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25c1583f338462adcda09716bc7a799535e2b80c | 9817081963d03259c666074aad04e2b77d3fd43a | /EIC-Beamtest-FW/scripts/new_scripts/BMD_TXConfig_mod.py | ee4c85ae42fd0b94d7f200bd804208c0af198178 | [] | no_license | nathankp/mRICH-FW | b3553f768cc82007c2d4381a5cbbca8d694aadea | a189edc039e989db136d15ffb2686b55dc6c41cb | refs/heads/master | 2021-06-04T13:17:30.771931 | 2020-06-23T01:24:41 | 2020-06-23T01:24:41 | 148,863,832 | 1 | 2 | null | null | null | null | UTF-8 | Python | false | false | 37,807 | py | #!/usr/bin/env python
'''
University of Hawaii at Manoa
Instrumentation Development Lab (IDLab), WAT214
AUTHORS:
khanh le 9/6/17
DESCRIPTION:
Mode 0: sets detector to default values (DAC:0.95V and TH: 1550)
Mode 1: Does Baseline scan over DAC range set below for selected raw HV or rechecks baseline if scan ... | [
"nathankp@hawaii.edu"
] | nathankp@hawaii.edu |
2d571fe40d4c9c9c2c0af5d5ac30b5bd3da99678 | c7711e041637464339b962b18289bbd324165171 | /Pyside2Examples/widgets/itemviews/addressbook/addresswidget.py | ae8396b736b7884ca5eb4f0549dc9f39a2eb2fb4 | [] | no_license | FlysongMH/MyQtProject | 57281fd1dfc6aa6cc823226f26635d0c74c76f75 | 42437313d55bbfc512eb512c31cb0b856d3d8a5f | refs/heads/master | 2020-12-11T11:17:53.560032 | 2020-09-29T10:58:42 | 2020-09-29T10:58:42 | 233,833,664 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,452 | py |
#############################################################################
##
## Copyright (C) 2011 Arun Srinivasan <rulfzid@gmail.com>
## Copyright (C) 2016 The Qt Company Ltd.
## Contact: http://www.qt.io/licensing/
##
## This file is part of the Qt for Python examples of the Qt Toolkit.
##
## $QT_BEGIN_... | [
"song.m.h@163.com"
] | song.m.h@163.com |
333f6a2ec3a9229e86c9318beb30008c51908041 | 591a1a5b334efc878d890c2492a2f1b6cf475b6c | /fixJobAccountant.py | 41d6c79ffadfea61bdaa333e5338c42660fc5f43 | [] | no_license | amaltaro/ProductionTools | b827fa8a80006443b00004f90658791fdea4fc26 | df85a4d4ae35e4f4c7523fcba9b22a1300329e06 | refs/heads/master | 2023-06-08T22:59:19.377928 | 2023-05-24T18:04:26 | 2023-05-24T18:04:26 | 22,791,862 | 0 | 3 | null | 2021-03-22T11:41:18 | 2014-08-09T17:55:03 | Python | UTF-8 | Python | false | false | 2,519 | py | """
__fixJobAccountant.py__
Fixes Report.pkl files when JobAccountant crashes reporting that
TaskName does not exist in the FJR.
Created on Oct 15, 2014.
@author: amaltaro
"""
import sys, os, subprocess
import threading
import logging
import time
from pprint import pprint
from optparse import OptionParser
try:
f... | [
"alan.malta@cern.ch"
] | alan.malta@cern.ch |
e34efb2f69885545cb196dd08028295eb2dd8f74 | 9b807920506b6a040a4160c0ad1c5d430ccfa051 | /Praktikum/PraktikumModul4/PraktikumGUI.py | e86279459a939d05c0d9c99b31792db218f7b795 | [] | no_license | raihaniqbalpasya/19104030_Raihan_PermogramanGUI | 6d34318f2996b400d6a0eead978b3e561cc0f101 | 56595ea6a45551be9160338372505ecfea0dc371 | refs/heads/main | 2023-08-25T02:58:38.240550 | 2021-10-16T15:58:52 | 2021-10-16T15:58:52 | 357,081,001 | 0 | 1 | null | 2021-10-16T15:58:53 | 2021-04-12T06:23:09 | Python | UTF-8 | Python | false | false | 2,198 | py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'Praktikum GUI.ui'
#
# Created by: PyQt5 UI code generator 5.15.4
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 imp... | [
"noreply@github.com"
] | raihaniqbalpasya.noreply@github.com |
2b231cb9f9367c5766f23ddf11ce88e499e8e2d3 | d5b7b9af176e6fd876c8d5733c12b91235f06d52 | /common_tools.py | 0b2c11768ecacc60e665c3eeb1343befbf1a1712 | [] | no_license | zcrwind/AUFS_ZSL | fb73d307bd2df06a8ea3dbc3d2bad9ccb9a11108 | 1bbd137fdfdfed3f22cfced3e82ce4d54582157b | refs/heads/master | 2020-12-27T03:02:39.939993 | 2020-02-22T07:17:44 | 2020-02-22T07:17:44 | 237,742,362 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,525 | py | # -*- coding: utf-8 -*-
import numpy as np
import torch
import torch.nn.init as init
def print_args(args):
print('-' * 50)
for arg, content in args.__dict__.items():
print("{}: {}".format(arg, content))
print('-' * 50)
def weights_init(m):
classname = m.__class__.__name__
if 'Linear' in ... | [
"“chenrui.zhang@pku.edu.cn"
] | “chenrui.zhang@pku.edu.cn |
37e1eee4e4fa451c4a6ac46503cd57f10cb451c1 | 4372db190a7ac83942998eda7bc767c26de4ff23 | /faster-rcnn.pytorch/lib/build/lib.linux-x86_64-3.6/datasets/factory.py | 4ad0eb79fae998dd01bc30478c14f875c3ed8bc7 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | zhangyanyu0722/Carla_3D_Tracking | 8321deb574f71ef63f7b97f7d139a19e9fa26c76 | 72673713bb798023e82ccc257e8c05459c34a4b9 | refs/heads/main | 2023-01-24T19:50:14.847136 | 2020-12-05T20:13:43 | 2020-12-05T20:13:43 | 301,830,367 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,552 | py | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
"""Factory method for easily getting imdbs by name."""
from __future__ ... | [
"noreply@github.com"
] | zhangyanyu0722.noreply@github.com |
f1a9d3a80e913e79ebefb3bb97b8d73847274d9b | 109071bedd5c78afdfeacfa7b3976e0849acd6a4 | /function2vec2.py | dae099857b80d58f1975f4301141b1f2ffa272dc | [] | no_license | Woffee/dlvp | aa2a3271e3ca66316f9194a3b703b223398ca116 | c031c42f25cf80c8df8da9b2405b6525b56912ed | refs/heads/master | 2023-07-08T21:26:39.223475 | 2021-08-14T20:53:19 | 2021-08-14T20:53:19 | 372,368,219 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 19,250 | py | """
Functions 2 vectors. The functions are generated by Scitools Understand.
@Time : 7/18/21
@Author : Wenbo
"""
import pandas as pd
import argparse
import json
import os
import tempfile
import subprocess
import time
import logging
import hashlib
import preprocess_code
import longpath
from pathlib import Path
B... | [
"iwoffee@gmail.com"
] | iwoffee@gmail.com |
f1165503372a4e749c7fe0702f75e3d609d4c87b | 3a26e45eced38e1a264ac01f5ee6c91aad40345d | /backend/model.py | f6794fb8c66a3d226a85ea2acbd20b362d31fc6a | [] | no_license | Johnxjp/sudoku_draw | b425376bfd658fe4a21016eacf5b1fbd81c2bdeb | 483542bd51470c762a74266c4303ec89e98b82d9 | refs/heads/master | 2022-04-08T20:43:12.913061 | 2020-02-07T17:10:21 | 2020-02-07T17:10:21 | 237,917,210 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 676 | py | import torch.nn as nn
import torch.nn.functional as F
class MNIST_CNN(nn.Module):
def __init__(self):
super().__init__()
self.img_h = 28
self.img_w = 28
self.out_channels = 32
self.conv1 = nn.Conv2d(1, self.out_channels, 3)
self.pool1 = nn.MaxPool2d(2, 2)
se... | [
"lingijohn23@gmail.com"
] | lingijohn23@gmail.com |
86536deb1e9adc5337b8f85e1c47f7477eece646 | fd0778b19a58ff77b8511bef3131720ece115e7d | /cleanup.py | 37e7d80448d23cf53f10dc86d228b7d1c2c4f457 | [] | no_license | MakeSchool-17/twitter-bot-python-gordoneliel | 05ee6cae30ebc362da4026afb6ad04d4336302d5 | e71c401a4e07e0e6bb1165c7bf5b1d99cdc5e276 | refs/heads/master | 2021-01-10T17:03:51.143986 | 2015-11-10T03:32:38 | 2015-11-10T03:32:38 | 43,092,937 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 74 | py | ''' cleanup.py
Module for cleaning up a source text fromt the web
'''
| [
"gordoneliel@gmail.com"
] | gordoneliel@gmail.com |
38059ca498d3f9141b84156a522fd5bca676ddfa | 0afc72deeb8928e6d488a1c3cb762ed0c4bd73fc | /scripts/02.transform/02.encode.py | da3e9cc96bd537a4a9ab5f8a61a53ebb8d4cb6cf | [] | no_license | Asky-M/dscnf-06 | cb5cd4a402938bcc53723dbc7bbf4e95b548c0f0 | cbe021d568c94b14929759e905592a11cefc7626 | refs/heads/master | 2023-03-27T03:28:05.390087 | 2021-04-03T06:30:51 | 2021-04-03T06:30:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 475 | py | # encode/decode base64 with codecs
import codecs
s = b"Satria Ady Pradana"
t = codecs.encode(s, "base64")
print(t)
u = codecs.decode(t, "base64")
print(u)
# encode/decode base64 with base64
import base64
s = b"Satria Ady Pradana"
t = base64.b64encode(s)
print(t)
u = base64.b64decode(t)
print(u)
# encode/decode... | [
"me@xathrya.id"
] | me@xathrya.id |
90c0e47be33b46ea4a6bbb50a30265b352d84775 | e621f5f49b77ff8824039464d684d8b5f8476152 | /Code/Backend/OpenCV/face.py | 7bbe2dd45646c96ea216486459beaeb34b69489f | [] | no_license | moktadirkhan/CSE499-Spring21-Project | bbc95b9b20a474ed86bde9998ee50506e5f326a9 | a4daa37308cecbddf6bbb2d980e5c63db36a19c1 | refs/heads/main | 2023-07-12T21:43:16.301130 | 2021-08-26T08:59:17 | 2021-08-26T08:59:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,936 | py | import numpy as np
import cv2 as cv
import pickle
from datetime import datetime
face_cascade = cv.CascadeClassifier('D:\\Django\\OpenCV\\Cascades\\data\\haarcascade_frontalface_alt2.xml')
recognizer = cv.face.LBPHFaceRecognizer_create()
recognizer.read("trainner.yml")
def markAttendance(name):
with open('attendanc... | [
"moktadir@algomatrix.co"
] | moktadir@algomatrix.co |
df9b64e6d3a54ef70c3d1c8dfbb4fa7f779cb0be | cc06f6d886adafb4777b9f3791ef40097cc4faf3 | /adminuser/models.py | 4a4801053b75aa547270c9b07d872e7f903c7562 | [] | no_license | nomitv/udaan-test | 80b66e998c89938e645711538faf491d7a6ae05a | 816ce5aa9890939ba0974aed01925f3c7e2bdfbf | refs/heads/main | 2023-06-24T14:14:26.439957 | 2021-07-11T11:33:47 | 2021-07-11T11:33:47 | 384,872,595 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 220 | py | from django.db import models
# Create your models here.
class AdminUser(models.Model):
name = models.CharField(max_length=255)
phone = models.CharField(max_length=15)
pincode = models.CharField(max_length=6) | [
"37868827+nomitv@users.noreply.github.com"
] | 37868827+nomitv@users.noreply.github.com |
72abe96e55888b2f816aee1fbf0a969dc95b4989 | ba602dc67ad7bb50133aeb312f3c6c54627b3dec | /data/3919/AC_py/508160.py | e46139c365eab6e0455d028613d93c2cc248b297 | [] | no_license | Dearyyyyy/TCG | 0d21d89275906157372d775f33309ce337e6bc95 | 7b80de16de2d3f5d95a7c4ed95d45a9e38882e67 | refs/heads/master | 2020-12-27T23:19:44.845918 | 2020-02-04T01:59:23 | 2020-02-04T01:59:23 | 238,101,032 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 430 | py | # coding=utf-8
import sys
while True:
a,b,c=map(int,input().split())
if(a+b>c and a+c>b and b+c>a):
if a==b and b==c:
print("DB")
else:
if a==b or b==c:
print('DY')
else:
if b*b+c*c==a*a or a*a+c*c==b*b or a*a+b*b==c*c:
... | [
"543271544@qq.com"
] | 543271544@qq.com |
dade48e1ed146077252f6aa02953c7b1e9d9ee13 | 63d9d4101f3c63f3d86d50c39c2fd0087e8368cd | /lianjia_ershoufnag/district.py | c43be38892ed14f7bd579c01ad923c0800bad74e | [] | no_license | weiropan/Python_spider_coding | c820e7a8e2ab19a986cf26d40095624373bc1914 | f21dac0435ed1addf40a1d8cd3b169b95d7c5636 | refs/heads/master | 2020-03-31T15:40:32.861255 | 2018-11-04T09:07:08 | 2018-11-04T09:07:08 | 152,346,358 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,274 | py | # -*- coding: utf-8 -*-
"""
Created on Wed Sep 5 20:06:23 2018
@author: weiro
"""
from lxml import etree
import citys
def get_city_url(url):
'''根据输入的城市名查得该城市网址'''
citys_url = citys.anly_citys_url(url)
city_name = input("请输入您想查询的城市:")
city_url = citys_url.get(city_name)
print(city_name, city_url)... | [
"weirongpan@outlook.com"
] | weirongpan@outlook.com |
e3c6b66cc35e29ae5017db91041accc814070b1e | dab8655edb5d1bc5a8cb9895f049b516ad73a23f | /ClassAndMethods.py | 6c41bb1be56600283f549e5af165dd8935456df7 | [] | no_license | arjungprs/pythonlearning | 52a385f9ef5db54b59842a8ca58366176874bdcd | c70f01cbd4ecd305d7399bdaf11e1c7df2bf0382 | refs/heads/master | 2020-03-09T20:14:46.615675 | 2018-04-11T01:30:46 | 2018-04-11T01:30:46 | 128,979,434 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 779 | py | students = []
class Student:
school_name = "Springfield Elementary"
def __init__(self,name,student_id=121):
self.name = name
self.student_id = student_id
# student = {"name": name, "student_id" : student_id}
students.append(self)
def __str__(self):
return "Studdent" ... | [
"ar.ar@com"
] | ar.ar@com |
1d02bf3cd55532e014713817af8ee6a118c59f9a | 3ab08e0758f9e4da3f078327395d8f733686d90c | /pytorch-maml-rl/maml-rl-env/bin/easy_install | c203ca1891c386af51a109d6cdd43f59de1af362 | [
"MIT"
] | permissive | benkha/deep_rl_maml | 1a6a8ad61b4a26bea3de38fd6518680145a6f2cb | f9c49df6ff55ddfb27abf3fee997e8d956b8d741 | refs/heads/master | 2020-04-06T13:27:06.210089 | 2018-11-18T01:17:58 | 2018-11-18T01:17:58 | 157,500,727 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 272 | #!/Users/Research/pytorch-maml-rl/maml-rl-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())
| [
"ennsharma@berkeley.edu"
] | ennsharma@berkeley.edu | |
2ff7ad057b524be260d7ec4e86557e3aca3f6173 | 09dda5862259a76c850f9cfc9fa21e2c83a806ea | /app/__init__.py | e81a1e451af28fe195e5f9d51c12c371da0d40b5 | [] | no_license | RashikShahjahan/Control-Toolbox | 44e33f602fdb692178db7caed5864c2414a3d27a | e421a50e9f0755a6e688e4815e68b80079907680 | refs/heads/master | 2022-07-12T19:08:28.649855 | 2020-11-05T05:13:39 | 2020-11-05T05:13:39 | 254,261,429 | 0 | 0 | null | 2022-06-22T02:56:09 | 2020-04-09T03:25:17 | Python | UTF-8 | Python | false | false | 241 | py | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 6 15:52:00 2020
@author: rashi
"""
from flask import Flask
from config import Config
app = Flask(__name__)
app.config.from_object(Config)
app.config["DEBUG"] = True
from app import routes
| [
"rashikshahjahan@protonmail.com"
] | rashikshahjahan@protonmail.com |
095e09b9d540748e279077922e0350cb923a5e0e | f89c9dc3926a9bbb86bac530d3ecd96b65b78152 | /ex2.py | 3eeecfa66eb5cbda95a244bff276d59ce77d9272 | [] | no_license | elitsuri/EX2EliyhoTsuri-MachineLearning | b33d4c996a0f240b5b1cbd451249c4168bda11a1 | c19c2075f5baae9dafd3825bb419c49f621e1356 | refs/heads/master | 2023-07-09T15:51:39.990082 | 2021-08-03T14:49:44 | 2021-08-03T14:49:44 | 392,351,672 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,903 | py | import numpy
from sklearn import datasets
from sklearn.model_selection import cross_val_predict
import matplotlib.pyplot as plt
from sklearn import datasets, svm, metrics
from sklearn import linear_model
from sklearn import preprocessing
from mpl_toolkits.mplot3d import Axes3D
import array as arr
# -----------------... | [
"zelitesuri@gmail.com"
] | zelitesuri@gmail.com |
860dd9f86a28532a563d0339d919bdca8685f06e | c70883df912c252031e0e70faea6e528d873324d | /DT24.py | ae11724e7c84fd22c9010bebcc31afc54f321fb0 | [] | no_license | DipeshBuffon/python_assignment | 5ebb869f47dc58c1a269f14f281d107925353323 | a225bcce257fa50ecdbe7d8a2e36578577a9281c | refs/heads/master | 2022-11-10T07:59:15.372528 | 2020-06-28T12:23:52 | 2020-06-28T12:23:52 | 275,578,807 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 129 | py | #Write a Python program to clone or copy a list.
list1=['Dipesh',10,"Pokhara","Ktm",7]
list2=list1.copy()
print(list2)
| [
"noreply@github.com"
] | DipeshBuffon.noreply@github.com |
a621ea6583493a3ba9c5c5cb0c4cede434987aa6 | 461b481e09d142e487199857188d6868d6cedf17 | /nrv/new_dash.py | 4b86983a33113ad08cc8c6fea0df5e8cffaeb02c | [] | no_license | giorgostsilivis/microservices_cvs | d5703ebedd5ced8405b48f5548d0e66dc30b3545 | 0104e8d78c0a01d6432dac88301ef6d2e77b8dbc | refs/heads/main | 2023-06-10T17:24:24.720401 | 2021-07-06T22:14:28 | 2021-07-06T22:14:28 | 378,599,776 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 86 | py | import requests
message = requests.get('http://localhost:3000')
print(message.index)
| [
"tsilivisgeo@gmail.com"
] | tsilivisgeo@gmail.com |
bc6beb319e98e7dd3cf482c062f4ddbe5511abb3 | 254eeebbe97996eb9f777669e893544197baef05 | /kmeans-process.py | 4b402130cd99e63a1f2361485f4828f53185b081 | [] | no_license | nayan-paul/spark.examples.project | ad08af8b1b07393244430f8a81a2e24256921ee1 | 8cd3f664b93b6f707b83f6c8eac17576b078ab85 | refs/heads/master | 2020-12-24T12:13:16.551159 | 2016-11-08T16:30:06 | 2016-11-08T16:30:06 | 73,065,600 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,131 | py | import traceback
import numpy as np
from pyspark import SparkContext
from pyspark.mllib.clustering import KMeans
#spark-submit --master local kmeans-process.py
#spark-submit --master yarn-cluster kmeans-process.py
#######################################################################################################... | [
"nayan.j.paul@gmail.com"
] | nayan.j.paul@gmail.com |
ef4cee0358b0d3288bd58b719411d43109da4105 | 34e550cf37833a5ef440758a295074299a1d169a | /alphabets.py | fde292dd09c5897df1c14996a5f09157610feb58 | [] | no_license | Vladkas888/BOT_Encrypt-Decrypt | 986c6f68755204fc0fcbe3a39f1ff1e6879a1e6c | 22dae8d9f029e53578e4257b34ccf763d29a548e | refs/heads/main | 2023-04-08T09:49:00.943155 | 2021-04-25T06:58:26 | 2021-04-25T06:58:26 | 361,358,171 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 365 | py | alphabetrus = ['а', 'б', 'в', 'г', 'д', 'е', 'ё', 'ж', 'з', 'и', 'й',
'к', 'л', 'м', 'н', 'о', 'п', 'р', 'с', 'т', 'у', 'ф',
'х', 'ц', 'ч', 'ш', 'щ', 'ъ', 'ы', 'ь', 'э', 'ю', 'я']
alphabeteng = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm',
'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x... | [
"vovkasyanov888@gmail.com"
] | vovkasyanov888@gmail.com |
ca6c12b375806ebb7dad3c5ec0d86232dea9bc7f | 40d90ca378dac8d8442c4f6a17f24078c974d394 | /Chap_4-7/buffet.py | 557308562342620e0361b9c9310f5c30f909969e | [] | no_license | adamthurtell/crash_course_python | 3465b39ccfff5f3c30180b80aeae9f77ee9db77c | b79482fb0d274913d19bc1cae85262e854940b18 | refs/heads/master | 2021-01-23T03:48:44.335773 | 2017-04-11T12:30:40 | 2017-04-11T12:30:40 | 86,127,639 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 269 | py | # p. 71
foods = ('hoagies', 'grinders', 'navy beans', 'meatloaf sandwich', 'sloppy joes')
for food in foods:
print(food)
print("\n")
foods = ('macaroni & cheese', 'garlic bread', 'navy beans', 'meatloaf sandwich', 'sloppy joes')
for food in foods:
print(food) | [
"adamthurtell@gmail.com"
] | adamthurtell@gmail.com |
b528bfb1f19e47d8bd43f86d689eaa069c15b2e7 | ac34cad5e20b8f46c0b0aa67df829f55ed90dcb6 | /src/assets/ba_data/python/baclassic/_store.py | 8caf49500330f885ef7fe97f84c4efa66d039832 | [
"MIT"
] | permissive | sudo-logic/ballistica | fd3bf54a043717f874b71f4b2ccd551d61c65008 | 9aa73cd20941655e96b0e626017a7395ccb40062 | refs/heads/master | 2023-07-26T19:52:06.113981 | 2023-07-12T21:32:56 | 2023-07-12T21:37:46 | 262,056,617 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 23,317 | py | # Released under the MIT License. See LICENSE for details.
#
"""Store related functionality for classic mode."""
from __future__ import annotations
import logging
from typing import TYPE_CHECKING
import babase
import bascenev1
if TYPE_CHECKING:
from typing import Any
class StoreSubsystem:
"""Wrangles clas... | [
"ericfroemling@gmail.com"
] | ericfroemling@gmail.com |
be55ecd39c7da4b3bf7187af36a296340218d62b | 901081598af761be3539f6cbe1ec003ab42a54fc | /google_cloud.py | bb813b036fa6421fd57f640c94fc9b8241118c26 | [] | no_license | Narukodo/speechrecognition_test | c810f8a12804c8c3961fec2e9fc1f28eb1b788df | 26f9c86091bd4fac22c5e608ff6f514d6313a8b3 | refs/heads/master | 2021-04-08T17:24:05.638849 | 2020-05-22T00:02:14 | 2020-05-22T00:02:14 | 248,794,208 | 0 | 0 | null | 2020-05-22T00:02:15 | 2020-03-20T15:50:21 | Python | UTF-8 | Python | false | false | 1,298 | py | from google.api_core.exceptions import GoogleAPICallError
from google.cloud import speech_v1
from google.cloud.speech_v1 import enums
import speech_recognition as sr
import os
r = sr.Recognizer()
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = './google-cloud-credentials.json'
# completely disregarding uploading a f... | [
"mrnarukodo@gmail.com"
] | mrnarukodo@gmail.com |
b963c51132ab882ce13274a44a7edfca1693899d | db145b61a930b303dc68524849253d712b8af29a | /collateral.py | 89137bf6b38fc3b2e096d03176a5daf582039616 | [] | no_license | Normsome/noms_coh_calculator | 62ae3f7da408067ed35a221f22cd9bba6bd414af | 9543c6b36cd95b1793d78c7f51cb0a7db45874ae | refs/heads/master | 2022-12-21T06:38:24.337384 | 2020-09-19T02:47:00 | 2020-09-19T02:47:00 | 296,771,160 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 441 | py | from coh_chain.globals import init_globals
from coh_chain.powersets import stalker_elec_shield
from coh_chain.attack_chain import AttackChain
if __name__ == "__main__":
init_globals(
mob_count=1,
damage_modifier=1.0,
base_end_recovery=100.0,
base_end_drain=0.52,
to... | [
"norm@DESKTOP-TINRC94.localdomain"
] | norm@DESKTOP-TINRC94.localdomain |
8979a3f0f4e222c2f67089aad5cbdfe4ce15d7a2 | a8dae8f7886ed65ddb401d1c3ac9c7afb6a5daca | /examples/python/pendulum.py | 03b6e57f9abc5815250c7c995ec1b53a77afe3a9 | [
"MIT"
] | permissive | smkyle90/skydy | 833caefcbf8535823b347c7cbab8c0d66e188a00 | c7c24e821b1bd2a2591adfd3bbb35cd98599a07a | refs/heads/main | 2023-06-16T06:14:46.924351 | 2021-07-04T15:06:56 | 2021-07-04T15:06:56 | 376,147,720 | 1 | 0 | MIT | 2021-07-04T15:02:41 | 2021-06-11T21:39:27 | Python | UTF-8 | Python | false | false | 1,100 | py | #!/usr/bin/python3
from skydy.connectors import DOF, Connection, Joint
from skydy.multibody import MultiBody
from skydy.rigidbody import Body, BodyCoordinate, BodyTorque, Ground, GroundCoordinate
l_pen = 2
w_pen = 0
h_pen = 0
pen_name = "1"
# Define the body
b_pen = Body(pen_name)
# Instantiate the pen's dimension... | [
"scott.m.kyle@gmail.com"
] | scott.m.kyle@gmail.com |
8cba0007402b607bc1aaacc14aa0d59e280c678c | c2622bc8b8e856bfd9458380bf4db5b0c8a65b55 | /Understanding_and_Creating_Binary_Classification_NNs/util/paramInitializer.py | f57d1f26d0905de0183cba38507cfaf63662e07a | [
"MIT"
] | permissive | sampathrajapaksha/NothingButNumPy | 58f252f55eed6f912c3b964a7fcb0ee554f50702 | 5cc32a517684c7e68cce44412f7d7c759ecb299e | refs/heads/master | 2023-03-18T00:10:28.783322 | 2020-12-08T17:52:02 | 2020-12-08T17:52:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,251 | py | import numpy as np
def initialize_parameters(n_in, n_out, ini_type='plain'):
"""
Helper function to initialize some form of random weights and Zero biases
Args:
n_in: size of input layer
n_out: size of output/number of neurons
ini_type: set initialization type for weights
... | [
"rafayak16@gmail.com"
] | rafayak16@gmail.com |
545190750e0f798776770b7a707528433112d478 | f4c8291744cf8640d0b169ee62b82f2909945103 | /tasks.py | 9544785f050be2f2695addb7978f0a2d3e185f0f | [] | no_license | raimon49/raimon49.github.io | 4dfc64a6c50efd00f2d9faa2ec5cab10114f1da1 | 50e8efff0b55dd12d5c61bd638092c46eed87426 | refs/heads/source | 2023-08-02T19:28:23.874029 | 2023-07-20T15:17:46 | 2023-07-20T15:17:46 | 26,396,939 | 2 | 1 | null | 2023-07-20T15:18:05 | 2014-11-09T13:48:27 | Python | UTF-8 | Python | false | false | 2,227 | py | # -*- coding: utf-8 -*-
import os
import shutil
import sys
import datetime
from invoke import task
from invoke.util import cd
from pelican.server import ComplexHTTPRequestHandler, RootedHTTPServer
CONFIG = {
# Local path configuration (can be absolute or relative to tasks.py)
'deploy_path': 'output',
# G... | [
"raimon49@hotmail.com"
] | raimon49@hotmail.com |
93a22282cda616f83a604f6a000e6c295705eb3d | c0f364a3607153fbdaf2addef6c6dda09b8a730d | /legacy files/logisothermgenerator.py | 58253e27c9529ea033423102580579de3767ef47 | [] | no_license | jrhmanning/Music_python | ac9496f736048333f81b2b97165d5e815179419f | 158d36f733c0f588136001331e2c2de47deb90af | refs/heads/master | 2020-07-01T05:49:27.464393 | 2019-11-28T11:08:24 | 2019-11-28T11:08:24 | 201,065,821 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,108 | py | #Hi there! I'm a python script who's job it is to automatically generate isotherms for your Music simulations
#I eat Antoine equation parameters (hardcoded in), sorbent chemical names, temperatures in Kelvin, and desired number of isotherm points
#Using these, I determine the saturation pressure of the chemical Species... | [
"noreply@github.com"
] | jrhmanning.noreply@github.com |
d33c3d0bc0f509999dd2ca1132e50bf6291c76f8 | 4ebdc7053d9341ce7ad45f1e859ff86ef1455177 | /52_global.py | e2b5ca2d678a6f222101e9a4cc221547301aa89d | [] | no_license | daikiante/python | 1f4d55e1fd04eef22702b364148b8e1a2beea2d3 | 9d604b8dcd9e3cbe8b4db24ef16c5c969f6f894f | refs/heads/master | 2020-09-17T00:14:24.034179 | 2019-12-02T09:03:25 | 2019-12-02T09:03:25 | 223,928,994 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 480 | py | # global
'''
def関数の中(local)ではglobal変数は使えない。
global変数を使う場合はlocalの中でglobal変数宣言をして使う。
'''
name = 'lohit'
age = 20
def person():
global age
print('my age is',age)
per = 'lohit badiger'
print('my name is',per)
person()
print('global name are',name)
print('global age is',age)
# Exsample
num1 = 1... | [
"daikiante@gmail.com"
] | daikiante@gmail.com |
7253306f66c2fc15c0af49a52781a29628b0bb9f | 8e216c3e3d4e9887d02311c82b2a7a747f0e093a | /py/2021/day2/part1.py | 825d389c41042c1478b9386840563369ceb74fff | [] | no_license | Antetokounpo/Advent-of-Code | 9f07f09a6c08f69db4a8dc3559e354549e4aa215 | 607d5754cdf27f52858214563dccbc23f8f1b5a9 | refs/heads/master | 2023-07-21T19:30:15.845750 | 2023-07-10T01:32:11 | 2023-07-10T01:32:11 | 224,746,966 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 307 | py |
from AOC import read_input
inp = read_input()
inp = inp.splitlines()
horizontal = 0
vertical = 0
for i in inp:
d, j = i.split()
j = int(j)
if d == "forward":
horizontal += j
if d == "down":
vertical += j
if d == "up":
vertical -= j
print(vertical*horizontal) | [
"antor.232@outlook.com"
] | antor.232@outlook.com |
752fa07c2f1d3efcd0ad719baeee8923f78aacde | 3ff803aab74129a0e1daae7beda2ce0b66a31a71 | /baseNLP.py | 76eff8cbc5b13c989232f99460b97df2cfd61400 | [] | no_license | dataScientist11/Machine_Learning_base_NLP | 6e51ee06636c77232122733d3f10ec2a8bb77226 | 216d5f5c9ef0a065efc6dfde8c17a4e0958365d3 | refs/heads/master | 2020-04-06T07:53:10.649866 | 2018-11-16T20:05:09 | 2018-11-16T20:05:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,968 | py | import dask.dataframe as dd
#pip install dask[complete] toolz cloudpickle
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from scipy.stats import norm
from sklearn.preprocessing import StandardScaler
from scipy import stats
import warnings
warnings.filterwarnings('ignore')
import seabor... | [
"jobin@superiordatascience.com"
] | jobin@superiordatascience.com |
988e4a4ea56c347a5b6641d6283315ce241c7248 | 884a128552b5f7e698194de22e4a8b4fd43e5db6 | /setup.py | f89439a6f5392e8b10d0a0504621730a8a2d2e6d | [
"Apache-2.0"
] | permissive | naivenlp/naivenlp-legacy | b3057bdeb54bc54b1df3de8fd3eb5a1af909690b | dbe0d6ac3b422618fe41a763c256077b27f75347 | refs/heads/master | 2022-11-25T11:48:18.411506 | 2020-07-22T08:01:25 | 2020-07-22T08:01:25 | 269,890,191 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,163 | py | import os
import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="naivenlp",
version="0.0.9",
description="NLP toolkit, including tokenization, sequence tagging, etc.",
long_description=long_description,
long_description_content_type="text/mar... | [
"zhouyang.luo@gmail.com"
] | zhouyang.luo@gmail.com |
973a61a26ac84e4e05090648b90766dfa8c7258a | 316f78656f3f574a71c6edbb85c60ec2b1f9324a | /DjangoDataSet/asgi.py | 5fad87e1a2f7099cf790b19e1cfe64bfd9078b40 | [] | no_license | DominiDeliya/DjangoDataSet | bd993317fffa34b846794d27e781470cc1a539e8 | 608abcbf6f0f458c364cb3be6f1fbf11fec8e1e7 | refs/heads/master | 2023-04-21T03:48:55.813873 | 2021-05-12T10:28:53 | 2021-05-12T10:28:53 | 366,677,440 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 403 | py | """
ASGI config for DjangoDataSet 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/3.2/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO... | [
"dominideliyak@gmail.com"
] | dominideliyak@gmail.com |
0178d443f876ef3dd5a2ff3c7f29a1cf4ca8e581 | 477a730f9c1203569cfcbdfaa5063634bd2c0b59 | /models/PropertyAction.py | e08a7b7d6fc07b5c0cb7a761685707157cab9958 | [] | no_license | gkamtzir/HouseApi | b9882ef96cf952ba6cf0faf9fdc199f9ddc26965 | 968945e332aa91c6dc769f8229c18ec79b5267cf | refs/heads/master | 2023-05-12T13:29:20.081413 | 2019-10-28T13:41:38 | 2019-10-28T13:41:38 | 162,980,737 | 0 | 0 | null | 2023-05-01T20:31:43 | 2018-12-24T10:49:02 | Python | UTF-8 | Python | false | false | 1,103 | py | from marshmallow import fields
from flask_marshmallow import Marshmallow
from marshmallow_enum import EnumField
from common.Enumerations import PropertyActionEnum
from models.Shared import db
ma = Marshmallow()
class PropertyAction(db.Model):
__tablename__ = "property_action"
property_id = db.Column(db.Integ... | [
"georgekam96@gmail.com"
] | georgekam96@gmail.com |
dd481a8700e475bd2c82b82241d3ad689f39f95f | 56b60cb4e3dfa065839ce0dce5a50e163a4f9f3a | /api_part/__init__.py | fe26d15ead612aa115e93e6bb3c25e8b71983fcf | [] | no_license | Humbertzhang/DocTrans | 8acdd6634361130cb4f0d960baabd2a28de07332 | 242c0efbdbb660325df0de33910449566148bdb5 | refs/heads/master | 2021-01-20T05:13:58.521265 | 2017-08-31T08:07:11 | 2017-08-31T08:07:11 | 101,422,930 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 70 | py | from ._init_ import __init__content
from .static import static_content | [
"504490160@qq.com"
] | 504490160@qq.com |
abca53737516877bf7175d46be87cc30a14f50a4 | 9f237149a8a832a7a895cc2272e16b5a42f9910c | /doculabs/samon/environment.py | 20c3a873dac3c8c7ba39f33730c7b9abce314d5f | [
"MIT"
] | permissive | doculabs/samon | f629b60e70f17303370b0b5fb106e398d55755b8 | 5211b136a6a9c12272a517b1845fc753a5ab86b7 | refs/heads/master | 2022-12-16T11:03:17.332426 | 2020-09-20T04:17:16 | 2020-09-20T04:17:16 | 274,360,584 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 730 | py | from copy import copy
from doculabs.samon import registry
from doculabs.samon.loaders import BaseLoader
from doculabs.samon.parser import DefaultParser
from doculabs.samon.template import Template
class Environment:
DEFAULT_TEMPLATE_CLASS = Template
def __init__(self, loader: BaseLoader):
self.loade... | [
"lovas.bence@drescher.hu"
] | lovas.bence@drescher.hu |
96709882180daa80d03a5e458f4929c0688d6049 | df24ca71b094021c1e2daf9090b5a397cb001083 | /CuiBono/wsgi.py | 45477762b4698ba53abd5b8618ff1aa15a235c0f | [] | no_license | evanmosseri/CuiBono | ab1e41eed002b8d292633c242118a890c6f5fa1b | c0842094dff4912069f1fd398f1ee41ab6773013 | refs/heads/master | 2021-06-05T15:05:51.973805 | 2016-07-12T23:15:36 | 2016-07-12T23:15:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 67 | py | from tempMain import app
if __name__ == "__main__":
app.run()
| [
"evan.mosseri@gmail.com"
] | evan.mosseri@gmail.com |
8353cc7bb8452e9ef9ae1467ef3f8ec6c9d9f34e | 2a24dba82767419cf7d2269875bf0a297f41580c | /vispy/app/backends/_pyside.py | 00949a4951a577f056a9c62b2874f44b3055f725 | [
"BSD-3-Clause",
"LicenseRef-scancode-public-domain"
] | permissive | shjoshi/vispy | 58b300d23486b7478b786977b3548dd7225de847 | 2f3d169aa60c738467e766c59096f51570483d6f | refs/heads/master | 2020-12-25T12:40:36.545768 | 2014-08-06T22:59:35 | 2014-08-06T22:59:35 | 22,704,584 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 940 | py | # -*- coding: utf-8 -*-
# Copyright (c) 2014, Vispy Development Team.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
""" PySide proxy backend for the qt backend.
"""
import sys
from .. import backends
try:
# Try importing
from PySide import QtGui, QtCore, QtOpenGL # noqa
except E... | [
"almar.klein@gmail.com"
] | almar.klein@gmail.com |
8f35d4c41507b90aebbd6bbc8468424fbc44fcd5 | 93c2418ddae134adea9460d163da50553d511672 | /dl_project/preprocessingfunctions.py | f82fea60bb65a10830a83a48b57525e308328b8f | [] | no_license | kawu/deep_learning_project | 18e585190bccb65a862c93e6ed46cf4c61f6f136 | 4399343a45cc59a96b04c142932e7eb57d5a4183 | refs/heads/master | 2023-03-18T11:30:58.008477 | 2021-02-24T14:08:02 | 2021-02-24T14:08:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,179 | py | from PIL import Image
from PIL import ImageOps
import cv2 as cv2
import numpy as np
import scipy.ndimage as ndi
from scipy.ndimage import center_of_mass
import matplotlib.image as mpimg
###########################################################
# erste Variante des Pre-Processings
###################################... | [
"larissa0898mx.de"
] | larissa0898mx.de |
681146d519c96ab21ee41989174fb88f8eb0d875 | fc7a28107c2b3697917c348252ee987509c3270e | /backend/python/api/ble_frankenware_test.py | 27cf34bc4a9845d0af8a89763e754a29fe8dadd7 | [
"MIT"
] | permissive | fridgeresearch/kitchen | 790ad2dade5b0cd9fd0f4214409e1ee6a570042c | 0bbe864e6418da3bda5b55ceb292763406d149ea | refs/heads/master | 2021-01-20T20:24:35.139232 | 2016-06-25T21:47:24 | 2016-06-25T21:47:24 | 61,166,640 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,180 | py | """
The MIT License (MIT)
Copyright (c) 2016 Jake Lussier (Stanford University)
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use... | [
"jake.t.lussier@gmail.com"
] | jake.t.lussier@gmail.com |
c106337e8afaead4c564ade27ada1238a357d26a | 72dc728b3d2bbcc0bf37db7a6cdb7dbfb1717b0a | /rpicenter/commands/basic.py | 09f92944cc1a8581a7f918d970ce4f450754d116 | [
"MIT"
] | permissive | flipsee/rpicenter | 3a6766510caf04c3d86c4e065b555897a569029b | f73908da96eb0de9d73dfd5e431f1b9ee1e91c0c | refs/heads/master | 2021-01-09T07:03:36.774670 | 2016-12-16T02:28:20 | 2016-12-16T02:28:20 | 65,887,126 | 0 | 0 | null | 2016-08-17T07:46:28 | 2016-08-17T07:46:27 | null | UTF-8 | Python | false | false | 1,583 | py | import logging
from commands import commands
from devices import devices
from rpicenterModel import *
import rpicenter
logger = logging.getLogger("rpicenter.commands.basic")
@commands.register
def list_devices(msg=None):
""" list Devices in RPiCenter"""
#if msg is not None: print("Msg: " + str(msg))
#for ... | [
"kn1ght7id@yahoo.com"
] | kn1ght7id@yahoo.com |
030eb6da27cae4ea65d35f762fb79921dd2c1fb7 | a3fcbcb1360669df5c2fe5d5286950296bafb04b | /ecomapp/migrations/0008_broadcast_email.py | addc6b39e1f037e77db966e940ddd3123110e613 | [] | no_license | Emadfaried-div/new-ecommerce | f5a4165d4a8d7f7215735e86e9617012aa3f04fb | 48842649c82291e2fb7c584b71294202d263962d | refs/heads/master | 2023-05-15T08:50:30.184259 | 2021-06-11T15:49:59 | 2021-06-11T15:49:59 | 355,204,543 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 827 | py | # Generated by Django 3.2 on 2021-05-17 21:34
import ckeditor.fields
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('ecomapp', '0007_faq'),
]
operations = [
migrations.CreateModel(
name='BroadCast_Email',
fields=... | [
"78530477+Emadfaried-div@users.noreply.github.com"
] | 78530477+Emadfaried-div@users.noreply.github.com |
d458b27375d8eadb606441a04abcd9b20947e15f | a832ad52a2ee31006d615ad44d038557a3c13ebf | /Controllers/MenuController.py | 125956f1a638e9a63e7ce98de01e3d78aa28fa2a | [] | no_license | GRTerpstra/Embedded-Systems | 549769e940adca17831c0ce0b7933f247b053fa5 | adfccbbe9578f9d4bb4dec75a25328eaed42f85e | refs/heads/master | 2020-08-13T12:12:29.555010 | 2019-11-18T13:38:54 | 2019-11-18T13:38:54 | 214,966,421 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 153 | py | class MenuController:
def __init__(self, mainModel, menuModel):
self.mainModel = mainModel
self.menuModel = menuModel
return | [
"a.j.witwerts@st.hanze.nl"
] | a.j.witwerts@st.hanze.nl |
737ec987dfe8f44ec60ce95839fb21130c803793 | 2a1a175efc9c482db0e6d96569f92b9583990acc | /eventex/subscriptions/tests/test_view_new.py | 351daeb6ab3b8abda88f2861141510e7c1378d8c | [] | no_license | mazulo/wttd_eventex | 2e97e3724f2b8396b8cc73175d15defd09b4a86b | 691008562d2143cc57c8b4bb5042aa2c1fdc6602 | refs/heads/master | 2021-01-10T07:29:20.343157 | 2016-03-16T18:21:10 | 2016-03-16T18:21:10 | 48,304,195 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,017 | py | from django.core import mail
from django.test import TestCase
from django.shortcuts import resolve_url as r
from eventex.subscriptions.forms import SubscriptionForm
from eventex.subscriptions.models import Subscription
class SubscriptionsNewGet(TestCase):
def setUp(self):
self.resp = self.client.get(r('... | [
"pmazulo@gmail.com"
] | pmazulo@gmail.com |
44e9934e9e2aafd04f6991d39415b44cee2581f8 | d6a1c73104b9f1e3c829d18812e9bf2dd6d535a1 | /main/serializers.py | 11275c8b893ca85e2aeac26ca856e9989492d972 | [] | no_license | koreicnurs/blog_drf | 2623eec6c4d41f564bd2754359823b4d56d4221f | 8c6660fc92387ef9349753aea61e0e500736802a | refs/heads/master | 2022-12-04T13:53:14.184924 | 2020-08-13T14:35:21 | 2020-08-13T14:35:21 | 286,912,496 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 967 | py | from rest_framework import serializers
from main.models import Post, Category
class CategorySerializer(serializers.ModelSerializer):
class Meta:
model = Category
fields = '__all__'
class PostSerializer(serializers.ModelSerializer):
category = CategorySerializer()
author = serializers.Em... | [
"koreicnurs@gmail.com"
] | koreicnurs@gmail.com |
327bf3ff951ee285a77e0a2dfa30a0a852ac1426 | cceb97ce3d74ac17090786bc65f7ed30e37ad929 | /server/newfirst/migrations/0005_auto_20201024_0316.py | baaa7f017786874e8c0a9b6e7a9c50db448d3ef2 | [] | no_license | Catxiaobai/project | b47310efe498421cde794e289b4e753d843c8e40 | 76e346f69261433ccd146a3cbfa92b4e3864d916 | refs/heads/master | 2023-01-08T04:37:59.232492 | 2020-11-10T12:00:34 | 2020-11-10T12:00:34 | 291,014,545 | 1 | 4 | null | 2020-11-09T01:22:11 | 2020-08-28T10:08:16 | Python | UTF-8 | Python | false | false | 424 | py | # Generated by Django 3.1.1 on 2020-10-23 19:16
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('newfirst', '0004_scenes'),
]
operations = [
migrations.RemoveField(
model_name='item',
name='item_date',
),
... | [
"2378960008@qq.com"
] | 2378960008@qq.com |
a7674052427235928b433b28c816bb74d1b1557b | 831a23e731a2e9afcd7469e80cd8145c03ed8ddb | /[OPMan]/Seasonals [TV]/2008-1 - Winter/[a5406] Ookami to Koushinryou/SWBD_NCED1.py | e65fcb7231770e400c8470d02e1327da07e30a1c | [
"MIT"
] | permissive | LightArrowsEXE/Encoding-Projects | d1edf910de8ded679a1874dc7aba7bac7c75c3f5 | fc9ea0d15bffa5a53719ad587b5591cbd28812ce | refs/heads/master | 2023-04-06T08:11:37.210381 | 2023-03-28T17:44:19 | 2023-03-28T17:44:19 | 167,544,468 | 77 | 14 | MIT | 2022-06-26T14:21:15 | 2019-01-25T12:31:36 | Python | UTF-8 | Python | false | false | 5,596 | py | import os
from pathlib import Path
from typing import Any, Dict, List, Tuple, Union
import vapoursynth as vs
from lvsfunc.misc import source
from lvsfunc.types import Range
from vardautomation import FileInfo, PresetBD, PresetFLAC, VPath
from project_module import enc, flt
core = vs.core
shader_file = 'assets/FSRC... | [
"Lightarrowsreboot@gmail.com"
] | Lightarrowsreboot@gmail.com |
91db8116494945ac4447f2c14fec8b83a4d5f470 | 66d184a2b36ab1db564305ea36be891aaf0e236b | /py/Python_Crash_Course/project2/two_d8.py | 52743e7fbb2329663e1615be5f979d1fb0082ff0 | [] | no_license | joyDDT/python_code | bef57936a1167fa65e28b6c52ab7857b34dc74a8 | 3aae56c51660579a4eaaa087ac2459c9bf2f2e23 | refs/heads/master | 2021-10-30T10:22:21.328633 | 2019-04-26T04:45:01 | 2019-04-26T04:45:01 | 112,004,435 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 704 | py | import pygal
from die import Die
#创建两个个D8
die_1 = Die(8)
die_2 = Die(8)
#投掷色子多次，并将结果储存在一个列表中
results = [ ]
for roll_num in range(1000):
result = die_1.roll( ) + die_2.roll( )
results.append(result)
#结果分析
frequencies = [ ]
max_num = die_1.num_sides + die_2.num_sides
for value in range(2, max_num+1):
frequ... | [
"15894500833@163.com"
] | 15894500833@163.com |
5bfe3d1f77f682918b308d34e6672e738b9adc16 | 7b2bd8923a175aa8c1e71fd52447a710aff38949 | /archive/book/main.py | 53da229f935c7f0a312772d52d1c5a3fdcd8c36a | [] | no_license | thomplth/hash-code-2021 | dfa7190af38f4f19e8d62525b544c1712eba2bc2 | a2b397fac4df9077d8111f2ee7f76df05579a9b9 | refs/heads/main | 2023-03-12T04:32:52.032830 | 2021-03-01T19:08:36 | 2021-03-01T19:08:36 | 332,442,534 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,071 | py | """
dataset_format = {
"nbook" : int, // number of books
"nlib": int, // number of librarys
"nday": in // number of day allowed
"lib": // list of dict of libraries and books data
[
{
"index": int //original index of the library
"books": list<int>, /... | [
"29663345+thomplth@users.noreply.github.com"
] | 29663345+thomplth@users.noreply.github.com |
05f3cbf560213a1004237cd81daf92637628f3b9 | 6fcfb638fa725b6d21083ec54e3609fc1b287d9e | /python/panpanpandas_ultrafinance/ultrafinance-master/deprecated/example/usTradingStrategy.py | ed1e6d309c7080a44956603b6c80661f73986aa1 | [] | no_license | LiuFang816/SALSTM_py_data | 6db258e51858aeff14af38898fef715b46980ac1 | d494b3041069d377d6a7a9c296a14334f2fa5acc | refs/heads/master | 2022-12-25T06:39:52.222097 | 2019-12-12T08:49:07 | 2019-12-12T08:49:07 | 227,546,525 | 10 | 7 | null | 2022-12-19T02:53:01 | 2019-12-12T07:29:39 | Python | UTF-8 | Python | false | false | 216 | py | '''
Created on July 17, 2010
@author: ppa
'''
from ultrafinance.processChain.processChain import runProcessChain
if __name__ == '__main__':
configFile1 = 'usTradingStrategy.ini'
runProcessChain(configFile1) | [
"659338505@qq.com"
] | 659338505@qq.com |
4b020a78c06ed68c6022b0436f48c8ddb6233754 | 763c29a65335a25ce0017a8470a3f2968eadd51e | /apps/users/migrations/0001_initial.py | 4ebeb7e0ad7cdf60ff5de832cc794de6d8c606c1 | [] | no_license | simon-martineau/portfolio-api | 2b58ba0edd67d7905ec479145b8ce02548449d3f | d6eea8a917962d96059946a069eeee0656e7be88 | refs/heads/main | 2023-03-08T23:00:19.042853 | 2021-03-02T21:40:43 | 2021-03-02T21:40:43 | 342,440,084 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,649 | py | # Generated by Django 3.1.7 on 2021-02-25 03:23
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0012_alter_user_first_name_max_length'),
]
operations = [
migrations.CreateModel(
name='User',
... | [
"simon.martineau.3@ulaval.ca"
] | simon.martineau.3@ulaval.ca |
cea465796b8fce53c1a8fcb1e94b6c554c15aa25 | 84c7873c296c4c06038eaf0ee842987014d791d8 | /alumnos/57089-agustin-aguero/clases/clase1/ejercitacion1.py | 41270055a67c902edb17b1e12db68d385a211c8e | [] | no_license | agustinaguero97/lab | 0c2338456ef367c3a0d066c61f89dfb3b944e271 | 436e4303ddcd3cba433ac08f14b37a72ec0a7fad | refs/heads/main | 2021-11-27T20:20:00.380362 | 2021-08-19T03:01:31 | 2021-08-19T03:01:31 | 348,434,234 | 0 | 0 | null | 2021-03-16T17:24:55 | 2021-03-16T17:24:54 | null | UTF-8 | Python | false | false | 609 | py |
"""
1 - realize un programa que lea todos los datos ingresados desde stdin,
e invierta el orden de las letras en cada palabra, enviandolo a stdout.
Ejemplo de funcionamiento
# echo -e "hola mundo \n nos vemos" | ./invierte.py
aloh odnum
son somev
"""
#!/usr/bin/python3
import sys
while True:
stdin_file... | [
"agustin1997aguero@gmail.com"
] | agustin1997aguero@gmail.com |
d867b62b99227ba02054237442fe629f1f9f3a34 | bf8d984a6bd87dc047d4d0566f505fefd5eb93d5 | /acedview/wsgi.py | 53f71dc2ac560702ea9e25c54ec33309109d5c30 | [] | no_license | abhilasha1996/MyApp | 93386f3d8e2e45be25fbfabf1ec7c267569c2a61 | 7a01c262a7f43a41415c882aca10fd621c93aed4 | refs/heads/master | 2021-01-19T14:12:58.175049 | 2017-08-20T20:12:28 | 2017-08-20T20:12:28 | 100,885,990 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 394 | py | """
WSGI config for acedview project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SET... | [
"abhilashasethi1996@gmail.com"
] | abhilashasethi1996@gmail.com |
6445f3a26e78e27b3d6a4ab25b04ae736c139d9a | 3c6447fb440f8331a83a09064983fad473ab6d68 | /src/train_rDL_SiS_Model.py | a8c4da38c618f7cd9866ba0a89747058d0910361 | [
"MIT"
] | permissive | qc17-THU/rDL-SIM | 7366cfbafe614a3ce402933d5bca98b4387d0c00 | 8d370cd853c492e9173036cbdb2490e3d5dabcb3 | refs/heads/main | 2023-03-16T11:31:25.693791 | 2022-10-08T12:55:24 | 2022-10-08T12:55:24 | 541,160,709 | 21 | 3 | null | null | null | null | UTF-8 | Python | false | false | 9,224 | py | import os
import argparse
import glob
import numpy as np
import datetime
import tifffile as tiff
import tensorflow as tf
from models import *
from tensorflow.keras import optimizers
from utils.utils import ReduceLROnPlateau, prctile_norm
from utils.loss import mse_gar
# -----------------------------------------------... | [
"noreply@github.com"
] | qc17-THU.noreply@github.com |
b113e7e6e71c42480977c18e82a7bf4d3ecbfc8a | 2e10314f0a6a32cbfdce6b80c7767b84de421741 | /精品真题/精品-one.py | e2135999ef9f92009ca10a79d4df38384cd13fdb | [] | no_license | tang1323/Ing_Interview | 06a9cb19c932b2852dd55655b0d46b814ffa9095 | a1068d3739d2088a2edcf8314e18659e0e9003f8 | refs/heads/master | 2023-04-06T14:17:37.757618 | 2021-04-14T14:14:01 | 2021-04-14T14:14:01 | 357,929,558 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,093 | py |
# def add_Run(L=None):
# if L is None:
# L = []
# L.append('Run')
# return L
# add_Run()
# add_Run()
# print(add_Run(['Lying']))
# ds = {'av':2, 'vr':4, 'ls':9, 'path':6}
# print(ds.popitem(), len(ds))
# with open('D:/Py-Project/Ing_Interview/精品真题/txt/a', 'r') as f:
# print(f.read().split(... | [
"1171242903@qq.com"
] | 1171242903@qq.com |
46183352278dccebb8b04ef8a8ad9433ab6dc02c | 0be31b914365fd06d201f3d2a3f10863805678e9 | /MachineLearnn/venv/LogisticRegression.py | 54a7fecc1b9e7e64df6a8cb2cff3136af1da2a66 | [] | no_license | huanchilin/MachineLearning | aa682e47a6803ad3cf5dd772972a5ba62c841718 | 48c091f3dbb2cfaaea26d78eeaf3288396d9be53 | refs/heads/main | 2023-03-29T11:57:49.377194 | 2021-04-11T09:21:56 | 2021-04-11T09:21:56 | 356,818,661 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,522 | py | import numpy as np
from sklearn.linear_model import LogisticRegression
from exam import hours_studied_scaled, passed_exam, exam_features_scaled_train,\
exam_features_scaled_test, passed_exam_2_train, passed_exam_2_test, guessed_hours_scaled
# Create and fit logistic regression model here
model = LogisticRegression... | [
"noreply@github.com"
] | huanchilin.noreply@github.com |
3768f45c0c9890b403aa36c2f3d6a85d1d0ae4fb | 02c7f9eb8cb9cd58aa9f37221d0de56c8fe91a90 | /src/ques_gen_model/reinforce_evaluate.py | c9d94d1a20b780e1ab52878f8c695f062a60b3f0 | [] | no_license | pajenterprise/style_clarification_question_generation | 71c89eacae1e3b65f0f2414999a44ebd4049992c | e0ef9e015e77d497d93f657147473c83b17eded1 | refs/heads/master | 2020-12-11T16:28:51.044964 | 2019-05-02T21:46:55 | 2019-05-02T21:46:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,330 | py | from .constants import *
from .helper import *
from ques_gen_model.helper import *
import numpy as np
import torch
from torch.autograd import Variable
def evaluate_relevance(context_model, question_model, relevance_model, c, cl, q, ql, args):
with torch.no_grad():
context_model.eval()
question_mod... | [
"sudhra@microsoft.com"
] | sudhra@microsoft.com |
b7044b5e11a30bb0ed1d82430f08f2377f6f5145 | 9bb93695591f5792357f8740202dca3bfc331b5f | /latex/code/rejectionsample.py | 3df3227cf0689b6fc5b42206f4db5de80abfd389 | [
"LicenseRef-scancode-generic-cla",
"Apache-2.0"
] | permissive | ciphergoth/sansreplace | 7e2c153b5c567624417c99f36a87f15ed63ecb93 | ae01be85ea5d164d6616209c2bc6efe97cacd606 | refs/heads/master | 2023-01-10T18:20:38.893389 | 2023-01-09T00:06:16 | 2023-01-09T00:23:20 | 153,832,473 | 13 | 0 | null | null | null | null | UTF-8 | Python | false | false | 185 | py | def random_choose(n, k):
d = []
r = set()
while len(d) < k:
x = random.randrange(n)
if x not in r:
d.append(x)
r.add(x)
return d
| [
"paulcrowley@google.com"
] | paulcrowley@google.com |
ae8370a890bcf5fce614f8df6b15ff1cb153f540 | e48a5534277cabce9ab6c02c2247a7af7ae1a298 | /apprest/tests/views/test_users.py | c40855638809b0d25a81fdfcbf8e51235f09f375 | [
"MIT"
] | permissive | dsanchez-cells/calipsoplus-backend | 671a1dbe27a0919c9478be3bd819320a23781f31 | a199bc5af4e636fe95e82444b4471519820409ae | refs/heads/master | 2020-04-17T22:54:16.057899 | 2019-01-22T14:46:54 | 2019-01-22T14:46:54 | 166,428,164 | 0 | 0 | MIT | 2019-01-18T15:42:13 | 2019-01-18T15:42:13 | null | UTF-8 | Python | false | false | 2,573 | py | from django.contrib.auth.models import User
import logging
from rest_framework import status
from rest_framework.utils import json
from apprest.tests.utils import CalipsoTestCase
logger = logging.getLogger(__name__)
class UserViewsTestCase(CalipsoTestCase):
logger = logging.getLogger(__name__)
def setUp... | [
"acampsm@cells.es"
] | acampsm@cells.es |
b203bcc7a5daf7db43e5600f125c31d1404bb997 | 0a1db233b58fd4c12325447ea5783130a4760124 | /src/lightSource.py | 2f6a7e55af5bb209c659236f5391fc886e91eb48 | [] | no_license | anthonykawa/Intro-Python-II | 9bf936c47448dd1cc859f1d7b11f55bda5db4275 | 8e2bd7e4b10c2a5bd42fd34f74cb61567a5a6168 | refs/heads/master | 2022-11-17T08:39:43.721551 | 2020-07-15T16:55:29 | 2020-07-15T16:55:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 134 | py | from item import Item
class LightSource(Item):
def __init__(self, name, description):
super().__init__(name, description) | [
"anthonyk2020@gmail.com"
] | anthonyk2020@gmail.com |
beebb21a85bdef1dce90ba8d97d52f96682ff140 | 4979596576baa5b9306664d418f4a20b486d9fc9 | /src/movies/migrations/0012_movie_number_of_views.py | 13f1482e00980d0b684869bdce1103ff27ba8a13 | [] | no_license | AleksandarFa/pocket-imdb-backend | 23b6fad944831d8d70f82bff3c0030c1ae64fd92 | 6315dfddcf896fcf8348e456b27b9a2e71540f86 | refs/heads/master | 2023-05-12T12:20:03.967050 | 2021-06-04T09:15:47 | 2021-06-04T09:15:47 | 368,444,715 | 0 | 0 | null | 2021-06-04T09:15:48 | 2021-05-18T07:48:19 | Python | UTF-8 | Python | false | false | 390 | py | # Generated by Django 3.1.7 on 2021-05-26 08:31
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('movies', '0011_auto_20210525_0954'),
]
operations = [
migrations.AddField(
model_name='movie',
name='number_of_views... | [
"aleksandar.fa@vivifyideas.com"
] | aleksandar.fa@vivifyideas.com |
d5ee690578c3bfc570f357bece4bc75e99aa569d | 45860b4c7a289f053d22a7638608703634cb66b9 | /main.py | 8cb045cec686070f1feaf1ad86e30a81643da157 | [] | no_license | ksesalebangim/camera | 407a62ed04723e8386bc60006fed90764d913d9b | b99acd0969179df1aa89da4c21e02bf49c4b175c | refs/heads/master | 2022-01-06T17:52:16.643711 | 2019-06-03T13:10:31 | 2019-06-03T13:10:31 | 114,571,430 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,667 | py | from flask import Flask
import io
import base64
from PIL import Image
import time
import glob
import subprocess
dropboxInLocation = ""
dropboxOutLocation = ""
printerMac = ""
app = Flask(__name__,static_folder='public', static_url_path='/public')
def getCamImage():
return Image.open("/home/ben/1.jpg")
#TODO:add p... | [
"ben.feher@cyiot.net"
] | ben.feher@cyiot.net |
f4b489d712dd7cfe2283e05c6c133a882fdcbb32 | 8be9ae66465536f343ab4f86a5c90b27de8f5fc7 | /until/readConfig.py | e665622847576ce1f4dfea813f15670de90a94e2 | [] | no_license | obj1/autotest | 3db6d8dbcca0ae8979557f654fbc18bd9f911498 | 4a962cf88b877fd633a07103fa17cef16758a664 | refs/heads/master | 2023-03-12T21:58:26.157960 | 2021-02-24T07:40:17 | 2021-02-24T07:40:17 | 339,034,246 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,135 | py | '''1.读取配置文件
2.项目下所有文件的相对路径
'''
import yaml,os
# 1.读取配置文件
class YamlRead:
def __init__(self,yamlPath):
'''如果是第一次调用，读取yaml文件，否则直接返回之前保存的数据'''
if os.path.exists(yamlPath):
self.yamlPath=yamlPath
else:
raise FileNotFoundError('yaml文件不存在')
self._data=None #保存y... | [
"1364283713@qq.com"
] | 1364283713@qq.com |
5a2d36688d95ca553c9c799a2e0ad167f48d382e | 1a626613c7d3be8cf4db765d4c9f1c5de138a9ab | /execicio3.py | 78077643e177e49500d158e1dca95b7aae61024b | [] | no_license | leonardo111003/Infosatc-lp-avaliativo-02 | c629c5621e436b008bb2f552907ddc280c833b17 | 28a2e1fdffefd0a4e0560c41149bb44dcafe3d38 | refs/heads/master | 2022-12-22T19:33:47.703641 | 2020-09-30T20:05:04 | 2020-09-30T20:05:04 | 293,796,707 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 49 | py | lista = [ 5 , 1 , 4 , 3 ]
print ( sum ( lista )) | [
"leocatra123@hotmail.com"
] | leocatra123@hotmail.com |
73a0f05630281ebbc6d8ccf164f1b66426de58d4 | 4fe3fae28227272ddbe18009f8a0b08436bc8308 | /ProblemSolving/Staircase/Solution.py | 1581513ae436ef159be7619a8165d825abd89cf9 | [] | no_license | alexhong2020/HackerRank | 4ec4ce82b6e72efce2fb206cb14f27b712773946 | e900f204703388e87f0816cb1dfb88dc4bdc69a4 | refs/heads/main | 2023-05-12T21:34:37.209476 | 2021-05-28T20:59:01 | 2021-05-28T20:59:01 | 364,686,150 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 471 | py | #!/bin/python3
import math
import os
import random
import re
import sys
#
# Complete the 'staircase' function below.
#
# The function accepts INTEGER n as parameter.
#
def staircase(n):
# Write your code here
for i in range(1, n+1):
for j in range(0, n - i):
print(" ", end="")
for... | [
"alexhong2020@gmail.com"
] | alexhong2020@gmail.com |
65be7aa9587f2f337ee74a04b8fb020b199fa90b | ded2e06b4cd01bbdb1db1fe553c1f62e0a70376a | /py_action_pkg/py_action_pkg/maze_action_client.py | 36e29d8286114201167c42ed44f67d6ffe869edc | [] | no_license | maxpark/gcamp_ros2_basic | b716a457f8ae8da90ee51196306877bb2e26362e | 67fd8d2ba83cc683402bb374c0a11e4c2cd7fa76 | refs/heads/main | 2023-07-18T03:52:45.620235 | 2021-09-11T07:49:08 | 2021-09-11T07:49:08 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,033 | py | #!/usr/bin/env/ python3
#
# Copyright 2021 Seoul Business Agency 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... | [
"tge1375@naver.com"
] | tge1375@naver.com |
02533cd4d4d9f6d1ef621cfbd2a2b01cbc88a02b | 42d88f2cef9f919328ca7576a4b87d4a6b31c56b | /hw7_release/util.py | d9ab309351418ab8684d1db8c24a8d2d4629aa19 | [] | no_license | zx563147474/standford-CS131 | a0a041b97b21f15c37c9f456ac1e6db89a7e9445 | eb3c436253749201d07511e725deda7c63a15649 | refs/heads/master | 2023-01-29T05:31:40.296839 | 2020-12-03T05:30:58 | 2020-12-03T05:30:58 | 311,215,221 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,767 | py | import numpy as np
from detection import *
from skimage.transform import rescale, resize, downscale_local_mean
from skimage.filters import gaussian
# def read_face_labels(image_paths):
# label_path = "list_bbox_celeba.txt"
# n_images = len(image_paths)
# f = open(label_path, "r")
# f.readline()
# f... | [
"zx563147474@gmail.com"
] | zx563147474@gmail.com |
33ec3d2938d023c2ff70848a180de6d531405866 | 34253092df18677cd616bb984c96b412781c3e93 | /solve.py | d5fdf6d7f416e173c531ea6b62ce10d6672c3e3c | [
"BSD-2-Clause"
] | permissive | lacop/BubbleSolver | 003b20957f376f9537448e1165b0b07e398e9493 | 2e31a83b87a537af4fc5ddc3610100d63043d8ec | refs/heads/master | 2020-06-06T11:15:01.693088 | 2014-08-06T18:38:18 | 2014-08-06T18:38:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,577 | py | import memo
# 1: blue, 2: yellow, 3: green, 4: red
next = {'1': '2', '2': '3', '3': '4', '4': '.'}
def solve(level, width, moves):
#print('solve', level, moves)
if moves == 0:
# Test for empty board
for c in level:
if c != '.':
return None
return []
... | [
"lacop@lacop.net"
] | lacop@lacop.net |
697dbd3b72ffe02a00fcfbaa0642539839c37fc2 | c74b417bc9c9e036045051139a798841b94831b9 | /tests/features/terrain/html/offsite_page.py | aeca5690595f8e7d07eb2395b80387e6c61b7af3 | [] | no_license | pculture/unisubs-testing | ea2406389b1a91da1615de02093442288e6b7a19 | 0fc5a398d9c9448d5a9d6dd1a315740b341ed3bf | refs/heads/master | 2020-05-17T15:07:10.269386 | 2012-07-20T04:58:34 | 2012-07-20T04:58:34 | 729,217 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,640 | py | #!/usr/bin/env python
from unisubs_page import UnisubsPage
class OffsitePage(UnisubsPage):
"""Main page for all offsite testing to drive playback and menus.
"""
_CAPTIONS = "span.unisubs-captionSpan"
_WIDGET_MENU = "span.unisubs-tabTextchoose"
def start_playback(self, video_position):
... | [
"jed@pculture"
] | jed@pculture |
acf787541822adce48bbe0cfee1ec25c650fcc59 | 1ed96881640ecc5a7fbeda14611512ae890d7f6d | /team12.py | e5fed2c18c0715bb93f978719970839cba2b0cdc | [] | no_license | CSP-WHSPeriod2/iterative-prisoners-dilemma | 387eece5101c7a9932db1715c2618d131d2c091e | 646f4c463b8af0d3b905bc198266fa94b14d92d5 | refs/heads/master | 2020-03-31T22:33:03.398285 | 2018-10-18T19:44:32 | 2018-10-18T19:44:32 | 152,622,380 | 0 | 30 | null | 2018-10-18T17:00:49 | 2018-10-11T16:26:53 | Python | UTF-8 | Python | false | false | 1,944 | py | ####
# Each team's file must define four tokens:
# team_name: a string
# strategy_name: a string
# strategy_description: a string
# move: A function that returns 'c' or 'b'
####
team_name = 'team_IslandRoyale' # Only 10 chars displayed.
strategy_name = 'Check for majority'
strategy_descriptio... | [
"noreply@github.com"
] | CSP-WHSPeriod2.noreply@github.com |
7ada0a9c9a71e609284946d53a7496cb678e7804 | f839e5533e23380df02778378dafe0df674a60c9 | /sphinx_rosmsgs/__init__.py | d5dd32c573f72aa1fae119c7b2b17a07553bd39c | [] | no_license | MatteoRagni/sphinx_rosmsgs | cd332cafa2815b5eb6490b8527f2cc060ed20488 | 8b30cfe779ece3c97e67dfdbd9f0fd4b61d40f66 | refs/heads/master | 2022-04-28T16:44:50.918822 | 2020-04-28T12:25:05 | 2020-04-28T12:25:05 | 259,610,124 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,096 | py | from sphinx_rosmsgs.__version__ import __version__
from sphinx_rosmsgs.message_directive import MessageDirective
from sphinx_rosmsgs.message_indexer import MessageIndexer
def on_config_inited(app, *args):
r"""
The event is used to collect the user configuration and register
a global message indexe... | [
"matteo.ragni.it@gmail.com"
] | matteo.ragni.it@gmail.com |
8799587af23d45f613e72c763c6650d93bba8f46 | ecee6e84ba18100b621c7e06f493ae48e44a34fe | /devel/lib/python2.7/dist-packages/costmap_2d/cfg/VoxelPluginConfig.py | ca382f3ac25f62dda8cec625bd10f2ab8217430e | [] | no_license | theleastinterestingcoder/Thesis | 6d59e06b16cbe1588a6454689248c88867de2094 | 3f6945f03a58f0eff105fe879401a7f1df6f0166 | refs/heads/master | 2016-09-05T15:30:26.501946 | 2015-05-11T14:34:15 | 2015-05-11T14:34:15 | 31,631,628 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,597 | py | ## *********************************************************
##
## File autogenerated for the costmap_2d package
## by the dynamic_reconfigure package.
## Please do not edit.
##
## ********************************************************/
from dynamic_reconfigure.encoding import extract_params
inf = float('inf')
... | [
"quanzhou64@gmail.com"
] | quanzhou64@gmail.com |
e330b2c4ec0d709e389aa70c7b230a248e40cdff | 500b03fa6cb776c1d51db4a3a3aa252ddf5a50e6 | /book_exercise/py_intro/basics/Chapter 3: Numbers/name_random.py | f71fc4d460bda5325b87858fc9109a256951f46c | [] | no_license | carloslvm/learning-python | b3796a0a5b751baae8c551a9f6fe262f98980691 | 07f885454cf21b7d215a58da7fcb907715e546bd | refs/heads/master | 2022-07-27T21:39:11.937801 | 2022-07-09T17:47:56 | 2022-07-09T17:47:56 | 163,447,616 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 166 | py | #!/usr/bin/python3
# Printing a name randomly between 1 and 10.
from random import randint
for name in range(randint(1, 10)+ 1):
name = 'David'
print(name)
| [
"cvaldez553@gmail.com"
] | cvaldez553@gmail.com |
af77dd42ce1cca29d442ec4fcf465c879a990a29 | 3bb5f04a697143f0b64b36c5928ba34a0ee83597 | /searchalgorithms/binarysearch.py | f83b198a5f2b2c269e7fd0b5c312219f6f714ae6 | [] | no_license | abhisheksaxena1998/DataStructures-Algorithms-Python | 0ed5f74a8e6ff4f864c5d6cbe68fb5d76cfb44f6 | 318b042b5ca14dd0b251d762c61765f06cede89e | refs/heads/master | 2022-12-19T19:19:00.725383 | 2020-10-01T05:32:09 | 2020-10-01T05:32:09 | 300,156,985 | 2 | 0 | null | 2020-10-01T05:31:16 | 2020-10-01T05:31:15 | null | UTF-8 | Python | false | false | 523 | py | ''' Key Points
Binary Search is only applied on sorted array
Time Complexity O(logn)
T(n) = T(n/2) + 1
'''
def binSearch(arr,key,left,right):
if left > right:
return -1
mid = (left + right) // 2
if arr[mid]==key:
return mid
elif arr[mid] < key:
return binSearch(arr,key,mid+1,righ... | [
"princegaur1998@gmail.com"
] | princegaur1998@gmail.com |
9ca0718f800bb4b6ae81f84aeac29ecbf4a10ee1 | 2a73bb7d1ff60a778fea56918af93932a1406c2a | /tests/data_loader/tests_data_filter.py | baddd7e518b64025f54b8d00118de8b4b41fbfb5 | [
"MIT"
] | permissive | usert5432/slice_lid | 0b7acc6ced17bb13092ea74551a26658cbce23f0 | 731eda41364aa0b4f292fe60ee6577b95b9c6752 | refs/heads/master | 2023-01-13T03:05:11.843510 | 2020-11-20T20:32:12 | 2020-11-20T20:35:25 | 272,578,796 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,480 | py | """Test `IDataLoader` data filtering by a `DataFilter` decorator"""
import unittest
from lstm_ee.data.data_loader.dict_loader import DictLoader
from slice_lid.data.data_loader.data_filter import DataFilter
from .tests_data_loader_base import FuncsDataLoaderBase
class TestsDataFilter(unittest.TestCase, FuncsDataLo... | [
"torbu001@umn.edu"
] | torbu001@umn.edu |
819c11fb2ff6e9bbda0cb03380c26525458095b7 | ac5e52a3fc52dde58d208746cddabef2e378119e | /exps-gsn-edf/gsn-edf_ut=2.5_rd=0.8_rw=0.04_rn=4_u=0.075-0.35_p=harmonic-2/sched=RUN_trial=35/sched.py | a3b742d5b6b87242902b200cb99b1c50add5a6e7 | [] | no_license | ricardobtxr/experiment-scripts | 1e2abfcd94fb0ef5a56c5d7dffddfe814752eef1 | 7bcebff7ac2f2822423f211f1162cd017a18babb | refs/heads/master | 2023-04-09T02:37:41.466794 | 2021-04-25T03:27:16 | 2021-04-25T03:27:16 | 358,926,457 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 267 | py | -X FMLP -Q 0 -L 3 120 400
-X FMLP -Q 0 -L 3 93 400
-X FMLP -Q 0 -L 3 80 400
-X FMLP -Q 1 -L 2 73 400
-X FMLP -Q 1 -L 2 63 250
-X FMLP -Q 2 -L 1 55 200
-X FMLP -Q 2 -L 1 45 400
-X FMLP -Q 3 -L 1 35 125
-X FMLP -Q 3 -L 1 35 150
22 100
21 100
| [
"ricardo.btxr@gmail.com"
] | ricardo.btxr@gmail.com |
491c9aea69c437d575dd966a6e72e1d9b9ab14f3 | 1436f58d5673dba004371fceb5e90af53e64d26e | /errors_life_long.py | e35d1af4c66699e192c1ee65077180a6bc6f8b28 | [
"MIT"
] | permissive | mfkiwl/uav-autonomous-landing | 8bf9d45dcacbb0ae1cb070319cb596f77f047167 | 555aae11046b85b1cae20a91c49580771470f5e1 | refs/heads/master | 2022-04-05T16:58:09.555100 | 2020-03-02T11:22:13 | 2020-03-02T11:22:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,442 | py | import matplotlib
import matplotlib.pyplot as plt
import pandas as pd
import os
import sys
import itertools
import statistics as st
DPI = 5000
###########################################################################################
input_dir = "/home/pablo/ws/log/errors"
print("Reading from", input_dir)
#######... | [
"pablorpalafox@gmail.com"
] | pablorpalafox@gmail.com |
917db0f72decd79edcafec2875bee0865c643e64 | 26d6c34df00a229dc85ad7326de6cb5672be7acc | /msgraph-cli-extensions/v1_0/identitydirmgt_v1_0/azext_identitydirmgt_v1_0/vendored_sdks/identitydirmgt/aio/_identity_directory_management.py | 8f6baa89e013ef5e2e83f0e742393afc730fc7cf | [
"MIT"
] | permissive | BrianTJackett/msgraph-cli | 87f92471f68f85e44872939d876b9ff5f0ae6b2c | 78a4b1c73a23b85c070fed2fbca93758733f620e | refs/heads/main | 2023-06-23T21:31:53.306655 | 2021-07-09T07:58:56 | 2021-07-09T07:58:56 | 386,993,555 | 0 | 0 | NOASSERTION | 2021-07-17T16:56:05 | 2021-07-17T16:56:05 | null | UTF-8 | Python | false | false | 9,603 | 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 may ... | [
"japhethobalak@gmail.com"
] | japhethobalak@gmail.com |
cdbdb1570651243d1a2166dee11b37fe1b42826e | 4f0437097dc18ea19c1b9fbd2671f6296158b429 | /etl.py | 10832390832cca9829f3286431f65630e7fb26ae | [
"MIT"
] | permissive | keyanyang/udacity-data-engineering-capstone | e915da5205a6697ef07fd392743b1595589655c3 | 457ead73c99220002f1555b4d3916df9f8f89c3c | refs/heads/main | 2023-02-15T09:10:26.558118 | 2021-01-15T17:42:27 | 2021-01-15T17:42:27 | 328,462,841 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,323 | py | import pandas as pd
import os
from dotenv import load_dotenv, find_dotenv
from src.utility import *
from src.data_model import *
# load environment variables
load_dotenv(find_dotenv())
DATABASE_URL = os.getenv("DB_URL")
def main():
"""
- Load data from different sources
- Process Spark Dataframes
... | [
"kxy156@case.edu"
] | kxy156@case.edu |
fc80dafb1d1d6e219b60357d8bd2a5f407c26ca4 | 228ebc9fb20f25dd3ed2a6959aac41fd31314e64 | /google/cloud/aiplatform_v1beta1/types/index.py | 289ef763b8977f8503af013acbc9cfaa2abd7f63 | [
"Apache-2.0"
] | permissive | orionnye/python-aiplatform | 746e3df0c75025582af38223829faeb2656dc653 | e3ea683bf754832340853a15bdb0a0662500a70f | refs/heads/main | 2023-08-03T06:14:50.689185 | 2021-09-24T03:24:14 | 2021-09-24T03:24:14 | 410,091,957 | 1 | 0 | Apache-2.0 | 2021-09-24T20:21:01 | 2021-09-24T20:21:00 | null | UTF-8 | Python | false | false | 5,038 | py | # -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | [
"noreply@github.com"
] | orionnye.noreply@github.com |
0fbd59a2bd71646db731adef431c5bf3708e5a7e | 612f8c06db1660fb364adcd0c666308400230620 | /Lecture4-Python/add2numbers.py | 8410f87b26a12758073e558d056e848c273b83fa | [] | no_license | zackychan97/Stanford-Code-in-Place | b349e167f10ec45efe9315936448c5e7821ce976 | 5e694afb835a8ee195bf39653782a18efacdffbf | refs/heads/master | 2022-09-01T02:29:00.824593 | 2020-05-28T00:26:34 | 2020-05-28T00:26:34 | 255,403,203 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 560 | py | """
File: add2numbers.py
--------------------
Another python program to get some practice with variables.
This program asks the user for two integers and prints their sum.
"""
def main():
print("This program adds two numbers.")
num1 = input("Enter first number: ")
num1 = int(num1)
num2 = input("Enter s... | [
"upwork.ztb@gmail.com"
] | upwork.ztb@gmail.com |
2c3b054d93f45003c87f98cb0129da2c90a07b02 | 5551361c02ee4a78036e2452fea615fc912f406b | /tut4.py | 465358ee61083a2301be6d3e8df1a5bc8be26084 | [
"MIT"
] | permissive | Demfier/cs116-tut-solns | 3d93752e4ca2d3debbb36c901a13e7201e5bf0fe | 8277dae848ebf66522245fe15492ab91e48dac93 | refs/heads/master | 2020-12-13T13:32:52.551815 | 2020-02-14T05:25:45 | 2020-02-14T05:25:45 | 234,433,306 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,503 | py | # This file contains solutions to CS116, Tutorial 4
import math
import check
# CQ1: E)
def create_cards(values, suits):
"""
Purpose, Contracts & Requirements, and Examples go here
"""
return list(map(lambda x, y: [x, y], values, suits))
def create_cards_alt(values, suits):
"""
Purpose, Cont... | [
"sahu.gaurav719@gmail.com"
] | sahu.gaurav719@gmail.com |
c0d9310f0cd5790e4e0888b620c63cf325dc4d58 | f9d564f1aa83eca45872dab7fbaa26dd48210d08 | /huaweicloud-sdk-aom/huaweicloudsdkaom/v2/model/list_log_items_response.py | 4e3d6377a22a133cbef0e053c955f2b4d0817543 | [
"Apache-2.0"
] | permissive | huaweicloud/huaweicloud-sdk-python-v3 | cde6d849ce5b1de05ac5ebfd6153f27803837d84 | f69344c1dadb79067746ddf9bfde4bddc18d5ecf | refs/heads/master | 2023-09-01T19:29:43.013318 | 2023-08-31T08:28:59 | 2023-08-31T08:28:59 | 262,207,814 | 103 | 44 | NOASSERTION | 2023-06-22T14:50:48 | 2020-05-08T02:28:43 | Python | UTF-8 | Python | false | false | 5,115 | py | # coding: utf-8
import six
from huaweicloudsdkcore.sdk_response import SdkResponse
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class ListLogItemsResponse(SdkResponse):
"""
Attributes:
openapi_types (dict): The key is attribute name
and the va... | [
"hwcloudsdk@huawei.com"
] | hwcloudsdk@huawei.com |
8a832fba39554e5d8e91909eebf256b825a84b89 | 53e8762caede13acfdc2071a2b8def57128dd3e4 | /Arshia_phase_2/hyperstar_for_glove_w2v/identity3.py | 1b153e432a90b6ccbdd0720bd66358b1db24de53 | [] | no_license | manikyaswathi/SemEval2018HypernymDiscovery | 8c17cf4d16fa48b2719381752b18386acde6c4ee | 03ee054bf0266fed5337b2a8bba14e8d7fec31aa | refs/heads/master | 2020-03-10T14:52:28.582128 | 2017-12-15T20:40:32 | 2017-12-15T20:40:32 | 129,437,112 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,389 | py | #!/usr/bin/env python
import argparse
import csv
import sys
import gensim
import numpy as np
import os
parser = argparse.ArgumentParser(description='Identity Evaluation.')
parser.add_argument('--w2v', default='all.norm-sz100-w10-cb0-it1-min100.w2v', nargs='?', help='Path to the word2vec model.')
parser.add_a... | [
"noreply-github@umn.edu"
] | noreply-github@umn.edu |
c616722734885ced6763e3ca047faf01fab36c81 | 89fac230fd073774fe3236e49c7fb0e471413e4b | /Customer Churn prediction/logistic_regression.py | c56e28081a514c992ae5d7378cb85a957bd63688 | [] | no_license | Venkat-Rajgopal/Kaggle-projects | 31bb6afc54f5c5e382696defab75f90513698d86 | a93daf2cb84348a4d8a19d6985307ba3955b9ebe | refs/heads/master | 2021-11-24T07:44:50.409523 | 2021-11-08T20:49:38 | 2021-11-08T20:49:38 | 148,202,061 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,502 | py | import os
from os import chdir, getcwd
wd=getcwd()
chdir(wd)
import numpy as np
import pandas as pd
# Modelling imports from Sklearn
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split, GridSearchCV
from sklearn.linear_model import LogisticRegression
from sklearn.me... | [
"venkatramani.r@gmail.com"
] | venkatramani.r@gmail.com |
1ac116f975e16120cbbd8caa43dc5181d2366329 | 2185217abc9d39919d4e7efd796f0dfb4dc70303 | /advent_of_code_2019/day_02.py | 8f1385437d7f8b866d2131fd27dae5590d1c30ce | [] | no_license | HappyTreeBeard/Advent_of_Code_2019 | 78b6061da74bb427e1b2b70c17eb6e630a0618e4 | 7d6cb8c04c6d509095b8c61bcd5b1a93f19a68b4 | refs/heads/master | 2020-11-24T17:42:01.344355 | 2020-01-08T02:34:03 | 2020-01-08T02:34:03 | 228,277,688 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,688 | py | import copy
import unittest
from enum import IntEnum
from pathlib import Path
from typing import List
class OpCode(IntEnum):
""" Opcodes (like 1, 2, or 99) mark the beginning of an instruction. The values used immediately after an opcode,
if any, are called the instruction's parameters."""
ADD = 1
MUL... | [
"34220817+HappyTreeBeard@users.noreply.github.com"
] | 34220817+HappyTreeBeard@users.noreply.github.com |
2527f247fec61f2141bb48302517b78430fe6068 | 4e85fc9a611cab613a1a5fa19ceb3d0cca8a49ad | /citcall/settings.py | 77d081b90d6680066fa90ed12ed049e15c81a5f5 | [] | no_license | novanBule/citcall-django | dc08063428e6c24b0f9d450a859caee142f3081d | be04cc79d0816b1d1009d0ff89dd37708d4a0603 | refs/heads/master | 2021-01-02T15:24:17.516279 | 2020-02-21T11:16:38 | 2020-02-21T11:16:38 | 239,680,838 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,244 | py | """
Django settings for citcall project.
Generated by 'django-admin startproject' using Django 2.2.6.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"""
import os
#... | [
"maaf.emailgualupa@gmail.com"
] | maaf.emailgualupa@gmail.com |
02afa1f3ac1912f2e42968b1a9f8c171135d839e | fa795af74cda4d92604fa3332179ba939460a9b5 | /JUBioactivities/QSARDB/Papa_Property_pkNO3_Degradation_by_NO3_radicals_as_logkNO3/__init__.py | ed8bd3df2d2321a9d042e6cc65b02e98c183d8a1 | [] | no_license | JenniferHemmerich/JUBioactivities | 7329a89db0e2790aff9bcfe153ab4dcd2c19a489 | 87054ac135d91e034dcfb6028562b4a7930a3433 | refs/heads/master | 2020-04-26T03:56:36.177955 | 2019-03-07T13:08:08 | 2019-03-07T13:08:08 | 173,284,341 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,003 | py | import os.path
import glob
import pandas as pd
import numpy as np
from ... import utils
__data_src__ = list(sorted(glob.glob(os.path.join(__path__[0], "compounds/0*.mol"))))
__data_src__ += [os.path.join(__path__[0], "properties/pkNO3.txt")]
def read_data(raw=False):
df = pd.DataFrame({'pkNO3_Index_Papa': np.l... | [
"jennifer.hemmerich@univie.ac.at"
] | jennifer.hemmerich@univie.ac.at |
25ab3da1de0c4e34d1d09e361769c36803cd8317 | e37a1088cd272a88765c4c232f4432bc43b8b558 | /Cyber_News/game_pages/migrations/0002_auto_20191207_0122.py | 8e2faed42baefe1ef7c535b599ee2f42f5545b11 | [] | no_license | Farad2020/Cyber_News | 79931c613a7e766b0bcf92b94fc9e077c1113db4 | 46b6001504d7e85b014306c2bca9eee58c43611f | refs/heads/master | 2020-08-29T01:18:51.879649 | 2019-12-10T13:24:45 | 2019-12-10T13:24:45 | 217,876,405 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 806 | py | # Generated by Django 2.2.6 on 2019-12-06 19:22
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),
('game... | [
"fnirc@mail.ru"
] | fnirc@mail.ru |
134a7fdb80d75f63678b62ea1e3d5cf549604860 | 838c166ed4b416d25bcd0089ec58c2306fe67c4c | /hsbro_port/run_all_case.py | 522714bca57908ec22b53ef371725702b10b0ec5 | [] | no_license | wuyuchao1992/hsbTest | df9f039f3ba35f2437c64383ea40bee722d7e640 | 9dd41f28778cfa984aca924d924b03abfadc2737 | refs/heads/master | 2020-04-08T21:41:49.701211 | 2019-08-15T03:08:44 | 2019-08-15T03:08:44 | 159,754,744 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 857 | py | #coding:utf-8
import unittest
import HTMLTestRunner
import os
def all_case():
# 执行用例目录
case_dir = "C:\\Python35\\hsbro_prot\\case"
testCase = unittest.TestSuite()
discover = unittest.defaultTestLoader.discover(case_dir,pattern="test*.py",top_level_dir=None)
for test_suite in discover:
for ... | [
"550535582@qq.com"
] | 550535582@qq.com |
422ed439d6cd3fa32bc7b7b30dcfab4aeb976286 | 07926ae91fe78d850b8db916163934d1d6333371 | /contest/w29/day-of-the-programmer.py | 7ffcda39dea19bc40d4e7c2530b171b4c75289d0 | [] | no_license | wllmnc/hackerRank | a3ec8e7866474788944c765eb61cf18c714fa57b | 410bc5a2fd0139052e8180abf897ba89ecec09fa | refs/heads/master | 2021-10-22T14:04:52.181345 | 2021-10-11T05:46:58 | 2021-10-11T05:46:58 | 57,273,948 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 362 | py | #https://www.hackerrank.com/contests/w29/challenges/day-of-the-programmer
#!/bin/python
import sys
y = int(raw_input().strip())
# your code goes here
day='0'
month='09'
if y<1918:
day=('12' if y%4==0 else '13')
elif y==1918:
day='31'
mont='08'
else:
day=('12' if ((y%4==0 and y%100!=0) or y%400==0) el... | [
"noreply@github.com"
] | wllmnc.noreply@github.com |
1ba39a261ac7344665d4fd8f17200b7e46f003d4 | 67b10cc09fa31d82c3c1961366ae56875449185b | /Jerry/Ling-4375473-hw6/exer2.py | e6cb8acb19ebffacd46ec7623e85c0bbebe07d38 | [
"WTFPL"
] | permissive | Moelf/S19-129L | b698b65ab138d2ecacf6bb773afc0f8c620557c7 | 6085ad5b1e09aedc81319090f1187c0d9bee423e | refs/heads/master | 2020-04-18T08:48:33.925210 | 2019-03-23T19:42:55 | 2019-03-23T19:42:55 | 167,409,038 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,352 | py | import math
import numpy as np
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
# constants given in the problem
N = int(input("N = "))
mu = int(input("mu = "))
sigma = float(input("sigma = "))
# pick 100 spaced fixed x's, S>0
xs = np.linspace(0, 20, 2000)
# normal(3,0.5) virtually don't have anything small... | [
"jerryling315@gmail.com"
] | jerryling315@gmail.com |
3879b85ac5c2d9040cb6c9f5d03562f767ce762e | 4d2979e9b1804a1b8f37353cc9aae70e989390db | /ngrams.py | 5281a412c203f5a95ef17656e37d49523b888497 | [] | no_license | chjunginger/charts2 | a4fed8ef18aed7a4eae9f497831e4e5f3cfa4692 | eaed6de715bc1cc814f66f2d49b72e03e10766a5 | refs/heads/master | 2016-09-05T19:37:09.649356 | 2015-06-25T09:02:39 | 2015-06-25T09:02:39 | 31,538,358 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,227 | py | __author__ = 'christianjunginger'
#gets all ngrams and counts how many distinct songs use it (per year)
import re
import json
n=3 #length of ngram
def PreprocessLyric(lyric):
lyric = re.sub(r'[^\w\s\']',' ',lyric)
lyric=lyric.lower()
return lyric.split()
def GetNgramSongCountsForYear(AllLyricsOfYear):... | [
"chjunginger@users.noreply.github.com"
] | chjunginger@users.noreply.github.com |
2cc437f24c473125f7825b073b35dbc910657b40 | 963cac9e78c4b742f7e7800200de8d1582799955 | /lib/veetou/pzh/pzhmodel_.py | fe393d78cc1da6d7aec46d2741a126f14b156e44 | [] | no_license | ptomulik/veetou | c79ceb3ca3d7ef7b261b2219489b6f0a7a83e1fa | b30be2a604f4426f832ec9805547ecd6cc9083fe | refs/heads/master | 2021-01-22T17:28:57.271251 | 2019-01-05T01:46:43 | 2020-05-04T16:23:44 | 85,016,513 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,677 | py | # -*- coding: utf8 -*-
"""`veetou.pzh.pzmodel_`
Defines data model for pzh (Protokół Zaliczeń - HTML)
"""
from veetou.model import *
__all__ = ( 'PzHReport',
'PzHPreamble',
'PzHTr',
'PzHSummary',
'PzHDataModel' )
##def strn(s=None):
## if s is None:
## retur... | [
"ptomulik@meil.pw.edu.pl"
] | ptomulik@meil.pw.edu.pl |
558316d2d02f00c53809d2a6dc8daad74994b50e | f0b2de121b17169b3decaadc39d87de85b6b7fdb | /yahoo_options_data.py | 917423fb80897dde66956640a8432def6efe05a0 | [] | no_license | lchen0113/APT_lab1 | 531b5c6885ebee46c723f37aa2082ca3dfd2aaaa | 1c4ff3922190497b392ffdea813f92f9f9cec23e | refs/heads/master | 2016-09-06T10:23:19.837301 | 2015-09-12T04:41:22 | 2015-09-12T04:41:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 770 | py | import re
import urllib
import locale
from bs4 import BeautifulSoup
def contractAsJson(filename):
file=open(filename,'r')
soup=BeautifulSoup(file,'html.parser')
jsonQuoteData = {"currPrice":0.0,"dateUrls":[],"optionQuotes":[]}
# find the currPrice
currPrice=soup.find( attrs={"class","time_rtq_ticker"... | [
"lchen0113@gmail.com"
] | lchen0113@gmail.com |
6ee20a4a8435db0bfc40638cceef71df51f88e65 | 4e4c5827ed94024d499982279ce611b893c03572 | /Azure Firewall/Script - Migrate Checkpoint config to Azure Firewall Policy/chkp2azfw.py | 3d99c0cb6d834b73264997c9c8125e14c234c1a6 | [
"LicenseRef-scancode-generic-cla",
"MIT"
] | permissive | Azure/Azure-Network-Security | 19a51076e5eda76e9808845792421b82ea5afb84 | 32141bb734518d5ae51bed5f7ca824a01b04ab49 | refs/heads/master | 2023-08-30T20:53:07.435480 | 2023-08-28T15:55:12 | 2023-08-28T15:55:12 | 215,905,001 | 690 | 264 | MIT | 2023-09-11T06:38:17 | 2019-10-17T23:46:28 | Python | UTF-8 | Python | false | false | 43,780 | py | import argparse
import json
import re
import os
import sys
import copy
# https://docs.python.org/3/library/ipaddress.html
import ipaddress
# Helper functions
# Arguments
parser = argparse.ArgumentParser(description='Generate an ARM template to create a Rule Collection Group from a Checkpoint ruleset exported with the... | [
"noreply@github.com"
] | Azure.noreply@github.com |
7f2fb82245f1aad011c002e5e5e19e127851738f | 0561de867928b827115a855ed3a9943657e7ad71 | /src/api/config/config.py | 91fa24bf24e3b429a99776e3fc210e19d49cd0da | [] | no_license | homemix/flask_api_sample | c3c57742e2dc07f5a0451a5b6508551716e262ae | 0e23a61cdfb26fb8ae32a004d4811adebce3e7ef | refs/heads/master | 2023-06-15T16:09:11.353193 | 2021-07-01T10:02:35 | 2021-07-01T10:02:35 | 381,985,326 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 927 | py | import os
class Config(object):
DEBUG = True
TESTING = False
SQLALCHEMY_TRACK_MODIFICATIONS = False
class ProductionConfig(Config):
SQLALCHEMY_DATABASE_URI = "mysql+pymysql://<db_url>:<port>/<db_name>"
SQLALCHEMY_ECHO = False
JWT_SECRET_KEY = 'JWT-SECRET'
SECRET_KEY = 'SECRET-KEY'
SE... | [
"kenmutati@gmail.com"
] | kenmutati@gmail.com |
6f18042887b709dbed8c5c7127dfd8b31351d80f | bafa89d999fd2a06063d7c0768670525d3b9b60e | /example/web-demo/session.py | 5aa1a3fab0336539d8305e3bffde9880af4a3c17 | [] | no_license | yifangyun/fangcloud-python-sdk | 0a54bc5054579a28d72d7aa7ac35d12f1c2ee1b4 | ffefd6d2d625841643160c3c9d5a4b55190bc49f | refs/heads/master | 2021-01-19T21:00:40.555935 | 2018-10-10T13:16:04 | 2018-10-10T13:16:04 | 88,589,490 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,047 | py | import hashlib
import time
def md5():
m = hashlib.md5()
m.update(bytes(str(time.time()), encoding='utf-8'))
return m.hexdigest()
class MemorySession:
container = {}
def __init__(self, handler):
random_str = handler.get_cookie('yfy_session_id')
if random_str:
if rand... | [
"linrenjun@egeio.com"
] | linrenjun@egeio.com |
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