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datacats/datacats | datacats/environment.py | Environment.interactive_shell | def interactive_shell(self, command=None, paster=False, detach=False):
"""
launch interactive shell session with all writable volumes
:param: list of strings to execute instead of bash
"""
if not exists(self.target + '/.bash_profile'):
# this file is required for act... | python | def interactive_shell(self, command=None, paster=False, detach=False):
"""
launch interactive shell session with all writable volumes
:param: list of strings to execute instead of bash
"""
if not exists(self.target + '/.bash_profile'):
# this file is required for act... | [
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datacats/datacats | datacats/environment.py | Environment.install_package_requirements | def install_package_requirements(self, psrc, stream_output=None):
"""
Install from requirements.txt file found in psrc
:param psrc: name of directory in environment directory
"""
package = self.target + '/' + psrc
assert isdir(package), package
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"""
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:param psrc: name of directory in environment directory
"""
package = self.target + '/' + psrc
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datacats/datacats | datacats/environment.py | Environment.purge_data | def purge_data(self, which_sites=None, never_delete=False):
"""
Remove uploaded files, postgres db, solr index, venv
"""
# Default to the set of all sites
if not exists(self.datadir + '/.version'):
format_version = 1
else:
with open(self.datadir + ... | python | def purge_data(self, which_sites=None, never_delete=False):
"""
Remove uploaded files, postgres db, solr index, venv
"""
# Default to the set of all sites
if not exists(self.datadir + '/.version'):
format_version = 1
else:
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datacats/datacats | datacats/environment.py | Environment.logs | def logs(self, container, tail='all', follow=False, timestamps=False):
"""
:param container: 'web', 'solr' or 'postgres'
:param tail: number of lines to show
:param follow: True to return generator instead of list
:param timestamps: True to include timestamps
"""
... | python | def logs(self, container, tail='all', follow=False, timestamps=False):
"""
:param container: 'web', 'solr' or 'postgres'
:param tail: number of lines to show
:param follow: True to return generator instead of list
:param timestamps: True to include timestamps
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datacats/datacats | datacats/environment.py | Environment._proxy_settings | def _proxy_settings(self):
"""
Create/replace ~/.datacats/run/proxy-environment and return
entry for ro mount for containers
"""
if not ('https_proxy' in environ or 'HTTPS_PROXY' in environ
or 'http_proxy' in environ or 'HTTP_PROXY' in environ):
return... | python | def _proxy_settings(self):
"""
Create/replace ~/.datacats/run/proxy-environment and return
entry for ro mount for containers
"""
if not ('https_proxy' in environ or 'HTTPS_PROXY' in environ
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datacats/datacats | datacats/environment.py | Environment._get_container_name | def _get_container_name(self, container_type):
"""
Gets the full name of a container of the type specified.
Currently the supported types are:
- 'venv'
- 'postgres'
- 'solr'
- 'web'
- 'pgdata'
- 'lessc'
- 'datapu... | python | def _get_container_name(self, container_type):
"""
Gets the full name of a container of the type specified.
Currently the supported types are:
- 'venv'
- 'postgres'
- 'solr'
- 'web'
- 'pgdata'
- 'lessc'
- 'datapu... | [
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datacats/datacats | datacats/cli/less.py | less | def less(environment, opts):
# pylint: disable=unused-argument
"""Recompiles less files in an environment.
Usage:
datacats less [ENVIRONMENT]
ENVIRONMENT may be an environment name or a path to an environment directory.
Default: '.'
"""
require_extra_image(LESSC_IMAGE)
print 'Converting .less files... | python | def less(environment, opts):
# pylint: disable=unused-argument
"""Recompiles less files in an environment.
Usage:
datacats less [ENVIRONMENT]
ENVIRONMENT may be an environment name or a path to an environment directory.
Default: '.'
"""
require_extra_image(LESSC_IMAGE)
print 'Converting .less files... | [
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Britefury/batchup | batchup/datasets/dataset.py | fetch_and_convert_dataset | def fetch_and_convert_dataset(source_files, target_filename):
"""
Decorator applied to a dataset conversion function that converts acquired
source files into a dataset file that BatchUp can use.
Parameters
----------
source_file: list of `AbstractSourceFile` instances
A list of files to... | python | def fetch_and_convert_dataset(source_files, target_filename):
"""
Decorator applied to a dataset conversion function that converts acquired
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Parameters
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source_file: list of `AbstractSourceFile` instances
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Britefury/batchup | batchup/datasets/dataset.py | delete_dataset_cache | def delete_dataset_cache(*filenames):
"""
Delete the cache (converted files) for a dataset.
Parameters
----------
filenames: str
Filenames of files to delete
"""
for filename in filenames:
filename = path_string(filename)
path = config.get_data_path(filename)
... | python | def delete_dataset_cache(*filenames):
"""
Delete the cache (converted files) for a dataset.
Parameters
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filenames: str
Filenames of files to delete
"""
for filename in filenames:
filename = path_string(filename)
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Britefury/batchup | batchup/datasets/dataset.py | DownloadSourceFile.acquire | def acquire(self, **kwargs):
"""
Download the file and return its path
Returns
-------
str or None
The path of the file in BatchUp's temporary directory or None if
the download failed.
"""
return config.download_data(self.temp_filename, se... | python | def acquire(self, **kwargs):
"""
Download the file and return its path
Returns
-------
str or None
The path of the file in BatchUp's temporary directory or None if
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"""
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Britefury/batchup | batchup/datasets/dataset.py | CopySourceFile.acquire | def acquire(self, **kwargs):
"""
Copy the file and return its path
Returns
-------
str or None
The path of the file in BatchUp's temporary directory or None if
the copy failed.
"""
if self.source_path is None:
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"""
Copy the file and return its path
Returns
-------
str or None
The path of the file in BatchUp's temporary directory or None if
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Britefury/batchup | batchup/datasets/dataset.py | ExistingSourceFile.acquire | def acquire(self, **kwargs):
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Copy the file and return its path
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-------
str or None
The path of the file or None if it does not exist or if
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"""
path = path_string(self.path)
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str or None
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datacats/datacats | datacats/cli/pull.py | _retry_func | def _retry_func(func, param, num, retry_notif, error_msg):
"""
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:param func: The function to retry num times.
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Britefury/batchup | batchup/work_pool.py | WorkStream.retrieve | def retrieve(self):
"""
Retrieve a result from executing a task. Note that tasks are executed
in order and that if the next task has not yet completed, this call
will block until the result is available.
Returns
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"""
Retrieve a result from executing a task. Note that tasks are executed
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datacats/datacats | datacats/cli/install.py | install | def install(environment, opts):
"""Install or reinstall Python packages within this environment
Usage:
datacats install [-q] [--address=IP] [ENVIRONMENT [PACKAGE ...]]
datacats install -c [q] [--address=IP] [ENVIRONMENT]
Options:
--address=IP The address to bind to when reloading after install
-c... | python | def install(environment, opts):
"""Install or reinstall Python packages within this environment
Usage:
datacats install [-q] [--address=IP] [ENVIRONMENT [PACKAGE ...]]
datacats install -c [q] [--address=IP] [ENVIRONMENT]
Options:
--address=IP The address to bind to when reloading after install
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datacats/datacats | datacats/cli/migrate.py | migrate | def migrate(opts):
"""Migrate an environment to a given revision of the datadir format.
Usage:
datacats migrate [-y] [-r VERSION] [ENVIRONMENT_DIR]
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-r --revision=VERSION The version of the datadir format you want
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"""Migrate an environment to a given revision of the datadir format.
Usage:
datacats migrate [-y] [-r VERSION] [ENVIRONMENT_DIR]
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Britefury/batchup | batchup/data_source.py | _trim_batch | def _trim_batch(batch, length):
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Britefury/batchup | batchup/data_source.py | coerce_data_source | def coerce_data_source(x):
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Helper function to coerce an object into a data source, selecting the
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Britefury/batchup | batchup/data_source.py | RandomAccessDataSource.samples_by_indices | def samples_by_indices(self, indices):
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Britefury/batchup | batchup/data_source.py | RandomAccessDataSource.batch_indices_iterator | def batch_indices_iterator(self, batch_size, shuffle=None, **kwargs):
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Britefury/batchup | batchup/data_source.py | ArrayDataSource.samples_by_indices_nomapping | def samples_by_indices_nomapping(self, indices):
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Britefury/batchup | batchup/data_source.py | CallableDataSource.num_samples | def num_samples(self, **kwargs):
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Britefury/batchup | batchup/data_source.py | CompositeDataSource.batch_indices_iterator | def batch_indices_iterator(self, batch_size, **kwargs):
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Parameters
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Britefury/batchup | batchup/data_source.py | MapDataSource.samples_by_indices_nomapping | def samples_by_indices_nomapping(self, indices):
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datacats/datacats | datacats/cli/purge.py | purge | def purge(opts):
"""Purge environment database and uploaded files
Usage:
datacats purge [-s NAME | --delete-environment] [-y] [ENVIRONMENT]
Options:
--delete-environment Delete environment directory as well as its data, as
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"""Purge environment database and uploaded files
Usage:
datacats purge [-s NAME | --delete-environment] [-y] [ENVIRONMENT]
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datacats/datacats | datacats/error.py | DatacatsError.pretty_print | def pretty_print(self):
"""
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"""
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print colored.red("datacats: problem was encountered:")
print self.message
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"""
Print the error message to stdout with colors and borders
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print colored.blue("-" * 40)
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datacats/datacats | datacats/password.py | generate_password | def generate_password():
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Return a 16-character alphanumeric random string generated by the
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"""
chars = uppercase + lowercase + digits
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"""
Return a 16-character alphanumeric random string generated by the
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"""
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datacats/datacats | datacats/docker.py | run_container | def run_container(name, image, command=None, environment=None,
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datacats/datacats | datacats/docker.py | remove_container | def remove_container(name, force=False):
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datacats/datacats | datacats/docker.py | container_logs | def container_logs(name, tail, follow, timestamps):
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:param name: The container name to grab logs for
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"""
Returns a string representation of the logs from a container.
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datacats/datacats | datacats/docker.py | pull_stream | def pull_stream(image):
"""
Return generator of pull status objects
"""
return (json.loads(s) for s in _get_docker().pull(image, stream=True)) | python | def pull_stream(image):
"""
Return generator of pull status objects
"""
return (json.loads(s) for s in _get_docker().pull(image, stream=True)) | [
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datacats/datacats | datacats/docker.py | data_only_container | def data_only_container(name, volumes):
"""
create "data-only container" if it doesn't already exist.
We'd like to avoid these, but postgres + boot2docker make
it difficult, see issue #5
"""
info = inspect_container(name)
if info:
return
c = _get_docker().create_container(
... | python | def data_only_container(name, volumes):
"""
create "data-only container" if it doesn't already exist.
We'd like to avoid these, but postgres + boot2docker make
it difficult, see issue #5
"""
info = inspect_container(name)
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datacats/datacats | datacats/cli/main.py | main | def main():
"""
The main entry point for datacats cli tool
(as defined in setup.py's entry_points)
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and runs the corresponding command
"""
# pylint: disable=bare-except
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command_fn, opts = _parse_arguments(sys.argv[1:])
... | python | def main():
"""
The main entry point for datacats cli tool
(as defined in setup.py's entry_points)
It parses the cli arguments for corresponding options
and runs the corresponding command
"""
# pylint: disable=bare-except
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"""
Return (subcommand, (possibly adjusted) arguments for that subcommand)
Returns (None, args) when no subcommand is found
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datacats/datacats | datacats/cli/manage.py | start | def start(environment, opts):
"""Create containers and start serving environment
Usage:
datacats start [-b] [--site-url SITE_URL] [-p|--no-watch] [-s NAME]
[-i] [--syslog] [--address=IP] [ENVIRONMENT [PORT]]
datacats start -r [-b] [--site-url SITE_URL] [-s NAME] [--syslog]
[-i... | python | def start(environment, opts):
"""Create containers and start serving environment
Usage:
datacats start [-b] [--site-url SITE_URL] [-p|--no-watch] [-s NAME]
[-i] [--syslog] [--address=IP] [ENVIRONMENT [PORT]]
datacats start -r [-b] [--site-url SITE_URL] [-s NAME] [--syslog]
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datacats/datacats | datacats/cli/manage.py | reload_ | def reload_(environment, opts):
"""Reload environment source and configuration
Usage:
datacats reload [-b] [-p|--no-watch] [--syslog] [-s NAME] [--site-url=SITE_URL]
[-i] [--address=IP] [ENVIRONMENT [PORT]]
datacats reload -r [-b] [--syslog] [-s NAME] [--address=IP] [--site-url=SITE... | python | def reload_(environment, opts):
"""Reload environment source and configuration
Usage:
datacats reload [-b] [-p|--no-watch] [--syslog] [-s NAME] [--site-url=SITE_URL]
[-i] [--address=IP] [ENVIRONMENT [PORT]]
datacats reload -r [-b] [--syslog] [-s NAME] [--address=IP] [--site-url=SITE... | [
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[-i] [--address=IP] [ENVIRONMENT [PORT]]
datacats reload -r [-b] [--syslog] [-s NAME] [--address=IP] [--site-url=SITE_URL]
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datacats/datacats | datacats/cli/manage.py | info | def info(environment, opts):
"""Display information about environment and running containers
Usage:
datacats info [-qr] [ENVIRONMENT]
Options:
-q --quiet Echo only the web URL or nothing if not running
ENVIRONMENT may be an environment name or a path to an environment directory.
Default: '.'
"""
... | python | def info(environment, opts):
"""Display information about environment and running containers
Usage:
datacats info [-qr] [ENVIRONMENT]
Options:
-q --quiet Echo only the web URL or nothing if not running
ENVIRONMENT may be an environment name or a path to an environment directory.
Default: '.'
"""
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datacats/datacats | datacats/cli/manage.py | logs | def logs(environment, opts):
"""Display or follow container logs
Usage:
datacats logs [--postgres | --solr | --datapusher] [-s NAME] [-tr] [--tail=LINES] [ENVIRONMENT]
datacats logs -f [--postgres | --solr | --datapusher] [-s NAME] [-r] [ENVIRONMENT]
Options:
--datapusher Show logs for datapusher inst... | python | def logs(environment, opts):
"""Display or follow container logs
Usage:
datacats logs [--postgres | --solr | --datapusher] [-s NAME] [-tr] [--tail=LINES] [ENVIRONMENT]
datacats logs -f [--postgres | --solr | --datapusher] [-s NAME] [-r] [ENVIRONMENT]
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datacats logs -f [--postgres | --solr | --datapusher] [-s NAME] [-r] [ENVIRONMENT]
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datacats/datacats | datacats/cli/manage.py | open_ | def open_(environment, opts):
# pylint: disable=unused-argument
"""Open web browser window to this environment
Usage:
datacats open [-r] [-s NAME] [ENVIRONMENT]
Options:
-s --site=NAME Choose a site to open [default: primary]
ENVIRONMENT may be an environment name or a path to an environment director... | python | def open_(environment, opts):
# pylint: disable=unused-argument
"""Open web browser window to this environment
Usage:
datacats open [-r] [-s NAME] [ENVIRONMENT]
Options:
-s --site=NAME Choose a site to open [default: primary]
ENVIRONMENT may be an environment name or a path to an environment director... | [
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datacats open [-r] [-s NAME] [ENVIRONMENT]
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datacats/datacats | datacats/cli/manage.py | tweak | def tweak(environment, opts):
"""Commands operating on environment data
Usage:
datacats tweak --install-postgis [ENVIRONMENT]
datacats tweak --add-redis [ENVIRONMENT]
datacats tweak --admin-password [ENVIRONMENT]
Options:
--install-postgis Install postgis in ckan database
--add-redis Adds re... | python | def tweak(environment, opts):
"""Commands operating on environment data
Usage:
datacats tweak --install-postgis [ENVIRONMENT]
datacats tweak --add-redis [ENVIRONMENT]
datacats tweak --admin-password [ENVIRONMENT]
Options:
--install-postgis Install postgis in ckan database
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datacats/datacats | datacats/migrate.py | _split_path | def _split_path(path):
"""
A wrapper around the normal split function that ignores any trailing /.
:return: A tuple of the form (dirname, last) where last is the last element
in the path.
"""
# Get around a quirk in path_split where a / at the end will make the
# dirname (split[0])... | python | def _split_path(path):
"""
A wrapper around the normal split function that ignores any trailing /.
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in the path.
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datacats/datacats | datacats/migrate.py | _one_to_two | def _one_to_two(datadir):
"""After this command, your environment will be converted to format version {}.
and will only work with datacats version exceeding and including 1.0.0.
This migration is necessary to support multiple sites within the same environment.
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"""After this command, your environment will be converted to format version {}.
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datacats/datacats | datacats/migrate.py | _two_to_one | def _two_to_one(datadir):
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"""After this command, your environment will be converted to format version {}
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datacats/datacats | datacats/migrate.py | convert_environment | def convert_environment(datadir, version, always_yes):
"""
Converts an environment TO the version specified by `version`.
:param datadir: The datadir to convert.
:param version: The version to convert TO.
:param always_yes: True if the user shouldn't be prompted about the migration.
"""
# Si... | python | def convert_environment(datadir, version, always_yes):
"""
Converts an environment TO the version specified by `version`.
:param datadir: The datadir to convert.
:param version: The version to convert TO.
:param always_yes: True if the user shouldn't be prompted about the migration.
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supercoderz/pyflightdata | pyflightdata/flightdata.py | FlightData.get_history_by_flight_number | def get_history_by_flight_number(self, flight_number, page=1, limit=100):
"""Fetch the history of a flight by its number.
This method can be used to get the history of a flight route by the number.
It checks the user authentication and returns the data accordingly.
Args:
fl... | python | def get_history_by_flight_number(self, flight_number, page=1, limit=100):
"""Fetch the history of a flight by its number.
This method can be used to get the history of a flight route by the number.
It checks the user authentication and returns the data accordingly.
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fl... | [
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supercoderz/pyflightdata | pyflightdata/flightdata.py | FlightData.get_history_by_tail_number | def get_history_by_tail_number(self, tail_number, page=1, limit=100):
"""Fetch the history of a particular aircraft by its tail number.
This method can be used to get the history of a particular aircraft by its tail number.
It checks the user authentication and returns the data accordingly.
... | python | def get_history_by_tail_number(self, tail_number, page=1, limit=100):
"""Fetch the history of a particular aircraft by its tail number.
This method can be used to get the history of a particular aircraft by its tail number.
It checks the user authentication and returns the data accordingly.
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supercoderz/pyflightdata | pyflightdata/flightdata.py | FlightData.get_airports | def get_airports(self, country):
"""Returns a list of all the airports
For a given country this returns a list of dicts, one for each airport, with information like the iata code of the airport etc
Args:
country (str): The country for which the airports will be fetched
Exam... | python | def get_airports(self, country):
"""Returns a list of all the airports
For a given country this returns a list of dicts, one for each airport, with information like the iata code of the airport etc
Args:
country (str): The country for which the airports will be fetched
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supercoderz/pyflightdata | pyflightdata/flightdata.py | FlightData.get_info_by_tail_number | def get_info_by_tail_number(self, tail_number, page=1, limit=100):
"""Fetch the details of a particular aircraft by its tail number.
This method can be used to get the details of a particular aircraft by its tail number.
Details include the serial number, age etc along with links to the images ... | python | def get_info_by_tail_number(self, tail_number, page=1, limit=100):
"""Fetch the details of a particular aircraft by its tail number.
This method can be used to get the details of a particular aircraft by its tail number.
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supercoderz/pyflightdata | pyflightdata/flightdata.py | FlightData.get_fleet | def get_fleet(self, airline_key):
"""Get the fleet for a particular airline.
Given a airline code form the get_airlines() method output, this method returns the fleet for the airline.
Args:
airline_key (str): The code for the airline on flightradar24
Returns:
A... | python | def get_fleet(self, airline_key):
"""Get the fleet for a particular airline.
Given a airline code form the get_airlines() method output, this method returns the fleet for the airline.
Args:
airline_key (str): The code for the airline on flightradar24
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supercoderz/pyflightdata | pyflightdata/flightdata.py | FlightData.get_flights | def get_flights(self, search_key):
"""Get the flights for a particular airline.
Given a full or partial flight number string, this method returns the first 100 flights matching that string.
Please note this method was different in earlier versions. The older versions took an airline code and r... | python | def get_flights(self, search_key):
"""Get the flights for a particular airline.
Given a full or partial flight number string, this method returns the first 100 flights matching that string.
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supercoderz/pyflightdata | pyflightdata/flightdata.py | FlightData.get_flights_from_to | def get_flights_from_to(self, origin, destination):
"""Get the flights for a particular origin and destination.
Given an origin and destination this method returns the upcoming scheduled flights between these two points.
The data returned has the airline, airport and schedule information - this... | python | def get_flights_from_to(self, origin, destination):
"""Get the flights for a particular origin and destination.
Given an origin and destination this method returns the upcoming scheduled flights between these two points.
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supercoderz/pyflightdata | pyflightdata/flightdata.py | FlightData.get_airport_weather | def get_airport_weather(self, iata, page=1, limit=100):
"""Retrieve the weather at an airport
Given the IATA code of an airport, this method returns the weather information.
Args:
iata (str): The IATA code for an airport, e.g. HYD
page (int): Optional page number; for u... | python | def get_airport_weather(self, iata, page=1, limit=100):
"""Retrieve the weather at an airport
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iata (str): The IATA code for an airport, e.g. HYD
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supercoderz/pyflightdata | pyflightdata/flightdata.py | FlightData.get_airport_metars | def get_airport_metars(self, iata, page=1, limit=100):
"""Retrieve the metar data at the current time
Given the IATA code of an airport, this method returns the metar information.
Args:
iata (str): The IATA code for an airport, e.g. HYD
page (int): Optional page number;... | python | def get_airport_metars(self, iata, page=1, limit=100):
"""Retrieve the metar data at the current time
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iata (str): The IATA code for an airport, e.g. HYD
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supercoderz/pyflightdata | pyflightdata/flightdata.py | FlightData.get_airport_metars_hist | def get_airport_metars_hist(self, iata):
"""Retrieve the metar data for past 72 hours. The data will not be parsed to readable format.
Given the IATA code of an airport, this method returns the metar information for last 72 hours.
Args:
iata (str): The IATA code for an airport, e.g... | python | def get_airport_metars_hist(self, iata):
"""Retrieve the metar data for past 72 hours. The data will not be parsed to readable format.
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supercoderz/pyflightdata | pyflightdata/flightdata.py | FlightData.get_airport_stats | def get_airport_stats(self, iata, page=1, limit=100):
"""Retrieve the performance statistics at an airport
Given the IATA code of an airport, this method returns the performance statistics for the airport.
Args:
iata (str): The IATA code for an airport, e.g. HYD
page (i... | python | def get_airport_stats(self, iata, page=1, limit=100):
"""Retrieve the performance statistics at an airport
Given the IATA code of an airport, this method returns the performance statistics for the airport.
Args:
iata (str): The IATA code for an airport, e.g. HYD
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supercoderz/pyflightdata | pyflightdata/flightdata.py | FlightData.get_airport_details | def get_airport_details(self, iata, page=1, limit=100):
"""Retrieve the details of an airport
Given the IATA code of an airport, this method returns the detailed information like lat lon, full name, URL, codes etc.
Args:
iata (str): The IATA code for an airport, e.g. HYD
... | python | def get_airport_details(self, iata, page=1, limit=100):
"""Retrieve the details of an airport
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iata (str): The IATA code for an airport, e.g. HYD
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supercoderz/pyflightdata | pyflightdata/flightdata.py | FlightData.get_images_by_tail_number | def get_images_by_tail_number(self, tail_number, page=1, limit=100):
"""Fetch the images of a particular aircraft by its tail number.
This method can be used to get the images of the aircraft. The images are in 3 sizes and you can use what suits your need.
Args:
tail_number (str): ... | python | def get_images_by_tail_number(self, tail_number, page=1, limit=100):
"""Fetch the images of a particular aircraft by its tail number.
This method can be used to get the images of the aircraft. The images are in 3 sizes and you can use what suits your need.
Args:
tail_number (str): ... | [
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supercoderz/pyflightdata | pyflightdata/flightdata.py | FlightData.login | def login(self, email, password):
"""Login to the flightradar24 session
The API currently uses flightradar24 as the primary data source. The site provides different levels of data based on user plans.
For users who have signed up for a plan, this method allows to login with the credentials from... | python | def login(self, email, password):
"""Login to the flightradar24 session
The API currently uses flightradar24 as the primary data source. The site provides different levels of data based on user plans.
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supercoderz/pyflightdata | pyflightdata/flightdata.py | FlightData.decode_metar | def decode_metar(self, metar):
"""
Simple method that decodes a given metar string.
Args:
metar (str): The metar data
Returns:
The metar data in readable format
Example::
from pyflightdata import FlightData
f=FlightData()
... | python | def decode_metar(self, metar):
"""
Simple method that decodes a given metar string.
Args:
metar (str): The metar data
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The metar data in readable format
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robgolding/django-radius | radiusauth/backends/radius.py | RADIUSBackend._get_auth_packet | def _get_auth_packet(self, username, password, client):
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"""
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"""
Get the pyrad authentication packet for the username/password and the
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robgolding/django-radius | radiusauth/backends/radius.py | RADIUSBackend._perform_radius_auth | def _perform_radius_auth(self, client, packet):
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Returns True or False depending on whether the user is authenticated
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"""
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"""
Perform the actual radius authentication by passing the given packet
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Returns True or False depending on whether the user is authenticated
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robgolding/django-radius | radiusauth/backends/radius.py | RADIUSBackend._radius_auth | def _radius_auth(self, server, username, password):
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"""
client = self._get_client(server)
packet = self._get_auth_packet(username, password, client)
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"""
Authenticate the given username/password against the RADIUS server
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robgolding/django-radius | radiusauth/backends/radius.py | RADIUSBackend.get_django_user | def get_django_user(self, username, password=None):
"""
Get the Django user with the given username, or create one if it
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"""
Get the Django user with the given username, or create one if it
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robgolding/django-radius | radiusauth/backends/radius.py | RADIUSBackend.authenticate | def authenticate(self, request, username=None, password=None):
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robgolding/django-radius | radiusauth/backends/radius.py | RADIUSRealmBackend.authenticate | def authenticate(self, request, username=None, password=None, realm=None):
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smartfile/django-transfer | django_transfer/__init__.py | ProxyUploadedFile.move | def move(self, dst):
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dwkim78/upsilon | upsilon/utils/utils.py | sigma_clipping | def sigma_clipping(date, mag, err, threshold=3, iteration=1):
"""
Remove any fluctuated data points by magnitudes.
Parameters
----------
date : array_like
An array of dates.
mag : array_like
An array of magnitudes.
err : array_like
An array of magnitude errors.
t... | python | def sigma_clipping(date, mag, err, threshold=3, iteration=1):
"""
Remove any fluctuated data points by magnitudes.
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date : array_like
An array of dates.
mag : array_like
An array of magnitudes.
err : array_like
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rix0rrr/gcl | gcl/schema.py | from_spec | def from_spec(spec):
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rix0rrr/gcl | gcl/schema.py | validate | def validate(obj, schema):
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rix0rrr/gcl | gcl/schema.py | attach | def attach(obj, schema):
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dwkim78/upsilon | upsilon/extract_features/feature_set.py | get_feature_set_all | def get_feature_set_all():
"""
Return a list of entire features.
A set of entire features regardless of being used to train a model or
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Returns
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feature_names : list
A list of features' names.
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Return a list of entire features.
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feature_names : list
A list of features' names.
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hannes-brt/hebel | hebel/models/neural_net.py | NeuralNet.parameters | def parameters(self):
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hannes-brt/hebel | hebel/models/neural_net.py | NeuralNet.parameters | def parameters(self, value):
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hannes-brt/hebel | hebel/models/neural_net.py | NeuralNet.checksum | def checksum(self):
""" Returns an MD5 digest of the model.
This can be used to easily identify whether two models have the
same architecture.
"""
m = md5()
for hl in self.hidden_layers:
m.update(str(hl.architecture))
m.update(str(self.top_la... | python | def checksum(self):
""" Returns an MD5 digest of the model.
This can be used to easily identify whether two models have the
same architecture.
"""
m = md5()
for hl in self.hidden_layers:
m.update(str(hl.architecture))
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hannes-brt/hebel | hebel/models/neural_net.py | NeuralNet.evaluate | def evaluate(self, input_data, targets,
return_cache=False, prediction=True):
""" Evaluate the loss function without computing gradients.
**Parameters:**
input_data : GPUArray
Data to evaluate
targets: GPUArray
Targets
return_cache : b... | python | def evaluate(self, input_data, targets,
return_cache=False, prediction=True):
""" Evaluate the loss function without computing gradients.
**Parameters:**
input_data : GPUArray
Data to evaluate
targets: GPUArray
Targets
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hannes-brt/hebel | hebel/models/neural_net.py | NeuralNet.training_pass | def training_pass(self, input_data, targets):
""" Perform a full forward and backward pass through the model.
**Parameters:**
input_data : GPUArray
Data to train the model with.
targets : GPUArray
Training targets.
**Returns:**
loss : float
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""" Perform a full forward and backward pass through the model.
**Parameters:**
input_data : GPUArray
Data to train the model with.
targets : GPUArray
Training targets.
**Returns:**
loss : float
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hannes-brt/hebel | hebel/models/neural_net.py | NeuralNet.feed_forward | def feed_forward(self, input_data, return_cache=False, prediction=True):
""" Run data forward through the model.
**Parameters:**
input_data : GPUArray
Data to run through the model.
return_cache : bool, optional
Whether to return the intermediary results.
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""" Run data forward through the model.
**Parameters:**
input_data : GPUArray
Data to run through the model.
return_cache : bool, optional
Whether to return the intermediary results.
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dwkim78/upsilon | upsilon/extract_features/extract_features.py | ExtractFeatures.shallow_run | def shallow_run(self):
"""Derive not-period-based features."""
# Number of data points
self.n_points = len(self.date)
# Weight calculation.
# All zero values.
if not self.err.any():
self.err = np.ones(len(self.mag)) * np.std(self.mag)
# Some zero valu... | python | def shallow_run(self):
"""Derive not-period-based features."""
# Number of data points
self.n_points = len(self.date)
# Weight calculation.
# All zero values.
if not self.err.any():
self.err = np.ones(len(self.mag)) * np.std(self.mag)
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dwkim78/upsilon | upsilon/extract_features/extract_features.py | ExtractFeatures.deep_run | def deep_run(self):
"""Derive period-based features."""
# Lomb-Scargle period finding.
self.get_period_LS(self.date, self.mag, self.n_threads, self.min_period)
# Features based on a phase-folded light curve
# such as Eta, slope-percentile, etc.
# Should be called after t... | python | def deep_run(self):
"""Derive period-based features."""
# Lomb-Scargle period finding.
self.get_period_LS(self.date, self.mag, self.n_threads, self.min_period)
# Features based on a phase-folded light curve
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dwkim78/upsilon | upsilon/extract_features/extract_features.py | ExtractFeatures.get_period_LS | def get_period_LS(self, date, mag, n_threads, min_period):
"""
Period finding using the Lomb-Scargle algorithm.
Finding two periods. The second period is estimated after whitening
the first period. Calculating various other features as well
using derived periods.
Parame... | python | def get_period_LS(self, date, mag, n_threads, min_period):
"""
Period finding using the Lomb-Scargle algorithm.
Finding two periods. The second period is estimated after whitening
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dwkim78/upsilon | upsilon/extract_features/extract_features.py | ExtractFeatures.get_period_uncertainty | def get_period_uncertainty(self, fx, fy, jmax, fx_width=100):
"""
Get uncertainty of a period.
The uncertainty is defined as the half width of the frequencies
around the peak, that becomes lower than average + standard deviation
of the power spectrum.
Since we may not h... | python | def get_period_uncertainty(self, fx, fy, jmax, fx_width=100):
"""
Get uncertainty of a period.
The uncertainty is defined as the half width of the frequencies
around the peak, that becomes lower than average + standard deviation
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dwkim78/upsilon | upsilon/extract_features/extract_features.py | ExtractFeatures.residuals | def residuals(self, pars, x, y, order):
"""
Residual of Fourier Series.
Parameters
----------
pars : array_like
Fourier series parameters.
x : array_like
An array of date.
y : array_like
An array of true values to fit.
... | python | def residuals(self, pars, x, y, order):
"""
Residual of Fourier Series.
Parameters
----------
pars : array_like
Fourier series parameters.
x : array_like
An array of date.
y : array_like
An array of true values to fit.
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An array of true values to fit.
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dwkim78/upsilon | upsilon/extract_features/extract_features.py | ExtractFeatures.fourier_series | def fourier_series(self, pars, x, order):
"""
Function to fit Fourier Series.
Parameters
----------
x : array_like
An array of date divided by period. It doesn't need to be sorted.
pars : array_like
Fourier series parameters.
order : int
... | python | def fourier_series(self, pars, x, order):
"""
Function to fit Fourier Series.
Parameters
----------
x : array_like
An array of date divided by period. It doesn't need to be sorted.
pars : array_like
Fourier series parameters.
order : int
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dwkim78/upsilon | upsilon/extract_features/extract_features.py | ExtractFeatures.get_stetson_k | def get_stetson_k(self, mag, avg, err):
"""
Return Stetson K feature.
Parameters
----------
mag : array_like
An array of magnitude.
avg : float
An average value of magnitudes.
err : array_like
An array of magnitude errors.
... | python | def get_stetson_k(self, mag, avg, err):
"""
Return Stetson K feature.
Parameters
----------
mag : array_like
An array of magnitude.
avg : float
An average value of magnitudes.
err : array_like
An array of magnitude errors.
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stetson_k : float
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