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mdscruggs/ga
ga/examples/irrigation.py
IrrigationGA.eval_fitness
def eval_fitness(self, chromosome): """ Return the number of plants reached by the sprinkler. Returns a large penalty for sprinkler locations outside the map. """ # convert DNA to represented sprinkler coordinates sx, sy = self.translator.translate_chromosome(chromosome)...
python
def eval_fitness(self, chromosome): """ Return the number of plants reached by the sprinkler. Returns a large penalty for sprinkler locations outside the map. """ # convert DNA to represented sprinkler coordinates sx, sy = self.translator.translate_chromosome(chromosome)...
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Return the number of plants reached by the sprinkler. Returns a large penalty for sprinkler locations outside the map.
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train
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mdscruggs/ga
ga/examples/irrigation.py
IrrigationGA.map_sprinkler
def map_sprinkler(self, sx, sy, watered_crop='^', watered_field='_', dry_field=' ', dry_crop='x'): """ Return a version of the ASCII map showing reached crop cells. """ # convert strings (rows) to lists of characters for easier map editing maplist = [list(s) for s in self.maplist...
python
def map_sprinkler(self, sx, sy, watered_crop='^', watered_field='_', dry_field=' ', dry_crop='x'): """ Return a version of the ASCII map showing reached crop cells. """ # convert strings (rows) to lists of characters for easier map editing maplist = [list(s) for s in self.maplist...
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Return a version of the ASCII map showing reached crop cells.
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brejoc/django-intercoolerjs
demo/counter/views.py
index
def index(request, template_name="index.html"): """\ The index view, which basically just displays a button and increments a counter. """ if request.GET.get('ic-request'): counter, created = Counter.objects.get_or_create(pk=1) counter.value += 1 counter.save() else: ...
python
def index(request, template_name="index.html"): """\ The index view, which basically just displays a button and increments a counter. """ if request.GET.get('ic-request'): counter, created = Counter.objects.get_or_create(pk=1) counter.value += 1 counter.save() else: ...
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mdscruggs/ga
ga/algorithms.py
BaseGeneticAlgorithm.get_fitness
def get_fitness(self, chromosome): """ Get the fitness score for a chromosome, using the cached value if available. """ fitness = self.fitness_cache.get(chromosome.dna) if fitness is None: fitness = self.eval_fitness(chromosome) self.fitness_cache[chromosome.dna] = fitne...
python
def get_fitness(self, chromosome): """ Get the fitness score for a chromosome, using the cached value if available. """ fitness = self.fitness_cache.get(chromosome.dna) if fitness is None: fitness = self.eval_fitness(chromosome) self.fitness_cache[chromosome.dna] = fitne...
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mdscruggs/ga
ga/algorithms.py
BaseGeneticAlgorithm.compete
def compete(self, chromosomes): """ Simulate competition/survival of the fittest. The fitness of each chromosome is used to calculate a survival probability based on how it compares to the overall fitness range of the run and the fitness range of the current generation. ...
python
def compete(self, chromosomes): """ Simulate competition/survival of the fittest. The fitness of each chromosome is used to calculate a survival probability based on how it compares to the overall fitness range of the run and the fitness range of the current generation. ...
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train
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mdscruggs/ga
ga/algorithms.py
BaseGeneticAlgorithm.reproduce
def reproduce(self, survivors, p_crossover, two_point_crossover=False, target_size=None): """ Reproduces the population from a pool of surviving chromosomes until a target population size is met. Offspring are created by selecting a survivor. Survivors with higher fitness have a ...
python
def reproduce(self, survivors, p_crossover, two_point_crossover=False, target_size=None): """ Reproduces the population from a pool of surviving chromosomes until a target population size is met. Offspring are created by selecting a survivor. Survivors with higher fitness have a ...
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mdscruggs/ga
ga/algorithms.py
BaseGeneticAlgorithm.mutate
def mutate(self, chromosomes, p_mutate): """ Call every chromosome's ``mutate`` method. p_mutate: probability of mutation in [0, 1] """ assert 0 <= p_mutate <= 1 for chromosome in chromosomes: chromosome.mutate(p_mutate)
python
def mutate(self, chromosomes, p_mutate): """ Call every chromosome's ``mutate`` method. p_mutate: probability of mutation in [0, 1] """ assert 0 <= p_mutate <= 1 for chromosome in chromosomes: chromosome.mutate(p_mutate)
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mdscruggs/ga
ga/algorithms.py
BaseGeneticAlgorithm.run
def run(self, generations, p_mutate, p_crossover, elitist=True, two_point_crossover=False, refresh_after=None, quit_after=None): """ Run a standard genetic algorithm simulation for a set number of generations (iterations), each consisting of the following ordered steps: ...
python
def run(self, generations, p_mutate, p_crossover, elitist=True, two_point_crossover=False, refresh_after=None, quit_after=None): """ Run a standard genetic algorithm simulation for a set number of generations (iterations), each consisting of the following ordered steps: ...
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train
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mdscruggs/ga
ga/chromosomes.py
Chromosome.create_random
def create_random(cls, gene_length, n=1, gene_class=BinaryGene): """ Create 1 or more chromosomes with randomly generated DNA. gene_length: int (or sequence of ints) describing gene DNA length n: number of chromosomes to create (default=1); returns a list if n>1, else a single chromos...
python
def create_random(cls, gene_length, n=1, gene_class=BinaryGene): """ Create 1 or more chromosomes with randomly generated DNA. gene_length: int (or sequence of ints) describing gene DNA length n: number of chromosomes to create (default=1); returns a list if n>1, else a single chromos...
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https://github.com/mdscruggs/ga/blob/adac7a004e5e22d888e44ab39f313064c3803b38/ga/chromosomes.py#L12-L36
mdscruggs/ga
ga/chromosomes.py
Chromosome.dna
def dna(self, dna): """ Replace this chromosome's DNA with new DNA of equal length, assigning the new DNA to the chromosome's genes sequentially. For example, if a chromosome contains these genes... 1. 100100 2. 011011 ...and the new DNA...
python
def dna(self, dna): """ Replace this chromosome's DNA with new DNA of equal length, assigning the new DNA to the chromosome's genes sequentially. For example, if a chromosome contains these genes... 1. 100100 2. 011011 ...and the new DNA...
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mdscruggs/ga
ga/chromosomes.py
Chromosome.crossover
def crossover(self, chromosome, point1, point2=None): """ Exchange DNA with another chromosome of equal length at one or two common points. For example, consider chromosomes: 1. 11110000 2. 00001111 If the crossover point is 4, the exchange results...
python
def crossover(self, chromosome, point1, point2=None): """ Exchange DNA with another chromosome of equal length at one or two common points. For example, consider chromosomes: 1. 11110000 2. 00001111 If the crossover point is 4, the exchange results...
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train
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mdscruggs/ga
ga/chromosomes.py
Chromosome.mutate
def mutate(self, p_mutate): """ Check all genes in this chromosome for mutation. p_mutate: probability for mutation to occur """ assert 0 <= p_mutate <= 1 for gene in self.genes: gene.mutate(p_mutate)
python
def mutate(self, p_mutate): """ Check all genes in this chromosome for mutation. p_mutate: probability for mutation to occur """ assert 0 <= p_mutate <= 1 for gene in self.genes: gene.mutate(p_mutate)
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mdscruggs/ga
ga/chromosomes.py
Chromosome.copy
def copy(self): """ Return a new instance of this chromosome by copying its genes. """ genes = [g.copy() for g in self.genes] return type(self)(genes)
python
def copy(self): """ Return a new instance of this chromosome by copying its genes. """ genes = [g.copy() for g in self.genes] return type(self)(genes)
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mdscruggs/ga
ga/chromosomes.py
ReorderingSetChromosome.check_genes
def check_genes(self): """ Assert that every DNA choice is represented by exactly one gene. """ gene_dna_set = set([g.dna for g in self.genes]) assert gene_dna_set == self.dna_choices_set
python
def check_genes(self): """ Assert that every DNA choice is represented by exactly one gene. """ gene_dna_set = set([g.dna for g in self.genes]) assert gene_dna_set == self.dna_choices_set
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pymacaron/pymacaron
pymacaron/crash.py
report_error
def report_error(title=None, data={}, caught=None, is_fatal=False): """Format a crash report and send it somewhere relevant. There are two types of crashes: fatal crashes (backend errors) or non-fatal ones (just reporting a glitch, but the api call did not fail)""" # Don't report errors if NO_ERROR_REP...
python
def report_error(title=None, data={}, caught=None, is_fatal=False): """Format a crash report and send it somewhere relevant. There are two types of crashes: fatal crashes (backend errors) or non-fatal ones (just reporting a glitch, but the api call did not fail)""" # Don't report errors if NO_ERROR_REP...
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pymacaron/pymacaron
pymacaron/crash.py
populate_error_report
def populate_error_report(data): """Add generic stats to the error report""" # Did pymacaron_core set a call_id and call_path? call_id, call_path = '', '' if hasattr(stack.top, 'call_id'): call_id = stack.top.call_id if hasattr(stack.top, 'call_path'): call_path = stack.top.call_pat...
python
def populate_error_report(data): """Add generic stats to the error report""" # Did pymacaron_core set a call_id and call_path? call_id, call_path = '', '' if hasattr(stack.top, 'call_id'): call_id = stack.top.call_id if hasattr(stack.top, 'call_path'): call_path = stack.top.call_pat...
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pymacaron/pymacaron
pymacaron/crash.py
generate_crash_handler_decorator
def generate_crash_handler_decorator(error_decorator=None): """Return the crash_handler to pass to pymacaron_core, with optional error decoration""" def crash_handler(f): """Return a decorator that reports failed api calls via the error_reporter, for use on every server endpoint""" @wr...
python
def generate_crash_handler_decorator(error_decorator=None): """Return the crash_handler to pass to pymacaron_core, with optional error decoration""" def crash_handler(f): """Return a decorator that reports failed api calls via the error_reporter, for use on every server endpoint""" @wr...
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openstack/python-monascaclient
monascaclient/v2_0/metrics.py
MetricsManager.create
def create(self, **kwargs): """Create a metric.""" url_str = self.base_url if 'tenant_id' in kwargs: url_str = url_str + '?tenant_id=%s' % kwargs['tenant_id'] del kwargs['tenant_id'] data = kwargs['jsonbody'] if 'jsonbody' in kwargs else kwargs body = sel...
python
def create(self, **kwargs): """Create a metric.""" url_str = self.base_url if 'tenant_id' in kwargs: url_str = url_str + '?tenant_id=%s' % kwargs['tenant_id'] del kwargs['tenant_id'] data = kwargs['jsonbody'] if 'jsonbody' in kwargs else kwargs body = sel...
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tristantao/py-ms-cognitive
py_ms_cognitive/py_ms_cognitive_search/py_ms_cognitive_search.py
PyMsCognitiveSearch.get_json_results
def get_json_results(self, response): ''' Parses the request result and returns the JSON object. Handles all errors. ''' try: # return the proper JSON object, or error code if request didn't go through. self.most_recent_json = response.json() json_resu...
python
def get_json_results(self, response): ''' Parses the request result and returns the JSON object. Handles all errors. ''' try: # return the proper JSON object, or error code if request didn't go through. self.most_recent_json = response.json() json_resu...
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train
https://github.com/tristantao/py-ms-cognitive/blob/8f4b10df1b4bf1f2c9af64218cfcdc35176b75e7/py_ms_cognitive/py_ms_cognitive_search/py_ms_cognitive_search.py#L38-L67
tristantao/py-ms-cognitive
py_ms_cognitive/py_ms_cognitive_search/py_ms_cognitive_search.py
PyMsCognitiveSearch.search_all
def search_all(self, quota=50, format='json'): ''' Returns a single list containing up to 'limit' Result objects Will keep requesting until quota is met Will also truncate extra results to return exactly the given quota ''' quota_left = quota results = [] ...
python
def search_all(self, quota=50, format='json'): ''' Returns a single list containing up to 'limit' Result objects Will keep requesting until quota is met Will also truncate extra results to return exactly the given quota ''' quota_left = quota results = [] ...
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Returns a single list containing up to 'limit' Result objects Will keep requesting until quota is met Will also truncate extra results to return exactly the given quota
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train
https://github.com/tristantao/py-ms-cognitive/blob/8f4b10df1b4bf1f2c9af64218cfcdc35176b75e7/py_ms_cognitive/py_ms_cognitive_search/py_ms_cognitive_search.py#L73-L89
openstack/python-monascaclient
monascaclient/common/utils.py
format_parameters
def format_parameters(params): '''Reformat parameters into dict of format expected by the API.''' if not params: return {} # expect multiple invocations of --parameters but fall back # to ; delimited if only one --parameters is specified if len(params) == 1: if params[0].find(';') ...
python
def format_parameters(params): '''Reformat parameters into dict of format expected by the API.''' if not params: return {} # expect multiple invocations of --parameters but fall back # to ; delimited if only one --parameters is specified if len(params) == 1: if params[0].find(';') ...
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Reformat parameters into dict of format expected by the API.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/common/utils.py#L91-L121
openstack/python-monascaclient
monascaclient/v2_0/alarms.py
AlarmsManager.delete
def delete(self, **kwargs): """Delete a specific alarm.""" url_str = self.base_url + '/%s' % kwargs['alarm_id'] resp = self.client.delete(url_str) return resp
python
def delete(self, **kwargs): """Delete a specific alarm.""" url_str = self.base_url + '/%s' % kwargs['alarm_id'] resp = self.client.delete(url_str) return resp
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Delete a specific alarm.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/alarms.py#L39-L43
openstack/python-monascaclient
monascaclient/v2_0/alarms.py
AlarmsManager.history
def history(self, **kwargs): """History of a specific alarm.""" url_str = self.base_url + '/%s/state-history' % kwargs['alarm_id'] del kwargs['alarm_id'] if kwargs: url_str = url_str + '?%s' % parse.urlencode(kwargs, True) resp = self.client.list(url_str) retu...
python
def history(self, **kwargs): """History of a specific alarm.""" url_str = self.base_url + '/%s/state-history' % kwargs['alarm_id'] del kwargs['alarm_id'] if kwargs: url_str = url_str + '?%s' % parse.urlencode(kwargs, True) resp = self.client.list(url_str) retu...
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History of a specific alarm.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/alarms.py#L79-L86
openstack/python-monascaclient
monascaclient/v2_0/alarms.py
AlarmsManager.history_list
def history_list(self, **kwargs): """History list of alarm state.""" url_str = self.base_url + '/state-history/' if 'dimensions' in kwargs: dimstr = self.get_dimensions_url_string(kwargs['dimensions']) kwargs['dimensions'] = dimstr if kwargs: url_str =...
python
def history_list(self, **kwargs): """History list of alarm state.""" url_str = self.base_url + '/state-history/' if 'dimensions' in kwargs: dimstr = self.get_dimensions_url_string(kwargs['dimensions']) kwargs['dimensions'] = dimstr if kwargs: url_str =...
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History list of alarm state.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/alarms.py#L88-L97
pymacaron/pymacaron
pymacaron/api.py
do_version
def do_version(): """Return version details of the running server api""" v = ApiPool.ping.model.Version( name=ApiPool().current_server_name, version=ApiPool().current_server_api.get_version(), container=get_container_version(), ) log.info("/version: " + pprint.pformat(v)) ret...
python
def do_version(): """Return version details of the running server api""" v = ApiPool.ping.model.Version( name=ApiPool().current_server_name, version=ApiPool().current_server_api.get_version(), container=get_container_version(), ) log.info("/version: " + pprint.pformat(v)) ret...
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Return version details of the running server api
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train
https://github.com/pymacaron/pymacaron/blob/af244f203f8216108b39d374d46bf8e1813f13d5/pymacaron/api.py#L27-L35
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_metric_create
def do_metric_create(mc, args): '''Create metric.''' fields = {} fields['name'] = args.name if args.dimensions: fields['dimensions'] = utils.format_parameters(args.dimensions) fields['timestamp'] = args.time fields['value'] = args.value if args.value_meta: fields['value_meta'...
python
def do_metric_create(mc, args): '''Create metric.''' fields = {} fields['name'] = args.name if args.dimensions: fields['dimensions'] = utils.format_parameters(args.dimensions) fields['timestamp'] = args.time fields['value'] = args.value if args.value_meta: fields['value_meta'...
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Create metric.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L72-L89
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_metric_create_raw
def do_metric_create_raw(mc, args): '''Create metric from raw json body.''' try: mc.metrics.create(**args.jsonbody) except (osc_exc.ClientException, k_exc.HttpError) as he: raise osc_exc.CommandError('%s\n%s' % (he.message, he.details)) else: print('Successfully created metric')
python
def do_metric_create_raw(mc, args): '''Create metric from raw json body.''' try: mc.metrics.create(**args.jsonbody) except (osc_exc.ClientException, k_exc.HttpError) as he: raise osc_exc.CommandError('%s\n%s' % (he.message, he.details)) else: print('Successfully created metric')
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Create metric from raw json body.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L95-L102
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_metric_name_list
def do_metric_name_list(mc, args): '''List names of metrics.''' fields = {} if args.dimensions: fields['dimensions'] = utils.format_dimensions_query(args.dimensions) if args.limit: fields['limit'] = args.limit if args.offset: fields['offset'] = args.offset if args.tenant_...
python
def do_metric_name_list(mc, args): '''List names of metrics.''' fields = {} if args.dimensions: fields['dimensions'] = utils.format_dimensions_query(args.dimensions) if args.limit: fields['limit'] = args.limit if args.offset: fields['offset'] = args.offset if args.tenant_...
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List names of metrics.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L119-L140
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_metric_list
def do_metric_list(mc, args): '''List metrics for this tenant.''' fields = {} if args.name: fields['name'] = args.name if args.dimensions: fields['dimensions'] = utils.format_dimensions_query(args.dimensions) if args.limit: fields['limit'] = args.limit if args.offset: ...
python
def do_metric_list(mc, args): '''List metrics for this tenant.''' fields = {} if args.name: fields['name'] = args.name if args.dimensions: fields['dimensions'] = utils.format_dimensions_query(args.dimensions) if args.limit: fields['limit'] = args.limit if args.offset: ...
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List metrics for this tenant.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L164-L206
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_dimension_name_list
def do_dimension_name_list(mc, args): '''List names of metric dimensions.''' fields = {} if args.metric_name: fields['metric_name'] = args.metric_name if args.limit: fields['limit'] = args.limit if args.offset: fields['offset'] = args.offset if args.tenant_id: fie...
python
def do_dimension_name_list(mc, args): '''List names of metric dimensions.''' fields = {} if args.metric_name: fields['metric_name'] = args.metric_name if args.limit: fields['limit'] = args.limit if args.offset: fields['offset'] = args.offset if args.tenant_id: fie...
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List names of metric dimensions.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L220-L243
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_dimension_value_list
def do_dimension_value_list(mc, args): '''List names of metric dimensions.''' fields = {} fields['dimension_name'] = args.dimension_name if args.metric_name: fields['metric_name'] = args.metric_name if args.limit: fields['limit'] = args.limit if args.offset: fields['offse...
python
def do_dimension_value_list(mc, args): '''List names of metric dimensions.''' fields = {} fields['dimension_name'] = args.dimension_name if args.metric_name: fields['metric_name'] = args.metric_name if args.limit: fields['limit'] = args.limit if args.offset: fields['offse...
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List names of metric dimensions.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L259-L283
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_metric_statistics
def do_metric_statistics(mc, args): '''List measurement statistics for the specified metric.''' statistic_types = ['AVG', 'MIN', 'MAX', 'COUNT', 'SUM'] statlist = args.statistics.split(',') for stat in statlist: if stat.upper() not in statistic_types: errmsg = ('Invalid type, not one...
python
def do_metric_statistics(mc, args): '''List measurement statistics for the specified metric.''' statistic_types = ['AVG', 'MIN', 'MAX', 'COUNT', 'SUM'] statlist = args.statistics.split(',') for stat in statlist: if stat.upper() not in statistic_types: errmsg = ('Invalid type, not one...
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List measurement statistics for the specified metric.
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train
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openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_notification_show
def do_notification_show(mc, args): '''Describe the notification.''' fields = {} fields['notification_id'] = args.id try: notification = mc.notifications.get(**fields) except (osc_exc.ClientException, k_exc.HttpError) as he: raise osc_exc.CommandError('%s\n%s' % (he.message, he.detai...
python
def do_notification_show(mc, args): '''Describe the notification.''' fields = {} fields['notification_id'] = args.id try: notification = mc.notifications.get(**fields) except (osc_exc.ClientException, k_exc.HttpError) as he: raise osc_exc.CommandError('%s\n%s' % (he.message, he.detai...
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Describe the notification.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L593-L613
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_notification_list
def do_notification_list(mc, args): '''List notifications for this tenant.''' fields = {} if args.limit: fields['limit'] = args.limit if args.offset: fields['offset'] = args.offset if args.sort_by: sort_by = args.sort_by.split(',') for field in sort_by: fi...
python
def do_notification_list(mc, args): '''List notifications for this tenant.''' fields = {} if args.limit: fields['limit'] = args.limit if args.offset: fields['offset'] = args.offset if args.sort_by: sort_by = args.sort_by.split(',') for field in sort_by: fi...
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List notifications for this tenant.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L625-L673
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_notification_delete
def do_notification_delete(mc, args): '''Delete notification.''' fields = {} fields['notification_id'] = args.id try: mc.notifications.delete(**fields) except (osc_exc.ClientException, k_exc.HttpError) as he: raise osc_exc.CommandError('%s\n%s' % (he.message, he.details)) else: ...
python
def do_notification_delete(mc, args): '''Delete notification.''' fields = {} fields['notification_id'] = args.id try: mc.notifications.delete(**fields) except (osc_exc.ClientException, k_exc.HttpError) as he: raise osc_exc.CommandError('%s\n%s' % (he.message, he.details)) else: ...
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Delete notification.
[ "Delete", "notification", "." ]
train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L678-L687
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_notification_update
def do_notification_update(mc, args): '''Update notification.''' fields = {} fields['notification_id'] = args.id fields['name'] = args.name fields['type'] = args.type fields['address'] = args.address if not _validate_notification_period(args.period, args.type.upper()): return fi...
python
def do_notification_update(mc, args): '''Update notification.''' fields = {} fields['notification_id'] = args.id fields['name'] = args.name fields['type'] = args.type fields['address'] = args.address if not _validate_notification_period(args.period, args.type.upper()): return fi...
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Update notification.
[ "Update", "notification", "." ]
train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L700-L716
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_alarm_definition_create
def do_alarm_definition_create(mc, args): '''Create an alarm definition.''' fields = {} fields['name'] = args.name if args.description: fields['description'] = args.description fields['expression'] = args.expression if args.alarm_actions: fields['alarm_actions'] = args.alarm_acti...
python
def do_alarm_definition_create(mc, args): '''Create an alarm definition.''' fields = {} fields['name'] = args.name if args.description: fields['description'] = args.description fields['expression'] = args.expression if args.alarm_actions: fields['alarm_actions'] = args.alarm_acti...
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Create an alarm definition.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L788-L812
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_alarm_definition_list
def do_alarm_definition_list(mc, args): '''List alarm definitions for this tenant.''' fields = {} if args.name: fields['name'] = args.name if args.dimensions: fields['dimensions'] = utils.format_dimensions_query(args.dimensions) if args.severity: if not _validate_severity(arg...
python
def do_alarm_definition_list(mc, args): '''List alarm definitions for this tenant.''' fields = {} if args.name: fields['name'] = args.name if args.dimensions: fields['dimensions'] = utils.format_dimensions_query(args.dimensions) if args.severity: if not _validate_severity(arg...
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List alarm definitions for this tenant.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L867-L918
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_alarm_definition_delete
def do_alarm_definition_delete(mc, args): '''Delete the alarm definition.''' fields = {} fields['alarm_id'] = args.id try: mc.alarm_definitions.delete(**fields) except (osc_exc.ClientException, k_exc.HttpError) as he: raise osc_exc.CommandError('%s\n%s' % (he.message, he.details)) ...
python
def do_alarm_definition_delete(mc, args): '''Delete the alarm definition.''' fields = {} fields['alarm_id'] = args.id try: mc.alarm_definitions.delete(**fields) except (osc_exc.ClientException, k_exc.HttpError) as he: raise osc_exc.CommandError('%s\n%s' % (he.message, he.details)) ...
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Delete the alarm definition.
[ "Delete", "the", "alarm", "definition", "." ]
train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L923-L932
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_alarm_definition_update
def do_alarm_definition_update(mc, args): '''Update the alarm definition.''' fields = {} fields['alarm_id'] = args.id fields['name'] = args.name fields['description'] = args.description fields['expression'] = args.expression fields['alarm_actions'] = _arg_split_patch_update(args.alarm_action...
python
def do_alarm_definition_update(mc, args): '''Update the alarm definition.''' fields = {} fields['alarm_id'] = args.id fields['name'] = args.name fields['description'] = args.description fields['expression'] = args.expression fields['alarm_actions'] = _arg_split_patch_update(args.alarm_action...
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Update the alarm definition.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L962-L987
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_alarm_definition_patch
def do_alarm_definition_patch(mc, args): '''Patch the alarm definition.''' fields = {} fields['alarm_id'] = args.id if args.name: fields['name'] = args.name if args.description: fields['description'] = args.description if args.expression: fields['expression'] = args.expre...
python
def do_alarm_definition_patch(mc, args): '''Patch the alarm definition.''' fields = {} fields['alarm_id'] = args.id if args.name: fields['name'] = args.name if args.description: fields['description'] = args.description if args.expression: fields['expression'] = args.expre...
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Patch the alarm definition.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L1014-L1047
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_alarm_list
def do_alarm_list(mc, args): '''List alarms for this tenant.''' fields = {} if args.alarm_definition_id: fields['alarm_definition_id'] = args.alarm_definition_id if args.metric_name: fields['metric_name'] = args.metric_name if args.metric_dimensions: fields['metric_dimensions...
python
def do_alarm_list(mc, args): '''List alarms for this tenant.''' fields = {} if args.alarm_definition_id: fields['alarm_definition_id'] = args.alarm_definition_id if args.metric_name: fields['metric_name'] = args.metric_name if args.metric_dimensions: fields['metric_dimensions...
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List alarms for this tenant.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L1082-L1157
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_alarm_show
def do_alarm_show(mc, args): '''Describe the alarm.''' fields = {} fields['alarm_id'] = args.id try: alarm = mc.alarms.get(**fields) except (osc_exc.ClientException, k_exc.HttpError) as he: raise osc_exc.CommandError('%s\n%s' % (he.message, he.details)) else: if args.json...
python
def do_alarm_show(mc, args): '''Describe the alarm.''' fields = {} fields['alarm_id'] = args.id try: alarm = mc.alarms.get(**fields) except (osc_exc.ClientException, k_exc.HttpError) as he: raise osc_exc.CommandError('%s\n%s' % (he.message, he.details)) else: if args.json...
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Describe the alarm.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L1162-L1182
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_alarm_update
def do_alarm_update(mc, args): '''Update the alarm state.''' fields = {} fields['alarm_id'] = args.id if args.state.upper() not in state_types: errmsg = ('Invalid state, not one of [' + ', '.join(state_types) + ']') print(errmsg) return field...
python
def do_alarm_update(mc, args): '''Update the alarm state.''' fields = {} fields['alarm_id'] = args.id if args.state.upper() not in state_types: errmsg = ('Invalid state, not one of [' + ', '.join(state_types) + ']') print(errmsg) return field...
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Update the alarm state.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L1193-L1210
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_alarm_delete
def do_alarm_delete(mc, args): '''Delete the alarm.''' fields = {} fields['alarm_id'] = args.id try: mc.alarms.delete(**fields) except (osc_exc.ClientException, k_exc.HttpError) as he: raise osc_exc.CommandError('%s\n%s' % (he.message, he.details)) else: print('Successful...
python
def do_alarm_delete(mc, args): '''Delete the alarm.''' fields = {} fields['alarm_id'] = args.id try: mc.alarms.delete(**fields) except (osc_exc.ClientException, k_exc.HttpError) as he: raise osc_exc.CommandError('%s\n%s' % (he.message, he.details)) else: print('Successful...
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Delete the alarm.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L1246-L1255
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_alarm_count
def do_alarm_count(mc, args): '''Count alarms.''' fields = {} if args.alarm_definition_id: fields['alarm_definition_id'] = args.alarm_definition_id if args.metric_name: fields['metric_name'] = args.metric_name if args.metric_dimensions: fields['metric_dimensions'] = utils.for...
python
def do_alarm_count(mc, args): '''Count alarms.''' fields = {} if args.alarm_definition_id: fields['alarm_definition_id'] = args.alarm_definition_id if args.metric_name: fields['metric_name'] = args.metric_name if args.metric_dimensions: fields['metric_dimensions'] = utils.for...
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Count alarms.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L1315-L1364
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_alarm_history
def do_alarm_history(mc, args): '''Alarm state transition history.''' fields = {} fields['alarm_id'] = args.id if args.limit: fields['limit'] = args.limit if args.offset: fields['offset'] = args.offset try: alarm = mc.alarms.history(**fields) except (osc_exc.ClientExc...
python
def do_alarm_history(mc, args): '''Alarm state transition history.''' fields = {} fields['alarm_id'] = args.id if args.limit: fields['limit'] = args.limit if args.offset: fields['offset'] = args.offset try: alarm = mc.alarms.history(**fields) except (osc_exc.ClientExc...
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Alarm state transition history.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L1373-L1386
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_alarm_history_list
def do_alarm_history_list(mc, args): '''List alarms state history.''' fields = {} if args.dimensions: fields['dimensions'] = utils.format_parameters(args.dimensions) if args.starttime: _translate_starttime(args) fields['start_time'] = args.starttime if args.endtime: f...
python
def do_alarm_history_list(mc, args): '''List alarms state history.''' fields = {} if args.dimensions: fields['dimensions'] = utils.format_parameters(args.dimensions) if args.starttime: _translate_starttime(args) fields['start_time'] = args.starttime if args.endtime: f...
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List alarms state history.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L1405-L1424
openstack/python-monascaclient
monascaclient/v2_0/shell.py
do_notification_type_list
def do_notification_type_list(mc, args): '''List notification types supported by monasca.''' try: notification_types = mc.notificationtypes.list() except (osc_exc.ClientException, k_exc.HttpError) as he: raise osc_exc.CommandError('%s\n%s' % (he.message, he.details)) else: if ar...
python
def do_notification_type_list(mc, args): '''List notification types supported by monasca.''' try: notification_types = mc.notificationtypes.list() except (osc_exc.ClientException, k_exc.HttpError) as he: raise osc_exc.CommandError('%s\n%s' % (he.message, he.details)) else: if ar...
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List notification types supported by monasca.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/shell.py#L1427-L1441
pymacaron/pymacaron
pymacaron/auth.py
requires_auth
def requires_auth(f): """A decorator for flask api methods that validates auth0 tokens, hence ensuring that the user is authenticated. Code coped from: https://github.com/auth0/auth0-python/tree/master/examples/flask-api """ @wraps(f) def requires_auth_decorator(*args, **kwargs): try: ...
python
def requires_auth(f): """A decorator for flask api methods that validates auth0 tokens, hence ensuring that the user is authenticated. Code coped from: https://github.com/auth0/auth0-python/tree/master/examples/flask-api """ @wraps(f) def requires_auth_decorator(*args, **kwargs): try: ...
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A decorator for flask api methods that validates auth0 tokens, hence ensuring that the user is authenticated. Code coped from: https://github.com/auth0/auth0-python/tree/master/examples/flask-api
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train
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pymacaron/pymacaron
pymacaron/auth.py
add_auth
def add_auth(f): """A decorator that adds the authentication header to requests arguments""" def add_auth_decorator(*args, **kwargs): token = get_user_token() if 'headers' not in kwargs: kwargs['headers'] = {} kwargs['headers']['Authorization'] = "Bearer %s" % token ...
python
def add_auth(f): """A decorator that adds the authentication header to requests arguments""" def add_auth_decorator(*args, **kwargs): token = get_user_token() if 'headers' not in kwargs: kwargs['headers'] = {} kwargs['headers']['Authorization'] = "Bearer %s" % token ...
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https://github.com/pymacaron/pymacaron/blob/af244f203f8216108b39d374d46bf8e1813f13d5/pymacaron/auth.py#L44-L54
pymacaron/pymacaron
pymacaron/auth.py
load_auth_token
def load_auth_token(token, load=True): """Validate an auth0 token. Returns the token's payload, or an exception of the type:""" assert get_config().jwt_secret, "No JWT secret configured for pymacaron" assert get_config().jwt_issuer, "No JWT issuer configured for pymacaron" assert get_config().jwt_a...
python
def load_auth_token(token, load=True): """Validate an auth0 token. Returns the token's payload, or an exception of the type:""" assert get_config().jwt_secret, "No JWT secret configured for pymacaron" assert get_config().jwt_issuer, "No JWT issuer configured for pymacaron" assert get_config().jwt_a...
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Validate an auth0 token. Returns the token's payload, or an exception of the type:
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train
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pymacaron/pymacaron
pymacaron/auth.py
authenticate_http_request
def authenticate_http_request(token=None): """Validate auth0 tokens passed in the request's header, hence ensuring that the user is authenticated. Code copied from: https://github.com/auth0/auth0-python/tree/master/examples/flask-api Return a PntCommonException if failed to validate authentication. ...
python
def authenticate_http_request(token=None): """Validate auth0 tokens passed in the request's header, hence ensuring that the user is authenticated. Code copied from: https://github.com/auth0/auth0-python/tree/master/examples/flask-api Return a PntCommonException if failed to validate authentication. ...
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train
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pymacaron/pymacaron
pymacaron/auth.py
generate_token
def generate_token(user_id, expire_in=None, data={}, issuer=None, iat=None): """Generate a new JWT token for this user_id. Default expiration date is 1 year from creation time""" assert user_id, "No user_id passed to generate_token()" assert isinstance(data, dict), "generate_token(data=) should be a dic...
python
def generate_token(user_id, expire_in=None, data={}, issuer=None, iat=None): """Generate a new JWT token for this user_id. Default expiration date is 1 year from creation time""" assert user_id, "No user_id passed to generate_token()" assert isinstance(data, dict), "generate_token(data=) should be a dic...
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Generate a new JWT token for this user_id. Default expiration date is 1 year from creation time
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train
https://github.com/pymacaron/pymacaron/blob/af244f203f8216108b39d374d46bf8e1813f13d5/pymacaron/auth.py#L156-L200
pymacaron/pymacaron
pymacaron/auth.py
get_user_token
def get_user_token(): """Return the authenticated user's auth token""" if not hasattr(stack.top, 'current_user'): return '' current_user = stack.top.current_user return current_user.get('token', '')
python
def get_user_token(): """Return the authenticated user's auth token""" if not hasattr(stack.top, 'current_user'): return '' current_user = stack.top.current_user return current_user.get('token', '')
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Return the authenticated user's auth token
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train
https://github.com/pymacaron/pymacaron/blob/af244f203f8216108b39d374d46bf8e1813f13d5/pymacaron/auth.py#L249-L254
pymacaron/pymacaron
pymacaron/auth.py
get_token_issuer
def get_token_issuer(): """Return the issuer in which this user's token was created""" try: current_user = stack.top.current_user return current_user.get('iss', get_config().jwt_issuer) except Exception: pass return get_config().jwt_issuer
python
def get_token_issuer(): """Return the issuer in which this user's token was created""" try: current_user = stack.top.current_user return current_user.get('iss', get_config().jwt_issuer) except Exception: pass return get_config().jwt_issuer
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Return the issuer in which this user's token was created
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tristantao/py-ms-cognitive
py_ms_cognitive/py_ms_cognitive_search/py_ms_cognitive_news_search.py
PyMsCognitiveNewsSearch._search
def _search(self, limit, format): ''' Returns a list of result objects, with the url for the next page MsCognitive search url. ''' limit = min(limit, self.MAX_SEARCH_PER_QUERY) payload = { 'q' : self.query, 'count' : limit, #currently 50 is max per search. ...
python
def _search(self, limit, format): ''' Returns a list of result objects, with the url for the next page MsCognitive search url. ''' limit = min(limit, self.MAX_SEARCH_PER_QUERY) payload = { 'q' : self.query, 'count' : limit, #currently 50 is max per search. ...
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Returns a list of result objects, with the url for the next page MsCognitive search url.
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train
https://github.com/tristantao/py-ms-cognitive/blob/8f4b10df1b4bf1f2c9af64218cfcdc35176b75e7/py_ms_cognitive/py_ms_cognitive_search/py_ms_cognitive_news_search.py#L22-L41
openstack/python-monascaclient
monascaclient/v2_0/notifications.py
NotificationsManager.create
def create(self, **kwargs): """Create a notification.""" body = self.client.create(url=self.base_url, json=kwargs) return body
python
def create(self, **kwargs): """Create a notification.""" body = self.client.create(url=self.base_url, json=kwargs) return body
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Create a notification.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/notifications.py#L23-L27
openstack/python-monascaclient
monascaclient/v2_0/notifications.py
NotificationsManager.get
def get(self, **kwargs): """Get the details for a specific notification.""" # NOTE(trebskit) should actually be find_one, but # monasca does not support expected response format url = '%s/%s' % (self.base_url, kwargs['notification_id']) resp = self.client.list(path=url) ...
python
def get(self, **kwargs): """Get the details for a specific notification.""" # NOTE(trebskit) should actually be find_one, but # monasca does not support expected response format url = '%s/%s' % (self.base_url, kwargs['notification_id']) resp = self.client.list(path=url) ...
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Get the details for a specific notification.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/notifications.py#L29-L37
openstack/python-monascaclient
monascaclient/v2_0/notifications.py
NotificationsManager.delete
def delete(self, **kwargs): """Delete a notification.""" url = self.base_url + '/%s' % kwargs['notification_id'] resp = self.client.delete(url=url) return resp
python
def delete(self, **kwargs): """Delete a notification.""" url = self.base_url + '/%s' % kwargs['notification_id'] resp = self.client.delete(url=url) return resp
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Delete a notification.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/notifications.py#L43-L47
openstack/python-monascaclient
monascaclient/v2_0/alarm_definitions.py
AlarmDefinitionsManager.create
def create(self, **kwargs): """Create an alarm definition.""" resp = self.client.create(url=self.base_url, json=kwargs) return resp
python
def create(self, **kwargs): """Create an alarm definition.""" resp = self.client.create(url=self.base_url, json=kwargs) return resp
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Create an alarm definition.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/alarm_definitions.py#L23-L27
openstack/python-monascaclient
monascaclient/v2_0/alarm_definitions.py
AlarmDefinitionsManager.update
def update(self, **kwargs): """Update a specific alarm definition.""" url_str = self.base_url + '/%s' % kwargs['alarm_id'] del kwargs['alarm_id'] resp = self.client.create(url=url_str, method='PUT', json=kwargs) ...
python
def update(self, **kwargs): """Update a specific alarm definition.""" url_str = self.base_url + '/%s' % kwargs['alarm_id'] del kwargs['alarm_id'] resp = self.client.create(url=url_str, method='PUT', json=kwargs) ...
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Update a specific alarm definition.
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/v2_0/alarm_definitions.py#L49-L58
mdscruggs/ga
ga/examples/polynomials.py
PolyModelGA.compute_y
def compute_y(self, coefficients, num_x): """ Return calculated y-values for the domain of x-values in [1, num_x]. """ y_vals = [] for x in range(1, num_x + 1): y = sum([c * x ** i for i, c in enumerate(coefficients[::-1])]) y_vals.append(y) return y_vals
python
def compute_y(self, coefficients, num_x): """ Return calculated y-values for the domain of x-values in [1, num_x]. """ y_vals = [] for x in range(1, num_x + 1): y = sum([c * x ** i for i, c in enumerate(coefficients[::-1])]) y_vals.append(y) return y_vals
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Return calculated y-values for the domain of x-values in [1, num_x].
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train
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mdscruggs/ga
ga/examples/polynomials.py
PolyModelGA.compute_err
def compute_err(self, solution_y, coefficients): """ Return an error value by finding the absolute difference for each element in a list of solution-generated y-values versus expected values. Compounds error by 50% for each negative coefficient in the solution. solution_y: lis...
python
def compute_err(self, solution_y, coefficients): """ Return an error value by finding the absolute difference for each element in a list of solution-generated y-values versus expected values. Compounds error by 50% for each negative coefficient in the solution. solution_y: lis...
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Return an error value by finding the absolute difference for each element in a list of solution-generated y-values versus expected values. Compounds error by 50% for each negative coefficient in the solution. solution_y: list of y-values produced by a solution coefficients: list of p...
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train
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mdscruggs/ga
ga/examples/polynomials.py
PolyModelGA.eval_fitness
def eval_fitness(self, chromosome): """ Evaluate the polynomial equation using coefficients represented by a solution/chromosome, returning its error as the solution's fitness. return: fitness value """ coefficients = self.translator.translate_chromosome(chromosome) ...
python
def eval_fitness(self, chromosome): """ Evaluate the polynomial equation using coefficients represented by a solution/chromosome, returning its error as the solution's fitness. return: fitness value """ coefficients = self.translator.translate_chromosome(chromosome) ...
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Evaluate the polynomial equation using coefficients represented by a solution/chromosome, returning its error as the solution's fitness. return: fitness value
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train
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fabaff/python-mystrom
pymystrom/cli.py
read_config
def read_config(ip, mac): """Read the current configuration of a myStrom device.""" click.echo("Read configuration from %s" % ip) request = requests.get( 'http://{}/{}/{}/'.format(ip, URI, mac), timeout=TIMEOUT) print(request.json())
python
def read_config(ip, mac): """Read the current configuration of a myStrom device.""" click.echo("Read configuration from %s" % ip) request = requests.get( 'http://{}/{}/{}/'.format(ip, URI, mac), timeout=TIMEOUT) print(request.json())
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Read the current configuration of a myStrom device.
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train
https://github.com/fabaff/python-mystrom/blob/86410f8952104651ef76ad37c84c29740c50551e/pymystrom/cli.py#L35-L40
fabaff/python-mystrom
pymystrom/cli.py
write_config
def write_config(ip, mac, single, double, long, touch): """Write the current configuration of a myStrom button.""" click.echo("Write configuration to device %s" % ip) data = { 'single': single, 'double': double, 'long': long, 'touch': touch, } request = requests.post(...
python
def write_config(ip, mac, single, double, long, touch): """Write the current configuration of a myStrom button.""" click.echo("Write configuration to device %s" % ip) data = { 'single': single, 'double': double, 'long': long, 'touch': touch, } request = requests.post(...
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Write the current configuration of a myStrom button.
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train
https://github.com/fabaff/python-mystrom/blob/86410f8952104651ef76ad37c84c29740c50551e/pymystrom/cli.py#L61-L74
fabaff/python-mystrom
pymystrom/cli.py
write_ha_config
def write_ha_config(ip, mac, hass, port, id): """Write the configuration for Home Assistant to a myStrom button.""" click.echo("Write configuration for Home Assistant to device %s..." % ip) action = "get://{1}:{2}/api/mystrom?{0}={3}" data = { 'single': action.format('single', hass, port, id), ...
python
def write_ha_config(ip, mac, hass, port, id): """Write the configuration for Home Assistant to a myStrom button.""" click.echo("Write configuration for Home Assistant to device %s..." % ip) action = "get://{1}:{2}/api/mystrom?{0}={3}" data = { 'single': action.format('single', hass, port, id), ...
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Write the configuration for Home Assistant to a myStrom button.
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train
https://github.com/fabaff/python-mystrom/blob/86410f8952104651ef76ad37c84c29740c50551e/pymystrom/cli.py#L89-L106
fabaff/python-mystrom
pymystrom/cli.py
reset_config
def reset_config(ip, mac): """Reset the current configuration of a myStrom WiFi Button.""" click.echo("Reset configuration of button %s..." % ip) data = { 'single': "", 'double': "", 'long': "", 'touch': "", } request = requests.post( 'http://{}/{}/{}/'.format...
python
def reset_config(ip, mac): """Reset the current configuration of a myStrom WiFi Button.""" click.echo("Reset configuration of button %s..." % ip) data = { 'single': "", 'double': "", 'long': "", 'touch': "", } request = requests.post( 'http://{}/{}/{}/'.format...
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Reset the current configuration of a myStrom WiFi Button.
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train
https://github.com/fabaff/python-mystrom/blob/86410f8952104651ef76ad37c84c29740c50551e/pymystrom/cli.py#L114-L127
fabaff/python-mystrom
pymystrom/cli.py
color
def color(ip, mac, hue, saturation, value): """Switch the bulb on with the given color.""" bulb = MyStromBulb(ip, mac) bulb.set_color_hsv(hue, saturation, value)
python
def color(ip, mac, hue, saturation, value): """Switch the bulb on with the given color.""" bulb = MyStromBulb(ip, mac) bulb.set_color_hsv(hue, saturation, value)
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Switch the bulb on with the given color.
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train
https://github.com/fabaff/python-mystrom/blob/86410f8952104651ef76ad37c84c29740c50551e/pymystrom/cli.py#L157-L160
pymacaron/pymacaron
pymacaron/utils.py
is_ec2_instance
def is_ec2_instance(): """Try fetching instance metadata at 'curl http://169.254.169.254/latest/meta-data/' to see if host is on an ec2 instance""" # Note: this code assumes that docker containers running on ec2 instances # inherit instances metadata, which they do as of 2016-08-25 global IS_EC2_I...
python
def is_ec2_instance(): """Try fetching instance metadata at 'curl http://169.254.169.254/latest/meta-data/' to see if host is on an ec2 instance""" # Note: this code assumes that docker containers running on ec2 instances # inherit instances metadata, which they do as of 2016-08-25 global IS_EC2_I...
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Try fetching instance metadata at 'curl http://169.254.169.254/latest/meta-data/' to see if host is on an ec2 instance
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pymacaron/pymacaron
pymacaron/utils.py
to_epoch
def to_epoch(t): """Take a datetime, either as a string or a datetime.datetime object, and return the corresponding epoch""" if isinstance(t, str): if '+' not in t: t = t + '+00:00' t = parser.parse(t) elif t.tzinfo is None or t.tzinfo.utcoffset(t) is None: t = t.repl...
python
def to_epoch(t): """Take a datetime, either as a string or a datetime.datetime object, and return the corresponding epoch""" if isinstance(t, str): if '+' not in t: t = t + '+00:00' t = parser.parse(t) elif t.tzinfo is None or t.tzinfo.utcoffset(t) is None: t = t.repl...
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https://github.com/pymacaron/pymacaron/blob/af244f203f8216108b39d374d46bf8e1813f13d5/pymacaron/utils.py#L48-L60
pymacaron/pymacaron
pymacaron/utils.py
get_container_version
def get_container_version(): """Return the version of the docker container running the present server, or '' if not in a container""" root_dir = os.path.dirname(os.path.realpath(sys.argv[0])) version_file = os.path.join(root_dir, 'VERSION') if os.path.exists(version_file): with open(version_...
python
def get_container_version(): """Return the version of the docker container running the present server, or '' if not in a container""" root_dir = os.path.dirname(os.path.realpath(sys.argv[0])) version_file = os.path.join(root_dir, 'VERSION') if os.path.exists(version_file): with open(version_...
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Return the version of the docker container running the present server, or '' if not in a container
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https://github.com/pymacaron/pymacaron/blob/af244f203f8216108b39d374d46bf8e1813f13d5/pymacaron/utils.py#L68-L76
pymacaron/pymacaron
pymacaron/utils.py
get_app_name
def get_app_name(): """Return a generic name for this app, usefull when reporting to monitoring/logging frameworks""" conf = get_config() if is_ec2_instance(): return conf.app_name_live if hasattr(conf, 'app_name_live') else 'PYMACARON_LIVE' else: return conf.app_name_dev if hasattr(conf...
python
def get_app_name(): """Return a generic name for this app, usefull when reporting to monitoring/logging frameworks""" conf = get_config() if is_ec2_instance(): return conf.app_name_live if hasattr(conf, 'app_name_live') else 'PYMACARON_LIVE' else: return conf.app_name_dev if hasattr(conf...
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Return a generic name for this app, usefull when reporting to monitoring/logging frameworks
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https://github.com/pymacaron/pymacaron/blob/af244f203f8216108b39d374d46bf8e1813f13d5/pymacaron/utils.py#L79-L85
mdscruggs/ga
ga/examples/__init__.py
run_all
def run_all(plot=True, seed=None): """ Run all examples. """ if seed is not None: import random random.seed(seed) print("Running biggest_multiple.py") biggest_multiple.run(plot=plot) print("Running polynomials.py") polynomials.run(plot=plot) print("Running travelling_sales...
python
def run_all(plot=True, seed=None): """ Run all examples. """ if seed is not None: import random random.seed(seed) print("Running biggest_multiple.py") biggest_multiple.run(plot=plot) print("Running polynomials.py") polynomials.run(plot=plot) print("Running travelling_sales...
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Run all examples.
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train
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mdscruggs/ga
ga/genes.py
BaseGene.create_random
def create_random(cls, length, **kwargs): """ Return a new instance of this gene class with random DNA, with characters chosen from ``GENETIC_MATERIAL_OPTIONS``. length: the number of characters in the randomized DNA **kwargs: forwarded to the ``cls`` constructor ...
python
def create_random(cls, length, **kwargs): """ Return a new instance of this gene class with random DNA, with characters chosen from ``GENETIC_MATERIAL_OPTIONS``. length: the number of characters in the randomized DNA **kwargs: forwarded to the ``cls`` constructor ...
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mdscruggs/ga
ga/genes.py
BaseGene.mutate
def mutate(self, p_mutate): """ Simulate mutation against a probability. p_mutate: probability for mutation to occur """ new_dna = [] for bit in self.dna: if random.random() < p_mutate: new_bit = bit while new_bit ==...
python
def mutate(self, p_mutate): """ Simulate mutation against a probability. p_mutate: probability for mutation to occur """ new_dna = [] for bit in self.dna: if random.random() < p_mutate: new_bit = bit while new_bit ==...
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train
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mdscruggs/ga
ga/genes.py
BaseGene.copy
def copy(self): """ Return a new instance of this gene with the same DNA. """ return type(self)(self.dna, suppressed=self.suppressed, name=self.name)
python
def copy(self): """ Return a new instance of this gene with the same DNA. """ return type(self)(self.dna, suppressed=self.suppressed, name=self.name)
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mdscruggs/ga
ga/genes.py
BaseGene._check_dna
def _check_dna(self, dna): """ Check that a DNA string only contains characters in ``GENETIC_MATERIAL_OPTIONS``. """ valid_chars = set(self.GENETIC_MATERIAL_OPTIONS) assert all(char in valid_chars for char in dna)
python
def _check_dna(self, dna): """ Check that a DNA string only contains characters in ``GENETIC_MATERIAL_OPTIONS``. """ valid_chars = set(self.GENETIC_MATERIAL_OPTIONS) assert all(char in valid_chars for char in dna)
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train
https://github.com/mdscruggs/ga/blob/adac7a004e5e22d888e44ab39f313064c3803b38/ga/genes.py#L85-L88
mdscruggs/ga
ga/genes.py
BinaryGene.mutate
def mutate(self, p_mutate): """ Check each element for mutation, swapping "0" for "1" and vice-versa. """ new_dna = [] for bit in self.dna: if random.random() < p_mutate: bit = '1' if bit == '0' else '0' new_dna.ap...
python
def mutate(self, p_mutate): """ Check each element for mutation, swapping "0" for "1" and vice-versa. """ new_dna = [] for bit in self.dna: if random.random() < p_mutate: bit = '1' if bit == '0' else '0' new_dna.ap...
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Check each element for mutation, swapping "0" for "1" and vice-versa.
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train
https://github.com/mdscruggs/ga/blob/adac7a004e5e22d888e44ab39f313064c3803b38/ga/genes.py#L104-L116
castle/castle-python
castle/utils.py
deep_merge
def deep_merge(base, extra): """ Deeply merge two dictionaries, overriding existing keys in the base. :param base: The base dictionary which will be merged into. :param extra: The dictionary to merge into the base. Keys from this dictionary will take precedence. """ if extra is None: ...
python
def deep_merge(base, extra): """ Deeply merge two dictionaries, overriding existing keys in the base. :param base: The base dictionary which will be merged into. :param extra: The dictionary to merge into the base. Keys from this dictionary will take precedence. """ if extra is None: ...
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https://github.com/castle/castle-python/blob/5f8736932e4b6ecdb712885eef393b6c0c53cfeb/castle/utils.py#L9-L29
openstack/python-monascaclient
monascaclient/osc/migration.py
make_client
def make_client(api_version, session=None, endpoint=None, service_type='monitoring'): """Returns an monitoring API client.""" client_cls = utils.get_client_class('monitoring', api_version, VERSION_MAP) c = client_cls( session=session, service_type=service_type, endpo...
python
def make_client(api_version, session=None, endpoint=None, service_type='monitoring'): """Returns an monitoring API client.""" client_cls = utils.get_client_class('monitoring', api_version, VERSION_MAP) c = client_cls( session=session, service_type=service_type, endpo...
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https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/osc/migration.py#L34-L47
openstack/python-monascaclient
monascaclient/osc/migration.py
create_command_class
def create_command_class(name, func_module): """Dynamically creates subclass of MigratingCommand. Method takes name of the function, module it is part of and builds the subclass of :py:class:`MigratingCommand`. Having a subclass of :py:class:`cliff.command.Command` is mandatory for the osc-lib inte...
python
def create_command_class(name, func_module): """Dynamically creates subclass of MigratingCommand. Method takes name of the function, module it is part of and builds the subclass of :py:class:`MigratingCommand`. Having a subclass of :py:class:`cliff.command.Command` is mandatory for the osc-lib inte...
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train
https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/osc/migration.py#L50-L85
openstack/python-monascaclient
monascaclient/client.py
_session
def _session(kwargs): """Returns or reuses session. Method takes care of providing instance of session object for the client. :param kwargs: all params (without api_version) client was initialized with :type kwargs: dict :returns: session object :rtype keystoneauth1.session.Session "...
python
def _session(kwargs): """Returns or reuses session. Method takes care of providing instance of session object for the client. :param kwargs: all params (without api_version) client was initialized with :type kwargs: dict :returns: session object :rtype keystoneauth1.session.Session "...
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Returns or reuses session. Method takes care of providing instance of session object for the client. :param kwargs: all params (without api_version) client was initialized with :type kwargs: dict :returns: session object :rtype keystoneauth1.session.Session
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https://github.com/openstack/python-monascaclient/blob/03b07534145928eb2debad938da033c232dda105/monascaclient/client.py#L45-L69
uchicago-cs/deepdish
deepdish/util/saveable.py
Saveable.load
def load(cls, path): """ Loads an instance of the class from a file. Parameters ---------- path : str Path to an HDF5 file. Examples -------- This is an abstract data type, but let us say that ``Foo`` inherits from ``Saveable``. To co...
python
def load(cls, path): """ Loads an instance of the class from a file. Parameters ---------- path : str Path to an HDF5 file. Examples -------- This is an abstract data type, but let us say that ``Foo`` inherits from ``Saveable``. To co...
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train
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uchicago-cs/deepdish
deepdish/util/saveable.py
NamedRegistry.register
def register(cls, name): """Decorator to register a class.""" def register_decorator(reg_cls): def name_func(self): return name reg_cls.name = property(name_func) assert issubclass(reg_cls, cls), \ "Must be subclass matching your NamedR...
python
def register(cls, name): """Decorator to register a class.""" def register_decorator(reg_cls): def name_func(self): return name reg_cls.name = property(name_func) assert issubclass(reg_cls, cls), \ "Must be subclass matching your NamedR...
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Decorator to register a class.
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train
https://github.com/uchicago-cs/deepdish/blob/01af93621fe082a3972fe53ba7375388c02b0085/deepdish/util/saveable.py#L104-L114
uchicago-cs/deepdish
deepdish/util/saveable.py
NamedRegistry.construct
def construct(cls, name, *args, **kwargs): """ Constructs an instance of an object given its name. """ return cls.REGISTRY[name](*args, **kwargs)
python
def construct(cls, name, *args, **kwargs): """ Constructs an instance of an object given its name. """ return cls.REGISTRY[name](*args, **kwargs)
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uchicago-cs/deepdish
deepdish/conf.py
config
def config(): """ Loads and returns a ConfigParser from ``~/.deepdish.conf``. """ conf = ConfigParser() # Set up defaults conf.add_section('io') conf.set('io', 'compression', 'zlib') conf.read(os.path.expanduser('~/.deepdish.conf')) return conf
python
def config(): """ Loads and returns a ConfigParser from ``~/.deepdish.conf``. """ conf = ConfigParser() # Set up defaults conf.add_section('io') conf.set('io', 'compression', 'zlib') conf.read(os.path.expanduser('~/.deepdish.conf')) return conf
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Loads and returns a ConfigParser from ``~/.deepdish.conf``.
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uchicago-cs/deepdish
deepdish/image.py
resize_by_factor
def resize_by_factor(im, factor): """ Resizes the image according to a factor. The image is pre-filtered with a Gaussian and then resampled with bilinear interpolation. This function uses scikit-image and essentially combines its `pyramid_reduce` with `pyramid_expand` into one function. Return...
python
def resize_by_factor(im, factor): """ Resizes the image according to a factor. The image is pre-filtered with a Gaussian and then resampled with bilinear interpolation. This function uses scikit-image and essentially combines its `pyramid_reduce` with `pyramid_expand` into one function. Return...
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Resizes the image according to a factor. The image is pre-filtered with a Gaussian and then resampled with bilinear interpolation. This function uses scikit-image and essentially combines its `pyramid_reduce` with `pyramid_expand` into one function. Returns the same object if factor is 1, not a copy. ...
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train
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uchicago-cs/deepdish
deepdish/image.py
asgray
def asgray(im): """ Takes an image and returns its grayscale version by averaging the color channels. if an alpha channel is present, it will simply be ignored. If a grayscale image is given, the original image is returned. Parameters ---------- image : ndarray, ndim 2 or 3 RGB or ...
python
def asgray(im): """ Takes an image and returns its grayscale version by averaging the color channels. if an alpha channel is present, it will simply be ignored. If a grayscale image is given, the original image is returned. Parameters ---------- image : ndarray, ndim 2 or 3 RGB or ...
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uchicago-cs/deepdish
deepdish/image.py
crop
def crop(im, size): """ Crops an image in the center. Parameters ---------- size : tuple, (height, width) Finally size after cropping. """ diff = [im.shape[index] - size[index] for index in (0, 1)] im2 = im[diff[0]//2:diff[0]//2 + size[0], diff[1]//2:diff[1]//2 + size[1]] re...
python
def crop(im, size): """ Crops an image in the center. Parameters ---------- size : tuple, (height, width) Finally size after cropping. """ diff = [im.shape[index] - size[index] for index in (0, 1)] im2 = im[diff[0]//2:diff[0]//2 + size[0], diff[1]//2:diff[1]//2 + size[1]] re...
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uchicago-cs/deepdish
deepdish/image.py
crop_or_pad
def crop_or_pad(im, size, value=0): """ Crops an image in the center. Parameters ---------- size : tuple, (height, width) Finally size after cropping. """ diff = [im.shape[index] - size[index] for index in (0, 1)] im2 = im[diff[0]//2:diff[0]//2 + size[0], diff[1]//2:diff[1]//2 +...
python
def crop_or_pad(im, size, value=0): """ Crops an image in the center. Parameters ---------- size : tuple, (height, width) Finally size after cropping. """ diff = [im.shape[index] - size[index] for index in (0, 1)] im2 = im[diff[0]//2:diff[0]//2 + size[0], diff[1]//2:diff[1]//2 +...
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Crops an image in the center. Parameters ---------- size : tuple, (height, width) Finally size after cropping.
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uchicago-cs/deepdish
deepdish/image.py
load
def load(path, dtype=np.float64): """ Loads an image from file. Parameters ---------- path : str Path to image file. dtype : np.dtype Defaults to ``np.float64``, which means the image will be returned as a float with values between 0 and 1. If ``np.uint8`` is specified, ...
python
def load(path, dtype=np.float64): """ Loads an image from file. Parameters ---------- path : str Path to image file. dtype : np.dtype Defaults to ``np.float64``, which means the image will be returned as a float with values between 0 and 1. If ``np.uint8`` is specified, ...
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Loads an image from file. Parameters ---------- path : str Path to image file. dtype : np.dtype Defaults to ``np.float64``, which means the image will be returned as a float with values between 0 and 1. If ``np.uint8`` is specified, the values will be between 0 and 255 a...
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train
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uchicago-cs/deepdish
deepdish/image.py
load_raw
def load_raw(path): """ Load image using PIL/Pillow without any processing. This is particularly useful for palette images, which will be loaded using their palette index values as opposed to `load` which will convert them to RGB. Parameters ---------- path : str Path to image file....
python
def load_raw(path): """ Load image using PIL/Pillow without any processing. This is particularly useful for palette images, which will be loaded using their palette index values as opposed to `load` which will convert them to RGB. Parameters ---------- path : str Path to image file....
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uchicago-cs/deepdish
deepdish/image.py
save
def save(path, im): """ Saves an image to file. If the image is type float, it will assume to have values in [0, 1]. Parameters ---------- path : str Path to which the image will be saved. im : ndarray (image) Image. """ from PIL import Image if im.dtype == np.u...
python
def save(path, im): """ Saves an image to file. If the image is type float, it will assume to have values in [0, 1]. Parameters ---------- path : str Path to which the image will be saved. im : ndarray (image) Image. """ from PIL import Image if im.dtype == np.u...
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Saves an image to file. If the image is type float, it will assume to have values in [0, 1]. Parameters ---------- path : str Path to which the image will be saved. im : ndarray (image) Image.
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train
https://github.com/uchicago-cs/deepdish/blob/01af93621fe082a3972fe53ba7375388c02b0085/deepdish/image.py#L176-L194
uchicago-cs/deepdish
deepdish/image.py
integrate
def integrate(ii, r0, c0, r1, c1): """ Use an integral image to integrate over a given window. Parameters ---------- ii : ndarray Integral image. r0, c0 : int Top-left corner of block to be summed. r1, c1 : int Bottom-right corner of block to be summed. Returns ...
python
def integrate(ii, r0, c0, r1, c1): """ Use an integral image to integrate over a given window. Parameters ---------- ii : ndarray Integral image. r0, c0 : int Top-left corner of block to be summed. r1, c1 : int Bottom-right corner of block to be summed. Returns ...
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Use an integral image to integrate over a given window. Parameters ---------- ii : ndarray Integral image. r0, c0 : int Top-left corner of block to be summed. r1, c1 : int Bottom-right corner of block to be summed. Returns ------- S : int Integral (sum) ...
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uchicago-cs/deepdish
deepdish/image.py
offset
def offset(img, offset, fill_value=0): """ Moves the contents of image without changing the image size. The missing values are given a specified fill value. Parameters ---------- img : array Image. offset : (vertical_offset, horizontal_offset) Tuple of length 2, specifying t...
python
def offset(img, offset, fill_value=0): """ Moves the contents of image without changing the image size. The missing values are given a specified fill value. Parameters ---------- img : array Image. offset : (vertical_offset, horizontal_offset) Tuple of length 2, specifying t...
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uchicago-cs/deepdish
deepdish/image.py
bounding_box
def bounding_box(alpha, threshold=0.1): """ Returns a bounding box of the support. Parameters ---------- alpha : ndarray, ndim=2 Any one-channel image where the background has zero or low intensity. threshold : float The threshold that divides background from foreground. Re...
python
def bounding_box(alpha, threshold=0.1): """ Returns a bounding box of the support. Parameters ---------- alpha : ndarray, ndim=2 Any one-channel image where the background has zero or low intensity. threshold : float The threshold that divides background from foreground. Re...
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uchicago-cs/deepdish
deepdish/image.py
bounding_box_as_binary_map
def bounding_box_as_binary_map(alpha, threshold=0.1): """ Similar to `bounding_box`, except returns the bounding box as a binary map the same size as the input. Same parameters as `bounding_box`. Returns ------- binary_map : ndarray, ndim=2, dtype=np.bool_ Binary map with True if o...
python
def bounding_box_as_binary_map(alpha, threshold=0.1): """ Similar to `bounding_box`, except returns the bounding box as a binary map the same size as the input. Same parameters as `bounding_box`. Returns ------- binary_map : ndarray, ndim=2, dtype=np.bool_ Binary map with True if o...
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Similar to `bounding_box`, except returns the bounding box as a binary map the same size as the input. Same parameters as `bounding_box`. Returns ------- binary_map : ndarray, ndim=2, dtype=np.bool_ Binary map with True if object and False if background.
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https://github.com/uchicago-cs/deepdish/blob/01af93621fe082a3972fe53ba7375388c02b0085/deepdish/image.py#L289-L305
uchicago-cs/deepdish
deepdish/image.py
extract_patches
def extract_patches(images, patch_shape, samples_per_image=40, seed=0, cycle=True): """ Takes a set of images and yields randomly chosen patches of specified size. Parameters ---------- images : iterable The images have to be iterable, and each element must be a Numpy ar...
python
def extract_patches(images, patch_shape, samples_per_image=40, seed=0, cycle=True): """ Takes a set of images and yields randomly chosen patches of specified size. Parameters ---------- images : iterable The images have to be iterable, and each element must be a Numpy ar...
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Takes a set of images and yields randomly chosen patches of specified size. Parameters ---------- images : iterable The images have to be iterable, and each element must be a Numpy array with at least two spatial 2 dimensions as the first and second axis. patch_shape : tuple, length 2 ...
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train
https://github.com/uchicago-cs/deepdish/blob/01af93621fe082a3972fe53ba7375388c02b0085/deepdish/image.py#L308-L366