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1c47596b8a5035d0ebdff520ba15dc9448d843dc | 7,887 | py | Python | sphinx/builders/singlehtml.py | choldgraf/sphinx | 97d2f9fbf8eab478908af981c1a36aed1d75a4ce | [
"BSD-2-Clause"
] | null | null | null | sphinx/builders/singlehtml.py | choldgraf/sphinx | 97d2f9fbf8eab478908af981c1a36aed1d75a4ce | [
"BSD-2-Clause"
] | null | null | null | sphinx/builders/singlehtml.py | choldgraf/sphinx | 97d2f9fbf8eab478908af981c1a36aed1d75a4ce | [
"BSD-2-Clause"
] | null | null | null | """
sphinx.builders.singlehtml
~~~~~~~~~~~~~~~~~~~~~~~~~~
Single HTML builders.
:copyright: Copyright 2007-2020 by the Sphinx team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
from os import path
from typing import Any, Dict, List, Tuple, Union
from docutils import nodes
from docuti... | 37.557143 | 91 | 0.613034 |
from os import path
from typing import Any, Dict, List, Tuple, Union
from docutils import nodes
from docutils.nodes import Node
from sphinx.application import Sphinx
from sphinx.builders.html import StandaloneHTMLBuilder
from sphinx.deprecation import RemovedInSphinx40Warning, deprecated_alias
from sphinx.environmen... | true | true |
1c4759c0cc109175a0ac69b07dc02aafad9b54f6 | 26,867 | py | Python | src/test/isolation2/sql_isolation_testcase.py | kalensk/gpdb | 52d17ad2057c0b74360e4693f683cc537178d86a | [
"PostgreSQL",
"Apache-2.0"
] | null | null | null | src/test/isolation2/sql_isolation_testcase.py | kalensk/gpdb | 52d17ad2057c0b74360e4693f683cc537178d86a | [
"PostgreSQL",
"Apache-2.0"
] | null | null | null | src/test/isolation2/sql_isolation_testcase.py | kalensk/gpdb | 52d17ad2057c0b74360e4693f683cc537178d86a | [
"PostgreSQL",
"Apache-2.0"
] | null | null | null | """
Copyright (c) 2004-Present Pivotal Software, Inc.
This program and the accompanying materials are made available under
the terms of the 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.... | 40.1 | 193 | 0.544274 |
import pygresql.pg
import os
import subprocess
import re
import multiprocessing
import tempfile
import time
import sys
import socket
from optparse import OptionParser
import traceback
def is_digit(n):
try:
int(n)
return True
except ValueError:
return False
def load_helper_file(helper... | true | true |
1c475a28b1d83edba4b3c614df0405e3f55f79f0 | 53,813 | py | Python | lib/sqlalchemy/sql/sqltypes.py | mjpieters/sqlalchemy | a8efeb6c052330b7b8d44960132d638b08d42d18 | [
"MIT"
] | null | null | null | lib/sqlalchemy/sql/sqltypes.py | mjpieters/sqlalchemy | a8efeb6c052330b7b8d44960132d638b08d42d18 | [
"MIT"
] | null | null | null | lib/sqlalchemy/sql/sqltypes.py | mjpieters/sqlalchemy | a8efeb6c052330b7b8d44960132d638b08d42d18 | [
"MIT"
] | null | null | null | # sql/sqltypes.py
# Copyright (C) 2005-2013 the SQLAlchemy authors and contributors <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
"""SQL specific types.
"""
import datetime as dt
import codecs
from .type_api impor... | 33.115692 | 93 | 0.607474 |
import datetime as dt
import codecs
from .type_api import TypeEngine, TypeDecorator, to_instance
from .elements import quoted_name, type_coerce
from .default_comparator import _DefaultColumnComparator
from .. import exc, util, processors
from .base import _bind_or_error, SchemaEventTarget
from . import operator... | true | true |
1c475b01d3f2a15d38e7166284a6e4891d718fa6 | 4,466 | py | Python | tinkt/cmap_utils.py | claydodo/tinkt | dfd07fe7cad34c0d5a1ec0e03a6437a502410918 | [
"Unlicense"
] | null | null | null | tinkt/cmap_utils.py | claydodo/tinkt | dfd07fe7cad34c0d5a1ec0e03a6437a502410918 | [
"Unlicense"
] | null | null | null | tinkt/cmap_utils.py | claydodo/tinkt | dfd07fe7cad34c0d5a1ec0e03a6437a502410918 | [
"Unlicense"
] | null | null | null | # -*- coding:utf-8 -*-
# cmap utils
import six
import numpy as np
from matplotlib import cm as mpl_cm
from matplotlib import colors as mpl_colors
from . import cm as tinkt_cm
CM_FAMILIES = {
'mpl': mpl_cm,
'tinkt': tinkt_cm
}
def set_under_over_bad_colors(cmap, under=None, over=None, bad=None):
if un... | 36.606557 | 140 | 0.638155 |
import six
import numpy as np
from matplotlib import cm as mpl_cm
from matplotlib import colors as mpl_colors
from . import cm as tinkt_cm
CM_FAMILIES = {
'mpl': mpl_cm,
'tinkt': tinkt_cm
}
def set_under_over_bad_colors(cmap, under=None, over=None, bad=None):
if under is not None:
cmap.set_... | true | true |
1c475e064511372aa11c413ea6aad9da5ab26d2e | 10,185 | py | Python | test_nfc.py | tnoumar/ST-M24SR64-NFC | 6f5b2ec574fb51d3ffc458b562eb0f6df657a6a4 | [
"MIT"
] | null | null | null | test_nfc.py | tnoumar/ST-M24SR64-NFC | 6f5b2ec574fb51d3ffc458b562eb0f6df657a6a4 | [
"MIT"
] | null | null | null | test_nfc.py | tnoumar/ST-M24SR64-NFC | 6f5b2ec574fb51d3ffc458b562eb0f6df657a6a4 | [
"MIT"
] | null | null | null | # Author: Taha NOUMAR tnoumar@enseirb-matmeca.fr
# DATA SHEETS
# https://www.st.com/resource/en/datasheet/m24sr64-y.pdf
# CONFIGURATION
# tag type: M24SR64Y
# eeprom size: 64KBit
# I2C address: 0x56
import machine
import binascii
import utime
def byte0(b):
return b & 0x00FF
def byte1(b):
return ... | 34.880137 | 149 | 0.525282 |
import machine
import binascii
import utime
def byte0(b):
return b & 0x00FF
def byte1(b):
return (b & 0xFF00) >> 8
class NFCTag():
I2C_ADDRESS_7BIT = 0x56
SYSTEM = 0xE101
CC = 0xE103
NDEF = 0x0001
NDEF_HEADER=[0xd1, 0x01, 0x00, 0x54, 0x02, 0x65, 0x6e]
verbose = True
... | true | true |
1c475e204df91f662e807804eaf4a475b120362c | 18,766 | py | Python | OgreVertexBuffer.py | lamogui/ogre_blender_importer | 4742e27909f57598889bdfa8a956001c6776d056 | [
"MIT"
] | 13 | 2016-01-23T08:00:34.000Z | 2022-02-16T10:27:08.000Z | OgreVertexBuffer.py | lamogui/ogre_blender_importer | 4742e27909f57598889bdfa8a956001c6776d056 | [
"MIT"
] | 3 | 2016-09-20T15:22:28.000Z | 2021-05-31T01:25:05.000Z | OgreVertexBuffer.py | lamogui/ogre_blender_importer | 4742e27909f57598889bdfa8a956001c6776d056 | [
"MIT"
] | 9 | 2016-07-13T23:23:55.000Z | 2022-03-24T21:22:53.000Z | from enum import IntEnum;
from struct import unpack_from;
try:
from OgreHardwareBuffer import OgreFakeHardwareBuffer
except ImportError as e:
directory = os.path.dirname(os.path.realpath(__file__));
print("Import error: " + str(e) + " manual compilation" );
srcfile="OgreHardwareBuffer.py"; exec(compile... | 37.013807 | 113 | 0.632154 | from enum import IntEnum;
from struct import unpack_from;
try:
from OgreHardwareBuffer import OgreFakeHardwareBuffer
except ImportError as e:
directory = os.path.dirname(os.path.realpath(__file__));
print("Import error: " + str(e) + " manual compilation" );
srcfile="OgreHardwareBuffer.py"; exec(compile... | true | true |
1c475e3625b49e36e394562fd00fe1877c86b2a5 | 4,692 | py | Python | env/Lib/site-packages/sqlalchemy/dialects/sqlite/pysqlcipher.py | aammjian/cotton | f72b814f795f79a4054688e465c8b0ae5560f3b7 | [
"Apache-2.0"
] | 5,079 | 2015-01-01T03:39:46.000Z | 2022-03-31T07:38:22.000Z | env/Lib/site-packages/sqlalchemy/dialects/sqlite/pysqlcipher.py | aammjian/cotton | f72b814f795f79a4054688e465c8b0ae5560f3b7 | [
"Apache-2.0"
] | 1,623 | 2015-01-01T08:06:24.000Z | 2022-03-30T19:48:52.000Z | env/Lib/site-packages/sqlalchemy/dialects/sqlite/pysqlcipher.py | aammjian/cotton | f72b814f795f79a4054688e465c8b0ae5560f3b7 | [
"Apache-2.0"
] | 2,033 | 2015-01-04T07:18:02.000Z | 2022-03-28T19:55:47.000Z | # sqlite/pysqlcipher.py
# Copyright (C) 2005-2020 the SQLAlchemy authors and contributors
# <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
"""
.. dialect:: sqlite+pysqlcipher
:name: pysqlcipher
:dbapi: pysqlci... | 33.755396 | 96 | 0.702472 |
from __future__ import absolute_import
from .pysqlite import SQLiteDialect_pysqlite
from ... import pool
from ...engine import url as _url
class SQLiteDialect_pysqlcipher(SQLiteDialect_pysqlite):
driver = "pysqlcipher"
pragmas = ("kdf_iter", "cipher", "cipher_page_size", "cipher_use_hmac")
@cla... | true | true |
1c475e7b96a4c7661d55f944dc305ea0b892c612 | 2,727 | py | Python | facerec_py/facerec/svm.py | idf/FaceReader | d649bf7ca7f9cf66ac99e81a5187cfcc2b54f49d | [
"MIT"
] | 7 | 2015-04-17T02:12:32.000Z | 2018-08-08T01:29:24.000Z | facerec_py/facerec/svm.py | idf/FaceReader | d649bf7ca7f9cf66ac99e81a5187cfcc2b54f49d | [
"MIT"
] | null | null | null | facerec_py/facerec/svm.py | idf/FaceReader | d649bf7ca7f9cf66ac99e81a5187cfcc2b54f49d | [
"MIT"
] | 4 | 2017-08-26T11:44:20.000Z | 2021-06-13T11:50:11.000Z | from facerec_py.facerec.classifier import SVM
from facerec_py.facerec.validation import KFoldCrossValidation
from facerec_py.facerec.model import PredictableModel
from svmutil import *
from itertools import product
import numpy as np
import logging
def range_f(begin, end, step):
seq = []
while True:
i... | 35.881579 | 171 | 0.6641 | from facerec_py.facerec.classifier import SVM
from facerec_py.facerec.validation import KFoldCrossValidation
from facerec_py.facerec.model import PredictableModel
from svmutil import *
from itertools import product
import numpy as np
import logging
def range_f(begin, end, step):
seq = []
while True:
i... | true | true |
1c475ea363209a3a683098d4d7dce556761ceb57 | 7,113 | py | Python | app/main.py | ri10073/tracardi-api | 828bc0939b3915af4c32906c65769c5b5fd992c3 | [
"MIT"
] | null | null | null | app/main.py | ri10073/tracardi-api | 828bc0939b3915af4c32906c65769c5b5fd992c3 | [
"MIT"
] | null | null | null | app/main.py | ri10073/tracardi-api | 828bc0939b3915af4c32906c65769c5b5fd992c3 | [
"MIT"
] | null | null | null | import logging
import os
import asyncio
from time import time
import elasticsearch
from fastapi.middleware.cors import CORSMiddleware
from fastapi import FastAPI, Request, Depends
from starlette.staticfiles import StaticFiles
from app.api import token_endpoint, rule_endpoint, resource_endpoint, event_endpoint, \
... | 34.529126 | 146 | 0.685505 | import logging
import os
import asyncio
from time import time
import elasticsearch
from fastapi.middleware.cors import CORSMiddleware
from fastapi import FastAPI, Request, Depends
from starlette.staticfiles import StaticFiles
from app.api import token_endpoint, rule_endpoint, resource_endpoint, event_endpoint, \
... | true | true |
1c475ed89de55cb2f813d13f5130ed38d968d27a | 3,572 | py | Python | bindings/python/ensmallen/datasets/string/sulfurospirillumhalorespiransdsm13726.py | AnacletoLAB/ensmallen_graph | b2c1b18fb1e5801712852bcc239f239e03076f09 | [
"MIT"
] | 5 | 2021-02-17T00:44:45.000Z | 2021-08-09T16:41:47.000Z | bindings/python/ensmallen/datasets/string/sulfurospirillumhalorespiransdsm13726.py | AnacletoLAB/ensmallen_graph | b2c1b18fb1e5801712852bcc239f239e03076f09 | [
"MIT"
] | 18 | 2021-01-07T16:47:39.000Z | 2021-08-12T21:51:32.000Z | bindings/python/ensmallen/datasets/string/sulfurospirillumhalorespiransdsm13726.py | AnacletoLAB/ensmallen | b2c1b18fb1e5801712852bcc239f239e03076f09 | [
"MIT"
] | 3 | 2021-01-14T02:20:59.000Z | 2021-08-04T19:09:52.000Z | """
This file offers the methods to automatically retrieve the graph Sulfurospirillum halorespirans DSM 13726.
The graph is automatically retrieved from the STRING repository.
References
---------------------
Please cite the following if you use the data:
```bib
@article{szklarczyk2019string,
title={STRING v11... | 34.019048 | 223 | 0.68505 | from typing import Dict
from ..automatic_graph_retrieval import AutomaticallyRetrievedGraph
from ...ensmallen import Graph
def SulfurospirillumHalorespiransDsm13726(
directed: bool = False,
preprocess: bool = True,
load_nodes: bool = True,
verbose: int = 2,
cache: bool = True,
cache_path: s... | true | true |
1c475eea3e539ba4d1a9a72d6264384d25b277e3 | 204 | py | Python | book/recursion/base_conversion.py | Web-Dev-Collaborative/algos | d280581d74ded382094283d931a202eb55fd8369 | [
"CC0-1.0"
] | 153 | 2015-12-24T00:32:23.000Z | 2022-02-24T06:00:29.000Z | book/recursion/base_conversion.py | Web-Dev-Collaborative/algos | d280581d74ded382094283d931a202eb55fd8369 | [
"CC0-1.0"
] | 78 | 2015-11-17T11:46:15.000Z | 2021-06-28T18:37:58.000Z | book/recursion/base_conversion.py | rhivent/algo-books-python | c4fa29616ca9a8a15ba40fa12d21fd8f35096d40 | [
"CC0-1.0"
] | 66 | 2015-11-02T03:38:02.000Z | 2022-03-05T17:36:26.000Z |
CHAR_FOR_INT = '0123456789abcdef'
def to_string(n, base):
if n < base:
return CHAR_FOR_INT[n]
return to_string(n // base, base) + CHAR_FOR_INT[n % base]
to_string(1453, 16) # => 5Ad
| 17 | 62 | 0.637255 |
CHAR_FOR_INT = '0123456789abcdef'
def to_string(n, base):
if n < base:
return CHAR_FOR_INT[n]
return to_string(n // base, base) + CHAR_FOR_INT[n % base]
to_string(1453, 16)
| true | true |
1c475efe695ee9d1a051a1330fe3636e05ac3b4c | 579 | py | Python | setup.py | tijko/shadow | 8ba9a8c2de2be51fa4eb387a179dbc0ac4641575 | [
"MIT"
] | null | null | null | setup.py | tijko/shadow | 8ba9a8c2de2be51fa4eb387a179dbc0ac4641575 | [
"MIT"
] | null | null | null | setup.py | tijko/shadow | 8ba9a8c2de2be51fa4eb387a179dbc0ac4641575 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
try:
from setuptools import setup, Extension, find_packages
except ImportError:
from distutils.core import setup, Extension
setup(
name = 'shadow',
version = '0.0.1',
author='Tim Konick',
author_email='konick781@gmail.com',
url='',
descri... | 26.318182 | 82 | 0.670121 |
try:
from setuptools import setup, Extension, find_packages
except ImportError:
from distutils.core import setup, Extension
setup(
name = 'shadow',
version = '0.0.1',
author='Tim Konick',
author_email='konick781@gmail.com',
url='',
description='Provides auxillary data on processes'... | true | true |
1c475f7fce5478d597fc5b92d7692cf01e58b4c5 | 1,559 | py | Python | thenewboston_node/business_logic/models/signed_change_request/base.py | nishp77/thenewboston-node | 158b1f1739b2c6c9c21c80e9da854ca141f1cf8f | [
"MIT"
] | null | null | null | thenewboston_node/business_logic/models/signed_change_request/base.py | nishp77/thenewboston-node | 158b1f1739b2c6c9c21c80e9da854ca141f1cf8f | [
"MIT"
] | null | null | null | thenewboston_node/business_logic/models/signed_change_request/base.py | nishp77/thenewboston-node | 158b1f1739b2c6c9c21c80e9da854ca141f1cf8f | [
"MIT"
] | null | null | null | import copy
import logging
from dataclasses import dataclass
from typing import ClassVar, Type, TypeVar
from thenewboston_node.business_logic.models.base import BaseDataclass
from thenewboston_node.core.logging import validates
from thenewboston_node.core.utils.cryptography import derive_public_key
from thenewboston_n... | 32.479167 | 92 | 0.77678 | import copy
import logging
from dataclasses import dataclass
from typing import ClassVar, Type, TypeVar
from thenewboston_node.business_logic.models.base import BaseDataclass
from thenewboston_node.core.logging import validates
from thenewboston_node.core.utils.cryptography import derive_public_key
from thenewboston_n... | true | true |
1c475f9553b3a997c5e9fa81cedd6cc86997d3a6 | 4,621 | py | Python | ProjectFiles/UMKCEntrepreneurialLegalServicesClinicDocuments/IntakeForm.py | KCLegalHackers/2016-Coding-For-Lawyers | 0e7aeaf3b446defcfa60c862dfac5627cedd1560 | [
"MIT"
] | 1 | 2021-01-15T00:34:54.000Z | 2021-01-15T00:34:54.000Z | ProjectFiles/UMKCEntrepreneurialLegalServicesClinicDocuments/IntakeForm.py | KCLegalHackers/2016-Coding-For-Lawyers | 0e7aeaf3b446defcfa60c862dfac5627cedd1560 | [
"MIT"
] | null | null | null | ProjectFiles/UMKCEntrepreneurialLegalServicesClinicDocuments/IntakeForm.py | KCLegalHackers/2016-Coding-For-Lawyers | 0e7aeaf3b446defcfa60c862dfac5627cedd1560 | [
"MIT"
] | null | null | null | print('Application for Services: To be considered for acceptance as a client, you must complete this form and return it to the Entrepreneurial Legal Services Clinic. Acceptance as a client of the UMKC Entrepreneurial Legal Services Clinic is not guaranteed, and is ultimately based upon available of resources and time t... | 78.322034 | 726 | 0.781649 | print('Application for Services: To be considered for acceptance as a client, you must complete this form and return it to the Entrepreneurial Legal Services Clinic. Acceptance as a client of the UMKC Entrepreneurial Legal Services Clinic is not guaranteed, and is ultimately based upon available of resources and time t... | true | true |
1c475fd0731889687d14b2130b367eb0ec6cbbcf | 1,749 | py | Python | setup.py | gaussian/django-sql-explorer | 844c8f59f8a3de31ef445e18356e97afded50dfc | [
"MIT"
] | null | null | null | setup.py | gaussian/django-sql-explorer | 844c8f59f8a3de31ef445e18356e97afded50dfc | [
"MIT"
] | null | null | null | setup.py | gaussian/django-sql-explorer | 844c8f59f8a3de31ef445e18356e97afded50dfc | [
"MIT"
] | null | null | null | import os
from setuptools import setup
from explorer import __version__
# Utility function to read the README file.
# Used for the long_description. It's nice, because now 1) we have a top level
# README file and 2) it's easier to type in the README file than to put a raw
# string in below ...
def read(fname):
... | 33.634615 | 79 | 0.612922 | import os
from setuptools import setup
from explorer import __version__
# README file and 2) it's easier to type in the README file than to put a raw
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
setup(
name="django-sql-explorer",
version=__version__,
author=... | true | true |
1c4760d27cf1f4616f2f9ae082e15fd487249b5e | 3,074 | py | Python | tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/keras_evaluation_test.py | andrewyguo/privacy | a33afde0c105ece6c48b17a80f13899cf3e7c1b3 | [
"Apache-2.0"
] | null | null | null | tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/keras_evaluation_test.py | andrewyguo/privacy | a33afde0c105ece6c48b17a80f13899cf3e7c1b3 | [
"Apache-2.0"
] | null | null | null | tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/keras_evaluation_test.py | andrewyguo/privacy | a33afde0c105ece6c48b17a80f13899cf3e7c1b3 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020, The TensorFlow 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 applicable law or agreed t... | 41.540541 | 125 | 0.737801 |
from absl.testing import absltest
import numpy as np
import tensorflow as tf
from tensorflow_privacy.privacy.privacy_tests.membership_inference_attack import keras_evaluation
from tensorflow_privacy.privacy.privacy_tests.membership_inference_attack.data_structures import AttackResults
from tensorflow_priv... | true | true |
1c47629a3fff6341d9f92bd348f85e77bc92bff9 | 282 | py | Python | html_downloader.py | etworker/TinySpider | b3e3c67451d361d064d915875582341b84f0d49d | [
"MIT"
] | null | null | null | html_downloader.py | etworker/TinySpider | b3e3c67451d361d064d915875582341b84f0d49d | [
"MIT"
] | null | null | null | html_downloader.py | etworker/TinySpider | b3e3c67451d361d064d915875582341b84f0d49d | [
"MIT"
] | null | null | null | __author__ = 'worker'
import urllib2
class HtmlDownloader(object):
def download(self, url):
if url is None:
return None
response = urllib2.urlopen(url)
if response.getcode() != 200:
return None
return response.read() | 20.142857 | 39 | 0.588652 | __author__ = 'worker'
import urllib2
class HtmlDownloader(object):
def download(self, url):
if url is None:
return None
response = urllib2.urlopen(url)
if response.getcode() != 200:
return None
return response.read() | true | true |
1c4762e3f34e2ed7a22ada6411f795fe540463d8 | 18,315 | py | Python | pfp/native/compat_io.py | krx/pfp-construct | 248c43781e15ba6eb0a9a6c0982a40c0e380d9b6 | [
"MIT"
] | null | null | null | pfp/native/compat_io.py | krx/pfp-construct | 248c43781e15ba6eb0a9a6c0982a40c0e380d9b6 | [
"MIT"
] | null | null | null | pfp/native/compat_io.py | krx/pfp-construct | 248c43781e15ba6eb0a9a6c0982a40c0e380d9b6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
"""
This module of native functions is implemented for
compatability with 010 editor functions. Some of these functions
are nops, some are fully implemented.
"""
from pytest import skip
import six
import sys
from pfp.native import native
import pfp.interp
import pfp.errors as ... | 29.82899 | 93 | 0.690527 |
from pytest import skip
import six
import sys
from pfp.native import native
import pfp.interp
import pfp.errors as errors
import pfp.bitwrap as bitwrap
from .. import utils
import construct as C
@native(name="BigEndian", ret=None)
def BigEndian(params, ctxt, scope, stream, coord):
if len(params) > 0:
... | true | true |
1c4763580d072403c8ca37e045aa564412f3085f | 3,801 | py | Python | train_utils.py | Jack407/TFCNs_source_code | f41466ad18457dd6335287112191e5daacf6d80d | [
"MIT"
] | null | null | null | train_utils.py | Jack407/TFCNs_source_code | f41466ad18457dd6335287112191e5daacf6d80d | [
"MIT"
] | null | null | null | train_utils.py | Jack407/TFCNs_source_code | f41466ad18457dd6335287112191e5daacf6d80d | [
"MIT"
] | null | null | null | import argparse
import logging
import random
import sys
import time
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from tensorboardX import SummaryWriter
from torch.nn.modules.loss import CrossEntropyLoss
from torch.utils.data import DataLoader
from tqdm import tqdm
from utils import ... | 43.689655 | 109 | 0.660353 | import argparse
import logging
import random
import sys
import time
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from tensorboardX import SummaryWriter
from torch.nn.modules.loss import CrossEntropyLoss
from torch.utils.data import DataLoader
from tqdm import tqdm
from utils import ... | true | true |
1c4763d96158d165cbae23a7f534f6cbe67be1a2 | 78,654 | py | Python | source/codegen/metadata/nifgen/functions.py | zhindes/grpc-device | 616aa913963098b12d276693895b7eb946f82df4 | [
"MIT"
] | null | null | null | source/codegen/metadata/nifgen/functions.py | zhindes/grpc-device | 616aa913963098b12d276693895b7eb946f82df4 | [
"MIT"
] | 23 | 2021-04-16T06:22:40.000Z | 2021-06-11T05:51:45.000Z | source/codegen/metadata/nifgen/functions.py | zhindes/grpc-device | 616aa913963098b12d276693895b7eb946f82df4 | [
"MIT"
] | 1 | 2021-10-30T09:23:49.000Z | 2021-10-30T09:23:49.000Z | functions = {
'AbortGeneration':{
'parameters':[
{
'name':'vi',
'direction':'in',
'type':'ViSession'
}
],
'returns':'ViStatus'
},
'AdjustSampleClockRelativeDelay':{
'parameters':[
{
... | 25.729146 | 61 | 0.309902 | functions = {
'AbortGeneration':{
'parameters':[
{
'name':'vi',
'direction':'in',
'type':'ViSession'
}
],
'returns':'ViStatus'
},
'AdjustSampleClockRelativeDelay':{
'parameters':[
{
... | true | true |
1c476528ea9e0ab39dc368d76e84eab32c00fa45 | 724 | py | Python | mldp/tests/transformers/test_seq_len_computer.py | prashantlv/mltoolkit | acc192bafc66b7661d541ef4f604b5e5ab7df5ca | [
"MIT"
] | 1 | 2020-10-03T05:23:31.000Z | 2020-10-03T05:23:31.000Z | mldp/tests/transformers/test_seq_len_computer.py | prashantlv/mltoolkit | acc192bafc66b7661d541ef4f604b5e5ab7df5ca | [
"MIT"
] | null | null | null | mldp/tests/transformers/test_seq_len_computer.py | prashantlv/mltoolkit | acc192bafc66b7661d541ef4f604b5e5ab7df5ca | [
"MIT"
] | null | null | null | import unittest
from mldp.steps.transformers.nlp import SeqLenComputer
from mldp.utils.tools import DataChunk
from copy import deepcopy
import numpy as np
class TestSeqLenComputer(unittest.TestCase):
def test_output(self):
fn = "dummy"
new_fn = "dummy_len"
data = [[1, 2, 3], [12], ["a", "... | 27.846154 | 64 | 0.618785 | import unittest
from mldp.steps.transformers.nlp import SeqLenComputer
from mldp.utils.tools import DataChunk
from copy import deepcopy
import numpy as np
class TestSeqLenComputer(unittest.TestCase):
def test_output(self):
fn = "dummy"
new_fn = "dummy_len"
data = [[1, 2, 3], [12], ["a", "... | true | true |
1c4765731326549e159d462a7abaa90cb1582cbf | 181 | py | Python | apps/profile/apps.py | OpenAdaptronik/Rattler | c3bdde0ca56b6d77f49bc830fa2b8bb41a26bae4 | [
"MIT"
] | 2 | 2018-05-18T08:38:29.000Z | 2018-05-22T08:26:09.000Z | apps/profile/apps.py | IT-PM-OpenAdaptronik/Webapp | c3bdde0ca56b6d77f49bc830fa2b8bb41a26bae4 | [
"MIT"
] | 118 | 2017-10-31T13:45:09.000Z | 2018-02-24T20:51:42.000Z | apps/profile/apps.py | OpenAdaptronik/Rattler | c3bdde0ca56b6d77f49bc830fa2b8bb41a26bae4 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
from django.utils.translation import gettext_lazy as _
class ProfileConfig(AppConfig):
name = 'apps.profile'
verbose_name = _('profile')
| 22.625 | 54 | 0.762431 | from django.apps import AppConfig
from django.utils.translation import gettext_lazy as _
class ProfileConfig(AppConfig):
name = 'apps.profile'
verbose_name = _('profile')
| true | true |
1c47670eaf2832f39b529a294728b4e11a136702 | 629 | py | Python | src/create_experiment.py | G-Simeone/Learning_Accident_Occurence_on_Dutch_Highways | 1f3992a529fed70fd488811d68128a1e255fac5f | [
"MIT"
] | 4 | 2018-11-09T16:18:28.000Z | 2019-04-09T11:19:23.000Z | src/create_experiment.py | G-Simeone/Learning_Accident_Occurence_on_Dutch_Highways | 1f3992a529fed70fd488811d68128a1e255fac5f | [
"MIT"
] | null | null | null | src/create_experiment.py | G-Simeone/Learning_Accident_Occurence_on_Dutch_Highways | 1f3992a529fed70fd488811d68128a1e255fac5f | [
"MIT"
] | 1 | 2020-05-28T18:48:17.000Z | 2020-05-28T18:48:17.000Z | import sys
from utils import write_exp_utils
import pandas as pd
from utils import misc_utils
import psycopg2
from psycopg2.extras import Json, DictCursor
def main(argv):
print(argv[1])
w = write_exp_utils.ExperimentConfig(argv[1], argv[2])
print("writing {} to database".format(argv[1]) )
w.write_to_db... | 29.952381 | 105 | 0.732909 | import sys
from utils import write_exp_utils
import pandas as pd
from utils import misc_utils
import psycopg2
from psycopg2.extras import Json, DictCursor
def main(argv):
print(argv[1])
w = write_exp_utils.ExperimentConfig(argv[1], argv[2])
print("writing {} to database".format(argv[1]) )
w.write_to_db... | true | true |
1c4767c28a173b87d61645270342bcabb9c6929c | 7,674 | py | Python | setup.py | WildbookOrg/wbia-deprecate-tpl-brambox | 9aa6a69f706d0653a65520c696a7cd66715b6a37 | [
"MIT"
] | 2 | 2019-03-23T03:14:11.000Z | 2019-11-21T07:16:13.000Z | setup.py | WildbookOrg/wbia-deprecate-tpl-brambox | 9aa6a69f706d0653a65520c696a7cd66715b6a37 | [
"MIT"
] | null | null | null | setup.py | WildbookOrg/wbia-deprecate-tpl-brambox | 9aa6a69f706d0653a65520c696a7cd66715b6a37 | [
"MIT"
] | 1 | 2021-12-01T03:04:53.000Z | 2021-12-01T03:04:53.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
import sys
from os.path import exists
from collections import OrderedDict
from setuptools import find_packages
from skbuild import setup
def native_mb_python_tag(plat_impl=None, version_info=None):
"""
... | 31.975 | 125 | 0.572974 |
from __future__ import absolute_import, division, print_function
import sys
from os.path import exists
from collections import OrderedDict
from setuptools import find_packages
from skbuild import setup
def native_mb_python_tag(plat_impl=None, version_info=None):
if plat_impl is None:
import platform
... | true | true |
1c476801c70edbae6a98a7915c2d93aa454b9a2d | 5,022 | py | Python | Analysis/SampleVisualization_AE.py | melodist/MELTNET | 47548e4a027ea4e23cdcb5ba1f1d9aa1aa7bbf29 | [
"MIT"
] | 9 | 2020-03-16T04:17:05.000Z | 2022-02-08T12:51:45.000Z | Analysis/SampleVisualization_AE.py | melodist/MELTNET | 47548e4a027ea4e23cdcb5ba1f1d9aa1aa7bbf29 | [
"MIT"
] | 1 | 2019-11-26T08:18:16.000Z | 2020-09-10T15:21:40.000Z | Analysis/SampleVisualization_AE.py | melodist/MELTNET | 47548e4a027ea4e23cdcb5ba1f1d9aa1aa7bbf29 | [
"MIT"
] | 3 | 2020-03-16T04:17:30.000Z | 2021-12-02T07:10:22.000Z | """
Sample Visualization
Make 2-D image of sample distribution
1-1. Extract Features using initial network
1-2. Extract Features using trained network
2. Using K-means to classify the patches
3. Dimension reduction using PCA
4. Visualize results
"""
import tensorflow as tf
import numpy as n... | 35.871429 | 121 | 0.660892 |
import tensorflow as tf
import numpy as np
from Network import NetworkKeras
import os
import time
from Extraction import PatchExtraction
from sklearn.cluster import KMeans
from sklearn.decomposition import PCA
import matplotlib.pyplot as plt
from datetime import datetime
def SampleVisualization_AE(path_model, path_i... | true | true |
1c4768746d5b6ffc5563045f2c062c9a11652afe | 7,689 | py | Python | tests/components/hue/test_init.py | sgrzys/AIS-home-assistant | 7bfc4d6d90de75eea06702c36474d91bf38df3bf | [
"Apache-2.0"
] | 1 | 2019-04-22T06:05:09.000Z | 2019-04-22T06:05:09.000Z | tests/components/hue/test_init.py | sgrzys/AIS-home-assistant | 7bfc4d6d90de75eea06702c36474d91bf38df3bf | [
"Apache-2.0"
] | 2 | 2022-01-13T04:26:00.000Z | 2022-03-12T01:05:37.000Z | tests/components/hue/test_init.py | sgrzys/AIS-home-assistant | 7bfc4d6d90de75eea06702c36474d91bf38df3bf | [
"Apache-2.0"
] | 1 | 2021-09-20T01:52:31.000Z | 2021-09-20T01:52:31.000Z | """Test Hue setup process."""
from unittest.mock import Mock, patch
from homeassistant.setup import async_setup_component
from homeassistant.components import hue
from tests.common import mock_coro, MockConfigEntry
async def test_setup_with_no_config(hass):
"""Test that we do not discover anything or try to set... | 35.109589 | 78 | 0.613864 | from unittest.mock import Mock, patch
from homeassistant.setup import async_setup_component
from homeassistant.components import hue
from tests.common import mock_coro, MockConfigEntry
async def test_setup_with_no_config(hass):
with patch.object(hass, 'config_entries') as mock_config_entries, \
patc... | true | true |
1c476b5d686fb5d71b925dc5ae700b71ab106d76 | 3,587 | py | Python | auto_xml.py | tdwitham/AutohammerPy | 1621400fd148f012bc59176ad51aa05c5c879c4f | [
"BSD-2-Clause"
] | null | null | null | auto_xml.py | tdwitham/AutohammerPy | 1621400fd148f012bc59176ad51aa05c5c879c4f | [
"BSD-2-Clause"
] | null | null | null | auto_xml.py | tdwitham/AutohammerPy | 1621400fd148f012bc59176ad51aa05c5c879c4f | [
"BSD-2-Clause"
] | null | null | null | # (c) 2016,2017 - Timothy D. Witham tim.wookie.witham@gmail.com
# Licensed under BSD 2-Clause
__author__ = 'wookie'
import pprint
from components.FileOps import writeLog, initialLogDir, makeLogDir
from components.infrastructure import getSysInfo
from components.MySQL import MySQLOps
global DBOP
runConfig = dict()
sec... | 26.182482 | 101 | 0.622805 |
__author__ = 'wookie'
import pprint
from components.FileOps import writeLog, initialLogDir, makeLogDir
from components.infrastructure import getSysInfo
from components.MySQL import MySQLOps
global DBOP
runConfig = dict()
secParms = dict()
def ckheader(cEvent, cTag, cText):
if (cEvent == 'start'):
setTo... | true | true |
1c476bd27893d69e83ccb306a1d2ce80722a4ad1 | 9,534 | py | Python | piqa/fsim.py | francois-rozet/spiq | a2e68c38da9129c85867e77641ed29d88e84c9d7 | [
"MIT"
] | 19 | 2020-10-12T13:57:21.000Z | 2020-12-05T12:23:41.000Z | piqa/fsim.py | francois-rozet/spiq | a2e68c38da9129c85867e77641ed29d88e84c9d7 | [
"MIT"
] | null | null | null | piqa/fsim.py | francois-rozet/spiq | a2e68c38da9129c85867e77641ed29d88e84c9d7 | [
"MIT"
] | null | null | null | r"""Feature Similarity (FSIM)
This module implements the FSIM in PyTorch.
Original:
https://www4.comp.polyu.edu.hk/~cslzhang/IQA/FSIM/FSIM.htm
References:
.. [Zhang2011] FSIM: A Feature Similarity Index for Image Quality Assessment (Zhang et al., 2011)
.. [Kovesi1999] Image Features From Phase Congruenc... | 27.877193 | 101 | 0.560835 |
import math
import torch
import torch.fft as fft
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from .utils import _jit, assert_type, reduce_tensor
from .utils import complex as cx
from .utils.color import ColorConv
from .utils.functional import (
scharr_kernel,
gradient_kerne... | true | true |
1c476c016e38e87c7a75eeb62acb50db4e2d2883 | 1,623 | py | Python | tests/test_exceptions.py | dobisel/yhttp | 4396c03905d71b801a92dead3504cc3ef7d98d79 | [
"MIT"
] | 10 | 2020-01-30T16:23:28.000Z | 2021-12-12T23:24:37.000Z | tests/test_exceptions.py | dobisel/yhttp | 4396c03905d71b801a92dead3504cc3ef7d98d79 | [
"MIT"
] | 1 | 2021-07-12T21:07:06.000Z | 2021-08-08T10:42:27.000Z | tests/test_exceptions.py | dobisel/yhttp | 4396c03905d71b801a92dead3504cc3ef7d98d79 | [
"MIT"
] | 1 | 2020-01-26T13:28:35.000Z | 2020-01-26T13:28:35.000Z | import pytest
from bddrest import status, response, when
from yhttp import statuses
def test_httpstatus(app, Given):
@app.route()
def get(req):
raise statuses.badrequest()
@app.route('/foo')
def get(req):
return statuses.badrequest()
with Given():
assert status == '400 ... | 21.077922 | 78 | 0.601356 | import pytest
from bddrest import status, response, when
from yhttp import statuses
def test_httpstatus(app, Given):
@app.route()
def get(req):
raise statuses.badrequest()
@app.route('/foo')
def get(req):
return statuses.badrequest()
with Given():
assert status == '400 ... | true | true |
1c476cdd7fb60214bfeb7c01ad0034abc05bd191 | 3,585 | py | Python | plots/thresholds/vit.py | drunkcoding/model-inference | 02d2240bc7052fa32223a80fa63625fe681db102 | [
"MIT"
] | 1 | 2021-11-15T19:07:13.000Z | 2021-11-15T19:07:13.000Z | plots/thresholds/vit.py | drunkcoding/model-inference | 02d2240bc7052fa32223a80fa63625fe681db102 | [
"MIT"
] | null | null | null | plots/thresholds/vit.py | drunkcoding/model-inference | 02d2240bc7052fa32223a80fa63625fe681db102 | [
"MIT"
] | null | null | null | from dataclasses import dataclass, field
from functools import partial
import itertools
import json
import logging
import os
import time
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.metrics import accuracy_score
import torch
from transformers import AutoModelForImageClassification, ViTForImageClas... | 24.724138 | 85 | 0.72106 | from dataclasses import dataclass, field
from functools import partial
import itertools
import json
import logging
import os
import time
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.metrics import accuracy_score
import torch
from transformers import AutoModelForImageClassification, ViTForImageClas... | true | true |
1c476d41ac879c082652e00bd7f7e69e609c5a8a | 14,750 | py | Python | game/gamesrc/objects/world/quests.py | abbacode/avaloria | 02e1805ac6e74543c96408b7951429f94bc140ca | [
"ClArtistic"
] | null | null | null | game/gamesrc/objects/world/quests.py | abbacode/avaloria | 02e1805ac6e74543c96408b7951429f94bc140ca | [
"ClArtistic"
] | null | null | null | game/gamesrc/objects/world/quests.py | abbacode/avaloria | 02e1805ac6e74543c96408b7951429f94bc140ca | [
"ClArtistic"
] | null | null | null | import random
from prettytable import PrettyTable
from src.utils import create, utils
from ev import Object
from game.gamesrc.objects import copyreader
class QuestManager(Object):
"""
This object is attached to the character and manages all quests received.
"""
def at_object_creation(self):
"... | 48.360656 | 175 | 0.592746 | import random
from prettytable import PrettyTable
from src.utils import create, utils
from ev import Object
from game.gamesrc.objects import copyreader
class QuestManager(Object):
"""
This object is attached to the character and manages all quests received.
"""
def at_object_creation(self):
"... | false | true |
1c476e3ec222661def123f38fb26ec5839432659 | 1,087 | py | Python | src/utils/etc.py | slowwavesleep/NeuralMorphemeSegmenter | b32f47ecc380262755bf436cf793f35901919f0f | [
"MIT"
] | null | null | null | src/utils/etc.py | slowwavesleep/NeuralMorphemeSegmenter | b32f47ecc380262755bf436cf793f35901919f0f | [
"MIT"
] | null | null | null | src/utils/etc.py | slowwavesleep/NeuralMorphemeSegmenter | b32f47ecc380262755bf436cf793f35901919f0f | [
"MIT"
] | null | null | null | import itertools
import json
from typing import Iterable, List, Tuple
def remove_pads(sequences: Iterable[Iterable[int]],
true_lengths: Iterable[int],
*,
pre_pad: bool = False) -> List[List[int]]:
assert len(sequences) == len(true_lengths)
output = []
for... | 26.512195 | 78 | 0.609936 | import itertools
import json
from typing import Iterable, List, Tuple
def remove_pads(sequences: Iterable[Iterable[int]],
true_lengths: Iterable[int],
*,
pre_pad: bool = False) -> List[List[int]]:
assert len(sequences) == len(true_lengths)
output = []
for... | true | true |
1c476f371ca7d1b74fa727dff3dcc27f059ba338 | 4,943 | py | Python | tiddlyweb/serializations/json.py | angeluseve/tiddlyweb | d24a45d48faa2b014e1c1598ec176c4c1c98fb07 | [
"BSD-3-Clause"
] | 1 | 2016-05-09T15:26:17.000Z | 2016-05-09T15:26:17.000Z | tiddlyweb/serializations/json.py | angeluseve/tiddlyweb | d24a45d48faa2b014e1c1598ec176c4c1c98fb07 | [
"BSD-3-Clause"
] | null | null | null | tiddlyweb/serializations/json.py | angeluseve/tiddlyweb | d24a45d48faa2b014e1c1598ec176c4c1c98fb07 | [
"BSD-3-Clause"
] | null | null | null | """
JSON based serializer.
"""
import simplejson
from base64 import b64encode, b64decode
from tiddlyweb.serializations import SerializationInterface
from tiddlyweb.model.bag import Bag
from tiddlyweb.model.policy import Policy
class Serialization(SerializationInterface):
"""
Turn various entities to and fr... | 32.519737 | 103 | 0.584665 |
import simplejson
from base64 import b64encode, b64decode
from tiddlyweb.serializations import SerializationInterface
from tiddlyweb.model.bag import Bag
from tiddlyweb.model.policy import Policy
class Serialization(SerializationInterface):
def list_recipes(self, recipes):
return simplejson.dumps([rec... | true | true |
1c4771447baf8ca0aea72d01cd74569e19c6a862 | 7,917 | py | Python | solo/methods/nnsiam.py | ludysama/crp | 08027b67f174426ddac5eef8186349e8337481fc | [
"MIT"
] | 2 | 2021-11-02T07:38:33.000Z | 2021-11-21T12:55:28.000Z | solo/methods/nnsiam.py | ludysama/crp | 08027b67f174426ddac5eef8186349e8337481fc | [
"MIT"
] | null | null | null | solo/methods/nnsiam.py | ludysama/crp | 08027b67f174426ddac5eef8186349e8337481fc | [
"MIT"
] | null | null | null | # Copyright 2021 solo-learn development team.
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation the rights to use,
# copy, modify, merge, publ... | 35.662162 | 99 | 0.630794 |
import argparse
from typing import Any, Dict, List, Sequence, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from solo.losses.simsiam import simsiam_loss_func
from solo.methods.base import BaseMethod
from solo.utils.misc import gather
class NNSiam(BaseMethod):
def __i... | true | true |
1c47724e4746e520c60664378824afb818843692 | 6,421 | py | Python | src/create_embedded_tools.py | erenon/bazel | 9bf885afeb01c766d84acf86ca847a7b5e7bd0d8 | [
"Apache-2.0"
] | null | null | null | src/create_embedded_tools.py | erenon/bazel | 9bf885afeb01c766d84acf86ca847a7b5e7bd0d8 | [
"Apache-2.0"
] | null | null | null | src/create_embedded_tools.py | erenon/bazel | 9bf885afeb01c766d84acf86ca847a7b5e7bd0d8 | [
"Apache-2.0"
] | null | null | null | # pylint: disable=g-direct-third-party-import
# pylint: disable=g-bad-file-header
# Copyright 2017 The Bazel 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
#
# ... | 42.523179 | 80 | 0.686653 |
atch
import os
import os.path
import re
import sys
import zipfile
from src.create_embedded_tools_lib import copy_tar_to_zip
from src.create_embedded_tools_lib import copy_zip_to_zip
from src.create_embedded_tools_lib import is_executable
output_paths = [
('*tools/jdk/BUILD*', lambda x: 'tools/jdk/BUILD'),... | true | true |
1c47729e783feede84d393f9c877b04a40b6c1cf | 5,680 | py | Python | src/morphforgeexamples/exset6_poster_ocns2012/poster1.py | mikehulluk/morphforge | 2a95096f144ed4ea487decb735ce66706357d3c7 | [
"BSD-2-Clause"
] | 1 | 2021-01-21T11:31:59.000Z | 2021-01-21T11:31:59.000Z | src/morphforgeexamples/exset6_poster_ocns2012/poster1.py | mikehulluk/morphforge | 2a95096f144ed4ea487decb735ce66706357d3c7 | [
"BSD-2-Clause"
] | null | null | null | src/morphforgeexamples/exset6_poster_ocns2012/poster1.py | mikehulluk/morphforge | 2a95096f144ed4ea487decb735ce66706357d3c7 | [
"BSD-2-Clause"
] | null | null | null |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# ---------------------------------------------------------------------
# Copyright (c) 2012 Michael Hull.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are ... | 40.283688 | 124 | 0.660915 |
import matplotlib as mpl
mpl.rcParams['font.size'] = 14
from morphforge.stdimports import *
from morphforgecontrib.stdimports import *
eqnset_txt_na = """
define_component hh_na {
i = g * (v-erev) * m**3*h
m_inf = m_alpha_rate / (m_alpha_rate + m_beta_rate)
m_tau =... | true | true |
1c4772bee94a9049c31da5ef09d5c7071e017e16 | 2,599 | py | Python | tasrif/processing_pipeline/pandas/convert_to_datetime.py | qcri/tasrif | 327bc1eccb8f8e11d8869ba65a7c72ad038aa094 | [
"BSD-3-Clause"
] | 20 | 2021-12-06T10:41:54.000Z | 2022-03-13T16:25:43.000Z | tasrif/processing_pipeline/pandas/convert_to_datetime.py | qcri/tasrif | 327bc1eccb8f8e11d8869ba65a7c72ad038aa094 | [
"BSD-3-Clause"
] | 33 | 2021-12-06T08:27:18.000Z | 2022-03-14T05:07:53.000Z | tasrif/processing_pipeline/pandas/convert_to_datetime.py | qcri/tasrif | 327bc1eccb8f8e11d8869ba65a7c72ad038aa094 | [
"BSD-3-Clause"
] | 2 | 2022-02-07T08:06:48.000Z | 2022-02-14T07:13:42.000Z | """
Operator to convert a column feature from string to datetime
"""
import pandas as pd
from tasrif.processing_pipeline import PandasOperator
from tasrif.processing_pipeline.validators import InputsAreDataFramesValidatorMixin
class ConvertToDatetimeOperator(InputsAreDataFramesValidatorMixin, PandasOperator):
""... | 33.320513 | 94 | 0.58561 | import pandas as pd
from tasrif.processing_pipeline import PandasOperator
from tasrif.processing_pipeline.validators import InputsAreDataFramesValidatorMixin
class ConvertToDatetimeOperator(InputsAreDataFramesValidatorMixin, PandasOperator):
def __init__(self, feature_names, **kwargs):
self.feature_name... | true | true |
1c4772d8628f28ac08f50f8f4e940c76e95bac8c | 2,757 | py | Python | deploy/env/local/lib/python2.7/site-packages/mercurial-3.1-py2.7-linux-x86_64.egg/mercurial/filelog.py | wangvictor2012/liuwei | 0a06f8fd56d78162f81f1e7e7def7bfdeb4472e1 | [
"BSD-3-Clause"
] | 3 | 2015-11-05T07:42:43.000Z | 2017-05-29T22:59:47.000Z | vendor/lib/python2.7/site-packages/mercurial/filelog.py | ddollar/gobuild | c1b0e52ab6849a13a95a3fdae4913b925f658272 | [
"MIT"
] | null | null | null | vendor/lib/python2.7/site-packages/mercurial/filelog.py | ddollar/gobuild | c1b0e52ab6849a13a95a3fdae4913b925f658272 | [
"MIT"
] | null | null | null | # filelog.py - file history class for mercurial
#
# Copyright 2005-2007 Matt Mackall <mpm@selenic.com>
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.
import revlog
import re
_mdre = re.compile('\1\n')
def _parsemeta(text):
"... | 29.645161 | 74 | 0.564744 |
import revlog
import re
_mdre = re.compile('\1\n')
def _parsemeta(text):
if text[:2] != '\1\n':
return None, None, None
s = _mdre.search(text, 2).start()
mtext = text[2:s]
meta = {}
keys = []
for l in mtext.splitlines():
k, v = l.split(": ", 1)
meta[k] = v
... | true | true |
1c47737253ed550c0b8f08ac8b7f413886c1457e | 14,684 | py | Python | train.py | solmn/parallel_wavenet | 45e9eceb7a2d1982b3d45823332575eb26f333c0 | [
"MIT"
] | 3 | 2018-10-30T13:45:14.000Z | 2020-03-29T06:56:10.000Z | train.py | solmn/parallel_wavenet | 45e9eceb7a2d1982b3d45823332575eb26f333c0 | [
"MIT"
] | null | null | null | train.py | solmn/parallel_wavenet | 45e9eceb7a2d1982b3d45823332575eb26f333c0 | [
"MIT"
] | null | null | null | """Training script for the WaveNet network on the VCTK corpus.
This script trains a network with the WaveNet using data from the VCTK corpus,
which can be freely downloaded at the following site (~10 GB):
http://homepages.inf.ed.ac.uk/jyamagis/page3/page58/page58.html
"""
from __future__ import print_function
import ... | 42.686047 | 117 | 0.611959 |
from __future__ import print_function
import argparse
from datetime import datetime
import json
import os
import sys
import time
import tensorflow as tf
from tensorflow.python.client import timeline
from wavenet import WaveNetModel, AudioReader, optimizer_factory
BATCH_SIZE = 1
DATA_DIRECTORY = './dataset/LJSpeech... | true | true |
1c4773afb9dfe031efe91c301916c555e9dcc6a3 | 9,570 | py | Python | src/HYPERPLUME/hyperplume.py | Pabsm94/Easyplume | ee54194c1c0930b2a0ef442c47f80bd4570913d2 | [
"MIT"
] | null | null | null | src/HYPERPLUME/hyperplume.py | Pabsm94/Easyplume | ee54194c1c0930b2a0ef442c47f80bd4570913d2 | [
"MIT"
] | null | null | null | src/HYPERPLUME/hyperplume.py | Pabsm94/Easyplume | ee54194c1c0930b2a0ef442c47f80bd4570913d2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Apr 22 14:07:39 2016
@author: pablo
"""
import numpy as np
import abc
import matplotlib.pyplot as plt
class Hyperplume():
""" Parent class Hyperplume loads target plasma and defines common attributes as well as
shared methods in the AEM and SSM plume classe... | 34.301075 | 262 | 0.546604 |
import numpy as np
import abc
import matplotlib.pyplot as plt
class Hyperplume():
__metaclass__= abc.ABCMeta
@abc.abstractclassmethod
def solver(self):
return
@abc.abstractclassmethod
def query(self,z,r):
... | true | true |
1c47745f1c0e2c39646a97885253608082c44006 | 46 | py | Python | __init__.py | lucaskjaero/WiktionaryParser | c60a7cb7e50ca929e02c8e6e258c23f4d4114c21 | [
"MIT"
] | 1 | 2021-08-24T17:51:41.000Z | 2021-08-24T17:51:41.000Z | __init__.py | lucaskjaero/WiktionaryParser | c60a7cb7e50ca929e02c8e6e258c23f4d4114c21 | [
"MIT"
] | null | null | null | __init__.py | lucaskjaero/WiktionaryParser | c60a7cb7e50ca929e02c8e6e258c23f4d4114c21 | [
"MIT"
] | 1 | 2020-12-14T16:22:31.000Z | 2020-12-14T16:22:31.000Z | from .wiktionaryparser import WiktionaryParser | 46 | 46 | 0.913043 | from .wiktionaryparser import WiktionaryParser | true | true |
1c477468c75e4642c2f29e87bfdbf22ef08e11fd | 4,043 | py | Python | models/definitions/flownet/inference.py | HaydenFaulkner/VidDet | 2dbc104a41bf1192a00ffde07695180eab18cea8 | [
"MIT"
] | 19 | 2019-08-05T12:20:17.000Z | 2020-10-29T11:33:50.000Z | models/definitions/flownet/inference.py | HaydenFaulkner/VideoYOLO | 2dbc104a41bf1192a00ffde07695180eab18cea8 | [
"MIT"
] | 2 | 2021-08-25T14:47:55.000Z | 2022-02-09T23:30:49.000Z | models/definitions/flownet/inference.py | HaydenFaulkner/VideoYOLO | 2dbc104a41bf1192a00ffde07695180eab18cea8 | [
"MIT"
] | 3 | 2020-03-02T14:52:18.000Z | 2020-06-05T07:51:18.000Z | import cv2
import mxnet as mx
import numpy as np
from scipy.misc import imresize
from tqdm import tqdm
from flownet import get_flownet
from utils import flow_to_image, crop, normalise
def process_two_images(model, imgs, ctx=None):
"""
Process two images into one flow image
Args:
model: The model t... | 26.083871 | 108 | 0.606728 | import cv2
import mxnet as mx
import numpy as np
from scipy.misc import imresize
from tqdm import tqdm
from flownet import get_flownet
from utils import flow_to_image, crop, normalise
def process_two_images(model, imgs, ctx=None):
if len(imgs) != 2:
return None
if isinstance(imgs[0], str):
if ... | true | true |
1c47763f1386690bf0efd66398f708660e2f5d45 | 5,537 | py | Python | scripts/automation/trex_control_plane/astf/trex_astf_lib/trex_astf_global_info.py | alialnu/trex-core | ae4ab05a6215fd0a859adde40dac6afa8bf0f950 | [
"Apache-2.0"
] | null | null | null | scripts/automation/trex_control_plane/astf/trex_astf_lib/trex_astf_global_info.py | alialnu/trex-core | ae4ab05a6215fd0a859adde40dac6afa8bf0f950 | [
"Apache-2.0"
] | null | null | null | scripts/automation/trex_control_plane/astf/trex_astf_lib/trex_astf_global_info.py | alialnu/trex-core | ae4ab05a6215fd0a859adde40dac6afa8bf0f950 | [
"Apache-2.0"
] | null | null | null | import socket
class ASTFGlobalInfoBase(object):
_g_params = {}
class inner(object):
def __init__(self, params, name):
self._fields = {}
self._params = params
self._name = name
def __setattr__(self, name, val):
if name.startswith("_")... | 37.161074 | 123 | 0.483475 | import socket
class ASTFGlobalInfoBase(object):
_g_params = {}
class inner(object):
def __init__(self, params, name):
self._fields = {}
self._params = params
self._name = name
def __setattr__(self, name, val):
if name.startswith("_")... | true | true |
1c4777590dcdd7cd0868594deb226eb09b523f7d | 16,358 | py | Python | senlin/objects/fields.py | openstack/senlin | 390779ca1e08f819683e79993696f945f1c0393e | [
"Apache-2.0"
] | 45 | 2015-10-18T02:56:50.000Z | 2022-03-01T15:28:02.000Z | senlin/objects/fields.py | openstack/senlin | 390779ca1e08f819683e79993696f945f1c0393e | [
"Apache-2.0"
] | 2 | 2019-04-26T10:44:47.000Z | 2020-12-16T19:45:34.000Z | senlin/objects/fields.py | openstack/senlin | 390779ca1e08f819683e79993696f945f1c0393e | [
"Apache-2.0"
] | 45 | 2015-10-19T02:35:57.000Z | 2021-09-28T09:01:42.000Z | # 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 to in writing, software
# distributed unde... | 30.575701 | 79 | 0.602152 |
from oslo_config import cfg
from oslo_serialization import jsonutils
from oslo_utils import strutils
from oslo_utils import uuidutils
from oslo_versionedobjects import fields
import re
from senlin.common import consts
from senlin.common.i18n import _
CONF = cfg.CONF
FlexibleBooleanField = fields.Flexib... | true | true |
1c477804be4c4bf6d36610dc17cf96819da6d6fc | 45,319 | py | Python | nessai/nestedsampler.py | Rodrigo-Tenorio/nessai | 2b4175da61b3a7250d1154a126ad93481836df0d | [
"MIT"
] | null | null | null | nessai/nestedsampler.py | Rodrigo-Tenorio/nessai | 2b4175da61b3a7250d1154a126ad93481836df0d | [
"MIT"
] | null | null | null | nessai/nestedsampler.py | Rodrigo-Tenorio/nessai | 2b4175da61b3a7250d1154a126ad93481836df0d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Functions and objects related to the main nested sampling algorithm.
"""
from collections import deque
import datetime
import logging
import os
import pickle
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import numpy as np
import seaborn as sns
import torch
from tqdm i... | 36.313301 | 79 | 0.583045 |
from collections import deque
import datetime
import logging
import os
import pickle
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import numpy as np
import seaborn as sns
import torch
from tqdm import tqdm
from .livepoint import get_dtype, DEFAULT_FLOAT_DTYPE
from .plot import plot_indices, pl... | true | true |
1c47785da9d34f0b1c8a9845b5a3002f171b51df | 8,815 | py | Python | src/sensor_placement.py | tolgadur/Sensor-Placement | ad33477d1fb14052e1a9e58d149d0b8e767ea318 | [
"MIT"
] | 3 | 2020-05-10T20:37:50.000Z | 2022-03-31T08:25:23.000Z | src/sensor_placement.py | tolgadur/Sensor-Placement | ad33477d1fb14052e1a9e58d149d0b8e767ea318 | [
"MIT"
] | null | null | null | src/sensor_placement.py | tolgadur/Sensor-Placement | ad33477d1fb14052e1a9e58d149d0b8e767ea318 | [
"MIT"
] | 2 | 2021-02-26T10:15:24.000Z | 2021-06-07T11:11:08.000Z | #!/usr/bin/python
import numpy as np
import heapq
import pandas as pd
""" FILE NAME: 'sensor_placement.py'
DESCRIPTION: This file is implementing the class that will be used for sensor
positioning according to solution proposed by Krause, Singh and Guestrin (2008).
"""
class SensorPlacement:
@staticmethod... | 42.584541 | 128 | 0.569484 |
import numpy as np
import heapq
import pandas as pd
class SensorPlacement:
@staticmethod
def isMonotonic(cov, k, V, S, U):
A = np.array([])
for j in range(k):
S_A = np.setdiff1d(S, A).astype(int)
for y in S_A:
AHat = np.setdiff1d(V, np.append(A, [y]))
... | true | true |
1c4778cd6ee4e3e7a884ff4789b58f8fe5d8053a | 1,178 | py | Python | prime_numbers_test.py | mkiterian/prime-numbers | be8b3b1250ec8351964c2ef93f8d5e6463efcc7b | [
"MIT"
] | null | null | null | prime_numbers_test.py | mkiterian/prime-numbers | be8b3b1250ec8351964c2ef93f8d5e6463efcc7b | [
"MIT"
] | null | null | null | prime_numbers_test.py | mkiterian/prime-numbers | be8b3b1250ec8351964c2ef93f8d5e6463efcc7b | [
"MIT"
] | null | null | null | import unittest
from prime_numbers import generate_prime_numbers
class PrimeNumberTest(unittest.TestCase):
def test_n_is_an_integer(self):
#tests if n is an integer
with self.assertRaises(TypeError, msg='n is not an integer'):
generate_prime_numbers('number')
def test_if_number_is_a_positive_integer(self)... | 33.657143 | 124 | 0.77674 | import unittest
from prime_numbers import generate_prime_numbers
class PrimeNumberTest(unittest.TestCase):
def test_n_is_an_integer(self):
with self.assertRaises(TypeError, msg='n is not an integer'):
generate_prime_numbers('number')
def test_if_number_is_a_positive_integer(self):
self.assertEqual(ge... | true | true |
1c4779a4e3f7663805d73bbf5c2232d96cc76f28 | 1,621 | py | Python | axley/cogs/misc.py | 1olipop/Axley | 9ace6706be58c2a8e066a0dbcdcc337b34cc5da7 | [
"Apache-2.0"
] | 18 | 2021-05-08T10:28:34.000Z | 2021-12-30T16:44:19.000Z | axley/cogs/misc.py | vedrecide/Axley | 9ace6706be58c2a8e066a0dbcdcc337b34cc5da7 | [
"Apache-2.0"
] | 1 | 2021-07-05T13:07:20.000Z | 2021-07-05T13:07:20.000Z | axley/cogs/misc.py | 1olipop/Axley | 9ace6706be58c2a8e066a0dbcdcc337b34cc5da7 | [
"Apache-2.0"
] | 6 | 2021-06-01T15:31:10.000Z | 2021-07-21T17:17:36.000Z | import discord
import psutil
import os
from discord.ext import commands
class Misc(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.process = psutil.Process(os.getpid())
@commands.command(name="Ping", description="Ping of the bot")
@commands.guild_only()
async def ping(sel... | 31.173077 | 130 | 0.623689 | import discord
import psutil
import os
from discord.ext import commands
class Misc(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.process = psutil.Process(os.getpid())
@commands.command(name="Ping", description="Ping of the bot")
@commands.guild_only()
async def ping(sel... | true | true |
1c477b36fa5f2df5e41a132388aaaf828bdc48a6 | 5,661 | py | Python | resource/o2o1/examples.py | chenrushan/chenrushan.github.io | e97745d006b002e1f91c25a74859d313e5c197ed | [
"MIT"
] | null | null | null | resource/o2o1/examples.py | chenrushan/chenrushan.github.io | e97745d006b002e1f91c25a74859d313e5c197ed | [
"MIT"
] | null | null | null | resource/o2o1/examples.py | chenrushan/chenrushan.github.io | e97745d006b002e1f91c25a74859d313e5c197ed | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
# Author: juscodit@gmail.com
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
import math
import sys
from math import pow
from math import exp
delta = 0.025
### ==============================
### Ellipse function (f(x) = x1^2 + 50 x2^2)
### ==============================
... | 23.106122 | 122 | 0.558205 |
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
import math
import sys
from math import pow
from math import exp
delta = 0.025
)
heinv = np.linalg.inv(hessian)
return np.squeeze(np.asarray(np.negative(np.dot(heinv, gr(p)))))
def alpha(p, dd):
a, r, c1 = 1, 0.3, 1e-4
g = gr(p)
p1 ... | false | true |
1c477bb7d2693680a90d4f6220d45872d11fc4b0 | 1,663 | py | Python | vm.py | Ccode-lang/CHex | f8138da241a8b96fae5691de7a9d789a9dbcbeb2 | [
"MIT"
] | 1 | 2022-01-31T18:36:36.000Z | 2022-01-31T18:36:36.000Z | vm.py | Ccode-lang/CHex | f8138da241a8b96fae5691de7a9d789a9dbcbeb2 | [
"MIT"
] | null | null | null | vm.py | Ccode-lang/CHex | f8138da241a8b96fae5691de7a9d789a9dbcbeb2 | [
"MIT"
] | null | null | null | import os
import sys
import codecs
try:
file = open(sys.argv[1], "rb")
except:
print("File does not exist or is not given.")
sys.exit()
bytecode = file.read()
file.close()
bytecode = list(bytecode)
hexcode = []
for dec in bytecode:
hexcode += [hex(dec)]
# print(hexcode)
# magic number check
if hexcode[... | 27.262295 | 106 | 0.556825 | import os
import sys
import codecs
try:
file = open(sys.argv[1], "rb")
except:
print("File does not exist or is not given.")
sys.exit()
bytecode = file.read()
file.close()
bytecode = list(bytecode)
hexcode = []
for dec in bytecode:
hexcode += [hex(dec)]
if hexcode[0] == "0x68" and hexcode[1] == "0x69... | true | true |
1c477bc4296ae17f76dbbd9dad1779671e3a34ae | 9,426 | py | Python | _backend_api/migrations/0022_initial.py | Amechi101/indieapp | 606c1346f65c343eb2cc8f7fba9d555b8c30a7fa | [
"MIT"
] | null | null | null | _backend_api/migrations/0022_initial.py | Amechi101/indieapp | 606c1346f65c343eb2cc8f7fba9d555b8c30a7fa | [
"MIT"
] | null | null | null | _backend_api/migrations/0022_initial.py | Amechi101/indieapp | 606c1346f65c343eb2cc8f7fba9d555b8c30a7fa | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Brand'
db.create_table(u'_backend_api_brand', (
... | 78.55 | 142 | 0.619032 |
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
db.create_table(u'_backend_api_brand', (
(u'id', self.gf('django.db.models.fields.A... | true | true |
1c477c54727b29435a21a6019d3960076fc447e1 | 4,706 | py | Python | nibabel/minc2.py | tobon/nibabel | ff2b5457207bb5fd6097b08f7f11123dc660fda7 | [
"BSD-3-Clause"
] | null | null | null | nibabel/minc2.py | tobon/nibabel | ff2b5457207bb5fd6097b08f7f11123dc660fda7 | [
"BSD-3-Clause"
] | null | null | null | nibabel/minc2.py | tobon/nibabel | ff2b5457207bb5fd6097b08f7f11123dc660fda7 | [
"BSD-3-Clause"
] | null | null | null | # emacs: -*- mode: python-mode; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the NiBabel package for the
# copyright and license terms.
#
### ### ### #... | 35.383459 | 132 | 0.632172 | true | true | |
1c477c95b5afb69f25ef37ab384ae3c2d5026cb5 | 4,980 | py | Python | tests/integrationtest/api/test_guards.py | RasmusGodske/eo-platform-utils | 4d7c5bdc102d1eb7a5edff096f2783dbdbaa283d | [
"Apache-2.0"
] | null | null | null | tests/integrationtest/api/test_guards.py | RasmusGodske/eo-platform-utils | 4d7c5bdc102d1eb7a5edff096f2783dbdbaa283d | [
"Apache-2.0"
] | null | null | null | tests/integrationtest/api/test_guards.py | RasmusGodske/eo-platform-utils | 4d7c5bdc102d1eb7a5edff096f2783dbdbaa283d | [
"Apache-2.0"
] | null | null | null | from typing import List
from uuid import uuid4
import pytest
from flask.testing import FlaskClient
from origin.api import (
Application,
EndpointGuard,
TokenGuard,
ScopedGuard,
)
from .endpoints import EmptyEndpoint
class TestGuards:
"""
TODO
"""
@pytest.mark.parametrize('guard', [... | 25.9375 | 78 | 0.41245 | from typing import List
from uuid import uuid4
import pytest
from flask.testing import FlaskClient
from origin.api import (
Application,
EndpointGuard,
TokenGuard,
ScopedGuard,
)
from .endpoints import EmptyEndpoint
class TestGuards:
@pytest.mark.parametrize('guard', [
TokenGuard(),
... | true | true |
1c477d2e6f7e2a1431cc5681d3d4bbd7036d06ed | 191 | py | Python | alphapept/__init__.py | enryH/alphapept | a4a1155b820f3567e21a872e0883e653661efe2b | [
"Apache-2.0"
] | null | null | null | alphapept/__init__.py | enryH/alphapept | a4a1155b820f3567e21a872e0883e653661efe2b | [
"Apache-2.0"
] | null | null | null | alphapept/__init__.py | enryH/alphapept | a4a1155b820f3567e21a872e0883e653661efe2b | [
"Apache-2.0"
] | null | null | null | __version__ = "0.4.0"
__requirements__ = {
"": "requirements/requirements.txt",
"develop": "requirements/requirements_develop.txt",
"gui": "requirements/requirements_gui.txt",
}
| 23.875 | 55 | 0.696335 | __version__ = "0.4.0"
__requirements__ = {
"": "requirements/requirements.txt",
"develop": "requirements/requirements_develop.txt",
"gui": "requirements/requirements_gui.txt",
}
| true | true |
1c477dc103178022d9d4cec538afb84e72df6950 | 167 | py | Python | django_chatserver/chat/routing.py | zhiqiyu/Random-Web | 10b89776fbcdaa012e1f42a49a050d1b397b73a2 | [
"MIT"
] | null | null | null | django_chatserver/chat/routing.py | zhiqiyu/Random-Web | 10b89776fbcdaa012e1f42a49a050d1b397b73a2 | [
"MIT"
] | null | null | null | django_chatserver/chat/routing.py | zhiqiyu/Random-Web | 10b89776fbcdaa012e1f42a49a050d1b397b73a2 | [
"MIT"
] | null | null | null | from django.urls import re_path
from . import consumers
websocket_urlpatterns = [
re_path(r'ws/chat/(?P<room_name>\w+)/$', consumers.ChatConsumer.as_asgi()),
]
| 18.555556 | 79 | 0.718563 | from django.urls import re_path
from . import consumers
websocket_urlpatterns = [
re_path(r'ws/chat/(?P<room_name>\w+)/$', consumers.ChatConsumer.as_asgi()),
]
| true | true |
1c477e1719e1177e3264aa192d9f0d5a10a984e2 | 9,469 | py | Python | osx/qcdict.py | WeAreAVP/mdqc | 3130a713c70017bc54d8e5da6bb5766ba9d97423 | [
"Apache-2.0"
] | 8 | 2019-01-18T08:58:02.000Z | 2021-05-20T16:51:14.000Z | osx/qcdict.py | WeAreAVP/mdqc | 3130a713c70017bc54d8e5da6bb5766ba9d97423 | [
"Apache-2.0"
] | 7 | 2016-02-25T21:50:03.000Z | 2017-12-13T14:27:29.000Z | osx/qcdict.py | WeAreAVP/mdqc | 3130a713c70017bc54d8e5da6bb5766ba9d97423 | [
"Apache-2.0"
] | 2 | 2020-02-13T16:00:07.000Z | 2020-08-12T16:31:49.000Z | # MDQC Core (OSX)
# Version 0.1, 2013-10-28
# Copyright (c) 2013 AudioVisual Preservation Solutions
# All rights reserved.
# Released under the Apache license, v. 2.0
import subprocess
from collections import defaultdict
from os import path
import time
from re import compile, findall, UNICODE
import sys
# template (t... | 32.539519 | 132 | 0.524659 |
import subprocess
from collections import defaultdict
from os import path
import time
from re import compile, findall, UNICODE
import sys
def template(tpl):
rules = []
with open(tpl, 'r') as t:
s = t.readlines()
for r in range(len(s)):
q = s[r].split('\t')
if q[1].strip() i... | false | true |
1c477e610890926de828f933fc42e26ec8d369e3 | 83 | py | Python | MachineLearningToolkitCore/Loss/__init__.py | showintime/MachineLearningToolkit | cb265f8b0d3ca5aa16ad92cdbe74e138b5f56023 | [
"Apache-2.0"
] | null | null | null | MachineLearningToolkitCore/Loss/__init__.py | showintime/MachineLearningToolkit | cb265f8b0d3ca5aa16ad92cdbe74e138b5f56023 | [
"Apache-2.0"
] | null | null | null | MachineLearningToolkitCore/Loss/__init__.py | showintime/MachineLearningToolkit | cb265f8b0d3ca5aa16ad92cdbe74e138b5f56023 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Dec 2 22:43:31 2019
@author: ZWH
"""
| 10.375 | 35 | 0.542169 | true | true | |
1c477f84e4323ce0c780a036d579746b5abba31d | 522 | py | Python | dynabuffers-python/tests/usecase/Schema03Test.py | leftshiftone/dynabuffers | c3e94c56989be3df87b50b8d9e17d1ea86199ede | [
"Apache-2.0"
] | 2 | 2019-10-28T12:28:01.000Z | 2020-07-07T12:25:40.000Z | dynabuffers-python/tests/usecase/Schema03Test.py | leftshiftone/dynabuffers | c3e94c56989be3df87b50b8d9e17d1ea86199ede | [
"Apache-2.0"
] | 1 | 2021-12-21T07:35:22.000Z | 2021-12-21T07:35:22.000Z | dynabuffers-python/tests/usecase/Schema03Test.py | leftshiftone/dynabuffers | c3e94c56989be3df87b50b8d9e17d1ea86199ede | [
"Apache-2.0"
] | 1 | 2020-03-19T09:19:43.000Z | 2020-03-19T09:19:43.000Z | import os
import unittest
from antlr4 import FileStream
from dynabuffers.Dynabuffers import Dynabuffers
class Schema03Test(unittest.TestCase):
root_dir = os.path.dirname(os.path.realpath(__file__))
def test_parse(self):
engine = Dynabuffers.parse(FileStream(self.root_dir + "/schema03.dbs"))
... | 24.857143 | 89 | 0.697318 | import os
import unittest
from antlr4 import FileStream
from dynabuffers.Dynabuffers import Dynabuffers
class Schema03Test(unittest.TestCase):
root_dir = os.path.dirname(os.path.realpath(__file__))
def test_parse(self):
engine = Dynabuffers.parse(FileStream(self.root_dir + "/schema03.dbs"))
... | true | true |
1c47802de2045227fcff56755ff71d4d4d7c6eba | 150 | py | Python | hubspot/cms/performance/api/__init__.py | fakepop/hubspot-api-python | f04103a09f93f5c26c99991b25fa76801074f3d3 | [
"Apache-2.0"
] | 1 | 2020-11-12T08:46:32.000Z | 2020-11-12T08:46:32.000Z | hubspot/cms/performance/api/__init__.py | fakepop/hubspot-api-python | f04103a09f93f5c26c99991b25fa76801074f3d3 | [
"Apache-2.0"
] | null | null | null | hubspot/cms/performance/api/__init__.py | fakepop/hubspot-api-python | f04103a09f93f5c26c99991b25fa76801074f3d3 | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
# flake8: noqa
# import apis into api package
from hubspot.cms.performance.api.default_api import DefaultApi
| 21.428571 | 62 | 0.826667 | from __future__ import absolute_import
from hubspot.cms.performance.api.default_api import DefaultApi
| true | true |
1c47816a5c703047ace0c887f2f265050774570e | 1,174 | py | Python | dir_test/test_me.py | splbio/pytestdoc | 08a8ee1a4014bb78169ee4fc41cc6b722032826e | [
"BSD-2-Clause"
] | 9 | 2015-07-08T16:25:32.000Z | 2021-04-15T10:50:12.000Z | dir_test/test_me.py | splbio/pytestdoc | 08a8ee1a4014bb78169ee4fc41cc6b722032826e | [
"BSD-2-Clause"
] | 1 | 2015-08-18T06:53:50.000Z | 2015-10-11T04:55:41.000Z | dir_test/test_me.py | splbio/pytestdoc | 08a8ee1a4014bb78169ee4fc41cc6b722032826e | [
"BSD-2-Clause"
] | 2 | 2019-04-04T08:44:13.000Z | 2021-02-22T08:12:03.000Z | import json
import pytestdoc
WHAT_IS_THIS = True
def times(x, y):
return x * y
TEST_CATEGORY="derp"
@pytestdoc.tattr_redmine_feature(7474)
@pytestdoc.tattr_redmine_bug(7475, 1776)
@pytestdoc.tattr_incomplete
@pytestdoc.tattr_category("herp")
@pytestdoc.tattr_doc("""
This is the *documentation* for my function
... | 24.978723 | 77 | 0.736797 | import json
import pytestdoc
WHAT_IS_THIS = True
def times(x, y):
return x * y
TEST_CATEGORY="derp"
@pytestdoc.tattr_redmine_feature(7474)
@pytestdoc.tattr_redmine_bug(7475, 1776)
@pytestdoc.tattr_incomplete
@pytestdoc.tattr_category("herp")
@pytestdoc.tattr_doc("""
This is the *documentation* for my function
... | true | true |
1c4781b885c055266febe549972d98ad995a452c | 2,740 | py | Python | aiida_defect/calculations.py | unkcpz/aiida-defect | 592c1d8dd8130b06d06b543d5e5d35286afa63a3 | [
"MIT"
] | 1 | 2021-02-18T07:20:02.000Z | 2021-02-18T07:20:02.000Z | aiida_defect/calculations.py | unkcpz/aiida-defect | 592c1d8dd8130b06d06b543d5e5d35286afa63a3 | [
"MIT"
] | null | null | null | aiida_defect/calculations.py | unkcpz/aiida-defect | 592c1d8dd8130b06d06b543d5e5d35286afa63a3 | [
"MIT"
] | null | null | null | """
Calculations provided by aiida_defect.
Register calculations via the "aiida.calculations" entry point in setup.json.
"""
from __future__ import absolute_import
import six
from aiida.common import datastructures
from aiida.engine import CalcJob
from aiida.orm import SinglefileData
from aiida.plugins import DataFa... | 40.895522 | 125 | 0.708394 | from __future__ import absolute_import
import six
from aiida.common import datastructures
from aiida.engine import CalcJob
from aiida.orm import SinglefileData
from aiida.plugins import DataFactory
DiffParameters = DataFactory('defect')
class DiffCalculation(CalcJob):
@classmethod
def define(cls, spec):
... | true | true |
1c4782033a601ea0f3de81c2b2d2f03f95b1884b | 2,006 | py | Python | examples/gui/__main__.py | vcokltfre/aionasa | 8cd1d496d7373c806e38eb75e0103e4377da0875 | [
"MIT"
] | 4 | 2020-11-26T10:49:53.000Z | 2021-05-18T17:56:08.000Z | examples/gui/__main__.py | vcokltfre/aionasa | 8cd1d496d7373c806e38eb75e0103e4377da0875 | [
"MIT"
] | 1 | 2021-01-07T01:41:27.000Z | 2021-01-07T01:41:27.000Z | examples/gui/__main__.py | vcokltfre/aionasa | 8cd1d496d7373c806e38eb75e0103e4377da0875 | [
"MIT"
] | 1 | 2021-08-19T18:49:53.000Z | 2021-08-19T18:49:53.000Z | import argparse
import asyncio
import os
from aionasa.epic.api import EPIC
from aionasa.utils import date_strptime
from gui import open_gui
__doc__ = "Download some images from NASA's EPIC archive and open them in a gui browser."
usage = "python -m aionasa.epic [-h] [--date DATE] [--collection COLLECTION] img_folder... | 28.657143 | 100 | 0.653539 | import argparse
import asyncio
import os
from aionasa.epic.api import EPIC
from aionasa.utils import date_strptime
from gui import open_gui
__doc__ = "Download some images from NASA's EPIC archive and open them in a gui browser."
usage = "python -m aionasa.epic [-h] [--date DATE] [--collection COLLECTION] img_folder... | true | true |
1c4782238324e2454e74dfd129755995c5656e98 | 11,993 | py | Python | aesara/graph/utils.py | danhphan/aesara | 5a0fb0e731358d54648823170acd911cc1534d6a | [
"BSD-3-Clause"
] | null | null | null | aesara/graph/utils.py | danhphan/aesara | 5a0fb0e731358d54648823170acd911cc1534d6a | [
"BSD-3-Clause"
] | null | null | null | aesara/graph/utils.py | danhphan/aesara | 5a0fb0e731358d54648823170acd911cc1534d6a | [
"BSD-3-Clause"
] | null | null | null | import linecache
import sys
import traceback
from abc import ABCMeta
from io import StringIO
from typing import TYPE_CHECKING, List, Optional, Sequence, Tuple, TypeVar, Union
if TYPE_CHECKING:
from aesara.graph.basic import Apply, Variable
T = TypeVar("T", bound=Union["Apply", "Variable"])
def simple_extract_s... | 28.622912 | 85 | 0.547736 | import linecache
import sys
import traceback
from abc import ABCMeta
from io import StringIO
from typing import TYPE_CHECKING, List, Optional, Sequence, Tuple, TypeVar, Union
if TYPE_CHECKING:
from aesara.graph.basic import Apply, Variable
T = TypeVar("T", bound=Union["Apply", "Variable"])
def simple_extract_s... | true | true |
1c47827600948d2b87bf218f91b1371ea3cbb3eb | 3,488 | py | Python | fhirclient/models/coding.py | mdx-dev/client-py | f6c16c9bd386c5b05d69753b89c6519d568814ac | [
"Apache-2.0"
] | null | null | null | fhirclient/models/coding.py | mdx-dev/client-py | f6c16c9bd386c5b05d69753b89c6519d568814ac | [
"Apache-2.0"
] | null | null | null | fhirclient/models/coding.py | mdx-dev/client-py | f6c16c9bd386c5b05d69753b89c6519d568814ac | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Generated from FHIR 4.0.0-a53ec6ee1b (http://hl7.org/fhir/StructureDefinition/Coding) on 2019-01-22.
# 2019, SMART Health IT.
from . import element
class Coding(element.Element):
"""
A
r
e
f
e
r
e
n
c
e
t
o
a... | 12.966543 | 103 | 0.294725 |
from . import element
class Coding(element.Element):
resource_type = "Coding"
def __init__(self, jsondict=None, strict=True):
self.code = None
self.display = None
self.system = None
self.userSelected = None
se... | true | true |
1c4782c8740a735f5aa4dfddb82ffcdda14f7ceb | 689 | py | Python | packages/cuda/cuSolverDn.py | lijun99/pyre | 004dfd4c06489b4ba5b32877338ca6440f2d523b | [
"BSD-3-Clause"
] | 3 | 2019-08-02T21:02:47.000Z | 2021-09-08T13:59:43.000Z | packages/cuda/cuSolverDn.py | lijun99/pyre | 004dfd4c06489b4ba5b32877338ca6440f2d523b | [
"BSD-3-Clause"
] | null | null | null | packages/cuda/cuSolverDn.py | lijun99/pyre | 004dfd4c06489b4ba5b32877338ca6440f2d523b | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Lijun Zhu
# california institute of technology
# (c) 2016-2019 all rights reserved
#
# externals
from . import cuda as libcuda # the extension
from .Matrix import Matrix
class cuSolverDn:
"""
Wrapper for cusolverDn lib utitilies
"""
def create_handle():
"""
... | 20.264706 | 57 | 0.628447 |
from . import cuda as libcuda
from .Matrix import Matrix
class cuSolverDn:
def create_handle():
handle = libcuda.cusolverDnCreate()
return handle
def get_current_handle():
from . import manager
if manager.current_device is None:
manager.device(0)... | true | true |
1c478487162412bd45e541a0e720bee7c90272d6 | 42,379 | py | Python | tensorflow/python/framework/func_graph.py | fraudies/tensorflow | a42423e302b71893bbd24aa896869941013c07fb | [
"Apache-2.0"
] | 3 | 2016-08-20T04:02:24.000Z | 2019-04-21T06:18:41.000Z | tensorflow/python/framework/func_graph.py | fraudies/tensorflow | a42423e302b71893bbd24aa896869941013c07fb | [
"Apache-2.0"
] | 59 | 2019-06-17T09:37:49.000Z | 2022-01-19T01:21:34.000Z | tensorflow/python/framework/func_graph.py | fraudies/tensorflow | a42423e302b71893bbd24aa896869941013c07fb | [
"Apache-2.0"
] | 1 | 2019-10-31T09:22:30.000Z | 2019-10-31T09:22:30.000Z | # Copyright 2018 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... | 42.720766 | 97 | 0.697704 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections as py_collections
import itertools
import weakref
from tensorflow.core.framework import attr_value_pb2
from tensorflow.python.eager import context
from tensorflow.python.eager... | true | true |
1c478522810cfe82e7a178b902b41a16a8504685 | 14,006 | py | Python | sdk/python/pulumi_azure_native/azurestackhci/v20210101preview/get_cluster.py | polivbr/pulumi-azure-native | 09571f3bf6bdc4f3621aabefd1ba6c0d4ecfb0e7 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/azurestackhci/v20210101preview/get_cluster.py | polivbr/pulumi-azure-native | 09571f3bf6bdc4f3621aabefd1ba6c0d4ecfb0e7 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/azurestackhci/v20210101preview/get_cluster.py | polivbr/pulumi-azure-native | 09571f3bf6bdc4f3621aabefd1ba6c0d4ecfb0e7 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
fro... | 39.677054 | 496 | 0.667214 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
from . import outputs
__all__ = [
'GetClusterResult',
'AwaitableGetClusterResult',
'get_cluster',
]
@pulumi.output_type
class GetClusterResult:
def __... | true | true |
1c478544308d1c24ccd1470dc7b2c5e5197b8d45 | 1,181 | py | Python | src/main.py | ITAnalyst-JU/process-logger | a51d4604b2dc3047dec9adfec96334ff20a3782f | [
"MIT"
] | null | null | null | src/main.py | ITAnalyst-JU/process-logger | a51d4604b2dc3047dec9adfec96334ff20a3782f | [
"MIT"
] | null | null | null | src/main.py | ITAnalyst-JU/process-logger | a51d4604b2dc3047dec9adfec96334ff20a3782f | [
"MIT"
] | null | null | null | #!/bin/python
import time
import argparse
from Invoker import Invoker
def parse_cmd_name(parts):
# TODO maybe for eg. 'make testall' this shoule return 'make testall' and not 'make'?
assert len(parts) >= 1
assert len(parts[0]) >= 1
x = parts[0].split('/')[-1]
assert ' ' not in x
return x
d... | 28.804878 | 111 | 0.647756 |
import time
import argparse
from Invoker import Invoker
def parse_cmd_name(parts):
assert len(parts) >= 1
assert len(parts[0]) >= 1
x = parts[0].split('/')[-1]
assert ' ' not in x
return x
def get_time_str():
t = time.localtime()
return f'{t.tm_year}.{t.tm_mon}.{t.tm_mday} {t.tm_... | true | true |
1c478548a8539ffc957d7a9e7b5a3ba080deb1de | 1,052 | py | Python | manabe/public/management/commands/fake_server.py | luoyedao/manabe | 90c158bd23e956308263b542634adc97f6526276 | [
"Apache-2.0"
] | 16 | 2018-08-12T08:28:00.000Z | 2022-03-15T02:13:42.000Z | manabe/public/management/commands/fake_server.py | luoyedao/manabe | 90c158bd23e956308263b542634adc97f6526276 | [
"Apache-2.0"
] | 14 | 2020-02-11T23:27:29.000Z | 2022-02-11T03:43:26.000Z | manabe/public/management/commands/fake_server.py | luoyedao/manabe | 90c158bd23e956308263b542634adc97f6526276 | [
"Apache-2.0"
] | 25 | 2018-08-26T07:38:46.000Z | 2022-03-15T02:13:45.000Z | from random import choice
from django.contrib.auth.models import User
from appinput.models import App
from envx.models import Env
from serverinput.models import Server
def fake_server_data():
Server.objects.all().delete()
print('delete all server data')
user_set = User.objects.all()
app_set = App.obj... | 35.066667 | 78 | 0.586502 | from random import choice
from django.contrib.auth.models import User
from appinput.models import App
from envx.models import Env
from serverinput.models import Server
def fake_server_data():
Server.objects.all().delete()
print('delete all server data')
user_set = User.objects.all()
app_set = App.obj... | true | true |
1c47869bfa0f88eba2e94f57df3c36bcb2331ede | 404 | py | Python | server/src/prefect_server/utilities/__init__.py | louisditzel/prefect | b1a02fee623b965e756a38aa09059db780ab67eb | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2020-05-10T14:32:32.000Z | 2020-05-10T14:32:32.000Z | server/src/prefect_server/utilities/__init__.py | louisditzel/prefect | b1a02fee623b965e756a38aa09059db780ab67eb | [
"ECL-2.0",
"Apache-2.0"
] | 3 | 2022-02-14T11:25:57.000Z | 2022-02-27T16:25:14.000Z | server/src/prefect_server/utilities/__init__.py | louisditzel/prefect | b1a02fee623b965e756a38aa09059db780ab67eb | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2020-05-31T04:42:56.000Z | 2020-05-31T04:42:56.000Z | # Licensed under the Prefect Community License, available at
# https://www.prefect.io/legal/prefect-community-license
import prefect_server.utilities.context
import prefect_server.utilities.exceptions
import prefect_server.utilities.graphql
import prefect_server.utilities.logging
import prefect_server.utilities.names... | 33.666667 | 60 | 0.868812 |
import prefect_server.utilities.context
import prefect_server.utilities.exceptions
import prefect_server.utilities.graphql
import prefect_server.utilities.logging
import prefect_server.utilities.names
import prefect_server.utilities.tests
import prefect_server.utilities.asynchronous
| true | true |
1c47883aeba99de2cb069da42b1663aff45d1bfb | 11,011 | py | Python | data_kits/nf_kits.py | Jarvis73/DINs | fe967115182a47b9ad1018658cd1be745831e7aa | [
"MIT"
] | null | null | null | data_kits/nf_kits.py | Jarvis73/DINs | fe967115182a47b9ad1018658cd1be745831e7aa | [
"MIT"
] | null | null | null | data_kits/nf_kits.py | Jarvis73/DINs | fe967115182a47b9ad1018658cd1be745831e7aa | [
"MIT"
] | null | null | null | # Copyright 2019-2020 Jianwei Zhang All Right 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 applicable la... | 38.365854 | 101 | 0.612297 |
import pickle
import zlib
from pathlib import Path
import nibabel as nib
import numpy as np
import pandas as pd
import scipy.ndimage as ndi
import tqdm
ROOT = Path(__file__).parent.parent.parent
DATA_ROOT = ROOT / "data/NF"
def read_nii(file_name, out_dtype=np.int16, special=False, only_header=False... | true | true |
1c4788a7fec1e92cf4988f8cd63897bc0a883269 | 1,288 | py | Python | setup.py | AbhiProjects/TagLib | 214139259157a7b3ec3f2fb7b342411a33b85839 | [
"BSD-3-Clause"
] | null | null | null | setup.py | AbhiProjects/TagLib | 214139259157a7b3ec3f2fb7b342411a33b85839 | [
"BSD-3-Clause"
] | null | null | null | setup.py | AbhiProjects/TagLib | 214139259157a7b3ec3f2fb7b342411a33b85839 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
"""Setup script for taglib"""
import sys
if sys.hexversion < 0x02060000:
print >> sys.stderr, 'Sorry, Python 2.6 is required.'
sys.exit(1)
from distutils.core import setup
sys.dont_write_bytecode = True # don't leave turds
from taglib import __version__
def main():
setup(name='t... | 29.953488 | 78 | 0.585404 |
import sys
if sys.hexversion < 0x02060000:
print >> sys.stderr, 'Sorry, Python 2.6 is required.'
sys.exit(1)
from distutils.core import setup
sys.dont_write_bytecode = True
from taglib import __version__
def main():
setup(name='taglib',
author='Chris Jones',
author_email='cjones... | true | true |
1c478921c64292aa5b2d3adeb81064377fca26e0 | 1,101 | py | Python | azure-mgmt-recoveryservicesbackup/azure/mgmt/recoveryservicesbackup/models/schedule_policy.py | v-Ajnava/azure-sdk-for-python | a1f6f80eb5869c5b710e8bfb66146546697e2a6f | [
"MIT"
] | 4 | 2016-06-17T23:25:29.000Z | 2022-03-30T22:37:45.000Z | azure-mgmt-recoveryservicesbackup/azure/mgmt/recoveryservicesbackup/models/schedule_policy.py | v-Ajnava/azure-sdk-for-python | a1f6f80eb5869c5b710e8bfb66146546697e2a6f | [
"MIT"
] | 54 | 2016-03-25T17:25:01.000Z | 2018-10-22T17:27:54.000Z | azure-mgmt-recoveryservicesbackup/azure/mgmt/recoveryservicesbackup/models/schedule_policy.py | v-Ajnava/azure-sdk-for-python | a1f6f80eb5869c5b710e8bfb66146546697e2a6f | [
"MIT"
] | 3 | 2016-05-03T20:49:46.000Z | 2017-10-05T21:05:27.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 30.583333 | 132 | 0.608538 |
from msrest.serialization import Model
class SchedulePolicy(Model):
_validation = {
'schedule_policy_type': {'required': True},
}
_attribute_map = {
'schedule_policy_type': {'key': 'schedulePolicyType', 'type': 'str'},
}
_subtype_map = {
'schedule_policy_type'... | true | true |
1c478b7837a4774911d31634003c88b12e9c37bc | 3,439 | py | Python | assets/winc_firmware_upgrade/firmware/handler_search.py | rashedtalukder/cryptoauth_trustplatform_designsuite | 6b42c64071a9fb5dc9894bfedbbfabbcfb7961c1 | [
"MIT"
] | 11 | 2019-12-03T14:18:38.000Z | 2021-08-25T16:41:27.000Z | assets/winc_firmware_upgrade/firmware/handler_search.py | rashedtalukder/cryptoauth_trustplatform_designsuite | 6b42c64071a9fb5dc9894bfedbbfabbcfb7961c1 | [
"MIT"
] | 9 | 2020-02-13T09:07:42.000Z | 2022-03-18T18:29:24.000Z | assets/winc_firmware_upgrade/firmware/handler_search.py | rashedtalukder/cryptoauth_trustplatform_designsuite | 6b42c64071a9fb5dc9894bfedbbfabbcfb7961c1 | [
"MIT"
] | 10 | 2020-04-28T10:35:48.000Z | 2021-11-03T23:03:30.000Z | '''
Simple program to get a hint where simple programs might be installed by chasing thru registry,
does not deal with things like word which are beyonf complicated.
Pass in extention to check and a hint at what program you want.
Returns 0 if found.
2 for parm error
1 for not found
Eg
C:\work_repos\>python handler... | 27.95935 | 95 | 0.549578 | import sys
import os
import winreg
roots_hives = {
"HKEY_CLASSES_ROOT": winreg.HKEY_CLASSES_ROOT,
"HKEY_CURRENT_USER": winreg.HKEY_CURRENT_USER,
"HKEY_LOCAL_MACHINE": winreg.HKEY_LOCAL_MACHINE,
"HKEY_USERS": winreg.HKEY_USERS,
"HKEY_PERFORMANCE_DATA": winreg.HKEY_PERFORMANCE_DATA,
"HKEY_CURRENT... | true | true |
1c478b7de55a29c23c21c47bbecf9e11a14c3e20 | 7,684 | py | Python | test/test_grapher.py | leehyoeun96/rosprofiler | c7bee4e98d8417cd3e2a8ef246b7930c97c74dc5 | [
"Apache-2.0"
] | 6 | 2017-11-18T05:59:22.000Z | 2022-01-01T11:56:00.000Z | test/test_grapher.py | leehyoeun96/rosprofiler | c7bee4e98d8417cd3e2a8ef246b7930c97c74dc5 | [
"Apache-2.0"
] | 3 | 2015-04-11T20:04:24.000Z | 2018-06-19T21:55:39.000Z | test/test_grapher.py | leehyoeun96/rosprofiler | c7bee4e98d8417cd3e2a8ef246b7930c97c74dc5 | [
"Apache-2.0"
] | 15 | 2017-11-19T05:03:29.000Z | 2021-03-15T15:26:37.000Z | #!/usr/bin/env python
# Copyright 2014 Open Source Robotics Foundation, 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/licenses/LICENSE-2.0
#
# Unless requ... | 49.574194 | 153 | 0.730739 |
import sys
import unittest
import time
import rospy
import rostest
from ros_topology_msgs.msg import *
PKG = 'rosprofiler'
NAME = 'test_grapher'
EXPECTED_NODES = dict()
talker1 = Node(name="/talker1")
talker1.publishes.append("/chatter")
talker1.publishes.append("/rosout")
talker1.connections.append(... | true | true |
1c478bdc9499e3ce8182dc63c0c4b8edbd2abeb0 | 12,032 | py | Python | stellapy/stellapy_old/stella_read.py | SStroteich/stella-1 | 104556a07b9736e7c28e6f1bf2f799384732f38b | [
"MIT"
] | 4 | 2021-12-15T08:23:45.000Z | 2022-02-18T15:14:42.000Z | stellapy/stellapy_old/stella_read.py | SStroteich/stella-1 | 104556a07b9736e7c28e6f1bf2f799384732f38b | [
"MIT"
] | 37 | 2021-07-05T16:41:33.000Z | 2022-03-21T15:58:05.000Z | stellapy/stellapy_old/stella_read.py | SStroteich/stella-1 | 104556a07b9736e7c28e6f1bf2f799384732f38b | [
"MIT"
] | 7 | 2021-07-05T15:35:55.000Z | 2022-03-09T09:23:42.000Z | import numpy as np
from stella_dirs import *
from scipy.io import netcdf
#plt.rcParams.update({'font.size': 28})
#plt.rcParams['lines.linewidth'] = 2
import tabCompleter
from tabCompleter import *
from plotbox import *
from aux_functions import *
from os import listdir
from netCDF4 import *
import glob
import os.path
... | 31.915119 | 93 | 0.640376 | import numpy as np
from stella_dirs import *
from scipy.io import netcdf
import tabCompleter
from tabCompleter import *
from plotbox import *
from aux_functions import *
from os import listdir
from netCDF4 import *
import glob
import os.path
def format1(value):
return "%.3e" % value
def format2(value):
re... | true | true |
1c478c2f72be04820d92305cfffce27aa98c7fa4 | 907 | py | Python | electrum/tests/__init__.py | checho1989/electrum-civx | 4853bf42f0aa96bb894992c1abf7b8bdda587543 | [
"MIT"
] | null | null | null | electrum/tests/__init__.py | checho1989/electrum-civx | 4853bf42f0aa96bb894992c1abf7b8bdda587543 | [
"MIT"
] | null | null | null | electrum/tests/__init__.py | checho1989/electrum-civx | 4853bf42f0aa96bb894992c1abf7b8bdda587543 | [
"MIT"
] | null | null | null | import unittest
import threading
from electrum_civx import constants
# Set this locally to make the test suite run faster.
# If set, unit tests that would normally test functions with multiple implementations,
# will only be run once, using the fastest implementation.
# e.g. libsecp256k1 vs python-ecdsa. pycryptodom... | 23.25641 | 86 | 0.705623 | import unittest
import threading
from electrum_civx import constants
FAST_TESTS = False
class SequentialTestCase(unittest.TestCase):
test_lock = threading.Lock()
def setUp(self):
super().setUp()
self.test_lock.acquire()
def tearDown(self):
super().tearDown()
self... | true | true |
1c478c32bd4fd3adda92f37777aa80cd495fcafb | 926 | py | Python | common/models/notice/UserNews.py | apanly/python_learn_master | 93a214241812f77a006cc8350a7bad6c4eec6c89 | [
"BSD-3-Clause"
] | 5 | 2020-11-29T14:21:18.000Z | 2021-10-07T04:11:29.000Z | common/models/notice/UserNews.py | linkgeek/python_flask_cms | ff5e794b5b11075670e5d11a8cbda0a137319876 | [
"BSD-3-Clause"
] | null | null | null | common/models/notice/UserNews.py | linkgeek/python_flask_cms | ff5e794b5b11075670e5d11a8cbda0a137319876 | [
"BSD-3-Clause"
] | 2 | 2020-11-30T09:55:53.000Z | 2022-03-19T12:49:40.000Z | # coding: utf-8
from application import db
class UserNews(db.Model):
__tablename__ = 'user_news'
id = db.Column(db.Integer, primary_key=True, info='消息id')
uid = db.Column(db.Integer, nullable=False, server_default=db.FetchedValue(), info='用户id')
title = db.Column(db.String(255), nullable=False, server_... | 51.444444 | 105 | 0.686825 |
from application import db
class UserNews(db.Model):
__tablename__ = 'user_news'
id = db.Column(db.Integer, primary_key=True, info='消息id')
uid = db.Column(db.Integer, nullable=False, server_default=db.FetchedValue(), info='用户id')
title = db.Column(db.String(255), nullable=False, server_default=db.Fetc... | true | true |
1c478d69dfa8ae825ea6fc0e5a10dfc164798605 | 3,750 | py | Python | nova/scheduler/filters/disk_filter.py | panguan737/nova | 0d177185a439baa228b42c948cab4e934d6ac7b8 | [
"Apache-2.0"
] | null | null | null | nova/scheduler/filters/disk_filter.py | panguan737/nova | 0d177185a439baa228b42c948cab4e934d6ac7b8 | [
"Apache-2.0"
] | null | null | null | nova/scheduler/filters/disk_filter.py | panguan737/nova | 0d177185a439baa228b42c948cab4e934d6ac7b8 | [
"Apache-2.0"
] | 1 | 2020-11-02T10:17:13.000Z | 2020-11-02T10:17:13.000Z | # Copyright (c) 2012 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 ... | 37.5 | 79 | 0.6496 |
from oslo_log import log as logging
import nova.conf
from nova.i18n import _LW
from nova.scheduler import filters
from nova.scheduler.filters import utils
LOG = logging.getLogger(__name__)
CONF = nova.conf.CONF
class DiskFilter(filters.BaseHostFilter):
RUN_ON_REBUILD = False
def _get_disk_... | true | true |
1c478dfbc5d80108de891f08ddbc1d37b7c4fa6e | 7,930 | py | Python | tests/user/test_scoreboard.py | HYU-ICEWALL/CTFd | d2d95d882663d39d32527afd4382f07188ecb89a | [
"Apache-2.0"
] | null | null | null | tests/user/test_scoreboard.py | HYU-ICEWALL/CTFd | d2d95d882663d39d32527afd4382f07188ecb89a | [
"Apache-2.0"
] | null | null | null | tests/user/test_scoreboard.py | HYU-ICEWALL/CTFd | d2d95d882663d39d32527afd4382f07188ecb89a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from CTFd.models import Teams, Solves, WrongKeys
from CTFd.utils import get_config, set_config
from CTFd import utils
from tests.helpers import *
from freezegun import freeze_time
from mock import patch
import json
def test_top_10():
'''Make sure top10 returns correc... | 34.034335 | 115 | 0.509458 |
from CTFd.models import Teams, Solves, WrongKeys
from CTFd.utils import get_config, set_config
from CTFd import utils
from tests.helpers import *
from freezegun import freeze_time
from mock import patch
import json
def test_top_10():
app = create_ctfd()
with app.app_context():
register_user(app, na... | true | true |
1c478ed2cb7df85c8da293ebd6985cd21b3671a5 | 3,769 | py | Python | pynventory/hosts.py | kufsa/pynventory | 708e7950c38e873b2a4b7bdc779c0533888ac811 | [
"MIT"
] | null | null | null | pynventory/hosts.py | kufsa/pynventory | 708e7950c38e873b2a4b7bdc779c0533888ac811 | [
"MIT"
] | null | null | null | pynventory/hosts.py | kufsa/pynventory | 708e7950c38e873b2a4b7bdc779c0533888ac811 | [
"MIT"
] | null | null | null | from fabric import Connection
from invoke.exceptions import UnexpectedExit
class LinuxHost:
def __init__(self, host, user):
self.connection = Connection(host, connect_timeout=1, user=user, )
self.host = host
@staticmethod
def display_name():
return 'Host'
def __str__(self):
... | 30.893443 | 106 | 0.555585 | from fabric import Connection
from invoke.exceptions import UnexpectedExit
class LinuxHost:
def __init__(self, host, user):
self.connection = Connection(host, connect_timeout=1, user=user, )
self.host = host
@staticmethod
def display_name():
return 'Host'
def __str__(self):
... | true | true |
1c478ee5315f97fa1a7ac3ba3481af09e56571ff | 786 | py | Python | setup.py | AndrewRPorter/stocki | 0793fe05735c8c803f5cb3ef2ea029a82243dbbd | [
"MIT"
] | 33 | 2018-07-11T19:22:00.000Z | 2021-01-02T13:01:10.000Z | setup.py | AndrewRPorter/stocki | 0793fe05735c8c803f5cb3ef2ea029a82243dbbd | [
"MIT"
] | 2 | 2018-07-12T12:33:46.000Z | 2018-07-16T13:07:59.000Z | setup.py | AndrewRPorter/stocki | 0793fe05735c8c803f5cb3ef2ea029a82243dbbd | [
"MIT"
] | 5 | 2018-07-11T17:22:07.000Z | 2019-03-19T08:48:08.000Z | from setuptools import setup
try:
with open("LICENSE.txt", "r") as f:
_license = f.read()
except Exception:
_license = ""
try:
with open("README.md", "r") as f:
_readme = f.read()
except Exception:
_readme = ""
install_requires = ["requests", "urwid", "pycodestyle"]
setup(
nam... | 22.457143 | 70 | 0.652672 | from setuptools import setup
try:
with open("LICENSE.txt", "r") as f:
_license = f.read()
except Exception:
_license = ""
try:
with open("README.md", "r") as f:
_readme = f.read()
except Exception:
_readme = ""
install_requires = ["requests", "urwid", "pycodestyle"]
setup(
nam... | true | true |
1c478fc5baec380c9474bb2707520c938527aa52 | 1,730 | py | Python | Puzzle5/binaryPartitioning.py | manasharma90/AoC-2020-Python | 6a979eff34136b6b74a340c40121da76e35451da | [
"Apache-2.0"
] | null | null | null | Puzzle5/binaryPartitioning.py | manasharma90/AoC-2020-Python | 6a979eff34136b6b74a340c40121da76e35451da | [
"Apache-2.0"
] | null | null | null | Puzzle5/binaryPartitioning.py | manasharma90/AoC-2020-Python | 6a979eff34136b6b74a340c40121da76e35451da | [
"Apache-2.0"
] | null | null | null |
# defining a function to execute binary partitioning of a list
# input = list; output = tuple with two lists ie. ([first half list], [second half list])
def list_half(input_list):
half = len(input_list)//2
lower_half = input_list[:half]
upper_half = input_list[half:]
return lower_half, upper_half
w... | 25.441176 | 108 | 0.616185 |
def list_half(input_list):
half = len(input_list)//2
lower_half = input_list[:half]
upper_half = input_list[half:]
return lower_half, upper_half
with open('input.txt', 'r') as f:
a = f.read()
boarding_passes = a.split('\n')
boarding_passes_cleaned = []
for bp in boarding_passes:
if len... | true | true |
1c4790bd2a51657327ca769fe5588e04bb77bab6 | 2,878 | py | Python | python/src/nnabla/backward_function/div2.py | chunxiaosz/nnabla | 9f4249313129d0fd23d304453830157fee96a2e5 | [
"Apache-2.0"
] | 1 | 2019-09-10T06:51:37.000Z | 2019-09-10T06:51:37.000Z | python/src/nnabla/backward_function/div2.py | langbin2014/nnabla | e94bac5bed65337010e2ac07a5937fb862ab2dd8 | [
"Apache-2.0"
] | null | null | null | python/src/nnabla/backward_function/div2.py | langbin2014/nnabla | e94bac5bed65337010e2ac07a5937fb862ab2dd8 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2017 Sony Corporation. 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 applicabl... | 35.097561 | 91 | 0.589298 |
import numpy as np
import nnabla as nn
import nnabla.functions as F
from .backward_function import BackwardFunction
class Div2Backward(BackwardFunction):
def name(self):
return 'Div2Backward'
def _create_forward_inputs_and_outputs(self, inputs, outputs):
inputs_fwd = [... | true | true |
1c4791f5de8986417f5d44fefb3cdffd7192c28f | 2,568 | py | Python | python_scripts/linear_models_sol_03.py | odotreppe/scikit-learn-mooc | da97773fc9b860371e94e3c72791b0c92471b22d | [
"CC-BY-4.0"
] | 2 | 2021-09-30T11:07:28.000Z | 2021-09-30T11:07:31.000Z | python_scripts/linear_models_sol_03.py | Ravimk07/scikit-learn-mooc | c3aaf8c5a9aa4f1d749ebc1b7d5ae24619fee4bf | [
"CC-BY-4.0"
] | null | null | null | python_scripts/linear_models_sol_03.py | Ravimk07/scikit-learn-mooc | c3aaf8c5a9aa4f1d749ebc1b7d5ae24619fee4bf | [
"CC-BY-4.0"
] | null | null | null | # %% [markdown]
# # 📃 Solution for Exercise M4.03
#
# In all previous notebooks, we only used a single feature in `data`. But we
# have already shown that we could add new features to make the model more
# expressive by deriving new features, based on the original feature.
#
# The aim of this notebook is to train a li... | 35.666667 | 112 | 0.720405 |
arn.datasets import fetch_california_housing
data, target = fetch_california_housing(as_frame=True, return_X_y=True)
target *= 100
data.head()
from sklearn.linear_model import LinearRegression
linear_regression = LinearRegression()
from sklearn.model_selection import cross_validate
cv_results = c... | true | true |
1c47920152539c32902149b890e26eb84bfb3c09 | 5,674 | py | Python | novaclient/v1_1/volumes.py | citrix-openstack-build/python-novaclient | 3d73fb36e7c5e5f933560760f46ff6aec74ff093 | [
"Apache-1.1"
] | 1 | 2015-02-16T09:37:00.000Z | 2015-02-16T09:37:00.000Z | novaclient/v1_1/volumes.py | sivel/python-novaclient | 810857849ed32773c38df12785715f89d33e83af | [
"Apache-1.1"
] | null | null | null | novaclient/v1_1/volumes.py | sivel/python-novaclient | 810857849ed32773c38df12785715f89d33e83af | [
"Apache-1.1"
] | null | null | null | # Copyright 2011 Denali Systems, Inc.
# 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 requ... | 34.180723 | 78 | 0.605217 |
import six
from novaclient import base
from novaclient.openstack.common.py3kcompat import urlutils
class Volume(base.Resource):
NAME_ATTR = 'display_name'
def __repr__(self):
return "<Volume: %s>" % self.id
def delete(self):
self.manager.delete(self)
class VolumeManage... | true | true |
1c47922da6f61b01101caee74d5b39091250523f | 5,778 | py | Python | deepspeech_pytorch/validation.py | RaphaelOlivier/deepspeech.pytorch | eb73ef61807ab01fad3662ad03dfea8fd44439aa | [
"MIT"
] | 1 | 2021-08-07T07:12:40.000Z | 2021-08-07T07:12:40.000Z | deepspeech_pytorch/validation.py | RaphaelOlivier/deepspeech.pytorch | eb73ef61807ab01fad3662ad03dfea8fd44439aa | [
"MIT"
] | 1 | 2019-02-07T12:52:46.000Z | 2019-02-07T12:52:46.000Z | deepspeech_pytorch/validation.py | RaphaelOlivier/deepspeech.pytorch | eb73ef61807ab01fad3662ad03dfea8fd44439aa | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
import torch
from torch.cuda.amp import autocast
from tqdm import tqdm
from deepspeech_pytorch.decoder import Decoder, GreedyDecoder
from pytorch_lightning.metrics import Metric
import Levenshtein as Lev
class ErrorRate(Metric, ABC):
def __init__(self,
decod... | 33.789474 | 81 | 0.602631 | from abc import ABC, abstractmethod
import torch
from torch.cuda.amp import autocast
from tqdm import tqdm
from deepspeech_pytorch.decoder import Decoder, GreedyDecoder
from pytorch_lightning.metrics import Metric
import Levenshtein as Lev
class ErrorRate(Metric, ABC):
def __init__(self,
decod... | true | true |
1c479507647de6ce6ea1f9c6b660694c87468544 | 4,167 | py | Python | polish/utils/host_call_fn.py | kinoute/google-research | 4a59cab927579ea9722e43252c695de5da4eb5e2 | [
"Apache-2.0"
] | 11 | 2020-01-29T07:25:04.000Z | 2022-03-05T16:01:21.000Z | polish/utils/host_call_fn.py | RubensZimbres/google-research | 562c7c6ef959cb3cb382b1b660ccc45e8f5289c4 | [
"Apache-2.0"
] | 13 | 2020-01-28T22:19:53.000Z | 2022-02-10T00:39:26.000Z | polish/utils/host_call_fn.py | RubensZimbres/google-research | 562c7c6ef959cb3cb382b1b660ccc45e8f5289c4 | [
"Apache-2.0"
] | 2 | 2020-02-27T11:09:49.000Z | 2021-08-25T07:32:15.000Z | # coding=utf-8
# Copyright 2019 The Google Research 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 applicab... | 36.552632 | 78 | 0.708903 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import gin
import tensorflow as tf
from tensorflow.contrib import summary as contrib_summary
@gin.configurable
def build_host_call_fn_every_n_global_steps(
params,
names_and_tensors,
... | true | true |
1c47967d6dc098c03dfcc9f615566eb99f55f87c | 78,681 | py | Python | src/transformers/modeling_tf_utils.py | holazzer/transformers | 53191d75ecca21c028077b3227f9ac47379e4690 | [
"Apache-2.0"
] | 9 | 2021-07-31T12:02:20.000Z | 2021-09-21T00:40:43.000Z | src/transformers/modeling_tf_utils.py | holazzer/transformers | 53191d75ecca21c028077b3227f9ac47379e4690 | [
"Apache-2.0"
] | null | null | null | src/transformers/modeling_tf_utils.py | holazzer/transformers | 53191d75ecca21c028077b3227f9ac47379e4690 | [
"Apache-2.0"
] | 1 | 2021-10-01T05:32:22.000Z | 2021-10-01T05:32:22.000Z | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. 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 cop... | 45.192993 | 167 | 0.63202 |
import functools
import inspect
import os
import re
import warnings
from typing import Dict, List, Optional, Union
import h5py
import numpy as np
import tensorflow as tf
from tensorflow.python.keras import backend as K
from tensorflow.python.keras.saving import hdf5_format
from .configuration_utils im... | true | true |
1c47973c175cf48b3b9eebccc97189614023378a | 3,319 | py | Python | zerver/lib/sessions.py | DD2480-group7-2020/zulip | 9a1e18bcf383c38c35da168563a7345768c6d784 | [
"Apache-2.0"
] | 1 | 2020-03-17T14:58:50.000Z | 2020-03-17T14:58:50.000Z | zerver/lib/sessions.py | DD2480-group7-2020/zulip | 9a1e18bcf383c38c35da168563a7345768c6d784 | [
"Apache-2.0"
] | null | null | null | zerver/lib/sessions.py | DD2480-group7-2020/zulip | 9a1e18bcf383c38c35da168563a7345768c6d784 | [
"Apache-2.0"
] | null | null | null | import logging
from datetime import timedelta
from django.conf import settings
from django.contrib.auth import SESSION_KEY, get_user_model
from django.contrib.sessions.models import Session
from django.utils.timezone import now as timezone_now
from importlib import import_module
from typing import Any, List, Mapping, ... | 40.975309 | 108 | 0.730642 | import logging
from datetime import timedelta
from django.conf import settings
from django.contrib.auth import SESSION_KEY, get_user_model
from django.contrib.sessions.models import Session
from django.utils.timezone import now as timezone_now
from importlib import import_module
from typing import Any, List, Mapping, ... | true | true |
1c47973f15053c421fd0ceb6b824666a3ce5fbc4 | 50,742 | py | Python | Funções Analíticas/Virtualenv/Lib/site-packages/matplotlib/__init__.py | Leonardo-Maciel/PSO_Maciel | 3939448da45716260f3ac7811afdd13be670f346 | [
"MIT"
] | 76 | 2020-07-06T14:44:05.000Z | 2022-02-14T15:30:21.000Z | Funções Analíticas/Virtualenv/Lib/site-packages/matplotlib/__init__.py | Leonardo-Maciel/PSO_Maciel | 3939448da45716260f3ac7811afdd13be670f346 | [
"MIT"
] | 11 | 2020-08-09T02:30:14.000Z | 2022-03-12T00:50:14.000Z | Funções Analíticas/Virtualenv/Lib/site-packages/matplotlib/__init__.py | Leonardo-Maciel/PSO_Maciel | 3939448da45716260f3ac7811afdd13be670f346 | [
"MIT"
] | 11 | 2020-07-12T16:18:07.000Z | 2022-02-05T16:48:35.000Z | """
An object-oriented plotting library.
A procedural interface is provided by the companion pyplot module,
which may be imported directly, e.g.::
import matplotlib.pyplot as plt
or using ipython::
ipython
at your terminal, followed by::
In [1]: %matplotlib
In [2]: import matplotlib.pyplot as plt
... | 34.192722 | 79 | 0.619566 |
import atexit
from collections import namedtuple
from collections.abc import MutableMapping
import contextlib
from distutils.version import LooseVersion
import functools
import importlib
import inspect
from inspect import Parameter
import locale
import logging
import os
from pathlib import Path
import pprint
import re... | true | true |
1c4797802e5895313ae0514ecdda3acd949bd084 | 6,958 | py | Python | Lib/objc/CoreTelephony.py | snazari/Pyto | bcea7bbef35cab21ce73087b1a0c00a07d07ec72 | [
"MIT"
] | 701 | 2018-10-22T11:54:09.000Z | 2022-03-31T14:39:30.000Z | Lib/objc/CoreTelephony.py | snazari/Pyto | bcea7bbef35cab21ce73087b1a0c00a07d07ec72 | [
"MIT"
] | 229 | 2018-10-24T09:15:31.000Z | 2021-12-24T16:51:37.000Z | Lib/objc/CoreTelephony.py | snazari/Pyto | bcea7bbef35cab21ce73087b1a0c00a07d07ec72 | [
"MIT"
] | 131 | 2018-11-25T18:33:03.000Z | 2022-03-24T03:18:07.000Z | """
Classes from the 'CoreTelephony' framework.
"""
try:
from rubicon.objc import ObjCClass
except ValueError:
def ObjCClass(name):
return None
def _Class(name):
try:
return ObjCClass(name)
except NameError:
return None
MuxNotificationSink = _Class("MuxNotificationSink")
Co... | 47.333333 | 87 | 0.841765 |
try:
from rubicon.objc import ObjCClass
except ValueError:
def ObjCClass(name):
return None
def _Class(name):
try:
return ObjCClass(name)
except NameError:
return None
MuxNotificationSink = _Class("MuxNotificationSink")
CoreTelephonyClientRemoteAsyncProxy = _Class("CoreTele... | true | true |
1c4798111c6d8c070c9d6fc6c731414b5eeea115 | 34 | py | Python | main/views/admin/profile/__init__.py | tiberiucorbu/av-website | f26f44a367d718316442506b130a7034697670b8 | [
"MIT"
] | null | null | null | main/views/admin/profile/__init__.py | tiberiucorbu/av-website | f26f44a367d718316442506b130a7034697670b8 | [
"MIT"
] | null | null | null | main/views/admin/profile/__init__.py | tiberiucorbu/av-website | f26f44a367d718316442506b130a7034697670b8 | [
"MIT"
] | null | null | null | from .profile_controller import *
| 17 | 33 | 0.823529 | from .profile_controller import *
| true | true |
1c4799987b867024deedfd8f407f6c7f0bdfb743 | 1,772 | py | Python | keylime/tornado_requests.py | ansasaki/keylime | 6aeb105975e8f2b3e9c83417dcf69b25dc2d69e4 | [
"Apache-2.0"
] | null | null | null | keylime/tornado_requests.py | ansasaki/keylime | 6aeb105975e8f2b3e9c83417dcf69b25dc2d69e4 | [
"Apache-2.0"
] | null | null | null | keylime/tornado_requests.py | ansasaki/keylime | 6aeb105975e8f2b3e9c83417dcf69b25dc2d69e4 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
'''
SPDX-License-Identifier: Apache-2.0
Copyright 2017 Massachusetts Institute of Technology.
'''
import ssl
from tornado import httpclient
from keylime import json
async def request(method, url, params=None, data=None, context=None, headers=None):
http_client = httpclient.AsyncHTTPCli... | 28.580645 | 83 | 0.586907 |
import ssl
from tornado import httpclient
from keylime import json
async def request(method, url, params=None, data=None, context=None, headers=None):
http_client = httpclient.AsyncHTTPClient()
if params is not None and len(list(params.keys())) > 0:
url += '?'
for key in list(params.keys... | true | true |
1c479a27833091f86e7dce2d076b0b29113122e0 | 1,190 | py | Python | rgbContrast.py | tsarjak/gsoc_code_library | 961cea8e0833d28e5c78e7dd06f7c3823b38cbfb | [
"MIT"
] | null | null | null | rgbContrast.py | tsarjak/gsoc_code_library | 961cea8e0833d28e5c78e7dd06f7c3823b38cbfb | [
"MIT"
] | null | null | null | rgbContrast.py | tsarjak/gsoc_code_library | 961cea8e0833d28e5c78e7dd06f7c3823b38cbfb | [
"MIT"
] | null | null | null | import cv2
from PIL import Image
import numpy as np
def arrayToImage(img,sizeX,sizeY,saveAs):
rgbArray = np.zeros((sizeX,sizeY,3),'uint8')
for i in range(0,sizeX):
for j in range(0,sizeY):
for k in range(0,3):
rgbArray[i,j,k] = img[i,j,k] * 255
img = Image.fromarray(rg... | 25.869565 | 65 | 0.544538 | import cv2
from PIL import Image
import numpy as np
def arrayToImage(img,sizeX,sizeY,saveAs):
rgbArray = np.zeros((sizeX,sizeY,3),'uint8')
for i in range(0,sizeX):
for j in range(0,sizeY):
for k in range(0,3):
rgbArray[i,j,k] = img[i,j,k] * 255
img = Image.fromarray(rg... | true | true |
1c479cab6063cd842005ff2b64e355a6610808bd | 31,229 | py | Python | fstunes/__init__.py | raxod502/fstunes | d54860ba1a709ce75855e6897d7f8019ecb92640 | [
"MIT"
] | 1 | 2019-05-03T04:08:17.000Z | 2019-05-03T04:08:17.000Z | fstunes/__init__.py | raxod502/fstunes | d54860ba1a709ce75855e6897d7f8019ecb92640 | [
"MIT"
] | null | null | null | fstunes/__init__.py | raxod502/fstunes | d54860ba1a709ce75855e6897d7f8019ecb92640 | [
"MIT"
] | null | null | null | import argparse
import bisect
import collections
import math
import mutagen
import os
import pathlib
import random
import re
import shutil
import string
import sys
def has_duplicates(l):
return len(l) != len(set(l))
def iter_len(iterable):
return sum(1 for _ in iterable)
def plural(n):
return "s" if n !=... | 36.957396 | 79 | 0.573666 | import argparse
import bisect
import collections
import math
import mutagen
import os
import pathlib
import random
import re
import shutil
import string
import sys
def has_duplicates(l):
return len(l) != len(set(l))
def iter_len(iterable):
return sum(1 for _ in iterable)
def plural(n):
return "s" if n !=... | true | true |
1c479ce23370138a8cdf01d03c981094aa08ac95 | 1,867 | py | Python | python/testData/inspections/PyCompatibilityInspection/numericLiteralExpression.py | CeH9/intellij-community | ae45cfd4c76876f9b1c58c6f46508d18523ebd41 | [
"Apache-2.0"
] | 1 | 2020-05-30T04:49:44.000Z | 2020-05-30T04:49:44.000Z | python/testData/inspections/PyCompatibilityInspection/numericLiteralExpression.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 2 | 2022-02-19T09:45:05.000Z | 2022-02-27T20:32:55.000Z | python/testData/inspections/PyCompatibilityInspection/numericLiteralExpression.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 2 | 2020-03-15T08:57:37.000Z | 2020-04-07T04:48:14.000Z | a = <error descr="Python does not support a trailing 'u'">12u</error>
b = <warning descr="Python version 3.4, 3.5, 3.6, 3.7, 3.8 do not support a trailing 'l'.">12l</warning>
c = <error descr="Python does not support a trailing 'll'">12ll</error>
d = <error descr="Python does not support a trailing 'U'">12U</error>
e =... | 81.173913 | 193 | 0.706481 | a = <error descr="Python does not support a trailing 'u'">12u</error>
b = <warning descr="Python version 3.4, 3.5, 3.6, 3.7, 3.8 do not support a trailing 'l'.">12l</warning>
c = <error descr="Python does not support a trailing 'll'">12ll</error>
d = <error descr="Python does not support a trailing 'U'">12U</error>
e =... | false | true |
1c479d15f72832953af2ac415b7d3ec3543095c2 | 1,214 | py | Python | setup.py | DanielR59/mljar-supervised | 04a90ffbff33b2c93a7c212825b987e73b7f62fe | [
"MIT"
] | null | null | null | setup.py | DanielR59/mljar-supervised | 04a90ffbff33b2c93a7c212825b987e73b7f62fe | [
"MIT"
] | null | null | null | setup.py | DanielR59/mljar-supervised | 04a90ffbff33b2c93a7c212825b987e73b7f62fe | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, "README.md"), encoding="utf-8") as f:
long_description = f.read()
setup(
name="mljar-supervised",
v... | 30.35 | 81 | 0.644152 | from setuptools import setup, find_packages
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
with open(path.join(here, "README.md"), encoding="utf-8") as f:
long_description = f.read()
setup(
name="mljar-supervised",
version="0.11.2",
description="Automated Mac... | true | true |
1c479d38ba2d385729e4a2e779104cd41110084d | 1,146 | py | Python | tekstovni_vmesnik.py | kavcicm/Vislice | 04c3c09bad456321ee9da04c6af8deaeaa509842 | [
"MIT"
] | null | null | null | tekstovni_vmesnik.py | kavcicm/Vislice | 04c3c09bad456321ee9da04c6af8deaeaa509842 | [
"MIT"
] | null | null | null | tekstovni_vmesnik.py | kavcicm/Vislice | 04c3c09bad456321ee9da04c6af8deaeaa509842 | [
"MIT"
] | null | null | null | import model
lojtrice = "#############################\n"
def izpis_zmage(igra):
tekst = lojtrice + "Uganili ste geslo {0}.\n".format(igra.geslo)
return tekst
def izpis_poraza(igra):
tekst = lojtrice + "Obešeni ste! Pravilno geslo je blio {0}.\n".format(igra.geslo)
return tekst
def izpis_igre(igra):
... | 26.651163 | 86 | 0.579407 | import model
lojtrice = "#############################\n"
def izpis_zmage(igra):
tekst = lojtrice + "Uganili ste geslo {0}.\n".format(igra.geslo)
return tekst
def izpis_poraza(igra):
tekst = lojtrice + "Obešeni ste! Pravilno geslo je blio {0}.\n".format(igra.geslo)
return tekst
def izpis_igre(igra):
... | true | true |
1c479e4d6b65a786785934f82983844d7a1b5553 | 443 | py | Python | run_blast.py | denkovarik/EC-Scrape | e6340fe852b204f4813ec6ede4d20138a85644b6 | [
"MIT"
] | null | null | null | run_blast.py | denkovarik/EC-Scrape | e6340fe852b204f4813ec6ede4d20138a85644b6 | [
"MIT"
] | null | null | null | run_blast.py | denkovarik/EC-Scrape | e6340fe852b204f4813ec6ede4d20138a85644b6 | [
"MIT"
] | null | null | null | import sys, os, time
from utils import *
import shutil
from run_blast_utils import *
blast_rslt_dir = 'blast_rslts\\'
blast_working_dir = 'temp_blast\\'
commands = []
args = parse_args(sys.argv)
# Compile command line arguments
commands = compile_cmd(args, blast_rslt_dir, blast_working_dir)
start_time = t... | 24.611111 | 63 | 0.740406 | import sys, os, time
from utils import *
import shutil
from run_blast_utils import *
blast_rslt_dir = 'blast_rslts\\'
blast_working_dir = 'temp_blast\\'
commands = []
args = parse_args(sys.argv)
commands = compile_cmd(args, blast_rslt_dir, blast_working_dir)
start_time = time.time()
exec_commands(command... | true | true |
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