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value | url stringlengths 87 315 | code_tokens listlengths 19 28.4k | sha stringlengths 40 40 |
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train | data_only_container | 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 | datacats/docker.py | 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(
... | 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(
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train | 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 | datacats/cli/main.py | 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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... | def main():
"""
The main entry point for datacats cli tool
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train | _subcommand_arguments | Return (subcommand, (possibly adjusted) arguments for that subcommand)
Returns (None, args) when no subcommand is found
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validation, and some subcommands (paster and shell) have positional
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"""
Return (subcommand, (possibly adjusted) arguments for that subcommand)
Returns (None, args) when no subcommand is found
Parsing our arguments is hard. Each subcommand has its own docopt
validation, and some subcommands (paster and shell) have positional
opt... | def _subcommand_arguments(args):
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Return (subcommand, (possibly adjusted) arguments for that subcommand)
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train | start | 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] [--address=IP] [ENVIRONMENT]
Optio... | datacats/cli/manage.py | 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... | 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... | [
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train | reload_ | 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_URL]
[-i] ... | datacats/cli/manage.py | 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... | 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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train | info | 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: '.' | datacats/cli/manage.py | 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: '.'
"""
... | 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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train | logs | 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 instead of web logs
--postgres ... | datacats/cli/manage.py | 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... | 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... | [
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train | open_ | 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 directory.
Default: '.' | datacats/cli/manage.py | 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... | def open_(environment, opts):
# pylint: disable=unused-argument
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Usage:
datacats open [-r] [-s NAME] [ENVIRONMENT]
Options:
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train | tweak | 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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"""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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"""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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train | _split_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. | datacats/migrate.py | 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
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A wrapper around the normal split function that ignores any trailing /.
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train | _one_to_two | 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.
Your current site will be kept and will be named "primary".
Would you like to continue ... | datacats/migrate.py | 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.
Your current site will be kept and will be named "prima... | def _one_to_two(datadir):
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This migration is necessary to support multiple sites within the same environment.
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This format version doesn't support multiple sites, and after this only your
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wish to do a migration... | datacats/migrate.py | def _two_to_one(datadir):
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train | convert_environment | 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. | datacats/migrate.py | def convert_environment(datadir, version, always_yes):
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:param datadir: The datadir to convert.
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train | FlightData.get_history_by_flight_number | 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:
flight_number (str): The flight number, e.g. AI101
page (int): Optional pag... | pyflightdata/flightdata.py | 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... | def get_history_by_flight_number(self, flight_number, page=1, limit=100):
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train | FlightData.get_history_by_tail_number | 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.
Args:
tail_number (str): The tail number, e.g. VT-ANL
... | pyflightdata/flightdata.py | 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.
... | 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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train | FlightData.get_airports | 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
Example::
from pyflightdata import ... | pyflightdata/flightdata.py | 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... | 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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train | FlightData.get_info_by_tail_number | 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 of the aircraft.
It checks the user authentication and returns the dat... | pyflightdata/flightdata.py | 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 ... | 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 ... | [
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train | FlightData.get_fleet | 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 list of dicts, one for each aircraft in the ... | pyflightdata/flightdata.py | 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... | 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... | [
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train | FlightData.get_flights | 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 returned all scheduled flights for that airline... | pyflightdata/flightdata.py | 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... | 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... | [
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train | FlightData.get_flights_from_to | 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 is subject to change in future.
Args:
ori... | pyflightdata/flightdata.py | 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... | 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... | [
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train | FlightData.get_airport_weather | 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 users who are on a plan with flightradar24 they can pass in higher p... | pyflightdata/flightdata.py | 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... | 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... | [
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train | FlightData.get_airport_metars | 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; for users who are on a plan with flightradar24 they can pass in h... | pyflightdata/flightdata.py | 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;... | 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;... | [
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train | FlightData.get_airport_metars_hist | 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. HYD
Returns:
The metar data f... | pyflightdata/flightdata.py | 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... | 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... | [
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train | FlightData.get_airport_stats | 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 (int): Optional page number; for users who are on a plan with fligh... | pyflightdata/flightdata.py | 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... | 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... | [
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train | FlightData.get_airport_details | 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
page (int): Optional page number; for users who are on a plan wit... | pyflightdata/flightdata.py | 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
... | 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
... | [
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train | FlightData.get_images_by_tail_number | 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): The tail number, e.g. VT-ANL
page (int): Optional page number; for u... | pyflightdata/flightdata.py | 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): ... | 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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train | FlightData.login | 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 flightradar24. The API obtains
a tok... | pyflightdata/flightdata.py | 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... | 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... | [
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train | FlightData.decode_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()
f.decode_metar('WSSS 181030Z 04009KT 010V080 ... | pyflightdata/flightdata.py | 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()
... | 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()
... | [
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train | RADIUSBackend._get_auth_packet | Get the pyrad authentication packet for the username/password and the
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Get the pyrad authentication packet for the username/password and the
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pkt = client.CreateAuthPacket(code=AccessRequest,
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train | RADIUSBackend._get_client | Get the pyrad client for a given server. RADIUS server is described by
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Get the pyrad client for a given server. RADIUS server is described by
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train | RADIUSBackend._perform_radius_auth | Perform the actual radius authentication by passing the given packet
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Perform the actual radius authentication by passing the given packet
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train | RADIUSBackend._radius_auth | Authenticate the given username/password against the RADIUS server
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Authenticate the given username/password against the RADIUS server
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train | RADIUSBackend.get_django_user | 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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Get the Django user with the given username, or create one if it
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train | RADIUSBackend.authenticate | Check credentials against RADIUS server and return a User object or
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train | RADIUSRealmBackend.authenticate | Check credentials against the RADIUS server identified by `realm` and
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train | ProxyUploadedFile.move | Closes then moves the file to dst. | django_transfer/__init__.py | def move(self, dst):
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date : array_like
An array of dates.
mag : array_like
An array of magnitudes.
err : array_like
An array of magnitude errors.
threshold : float, optional
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"""
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... | 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
An array of magnitude errors.
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train | get_feature_set_all | Return a list of entire features.
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Returns
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feature_names : list
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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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feature_names : list
A list of features' names.
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train | NeuralNet.parameters | A property that returns all of the model's parameters. | hebel/models/neural_net.py | def parameters(self):
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train | NeuralNet.parameters | Used to set all of the model's parameters to new values.
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value : array_like
New values for the model parameters. Must be of length
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value : array_like
New values for the model parameters. Must be of length
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train | ExtractFeatures.shallow_run | Derive not-period-based features. | upsilon/extract_features/extract_features.py | def shallow_run(self):
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# Number of data points
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train | ExtractFeatures.deep_run | Derive period-based features. | upsilon/extract_features/extract_features.py | def deep_run(self):
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train | ExtractFeatures.get_period_LS | Period finding using the Lomb-Scargle algorithm.
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Parameters
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date : array_like
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train | ExtractFeatures.get_period_uncertainty | Get uncertainty of a period.
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train | ExtractFeatures.residuals | Residual of Fourier Series.
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Fourier series parameters.
x : array_like
An array of date.
y : array_like
An array of true values to fit.
order : int
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Residual of Fourier Series.
Parameters
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Fourier series parameters.
x : array_like
An array of date.
y : array_like
An array of true values to fit.
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Fourier series parameters.
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An array of date.
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An array of true values to fit.
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train | ExtractFeatures.fourier_series | Function to fit Fourier Series.
Parameters
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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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"""
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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"""
Function to fit Fourier Series.
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x : array_like
An array of date divided by period. It doesn't need to be sorted.
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Fourier series parameters.
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train | ExtractFeatures.get_stetson_k | 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.
Returns
-------
stetson_k : float
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"""
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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Return Stetson K feature.
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An array of magnitude.
avg : float
An average value of magnitudes.
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An array of magnitude errors.
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train | ExtractFeatures.half_mag_amplitude_ratio | Return ratio of amplitude of higher and lower magnitudes.
A ratio of amplitude of higher and lower magnitudes than average,
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Parameters
----------
mag : array_like
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Return ratio of amplitude of higher and lower magnitudes.
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Return ratio of amplitude of higher and lower magnitudes.
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train | ExtractFeatures.half_mag_amplitude_ratio2 | Return ratio of amplitude of higher and lower magnitudes.
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----------
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train | ExtractFeatures.get_eta | Return Eta feature.
Parameters
----------
mag : array_like
An array of magnitudes.
std : array_like
A standard deviation of magnitudes.
Returns
-------
eta : float
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"""
Return Eta feature.
Parameters
----------
mag : array_like
An array of magnitudes.
std : array_like
A standard deviation of magnitudes.
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-------
eta : float
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An array of magnitudes.
std : array_like
A standard deviation of magnitudes.
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train | ExtractFeatures.slope_percentile | Return 10% and 90% percentile of slope.
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date : array_like
An array of phase-folded date. Sorted.
mag : array_like
An array of phase-folded magnitudes. Sorted by date.
Returns
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----------
date : array_like
An array of phase-folded date. Sorted.
mag : array_like
An array of phase-folded magnitudes. Sorted by date.
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Return 10% and 90% percentile of slope.
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mag : array_like
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train | ExtractFeatures.get_cusum | Return max - min of cumulative sum.
Parameters
----------
mag : array_like
An array of magnitudes.
Returns
-------
mm_cusum : float
Max - min of cumulative sum. | upsilon/extract_features/extract_features.py | def get_cusum(self, mag):
"""
Return max - min of cumulative sum.
Parameters
----------
mag : array_like
An array of magnitudes.
Returns
-------
mm_cusum : float
Max - min of cumulative sum.
"""
c = np.cumsum(mag ... | def get_cusum(self, mag):
"""
Return max - min of cumulative sum.
Parameters
----------
mag : array_like
An array of magnitudes.
Returns
-------
mm_cusum : float
Max - min of cumulative sum.
"""
c = np.cumsum(mag ... | [
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train | ExtractFeatures.get_features2 | Return all features with its names.
Returns
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names : list
Feature names.
values : list
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"""
Return all features with its names.
Returns
-------
names : list
Feature names.
values : list
Feature values
"""
feature_names = []
feature_values = []
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Return all features with its names.
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Feature names.
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feature_names = []
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train | ExtractFeatures.get_features_all | Return all features with its names.
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Returns
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all_features : OrderedDict
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"""
Return all features with its names.
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Returns
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all_features : OrderedDict
Features dictionary.
"""
features = {}
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Return all features with its names.
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all_features : OrderedDict
Features dictionary.
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features = {}
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**Parameters:**
device_id : integer, optional
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train | inflate_context_tuple | Instantiate a Tuple from a TupleNode.
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train | find_deref_completions | Returns a dict of { name => Completions }. | gcl/ast_util.py | def find_deref_completions(ast_rootpath, root_env=gcl.default_env):
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deref = pa... | def find_deref_completions(ast_rootpath, root_env=gcl.default_env):
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train | is_identifier_position | Return whether the cursor is in identifier-position in a member declaration. | gcl/ast_util.py | def is_identifier_position(rootpath):
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train | find_completions_at_cursor | Find completions at the cursor.
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q = gcl.SourceQuery(filename, line, col - 1)
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train | find_inherited_key_completions | Return completion keys from INHERITED tuples.
Easiest way to get those is to evaluate the tuple, check if it is a CompositeTuple,
then enumerate the keys that are NOT in the rightmost tuple. | gcl/ast_util.py | def find_inherited_key_completions(rootpath, root_env):
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tup = inflate_context_tuple(rootpath, root_env)
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train | find_value_at_cursor | Find the value of the object under the cursor. | gcl/ast_util.py | def find_value_at_cursor(ast_tree, filename, line, col, root_env=gcl.default_env):
"""Find the value of the object under the cursor."""
q = gcl.SourceQuery(filename, line, col)
rootpath = ast_tree.find_tokens(q)
rootpath = path_until(rootpath, is_thunk)
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train | add_vec_to_mat | Add a vector to a matrix | hebel/pycuda_ops/matrix.py | def add_vec_to_mat(mat, vec, axis=None, inplace=False,
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""" Add a vector to a matrix
"""
assert mat.flags.c_contiguous
if axis is None:
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""" Add a vector to a matrix
"""
assert mat.flags.c_contiguous
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train | vector_normalize | Normalize each column vector in mat to length
max_vec_norm if it is longer than max_vec_norm | hebel/pycuda_ops/matrix.py | def vector_normalize(mat, max_vec_norm=1.):
""" Normalize each column vector in mat to length
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"""
assert mat.flags.c_contiguous
n, m = mat.shape
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train | preprocess | Preprocesses a string, by replacing ${VARNAME} with
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----------
string: the str object to preprocess
Returns
-------
the preprocessed string | hebel/utils/string_utils.py | def preprocess(string):
"""
Preprocesses a string, by replacing ${VARNAME} with
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Parameters
----------
string: the str object to preprocess
Returns
-------
the preprocessed string
"""
split = string.split('${')
rval = [split[0]]
for candidate... | def preprocess(string):
"""
Preprocesses a string, by replacing ${VARNAME} with
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----------
string: the str object to preprocess
Returns
-------
the preprocessed string
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train | tokenize_by_number | splits a string into a list of tokens
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or a float | hebel/utils/string_utils.py | def tokenize_by_number(s):
""" splits a string into a list of tokens
each is either a string containing no numbers
or a float """
r = find_number(s)
if r == None:
return [ s ]
else:
tokens = []
if r[0] > 0:
tokens.append(s[0:r[0]])
tokens.app... | def tokenize_by_number(s):
""" splits a string into a list of tokens
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train | number_aware_alphabetical_cmp | cmp function for sorting a list of strings by alphabetical order, but with
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train | censor_non_alphanum | Returns s with all non-alphanumeric characters replaced with * | hebel/utils/string_utils.py | def censor_non_alphanum(s):
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train | is_period_alias | Check if a given period is possibly an alias.
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period : float
A period to test if it is a possible alias or not.
Returns
-------
is_alias : boolean
True if the given period is in a range of period alias. | upsilon/extract_features/is_period_alias.py | def is_period_alias(period):
"""
Check if a given period is possibly an alias.
Parameters
----------
period : float
A period to test if it is a possible alias or not.
Returns
-------
is_alias : boolean
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train | get_pickle_protocol | Allow configuration of the pickle protocol on a per-machine basis.
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Allow configuration of the pickle protocol on a per-machine basis.
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train | load_train_file | Loads and parses a yaml file for a Train object.
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suffix_to_strip = '.yaml'
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train | InputDropout.feed_forward | Propagate forward through the layer
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Inpute data to perform dropout on.
prediction : bool, optional
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input_data : ``GPUArray``
Inpute data to perform dropout on.
prediction : bool, optional
Whether to use prediction model. If true, then the data is
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Inpute data to perform dropout on.
prediction : bool, optional
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Inpute data to perform dropout on.
df_output : ``GPUArray``
Gradients with respect to the output of this layer
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input_data : ``GPUArray``
Inpute data to perform dropout on.
df_output : ``GPUArray``
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Inpute data to perform dropout on.
df_output : ``GPUArray``
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train | POINTER | Create ctypes pointer to object.
Notes
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Create ctypes pointer to object.
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"""
p = ctypes.POINTER(obj)
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train | gpuarray_ptr | Return ctypes pointer to data in GPUAarray object. | hebel/pycuda_ops/cudart.py | def gpuarray_ptr(g):
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Return ctypes pointer to data in GPUAarray object.
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train | cudaMalloc | Allocate device memory.
Allocate memory on the device associated with the current active
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Parameters
----------
count : int
Number of bytes of memory to allocate
ctype : _ctypes.SimpleType, optional
ctypes type to cast returned pointer.
Returns
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"""
Allocate device memory.
Allocate memory on the device associated with the current active
context.
Parameters
----------
count : int
Number of bytes of memory to allocate
ctype : _ctypes.SimpleType, optional
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Allocate device memory.
Allocate memory on the device associated with the current active
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count : int
Number of bytes of memory to allocate
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train | cudaMallocPitch | Allocate pitched device memory.
Allocate pitched memory on the device associated with the current active
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Parameters
----------
pitch : int
Pitch for allocation.
rows : int
Requested pitched allocation height.
cols : int
Requested pitched allocation width.
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Allocate pitched device memory.
Allocate pitched memory on the device associated with the current active
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Parameters
----------
pitch : int
Pitch for allocation.
rows : int
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Pitch for allocation.
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train | cudaMemcpy_htod | Copy memory from host to device.
Copy data from host memory to device memory.
Parameters
----------
dst : ctypes pointer
Device memory pointer.
src : ctypes pointer
Host memory pointer.
count : int
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Copy memory from host to device.
Copy data from host memory to device memory.
Parameters
----------
dst : ctypes pointer
Device memory pointer.
src : ctypes pointer
Host memory pointer.
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Copy memory from host to device.
Copy data from host memory to device memory.
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Device memory pointer.
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train | cudaMemcpy_dtoh | Copy memory from device to host.
Copy data from device memory to host memory.
Parameters
----------
dst : ctypes pointer
Host memory pointer.
src : ctypes pointer
Device memory pointer.
count : int
Number of bytes to copy. | hebel/pycuda_ops/cudart.py | def cudaMemcpy_dtoh(dst, src, count):
"""
Copy memory from device to host.
Copy data from device memory to host memory.
Parameters
----------
dst : ctypes pointer
Host memory pointer.
src : ctypes pointer
Device memory pointer.
count : int
Number of bytes to cop... | def cudaMemcpy_dtoh(dst, src, count):
"""
Copy memory from device to host.
Copy data from device memory to host memory.
Parameters
----------
dst : ctypes pointer
Host memory pointer.
src : ctypes pointer
Device memory pointer.
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train | cudaMemGetInfo | Return the amount of free and total device memory.
Returns
-------
free : long
Free memory in bytes.
total : long
Total memory in bytes. | hebel/pycuda_ops/cudart.py | def cudaMemGetInfo():
"""
Return the amount of free and total device memory.
Returns
-------
free : long
Free memory in bytes.
total : long
Total memory in bytes.
"""
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total = ctypes.c_size_t()
status = _libcudart.cudaMemGetInfo(ctypes.b... | def cudaMemGetInfo():
"""
Return the amount of free and total device memory.
Returns
-------
free : long
Free memory in bytes.
total : long
Total memory in bytes.
"""
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train | cudaGetDevice | Get current CUDA device.
Return the identifying number of the device currently used to
process CUDA operations.
Returns
-------
dev : int
Device number. | hebel/pycuda_ops/cudart.py | def cudaGetDevice():
"""
Get current CUDA device.
Return the identifying number of the device currently used to
process CUDA operations.
Returns
-------
dev : int
Device number.
"""
dev = ctypes.c_int()
status = _libcudart.cudaGetDevice(ctypes.byref(dev))
cudaChec... | def cudaGetDevice():
"""
Get current CUDA device.
Return the identifying number of the device currently used to
process CUDA operations.
Returns
-------
dev : int
Device number.
"""
dev = ctypes.c_int()
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train | cudaDriverGetVersion | Get installed CUDA driver version.
Return the version of the installed CUDA driver as an integer. If
no driver is detected, 0 is returned.
Returns
-------
version : int
Driver version. | hebel/pycuda_ops/cudart.py | def cudaDriverGetVersion():
"""
Get installed CUDA driver version.
Return the version of the installed CUDA driver as an integer. If
no driver is detected, 0 is returned.
Returns
-------
version : int
Driver version.
"""
version = ctypes.c_int()
status = _libcudart.cu... | def cudaDriverGetVersion():
"""
Get installed CUDA driver version.
Return the version of the installed CUDA driver as an integer. If
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Returns
-------
version : int
Driver version.
"""
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train | cudaPointerGetAttributes | Get memory pointer attributes.
Returns attributes of the specified pointer.
Parameters
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ptr : ctypes pointer
Memory pointer to examine.
Returns
-------
memory_type : int
Memory type; 1 indicates host memory, 2 indicates device
memory.
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... | hebel/pycuda_ops/cudart.py | def cudaPointerGetAttributes(ptr):
"""
Get memory pointer attributes.
Returns attributes of the specified pointer.
Parameters
----------
ptr : ctypes pointer
Memory pointer to examine.
Returns
-------
memory_type : int
Memory type; 1 indicates host memory, 2 indica... | def cudaPointerGetAttributes(ptr):
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Get memory pointer attributes.
Returns attributes of the specified pointer.
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ptr : ctypes pointer
Memory pointer to examine.
Returns
-------
memory_type : int
Memory type; 1 indicates host memory, 2 indica... | [
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train | eval | Evaluate a thunk in an environment.
Will defer the actual evaluation to the thunk itself, but adds two things:
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Since we have to use a global evaluation stack (because there is a variety of functions that may
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Will defer the actual evaluation to the thunk itself, but adds two things:
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Since we have to use a global evaluation stack (because there is a variety of functions that may
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train | Environment.get_node | Delegate to our current "value provider" for the node belonging to this key. | gcl/framework.py | def get_node(self, key):
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if key in self.names:
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train | FakeModel.create_table | create_table
Manually create a temporary table for model in test data base.
:return: | django_fake_model/models.py | def create_table(cls):
"""
create_table
Manually create a temporary table for model in test data base.
:return:
"""
schema_editor = getattr(connection, 'schema_editor', None)
if schema_editor:
with schema_editor() as schema_editor:
sch... | def create_table(cls):
"""
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Manually create a temporary table for model in test data base.
:return:
"""
schema_editor = getattr(connection, 'schema_editor', None)
if schema_editor:
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sch... | [
"create_table"
] | erm0l0v/django-fake-model | python | https://github.com/erm0l0v/django-fake-model/blob/42fb28ac3aa4db5f82b6cb97a7c2a92b83b36314/django_fake_model/models.py#L22-L43 | [
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train | FakeModel.delete_table | delete_table
Manually delete a temporary table for model in test data base.
:return: | django_fake_model/models.py | def delete_table(cls):
"""
delete_table
Manually delete a temporary table for model in test data base.
:return:
"""
schema_editor = getattr(connection, 'schema_editor', None)
if schema_editor:
with connection.schema_editor() as schema_editor:
... | def delete_table(cls):
"""
delete_table
Manually delete a temporary table for model in test data base.
:return:
"""
schema_editor = getattr(connection, 'schema_editor', None)
if schema_editor:
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... | [
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train | FakeModel.fake_me | fake_me
Class or method decorator
Class decorator: create temporary table for all tests in SimpleTestCase.
Method decorator: create temporary model only for given test method.
:param source: SimpleTestCase or test function
:return: | django_fake_model/models.py | def fake_me(cls, source):
"""
fake_me
Class or method decorator
Class decorator: create temporary table for all tests in SimpleTestCase.
Method decorator: create temporary model only for given test method.
:param source: SimpleTestCase or test function
:return:
... | def fake_me(cls, source):
"""
fake_me
Class or method decorator
Class decorator: create temporary table for all tests in SimpleTestCase.
Method decorator: create temporary model only for given test method.
:param source: SimpleTestCase or test function
:return:
... | [
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] | erm0l0v/django-fake-model | python | https://github.com/erm0l0v/django-fake-model/blob/42fb28ac3aa4db5f82b6cb97a7c2a92b83b36314/django_fake_model/models.py#L67-L83 | [
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train | vcr | Decorator for capturing and simulating network communication
``debug`` : bool, optional
Enables debug mode.
``overwrite`` : bool, optional
Will run vcr in recording mode - overwrites any existing vcrtapes.
``playback_only`` : bool, optional
Will run vcr in playback mode - will not c... | vcr/core.py | def vcr(decorated_func=None, debug=False, overwrite=False, disabled=False,
playback_only=False, tape_name=None):
"""
Decorator for capturing and simulating network communication
``debug`` : bool, optional
Enables debug mode.
``overwrite`` : bool, optional
Will run vcr in recordi... | def vcr(decorated_func=None, debug=False, overwrite=False, disabled=False,
playback_only=False, tape_name=None):
"""
Decorator for capturing and simulating network communication
``debug`` : bool, optional
Enables debug mode.
``overwrite`` : bool, optional
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train | VCRSystem.reset | Reset to default settings | vcr/core.py | def reset(cls):
"""
Reset to default settings
"""
cls.debug = False
cls.disabled = False
cls.overwrite = False
cls.playback_only = False
cls.recv_timeout = 5
cls.recv_endmarkers = []
cls.recv_size = None | def reset(cls):
"""
Reset to default settings
"""
cls.debug = False
cls.disabled = False
cls.overwrite = False
cls.playback_only = False
cls.recv_timeout = 5
cls.recv_endmarkers = []
cls.recv_size = None | [
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train | to_python | Reify values to their Python equivalents.
Does recursion detection, failing when that happens. | gcl/util.py | def to_python(value, seen=None):
"""Reify values to their Python equivalents.
Does recursion detection, failing when that happens.
"""
seen = seen or set()
if isinstance(value, framework.TupleLike):
if value.ident in seen:
raise RecursionException('to_python: infinite recursion while evaluating %r'... | def to_python(value, seen=None):
"""Reify values to their Python equivalents.
Does recursion detection, failing when that happens.
"""
seen = seen or set()
if isinstance(value, framework.TupleLike):
if value.ident in seen:
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