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value | code stringlengths 75 19.8k | code_tokens list | docstring stringlengths 3 17.3k | docstring_tokens list | sha stringlengths 40 40 | url stringlengths 87 242 |
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10,400 | dadadel/pyment | pyment/docstring.py | isin_alone | def isin_alone(elems, line):
"""Check if an element from a list is the only element of a string.
:type elems: list
:type line: str
"""
found = False
for e in elems:
if line.strip().lower() == e.lower():
found = True
break
return found | python | def isin_alone(elems, line):
"""Check if an element from a list is the only element of a string.
:type elems: list
:type line: str
"""
found = False
for e in elems:
if line.strip().lower() == e.lower():
found = True
break
return found | [
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10,401 | dadadel/pyment | pyment/docstring.py | isin_start | def isin_start(elems, line):
"""Check if an element from a list starts a string.
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"""Check if an element from a list starts a string.
:type elems: list
:type line: str
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10,402 | dadadel/pyment | pyment/docstring.py | isin | def isin(elems, line):
"""Check if an element from a list is in a string.
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break
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"""Check if an element from a list is in a string.
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:type line: str
"""
found = False
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10,403 | dadadel/pyment | pyment/docstring.py | get_leading_spaces | def get_leading_spaces(data):
"""Get the leading space of a string if it is not empty
:type data: str
"""
spaces = ''
m = re.match(r'^(\s*)', data)
if m:
spaces = m.group(1)
return spaces | python | def get_leading_spaces(data):
"""Get the leading space of a string if it is not empty
:type data: str
"""
spaces = ''
m = re.match(r'^(\s*)', data)
if m:
spaces = m.group(1)
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10,404 | dadadel/pyment | pyment/docstring.py | DocToolsBase.get_mandatory_sections | def get_mandatory_sections(self):
"""Get mandatory sections"""
return [s for s in self.opt
if s not in self.optional_sections and
s not in self.excluded_sections] | python | def get_mandatory_sections(self):
"""Get mandatory sections"""
return [s for s in self.opt
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10,405 | dadadel/pyment | pyment/docstring.py | NumpydocTools.get_raw_not_managed | def get_raw_not_managed(self, data):
"""Get elements not managed. They can be used as is.
:param data: the data to proceed
"""
keys = ['also', 'ref', 'note', 'other', 'example', 'method', 'attr']
elems = [self.opt[k] for k in self.opt if k in keys]
data = data.splitline... | python | def get_raw_not_managed(self, data):
"""Get elements not managed. They can be used as is.
:param data: the data to proceed
"""
keys = ['also', 'ref', 'note', 'other', 'example', 'method', 'attr']
elems = [self.opt[k] for k in self.opt if k in keys]
data = data.splitline... | [
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10,406 | dadadel/pyment | pyment/docstring.py | NumpydocTools.get_key_section_header | def get_key_section_header(self, key, spaces):
"""Get the key of the header section
:param key: the key name
:param spaces: spaces to set at the beginning of the header
"""
header = super(NumpydocTools, self).get_key_section_header(key, spaces)
header = spaces + header ... | python | def get_key_section_header(self, key, spaces):
"""Get the key of the header section
:param key: the key name
:param spaces: spaces to set at the beginning of the header
"""
header = super(NumpydocTools, self).get_key_section_header(key, spaces)
header = spaces + header ... | [
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10,407 | dadadel/pyment | pyment/docstring.py | DocsTools.autodetect_style | def autodetect_style(self, data):
"""Determine the style of a docstring,
and sets it as the default input one for the instance.
:param data: the docstring's data to recognize.
:type data: str
:returns: the style detected else 'unknown'
:rtype: str
"""
# ... | python | def autodetect_style(self, data):
"""Determine the style of a docstring,
and sets it as the default input one for the instance.
:param data: the docstring's data to recognize.
:type data: str
:returns: the style detected else 'unknown'
:rtype: str
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10,408 | dadadel/pyment | pyment/docstring.py | DocsTools._get_options | def _get_options(self, style):
"""Get the list of keywords for a particular style
:param style: the style that the keywords are wanted
"""
return [self.opt[o][style]['name'] for o in self.opt] | python | def _get_options(self, style):
"""Get the list of keywords for a particular style
:param style: the style that the keywords are wanted
"""
return [self.opt[o][style]['name'] for o in self.opt] | [
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10,409 | dadadel/pyment | pyment/docstring.py | DocsTools.get_group_key_line | def get_group_key_line(self, data, key):
"""Get the next group-style key's line number.
:param data: string to parse
:param key: the key category
:returns: the found line number else -1
"""
idx = -1
for i, line in enumerate(data.splitlines()):
if isi... | python | def get_group_key_line(self, data, key):
"""Get the next group-style key's line number.
:param data: string to parse
:param key: the key category
:returns: the found line number else -1
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idx = -1
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10,410 | dadadel/pyment | pyment/docstring.py | DocsTools.get_group_key_index | def get_group_key_index(self, data, key):
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:param key: the key category
:returns: the index if found else -1
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idx = -1
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"""Get the next groups style's starting line index for a key
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:param key: the key category
:returns: the index if found else -1
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10,411 | dadadel/pyment | pyment/docstring.py | DocsTools.get_group_line | def get_group_line(self, data):
"""Get the next group-style key's line.
:param data: the data to proceed
:returns: the line number
"""
idx = -1
for key in self.groups:
i = self.get_group_key_line(data, key)
if (i < idx and i != -1) or idx == -1:
... | python | def get_group_line(self, data):
"""Get the next group-style key's line.
:param data: the data to proceed
:returns: the line number
"""
idx = -1
for key in self.groups:
i = self.get_group_key_line(data, key)
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10,412 | dadadel/pyment | pyment/docstring.py | DocsTools.get_group_index | def get_group_index(self, data):
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"""
idx = -1
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10,413 | dadadel/pyment | pyment/docstring.py | DocsTools.get_key_index | def get_key_index(self, data, key, starting=True):
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:param data: string to parse
:param starting: does the key element must start the line (Default value = True)
:type starting: boolean
:param key: the key category. Can be... | python | def get_key_index(self, data, key, starting=True):
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10,414 | dadadel/pyment | pyment/docstring.py | DocString._extract_docs_description | def _extract_docs_description(self):
"""Extract main description from docstring"""
# FIXME: the indentation of descriptions is lost
data = '\n'.join([d.rstrip().replace(self.docs['out']['spaces'], '', 1) for d in self.docs['in']['raw'].splitlines()])
if self.dst.style['in'] == 'groups':
... | python | def _extract_docs_description(self):
"""Extract main description from docstring"""
# FIXME: the indentation of descriptions is lost
data = '\n'.join([d.rstrip().replace(self.docs['out']['spaces'], '', 1) for d in self.docs['in']['raw'].splitlines()])
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] | 3d1bdf87d083ff56230bd0bf7c5252e20552b7b6 | https://github.com/dadadel/pyment/blob/3d1bdf87d083ff56230bd0bf7c5252e20552b7b6/pyment/docstring.py#L1387-L1416 |
10,415 | dadadel/pyment | pyment/docstring.py | DocString._extract_groupstyle_docs_params | def _extract_groupstyle_docs_params(self):
"""Extract group style parameters"""
data = '\n'.join([d.rstrip().replace(self.docs['out']['spaces'], '', 1) for d in self.docs['in']['raw'].splitlines()])
idx = self.dst.get_group_key_line(data, 'param')
if idx >= 0:
data = data.spl... | python | def _extract_groupstyle_docs_params(self):
"""Extract group style parameters"""
data = '\n'.join([d.rstrip().replace(self.docs['out']['spaces'], '', 1) for d in self.docs['in']['raw'].splitlines()])
idx = self.dst.get_group_key_line(data, 'param')
if idx >= 0:
data = data.spl... | [
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10,416 | dadadel/pyment | pyment/docstring.py | DocString._extract_docs_return | def _extract_docs_return(self):
"""Extract return description and type"""
if self.dst.style['in'] == 'numpydoc':
data = '\n'.join([d.rstrip().replace(self.docs['out']['spaces'], '', 1) for d in self.docs['in']['raw'].splitlines()])
self.docs['in']['return'] = self.dst.numpydoc.ge... | python | def _extract_docs_return(self):
"""Extract return description and type"""
if self.dst.style['in'] == 'numpydoc':
data = '\n'.join([d.rstrip().replace(self.docs['out']['spaces'], '', 1) for d in self.docs['in']['raw'].splitlines()])
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10,417 | dadadel/pyment | pyment/docstring.py | DocString._extract_docs_other | def _extract_docs_other(self):
"""Extract other specific sections"""
if self.dst.style['in'] == 'numpydoc':
data = '\n'.join([d.rstrip().replace(self.docs['out']['spaces'], '', 1) for d in self.docs['in']['raw'].splitlines()])
lst = self.dst.numpydoc.get_list_key(data, 'also')
... | python | def _extract_docs_other(self):
"""Extract other specific sections"""
if self.dst.style['in'] == 'numpydoc':
data = '\n'.join([d.rstrip().replace(self.docs['out']['spaces'], '', 1) for d in self.docs['in']['raw'].splitlines()])
lst = self.dst.numpydoc.get_list_key(data, 'also')
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10,418 | dadadel/pyment | pyment/docstring.py | DocString._set_desc | def _set_desc(self):
"""Sets the global description if any"""
# TODO: manage different in/out styles
if self.docs['in']['desc']:
self.docs['out']['desc'] = self.docs['in']['desc']
else:
self.docs['out']['desc'] = '' | python | def _set_desc(self):
"""Sets the global description if any"""
# TODO: manage different in/out styles
if self.docs['in']['desc']:
self.docs['out']['desc'] = self.docs['in']['desc']
else:
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10,419 | dadadel/pyment | pyment/docstring.py | DocString._set_params | def _set_params(self):
"""Sets the parameters with types, descriptions and default value if any"""
# TODO: manage different in/out styles
if self.docs['in']['params']:
# list of parameters is like: (name, description, type)
self.docs['out']['params'] = list(self.docs['in'... | python | def _set_params(self):
"""Sets the parameters with types, descriptions and default value if any"""
# TODO: manage different in/out styles
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10,420 | dadadel/pyment | pyment/docstring.py | DocString._set_raises | def _set_raises(self):
"""Sets the raises and descriptions"""
# TODO: manage different in/out styles
# manage setting if not mandatory for numpy but optional
if self.docs['in']['raises']:
if self.dst.style['out'] != 'numpydoc' or self.dst.style['in'] == 'numpydoc' or \
... | python | def _set_raises(self):
"""Sets the raises and descriptions"""
# TODO: manage different in/out styles
# manage setting if not mandatory for numpy but optional
if self.docs['in']['raises']:
if self.dst.style['out'] != 'numpydoc' or self.dst.style['in'] == 'numpydoc' or \
... | [
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10,421 | dadadel/pyment | pyment/docstring.py | DocString._set_return | def _set_return(self):
"""Sets the return parameter with description and rtype if any"""
# TODO: manage return retrieved from element code (external)
# TODO: manage different in/out styles
if type(self.docs['in']['return']) is list and self.dst.style['out'] not in ['groups', 'numpydoc', ... | python | def _set_return(self):
"""Sets the return parameter with description and rtype if any"""
# TODO: manage return retrieved from element code (external)
# TODO: manage different in/out styles
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10,422 | dadadel/pyment | pyment/docstring.py | DocString._set_other | def _set_other(self):
"""Sets other specific sections"""
# manage not setting if not mandatory for numpy
if self.dst.style['in'] == 'numpydoc':
if self.docs['in']['raw'] is not None:
self.docs['out']['post'] = self.dst.numpydoc.get_raw_not_managed(self.docs['in']['raw... | python | def _set_other(self):
"""Sets other specific sections"""
# manage not setting if not mandatory for numpy
if self.dst.style['in'] == 'numpydoc':
if self.docs['in']['raw'] is not None:
self.docs['out']['post'] = self.dst.numpydoc.get_raw_not_managed(self.docs['in']['raw... | [
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10,423 | dadadel/pyment | pyment/docstring.py | DocString._set_raw | def _set_raw(self):
"""Sets the output raw docstring"""
sep = self.dst.get_sep(target='out')
sep = sep + ' ' if sep != ' ' else sep
with_space = lambda s: '\n'.join([self.docs['out']['spaces'] + l if i > 0 else l for i, l in enumerate(s.splitlines())])
# sets the description sec... | python | def _set_raw(self):
"""Sets the output raw docstring"""
sep = self.dst.get_sep(target='out')
sep = sep + ' ' if sep != ' ' else sep
with_space = lambda s: '\n'.join([self.docs['out']['spaces'] + l if i > 0 else l for i, l in enumerate(s.splitlines())])
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10,424 | dadadel/pyment | pyment/docstring.py | DocString.generate_docs | def generate_docs(self):
"""Generates the output docstring"""
if self.dst.style['out'] == 'numpydoc' and self.dst.numpydoc.first_line is not None:
self.first_line = self.dst.numpydoc.first_line
self._set_desc()
self._set_params()
self._set_return()
self._set_r... | python | def generate_docs(self):
"""Generates the output docstring"""
if self.dst.style['out'] == 'numpydoc' and self.dst.numpydoc.first_line is not None:
self.first_line = self.dst.numpydoc.first_line
self._set_desc()
self._set_params()
self._set_return()
self._set_r... | [
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10,425 | dadadel/pyment | pyment/pymentapp.py | get_files_from_dir | def get_files_from_dir(path, recursive=True, depth=0, file_ext='.py'):
"""Retrieve the list of files from a folder.
@param path: file or directory where to search files
@param recursive: if True will search also sub-directories
@param depth: if explore recursively, the depth of sub directories to follo... | python | def get_files_from_dir(path, recursive=True, depth=0, file_ext='.py'):
"""Retrieve the list of files from a folder.
@param path: file or directory where to search files
@param recursive: if True will search also sub-directories
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10,426 | dadadel/pyment | pyment/pymentapp.py | get_config | def get_config(config_file):
"""Get the configuration from a file.
@param config_file: the configuration file
@return: the configuration
@rtype: dict
"""
config = {}
tobool = lambda s: True if s.lower() == 'true' else False
if config_file:
try:
f = open(config_file,... | python | def get_config(config_file):
"""Get the configuration from a file.
@param config_file: the configuration file
@return: the configuration
@rtype: dict
"""
config = {}
tobool = lambda s: True if s.lower() == 'true' else False
if config_file:
try:
f = open(config_file,... | [
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10,427 | dadadel/pyment | pyment/pyment.py | PyComment.get_output_docs | def get_output_docs(self):
"""Return the output docstrings once formatted
:returns: the formatted docstrings
:rtype: list
"""
if not self.parsed:
self._parse()
lst = []
for e in self.docs_list:
lst.append(e['docs'].get_raw_docs())
... | python | def get_output_docs(self):
"""Return the output docstrings once formatted
:returns: the formatted docstrings
:rtype: list
"""
if not self.parsed:
self._parse()
lst = []
for e in self.docs_list:
lst.append(e['docs'].get_raw_docs())
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10,428 | dadadel/pyment | pyment/pyment.py | PyComment.compute_before_after | def compute_before_after(self):
"""Compute the list of lines before and after the proposed docstring changes.
:return: tuple of before,after where each is a list of lines of python code.
"""
if not self.parsed:
self._parse()
list_from = self.input_lines
list_... | python | def compute_before_after(self):
"""Compute the list of lines before and after the proposed docstring changes.
:return: tuple of before,after where each is a list of lines of python code.
"""
if not self.parsed:
self._parse()
list_from = self.input_lines
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10,429 | dadadel/pyment | pyment/pyment.py | PyComment.diff | def diff(self, source_path='', target_path='', which=-1):
"""Build the diff between original docstring and proposed docstring.
:type which: int
-> -1 means all the dosctrings of the file
-> >=0 means the index of the docstring to proceed (Default value = -1)
:param source_pa... | python | def diff(self, source_path='', target_path='', which=-1):
"""Build the diff between original docstring and proposed docstring.
:type which: int
-> -1 means all the dosctrings of the file
-> >=0 means the index of the docstring to proceed (Default value = -1)
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10,430 | dadadel/pyment | pyment/pyment.py | PyComment.get_patch_lines | def get_patch_lines(self, source_path, target_path):
"""Return the diff between source_path and target_path
:param source_path: name of the original file (Default value = '')
:param target_path: name of the final file (Default value = '')
:return: the diff as a list of \n terminated li... | python | def get_patch_lines(self, source_path, target_path):
"""Return the diff between source_path and target_path
:param source_path: name of the original file (Default value = '')
:param target_path: name of the final file (Default value = '')
:return: the diff as a list of \n terminated li... | [
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10,431 | dadadel/pyment | pyment/pyment.py | PyComment.write_patch_file | def write_patch_file(self, patch_file, lines_to_write):
"""Write lines_to_write to a the file called patch_file
:param patch_file: file name of the patch to generate
:param lines_to_write: lines to write to the file - they should be \n terminated
:type lines_to_write: list[str]
... | python | def write_patch_file(self, patch_file, lines_to_write):
"""Write lines_to_write to a the file called patch_file
:param patch_file: file name of the patch to generate
:param lines_to_write: lines to write to the file - they should be \n terminated
:type lines_to_write: list[str]
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10,432 | dadadel/pyment | pyment/pyment.py | PyComment.overwrite_source_file | def overwrite_source_file(self, lines_to_write):
"""overwrite the file with line_to_write
:param lines_to_write: lines to write to the file - they should be \n terminated
:type lines_to_write: List[str]
:return: None
"""
tmp_filename = '{0}.writing'.format(self.input_fi... | python | def overwrite_source_file(self, lines_to_write):
"""overwrite the file with line_to_write
:param lines_to_write: lines to write to the file - they should be \n terminated
:type lines_to_write: List[str]
:return: None
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10,433 | what-studio/profiling | profiling/sortkeys.py | by_own_time_per_call | def by_own_time_per_call(stat):
"""Sorting by exclusive elapsed time per call in descending order."""
return (-stat.own_time_per_call if stat.own_hits else -stat.own_time,
by_deep_time_per_call(stat)) | python | def by_own_time_per_call(stat):
"""Sorting by exclusive elapsed time per call in descending order."""
return (-stat.own_time_per_call if stat.own_hits else -stat.own_time,
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10,434 | what-studio/profiling | profiling/profiler.py | Profiler.result | def result(self):
"""Gets the frozen statistics to serialize by Pickle."""
try:
cpu_time = max(0, time.clock() - self._cpu_time_started)
wall_time = max(0, time.time() - self._wall_time_started)
except AttributeError:
cpu_time = wall_time = 0.0
return ... | python | def result(self):
"""Gets the frozen statistics to serialize by Pickle."""
try:
cpu_time = max(0, time.clock() - self._cpu_time_started)
wall_time = max(0, time.time() - self._wall_time_started)
except AttributeError:
cpu_time = wall_time = 0.0
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10,435 | what-studio/profiling | profiling/profiler.py | Profiler.dump | def dump(self, dump_filename, pickle_protocol=pickle.HIGHEST_PROTOCOL):
"""Saves the profiling result to a file
:param dump_filename: path to a file
:type dump_filename: str
:param pickle_protocol: version of pickle protocol
:type pickle_protocol: int
"""
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"""Saves the profiling result to a file
:param dump_filename: path to a file
:type dump_filename: str
:param pickle_protocol: version of pickle protocol
:type pickle_protocol: int
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10,436 | what-studio/profiling | profiling/profiler.py | Profiler.make_viewer | def make_viewer(self, title=None, at=None):
"""Makes a statistics viewer from the profiling result.
"""
viewer = StatisticsViewer()
viewer.set_profiler_class(self.__class__)
stats, cpu_time, wall_time = self.result()
viewer.set_result(stats, cpu_time, wall_time, title=tit... | python | def make_viewer(self, title=None, at=None):
"""Makes a statistics viewer from the profiling result.
"""
viewer = StatisticsViewer()
viewer.set_profiler_class(self.__class__)
stats, cpu_time, wall_time = self.result()
viewer.set_result(stats, cpu_time, wall_time, title=tit... | [
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10,437 | what-studio/profiling | profiling/remote/__init__.py | pack_msg | def pack_msg(method, msg, pickle_protocol=PICKLE_PROTOCOL):
"""Packs a method and message."""
dump = io.BytesIO()
pickle.dump(msg, dump, pickle_protocol)
size = dump.tell()
return (struct.pack(METHOD_STRUCT_FORMAT, method) +
struct.pack(SIZE_STRUCT_FORMAT, size) + dump.getvalue()) | python | def pack_msg(method, msg, pickle_protocol=PICKLE_PROTOCOL):
"""Packs a method and message."""
dump = io.BytesIO()
pickle.dump(msg, dump, pickle_protocol)
size = dump.tell()
return (struct.pack(METHOD_STRUCT_FORMAT, method) +
struct.pack(SIZE_STRUCT_FORMAT, size) + dump.getvalue()) | [
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10,438 | what-studio/profiling | profiling/remote/__init__.py | recv | def recv(sock, size):
"""Receives exactly `size` bytes. This function blocks the thread."""
data = sock.recv(size, socket.MSG_WAITALL)
if len(data) < size:
raise socket.error(ECONNRESET, 'Connection closed')
return data | python | def recv(sock, size):
"""Receives exactly `size` bytes. This function blocks the thread."""
data = sock.recv(size, socket.MSG_WAITALL)
if len(data) < size:
raise socket.error(ECONNRESET, 'Connection closed')
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10,439 | what-studio/profiling | profiling/remote/__init__.py | recv_msg | def recv_msg(sock):
"""Receives a method and message from the socket. This function blocks the
current thread.
"""
data = recv(sock, struct.calcsize(METHOD_STRUCT_FORMAT))
method, = struct.unpack(METHOD_STRUCT_FORMAT, data)
data = recv(sock, struct.calcsize(SIZE_STRUCT_FORMAT))
size, = stru... | python | def recv_msg(sock):
"""Receives a method and message from the socket. This function blocks the
current thread.
"""
data = recv(sock, struct.calcsize(METHOD_STRUCT_FORMAT))
method, = struct.unpack(METHOD_STRUCT_FORMAT, data)
data = recv(sock, struct.calcsize(SIZE_STRUCT_FORMAT))
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10,440 | what-studio/profiling | profiling/remote/__init__.py | ProfilingServer.connected | def connected(self, client):
"""Call this method when a client connected."""
self.clients.add(client)
self._log_connected(client)
self._start_watching(client)
self.send_msg(client, WELCOME, (self.pickle_protocol, __version__),
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prof... | python | def connected(self, client):
"""Call this method when a client connected."""
self.clients.add(client)
self._log_connected(client)
self._start_watching(client)
self.send_msg(client, WELCOME, (self.pickle_protocol, __version__),
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10,441 | what-studio/profiling | profiling/remote/__init__.py | ProfilingServer.disconnected | def disconnected(self, client):
"""Call this method when a client disconnected."""
if client not in self.clients:
# already disconnected.
return
self.clients.remove(client)
self._log_disconnected(client)
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"""Call this method when a client disconnected."""
if client not in self.clients:
# already disconnected.
return
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10,442 | what-studio/profiling | profiling/viewer.py | StatisticsWidget.get_mark | def get_mark(self):
"""Gets an expanded, collapsed, or leaf icon."""
if self.is_leaf:
char = self.icon_chars[2]
else:
char = self.icon_chars[int(self.expanded)]
return urwid.SelectableIcon(('mark', char), 0) | python | def get_mark(self):
"""Gets an expanded, collapsed, or leaf icon."""
if self.is_leaf:
char = self.icon_chars[2]
else:
char = self.icon_chars[int(self.expanded)]
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10,443 | what-studio/profiling | profiling/viewer.py | StatisticsTable.get_path | def get_path(self):
"""Gets the path to the focused statistics. Each step is a hash of
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"""
path = deque()
__, node = self.get_focus()
while not node.is_root():
stats = node.get_value()
path.appendleft(hash(stats))
nod... | python | def get_path(self):
"""Gets the path to the focused statistics. Each step is a hash of
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"""
path = deque()
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stats = node.get_value()
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10,444 | what-studio/profiling | profiling/viewer.py | StatisticsTable.find_node | def find_node(self, node, path):
"""Finds a node by the given path from the given node."""
for hash_value in path:
if isinstance(node, LeafStatisticsNode):
break
for stats in node.get_child_keys():
if hash(stats) == hash_value:
... | python | def find_node(self, node, path):
"""Finds a node by the given path from the given node."""
for hash_value in path:
if isinstance(node, LeafStatisticsNode):
break
for stats in node.get_child_keys():
if hash(stats) == hash_value:
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10,445 | what-studio/profiling | profiling/viewer.py | StatisticsViewer.update_result | def update_result(self):
"""Updates the result on the table."""
try:
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result = self._paused_result
else:
result = self._final_result
except AttributeError:
self.table.update_frame()
return
stat... | python | def update_result(self):
"""Updates the result on the table."""
try:
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result = self._paused_result
else:
result = self._final_result
except AttributeError:
self.table.update_frame()
return
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10,446 | what-studio/profiling | profiling/__main__.py | option_getter | def option_getter(type):
"""Gets an unbound method to get a configuration option as the given type.
"""
option_getters = {None: ConfigParser.get,
int: ConfigParser.getint,
float: ConfigParser.getfloat,
bool: ConfigParser.getboolean}
retur... | python | def option_getter(type):
"""Gets an unbound method to get a configuration option as the given type.
"""
option_getters = {None: ConfigParser.get,
int: ConfigParser.getint,
float: ConfigParser.getfloat,
bool: ConfigParser.getboolean}
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10,447 | what-studio/profiling | profiling/__main__.py | config_default | def config_default(option, default=None, type=None, section=cli.name):
"""Guesses a default value of a CLI option from the configuration.
::
@click.option('--locale', default=config_default('locale'))
"""
def f(option=option, default=default, type=type, section=section):
config = read_... | python | def config_default(option, default=None, type=None, section=cli.name):
"""Guesses a default value of a CLI option from the configuration.
::
@click.option('--locale', default=config_default('locale'))
"""
def f(option=option, default=default, type=type, section=section):
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10,448 | what-studio/profiling | profiling/__main__.py | config_flag | def config_flag(option, value, default=False, section=cli.name):
"""Guesses whether a CLI flag should be turned on or off from the
configuration. If the configuration option value is same with the given
value, it returns ``True``.
::
@click.option('--ko-kr', 'locale', is_flag=True,
... | python | def config_flag(option, value, default=False, section=cli.name):
"""Guesses whether a CLI flag should be turned on or off from the
configuration. If the configuration option value is same with the given
value, it returns ``True``.
::
@click.option('--ko-kr', 'locale', is_flag=True,
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10,449 | what-studio/profiling | profiling/__main__.py | get_title | def get_title(src_name, src_type=None):
"""Normalizes a source name as a string to be used for viewer's title."""
if src_type == 'tcp':
return '{0}:{1}'.format(*src_name)
return os.path.basename(src_name) | python | def get_title(src_name, src_type=None):
"""Normalizes a source name as a string to be used for viewer's title."""
if src_type == 'tcp':
return '{0}:{1}'.format(*src_name)
return os.path.basename(src_name) | [
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10,450 | what-studio/profiling | profiling/__main__.py | spawn_thread | def spawn_thread(func, *args, **kwargs):
"""Spawns a daemon thread."""
thread = threading.Thread(target=func, args=args, kwargs=kwargs)
thread.daemon = True
thread.start()
return thread | python | def spawn_thread(func, *args, **kwargs):
"""Spawns a daemon thread."""
thread = threading.Thread(target=func, args=args, kwargs=kwargs)
thread.daemon = True
thread.start()
return thread | [
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10,451 | what-studio/profiling | profiling/__main__.py | spawn | def spawn(mode, func, *args, **kwargs):
"""Spawns a thread-like object which runs the given function concurrently.
Available modes:
- `threading`
- `greenlet`
- `eventlet`
"""
if mode is None:
# 'threading' is the default mode.
mode = 'threading'
elif mode not in spawn... | python | def spawn(mode, func, *args, **kwargs):
"""Spawns a thread-like object which runs the given function concurrently.
Available modes:
- `threading`
- `greenlet`
- `eventlet`
"""
if mode is None:
# 'threading' is the default mode.
mode = 'threading'
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10,452 | what-studio/profiling | profiling/__main__.py | profile | def profile(script, argv, profiler_factory,
pickle_protocol, dump_filename, mono):
"""Profile a Python script."""
filename, code, globals_ = script
sys.argv[:] = [filename] + list(argv)
__profile__(filename, code, globals_, profiler_factory,
pickle_protocol=pickle_protocol, d... | python | def profile(script, argv, profiler_factory,
pickle_protocol, dump_filename, mono):
"""Profile a Python script."""
filename, code, globals_ = script
sys.argv[:] = [filename] + list(argv)
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10,453 | what-studio/profiling | profiling/__main__.py | live_profile | def live_profile(script, argv, profiler_factory, interval, spawn, signum,
pickle_protocol, mono):
"""Profile a Python script continuously."""
filename, code, globals_ = script
sys.argv[:] = [filename] + list(argv)
parent_sock, child_sock = socket.socketpair()
stderr_r_fd, stderr_w_f... | python | def live_profile(script, argv, profiler_factory, interval, spawn, signum,
pickle_protocol, mono):
"""Profile a Python script continuously."""
filename, code, globals_ = script
sys.argv[:] = [filename] + list(argv)
parent_sock, child_sock = socket.socketpair()
stderr_r_fd, stderr_w_f... | [
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10,454 | what-studio/profiling | profiling/__main__.py | view | def view(src, mono):
"""Inspect statistics by TUI view."""
src_type, src_name = src
title = get_title(src_name, src_type)
viewer, loop = make_viewer(mono)
if src_type == 'dump':
time = datetime.fromtimestamp(os.path.getmtime(src_name))
with open(src_name, 'rb') as f:
prof... | python | def view(src, mono):
"""Inspect statistics by TUI view."""
src_type, src_name = src
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prof... | [
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10,455 | what-studio/profiling | profiling/__main__.py | timeit_profile | def timeit_profile(stmt, number, repeat, setup,
profiler_factory, pickle_protocol, dump_filename, mono,
**_ignored):
"""Profile a Python statement like timeit."""
del _ignored
globals_ = {}
exec_(setup, globals_)
if number is None:
# determine number so ... | python | def timeit_profile(stmt, number, repeat, setup,
profiler_factory, pickle_protocol, dump_filename, mono,
**_ignored):
"""Profile a Python statement like timeit."""
del _ignored
globals_ = {}
exec_(setup, globals_)
if number is None:
# determine number so ... | [
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10,456 | what-studio/profiling | profiling/stats.py | spread_stats | def spread_stats(stats, spreader=False):
"""Iterates all descendant statistics under the given root statistics.
When ``spreader=True``, each iteration yields a descendant statistics and
`spread()` function together. You should call `spread()` if you want to
spread the yielded statistics also.
"""... | python | def spread_stats(stats, spreader=False):
"""Iterates all descendant statistics under the given root statistics.
When ``spreader=True``, each iteration yields a descendant statistics and
`spread()` function together. You should call `spread()` if you want to
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10,457 | what-studio/profiling | profiling/stats.py | Statistics.own_time | def own_time(self):
"""The exclusive execution time."""
sub_time = sum(stats.deep_time for stats in self)
return max(0., self.deep_time - sub_time) | python | def own_time(self):
"""The exclusive execution time."""
sub_time = sum(stats.deep_time for stats in self)
return max(0., self.deep_time - sub_time) | [
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10,458 | what-studio/profiling | profiling/stats.py | FlatFrozenStatistics.flatten | def flatten(cls, stats):
"""Makes a flat statistics from the given statistics."""
flat_children = {}
for _stats in spread_stats(stats):
key = (_stats.name, _stats.filename, _stats.lineno, _stats.module)
try:
flat_stats = flat_children[key]
exce... | python | def flatten(cls, stats):
"""Makes a flat statistics from the given statistics."""
flat_children = {}
for _stats in spread_stats(stats):
key = (_stats.name, _stats.filename, _stats.lineno, _stats.module)
try:
flat_stats = flat_children[key]
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10,459 | what-studio/profiling | setup.py | requirements | def requirements(filename):
"""Reads requirements from a file."""
with open(filename) as f:
return [x.strip() for x in f.readlines() if x.strip()] | python | def requirements(filename):
"""Reads requirements from a file."""
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10,460 | what-studio/profiling | profiling/sampling/__init__.py | SamplingProfiler.sample | def sample(self, frame):
"""Samples the given frame."""
frames = self.frame_stack(frame)
if frames:
frames.pop()
parent_stats = self.stats
for f in frames:
parent_stats = parent_stats.ensure_child(f.f_code, void)
stats = parent_stats.ensure_child(f... | python | def sample(self, frame):
"""Samples the given frame."""
frames = self.frame_stack(frame)
if frames:
frames.pop()
parent_stats = self.stats
for f in frames:
parent_stats = parent_stats.ensure_child(f.f_code, void)
stats = parent_stats.ensure_child(f... | [
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10,461 | what-studio/profiling | profiling/utils.py | deferral | def deferral():
"""Defers a function call when it is being required like Go.
::
with deferral() as defer:
sys.setprofile(f)
defer(sys.setprofile, None)
# do something.
"""
deferred = []
defer = lambda f, *a, **k: deferred.append((f, a, k))
try:
... | python | def deferral():
"""Defers a function call when it is being required like Go.
::
with deferral() as defer:
sys.setprofile(f)
defer(sys.setprofile, None)
# do something.
"""
deferred = []
defer = lambda f, *a, **k: deferred.append((f, a, k))
try:
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10,462 | what-studio/profiling | profiling/utils.py | Runnable.start | def start(self, *args, **kwargs):
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:raises RuntimeError: has been already started.
:raises TypeError: :meth:`run` is not canonical.
"""
if self.is_running():
raise RuntimeError('Already started')
self._running = self.run(*args, **kwarg... | python | def start(self, *args, **kwargs):
"""Starts the instance.
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"""
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10,463 | what-studio/profiling | profiling/utils.py | Runnable.stop | def stop(self):
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10,464 | what-studio/profiling | profiling/remote/select.py | SelectProfilingServer.sockets | def sockets(self):
"""Returns the set of the sockets."""
if self.listener is None:
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10,465 | what-studio/profiling | profiling/remote/select.py | SelectProfilingServer.select_sockets | def select_sockets(self, timeout=None):
"""EINTR safe version of `select`. It focuses on just incoming
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"""
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10,466 | what-studio/profiling | profiling/remote/select.py | SelectProfilingServer.dispatch_sockets | def dispatch_sockets(self, timeout=None):
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listener = sock
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listener = sock
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10,467 | what-studio/profiling | profiling/tracing/__init__.py | TracingProfiler.record_entering | def record_entering(self, time, code, frame_key, parent_stats):
"""Entered to a function call."""
stats = parent_stats.ensure_child(code, RecordingStatistics)
self._times_entered[(code, frame_key)] = time
stats.own_hits += 1 | python | def record_entering(self, time, code, frame_key, parent_stats):
"""Entered to a function call."""
stats = parent_stats.ensure_child(code, RecordingStatistics)
self._times_entered[(code, frame_key)] = time
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10,468 | what-studio/profiling | profiling/tracing/__init__.py | TracingProfiler.record_leaving | def record_leaving(self, time, code, frame_key, parent_stats):
"""Left from a function call."""
try:
stats = parent_stats.get_child(code)
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return
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"""Left from a function call."""
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10,469 | semiversus/python-broqer | broqer/op/subscribers/sink.py | build_sink | def build_sink(function: Callable[..., None] = None, *,
unpack: bool = False):
""" Decorator to wrap a function to return a Sink subscriber.
:param function: function to be wrapped
:param unpack: value from emits will be unpacked (*value)
"""
def _build_sink(function: Callable[..., N... | python | def build_sink(function: Callable[..., None] = None, *,
unpack: bool = False):
""" Decorator to wrap a function to return a Sink subscriber.
:param function: function to be wrapped
:param unpack: value from emits will be unpacked (*value)
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10,470 | semiversus/python-broqer | broqer/op/map_.py | build_map | def build_map(function: Callable[[Any], Any] = None,
unpack: bool = False):
""" Decorator to wrap a function to return a Map operator.
:param function: function to be wrapped
:param unpack: value from emits will be unpacked (*value)
"""
def _build_map(function: Callable[[Any], Any]):
... | python | def build_map(function: Callable[[Any], Any] = None,
unpack: bool = False):
""" Decorator to wrap a function to return a Map operator.
:param function: function to be wrapped
:param unpack: value from emits will be unpacked (*value)
"""
def _build_map(function: Callable[[Any], Any]):
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10,471 | semiversus/python-broqer | broqer/op/subscribers/trace.py | Trace._trace_handler | def _trace_handler(publisher, value, label=None):
""" Default trace handler is printing the timestamp, the publisher name
and the emitted value
"""
line = '--- %8.3f: ' % (time() - Trace._timestamp_start)
line += repr(publisher) if label is None else label
line += ' %r' %... | python | def _trace_handler(publisher, value, label=None):
""" Default trace handler is printing the timestamp, the publisher name
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"""
line = '--- %8.3f: ' % (time() - Trace._timestamp_start)
line += repr(publisher) if label is None else label
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10,472 | semiversus/python-broqer | broqer/op/subscribers/sink_async.py | build_sink_async | def build_sink_async(coro=None, *, mode=None, unpack: bool = False):
""" Decorator to wrap a coroutine to return a SinkAsync subscriber.
:param coro: coroutine to be wrapped
:param mode: behavior when a value is currently processed
:param unpack: value from emits will be unpacked (*value)
"""
_... | python | def build_sink_async(coro=None, *, mode=None, unpack: bool = False):
""" Decorator to wrap a coroutine to return a SinkAsync subscriber.
:param coro: coroutine to be wrapped
:param mode: behavior when a value is currently processed
:param unpack: value from emits will be unpacked (*value)
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10,473 | semiversus/python-broqer | broqer/op/accumulate.py | build_accumulate | def build_accumulate(function: Callable[[Any, Any], Tuple[Any, Any]] = None, *,
init: Any = NONE):
""" Decorator to wrap a function to return an Accumulate operator.
:param function: function to be wrapped
:param init: optional initialization for state
"""
_init = init
def... | python | def build_accumulate(function: Callable[[Any, Any], Tuple[Any, Any]] = None, *,
init: Any = NONE):
""" Decorator to wrap a function to return an Accumulate operator.
:param function: function to be wrapped
:param init: optional initialization for state
"""
_init = init
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10,474 | semiversus/python-broqer | broqer/hub/utils/datatype_check.py | resolve_meta_key | def resolve_meta_key(hub, key, meta):
""" Resolve a value when it's a string and starts with '>' """
if key not in meta:
return None
value = meta[key]
if isinstance(value, str) and value[0] == '>':
topic = value[1:]
if topic not in hub:
raise KeyError('topic %s not fo... | python | def resolve_meta_key(hub, key, meta):
""" Resolve a value when it's a string and starts with '>' """
if key not in meta:
return None
value = meta[key]
if isinstance(value, str) and value[0] == '>':
topic = value[1:]
if topic not in hub:
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10,475 | semiversus/python-broqer | broqer/hub/utils/datatype_check.py | DTTopic.checked_emit | def checked_emit(self, value: Any) -> asyncio.Future:
""" Casting and checking in one call """
if not isinstance(self._subject, Subscriber):
raise TypeError('Topic %r has to be a subscriber' % self._path)
value = self.cast(value)
self.check(value)
return self._subje... | python | def checked_emit(self, value: Any) -> asyncio.Future:
""" Casting and checking in one call """
if not isinstance(self._subject, Subscriber):
raise TypeError('Topic %r has to be a subscriber' % self._path)
value = self.cast(value)
self.check(value)
return self._subje... | [
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10,476 | semiversus/python-broqer | broqer/hub/utils/datatype_check.py | DTRegistry.add_datatype | def add_datatype(self, name: str, datatype: DT):
""" Register the datatype with it's name """
self._datatypes[name] = datatype | python | def add_datatype(self, name: str, datatype: DT):
""" Register the datatype with it's name """
self._datatypes[name] = datatype | [
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10,477 | semiversus/python-broqer | broqer/hub/utils/datatype_check.py | DTRegistry.cast | def cast(self, topic, value):
""" Cast a string to the value based on the datatype """
datatype_key = topic.meta.get('datatype', 'none')
result = self._datatypes[datatype_key].cast(topic, value)
validate_dt = topic.meta.get('validate', None)
if validate_dt:
result = s... | python | def cast(self, topic, value):
""" Cast a string to the value based on the datatype """
datatype_key = topic.meta.get('datatype', 'none')
result = self._datatypes[datatype_key].cast(topic, value)
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10,478 | semiversus/python-broqer | broqer/hub/utils/datatype_check.py | DTRegistry.check | def check(self, topic, value):
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datatype_key = topic.meta.get('datatype', 'none')
self._datatypes[datatype_key].check(topic, value)
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if validate_dt:
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""" Checking the value if it fits into the given specification """
datatype_key = topic.meta.get('datatype', 'none')
self._datatypes[datatype_key].check(topic, value)
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10,479 | semiversus/python-broqer | broqer/op/partition.py | Partition.flush | def flush(self):
""" Emits the current queue and clears the queue """
self.notify(tuple(self._queue))
self._queue.clear() | python | def flush(self):
""" Emits the current queue and clears the queue """
self.notify(tuple(self._queue))
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10,480 | semiversus/python-broqer | broqer/op/sample.py | Sample._periodic_callback | def _periodic_callback(self):
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self._error_callback(*sys.exc_info())
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10,481 | semiversus/python-broqer | broqer/op/reduce.py | build_reduce | def build_reduce(function: Callable[[Any, Any], Any] = None, *,
init: Any = NONE):
""" Decorator to wrap a function to return a Reduce operator.
:param function: function to be wrapped
:param init: optional initialization for state
"""
_init = init
def _build_reduce(function: ... | python | def build_reduce(function: Callable[[Any, Any], Any] = None, *,
init: Any = NONE):
""" Decorator to wrap a function to return a Reduce operator.
:param function: function to be wrapped
:param init: optional initialization for state
"""
_init = init
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10,482 | semiversus/python-broqer | broqer/op/sliding_window.py | SlidingWindow.flush | def flush(self):
""" Flush the queue - this will emit the current queue """
if not self._emit_partial and len(self._state) != self._state.maxlen:
self.notify(tuple(self._state))
self._state.clear() | python | def flush(self):
""" Flush the queue - this will emit the current queue """
if not self._emit_partial and len(self._state) != self._state.maxlen:
self.notify(tuple(self._state))
self._state.clear() | [
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10,483 | semiversus/python-broqer | broqer/op/map_async.py | build_map_async | def build_map_async(coro=None, *, mode=None, unpack: bool = False):
""" Decorator to wrap a coroutine to return a MapAsync operator.
:param coro: coroutine to be wrapped
:param mode: behavior when a value is currently processed
:param unpack: value from emits will be unpacked (*value)
"""
_mode... | python | def build_map_async(coro=None, *, mode=None, unpack: bool = False):
""" Decorator to wrap a coroutine to return a MapAsync operator.
:param coro: coroutine to be wrapped
:param mode: behavior when a value is currently processed
:param unpack: value from emits will be unpacked (*value)
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10,484 | semiversus/python-broqer | broqer/op/map_async.py | MapAsync._future_done | def _future_done(self, future):
""" Will be called when the coroutine is done """
try:
# notify the subscribers (except result is an exception or NONE)
result = future.result() # may raise exception
if result is not NONE:
self.notify(result) # may al... | python | def _future_done(self, future):
""" Will be called when the coroutine is done """
try:
# notify the subscribers (except result is an exception or NONE)
result = future.result() # may raise exception
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10,485 | semiversus/python-broqer | broqer/op/map_async.py | MapAsync._run_coro | def _run_coro(self, value):
""" Start the coroutine as task """
# when LAST_DISTINCT is used only start coroutine when value changed
if self._options.mode is MODE.LAST_DISTINCT and \
value == self._last_emit:
self._future = None
return
# store th... | python | def _run_coro(self, value):
""" Start the coroutine as task """
# when LAST_DISTINCT is used only start coroutine when value changed
if self._options.mode is MODE.LAST_DISTINCT and \
value == self._last_emit:
self._future = None
return
# store th... | [
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10,486 | semiversus/python-broqer | broqer/op/filter_.py | build_filter | def build_filter(predicate: Callable[[Any], bool] = None, *,
unpack: bool = False):
""" Decorator to wrap a function to return a Filter operator.
:param predicate: function to be wrapped
:param unpack: value from emits will be unpacked (*value)
"""
def _build_filter(predicate: Call... | python | def build_filter(predicate: Callable[[Any], bool] = None, *,
unpack: bool = False):
""" Decorator to wrap a function to return a Filter operator.
:param predicate: function to be wrapped
:param unpack: value from emits will be unpacked (*value)
"""
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10,487 | semiversus/python-broqer | broqer/op/operator_overloading.py | apply_operator_overloading | def apply_operator_overloading():
""" Function to apply operator overloading to Publisher class """
# operator overloading is (unfortunately) not working for the following
# cases:
# int, float, str - should return appropriate type instead of a Publisher
# len - should return an integer
# "x in ... | python | def apply_operator_overloading():
""" Function to apply operator overloading to Publisher class """
# operator overloading is (unfortunately) not working for the following
# cases:
# int, float, str - should return appropriate type instead of a Publisher
# len - should return an integer
# "x in ... | [
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10,488 | semiversus/python-broqer | broqer/hub/hub.py | Topic.assign | def assign(self, subject):
""" Assigns the given subject to the topic """
if not isinstance(subject, (Publisher, Subscriber)):
raise TypeError('Assignee has to be Publisher or Subscriber')
# check if not already assigned
if self._subject is not None:
raise Subscr... | python | def assign(self, subject):
""" Assigns the given subject to the topic """
if not isinstance(subject, (Publisher, Subscriber)):
raise TypeError('Assignee has to be Publisher or Subscriber')
# check if not already assigned
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10,489 | semiversus/python-broqer | broqer/hub/hub.py | Hub.freeze | def freeze(self, freeze: bool = True):
""" Freezing the hub means that each topic has to be assigned and no
new topics can be created after this point.
"""
for topic in self._topics.values():
topic.freeze()
self._frozen = freeze | python | def freeze(self, freeze: bool = True):
""" Freezing the hub means that each topic has to be assigned and no
new topics can be created after this point.
"""
for topic in self._topics.values():
topic.freeze()
self._frozen = freeze | [
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10,490 | semiversus/python-broqer | broqer/op/throttle.py | Throttle.reset | def reset(self):
""" Reseting duration for throttling """
if self._call_later_handler is not None:
self._call_later_handler.cancel()
self._call_later_handler = None
self._wait_done_cb() | python | def reset(self):
""" Reseting duration for throttling """
if self._call_later_handler is not None:
self._call_later_handler.cancel()
self._call_later_handler = None
self._wait_done_cb() | [
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10,491 | semiversus/python-broqer | broqer/op/map_threaded.py | build_map_threaded | def build_map_threaded(function: Callable[[Any], Any] = None,
mode=MODE.CONCURRENT, unpack: bool = False):
""" Decorator to wrap a function to return a MapThreaded operator.
:param function: function to be wrapped
:param mode: behavior when a value is currently processed
:param u... | python | def build_map_threaded(function: Callable[[Any], Any] = None,
mode=MODE.CONCURRENT, unpack: bool = False):
""" Decorator to wrap a function to return a MapThreaded operator.
:param function: function to be wrapped
:param mode: behavior when a value is currently processed
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10,492 | semiversus/python-broqer | broqer/op/map_threaded.py | MapThreaded._thread_coro | async def _thread_coro(self, *args):
""" Coroutine called by MapAsync. It's wrapping the call of
run_in_executor to run the synchronous function as thread """
return await self._loop.run_in_executor(
self._executor, self._function, *args) | python | async def _thread_coro(self, *args):
""" Coroutine called by MapAsync. It's wrapping the call of
run_in_executor to run the synchronous function as thread """
return await self._loop.run_in_executor(
self._executor, self._function, *args) | [
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10,493 | semiversus/python-broqer | broqer/op/debounce.py | Debounce.reset | def reset(self):
""" Reset the debounce time """
if self._retrigger_value is not NONE:
self.notify(self._retrigger_value)
self._state = self._retrigger_value
self._next_state = self._retrigger_value
if self._call_later_handler:
self._call_later_han... | python | def reset(self):
""" Reset the debounce time """
if self._retrigger_value is not NONE:
self.notify(self._retrigger_value)
self._state = self._retrigger_value
self._next_state = self._retrigger_value
if self._call_later_handler:
self._call_later_han... | [
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10,494 | semiversus/python-broqer | broqer/publisher.py | Publisher.subscribe | def subscribe(self, subscriber: 'Subscriber',
prepend: bool = False) -> SubscriptionDisposable:
""" Subscribing the given subscriber.
:param subscriber: subscriber to add
:param prepend: For internal use - usually the subscribers will be
added at the end of a list.... | python | def subscribe(self, subscriber: 'Subscriber',
prepend: bool = False) -> SubscriptionDisposable:
""" Subscribing the given subscriber.
:param subscriber: subscriber to add
:param prepend: For internal use - usually the subscribers will be
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10,495 | semiversus/python-broqer | broqer/publisher.py | Publisher.unsubscribe | def unsubscribe(self, subscriber: 'Subscriber') -> None:
""" Unsubscribe the given subscriber
:param subscriber: subscriber to unsubscribe
:raises SubscriptionError: if subscriber is not subscribed (anymore)
"""
# here is a special implementation which is replacing the more
... | python | def unsubscribe(self, subscriber: 'Subscriber') -> None:
""" Unsubscribe the given subscriber
:param subscriber: subscriber to unsubscribe
:raises SubscriptionError: if subscriber is not subscribed (anymore)
"""
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10,496 | semiversus/python-broqer | broqer/publisher.py | Publisher.inherit_type | def inherit_type(self, type_cls: Type[TInherit]) \
-> Union[TInherit, 'Publisher']:
""" enables the usage of method and attribute overloading for this
publisher.
"""
self._inherited_type = type_cls
return self | python | def inherit_type(self, type_cls: Type[TInherit]) \
-> Union[TInherit, 'Publisher']:
""" enables the usage of method and attribute overloading for this
publisher.
"""
self._inherited_type = type_cls
return self | [
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10,497 | astropy/photutils | photutils/extern/sigma_clipping.py | _move_tuple_axes_first | def _move_tuple_axes_first(array, axis):
"""
Bottleneck can only take integer axis, not tuple, so this function
takes all the axes to be operated on and combines them into the
first dimension of the array so that we can then use axis=0
"""
# Figure out how many axes we are operating over
na... | python | def _move_tuple_axes_first(array, axis):
"""
Bottleneck can only take integer axis, not tuple, so this function
takes all the axes to be operated on and combines them into the
first dimension of the array so that we can then use axis=0
"""
# Figure out how many axes we are operating over
na... | [
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10,498 | astropy/photutils | photutils/extern/sigma_clipping.py | _nanmean | def _nanmean(array, axis=None):
"""Bottleneck nanmean function that handle tuple axis."""
if isinstance(axis, tuple):
array = _move_tuple_axes_first(array, axis=axis)
axis = 0
return bottleneck.nanmean(array, axis=axis) | python | def _nanmean(array, axis=None):
"""Bottleneck nanmean function that handle tuple axis."""
if isinstance(axis, tuple):
array = _move_tuple_axes_first(array, axis=axis)
axis = 0
return bottleneck.nanmean(array, axis=axis) | [
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10,499 | astropy/photutils | photutils/extern/sigma_clipping.py | _nanmedian | def _nanmedian(array, axis=None):
"""Bottleneck nanmedian function that handle tuple axis."""
if isinstance(axis, tuple):
array = _move_tuple_axes_first(array, axis=axis)
axis = 0
return bottleneck.nanmedian(array, axis=axis) | python | def _nanmedian(array, axis=None):
"""Bottleneck nanmedian function that handle tuple axis."""
if isinstance(axis, tuple):
array = _move_tuple_axes_first(array, axis=axis)
axis = 0
return bottleneck.nanmedian(array, axis=axis) | [
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