function_name stringlengths 1 63 | docstring stringlengths 50 5.89k | masked_code stringlengths 50 882k | implementation stringlengths 169 12.9k | start_line int32 1 14.6k | end_line int32 16 14.6k | file_content stringlengths 274 882k |
|---|---|---|---|---|---|---|
show_info | Show an info message to the user and log it
Args:
msg (str): User message to print on the console | #
# Copyright (c) 2021 Software AG, Darmstadt, Germany and/or its licensors
#
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apach... | def show_info(self, msg: str, *args, **kwargs):
"""Show an info message to the user and log it
Args:
msg (str): User message to print on the console
"""
if not self.verbose:
click.secho(msg)
logging.warning(msg, *args, **kwargs) | 201 | 210 | #
# Copyright (c) 2021 Software AG, Darmstadt, Germany and/or its licensors
#
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apach... |
show_warning | Show a warning to the user and log it
Args:
msg (str): User message to print on the console | #
# Copyright (c) 2021 Software AG, Darmstadt, Germany and/or its licensors
#
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apach... | def show_warning(self, msg: str, *args, **kwargs):
"""Show a warning to the user and log it
Args:
msg (str): User message to print on the console
"""
if not self.verbose:
click.secho(msg, fg="yellow")
logging.warning(msg, *args, **kwargs) | 212 | 221 | #
# Copyright (c) 2021 Software AG, Darmstadt, Germany and/or its licensors
#
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apach... |
regress | Runs a linear regression to decompose the dependent variable into the explanatory variables
returns an object of type statsmodel's RegressionResults on which you can call
.summary() to print a full summary
.params for the coefficients
.tvalues and .pvalues for the significance levels
.rsquared_adj and .rsqu... | import pandas as pd
import numpy as np
from numpy.linalg import inv
def get_ffme_returns():
"""
Load the Fama-French Dataset for the returns of the Top and Bottom Deciles by MarketCap
"""
me_m = pd.read_csv("data/Portfolios_Formed_on_ME_monthly_EW.csv",
header=0, index_col=0, na_... | def regress(dependent_variable, explanatory_variables, alpha=True):
"""
Runs a linear regression to decompose the dependent variable into the explanatory variables
returns an object of type statsmodel's RegressionResults on which you can call
.summary() to print a full summary
.params for the ... | 569 | 583 | import pandas as pd
import numpy as np
from numpy.linalg import inv
def get_ffme_returns():
"""
Load the Fama-French Dataset for the returns of the Top and Bottom Deciles by MarketCap
"""
me_m = pd.read_csv("data/Portfolios_Formed_on_ME_monthly_EW.csv",
header=0, index_col=0, na_... |
backtest_ws | Backtests a given weighting scheme, given some parameters:
r : asset returns to use to build the portfolio
estimation_window: the window to use to estimate parameters
weighting: the weighting scheme to use, must be a function that takes "r", and a variable number of keyword-value arguments | import pandas as pd
import numpy as np
from numpy.linalg import inv
def get_ffme_returns():
"""
Load the Fama-French Dataset for the returns of the Top and Bottom Deciles by MarketCap
"""
me_m = pd.read_csv("data/Portfolios_Formed_on_ME_monthly_EW.csv",
header=0, index_col=0, na_... | def backtest_ws(r, estimation_window=60, weighting=weight_ew, verbose=False, **kwargs):
"""
Backtests a given weighting scheme, given some parameters:
r : asset returns to use to build the portfolio
estimation_window: the window to use to estimate parameters
weighting: the weighting scheme to use, m... | 657 | 671 | import pandas as pd
import numpy as np
from numpy.linalg import inv
def get_ffme_returns():
"""
Load the Fama-French Dataset for the returns of the Top and Bottom Deciles by MarketCap
"""
me_m = pd.read_csv("data/Portfolios_Formed_on_ME_monthly_EW.csv",
header=0, index_col=0, na_... |
bl | # Computes the posterior expected returns based on
# the original black litterman reference model
#
# W.prior must be an N x 1 vector of weights, a Series
# Sigma.prior is an N x N covariance matrix, a DataFrame
# P must be a K x N matrix linking Q and the Assets, a DataFrame
# Q must be an K x 1 vector of views, a Se... | import pandas as pd
import numpy as np
from numpy.linalg import inv
def get_ffme_returns():
"""
Load the Fama-French Dataset for the returns of the Top and Bottom Deciles by MarketCap
"""
me_m = pd.read_csv("data/Portfolios_Formed_on_ME_monthly_EW.csv",
header=0, index_col=0, na_... | def bl(w_prior, sigma_prior, p, q,
omega=None,
delta=2.5, tau=.02):
"""
# Computes the posterior expected returns based on
# the original black litterman reference model
#
# W.prior must be an N x 1 vector of weights, a Series
# Sigma.prior is an N x N covariance matrix, a DataFrame... | 787 | 823 | import pandas as pd
import numpy as np
from numpy.linalg import inv
def get_ffme_returns():
"""
Load the Fama-French Dataset for the returns of the Top and Bottom Deciles by MarketCap
"""
me_m = pd.read_csv("data/Portfolios_Formed_on_ME_monthly_EW.csv",
header=0, index_col=0, na_... |
process_sources | Function that checks the news results and turn them into objects
Args:
sources_list: A list of dictionaries that contain sources details | import urllib.request,json
from .models import Sources, Articles
from datetime import datetime
#Getting api key
api_key = None
#Getting the news base url
# NEWS_API_KEY = None
# NEWS_API_BASE_URL = None
ARTICLE = None
def configure_request(app):
global api_key,NEWS_API_BASE_URL,NEWS_API_KEY,ARTICLE
api_key = ... | def process_sources(sources_list):
'''
Function that checks the news results and turn them into objects
Args:
sources_list: A list of dictionaries that contain sources details
'''
sources_result = []
for source_item in sources_list:
author = source_item.get('author')
... | 40 | 60 | import urllib.request,json
from .models import Sources, Articles
from datetime import datetime
#Getting api key
api_key = None
#Getting the news base url
# NEWS_API_KEY = None
# NEWS_API_BASE_URL = None
ARTICLE = None
def configure_request(app):
global api_key,NEWS_API_BASE_URL,NEWS_API_KEY,ARTICLE
api_key = ... |
post | Authenticate Customer (Sign In). Retrieves the authenticated
customer (a customer that matches the given email/password pair).
If used with an access token for Anonymous Sessions,
all orders and carts belonging to the anonymousId will be assigned to the newly created customer.
If a cart is is returned as part of the Cu... | # This file is automatically generated by the rmf-codegen project.
#
# The Python code generator is maintained by Lab Digital. If you want to
# contribute to this project then please do not edit this file directly
# but send a pull request to the Lab Digital fork of rmf-codegen at
# https://github.com/labd/rmf-codegen
... | def post(
self,
body: "CustomerSignin",
*,
headers: typing.Dict[str, str] = None,
options: typing.Dict[str, typing.Any] = None,
) -> typing.Optional["CustomerSignInResult"]:
"""Authenticate Customer (Sign In). Retrieves the authenticated
customer (a custom... | 30 | 63 | # This file is automatically generated by the rmf-codegen project.
#
# The Python code generator is maintained by Lab Digital. If you want to
# contribute to this project then please do not edit this file directly
# but send a pull request to the Lab Digital fork of rmf-codegen at
# https://github.com/labd/rmf-codegen
... |
__init__ | :param vpcId: 私有网络vpcId
:param subnetId: 子网subnetId
:param instanceVersion: es版本，当前支持5.6.9和6.5.4
:param instanceName: es集群名称，不可为空，只支持大小写字母、数字、英文下划线或者中划线，以字母开头且不能超过32位
:param azId: 可用区，各可用区编码请参考：https://docs.jdcloud.com/cn/jcs-for-elasticsearch/restrictions
:param instanceClass: 规格配置，规格代码请参考：https://docs.jdcloud.c... | # coding=utf8
# Copyright 2018 JDCLOUD.COM
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | def __init__(self, vpcId, subnetId, instanceVersion, instanceName, azId, instanceClass, ipVersion=None, dedicatedMaster=None, coordinating=None, autoSnapshot=None, authConfig=None):
"""
:param vpcId: 私有网络vpcId
:param subnetId: 子网subnetId
:param instanceVersion: es版本，当前支持5.6.9和6.5.... | 22 | 47 | # coding=utf8
# Copyright 2018 JDCLOUD.COM
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... |
tokenize | Tokenizes a piece of text into its word pieces.
This uses a greedy longest-match-first algorithm to perform tokenization
using the given vocabulary.
For example:
input = "unaffable"
output = ["un", "##aff", "##able"]
Args:
text: A single token or whitespace separated tokens. This should have
already been p... | # coding=utf-8
"""Tokenization classes."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import unicodedata
import six
import tensorflow as tf
import re
import warnings
warnings.filterwarnings('ignore')
def validate_case_matches_checkp... | def tokenize(self, text):
"""Tokenizes a piece of text into its word pieces.
This uses a greedy longest-match-first algorithm to perform tokenization
using the given vocabulary.
For example:
input = "unaffable"
output = ["un", "##aff", "##able"]
Args:
... | 296 | 347 | # coding=utf-8
"""Tokenization classes."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import unicodedata
import six
import tensorflow as tf
import re
import warnings
warnings.filterwarnings('ignore')
def validate_case_matches_checkp... |
pick_dump_format | Choose a supported wave dumping format
fmts is a list of formats that the chosen tool supports. Return the first
that we think is possible (e.g. not fsdb if Verdi is not installed). | # Copyright lowRISC contributors.
# Licensed under the Apache License, Version 2.0, see LICENSE for details.
# SPDX-License-Identifier: Apache-2.0
r"""
Class describing simulation configuration object
"""
import os
import shutil
import subprocess
import sys
from collections import OrderedDict
import logging as log
fr... | def pick_dump_format(fmts):
'''Choose a supported wave dumping format
fmts is a list of formats that the chosen tool supports. Return the first
that we think is possible (e.g. not fsdb if Verdi is not installed).
'''
assert fmts
fmt = fmts[0]
if fmt == 'fsdb' and not shutil.which('verdi'):... | 24 | 36 | # Copyright lowRISC contributors.
# Licensed under the Apache License, Version 2.0, see LICENSE for details.
# SPDX-License-Identifier: Apache-2.0
r"""
Class describing simulation configuration object
"""
import os
import shutil
import subprocess
import sys
from collections import OrderedDict
import logging as log
fr... |
_get_fixed_ip_address | Get a port's fixed ip address.
:param port_uuid: Neutron port id.
:param client: Neutron client instance.
:returns: Neutron port ip address.
:raises: FailedToGetIPAddressOnPort
:raises: InvalidIPv4Address | #
# Copyright 2014 OpenStack Foundation
# All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless req... | def _get_fixed_ip_address(self, port_uuid, client):
"""Get a port's fixed ip address.
:param port_uuid: Neutron port id.
:param client: Neutron client instance.
:returns: Neutron port ip address.
:raises: FailedToGetIPAddressOnPort
:raises: InvalidIPv4Address
... | 203 | 238 | #
# Copyright 2014 OpenStack Foundation
# All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless req... |
_get_port_ip_address | Get ip address of ironic port assigned by neutron.
:param task: a TaskManager instance.
:param port_uuid: ironic Node's port UUID.
:param client: Neutron client instance.
:returns: Neutron port ip address associated with Node's port.
:raises: FailedToGetIPAddressOnPort
:raises: InvalidIPv4Address | #
# Copyright 2014 OpenStack Foundation
# All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless req... | def _get_port_ip_address(self, task, port_uuid, client):
"""Get ip address of ironic port assigned by neutron.
:param task: a TaskManager instance.
:param port_uuid: ironic Node's port UUID.
:param client: Neutron client instance.
:returns: Neutron port ip address associate... | 240 | 261 | #
# Copyright 2014 OpenStack Foundation
# All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless req... |
get_ip_addresses | Get IP addresses for all ports in `task`.
:param task: a TaskManager instance.
:returns: List of IP addresses associated with task.ports. | #
# Copyright 2014 OpenStack Foundation
# All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless req... | def get_ip_addresses(self, task):
"""Get IP addresses for all ports in `task`.
:param task: a TaskManager instance.
:returns: List of IP addresses associated with task.ports.
"""
client = _build_client(task.context.auth_token)
failures = []
ip_addresses = []
... | 263 | 287 | #
# Copyright 2014 OpenStack Foundation
# All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless req... |
enumerate_cpu_counts | This program prints the number of CPU counts to benchmark on this machine.
We remove some percentage of CPU cores off the top for system / background processing. With
the CPUs that remain, we generate a list of evenly spaced worker counts. The list is limited
by the number of trials desired. This is meant to help us e... | # Copyright Materialize, Inc. All rights reserved.
#
# Use of this software is governed by the Business Source License
# included in the LICENSE file at the root of this repository.
#
# As of the Change Date specified in that file, in accordance with
# the Business Source License, use of this software will be governed
... | def enumerate_cpu_counts() -> typing.List[int]:
"""This program prints the number of CPU counts to benchmark on this machine.
We remove some percentage of CPU cores off the top for system / background processing. With
the CPUs that remain, we generate a list of evenly spaced worker counts. The list is limi... | 175 | 197 | # Copyright Materialize, Inc. All rights reserved.
#
# Use of this software is governed by the Business Source License
# included in the LICENSE file at the root of this repository.
#
# As of the Change Date specified in that file, in accordance with
# the Business Source License, use of this software will be governed
... |
get_rules | Get the rules governing the snapshot creation
Args:
rule_list: List of rules
Returns:
Rules object with attribute `rules`. See Rules object for detailed doc. | # Copyright (C) 2020 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""Generate rules for snapshoting"""
from ggrc.snapshotter.datastructures import Attr
class Types(object):
"""Get default types for snapshotting"""
# pylint: disable=too-few-public-methods
all = {... | def get_rules(rule_list=None):
"""Get the rules governing the snapshot creation
Args:
rule_list: List of rules
Returns:
Rules object with attribute `rules`. See Rules object for detailed doc.
"""
if not rule_list:
rule_list = DEFAULT_RULE_LIST
return Rules(rule_list) | 150 | 160 | # Copyright (C) 2020 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""Generate rules for snapshoting"""
from ggrc.snapshotter.datastructures import Attr
class Types(object):
"""Get default types for snapshotting"""
# pylint: disable=too-few-public-methods
all = {... |
__init__ | #**
#* Pubnub
#*
#* Init the Pubnub Client API
#*
#* @param string publish_key required key to send messages.
#* @param string subscribe_key required key to receive messages.
#* @param string secret_key optional key to sign messages.
#* @param boolean ssl required for 2048 bit encrypted messages.
#* @param string origi... | ## www.pubnub.com - PubNub Real-time push service in the cloud.
# coding=utf8
## PubNub Real-time Push APIs and Notifications Framework
## Copyright (c) 2010 Stephen Blum
## http://www.pubnub.com/
## -----------------------------------
## PubNub 3.0 Real-time Push Cloud API
## -----------------------------------
tr... | def __init__(
self,
publish_key,
subscribe_key,
secret_key = False,
ssl_on = False,
origin = 'pubsub.pubnub.com',
pres_uuid = None
) :
"""
#**
#* Pubnub
#*
#* Init the Pubnub Client API
#*
#* @param s... | 21 | 63 | ## www.pubnub.com - PubNub Real-time push service in the cloud.
# coding=utf8
## PubNub Real-time Push APIs and Notifications Framework
## Copyright (c) 2010 Stephen Blum
## http://www.pubnub.com/
## -----------------------------------
## PubNub 3.0 Real-time Push Cloud API
## -----------------------------------
tr... |
publish | #**
#* Publish
#*
#* Send a message to a channel.
#*
#* @param array args with channel and message.
#* @return array success information.
#**
## Publish Example
info = pubnub.publish({
'channel' : 'hello_world',
'message' : {
'some_text' : 'Hello my World'
}
})
print(info) | ## www.pubnub.com - PubNub Real-time push service in the cloud.
# coding=utf8
## PubNub Real-time Push APIs and Notifications Framework
## Copyright (c) 2010 Stephen Blum
## http://www.pubnub.com/
## -----------------------------------
## PubNub 3.0 Real-time Push Cloud API
## -----------------------------------
tr... | def publish( self, args ) :
"""
#**
#* Publish
#*
#* Send a message to a channel.
#*
#* @param array args with channel and message.
#* @return array success information.
#**
## Publish Example
info = pubnub.publish({
... | 65 | 115 | ## www.pubnub.com - PubNub Real-time push service in the cloud.
# coding=utf8
## PubNub Real-time Push APIs and Notifications Framework
## Copyright (c) 2010 Stephen Blum
## http://www.pubnub.com/
## -----------------------------------
## PubNub 3.0 Real-time Push Cloud API
## -----------------------------------
tr... |
subscribe | #**
#* Subscribe
#*
#* This is BLOCKING.
#* Listen for a message on a channel.
#*
#* @param array args with channel and callback.
#* @return false on fail, array on success.
#**
## Subscribe Example
def receive(message) :
print(message)
return True
pubnub.subscribe({
'channel' : 'hello_world',
'callb... | ## www.pubnub.com - PubNub Real-time push service in the cloud.
# coding=utf8
## PubNub Real-time Push APIs and Notifications Framework
## Copyright (c) 2010 Stephen Blum
## http://www.pubnub.com/
## -----------------------------------
## PubNub 3.0 Real-time Push Cloud API
## -----------------------------------
tr... | def subscribe( self, args ) :
"""
#**
#* Subscribe
#*
#* This is BLOCKING.
#* Listen for a message on a channel.
#*
#* @param array args with channel and callback.
#* @return false on fail, array on success.
#**
## Subscribe Ex... | 118 | 186 | ## www.pubnub.com - PubNub Real-time push service in the cloud.
# coding=utf8
## PubNub Real-time Push APIs and Notifications Framework
## Copyright (c) 2010 Stephen Blum
## http://www.pubnub.com/
## -----------------------------------
## PubNub 3.0 Real-time Push Cloud API
## -----------------------------------
tr... |
presence | #**
#* presence
#*
#* This is BLOCKING.
#* Listen for presence events on a channel.
#*
#* @param array args with channel and callback.
#* @return false on fail, array on success.
#**
## Presence Example
def pres_event(message) :
print(message)
return True
pubnub.presence({
'channel' : 'hello_world',
... | ## www.pubnub.com - PubNub Real-time push service in the cloud.
# coding=utf8
## PubNub Real-time Push APIs and Notifications Framework
## Copyright (c) 2010 Stephen Blum
## http://www.pubnub.com/
## -----------------------------------
## PubNub 3.0 Real-time Push Cloud API
## -----------------------------------
tr... | def presence( self, args ) :
"""
#**
#* presence
#*
#* This is BLOCKING.
#* Listen for presence events on a channel.
#*
#* @param array args with channel and callback.
#* @return false on fail, array on success.
#**
## Presence... | 188 | 226 | ## www.pubnub.com - PubNub Real-time push service in the cloud.
# coding=utf8
## PubNub Real-time Push APIs and Notifications Framework
## Copyright (c) 2010 Stephen Blum
## http://www.pubnub.com/
## -----------------------------------
## PubNub 3.0 Real-time Push Cloud API
## -----------------------------------
tr... |
__init__ | Create a connection pool. If max_connections is set, then this
object raises redis.ConnectionError when the pool's limit is reached.
By default, TCP connections are created connection_class is specified.
Use redis.UnixDomainSocketConnection for unix sockets.
Any additional keyword arguments are passed to the construc... | from __future__ import with_statement
from distutils.version import StrictVersion
from itertools import chain
from select import select
import os
import socket
import sys
import threading
import warnings
try:
import ssl
ssl_available = True
except ImportError:
ssl_available = False
from redis._compat impo... | def __init__(self, connection_class=Connection, max_connections=None,
**connection_kwargs):
"""
Create a connection pool. If max_connections is set, then this
object raises redis.ConnectionError when the pool's limit is reached.
By default, TCP connections are creat... | 841 | 861 | from __future__ import with_statement
from distutils.version import StrictVersion
from itertools import chain
from select import select
import os
import socket
import sys
import threading
import warnings
try:
import ssl
ssl_available = True
except ImportError:
ssl_available = False
from redis._compat impo... |
ngram_processor | Given a sequence or iterable of arbitrary items, return an iterator of
item ngrams tuples of length ngram_len. Buffers at most ngram_len iterable
items.
For example::
>>> list(ngram_processor([1, 2, 3, 4, 5], ngram_len=3))
[(1, 2, 3), (2, 3, 4), (3, 4, 5)] | #
# Copyright (c) 2015 nexB Inc. and others. All rights reserved.
# http://nexb.com and https://github.com/nexB/scancode-toolkit/
# The ScanCode software is licensed under the Apache License version 2.0.
# Data generated with ScanCode require an acknowledgment.
# ScanCode is a trademark of nexB Inc.
#
# You may not use... | def ngram_processor(items, ngram_len):
"""
Given a sequence or iterable of arbitrary items, return an iterator of
item ngrams tuples of length ngram_len. Buffers at most ngram_len iterable
items.
For example::
>>> list(ngram_processor([1,... | 692 | 712 | #
# Copyright (c) 2015 nexB Inc. and others. All rights reserved.
# http://nexb.com and https://github.com/nexB/scancode-toolkit/
# The ScanCode software is licensed under the Apache License version 2.0.
# Data generated with ScanCode require an acknowledgment.
# ScanCode is a trademark of nexB Inc.
#
# You may not use... |
__init__ | Initialize the simulator.
Args:
assets_dir: The assets directory.
physics_backend: Name of the physics engine backend.
time_step: Time step of the simulation.
gravity: The gravity as a 3-dimensional vector.
worker_id: The id of the multi-threaded simulation.
use_visualizer: Render the simulatio... | """The Simulator class.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os.path
import numpy as np
import pybullet
from robovat.math.pose import Pose
from robovat.simulation import physics
from robovat.simulation.body import Body
from robovat.si... | def __init__(self,
assets_dir=None,
physics_backend='BulletPhysics',
time_step=1e-3,
gravity=[0, 0, -9.8],
worker_id=0,
use_visualizer=False):
"""Initialize the simulator.
Args:
assets_... | 23 | 51 | """The Simulator class.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os.path
import numpy as np
import pybullet
from robovat.math.pose import Pose
from robovat.simulation import physics
from robovat.simulation.body import Body
from robovat.si... |
receive_robot_commands | Receive a robot command.
Args:
robot_command: An instance of RobotCommand.
component_type: Either 'body' or 'constraint'. | """The Simulator class.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os.path
import numpy as np
import pybullet
from robovat.math.pose import Pose
from robovat.simulation import physics
from robovat.simulation.body import Body
from robovat.si... | def receive_robot_commands(self,
robot_command,
component_type='body'):
"""Receive a robot command.
Args:
robot_command: An instance of RobotCommand.
component_type: Either 'body' or 'constraint'.
"""
... | 226 | 244 | """The Simulator class.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os.path
import numpy as np
import pybullet
from robovat.math.pose import Pose
from robovat.simulation import physics
from robovat.simulation.body import Body
from robovat.si... |
check_contact | Check if the loaded object is stable.
Args:
entity_a: The first entity.
entity_b: The second entity, None for any entities.
Returns:
True if they have contacts, False otherwise. | """The Simulator class.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os.path
import numpy as np
import pybullet
from robovat.math.pose import Pose
from robovat.simulation import physics
from robovat.simulation.body import Body
from robovat.si... | def check_contact(self, entity_a, entity_b=None):
"""Check if the loaded object is stable.
Args:
entity_a: The first entity.
entity_b: The second entity, None for any entities.
Returns:
True if they have contacts, False otherwise.
"""
def... | 246 | 287 | """The Simulator class.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os.path
import numpy as np
import pybullet
from robovat.math.pose import Pose
from robovat.simulation import physics
from robovat.simulation.body import Body
from robovat.si... |
check_stable | Check if the loaded object is stable.
Args:
body: An instance of body or a list of bodies.
linear_velocity_threshold: Linear velocity threshold of being
stable.
angular_velocity_threshold: Angular velocity threshold of being
stable.
Returns:
is_stable: True if the linear velocity and t... | """The Simulator class.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os.path
import numpy as np
import pybullet
from robovat.math.pose import Pose
from robovat.simulation import physics
from robovat.simulation.body import Body
from robovat.si... | def check_stable(self,
body,
linear_velocity_threshold,
angular_velocity_threshold):
"""Check if the loaded object is stable.
Args:
body: An instance of body or a list of bodies.
linear_velocity_threshold: Linear... | 289 | 323 | """The Simulator class.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os.path
import numpy as np
import pybullet
from robovat.math.pose import Pose
from robovat.simulation import physics
from robovat.simulation.body import Body
from robovat.si... |
wait_until_stable | Wait until the objects are stable.
Args:
body: An instance of body or a list of bodies.
linear_velocity_threshold: Linear velocity threshold of being
stable.
angular_velocity_threshold: Angular velocity threshold of being
stable.
check_after_steps: Number of steps before checking.
m... | """The Simulator class.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os.path
import numpy as np
import pybullet
from robovat.math.pose import Pose
from robovat.simulation import physics
from robovat.simulation.body import Body
from robovat.si... | def wait_until_stable(self,
body,
linear_velocity_threshold=0.005,
angular_velocity_threshold=0.005,
check_after_steps=100,
min_stable_steps=100,
max_steps=2000... | 325 | 376 | """The Simulator class.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os.path
import numpy as np
import pybullet
from robovat.math.pose import Pose
from robovat.simulation import physics
from robovat.simulation.body import Body
from robovat.si... |
plot_pose | Plot a 6-DoF pose or a frame in the debugging visualizer.
Args:
pose: The pose to be plot.
axis_length: The length of the axes.
text: Text showing up next to the frame.
text_size: Size of the text.
text_color: Color of the text. | """The Simulator class.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os.path
import numpy as np
import pybullet
from robovat.math.pose import Pose
from robovat.simulation import physics
from robovat.simulation.body import Body
from robovat.si... | def plot_pose(self,
pose,
axis_length=1.0,
text=None,
text_size=1.0,
text_color=[0, 0, 0]):
"""Plot a 6-DoF pose or a frame in the debugging visualizer.
Args:
pose: The pose to be plot.
... | 378 | 424 | """The Simulator class.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os.path
import numpy as np
import pybullet
from robovat.math.pose import Pose
from robovat.simulation import physics
from robovat.simulation.body import Body
from robovat.si... |
parse_dsn | Parse connection string into a dictionary of keywords and values.
Connection string format:
vertica://<user>:<password>@<host>:<port>/<database>?k1=v1&k2=v2&... | # Copyright (c) 2018-2022 Micro Focus or one of its affiliates.
# Copyright (c) 2018 Uber Technologies, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licen... | def parse_dsn(dsn):
"""Parse connection string into a dictionary of keywords and values.
Connection string format:
vertica://<user>:<password>@<host>:<port>/<database>?k1=v1&k2=v2&...
"""
url = urlparse(dsn)
if url.scheme != 'vertica':
raise ValueError("Only vertica:// scheme i... | 91 | 134 | # Copyright (c) 2018-2022 Micro Focus or one of its affiliates.
# Copyright (c) 2018 Uber Technologies, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licen... |
block_group | Builds one group of blocks.
Args:
inputs: a `Tensor` of size `[batch, channels, height, width]`.
filters: an `int` number of filters for the first two convolutions.
strides: an `int` block stride. If greater than 1, this block will
ultimately downsample the input.
use_projection: a `bool` for whether this ... | # Lint as: python2, python3
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | def block_group(inputs,
filters,
strides,
use_projection,
block_fn,
block_repeats,
batch_norm_relu=nn_ops.BatchNormRelu(),
dropblock=nn_ops.Dropblock(),
drop_connect_rate=None,
... | 42 | 103 | # Lint as: python2, python3
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... |
__init__ | ResNet initialization function.
Args:
resnet_depth: `int` depth of ResNet backbone model.
dropblock: a dropblock layer.
batch_norm_relu: an operation that includes a batch normalization layer
followed by a relu layer(optional).
init_drop_connect_rate: a 'float' number that specifies the initial drop
co... | # Lint as: python2, python3
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | def __init__(self,
resnet_depth,
dropblock=nn_ops.Dropblock(),
batch_norm_relu=nn_ops.BatchNormRelu(),
init_drop_connect_rate=None,
data_format='channels_last'):
"""ResNet initialization function.
Args:
resnet_depth: `int` depth... | 109 | 154 | # Lint as: python2, python3
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... |
_get_dist_params | Returns the learned paremters of the distribution.
Parameters
----------
x : torch.FloatTensor
Input state tensor.
Returns
-------
Tuple[torch.FloatTensor, torch.FloatTensor, torch.FloatTensor]
Distribution mean (mu), Distribution standard deviation (sigma), State value estimate (V_hat). | from typing import ClassVar, List, Optional, Tuple, Callable, Union, cast
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.distributions as D
from alphazero.network.distributions import SquashedNormal, GeneralizedBeta
from alphazero.network.utils import (
_map_nonli... | def _get_dist_params(
self, x: torch.Tensor
) -> Tuple[torch.FloatTensor, torch.FloatTensor]:
"""Returns the learned paremters of the distribution.
Parameters
----------
x : torch.FloatTensor
Input state tensor.
Returns
-------
Tuple[... | 275 | 297 | from typing import ClassVar, List, Optional, Tuple, Callable, Union, cast
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.distributions as D
from alphazero.network.distributions import SquashedNormal, GeneralizedBeta
from alphazero.network.utils import (
_map_nonli... |
forward | Forward pass of the model.
Parameters
----------
x : torch.FloatTensor
Input state tensor.
Returns
-------
Tuple[Normallike, torch.FloatTensor]
Normal or squashed Normal distribution (dist), State value estimate (V_hat). | from typing import ClassVar, List, Optional, Tuple, Callable, Union, cast
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.distributions as D
from alphazero.network.distributions import SquashedNormal, GeneralizedBeta
from alphazero.network.utils import (
_map_nonli... | def forward(self, x: torch.FloatTensor) -> Tuple[D.Categorical, torch.FloatTensor]:
"""Forward pass of the model.
Parameters
----------
x : torch.FloatTensor
Input state tensor.
Returns
-------
Tuple[Normallike, torch.FloatTensor]
Nor... | 299 | 317 | from typing import ClassVar, List, Optional, Tuple, Callable, Union, cast
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.distributions as D
from alphazero.network.distributions import SquashedNormal, GeneralizedBeta
from alphazero.network.utils import (
_map_nonli... |
forward | Returns the learned paremters of the distribution.
Parameters
----------
x : torch.FloatTensor
Input state tensor.
Returns
-------
Tuple[torch.FloatTensor, torch.FloatTensor, torch.FloatTensor]
Distribution mean (mu), Distribution standard deviation (sigma), State value estimate (V_hat). | from typing import ClassVar, List, Optional, Tuple, Callable, Union, cast
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.distributions as D
from alphazero.network.distributions import SquashedNormal, GeneralizedBeta
from alphazero.network.utils import (
_map_nonli... | def forward(
self, x: torch.FloatTensor
) -> Tuple[torch.FloatTensor, torch.FloatTensor, torch.FloatTensor]:
"""Returns the learned paremters of the distribution.
Parameters
----------
x : torch.FloatTensor
Input state tensor.
Returns
-------... | 436 | 464 | from typing import ClassVar, List, Optional, Tuple, Callable, Union, cast
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.distributions as D
from alphazero.network.distributions import SquashedNormal, GeneralizedBeta
from alphazero.network.utils import (
_map_nonli... |
forward | Returns the learned paremters of the distribution.
Parameters
----------
x : torch.FloatTensor
Input state tensor.
Returns
-------
Tuple[torch.FloatTensor, torch.FloatTensor, torch.FloatTensor, torch.FloatTensor]
Distribution mean (mu), Distribution standard deviation (sigma),
Logits for the categorical d... | from typing import ClassVar, List, Optional, Tuple, Callable, Union, cast
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.distributions as D
from alphazero.network.distributions import SquashedNormal, GeneralizedBeta
from alphazero.network.utils import (
_map_nonli... | def forward(
self, x: torch.FloatTensor
) -> Tuple[
torch.FloatTensor, torch.FloatTensor, torch.FloatTensor, torch.FloatTensor
]:
"""Returns the learned paremters of the distribution.
Parameters
----------
x : torch.FloatTensor
Input state tensor.... | 590 | 631 | from typing import ClassVar, List, Optional, Tuple, Callable, Union, cast
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.distributions as D
from alphazero.network.distributions import SquashedNormal, GeneralizedBeta
from alphazero.network.utils import (
_map_nonli... |
forward | Returns the learned paremters of the distribution.
Parameters
----------
x : torch.FloatTensor
Input state tensor.
Returns
-------
Tuple[torch.FloatTensor, torch.FloatTensor, torch.FloatTensor]
Alpha parameter (alpha), Beta parameter (beta), State value estimate (V_hat). | from typing import ClassVar, List, Optional, Tuple, Callable, Union, cast
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.distributions as D
from alphazero.network.distributions import SquashedNormal, GeneralizedBeta
from alphazero.network.utils import (
_map_nonli... | def forward(
self, x: torch.FloatTensor
) -> Tuple[torch.FloatTensor, torch.FloatTensor, torch.FloatTensor]:
"""Returns the learned paremters of the distribution.
Parameters
----------
x : torch.FloatTensor
Input state tensor.
Returns
-------... | 750 | 778 | from typing import ClassVar, List, Optional, Tuple, Callable, Union, cast
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.distributions as D
from alphazero.network.distributions import SquashedNormal, GeneralizedBeta
from alphazero.network.utils import (
_map_nonli... |
push | Pushes an element onto the stack.
Time Complexity: O(1)
Args:
x: item to be added | """
Min Stack
-----
A LIFO abstract data type that serves as a collection of elements.
Supports retrieving the min from the stack in constant time.
"""
class MinStack(object):
def __init__(self):
"""
Attributes:
data (arr): data stored in the stack
minimum (arr): minimum values of data stored
"""
self... | def push(self, x):
"""
Pushes an element onto the stack.
Time Complexity: O(1)
Args:
x: item to be added
"""
self.data.append(x)
if not self.minimum or x <= self.minimum[-1]:
self.minimum.append(x) | 31 | 42 | """
Min Stack
-----
A LIFO abstract data type that serves as a collection of elements.
Supports retrieving the min from the stack in constant time.
"""
class MinStack(object):
def __init__(self):
"""
Attributes:
data (arr): data stored in the stack
minimum (arr): minimum values of data stored
"""
self... |
pop | Pops an element off the stack.
Time Complexity: O(1)
Returns:
any: the last element on the stack | """
Min Stack
-----
A LIFO abstract data type that serves as a collection of elements.
Supports retrieving the min from the stack in constant time.
"""
class MinStack(object):
def __init__(self):
"""
Attributes:
data (arr): data stored in the stack
minimum (arr): minimum values of data stored
"""
self... | def pop(self):
"""
Pops an element off the stack.
Time Complexity: O(1)
Returns:
any: the last element on the stack
"""
x = self.data.pop()
if x == self.minimum[-1]:
self.minimum.pop()
return x | 44 | 57 | """
Min Stack
-----
A LIFO abstract data type that serves as a collection of elements.
Supports retrieving the min from the stack in constant time.
"""
class MinStack(object):
def __init__(self):
"""
Attributes:
data (arr): data stored in the stack
minimum (arr): minimum values of data stored
"""
self... |
filterCanny | The Canny detector is a multi-stage algorithm optimized for fast real-time edge detection,
which will reduce complexity of the image much further.
The algorithm will detect sharp changes in luminosity and will define them as edges.
The algorithm has the following stages:
- Noise reduction
- Intensity... | import numpy as np
import cv2 as cv
import math
from server.cv_utils import *
def filterGaussian(img,size=(5,5),stdv=0):
"""Summary of filterGaussian
This will apply a noise reduction filter, we will use s 5x5 Gaussian filter to smooth
the image to lower the sensitivity to noise. (The smaller the size... | def filterCanny(img,min_val=50,max_val=150,size=(5,5),stdv=0):
"""
The Canny detector is a multi-stage algorithm optimized for fast real-time edge detection,
which will reduce complexity of the image much further.
The algorithm will detect sharp changes in luminosity and will define them as edges.... | 28 | 52 | import numpy as np
import cv2 as cv
import math
from server.cv_utils import *
def filterGaussian(img,size=(5,5),stdv=0):
"""Summary of filterGaussian
This will apply a noise reduction filter, we will use s 5x5 Gaussian filter to smooth
the image to lower the sensitivity to noise. (The smaller the size... |
houghFilter | Params:
frame
distance_resolution: distance resolution of accumulator in pixels, larger ==> less precision
angle_resolution: angle of accumulator in radians, larger ==> less precision
min_n_intersections: minimum number of intersections
min_line_size: minimum length of line in pixels
max_l... | import numpy as np
import cv2 as cv
import math
from server.cv_utils import *
def filterGaussian(img,size=(5,5),stdv=0):
"""Summary of filterGaussian
This will apply a noise reduction filter, we will use s 5x5 Gaussian filter to smooth
the image to lower the sensitivity to noise. (The smaller the size... | def houghFilter(frame,distance_resolution=2,angle_resolution=np.pi/180,min_n_intersections=50,min_line_size=30,max_line_gap=5):
"""
Params:
frame
distance_resolution: distance resolution of accumulator in pixels, larger ==> less precision
angle_resolution: angle of accumulator in ra... | 71 | 83 | import numpy as np
import cv2 as cv
import math
from server.cv_utils import *
def filterGaussian(img,size=(5,5),stdv=0):
"""Summary of filterGaussian
This will apply a noise reduction filter, we will use s 5x5 Gaussian filter to smooth
the image to lower the sensitivity to noise. (The smaller the size... |
ValidateSingleFile | Does corresponding validations if histograms.xml or enums.xml is changed.
Args:
input_api: An input_api instance that contains information about changes.
output_api: An output_api instance to create results of the PRESUBMIT check.
file_obj: A file object of one of the changed files.
cwd: Path to current workin... | # Copyright 2013 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""
See http://dev.chromium.org/developers/how-tos/depottools/presubmit-scripts
for more details on the presubmit API built into depot_tools.
"""
def GetPr... | def ValidateSingleFile(input_api, output_api, file_obj, cwd, results):
"""Does corresponding validations if histograms.xml or enums.xml is changed.
Args:
input_api: An input_api instance that contains information about changes.
output_api: An output_api instance to create results of the PRESUBMIT check.
... | 67 | 112 | # Copyright 2013 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""
See http://dev.chromium.org/developers/how-tos/depottools/presubmit-scripts
for more details on the presubmit API built into depot_tools.
"""
def GetPr... |
__init__ | Constructor
:param model:
Model class
:param name:
Display name
:param category:
Display category
:param endpoint:
Endpoint
:param url:
Custom URL
:param menu_class_name:
Optional class name for the menu item.
:param menu_icon_type:
Optional icon. Possible icon types:
- `flask_admin.c... | import logging
from flask import request, flash, abort, Response
from flask_admin import expose
from flask_admin.babel import gettext, ngettext, lazy_gettext
from flask_admin.model import BaseModelView
from flask_admin.model.form import wrap_fields_in_fieldlist
from flask_admin.model.fields import ListEditableFieldLi... | def __init__(self, model, name=None,
category=None, endpoint=None, url=None, static_folder=None,
menu_class_name=None, menu_icon_type=None, menu_icon_value=None):
"""
Constructor
:param model:
Model class
:param name:
... | 202 | 238 | import logging
from flask import request, flash, abort, Response
from flask_admin import expose
from flask_admin.babel import gettext, ngettext, lazy_gettext
from flask_admin.model import BaseModelView
from flask_admin.model.form import wrap_fields_in_fieldlist
from flask_admin.model.fields import ListEditableFieldLi... |
_from_openapi_data | CoinsForwardingSuccessData - a model defined in OpenAPI
Args:
product (str): Represents the Crypto APIs 2.0 product which sends the callback.
event (str): Defines the specific event, for which a callback subscription is set.
item (CoinsForwardingSuccessDataItem):
Keyword Args:
_check_type (bool): if T... | """
CryptoAPIs
Crypto APIs 2.0 is a complex and innovative infrastructure layer that radically simplifies the development of any Blockchain and Crypto related applications. Organized around REST, Crypto APIs 2.0 can assist both novice Bitcoin/Ethereum enthusiasts and crypto experts with the development of thei... | @classmethod
@convert_js_args_to_python_args
def _from_openapi_data(cls, product, event, item, *args, **kwargs): # noqa: E501
"""CoinsForwardingSuccessData - a model defined in OpenAPI
Args:
product (str): Represents the Crypto APIs 2.0 product which sends the callback.
... | 112 | 191 | """
CryptoAPIs
Crypto APIs 2.0 is a complex and innovative infrastructure layer that radically simplifies the development of any Blockchain and Crypto related applications. Organized around REST, Crypto APIs 2.0 can assist both novice Bitcoin/Ethereum enthusiasts and crypto experts with the development of thei... |
_activation_summary | Helper to create summaries for activations.
Creates a summary that provides a histogram of activations.
Creates a summary that measures the sparsity of activations.
Args:
x: Tensor
Returns:
nothing | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | def _activation_summary(x):
"""Helper to create summaries for activations.
Creates a summary that provides a histogram of activations.
Creates a summary that measures the sparsity of activations.
Args:
x: Tensor
Returns:
nothing
"""
# Remove 'tower_[0-9]/' from the name in case this is a multi-G... | 79 | 95 | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
_variable_with_weight_decay | Helper to create an initialized Variable with weight decay.
Note that the Variable is initialized with a truncated normal distribution.
A weight decay is added only if one is specified.
Args:
name: name of the variable
shape: list of ints
stddev: standard deviation of a truncated Gaussian
wd: add L2Loss weigh... | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | def _variable_with_weight_decay(name, shape, stddev, wd):
"""Helper to create an initialized Variable with weight decay.
Note that the Variable is initialized with a truncated normal distribution.
A weight decay is added only if one is specified.
Args:
name: name of the variable
shape: list of ints
... | 115 | 139 | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
distorted_inputs | Construct distorted input for CIFAR training using the Reader ops.
Returns:
images: Images. 4D tensor of [batch_size, IMAGE_SIZE, IMAGE_SIZE, 3] size.
labels: Labels. 1D tensor of [batch_size] size.
Raises:
ValueError: If no data_dir | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | def distorted_inputs():
"""Construct distorted input for CIFAR training using the Reader ops.
Returns:
images: Images. 4D tensor of [batch_size, IMAGE_SIZE, IMAGE_SIZE, 3] size.
labels: Labels. 1D tensor of [batch_size] size.
Raises:
ValueError: If no data_dir
"""
if not FLAGS.data_dir:
rais... | 142 | 160 | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
inputs | Construct input for CIFAR evaluation using the Reader ops.
Args:
eval_data: bool, indicating if one should use the train or eval data set.
Returns:
images: Images. 4D tensor of [batch_size, IMAGE_SIZE, IMAGE_SIZE, 3] size.
labels: Labels. 1D tensor of [batch_size] size.
Raises:
ValueError: If no data_dir | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | def inputs(eval_data):
"""Construct input for CIFAR evaluation using the Reader ops.
Args:
eval_data: bool, indicating if one should use the train or eval data set.
Returns:
images: Images. 4D tensor of [batch_size, IMAGE_SIZE, IMAGE_SIZE, 3] size.
labels: Labels. 1D tensor of [batch_size] size.
... | 163 | 185 | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
plot_ellipsoid_3D | Plot an ellipsoid in 3D
Based on
https://stackoverflow.com/questions/7819498/plotting-ellipsoid-with-matplotlib
TODO: Untested!
Parameters
----------
p: 3x1 array[float]
Center of the ellipsoid
q: 3x3 array[float]
Shape matrix of the ellipsoid
ax: matplotlib.Axes object
Ax on which to plot the ellipsoid
... | # -*- coding: utf-8 -*-
"""
Created on Thu Sep 21 15:49:49 2017
@author: tkoller
"""
import numpy as np
import numpy.linalg as nLa
from ..utils import unavailable
try:
import matplotlib.pyplot as plt
_has_matplotlib = True
except:
_has_matplotlib = False
# MASKED: plot_ellipsoid_3D function (lines 19-6... | @unavailable(not _has_matplotlib, "matplotlib")
def plot_ellipsoid_3D(p, q, ax, n_points=100):
""" Plot an ellipsoid in 3D
Based on
https://stackoverflow.com/questions/7819498/plotting-ellipsoid-with-matplotlib
TODO: Untested!
Parameters
----------
p: 3x1 array[float]
Center of th... | 19 | 65 | # -*- coding: utf-8 -*-
"""
Created on Thu Sep 21 15:49:49 2017
@author: tkoller
"""
import numpy as np
import numpy.linalg as nLa
from ..utils import unavailable
try:
import matplotlib.pyplot as plt
_has_matplotlib = True
except:
_has_matplotlib = False
@unavailable(not _has_matplotlib, "matplotlib")
... |
plot_ellipsoid_2D | Plot an ellipsoid in 2D
TODO: Untested!
Parameters
----------
p: 3x1 array[float]
Center of the ellipsoid
q: 3x3 array[float]
Shape matrix of the ellipsoid
ax: matplotlib.Axes object
Ax on which to plot the ellipsoid
Returns
-------
ax: matplotlib.Axes object
The Ax containing the ellipsoid | # -*- coding: utf-8 -*-
"""
Created on Thu Sep 21 15:49:49 2017
@author: tkoller
"""
import numpy as np
import numpy.linalg as nLa
from ..utils import unavailable
try:
import matplotlib.pyplot as plt
_has_matplotlib = True
except:
_has_matplotlib = False
@unavailable(not _has_matplotlib, "matplotlib")
... | @unavailable(not _has_matplotlib, "matplotlib")
def plot_ellipsoid_2D(p, q, ax, n_points=100, color="r"):
""" Plot an ellipsoid in 2D
TODO: Untested!
Parameters
----------
p: 3x1 array[float]
Center of the ellipsoid
q: 3x3 array[float]
Shape matrix of the ellipsoid
ax: matp... | 68 | 95 | # -*- coding: utf-8 -*-
"""
Created on Thu Sep 21 15:49:49 2017
@author: tkoller
"""
import numpy as np
import numpy.linalg as nLa
from ..utils import unavailable
try:
import matplotlib.pyplot as plt
_has_matplotlib = True
except:
_has_matplotlib = False
@unavailable(not _has_matplotlib, "matplotlib")
... |
__init__ | Positions: 3 x nAtom matrix. Given in atomic units (ABohr).
Elements: element name (e.g., H) for each of the positions.
Orientations: If given, a [3,3,N] array encoding the standard
orientation of the given atoms (for replicating potentials!). For
each atom there is a orthogonal 3x3 matrix denoting the ex,ey,ez
directi... | # TODO: By PySCF-1.5 release
# Copyright 2014-2020 The PySCF Developers. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.... | def __init__(self, Positions, Elements, Orientations=None, Name=None):
"""Positions: 3 x nAtom matrix. Given in atomic units (ABohr).
Elements: element name (e.g., H) for each of the positions.
Orientations: If given, a [3,3,N] array encoding the standard
orientation of the given atoms (for r... | 95 | 106 | # TODO: By PySCF-1.5 release
# Copyright 2014-2020 The PySCF Developers. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.... |
etcd_data_change | Etcd scale events block master reconfiguration due to the
kubernetes-master.components.started state. We need a way to
handle these events consistenly only when the number of etcd
units has actually changed | #!/usr/bin/env python
# Copyright 2015 The Kubernetes Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | @when('etcd.available')
def etcd_data_change(etcd):
''' Etcd scale events block master reconfiguration due to the
kubernetes-master.components.started state. We need a way to
handle these events consistenly only when the number of etcd
units has actually changed '''
# key off of the con... | 378 | 391 | #!/usr/bin/env python
# Copyright 2015 The Kubernetes Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... |
onehot_encode | One hot encode the tokens
Args:
dataset list of lists of tokens
char_indices dictionary of {key=character, value=index to use encoding vector}
maxlen int Length of each sample
Return:
np array of shape (samples, tokens, encoding length) |
# coding: utf-8
# In[ ]:
import os
import re
import tarfile
import requests
from pugnlp.futil import path_status, find_files
# In[ ]:
# From the nlpia package for downloading data too big for the repo
BIG_URLS = {
'w2v': (
'https://www.dropbox.com/s/965dir4dje0hfi4/GoogleNews-vectors-negative300.... | def onehot_encode(dataset, char_indices, maxlen):
"""
One hot encode the tokens
Args:
dataset list of lists of tokens
char_indices dictionary of {key=character, value=index to use encoding vector}
maxlen int Length of each sample
Return:
np array of shape (sampl... | 486 | 501 |
# coding: utf-8
# In[ ]:
import os
import re
import tarfile
import requests
from pugnlp.futil import path_status, find_files
# In[ ]:
# From the nlpia package for downloading data too big for the repo
BIG_URLS = {
'w2v': (
'https://www.dropbox.com/s/965dir4dje0hfi4/GoogleNews-vectors-negative300.... |
get_serializer | Return a serializer object for the given method.
:param method: the serialization method; can be either "xml", "xhtml",
"html", "text", or a custom serializer class
Any additional keyword arguments are passed to the serializer, and thus
depend on the `method` parameter value.
:see: `XMLSerializer`, `X... | # -*- coding: utf-8 -*-
#
# Copyright (C) 2006-2009 Edgewall Software
# All rights reserved.
#
# This software is licensed as described in the file COPYING, which
# you should have received as part of this distribution. The terms
# are also available at http://genshi.edgewall.org/wiki/License.
#
# This software consist... | def get_serializer(method='xml', **kwargs):
"""Return a serializer object for the given method.
:param method: the serialization method; can be either "xml", "xhtml",
"html", "text", or a custom serializer class
Any additional keyword arguments are passed to the serializer, and thus... | 62 | 79 | # -*- coding: utf-8 -*-
#
# Copyright (C) 2006-2009 Edgewall Software
# All rights reserved.
#
# This software is licensed as described in the file COPYING, which
# you should have received as part of this distribution. The terms
# are also available at http://genshi.edgewall.org/wiki/License.
#
# This software consist... |
correlation_columns | Columns that are correlated to the target point
Parameters
----------
dataset: pd.DataFrame
The pandas dataframe
target_column: str
The target column to calculate correlation against
k: float
The correlation cuttoff point; defaults to -0.5 and 0.5.
The values passed in represents the negative and po... | # build_features.py
# This module holds utility classes and functions that creates and manipulates input features
# This module also holds the various input transformers
import numpy as np
import pandas as pd
from sklearn.base import BaseEstimator, TransformerMixin
# MASKED: correlation_columns function (lines 9-37)
... | def correlation_columns(dataset: pd.DataFrame, target_column: str, k: float=0.5):
"""
Columns that are correlated to the target point
Parameters
----------
dataset: pd.DataFrame
The pandas dataframe
target_column: str
The target column to calculate correlation against
... | 9 | 37 | # build_features.py
# This module holds utility classes and functions that creates and manipulates input features
# This module also holds the various input transformers
import numpy as np
import pandas as pd
from sklearn.base import BaseEstimator, TransformerMixin
def correlation_columns(dataset: pd.DataFrame, targe... |
get_dtype_counts | Return counts of unique dtypes in this object.
.. deprecated:: 0.14.0
Returns
-------
dtype : pd.Series
Series with the count of columns with each dtype.
See Also
--------
dtypes : Return the dtypes in this object.
Examples
--------
>>> a = [['a', 1, 1], ['b', 2, 2], ['c', 3, 3]]
>>> df = ps.DataFrame(a, column... | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | def get_dtype_counts(self) -> pd.Series:
"""
Return counts of unique dtypes in this object.
.. deprecated:: 0.14.0
Returns
-------
dtype : pd.Series
Series with the count of columns with each dtype.
See Also
--------
dtypes : Ret... | 395 | 439 | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... |
mean | Return the mean of the values.
Parameters
----------
axis : {index (0), columns (1)}
Axis for the function to be applied on.
numeric_only : bool, default None
Include only float, int, boolean columns. False is not supported. This parameter
is mainly for pandas compatibility.
Returns
-------
mean : scalar ... | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | def mean(
self, axis: Optional[Axis] = None, numeric_only: bool = None
) -> Union[Scalar, "Series"]:
"""
Return the mean of the values.
Parameters
----------
axis : {index (0), columns (1)}
Axis for the function to be applied on.
numeric_only ... | 1,132 | 1,193 | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... |
sum | Return the sum of the values.
Parameters
----------
axis : {index (0), columns (1)}
Axis for the function to be applied on.
numeric_only : bool, default None
Include only float, int, boolean columns. False is not supported. This parameter
is mainly for pandas compatibility.
min_count : int, default 0
T... | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | def sum(
self, axis: Optional[Axis] = None, numeric_only: bool = None, min_count: int = 0
) -> Union[Scalar, "Series"]:
"""
Return the sum of the values.
Parameters
----------
axis : {index (0), columns (1)}
Axis for the function to be applied on.
... | 1,195 | 1,278 | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... |
product | Return the product of the values.
.. note:: unlike pandas', pandas-on-Spark's emulates product by ``exp(sum(log(...)))``
trick. Therefore, it only works for positive numbers.
Parameters
----------
axis : {index (0), columns (1)}
Axis for the function to be applied on.
numeric_only : bool, default None
Inc... | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | def product(
self, axis: Optional[Axis] = None, numeric_only: bool = None, min_count: int = 0
) -> Union[Scalar, "Series"]:
"""
Return the product of the values.
.. note:: unlike pandas', pandas-on-Spark's emulates product by ``exp(sum(log(...)))``
trick. Therefore, ... | 1,280 | 1,375 | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... |
skew | Return unbiased skew normalized by N-1.
Parameters
----------
axis : {index (0), columns (1)}
Axis for the function to be applied on.
numeric_only : bool, default None
Include only float, int, boolean columns. False is not supported. This parameter
is mainly for pandas compatibility.
Returns
-------
skew ... | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | def skew(
self, axis: Optional[Axis] = None, numeric_only: bool = None
) -> Union[Scalar, "Series"]:
"""
Return unbiased skew normalized by N-1.
Parameters
----------
axis : {index (0), columns (1)}
Axis for the function to be applied on.
nume... | 1,379 | 1,433 | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... |
kurtosis | Return unbiased kurtosis using Fisher’s definition of kurtosis (kurtosis of normal == 0.0).
Normalized by N-1.
Parameters
----------
axis : {index (0), columns (1)}
Axis for the function to be applied on.
numeric_only : bool, default None
Include only float, int, boolean columns. False is not supported. This p... | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | def kurtosis(
self, axis: Optional[Axis] = None, numeric_only: bool = None
) -> Union[Scalar, "Series"]:
"""
Return unbiased kurtosis using Fisher’s definition of kurtosis (kurtosis of normal == 0.0).
Normalized by N-1.
Parameters
----------
axis : {index... | 1,435 | 1,490 | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... |
min | Return the minimum of the values.
Parameters
----------
axis : {index (0), columns (1)}
Axis for the function to be applied on.
numeric_only : bool, default None
If True, include only float, int, boolean columns. This parameter is mainly for
pandas compatibility. False is supported; however, the columns sh... | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | def min(
self, axis: Optional[Axis] = None, numeric_only: bool = None
) -> Union[Scalar, "Series"]:
"""
Return the minimum of the values.
Parameters
----------
axis : {index (0), columns (1)}
Axis for the function to be applied on.
numeric_onl... | 1,494 | 1,547 | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... |
max | Return the maximum of the values.
Parameters
----------
axis : {index (0), columns (1)}
Axis for the function to be applied on.
numeric_only : bool, default None
If True, include only float, int, boolean columns. This parameter is mainly for
pandas compatibility. False is supported; however, the columns sh... | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | def max(
self, axis: Optional[Axis] = None, numeric_only: bool = None
) -> Union[Scalar, "Series"]:
"""
Return the maximum of the values.
Parameters
----------
axis : {index (0), columns (1)}
Axis for the function to be applied on.
numeric_onl... | 1,549 | 1,602 | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... |
bool | Return the bool of a single element in the current object.
This must be a boolean scalar value, either True or False. Raise a ValueError if
the object does not have exactly 1 element, or that element is not boolean
Returns
--------
bool
Examples
--------
>>> ps.DataFrame({'a': [True]}).bool()
True
>>> ps.Series([Fa... | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | def bool(self) -> bool:
"""
Return the bool of a single element in the current object.
This must be a boolean scalar value, either True or False. Raise a ValueError if
the object does not have exactly 1 element, or that element is not boolean
Returns
--------
... | 2,255 | 2,299 | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... |
__init__ | Create a new Client with an FServiceProvider containing a transport
and protocol factory.
Args:
provider: FServiceProvider
middleware: ServiceMiddleware or list of ServiceMiddleware | #
# Autogenerated by Frugal Compiler (3.4.2)
#
# DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
#
import asyncio
from datetime import timedelta
import inspect
from frugal.aio.processor import FBaseProcessor
from frugal.aio.processor import FProcessorFunction
from frugal.exceptions import TApplicat... | def __init__(self, provider, middleware=None):
"""
Create a new Client with an FServiceProvider containing a transport
and protocol factory.
Args:
provider: FServiceProvider
middleware: ServiceMiddleware or list of ServiceMiddleware
"""
middle... | 39 | 55 | #
# Autogenerated by Frugal Compiler (3.4.2)
#
# DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
#
import asyncio
from datetime import timedelta
import inspect
from frugal.aio.processor import FBaseProcessor
from frugal.aio.processor import FProcessorFunction
from frugal.exceptions import TApplicat... |
final_eos_is_already_included | Args:
header_block: An overflow block, with potentially missing information about the new sub slot
blocks: all blocks that have been included before header_block
sub_slot_iters: sub_slot_iters at the header_block
Returns: True iff the missing sub slot was already included in a previous block. Returns False... | import logging
from typing import List, Union
from cactus.consensus.block_record import BlockRecord
from cactus.consensus.blockchain_interface import BlockchainInterface
from cactus.consensus.constants import ConsensusConstants
from cactus.types.blockchain_format.sized_bytes import bytes32
from cactus.types.full_block... | def final_eos_is_already_included(
header_block: Union[UnfinishedHeaderBlock, UnfinishedBlock, HeaderBlock, FullBlock],
blocks: BlockchainInterface,
sub_slot_iters: uint64,
) -> bool:
"""
Args:
header_block: An overflow block, with potentially missing information about the new sub slot
... | 17 | 51 | import logging
from typing import List, Union
from cactus.consensus.block_record import BlockRecord
from cactus.consensus.blockchain_interface import BlockchainInterface
from cactus.consensus.constants import ConsensusConstants
from cactus.types.blockchain_format.sized_bytes import bytes32
from cactus.types.full_block... |
parse_args | Takes a string of whitespace-separated tokens and parses it into a list.
Whitespace inside tokens may be quoted with single quotes, double quotes or
backslash (similar to command-line arguments in bash).
>>> parse_args(r'''"a a" 'b b' c\ c "d'd" 'e"e' 'f'f' "g"g" "i""i" 'j''j' k" "k l' l' mm n\n''')
['... | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... | def parse_args(string):
"""Takes a string of whitespace-separated tokens and parses it into a list.
Whitespace inside tokens may be quoted with single quotes, double quotes or
backslash (similar to command-line arguments in bash).
>>> parse_args(r'''"a a" 'b b' c\ c "d'd" 'e"e' 'f\'f' "g\"g" "i""i" 'j'... | 256 | 273 | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... |
local | Syntax: [storm local topology-jar-path class ...]
Runs the main method of class with the specified arguments but pointing to a local cluster
The storm jars and configs in ~/.storm are put on the classpath.
The process is configured so that StormSubmitter
(http://storm.apache.org/releases/current/javadocs/org/apache/st... | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... | def local(jarfile, klass, *args):
"""Syntax: [storm local topology-jar-path class ...]
Runs the main method of class with the specified arguments but pointing to a local cluster
The storm jars and configs in ~/.storm are put on the classpath.
The process is configured so that StormSubmitter
(http:/... | 326 | 348 | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... |
sql | Syntax: [storm sql sql-file topology-name], or [storm sql sql-file --explain] when activating explain mode
Compiles the SQL statements into a Trident topology and submits it to Storm.
If user activates explain mode, SQL Runner analyzes each query statement and shows query plan instead of submitting topology.
--jars a... | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... | def sql(sql_file, topology_name):
"""Syntax: [storm sql sql-file topology-name], or [storm sql sql-file --explain] when activating explain mode
Compiles the SQL statements into a Trident topology and submits it to Storm.
If user activates explain mode, SQL Runner analyzes each query statement and shows que... | 385 | 425 | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... |
kill | Syntax: [storm kill topology-name [-w wait-time-secs]]
Kills the topology with the name topology-name. Storm will
first deactivate the topology's spouts for the duration of
the topology's message timeout to allow all messages currently
being processed to finish processing. Storm will then shutdown
the workers and clea... | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... | def kill(*args):
"""Syntax: [storm kill topology-name [-w wait-time-secs]]
Kills the topology with the name topology-name. Storm will
first deactivate the topology's spouts for the duration of
the topology's message timeout to allow all messages currently
being processed to finish processing. Storm... | 427 | 444 | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... |
rebalance | Syntax: [storm rebalance topology-name [-w wait-time-secs] [-n new-num-workers] [-e component=parallelism]* [-r '{"component1": {"resource1": new_amount, "resource2": new_amount, ... }*}'] [-t '{"conf1": newValue, *}']]
Sometimes you may wish to spread out the workers for a running topology.
For example, let's say yo... | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... | def rebalance(*args):
"""Syntax: [storm rebalance topology-name [-w wait-time-secs] [-n new-num-workers] [-e component=parallelism]* [-r '{"component1": {"resource1": new_amount, "resource2": new_amount, ... }*}'] [-t '{"conf1": newValue, *}']]
Sometimes you may wish to spread out the workers for a running to... | 571 | 600 | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... |
shell | Syntax: [storm shell resourcesdir command args]
Archives resources to jar and uploads jar to Nimbus, and executes following arguments on "local". Useful for non JVM languages.
eg: `storm shell resources/ python topology.py arg1 arg2` | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... | def shell(resourcesdir, command, *args):
"""Syntax: [storm shell resourcesdir command args]
Archives resources to jar and uploads jar to Nimbus, and executes following arguments on "local". Useful for non JVM languages.
eg: `storm shell resources/ python topology.py arg1 arg2`
"""
tmpjarpath = "sto... | 676 | 692 | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... |
nimbus | Syntax: [storm nimbus]
Launches the nimbus daemon. This command should be run under
supervision with a tool like daemontools or monit.
See Setting up a Storm cluster for more information.
(http://storm.apache.org/documentation/Setting-up-a-Storm-cluster) | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... | def nimbus(klass="org.apache.storm.daemon.nimbus.Nimbus"):
"""Syntax: [storm nimbus]
Launches the nimbus daemon. This command should be run under
supervision with a tool like daemontools or monit.
See Setting up a Storm cluster for more information.
(http://storm.apache.org/documentation/Setting-u... | 712 | 732 | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... |
pacemaker | Syntax: [storm pacemaker]
Launches the Pacemaker daemon. This command should be run under
supervision with a tool like daemontools or monit.
See Setting up a Storm cluster for more information.
(http://storm.apache.org/documentation/Setting-up-a-Storm-cluster) | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... | def pacemaker(klass="org.apache.storm.pacemaker.Pacemaker"):
"""Syntax: [storm pacemaker]
Launches the Pacemaker daemon. This command should be run under
supervision with a tool like daemontools or monit.
See Setting up a Storm cluster for more information.
(http://storm.apache.org/documentation/S... | 734 | 754 | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... |
supervisor | Syntax: [storm supervisor]
Launches the supervisor daemon. This command should be run
under supervision with a tool like daemontools or monit.
See Setting up a Storm cluster for more information.
(http://storm.apache.org/documentation/Setting-up-a-Storm-cluster) | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... | def supervisor(klass="org.apache.storm.daemon.supervisor.Supervisor"):
"""Syntax: [storm supervisor]
Launches the supervisor daemon. This command should be run
under supervision with a tool like daemontools or monit.
See Setting up a Storm cluster for more information.
(http://storm.apache.org/doc... | 756 | 776 | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... |
ui | Syntax: [storm ui]
Launches the UI daemon. The UI provides a web interface for a Storm
cluster and shows detailed stats about running topologies. This command
should be run under supervision with a tool like daemontools or monit.
See Setting up a Storm cluster for more information.
(http://storm.apache.org/documentat... | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... | def ui():
"""Syntax: [storm ui]
Launches the UI daemon. The UI provides a web interface for a Storm
cluster and shows detailed stats about running topologies. This command
should be run under supervision with a tool like daemontools or monit.
See Setting up a Storm cluster for more information.
... | 778 | 802 | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... |
logviewer | Syntax: [storm logviewer]
Launches the log viewer daemon. It provides a web interface for viewing
storm log files. This command should be run under supervision with a
tool like daemontools or monit.
See Setting up a Storm cluster for more information.
(http://storm.apache.org/documentation/Setting-up-a-Storm-cluster) | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... | def logviewer():
"""Syntax: [storm logviewer]
Launches the log viewer daemon. It provides a web interface for viewing
storm log files. This command should be run under supervision with a
tool like daemontools or monit.
See Setting up a Storm cluster for more information.
(http://storm.apache.o... | 804 | 828 | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... |
drpc | Syntax: [storm drpc]
Launches a DRPC daemon. This command should be run under supervision
with a tool like daemontools or monit.
See Distributed RPC for more information.
(http://storm.apache.org/documentation/Distributed-RPC) | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... | def drpc():
"""Syntax: [storm drpc]
Launches a DRPC daemon. This command should be run under supervision
with a tool like daemontools or monit.
See Distributed RPC for more information.
(http://storm.apache.org/documentation/Distributed-RPC)
"""
cppaths = [CLUSTER_CONF_DIR]
jvmopts = p... | 850 | 872 | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... |
dev_zookeeper | Syntax: [storm dev-zookeeper]
Launches a fresh Zookeeper server using "dev.zookeeper.path" as its local dir and
"storm.zookeeper.port" as its port. This is only intended for development/testing, the
Zookeeper instance launched is not configured to be used in production. | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... | def dev_zookeeper():
"""Syntax: [storm dev-zookeeper]
Launches a fresh Zookeeper server using "dev.zookeeper.path" as its local dir and
"storm.zookeeper.port" as its port. This is only intended for development/testing, the
Zookeeper instance launched is not configured to be used in production.
"""
... | 874 | 891 | #!/usr/bin/env python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "L... |
flatten_nested_df | Flatten the lists and dictionaries of the input data frame.
Parameters
----------
df : pd.DataFrame
The input data frame
include_prefix : bool, optional
If True, then it will prefix the new column name with the original column name.
Defaults to True.
seperator : str, optional
The seperator to use betwe... | """Amazon Neptune Module."""
import logging
import re
from typing import Any
import pandas as pd
from gremlin_python.process.graph_traversal import GraphTraversalSource, __
from gremlin_python.process.translator import Translator
from gremlin_python.process.traversal import Cardinality, T
from gremlin_python.structur... | def flatten_nested_df(
df: pd.DataFrame, include_prefix: bool = True, seperator: str = "_", recursive: bool = True
) -> pd.DataFrame:
"""Flatten the lists and dictionaries of the input data frame.
Parameters
----------
df : pd.DataFrame
The input data frame
include_prefix : bool, option... | 356 | 416 | """Amazon Neptune Module."""
import logging
import re
from typing import Any
import pandas as pd
from gremlin_python.process.graph_traversal import GraphTraversalSource, __
from gremlin_python.process.translator import Translator
from gremlin_python.process.traversal import Cardinality, T
from gremlin_python.structur... |
validate | Validate block
1. check block index (is the next block in the blockchain state)
2. check previous hash (is the hash of the previous block)
3. check forger wallet (is lottery member?)
4. check block signature
5. validate transactions
:param is_test_net: if True ignore InsufficientBalanceError and NonLotteryMemberError
... | from typing import List
import json
import hashlib
from time import time
from base64 import b64decode, b64encode
import ecdsa
from config import ECDSA_CURVE
from .constants import BLOCK_COUNT_FREEZE_WALLET_LOTTERY_AFTER_WIN, DEVELOPER_KEY
from .transaction import Transaction
from .exceptions import (
ValidationEr... | def validate(self, blockchain_state, is_test_net=False):
"""
Validate block
1. check block index (is the next block in the blockchain state)
2. check previous hash (is the hash of the previous block)
3. check forger wallet (is lottery member?)
4. check block signature... | 121 | 156 | from typing import List
import json
import hashlib
from time import time
from base64 import b64decode, b64encode
import ecdsa
from config import ECDSA_CURVE
from .constants import BLOCK_COUNT_FREEZE_WALLET_LOTTERY_AFTER_WIN, DEVELOPER_KEY
from .transaction import Transaction
from .exceptions import (
ValidationEr... |
__init__ | AddressTokensTransactionUnconfirmedOmnilayertoken - a model defined in OpenAPI
Args:
name (str): Specifies the name of the token.
property_id (str): Defines the ID of the property for Omni Layer.
transaction_type (str): Defines the type of the transaction made.
created_by_transaction_id (str): The tran... | """
CryptoAPIs
Crypto APIs 2.0 is a complex and innovative infrastructure layer that radically simplifies the development of any Blockchain and Crypto related applications. Organized around REST, Crypto APIs 2.0 can assist both novice Bitcoin/Ethereum enthusiasts and crypto experts with the development of thei... | @convert_js_args_to_python_args
def __init__(self, name, property_id, transaction_type, created_by_transaction_id, amount, *args, **kwargs): # noqa: E501
"""AddressTokensTransactionUnconfirmedOmnilayertoken - a model defined in OpenAPI
Args:
name (str): Specifies the name of the to... | 107 | 186 | """
CryptoAPIs
Crypto APIs 2.0 is a complex and innovative infrastructure layer that radically simplifies the development of any Blockchain and Crypto related applications. Organized around REST, Crypto APIs 2.0 can assist both novice Bitcoin/Ethereum enthusiasts and crypto experts with the development of thei... |
get_schema | A summary of information based on the results of executing a TestScript.
id: unique id for the element within a resource (for internal references). This
may be any string value that does not contain spaces.
extension: May be used to represent additional information that is not part of the basic
definition of... | from typing import Union, List, Optional
from pyspark.sql.types import StructType, StructField, StringType, ArrayType, DataType
# This file is auto-generated by generate_schema so do not edit manually
# noinspection PyPep8Naming
class TestReport_TeardownSchema:
"""
A summary of information based on the resul... | @staticmethod
def get_schema(
max_nesting_depth: Optional[int] = 6,
nesting_depth: int = 0,
nesting_list: List[str] = [],
max_recursion_limit: Optional[int] = 2,
include_extension: Optional[bool] = False,
extension_fields: Optional[List[str]] = [
"valu... | 14 | 122 | from typing import Union, List, Optional
from pyspark.sql.types import StructType, StructField, StringType, ArrayType, DataType
# This file is auto-generated by generate_schema so do not edit manually
# noinspection PyPep8Naming
class TestReport_TeardownSchema:
"""
A summary of information based on the resul... |
genseq2 | generate a sequences library based of wtseq
@param: list of tupel, [ (resid, library), (resid, library), ...]
@returns: list of sequences | #!/usr/bin/env python
"""
Generate Sequence from a pdbfile and to modify the squences.
Author: {0} ({1})
This module is part of CADEE, the framework for
Computer-Aided Directed Evolution of Enzymes.
"""
from __future__ import print_function
import logging
import os
import sys
import time
import config
__author_... | def genseq2(wtseq, mutations, keepdupes=False):
""" generate a sequences library based of wtseq
@param: list of tupel, [ (resid, library), (resid, library), ...]
@returns: list of sequences
"""
def estimator(mutations):
est = 1
for mut in mutations:
lib = mut[1]
... | 39 | 76 | #!/usr/bin/env python
"""
Generate Sequence from a pdbfile and to modify the squences.
Author: {0} ({1})
This module is part of CADEE, the framework for
Computer-Aided Directed Evolution of Enzymes.
"""
from __future__ import print_function
import logging
import os
import sys
import time
import config
__author_... |
create | This method allows user to create CVE exceptions.
Args:
package_name (str): The name of the vulnerable
package to be excepted.
package_version (str): The version number of the
vulnerable package.
scope (str): Possible values are server, group and all.
... | """CveException Class"""
import cloudpassage.sanity as sanity
from .halo_endpoint import HaloEndpoint
from .http_helper import HttpHelper
class CveExceptions(HaloEndpoint):
"""Initializing the CveException class:
Args:
session (:class:`cloudpassage.HaloSession`): This will define how you
... | def create(self, package_name, package_version, scope="all", scope_id=''):
"""This method allows user to create CVE exceptions.
Args:
package_name (str): The name of the vulnerable
package to be excepted.
package_version (str): The version num... | 37 | 74 | """CveException Class"""
import cloudpassage.sanity as sanity
from .halo_endpoint import HaloEndpoint
from .http_helper import HttpHelper
class CveExceptions(HaloEndpoint):
"""Initializing the CveException class:
Args:
session (:class:`cloudpassage.HaloSession`): This will define how you
... |
get_symbol | This is a helper function to get a companies full
name based on the stock symbol.
Functional usage example:
```python
import janitor.finance
janitor.finance.get_symbol("aapl")
```
:param symbol: This is our stock symbol that we use
to query the api for the companies full name.
:return: Company full name | """
Finance-specific data cleaning functions.
"""
import json
from datetime import date
from functools import lru_cache
import pandas as pd
import pandas_flavor as pf
import requests
from janitor.errors import JanitorError
from .utils import check, deprecated_alias, is_connected
currency_set = {
"AUD",
"B... | def get_symbol(symbol: str):
"""
This is a helper function to get a companies full
name based on the stock symbol.
Functional usage example:
```python
import janitor.finance
janitor.finance.get_symbol("aapl")
```
:param symbol: This is our stock symbol that we use
to quer... | 719 | 745 | """
Finance-specific data cleaning functions.
"""
import json
from datetime import date
from functools import lru_cache
import pandas as pd
import pandas_flavor as pf
import requests
from janitor.errors import JanitorError
from .utils import check, deprecated_alias, is_connected
currency_set = {
"AUD",
"B... |
datapackage_to_markdown | datapackage: datapackage schema as a dictionary
returns: str with the Markdown documentation | import os
import subprocess
from tempfile import NamedTemporaryFile
from jinja2 import Template
# This file designed in a way that is independent of Django
# in order to be easy (but changes are required) to be used
# outside Django in the future
# That's why is using jinja2 as a template language instead of
# Djang... | def datapackage_to_markdown(datapackage):
"""
datapackage: datapackage schema as a dictionary
returns: str with the Markdown documentation
"""
template = Template(template_to_md)
rendered = template.render(datapackage)
return rendered.encode('utf-8') | 27 | 35 | import os
import subprocess
from tempfile import NamedTemporaryFile
from jinja2 import Template
# This file designed in a way that is independent of Django
# in order to be easy (but changes are required) to be used
# outside Django in the future
# That's why is using jinja2 as a template language instead of
# Djang... |
datapackage_to_pdf | datapackage: datapackage schema as a dictionary
returns: binary content with the PDF or None if the conversion failed. | import os
import subprocess
from tempfile import NamedTemporaryFile
from jinja2 import Template
# This file designed in a way that is independent of Django
# in order to be easy (but changes are required) to be used
# outside Django in the future
# That's why is using jinja2 as a template language instead of
# Djang... | def datapackage_to_pdf(datapackage):
"""
datapackage: datapackage schema as a dictionary
returns: binary content with the PDF or None if the conversion failed.
"""
markdown = datapackage_to_markdown(datapackage)
f = NamedTemporaryFile(suffix='.pdf', delete=False)
f.close()
command_line... | 38 | 69 | import os
import subprocess
from tempfile import NamedTemporaryFile
from jinja2 import Template
# This file designed in a way that is independent of Django
# in order to be easy (but changes are required) to be used
# outside Django in the future
# That's why is using jinja2 as a template language instead of
# Djang... |
closest | Find closest entity.
Closest to home:
closest(states)
closest(states.device_tracker)
closest('group.children')
closest(states.group.children)
Closest to a point:
closest(23.456, 23.456, 'group.children')
closest('zone.school', 'group.children')
closest(states.zone.school, 'group.children')... | """Template helper methods for rendering strings with Home Assistant data."""
from __future__ import annotations
from ast import literal_eval
import asyncio
import base64
import collections.abc
from contextlib import suppress
from contextvars import ContextVar
from datetime import datetime, timedelta
from functools im... | def closest(hass, *args):
"""Find closest entity.
Closest to home:
closest(states)
closest(states.device_tracker)
closest('group.children')
closest(states.group.children)
Closest to a point:
closest(23.456, 23.456, 'group.children')
closest('zone.school', 'g... | 909 | 969 | """Template helper methods for rendering strings with Home Assistant data."""
from __future__ import annotations
from ast import literal_eval
import asyncio
import base64
import collections.abc
from contextlib import suppress
from contextvars import ContextVar
from datetime import datetime, timedelta
from functools im... |
relative_time | Take a datetime and return its "age" as a string.
The age can be in second, minute, hour, day, month or year. Only the
biggest unit is considered, e.g. if it's 2 days and 3 hours, "2 days" will
be returned.
Make sure date is not in the future, or else it will return None.
If the input are not a datetime object the in... | """Template helper methods for rendering strings with Home Assistant data."""
from __future__ import annotations
from ast import literal_eval
import asyncio
import base64
import collections.abc
from contextlib import suppress
from contextvars import ContextVar
from datetime import datetime, timedelta
from functools im... | def relative_time(value):
"""
Take a datetime and return its "age" as a string.
The age can be in second, minute, hour, day, month or year. Only the
biggest unit is considered, e.g. if it's 2 days and 3 hours, "2 days" will
be returned.
Make sure date is not in the future, or else it will retur... | 1,325 | 1,342 | """Template helper methods for rendering strings with Home Assistant data."""
from __future__ import annotations
from ast import literal_eval
import asyncio
import base64
import collections.abc
from contextlib import suppress
from contextvars import ContextVar
from datetime import datetime, timedelta
from functools im... |
async_render | Render given template.
This method must be run in the event loop.
If limited is True, the template is not allowed to access any function or filter depending on hass or the state machine. | """Template helper methods for rendering strings with Home Assistant data."""
from __future__ import annotations
from ast import literal_eval
import asyncio
import base64
import collections.abc
from contextlib import suppress
from contextvars import ContextVar
from datetime import datetime, timedelta
from functools im... | @callback
def async_render(
self,
variables: TemplateVarsType = None,
parse_result: bool = True,
limited: bool = False,
strict: bool = False,
**kwargs: Any,
) -> Any:
"""Render given template.
This method must be run in the event loop.
... | 362 | 397 | """Template helper methods for rendering strings with Home Assistant data."""
from __future__ import annotations
from ast import literal_eval
import asyncio
import base64
import collections.abc
from contextlib import suppress
from contextvars import ContextVar
from datetime import datetime, timedelta
from functools im... |
async_render_will_timeout | Check to see if rendering a template will timeout during render.
This is intended to check for expensive templates
that will make the system unstable. The template
is rendered in the executor to ensure it does not
tie up the event loop.
This function is not a security control and is only
intended to be used as a saf... | """Template helper methods for rendering strings with Home Assistant data."""
from __future__ import annotations
from ast import literal_eval
import asyncio
import base64
import collections.abc
from contextlib import suppress
from contextvars import ContextVar
from datetime import datetime, timedelta
from functools im... | async def async_render_will_timeout(
self,
timeout: float,
variables: TemplateVarsType = None,
strict: bool = False,
**kwargs: Any,
) -> bool:
"""Check to see if rendering a template will timeout during render.
This is intended to check for expensive temp... | 432 | 485 | """Template helper methods for rendering strings with Home Assistant data."""
from __future__ import annotations
from ast import literal_eval
import asyncio
import base64
import collections.abc
from contextlib import suppress
from contextvars import ContextVar
from datetime import datetime, timedelta
from functools im... |
async_render_with_possible_json_value | Render template with value exposed.
If valid JSON will expose value_json too.
This method must be run in the event loop. | """Template helper methods for rendering strings with Home Assistant data."""
from __future__ import annotations
from ast import literal_eval
import asyncio
import base64
import collections.abc
from contextlib import suppress
from contextvars import ContextVar
from datetime import datetime, timedelta
from functools im... | @callback
def async_render_with_possible_json_value(
self, value, error_value=_SENTINEL, variables=None
):
"""Render template with value exposed.
If valid JSON will expose value_json too.
This method must be run in the event loop.
"""
if self.is_static:
... | 528 | 562 | """Template helper methods for rendering strings with Home Assistant data."""
from __future__ import annotations
from ast import literal_eval
import asyncio
import base64
import collections.abc
from contextlib import suppress
from contextvars import ContextVar
from datetime import datetime, timedelta
from functools im... |
distance_weighted_triplet_loss | distance weighted sampling + triplet loss
Args:
labels: 1-D. tf.int32 `Tensor` with shape [batch_size] of multi-class integer labels.
embeddings: 2-D float `Tensor` of embedding vectors. Embeddings should be l2 normalized.
margin: Float, margin term in the loss function.
squared: Boolean, whether or not... | import tensorflow as tf
from tensorflow.contrib.losses.python.metric_learning.metric_loss_ops import pairwise_distance
def dist_weighted_sampling(labels, embeddings, high_var_threshold=0.5, nonzero_loss_threshold=1.4, neg_multiplier=1):
"""
Distance weighted sampling.
# References
- [sampling matt... | def distance_weighted_triplet_loss(labels, embeddings, margin=1.0, squared=False, high_var_threshold=0.5,
nonzero_loss_threshold=1.4, neg_multiplier=1):
"""distance weighted sampling + triplet loss
Args:
labels: 1-D. tf.int32 `Tensor` with shape [batch_size] of multi-c... | 145 | 175 | import tensorflow as tf
from tensorflow.contrib.losses.python.metric_learning.metric_loss_ops import pairwise_distance
def dist_weighted_sampling(labels, embeddings, high_var_threshold=0.5, nonzero_loss_threshold=1.4, neg_multiplier=1):
"""
Distance weighted sampling.
# References
- [sampling matt... |
calculate_score_for_each_mood | 利用谷歌nima模型对图片进行评分
paper: https://arxiv.org/abs/1709.05424
pytorch model: https://github.com/truskovskiyk/nima.pytorch.git
计算每条说说中图片的平均分
对于没有图片的按均值进行填充
:return: | from src.analysis.QQZoneAnalysis import QQZoneAnalysis
import json
from src.util.constant import BASE_DIR
from src.util.util import get_mktime2
import pandas as pd
import re
from src.analysis.SentimentClassify import SentimentClassify
class TrainMood(QQZoneAnalysis):
"""
生成各种训练需要的数据集
"""
def __init_... | def calculate_score_for_each_mood(self):
"""
利用谷歌nima模型对图片进行评分
paper: https://arxiv.org/abs/1709.05424
pytorch model: https://github.com/truskovskiyk/nima.pytorch.git
计算每条说说中图片的平均分
对于没有图片的按均值进行填充
:return:
"""
# nima模型预测结果文件
self.IMAGE_... | 46 | 71 | from src.analysis.QQZoneAnalysis import QQZoneAnalysis
import json
from src.util.constant import BASE_DIR
from src.util.util import get_mktime2
import pandas as pd
import re
from src.analysis.SentimentClassify import SentimentClassify
class TrainMood(QQZoneAnalysis):
"""
生成各种训练需要的数据集
"""
def __init_... |
calculate_send_time | 计算每条说说的发送时间
分为以下五种类型：
0.午夜：0点-4点
1.凌晨：4点-8点
2.上午：8点-12点
3.下午：12点-16点
4.傍晚：16点-20点
5.晚上：20点-24点
:return: | from src.analysis.QQZoneAnalysis import QQZoneAnalysis
import json
from src.util.constant import BASE_DIR
from src.util.util import get_mktime2
import pandas as pd
import re
from src.analysis.SentimentClassify import SentimentClassify
class TrainMood(QQZoneAnalysis):
"""
生成各种训练需要的数据集
"""
def __init_... | def calculate_send_time(self):
"""
计算每条说说的发送时间
分为以下五种类型：
0.午夜：0点-4点
1.凌晨：4点-8点
2.上午：8点-12点
3.下午：12点-16点
4.傍晚：16点-20点
5.晚上：20点-24点
:return:
"""
day_begin_time = self.mood_data_df['time'].apply(lambda x: get_mktime2(x))
... | 73 | 92 | from src.analysis.QQZoneAnalysis import QQZoneAnalysis
import json
from src.util.constant import BASE_DIR
from src.util.util import get_mktime2
import pandas as pd
import re
from src.analysis.SentimentClassify import SentimentClassify
class TrainMood(QQZoneAnalysis):
"""
生成各种训练需要的数据集
"""
def __init_... |
create_namespaced_job | create a Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_namespaced_job(namespace, body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str namespace: object name and auth scope, such as for te... | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.13.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import sys
import os
i... | def create_namespaced_job(self, namespace, body, **kwargs):
"""
create a Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_namespaced_job(namespace, body, async_req=True)
... | 38 | 61 | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.13.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import sys
import os
i... |
create_namespaced_job_with_http_info | create a Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_namespaced_job_with_http_info(namespace, body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str namespace: object name and auth scope,... | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.13.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import sys
import os
i... | def create_namespaced_job_with_http_info(self, namespace, body, **kwargs):
"""
create a Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_namespaced_job_with_http_info(namespac... | 63 | 151 | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.13.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import sys
import os
i... |
get_api_resources | get available resources
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_api_resources(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: V1APIResourceList
If the method is called asynchronously... | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.13.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import sys
import os
i... | def get_api_resources(self, **kwargs):
"""
get available resources
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_api_resources(async_req=True)
>>> result = thread.get()
... | 412 | 430 | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.13.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import sys
import os
i... |
get_api_resources_with_http_info | get available resources
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_api_resources_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:return: V1APIResourceList
If the method is called... | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.13.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import sys
import os
i... | def get_api_resources_with_http_info(self, **kwargs):
"""
get available resources
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_api_resources_with_http_info(async_req=True)
... | 432 | 498 | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.13.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import sys
import os
i... |
read_namespaced_job | read the specified Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.read_namespaced_job(name, namespace, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: name of the Job (required)
:param str n... | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.13.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import sys
import os
i... | def read_namespaced_job(self, name, namespace, **kwargs):
"""
read the specified Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.read_namespaced_job(name, namespace, async_req=True)... | 993 | 1,016 | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.13.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import sys
import os
i... |
read_namespaced_job_with_http_info | read the specified Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.read_namespaced_job_with_http_info(name, namespace, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: name of the Job (require... | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.13.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import sys
import os
i... | def read_namespaced_job_with_http_info(self, name, namespace, **kwargs):
"""
read the specified Job
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.read_namespaced_job_with_http_info(na... | 1,018 | 1,106 | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.13.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import sys
import os
i... |
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