Datasets:

espejelomar

/

code_search_net_python_10000_examples

like 10

juju/charm-helpers

charmhelpers/core/hookenv.py

log

def log(message, level=None): """Write a message to the juju log""" command = ['juju-log'] if level: command += ['-l', level] if not isinstance(message, six.string_types): message = repr(message) command += [message[:SH_MAX_ARG]] # Missing juju-log should not cause failures in unit tests # Send log output to stderr try: subprocess.call(command) except OSError as e: if e.errno == errno.ENOENT: if level: message = "{}: {}".format(level, message) message = "juju-log: {}".format(message) print(message, file=sys.stderr) else: raise

python

def log(message, level=None): """Write a message to the juju log""" command = ['juju-log'] if level: command += ['-l', level] if not isinstance(message, six.string_types): message = repr(message) command += [message[:SH_MAX_ARG]] # Missing juju-log should not cause failures in unit tests # Send log output to stderr try: subprocess.call(command) except OSError as e: if e.errno == errno.ENOENT: if level: message = "{}: {}".format(level, message) message = "juju-log: {}".format(message) print(message, file=sys.stderr) else: raise

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Write a message to the juju log

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https://github.com/juju/charm-helpers/blob/aa785c40c3b7a8c69dbfbc7921d6b9f30142e171/charmhelpers/core/hookenv.py#L100-L119

Chilipp/funcargparse

funcargparse/__init__.py

FuncArgParser.parse_known_chained

def parse_known_chained(self, args=None): """ Parse the argument directly to the function used for setup This function parses the command line arguments to the function that has been used for the :meth:`setup_args` method. Parameters ---------- args: list The arguments parsed to the :meth:`parse_args` function Returns ------- argparse.Namespace The namespace with mapping from command name to the function return list The remaining arguments that could not be interpreted See also -------- parse_known """ ns, remainder = self.parse_known_args(args) kws = vars(ns) return self._parse2subparser_funcs(kws), remainder

python

def parse_known_chained(self, args=None): """ Parse the argument directly to the function used for setup This function parses the command line arguments to the function that has been used for the :meth:`setup_args` method. Parameters ---------- args: list The arguments parsed to the :meth:`parse_args` function Returns ------- argparse.Namespace The namespace with mapping from command name to the function return list The remaining arguments that could not be interpreted See also -------- parse_known """ ns, remainder = self.parse_known_args(args) kws = vars(ns) return self._parse2subparser_funcs(kws), remainder

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train

https://github.com/Chilipp/funcargparse/blob/398ce8e7fa5aa35c465215446bda151cf1ecf7ad/funcargparse/__init__.py#L952-L979

pymc-devs/pymc

pymc/StepMethods.py

TWalk._g

def _g(self, h, xp, s): """Density function for blow and hop moves""" nphi = sum(self.phi) return (nphi / 2.0) * log(2 * pi) + nphi * \ log(s) + 0.5 * sum((h - xp) ** 2) / (s ** 2)

python

def _g(self, h, xp, s): """Density function for blow and hop moves""" nphi = sum(self.phi) return (nphi / 2.0) * log(2 * pi) + nphi * \ log(s) + 0.5 * sum((h - xp) ** 2) / (s ** 2)

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https://github.com/pymc-devs/pymc/blob/c6e530210bff4c0d7189b35b2c971bc53f93f7cd/pymc/StepMethods.py#L1732-L1738

metapensiero/metapensiero.signal

src/metapensiero/signal/core.py

Signal.prepare_notification

def prepare_notification(self, *, subscribers=None, instance=None, loop=None, notify_external=True): """Sets up a and configures an `~.utils.Executor`:class: instance.""" # merge callbacks added to the class level with those added to the # instance, giving the formers precedence while preserving overall # order self_subscribers = self.subscribers.copy() # add in callbacks declared in the main class body and marked with # @handler if (instance is not None and self.name and isinstance(instance.__class__, SignalAndHandlerInitMeta)): class_handlers = type(instance)._get_class_handlers( self.name, instance) for ch in class_handlers: # eventual methods are ephemeral and normally the following # condition would always be True for methods but the dict used # has logic to take that into account if ch not in self_subscribers: self_subscribers.append(ch) # add in the other instance level callbacks added at runtime if subscribers is not None: for el in subscribers: # eventual methods are ephemeral and normally the following # condition would always be True for methods but the dict used # has logic to take that into account if el not in self_subscribers: self_subscribers.append(el) loop = loop or self.loop # maybe do a round of external publishing if notify_external and self.external_signaller is not None: self_subscribers.append(partial(self.ext_publish, instance, loop)) if self._fnotify is None: fnotify = None else: if instance is None: fnotify = self._fnotify else: fnotify = types.MethodType(self._fnotify, instance) validator = self._fvalidation if validator is not None and instance is not None: validator = types.MethodType(validator, instance) return Executor(self_subscribers, owner=self, concurrent=SignalOptions.EXEC_CONCURRENT in self.flags, loop=loop, exec_wrapper=fnotify, fvalidation=validator)

python

def prepare_notification(self, *, subscribers=None, instance=None, loop=None, notify_external=True): """Sets up a and configures an `~.utils.Executor`:class: instance.""" # merge callbacks added to the class level with those added to the # instance, giving the formers precedence while preserving overall # order self_subscribers = self.subscribers.copy() # add in callbacks declared in the main class body and marked with # @handler if (instance is not None and self.name and isinstance(instance.__class__, SignalAndHandlerInitMeta)): class_handlers = type(instance)._get_class_handlers( self.name, instance) for ch in class_handlers: # eventual methods are ephemeral and normally the following # condition would always be True for methods but the dict used # has logic to take that into account if ch not in self_subscribers: self_subscribers.append(ch) # add in the other instance level callbacks added at runtime if subscribers is not None: for el in subscribers: # eventual methods are ephemeral and normally the following # condition would always be True for methods but the dict used # has logic to take that into account if el not in self_subscribers: self_subscribers.append(el) loop = loop or self.loop # maybe do a round of external publishing if notify_external and self.external_signaller is not None: self_subscribers.append(partial(self.ext_publish, instance, loop)) if self._fnotify is None: fnotify = None else: if instance is None: fnotify = self._fnotify else: fnotify = types.MethodType(self._fnotify, instance) validator = self._fvalidation if validator is not None and instance is not None: validator = types.MethodType(validator, instance) return Executor(self_subscribers, owner=self, concurrent=SignalOptions.EXEC_CONCURRENT in self.flags, loop=loop, exec_wrapper=fnotify, fvalidation=validator)

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train

https://github.com/metapensiero/metapensiero.signal/blob/1cbbb2e4bff00bf4887163b08b70d278e472bfe3/src/metapensiero/signal/core.py#L339-L383

nickmckay/LiPD-utilities

Python/lipd/csvs.py

_reorder_csv

def _reorder_csv(d, filename=""): """ Preserve the csv column ordering before writing back out to CSV file. Keep column data consistent with JSONLD column number alignment. { "var1" : {"number": 1, "values": [] }, "var2": {"number": 1, "values": [] } } :param dict d: csv data :param str filename: Filename :return dict: csv data """ _ensemble = is_ensemble(d) _d2 = [] try: if _ensemble: # 1 column ensemble: realizations if len(d) == 1: for var, data in d.items(): if "values" in data: _d2 = data["values"] # 2 column ensemble: depth and realizations else: _count = 0 # count up how many columns total, and how many placeholders to make in our list for var, data in d.items(): if isinstance(data["number"], list): _curr_count = len(data["number"]) _count += _curr_count elif isinstance(data["number"], (int, float, str)): _count += 1 # make a list with X number of placeholders _d2 = [None for i in range(0, _count)] # Loop again and start combining all columns into one list of lists for var, data in d.items(): # realizations: insert at (hopefully) index 1,2...1001 if isinstance(data["number"], list): for idx, number in enumerate(data["number"]): # we can't trust the number entries. sometimes they start at "number 1", # which isn't true, because DEPTH is number 1. Use enumerate index instead. _insert_at = int(idx) + 1 # Insert at one above the index. Grab values at exact index _d2[_insert_at] = data["values"][idx-1] # depth column: insert at (hopefully) index 0 else: # we can trust to use the number entry as an index placement _insert_at = int(data["number"]) - 1 # insert at one below number, to compensate for 0-index _d2[_insert_at] = data["values"] else: _count = len(d) _d2 = [None for i in range(0, _count)] for key, data in d.items(): _insert_at = int(data["number"]) - 1 _d2[_insert_at] = data["values"] except Exception as e: print("Error: Unable to write CSV: There was an error trying to prep the values for file write: {}".format(e)) logger_csvs.error("reorder_csvs: Unable to write CSV file: {}, {}".format(filename, e)) return _d2

python

def _reorder_csv(d, filename=""): """ Preserve the csv column ordering before writing back out to CSV file. Keep column data consistent with JSONLD column number alignment. { "var1" : {"number": 1, "values": [] }, "var2": {"number": 1, "values": [] } } :param dict d: csv data :param str filename: Filename :return dict: csv data """ _ensemble = is_ensemble(d) _d2 = [] try: if _ensemble: # 1 column ensemble: realizations if len(d) == 1: for var, data in d.items(): if "values" in data: _d2 = data["values"] # 2 column ensemble: depth and realizations else: _count = 0 # count up how many columns total, and how many placeholders to make in our list for var, data in d.items(): if isinstance(data["number"], list): _curr_count = len(data["number"]) _count += _curr_count elif isinstance(data["number"], (int, float, str)): _count += 1 # make a list with X number of placeholders _d2 = [None for i in range(0, _count)] # Loop again and start combining all columns into one list of lists for var, data in d.items(): # realizations: insert at (hopefully) index 1,2...1001 if isinstance(data["number"], list): for idx, number in enumerate(data["number"]): # we can't trust the number entries. sometimes they start at "number 1", # which isn't true, because DEPTH is number 1. Use enumerate index instead. _insert_at = int(idx) + 1 # Insert at one above the index. Grab values at exact index _d2[_insert_at] = data["values"][idx-1] # depth column: insert at (hopefully) index 0 else: # we can trust to use the number entry as an index placement _insert_at = int(data["number"]) - 1 # insert at one below number, to compensate for 0-index _d2[_insert_at] = data["values"] else: _count = len(d) _d2 = [None for i in range(0, _count)] for key, data in d.items(): _insert_at = int(data["number"]) - 1 _d2[_insert_at] = data["values"] except Exception as e: print("Error: Unable to write CSV: There was an error trying to prep the values for file write: {}".format(e)) logger_csvs.error("reorder_csvs: Unable to write CSV file: {}, {}".format(filename, e)) return _d2

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train

https://github.com/nickmckay/LiPD-utilities/blob/5dab6bbeffc5effd68e3a6beaca6b76aa928e860/Python/lipd/csvs.py#L470-L528

KelSolaar/Manager

manager/components_manager.py

Manager.list_components

def list_components(self, dependency_order=True): """ Lists the Components by dependency resolving. Usage:: >>> manager = Manager(("./manager/tests/tests_manager/resources/components/core",)) >>> manager.register_components() True >>> manager.list_components() [u'core.tests_component_a', u'core.tests_component_b'] :param dependency_order: Components are returned by dependency order. :type dependency_order: bool """ if dependency_order: return list(itertools.chain.from_iterable([sorted(list(batch)) for batch in foundations.common.dependency_resolver( dict((key, value.require) for (key, value) in self))])) else: return [key for (key, value) in self]

python

def list_components(self, dependency_order=True): """ Lists the Components by dependency resolving. Usage:: >>> manager = Manager(("./manager/tests/tests_manager/resources/components/core",)) >>> manager.register_components() True >>> manager.list_components() [u'core.tests_component_a', u'core.tests_component_b'] :param dependency_order: Components are returned by dependency order. :type dependency_order: bool """ if dependency_order: return list(itertools.chain.from_iterable([sorted(list(batch)) for batch in foundations.common.dependency_resolver( dict((key, value.require) for (key, value) in self))])) else: return [key for (key, value) in self]

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Lists the Components by dependency resolving. Usage:: >>> manager = Manager(("./manager/tests/tests_manager/resources/components/core",)) >>> manager.register_components() True >>> manager.list_components() [u'core.tests_component_a', u'core.tests_component_b'] :param dependency_order: Components are returned by dependency order. :type dependency_order: bool

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train

https://github.com/KelSolaar/Manager/blob/39c8153fc021fc8a76e345a6e336ec2644f089d1/manager/components_manager.py#L1217-L1238

twisted/txaws

txaws/wsdl.py

SequenceSchema.create

def create(self, root=None, namespace=None): """Create a sequence element with the given root. @param root: The C{etree.Element} to root the sequence at, if C{None} a new one will be created.. @result: A L{SequenceItem} with the given root. @raises L{ECResponseError}: If the given C{root} has a bad tag. """ if root is not None: tag = root.tag if root.nsmap: namespace = root.nsmap[None] tag = tag[len(namespace) + 2:] if tag != self.tag: raise WSDLParseError("Expected response with tag '%s', but " "got '%s' instead" % (self.tag, tag)) return SequenceItem(self, root, namespace)

python

def create(self, root=None, namespace=None): """Create a sequence element with the given root. @param root: The C{etree.Element} to root the sequence at, if C{None} a new one will be created.. @result: A L{SequenceItem} with the given root. @raises L{ECResponseError}: If the given C{root} has a bad tag. """ if root is not None: tag = root.tag if root.nsmap: namespace = root.nsmap[None] tag = tag[len(namespace) + 2:] if tag != self.tag: raise WSDLParseError("Expected response with tag '%s', but " "got '%s' instead" % (self.tag, tag)) return SequenceItem(self, root, namespace)

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train

https://github.com/twisted/txaws/blob/5c3317376cd47e536625027e38c3b37840175ce0/txaws/wsdl.py#L316-L332

fabioz/PyDev.Debugger

pydevd_attach_to_process/winappdbg/module.py

_ModuleContainer.split_label_fuzzy

def split_label_fuzzy(self, label): """ Splits a label entered as user input. It's more flexible in it's syntax parsing than the L{split_label_strict} method, as it allows the exclamation mark (B{C{!}}) to be omitted. The ambiguity is resolved by searching the modules in the snapshot to guess if a label refers to a module or a function. It also tries to rebuild labels when they contain hardcoded addresses. @warning: This method only parses the label, it doesn't make sure the label actually points to a valid memory location. @type label: str @param label: Label to split. @rtype: tuple( str or None, str or int or None, int or None ) @return: Tuple containing the C{module} name, the C{function} name or ordinal, and the C{offset} value. If the label doesn't specify a module, then C{module} is C{None}. If the label doesn't specify a function, then C{function} is C{None}. If the label doesn't specify an offset, then C{offset} is C{0}. @raise ValueError: The label is malformed. """ module = function = None offset = 0 # Special case: None if not label: label = compat.b("0x0") else: # Remove all blanks. label = label.replace(compat.b(' '), compat.b('')) label = label.replace(compat.b('\t'), compat.b('')) label = label.replace(compat.b('\r'), compat.b('')) label = label.replace(compat.b('\n'), compat.b('')) # Special case: empty label. if not label: label = compat.b("0x0") # If an exclamation sign is present, we know we can parse it strictly. if compat.b('!') in label: return self.split_label_strict(label) ## # Try to parse it strictly, on error do it the fuzzy way. ## try: ## return self.split_label(label) ## except ValueError: ## pass # * + offset if compat.b('+') in label: try: prefix, offset = label.split(compat.b('+')) except ValueError: raise ValueError("Malformed label: %s" % label) try: offset = HexInput.integer(offset) except ValueError: raise ValueError("Malformed label: %s" % label) label = prefix # This parses both filenames and base addresses. modobj = self.get_module_by_name(label) if modobj: # module # module + offset module = modobj.get_name() else: # TODO # If 0xAAAAAAAA + 0xBBBBBBBB is given, # A is interpreted as a module base address, # and B as an offset. # If that fails, it'd be good to add A+B and try to # use the nearest loaded module. # offset # base address + offset (when no module has that base address) try: address = HexInput.integer(label) if offset: # If 0xAAAAAAAA + 0xBBBBBBBB is given, # A is interpreted as a module base address, # and B as an offset. # If that fails, we get here, meaning no module was found # at A. Then add up A+B and work with that as a hardcoded # address. offset = address + offset else: # If the label is a hardcoded address, we get here. offset = address # If only a hardcoded address is given, # rebuild the label using get_label_at_address. # Then parse it again, but this time strictly, # both because there is no need for fuzzy syntax and # to prevent an infinite recursion if there's a bug here. try: new_label = self.get_label_at_address(offset) module, function, offset = \ self.split_label_strict(new_label) except ValueError: pass # function # function + offset except ValueError: function = label # Convert function ordinal strings into integers. if function and function.startswith(compat.b('#')): try: function = HexInput.integer(function[1:]) except ValueError: pass # Convert null offsets to None. if not offset: offset = None return (module, function, offset)

python

def split_label_fuzzy(self, label): """ Splits a label entered as user input. It's more flexible in it's syntax parsing than the L{split_label_strict} method, as it allows the exclamation mark (B{C{!}}) to be omitted. The ambiguity is resolved by searching the modules in the snapshot to guess if a label refers to a module or a function. It also tries to rebuild labels when they contain hardcoded addresses. @warning: This method only parses the label, it doesn't make sure the label actually points to a valid memory location. @type label: str @param label: Label to split. @rtype: tuple( str or None, str or int or None, int or None ) @return: Tuple containing the C{module} name, the C{function} name or ordinal, and the C{offset} value. If the label doesn't specify a module, then C{module} is C{None}. If the label doesn't specify a function, then C{function} is C{None}. If the label doesn't specify an offset, then C{offset} is C{0}. @raise ValueError: The label is malformed. """ module = function = None offset = 0 # Special case: None if not label: label = compat.b("0x0") else: # Remove all blanks. label = label.replace(compat.b(' '), compat.b('')) label = label.replace(compat.b('\t'), compat.b('')) label = label.replace(compat.b('\r'), compat.b('')) label = label.replace(compat.b('\n'), compat.b('')) # Special case: empty label. if not label: label = compat.b("0x0") # If an exclamation sign is present, we know we can parse it strictly. if compat.b('!') in label: return self.split_label_strict(label) ## # Try to parse it strictly, on error do it the fuzzy way. ## try: ## return self.split_label(label) ## except ValueError: ## pass # * + offset if compat.b('+') in label: try: prefix, offset = label.split(compat.b('+')) except ValueError: raise ValueError("Malformed label: %s" % label) try: offset = HexInput.integer(offset) except ValueError: raise ValueError("Malformed label: %s" % label) label = prefix # This parses both filenames and base addresses. modobj = self.get_module_by_name(label) if modobj: # module # module + offset module = modobj.get_name() else: # TODO # If 0xAAAAAAAA + 0xBBBBBBBB is given, # A is interpreted as a module base address, # and B as an offset. # If that fails, it'd be good to add A+B and try to # use the nearest loaded module. # offset # base address + offset (when no module has that base address) try: address = HexInput.integer(label) if offset: # If 0xAAAAAAAA + 0xBBBBBBBB is given, # A is interpreted as a module base address, # and B as an offset. # If that fails, we get here, meaning no module was found # at A. Then add up A+B and work with that as a hardcoded # address. offset = address + offset else: # If the label is a hardcoded address, we get here. offset = address # If only a hardcoded address is given, # rebuild the label using get_label_at_address. # Then parse it again, but this time strictly, # both because there is no need for fuzzy syntax and # to prevent an infinite recursion if there's a bug here. try: new_label = self.get_label_at_address(offset) module, function, offset = \ self.split_label_strict(new_label) except ValueError: pass # function # function + offset except ValueError: function = label # Convert function ordinal strings into integers. if function and function.startswith(compat.b('#')): try: function = HexInput.integer(function[1:]) except ValueError: pass # Convert null offsets to None. if not offset: offset = None return (module, function, offset)

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Splits a label entered as user input. It's more flexible in it's syntax parsing than the L{split_label_strict} method, as it allows the exclamation mark (B{C{!}}) to be omitted. The ambiguity is resolved by searching the modules in the snapshot to guess if a label refers to a module or a function. It also tries to rebuild labels when they contain hardcoded addresses. @warning: This method only parses the label, it doesn't make sure the label actually points to a valid memory location. @type label: str @param label: Label to split. @rtype: tuple( str or None, str or int or None, int or None ) @return: Tuple containing the C{module} name, the C{function} name or ordinal, and the C{offset} value. If the label doesn't specify a module, then C{module} is C{None}. If the label doesn't specify a function, then C{function} is C{None}. If the label doesn't specify an offset, then C{offset} is C{0}. @raise ValueError: The label is malformed.

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train

https://github.com/fabioz/PyDev.Debugger/blob/ed9c4307662a5593b8a7f1f3389ecd0e79b8c503/pydevd_attach_to_process/winappdbg/module.py#L1317-L1450

odlgroup/odl

odl/ufunc_ops/ufunc_ops.py

find_min_signature

def find_min_signature(ufunc, dtypes_in): """Determine the minimum matching ufunc signature for given dtypes. Parameters ---------- ufunc : str or numpy.ufunc Ufunc whose signatures are to be considered. dtypes_in : Sequence of objects specifying input dtypes. Its length must match the number of inputs of ``ufunc``, and its entries must be understood by `numpy.dtype`. Returns ------- signature : str Minimum matching ufunc signature, see, e.g., ``np.add.types`` for examples. Raises ------ TypeError If no valid signature is found. """ if not isinstance(ufunc, np.ufunc): ufunc = getattr(np, str(ufunc)) dtypes_in = [np.dtype(dt_in) for dt_in in dtypes_in] tcs_in = [dt.base.char for dt in dtypes_in] if len(tcs_in) != ufunc.nin: raise ValueError('expected {} input dtype(s) for {}, got {}' ''.format(ufunc.nin, ufunc, len(tcs_in))) valid_sigs = [] for sig in ufunc.types: sig_tcs_in, sig_tcs_out = sig.split('->') if all(np.dtype(tc_in) <= np.dtype(sig_tc_in) and sig_tc_in in SUPP_TYPECODES for tc_in, sig_tc_in in zip(tcs_in, sig_tcs_in)): valid_sigs.append(sig) if not valid_sigs: raise TypeError('no valid signature found for {} and input dtypes {}' ''.format(ufunc, tuple(dt.name for dt in dtypes_in))) def in_dtypes(sig): """Comparison key function for input dtypes of a signature.""" sig_tcs_in = sig.split('->')[0] return tuple(np.dtype(tc) for tc in sig_tcs_in) return min(valid_sigs, key=in_dtypes)

python

def find_min_signature(ufunc, dtypes_in): """Determine the minimum matching ufunc signature for given dtypes. Parameters ---------- ufunc : str or numpy.ufunc Ufunc whose signatures are to be considered. dtypes_in : Sequence of objects specifying input dtypes. Its length must match the number of inputs of ``ufunc``, and its entries must be understood by `numpy.dtype`. Returns ------- signature : str Minimum matching ufunc signature, see, e.g., ``np.add.types`` for examples. Raises ------ TypeError If no valid signature is found. """ if not isinstance(ufunc, np.ufunc): ufunc = getattr(np, str(ufunc)) dtypes_in = [np.dtype(dt_in) for dt_in in dtypes_in] tcs_in = [dt.base.char for dt in dtypes_in] if len(tcs_in) != ufunc.nin: raise ValueError('expected {} input dtype(s) for {}, got {}' ''.format(ufunc.nin, ufunc, len(tcs_in))) valid_sigs = [] for sig in ufunc.types: sig_tcs_in, sig_tcs_out = sig.split('->') if all(np.dtype(tc_in) <= np.dtype(sig_tc_in) and sig_tc_in in SUPP_TYPECODES for tc_in, sig_tc_in in zip(tcs_in, sig_tcs_in)): valid_sigs.append(sig) if not valid_sigs: raise TypeError('no valid signature found for {} and input dtypes {}' ''.format(ufunc, tuple(dt.name for dt in dtypes_in))) def in_dtypes(sig): """Comparison key function for input dtypes of a signature.""" sig_tcs_in = sig.split('->')[0] return tuple(np.dtype(tc) for tc in sig_tcs_in) return min(valid_sigs, key=in_dtypes)

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train

https://github.com/odlgroup/odl/blob/b8443f6aca90e191ba36c91d32253c5a36249a6c/odl/ufunc_ops/ufunc_ops.py#L27-L77

knipknap/exscript

Exscript/util/mail.py

from_template_string

def from_template_string(string, **kwargs): """ Reads the given SMTP formatted template, and creates a new Mail object using the information. :type string: str :param string: The SMTP formatted template. :type kwargs: str :param kwargs: Variables to replace in the template. :rtype: Mail :return: The resulting mail. """ tmpl = _render_template(string, **kwargs) mail = Mail() mail.set_from_template_string(tmpl) return mail

python

def from_template_string(string, **kwargs): """ Reads the given SMTP formatted template, and creates a new Mail object using the information. :type string: str :param string: The SMTP formatted template. :type kwargs: str :param kwargs: Variables to replace in the template. :rtype: Mail :return: The resulting mail. """ tmpl = _render_template(string, **kwargs) mail = Mail() mail.set_from_template_string(tmpl) return mail

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train

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inasafe/inasafe

safe/impact_function/provenance_utilities.py

get_multi_exposure_analysis_question

def get_multi_exposure_analysis_question(hazard, exposures): """Construct analysis question based on hazard and exposures. :param hazard: A hazard definition. :type hazard: dict :param exposure: A list of exposure definition. :type exposure: list :returns: Analysis question based on reporting standards. :rtype: str """ exposures_question = '' exposure_format = '{exposure_measure} {exposure_name}' for index, exposure in enumerate(exposures): if index + 1 == len(exposures): if len(exposures) > 2: exposures_question += tr(', and ') else: exposures_question += tr(' and ') elif index != 0: exposures_question += ', ' exposures_question += exposure_format.format( exposure_measure=exposure['measure_question'], exposure_name=exposure['name']) if hazard == hazard_generic: question = tr( 'In each of the hazard zones, {exposures_question} ' 'might be affected?').format(exposures_question=exposures_question) else: question = tr( 'In the event of a {hazard_name}, {exposures_question} ' 'might be affected?').format( hazard_name=hazard['name'], exposures_question=exposures_question) return question

python

def get_multi_exposure_analysis_question(hazard, exposures): """Construct analysis question based on hazard and exposures. :param hazard: A hazard definition. :type hazard: dict :param exposure: A list of exposure definition. :type exposure: list :returns: Analysis question based on reporting standards. :rtype: str """ exposures_question = '' exposure_format = '{exposure_measure} {exposure_name}' for index, exposure in enumerate(exposures): if index + 1 == len(exposures): if len(exposures) > 2: exposures_question += tr(', and ') else: exposures_question += tr(' and ') elif index != 0: exposures_question += ', ' exposures_question += exposure_format.format( exposure_measure=exposure['measure_question'], exposure_name=exposure['name']) if hazard == hazard_generic: question = tr( 'In each of the hazard zones, {exposures_question} ' 'might be affected?').format(exposures_question=exposures_question) else: question = tr( 'In the event of a {hazard_name}, {exposures_question} ' 'might be affected?').format( hazard_name=hazard['name'], exposures_question=exposures_question) return question

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train

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wummel/linkchecker

third_party/dnspython/dns/tsig.py

get_algorithm

def get_algorithm(algorithm): """Returns the wire format string and the hash module to use for the specified TSIG algorithm @rtype: (string, hash constructor) @raises NotImplementedError: I{algorithm} is not supported """ global _hashes if _hashes is None: _setup_hashes() if isinstance(algorithm, (str, unicode)): algorithm = dns.name.from_text(algorithm) if sys.hexversion < 0x02050200 and \ (algorithm == HMAC_SHA384 or algorithm == HMAC_SHA512): raise NotImplementedError("TSIG algorithm " + str(algorithm) + " requires Python 2.5.2 or later") try: return (algorithm.to_digestable(), _hashes[algorithm]) except KeyError: raise NotImplementedError("TSIG algorithm " + str(algorithm) + " is not supported")

python

def get_algorithm(algorithm): """Returns the wire format string and the hash module to use for the specified TSIG algorithm @rtype: (string, hash constructor) @raises NotImplementedError: I{algorithm} is not supported """ global _hashes if _hashes is None: _setup_hashes() if isinstance(algorithm, (str, unicode)): algorithm = dns.name.from_text(algorithm) if sys.hexversion < 0x02050200 and \ (algorithm == HMAC_SHA384 or algorithm == HMAC_SHA512): raise NotImplementedError("TSIG algorithm " + str(algorithm) + " requires Python 2.5.2 or later") try: return (algorithm.to_digestable(), _hashes[algorithm]) except KeyError: raise NotImplementedError("TSIG algorithm " + str(algorithm) + " is not supported")

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train

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gem/oq-engine

openquake/baselib/datastore.py

extract_calc_id_datadir

def extract_calc_id_datadir(filename, datadir=None): """ Extract the calculation ID from the given filename or integer: >>> extract_calc_id_datadir('/mnt/ssd/oqdata/calc_25.hdf5') (25, '/mnt/ssd/oqdata') >>> extract_calc_id_datadir('/mnt/ssd/oqdata/wrong_name.hdf5') Traceback (most recent call last): ... ValueError: Cannot extract calc_id from /mnt/ssd/oqdata/wrong_name.hdf5 """ datadir = datadir or get_datadir() try: calc_id = int(filename) except ValueError: filename = os.path.abspath(filename) datadir = os.path.dirname(filename) mo = re.match(CALC_REGEX, os.path.basename(filename)) if mo is None: raise ValueError('Cannot extract calc_id from %s' % filename) calc_id = int(mo.group(2)) return calc_id, datadir

python

def extract_calc_id_datadir(filename, datadir=None): """ Extract the calculation ID from the given filename or integer: >>> extract_calc_id_datadir('/mnt/ssd/oqdata/calc_25.hdf5') (25, '/mnt/ssd/oqdata') >>> extract_calc_id_datadir('/mnt/ssd/oqdata/wrong_name.hdf5') Traceback (most recent call last): ... ValueError: Cannot extract calc_id from /mnt/ssd/oqdata/wrong_name.hdf5 """ datadir = datadir or get_datadir() try: calc_id = int(filename) except ValueError: filename = os.path.abspath(filename) datadir = os.path.dirname(filename) mo = re.match(CALC_REGEX, os.path.basename(filename)) if mo is None: raise ValueError('Cannot extract calc_id from %s' % filename) calc_id = int(mo.group(2)) return calc_id, datadir

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Extract the calculation ID from the given filename or integer: >>> extract_calc_id_datadir('/mnt/ssd/oqdata/calc_25.hdf5') (25, '/mnt/ssd/oqdata') >>> extract_calc_id_datadir('/mnt/ssd/oqdata/wrong_name.hdf5') Traceback (most recent call last): ... ValueError: Cannot extract calc_id from /mnt/ssd/oqdata/wrong_name.hdf5

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train

https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/baselib/datastore.py#L87-L108

gwastro/pycbc

pycbc/workflow/configuration.py

WorkflowConfigParser.perform_exe_expansion

def perform_exe_expansion(self): """ This function will look through the executables section of the ConfigParser object and replace any values using macros with full paths. For any values that look like ${which:lalapps_tmpltbank} will be replaced with the equivalent of which(lalapps_tmpltbank) Otherwise values will be unchanged. """ # Only works on executables section if self.has_section('executables'): for option, value in self.items('executables'): # Check the value newStr = self.interpolate_exe(value) if newStr != value: self.set('executables', option, newStr)

python

def perform_exe_expansion(self): """ This function will look through the executables section of the ConfigParser object and replace any values using macros with full paths. For any values that look like ${which:lalapps_tmpltbank} will be replaced with the equivalent of which(lalapps_tmpltbank) Otherwise values will be unchanged. """ # Only works on executables section if self.has_section('executables'): for option, value in self.items('executables'): # Check the value newStr = self.interpolate_exe(value) if newStr != value: self.set('executables', option, newStr)

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This function will look through the executables section of the ConfigParser object and replace any values using macros with full paths. For any values that look like ${which:lalapps_tmpltbank} will be replaced with the equivalent of which(lalapps_tmpltbank) Otherwise values will be unchanged.

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train

https://github.com/gwastro/pycbc/blob/7a64cdd104d263f1b6ea0b01e6841837d05a4cb3/pycbc/workflow/configuration.py#L520-L539

miguelgrinberg/slam

slam/cli.py

on_unexpected_error

def on_unexpected_error(e): # pragma: no cover """Catch-all error handler Unexpected errors will be handled by this function. """ sys.stderr.write('Unexpected error: {} ({})\n'.format( str(e), e.__class__.__name__)) sys.stderr.write('See file slam_error.log for additional details.\n') sys.exit(1)

python

def on_unexpected_error(e): # pragma: no cover """Catch-all error handler Unexpected errors will be handled by this function. """ sys.stderr.write('Unexpected error: {} ({})\n'.format( str(e), e.__class__.__name__)) sys.stderr.write('See file slam_error.log for additional details.\n') sys.exit(1)

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Catch-all error handler Unexpected errors will be handled by this function.

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train

https://github.com/miguelgrinberg/slam/blob/cf68a4bbc16d909718f8a9e71072b822e0a3d94b/slam/cli.py#L60-L68

maartenbreddels/ipyvolume

ipyvolume/pylab.py

figure

def figure( key=None, width=400, height=500, lighting=True, controls=True, controls_vr=False, controls_light=False, debug=False, **kwargs ): """Create a new figure if no key is given, or return the figure associated with key. :param key: Python object that identifies this figure :param int width: pixel width of WebGL canvas :param int height: .. height .. :param bool lighting: use lighting or not :param bool controls: show controls or not :param bool controls_vr: show controls for VR or not :param bool debug: show debug buttons or not :return: :any:`Figure` """ if key is not None and key in current.figures: current.figure = current.figures[key] current.container = current.containers[key] elif isinstance(key, ipv.Figure) and key in current.figures.values(): key_index = list(current.figures.values()).index(key) key = list(current.figures.keys())[key_index] current.figure = current.figures[key] current.container = current.containers[key] else: current.figure = ipv.Figure(width=width, height=height, **kwargs) current.container = ipywidgets.VBox() current.container.children = [current.figure] if key is None: key = uuid.uuid4().hex current.figures[key] = current.figure current.containers[key] = current.container if controls: # stereo = ipywidgets.ToggleButton(value=current.figure.stereo, description='stereo', icon='eye') # l1 = ipywidgets.jslink((current.figure, 'stereo'), (stereo, 'value')) # current.container.children += (ipywidgets.HBox([stereo, ]),) pass # stereo and fullscreen are now include in the js code (per view) if controls_vr: eye_separation = ipywidgets.FloatSlider(value=current.figure.eye_separation, min=-10, max=10, icon='eye') ipywidgets.jslink((eye_separation, 'value'), (current.figure, 'eye_separation')) current.container.children += (eye_separation,) if controls_light: globals()['controls_light']() if debug: show = ipywidgets.ToggleButtons(options=["Volume", "Back", "Front", "Coordinate"]) current.container.children += (show,) # ipywidgets.jslink((current.figure, 'show'), (show, 'value')) traitlets.link((current.figure, 'show'), (show, 'value')) return current.figure

python

def figure( key=None, width=400, height=500, lighting=True, controls=True, controls_vr=False, controls_light=False, debug=False, **kwargs ): """Create a new figure if no key is given, or return the figure associated with key. :param key: Python object that identifies this figure :param int width: pixel width of WebGL canvas :param int height: .. height .. :param bool lighting: use lighting or not :param bool controls: show controls or not :param bool controls_vr: show controls for VR or not :param bool debug: show debug buttons or not :return: :any:`Figure` """ if key is not None and key in current.figures: current.figure = current.figures[key] current.container = current.containers[key] elif isinstance(key, ipv.Figure) and key in current.figures.values(): key_index = list(current.figures.values()).index(key) key = list(current.figures.keys())[key_index] current.figure = current.figures[key] current.container = current.containers[key] else: current.figure = ipv.Figure(width=width, height=height, **kwargs) current.container = ipywidgets.VBox() current.container.children = [current.figure] if key is None: key = uuid.uuid4().hex current.figures[key] = current.figure current.containers[key] = current.container if controls: # stereo = ipywidgets.ToggleButton(value=current.figure.stereo, description='stereo', icon='eye') # l1 = ipywidgets.jslink((current.figure, 'stereo'), (stereo, 'value')) # current.container.children += (ipywidgets.HBox([stereo, ]),) pass # stereo and fullscreen are now include in the js code (per view) if controls_vr: eye_separation = ipywidgets.FloatSlider(value=current.figure.eye_separation, min=-10, max=10, icon='eye') ipywidgets.jslink((eye_separation, 'value'), (current.figure, 'eye_separation')) current.container.children += (eye_separation,) if controls_light: globals()['controls_light']() if debug: show = ipywidgets.ToggleButtons(options=["Volume", "Back", "Front", "Coordinate"]) current.container.children += (show,) # ipywidgets.jslink((current.figure, 'show'), (show, 'value')) traitlets.link((current.figure, 'show'), (show, 'value')) return current.figure

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train

https://github.com/maartenbreddels/ipyvolume/blob/e68b72852b61276f8e6793bc8811f5b2432a155f/ipyvolume/pylab.py#L168-L222

wummel/linkchecker

third_party/dnspython/dns/tokenizer.py

Tokenizer.get_string

def get_string(self, origin=None): """Read the next token and interpret it as a string. @raises dns.exception.SyntaxError: @rtype: string """ token = self.get().unescape() if not (token.is_identifier() or token.is_quoted_string()): raise dns.exception.SyntaxError('expecting a string') return token.value

python

def get_string(self, origin=None): """Read the next token and interpret it as a string. @raises dns.exception.SyntaxError: @rtype: string """ token = self.get().unescape() if not (token.is_identifier() or token.is_quoted_string()): raise dns.exception.SyntaxError('expecting a string') return token.value

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Read the next token and interpret it as a string. @raises dns.exception.SyntaxError: @rtype: string

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train

https://github.com/wummel/linkchecker/blob/c2ce810c3fb00b895a841a7be6b2e78c64e7b042/third_party/dnspython/dns/tokenizer.py#L498-L508

saltstack/salt

salt/modules/pw_user.py

info

def info(name): ''' Return user information CLI Example: .. code-block:: bash salt '*' user.info root ''' ret = {} try: data = pwd.getpwnam(name) ret['gid'] = data.pw_gid ret['groups'] = list_groups(name) ret['home'] = data.pw_dir ret['name'] = data.pw_name ret['passwd'] = data.pw_passwd ret['shell'] = data.pw_shell ret['uid'] = data.pw_uid # Put GECOS info into a list gecos_field = data.pw_gecos.split(',', 3) # Assign empty strings for any unspecified GECOS fields while len(gecos_field) < 4: gecos_field.append('') ret['fullname'] = gecos_field[0] ret['roomnumber'] = gecos_field[1] ret['workphone'] = gecos_field[2] ret['homephone'] = gecos_field[3] except KeyError: return {} return ret

python

def info(name): ''' Return user information CLI Example: .. code-block:: bash salt '*' user.info root ''' ret = {} try: data = pwd.getpwnam(name) ret['gid'] = data.pw_gid ret['groups'] = list_groups(name) ret['home'] = data.pw_dir ret['name'] = data.pw_name ret['passwd'] = data.pw_passwd ret['shell'] = data.pw_shell ret['uid'] = data.pw_uid # Put GECOS info into a list gecos_field = data.pw_gecos.split(',', 3) # Assign empty strings for any unspecified GECOS fields while len(gecos_field) < 4: gecos_field.append('') ret['fullname'] = gecos_field[0] ret['roomnumber'] = gecos_field[1] ret['workphone'] = gecos_field[2] ret['homephone'] = gecos_field[3] except KeyError: return {} return ret

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Return user information CLI Example: .. code-block:: bash salt '*' user.info root

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train

https://github.com/saltstack/salt/blob/e8541fd6e744ab0df786c0f76102e41631f45d46/salt/modules/pw_user.py#L428-L459

GoogleCloudPlatform/compute-image-packages

packages/python-google-compute-engine/google_compute_engine/metadata_scripts/script_retriever.py

ScriptRetriever._DownloadAuthUrl

def _DownloadAuthUrl(self, url, dest_dir): """Download a Google Storage URL using an authentication token. If the token cannot be fetched, fallback to unauthenticated download. Args: url: string, the URL to download. dest_dir: string, the path to a directory for storing metadata scripts. Returns: string, the path to the file storing the metadata script. """ dest_file = tempfile.NamedTemporaryFile(dir=dest_dir, delete=False) dest_file.close() dest = dest_file.name self.logger.info( 'Downloading url from %s to %s using authentication token.', url, dest) if not self.token: response = self.watcher.GetMetadata( self.token_metadata_key, recursive=False, retry=False) if not response: self.logger.info( 'Authentication token not found. Attempting unauthenticated ' 'download.') return self._DownloadUrl(url, dest_dir) self.token = '%s %s' % ( response.get('token_type', ''), response.get('access_token', '')) try: request = urlrequest.Request(url) request.add_unredirected_header('Metadata-Flavor', 'Google') request.add_unredirected_header('Authorization', self.token) content = urlrequest.urlopen(request).read().decode('utf-8') except (httpclient.HTTPException, socket.error, urlerror.URLError) as e: self.logger.warning('Could not download %s. %s.', url, str(e)) return None with open(dest, 'wb') as f: f.write(content) return dest

python

def _DownloadAuthUrl(self, url, dest_dir): """Download a Google Storage URL using an authentication token. If the token cannot be fetched, fallback to unauthenticated download. Args: url: string, the URL to download. dest_dir: string, the path to a directory for storing metadata scripts. Returns: string, the path to the file storing the metadata script. """ dest_file = tempfile.NamedTemporaryFile(dir=dest_dir, delete=False) dest_file.close() dest = dest_file.name self.logger.info( 'Downloading url from %s to %s using authentication token.', url, dest) if not self.token: response = self.watcher.GetMetadata( self.token_metadata_key, recursive=False, retry=False) if not response: self.logger.info( 'Authentication token not found. Attempting unauthenticated ' 'download.') return self._DownloadUrl(url, dest_dir) self.token = '%s %s' % ( response.get('token_type', ''), response.get('access_token', '')) try: request = urlrequest.Request(url) request.add_unredirected_header('Metadata-Flavor', 'Google') request.add_unredirected_header('Authorization', self.token) content = urlrequest.urlopen(request).read().decode('utf-8') except (httpclient.HTTPException, socket.error, urlerror.URLError) as e: self.logger.warning('Could not download %s. %s.', url, str(e)) return None with open(dest, 'wb') as f: f.write(content) return dest

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train

https://github.com/GoogleCloudPlatform/compute-image-packages/blob/53ea8cd069fb4d9a1984d1c167e54c133033f8da/packages/python-google-compute-engine/google_compute_engine/metadata_scripts/script_retriever.py#L48-L92

Metatab/metapack

metapack/cli/metaaws.py

get_iam_account

def get_iam_account(l, args, user_name): """Return the local Account for a user name, by fetching User and looking up the arn. """ iam = get_resource(args, 'iam') user = iam.User(user_name) user.load() return l.find_or_new_account(user.arn)

python

def get_iam_account(l, args, user_name): """Return the local Account for a user name, by fetching User and looking up the arn. """ iam = get_resource(args, 'iam') user = iam.User(user_name) user.load() return l.find_or_new_account(user.arn)

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codelv/enaml-native-barcode

src/zxing/android/android_barcode.py

IntentIntegrator.scan

def scan(cls, formats=ALL_CODE_TYPES, camera=-1): """ Shortcut only one at a time will work... """ app = AndroidApplication.instance() r = app.create_future() #: Initiate a scan pkg = BarcodePackage.instance() pkg.setBarcodeResultListener(pkg.getId()) pkg.onBarcodeResult.connect(r.set_result) intent = cls(app) if formats: intent.setDesiredBarcodeFormats(formats) if camera != -1: intent.setCameraId(camera) intent.initiateScan() return r

python

def scan(cls, formats=ALL_CODE_TYPES, camera=-1): """ Shortcut only one at a time will work... """ app = AndroidApplication.instance() r = app.create_future() #: Initiate a scan pkg = BarcodePackage.instance() pkg.setBarcodeResultListener(pkg.getId()) pkg.onBarcodeResult.connect(r.set_result) intent = cls(app) if formats: intent.setDesiredBarcodeFormats(formats) if camera != -1: intent.setCameraId(camera) intent.initiateScan() return r

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Cognexa/cxflow

cxflow/utils/reflection.py

list_submodules

def list_submodules(module_name: str) -> List[str]: # pylint: disable=invalid-sequence-index """ List full names of all the submodules in the given module. :param module_name: name of the module of which the submodules will be listed """ _module = importlib.import_module(module_name) return [module_name+'.'+submodule_name for _, submodule_name, _ in pkgutil.iter_modules(_module.__path__)]

python

def list_submodules(module_name: str) -> List[str]: # pylint: disable=invalid-sequence-index """ List full names of all the submodules in the given module. :param module_name: name of the module of which the submodules will be listed """ _module = importlib.import_module(module_name) return [module_name+'.'+submodule_name for _, submodule_name, _ in pkgutil.iter_modules(_module.__path__)]

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novopl/peltak

src/peltak/extra/gitflow/logic/common.py

get_base_branch

def get_base_branch(): # type: () -> str """ Return the base branch for the current branch. This function will first try to guess the base branch and if it can't it will let the user choose the branch from the list of all local branches. Returns: str: The name of the branch the current branch is based on. """ base_branch = git.guess_base_branch() if base_branch is None: log.info("Can't guess the base branch, you have to pick one yourself:") base_branch = choose_branch() return base_branch

python

def get_base_branch(): # type: () -> str """ Return the base branch for the current branch. This function will first try to guess the base branch and if it can't it will let the user choose the branch from the list of all local branches. Returns: str: The name of the branch the current branch is based on. """ base_branch = git.guess_base_branch() if base_branch is None: log.info("Can't guess the base branch, you have to pick one yourself:") base_branch = choose_branch() return base_branch

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train

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wummel/linkchecker

linkcheck/configuration/confparse.py

LCConfigParser.read

def read (self, files): """Read settings from given config files. @raises: LinkCheckerError on syntax errors in the config file(s) """ assert isinstance(files, list), "Invalid file list %r" % files try: self.read_ok = super(LCConfigParser, self).read(files) if len(self.read_ok) < len(files): failed_files = set(files) - set(self.read_ok) log.warn(LOG_CHECK, "Could not read configuration files %s.", failed_files) # Read all the configuration parameters from the given files. self.read_checking_config() self.read_authentication_config() self.read_filtering_config() self.read_output_config() self.read_plugin_config() except Exception as msg: raise LinkCheckerError( _("Error parsing configuration: %s") % unicode(msg))

python

def read (self, files): """Read settings from given config files. @raises: LinkCheckerError on syntax errors in the config file(s) """ assert isinstance(files, list), "Invalid file list %r" % files try: self.read_ok = super(LCConfigParser, self).read(files) if len(self.read_ok) < len(files): failed_files = set(files) - set(self.read_ok) log.warn(LOG_CHECK, "Could not read configuration files %s.", failed_files) # Read all the configuration parameters from the given files. self.read_checking_config() self.read_authentication_config() self.read_filtering_config() self.read_output_config() self.read_plugin_config() except Exception as msg: raise LinkCheckerError( _("Error parsing configuration: %s") % unicode(msg))

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gem/oq-engine

openquake/calculators/ucerf_base.py

get_rupture_surface

def get_rupture_surface(mag, nodal_plane, hypocenter, msr, rupture_aspect_ratio, upper_seismogenic_depth, lower_seismogenic_depth, mesh_spacing=1.0): """ Create and return rupture surface object with given properties. :param mag: Magnitude value, used to calculate rupture dimensions, see :meth:`_get_rupture_dimensions`. :param nodal_plane: Instance of :class:`openquake.hazardlib.geo.nodalplane.NodalPlane` describing the rupture orientation. :param hypocenter: Point representing rupture's hypocenter. :returns: Instance of :class:`~openquake.hazardlib.geo.surface.planar.PlanarSurface`. """ assert (upper_seismogenic_depth <= hypocenter.depth and lower_seismogenic_depth >= hypocenter.depth) rdip = math.radians(nodal_plane.dip) # precalculated azimuth values for horizontal-only and vertical-only # moves from one point to another on the plane defined by strike # and dip: azimuth_right = nodal_plane.strike azimuth_down = (azimuth_right + 90) % 360 azimuth_left = (azimuth_down + 90) % 360 azimuth_up = (azimuth_left + 90) % 360 rup_length, rup_width = get_rupture_dimensions( mag, nodal_plane, msr, rupture_aspect_ratio, upper_seismogenic_depth, lower_seismogenic_depth) # calculate the height of the rupture being projected # on the vertical plane: rup_proj_height = rup_width * math.sin(rdip) # and it's width being projected on the horizontal one: rup_proj_width = rup_width * math.cos(rdip) # half height of the vertical component of rupture width # is the vertical distance between the rupture geometrical # center and it's upper and lower borders: hheight = rup_proj_height / 2 # calculate how much shallower the upper border of the rupture # is than the upper seismogenic depth: vshift = upper_seismogenic_depth - hypocenter.depth + hheight # if it is shallower (vshift > 0) than we need to move the rupture # by that value vertically. if vshift < 0: # the top edge is below upper seismogenic depth. now we need # to check that we do not cross the lower border. vshift = lower_seismogenic_depth - hypocenter.depth - hheight if vshift > 0: # the bottom edge of the rupture is above the lower sesmogenic # depth. that means that we don't need to move the rupture # as it fits inside seismogenic layer. vshift = 0 # if vshift < 0 than we need to move the rupture up by that value. # now we need to find the position of rupture's geometrical center. # in any case the hypocenter point must lie on the surface, however # the rupture center might be off (below or above) along the dip. rupture_center = hypocenter if vshift != 0: # we need to move the rupture center to make the rupture fit # inside the seismogenic layer. hshift = abs(vshift / math.tan(rdip)) rupture_center = rupture_center.point_at( horizontal_distance=hshift, vertical_increment=vshift, azimuth=(azimuth_up if vshift < 0 else azimuth_down)) # from the rupture center we can now compute the coordinates of the # four coorners by moving along the diagonals of the plane. This seems # to be better then moving along the perimeter, because in this case # errors are accumulated that induce distorsions in the shape with # consequent raise of exceptions when creating PlanarSurface objects # theta is the angle between the diagonal of the surface projection # and the line passing through the rupture center and parallel to the # top and bottom edges. Theta is zero for vertical ruptures (because # rup_proj_width is zero) theta = math.degrees( math.atan((rup_proj_width / 2.) / (rup_length / 2.))) hor_dist = math.sqrt( (rup_length / 2.) ** 2 + (rup_proj_width / 2.) ** 2) left_top = rupture_center.point_at( horizontal_distance=hor_dist, vertical_increment=-rup_proj_height / 2, azimuth=(nodal_plane.strike + 180 + theta) % 360) right_top = rupture_center.point_at( horizontal_distance=hor_dist, vertical_increment=-rup_proj_height / 2, azimuth=(nodal_plane.strike - theta) % 360) left_bottom = rupture_center.point_at( horizontal_distance=hor_dist, vertical_increment=rup_proj_height / 2, azimuth=(nodal_plane.strike + 180 - theta) % 360) right_bottom = rupture_center.point_at( horizontal_distance=hor_dist, vertical_increment=rup_proj_height / 2, azimuth=(nodal_plane.strike + theta) % 360) return PlanarSurface(nodal_plane.strike, nodal_plane.dip, left_top, right_top, right_bottom, left_bottom)

python

def get_rupture_surface(mag, nodal_plane, hypocenter, msr, rupture_aspect_ratio, upper_seismogenic_depth, lower_seismogenic_depth, mesh_spacing=1.0): """ Create and return rupture surface object with given properties. :param mag: Magnitude value, used to calculate rupture dimensions, see :meth:`_get_rupture_dimensions`. :param nodal_plane: Instance of :class:`openquake.hazardlib.geo.nodalplane.NodalPlane` describing the rupture orientation. :param hypocenter: Point representing rupture's hypocenter. :returns: Instance of :class:`~openquake.hazardlib.geo.surface.planar.PlanarSurface`. """ assert (upper_seismogenic_depth <= hypocenter.depth and lower_seismogenic_depth >= hypocenter.depth) rdip = math.radians(nodal_plane.dip) # precalculated azimuth values for horizontal-only and vertical-only # moves from one point to another on the plane defined by strike # and dip: azimuth_right = nodal_plane.strike azimuth_down = (azimuth_right + 90) % 360 azimuth_left = (azimuth_down + 90) % 360 azimuth_up = (azimuth_left + 90) % 360 rup_length, rup_width = get_rupture_dimensions( mag, nodal_plane, msr, rupture_aspect_ratio, upper_seismogenic_depth, lower_seismogenic_depth) # calculate the height of the rupture being projected # on the vertical plane: rup_proj_height = rup_width * math.sin(rdip) # and it's width being projected on the horizontal one: rup_proj_width = rup_width * math.cos(rdip) # half height of the vertical component of rupture width # is the vertical distance between the rupture geometrical # center and it's upper and lower borders: hheight = rup_proj_height / 2 # calculate how much shallower the upper border of the rupture # is than the upper seismogenic depth: vshift = upper_seismogenic_depth - hypocenter.depth + hheight # if it is shallower (vshift > 0) than we need to move the rupture # by that value vertically. if vshift < 0: # the top edge is below upper seismogenic depth. now we need # to check that we do not cross the lower border. vshift = lower_seismogenic_depth - hypocenter.depth - hheight if vshift > 0: # the bottom edge of the rupture is above the lower sesmogenic # depth. that means that we don't need to move the rupture # as it fits inside seismogenic layer. vshift = 0 # if vshift < 0 than we need to move the rupture up by that value. # now we need to find the position of rupture's geometrical center. # in any case the hypocenter point must lie on the surface, however # the rupture center might be off (below or above) along the dip. rupture_center = hypocenter if vshift != 0: # we need to move the rupture center to make the rupture fit # inside the seismogenic layer. hshift = abs(vshift / math.tan(rdip)) rupture_center = rupture_center.point_at( horizontal_distance=hshift, vertical_increment=vshift, azimuth=(azimuth_up if vshift < 0 else azimuth_down)) # from the rupture center we can now compute the coordinates of the # four coorners by moving along the diagonals of the plane. This seems # to be better then moving along the perimeter, because in this case # errors are accumulated that induce distorsions in the shape with # consequent raise of exceptions when creating PlanarSurface objects # theta is the angle between the diagonal of the surface projection # and the line passing through the rupture center and parallel to the # top and bottom edges. Theta is zero for vertical ruptures (because # rup_proj_width is zero) theta = math.degrees( math.atan((rup_proj_width / 2.) / (rup_length / 2.))) hor_dist = math.sqrt( (rup_length / 2.) ** 2 + (rup_proj_width / 2.) ** 2) left_top = rupture_center.point_at( horizontal_distance=hor_dist, vertical_increment=-rup_proj_height / 2, azimuth=(nodal_plane.strike + 180 + theta) % 360) right_top = rupture_center.point_at( horizontal_distance=hor_dist, vertical_increment=-rup_proj_height / 2, azimuth=(nodal_plane.strike - theta) % 360) left_bottom = rupture_center.point_at( horizontal_distance=hor_dist, vertical_increment=rup_proj_height / 2, azimuth=(nodal_plane.strike + 180 - theta) % 360) right_bottom = rupture_center.point_at( horizontal_distance=hor_dist, vertical_increment=rup_proj_height / 2, azimuth=(nodal_plane.strike + theta) % 360) return PlanarSurface(nodal_plane.strike, nodal_plane.dip, left_top, right_top, right_bottom, left_bottom)

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https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/calculators/ucerf_base.py#L492-L593

Yelp/detect-secrets

detect_secrets/core/secrets_collection.py

SecretsCollection.json

def json(self): """Custom JSON encoder""" output = {} for filename in self.data: output[filename] = [] for secret_hash in self.data[filename]: tmp = self.data[filename][secret_hash].json() del tmp['filename'] # Because filename will map to the secrets output[filename].append(tmp) return output

python

def json(self): """Custom JSON encoder""" output = {} for filename in self.data: output[filename] = [] for secret_hash in self.data[filename]: tmp = self.data[filename][secret_hash].json() del tmp['filename'] # Because filename will map to the secrets output[filename].append(tmp) return output

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spyder-ide/spyder

spyder/plugins/explorer/widgets.py

DirView.setup

def setup(self, name_filters=['*.py', '*.pyw'], show_all=False, single_click_to_open=False): """Setup tree widget""" self.setup_view() self.set_name_filters(name_filters) self.show_all = show_all self.single_click_to_open = single_click_to_open # Setup context menu self.menu = QMenu(self) self.common_actions = self.setup_common_actions()

python

def setup(self, name_filters=['*.py', '*.pyw'], show_all=False, single_click_to_open=False): """Setup tree widget""" self.setup_view() self.set_name_filters(name_filters) self.show_all = show_all self.single_click_to_open = single_click_to_open # Setup context menu self.menu = QMenu(self) self.common_actions = self.setup_common_actions()

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Setup tree widget

['Setup', 'tree', 'widget']

train

https://github.com/spyder-ide/spyder/blob/f76836ce1b924bcc4efd3f74f2960d26a4e528e0/spyder/plugins/explorer/widgets.py#L238-L249

caesar0301/relogger

relogger/syslog.py

HEADER.timestamp

def timestamp(self, value): """ The local time when the message was written. Must follow the format 'Mmm DD HH:MM:SS'. If the day of the month is less than 10, then it MUST be represented as a space and then the number. """ if not self._timestamp_is_valid(value): value = self._calculate_current_timestamp() self._timestamp = value

python

def timestamp(self, value): """ The local time when the message was written. Must follow the format 'Mmm DD HH:MM:SS'. If the day of the month is less than 10, then it MUST be represented as a space and then the number. """ if not self._timestamp_is_valid(value): value = self._calculate_current_timestamp() self._timestamp = value

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The local time when the message was written. Must follow the format 'Mmm DD HH:MM:SS'. If the day of the month is less than 10, then it MUST be represented as a space and then the number.

['The', 'local', 'time', 'when', 'the', 'message', 'was', 'written', '.']

train

https://github.com/caesar0301/relogger/blob/40b722ad2115ac6a179e2cc4eb0c88333f5114de/relogger/syslog.py#L118-L130

ArchiveTeam/wpull

wpull/writer.py

BaseFileWriterSession._process_file_continue_request

def _process_file_continue_request(self, request: BaseRequest): '''Modify the request to resume downloading file.''' if os.path.exists(self._filename): size = os.path.getsize(self._filename) request.set_continue(size) self._file_continue_requested = True _logger.debug('Continue file from {0}.', size) else: _logger.debug('No file to continue.')

python

def _process_file_continue_request(self, request: BaseRequest): '''Modify the request to resume downloading file.''' if os.path.exists(self._filename): size = os.path.getsize(self._filename) request.set_continue(size) self._file_continue_requested = True _logger.debug('Continue file from {0}.', size) else: _logger.debug('No file to continue.')

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Modify the request to resume downloading file.

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train

https://github.com/ArchiveTeam/wpull/blob/ddf051aa3322479325ba20aa778cb2cb97606bf5/wpull/writer.py#L189-L198

DerMitch/fritzbox-smarthome

fritzhome/actor.py

Actor.get_target_temperature

def get_target_temperature(self): """ Returns the actual target temperature. Attention: Returns None if the value can't be queried or is unknown. """ value = self.box.homeautoswitch("gethkrtsoll", self.actor_id) self.target_temperature = self.__get_temp(value) return self.target_temperature

python

def get_target_temperature(self): """ Returns the actual target temperature. Attention: Returns None if the value can't be queried or is unknown. """ value = self.box.homeautoswitch("gethkrtsoll", self.actor_id) self.target_temperature = self.__get_temp(value) return self.target_temperature

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Returns the actual target temperature. Attention: Returns None if the value can't be queried or is unknown.

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train

https://github.com/DerMitch/fritzbox-smarthome/blob/84cbd7c1b33e6256add041b0395ff5fccc01f103/fritzhome/actor.py#L125-L132

OSSOS/MOP

src/ossos/core/ossos/mop_file.py

MOPFile.filename

def filename(self): """ Name if the MOP formatted file to parse. @rtype: basestring @return: filename """ if self._filename is None: self._filename = storage.get_file(self.basename, self.ccd, ext=self.extension, version=self.type, prefix=self.prefix) return self._filename

python

def filename(self): """ Name if the MOP formatted file to parse. @rtype: basestring @return: filename """ if self._filename is None: self._filename = storage.get_file(self.basename, self.ccd, ext=self.extension, version=self.type, prefix=self.prefix) return self._filename

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Name if the MOP formatted file to parse. @rtype: basestring @return: filename

['Name', 'if', 'the', 'MOP', 'formatted', 'file', 'to', 'parse', '.']

train

https://github.com/OSSOS/MOP/blob/94f91d32ad5ec081d5a1ebd67604a838003465af/src/ossos/core/ossos/mop_file.py#L28-L40

nerdvegas/rez

src/rez/utils/filesystem.py

safe_chmod

def safe_chmod(path, mode): """Set the permissions mode on path, but only if it differs from the current mode. """ if stat.S_IMODE(os.stat(path).st_mode) != mode: os.chmod(path, mode)

python

def safe_chmod(path, mode): """Set the permissions mode on path, but only if it differs from the current mode. """ if stat.S_IMODE(os.stat(path).st_mode) != mode: os.chmod(path, mode)

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Set the permissions mode on path, but only if it differs from the current mode.

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train

https://github.com/nerdvegas/rez/blob/1d3b846d53b5b5404edfe8ddb9083f9ceec8c5e7/src/rez/utils/filesystem.py#L414-L418

google/fleetspeak

fleetspeak/src/server/grpcservice/client/client.py

OutgoingConnection._RetryLoop

def _RetryLoop(self, func, timeout=None): """Retries an operation until success or deadline. Args: func: The function to run. Must take a timeout, in seconds, as a single parameter. If it raises grpc.RpcError and deadline has not be reached, it will be run again. timeout: Retries will continue until timeout seconds have passed. """ timeout = timeout or self.DEFAULT_TIMEOUT deadline = time.time() + timeout sleep = 1 while True: try: return func(timeout) except grpc.RpcError: if time.time() + sleep > deadline: raise time.sleep(sleep) sleep *= 2 timeout = deadline - time.time()

python

def _RetryLoop(self, func, timeout=None): """Retries an operation until success or deadline. Args: func: The function to run. Must take a timeout, in seconds, as a single parameter. If it raises grpc.RpcError and deadline has not be reached, it will be run again. timeout: Retries will continue until timeout seconds have passed. """ timeout = timeout or self.DEFAULT_TIMEOUT deadline = time.time() + timeout sleep = 1 while True: try: return func(timeout) except grpc.RpcError: if time.time() + sleep > deadline: raise time.sleep(sleep) sleep *= 2 timeout = deadline - time.time()

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['Retries', 'an', 'operation', 'until', 'success', 'or', 'deadline', '.']

train

https://github.com/google/fleetspeak/blob/bc95dd6941494461d2e5dff0a7f4c78a07ff724d/fleetspeak/src/server/grpcservice/client/client.py#L150-L172

astrocatalogs/astrocats

astrocats/catalog/spectrum.py

Spectrum._check

def _check(self): """Check that spectrum has legal combination of attributes.""" # Run the super method super(Spectrum, self)._check() err_str = None has_data = self._KEYS.DATA in self has_wave = self._KEYS.WAVELENGTHS in self has_flux = self._KEYS.FLUXES in self has_filename = self._KEYS.FILENAME in self if not has_data: if (not has_wave or not has_flux) and not has_filename: err_str = ( "If `{}` not given".format(self._KEYS.DATA) + "; `{}` or `{}` needed".format( self._KEYS.WAVELENGTHS, self._KEYS.FLUXES)) if err_str is not None: raise ValueError(err_str) return

python

def _check(self): """Check that spectrum has legal combination of attributes.""" # Run the super method super(Spectrum, self)._check() err_str = None has_data = self._KEYS.DATA in self has_wave = self._KEYS.WAVELENGTHS in self has_flux = self._KEYS.FLUXES in self has_filename = self._KEYS.FILENAME in self if not has_data: if (not has_wave or not has_flux) and not has_filename: err_str = ( "If `{}` not given".format(self._KEYS.DATA) + "; `{}` or `{}` needed".format( self._KEYS.WAVELENGTHS, self._KEYS.FLUXES)) if err_str is not None: raise ValueError(err_str) return

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Check that spectrum has legal combination of attributes.

['Check', 'that', 'spectrum', 'has', 'legal', 'combination', 'of', 'attributes', '.']

train

https://github.com/astrocatalogs/astrocats/blob/11abc3131c6366ecd23964369e55ff264add7805/astrocats/catalog/spectrum.py#L112-L133

shichao-an/115wangpan

u115/api.py

File.reload

def reload(self): """ Reload file info and metadata * name * sha * pickcode """ res = self.api._req_file(self.fid) data = res['data'][0] self.name = data['file_name'] self.sha = data['sha1'] self.pickcode = data['pick_code']

python

def reload(self): """ Reload file info and metadata * name * sha * pickcode """ res = self.api._req_file(self.fid) data = res['data'][0] self.name = data['file_name'] self.sha = data['sha1'] self.pickcode = data['pick_code']

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Reload file info and metadata * name * sha * pickcode

['Reload', 'file', 'info', 'and', 'metadata']

train

https://github.com/shichao-an/115wangpan/blob/e7cc935313f675e886bceca831fcffcdedf1e880/u115/api.py#L1302-L1315

mitsei/dlkit

dlkit/json_/relationship/sessions.py

FamilyHierarchyDesignSession.add_root_family

def add_root_family(self, family_id): """Adds a root family. arg: family_id (osid.id.Id): the ``Id`` of a family raise: AlreadyExists - ``family_id`` is already in hierarchy raise: NotFound - ``family_id`` not found raise: NullArgument - ``family_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchyDesignSession.add_root_bin_template if self._catalog_session is not None: return self._catalog_session.add_root_catalog(catalog_id=family_id) return self._hierarchy_session.add_root(id_=family_id)

python

def add_root_family(self, family_id): """Adds a root family. arg: family_id (osid.id.Id): the ``Id`` of a family raise: AlreadyExists - ``family_id`` is already in hierarchy raise: NotFound - ``family_id`` not found raise: NullArgument - ``family_id`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinHierarchyDesignSession.add_root_bin_template if self._catalog_session is not None: return self._catalog_session.add_root_catalog(catalog_id=family_id) return self._hierarchy_session.add_root(id_=family_id)

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['Adds', 'a', 'root', 'family', '.']

train

https://github.com/mitsei/dlkit/blob/445f968a175d61c8d92c0f617a3c17dc1dc7c584/dlkit/json_/relationship/sessions.py#L2456-L2472

OCHA-DAP/hdx-python-api

src/hdx/data/hdxobject.py

HDXObject._read_from_hdx

def _read_from_hdx(self, object_type, value, fieldname='id', action=None, **kwargs): # type: (str, str, str, Optional[str], Any) -> Tuple[bool, Union[Dict, str]] """Makes a read call to HDX passing in given parameter. Args: object_type (str): Description of HDX object type (for messages) value (str): Value of HDX field fieldname (str): HDX field name. Defaults to id. action (Optional[str]): Replacement CKAN action url to use. Defaults to None. **kwargs: Other fields to pass to CKAN. Returns: Tuple[bool, Union[Dict, str]]: (True/False, HDX object metadata/Error) """ if not fieldname: raise HDXError('Empty %s field name!' % object_type) if action is None: action = self.actions()['show'] data = {fieldname: value} data.update(kwargs) try: result = self.configuration.call_remoteckan(action, data) return True, result except NotFound: return False, '%s=%s: not found!' % (fieldname, value) except Exception as e: raisefrom(HDXError, 'Failed when trying to read: %s=%s! (POST)' % (fieldname, value), e)

python

def _read_from_hdx(self, object_type, value, fieldname='id', action=None, **kwargs): # type: (str, str, str, Optional[str], Any) -> Tuple[bool, Union[Dict, str]] """Makes a read call to HDX passing in given parameter. Args: object_type (str): Description of HDX object type (for messages) value (str): Value of HDX field fieldname (str): HDX field name. Defaults to id. action (Optional[str]): Replacement CKAN action url to use. Defaults to None. **kwargs: Other fields to pass to CKAN. Returns: Tuple[bool, Union[Dict, str]]: (True/False, HDX object metadata/Error) """ if not fieldname: raise HDXError('Empty %s field name!' % object_type) if action is None: action = self.actions()['show'] data = {fieldname: value} data.update(kwargs) try: result = self.configuration.call_remoteckan(action, data) return True, result except NotFound: return False, '%s=%s: not found!' % (fieldname, value) except Exception as e: raisefrom(HDXError, 'Failed when trying to read: %s=%s! (POST)' % (fieldname, value), e)

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train

https://github.com/OCHA-DAP/hdx-python-api/blob/212440f54f73805826a16db77dbcb6033b18a313/src/hdx/data/hdxobject.py#L95-L122

InQuest/python-sandboxapi

sandboxapi/fireeye.py

FireEyeAPI.analyze

def analyze(self, handle, filename): """Submit a file for analysis. :type handle: File handle :param handle: Handle to file to upload for analysis. :type filename: str :param filename: File name. :rtype: str :return: File ID as a string """ # multipart post files. files = {"file": (filename, handle)} # ensure the handle is at offset 0. handle.seek(0) # add submission options data = { #FIXME: These may need to change, see docs page 36 'options': '{"application":"0","timeout":"500","priority":"0","profiles":["%s"],"analysistype":"0","force":"true","prefetch":"1"}' % self.profile, } response = self._request("/submissions", method='POST', params=data, files=files) try: if response.status_code == 200: # good response try: return response.json()['ID'] except TypeError: return response.json()[0]['ID'] else: raise sandboxapi.SandboxError("api error in analyze ({u}): {r}".format(u=response.url, r=response.content)) except (ValueError, KeyError) as e: raise sandboxapi.SandboxError("error in analyze: {e}".format(e=e))

python

def analyze(self, handle, filename): """Submit a file for analysis. :type handle: File handle :param handle: Handle to file to upload for analysis. :type filename: str :param filename: File name. :rtype: str :return: File ID as a string """ # multipart post files. files = {"file": (filename, handle)} # ensure the handle is at offset 0. handle.seek(0) # add submission options data = { #FIXME: These may need to change, see docs page 36 'options': '{"application":"0","timeout":"500","priority":"0","profiles":["%s"],"analysistype":"0","force":"true","prefetch":"1"}' % self.profile, } response = self._request("/submissions", method='POST', params=data, files=files) try: if response.status_code == 200: # good response try: return response.json()['ID'] except TypeError: return response.json()[0]['ID'] else: raise sandboxapi.SandboxError("api error in analyze ({u}): {r}".format(u=response.url, r=response.content)) except (ValueError, KeyError) as e: raise sandboxapi.SandboxError("error in analyze: {e}".format(e=e))

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Submit a file for analysis. :type handle: File handle :param handle: Handle to file to upload for analysis. :type filename: str :param filename: File name. :rtype: str :return: File ID as a string

['Submit', 'a', 'file', 'for', 'analysis', '.']

train

https://github.com/InQuest/python-sandboxapi/blob/9bad73f453e25d7d23e7b4b1ae927f44a35a5bc3/sandboxapi/fireeye.py#L79-L114

limodou/uliweb

uliweb/core/dispatch.py

bind

def bind(topic, signal=None, kind=MIDDLE, nice=-1): """ This is a decorator function, so you should use it as: @bind('init') def process_init(a, b): ... """ def f(func): if not topic in _receivers: receivers = _receivers[topic] = [] else: receivers = _receivers[topic] if nice == -1: if kind == MIDDLE: n = 500 elif kind == HIGH: n = 100 else: n = 900 else: n = nice if callable(func): func_name = func.__module__ + '.' + func.__name__ func = func else: func_name = func func = None _f = (n, {'func':func, 'signal':signal, 'func_name':func_name}) receivers.append(_f) return func return f

python

def bind(topic, signal=None, kind=MIDDLE, nice=-1): """ This is a decorator function, so you should use it as: @bind('init') def process_init(a, b): ... """ def f(func): if not topic in _receivers: receivers = _receivers[topic] = [] else: receivers = _receivers[topic] if nice == -1: if kind == MIDDLE: n = 500 elif kind == HIGH: n = 100 else: n = 900 else: n = nice if callable(func): func_name = func.__module__ + '.' + func.__name__ func = func else: func_name = func func = None _f = (n, {'func':func, 'signal':signal, 'func_name':func_name}) receivers.append(_f) return func return f

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This is a decorator function, so you should use it as: @bind('init') def process_init(a, b): ...

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train

https://github.com/limodou/uliweb/blob/34472f25e4bc0b954a35346672f94e84ef18b076/uliweb/core/dispatch.py#L20-L52

FNNDSC/med2image

med2image/error.py

fatal

def fatal( callingClass, astr_key, astr_extraMsg="" ): ''' Convenience dispatcher to the error_exit() method. Will raise "fatal" error, i.e. terminate script. ''' b_exitToOS = True report( callingClass, astr_key, b_exitToOS, astr_extraMsg )

python

def fatal( callingClass, astr_key, astr_extraMsg="" ): ''' Convenience dispatcher to the error_exit() method. Will raise "fatal" error, i.e. terminate script. ''' b_exitToOS = True report( callingClass, astr_key, b_exitToOS, astr_extraMsg )

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Convenience dispatcher to the error_exit() method. Will raise "fatal" error, i.e. terminate script.

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train

https://github.com/FNNDSC/med2image/blob/638d5d230de47608af20f9764acf8e382c2bf2ff/med2image/error.py#L76-L83

insightindustry/validator-collection

validator_collection/checkers.py

are_equivalent

def are_equivalent(*args, **kwargs): """Indicate if arguments passed to this function are equivalent. .. hint:: This checker operates recursively on the members contained within iterables and :class:`dict <python:dict>` objects. .. caution:: If you only pass one argument to this checker - even if it is an iterable - the checker will *always* return ``True``. To evaluate members of an iterable for equivalence, you should instead unpack the iterable into the function like so: .. code-block:: python obj = [1, 1, 1, 2] result = are_equivalent(*obj) # Will return ``False`` by unpacking and evaluating the iterable's members result = are_equivalent(obj) # Will always return True :param args: One or more values, passed as positional arguments. :returns: ``True`` if ``args`` are equivalent, and ``False`` if not. :rtype: :class:`bool <python:bool>` :raises SyntaxError: if ``kwargs`` contains duplicate keyword parameters or duplicates keyword parameters passed to the underlying validator """ if len(args) == 1: return True first_item = args[0] for item in args[1:]: if type(item) != type(first_item): # pylint: disable=C0123 return False if isinstance(item, dict): if not are_dicts_equivalent(item, first_item): return False elif hasattr(item, '__iter__') and not isinstance(item, (str, bytes, dict)): if len(item) != len(first_item): return False for value in item: if value not in first_item: return False for value in first_item: if value not in item: return False else: if item != first_item: return False return True

python

def are_equivalent(*args, **kwargs): """Indicate if arguments passed to this function are equivalent. .. hint:: This checker operates recursively on the members contained within iterables and :class:`dict <python:dict>` objects. .. caution:: If you only pass one argument to this checker - even if it is an iterable - the checker will *always* return ``True``. To evaluate members of an iterable for equivalence, you should instead unpack the iterable into the function like so: .. code-block:: python obj = [1, 1, 1, 2] result = are_equivalent(*obj) # Will return ``False`` by unpacking and evaluating the iterable's members result = are_equivalent(obj) # Will always return True :param args: One or more values, passed as positional arguments. :returns: ``True`` if ``args`` are equivalent, and ``False`` if not. :rtype: :class:`bool <python:bool>` :raises SyntaxError: if ``kwargs`` contains duplicate keyword parameters or duplicates keyword parameters passed to the underlying validator """ if len(args) == 1: return True first_item = args[0] for item in args[1:]: if type(item) != type(first_item): # pylint: disable=C0123 return False if isinstance(item, dict): if not are_dicts_equivalent(item, first_item): return False elif hasattr(item, '__iter__') and not isinstance(item, (str, bytes, dict)): if len(item) != len(first_item): return False for value in item: if value not in first_item: return False for value in first_item: if value not in item: return False else: if item != first_item: return False return True

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Indicate if arguments passed to this function are equivalent. .. hint:: This checker operates recursively on the members contained within iterables and :class:`dict <python:dict>` objects. .. caution:: If you only pass one argument to this checker - even if it is an iterable - the checker will *always* return ``True``. To evaluate members of an iterable for equivalence, you should instead unpack the iterable into the function like so: .. code-block:: python obj = [1, 1, 1, 2] result = are_equivalent(*obj) # Will return ``False`` by unpacking and evaluating the iterable's members result = are_equivalent(obj) # Will always return True :param args: One or more values, passed as positional arguments. :returns: ``True`` if ``args`` are equivalent, and ``False`` if not. :rtype: :class:`bool <python:bool>` :raises SyntaxError: if ``kwargs`` contains duplicate keyword parameters or duplicates keyword parameters passed to the underlying validator

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train

https://github.com/insightindustry/validator-collection/blob/8c8047a0fa36cc88a021771279898278c4cc98e3/validator_collection/checkers.py#L89-L148

nicolargo/glances

glances/plugins/glances_sensors.py

GlancesGrabSensors.get

def get(self, sensor_type='temperature_core'): """Get sensors list.""" self.__update__() if sensor_type == 'temperature_core': ret = [s for s in self.sensors_list if s['unit'] == SENSOR_TEMP_UNIT] elif sensor_type == 'fan_speed': ret = [s for s in self.sensors_list if s['unit'] == SENSOR_FAN_UNIT] else: # Unknown type logger.debug("Unknown sensor type %s" % sensor_type) ret = [] return ret

python

def get(self, sensor_type='temperature_core'): """Get sensors list.""" self.__update__() if sensor_type == 'temperature_core': ret = [s for s in self.sensors_list if s['unit'] == SENSOR_TEMP_UNIT] elif sensor_type == 'fan_speed': ret = [s for s in self.sensors_list if s['unit'] == SENSOR_FAN_UNIT] else: # Unknown type logger.debug("Unknown sensor type %s" % sensor_type) ret = [] return ret

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tuomas2/automate

src/automate/system.py

System.register_service

def register_service(self, service): """ Register service into the system. Called by Services. """ if service not in self.services: self.services.append(service)

python

def register_service(self, service): """ Register service into the system. Called by Services. """ if service not in self.services: self.services.append(service)

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Register service into the system. Called by Services.

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train

https://github.com/tuomas2/automate/blob/d8a8cd03cd0da047e033a2d305f3f260f8c4e017/src/automate/system.py#L376-L381

bwhite/hadoopy

hadoopy/thirdparty/pyinstaller/PyInstaller/lib/altgraph/Graph.py

Graph.get_hops

def get_hops(self, start, end=None, forward=True): """ Computes the hop distance to all nodes centered around a specified node. First order neighbours are at hop 1, their neigbours are at hop 2 etc. Uses :py:meth:`forw_bfs` or :py:meth:`back_bfs` depending on the value of the forward parameter. If the distance between all neighbouring nodes is 1 the hop number corresponds to the shortest distance between the nodes. :param start: the starting node :param end: ending node (optional). When not specified will search the whole graph. :param forward: directionality parameter (optional). If C{True} (default) it uses L{forw_bfs} otherwise L{back_bfs}. :return: returns a list of tuples where each tuple contains the node and the hop. Typical usage:: >>> print graph.get_hops(1, 8) >>> [(1, 0), (2, 1), (3, 1), (4, 2), (5, 3), (7, 4), (8, 5)] # node 1 is at 0 hops # node 2 is at 1 hop # ... # node 8 is at 5 hops """ if forward: return list(self._iterbfs(start=start, end=end, forward=True)) else: return list(self._iterbfs(start=start, end=end, forward=False))

python

def get_hops(self, start, end=None, forward=True): """ Computes the hop distance to all nodes centered around a specified node. First order neighbours are at hop 1, their neigbours are at hop 2 etc. Uses :py:meth:`forw_bfs` or :py:meth:`back_bfs` depending on the value of the forward parameter. If the distance between all neighbouring nodes is 1 the hop number corresponds to the shortest distance between the nodes. :param start: the starting node :param end: ending node (optional). When not specified will search the whole graph. :param forward: directionality parameter (optional). If C{True} (default) it uses L{forw_bfs} otherwise L{back_bfs}. :return: returns a list of tuples where each tuple contains the node and the hop. Typical usage:: >>> print graph.get_hops(1, 8) >>> [(1, 0), (2, 1), (3, 1), (4, 2), (5, 3), (7, 4), (8, 5)] # node 1 is at 0 hops # node 2 is at 1 hop # ... # node 8 is at 5 hops """ if forward: return list(self._iterbfs(start=start, end=end, forward=True)) else: return list(self._iterbfs(start=start, end=end, forward=False))

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train

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scnerd/miniutils

miniutils/progress_bar.py

iparallel_progbar

def iparallel_progbar(mapper, iterable, nprocs=None, starmap=False, flatmap=False, shuffle=False, verbose=True, verbose_flatmap=None, max_cache=-1, **kwargs): """Performs a parallel mapping of the given iterable, reporting a progress bar as values get returned. Yields objects as soon as they're computed, but does not guarantee that they'll be in the correct order. :param mapper: The mapping function to apply to elements of the iterable :param iterable: The iterable to map :param nprocs: The number of processes (defaults to the number of cpu's) :param starmap: If true, the iterable is expected to contain tuples and the mapper function gets each element of a tuple as an argument :param flatmap: If true, flatten out the returned values if the mapper function returns a list of objects :param shuffle: If true, randomly sort the elements before processing them. This might help provide more uniform runtimes if processing different objects takes different amounts of time. :param verbose: Whether or not to print the progress bar :param verbose_flatmap: If performing a flatmap, whether or not to report each object as it's returned :param max_cache: Maximum number of mapped objects to permit in the queue at once :param kwargs: Any other keyword arguments to pass to the progress bar (see ``progbar``) :return: A list of the returned objects, in whatever order they're done being computed """ results = _parallel_progbar_launch(mapper, iterable, nprocs, starmap, flatmap, shuffle, verbose, verbose_flatmap, max_cache, **kwargs) return (x for i, x in results)

python

def iparallel_progbar(mapper, iterable, nprocs=None, starmap=False, flatmap=False, shuffle=False, verbose=True, verbose_flatmap=None, max_cache=-1, **kwargs): """Performs a parallel mapping of the given iterable, reporting a progress bar as values get returned. Yields objects as soon as they're computed, but does not guarantee that they'll be in the correct order. :param mapper: The mapping function to apply to elements of the iterable :param iterable: The iterable to map :param nprocs: The number of processes (defaults to the number of cpu's) :param starmap: If true, the iterable is expected to contain tuples and the mapper function gets each element of a tuple as an argument :param flatmap: If true, flatten out the returned values if the mapper function returns a list of objects :param shuffle: If true, randomly sort the elements before processing them. This might help provide more uniform runtimes if processing different objects takes different amounts of time. :param verbose: Whether or not to print the progress bar :param verbose_flatmap: If performing a flatmap, whether or not to report each object as it's returned :param max_cache: Maximum number of mapped objects to permit in the queue at once :param kwargs: Any other keyword arguments to pass to the progress bar (see ``progbar``) :return: A list of the returned objects, in whatever order they're done being computed """ results = _parallel_progbar_launch(mapper, iterable, nprocs, starmap, flatmap, shuffle, verbose, verbose_flatmap, max_cache, **kwargs) return (x for i, x in results)

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train

https://github.com/scnerd/miniutils/blob/fe927e26afc5877416dead28dabdf6604387f42c/miniutils/progress_bar.py#L144-L166

CivicSpleen/ckcache

ckcache/filesystem.py

FsLimitedCache.get

def get(self, rel_path, cb=None): '''Return the file path referenced but rel_path, or None if it can't be found. If an upstream is declared, it will try to get the file from the upstream before declaring failure. ''' import shutil global_logger.debug( "LC {} get looking for {}".format( self.repo_id, rel_path)) path = os.path.join(self.cache_dir, rel_path) # If is already exists in the repo, just return it. if os.path.exists(path): if not os.path.isfile(path): raise ValueError("Path does not point to a file") global_logger.debug( "LC {} get {} found ".format( self.repo_id, path)) return path if not self.upstream: # If we don't have an upstream, then we are done. return None stream = self.upstream.get_stream(rel_path, cb=cb) if not stream: global_logger.debug( "LC {} get not found in upstream ()".format( self.repo_id, rel_path)) return None # Got a stream from upstream, so put the file in this cache. dirname = os.path.dirname(path) if not os.path.isdir(dirname): os.makedirs(dirname) # Copy the file from the lower cache into this cache. with open(path, 'w') as f: shutil.copyfileobj(stream, f) # Since we've added a file, must keep track of the sizes. size = os.path.getsize(path) self._free_up_space(size, this_rel_path=rel_path) self.add_record(rel_path, size) stream.close() if not os.path.exists(path): raise Exception("Failed to copy upstream data to {} ".format(path)) global_logger.debug( "LC {} got return from upstream {} -> {} ".format(self.repo_id, rel_path, path)) return path

python

def get(self, rel_path, cb=None): '''Return the file path referenced but rel_path, or None if it can't be found. If an upstream is declared, it will try to get the file from the upstream before declaring failure. ''' import shutil global_logger.debug( "LC {} get looking for {}".format( self.repo_id, rel_path)) path = os.path.join(self.cache_dir, rel_path) # If is already exists in the repo, just return it. if os.path.exists(path): if not os.path.isfile(path): raise ValueError("Path does not point to a file") global_logger.debug( "LC {} get {} found ".format( self.repo_id, path)) return path if not self.upstream: # If we don't have an upstream, then we are done. return None stream = self.upstream.get_stream(rel_path, cb=cb) if not stream: global_logger.debug( "LC {} get not found in upstream ()".format( self.repo_id, rel_path)) return None # Got a stream from upstream, so put the file in this cache. dirname = os.path.dirname(path) if not os.path.isdir(dirname): os.makedirs(dirname) # Copy the file from the lower cache into this cache. with open(path, 'w') as f: shutil.copyfileobj(stream, f) # Since we've added a file, must keep track of the sizes. size = os.path.getsize(path) self._free_up_space(size, this_rel_path=rel_path) self.add_record(rel_path, size) stream.close() if not os.path.exists(path): raise Exception("Failed to copy upstream data to {} ".format(path)) global_logger.debug( "LC {} got return from upstream {} -> {} ".format(self.repo_id, rel_path, path)) return path

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train

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openstack/networking-cisco

networking_cisco/apps/saf/server/services/firewall/native/fabric_setup_base.py

FabricBase.get_next_create_state

def get_next_create_state(self, state, ret): """Return the next create state from previous state. """ if ret: if state == fw_const.FABRIC_PREPARE_DONE_STATE: return state else: return state + 1 else: return state

python

def get_next_create_state(self, state, ret): """Return the next create state from previous state. """ if ret: if state == fw_const.FABRIC_PREPARE_DONE_STATE: return state else: return state + 1 else: return state

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Return the next create state from previous state.

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train

https://github.com/openstack/networking-cisco/blob/aa58a30aec25b86f9aa5952b0863045975debfa9/networking_cisco/apps/saf/server/services/firewall/native/fabric_setup_base.py#L1463-L1471

metavee/batchproc

batchproc/core.py

BatchProcessor.load_tasks

def load_tasks(self, cmd, params, args): """implements loader interface, return (tasks, config)""" return generate_tasks('taskname that shows up in log', self._gen_tasks()), self.DOIT_CONFIG

python

def load_tasks(self, cmd, params, args): """implements loader interface, return (tasks, config)""" return generate_tasks('taskname that shows up in log', self._gen_tasks()), self.DOIT_CONFIG

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train

https://github.com/metavee/batchproc/blob/aa084a2ac8ab7950f7a7d3adb54b0cf010c6a935/batchproc/core.py#L100-L102

crytic/slither

slither/core/declarations/function.py

Function.functions_shadowed

def functions_shadowed(self): ''' Return the list of functions shadowed Returns: list(core.Function) ''' candidates = [c.functions_not_inherited for c in self.contract.inheritance] candidates = [candidate for sublist in candidates for candidate in sublist] return [f for f in candidates if f.full_name == self.full_name]

python

def functions_shadowed(self): ''' Return the list of functions shadowed Returns: list(core.Function) ''' candidates = [c.functions_not_inherited for c in self.contract.inheritance] candidates = [candidate for sublist in candidates for candidate in sublist] return [f for f in candidates if f.full_name == self.full_name]

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train

https://github.com/crytic/slither/blob/04c147f7e50223c6af458ca430befae747ccd259/slither/core/declarations/function.py#L553-L562

Kozea/pygal

pygal/graph/radar.py

Radar._set_view

def _set_view(self): """Assign a view to current graph""" if self.logarithmic: view_class = PolarLogView else: view_class = PolarView self.view = view_class( self.width - self.margin_box.x, self.height - self.margin_box.y, self._box )

python

def _set_view(self): """Assign a view to current graph""" if self.logarithmic: view_class = PolarLogView else: view_class = PolarView self.view = view_class( self.width - self.margin_box.x, self.height - self.margin_box.y, self._box )

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train

https://github.com/Kozea/pygal/blob/5e25c98a59a0642eecd9fcc5dbfeeb2190fbb5e7/pygal/graph/radar.py#L59-L69

MartinThoma/hwrt

hwrt/segmentation/segmentation.py

get_bb_intersections

def get_bb_intersections(recording): """ Get all intersections of the bounding boxes of strokes. Parameters ---------- recording : list of lists of integers Returns ------- A symmetrical matrix which indicates if two bounding boxes intersect. """ intersections = numpy.zeros((len(recording), len(recording)), dtype=bool) for i in range(len(recording)-1): a = geometry.get_bounding_box(recording[i]).grow(0.2) for j in range(i+1, len(recording)): b = geometry.get_bounding_box(recording[j]).grow(0.2) intersections[i][j] = geometry.do_bb_intersect(a, b) intersections[j][i] = intersections[i][j] return intersections

python

def get_bb_intersections(recording): """ Get all intersections of the bounding boxes of strokes. Parameters ---------- recording : list of lists of integers Returns ------- A symmetrical matrix which indicates if two bounding boxes intersect. """ intersections = numpy.zeros((len(recording), len(recording)), dtype=bool) for i in range(len(recording)-1): a = geometry.get_bounding_box(recording[i]).grow(0.2) for j in range(i+1, len(recording)): b = geometry.get_bounding_box(recording[j]).grow(0.2) intersections[i][j] = geometry.do_bb_intersect(a, b) intersections[j][i] = intersections[i][j] return intersections

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train

https://github.com/MartinThoma/hwrt/blob/725c21a3d0f5a30b8492cbc184b3688ceb364e1c/hwrt/segmentation/segmentation.py#L1006-L1026

iotile/coretools

iotilebuild/iotile/build/config/scons-local-3.0.1/SCons/Node/FS.py

Entry.get_text_contents

def get_text_contents(self): """Fetch the decoded text contents of a Unicode encoded Entry. Since this should return the text contents from the file system, we check to see into what sort of subclass we should morph this Entry.""" try: self = self.disambiguate(must_exist=1) except SCons.Errors.UserError: # There was nothing on disk with which to disambiguate # this entry. Leave it as an Entry, but return a null # string so calls to get_text_contents() in emitters and # the like (e.g. in qt.py) don't have to disambiguate by # hand or catch the exception. return '' else: return self.get_text_contents()

python

def get_text_contents(self): """Fetch the decoded text contents of a Unicode encoded Entry. Since this should return the text contents from the file system, we check to see into what sort of subclass we should morph this Entry.""" try: self = self.disambiguate(must_exist=1) except SCons.Errors.UserError: # There was nothing on disk with which to disambiguate # this entry. Leave it as an Entry, but return a null # string so calls to get_text_contents() in emitters and # the like (e.g. in qt.py) don't have to disambiguate by # hand or catch the exception. return '' else: return self.get_text_contents()

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train

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mitsei/dlkit

dlkit/json_/repository/sessions.py

RepositoryQuerySession.get_repositories_by_query

def get_repositories_by_query(self, repository_query): """Gets a list of ``Repositories`` matching the given repository query. arg: repository_query (osid.repository.RepositoryQuery): the repository query return: (osid.repository.RepositoryList) - the returned ``RepositoryList`` raise: NullArgument - ``repository_query`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure raise: Unsupported - ``repository_query`` is not of this service *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinQuerySession.get_bins_by_query_template if self._catalog_session is not None: return self._catalog_session.get_catalogs_by_query(repository_query) query_terms = dict(repository_query._query_terms) collection = JSONClientValidated('repository', collection='Repository', runtime=self._runtime) result = collection.find(query_terms).sort('_id', DESCENDING) return objects.RepositoryList(result, runtime=self._runtime)

python

def get_repositories_by_query(self, repository_query): """Gets a list of ``Repositories`` matching the given repository query. arg: repository_query (osid.repository.RepositoryQuery): the repository query return: (osid.repository.RepositoryList) - the returned ``RepositoryList`` raise: NullArgument - ``repository_query`` is ``null`` raise: OperationFailed - unable to complete request raise: PermissionDenied - authorization failure raise: Unsupported - ``repository_query`` is not of this service *compliance: mandatory -- This method must be implemented.* """ # Implemented from template for # osid.resource.BinQuerySession.get_bins_by_query_template if self._catalog_session is not None: return self._catalog_session.get_catalogs_by_query(repository_query) query_terms = dict(repository_query._query_terms) collection = JSONClientValidated('repository', collection='Repository', runtime=self._runtime) result = collection.find(query_terms).sort('_id', DESCENDING) return objects.RepositoryList(result, runtime=self._runtime)

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train

https://github.com/mitsei/dlkit/blob/445f968a175d61c8d92c0f617a3c17dc1dc7c584/dlkit/json_/repository/sessions.py#L4903-L4928

RudolfCardinal/pythonlib

cardinal_pythonlib/modules.py

contains_c_extension

def contains_c_extension(module: ModuleType, import_all_submodules: bool = True, include_external_imports: bool = False, seen: List[ModuleType] = None) -> bool: """ Extends :func:`is_c_extension` by asking: is this module, or any of its submodules, a C extension? Args: module: Previously imported module object to be tested. import_all_submodules: explicitly import all submodules of this module? include_external_imports: check modules in other packages that this module imports? seen: used internally for recursion (to deal with recursive modules); should be ``None`` when called by users Returns: bool: ``True`` only if this module or one of its submodules is a C extension. Examples: .. code-block:: python import logging from cardinal_pythonlib.modules import contains_c_extension from cardinal_pythonlib.logs import main_only_quicksetup_rootlogger import _elementtree as et import os import arrow import alembic import django import numpy import numpy.core.multiarray as numpy_multiarray log = logging.getLogger(__name__) # logging.basicConfig(level=logging.DEBUG) # be verbose main_only_quicksetup_rootlogger(level=logging.DEBUG) contains_c_extension(os) # False contains_c_extension(et) # False contains_c_extension(numpy) # True -- different from is_c_extension() contains_c_extension(numpy_multiarray) # True contains_c_extension(arrow) # False contains_c_extension(alembic) # False contains_c_extension(alembic, include_external_imports=True) # True # ... this example shows that Alembic imports hashlib, which can import # _hashlib, which is a C extension; however, that doesn't stop us (for # example) installing Alembic on a machine with no C compiler contains_c_extension(django) """ # noqa assert inspect.ismodule(module), '"{}" not a module.'.format(module) if seen is None: # only true for the top-level call seen = [] # type: List[ModuleType] if module in seen: # modules can "contain" themselves # already inspected; avoid infinite loops return False seen.append(module) # Check the thing we were asked about is_c_ext = is_c_extension(module) log.info("Is module {!r} a C extension? {}", module, is_c_ext) if is_c_ext: return True if is_builtin_module(module): # built-in, therefore we stop searching it return False # Now check any children, in a couple of ways top_level_module = seen[0] top_path = os.path.dirname(top_level_module.__file__) # Recurse using dir(). This picks up modules that are automatically # imported by our top-level model. But it won't pick up all submodules; # try e.g. for django. for candidate_name in dir(module): candidate = getattr(module, candidate_name) # noinspection PyBroadException try: if not inspect.ismodule(candidate): # not a module continue except Exception: # e.g. a Django module that won't import until we configure its # settings log.error("Failed to test ismodule() status of {!r}", candidate) continue if is_builtin_module(candidate): # built-in, therefore we stop searching it continue candidate_fname = getattr(candidate, "__file__") if not include_external_imports: if os.path.commonpath([top_path, candidate_fname]) != top_path: log.debug("Skipping, not within the top-level module's " "directory: {!r}", candidate) continue # Recurse: if contains_c_extension( module=candidate, import_all_submodules=False, # only done at the top level, below # noqa include_external_imports=include_external_imports, seen=seen): return True if import_all_submodules: if not is_module_a_package(module): log.debug("Top-level module is not a package: {!r}", module) return False # Otherwise, for things like Django, we need to recurse in a different # way to scan everything. # See https://stackoverflow.com/questions/3365740/how-to-import-all-submodules. # noqa log.debug("Walking path: {!r}", top_path) # noinspection PyBroadException try: for loader, module_name, is_pkg in pkgutil.walk_packages([top_path]): # noqa if not is_pkg: log.debug("Skipping, not a package: {!r}", module_name) continue log.debug("Manually importing: {!r}", module_name) # noinspection PyBroadException try: candidate = loader.find_module(module_name)\ .load_module(module_name) # noqa except Exception: # e.g. Alembic "autogenerate" gives: "ValueError: attempted # relative import beyond top-level package"; or Django # "django.core.exceptions.ImproperlyConfigured" log.error("Package failed to import: {!r}", module_name) continue if contains_c_extension( module=candidate, import_all_submodules=False, # only done at the top level # noqa include_external_imports=include_external_imports, seen=seen): return True except Exception: log.error("Unable to walk packages further; no C extensions " "detected so far!") raise return False

python

def contains_c_extension(module: ModuleType, import_all_submodules: bool = True, include_external_imports: bool = False, seen: List[ModuleType] = None) -> bool: """ Extends :func:`is_c_extension` by asking: is this module, or any of its submodules, a C extension? Args: module: Previously imported module object to be tested. import_all_submodules: explicitly import all submodules of this module? include_external_imports: check modules in other packages that this module imports? seen: used internally for recursion (to deal with recursive modules); should be ``None`` when called by users Returns: bool: ``True`` only if this module or one of its submodules is a C extension. Examples: .. code-block:: python import logging from cardinal_pythonlib.modules import contains_c_extension from cardinal_pythonlib.logs import main_only_quicksetup_rootlogger import _elementtree as et import os import arrow import alembic import django import numpy import numpy.core.multiarray as numpy_multiarray log = logging.getLogger(__name__) # logging.basicConfig(level=logging.DEBUG) # be verbose main_only_quicksetup_rootlogger(level=logging.DEBUG) contains_c_extension(os) # False contains_c_extension(et) # False contains_c_extension(numpy) # True -- different from is_c_extension() contains_c_extension(numpy_multiarray) # True contains_c_extension(arrow) # False contains_c_extension(alembic) # False contains_c_extension(alembic, include_external_imports=True) # True # ... this example shows that Alembic imports hashlib, which can import # _hashlib, which is a C extension; however, that doesn't stop us (for # example) installing Alembic on a machine with no C compiler contains_c_extension(django) """ # noqa assert inspect.ismodule(module), '"{}" not a module.'.format(module) if seen is None: # only true for the top-level call seen = [] # type: List[ModuleType] if module in seen: # modules can "contain" themselves # already inspected; avoid infinite loops return False seen.append(module) # Check the thing we were asked about is_c_ext = is_c_extension(module) log.info("Is module {!r} a C extension? {}", module, is_c_ext) if is_c_ext: return True if is_builtin_module(module): # built-in, therefore we stop searching it return False # Now check any children, in a couple of ways top_level_module = seen[0] top_path = os.path.dirname(top_level_module.__file__) # Recurse using dir(). This picks up modules that are automatically # imported by our top-level model. But it won't pick up all submodules; # try e.g. for django. for candidate_name in dir(module): candidate = getattr(module, candidate_name) # noinspection PyBroadException try: if not inspect.ismodule(candidate): # not a module continue except Exception: # e.g. a Django module that won't import until we configure its # settings log.error("Failed to test ismodule() status of {!r}", candidate) continue if is_builtin_module(candidate): # built-in, therefore we stop searching it continue candidate_fname = getattr(candidate, "__file__") if not include_external_imports: if os.path.commonpath([top_path, candidate_fname]) != top_path: log.debug("Skipping, not within the top-level module's " "directory: {!r}", candidate) continue # Recurse: if contains_c_extension( module=candidate, import_all_submodules=False, # only done at the top level, below # noqa include_external_imports=include_external_imports, seen=seen): return True if import_all_submodules: if not is_module_a_package(module): log.debug("Top-level module is not a package: {!r}", module) return False # Otherwise, for things like Django, we need to recurse in a different # way to scan everything. # See https://stackoverflow.com/questions/3365740/how-to-import-all-submodules. # noqa log.debug("Walking path: {!r}", top_path) # noinspection PyBroadException try: for loader, module_name, is_pkg in pkgutil.walk_packages([top_path]): # noqa if not is_pkg: log.debug("Skipping, not a package: {!r}", module_name) continue log.debug("Manually importing: {!r}", module_name) # noinspection PyBroadException try: candidate = loader.find_module(module_name)\ .load_module(module_name) # noqa except Exception: # e.g. Alembic "autogenerate" gives: "ValueError: attempted # relative import beyond top-level package"; or Django # "django.core.exceptions.ImproperlyConfigured" log.error("Package failed to import: {!r}", module_name) continue if contains_c_extension( module=candidate, import_all_submodules=False, # only done at the top level # noqa include_external_imports=include_external_imports, seen=seen): return True except Exception: log.error("Unable to walk packages further; no C extensions " "detected so far!") raise return False

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train

https://github.com/RudolfCardinal/pythonlib/blob/0b84cb35f38bd7d8723958dae51b480a829b7227/cardinal_pythonlib/modules.py#L157-L308

trombastic/PyScada

pyscada/utils/scheduler.py

Scheduler.stop

def stop(self, sig=signal.SIGTERM): """ stop the scheduler and stop all processes """ if self.pid is None: self.pid = self.read_pid() if self.pid is None: sp = BackgroundProcess.objects.filter(pk=1).first() if sp: self.pid = sp.pid if self.pid is None or self.pid == 0: logger.error("can't determine process id exiting.") return False if self.pid != getpid(): # calling from outside the daemon instance logger.debug('send sigterm to daemon') try: kill(self.pid, sig) return True except OSError as e: if e.errno == errno.ESRCH: return False else: return False logger.debug('start termination of the daemon') BackgroundProcess.objects.filter(pk=self.process_id).update( last_update=now(), message='stopping..') timeout = time() + 60 # wait max 60 seconds self.kill_processes(signal.SIGTERM) while self.PROCESSES and time() < timeout: self.kill_processes(signal.SIGTERM) sleep(1) self.kill_processes(signal.SIGKILL) BackgroundProcess.objects.filter(pk=self.process_id).update( last_update=now(), message='stopped') logger.debug('termination of the daemon done') return True

python

def stop(self, sig=signal.SIGTERM): """ stop the scheduler and stop all processes """ if self.pid is None: self.pid = self.read_pid() if self.pid is None: sp = BackgroundProcess.objects.filter(pk=1).first() if sp: self.pid = sp.pid if self.pid is None or self.pid == 0: logger.error("can't determine process id exiting.") return False if self.pid != getpid(): # calling from outside the daemon instance logger.debug('send sigterm to daemon') try: kill(self.pid, sig) return True except OSError as e: if e.errno == errno.ESRCH: return False else: return False logger.debug('start termination of the daemon') BackgroundProcess.objects.filter(pk=self.process_id).update( last_update=now(), message='stopping..') timeout = time() + 60 # wait max 60 seconds self.kill_processes(signal.SIGTERM) while self.PROCESSES and time() < timeout: self.kill_processes(signal.SIGTERM) sleep(1) self.kill_processes(signal.SIGKILL) BackgroundProcess.objects.filter(pk=self.process_id).update( last_update=now(), message='stopped') logger.debug('termination of the daemon done') return True

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train

https://github.com/trombastic/PyScada/blob/c5fc348a25f0df1340336f694ee9bc1aea62516a/pyscada/utils/scheduler.py#L443-L484

BerkeleyAutomation/perception

perception/image.py

ColorImage.foreground_mask

def foreground_mask( self, tolerance, ignore_black=True, use_hsv=False, scale=8, bgmodel=None): """Creates a binary image mask for the foreground of an image against a uniformly colored background. The background is assumed to be the mode value of the histogram for each of the color channels. Parameters ---------- tolerance : int A +/- level from the detected mean backgroud color. Pixels withing this range will be classified as background pixels and masked out. ignore_black : bool If True, the zero pixels will be ignored when computing the background model. use_hsv : bool If True, image will be converted to HSV for background model generation. scale : int Size of background histogram bins -- there will be BINARY_IM_MAX_VAL/size bins in the color histogram for each channel. bgmodel : :obj:`list` of int A list containing the red, green, and blue channel modes of the background. If this is None, a background model will be generated using the other parameters. Returns ------- :obj:`BinaryImage` A binary image that masks out the background from the current ColorImage. """ # get a background model if bgmodel is None: bgmodel = self.background_model(ignore_black=ignore_black, use_hsv=use_hsv, scale=scale) # get the bounds lower_bound = np.array( [bgmodel[i] - tolerance for i in range(self.channels)]) upper_bound = np.array( [bgmodel[i] + tolerance for i in range(self.channels)]) orig_zero_indices = np.where(np.sum(self._data, axis=2) == 0) # threshold binary_data = cv2.inRange(self.data, lower_bound, upper_bound) binary_data[:, :, ] = (BINARY_IM_MAX_VAL - binary_data[:, :, ]) binary_data[orig_zero_indices[0], orig_zero_indices[1], ] = 0.0 binary_im = BinaryImage(binary_data.astype(np.uint8), frame=self.frame) return binary_im

python

def foreground_mask( self, tolerance, ignore_black=True, use_hsv=False, scale=8, bgmodel=None): """Creates a binary image mask for the foreground of an image against a uniformly colored background. The background is assumed to be the mode value of the histogram for each of the color channels. Parameters ---------- tolerance : int A +/- level from the detected mean backgroud color. Pixels withing this range will be classified as background pixels and masked out. ignore_black : bool If True, the zero pixels will be ignored when computing the background model. use_hsv : bool If True, image will be converted to HSV for background model generation. scale : int Size of background histogram bins -- there will be BINARY_IM_MAX_VAL/size bins in the color histogram for each channel. bgmodel : :obj:`list` of int A list containing the red, green, and blue channel modes of the background. If this is None, a background model will be generated using the other parameters. Returns ------- :obj:`BinaryImage` A binary image that masks out the background from the current ColorImage. """ # get a background model if bgmodel is None: bgmodel = self.background_model(ignore_black=ignore_black, use_hsv=use_hsv, scale=scale) # get the bounds lower_bound = np.array( [bgmodel[i] - tolerance for i in range(self.channels)]) upper_bound = np.array( [bgmodel[i] + tolerance for i in range(self.channels)]) orig_zero_indices = np.where(np.sum(self._data, axis=2) == 0) # threshold binary_data = cv2.inRange(self.data, lower_bound, upper_bound) binary_data[:, :, ] = (BINARY_IM_MAX_VAL - binary_data[:, :, ]) binary_data[orig_zero_indices[0], orig_zero_indices[1], ] = 0.0 binary_im = BinaryImage(binary_data.astype(np.uint8), frame=self.frame) return binary_im

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train

https://github.com/BerkeleyAutomation/perception/blob/03d9b37dd6b66896cdfe173905c9413c8c3c5df6/perception/image.py#L1147-L1205

GoogleCloudPlatform/appengine-pipelines

python/src/pipeline/pipeline.py

Pipeline._callback_internal

def _callback_internal(self, kwargs): """Used to execute callbacks on asynchronous pipelines.""" logging.debug('Callback %s(*%s, **%s)#%s with params: %r', self._class_path, _short_repr(self.args), _short_repr(self.kwargs), self._pipeline_key.name(), kwargs) return self.callback(**kwargs)

python

def _callback_internal(self, kwargs): """Used to execute callbacks on asynchronous pipelines.""" logging.debug('Callback %s(*%s, **%s)#%s with params: %r', self._class_path, _short_repr(self.args), _short_repr(self.kwargs), self._pipeline_key.name(), kwargs) return self.callback(**kwargs)

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Used to execute callbacks on asynchronous pipelines.

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train

https://github.com/GoogleCloudPlatform/appengine-pipelines/blob/277394648dac3e8214677af898935d07399ac8e1/python/src/pipeline/pipeline.py#L1091-L1096

totalgood/pugnlp

src/pugnlp/util.py

normalize_scientific_notation

def normalize_scientific_notation(s, ignore_commas=True, verbosity=1): """Produce a string convertable with float(s), if possible, fixing some common scientific notations Deletes commas and allows addition. >>> normalize_scientific_notation(' -123 x 10^-45 ') '-123e-45' >>> normalize_scientific_notation(' -1+1,234 x 10^-5,678 ') '1233e-5678' >>> normalize_scientific_notation('$42.42') '42.42' """ s = s.lstrip(charlist.not_digits_nor_sign) s = s.rstrip(charlist.not_digits) # print s # TODO: substitute ** for ^ and just eval the expression rather than insisting on a base-10 representation num_strings = rex.scientific_notation_exponent.split(s, maxsplit=2) # print num_strings # get rid of commas s = rex.re.sub(r"[^.0-9-+" + "," * int(not ignore_commas) + r"]+", '', num_strings[0]) # print s # if this value gets so large that it requires an exponential notation, this will break the conversion if not s: return None try: s = str(eval(s.strip().lstrip('0'))) except (IndexError, ValueError, AttributeError, TypeError): if verbosity > 1: print('Unable to evaluate %s' % repr(s)) try: s = str(float(s)) except (IndexError, ValueError, AttributeError, TypeError): print('Unable to float %s' % repr(s)) s = '' # print s if len(num_strings) > 1: if not s: s = '1' s += 'e' + rex.re.sub(r'[^.0-9-+]+', '', num_strings[1]) if s: return s return None

python

def normalize_scientific_notation(s, ignore_commas=True, verbosity=1): """Produce a string convertable with float(s), if possible, fixing some common scientific notations Deletes commas and allows addition. >>> normalize_scientific_notation(' -123 x 10^-45 ') '-123e-45' >>> normalize_scientific_notation(' -1+1,234 x 10^-5,678 ') '1233e-5678' >>> normalize_scientific_notation('$42.42') '42.42' """ s = s.lstrip(charlist.not_digits_nor_sign) s = s.rstrip(charlist.not_digits) # print s # TODO: substitute ** for ^ and just eval the expression rather than insisting on a base-10 representation num_strings = rex.scientific_notation_exponent.split(s, maxsplit=2) # print num_strings # get rid of commas s = rex.re.sub(r"[^.0-9-+" + "," * int(not ignore_commas) + r"]+", '', num_strings[0]) # print s # if this value gets so large that it requires an exponential notation, this will break the conversion if not s: return None try: s = str(eval(s.strip().lstrip('0'))) except (IndexError, ValueError, AttributeError, TypeError): if verbosity > 1: print('Unable to evaluate %s' % repr(s)) try: s = str(float(s)) except (IndexError, ValueError, AttributeError, TypeError): print('Unable to float %s' % repr(s)) s = '' # print s if len(num_strings) > 1: if not s: s = '1' s += 'e' + rex.re.sub(r'[^.0-9-+]+', '', num_strings[1]) if s: return s return None

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Produce a string convertable with float(s), if possible, fixing some common scientific notations Deletes commas and allows addition. >>> normalize_scientific_notation(' -123 x 10^-45 ') '-123e-45' >>> normalize_scientific_notation(' -1+1,234 x 10^-5,678 ') '1233e-5678' >>> normalize_scientific_notation('$42.42') '42.42'

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train

https://github.com/totalgood/pugnlp/blob/c43445b14afddfdeadc5f3076675c9e8fc1ee67c/src/pugnlp/util.py#L1980-L2020

tallforasmurf/byteplay

byteplay3.py

Code._findlinestarts

def _findlinestarts(code_object): """ Find the offsets in a byte code which are the start of source lines. Generate pairs (offset, lineno) as described in Python/compile.c. This is a modified version of dis.findlinestarts. This version allows multiple "line starts" with the same line number. (The dis version conditions its yield on a test "if lineno != lastlineno".) FYI: code.co_lnotab is a byte array with one pair of bytes for each effective source line number in the bytecode. An effective line is one that generates code: not blank or comment lines. The first actual line number, typically the number of the "def" statement, is in code.co_firstlineno. An even byte of co_lnotab is the offset to the bytecode generated from the next effective line number. The following odd byte is an increment on the previous line's number to the next line's number. Thus co_firstlineno+co_lnotab[1] is the first effective line's number, and co_lnotab[0] is the number of bytes it generated. Note that an effective line number generates code by definition, hence the even byte cannot be zero; and as line numbers are monotonically increasing, the odd byte cannot be zero either. But what, the curious reader might ask, does Python do if a source line generates more than 255 bytes of code? In that *highly* unlikely case compile.c generates multiple pairs of (255,0) until it has accounted for all the generated code, then a final pair of (offset%256, lineincr). Oh, but what, the curious reader asks, do they do if there is a gap of more than 255 between effective line numbers? It is not unheard of to find blocks of comments larger than 255 lines (like this one?). Then compile.c generates pairs of (0, 255) until it has accounted for the line number difference and a final pair of (offset,lineincr%256). Uh, but...? Yes, what now, annoying reader? Well, does the following code handle these special cases of (255,0) and (0,255) properly? It handles the (0,255) case correctly, because of the "if byte_incr" test which skips the yield() but increments lineno. It does not handle the case of (255,0) correctly; it will yield false pairs (255,0). Fortunately that will only arise e.g. when disassembling some "obfuscated" code where most newlines are replaced with semicolons. Oh, and yes, the to_code() method does properly handle generation of the (255,0) and (0,255) entries correctly. """ # grab the even bytes as integer byte_increments: byte_increments = [c for c in code_object.co_lnotab[0::2]] # grab the odd bytes as integer line_increments: line_increments = [c for c in code_object.co_lnotab[1::2]] lineno = code_object.co_firstlineno addr = 0 for byte_incr, line_incr in zip(byte_increments, line_increments): if byte_incr: yield (addr, lineno) addr += byte_incr lineno += line_incr yield (addr, lineno)

python

def _findlinestarts(code_object): """ Find the offsets in a byte code which are the start of source lines. Generate pairs (offset, lineno) as described in Python/compile.c. This is a modified version of dis.findlinestarts. This version allows multiple "line starts" with the same line number. (The dis version conditions its yield on a test "if lineno != lastlineno".) FYI: code.co_lnotab is a byte array with one pair of bytes for each effective source line number in the bytecode. An effective line is one that generates code: not blank or comment lines. The first actual line number, typically the number of the "def" statement, is in code.co_firstlineno. An even byte of co_lnotab is the offset to the bytecode generated from the next effective line number. The following odd byte is an increment on the previous line's number to the next line's number. Thus co_firstlineno+co_lnotab[1] is the first effective line's number, and co_lnotab[0] is the number of bytes it generated. Note that an effective line number generates code by definition, hence the even byte cannot be zero; and as line numbers are monotonically increasing, the odd byte cannot be zero either. But what, the curious reader might ask, does Python do if a source line generates more than 255 bytes of code? In that *highly* unlikely case compile.c generates multiple pairs of (255,0) until it has accounted for all the generated code, then a final pair of (offset%256, lineincr). Oh, but what, the curious reader asks, do they do if there is a gap of more than 255 between effective line numbers? It is not unheard of to find blocks of comments larger than 255 lines (like this one?). Then compile.c generates pairs of (0, 255) until it has accounted for the line number difference and a final pair of (offset,lineincr%256). Uh, but...? Yes, what now, annoying reader? Well, does the following code handle these special cases of (255,0) and (0,255) properly? It handles the (0,255) case correctly, because of the "if byte_incr" test which skips the yield() but increments lineno. It does not handle the case of (255,0) correctly; it will yield false pairs (255,0). Fortunately that will only arise e.g. when disassembling some "obfuscated" code where most newlines are replaced with semicolons. Oh, and yes, the to_code() method does properly handle generation of the (255,0) and (0,255) entries correctly. """ # grab the even bytes as integer byte_increments: byte_increments = [c for c in code_object.co_lnotab[0::2]] # grab the odd bytes as integer line_increments: line_increments = [c for c in code_object.co_lnotab[1::2]] lineno = code_object.co_firstlineno addr = 0 for byte_incr, line_incr in zip(byte_increments, line_increments): if byte_incr: yield (addr, lineno) addr += byte_incr lineno += line_incr yield (addr, lineno)

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train

https://github.com/tallforasmurf/byteplay/blob/f6189df69dea763c83e857150244a8a89c082cc2/byteplay3.py#L808-L870

chovanecm/sacredboard

sacredboard/app/data/pymongo/rundao.py

MongoRunDAO._to_mongo_query

def _to_mongo_query(query): """ Convert the query received by the Sacred Web API to a MongoDB query. Takes a query in format {"type": "and", "filters": [ {"field": "host.hostname", "operator": "==", "value": "ntbacer"}, {"type": "or", "filters": [ {"field": "result", "operator": "==", "value": 2403.52}, {"field": "host.python_version", "operator": "==", "value":"3.5.2"} ]}]} and returns an appropriate MongoDB Query. :param query: A query in the Sacred Web API format. :return: Mongo Query. """ mongo_query = [] for clause in query["filters"]: if clause.get("type") is None: mongo_clause = MongoRunDAO. \ _simple_clause_to_query(clause) else: # It's a subclause mongo_clause = MongoRunDAO._to_mongo_query(clause) mongo_query.append(mongo_clause) if len(mongo_query) == 0: return {} if query["type"] == "and": return {"$and": mongo_query} elif query["type"] == "or": return {"$or": mongo_query} else: raise ValueError("Unexpected query type %s" % query.get("type"))

python

def _to_mongo_query(query): """ Convert the query received by the Sacred Web API to a MongoDB query. Takes a query in format {"type": "and", "filters": [ {"field": "host.hostname", "operator": "==", "value": "ntbacer"}, {"type": "or", "filters": [ {"field": "result", "operator": "==", "value": 2403.52}, {"field": "host.python_version", "operator": "==", "value":"3.5.2"} ]}]} and returns an appropriate MongoDB Query. :param query: A query in the Sacred Web API format. :return: Mongo Query. """ mongo_query = [] for clause in query["filters"]: if clause.get("type") is None: mongo_clause = MongoRunDAO. \ _simple_clause_to_query(clause) else: # It's a subclause mongo_clause = MongoRunDAO._to_mongo_query(clause) mongo_query.append(mongo_clause) if len(mongo_query) == 0: return {} if query["type"] == "and": return {"$and": mongo_query} elif query["type"] == "or": return {"$or": mongo_query} else: raise ValueError("Unexpected query type %s" % query.get("type"))

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train

https://github.com/chovanecm/sacredboard/blob/47e1c99e3be3c1b099d3772bc077f5666020eb0b/sacredboard/app/data/pymongo/rundao.py#L114-L146

saltstack/salt

salt/modules/scp_mod.py

get

def get(remote_path, local_path='', recursive=False, preserve_times=False, **kwargs): ''' Transfer files and directories from remote host to the localhost of the Minion. remote_path Path to retrieve from remote host. Since this is evaluated by scp on the remote host, shell wildcards and environment variables may be used. recursive: ``False`` Transfer files and directories recursively. preserve_times: ``False`` Preserve ``mtime`` and ``atime`` of transferred files and directories. hostname The hostname of the remote device. port: ``22`` The port of the remote device. username The username required for SSH authentication on the device. password Used for password authentication. It is also used for private key decryption if ``passphrase`` is not given. passphrase Used for decrypting private keys. pkey An optional private key to use for authentication. key_filename The filename, or list of filenames, of optional private key(s) and/or certificates to try for authentication. timeout An optional timeout (in seconds) for the TCP connect. socket_timeout: ``10`` The channel socket timeout in seconds. buff_size: ``16384`` The size of the SCP send buffer. allow_agent: ``True`` Set to ``False`` to disable connecting to the SSH agent. look_for_keys: ``True`` Set to ``False`` to disable searching for discoverable private key files in ``~/.ssh/`` banner_timeout An optional timeout (in seconds) to wait for the SSH banner to be presented. auth_timeout An optional timeout (in seconds) to wait for an authentication response. auto_add_policy: ``False`` Automatically add the host to the ``known_hosts``. CLI Example: .. code-block:: bash salt '*' scp.get /var/tmp/file /tmp/file hostname=10.10.10.1 auto_add_policy=True ''' scp_client = _prepare_connection(**kwargs) get_kwargs = { 'recursive': recursive, 'preserve_times': preserve_times } if local_path: get_kwargs['local_path'] = local_path return scp_client.get(remote_path, **get_kwargs)

python

def get(remote_path, local_path='', recursive=False, preserve_times=False, **kwargs): ''' Transfer files and directories from remote host to the localhost of the Minion. remote_path Path to retrieve from remote host. Since this is evaluated by scp on the remote host, shell wildcards and environment variables may be used. recursive: ``False`` Transfer files and directories recursively. preserve_times: ``False`` Preserve ``mtime`` and ``atime`` of transferred files and directories. hostname The hostname of the remote device. port: ``22`` The port of the remote device. username The username required for SSH authentication on the device. password Used for password authentication. It is also used for private key decryption if ``passphrase`` is not given. passphrase Used for decrypting private keys. pkey An optional private key to use for authentication. key_filename The filename, or list of filenames, of optional private key(s) and/or certificates to try for authentication. timeout An optional timeout (in seconds) for the TCP connect. socket_timeout: ``10`` The channel socket timeout in seconds. buff_size: ``16384`` The size of the SCP send buffer. allow_agent: ``True`` Set to ``False`` to disable connecting to the SSH agent. look_for_keys: ``True`` Set to ``False`` to disable searching for discoverable private key files in ``~/.ssh/`` banner_timeout An optional timeout (in seconds) to wait for the SSH banner to be presented. auth_timeout An optional timeout (in seconds) to wait for an authentication response. auto_add_policy: ``False`` Automatically add the host to the ``known_hosts``. CLI Example: .. code-block:: bash salt '*' scp.get /var/tmp/file /tmp/file hostname=10.10.10.1 auto_add_policy=True ''' scp_client = _prepare_connection(**kwargs) get_kwargs = { 'recursive': recursive, 'preserve_times': preserve_times } if local_path: get_kwargs['local_path'] = local_path return scp_client.get(remote_path, **get_kwargs)

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train

https://github.com/saltstack/salt/blob/e8541fd6e744ab0df786c0f76102e41631f45d46/salt/modules/scp_mod.py#L69-L151

mwouts/jupytext

jupytext/languages.py

cell_language

def cell_language(source): """Return cell language and language options, if any""" if source: line = source[0] if line.startswith('%%'): magic = line[2:] if ' ' in magic: lang, magic_args = magic.split(' ', 1) else: lang = magic magic_args = '' if lang in _JUPYTER_LANGUAGES: source.pop(0) return lang, magic_args return None, None

python

def cell_language(source): """Return cell language and language options, if any""" if source: line = source[0] if line.startswith('%%'): magic = line[2:] if ' ' in magic: lang, magic_args = magic.split(' ', 1) else: lang = magic magic_args = '' if lang in _JUPYTER_LANGUAGES: source.pop(0) return lang, magic_args return None, None

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Return cell language and language options, if any

['Return', 'cell', 'language', 'and', 'language', 'options', 'if', 'any']

train

https://github.com/mwouts/jupytext/blob/eb7d6aee889f80ad779cfc53441c648f0db9246d/jupytext/languages.py#L68-L84

chimpler/pyhocon

pyhocon/converter.py

HOCONConverter.convert_from_file

def convert_from_file(cls, input_file=None, output_file=None, output_format='json', indent=2, compact=False): """Convert to json, properties or yaml :param input_file: input file, if not specified stdin :param output_file: output file, if not specified stdout :param output_format: json, properties or yaml :return: json, properties or yaml string representation """ if input_file is None: content = sys.stdin.read() config = ConfigFactory.parse_string(content) else: config = ConfigFactory.parse_file(input_file) res = cls.convert(config, output_format, indent, compact) if output_file is None: print(res) else: with open(output_file, "w") as fd: fd.write(res)

python

def convert_from_file(cls, input_file=None, output_file=None, output_format='json', indent=2, compact=False): """Convert to json, properties or yaml :param input_file: input file, if not specified stdin :param output_file: output file, if not specified stdout :param output_format: json, properties or yaml :return: json, properties or yaml string representation """ if input_file is None: content = sys.stdin.read() config = ConfigFactory.parse_string(content) else: config = ConfigFactory.parse_file(input_file) res = cls.convert(config, output_format, indent, compact) if output_file is None: print(res) else: with open(output_file, "w") as fd: fd.write(res)

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Convert to json, properties or yaml :param input_file: input file, if not specified stdin :param output_file: output file, if not specified stdout :param output_format: json, properties or yaml :return: json, properties or yaml string representation

['Convert', 'to', 'json', 'properties', 'or', 'yaml']

train

https://github.com/chimpler/pyhocon/blob/e5b22a8e74e8f88e43cf9e9140cca5f2cd0ab4a3/pyhocon/converter.py#L237-L257

thespacedoctor/polyglot

polyglot/markdown/translate.py

translate.definition

def definition( self, text, definition): """*genarate a MMD definition* **Key Arguments:** - ``text`` -- the text to define - ``definition`` -- the definition **Return:** - ``definition`` -- the MMD style definition **Usage:** To genarate a MMD definition: .. code-block:: python text = \"\"\"Pomaceous fruit of plants of the genus Malus in the family Rosaceae. Also the makers of really great products.\"\"\" definition = md.definition("Apple", text) print definition # OUTPUT: # Apple # : Pomaceous fruit of plants of the genus Malus in the family Rosaceae. # Also the makers of really great products. # """ text = text.strip() definition = definition.strip() regex = re.compile(r'\n(\S)') definition = regex.sub("\n \g<1>", definition) return "%(text)s\n: %(definition)s" % locals()

python

def definition( self, text, definition): """*genarate a MMD definition* **Key Arguments:** - ``text`` -- the text to define - ``definition`` -- the definition **Return:** - ``definition`` -- the MMD style definition **Usage:** To genarate a MMD definition: .. code-block:: python text = \"\"\"Pomaceous fruit of plants of the genus Malus in the family Rosaceae. Also the makers of really great products.\"\"\" definition = md.definition("Apple", text) print definition # OUTPUT: # Apple # : Pomaceous fruit of plants of the genus Malus in the family Rosaceae. # Also the makers of really great products. # """ text = text.strip() definition = definition.strip() regex = re.compile(r'\n(\S)') definition = regex.sub("\n \g<1>", definition) return "%(text)s\n: %(definition)s" % locals()

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*genarate a MMD definition* **Key Arguments:** - ``text`` -- the text to define - ``definition`` -- the definition **Return:** - ``definition`` -- the MMD style definition **Usage:** To genarate a MMD definition: .. code-block:: python text = \"\"\"Pomaceous fruit of plants of the genus Malus in the family Rosaceae. Also the makers of really great products.\"\"\" definition = md.definition("Apple", text) print definition # OUTPUT: # Apple # : Pomaceous fruit of plants of the genus Malus in the family Rosaceae. # Also the makers of really great products. #

['*', 'genarate', 'a', 'MMD', 'definition', '*']

train

https://github.com/thespacedoctor/polyglot/blob/98038d746aa67e343b73b3ccee1e02d31dab81ec/polyglot/markdown/translate.py#L495-L531

frejanordsiek/hdf5storage

hdf5storage/__init__.py

find_thirdparty_marshaller_plugins

def find_thirdparty_marshaller_plugins(): """ Find, but don't load, all third party marshaller plugins. Third party marshaller plugins declare the entry point ``'hdf5storage.marshallers.plugins'`` with the name being the Marshaller API version and the target being a function that returns a ``tuple`` or ``list`` of all the marshallers provided by that plugin when given the hdf5storage version (``str``) as its only argument. .. versionadded:: 0.2 Returns ------- plugins : dict The marshaller obtaining entry points from third party plugins. The keys are the Marshaller API versions (``str``) and the values are ``dict`` of the entry points, with the module names as the keys (``str``) and the values being the entry points (``pkg_resources.EntryPoint``). See Also -------- supported_marshaller_api_versions """ all_plugins = tuple(pkg_resources.iter_entry_points( 'hdf5storage.marshallers.plugins')) return {ver: {p.module_name: p for p in all_plugins if p.name == ver} for ver in supported_marshaller_api_versions()}

python

def find_thirdparty_marshaller_plugins(): """ Find, but don't load, all third party marshaller plugins. Third party marshaller plugins declare the entry point ``'hdf5storage.marshallers.plugins'`` with the name being the Marshaller API version and the target being a function that returns a ``tuple`` or ``list`` of all the marshallers provided by that plugin when given the hdf5storage version (``str``) as its only argument. .. versionadded:: 0.2 Returns ------- plugins : dict The marshaller obtaining entry points from third party plugins. The keys are the Marshaller API versions (``str``) and the values are ``dict`` of the entry points, with the module names as the keys (``str``) and the values being the entry points (``pkg_resources.EntryPoint``). See Also -------- supported_marshaller_api_versions """ all_plugins = tuple(pkg_resources.iter_entry_points( 'hdf5storage.marshallers.plugins')) return {ver: {p.module_name: p for p in all_plugins if p.name == ver} for ver in supported_marshaller_api_versions()}

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['Find', 'but', 'don', 't', 'load', 'all', 'third', 'party', 'marshaller', 'plugins', '.']

train

https://github.com/frejanordsiek/hdf5storage/blob/539275141dd3a4efbbbfd9bdb978f3ed59e3f05d/hdf5storage/__init__.py#L85-L115

wummel/linkchecker

linkcheck/logger/customxml.py

CustomXMLLogger.log_url

def log_url (self, url_data): """ Log URL data in custom XML format. """ self.xml_starttag(u'urldata') if self.has_part('url'): self.xml_tag(u"url", unicode(url_data.base_url)) if url_data.name and self.has_part('name'): self.xml_tag(u"name", unicode(url_data.name)) if url_data.parent_url and self.has_part('parenturl'): attrs = { u'line': u"%d" % url_data.line, u'column': u"%d" % url_data.column, } self.xml_tag(u"parent", unicode(url_data.parent_url), attrs=attrs) if url_data.base_ref and self.has_part('base'): self.xml_tag(u"baseref", unicode(url_data.base_ref)) if self.has_part("realurl"): self.xml_tag(u"realurl", unicode(url_data.url)) if self.has_part("extern"): self.xml_tag(u"extern", u"%d" % (1 if url_data.extern else 0)) if url_data.dltime >= 0 and self.has_part("dltime"): self.xml_tag(u"dltime", u"%f" % url_data.dltime) if url_data.size >= 0 and self.has_part("dlsize"): self.xml_tag(u"dlsize", u"%d" % url_data.size) if url_data.checktime and self.has_part("checktime"): self.xml_tag(u"checktime", u"%f" % url_data.checktime) if self.has_part("level"): self.xml_tag(u"level", u"%d" % url_data.level) if url_data.info and self.has_part('info'): self.xml_starttag(u"infos") for info in url_data.info: self.xml_tag(u"info", info) self.xml_endtag(u"infos") if url_data.modified and self.has_part('modified'): self.xml_tag(u"modified", self.format_modified(url_data.modified)) if url_data.warnings and self.has_part('warning'): self.xml_starttag(u"warnings") for tag, data in url_data.warnings: attrs = {} if tag: attrs["tag"] = tag self.xml_tag(u"warning", data, attrs) self.xml_endtag(u"warnings") if self.has_part("result"): attrs = {} if url_data.result: attrs["result"] = url_data.result self.xml_tag(u"valid", u"%d" % (1 if url_data.valid else 0), attrs) self.xml_endtag(u'urldata') self.flush()

python

def log_url (self, url_data): """ Log URL data in custom XML format. """ self.xml_starttag(u'urldata') if self.has_part('url'): self.xml_tag(u"url", unicode(url_data.base_url)) if url_data.name and self.has_part('name'): self.xml_tag(u"name", unicode(url_data.name)) if url_data.parent_url and self.has_part('parenturl'): attrs = { u'line': u"%d" % url_data.line, u'column': u"%d" % url_data.column, } self.xml_tag(u"parent", unicode(url_data.parent_url), attrs=attrs) if url_data.base_ref and self.has_part('base'): self.xml_tag(u"baseref", unicode(url_data.base_ref)) if self.has_part("realurl"): self.xml_tag(u"realurl", unicode(url_data.url)) if self.has_part("extern"): self.xml_tag(u"extern", u"%d" % (1 if url_data.extern else 0)) if url_data.dltime >= 0 and self.has_part("dltime"): self.xml_tag(u"dltime", u"%f" % url_data.dltime) if url_data.size >= 0 and self.has_part("dlsize"): self.xml_tag(u"dlsize", u"%d" % url_data.size) if url_data.checktime and self.has_part("checktime"): self.xml_tag(u"checktime", u"%f" % url_data.checktime) if self.has_part("level"): self.xml_tag(u"level", u"%d" % url_data.level) if url_data.info and self.has_part('info'): self.xml_starttag(u"infos") for info in url_data.info: self.xml_tag(u"info", info) self.xml_endtag(u"infos") if url_data.modified and self.has_part('modified'): self.xml_tag(u"modified", self.format_modified(url_data.modified)) if url_data.warnings and self.has_part('warning'): self.xml_starttag(u"warnings") for tag, data in url_data.warnings: attrs = {} if tag: attrs["tag"] = tag self.xml_tag(u"warning", data, attrs) self.xml_endtag(u"warnings") if self.has_part("result"): attrs = {} if url_data.result: attrs["result"] = url_data.result self.xml_tag(u"valid", u"%d" % (1 if url_data.valid else 0), attrs) self.xml_endtag(u'urldata') self.flush()

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Log URL data in custom XML format.

['Log', 'URL', 'data', 'in', 'custom', 'XML', 'format', '.']

train

https://github.com/wummel/linkchecker/blob/c2ce810c3fb00b895a841a7be6b2e78c64e7b042/linkcheck/logger/customxml.py#L45-L96

alexa/alexa-skills-kit-sdk-for-python

ask-sdk-dynamodb-persistence-adapter/ask_sdk_dynamodb/adapter.py

DynamoDbAdapter.__create_table_if_not_exists

def __create_table_if_not_exists(self): # type: () -> None """Creates table in Dynamodb resource if it doesn't exist and create_table is set as True. :rtype: None :raises: PersistenceException: When `create_table` fails on dynamodb resource. """ if self.create_table: try: self.dynamodb.create_table( TableName=self.table_name, KeySchema=[ { 'AttributeName': self.partition_key_name, 'KeyType': 'HASH' } ], AttributeDefinitions=[ { 'AttributeName': self.partition_key_name, 'AttributeType': 'S' } ], ProvisionedThroughput={ 'ReadCapacityUnits': 5, 'WriteCapacityUnits': 5 } ) except Exception as e: if e.__class__.__name__ != "ResourceInUseException": raise PersistenceException( "Create table if not exists request " "failed: Exception of type {} " "occurred: {}".format( type(e).__name__, str(e)))

python

def __create_table_if_not_exists(self): # type: () -> None """Creates table in Dynamodb resource if it doesn't exist and create_table is set as True. :rtype: None :raises: PersistenceException: When `create_table` fails on dynamodb resource. """ if self.create_table: try: self.dynamodb.create_table( TableName=self.table_name, KeySchema=[ { 'AttributeName': self.partition_key_name, 'KeyType': 'HASH' } ], AttributeDefinitions=[ { 'AttributeName': self.partition_key_name, 'AttributeType': 'S' } ], ProvisionedThroughput={ 'ReadCapacityUnits': 5, 'WriteCapacityUnits': 5 } ) except Exception as e: if e.__class__.__name__ != "ResourceInUseException": raise PersistenceException( "Create table if not exists request " "failed: Exception of type {} " "occurred: {}".format( type(e).__name__, str(e)))

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Creates table in Dynamodb resource if it doesn't exist and create_table is set as True. :rtype: None :raises: PersistenceException: When `create_table` fails on dynamodb resource.

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train

https://github.com/alexa/alexa-skills-kit-sdk-for-python/blob/097b6406aa12d5ca0b825b00c936861b530cbf39/ask-sdk-dynamodb-persistence-adapter/ask_sdk_dynamodb/adapter.py#L207-L244

litters/shrew

shrew/utils/auth.py

FixedOSXKeychain.delete_password

def delete_password(service, username): """Delete the password for the username of the service. """ try: # set up the call for security. call = subprocess.Popen(['security', 'delete-generic-password', '-a', username, '-s', service], stderr=subprocess.PIPE, stdout=subprocess.PIPE) _, _ = call.communicate() code = call.returncode # check return code. if code is not 0: raise PasswordSetError('Can\'t delete password in keychain') except: raise PasswordSetError("Can't delete password in keychain")

python

def delete_password(service, username): """Delete the password for the username of the service. """ try: # set up the call for security. call = subprocess.Popen(['security', 'delete-generic-password', '-a', username, '-s', service], stderr=subprocess.PIPE, stdout=subprocess.PIPE) _, _ = call.communicate() code = call.returncode # check return code. if code is not 0: raise PasswordSetError('Can\'t delete password in keychain') except: raise PasswordSetError("Can't delete password in keychain")

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Delete the password for the username of the service.

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train

https://github.com/litters/shrew/blob/ed4b1879321d858d6bc884d14fea7557372a4d41/shrew/utils/auth.py#L60-L79

ThreatConnect-Inc/tcex

tcex/tcex_bin_run.py

TcExRun.data_kva_compare

def data_kva_compare(db_data, user_data): """Validate key/value data in KeyValueArray. Args: db_data (list): The data store in Redis. user_data (dict): The user provided data. Returns: bool: True if the data passed validation. """ for kv_data in db_data: if kv_data.get('key') == user_data.get('key'): if kv_data.get('value') == user_data.get('value'): return True return False

python

def data_kva_compare(db_data, user_data): """Validate key/value data in KeyValueArray. Args: db_data (list): The data store in Redis. user_data (dict): The user provided data. Returns: bool: True if the data passed validation. """ for kv_data in db_data: if kv_data.get('key') == user_data.get('key'): if kv_data.get('value') == user_data.get('value'): return True return False

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train

https://github.com/ThreatConnect-Inc/tcex/blob/dd4d7a1ef723af1561687120191886b9a2fd4b47/tcex/tcex_bin_run.py#L428-L442

miLibris/flask-rest-jsonapi

flask_rest_jsonapi/api.py

Api.oauth_manager

def oauth_manager(self, oauth_manager): """Use the oauth manager to enable oauth for API :param oauth_manager: the oauth manager """ @self.app.before_request def before_request(): endpoint = request.endpoint resource = self.app.view_functions[endpoint].view_class if not getattr(resource, 'disable_oauth'): scopes = request.args.get('scopes') if getattr(resource, 'schema'): scopes = [self.build_scope(resource, request.method)] elif scopes: scopes = scopes.split(',') if scopes: scopes = scopes.split(',') valid, req = oauth_manager.verify_request(scopes) for func in oauth_manager._after_request_funcs: valid, req = func(valid, req) if not valid: if oauth_manager._invalid_response: return oauth_manager._invalid_response(req) return abort(401) request.oauth = req

python

def oauth_manager(self, oauth_manager): """Use the oauth manager to enable oauth for API :param oauth_manager: the oauth manager """ @self.app.before_request def before_request(): endpoint = request.endpoint resource = self.app.view_functions[endpoint].view_class if not getattr(resource, 'disable_oauth'): scopes = request.args.get('scopes') if getattr(resource, 'schema'): scopes = [self.build_scope(resource, request.method)] elif scopes: scopes = scopes.split(',') if scopes: scopes = scopes.split(',') valid, req = oauth_manager.verify_request(scopes) for func in oauth_manager._after_request_funcs: valid, req = func(valid, req) if not valid: if oauth_manager._invalid_response: return oauth_manager._invalid_response(req) return abort(401) request.oauth = req

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train

https://github.com/miLibris/flask-rest-jsonapi/blob/ecc8f2cd2b54cc0bfae7acd6cffcda0ba1140c43/flask_rest_jsonapi/api.py#L93-L124

sixty-north/cosmic-ray

src/cosmic_ray/interceptors/spor.py

_item_in_context

def _item_in_context(lines, item, context): """Determines if a WorkItem falls within an anchor. This only returns True if a WorkItems start-/stop-pos range is *completely* within an anchor, not just if it overalaps. """ start_offset = _line_and_col_to_offset(lines, item.start_pos[0], item.start_pos[1]) stop_offset = _line_and_col_to_offset(lines, item.end_pos[0], item.end_pos[1]) width = stop_offset - start_offset return start_offset >= context.offset and width <= len(context.topic)

python

def _item_in_context(lines, item, context): """Determines if a WorkItem falls within an anchor. This only returns True if a WorkItems start-/stop-pos range is *completely* within an anchor, not just if it overalaps. """ start_offset = _line_and_col_to_offset(lines, item.start_pos[0], item.start_pos[1]) stop_offset = _line_and_col_to_offset(lines, item.end_pos[0], item.end_pos[1]) width = stop_offset - start_offset return start_offset >= context.offset and width <= len(context.topic)

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train

https://github.com/sixty-north/cosmic-ray/blob/c654e074afbb7b7fcbc23359083c1287c0d3e991/src/cosmic_ray/interceptors/spor.py#L93-L105

fermiPy/fermipy

fermipy/diffuse/gt_srcmap_partial.py

SrcmapsDiffuse_SG._handle_component

def _handle_component(sourcekey, comp_dict): """Make the source objects and write the xml for a component """ if comp_dict.comp_key is None: fullkey = sourcekey else: fullkey = "%s_%s" % (sourcekey, comp_dict.comp_key) srcdict = make_sources(fullkey, comp_dict) if comp_dict.model_type == 'IsoSource': print("Writing xml for %s to %s: %s %s" % (fullkey, comp_dict.srcmdl_name, comp_dict.model_type, comp_dict.Spectral_Filename)) elif comp_dict.model_type == 'MapCubeSource': print("Writing xml for %s to %s: %s %s" % (fullkey, comp_dict.srcmdl_name, comp_dict.model_type, comp_dict.Spatial_Filename)) SrcmapsDiffuse_SG._write_xml(comp_dict.srcmdl_name, srcdict.values())

python

def _handle_component(sourcekey, comp_dict): """Make the source objects and write the xml for a component """ if comp_dict.comp_key is None: fullkey = sourcekey else: fullkey = "%s_%s" % (sourcekey, comp_dict.comp_key) srcdict = make_sources(fullkey, comp_dict) if comp_dict.model_type == 'IsoSource': print("Writing xml for %s to %s: %s %s" % (fullkey, comp_dict.srcmdl_name, comp_dict.model_type, comp_dict.Spectral_Filename)) elif comp_dict.model_type == 'MapCubeSource': print("Writing xml for %s to %s: %s %s" % (fullkey, comp_dict.srcmdl_name, comp_dict.model_type, comp_dict.Spatial_Filename)) SrcmapsDiffuse_SG._write_xml(comp_dict.srcmdl_name, srcdict.values())

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train

https://github.com/fermiPy/fermipy/blob/9df5e7e3728307fd58c5bba36fd86783c39fbad4/fermipy/diffuse/gt_srcmap_partial.py#L141-L159

mlperf/training

translation/tensorflow/transformer/transformer_main.py

get_learning_rate

def get_learning_rate(learning_rate, hidden_size, learning_rate_warmup_steps): """Calculate learning rate with linear warmup and rsqrt decay.""" with tf.name_scope("learning_rate"): warmup_steps = tf.to_float(learning_rate_warmup_steps) step = tf.to_float(tf.train.get_or_create_global_step()) learning_rate *= (hidden_size ** -0.5) # Apply linear warmup learning_rate *= tf.minimum(1.0, step / warmup_steps) # Apply rsqrt decay learning_rate *= tf.rsqrt(tf.maximum(step, warmup_steps)) # Save learning rate value to TensorBoard summary. tf.summary.scalar("learning_rate", learning_rate) return learning_rate

python

def get_learning_rate(learning_rate, hidden_size, learning_rate_warmup_steps): """Calculate learning rate with linear warmup and rsqrt decay.""" with tf.name_scope("learning_rate"): warmup_steps = tf.to_float(learning_rate_warmup_steps) step = tf.to_float(tf.train.get_or_create_global_step()) learning_rate *= (hidden_size ** -0.5) # Apply linear warmup learning_rate *= tf.minimum(1.0, step / warmup_steps) # Apply rsqrt decay learning_rate *= tf.rsqrt(tf.maximum(step, warmup_steps)) # Save learning rate value to TensorBoard summary. tf.summary.scalar("learning_rate", learning_rate) return learning_rate

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train

https://github.com/mlperf/training/blob/1c6ae725a81d15437a2b2df05cac0673fde5c3a4/translation/tensorflow/transformer/transformer_main.py#L82-L97

zyga/guacamole

examples/rainbow.py

ANSIDemo.invoked

def invoked(self, ctx): """Method called when the command is invoked.""" if not ctx.ansi.is_enabled: print("You need color support to use this demo") else: print(ctx.ansi.cmd('erase_display')) self._demo_fg_color(ctx) self._demo_bg_color(ctx) self._demo_bg_indexed(ctx) self._demo_rgb(ctx) self._demo_style(ctx)

python

def invoked(self, ctx): """Method called when the command is invoked.""" if not ctx.ansi.is_enabled: print("You need color support to use this demo") else: print(ctx.ansi.cmd('erase_display')) self._demo_fg_color(ctx) self._demo_bg_color(ctx) self._demo_bg_indexed(ctx) self._demo_rgb(ctx) self._demo_style(ctx)

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train

https://github.com/zyga/guacamole/blob/105c10a798144e3b89659b500d7c2b84b0c76546/examples/rainbow.py#L45-L55

junaruga/rpm-py-installer

install.py

Cmd.tar_extract

def tar_extract(cls, tar_comp_file_path): """Extract tar.gz or tar bz2 file. It behaves like - tar xzf tar_gz_file_path - tar xjf tar_bz2_file_path It raises tarfile.ReadError if the file is broken. """ try: with contextlib.closing(tarfile.open(tar_comp_file_path)) as tar: tar.extractall() except tarfile.ReadError as e: message_format = ( 'Extract failed: ' 'tar_comp_file_path: {0}, reason: {1}' ) raise InstallError(message_format.format(tar_comp_file_path, e))

python

def tar_extract(cls, tar_comp_file_path): """Extract tar.gz or tar bz2 file. It behaves like - tar xzf tar_gz_file_path - tar xjf tar_bz2_file_path It raises tarfile.ReadError if the file is broken. """ try: with contextlib.closing(tarfile.open(tar_comp_file_path)) as tar: tar.extractall() except tarfile.ReadError as e: message_format = ( 'Extract failed: ' 'tar_comp_file_path: {0}, reason: {1}' ) raise InstallError(message_format.format(tar_comp_file_path, e))

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train

https://github.com/junaruga/rpm-py-installer/blob/12f45feb0ba533dec8d0d16ef1e9b7fb8cfbd4ed/install.py#L1841-L1857

clusterpoint/python-client-api

pycps/converters.py

to_raw_xml

def to_raw_xml(source): """ Convert various representations of an XML structure to a normal XML string. Args: source -- The source object to be converted - ET.Element, dict or string. Returns: A rew xml string matching the source object. >>> to_raw_xml("<content/>") '<content/>' >>> to_raw_xml({'document': {'title': 'foo', 'list': [{'li':1}, {'li':2}]}}) '<document><list><li>1</li><li>2</li></list><title>foo</title></document>' >>> to_raw_xml(ET.Element('root')) '<root/>' """ if isinstance(source, basestring): return source elif hasattr(source, 'getiterator'): # Element or ElementTree. return ET.tostring(source, encoding="utf-8") elif hasattr(source, 'keys'): # Dict. xml_root = dict_to_etree(source) return ET.tostring(xml_root, encoding="utf-8") else: raise TypeError("Accepted representations of a document are string, dict and etree")

python

def to_raw_xml(source): """ Convert various representations of an XML structure to a normal XML string. Args: source -- The source object to be converted - ET.Element, dict or string. Returns: A rew xml string matching the source object. >>> to_raw_xml("<content/>") '<content/>' >>> to_raw_xml({'document': {'title': 'foo', 'list': [{'li':1}, {'li':2}]}}) '<document><list><li>1</li><li>2</li></list><title>foo</title></document>' >>> to_raw_xml(ET.Element('root')) '<root/>' """ if isinstance(source, basestring): return source elif hasattr(source, 'getiterator'): # Element or ElementTree. return ET.tostring(source, encoding="utf-8") elif hasattr(source, 'keys'): # Dict. xml_root = dict_to_etree(source) return ET.tostring(xml_root, encoding="utf-8") else: raise TypeError("Accepted representations of a document are string, dict and etree")

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train

https://github.com/clusterpoint/python-client-api/blob/fabf9bd8355aa54ba08fd6649e48f16e2c35eacd/pycps/converters.py#L178-L204

mozillazg/baidu-pcs-python-sdk

baidupcs/api.py

PCS.list_download_tasks

def list_download_tasks(self, need_task_info=1, start=0, limit=10, asc=0, create_time=None, status=None, source_url=None, remote_path=None, expires=None, **kwargs): """查询离线下载任务ID列表及任务信息. :param need_task_info: 是否需要返回任务信息: * 0：不需要 * 1：需要，默认为1 :param start: 查询任务起始位置，默认为0。 :param limit: 设定返回任务数量，默认为10。 :param asc: * 0：降序，默认值 * 1：升序 :param create_time: 任务创建时间，默认为空。 :type create_time: int :param status: 任务状态，默认为空。 0:下载成功，1:下载进行中 2:系统错误，3:资源不存在， 4:下载超时，5:资源存在但下载失败, 6:存储空间不足, 7:目标地址数据已存在, 8:任务取消. :type status: int :param source_url: 源地址URL，默认为空。 :param remote_path: 文件保存路径，默认为空。 .. warning:: * 路径长度限制为1000； * 径中不能包含以下字符：``\\\\ ? | " > < : *``； * 文件名或路径名开头结尾不能是 ``.`` 或空白字符，空白字符包括： ``\\r, \\n, \\t, 空格, \\0, \\x0B`` 。 :param expires: 请求失效时间，如果有，则会校验。 :type expires: int :return: Response 对象 """ data = { 'expires': expires, 'start': start, 'limit': limit, 'asc': asc, 'source_url': source_url, 'save_path': remote_path, 'create_time': create_time, 'status': status, 'need_task_info': need_task_info, } return self._request('services/cloud_dl', 'list_task', data=data, **kwargs)

python

def list_download_tasks(self, need_task_info=1, start=0, limit=10, asc=0, create_time=None, status=None, source_url=None, remote_path=None, expires=None, **kwargs): """查询离线下载任务ID列表及任务信息. :param need_task_info: 是否需要返回任务信息: * 0：不需要 * 1：需要，默认为1 :param start: 查询任务起始位置，默认为0。 :param limit: 设定返回任务数量，默认为10。 :param asc: * 0：降序，默认值 * 1：升序 :param create_time: 任务创建时间，默认为空。 :type create_time: int :param status: 任务状态，默认为空。 0:下载成功，1:下载进行中 2:系统错误，3:资源不存在， 4:下载超时，5:资源存在但下载失败, 6:存储空间不足, 7:目标地址数据已存在, 8:任务取消. :type status: int :param source_url: 源地址URL，默认为空。 :param remote_path: 文件保存路径，默认为空。 .. warning:: * 路径长度限制为1000； * 径中不能包含以下字符：``\\\\ ? | " > < : *``； * 文件名或路径名开头结尾不能是 ``.`` 或空白字符，空白字符包括： ``\\r, \\n, \\t, 空格, \\0, \\x0B`` 。 :param expires: 请求失效时间，如果有，则会校验。 :type expires: int :return: Response 对象 """ data = { 'expires': expires, 'start': start, 'limit': limit, 'asc': asc, 'source_url': source_url, 'save_path': remote_path, 'create_time': create_time, 'status': status, 'need_task_info': need_task_info, } return self._request('services/cloud_dl', 'list_task', data=data, **kwargs)

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查询离线下载任务ID列表及任务信息. :param need_task_info: 是否需要返回任务信息: * 0：不需要 * 1：需要，默认为1 :param start: 查询任务起始位置，默认为0。 :param limit: 设定返回任务数量，默认为10。 :param asc: * 0：降序，默认值 * 1：升序 :param create_time: 任务创建时间，默认为空。 :type create_time: int :param status: 任务状态，默认为空。 0:下载成功，1:下载进行中 2:系统错误，3:资源不存在， 4:下载超时，5:资源存在但下载失败, 6:存储空间不足, 7:目标地址数据已存在, 8:任务取消. :type status: int :param source_url: 源地址URL，默认为空。 :param remote_path: 文件保存路径，默认为空。 .. warning:: * 路径长度限制为1000； * 径中不能包含以下字符：``\\\\ ? | " > < : *``； * 文件名或路径名开头结尾不能是 ``.`` 或空白字符，空白字符包括： ``\\r, \\n, \\t, 空格, \\0, \\x0B`` 。 :param expires: 请求失效时间，如果有，则会校验。 :type expires: int :return: Response 对象

['查询离线下载任务ID列表及任务信息', '.']

train

https://github.com/mozillazg/baidu-pcs-python-sdk/blob/12fe3f13b2ecda8f8bdcc5334c876e934776a5cc/baidupcs/api.py#L791-L839

zrnsm/pyculiarity

pyculiarity/detect_vec.py

detect_vec

def detect_vec(df, max_anoms=0.10, direction='pos', alpha=0.05, period=None, only_last=False, threshold=None, e_value=False, longterm_period=None, plot=False, y_log=False, xlabel='', ylabel='count', title=None, verbose=False): """ Anomaly Detection Using Seasonal Hybrid ESD Test A technique for detecting anomalies in seasonal univariate time series where the input is a series of observations. Args: x: Time series as a column data frame, list, or vector, where the column consists of the observations. max_anoms: Maximum number of anomalies that S-H-ESD will detect as a percentage of the data. direction: Directionality of the anomalies to be detected. Options are: ('pos' | 'neg' | 'both'). alpha: The level of statistical significance with which to accept or reject anomalies. period: Defines the number of observations in a single period, and used during seasonal decomposition. only_last: Find and report anomalies only within the last period in the time series. threshold: Only report positive going anoms above the threshold specified. Options are: ('None' | 'med_max' | 'p95' | 'p99'). e_value: Add an additional column to the anoms output containing the expected value. longterm_period: Defines the number of observations for which the trend can be considered flat. The value should be an integer multiple of the number of observations in a single period. This increases anom detection efficacy for time series that are greater than a month. plot: (Currently unsupported) A flag indicating if a plot with both the time series and the estimated anoms, indicated by circles, should also be returned. y_log: Apply log scaling to the y-axis. This helps with viewing plots that have extremely large positive anomalies relative to the rest of the data. xlabel: X-axis label to be added to the output plot. ylabel: Y-axis label to be added to the output plot. Details 'longterm_period' This option should be set when the input time series is longer than a month. The option enables the approach described in Vallis, Hochenbaum, and Kejariwal (2014). 'threshold' Filter all negative anomalies and those anomalies whose magnitude is smaller than one of the specified thresholds which include: the median of the daily max values (med_max), the 95th percentile of the daily max values (p95), and the 99th percentile of the daily max values (p99). 'title' Title for the output plot. 'verbose' Enable debug messages The returned value is a dictionary with the following components: anoms: Data frame containing index, values, and optionally expected values. plot: A graphical object if plotting was requested by the user. The plot contains the estimated anomalies annotated on the input time series. """ if (isinstance(df, DataFrame) and len(df.columns) == 1 and df.iloc[:,0].applymap(np.isreal).all(1)): d = { 'timestamp': range(len(df.iloc[:,0])), 'value': df.iloc[:,0] } df = DataFrame(d, index=d['timestamp']) elif isinstance(df, Series): d = { 'timestamp': range(len(df)), 'value': df } df = DataFrame(d, index=d['timestamp']) else: raise ValueError(("data must be a single data frame, " "list, or vector that holds numeric values.")) if max_anoms > 0.49: length = len(df.value) raise ValueError( ("max_anoms must be less than 50% of " "the data points (max_anoms =%f data_points =%s).") % (round(max_anoms * length, 0), length)) if not direction in ['pos', 'neg', 'both']: raise ValueError("direction options are: pos | neg | both.") if not (0.01 <= alpha or alpha <= 0.1): if verbose: import warnings warnings.warn(("alpha is the statistical signifigance, " "and is usually between 0.01 and 0.1")) if not period: raise ValueError(("Period must be set to the number " "of data points in a single period")) if not isinstance(only_last, bool): raise ValueError("only_last must be a boolean") if not threshold in [None,'med_max','p95','p99']: raise ValueError("threshold options are: None | med_max | p95 | p99") if not isinstance(e_value, bool): raise ValueError("e_value must be a boolean") if not isinstance(plot, bool): raise ValueError("plot must be a boolean") if not isinstance(y_log, bool): raise ValueError("y_log must be a boolean") if not isinstance(xlabel, string_types): raise ValueError("xlabel must be a string") if not isinstance(ylabel, string_types): raise ValueError("ylabel must be a string") if title and not isinstance(title, string_types): raise ValueError("title must be a string") if not title: title = '' else: title = title + " : " # -- Main analysis: Perform S-H-ESD num_obs = len(df.value) clamp = (1 / float(num_obs)) if max_anoms < clamp: max_anoms = clamp # -- Setup for longterm time series # If longterm is enabled, break the data into subset # data frames and store in all_data, if longterm_period: all_data = [] for j in range(0, len(df.timestamp), longterm_period): start_index = df.timestamp.iloc[j] end_index = min((start_index + longterm_period), num_obs) if (end_index - start_index) == longterm_period: sub_df = df[(df.timestamp >= start_index) & (df.timestamp <= end_index)] else: sub_df = df[(df.timestamp >= (num_obs - longterm_period)) & (df.timestamp <= num_obs)] all_data.append(sub_df) else: all_data = [df] # Create empty data frames to store all anoms and # seasonal+trend component from decomposition all_anoms = DataFrame(columns=['timestamp', 'value']) seasonal_plus_trend = DataFrame(columns=['timestamp', 'value']) # Detect anomalies on all data (either entire data in one-pass, # or in 2 week blocks if longterm=TRUE) for i in range(len(all_data)): directions = { 'pos': Direction(True, True), 'neg': Direction(True, False), 'both': Direction(False, True) } anomaly_direction = directions[direction] s_h_esd_timestamps = detect_anoms(all_data[i], k=max_anoms, alpha=alpha, num_obs_per_period=period, use_decomp=True, one_tail=anomaly_direction.one_tail, upper_tail=anomaly_direction.upper_tail, verbose=verbose) # store decomposed components in local variable and # overwrite s_h_esd_timestamps to contain only the anom timestamps data_decomp = s_h_esd_timestamps['stl'] s_h_esd_timestamps = s_h_esd_timestamps['anoms'] # -- Step 3: Use detected anomaly timestamps to # extract the actual anomalies (timestamp and value) from the data if s_h_esd_timestamps: anoms = all_data[i][all_data[i].timestamp.isin(s_h_esd_timestamps)] else: anoms = DataFrame(columns=['timestamp', 'value']) # Filter the anomalies using one of the thresholding # functions if applicable if threshold: # Calculate daily max values if isinstance(all_data[i].index[0], Timestamp): group = all_data[i].timestamp.map(Timestamp.date) else: group = all_data[i].timestamp.map(lambda t: int(t / period)) periodic_maxes = df.groupby(group).aggregate(np.max).value # Calculate the threshold set by the user if threshold == 'med_max': thresh = periodic_maxes.median() elif threshold == 'p95': thresh = periodic_maxes.quantile(.95) elif threshold == 'p99': thresh = periodic_maxes.quantile(.99) # Remove any anoms below the threshold anoms = anoms[anoms.value >= thresh] all_anoms = all_anoms.append(anoms) seasonal_plus_trend = seasonal_plus_trend.append(data_decomp) # Cleanup potential duplicates try: all_anoms.drop_duplicates(subset=['timestamp']) seasonal_plus_trend.drop_duplicates(subset=['timestamp']) except TypeError: all_anoms.drop_duplicates(cols=['timestamp']) seasonal_plus_trend.drop_duplicates(cols=['timestamp']) # -- If only_last was set by the user, create subset of # the data that represent the most recent period if only_last: d = { 'timestamp': df.timestamp.iloc[-period:], 'value': df.value.iloc[-period:] } x_subset_single_period = DataFrame(d, index = d['timestamp']) past_obs = period * 7 if num_obs < past_obs: past_obs = num_obs - period # When plotting anoms for the last period only we only show # the previous 7 periods of data d = { 'timestamp': df.timestamp.iloc[-past_obs:-period], 'value': df.value.iloc[-past_obs:-period] } x_subset_previous = DataFrame(d, index=d['timestamp']) all_anoms = all_anoms[all_anoms.timestamp >= x_subset_single_period.timestamp.iloc[0]] num_obs = len(x_subset_single_period.value) # Calculate number of anomalies as a percentage anom_pct = (len(df.value) / float(num_obs)) * 100 if anom_pct == 0: return { "anoms": None, "plot": None } # The original R implementation handles plotting here. # Plotting is currently not implemented. # if plot: # plot_something() all_anoms.index = all_anoms.timestamp if e_value: d = { 'timestamp': all_anoms.timestamp, 'anoms': all_anoms.value, 'expected_value': seasonal_plus_trend[ seasonal_plus_trend.timestamp.isin( all_anoms.timestamp)].value } else: d = { 'timestamp': all_anoms.timestamp, 'anoms': all_anoms.value } anoms = DataFrame(d, index=d['timestamp'].index) return { 'anoms': anoms, 'plot': None }

python

def detect_vec(df, max_anoms=0.10, direction='pos', alpha=0.05, period=None, only_last=False, threshold=None, e_value=False, longterm_period=None, plot=False, y_log=False, xlabel='', ylabel='count', title=None, verbose=False): """ Anomaly Detection Using Seasonal Hybrid ESD Test A technique for detecting anomalies in seasonal univariate time series where the input is a series of observations. Args: x: Time series as a column data frame, list, or vector, where the column consists of the observations. max_anoms: Maximum number of anomalies that S-H-ESD will detect as a percentage of the data. direction: Directionality of the anomalies to be detected. Options are: ('pos' | 'neg' | 'both'). alpha: The level of statistical significance with which to accept or reject anomalies. period: Defines the number of observations in a single period, and used during seasonal decomposition. only_last: Find and report anomalies only within the last period in the time series. threshold: Only report positive going anoms above the threshold specified. Options are: ('None' | 'med_max' | 'p95' | 'p99'). e_value: Add an additional column to the anoms output containing the expected value. longterm_period: Defines the number of observations for which the trend can be considered flat. The value should be an integer multiple of the number of observations in a single period. This increases anom detection efficacy for time series that are greater than a month. plot: (Currently unsupported) A flag indicating if a plot with both the time series and the estimated anoms, indicated by circles, should also be returned. y_log: Apply log scaling to the y-axis. This helps with viewing plots that have extremely large positive anomalies relative to the rest of the data. xlabel: X-axis label to be added to the output plot. ylabel: Y-axis label to be added to the output plot. Details 'longterm_period' This option should be set when the input time series is longer than a month. The option enables the approach described in Vallis, Hochenbaum, and Kejariwal (2014). 'threshold' Filter all negative anomalies and those anomalies whose magnitude is smaller than one of the specified thresholds which include: the median of the daily max values (med_max), the 95th percentile of the daily max values (p95), and the 99th percentile of the daily max values (p99). 'title' Title for the output plot. 'verbose' Enable debug messages The returned value is a dictionary with the following components: anoms: Data frame containing index, values, and optionally expected values. plot: A graphical object if plotting was requested by the user. The plot contains the estimated anomalies annotated on the input time series. """ if (isinstance(df, DataFrame) and len(df.columns) == 1 and df.iloc[:,0].applymap(np.isreal).all(1)): d = { 'timestamp': range(len(df.iloc[:,0])), 'value': df.iloc[:,0] } df = DataFrame(d, index=d['timestamp']) elif isinstance(df, Series): d = { 'timestamp': range(len(df)), 'value': df } df = DataFrame(d, index=d['timestamp']) else: raise ValueError(("data must be a single data frame, " "list, or vector that holds numeric values.")) if max_anoms > 0.49: length = len(df.value) raise ValueError( ("max_anoms must be less than 50% of " "the data points (max_anoms =%f data_points =%s).") % (round(max_anoms * length, 0), length)) if not direction in ['pos', 'neg', 'both']: raise ValueError("direction options are: pos | neg | both.") if not (0.01 <= alpha or alpha <= 0.1): if verbose: import warnings warnings.warn(("alpha is the statistical signifigance, " "and is usually between 0.01 and 0.1")) if not period: raise ValueError(("Period must be set to the number " "of data points in a single period")) if not isinstance(only_last, bool): raise ValueError("only_last must be a boolean") if not threshold in [None,'med_max','p95','p99']: raise ValueError("threshold options are: None | med_max | p95 | p99") if not isinstance(e_value, bool): raise ValueError("e_value must be a boolean") if not isinstance(plot, bool): raise ValueError("plot must be a boolean") if not isinstance(y_log, bool): raise ValueError("y_log must be a boolean") if not isinstance(xlabel, string_types): raise ValueError("xlabel must be a string") if not isinstance(ylabel, string_types): raise ValueError("ylabel must be a string") if title and not isinstance(title, string_types): raise ValueError("title must be a string") if not title: title = '' else: title = title + " : " # -- Main analysis: Perform S-H-ESD num_obs = len(df.value) clamp = (1 / float(num_obs)) if max_anoms < clamp: max_anoms = clamp # -- Setup for longterm time series # If longterm is enabled, break the data into subset # data frames and store in all_data, if longterm_period: all_data = [] for j in range(0, len(df.timestamp), longterm_period): start_index = df.timestamp.iloc[j] end_index = min((start_index + longterm_period), num_obs) if (end_index - start_index) == longterm_period: sub_df = df[(df.timestamp >= start_index) & (df.timestamp <= end_index)] else: sub_df = df[(df.timestamp >= (num_obs - longterm_period)) & (df.timestamp <= num_obs)] all_data.append(sub_df) else: all_data = [df] # Create empty data frames to store all anoms and # seasonal+trend component from decomposition all_anoms = DataFrame(columns=['timestamp', 'value']) seasonal_plus_trend = DataFrame(columns=['timestamp', 'value']) # Detect anomalies on all data (either entire data in one-pass, # or in 2 week blocks if longterm=TRUE) for i in range(len(all_data)): directions = { 'pos': Direction(True, True), 'neg': Direction(True, False), 'both': Direction(False, True) } anomaly_direction = directions[direction] s_h_esd_timestamps = detect_anoms(all_data[i], k=max_anoms, alpha=alpha, num_obs_per_period=period, use_decomp=True, one_tail=anomaly_direction.one_tail, upper_tail=anomaly_direction.upper_tail, verbose=verbose) # store decomposed components in local variable and # overwrite s_h_esd_timestamps to contain only the anom timestamps data_decomp = s_h_esd_timestamps['stl'] s_h_esd_timestamps = s_h_esd_timestamps['anoms'] # -- Step 3: Use detected anomaly timestamps to # extract the actual anomalies (timestamp and value) from the data if s_h_esd_timestamps: anoms = all_data[i][all_data[i].timestamp.isin(s_h_esd_timestamps)] else: anoms = DataFrame(columns=['timestamp', 'value']) # Filter the anomalies using one of the thresholding # functions if applicable if threshold: # Calculate daily max values if isinstance(all_data[i].index[0], Timestamp): group = all_data[i].timestamp.map(Timestamp.date) else: group = all_data[i].timestamp.map(lambda t: int(t / period)) periodic_maxes = df.groupby(group).aggregate(np.max).value # Calculate the threshold set by the user if threshold == 'med_max': thresh = periodic_maxes.median() elif threshold == 'p95': thresh = periodic_maxes.quantile(.95) elif threshold == 'p99': thresh = periodic_maxes.quantile(.99) # Remove any anoms below the threshold anoms = anoms[anoms.value >= thresh] all_anoms = all_anoms.append(anoms) seasonal_plus_trend = seasonal_plus_trend.append(data_decomp) # Cleanup potential duplicates try: all_anoms.drop_duplicates(subset=['timestamp']) seasonal_plus_trend.drop_duplicates(subset=['timestamp']) except TypeError: all_anoms.drop_duplicates(cols=['timestamp']) seasonal_plus_trend.drop_duplicates(cols=['timestamp']) # -- If only_last was set by the user, create subset of # the data that represent the most recent period if only_last: d = { 'timestamp': df.timestamp.iloc[-period:], 'value': df.value.iloc[-period:] } x_subset_single_period = DataFrame(d, index = d['timestamp']) past_obs = period * 7 if num_obs < past_obs: past_obs = num_obs - period # When plotting anoms for the last period only we only show # the previous 7 periods of data d = { 'timestamp': df.timestamp.iloc[-past_obs:-period], 'value': df.value.iloc[-past_obs:-period] } x_subset_previous = DataFrame(d, index=d['timestamp']) all_anoms = all_anoms[all_anoms.timestamp >= x_subset_single_period.timestamp.iloc[0]] num_obs = len(x_subset_single_period.value) # Calculate number of anomalies as a percentage anom_pct = (len(df.value) / float(num_obs)) * 100 if anom_pct == 0: return { "anoms": None, "plot": None } # The original R implementation handles plotting here. # Plotting is currently not implemented. # if plot: # plot_something() all_anoms.index = all_anoms.timestamp if e_value: d = { 'timestamp': all_anoms.timestamp, 'anoms': all_anoms.value, 'expected_value': seasonal_plus_trend[ seasonal_plus_trend.timestamp.isin( all_anoms.timestamp)].value } else: d = { 'timestamp': all_anoms.timestamp, 'anoms': all_anoms.value } anoms = DataFrame(d, index=d['timestamp'].index) return { 'anoms': anoms, 'plot': None }

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"'value'", ']', ')', '# Detect anomalies on all data (either entire data in one-pass,', '# or in 2 week blocks if longterm=TRUE)', 'for', 'i', 'in', 'range', '(', 'len', '(', 'all_data', ')', ')', ':', 'directions', '=', '{', "'pos'", ':', 'Direction', '(', 'True', ',', 'True', ')', ',', "'neg'", ':', 'Direction', '(', 'True', ',', 'False', ')', ',', "'both'", ':', 'Direction', '(', 'False', ',', 'True', ')', '}', 'anomaly_direction', '=', 'directions', '[', 'direction', ']', 's_h_esd_timestamps', '=', 'detect_anoms', '(', 'all_data', '[', 'i', ']', ',', 'k', '=', 'max_anoms', ',', 'alpha', '=', 'alpha', ',', 'num_obs_per_period', '=', 'period', ',', 'use_decomp', '=', 'True', ',', 'one_tail', '=', 'anomaly_direction', '.', 'one_tail', ',', 'upper_tail', '=', 'anomaly_direction', '.', 'upper_tail', ',', 'verbose', '=', 'verbose', ')', '# store decomposed components in local variable and', '# overwrite s_h_esd_timestamps to contain only the anom timestamps', 'data_decomp', '=', 's_h_esd_timestamps', '[', "'stl'", ']', 's_h_esd_timestamps', '=', 's_h_esd_timestamps', '[', "'anoms'", ']', '# -- Step 3: Use detected anomaly timestamps to', '# extract the actual anomalies (timestamp and value) from the data', 'if', 's_h_esd_timestamps', ':', 'anoms', '=', 'all_data', '[', 'i', ']', '[', 'all_data', '[', 'i', ']', '.', 'timestamp', '.', 'isin', '(', 's_h_esd_timestamps', ')', ']', 'else', ':', 'anoms', '=', 'DataFrame', '(', 'columns', '=', '[', "'timestamp'", ',', "'value'", ']', ')', '# Filter the anomalies using one of the thresholding', '# functions if applicable', 'if', 'threshold', ':', '# Calculate daily max values', 'if', 'isinstance', '(', 'all_data', '[', 'i', ']', '.', 'index', '[', '0', ']', ',', 'Timestamp', ')', ':', 'group', '=', 'all_data', '[', 'i', ']', '.', 'timestamp', '.', 'map', '(', 'Timestamp', '.', 'date', ')', 'else', ':', 'group', '=', 'all_data', '[', 'i', ']', '.', 'timestamp', '.', 'map', '(', 'lambda', 't', ':', 'int', '(', 't', '/', 'period', ')', ')', 'periodic_maxes', '=', 'df', '.', 'groupby', '(', 'group', ')', '.', 'aggregate', '(', 'np', '.', 'max', ')', '.', 'value', '# Calculate the threshold set by the user', 'if', 'threshold', '==', "'med_max'", ':', 'thresh', '=', 'periodic_maxes', '.', 'median', '(', ')', 'elif', 'threshold', '==', "'p95'", ':', 'thresh', '=', 'periodic_maxes', '.', 'quantile', '(', '.95', ')', 'elif', 'threshold', '==', "'p99'", ':', 'thresh', '=', 'periodic_maxes', '.', 'quantile', '(', '.99', ')', '# Remove any anoms below the threshold', 'anoms', '=', 'anoms', '[', 'anoms', '.', 'value', '>=', 'thresh', ']', 'all_anoms', '=', 'all_anoms', '.', 'append', '(', 'anoms', ')', 'seasonal_plus_trend', '=', 'seasonal_plus_trend', '.', 'append', '(', 'data_decomp', ')', '# Cleanup potential duplicates', 'try', ':', 'all_anoms', '.', 'drop_duplicates', '(', 'subset', '=', '[', "'timestamp'", ']', ')', 'seasonal_plus_trend', '.', 'drop_duplicates', '(', 'subset', '=', '[', "'timestamp'", ']', 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Anomaly Detection Using Seasonal Hybrid ESD Test A technique for detecting anomalies in seasonal univariate time series where the input is a series of observations. Args: x: Time series as a column data frame, list, or vector, where the column consists of the observations. max_anoms: Maximum number of anomalies that S-H-ESD will detect as a percentage of the data. direction: Directionality of the anomalies to be detected. Options are: ('pos' | 'neg' | 'both'). alpha: The level of statistical significance with which to accept or reject anomalies. period: Defines the number of observations in a single period, and used during seasonal decomposition. only_last: Find and report anomalies only within the last period in the time series. threshold: Only report positive going anoms above the threshold specified. Options are: ('None' | 'med_max' | 'p95' | 'p99'). e_value: Add an additional column to the anoms output containing the expected value. longterm_period: Defines the number of observations for which the trend can be considered flat. The value should be an integer multiple of the number of observations in a single period. This increases anom detection efficacy for time series that are greater than a month. plot: (Currently unsupported) A flag indicating if a plot with both the time series and the estimated anoms, indicated by circles, should also be returned. y_log: Apply log scaling to the y-axis. This helps with viewing plots that have extremely large positive anomalies relative to the rest of the data. xlabel: X-axis label to be added to the output plot. ylabel: Y-axis label to be added to the output plot. Details 'longterm_period' This option should be set when the input time series is longer than a month. The option enables the approach described in Vallis, Hochenbaum, and Kejariwal (2014). 'threshold' Filter all negative anomalies and those anomalies whose magnitude is smaller than one of the specified thresholds which include: the median of the daily max values (med_max), the 95th percentile of the daily max values (p95), and the 99th percentile of the daily max values (p99). 'title' Title for the output plot. 'verbose' Enable debug messages The returned value is a dictionary with the following components: anoms: Data frame containing index, values, and optionally expected values. plot: A graphical object if plotting was requested by the user. The plot contains the estimated anomalies annotated on the input time series.

['Anomaly', 'Detection', 'Using', 'Seasonal', 'Hybrid', 'ESD', 'Test']

train

https://github.com/zrnsm/pyculiarity/blob/a06f5977cbf60a8805fd364f834aa09be108f2f3/pyculiarity/detect_vec.py#L11-L293

sentinelsat/sentinelsat

sentinelsat/sentinel.py

SentinelAPI.download

def download(self, id, directory_path='.', checksum=True): """Download a product. Uses the filename on the server for the downloaded file, e.g. "S1A_EW_GRDH_1SDH_20141003T003840_20141003T003920_002658_002F54_4DD1.zip". Incomplete downloads are continued and complete files are skipped. Parameters ---------- id : string UUID of the product, e.g. 'a8dd0cfd-613e-45ce-868c-d79177b916ed' directory_path : string, optional Where the file will be downloaded checksum : bool, optional If True, verify the downloaded file's integrity by checking its MD5 checksum. Throws InvalidChecksumError if the checksum does not match. Defaults to True. Returns ------- product_info : dict Dictionary containing the product's info from get_product_info() as well as the path on disk. Raises ------ InvalidChecksumError If the MD5 checksum does not match the checksum on the server. """ product_info = self.get_product_odata(id) path = join(directory_path, product_info['title'] + '.zip') product_info['path'] = path product_info['downloaded_bytes'] = 0 self.logger.info('Downloading %s to %s', id, path) if exists(path): # We assume that the product has been downloaded and is complete return product_info # An incomplete download triggers the retrieval from the LTA if the product is not online if not product_info['Online']: self.logger.warning( 'Product %s is not online. Triggering retrieval from long term archive.', product_info['id']) self._trigger_offline_retrieval(product_info['url']) return product_info # Use a temporary file for downloading temp_path = path + '.incomplete' skip_download = False if exists(temp_path): if getsize(temp_path) > product_info['size']: self.logger.warning( "Existing incomplete file %s is larger than the expected final size" " (%s vs %s bytes). Deleting it.", str(temp_path), getsize(temp_path), product_info['size']) remove(temp_path) elif getsize(temp_path) == product_info['size']: if self._md5_compare(temp_path, product_info['md5']): skip_download = True else: # Log a warning since this should never happen self.logger.warning( "Existing incomplete file %s appears to be fully downloaded but " "its checksum is incorrect. Deleting it.", str(temp_path)) remove(temp_path) else: # continue downloading self.logger.info( "Download will resume from existing incomplete file %s.", temp_path) pass if not skip_download: # Store the number of downloaded bytes for unit tests product_info['downloaded_bytes'] = self._download( product_info['url'], temp_path, self.session, product_info['size']) # Check integrity with MD5 checksum if checksum is True: if not self._md5_compare(temp_path, product_info['md5']): remove(temp_path) raise InvalidChecksumError('File corrupt: checksums do not match') # Download successful, rename the temporary file to its proper name shutil.move(temp_path, path) return product_info

python

def download(self, id, directory_path='.', checksum=True): """Download a product. Uses the filename on the server for the downloaded file, e.g. "S1A_EW_GRDH_1SDH_20141003T003840_20141003T003920_002658_002F54_4DD1.zip". Incomplete downloads are continued and complete files are skipped. Parameters ---------- id : string UUID of the product, e.g. 'a8dd0cfd-613e-45ce-868c-d79177b916ed' directory_path : string, optional Where the file will be downloaded checksum : bool, optional If True, verify the downloaded file's integrity by checking its MD5 checksum. Throws InvalidChecksumError if the checksum does not match. Defaults to True. Returns ------- product_info : dict Dictionary containing the product's info from get_product_info() as well as the path on disk. Raises ------ InvalidChecksumError If the MD5 checksum does not match the checksum on the server. """ product_info = self.get_product_odata(id) path = join(directory_path, product_info['title'] + '.zip') product_info['path'] = path product_info['downloaded_bytes'] = 0 self.logger.info('Downloading %s to %s', id, path) if exists(path): # We assume that the product has been downloaded and is complete return product_info # An incomplete download triggers the retrieval from the LTA if the product is not online if not product_info['Online']: self.logger.warning( 'Product %s is not online. Triggering retrieval from long term archive.', product_info['id']) self._trigger_offline_retrieval(product_info['url']) return product_info # Use a temporary file for downloading temp_path = path + '.incomplete' skip_download = False if exists(temp_path): if getsize(temp_path) > product_info['size']: self.logger.warning( "Existing incomplete file %s is larger than the expected final size" " (%s vs %s bytes). Deleting it.", str(temp_path), getsize(temp_path), product_info['size']) remove(temp_path) elif getsize(temp_path) == product_info['size']: if self._md5_compare(temp_path, product_info['md5']): skip_download = True else: # Log a warning since this should never happen self.logger.warning( "Existing incomplete file %s appears to be fully downloaded but " "its checksum is incorrect. Deleting it.", str(temp_path)) remove(temp_path) else: # continue downloading self.logger.info( "Download will resume from existing incomplete file %s.", temp_path) pass if not skip_download: # Store the number of downloaded bytes for unit tests product_info['downloaded_bytes'] = self._download( product_info['url'], temp_path, self.session, product_info['size']) # Check integrity with MD5 checksum if checksum is True: if not self._md5_compare(temp_path, product_info['md5']): remove(temp_path) raise InvalidChecksumError('File corrupt: checksums do not match') # Download successful, rename the temporary file to its proper name shutil.move(temp_path, path) return product_info

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['Download', 'a', 'product', '.']

train

https://github.com/sentinelsat/sentinelsat/blob/eacfd79ff4e7e939147db9dfdd393c67d64eecaa/sentinelsat/sentinel.py#L463-L552

explosion/thinc

examples/spacy_tagger.py

Shape

def Shape(docs, drop=0.0): """Get word shapes.""" ids = numpy.zeros((sum(len(doc) for doc in docs),), dtype="i") i = 0 for doc in docs: for token in doc: ids[i] = token.shape i += 1 return ids, None

python

def Shape(docs, drop=0.0): """Get word shapes.""" ids = numpy.zeros((sum(len(doc) for doc in docs),), dtype="i") i = 0 for doc in docs: for token in doc: ids[i] = token.shape i += 1 return ids, None

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Get word shapes.

['Get', 'word', 'shapes', '.']

train

https://github.com/explosion/thinc/blob/90129be5f0d6c665344245a7c37dbe1b8afceea2/examples/spacy_tagger.py#L58-L66

bitshares/uptick

uptick/wallet.py

addkey

def addkey(ctx, key): """ Add a private key to the wallet """ if not key: while True: key = click.prompt( "Private Key (wif) [Enter to quit]", hide_input=True, show_default=False, default="exit", ) if not key or key == "exit": break try: ctx.bitshares.wallet.addPrivateKey(key) except Exception as e: click.echo(str(e)) continue else: for k in key: try: ctx.bitshares.wallet.addPrivateKey(k) except Exception as e: click.echo(str(e)) installedKeys = ctx.bitshares.wallet.getPublicKeys() if len(installedKeys) == 1: name = ctx.bitshares.wallet.getAccountFromPublicKey(installedKeys[0]) if name: # only if a name to the key was found account = Account(name, bitshares_instance=ctx.bitshares) click.echo("=" * 30) click.echo("Setting new default user: %s" % account["name"]) click.echo() click.echo("You can change these settings with:") click.echo(" uptick set default_account <account>") click.echo("=" * 30) config["default_account"] = account["name"]

python

def addkey(ctx, key): """ Add a private key to the wallet """ if not key: while True: key = click.prompt( "Private Key (wif) [Enter to quit]", hide_input=True, show_default=False, default="exit", ) if not key or key == "exit": break try: ctx.bitshares.wallet.addPrivateKey(key) except Exception as e: click.echo(str(e)) continue else: for k in key: try: ctx.bitshares.wallet.addPrivateKey(k) except Exception as e: click.echo(str(e)) installedKeys = ctx.bitshares.wallet.getPublicKeys() if len(installedKeys) == 1: name = ctx.bitshares.wallet.getAccountFromPublicKey(installedKeys[0]) if name: # only if a name to the key was found account = Account(name, bitshares_instance=ctx.bitshares) click.echo("=" * 30) click.echo("Setting new default user: %s" % account["name"]) click.echo() click.echo("You can change these settings with:") click.echo(" uptick set default_account <account>") click.echo("=" * 30) config["default_account"] = account["name"]

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Add a private key to the wallet

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train

https://github.com/bitshares/uptick/blob/66c102200fdbf96cef4fd55cc69d00e690f62001/uptick/wallet.py#L47-L83

nhoffman/fastalite

fastalite/fastalite.py

fastalite

def fastalite(handle): """Return a sequence of namedtuple objects from a fasta file with attributes (id, description, seq) given open file-like object ``handle`` """ Seq = namedtuple('Seq', ['id', 'description', 'seq']) header, seq = '', [] for line in handle: if line.startswith('>'): if header: yield Seq(header.split()[0], header, ''.join(seq)) header, seq = line[1:].strip(), [] else: seq.append(line.strip()) if header and seq: yield Seq(header.split()[0], header, ''.join(seq))

python

def fastalite(handle): """Return a sequence of namedtuple objects from a fasta file with attributes (id, description, seq) given open file-like object ``handle`` """ Seq = namedtuple('Seq', ['id', 'description', 'seq']) header, seq = '', [] for line in handle: if line.startswith('>'): if header: yield Seq(header.split()[0], header, ''.join(seq)) header, seq = line[1:].strip(), [] else: seq.append(line.strip()) if header and seq: yield Seq(header.split()[0], header, ''.join(seq))

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train

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santoshphilip/eppy

eppy/modeleditor.py

IDF.newidfobject

def newidfobject(self, key, aname='', defaultvalues=True, **kwargs): """ Add a new idfobject to the model. If you don't specify a value for a field, the default value will be set. For example :: newidfobject("CONSTRUCTION") newidfobject("CONSTRUCTION", Name='Interior Ceiling_class', Outside_Layer='LW Concrete', Layer_2='soundmat') Parameters ---------- key : str The type of IDF object. This must be in ALL_CAPS. aname : str, deprecated This parameter is not used. It is left there for backward compatibility. defaultvalues: boolean default is True. If True default values WILL be set. If False, default values WILL NOT be set **kwargs Keyword arguments in the format `field=value` used to set the value of fields in the IDF object when it is created. Returns ------- EpBunch object """ obj = newrawobject(self.model, self.idd_info, key, block=self.block, defaultvalues=defaultvalues) abunch = obj2bunch(self.model, self.idd_info, obj) if aname: warnings.warn("The aname parameter should no longer be used.", UserWarning) namebunch(abunch, aname) self.idfobjects[key].append(abunch) for k, v in list(kwargs.items()): abunch[k] = v return abunch

python

def newidfobject(self, key, aname='', defaultvalues=True, **kwargs): """ Add a new idfobject to the model. If you don't specify a value for a field, the default value will be set. For example :: newidfobject("CONSTRUCTION") newidfobject("CONSTRUCTION", Name='Interior Ceiling_class', Outside_Layer='LW Concrete', Layer_2='soundmat') Parameters ---------- key : str The type of IDF object. This must be in ALL_CAPS. aname : str, deprecated This parameter is not used. It is left there for backward compatibility. defaultvalues: boolean default is True. If True default values WILL be set. If False, default values WILL NOT be set **kwargs Keyword arguments in the format `field=value` used to set the value of fields in the IDF object when it is created. Returns ------- EpBunch object """ obj = newrawobject(self.model, self.idd_info, key, block=self.block, defaultvalues=defaultvalues) abunch = obj2bunch(self.model, self.idd_info, obj) if aname: warnings.warn("The aname parameter should no longer be used.", UserWarning) namebunch(abunch, aname) self.idfobjects[key].append(abunch) for k, v in list(kwargs.items()): abunch[k] = v return abunch

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train

https://github.com/santoshphilip/eppy/blob/55410ff7c11722f35bc4331ff5e00a0b86f787e1/eppy/modeleditor.py#L713-L755

KelSolaar/Umbra

umbra/components/factory/script_editor/models.py

ProjectsModel.register_file

def register_file(self, file, parent, ensure_uniqueness=False): """ Registers given file in the Model. :param file: File to register. :type file: unicode :param parent: FileNode parent. :type parent: GraphModelNode :param ensure_uniqueness: Ensure registrar uniqueness. :type ensure_uniqueness: bool :return: FileNode. :rtype: FileNode """ if ensure_uniqueness: if self.get_file_nodes(file): raise foundations.exceptions.ProgrammingError("{0} | '{1}' file is already registered!".format( self.__class__.__name__, file)) LOGGER.debug("> Registering '{0}' file.".format(file)) row = parent.children_count() self.beginInsertRows(self.get_node_index(parent), row, row) file_node = FileNode(name=os.path.basename(file), path=file, parent=parent) self.endInsertRows() self.file_registered.emit(file_node) return file_node

python

def register_file(self, file, parent, ensure_uniqueness=False): """ Registers given file in the Model. :param file: File to register. :type file: unicode :param parent: FileNode parent. :type parent: GraphModelNode :param ensure_uniqueness: Ensure registrar uniqueness. :type ensure_uniqueness: bool :return: FileNode. :rtype: FileNode """ if ensure_uniqueness: if self.get_file_nodes(file): raise foundations.exceptions.ProgrammingError("{0} | '{1}' file is already registered!".format( self.__class__.__name__, file)) LOGGER.debug("> Registering '{0}' file.".format(file)) row = parent.children_count() self.beginInsertRows(self.get_node_index(parent), row, row) file_node = FileNode(name=os.path.basename(file), path=file, parent=parent) self.endInsertRows() self.file_registered.emit(file_node) return file_node

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train

https://github.com/KelSolaar/Umbra/blob/66f45f08d9d723787f1191989f8b0dda84b412ce/umbra/components/factory/script_editor/models.py#L442-L472

twilio/twilio-python

twilio/rest/wireless/v1/sim/__init__.py

SimContext.usage_records

def usage_records(self): """ Access the usage_records :returns: twilio.rest.wireless.v1.sim.usage_record.UsageRecordList :rtype: twilio.rest.wireless.v1.sim.usage_record.UsageRecordList """ if self._usage_records is None: self._usage_records = UsageRecordList(self._version, sim_sid=self._solution['sid'], ) return self._usage_records

python

def usage_records(self): """ Access the usage_records :returns: twilio.rest.wireless.v1.sim.usage_record.UsageRecordList :rtype: twilio.rest.wireless.v1.sim.usage_record.UsageRecordList """ if self._usage_records is None: self._usage_records = UsageRecordList(self._version, sim_sid=self._solution['sid'], ) return self._usage_records

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Access the usage_records :returns: twilio.rest.wireless.v1.sim.usage_record.UsageRecordList :rtype: twilio.rest.wireless.v1.sim.usage_record.UsageRecordList

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train

https://github.com/twilio/twilio-python/blob/c867895f55dcc29f522e6e8b8868d0d18483132f/twilio/rest/wireless/v1/sim/__init__.py#L345-L354

CI-WATER/gsshapy

gsshapy/orm/evt.py

ProjectFileEventManager._write

def _write(self, session, openFile, replaceParamFile=None): """ ProjectFileEvent Write to File Method """ openFile.write( text( yaml.dump([evt.as_yml() for evt in self.events.order_by(ProjectFileEvent.name, ProjectFileEvent.subfolder)] ) ) )

python

def _write(self, session, openFile, replaceParamFile=None): """ ProjectFileEvent Write to File Method """ openFile.write( text( yaml.dump([evt.as_yml() for evt in self.events.order_by(ProjectFileEvent.name, ProjectFileEvent.subfolder)] ) ) )

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ProjectFileEvent Write to File Method

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train

https://github.com/CI-WATER/gsshapy/blob/00fd4af0fd65f1614d75a52fe950a04fb0867f4c/gsshapy/orm/evt.py#L48-L59

crate/crate-python

src/crate/client/blob.py

BlobContainer.exists

def exists(self, digest): """ Check if a blob exists :param digest: Hex digest of the blob :return: Boolean indicating existence of the blob """ return self.conn.client.blob_exists(self.container_name, digest)

python

def exists(self, digest): """ Check if a blob exists :param digest: Hex digest of the blob :return: Boolean indicating existence of the blob """ return self.conn.client.blob_exists(self.container_name, digest)

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Check if a blob exists :param digest: Hex digest of the blob :return: Boolean indicating existence of the blob

['Check', 'if', 'a', 'blob', 'exists']

train

https://github.com/crate/crate-python/blob/68e39c95f5bbe88b74bbfa26de4347fc644636a8/src/crate/client/blob.py#L93-L100

SFDO-Tooling/CumulusCI

cumulusci/cli/cci.py

timestamp_file

def timestamp_file(): """Opens a file for tracking the time of the last version check""" config_dir = os.path.join( os.path.expanduser("~"), BaseGlobalConfig.config_local_dir ) if not os.path.exists(config_dir): os.mkdir(config_dir) timestamp_file = os.path.join(config_dir, "cumulus_timestamp") try: with open(timestamp_file, "r+") as f: yield f except IOError: # file does not exist with open(timestamp_file, "w+") as f: yield f

python

def timestamp_file(): """Opens a file for tracking the time of the last version check""" config_dir = os.path.join( os.path.expanduser("~"), BaseGlobalConfig.config_local_dir ) if not os.path.exists(config_dir): os.mkdir(config_dir) timestamp_file = os.path.join(config_dir, "cumulus_timestamp") try: with open(timestamp_file, "r+") as f: yield f except IOError: # file does not exist with open(timestamp_file, "w+") as f: yield f

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Opens a file for tracking the time of the last version check

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train

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AustralianSynchrotron/lightflow

lightflow/models/signal.py

Client.send

def send(self, request): """ Send a request to the server and wait for its response. Args: request (Request): Reference to a request object that is sent to the server. Returns: Response: The response from the server to the request. """ self._connection.connection.rpush(self._request_key, pickle.dumps(request)) resp_key = '{}:{}'.format(SIGNAL_REDIS_PREFIX, request.uid) while True: if self._connection.polling_time > 0.0: sleep(self._connection.polling_time) response_data = self._connection.connection.get(resp_key) if response_data is not None: self._connection.connection.delete(resp_key) break return pickle.loads(response_data)

python

def send(self, request): """ Send a request to the server and wait for its response. Args: request (Request): Reference to a request object that is sent to the server. Returns: Response: The response from the server to the request. """ self._connection.connection.rpush(self._request_key, pickle.dumps(request)) resp_key = '{}:{}'.format(SIGNAL_REDIS_PREFIX, request.uid) while True: if self._connection.polling_time > 0.0: sleep(self._connection.polling_time) response_data = self._connection.connection.get(resp_key) if response_data is not None: self._connection.connection.delete(resp_key) break return pickle.loads(response_data)

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train

https://github.com/AustralianSynchrotron/lightflow/blob/dc53dbc1d961e20fb144273baca258060705c03e/lightflow/models/signal.py#L171-L192

oceanprotocol/squid-py

squid_py/agreements/service_agreement_condition.py

Parameter.as_dictionary

def as_dictionary(self): """ Return the parameter as a dictionary. :return: dict """ return { "name": self.name, "type": self.type, "value": remove_0x_prefix(self.value) if self.type == 'bytes32' else self.value }

python

def as_dictionary(self): """ Return the parameter as a dictionary. :return: dict """ return { "name": self.name, "type": self.type, "value": remove_0x_prefix(self.value) if self.type == 'bytes32' else self.value }

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Return the parameter as a dictionary. :return: dict

['Return', 'the', 'parameter', 'as', 'a', 'dictionary', '.']

train

https://github.com/oceanprotocol/squid-py/blob/43a5b7431627e4c9ab7382ed9eb8153e96ed4483/squid_py/agreements/service_agreement_condition.py#L21-L31

graphql-python/graphql-core

graphql/language/parser.py

loc

def loc(parser, start): # type: (Parser, int) -> Optional[Loc] """Returns a location object, used to identify the place in the source that created a given parsed object.""" if parser.options["no_location"]: return None if parser.options["no_source"]: return Loc(start, parser.prev_end) return Loc(start, parser.prev_end, parser.source)

python

def loc(parser, start): # type: (Parser, int) -> Optional[Loc] """Returns a location object, used to identify the place in the source that created a given parsed object.""" if parser.options["no_location"]: return None if parser.options["no_source"]: return Loc(start, parser.prev_end) return Loc(start, parser.prev_end, parser.source)

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Returns a location object, used to identify the place in the source that created a given parsed object.

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train

https://github.com/graphql-python/graphql-core/blob/d8e9d3abe7c209eb2f51cf001402783bfd480596/graphql/language/parser.py#L114-L124

fabioz/PyDev.Debugger

pydevd_attach_to_process/winappdbg/debug.py

Debug.execl

def execl(self, lpCmdLine, **kwargs): """ Starts a new process for debugging. This method uses a command line string. To use a list of arguments instead, use L{execv}. @see: L{attach}, L{detach} @type lpCmdLine: str @param lpCmdLine: Command line string to execute. The first token must be the debugee executable filename. Tokens with spaces must be enclosed in double quotes. Tokens including double quote characters must be escaped with a backslash. @type bBreakOnEntryPoint: bool @keyword bBreakOnEntryPoint: C{True} to automatically set a breakpoint at the program entry point. Defaults to C{False}. @type bConsole: bool @keyword bConsole: True to inherit the console of the debugger. Defaults to C{False}. @type bFollow: bool @keyword bFollow: C{True} to automatically attach to child processes. Defaults to C{False}. @type bInheritHandles: bool @keyword bInheritHandles: C{True} if the new process should inherit it's parent process' handles. Defaults to C{False}. @type bSuspended: bool @keyword bSuspended: C{True} to suspend the main thread before any code is executed in the debugee. Defaults to C{False}. @type dwParentProcessId: int or None @keyword dwParentProcessId: C{None} or C{0} if the debugger process should be the parent process (default), or a process ID to forcefully set as the debugee's parent (only available for Windows Vista and above). In hostile mode, the default is not the debugger process but the process ID for "explorer.exe". @type iTrustLevel: int @keyword iTrustLevel: Trust level. Must be one of the following values: - 0: B{No trust}. May not access certain resources, such as cryptographic keys and credentials. Only available since Windows XP and 2003, desktop editions. This is the default in hostile mode. - 1: B{Normal trust}. Run with the same privileges as a normal user, that is, one that doesn't have the I{Administrator} or I{Power User} user rights. Only available since Windows XP and 2003, desktop editions. - 2: B{Full trust}. Run with the exact same privileges as the current user. This is the default in normal mode. @type bAllowElevation: bool @keyword bAllowElevation: C{True} to allow the child process to keep UAC elevation, if the debugger itself is running elevated. C{False} to ensure the child process doesn't run with elevation. Defaults to C{True} in normal mode and C{False} in hostile mode. This flag is only meaningful on Windows Vista and above, and if the debugger itself is running with elevation. It can be used to make sure the child processes don't run elevated as well. This flag DOES NOT force an elevation prompt when the debugger is not running with elevation. Note that running the debugger with elevation (or the Python interpreter at all for that matter) is not normally required. You should only need to if the target program requires elevation to work properly (for example if you try to debug an installer). @rtype: L{Process} @return: A new Process object. Normally you don't need to use it now, it's best to interact with the process from the event handler. @raise WindowsError: Raises an exception on error. """ if type(lpCmdLine) not in (str, compat.unicode): warnings.warn("Debug.execl expects a string") # Set the "debug" flag to True. kwargs['bDebug'] = True # Pop the "break on entry point" flag. bBreakOnEntryPoint = kwargs.pop('bBreakOnEntryPoint', False) # Set the default trust level if requested. if 'iTrustLevel' not in kwargs: if self.__bHostileCode: kwargs['iTrustLevel'] = 0 else: kwargs['iTrustLevel'] = 2 # Set the default UAC elevation flag if requested. if 'bAllowElevation' not in kwargs: kwargs['bAllowElevation'] = not self.__bHostileCode # In hostile mode the default parent process is explorer.exe. # Only supported for Windows Vista and above. if self.__bHostileCode and not kwargs.get('dwParentProcessId', None): try: vista_and_above = self.__vista_and_above except AttributeError: osi = win32.OSVERSIONINFOEXW() osi.dwMajorVersion = 6 osi.dwMinorVersion = 0 osi.dwPlatformId = win32.VER_PLATFORM_WIN32_NT mask = 0 mask = win32.VerSetConditionMask(mask, win32.VER_MAJORVERSION, win32.VER_GREATER_EQUAL) mask = win32.VerSetConditionMask(mask, win32.VER_MAJORVERSION, win32.VER_GREATER_EQUAL) mask = win32.VerSetConditionMask(mask, win32.VER_PLATFORMID, win32.VER_EQUAL) vista_and_above = win32.VerifyVersionInfoW(osi, win32.VER_MAJORVERSION | \ win32.VER_MINORVERSION | \ win32.VER_PLATFORMID, mask) self.__vista_and_above = vista_and_above if vista_and_above: dwParentProcessId = self.system.get_explorer_pid() if dwParentProcessId: kwargs['dwParentProcessId'] = dwParentProcessId else: msg = ("Failed to find \"explorer.exe\"!" " Using the debugger as parent process.") warnings.warn(msg, RuntimeWarning) # Start the new process. aProcess = None try: aProcess = self.system.start_process(lpCmdLine, **kwargs) dwProcessId = aProcess.get_pid() # Match the system kill-on-exit flag to our own. self.__setSystemKillOnExitMode() # Warn when mixing 32 and 64 bits. # This also allows the user to stop attaching altogether, # depending on how the warnings are configured. if System.bits != aProcess.get_bits(): msg = "Mixture of 32 and 64 bits is considered experimental." \ " Use at your own risk!" warnings.warn(msg, MixedBitsWarning) # Add the new PID to the set of debugees. self.__startedDebugees.add(dwProcessId) # Add the new PID to the set of "break on EP" debugees if needed. if bBreakOnEntryPoint: self.__breakOnEP.add(dwProcessId) # Return the Process object. return aProcess # On error kill the new process and raise an exception. except: if aProcess is not None: try: try: self.__startedDebugees.remove(aProcess.get_pid()) except KeyError: pass finally: try: try: self.__breakOnEP.remove(aProcess.get_pid()) except KeyError: pass finally: try: aProcess.kill() except Exception: pass raise

python

def execl(self, lpCmdLine, **kwargs): """ Starts a new process for debugging. This method uses a command line string. To use a list of arguments instead, use L{execv}. @see: L{attach}, L{detach} @type lpCmdLine: str @param lpCmdLine: Command line string to execute. The first token must be the debugee executable filename. Tokens with spaces must be enclosed in double quotes. Tokens including double quote characters must be escaped with a backslash. @type bBreakOnEntryPoint: bool @keyword bBreakOnEntryPoint: C{True} to automatically set a breakpoint at the program entry point. Defaults to C{False}. @type bConsole: bool @keyword bConsole: True to inherit the console of the debugger. Defaults to C{False}. @type bFollow: bool @keyword bFollow: C{True} to automatically attach to child processes. Defaults to C{False}. @type bInheritHandles: bool @keyword bInheritHandles: C{True} if the new process should inherit it's parent process' handles. Defaults to C{False}. @type bSuspended: bool @keyword bSuspended: C{True} to suspend the main thread before any code is executed in the debugee. Defaults to C{False}. @type dwParentProcessId: int or None @keyword dwParentProcessId: C{None} or C{0} if the debugger process should be the parent process (default), or a process ID to forcefully set as the debugee's parent (only available for Windows Vista and above). In hostile mode, the default is not the debugger process but the process ID for "explorer.exe". @type iTrustLevel: int @keyword iTrustLevel: Trust level. Must be one of the following values: - 0: B{No trust}. May not access certain resources, such as cryptographic keys and credentials. Only available since Windows XP and 2003, desktop editions. This is the default in hostile mode. - 1: B{Normal trust}. Run with the same privileges as a normal user, that is, one that doesn't have the I{Administrator} or I{Power User} user rights. Only available since Windows XP and 2003, desktop editions. - 2: B{Full trust}. Run with the exact same privileges as the current user. This is the default in normal mode. @type bAllowElevation: bool @keyword bAllowElevation: C{True} to allow the child process to keep UAC elevation, if the debugger itself is running elevated. C{False} to ensure the child process doesn't run with elevation. Defaults to C{True} in normal mode and C{False} in hostile mode. This flag is only meaningful on Windows Vista and above, and if the debugger itself is running with elevation. It can be used to make sure the child processes don't run elevated as well. This flag DOES NOT force an elevation prompt when the debugger is not running with elevation. Note that running the debugger with elevation (or the Python interpreter at all for that matter) is not normally required. You should only need to if the target program requires elevation to work properly (for example if you try to debug an installer). @rtype: L{Process} @return: A new Process object. Normally you don't need to use it now, it's best to interact with the process from the event handler. @raise WindowsError: Raises an exception on error. """ if type(lpCmdLine) not in (str, compat.unicode): warnings.warn("Debug.execl expects a string") # Set the "debug" flag to True. kwargs['bDebug'] = True # Pop the "break on entry point" flag. bBreakOnEntryPoint = kwargs.pop('bBreakOnEntryPoint', False) # Set the default trust level if requested. if 'iTrustLevel' not in kwargs: if self.__bHostileCode: kwargs['iTrustLevel'] = 0 else: kwargs['iTrustLevel'] = 2 # Set the default UAC elevation flag if requested. if 'bAllowElevation' not in kwargs: kwargs['bAllowElevation'] = not self.__bHostileCode # In hostile mode the default parent process is explorer.exe. # Only supported for Windows Vista and above. if self.__bHostileCode and not kwargs.get('dwParentProcessId', None): try: vista_and_above = self.__vista_and_above except AttributeError: osi = win32.OSVERSIONINFOEXW() osi.dwMajorVersion = 6 osi.dwMinorVersion = 0 osi.dwPlatformId = win32.VER_PLATFORM_WIN32_NT mask = 0 mask = win32.VerSetConditionMask(mask, win32.VER_MAJORVERSION, win32.VER_GREATER_EQUAL) mask = win32.VerSetConditionMask(mask, win32.VER_MAJORVERSION, win32.VER_GREATER_EQUAL) mask = win32.VerSetConditionMask(mask, win32.VER_PLATFORMID, win32.VER_EQUAL) vista_and_above = win32.VerifyVersionInfoW(osi, win32.VER_MAJORVERSION | \ win32.VER_MINORVERSION | \ win32.VER_PLATFORMID, mask) self.__vista_and_above = vista_and_above if vista_and_above: dwParentProcessId = self.system.get_explorer_pid() if dwParentProcessId: kwargs['dwParentProcessId'] = dwParentProcessId else: msg = ("Failed to find \"explorer.exe\"!" " Using the debugger as parent process.") warnings.warn(msg, RuntimeWarning) # Start the new process. aProcess = None try: aProcess = self.system.start_process(lpCmdLine, **kwargs) dwProcessId = aProcess.get_pid() # Match the system kill-on-exit flag to our own. self.__setSystemKillOnExitMode() # Warn when mixing 32 and 64 bits. # This also allows the user to stop attaching altogether, # depending on how the warnings are configured. if System.bits != aProcess.get_bits(): msg = "Mixture of 32 and 64 bits is considered experimental." \ " Use at your own risk!" warnings.warn(msg, MixedBitsWarning) # Add the new PID to the set of debugees. self.__startedDebugees.add(dwProcessId) # Add the new PID to the set of "break on EP" debugees if needed. if bBreakOnEntryPoint: self.__breakOnEP.add(dwProcessId) # Return the Process object. return aProcess # On error kill the new process and raise an exception. except: if aProcess is not None: try: try: self.__startedDebugees.remove(aProcess.get_pid()) except KeyError: pass finally: try: try: self.__breakOnEP.remove(aProcess.get_pid()) except KeyError: pass finally: try: aProcess.kill() except Exception: pass raise

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nugget/python-insteonplm

insteonplm/__init__.py

Connection.dump_conndata

def dump_conndata(self): """Developer tool for debugging forensics.""" attrs = vars(self) return ', '.join("%s: %s" % item for item in attrs.items())

python

def dump_conndata(self): """Developer tool for debugging forensics.""" attrs = vars(self) return ', '.join("%s: %s" % item for item in attrs.items())

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Developer tool for debugging forensics.

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ets-labs/python-domain-models

domain_models/views.py

ContextViewMetaClass.get_properties

def get_properties(attributes): """Return tuple of names of defined properties. :type attributes: dict :rtype: list """ return [key for key, value in six.iteritems(attributes) if isinstance(value, property)]

python

def get_properties(attributes): """Return tuple of names of defined properties. :type attributes: dict :rtype: list """ return [key for key, value in six.iteritems(attributes) if isinstance(value, property)]

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Return tuple of names of defined properties. :type attributes: dict :rtype: list

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SKA-ScienceDataProcessor/integration-prototype

sip/execution_control/configuration_db/sip_config_db/scheduling/scheduling_block_instance.py

SchedulingBlockInstance.abort

def abort(self): """Abort the SBI (and associated PBs).""" self.set_status('aborted') DB.remove_from_list('{}:active'.format(self._type), self._id) DB.append_to_list('{}:aborted'.format(self._type), self._id) sbi_pb_ids = ast.literal_eval( DB.get_hash_value(self._key, 'processing_block_ids')) for pb_id in sbi_pb_ids: pb = ProcessingBlock(pb_id) pb.abort()

python

def abort(self): """Abort the SBI (and associated PBs).""" self.set_status('aborted') DB.remove_from_list('{}:active'.format(self._type), self._id) DB.append_to_list('{}:aborted'.format(self._type), self._id) sbi_pb_ids = ast.literal_eval( DB.get_hash_value(self._key, 'processing_block_ids')) for pb_id in sbi_pb_ids: pb = ProcessingBlock(pb_id) pb.abort()

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cuihantao/andes

andes/models/jit.py

JIT.jit_load

def jit_load(self): """ Import and instantiate this JIT object Returns ------- """ try: model = importlib.import_module('.' + self.model, 'andes.models') device = getattr(model, self.device) self.system.__dict__[self.name] = device(self.system, self.name) g = self.system.__dict__[self.name]._group self.system.group_add(g) self.system.__dict__[g].register_model(self.name) # register device after loading self.system.devman.register_device(self.name) self.loaded = 1 logger.debug('Imported model <{:s}.{:s}>.'.format( self.model, self.device)) except ImportError: logger.error( 'non-JIT model <{:s}.{:s}> import error' .format(self.model, self.device)) except AttributeError: logger.error( 'model <{:s}.{:s}> not exist. Check models/__init__.py' .format(self.model, self.device))

python

def jit_load(self): """ Import and instantiate this JIT object Returns ------- """ try: model = importlib.import_module('.' + self.model, 'andes.models') device = getattr(model, self.device) self.system.__dict__[self.name] = device(self.system, self.name) g = self.system.__dict__[self.name]._group self.system.group_add(g) self.system.__dict__[g].register_model(self.name) # register device after loading self.system.devman.register_device(self.name) self.loaded = 1 logger.debug('Imported model <{:s}.{:s}>.'.format( self.model, self.device)) except ImportError: logger.error( 'non-JIT model <{:s}.{:s}> import error' .format(self.model, self.device)) except AttributeError: logger.error( 'model <{:s}.{:s}> not exist. Check models/__init__.py' .format(self.model, self.device))

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train

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saltstack/salt

salt/modules/cassandra_cql.py

_connect

def _connect(contact_points=None, port=None, cql_user=None, cql_pass=None, protocol_version=None): ''' Connect to a Cassandra cluster. :param contact_points: The Cassandra cluster addresses, can either be a string or a list of IPs. :type contact_points: str or list of str :param cql_user: The Cassandra user if authentication is turned on. :type cql_user: str :param cql_pass: The Cassandra user password if authentication is turned on. :type cql_pass: str :param port: The Cassandra cluster port, defaults to None. :type port: int :param protocol_version: Cassandra protocol version to use. :type port: int :return: The session and cluster objects. :rtype: cluster object, session object ''' # Lazy load the Cassandra cluster and session for this module by creating a # cluster and session when cql_query is called the first time. Get the # Cassandra cluster and session from this module's __context__ after it is # loaded the first time cql_query is called. # # TODO: Call cluster.shutdown() when the module is unloaded on # master/minion shutdown. Currently, Master.shutdown() and Minion.shutdown() # do nothing to allow loaded modules to gracefully handle resources stored # in __context__ (i.e. connection pools). This means that the connection # pool is orphaned and Salt relies on Cassandra to reclaim connections. # Perhaps if Master/Minion daemons could be enhanced to call an "__unload__" # function, or something similar for each loaded module, connection pools # and the like can be gracefully reclaimed/shutdown. if (__context__ and 'cassandra_cql_returner_cluster' in __context__ and 'cassandra_cql_returner_session' in __context__): return __context__['cassandra_cql_returner_cluster'], __context__['cassandra_cql_returner_session'] else: contact_points = _load_properties(property_name=contact_points, config_option='cluster') contact_points = contact_points if isinstance(contact_points, list) else contact_points.split(',') port = _load_properties(property_name=port, config_option='port', set_default=True, default=9042) cql_user = _load_properties(property_name=cql_user, config_option='username', set_default=True, default="cassandra") cql_pass = _load_properties(property_name=cql_pass, config_option='password', set_default=True, default="cassandra") protocol_version = _load_properties(property_name=protocol_version, config_option='protocol_version', set_default=True, default=4) try: auth_provider = PlainTextAuthProvider(username=cql_user, password=cql_pass) ssl_opts = _get_ssl_opts() if ssl_opts: cluster = Cluster(contact_points, port=port, auth_provider=auth_provider, ssl_options=ssl_opts, protocol_version=protocol_version, compression=True) else: cluster = Cluster(contact_points, port=port, auth_provider=auth_provider, protocol_version=protocol_version, compression=True) for recontimes in range(1, 4): try: session = cluster.connect() break except OperationTimedOut: log.warning('Cassandra cluster.connect timed out, try %s', recontimes) if recontimes >= 3: raise # TODO: Call cluster.shutdown() when the module is unloaded on shutdown. __context__['cassandra_cql_returner_cluster'] = cluster __context__['cassandra_cql_returner_session'] = session __context__['cassandra_cql_prepared'] = {} log.debug('Successfully connected to Cassandra cluster at %s', contact_points) return cluster, session except TypeError: pass except (ConnectionException, ConnectionShutdown, NoHostAvailable): log.error('Could not connect to Cassandra cluster at %s', contact_points) raise CommandExecutionError('ERROR: Could not connect to Cassandra cluster.')

python

def _connect(contact_points=None, port=None, cql_user=None, cql_pass=None, protocol_version=None): ''' Connect to a Cassandra cluster. :param contact_points: The Cassandra cluster addresses, can either be a string or a list of IPs. :type contact_points: str or list of str :param cql_user: The Cassandra user if authentication is turned on. :type cql_user: str :param cql_pass: The Cassandra user password if authentication is turned on. :type cql_pass: str :param port: The Cassandra cluster port, defaults to None. :type port: int :param protocol_version: Cassandra protocol version to use. :type port: int :return: The session and cluster objects. :rtype: cluster object, session object ''' # Lazy load the Cassandra cluster and session for this module by creating a # cluster and session when cql_query is called the first time. Get the # Cassandra cluster and session from this module's __context__ after it is # loaded the first time cql_query is called. # # TODO: Call cluster.shutdown() when the module is unloaded on # master/minion shutdown. Currently, Master.shutdown() and Minion.shutdown() # do nothing to allow loaded modules to gracefully handle resources stored # in __context__ (i.e. connection pools). This means that the connection # pool is orphaned and Salt relies on Cassandra to reclaim connections. # Perhaps if Master/Minion daemons could be enhanced to call an "__unload__" # function, or something similar for each loaded module, connection pools # and the like can be gracefully reclaimed/shutdown. if (__context__ and 'cassandra_cql_returner_cluster' in __context__ and 'cassandra_cql_returner_session' in __context__): return __context__['cassandra_cql_returner_cluster'], __context__['cassandra_cql_returner_session'] else: contact_points = _load_properties(property_name=contact_points, config_option='cluster') contact_points = contact_points if isinstance(contact_points, list) else contact_points.split(',') port = _load_properties(property_name=port, config_option='port', set_default=True, default=9042) cql_user = _load_properties(property_name=cql_user, config_option='username', set_default=True, default="cassandra") cql_pass = _load_properties(property_name=cql_pass, config_option='password', set_default=True, default="cassandra") protocol_version = _load_properties(property_name=protocol_version, config_option='protocol_version', set_default=True, default=4) try: auth_provider = PlainTextAuthProvider(username=cql_user, password=cql_pass) ssl_opts = _get_ssl_opts() if ssl_opts: cluster = Cluster(contact_points, port=port, auth_provider=auth_provider, ssl_options=ssl_opts, protocol_version=protocol_version, compression=True) else: cluster = Cluster(contact_points, port=port, auth_provider=auth_provider, protocol_version=protocol_version, compression=True) for recontimes in range(1, 4): try: session = cluster.connect() break except OperationTimedOut: log.warning('Cassandra cluster.connect timed out, try %s', recontimes) if recontimes >= 3: raise # TODO: Call cluster.shutdown() when the module is unloaded on shutdown. __context__['cassandra_cql_returner_cluster'] = cluster __context__['cassandra_cql_returner_session'] = session __context__['cassandra_cql_prepared'] = {} log.debug('Successfully connected to Cassandra cluster at %s', contact_points) return cluster, session except TypeError: pass except (ConnectionException, ConnectionShutdown, NoHostAvailable): log.error('Could not connect to Cassandra cluster at %s', contact_points) raise CommandExecutionError('ERROR: Could not connect to Cassandra cluster.')

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SHTOOLS/SHTOOLS

setup.py

build.run

def run(self): """Build the Fortran library, all python extensions and the docs.""" print('---- BUILDING ----') _build.run(self) # build documentation print('---- BUILDING DOCS ----') docdir = os.path.join(self.build_lib, 'pyshtools', 'doc') self.mkpath(docdir) doc_builder = os.path.join(self.build_lib, 'pyshtools', 'make_docs.py') doc_source = '.' check_call([sys.executable, doc_builder, doc_source, self.build_lib]) print('---- ALL DONE ----')

python

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aparo/pyes

pyes/models.py

ElasticSearchModel.get_id

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python

def get_id(self): """ Force the object saveing to get an id""" _id = self._meta.get("id", None) if _id is None: _id = self.save() return _id

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honzajavorek/redis-collections

redis_collections/sortedsets.py

SortedSetCounter.discard_between

def discard_between( self, min_rank=None, max_rank=None, min_score=None, max_score=None, ): """ Remove members whose ranking is between *min_rank* and *max_rank* OR whose score is between *min_score* and *max_score* (both ranges inclusive). If no bounds are specified, no members will be removed. """ no_ranks = (min_rank is None) and (max_rank is None) no_scores = (min_score is None) and (max_score is None) # Default scope: nothing if no_ranks and no_scores: return # Scope widens to given score range if no_ranks and (not no_scores): return self.discard_by_score(min_score, max_score) # Scope widens to given rank range if (not no_ranks) and no_scores: return self.discard_by_rank(min_rank, max_rank) # Scope widens to score range and then rank range with self.redis.pipeline() as pipe: self.discard_by_score(min_score, max_score, pipe) self.discard_by_rank(min_rank, max_rank, pipe) pipe.execute()

python

def discard_between( self, min_rank=None, max_rank=None, min_score=None, max_score=None, ): """ Remove members whose ranking is between *min_rank* and *max_rank* OR whose score is between *min_score* and *max_score* (both ranges inclusive). If no bounds are specified, no members will be removed. """ no_ranks = (min_rank is None) and (max_rank is None) no_scores = (min_score is None) and (max_score is None) # Default scope: nothing if no_ranks and no_scores: return # Scope widens to given score range if no_ranks and (not no_scores): return self.discard_by_score(min_score, max_score) # Scope widens to given rank range if (not no_ranks) and no_scores: return self.discard_by_rank(min_rank, max_rank) # Scope widens to score range and then rank range with self.redis.pipeline() as pipe: self.discard_by_score(min_score, max_score, pipe) self.discard_by_rank(min_rank, max_rank, pipe) pipe.execute()

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