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class | is_sharp_comment_removed bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1c2df59b3624e83309ba6fde19949ccfe728cf89 | 689 | py | Python | Scripts/django-admin.py | narsimrao/django_project | 8bd6b3db69505bfc7c78de9e58058efe76505485 | [
"bzip2-1.0.6"
] | null | null | null | Scripts/django-admin.py | narsimrao/django_project | 8bd6b3db69505bfc7c78de9e58058efe76505485 | [
"bzip2-1.0.6"
] | null | null | null | Scripts/django-admin.py | narsimrao/django_project | 8bd6b3db69505bfc7c78de9e58058efe76505485 | [
"bzip2-1.0.6"
] | null | null | null | #!e:\django_projects\django_project\scripts\python.exe
# When the django-admin.py deprecation ends, remove this script.
import warnings
from django.core import management
try:
from django.utils.deprecation import RemovedInDjango40Warning
except ImportError:
raise ImportError(
'django-admin.py was depr... | 31.318182 | 80 | 0.730044 |
import warnings
from django.core import management
try:
from django.utils.deprecation import RemovedInDjango40Warning
except ImportError:
raise ImportError(
'django-admin.py was deprecated in Django 3.1 and removed in Django '
'4.0. Please manually remove this script from your virtual enviro... | true | true |
1c2df61a7417955bda87d8d71d299b279e8a2f26 | 1,103 | py | Python | utils/sputa.py | piger/dulbecco | 8d0c1a62d64214f1962077385216f09866767720 | [
"BSD-2-Clause"
] | null | null | null | utils/sputa.py | piger/dulbecco | 8d0c1a62d64214f1962077385216f09866767720 | [
"BSD-2-Clause"
] | null | null | null | utils/sputa.py | piger/dulbecco | 8d0c1a62d64214f1962077385216f09866767720 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import cPickle as pickle
import shutil
import os
import json
import sys
class PersistentDict(dict):
def __init__(self, filename, *args, **kwargs):
self.filename = filename
dict.__init__(self, *args, **kwargs)
def save(self):
tmpfile = self... | 23.978261 | 53 | 0.55757 |
import cPickle as pickle
import shutil
import os
import json
import sys
class PersistentDict(dict):
def __init__(self, filename, *args, **kwargs):
self.filename = filename
dict.__init__(self, *args, **kwargs)
def save(self):
tmpfile = self.filename + ".tmp"
try:
... | true | true |
1c2df64db076a8bba366965c59793e8dbaeb6a13 | 882 | py | Python | esmvalcore/cmor/_fixes/cmip5/fgoals_g2.py | jvegreg/ESMValCore | 03eb1c942bf1dc3be98cb30c3592b42e82a94f16 | [
"Apache-2.0"
] | null | null | null | esmvalcore/cmor/_fixes/cmip5/fgoals_g2.py | jvegreg/ESMValCore | 03eb1c942bf1dc3be98cb30c3592b42e82a94f16 | [
"Apache-2.0"
] | 2 | 2022-03-02T16:16:06.000Z | 2022-03-10T12:58:49.000Z | esmvalcore/cmor/_fixes/cmip5/fgoals_g2.py | valeriupredoi/ESMValCore | b46b948c47d8579d997b28501f8588f5531aa354 | [
"Apache-2.0"
] | null | null | null | """Fixes for FGOALS-g2 model."""
import iris
from cf_units import Unit
from ..fix import Fix
from ..shared import round_coordinates
class AllVars(Fix):
"""Fixes for all variables."""
def fix_metadata(self, cubes):
"""Fix metadata.
Fix time coordinate and round other coordinates to fix issue... | 22.615385 | 73 | 0.568027 | import iris
from cf_units import Unit
from ..fix import Fix
from ..shared import round_coordinates
class AllVars(Fix):
def fix_metadata(self, cubes):
for cube in cubes:
try:
time = cube.coord('time')
except iris.exceptions.CoordinateNotFoundError:
... | true | true |
1c2df64e53bd14b34a66a8f182d65708eb56769f | 195 | py | Python | BAEKJOON/Python/10773.py | cmsong111/NJ_code | 2df6176d179e168a2789a825ddeb977a82eb8d97 | [
"MIT"
] | null | null | null | BAEKJOON/Python/10773.py | cmsong111/NJ_code | 2df6176d179e168a2789a825ddeb977a82eb8d97 | [
"MIT"
] | null | null | null | BAEKJOON/Python/10773.py | cmsong111/NJ_code | 2df6176d179e168a2789a825ddeb977a82eb8d97 | [
"MIT"
] | null | null | null | result = []
for i in range(int(input())):
temp = int(input())
if temp == 0:
if len(result) != 0:
result.pop()
else:
result.append(temp)
print(sum(result)) | 19.5 | 29 | 0.507692 | result = []
for i in range(int(input())):
temp = int(input())
if temp == 0:
if len(result) != 0:
result.pop()
else:
result.append(temp)
print(sum(result)) | true | true |
1c2df69976a1483f6eb5b5dc7775f32a86fd296a | 313 | py | Python | packages/pycopy/v2.11.0.1/esp8266/stubs/uselect.py | TheVinhLuong102/micropy-stubs | 55ff1773008f7c4dfc3d70a403986486226eb6b3 | [
"MIT"
] | 18 | 2019-07-11T13:31:09.000Z | 2022-01-27T06:38:40.000Z | packages/pycopy/v2.11.0.1/esp8266/stubs/uselect.py | TheVinhLuong102/micropy-stubs | 55ff1773008f7c4dfc3d70a403986486226eb6b3 | [
"MIT"
] | 9 | 2019-09-01T21:44:49.000Z | 2022-02-04T20:55:08.000Z | packages/pycopy/v2.11.0.1/esp8266/stubs/uselect.py | TheVinhLuong102/micropy-stubs | 55ff1773008f7c4dfc3d70a403986486226eb6b3 | [
"MIT"
] | 6 | 2019-10-08T05:31:21.000Z | 2021-04-22T10:21:01.000Z | """
Module: 'uselect' on esp8266 v2.11.0.1 on 2019
"""
# MCU: (sysname='esp8266', nodename='esp8266', release='2.2.0-dev(9422289)', version='v2.11.0.1 on 2019-07-26', machine='ESP module with ESP8266')
# Stubber: 1.2.0
POLLERR = 8
POLLHUP = 16
POLLIN = 1
POLLOUT = 4
def poll():
pass
def select():
pass
| 19.5625 | 146 | 0.645367 |
POLLERR = 8
POLLHUP = 16
POLLIN = 1
POLLOUT = 4
def poll():
pass
def select():
pass
| true | true |
1c2df8007af113fc464b9a79dc28207ab10a761d | 227 | py | Python | image-processing-package/image-processing-my-package/utils/io.py | isabellazramos/criacao-de-pacotes-em-python | 6ee97f1365813832bd530f0df6e2159c5b2cb06d | [
"MIT"
] | null | null | null | image-processing-package/image-processing-my-package/utils/io.py | isabellazramos/criacao-de-pacotes-em-python | 6ee97f1365813832bd530f0df6e2159c5b2cb06d | [
"MIT"
] | null | null | null | image-processing-package/image-processing-my-package/utils/io.py | isabellazramos/criacao-de-pacotes-em-python | 6ee97f1365813832bd530f0df6e2159c5b2cb06d | [
"MIT"
] | 2 | 2022-03-21T20:15:46.000Z | 2022-03-31T14:50:43.000Z | #Author: Karina Tiemi Kato
from skimage.io import inread, insave
def read_image(path, is_gray = False):
image = inread(path, as_gray = is_gray)
return image
def save_image(image, path):
insave(path, image) | 25.222222 | 44 | 0.696035 |
from skimage.io import inread, insave
def read_image(path, is_gray = False):
image = inread(path, as_gray = is_gray)
return image
def save_image(image, path):
insave(path, image) | true | true |
1c2df8a4ae9fd16c06a3de5c0f9723cea7c360e8 | 7,052 | py | Python | flloat/flloat.py | marcofavorito/flloat | 75e8ec9219763eba5feb362438604693b6cc7346 | [
"Apache-2.0"
] | 3 | 2019-07-14T21:15:26.000Z | 2019-12-12T21:51:35.000Z | flloat/flloat.py | MarcoFavorito/flloat | 75e8ec9219763eba5feb362438604693b6cc7346 | [
"MIT"
] | 1 | 2019-09-03T16:35:59.000Z | 2019-09-03T16:35:59.000Z | flloat/flloat.py | MarcoFavorito/flloat | 75e8ec9219763eba5feb362438604693b6cc7346 | [
"MIT"
] | 1 | 2019-08-30T18:15:02.000Z | 2019-08-30T18:15:02.000Z | # -*- coding: utf-8 -*-
"""Main module of the pakage."""
from typing import Set, FrozenSet, Dict, cast, List
import sympy
from pythomata import SymbolicAutomaton, PropositionalInterpretation
from pythomata.impl.symbolic import SymbolicDFA
from sympy.logic.boolalg import BooleanFalse
from flloat.base import Formula
... | 32.497696 | 87 | 0.617413 |
from typing import Set, FrozenSet, Dict, cast, List
import sympy
from pythomata import SymbolicAutomaton, PropositionalInterpretation
from pythomata.impl.symbolic import SymbolicDFA
from sympy.logic.boolalg import BooleanFalse
from flloat.base import Formula
from flloat.delta import Delta
from flloat.helpers impor... | true | true |
1c2df8d4702fe1cbbe53da69f75b40db9ac2ed4c | 2,100 | py | Python | lib/bes/fs/file_metadata.py | reconstruir/bes | 82ff54b2dadcaef6849d7de424787f1dedace85c | [
"Apache-2.0"
] | null | null | null | lib/bes/fs/file_metadata.py | reconstruir/bes | 82ff54b2dadcaef6849d7de424787f1dedace85c | [
"Apache-2.0"
] | null | null | null | lib/bes/fs/file_metadata.py | reconstruir/bes | 82ff54b2dadcaef6849d7de424787f1dedace85c | [
"Apache-2.0"
] | null | null | null | #-*- coding:utf-8; mode:python; indent-tabs-mode: nil; c-basic-offset: 2; tab-width: 2 -*-
import os
import os.path as path
from bes.common.check import check
from bes.sqlite.sqlite import sqlite
from bes.fs.file_util import file_util
from .detail.file_metadata_db import file_metadata_db
class file_metadata(object):... | 33.333333 | 96 | 0.741429 |
import os
import os.path as path
from bes.common.check import check
from bes.sqlite.sqlite import sqlite
from bes.fs.file_util import file_util
from .detail.file_metadata_db import file_metadata_db
class file_metadata(object):
DEFAULT_DB_FILENAME = '.bes_file_metadata.db'
def __init__(self, root_dir, db_fil... | true | true |
1c2df8d6876849a9a0dc4d55bdff271a4397f835 | 4,006 | py | Python | app_data2.py | rongqingpin/iOS_app_data | c9beecfb3878f64568b1d9626412ba6b346934cd | [
"MIT"
] | null | null | null | app_data2.py | rongqingpin/iOS_app_data | c9beecfb3878f64568b1d9626412ba6b346934cd | [
"MIT"
] | null | null | null | app_data2.py | rongqingpin/iOS_app_data | c9beecfb3878f64568b1d9626412ba6b346934cd | [
"MIT"
] | null | null | null | import pandas as pd
import csv
import json
import re
# load the category IDs
flc = '/Users/pinqingkan/Desktop/Codes/Project_iTunes/'
#flc = '/Users/Melanie/Library/Mobile Documents/com~apple~CloudDocs/Desktop/Codes/Project_iTunes/'
fname = flc + 'IDs/iosapp_categories.csv'
X0 = pd.read_csv(fname)
# remove repetitive o... | 38.152381 | 117 | 0.507239 | import pandas as pd
import csv
import json
import re
flc = '/Users/pinqingkan/Desktop/Codes/Project_iTunes/'
fname = flc + 'IDs/iosapp_categories.csv'
X0 = pd.read_csv(fname)
X0 = X0.drop(labels = [7, 28, 67], axis = 0)
Ncatg, N = X0.shape
app_keys = ['trackId',
'artistId',
'artistViewUrl... | true | true |
1c2df98873fe0c0b722513464ffa00ef6d1ec3c8 | 9,758 | py | Python | userbot/plugins/pmpermit_menu.py | midhunkm1294-bit/TeleBot | b4309fb662e834d9d3826172b69fd07d42ef83a2 | [
"MIT"
] | null | null | null | userbot/plugins/pmpermit_menu.py | midhunkm1294-bit/TeleBot | b4309fb662e834d9d3826172b69fd07d42ef83a2 | [
"MIT"
] | null | null | null | userbot/plugins/pmpermit_menu.py | midhunkm1294-bit/TeleBot | b4309fb662e834d9d3826172b69fd07d42ef83a2 | [
"MIT"
] | null | null | null | # if you change credits, you get anal cancer and get murdered by russians in 3 days.
"""
Support chatbox for pmpermit.
Used by incoming messages with trigger as /start
Will not work for already approved people.
Credits: written by TONY STARK {@MARIODEVS}
"""
import asyncio
import io
import telethon.sync
from telethon.... | 58.431138 | 441 | 0.563435 |
import asyncio
import io
import telethon.sync
from telethon.tl.functions.users import GetFullUserRequest
import userbot.plugins.sql_helper.pmpermit_sql as pmpermit_sql
from telethon import events, errors, functions, types
from userbot import ALIVE_NAME, LESS_SPAMMY
from userbot.utils import admin_cmd
DEFAULTUSER = ... | true | true |
1c2df992be4a199d35b73f2d802812983d8cdbe0 | 332 | py | Python | nltk/test/inference_fixt.py | smoitra87/nltk | ca357e5cdcdb137f40c45346bb8bfea618dd863f | [
"Apache-2.0"
] | 1 | 2020-07-08T11:26:30.000Z | 2020-07-08T11:26:30.000Z | nltk/test/inference_fixt.py | smoitra87/nltk | ca357e5cdcdb137f40c45346bb8bfea618dd863f | [
"Apache-2.0"
] | null | null | null | nltk/test/inference_fixt.py | smoitra87/nltk | ca357e5cdcdb137f40c45346bb8bfea618dd863f | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
def setup_module(module):
from nose import SkipTest
from nltk.inference.mace import Mace
try:
m = Mace()
m._find_binary("mace4")
except LookupError as e:
raise SkipTest(
"Mace4/Prover9 is not available so inference.doctest was skipped"
... | 22.133333 | 77 | 0.608434 |
def setup_module(module):
from nose import SkipTest
from nltk.inference.mace import Mace
try:
m = Mace()
m._find_binary("mace4")
except LookupError as e:
raise SkipTest(
"Mace4/Prover9 is not available so inference.doctest was skipped"
) from e
| true | true |
1c2dfb973cecc953979c917b147c635120afc5ab | 6,710 | py | Python | pyEX/stocks/batch.py | cjwang/pyEX | 1b5f40f80110afaa4809ea48fac067033c7bdf89 | [
"Apache-2.0"
] | 1 | 2020-10-11T07:05:49.000Z | 2020-10-11T07:05:49.000Z | pyEX/stocks/batch.py | cjwang/pyEX | 1b5f40f80110afaa4809ea48fac067033c7bdf89 | [
"Apache-2.0"
] | null | null | null | pyEX/stocks/batch.py | cjwang/pyEX | 1b5f40f80110afaa4809ea48fac067033c7bdf89 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import itertools
import pandas as pd
from multiprocessing.pool import ThreadPool
from ..common import _TIMEFRAME_CHART, _getJson, _raiseIfNotStr, PyEXception, _strOrDate, _toDatetime, _BATCH_TYPES
from .fundamentals import _dividendsToDF, _earningsToDF, _financialsToDF, _splitsToDF
from .news im... | 31.209302 | 127 | 0.619821 |
import itertools
import pandas as pd
from multiprocessing.pool import ThreadPool
from ..common import _TIMEFRAME_CHART, _getJson, _raiseIfNotStr, PyEXception, _strOrDate, _toDatetime, _BATCH_TYPES
from .fundamentals import _dividendsToDF, _earningsToDF, _financialsToDF, _splitsToDF
from .news import _newsToDF
from .pr... | true | true |
1c2dfce3b790c8a524ac769021eb8e657cc7add7 | 3,816 | py | Python | UnityPy/math/Vector3.py | hydrargyrum/UnityPy | d119f5a27fa56270630ff40d7762cdf9b4abbac3 | [
"MIT"
] | null | null | null | UnityPy/math/Vector3.py | hydrargyrum/UnityPy | d119f5a27fa56270630ff40d7762cdf9b4abbac3 | [
"MIT"
] | null | null | null | UnityPy/math/Vector3.py | hydrargyrum/UnityPy | d119f5a27fa56270630ff40d7762cdf9b4abbac3 | [
"MIT"
] | null | null | null | class Vector3:
def __init__(self, x : float, y : float, z : float):
self.X = x
self.Y = y
self.Z = z
"""
using System;
using System.Runtime.InteropServices;
namespace AssetStudio
{
[StructLayout(LayoutKind.Sequential, Pack = 4)]
public struct Vector3 : IEquatable<Vector3>
{
public float X;
... | 24.941176 | 108 | 0.446803 | class Vector3:
def __init__(self, x : float, y : float, z : float):
self.X = x
self.Y = y
self.Z = z
| true | true |
1c2dfd57a1efc1a0c1debe4d4a7acaa87383ef5d | 61 | py | Python | auth_main/__init__.py | ajskrilla/PAS_pw_check | 056b09e2975b7e1d00c81180d4bdd71bfac91b4d | [
"Apache-2.0"
] | null | null | null | auth_main/__init__.py | ajskrilla/PAS_pw_check | 056b09e2975b7e1d00c81180d4bdd71bfac91b4d | [
"Apache-2.0"
] | null | null | null | auth_main/__init__.py | ajskrilla/PAS_pw_check | 056b09e2975b7e1d00c81180d4bdd71bfac91b4d | [
"Apache-2.0"
] | null | null | null | #from auth import saveConfig
#from auth_check import sec_test | 30.5 | 32 | 0.852459 | true | true | |
1c2dfe22798ba84d8d56669e7d65e0ff7e5d5fff | 38,583 | py | Python | graph_ZSL_w_argmin.py | kfirsalo/New-Graph-ZSL | 76ccd15e65e915858dca9d9097ddf9252e4250d3 | [
"MIT"
] | null | null | null | graph_ZSL_w_argmin.py | kfirsalo/New-Graph-ZSL | 76ccd15e65e915858dca9d9097ddf9252e4250d3 | [
"MIT"
] | null | null | null | graph_ZSL_w_argmin.py | kfirsalo/New-Graph-ZSL | 76ccd15e65e915858dca9d9097ddf9252e4250d3 | [
"MIT"
] | null | null | null | import json
import multiprocessing
from datetime import datetime
from node2vec import Node2Vec
import pandas as pd
import numpy as np
import networkx as nx
import pickle
import os
import argparse
from numpy import linalg as la
from sklearn.metrics.pairwise import cosine_similarity
from sklearn import model_selection a... | 46.995128 | 165 | 0.61509 | import json
import multiprocessing
from datetime import datetime
from node2vec import Node2Vec
import pandas as pd
import numpy as np
import networkx as nx
import pickle
import os
import argparse
from numpy import linalg as la
from sklearn.metrics.pairwise import cosine_similarity
from sklearn import model_selection a... | true | true |
1c2dfe42c5f11130ad1de80135a4af445e0dabd3 | 927 | py | Python | overwatch/database/zodbDatabaseFactory.py | ostr00000/OVERWATCH | ebf69402b9b1b9e3b92cb96f013692072c2c69f2 | [
"BSD-3-Clause"
] | null | null | null | overwatch/database/zodbDatabaseFactory.py | ostr00000/OVERWATCH | ebf69402b9b1b9e3b92cb96f013692072c2c69f2 | [
"BSD-3-Clause"
] | null | null | null | overwatch/database/zodbDatabaseFactory.py | ostr00000/OVERWATCH | ebf69402b9b1b9e3b92cb96f013692072c2c69f2 | [
"BSD-3-Clause"
] | null | null | null | """
.. code-author: Mateusz Piwowarczyk <>, AGH University of Science and Technology
"""
import zodburi
import ZODB
from overwatch.database.databaseFactory import DatabaseFactory
from overwatch.database.zodbDatabase import ZodbDatabase
class ZodbDatabaseFactory(DatabaseFactory):
def __init__(self, databaseLocati... | 34.333333 | 88 | 0.713053 | import zodburi
import ZODB
from overwatch.database.databaseFactory import DatabaseFactory
from overwatch.database.zodbDatabase import ZodbDatabase
class ZodbDatabaseFactory(DatabaseFactory):
def __init__(self, databaseLocation):
DatabaseFactory.__init__(self)
self.databaseLocation = databaseLocat... | true | true |
1c2dfee0ea5f54665c78d07cdd3c70525819729b | 512 | py | Python | src/appointments_has_payment/models.py | TheCleverlaure/sicco-web | 8e734c9bfa9c99056b6abd5276b65b1e4bf21e23 | [
"bzip2-1.0.6"
] | null | null | null | src/appointments_has_payment/models.py | TheCleverlaure/sicco-web | 8e734c9bfa9c99056b6abd5276b65b1e4bf21e23 | [
"bzip2-1.0.6"
] | null | null | null | src/appointments_has_payment/models.py | TheCleverlaure/sicco-web | 8e734c9bfa9c99056b6abd5276b65b1e4bf21e23 | [
"bzip2-1.0.6"
] | null | null | null | from django.db import models
from appointments.models import Citas
from payment.models import Pago
class CitaTienePago(models.Model):
cod_cita = models.ForeignKey(Citas, models.CASCADE, db_column='Cod_Cita', primary_key=True) # Field name made lowercase.
cod_pago = models.ForeignKey(Pago, models.CASCADE, db_c... | 39.384615 | 125 | 0.728516 | from django.db import models
from appointments.models import Citas
from payment.models import Pago
class CitaTienePago(models.Model):
cod_cita = models.ForeignKey(Citas, models.CASCADE, db_column='Cod_Cita', primary_key=True)
cod_pago = models.ForeignKey(Pago, models.CASCADE, db_column='Cod_Pago', unique=Tru... | true | true |
1c2dfef350f1f5adf949de096b36c9f0f279a120 | 2,696 | py | Python | addons/io_scene_swbf_msh/msh_model_triangle_strips.py | WHSnyder/SWBF-msh-Blender-Export | b56fa79a1967cdfc8c9b7928a2e5c2f7e940b289 | [
"Apache-2.0"
] | 7 | 2019-12-27T04:07:56.000Z | 2021-11-14T22:04:32.000Z | addons/io_scene_swbf_msh/msh_model_triangle_strips.py | WHSnyder/SWBF-msh-Blender-Export | b56fa79a1967cdfc8c9b7928a2e5c2f7e940b289 | [
"Apache-2.0"
] | null | null | null | addons/io_scene_swbf_msh/msh_model_triangle_strips.py | WHSnyder/SWBF-msh-Blender-Export | b56fa79a1967cdfc8c9b7928a2e5c2f7e940b289 | [
"Apache-2.0"
] | 3 | 2019-11-23T09:07:21.000Z | 2020-10-06T16:22:49.000Z | """ Contains triangle strip generation functions for GeometrySegment. """
from typing import List, Tuple
from copy import deepcopy
from .msh_model import *
def create_models_triangle_strips(models: List[Model]) -> List[Model]:
""" Create the triangle strips for a list of models geometry. """
for model in mod... | 32.878049 | 98 | 0.592359 |
from typing import List, Tuple
from copy import deepcopy
from .msh_model import *
def create_models_triangle_strips(models: List[Model]) -> List[Model]:
for model in models:
if model.geometry is not None:
for segment in model.geometry:
segment.triangle_strips = create_triangle... | true | true |
1c2e006454f1729f6cbb17222e43a1991f558056 | 852 | py | Python | ore_combinators/combinators/string.py | kraglik/ore | fca49bb8cd46bcdf3a6c8cde65cf6aed9a0bd741 | [
"MIT"
] | 1 | 2021-06-09T13:45:47.000Z | 2021-06-09T13:45:47.000Z | ore_combinators/combinators/string.py | kraglik/ore | fca49bb8cd46bcdf3a6c8cde65cf6aed9a0bd741 | [
"MIT"
] | null | null | null | ore_combinators/combinators/string.py | kraglik/ore | fca49bb8cd46bcdf3a6c8cde65cf6aed9a0bd741 | [
"MIT"
] | null | null | null | from typing import Tuple, Any
from ore_combinators.combinator import combinator
from ore_combinators.parser_state import ParserState
from ore_combinators.result import Result
from ore_combinators.error import ParserError, EndOfFileError
class string(combinator): # noqa
def __init__(self, s: str):
self.... | 29.37931 | 70 | 0.647887 | from typing import Tuple, Any
from ore_combinators.combinator import combinator
from ore_combinators.parser_state import ParserState
from ore_combinators.result import Result
from ore_combinators.error import ParserError, EndOfFileError
class string(combinator):
def __init__(self, s: str):
self._strin... | true | true |
1c2e015a72b7b341f0a82c3c4414419aa6b738bc | 9,328 | py | Python | healthyForce/MTLModels.py | HypnosPy/HypnosPy | 28b17d07ee78f7714bbbbd66f6253764addf9d94 | [
"MIT"
] | 4 | 2022-01-02T18:40:57.000Z | 2022-02-17T12:59:57.000Z | healthyForce/MTLModels.py | ippozuelo/HypnosPy | 28b17d07ee78f7714bbbbd66f6253764addf9d94 | [
"MIT"
] | 2 | 2020-11-11T07:13:56.000Z | 2020-11-11T07:38:54.000Z | healthyForce/MTLModels.py | ippozuelo/HypnosPy | 28b17d07ee78f7714bbbbd66f6253764addf9d94 | [
"MIT"
] | 2 | 2020-11-24T22:46:31.000Z | 2021-02-05T16:43:12.000Z | import torch
import torch.nn as nn
import torch.optim as optim
import numpy as np
class MTL:
def __init__(self):
pass
def aggregate_losses(self, losses):
pass
def adjust_after_validation(self, losses, epoch):
pass
class MTLRandom(MTL):
def __init__(self, ntasks, verbose=1):
... | 35.603053 | 113 | 0.547491 | import torch
import torch.nn as nn
import torch.optim as optim
import numpy as np
class MTL:
def __init__(self):
pass
def aggregate_losses(self, losses):
pass
def adjust_after_validation(self, losses, epoch):
pass
class MTLRandom(MTL):
def __init__(self, ntasks, verbose=1):
... | true | true |
1c2e015f2562f36b943e25339f4dc74362fc5ebc | 25,303 | py | Python | source/code/handlers/execution_handler.py | awslabs/aws-ops-automator | 362abd0717b48ecca7f20d8985ae7d76f045daf3 | [
"Apache-2.0"
] | 94 | 2017-08-01T05:28:45.000Z | 2021-09-10T07:18:46.000Z | source/code/handlers/execution_handler.py | aws-solutions/aws-ops-automator | 362abd0717b48ecca7f20d8985ae7d76f045daf3 | [
"Apache-2.0"
] | 27 | 2018-02-15T17:14:09.000Z | 2021-04-27T11:28:42.000Z | source/code/handlers/execution_handler.py | awslabs/aws-ops-automator | 362abd0717b48ecca7f20d8985ae7d76f045daf3 | [
"Apache-2.0"
] | 50 | 2017-08-01T05:29:04.000Z | 2021-08-11T20:09:07.000Z | ######################################################################################################################
# Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved. #
# ... | 50.50499 | 130 | 0.588152 | on_id=self.action_id,
task=self.task,
task_metrics=self.metrics,
status=handlers.STATUS_WAIT_FOR_COMPLETION,
status_data={
... | true | true |
1c2e01b39bd7c410b1525225e5bc812b3db81274 | 64,988 | py | Python | ansible_runner/interface.py | AlanCoding/ansible-runner | 4c6b7d0c15c62159f971522a23e4491487703472 | [
"Apache-2.0"
] | 1 | 2022-02-19T05:07:09.000Z | 2022-02-19T05:07:09.000Z | ansible_runner/interface.py | aknochow/ansible-runner | 996a00dd0cd449e129a693e53b73770a6de34e36 | [
"Apache-2.0"
] | null | null | null | ansible_runner/interface.py | aknochow/ansible-runner | 996a00dd0cd449e129a693e53b73770a6de34e36 | [
"Apache-2.0"
] | 1 | 2021-11-22T16:03:11.000Z | 2021-11-22T16:03:11.000Z | # Copyright (c) 2016 Ansible by Red Hat, Inc.
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache Licen... | 66.928939 | 159 | 0.719471 |
import os
import json
import sys
import threading
import logging
from ansible_runner import output
from ansible_runner.config.runner import RunnerConfig
from ansible_runner.config.command import CommandConfig
from ansible_runner.config.inventory import InventoryConfig
from ansible_runner.config.ansi... | true | true |
1c2e0224eddb941725f123b7e5a73c2869f807cd | 1,911 | py | Python | var/spack/repos/builtin/packages/libnotify/package.py | jeanbez/spack | f4e51ce8f366c85bf5aa0eafe078677b42dae1ba | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | null | null | null | var/spack/repos/builtin/packages/libnotify/package.py | jeanbez/spack | f4e51ce8f366c85bf5aa0eafe078677b42dae1ba | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 8 | 2021-11-09T20:28:40.000Z | 2022-03-15T03:26:33.000Z | var/spack/repos/builtin/packages/libnotify/package.py | jeanbez/spack | f4e51ce8f366c85bf5aa0eafe078677b42dae1ba | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2 | 2019-02-08T20:37:20.000Z | 2019-03-31T15:19:26.000Z | # Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack.package import *
class Libnotify(MesonPackage):
"""libnotify is a library for sending desktop notificatio... | 32.948276 | 95 | 0.632653 |
from spack.package import *
class Libnotify(MesonPackage):
homepage = "https://github.com/GNOME/libnotify"
url = "https://github.com/GNOME/libnotify/archive/0.7.9.tar.gz"
version('0.7.9', sha256='9bd4f5fa911d27567e7cc2d2d09d69356c16703c4e8d22c0b49a5c45651f3af0')
... | true | true |
1c2e0332d2980ce4a16bec4961c875df673783a2 | 1,624 | py | Python | HackerRank/Interview Preparation Kit/Dictionaries and Hashmaps/Hash Tables: Ransom Note/solution.py | ltdangkhoa/Computer-Science-Fundamental | b70ba714e1dd13fcb377125e047c5fc08d3a82b3 | [
"MIT"
] | null | null | null | HackerRank/Interview Preparation Kit/Dictionaries and Hashmaps/Hash Tables: Ransom Note/solution.py | ltdangkhoa/Computer-Science-Fundamental | b70ba714e1dd13fcb377125e047c5fc08d3a82b3 | [
"MIT"
] | null | null | null | HackerRank/Interview Preparation Kit/Dictionaries and Hashmaps/Hash Tables: Ransom Note/solution.py | ltdangkhoa/Computer-Science-Fundamental | b70ba714e1dd13fcb377125e047c5fc08d3a82b3 | [
"MIT"
] | null | null | null | """solution.py"""
import math
import os
import random
import re
import sys
import timeit
# from collections import Counter
def checkMagazine(magazine, note):
"""
O(nk)
To be improved: build a hash function to store keywords as numeric
Much more simpler with built-in Python: using collections Counter... | 25.375 | 73 | 0.595443 |
import math
import os
import random
import re
import sys
import timeit
def checkMagazine(magazine, note):
dict_magazine = {}
for word in magazine:
if not word in dict_magazine:
dict_magazine[word] = 1
else:
dict_magazine[word] += 1
can_repli... | true | true |
1c2e054ce3389cb1f00d39e8b788777118c75d52 | 793 | py | Python | test_data/files/paramatrized_test.py | aleksul/pytest-motor | 20dd246fce777f0e21d1d03244e494e818a3dd52 | [
"MIT"
] | 4 | 2021-07-10T15:21:01.000Z | 2021-07-17T12:11:06.000Z | test_data/files/paramatrized_test.py | aleksul/pytest-motor | 20dd246fce777f0e21d1d03244e494e818a3dd52 | [
"MIT"
] | 47 | 2021-07-12T13:59:19.000Z | 2022-01-31T20:49:03.000Z | test_data/files/paramatrized_test.py | aleksul/pytest-motor | 20dd246fce777f0e21d1d03244e494e818a3dd52 | [
"MIT"
] | 4 | 2021-07-13T19:38:47.000Z | 2021-07-17T13:14:46.000Z | """A test file with a paramatrized test."""
from typing import Any, Dict
import pytest
from motor.motor_asyncio import AsyncIOMotorClient, AsyncIOMotorCollection, AsyncIOMotorDatabase
@pytest.mark.asyncio
# yapf: disable
@pytest.mark.parametrize('document', [
({}),
({'foo': 'bar'}),
({'wibble': 'wobble'}... | 31.72 | 99 | 0.64691 | from typing import Any, Dict
import pytest
from motor.motor_asyncio import AsyncIOMotorClient, AsyncIOMotorCollection, AsyncIOMotorDatabase
@pytest.mark.asyncio
@pytest.mark.parametrize('document', [
({}),
({'foo': 'bar'}),
({'wibble': 'wobble'}),
])
async def test_with_parametrization(motor_client: As... | true | true |
1c2e0552fb92d2d6b2fe226d4ae42a3dcd9204c9 | 2,563 | py | Python | Chap 3/ElifWorkSheet.py | dwhickox/NCHS-Programming-1-Python-Programs | 96eba3826585a81a015740f59329c7a06afc9db7 | [
"MIT"
] | null | null | null | Chap 3/ElifWorkSheet.py | dwhickox/NCHS-Programming-1-Python-Programs | 96eba3826585a81a015740f59329c7a06afc9db7 | [
"MIT"
] | null | null | null | Chap 3/ElifWorkSheet.py | dwhickox/NCHS-Programming-1-Python-Programs | 96eba3826585a81a015740f59329c7a06afc9db7 | [
"MIT"
] | null | null | null | #David Hickox
# Question 1
car = input("What kind of car do you drive?")
if car.lower() == "toyota" or car.lower() == "honda":
msg = "you drive a fuel efficient car!"
else:
msg = "you ruin the enviroment"
print(msg)
# Question 2
name = input("What is your name?")
savings = float(input("What is your savi... | 29.45977 | 120 | 0.65119 |
car = input("What kind of car do you drive?")
if car.lower() == "toyota" or car.lower() == "honda":
msg = "you drive a fuel efficient car!"
else:
msg = "you ruin the enviroment"
print(msg)
name = input("What is your name?")
savings = float(input("What is your savings account balance?"))
checking = fl... | true | true |
1c2e059a45fc0fd56329ecec30a7e9b124c7c602 | 4,735 | py | Python | awward/settings.py | ruthjomo/Awwardsapp | 8e2a517e569f788f803219a143f2ae9e5dedab13 | [
"Unlicense",
"MIT"
] | null | null | null | awward/settings.py | ruthjomo/Awwardsapp | 8e2a517e569f788f803219a143f2ae9e5dedab13 | [
"Unlicense",
"MIT"
] | null | null | null | awward/settings.py | ruthjomo/Awwardsapp | 8e2a517e569f788f803219a143f2ae9e5dedab13 | [
"Unlicense",
"MIT"
] | null | null | null | """
Django settings for awward project.
Generated by 'django-admin startproject' using Django 1.11.29.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.11/ref/settings/
"""
from path... | 25.456989 | 91 | 0.690602 |
from pathlib import Path
import os
import django_heroku
import dj_database_url
from decouple import config,Csv
EMAIL_USE_TLS = config('EMAIL_USE_TLS')
EMAIL_HOST = config('EMAIL_HOST')
EMAIL_PORT = config('EMAIL_PORT')
EMAIL_HOST_USER = config('EMAIL_HOST_USER')
EMAIL_HOST_PASSWORD = config('EMAIL_HOST_PASSWORD')
M... | true | true |
1c2e063141aeb825b131ec6f67df244c6f55158a | 878 | py | Python | openpyxl/chart/tests/test_updown_bars.py | nickpell/openpyxl | 160c730c419f3796d2208b05c3b26a2b2fc10eb1 | [
"MIT"
] | 6 | 2018-05-15T05:08:52.000Z | 2021-12-23T12:31:28.000Z | openpyxl/chart/tests/test_updown_bars.py | nickpell/openpyxl | 160c730c419f3796d2208b05c3b26a2b2fc10eb1 | [
"MIT"
] | 1 | 2019-08-27T15:27:48.000Z | 2019-08-27T15:27:48.000Z | openpyxl/chart/tests/test_updown_bars.py | nickpell/openpyxl | 160c730c419f3796d2208b05c3b26a2b2fc10eb1 | [
"MIT"
] | 6 | 2020-03-23T15:59:14.000Z | 2021-09-18T09:54:57.000Z | from __future__ import absolute_import
# Copyright (c) 2010-2018 openpyxl
import pytest
from openpyxl.xml.functions import fromstring, tostring
from openpyxl.tests.helper import compare_xml
@pytest.fixture
def UpDownBars():
from ..updown_bars import UpDownBars
return UpDownBars
class TestUpDownBars:
d... | 23.105263 | 55 | 0.624146 | from __future__ import absolute_import
import pytest
from openpyxl.xml.functions import fromstring, tostring
from openpyxl.tests.helper import compare_xml
@pytest.fixture
def UpDownBars():
from ..updown_bars import UpDownBars
return UpDownBars
class TestUpDownBars:
def test_ctor(self, UpDownBars):
... | true | true |
1c2e06e968e9443337111c075182e95447ba19e6 | 937 | py | Python | BB/bbObjects/items/modules/bbJumpDriveModule.py | mwaitzman/GOF2BountyBot | b66026228b752b07ac4734ca74b60730dbd74995 | [
"MIT"
] | null | null | null | BB/bbObjects/items/modules/bbJumpDriveModule.py | mwaitzman/GOF2BountyBot | b66026228b752b07ac4734ca74b60730dbd74995 | [
"MIT"
] | null | null | null | BB/bbObjects/items/modules/bbJumpDriveModule.py | mwaitzman/GOF2BountyBot | b66026228b752b07ac4734ca74b60730dbd74995 | [
"MIT"
] | null | null | null | from . import bbModule
from ....bbConfig import bbData
class bbJumpDriveModule(bbModule.bbModule):
def __init__(self, name, aliases, value=0, wiki="", manufacturer="", icon="", emoji=""):
super(bbJumpDriveModule, self).__init__(name, aliases, value=value, wiki=wiki, manufacturer=manufacturer, icon=icon, em... | 52.055556 | 180 | 0.66809 | from . import bbModule
from ....bbConfig import bbData
class bbJumpDriveModule(bbModule.bbModule):
def __init__(self, name, aliases, value=0, wiki="", manufacturer="", icon="", emoji=""):
super(bbJumpDriveModule, self).__init__(name, aliases, value=value, wiki=wiki, manufacturer=manufacturer, icon=icon, em... | true | true |
1c2e06eb67387083caca4750c1afe4c37eb06687 | 3,053 | py | Python | python/classes-dealing-with-complex-numbers.py | blog-a1/hackeRRank | 72923ee08c8759bd5a10ba6c390b6755fe2bd2e2 | [
"MIT"
] | 1 | 2021-01-13T11:52:27.000Z | 2021-01-13T11:52:27.000Z | python/classes-dealing-with-complex-numbers.py | blog-a1/hackeRRank | 72923ee08c8759bd5a10ba6c390b6755fe2bd2e2 | [
"MIT"
] | null | null | null | python/classes-dealing-with-complex-numbers.py | blog-a1/hackeRRank | 72923ee08c8759bd5a10ba6c390b6755fe2bd2e2 | [
"MIT"
] | null | null | null |
from math import pow
class Complex(object):
def __init__(self, real, imaginary):
self.real=real
self.imaginary=imaginary
def __add__(self, no):
a=self.real+no.real
b=self.imaginary+no.imaginary
if a<0 and b<0:
return ("-%.2f-%.2fi"%(abs(a),abs(b)))
... | 34.303371 | 70 | 0.457255 |
from math import pow
class Complex(object):
def __init__(self, real, imaginary):
self.real=real
self.imaginary=imaginary
def __add__(self, no):
a=self.real+no.real
b=self.imaginary+no.imaginary
if a<0 and b<0:
return ("-%.2f-%.2fi"%(abs(a),abs(b)))
... | true | true |
1c2e089afd686ced49da2f85d95f318c20c156ee | 2,283 | py | Python | setup.py | powellc/hacklabs | c39f05cb9ea37e98260369c09a618e7870c61f3d | [
"BSD-3-Clause"
] | null | null | null | setup.py | powellc/hacklabs | c39f05cb9ea37e98260369c09a618e7870c61f3d | [
"BSD-3-Clause"
] | 9 | 2018-02-23T13:32:33.000Z | 2018-02-23T13:32:34.000Z | setup.py | powellc/hacklabs | c39f05cb9ea37e98260369c09a618e7870c61f3d | [
"BSD-3-Clause"
] | null | null | null | from setuptools import setup, find_packages
from setuptools.command.test import test as TestCommand
import sys
version = __import__('hacklabs').__version__
install_requires = [
'setuptools',
'Django==1.6.5',
'django-configurations==0.8',
'dj-database-url==0.3.0',
'pylibmc==1.3.0',
'boto==2.9.5... | 26.858824 | 59 | 0.599212 | from setuptools import setup, find_packages
from setuptools.command.test import test as TestCommand
import sys
version = __import__('hacklabs').__version__
install_requires = [
'setuptools',
'Django==1.6.5',
'django-configurations==0.8',
'dj-database-url==0.3.0',
'pylibmc==1.3.0',
'boto==2.9.5... | true | true |
1c2e09fc76e4f17fe7097352772c5c54fd08d6fd | 5,351 | py | Python | deepspeech/frontend/augmentor/spec_augment.py | iclementine/DeepSpeech | d0635c6592a2e787ca296e15241e7371a83ca55f | [
"Apache-2.0"
] | 1 | 2021-05-14T23:27:13.000Z | 2021-05-14T23:27:13.000Z | deepspeech/frontend/augmentor/spec_augment.py | xihuanafeng/DeepSpeech | 2bdf4c946af66cc173d638c072ba6435cd18a286 | [
"Apache-2.0"
] | null | null | null | deepspeech/frontend/augmentor/spec_augment.py | xihuanafeng/DeepSpeech | 2bdf4c946af66cc173d638c072ba6435cd18a286 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2021 PaddlePaddle 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 appli... | 31.292398 | 87 | 0.58419 |
import numpy as np
from deepspeech.frontend.augmentor.base import AugmentorBase
from deepspeech.utils.log import Log
logger = Log(__name__).getlog()
class SpecAugmentor(AugmentorBase):
def __init__(self,
rng,
F,
T,
n_freq_masks,
... | true | true |
1c2e0a9cb74826110c9ce4eea4b5787e91935848 | 6,608 | py | Python | test/functional/wallet_txn_clone.py | HZapperz/JahCoin | 94f0e3f60a0846bc331f334ccab0642913b9b0bd | [
"MIT"
] | 13 | 2019-01-23T04:36:05.000Z | 2022-02-21T11:20:25.000Z | test/functional/wallet_txn_clone.py | songMW/bitcoin | 5eb32d23841bbcd8eaf7ba49dc4ddfd822bd4773 | [
"MIT"
] | null | null | null | test/functional/wallet_txn_clone.py | songMW/bitcoin | 5eb32d23841bbcd8eaf7ba49dc4ddfd822bd4773 | [
"MIT"
] | 3 | 2019-01-24T07:48:15.000Z | 2021-06-11T13:34:44.000Z | #!/usr/bin/env python3
# Copyright (c) 2014-2018 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test the wallet accounts properly when there are cloned transactions with malleated scriptsigs."""
fro... | 44.053333 | 160 | 0.641344 |
from test_framework.test_framework import BitcoinTestFramework
from test_framework.util import (
assert_equal,
connect_nodes,
disconnect_nodes,
sync_blocks,
)
class TxnMallTest(BitcoinTestFramework):
def set_test_params(self):
self.num_nodes = 4
def skip_test_if_missing_module(sel... | true | true |
1c2e0ad3f936ed49b51ecbdc1a3f4c027568e304 | 34 | py | Python | services/users/app/api/utils/__init__.py | yuuta1999/microservice-with-flask | 6ad64341edb42c7f145aabc1e38e2619df75d444 | [
"MIT"
] | 1 | 2019-07-12T07:38:16.000Z | 2019-07-12T07:38:16.000Z | services/users/app/api/utils/__init__.py | yuuta1999/microservice-with-flask | 6ad64341edb42c7f145aabc1e38e2619df75d444 | [
"MIT"
] | 4 | 2021-03-09T09:19:49.000Z | 2022-02-26T12:14:12.000Z | services/users/app/api/utils/__init__.py | yuuta1999/microservice-with-flask | 6ad64341edb42c7f145aabc1e38e2619df75d444 | [
"MIT"
] | 1 | 2020-03-31T17:36:11.000Z | 2020-03-31T17:36:11.000Z | # users/app/api/utils/__init__.py
| 17 | 33 | 0.764706 | true | true | |
1c2e0b07893a87a3f953d0af53e08c131465a2dd | 25,200 | py | Python | AICamera/app/src/main/cpp/caffe2/python/layer_model_helper.py | blackxer/AICamera | 4f0a6a09a2288da2ec7140744b5c2862df114c78 | [
"MIT"
] | 1 | 2020-01-10T02:56:03.000Z | 2020-01-10T02:56:03.000Z | AICamera/app/src/main/cpp/caffe2/python/layer_model_helper.py | blackxer/AICamera | 4f0a6a09a2288da2ec7140744b5c2862df114c78 | [
"MIT"
] | null | null | null | AICamera/app/src/main/cpp/caffe2/python/layer_model_helper.py | blackxer/AICamera | 4f0a6a09a2288da2ec7140744b5c2862df114c78 | [
"MIT"
] | null | null | null | # @package layer_model_helper
# Module caffe2.python.layer_model_helper
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, model_helper, schema, scope, utils, muji
from caffe2.pytho... | 38.124054 | 88 | 0.598849 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, model_helper, schema, scope, utils, muji
from caffe2.python.modeling.parameter_info import (
ParameterInfo,
)
from caffe2.p... | true | true |
1c2e0b78f96a8e24dcf04517c311fe46e9e442c9 | 486 | py | Python | sdk/datafactory/azure-mgmt-datafactory/azure/mgmt/datafactory/_version.py | kazrael2119/azure-sdk-for-python | 485dd7b1b5ac41c1a5b9991e402b4035b55f437a | [
"MIT"
] | 1 | 2022-02-18T01:17:27.000Z | 2022-02-18T01:17:27.000Z | sdk/datafactory/azure-mgmt-datafactory/azure/mgmt/datafactory/_version.py | kazrael2119/azure-sdk-for-python | 485dd7b1b5ac41c1a5b9991e402b4035b55f437a | [
"MIT"
] | null | null | null | sdk/datafactory/azure-mgmt-datafactory/azure/mgmt/datafactory/_version.py | kazrael2119/azure-sdk-for-python | 485dd7b1b5ac41c1a5b9991e402b4035b55f437a | [
"MIT"
] | 1 | 2022-03-04T06:21:56.000Z | 2022-03-04T06:21:56.000Z | # 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 may ... | 48.6 | 94 | 0.526749 |
VERSION = "2.2.1"
| true | true |
1c2e0bb59452ec4bfcecb5fd5e9c03320a4084ba | 1,267 | py | Python | anytask/groups/migrations/0001_initial.py | antselevich/anytask | b00ea8ad929f267ac4a37d1a0eaabce28c5b02cf | [
"MIT"
] | 31 | 2015-03-24T21:11:44.000Z | 2022-03-28T22:55:12.000Z | anytask/groups/migrations/0001_initial.py | antselevich/anytask | b00ea8ad929f267ac4a37d1a0eaabce28c5b02cf | [
"MIT"
] | 286 | 2015-06-11T10:32:16.000Z | 2022-03-28T12:01:04.000Z | anytask/groups/migrations/0001_initial.py | bcskda/anytask | 5a359dcb669b689fc5a4f1705f2c88cd031ab37d | [
"MIT"
] | 44 | 2015-05-23T21:30:51.000Z | 2021-11-07T12:56:59.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import django.utils.timezone
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('years', '000... | 35.194444 | 114 | 0.604578 |
from __future__ import unicode_literals
from django.db import models, migrations
import django.utils.timezone
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('years', '0001_initial'),
]
... | true | true |
1c2e0e61dd9d9febbf9044acc472737cf3b71b63 | 2,004 | py | Python | combine_alignments_all3codons_distinguish_exons_nexuspartition.py | SethMusker/HybPiper_phasing_phyloscripts_modified | bfa9e38d48c6105d660383fa1ea60fcb3e1998a4 | [
"CC0-1.0"
] | null | null | null | combine_alignments_all3codons_distinguish_exons_nexuspartition.py | SethMusker/HybPiper_phasing_phyloscripts_modified | bfa9e38d48c6105d660383fa1ea60fcb3e1998a4 | [
"CC0-1.0"
] | null | null | null | combine_alignments_all3codons_distinguish_exons_nexuspartition.py | SethMusker/HybPiper_phasing_phyloscripts_modified | bfa9e38d48c6105d660383fa1ea60fcb3e1998a4 | [
"CC0-1.0"
] | null | null | null |
#Script to combine exon and intron alignments for a gene and generate a NEXUS formatted partition file.
# Seth's edit: specify all three codon positions as separate partitions (as recommended by PartitionFinder)
# also: write to 'exons_only.fasta/partition' if no intron file exists
# NB at present this script does not... | 35.785714 | 108 | 0.667665 |
# also: write to 'exons_only.fasta/partition' if no intron file exists
# NB at present this script does not work with python 3
import sys,os
from Bio import SeqIO
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
if len(sys.argv) < 4:
print("Usage: python combine_alignments.py exon.fasta intron.fasta... | true | true |
1c2e0ec76ac723f9616df1e26e9f8568738a1846 | 3,049 | py | Python | docs/conf.py | ClaraCDouglas/CarbonUptakeInWG | b435f51ab64e472cced0277ad3b932e2a9c9414b | [
"MIT"
] | 2 | 2021-10-05T14:56:53.000Z | 2022-01-30T18:27:53.000Z | docs/conf.py | ClaraCDouglas/CarbonUptakeInWG | b435f51ab64e472cced0277ad3b932e2a9c9414b | [
"MIT"
] | 1 | 2021-07-14T10:34:29.000Z | 2021-07-14T10:34:29.000Z | docs/conf.py | ClaraCDouglas/CarbonUptakeInWG | b435f51ab64e472cced0277ad3b932e2a9c9414b | [
"MIT"
] | null | null | null | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | 35.045977 | 79 | 0.679895 |
import os
import pathlib
import sys
print("python exec:", sys.executable)
print("sys.path:", sys.path)
root = pathlib.Path(__file__).parent.parent.absolute()
os.environ["PYTHONPATH"] = str(root)
sys.path.insert(0, str(root))
import carbonuptakeinwg
project = "carbonuptakeinwg"
copyright = "2021, Cla... | true | true |
1c2e0ed4c75c604321d2b67d71992aa45ce7be39 | 4,480 | py | Python | examples/python/matrix_from_duration_data.py | raphaelchaves/transitionMatrix | 6ac54c8c6ce15dc81aa5e894cfcfabb127634b33 | [
"Apache-2.0"
] | null | null | null | examples/python/matrix_from_duration_data.py | raphaelchaves/transitionMatrix | 6ac54c8c6ce15dc81aa5e894cfcfabb127634b33 | [
"Apache-2.0"
] | 2 | 2021-01-13T21:58:06.000Z | 2021-02-07T12:20:00.000Z | examples/python/matrix_from_duration_data.py | raphaelchaves/transitionMatrix | 6ac54c8c6ce15dc81aa5e894cfcfabb127634b33 | [
"Apache-2.0"
] | null | null | null | # encoding: utf-8
# (c) 2017-2020 Open Risk, all rights reserved
#
# TransitionMatrix is licensed under the Apache 2.0 license a copy of which is included
# in the source distribution of TransitionMatrix. This is notwithstanding any licenses of
# third-party software included in this distribution. You may not use this... | 41.481481 | 113 | 0.69933 |
import pandas as pd
import transitionMatrix as tm
from transitionMatrix import source_path
from transitionMatrix.estimators import cohort_estimator as es
dataset_path = source_path + "datasets/"
example = 3
if example == 1:
data = pd.read_csv(dataset_path + 'synthetic_data1.csv', dtyp... | true | true |
1c2e0f739c71c9793927448ad4aeba67410ef221 | 13,713 | py | Python | Train.py | karino2/Pytorch-Handwritten-Mathematical-Expression-Recognition | 6c6139624c71fa68a0a386a94346cfab39d0f087 | [
"MIT"
] | null | null | null | Train.py | karino2/Pytorch-Handwritten-Mathematical-Expression-Recognition | 6c6139624c71fa68a0a386a94346cfab39d0f087 | [
"MIT"
] | null | null | null | Train.py | karino2/Pytorch-Handwritten-Mathematical-Expression-Recognition | 6c6139624c71fa68a0a386a94346cfab39d0f087 | [
"MIT"
] | null | null | null | '''
Python 3.6
Pytorch 0.4
Written by Hongyu Wang in Beihang university
'''
import torch
import math
import torch.nn as nn
from torch.autograd import Variable
import torch.nn.functional as F
import numpy
import torch.utils.data as data
from data_iterator import dataIterator
from Densenet_torchvision import densenet121... | 37.263587 | 125 | 0.600379 | import torch
import math
import torch.nn as nn
from torch.autograd import Variable
import torch.nn.functional as F
import numpy
import torch.utils.data as data
from data_iterator import dataIterator
from Densenet_torchvision import densenet121
from Attention_RNN import AttnDecoderRNN
import random
def cmp_result(labe... | true | true |
1c2e1066fb3d5b44d2588a5b81741d29c458ba76 | 2,496 | py | Python | kratos_salome_plugin/gui/project_path_handler.py | armingeiser/KratosSalomePlugin | d402ca9edef8dff071ceabf0ebac0d858a6fbfcc | [
"BSD-3-Clause"
] | 6 | 2020-01-23T20:54:17.000Z | 2021-02-19T09:52:29.000Z | kratos_salome_plugin/gui/project_path_handler.py | armingeiser/KratosSalomePlugin | d402ca9edef8dff071ceabf0ebac0d858a6fbfcc | [
"BSD-3-Clause"
] | 20 | 2020-01-25T16:05:43.000Z | 2020-12-18T20:36:46.000Z | kratos_salome_plugin/gui/project_path_handler.py | armingeiser/KratosSalomePlugin | d402ca9edef8dff071ceabf0ebac0d858a6fbfcc | [
"BSD-3-Clause"
] | 3 | 2020-05-27T13:31:08.000Z | 2020-12-18T19:50:43.000Z | # _ __ _ ___ _ ___ _ _
# | |/ /_ _ __ _| |_ ___ __/ __| __ _| |___ _ __ ___| _ \ |_ _ __ _(_)_ _
# | ' <| '_/ _` | _/ _ (_-<__ \/ _` | / _ \ ' \/ -_) _/ | || / _` | | ' \
# |_|\_\_| \__,_|\__\___/__/___/\__,_|_\___/_|_|_\___|_| |_|\_,_\__, |_|_||_|
# ... | 29.364706 | 107 | 0.584936 |
from pathlib import Path
import logging
logger = logging.getLogger(__name__)
from PyQt5.QtWidgets import QFileDialog
from kratos_salome_plugin.exceptions import UserInputError
class ProjectPathHandler:
def __init__(self):
self.last_path = Path.home()
def GetOpenPath(self, par... | true | true |
1c2e107c782982208a14f5963f086828266d73c3 | 1,277 | py | Python | src/pre_process/ReadData.py | joaorura/k-NN_Iris_Classificator | e7d6eab400911587e4ced89fe4bb1b194e60527b | [
"MIT"
] | null | null | null | src/pre_process/ReadData.py | joaorura/k-NN_Iris_Classificator | e7d6eab400911587e4ced89fe4bb1b194e60527b | [
"MIT"
] | null | null | null | src/pre_process/ReadData.py | joaorura/k-NN_Iris_Classificator | e7d6eab400911587e4ced89fe4bb1b194e60527b | [
"MIT"
] | null | null | null | import csv
from copy import deepcopy
from utils.check_functions import check_type
class ReadData:
def _check_values(self):
check_type(self._path, str, "O campo path deve ser uma string que contem o caminho para o csv com os dados.")
def _execute(self):
with open(self._path) as file:
... | 27.76087 | 117 | 0.552858 | import csv
from copy import deepcopy
from utils.check_functions import check_type
class ReadData:
def _check_values(self):
check_type(self._path, str, "O campo path deve ser uma string que contem o caminho para o csv com os dados.")
def _execute(self):
with open(self._path) as file:
... | true | true |
1c2e107c86e64abef11fe9830e61fc754660ecb1 | 16,139 | py | Python | django_mfa/views.py | juwaini/django-mfa | 910b0f544ae5bebc02434cc6b176f74b5040f3b7 | [
"MIT"
] | null | null | null | django_mfa/views.py | juwaini/django-mfa | 910b0f544ae5bebc02434cc6b176f74b5040f3b7 | [
"MIT"
] | null | null | null | django_mfa/views.py | juwaini/django-mfa | 910b0f544ae5bebc02434cc6b176f74b5040f3b7 | [
"MIT"
] | null | null | null | import base64
import codecs
import random
import hashlib
import re
import string
from django.http import HttpResponse, HttpResponseRedirect
from django.conf import settings
from django.contrib.auth.decorators import login_required
from django.shortcuts import render, redirect, resolve_url, get_object_or_404
from django... | 37.707944 | 195 | 0.656546 | import base64
import codecs
import random
import hashlib
import re
import string
from django.http import HttpResponse, HttpResponseRedirect
from django.conf import settings
from django.contrib.auth.decorators import login_required
from django.shortcuts import render, redirect, resolve_url, get_object_or_404
from django... | true | true |
1c2e117b00b2db71fc25635adafe1b717fcbdc66 | 664 | py | Python | mod/data_process/__init__.py | Ulti-Dreisteine/data-information-measurement | 9ef777c28534867d07d9ab1a1b95d69a385043f1 | [
"MIT"
] | 1 | 2021-12-17T13:51:11.000Z | 2021-12-17T13:51:11.000Z | mod/data_process/__init__.py | Ulti-Dreisteine/data-information-measurement | 9ef777c28534867d07d9ab1a1b95d69a385043f1 | [
"MIT"
] | null | null | null | mod/data_process/__init__.py | Ulti-Dreisteine/data-information-measurement | 9ef777c28534867d07d9ab1a1b95d69a385043f1 | [
"MIT"
] | 1 | 2021-12-12T12:38:36.000Z | 2021-12-12T12:38:36.000Z | # -*- coding: utf-8 -*-
"""
Created on 2021/02/27 17:03:09
@File -> __init__.py
@Author: luolei
@Email: dreisteine262@163.com
@Describe: 初始化
"""
__all__ = ['search_nearest_neighbors_in_list']
import bisect
def search_nearest_neighbors_in_list(lst, x):
"""
寻找x在有序lst中的两侧（或单侧）邻点值.
:param x: float
:param lst: l... | 17.945946 | 58 | 0.661145 |
__all__ = ['search_nearest_neighbors_in_list']
import bisect
def search_nearest_neighbors_in_list(lst, x):
if x in lst:
return [x]
else:
if x <= lst[0]:
neighbors = [lst[0]]
elif x >= lst[-1]:
neighbors = [lst[-1]]
else:
left_idx = bisect.bisect_left(lst, x) - 1
right_idx = left_idx + 1
ne... | true | true |
1c2e1363d0cbbeedc29abaa18b06b0b3d68bc7b4 | 2,231 | py | Python | carla_utils/agents/vehicle_model.py | IamWangYunKai/DG-TrajGen | 0a8aab7e1c05111a5afe43d53801c55942e9ff56 | [
"MIT"
] | 31 | 2021-09-15T00:43:43.000Z | 2022-03-27T22:57:21.000Z | carla_utils/agents/vehicle_model.py | zhangdongkun98/carla-utils | a370db53589841c8cffe95c8df43dfc036176431 | [
"MIT"
] | 1 | 2021-12-09T03:08:13.000Z | 2021-12-15T07:08:31.000Z | carla_utils/agents/vehicle_model.py | zhangdongkun98/carla-utils | a370db53589841c8cffe95c8df43dfc036176431 | [
"MIT"
] | 2 | 2021-11-26T05:45:18.000Z | 2022-01-19T12:46:41.000Z |
import numpy as np
import torch
import torch.nn as nn
from ..basic import pi2pi_numpy, pi2pi_tensor
from ..augment import State
class RealModel(object):
def __call__(self, *args, **kwargs):
return self.forward(*args, **kwargs)
def forward(self, vehicle, control):
vehicle.apply_control(contr... | 28.602564 | 93 | 0.549978 |
import numpy as np
import torch
import torch.nn as nn
from ..basic import pi2pi_numpy, pi2pi_tensor
from ..augment import State
class RealModel(object):
def __call__(self, *args, **kwargs):
return self.forward(*args, **kwargs)
def forward(self, vehicle, control):
vehicle.apply_control(contr... | true | true |
1c2e139b9074398a0d52513986701c7d155a28ec | 10 | py | Python | test/orm/__init__.py | vollov/py-lab | 0a1a3c93c5decaa5246fab981bcc2563cc42c6d0 | [
"MIT"
] | null | null | null | test/orm/__init__.py | vollov/py-lab | 0a1a3c93c5decaa5246fab981bcc2563cc42c6d0 | [
"MIT"
] | null | null | null | test/orm/__init__.py | vollov/py-lab | 0a1a3c93c5decaa5246fab981bcc2563cc42c6d0 | [
"MIT"
] | null | null | null | import orm | 10 | 10 | 0.9 | import orm | true | true |
1c2e14776c2596c0ba1de38b0ccc53066ea2ca9a | 431 | py | Python | python/testData/hierarchy/call/Static/Constructor/main.py | jnthn/intellij-community | 8fa7c8a3ace62400c838e0d5926a7be106aa8557 | [
"Apache-2.0"
] | 2 | 2019-04-28T07:48:50.000Z | 2020-12-11T14:18:08.000Z | python/testData/hierarchy/call/Static/Constructor/main.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 173 | 2018-07-05T13:59:39.000Z | 2018-08-09T01:12:03.000Z | python/testData/hierarchy/call/Static/Constructor/main.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 2 | 2020-03-15T08:57:37.000Z | 2020-04-07T04:48:14.000Z | class A():
def __init__(self):
invoke1(self)
invoke2(self)
def method1(self):
pass
def method2(self):
pass
def invoke1(p):
p.method1()
def invoke2(p):
p.method2()
def invokeA():
a = A()
a.method1()
a.method2()
def new_class_func():
clas... | 13.46875 | 28 | 0.487239 | class A():
def __init__(self):
invoke1(self)
invoke2(self)
def method1(self):
pass
def method2(self):
pass
def invoke1(p):
p.method1()
def invoke2(p):
p.method2()
def invokeA():
a = A()
a.method1()
a.method2()
def new_class_func():
clas... | true | true |
1c2e157292b3ec5293e01f313fef45c0f7400d12 | 5,989 | py | Python | tensorflow/python/distribute/cross_device_utils_test.py | uve/tensorflow | e08079463bf43e5963acc41da1f57e95603f8080 | [
"Apache-2.0"
] | null | null | null | tensorflow/python/distribute/cross_device_utils_test.py | uve/tensorflow | e08079463bf43e5963acc41da1f57e95603f8080 | [
"Apache-2.0"
] | null | null | null | tensorflow/python/distribute/cross_device_utils_test.py | uve/tensorflow | e08079463bf43e5963acc41da1f57e95603f8080 | [
"Apache-2.0"
] | null | null | null | # 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... | 41.881119 | 81 | 0.68008 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from absl.testing import parameterized
from tensorflow.python.distribute import combinations
from tensorflow.python.distribute import cross_device_utils
from tensorflow.python.distribut... | true | true |
1c2e15f2b3b1565a30f03c85e3501e602cd8a15e | 113 | py | Python | core/__init__.py | luckylwk/neural-network-theano | 420c89e7028fcd9671866918c22a837d04387012 | [
"MIT"
] | null | null | null | core/__init__.py | luckylwk/neural-network-theano | 420c89e7028fcd9671866918c22a837d04387012 | [
"MIT"
] | null | null | null | core/__init__.py | luckylwk/neural-network-theano | 420c89e7028fcd9671866918c22a837d04387012 | [
"MIT"
] | null | null | null | from .datasets import *
from .layers import *
from .models import *
#from .trainers import *
from .utils import * | 22.6 | 24 | 0.734513 | from .datasets import *
from .layers import *
from .models import *
from .utils import * | true | true |
1c2e1629fe3fa776921a9c5d7b007b9b903c32cf | 761 | py | Python | test/log/test_LogLevelConverter.py | pip-services-python/pip-services-components-python | 428ec7a9f0f0bdfa4d39cecb2541e87b1e5d33e0 | [
"MIT"
] | null | null | null | test/log/test_LogLevelConverter.py | pip-services-python/pip-services-components-python | 428ec7a9f0f0bdfa4d39cecb2541e87b1e5d33e0 | [
"MIT"
] | null | null | null | test/log/test_LogLevelConverter.py | pip-services-python/pip-services-components-python | 428ec7a9f0f0bdfa4d39cecb2541e87b1e5d33e0 | [
"MIT"
] | 1 | 2020-03-11T21:46:42.000Z | 2020-03-11T21:46:42.000Z | # -*- coding: utf-8 -*-
"""
tests.log.test_LogLevelConverter
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
:copyright: (c) Conceptual Vision Consulting LLC 2015-2016, see AUTHORS for more details.
:license: MIT, see LICENSE for more details.
"""
from pip_services3_components.log import LogLevel
from pip_servi... | 30.44 | 93 | 0.69251 |
from pip_services3_components.log import LogLevel
from pip_services3_components.log import LogLevelConverter
class TestLogLevel:
def test_to_log_level(self):
assert LogLevelConverter.to_log_level("1") == LogLevel.Fatal
assert LogLevelConverter.to_log_level("fatal") == LogLevel.Fatal
def te... | true | true |
1c2e1675329e828da8d7efd98263b261a253de83 | 11,417 | py | Python | one/util.py | OpenNebula/addon-linstor | 71cc6d5d625929f0350cec866ff07e953fcebe12 | [
"Apache-2.0"
] | 11 | 2018-10-18T19:53:52.000Z | 2021-11-08T11:42:56.000Z | one/util.py | OpenNebula/addon-linstor | 71cc6d5d625929f0350cec866ff07e953fcebe12 | [
"Apache-2.0"
] | 13 | 2018-11-26T16:15:35.000Z | 2021-08-02T18:24:14.000Z | one/util.py | OpenNebula/addon-linstor | 71cc6d5d625929f0350cec866ff07e953fcebe12 | [
"Apache-2.0"
] | 7 | 2018-11-08T03:44:59.000Z | 2021-05-16T20:47:19.000Z | # -*- coding: utf-8 -*-
"""
OpenNebula Driver for Linstor
Copyright 2018 LINBIT USA LLC
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... | 29.57772 | 117 | 0.666287 |
from __future__ import print_function
import sys
import os
import subprocess
import syslog
import traceback
import json
import re
REMOTES_DIR = "/var/lib/one/remotes/"
ONE_LOCATION = os.getenv("ONE_LOCATION")
if ONE_LOCATION:
REMOTES_DIR = os.path.join(ONE_LOCATION, "var/remotes")
SCRIPTS_COMMON = REMOTES_DIR... | true | true |
1c2e16a41b14402840f19096fafcac8f8c1402b8 | 6,926 | py | Python | src/sardana/sardanabase.py | schooft/sardana | 76287b416650f40da79871ee3849340d0ff31f1d | [
"CC-BY-3.0"
] | null | null | null | src/sardana/sardanabase.py | schooft/sardana | 76287b416650f40da79871ee3849340d0ff31f1d | [
"CC-BY-3.0"
] | null | null | null | src/sardana/sardanabase.py | schooft/sardana | 76287b416650f40da79871ee3849340d0ff31f1d | [
"CC-BY-3.0"
] | null | null | null | #!/usr/bin/env python
##############################################################################
##
# This file is part of Sardana
##
# http://www.sardana-controls.org/
##
# Copyright 2011 CELLS / ALBA Synchrotron, Bellaterra, Spain
##
# Sardana is free software: you can redistribute it and/or modify
# it under th... | 32.669811 | 85 | 0.618539 | true | true | |
1c2e16a8640c5d8ca1be6a0c510284f122c75808 | 1,549 | py | Python | local-tests/run_nodes.py | kumandra/kumandra-node | eceacafde002f8a14dedfdc2ab953b213b8fb699 | [
"Apache-2.0"
] | null | null | null | local-tests/run_nodes.py | kumandra/kumandra-node | eceacafde002f8a14dedfdc2ab953b213b8fb699 | [
"Apache-2.0"
] | 8 | 2022-03-21T04:41:05.000Z | 2022-03-21T06:36:19.000Z | local-tests/run_nodes.py | kumandra/kumandra-node | eceacafde002f8a14dedfdc2ab953b213b8fb699 | [
"Apache-2.0"
] | null | null | null | #!/bin/env python
# Short script demonstrating the basic usage of `chainrunner` package.
# Reproduces (more or less) the behavior of `run_nodes.sh`.
# For running local experiments it's much more convenient to manage the chain
# using an interactive environment (Python console, Jupyter notebook etc.)
from time import... | 29.226415 | 99 | 0.647515 |
# using an interactive environment (Python console, Jupyter notebook etc.)
from time import sleep
from chainrunner import Chain, Seq, generate_keys, check_finalized
nodes = 4
workdir = '.'
binary = '../target/release/kumandra-node'
port = 30334
ws_port = 9944
rpc_port = 9933
phrases = ['//Alice', '//Bob', '//C... | true | true |
1c2e17c4bf587013e11f885311464167a66ecff8 | 23,032 | py | Python | Server/Python/tests/dbsserver_t/utils/DBSDataProvider.py | vkuznet/DBS | 14df8bbe8ee8f874fe423399b18afef911fe78c7 | [
"Apache-2.0"
] | 8 | 2015-08-14T04:01:32.000Z | 2021-06-03T00:56:42.000Z | Server/Python/tests/dbsserver_t/utils/DBSDataProvider.py | yuyiguo/DBS | 14df8bbe8ee8f874fe423399b18afef911fe78c7 | [
"Apache-2.0"
] | 162 | 2015-01-07T21:34:47.000Z | 2021-10-13T09:42:41.000Z | Server/Python/tests/dbsserver_t/utils/DBSDataProvider.py | yuyiguo/DBS | 14df8bbe8ee8f874fe423399b18afef911fe78c7 | [
"Apache-2.0"
] | 16 | 2015-01-22T15:27:29.000Z | 2021-04-28T09:23:28.000Z | """
Class to provide data for unit- and integration tests
"""
from itertools import izip
from collections import defaultdict
import cPickle as pickle
import getpass
import os.path
import uuid
import time
import os
import random
def create_dbs_data_provider(data_type='persistent',data_location=None):
data_types = {... | 39.986111 | 138 | 0.622308 | from itertools import izip
from collections import defaultdict
import cPickle as pickle
import getpass
import os.path
import uuid
import time
import os
import random
def create_dbs_data_provider(data_type='persistent',data_location=None):
data_types = {'persistent' : DBSDataProvider(DBSPersistentData()),
... | true | true |
1c2e18717f79affbbd5759b5c38a77e944e4f5e5 | 16,165 | py | Python | sdk/python/pulumi_azure_nextgen/network/v20200401/subnet.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 31 | 2020-09-21T09:41:01.000Z | 2021-02-26T13:21:59.000Z | sdk/python/pulumi_azure_nextgen/network/v20200401/subnet.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 231 | 2020-09-21T09:38:45.000Z | 2021-03-01T11:16:03.000Z | sdk/python/pulumi_azure_nextgen/network/v20200401/subnet.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 4 | 2020-09-29T14:14:59.000Z | 2021-02-10T20:38:16.000Z | # 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
from ... import _utilities, _tables
from... | 54.063545 | 2,279 | 0.691432 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from . import outputs
from ._enums import *
from ._inputs import *
__all__ = ['Subnet']
class Subnet(pulumi.CustomResource):
def __init__(__self__,
... | true | true |
1c2e18e9cbd368c6827997206237fb7931ec5395 | 12,886 | py | Python | nemo/collections/asr/parts/submodules/multi_head_attention.py | hamjam/NeMo | b3484d32e1317666151f931bfa39867d88ed8658 | [
"Apache-2.0"
] | 1 | 2022-03-08T02:48:44.000Z | 2022-03-08T02:48:44.000Z | nemo/collections/asr/parts/submodules/multi_head_attention.py | hamjam/NeMo | b3484d32e1317666151f931bfa39867d88ed8658 | [
"Apache-2.0"
] | 1 | 2022-03-06T14:09:02.000Z | 2022-03-06T14:09:02.000Z | nemo/collections/asr/parts/submodules/multi_head_attention.py | hamjam/NeMo | b3484d32e1317666151f931bfa39867d88ed8658 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020, 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 copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 41.169329 | 118 | 0.621527 |
import math
import torch
import torch.nn as nn
__all__ = [
'RelPositionMultiHeadAttention',
'RelPositionalEncoding',
'PositionalEncoding',
]
class MultiHeadAttention(nn.Module):
def __init__(self, n_head, n_feat, dropout_rate):
super(MultiHeadAttention, self).... | true | true |
1c2e1cd8e3fac74e232aa6bb8af903e8e59a0397 | 7,768 | py | Python | examples/mujoco/train_ppo_batch_gym.py | cnheider/chainerrl | 018a29132d77e5af0f92161250c72aba10c6ce29 | [
"MIT"
] | 923 | 2017-06-01T08:27:42.000Z | 2022-03-24T02:17:04.000Z | examples/mujoco/train_ppo_batch_gym.py | hardmaru/chainerrl | 018a29132d77e5af0f92161250c72aba10c6ce29 | [
"MIT"
] | 374 | 2017-06-02T02:07:50.000Z | 2021-06-29T22:05:38.000Z | examples/mujoco/train_ppo_batch_gym.py | hardmaru/chainerrl | 018a29132d77e5af0f92161250c72aba10c6ce29 | [
"MIT"
] | 253 | 2017-06-04T10:31:50.000Z | 2022-03-19T15:20:51.000Z | """An example of training PPO against OpenAI Gym Envs.
This script is an example of training a PPO agent against OpenAI Gym envs.
Both discrete and continuous action spaces are supported.
To solve CartPole-v0, run:
python train_ppo_gym.py --env CartPole-v0
"""
import argparse
import functools
import chainer
from... | 37.892683 | 91 | 0.644954 | import argparse
import functools
import chainer
from chainer import functions as F
from chainer import links as L
import gym
import gym.spaces
import numpy as np
import chainerrl
from chainerrl.agents import PPO
from chainerrl import experiments
from chainerrl import misc
from chainerrl.optimizers.nonbias_weight_deca... | true | true |
1c2e1d04399dd2ab41dcc73c61b9cb123cf6a55d | 11,815 | py | Python | hw0_release/.env/lib/python3.7/site-packages/skimage/data/__init__.py | Renhy/CS131_release | 23b92d04c4cbb122da18dc929199d3d06fb0251f | [
"MIT"
] | 1 | 2019-01-12T13:17:32.000Z | 2019-01-12T13:17:32.000Z | rcnn/lib/python3.6/site-packages/skimage/data/__init__.py | dreamingweaver/making_passportImage | 68f23411780ff82abe934dfae5fc04acb80f2c49 | [
"MIT"
] | null | null | null | rcnn/lib/python3.6/site-packages/skimage/data/__init__.py | dreamingweaver/making_passportImage | 68f23411780ff82abe934dfae5fc04acb80f2c49 | [
"MIT"
] | null | null | null | # coding: utf-8
"""Standard test images.
For more images, see
- http://sipi.usc.edu/database/database.php
"""
import os as _os
import numpy as _np
from .. import data_dir
from ..io import imread, use_plugin
from .._shared._warnings import expected_warnings, warn
from .. import img_as_bool
from ._binary_blobs im... | 27.412993 | 104 | 0.65019 |
import os as _os
import numpy as _np
from .. import data_dir
from ..io import imread, use_plugin
from .._shared._warnings import expected_warnings, warn
from .. import img_as_bool
from ._binary_blobs import binary_blobs
__all__ = ['load',
'astronaut',
'binary_blobs',
'camera',
... | true | true |
1c2e1deaf306e0ed002b9293002fa360230bcd40 | 418 | py | Python | exercise8.py | iansantana00/Python-Course | 43852aa64c93099342ab4765b0fe8729a959449e | [
"MIT"
] | 2 | 2022-01-13T15:55:58.000Z | 2022-02-11T23:18:34.000Z | exercise8.py | iansantana00/Python-Course | 43852aa64c93099342ab4765b0fe8729a959449e | [
"MIT"
] | null | null | null | exercise8.py | iansantana00/Python-Course | 43852aa64c93099342ab4765b0fe8729a959449e | [
"MIT"
] | null | null | null | # -*- Coding: utf-8 -*-
print("VERIFICADOR DE CONSUMO")
print("-----------------------")
d = float(input("Distância percorrida pelo carro em km: "))
v = float(input("Quantidade de gasolina consumida em l: "))
c = d/v
if c < 8:
print(f"Consumo de {c}km/l, VENDA O CARRO!")
elif c > 8 and c < 14:
p... | 27.866667 | 60 | 0.574163 |
print("VERIFICADOR DE CONSUMO")
print("-----------------------")
d = float(input("Distância percorrida pelo carro em km: "))
v = float(input("Quantidade de gasolina consumida em l: "))
c = d/v
if c < 8:
print(f"Consumo de {c}km/l, VENDA O CARRO!")
elif c > 8 and c < 14:
print(f"Consumo de {c}km/l... | true | true |
1c2e1e065a6bb1b61bcba4f5de7902153878b816 | 502 | py | Python | app/auth/__init__.py | muli3203/blogting | 9fc048b7cf42fa7751de34317dc186909a9fa8c9 | [
"MIT"
] | null | null | null | app/auth/__init__.py | muli3203/blogting | 9fc048b7cf42fa7751de34317dc186909a9fa8c9 | [
"MIT"
] | null | null | null | app/auth/__init__.py | muli3203/blogting | 9fc048b7cf42fa7751de34317dc186909a9fa8c9 | [
"MIT"
] | 1 | 2020-02-21T13:22:36.000Z | 2020-02-21T13:22:36.000Z | # from flask_mail import Message
# from flask import render_template
# from . import mail
# def mail_message(subject,template,to,**kwargs):
# sender_email = "moringademo@gmail.com"
# email = Message(subject, sender= sender_email, recipients=[to])
# email.body = render_template(template + ".txt",**kwar... | 31.375 | 69 | 0.705179 |
from flask import Blueprint
auth = Blueprint('auth', __name__)
from . import views, forms | true | true |
1c2e1ea426c69378e7820b30572031dd68c0043c | 3,285 | py | Python | iteration2/ZoomPollViewer/Poll.py | a-haruntokyer/Zoom-Poll-Data-Match | ac46cfadbb743f34411b530ce4f5bd464362e622 | [
"MIT"
] | null | null | null | iteration2/ZoomPollViewer/Poll.py | a-haruntokyer/Zoom-Poll-Data-Match | ac46cfadbb743f34411b530ce4f5bd464362e622 | [
"MIT"
] | null | null | null | iteration2/ZoomPollViewer/Poll.py | a-haruntokyer/Zoom-Poll-Data-Match | ac46cfadbb743f34411b530ce4f5bd464362e622 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
ZOOM POLL VIEWER v0.1
POLL CLASS
11 Function
3 Object
"""
from .Question import Question
class Poll:
def __init__(self, zpv, poll_name, poll_type="QUIZ"):
self.zpv = zpv
self._name = poll_name
self._type = poll_type
self._questions = []
self._... | 29.863636 | 102 | 0.625266 |
from .Question import Question
class Poll:
def __init__(self, zpv, poll_name, poll_type="QUIZ"):
self.zpv = zpv
self._name = poll_name
self._type = poll_type
self._questions = []
self._number_of_questions = None
self._session_grades = {}
self._number_of_... | true | true |
1c2e1ebe11f2d9f090f081f98954d52c29c6346a | 13,914 | py | Python | awacs/ec2.py | chizou/awacs | 335c545d13ea22488b318245af891eb427c139db | [
"BSD-2-Clause"
] | null | null | null | awacs/ec2.py | chizou/awacs | 335c545d13ea22488b318245af891eb427c139db | [
"BSD-2-Clause"
] | null | null | null | awacs/ec2.py | chizou/awacs | 335c545d13ea22488b318245af891eb427c139db | [
"BSD-2-Clause"
] | null | null | null | # Copyright (c) 2012-2013, Mark Peek <mark@peek.org>
# All rights reserved.
#
# See LICENSE file for full license.
from aws import Action as BaseAction
from aws import BaseARN
service_name = 'Amazon EC2 Spot Fleet'
prefix = 'ec2'
class Action(BaseAction):
def __init__(self, action=None):
sup = super(Act... | 48.821053 | 73 | 0.840089 |
from aws import Action as BaseAction
from aws import BaseARN
service_name = 'Amazon EC2 Spot Fleet'
prefix = 'ec2'
class Action(BaseAction):
def __init__(self, action=None):
sup = super(Action, self)
sup.__init__(prefix, action)
class ARN(BaseARN):
def __init__(self, resource='', regio... | true | true |
1c2e217d058dd1b7ec6b25e09d68c49a4bf5dc41 | 24,975 | py | Python | tests/__init__.py | korkeatw/pythainlp | 6fc7c3434d5e58c8e8e2bf13470445cbab0866bd | [
"Apache-2.0"
] | null | null | null | tests/__init__.py | korkeatw/pythainlp | 6fc7c3434d5e58c8e8e2bf13470445cbab0866bd | [
"Apache-2.0"
] | null | null | null | tests/__init__.py | korkeatw/pythainlp | 6fc7c3434d5e58c8e8e2bf13470445cbab0866bd | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Unit test
"""
import datetime
import os
import unittest
from collections import Counter
from nltk.corpus import wordnet as wn
from pythainlp import word_vector
from pythainlp.corpus import (
_CORPUS_PATH,
conceptnet,
countries,
download,
provinces,
remove,
thai_n... | 38.364055 | 88 | 0.603524 |
import datetime
import os
import unittest
from collections import Counter
from nltk.corpus import wordnet as wn
from pythainlp import word_vector
from pythainlp.corpus import (
_CORPUS_PATH,
conceptnet,
countries,
download,
provinces,
remove,
thai_negations,
thai_stopwords,
thai_sy... | true | true |
1c2e22a90ad2aaad5a60b61d2ee131476440569c | 24,455 | py | Python | pytorch_src/engagement_classifier.py | PlusLabNLP/PredictiveEngagement | 214d3eb20901982d192b05b4d496420dfb273f8e | [
"MIT"
] | 13 | 2020-08-16T10:19:35.000Z | 2021-11-19T07:35:57.000Z | pytorch_src/engagement_classifier.py | PlusLabNLP/PredictiveEngagement | 214d3eb20901982d192b05b4d496420dfb273f8e | [
"MIT"
] | null | null | null | pytorch_src/engagement_classifier.py | PlusLabNLP/PredictiveEngagement | 214d3eb20901982d192b05b4d496420dfb273f8e | [
"MIT"
] | 2 | 2020-01-04T02:35:07.000Z | 2020-01-23T20:18:32.000Z | import random
import numpy as np
import torch
import torch.optim as optim
import matplotlib.pyplot as plt
from sklearn.metrics import classification_report, roc_auc_score
import pickle
import torch.nn as nn
import os
import csv
random.seed(1000)
np.random.seed(1000)
torch.manual_seed(1000)
# torch.backends.cudnn.ben... | 45.881801 | 217 | 0.604457 | import random
import numpy as np
import torch
import torch.optim as optim
import matplotlib.pyplot as plt
from sklearn.metrics import classification_report, roc_auc_score
import pickle
import torch.nn as nn
import os
import csv
random.seed(1000)
np.random.seed(1000)
torch.manual_seed(1000)
class Engagement_cls()... | true | true |
1c2e22d242454048924dcdcb258ef19ca93433b3 | 7,544 | py | Python | tests/rados/test_9929.py | hmaheswa/cephci | b75c1e58e1222865c81c0558ff98b3708dc4236a | [
"MIT"
] | null | null | null | tests/rados/test_9929.py | hmaheswa/cephci | b75c1e58e1222865c81c0558ff98b3708dc4236a | [
"MIT"
] | null | null | null | tests/rados/test_9929.py | hmaheswa/cephci | b75c1e58e1222865c81c0558ff98b3708dc4236a | [
"MIT"
] | null | null | null | import json
import random
import time
import traceback
from ceph.rados_utils import RadosHelper
from utility.log import Log
log = Log(__name__)
def run(ceph_cluster, **kw):
"""
CEPH-9929-RADOS:
Corrupt an object in ec pool followed by
list-inconsistent-* commands
1. create a jerasure ec pool wit... | 34.290909 | 86 | 0.615986 | import json
import random
import time
import traceback
from ceph.rados_utils import RadosHelper
from utility.log import Log
log = Log(__name__)
def run(ceph_cluster, **kw):
log.info("Running CEPH-9929")
log.info(run.__doc__)
ceph_nodes = kw.get("ceph_nodes")
config = kw.get("config")
build = co... | true | true |
1c2e22d8ae316b4a6d4048c96dab0849ac091011 | 182 | py | Python | setup.py | Hekstra-Lab/napari-labeller | 74913dce72c773df2ec94e1cb3798dd40fedf219 | [
"BSD-3-Clause"
] | null | null | null | setup.py | Hekstra-Lab/napari-labeller | 74913dce72c773df2ec94e1cb3798dd40fedf219 | [
"BSD-3-Clause"
] | 1 | 2021-12-03T21:26:27.000Z | 2021-12-03T21:26:27.000Z | setup.py | Hekstra-Lab/napari-labeller | 74913dce72c773df2ec94e1cb3798dd40fedf219 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
from setuptools import setup
# https://github.com/pypa/setuptools_scm
use_scm = {"write_to": "src/napari_labeller/_version.py"}
setup(use_scm_version=use_scm)
| 26 | 57 | 0.78022 |
from setuptools import setup
use_scm = {"write_to": "src/napari_labeller/_version.py"}
setup(use_scm_version=use_scm)
| true | true |
1c2e2463dffc444c3ccdc2e39b33c19f6d840870 | 1,604 | py | Python | official/nlp/mass/mindspore_hub_conf.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/nlp/mass/mindspore_hub_conf.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/nlp/mass/mindspore_hub_conf.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2020-2021 Huawei Technologies Co., Ltd
#
# 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 agre... | 41.128205 | 88 | 0.698254 |
import os
import mindspore.common.dtype as mstype
from config import TransformerConfig
from src.transformer import TransformerNetworkWithLoss, TransformerInferModel
def get_config(config):
config = TransformerConfig.from_json_file(config)
config.compute_type = mstype.float16
config.dtype = ms... | true | true |
1c2e251fe2c93f024f77f51ca40430d2ad2eb207 | 3,121 | py | Python | spacebase/user/models.py | hugoantunes/spacebase | b33c53ec093ed1ff3c0fcb6161bffeda98cc8ba6 | [
"MIT"
] | null | null | null | spacebase/user/models.py | hugoantunes/spacebase | b33c53ec093ed1ff3c0fcb6161bffeda98cc8ba6 | [
"MIT"
] | 6 | 2020-06-05T23:28:15.000Z | 2022-02-10T12:45:02.000Z | spacebase/user/models.py | hugoantunes/spacebase | b33c53ec093ed1ff3c0fcb6161bffeda98cc8ba6 | [
"MIT"
] | null | null | null | from django.db import models
from django.db.models.signals import post_save
class User(models.Model):
first_name = models.CharField(max_length=30, blank=False)
last_name = models.CharField(max_length=30, blank=False)
iban = models.CharField(max_length=34, blank=False)
class UserAddress(models.Model):
... | 37.60241 | 99 | 0.622877 | from django.db import models
from django.db.models.signals import post_save
class User(models.Model):
first_name = models.CharField(max_length=30, blank=False)
last_name = models.CharField(max_length=30, blank=False)
iban = models.CharField(max_length=34, blank=False)
class UserAddress(models.Model):
... | true | true |
1c2e2699c29161f428e7a7edc801cf5bc77c1afb | 3,008 | py | Python | www/src/Lib/browser/indexed_db.py | raspberrypieman/brython | 2cc23d1da6acda604d4a56b4c9d464eb7e374eda | [
"BSD-3-Clause"
] | 5,926 | 2015-01-01T07:45:08.000Z | 2022-03-31T12:34:38.000Z | www/src/Lib/browser/indexed_db.py | raspberrypieman/brython | 2cc23d1da6acda604d4a56b4c9d464eb7e374eda | [
"BSD-3-Clause"
] | 1,728 | 2015-01-01T01:09:12.000Z | 2022-03-30T23:25:22.000Z | www/src/Lib/browser/indexed_db.py | raspberrypieman/brython | 2cc23d1da6acda604d4a56b4c9d464eb7e374eda | [
"BSD-3-Clause"
] | 574 | 2015-01-02T01:36:10.000Z | 2022-03-26T10:18:48.000Z | class EventListener:
def __init__(self, events=[]):
self._events=events
def append(self, event):
self._events.append(event)
def fire(self, e):
for _event in self._events:
_event(e)
class IndexedDB:
def __init__(self):
if not __BRYTHON__.has_indexedDB:
raise NotImple... | 28.11215 | 76 | 0.665891 | class EventListener:
def __init__(self, events=[]):
self._events=events
def append(self, event):
self._events.append(event)
def fire(self, e):
for _event in self._events:
_event(e)
class IndexedDB:
def __init__(self):
if not __BRYTHON__.has_indexedDB:
raise NotImple... | true | true |
1c2e26f6a8e0d4b0d26ae185c527fffe209c3a78 | 7,353 | py | Python | examples/run_value_movielens.py | Ulian7/DeepCTR | d8f519a722a4d6a4f1fe18e04af54cfd1369c9a5 | [
"Apache-2.0"
] | null | null | null | examples/run_value_movielens.py | Ulian7/DeepCTR | d8f519a722a4d6a4f1fe18e04af54cfd1369c9a5 | [
"Apache-2.0"
] | null | null | null | examples/run_value_movielens.py | Ulian7/DeepCTR | d8f519a722a4d6a4f1fe18e04af54cfd1369c9a5 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import pandas as pd
import torch
import pdb
import sys
sys.path.append('../')
from sklearn.preprocessing import LabelEncoder
from tensorflow.python.keras.preprocessing.sequence import pad_sequences
from deepctr_torch.inputs import SparseFeat, VarLenSparseFeat, get_feature_names
from deepctr_torch.mo... | 41.542373 | 188 | 0.604107 | import numpy as np
import pandas as pd
import torch
import pdb
import sys
sys.path.append('../')
from sklearn.preprocessing import LabelEncoder
from tensorflow.python.keras.preprocessing.sequence import pad_sequences
from deepctr_torch.inputs import SparseFeat, VarLenSparseFeat, get_feature_names
from deepctr_torch.mo... | true | true |
1c2e27b4c45588a8f4eb9e6c487a361c90839bab | 1,597 | py | Python | tatk/policy/rule/camrest/rule.py | keshuichonglx/tatk | 7e8ad18ca98b105cb0168192bddf80b747067c1b | [
"Apache-2.0"
] | 2 | 2020-09-05T13:12:44.000Z | 2020-10-12T16:51:16.000Z | tatk/policy/rule/camrest/rule.py | keshuichonglx/tatk | 7e8ad18ca98b105cb0168192bddf80b747067c1b | [
"Apache-2.0"
] | null | null | null | tatk/policy/rule/camrest/rule.py | keshuichonglx/tatk | 7e8ad18ca98b105cb0168192bddf80b747067c1b | [
"Apache-2.0"
] | 1 | 2019-11-25T15:34:33.000Z | 2019-11-25T15:34:33.000Z | # -*- coding: utf-8 -*-
import torch
from tatk.policy.policy import Policy
from tatk.policy.rule.camrest.rule_based_camrest_bot import RuleBasedCamrestBot
from tatk.policy.rule.camrest.policy_agenda_camrest import UserPolicyAgendaCamrest
DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
class Rule... | 30.711538 | 111 | 0.620539 |
import torch
from tatk.policy.policy import Policy
from tatk.policy.rule.camrest.rule_based_camrest_bot import RuleBasedCamrestBot
from tatk.policy.rule.camrest.policy_agenda_camrest import UserPolicyAgendaCamrest
DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
class Rule(Policy):
def ... | true | true |
1c2e2827127ca09db1965ad1e596f372ea8f2ad7 | 2,056 | py | Python | tests/infra/test_utils.py | Keendata/impala | b25e250d321f329b98e017c648df75d052497963 | [
"Apache-2.0"
] | 1,523 | 2015-01-01T03:42:24.000Z | 2022-02-06T22:24:04.000Z | tests/infra/test_utils.py | xwzbupt/impala | 97dda2b27da99367f4d07699aa046b16cda16dd4 | [
"Apache-2.0"
] | 10 | 2015-01-09T06:46:05.000Z | 2022-03-29T21:57:57.000Z | tests/infra/test_utils.py | xwzbupt/impala | 97dda2b27da99367f4d07699aa046b16cda16dd4 | [
"Apache-2.0"
] | 647 | 2015-01-02T04:01:40.000Z | 2022-03-30T15:57:35.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 41.959184 | 87 | 0.708658 |
from tests.util.filesystem_utils import prepend_with_fs
from tests.util.parse_util import get_bytes_summary_stats_counter
def test_filesystem_utils():
path = "/fake-warehouse"
assert prepend_with_fs("", path) == path
fs = "fakeFs://bucket"
path = "/fake-warehouse"
assert prepend_wi... | true | true |
1c2e2904a3aedd99529257cced819199ac3608c7 | 2,985 | py | Python | linalg/lu_decomp.py | lpierezan/cp_playground | 818d116391b762c1ca03be772a50bb997b7958a4 | [
"Apache-2.0"
] | null | null | null | linalg/lu_decomp.py | lpierezan/cp_playground | 818d116391b762c1ca03be772a50bb997b7958a4 | [
"Apache-2.0"
] | null | null | null | linalg/lu_decomp.py | lpierezan/cp_playground | 818d116391b762c1ca03be772a50bb997b7958a4 | [
"Apache-2.0"
] | null | null | null | import numpy as np
def lu_decomp(A):
n = len(A)
U = A.copy()
L = np.eye(n)
row_idx = list(range(n))
for col in range(n):
# find best row
best_row, best_elem = None, None
for row in range(col,n):
row_i = row_idx[row]
elem = U[row_i][col]
i... | 23.139535 | 92 | 0.473032 | import numpy as np
def lu_decomp(A):
n = len(A)
U = A.copy()
L = np.eye(n)
row_idx = list(range(n))
for col in range(n):
best_row, best_elem = None, None
for row in range(col,n):
row_i = row_idx[row]
elem = U[row_i][col]
if best_row is N... | true | true |
1c2e29327dc4182eec73106e98a86215fcaad2e2 | 15,873 | py | Python | pdm/pep517/metadata.py | danieleades/pdm-pep517 | 129697f841c0f635465caf83332c75f5e30b0c6f | [
"MIT"
] | null | null | null | pdm/pep517/metadata.py | danieleades/pdm-pep517 | 129697f841c0f635465caf83332c75f5e30b0c6f | [
"MIT"
] | null | null | null | pdm/pep517/metadata.py | danieleades/pdm-pep517 | 129697f841c0f635465caf83332c75f5e30b0c6f | [
"MIT"
] | null | null | null | import glob
import os
import re
import warnings
from pathlib import Path
from typing import (
Any,
Callable,
Dict,
Generic,
Iterable,
List,
Mapping,
Optional,
Type,
TypeVar,
Union,
)
from pdm.pep517._vendor import toml
from pdm.pep517._vendor.packaging.requirements import Re... | 36.489655 | 88 | 0.564544 | import glob
import os
import re
import warnings
from pathlib import Path
from typing import (
Any,
Callable,
Dict,
Generic,
Iterable,
List,
Mapping,
Optional,
Type,
TypeVar,
Union,
)
from pdm.pep517._vendor import toml
from pdm.pep517._vendor.packaging.requirements import Re... | true | true |
1c2e296046eb40e47029a156980229e65ae057e3 | 23,662 | py | Python | featuretools/computational_backends/pandas_backend.py | kunalvats/featuretools | 25d8a36b7d636546161122095f5d6ca793a0b974 | [
"BSD-3-Clause"
] | 1 | 2019-06-06T15:16:26.000Z | 2019-06-06T15:16:26.000Z | featuretools/computational_backends/pandas_backend.py | kunalvats/featuretools | 25d8a36b7d636546161122095f5d6ca793a0b974 | [
"BSD-3-Clause"
] | null | null | null | featuretools/computational_backends/pandas_backend.py | kunalvats/featuretools | 25d8a36b7d636546161122095f5d6ca793a0b974 | [
"BSD-3-Clause"
] | null | null | null | import cProfile
import logging
import os
import pstats
import sys
import warnings
from datetime import datetime
import numpy as np
import pandas as pd
import pandas.api.types as pdtypes
from future import standard_library
from .base_backend import ComputationalBackend
from .feature_tree import FeatureTree
from featu... | 44.645283 | 107 | 0.584946 | import cProfile
import logging
import os
import pstats
import sys
import warnings
from datetime import datetime
import numpy as np
import pandas as pd
import pandas.api.types as pdtypes
from future import standard_library
from .base_backend import ComputationalBackend
from .feature_tree import FeatureTree
from featu... | true | true |
1c2e2aaab2e6d66ef8843c2a09921db66922ee45 | 6,758 | py | Python | tests/cli/test_cli_parser.py | wegamekinglc/incubator-airflow | fc174635b0729253a86e8c877d6d8551a815a2cb | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 7 | 2018-11-19T12:05:13.000Z | 2020-01-17T08:30:38.000Z | tests/cli/test_cli_parser.py | wegamekinglc/incubator-airflow | fc174635b0729253a86e8c877d6d8551a815a2cb | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 4 | 2021-06-28T20:57:42.000Z | 2022-02-26T02:11:11.000Z | tests/cli/test_cli_parser.py | wegamekinglc/incubator-airflow | fc174635b0729253a86e8c877d6d8551a815a2cb | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2021-03-03T01:44:08.000Z | 2021-03-03T01:44:08.000Z | #!/usr/bin/env python
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "... | 39.988166 | 109 | 0.606244 |
import argparse
import contextlib
import io
import re
from collections import Counter
from unittest import TestCase
import pytest
from airflow.cli import cli_parser
ILLEGAL_LONG_OPTION_PATTERN = re.compile("^--[a-z]+_[a-z]+|^--.*[A-Z].*")
LEGAL_SHORT_OPTION_PATTERN = re.compile("^-[a-zA-z]$")
c... | true | true |
1c2e2bf8cd12b512636be05fa4bca246f5094a61 | 325 | py | Python | custom_components/react/enums.py | gertjanstulp/ha-mapper | 9cc84a4856e5f3e45077fd7d2586188b199f83d8 | [
"Apache-2.0"
] | null | null | null | custom_components/react/enums.py | gertjanstulp/ha-mapper | 9cc84a4856e5f3e45077fd7d2586188b199f83d8 | [
"Apache-2.0"
] | null | null | null | custom_components/react/enums.py | gertjanstulp/ha-mapper | 9cc84a4856e5f3e45077fd7d2586188b199f83d8 | [
"Apache-2.0"
] | null | null | null | from enum import Enum
class ReactStage(str, Enum):
SETUP = "setup"
STARTUP = "startup"
WAITING = "waiting"
RUNNING = "running"
BACKGROUND = "background"
class ReactDisabledReason(str, Enum):
REMOVED = "removed"
LOAD_REACT = "load_react"
RESTORE = "restore"
CONSTRAINTS = "constrai... | 19.117647 | 37 | 0.655385 | from enum import Enum
class ReactStage(str, Enum):
SETUP = "setup"
STARTUP = "startup"
WAITING = "waiting"
RUNNING = "running"
BACKGROUND = "background"
class ReactDisabledReason(str, Enum):
REMOVED = "removed"
LOAD_REACT = "load_react"
RESTORE = "restore"
CONSTRAINTS = "constrai... | true | true |
1c2e2c3f297014f04fdf8b9a69ec8380ed2aa5c6 | 1,866 | py | Python | airflow_concert/motif/bigquery_query_job.py | NiltonDuarte/AirflowConcert | a2503a981f24be32d1478a7bb07620568b5e277a | [
"MIT"
] | null | null | null | airflow_concert/motif/bigquery_query_job.py | NiltonDuarte/AirflowConcert | a2503a981f24be32d1478a7bb07620568b5e277a | [
"MIT"
] | null | null | null | airflow_concert/motif/bigquery_query_job.py | NiltonDuarte/AirflowConcert | a2503a981f24be32d1478a7bb07620568b5e277a | [
"MIT"
] | null | null | null | from typing import Optional
from airflow_concert.motif.motif_base import MotifBase
from airflow_concert.motif.mixins.bigquery_job import BigQueryJobMixin, BigQueryTimePartitioning
from airflow_concert.phrase.protocols import PExecuteQueryMotif
class BigQueryQueryJobMotif(MotifBase, BigQueryJobMixin, PExecuteQueryMoti... | 43.395349 | 96 | 0.695606 | from typing import Optional
from airflow_concert.motif.motif_base import MotifBase
from airflow_concert.motif.mixins.bigquery_job import BigQueryJobMixin, BigQueryTimePartitioning
from airflow_concert.phrase.protocols import PExecuteQueryMotif
class BigQueryQueryJobMotif(MotifBase, BigQueryJobMixin, PExecuteQueryMoti... | true | true |
1c2e2cd1ed9af9f97446de32934f76fb590241e6 | 441 | py | Python | githistorydata/filechanges.py | webedx-spark/git-history-data | 14b60ab229b840c14be37d48aade28e462f29cb0 | [
"BSD-2-Clause"
] | 15 | 2015-12-30T03:01:59.000Z | 2021-04-18T12:32:36.000Z | githistorydata/filechanges.py | webedx-spark/git-history-data | 14b60ab229b840c14be37d48aade28e462f29cb0 | [
"BSD-2-Clause"
] | 2 | 2016-02-08T18:37:26.000Z | 2020-01-28T09:51:58.000Z | githistorydata/filechanges.py | webedx-spark/git-history-data | 14b60ab229b840c14be37d48aade28e462f29cb0 | [
"BSD-2-Clause"
] | 6 | 2016-01-09T02:57:33.000Z | 2021-05-27T00:55:01.000Z |
class FileChanges( object ):
def __init__( self, added, removed, name ):
self.added = added
self.removed = removed
self.name = name
def __str__( self ):
return "+%d -%d %s" % ( self.added, self.removed, self.name )
def __eq__( self, other ):
return (
s... | 24.5 | 69 | 0.537415 |
class FileChanges( object ):
def __init__( self, added, removed, name ):
self.added = added
self.removed = removed
self.name = name
def __str__( self ):
return "+%d -%d %s" % ( self.added, self.removed, self.name )
def __eq__( self, other ):
return (
s... | true | true |
1c2e2f46711fc360cb68a5335f3b09e7bd551c6b | 3,763 | py | Python | server/fullstackChallenge/settings.py | thiagobrez/newsWebsite | 130f01d29dd776eaa096080982274bb27d19ad8f | [
"MIT"
] | null | null | null | server/fullstackChallenge/settings.py | thiagobrez/newsWebsite | 130f01d29dd776eaa096080982274bb27d19ad8f | [
"MIT"
] | 7 | 2020-09-07T18:44:00.000Z | 2022-02-10T19:05:41.000Z | server/fullstackChallenge/settings.py | thiagobrez/newsWebsite | 130f01d29dd776eaa096080982274bb27d19ad8f | [
"MIT"
] | null | null | null | """
Django settings for fullstackChallenge project.
Generated by 'django-admin startproject' using Django 2.1.7.
For more information on this file, see
https://docs.djangoproject.com/en/2.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.1/ref/settings/
"""
i... | 25.598639 | 91 | 0.688546 |
import os
from decouple import config
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
SECRET_KEY = config('SECRET_KEY')
DEBUG = config('DEBUG', cast=bool)
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql_psycopg2',
'NAME': config('DB_NAME'),
'... | true | true |
1c2e310f57502b89e03733838eb5436fa364367d | 3,051 | py | Python | tests/test_tutorial/test_handling_errors/test_tutorial002.py | 0x20bf-org/fastapi | 46a1d68387b2bfb6513bfe956e84fc99767d737a | [
"MIT"
] | null | null | null | tests/test_tutorial/test_handling_errors/test_tutorial002.py | 0x20bf-org/fastapi | 46a1d68387b2bfb6513bfe956e84fc99767d737a | [
"MIT"
] | null | null | null | tests/test_tutorial/test_handling_errors/test_tutorial002.py | 0x20bf-org/fastapi | 46a1d68387b2bfb6513bfe956e84fc99767d737a | [
"MIT"
] | null | null | null | from docs_src.handling_errors.tutorial002 import app
from fastapi.testclient import TestClient
client = TestClient(app)
openapi_schema = {
"openapi": "3.0.2",
"info": {"title": "FastAPI", "version": "0.1.0"},
"paths": {
"/items-header/{item_id}": {
"get": {
"responses":... | 33.9 | 86 | 0.405113 | from docs_src.handling_errors.tutorial002 import app
from fastapi.testclient import TestClient
client = TestClient(app)
openapi_schema = {
"openapi": "3.0.2",
"info": {"title": "FastAPI", "version": "0.1.0"},
"paths": {
"/items-header/{item_id}": {
"get": {
"responses":... | true | true |
1c2e318001a9ef9165216d8e65a780d5afcf3532 | 3,618 | py | Python | pycritty/commands/run.py | binRick/pycritty | ae27e61fe597c22e6830d62533e11d64bf06a3ae | [
"MIT"
] | null | null | null | pycritty/commands/run.py | binRick/pycritty | ae27e61fe597c22e6830d62533e11d64bf06a3ae | [
"MIT"
] | null | null | null | pycritty/commands/run.py | binRick/pycritty | ae27e61fe597c22e6830d62533e11d64bf06a3ae | [
"MIT"
] | null | null | null | from typing import Dict, Any, Union
import sys
from pathlib import Path
from .. import PycrittyError
from .command import Command
from ..io import log, yio
from ..resources import config_file, saves_dir
from ..resources.resource import ConfigFile
from rich import print, pretty, inspect
from rich.console import Console
... | 38.084211 | 89 | 0.571034 | from typing import Dict, Any, Union
import sys
from pathlib import Path
from .. import PycrittyError
from .command import Command
from ..io import log, yio
from ..resources import config_file, saves_dir
from ..resources.resource import ConfigFile
from rich import print, pretty, inspect
from rich.console import Console
... | true | true |
1c2e31e4d91019f9a9d7ed49e73b96ac5eae1835 | 1,715 | py | Python | my_classes/ScopesClosuresAndDecorators/.history/Decoraators2_20210716225144.py | minefarmer/deep-Dive-1 | b0675b853180c5b5781888266ea63a3793b8d855 | [
"Unlicense"
] | null | null | null | my_classes/ScopesClosuresAndDecorators/.history/Decoraators2_20210716225144.py | minefarmer/deep-Dive-1 | b0675b853180c5b5781888266ea63a3793b8d855 | [
"Unlicense"
] | null | null | null | my_classes/ScopesClosuresAndDecorators/.history/Decoraators2_20210716225144.py | minefarmer/deep-Dive-1 | b0675b853180c5b5781888266ea63a3793b8d855 | [
"Unlicense"
] | null | null | null | """ Decorator Parametors
In the previous ideos we saw some built-in decorators that can handle some arguments:
@wraps(fn) @lru_cache(maxsize=256) <\
def inner(): def factorial(n): \
... ... \>function call
This should loo... | 27.66129 | 89 | 0.542857 | from symbol import parameters
from time import perf_counter
from unittest import result
def timed(fn):
from time import perf_counter
def inner(*arhs, **kwarrgs):
total_elapse = 0
for i in range(10): nter()
result = fn(*args, **kwargs)
total_elapsed += (perf_cou... | true | true |
1c2e3231607b33d5619c4351426be2731fa7fda7 | 1,272 | py | Python | setup.py | aiven/aiven-db-migrate | e3751aadfc8ad9a011d64ba5dec96118e52c68b2 | [
"Apache-2.0"
] | 10 | 2020-08-03T17:45:18.000Z | 2022-02-18T00:12:17.000Z | setup.py | aiven/aiven-db-migrate | e3751aadfc8ad9a011d64ba5dec96118e52c68b2 | [
"Apache-2.0"
] | 12 | 2020-08-27T15:15:54.000Z | 2022-02-24T16:11:18.000Z | setup.py | aiven/aiven-db-migrate | e3751aadfc8ad9a011d64ba5dec96118e52c68b2 | [
"Apache-2.0"
] | 1 | 2022-01-07T12:00:17.000Z | 2022-01-07T12:00:17.000Z | # Copyright (c) 2020 Aiven, Helsinki, Finland. https://aiven.io/
from importlib.machinery import SourceFileLoader
from setuptools import find_packages, setup
import sys
def get_version():
return SourceFileLoader("version", "aiven_db_migrate/migrate/version.py").load_module().__version__
setup(
author="Aiv... | 29.581395 | 103 | 0.636006 |
from importlib.machinery import SourceFileLoader
from setuptools import find_packages, setup
import sys
def get_version():
return SourceFileLoader("version", "aiven_db_migrate/migrate/version.py").load_module().__version__
setup(
author="Aiven",
author_email="support@aiven.io",
entry_points={
... | true | true |
1c2e3323d8a8bfa2b1d3b5d79d47be08567a9379 | 16,309 | py | Python | heat/engine/parser.py | devcamcar/heat | 0f1bd5d29102318e62b5a10281d809807bd3b163 | [
"Apache-2.0"
] | 1 | 2015-05-11T04:54:30.000Z | 2015-05-11T04:54:30.000Z | heat/engine/parser.py | devcamcar/heat | 0f1bd5d29102318e62b5a10281d809807bd3b163 | [
"Apache-2.0"
] | null | null | null | heat/engine/parser.py | devcamcar/heat | 0f1bd5d29102318e62b5a10281d809807bd3b163 | [
"Apache-2.0"
] | null | null | null | # vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# 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... | 36.981859 | 79 | 0.499785 |
import eventlet
import json
import logging
import sys
from heat.common import exception
from heat.engine import resources
from heat.engine import instance
from heat.engine import volume
from heat.engine import eip
from heat.engine import security_group
from heat.engine import wait_condition
from heat.d... | true | true |
1c2e33aae33d7676078b930aae7d76313c38fcbb | 2,971 | py | Python | main.py | YuhangSong/alley | c20111189d3e83b4a902140361089a7b1d11702a | [
"MIT"
] | null | null | null | main.py | YuhangSong/alley | c20111189d3e83b4a902140361089a7b1d11702a | [
"MIT"
] | null | null | null | main.py | YuhangSong/alley | c20111189d3e83b4a902140361089a7b1d11702a | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
"""Simple example of using Multi-Agent and Hierarchical
(https://ray.readthedocs.io/en/latest/rllib-env.html#multi-agent-and-hierarchical)
from rllib to train an arena environment in ArenaRllibEnv.
"""
import a... | 32.648352 | 96 | 0.685291 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import random
import time
import numpy as np
import ray
from ray import tune
from ray.rllib.utils import try_import_tf
from envs_layer import ArenaRllibEnv
tf = try_import_tf()
parser = arg... | true | true |
1c2e33dd468219d592ebd684a35db138aaa243e7 | 1,078 | py | Python | slow_processing_times/blueprints/processing.py | GeoffreyDlvl/SlowwwwwProcessingTimes | f0e37d11fef6d4922e6c9c8fc68766f29bd21bb4 | [
"MIT"
] | null | null | null | slow_processing_times/blueprints/processing.py | GeoffreyDlvl/SlowwwwwProcessingTimes | f0e37d11fef6d4922e6c9c8fc68766f29bd21bb4 | [
"MIT"
] | null | null | null | slow_processing_times/blueprints/processing.py | GeoffreyDlvl/SlowwwwwProcessingTimes | f0e37d11fef6d4922e6c9c8fc68766f29bd21bb4 | [
"MIT"
] | null | null | null | import time
from flask import (
Blueprint, request, current_app
)
from .. import utils
from ..enums.state_enum import State
from ..blueprints.crack import archives
bp = Blueprint('processing', __name__, url_prefix='/processing')
def some_processing():
print('PROCESSING...')
time.sleep(10)
print('DONE... | 28.368421 | 99 | 0.702226 | import time
from flask import (
Blueprint, request, current_app
)
from .. import utils
from ..enums.state_enum import State
from ..blueprints.crack import archives
bp = Blueprint('processing', __name__, url_prefix='/processing')
def some_processing():
print('PROCESSING...')
time.sleep(10)
print('DONE... | true | true |
1c2e34a3a089e4d5a4555dea0f99551b3b7517cc | 942 | py | Python | apiclient/request_formatters.py | Phonebooth/api-client | c2820fa4c4997aad8a07e408b80a52df4d6c9978 | [
"MIT"
] | 112 | 2019-02-18T15:07:50.000Z | 2022-03-31T07:05:23.000Z | apiclient/request_formatters.py | Phonebooth/api-client | c2820fa4c4997aad8a07e408b80a52df4d6c9978 | [
"MIT"
] | 34 | 2019-02-20T13:32:47.000Z | 2022-01-22T23:09:50.000Z | apiclient/request_formatters.py | Phonebooth/api-client | c2820fa4c4997aad8a07e408b80a52df4d6c9978 | [
"MIT"
] | 23 | 2019-03-15T10:50:03.000Z | 2022-03-17T09:49:21.000Z | import json
from apiclient.utils.typing import OptionalJsonType, OptionalStr
class BaseRequestFormatter:
"""Format the outgoing data accordingly and set the content-type headers."""
content_type = None
@classmethod
def get_headers(cls) -> dict:
if cls.content_type:
return {"Cont... | 23.55 | 80 | 0.680467 | import json
from apiclient.utils.typing import OptionalJsonType, OptionalStr
class BaseRequestFormatter:
content_type = None
@classmethod
def get_headers(cls) -> dict:
if cls.content_type:
return {"Content-type": cls.content_type}
else:
return {}
@classmetho... | true | true |
1c2e34b2c0fc0aca1bbc78728b67afbf95f4a6cd | 6,714 | py | Python | src/python/pants/backend/python/goals/run_pex_binary_integration_test.py | chebbyChefNEQ/pants | a53b9d29a160f36f9af1d1a2c43a693b6a55fa55 | [
"Apache-2.0"
] | 1 | 2016-04-27T15:35:42.000Z | 2016-04-27T15:35:42.000Z | src/python/pants/backend/python/goals/run_pex_binary_integration_test.py | chebbyChefNEQ/pants | a53b9d29a160f36f9af1d1a2c43a693b6a55fa55 | [
"Apache-2.0"
] | null | null | null | src/python/pants/backend/python/goals/run_pex_binary_integration_test.py | chebbyChefNEQ/pants | a53b9d29a160f36f9af1d1a2c43a693b6a55fa55 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
import json
import os
from textwrap import dedent
from typing import Optional
import pytest
from pants.backend.python.target_types import PexExecutionMode
from pants.testutil.pants_integ... | 32.434783 | 97 | 0.545576 |
import json
import os
from textwrap import dedent
from typing import Optional
import pytest
from pants.backend.python.target_types import PexExecutionMode
from pants.testutil.pants_integration_test import PantsResult, run_pants, setup_tmpdir
@pytest.mark.parametrize(
("entry_point", "execution_mode", "includ... | true | true |
1c2e350653f5047348cfa08e90c9d50892d88626 | 318 | py | Python | Practice Problems/13-Decorators/Beginner/test_decorators_beginner.py | vishnu-rvn/PyPractice | 521cf6582b49aabd9a4c1c0aef0dd3608c9ee63b | [
"MIT"
] | 9 | 2018-07-13T16:29:41.000Z | 2018-07-14T14:40:38.000Z | Practice Problems/13-Decorators/Beginner/test_decorators_beginner.py | vishnu-rvn/PyPractice | 521cf6582b49aabd9a4c1c0aef0dd3608c9ee63b | [
"MIT"
] | 11 | 2018-07-15T07:56:57.000Z | 2018-07-21T17:41:13.000Z | Practice Problems/13-Decorators/Beginner/test_decorators_beginner.py | vishnu-rvn/PyPractice | 521cf6582b49aabd9a4c1c0aef0dd3608c9ee63b | [
"MIT"
] | 8 | 2018-07-13T02:37:53.000Z | 2018-07-14T20:36:44.000Z | from unittest import TestCase, TestSuite, TextTestRunner, main
class DecoratorsBeginnerTestCase(TestCase):
pass
def test_one(test_name):
suite = TestSuite()
suite.addTest(DecoratorsBeginnerTestCase(test_name))
runner = TextTestRunner()
runner.run(suite)
if __name__ == "__main__":
main()
| 18.705882 | 62 | 0.732704 | from unittest import TestCase, TestSuite, TextTestRunner, main
class DecoratorsBeginnerTestCase(TestCase):
pass
def test_one(test_name):
suite = TestSuite()
suite.addTest(DecoratorsBeginnerTestCase(test_name))
runner = TextTestRunner()
runner.run(suite)
if __name__ == "__main__":
main()
| true | true |
1c2e35b8dc64792855acbd02758e9d8d72ce1652 | 1,971 | py | Python | test_project/test_project_py3/settings.py | yprez/django-useful | 288aa46df6f40fb0323c3d0c0efcded887472538 | [
"0BSD"
] | 3 | 2015-09-30T09:26:31.000Z | 2019-03-19T05:44:24.000Z | test_project/test_project_py3/settings.py | yprez/django-useful | 288aa46df6f40fb0323c3d0c0efcded887472538 | [
"0BSD"
] | 3 | 2020-02-11T22:13:27.000Z | 2021-06-10T17:40:52.000Z | test_project/test_project_py3/settings.py | yprez/django-useful | 288aa46df6f40fb0323c3d0c0efcded887472538 | [
"0BSD"
] | 1 | 2016-08-08T14:35:02.000Z | 2016-08-08T14:35:02.000Z | # Django settings for test_project project.
DEBUG = True
TEMPLATE_DEBUG = DEBUG
ADMINS = (
# ('Your Name', 'your_email@example.com'),
)
MANAGERS = ADMINS
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': 'test.db',
}
}
TIME_ZONE = 'Etc/UTC'
LANGUAGE_CODE = 'en-u... | 24.333333 | 75 | 0.710299 |
DEBUG = True
TEMPLATE_DEBUG = DEBUG
ADMINS = (
)
MANAGERS = ADMINS
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': 'test.db',
}
}
TIME_ZONE = 'Etc/UTC'
LANGUAGE_CODE = 'en-us'
SITE_ID = 1
STATIC_URL = '/static/'
SECRET_KEY = 't^4dt#fkxftpborp@%lg*#h2wj%vi... | true | true |
1c2e35d4a10895371f644ea4da834848880fabab | 13,265 | py | Python | trove/tests/unittests/common/test_common_extensions.py | zh-f/trove | 4998becb4da14547798cece21858282761409052 | [
"Apache-2.0"
] | 1 | 2017-11-24T10:28:48.000Z | 2017-11-24T10:28:48.000Z | trove/tests/unittests/common/test_common_extensions.py | 2020human/trove-new | 012da9a334bc4e9c7711dc918eea3f011463ec82 | [
"Apache-2.0"
] | null | null | null | trove/tests/unittests/common/test_common_extensions.py | 2020human/trove-new | 012da9a334bc4e9c7711dc918eea3f011463ec82 | [
"Apache-2.0"
] | null | null | null | # Copyright 2013 Hewlett-Packard Development Company, L.P.
# 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... | 41.583072 | 79 | 0.671014 |
from mock import Mock
from mock import patch
from oslo_config.cfg import NoSuchOptError
from trove.common import exception
from trove.common import utils
from trove.extensions.common import models
from trove.extensions.common.service import ClusterRootController
from trove.extensions.common.service imp... | true | true |
1c2e370fce6aba1a51bb9131766055f18fc82eea | 5,979 | py | Python | config/defaults.py | Ehsan-Yaghoubi/my_reid_Pytorch_template | 8b346ad8010084536a7c998107979fab2bff2ca3 | [
"MIT"
] | null | null | null | config/defaults.py | Ehsan-Yaghoubi/my_reid_Pytorch_template | 8b346ad8010084536a7c998107979fab2bff2ca3 | [
"MIT"
] | null | null | null | config/defaults.py | Ehsan-Yaghoubi/my_reid_Pytorch_template | 8b346ad8010084536a7c998107979fab2bff2ca3 | [
"MIT"
] | null | null | null | from yacs.config import CfgNode as CN
# -----------------------------------------------------------------------------
# The following configurations will be modified when they are set in the .yml files.
# Therefore, if you want to your configurations, please create your_costumed.yml file, instead of changing this scri... | 36.907407 | 176 | 0.628366 | from yacs.config import CfgNode as CN
_C = CN()
_C.MODEL = CN()
_C.MODEL.DEVICE = "cuda"
_C.MODEL.DEVICE_ID = '0'
_C.MODEL.NAME = 'resnet50'
_C.MODEL.LAST_STRIDE = 1
_C.MODEL.PRETRAIN_PATH = "set/the/path/in/.yml/file"
_C.MODEL.PRETRAIN_CHOICE = 'imagenet'
_C.MODEL.NECK = 'no'
_C.MODEL.IF_WITH_CENTER = ... | true | true |
1c2e399c351804410c4ec2623c9930aad9d9a7f0 | 15,627 | py | Python | tests/test_refpixel.py | uniomni/PyRate | f77ad6e7fd90f3c0eb255bd553d4666b5db40bcf | [
"Apache-2.0"
] | 1 | 2020-09-12T00:01:33.000Z | 2020-09-12T00:01:33.000Z | tests/test_refpixel.py | uniomni/PyRate | f77ad6e7fd90f3c0eb255bd553d4666b5db40bcf | [
"Apache-2.0"
] | null | null | null | tests/test_refpixel.py | uniomni/PyRate | f77ad6e7fd90f3c0eb255bd553d4666b5db40bcf | [
"Apache-2.0"
] | null | null | null | # This Python module is part of the PyRate software package.
#
# Copyright 2020 Geoscience Australia
#
# 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/... | 38.021898 | 112 | 0.6531 |
import copy
import shutil
from subprocess import check_call, run
from pathlib import Path
import pytest
from numpy import nan, mean, std, isnan
import pyrate.core.refpixel
from pyrate.core import config as cf
from pyrate.core.refpixel import ref_pixel, _step, RefPixelError
from pyrate.core import shared... | true | true |
1c2e39c02248ac535e7f4e4f4f871e156c50c176 | 2,070 | py | Python | ops-tests/feature/test_switch.py | nshinde5486/ansible_2switchtopo | e49a883d385c36bea7b12ff9f38b2f2ac22431f6 | [
"Apache-2.0"
] | null | null | null | ops-tests/feature/test_switch.py | nshinde5486/ansible_2switchtopo | e49a883d385c36bea7b12ff9f38b2f2ac22431f6 | [
"Apache-2.0"
] | null | null | null | ops-tests/feature/test_switch.py | nshinde5486/ansible_2switchtopo | e49a883d385c36bea7b12ff9f38b2f2ac22431f6 | [
"Apache-2.0"
] | null | null | null | # Copyright (C) 2016 Hewlett Packard Enterprise Development LP
#
# 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... | 28.75 | 71 | 0.630435 |
import time
TOPOLOGY = """
#
# +-----------------+ +------------+
# | Ansible | eth0 eth0 | |
# | control machine |-------------| OpenSwitch |
# | (server) | | (switch) |
# +-----------------+ +------------+
#
# ... | true | true |
1c2e3a596f63c8d59e25f4a3ad1f356d75d198af | 280 | py | Python | other/application/windowApp/test/showTestList.py | Ethan7102/FYP | c6560a0b95ad78d5e1a341ab2d93c063e10c6631 | [
"MIT"
] | null | null | null | other/application/windowApp/test/showTestList.py | Ethan7102/FYP | c6560a0b95ad78d5e1a341ab2d93c063e10c6631 | [
"MIT"
] | null | null | null | other/application/windowApp/test/showTestList.py | Ethan7102/FYP | c6560a0b95ad78d5e1a341ab2d93c063e10c6631 | [
"MIT"
] | 1 | 2021-01-23T07:59:57.000Z | 2021-01-23T07:59:57.000Z | import sys
import testList
from PyQt5.QtWidgets import QApplication, QMainWindow
if __name__ == '__main__':
app = QApplication(sys.argv)
MainWindow = QMainWindow()
ui = testList.Ui_MainWindow()
ui.setupUi(MainWindow)
MainWindow.show()
sys.exit(app.exec_()) | 28 | 53 | 0.721429 | import sys
import testList
from PyQt5.QtWidgets import QApplication, QMainWindow
if __name__ == '__main__':
app = QApplication(sys.argv)
MainWindow = QMainWindow()
ui = testList.Ui_MainWindow()
ui.setupUi(MainWindow)
MainWindow.show()
sys.exit(app.exec_()) | true | true |
1c2e3bb30191572e984a79039352c93ea0460f76 | 2,861 | py | Python | LogAnalysis.py | ZeinaKittaneh/LogAnalysis_Udacity | 860651042c0dd5376f23aa478bb37d04c3538641 | [
"Unlicense",
"MIT"
] | null | null | null | LogAnalysis.py | ZeinaKittaneh/LogAnalysis_Udacity | 860651042c0dd5376f23aa478bb37d04c3538641 | [
"Unlicense",
"MIT"
] | null | null | null | LogAnalysis.py | ZeinaKittaneh/LogAnalysis_Udacity | 860651042c0dd5376f23aa478bb37d04c3538641 | [
"Unlicense",
"MIT"
] | null | null | null | #!/usr/bin/env python
import psycopg2
DBNAME = "news"
question1 = "\nWhat are the most popular three articles of all time?\n"
query1 = '''SELECT
title,
COUNT(substr(path, 10)) AS views
FROM
articles
JOIN
log
ON slug = substr(path, 10)
GROUP BY
title
ORDER BY
vi... | 24.042017 | 77 | 0.487941 |
import psycopg2
DBNAME = "news"
question1 = "\nWhat are the most popular three articles of all time?\n"
query1 = '''SELECT
title,
COUNT(substr(path, 10)) AS views
FROM
articles
JOIN
log
ON slug = substr(path, 10)
GROUP BY
title
ORDER BY
views DESC LIMIT 3;'''
... | true | true |
1c2e3c444ff71978eb57327f35fbb39ec72a91ea | 9,081 | py | Python | lib/fast_rcnn/config.py | svebk/py-faster-rcnn | 1d0c40c42930f8e89634c057a0ed902aace395bd | [
"BSD-2-Clause"
] | null | null | null | lib/fast_rcnn/config.py | svebk/py-faster-rcnn | 1d0c40c42930f8e89634c057a0ed902aace395bd | [
"BSD-2-Clause"
] | null | null | null | lib/fast_rcnn/config.py | svebk/py-faster-rcnn | 1d0c40c42930f8e89634c057a0ed902aace395bd | [
"BSD-2-Clause"
] | null | null | null | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
"""Fast R-CNN config system.
This file specifies default config option... | 31.975352 | 91 | 0.689462 |
import os
import os.path as osp
import numpy as np
from easydict import EasyDict as edict
__C = edict()
# Consumers can get config by:
# from fast_rcnn_config import cfg
cfg = __C
#
# Training options
#
__C.TRAIN = edict()
# Scales to use during training (can list multiple scales)
# Each scale is the pix... | true | true |
1c2e3c9b914af797b1b040a129e2c66f74970371 | 1,833 | py | Python | payment_gateway/api/external/sqs_base.py | MayaraMachado/sns_and_sqs_project | 4fcc5bbb5f6841543ea8dda353dd85a43024f683 | [
"MIT"
] | 5 | 2020-06-22T21:29:54.000Z | 2021-11-01T20:12:04.000Z | payment_gateway/api/external/sqs_base.py | MayaraMachado/sns_and_sqs_project | 4fcc5bbb5f6841543ea8dda353dd85a43024f683 | [
"MIT"
] | 5 | 2021-03-30T13:38:15.000Z | 2021-09-22T19:10:27.000Z | payment_gateway/api/external/sqs_base.py | MayaraMachado/sns_and_sqs_project | 4fcc5bbb5f6841543ea8dda353dd85a43024f683 | [
"MIT"
] | null | null | null | import boto3
import logging
from django.conf import settings
class SQSConnection:
def __init__(self):
'''
Instanciação do cliente SQS utilizando boto3;
Returns:
---------
sqs : pyboto3.sqs
Instância sqs.
'''... | 30.04918 | 108 | 0.623568 | import boto3
import logging
from django.conf import settings
class SQSConnection:
def __init__(self):
self.sqs_client = boto3.client(
'sqs',
aws_access_key_id=settings.AWS_ACCESS_KEY_ID,
aws_secret_access_key=settings.AWS_SECRET_ACCESS_KEY,
region_name='us-... | true | true |
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