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value | code stringlengths 75 19.8k | code_tokens list | docstring stringlengths 3 17.3k | docstring_tokens list | sha stringlengths 40 40 | url stringlengths 87 242 | partition stringclasses 1
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jaraco/irc | irc/client.py | Reactor.add_global_handler | def add_global_handler(self, event, handler, priority=0):
"""Adds a global handler function for a specific event type.
Arguments:
event -- Event type (a string). Check the values of
numeric_events for possible event types.
handler -- Callback function tak... | python | def add_global_handler(self, event, handler, priority=0):
"""Adds a global handler function for a specific event type.
Arguments:
event -- Event type (a string). Check the values of
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jaraco/irc | irc/client.py | Reactor.remove_global_handler | def remove_global_handler(self, event, handler):
"""Removes a global handler function.
Arguments:
event -- Event type (a string).
handler -- Callback function.
Returns 1 on success, otherwise 0.
"""
with self.mutex:
if event not in self.hand... | python | def remove_global_handler(self, event, handler):
"""Removes a global handler function.
Arguments:
event -- Event type (a string).
handler -- Callback function.
Returns 1 on success, otherwise 0.
"""
with self.mutex:
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jaraco/irc | irc/client.py | Reactor.dcc | def dcc(self, dcctype="chat"):
"""Creates and returns a DCCConnection object.
Arguments:
dcctype -- "chat" for DCC CHAT connections or "raw" for
DCC SEND (or other DCC types). If "chat",
incoming data will be split in newline-separated
... | python | def dcc(self, dcctype="chat"):
"""Creates and returns a DCCConnection object.
Arguments:
dcctype -- "chat" for DCC CHAT connections or "raw" for
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jaraco/irc | irc/client.py | Reactor._handle_event | def _handle_event(self, connection, event):
"""
Handle an Event event incoming on ServerConnection connection.
"""
with self.mutex:
matching_handlers = sorted(
self.handlers.get("all_events", [])
+ self.handlers.get(event.type, [])
... | python | def _handle_event(self, connection, event):
"""
Handle an Event event incoming on ServerConnection connection.
"""
with self.mutex:
matching_handlers = sorted(
self.handlers.get("all_events", [])
+ self.handlers.get(event.type, [])
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jaraco/irc | irc/client.py | DCCConnection.disconnect | def disconnect(self, message=""):
"""Hang up the connection and close the object.
Arguments:
message -- Quit message.
"""
try:
del self.connected
except AttributeError:
return
try:
self.socket.shutdown(socket.SHUT_WR)
... | python | def disconnect(self, message=""):
"""Hang up the connection and close the object.
Arguments:
message -- Quit message.
"""
try:
del self.connected
except AttributeError:
return
try:
self.socket.shutdown(socket.SHUT_WR)
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jaraco/irc | irc/client.py | DCCConnection.privmsg | def privmsg(self, text):
"""
Send text to DCC peer.
The text will be padded with a newline if it's a DCC CHAT session.
"""
if self.dcctype == 'chat':
text += '\n'
return self.send_bytes(self.encode(text)) | python | def privmsg(self, text):
"""
Send text to DCC peer.
The text will be padded with a newline if it's a DCC CHAT session.
"""
if self.dcctype == 'chat':
text += '\n'
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jaraco/irc | irc/client.py | DCCConnection.send_bytes | def send_bytes(self, bytes):
"""
Send data to DCC peer.
"""
try:
self.socket.send(bytes)
log.debug("TO PEER: %r\n", bytes)
except socket.error:
self.disconnect("Connection reset by peer.") | python | def send_bytes(self, bytes):
"""
Send data to DCC peer.
"""
try:
self.socket.send(bytes)
log.debug("TO PEER: %r\n", bytes)
except socket.error:
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jaraco/irc | irc/client.py | SimpleIRCClient.dcc | def dcc(self, *args, **kwargs):
"""Create and associate a new DCCConnection object.
Use the returned object to listen for or connect to
a DCC peer.
"""
dcc = self.reactor.dcc(*args, **kwargs)
self.dcc_connections.append(dcc)
return dcc | python | def dcc(self, *args, **kwargs):
"""Create and associate a new DCCConnection object.
Use the returned object to listen for or connect to
a DCC peer.
"""
dcc = self.reactor.dcc(*args, **kwargs)
self.dcc_connections.append(dcc)
return dcc | [
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jaraco/irc | irc/client.py | SimpleIRCClient.dcc_connect | def dcc_connect(self, address, port, dcctype="chat"):
"""Connect to a DCC peer.
Arguments:
address -- IP address of the peer.
port -- Port to connect to.
Returns a DCCConnection instance.
"""
warnings.warn("Use self.dcc(type).connect()", DeprecationWar... | python | def dcc_connect(self, address, port, dcctype="chat"):
"""Connect to a DCC peer.
Arguments:
address -- IP address of the peer.
port -- Port to connect to.
Returns a DCCConnection instance.
"""
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jaraco/irc | irc/client.py | SimpleIRCClient.dcc_listen | def dcc_listen(self, dcctype="chat"):
"""Listen for connections from a DCC peer.
Returns a DCCConnection instance.
"""
warnings.warn("Use self.dcc(type).listen()", DeprecationWarning)
return self.dcc(dcctype).listen() | python | def dcc_listen(self, dcctype="chat"):
"""Listen for connections from a DCC peer.
Returns a DCCConnection instance.
"""
warnings.warn("Use self.dcc(type).listen()", DeprecationWarning)
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jaraco/irc | irc/ctcp.py | dequote | def dequote(message):
"""
Dequote a message according to CTCP specifications.
The function returns a list where each element can be either a
string (normal message) or a tuple of one or two strings (tagged
messages). If a tuple has only one element (ie is a singleton),
that element is the tag;... | python | def dequote(message):
"""
Dequote a message according to CTCP specifications.
The function returns a list where each element can be either a
string (normal message) or a tuple of one or two strings (tagged
messages). If a tuple has only one element (ie is a singleton),
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sibson/vncdotool | vncdotool/api.py | connect | def connect(server, password=None,
factory_class=VNCDoToolFactory, proxy=ThreadedVNCClientProxy, timeout=None):
""" Connect to a VNCServer and return a Client instance that is usable
in the main thread of non-Twisted Python Applications, EXPERIMENTAL.
>>> from vncdotool import api
>>> with api.... | python | def connect(server, password=None,
factory_class=VNCDoToolFactory, proxy=ThreadedVNCClientProxy, timeout=None):
""" Connect to a VNCServer and return a Client instance that is usable
in the main thread of non-Twisted Python Applications, EXPERIMENTAL.
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>>> with api.... | [
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sibson/vncdotool | vncdotool/client.py | VNCDoToolClient.keyPress | def keyPress(self, key):
""" Send a key press to the server
key: string: either [a-z] or a from KEYMAP
"""
log.debug('keyPress %s', key)
self.keyDown(key)
self.keyUp(key)
return self | python | def keyPress(self, key):
""" Send a key press to the server
key: string: either [a-z] or a from KEYMAP
"""
log.debug('keyPress %s', key)
self.keyDown(key)
self.keyUp(key)
return self | [
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sibson/vncdotool | vncdotool/client.py | VNCDoToolClient.mousePress | def mousePress(self, button):
""" Send a mouse click at the last set position
button: int: [1-n]
"""
log.debug('mousePress %s', button)
buttons = self.buttons | (1 << (button - 1))
self.mouseDown(button)
self.mouseUp(button)
return self | python | def mousePress(self, button):
""" Send a mouse click at the last set position
button: int: [1-n]
"""
log.debug('mousePress %s', button)
buttons = self.buttons | (1 << (button - 1))
self.mouseDown(button)
self.mouseUp(button)
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sibson/vncdotool | vncdotool/client.py | VNCDoToolClient.mouseDown | def mouseDown(self, button):
""" Send a mouse button down at the last set position
button: int: [1-n]
"""
log.debug('mouseDown %s', button)
self.buttons |= 1 << (button - 1)
self.pointerEvent(self.x, self.y, buttonmask=self.buttons)
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""" Send a mouse button down at the last set position
button: int: [1-n]
"""
log.debug('mouseDown %s', button)
self.buttons |= 1 << (button - 1)
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sibson/vncdotool | vncdotool/client.py | VNCDoToolClient.captureRegion | def captureRegion(self, filename, x, y, w, h):
""" Save a region of the current display to filename
"""
log.debug('captureRegion %s', filename)
return self._capture(filename, x, y, x+w, y+h) | python | def captureRegion(self, filename, x, y, w, h):
""" Save a region of the current display to filename
"""
log.debug('captureRegion %s', filename)
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sibson/vncdotool | vncdotool/client.py | VNCDoToolClient.expectScreen | def expectScreen(self, filename, maxrms=0):
""" Wait until the display matches a target image
filename: an image file to read and compare against
maxrms: the maximum root mean square between histograms of the
screen and target image
"""
log.debug('exp... | python | def expectScreen(self, filename, maxrms=0):
""" Wait until the display matches a target image
filename: an image file to read and compare against
maxrms: the maximum root mean square between histograms of the
screen and target image
"""
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sibson/vncdotool | vncdotool/client.py | VNCDoToolClient.expectRegion | def expectRegion(self, filename, x, y, maxrms=0):
""" Wait until a portion of the screen matches the target image
The region compared is defined by the box
(x, y), (x + image.width, y + image.height)
"""
log.debug('expectRegion %s (%s, %s)', filename, x, y)
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""" Wait until a portion of the screen matches the target image
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"""
log.debug('expectRegion %s (%s, %s)', filename, x, y)
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sibson/vncdotool | vncdotool/client.py | VNCDoToolClient.setImageMode | def setImageMode(self):
""" Extracts color ordering and 24 vs. 32 bpp info out of the pixel format information
"""
if self._version_server == 3.889:
self.setPixelFormat(
bpp = 16, depth = 16, bigendian = 0, truecolor = 1,
redmax = 31, greenmax ... | python | def setImageMode(self):
""" Extracts color ordering and 24 vs. 32 bpp info out of the pixel format information
"""
if self._version_server == 3.889:
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sibson/vncdotool | vncdotool/rfb.py | RFBClient._handleDecodeHextileRAW | def _handleDecodeHextileRAW(self, block, bg, color, x, y, width, height, tx, ty, tw, th):
"""the tile is in raw encoding"""
self.updateRectangle(tx, ty, tw, th, block)
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"""the tile is in raw encoding"""
self.updateRectangle(tx, ty, tw, th, block)
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sibson/vncdotool | vncdotool/rfb.py | RFBClient._handleDecodeHextileSubrectsColoured | def _handleDecodeHextileSubrectsColoured(self, block, bg, color, subrects, x, y, width, height, tx, ty, tw, th):
"""subrects with their own color"""
sz = self.bypp + 2
pos = 0
end = len(block)
while pos < end:
pos2 = pos + self.bypp
color = block[pos:pos2]... | python | def _handleDecodeHextileSubrectsColoured(self, block, bg, color, subrects, x, y, width, height, tx, ty, tw, th):
"""subrects with their own color"""
sz = self.bypp + 2
pos = 0
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sibson/vncdotool | vncdotool/rfb.py | RFBClient.fillRectangle | def fillRectangle(self, x, y, width, height, color):
"""fill the area with the color. the color is a string in
the pixel format set up earlier"""
#fallback variant, use update recatngle
#override with specialized function for better performance
self.updateRectangle(x, y, width... | python | def fillRectangle(self, x, y, width, height, color):
"""fill the area with the color. the color is a string in
the pixel format set up earlier"""
#fallback variant, use update recatngle
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sibson/vncdotool | vncdotool/rfb.py | RFBDes.setKey | def setKey(self, key):
"""RFB protocol for authentication requires client to encrypt
challenge sent by server with password using DES method. However,
bits in each byte of the password are put in reverse order before
using it as encryption key."""
newkey = []
for... | python | def setKey(self, key):
"""RFB protocol for authentication requires client to encrypt
challenge sent by server with password using DES method. However,
bits in each byte of the password are put in reverse order before
using it as encryption key."""
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meraki-analytics/cassiopeia | cassiopeia/core/league.py | MiniSeries.not_played | def not_played(self) -> int:
"""The number of games in the player's promos that they haven't played yet."""
return len(self._data[MiniSeriesData].progress) - len(self.progress) | python | def not_played(self) -> int:
"""The number of games in the player's promos that they haven't played yet."""
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meraki-analytics/cassiopeia | cassiopeia/datastores/uniquekeys.py | _rgetattr | def _rgetattr(obj, key):
"""Recursive getattr for handling dots in keys."""
for k in key.split("."):
obj = getattr(obj, k)
return obj | python | def _rgetattr(obj, key):
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wong2/pick | pick/__init__.py | Picker.draw | def draw(self):
"""draw the curses ui on the screen, handle scroll if needed"""
self.screen.clear()
x, y = 1, 1 # start point
max_y, max_x = self.screen.getmaxyx()
max_rows = max_y - y # the max rows we can draw
lines, current_line = self.get_lines()
# calcul... | python | def draw(self):
"""draw the curses ui on the screen, handle scroll if needed"""
self.screen.clear()
x, y = 1, 1 # start point
max_y, max_x = self.screen.getmaxyx()
max_rows = max_y - y # the max rows we can draw
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chovanecm/sacredboard | sacredboard/app/webapi/files.py | get_file | def get_file(file_id: str, download):
"""
Get a specific file from GridFS.
Returns a binary stream response or HTTP 404 if not found.
"""
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"""
Get a specific file from GridFS.
Returns a binary stream response or HTTP 404 if not found.
"""
data = current_app.config["data"] # type: DataStorage
dao = data.get_files_dao()
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chovanecm/sacredboard | sacredboard/app/webapi/files.py | get_files_zip | def get_files_zip(run_id: int, filetype: _FileType):
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dao_runs = data.get_run_dao()
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run = dao_runs.get(run_id)
if filetype == _FileType.ARTIFACT:
target_files = run['ar... | python | def get_files_zip(run_id: int, filetype: _FileType):
"""Send all artifacts or sources of a run as ZIP."""
data = current_app.config["data"]
dao_runs = data.get_run_dao()
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run = dao_runs.get(run_id)
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chovanecm/sacredboard | sacredboard/app/data/pymongo/filesdao.py | MongoFilesDAO.get | def get(self, file_id: Union[str, bson.ObjectId]) -> [typing.BinaryIO, str, datetime.datetime]:
"""
Return the file identified by a file_id string.
The return value is a file-like object which also has the following attributes:
filename: str
upload_date: datetime
"""
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"""
Return the file identified by a file_id string.
The return value is a file-like object which also has the following attributes:
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chovanecm/sacredboard | sacredboard/app/data/pymongo/genericdao.py | GenericDAO.find_record | def find_record(self, collection_name, query):
"""
Return the first record mathing the given Mongo query.
:param collection_name: Name of the collection to search in.
:param query: MongoDB Query, e.g. {_id: 123}
:return: A single MongoDB record or None if not found.
:ra... | python | def find_record(self, collection_name, query):
"""
Return the first record mathing the given Mongo query.
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chovanecm/sacredboard | sacredboard/app/data/pymongo/genericdao.py | GenericDAO.find_records | def find_records(self, collection_name, query={}, sort_by=None,
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chovanecm/sacredboard | sacredboard/app/data/pymongo/genericdao.py | GenericDAO._get_database | def _get_database(self, database_name):
"""
Get PyMongo client pointing to the current database.
:return: MongoDB client of the current database.
:raise DataSourceError
"""
try:
return self._client[database_name]
except InvalidName as ex:
... | python | def _get_database(self, database_name):
"""
Get PyMongo client pointing to the current database.
:return: MongoDB client of the current database.
:raise DataSourceError
"""
try:
return self._client[database_name]
except InvalidName as ex:
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chovanecm/sacredboard | sacredboard/app/data/pymongo/genericdao.py | GenericDAO._get_collection | def _get_collection(self, collection_name):
"""
Get PyMongo client pointing to the current DB and the given collection.
:return: MongoDB client of the current database and given collection.
:raise DataSourceError
"""
try:
return self._database[collection_name... | python | def _get_collection(self, collection_name):
"""
Get PyMongo client pointing to the current DB and the given collection.
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:raise DataSourceError
"""
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chovanecm/sacredboard | sacredboard/app/data/pymongo/rundao.py | MongoRunDAO.get | def get(self, run_id):
"""
Get a single run from the database.
:param run_id: The ID of the run.
:return: The whole object from the database.
:raise NotFoundError when not found
"""
id = self._parse_id(run_id)
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"""
Get a single run from the database.
:param run_id: The ID of the run.
:return: The whole object from the database.
:raise NotFoundError when not found
"""
id = self._parse_id(run_id)
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chovanecm/sacredboard | sacredboard/app/data/pymongo/rundao.py | MongoRunDAO._apply_sort | def _apply_sort(cursor, sort_by, sort_direction):
"""
Apply sort to a cursor.
:param cursor: The cursor to apply sort on.
:param sort_by: The field name to sort by.
:param sort_direction: The direction to sort, "asc" or "desc".
:return:
"""
if sort_direc... | python | def _apply_sort(cursor, sort_by, sort_direction):
"""
Apply sort to a cursor.
:param cursor: The cursor to apply sort on.
:param sort_by: The field name to sort by.
:param sort_direction: The direction to sort, "asc" or "desc".
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chovanecm/sacredboard | sacredboard/app/data/pymongo/rundao.py | MongoRunDAO._to_mongo_query | def _to_mongo_query(query):
"""
Convert the query received by the Sacred Web API to a MongoDB query.
Takes a query in format
{"type": "and", "filters": [
{"field": "host.hostname", "operator": "==", "value": "ntbacer"},
{"type": "or", "filters": [
{"field":... | python | def _to_mongo_query(query):
"""
Convert the query received by the Sacred Web API to a MongoDB query.
Takes a query in format
{"type": "and", "filters": [
{"field": "host.hostname", "operator": "==", "value": "ntbacer"},
{"type": "or", "filters": [
{"field":... | [
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chovanecm/sacredboard | sacredboard/app/data/pymongo/rundao.py | MongoRunDAO._simple_clause_to_query | def _simple_clause_to_query(clause):
"""
Convert a clause from the Sacred Web API format to the MongoDB format.
:param clause: A clause to be converted. It must have "field",
"operator" and "value" fields.
:return: A MongoDB clause.
"""
# It's a regular clause
... | python | def _simple_clause_to_query(clause):
"""
Convert a clause from the Sacred Web API format to the MongoDB format.
:param clause: A clause to be converted. It must have "field",
"operator" and "value" fields.
:return: A MongoDB clause.
"""
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chovanecm/sacredboard | sacredboard/app/data/pymongo/rundao.py | MongoRunDAO._status_filter_to_query | def _status_filter_to_query(clause):
"""
Convert a clause querying for an experiment state RUNNING or DEAD.
Queries that check for experiment state RUNNING and DEAD need to be
replaced by the logic that decides these two states as both of them
are stored in the Mongo Database as... | python | def _status_filter_to_query(clause):
"""
Convert a clause querying for an experiment state RUNNING or DEAD.
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chovanecm/sacredboard | sacredboard/app/data/pymongo/rundao.py | MongoRunDAO.delete | def delete(self, run_id):
"""
Delete run with the given id from the backend.
:param run_id: Id of the run to delete.
:raise NotImplementedError If not supported by the backend.
:raise DataSourceError General data source error.
:raise NotFoundError The run was not found. ... | python | def delete(self, run_id):
"""
Delete run with the given id from the backend.
:param run_id: Id of the run to delete.
:raise NotImplementedError If not supported by the backend.
:raise DataSourceError General data source error.
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chovanecm/sacredboard | sacredboard/bootstrap.py | add_mongo_config | def add_mongo_config(app, simple_connection_string,
mongo_uri, collection_name):
"""
Configure the application to use MongoDB.
:param app: Flask application
:param simple_connection_string:
Expects host:port:database_name or database_name
Mutally_exc... | python | def add_mongo_config(app, simple_connection_string,
mongo_uri, collection_name):
"""
Configure the application to use MongoDB.
:param app: Flask application
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chovanecm/sacredboard | sacredboard/bootstrap.py | add_mongo_config_simple | def add_mongo_config_simple(app, connection_string, collection_name):
"""
Configure the app to use MongoDB.
:param app: Flask Application
:type app: Flask
:param connection_string: in format host:port:database or database
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:type connection_string: str
:param co... | python | def add_mongo_config_simple(app, connection_string, collection_name):
"""
Configure the app to use MongoDB.
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:type app: Flask
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chovanecm/sacredboard | sacredboard/bootstrap.py | add_mongo_config_with_uri | def add_mongo_config_with_uri(app, connection_string_uri,
database_name, collection_name):
"""
Configure PyMongo with a MongoDB connection string.
:param app: Flask application
:param connection_string_uri: MongoDB connection string
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chovanecm/sacredboard | sacredboard/app/process/tensorboard.py | stop_all_tensorboards | def stop_all_tensorboards():
"""Terminate all TensorBoard instances."""
for process in Process.instances:
print("Process '%s', running %d" % (process.command[0],
process.is_running()))
if process.is_running() and process.command[0] == "tensorboard":
... | python | def stop_all_tensorboards():
"""Terminate all TensorBoard instances."""
for process in Process.instances:
print("Process '%s', running %d" % (process.command[0],
process.is_running()))
if process.is_running() and process.command[0] == "tensorboard":
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chovanecm/sacredboard | sacredboard/app/process/tensorboard.py | run_tensorboard | def run_tensorboard(logdir, listen_on="0.0.0.0", port=0, tensorboard_args=None, timeout=10):
"""
Launch a new TensorBoard instance.
:param logdir: Path to a TensorFlow summary directory
:param listen_on: The IP address TensorBoard should listen on.
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:param logdir: Path to a TensorFlow summary directory
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chovanecm/sacredboard | sacredboard/app/process/tensorboard.py | parse_port_from_tensorboard_output | def parse_port_from_tensorboard_output(tensorboard_output: str) -> int:
"""
Parse tensorboard port from its outputted message.
:param tensorboard_output: Output message of Tensorboard
in format TensorBoard 1.8.0 at http://martin-VirtualBox:36869
:return: Returns the port TensorBoard is listening on... | python | def parse_port_from_tensorboard_output(tensorboard_output: str) -> int:
"""
Parse tensorboard port from its outputted message.
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chovanecm/sacredboard | sacredboard/app/data/pymongo/mongodb.py | PyMongoDataAccess.connect | def connect(self):
"""Initialize the database connection."""
self._client = self._create_client()
self._db = getattr(self._client, self._db_name)
self._generic_dao = GenericDAO(self._client, self._db_name) | python | def connect(self):
"""Initialize the database connection."""
self._client = self._create_client()
self._db = getattr(self._client, self._db_name)
self._generic_dao = GenericDAO(self._client, self._db_name) | [
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chovanecm/sacredboard | sacredboard/app/data/pymongo/mongodb.py | PyMongoDataAccess.build_data_access | def build_data_access(host, port, database_name, collection_name):
"""
Create data access gateway.
:param host: The database server to connect to.
:type host: str
:param port: Database port.
:type port: int
:param database_name: Database name.
:type datab... | python | def build_data_access(host, port, database_name, collection_name):
"""
Create data access gateway.
:param host: The database server to connect to.
:type host: str
:param port: Database port.
:type port: int
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chovanecm/sacredboard | sacredboard/app/webapi/routes.py | run_tensorboard | def run_tensorboard(run_id, tflog_id):
"""Launch TensorBoard for a given run ID and log ID of that run."""
data = current_app.config["data"]
# optimisticaly suppose the run exists...
run = data.get_run_dao().get(run_id)
base_dir = Path(run["experiment"]["base_dir"])
log_dir = Path(run["info"]["t... | python | def run_tensorboard(run_id, tflog_id):
"""Launch TensorBoard for a given run ID and log ID of that run."""
data = current_app.config["data"]
# optimisticaly suppose the run exists...
run = data.get_run_dao().get(run_id)
base_dir = Path(run["experiment"]["base_dir"])
log_dir = Path(run["info"]["t... | [
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chovanecm/sacredboard | sacredboard/app/data/pymongo/metricsdao.py | MongoMetricsDAO.get | def get(self, run_id, metric_id):
"""
Read a metric of the given id and run.
The returned object has the following format (timestamps are datetime
objects).
.. code::
{"steps": [0,1,20,40,...],
"timestamps": [timestamp1,timestamp2,timestamp3,...],
... | python | def get(self, run_id, metric_id):
"""
Read a metric of the given id and run.
The returned object has the following format (timestamps are datetime
objects).
.. code::
{"steps": [0,1,20,40,...],
"timestamps": [timestamp1,timestamp2,timestamp3,...],
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chovanecm/sacredboard | sacredboard/app/data/pymongo/metricsdao.py | MongoMetricsDAO.delete | def delete(self, run_id):
"""
Delete all metrics belonging to the given run.
:param run_id: ID of the Run that the metric belongs to.
"""
self.generic_dao.delete_record(
self.metrics_collection_name,
{"run_id": self._parse_run_id(run_id)}) | python | def delete(self, run_id):
"""
Delete all metrics belonging to the given run.
:param run_id: ID of the Run that the metric belongs to.
"""
self.generic_dao.delete_record(
self.metrics_collection_name,
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chovanecm/sacredboard | sacredboard/app/business/runfacade.py | RunFacade.delete_run | def delete_run(self, run_id):
"""
Delete run of the given run_id.
:raise NotImplementedError If not supported by the backend.
:raise DataSourceError General data source error.
:raise NotFoundError The run was not found. (Some backends may succeed even if the run does not exist.
... | python | def delete_run(self, run_id):
"""
Delete run of the given run_id.
:raise NotImplementedError If not supported by the backend.
:raise DataSourceError General data source error.
:raise NotFoundError The run was not found. (Some backends may succeed even if the run does not exist.
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chovanecm/sacredboard | sacredboard/app/data/filestorage/rundao.py | FileStoreRunDAO.get_runs | def get_runs(self, sort_by=None, sort_direction=None, start=0, limit=None, query={"type": "and", "filters": []}):
"""
Return all runs in the file store.
If a run is corrupt, e.g. missing files, it is skipped.
:param sort_by: NotImplemented
:param sort_direction: NotImplemented... | python | def get_runs(self, sort_by=None, sort_direction=None, start=0, limit=None, query={"type": "and", "filters": []}):
"""
Return all runs in the file store.
If a run is corrupt, e.g. missing files, it is skipped.
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chovanecm/sacredboard | sacredboard/app/data/filestorage/rundao.py | FileStoreRunDAO.get | def get(self, run_id):
"""
Return the run associated with a particular `run_id`.
:param run_id:
:return: dict
:raises FileNotFoundError
"""
config = _read_json(_path_to_config(self.directory, run_id))
run = _read_json(_path_to_run(self.directory, run_id))... | python | def get(self, run_id):
"""
Return the run associated with a particular `run_id`.
:param run_id:
:return: dict
:raises FileNotFoundError
"""
config = _read_json(_path_to_config(self.directory, run_id))
run = _read_json(_path_to_run(self.directory, run_id))... | [
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chovanecm/sacredboard | sacredboard/app/webapi/metrics.py | get_metric | def get_metric(run_id, metric_id):
"""
Get a specific Sacred metric from the database.
Returns a JSON response or HTTP 404 if not found.
Issue: https://github.com/chovanecm/sacredboard/issues/58
"""
data = current_app.config["data"] # type: DataStorage
dao = data.get_metrics_dao()
metr... | python | def get_metric(run_id, metric_id):
"""
Get a specific Sacred metric from the database.
Returns a JSON response or HTTP 404 if not found.
Issue: https://github.com/chovanecm/sacredboard/issues/58
"""
data = current_app.config["data"] # type: DataStorage
dao = data.get_metrics_dao()
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chovanecm/sacredboard | sacredboard/app/webapi/wsgi_server.py | ServerRunner.initialize | def initialize(self, app: Flask, app_config):
"""
Prepare the server to run and determine the port.
:param app: The Flask Application.
:param app_config: Configuration dictionary. This module uses the `debug`
(`True`/`False`) and `http.port` attributes.
"""
debug... | python | def initialize(self, app: Flask, app_config):
"""
Prepare the server to run and determine the port.
:param app: The Flask Application.
:param app_config: Configuration dictionary. This module uses the `debug`
(`True`/`False`) and `http.port` attributes.
"""
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chovanecm/sacredboard | sacredboard/app/webapi/runs.py | api_run_delete | def api_run_delete(run_id):
"""Delete the given run and corresponding entities."""
data = current_app.config["data"] # type: DataStorage
RunFacade(data).delete_run(run_id)
return "DELETED run %s" % run_id | python | def api_run_delete(run_id):
"""Delete the given run and corresponding entities."""
data = current_app.config["data"] # type: DataStorage
RunFacade(data).delete_run(run_id)
return "DELETED run %s" % run_id | [
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chovanecm/sacredboard | sacredboard/app/webapi/runs.py | api_run_get | def api_run_get(run_id):
"""Return a single run as a JSON object."""
data = current_app.config["data"]
run = data.get_run_dao().get(run_id)
records_total = 1 if run is not None else 0
if records_total == 0:
return Response(
render_template(
"api/error.js",
... | python | def api_run_get(run_id):
"""Return a single run as a JSON object."""
data = current_app.config["data"]
run = data.get_run_dao().get(run_id)
records_total = 1 if run is not None else 0
if records_total == 0:
return Response(
render_template(
"api/error.js",
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chovanecm/sacredboard | sacredboard/app/webapi/runs.py | parse_int_arg | def parse_int_arg(name, default):
"""Return a given URL parameter as int or return the default value."""
return default if request.args.get(name) is None \
else int(request.args.get(name)) | python | def parse_int_arg(name, default):
"""Return a given URL parameter as int or return the default value."""
return default if request.args.get(name) is None \
else int(request.args.get(name)) | [
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chovanecm/sacredboard | sacredboard/app/webapi/runs.py | parse_query_filter | def parse_query_filter():
"""Parse the Run query filter from the URL as a dictionary."""
query_string = request.args.get("queryFilter")
if query_string is None:
return {"type": "and", "filters": []}
query = json.loads(query_string)
assert type(query) == dict
assert type(query.get("type")... | python | def parse_query_filter():
"""Parse the Run query filter from the URL as a dictionary."""
query_string = request.args.get("queryFilter")
if query_string is None:
return {"type": "and", "filters": []}
query = json.loads(query_string)
assert type(query) == dict
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chovanecm/sacredboard | sacredboard/app/webapi/runs.py | get_runs | def get_runs():
"""Get all runs, sort it and return a response."""
data = current_app.config["data"]
draw = parse_int_arg("draw", 1)
start = parse_int_arg("start", 0)
length = parse_int_arg("length", -1)
length = length if length >= 0 else None
order_column = request.args.get("order[0][colum... | python | def get_runs():
"""Get all runs, sort it and return a response."""
data = current_app.config["data"]
draw = parse_int_arg("draw", 1)
start = parse_int_arg("start", 0)
length = parse_int_arg("length", -1)
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chovanecm/sacredboard | sacredboard/app/data/filestorage/filesdao.py | FileStoreFilesDAO.get | def get(self, file_id: str) -> [typing.BinaryIO, str, datetime.datetime]:
"""Return the file identified by a file_id string, its file name and upload date."""
raise NotImplementedError("Downloading files for downloading files in FileStore has not been implemented yet.") | python | def get(self, file_id: str) -> [typing.BinaryIO, str, datetime.datetime]:
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chovanecm/sacredboard | sacredboard/app/config/jinja_filters.py | timediff | def timediff(time):
"""Return the difference in seconds between now and the given time."""
now = datetime.datetime.utcnow()
diff = now - time
diff_sec = diff.total_seconds()
return diff_sec | python | def timediff(time):
"""Return the difference in seconds between now and the given time."""
now = datetime.datetime.utcnow()
diff = now - time
diff_sec = diff.total_seconds()
return diff_sec | [
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chovanecm/sacredboard | sacredboard/app/config/jinja_filters.py | last_line | def last_line(text):
"""
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:type text: str
:return:
:rtype: str
"""
last_line_of_text = ""
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last_line_start = te... | python | def last_line(text):
"""
Get the last meaningful line of the text, that is the last non-empty line.
:param text: Text to search the last line
:type text: str
:return:
:rtype: str
"""
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chovanecm/sacredboard | sacredboard/app/config/jinja_filters.py | dump_json | def dump_json(obj):
"""Dump Python object as JSON string."""
return simplejson.dumps(obj, ignore_nan=True, default=json_util.default) | python | def dump_json(obj):
"""Dump Python object as JSON string."""
return simplejson.dumps(obj, ignore_nan=True, default=json_util.default) | [
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chovanecm/sacredboard | sacredboard/app/process/process.py | Process.terminate | def terminate(self, wait=False):
"""Terminate the process."""
if self.proc is not None:
self.proc.stdout.close()
try:
self.proc.terminate()
except ProcessLookupError:
pass
if wait:
self.proc.wait() | python | def terminate(self, wait=False):
"""Terminate the process."""
if self.proc is not None:
self.proc.stdout.close()
try:
self.proc.terminate()
except ProcessLookupError:
pass
if wait:
self.proc.wait() | [
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chovanecm/sacredboard | sacredboard/app/process/process.py | Process.terminate_all | def terminate_all(wait=False):
"""
Terminate all processes.
:param wait: Wait for each to terminate
:type wait: bool
:return:
:rtype:
"""
for instance in Process.instances:
if instance.is_running():
instance.terminate(wait) | python | def terminate_all(wait=False):
"""
Terminate all processes.
:param wait: Wait for each to terminate
:type wait: bool
:return:
:rtype:
"""
for instance in Process.instances:
if instance.is_running():
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noahbenson/neuropythy | neuropythy/commands/atlas.py | calc_worklog | def calc_worklog(stdout=Ellipsis, stderr=Ellipsis, verbose=False):
'''
calc_worklog constructs the worklog from the stdout, stderr, stdin, and verbose arguments.
'''
try: cols = int(os.environ['COLUMNS'])
except Exception: cols = 80
return pimms.worklog(columns=cols, stdout=stdout, stderr=stderr... | python | def calc_worklog(stdout=Ellipsis, stderr=Ellipsis, verbose=False):
'''
calc_worklog constructs the worklog from the stdout, stderr, stdin, and verbose arguments.
'''
try: cols = int(os.environ['COLUMNS'])
except Exception: cols = 80
return pimms.worklog(columns=cols, stdout=stdout, stderr=stderr... | [
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noahbenson/neuropythy | neuropythy/commands/atlas.py | calc_subject | def calc_subject(argv, worklog):
'''
calc_subject converts a subject_id into a subject object.
Afferent parameters:
@ argv
The FreeSurfer subject name(s), HCP subject ID(s), or path(s) of the subject(s) to which the
atlas should be applied.
'''
if len(argv) == 0: raise ValueEr... | python | def calc_subject(argv, worklog):
'''
calc_subject converts a subject_id into a subject object.
Afferent parameters:
@ argv
The FreeSurfer subject name(s), HCP subject ID(s), or path(s) of the subject(s) to which the
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'''
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noahbenson/neuropythy | neuropythy/commands/atlas.py | calc_atlases | def calc_atlases(worklog, atlas_subject_id='fsaverage'):
'''
cacl_atlases finds all available atlases in the possible subject directories of the given atlas
subject.
In order to be a template, it must either be a collection of files (either mgh/mgz or FreeSurfer
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'''
cacl_atlases finds all available atlases in the possible subject directories of the given atlas
subject.
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noahbenson/neuropythy | neuropythy/commands/atlas.py | calc_filemap | def calc_filemap(atlas_properties, subject, atlas_version_tags, worklog,
output_path=None, overwrite=False, output_format='mgz', create_directory=False):
'''
calc_filemap is a calculator that converts the atlas properties nested-map into a single-depth
map whose keys are filenames and whose... | python | def calc_filemap(atlas_properties, subject, atlas_version_tags, worklog,
output_path=None, overwrite=False, output_format='mgz', create_directory=False):
'''
calc_filemap is a calculator that converts the atlas properties nested-map into a single-depth
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noahbenson/neuropythy | neuropythy/mri/images.py | ImageType.parse_type | def parse_type(self, hdat, dataobj=None):
'''
Parses the dtype out of the header data or the array, depending on which is given; if both,
then the header-data overrides the array; if neither, then np.float32.
'''
try: dataobj = dataobj.dataobj
except Exception: pass
... | python | def parse_type(self, hdat, dataobj=None):
'''
Parses the dtype out of the header data or the array, depending on which is given; if both,
then the header-data overrides the array; if neither, then np.float32.
'''
try: dataobj = dataobj.dataobj
except Exception: pass
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noahbenson/neuropythy | neuropythy/mri/images.py | ImageType.parse_affine | def parse_affine(self, hdat, dataobj=None):
'''
Parses the affine out of the given header data and yields it.
'''
if 'affine' in hdat: return to_affine(hdat['affine'])
else: return to_affine(self.default_affine()) | python | def parse_affine(self, hdat, dataobj=None):
'''
Parses the affine out of the given header data and yields it.
'''
if 'affine' in hdat: return to_affine(hdat['affine'])
else: return to_affine(self.default_affine()) | [
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noahbenson/neuropythy | neuropythy/registration/core.py | _parse_field_arguments | def _parse_field_arguments(arg, faces, edges, coords):
'''See mesh_register.'''
if not hasattr(arg, '__iter__'):
raise RuntimeError('field argument must be a list-like collection of instructions')
pot = [_parse_field_argument(instruct, faces, edges, coords) for instruct in arg]
# make a new Pote... | python | def _parse_field_arguments(arg, faces, edges, coords):
'''See mesh_register.'''
if not hasattr(arg, '__iter__'):
raise RuntimeError('field argument must be a list-like collection of instructions')
pot = [_parse_field_argument(instruct, faces, edges, coords) for instruct in arg]
# make a new Pote... | [
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noahbenson/neuropythy | neuropythy/graphics/core.py | retino_colors | def retino_colors(vcolorfn, *args, **kwargs):
'See eccen_colors, angle_colors, sigma_colors, and varea_colors.'
if len(args) == 0:
def _retino_color_pass(*args, **new_kwargs):
return retino_colors(vcolorfn, *args,
**{k:(new_kwargs[k] if k in new_kwargs else k... | python | def retino_colors(vcolorfn, *args, **kwargs):
'See eccen_colors, angle_colors, sigma_colors, and varea_colors.'
if len(args) == 0:
def _retino_color_pass(*args, **new_kwargs):
return retino_colors(vcolorfn, *args,
**{k:(new_kwargs[k] if k in new_kwargs else k... | [
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noahbenson/neuropythy | neuropythy/hcp/files.py | _load_fsLR_atlasroi | def _load_fsLR_atlasroi(filename, data):
'''
Loads the appropriate atlas for the given data; data may point to a cifti file whose atlas is
needed or to an atlas file.
'''
(fdir, fnm) = os.path.split(filename)
fparts = fnm.split('.')
atl = fparts[-3]
if atl in _load_fsLR_atlasroi.atlases:... | python | def _load_fsLR_atlasroi(filename, data):
'''
Loads the appropriate atlas for the given data; data may point to a cifti file whose atlas is
needed or to an atlas file.
'''
(fdir, fnm) = os.path.split(filename)
fparts = fnm.split('.')
atl = fparts[-3]
if atl in _load_fsLR_atlasroi.atlases:... | [
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noahbenson/neuropythy | neuropythy/hcp/files.py | _load_fsLR_atlasroi_for_size | def _load_fsLR_atlasroi_for_size(size, sid=100610):
'''
Loads the appropriate atlas for the given size of data; size should be the number of stored
vertices and sub-corticel voxels stored in the cifti file.
'''
from .core import subject
# it doesn't matter what subject we request, so just use an... | python | def _load_fsLR_atlasroi_for_size(size, sid=100610):
'''
Loads the appropriate atlas for the given size of data; size should be the number of stored
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'''
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noahbenson/neuropythy | neuropythy/commands/register_retinotopy.py | calc_arguments | def calc_arguments(args):
'''
calc_arguments is a calculator that parses the command-line arguments for the registration
command and produces the subject, the model, the log function, and the additional options.
'''
(args, opts) = _retinotopy_parser(args)
# We do some of the options right here..... | python | def calc_arguments(args):
'''
calc_arguments is a calculator that parses the command-line arguments for the registration
command and produces the subject, the model, the log function, and the additional options.
'''
(args, opts) = _retinotopy_parser(args)
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noahbenson/neuropythy | neuropythy/commands/register_retinotopy.py | calc_retinotopy | def calc_retinotopy(note, error, subject, clean, run_lh, run_rh,
invert_rh_angle, max_in_eccen, min_in_eccen,
angle_lh_file, theta_lh_file,
eccen_lh_file, rho_lh_file,
weight_lh_file, radius_lh_file,
angle_rh_file, theta... | python | def calc_retinotopy(note, error, subject, clean, run_lh, run_rh,
invert_rh_angle, max_in_eccen, min_in_eccen,
angle_lh_file, theta_lh_file,
eccen_lh_file, rho_lh_file,
weight_lh_file, radius_lh_file,
angle_rh_file, theta... | [
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noahbenson/neuropythy | neuropythy/commands/register_retinotopy.py | calc_registrations | def calc_registrations(note, error, cortices, model, model_sym,
weight_min, scale, prior, max_out_eccen, max_steps, max_step_size,
radius_weight, field_sign_weight, resample, invert_rh_angle,
part_vol_correct):
'''
calc_registrations is the ca... | python | def calc_registrations(note, error, cortices, model, model_sym,
weight_min, scale, prior, max_out_eccen, max_steps, max_step_size,
radius_weight, field_sign_weight, resample, invert_rh_angle,
part_vol_correct):
'''
calc_registrations is the ca... | [
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noahbenson/neuropythy | neuropythy/commands/register_retinotopy.py | save_surface_files | def save_surface_files(note, error, registrations, subject,
no_surf_export, no_reg_export, surface_format, surface_path,
angle_tag, eccen_tag, label_tag, radius_tag, registration_name):
'''
save_surface_files is the calculator that saves the registration data out as... | python | def save_surface_files(note, error, registrations, subject,
no_surf_export, no_reg_export, surface_format, surface_path,
angle_tag, eccen_tag, label_tag, radius_tag, registration_name):
'''
save_surface_files is the calculator that saves the registration data out as... | [
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noahbenson/neuropythy | neuropythy/commands/register_retinotopy.py | save_volume_files | def save_volume_files(note, error, registrations, subject,
no_vol_export, volume_format, volume_path,
angle_tag, eccen_tag, label_tag, radius_tag):
'''
save_volume_files is the calculator that saves the registration data out as volume files,
which are put back in ... | python | def save_volume_files(note, error, registrations, subject,
no_vol_export, volume_format, volume_path,
angle_tag, eccen_tag, label_tag, radius_tag):
'''
save_volume_files is the calculator that saves the registration data out as volume files,
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noahbenson/neuropythy | neuropythy/vision/retinotopy.py | calc_empirical_retinotopy | def calc_empirical_retinotopy(cortex,
polar_angle=None, eccentricity=None, pRF_radius=None, weight=None,
eccentricity_range=None, weight_min=0,
invert_rh_angle=False,
partial_voluming_correction=False... | python | def calc_empirical_retinotopy(cortex,
polar_angle=None, eccentricity=None, pRF_radius=None, weight=None,
eccentricity_range=None, weight_min=0,
invert_rh_angle=False,
partial_voluming_correction=False... | [
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Required afferent parameters:
@ cortex Must be the cortex object that is to be registered to the model of retinotopy.
Optional afferent parameters:
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noahbenson/neuropythy | neuropythy/vision/retinotopy.py | calc_model | def calc_model(cortex, model_argument, model_hemi=Ellipsis, radius=np.pi/3):
'''
calc_model loads the appropriate model object given the model argument, which may given the name
of the model or a model object itself.
Required afferent parameters:
@ model_argument Must be either a RegisteredRetino... | python | def calc_model(cortex, model_argument, model_hemi=Ellipsis, radius=np.pi/3):
'''
calc_model loads the appropriate model object given the model argument, which may given the name
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noahbenson/neuropythy | neuropythy/vision/retinotopy.py | calc_anchors | def calc_anchors(preregistration_map, model, model_hemi,
scale=1, sigma=Ellipsis, radius_weight=0, field_sign_weight=0,
invert_rh_field_sign=False):
'''
calc_anchors is a calculator that creates a set of anchor instructions for a registration.
Required afferent parameters:... | python | def calc_anchors(preregistration_map, model, model_hemi,
scale=1, sigma=Ellipsis, radius_weight=0, field_sign_weight=0,
invert_rh_field_sign=False):
'''
calc_anchors is a calculator that creates a set of anchor instructions for a registration.
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noahbenson/neuropythy | neuropythy/vision/retinotopy.py | calc_registration | def calc_registration(preregistration_map, anchors,
max_steps=2000, max_step_size=0.05, method='random'):
'''
calc_registration is a calculator that creates the registration coordinates.
'''
# if max steps is a tuple (max, stride) then a trajectory is saved into
# the registere... | python | def calc_registration(preregistration_map, anchors,
max_steps=2000, max_step_size=0.05, method='random'):
'''
calc_registration is a calculator that creates the registration coordinates.
'''
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noahbenson/neuropythy | neuropythy/vision/retinotopy.py | calc_prediction | def calc_prediction(registered_map, preregistration_mesh, native_mesh, model):
'''
calc_registration_prediction is a pimms calculator that creates the both the prediction and the
registration_prediction, both of which are pimms itables including the fields 'polar_angle',
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'''
calc_registration_prediction is a pimms calculator that creates the both the prediction and the
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barnumbirr/coinmarketcap | coinmarketcap/core.py | Market.ticker | def ticker(self, currency="", **kwargs):
"""
This endpoint displays cryptocurrency ticker data in order of rank. The maximum
number of results per call is 100. Pagination is possible by using the
start and limit parameters.
GET /ticker/
Optional parameters:
(int) start - return results from rank [sta... | python | def ticker(self, currency="", **kwargs):
"""
This endpoint displays cryptocurrency ticker data in order of rank. The maximum
number of results per call is 100. Pagination is possible by using the
start and limit parameters.
GET /ticker/
Optional parameters:
(int) start - return results from rank [sta... | [
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number of results per call is 100. Pagination is possible by using the
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GET /ticker/
Optional parameters:
(int) start - return results from rank [start] and above (default is 1)
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HHammond/PrettyPandas | prettypandas/formatters.py | _surpress_formatting_errors | def _surpress_formatting_errors(fn):
"""
I know this is dangerous and the wrong way to solve the problem, but when
using both row and columns summaries it's easier to just swallow errors
so users can format their tables how they need.
"""
@wraps(fn)
def inner(*args, **kwargs):
try:
... | python | def _surpress_formatting_errors(fn):
"""
I know this is dangerous and the wrong way to solve the problem, but when
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so users can format their tables how they need.
"""
@wraps(fn)
def inner(*args, **kwargs):
try:
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HHammond/PrettyPandas | prettypandas/formatters.py | _format_numer | def _format_numer(number_format, prefix='', suffix=''):
"""Format a number to a string."""
@_surpress_formatting_errors
def inner(v):
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"""Format a number to a string."""
@_surpress_formatting_errors
def inner(v):
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HHammond/PrettyPandas | prettypandas/formatters.py | as_percent | def as_percent(precision=2, **kwargs):
"""Convert number to percentage string.
Parameters:
-----------
:param v: numerical value to be converted
:param precision: int
decimal places to round to
"""
if not isinstance(precision, Integral):
raise TypeError("Precision must be an... | python | def as_percent(precision=2, **kwargs):
"""Convert number to percentage string.
Parameters:
-----------
:param v: numerical value to be converted
:param precision: int
decimal places to round to
"""
if not isinstance(precision, Integral):
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HHammond/PrettyPandas | prettypandas/formatters.py | as_unit | def as_unit(unit, precision=2, location='suffix'):
"""Convert value to unit.
Parameters:
-----------
:param v: numerical value
:param unit: string of unit
:param precision: int
decimal places to round to
:param location:
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"""Convert value to unit.
Parameters:
-----------
:param v: numerical value
:param unit: string of unit
:param precision: int
decimal places to round to
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HHammond/PrettyPandas | prettypandas/summarizer.py | Aggregate.apply | def apply(self, df):
"""Compute aggregate over DataFrame"""
if self.subset:
if _axis_is_rows(self.axis):
df = df[self.subset]
if _axis_is_cols(self.axis):
df = df.loc[self.subset]
result = df.agg(self.func, axis=self.axis, *self.args, **s... | python | def apply(self, df):
"""Compute aggregate over DataFrame"""
if self.subset:
if _axis_is_rows(self.axis):
df = df[self.subset]
if _axis_is_cols(self.axis):
df = df.loc[self.subset]
result = df.agg(self.func, axis=self.axis, *self.args, **s... | [
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HHammond/PrettyPandas | prettypandas/summarizer.py | Formatter.apply | def apply(self, styler):
"""Apply Summary over Pandas Styler"""
return styler.format(self.formatter, *self.args, **self.kwargs) | python | def apply(self, styler):
"""Apply Summary over Pandas Styler"""
return styler.format(self.formatter, *self.args, **self.kwargs) | [
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HHammond/PrettyPandas | prettypandas/summarizer.py | PrettyPandas._apply_summaries | def _apply_summaries(self):
"""Add all summary rows and columns."""
def as_frame(r):
if isinstance(r, pd.Series):
return r.to_frame()
else:
return r
df = self.data
if df.index.nlevels > 1:
raise ValueError(
... | python | def _apply_summaries(self):
"""Add all summary rows and columns."""
def as_frame(r):
if isinstance(r, pd.Series):
return r.to_frame()
else:
return r
df = self.data
if df.index.nlevels > 1:
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HHammond/PrettyPandas | prettypandas/summarizer.py | PrettyPandas.style | def style(self):
"""Add summaries and convert to Pandas Styler"""
row_titles = [a.title for a in self._cleaned_summary_rows]
col_titles = [a.title for a in self._cleaned_summary_cols]
row_ix = pd.IndexSlice[row_titles, :]
col_ix = pd.IndexSlice[:, col_titles]
def handle_... | python | def style(self):
"""Add summaries and convert to Pandas Styler"""
row_titles = [a.title for a in self._cleaned_summary_rows]
col_titles = [a.title for a in self._cleaned_summary_cols]
row_ix = pd.IndexSlice[row_titles, :]
col_ix = pd.IndexSlice[:, col_titles]
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HHammond/PrettyPandas | prettypandas/summarizer.py | PrettyPandas.summary | def summary(self,
func=methodcaller('sum'),
title='Total',
axis=0,
subset=None,
*args,
**kwargs):
"""Add multiple summary rows or columns to the dataframe.
Parameters
----------
:param func: ... | python | def summary(self,
func=methodcaller('sum'),
title='Total',
axis=0,
subset=None,
*args,
**kwargs):
"""Add multiple summary rows or columns to the dataframe.
Parameters
----------
:param func: ... | [
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HHammond/PrettyPandas | prettypandas/summarizer.py | PrettyPandas.as_percent | def as_percent(self, precision=2, *args, **kwargs):
"""Format subset as percentages
:param precision: Decimal precision
:param subset: Pandas subset
"""
f = Formatter(as_percent(precision), args, kwargs)
return self._add_formatter(f) | python | def as_percent(self, precision=2, *args, **kwargs):
"""Format subset as percentages
:param precision: Decimal precision
:param subset: Pandas subset
"""
f = Formatter(as_percent(precision), args, kwargs)
return self._add_formatter(f) | [
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HHammond/PrettyPandas | prettypandas/summarizer.py | PrettyPandas.as_currency | def as_currency(self, currency='USD', locale=LOCALE_OBJ, *args, **kwargs):
"""Format subset as currency
:param currency: Currency
:param locale: Babel locale for currency formatting
:param subset: Pandas subset
"""
f = Formatter(
as_currency(currency=currency... | python | def as_currency(self, currency='USD', locale=LOCALE_OBJ, *args, **kwargs):
"""Format subset as currency
:param currency: Currency
:param locale: Babel locale for currency formatting
:param subset: Pandas subset
"""
f = Formatter(
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HHammond/PrettyPandas | prettypandas/summarizer.py | PrettyPandas.as_unit | def as_unit(self, unit, location='suffix', *args, **kwargs):
"""Format subset as with units
:param unit: string to use as unit
:param location: prefix or suffix
:param subset: Pandas subset
"""
f = Formatter(
as_unit(unit, location=location),
args... | python | def as_unit(self, unit, location='suffix', *args, **kwargs):
"""Format subset as with units
:param unit: string to use as unit
:param location: prefix or suffix
:param subset: Pandas subset
"""
f = Formatter(
as_unit(unit, location=location),
args... | [
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TUT-ARG/sed_eval | sed_eval/sound_event.py | EventBasedMetrics.validate_onset | def validate_onset(reference_event, estimated_event, t_collar=0.200):
"""Validate estimated event based on event onset
Parameters
----------
reference_event : dict
Reference event.
estimated_event: dict
Estimated event.
t_collar : float > 0, sec... | python | def validate_onset(reference_event, estimated_event, t_collar=0.200):
"""Validate estimated event based on event onset
Parameters
----------
reference_event : dict
Reference event.
estimated_event: dict
Estimated event.
t_collar : float > 0, sec... | [
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