",
"0",
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"[",
"'utterance'",
"]",
"print",
"\"Heard: \"",
"+",
"phrase",
"return",
"str",
"(",
"phrase",
")"
] |
https://github.com/thomasweng15/E.V.E./blob/e3bea3e45d0c549eccc6824c9cadbcc6980545f6/stt/google.py#L23-L49
|
|
aws-samples/aws-kube-codesuite
|
ab4e5ce45416b83bffb947ab8d234df5437f4fca
|
src/kubernetes/client/apis/authentication_v1beta1_api.py
|
python
|
AuthenticationV1beta1Api.create_token_review
|
(self, body, **kwargs)
|
create a TokenReview
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.create_token_review(body, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param V1beta1TokenReview body: (required)
:param str pretty: If 'true', then the output is pretty printed.
:return: V1beta1TokenReview
If the method is called asynchronously,
returns the request thread.
|
create a TokenReview
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.create_token_review(body, callback=callback_function)
|
[
"create",
"a",
"TokenReview",
"This",
"method",
"makes",
"a",
"synchronous",
"HTTP",
"request",
"by",
"default",
".",
"To",
"make",
"an",
"asynchronous",
"HTTP",
"request",
"please",
"define",
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"to",
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">>>",
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"callback_function",
"(",
"response",
")",
":",
">>>",
"pprint",
"(",
"response",
")",
">>>",
">>>",
"thread",
"=",
"api",
".",
"create_token_review",
"(",
"body",
"callback",
"=",
"callback_function",
")"
] |
def create_token_review(self, body, **kwargs):
"""
create a TokenReview
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.create_token_review(body, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param V1beta1TokenReview body: (required)
:param str pretty: If 'true', then the output is pretty printed.
:return: V1beta1TokenReview
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('callback'):
return self.create_token_review_with_http_info(body, **kwargs)
else:
(data) = self.create_token_review_with_http_info(body, **kwargs)
return data
|
[
"def",
"create_token_review",
"(",
"self",
",",
"body",
",",
"*",
"*",
"kwargs",
")",
":",
"kwargs",
"[",
"'_return_http_data_only'",
"]",
"=",
"True",
"if",
"kwargs",
".",
"get",
"(",
"'callback'",
")",
":",
"return",
"self",
".",
"create_token_review_with_http_info",
"(",
"body",
",",
"*",
"*",
"kwargs",
")",
"else",
":",
"(",
"data",
")",
"=",
"self",
".",
"create_token_review_with_http_info",
"(",
"body",
",",
"*",
"*",
"kwargs",
")",
"return",
"data"
] |
https://github.com/aws-samples/aws-kube-codesuite/blob/ab4e5ce45416b83bffb947ab8d234df5437f4fca/src/kubernetes/client/apis/authentication_v1beta1_api.py#L43-L67
|
||
ales-tsurko/cells
|
4cf7e395cd433762bea70cdc863a346f3a6fe1d0
|
packaging/macos/python/lib/python3.7/tkinter/__init__.py
|
python
|
Listbox.index
|
(self, index)
|
return self.tk.getint(i)
|
Return index of item identified with INDEX.
|
Return index of item identified with INDEX.
|
[
"Return",
"index",
"of",
"item",
"identified",
"with",
"INDEX",
"."
] |
def index(self, index):
"""Return index of item identified with INDEX."""
i = self.tk.call(self._w, 'index', index)
if i == 'none': return None
return self.tk.getint(i)
|
[
"def",
"index",
"(",
"self",
",",
"index",
")",
":",
"i",
"=",
"self",
".",
"tk",
".",
"call",
"(",
"self",
".",
"_w",
",",
"'index'",
",",
"index",
")",
"if",
"i",
"==",
"'none'",
":",
"return",
"None",
"return",
"self",
".",
"tk",
".",
"getint",
"(",
"i",
")"
] |
https://github.com/ales-tsurko/cells/blob/4cf7e395cd433762bea70cdc863a346f3a6fe1d0/packaging/macos/python/lib/python3.7/tkinter/__init__.py#L2799-L2803
|
|
jupyterhub/repo2docker
|
a37a205c0e8a59240933d20c1c4fb80767e71db2
|
repo2docker/buildpacks/base.py
|
python
|
BuildPack.get_post_build_scripts
|
(self)
|
return []
|
An ordered list of executable scripts to execute after build.
Is run as a non-root user, and must be executable. Used for performing
build time steps that can not be performed with standard tools.
The scripts should be as deterministic as possible - running it twice
should not produce different results!
|
An ordered list of executable scripts to execute after build.
|
[
"An",
"ordered",
"list",
"of",
"executable",
"scripts",
"to",
"execute",
"after",
"build",
"."
] |
def get_post_build_scripts(self):
"""
An ordered list of executable scripts to execute after build.
Is run as a non-root user, and must be executable. Used for performing
build time steps that can not be performed with standard tools.
The scripts should be as deterministic as possible - running it twice
should not produce different results!
"""
return []
|
[
"def",
"get_post_build_scripts",
"(",
"self",
")",
":",
"return",
"[",
"]"
] |
https://github.com/jupyterhub/repo2docker/blob/a37a205c0e8a59240933d20c1c4fb80767e71db2/repo2docker/buildpacks/base.py#L392-L402
|
|
google-research/mixmatch
|
1011a1d51eaa9ca6f5dba02096a848d1fe3fc38e
|
scripts/create_datasets.py
|
python
|
_encode_png
|
(images)
|
return raw
|
[] |
def _encode_png(images):
raw = []
with tf.Session() as sess, tf.device('cpu:0'):
image_x = tf.placeholder(tf.uint8, [None, None, None], 'image_x')
to_png = tf.image.encode_png(image_x)
for x in trange(images.shape[0], desc='PNG Encoding', leave=False):
raw.append(sess.run(to_png, feed_dict={image_x: images[x]}))
return raw
|
[
"def",
"_encode_png",
"(",
"images",
")",
":",
"raw",
"=",
"[",
"]",
"with",
"tf",
".",
"Session",
"(",
")",
"as",
"sess",
",",
"tf",
".",
"device",
"(",
"'cpu:0'",
")",
":",
"image_x",
"=",
"tf",
".",
"placeholder",
"(",
"tf",
".",
"uint8",
",",
"[",
"None",
",",
"None",
",",
"None",
"]",
",",
"'image_x'",
")",
"to_png",
"=",
"tf",
".",
"image",
".",
"encode_png",
"(",
"image_x",
")",
"for",
"x",
"in",
"trange",
"(",
"images",
".",
"shape",
"[",
"0",
"]",
",",
"desc",
"=",
"'PNG Encoding'",
",",
"leave",
"=",
"False",
")",
":",
"raw",
".",
"append",
"(",
"sess",
".",
"run",
"(",
"to_png",
",",
"feed_dict",
"=",
"{",
"image_x",
":",
"images",
"[",
"x",
"]",
"}",
")",
")",
"return",
"raw"
] |
https://github.com/google-research/mixmatch/blob/1011a1d51eaa9ca6f5dba02096a848d1fe3fc38e/scripts/create_datasets.py#L43-L50
|
|||
meejah/txtorcon
|
7da6ad6f91c395951be1b4e7e1011baa2f7a689f
|
examples/launch_tor_with_simplehttpd.py
|
python
|
setup_complete
|
(config, port, proto)
|
[] |
def setup_complete(config, port, proto):
# Callback from twisted when tor has booted.
# We create a reference to this function via functools.partial that
# provides us with a reference to 'config' and 'port', twisted then adds
# the 'proto' argument
print('\nTor is now running. The hidden service is available at')
print('\n\thttp://%s:%i\n' % (config.HiddenServices[0].hostname, port))
# This is probably more secure than any other httpd...
print('## DO NOT RELY ON THIS SERVER TO TRANSFER FILES IN A SECURE WAY ##')
|
[
"def",
"setup_complete",
"(",
"config",
",",
"port",
",",
"proto",
")",
":",
"# Callback from twisted when tor has booted.",
"# We create a reference to this function via functools.partial that",
"# provides us with a reference to 'config' and 'port', twisted then adds",
"# the 'proto' argument",
"print",
"(",
"'\\nTor is now running. The hidden service is available at'",
")",
"print",
"(",
"'\\n\\thttp://%s:%i\\n'",
"%",
"(",
"config",
".",
"HiddenServices",
"[",
"0",
"]",
".",
"hostname",
",",
"port",
")",
")",
"# This is probably more secure than any other httpd...",
"print",
"(",
"'## DO NOT RELY ON THIS SERVER TO TRANSFER FILES IN A SECURE WAY ##'",
")"
] |
https://github.com/meejah/txtorcon/blob/7da6ad6f91c395951be1b4e7e1011baa2f7a689f/examples/launch_tor_with_simplehttpd.py#L51-L59
|
||||
YoYo000/MVSNet
|
3ae2cb2b72c6df58ebcb321d7d243d4efd01fbc5
|
cnn_wrapper/network.py
|
python
|
Network.conv
|
(self,
input_tensor,
kernel_size,
filters,
strides,
name,
relu=True,
dilation_rate=1,
padding=DEFAULT_PADDING,
biased=True,
reuse=False,
separable=False)
|
2D/3D convolution.
|
2D/3D convolution.
|
[
"2D",
"/",
"3D",
"convolution",
"."
] |
def conv(self,
input_tensor,
kernel_size,
filters,
strides,
name,
relu=True,
dilation_rate=1,
padding=DEFAULT_PADDING,
biased=True,
reuse=False,
separable=False):
"""2D/3D convolution."""
kwargs = {'filters': filters,
'kernel_size': kernel_size,
'strides': strides,
'activation': tf.nn.relu if relu else None,
'use_bias': biased,
'dilation_rate': dilation_rate,
'trainable': self.trainable,
'reuse': self.reuse or reuse,
'bias_regularizer': self.regularizer if biased else None,
'name': name,
'padding': padding}
if separable:
kwargs['depthwise_regularizer'] = self.regularizer
kwargs['pointwise_regularizer'] = self.regularizer
else:
kwargs['kernel_regularizer'] = self.regularizer
if len(input_tensor.get_shape()) == 4:
if not separable:
return tf.layers.conv2d(input_tensor, **kwargs)
else:
return tf.layers.separable_conv2d(input_tensor, **kwargs)
elif len(input_tensor.get_shape()) == 5:
if not separable:
return tf.layers.conv3d(input_tensor, **kwargs)
else:
raise NotImplementedError('No official implementation for separable_conv3d')
else:
raise ValueError('Improper input rank for layer: ' + name)
|
[
"def",
"conv",
"(",
"self",
",",
"input_tensor",
",",
"kernel_size",
",",
"filters",
",",
"strides",
",",
"name",
",",
"relu",
"=",
"True",
",",
"dilation_rate",
"=",
"1",
",",
"padding",
"=",
"DEFAULT_PADDING",
",",
"biased",
"=",
"True",
",",
"reuse",
"=",
"False",
",",
"separable",
"=",
"False",
")",
":",
"kwargs",
"=",
"{",
"'filters'",
":",
"filters",
",",
"'kernel_size'",
":",
"kernel_size",
",",
"'strides'",
":",
"strides",
",",
"'activation'",
":",
"tf",
".",
"nn",
".",
"relu",
"if",
"relu",
"else",
"None",
",",
"'use_bias'",
":",
"biased",
",",
"'dilation_rate'",
":",
"dilation_rate",
",",
"'trainable'",
":",
"self",
".",
"trainable",
",",
"'reuse'",
":",
"self",
".",
"reuse",
"or",
"reuse",
",",
"'bias_regularizer'",
":",
"self",
".",
"regularizer",
"if",
"biased",
"else",
"None",
",",
"'name'",
":",
"name",
",",
"'padding'",
":",
"padding",
"}",
"if",
"separable",
":",
"kwargs",
"[",
"'depthwise_regularizer'",
"]",
"=",
"self",
".",
"regularizer",
"kwargs",
"[",
"'pointwise_regularizer'",
"]",
"=",
"self",
".",
"regularizer",
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":",
"kwargs",
"[",
"'kernel_regularizer'",
"]",
"=",
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"regularizer",
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"len",
"(",
"input_tensor",
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"get_shape",
"(",
")",
")",
"==",
"4",
":",
"if",
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":",
"return",
"tf",
".",
"layers",
".",
"conv2d",
"(",
"input_tensor",
",",
"*",
"*",
"kwargs",
")",
"else",
":",
"return",
"tf",
".",
"layers",
".",
"separable_conv2d",
"(",
"input_tensor",
",",
"*",
"*",
"kwargs",
")",
"elif",
"len",
"(",
"input_tensor",
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"get_shape",
"(",
")",
")",
"==",
"5",
":",
"if",
"not",
"separable",
":",
"return",
"tf",
".",
"layers",
".",
"conv3d",
"(",
"input_tensor",
",",
"*",
"*",
"kwargs",
")",
"else",
":",
"raise",
"NotImplementedError",
"(",
"'No official implementation for separable_conv3d'",
")",
"else",
":",
"raise",
"ValueError",
"(",
"'Improper input rank for layer: '",
"+",
"name",
")"
] |
https://github.com/YoYo000/MVSNet/blob/3ae2cb2b72c6df58ebcb321d7d243d4efd01fbc5/cnn_wrapper/network.py#L160-L202
|
||
tav/pylibs
|
3c16b843681f54130ee6a022275289cadb2f2a69
|
genshi/template/base.py
|
python
|
Context.keys
|
(self)
|
return keys
|
Return the name of all variables in the context.
:return: a list of variable names
|
Return the name of all variables in the context.
:return: a list of variable names
|
[
"Return",
"the",
"name",
"of",
"all",
"variables",
"in",
"the",
"context",
".",
":",
"return",
":",
"a",
"list",
"of",
"variable",
"names"
] |
def keys(self):
"""Return the name of all variables in the context.
:return: a list of variable names
"""
keys = []
for frame in self.frames:
keys += [key for key in frame if key not in keys]
return keys
|
[
"def",
"keys",
"(",
"self",
")",
":",
"keys",
"=",
"[",
"]",
"for",
"frame",
"in",
"self",
".",
"frames",
":",
"keys",
"+=",
"[",
"key",
"for",
"key",
"in",
"frame",
"if",
"key",
"not",
"in",
"keys",
"]",
"return",
"keys"
] |
https://github.com/tav/pylibs/blob/3c16b843681f54130ee6a022275289cadb2f2a69/genshi/template/base.py#L219-L227
|
|
moloch--/RootTheBox
|
097272332b9f9b7e2df31ca0823ed10c7b66ac81
|
handlers/AdminHandlers/AdminGameObjectHandlers.py
|
python
|
AdminCreateHandler.add_attachments
|
(self, flag)
|
Add uploaded files as attachments to flags
|
Add uploaded files as attachments to flags
|
[
"Add",
"uploaded",
"files",
"as",
"attachments",
"to",
"flags"
] |
def add_attachments(self, flag):
""" Add uploaded files as attachments to flags """
if hasattr(self.request, "files"):
if "flag" not in self.request.files:
return
for attachment in self.request.files["flag"]:
flag_attachment = FlagAttachment(file_name=attachment["filename"])
flag_attachment.data = attachment["body"]
flag.flag_attachments.append(flag_attachment)
self.dbsession.add(flag_attachment)
self.dbsession.flush()
|
[
"def",
"add_attachments",
"(",
"self",
",",
"flag",
")",
":",
"if",
"hasattr",
"(",
"self",
".",
"request",
",",
"\"files\"",
")",
":",
"if",
"\"flag\"",
"not",
"in",
"self",
".",
"request",
".",
"files",
":",
"return",
"for",
"attachment",
"in",
"self",
".",
"request",
".",
"files",
"[",
"\"flag\"",
"]",
":",
"flag_attachment",
"=",
"FlagAttachment",
"(",
"file_name",
"=",
"attachment",
"[",
"\"filename\"",
"]",
")",
"flag_attachment",
".",
"data",
"=",
"attachment",
"[",
"\"body\"",
"]",
"flag",
".",
"flag_attachments",
".",
"append",
"(",
"flag_attachment",
")",
"self",
".",
"dbsession",
".",
"add",
"(",
"flag_attachment",
")",
"self",
".",
"dbsession",
".",
"flush",
"(",
")"
] |
https://github.com/moloch--/RootTheBox/blob/097272332b9f9b7e2df31ca0823ed10c7b66ac81/handlers/AdminHandlers/AdminGameObjectHandlers.py#L361-L371
|
||
projecthamster/hamster
|
19d160090de30e756bdc3122ff935bdaa86e2843
|
waflib/Tools/qt5.py
|
python
|
rcc.scan
|
(self)
|
return (nodes, names)
|
Parse the *.qrc* files
|
Parse the *.qrc* files
|
[
"Parse",
"the",
"*",
".",
"qrc",
"*",
"files"
] |
def scan(self):
"""Parse the *.qrc* files"""
if not has_xml:
Logs.error('No xml.sax support was found, rcc dependencies will be incomplete!')
return ([], [])
parser = make_parser()
curHandler = XMLHandler()
parser.setContentHandler(curHandler)
with open(self.inputs[0].abspath(), 'r') as f:
parser.parse(f)
nodes = []
names = []
root = self.inputs[0].parent
for x in curHandler.files:
nd = root.find_resource(x)
if nd:
nodes.append(nd)
else:
names.append(x)
return (nodes, names)
|
[
"def",
"scan",
"(",
"self",
")",
":",
"if",
"not",
"has_xml",
":",
"Logs",
".",
"error",
"(",
"'No xml.sax support was found, rcc dependencies will be incomplete!'",
")",
"return",
"(",
"[",
"]",
",",
"[",
"]",
")",
"parser",
"=",
"make_parser",
"(",
")",
"curHandler",
"=",
"XMLHandler",
"(",
")",
"parser",
".",
"setContentHandler",
"(",
"curHandler",
")",
"with",
"open",
"(",
"self",
".",
"inputs",
"[",
"0",
"]",
".",
"abspath",
"(",
")",
",",
"'r'",
")",
"as",
"f",
":",
"parser",
".",
"parse",
"(",
"f",
")",
"nodes",
"=",
"[",
"]",
"names",
"=",
"[",
"]",
"root",
"=",
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"inputs",
"[",
"0",
"]",
".",
"parent",
"for",
"x",
"in",
"curHandler",
".",
"files",
":",
"nd",
"=",
"root",
".",
"find_resource",
"(",
"x",
")",
"if",
"nd",
":",
"nodes",
".",
"append",
"(",
"nd",
")",
"else",
":",
"names",
".",
"append",
"(",
"x",
")",
"return",
"(",
"nodes",
",",
"names",
")"
] |
https://github.com/projecthamster/hamster/blob/19d160090de30e756bdc3122ff935bdaa86e2843/waflib/Tools/qt5.py#L379-L400
|
|
DexterInd/BrickPi
|
0f4b64c03d734f31e07d4d462cc5347ed2fea54a
|
Software/BrickPi_Python/Contrib/ThreadSafeBrickPi/ThreadSafeBrickPi.py
|
python
|
BrickPiSensor.callback_setup
|
(self, stage)
|
return -1, 0, 0, 0
|
[] |
def callback_setup(self, stage):
return -1, 0, 0, 0
|
[
"def",
"callback_setup",
"(",
"self",
",",
"stage",
")",
":",
"return",
"-",
"1",
",",
"0",
",",
"0",
",",
"0"
] |
https://github.com/DexterInd/BrickPi/blob/0f4b64c03d734f31e07d4d462cc5347ed2fea54a/Software/BrickPi_Python/Contrib/ThreadSafeBrickPi/ThreadSafeBrickPi.py#L726-L727
|
|||
andresriancho/w3af
|
cd22e5252243a87aaa6d0ddea47cf58dacfe00a9
|
w3af/plugins/audit/global_redirect.py
|
python
|
global_redirect._javascript_redirect
|
(self, response)
|
return False
|
Test for JavaScript redirects, these are some common redirects:
// These also work without the `window.` at the beginning
window.location = "http://www.w3af.org/";
window.location.href = "http://www.w3af.org/";
window.location.replace("http://www.w3af.org");
window.location.assign('http://www.w3af.org');
self.location = 'http://www.w3af.org';
top.location = 'http://www.w3af.org';
// jQuery
$(location).attr('href', 'http://www.w3af.org');
$(window).attr('location', 'http://www.w3af.org');
$(location).prop('href', 'http://www.w3af.org');
// Only for old IE
window.navigate('http://www.w3af.org');
|
Test for JavaScript redirects, these are some common redirects:
|
[
"Test",
"for",
"JavaScript",
"redirects",
"these",
"are",
"some",
"common",
"redirects",
":"
] |
def _javascript_redirect(self, response):
"""
Test for JavaScript redirects, these are some common redirects:
// These also work without the `window.` at the beginning
window.location = "http://www.w3af.org/";
window.location.href = "http://www.w3af.org/";
window.location.replace("http://www.w3af.org");
window.location.assign('http://www.w3af.org');
self.location = 'http://www.w3af.org';
top.location = 'http://www.w3af.org';
// jQuery
$(location).attr('href', 'http://www.w3af.org');
$(window).attr('location', 'http://www.w3af.org');
$(location).prop('href', 'http://www.w3af.org');
// Only for old IE
window.navigate('http://www.w3af.org');
"""
for statement in self._extract_script_code(response):
if self.TEST_DOMAIN not in statement:
continue
for redir_to_test_domain_re in self.REDIR_TO_TEST_DOMAIN_JS_RE:
if redir_to_test_domain_re.search(statement):
return True
return False
|
[
"def",
"_javascript_redirect",
"(",
"self",
",",
"response",
")",
":",
"for",
"statement",
"in",
"self",
".",
"_extract_script_code",
"(",
"response",
")",
":",
"if",
"self",
".",
"TEST_DOMAIN",
"not",
"in",
"statement",
":",
"continue",
"for",
"redir_to_test_domain_re",
"in",
"self",
".",
"REDIR_TO_TEST_DOMAIN_JS_RE",
":",
"if",
"redir_to_test_domain_re",
".",
"search",
"(",
"statement",
")",
":",
"return",
"True",
"return",
"False"
] |
https://github.com/andresriancho/w3af/blob/cd22e5252243a87aaa6d0ddea47cf58dacfe00a9/w3af/plugins/audit/global_redirect.py#L293-L322
|
|
openstack/nova
|
b49b7663e1c3073917d5844b81d38db8e86d05c4
|
nova/virt/driver.py
|
python
|
ComputeDriver.manages_network_binding_host_id
|
(self)
|
return False
|
Compute driver manages port bindings.
Used to indicate whether or not the compute driver is responsible
for managing port binding details, such as the host_id.
By default the ComputeManager will manage port bindings and the
host_id associated with a binding using the network API.
However, some backends, like Ironic, will manage the port binding
host_id out-of-band and the compute service should not override what
is set by the backing hypervisor.
|
Compute driver manages port bindings.
|
[
"Compute",
"driver",
"manages",
"port",
"bindings",
"."
] |
def manages_network_binding_host_id(self):
"""Compute driver manages port bindings.
Used to indicate whether or not the compute driver is responsible
for managing port binding details, such as the host_id.
By default the ComputeManager will manage port bindings and the
host_id associated with a binding using the network API.
However, some backends, like Ironic, will manage the port binding
host_id out-of-band and the compute service should not override what
is set by the backing hypervisor.
"""
return False
|
[
"def",
"manages_network_binding_host_id",
"(",
"self",
")",
":",
"return",
"False"
] |
https://github.com/openstack/nova/blob/b49b7663e1c3073917d5844b81d38db8e86d05c4/nova/virt/driver.py#L1761-L1772
|
|
jupyterhub/jupyterhub
|
e58cf0670690d11631f9dc6e1ab702c60f7bfd13
|
jupyterhub/utils.py
|
python
|
auth_decorator
|
(check_auth)
|
return decorator
|
Make an authentication decorator.
I heard you like decorators, so I put a decorator
in your decorator, so you can decorate while you decorate.
|
Make an authentication decorator.
|
[
"Make",
"an",
"authentication",
"decorator",
"."
] |
def auth_decorator(check_auth):
"""Make an authentication decorator.
I heard you like decorators, so I put a decorator
in your decorator, so you can decorate while you decorate.
"""
def decorator(method):
def decorated(self, *args, **kwargs):
check_auth(self, **kwargs)
return method(self, *args, **kwargs)
# Perhaps replace with functools.wrap
decorated.__name__ = method.__name__
decorated.__doc__ = method.__doc__
return decorated
decorator.__name__ = check_auth.__name__
decorator.__doc__ = check_auth.__doc__
return decorator
|
[
"def",
"auth_decorator",
"(",
"check_auth",
")",
":",
"def",
"decorator",
"(",
"method",
")",
":",
"def",
"decorated",
"(",
"self",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
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":",
"check_auth",
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"__name__",
"decorator",
".",
"__doc__",
"=",
"check_auth",
".",
"__doc__",
"return",
"decorator"
] |
https://github.com/jupyterhub/jupyterhub/blob/e58cf0670690d11631f9dc6e1ab702c60f7bfd13/jupyterhub/utils.py#L252-L271
|
|
andresriancho/w3af
|
cd22e5252243a87aaa6d0ddea47cf58dacfe00a9
|
w3af/plugins/attack/db/sqlmap/lib/core/target.py
|
python
|
setupTargetEnv
|
()
|
[] |
def setupTargetEnv():
_createTargetDirs()
_setRequestParams()
_setHashDB()
_resumeHashDBValues()
_setResultsFile()
_setAuthCred()
|
[
"def",
"setupTargetEnv",
"(",
")",
":",
"_createTargetDirs",
"(",
")",
"_setRequestParams",
"(",
")",
"_setHashDB",
"(",
")",
"_resumeHashDBValues",
"(",
")",
"_setResultsFile",
"(",
")",
"_setAuthCred",
"(",
")"
] |
https://github.com/andresriancho/w3af/blob/cd22e5252243a87aaa6d0ddea47cf58dacfe00a9/w3af/plugins/attack/db/sqlmap/lib/core/target.py#L737-L743
|
||||
DLR-RM/stable-baselines3
|
e9a8979022d7005560d43b7a9c1dc1ba85f7989a
|
stable_baselines3/common/logger.py
|
python
|
TensorBoardOutputFormat.close
|
(self)
|
closes the file
|
closes the file
|
[
"closes",
"the",
"file"
] |
def close(self) -> None:
"""
closes the file
"""
if self.writer:
self.writer.close()
self.writer = None
|
[
"def",
"close",
"(",
"self",
")",
"->",
"None",
":",
"if",
"self",
".",
"writer",
":",
"self",
".",
"writer",
".",
"close",
"(",
")",
"self",
".",
"writer",
"=",
"None"
] |
https://github.com/DLR-RM/stable-baselines3/blob/e9a8979022d7005560d43b7a9c1dc1ba85f7989a/stable_baselines3/common/logger.py#L368-L374
|
||
4shadoww/hakkuframework
|
409a11fc3819d251f86faa3473439f8c19066a21
|
lib/dns/update.py
|
python
|
UpdateMessage.__init__
|
(self, zone=None, rdclass=dns.rdataclass.IN, keyring=None,
keyname=None, keyalgorithm=dns.tsig.default_algorithm,
id=None)
|
Initialize a new DNS Update object.
See the documentation of the Message class for a complete
description of the keyring dictionary.
*zone*, a ``dns.name.Name``, ``str``, or ``None``, the zone
which is being updated. ``None`` should only be used by dnspython's
message constructors, as a zone is required for the convenience
methods like ``add()``, ``replace()``, etc.
*rdclass*, an ``int`` or ``str``, the class of the zone.
The *keyring*, *keyname*, and *keyalgorithm* parameters are passed to
``use_tsig()``; see its documentation for details.
|
Initialize a new DNS Update object.
|
[
"Initialize",
"a",
"new",
"DNS",
"Update",
"object",
"."
] |
def __init__(self, zone=None, rdclass=dns.rdataclass.IN, keyring=None,
keyname=None, keyalgorithm=dns.tsig.default_algorithm,
id=None):
"""Initialize a new DNS Update object.
See the documentation of the Message class for a complete
description of the keyring dictionary.
*zone*, a ``dns.name.Name``, ``str``, or ``None``, the zone
which is being updated. ``None`` should only be used by dnspython's
message constructors, as a zone is required for the convenience
methods like ``add()``, ``replace()``, etc.
*rdclass*, an ``int`` or ``str``, the class of the zone.
The *keyring*, *keyname*, and *keyalgorithm* parameters are passed to
``use_tsig()``; see its documentation for details.
"""
super().__init__(id=id)
self.flags |= dns.opcode.to_flags(dns.opcode.UPDATE)
if isinstance(zone, str):
zone = dns.name.from_text(zone)
self.origin = zone
rdclass = dns.rdataclass.RdataClass.make(rdclass)
self.zone_rdclass = rdclass
if self.origin:
self.find_rrset(self.zone, self.origin, rdclass, dns.rdatatype.SOA,
create=True, force_unique=True)
if keyring is not None:
self.use_tsig(keyring, keyname, algorithm=keyalgorithm)
|
[
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"__init__",
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"self",
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"=",
"None",
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"rdclass",
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":",
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".",
"zone",
",",
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",",
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",",
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"use_tsig",
"(",
"keyring",
",",
"keyname",
",",
"algorithm",
"=",
"keyalgorithm",
")"
] |
https://github.com/4shadoww/hakkuframework/blob/409a11fc3819d251f86faa3473439f8c19066a21/lib/dns/update.py#L46-L75
|
||
KvasirSecurity/Kvasir
|
a5b3775184a8343240e1154a1f762f75df04dc0a
|
modules/zenmapCore_Kvasir/ScriptArgsParser.py
|
python
|
parse_string
|
(s, start)
|
Parses a single string that is quoted, unquoted or empty. It returns the
found string along with the next starting position
|
Parses a single string that is quoted, unquoted or empty. It returns the
found string along with the next starting position
|
[
"Parses",
"a",
"single",
"string",
"that",
"is",
"quoted",
"unquoted",
"or",
"empty",
".",
"It",
"returns",
"the",
"found",
"string",
"along",
"with",
"the",
"next",
"starting",
"position"
] |
def parse_string(s, start):
"""Parses a single string that is quoted, unquoted or empty. It returns the
found string along with the next starting position """
for pattern in unquoted_re, quoted_re, empty_re:
m = pattern.match(s, start) or quoted_re.match(s, start)
if m:
return m.group(1), m.end(1)
raise ValueError("No string found at %s." % repr(s[start:]))
|
[
"def",
"parse_string",
"(",
"s",
",",
"start",
")",
":",
"for",
"pattern",
"in",
"unquoted_re",
",",
"quoted_re",
",",
"empty_re",
":",
"m",
"=",
"pattern",
".",
"match",
"(",
"s",
",",
"start",
")",
"or",
"quoted_re",
".",
"match",
"(",
"s",
",",
"start",
")",
"if",
"m",
":",
"return",
"m",
".",
"group",
"(",
"1",
")",
",",
"m",
".",
"end",
"(",
"1",
")",
"raise",
"ValueError",
"(",
"\"No string found at %s.\"",
"%",
"repr",
"(",
"s",
"[",
"start",
":",
"]",
")",
")"
] |
https://github.com/KvasirSecurity/Kvasir/blob/a5b3775184a8343240e1154a1f762f75df04dc0a/modules/zenmapCore_Kvasir/ScriptArgsParser.py#L134-L141
|
||
getsentry/zeus
|
6d4a490c19ebe406b551641a022ca08f26c21fcb
|
zeus/api/resources/change_request_index.py
|
python
|
ChangeRequestIndexResource.get
|
(self)
|
return self.paginate_with_schema(schema, query)
|
Return a list of change requests.
|
Return a list of change requests.
|
[
"Return",
"a",
"list",
"of",
"change",
"requests",
"."
] |
def get(self):
"""
Return a list of change requests.
"""
tenant = auth.get_current_tenant()
if not tenant.repository_ids:
return self.respond([])
query = (
ChangeRequest.query.options(
joinedload("head_revision"),
joinedload("parent_revision"),
subqueryload_all("authors"),
)
.filter(ChangeRequest.repository_id.in_(tenant.repository_ids))
.order_by(ChangeRequest.date_created.desc())
)
user = request.args.get("user")
if user:
if user == "me":
user = auth.get_current_user()
else:
user = User.query.get(user)
if not user:
return self.respond([])
query = query.filter(
ChangeRequest.author_id.in_(
db.session.query(Author.id).filter(
Author.email.in_(
db.session.query(Email.email).filter(
Email.user_id == user.id, Email.verified == True # NOQA
)
)
)
)
)
repository = request.args.get("repository")
if repository:
repo = Repository.from_full_name(repository)
if not repo:
return self.respond([])
query = query.filter(ChangeRequest.repository_id == repo.id)
schema = ChangeRequestWithBuildSchema(many=True)
return self.paginate_with_schema(schema, query)
|
[
"def",
"get",
"(",
"self",
")",
":",
"tenant",
"=",
"auth",
".",
"get_current_tenant",
"(",
")",
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"repository_ids",
":",
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"[",
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"ChangeRequest",
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")",
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")",
")",
")",
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"from_full_name",
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")",
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"[",
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"(",
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"(",
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"True",
")",
"return",
"self",
".",
"paginate_with_schema",
"(",
"schema",
",",
"query",
")"
] |
https://github.com/getsentry/zeus/blob/6d4a490c19ebe406b551641a022ca08f26c21fcb/zeus/api/resources/change_request_index.py#L38-L83
|
|
ydkhatri/mac_apt
|
729630c8bbe7a73cce3ca330305d3301a919cb07
|
plugins/helpers/common.py
|
python
|
CommonFunctions.ReadMacAbsoluteTime
|
(mac_abs_time)
|
return ''
|
Returns datetime object, or empty string upon error
|
Returns datetime object, or empty string upon error
|
[
"Returns",
"datetime",
"object",
"or",
"empty",
"string",
"upon",
"error"
] |
def ReadMacAbsoluteTime(mac_abs_time): # Mac Absolute time is time epoch beginning 2001/1/1
'''Returns datetime object, or empty string upon error'''
if mac_abs_time not in ( 0, None, ''):
try:
if isinstance(mac_abs_time, str):
mac_abs_time = float(mac_abs_time)
if mac_abs_time in (-63114076800, -63114076800000000000) : # MS & Python considers -63113904000 as 01-01-0001, Apple considers -63114076800
return datetime.datetime(1,1,1)
if abs(mac_abs_time) > 0xFFFFFFFF: # more than 32 bits, this should be nano-second resolution timestamp (seen only in HighSierra)
return datetime.datetime(2001, 1, 1) + datetime.timedelta(seconds=mac_abs_time/1000000000.)
return datetime.datetime(2001, 1, 1) + datetime.timedelta(seconds=mac_abs_time)
except (ValueError, OverflowError, TypeError) as ex:
log.error("ReadMacAbsoluteTime() Failed to convert timestamp from value " + str(mac_abs_time) + " Error was: " + str(ex))
return ''
|
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"(",
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")",
")",
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] |
https://github.com/ydkhatri/mac_apt/blob/729630c8bbe7a73cce3ca330305d3301a919cb07/plugins/helpers/common.py#L47-L60
|
|
plotly/plotly.py
|
cfad7862594b35965c0e000813bd7805e8494a5b
|
packages/python/plotly/plotly/graph_objs/_heatmap.py
|
python
|
Heatmap.coloraxis
|
(self)
|
return self["coloraxis"]
|
Sets a reference to a shared color axis. References to these
shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
etc. Settings for these shared color axes are set in the
layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
Note that multiple color scales can be linked to the same color
axis.
The 'coloraxis' property is an identifier of a particular
subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
optionally followed by an integer >= 1
(e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
Returns
-------
str
|
Sets a reference to a shared color axis. References to these
shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
etc. Settings for these shared color axes are set in the
layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
Note that multiple color scales can be linked to the same color
axis.
The 'coloraxis' property is an identifier of a particular
subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
optionally followed by an integer >= 1
(e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
|
[
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"coloraxis",
"coloraxis1",
"coloraxis2",
"coloraxis3",
"etc",
".",
")"
] |
def coloraxis(self):
"""
Sets a reference to a shared color axis. References to these
shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
etc. Settings for these shared color axes are set in the
layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
Note that multiple color scales can be linked to the same color
axis.
The 'coloraxis' property is an identifier of a particular
subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
optionally followed by an integer >= 1
(e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)
Returns
-------
str
"""
return self["coloraxis"]
|
[
"def",
"coloraxis",
"(",
"self",
")",
":",
"return",
"self",
"[",
"\"coloraxis\"",
"]"
] |
https://github.com/plotly/plotly.py/blob/cfad7862594b35965c0e000813bd7805e8494a5b/packages/python/plotly/plotly/graph_objs/_heatmap.py#L111-L129
|
|
IronLanguages/main
|
a949455434b1fda8c783289e897e78a9a0caabb5
|
External.LCA_RESTRICTED/Languages/IronPython/repackage/pip/pip/_vendor/distlib/locators.py
|
python
|
Page.__init__
|
(self, data, url)
|
Initialise an instance with the Unicode page contents and the URL they
came from.
|
Initialise an instance with the Unicode page contents and the URL they
came from.
|
[
"Initialise",
"an",
"instance",
"with",
"the",
"Unicode",
"page",
"contents",
"and",
"the",
"URL",
"they",
"came",
"from",
"."
] |
def __init__(self, data, url):
"""
Initialise an instance with the Unicode page contents and the URL they
came from.
"""
self.data = data
self.base_url = self.url = url
m = self._base.search(self.data)
if m:
self.base_url = m.group(1)
|
[
"def",
"__init__",
"(",
"self",
",",
"data",
",",
"url",
")",
":",
"self",
".",
"data",
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":",
"self",
".",
"base_url",
"=",
"m",
".",
"group",
"(",
"1",
")"
] |
https://github.com/IronLanguages/main/blob/a949455434b1fda8c783289e897e78a9a0caabb5/External.LCA_RESTRICTED/Languages/IronPython/repackage/pip/pip/_vendor/distlib/locators.py#L512-L521
|
||
the4thdoctor/pg_chameleon
|
9d80212541559c8d0a42b3e7c1b2c67bb7606411
|
pg_chameleon/lib/pg_lib.py
|
python
|
pg_engine.reindex_table
|
(self, schema, table)
|
The method run a REINDEX TABLE on the table defined by schema and name.
:param schema: the table's schema
:param table: the table's name
|
The method run a REINDEX TABLE on the table defined by schema and name.
:param schema: the table's schema
:param table: the table's name
|
[
"The",
"method",
"run",
"a",
"REINDEX",
"TABLE",
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"the",
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"defined",
"by",
"schema",
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":",
"param",
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":",
"the",
"table",
"s",
"schema",
":",
"param",
"table",
":",
"the",
"table",
"s",
"name"
] |
def reindex_table(self, schema, table):
"""
The method run a REINDEX TABLE on the table defined by schema and name.
:param schema: the table's schema
:param table: the table's name
"""
sql_reindex = sql.SQL("REINDEX TABLE {}.{} ;").format(sql.Identifier(schema), sql.Identifier(table))
self.pgsql_cur.execute(sql_reindex)
|
[
"def",
"reindex_table",
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"self",
",",
"schema",
",",
"table",
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"sql_reindex",
"=",
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"(",
"table",
")",
")",
"self",
".",
"pgsql_cur",
".",
"execute",
"(",
"sql_reindex",
")"
] |
https://github.com/the4thdoctor/pg_chameleon/blob/9d80212541559c8d0a42b3e7c1b2c67bb7606411/pg_chameleon/lib/pg_lib.py#L3508-L3515
|
||
tp4a/teleport
|
1fafd34f1f775d2cf80ea4af6e44468d8e0b24ad
|
server/www/packages/packages-linux/x64/mako/lookup.py
|
python
|
TemplateLookup._load
|
(self, filename, uri)
|
[] |
def _load(self, filename, uri):
self._mutex.acquire()
try:
try:
# try returning from collection one
# more time in case concurrent thread already loaded
return self._collection[uri]
except KeyError:
pass
try:
if self.modulename_callable is not None:
module_filename = self.modulename_callable(filename, uri)
else:
module_filename = None
self._collection[uri] = template = Template(
uri=uri,
filename=posixpath.normpath(filename),
lookup=self,
module_filename=module_filename,
**self.template_args
)
return template
except:
# if compilation fails etc, ensure
# template is removed from collection,
# re-raise
self._collection.pop(uri, None)
raise
finally:
self._mutex.release()
|
[
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"raise",
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":",
"self",
".",
"_mutex",
".",
"release",
"(",
")"
] |
https://github.com/tp4a/teleport/blob/1fafd34f1f775d2cf80ea4af6e44468d8e0b24ad/server/www/packages/packages-linux/x64/mako/lookup.py#L308-L337
|
||||
shiweibsw/Translation-Tools
|
2fbbf902364e557fa7017f9a74a8797b7440c077
|
venv/Lib/site-packages/pip-9.0.3-py3.6.egg/pip/_vendor/six.py
|
python
|
_SixMetaPathImporter._add_module
|
(self, mod, *fullnames)
|
[] |
def _add_module(self, mod, *fullnames):
for fullname in fullnames:
self.known_modules[self.name + "." + fullname] = mod
|
[
"def",
"_add_module",
"(",
"self",
",",
"mod",
",",
"*",
"fullnames",
")",
":",
"for",
"fullname",
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"fullnames",
":",
"self",
".",
"known_modules",
"[",
"self",
".",
"name",
"+",
"\".\"",
"+",
"fullname",
"]",
"=",
"mod"
] |
https://github.com/shiweibsw/Translation-Tools/blob/2fbbf902364e557fa7017f9a74a8797b7440c077/venv/Lib/site-packages/pip-9.0.3-py3.6.egg/pip/_vendor/six.py#L177-L179
|
||||
brython-dev/brython
|
9cba5fb7f43a9b52fff13e89b403e02a1dfaa5f3
|
www/src/Lib/optparse.py
|
python
|
OptionContainer.add_option
|
(self, *args, **kwargs)
|
return option
|
add_option(Option)
add_option(opt_str, ..., kwarg=val, ...)
|
add_option(Option)
add_option(opt_str, ..., kwarg=val, ...)
|
[
"add_option",
"(",
"Option",
")",
"add_option",
"(",
"opt_str",
"...",
"kwarg",
"=",
"val",
"...",
")"
] |
def add_option(self, *args, **kwargs):
"""add_option(Option)
add_option(opt_str, ..., kwarg=val, ...)
"""
if isinstance(args[0], str):
option = self.option_class(*args, **kwargs)
elif len(args) == 1 and not kwargs:
option = args[0]
if not isinstance(option, Option):
raise TypeError("not an Option instance: %r" % option)
else:
raise TypeError("invalid arguments")
self._check_conflict(option)
self.option_list.append(option)
option.container = self
for opt in option._short_opts:
self._short_opt[opt] = option
for opt in option._long_opts:
self._long_opt[opt] = option
if option.dest is not None: # option has a dest, we need a default
if option.default is not NO_DEFAULT:
self.defaults[option.dest] = option.default
elif option.dest not in self.defaults:
self.defaults[option.dest] = None
return option
|
[
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"defaults",
"[",
"option",
".",
"dest",
"]",
"=",
"None",
"return",
"option"
] |
https://github.com/brython-dev/brython/blob/9cba5fb7f43a9b52fff13e89b403e02a1dfaa5f3/www/src/Lib/optparse.py#L995-L1023
|
|
quentinhardy/msdat
|
879377410f9063c58b67f4624c082faa26169e5d
|
Cleaner.py
|
python
|
runCleaner
|
(args)
|
Clean traces and logs
|
Clean traces and logs
|
[
"Clean",
"traces",
"and",
"logs"
] |
def runCleaner (args):
'''
Clean traces and logs
'''
logging.info("Cleaning files generated by PasswordGuesser ...")
nbFileDeleted, nbFileToDelete = 0, 0
exts=[PASSWORD_EXTENSION_FILE]
pathOfMsat = os.path.dirname(os.path.abspath(__file__))
for root, dirs, files in os.walk(pathOfMsat):
for currentFile in files:
logging.debug("Processing file: {0}".format(currentFile))
for ext in exts:
if currentFile.lower().endswith(ext) :
rep = input("Do you want to delete this file (Y for yes): {0}/{1}? ".format(root, currentFile))
if rep.replace('\n','') == 'Y' :
os.remove(os.path.join(root, currentFile))
logging.info("Removing {0}/{1}".format(root, currentFile))
nbFileDeleted += 1
nbFileToDelete += 1
args['print'].goodNews("Finish: {0}/{1} file(s) deleted".format(nbFileDeleted, nbFileToDelete))
logging.info("Cleaning is finished")
|
[
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"logging",
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"info",
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"\"Cleaning files generated by PasswordGuesser ...\"",
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",",
"nbFileToDelete",
")",
")",
"logging",
".",
"info",
"(",
"\"Cleaning is finished\"",
")"
] |
https://github.com/quentinhardy/msdat/blob/879377410f9063c58b67f4624c082faa26169e5d/Cleaner.py#L4-L24
|
||
WerWolv/EdiZon_CheatsConfigsAndScripts
|
d16d36c7509c01dca770f402babd83ff2e9ae6e7
|
Scripts/lib/python3.5/optparse.py
|
python
|
OptionParser.disable_interspersed_args
|
(self)
|
Set parsing to stop on the first non-option. Use this if
you have a command processor which runs another command that
has options of its own and you want to make sure these options
don't get confused.
|
Set parsing to stop on the first non-option. Use this if
you have a command processor which runs another command that
has options of its own and you want to make sure these options
don't get confused.
|
[
"Set",
"parsing",
"to",
"stop",
"on",
"the",
"first",
"non",
"-",
"option",
".",
"Use",
"this",
"if",
"you",
"have",
"a",
"command",
"processor",
"which",
"runs",
"another",
"command",
"that",
"has",
"options",
"of",
"its",
"own",
"and",
"you",
"want",
"to",
"make",
"sure",
"these",
"options",
"don",
"t",
"get",
"confused",
"."
] |
def disable_interspersed_args(self):
"""Set parsing to stop on the first non-option. Use this if
you have a command processor which runs another command that
has options of its own and you want to make sure these options
don't get confused.
"""
self.allow_interspersed_args = False
|
[
"def",
"disable_interspersed_args",
"(",
"self",
")",
":",
"self",
".",
"allow_interspersed_args",
"=",
"False"
] |
https://github.com/WerWolv/EdiZon_CheatsConfigsAndScripts/blob/d16d36c7509c01dca770f402babd83ff2e9ae6e7/Scripts/lib/python3.5/optparse.py#L1282-L1288
|
||
wwqgtxx/wwqLyParse
|
33136508e52821babd9294fdecffbdf02d73a6fc
|
wwqLyParse/lib/fallback_lib_py352/asyncio/tasks.py
|
python
|
__sleep0
|
()
|
Skip one event loop run cycle.
This is a private helper for 'asyncio.sleep()', used
when the 'delay' is set to 0. It uses a bare 'yield'
expression (which Task.__step knows how to handle)
instead of creating a Future object.
|
Skip one event loop run cycle.
|
[
"Skip",
"one",
"event",
"loop",
"run",
"cycle",
"."
] |
def __sleep0():
"""Skip one event loop run cycle.
This is a private helper for 'asyncio.sleep()', used
when the 'delay' is set to 0. It uses a bare 'yield'
expression (which Task.__step knows how to handle)
instead of creating a Future object.
"""
yield
|
[
"def",
"__sleep0",
"(",
")",
":",
"yield"
] |
https://github.com/wwqgtxx/wwqLyParse/blob/33136508e52821babd9294fdecffbdf02d73a6fc/wwqLyParse/lib/fallback_lib_py352/asyncio/tasks.py#L540-L548
|
||
tomplus/kubernetes_asyncio
|
f028cc793e3a2c519be6a52a49fb77ff0b014c9b
|
kubernetes_asyncio/client/api/apiregistration_v1_api.py
|
python
|
ApiregistrationV1Api.delete_collection_api_service
|
(self, **kwargs)
|
return self.delete_collection_api_service_with_http_info(**kwargs)
|
delete_collection_api_service # noqa: E501
delete collection of APIService # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_collection_api_service(async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str pretty: If 'true', then the output is pretty printed.
:param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications.
:param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed
:param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything.
:param int grace_period_seconds: The duration in seconds before the object should be deleted. Value must be non-negative integer. The value zero indicates delete immediately. If this value is nil, the default grace period for the specified type will be used. Defaults to a per object value if not specified. zero means delete immediately.
:param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything.
:param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned.
:param bool orphan_dependents: Deprecated: please use the PropagationPolicy, this field will be deprecated in 1.7. Should the dependent objects be orphaned. If true/false, the \"orphan\" finalizer will be added to/removed from the object's finalizers list. Either this field or PropagationPolicy may be set, but not both.
:param str propagation_policy: Whether and how garbage collection will be performed. Either this field or OrphanDependents may be set, but not both. The default policy is decided by the existing finalizer set in the metadata.finalizers and the resource-specific default policy. Acceptable values are: 'Orphan' - orphan the dependents; 'Background' - allow the garbage collector to delete the dependents in the background; 'Foreground' - a cascading policy that deletes all dependents in the foreground.
:param str resource_version: resourceVersion sets a constraint on what resource versions a request may be served from. See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset
:param str resource_version_match: resourceVersionMatch determines how resourceVersion is applied to list calls. It is highly recommended that resourceVersionMatch be set for list calls where resourceVersion is set See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset
:param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity.
:param V1DeleteOptions body:
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: V1Status
If the method is called asynchronously,
returns the request thread.
|
delete_collection_api_service # noqa: E501
|
[
"delete_collection_api_service",
"#",
"noqa",
":",
"E501"
] |
def delete_collection_api_service(self, **kwargs): # noqa: E501
"""delete_collection_api_service # noqa: E501
delete collection of APIService # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_collection_api_service(async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str pretty: If 'true', then the output is pretty printed.
:param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications.
:param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed
:param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything.
:param int grace_period_seconds: The duration in seconds before the object should be deleted. Value must be non-negative integer. The value zero indicates delete immediately. If this value is nil, the default grace period for the specified type will be used. Defaults to a per object value if not specified. zero means delete immediately.
:param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything.
:param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned.
:param bool orphan_dependents: Deprecated: please use the PropagationPolicy, this field will be deprecated in 1.7. Should the dependent objects be orphaned. If true/false, the \"orphan\" finalizer will be added to/removed from the object's finalizers list. Either this field or PropagationPolicy may be set, but not both.
:param str propagation_policy: Whether and how garbage collection will be performed. Either this field or OrphanDependents may be set, but not both. The default policy is decided by the existing finalizer set in the metadata.finalizers and the resource-specific default policy. Acceptable values are: 'Orphan' - orphan the dependents; 'Background' - allow the garbage collector to delete the dependents in the background; 'Foreground' - a cascading policy that deletes all dependents in the foreground.
:param str resource_version: resourceVersion sets a constraint on what resource versions a request may be served from. See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset
:param str resource_version_match: resourceVersionMatch determines how resourceVersion is applied to list calls. It is highly recommended that resourceVersionMatch be set for list calls where resourceVersion is set See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset
:param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity.
:param V1DeleteOptions body:
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: V1Status
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.delete_collection_api_service_with_http_info(**kwargs)
|
[
"def",
"delete_collection_api_service",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"# noqa: E501",
"kwargs",
"[",
"'_return_http_data_only'",
"]",
"=",
"True",
"return",
"self",
".",
"delete_collection_api_service_with_http_info",
"(",
"*",
"*",
"kwargs",
")"
] |
https://github.com/tomplus/kubernetes_asyncio/blob/f028cc793e3a2c519be6a52a49fb77ff0b014c9b/kubernetes_asyncio/client/api/apiregistration_v1_api.py#L312-L347
|
|
AstroPrint/AstroBox
|
e7e3b8a7d33ea85fcb6b2696869c0d719ceb8b75
|
src/astroprint/printer/marlin/__init__.py
|
python
|
PrinterMarlin.isConnected
|
(self)
|
return (bool) (self._comm and self._comm.isOperational())
|
[] |
def isConnected(self):
return (bool) (self._comm and self._comm.isOperational())
|
[
"def",
"isConnected",
"(",
"self",
")",
":",
"return",
"(",
"bool",
")",
"(",
"self",
".",
"_comm",
"and",
"self",
".",
"_comm",
".",
"isOperational",
"(",
")",
")"
] |
https://github.com/AstroPrint/AstroBox/blob/e7e3b8a7d33ea85fcb6b2696869c0d719ceb8b75/src/astroprint/printer/marlin/__init__.py#L657-L658
|
|||
sagemath/sage
|
f9b2db94f675ff16963ccdefba4f1a3393b3fe0d
|
src/sage/databases/cremona.py
|
python
|
LargeCremonaDatabase.degphi
|
(self, N)
|
return ret
|
Return the degphi table for conductor N.
INPUT:
- ``N`` - int, the conductor
OUTPUT:
- ``dict`` - id:degphi, ...
EXAMPLES::
sage: c = CremonaDatabase()
sage: c.degphi(11) # optional - database_cremona_ellcurve
{'a1': 1}
sage: c.degphi(12001)['c1'] # optional - database_cremona_ellcurve
1640
|
Return the degphi table for conductor N.
|
[
"Return",
"the",
"degphi",
"table",
"for",
"conductor",
"N",
"."
] |
def degphi(self, N):
"""
Return the degphi table for conductor N.
INPUT:
- ``N`` - int, the conductor
OUTPUT:
- ``dict`` - id:degphi, ...
EXAMPLES::
sage: c = CremonaDatabase()
sage: c.degphi(11) # optional - database_cremona_ellcurve
{'a1': 1}
sage: c.degphi(12001)['c1'] # optional - database_cremona_ellcurve
1640
"""
ret = {}
for c in self.__connection__.cursor().execute('SELECT curve,deg FROM'
+ ' t_curve,t_class USING(class) WHERE curve=class||1 AND '
+ 'conductor=?', (int(N),)):
N,iso,num = parse_cremona_label(c[0])
ret[iso+str(num)] = c[1]
return ret
|
[
"def",
"degphi",
"(",
"self",
",",
"N",
")",
":",
"ret",
"=",
"{",
"}",
"for",
"c",
"in",
"self",
".",
"__connection__",
".",
"cursor",
"(",
")",
".",
"execute",
"(",
"'SELECT curve,deg FROM'",
"+",
"' t_curve,t_class USING(class) WHERE curve=class||1 AND '",
"+",
"'conductor=?'",
",",
"(",
"int",
"(",
"N",
")",
",",
")",
")",
":",
"N",
",",
"iso",
",",
"num",
"=",
"parse_cremona_label",
"(",
"c",
"[",
"0",
"]",
")",
"ret",
"[",
"iso",
"+",
"str",
"(",
"num",
")",
"]",
"=",
"c",
"[",
"1",
"]",
"return",
"ret"
] |
https://github.com/sagemath/sage/blob/f9b2db94f675ff16963ccdefba4f1a3393b3fe0d/src/sage/databases/cremona.py#L1538-L1564
|
|
CvvT/dumpDex
|
92ab3b7e996194a06bf1dd5538a4954e8a5ee9c1
|
python/idaapi.py
|
python
|
cdo_t.__init__
|
(self, *args)
|
__init__(self) -> cdo_t
|
__init__(self) -> cdo_t
|
[
"__init__",
"(",
"self",
")",
"-",
">",
"cdo_t"
] |
def __init__(self, *args):
"""
__init__(self) -> cdo_t
"""
this = _idaapi.new_cdo_t(*args)
try: self.this.append(this)
except: self.this = this
|
[
"def",
"__init__",
"(",
"self",
",",
"*",
"args",
")",
":",
"this",
"=",
"_idaapi",
".",
"new_cdo_t",
"(",
"*",
"args",
")",
"try",
":",
"self",
".",
"this",
".",
"append",
"(",
"this",
")",
"except",
":",
"self",
".",
"this",
"=",
"this"
] |
https://github.com/CvvT/dumpDex/blob/92ab3b7e996194a06bf1dd5538a4954e8a5ee9c1/python/idaapi.py#L38042-L38048
|
||
zhl2008/awd-platform
|
0416b31abea29743387b10b3914581fbe8e7da5e
|
web_flaskbb/Python-2.7.9/Tools/iobench/iobench.py
|
python
|
with_open_mode
|
(mode)
|
return decorate
|
[] |
def with_open_mode(mode):
def decorate(f):
f.file_open_mode = mode
return f
return decorate
|
[
"def",
"with_open_mode",
"(",
"mode",
")",
":",
"def",
"decorate",
"(",
"f",
")",
":",
"f",
".",
"file_open_mode",
"=",
"mode",
"return",
"f",
"return",
"decorate"
] |
https://github.com/zhl2008/awd-platform/blob/0416b31abea29743387b10b3914581fbe8e7da5e/web_flaskbb/Python-2.7.9/Tools/iobench/iobench.py#L43-L47
|
|||
ladybug-tools/butterfly
|
c8fc0bbe317bb41bfe5f28305782a82347b8c776
|
butterfly/vectormath.py
|
python
|
determinant
|
(v, w)
|
return v[0] * w[1] - v[1] * w[0]
|
determinant.
|
determinant.
|
[
"determinant",
"."
] |
def determinant(v, w):
"""determinant."""
return v[0] * w[1] - v[1] * w[0]
|
[
"def",
"determinant",
"(",
"v",
",",
"w",
")",
":",
"return",
"v",
"[",
"0",
"]",
"*",
"w",
"[",
"1",
"]",
"-",
"v",
"[",
"1",
"]",
"*",
"w",
"[",
"0",
"]"
] |
https://github.com/ladybug-tools/butterfly/blob/c8fc0bbe317bb41bfe5f28305782a82347b8c776/butterfly/vectormath.py#L25-L27
|
|
openstack/python-keystoneclient
|
100253d52e0c62dffffddb6f046ad660a9bce1a9
|
keystoneclient/common/cms.py
|
python
|
set_subprocess
|
(_subprocess=None)
|
Set subprocess module to use.
The subprocess could be eventlet.green.subprocess if using eventlet,
or Python's subprocess otherwise.
|
Set subprocess module to use.
|
[
"Set",
"subprocess",
"module",
"to",
"use",
"."
] |
def set_subprocess(_subprocess=None):
"""Set subprocess module to use.
The subprocess could be eventlet.green.subprocess if using eventlet,
or Python's subprocess otherwise.
"""
global subprocess
subprocess = _subprocess
|
[
"def",
"set_subprocess",
"(",
"_subprocess",
"=",
"None",
")",
":",
"global",
"subprocess",
"subprocess",
"=",
"_subprocess"
] |
https://github.com/openstack/python-keystoneclient/blob/100253d52e0c62dffffddb6f046ad660a9bce1a9/keystoneclient/common/cms.py#L76-L83
|
||
SCSSoftware/BlenderTools
|
96f323d3bdf2d8cb8ed7f882dcdf036277a802dd
|
addon/io_scs_tools/internals/shaders/eut2/truckpaint/colormask.py
|
python
|
TruckpaintColormask.init
|
(node_tree)
|
Initialize node tree with links for this shader.
:param node_tree: node tree on which this shader should be created
:type node_tree: bpy.types.NodeTree
|
Initialize node tree with links for this shader.
|
[
"Initialize",
"node",
"tree",
"with",
"links",
"for",
"this",
"shader",
"."
] |
def init(node_tree):
"""Initialize node tree with links for this shader.
:param node_tree: node tree on which this shader should be created
:type node_tree: bpy.types.NodeTree
"""
# init parent
Truckpaint.init(node_tree)
Truckpaint.init_colormask_or_airbrush(node_tree)
blend_mix_n = node_tree.nodes[Truckpaint.BLEND_MIX_NODE]
blend_mix_n.inputs['Fac'].default_value = 1.0
paint_diff_mult_n = node_tree.nodes[Truckpaint.PAINT_DIFFUSE_MULT_NODE]
paint_diff_mult_n.inputs['Fac'].default_value = 1.0
paint_spec_mult_n = node_tree.nodes[Truckpaint.PAINT_SPECULAR_MULT_NODE]
paint_spec_mult_n.inputs['Fac'].default_value = 1.0
|
[
"def",
"init",
"(",
"node_tree",
")",
":",
"# init parent",
"Truckpaint",
".",
"init",
"(",
"node_tree",
")",
"Truckpaint",
".",
"init_colormask_or_airbrush",
"(",
"node_tree",
")",
"blend_mix_n",
"=",
"node_tree",
".",
"nodes",
"[",
"Truckpaint",
".",
"BLEND_MIX_NODE",
"]",
"blend_mix_n",
".",
"inputs",
"[",
"'Fac'",
"]",
".",
"default_value",
"=",
"1.0",
"paint_diff_mult_n",
"=",
"node_tree",
".",
"nodes",
"[",
"Truckpaint",
".",
"PAINT_DIFFUSE_MULT_NODE",
"]",
"paint_diff_mult_n",
".",
"inputs",
"[",
"'Fac'",
"]",
".",
"default_value",
"=",
"1.0",
"paint_spec_mult_n",
"=",
"node_tree",
".",
"nodes",
"[",
"Truckpaint",
".",
"PAINT_SPECULAR_MULT_NODE",
"]",
"paint_spec_mult_n",
".",
"inputs",
"[",
"'Fac'",
"]",
".",
"default_value",
"=",
"1.0"
] |
https://github.com/SCSSoftware/BlenderTools/blob/96f323d3bdf2d8cb8ed7f882dcdf036277a802dd/addon/io_scs_tools/internals/shaders/eut2/truckpaint/colormask.py#L31-L49
|
||
deanishe/alfred-fakeum
|
12a7e64d9c099c0f11416ee99fae064d6360aab2
|
src/libs/dateutil/parser/_parser.py
|
python
|
_timelex.isword
|
(cls, nextchar)
|
return nextchar.isalpha()
|
Whether or not the next character is part of a word
|
Whether or not the next character is part of a word
|
[
"Whether",
"or",
"not",
"the",
"next",
"character",
"is",
"part",
"of",
"a",
"word"
] |
def isword(cls, nextchar):
""" Whether or not the next character is part of a word """
return nextchar.isalpha()
|
[
"def",
"isword",
"(",
"cls",
",",
"nextchar",
")",
":",
"return",
"nextchar",
".",
"isalpha",
"(",
")"
] |
https://github.com/deanishe/alfred-fakeum/blob/12a7e64d9c099c0f11416ee99fae064d6360aab2/src/libs/dateutil/parser/_parser.py#L210-L212
|
|
AppScale/gts
|
46f909cf5dc5ba81faf9d81dc9af598dcf8a82a9
|
AppServer/google/appengine/ext/mapreduce/api/map_job/map_job_config.py
|
python
|
JobConfig._get_default_mr_params
|
(cls)
|
return mr_params
|
Gets default values for old API.
|
Gets default values for old API.
|
[
"Gets",
"default",
"values",
"for",
"old",
"API",
"."
] |
def _get_default_mr_params(cls):
"""Gets default values for old API."""
cfg = cls(_lenient=True)
mr_params = cfg._get_mr_params()
mr_params["api_version"] = 0
return mr_params
|
[
"def",
"_get_default_mr_params",
"(",
"cls",
")",
":",
"cfg",
"=",
"cls",
"(",
"_lenient",
"=",
"True",
")",
"mr_params",
"=",
"cfg",
".",
"_get_mr_params",
"(",
")",
"mr_params",
"[",
"\"api_version\"",
"]",
"=",
"0",
"return",
"mr_params"
] |
https://github.com/AppScale/gts/blob/46f909cf5dc5ba81faf9d81dc9af598dcf8a82a9/AppServer/google/appengine/ext/mapreduce/api/map_job/map_job_config.py#L156-L161
|
|
hacktoolkit/django-htk
|
902f3780630f1308aa97a70b9b62a5682239ff2d
|
apps/accounts/models.py
|
python
|
BaseAbstractUserProfile.get_nonprimary_emails
|
(self)
|
return user_emails
|
Returns a list of UserEmail objects associated with `self.user`, besides the primary email
We can just get primary email from self.get_primary_email()
|
Returns a list of UserEmail objects associated with `self.user`, besides the primary email
We can just get primary email from self.get_primary_email()
|
[
"Returns",
"a",
"list",
"of",
"UserEmail",
"objects",
"associated",
"with",
"self",
".",
"user",
"besides",
"the",
"primary",
"email",
"We",
"can",
"just",
"get",
"primary",
"email",
"from",
"self",
".",
"get_primary_email",
"()"
] |
def get_nonprimary_emails(self):
"""Returns a list of UserEmail objects associated with `self.user`, besides the primary email
We can just get primary email from self.get_primary_email()
"""
# TODO: cache this
primary_email = self.get_primary_email()
if primary_email:
user_emails = self.user.emails.exclude(email=primary_email).order_by('-is_confirmed', 'id')
else:
user_emails = self.user.emails.order_by('-is_confirmed', 'id')
return user_emails
|
[
"def",
"get_nonprimary_emails",
"(",
"self",
")",
":",
"# TODO: cache this",
"primary_email",
"=",
"self",
".",
"get_primary_email",
"(",
")",
"if",
"primary_email",
":",
"user_emails",
"=",
"self",
".",
"user",
".",
"emails",
".",
"exclude",
"(",
"email",
"=",
"primary_email",
")",
".",
"order_by",
"(",
"'-is_confirmed'",
",",
"'id'",
")",
"else",
":",
"user_emails",
"=",
"self",
".",
"user",
".",
"emails",
".",
"order_by",
"(",
"'-is_confirmed'",
",",
"'id'",
")",
"return",
"user_emails"
] |
https://github.com/hacktoolkit/django-htk/blob/902f3780630f1308aa97a70b9b62a5682239ff2d/apps/accounts/models.py#L216-L226
|
|
schodet/nxt-python
|
b434303f098d13677bceb664810f03e8c5057c82
|
nxt/brick.py
|
python
|
Brick.reset_motor_position
|
(self, port, relative)
|
Reset block or program motor position for a brick output port.
:param nxt.motor.Port port: Output port identifier.
:param bool relative: If ``True``, reset block position, if ``False``, reset
program position.
.. warning:: This is a low level function, prefer to use
:meth:`nxt.motor.Motor`, you can get one from :meth:`get_motor`.
|
Reset block or program motor position for a brick output port.
|
[
"Reset",
"block",
"or",
"program",
"motor",
"position",
"for",
"a",
"brick",
"output",
"port",
"."
] |
def reset_motor_position(self, port, relative):
"""Reset block or program motor position for a brick output port.
:param nxt.motor.Port port: Output port identifier.
:param bool relative: If ``True``, reset block position, if ``False``, reset
program position.
.. warning:: This is a low level function, prefer to use
:meth:`nxt.motor.Motor`, you can get one from :meth:`get_motor`.
"""
tgram = Telegram(Opcode.DIRECT_RESET_POSITION)
tgram.add_u8(port.value)
tgram.add_bool(relative)
self._cmd(tgram)
|
[
"def",
"reset_motor_position",
"(",
"self",
",",
"port",
",",
"relative",
")",
":",
"tgram",
"=",
"Telegram",
"(",
"Opcode",
".",
"DIRECT_RESET_POSITION",
")",
"tgram",
".",
"add_u8",
"(",
"port",
".",
"value",
")",
"tgram",
".",
"add_bool",
"(",
"relative",
")",
"self",
".",
"_cmd",
"(",
"tgram",
")"
] |
https://github.com/schodet/nxt-python/blob/b434303f098d13677bceb664810f03e8c5057c82/nxt/brick.py#L552-L565
|
||
biolab/orange3
|
41685e1c7b1d1babe680113685a2d44bcc9fec0b
|
Orange/base.py
|
python
|
SklLearner._initialize_wrapped
|
(self)
|
return self.__wraps__(**self.params)
|
[] |
def _initialize_wrapped(self):
# pylint: disable=not-callable
return self.__wraps__(**self.params)
|
[
"def",
"_initialize_wrapped",
"(",
"self",
")",
":",
"# pylint: disable=not-callable",
"return",
"self",
".",
"__wraps__",
"(",
"*",
"*",
"self",
".",
"params",
")"
] |
https://github.com/biolab/orange3/blob/41685e1c7b1d1babe680113685a2d44bcc9fec0b/Orange/base.py#L577-L579
|
|||
compas-dev/compas
|
0b33f8786481f710115fb1ae5fe79abc2a9a5175
|
src/compas_rhino/utilities/drawing.py
|
python
|
wrap_drawfunc
|
(f)
|
return wrapper
|
Wraps all ``draw_`` functions with support for recurring keyword arguments.
|
Wraps all ``draw_`` functions with support for recurring keyword arguments.
|
[
"Wraps",
"all",
"draw_",
"functions",
"with",
"support",
"for",
"recurring",
"keyword",
"arguments",
"."
] |
def wrap_drawfunc(f):
"""Wraps all ``draw_`` functions with support for recurring keyword arguments."""
@wraps(f)
def wrapper(*args, **kwargs):
layer = kwargs.get('layer', None)
clear = kwargs.get('clear', False)
redraw = kwargs.get('redraw', False)
if layer:
if not rs.IsLayer(layer):
create_layers_from_path(layer)
previous = rs.CurrentLayer(layer)
if clear:
if not layer:
clear_current_layer()
else:
clear_layer(layer)
rs.EnableRedraw(False)
res = f(*args, **kwargs)
if redraw:
rs.EnableRedraw(True)
if layer:
rs.CurrentLayer(previous)
return res
return wrapper
|
[
"def",
"wrap_drawfunc",
"(",
"f",
")",
":",
"@",
"wraps",
"(",
"f",
")",
"def",
"wrapper",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"layer",
"=",
"kwargs",
".",
"get",
"(",
"'layer'",
",",
"None",
")",
"clear",
"=",
"kwargs",
".",
"get",
"(",
"'clear'",
",",
"False",
")",
"redraw",
"=",
"kwargs",
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"get",
"(",
"'redraw'",
",",
"False",
")",
"if",
"layer",
":",
"if",
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"rs",
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"IsLayer",
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"layer",
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":",
"create_layers_from_path",
"(",
"layer",
")",
"previous",
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"rs",
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"CurrentLayer",
"(",
"layer",
")",
"if",
"clear",
":",
"if",
"not",
"layer",
":",
"clear_current_layer",
"(",
")",
"else",
":",
"clear_layer",
"(",
"layer",
")",
"rs",
".",
"EnableRedraw",
"(",
"False",
")",
"res",
"=",
"f",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
"if",
"redraw",
":",
"rs",
".",
"EnableRedraw",
"(",
"True",
")",
"if",
"layer",
":",
"rs",
".",
"CurrentLayer",
"(",
"previous",
")",
"return",
"res",
"return",
"wrapper"
] |
https://github.com/compas-dev/compas/blob/0b33f8786481f710115fb1ae5fe79abc2a9a5175/src/compas_rhino/utilities/drawing.py#L86-L109
|
|
ClusterHQ/flocker
|
eaa586248986d7cd681c99c948546c2b507e44de
|
flocker/provision/_ssh/_model.py
|
python
|
run_remotely
|
(
username, address, commands, port=22, log_command_filter=identity)
|
return Effect(RunRemotely(
username=username, address=address, commands=commands, port=port,
log_command_filter=log_command_filter))
|
Run some commands on a remote host.
:param bytes address: The address of the remote host to connect to.
:param bytes username: The user to connect as.
:param Effect commands: The commands to run.
:param int port: The port of the ssh server to connect to.
:param callable log_command_filter: A filter to apply to any logging
of the executed command.
:return Effect:
|
Run some commands on a remote host.
|
[
"Run",
"some",
"commands",
"on",
"a",
"remote",
"host",
"."
] |
def run_remotely(
username, address, commands, port=22, log_command_filter=identity):
"""
Run some commands on a remote host.
:param bytes address: The address of the remote host to connect to.
:param bytes username: The user to connect as.
:param Effect commands: The commands to run.
:param int port: The port of the ssh server to connect to.
:param callable log_command_filter: A filter to apply to any logging
of the executed command.
:return Effect:
"""
return Effect(RunRemotely(
username=username, address=address, commands=commands, port=port,
log_command_filter=log_command_filter))
|
[
"def",
"run_remotely",
"(",
"username",
",",
"address",
",",
"commands",
",",
"port",
"=",
"22",
",",
"log_command_filter",
"=",
"identity",
")",
":",
"return",
"Effect",
"(",
"RunRemotely",
"(",
"username",
"=",
"username",
",",
"address",
"=",
"address",
",",
"commands",
"=",
"commands",
",",
"port",
"=",
"port",
",",
"log_command_filter",
"=",
"log_command_filter",
")",
")"
] |
https://github.com/ClusterHQ/flocker/blob/eaa586248986d7cd681c99c948546c2b507e44de/flocker/provision/_ssh/_model.py#L37-L53
|
|
gwpy/gwpy
|
82becd78d166a32985cb657a54d0d39f6a207739
|
gwpy/plot/plot.py
|
python
|
Plot.get_axes
|
(self, projection=None)
|
return [ax for ax in self.axes if ax.name == projection.lower()]
|
Find all `Axes`, optionally matching the given projection
Parameters
----------
projection : `str`
name of axes types to return
Returns
-------
axlist : `list` of `~matplotlib.axes.Axes`
|
Find all `Axes`, optionally matching the given projection
|
[
"Find",
"all",
"Axes",
"optionally",
"matching",
"the",
"given",
"projection"
] |
def get_axes(self, projection=None):
"""Find all `Axes`, optionally matching the given projection
Parameters
----------
projection : `str`
name of axes types to return
Returns
-------
axlist : `list` of `~matplotlib.axes.Axes`
"""
if projection is None:
return self.axes
return [ax for ax in self.axes if ax.name == projection.lower()]
|
[
"def",
"get_axes",
"(",
"self",
",",
"projection",
"=",
"None",
")",
":",
"if",
"projection",
"is",
"None",
":",
"return",
"self",
".",
"axes",
"return",
"[",
"ax",
"for",
"ax",
"in",
"self",
".",
"axes",
"if",
"ax",
".",
"name",
"==",
"projection",
".",
"lower",
"(",
")",
"]"
] |
https://github.com/gwpy/gwpy/blob/82becd78d166a32985cb657a54d0d39f6a207739/gwpy/plot/plot.py#L313-L327
|
|
dimagi/commcare-hq
|
d67ff1d3b4c51fa050c19e60c3253a79d3452a39
|
corehq/ex-submodules/casexml/apps/case/models.py
|
python
|
CommCareCase.get_version_token
|
(self)
|
return "%s::%s" % (self.case_id, self.modified_on)
|
A unique token for this version.
|
A unique token for this version.
|
[
"A",
"unique",
"token",
"for",
"this",
"version",
"."
] |
def get_version_token(self):
"""
A unique token for this version.
"""
# in theory since case ids are unique and modification dates get updated
# upon any change, this is all we need
return "%s::%s" % (self.case_id, self.modified_on)
|
[
"def",
"get_version_token",
"(",
"self",
")",
":",
"# in theory since case ids are unique and modification dates get updated",
"# upon any change, this is all we need",
"return",
"\"%s::%s\"",
"%",
"(",
"self",
".",
"case_id",
",",
"self",
".",
"modified_on",
")"
] |
https://github.com/dimagi/commcare-hq/blob/d67ff1d3b4c51fa050c19e60c3253a79d3452a39/corehq/ex-submodules/casexml/apps/case/models.py#L353-L359
|
|
tomplus/kubernetes_asyncio
|
f028cc793e3a2c519be6a52a49fb77ff0b014c9b
|
kubernetes_asyncio/client/models/core_v1_event_list.py
|
python
|
CoreV1EventList.__init__
|
(self, api_version=None, items=None, kind=None, metadata=None, local_vars_configuration=None)
|
CoreV1EventList - a model defined in OpenAPI
|
CoreV1EventList - a model defined in OpenAPI
|
[
"CoreV1EventList",
"-",
"a",
"model",
"defined",
"in",
"OpenAPI"
] |
def __init__(self, api_version=None, items=None, kind=None, metadata=None, local_vars_configuration=None): # noqa: E501
"""CoreV1EventList - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._api_version = None
self._items = None
self._kind = None
self._metadata = None
self.discriminator = None
if api_version is not None:
self.api_version = api_version
self.items = items
if kind is not None:
self.kind = kind
if metadata is not None:
self.metadata = metadata
|
[
"def",
"__init__",
"(",
"self",
",",
"api_version",
"=",
"None",
",",
"items",
"=",
"None",
",",
"kind",
"=",
"None",
",",
"metadata",
"=",
"None",
",",
"local_vars_configuration",
"=",
"None",
")",
":",
"# noqa: E501",
"# noqa: E501",
"if",
"local_vars_configuration",
"is",
"None",
":",
"local_vars_configuration",
"=",
"Configuration",
"(",
")",
"self",
".",
"local_vars_configuration",
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"local_vars_configuration",
"self",
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"_api_version",
"=",
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"None",
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"items",
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"None",
":",
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"kind",
"=",
"kind",
"if",
"metadata",
"is",
"not",
"None",
":",
"self",
".",
"metadata",
"=",
"metadata"
] |
https://github.com/tomplus/kubernetes_asyncio/blob/f028cc793e3a2c519be6a52a49fb77ff0b014c9b/kubernetes_asyncio/client/models/core_v1_event_list.py#L49-L67
|
||
pdfminer/pdfminer.six
|
10f6fb40c258c86fd04d86bade20f69fb07faabd
|
pdfminer/utils.py
|
python
|
drange
|
(v0: float, v1: float, d: int)
|
return range(int(v0) // d, int(v1 + d) // d)
|
Returns a discrete range.
|
Returns a discrete range.
|
[
"Returns",
"a",
"discrete",
"range",
"."
] |
def drange(v0: float, v1: float, d: int) -> range:
"""Returns a discrete range."""
return range(int(v0) // d, int(v1 + d) // d)
|
[
"def",
"drange",
"(",
"v0",
":",
"float",
",",
"v1",
":",
"float",
",",
"d",
":",
"int",
")",
"->",
"range",
":",
"return",
"range",
"(",
"int",
"(",
"v0",
")",
"//",
"d",
",",
"int",
"(",
"v1",
"+",
"d",
")",
"//",
"d",
")"
] |
https://github.com/pdfminer/pdfminer.six/blob/10f6fb40c258c86fd04d86bade20f69fb07faabd/pdfminer/utils.py#L300-L302
|
|
ilastik/ilastik
|
6acd2c554bc517e9c8ddad3623a7aaa2e6970c28
|
ilastik/applets/dataExport/dataExportGui.py
|
python
|
DataExportGui.exportAsync
|
(self, laneViewList)
|
Export data from lanes in a separate thread.
See Also:
:meth:`exportSync`.
|
Export data from lanes in a separate thread.
|
[
"Export",
"data",
"from",
"lanes",
"in",
"a",
"separate",
"thread",
"."
] |
def exportAsync(self, laneViewList) -> None:
"""Export data from lanes in a separate thread.
See Also:
:meth:`exportSync`.
"""
threading.Thread(target=self.exportSync, name="DataExportThread", args=(laneViewList,)).start()
|
[
"def",
"exportAsync",
"(",
"self",
",",
"laneViewList",
")",
"->",
"None",
":",
"threading",
".",
"Thread",
"(",
"target",
"=",
"self",
".",
"exportSync",
",",
"name",
"=",
"\"DataExportThread\"",
",",
"args",
"=",
"(",
"laneViewList",
",",
")",
")",
".",
"start",
"(",
")"
] |
https://github.com/ilastik/ilastik/blob/6acd2c554bc517e9c8ddad3623a7aaa2e6970c28/ilastik/applets/dataExport/dataExportGui.py#L460-L466
|
||
christabor/flask_jsondash
|
c8984790722327e86694e15409ff4dea0621aab0
|
example_app/endpoints.py
|
python
|
flamegraph
|
()
|
return jsonify({})
|
Fake endpoint.
|
Fake endpoint.
|
[
"Fake",
"endpoint",
"."
] |
def flamegraph():
"""Fake endpoint."""
chart_name = request.args.get('name', 'stacks')
filename = '{}/examples/flamegraph/{}.json'.format(cwd, chart_name)
try:
with open(filename, 'r') as chartjson:
return chartjson.read()
except IOError:
pass
return jsonify({})
|
[
"def",
"flamegraph",
"(",
")",
":",
"chart_name",
"=",
"request",
".",
"args",
".",
"get",
"(",
"'name'",
",",
"'stacks'",
")",
"filename",
"=",
"'{}/examples/flamegraph/{}.json'",
".",
"format",
"(",
"cwd",
",",
"chart_name",
")",
"try",
":",
"with",
"open",
"(",
"filename",
",",
"'r'",
")",
"as",
"chartjson",
":",
"return",
"chartjson",
".",
"read",
"(",
")",
"except",
"IOError",
":",
"pass",
"return",
"jsonify",
"(",
"{",
"}",
")"
] |
https://github.com/christabor/flask_jsondash/blob/c8984790722327e86694e15409ff4dea0621aab0/example_app/endpoints.py#L284-L293
|
|
jesse-ai/jesse
|
28759547138fbc76dff12741204833e39c93b083
|
jesse/indicators/marketfi.py
|
python
|
marketfi
|
(candles: np.ndarray, sequential: bool = False)
|
return same_length(candles, res) if sequential else res[-1]
|
MARKETFI - Market Facilitation Index
:param candles: np.ndarray
:param sequential: bool - default: False
:return: float | np.ndarray
|
MARKETFI - Market Facilitation Index
|
[
"MARKETFI",
"-",
"Market",
"Facilitation",
"Index"
] |
def marketfi(candles: np.ndarray, sequential: bool = False) -> Union[float, np.ndarray]:
"""
MARKETFI - Market Facilitation Index
:param candles: np.ndarray
:param sequential: bool - default: False
:return: float | np.ndarray
"""
candles = slice_candles(candles, sequential)
res = ti.marketfi(np.ascontiguousarray(candles[:, 3]), np.ascontiguousarray(candles[:, 4]),
np.ascontiguousarray(candles[:, 5]))
return same_length(candles, res) if sequential else res[-1]
|
[
"def",
"marketfi",
"(",
"candles",
":",
"np",
".",
"ndarray",
",",
"sequential",
":",
"bool",
"=",
"False",
")",
"->",
"Union",
"[",
"float",
",",
"np",
".",
"ndarray",
"]",
":",
"candles",
"=",
"slice_candles",
"(",
"candles",
",",
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")",
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"candles",
"[",
":",
",",
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")",
",",
"np",
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"ascontiguousarray",
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"[",
":",
",",
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"]",
")",
",",
"np",
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"ascontiguousarray",
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"candles",
"[",
":",
",",
"5",
"]",
")",
")",
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"same_length",
"(",
"candles",
",",
"res",
")",
"if",
"sequential",
"else",
"res",
"[",
"-",
"1",
"]"
] |
https://github.com/jesse-ai/jesse/blob/28759547138fbc76dff12741204833e39c93b083/jesse/indicators/marketfi.py#L10-L24
|
|
IDArlingTeam/IDArling
|
d15b9b7c8bdeb992c569efcc49adf7642bb82cdf
|
idarling/shared/packets.py
|
python
|
Event.build_event
|
(self, dct)
|
Build the event into a dictionary.
|
Build the event into a dictionary.
|
[
"Build",
"the",
"event",
"into",
"a",
"dictionary",
"."
] |
def build_event(self, dct):
"""Build the event into a dictionary."""
pass
|
[
"def",
"build_event",
"(",
"self",
",",
"dct",
")",
":",
"pass"
] |
https://github.com/IDArlingTeam/IDArling/blob/d15b9b7c8bdeb992c569efcc49adf7642bb82cdf/idarling/shared/packets.py#L298-L300
|
||
TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
|
5bb97d7e3ffd913abddb4cfa7d78a1b4c868890e
|
tensorflow_dl_models/research/slim/nets/nasnet/nasnet.py
|
python
|
_cifar_stem
|
(inputs, hparams)
|
return net, [None, net]
|
Stem used for models trained on Cifar.
|
Stem used for models trained on Cifar.
|
[
"Stem",
"used",
"for",
"models",
"trained",
"on",
"Cifar",
"."
] |
def _cifar_stem(inputs, hparams):
"""Stem used for models trained on Cifar."""
num_stem_filters = int(hparams.num_conv_filters * hparams.stem_multiplier)
net = slim.conv2d(
inputs,
num_stem_filters,
3,
scope='l1_stem_3x3')
net = slim.batch_norm(net, scope='l1_stem_bn')
return net, [None, net]
|
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https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials/blob/5bb97d7e3ffd913abddb4cfa7d78a1b4c868890e/tensorflow_dl_models/research/slim/nets/nasnet/nasnet.py#L270-L279
|
|
tendenci/tendenci
|
0f2c348cc0e7d41bc56f50b00ce05544b083bf1d
|
tendenci/apps/help_files/models.py
|
python
|
Topic.get_absolute_url
|
(self)
|
return reverse('help_files.topic', args=[self.pk])
|
[] |
def get_absolute_url(self):
return reverse('help_files.topic', args=[self.pk])
|
[
"def",
"get_absolute_url",
"(",
"self",
")",
":",
"return",
"reverse",
"(",
"'help_files.topic'",
",",
"args",
"=",
"[",
"self",
".",
"pk",
"]",
")"
] |
https://github.com/tendenci/tendenci/blob/0f2c348cc0e7d41bc56f50b00ce05544b083bf1d/tendenci/apps/help_files/models.py#L23-L24
|
|||
largelymfs/topical_word_embeddings
|
1ae3d15d0afcd3fcd39cc81eec4ad9463413a9f6
|
TWE-2/gensim/parsing/porter.py
|
python
|
PorterStemmer._step1ab
|
(self)
|
Get rid of plurals and -ed or -ing. E.g.,
caresses -> caress
ponies -> poni
ties -> ti
caress -> caress
cats -> cat
feed -> feed
agreed -> agree
disabled -> disable
matting -> mat
mating -> mate
meeting -> meet
milling -> mill
messing -> mess
meetings -> meet
|
Get rid of plurals and -ed or -ing. E.g.,
|
[
"Get",
"rid",
"of",
"plurals",
"and",
"-",
"ed",
"or",
"-",
"ing",
".",
"E",
".",
"g",
"."
] |
def _step1ab(self):
"""Get rid of plurals and -ed or -ing. E.g.,
caresses -> caress
ponies -> poni
ties -> ti
caress -> caress
cats -> cat
feed -> feed
agreed -> agree
disabled -> disable
matting -> mat
mating -> mate
meeting -> meet
milling -> mill
messing -> mess
meetings -> meet
"""
if self.b[self.k] == 's':
if self._ends("sses"):
self.k -= 2
elif self._ends("ies"):
self._setto("i")
elif self.b[self.k - 1] != 's':
self.k -= 1
if self._ends("eed"):
if self._m() > 0:
self.k -= 1
elif (self._ends("ed") or self._ends("ing")) and self._vowelinstem():
self.k = self.j
if self._ends("at"): self._setto("ate")
elif self._ends("bl"): self._setto("ble")
elif self._ends("iz"): self._setto("ize")
elif self._doublec(self.k):
if self.b[self.k - 1] not in "lsz":
self.k -= 1
elif self._m() == 1 and self._cvc(self.k):
self._setto("e")
|
[
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")",
":",
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".",
"_setto",
"(",
"\"e\"",
")"
] |
https://github.com/largelymfs/topical_word_embeddings/blob/1ae3d15d0afcd3fcd39cc81eec4ad9463413a9f6/TWE-2/gensim/parsing/porter.py#L141-L181
|
||
benoitc/couchdbkit
|
6be148640c00b54ee87a2f2d502e9d67fa5b45a8
|
couchdbkit/schema/properties.py
|
python
|
dict_to_json
|
(value, item_type=None)
|
return dict([(k, value_to_json(v, item_type=item_type)) for k, v in value.iteritems()])
|
convert a dict to json
|
convert a dict to json
|
[
"convert",
"a",
"dict",
"to",
"json"
] |
def dict_to_json(value, item_type=None):
""" convert a dict to json """
return dict([(k, value_to_json(v, item_type=item_type)) for k, v in value.iteritems()])
|
[
"def",
"dict_to_json",
"(",
"value",
",",
"item_type",
"=",
"None",
")",
":",
"return",
"dict",
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"k",
",",
"value_to_json",
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")",
"for",
"k",
",",
"v",
"in",
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".",
"iteritems",
"(",
")",
"]",
")"
] |
https://github.com/benoitc/couchdbkit/blob/6be148640c00b54ee87a2f2d502e9d67fa5b45a8/couchdbkit/schema/properties.py#L1011-L1013
|
|
NanYoMy/DHT-woodworm
|
e28bbff214bc3c41ea462854256dd499fb8a6eb0
|
btdht/btdht.py
|
python
|
DHTRequestHandler.handle_response
|
(self, message)
|
here we do not annouce a peer, so we needn't implement the code for a "announce peer" message
|
here we do not annouce a peer, so we needn't implement the code for a "announce peer" message
|
[
"here",
"we",
"do",
"not",
"annouce",
"a",
"peer",
"so",
"we",
"needn",
"t",
"implement",
"the",
"code",
"for",
"a",
"announce",
"peer",
"message"
] |
def handle_response(self, message):
trans_id = message["t"]
args = message["r"]
node_id = args["id"]
client_host, client_port = self.client_address
logger.debug("Response message from %s:%d, t:%r, id:%r" % (client_host, client_port, trans_id.encode("hex"), node_id.encode("hex")))
# Do we already know about this node?
node = self.server.dht.rt.node_by_id(node_id)
if not node:
logger.debug("Cannot find appropriate node during simple search: %r" % (node_id.encode("hex")))
#Trying to search via transaction id
#get the node who sent the request, that correspondents to the response
node = self.server.dht.rt.node_by_trans(trans_id)
if not node:
logger.debug("Cannot find appropriate node for transaction: %r" % (trans_id.encode("hex")))
return
logger.debug("We found apropriate node %r for %r" % (node, node_id.encode("hex")))
if trans_id in node.trans:
logger.debug("Found and deleting transaction %r in node: %r" % (trans_id.encode("hex"), node))
#由于长时间没有响应的node会被自动删除,这里关系到多线程并发。所以可能会有bug
#the server thread competes "node" resource with the iterative_thread
try:
trans = node.trans[trans_id]
node.delete_trans(trans_id)
except:
logger.debug('delete trans on a deleted node')
return
else:
logger.debug("Cannot find transaction %r in node: %r" % (trans_id.encode("hex"), node))
return
if "ip" in args:
logger.debug("They try to SECURE me: %s", unpack_host(args["ip"].encode('hex')))
#the server thread competes "node" resource with the iterative_thread
try:
t_name = trans["name"]
except:
logger.debug('get name on a deleted trans')
return
if t_name == "find_node":
node.update_access()
logger.debug("find_node response from %r" % (node))
if "nodes" in args:
new_nodes = decode_nodes(args["nodes"])
logger.debug("We got new nodes from %r" % (node))
for new_node_id, new_node_host, new_node_port in new_nodes:
logger.debug("Adding %r %s:%d as new node" % (new_node_id.encode("hex"), new_node_host, new_node_port))
self.server.dht.rt.update_node(new_node_id, Node(new_node_host, new_node_port, new_node_id))
self.server.dht.rt.update_node(new_node_id, Node(new_node_host, new_node_port, new_node_id))
# cleanup boot node
if node._id == "boot":
logger.debug("This is response from \"boot\" node, replacing it")
# Create new node instance and move transactions from boot node to newly node
new_boot_node = Node(client_host, client_port, node_id)
new_boot_node.trans = node.trans
self.server.dht.rt.update_node(node_id, new_boot_node)
# Remove old boot node
self.server.dht.rt.remove_node(node._id)
elif t_name == "ping":
#update the node if it can pong us!!!
node.update_access()
logger.debug("ping response for: %r" % (node))
elif t_name == "get_peers":
node.update_access()
info_hash = trans["info_hash"]
logger.debug("get_peers response for %r" % (node))
if "token" in args:
token = args["token"]
logger.debug("Got token: %s" % (token.encode("hex")))
else:
token = None
#logger.error(self.server.dht.name+" No token in get_peers response from %r" % (node))
if "values" in args:
logger.debug("We got new peers for %s" % (info_hash.encode("hex")))
values = args["values"]
for addr in values:
hp = unpack_hostport(addr)
self.server.dht.ht.add_peer(info_hash, hp)
logger.debug("Got new peer for %s: %r" % (info_hash.encode("hex"), hp))
if "nodes" in args:
logger.debug("We got new nodes from %r" % (node))
new_nodes = decode_nodes(args["nodes"])
for new_node_id, new_node_host, new_node_port in new_nodes:
logger.debug("Adding %r %s:%d as new node" % (new_node_id.encode("hex"), new_node_host, new_node_port))
self.server.dht.rt.update_node(new_node_id, Node(new_node_host, new_node_port, new_node_id))
'''
here we do not annouce a peer, so we needn't implement the code for a "announce peer" message
'''
|
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] |
https://github.com/NanYoMy/DHT-woodworm/blob/e28bbff214bc3c41ea462854256dd499fb8a6eb0/btdht/btdht.py#L53-L149
|
||
SamSchott/maestral
|
a32653bac7b5a76cb326d4fd5a4fb2c11f19a2fc
|
src/maestral/sync.py
|
python
|
SyncEngine._create_remote_entry
|
(self, event: SyncEvent)
|
return event
|
Applies a local file system event to the remote Dropbox and clears any existing
sync errors belonging to that path. Any :class:`maestral.errors.SyncError` will
be caught and logged as appropriate.
This method always uses a new copy of client and closes the network session
afterwards.
:param event: SyncEvent for local file event.
:returns: SyncEvent with updated status.
|
Applies a local file system event to the remote Dropbox and clears any existing
sync errors belonging to that path. Any :class:`maestral.errors.SyncError` will
be caught and logged as appropriate.
|
[
"Applies",
"a",
"local",
"file",
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"event",
"to",
"the",
"remote",
"Dropbox",
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"clears",
"any",
"existing",
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"SyncError",
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"be",
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"and",
"logged",
"as",
"appropriate",
"."
] |
def _create_remote_entry(self, event: SyncEvent) -> SyncEvent:
"""
Applies a local file system event to the remote Dropbox and clears any existing
sync errors belonging to that path. Any :class:`maestral.errors.SyncError` will
be caught and logged as appropriate.
This method always uses a new copy of client and closes the network session
afterwards.
:param event: SyncEvent for local file event.
:returns: SyncEvent with updated status.
"""
if self._cancel_requested.is_set():
raise CancelledError("Sync cancelled")
self._slow_down()
self.clear_sync_error(event)
event.status = SyncStatus.Syncing
try:
with self.client.clone_with_new_session() as client:
if event.is_added:
res = self._on_local_created(event, client)
elif event.is_moved:
res = self._on_local_moved(event, client)
elif event.is_changed:
res = self._on_local_modified(event, client)
elif event.is_deleted:
res = self._on_local_deleted(event, client)
else:
res = None
if res is not None:
event.status = SyncStatus.Done
else:
event.status = SyncStatus.Skipped
except SyncError as err:
self._handle_sync_error(err, direction=SyncDirection.Up)
event.status = SyncStatus.Failed
finally:
self.syncing.pop(event.local_path, None)
# Add events to history database.
if event.status == SyncStatus.Done:
with self._database_access():
self._db_manager_history.save(event)
return event
|
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] |
https://github.com/SamSchott/maestral/blob/a32653bac7b5a76cb326d4fd5a4fb2c11f19a2fc/src/maestral/sync.py#L2202-L2253
|
|
tensorflow/neural-structured-learning
|
a43fcfca1f97ecc0ee99e688e5c8bf16c8fb6629
|
research/gam/gam/data/dataset.py
|
python
|
GCNDataset.sparse_to_tuple
|
(sparse_mx)
|
return sparse_mx
|
Convert sparse matrix to tuple representation.
|
Convert sparse matrix to tuple representation.
|
[
"Convert",
"sparse",
"matrix",
"to",
"tuple",
"representation",
"."
] |
def sparse_to_tuple(sparse_mx):
"""Convert sparse matrix to tuple representation."""
def to_tuple(mx):
if not scipy.sparse.isspmatrix_coo(mx):
mx = scipy.sparse.coo_matrix(mx)
coords = np.vstack((mx.row, mx.col)).transpose()
values = mx.data
shape = mx.shape
return coords, values, shape
if isinstance(sparse_mx, list):
for i in range(len(sparse_mx)):
sparse_mx[i] = to_tuple(sparse_mx[i])
else:
sparse_mx = to_tuple(sparse_mx)
return sparse_mx
|
[
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"to_tuple",
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"sparse_mx",
"=",
"to_tuple",
"(",
"sparse_mx",
")",
"return",
"sparse_mx"
] |
https://github.com/tensorflow/neural-structured-learning/blob/a43fcfca1f97ecc0ee99e688e5c8bf16c8fb6629/research/gam/gam/data/dataset.py#L560-L577
|
|
openshift/openshift-tools
|
1188778e728a6e4781acf728123e5b356380fe6f
|
openshift/installer/vendored/openshift-ansible-3.9.14-1/roles/openshift_logging/library/openshift_logging_facts.py
|
python
|
OpenshiftLoggingFacts.default_keys_for
|
(self, kind)
|
Sets the default key values for kind
|
Sets the default key values for kind
|
[
"Sets",
"the",
"default",
"key",
"values",
"for",
"kind"
] |
def default_keys_for(self, kind):
''' Sets the default key values for kind '''
for comp in COMPONENTS:
self.add_facts_for(comp, kind)
|
[
"def",
"default_keys_for",
"(",
"self",
",",
"kind",
")",
":",
"for",
"comp",
"in",
"COMPONENTS",
":",
"self",
".",
"add_facts_for",
"(",
"comp",
",",
"kind",
")"
] |
https://github.com/openshift/openshift-tools/blob/1188778e728a6e4781acf728123e5b356380fe6f/openshift/installer/vendored/openshift-ansible-3.9.14-1/roles/openshift_logging/library/openshift_logging_facts.py#L101-L104
|
||
CGATOxford/cgat
|
326aad4694bdfae8ddc194171bb5d73911243947
|
obsolete/pipeline_species_conservation.py
|
python
|
orthologPairsWithFeature
|
( infile, outfile)
|
Generate list of conserved genes associated with feature in all species
|
Generate list of conserved genes associated with feature in all species
|
[
"Generate",
"list",
"of",
"conserved",
"genes",
"associated",
"with",
"feature",
"in",
"all",
"species"
] |
def orthologPairsWithFeature( infile, outfile):
'''Generate list of conserved genes associated with feature in all species '''
tablename = "ortholog_pairs_with_feature"
species_list = P.asList(PARAMS["species"])
anno_list = P.asList(PARAMS["annotations_db"])
species_lookup = dict(zip(species_list, anno_list))
# Connect to database and attach annotation databases
dbhandle = sqlite3.connect( PARAMS["database"] )
for species in species_lookup.iterkeys():
species_db = species_lookup[species]
cc = dbhandle.cursor()
statement = '''ATTACH DATABASE '%(species_db)s' as %(species)s''' % locals()
cc.execute( statement )
cc.close()
# Extract data from db
cc = dbhandle.cursor()
cc.execute( "DROP TABLE IF EXISTS %(tablename)s" % locals() )
statement = '''CREATE TABLE %(tablename)s AS
SELECT count(distinct o.schema) as species_count,
group_concat(o.gene_id,",") as gene_ids,
group_concat(g.gene_name,",") as gene_names,
set_id, p.pattern as pattern, p.species_pair as species_pair
FROM genelists_merged g, pairwise_ortholog_groups o, pattern_lookup p
WHERE g.gene_id=o.gene_id
AND p.pattern=o.pattern
GROUP BY set_id ''' % locals()
cc.execute( statement )
cc.close()
statement = "touch %s" % outfile
P.run()
|
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".",
"run",
"(",
")"
] |
https://github.com/CGATOxford/cgat/blob/326aad4694bdfae8ddc194171bb5d73911243947/obsolete/pipeline_species_conservation.py#L539-L570
|
||
owid/covid-19-data
|
936aeae6cfbdc0163939ed7bd8ecdbb2582c0a92
|
scripts/src/cowidev/vax/cmd/generate_dataset.py
|
python
|
DatasetGenerator.pipe_manufacturer_select_cols
|
(self, df: pd.DataFrame)
|
return df[
[
"location",
"date",
"vaccine",
"total_vaccinations",
]
].sort_values(["location", "date", "vaccine"])
|
[] |
def pipe_manufacturer_select_cols(self, df: pd.DataFrame) -> pd.DataFrame:
return df[
[
"location",
"date",
"vaccine",
"total_vaccinations",
]
].sort_values(["location", "date", "vaccine"])
|
[
"def",
"pipe_manufacturer_select_cols",
"(",
"self",
",",
"df",
":",
"pd",
".",
"DataFrame",
")",
"->",
"pd",
".",
"DataFrame",
":",
"return",
"df",
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"\"location\"",
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"\"date\"",
",",
"\"vaccine\"",
",",
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",",
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"(",
"[",
"\"location\"",
",",
"\"date\"",
",",
"\"vaccine\"",
"]",
")"
] |
https://github.com/owid/covid-19-data/blob/936aeae6cfbdc0163939ed7bd8ecdbb2582c0a92/scripts/src/cowidev/vax/cmd/generate_dataset.py#L398-L406
|
|||
enthought/traitsui
|
b7c38c7a47bf6ae7971f9ddab70c8a358647dd25
|
traitsui/wx/tree_editor.py
|
python
|
SimpleEditor._get_icon
|
(self, node, object, is_expanded=False)
|
return self._image_list.GetIndex(image)
|
Returns the index of the specified object icon.
|
Returns the index of the specified object icon.
|
[
"Returns",
"the",
"index",
"of",
"the",
"specified",
"object",
"icon",
"."
] |
def _get_icon(self, node, object, is_expanded=False):
"""Returns the index of the specified object icon."""
if self._image_list is None:
return -1
icon_name = node.get_icon(object, is_expanded)
if isinstance(icon_name, str):
if icon_name.startswith("@"):
image = convert_image(icon_name, 3)
if image is None:
return -1
else:
if icon_name[:1] == "<":
icon_name = icon_name[1:-1]
path = self
else:
path = node.get_icon_path(object)
if isinstance(path, str):
path = [path, node]
else:
path.append(node)
image = ImageResource(icon_name, path).absolute_path
elif isinstance(icon_name, ImageResource):
image = icon_name.absolute_path
else:
raise ValueError(
"Icon value must be a string or IImageResource instance: "
+ "given {!r}".format(icon_name)
)
return self._image_list.GetIndex(image)
|
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] |
https://github.com/enthought/traitsui/blob/b7c38c7a47bf6ae7971f9ddab70c8a358647dd25/traitsui/wx/tree_editor.py#L554-L584
|
|
tornadomeet/mxnet-face
|
25d212791908c9dc0ea0c1de8e05af6d56f15e81
|
detection/symbol/resnet.py
|
python
|
resnet
|
(units, num_stage, filter_list, num_class=2, num_anchor=12, bottle_neck=True, bn_mom=0.9,
bn_global=True, workspace=512)
|
return mx.symbol.Group([rpn_roi, cls_prob, bbox_pred])
|
Return ResNet symbol of cifar10 and imagenet
Parameters
----------
units : list
Number of units in each stage
num_stage : int
Number of stage
filter_list : list
Channel size of each stage
num_class : int
Ouput size of symbol
dataset : str
Dataset type, only cifar10 and imagenet supports
workspace : int
Workspace used in convolution operator
|
Return ResNet symbol of cifar10 and imagenet
Parameters
----------
units : list
Number of units in each stage
num_stage : int
Number of stage
filter_list : list
Channel size of each stage
num_class : int
Ouput size of symbol
dataset : str
Dataset type, only cifar10 and imagenet supports
workspace : int
Workspace used in convolution operator
|
[
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"of",
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"str",
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"cifar10",
"and",
"imagenet",
"supports",
"workspace",
":",
"int",
"Workspace",
"used",
"in",
"convolution",
"operator"
] |
def resnet(units, num_stage, filter_list, num_class=2, num_anchor=12, bottle_neck=True, bn_mom=0.9,
bn_global=True, workspace=512):
"""Return ResNet symbol of cifar10 and imagenet
Parameters
----------
units : list
Number of units in each stage
num_stage : int
Number of stage
filter_list : list
Channel size of each stage
num_class : int
Ouput size of symbol
dataset : str
Dataset type, only cifar10 and imagenet supports
workspace : int
Workspace used in convolution operator
"""
num_unit = len(units)
assert(num_unit == num_stage)
data = mx.sym.Variable(name='data')
data = mx.sym.BatchNorm(data=data, fix_gamma=True, eps=2e-5, momentum=bn_mom, use_global_stats=bn_global, name='bn_data')
body = mx.sym.Convolution(data=data, num_filter=filter_list[0], kernel=(7, 7), stride=(2,2), pad=(3, 3),
no_bias=True, name="conv0", workspace=workspace)
body = mx.sym.BatchNorm(data=body, fix_gamma=False, eps=2e-5, momentum=bn_mom, use_global_stats=bn_global, name='bn0')
body = mx.sym.Activation(data=body, act_type='relu', name='relu0')
body = mx.symbol.Pooling(data=body, kernel=(3, 3), stride=(2,2), pad=(1,1), pool_type='max')
for i in range(num_stage):
bn_global_ = bn_global if i < num_stage-1 else False # after roi-pooling, do not use use_global_stats
body = residual_unit(body, filter_list[i+1], (1 if i==0 else 2, 1 if i==0 else 2), False,
name='stage%d_unit%d' % (i + 1, 1), bottle_neck=bottle_neck, workspace=workspace,
bn_global=bn_global_)
for j in range(units[i]-1):
body = residual_unit(body, filter_list[i+1], (1,1), True, name='stage%d_unit%d' % (i + 1, j + 2),
bottle_neck=bottle_neck, workspace=workspace, bn_global=bn_global_)
if i == num_stage - 2:
body, rpn_roi = rpn(body, num_class=num_class, num_anchor=num_anchor)
bn1 = mx.sym.BatchNorm(data=body, fix_gamma=False, eps=2e-5, momentum=bn_mom, use_global_stats=False, name='bn1')
relu1 = mx.sym.Activation(data=bn1, act_type='relu', name='relu1')
pool1 = mx.symbol.Pooling(data=relu1, global_pool=True, kernel=(7, 7), pool_type='avg', name='pool1')
flat = mx.symbol.Flatten(data=pool1)
# cls
cls_score = mx.symbol.FullyConnected(name='cls_score', data=flat, num_hidden=num_class)
cls_prob = mx.symbol.SoftmaxActivation(name='cls_prob', data=cls_score)
# reg
bbox_pred = mx.symbol.FullyConnected(name='bbox_pred', data=flat, num_hidden=num_class * 4)
# reshape output
cls_prob = mx.symbol.Reshape(data=cls_prob, shape=(1, -1, num_class), name='cls_prob_reshape')
bbox_pred = mx.symbol.Reshape(data=bbox_pred, shape=(1, -1, 4 * num_class), name='bbox_pred_reshape')
return mx.symbol.Group([rpn_roi, cls_prob, bbox_pred])
|
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] |
https://github.com/tornadomeet/mxnet-face/blob/25d212791908c9dc0ea0c1de8e05af6d56f15e81/detection/symbol/resnet.py#L93-L145
|
|
williballenthin/python-registry
|
11e857623469dd28ed14519a08d2db7c8228ca0c
|
samples/forensicating.py
|
python
|
users_sids
|
(soft_reg)
|
return sid_list
|
Return a list of subkeys containing the users SIDs
|
Return a list of subkeys containing the users SIDs
|
[
"Return",
"a",
"list",
"of",
"subkeys",
"containing",
"the",
"users",
"SIDs"
] |
def users_sids(soft_reg):
'''
Return a list of subkeys containing the users SIDs
'''
sid_list = []
registry = Registry.Registry(soft_reg)
key = registry.open("Microsoft\\Windows NT\\CurrentVersion\\ProfileList")
for v in key.subkeys():
sid_list.append(v.name())
return sid_list
|
[
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"sid_list"
] |
https://github.com/williballenthin/python-registry/blob/11e857623469dd28ed14519a08d2db7c8228ca0c/samples/forensicating.py#L66-L76
|
|
IronLanguages/ironpython3
|
7a7bb2a872eeab0d1009fc8a6e24dca43f65b693
|
Src/StdLib/Lib/distutils/command/bdist_msi.py
|
python
|
bdist_msi.initialize_options
|
(self)
|
[] |
def initialize_options(self):
self.bdist_dir = None
self.plat_name = None
self.keep_temp = 0
self.no_target_compile = 0
self.no_target_optimize = 0
self.target_version = None
self.dist_dir = None
self.skip_build = None
self.install_script = None
self.pre_install_script = None
self.versions = None
|
[
"def",
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https://github.com/IronLanguages/ironpython3/blob/7a7bb2a872eeab0d1009fc8a6e24dca43f65b693/Src/StdLib/Lib/distutils/command/bdist_msi.py#L125-L136
|
||||
Pymol-Scripts/Pymol-script-repo
|
bcd7bb7812dc6db1595953dfa4471fa15fb68c77
|
modules/idlelib/CallTipWindow.py
|
python
|
CallTip.showtip
|
(self, text, parenleft, parenright)
|
Show the calltip, bind events which will close it and reposition it.
|
Show the calltip, bind events which will close it and reposition it.
|
[
"Show",
"the",
"calltip",
"bind",
"events",
"which",
"will",
"close",
"it",
"and",
"reposition",
"it",
"."
] |
def showtip(self, text, parenleft, parenright):
"""Show the calltip, bind events which will close it and reposition it.
"""
# truncate overly long calltip
if len(text) >= 79:
textlines = text.splitlines()
for i, line in enumerate(textlines):
if len(line) > 79:
textlines[i] = line[:75] + ' ...'
text = '\n'.join(textlines)
self.text = text
if self.tipwindow or not self.text:
return
self.widget.mark_set(MARK_RIGHT, parenright)
self.parenline, self.parencol = map(
int, self.widget.index(parenleft).split("."))
self.tipwindow = tw = Toplevel(self.widget)
self.position_window()
# remove border on calltip window
tw.wm_overrideredirect(1)
try:
# This command is only needed and available on Tk >= 8.4.0 for OSX
# Without it, call tips intrude on the typing process by grabbing
# the focus.
tw.tk.call("::tk::unsupported::MacWindowStyle", "style", tw._w,
"help", "noActivates")
except TclError:
pass
self.label = Label(tw, text=self.text, justify=LEFT,
background="#ffffe0", relief=SOLID, borderwidth=1,
font = self.widget['font'])
self.label.pack()
self.checkhideid = self.widget.bind(CHECKHIDE_VIRTUAL_EVENT_NAME,
self.checkhide_event)
for seq in CHECKHIDE_SEQUENCES:
self.widget.event_add(CHECKHIDE_VIRTUAL_EVENT_NAME, seq)
self.widget.after(CHECKHIDE_TIME, self.checkhide_event)
self.hideid = self.widget.bind(HIDE_VIRTUAL_EVENT_NAME,
self.hide_event)
for seq in HIDE_SEQUENCES:
self.widget.event_add(HIDE_VIRTUAL_EVENT_NAME, seq)
|
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] |
https://github.com/Pymol-Scripts/Pymol-script-repo/blob/bcd7bb7812dc6db1595953dfa4471fa15fb68c77/modules/idlelib/CallTipWindow.py#L53-L96
|
||
CarterBain/AlephNull
|
796edec7e106cd76a5a69cb6e67a1a96c7a22cf6
|
alephnull/transforms/vwap.py
|
python
|
VWAPEventWindow.get_vwap
|
(self)
|
Return the calculated vwap for this sid.
|
Return the calculated vwap for this sid.
|
[
"Return",
"the",
"calculated",
"vwap",
"for",
"this",
"sid",
"."
] |
def get_vwap(self):
"""
Return the calculated vwap for this sid.
"""
# By convention, vwap is None if we have no events.
if len(self.ticks) == 0:
return None
else:
return (self.flux / self.totalvolume)
|
[
"def",
"get_vwap",
"(",
"self",
")",
":",
"# By convention, vwap is None if we have no events.",
"if",
"len",
"(",
"self",
".",
"ticks",
")",
"==",
"0",
":",
"return",
"None",
"else",
":",
"return",
"(",
"self",
".",
"flux",
"/",
"self",
".",
"totalvolume",
")"
] |
https://github.com/CarterBain/AlephNull/blob/796edec7e106cd76a5a69cb6e67a1a96c7a22cf6/alephnull/transforms/vwap.py#L90-L98
|
||
biopython/biopython
|
2dd97e71762af7b046d7f7f8a4f1e38db6b06c86
|
Bio/ExPASy/__init__.py
|
python
|
get_prosite_raw
|
(id, cgi=None)
|
return handle
|
Get a text handle to a raw PROSITE or PRODOC record at ExPASy.
The cgi argument is deprecated due to changes in the ExPASy
website.
>>> from Bio import ExPASy
>>> from Bio.ExPASy import Prosite
>>> with ExPASy.get_prosite_raw('PS00001') as handle:
... record = Prosite.read(handle)
...
>>> print(record.accession)
PS00001
This function raises a ValueError if the identifier does not exist:
>>> handle = ExPASy.get_prosite_raw("DOES_NOT_EXIST")
Traceback (most recent call last):
...
ValueError: Failed to find entry 'DOES_NOT_EXIST' on ExPASy
|
Get a text handle to a raw PROSITE or PRODOC record at ExPASy.
|
[
"Get",
"a",
"text",
"handle",
"to",
"a",
"raw",
"PROSITE",
"or",
"PRODOC",
"record",
"at",
"ExPASy",
"."
] |
def get_prosite_raw(id, cgi=None):
"""Get a text handle to a raw PROSITE or PRODOC record at ExPASy.
The cgi argument is deprecated due to changes in the ExPASy
website.
>>> from Bio import ExPASy
>>> from Bio.ExPASy import Prosite
>>> with ExPASy.get_prosite_raw('PS00001') as handle:
... record = Prosite.read(handle)
...
>>> print(record.accession)
PS00001
This function raises a ValueError if the identifier does not exist:
>>> handle = ExPASy.get_prosite_raw("DOES_NOT_EXIST")
Traceback (most recent call last):
...
ValueError: Failed to find entry 'DOES_NOT_EXIST' on ExPASy
"""
handle = _open(f"https://prosite.expasy.org/{id}.txt")
if handle.url == "https://www.expasy.org/":
raise ValueError(f"Failed to find entry '{id}' on ExPASy") from None
return handle
|
[
"def",
"get_prosite_raw",
"(",
"id",
",",
"cgi",
"=",
"None",
")",
":",
"handle",
"=",
"_open",
"(",
"f\"https://prosite.expasy.org/{id}.txt\"",
")",
"if",
"handle",
".",
"url",
"==",
"\"https://www.expasy.org/\"",
":",
"raise",
"ValueError",
"(",
"f\"Failed to find entry '{id}' on ExPASy\"",
")",
"from",
"None",
"return",
"handle"
] |
https://github.com/biopython/biopython/blob/2dd97e71762af7b046d7f7f8a4f1e38db6b06c86/Bio/ExPASy/__init__.py#L66-L91
|
|
ales-tsurko/cells
|
4cf7e395cd433762bea70cdc863a346f3a6fe1d0
|
packaging/macos/python/lib/python3.7/site-packages/pip/_vendor/html5lib/_inputstream.py
|
python
|
HTMLUnicodeInputStream.openStream
|
(self, source)
|
return stream
|
Produces a file object from source.
source can be either a file object, local filename or a string.
|
Produces a file object from source.
|
[
"Produces",
"a",
"file",
"object",
"from",
"source",
"."
] |
def openStream(self, source):
"""Produces a file object from source.
source can be either a file object, local filename or a string.
"""
# Already a file object
if hasattr(source, 'read'):
stream = source
else:
stream = StringIO(source)
return stream
|
[
"def",
"openStream",
"(",
"self",
",",
"source",
")",
":",
"# Already a file object",
"if",
"hasattr",
"(",
"source",
",",
"'read'",
")",
":",
"stream",
"=",
"source",
"else",
":",
"stream",
"=",
"StringIO",
"(",
"source",
")",
"return",
"stream"
] |
https://github.com/ales-tsurko/cells/blob/4cf7e395cd433762bea70cdc863a346f3a6fe1d0/packaging/macos/python/lib/python3.7/site-packages/pip/_vendor/html5lib/_inputstream.py#L210-L222
|
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