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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8f900e4a807812f900ab27f85d1512892a94a0bb | 6c189e7654d640dbf56c1481bb2439dbb3353402 | /IPython/html/tests/test_external.py | 00bf4d2b83b4b1bb4b56c956e748976034367ebb | [
"BSD-3-Clause"
] | permissive | zakandrewking/ipython | c39ba65ae8b7f323f061a591906144569a5a2e54 | 3e4d535825d60405fbe8d094b455848d59489cfa | refs/heads/master | 2020-05-05T06:07:01.968458 | 2014-05-07T16:35:37 | 2014-05-07T16:35:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 712 | py | """Test external"""
#-----------------------------------------------------------------------------
# Copyright (C) 2014 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#--------------------------------... | [
"zaking17@gmail.com"
] | zaking17@gmail.com |
7acea09ca55ff4c8012867d77a44b7dd143eaeab | 1fe8d4133981e53e88abf633046060b56fae883e | /venv/lib/python3.8/site-packages/tensorflow/python/ops/distributions/kullback_leibler.py | b8d069bc79d770fe4193fbaf947981a0394075e9 | [] | no_license | Akira331/flask-cifar10 | 6c49db8485038731ce67d23f0972b9574746c7a7 | 283e7a2867c77d4b6aba7aea9013bf241d35d76c | refs/heads/master | 2023-06-14T16:35:06.384755 | 2021-07-05T14:09:15 | 2021-07-05T14:09:15 | 382,864,970 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 129 | py | version https://git-lfs.github.com/spec/v1
oid sha256:c0b7ee140903b8fcf26aad781cc776aa0a35cbc9f9efcc1f0b65c3e7318bcd6a
size 7820
| [
"business030301@gmail.com"
] | business030301@gmail.com |
b019fa4745f8434c4b9e8976e21d77d5308b1bc0 | 2caa47f0bdb2f03469a847c3ba39496de315d992 | /Contest/ABC040/c/main.py | 9e5d1b18c640488baf621790690b16c39aaaaa6c | [
"CC0-1.0"
] | permissive | mpses/AtCoder | 9023e44885dc67c4131762281193c24b69d3b6da | 9c101fcc0a1394754fcf2385af54b05c30a5ae2a | refs/heads/master | 2023-03-23T17:00:11.646508 | 2021-03-20T12:21:19 | 2021-03-20T12:21:19 | 287,489,233 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 212 | py | #!/usr/bin/env python3
n, *a = map(int, open(0).read().split())
INF = float("inf")
dp = [INF] * n
dp[0] = 0
for i in range(1, n):
dp[i] = min(dp[i - p] + abs(a[i - p] - a[i]) for p in [1, 2])
print(dp[n - 1]) | [
"nsorangepv@gmail.com"
] | nsorangepv@gmail.com |
895c65d6ec11f32c7cb39d127fb4f1d7bfac65ce | 84741b2103b702791076e65679b8ab89a132ac3a | /venelin/wsgi.py | 7f14d3ffdae9d8169abafb8e6bacd57b5873b0c9 | [] | no_license | Yaqdata/venko-django-site | 97b78cbeaa9676fb3d230f47036746f1e8a342d6 | eefdf12c9bc6a1873c4f451e1023d9ec691ce300 | refs/heads/master | 2021-01-15T12:14:33.573809 | 2013-12-09T22:12:06 | 2013-12-09T22:12:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 285 | py | import os
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "venelin.settings")
# This application object is used by the development server
# as well as any WSGI server configured to use this file.
import django.core.handlers.wsgi
application = django.core.handlers.wsgi.WSGIHandler()
| [
"vkstoykov@gmail.com"
] | vkstoykov@gmail.com |
b29308f7c9eaaf48077bcadb3fae69b3346e1ec1 | 33bae2dead37bcd22460e05de67531cfdacfcccb | /wis/urls.py | 9f2729796b8a3e3576da8fb4661d1e77a77948b8 | [] | no_license | wis-auralov/wis | 5cfb0dba9c74d8d944b770d9b706de91fe01440d | 40d2e187b448a42008b8db6f00cf17818fff2444 | refs/heads/master | 2021-01-20T07:36:10.174053 | 2017-04-29T18:46:41 | 2017-04-29T18:46:41 | 90,016,639 | 0 | 0 | null | 2017-05-02T09:43:22 | 2017-05-02T09:43:22 | null | UTF-8 | Python | false | false | 848 | py | from django.conf.urls import url, include
from django.contrib import admin
from clients.views import ClientList, ClientDetail, ClientDelete, ClientCreate, ClientScores, download_xlsx
urlpatterns = [
url(r'^admin/', admin.site.urls),
url(r'^client_detail/(?P<pk>[0-9]+)/$', ClientDetail.as_view(), name='client_d... | [
"lse1983@mail.ru"
] | lse1983@mail.ru |
50da310865ec2f297b42c59a7c926b4a47b868cb | ddd5109d8ce1832423448d7f4932255118d56e36 | /apps/gigs/models.py | 5fffeca65ca75cda079ff70d879f2efb2adac79b | [] | no_license | amyth/gigzag | fe5b52677db2ba17083d4fdb059c0a12e6b3646d | 1569fd40aa02c8b7921ad6a7f8f4e8b9ad4cf652 | refs/heads/master | 2021-01-21T07:03:28.397118 | 2017-02-27T12:01:02 | 2017-02-27T12:01:02 | 83,305,491 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,769 | py | import os
import uuid
from django.contrib.auth.models import User
from django.contrib.contenttypes.fields import GenericRelation
from django.core.files import File
from django.db import models
from django.db.models import Q
from django_comments.models import Comment
from liked.models import Like
from moviepy.editor i... | [
"aroras.official@gmail.com"
] | aroras.official@gmail.com |
aaa4bf02509e564a891d5a05ae8f6daf2a153f8a | 98c6ea9c884152e8340605a706efefbea6170be5 | /examples/data/Assignment_7/grcdea001/question1.py | dba5df6eec999efec76cbe617d7ebd465574d3a3 | [] | no_license | MrHamdulay/csc3-capstone | 479d659e1dcd28040e83ebd9e3374d0ccc0c6817 | 6f0fa0fa1555ceb1b0fb33f25e9694e68b6a53d2 | refs/heads/master | 2021-03-12T21:55:57.781339 | 2014-09-22T02:22:22 | 2014-09-22T02:22:22 | 22,372,174 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 357 | py | """Program to print out a list of strings without duplicates, assignment 7 question 1
Dean Gracey
27 April 2014"""
word=input("Enter strings (end with DONE):\n")
words = []
while word!= "DONE":
if not word in words:
words.append(word)
word = input("")
print("\nUnique list:") ... | [
"jarr2000@gmail.com"
] | jarr2000@gmail.com |
054f71754967e78023ad8b59df9cff86e239ca30 | eb71f3494fb00708e6d5e8c332f27c4026063339 | /il2fb/ds/events/definitions/version.py | fac6811fd60d1fe2728ff87ecfeae3f0adc46026 | [
"MIT"
] | permissive | IL2HorusTeam/il2fb-ds-events | dab5fc7ec0b1389c5fc1e975f9134e6ffe35bdee | fb71ffbce63ac1b3b3a27263250e021f9543ba9f | refs/heads/main | 2023-02-01T16:29:18.565016 | 2020-12-22T17:53:45 | 2020-12-22T17:53:45 | 310,578,022 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 223 | py | VERSION_SUFFIX = "a0"
VERSION_PATCH = "0" + (VERSION_SUFFIX or "")
VERSION_MINOR = "0"
VERSION_MAJOR = "1"
VERSION_INFO = (VERSION_MAJOR, VERSION_MINOR, VERSION_PATCH)
VERSION = ".".join([str(x) for x in VERSION_INFO])
| [
"oblovatniy@gmail.com"
] | oblovatniy@gmail.com |
240f1596019daf492691e74383b4bb693596ba6d | db9ff8accaa4d8d4a96d3f9122c0fdc5e83ea2a5 | /openapi_client/model/ebay_offer_details_with_all.py | 372ae213d24be2c51c800d49dfbb5a7dfa0310cb | [] | no_license | agtt/ebay-openapi-inventory | 4754cdc8b6765acdb34f6b8f89b017ccbc6b1d2b | d990c26f16e811431892ac6401c73c4599c2d414 | refs/heads/master | 2023-06-17T10:53:43.204075 | 2021-07-14T18:32:38 | 2021-07-14T18:32:38 | 386,039,734 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 29,026 | py | """
Inventory API
The Inventory API is used to create and manage inventory, and then to publish and manage this inventory on an eBay marketplace. There are also methods in this API that will convert eligible, active eBay listings into the Inventory API model. # noqa: E501
The version of the OpenAPI docum... | [
"csd@hotmail.com.tr"
] | csd@hotmail.com.tr |
d1e5290787f370b38cb318a69f05a1d3326a3937 | bbcae24e3726106d5e86cb2237f2b59177ade67a | /indico/indico.py | a50db692036f3b47bf211a0c73ae83245de7c5d3 | [] | no_license | the16thpythonist/IndicoWp | beba497ba24d9dc6e90b02c9fe645810ad085236 | 86be5f7193ed65add4dae245ee288052a407c603 | refs/heads/master | 2021-05-01T19:24:28.254908 | 2018-03-06T07:04:45 | 2018-03-06T07:04:45 | 121,020,882 | 2 | 0 | null | 2018-02-11T19:03:32 | 2018-02-10T14:10:23 | Python | UTF-8 | Python | false | false | 8,457 | py | import IndicoWp.config as config
import IndicoWp.indico.event as event
import logging
import requests
import json
import urllib.parse as urlparse
# TODO: Make this better with making a response dict a current item and a dict query
class IndicoEventRequestController:
"""
:ivar config: The config parser obje... | [
"jonseb1998@gmail.com"
] | jonseb1998@gmail.com |
aa324cc4383ae2314514c934cf5ae4d5f72ade34 | c7a31023a11b376e543e41b00212dc7eca07b386 | /cryptofeed/kraken/kraken.py | 5bb79d6c9f884c708f916bbad8370bd7e22906d4 | [
"LicenseRef-scancode-warranty-disclaimer",
"Python-2.0"
] | permissive | orens77/cryptofeed | 5d2123f17745be6bf2eb7bf5a96547006e16d083 | d155b30eadb015c7167141a3dbbb8d42af6ae4f0 | refs/heads/master | 2020-04-25T17:45:22.849820 | 2019-06-04T14:51:11 | 2019-06-04T14:51:11 | 172,960,015 | 0 | 0 | NOASSERTION | 2019-02-27T17:31:47 | 2019-02-27T17:31:46 | null | UTF-8 | Python | false | false | 6,183 | py | '''
Copyright (C) 2017-2019 Bryant Moscon - bmoscon@gmail.com
Please see the LICENSE file for the terms and conditions
associated with this software.
'''
import json
import logging
from decimal import Decimal
import time
from sortedcontainers import SortedDict as sd
from cryptofeed.feed import Feed
from cryptofeed.... | [
"bmoscon@gmail.com"
] | bmoscon@gmail.com |
dcb4c855cf299c37b70980412d0997e041832a97 | 3fb0ce33f00b96ae3808a32da44de3e887434afb | /.提出一覧/AtCoder/M-SOLUTIONSプロコンオープン2020/msol_D.py | 57fa6ba1c8ac9cddfb25c897c2153a9acee8c49d | [] | no_license | Yukikazari/kyoupuro | ca3d74d8db024b1988cd0ff00bf069ab739783d7 | 343de455c4344dbcfa4524b492f7f6205c9db26f | refs/heads/master | 2023-02-21T01:53:52.403729 | 2021-01-27T03:55:01 | 2021-01-27T03:55:01 | 282,222,950 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 377 | py | N = int(input())
A = list(map(int, input().split()))
money = 1000
kabu = 0
for i in range(len(A)-1):
if kabu != 0:
if A[i] >= A[i + 1]:
money += kabu * A[i]
kabu = 0
else:
if A[i] < A[i + 1]:
kabu = money // A[i]
money -= kabu * A[i]
if kabu !... | [
"haya_nanakusa793@yahoo.co.jp"
] | haya_nanakusa793@yahoo.co.jp |
e70dabf76a8f2d14e74e6b2353114e4dafe9e649 | adbcc8ff2249dc9906095bf894d2923b197f8af2 | /examples/csj/s5/local/remove_pos.py | 3e354475e35113bfcbd8497b2fc1cf5ff9e61663 | [] | no_license | caochensi/neural_sp | de39d0919aeb6da28b90140be051c124f7efcc3f | 019247ccae7df461f852c5130ea127e395d071dc | refs/heads/master | 2020-04-15T14:49:52.408291 | 2019-01-06T10:52:36 | 2019-01-06T14:43:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,357 | py | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2018 Kyoto University (Hirofumi Inaguma)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Remove POS tag."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import re... | [
"hiro.mhbc@gmail.com"
] | hiro.mhbc@gmail.com |
bc9da59702741b477df186a1ee0522a1e21e0bf8 | 78144baee82268a550400bbdb8c68de524adc68f | /Production/python/Summer16v3/StealthSYY_2t6j_mStop-400_mN1-100_TuneCUEP8M1_13TeV-madgraphMLM-pythia8_cff.py | a29d647b952c42a887fa8cf0e932bea45b6f89b9 | [] | no_license | tklijnsma/TreeMaker | e6989c03189b849aff2007bad22e2bfc6922a244 | 248f2c04cc690ef2e2202b452d6f52837c4c08e5 | refs/heads/Run2_2017 | 2023-05-26T23:03:42.512963 | 2020-05-12T18:44:15 | 2020-05-12T18:44:15 | 263,960,056 | 1 | 2 | null | 2020-09-25T00:27:35 | 2020-05-14T15:57:20 | null | UTF-8 | Python | false | false | 2,217 | py | import FWCore.ParameterSet.Config as cms
maxEvents = cms.untracked.PSet( input = cms.untracked.int32(-1) )
readFiles = cms.untracked.vstring()
secFiles = cms.untracked.vstring()
source = cms.Source ("PoolSource",fileNames = readFiles, secondaryFileNames = secFiles)
readFiles.extend( [
'/store/mc/RunIISummer16Mi... | [
"Alexx.Perloff@Colorado.edu"
] | Alexx.Perloff@Colorado.edu |
629c1017d878bc2ddc0df3e3b6ff940ed56c9452 | 4b29c3e3c8a2cad5071a3fb2ea674253c6f0ef21 | /pycharm/venv/Lib/site-packages/pip/_internal/network/session.py | e8e5ea5ba6ecb8483f2da8eda15aa5f4ea13066f | [] | no_license | yz9527-1/1YZ | a0303b00fd1c7f782b7e4219c52f9589dd3b27b7 | 5f843531d413202f4f4e48ed0c3d510db21f4396 | refs/heads/master | 2022-11-30T23:50:56.682852 | 2020-08-10T02:11:13 | 2020-08-10T02:11:13 | 286,354,211 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,208 | py | """PipSession and supporting code, containing all pip-specific
network request configuration and behavior.
"""
# The following comment should be removed at some point in the future.
# mypy: disallow-untyped-defs=False
import email.utils
import json
import logging
import mimetypes
import os
import platform
import sys
... | [
"2447025220@qq.com"
] | 2447025220@qq.com |
2b02015ba8e96f08cf871f37cd5331da7911e852 | e9e433c57a7d73d848fbade5e354a8c31ff0ea87 | /tests/test_subword_separation.py | 43d1525eb175ddd755df02c966b5532c5a64d8f9 | [
"Apache-2.0"
] | permissive | Joshua0128/codeprep | a7f99533e7b74e089fb66a3f10f6be59d4ca4b71 | 0f41307f7a9ad545e5ec0cc9552a0144328f2422 | refs/heads/master | 2023-07-09T13:07:33.094940 | 2021-04-21T18:08:30 | 2021-04-21T18:08:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,553 | py | # SPDX-FileCopyrightText: 2020 Hlib Babii <hlibbabii@gmail.com>
#
# SPDX-License-Identifier: Apache-2.0
# import unittest
#
# from codeprep.bpepkg.bpe_encode import BpeData
# from codeprep.parse.core import convert_text
# from codeprep.parse.model.containers import SplitContainer
# from codeprep.parse.model.numeric im... | [
"hlibbabii@gmail.com"
] | hlibbabii@gmail.com |
eb940db047f8f17e8e5f77e6aba568932e282e75 | f1624dc174a172aff3b6cf7b9c7d1f2505bb76ee | /code/plot_double_bar_tmp.py | ee014d0f52a5091ca582759f7a4d2e1f81e4de3e | [] | no_license | blxlrsmb/TrendMicro2014 | 5d0bf07a54e8f2123af06cd58beef36ad9cb007d | 63894ede6bbfeb1ce62a5b64c56996dd53c6c2ce | refs/heads/master | 2021-01-10T14:12:56.868967 | 2015-11-21T23:39:36 | 2015-11-21T23:39:36 | 46,638,621 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,000 | py | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
# $File: plot_double_bar_tmp.py
# $Date: Mon Aug 18 06:45:14 2014 +0800
# $Author: Xinyu Zhou <zxytim[at]gmail[dot]com>
from sklearn.datasets import load_svmlight_file
import matplotlib.pyplot as plt
import numpy
import sys
from IPython import embed
def process_data(X, ... | [
"ppwwyyxxc@gmail.com"
] | ppwwyyxxc@gmail.com |
a9c44935af9e748a670870274888deac52241fc7 | c3865ab8c207ee58056be8eda7319acaa9a04654 | /Plots/simple/SimpleBarPlot.py | 4e5aa7de3779008ecd87c21d430eaf7f2ba2977f | [] | no_license | jonathanglima/Python | d42c21cb9030063f172c03efbb598a969db48539 | 43c53b6f20973c31ce95d2891293d344d655d377 | refs/heads/master | 2021-08-08T07:42:56.348207 | 2017-11-09T22:19:17 | 2017-11-09T22:19:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,092 | py | # -*- coding: utf-8 -*-
"""
Created on Tue Jul 07 16:56:32 2015
Simple Bar plot function
@author: Edward
"""
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.font_manager as fm
import os
# global variables
# fontname = 'C:/Users/Edward/Documents/Assignments/Scripts/Python/Plots/resource... | [
"cui23327@gmail.com"
] | cui23327@gmail.com |
72d6334fff676e48b52f9b448c483d6a4750c874 | 524c17cbe94ee67babf817bad3b304e2573aa2da | /Lab4/func.py | 12c785bd1737ed353c5e4ba959d5d126ed932708 | [] | no_license | JoniNoct/python-laboratory | 6707664fa58d6e0fcde8476f9670fcf9c312e830 | 551fdb128bcf113e72fd13ff7441455c830ecf45 | refs/heads/master | 2020-07-29T15:20:26.183289 | 2019-11-11T22:42:42 | 2019-11-11T22:42:42 | 209,859,702 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,094 | py | def checkType(a):
i = 1
if a == "int":
while i == 1:
try:
v = int(input())
i += 1
except:
print("Потрібно ввести число")
return v
elif a == "float":
while i == 1:
try:
v = float(input(... | [
"tereshchenko.igor@gmail.com"
] | tereshchenko.igor@gmail.com |
ca7dcb5b038ec85b1e09b2329b549221e8c3d1ad | c2544163e17fad9a4e5731bd1976bfc9db44f8bd | /reagent/net_builder/discrete_dqn/dueling.py | fc2fe4b2e4cb677386c517f34dfdc563b2f3b93f | [
"BSD-3-Clause"
] | permissive | zachkeer/ReAgent | 52fb805576dc7b1465e35921c3651ff14cd9345e | 3e5eb0391050c39b9d4707020f9ee15d860f28cb | refs/heads/master | 2022-11-25T14:08:21.151851 | 2020-07-22T06:44:28 | 2020-07-22T06:45:48 | 281,907,350 | 1 | 0 | BSD-3-Clause | 2020-07-23T09:21:50 | 2020-07-23T09:21:49 | null | UTF-8 | Python | false | false | 1,216 | py | #!/usr/bin/env python3
from typing import List
from reagent import types as rlt
from reagent.core.dataclasses import dataclass, field
from reagent.models.base import ModelBase
from reagent.models.dueling_q_network import DuelingQNetwork
from reagent.net_builder.discrete_dqn_net_builder import DiscreteDQNNetBuilder
fr... | [
"facebook-github-bot@users.noreply.github.com"
] | facebook-github-bot@users.noreply.github.com |
e5384e5808f75faeb98b36e08e1fdf5188cd9ff4 | 301a7cb5d21808b4442f641ba4396fbd6c1da6f0 | /dataclasses_serialization/serializer_base.py | 9513f627a0877f7ae41e8c6862dc1a5fb057b84f | [
"MIT"
] | permissive | kitschen/python-dataclasses-serialization | 5766b8010ffb3d8af7aa4925b00f733019ca4b2f | c0c4e4e037a01871dccb13c25478f35a9dfb7717 | refs/heads/master | 2022-05-30T06:13:23.474156 | 2020-02-18T17:12:52 | 2020-02-18T17:12:52 | 260,832,071 | 0 | 0 | MIT | 2020-05-03T05:05:06 | 2020-05-03T05:05:05 | null | UTF-8 | Python | false | false | 7,635 | py | from dataclasses import dataclass, fields, is_dataclass
from functools import partial
from typing import TypeVar, Union, Dict, List, get_type_hints
from typing_inspect import is_union_type, get_origin, get_args
from toolz import curry
try:
from typing import GenericMeta
except ImportError:
from typing import... | [
"madman.bob@hotmail.co.uk"
] | madman.bob@hotmail.co.uk |
f0941a9ff0770700eaf5c789d61d647d34b3bcde | 13a5a2ab12a65d65a5bbefce5253c21c6bb8e780 | /dnainfo/skyline_chi/migrations/0007_auto_20161019_1408.py | 61784f86a84c1613426e15ae6a744a2d42ba257a | [] | no_license | NiJeLorg/DNAinfo-CrimeMaps | 535b62205fe1eb106d0f610d40f2f2a35e60a09e | 63f3f01b83308294a82565f2dc8ef6f3fbcdb721 | refs/heads/master | 2021-01-23T19:28:12.642479 | 2017-05-11T06:04:08 | 2017-05-11T06:04:08 | 34,847,724 | 2 | 0 | null | 2016-11-25T15:56:14 | 2015-04-30T10:02:41 | JavaScript | UTF-8 | Python | false | false | 2,612 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.10.1 on 2016-10-19 18:08
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_depende... | [
"jd@nijel.org"
] | jd@nijel.org |
9875fadcf6f959f0bd030c49d8153372772cbd1e | a7c4f8d4e101a4b3961419278809923a6ddbfde7 | /connect.py | a69af0ebbc3139fa555aa28b47aa0bec1878cc76 | [] | no_license | memonsbayu/phyton | 5b7bfabc1a132d7c8ac6d057fbc7e8bb687ecff7 | 858966d11d95ff3fd829179abe1e349f2b84345f | refs/heads/master | 2023-01-01T07:43:23.784410 | 2020-10-22T13:07:09 | 2020-10-22T13:07:09 | 306,339,910 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 303 | py | import mysql.connector
def koneksi():
db = mysql.connector.connect(
host="localhost",
user="root",
passwd="",
database="sewa_alat_olahraga",
autocommit=True
)
if db.is_connected():
return db
else:
print ('DB disconnected!')
| [
"you@example.com"
] | you@example.com |
0b6b42e43e78681a0e3e98a62abf55692dd129ed | ad3011f4d7600eb1b436f1527e1b576910a64b56 | /05_cwiczenia/01_podstawy/06_cwiczenie.py | ed2a29bfc6b92745932f9a079b0001d3a4bdde77 | [] | no_license | pawel-domanski/python-basic | 7a048c7de950d997492c11b4f07888f856908639 | 1adce694d58b4969f843cfc651d3e2a027a4f3f3 | refs/heads/main | 2023-03-21T12:55:22.097946 | 2021-03-06T09:54:09 | 2021-03-06T09:54:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 212 | py | # -*- coding: utf-8 -*-
"""
Używając odpowiedniej metody połącz podane wyrazy symbolem '#':
> sport
> python
> free
> time
Następnie wydrukuj do konsoli.
Oczekiwany rezultat:
sport#python#free#time
""" | [
"krakowiakpawel9@gmail.com"
] | krakowiakpawel9@gmail.com |
87cec23de18905c57c19aafa9befa366d356508a | bab4f301ff7b7cf0143d82d1052f49e8632a210e | /1010. Pairs of Songs With Total Durations Divisible by 60.py | a0b93d4f53a519df6b31b2c79b16534f395f35f8 | [] | no_license | ashish-c-naik/leetcode_submission | 7da91e720b14fde660450674d6ce94c78b1150fb | 9f5dcd8e04920d07beaf6aa234b9804339f58770 | refs/heads/master | 2020-04-05T05:12:03.656621 | 2019-06-08T17:30:22 | 2019-06-08T17:30:22 | 156,585,497 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 482 | py | class Solution(object):
def numPairsDivisibleBy60(self, time):
"""
:type time: List[int]
:rtype: int
"""
hm = collections.defaultdict(int)
count = 0
for x in time:
# if x % 60 == 0:
# count += 1
new = x % 60
... | [
"ashishnaik121@gmail.com"
] | ashishnaik121@gmail.com |
edcf513b1d1c7b3cec4fd78ec26e06b893ead73c | a9c5c6f6aed746cdfaa594db54d7a2d46e33f430 | /LICENSE.md/windpred/rev.py | e654404ff6da9e277f6a2ebb1c776a14f88de152 | [] | no_license | nyc1893/Python-Learning | a7b81d169c4678c199a61aa4c7d226ce927aa8d8 | 13bc6b8cc28c25df2730d9672d419cd57cab55d4 | refs/heads/master | 2023-07-20T23:08:38.164660 | 2023-07-06T14:35:29 | 2023-07-06T14:35:29 | 101,700,286 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,785 | py | import math
import pandas as pd
import numpy as np
import statsmodels.api as sm # recommended import according to the docs
import matplotlib.pyplot as plt
from scipy.stats import genpareto
# delta p are used
import math
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import timeit
from sklearn.... | [
"noreply@github.com"
] | nyc1893.noreply@github.com |
4fa2ed4953655341861de67ea4bdc73d68fb9f5f | 1dacbf90eeb384455ab84a8cf63d16e2c9680a90 | /Examples/bokeh/charts/file/scatter_multi.py | 0d60b5f6af7af7857ba99101beed2f2f5abe3f18 | [
"Apache-2.0",
"BSD-3-Clause",
"LicenseRef-scancode-unknown"
] | permissive | wangyum/Anaconda | ac7229b21815dd92b0bd1c8b7ec4e85c013b8994 | 2c9002f16bb5c265e0d14f4a2314c86eeaa35cb6 | refs/heads/master | 2022-10-21T15:14:23.464126 | 2022-10-05T12:10:31 | 2022-10-05T12:10:31 | 76,526,728 | 11 | 10 | Apache-2.0 | 2022-10-05T12:10:32 | 2016-12-15T05:26:12 | Python | UTF-8 | Python | false | false | 2,207 | py |
import pandas as pd
from bokeh.charts import Scatter, output_file, show, vplot, hplot, defaults
from bokeh.charts.operations import blend
from bokeh.charts.utils import df_from_json
from bokeh.sampledata.autompg import autompg as df
from bokeh.sampledata.iris import flowers
from bokeh.sampledata.olympics2014 import d... | [
"wgyumg@mgail.com"
] | wgyumg@mgail.com |
451dbc04f9f9a357113e55a6e8573541403d21aa | 8ada05f8c41e2b238f1dad053d6abf66bc53f633 | /1600~1699/1629.py | 1db19048448ac5d342d57fec807edb6153a4b40b | [] | no_license | chulhee23/BaekJoon_Online_Judge | 84ccd9f2223ea57ab305b9ee27dac0c7e8222df4 | b1afcaaba63e49552363a003ff2be8a5878a78a7 | refs/heads/master | 2020-09-22T00:18:39.822112 | 2019-11-24T08:21:00 | 2019-11-24T08:21:00 | 224,983,873 | 0 | 1 | null | 2019-11-30T08:44:22 | 2019-11-30T08:44:21 | null | UTF-8 | Python | false | false | 484 | py |
# 문제
# 자연수 A를 B번 곱한 수를 알고 싶다.
# 단 구하려는 수가 매우 커질 수 있으므로
# 이를 C로 나눈 나머지를 구하는 프로그램을 작성하시오.
#
# 입력
# 첫째 줄에 A, B, C가 빈 칸을 사이에 두고 순서대로 주어진다.
# A, B, C는 모두 2,147,483,647 이하의 자연수이다.
#
# 출력
# 첫째 줄에 A를 B번 곱한 수를 C로 나눈 나머지를 출력한다.
print(pow(*map(int, input().split())))
| [
"alstn2468_@naver.com"
] | alstn2468_@naver.com |
a5d288adf3bf422f7a0fc81863207a92aadde21d | d9f52125601ec26f79202f0e912891b31b60ffc4 | /오후반/Introduction/6_Write_a_function/6_JHW.py | c190540064743a984c2c22f1d8da69ea32296212 | [] | no_license | YoungGaLee/2020_Python_coding-study | 5a4f36a39021c89ac773a3a7878c44bf8b0b811f | b876aabc747709afa21035c3afa7e3f7ee01b26a | refs/heads/master | 2022-12-12T13:34:44.729245 | 2020-09-07T04:07:48 | 2020-09-07T04:07:48 | 280,745,587 | 4 | 4 | null | 2020-07-22T03:27:22 | 2020-07-18T21:51:40 | Python | UTF-8 | Python | false | false | 201 | py | def is_leap(year):
leap = False
if year%400==0:
leap = True
if year==1992:
leap = True
# Write your logic here
return leap
year = int(input())
print(is_leap(year))
| [
"noreply@github.com"
] | YoungGaLee.noreply@github.com |
467d21c0b49dff3c3bce69d7006e14d3f82a3063 | 9dc00969cbb9ab462836c548927c0a471f8a9737 | /05列表优化及去重/05-method1.py | bcb0163750b2b7f0ba3004ea8d561e79ec761c37 | [] | no_license | wan230114/JUN-Python | ad2cb901881b3b6f07a7cdd42ac0ff2c86e8df56 | 3619c8e392c241bd1c9b57dbc16a1f2f09ccc921 | refs/heads/master | 2021-05-01T09:51:01.309505 | 2018-08-31T07:12:31 | 2018-08-31T07:12:31 | 121,096,578 | 0 | 0 | null | 2018-02-11T07:34:54 | 2018-02-11T07:15:42 | null | UTF-8 | Python | false | false | 468 | py | #!usr/bin/python
row = open('row_list', 'r')
clean = open('clean_list', 'w+')
uni = open('uni', 'w')
for line in row:
new_line=''
for line1 in line.strip():
if line1=='.':break
new_line=new_line+line1
clean.write(new_line+'\n')
print new_line
cl... | [
"1170101471@qq.com"
] | 1170101471@qq.com |
f83748286858d4ca788884511300b237b5cf3cd0 | eba4934e6af6ec85d286c336dbc2c0f27013110d | /mxnetseg/data/cityscapes.py | 8bd95d8aab0fa9d8025b6819fd3934d769a7c0c9 | [
"Apache-2.0"
] | permissive | jeou/MXNetSeg | a87c349a12c7c2a77018628e5a231cf8624a5e1c | 8a700aa2c2d939fce11b52bde7291ef231c9bfaa | refs/heads/master | 2022-10-21T18:24:18.864007 | 2020-06-14T10:10:18 | 2020-06-14T10:10:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,758 | py | # coding=utf-8
# Adapted from: https://github.com/dmlc/gluon-cv/blob/master/gluoncv/data/cityscapes.py
import os
import mxnet as mx
import numpy as np
from PIL import Image
from gluoncv.data.segbase import SegmentationDataset
class CitySegmentation(SegmentationDataset):
NUM_CLASS = 19
def __init__(self, roo... | [
"bebdong@outlook.com"
] | bebdong@outlook.com |
bce858e5ade4868147186f01125ce9ce7fdd7da8 | 6fa7f99d3d3d9b177ef01ebf9a9da4982813b7d4 | /6kseWBaSTv6GgaKDS_13.py | 450ef2b91638e545ce5a4241819dcf90166b90f5 | [] | no_license | daniel-reich/ubiquitous-fiesta | 26e80f0082f8589e51d359ce7953117a3da7d38c | 9af2700dbe59284f5697e612491499841a6c126f | refs/heads/master | 2023-04-05T06:40:37.328213 | 2021-04-06T20:17:44 | 2021-04-06T20:17:44 | 355,318,759 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 437 | py |
def next_letters(s):
if s == '' :
return 'A'
elif s.count('Z') == len(s) :
return (len(s)+1)*'A'
else :
z = 0 # number of z at the end of our string
while s[::-1][z] == 'Z' : z += 1
pA, pZ = s[::-1][:z:-1], s[-z-1:] # splitting into 2 parts : constant/changed
... | [
"daniel.reich@danielreichs-MacBook-Pro.local"
] | daniel.reich@danielreichs-MacBook-Pro.local |
a63169009d6cf39d1f227d2d919b8ec6de5bfdb6 | f5863cf378bce80d3aa459941dff79ea3c8adf5d | /SWEA/SW_TEST/SWEA_1949/SWEA_1949.py | fb26396032d958d97a1532f3d9ec7a520523d8a2 | [] | no_license | Taeg92/Problem_solving | 815c13ae7895708948482eeb05411322be00ac12 | 15c0fe0eda4f77d974451777cb01d10882d8aaa9 | refs/heads/master | 2021-11-18T22:03:21.727840 | 2021-09-06T14:21:09 | 2021-09-06T14:21:09 | 235,335,532 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,159 | py | # Problem [1949] : 등산로 조정
import sys
sys.stdin = open('input.txt')
dx = (-1, 0, 1, 0)
dy = (0, 1, 0, -1)
def DFS(x, y, d, k):
global m
if m < d:
m = d
C[x][y] = 1
for i in range(4):
nx = x + dx[i]
ny = y + dy[i]
if 0 <= nx < N and 0 <= ny < N and not C[nx][ny]:
... | [
"gtg92t@gmail.com"
] | gtg92t@gmail.com |
cde4c54c06cb50520ce9a6332ddf90e346690b55 | a06586c101a31bf6c9a7dc307cf664120ac092fd | /Trakttv.bundle/Contents/Code/core/helpers.py | 0a18e71922fa1e88e21953945d60d23bf924f0e6 | [] | no_license | HaKDMoDz/Plex-Trakt-Scrobbler | 22dd1d8275698761cb20a402bce4c5bef6e364f9 | 6d46cdd1bbb99a243b8628d6c3996d66bb427823 | refs/heads/master | 2021-01-22T00:10:18.699894 | 2015-05-25T23:52:45 | 2015-05-25T23:52:45 | 37,312,507 | 2 | 0 | null | 2015-06-12T09:00:54 | 2015-06-12T09:00:53 | null | UTF-8 | Python | false | false | 8,062 | py | from core.logger import Logger
import hashlib
import inspect
import re
import sys
import threading
import time
import unicodedata
log = Logger('core.helpers')
PY25 = sys.version_info[0] == 2 and sys.version_info[1] == 5
def try_convert(value, value_type, default=None):
try:
return value_type(value)
... | [
"gardiner91@gmail.com"
] | gardiner91@gmail.com |
111e6b5d2743a33767a2b20fe559d5eb6d64d37b | 21a1b71ab16d81cb82cae39736b196306df2d471 | /road_detection2/4.2.road_detecting_using_cam.py | ab8ae27530c48b14ce652d0d1a1a737b7d192275 | [] | no_license | aiegoo/jet-notebook | 2eb10ffbe100c609ab5cf356c905e84d9129f2a7 | dc3dc58cb5c5e238bc55250d1129b0427757486b | refs/heads/master | 2023-02-07T21:30:39.800359 | 2021-01-04T01:59:51 | 2021-01-04T01:59:51 | 318,427,706 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,223 | py | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import matplotlib.pyplot as plt
import cv2, time
from jetbot import Camera
from jetbot import bgr8_to_jpeg
import ipywidgets.widgets as widgets
import traitlets
# In[2]:
def preprocessing(img):
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
g... | [
"eozz21@gmail.com"
] | eozz21@gmail.com |
7885a575a145cf4ac99a1fc23ef14aae400998b3 | eacff46eda2c6b509449979a16002b96d4645d8e | /Collections-a-installer/community-general-2.4.0/plugins/modules/librato_annotation.py | 6a7a7d7ebff8bbd763080a07fdf2f44aa777230b | [
"MIT",
"GPL-3.0-only",
"GPL-3.0-or-later"
] | permissive | d-amien-b/simple-getwordpress | 5e6d4d15d5f87124ab591e46b63fec552998fdc3 | da90d515a0aa837b633d50db4d91d22b031c04a2 | refs/heads/master | 2023-04-08T22:13:37.347545 | 2021-04-06T09:25:51 | 2021-04-06T09:25:51 | 351,698,069 | 0 | 0 | MIT | 2021-03-31T16:16:45 | 2021-03-26T07:30:00 | HTML | UTF-8 | Python | false | false | 32 | py | monitoring/librato_annotation.py | [
"test@burdo.fr"
] | test@burdo.fr |
29c691b36c36a0ce2059bd0c694533d59f1f55e2 | b1392c69fcbdcb5ecd798b473e22a6ce9e2e8e44 | /CorazonPet/apps/tipo_mascota/admin.py | b0b445cb697c981a0e7be68febad73d93172206b | [] | no_license | joselofierro/CorazonPet | 34a1b9a3ea72d81f48f1059b6b27ad080f643738 | f92c297b16e8b133c57af73560efef34c064c104 | refs/heads/master | 2021-11-28T19:13:45.353617 | 2018-01-09T22:42:52 | 2018-01-09T22:42:52 | 111,141,800 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 145 | py | from django.contrib import admin
# Register your models here.
from apps.tipo_mascota.models import TipoMascota
admin.site.register(TipoMascota) | [
"juliofierro@Mac-mini-de-JULIO.local"
] | juliofierro@Mac-mini-de-JULIO.local |
6a2ec327abe96a1032005e64bb9bbca2e24d3680 | aa76391d5789b5082702d3f76d2b6e13488d30be | /Private Project/Web Scrap/practice/ruliweb_login.py | bae40ed151b3f4cf80c2d9f9b8e1e5a97ec6b465 | [] | no_license | B2SIC/python_playground | 118957fe4ca3dc9395bc78b56825b9a014ef95cb | 14cbc32affbeec57abbd8e8c4ff510aaa986874e | refs/heads/master | 2023-02-28T21:27:34.148351 | 2021-02-12T10:20:49 | 2021-02-12T10:20:49 | 104,154,645 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 917 | py | import requests
from getpass import getpass
from bs4 import BeautifulSoup
getId = input("ID: ")
getPw = getpass("Pw: ")
# 로그인 유저 정보
LOGIN_INFO = {
'user_id': getId,
'user_pw': getPw
}
# Session 생성, with 구문안에서 유지
with requests.Session() as s:
login_req = s.post("https://user.ruliweb.com/member/login_proc"... | [
"the_basic_@kookmin.ac.kr"
] | the_basic_@kookmin.ac.kr |
44d2410162daaf7d58035ca9b610b8649dd10f80 | 7d91170c0c6b7abb0784a8521755aefee650f7e3 | /dTV8Osyh54U70Fqx/XSrAzcw0TGY3JpQq.py | 279a4dec4f95820a45c2cca4b59aa312566d45a8 | [] | no_license | urlib/usi35g | e577ca090fc4a60b68662d251370a7cd7cc2afe3 | 46562fa29da32e4b75d8f8fd88496e95a3937099 | refs/heads/master | 2021-04-08T04:02:59.860711 | 2020-04-15T04:22:45 | 2020-04-15T04:22:45 | 248,737,049 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 39,552 | py | ╺𥤄𦭾𧨸𥐝ᗮ庸⎏ꇼ𦲑𤦧𬦶쳽𣃯缍𬻐彅캷闠🦃𐰈糢𬊓𥮀ﰲ𤂌𛇣𮣕孧𪗫𩒙㩦𠬱框𧀮檑𧒬𝛵📱𦾓𨽍𡫦𥶍𣕵卹𣴧𐄮𡹯𦇁𨛈팀𗄀𠮀ُ詪𦋐𑐙ୈ𩣍㓟𗂌𗃙𨅤𧙲𣏙𪸯𠥽莎𬻈ᄩ𢑫Ꜩ𧣩𪉩뒇𩑝棪扟🠕𠂮𤼣𡗯𫉎➫𢼀띡𧉜𔖛𢥪𠞭𨏤澷𞋄𢹰𬅍뇗𡑥謱赙𡲨𠉓嬌嗑𝈎𣣤ᯜ뾯騌퐡㵏⮑뷷➡𒄞蓡𖨈𡉆遘皊𥐌𢨋킮䅇𩝠퓶〮𧁡𦐺𩹄𓉍𐜌𡗫𤬈𦆯𨾑椻툃娄⽆毿ﾇ䰎𫈸𖺄𥞍簇⭫Ⅲ峯異ά𮒖𩑳瓓𪈂䦘걏ᄊ𥸸𦧒𣭭𧲪𪓶磌𢒬薀𪁜뗐皁ဎ𪮙ꚤ𪦢𧓛䭥𢷕黷䝆𤻩𠩋𗲚𐼕𮢲𢛑𡰐𢜙｢𥒰ⲃ摧𗸇ॆ纂𦝳𧭅𢏶𩽦𨎍𨙿𤺄�... | [
"45290401+vmlankub@users.noreply.github.com"
] | 45290401+vmlankub@users.noreply.github.com |
355af19dc2658d6f894db7b2443035b55fd6cc83 | 1eb2d7d2a6e945a9bc487afcbc51daefd9af02e6 | /spider/paperspider/papers/papers/spiders/conference2cn.py | 578441368a8e57ac02bdea595a983211dac5dc19 | [] | no_license | fengges/eds | 11dc0fdc7a17b611af1f61894f497ad443439bfe | 635bcf015e3ec12e96949632c546d29fc99aee31 | refs/heads/master | 2021-06-20T04:43:02.019309 | 2019-06-20T12:55:26 | 2019-06-20T12:55:26 | 133,342,023 | 0 | 3 | null | null | null | null | UTF-8 | Python | false | false | 3,558 | py | # # -*- coding: utf-8 -*-
#
# import json
# import scrapy
# import os
# import execjs
# from spider.paperspider.papers.papers.services.paperservices import paper_service
# from spider.paperspider.papers.papers.items import *
#
# root = os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__fi... | [
"1059387928@qq.com"
] | 1059387928@qq.com |
08b71c71719234f47e47bfdfff69dffb78d99429 | 18239524612cf572bfeaa3e001a3f5d1b872690c | /clients/keto/python/ory_keto_client/api/write_api.py | a300af508466dad4c20e2779389d9e13ee2b4190 | [
"Apache-2.0"
] | permissive | simoneromano96/sdk | 2d7af9425dabc30df830a09b26841fb2e8781bf8 | a6113d0daefbbb803790297e4b242d4c7cbbcb22 | refs/heads/master | 2023-05-09T13:50:45.485951 | 2021-05-28T12:18:27 | 2021-05-28T12:18:27 | 371,689,133 | 0 | 0 | Apache-2.0 | 2021-05-28T12:11:41 | 2021-05-28T12:11:40 | null | UTF-8 | Python | false | false | 14,732 | py | """
ORY Keto
Ory Keto is a cloud native access control server providing best-practice patterns (RBAC, ABAC, ACL, AWS IAM Policies, Kubernetes Roles, ...) via REST APIs. # noqa: E501
The version of the OpenAPI document: v0.6.0-alpha.5
Contact: hi@ory.sh
Generated by: https://openapi-generator.tech... | [
"3372410+aeneasr@users.noreply.github.com"
] | 3372410+aeneasr@users.noreply.github.com |
c40bb05e041686ddc9a84e2e9662c6b79990c8ae | b4869228738cdcd1a5fcb10b2091b78415ca9741 | /algorithmic-toolbox/week6/knapsack.py | ac783dfb88a227e9feaa93a0399a47c5c62f643b | [] | no_license | mmanishh/coursera-algo-toolbox | 8d23d18985acfb33f44f08ac8c306fdb68dc3e88 | d3153904732ab5b4125fc8913fcea6e969028822 | refs/heads/master | 2020-04-13T19:17:03.421935 | 2019-01-14T11:15:06 | 2019-01-14T11:15:06 | 163,397,885 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 885 | py | # Uses python3
import sys
def optimal_weight_naive(W, w):
# write your code here
result = 0
for x in w:
if result + x <= W:
result = result + x
return result
def optimal_weight(W,w):
n = len(w)
value = [[0 for j in range(W+1)] for i in range(n+1)]
for i in range(1,n+1)... | [
"dfrozenthrone@gmail.com"
] | dfrozenthrone@gmail.com |
de75953113f38f1ca7a911263a44bf7b01dc222d | 0a0c6994c319981f7ba5d31eee3b074453ca4c0d | /autres/ahmedmelliti/module/__init__.py | b56955a8c3ed1a936aabb84a3da36d040ed5a34f | [] | no_license | arianacarnielli/2i013 | 678595c498cba5ec932ee9badd4868a08dad0663 | a804abb7c2337fe9963c2ddfcd73db80d8b787d8 | refs/heads/master | 2021-05-10T13:30:21.353951 | 2018-05-08T14:17:40 | 2018-05-08T14:17:40 | 118,476,287 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 853 | py | #from .strategies import RandomStrategy
#from .strategies import *
from .strategies import *
from soccersimulator import SoccerTeam
def get_team(nb_players):
myteam = SoccerTeam(name="MaTeam")
#for i in range(nb_players):
# myteam.add("Joueur "+str(i) ,FonceurStrategy())
if nb_players==1:
myteam.add("J... | [
"ariana.carnielli@gmail.com"
] | ariana.carnielli@gmail.com |
85c46754048661ed70e41167e6a0ba3fb08340df | bddc40a97f92fafb8cbbbfdbdfe6774996578bb0 | /exercicioLista_listas/ex04.py | 41c3c3e877a2ead3a68266440beefacbecb10b67 | [] | no_license | andrehmiguel/treinamento | 8f83041bd51387dd3e5cafed09c4bb0a08d0e375 | ed18e6a8cfba0baaa68757c12893c62a0938a67e | refs/heads/main | 2023-01-31T13:15:58.113392 | 2020-12-16T02:47:44 | 2020-12-16T02:47:44 | 317,631,214 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 426 | py | # 4. Faça um Programa que leia um vetor de 10 caracteres, e diga quantas consoantes
# foram lidas. Imprima as consoantes.
listaChar = []
consoantes = 0
print ('Informe 10 caracters')
for x in range(10):
listaChar.append(input(f'Informe o {x + 1}º caracter: '))
char = listaChar[x]
if(char not in ('a','e','i... | [
"andrehmiguel@outlook.com"
] | andrehmiguel@outlook.com |
305a36881d7b04e423b340695be5258894e8f796 | 784359e29fce9b3cd7c4c2d71e5f0498dd6d4b5c | /src/test.py | 3c1dc8f967ea7179b24fec3646130ef5391d7ded | [] | no_license | lmorillas/imagenes-arasaac | 65740df76a8d8f43493464153eea08d93687df68 | 48bec6df2095dda1ab2db5b08b4dccaae1ffe5e0 | refs/heads/master | 2021-05-11T10:13:07.999743 | 2018-01-19T08:18:36 | 2018-01-19T08:18:36 | 118,097,208 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,024 | py | # coding: utf-8
'''
https://stackoverflow.com/questions/25615741/how-to-use-the-spanish-wordnet-in-nltk
http://python.6.x6.nabble.com/attachment/2743017/0/Python%252520Text%252520Processing%252520with%252520NLTK%2525202.0%252520Cookbook.pdf
https://www.pybonacci.org/2015/11/24/como-hacer-analisis-de-sentimiento-en-es... | [
"morillas@gmail.com"
] | morillas@gmail.com |
06a5d6e41fa605cea837fb39e38f115ddd43e2f2 | ee974d693ca4c4156121f8cb385328b52eaac07c | /env/lib/python3.6/site-packages/pbr/pbr_json.py | c18362b03df827909c74e5c536a42156e97ecada | [] | no_license | ngonhi/Attendance_Check_System_with_Face_Recognition | f4531cc4dee565d0e45c02217f73f3eda412b414 | 92ff88cbc0c740ad48e149033efd38137c9be88d | refs/heads/main | 2023-03-12T07:03:25.302649 | 2021-02-26T15:37:33 | 2021-02-26T15:37:33 | 341,493,686 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 129 | py | version https://git-lfs.github.com/spec/v1
oid sha256:686172037b3d816c532f2e6aad2cfc06e034a7e538b9be33bf7a1f7a559cd64f
size 1284
| [
"Nqk180998!"
] | Nqk180998! |
2f10850113a8aa2ce3f91329981f97d4fbd9a4c8 | 0e36d40275c09b94a3927f9530b5ee95a710960c | /mysite/mysite/settings.py | af0fc86bb54c9bd4fcbf34af58e1290a0598c8f4 | [] | no_license | pku-cs-code/python-linux_Learning | 6c681f227f7dd106990ac77c66780b06758340d5 | ed58cd80e8066590a942f0b1369e45ecd5837c73 | refs/heads/master | 2021-01-01T06:40:48.418551 | 2017-11-05T04:02:29 | 2017-11-05T04:02:29 | 97,451,613 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,096 | py | """
Django settings for mysite project.
Generated by 'django-admin startproject' using Django 1.11.3.
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/
"""
import os
... | [
"414220021@qq.com"
] | 414220021@qq.com |
815b00ec395cb0cfa575f77a0073e2eace93b7db | a9815c48ece2064c0b35e5f5ea76fa460ee67e43 | /Commands/Rainbow.py | 6716958404cb2c996b15c812739b04611ecea790 | [
"MIT"
] | permissive | Heufneutje/PyMoronBot | 1ca0ef3877efa4ca37de76a1af3862085515042e | 055abf0e685f3d2fc02863517952dc7fad9050f3 | refs/heads/master | 2020-12-28T21:39:11.871132 | 2016-07-14T16:38:15 | 2016-07-14T16:38:15 | 24,449,387 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,386 | py | # -*- coding: utf-8 -*-
"""
Created on May 04, 2014
@author: Tyranic-Moron
"""
from CommandInterface import CommandInterface
from IRCMessage import IRCMessage
from IRCResponse import IRCResponse, ResponseType
from twisted.words.protocols.irc import assembleFormattedText, attributes as A
class Rainbow(CommandInterf... | [
"matthewcpcox@gmail.com"
] | matthewcpcox@gmail.com |
a084b0e7a5d66b9462e3e0f4016dca8595899060 | 42e2d31fe71e1a2c0b50a5d4bbe67e6e3e43a2ef | /contrib/devtools/check-doc.py | 1b3264bca50da1765ffaf44ca268e87bec46ddfa | [
"MIT"
] | permissive | coinwebfactory/aiascoin | aceed1ebcb069b03d1fea3384d9d5beca06bc223 | c8741cad5264a2d4c0bbca7813c4f4ad390915ae | refs/heads/master | 2020-03-24T16:29:51.130395 | 2018-08-28T09:56:10 | 2018-08-28T09:56:10 | 142,826,697 | 0 | 0 | MIT | 2018-07-30T04:58:29 | 2018-07-30T04:58:28 | null | UTF-8 | Python | false | false | 1,910 | py | #!/usr/bin/env python
# Copyright (c) 2015-2016 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
'''
This checks if all command line args are documented.
Return value is 0 to indicate no error.
Author: @... | [
"root@localhost"
] | root@localhost |
4ae43f49201a2697b237431281d61c7915d07ecd | 73becab05c869290177c82f40507d181398ba68d | /docs/_build/jupyter_execute/content/toi_notebooks/toi_2188.py | 5e49540bacad3dfee25c2b38cbbb801f9765eb9f | [] | no_license | avivajpeyi/tess_atlas_dev | 8461cb2ce1c95b169aeeec5a8deebf520a98e85d | 9470109a6029a36a640917324d42d527c0dc8456 | refs/heads/main | 2023-08-18T19:39:03.523060 | 2021-10-13T04:32:45 | 2021-10-13T04:32:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,516 | py | #!/usr/bin/env python
# coding: utf-8
# # TESS Atlas fit for TOI 2188
#
# **Version: '0.2.1.dev30+g4180b55.d20210911'**
#
# **Note: This notebook was automatically generated as part of the TESS Atlas project. More information can be found on GitHub:** [github.com/dfm/tess-atlas](https://github.com/dfm/tess-atlas)
# ... | [
"avi.vajpeyi@gmail.com"
] | avi.vajpeyi@gmail.com |
663424fd44e897ae383df66011f4a1f60bed3000 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p02990/s076168357.py | 2db79e763da1248e48e6dfc6516dac1e7d408771 | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 219 | py | mod = 10**9+7
N, K = map(int, input().split())
print(N-K+1)
i = 2
C1 = N-K+1
C2 = 1
while i <= K:
C1 *= ((N-K+1-(i-1))*pow(i, mod-2, mod))%mod
C2 *= ((K-(i-1))*pow(i-1, mod-2, mod))%mod
print((C1*C2)%mod)
i += 1 | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
054a2be80baef36aea5f876de706b94da37caafe | 50e089f906489b2586cc586712420fd085f1f637 | /machine_learning.py | dd758d6b668604304b9f3b47f2727a1ac5ec2109 | [] | no_license | AaronTho/Python_Notes | 5ab629e3b3d49be5c68d2a285a79683dc604cd3e | 4aa0e1fb4a35763458a1da467e1bb01e393bc972 | refs/heads/main | 2023-07-24T00:59:23.552952 | 2021-09-11T17:32:25 | 2021-09-11T17:32:25 | 375,399,260 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 915 | py | # Import the Data
# Clean the Data
# Split the Data into Training/Test Sets
# Create a Model
# Train the Model
# Make Predictions
# Evaluate and Improve
# Libraries and Tools:
# Numpy
# Pandas
# MatPlotLIb
# Scikit-Learn
# Jupyter is the a good machine learning environment
# Install Anaconda (had to also install the ... | [
"aamith@gmail.com"
] | aamith@gmail.com |
11aaed6107aedc9ed2c355a0818e5438c2ac20fc | b0f0473f10df2fdb0018165785cc23c34b0c99e7 | /Peach.Core/Lib/locale.py | 0c6cc1ccaf9fae1c80663ef6c11e43e25b61f48b | [] | no_license | wimton/Meter-peach | d9294a56ec0c1fb2d1a2a4acec1c2bf47b0932df | af0302d1789a852746a3c900c6129ed9c15fb0f4 | refs/heads/master | 2023-04-25T22:54:31.696184 | 2021-05-19T13:14:55 | 2021-05-19T13:14:55 | 355,202,202 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 100,040 | py | """Locale support module.
The module provides low-level access to the C lib's locale APIs and adds high
level number formatting APIs as well as a locale aliasing engine to complement
these.
The aliasing engine includes support for many commonly used locale names and
maps them to values suitable for passing to the C l... | [
"wimton@yahoo.com"
] | wimton@yahoo.com |
bdf608e30942d1e434a5454fe9cbc342f5efd52f | d10e19f07b209b2fa661fb616947d0382fd0bbb0 | /util/reload/del_e.py | ddff6d5f5e907b62b99314dae8f2bfa3b02afe35 | [] | no_license | Do3956/test | 6bda9633aa2762b8f0f4b05b154810107c40d9ee | 15bbc285dc3acbbabaefb188cb264e56fb24c84d | refs/heads/master | 2021-07-02T23:52:29.519329 | 2018-02-07T06:19:28 | 2018-02-07T06:19:28 | 95,771,394 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 345 | py | # -*- coding: utf-8 -*-
"""
__author__ = 'do'
__mtime__ = '2018/1/11'
__content__ = '析构函数重载'
"""
class Life:
def __init__(self, name='name'):
print 'Hello', name
self.name = name
def __del__(self):
print 'Goodby', self.name
brain = Life('Brain') # call __init__
brain = 'loretta' #... | [
"395614269@163.com"
] | 395614269@163.com |
ce2ea39a792d9d09f4cc66658a211858bd44ab01 | 5667cc877342204b7d54b6c3cc5a9f4854f08829 | /.history/apppersona/forms_20201101194225.py | fafb266b000ff5ea951dc20c6446324342a53378 | [] | no_license | Nyckhos/TestCommit | d62e3f6fefb04ab5647475cc7ead0d72cbd89efa | 9aa8e2e35280b7862960cc8a864e9c02ac7f4796 | refs/heads/main | 2023-01-05T05:57:59.223641 | 2020-11-02T02:08:18 | 2020-11-02T02:08:18 | 309,237,224 | 2 | 0 | null | 2020-11-02T02:30:43 | 2020-11-02T02:30:43 | null | UTF-8 | Python | false | false | 3,647 | py | from django import forms
from django.db import models
from django.db.models.fields import CharField, EmailField
from django.forms import ModelForm, Textarea
from django.forms.widgets import EmailInput, HiddenInput, PasswordInput, Select, TextInput
from .models import Persona
from django.contrib.auth.models import User... | [
"fernandox_240997@live.com"
] | fernandox_240997@live.com |
7b3468eb08adcb7c9eab99a524080c7e23f65b33 | 255e7b37e9ce28bbafba5a3bcb046de97589f21c | /suqing/fuckal/python/linkedlist/reverse-nodes-in-k-group.py | 99781eaab54715ab585558e6417e2f13b6e426ff | [] | no_license | dog2humen/ForTheCoffee | 697d2dc8366921aa18da2fa3311390061bab4b6f | 2f940aa9dd6ce35588de18db08bf35a2d04a54f4 | refs/heads/master | 2023-04-15T09:53:54.711659 | 2021-04-28T13:49:13 | 2021-04-28T13:49:13 | 276,009,709 | 2 | 2 | null | 2020-07-01T08:29:33 | 2020-06-30T05:50:01 | Python | UTF-8 | Python | false | false | 1,684 | py | # coding:utf8
"""
25. K 个一组翻转链表
给你一个链表，每 k 个节点一组进行翻转，请你返回翻转后的链表。
k 是一个正整数，它的值小于或等于链表的长度。
如果节点总数不是 k 的整数倍，那么请将最后剩余的节点保持原有顺序。
输入：head = [1,2,3,4,5], k = 2
输出：[2,1,4,3,5]
链接：https://leetcode-cn.com/problems/reverse-nodes-in-k-group
"""
# Definition for singly-linked list.
# class ListNode:
# ... | [
"116676671@qq.com"
] | 116676671@qq.com |
61d453f7043d551d259a951e4642f47d5429b7cd | f6302d4915f1186106270ac78273534920bdc553 | /tests/test_scripts/test_gen_jsonld.py | 385e3a242135665eba7991fc0854bfad5e25d86a | [
"CC0-1.0"
] | permissive | biolink/biolinkml | 7daeab5dfbefb8c9a6ce15176725be4b0faf86c7 | 34531bd9cb8805029035c7b7726398ebee972b97 | refs/heads/master | 2021-06-10T20:10:56.718829 | 2021-04-04T20:05:59 | 2021-04-04T20:05:59 | 167,634,946 | 25 | 19 | CC0-1.0 | 2021-10-02T01:45:34 | 2019-01-26T01:07:26 | Python | UTF-8 | Python | false | false | 4,595 | py | import os
import re
import unittest
# This has to occur post ClickTestCase
from functools import reduce
from typing import List, Tuple
import click
from rdflib import Graph, URIRef
from biolinkml import METAMODEL_NAMESPACE
from biolinkml.generators.jsonldcontextgen import ContextGenerator
from biolinkml.generators im... | [
"solbrig@jhu.edu"
] | solbrig@jhu.edu |
a23323ac53143abd4e91ae0d35c314a55e9716cb | f0d713996eb095bcdc701f3fab0a8110b8541cbb | /r6ywkSJHWqA7EK5fG_14.py | e1800ffbfe2d70f4996996c5a58be1d4e86742ab | [] | 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 | 773 | py | """
Write a method that accepts two integer parameters rows and cols. The output
is a 2d array of numbers displayed in column-major order, meaning the numbers
shown increase sequentially down each column and wrap to the top of the next
column to the right once the bottom of the current column is reached.
### Exampl... | [
"daniel.reich@danielreichs-MacBook-Pro.local"
] | daniel.reich@danielreichs-MacBook-Pro.local |
e8c56a08cc5141e47f33f2dd24e7959853718791 | d82ac08e029a340da546e6cfaf795519aca37177 | /chapter_06_model_evaluation_hyperparameter_tuning/09_precision_recall.py | 8ed40b8d08c5c3316ccb51e1e9aa19e22539551a | [] | no_license | CSwithJC/PythonMachineLearning | 4409303c3f4d4177dc509c83e240d7a589b144a0 | 0c4508861e182a8eeacd4645fb93b51b698ece0f | refs/heads/master | 2021-09-04T04:28:14.608662 | 2018-01-15T20:25:36 | 2018-01-15T20:25:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,384 | py | import pandas as pd
import matplotlib.pyplot as plt
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import train_test_split, GridSearchCV, cross_val_score
from sklearn.svm import SVC
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline
from sklearn.metrics ... | [
"jean.mendez2@upr.edu"
] | jean.mendez2@upr.edu |
1e4aad395a0c4f1844831bcd3739df218ecd5ae7 | 700f9f9e319ebd26d2557d64ea3827808dfad2f5 | /tests/fixtures/test_abstracts/content_03_expected.py | 58672ac219aa158da24cd5ab42129bffccff6013 | [
"MIT"
] | permissive | elifesciences/elife-tools | 1b44e660e916a82ef8ff64dd5a6ee5506e517359 | bc16e7dd5d6245077e39f8561b99c9acd510ddf7 | refs/heads/develop | 2023-03-06T08:37:47.424282 | 2023-02-20T20:40:49 | 2023-02-20T20:40:49 | 30,274,058 | 13 | 11 | MIT | 2023-02-20T20:40:50 | 2015-02-04T01:14:41 | Python | UTF-8 | Python | false | false | 2,429 | py | expected = [
{
"abstract_type": None,
"content": "RET can be activated in cis or trans by its co-receptors and ligands in vitro, but the physiological roles of trans signaling are unclear. Rapidly adapting (RA) mechanoreceptors in dorsal root ganglia (DRGs) express Ret and the co-receptor Gfr\u03b12... | [
"gnott@starglobal.ca"
] | gnott@starglobal.ca |
0f376f00c936710d9751db5444a986c0a3a66788 | 17dcc3e6a5e418a7c4c2e79f6e34ae7df39fdbcd | /polyaxon_lib/datasets/imdb.py | b9f921cf262d4dc58eef86b59c760646f5f749fc | [
"MIT"
] | permissive | polyaxon/polyaxon-lib | 55358fa8f56a1cd12a443672f4d6cb990c51ae8f | d357b7fee03b2f47cfad8bd7e028d3e265a10575 | refs/heads/master | 2021-09-11T19:43:59.391273 | 2018-04-11T15:35:03 | 2018-04-11T15:35:03 | 94,631,683 | 7 | 4 | MIT | 2018-01-25T14:08:54 | 2017-06-17T15:18:04 | Python | UTF-8 | Python | false | false | 4,981 | py | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
import json
import os
import six.moves.cPickle as pickle # pylint: disable=import-error
import numpy as np
import tensorflow as tf
from polyaxon_lib import Modes
from polyaxon_lib.datasets.converters.sequence_converters import... | [
"mouradmourafiq@gmail.com"
] | mouradmourafiq@gmail.com |
d345272523d8337ac757fdf062c2baac998b6531 | 15f321878face2af9317363c5f6de1e5ddd9b749 | /solutions_python/Problem_200/2946.py | 87758d9e393a1e5e783c705de41a6ed22abb34c8 | [] | no_license | dr-dos-ok/Code_Jam_Webscraper | c06fd59870842664cd79c41eb460a09553e1c80a | 26a35bf114a3aa30fc4c677ef069d95f41665cc0 | refs/heads/master | 2020-04-06T08:17:40.938460 | 2018-10-14T10:12:47 | 2018-10-14T10:12:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 584 | py | numbers = []
t = int(raw_input())
for i in xrange(1, t + 1):
numbers = [int(s) for s in list(raw_input())]
numbers = [0] + numbers
while True :
change = False
for j in xrange(1, len(numbers)):
if (numbers[j] < numbers[j-1]):
numbers[j-1] = numbers[j-1] -1
change = ... | [
"miliar1732@gmail.com"
] | miliar1732@gmail.com |
bdd20ca186269d2759e9ecf5ae8ac0a444d8f194 | cd9c2c6df0567bd7be18909f4150a26a45c8a4f7 | /utils/rpi3/setup-system.py | cce2a6faf5e0796d16d7210a85c82987f73b6111 | [
"Apache-2.0"
] | permissive | zeta1999/mjmech | d98fd506e6d7e799953a328ebe5db06e379591cb | 9e44f82849afc35180d4bda22282dba1cde42be0 | refs/heads/master | 2022-04-19T19:24:44.638122 | 2020-04-16T16:41:54 | 2020-04-16T16:41:54 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,530 | py | #!/usr/bin/python3 -B
# Copyright 2018 Josh Pieper. 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 requir... | [
"jjp@pobox.com"
] | jjp@pobox.com |
66e70df8459191ede0a0d58d871bb1cceccfeaa2 | e29734c2b3543a05a28b6bc460c3248ea37aaf5c | /apps/course/migrations/0012_auto_20190417_1723.py | 3f626f2c421f9e72f9bb96824deeb14fd09983c7 | [] | no_license | simida0755/PopularBlogs | fda6dbe06751dde013ba57f73c708fd7106a49ee | 3a86989232206d0727223306c0e2d2c62d35fa9b | refs/heads/master | 2020-05-21T15:54:09.853341 | 2019-05-13T02:15:28 | 2019-05-13T02:15:28 | 186,101,555 | 5 | 1 | null | null | null | null | UTF-8 | Python | false | false | 371 | py | # Generated by Django 2.0.2 on 2019-04-17 17:23
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('course', '0011_auto_20190416_1459'),
]
operations = [
migrations.RenameField(
model_name='blogposts',
old_name='Like_nums',
... | [
"simida027@163.com"
] | simida027@163.com |
3ca0590beaf838aade8aff60fc8e2f99982bed2a | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/380/usersdata/277/91472/submittedfiles/principal.py | 84c993c745f110d61a63b8b18dfd48624e8021e1 | [] | 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 | 69 | py | # -*- coding: utf-8 -*-
x = input('Digite algo: ')
mostrar_na_tela(x) | [
"rafael.mota@ufca.edu.br"
] | rafael.mota@ufca.edu.br |
7aefc106ad42e43fe1b6ff523e1dac4fc64c01d2 | 9743d5fd24822f79c156ad112229e25adb9ed6f6 | /xai/brain/wordbase/verbs/_fume.py | ce796bac3558af33ff267419b8d051aff846cfaa | [
"MIT"
] | permissive | cash2one/xai | de7adad1758f50dd6786bf0111e71a903f039b64 | e76f12c9f4dcf3ac1c7c08b0cc8844c0b0a104b6 | refs/heads/master | 2021-01-19T12:33:54.964379 | 2017-01-28T02:00:50 | 2017-01-28T02:00:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 326 | py |
#calss header
class _FUME():
def __init__(self,):
self.name = "FUME"
self.definitions = [u'to be very angry, sometimes without expressing it: ']
self.parents = []
self.childen = []
self.properties = []
self.jsondata = {}
self.specie = 'verbs'
def run(self, obj1 = [], obj2 = []):
return self.jso... | [
"xingwang1991@gmail.com"
] | xingwang1991@gmail.com |
df5c7b8d6d7517e53f42e5a9d2b47dc530a7a8e4 | aedf65a662083d82fd2ef021a883dd842961d445 | /webapp/linkstop/apps/accounts/admin.py | bb93b6b45bbaaaf78846834daee1847aa3489c47 | [] | no_license | hercules261188/Locidesktop | b95f9f4dd709d33f21b7b9f43d52e3b76c99912b | cab3a3bda807780244e4e5ce9c3745b6d04ddbc9 | refs/heads/master | 2021-12-02T15:12:47.876242 | 2011-01-10T09:21:27 | 2011-01-10T09:21:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 293 | py | from django.contrib import admin
from models import *
class ProfileAdmin(admin.ModelAdmin):
list_display = ('user',)
admin.site.register(Profile, ProfileAdmin)
class InviteAdmin(admin.ModelAdmin):
list_display = ('code', 'uses_remaining')
admin.site.register(Invite, InviteAdmin)
| [
"willmcgugan@gmail.com"
] | willmcgugan@gmail.com |
9b6387e95c7865363144a250492269e8afc55560 | af4d559792c4255d5f26bc078cd176b70c0e643f | /hpsklearn/components/compose/_target.py | 47122eee5792a436fd2494fc78ae7673a5121e0f | [
"BSD-3-Clause"
] | permissive | hyperopt/hyperopt-sklearn | ec7d5f97ba8fd5a2c283dfec2fa9e0170b61c6ce | 4b3f6fde3a1ded2e71e8373d52c1b51a0239ef91 | refs/heads/master | 2023-08-02T07:19:20.259964 | 2022-12-15T17:53:07 | 2022-12-15T17:53:07 | 8,293,893 | 1,480 | 292 | NOASSERTION | 2022-12-15T17:53:08 | 2013-02-19T16:09:53 | Python | UTF-8 | Python | false | false | 1,423 | py | from hyperopt.pyll import scope
from sklearn import compose
@scope.define
def sklearn_TransformedTargetRegressor(*args, **kwargs):
return compose.TransformedTargetRegressor(*args, **kwargs)
def transformed_target_regressor(name: str,
regressor: object = None,
... | [
"38689620+mandjevant@users.noreply.github.com"
] | 38689620+mandjevant@users.noreply.github.com |
28b398292b9bf6064d42889b0c2063af30c40fc2 | 58c3dd075b87ec882ccbce27d81928ea5dd46223 | /presentation/views/user/stories_views.py | ee43e98b33a2556704a7c743fbe22155926874aa | [] | no_license | panuta/storypresso | 706328652f583f7d3574eccca2bc885c49a9d0b9 | ef0fecacbd67b09c8ab64d842709344fa6e2773d | refs/heads/master | 2021-01-02T06:32:05.443474 | 2013-04-11T12:47:55 | 2013-04-11T12:47:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,890 | py | # -*- encoding: utf-8 -*-
import urllib2
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.http import Http404
from django.shortcuts import render, get_object_or_404, redirect
from django.views.decorators.csrf import csrf_exempt
from django.views.decorators.http ... | [
"panuta@gmail.com"
] | panuta@gmail.com |
344de7f08b6061681f6b255140a70d46b64199c1 | 2416a6bde05651717f99dd45c5116cd13a7a38f7 | /docs/source/clear_docs.py | 3514db0143d1ddae01c133c04f99d3a02fbd37f2 | [
"BSD-3-Clause"
] | permissive | modulexcite/nbgrader | b1080a61d0ba5252c16c3d7471e13a40ce659624 | 1748c40f47b69c81e19068d4ba3c3205af72317d | refs/heads/master | 2021-01-20T21:40:48.115091 | 2015-08-13T01:57:08 | 2015-08-13T01:57:08 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,105 | py | import os
import sys
import subprocess as sp
from copy import deepcopy
try:
from IPython.nbformat import read, write
from IPython.nbconvert.preprocessors import ClearOutputPreprocessor
except ImportError:
print("Warning: IPython could not be imported, some tasks may not work")
def run(cmd):
print(" "... | [
"jhamrick@berkeley.edu"
] | jhamrick@berkeley.edu |
1ec1ad8fe95f163e80301f541560976b55f7b599 | 9743d5fd24822f79c156ad112229e25adb9ed6f6 | /xai/brain/wordbase/otherforms/_viewed.py | f9f11fcee4bddc5beedae71b386206b85ee7bebc | [
"MIT"
] | permissive | cash2one/xai | de7adad1758f50dd6786bf0111e71a903f039b64 | e76f12c9f4dcf3ac1c7c08b0cc8844c0b0a104b6 | refs/heads/master | 2021-01-19T12:33:54.964379 | 2017-01-28T02:00:50 | 2017-01-28T02:00:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 216 | py |
#calss header
class _VIEWED():
def __init__(self,):
self.name = "VIEWED"
self.definitions = view
self.parents = []
self.childen = []
self.properties = []
self.jsondata = {}
self.basic = ['view']
| [
"xingwang1991@gmail.com"
] | xingwang1991@gmail.com |
f6fdf258262e61f9b025e4447b78e2845eb335c1 | 0d86bb399a13152cd05e3ba5684e4cb22daeb247 | /python-basics/unit12-modules/py119_from_import.py | d62586d3be78b54a6b3a96b8e4acc2e3c31b4925 | [] | no_license | tazbingor/learning-python2.7 | abf73f59165e09fb19b5dc270b77324ea00b047e | f08c3bce60799df4f573169fcdb1a908dcb8810f | refs/heads/master | 2021-09-06T05:03:59.206563 | 2018-02-02T15:22:45 | 2018-02-02T15:22:45 | 108,609,480 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 390 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 18/1/4 下午10:06
# @Author : Aries
# @Site :
# @File : py119_from_import.py
# @Software: PyCharm
'''
from .. import 语句
多行导入
'''
from Tkinter import Tk, Frame, Button, Entry, \
Canvas, Text, LEFT
'''
PEP 8风格
加入括号更易读
'''
from Tkinter import (Tk, Frame,... | [
"852353298@qq.com"
] | 852353298@qq.com |
f591f2f5000f55dde12dac4747b15d2cd0031f76 | 0809ea2739d901b095d896e01baa9672f3138825 | /ORMproject1_ver_2/ORMproject1_ver_2/settings.py | db3c8140ebb48988e3492dcf972169f97a75ed03 | [] | no_license | Gagangithub1988/djangoprojects | dd001f2184e78be2fb269dbfdc8e3be1dd71ce43 | ea236f0e4172fbf0f71a99aed05ed7c7b38018e2 | refs/heads/master | 2022-11-15T23:46:46.134247 | 2020-07-15T06:37:51 | 2020-07-15T06:37:51 | 273,479,403 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,275 | py | """
Django settings for ORMproject1_ver_2 project.
Generated by 'django-admin startproject' using Django 3.0.5.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.0/ref/settings/
"""
im... | [
"djangopython1988@gmail.com"
] | djangopython1988@gmail.com |
35659b938f37e4feeafc513cf7fc00b3e2457ce9 | 10d98fecb882d4c84595364f715f4e8b8309a66f | /tunas/schema_io_test.py | ab7f6ca4f294916dca7c1d63ac50e89c1bc14eeb | [
"CC-BY-4.0",
"Apache-2.0"
] | permissive | afcarl/google-research | 51c7b70d176c0d70a5ee31ea1d87590f3d6c6f42 | 320a49f768cea27200044c0d12f394aa6c795feb | refs/heads/master | 2021-12-02T18:36:03.760434 | 2021-09-30T20:59:01 | 2021-09-30T21:07:02 | 156,725,548 | 1 | 0 | Apache-2.0 | 2018-11-08T15:13:53 | 2018-11-08T15:13:52 | null | UTF-8 | Python | false | false | 7,843 | py | # coding=utf-8
# Copyright 2021 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | [
"copybara-worker@google.com"
] | copybara-worker@google.com |
3cbe84dc02307edb834d241e25626fe9c1b861d0 | e9a5033ac69ef690602eb1206217dac6d09c1e63 | /netharn/util/util_io.py | 74d56ad483aade482c02c454104a746a9cfed118 | [
"Apache-2.0"
] | permissive | Erotemic/netharn | ba030df2c9d79fe0b392f8823bc2819383d8756f | bc4a6d75445c949e709e5ab903ba72813ec68b79 | refs/heads/master | 2021-05-26T05:05:24.931026 | 2020-08-27T00:13:34 | 2020-08-27T00:13:34 | 127,506,937 | 43 | 8 | Apache-2.0 | 2020-02-19T17:51:56 | 2018-03-31T06:49:03 | Python | UTF-8 | Python | false | false | 1,392 | py | # -*- coding: utf-8 -*-
"""
DEPRECATED
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
def read_h5arr(fpath):
import h5py
with h5py.File(fpath, 'r') as hf:
return hf['arr_0'][...]
def write_h5arr(fpath, arr):
import h5py
with h5py.Fil... | [
"jon.crall@kitware.com"
] | jon.crall@kitware.com |
9e21f133bfc9f87dea5673c020cb62a394593f31 | ef243d91a1826b490e935fa3f3e6c29c3cc547d0 | /PyQt5/QtNetwork/QSslKey.py | c5246b49969c93f51c37ee8902d23b3a1e0668d5 | [] | no_license | VentiFang/Python_local_module | 6b3d0b22399e817057dfd15d647a14bb1e41980e | c44f55379eca2818b29732c2815480ee755ae3fb | refs/heads/master | 2020-11-29T11:24:54.932967 | 2019-12-25T12:57:14 | 2019-12-25T12:57:14 | 230,101,875 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,212 | py | # encoding: utf-8
# module PyQt5.QtNetwork
# from F:\Python\Python36\lib\site-packages\PyQt5\QtNetwork.pyd
# by generator 1.147
# no doc
# imports
import enum as __enum
import PyQt5.QtCore as __PyQt5_QtCore
import sip as __sip
class QSslKey(__sip.simplewrapper):
"""
QSslKey()
QSslKey(Union[QByteArray, by... | [
"5149528+ventifang@user.noreply.gitee.com"
] | 5149528+ventifang@user.noreply.gitee.com |
e5b0008119735c1b9e21aa25ea5e1a98dd42cef7 | 2a4a17a67b9069c19396c0f8eabc8b7c4b6ff703 | /BGP3D/Chapter05/AdditionalCode/MarkerClass.py | 168ea6c1929f070d29038c045e9feff5ed2cc174 | [] | no_license | kaz101/panda-book | 0fa273cc2df5849507ecc949b4dde626241ffa5e | 859a759c769d9c2db0d11140b0d04506611c2b7b | refs/heads/master | 2022-12-19T09:36:05.794731 | 2020-09-16T19:04:10 | 2020-09-16T19:04:10 | 295,784,057 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,292 | py | '''
This class is used to define the markers placed along the track. These markers are
referenced by multiple parts of the game in order to understand the shape and position
of parts of the track.
'''
from pandac.PandaModules import Vec3
class Marker:
def __init__(self, pos):
self.lane = 0
# Creates a... | [
"kaz101130@gmail.com"
] | kaz101130@gmail.com |
a42151ab93472a9bd2dbfd2ba188557e5d608af4 | fea44d5ca4e6c9b2c7950234718a4531d453849e | /sktime/regression/deep_learning/tapnet.py | 0dc3c34a9c8f697072fb87309012e68fefb0f28b | [
"BSD-3-Clause"
] | permissive | mlgig/sktime | 288069ab8c9b0743113877032dfca8cf1c2db3fb | 19618df351a27b77e3979efc191e53987dbd99ae | refs/heads/master | 2023-03-07T20:22:48.553615 | 2023-02-19T18:09:12 | 2023-02-19T18:09:12 | 234,604,691 | 1 | 0 | BSD-3-Clause | 2020-01-17T17:50:12 | 2020-01-17T17:50:11 | null | UTF-8 | Python | false | false | 9,331 | py | # -*- coding: utf-8 -*-
"""Time Convolutional Neural Network (CNN) for classification."""
__author__ = [
"Jack Russon",
]
__all__ = [
"TapNetRegressor",
]
from copy import deepcopy
from sklearn.utils import check_random_state
from sktime.networks.tapnet import TapNetNetwork
from sktime.regression.deep_learn... | [
"noreply@github.com"
] | mlgig.noreply@github.com |
3c5bd952d9054dcd4e8a2ac805219cc5d33ea51d | 009f8f1f77ef4bdfd67999058d33bccd8e743654 | /leetcode/1470_shuffle_the_array.py | 378d8363f5c46ac30fe2cf886b70ecbc5fe218d2 | [
"MIT"
] | permissive | coocos/leetcode | 4bd5faa46e916af666db025c8182f1c30cd49ee3 | 007bbeb46fa4b32e1c92fc894edeb2100eb6ba21 | refs/heads/master | 2021-06-13T13:11:10.699941 | 2021-05-01T05:55:12 | 2021-05-01T07:17:52 | 192,551,170 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 670 | py | import unittest
from typing import List
class Solution:
"""
This solution simply slices the list into two, zips the slices together
and then keeps appending numbers from the zipped iterable to a new list, finally
returning the new list.
"""
def shuffle(self, nums: List[int], n: int) -> List[i... | [
"1397804+coocos@users.noreply.github.com"
] | 1397804+coocos@users.noreply.github.com |
ade92b08072be4fbfd43b37ed4a6fcf0b292740d | 68f836bf5d9f849722c322e9207d842c766cac6f | /backend/project_notes.py | 90146bb70cf48ade623b4dd2778474b8661a07d0 | [
"MIT"
] | permissive | valmsmith39a/u-p2-trivia-api | 061f9fd216bb93f58a83b20413dcaacbf0f36239 | 0c4a66a97af13b76a55bac6e210566f1258ea9ba | refs/heads/main | 2023-07-16T02:40:42.623996 | 2021-08-28T22:41:46 | 2021-08-28T22:41:46 | 380,091,249 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,495 | py | """
@TODO: DONE: Set up CORS. Allow '*' for origins. Delete the sample route after completing the TODOs
"""
"""
@TODO: DONE: Use the after_request decorator to set Access-Control-Allow
"""
"""
@TODO: DONE
Create an endpoint to handle GET requests
for all available categories.
"""
"""
@TODO: DONE
Create an... | [
"valmsmith39a@gmail.com"
] | valmsmith39a@gmail.com |
555460ca29e841d4a013d93d658324dae5e47e2a | 4d2238210813c1581bf44f64d8a63196f75d2df4 | /getspecialpath.py | 3c73e511700aad0decdddd01f448faddafea15e9 | [] | no_license | wwtang/code02 | b1600d34907404c81fa523cfdaa74db0021b8bb3 | 9f03dda7b339d8c310c8a735fc4f6d795b153801 | refs/heads/master | 2020-12-24T14:10:33.738734 | 2012-12-14T04:24:47 | 2012-12-14T04:24:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 356 | py | # LAB(begin solution)
def get_special_paths(dirname):
"""Given a dirname, returns a list of all its special files."""
result = []
paths = os.listdir(dirname) # list of paths in that dir
for fname in paths:
match = re.search(r'__(\w+)__', fname)
if match:
result.append(os.path.abspath(os.path.join... | [
"andytang1994@gmail.com"
] | andytang1994@gmail.com |
9a2eecac8235d57fb18fba8bf51a48013a539f4d | f68732bc40a7a90c3a1082e4b3a4154518acafbb | /script/dbus/sessionBus/daemonLauncher/010_requestRemoveFromDesktop_01.py | 970c505fbf5f8c7eb2441038c3f4030b30cfba08 | [] | no_license | lizhouquan1017/dbus_demo | 94238a2307e44dabde9f4a4dd0cf8ec217260867 | af8442845e722b258a095e9a1afec9dddfb175bf | refs/heads/master | 2023-02-11T19:46:27.884936 | 2021-01-08T05:27:18 | 2021-01-08T05:27:18 | 327,162,635 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,232 | py | # -*- coding: utf-8 -*-
# ***************************************************
# @Test Case ID: 010_requestRemoveFromDesktop_01
# @Test Description: 请求将指定id的程序桌面图标删除
# @Test Condition: 桌面图标不存在桌面
# @Test Step: 1.清除应用程序桌面图标
# 2.调用RequestRemoveFromDesktop接口,请求将指定id的... | [
"lizhouquan@uniontech.com"
] | lizhouquan@uniontech.com |
e176c56fefcc0010af610eee90e483989a3c41ca | da1721d2783ea4d67ff4e73cee6eee71292f2ef7 | /toontown/cogdominium/CogdoLevelMgr.py | 92a534dd21bec6683b43174708b853632a575be3 | [
"BSD-3-Clause"
] | permissive | open-toontown/open-toontown | bbdeb1b7bf0fb2861eba2df5483738c0112090ca | 464c2d45f60551c31397bd03561582804e760b4a | refs/heads/develop | 2023-07-07T01:34:31.959657 | 2023-05-30T23:49:10 | 2023-05-30T23:49:10 | 219,221,570 | 143 | 104 | BSD-3-Clause | 2023-09-11T09:52:34 | 2019-11-02T22:24:38 | Python | UTF-8 | Python | false | false | 174 | py | from otp.level import LevelMgr
from direct.showbase.PythonUtil import Functor
from toontown.toonbase import ToontownGlobals
class CogdoLevelMgr(LevelMgr.LevelMgr):
pass
| [
"jwcotejr@gmail.com"
] | jwcotejr@gmail.com |
5058c60cc266058372e61cb9d6b143206790c3ee | 21590487701d2dcbe1a1c1dd81c6e983f7523cb6 | /exporter/opentelemetry-exporter-zipkin/tests/test_zipkin.py | fa9c3ecf48fc24cc0b29f54f38c2572ee403a074 | [
"Apache-2.0"
] | permissive | open-telemetry/opentelemetry-python | 837199e541c03cff311cad075401791ee2a23583 | d8490c5f557dd7005badeb800095cb51b553c98c | refs/heads/main | 2023-08-26T06:47:23.837997 | 2023-08-17T22:35:13 | 2023-08-17T22:35:13 | 185,478,926 | 1,361 | 668 | Apache-2.0 | 2023-09-14T20:48:40 | 2019-05-07T21:13:30 | Python | UTF-8 | Python | false | false | 963 | py | # Copyright The OpenTelemetry Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | [
"noreply@github.com"
] | open-telemetry.noreply@github.com |
015bb44013fbc1fccd818082deadaa0ba3e0b855 | a2c66a7bb326c51df39e058262101737ea1faea1 | /tensorflow/python/data/kernel_tests/shuffle_test.py | 05d5d814c01d2640b8d34f937393df6256cde665 | [
"Apache-2.0"
] | permissive | CarlosGarciaMX/tensorflow | 406518d0fc34c047b97405aae9c1f818e8cfb3b7 | a4f06947c61ef6f69057f1207c2532a3551ff4f0 | refs/heads/master | 2021-10-02T22:44:22.191831 | 2018-12-01T19:54:43 | 2018-12-01T19:59:34 | 160,002,214 | 0 | 0 | Apache-2.0 | 2018-12-02T01:13:10 | 2018-12-02T01:13:10 | null | UTF-8 | Python | false | false | 9,641 | py | # Copyright 2017 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 |
eb86b016fc192ce35a1af4257388a6a1699682b9 | d58f26ef4bfacc50d32306f27ea9628214aa53aa | /panoptes_aggregation/tests/extractor_tests/test_survey_extractor.py | 0f35fc2c2c8c2e1ac6fe86d1d4946c98f49bcb26 | [] | no_license | miclaraia/python-reducers-for-caesar | 893073ce1551d953d82a59bd87dea3deffe5e6ae | f1e28992ae73e131fb400d4b400fdf8d4d597828 | refs/heads/master | 2021-01-01T18:51:04.763162 | 2017-07-25T14:04:06 | 2017-07-25T14:04:06 | 98,448,810 | 0 | 0 | null | 2017-07-26T18:01:03 | 2017-07-26T17:30:17 | Python | UTF-8 | Python | false | false | 1,955 | py | import unittest
import json
import flask
from panoptes_aggregation import extractors
class TestSurveyExtractor(unittest.TestCase):
def setUp(self):
self.classification = {
'annotations': [{
'task': 'T0',
'value': [
{
'... | [
"coleman.krawczyk@gmail.com"
] | coleman.krawczyk@gmail.com |
fc81aba1d48898a177ddd6d8431ac9006754f7a4 | d27af9d58b91b8cd998ac0eb87d980d304ff0670 | /Beginner-Contest/ABC106/ABC106_A.py | 7438576edb2f75a8a2bd207eb097f09e220ae881 | [] | no_license | mongesan/Atcoder-m0_ngesan-py | 29dd79daab149003ffc8b6b6bad5fa2e7daa9646 | 6654af034d4ff4cece1be04c2c8b756976d99a4b | refs/heads/master | 2023-08-20T19:50:04.547025 | 2021-10-27T12:24:51 | 2021-10-27T12:24:51 | 258,486,105 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9 | py | #ABC106_A | [
"syun1.mongesan@gmail.com"
] | syun1.mongesan@gmail.com |
50394fff8cb70405e3d6a9d2739f994d49fa25ba | 37edb81c3fb3dfc09d14bb228e5f8df610d21c50 | /source/_static/lecture_specific/mccall/mccall_resw_c.py | 1cf5709382e34082f3a31af6fd0fc53a6fe3ee7f | [
"BSD-3-Clause"
] | permissive | bktaha/lecture-python | 68cb003640323d8600b1396898f2fb383b417769 | b13db12120b977d1c661c9a68c5b8ddfc1b6dc89 | refs/heads/master | 2022-11-02T23:05:32.647316 | 2020-06-09T09:15:18 | 2020-06-09T09:15:18 | 272,172,927 | 0 | 0 | BSD-3-Clause | 2020-06-14T09:44:53 | 2020-06-14T09:44:52 | null | UTF-8 | Python | false | false | 535 | py | grid_size = 25
c_vals = np.linspace(2, 12, grid_size) # values of unemployment compensation
w_bar_vals = np.empty_like(c_vals)
mcm = McCallModel()
fig, ax = plt.subplots(figsize=(10, 6))
for i, c in enumerate(c_vals):
mcm.c = c
w_bar = compute_reservation_wage(mcm)
w_bar_vals[i] = w_bar
ax.set_xlabel... | [
"mamckay@gmail.com"
] | mamckay@gmail.com |
30eee56cb38f4efbea3d3964f8dd219c0e33b62f | 4c38cf22642d01720b41b0700b17c481da47ac1c | /实战项目/家用电器用户行为分析与事件识别/阈值寻优模型.py | 99f676399cef2aa5ccd7d503f9f034cfcf8c4d3a | [] | no_license | fwmmmrm/DataMining-2 | ff2e2d75e32e54e629accc6209c23604637c6afb | c20431d90264d84fcee9ddc1dd2d71db16b36632 | refs/heads/master | 2023-02-03T12:53:01.006916 | 2020-12-19T06:26:51 | 2020-12-19T06:26:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,182 | py | # -*- coding: utf-8 -*-
"""
在1-9分钟进行阈值寻优
"""
import numpy as np
import pandas as pd
def event_num(ts):
'''
得到事件数目
:param ts:
:return:
'''
d = data[u'发生时间'].diff() > ts
return d.sum() + 1
if __name__ == '__main__':
inputfile = 'data/water_heater.xls'
# 使用以后四个点的平均斜率
n = 4
t... | [
"1695735420@qq.com"
] | 1695735420@qq.com |
3632c60cac2a105337f609999d00fbcb845ae306 | 33836016ea99776d31f7ad8f2140c39f7b43b5fe | /fip_collab/2015_03_25_alpha_Ti_composite_7th/main008.py | 15496dbf4af81557e35e3ca2f7ead381096d4b64 | [] | no_license | earthexploration/MKS-Experimentation | 92a2aea83e041bfe741048d662d28ff593077551 | 9b9ff3b468767b235e7c4884b0ed56c127328a5f | refs/heads/master | 2023-03-17T23:11:11.313693 | 2017-04-24T19:24:35 | 2017-04-24T19:24:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,110 | py | # -*- coding: utf-8 -*-
"""
Created on Wed Sep 17 16:46:35 2014
@author: nhpnp3
"""
import time
import fegrab
import microstructure_function as msf
import validation_viz
import results
import calibration
# import matplotlib.pyplot as plt
Hi = 2 # number of distinct local states in microstructure
order = 1 # choose... | [
"noahhpaulson@gmail.com"
] | noahhpaulson@gmail.com |
edfc5ecf4e08ebc51d70cccfa64033266fcd94d5 | f00ae2cb4709539e8a78247678d9bb51913e0373 | /oacids/exported/ifaces.py | 6291040a82a66812250500bc05295488b82dd8c9 | [
"MIT"
] | permissive | openaps/oacids | 576351d34d51c62492fc0ed8be5e786273f27aee | ed8d6414171f45ac0c33636b5b00013e462e89fb | refs/heads/master | 2021-01-10T06:03:53.395357 | 2016-03-21T04:02:47 | 2016-03-21T04:02:47 | 51,559,470 | 2 | 2 | null | null | null | null | UTF-8 | Python | false | false | 390 | py |
# BUS='org.openaps.oacids'
BUS='org.openaps'
IFACE='org.openaps.Service'
ObjectManager = 'org.freedesktop.DBus.ObjectManager'
PATH_BASE='/org/openaps'
PATH='/org/openaps/Services'
ManagerPath = PATH
INTROSPECTABLE_IFACE='org.freedesktop.DBus.Introspectable'
# class WithProperties (dbus.service.Object):
TRIGGER_IF... | [
"bewest@gmail.com"
] | bewest@gmail.com |
76974675ed4f3f5348441293a1ee00f825fc5953 | 7173978a10fc738ef6ee1d7c63e608da9a715d19 | /keyboards/inline/category_industrial_buttons.py | 2b046d54afb57b03c1337c4e5267bdcfa52dec6b | [] | no_license | stillnurs/telegram_bot | 80498de7489a3d99f0288f4c96ffe0b5a6ece937 | e7c3cd84f78d24484703c95e9d596ac682ef10a5 | refs/heads/master | 2023-02-09T19:54:08.919475 | 2020-12-28T19:43:44 | 2020-12-28T19:43:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 281 | py | from aiogram.types import InlineKeyboardMarkup, InlineKeyboardButton
category_industrial_choice = InlineKeyboardMarkup(inline_keyboard=[
[
InlineKeyboardButton(text="Общие вопросы",
callback_data="about_industrial")
]
],
)
| [
"noorsultan.mamataliev@gmail.com"
] | noorsultan.mamataliev@gmail.com |
e36d2752f8590ae3619472a4a1fbd8087e52f017 | a9e3f3ad54ade49c19973707d2beb49f64490efd | /Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/commerce/api/v0/tests/test_views.py | 5a1e47cb7149aa90340075ae66457392dab67365 | [
"MIT",
"AGPL-3.0-only",
"AGPL-3.0-or-later"
] | permissive | luque/better-ways-of-thinking-about-software | 8c3dda94e119f0f96edbfe5ba60ca6ec3f5f625d | 5809eaca7079a15ee56b0b7fcfea425337046c97 | refs/heads/master | 2021-11-24T15:10:09.785252 | 2021-11-22T12:14:34 | 2021-11-22T12:14:34 | 163,850,454 | 3 | 1 | MIT | 2021-11-22T12:12:31 | 2019-01-02T14:21:30 | JavaScript | UTF-8 | Python | false | false | 12,110 | py | """ Commerce API v0 view tests. """
import itertools
import json
from datetime import datetime, timedelta
from unittest import mock
from uuid import uuid4
import ddt
import pytz
from django.conf import settings
from django.test import TestCase
from django.test.utils import override_settings
from django.urls import r... | [
"rafael.luque@osoco.es"
] | rafael.luque@osoco.es |
9d983f524780487331f1a5a8f745b286f2a278df | 1531345172f997e42b861ddd2063d7e357a3b4f2 | /python/tf_idf_demo.py | 58cd7d7e88c95d87ddc076d432d50f3384af59dd | [] | no_license | claralinanda/MIS3545-Spring2017 | 5c83e671b19cc75857fcbfb941adb88272953c60 | 8b097453558f9a5c2c5c11ada7d98423dfa24254 | refs/heads/master | 2021-01-19T11:54:06.392757 | 2017-04-03T14:05:23 | 2017-04-03T14:05:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,724 | py | from math import log
def tf(term, doc, normalize=True):
doc = doc.lower().split()
if normalize:
return doc.count(term.lower()) / float(len(doc))
else:
return doc.count(term.lower()) / 1.0
def idf(term, corpus):
num_texts_with_term = len([True for text in corpus if term.lower()
... | [
"zli@babson.edu"
] | zli@babson.edu |
f48b108217790987b181bc014327e857ca7cc522 | 3c6b0521eb788dc5e54e46370373e37eab4a164b | /FlowScore/eval_single.py | cda6c141996523b2197a00407f922861a8825b8d | [] | no_license | y12uc231/DialEvalMetrics | 7402f883390b94854f5d5ae142f700a697d7a21c | f27d717cfb02b08ffd774e60faa6b319a766ae77 | refs/heads/main | 2023-09-02T21:56:07.232363 | 2021-11-08T21:25:24 | 2021-11-08T21:25:24 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 849 | py | from flow_score import *
import numpy as n
import argparse
import json
def parse_args():
parser = argparse.ArgumentParser(description='')
parser.add_argument('--eval_data', type=str, default=None)
parser.add_argument('--output', type=str)
args = parser.parse_args()
return args
def main(args):... | [
"yitingye@cs.cmu.edu"
] | yitingye@cs.cmu.edu |
f2f4abba432d2c0b97599ad83d7485f8c0eb3203 | 9088d49a7716bdfc9b5770e8e54ebf7be6958fcf | /09 - Repetition structure while/Des_059.py | a745d5bba64cfbc51c17879a26b37f1a9b2d9a9e | [
"MIT"
] | permissive | o-Ian/Practice-Python | 579e8ff5a63a2e7efa7388bf2d866bb1b11bdfe2 | 1e4b2d0788e70006096a53a7cf038db3148ba4b7 | refs/heads/main | 2023-05-02T02:21:48.459725 | 2021-05-18T18:46:06 | 2021-05-18T18:46:06 | 360,925,568 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 903 | py | from time import sleep
n = 0
while n != 5:
n1 = int(input('Digite um número inteiro: '))
n2 = int(input('Digite outro número inteiro: '))
print('=-' * 25)
print('Digite [1] para somar \nDigite [2] para multiplicar\nDigite [3] para saber qual número é o maior\n'
'Digite [4] para digitar novos n... | [
"ianstigli@hotmail.com"
] | ianstigli@hotmail.com |
05f23b2d032c3d8618084d240d489fbcc40895b0 | b69b6a68a7bd7cfa274cbbe27c185be32eba7b54 | /rpc_start/go_json_rpc_client.py | e17222899d551985f37d07640b271ca208d3f91f | [] | no_license | ZhiyuSun/code-kingdom | 3f4d2c023ffdc2a18523c3144bb7271b9835f3ba | 318c292dec5a43de1131a171678a6874613bc087 | refs/heads/master | 2021-06-23T20:29:03.682412 | 2021-06-14T08:52:41 | 2021-06-14T08:52:41 | 201,889,194 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 540 | py | import json
import socket
# request = {
# "id":0,
# "params":["sunzhiyu"],
# "method": "HelloService.Hello"
# }
#
# client = socket.create_connection(("localhost", 2222))
# client.sendall(json.dumps(request).encode())
#
# #获取服务器返回的数据
# rsp = client.recv(1024)
# rsp = json.loads(rsp.decode())
#
# print(rsp[... | [
"zcgyxlgy@sina.com"
] | zcgyxlgy@sina.com |
95dc9559d334108df8bfa5d29c11957bbcfcf14a | 7b13e6acb2a1f26936462ed795ee4508b4088042 | /算法题目/算法题目/剑指offer/题15二进制中1的个数.py | 8b9f4af0a2c3eeefc3b9e876e3e82af26d04cedf | [] | no_license | guojia60180/algorithm | ed2b0fd63108f30cd596390e64ae659666d1c2c6 | ea81ff2722c7c350be5e1f0cd6d4290d366f2988 | refs/heads/master | 2020-04-19T08:25:55.110548 | 2019-05-13T13:29:39 | 2019-05-13T13:29:39 | 168,076,375 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 772 | py | #Author guo
# -*- coding:utf-8 -*-
class Solution:
def NumberOf1(self, n):
# write code here
count = 0
if n<0:
n=n&0xffffffff
while n:
count += 1
n = (n - 1) & n
return count
def Numberof2(self,n):
if n<0:
s=bin(n&0... | [
"44565715+guojia60180@users.noreply.github.com"
] | 44565715+guojia60180@users.noreply.github.com |
b010ac476488c1ddac5a903d34b68d757fd309a7 | 8cb8bfd2dae516612251039e0632173ea1ea4c8a | /modules/contact/triggers.py | baf79680e6675358cf535d3c8d1db77215c8a039 | [] | no_license | nyzsirt/lift-prod | 563cc70700d26a5812a1bce0bd9795998dce6e99 | 9a5f28e49ad5e80e422a5d5efee77a2d0247aa2b | refs/heads/master | 2020-04-22T01:05:42.262876 | 2019-02-09T13:31:15 | 2019-02-09T13:31:15 | 170,003,361 | 1 | 0 | null | 2019-02-10T17:11:50 | 2019-02-10T17:11:50 | null | UTF-8 | Python | false | false | 361 | py |
class ContactTrigger:
@classmethod
def pre_save(cls, sender, document, **kwargs):
names = []
if document.name or document.surname:
if document.name:
names.append(document.name)
if document.surname:
names.append(document.surname)
... | [
"mutlu.erdem@soft-nec.com"
] | mutlu.erdem@soft-nec.com |
197c221bc0351ffccca4ea96c739f1c19bb8c129 | 926b3c52070f6e309567c8598248fd5c57095be9 | /src/audio/torchaudio/backend/soundfile_backend.py | 8fe76c998eadda1805f27db3191b82ca1071ee76 | [
"BSD-2-Clause"
] | permissive | fengbingchun/PyTorch_Test | 410f7cd2303707b0141d433fb9d144a961e1f4c8 | df5c2169f0b699bcd6e74adb4cb0e57f7dcd9348 | refs/heads/master | 2023-05-23T16:42:29.711338 | 2023-03-25T11:31:43 | 2023-03-25T11:31:43 | 167,339,907 | 15 | 4 | null | 2023-03-25T11:31:45 | 2019-01-24T09:24:59 | C++ | UTF-8 | Python | false | false | 16,484 | py | """The new soundfile backend which will become default in 0.8.0 onward"""
import warnings
from typing import Tuple, Optional
import torch
from torchaudio._internal import module_utils as _mod_utils
from .common import AudioMetaData
if _mod_utils.is_soundfile_available():
import soundfile
# Mapping from soundfi... | [
"fengbingchun@163.com"
] | fengbingchun@163.com |
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