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Nixiware/viper
nx/viper/application.py
Application._getInterfaces
def _getInterfaces(self): """ Load application communication interfaces. :return: <dict> """ interfaces = {} interfacesPath = os.path.join("application", "interface") interfaceList = os.listdir(interfacesPath) for file in interfaceList: inte...
python
def _getInterfaces(self): """ Load application communication interfaces. :return: <dict> """ interfaces = {} interfacesPath = os.path.join("application", "interface") interfaceList = os.listdir(interfacesPath) for file in interfaceList: inte...
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train
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Nixiware/viper
nx/viper/application.py
Application._getModules
def _getModules(self): """ Import and load application modules. :return: <dict> """ modules = {} modulesPath = os.path.join("application", "module") moduleList = os.listdir(modulesPath) for moduleName in moduleList: modulePath = os.path.join(...
python
def _getModules(self): """ Import and load application modules. :return: <dict> """ modules = {} modulesPath = os.path.join("application", "module") moduleList = os.listdir(modulesPath) for moduleName in moduleList: modulePath = os.path.join(...
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train
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Nixiware/viper
nx/viper/application.py
Application.addModel
def addModel(self, moduleName, modelName, model): """ Add a model instance to the application model pool. :param moduleName: <str> module name in which the model is located :param modelName: <str> model name :param model: <object> model instance :return: <void> "...
python
def addModel(self, moduleName, modelName, model): """ Add a model instance to the application model pool. :param moduleName: <str> module name in which the model is located :param modelName: <str> model name :param model: <object> model instance :return: <void> "...
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Nixiware/viper
nx/viper/application.py
Application.getModel
def getModel(self, modelIdentifier): """ Return the requested model. :param modelIdentifier: <str> model identifier :return: <object> model instance """ if modelIdentifier in self._models: return self._models[modelIdentifier] else: message...
python
def getModel(self, modelIdentifier): """ Return the requested model. :param modelIdentifier: <str> model identifier :return: <object> model instance """ if modelIdentifier in self._models: return self._models[modelIdentifier] else: message...
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train
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Nixiware/viper
nx/viper/application.py
Application._loadViperServices
def _loadViperServices(self): """ Load application bundled services. :return: <void> """ servicesPath = os.path.join( os.path.dirname(os.path.realpath(__file__)), "service" ) for serviceFile in os.listdir(servicesPath): if serv...
python
def _loadViperServices(self): """ Load application bundled services. :return: <void> """ servicesPath = os.path.join( os.path.dirname(os.path.realpath(__file__)), "service" ) for serviceFile in os.listdir(servicesPath): if serv...
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train
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Nixiware/viper
nx/viper/application.py
Application.addService
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python
def addService(self, moduleName, serviceName, service): """ Add a service instance to the application service pool. :param moduleName: <str> module name in which the service is located :param serviceName: <str> service name :param service: <object> service instance :retu...
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Nixiware/viper
nx/viper/application.py
Application.getService
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python
def getService(self, serviceIdentifier): """ Return the requested service instance. :param serviceIdentifier: <str> service identifier :return: <object> service instance """ if serviceIdentifier in self._services: return self._services[serviceIdentifier] ...
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train
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moertle/pyaas
pyaas/settings.py
load
def load(settings=None, namespace=None, prefix=None): """ Call this guy to init pyaas stuffs :param settings: Alternative name of ini file to load :param namespace: Namespace is used to derive paths, pass '' for an empty namespace :param prefix: The root path of the app :return: None """ ...
python
def load(settings=None, namespace=None, prefix=None): """ Call this guy to init pyaas stuffs :param settings: Alternative name of ini file to load :param namespace: Namespace is used to derive paths, pass '' for an empty namespace :param prefix: The root path of the app :return: None """ ...
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neumark/microcli
example.py
Calculator.add
def add(self, *number): """Adds all parameters interpreted as integers""" return self._format_result(sum( # positional arguments are always strings [int(n) for n in number]))
python
def add(self, *number): """Adds all parameters interpreted as integers""" return self._format_result(sum( # positional arguments are always strings [int(n) for n in number]))
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neumark/microcli
example.py
Calculator.subtract
def subtract(self, number1, number2): """Subtracts number2 from number1""" return self._format_result(int(number1) - int(number2))
python
def subtract(self, number1, number2): """Subtracts number2 from number1""" return self._format_result(int(number1) - int(number2))
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neumark/microcli
example.py
Calculator.log
def log(self, x, base=2): """Computes the logarithm of x with the given base (the default base is 2).""" return self._format_result(log(float(x), base))
python
def log(self, x, base=2): """Computes the logarithm of x with the given base (the default base is 2).""" return self._format_result(log(float(x), base))
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johnnoone/facts
facts/logical.py
Logical.items
async def items(self): """Expose all grafts. """ accumulator = Accumulator() for graft in load_grafts(): accumulator.spawn(graft()) response = await accumulator.join() return response.items()
python
async def items(self): """Expose all grafts. """ accumulator = Accumulator() for graft in load_grafts(): accumulator.spawn(graft()) response = await accumulator.join() return response.items()
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Expose all grafts.
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radjkarl/fancyTools
fancytools/geometry/polygon.py
area
def area(x,y): """ Calculate the area of a polygon given as x(...),y(...) Implementation of Shoelace formula """ # http://stackoverflow.com/questions/24467972/calculate-area-of-polygon-given-x-y-coordinates return 0.5 * np.abs(np.dot(x, np.roll(y, 1)) - np.dot(y, np.roll(x, 1)))
python
def area(x,y): """ Calculate the area of a polygon given as x(...),y(...) Implementation of Shoelace formula """ # http://stackoverflow.com/questions/24467972/calculate-area-of-polygon-given-x-y-coordinates return 0.5 * np.abs(np.dot(x, np.roll(y, 1)) - np.dot(y, np.roll(x, 1)))
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radjkarl/fancyTools
fancytools/geometry/polygon.py
pointInsidePolygon
def pointInsidePolygon(x, y, poly): """ Determine if a point is inside a given polygon or not Polygon is a list of (x,y) pairs. [code taken from: http://www.ariel.com.au/a/python-point-int-poly.html] let's make an easy square: >>> poly = [ (0,0),\ (1,0),\ (1,...
python
def pointInsidePolygon(x, y, poly): """ Determine if a point is inside a given polygon or not Polygon is a list of (x,y) pairs. [code taken from: http://www.ariel.com.au/a/python-point-int-poly.html] let's make an easy square: >>> poly = [ (0,0),\ (1,0),\ (1,...
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Determine if a point is inside a given polygon or not Polygon is a list of (x,y) pairs. [code taken from: http://www.ariel.com.au/a/python-point-int-poly.html] let's make an easy square: >>> poly = [ (0,0),\ (1,0),\ (1,1),\ (0,1) ] >>> pointInsid...
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edeposit/edeposit.amqp.ftp
src/edeposit/amqp/ftp/settings.py
conf_merger
def conf_merger(user_dict, variable): """ Merge global configuration with user's personal configuration. Global configuration has always higher priority. """ if variable not in globals().keys(): raise NameError("Unknown variable '%s'." % variable) if variable not in user_dict: ...
python
def conf_merger(user_dict, variable): """ Merge global configuration with user's personal configuration. Global configuration has always higher priority. """ if variable not in globals().keys(): raise NameError("Unknown variable '%s'." % variable) if variable not in user_dict: ...
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edeposit/edeposit.amqp.ftp
src/edeposit/amqp/ftp/settings.py
get_all_constants
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python
def get_all_constants(): """ Get list of all uppercase, non-private globals (doesn't start with ``_``). Returns: list: Uppercase names defined in `globals()` (variables from this \ module). """ return filter( lambda key: key.upper() == key and type(globals()[key]) in _...
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train
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toastdriven/alligator
alligator/backends/beanstalk_backend.py
Client.get_connection
def get_connection(self, host, port): """ Returns a ``StrictRedis`` connection instance. """ return beanstalkc.Connection( host=host, port=port )
python
def get_connection(self, host, port): """ Returns a ``StrictRedis`` connection instance. """ return beanstalkc.Connection( host=host, port=port )
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train
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toastdriven/alligator
alligator/backends/beanstalk_backend.py
Client.len
def len(self, queue_name): """ Returns the length of the queue. :param queue_name: The name of the queue. Usually handled by the ``Gator`` instance. :type queue_name: string :returns: The length of the queue :rtype: integer """ try: ...
python
def len(self, queue_name): """ Returns the length of the queue. :param queue_name: The name of the queue. Usually handled by the ``Gator`` instance. :type queue_name: string :returns: The length of the queue :rtype: integer """ try: ...
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toastdriven/alligator
alligator/backends/beanstalk_backend.py
Client.drop_all
def drop_all(self, queue_name): """ Drops all the task in the queue. :param queue_name: The name of the queue. Usually handled by the ``Gator`` instance. :type queue_name: string """ # This is very inefficient, but Beanstalk (as of v1.10) doesn't support ...
python
def drop_all(self, queue_name): """ Drops all the task in the queue. :param queue_name: The name of the queue. Usually handled by the ``Gator`` instance. :type queue_name: string """ # This is very inefficient, but Beanstalk (as of v1.10) doesn't support ...
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toastdriven/alligator
alligator/backends/beanstalk_backend.py
Client.push
def push(self, queue_name, task_id, data): """ Pushes a task onto the queue. :param queue_name: The name of the queue. Usually handled by the ``Gator`` instance. :type queue_name: string :param task_id: The identifier of the task. :type task_id: string ...
python
def push(self, queue_name, task_id, data): """ Pushes a task onto the queue. :param queue_name: The name of the queue. Usually handled by the ``Gator`` instance. :type queue_name: string :param task_id: The identifier of the task. :type task_id: string ...
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train
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toastdriven/alligator
alligator/backends/beanstalk_backend.py
Client.pop
def pop(self, queue_name): """ Pops a task off the queue. :param queue_name: The name of the queue. Usually handled by the ``Gator`` instance. :type queue_name: string :returns: The data for the task. :rtype: string """ self._only_watch_from(...
python
def pop(self, queue_name): """ Pops a task off the queue. :param queue_name: The name of the queue. Usually handled by the ``Gator`` instance. :type queue_name: string :returns: The data for the task. :rtype: string """ self._only_watch_from(...
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train
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toastdriven/alligator
alligator/backends/beanstalk_backend.py
Client.get
def get(self, queue_name, task_id): """ Pops a specific task off the queue by identifier. :param queue_name: The name of the queue. Usually handled by the ``Gator`` instance. :type queue_name: string :param task_id: The identifier of the task. :type task_id:...
python
def get(self, queue_name, task_id): """ Pops a specific task off the queue by identifier. :param queue_name: The name of the queue. Usually handled by the ``Gator`` instance. :type queue_name: string :param task_id: The identifier of the task. :type task_id:...
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dossier/dossier.models
dossier/models/pairwise.py
add_facets
def add_facets(engine_result, facet_features=None): '''Adds facets to search results. Construct a new result payload with `facets` added as a new top-level property that carries a mapping from unicode strings to lists of content_ids. The `facet_features` lists the names of :class:`~dossier.fc.Stri...
python
def add_facets(engine_result, facet_features=None): '''Adds facets to search results. Construct a new result payload with `facets` added as a new top-level property that carries a mapping from unicode strings to lists of content_ids. The `facet_features` lists the names of :class:`~dossier.fc.Stri...
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Adds facets to search results. Construct a new result payload with `facets` added as a new top-level property that carries a mapping from unicode strings to lists of content_ids. The `facet_features` lists the names of :class:`~dossier.fc.StringCounter` features in each result :class:`~dossier.fc....
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dossier/dossier.models
dossier/models/pairwise.py
labels_to_indexed_coref_values
def labels_to_indexed_coref_values(content_objs, labels): '''[(content_id, FeatureCollection)] -> [Label] -> [({-1,1}, i, j)] where 0 <= i, j < len(content_objs). ''' cids_to_idx = {} for i, (content_id, _) in enumerate(content_objs): cids_to_idx[content_id] = i idx = lambda cid: cids_t...
python
def labels_to_indexed_coref_values(content_objs, labels): '''[(content_id, FeatureCollection)] -> [Label] -> [({-1,1}, i, j)] where 0 <= i, j < len(content_objs). ''' cids_to_idx = {} for i, (content_id, _) in enumerate(content_objs): cids_to_idx[content_id] = i idx = lambda cid: cids_t...
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dossier/dossier.models
dossier/models/pairwise.py
vectorizable_features
def vectorizable_features(fcs): '''Discovers the ordered set of vectorizable features in ``fcs``. Returns a list of feature names, sorted lexicographically. Feature names are only included if the corresponding features are vectorizable (i.e., they are an instance of :class:`collections.Mapping`). ...
python
def vectorizable_features(fcs): '''Discovers the ordered set of vectorizable features in ``fcs``. Returns a list of feature names, sorted lexicographically. Feature names are only included if the corresponding features are vectorizable (i.e., they are an instance of :class:`collections.Mapping`). ...
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train
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dossier/dossier.models
dossier/models/pairwise.py
dissimilarities
def dissimilarities(feature_names, fcs): '''Computes the pairwise dissimilarity matrices. This returns a dictionary mapping each name in ``feature_names`` to a pairwise dissimilarities matrix. The dissimilaritiy scores correspond to ``1 - kernel`` between each feature of each pair of feature collec...
python
def dissimilarities(feature_names, fcs): '''Computes the pairwise dissimilarity matrices. This returns a dictionary mapping each name in ``feature_names`` to a pairwise dissimilarities matrix. The dissimilaritiy scores correspond to ``1 - kernel`` between each feature of each pair of feature collec...
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Computes the pairwise dissimilarity matrices. This returns a dictionary mapping each name in ``feature_names`` to a pairwise dissimilarities matrix. The dissimilaritiy scores correspond to ``1 - kernel`` between each feature of each pair of feature collections in ``fcs``. (The kernel used is curre...
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dossier/dossier.models
dossier/models/pairwise.py
PairwiseFeatureLearner.probabilities
def probabilities(self): '''Trains a model and predicts recommendations. If the query feature collection could not be found or if there is insufficient training data, an empty list is returned. Otherwise, a list of content objects (tuples of content id and feature collection) a...
python
def probabilities(self): '''Trains a model and predicts recommendations. If the query feature collection could not be found or if there is insufficient training data, an empty list is returned. Otherwise, a list of content objects (tuples of content id and feature collection) a...
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dossier/dossier.models
dossier/models/pairwise.py
PairwiseFeatureLearner.train
def train(self, content_objs, idx_labels): '''Trains and returns a model using sklearn. If there are new labels to add, they can be added, returns an sklearn model which can be used for prediction and getting features. This method may return ``None`` if there is insufficient ...
python
def train(self, content_objs, idx_labels): '''Trains and returns a model using sklearn. If there are new labels to add, they can be added, returns an sklearn model which can be used for prediction and getting features. This method may return ``None`` if there is insufficient ...
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dossier/dossier.models
dossier/models/pairwise.py
PairwiseFeatureLearner.classify
def classify(self, feature_names, classifier, transformer, candidates, query_fc=None): '''Returns ``[probability]`` in correspondence with ``candidates``. Where each ``probability`` corresponds to the probability that the corresponding candidate is classified with a pos...
python
def classify(self, feature_names, classifier, transformer, candidates, query_fc=None): '''Returns ``[probability]`` in correspondence with ``candidates``. Where each ``probability`` corresponds to the probability that the corresponding candidate is classified with a pos...
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dossier/dossier.models
dossier/models/pairwise.py
PairwiseFeatureLearner.content_objs_from_labels
def content_objs_from_labels(self, labels): '''[Label] -> [(content_id, FeatureCollection)]''' is_mapping = lambda obj: isinstance(obj, collections.Mapping) def is_valid_fc((cid, fc)): if fc is None: return False if sum(1 for name in fc if is_mapping(fc[na...
python
def content_objs_from_labels(self, labels): '''[Label] -> [(content_id, FeatureCollection)]''' is_mapping = lambda obj: isinstance(obj, collections.Mapping) def is_valid_fc((cid, fc)): if fc is None: return False if sum(1 for name in fc if is_mapping(fc[na...
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[Label] -> [(content_id, FeatureCollection)]
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dossier/dossier.models
dossier/models/features/sip.py
noun_phrases_as_tokens
def noun_phrases_as_tokens(text): '''Generate a bag of lists of unnormalized tokens representing noun phrases from ``text``. This is built around python's nltk library for getting Noun Phrases (NPs). This is all documented in the NLTK Book http://www.nltk.org/book/ch03.html and blog posts that cite...
python
def noun_phrases_as_tokens(text): '''Generate a bag of lists of unnormalized tokens representing noun phrases from ``text``. This is built around python's nltk library for getting Noun Phrases (NPs). This is all documented in the NLTK Book http://www.nltk.org/book/ch03.html and blog posts that cite...
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Generate a bag of lists of unnormalized tokens representing noun phrases from ``text``. This is built around python's nltk library for getting Noun Phrases (NPs). This is all documented in the NLTK Book http://www.nltk.org/book/ch03.html and blog posts that cite the book. :rtype: list of lists...
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dossier/dossier.models
dossier/models/features/sip.py
noun_phrases
def noun_phrases(text, included_unnormalized=False): '''applies normalization to the terms found by noun_phrases_as_tokens and joins on '_'. :rtype: list of phrase strings with spaces replaced by ``_``. ''' lemmatizer = nltk.WordNetLemmatizer() stemmer = nltk.stem.porter.PorterStemmer() d...
python
def noun_phrases(text, included_unnormalized=False): '''applies normalization to the terms found by noun_phrases_as_tokens and joins on '_'. :rtype: list of phrase strings with spaces replaced by ``_``. ''' lemmatizer = nltk.WordNetLemmatizer() stemmer = nltk.stem.porter.PorterStemmer() d...
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crypto101/clarent
clarent/certificate.py
_makeCertificate
def _makeCertificate(key, email, _utcnow=datetime.utcnow): """Make the certificate for the client using the given key and e-mail address. """ # Create a certificate for this key. cert = X509() cert.set_pubkey(key) # Set the subject. subject = cert.get_subject() subject.CN = u"Crypt...
python
def _makeCertificate(key, email, _utcnow=datetime.utcnow): """Make the certificate for the client using the given key and e-mail address. """ # Create a certificate for this key. cert = X509() cert.set_pubkey(key) # Set the subject. subject = cert.get_subject() subject.CN = u"Crypt...
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train
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crypto101/clarent
clarent/certificate.py
makeCredentials
def makeCredentials(path, email): """Make credentials for the client from given e-mail address and store them in the directory at path. """ key = _generateKey() cert = _makeCertificate(key, email) certPath = path.child("client.pem") certPath.alwaysCreate = True with certPath.open("wb"...
python
def makeCredentials(path, email): """Make credentials for the client from given e-mail address and store them in the directory at path. """ key = _generateKey() cert = _makeCertificate(key, email) certPath = path.child("client.pem") certPath.alwaysCreate = True with certPath.open("wb"...
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crypto101/clarent
clarent/certificate.py
getContextFactory
def getContextFactory(path): """Get a context factory for the client from keys already stored at path. Raises IOError if the credentials didn't exist. """ with path.child("client.pem").open() as pemFile: cert = PrivateCertificate.loadPEM(pemFile.read()) certOptions = cert.options() # ...
python
def getContextFactory(path): """Get a context factory for the client from keys already stored at path. Raises IOError if the credentials didn't exist. """ with path.child("client.pem").open() as pemFile: cert = PrivateCertificate.loadPEM(pemFile.read()) certOptions = cert.options() # ...
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Get a context factory for the client from keys already stored at path. Raises IOError if the credentials didn't exist.
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kankiri/pabiana
demos/smarthome/smarthome/__init__.py
schedule
def schedule(demand: dict, alterations: set, looped: set=None, altered: set=None): """Prioritizes Triggers called from outside.""" if looped is not None and len(demand) != len(looped): for func in looped: del demand[func] if keep_temp in demand: demand.pop(increase_temp, None) demand.pop(lower_temp, None) eli...
python
def schedule(demand: dict, alterations: set, looped: set=None, altered: set=None): """Prioritizes Triggers called from outside.""" if looped is not None and len(demand) != len(looped): for func in looped: del demand[func] if keep_temp in demand: demand.pop(increase_temp, None) demand.pop(lower_temp, None) eli...
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Prioritizes Triggers called from outside.
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cykerway/logging-ext
logging_ext/__init__.py
d
def d(msg, *args, **kwargs): ''' log a message at debug level; ''' return logging.log(DEBUG, msg, *args, **kwargs)
python
def d(msg, *args, **kwargs): ''' log a message at debug level; ''' return logging.log(DEBUG, msg, *args, **kwargs)
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log a message at debug level;
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cykerway/logging-ext
logging_ext/__init__.py
v
def v(msg, *args, **kwargs): ''' log a message at verbose level; ''' return logging.log(VERBOSE, msg, *args, **kwargs)
python
def v(msg, *args, **kwargs): ''' log a message at verbose level; ''' return logging.log(VERBOSE, msg, *args, **kwargs)
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log a message at verbose level;
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cykerway/logging-ext
logging_ext/__init__.py
i
def i(msg, *args, **kwargs): ''' log a message at info level; ''' return logging.log(INFO, msg, *args, **kwargs)
python
def i(msg, *args, **kwargs): ''' log a message at info level; ''' return logging.log(INFO, msg, *args, **kwargs)
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log a message at info level;
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cykerway/logging-ext
logging_ext/__init__.py
w
def w(msg, *args, **kwargs): ''' log a message at warn level; ''' return logging.log(WARN, msg, *args, **kwargs)
python
def w(msg, *args, **kwargs): ''' log a message at warn level; ''' return logging.log(WARN, msg, *args, **kwargs)
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log a message at warn level;
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cykerway/logging-ext
logging_ext/__init__.py
e
def e(msg, *args, **kwargs): ''' log a message at error level; ''' return logging.log(ERROR, msg, *args, **kwargs)
python
def e(msg, *args, **kwargs): ''' log a message at error level; ''' return logging.log(ERROR, msg, *args, **kwargs)
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cykerway/logging-ext
logging_ext/__init__.py
getLogger
def getLogger(name=None): ''' return a logger instrumented with additional 1-letter logging methods; ''' logger = logging.getLogger(name=name) if not hasattr(logger, 'd'): def d(self, msg, *args, **kwargs): return self.log(DEBUG, msg, *args, **kwargs) logger.d = types....
python
def getLogger(name=None): ''' return a logger instrumented with additional 1-letter logging methods; ''' logger = logging.getLogger(name=name) if not hasattr(logger, 'd'): def d(self, msg, *args, **kwargs): return self.log(DEBUG, msg, *args, **kwargs) logger.d = types....
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return a logger instrumented with additional 1-letter logging methods;
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train
https://github.com/cykerway/logging-ext/blob/ed6700bdd602fa26276e1f194d255e74c7f255b4/logging_ext/__init__.py#L68-L101
mathiasbc/CoolLogger
coollogger/TimedCompressedRotatingFileHandler.py
TimedCompressedRotatingFileHandler.doRollover
def doRollover(self): """ do a rollover; in this case, a date/time stamp is appended to the filename when the rollover happens. However, you want the file to be named for the start of the interval, not the current time. If there is a backup count, then we have to get a list of ...
python
def doRollover(self): """ do a rollover; in this case, a date/time stamp is appended to the filename when the rollover happens. However, you want the file to be named for the start of the interval, not the current time. If there is a backup count, then we have to get a list of ...
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train
https://github.com/mathiasbc/CoolLogger/blob/5b20cbff37707f41f7e81750f856a41acae607c7/coollogger/TimedCompressedRotatingFileHandler.py#L13-L46
Diaoul/pyextdirect
pyextdirect/router.py
create_instances
def create_instances(configuration): """Create necessary class instances from a configuration with no argument to the constructor :param dict configuration: configuration dict like in :attr:`~pyextdirect.configuration.Base.configuration` :return: a class-instance mapping :rtype: dict """ insta...
python
def create_instances(configuration): """Create necessary class instances from a configuration with no argument to the constructor :param dict configuration: configuration dict like in :attr:`~pyextdirect.configuration.Base.configuration` :return: a class-instance mapping :rtype: dict """ insta...
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train
https://github.com/Diaoul/pyextdirect/blob/34ddfe882d467b3769644e8131fb90fe472eff80/pyextdirect/router.py#L117-L133
Diaoul/pyextdirect
pyextdirect/router.py
Router.route
def route(self, data): """Route an Ext Direct request to the appropriate function(s) and provide the response(s) :param data: Ext Direct request :type data: json or dict or list :return: appropriate response(s) :rtype: json """ if isinstance(data, (dict, list)):...
python
def route(self, data): """Route an Ext Direct request to the appropriate function(s) and provide the response(s) :param data: Ext Direct request :type data: json or dict or list :return: appropriate response(s) :rtype: json """ if isinstance(data, (dict, list)):...
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train
https://github.com/Diaoul/pyextdirect/blob/34ddfe882d467b3769644e8131fb90fe472eff80/pyextdirect/router.py#L37-L57
Diaoul/pyextdirect
pyextdirect/router.py
Router.call
def call(self, request): """Call the appropriate function :param dict request: request that describes the function to call :return: response linked to the request that holds the value returned by the called function :rtype: dict """ result = None try: ...
python
def call(self, request): """Call the appropriate function :param dict request: request that describes the function to call :return: response linked to the request that holds the value returned by the called function :rtype: dict """ result = None try: ...
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train
https://github.com/Diaoul/pyextdirect/blob/34ddfe882d467b3769644e8131fb90fe472eff80/pyextdirect/router.py#L59-L114
collectiveacuity/labPack
labpack/platforms/localhost.py
localhostClient.app_data
def app_data(self, org_name, prod_name): ''' a method to retrieve the os appropriate path to user app data # https://www.chromium.org/user-experience/user-data-directory :param org_name: string with name of product/service creator :param prod_name: string with name of product/s...
python
def app_data(self, org_name, prod_name): ''' a method to retrieve the os appropriate path to user app data # https://www.chromium.org/user-experience/user-data-directory :param org_name: string with name of product/service creator :param prod_name: string with name of product/s...
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train
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collectiveacuity/labPack
labpack/platforms/localhost.py
localhostClient.walk
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python
def walk(self, walk_root='', reverse_order=False, previous_file=''): ''' a generator method of file paths on localhost from walk of directories :param walk_root: string with path from which to root walk of localhost directories :param reverse_order: boolean to determine alphabetical direc...
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train
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collectiveacuity/labPack
labpack/platforms/localhost.py
localhostClient.metadata
def metadata(self, file_path): ''' a method to retrieve the metadata of a file on the localhost :param file_path: string with path to file :return: dictionary with file properties ''' __name__ = '%s.metadata(...)' % self.__class__.__name__ # validate input ...
python
def metadata(self, file_path): ''' a method to retrieve the metadata of a file on the localhost :param file_path: string with path to file :return: dictionary with file properties ''' __name__ = '%s.metadata(...)' % self.__class__.__name__ # validate input ...
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train
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collectiveacuity/labPack
labpack/platforms/localhost.py
localhostClient.conditional_filter
def conditional_filter(self, metadata_filters): ''' a method to construct a conditional filter function for the list method :param metadata_filters: list with query criteria dictionaries :return: filter_function object NOTE: query criteria architecture ...
python
def conditional_filter(self, metadata_filters): ''' a method to construct a conditional filter function for the list method :param metadata_filters: list with query criteria dictionaries :return: filter_function object NOTE: query criteria architecture ...
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train
https://github.com/collectiveacuity/labPack/blob/52949ece35e72e3cc308f54d9ffa6bfbd96805b8/labpack/platforms/localhost.py#L307-L390
collectiveacuity/labPack
labpack/platforms/localhost.py
localhostClient.list
def list(self, filter_function=None, list_root='', max_results=1, reverse_order=False, previous_file=''): ''' a method to list files on localhost from walk of directories :param filter_function: (keyword arguments) function used to filter results :param list_root: string with localhost pa...
python
def list(self, filter_function=None, list_root='', max_results=1, reverse_order=False, previous_file=''): ''' a method to list files on localhost from walk of directories :param filter_function: (keyword arguments) function used to filter results :param list_root: string with localhost pa...
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ngmiller/mipsy
mipsy/encoder.py
Encoder.encode_instruction
def encode_instruction(self, pc, instr): """ Given an instruction string, generate the encoded bit string. PC (instruction index is used for branch label resolution) """ data = instr.split() operation = data[0] try: mips_op_info = MIPS.operations[oper...
python
def encode_instruction(self, pc, instr): """ Given an instruction string, generate the encoded bit string. PC (instruction index is used for branch label resolution) """ data = instr.split() operation = data[0] try: mips_op_info = MIPS.operations[oper...
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https://github.com/ngmiller/mipsy/blob/78c058f44685765193acd386e81fada3b4187b95/mipsy/encoder.py#L106-L131
ngmiller/mipsy
mipsy/encoder.py
Encoder.resolve_operation_info
def resolve_operation_info(self, encoding_map, mips_op_info): """ Adds the predefined operation info (opcode, funct) to the current encoding map. """ encoding_map['opcode'] = mips_op_info.opcode encoding_map['funct'] = mips_op_info.funct
python
def resolve_operation_info(self, encoding_map, mips_op_info): """ Adds the predefined operation info (opcode, funct) to the current encoding map. """ encoding_map['opcode'] = mips_op_info.opcode encoding_map['funct'] = mips_op_info.funct
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Adds the predefined operation info (opcode, funct) to the current encoding map.
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https://github.com/ngmiller/mipsy/blob/78c058f44685765193acd386e81fada3b4187b95/mipsy/encoder.py#L133-L138
ngmiller/mipsy
mipsy/encoder.py
Encoder.resolve_operands
def resolve_operands(self, encoding_map, operation, pc): """ Converts generic register references (such as $t0, $t1, etc), immediate values, and jump addresses to their binary equivalents. """ convert = Encoder.to_binary branch_replace = False jump_replace = False...
python
def resolve_operands(self, encoding_map, operation, pc): """ Converts generic register references (such as $t0, $t1, etc), immediate values, and jump addresses to their binary equivalents. """ convert = Encoder.to_binary branch_replace = False jump_replace = False...
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train
https://github.com/ngmiller/mipsy/blob/78c058f44685765193acd386e81fada3b4187b95/mipsy/encoder.py#L140-L194
ngmiller/mipsy
mipsy/encoder.py
Encoder.to_binary
def to_binary(decimal, length): """ Given a decimal, generate the binary equivalent string of given length. e.g. binary(2, 5) = 00010 """ b = bitstring.Bits(int=decimal, length=length) return b.bin
python
def to_binary(decimal, length): """ Given a decimal, generate the binary equivalent string of given length. e.g. binary(2, 5) = 00010 """ b = bitstring.Bits(int=decimal, length=length) return b.bin
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lambdalisue/django-roughpages
src/roughpages/utils.py
url_to_filename
def url_to_filename(url): """ Safely translate url to relative filename Args: url (str): A target url string Returns: str """ # remove leading/trailing slash if url.startswith('/'): url = url[1:] if url.endswith('/'): url = url[:-1] # remove pardir s...
python
def url_to_filename(url): """ Safely translate url to relative filename Args: url (str): A target url string Returns: str """ # remove leading/trailing slash if url.startswith('/'): url = url[1:] if url.endswith('/'): url = url[:-1] # remove pardir s...
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lambdalisue/django-roughpages
src/roughpages/utils.py
remove_pardir_symbols
def remove_pardir_symbols(path, sep=os.sep, pardir=os.pardir): """ Remove relative path symobls such as '..' Args: path (str): A target path string sep (str): A strint to refer path delimiter (Default: `os.sep`) pardir (str): A string to refer parent directory (Default: `os.pardir`)...
python
def remove_pardir_symbols(path, sep=os.sep, pardir=os.pardir): """ Remove relative path symobls such as '..' Args: path (str): A target path string sep (str): A strint to refer path delimiter (Default: `os.sep`) pardir (str): A string to refer parent directory (Default: `os.pardir`)...
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train
https://github.com/lambdalisue/django-roughpages/blob/f6a2724ece729c5deced2c2546d172561ef785ec/src/roughpages/utils.py#L30-L44
lambdalisue/django-roughpages
src/roughpages/utils.py
replace_dots_to_underscores_at_last
def replace_dots_to_underscores_at_last(path): """ Remove dot ('.') while a dot is treated as a special character in backends Args: path (str): A target path string Returns: str """ if path == '': return path bits = path.split('/') bits[-1] = bits[-1].replace('....
python
def replace_dots_to_underscores_at_last(path): """ Remove dot ('.') while a dot is treated as a special character in backends Args: path (str): A target path string Returns: str """ if path == '': return path bits = path.split('/') bits[-1] = bits[-1].replace('....
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pyokagan/pyglreg
glreg.py
_load
def _load(root): """Load from an xml.etree.ElementTree""" types = _load_types(root) enums = _load_enums(root) commands = _load_commands(root) features = _load_features(root) extensions = _load_extensions(root) return Registry(None, types, enums, commands, features, extensions)
python
def _load(root): """Load from an xml.etree.ElementTree""" types = _load_types(root) enums = _load_enums(root) commands = _load_commands(root) features = _load_features(root) extensions = _load_extensions(root) return Registry(None, types, enums, commands, features, extensions)
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pyokagan/pyglreg
glreg.py
_load_types
def _load_types(root): """Returns {name: Type}""" def text(t): if t.tag == 'name': return '{name}' elif t.tag == 'apientry': return '{apientry}' out = [] if t.text: out.append(_escape_tpl_str(t.text)) for x in t: out.append(...
python
def _load_types(root): """Returns {name: Type}""" def text(t): if t.tag == 'name': return '{name}' elif t.tag == 'apientry': return '{apientry}' out = [] if t.text: out.append(_escape_tpl_str(t.text)) for x in t: out.append(...
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pyokagan/pyglreg
glreg.py
_load_enums
def _load_enums(root): """Returns {name: Enum}""" out = collections.OrderedDict() for elem in root.findall('enums/enum'): name = elem.attrib['name'] value = elem.attrib['value'] comment = elem.get('comment') out[name] = Enum(name, value, comment) return out
python
def _load_enums(root): """Returns {name: Enum}""" out = collections.OrderedDict() for elem in root.findall('enums/enum'): name = elem.attrib['name'] value = elem.attrib['value'] comment = elem.get('comment') out[name] = Enum(name, value, comment) return out
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L659-L667
pyokagan/pyglreg
glreg.py
_load_commands
def _load_commands(root): """Returns {name: Command}""" def proto_text(t): if t.tag == 'name': return '{name}' elif t.tag == 'ptype': return '{type}' out = [] if t.text: out.append(_escape_tpl_str(t.text)) for x in t: out.ap...
python
def _load_commands(root): """Returns {name: Command}""" def proto_text(t): if t.tag == 'name': return '{name}' elif t.tag == 'ptype': return '{type}' out = [] if t.text: out.append(_escape_tpl_str(t.text)) for x in t: out.ap...
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L691-L715
pyokagan/pyglreg
glreg.py
_load_features
def _load_features(root): """Returns {name: Feature}""" out = collections.OrderedDict() for elem in root.findall('feature'): name = elem.attrib['name'] api = elem.attrib['api'] number = tuple([int(x) for x in elem.attrib['number'].split('.')]) requires = [_load_require(x) for...
python
def _load_features(root): """Returns {name: Feature}""" out = collections.OrderedDict() for elem in root.findall('feature'): name = elem.attrib['name'] api = elem.attrib['api'] number = tuple([int(x) for x in elem.attrib['number'].split('.')]) requires = [_load_require(x) for...
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L737-L748
pyokagan/pyglreg
glreg.py
_load_extensions
def _load_extensions(root): """Returns {name: Extension}""" out = collections.OrderedDict() for elem in root.findall('extensions/extension'): name = elem.attrib['name'] supported = set(elem.attrib['supported'].split('|')) requires = [_load_require(x) for x in elem.findall('require')]...
python
def _load_extensions(root): """Returns {name: Extension}""" out = collections.OrderedDict() for elem in root.findall('extensions/extension'): name = elem.attrib['name'] supported = set(elem.attrib['supported'].split('|')) requires = [_load_require(x) for x in elem.findall('require')]...
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L751-L760
pyokagan/pyglreg
glreg.py
import_type
def import_type(dest, src, name, api=None, filter_symbol=None): """Import Type `name` and its dependencies from Registry `src` to Registry `dest`. :param Registry dest: Destination Registry :param Registry src: Source Registry :param str name: Name of type to import :param str api: Prefer to im...
python
def import_type(dest, src, name, api=None, filter_symbol=None): """Import Type `name` and its dependencies from Registry `src` to Registry `dest`. :param Registry dest: Destination Registry :param Registry src: Source Registry :param str name: Name of type to import :param str api: Prefer to im...
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L794-L814
pyokagan/pyglreg
glreg.py
import_command
def import_command(dest, src, name, api=None, filter_symbol=None): """Import Command `name` and its dependencies from Registry `src` to Registry `dest` :param Registry dest: Destination Registry :param Registry src: Source Registry :param str name: Name of Command to import :param str api: Pref...
python
def import_command(dest, src, name, api=None, filter_symbol=None): """Import Command `name` and its dependencies from Registry `src` to Registry `dest` :param Registry dest: Destination Registry :param Registry src: Source Registry :param str name: Name of Command to import :param str api: Pref...
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L817-L837
pyokagan/pyglreg
glreg.py
import_enum
def import_enum(dest, src, name): """Import Enum `name` from Registry `src` to Registry `dest`. :param Registry dest: Destination Registry :param Registry src: Source Registry :param str name: Name of Enum to import """ dest.enums[name] = src.enums[name]
python
def import_enum(dest, src, name): """Import Enum `name` from Registry `src` to Registry `dest`. :param Registry dest: Destination Registry :param Registry src: Source Registry :param str name: Name of Enum to import """ dest.enums[name] = src.enums[name]
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L840-L847
pyokagan/pyglreg
glreg.py
import_feature
def import_feature(dest, src, name, api=None, profile=None, filter_symbol=None): """Imports Feature `name`, and all its dependencies, from Registry `src` to Registry `dest`. :param Registry dest: Destination Registry :param Registry src: Source Registry :param str name: Name of F...
python
def import_feature(dest, src, name, api=None, profile=None, filter_symbol=None): """Imports Feature `name`, and all its dependencies, from Registry `src` to Registry `dest`. :param Registry dest: Destination Registry :param Registry src: Source Registry :param str name: Name of F...
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L850-L890
pyokagan/pyglreg
glreg.py
import_extension
def import_extension(dest, src, name, api=None, profile=None, filter_symbol=None): """Imports Extension `name`, and all its dependencies. :param Registry dest: Destination Registry :param Registry src: Source Registry :param str name: Name of Extension to import :param str api:...
python
def import_extension(dest, src, name, api=None, profile=None, filter_symbol=None): """Imports Extension `name`, and all its dependencies. :param Registry dest: Destination Registry :param Registry src: Source Registry :param str name: Name of Extension to import :param str api:...
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L893-L923
pyokagan/pyglreg
glreg.py
import_registry
def import_registry(dest, src, api=None, profile=None, support=None, filter_symbol=None): """Imports all features and extensions and all their dependencies. :param Registry dest: Destination API :param Registry src: Source Registry :param str api: Only import Features with API name ...
python
def import_registry(dest, src, api=None, profile=None, support=None, filter_symbol=None): """Imports all features and extensions and all their dependencies. :param Registry dest: Destination API :param Registry src: Source Registry :param str api: Only import Features with API name ...
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L926-L947
pyokagan/pyglreg
glreg.py
extension_sort_key
def extension_sort_key(extension): """Returns the sorting key for an extension. The sorting key can be used to sort a list of extensions into the order that is used in the Khronos C OpenGL headers. :param Extension extension: Extension to produce sort key for :returns: A sorting key """ nam...
python
def extension_sort_key(extension): """Returns the sorting key for an extension. The sorting key can be used to sort a list of extensions into the order that is used in the Khronos C OpenGL headers. :param Extension extension: Extension to produce sort key for :returns: A sorting key """ nam...
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L950-L960
pyokagan/pyglreg
glreg.py
group_apis
def group_apis(reg, features=None, extensions=None, api=None, profile=None, support=None): """Groups Types, Enums, Commands with their respective Features, Extensions Similar to :py:func:`import_registry`, but generates a new Registry object for every feature or extension. :param Regist...
python
def group_apis(reg, features=None, extensions=None, api=None, profile=None, support=None): """Groups Types, Enums, Commands with their respective Features, Extensions Similar to :py:func:`import_registry`, but generates a new Registry object for every feature or extension. :param Regist...
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L963-L1009
pyokagan/pyglreg
glreg.py
main
def main(args=None, prog=None): """Generates a C header file""" args = args if args is not None else sys.argv[1:] prog = prog if prog is not None else sys.argv[0] # Prevent broken pipe exception from being raised. signal.signal(signal.SIGPIPE, signal.SIG_DFL) stdin = sys.stdin.buffer if hasattr(...
python
def main(args=None, prog=None): """Generates a C header file""" args = args if args is not None else sys.argv[1:] prog = prog if prog is not None else sys.argv[0] # Prevent broken pipe exception from being raised. signal.signal(signal.SIGPIPE, signal.SIG_DFL) stdin = sys.stdin.buffer if hasattr(...
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L1012-L1065
pyokagan/pyglreg
glreg.py
Command.required_types
def required_types(self): """Set of names of types which the Command depends on. """ required_types = set(x.type for x in self.params) required_types.add(self.type) required_types.discard(None) return required_types
python
def required_types(self): """Set of names of types which the Command depends on. """ required_types = set(x.type for x in self.params) required_types.add(self.type) required_types.discard(None) return required_types
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L202-L208
pyokagan/pyglreg
glreg.py
Command.proto_text
def proto_text(self): """Formatted Command identifier. Equivalent to ``self.proto_template.format(type=self.type, name=self.name)``. """ return self.proto_template.format(type=self.type, name=self.name)
python
def proto_text(self): """Formatted Command identifier. Equivalent to ``self.proto_template.format(type=self.type, name=self.name)``. """ return self.proto_template.format(type=self.type, name=self.name)
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L211-L217
pyokagan/pyglreg
glreg.py
Command.text
def text(self): """Formatted Command declaration. This is the C declaration for the command. """ params = ', '.join(x.text for x in self.params) return '{0} ({1})'.format(self.proto_text, params)
python
def text(self): """Formatted Command declaration. This is the C declaration for the command. """ params = ', '.join(x.text for x in self.params) return '{0} ({1})'.format(self.proto_text, params)
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Formatted Command declaration. This is the C declaration for the command.
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L220-L226
pyokagan/pyglreg
glreg.py
Param.text
def text(self): """Formatted param definition Equivalent to ``self.template.format(name=self.name, type=self.type)``. """ return self.template.format(name=self.name, type=self.type)
python
def text(self): """Formatted param definition Equivalent to ``self.template.format(name=self.name, type=self.type)``. """ return self.template.format(name=self.name, type=self.type)
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L243-L248
pyokagan/pyglreg
glreg.py
Require.as_symbols
def as_symbols(self): """Set of symbols required by this Require :return: set of ``(symbol type, symbol name)`` tuples """ out = set() for name in self.types: out.add(('type', name)) for name in self.enums: out.add(('enum', name)) for name...
python
def as_symbols(self): """Set of symbols required by this Require :return: set of ``(symbol type, symbol name)`` tuples """ out = set() for name in self.types: out.add(('type', name)) for name in self.enums: out.add(('enum', name)) for name...
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L274-L286
pyokagan/pyglreg
glreg.py
Feature.get_profiles
def get_profiles(self): """Returns set of profile names referenced in this Feature :returns: set of profile names """ out = set(x.profile for x in self.requires if x.profile) out.update(x.profile for x in self.removes if x.profile) return out
python
def get_profiles(self): """Returns set of profile names referenced in this Feature :returns: set of profile names """ out = set(x.profile for x in self.requires if x.profile) out.update(x.profile for x in self.removes if x.profile) return out
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Returns set of profile names referenced in this Feature :returns: set of profile names
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L355-L362
pyokagan/pyglreg
glreg.py
Feature.get_requires
def get_requires(self, profile=None): """Get filtered list of Require objects in this Feature :param str profile: Return Require objects with this profile or None to return all Require objects. :return: list of Require objects """ out = [] for...
python
def get_requires(self, profile=None): """Get filtered list of Require objects in this Feature :param str profile: Return Require objects with this profile or None to return all Require objects. :return: list of Require objects """ out = [] for...
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L364-L378
pyokagan/pyglreg
glreg.py
Feature.get_removes
def get_removes(self, profile=None): """Get filtered list of Remove objects in this Feature :param str profile: Return Remove objects with this profile or None to return all Remove objects. :return: list of Remove objects """ out = [] for rem ...
python
def get_removes(self, profile=None): """Get filtered list of Remove objects in this Feature :param str profile: Return Remove objects with this profile or None to return all Remove objects. :return: list of Remove objects """ out = [] for rem ...
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L380-L394
pyokagan/pyglreg
glreg.py
Extension.get_apis
def get_apis(self): """Returns set of api names referenced in this Extension :return: set of api name strings """ out = set() out.update(x.api for x in self.requires if x.api) return out
python
def get_apis(self): """Returns set of api names referenced in this Extension :return: set of api name strings """ out = set() out.update(x.api for x in self.requires if x.api) return out
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L416-L423
pyokagan/pyglreg
glreg.py
Extension.get_profiles
def get_profiles(self): """Returns set of profile names referenced in this Extension :return: set of profile name strings """ return set(x.profile for x in self.requires if x.profile)
python
def get_profiles(self): """Returns set of profile names referenced in this Extension :return: set of profile name strings """ return set(x.profile for x in self.requires if x.profile)
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Returns set of profile names referenced in this Extension :return: set of profile name strings
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L425-L430
pyokagan/pyglreg
glreg.py
Extension.get_requires
def get_requires(self, api=None, profile=None): """Return filtered list of Require objects in this Extension :param str api: Return Require objects with this api name or None to return all Require objects. :param str profile: Return Require objects with this profile or N...
python
def get_requires(self, api=None, profile=None): """Return filtered list of Require objects in this Extension :param str api: Return Require objects with this api name or None to return all Require objects. :param str profile: Return Require objects with this profile or N...
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L439-L458
pyokagan/pyglreg
glreg.py
Registry.text
def text(self): """Formatted API declarations. Equivalent to the concatenation of `text` attributes of types, enums and commands in this Registry. """ out = [] out.extend(x.text for x in self.types.values()) out.extend(x.text for x in self.enums.values()) ...
python
def text(self): """Formatted API declarations. Equivalent to the concatenation of `text` attributes of types, enums and commands in this Registry. """ out = [] out.extend(x.text for x in self.types.values()) out.extend(x.text for x in self.enums.values()) ...
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Formatted API declarations. Equivalent to the concatenation of `text` attributes of types, enums and commands in this Registry.
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L486-L497
pyokagan/pyglreg
glreg.py
Registry.get_type
def get_type(self, name, api=None): """Returns Type `name`, with preference for the Type of `api`. :param str name: Type name :param str api: api name to prefer, of None to prefer types with no api name :return: Type object """ k = (name, api) ...
python
def get_type(self, name, api=None): """Returns Type `name`, with preference for the Type of `api`. :param str name: Type name :param str api: api name to prefer, of None to prefer types with no api name :return: Type object """ k = (name, api) ...
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Returns Type `name`, with preference for the Type of `api`. :param str name: Type name :param str api: api name to prefer, of None to prefer types with no api name :return: Type object
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L499-L511
pyokagan/pyglreg
glreg.py
Registry.get_features
def get_features(self, api=None): """Returns filtered list of features in this registry :param str api: Return only features with this api name, or None to return all features. :return: list of Feature objects """ return [x for x in self.features.values()...
python
def get_features(self, api=None): """Returns filtered list of features in this registry :param str api: Return only features with this api name, or None to return all features. :return: list of Feature objects """ return [x for x in self.features.values()...
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L513-L521
pyokagan/pyglreg
glreg.py
Registry.get_extensions
def get_extensions(self, support=None): """Returns filtered list of extensions in this registry :param support: Return only extensions with this extension support string, or None to return all extensions. :return: list of Extension objects """ return [x f...
python
def get_extensions(self, support=None): """Returns filtered list of extensions in this registry :param support: Return only extensions with this extension support string, or None to return all extensions. :return: list of Extension objects """ return [x f...
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L523-L531
pyokagan/pyglreg
glreg.py
Registry.get_requires
def get_requires(self, api=None, profile=None, support=None): """Returns filtered list of Require objects in this registry :param str api: Return Require objects with this api name or None to return all Require objects. :param str profile: Return Require objects with thi...
python
def get_requires(self, api=None, profile=None, support=None): """Returns filtered list of Require objects in this registry :param str api: Return Require objects with this api name or None to return all Require objects. :param str profile: Return Require objects with thi...
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L533-L552
pyokagan/pyglreg
glreg.py
Registry.get_removes
def get_removes(self, api=None, profile=None): """Returns filtered list of Remove objects in this registry :param str api: Return Remove objects with this api name or None to return all Remove objects. :param str profile: Return Remove objects with this profile or None ...
python
def get_removes(self, api=None, profile=None): """Returns filtered list of Remove objects in this registry :param str api: Return Remove objects with this api name or None to return all Remove objects. :param str profile: Return Remove objects with this profile or None ...
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Returns filtered list of Remove objects in this registry :param str api: Return Remove objects with this api name or None to return all Remove objects. :param str profile: Return Remove objects with this profile or None to return all Remove objects. ...
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L554-L566
pyokagan/pyglreg
glreg.py
Registry.get_apis
def get_apis(self): """Returns set of api names referenced in this Registry :return: set of api name strings """ out = set(x.api for x in self.types.values() if x.api) for ft in self.features.values(): out.update(ft.get_apis()) for ext in self.extensions.valu...
python
def get_apis(self): """Returns set of api names referenced in this Registry :return: set of api name strings """ out = set(x.api for x in self.types.values() if x.api) for ft in self.features.values(): out.update(ft.get_apis()) for ext in self.extensions.valu...
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Returns set of api names referenced in this Registry :return: set of api name strings
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L568-L578
pyokagan/pyglreg
glreg.py
Registry.get_profiles
def get_profiles(self): """Returns set of profile names referenced in this Registry :return: set of profile name strings """ out = set() for ft in self.features.values(): out.update(ft.get_profiles()) for ext in self.extensions.values(): out.updat...
python
def get_profiles(self): """Returns set of profile names referenced in this Registry :return: set of profile name strings """ out = set() for ft in self.features.values(): out.update(ft.get_profiles()) for ext in self.extensions.values(): out.updat...
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Returns set of profile names referenced in this Registry :return: set of profile name strings
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L580-L590
pyokagan/pyglreg
glreg.py
Registry.get_supports
def get_supports(self): """Returns set of extension support strings referenced in this Registry :return: set of extension support strings """ out = set() for ext in self.extensions.values(): out.update(ext.get_supports()) return out
python
def get_supports(self): """Returns set of extension support strings referenced in this Registry :return: set of extension support strings """ out = set() for ext in self.extensions.values(): out.update(ext.get_supports()) return out
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Returns set of extension support strings referenced in this Registry :return: set of extension support strings
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train
https://github.com/pyokagan/pyglreg/blob/68fa5a6c6cee8667879840fbbcc7d30f52852915/glreg.py#L592-L600
maxfischer2781/include
include/files/import_hook.py
FilePathLoader.load_module
def load_module(self, name): """ Load and return a module Always returns the corresponding module. If the module is already loaded, the existing module is returned. """ if name in sys.modules: return sys.modules[name] path = self.module2uri(name) ...
python
def load_module(self, name): """ Load and return a module Always returns the corresponding module. If the module is already loaded, the existing module is returned. """ if name in sys.modules: return sys.modules[name] path = self.module2uri(name) ...
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Load and return a module Always returns the corresponding module. If the module is already loaded, the existing module is returned.
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train
https://github.com/maxfischer2781/include/blob/d8b0404f4996b6abcd39fdebf282b31fad8bb6f5/include/files/import_hook.py#L15-L30
evfredericksen/pynacea
pynhost/pynhost/platforms/linux.py
get_open_window_names
def get_open_window_names(): ''' Return a dict with open program names and their corresponding decimal ids ''' raw_names = subprocess.check_output(['wmctrl', '-l']).decode('utf8').split('\n') split_names = [name.split() for name in raw_names if name] name_dict = {} for name in split_names: ...
python
def get_open_window_names(): ''' Return a dict with open program names and their corresponding decimal ids ''' raw_names = subprocess.check_output(['wmctrl', '-l']).decode('utf8').split('\n') split_names = [name.split() for name in raw_names if name] name_dict = {} for name in split_names: ...
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Return a dict with open program names and their corresponding decimal ids
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train
https://github.com/evfredericksen/pynacea/blob/63ee0e6695209048bf2571aa2c3770f502e29b0a/pynhost/pynhost/platforms/linux.py#L62-L72
pudo-attic/loadkit
loadkit/operators/table.py
resource_row_set
def resource_row_set(package, resource): """ Generate an iterator over all the rows in this resource's source data. """ # This is a work-around because messytables hangs on boto file # handles, so we're doing it via plain old HTTP. table_set = any_tableset(resource.fh(), ...
python
def resource_row_set(package, resource): """ Generate an iterator over all the rows in this resource's source data. """ # This is a work-around because messytables hangs on boto file # handles, so we're doing it via plain old HTTP. table_set = any_tableset(resource.fh(), ...
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Generate an iterator over all the rows in this resource's source data.
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train
https://github.com/pudo-attic/loadkit/blob/1fb17e69e2ffaf3dac4f40b574c3b7afb2198b7c/loadkit/operators/table.py#L18-L37
pudo-attic/loadkit
loadkit/operators/table.py
column_alias
def column_alias(cell, names): """ Generate a normalized version of the column name. """ column = slugify(cell.column or '', sep='_') column = column.strip('_') column = 'column' if not len(column) else column name, i = column, 2 # de-dupe: column, column_2, column_3, ... while name in names...
python
def column_alias(cell, names): """ Generate a normalized version of the column name. """ column = slugify(cell.column or '', sep='_') column = column.strip('_') column = 'column' if not len(column) else column name, i = column, 2 # de-dupe: column, column_2, column_3, ... while name in names...
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Generate a normalized version of the column name.
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train
https://github.com/pudo-attic/loadkit/blob/1fb17e69e2ffaf3dac4f40b574c3b7afb2198b7c/loadkit/operators/table.py#L40-L50
pudo-attic/loadkit
loadkit/operators/table.py
generate_field_spec
def generate_field_spec(row): """ Generate a set of metadata for each field/column in the data. This is loosely based on jsontableschema. """ names = set() fields = [] for cell in row: name = column_alias(cell, names) field = { 'name': name, 'title': cell.colu...
python
def generate_field_spec(row): """ Generate a set of metadata for each field/column in the data. This is loosely based on jsontableschema. """ names = set() fields = [] for cell in row: name = column_alias(cell, names) field = { 'name': name, 'title': cell.colu...
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Generate a set of metadata for each field/column in the data. This is loosely based on jsontableschema.
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train
https://github.com/pudo-attic/loadkit/blob/1fb17e69e2ffaf3dac4f40b574c3b7afb2198b7c/loadkit/operators/table.py#L53-L72
pudo-attic/loadkit
loadkit/operators/table.py
random_sample
def random_sample(value, field, row, num=10): """ Collect a random sample of the values in a particular field based on the reservoir sampling technique. """ # TODO: Could become a more general DQ piece. if value is None: field['has_nulls'] = True return if value in field['samples']: ...
python
def random_sample(value, field, row, num=10): """ Collect a random sample of the values in a particular field based on the reservoir sampling technique. """ # TODO: Could become a more general DQ piece. if value is None: field['has_nulls'] = True return if value in field['samples']: ...
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train
https://github.com/pudo-attic/loadkit/blob/1fb17e69e2ffaf3dac4f40b574c3b7afb2198b7c/loadkit/operators/table.py#L75-L92
jic-dtool/dtool-config
dtool_config/cli.py
name
def name(username): """Display / set / update the user name.""" if not username: click.secho(dtool_config.utils.get_username(CONFIG_PATH)) else: username_str = " ".join(username) click.secho(dtool_config.utils.set_username(CONFIG_PATH, username_str))
python
def name(username): """Display / set / update the user name.""" if not username: click.secho(dtool_config.utils.get_username(CONFIG_PATH)) else: username_str = " ".join(username) click.secho(dtool_config.utils.set_username(CONFIG_PATH, username_str))
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Display / set / update the user name.
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train
https://github.com/jic-dtool/dtool-config/blob/21afa99a6794909e1d0180a45895492b4b726a51/dtool_config/cli.py#L25-L31