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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
49f0d8598d3691d682ad5d073f674ee884af6210 | 7d80898ba7fb3f1336e5344e251a62df46a5f3bb | /easy_thumbnails/tests/mockoptim.py | 7e164e30c5eff1d58ab00daf219d88a118af94c8 | [] | permissive | flyingelephantlab/easy-thumbnails | dffa9b87138799a7796d3ff1e5e34670eaf32ed2 | 5f59b9f66797f6c54c241e5910748562f59d0336 | refs/heads/master | 2021-05-20T17:01:59.951758 | 2014-07-09T13:00:57 | 2014-07-09T13:00:57 | 17,428,489 | 0 | 0 | BSD-3-Clause | 2020-09-21T10:04:40 | 2014-03-05T04:59:57 | Python | UTF-8 | Python | false | false | 475 | py | #!/usr/bin/env python
import sys
# This file does nothing except to open the file as specified on the command line, reading it
# into a buffer and writing the same content back to the file.
# This script is used to simulate the optimization of an image file without actually doing it.
if len(sys.argv) < 2:
raise E... | [
"jacob.rief@gmail.com"
] | jacob.rief@gmail.com |
d79f5662a154f40d78134256625e3c848768ae52 | 32da5ff379796b0a97ee7885a5186277b434dd66 | /app/repositories/product.py | 4588675eacae10aa336defc107ef141f99079d0f | [
"MIT"
] | permissive | VadymHutei/ukubuka-back | 0f11fa061b271530ca357e7cf6b84fa374af97b5 | acd56c545b50fb65ed764c19bdd03a42be969ce4 | refs/heads/master | 2021-06-24T19:00:57.212722 | 2020-03-04T07:20:08 | 2020-03-04T07:20:08 | 219,042,002 | 0 | 0 | MIT | 2021-03-20T02:07:44 | 2019-11-01T18:34:38 | Python | UTF-8 | Python | false | false | 1,184 | py | from core import Repository
from core.sql_query_builder import SelectQuery
class ProductRepo(Repository):
def getProducts(self, params):
query = SelectQuery()
query.fields(
'p.id',
'p.category_id',
'p.model',
'p.added',
'p.is_active',
... | [
"hutei@live.com"
] | hutei@live.com |
7f17a2d70426f2080efb8edbe9d33f06a4593db6 | ce76b3ef70b885d7c354b6ddb8447d111548e0f1 | /take_point_from_few_problem/eye/bad_child.py | 33037f5511eb235421a6bebd11f83729b53ba0da | [] | no_license | JingkaiTang/github-play | 9bdca4115eee94a7b5e4ae9d3d6052514729ff21 | 51b550425a91a97480714fe9bc63cb5112f6f729 | refs/heads/master | 2021-01-20T20:18:21.249162 | 2016-08-19T07:20:12 | 2016-08-19T07:20:12 | 60,834,519 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 243 | py |
#! /usr/bin/env python
def find_good_man_on_important_life(str_arg):
important_work(str_arg)
print('year')
def important_work(str_arg):
print(str_arg)
if __name__ == '__main__':
find_good_man_on_important_life('same_time')
| [
"jingkaitang@gmail.com"
] | jingkaitang@gmail.com |
4193669d59d702301c8a680af941436e487d83a2 | d668209e9951d249020765c011a836f193004c01 | /tools/pnnx/tests/test_F_silu.py | 21a124a8e92bd41fafa2a6f67e6d6904f4780e51 | [
"BSD-3-Clause",
"Zlib",
"BSD-2-Clause"
] | permissive | Tencent/ncnn | d8371746c00439304c279041647362a723330a79 | 14b000d2b739bd0f169a9ccfeb042da06fa0a84a | refs/heads/master | 2023-08-31T14:04:36.635201 | 2023-08-31T04:19:23 | 2023-08-31T04:19:23 | 95,879,426 | 18,818 | 4,491 | NOASSERTION | 2023-09-14T15:44:56 | 2017-06-30T10:55:37 | C++ | UTF-8 | Python | false | false | 1,826 | py | # Tencent is pleased to support the open source community by making ncnn available.
#
# Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
#
# Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
# in compliance with the License. You may obtain a copy of the... | [
"noreply@github.com"
] | Tencent.noreply@github.com |
51b14d817462d85e0370586302393e45bb08c73c | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03167/s988207480.py | 4a82be30d78cd2283ea05f9de6e152cb9db37709 | [] | 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 | 514 | py | import queue
INF=10**8
R=10**9+7
h,w=map(int,input().split())
maze=[input() for _ in range(h)]
d=[[0 for i in range(h)] for _ in range(w)]
sx=0
sy=0
gx=w-1
gy=h-1
q=queue.Queue()
dx=[1,0]
dy=[0,1]
q.put((sx,sy))
d[sy][sx]=1
while not q.empty():
x,y=q.get()
if (x,y)==(gx,gy):break
for i in range(2):
nx=x+dx[i]... | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
b84d858f4aa17600b5469867581765b7f8caccc6 | a4bc88fe6c64f1a50822c034b015f0e0cb20e475 | /bin/pip2.7 | ccf21c7810645f04550b8bd35f744a8377e78e73 | [] | no_license | ptascio/DORIS | aa7e23478fbb870dc14da2eb1a12232d9a1092ad | 77fc73a43328dbdcd609ba9a217c2b79cc9025ce | refs/heads/master | 2021-01-23T01:29:38.262934 | 2017-06-10T23:59:09 | 2017-06-10T23:59:09 | 92,875,571 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 233 | 7 | #!/home/ubuntu/workspace/flask_todo/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from pip import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"Administrator@Administrators-MacBook-Pro-3.local"
] | Administrator@Administrators-MacBook-Pro-3.local |
92420392817d87ef383e175120625ac406cbd18b | d6971cc1772d972b4f52c1130ac0d6b3a62040f0 | /test.py | bd1447e244264a73722958f4ac0f21e6164180b1 | [] | no_license | robertcv/PyRecommender | 08f7bc3ae86da7ccd9f1c2526d0882eb2bea9aa0 | 615f33ed9cc1c6c5195d7027e789e7bd543bc857 | refs/heads/master | 2021-08-23T20:54:33.949934 | 2017-12-06T13:59:53 | 2017-12-06T13:59:53 | 76,566,346 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,114 | py | from Recommender import Recommender
r = Recommender()
r.parseMovieDB("db/movies.dat", "db/user_ratedmovies-timestamps.dat")
# print('____________________________________________________________')
# r.averagePrediction(100)
# print('____________________________________________________________')
# r.averagePrediction(10... | [
"robert.cvitkovic@gmail.com"
] | robert.cvitkovic@gmail.com |
e827dd67a53f765be086d6b0c2fc985cb7c26b89 | 09f54a4efddeadaad050c7834b7d0049ccd28442 | /LSTM_trainer.py | 07add9ef03b415b59a309e37a5e30f2bce96c575 | [] | no_license | pimklaassen/GeoLSTM | 7b798a33a3576023bd743d8210c700bb6af28f80 | bf0872c9f4e5cdfbbf2817971f2ae9c87a21089c | refs/heads/master | 2020-06-11T08:03:44.384341 | 2019-10-22T12:43:10 | 2019-10-22T12:43:10 | 193,899,840 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,843 | py | import matplotlib.pyplot as plt
import numpy as np
import sys
import os
import seaborn as sns
from keras.models import Model
from keras.layers import LSTM, Input, RepeatVector, Masking, Dropout, Dense
from keras.backend.tensorflow_backend import set_session
from keras.utils import to_categorical
from tensorflow import... | [
"Pim.o.klaassen@gmail.com"
] | Pim.o.klaassen@gmail.com |
fde33bfeecbf3dbbe09c75ba20f22c7de38830ef | 5aeb13e3185fd7eaae50ae4da72766dffe37ab60 | /beautiful_soup/img_scrape.py | 54f7ca1a92dee425de1341bb96f495d9026410c2 | [] | no_license | RedHenDev/python | f9787210e10f80eae84c7153ffc50845a92468a3 | a13c75c66f031e59246f5b87cd53a33ad51f9a2f | refs/heads/master | 2023-05-25T09:41:26.155720 | 2023-05-17T21:38:17 | 2023-05-17T21:38:17 | 212,212,352 | 3 | 5 | null | 2022-11-24T14:42:56 | 2019-10-01T22:38:38 | Python | UTF-8 | Python | false | false | 415 | py | import requests
from bs4 import BeautifulSoup
import os
url = "https://ccc.tela.org.uk/"
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
img_tags = soup.find_all('img')
urls = [img['src'] for img in img_tags]
for i, url in enumerate(urls):
print('found another...')
response = ... | [
"neobn@hotmail.com"
] | neobn@hotmail.com |
8757120c76e640b2957970e2df698b93891257da | ce4005ce4e91cc59733a52e908cba935eb11582e | /tests/Node.py | 55e3c6aaa0069b2f95d3e7959c3f0ef156b61c1f | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | permissive | Arielce/dio | a4322e0e47d9aa2bea36ac29a290290fdac8d0d3 | eb8035664f605783f86b41d34006aeb9ef861f13 | refs/heads/master | 2020-04-03T11:35:24.038809 | 2018-10-29T14:37:57 | 2018-10-29T14:37:57 | 155,226,338 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 55,731 | py | import copy
import decimal
import subprocess
import time
import os
import re
import datetime
import json
from core_symbol import CORE_SYMBOL
from testUtils import Utils
from testUtils import Account
from testUtils import EnumType
from testUtils import addEnum
from testUtils import unhandledEnumType
class ReturnType(E... | [
"13821402840@139.com"
] | 13821402840@139.com |
c2e975c70601b92c9be4f9a71b60ce11adb22d59 | ed0ec5df77066762d30c2f86f473c551b90375d6 | /bin/sync.py | 75c57655b0e47744b997a36619125f60c47eb2d4 | [
"MIT"
] | permissive | agude/dotfiles | 7441352b0b35b38c03625166deb05e66723e52e3 | bfce1be63a4a29432ceb98df76c8e5437d78c60b | refs/heads/master | 2023-08-07T18:40:10.024450 | 2023-07-28T16:08:33 | 2023-07-28T16:08:33 | 11,804,143 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,552 | py | #!/usr/bin/env python3
"""Calls rsync to synchronize the local and a remote machine.
Exit Codes:
0: Exit successful.
"""
from distutils.spawn import find_executable
from subprocess import call
import argparse
import logging
import os.path
import sys
FLAGS = set([
"--acls",
"--archive",
"--compress"... | [
"alex.public.account+dotfiles@gmail.com"
] | alex.public.account+dotfiles@gmail.com |
38b9b431a775c17cac50151a5e2bb5b71740e127 | bb1c30864fc963f61bbab0a71d206fbe6447fd09 | /test_autolens/integration/tests/result_passing/lens_light/instance_via_af_last_specify_light.py | 7a005d266a1c2d6541852bede44f71f39f8be5ff | [
"MIT"
] | permissive | pranath-reddy/PyAutoLens | c39c1aa413985c0a280da1b95e6cb55537f769cc | bcfb2e7b447aa24508fc648d60b6fd9b4fd852e7 | refs/heads/master | 2022-05-28T15:41:26.881648 | 2020-05-04T20:02:45 | 2020-05-04T20:02:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,641 | py | import autofit as af
import autolens as al
from test_autolens.integration.tests.imaging import runner
test_type = "reult_passing"
test_name = "lens_light_instance_via_af_last_specify_light"
data_type = "lens_sie__source_smooth"
data_resolution = "lsst"
def make_pipeline(name, phase_folders, non_linear_class=af.Multi... | [
"james.w.nightingale@durham.ac.uk"
] | james.w.nightingale@durham.ac.uk |
47c1eb63c8b72b52c548a9a5d54db9484a8f1c34 | d2aa487820826b046d41cfa9b68dfaebef180468 | /__init__.py | 273b1a4b6690eddd3bafd2feba49045f46fec7e8 | [
"MIT"
] | permissive | shv-om/lecture-planner | f542ddeadc96f711deaf20b7e509b8080eee5996 | 88e4b7d9bd9912afcbfc15bec3aad8fa5efd69be | refs/heads/main | 2023-07-13T04:47:03.657284 | 2021-08-17T18:56:35 | 2021-08-17T18:56:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,353 | py | """
Initialize Lecture Planner
"""
from os import system, name
try:
from lectureplanner import LecturePlanner
except ImportError as e:
print("Error loading Lecture Planner module :(")
menu = """
\t\t***Lecure Planner***
\t1. Input Data
\t2. Start Planning
\tq. Quit (q)
"""
def clear():
# for windows user
if nam... | [
"shivamchaudhary6197@gmail.com"
] | shivamchaudhary6197@gmail.com |
cfe841fb7dab9e357bcbe5e24e3431f48f229d42 | c53115a982037f8545816a077d495d0eb10bd984 | /venv/Scripts/pasteurize-script.py | c1e073950828cf12012490177ed77d43f6c3bca6 | [] | no_license | dssit/App02 | de6c7a0b36925433330b3d3bbe6bf4a13f9e4819 | 97db4817ca05a9adf71bf3777488daacaf110d27 | refs/heads/master | 2022-12-29T04:37:52.465463 | 2020-10-15T01:30:33 | 2020-10-15T01:30:33 | 304,176,899 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 411 | py | #!F:\python\App02\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'future==0.18.2','console_scripts','pasteurize'
__requires__ = 'future==0.18.2'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys... | [
"7725949+dssit@user.noreply.gitee.com"
] | 7725949+dssit@user.noreply.gitee.com |
d71e4cf1084e2921dde728e40f9c3ad65034dcff | 0506757a2ebfebe0a7eb93a43031784778836265 | /covid19/venv/Scripts/futurize-script.py | b2f28883ea08a346dcf0735da0d4dd77af25a87f | [] | no_license | SeungYeopB/bigdata | 90772c70c257c93adef90431e43a55e288224769 | dc5b0b3512dfa80e7c940c4328860c0d4aae99a7 | refs/heads/master | 2023-06-01T09:19:23.522689 | 2021-07-03T07:07:48 | 2021-07-03T07:07:48 | 382,545,218 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 986 | py | #!c:\bigdata\covid19\venv\scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'future==0.18.2','console_scripts','futurize'
import re
import sys
# for compatibility with easy_install; see #2198
__requires__ = 'future==0.18.2'
try:
from importlib.metadata import distribution
except ImportError:
try:
from i... | [
"="
] | = |
04e977d5b647056e41541ee1e3deb317f157bbc8 | 4df56db2e5b7b72493b020989d7619c370328212 | /app/main/__init__.py | a071b178b4feda88141d52331641ce91a1eefcbd | [] | no_license | HsOjo/ExamSystem | 0cb7930edcb904766928c24da3445033b7d1143a | 0b48dd700fcbedb45663d5402a4f7e7c9272e153 | refs/heads/master | 2020-05-26T02:55:13.426747 | 2019-06-29T22:35:59 | 2019-06-29T22:35:59 | 188,082,877 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 138 | py | from flask import Blueprint
main = Blueprint('main', __name__, template_folder='templates', static_folder='static')
from . import views
| [
"1134031392@qq.com"
] | 1134031392@qq.com |
5240062cac16cf1e417a72d4636318686b7b0433 | bb7746cb5db316a932ede0200bee2fb1f5e3162d | /1. Building APIs/2. FastAPI Deployment/example/main.py | 12cd522eb3c0533b77d70d23408bcb1769d8fbd6 | [] | no_license | adiwany/Cloud-and-DevOps | bf9ba0b37d70dbc6fc88c9817ae59554117dd600 | 2aef3b20d2120582fd80dee33897fb4f0bcefc62 | refs/heads/main | 2023-08-26T15:40:55.965672 | 2021-11-08T16:25:24 | 2021-11-08T16:25:24 | 425,945,784 | 0 | 0 | null | 2021-11-08T18:13:13 | 2021-11-08T18:13:12 | null | UTF-8 | Python | false | false | 337 | py | import fastapi
import uvicorn
from api import dob_api
from views import home
app = fastapi.FastAPI()
def configure_routing():
app.include_router(home.router)
app.include_router(dob_api.router)
if __name__ == '__main__':
configure_routing()
uvicorn.run(app, port=8000, host='127.0.0.1')
else:
co... | [
"harryaberg@gmail.com"
] | harryaberg@gmail.com |
81cff913410d53649edb703ba9e2cf418dd357aa | c49e991c0fd43bcca5fa624c9beb8a96fa6c0de6 | /create_employee_user/__manifest__.py | 15e6ad57477a6c7bb0e0bc4b15fb1ad933dbe4a3 | [] | no_license | VADR670730/apps-odoo12 | a822ac473129d088bfcad477ed834cdda60a3968 | 49ab7129d832c7972277c246382c52e269aaf72f | refs/heads/master | 2022-05-31T01:53:11.913976 | 2020-05-04T11:38:34 | 2020-05-04T11:38:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,958 | py | # -*- coding: utf-8 -*-
##############################################################################
#
# This module you will create of the system user and contact from HR Employee
# It will process the data entered and return a message indicating whether
# the company is eligible or not.
#
# Copyright (C... | [
"edgar.naranjo"
] | edgar.naranjo |
e38a84be34689a121f7630e0be71a892853bfd0a | 2bfa8f88dd1ce7a73bfac013f567b33520a99cb8 | /depthTo3d.py | 5f9b3fe90d489c84351438b25777859e77fa7f14 | [] | no_license | yaminikota95/ComputerVision | 46df68b153ddc14c32247c110647d644f8573731 | 48163658f15a0350895bbe086ca79bf0c2e3df3e | refs/heads/master | 2023-08-15T21:45:50.919258 | 2021-10-21T21:09:32 | 2021-10-21T21:09:32 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,940 | py | import numpy as np
import cv2 as cv
import glob
from matplotlib import pyplot as plt
################ FIND CHESSBOARD CORNERS - OBJECT POINTS AND IMAGE POINTS #############################
chessboardSize = (9,6)
frameSize = (640,480)
# termination criteria
criteria = (cv.TERM_CRITERIA_EPS + cv.TERM_CRITERIA_MAX_ITE... | [
"noreply@github.com"
] | yaminikota95.noreply@github.com |
d93341049c222de00d1435dfdcd43ca42781e011 | 6ba921390a5ad78433f79857ae3d319aeed1df8c | /interface/__init__.py | fc78bb79879f208103c872f27171bbcc799159a0 | [
"MIT"
] | permissive | ykingdsjj/CourseSelect | 10a51be31c48846b04db227e13adf89e22edd9be | 2993ba7f69112fa02b1786d205b3fc2dbecdc789 | refs/heads/master | 2021-10-09T05:57:08.825780 | 2018-12-22T09:20:18 | 2018-12-22T09:20:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 165 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2018/12/22 10:25 AM
# @Author : zhangjiang
# @Site :
# @File : __init__.py.py
# @Software: PyCharm | [
"zhangjiang@imcoming.cn"
] | zhangjiang@imcoming.cn |
11bc3917dfe4f578473ceb682f767ba39f94651f | 17f3cb73d9077fe06469cc3a7130293f12a9095f | /greater_2.py | 167f5d392e254974ee4cd59eac0a992cf21f53ff | [] | no_license | crazyuploader/Python | 9037427158beee8eaf3db79daae6c57f71ddbfdc | c8b2de8a66620864be85842dd974a0dc4dcc2bd2 | refs/heads/main | 2023-08-15T04:16:55.738823 | 2023-08-01T09:14:29 | 2023-08-01T09:14:29 | 233,270,237 | 0 | 3 | null | 2023-09-14T18:35:16 | 2020-01-11T17:31:11 | Python | UTF-8 | Python | false | false | 555 | py | #!/usr/bin/env python3
__author__ = "Jugal Kishore"
__version__ = "1.0"
print("///Program to Display Greater Number///")
print("\nEnter First Number: ")
a = int(input())
print("\nEnter Second Number: ")
b = int(input())
if a > b:
print("\nGreater Number between {0} and {1} is = {2}.".format(a, b, a))
elif b > a:
... | [
"49350241+crazyuploader@users.noreply.github.com"
] | 49350241+crazyuploader@users.noreply.github.com |
fd57bcbea1d64a2ad971b4d282c6c6b90a22e774 | 9743d5fd24822f79c156ad112229e25adb9ed6f6 | /xai/brain/wordbase/adjectives/_uphill.py | 4a07e25a7ea1e6741ed9f3888ed7c277825020d1 | [
"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 | 435 | py |
#calss header
class _UPHILL():
def __init__(self,):
self.name = "UPHILL"
self.definitions = [u'leading to a higher place on a slope: ', u'needing a large amount of effort: ']
self.parents = []
self.childen = []
self.properties = []
self.jsondata = {}
self.specie = 'adjectives'
def run(self, obj1... | [
"xingwang1991@gmail.com"
] | xingwang1991@gmail.com |
ccb81308eed9b9e5730a621e2b4a3fbda552538f | c0450361aa707635f5bf70eff21c1235d7e60cfa | /Lessons by HoudyHo/lesson (14).py | af963f7dc6838e6f849641c660348af41387cfcf | [] | no_license | zarkaltair/Learn-python | f48810b86e9832f4c364c345d1fa8624f9ced683 | dd6114b5bd6cc30eff328002521041dd2be2c3c5 | refs/heads/master | 2020-04-10T05:48:51.052751 | 2019-01-23T18:48:34 | 2019-01-23T18:48:34 | 160,837,639 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 333 | py | import random
for i in range(10):
print(random.randint(1,100))
import math
num=10
print(math.sqrt(num))
from random import randint
print(randint(1,10))
from math import*
print(sqrt(25))
from math import*
print(pi)
from math import sqrt,pi
from math import sqrt as my_sqrt
def sqrt():
print('my function')
print(m... | [
"zarkaltair@gmail.com"
] | zarkaltair@gmail.com |
d51af6f55723ced7f1f7eed4375f0a64b731eae9 | e7164d44058a06331c034cc17eefe1521d6c95a2 | /python-wrapper/segment.py | 3e675e6ff50678963fbb76dcbbc96df4d7abf6ff | [] | no_license | chenghuige/gezi | fbc1e655396fbc365fffacc10409d35d20e3952c | 4fc8f9a3c5837e8add720bf6954a4f52abfff8b5 | refs/heads/master | 2021-01-20T01:57:18.362413 | 2016-11-08T15:34:07 | 2016-11-08T15:34:07 | 101,304,774 | 0 | 3 | null | null | null | null | UTF-8 | Python | false | false | 2,209 | py | import os
import sys
import glob
from pyplusplus import module_builder
root = '/home/users/chenghuige/rsc/'
name = 'segment'
#define_symbols = ['GCCXML','PYTHON_WRAPPER','NO_BAIDU_DEP']
define_symbols = ['GCCXML','PYTHON_WRAPPER']
files = [
'include.python/common_util.h', #for safe let it be first f... | [
"chenghuige@fa64baa9-71d1-4fed-97ae-c15534abce97"
] | chenghuige@fa64baa9-71d1-4fed-97ae-c15534abce97 |
91d56317f2f750056e042724cdef6a742f9b675e | 9ed4a4b50de33ff23f4a4ee709cb7a634996d801 | /movie/migrations/0001_initial.py | e9213972ea3e8474cc1309d74f0d32ce0319ace6 | [] | no_license | Dean-shiyi/django | 8ec06ba256e23db9b8642c99f463e7662ef00344 | b0e7d53dbafb58618d296752180cb3e86b9be091 | refs/heads/master | 2020-05-17T23:51:02.244087 | 2019-04-29T09:38:53 | 2019-04-29T09:38:53 | 184,039,983 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 794 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.20 on 2019-04-28 10:19
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Movie... | [
"admin@shiyi.local"
] | admin@shiyi.local |
2c8ce94c10e7d8264f24f6c59a3fea4aaa18be0c | 066ee4df594a5dc90335d271b9d5a1b1e2a4d34c | /y/google-cloud-sdk/platform/google_appengine/google/appengine/tools/devappserver2/admin/admin_server.py | b7a9ebc2fb5517e3f4165380324ac65c95ff86f6 | [
"Apache-2.0",
"LGPL-2.1-or-later",
"BSD-3-Clause",
"MIT",
"GPL-2.0-or-later",
"MPL-1.1",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | ychen820/microblog | a2d82447525325ec58285c2e5db58b79cceaca1b | d379afa2db3582d5c3be652165f0e9e2e0c154c6 | refs/heads/master | 2021-01-20T05:58:48.424357 | 2015-04-28T22:03:09 | 2015-04-28T22:03:09 | 32,948,331 | 0 | 2 | BSD-3-Clause | 2020-07-25T05:04:35 | 2015-03-26T19:45:07 | Python | UTF-8 | Python | false | false | 5,716 | py | #!/usr/bin/env python
#
# Copyright 2007 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | [
"ychen207@binghamton.edu"
] | ychen207@binghamton.edu |
9c06e3fee9b162e60c22c3a364ff13cc9c4004bb | 9f3cc2cb6a853560a69ecb14af1ad3080650f954 | /Week4_Lesson2/join2_reducer.py | 731fbb10d50335ea394bc5c7f599bf7ce0e850fd | [] | no_license | andrez00/Hadoop-Coursera | c4cb0bd85f24db472125f46d6cd792cdcfead8fa | 147f460aa760df12c8d3009b148d5f7563635025 | refs/heads/master | 2020-04-05T17:05:05.253338 | 2018-11-11T03:36:21 | 2018-11-11T03:36:21 | 157,043,695 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,153 | py | #!/usr/bin/env python
import sys
#----
# see https://docs.python.org/2/tutorial/index.html for python tutorials
#[Source code] https://github.com/kiichi/CourseraBigData/blob/master/map_reduce_join_python/join2_reducer.py
#----
last_key = None #initialize these variables
running_total = 0
abc_found ... | [
"43712233+andrez00@users.noreply.github.com"
] | 43712233+andrez00@users.noreply.github.com |
a578fd177e8e56258aff2a691ced34b0db9fdf3a | e1dbb3111a8497eaac0544636c0849e5f65676b6 | /backend/manage.py | 4a823ef2c323e2e8892daea8fbd48a101b30591f | [] | no_license | crowdbotics-apps/other-25649 | f78854ddd25b596653f0a233c8fd004b1fb2df5d | 5df42438e06420d2d4503b22189be9b1c639c310 | refs/heads/master | 2023-04-08T16:37:13.862160 | 2021-04-12T12:25:24 | 2021-04-12T12:25:24 | 357,184,141 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 631 | py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'other_25649.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise Im... | [
"team@crowdbotics.com"
] | team@crowdbotics.com |
c4d0b7dfe9a8edbb2cfdf881c7b5724d86302f54 | 6130221f57664ca03adbd215cff45cd0681c3881 | /app_proyecto01/apps.py | 3618145e667c1042f7485dc4d0c2f76797cc2e49 | [] | no_license | verje/Simple-Blog | 53164ff304d36beb1e519bed7e9325f5897bf6ff | c4c3cf44e21e0df33a19d96641e624d40bb0f008 | refs/heads/master | 2022-10-15T11:23:08.786031 | 2020-06-12T16:55:48 | 2020-06-12T16:55:48 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 102 | py | from django.apps import AppConfig
class AppProyecto01Config(AppConfig):
name = 'app_proyecto01'
| [
"jesus_jarm@yahoo.com"
] | jesus_jarm@yahoo.com |
4c3414828d29370ae2304f95d78e7420bf33bfb1 | 0e478f3d8b6c323c093455428c9094c45de13bac | /src/OTLMOW/PostenMapping/Model/Post060361226.py | e9c499ee16577307dabf18dc0ca996d2ef260913 | [
"MIT"
] | permissive | davidvlaminck/OTLMOW | c6eae90b2cab8a741271002cde454427ca8b75ba | 48f8c357c475da1d2a1bc7820556843d4b37838d | refs/heads/main | 2023-01-12T05:08:40.442734 | 2023-01-10T15:26:39 | 2023-01-10T15:26:39 | 432,681,113 | 3 | 1 | MIT | 2022-06-20T20:36:00 | 2021-11-28T10:28:24 | Python | UTF-8 | Python | false | false | 4,392 | py | # coding=utf-8
from OTLMOW.PostenMapping.StandaardPost import StandaardPost
from OTLMOW.PostenMapping.StandaardPostMapping import StandaardPostMapping
# Generated with PostenCreator. To modify: extend, do not edit
class Post060361226(StandaardPost):
def __init__(self):
super().__init__(
nummer... | [
"david.vlaminck@mow.vlaanderen.be"
] | david.vlaminck@mow.vlaanderen.be |
f8bb15de2bfa0b6810bcf4adbf68ce75096399b1 | 2e682fd72e3feaa70e3f7bf2a3b83c50d783ec02 | /PyTorch/contrib/cv/detection/SSD-Resnet/eval.py | 32420567ee24637672cd21a6a4cfb664f2767b2d | [
"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 | 8,808 | py | # Copyright (c) 2018-2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... | [
"wangjiangben@huawei.com"
] | wangjiangben@huawei.com |
99cb695db4bbb2ce1d7d866cfefbc5bda140e4b6 | 3e9ea1ff124159906215e7fa9b625a73cb4b5258 | /tests/test_slurm.py | d3e5e9bd33574a8a08e8a27dd746e5199e3b3914 | [
"MIT"
] | permissive | tamburinif/slurm | d65aecbeeecabe8a150f5fee472ad5603af04cc8 | 925adada26978978e7e8fd7ee777046a0470ccc3 | refs/heads/master | 2021-07-16T11:52:02.833529 | 2021-02-15T22:13:33 | 2021-02-15T22:13:33 | 240,618,292 | 0 | 0 | MIT | 2020-02-14T23:49:26 | 2020-02-14T23:49:26 | null | UTF-8 | Python | false | false | 2,988 | py | #!/usr/bin/env python3
import pytest
import time
@pytest.fixture
def profile(cookie_factory, data):
cookie_factory()
@pytest.mark.slow
@pytest.mark.skipci
def test_no_timeout(smk_runner, profile):
"""Test that rule that updates runtime doesn't timeout"""
smk_runner.make_target("timeout.txt")
assert ... | [
"per.unneberg@scilifelab.se"
] | per.unneberg@scilifelab.se |
af15845c90defb046faea5d8943043b47c0ed874 | c741f04141784a2571d2d27d95e0d994e4584ab1 | /learning/py3/基本数据类型/List（列表）/注意.py | 145b660838690adc8eecc3b0bac4da911490bd50 | [] | no_license | haodonghui/python | bbdece136620bc6f787b4942d6e1760ed808afd4 | 365062ba54297c81093b7f378742e76d438658b7 | refs/heads/master | 2022-02-03T23:52:37.288503 | 2022-01-27T05:23:25 | 2022-01-27T05:23:25 | 191,729,797 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 235 | py | """
注意：
1、List写在方括号之间，元素用逗号隔开。
2、和字符串一样，list可以被索引和切片。
3、List可以使用+操作符进行拼接。
4、List中的元素是可以改变的。
""" | [
"haodonghui@yestae.com"
] | haodonghui@yestae.com |
ad397c3ccf428aba349d36890a58767b6b21a677 | 24449e77422a6236acd17b945174c546c55a7082 | /exr1.py | 0793c174398ba409676b599ca3022cced687dbeb | [] | no_license | MahdieRrad/ImgeP-3 | 48297cdf7d0c5d6fb69772bb4d096f1266d0a3b6 | 99c75682968edd9fe3163e8febef5c591d47dd98 | refs/heads/main | 2023-08-23T10:33:30.835774 | 2021-11-06T14:04:54 | 2021-11-06T14:04:54 | 424,978,692 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 157 | py | import cv2
img1 = cv2.imread('a.tif')
img2 = cv2.imread('b.tif' )
imge = img2 - img1
cv2.imwrite('Scrt.jpg' , imge)
cv2.imshow('Scrt',imge)
cv2.waitKey()
| [
"noreply@github.com"
] | MahdieRrad.noreply@github.com |
5ca34df0861e04d99dc995c7fc34161219b92c1d | 2d59afbe33eccd836aa0673d43d3b23a30d0422a | /mysite/hello/views.py | 14c16019ee8059972b77d4695e061c0696a923e6 | [] | no_license | wwwangxinyi/django_projects | a60eb705aca68e53449a5c83e69e4b2e45addca3 | 62d13bb9240cbfbe080c8a0f8744883c8216fd58 | refs/heads/master | 2023-03-23T22:48:58.623669 | 2021-03-14T04:07:00 | 2021-03-14T04:07:00 | 342,107,106 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 429 | py | from django.http import HttpResponse
def sessfun(request) :
request
num_visits = request.session.get('num_visits', 0) + 1
request.session['num_visits'] = num_visits
if num_visits > 4 : del(request.session['num_visits'])
resp = HttpResponse('view count='+str(num_visits))
resp.set_cookie('dj4e_co... | [
"youremail@umich.edu"
] | youremail@umich.edu |
efd39ce2b2ee56e7d45f29574ff2e9e5a8633b1f | 9afef9a6a25bbcde30596fa2fb3dce2bd6f4f6f6 | /setup.py | 840c1cfb4c74d81f67fa1e1894f6cfa75c4a7483 | [] | no_license | msnyd/my-lambdata-package | 2dcf3cda55b86aa071cce8fd1d7d82126db44ddf | 64657a7e3ca9f41671a95d81353135622127a6fe | refs/heads/master | 2021-01-02T12:41:40.113648 | 2020-02-11T18:49:36 | 2020-02-11T18:49:36 | 239,629,597 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 555 | py | from setuptools import find_packages, setup
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name="msnyd-helper-functions",
version="1.3",
author="M Snyder",
author_email="msnyder97@gmail.com",
description="Useful data science functions",
long_description=long_descrip... | [
"46577534+msnyd@users.noreply.github.com"
] | 46577534+msnyd@users.noreply.github.com |
de324d4a4599251bc494e523cfd835ac6636c62c | 5a4436884af5341ce855c0e84866b972a0f61c05 | /day1/expressions/28.py | cdf3516accacba87257b18e8580d17bf50b3169a | [] | no_license | sreejithev/pythoncodes | 74a420c4f025b893e27f17ba85632a4a096f17fd | 70df14871a9687916d1c4ada76c055607f13e8ce | refs/heads/master | 2021-01-21T20:59:47.056167 | 2017-06-19T09:43:17 | 2017-06-19T09:43:17 | 92,292,259 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 31 | py | print 'hello'
# print 'world'
| [
"sreejithevwyd@gmail.com"
] | sreejithevwyd@gmail.com |
f2f63b88a5d5ccf7652ef38e040b3f1eaa84e1af | f319ed30f5b71f9eae5b7e3d1b94f0a61180a80a | /code/toys/SineRegression.py | 1058eec5501f29cc57994a52e05f6281d04ec013 | [] | no_license | greentfrapp/metaphor | a170b0ecca2963c4c99e3ae63f2b3437af950f30 | 229e3c6b408cc9307141e7c8564b78b9370f3848 | refs/heads/master | 2022-03-10T00:15:40.012281 | 2019-10-19T19:13:47 | 2019-10-19T19:13:47 | 212,151,830 | 0 | 0 | null | 2019-10-19T19:13:47 | 2019-10-01T17:00:39 | Python | UTF-8 | Python | false | false | 1,739 | py | """
The Sine Regression toy problem as first described by Finn et al.
(2017). To quote from the paper:
Each task involves regressing from the input to the output of a
sine wave, where the amplitude and phase of the sinusoid are
varied between tasks. Thus, p(T) is continuous, where the
amplitude varies within [0... | [
"limsweekiat@gmail.com"
] | limsweekiat@gmail.com |
ebfd7331f9d6cbbf9eade56aa56fcfd4f0dd81f3 | ad733caded665623f46a9b15b834911b34f8ff19 | /maratona/models.py | a6b8a3a01f94a75a5ec4f96aaa2c281395ec9139 | [] | no_license | uilton-oliveira/maratonafc3_django | eda7a74aebb7477b573d0bee5f851dbedd3138b3 | 51a70b83f59a8bd9a15a57f9fb49151ee7742f6b | refs/heads/master | 2022-11-11T14:47:39.273293 | 2020-07-02T21:06:58 | 2020-07-02T21:06:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 330 | py | from django.db import models
class Aula(models.Model):
title = models.CharField(max_length=200)
image_url = models.TextField('image url')
video_url = models.TextField('video url', default=None, blank=True, null=True)
live_date = models.DateTimeField('live date')
def __str__(self):
return ... | [
"uilton.oliveira@cortex-intelligence.com"
] | uilton.oliveira@cortex-intelligence.com |
ca6bec6ed6be07c0c69746803ccb73ad32d37329 | 48ddaeb3eb7b127ccf6ce362b2a42307ecacc875 | /src/filters/filter_lat_lon_to_cartesian.py | 0300e89505eadc5abdac2cd1189ab2932e590e58 | [
"BSD-3-Clause"
] | permissive | aashish24/ParaViewGeophysics | f720cdf2555f2a81801dfa4132189a040c980b8b | d9a71ffd21a57fa0eb704c5f6893ec9b1ddf6da6 | refs/heads/master | 2022-03-05T15:23:56.166299 | 2017-11-10T22:28:44 | 2017-11-10T22:28:44 | 110,368,572 | 0 | 0 | BSD-3-Clause | 2020-01-12T00:22:22 | 2017-11-11T18:12:25 | Python | UTF-8 | Python | false | false | 2,042 | py | Name = 'LatLonToCartesian'
Label = 'Lat Lon To Cartesian'
FilterCategory = 'CSM Geophysics Filters'
Help = 'Help for the Test Filter'
NumberOfInputs = 1
InputDataType = 'vtkTable'
OutputDataType = 'vtkTable'
ExtraXml = ''
Properties = dict(
Radius=6371.0,
lat_i=1,
lon_i=0,
)
# TODO: filter works but ass... | [
"chrsulli@mines.edu"
] | chrsulli@mines.edu |
b9e9d7352029861962828c90619ec119a8da1245 | a37b54df55c2475a5a75dfe37db02c1af8c86234 | /dep/wand/drawing.py | 4c576fb4619dfda104f94508f55adeca6d9e5f8b | [] | no_license | lovexinforever/wallpaper | 5ba366bdae7a4a838b8eb0a35bdfe41cbda7abb4 | d279261dff0f647ece7fbb33c4234273cccca4d1 | refs/heads/master | 2023-03-20T01:09:12.244409 | 2021-03-02T07:14:36 | 2021-03-02T07:14:36 | 259,499,327 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 82,378 | py | """:mod:`wand.drawing` --- Drawings
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The module provides some vector drawing functions.
.. versionadded:: 0.3.0
"""
import collections
import ctypes
import numbers
from .api import (AffineMatrix, MagickPixelPacket, PixelInfo, PointInfo,
library)
from .color impor... | [
"514387454@qq.com"
] | 514387454@qq.com |
77e5796a70dd85d3f790f641fff4f58e94fb2bd5 | 24e795724343272baa1f17d2dd114eb6bb3d88d1 | /Practice_18.py | 039196accaea7c3f30227bbcd74e55fee847c15e | [] | no_license | WangYangLau/learnpython | e36e1e0c33049c1429e39305aac2041894854577 | 8e30e32c899a1f3ff863856b2ce49d3cdeec715d | refs/heads/master | 2021-05-09T04:07:52.370614 | 2018-02-23T09:50:08 | 2018-02-23T09:50:08 | 119,263,086 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 549 | py | # -*- coding:utf-8 -*-
#功能：使用匿名函数修改代码
print(u'功能：使用匿名函数修改代码：')
print('>>>------------------------------------------------------------------------<<<')
print(u'源代码：')
print(u'def is_odd(n):\n return n % 2 == 1')
def is_odd(n):
return n % 2 == 1
L = list(filter(is_odd,range(1,20)))
print(L)
print('>>>---------------... | [
"d13532641570@sina.com"
] | d13532641570@sina.com |
3bea2d2337ff018591755799851db7cdb825e197 | b5417a88698d27da258aafece80c6799c72ed17a | /python/gui.py | f31758fbf9d79b9b87a5e4fdbe811a49bd86d1e5 | [] | no_license | yangyiLTS/myGraduationDisign | e22f69f4b6dc4aad26d6f61715df7cfdebafdeb2 | 5f748e015a719a193e94e0e59699cf048fb60029 | refs/heads/master | 2021-09-10T18:50:22.166261 | 2018-03-31T02:51:25 | 2018-03-31T02:51:25 | 124,567,455 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,049 | py | # -*- coding: utf-8 -*-
###########################################################################
## Python code generated with wxFormBuilder (version Jun 17 2015)
## http://www.wxformbuilder.org/
##
## PLEASE DO "NOT" EDIT THIS FILE!
###########################################################################
impo... | [
"641016261@qq.com"
] | 641016261@qq.com |
5c01e6ebccbde1df2187e06649bbcd2e11b766df | a3ef7fea843abf7623810e4eb9169a1ab53e948f | /sHIeR_hogwarts/test_lubo/pytest_lubo_demo.py | 9ae4ed5b654c32d83a30967efdca833b876ae1b4 | [] | no_license | Lee-121/sHIeR | ba6f816b7628786d9d58936b7ff26be89347f780 | c40f94577959a7a03db1d0f12191124ac01b65c9 | refs/heads/master | 2022-11-30T14:11:52.686005 | 2020-08-07T00:21:39 | 2020-08-07T00:21:39 | 283,985,503 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 254 | py |
import pytest
import yaml
class TestClass:
@pytest.mark.parametrize("env",yaml.safe_load(open("./env.yml")))
def testclass(self,env):
if "test" in env:
print("这是测试环境")
print("测试环境IP是：",env["test"]) | [
"lidong27969@163.com"
] | lidong27969@163.com |
80e2beb51f9bc744c2ad3281e31ca4984400db1e | 9ffc6df101c55f66b8a392c5f0076ef23aeef8d9 | /GUI/ui_ExplorationWindow.py | 6019e33644ebdb7885e63041c3f22a24a7de1d66 | [] | no_license | anliec/py-mosaic | 92b85db16b9ce003fe190019a58ad5740f2c3693 | 1e7dc30da1d1b4fd7e761cfdd287b35c83c26de8 | refs/heads/master | 2021-01-18T21:11:03.841090 | 2017-07-10T19:46:09 | 2017-07-10T19:46:09 | 87,012,399 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,133 | py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'explorationwindows.ui'
#
# Created by: PyQt5 UI code generator 5.8
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_Dialog(object):
def setupUi(self, Dialog):
Dialog.s... | [
"nicolas.six@insa-lyon.fr"
] | nicolas.six@insa-lyon.fr |
06c160162788075020cfb5afa273340034f0291d | 32fe3b08e89267a05ab0ae8636de094e3f47f71d | /Week_07/547.friend-circles.py | c9ca51064dbfb0a6af4239a7bddfeb2a4ab3ec04 | [] | no_license | luyanfei/algorithm016 | eb66e118a8fb517c95cc663f87f600cc7ff06d94 | 585026fb158fb6fe8737123d66447c305b1e4c51 | refs/heads/master | 2023-02-08T07:08:53.267872 | 2020-12-29T02:59:58 | 2020-12-29T02:59:58 | 293,283,847 | 0 | 0 | null | 2020-09-06T13:36:03 | 2020-09-06T13:36:02 | null | UTF-8 | Python | false | false | 2,207 | py | #
# @lc app=leetcode.cn id=547 lang=python3
#
# [547] 朋友圈
#
# https://leetcode-cn.com/problems/friend-circles/description/
#
# algorithms
# Medium (58.59%)
# Total Accepted: 72.4K
# Total Submissions: 123.2K
# Testcase Example: '[[1,1,0],[1,1,0],[0,0,1]]'
#
# 班上有 N 名学生。其中有些人是朋友，有些则不是。他们的友谊具有是传递性。如果已知 A 是 B 的朋友，B 是 ... | [
"luyanfei78@163.com"
] | luyanfei78@163.com |
e7d2b285ef08d7fec28ec285da4ef32b68669586 | c265a33e3bacded3d0699831ae6e0d7dcf317c06 | /googleplaystore.py | eaf4489f8e29ba7acaa22ff991c283c8259ccdc1 | [] | no_license | luma24/CNA330-SQL-FinalProject | dad742b6af3f2dfcff5ca514f9db492302190730 | 16fbbd9c52becfe9473982aee39529ee08cc9b47 | refs/heads/main | 2023-01-31T03:41:06.406705 | 2020-12-10T01:54:29 | 2020-12-10T01:54:29 | 315,171,935 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,121 | py |
# CNA330 12/2/2020
# This script is to migrate the resulting of the database(googleplaystore) from this project into a cloud(I used AWS).
import pandas as pd
from sqlalchemy import create_engine
hostname = "18.217.178.166"
uname = "pythoneverything"
pwd = "python123"
dbname = "googleplaystore"
engine ... | [
"noreply@github.com"
] | luma24.noreply@github.com |
52136f2ea223a4914f9aa8ac2be2ae948c9c7326 | 2ac829af0520dcba8f4eee987715eda7d2a43422 | /src/supplementary.py | 25fa8d4b97c9cfa39ce1ccbbab83827ced28aea5 | [] | no_license | Maslyaev/Evolutionary | 9024e88fce0d306668e2c2a835e3098b1dd538fc | 61d8159550f7cd98b2a698ec3ae479b91d2d25be | refs/heads/master | 2021-07-24T17:58:30.731966 | 2020-03-04T16:45:59 | 2020-03-04T16:45:59 | 195,274,198 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,038 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Feb 13 16:33:34 2020
@author: mike_ubuntu
"""
import numpy as np
def Slice_Data_3D(matrix, part = 4, part_tuple = None): # Input matrix slicing for separate domain calculation
if part_tuple:
for i in range(part_tuple[0]):
f... | [
"noreply@github.com"
] | Maslyaev.noreply@github.com |
64bf4574ffaf7c9e7254ba5ed68d070ff062dda6 | 53f8516c3d3aae5104dd376355947000cee942c5 | /app/views.py | 713aa858d5c17b980eb8f4a1be7e57b84c11fd58 | [] | no_license | NoriKaneshige/Django_Multiple_File_Upload_by_Formset_without_Models | 7f8318fa7017ad356df945b87e6ba12dbbfca4c1 | c55949321deb0ba1b92725f773f8f30d57846d33 | refs/heads/master | 2022-07-09T16:16:09.608785 | 2020-05-07T23:03:39 | 2020-05-07T23:03:39 | 262,169,244 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 406 | py | from django.views import generic
from .forms import UploadFormSet
class MultiUploadView(generic.FormView):
form_class = UploadFormSet
template_name = 'app/upload.html'
def form_valid(self, form):
download_url_list = form.save()
context = {
'download_url_list': download_url_lis... | [
"atsunori@umich.edu"
] | atsunori@umich.edu |
19aef23ec0d15019d2caa02e699ed5b558bd5a3e | 66981c1cc17b7d720bf09458aa528c14164b1696 | /policyopt/nn.py | a6d0d5e5b17a49db853e6d707bb214bf28e7fd44 | [
"MIT"
] | permissive | KAIST-AILab/gmmil | d451dbf9d050f602c5ced15188b7999b7b3a900d | f49d3c9bf6221cb534142b8ddf22d60dd9fa711f | refs/heads/master | 2020-03-21T22:10:47.641735 | 2018-10-02T01:38:47 | 2018-10-02T01:38:47 | 139,109,233 | 13 | 2 | null | null | null | null | UTF-8 | Python | false | false | 18,313 | py | from contextlib import contextmanager
import collections
import h5py
import hashlib
import json
import numpy as np
import os
import os.path
import tables, warnings; warnings.filterwarnings('ignore', category=tables.NaturalNameWarning)
import util
import theano
from theano import tensor
# Global variable scoping utili... | [
"tzs930@gmail.com"
] | tzs930@gmail.com |
7c394d68658896ec9290dcefbe2b972c0e4a4ac0 | 93d8aec11b078ec8fb6c0465a6b351118855e92c | /customers/__init__.py | b35f5072c2b4723ce5738e7bc3d78e378adb5555 | [] | no_license | Knevels1/Kennels-python-server | a17a5e4b3f93b36d78059792613da3d61df818f4 | 658af3865a72dd7751ae9582823bbc24e9d845bf | refs/heads/main | 2023-02-23T19:58:46.563503 | 2021-01-26T11:53:49 | 2021-01-26T11:53:49 | 329,032,602 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 83 | py | from .request import get_all_customers, get_single_customer, get_customers_by_email | [
"kyle.a.nevels@icloud.com"
] | kyle.a.nevels@icloud.com |
e771e33ed425370e65d67ee7532a3bfb37c7fbd1 | ab621c65fc91f5194c4032d68e750efaa5f85682 | /pabi_account_report/reports/jasper_report_cd_receivable_follow_up.py | fb689df765d1abcd09ee3ddafcbb3e456b13c360 | [] | no_license | pabi2/pb2_addons | a1ca010002849b125dd89bd3d60a54cd9b9cdeef | e8c21082c187f4639373b29a7a0905d069d770f2 | refs/heads/master | 2021-06-04T19:38:53.048882 | 2020-11-25T03:18:24 | 2020-11-25T03:18:24 | 95,765,121 | 6 | 15 | null | 2022-10-06T04:28:27 | 2017-06-29T10:08:49 | Python | UTF-8 | Python | false | false | 3,158 | py | # -*- coding: utf-8 -*-
from openerp import models, fields, api
from datetime import datetime
import time
class JasperReportCDReceivableFollowUp(models.TransientModel):
_name = 'jasper.report.cd.receivable.follow.up'
_inherit = 'report.account.common'
filter = fields.Selection(
readonly=True,
... | [
"tharathip.chaweewongphan@gmail.com"
] | tharathip.chaweewongphan@gmail.com |
500bec668d0497d0f70c937059f1fe7ef4e296ce | 766896c67dc8099523a1895b884c020645a0c081 | /6-8.py | 1250e54666bcca42d87c9d9d4a0870ffa33fb4b6 | [] | no_license | ebertx/thinking-python | cf9daa02bc5106f872ec8c4f083d6a2d32fcb778 | bb08f58806e26a14d3420454f7b7271a8de85c28 | refs/heads/master | 2016-09-06T05:30:23.659158 | 2015-02-27T07:51:10 | 2015-02-27T07:51:10 | 29,249,177 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 91 | py | def gcd(a, b):
if b == 0:
return a
return gcd(b, a % b)
print gcd(18, 25) | [
"ebertx@gmail.com"
] | ebertx@gmail.com |
81473f6d78e0e83898ca6d588502428d6b6fc236 | 4e9c7fb648bbe4b15edeef4e9ea07cd47d10d6b7 | /primenum.py | a537646041bca23d8e404115cf546f60e79fd46c | [] | no_license | SowndaryaDhanasekaran/Set-2 | eb79a67dbe8f729f51e3eb089eccac63b5cbdde0 | 4292b85c26d5e62e6b5b14cec1b1850635649def | refs/heads/master | 2020-03-22T21:36:15.127187 | 2018-07-12T11:23:38 | 2018-07-12T11:23:38 | 140,699,860 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 192 | py | number=int(input())
count=0
if(number<=1000):
for i in range(2,number):
if(number%2==0):
count=count+1
if(count==2):
print("yes")
else:
print("no")
else:
print("no")
| [
"noreply@github.com"
] | SowndaryaDhanasekaran.noreply@github.com |
db9cb26e608d2d2e03001dcabc64eed4c52063ec | 5b641d7b69ba0d43bd224d19831ab67a5b101582 | /talks/julyPlenary/comparison.py | 4fd56eff5230a4d8f0c18fd7d54cc32193bdc749 | [] | no_license | jpivarski-talks/1999-2006_gradschool-2 | 9d7a4e91bbde6dc7f472ea21253b32a0eca104e4 | ca889b4d09814a226513e39625ae2f140c97b5d5 | refs/heads/master | 2022-11-19T11:37:55.623868 | 2020-07-25T01:19:32 | 2020-07-25T01:19:32 | 282,235,528 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 210 | py | from math import *
import biggles, Numeric
scoarse1S = (1.43, 0.07)
coarse1S = (1.32, 0.01)
fine1S = (1.28, 0.01)
scoarse2S = (1.2, 0.1)
coarse2S = (0.77, 0.05)
fine2S = (0.67, 0.03)
res = [0.2, 0.4, 0.75]
| [
"jpivarski@gmail.com"
] | jpivarski@gmail.com |
7d5721bd1de2add787d846527418b63ef851cb95 | adddf15b6ad343b2dc4e835fb913f56ebf81d7dd | /example/mnist_train.py | 05d9a524d8511b8024dec6fcdba973b04c92b5a5 | [] | no_license | antinucleon/TVMFlow | 79edb55a6884115965b4e14a74362dca77132b12 | eabbc9aa08bf38b87453bf12ceebd7c98a0513a0 | refs/heads/master | 2021-06-30T00:23:23.693293 | 2017-09-19T09:29:03 | 2017-09-19T09:29:03 | 102,164,065 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,170 | py | """Tinyflow example code.
This code is adapted from Tensorflow's MNIST Tutorial with minimum code changes.
"""
import tvmflow as tf
from tvmflow.datasets import get_mnist
# Create the model
x = tf.placeholder(tf.float32, [None, 784], name="x")
fc1 = tf.nn.fully_connected(x, 32, 784, "fc1")
act1 = tf.nn.relu(fc1, "re... | [
"bingxu@apple.com"
] | bingxu@apple.com |
a595129b4b0e3c4a78b7775a7c210e32ce11707b | fa6a98c44a46c9880711c1b2fba473fd223ee479 | /fab_series.py | 1e05315591c020ff00ccd562c44558e136a8d2c7 | [] | no_license | RajeevSharma110/HashCode-jr-Explorer-Age | 340796190abfb73380a1a68169f3dc22574956e1 | 86d9f0b052fbf866bdce999fb9014ebbbfa2f70e | refs/heads/main | 2023-08-07T19:28:32.521550 | 2021-10-01T12:00:49 | 2021-10-01T12:00:49 | 408,006,264 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 539 | py | noofterms = int(input("How many terms you want? "))
# first two terms
n1 = 0
n2 = 1
count = 2
# check if the number of terms is valid
if noofterms <= 0:
print("Plese enter a positive integer")
elif noofterms == 1:
print("Fibonacci sequence:")
print(n1)
else:
print("Fibona... | [
"noreply@github.com"
] | RajeevSharma110.noreply@github.com |
e3d631d2ed4799f063e63482720856bba00f372b | b55c22ae8ad2317e09b3c75fa5e57963cfa9e20e | /server1.py | 1a5647124189a0964a2c572afd7328c9e23b412a | [] | no_license | AstraLee/finalproject_industry4 | 0180e0f58283aa63afb7fa2a5c8681b1eafd6596 | 1ca0846ee0474aa0ac363475f0f36255b7cb3ad7 | refs/heads/master | 2020-06-02T11:08:11.936281 | 2019-06-27T04:20:52 | 2019-06-27T04:20:52 | 191,135,732 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,249 | py | import socket
import time
import pymongo
from bson import ObjectId
import pprint
def main():
# Connect to MongoDB instance
connection = pymongo.MongoClient("mongodb://localhost:27017")
database = connection['my_database']
collection = database['my_collection']
encoder = database.encoder_values
... | [
"astra_1995@hotmail.com"
] | astra_1995@hotmail.com |
b97e09bc6e666dccaa4b793e0fb9ffcfc4ed81df | c8b2e8ab65e82ed4a0a245fd238e98f51aa2d0ac | /SylNet_model_tf2.py | c7fceb76994ff7efb3ea8f263e8d175c586fc991 | [
"MIT"
] | permissive | shreyas253/SylNet | da80bb67b78afb4b65d4ed325d5be4dc15b5e222 | 29eb34d614907073735f9c2d8c31da22c1be2282 | refs/heads/master | 2023-06-09T02:43:52.786558 | 2023-05-25T06:59:19 | 2023-05-25T06:59:19 | 168,553,422 | 20 | 6 | null | null | null | null | UTF-8 | Python | false | false | 9,188 | py | __author__ = "Lauri Juvela, lauri.juvela@aalto.fi; Shreyas Seshadri, shreyas.seshadri@aalto.fi"
import os
import sys
import math
import numpy as np
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
_FLOATX = tf.float32
def get_weight_variable(n... | [
"okko.rasanen@tuni.fi"
] | okko.rasanen@tuni.fi |
34c94c676890ed347e27f25fe7cdd3a283af8b78 | d71884281ed47f0f16aae5ad562f6b2ce5b24018 | /movies/models.py | d2075881f17128b2aff0c45614963a16f81f9c43 | [] | no_license | Boyko03/CinemaReservation | 5ac5e404a272e2515b291620a159755df98f2e70 | 5892eeecf1edd22f61c22de7dfbce22c3ab5a2df | refs/heads/master | 2022-07-31T14:54:17.441699 | 2020-05-18T16:30:08 | 2020-05-18T16:30:08 | 261,232,968 | 0 | 0 | null | 2020-05-13T16:20:35 | 2020-05-04T16:08:10 | Python | UTF-8 | Python | false | false | 325 | py | from sqlalchemy import Column, Integer, String, Float
from db import Base
class Movies(Base):
__tablename__ = "Movies"
id = Column(Integer, primary_key=True)
name = Column(String)
rating = Column(Float)
def __str__(self):
return "[ {} ] - {} - {}".format(Movies.id, Movies.name, Movies.rat... | [
"krastanova98@gmail.com"
] | krastanova98@gmail.com |
98125cf0dcf28667282bed9339013daf93de5a2c | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/64/usersdata/161/30070/submittedfiles/atm.py | a4945e6d1dbd957e26b68dd8e72ebecc61734ea0 | [] | 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 | 1,119 | py | # -*- coding: utf-8 -*-
from __future__ import division
import math
#COMECE SEU CODIGO AQUI
valor=int(input('Informe o valor em dinheiro: '))
if (valor%20)==0:
print(valor//20)
print('%d'%0)
print('%d'%0)
print('%d'%0)
print('%d'%0)
if (valor%20)!=0 and (valor%10==0):
print(v... | [
"rafael.mota@ufca.edu.br"
] | rafael.mota@ufca.edu.br |
8d1672c74d7f7273373662eb84061813c809a934 | b6567dce0fc91b8aec053e5bb999f2fa0b93e09c | /reparacao/calc_rules.py | 51ccacb22872533eb15a2fde92212ef2bbae87a4 | [] | no_license | gates17/repairShopBE | 5ceef9ab2239662ddeb72c49b230ec1eb88957e4 | 15ae1cdf4b943f13b8f343f27407c7e26f972406 | refs/heads/master | 2020-03-29T00:39:16.108867 | 2019-02-03T22:48:14 | 2019-02-03T22:48:14 | 149,349,443 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 732 | py | from decimal import Decimal
def calc_total(rep):
tax = float(rep['tax'])
tax = Decimal(tax)
total_to_pay = Decimal(rep["price"]) * int(rep["units"]) * int(rep["quantity"])
if rep["discount"] and Decimal(rep["discount"]) != Decimal(0):
total_to_pay = total_to_pay * Decimal((100 - Decimal(rep["d... | [
"alexandre.lecom@gmail.com"
] | alexandre.lecom@gmail.com |
bc240fd6f86c1db725b7e6bf82f96c38f4ab8c96 | 3cef8c7f23950a88cd0c20e2f678432aab18378a | /python_exercise/ex_036.py | 35642ea7c79d43513bbe40d839b16ced43006dec | [] | no_license | sunjoopark/python-algorithm | 577be9a085956305397382f8cda44c06c71464ae | 7ce543c261059116ef2a61abcaede2d7955fa4f2 | refs/heads/master | 2020-03-31T17:42:28.636092 | 2018-10-10T14:03:32 | 2018-10-10T14:03:32 | 152,431,788 | 2 | 1 | null | 2019-01-21T04:33:22 | 2018-10-10T13:53:32 | Python | UTF-8 | Python | false | false | 489 | py | cnt = 0
checked = [[[0 for i in range(21)] for j in range(21)] for k in range(21)]
def solve(n, a, b, c):
global cnt
if a + b + c == n :
if a <= b and b <= c and a + b > c and checked[a][b][c] == 0:
cnt = cnt + 1
checked[a][b][c] = 1
return
solve(n, a + 1, b, c)
s... | [
"iyeo@colubrismx.priv"
] | iyeo@colubrismx.priv |
291b35b66d83c24702b346d9db3fc6d1cd80d4de | e21837ee462fb31a088bd903ecdbb96631020d0a | /Arcade/Intro/Rains of reason/variableName.py | 5ede1dc9bc1864e2ee3c1695fd7d3ee1e9b6c4a0 | [] | no_license | delta94/Code_signal- | 7965ee96a858425c65c7a51a47833d80c8e6d8d3 | 1383a528b4353b7b8db4a6634ea0caa2b5895f9d | refs/heads/master | 2020-07-31T05:38:22.158742 | 2019-04-12T18:46:16 | 2019-04-12T18:46:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 663 | py | """"
Correct variable names consist only of English letters, digits and underscores and they can't start with a digit.
Check if the given string is a correct variable name.
Example
For name = "var_1__Int", the output should be
variableName(name) = true;
For name = "qq-q", the output should be
variableName(name) = fa... | [
"noreply@github.com"
] | delta94.noreply@github.com |
a4af59c14926be97205727c0741b5416537d37cc | c3ad65eb01dd1a51fdc918ee088f2f763d467740 | /pythonCgi/pattern_handler.cgi.beta | 76242ddf57f3fb897b0bafc0aa6f3f8acf6415a0 | [] | no_license | pking74/Dumpling | 550b417fa1f02b202cb2c39e303149f8795de9cb | 64ea5a72f7679fcb03ee9541a07ace2b73045cb1 | refs/heads/master | 2021-01-18T12:17:12.548337 | 2015-09-15T14:12:11 | 2015-09-15T14:12:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,374 | beta | #!/usr/bin/python
import cgi
import json
category = ['used', 'designed', 'equivalent',u'\u539f']
def main():
form = cgi.FieldStorage()
drop_str = form.getvalue('drop_str').lower()
all = []
for cat in category:
if cat == u'\u539f':
fh = open('./category_data/chn','r')
else:
fh = open(... | [
"jiezhou0731@gmail.com"
] | jiezhou0731@gmail.com |
8096fb7e71797b826c3e0a8c6051d98dbdf27df1 | 921ee6a3c41dd43ffd4f5099bd5526d008e1a768 | /leetcode/027_RemoveElement.py | b81d379a8348664181291537c721cd648b5c49a2 | [] | no_license | dionysus/coding_challenge | 12f70eb7e5065375e156669d89e5a727345dbbef | e6ba73b70cf5d1dc66e464376bf72699415b76ec | refs/heads/master | 2023-07-13T13:09:43.523606 | 2021-08-18T23:52:54 | 2021-08-18T23:52:54 | 297,789,968 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 757 | py | from typing import List
def removeElement(nums: List[int], val: int) -> int:
"""
Given an array nums and a value val, remove all instances of that value
in-place and return the new length.
>>> nums = [3,2,2,3]
>>> val = 3
>>> removeElement(nums, val)
2
>>> nums[0]
2
>>> nums[1... | [
"dionysus.cho@gmail.com"
] | dionysus.cho@gmail.com |
adad125739cb72daf13347575f77b4e909d2ca3d | d3efc82dfa61fb82e47c82d52c838b38b076084c | /Autocase_Result/SJQX/YW_GPMM_QXJY_012.py | bf747396d21241b8715864d0b42b8e55beae4aac | [] | no_license | nantongzyg/xtp_test | 58ce9f328f62a3ea5904e6ed907a169ef2df9258 | ca9ab5cee03d7a2f457a95fb0f4762013caa5f9f | refs/heads/master | 2022-11-30T08:57:45.345460 | 2020-07-30T01:43:30 | 2020-07-30T01:43:30 | 280,388,441 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,080 | py | #!/usr/bin/python
# -*- encoding: utf-8 -*-
import sys
sys.path.append("/home/yhl2/workspace/xtp_test/xtp/api")
from xtp_test_case import *
sys.path.append("/home/yhl2/workspace/xtp_test/service")
from ServiceConfig import *
from mainService import *
from QueryStkPriceQty import *
from log import *
sys.path.append("/h... | [
"418033945@qq.com"
] | 418033945@qq.com |
de9b1c33c01487e3fdabe86c0976cdb1dc6dbdc7 | 5e46a4506e002db6d62e4a6ab38c7af1fa5c0eb9 | /hw1/code/9/code9.py | c55ba4a7a2877979d6f9ff8f16b1009c27d8ba6c | [] | no_license | king1224/Cryptography-and-Network-Security | 050ff51033290674f301d87a8ec0d8db18261f4a | f51b01b65a48f3a7e0d743d2d3cf2a68c1c18f52 | refs/heads/master | 2020-05-05T10:14:01.216079 | 2019-04-07T13:24:18 | 2019-04-07T13:24:18 | 178,863,981 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,575 | py | from random import randint
import gmpy2
p = 28661294800114069007768236017771012251607018576093986823286814149509513675452275635042638987354048629725185006983949952108837417118101024196427874059746112373146674688108102191658628381225899560628677933856157056627887468689106995559937935463599189450455206845179774222254667... | [
"a0987856762@gmail.com"
] | a0987856762@gmail.com |
9eae0a8d2e1e53dcc804f3cf5e9c20a9c9178eb4 | 2c2cfd8cf631bb2026b085a7491a1f9208d21b22 | /Binary Search/Implementation.py | 626f85aed2dae027a935504889097f8162fb570b | [] | no_license | Dragonriser/DSA_Practice | 58ec3dc9744d6cac8290eaa5df21674dabc1ca15 | 785d519820a729def5a0be3e574001e32badca71 | refs/heads/master | 2023-02-25T14:33:40.766968 | 2021-01-22T17:00:12 | 2021-01-22T17:00:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 626 | py | #Basic implementation of the Binary Search algorithm. Finding rank / position of a number in a given sorted (ascending / descending) array.
def findRank(x, arr):
low = 0
high = len(arr)
while low <= high:
mid = (low + high) // 2
if arr[mid] == x:
return (mid + 1)
elif ar... | [
"noreply@github.com"
] | Dragonriser.noreply@github.com |
478ae66c65d2cff2220c211635de5552950932aa | 6f69eee0892b761b666fdd20bab4ca7adec7d01f | /google_foobar/Lib/site-packages/poetry/core/semver/__init__.py | 2cff22d6e34d3dec6026fac5578a54dd13132c6b | [] | no_license | amane-toda/google_foobar | de7de5623f3ec1d45477b4971515a4b910dac043 | 6fad67620f49125539784740fb646aed412c7dea | refs/heads/main | 2023-08-25T14:00:43.827537 | 2021-10-31T15:36:37 | 2021-10-31T15:36:37 | 414,150,017 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,422 | py | import re
from typing import Union
from .empty_constraint import EmptyConstraint
from .exceptions import ParseConstraintError
from .patterns import BASIC_CONSTRAINT
from .patterns import CARET_CONSTRAINT
from .patterns import TILDE_CONSTRAINT
from .patterns import TILDE_PEP440_CONSTRAINT
from .patterns import X_CONST... | [
"toda.amane@gmail.com"
] | toda.amane@gmail.com |
c66bb61f9ca6339e9e882273034b25d7c9057ec9 | 4dc0e2947f23873a24e6c14ff2cc830be5eced34 | /Interpreters/F1WAE/JITRPparser.py | 93031b73cdc52e71d9cc42cc50c098f1ecbcde18 | [] | no_license | leodh/RPython-internship | ea2aededfd0291225b454d329e7be1d6c53fe46a | 7a797bb938429f9bf91c8286c3dd82af2e2af73a | refs/heads/master | 2021-01-21T10:13:11.345695 | 2012-09-03T23:38:18 | 2012-09-03T23:38:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,268 | py | import RPtreeClass
# Build associativity of braces
# To optmisize: calculate size of stack and dic beforehand
def BuildAssociativity(fileToUse):
""" Build a associative table of braces. """
bracketMap = {}
leftstack = []
pc = 0
for char in fileToUse:
if char == '(' or char == '{':
... | [
"leonard.de.haro@ens.fr"
] | leonard.de.haro@ens.fr |
f2e1d4fca648a683465ab786834d9b24a18d50d0 | b5bc72861644c274b75e42374201ea8cdb84c1a2 | /class_examples/class_destryo.py | dce888b556029231c26bd08cb702aa1c7650dbb8 | [] | no_license | Aadhya-Solution/PythonExample | 737c3ddc9ad5e3d0cde24ac9f366ce2de2fa6cfe | 34bc04570182130ebc13b6c99997c81834ad5f53 | refs/heads/master | 2022-12-18T09:54:30.857011 | 2020-08-24T13:53:59 | 2020-08-24T13:53:59 | 288,183,879 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 411 | py | #!/usr/bin/python
class Point:
def __init__( self, x=0, y=0):
self.x = x
self.y = y
def __del__(self):
class_name = self.__class__.__name__
print class_name, "destroyed"
def __str__(self):
return "This is end"
pt1 = Point()
pt2 = pt1
pt3 = pt1
print id(pt1), i... | [
"shashikant.pattar@gmail.com"
] | shashikant.pattar@gmail.com |
a2132f2c3e2ef9a784cab0051fff83ebff6eaff0 | 46f4b4e720a83e1fbb81f8b218af4e0b92548ae3 | /jsontest.py | c26558a4d7410e93c731e0cc5bc8de2da6f71880 | [] | no_license | Dhanushroyal123/filehandling | 14062d610a6a3c561eefb753cd14af0227a0add4 | ab748ad6ecaa8e562625815e96c6882586114c48 | refs/heads/master | 2023-06-03T01:13:52.503502 | 2021-06-23T03:54:00 | 2021-06-23T03:54:00 | 379,472,023 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 232 | py | # loads json file in to the dictionary
import json
with open('data.json') as f:
data = json.load(f)
for i in data.keys():
for j in range(len(data[i])):
print(data[i][j])
for i in data['emp_details']:
print(i)
| [
"dhanushroyal516@gmail"
] | dhanushroyal516@gmail |
1bb87fb09710dcb031228250e4df9f655c33959e | 7f8ab8ed76218fb55a2d6cf34a83e7e6486ab1dc | /test_gmail.py | 0229dd74dae104d84ad1b9896f44ce6028a3738c | [] | no_license | alabavery/e_dist_3 | 02fbeb6e459c3bc74dfba1e3fe9ea71469ca852d | 2ee0c081a052a0f350138ad5a93300ee8cd45e1b | refs/heads/master | 2021-05-11T11:19:13.939744 | 2018-01-29T03:48:09 | 2018-01-29T03:48:09 | 117,634,189 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 912 | py | import unittest
#python -m unittest -v test_module
class Gmail__get_unread_email_ids(unittest.TestCase):
def setUp(self):
# mock gmail_client.users().messages().list(userId='me',q='is:unread').execute()
pass
class Gmail__get_all_unread(unittest.TestCase):
def test_reply_to_our_email(self):
pass
def t... | [
"averyab0@sewanee.edu"
] | averyab0@sewanee.edu |
588127ec34fa8b08aba7a0862e5a6a19b642d2d0 | 87086df54494cdd42a686413639892ebf4978a3e | /MIT_Vadim Smolyakov_Algorithmic Trading/pairs_trading.py | 1f498af00486976f99d0ff4e83cb1c9174b16312 | [
"MIT"
] | permissive | bopopescu/Machine_Learning_Collections | acbe70d55a2551f98d7a86132608d432c957c369 | e77d81754e77c7acdfec86ec395892400657482e | refs/heads/master | 2022-04-11T01:39:09.848778 | 2019-09-15T15:23:31 | 2019-09-15T15:23:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,150 | py | import numpy as np
import statsmodels.api as sm
import pandas as pd
from zipline.utils import tradingcalendar
import pytz
def initialize(context):
# Quantopian backtester specific variables
set_symbol_lookup_date('2014-01-01')
set_slippage(slippage.VolumeShareSlippage(volume_limit=0.025, price_impact=0.1... | [
"pmiori@gmail.com"
] | pmiori@gmail.com |
73d1365d893dea2f34cb4da1462faccc339e49be | 01e34a5ec95d4d09f092fda2d8686797edb48d57 | /CAUSALMTA/re_weighting/base_model.py | 970766df0fcb5d421aead19d448732bcd2ed743c | [] | no_license | lvchakele/CAUSALMTA | 58d08586f3e9527b1eb523c3664a66f493a9bb6e | 7880da748bc08993b1945c221bea5b39067959b7 | refs/heads/main | 2023-08-29T05:58:21.490999 | 2021-11-07T10:08:43 | 2021-11-07T10:08:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,823 | py | import torch
import torch.nn as nn
class LSTM_Encoder(nn.Module):
def __init__(
self,
input_dim,
hidden_dim,
LSTM_hidden_layer_depth = 1,
dropout_rate = 0.2
):
super(LSTM_Encoder, self).__init__()
self.model = nn.LSTM(
input_size = input_dim,
... | [
"noreply@github.com"
] | lvchakele.noreply@github.com |
fbf4923b56f955382583ca609f34c7a4888907e0 | 041d5ffe538bd2ecc29defa58226287ebac487dd | /listOverlap.py | f65ccc5904a35a94eea5920b1c062398a24dad0e | [] | no_license | RobertBedrosian/pythonFiles | a2a34b748e5e8f95ff229bc6fd64fdcd79132651 | 1f68c90c137cf9ad4b48a6c296d5ebc4a247a424 | refs/heads/master | 2021-05-06T18:24:34.190848 | 2017-11-25T07:25:57 | 2017-11-25T07:25:57 | 111,913,872 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 425 | py | import random
def makelists(random_int):
numList=[]
for count in range(random_int):
numList.append(random.randint(1,100))
return numList
def main():
a=random.randint(1,51)
print(a)
actualA=makelists(a)
print(actualA)
a=random.randint(1,51)
print(a)
actualB=makelists(a)
print(actualB)
intersection=[]
fo... | [
"chrisx32@gmail.com"
] | chrisx32@gmail.com |
e3b261b30ed261b305318a7466abb9199f23d58f | 386e14d7be483a054e003aa9aea7a3506815f17e | /venv/bin/easy_install-3.5 | 8c3fe94cf288facd01bc4866da01461b332f008b | [] | no_license | freetoyer/djangoshop | 20fa4734b4ba9818ddd0db79e4c9fc97f502ba5a | 7d523ea82bba27f208028707d4757aeedf61a118 | refs/heads/master | 2020-06-19T06:51:22.512149 | 2019-08-14T18:20:52 | 2019-08-14T18:20:52 | 196,597,795 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 273 | 5 | #!/home/andrey/django_projects/djangoshop/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from setuptools.command.easy_install import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"andrey_89-89@mail.ru"
] | andrey_89-89@mail.ru |
1f59392af82fe70424df8b1ad20ba8b0d74c9622 | e8e92bbff0c06a8900e43a51feb820bcb91bedc5 | /manage.py | 0e8a43fb0a3e45570ca53ddabb53d50a7a592da1 | [] | no_license | Jidnahn/products-ms | b35a76e831ee24dfabda433e310e4583422ca3ff | 6a0ea5fb07a92284cf2c22ffef6101f78d235f3b | refs/heads/main | 2023-07-05T04:55:53.403784 | 2021-08-20T18:41:20 | 2021-08-20T18:41:20 | 398,348,925 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 671 | py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
"""Run administrative tasks."""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'productsProject.settings')
try:
from django.core.management import execute_from_command_line
exc... | [
"78552981+Jidnahn@users.noreply.github.com"
] | 78552981+Jidnahn@users.noreply.github.com |
9ad89d8be3bee3befeb351601c75c9f1883c03a0 | e344904487c0d7a5fb2a682a8ac7e3e4d8e63f51 | /ex4/ex4.py | 8316d360bcc56bff1f852fe01d7af561b67b60cc | [] | no_license | weeshree/ML-AndrewNg | e2fee8b8421a84666f2946bd6eda92ee21444a2a | b74b1693acc37e9f87e6307204749c1bdbee10fd | refs/heads/master | 2020-03-23T22:36:57.675448 | 2018-08-01T18:08:02 | 2018-08-01T18:08:02 | 142,185,850 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,779 | py | # -*- coding: utf-8 -*-
"""
Created on Sat Jul 21 13:14:53 2018
@author: weesh
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy.io import loadmat
from scipy.optimize import minimize
#bpcount = 0;
def wrap(Theta1, Theta2):
''' Linearizes Theta1, Theta2 into single vector '''
... | [
"weeshree@gmail.com"
] | weeshree@gmail.com |
6b50df7aaef6f9d9ed053aa0588a3097045151c2 | 09510bcf4df1fc89bdcf4e95921b90d2bad55703 | /obspyTaup.py | 09bd6532b510e4820c2bd8169da1d0af0ac2f93a | [] | no_license | mprocha/scripts | 075c338d02ae12243aa5bb746e9285498ab77a01 | 5654ddfd86e7578b073c05c91042518819fe44b9 | refs/heads/master | 2021-01-22T13:46:54.590555 | 2016-02-08T15:16:55 | 2016-02-08T15:16:55 | 18,016,459 | 2 | 2 | null | null | null | null | UTF-8 | Python | false | false | 208 | py | #!/usr/bin/python
from obspy.taup.taup import getTravelTimes
tt = getTravelTimes(delta=52.474, depth=611.0, model='ak135')
lentt=len(tt)
for i in range(0,lentt):
print(tt[i])
# print(tt[i]['time'])
| [
"marcelorocha.unb@gmail.com"
] | marcelorocha.unb@gmail.com |
2d444e193746f4b9d9f393a61e3faffc1f20c2c4 | a433cbe30591a986e8fb7287a251198e48e17a3f | /mnist.py | f48f2f8da5e8612ba5f98a88c012c08568da8d86 | [] | no_license | alilliam/multi_gpu_distribute | 578b63878c6b19e834c3bc6c3f77f27c066d8ad5 | 2d7896b961e870d480c08b6d299f51b48bbe9b9a | refs/heads/master | 2022-11-04T21:23:35.344049 | 2020-07-30T15:04:39 | 2020-07-30T15:04:39 | 283,215,674 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,447 | py | #The file is part of pytorh example of imagenet.
import argparse
import os
import random
import shutil
import time
import warnings
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.distributed as dist
import torch.optim
import torch.multiprocessing as mp
imp... | [
"448635573@qq.com"
] | 448635573@qq.com |
7bde7a7d800ff5f29bfbaa829a108cb47204af71 | d1e8f4be036e1868633b24c552a643e6ced39081 | /tartist/data/rflow/configs.py | c7d39d49acfe9806be35438782ddb0aea2857e07 | [
"MIT"
] | permissive | ml-lab/TensorArtist | 8c6c806ca34cf25bda787dff46811b531a137bc2 | cbbe4055657c4c4a648c6924eed4c37cfbbe85a7 | refs/heads/master | 2021-01-22T02:13:25.025501 | 2017-05-20T08:07:49 | 2017-05-20T08:07:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,184 | py | # -*- coding:utf8 -*-
# File : configs.py
# Author : Jiayuan Mao
# Email : maojiayuan@gmail.com
# Date : 2/28/17
#
# This file is part of TensorArtist
NS_CTL_PROTOCAL = 'tcp'
NS_CTL_HOST = '*'
NS_CTL_PORT = '43521'
NS_HEARTBEAT_INTERVAL = 3
NS_CLEANUP_WAIT = 10
CTL_CTL_SND_COUNTDOWN = 5
CTL_CTL_HWM = 5
CTL_DAT... | [
"maojiayuan@gmail.com"
] | maojiayuan@gmail.com |
8366b996ec4f750f41b5485dbf1e3b841d5df8e3 | 7b012d0b6a6d7894f45c9148612e4946ab75d746 | /src/sentry/snmp_handler.py | 67648931e78ed0769c5a4af40223bee1556889d4 | [] | no_license | ksaper/sentry_pdu | 5fff5a7e26686b402625d4302e9dcf98956e3c5f | 346555f0600726c2a55aad035648a13f786f7c18 | refs/heads/master | 2021-10-15T19:32:24.547829 | 2018-02-08T00:00:45 | 2018-02-08T00:00:45 | 103,969,923 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,049 | py | import os
from cloudshell.shell.core.context_utils import get_attribute_by_name
from cloudshell.snmp.quali_snmp import QualiSnmp
from cloudshell.snmp.snmp_parameters import SNMPV3Parameters, SNMPV2WriteParameters, SNMPV2ReadParameters
from pysnmp.smi.rfc1902 import ObjectType
from log_helper import LogHelper
from data... | [
"kimo.s@qualisystems.com"
] | kimo.s@qualisystems.com |
31f11bd5af7be8e6f6f866746a0bc3861a325095 | ee7350af73f18b35b832cef5f2eb5be8beacfe23 | /src/logger.py | 2c0b778404a5cce1710699c711d203f1b48dc8ee | [] | no_license | alexandr7035/vk-lftable | 6cce830d965e3be9c4821a15413173fe1b21162c | ce15c325e0e5534d2b3eb7ef9ea7b08233353ccd | refs/heads/master | 2023-05-14T16:47:05.428477 | 2022-11-06T15:14:55 | 2022-11-06T15:14:55 | 179,868,806 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 652 | py | import os
import logging
from src.static import log_dir, log_file
# Don't run if can't create logging dir
# Nothing will work without logging
if not os.path.exists(log_dir):
try:
os.mkdir(log_dir)
except Exception:
print("CRITICAL ERROR: can't create log directory '" + log_dir + "'. Exit")
... | [
"alexandr7035.adm@gmail.com"
] | alexandr7035.adm@gmail.com |
6741004fa36fcd3910d7d35422f5b7222fb73074 | 9f8eb9b80fb64fa00e64506cf747c5e0ff3c7b4a | /src/model/Data_Sources.py | 60ba4b396ed7cb4ced38faa9228c6ad65320d9a4 | [] | no_license | udianand/CreditSuisseDemo | 12c92a1dfcdcf9f7bcc36b5139abba2cdff85cd0 | d1dc63b67fe181b8720cbcf08aab732dbf180358 | refs/heads/master | 2020-05-07T11:20:33.529586 | 2019-11-09T23:59:13 | 2019-11-09T23:59:13 | 180,457,636 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,970 | py | import csv
import json
import sys
import csv
import re
import os
import string
from textblob import TextBlob
from tweepy import OAuthHandler
from tweepy import API
from tweepy import Cursor
from datetime import datetime, date, time, timedelta
from collections import Counter
from simple_salesforce import Salesforce
cl... | [
"uditanand@ymail.com"
] | uditanand@ymail.com |
e7b4590b7a59bb17f004f3ac0f95f6b36aca1b32 | a6e4a6f0a73d24a6ba957277899adbd9b84bd594 | /sdk/python/pulumi_azure_native/media/v20180330preview/get_job.py | 7081ab36e5fa9f8008edc6e909cf945868dead86 | [
"BSD-3-Clause",
"Apache-2.0"
] | permissive | MisinformedDNA/pulumi-azure-native | 9cbd75306e9c8f92abc25be3f73c113cb93865e9 | de974fd984f7e98649951dbe80b4fc0603d03356 | refs/heads/master | 2023-03-24T22:02:03.842935 | 2021-03-08T21:16:19 | 2021-03-08T21:16:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,491 | py | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... | [
"noreply@github.com"
] | MisinformedDNA.noreply@github.com |
086838af8d465cf4bf83f4c8add16eebae10e673 | 03651baa50f617c1915c2e0338a02a0c081bcadf | /rbm_generate.py | d31a7c7d858b42f1ffc042c0144678b9d5e07915 | [] | no_license | jxihong/music_generator | 5a056a563314565c6c66645af76f337b0e073e40 | 37219fa4764ea7a778c72d7145f598548c035b3d | refs/heads/master | 2020-12-30T16:02:49.931953 | 2017-06-10T06:17:42 | 2017-06-10T06:17:42 | 90,955,635 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,533 | py | from dbn import *
from midi_parser import *
import glob
def get_songs(path):
files = glob.glob('{}/*.mid*'.format(path))
songs = []
for f in files:
try:
song = np.array(midiToStatematrix(f))
if np.array(song).shape[0] > 50:
songs.append(song)
except:... | [
"jxihong@gmail.com"
] | jxihong@gmail.com |
cc70a3e5655aa2cbbfd7065fa7a376a4e758a112 | 33a6696efdaf3f91756c6a4db61c9fc376d55086 | /main.py | 2f033dfd9a3eabe4408f6b3251b978037f662a7e | [] | no_license | AsadMadaminov/issiqnonbot | 67844abb70fe8a1c86f38955785f3b64db076ed4 | 86050670287afe5e9131a0eb14c60d8dcb2077ba | refs/heads/master | 2023-03-14T09:16:54.537567 | 2021-03-08T11:41:08 | 2021-03-08T11:41:08 | 344,433,240 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 29,626 | py | import telebot
from telebot import types
import mysql.connector
mydb = mysql.connector.connect(
host="localhost",
user="root",
password="",
database="issiqnonbot"
)
mycursor = mydb.cursor()
# sql = "INSERT INTO test (chat_id) VALUES (%s)"
# sql1 = "INSERT INTO test (chat_id) VALUES (%s)"
# sql2 = "... | [
"madaminovasadulloh2002@gmail.com"
] | madaminovasadulloh2002@gmail.com |
6f28587f978afcbd3659af670f15dc2764b8de81 | 4c3e3dd2d1976121ebcae159ea772918bc811c16 | /rnn_model.py | 68caf5c06b3971946bc0f7b2746567466e3a4032 | [] | no_license | MaxLost/rnn-character-classification | 79b778d11f617f541649e9e4229f11a180cde972 | 12752c013f18a19d0e3e565307a1f1015232bc51 | refs/heads/main | 2023-09-03T00:56:50.307036 | 2021-11-17T18:17:24 | 2021-11-17T18:17:24 | 420,234,826 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 944 | py | import torch
import torch.nn as nn
class RNN(nn.Module):
def __init__(self, input_size, hidden_size, output_size):
super(RNN, self).__init__()
self.hidden_size = hidden_size
self.to_hidden_layer = nn.Sequential(
nn.Linear(input_size + hidden_size, hidden_size*2),
... | [
"stepmax14@gmail.com"
] | stepmax14@gmail.com |
e44d7dc167483d94d872f514bf14c924d8e4353d | bc82eff404b7842336bcb7991b8ba70e3961d624 | /movie_trailer/main.py | ac62b0571eb6cc4b10c8ce062712fef724729979 | [] | no_license | HassanTC/udacity-nanodegree-projects | fcfb4542aa2d7a2fd536b39829eb8269fa63bf11 | 5af157bd2b82eabab9bc3644cc5294a46bad8173 | refs/heads/master | 2021-05-04T23:49:06.034275 | 2018-04-14T17:52:39 | 2018-04-14T17:52:39 | 119,426,673 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,740 | py | import movie
import fresh_tomatoes
# Shawshank movie: movie title, poster image and movie trailer
shawshank = movie.Movie(
"Shawshank Redemption",
"https://upload.wikimedia.org/wikipedia/en/8/81/ShawshankRedemptionMoviePoster.jpg", # NOQA
"https://www.youtube.com/watch?v=6hB3S9bIaco")
# forest gump movie... | [
"hassan.mahmoud1@outlook.com"
] | hassan.mahmoud1@outlook.com |
f4f79fde3c1ab3b41556f659bd750656efb2e315 | f69b90471efabb97c04c0671cea45de855f222a5 | /Ethereum/env/bin/easy_install | 3fb98970e063210594b6e51a7a00629af4050afc | [] | no_license | victomteng1997/SENA_project_Ethereum | b94324844f9c797a4aaa94790dbdbdfb376ff341 | 382813008a2f95c527ffe72b868340dd384635e7 | refs/heads/master | 2021-01-07T20:36:23.004970 | 2020-03-04T08:19:34 | 2020-03-04T08:19:34 | 241,813,331 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 269 | #!/Users/mark/Documents/lab/flaskintro/env/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from setuptools.command.easy_install import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"deng_gelei@i2r.a-star.edu.sg"
] | deng_gelei@i2r.a-star.edu.sg | |
18376ea574df33c2b0c6b1a04c1202daafe49dba | ef8f9777be4beff936b64af8df5b79f840d6086a | /gym_miniworld/miniworld.py | 62ca2a5e9a99cf566836e597be6728ecbcbe0179 | [
"MIT"
] | permissive | benlansdell/gym-miniworld | 261d97a108b7cdef6982207a4f126b840404b1e2 | a97a244489f516e5d84f8648196c33a9d372788b | refs/heads/master | 2020-04-05T01:55:03.633823 | 2018-11-06T21:37:34 | 2018-11-06T21:37:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 34,710 | py | import math
from enum import IntEnum
import numpy as np
import gym
from gym import spaces
from .random import *
from .opengl import *
from .objmesh import *
from .entity import *
from .math import *
# Blue sky horizon color
BLUE_SKY_COLOR = np.array([0.45, 0.82, 1])
# Map of color names to RGB values
COLORS = {
'... | [
"maximechevalierb@gmail.com"
] | maximechevalierb@gmail.com |
6530542905bdeb0595e2cb3c50e809ca462c892b | a08c34701dc5641eb0ca275b4ff53120a0cffd59 | /income_expense_managment/urls.py | 4216d06cb0ca4e0681e79f387088c8504c243a49 | [] | no_license | sunitayadav14/DailyIncomeExpense | b6ff288adf61c4255b6ed9086343a00392fbc2ae | 0f929e82c97a8c42dd8bc7f01f2ceda84621fe59 | refs/heads/master | 2023-06-29T02:22:22.044576 | 2021-08-07T09:21:08 | 2021-08-07T09:21:08 | 393,636,852 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 605 | py |
from django.contrib import admin
from django.urls import path,include
from account.views import home
urlpatterns = [
path('',home),
path('admin/', admin.site.urls),
path('acc-',include(('account.urls','account'),namespace='account')),
path('inc-',include(('income.urls','income'),namespace='income')),
... | [
"karishmayadav482@gmail.com"
] | karishmayadav482@gmail.com |
22502e12c168c587954c21469fd222c3256b5177 | 342b62ec92427f178aaf9d08674825a163c13d91 | /the_k_strongest_values_in_an_array_5429.py | 5f83af10b3fb1a4901d6b12c5dbb326f6bcf7351 | [] | no_license | mmkhaque/LeetCodeWeeklyChallenge | 1b2f8cb27d275c271c0e37599591af6e14110ea5 | 5d3d361341a56df72aabf32c2acf5d73b5a46eb3 | refs/heads/master | 2023-07-15T18:47:41.452250 | 2021-08-22T04:08:13 | 2021-08-22T04:08:13 | 254,993,439 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 851 | py | class Solution:
def getStrongest(self, arr: List[int], k: int) -> List[int]:
def calculate_median(arr):
n = len(arr)
med = (n-1)/ 2
return arr[int(med)]
if len(arr) == 0:
return []
if k == 0:
... | [
"noreply@github.com"
] | mmkhaque.noreply@github.com |
ad7fff59ff1d5880ad197a6205640018c46b96ba | e6dd6badd9073f7411704f97cd53c4c71595b55d | /python_cookbook/2-11Strip.py | d2e119a7cd109a3e4a6d3b9ae9eb8e6860910075 | [] | no_license | binkesi/leetcode_easy | 8f753fe3306ed5e678146469bbbf35f3e1bb741c | 79878064daa7a7f1505f895287ee07f7a081dc6a | refs/heads/master | 2020-12-10T05:46:57.134697 | 2020-05-25T03:00:03 | 2020-05-25T03:00:03 | 233,516,663 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 179 | py | import re
text = " ------------hello========="
if __name__ == "__main__":
aaa = text.strip()
print(aaa)
print(aaa.lstrip('-'))
print(aaa.rstrip('=')) | [
"sjtusgn@163.com"
] | sjtusgn@163.com |
4ad57f1de789251894e5dfc259528c30fb29f79b | 0e6333be66ae534506cad1f8d32712d303d554a8 | /kornia/color/xyz.py | 03e2c28e30e5db88d97fe26a7ddb896ed069dfd1 | [
"Apache-2.0"
] | permissive | jakubLangr/kornia | beaf00ad7662b65cd7077e7cfe06b48e089bbd4a | 9a9a056bfb7ffa45395871b4858a8a041c926d99 | refs/heads/master | 2021-01-08T18:22:54.442658 | 2020-02-21T17:03:29 | 2020-02-21T17:03:29 | 242,106,066 | 1 | 0 | NOASSERTION | 2020-02-21T09:49:02 | 2020-02-21T09:49:02 | null | UTF-8 | Python | false | false | 3,667 | py | from typing import Union
import torch
import torch.nn as nn
class RgbToXyz(nn.Module):
r"""Converts an image from RGB to XYZ
The image data is assumed to be in the range of (0, 1).
args:
image (torch.Tensor): RGB image to be converted to XYZ.
returns:
torch.Tensor: XYZ version of th... | [
"noreply@github.com"
] | jakubLangr.noreply@github.com |
50b034b2686c897992499134f2ca831df58ae14a | a6f0a92ba1b039fbef510d5da031e10dee6f4478 | /linearRegression/logoPrice.py | 0c82d573c57cc1f5c1b65f03b1229b65ec913577 | [] | no_license | niuyuanyuanna/machine-learning | bf3383257ce0aedd5165fe6dfedab21e3e67cef4 | f718d447b709002bbda572946157d4df45c65197 | refs/heads/master | 2021-04-26T23:48:13.934690 | 2018-03-15T14:03:39 | 2018-03-15T14:03:39 | 123,859,750 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,560 | py | from bs4 import BeautifulSoup
import numpy as np
import random
def loadData(inFile, yr, numPce, origPrc):
retX = []
retY = []
# 打开并读取HTML文件
with open(inFile, encoding='utf-8') as f:
html = f.read()
soup = BeautifulSoup(html)
i = 1
# 根据HTML页面结构进行解析
currentRow = soup.find_all('ta... | [
"liuyuan_tx@163.com"
] | liuyuan_tx@163.com |
ecec53a7f0397c1947cdb0e61b81225ee3dbb404 | 2a7c9abbd797edf2288aeaf224d11c1ece38a0a9 | /tripod/app/views.py | 7f80bb5b733b64a1cb3b049bbed16bcc7de1b943 | [] | no_license | jeffchy/Tripod | 32ab08ec70f4e3c5c5b51fda42c8f658b2c71d63 | c113f662d82b046b138789c0760ba388a20b86aa | refs/heads/master | 2023-03-07T05:04:58.682012 | 2021-02-20T07:25:50 | 2021-02-20T07:25:50 | 327,805,615 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,709 | py | from django.http import HttpResponse, HttpResponseRedirect
from .models import Experiment, Config, ExperimentForm, ConfigForm
from django.shortcuts import render, get_object_or_404
from .core.default import Nodes, GPUs
from .core.checker import check_config_settings, check_experiment_settings
def index(request):
e... | [
"jiangchy@shanghaitech.edu.cn"
] | jiangchy@shanghaitech.edu.cn |
48d17f3977310c6c12f3c2e38658ddf41ad6528a | e29c79b27cee203e02a9093f1dc1c2abf558637b | /log.py | 3d814a30174494932380209edca128647819a52c | [] | no_license | bartlomiejfydrych/python-selenium-pop | cbdb7b79e5fa5ee1a4c65aefc83938a3d5546d70 | adcfb127ed1d9805a565871f0c6da02703a8103f | refs/heads/main | 2023-01-29T13:36:27.267504 | 2020-12-12T11:08:38 | 2020-12-12T11:08:38 | 305,737,242 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 420 | py | def log(func):
def wrapper(*args, **kwargs):
print(func.__name__)
return func(*args, **kwargs)
return wrapper
def for_all_methods(decorator):
def decorate(cls):
for attr in cls.__dict__: # there's propably a better way to do this
if callable(getattr(cls, attr)):
... | [
"fydbar@gmail.com"
] | fydbar@gmail.com |
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