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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d4e3012192f130bacd64b59da908ea2b11713b9c | 177d7066f6a0326ed937a56174d7e2241653929a | /Array&String/lc868.py | eea41dedfac7e91ebc5f204e43c2ce47e6047543 | [] | no_license | jasonusaco/Leetcode-Practice | 276bcdb62b28806b3d297338882f4b1eef56cc13 | 91dc73202eb9952a6064013ef4ed20dfa4137c01 | refs/heads/master | 2020-07-06T08:29:09.419062 | 2019-10-10T01:43:03 | 2019-10-10T01:43:03 | 202,955,682 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 378 | py | class Solution:
def binaryGap(self, N):
#先求出二进制
binary = bin(N)[2:]
index = -1
res = 0
for i, b in enumerate(binary):
#统计二进制中每个1里左边1的距离
if b == '1':
if index != -1:
res = max(res, i-index)
index = i
... | [
"yangyx@raysdata.com"
] | yangyx@raysdata.com |
276fedffda29631158f74e9252d2a17f64efed33 | 0629fd0d3c1e43022cca1ac8ba4557469a59f8ac | /Python/soar_example.py | 9b643f9bbbc86df264f9739063464eae94c03bda | [] | no_license | Kanaderu/CPS-592_TankSoar_Project | d8b6a1aaf85c9845994a08c7075851025df60035 | f3c408771da4b721f234e387ace54b4345519bcb | refs/heads/master | 2020-04-05T20:15:40.341194 | 2018-11-25T17:03:25 | 2018-11-25T17:03:25 | 157,172,040 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,627 | py | #!/usr/bin/env python2.7
from itertools import product
from os import environ as env, fsync
from subprocess import call, check_output, CalledProcessError, STDOUT
import re
from lib import Python_sml_ClientInterface as sml
# low level Soar functions
def create_kernel():
kernel = sml.Kernel.CreateKernelInCurrentThr... | [
"fand.kanade@gmail.com"
] | fand.kanade@gmail.com |
696d4534570dce824e44730757a075a401e73fef | 75f5343fdde18a99373fdfafcc5eb1669d008479 | /tests/santa/test_configuration.py | 3761069d15c1069b586e0019d7a001640da128fb | [
"Apache-2.0"
] | permissive | BrandwatchLtd/zentral | 5a756bb7fc291bfd17eeff0eebcfe7a2867c5d91 | 4dfc96020ea04eb033369022bd1b1f289dc7e315 | refs/heads/master | 2022-11-17T08:58:09.262613 | 2020-07-15T10:55:31 | 2020-07-15T10:55:31 | 280,380,291 | 0 | 0 | null | 2020-07-17T09:13:48 | 2020-07-17T09:13:48 | null | UTF-8 | Python | false | false | 2,367 | py | from django.test import TestCase
from django.utils.crypto import get_random_string
from zentral.contrib.santa.models import Configuration
class SantaAPIViewsTestCase(TestCase):
def test_local_configuration_url_keys(self):
more_info_url = "https://{}.de".format(get_random_string(34))
file_changes_p... | [
"eric.falconnier@112hz.com"
] | eric.falconnier@112hz.com |
cbfc8eed18ab289f6f73f49da45df553a87c1de3 | dbbdf35bff726681ae34ad08eeda5f30929e2ae9 | /unsupervised_learning/0x01-clustering/7-maximization.py | 626c470c16f6df35773088ad85137dd2057c934c | [] | no_license | jorgezafra94/holbertonschool-machine_learning | 0b7f61c954e5d64b1f91ec14c261527712243e98 | 8ad4c2594ff78b345dbd92e9d54d2a143ac4071a | refs/heads/master | 2023-02-03T20:19:36.544390 | 2020-12-21T21:49:10 | 2020-12-21T21:49:10 | 255,323,504 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,736 | py | #!/usr/bin/env python3
"""
maximization step of GMM
"""
import numpy as np
def maximization(X, g):
"""
* X is a numpy.ndarray of shape (n, d) containing the data set
* g is a numpy.ndarray of shape (k, n) containing the posterior
probabilities for each data point in each cluster
* You may use a... | [
"947@holbertonschool.com"
] | 947@holbertonschool.com |
ea4c1526be67546a9214f20d2e9b316de4de904d | 6b95338390c357a107712aa886b0d75e2a87f482 | /demos/S2Inner.py | 9ba02bbd0c84407603fb787b2588cc82f736bb7d | [
"MIT"
] | permissive | titos-carrasco/Scribbler2-Python | 238236e100741f96fa03d2d91b43f6a949371bf6 | 9cb5264fcd0dc85e1683a0d21ca5d550fec344e1 | refs/heads/master | 2021-10-28T07:09:40.509291 | 2021-10-14T01:59:12 | 2021-10-14T01:59:12 | 34,425,303 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,423 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Test de los elementos internos del S2."""
import time
#from scribbler2.S2Serial import S2Serial
from scribbler2.S2Fluke2 import S2Fluke2
def main():
"""Realiza las pruebas de los elementos internos del S2."""
#robot = S2Serial( "/dev/ttyUSB0" )
robot = S... | [
"titos.carrasco@gmail.com"
] | titos.carrasco@gmail.com |
5e8a32c10154dcef0aec12a0c25bbf53e42efec6 | ae2fb5a4b3f7e504c8e76d11696eefce098b3d0e | /isovar/cli/isovar_main.py | b76c9a0f2f45712ea4aecaed07c1c37e5ed33709 | [
"Apache-2.0"
] | permissive | Saintyven/isovar | bd2eadd064d3b95696286e3f74fe2f87d79ef09b | 6e29348ab6f969b2a5d0417d50784af5900b82fe | refs/heads/master | 2022-04-04T08:38:31.094940 | 2019-10-24T15:58:19 | 2019-10-24T15:58:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,535 | py | # Copyright (c) 2019. Mount Sinai School of Medicine
#
# 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 o... | [
"alex.rubinsteyn@gmail.com"
] | alex.rubinsteyn@gmail.com |
c9b1e188c4c5c23513d1000a647e8acc2d911e48 | 81407be1385564308db7193634a2bb050b4f822e | /the-python-standard-library-by-example/datetime/datetime_time_resolution.py | 2756d71c1095a7fee840f94ad805d1aa5e2e7027 | [
"MIT"
] | permissive | gottaegbert/penter | 6db4f7d82c143af1209b4259ba32145aba7d6bd3 | 8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d | refs/heads/master | 2022-12-30T14:51:45.132819 | 2020-10-09T05:33:23 | 2020-10-09T05:33:23 | 305,266,398 | 0 | 0 | MIT | 2020-10-19T04:56:02 | 2020-10-19T04:53:05 | null | UTF-8 | Python | false | false | 344 | py | #!/usr/bin/env python
# encoding: utf-8
#
# Copyright (c) 2008 Doug Hellmann All rights reserved.
#
"""Time resolution.
"""
__version__ = "$Id$"
#end_pymotw_header
import datetime
for m in [ 1, 0, 0.1, 0.6 ]:
try:
print '%02.1f :' % m, datetime.time(0, 0, 0, microsecond=m)
except TypeError, err:
... | [
"350840291@qq.com"
] | 350840291@qq.com |
9e613e5c2492c04c1f43db6ae750e6594de1561f | b5e4c4e3abb7f87bfd70ecd912810e2562cecdc5 | /section6/venv/Lib/site-packages/flask_jwt_extended/__init__.py | 931262ab70198da20fc600cd3744d800697a01dc | [] | no_license | chandshilpa/flaskapi | a89822707dc02f9c588af04f1f33f82a55b627b3 | 5f229d59d155e68e026566919d292c831ea00ed4 | refs/heads/master | 2022-12-09T10:59:14.563256 | 2019-01-08T17:33:46 | 2019-01-08T17:33:46 | 164,698,842 | 0 | 1 | null | 2022-12-07T16:24:53 | 2019-01-08T17:21:32 | Python | UTF-8 | Python | false | false | 671 | py | from .jwt_manager import JWTManager
from .view_decorators import (
fresh_jwt_required,
jwt_optional,
jwt_refresh_token_required,
jwt_required,
verify_fresh_jwt_in_request,
verify_jwt_in_request,
verify_jwt_in_request_optional,
verify_jwt_refresh_token_in_request,
)
from .utils import (
... | [
"chandsandeep700@gmail.com"
] | chandsandeep700@gmail.com |
0b543a094a0055fa0410ceb17a2d9b02f84c9a10 | cd0987589d3815de1dea8529a7705caac479e7e9 | /webkit/WebKitTools/Scripts/webkitpy/layout_tests/port/google_chrome.py | d77266a204ab4eb2f1c21fa4b5eef67ed1568895 | [
"Apache-2.0",
"BSD-3-Clause"
] | permissive | azrul2202/WebKit-Smartphone | 0aab1ff641d74f15c0623f00c56806dbc9b59fc1 | 023d6fe819445369134dee793b69de36748e71d7 | refs/heads/master | 2021-01-15T09:24:31.288774 | 2011-07-11T11:12:44 | 2011-07-11T11:12:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,651 | py | #!/usr/bin/env python
# Copyright (C) 2010 Google Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, th... | [
"sdevitt@rim.com"
] | sdevitt@rim.com |
101a28b6934b742d76e6b136b51043e90f5f8fd1 | a16100795f1e965c6084043599ca7c99417c2bc3 | /RealSenseSDK/PointCloud.py | 9dfa7a373445d810602c3cfb2e9e54d03b5cb6f1 | [
"MIT"
] | permissive | cutz-j/AR-project | 5f8d625bcd36ab3958f2d020a882035ffe296ddf | 50d4f407a4f2c42e12bf2bcd54c436df6fa3c9fa | refs/heads/master | 2020-05-25T20:12:57.421200 | 2019-06-21T09:56:14 | 2019-06-21T09:56:14 | 187,969,985 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 410 | py | ### point cloud API ###
import pyrealsense2 as rs
import numpy as np
pc = rs.pointcloud()
points = rs.points()
pipeline = rs.pipeline()
pipeline.start()
try:
frames = pipeline.wait_for_frames()
depth = frames.get_depth_frame()
color = frames.get_color_frame()
pc.map_to(color)
points = p... | [
"cutz309@gmail.com"
] | cutz309@gmail.com |
bfbaa6f7cf309e1b1e508871989aa6c9430438fe | 9e41adf86b2c166a219f0b6d9371089c5f2d7d93 | /Exerciciospython2/Função 02/e101.py | 47944fcb153f871c3bbd159866248090a3a69132 | [] | no_license | Nadirlene/Exercicios-python | 1aaead61dd0efcb5303f6294e765e9e1d54506cc | 3fe82e166003922ef749756a249840ed1fe940b0 | refs/heads/main | 2022-12-25T21:35:06.172839 | 2020-09-28T15:08:37 | 2020-09-28T15:08:37 | 299,343,047 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 384 | py | def voto(ano):
from datetime import date
idade = date.today().year - ano
print(f'Com {idade} anos: ', end='')
if 16 <= idade < 18 or idade >= 65:
return f'VOTO FACULTAVIO.'
elif 18 <= idade < 65:
return f'VOTO OBRIGATÓRIO.'
else:
return 'NÃO VOTA'
anoNascimento = int(in... | [
"nadirleneoliveira@yahoo.com"
] | nadirleneoliveira@yahoo.com |
5ea8a4aa18c53efa84fed48b0f5e63616cbd6945 | d305e9667f18127e4a1d4d65e5370cf60df30102 | /tests/st/ops/gpu/test_tensoradd.py | 01718814364f78d0985a4197311e43e63b9eaecd | [
"Apache-2.0",
"MIT",
"Libpng",
"LicenseRef-scancode-proprietary-license",
"LGPL-2.1-only",
"AGPL-3.0-only",
"MPL-2.0-no-copyleft-exception",
"IJG",
"Zlib",
"MPL-1.1",
"BSD-3-Clause",
"BSD-3-Clause-Open-MPI",
"MPL-1.0",
"GPL-2.0-only",
"MPL-2.0",
"BSL-1.0",
"LicenseRef-scancode-unknow... | permissive | imyzx2017/mindspore_pcl | d8e5bd1f80458538d07ef0a8fc447b552bd87420 | f548c9dae106879d1a83377dd06b10d96427fd2d | refs/heads/master | 2023-01-13T22:28:42.064535 | 2020-11-18T11:15:41 | 2020-11-18T11:15:41 | 313,906,414 | 6 | 1 | Apache-2.0 | 2020-11-18T11:25:08 | 2020-11-18T10:57:26 | null | UTF-8 | Python | false | false | 4,455 | py | # Copyright 2019 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 agreed to... | [
"513344092@qq.com"
] | 513344092@qq.com |
d1094ebebfbee9395ef571ae2d01cecbd38179dc | cf6bfafdc3d897589373e3577b329cd96897d4e1 | /apps/operation/models.py | cfcb7cbe7808bfb1d3066bb20ef42218306f40ec | [] | no_license | ChenxiiCheng/Django-online-edu | b6911a348875d60fb50903b9a9d9296c115adbb5 | 2b2894703ce4711e562c5ad7a7474b811e8f8ba0 | refs/heads/master | 2022-12-12T09:18:41.241698 | 2019-09-08T22:06:48 | 2019-09-08T22:06:48 | 176,599,775 | 2 | 0 | null | 2022-11-22T03:29:32 | 2019-03-19T21:17:57 | Python | UTF-8 | Python | false | false | 2,439 | py | # _*_ encoding: utf-8 _*_
from __future__ import unicode_literals
from datetime import datetime
from django.db import models
from users.models import UserProfile
from courses.models import Course
# Create your models here.
class UserAsk(models.Model):
name = models.CharField(max_length=20, verbose_name=u"姓名")... | [
"chenxic1011@gmail.com"
] | chenxic1011@gmail.com |
f1c7a7587cc5690b153486597dd9c1be1b8956ba | c4bcb851c00d2830267b1997fa91d41e243b64c2 | /cluster_images.py | 35709d61e209942a6a2109e6c05762d9f84199a9 | [] | no_license | tjacek/cluster_images | 5d6a41114a4039b3bdedc34d872be4e6db3ba066 | 8c660c69658c64c6b9de66d6faa41c92486c24c5 | refs/heads/master | 2021-01-23T21:01:17.078036 | 2018-06-07T14:33:50 | 2018-06-07T14:33:50 | 44,881,052 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 791 | py | import utils.imgs,utils.files,utils.conf
import select_imgs
import select_imgs.clustering
import select_imgs.tools
import numpy as np
import cv2
import utils.dirs
from preproc import select_extractor
def cluster_images(conf_path):
in_path=conf_path['img_path']
out_path=conf_path['cls_path']
data=utils.imgs... | [
"tjacek@student.agh.edu.pl"
] | tjacek@student.agh.edu.pl |
130ffc81e3401c1ab8dfab39d856f564ee030543 | ab9196b6356e3c0af7baf7b768d7eb8112243c06 | /Python&DataBase/5.20/HW02Pandas02_15_JoConfirmStep02_김주현.py | c85ff712a6b2d518456ae9073763738c5970a386 | [] | no_license | wngus9056/Datascience | 561188000df74686f42f216cda2b4e7ca3d8eeaf | a2edf645febd138531d4b953afcffa872ece469b | refs/heads/main | 2023-07-01T00:08:00.642424 | 2021-08-07T02:10:25 | 2021-08-07T02:10:25 | 378,833,144 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,322 | py |
import random
while True:
user_name = []
number = []
user_name = input('4인 이상의 이름을 입력하세요 : ').split()
if len(user_name) < 4:
print('^ 명수를 확인하세요.')
continue
elif len(user_name) >= 4:
while True:
num = random.randint(1,len(user_name))
if num not in number:
number.append(num)
else:
continue
... | [
"noreply@github.com"
] | wngus9056.noreply@github.com |
ec1ac6043b0b3334fd1d49469b9b8af4b9d71759 | c1eb69dc5dc5b83d987d1bda0bd74a2d7d912fdf | /core/migrations/0019_set_contact_email.py | e89fc8ac2a99c28523f168f9793f3b9850b731af | [
"MIT"
] | permissive | CIGIHub/opencanada | 47c4e9268343aaaf0fe06b62c1838871968a0b87 | 6334ff412addc0562ac247080194e5d182e8e924 | refs/heads/staging | 2023-05-07T16:02:35.915344 | 2021-05-26T18:10:09 | 2021-05-26T18:10:09 | 36,510,047 | 8 | 2 | MIT | 2020-07-06T14:22:09 | 2015-05-29T14:43:28 | Python | UTF-8 | Python | false | false | 559 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
def set_email(apps, schema_editor):
SiteDefaults = apps.get_model('core', 'SiteDefaults')
defaults = SiteDefaults.objects.all()
for default_settings in defaults:
default_settings.contact_ema... | [
"csimpson@cigionline.org"
] | csimpson@cigionline.org |
817af0ffbe1077dcda4a8022e6a061efe8ff6905 | d68a5968315ac482ed2cf334c054c685f0d34694 | /PostgreSQLConnection.py | f6c3de681bb6443a772ba7411d953af11d33f1a5 | [] | no_license | stixaw/PythonScripts | 2aad71992d275cd5835715e51f970370a756aebc | 04d0f8f538f76a82ae711de3db80c5e626d95cf1 | refs/heads/master | 2021-04-28T12:57:55.642316 | 2020-10-08T16:02:22 | 2020-10-08T16:02:22 | 122,090,737 | 0 | 0 | null | 2018-02-20T19:18:39 | 2018-02-19T16:37:19 | Python | UTF-8 | Python | false | false | 686 | py | import psycopg2
def connPostgreSQL():
try:
conn = psycopg2.connect(database="dvdtwo", user = "postgres", password = "p@ssword", host = "127.0.0.1", port = "5432")
print("Opened connection successfully")
#conn.close()
#print("Connection Closed")
except:
print("Connection failed")
return conn
... | [
"noreply@github.com"
] | stixaw.noreply@github.com |
b84026150a3cf4aeffc7ecda6f05ba4987ddbaa1 | fe8c1ce22f2a8dac1abdba5d51732b6307468614 | /djimix/people/departments.py | 1f5a4d839ad3dba8e470377dd41861dcbb8f6c9c | [
"MIT"
] | permissive | carthage-college/django-djimix | 27a6697d118632c1737eec3f03189caa8e2b255a | 69b3a08498fd4ed055a3808c8bf41a3a8590b33a | refs/heads/master | 2023-03-04T04:58:44.178564 | 2023-02-24T17:57:41 | 2023-02-24T17:57:41 | 196,456,967 | 0 | 0 | MIT | 2023-02-24T17:58:22 | 2019-07-11T19:55:52 | Python | UTF-8 | Python | false | false | 3,885 | py | from django.conf import settings
from django.core.cache import cache
from djimix.core.database import get_connection, xsql
from djimix.sql.departments import (
ACADEMIC_DEPARTMENTS, ALL_DEPARTMENTS,
DEPARTMENT_FACULTY, DEPARTMENT_DIVISION_CHAIRS,
FACULTY_DEPTS, PERSON_DEPARTMENTS, STAFF_DEPTS,
)
from colle... | [
"plungerman@gmail.com"
] | plungerman@gmail.com |
087cbf47038b4d8d2209b39286d9880293cb0319 | 226a6846a5f607d49cbd1069554bb6cf7fd19e4e | /castpage/urls.py | 7ca24505a53c9fc77d07303c13aa6213a2c9852b | [
"MIT"
] | permissive | flyinactor91/Rocky-Rollcall | 8b699b9798e09771c8c42dccd1ef5e66799077d0 | ab2bdbbd5f5920e709a09d1b1182a388955211d9 | refs/heads/master | 2018-12-19T11:05:00.645811 | 2018-11-26T20:46:43 | 2018-11-26T20:46:43 | 120,975,249 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 687 | py | """
Castpage URL patterns
"""
from django.urls import path
from castpage import views
_s = '<slug:slug>/'
urlpatterns = [
path('new', views.cast_new, name='cast_new'),
path('<slug:slug>', views.cast_home, name='cast_home'),
path(_s+'events', views.CastEvents.as_view(), name='cast_events'),
path(_s+'m... | [
"michael@mdupont.com"
] | michael@mdupont.com |
440c0fcde2199962b0ea0cab69120ec84aaad8e8 | ec56f8b58b2f0fb0161d43b0ee5017e37ec19168 | /data/gerar_model.py | 84bf3237686216a578dc795aa00320c17d96b041 | [] | no_license | oturing/django-ibge | 3d423dd87c4a32438c6223d2b395f3706394c882 | 483415104a38b7af337cf865d677fbe57149c5be | refs/heads/master | 2021-01-17T06:01:36.373512 | 2012-05-31T14:10:28 | 2012-05-31T14:10:28 | 5,974,268 | 4 | 3 | null | null | null | null | UTF-8 | Python | false | false | 872 | py |
import pickle
from analisar_dbf import Campo
campos = pickle.load(open('campos.pickle'))
CABECALHO = '''\
from django.db import models
class Localidade(models.Model):'''
print CABECALHO
for campo in campos:
if campo.nome in ['id', 'gmrotation']:
continue # ignorar estes campos
params = [('db_in... | [
"luciano@ramalho.org"
] | luciano@ramalho.org |
d1815db80aef29624e780261e5d6d57873523529 | 79f4a01edbb21797e10f9cb9445a040cc02031d6 | /exercise/test0822/test.py | 177a49dc07cf6252eef1baca82a69f955f6c91de | [] | no_license | sangmain/ai_study | 28c8f35c4b9fe0041623ca6f84c735841e8c5410 | 1468465ca9afd17aa252302d51785d2ad46f77df | refs/heads/master | 2020-06-25T22:49:21.275481 | 2019-09-25T00:45:01 | 2019-09-25T00:45:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,046 | py | import numpy as np
x_train = [
[1,2,3,4,5,None, None, None, 9, 10, 11],
[2,3,4,5,6, None, None, None, 10, 11, 12],
[50,51,52,53,54, None, None, None, 58, 59, 60]]
y_train = [[6, 7, 8], [7,8,9], [55, 56, 57]]
x_test = [[35,36,37,38,39, None, None, None, 43, 44, 45]]
x_train = np.array(x_train)
y_train = n... | [
"sangmin99554@naver.com"
] | sangmin99554@naver.com |
2538c820a3db075d877932f6f53496dd54d351ff | a5b563bc83fce5a652a01dd3b07550cb53e54ea3 | /NLP/hw09_solution.py | 2a851fa0d9acb3d36e894c12a123ca948812cdff | [] | no_license | ljc19800331/HW_Python | d89b38ced5476453f5a0ae98752c7cd34bf351c0 | 08a503b57f48e306bb3898f3c31785144b96e0cb | refs/heads/master | 2020-03-27T06:42:09.504267 | 2018-11-28T21:32:40 | 2018-11-28T21:32:40 | 146,128,422 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,272 | py | import nltk
from nltk.corpus import brown
from collections import Counter
from collections import defaultdict
import numpy as np
from scipy import spatial
import heapq
import operator
def get_tf(training_category):
# get the term-sentence matrix
training_category = ['reviews']
brown.sents(categories=train... | [
"maguangshen@gmail.com"
] | maguangshen@gmail.com |
aeef4dd6a80bdeda9629ce16b48ec061db566b4e | 807022b4aebd9c4b2e8b0f5b7c209cf21c697381 | /ocr_structuring/core/utils/extract_charges/row.py | 965b8aa187f50f7f80e4f24e48367f2b85adb24e | [] | no_license | imfifc/myocr | 4abc5480222f4828072857fbb84236f4a494b851 | 71ba56084aabfa8b07ddc1842bcac5cdbd71212c | refs/heads/master | 2022-12-13T13:04:51.488913 | 2020-09-02T09:07:09 | 2020-09-02T09:07:09 | 292,232,085 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 960 | py | from .classifier import ContentClassifier
class Row:
def __init__(self, labels):
self.labels = labels
self.names = []
self.amounts = []
self.quantities = []
def __len__(self):
return len(self.labels)
def __getitem__(self, i):
return self.labels[i]
def... | [
"1193690571@qq.com"
] | 1193690571@qq.com |
f435657d504d329ce57f523c62af0e888cff7846 | 482c670a1885d4058909d817b1b20904eedb09c6 | /python_web_auto/zuoye/BBS_001_postpage.py | c833e15fab0146627e65635c2174d174db602933 | [] | no_license | qiaoxu1123/python-auto | 13bddeafd3832dc9c28f39ab9fa2343d23fd3dd0 | 15bfc1aaedbbdf7a00f03cd3552ed8e7b30eabdc | refs/heads/master | 2020-04-02T16:10:15.862150 | 2018-11-04T07:27:51 | 2018-11-04T07:27:51 | 154,601,297 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 694 | py | from pageobjects.base import BasePage
from selenium.webdriver.common.by import By
import time
class PostPage(BasePage):
# 帖子标题
post_page_input_title_loc = (By.NAME, 'subject')
# 帖子内容
post_page_input_neirong_loc = (By.ID, 'fastpostmessage')
# 点击发表帖子
post_page_button_fabiao_loc = (By.CSS_SELECTOR, '#... | [
"you@example.com"
] | you@example.com |
f4060636d462c80c2307eb30017d339f36c3ecb7 | 7d1100d44207ac14df50e3f49a99acf1fa996528 | /run_experiments_crawl_batch_size.py | 54e1187c27911eca06e16defe28fff9f0b97b194 | [] | no_license | Tribler/trustchain-simulator-pysim | 09b07cc21c5495212024a9a1f6b131a7cc7f7356 | bf7a72545a7353d2d03a4d9129c291c8a5204088 | refs/heads/master | 2023-03-28T07:07:39.802436 | 2021-03-22T14:23:06 | 2021-03-22T14:23:06 | 288,008,573 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 831 | py | from multiprocessing.context import Process
from simpy import Environment
from chainsim.settings import SimulationSettings
from chainsim.simulation import TrustChainSimulation
def run(settings):
env = Environment()
simulation = TrustChainSimulation(settings, env)
simulation.run()
if __name__ == "__mai... | [
"mdmartijndevos@gmail.com"
] | mdmartijndevos@gmail.com |
243a8404e4029008f3ed83b6c3e5561f188738f8 | 5f22ddbd3eeb99709e43e7b9a7958c9987c7efa4 | /interview_bits/level_2/02_binary_search/04_sort_modification/02_median-of-array.py | ab6a2a7a309107255a263a9c35ce8f03a2d03ae7 | [] | no_license | salvador-dali/algorithms_general | 04950bd823fc354adc58a4f23b7d2f3d39664798 | aeee3356e2488c6fab08741b1ac26e8bd5e4ac0d | refs/heads/master | 2020-12-14T06:24:10.466601 | 2016-07-17T06:00:17 | 2016-07-17T06:00:17 | 47,397,457 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,284 | py | arr1 = [1, 4, 5]
arr2 = [2, 3, 3, 4]
def median2(a, b):
return (a + b) / 2.
def median3(a, b, c):
return sorted([a, b, c])[1]
def median4(a, b, c, d):
tmp = sorted([a, b, c, d])
return (tmp[1] + tmp[2]) / 2.
def findMedianUtil(A, N, B, M):
if N == 0:
m = len(B)
if m % 2:
... | [
"dmytro@knowlabs.com"
] | dmytro@knowlabs.com |
a533f41096fc2311071c9d2b0730cea7ec89c9c0 | 6b2a8dd202fdce77c971c412717e305e1caaac51 | /solutions_5688567749672960_1/Python/CuteCube/main.py | a9c97f12149c22ac7839f1632376963a5b5b356b | [] | no_license | alexandraback/datacollection | 0bc67a9ace00abbc843f4912562f3a064992e0e9 | 076a7bc7693f3abf07bfdbdac838cb4ef65ccfcf | refs/heads/master | 2021-01-24T18:27:24.417992 | 2017-05-23T09:23:38 | 2017-05-23T09:23:38 | 84,313,442 | 2 | 4 | null | null | null | null | UTF-8 | Python | false | false | 898 | py | #!/usr/bin/env python
def main():
f = open('input.txt', 'r')
total_T = int(f.readline())
for T in xrange(1,total_T+1):
N = int(f.readline().rstrip('\n'))
# print find_speed(M)
print 'Case #{}: {}'.format(T, resolve(N))
def resolve(N):
n_str = [x for x in str(N)]
# print n_str
if len(n_str) == 1:
... | [
"eewestman@gmail.com"
] | eewestman@gmail.com |
f7566929bf81ce7f554a012545d6233b231f2e4c | 79732bc2534f8ba4b6cf4cf05caf3270b35d6384 | /miseq_portal/minion_uploader/models.py | b062b5f1072b00cbd0d65cf6575f3047bdfa3b3b | [
"MIT"
] | permissive | BFSSI-Bioinformatics-Lab/miseq_portal | 15e5f46caf985246315815b848c01737a255eacd | a70ad378c093bbbfa54645e511fe76280e115859 | refs/heads/master | 2023-06-10T20:38:55.361444 | 2022-03-03T15:38:20 | 2022-03-03T15:38:20 | 143,023,632 | 0 | 0 | MIT | 2023-05-25T17:06:17 | 2018-07-31T14:13:15 | Python | UTF-8 | Python | false | false | 278 | py | from chunked_upload.models import ChunkedUpload
# 'ChunkedUpload' class provides almost everything for you.
# if you need to tweak it little further, create a model class
# by inheriting "chunked_upload.models.AbstractChunkedUpload" class
ZippedMinIONRunUpload = ChunkedUpload
| [
"forest.dussault@canada.ca"
] | forest.dussault@canada.ca |
64b0846893130a46190ac9a705ebc9a75cb718de | fd25231975acd147e04dc3ed3627c92cb1a4f86c | /FlaskAPI/vir_env/lib/python3.7/site-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py | f9f8fd2d4c5e28133e22737a8b09951bcb2968a8 | [] | no_license | sumitkutty/Flight-Price-Prediction | 832a2802a3367e655b46d3b44f073d917abd2320 | d974a8b75fbcbfa42f11703602af3e45a3f08b3c | refs/heads/master | 2022-12-25T07:13:06.375888 | 2020-10-08T18:46:44 | 2020-10-08T18:46:44 | 302,366,725 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 130 | py | version https://git-lfs.github.com/spec/v1
oid sha256:bd2fc56e80fc6d351161ebebeb5183299b8aacd69a54064626b1df6e4e5331c9
size 29989
| [
"sumitkutty37@gmail.com"
] | sumitkutty37@gmail.com |
ae96c95eac692a1e7964bf6801acd1cdc6fd7b4e | 933f3d61b6cbb9d3b3a6dde701fbb48981e49ce8 | /callback/optimizater/ralars.py | 5ed529186ee45b55a7ea1fa2326c24a378317175 | [
"MIT"
] | permissive | lonePatient/BERT-NER-Pytorch | 81a898bf90fab28f7574bab6ea7257ff52650bc4 | 7c938a2ded28d8d379fef1879e07da08df5a1eb8 | refs/heads/master | 2023-03-17T13:27:04.139577 | 2023-03-11T03:14:55 | 2023-03-11T03:14:55 | 170,256,148 | 1,928 | 428 | MIT | 2022-07-18T08:17:59 | 2019-02-12T05:12:07 | Python | UTF-8 | Python | false | false | 5,124 | py | import math
import torch
from torch.optim.optimizer import Optimizer
class RaLars(Optimizer):
"""Implements the RAdam optimizer from https://arxiv.org/pdf/1908.03265.pdf
with optional Layer-wise adaptive Scaling from https://arxiv.org/pdf/1708.03888.pdf
Args:
params (iterable): iterable... | [
"1436496575@qq.com"
] | 1436496575@qq.com |
56c2e6045964d84f02ee669fd2ffa251f599ea78 | 7ed22d30256fe955b070fb0b6838ad2c507f48ba | /bench/bench_binary_vs_http.py | 709bd25a2f7505414e82fe880076ce6cfdbbe8ba | [] | no_license | coleifer/kt | 9c55339053fb7deb595f7d7bc4fb032e927e29c4 | c1d50484ab1c0a80d502cc857265a2d5362f431d | refs/heads/master | 2023-07-07T17:12:34.745629 | 2023-06-23T23:21:10 | 2023-06-23T23:21:10 | 128,153,979 | 20 | 3 | null | null | null | null | UTF-8 | Python | false | false | 2,922 | py | #!/usr/bin/env python
"""
Benchmark script to measure time taken to read, write and delete using the
binary protocol and HTTP protocol.
"""
import os, sys
sys.path.insert(0, os.path.dirname(os.path.dirname(__file__)))
import contextlib
import time
from kt import *
server = EmbeddedServer(quiet=True)
server.run()
d... | [
"coleifer@gmail.com"
] | coleifer@gmail.com |
386b3bc30aca55f030b6bdd3ab16c9f190343c1f | feb1f6eb4a9ba625f82c4460b07cfd0d93995cef | /app/timer/models/utils.py | 0aa5b63ffd456c6687fdec44b64d777007f84d8f | [
"BSD-3-Clause"
] | permissive | nikdoof/limetime | c514f2612baeaf40161a766ab9a10766d9593974 | be15e7bede21dfd4db5ad3fcecc1d385e89a06c7 | refs/heads/master | 2016-09-05T19:56:23.442175 | 2014-04-10T07:32:27 | 2014-04-10T07:32:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,275 | py | import django
from django.db.models.query import QuerySet
from django.db.models.fields.related import OneToOneField
from django.core.exceptions import ObjectDoesNotExist
try:
from django.db.models.constants import LOOKUP_SEP
except ImportError: # Django < 1.5
from django.db.models.sql.constants import LOOKUP_S... | [
"andy@tensixtyone.com"
] | andy@tensixtyone.com |
be5a002e6baf0803a2f64e95e737f83c75e29c9e | c0452806977529ea1e94b8c50cb513a71708cd7d | /prework_app/urls.py | 9a52c4494841b1a4589f687d16b9f94d11e740b3 | [] | no_license | carter3689/django-demo | ff08cfa3d55b101297b31f6bb60b6585cdb1e4dc | 9e548268de311d848fe23062d240f6eb8d64d165 | refs/heads/master | 2021-01-22T10:26:16.545024 | 2017-05-29T08:16:03 | 2017-05-29T08:16:03 | 92,645,100 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 281 | py | from django.conf.urls import url
from prework_app.views import IndexView,users,form_name_view,UserView
app_name = 'prework_app'
urlpatterns = [
url(r'^$',form_name_view, name='form_view'),
url(r'^$',users,name = 'users'),
url(r'^$', UserView.as_view(), name='user')
]
| [
"carter3689@gmail.com"
] | carter3689@gmail.com |
ec5c3906a42b94a5c4c10e5b9e6f525b4290f75b | d733778f08c8929bbe6ac5a712aee637ba9f076b | /plot.py | 2babdcc46fac15ddad9bda6dea3340adf0889061 | [] | no_license | dheeraj7596/Coarse2Fine | 33d7f2ae409b64396f5eb0dd9359289dfebc78c2 | 251142b2e704e595e664031f5a469ebad6de8333 | refs/heads/master | 2023-06-24T02:24:35.810100 | 2021-07-18T06:27:06 | 2021-07-18T06:27:06 | 282,985,036 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 584 | py | import json
import matplotlib.pyplot as plt
if __name__ == "__main__":
basepath = "/Users/dheerajmekala/Work/Coarse2Fine/data/"
# basepath = "/data4/dheeraj/coarse2fine/"
dataset = "nyt/"
pkl_dump_dir = basepath + dataset
plot_dump_dir = pkl_dump_dir + "plots/"
all_sims = json.load(open(pkl_du... | [
"dheeraj7596.dm@gmail.com"
] | dheeraj7596.dm@gmail.com |
27ed2d04fc75705562acaaaa4407c4cd210a2a50 | 9de63f25656bd8984de6765bc96356bcfd8ff0ed | /example/example.py | 104e3978bb04d80c78abbab3f8098eae814a8cb8 | [
"MIT"
] | permissive | asdlei99/easyyaml | 636da05d62ee710b1ef3d9d42d8af4e84cc0269e | 1c73e4f26ffa6d26f8594a58f09c85a48525c3e2 | refs/heads/master | 2023-01-05T06:47:38.534799 | 2020-11-02T11:23:17 | 2020-11-02T11:23:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 289 | py | import easyyaml as eyaml
def main():
yd = eyaml.load(eyaml.__test_yaml_file__)
for _ in range(4):
yd.list.pop()
yd.name = "this_is_a_simple_example_of_eyaml"
eyaml.save(eyaml.__temp_yaml_file__, yd)
eyaml.show(yd)
if __name__ == '__main__':
main()
| [
"dfzspzq@163.com"
] | dfzspzq@163.com |
7d8b107ffe66bba742fa052e3d32ce83209b8d1a | ed5961c9a3ae027a37913047bd149296955a7497 | /block_zoo/encoder_decoder/SLUDecoder.py | ae7cc6898afa9fc93874c260f6b132fcd48fb0e7 | [
"MIT",
"BSD-3-Clause",
"LGPL-2.1-or-later",
"GPL-3.0-only",
"Apache-2.0"
] | permissive | microsoft/NeuronBlocks | c3de6b1afc431521e70c04ce82b54e7a3292f3aa | 47e03e09589e86d16c609511bf875bd3e3ff3a3e | refs/heads/master | 2023-08-30T08:51:20.228137 | 2022-11-28T19:10:10 | 2022-11-28T19:10:10 | 181,388,576 | 1,308 | 195 | MIT | 2023-07-22T03:07:56 | 2019-04-15T01:01:24 | Python | UTF-8 | Python | false | false | 7,519 | py | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT license.
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
import copy
import numpy as np
from block_zoo.BaseLayer import BaseLayer, BaseConf
#from layers.EncoderDecoder import En... | [
"shoulinjun@126.com"
] | shoulinjun@126.com |
d95771d977993f3bd9d4c4741a0cf9b9de3ed8d1 | f3b233e5053e28fa95c549017bd75a30456eb50c | /mcl1_input/L67/67-53_wat_20Abox/set_1ns_equi_m.py | db06e4e954d0b1dc8af42c0450c5982ca84ec1a2 | [] | no_license | AnguseZhang/Input_TI | ddf2ed40ff1c0aa24eea3275b83d4d405b50b820 | 50ada0833890be9e261c967d00948f998313cb60 | refs/heads/master | 2021-05-25T15:02:38.858785 | 2020-02-18T16:57:04 | 2020-02-18T16:57:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 923 | py | import os
dir = '/mnt/scratch/songlin3/run/mcl1/L67/wat_20Abox/ti_one-step/67_53/'
filesdir = dir + 'files/'
temp_equiin = filesdir + 'temp_equi_m.in'
temp_pbs = filesdir + 'temp_1ns_equi_m.pbs'
lambd = [ 0.00922, 0.04794, 0.11505, 0.20634, 0.31608, 0.43738, 0.56262, 0.68392, 0.79366, 0.88495, 0.95206, 0.99078]
for j... | [
"songlin3@msu.edu"
] | songlin3@msu.edu |
a5bc0568e7686a75b26eb37df77e0759c8b474c1 | 97249b5f3b0054ccb7e61b211c525af7e9842f48 | /clickpost/models.py | 68bae3ce86d2f60107467bf25d149d7e2665b78c | [] | no_license | itssonamsinha/testing2 | ebaf88b7c30c8d9bd995e0eac687c8650c3ebc83 | 8800baf8cf3dd5bbfc97959bab0a2c1a674c7587 | refs/heads/master | 2021-03-15T06:12:24.921359 | 2020-03-18T07:42:16 | 2020-03-18T07:42:16 | 246,830,372 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,518 | py | import abc
import datetime
import json
from django.contrib import admin
from django.db import models
from clickpost.rabbitmq_client import publish_message
class User(models.Model):
name = models.CharField(max_length=500, blank=False, null=False)
phone_number = models.CharField(max_length=10, blank=False, nul... | [
"sonamsinha@policybazaar.com"
] | sonamsinha@policybazaar.com |
0ad139fdf5102479fa5fdc4113f6187c844323da | 0d61f90e3a7877e91d72fed71b0895c7070dc046 | /final_project/.history/project/menu_app/views_20201231151708.py | 7f07a804f6036b814055d3102e0b627ccb9fec5b | [] | no_license | lienusrob/final_project | 44d7d90dc0b7efc0cf55501549a5af0110d09b3b | 4164769626813f044ec2af3e7842514b5699ef77 | refs/heads/master | 2023-02-10T16:36:33.439215 | 2021-01-05T09:34:01 | 2021-01-05T09:34:01 | 325,002,104 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,277 | py |
from .models import MenuItem, ItemsCategory, Order, generate_order_id
from account_app.models import Profile
from django.views.generic import ListView
from django.shortcuts import render, get_object_or_404
class MenuListView(ListView):
model = MenuItem
template_name = 'items/menu_list.html'
def menu_list... | [
"lienus.rob@hotmail.de"
] | lienus.rob@hotmail.de |
2aa563507ebf8be9aecab0a02d27c354241c9752 | 511bec356e4126cc4d102f770d80ba62571b1402 | /test-integration/speed_test.py | e0c3f00788293a38b59f80f9558fe94901684af0 | [
"MIT"
] | permissive | GrantMcConachie/NP-Classifier | 09999dc2d2a24ebe40b320e6c43269c311865d02 | 7e4e2001a1416b96968240650dc7d70f1275fdb5 | refs/heads/master | 2023-08-20T23:26:54.176839 | 2021-10-31T21:41:11 | 2021-10-31T21:41:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 924 | py | import pandas as pd
import urllib.parse
import requests
from tqdm import tqdm
import grequests
import time
#SERVER_URL = "http://localhost:6541"
SERVER_URL = "http://dorresteintesthub.ucsd.edu:6541"
#SERVER_URL = "http://npclassifier.ucsd.edu:6541"
def test_speed():
df = pd.read_csv("test.tsv", sep=",")
iter... | [
"mwang87@gmail.com"
] | mwang87@gmail.com |
119faacc38c84726924f3d8fa5ac47869128fd91 | 0cf7f887cc778b3cce1c6e60aceafccac41664f2 | /Skyend_server/skyend_configs/views/UnidadMedidaView.py | 7efd54e2595e3575e346f1979d7f7bd9ad0ee34d | [
"Apache-2.0"
] | permissive | upeuapps/skyend | 08398110ac0e65f14945d41796d9921d5185916b | 9f5d9752d4965a58ceefbdcb4eace224d7246832 | refs/heads/master | 2021-01-10T02:06:27.719998 | 2015-12-21T20:37:44 | 2015-12-21T20:37:44 | 48,392,757 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,235 | py | from django.shortcuts import render
from django.conf.urls import url, include
from django.contrib.auth.models import User
from rest_framework import routers, serializers, viewsets
from rest_framework import permissions
from ..models.UnidadMedida import UnidadMedida
from ..utils import SetPagination
from django.db.model... | [
"asullom@gmail.com"
] | asullom@gmail.com |
f1047d2ce99a22b134545d90c1ddc3b6d600592e | 6b2a8dd202fdce77c971c412717e305e1caaac51 | /solutions_5695413893988352_0/Python/progiv/close_match.py | de2bc3d31272ead8036a2f9ebf22e4067d456aba | [] | no_license | alexandraback/datacollection | 0bc67a9ace00abbc843f4912562f3a064992e0e9 | 076a7bc7693f3abf07bfdbdac838cb4ef65ccfcf | refs/heads/master | 2021-01-24T18:27:24.417992 | 2017-05-23T09:23:38 | 2017-05-23T09:23:38 | 84,313,442 | 2 | 4 | null | null | null | null | UTF-8 | Python | false | false | 1,205 | py | import math
import sys
sys.setrecursionlimit(1000000)
inf = open("in.in", "r")
ouf = open('out.out','w')
def close_files():
inf.close()
ouf.close()
def precount():
pass
printcounter = 0
def printstr(a):
global printcounter
printcounter +=1
print ('Case... | [
"alexandra1.back@gmail.com"
] | alexandra1.back@gmail.com |
330d6c5a2a9e117515c7454e5f80eff8b300427c | 7db93c328243cd2f6ffcabb66b0d148bb0e3d198 | /Offer_book_problems/053getNumOfKInSortedArr.py | 840163fc03f018d1411af66a15b01ccf386a7d8c | [
"MIT"
] | permissive | zhaoxinlu/leetcode-algorithms | 62cc67efdc1b0e8514c83bb7643b369b4f681948 | f5e1c94c99628e7fb04ba158f686a55a8093e933 | refs/heads/master | 2021-05-11T23:47:43.385660 | 2018-04-25T08:27:57 | 2018-04-25T08:27:57 | 117,520,203 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,502 | py | # -*- coding: utf-8 -*-
"""
Editor: Zhao Xinlu
School: BUPT
Date: 2018-02-26
Function: 数字在排序数组中出现的次数
借助二分查找的方法，时间复杂度：O(logn)
"""
def getFirstK(arr, value, start, end):
if start > end:
return -1
midIndex = (start + end) / 2
midValue = arr[midIndex]
if midValue == value:
if (midI... | [
"446571703@qq.com"
] | 446571703@qq.com |
3d5f439474ba5c97c1cc80cfdd6b3beb7aef476d | 50008b3b7fb7e14f793e92f5b27bf302112a3cb4 | /recipes/Python/81984_Class_Adoption/recipe-81984.py | 79495516d3d13abcd312f18b3e07647b058c417a | [
"Python-2.0",
"MIT"
] | permissive | betty29/code-1 | db56807e19ac9cfe711b41d475a322c168cfdca6 | d097ca0ad6a6aee2180d32dce6a3322621f655fd | refs/heads/master | 2023-03-14T08:15:47.492844 | 2021-02-24T15:39:59 | 2021-02-24T15:39:59 | 341,878,663 | 0 | 0 | MIT | 2021-02-24T15:40:00 | 2021-02-24T11:31:15 | Python | UTF-8 | Python | false | false | 837 | py | def adopt_class(klass, obj, *args, **kwds):
'reclass obj to inherit klass; call __init__ with *args, **kwds'
classname = '%s_%s' % (klass.__name__, obj.__class__.__name__)
obj.__class__ = new.classobj(classname, (klass, obj.__class__), {})
klass.__init__(obj, *args, **kwds)
def demo():
class Sand... | [
"betty@qburst.com"
] | betty@qburst.com |
b79b85808478527832c5ffe03ceecd59e2b003f1 | 65c0ef56c2e2c3e1646a610f49e6dd06f2c6102d | /src/libs/core/register/base/base.py | 51a4b1a8094af5328e72bb744227c24ebe26e60c | [
"MIT"
] | permissive | VirtualVFix/AndroidTestFramework | d3411f328a793ee7b007c4736983204aae81b739 | 1feb769c6aca39a78e6daefd6face0a1e4d62cd4 | refs/heads/master | 2020-08-11T14:48:12.454415 | 2019-10-12T10:20:43 | 2019-10-12T10:20:43 | 214,582,560 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,972 | py | # All rights reserved by forest fairy.
# You cannot modify or share anything without sacrifice.
# If you don't agree, keep calm and don't look at code bellow!
__author__ = "VirtualV <https://github.com/virtualvfix>"
__date__ = "28/09/17 12:06"
import inspect
import hashlib
from libs.core.logger import getSysLogger
fr... | [
"github.com/virtualvfix"
] | github.com/virtualvfix |
0c6259601f18d2e0b4e09fd2371369bbd6751519 | bfae005cb0471c2656be26f6b4721d5edcf30bf4 | /tests/test_paths.py | 8270303aa4fce98f93a6bcd3bd72e9ce6e4d8084 | [
"MIT"
] | permissive | jdmcclain47/opt_einsum | 740d84e4fcfc275bc39af319be2e81114a722075 | 6884abf482e3759a45af5ca5c9361429b646e38c | refs/heads/master | 2021-05-09T10:21:16.322977 | 2017-12-07T11:55:48 | 2017-12-07T11:55:48 | 118,960,706 | 1 | 0 | null | 2018-01-25T19:54:57 | 2018-01-25T19:54:57 | null | UTF-8 | Python | false | false | 5,324 | py | """
Tests the accuracy of the opt_einsum paths in addition to unit tests for
the various path helper functions.
"""
from __future__ import division, absolute_import, print_function
import numpy as np
import opt_einsum as oe
import pytest
explicit_path_tests = {
'GEMM1': ([set('abd'), set('ac'), set('bdc')], set(... | [
"malorian@me.com"
] | malorian@me.com |
98c39e2626dbe0c6783925c0e26ecacb2c415b1d | 597b535310930f158d4b1c3ab116ff5cb99082a6 | /clean_arch/cleana/usecase/auth/auth_interactor.py | 9ebcccba5b3caef32f9d03e51375e6460b85cee0 | [] | no_license | ganqzz/flask_demo | aa04584e82df41eeac8346d02c0ff313d3f81942 | 4c88bb3707e0fd47a5f9a096c4c8973f6e00aa99 | refs/heads/master | 2023-07-17T15:35:05.694467 | 2021-09-04T08:07:16 | 2021-09-04T08:07:16 | 356,182,380 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 441 | py | from cleana.repository.user.user_repository import UserRepository
from cleana.usecase.auth.auth_usecase import AuthUseCase
class AuthInteractor(AuthUseCase):
def __init__(self, user_repository: UserRepository):
self.user_repository = user_repository
def login(self, body: str):
pass
def l... | [
"ganqzz@users.noreply.github.com"
] | ganqzz@users.noreply.github.com |
6bc1860a6122ae953a92f8911faf9f6d47231d7c | dcaa383b42ee9b2cfb7a61b791877f6d7aa49f52 | /semantic_filtering/models/unet.py | 8ce56aefef1aed7517bb12f329891298500acef4 | [] | no_license | ver228/semantic_filtering | 910ed8b1381ea65b5c5bf4ef4c09270ab803e5ec | 606be573393fb5ff1dd22169182265ed18cc54aa | refs/heads/master | 2020-04-26T18:46:25.195929 | 2019-10-09T12:54:39 | 2019-10-09T12:54:39 | 173,754,447 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,670 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Apr 19 11:13:46 2018
@author: avelinojaver
"""
import math
import torch
from torch import nn
import torch.nn.functional as F
def weights_init_xavier(m):
'''
Taken from https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix/blob/master/models... | [
"ver228@gmail.com"
] | ver228@gmail.com |
8ef5b41058ae63d10c0a294e30136ad3f639ceb1 | 3dfb4ee39555b30e6e0c6fcdbef371864e69f694 | /google-cloud-sdk/.install/.backup/lib/surface/pubsub/topics/list_subscriptions.py | 177c57782bcb2c2897a5806b9cb1e3edf8114ed4 | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | MD-Anderson-Bioinformatics/NG-CHM_Galaxy | 41d1566d5e60416e13e023182ca4351304381a51 | dcf4886d4ec06b13282143ef795c5f0ff20ffee3 | refs/heads/master | 2021-06-02T21:04:12.194964 | 2021-04-29T14:45:32 | 2021-04-29T14:45:32 | 130,249,632 | 0 | 1 | null | 2020-07-24T18:35:21 | 2018-04-19T17:25:33 | Python | UTF-8 | Python | false | false | 3,886 | py | # Copyright 2015 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | [
"rbrown@insilico.us.com"
] | rbrown@insilico.us.com |
05f53b4af1881240285b8286fc6e4b690262b1b4 | bc441bb06b8948288f110af63feda4e798f30225 | /capacity_admin_sdk/model/topology/property_pb2.py | 70e3c45e1c38d72b24f9b0d928498f2c52426ea9 | [
"Apache-2.0"
] | permissive | easyopsapis/easyops-api-python | 23204f8846a332c30f5f3ff627bf220940137b6b | adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0 | refs/heads/master | 2020-06-26T23:38:27.308803 | 2020-06-16T07:25:41 | 2020-06-16T07:25:41 | 199,773,131 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | true | 4,203 | py | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: property.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf im... | [
"service@easyops.cn"
] | service@easyops.cn |
49716f6e7d9a2cc68a255f009d7b531e59438bda | e01c5d1ee81cc4104b248be375e93ae29c4b3572 | /Sequence1/Graphs/graph.py | 39a00a0adeee465dc7b472d71fc8475cd0ec817a | [] | no_license | lalitzz/DS | 7de54281a34814601f26ee826c722d123ee8bd99 | 66272a7a8c20c0c3e85aa5f9d19f29e0a3e11db1 | refs/heads/master | 2021-10-14T09:47:08.754570 | 2018-12-29T11:00:25 | 2018-12-29T11:00:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,396 | py | class Vertex:
def __init__(self, key):
self.id = key
self.connections = {}
def addNeighbour(self, nb, weight = 0):
self.connections[nb] = weight
def getConnections(self):
return self.connections.keys()
def getId(self):
return self.id
def getWeight(... | [
"lalit.slg007@gmail.com"
] | lalit.slg007@gmail.com |
15a0f2b2739bf63c905737134ef97e7e69c7b3ce | 37fbda71e4d38733d19b243522dcf8b47837e3a3 | /port/views2.py | b4c596eddc580cd91f49a0ca563eaf624fdb05bf | [] | no_license | chenhanfang/selfporttest | 381710f972be14c2bb9971c8cad9dc2e464f103b | d9a8fc0b967e596c19024be6dcf83e484215ec04 | refs/heads/master | 2021-01-23T11:32:29.105813 | 2017-06-09T08:19:01 | 2017-06-09T08:19:01 | 93,144,542 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 247 | py | from django.shortcuts import render
from . import models
from port.models import Code
from django.core.paginator import Paginator,EmptyPage,PageNotAnInteger
def porttest(request):###接口测试页
return render(request,'port/porttest.html')
| [
"chenhanfang@zhixunkeji.cn"
] | chenhanfang@zhixunkeji.cn |
aadadd426f2bb8fe1b92d9811dc80ed7f3ad9de2 | 2734b77a68f6d7e22e8b823418ad1c59fe1a34af | /opengever/core/upgrades/20211213102105_fix_inbox_document_workflow/upgrade.py | aa317497a9aff58522188bd839c6f903e6fa5eec | [] | no_license | 4teamwork/opengever.core | 5963660f5f131bc12fd0a5898f1d7c8f24a5e2b1 | a01bec6c00d203c21a1b0449f8d489d0033c02b7 | refs/heads/master | 2023-08-30T23:11:27.914905 | 2023-08-25T14:27:15 | 2023-08-25T14:27:15 | 9,788,097 | 19 | 8 | null | 2023-09-14T13:28:56 | 2013-05-01T08:28:16 | Python | UTF-8 | Python | false | false | 191 | py | from ftw.upgrade import UpgradeStep
class FixInboxDocumentWorkflow(UpgradeStep):
"""Fix inbox document workflow.
"""
def __call__(self):
self.install_upgrade_profile()
| [
"e.schmutz@4teamwork.ch"
] | e.schmutz@4teamwork.ch |
3f0ccba4c2844d8f034f40b3e75d0d2caa97a224 | 6adf334dd2a074686447e15898ed3fff793aab48 | /04_Merge_Intervals/03_insert_interval.py | 32258a25e58b7d2d6edce2fbc7702efedd11b2ab | [] | no_license | satyapatibandla/Patterns-for-Coding-Interviews | 29ac1a15d5505293b83a8fb4acf12080851fe8d6 | b3eb2ac82fd640ecbdf3654a91a57a013be1806f | refs/heads/main | 2023-05-07T07:56:01.824272 | 2021-06-01T04:02:50 | 2021-06-01T04:02:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,007 | py | # Time O(N) | Space O(N)
def insert_interval(intervals, new_interval):
result = []
i, start, end = 0, 0, 1
while i < len(intervals) and intervals[i][start] < new_interval[start]:
result.append(intervals[i])
i += 1
while i < len(intervals) and intervals[i][start] <= new_interval[end]:
... | [
"shash873@gmail.com"
] | shash873@gmail.com |
4dffc0713e1908c77083f44c7bd070453f1290e4 | fd48fba90bb227017ac2da9786d59f9b9130aaf0 | /digsby/src/mail/pop.py | b86f9f64de4eba5f634e9f527ae06adbef2a2608 | [
"Python-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | niterain/digsby | bb05b959c66b957237be68cd8576e3a7c0f7c693 | 16a62c7df1018a49eaa8151c0f8b881c7e252949 | refs/heads/master | 2021-01-18T10:07:10.244382 | 2013-11-03T02:48:25 | 2013-11-03T02:48:25 | 5,991,568 | 1 | 0 | null | 2013-11-03T02:48:26 | 2012-09-28T02:24:50 | Python | UTF-8 | Python | false | false | 7,151 | py | '''
POP mail
'''
from mail.smtp import SMTPEmailAccount
from common import pref
from util import ResetTimer
from util.primitives.funcs import get
from logging import getLogger; log = getLogger('popmail'); info = log.info
from mail.emailobj import DecodedEmail
from mail.emailobj import Email
from traceback import print... | [
"mdougherty@tagged.com"
] | mdougherty@tagged.com |
71d9a83e464f82051a758c2d33a78ac365a5b19a | d2c4934325f5ddd567963e7bd2bdc0673f92bc40 | /tests/model_control/detailed/transf_Integration/model_control_one_enabled_Integration_MovingMedian_Seasonal_MonthOfYear_SVR.py | ba538fdda129fca51e45b6327146afc395216a1b | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | jmabry/pyaf | 797acdd585842474ff4ae1d9db5606877252d9b8 | afbc15a851a2445a7824bf255af612dc429265af | refs/heads/master | 2020-03-20T02:14:12.597970 | 2018-12-17T22:08:11 | 2018-12-17T22:08:11 | 137,104,552 | 0 | 0 | BSD-3-Clause | 2018-12-17T22:08:12 | 2018-06-12T17:15:43 | Python | UTF-8 | Python | false | false | 173 | py | import pyaf.tests.model_control.test_ozone_custom_models_enabled as testmod
testmod.build_model( ['Integration'] , ['MovingMedian'] , ['Seasonal_MonthOfYear'] , ['SVR'] ); | [
"antoine.carme@laposte.net"
] | antoine.carme@laposte.net |
9dfe0767d9b0883a76e8e18ee55623ed1b008ff2 | d05a59feee839a4af352b7ed2fd6cf10a288a3cb | /xlsxwriter/test/worksheet/test_cond_format06.py | 22f05c90d94d6719ab020749a8069ae06371182b | [
"BSD-2-Clause-Views"
] | permissive | elessarelfstone/XlsxWriter | 0d958afd593643f990373bd4d8a32bafc0966534 | bb7b7881c7a93c89d6eaac25f12dda08d58d3046 | refs/heads/master | 2020-09-24T06:17:20.840848 | 2019-11-24T23:43:01 | 2019-11-24T23:43:01 | 225,685,272 | 1 | 0 | NOASSERTION | 2019-12-03T18:09:06 | 2019-12-03T18:09:05 | null | UTF-8 | Python | false | false | 3,825 | py | ###############################################################################
#
# Tests for XlsxWriter.
#
# Copyright (c), 2013-2019, John McNamara, jmcnamara@cpan.org
#
import unittest
from ...compatibility import StringIO
from ..helperfunctions import _xml_to_list
from ...worksheet import Worksheet
class TestAss... | [
"jmcnamara@cpan.org"
] | jmcnamara@cpan.org |
0ef7954996e42a6d743569121fb8420071fc267d | 4bcc9806152542ab43fc2cf47c499424f200896c | /tensorflow/python/tpu/tests/tpu_embedding_v2_correctness_hd_ragged_forward_test.py | 61a0f48cc240f958811a8776deacdbf661a074ee | [
"Apache-2.0",
"LicenseRef-scancode-generic-cla",
"BSD-2-Clause"
] | permissive | tensorflow/tensorflow | 906276dbafcc70a941026aa5dc50425ef71ee282 | a7f3934a67900720af3d3b15389551483bee50b8 | refs/heads/master | 2023-08-25T04:24:41.611870 | 2023-08-25T04:06:24 | 2023-08-25T04:14:08 | 45,717,250 | 208,740 | 109,943 | Apache-2.0 | 2023-09-14T20:55:50 | 2015-11-07T01:19:20 | C++ | UTF-8 | Python | false | false | 1,441 | py | # Copyright 2022 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"gardener@tensorflow.org"
] | gardener@tensorflow.org |
25300826c517a97931ccdfcf3cbb34387deb7627 | 926621c29eb55046f9f59750db09bdb24ed3078e | /lib/surface/functions/call.py | 4c49d60775ab030dfbdc15919000d7c0e644be32 | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | bopopescu/SDK | 525d9b29fb2e901aa79697c9dcdf5ddd852859ab | e6d9aaee2456f706d1d86e8ec2a41d146e33550d | refs/heads/master | 2022-11-22T18:24:13.464605 | 2016-05-18T16:53:30 | 2016-05-18T16:53:30 | 282,322,505 | 0 | 0 | NOASSERTION | 2020-07-24T21:52:25 | 2020-07-24T21:52:24 | null | UTF-8 | Python | false | false | 2,026 | py | # Copyright 2015 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | [
"richarddewalhalla@gmail.com"
] | richarddewalhalla@gmail.com |
7d13549756c02e6602e0017aaad1b57e3a4fc73f | 5a52ccea88f90dd4f1acc2819997fce0dd5ffb7d | /alipay/aop/api/response/AlipayMerchantOrderExternalPaychannelSyncResponse.py | fdba4427402ff120549d81280ebc20667670f062 | [
"Apache-2.0"
] | permissive | alipay/alipay-sdk-python-all | 8bd20882852ffeb70a6e929038bf88ff1d1eff1c | 1fad300587c9e7e099747305ba9077d4cd7afde9 | refs/heads/master | 2023-08-27T21:35:01.778771 | 2023-08-23T07:12:26 | 2023-08-23T07:12:26 | 133,338,689 | 247 | 70 | Apache-2.0 | 2023-04-25T04:54:02 | 2018-05-14T09:40:54 | Python | UTF-8 | Python | false | false | 488 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
class AlipayMerchantOrderExternalPaychannelSyncResponse(AlipayResponse):
def __init__(self):
super(AlipayMerchantOrderExternalPaychannelSyncResponse, self).__init__()
def par... | [
"jiandong.jd@antfin.com"
] | jiandong.jd@antfin.com |
4f197bd896198dc6f3e5e1120b2b8ad4f934e6cd | 5cc0041f6f85852032c65749bae48e4599297777 | /Web_Crawler/ch2/ch2_18.py | 4f46a8649e3816946a3977e7a1bd8e6745e1b761 | [] | no_license | Phil-Gith/Study | 226f84a86a4a8bf12258dbddd4bb22b1999c8e5b | 240269afa7f91469e3943214b2f4e5961fec8694 | refs/heads/master | 2023-01-04T19:37:59.473684 | 2020-10-15T03:03:48 | 2020-10-15T03:03:48 | 256,115,836 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 845 | py | # ch2_18.py
import csv
import matplotlib.pyplot as plt
from datetime import datetime
fn = 'TaipeiWeatherJan.csv'
with open(fn) as csvFile:
csvReader = csv.reader(csvFile)
headerRow = next(csvReader) # 讀取文件下一行
dates, highTemps = [], [] # 設定空串列
for row in csvReader:
high... | [
"chhuanting@gmail.com"
] | chhuanting@gmail.com |
5bc62e0e2e3ec7a62672c600085786d1d11835ab | 3ba0413c1a935632425881d0a0104aef3fcfe7ec | /科学计算与时间/pandasTest2.py | 68f4aaaba6bf7eb3171a69a591c9310c7c5bdb72 | [] | no_license | lxc911008/Artificial-Intelligence | 624c9348bbfdb9a473b7c6c5dbd803d9f425cf79 | dd03f6e66c70ca4c24b3826ebd2deb51dfe66c36 | refs/heads/master | 2020-07-08T02:24:13.418944 | 2019-09-05T09:13:41 | 2019-09-05T09:13:41 | 203,538,960 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,339 | py | #!usr/bin/env python
#-*- coding:utf-8 _*-
"""
@author:LXC
@file: pandasTest2.py
@time: 2019/09/02
"""
import pandas as pd
'''
#DataFrame
#DataFrame是二维数据结构，即数据以行和列的表格方式排列
#功能特点：
# 潜在的列是不同的类型
# 大小可变
# 标记轴（行和列）
# 可以对行和列执行算术运算
#DataFrame构造函数：pandas.DataFrame(data,index,columns,dtype,copy)
# data:数据采取各种形式，如ndarry,se... | [
"you@example.com"
] | you@example.com |
82e9ce7c2a08c7f61f09a056c04674c79615cc12 | f0bb020e5e31a4aee953ca79b859590a5d97cf2c | /django_app/blog/migrations/0001_initial.py | 4edafc4b00e2845a84e57e36a65c5de31e36cb81 | [] | no_license | YunhoJung/djangogirls-Tutorial2 | 0d699df86a51414bfbb89bd61c9ede3d42bdee80 | ff6b55e2392e210efd329ce01a2c8573339eb2a2 | refs/heads/master | 2021-01-22T12:25:37.227801 | 2017-05-30T04:55:44 | 2017-05-30T04:55:44 | 92,724,247 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 991 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.1 on 2017-05-30 01:36
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
depe... | [
"saijdu2198@gmail.com"
] | saijdu2198@gmail.com |
7ca4dc8a99a59be4b601f5e534d123f4b73bc444 | 24fe1f54fee3a3df952ca26cce839cc18124357a | /servicegraph/lib/python2.7/site-packages/acimodel-4.0_3d-py2.7.egg/cobra/modelimpl/comm/telnetinst.py | 09dcd6dc82e4f398037421e1cead3beefd82b780 | [] | no_license | aperiyed/servicegraph-cloudcenter | 4b8dc9e776f6814cf07fe966fbd4a3481d0f45ff | 9eb7975f2f6835e1c0528563a771526896306392 | refs/heads/master | 2023-05-10T17:27:18.022381 | 2020-01-20T09:18:28 | 2020-01-20T09:18:28 | 235,065,676 | 0 | 0 | null | 2023-05-01T21:19:14 | 2020-01-20T09:36:37 | Python | UTF-8 | Python | false | false | 7,202 | py | # coding=UTF-8
# **********************************************************************
# Copyright (c) 2013-2019 Cisco Systems, Inc. All rights reserved
# written by zen warriors, do not modify!
# **********************************************************************
from cobra.mit.meta import ClassMeta
from cobra.m... | [
"rrishike@cisco.com"
] | rrishike@cisco.com |
fe2c50b9178fb07cf4ac84ed50234e6ccee3ea5c | a6b0e4b92a404e2a14591f025f908a8a567f1e17 | /pgm/representation/MN.py | ba861a6419c3726088884e6e6107e82a9ac7425b | [
"MIT"
] | permissive | koriavinash1/pgm | 6cdde0aa447503837ef74e4d34d2799a5e0a5b8f | 89e11b61f7141a75d8991ff4ea229ef66d7a4a0c | refs/heads/master | 2022-07-10T15:55:20.672986 | 2020-06-30T05:44:13 | 2020-06-30T05:44:13 | 242,904,930 | 4 | 2 | MIT | 2022-06-22T01:50:20 | 2020-02-25T03:56:24 | Python | UTF-8 | Python | false | false | 4,200 | py | import numpy as np
class Graph(object):
"""
Adjancency list and Adjancency matrix
representation of the graph based on the input
"""
def __init__(self, type='list'):
"""
type: captures the type of graph
allowed values ['list', 'matrix']
"""
... | [
"koriavinash1@gmail.com"
] | koriavinash1@gmail.com |
aa8ad5d953b4effedd92cc7e8c0979f43318e818 | 8ae5b5495e2223216dbfc4d65d8abe9920d5448f | /test/integration/conftest.py | 01db91f58b5faec0cc94e96fc94c6c43aba8af4a | [
"MIT"
] | permissive | neunkasulle/flynt | 6c09d41e978868f393cb82182ef81d18d20b1634 | 7f73c7cb4d3e00cc65d9e676583f532f3ed9b302 | refs/heads/master | 2020-07-03T06:16:09.429070 | 2019-08-09T14:00:30 | 2019-08-09T14:01:55 | 201,815,878 | 0 | 0 | null | 2019-08-11T21:17:28 | 2019-08-11T21:17:28 | null | UTF-8 | Python | false | false | 1,323 | py | import pytest
all_files = pytest.fixture(params=[
"CantAffordActiveException.py",
"all_named.py",
"def_empty_line.py",
"digit_ordering.py",
"dict_func.py",
"double_conv.py",
"first_string.py",
"hard_percent.py",
"implicit_concat.py",
"implicit_concat_comment.py",
"implicit_c... | [
"ikkamens@amazon.com"
] | ikkamens@amazon.com |
e0c375a7c9aeb8bdb737e925027a1d23aa4a0137 | 375c05dc48eacb4bdaabe8930bd39c133ff8c159 | /web/tudata/fetcher/fetch_Transaction.py | 6df4767604c4bb2df129462a14088c737bff84c5 | [] | no_license | wangshoujunnew/ai_qi | e68e719b772c9762b64c68bd4537793df8be089a | a6dc1cd326410f522af59b657f99b675c54b4880 | refs/heads/master | 2021-07-17T00:36:28.977847 | 2021-07-15T23:41:48 | 2021-07-15T23:41:48 | 132,225,071 | 0 | 0 | null | 2018-05-05T07:27:20 | 2018-05-05T07:27:20 | null | UTF-8 | Python | false | false | 2,004 | py | import pandas as pd
import tushare as ts
from utils.strutils import nextDayStr, nextMinStr
from ..db import read_sql, TN_TRANSACTION_D, TN_TRANSACTION_5MIN
'''
个股历史交易记录
相关接口： get_hist_data
__tablename__ = 'transaction'
id = Column(Integer, primary_key=True, autoincrement=True)
# 代码
code = Column(Integer, index=True)... | [
"lijianan@hujiang.com"
] | lijianan@hujiang.com |
b57ad36b236cc2b3aba872cc84e39ffef40188dd | 9745e5d8acae70bcdd7011cc1f81c65d3f5eed22 | /problem-solving/Implementation/Encryption/solutions.py | edc1efb3c322941806726ff9e9af711e1ec42f2e | [] | no_license | rinleit/hackerrank-solutions | 82d71b562d276ec846ab9a26b3e996c80172f51e | 519a714c5316892dce6bd056b14df5e222078109 | refs/heads/master | 2022-11-10T05:08:11.185284 | 2020-07-02T01:34:35 | 2020-07-02T01:34:35 | 254,403,657 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 611 | py | #!/bin/python3
import math
import os
import random
import re
import sys
# Complete the encryption function below.
def encryption(s):
n = math.sqrt(len(s))
row, col = math.floor(n), math.ceil(n)
encryption = []
for i in range(0, len(s), col):
temp_str = s[i:i+col].ljust(col, " ")
encry... | [
"rinle.it@gmail.com"
] | rinle.it@gmail.com |
9553e17b83697e7bda70cb8d700e4a7ed33ba705 | 1b614c43af7e636c6bcdf828af4e795b4df1daee | /system/base/v86d/actions.py | 4610e02dcb06573508f5a53d9ba3b6ad5896e61b | [] | no_license | pisilinux/core | 1a86b88de182bfcf05fc79a3329644d83379bc11 | b4eb5a301f185f0e644f32544a25f4ed68b6e158 | refs/heads/master | 2023-08-25T10:46:54.168655 | 2023-08-22T20:25:16 | 2023-08-22T20:25:16 | 31,252,264 | 38 | 116 | null | 2023-09-14T16:09:40 | 2015-02-24T09:09:49 | Python | UTF-8 | Python | false | false | 525 | py | # -*- coding: utf-8 -*-
#
# Licensed under the GNU General Public License, version 3.
# See the file http://www.gnu.org/licenses/gpl.txt
from pisi.actionsapi import autotools
from pisi.actionsapi import pisitools
from pisi.actionsapi import get
def setup():
autotools.rawConfigure("--without-klibc \
... | [
"yusuf.aydemir@istanbul.com"
] | yusuf.aydemir@istanbul.com |
0400fa60ce904d84a8b6414c1c017b47b0d07668 | 47128c6ff1277eedf851670d33f7a288fdfe2246 | /win32/focus_window.py | 2d29b8632382ea0d70d2bd2269cc675ef1419135 | [] | no_license | chati757/python-learning-space | 5de7f11a931cf95bc076473da543331b773c07fb | bc33749254d12a47523007fa9a32668b8dc12a24 | refs/heads/master | 2023-08-13T19:19:52.271788 | 2023-07-26T14:09:58 | 2023-07-26T14:09:58 | 83,208,590 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 348 | py | import win32gui
import win32con
def focus_window(title):
hwnd = win32gui.FindWindow(None, title)
if hwnd:
win32gui.ShowWindow(hwnd, win32con.SW_RESTORE)
win32gui.SetForegroundWindow(hwnd)
else:
print("Window with title '{}' not found!".format(title))
# Example usage:
focus_window("... | [
"chati757@users.noreply.github.com"
] | chati757@users.noreply.github.com |
8db4f80121ff82a3a2b3c63c663b8382b802b3e9 | 21a92e72448715510d509ab0ec07af37f388013a | /book/problems/multOrPlus.py | 3a85af55bcf1e10f4cbaab0dde979c4ce1b5909e | [] | no_license | chlee1252/dailyLeetCode | 9758ad5a74997672129c91fb78ecc00092e1cf2a | 71b9e3d82d4fbb58e8c86f60f3741db6691bf2f3 | refs/heads/master | 2023-01-22T02:40:55.779267 | 2020-12-03T15:01:07 | 2020-12-03T15:01:07 | 265,159,944 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 336 | py | def solution(S):
result = 0
for num in S:
num = int(num)
if num < 2 or result < 2:
result += num
else:
result *= num
# print(result)
return result
print(solution("1111"))
print(solution("011111"))
print(solution("567"))
print(solution("02984"))
print(... | [
"chlee1252@gmail.com"
] | chlee1252@gmail.com |
abf68e96f3cae06820575d013f7b29a5b835f095 | 178fc17fdf36a52265807e4c48c80a40727e6c78 | /Python/detect_html/detect.py | d08e5c24889cd3eceb04c3e26a040cdad9226317 | [] | no_license | Algorant/HackerRank | da61820e7b2ffe274203b9fd8f4348c79a1a0451 | 259fd39747898c157144891df26a1d0b812f2a46 | refs/heads/master | 2023-02-03T06:41:46.035515 | 2020-12-20T02:18:15 | 2020-12-20T02:18:15 | 285,880,833 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 406 | py | '''
Print the HTML tags and attribute values in order of their
occurrence from top to bottom in the given snippet
'''
from html.parser import HTMLParser
class MyHTMLParser(HTMLParser):
def handle_starttag(self, tag, attrs):
print(tag)
for attr in attrs:
print("->", attr[0], ">", attr... | [
"Skantastico@gmail.com"
] | Skantastico@gmail.com |
7a9e78e6b93e0680774b4624d14bdd1a8ec0be7c | bcc199a7e71b97af6fbfd916d5a0e537369c04d9 | /leetcode/solved/85_Maximal_Rectangle/solution.py | 7438d49f85d870ec1bf91452b9ec12ee791a3528 | [] | no_license | sungminoh/algorithms | 9c647e82472905a2c4e505c810b622b734d9d20d | 1389a009a02e90e8700a7a00e0b7f797c129cdf4 | refs/heads/master | 2023-05-01T23:12:53.372060 | 2023-04-24T06:34:12 | 2023-04-24T06:34:12 | 87,406,513 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,119 | py | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2020 sungminoh <smoh2044@gmail.com>
#
# Distributed under terms of the MIT license.
"""
Given a rows x cols binary matrix filled with 0's and 1's, find the largest rectangle containing only 1's and return its area.
Example 1:
Input: matr... | [
"smoh2044@gmail.com"
] | smoh2044@gmail.com |
c543f3d0c1f2509782e52b90f80b8f5dd7672456 | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/320/usersdata/280/89051/submittedfiles/lecker.py | 772a59e3b7905b2305c3d504790e7ce7f9ece420 | [] | no_license | rafaelperazzo/programacao-web | 95643423a35c44613b0f64bed05bd34780fe2436 | 170dd5440afb9ee68a973f3de13a99aa4c735d79 | refs/heads/master | 2021-01-12T14:06:25.773146 | 2017-12-22T16:05:45 | 2017-12-22T16:05:45 | 69,566,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 390 | py | # -*- coding: utf-8 -*-
import math
n1=int(input("Digite o 1º número: "))
n2=int(input("Digite o 2º número: "))
n3=int(input("Digite o 3º número: "))
n4=int(input("Digite o 4º número: "))
cont=0
if n1>n2:
cont=cont + 1
if n2>n3 and n2>n1:
cont=cont + 1
if n3>n4 and n3>n2:
cont=cont + 1
if n4>n3:
cont=co... | [
"rafael.mota@ufca.edu.br"
] | rafael.mota@ufca.edu.br |
c3136dacb8b11aba8a6556840042479ed14b5368 | 2e682fd72e3feaa70e3f7bf2a3b83c50d783ec02 | /PyTorch/contrib/cv/detection/SSD/tools/eval_metric.py | dd4ba6835e90aa972f64ba7f0abdb998eacae91d | [
"GPL-1.0-or-later",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause",
"LicenseRef-scancode-generic-cla",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | Ascend/ModelZoo-PyTorch | 4c89414b9e2582cef9926d4670108a090c839d2d | 92acc188d3a0f634de58463b6676e70df83ef808 | refs/heads/master | 2023-07-19T12:40:00.512853 | 2023-07-17T02:48:18 | 2023-07-17T02:48:18 | 483,502,469 | 23 | 6 | Apache-2.0 | 2022-10-15T09:29:12 | 2022-04-20T04:11:18 | Python | UTF-8 | Python | false | false | 3,129 | py | # Copyright 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 agree... | [
"wangjiangben@huawei.com"
] | wangjiangben@huawei.com |
5da66ebf5494eab70d995002f3374ddd1c2a3cc1 | 1686d1e263a77c44f2e711450bcd32fc1feb94c3 | /MySite001/src/CS/urls.py | 36462b2376dc0f68d80191d9463bf93fe227ff90 | [] | no_license | wesamalnobani/Django_My_Exercises | 7297e41bc2f47d854d0d62dd489b7eb08365ffd2 | 10a4accebf03df5e869843f7bac941afe93e6509 | refs/heads/master | 2020-04-22T06:23:36.865853 | 2019-02-11T19:32:49 | 2019-02-11T19:32:49 | 162,743,003 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 849 | py | from django.urls import path
from .views import home,test01,test02,test03,test04,page01,page02,page03,create_user,backend01,update_user,backend02,backend03
urlpatterns = [
path('',home,name='Index'),
path('Python/',page01,name='Python'),
path('C++/',page02,name='C++'),
path('JavaScript/',page03,name='J... | [
"wesam.alnobani@gmail.com"
] | wesam.alnobani@gmail.com |
f35e3a1f17961d8a4d45a9d205b7169a7add01e8 | 6d45ba4adff74b2cb1b6764dc684f37407b41ba9 | /PirateBoxMessageBoard/message/forms.py | b3fcbd48a2a4cea507ac333c599047e345d8e20a | [] | no_license | bussiere/PirateBoxMessageBoard | bbf478af1886caf811f38802bde5528593bba2c4 | 8626a8a44d5bdbf06486fac65682a50e4209396d | refs/heads/master | 2021-01-23T11:56:22.905167 | 2013-03-08T16:33:08 | 2013-03-08T16:33:08 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 237 | py | from django import forms
class MessageForm(forms.Form):
Pseudo = forms.CharField(max_length=100)
Description = forms.CharField(max_length=100)
Message = forms.CharField(widget=forms.Textarea(attrs={'cols': 20, 'rows': 20}))
| [
"bussiere@gmail.com"
] | bussiere@gmail.com |
17e8d0fbafe8a71799bcab09f7c00a4a0e7adb30 | 415b5c3ccf75b55c39dadba0773419a21ebeb9d1 | /moff/node/list_item_node.py | 93ba44b8eea6857424c91589a9335210d2665e77 | [
"MIT"
] | permissive | Tikubonn/moff | d8e5e2fedd5b343883050ae79c26a85e22a4d7f1 | 1c363f60959138311068177fca177d0f0dc97380 | refs/heads/master | 2020-05-17T05:23:59.110858 | 2019-06-07T03:47:21 | 2019-06-07T03:47:21 | 183,534,015 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 211 | py |
from .template import CollectionNode
class ListItemNode (CollectionNode):
# override
def write(self, stream):
stream.write("<li>")
super().write(stream)
stream.write("</li>")
| [
"https://twitter.com/tikubonn"
] | https://twitter.com/tikubonn |
616d7543696d84644ca888794262ebffdc7033c9 | a9dc42e9f54b549fcdd695817e347abfd8f2869f | /snap_scripts/downscaling_10min/downscaling_10min_OLD_KEEP/wrap_downscaler_cmip5_slurm.py | eb049f4160cd2c77edd6a55e7ab458c034cdd5ab | [
"MIT"
] | permissive | yusheng-wang/downscale | 2e77d070115ead3034c154d29f1c533976228f13 | 3fe8ea1774cf82149d19561ce5f19b25e6cba6fb | refs/heads/master | 2023-04-10T03:25:08.806859 | 2019-09-21T17:34:35 | 2019-09-21T17:34:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,628 | py | # # # # #
# wrap downscaler for running on slurm
# # # # #
def run_model( fn, base_dir, variable, model, scenario, units, metric ):
import os, subprocess
head = '#!/bin/sh\n' + \
'#SBATCH --ntasks=32\n' + \
'#SBATCH --nodes=1\n' + \
'#SBATCH --ntasks-per-node=32\n' + \
'#SBATCH --account=snap\n' + \
... | [
"lindgren.mike@gmail.com"
] | lindgren.mike@gmail.com |
e4ca8247c56c5c251f62479a4a6b66f802ab823b | 487ce91881032c1de16e35ed8bc187d6034205f7 | /codes/CodeJamCrawler/16_0_3_neat/16_0_3_zeebonk_main.py | f644acaf0f26faca4d4ab13b693e4f0cc6eb29a1 | [] | no_license | DaHuO/Supergraph | 9cd26d8c5a081803015d93cf5f2674009e92ef7e | c88059dc66297af577ad2b8afa4e0ac0ad622915 | refs/heads/master | 2021-06-14T16:07:52.405091 | 2016-08-21T13:39:13 | 2016-08-21T13:39:13 | 49,829,508 | 2 | 0 | null | 2021-03-19T21:55:46 | 2016-01-17T18:23:00 | Python | UTF-8 | Python | false | false | 966 | py | import fileinput
from itertools import product
from math import sqrt
def get_devisors(item):
item = ''.join(item)
devisors = []
for base in xrange(2, 11):
number = int(''.join(item), base)
for i in xrange(2, int(sqrt(number))):
if number % i == 0:
devisors.append(i)
break
return devisors
if __name_... | [
"[dhuo@tcd.ie]"
] | [dhuo@tcd.ie] |
f844ff6861d32d92c4dd2c95ef5ce3058bc9e100 | 3d5bcd57b893c95bbcbfafe77bbc33c65432c9ed | /Algorithms/LeetCode/L0043multiply.py | 4b26d99cfae10351fa46ef39c154f388950b80a0 | [] | no_license | arunachalamev/PythonProgramming | c160f34c7cb90e82cd0d4762ff9dcb4abadf9c1c | ea188aaa1b72511aeb769a2829055d0aae55e73e | refs/heads/master | 2021-06-04T03:50:37.976293 | 2020-11-12T19:52:28 | 2020-11-12T19:52:28 | 97,364,002 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 549 | py |
def multiply(num1, num2):
product = [0] * (len(num1) + len(num2))
position = len(product)-1
for x in num1[::-1]:
temp = position
for y in num2[::-1]:
product[temp] += int(x) * int(y)
product[temp-1] += product[temp] // 10
product[temp] = product[temp] %... | [
"arunachalamev@gmail.com"
] | arunachalamev@gmail.com |
340da06a46d358ee325be8fc8e4307cbe9cd76ee | 956b32fe691b6e364464b4e4bf796c306ce26783 | /tests/fixture_data/server_groups.py | 553bc57bc7ac5e92537a3b68be6bc0d1f73cf08a | [] | no_license | zzpu/novaclient | 8be4c26dc0587d927f1116a2b9ff1b841987a3a0 | 4040cae0ce62d35c4f128686be67871536200ac5 | refs/heads/master | 2021-01-12T10:23:49.413848 | 2016-12-14T09:05:52 | 2016-12-14T09:05:52 | 76,442,804 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,517 | py | #coding:utf-8
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distr... | [
"719184289@qq.com"
] | 719184289@qq.com |
0280fd778cf57e2418830a4132806e8fa7817cc0 | 70f6e78d471a91323b11f730c6f04afee177daf1 | /tools/pytorch_load.py | 8db5c4e4fe9219b478048120ad9e171dee3818e7 | [] | no_license | orange-eng/Image_enhancement | 72a6e2cf30c8e536d8d57c0de5643d94cadce2d9 | 2fcfdb9a4a05d86d1255e250fbfd46ab740589fd | refs/heads/main | 2023-04-20T01:47:43.896157 | 2021-05-17T08:20:53 | 2021-05-17T08:20:53 | 323,057,119 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,404 | py | import torch
import torch.nn as nn
class Net_old(nn.Module):
def __init__(self):
super(Net_old, self).__init__()
self.nets = nn.Sequential(
torch.nn.Conv2d(1, 2, 3),
torch.nn.ReLU(True),
torch.nn.Conv2d(2, 1, 3),
torch.nn.ReLU(True),
torch... | [
"972353371@qq.com"
] | 972353371@qq.com |
89de725f6f8efd1df760f3d62641dc5d9b26ac12 | ea4ca37cf33ffb6e90c492802f61c2ec303e52f6 | /BinaryPattern/train_binary.py | e2281b5b3c57826d1df26df926819ab469dc662c | [] | no_license | webstorage119/Iris_pattern_classification | a59ac27864078c5a2475a4bfcf743ce412c09aa9 | 6050627f39034638239b83ccc9f752a8557ff0e9 | refs/heads/master | 2023-04-08T18:50:46.723478 | 2021-04-18T05:38:55 | 2021-04-18T05:38:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,545 | py | from BinaryPattern.util.constants import *
from BinaryPattern.util.dataloader import DataLoader
from BinaryPattern.util.output import makeoutput, make_dir
from BinaryPattern.util.gendataloader import ImageGenerator
from keras import backend as K
from tensorflow.keras.losses import binary_crossentropy, categorical_cross... | [
"jslee_314@naver.com"
] | jslee_314@naver.com |
104e7f1a42f192499b372b5bdaea9b13d982c273 | 12d00d6452e19db2f9b7ec1f4bb2574bf2a0f125 | /core/tests/gui/docprops_view_test.py | b2ff52d5d8e6350e1bd4eb5ef38762dc38467648 | [] | no_license | prodigeni/moneyguru | 578f9dfd5542b59d9b01ede1988bdd346c619472 | f8700112c85ca005e52a3c460775d543e219534e | refs/heads/master | 2021-01-16T21:22:26.930380 | 2014-01-25T19:13:23 | 2014-01-25T19:13:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,138 | py | # Created On: 2011/10/13
# Copyright 2014 Hardcoded Software (http://www.hardcoded.net)
#
# This software is licensed under the "BSD" License as described in the "LICENSE" file,
# which should be included with this package. The terms are also available at
# http://www.hardcoded.net/licenses/bsd_license
from datetim... | [
"hsoft@hardcoded.net"
] | hsoft@hardcoded.net |
1fddc8f60e25dbe5246c52241828e9f8ef7f8794 | c5d87c7f25e3fe9b17c1e88993b0ed6831e52acb | /N_NumpyDemo/UfuncDemo.py | 80361efe0f9891d4c53759aaa4147977d789136b | [] | no_license | GIS90/python_base_use | e55d55f9df505dac45ddd332fb65dcd08e8e531f | 7166ca85975bb7c56a5fbb6b723fd8300c4dd5d1 | refs/heads/master | 2020-04-02T08:33:49.461307 | 2018-10-23T03:33:41 | 2018-10-23T03:33:41 | 154,249,857 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 570 | py | # -*- coding: utf-8 -*-
import time
import math
import numpy as np
x = [i for i in xrange(1000 * 1000)]
start = time.clock()
for i, t in enumerate(x):
x[i] = math.sin(t)
print "math.sin:", time.clock() - start
x = [i for i in xrange(1000 * 1000)]
x = np.array(x)
start = time.clock()
np.sin(x, x)... | [
"mingliang.gao@qunar.com"
] | mingliang.gao@qunar.com |
c380d5414e074af53a8f6f50bebabf3b4b3c1744 | 853d4cec42071b76a80be38c58ffe0fbf9b9dc34 | /venv/Lib/site-packages/nltk/sentiment/__init__.py | a36490373306397a161f0d5c1dca7b6295b80110 | [] | no_license | msainTesting/TwitterAnalysis | 5e1646dbf40badf887a86e125ef30a9edaa622a4 | b1204346508ba3e3922a52380ead5a8f7079726b | refs/heads/main | 2023-08-28T08:29:28.924620 | 2021-11-04T12:36:30 | 2021-11-04T12:36:30 | 424,242,582 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 377 | py | # Natural Language Toolkit: Sentiment Analysis
#
# Copyright (C) 2001-2021 NLTK Project
# Author: Ewan Klein <ewan@inf.ed.ac.uk>
# URL: <http://nltk.org/>
# For license information, see LICENSE.TXT
"""
NLTK Sentiment Analysis Package
"""
from nltk.sentiment.sentiment_analyzer import SentimentAnalyzer
from... | [
"msaineti@icloud.com"
] | msaineti@icloud.com |
c2da014b695577b316d74dae1b9c2c907de8ed3e | f0d713996eb095bcdc701f3fab0a8110b8541cbb | /PE8XQipGLS5bhpLZ5_2.py | e60bb0dda75d0b0ea0f996fcc89dad839dde6e66 | [] | no_license | daniel-reich/turbo-robot | feda6c0523bb83ab8954b6d06302bfec5b16ebdf | a7a25c63097674c0a81675eed7e6b763785f1c41 | refs/heads/main | 2023-03-26T01:55:14.210264 | 2021-03-23T16:08:01 | 2021-03-23T16:08:01 | 350,773,815 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 729 | py | """
Programmer Pete is trying to create a function that returns `True` if two
lists share the same length and have identical numerical values at every
index, otherwise, it will return `False`.
However, the solution his function gives is in an unexpected format. Can you
fix Pete's function so that it behaves as seen... | [
"daniel.reich@danielreichs-MacBook-Pro.local"
] | daniel.reich@danielreichs-MacBook-Pro.local |
33e909cc2a7d877d650bf04726e1d963b32915bd | 8ab1a4b890d7583b6f21db0fc862fdb9d22e6664 | /src/command_modules/azure-cli-documentdb/azure/cli/command_modules/documentdb/commands.py | 3c290f2181135c5236f626414c5913f761b2087d | [
"MIT"
] | permissive | nnasaki/azure-cli | 278c70a20dbfac49801b7b65ae88a578e7a6ee6d | 8b22ba4a0205a46ce0b07e92c6bf398d8d48b41f | refs/heads/master | 2021-01-13T06:58:53.360882 | 2017-02-08T23:40:47 | 2017-02-08T23:40:47 | 81,398,010 | 0 | 0 | null | 2017-02-09T02:10:28 | 2017-02-09T02:10:27 | null | UTF-8 | Python | false | false | 1,994 | py | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | [
"tjprescott@users.noreply.github.com"
] | tjprescott@users.noreply.github.com |
1f851925cb90f92e112fa28d1468096ce839b9fb | 12346be5075d772878a6015053d6eeb4e7227acc | /12. Polymorphism and Magic Methods - Exercise/wild_farm_04/project/animals/mammals.py | 857d5068bee87a3a5832c985a1c0c49a0c7ad4c8 | [
"MIT"
] | permissive | elenaborisova/Python-OOP | 2a46bfafce868f03481fb699580fb3e60ca4e3bd | 584882c08f84045b12322917f0716c7c7bd9befc | refs/heads/main | 2023-04-02T17:41:23.440617 | 2021-04-10T13:56:38 | 2021-04-10T13:56:38 | 321,376,083 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,641 | py | from wild_farm_04.project.animals.animal import Mammal
from wild_farm_04.project.food import Meat, Vegetable, Fruit, Food
class Mouse(Mammal):
WEIGHT_INCREASE = 0.10
def make_sound(self):
return "Squeak"
def feed(self, food: Food):
if not isinstance(food, Vegetable) and not isinstance(fo... | [
"elenaborrisova@gmail.com"
] | elenaborrisova@gmail.com |
dcbd1aecb5497cf2e12342d8438f9d1b378500ac | ce6d74994bce49411f00f5053f56fb3b7c30bd50 | /page/structure.py | 0859c21afc62bb61cf2ff3825444c4050b0bca3d | [] | no_license | zhengjiani/pyAlgorithm | 9397906f3c85221e64f0415abfbb64d03eb1c51e | dbd04a17cf61bac37531e3337ba197c4af19489e | refs/heads/master | 2021-07-11T19:07:26.480403 | 2020-07-16T00:25:24 | 2020-07-16T00:25:24 | 179,308,500 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,277 | py | # -*- coding: utf-8 -*-
# @Time : 2019/5/14 21:26
# @Author : zhengjiani
# @Software: PyCharm
# @Blog ：https://zhengjiani.github.io/
def main():
str1 = 'hello,world!'
#获得字符串首字母大写的拷贝
print(str1.capitalize())
#获得字符串变大写之后的拷贝
print(str1.upper())
#从字符串中查找子串所在的位置
print(str1.find('or'))
... | [
"936089353@qq.com"
] | 936089353@qq.com |
7fcaad79d528734e5298e107e368f264d53eb48b | 7c6ba4a791b437f59c5c3d7cb3df4c8b38b582e1 | /btclib/tests/test_mnemonic.py | 86c55a9498821411113876499cba6d9f5698b842 | [
"MIT"
] | permissive | cryptobuks1/btclib | 7183cfe2796ab0f8c0ba20a3268d32957967f9ea | 652b6f9f543fc4274bf4f9401f41390e6ae89549 | refs/heads/master | 2022-05-26T07:03:44.103226 | 2020-04-29T22:33:41 | 2020-04-29T22:33:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,917 | py | #!/usr/bin/env python3
# Copyright (C) 2017-2020 The btclib developers
#
# This file is part of btclib. It is subject to the license terms in the
# LICENSE file found in the top-level directory of this distribution.
#
# No part of btclib including this file, may be copied, modified, propagated,
# or distributed except... | [
"ferdinando@ametrano.net"
] | ferdinando@ametrano.net |
59d64c4b3cc30cace99d3b6206019add63c53717 | 53784d3746eccb6d8fca540be9087a12f3713d1c | /res/packages/scripts/scripts/client/gui/Scaleform/daapi/view/lobby/customization/__init__.py | 41bc51145ebce250458ecaa725eacc26a0918529 | [] | no_license | webiumsk/WOT-0.9.17.1-CT | 736666d53cbd0da6745b970e90a8bac6ea80813d | d7c3cf340ae40318933e7205bf9a17c7e53bac52 | refs/heads/master | 2021-01-09T06:00:33.898009 | 2017-02-03T21:40:17 | 2017-02-03T21:40:17 | 80,870,824 | 0 | 0 | null | null | null | null | WINDOWS-1250 | Python | false | false | 2,515 | py | # 2017.02.03 21:49:42 Střední Evropa (běžný čas)
# Embedded file name: scripts/client/gui/Scaleform/daapi/view/lobby/customization/__init__.py
from gui.Scaleform.locale.VEHICLE_CUSTOMIZATION import VEHICLE_CUSTOMIZATION
from gui.app_loader.settings import APP_NAME_SPACE
from gui.shared import EVENT_BUS_SCOPE
from gui.S... | [
"info@webium.sk"
] | info@webium.sk |
e778d43ec5600b5a700508ad1a72209a6c9747e1 | 6e635c0ad243c87bea7e2b9243a0a2414b0bce34 | /apps/authentication/migrations/0028_auto_20180508_1149.py | 7e2a59dbd4891bdb01e0a58e4947800eabbcced0 | [] | no_license | devmaster54/tixon | 43f83835658a53d8b49dbade2364f9b528181d27 | 778d9a8fb95c8fe3214a8423905553c71ed7234a | refs/heads/master | 2022-12-08T16:04:48.678987 | 2020-09-21T10:35:27 | 2020-09-21T10:35:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 498 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2018-05-08 11:49
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('authentication', '0027_bankaccount'),
]
operations = [
migrations.AlterField(... | [
"soft.expert32@gmail.com"
] | soft.expert32@gmail.com |
8ac992be682c4341076d777a260fae5d7c51e9bb | a744139b01a9c0f81f215225228ecf999dcf8c54 | /construct | 9c3a36cd13af1be8be4549848e8aa819b5fb2d93 | [] | no_license | Kazade/Platformation2 | 720ee81ae1620fed0b655063680aac244528bfdf | f45a23282f01b50198bba337fed0b0520ebe7d59 | refs/heads/master | 2016-09-05T22:22:40.263315 | 2012-08-08T18:04:39 | 2012-08-08T18:04:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,502 | #!/usr/bin/env python
import sys
import os
import subprocess
def test(build_dir):
subprocess.check_call([
"cmake",
".."
], cwd=build_dir)
subprocess.check_call([
"ctest",
"-v"
], cwd=build_dir)
def build(build_dir):
subprocess.check_call([
"cmake",... | [
"kazade@gmail.com"
] | kazade@gmail.com | |
ef47288aa706a958f4aa96dc746f97807517cd23 | 3ac0923505e1e03a07742355edec43f23ead82b7 | /Daily/PY/Leetcode148-排序链表.py | 1f913ce6d808ffc372248ce13886fbd6d8c9940c | [] | no_license | lock19960613/SCL | 5055c940d2529eef981a29698c7ea04212a8b9de | 3ea28fd8f5d5233411341283c85667e4b9fc64d5 | refs/heads/main | 2023-08-03T04:36:33.555296 | 2021-09-11T06:48:49 | 2021-09-11T06:48:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,318 | py | from typing import List
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
class Solution:
def sortList(self, head: ListNode) -> ListNode:
#前闭后开，只有一个元素就不必归并
def sortfunc(head,tail)->ListNode:
if not head:
return hea... | [
"597494370@qq.com"
] | 597494370@qq.com |
cb1e4850ceac7f39220c7715a4f73b64205e0678 | 727e50c524c229bc7736a757fbc51cc5939b7e10 | /peering/migrations/0066_auto_20201212_2301.py | 4e4b38d466bb48f26c6c81dd75532b740942fc86 | [
"Apache-2.0"
] | permissive | netravnen/peering-manager | 71fbe1801fe6e063ac1b4375cdb9fe3c8c3feee5 | c2a5149b3cb197291e0c9c10040738ce5fb29f02 | refs/heads/main | 2023-08-17T02:56:43.799975 | 2023-07-04T18:23:15 | 2023-07-04T18:23:15 | 149,284,135 | 0 | 0 | Apache-2.0 | 2023-09-11T08:18:27 | 2018-09-18T12:24:28 | Python | UTF-8 | Python | false | false | 1,255 | py | # Generated by Django 3.1.4 on 2020-12-12 22:01
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("peeringdb", "0014_auto_20201208_1856"),
("peering", "0065_auto_20201025_2137"),
]
operations = [
mig... | [
"guillaume@mazoyer.eu"
] | guillaume@mazoyer.eu |
ec7ab34529ebb34beec89f1b1695661f31866fd7 | 357c69a0441089b1cf5b62a0e21825488f02b4f9 | /cart/migrations/0002_auto_20181203_1255.py | fc01db8ae79dff6fecd12ae3b04cdd23aaaea4d4 | [] | no_license | OBAA/oneoverthree_subdomain | 3e40d5ae6a59bf4b97afb4d475d6fa9c736ee170 | 57b42058cb7c49b3b37f5aa1e444dc4650da9188 | refs/heads/master | 2022-12-11T16:13:02.152275 | 2019-03-26T18:53:28 | 2019-03-26T18:53:28 | 157,768,081 | 1 | 0 | null | 2022-11-22T02:56:19 | 2018-11-15T20:23:58 | HTML | UTF-8 | Python | false | false | 440 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.4 on 2018-12-03 11:55
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('cart', '0001_initial'),
]
operations = [
migrations.AlterField(
... | [
"agbanabolu@gmail.com"
] | agbanabolu@gmail.com |
03095ea85a3f9b4f737f8a87456734d2fe174563 | b1bc2e54f8cd35c9abb6fc4adb35b386c12fe6b4 | /toontown/src/parties/StretchingArrow.py | 395a48fcbcaeeaf4a7a62dd12711c78284c15b87 | [] | no_license | satire6/Anesidora | da3a44e2a49b85252b87b612b435fb4970469583 | 0e7bfc1fe29fd595df0b982e40f94c30befb1ec7 | refs/heads/master | 2022-12-16T20:05:13.167119 | 2020-09-11T16:58:04 | 2020-09-11T17:02:06 | 294,751,966 | 89 | 32 | null | null | null | null | UTF-8 | Python | false | false | 5,025 | py | #===============================================================================
# Contact: Carlos Pineda (Schell Games)
# Created: October 2009
#
# Purpose: Arrow widget that stretches from one point to another.
# Used in PartyCogActivity
#===============================================================================... | [
"66761962+satire6@users.noreply.github.com"
] | 66761962+satire6@users.noreply.github.com |
e40a6b0ee9fd1e1182e44ca2841e48e14fdad6e7 | f2889a13368b59d8b82f7def1a31a6277b6518b7 | /532.py | 90b9285049a1d948b8f349ad01b68e170b6c8e1b | [] | no_license | htl1126/leetcode | dacde03de5c9c967e527c4c3b29a4547154e11b3 | c33559dc5e0bf6879bb3462ab65a9446a66d19f6 | refs/heads/master | 2023-09-01T14:57:57.302544 | 2023-08-25T15:50:56 | 2023-08-25T15:50:56 | 29,514,867 | 7 | 1 | null | null | null | null | UTF-8 | Python | false | false | 562 | py | # Ref: https://leetcode.com/problems/k-diff-pairs-in-an-array/discuss/100135/Easy-Understood-Python-Solution
import collections
class Solution(object):
def findPairs(self, nums, k):
"""
:type nums: List[int]
:type k: int
:rtype: int
"""
cnt = collections.Counter(num... | [
"tlhuang@tlhuang.net"
] | tlhuang@tlhuang.net |
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