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6924a180ef02d2c2fcdab06a4084459706c24ff6 | ed8bfb44c7d8fd2ef3d0d493d39eba6d7b729aec | /decode.py | 05c18d5140f05ddeb6b1977cef37d543fe16147e | [] | no_license | omri123/text_lord | 5cedeb8fb53c69977b21ec25fe77e2d598614d97 | 59f8095784f702891d24c771281c03ec0402e4f0 | refs/heads/master | 2022-04-09T11:39:20.561554 | 2020-03-12T22:05:04 | 2020-03-12T22:05:04 | 243,927,064 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,893 | py | import torchtext
from restorant_dataset import START, END
from model import NoEncoderFConvDecoderModel
from archive.utils import load_checkpoint, vocab_to_dictionary
from restorant_dataset import get_dataset
import os
import pickle
import copy
def gready_decode_single(model: NoEncoderFConvDecoderModel, vocab: torcht... | [
"omri.bloch@mail.huji.ac.il"
] | omri.bloch@mail.huji.ac.il |
c19012af2e5fe52651cc00b9775abc1d3e4e6ea1 | a71d5838e292e2c0c7371f7fc7870c7018820ae1 | /day03/03_pie.py | 71c8ec39a03c52234f30d2660394d2f3d37a995f | [] | no_license | skywalkerqwer/DataScience | be91541c3da383d15ee52d0101d2dbb0289c2fde | 4cfd42f3a9795e295393cdb045852d46e99b6e59 | refs/heads/master | 2020-06-17T11:41:40.113864 | 2019-07-15T09:49:40 | 2019-07-15T09:49:40 | 195,913,553 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 449 | py | """
绘制饼状图
"""
import numpy as np
import matplotlib.pyplot as mp
labels = ['Python', 'JavaScript', 'C++', 'Java', 'PHP']
values = [26, 17, 21, 29, 11]
spaces = [0.05, 0.01, 0.01, 0.01, 0.01]
colors = ['dodgerblue', 'orangered', 'limegreen', 'violet', 'gold']
mp.figure('Pie Chart', facecolor='lightgray')
mp.title('Lang... | [
"15902162780@163.com"
] | 15902162780@163.com |
ebcfe501255bb644caa92394017c550197a10ee4 | d27d98fc322ea3b29b77fdf0a8751bc6a6e4355a | /python/20/ccc20j4.py | 09d8866cfee2b5c41d870b92254d90a5edccd997 | [
"MIT"
] | permissive | sadmanca/ccc-solutions | 9e48279879241b94e746c7ce1c202d66ce5c46f4 | 1ab0d1d7a59eaf0f6b231208a5f42a5eb364caaa | refs/heads/master | 2023-03-05T17:19:18.776037 | 2021-02-17T00:40:30 | 2021-02-17T00:40:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 316 | py | # COMPLETE
t = input()
s = input()
l = len(s)
shifts = set()
shifts.add(s)
for i in range(l-1):
s = s[1:]+s[0]
shifts.add(s)
cyc = False
for string in shifts:
for i in range(0, len(t)-l+1):
if string == t[i:i+l]:
cyc = True
if cyc == True:
print("yes")
else:
print("no") | [
"41028402+Sadman-Hossain@users.noreply.github.com"
] | 41028402+Sadman-Hossain@users.noreply.github.com |
4a24d53b5b6eb6b7db4ed323a7726a5e0b69cd7b | 16cb142fb04798313c43a073cf1e0ddd6f4bf13b | /timing/resources/time.py | 978a0750832068ee69e9c5e493fb89f1c059e468 | [] | no_license | iRhonin/timing | 46d3b080333fe4b169252cdb37f3d3194fc00072 | 91b7d86ba053cf46df6a3edbdf273947d8a37ae3 | refs/heads/master | 2023-04-30T21:02:26.861632 | 2021-05-14T20:16:12 | 2021-05-14T20:16:12 | 279,684,898 | 0 | 0 | null | 2021-05-14T20:16:13 | 2020-07-14T20:19:47 | Python | UTF-8 | Python | false | false | 2,027 | py | from datetime import datetime
import falcon
from sqlalchemy import func
from timing.authorization import Authorization
from timing.models.time import Time, DATETIME_FORMAT
from timing.paginate import Paginate
from timing.schemas.time import TimeInSchema
class TimesResource(object):
@falcon.before(Authorization... | [
"fatahzade@gmail.com"
] | fatahzade@gmail.com |
e33487b216736e6059584d1fa1c040ace6df1cc7 | 5bfbc89974b7cb29e476c5c8e18d6e363019aacf | /Example/sentiment_lstm_regression.py | 83642cf1479c949bec11858edf1decc1c74e671f | [
"MIT"
] | permissive | lagleki/BayesianRNN | 1cec3f39bb4bc41a965d0443f7b01e1fd4186b9a | 0426c503438aa9106c676e8f68e85aa9f16bd05b | refs/heads/master | 2021-09-06T07:27:11.933093 | 2018-02-03T19:56:02 | 2018-02-03T19:56:02 | 120,124,468 | 0 | 0 | null | 2018-02-03T19:55:26 | 2018-02-03T19:55:26 | null | UTF-8 | Python | false | false | 5,025 | py | # Train a Bayesian LSTM on the IMDB sentiment classification task.
# To use the GPU:
# THEANO_FLAGS=mode=FAST_RUN,device=gpu,floatX=float32 python imdb_lstm_regression.py
# To speed up Theano, create a ram disk:
# mount -t tmpfs -o size=512m tmpfs /mnt/ramdisk
# Then add flag THEANO_FLAGS='base_compiledir=/mnt... | [
"yaringal@gmail.com"
] | yaringal@gmail.com |
0847d046a1cea08f4fceb4e24d0e9848c3efd510 | e1bcef91c724a3b89f442079ab51977ce5a6bc2f | /quote/forms.py | 1d803b8df3d24b45e9b8c59cb8586deddbaa426e | [] | no_license | mahdistt/CRM | 48550b1bb8adbd012b254e42edefc69a572a33fc | a1aa33df4ef2e342268f8965d43bf026be61db37 | refs/heads/master | 2023-07-09T05:11:23.497844 | 2021-08-11T18:45:56 | 2021-08-11T18:45:56 | 390,491,640 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 476 | py | from django import forms
from . import models
class QuoteCreateViewForm(forms.ModelForm):
class Meta:
model = models.QuoteItem
fields = (
'quote',
'product',
'price',
'quantity',
'discount',
)
widgets = {
'qua... | [
"80247767+mahdistt@users.noreply.github.com"
] | 80247767+mahdistt@users.noreply.github.com |
268f77595526ce94d83bcd97375dc506662f676b | 309da681f1ce8d119f2e44580ba196094d03bd92 | /project.py | 1dbaa8cec2329e4e1555049d01b2d79a0b6f0710 | [] | no_license | aditya6116/catalog | bd9da4c8f8ec2c95728b66a8914d04e759c7ddb0 | e8247118cde31d92327a8df82f766bb0f218999f | refs/heads/master | 2021-01-21T21:32:36.111228 | 2017-06-20T07:01:09 | 2017-06-20T07:01:09 | 94,858,288 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,369 | py | from flask import Flask, render_template
from flask import request, redirect, jsonify, url_for, flash
from sqlalchemy import create_engine, asc
from sqlalchemy.orm import sessionmaker
from database_setup import Base, Restaurant, MenuItem, User
from flask import session as login_session
import random
import string
f... | [
"gurusharan2@gmail.com"
] | gurusharan2@gmail.com |
ef967c7df544cf14fd81acac69d9aa53ed4449d0 | 9cd4bd2d3c43d14a78c4f72dd2d8c6900aec56c4 | /TabuadaPython.py | 7f386b00ecc7d585dacc937cfee125710246f99e | [] | no_license | paulorod07/Tabuada | 937005686f0a9fb1c5b8a37dc49ae7178477c97f | 14ced3e51ec0ce2c9c7c92bdf6696ce24a956a45 | refs/heads/master | 2020-04-27T16:22:05.703246 | 2019-03-08T06:41:19 | 2019-03-08T06:41:19 | 174,481,856 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 152 | py | print('Bem Vindo a Tabuada!')
numero = int(input('Digite um numero para a tabuada: '))
for n in range(11):
print(numero, 'x', n, '=', numero * n)
| [
"noreply@github.com"
] | paulorod07.noreply@github.com |
442831645ae4c6f34df075f4576fd9a948e313c2 | 649c930c4c5c89b48673b438c8d42f70e6b00cfd | /day 03/作业.py | d60c1b0df8e1db4ae550c6e5524337bfd22e6c18 | [] | no_license | zhangchenghao0617/Learn | a0f1ebb9b6248c83e0c87cb756d19b2243722679 | 32cbaacc697d7e5992e077f368c8c80c5900f96e | refs/heads/master | 2023-01-12T07:20:57.911545 | 2020-10-25T09:40:04 | 2020-10-25T09:40:04 | 306,071,934 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,515 | py | # # 1.有变量name = "aleX leNb" 完成如下操作:
# name = "aleX leNb"
# # - 移除 name 变量对应的值两边的空格,并输出处理结果
# print(name.strip())
# # - 判断 name 变量是否以 "al" 开头,并输出结果
# print(name.startswith('al'))
# # - 判断name变量是否以"Nb"结尾,并输出结果
# print(name.endswith('Nb'))
# # - 将 name 变量对应的值中的 所有的"l" 替换为 "p",并输出结果
# print(name.replace('l','p'))
# # - 将na... | [
"zhangchenghao0617@qq.com"
] | zhangchenghao0617@qq.com |
09f920dba59ee54359a4cf44bf01235cf2d05171 | 122779e414685ac95076f440f2809d314800e510 | /src/tests/integration/test_cli.py | 2f9573fd5a48bf3689f6afadd0a0a6530705bcbd | [
"BSD-2-Clause"
] | permissive | alexseitsinger/package-controller | 3fb7a09d2b965630fe11203f6f5c47e664826c7d | 0ee896986cfa17a96bf9fb6afff35dd97f0b1211 | refs/heads/master | 2022-12-11T18:00:17.922442 | 2019-08-21T02:24:35 | 2019-08-21T02:24:35 | 185,510,280 | 2 | 0 | BSD-2-Clause | 2022-12-08T05:50:25 | 2019-05-08T02:10:23 | Python | UTF-8 | Python | false | false | 238 | py | import pytest
from click.testing import CliRunner
from package_controller.cli import main
def test_add():
pass
def test_build():
pass
def test_commit():
pass
def test_release():
pass
def test_version():
pass
| [
"16756928+alexseitsinger@users.noreply.github.com"
] | 16756928+alexseitsinger@users.noreply.github.com |
2be7b229988ee87da8b2f46796797fd123be5e00 | 20722df255492f591b1a988c7499e1eab6c71a90 | /Ch1-Image_Recognition/stacked_autoencoders_for_mnist_classification.py | b7276e8c60f5905ae6df8947b5ada8ac112426d5 | [] | no_license | solaris33/TensorFlow_Examples | 551f721aa4c97b4735496d5a1aecf742de081fa9 | 122116b268badf27b605d7a3857215474ab99e6a | refs/heads/master | 2020-12-24T19:13:20.622985 | 2018-11-01T12:44:41 | 2018-11-01T12:44:41 | 58,610,121 | 4 | 1 | null | 2016-05-12T05:27:23 | 2016-05-12T05:20:56 | null | UTF-8 | Python | false | false | 6,234 | py | # -*- coding: utf-8 -*-
# MNIST 숫자 분류를 위한 Stacked AutoEncoder 예제
# 절대 임포트 설정
from __future__ import division, print_function, absolute_import
# 필요한 라이브러리들을 임포트
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
# MNIST 데이터를 다운로드 한다.
from tensorflow.examples.tutorials.mnist import input_data... | [
"jinhoyang@snu.ac.kr"
] | jinhoyang@snu.ac.kr |
1e5237044f42dfe836143cd43c09e4bc38b7033a | c12d0e0935aadc52c6ae03d901fcb52e2b8fe4d7 | /task1/solution.py | f3614fd0a3446ed63f3aa00630f3e45ebe2df4f7 | [] | no_license | skeleta/python-retrospective | c19ec29867ea34ff96cd86c7c69fc0e1108d7f1c | e808e007f375fccbbb0ae7082bab0d39b93189fe | refs/heads/master | 2021-01-18T03:14:27.664850 | 2013-04-28T20:18:35 | 2013-04-28T20:18:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 402 | py | SIGNS = ("Козирог", "Водолей", "Риби", "Овен", "Телец", "Близнаци",
"Рак", "Лъв", "Дева", "Везни", "Скорпион", "Стрелец")
RANGES = {1: 19, 2: 18, 3: 20, 4: 20, 5: 20, 6: 20,
7: 21, 8: 22, 9: 22, 10: 22, 11: 21, 12: 21}
def what_is_my_sign(day, month):
return SIGNS[month - 12 - (day <= ... | [
"ivankapukaranov@gmail.com"
] | ivankapukaranov@gmail.com |
0139a90daa7aba09474a438506fda874d445904a | 71df0a69bcfba49c7a5d0bff5fcd314942f10541 | /viewStatsPage.py | 7dc99083a1166f8666a42bbbede0f46c6385f17f | [] | no_license | linzinha/lvlUP | 24afde28362e62e04ef5c41ffcbd4f44fa4c4ad8 | 17fca44c02c92a8a8a25520b794187c19b6c7ada | refs/heads/main | 2023-05-29T12:36:53.635989 | 2021-06-13T13:36:22 | 2021-06-13T13:36:22 | 376,544,097 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,358 | py | #########
# Imports
#########
import json
import time
import tkinter as tk
from tkinter import *
################
# Open JSON File
# ##############
with open('stats.json', 'r') as string:
my_dict = json.load(string)
string.close()
####################
# Global Variables
####################
p0 = my_dict['points']... | [
"noreply@github.com"
] | linzinha.noreply@github.com |
45deb898113df9ae83c65ce0424014c7fb729b1e | 5ee088a8573a305ea30bfc6d083c4ec6a1112d1f | /doule_exit/InitialPedestrian.py | d22aa771df9f3d3e6f99b9247685e1904db665b2 | [] | no_license | Poloma07/CA_Multi_Exits | f176d3c68625e6ab571b08c20229416960931659 | c1736861c81a4328d9344522cc530bda7a8f67a3 | refs/heads/master | 2020-04-18T16:57:45.466170 | 2019-01-13T12:24:39 | 2019-01-13T12:24:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,499 | py | import random
import numpy as np
import Data, Block
import matplotlib.pyplot as plt
def creatPeople():
'''
产生随机行人
:return:行人列表
'''
allBlock = [] # 用于存放格子
allPeople = [] # 用于存放行人
# 将所有格子全部存入列表'
for i in range(1, Data.ROOM_M):
for j in range(1, Data.ROOM_N):
b = Bloc... | [
"1279010287@qq.com"
] | 1279010287@qq.com |
964887bf2513e38eadfe80819f983c5826f676de | 0b9f6534a99ff551f0006df78a24e8af30340580 | /Source/BackupFiles/HDAPI/hdapi/API 문서/python_sample.py | 08a1d2e3fc1c3952637678e603a976500b276f82 | [] | no_license | jayirum/ChartProjSvr | 9bac49865d1e081de0cbd7559d0d2cbdd26279c2 | d69edfcb3ac3698e1bdfcf5862d5e63bb305cb52 | refs/heads/master | 2020-03-24T03:22:18.176911 | 2019-07-05T01:38:03 | 2019-07-05T01:38:03 | 142,416,528 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 130,254 | py | #-*- coding: utf-8 -*-
# Form implementation generated from reading ui file './python_sample.ui'
#
# Created by: PyQt4 UI code generator 4.11.4
#
# WARNING! All changes made in this file will be lost!
# Python version 2.7
from PyQt4 import QtCore, QtGui
#from PyQt4.QAxContainer import *
#from PyQt4.QtCore import *
fr... | [
"jay.bwkim@gmail.com"
] | jay.bwkim@gmail.com |
f15414bf81d05d0860a3345a7f7b0679f6cbba74 | db35cba13f89601467b4bb4553d2b648c18fc3fb | /stores/topshop.py | 8e7c906ff53b33b1ba4e7916231b878688d31d1a | [] | no_license | jitsejan/outfitter | e6d73fcc2ec46c5236207c8bb8e1e72fc8929c38 | 53faab3e30e312bbdbc4ca0154efe35592708a8b | refs/heads/master | 2023-01-02T20:15:12.519289 | 2016-09-15T14:07:00 | 2016-09-15T14:07:00 | 309,139,169 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,113 | py | ################################################################################
# Application: Outfitter
# File: topshop.py
# Goal: topshop.py will retrieve specific information from a
# given Topshop link and save the data to a variable
# Input: url of websit... | [
"jitsejan@gmail.com"
] | jitsejan@gmail.com |
3a319731bfbf4784b70ae3333efef1452e0f0744 | bb0af8077407b27f8c3b787d32bdd9c4b37e977a | /fitmodel_densitysplit/do_fitting/modelfitfullk.py | 82cbe8d7dac400a6d8e1c6ddf94bc83a4de38ec0 | [] | no_license | JulianWack/IfA-SummerStudent-2022 | 94948169acc830da5b2b1bb5d227fb4e782dbe1c | d1c6ebe48e0a527fe6138c73adc35464538e2e04 | refs/heads/main | 2023-04-15T02:51:59.098422 | 2022-09-10T10:52:38 | 2022-09-10T10:52:38 | 508,616,897 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,407 | py | # Fit Kaiser with FoG term over largest possible k range
# Identical to modelfit.py excepet for storing paths and line 94
import numpy as np
import matplotlib.pyplot as plt
from scipy.special import legendre, erf
from datetime import timedelta
import time
from os import mkdir, listdir
import helper_funcs as hf
from as... | [
"jwack@cuillin.roe.ac.uk"
] | jwack@cuillin.roe.ac.uk |
f6cc157fcac65c81a3809080db0f1aac9d4e2f7d | 82f40f23ea87d8ed09974a6ce87418cb7934b14b | /Logistic Regression & MultiLayer Perceptron/Code/logistic_kclass.py | 83abd0da19f525bde30fef8e517fe84551510fd0 | [] | no_license | priyankpshah/DataAnalysis_MachineLearning | 22a69bea1426d3291461177a4ddfd67a9f19741b | 68c7a27a84b341a2a19d7481410536c23750fa24 | refs/heads/master | 2021-06-08T14:51:05.167801 | 2016-12-15T21:37:28 | 2016-12-15T21:37:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,061 | py | from __future__ import division
from sklearn.datasets import load_iris, fetch_mldata
from sklearn.cross_validation import KFold
import numpy as np
def indicator(class_fact, class_val):
ind = []
for label in class_fact:
if label == class_val:
ind.append(1)
else:
ind.appe... | [
"priyank687@gmail.com"
] | priyank687@gmail.com |
49bee32f7d8ddec8715ce98a577f088ab50e9d45 | a961a54e8d466b1fb98aee86d437ed6872e98d18 | /shows/management/commands/get_english_names.py | 403bad44964aea456ad293b48eb19dc7b5d768de | [] | no_license | akaram94/animemelody | 6bcc75e2746def0f3638b0e6acf6cf5b0e2b6f7c | 2adf79f232d06733bbc8af4def3778ea55838efa | refs/heads/master | 2023-08-19T00:19:43.688266 | 2020-07-27T16:24:56 | 2020-07-27T16:24:56 | 268,275,539 | 0 | 0 | null | 2021-09-22T19:08:05 | 2020-05-31T12:29:51 | Python | UTF-8 | Python | false | false | 1,233 | py | from django.core.management.base import BaseCommand, CommandError
from shows.models import Show, Theme
import datetime
import requests
import json
import time
class Command(BaseCommand):
help = '''
Used to import english show names from the Jikan API (rate limit of 2s)
'''
def handle(self, *args, **op... | [
"root@DESKTOP-FIFE14Q.localdomain"
] | root@DESKTOP-FIFE14Q.localdomain |
595635a1e4beaf535e5f7640bd2b7ca17a517b2c | b205909a015abf08dc15133797c465fd58a48352 | /sdes.py | 4d2868d7e9e2d273c541caee44e96f0f1bba4ee5 | [] | no_license | AlexanderFrancoletti/CryptographyHW1 | 2648f5b52053504ac6cbceb7964a596d91c1a4bb | 2d0b728046b91d099c3f6af9996c805db0df566e | refs/heads/master | 2020-03-29T05:20:02.226714 | 2018-09-20T17:02:00 | 2018-09-20T17:02:00 | 149,577,970 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,547 | py | #Define keys initially
IP = [2, 6, 3, 1, 4, 8, 5, 7]
EP = [4, 1, 2, 3, 2, 3, 4, 1]
IP_inverse = [4, 1, 3, 5, 7, 2, 8, 6]
P10 = [3, 5, 2, 7, 4, 10, 1, 9, 8, 6]
P8 = [6, 3, 7, 4, 8, 5, 10, 9]
P4 = [2, 4, 3, 1]
sbox0 = [[1, 0, 3, 2],
[3, 2, 1, 0],
[0, 2, 1, 3],
[3, 1, 3, 2]]
sbox1 = [[0, 1, 2, 3],
... | [
"alexander.francoletti@gmail.com"
] | alexander.francoletti@gmail.com |
0da39b2b6595f0a25f70e3735197ce8c382da45b | c7522a46908dfa0556ed6e2fe584fd7124ee5cdc | /ApplicationUsers/views.py | 80dd9c405729e423ad243becbd6d5c57ca1b5930 | [] | no_license | stheartsachu/Eventlee | 461cf35961a7f294229d6c611e58a09d9f4e1eb5 | 6b67dfc873203f1322c16664923ffe5a760d50ed | refs/heads/master | 2022-11-13T14:48:39.097718 | 2020-06-30T04:54:45 | 2020-06-30T04:54:45 | 276,000,638 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,806 | py | from django.shortcuts import render,HttpResponse,redirect,HttpResponseRedirect
from ApplicationUsers.form import ApplicationuserForm
# Create your views here.
from ApplicationUsers.models import users
def home(request):
return render(request,"index.html")
def Contact(request):
return render(request,"contact.htm... | [
"seartsachu@gmail.com"
] | seartsachu@gmail.com |
7bed90a14fc2ce416d14e56c5bf265e8b646487f | 7d3b096f803d1a47ad71a5c8aab30ba3aa67828c | /chibi_file/__init__.py | fe22184683cfdc5c75ca908282fad7a086a9d2bc | [] | no_license | dem4ply/chibi_file | 462244dac712d88915f2b931c5f0822f6d1fa937 | d27cef794512014b1602486edd0235052b38087a | refs/heads/master | 2020-12-03T05:09:15.825690 | 2017-08-23T09:36:57 | 2017-08-23T09:36:57 | 95,737,905 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,835 | py | import mmap
import os
import shutil
def current_dir():
return os.getcwd()
def inflate_dir( src ):
if '~' in src:
return os.path.expanduser( src )
else:
return os.path.abspath( src )
def is_dir( src ):
return os.path.isdir( src )
def is_file( src ):
return os.path.isfile( src ... | [
"dem4ply@gmail.com"
] | dem4ply@gmail.com |
0019c8ec5dd7461f3fd5921e275c326e9f78ab39 | 66149a32aca9d64f08d3ba111ede8613cd1cfb25 | /11-06-2020_SAMBIT_EMWAVES.py | a99ed74f578c7afa73afd522b853a49bd88672d6 | [
"MIT"
] | permissive | MAVIN-07/EM-WAVES-SAMBIT | ad3180ffe6a278f5ac55fe369832f5639f26d3f3 | c7c72111eed14a2aaa551306811fa1f26ea04f22 | refs/heads/master | 2022-12-11T08:17:21.756078 | 2020-06-17T22:04:04 | 2020-06-17T22:04:04 | 273,086,413 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,778 | py | #CREATED AND MAINTAINED BY: SAMBIT KUMAR MISHRA
#Email-ID: sambitmishra1968@gmail.com
import math
import cmath
import matplotlib.pyplot as plt
import matplotlib.image as img
#========================================================================================================================================... | [
"noreply@github.com"
] | MAVIN-07.noreply@github.com |
e714abb10599586f922ae28ac3e229eafdfbbc3b | 711ca7d1996f3eab0c9f8338fd49c9067274d5e5 | /image_augment-master/test_detect_multi_process.py | 34ce758c0c9c30786eaa30c6bbdf0b7112d8c2c3 | [] | no_license | zj463261929/tools | 408ccdbe93ae00d4825b74d6e37cc2bd77208504 | 47545fbbb6779378ad833a7b84c89cc91848e345 | refs/heads/master | 2020-03-20T13:01:10.970807 | 2019-07-22T02:36:12 | 2019-07-22T02:36:12 | 137,446,532 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,139 | py | #coding=utf-8
import codecs
import random
import cv2, os
import sys #sys是Python内建标准库
sys.path.append(os.getcwd())
from function import *
import function as FUN
import math
import numpy as np
import time
from test_detect_single import img_aug
from multiprocessing import Process
image_dir = "/opt/zhangjing/Detectron/dat... | [
"zhagnjing1@mail.e-u.cn"
] | zhagnjing1@mail.e-u.cn |
b7e89b7513c6151d39dc8adad4fee33e8afcf8f1 | 09cc8367edb92c2f02a0cc1c95a8290ff0f52646 | /ipypublish_plugins/example_new_plugin.py | 2fe177802ec9fd3259ca9ac9ac002ef160f3c1f2 | [
"BSD-3-Clause"
] | permissive | annefou/ipypublish | 7e80153316ab572a348afe26d309c2a9ee0fb52b | 917c7f2e84be006605de1cf8851ec13d1a163b24 | refs/heads/master | 2020-04-13T16:08:59.845707 | 2018-07-30T18:26:12 | 2018-07-30T18:26:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,612 | py | """html in standard nbconvert format, but with
- a table of contents
- toggle buttons for showing/hiding code & output cells
- converts or removes (if no converter) latex tags (like \cite{abc}, \ref{})
"""
from ipypublish.filters.replace_string import replace_string
from ipypublish.html.create_tpl import create_tpl
f... | [
"chrisj_sewell@hotmail.com"
] | chrisj_sewell@hotmail.com |
0153dcd0356625cc5eeb56abefd0fa3a6ed54d56 | 1f0837796a613fcf1788b2361fe4d8d5943bcc47 | /Tarea Nº1/Ejer7.py | 5bd8720ac4dfec14680de5faa08d98c167e2b592 | [] | no_license | LeonardoArroba/Tarea-de-Estructura | 557f47206c007dad6a7ed5ecc8e29f73c1ab895c | d37e9e9fdf1a562c8f5d29c5fee8e836d87a32c9 | refs/heads/main | 2023-06-02T12:36:43.153125 | 2021-06-30T02:53:46 | 2021-06-30T02:53:46 | 381,556,550 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,180 | py | #Determinar la cantidad de dinero que recibirá un trabajador por concepto de las horas extras trabajadas en una empresa,
# sabiendo que cuando las horas de trabajo exceden de 40, el resto se consideran horas extras y que éstas se pagan al doble
# de una hora normal cuando no exceden de 8; si las horas extras exced... | [
"noreply@github.com"
] | LeonardoArroba.noreply@github.com |
6846461a15b491de3c42e18d6aa4d646d87bad7a | 4bd5e9b67d98bfcc9611bd8b774c9ab9f4f4d446 | /Python基础笔记/13/代码/3.多继承.py | 1693fc8f7b66401a95f44f287cfcb7d4c149f841 | [] | no_license | zhenguo96/test1 | fe21510aea7feb674e52fd7a86d4177666f841c5 | 0d8de7e73e7e635d26462a0bc53c773d999498be | refs/heads/master | 2020-05-03T13:09:53.592103 | 2019-04-06T07:08:47 | 2019-04-06T07:08:47 | 178,646,627 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 623 | py | # # 多继承
# class Base1:
# def __init__(self,name):
# self.name = name
# def t1(self):
# print("Base1")
#
# class Base2:
# def __init__(self,name):
# self.name = name
# def t2(self):
# print("Base2")
#
# class Base3:
# def __init__(self, name):
# ... | [
"1148421588@qq.com"
] | 1148421588@qq.com |
a9c4497452165d55ce911de902394c5c85022e33 | 1d1cb14e6d0b2a439348d6677eb9e8e72390d39f | /01_LiniarRegression/Live/linearRegressionWGradientDescent.py | 9be2c569d79cf3a532fbfc0bbbbd1a1c066e0416 | [] | no_license | EduardoFAFernandes/MyDeepLearningIntro | 2c7b2278ed1cf446c9f3656ae9dd421c22648933 | a35a43f0690ddfa499097335d9b8aa058d1db021 | refs/heads/master | 2021-09-05T06:51:33.479757 | 2018-01-25T01:07:54 | 2018-01-25T01:07:54 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,514 | py | from numpy import *
def compute_error_for_given_points(m, b, points):
totalError = 0
for point in points:
totalError += (point[1] - (m * point[0] + b))**2
return totalError / float(size(points))
def step_gradient(current_b, current_m, points, learning_rate):
gradient_m = 0
gradient_b = 0
N = float(len(points)... | [
"nomeaocalhas3@gmail.com"
] | nomeaocalhas3@gmail.com |
424d47cd8ca4fd8aff8087b739e35b6c874f1161 | 35ce7e974e1651b1031841d84bce190be73be196 | /autonomous_car/system/controller/pid_controller.py | 7da59857bae3bd7f590eaffa8b93d5e6a45e0ef8 | [] | no_license | th-sato/py-graduate-final-project | 459b515b1ba4629fb55ca0f028f0bb92ab715167 | 48d7afb0c0c49ed98a1263c9efdfcf26e99673cd | refs/heads/master | 2022-01-25T15:46:28.268045 | 2019-07-07T03:48:02 | 2019-07-07T03:48:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,583 | py |
class PIDController:
def __init__(self):
# Constantes do controlador
# Proporcional
self.KP = {'angle': 250.0, 'speed': 5.0}
# Integral
# self.KI = {'angle': 30.0, 'speed': 1.0}
# Derivative
# self.KD = {'angle': 1.0, 'speed': 1.0}
self.max_error = 10... | [
"thiagosato22@hotmail.com"
] | thiagosato22@hotmail.com |
c02698bcbb5677d5aa1cdf687d66869a34eea59c | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p02742/s024664971.py | 37251941a04a71608f69d756b2f8eb6bf24e8a52 | [] | 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 | 259 | py | H, W = [int(_) for _ in input().split()]
if H == 1 or W == 1:
ans = 1
else:
ans = (H // 2) * (W // 2) * 2
if H % 2 == 1:
ans += W // 2
if W % 2 == 1:
ans += H // 2
if H % 2 == 1 and W % 2 == 1:
ans += 1
print(ans)
| [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
003e7a2f14683e4f88eca45a7c30f8fd449eba92 | aafedf44cbb6a2fd0616f01311e59bc55d19a87a | /todo/notes.py | 42ee723a6e0d7170fed945cff77a7390a0c070dc | [
"MIT"
] | permissive | rakeshsingh/todo.txt | 57ae6b86a9815945eebe9a2f25894ae5df060326 | 6d9d13aae99a4714bfa67c1c7b9d7d11b1ce6460 | refs/heads/master | 2021-08-16T22:13:24.960790 | 2021-06-30T20:37:53 | 2021-06-30T20:37:53 | 144,942,401 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,986 | py | import argparse
from datetime import datetime
import os
import re
import logging
from .log import setup_logging
from .exceptions import (
InvalidNotesFile,
)
from .utils import(
print_colorful,
set_file,
get_file,
)
from .constants import (
DEFAULT_FILE_SEPERATOR,
DEFAULT_FILE_SUFFIX,
DEFA... | [
"kumar.rakesh@gmail.com"
] | kumar.rakesh@gmail.com |
cdcf3cbc200241606b4cc9140c33f8aa85da216f | 2c332ae49c8130ab88ee9be7b092f66e4f88324a | /MyOwnSolution/compare_images2.py | 91e3c8d21c645f96e8bf20b90a1abd0d7e2fdea6 | [] | no_license | lalona/parking-spot-classifier | fbc34b385d3620513126c91ecc106c3727a0be63 | 835ae0a514daecf623ba456b2ee5cab26123f939 | refs/heads/master | 2020-04-07T09:44:28.396823 | 2019-05-02T19:51:14 | 2019-05-02T19:51:14 | 158,263,531 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,367 | py | """
La idea es simple: con una imagen donde el espacio se encuentre vacio se compara con otra imagenes y dependiendo las diferencias
se concluye si está ocupado o vacio
"""
import cv2
import os
from skimage.measure import compare_ssim as ssim
from skimage.measure import compare_nrmse as nrmse
import pickle
import argp... | [
"sebastianxiro@gmail.com"
] | sebastianxiro@gmail.com |
668cd341318eeaefb3cfccd3c9694710dc5d5f46 | 6dec3256279f73c563b116a8fa44900c4b51a4ce | /scrapy_demo/scrapy_demo/pipelines.py | 736cf257e01c3b8c355daf21b7e4d34a1cf2bf32 | [] | no_license | gannonk08/scrapy-demo | 6802cfbe109ff428f58c5e9957ac109bfed282a0 | 86939c56b83c9142ac129f02769770128d1f6fc6 | refs/heads/master | 2020-07-05T22:50:47.026269 | 2016-11-17T21:09:01 | 2016-11-17T21:09:01 | 73,976,758 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,052 | py | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
import psycopg2
import logging
from spiders.items import awayTeamRushItem
from scrapy.conf import settings
from scrapy.exceptio... | [
"gannonk08@gmail.com"
] | gannonk08@gmail.com |
d6e8faee78b555a964bcdabf9d7b434fba09a3c0 | b96f1bad8a74d31d8ff79bc955813bfcd17d7b26 | /24. Swap Nodes in Pairs.py | 75e6d9a0451fd14aadd62f665ddbd922cfa44910 | [] | no_license | brianhu0716/LeetCode-Solution | e7177af15e84e833ce8ab05027683ed4ac489643 | 158a4359c90b723545b22c4898047274cc1b80a6 | refs/heads/main | 2023-07-11T05:29:56.783795 | 2021-08-28T12:53:14 | 2021-08-28T12:53:14 | 374,991,658 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 444 | py | # -*- coding: utf-8 -*-
"""
Created on Sun Apr 11 15:06:14 2021
@author: Brian
"""
'''
交換相鄰兩node的值即可
'''
class Solution:
def swapPairs(self, head: ListNode) -> ListNode:
while not head or not head.next : return head
ptr = head
while ptr and ptr.next:
temp = ptr.val
... | [
"85205343+brianhu0716@users.noreply.github.com"
] | 85205343+brianhu0716@users.noreply.github.com |
7374ce7e683ccf1d4913b6f64fb04fb50b016df7 | 6c686d118e6d3072b3694c02c684a6619d4dd03e | /rsdns/tests/test_client.py | cb34bcfaef1aa74df689f00debfbff8959f697df | [
"Apache-2.0"
] | permissive | masthalter/reddwarf | 02e7b78e1e61178647fe8d98ab53eadfabe66e7f | 72cf41d573cd7c35a222d9b7a8bfaad937f17754 | HEAD | 2016-11-08T16:12:16.783829 | 2012-04-26T22:26:56 | 2012-04-26T22:26:56 | 2,387,563 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,033 | py | import httplib2
import mox
import unittest
from eventlet import pools
from novaclient.client import HTTPClient
from novaclient import exceptions
from rsdns.client.dns_client import DNSaasClient
ACCOUNT_ID = 1155
USERNAME = "test_user"
API_KEY="key"
AUTH_URL="urly"
MANAGEMENT_BASE_URL="mgmter"
class FakeResponse(ob... | [
"tim.simpson@rackspace.com"
] | tim.simpson@rackspace.com |
b19eb4c4a4c8e2182848c6efdc592bdd73bafd78 | 7f004635957d252b7e8d7d6e0aee47e24aca0b82 | /catkin_ws/src/sound_play/src/sound_play/libsoundplay.py | 12c62a885fc10f5d991711f131baaf324d3e99cd | [] | no_license | Pontusun/CIS700_Team2 | 75bef2305f5ccb7992f152b9fca20ea475077833 | 17b125b652d3be41884d6f625b7424b00ca0a6dd | refs/heads/master | 2021-01-10T16:02:19.327233 | 2016-02-11T22:20:46 | 2016-02-11T22:20:46 | 44,488,662 | 1 | 3 | null | 2015-11-29T19:54:32 | 2015-10-18T17:35:24 | CMake | UTF-8 | Python | false | false | 13,215 | py | #!/usr/bin/env python
#***********************************************************
#* Software License Agreement (BSD License)
#*
#* Copyright (c) 2009, Willow Garage, Inc.
#* All rights reserved.
#*
#* Redistribution and use in source and binary forms, with or without
#* modification, are permitted provided that ... | [
"genesis@nuc"
] | genesis@nuc |
1537c16957f6dab218fa76a979c37a5ba45f9468 | 0b4b1dd3e5652572571128750f31d088b28b19ad | /blog/views.py | 926c879a7599aea1421bbf3987c9a362189fe6b7 | [] | no_license | cozynn/djangoProject | 66d74d70efb8e0efeb4a2a21146e4a4473ab50e0 | 1bf95b7b906ce030616e994c091c9693e34c30ab | refs/heads/master | 2023-02-02T19:07:37.276396 | 2020-12-20T19:23:02 | 2020-12-20T19:23:02 | 323,114,124 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,615 | py | from django.shortcuts import render, get_object_or_404, redirect
from django.utils import timezone
from .models import Post
from .forms import PostForm
# Create your views here.
def post_list(request):
posts = Post.objects.filter(published_date__lte=timezone.now()).order_by('-published_date')
return render(req... | [
"cozynn@naver.com"
] | cozynn@naver.com |
3c3d8847ece82de5f4ddb2fa122ea976e7da211e | 2ee3a2b8971118b1a1e8c101382702d698021ad5 | /weather/models.py | 8372f28956277f086c9e5f53ff17faa6a968168c | [] | no_license | manikshahkataria/weather | 29a34264fd281cf26758be06d19dd19bbd226cfc | 1bb5160caab2dc287118ab7ed4a25cf575453ee4 | refs/heads/master | 2022-12-11T07:50:28.988645 | 2019-01-19T10:22:10 | 2019-01-19T10:22:10 | 163,946,933 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 226 | py | from django.db import models
class City(models.Model):
name= models.CharField(max_length=25)
def __str__(self):
return self.name
class Meta:
verbose_name_plural='cities'
# Create your models here.
| [
"manikshah1998@gmail.com"
] | manikshah1998@gmail.com |
5fb4b852b0812c437735609954ef8693db355baf | 75802efe7ac5e39d12c90b1ab91028f7a83f3623 | /ex3_2_nonlinear_model.py | 5527d8f1c41efad01b46792a6808fa3434ad63ef | [] | no_license | AOE-khkhan/PytorchZeroToAll | fbd5ecba967a4d7316667c028af37340518c451d | f8d9a392e44197de6c593dfd4b32cb192d3a6ba9 | refs/heads/master | 2020-09-02T12:21:32.800832 | 2018-05-09T12:38:52 | 2018-05-09T12:38:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,068 | py | x_data = [1.0, 2.0, 3.0]
y_data = [6.0, 17.0, 34.0]
w2, w1, b = 1.0, 1.0, 0.0 # a random guess: random value
lr = 1e-2 # a learning rate
num_epochs = 100 # numbe rof epochs
# our model forward pass
def forward(x):
return x * x * w2 + x * w1 + b
# Loss function
def loss(x, y):
y_pred = for... | [
"sbkim0407@gmail.com"
] | sbkim0407@gmail.com |
7587bb7173fe75660b164c360fe327e5f35df3c5 | 6e8b2c9cd80af70fc070085a07d8f34216d16ec1 | /Task 25/main.py | 7e8a4623cd9610f3db37fea47aca067d85871129 | [] | no_license | tregubchenko-dima/modern_tech_programming | 65957a8da63903e17f8421c84379d3312ece3521 | 1aa824f9f5ef32772cfc61fa4d53ab1f898594fb | refs/heads/master | 2023-04-09T04:54:23.166673 | 2021-04-27T18:51:28 | 2021-04-27T18:51:28 | 352,748,720 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,567 | py | from random import randint
from math import sqrt
def BozoSort(values, asc=True):
if isinstance(values[0], list):
list_temp = []
for i in values:
for j in i:
list_temp.append(j)
values = list_temp
num1 = randint(0, len(values)-1)
num2 = randint(0, len(va... | [
"tregubchenko2@yandex.ru"
] | tregubchenko2@yandex.ru |
96f4d811c08062451b1b929e346ee171461170de | 18aee5d93a63eab684fe69e3aa0abd1372dd5d08 | /test/legacy_test/test_poisson_op.py | ee66d578014c70395ec3525f8118d2780886458c | [
"Apache-2.0"
] | permissive | Shixiaowei02/Paddle | 8d049f4f29e281de2fb1ffcd143997c88078eadb | 3d4d995f26c48f7792b325806ec3d110fc59f6fc | refs/heads/develop | 2023-06-26T06:25:48.074273 | 2023-06-14T06:40:21 | 2023-06-14T06:40:21 | 174,320,213 | 2 | 1 | Apache-2.0 | 2022-12-28T05:14:30 | 2019-03-07T10:09:34 | C++ | UTF-8 | Python | false | false | 8,481 | py | # Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | [
"noreply@github.com"
] | Shixiaowei02.noreply@github.com |
8f296f11eca9ea2bac005150d59334d961aca574 | 2e423a357321278e08fb009812f5fd2f794f66e5 | /users/migrations/0001_initial.py | 44c4896eefc330924229af13f6fc98432e429d7d | [] | no_license | rafnixg/platzigram | 2a0f5d4c5994be31401408fd3176f57beb1da98e | e51a9d92c14c23d0de24cdda78ce9683955c43e3 | refs/heads/master | 2022-04-27T12:04:21.549548 | 2020-01-17T21:26:18 | 2020-01-17T21:26:18 | 206,177,266 | 0 | 0 | null | 2022-04-22T22:25:27 | 2019-09-03T21:41:51 | Python | UTF-8 | Python | false | false | 1,116 | py | # Generated by Django 2.2.5 on 2019-09-04 17:42
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... | [
"rafnixg@gmail.com"
] | rafnixg@gmail.com |
5fc93f5180bbbf9d6e8482073bcb89bf2d923892 | 2c68f9156087d6d338373f9737fee1a014e4546b | /src/connectedk8s/azext_connectedk8s/vendored_sdks/models/authentication_details_value.py | 982b4554803e85c978165d7b651f09cd77ff0c69 | [
"LicenseRef-scancode-generic-cla",
"MIT"
] | permissive | anpaz/azure-cli-extensions | 8b0d4071c49840da9883f13cb0fd1f4515246ee0 | 847fd487fe61e83f2a4163a9393edc9555267bc2 | refs/heads/master | 2023-04-23T17:22:53.427404 | 2021-01-29T17:48:28 | 2021-01-29T18:01:33 | 257,394,204 | 2 | 0 | MIT | 2021-01-28T10:31:07 | 2020-04-20T20:19:43 | Python | UTF-8 | Python | false | false | 890 | py | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | [
"noreply@github.com"
] | anpaz.noreply@github.com |
10a0f0560d4f34d9937c65d9b6b1f0b3ba125dcb | 4d8a66ebd98d18e407c20c93d4268b85f5548ed4 | /public/http_request.py | 9c15a12525a537248fd19e00abbaff92638d1ed6 | [] | no_license | 2295256562/API_Project | 57cc40a9c79e855aa30a25db820bbffb0add6410 | 66b72690d765ed96a9d8ae72debeaba4fe7a5073 | refs/heads/master | 2022-12-14T10:20:32.753852 | 2019-10-10T13:40:22 | 2019-10-10T13:40:22 | 213,394,060 | 0 | 0 | null | 2022-12-08T06:42:03 | 2019-10-07T13:42:25 | Python | UTF-8 | Python | false | false | 1,913 | py | import copy
import requests
from config.globals import headers
from config.globals import login_url
from functools import lru_cache
class HttpRequest:
def __init__(self):
self.headers_teml = {
'content-type': 'application/json',
'token': None
}
@lru_c... | [
"xinman.kuang@daddylab.com"
] | xinman.kuang@daddylab.com |
35b33536fa724c6e8c12b3a831280b5ef91b1f3e | 336f6cbc2fa3821ad07c702c136bd55034cd2780 | /api/views.py | 5f4dc1ce2afdd034d87e15aa2e72ff373803d22c | [] | no_license | wucg-python/dry1 | 2521bccfa23c84d4d93e28c9a4a19c4eb0c6b6ec | e68ebc5e6f65ee3ca5850223a61574b40837feba | refs/heads/master | 2023-01-05T19:28:02.699639 | 2020-11-02T02:16:08 | 2020-11-02T02:16:08 | 309,234,902 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,390 | py |
from django.shortcuts import render
# Create your views here.
from rest_framework import mixins
from rest_framework.generics import GenericAPIView
from rest_framework.response import Response
from rest_framework.views import APIView
from rest_framework import generics
from api.models import Book, User
from api.serial... | [
"1490168051@qq.com"
] | 1490168051@qq.com |
ab881c94078041feb7fe0fefd3fb0913233feb4b | e715be7aef31a307d2cf09d8a4ecf46ea662826f | /device_simulator/src/orchestator.py | e88831369f171c3e6acd4859ce8da628125314b0 | [] | no_license | GabrielMartinMoran/TFI_UNTREF | 0dcfd0d5b4d69c282ce732a21039c4a69a6530af | e4abc9bc93b840627a008e3af5f4d86b7cd30732 | refs/heads/main | 2023-06-23T11:06:35.138785 | 2021-07-14T13:21:14 | 2021-07-14T13:21:14 | 358,573,316 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,489 | py | import time
from datetime import datetime
from src.models.energy_sensor import EnergySensor
from src.models.console_display import ConsoleDisplay
from src.models.measure import Measure
from src.repositories.user_repository import UserRepository
from src.repositories.device_repository import DeviceRepository
import conf... | [
"moran.gabriel.95@gmail.com"
] | moran.gabriel.95@gmail.com |
339b6652e6902305375b21f8ec23ad0e0f230c76 | 6ddd0cfdbaca412ee2b3a7a01e7fcaad63550ac2 | /Python GUI/GUI window with various label,buttons,colors,font.py | b0274813b6a312766b548cf1260d2688c7d120c0 | [] | no_license | pranshu798/Python-programs | b302be9c9fd3aaf66824857bdb8bb2d9b8a9b5de | fb6e712594c72d8ea0be1026e6fb26c7fdd639ba | refs/heads/master | 2022-12-08T15:52:21.625098 | 2020-09-14T11:57:26 | 2020-09-14T11:57:26 | 281,318,764 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 721 | py | #Python program to demontrate complete details of GUI window
from tkinter import *
gui = Tk()
def hello():
c = a.get()
guil3 = Label(text=c, fg='red', bg='yellow', font=10).pack()
def delete():
guil4 = Label(text='Delete', fg='red', bg='yellow', font=10).pack()
a = StringVar()
gui.title("Aliyas Shaik Butto... | [
"pranshuverma798@gmail.com"
] | pranshuverma798@gmail.com |
170427ab7a1e4482bd8912d41bdaa5ebbaf1c595 | fe969d059327d767c9eb442a441395fd5e389d6a | /OriginalCode-v1/create_graphs.py | 09812b2133780e5e29a5211411aabf3c7a09eb36 | [
"MIT"
] | permissive | Wayne-Bai/Graph | ba514418261189a89801ff10839fbfb651d98dc7 | 4b563c824d946471393a1c404810d6f39a49f7fb | refs/heads/master | 2022-12-18T20:32:06.797842 | 2020-09-16T14:12:50 | 2020-09-16T14:12:50 | 277,702,901 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,766 | py | import networkx as nx
import numpy as np
from utils import *
from data import *
from data_process import Graph_load_batch as ast_graph_load_batch
def create(args):
### load datasets
graphs=[]
# synthetic graphs
if args.graph_type=='ladder':
graphs = []
for i in range(100, 201):
... | [
"bwh.buaa@gmail.com"
] | bwh.buaa@gmail.com |
89b926a667374d24e238ffecadfdddc4cc558e8b | 79164d3ac85ab44b8b29dbea8ff7395b1bf15cba | /configurations/configurations.py | 8b3390c66948a3f2bb2856b3d26bbda53e6ce345 | [] | no_license | ReubenBagtas/pytestFramework | 60cb3daa5a8613ef0bca4f21d3282cdfa2cfd6a0 | cceca23007aab71447949d54949a0c306a4281f1 | refs/heads/master | 2020-06-02T04:06:45.139851 | 2019-06-09T16:34:38 | 2019-06-09T16:34:38 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 101 | py | ALPHA = {}
DELTA = {}
PROD = {}
DEMO = {
'google-homepage': 'https://www.google.com'
}
DEFAULT = {} | [
"reubenbagtas.com"
] | reubenbagtas.com |
919cfaed50624e9fb97a068432bd5441d59ed4a1 | ff9c646af161bc4d1d38093380d8e2deb54f42d1 | /MiniAODAnalysis2/MiniAODAnalysis2/python/ConfFile_cfg.py | e4fe4e7ad2a2e67f021cd0c065696543022fb7a7 | [] | no_license | MatthiasHamer/CMS | 3ab99a9008324e104913c03c2aa322a816a2d582 | 3594ba61e5d794917cf5e0136da743fd5e6190f9 | refs/heads/master | 2016-09-10T03:55:30.810030 | 2015-07-27T16:45:40 | 2015-07-27T16:45:40 | 22,997,971 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 475 | py | import FWCore.ParameterSet.Config as cms
process = cms.Process("Demo")
process.load("FWCore.MessageService.MessageLogger_cfi")
process.maxEvents = cms.untracked.PSet( input = cms.untracked.int32(-1) )
process.source = cms.Source("PoolSource",
# replace 'myfile.root' with the source file you want to use
file... | [
"Matthias.Hamer@cern.ch"
] | Matthias.Hamer@cern.ch |
7436c86cf9c2ad83dacb6291b7f64493ca90f126 | 56e17984c230be6ee841264d65d7ba6ce949ceb1 | /DateAndTime/Calendar_Module.py | a2a0fd44eca638970bd921c1fc7b96f6358a26ef | [] | no_license | Shamsullo/HackerRank_Python- | 203b4277d7eb1de2236ff983415344a1409277d7 | 1f231f04cdd1cb0cd4e6a65318113ed15f1e47bc | refs/heads/master | 2021-05-15T05:45:58.885667 | 2018-01-11T18:36:28 | 2018-01-11T18:36:28 | 115,595,144 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 262 | py | import calendar, datetime
input_date = input()
month,day,year = map(int,input_date.split())
day_of_the_week = datetime.date(year,month,day)
print calendar.day_name[day_of_the_week.weekday()].upper()
#the code isn't giving an expected result, i wonder why?
| [
"noreply@github.com"
] | Shamsullo.noreply@github.com |
a911b9df049a048325fc20b414321d00fb1d10f4 | 64d36f801ff52465bb04b6783fab26359ffc6177 | /python-basic/meta10.4.py | 27ee8518f5623e3e896ed81b39d4010990855314 | [] | no_license | asiachrispy/tensor | 3ee3257e4c7cc518677395f81158a92339d410a2 | 29bbcd6350d3e4ce8363b25e86d708bce6612eac | refs/heads/master | 2021-01-11T20:19:14.381846 | 2018-05-15T09:33:13 | 2018-05-15T09:33:13 | 79,088,526 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 919 | py | # early stopping
from numpy import loadtxt
from xgboost import XGBClassifier
from sklearn.cross_validation import train_test_split
from sklearn.metrics import accuracy_score
# load data
dataset = loadtxt('pima-indians-diabetes.csv', delimiter=",")
# split data into X and y
X = dataset[:,0:8]
Y = dataset[:,8]
... | [
"huangzhong@jd.com"
] | huangzhong@jd.com |
6645d5a6dce03632ee27b25baedaec0596e6733e | 4eb32b229dffcfc19cc28189e12602e63a3799cc | /tests/conftest.py | b4628e9431f31f66807cbb01daa476159a7e75b7 | [
"MIT"
] | permissive | karlneco/kanji-test-maker | 4fc09e31a80fdb47e176ba7f69daaa36790dc412 | 6d3c855718971cb0061b4c238ebb8329328018bf | refs/heads/master | 2023-03-31T00:45:59.830161 | 2023-03-27T04:29:10 | 2023-03-27T04:29:10 | 227,032,872 | 2 | 0 | MIT | 2023-02-15T23:08:52 | 2019-12-10T05:00:46 | Python | UTF-8 | Python | false | false | 3,456 | py | import pytest
from flask_login import login_user, login_manager, LoginManager
from hktm import create_app, db
from hktm.models import User, Lesson, LessonMaterial, MaterialType
@pytest.fixture()
def app():
app = create_app('test.cfg')
return app
@pytest.fixture()
def auth_user(app):
@app.login_manager.... | [
"karl1112@gmail.com"
] | karl1112@gmail.com |
b1f2496ebe49df46a46292c6d998c4fbb52a383b | a10b0c634e83a652b02db4e6a24ba7d0429dfa05 | /main.py | 1caa556c793abd75cfe2dcbcde0ba8e6167be17a | [] | no_license | Diptasri/Intro-to-Ai-ML-5600 | 9f822327d5825e0e9c4cf7b446b61eaa9ee39a55 | 05efaa4f973f8c55bb12cb0b65407c3f9ce9bb50 | refs/heads/main | 2023-07-27T03:47:36.049328 | 2021-09-12T03:33:41 | 2021-09-12T03:33:41 | 399,465,959 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,388 | py | import matplotlib.pyplot as plt
# inputs
a = float (input ("Enter a value: "))
b = float (input ("Enter b value: "))
ax = a + b
ay = a - b
bx = a - b
by = a + b
# Internal division section formula
Px = ((a * a) + (b * b)) / (a + b)
Py = ((a * a) + (2 * a * b) - (b * b)) / (a + b)
# External division ... | [
"noreply@github.com"
] | Diptasri.noreply@github.com |
c7293eeb3014b78e8398f1c4818bd0ae1e72f0a8 | 7ddae3bb754cadccae7bb9a9e11986c5d3bc06b2 | /sample/getweather.py | d99bd9b98f4d400b82dc3ae5c90f9567613ae096 | [
"MIT"
] | permissive | joembis/weather_texter | b9fa1449ad9097a292362556c26e4d2700713ed2 | 046fdf6811847072662b52e3873fae8bd45a8e85 | refs/heads/main | 2023-03-04T09:16:44.055293 | 2021-02-15T10:42:17 | 2021-02-15T10:42:17 | 339,039,341 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,469 | py | import requests
from datetime import datetime as dt
from datetime import timedelta
def request_weather(url):
"""request the weather from openweathermap.org API. Returns a dict of the json file"""
response = requests.get(url)
response_dict = response.json()
return response_dict
def parse_weather(weat... | [
"76848685+jobororo@users.noreply.github.com"
] | 76848685+jobororo@users.noreply.github.com |
5b6ae4546dda852369334665c79612273e580227 | 0eaf0d3f0e96a839f2ef37b92d4db5eddf4b5e02 | /past3/e.py | 6a5af7eb3744903d23f04c0de4ad30e373c33a27 | [] | no_license | silphire/atcoder | b7b02798a87048757745d99e8564397d1ca20169 | f214ef92f13bc5d6b290746d5a94e2faad20d8b0 | refs/heads/master | 2023-09-03T17:56:30.885166 | 2023-09-02T14:16:24 | 2023-09-02T14:16:24 | 245,110,029 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 433 | py | n, m, q = map(int, input().split())
e = [set() for _ in range(n)]
for i in range(m):
u, v = map(int, input().split())
u -= 1
v -= 1
e[u].add(v)
e[v].add(u)
c = list(map(int, input().split()))
for i in range(q):
s = tuple(map(int, input().split()))
vv = s[1] - 1
print(c[... | [
"silphire@gmail.com"
] | silphire@gmail.com |
e9dfc09020ce8682f64b107a1c8ad0d41d060345 | b1b520c9bae5b241405dbc1a6b25ef928877c317 | /defangIpAddress.py | 7bed80a95e1468a02ca4701cc4900f4fa9552b8a | [] | no_license | TBobcat/Leetcode | 0ee5d06be3f7f10077961a8e3aedcd28fe4cb85a | 3b6e3d38ac2d5158329a9444ad7e7e7ee9d07176 | refs/heads/main | 2023-06-04T10:40:00.275728 | 2021-06-16T23:05:35 | 2021-06-16T23:05:35 | 375,470,361 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 660 | py | def defangIPaddr(address):
"""
:type address: str
:rtype: str
"""
## use list(str) and str.join(list_str)
## join can also be used like this
## 'abc'.join(address1.split('.')) -> '1abc1abc1abc1'
## str.replace() would also be useful
res = ""
list_address = list(addres... | [
"xiangyuantech@gmail.com"
] | xiangyuantech@gmail.com |
1ee56e00fc1f6518207dde8d7e2c4ad70939ccb7 | 62b90959763f40954a7c6270bfb0529b536b2888 | /user/forms.py | e3f2e1e1a1c2c677d176cbff33084fa0620bcb3a | [
"MIT"
] | permissive | thiagosouzalink/blogphoto_Django | 68698c4fc684f0ba1d9dde795a07f72df32ead38 | 7d09f44b196897c4d31fff2eff8d2a164e44db27 | refs/heads/master | 2023-02-20T20:32:00.527084 | 2021-01-25T15:16:07 | 2021-01-25T15:16:07 | 332,782,817 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,226 | py | from django import forms
from django.contrib.auth.forms import UserCreationForm, UserChangeForm
from .models import CustomUser
class UserForm(forms.ModelForm):
""" Formulário para cadastrar usuário"""
username = forms.CharField(
label='Usuário',
error_messages= {
'invalid': 'Nome... | [
"thiagolsmail@gmail.com"
] | thiagolsmail@gmail.com |
6919b3a14f65b0c108aa619c12b7e531c0c04e51 | 6328387281d1b2b0bec13d51916d916fea1e7351 | /myvenv/bin/easy_install-3.7 | 185061d76e1848a152ec8b720265f7b58b47dc6b | [] | no_license | MedApplive/my-first-blog | 81e40789efe28cf99c7a342f7b8c48e879e70b4c | 0268eb6a64aa2733552b285accceba8cb82cd64d | refs/heads/master | 2020-05-01T11:58:28.305631 | 2020-01-20T17:04:57 | 2020-01-20T17:04:57 | 177,456,209 | 0 | 0 | null | 2019-09-30T14:45:40 | 2019-03-24T18:57:54 | Python | UTF-8 | Python | false | false | 272 | 7 | #!/home/maurice/Documents/djangogirls/myvenv/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())
| [
"msourir@gmail.com"
] | msourir@gmail.com |
2b152bec1bfa703b5df15c67f5fc0e3aa9ab815e | 432a58b3bad9eb008ea332c06f22700172c660ac | /admin/client.py | 19d4b3ccd622ebea00d2084316019e164af6a53a | [
"Apache-2.0"
] | permissive | achanda/flocker | 7b5c5264b52489e9da774ff011699c6b62a4bddd | ac822c3d6687ea63cad2aea81334a86100bfda0e | refs/heads/master | 2020-12-11T01:40:20.625304 | 2015-08-01T05:47:10 | 2015-08-01T05:47:10 | 37,820,406 | 0 | 0 | null | 2015-06-21T18:24:07 | 2015-06-21T18:24:06 | null | UTF-8 | Python | false | false | 9,859 | py | # Copyright Hybrid Logic Ltd. See LICENSE file for details.
"""
Run the acceptance tests.
"""
import sys
import yaml
from zope.interface import Interface, implementer
from characteristic import attributes
from eliot import add_destination
from twisted.internet.error import ProcessTerminated
from twisted.python.usage... | [
"jon.giddy@clusterhq.com"
] | jon.giddy@clusterhq.com |
8602e4c68c80a37d2046a827fca331f3acf97906 | c1cad053e9fbfe536722c13338fff63e471ff252 | /Next.tech/Analyzing-Text-Data/solution/chunking.py | 58c9c3ededb97de3f1ce991ac04f48ebe62345aa | [] | no_license | adataholic/Datascience | 9bedfda47c3b84e72e9833b293ce2f602ca2ec9f | 766a34c480eec61afdd0f485a4e77428cf3eba95 | refs/heads/master | 2020-12-27T01:33:55.458858 | 2020-01-06T23:48:28 | 2020-01-06T23:48:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 803 | py | import nltk
nltk.download('brown')
import numpy as np
from nltk.corpus import brown
# Split a text into chunks
def splitter(data, num_words):
words = data.split(' ')
output = []
cur_count = 0
cur_words = []
for word in words:
cur_words.append(word)
cur_count += 1
if cur_c... | [
"akshaymm13b034@gmail.com"
] | akshaymm13b034@gmail.com |
b5f8da9a720fc87c6d511ba662b7005be382c8eb | da93b0746d5b12899c17db53839cd3055d6e8267 | /bin/dcn2.py | 111d73937abee3c2b859718d0ddab6fd1c745ffd | [
"Apache-2.0"
] | permissive | mattmoehr/rtdl | 01228261739dcc3cf3fb0e47f3a9d987c8e322eb | 44cdf56fd958bc60609ae595911d272afa998d67 | refs/heads/main | 2023-08-08T10:05:01.482980 | 2021-09-02T14:33:13 | 2021-09-02T14:33:13 | 408,602,108 | 0 | 0 | Apache-2.0 | 2021-09-20T21:14:04 | 2021-09-20T21:14:03 | null | UTF-8 | Python | false | false | 8,536 | py | # %%
import math
import typing as ty
from pathlib import Path
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import zero
import lib
# %%
class CrossLayer(nn.Module):
def __init__(self, d, dropout):
super().__init__()
self.linear = nn.Linear(d, d)
se... | [
"strausmg@gmail.com"
] | strausmg@gmail.com |
3ffd2a81defe2dd17e7c4f0ee0d2e75c6f233e90 | b481964a107b7a1afd5997e2736235ffb2c17138 | /hud.py | 86a51accc3edf2f32b32261581f9c30e58e9030f | [
"MIT"
] | permissive | marax27/pyNoid | 06503b576e97e839bcfa8d132bf8855769db7777 | c988db7ef6750352ecb6e3749f73302da4b71488 | refs/heads/master | 2021-09-04T11:19:22.625982 | 2018-01-18T07:03:43 | 2018-01-18T07:08:23 | 111,729,907 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,505 | py | #!/usr/bin/python3
from constants import Constants
from vec2 import vec2
import sdl2.sdlttf
import sdl2.ext
import sdl2
import misc
class UIElement:
def __init__(self):
self.position = vec2(0,0)
self.size = vec2(0,0)
def centerHorizontally(self):
self.position.x = (Constants.WINDOW_SIZE.x - self.size[0])//2... | [
"kacpert314@gmail.com"
] | kacpert314@gmail.com |
9378b601770bd4c71b6a616ad9a7a895ad48a7b2 | 6b2a8dd202fdce77c971c412717e305e1caaac51 | /solutions_5658571765186560_1/Python/StefanPochmann/D.py | feca86f2ed13ba681c7c3230c60ce03f3e2c21f7 | [] | no_license | alexandraback/datacollection | 0bc67a9ace00abbc843f4912562f3a064992e0e9 | 076a7bc7693f3abf07bfdbdac838cb4ef65ccfcf | refs/heads/master | 2021-01-24T18:27:24.417992 | 2017-05-23T09:23:38 | 2017-05-23T09:23:38 | 84,313,442 | 2 | 4 | null | null | null | null | UTF-8 | Python | false | false | 500 | py | #f = open('D.in')
#def input():
# return next(f)
T = int(input())
for x in range(1, T + 1):
X, R, C = map(int, input().split())
A = R * C
s, S = sorted((R, C))
gabriel = A % X == 0 and \
(X == 1 or
X == 2 or
X == 3 and s >= 2 or
... | [
"eewestman@gmail.com"
] | eewestman@gmail.com |
e18bf50cd5e5c0cee6e3670840430470da5195de | f1e4a8ab1ce478b3a95e8e8a74faa16409ac86e2 | /lambdas/InitializeDBCustomLambda/index.py | 7d26789efb9fa031b09f6bbee5909f5d6e904771 | [] | no_license | Ryanjlowe/pinpoint-engagement-scoring | 6b761fd7ada905db251d42ec1d4b47c0e27ad810 | a75f29f687c799ed6e0125c3c0044cc39c9dd2d5 | refs/heads/master | 2020-09-30T05:02:39.204421 | 2019-12-13T17:41:44 | 2019-12-13T17:41:44 | 227,209,468 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,868 | py | import json
import boto3
import logging
import os
from botocore.vendored import requests
dynamodb = boto3.resource('dynamodb')
PINPOINT_PROJECT_ID = os.environ.get('PINPOINT_PROJECT_ID')
scoring_definition_table = dynamodb.Table(os.environ.get('SCORING_DEFINITION_TABLE'))
def lambda_handler(event, context):
globa... | [
"rjlowe@amazon.com"
] | rjlowe@amazon.com |
37dafa17ed9dc319a258358248dd28b2bbf33390 | ee8c4c954b7c1711899b6d2527bdb12b5c79c9be | /assessment2/amazon/run/core/controllers/old.py | b834b8f7e61106d74a5d8d14bccffde5155b3848 | [] | no_license | sqlconsult/byte | 02ac9899aebea4475614969b594bfe2992ffe29a | 548f6cb5038e927b54adca29caf02c981fdcecfc | refs/heads/master | 2021-01-25T14:45:42.120220 | 2018-08-11T23:45:31 | 2018-08-11T23:45:31 | 117,135,069 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 360 | py | #!/usr/bin/env python3
from flask import Blueprint, Flask, render_template, request, url_for
controller = Blueprint('old', __name__, url_prefix='/old')
# @controller.route('/<string:title>', methods=['GET'])
# def lookup(title):
# if title == 'Republic': # TODO 2
# return render_template('republic.html... | [
"sqlconsult@hotmail.com"
] | sqlconsult@hotmail.com |
21d962029b74b4eafe0c5b512082596bdf3800f2 | 95e7cf518b8d71270a7de6e7c7254861010f5035 | /garage/tf/algos/batch_polopt.py | 4245380d53581a9a7d6e72637049760557283eaf | [
"MIT"
] | permissive | reslthrowaway/garage | aaeadf7e918d80d467b2fcce61c50e8404480f83 | e921119434d205b6f644f139f6075516fb9ece74 | refs/heads/master | 2020-03-28T08:32:58.835060 | 2018-09-08T21:55:41 | 2018-09-08T21:55:41 | 147,972,769 | 2 | 2 | null | null | null | null | UTF-8 | Python | false | false | 6,354 | py | import time
import tensorflow as tf
from garage.algos import RLAlgorithm
import garage.misc.logger as logger
from garage.tf.plotter import Plotter
from garage.tf.samplers import BatchSampler
from garage.tf.samplers import VectorizedSampler
class BatchPolopt(RLAlgorithm):
"""
Base class for batch sampling-ba... | [
"reslthrowaway@yandex.com"
] | reslthrowaway@yandex.com |
4106443cb73c63c91456d1feb0e571e206168629 | 0ad1a9530f0765b07d568095cb1534babc4432f5 | /utils/db.py | 0391f7d7acc6be817a2340825b6016c54fba89ab | [
"MIT"
] | permissive | bryceweiner/Infiniti | 18acc471b5882bd676e61b840bff793c22d6c272 | 5ea829dfa26c0948970329651d3cacff7788d116 | refs/heads/master | 2022-12-15T06:10:10.981048 | 2018-09-25T20:03:02 | 2018-09-25T20:03:02 | 147,550,307 | 1 | 2 | MIT | 2022-12-07T23:52:23 | 2018-09-05T16:47:43 | Python | UTF-8 | Python | false | false | 2,781 | py | import rocksdb,time,ast
from infiniti.params import *
MAX_RETRY_CREATE_DB = 100
def writebatch():
return rocksdb.WriteBatch()
def open_db(filename, logger=None, read_only=False):
db_default_path = (filename, "wallet_test")[filename == ""]
db_path = db_default_path
retry_count = 0
db = None
save_err=None
while... | [
"bryce@altsystem.io"
] | bryce@altsystem.io |
db6db0e486babf550b51b49de237a138ddc8b6ff | 960a8f1bec84563680271d10e2b9dfd296599d86 | /python/kyu_6/replace_with_alphabet_position.py | d24aef52d6acd7655c9d3a2f654f25666d09e95a | [] | no_license | Sqvall/codewars | 42bcbfad99cd6c34fd3ec5fd903010d255e5d8e9 | 4f102d89ff86cd544eed362a232cbc1f4afea77c | refs/heads/master | 2021-11-18T22:35:38.717604 | 2021-09-27T10:54:10 | 2021-09-27T10:54:10 | 204,555,403 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 606 | py | """ https://www.codewars.com/kata/546f922b54af40e1e90001da """
from string import ascii_lowercase
def alphabet_position(text):
score = 1
score_dict = {}
for i in ascii_lowercase:
score_dict[i] = score
score += 1
t = text.lower()
out = ''
for i in t:
if i in score_dict:... | [
"masster1987@inbox.ru"
] | masster1987@inbox.ru |
64f1c7bd8f0f8bab932d8e95efb828f317b84145 | 50008b3b7fb7e14f793e92f5b27bf302112a3cb4 | /recipes/Python/438806_catenateFilesFactory/recipe-438806.py | 59a8c77281e6b148e80c4e006fc5987455451ecf | [
"Python-2.0",
"MIT"
] | permissive | betty29/code-1 | db56807e19ac9cfe711b41d475a322c168cfdca6 | d097ca0ad6a6aee2180d32dce6a3322621f655fd | refs/heads/master | 2023-03-14T08:15:47.492844 | 2021-02-24T15:39:59 | 2021-02-24T15:39:59 | 341,878,663 | 0 | 0 | MIT | 2021-02-24T15:40:00 | 2021-02-24T11:31:15 | Python | UTF-8 | Python | false | false | 2,449 | py | import os
def catenateFilesFactory(isTextFiles=True, isClearTgt=True, isCreateTgt=True):
"""return a catenateFiles function parameterized by the factory arguments.
isTextFiles: Catenate text files. If the last line of a non-empty file
is not terminated by an EOL, append an EOL to it.
... | [
"betty@qburst.com"
] | betty@qburst.com |
3e1077c0c7f104ca8e5cff93ad223d48c668bb26 | d04975c798ad43c8fadc8cf7b0b3742bbbdbc632 | /dashboard/consumption/queries.py | 402f2756edeaf320d860670f4f342dbda480aacc | [] | no_license | yuki0417/smap-coding-challenge | 331e99a980adcf561338ec539631c78e33b251d0 | 6041d895f6088d8d19c12cd0ec7a44c3bb15d04c | refs/heads/master | 2023-03-13T14:48:44.443640 | 2021-03-02T13:07:59 | 2021-03-02T13:07:59 | 339,998,433 | 0 | 0 | null | 2021-03-02T13:08:00 | 2021-02-18T09:28:08 | Python | UTF-8 | Python | false | false | 2,451 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db.models import Avg, Sum
from .models import Consumption, User
class ConsumptionQueryset():
"""queryset for consumption data
"""
def get_consumption_avg_and_sum():
"""get average and sum of consumption
Get aver... | [
"nicorasuster@gmail.com"
] | nicorasuster@gmail.com |
7c07de17053aa19697fa3b8ec39bfe5a624ff542 | feca84ca57eee5045a1235006e472b4766ca3b06 | /flaskapi/graphapp01.py | 083c083606a6b6a7422cad37d931d98e190b6d4e | [] | no_license | Chasbott182/mycode | 1b89fa5d1d94a4ff39c8ce98b046189a2d9df10f | 5afcd3cc32feee16e0fecc85a6165aaa01f60774 | refs/heads/main | 2023-07-14T17:06:34.618830 | 2021-08-13T20:46:59 | 2021-08-13T20:46:59 | 392,015,327 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,815 | py | #!/usr/bin/python3
import numpy as np # number operations
import yaml # pyyaml for yaml
import re # regex
import paramiko # ssh into servers
from flask import Flask, render_template
import matplotlib.pyplot as plt
def sshlogin(ip, un, passw):
sshsession = paramiko.SSHClient()
sshsession.set_missing_host_key_... | [
"chasbott182@gmail.com"
] | chasbott182@gmail.com |
cdbf1c4051359a9d4660b03166c1b23f3c05428f | bb097a986d37c5b6d49bf6d1f9df17960e32e36e | /final_project/poi_id.py | 9f2d37fc735529d2c4baaf05ebe14afbc6c019da | [] | no_license | noslav/enron_analysis | 84e32fa2060c35d18e921cdb6647fd04019e7f57 | 9c98dfe8dcf71728cf8a8d75ab4b0c8468bd2d1e | refs/heads/master | 2021-03-22T04:42:56.034087 | 2017-12-07T15:15:55 | 2017-12-07T15:15:55 | 96,874,843 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 20,872 | py | #!/usr/bin/python
import sys
import pickle
sys.path.append("../tools/")
from feature_format import featureFormat, targetFeatureSplit
from tester import dump_classifier_and_data
import pandas
import numpy as np
from sklearn.feature_selection import SelectKBest
from sklearn.feature_selection import chi2, f_classif, mut... | [
"pranay.valson@gmail.com"
] | pranay.valson@gmail.com |
b003fe59cd7510a33a775dff69cf99d6c0c439fb | c21b64617d440a2b70b75ecdb756607044b1b797 | /todo/views.py | c135c8223640593189972880eb382f5f623da91c | [
"Apache-2.0"
] | permissive | foxy4096/DjangoToDo | cfe8d6151ba2f32f922777f7d4646dd11d6b36cb | f19d1a6d0d953354245cb4e3dedd2ad8710b4ec0 | refs/heads/main | 2023-09-02T03:34:33.144510 | 2021-11-12T10:21:17 | 2021-11-12T10:21:17 | 427,317,178 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 850 | py | from django.views.generic import *
from django.shortcuts import redirect
from .models import ToDo
class ToDoListView(ListView):
model = ToDo
context_object_name = "todos"
class ToDoCreateView(CreateView):
model = ToDo
success_url = '/'
fields = '__all__'
def form_valid(self, form):
... | [
"54215788+foxy4096@users.noreply.github.com"
] | 54215788+foxy4096@users.noreply.github.com |
34ffe8b08928d8766903d48e45e665ebdbb0834e | 8f90482e83eaac3af8b8acf019a232ec92fc878d | /assignment1/q2_neural.py | 5c6f31e1da37706d0dfe27371bfba3de63ff1230 | [] | no_license | aoussou/cs224n | 72413ec35ad0c760127703da2ff0d6753d3a3559 | 1a27d8d359c920013424a5e3376fa734c20ac10c | refs/heads/master | 2021-10-23T16:08:50.336982 | 2019-03-18T17:31:39 | 2019-03-18T17:31:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,627 | py | #!/usr/bin/env python
import numpy as np
import random
from q1_softmax import softmax
from q2_sigmoid import sigmoid, sigmoid_grad
from q2_gradcheck import gradcheck_naive
def forward_backward_prop(data, labels, params, dimensions):
"""
Forward and backward propagation for a two-layer sigmoidal network
... | [
"noreply@github.com"
] | aoussou.noreply@github.com |
8402be75cce1ddbd62ff54e6ca1af746d547ba7e | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p04044/s043863854.py | 77675a21e84977960d992326c6742602cc68d034 | [] | 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 | 172 | py | N, L = map(int,input().split())
word = []
count = 0
while N > count:
S = input()
word.append(S)
count += 1
word = sorted(word)
ans = ''.join(word)
print(ans) | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
d1fdbec314276a6ab8c6ad6bf9fb6fc536447263 | 09756a11e9c1e7c771a1ee7afaafff2bee28c9aa | /pyReadFileEx.py | 30682bc1a8cadb34471a27fbe7b7c67e3103ea17 | [] | no_license | mgupte7/python-examples1 | 74c1038ce0973ea6c668adec064c64ad59341073 | cfa903f3a6e021a408013f2fd45d3cb281a094ab | refs/heads/main | 2023-08-27T10:06:24.681075 | 2021-11-11T02:56:28 | 2021-11-11T02:56:28 | 405,139,727 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 949 | py | # ------------------------------------------------
# ----------------Python Read Files---------------
# ------------------------------------------------
# ex 1 - The open() function returns a file object, which has a read() method for reading the content of the file:
f = open("demofile.txt", "r")
print(f.read())
# ex... | [
"noreply@github.com"
] | mgupte7.noreply@github.com |
5f2b378d006e7aa2e46251661e0d4e03d3b9810f | d452e34253561a47b974e260dabd8dcda6e750a2 | /supervised_learning/0x0B-face_verification/5-main.py | 0859b3e7ecf4dc518afbab30ba555f77a521f265 | [] | no_license | JohnCook17/holbertonschool-machine_learning | 57fcb5b9d351826c3e3d5478b3b4fbe16cdfac9f | 4200798bdbbe828db94e5585b62a595e3a96c3e6 | refs/heads/master | 2021-07-07T10:16:21.583107 | 2021-04-11T20:38:33 | 2021-04-11T20:38:33 | 255,424,823 | 3 | 2 | null | null | null | null | UTF-8 | Python | false | false | 554 | py | #!/usr/bin/env python3
from align import FaceAlign
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
from matplotlib.patches import Circle
import numpy as np
fa = FaceAlign('models/landmarks.dat')
test_img = mpimg.imread('HBTN/KirenSrinivasan.jpg')
anchors = np.array([[0.194157, 0.16926692], [0.7888591... | [
"jcook0017@gmail.com"
] | jcook0017@gmail.com |
16ca7bb88839c3a6b72181762a2ffaa3aac44251 | f4062989a2b3cab117ac18a1e5408b521f69bf76 | /users/validators.py | d7e65c36f869f9ac0cf31fc4c5ebfb0141d88c2e | [] | no_license | saeedhassan/CHQ_Backend | 4e07bd5d95251e6bcd472d320e92f092d64bf071 | 3798a2b8c4e5bfbb4f4826ee22d9574316a18a90 | refs/heads/main | 2023-02-26T02:36:59.478206 | 2021-01-25T17:07:53 | 2021-01-25T17:07:53 | 467,846,247 | 1 | 0 | null | 2022-03-09T08:49:02 | 2022-03-09T08:49:02 | null | UTF-8 | Python | false | false | 1,732 | py | """
Custom model validators
"""
import re
import django
import jsonschema
from django.core.exceptions import ValidationError
from django.core.validators import BaseValidator
from django.utils.translation import gettext_lazy as _
from users.CHQ_Scoring.github_score import CHQScore
from django.conf import settings
from... | [
"x.suwaidi@gmail.com"
] | x.suwaidi@gmail.com |
0384ff350e0c11acd5694d601dd75ef9f8c1794b | 0e0254ead600d156e96b6a3a814806156f0d807d | /users/urls.py | a54f169d91f50903e4223765ed8dae5f79e9e341 | [] | no_license | catding/trainserver | 1ade4b9b53995ba93d290f19d74c7981ecc1a9bf | 3d0dbcf92642fe42293736f8bdf812d43e0cb67b | refs/heads/master | 2022-04-08T05:03:33.773819 | 2020-03-07T13:13:08 | 2020-03-07T13:13:08 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,611 | py | from django.urls import include, path, re_path
from rest_framework import routers
from .api import (
LoginView, LogoutView, AccountDetailView, PasswordChangeView,
PasswordResetView, PasswordResetConfirmView, ExcelfileUploadView, UserAvatarView, UserView
)
router = routers.SimpleRouter(trailing_slash=False)
... | [
"36583983@qq.com"
] | 36583983@qq.com |
7508ed13cb989f8e06150d4a366684e8cb626f4c | 890c8b8e90e516a5a3880eca9b2d217662fe7d84 | /armulator/armv6/opcodes/abstract_opcodes/usad8.py | 6568222b03d6464463dd16b171bf86a89484d155 | [
"MIT"
] | permissive | doronz88/armulator | b864135996f876c7857b79a314d4aa06cc19c549 | 0294feac2785c8947e5943ac0c34f941ee4b5fff | refs/heads/master | 2022-11-05T08:14:42.405335 | 2020-06-18T23:53:17 | 2020-06-18T23:53:17 | 273,363,061 | 2 | 0 | null | 2020-06-18T23:51:03 | 2020-06-18T23:51:02 | null | UTF-8 | Python | false | false | 1,008 | py | from armulator.armv6.opcodes.abstract_opcode import AbstractOpcode
from bitstring import BitArray
class Usad8(AbstractOpcode):
def __init__(self, m, d, n):
super(Usad8, self).__init__()
self.m = m
self.d = d
self.n = n
def execute(self, processor):
if processor.conditi... | [
"matan1008@gmail.com"
] | matan1008@gmail.com |
323ae2986aeb577ac7207ed8bc111206556ec27d | fbf7929ede740a416362e40b3b0d44d2b823c14e | /distinct_occure_helpers.py | f1b794b0ee5a00fe9dcf5314be1f2033a3856710 | [
"MIT"
] | permissive | martynaut/mirnaome_somatic_mutations | f588545c57871c0125656445cc66198f04c98895 | b7e332d56ee17c0b54969db8e515001bf23300f8 | refs/heads/master | 2020-04-24T22:33:20.446928 | 2019-08-08T20:14:56 | 2019-08-08T20:14:56 | 172,315,673 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 5,968 | py | import numpy as np
def set_balance(row, ratio):
if row['ratio 3/(3+5)'] >= ratio:
return '3p'
elif row['ratio 5/(3+5)'] >= ratio:
return '5p'
elif np.isnan(row['reads_3p']) and np.isnan(row['reads_5p']):
return 'unknown'
elif np.isnan(row['reads_3p']):
return '5p'
e... | [
"martyna.urbanek@gmail.com"
] | martyna.urbanek@gmail.com |
d5b8181aea069440370a3630b8e9b4e47a43870f | 72c9e235b19b80d9e332c1f19e1c4e1e28ff2cac | /craw/spider/LJ_parser.py | c2d8b50614943d46663ac37ac69ad4d2e39a7455 | [] | no_license | VinceLim68/python-craw | 56a1299b4e3ac55a3690946a6f4ff8c2c1ef5b04 | 37d1570ee10d080e55b5b8cf885b7e7a3b00c81d | refs/heads/master | 2021-01-20T06:12:10.753799 | 2017-10-28T13:56:30 | 2017-10-28T13:56:30 | 89,851,102 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,521 | py | #coding:utf-8
from html_parser import HtmlParser
import mytools
import urllib2
from bs4 import BeautifulSoup
import re
class LjParser(HtmlParser):
# 这些是2016.11.17重写的,原来那个出现了解析错误
def _get_new_datas(self,soup):
page_datas = []
titles = soup.select("div.title > a")
houseinfo... | [
"1500725439@qq.com"
] | 1500725439@qq.com |
a799262d26ff055133010df02e61e893ddf72751 | 97ebc5e257d68eb9f46551d1897f3901e4faca41 | /poketypes/basic.py | 3037cd29cb0fec3108555337432f07f2ec491987 | [
"BSD-2-Clause"
] | permissive | GrenderG/PokeDuino | 16f6ab982c447d15ff5ed9ec55a9fd35551d3fcd | 5b2d7f8fa64edb52d68b647e723f513405b391d4 | refs/heads/master | 2021-06-01T02:33:46.419676 | 2016-06-29T09:57:47 | 2016-06-29T09:57:47 | 285,349,854 | 1 | 0 | NOASSERTION | 2020-08-05T16:44:29 | 2020-08-05T16:44:28 | null | UTF-8 | Python | false | false | 1,941 | py | import ctypes
from . import encoding
class PokeMetaStructure(type(ctypes.BigEndianStructure)):
def __new__(metacls, name, bases, dct):
cls = super().__new__(metacls, name, bases, dct)
for member, adapter_type in cls._adapters_:
cls.buildProperty(member, adapter_type)
return cls
def buildProperty(cls, mem... | [
"sven.koehler@student.hpi.uni-potsdam.de"
] | sven.koehler@student.hpi.uni-potsdam.de |
1da061864c1b1847e3f5e231440d129e3e4feb12 | a489362349b6c5b7eaa6b0be0a721e295d25b98b | /Gan.py | 50e05e54bef6fd823c8f0287aedc6382c45774aa | [] | no_license | gmc112/Synthesising-Images-Via-Imagination | 6de97ee71a321b203ed9a33094e2d7dbb51d45ae | d32fb800125b8fb8230a3e712ef287624098d5b0 | refs/heads/master | 2020-06-28T00:29:46.680922 | 2019-08-01T17:39:20 | 2019-08-01T17:39:20 | 200,092,288 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,951 | py | import tensorflow as tf
import tensorflow.contrib.layers as tfcl
import os
import numpy as np
import imageio
import datetime
import Utilities as util
import Layers_gan as lay
LEARNING_RATE = 2e-4
BATCH_SIZE = 64
HEIGHT = 128
WIDTH = 128
CHANNEL = 3
DATA_REPEATS = 4
EPOCHS = 1000
VERSION = "GAN_1"
DATE = datetime.datet... | [
"ntb15144@uni.strath.ac.uk"
] | ntb15144@uni.strath.ac.uk |
c15c181958bc2aea8abc6b30ac520658a40dd56e | 5a903f3d295b9942224e5f01bce388a25a788f35 | /Q_learning_Games_v2/Q_Learning_Games_v2_/Sarsa_vs_Q_Learning/Taxi_Game/Taxi_Analysis/print_taxi_comparison_plots.py | dc4dd5c1b825083bece4a64ebfcd723565d9adaa | [
"MIT"
] | permissive | GiacomoFerro/Bachelor-Thesis | 0382e6b36c5b890e72028a97e59e80b5563d0f0f | a9ac91a208dfc175084cf22673f88add6ec15281 | refs/heads/master | 2020-04-06T18:00:16.103447 | 2019-10-09T15:11:29 | 2019-10-09T15:11:29 | 157,681,361 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,723 | py | #libreria per generare grafici
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
#lib to remove files
import os
print("Make the comparison Plots")
plt.rc('xtick', labelsize=8)
plt.rc('ytick', labelsize=8)
plt.figure(figsize=(10, 5))
f=open("rewards_taxi_qlearning.txt","r")
stringa=f.readl... | [
"noreply@github.com"
] | GiacomoFerro.noreply@github.com |
b4c799535b5e0995f3c1d6c81b0b0eaede036e40 | 19200bc6b36e33f9dec1394b90ff41272601b16d | /gistApi/asgi.py | d22173ac28e314752aaea0d52dc74a9b1c28f963 | [] | no_license | AnoshaRehan/github-gist-api-django | 103c8f0656899cd6cf068ea7945f29a51eb90e56 | 4c0a97f7eebca276de050ae071aabe40331806e1 | refs/heads/main | 2023-03-02T09:48:38.647915 | 2021-02-14T08:19:04 | 2021-02-14T08:19:04 | 338,624,345 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 391 | py | """
ASGI config for gistApi project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SETTI... | [
"anosha.rehan@lovefordata.com"
] | anosha.rehan@lovefordata.com |
ce9f9a67e6de02ba78da7819553047f0a148bb68 | 9bcb054fa53e1ff749f2ba06c7477b60c0a1dccf | /internet connection check.py | 025e54ba14c6fdfcd2dcc55e5a6b72e06dbf6956 | [] | no_license | thatscoding/Hacktoberfest-2023 | e67594420d39340095dde77e02bcf20353a5f645 | 40cfc950487e040b192a304a9d387dda2988845b | refs/heads/main | 2023-08-28T07:28:41.110272 | 2021-10-30T11:48:00 | 2021-10-30T11:48:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 596 | py | import requests
from requests.exceptions import ConnectionError
def internet_connection_test():
url = 'https://www.google.com/'
print(f'Attempting to connect to {url} to determine internet connection status.')
try:
print(url)
resp = requests.get(url, timeout = 10)
resp.text
resp.status_code
... | [
"noreply@github.com"
] | thatscoding.noreply@github.com |
844abc176cf2c1ec5d48f1e98a0747b94eccebec | 004b7726cfbedd6ecb6a1dec455211f1b1635919 | /OCR_Test/gendata.py | 8b5a276f17c703b35952b97c6ac1e980d94f708b | [] | no_license | bluedott/p3_fuckup | e1cafabeda43b2d190836bd994c4af5d5b8c2379 | 6ff119cded8c30ef3acfc02c5ecefaa4d9178520 | refs/heads/main | 2023-01-22T00:16:01.252835 | 2020-12-07T03:00:45 | 2020-12-07T03:00:45 | 319,187,963 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 6,790 | py | # GenData.py
import sys
import numpy as np
import cv2
import os
# module level variables ##########################################################################
MIN_CONTOUR_AREA = 100
RESIZED_IMAGE_WIDTH = 20
RESIZED_IMAGE_HEIGHT = 30
##############################################################################... | [
"34089891+bluedott@users.noreply.github.com"
] | 34089891+bluedott@users.noreply.github.com |
f2f5ef38ae9682ff7b25a938c4bedefddb4f355e | 51a38a3b7d90bae3b8d137decb681eea5264c1d6 | /i_scene_cp77_gltf/material_types/glass.py | 188e0a71a10560152bd25f176c3e8fc445ba17c1 | [] | no_license | Walrus159/cp77research | 8ece0de4fec7ab9a61c43dbafc38350ee1f6d0ef | 4612c86245f874dec3fbf5c2deff9cbf998d23ce | refs/heads/main | 2023-07-19T12:32:59.968590 | 2021-08-31T23:56:42 | 2021-08-31T23:56:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,285 | py | import bpy
import os
from ..main.common import imageFromPath
class Glass:
def __init__(self, BasePath,image_format):
self.BasePath = BasePath
self.image_format = image_format
def create(self,Glass,Mat):
CurMat = Mat.node_tree
CurMat.nodes['Principled BSDF'].inputs['Transmission... | [
"65016231+ja-to@users.noreply.github.com"
] | 65016231+ja-to@users.noreply.github.com |
664fd5e22572825ff02d5842fce584a415d850a8 | 62bdde43ce88507530610a2b77d2ce0859eebc8b | /SWEA/queue/L5105-미로의_거리/L5105-미로의_거리-jiwoong.py | 9ca4aecca30d1d8a77e4b2053a655343efd4a697 | [] | no_license | j2woong1/algo-itzy | 6810f688654105cf4aefda3b0876f714ca8cbd08 | 7cf6cd8383dd8e9ca63f605609aab003790e1565 | refs/heads/master | 2023-08-21T12:51:54.874102 | 2021-10-03T04:35:21 | 2021-10-03T04:35:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,008 | py | def bfs(x, y, z, visited):
# 상하좌우
dx = [0, 1, 0, -1]
dy = [-1, 0, 1, 0]
# 현재 위치 queue
q = [(x, y, z)]
# 큐가 빌 때까지
while q:
curr_x, curr_y, curr_z = q.pop(0)
visited[curr_y][curr_x] = 1
for i in range(4):
# 나가지 않으면
if 0 <= curr_y + dy[i] < N and ... | [
"j2woong1@gmail.com"
] | j2woong1@gmail.com |
78abb25a1c9ddc2546892cffbfa7b04ce2ad80ee | 2298959b25d93360be8dc45f00e989cac96b5c5d | /ex40.py | 6f7443d7d3dc28ec948c6a9106ff589391e9d7f1 | [] | no_license | VigneshMcity/Python | 6e7cdef7e4cb09eec587ca85073f8171aa9492ec | 8970368210d6e8c3f6ab1f6e6cf3213dd51b004a | refs/heads/master | 2020-04-14T20:08:27.298067 | 2019-12-13T07:17:04 | 2019-12-13T07:17:04 | 164,083,462 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 435 | py | class Song(object):
def __init__(self, lyrics):
self.lyrics = lyrics
def sing_me_a_song(self):
for line in self.lyrics:
print(line)
happy_bday = Song([
"Happy birthday to you",
"I dont want to get sued",
"So I'll stop right here" ])
bulls_on_parade = Song([
"They rally around th... | [
"vignesh.rajendran01@infosys.com"
] | vignesh.rajendran01@infosys.com |
cfbc73e87a1f617dd5d05185217fead9b365b1cd | 8c0e6de3a106ef148dd2994973f3f5cb807c70eb | /General Programing/Documentation Hub/imageviewer.py | ac39a35f9c94c5dffe56d0b6d169a8e29ad2f0fd | [] | no_license | TKprotich/Practices-and-Experimenting | 8f8928cc43e6cb9996b064d66dc6783fc8edf362 | 211e11f3f52b36dd6dc944d3b503c81d412acb4b | refs/heads/main | 2023-01-11T00:12:14.404189 | 2020-11-15T13:41:24 | 2020-11-15T13:41:24 | 304,259,482 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 180 | py | import pyglet
window = pyglet.window.Window()
image = pyglet.resource.image('workout.JPG')
@window.event
def on_draw():
window.clear()
image.blit(0, 0)
pyglet.app.run()
| [
"marchemjor@gmail.com"
] | marchemjor@gmail.com |
84670e385fe2ed6a8e0c8a66732d455455589e1c | 5b5bac2aa1104bd7afe27527dc53c260667b4de1 | /spotify_convert/migrations/0011_remove_addedsong_spotify_name.py | 555b6a34320e1e011c126db41348d3376c956b96 | [] | no_license | mvasiliou/spotify-convert-app | 4bf86443ce9c216dc8a9bcbf3f7c81ff01828175 | 876e456c956fd0aeae65dc1db9f683373bfa9c9e | refs/heads/master | 2021-01-19T13:37:19.060429 | 2017-02-18T17:25:00 | 2017-02-18T17:25:00 | 82,402,537 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 409 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2017-02-15 22:01
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('spotify_convert', '0010_auto_20170215_1712'),
]
operations = [
migrations.RemoveFiel... | [
"mvasiliou94@gmail.com"
] | mvasiliou94@gmail.com |
8b5c5c6b77660de1cffa41c624fe3f6e1c9a7840 | fa88ee925ec2a3ca1def17f1518d6b3e59cab197 | /Database Preprocessing/prepare_protein_data.py | f8ba54116deca63a435cf94336b6c7590a31e788 | [] | no_license | asadahmedtech/DEELIG | 20d915851bc053db7647d94e3ee61570524339d7 | 3a3993fc903c40f1ce904111c8e085c79fb45df6 | refs/heads/master | 2023-05-19T21:53:18.196879 | 2021-06-09T14:15:18 | 2021-06-09T14:15:18 | 264,231,113 | 9 | 5 | null | null | null | null | UTF-8 | Python | false | false | 4,353 | py | from Bio import *
import os
#PDB Parser
from Bio.PDB.PDBParser import PDBParser
from Bio.PDB.DSSP import DSSP
from Bio.PDB.NACCESS import run_naccess, process_rsa_data
import pickle
#Labels for files
"""Secondary Structure in Millers Format
H - Alpha Helix (4-12) = 1
B - Isolated Beta Bridge residue = ... | [
"aahmed3@student.nitw.ac.in"
] | aahmed3@student.nitw.ac.in |
5ba31f6ee551ccdab61849ead5d95db11cb35504 | 7ea5c45401947eaa56c7abb571fc5968aa74abd1 | /python入门/day_9_函数/9-2-向函数传递信息.py | c81f629fd921a2bcc50119839a93ef863318ba1a | [] | no_license | jihongsheng/python3 | a901d47c7a46054360f5efe8087ad0f958981945 | 12e2d5bf29bc8c1d16f05e6afcbc6f70530d0d6d | refs/heads/master | 2020-05-16T22:18:50.210424 | 2019-05-14T00:53:39 | 2019-05-14T00:53:39 | 183,331,780 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 922 | py | # -*- coding: UTF-8 -*-
# 只需稍作修改,就可以让函数greet_user() 不仅向用户显示Hello! ,还将用户的名字用作抬头。
# 为此,可在函数定义def greet_user() 的括号内添加username 。通过在这里添加username ,就
# 可让函数接受你给username 指定的任何值。现在,这个函数要求你调用它时给username 指定一
# 个值。调用greet_user() 时,可将一个名字传递给它,如下所示:
def greet_user(username):
print("Hello,%s!" % username)
# 代码greet_user(usern... | [
"6909283@qq.com"
] | 6909283@qq.com |
2b0ce6210932107f0a5bcb5e5e2b9fcb8b44dfb1 | 62bdde43ce88507530610a2b77d2ce0859eebc8b | /BOJ/mathematics/01676-팩토리얼_0의_개수/01676-팩토리얼_0의_개수-jiwoong.py | 3a451210c54a1ccdfad790cfe2f53a10c021a7f6 | [] | no_license | j2woong1/algo-itzy | 6810f688654105cf4aefda3b0876f714ca8cbd08 | 7cf6cd8383dd8e9ca63f605609aab003790e1565 | refs/heads/master | 2023-08-21T12:51:54.874102 | 2021-10-03T04:35:21 | 2021-10-03T04:35:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 461 | py | import sys
input = sys.stdin.readline
N = int(input()) # N!
def fact(N):
if N == 1:
return 1
else: # factorial 구현
num = N * fact(N - 1)
return num
if N == 0:
print(0)
else:
num = str(fact(N)) # 문자열 처리로 0의 개수 count
cnt = 0
for i in range(len(num) - 1, -1, -1): # 뒤... | [
"j2woong1@gmail.com"
] | j2woong1@gmail.com |
c8eaaeff0e10a34dc8797ff71d4ae9cab3cf709f | b7400cf7509d8cc2383fe379b3cdf39155350510 | /AI/ML_practice/DiigitRecognition/DIgitRec.py | 7a25639c3add71e67451b34a03df6a7a99eaa2cc | [] | no_license | Rajesh-Khanna/Currently-Learning | 869f2637f70a14d8691b5675aa201e1d355bf578 | bddfa0257c5ce1b5c981adefe4fd4e5baffba89f | refs/heads/master | 2021-05-05T17:09:05.182197 | 2018-06-15T14:41:57 | 2018-06-15T14:41:57 | 117,344,246 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,665 | py | from flask import Flask,render_template,request
from scipy.misc import imsave, imread, imresize
from keras.models import load_model
import numpy as np
import tensorflow as tf
import base64
import cv2
import codecs,re
app = Flask(__name__)
def convertImage(imgData1):
imgstr = re.search(b'base64,(.*)',imgData1).group(1... | [
"chrajeshkhanna82798@gmail.com"
] | chrajeshkhanna82798@gmail.com |
7a2be79cbb91cadb4e2dae87334243513712b700 | b9ccff33b9003c666d940dcab81e812f3cd9fa36 | /test.py | 866d57684b553cf78e50dbc2a407cdbfd85fe52e | [] | no_license | willdoescode/nim-math-computations-python | 10850ef4c50fdc5245c365c1a40ff69dc6fa7667 | e40b4ab335a32e8ba84b60a4dc1fbb1c98dd1fea | refs/heads/main | 2023-03-06T05:42:33.698655 | 2021-02-22T05:55:42 | 2021-02-22T05:55:42 | 341,094,723 | 16 | 0 | null | null | null | null | UTF-8 | Python | false | false | 345 | py | import math_computations
print('--- Add')
print(math_computations.add(5, 5))
print('--- Fib iterator')
for i in math_computations.fib(10):
print(i)
print('--- Fib func')
print(math_computations.fibF(10))
print('--- Is Prime')
print(math_computations.is_prime(2))
print(math_computations.is_prime(4))
print(math_c... | [
"williamlane923@gmail.com"
] | williamlane923@gmail.com |
9efc6155568b3d9233b7ce966d249f50faa2e6f5 | d0fe73d675e7a7a4b1c5ccfbe3fce46f62af4b27 | /plugin/__init__.py | 2f5b4348bd8f74b3b4921f1f9c23e71d2c5a9ba4 | [] | no_license | nguyenvulebinh/OCR-Seq2Seq-Language-Model | 872f99fc2c161e78669c27976e66f9a0fd5195aa | 92198cfce04578e794ccc34ae0aacb33f0033bac | refs/heads/master | 2022-06-28T22:51:54.819120 | 2020-05-12T04:01:58 | 2020-05-12T04:01:58 | 188,793,839 | 9 | 0 | null | null | null | null | UTF-8 | Python | false | false | 107 | py | import plugin.criterions
import plugin.models
import plugin.modules
import plugin.tasks
import plugin.data
| [
"nguyenvulebinh@gmail.com"
] | nguyenvulebinh@gmail.com |
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