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ce543f9c2b46e85ee8ec87555bcd6214c88c6126 | c487af858ec7bdf45bb0872985d832e3f4584978 | /src/mq2rest/mq2rest.py | 079ea002e23a6ccf07476c931671fc3422e7e3c9 | [] | no_license | MarkHallett/MySite | 7054030b97c70bc4d3f507571102eef0e290408c | f2f4e8a1fb3acb234add5f5bca19e50cc0a8c68e | refs/heads/master | 2021-01-20T09:55:48.475864 | 2019-05-13T18:25:19 | 2019-05-13T18:25:19 | 90,306,854 | 0 | 0 | null | 2018-02-16T14:38:42 | 2017-05-04T20:31:44 | Python | UTF-8 | Python | false | false | 6,882 | py | #!/usr/bin/env python2.7
# mq2rest.py
import os
import json
import random
#from tornado import websocket, web, ioloop
import datetime
from time import time
import logging
import logging.config
import pika
from requests import put, get, post, delete, request
cl = []
# Random number generator
r = lambda: random.ra... | [
"markhallett@Marks-MBP.connect"
] | markhallett@Marks-MBP.connect |
f4e880e252d3c8acd16a6ca5305873e12ab1f18b | fe29a6362e8db8681ae3b460a820cac0a682f2cf | /lab3/colorhouse.py | 945468025efb3d2a8d185cf0925a7f24b108d586 | [] | no_license | ZhuofeiXieKatlin/CS-0008 | 8eb78910281f89fd60588e1792ceca237bad41ad | d9243cb4e5d8ac7747452456d89351d0972c06a1 | refs/heads/master | 2020-04-25T12:43:35.626587 | 2019-03-20T20:12:11 | 2019-03-20T20:12:11 | 157,258,637 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,557 | py | from turtle import *
import turtle as t
import math
t.setup(800,800)
'''
You are to use functions and turtle graphics to draw the colored house
shown in the lab3 document. Choice of colors is up to you. Have fun.
'''
def drawoutline(t):
'''
This function draws the outline of a house using turtle t.
... | [
"zhx34@pitt.edu"
] | zhx34@pitt.edu |
551a89bdfa5370cf71f92c90d382adbedcaedfdd | da1b0ea9baf236774d3956a0db981388bf2ef19d | /python/python_core_advanced/multi-threading/using_subclass.py | be240f2744c7e89305fc88fa841c9dcddacce4b8 | [] | no_license | am3lla/projects | 5418fe782033f14990ee608628525bea060c810b | b02ee17055dd9bfea472d44092bb357e618cd047 | refs/heads/master | 2022-07-27T14:21:19.167610 | 2020-05-12T11:53:29 | 2020-05-12T11:53:29 | 114,195,303 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 308 | py | #!/usr/bin/env python3
from threading import current_thread, Thread
class MyThread(Thread):
def run(self):
i = 0
print(current_thread().getName())
while i < 11:
print (f"{i}", end = ' ')
i += 1
print(current_thread().getName())
t = MyThread()
t.start()
| [
"andres.mella.romero@gmail.com"
] | andres.mella.romero@gmail.com |
9daf85e11405dcc90c806f627978128430164a80 | 4db44e7eafa618672a3b6d4751c5c7d0715b429d | /realizeazaSintezaTexturii.py | 9a09a00bc65ed8c6f39e61ccea5660da414aca01 | [] | no_license | Asuciu1986/Texture-Synthesis-and-Transfer | 74d914f84ece29c736cfbba13e57da702c6e2180 | 304255d3bfedf7f7ea176b4af09f4ccf4e03e9c8 | refs/heads/master | 2020-05-23T15:19:21.750045 | 2018-12-25T13:40:35 | 2018-12-25T13:40:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,432 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Nov 24 21:17:56 2018
@author: gabriel
"""
import numpy as np
import math
from itertools import product
from functiiUtile import (genereazaBlocuri, calculeazaDistantaSuprapunere,
gasesteDrumMinim, floodFillIterativ)
def realiz... | [
"noreply@github.com"
] | Asuciu1986.noreply@github.com |
4c50b86c0bb3ed7ec5af1d5809396e964553638a | 8a128b88c550ad777fe0d195790b14d30818c4b3 | /python/axidraw_server.py | b61db6349ebad922929b10e404b719691b3a0965 | [
"MIT"
] | permissive | NduatiK/elm-generative | 89671d0ad1c69a4b008f40faee153448374e9304 | e07f94e45240539ca1c7524e136c404f3199b31c | refs/heads/master | 2023-04-25T02:04:52.264266 | 2021-05-20T10:47:24 | 2021-05-20T10:47:24 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,965 | py | #!/usr/bin/env python3
"""
A simple webapp that works with the elm-generative webpage
EXTREMELY EXPERIMENTAL
Author: Xavier Ho <xavier@jtg.design>
## To start axidraw-server on port 6743, listening from all hosts
python axidraw_server.py
## REST API usage:
* Content-Type is always `application/json`
* Succe... | [
"xavier.ho@monash.edu"
] | xavier.ho@monash.edu |
3ba82926b8b04c2a02d0f4ae63e753a070f95e62 | cc9efde4edbf4739b8f2fd628e35ebc254866341 | /Classifiers/CNN/ker_cnn_2.py | 6d2dad2ef367fb672da23c1cb639851ed747acb4 | [] | no_license | thomaspage/MNIST | 47b99c3896f5afe6d22eb40f52b1a93fd423ceee | b16760dc3c765b77b6a4e8934bd40956a92f634c | refs/heads/master | 2021-08-11T20:54:05.467475 | 2017-11-14T04:31:39 | 2017-11-14T04:31:39 | 108,304,951 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,727 | py |
from __future__ import print_function
import csv
import keras
import struct
import numpy as np
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten
from keras.layers import Conv2D, MaxPooling2D
from keras import backend as K
from keras.preprocessing.imag... | [
"matthew.chan2@mail.mcgill.ca"
] | matthew.chan2@mail.mcgill.ca |
ac216aebef88aa0f448d29380e7acea53e4a96c6 | 8979ad5a2073bf8715019d54983d30dcfe3b45f5 | /ImageFormatter.py | ae5d149d641c7d0986db6e4528d608c2fe87a086 | [] | no_license | jambobjambo/LUXCNN | 014564b7c3c019d2e1ad3d92ad4ce3efec1df999 | 259721ced5946ef3277331a9cf5a89182bcef77c | refs/heads/master | 2021-01-01T05:57:41.373922 | 2017-07-23T11:27:38 | 2017-07-23T11:27:38 | 97,319,071 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 935 | py | from PIL import Image
from resizeimage import resizeimage
import os
ImageDirectoryIn = "../RNNImages/"
ImageDirectoryOut = "../TrainingData/Mask/"
def ReFormat(ImageDir, Name):
Filename = ImageDirectoryIn + ImageDir + '/' + Name
with open(Filename, 'r+b') as f:
with Image.open(f) as image:
... | [
"jamie.a.mcinally@gmail.com"
] | jamie.a.mcinally@gmail.com |
de5732d2e5a0bc8f26e9b137e0fd51ba4282fdf3 | ffdd1a9fb403d5cbea79c3e30b19502150b7f07b | /algorithms/morse_code.py | a357576d70f471df63496e452e6e97f70998519d | [] | no_license | yanik-ai/multy_crypter | ed86638d58fec0d2368f15474dcc76175b92013b | c6edc63a5b4fc26d95946ef79ad24804395960e3 | refs/heads/master | 2021-05-30T17:24:55.356946 | 2016-03-09T23:10:46 | 2016-03-09T23:10:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,961 | py | # -*- coding: utf-8 -*
from __future__ import unicode_literals
class MorseCode(object):
def __init__(self):
# International Morse Code Alphabet
# http://morsecode.scphillips.com/morse2.html
self.alphabet = {'A': '.-', 'B': '-...', 'C': '-.-.', 'D': '-..', 'E': '.',
... | [
"yanikkoval@devrecords.com"
] | yanikkoval@devrecords.com |
a3432d391d2a981b089d443addec2146a9aa8e71 | cf07288b1d6a9d352ca35414ad44ad1b4bbb557c | /stepik4_4.py | 948fdd8d3cc6a678e92b67e5f49619eb4ba81815 | [] | no_license | VetaGryff21/algorithms | 2ba7c9b43f2ae87f87f5375051af67305604d2cb | c1b9ced159928c374b0712bc27f47a3ae7f74513 | refs/heads/master | 2020-12-07T07:34:03.721603 | 2020-01-08T23:16:25 | 2020-01-08T23:16:25 | 232,672,839 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 521 | py | count = 0
list = []
with open('dataset_3363_4.txt') as file:
for string in file:
string = string.strip().split(';')
print(string)
for i in string[1::]:
count += int(i)
print(count / 3)
string.append(count / 3)
print(string)
list.append(string)
... | [
"vetagryff21@gmail.com"
] | vetagryff21@gmail.com |
6dc0a0220f04043e1874f030691529d0afc76d63 | aa1fb9dfa629fb760b99c6de56685084256389f9 | /Mission_to_Mars_Challenge.py | 89f467d7c1ac84927b999974e381c629dc6d7079 | [] | no_license | roxhensa02/Mission_To_Mars | b166cf160114d3dff22c16987c8ac54ef23538be | 2655457412e282980ecc83c82ef59ee3bc78a3a2 | refs/heads/main | 2023-09-02T23:07:28.865954 | 2021-11-16T20:55:13 | 2021-11-16T20:55:13 | 428,810,327 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,109 | py | #!/usr/bin/env python
# coding: utf-8
# In[1]:
# Import Splinter, BeautifulSoup, and Pandas
get_ipython().system('pip install webdriver_manager')
from splinter import Browser
from bs4 import BeautifulSoup as soup
import pandas as pd
from webdriver_manager.chrome import ChromeDriverManager
# In[2]:
# Set the exec... | [
"noreply@github.com"
] | roxhensa02.noreply@github.com |
549d8f7ade40cfa0e6ba5544d528f1d7c8bcdccd | 4b44a299bafbd4ca408ce1c89c9fe4a449632783 | /python3/10_Modules/14_turtle_module/18_USA_flag.py | 98d05fb7b9f945b3411273edc11fe92f22cc5bfa | [] | no_license | umunusb1/PythonMaterial | ecd33d32b2de664eaaae5192be7c3f6d6bef1d67 | 1e0785c55ccb8f5b9df1978e1773365a29479ce0 | refs/heads/master | 2023-01-23T23:39:35.797800 | 2020-12-02T19:29:00 | 2020-12-02T19:29:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,672 | py | #!/usr/bin/python
"""
Purpose: To create USA flag using turtle.
"""
import turtle
import time
# create a screen
screen = turtle.getscreen()
# set background color of screen
screen.bgcolor('white')
# set tile of screen
screen.title('USA Flag')
oogway = turtle.Turtle()
# set the cursor/turtle speed. Higher value, fa... | [
"uday3prakash@gmail.com"
] | uday3prakash@gmail.com |
5c4046060f4537dc3aded470b9e0e04c2eddeb3b | 3c7c8cd58ba38e222d459c202de5bc36213b8a51 | /gunting_batu_kertas.py | c9b639eb41f2adb9b3cbf3ef1e9fb4846a4a6a71 | [] | no_license | Guruh15/Projek_ku | b130ed8d0f63e485859ca089f79c310c7cea174a | c58c3aa4c68bc0dce61d23fce61244ce736ac7a1 | refs/heads/main | 2023-08-23T11:24:27.959062 | 2021-10-13T04:02:39 | 2021-10-13T04:02:39 | 416,572,205 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,064 | py | from random import randint
pilihan = ["Gunting", "Batu", "Kertas"]
komputer = pilihan[randint(0,2)]
player = False
while player == False:
#Set pemain ke True
print("Masukkan pilihan anda")
player = input("Gunting, Batu, Kertas : ")
if player == komputer:
print("Imbang")
elif ... | [
"noreply@github.com"
] | Guruh15.noreply@github.com |
b6a0047b357526884a40eaaa9456bbe0df2c1d73 | f71ee969fa331560b6a30538d66a5de207e03364 | /scripts/client/messenger/formatters/service_channel.py | 1f37d8492abec598dcbad8d94a60152f7567d5d8 | [] | no_license | webiumsk/WOT-0.9.8-CT | 31356ed01cb110e052ba568e18cb2145d4594c34 | aa8426af68d01ee7a66c030172bd12d8ca4d7d96 | refs/heads/master | 2016-08-03T17:54:51.752169 | 2015-05-12T14:26:00 | 2015-05-12T14:26:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 90,507 | py | # Embedded file name: scripts/client/messenger/formatters/service_channel.py
import types
from FortifiedRegionBase import FORT_ATTACK_RESULT, NOT_ACTIVATED
from adisp import async, process
from chat_shared import decompressSysMessage
from club_shared import ladderRating
import constants
from debug_utils import LOG_ERRO... | [
"info@webium.sk"
] | info@webium.sk |
7f3573b907615326768f9b99f8b75c8208c8dc62 | 15785beca775f85c596ba3a3897f199ba7a09281 | /codes/test.smple.py | 58aebb616b4032a236f7873fbb378ef098c0ad68 | [] | no_license | j4robot/tensorflow-with-tim | 8b95576e736372414100c6da1f9a532aa9ea0636 | e186d8c0cf0c0f59d734427616c7f3df438b8a26 | refs/heads/master | 2022-12-21T02:21:36.669877 | 2020-09-27T08:38:19 | 2020-09-27T08:38:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 520 | py | def fashionably_late(arrivals, name):
"""Given an ordered list of arrivals to the party and a name, return whether the guest with that
name was fashionably late.
"""
print((len(arrivals) / 2))
return (arrivals.index(name) + 1 != len(arrivals)) and (arrivals.index(name) >= (len(arrivals) / 2))
party... | [
"achanamosey@gmail.com"
] | achanamosey@gmail.com |
7a0776d75b4d09bb0af39d568c302ed5fb0984b3 | 9fa4091b49772208fd1caf0734603f8dd39f52a6 | /api/migrations/0004_auto_20150701_1903.py | 4b13f2b398753c6f4f5d1df07f8b6304d67d4c92 | [] | no_license | faderskd/Docs | e586454fcb15c7e9c0a2d6d97b6936d76b319c7a | 9bd421af5afb3f839407653a8cdbc32ba0d7a7f3 | refs/heads/master | 2021-01-18T21:37:23.968717 | 2015-12-22T02:27:31 | 2015-12-22T02:27:31 | 38,111,451 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 990 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
def copy_publishers(apps, schema_editor):
Book = apps.get_model("api", "Book")
for book in Book.objects.all():
authors = book.authors.all()
for author in authors:
author.publish... | [
"daniel.faderski@gmail.com"
] | daniel.faderski@gmail.com |
09107cfb604f6b2991d2f609a97bce88bcd4bdc6 | 71115b689aeb58ece0e765b4589e5033d845e183 | /scraper/export.py | 20b2166fdf83b94cdee35a103e2c5a2f7a3165d4 | [] | no_license | fcpauldiaz-archive/CronService-Keydex | 112d0331e982f274e8225ca88e5d892662a44dbe | 60c43dfb217a0f168d57ed314c278c699da110e0 | refs/heads/master | 2021-03-19T10:47:03.922441 | 2017-08-26T18:50:41 | 2017-08-26T18:50:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,218 | py | import os
import csv
from datetime import datetime
import psycopg2
import settings
from helpers import log
# conn = psycopg2.connect(database=settings.database, host=settings.host, user=settings.user, password=settings.password)
# cur = conn.cursor()
def dump_latest_scrape():
# Export everything
# cur.execu... | [
"pablo5_diaz@hotmail.com"
] | pablo5_diaz@hotmail.com |
f9e315f18a0e2d73e3e4b70e0e87cc8893975c0c | e169045b956ec50bafae3c729281f260ac45778e | /algs_searchproblem.py | a43a9e9840538edd4768dec7d5faf2dfae67be1d | [] | no_license | utmcontent/algs_poetry_whynotthisname | a10225d41dced525c00daa02c6c951f4752a1df9 | 39aa7ccb5d88451e851fec50438cbda71485e070 | refs/heads/master | 2023-02-12T14:48:45.899863 | 2020-10-19T19:51:57 | 2020-10-20T15:58:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 296 | py | def x_2(a,b):
atob=[]
for i in a:
if i not in b:
for j in range(abs(a.count(i)-b.count(i))):
atob.append(i)
delete=[]
for i in b:
if i not in a:
for j in range(abs(a.count(i)-b.count(i))):
delete.append(i)
return atob,delete
class Ab(object):
def __init__(self):
pass
| [
"d@d.com"
] | d@d.com |
c04b01aae7001bb9c75d374b42c6394111250b51 | 6bb08a716a718482ab36bead873abc8fd22131a2 | /hello.py | 75d2ed7a0b4ba06a27c290c89a0e53f543038335 | [] | no_license | RasulKg/intro2python | 8692a9bafbc5df549cb24e41b50af86df6902346 | c646fbc015b99839e2acdaa7f6e43f7a92ac1101 | refs/heads/master | 2021-01-10T16:14:55.034882 | 2015-12-14T08:42:57 | 2015-12-14T08:42:57 | 43,351,695 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 61 | py | print "Enter your name",
name=raw_input()
print "hello", name | [
"mashanlo_r@12-04.iuca.loc"
] | mashanlo_r@12-04.iuca.loc |
27b5ab2a5b5b71f5124444c8ac9e574999e6b3de | e3365bc8fa7da2753c248c2b8a5c5e16aef84d9f | /indices/eth.py | 4a292a43afe90a446c9d2d8144317014fb34d1a0 | [] | no_license | psdh/WhatsintheVector | e8aabacc054a88b4cb25303548980af9a10c12a8 | a24168d068d9c69dc7a0fd13f606c080ae82e2a6 | refs/heads/master | 2021-01-25T10:34:22.651619 | 2015-09-23T11:54:06 | 2015-09-23T11:54:06 | 42,749,205 | 2 | 3 | null | 2015-09-23T11:54:07 | 2015-09-18T22:06:38 | Python | UTF-8 | Python | false | false | 470 | py | ii = [('FerrSDO3.py', 2), ('CookGHP.py', 1), ('PettTHE.py', 2), ('AubePRP.py', 2), ('FitzRNS3.py', 3), ('ClarGE2.py', 1), ('KiddJAE.py', 2), ('BailJD1.py', 2), ('CrokTPS.py', 1), ('WestJIT2.py', 1), ('MedwTAI.py', 1), ('WadeJEB.py', 1), ('FerrSDO2.py', 3), ('KirbWPW2.py', 1), ('WheeJPT.py', 1), ('MereHHB3.py', 4), ('Me... | [
"prabhjyotsingh95@gmail.com"
] | prabhjyotsingh95@gmail.com |
40767c9568481a8c43dfe59b74dc14b435951af0 | 4185e7c695bbe41d0dd50e35bb54bdb76e3bd3ac | /scdc/initial/response.py | 832abd113d53b0f0a83bbb3d8ffe991b3d961224 | [] | no_license | LBJ-Wade/LightDM_in_superconductor | 4ccc3851a13fdd4382c0c7b06fbbc393f666482a | c559ed6cdbb7e70f09808d35312c494ca36b5a7d | refs/heads/main | 2023-08-04T16:22:33.190430 | 2021-09-13T00:00:42 | 2021-09-13T00:00:42 | 408,343,124 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,554 | py | """This module defines coherence factors for use in computing the initial
angular distribution of excitations produced by a hard scatter."""
import tensorflow as tf
class ResponseFunction(object):
"""Base class for response functions."""
def __call__(self, r1, r2, q, omega):
"""Evaluate the response ... | [
"benvlehmann@gmail.com"
] | benvlehmann@gmail.com |
3d366ea8ffb2b3fabe0d8947eb251746b25769d3 | a74a0ec937006fb7e3ca18a430d422c1ce97faab | /labb7/labb7a.py | f627c3b76d172b04d0a4f5235c875688382ea259 | [] | no_license | GlockenGold/TDDE23 | 74e751bda91afde6e37b3bcaa8424982e9022bf8 | e98b102296c03cb97185c33fb0e0b3506877d384 | refs/heads/master | 2022-04-13T01:53:56.518465 | 2020-03-26T21:10:59 | 2020-03-26T21:10:59 | 250,372,153 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,745 | py | def search(pattern, db):
""" Returns all entries matching pattern in db """
books = []
for i in range(len(db)):
temp = match(db[i], pattern)
if temp:
books.append(db[i])
return books
def match(seq, pattern):
"""
Returns whether given sequence matches the given patte... | [
"glockengold19@live.se"
] | glockengold19@live.se |
795a9dfe379f8cccfc7570f3fa55b128860921e1 | f93a67890e54736d88d927a6e375b167e28e18a2 | /100Days/DataStructure/set.py | bd280cd85d3bead8d034d5becfad37b717cf250d | [] | no_license | doubleZ0108/my-python-study | 8b86e118239eefdc2dee7604448369f55515c02d | 7ea30fe2c0518d23262fc89399949f21dac91d41 | refs/heads/master | 2021-07-03T02:08:35.159660 | 2020-10-07T15:42:26 | 2020-10-07T15:42:26 | 179,608,426 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 653 | py | # 数据结构
## 集合
set1 = {1,2,1,1,2,3} # 去重
len(set1) # [Output]: 3
set2 = set(range(1,11))
### 添加元素
set1.add(4)
set1.add(3)
set2.update([11,12])
### 删除元素
set2.discard(5)
set2.discard(100)
# set2.remove(888) # remove的元素如果不存在会引发KeyError
set1.pop() # 删除第一个元素 -> 1
## 集合运算
# 交
set1 & set2
set1.intersecti... | [
"noreply@github.com"
] | doubleZ0108.noreply@github.com |
232137fe99281193eee58f17e65cc65bf909a510 | 72a729ba2c983f2892043b12d924390ecd8d381a | /ex8.py | 45867536faf584f548c9c0531baf0e1458088152 | [] | no_license | jskescola/exercicios_python_1-10 | e16118d3e929a2a679e902fbc34fd1b3ea2d536f | bcace34d28a40d52c5f97e5b895cb25b3566c0c8 | refs/heads/main | 2023-06-29T05:19:48.782802 | 2021-08-02T12:12:09 | 2021-08-02T12:12:09 | 391,932,942 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 266 | py | #8. Desenvolva um programa que receba duas notas de um aluno e calcule sua média.
nota1 = float(input('Digite a primeira nota do aluno:'))
nota2 = float(input('Digite a segunda nota do aluno:'))
print('A média do aluno foi de: {:.1f}'.format((nota1+nota2)/2)) | [
"noreply@github.com"
] | jskescola.noreply@github.com |
6dc6c66022879503e8e6ed4991cf188bd229eabe | 7029ca0804fd9440151736f3609e8b99e04c28f9 | /models.py | 9544bad927fc6c7db758f97f211d89b9a85803b7 | [
"MIT"
] | permissive | michaelzhou0723/proxprop | a27a8f0687d80ed7b73c739c7b0176fd95143b51 | 42ce2800564f2d4bd13d5e00ed70a745e8d630d2 | refs/heads/master | 2020-05-27T18:03:40.813381 | 2019-03-17T18:58:52 | 2019-03-17T18:58:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,176 | py | from functools import reduce
from operator import mul
import numpy as np
import torch
import torch.nn as nn
import torch.nn.init as init
import torch.utils.data as data
import torch.nn.functional as F
from torch.autograd import Variable
from ProxProp import ProxPropLinear, ProxPropConv2d
class ProxPropConvNet(nn.Mod... | [
"thomas.frerix@tum.de"
] | thomas.frerix@tum.de |
1c10c895290852f2ecfd26e2b92da019494cea1c | 18fd4062e7bdc626df99229eba78affa9b94859b | /flaskk/signals.py | 26c50cddb1a0a666f07caa501f7bbcae25547fce | [] | no_license | root-sudip/Search-Engine | 57290708924895a4d26dc5252a0300453b7d7b31 | e24db9e14e3330b59f140269cbd687ab338e95d6 | refs/heads/master | 2021-01-20T05:52:41.168438 | 2017-05-11T11:29:38 | 2017-05-11T11:29:38 | 89,817,062 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,155 | py | # -*- coding: utf-8 -*-
"""
flask.signals
~~~~~~~~~~~~~
Implements signals based on blinker if available, otherwise
falls silently back to a noop.
:copyright: (c) 2015 by Sudip Das.
"""
signals_available = False
try:
from blinker import Namespace
signals_available = True
except ImportError... | [
"touch.das@gmail.com"
] | touch.das@gmail.com |
5012216c82fce82b5a70774eb214395a73364ceb | 3846dc3c1597d7728ddae16fbdcd4b5f6f745124 | /benchmark/__init__.py | 8371bc9a56e99e85960b8b037c45751783d093b5 | [
"MIT"
] | permissive | OldhamMade/exemelopy | f4d49462333cd6e821651df188a7848bc18d213d | 5f5141b169e61a5b6912146a995917f5d862ee9c | refs/heads/master | 2020-03-25T13:08:34.010844 | 2015-02-20T16:41:54 | 2015-02-20T16:41:54 | 1,250,062 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 160 | py | from basic import BasicBenchmark
def main():
print 'Running benchmarks, please wait...'
BasicBenchmark().run()
if __name__ == '__main__':
main()
| [
"phillip.oldham@gmail.com"
] | phillip.oldham@gmail.com |
7ee1eb09f3b377ee80873031e80cd55c2156a3e4 | c27ea1b4a7947e850947d74508376f2658cb3fcc | /src/lib/item_utils.py | a026ceb2326990df6afdc797053052d0229b2aa8 | [] | no_license | bmdeveloppement/back_boe | 6441dc33ff13ececf582eac5146f106dd5152a72 | 6172886b55472f327d9a3c0d5c029998cc6e06bd | refs/heads/master | 2021-01-10T21:06:40.869072 | 2014-04-20T22:18:57 | 2014-04-20T22:18:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 134 | py | # -*- coding: utf-8 -*-
def copy_items(from_obj, to_obj, items):
for item in items:
setattr(to_obj, item, from_obj[item]) | [
"benoit.minard+1@gmail.com"
] | benoit.minard+1@gmail.com |
f2da3199f091814377b762e379e23c9ca123ddca | e2dc65bbd279b137f40ed4991cb00cecc28ad5ac | /venv/Scripts/rstpep2html.py | ce50914731eafffa0dc6d291dd8af68885d67712 | [] | no_license | zaka1/mj | 79278a22355f261d157e591bfc9b06c7f6d5ae39 | f43a2f205adcb2312db5d526f7432d7853be8afd | refs/heads/master | 2021-01-11T10:19:09.487400 | 2016-11-05T09:01:11 | 2016-11-05T09:01:11 | 72,414,237 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 683 | py | #!d:\mj\venv\scripts\python.exe
# $Id: rstpep2html.py 4564 2006-05-21 20:44:42Z wiemann $
# Author: David Goodger <goodger@python.org>
# Copyright: This module has been placed in the public domain.
"""
A minimal front end to the Docutils Publisher, producing HTML from PEP
(Python Enhancement Proposal) documents.
"""
... | [
"q2821408@yahoo.com.tw"
] | q2821408@yahoo.com.tw |
c93284732df89aa3c501500bf7a55d041b53fb72 | f77028577e88d228e9ce8252cc8e294505f7a61b | /web_backend/backend_services/nvl_tracker_service/---nvltracker_server_specification.py | 68efc79edf49df6b881f5f66c3a0c9d30b4aa1cf | [] | no_license | Sud-26/Arkally | e82cebb7f907a3869443b714de43a1948d42519e | edf519067d0ac4c204c12450b6f19a446afc327e | refs/heads/master | 2023-07-07T02:14:28.012545 | 2021-08-06T10:29:42 | 2021-08-06T10:29:42 | 392,945,826 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,146 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__version__ = '0.1.0'
# INSERT IN TO HW MODULE POSITION VIEW -> NOT USER ANY MORE
# TODO: REMOVE UNNECESSARY CODE
query_str_detect = """
INSERT INTO hw_module_position_view
(traceable_object_id, hw_module_id, position, raw_nmea,
meta_information, show_on_map, active, d... | [
"sudhakar@satmatgroup.com"
] | sudhakar@satmatgroup.com |
fe7f6915772aad3000be35c9ad18bfbfe1c29a61 | f51505ad716c39b22a5577ff7431ccbe87dec67e | /assignments/models.py | 97bbcf8e72718257fbc5013ff67f3002bcc9d9b3 | [] | no_license | klenth/demo_assignment_tracker | d9c8524e751d068372e8e54b33efa37be10e2d60 | cf48a9f00470d1cd0e9dad872d5d969ebe63d44d | refs/heads/main | 2023-08-14T14:15:36.526973 | 2021-09-14T18:47:18 | 2021-09-14T18:47:18 | 401,784,423 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 522 | py | from django.db import models
# Create your models here.
class Course(models.Model):
title = models.CharField(max_length=64, null=False, blank=False)
def __str__(self):
return self.title
class Assignment(models.Model):
course = models.ForeignKey(to=Course, null=False, on_delete=models.CASCADE)
... | [
"klenth@westminstercollege.edu"
] | klenth@westminstercollege.edu |
13345717d13107aaef24ff6a218de02358738b3b | 57c64accbc491e8fb1d026a93d189f68c72287b3 | /trabalho/trabalho/wsgi.py | 8d4a35ea812eb43e517db437b139d6929b02fd19 | [
"Apache-2.0"
] | permissive | Sparks-FIT/-404-----LMS- | fe0663de8a47fb1a336f3027725a27ef6fae6616 | bb429cf07aef6dfc90baa97591c05c09fb24b6d4 | refs/heads/master | 2021-08-22T04:56:21.793102 | 2017-11-29T10:36:37 | 2017-11-29T10:36:37 | 110,590,395 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 410 | py | """
WSGI config for trabalho 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.setdefaul... | [
"noreply@github.com"
] | Sparks-FIT.noreply@github.com |
8f2019f8cd0d5dc06b763af7e26628a31820a729 | 9d0ef5976b977338c05aca3931c8fab1a94de4de | /Decision Trees/metrics.py | b8cbf3c24fcdcbc9f1c540972d37d42dd4144a8a | [] | no_license | Flishworks/Machine-Learning | 0eef1f480c04f15ac038877f99874ecb8ec75f6e | a7f719550a25b15d26cdf364c691aef5d1c1745b | refs/heads/master | 2020-06-08T20:39:06.385960 | 2019-06-23T03:44:02 | 2019-06-23T03:44:02 | 193,303,054 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,844 | py | import numpy as np
def confusion_matrix(actual, predictions):
"""
Given predictions (an N-length numpy vector) and actual labels (an N-length
numpy vector), compute the confusion matrix. The confusion
matrix for a binary classifier would be a 2x2 matrix as follows:
[
[true_negatives, false... | [
"akazen@northwestern.edu"
] | akazen@northwestern.edu |
75783a7101f7271039173747d73fbd0e2ac83521 | 7132d06b8ae153815d124007c28bfe43686beb88 | /scripts/gen_hdf5_from_b.py | 2617502a8af985c54d16d4b719a973be3595a8d6 | [] | no_license | Rogety/TTS_DNN | a075aca2df0d100389a9cf323fa5b10cced8c61d | b84ed59664aa8c2eca7030c5f3b992a81da910c3 | refs/heads/main | 2023-07-22T20:48:12.400111 | 2021-09-03T13:49:06 | 2021-09-03T13:49:06 | 399,358,628 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,940 | py | import os
import sys
import h5py
import numpy as np
from os import path
import tts
import json
import argparse as ap
import torch as th
import torch.utils.data as data
import torch.optim as optim
import pdb
import shutil
import utils as ut
'''
SaveDirectory = os.getcwd()
print(SaveDirectory)
#h = ut.re... | [
"noreply@github.com"
] | Rogety.noreply@github.com |
56aed275e818acd116fab05130fc7723f21b448d | ff5404ecdac6281b982376fcb664f28fda46ecef | /mars/conftest.py | cb1dbcfd6c8b6a1f27e194de981a2a51f36b189e | [
"CC0-1.0",
"LicenseRef-scancode-unknown-license-reference",
"BSD-3-Clause",
"MIT",
"ISC",
"Apache-2.0",
"BSD-2-Clause"
] | permissive | qinxuye/mars | 628aa106214eb85bcc84d3b5b27761d4b51c57f8 | 6ffc7b909c790c2b4094d8a80bd749a6d90d2006 | refs/heads/master | 2022-06-17T04:58:57.885557 | 2022-06-06T12:11:11 | 2022-06-06T12:11:11 | 160,643,357 | 0 | 2 | Apache-2.0 | 2019-11-28T14:44:34 | 2018-12-06T08:28:59 | Python | UTF-8 | Python | false | false | 8,702 | py | # Copyright 1999-2021 Alibaba Group Holding Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | [
"noreply@github.com"
] | qinxuye.noreply@github.com |
716729a67b142fe506fc9e95c95763d0e754a439 | 0d3cc48ea0912ce3dbae4acbf0974b9bd2683d13 | /batch_norm_gradient_check.py | 82e2032cc0dc26863aa73565fb856c085d4835a4 | [] | no_license | maniizu/practice_DL | 3d6101f53fcc55f05344472a1a2e5667267ce9e1 | 0b9170a3b266bf5f7bc2d587061f9d4063e3d6fb | refs/heads/master | 2020-03-08T15:11:59.865870 | 2018-05-17T07:47:38 | 2018-05-17T07:47:38 | 128,205,399 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 797 | py | """
Name: batch_norm_gradient_check.py
Usage: ターミナルで python3 batch_norm_gradient_check.py
Description:
Batch Normalization の更新がうまくいくか調べる．
"""
import numpy as np
from train_NN import get_mnist_data
from multi_layer_net_extend import MultiLayerNetExtend
#データの読み込み
[x_train, t_train, x_test, t_test] = get_mnist_data(... | [
"hondakazunori@kc19.local"
] | hondakazunori@kc19.local |
ef8232552a837998f23b8c3784733729c73d6cef | 9ba97bf120f4bcc3a7844f8af9ddfd6592b5913b | /Exercicios Curso em Video/ex042.py | 7c24784966329ea7d92b64e5c9f8b1e4814a7120 | [] | no_license | renatomarquesteles/estudos-python | cbc1ae527e93f5282b7dadc1d6cc29778ea3b199 | 477e51393b1cef72cbf58f35acd85442dfe51e58 | refs/heads/master | 2020-07-08T10:59:51.054709 | 2019-10-08T21:52:33 | 2019-10-08T21:52:33 | 203,652,908 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 464 | py | s1 = int(input('Primeiro segmento: '))
s2 = int(input('Segundo segmento: '))
s3 = int(input('Terceiro segmento: '))
if s1 < s2 + s3 and s2 < s1 + s3 and s3 < s1 + s2:
print('Os segmentos acima PODEM FORMAR um triângulo ', end='')
if s1 == s2 == s3:
print('EQUILÁTERO')
elif s1 == s2 or s2 == s3 or s1... | [
"renatomarquesteles@gmail.com"
] | renatomarquesteles@gmail.com |
00d25ebb974f40d94fe4584e0efe92a3a94c5fe2 | 0123540469b176b0a9809d150c05714385676892 | /build/lesson_move_group/catkin_generated/pkg.installspace.context.pc.py | 68fc636c42dca0dcb5fa635f735d0c39b1481683 | [] | no_license | MarcoMura85/VisualHatpic | 9f27396e1e598bf3fbbe3a66a4616b0844e95b66 | a4033a298b5af556cf53f322703832b9b71d17ed | refs/heads/master | 2016-08-12T17:32:02.061211 | 2015-10-19T12:34:33 | 2015-10-19T12:34:33 | 44,103,395 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 539 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/yasmeen/MarcoStuff/catkin_ws/install/include".split(';') if "/home/yasmeen/MarcoStuff/catkin_ws/install/include" != "" else []
PROJECT_CATKIN_DEPENDS = "moveit_ros_planning_interface;moveit_core;... | [
"m.mura@sssup.it"
] | m.mura@sssup.it |
5269c25274b9f10bea869197ee9a4e6ac7b3ba56 | f272f2c40ae4668b9ea3483cc1b8593bb3c9a369 | /fit1.py | dd0cd02d07341ccea25450b73f3bd19fea57c731 | [] | no_license | rlin264/Misc | 8f36ec791b955c08cd635a0b12b95e1bb7a3150f | 4b9fd136d363d1b971a6d4dd4a36ad67be260601 | refs/heads/master | 2020-04-01T08:26:42.653471 | 2018-10-15T00:14:34 | 2018-10-15T00:14:34 | 153,030,855 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 717 | py | import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
def func(x, a, b, c):
return a * x ** 2 + b * x + c * x
x = np.array([1.45631068, 1.496010638, 1.537410318, 1.612036539, 1.624548736])
y = np.array([0.539, 0.588, 0.637, 0.686, 0.735])
popt_cons, _ = curve_fit(func, x, y, bo... | [
"noreply@github.com"
] | rlin264.noreply@github.com |
70623543690c376fabdc663860b226b007c66fc1 | 8240cbf57b645db8daaacf22bacba292a20ff0ca | /group3_ml_project/movies/migrations/0002_ml100kmovies.py | 83acea2f0035aede5bf8486c86b9a7d844a25ea6 | [] | no_license | bdowd91/Machine-Learning-Proj | 2f404179dd21c7dfd75ea2db31dc0568c9f99a67 | 5717dfafce02c8b5755717b1c40114d603b5b70e | refs/heads/master | 2022-06-20T02:56:58.922498 | 2020-05-08T12:17:01 | 2020-05-08T12:17:01 | 258,335,120 | 0 | 0 | null | 2020-05-08T12:11:17 | 2020-04-23T21:29:15 | null | UTF-8 | Python | false | false | 562 | py | # Generated by Django 3.0.6 on 2020-05-07 19:45
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('movies', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='ml100kmovies',
fields=[
('i... | [
"t_doan2@uncg.edu"
] | t_doan2@uncg.edu |
e570b7d3b542a041d082343d2e862fc29bf101fc | 581bcf321e0cc1cda534ec42632bc5902670e72f | /opportunities/urls.py | 80e28f154c9085e721d7358d8f9148dcfd895343 | [] | no_license | ToferC/careers | 55514869604b99a6a7ba77bc0f8758a9871006ef | 2d0144d54fc266667eb7a2204b15bd8915f1c163 | refs/heads/master | 2022-12-12T01:36:04.083525 | 2018-02-19T22:46:17 | 2018-02-19T22:46:17 | 122,020,129 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 525 | py | from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name='index'),
path('opportunity/<str:opportunity_slug>/', views.view_opportunity,
name='view_opportunity'),
path('review_applicants/<str:opportunity_slug>/', views.review_applicants,
name='review_appli... | [
"cgeist7@gmail.com"
] | cgeist7@gmail.com |
0289a7e6b86fdae225bf9306639ad41ed91abc54 | e0c9a8ee83d2fd8a61281b506365dba25d87ae08 | /manage.py | 103109d21aa99bb829d599396b4bc642752f570f | [] | no_license | kefassatrio/tugas-pti | 56ce626b94900287e72c382394a6838f4ea6b716 | e4c742946abde8a97b6abc6da8563d5435b64d12 | refs/heads/master | 2020-04-20T07:02:13.231719 | 2019-02-01T15:49:45 | 2019-02-01T15:49:45 | 168,700,909 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 542 | py | #!/usr/bin/env python
import os
import sys
if __name__ == '__main__':
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'TA_SBF_PTI.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. A... | [
"kefassatrio@gmail.com"
] | kefassatrio@gmail.com |
fb0929a7b7ba8e0ee3d8e6d0241e8039a33ad34c | df46db080e0e5892851988534d1706c879c1a939 | /nlmk/feature_selection.py | 01dbb3cf455b39963a3f1488818a11c35b2f851b | [] | no_license | ivbelkin/raai_nlmk | d2523cf77bb3af4792525bbcec150f0c10fc8bcc | d7baaed969d5b2c9398124f791dfe9318d69da04 | refs/heads/master | 2022-01-14T02:09:00.902470 | 2019-07-22T04:25:41 | 2019-07-22T04:25:41 | 198,215,601 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,442 | py | import numpy as np
import os
from tqdm import tqdm_notebook as tqdm
from collections import Counter
from multiprocessing import Pool
from sys import stderr, stdout
from copy import deepcopy
from xgboost import XGBRegressor
def add_del(params, train_X, train_y, valid_X, valid_y, features_init=None, n_workers=1):
... | [
"ilya.belkin-trade@yandex.ru"
] | ilya.belkin-trade@yandex.ru |
bc8d07d07fc59dbf3181e2e10dba2c7dc1c4c850 | 33d8fcecbca828085011a69b2aa29184e9f5be3f | /ascii.py | 61df7aae183ae79518bc6d0b2e1e0c815e267f11 | [
"MIT"
] | permissive | thomas-ayissi/EsotericTensorFlow | c68cf667dda8484e9feb87b8b86098e52218d705 | dd4dc4eb8297799418d1f1e6eeba8cee5c54a27e | refs/heads/master | 2023-03-17T03:24:02.331349 | 2017-11-17T08:02:03 | 2017-11-17T08:02:03 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 909 | py | #!/usr/bin/env python
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import tensorflow as tf
def ascii2char(x):
default = tf.constant('', dtype=tf.string)
table = tf.constant([chr(i) for i in range(127)], dtype=tf.string)
co... | [
"kimura.akim.asa@gmail.com"
] | kimura.akim.asa@gmail.com |
73baad18b527c56c73d4cd351649e759b1d161d3 | 8f2fe58d7d987507bba834f4bec67964b2c3bc6b | /server.py | 6cd0daddb28d7569cd413a2e2e928f677f9a54ca | [] | no_license | jlbagrel1/demo_web_spa | 963db1e5d1d7ac1df1858eb509edc28740b14e59 | 5d17a3ef86828aa430bf1162db2fc6715e626b7c | refs/heads/master | 2023-06-09T04:08:54.900631 | 2021-06-25T09:56:15 | 2021-06-25T09:56:15 | 380,175,667 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,103 | py | from flask import (
Flask, jsonify,render_template,send_from_directory,request,
)
from flask_cors import CORS
from base64 import b64encode
app = Flask(__name__)
app.config["DEBUG"] = True
CORS(app)
STATIC_DIR = "/home/jlbagrel/Bureau/demo_web_spa"
tickets_restants = 10
def creer_numero(n, nom, prenom):
retu... | [
"jloup.13.bagrel@gmail.com"
] | jloup.13.bagrel@gmail.com |
53297db8ae1040f1cbdd14102ee8561fab00635f | 8239a6d4f47e510c79b9ca9266bdae74a4a65c62 | /stats_scripts/LineageSeqAnalysis.py | 68d6e566ed1d2d4f744f5298e0094c85e4b864a5 | [
"Apache-2.0"
] | permissive | MitsuhaMiyamizu/altanalyze | 37e41e31be5b8e0bda3bbc21a49ae38a0e5bb0b1 | 6cf103d14eb0d1643345b23a82a73ed969e75d40 | refs/heads/master | 2022-12-16T00:45:33.075476 | 2020-09-13T19:49:06 | 2020-09-13T19:49:06 | 295,673,614 | 1 | 0 | Apache-2.0 | 2020-09-15T09:08:18 | 2020-09-15T09:08:18 | null | UTF-8 | Python | false | false | 3,442 | py | import sys,string,os
sys.path.insert(1, os.path.join(sys.path[0], '..')) ### import parent dir dependencies
import export
import unique
import traceback
""" Intersecting Coordinate Files """
def cleanUpLine(line):
line = string.replace(line,'\n','')
line = string.replace(line,'\c','')
data = string.replac... | [
"nsalomonis@gmail.com"
] | nsalomonis@gmail.com |
9006ea41b14767232ecfeab06e0a211bf3355c55 | 5e7a09799bcd965e94763439d2cdddb85e961f82 | /converter.py | 5abeeda33452121b95f9c0fdcd0eb7878c431c91 | [] | no_license | volsn/TextCorrector | c6fccf20d95db56a67085dfef5c0e303dc344890 | e232b1d8b3be8e9c5dbfd2d692a7c900b27bda0f | refs/heads/master | 2022-08-09T18:01:16.408447 | 2019-07-19T15:50:47 | 2019-07-19T15:50:47 | 197,633,686 | 0 | 0 | null | 2022-06-21T22:21:56 | 2019-07-18T17:58:11 | Python | UTF-8 | Python | false | false | 3,113 | py | import cv2
import numpy as np
import os
import svgwrite
def locate_letters(image):
output = image.copy()
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
ret, thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)
img_cnt, cnts, hierarchy = cv2.findContours(thresh.copy(), cv... | [
"noreply@github.com"
] | volsn.noreply@github.com |
59ffaa062f026bd109f7179f6a030914c71a1fcb | d8e28eadab859095e3653812d9d32ed4df3e8323 | /LeetCode/590.N-ary_Tree_Postorder_Traversal.py | 14d12b35e8d6822a87f32ae3dad801aefb5ab317 | [] | no_license | prashkumara/Data-Structures | d72b9e9845de7eeda62fd21b80e0942317ea85e1 | b95fe9a28aad61b54cc685ee7d44cb501f32e631 | refs/heads/master | 2020-04-15T11:30:40.121096 | 2019-05-02T11:10:14 | 2019-05-02T11:10:14 | 164,633,582 | 0 | 0 | null | 2019-05-02T11:10:15 | 2019-01-08T11:23:19 | Python | UTF-8 | Python | false | false | 498 | py | """
# Definition for a Node.
class Node(object):
def __init__(self, val, children):
self.val = val
self.children = children
"""
class Solution(object):
def postorder(self, root):
"""
:type root: Node
:rtype: List[int]
"""
res = []
self.dfs(root,r... | [
"prashkumar.a@gmail.com"
] | prashkumar.a@gmail.com |
88c11e5aa905c12f6ff1d2337df5c7c5f384719f | 2fa0ce90609924c807c66dac2d0435f50fc2213f | /clustering_coef.py | 6245d1ec8f8a0b7b1e4e0f3a9b2de3d1a66c84ed | [] | no_license | sheyma/nonlinear_dynamics | 3fd1f603989ba92e6b18b5a8f9ca9db152b1727b | c81e652aaa6489e7441a7dbc27dc783c57ca489b | refs/heads/master | 2021-01-01T20:42:05.656048 | 2014-07-16T18:14:36 | 2014-07-16T18:14:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,185 | py | #!/usr/bin/python2.7
# -*- coding: utf-8 -*-
import networkx as nx
import numpy as np
import itertools
import random
import math
import networkx as nx
from networkx.generators.classic import empty_graph, path_graph, complete_graph
import matplotlib.pyplot as pl
B = np.array([[0,1,1,1],[1,0,0,1],[1,0,0,1],[1,1,1,0]])
... | [
"seymaba@gmail.com"
] | seymaba@gmail.com |
6d5350b4a2529f526f2b40301f9e064b6f4d99f2 | 56062fb29e67a27585934add78343e066352c72c | /blog/models.py | 7ce064dc87da4930f7985609caaec49caf149169 | [] | no_license | AhmadKafi/blog_app | cb05a391c35df0ed91ea710e51e29182d0e435c1 | bd8edeee3f2fc92c8a98405605edde43be4bd7a5 | refs/heads/master | 2022-12-26T10:29:13.882569 | 2020-10-05T21:29:20 | 2020-10-05T21:29:20 | 287,182,863 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,061 | py | from django.db import models
from django.utils import timezone
# Create your models here.
class Post(models.Model):
author = models.ForeignKey('auth.User', on_delete=models.CASCADE)
title = models.CharField(max_length=200)
text = models.TextField()
created_date = models.DateTimeField(default=timezone.... | [
"kafi@Ahmadkafi.localdomain"
] | kafi@Ahmadkafi.localdomain |
7a00bbe92188c8b80c2648067c697f5945fa472f | 146db8997ca59945d63750089fe03aea2ce9c77d | /src/cool/compiler/checksemantics.py | 53716c10fcd96fc6a6045a9123e7faadf13429ca | [
"MIT"
] | permissive | arod40/cool-compiler-rodrigo-alejandro-jorge | 91321a99e42dd4aea15ac23b921b23399f53765c | 3647846cd4c8ad83c2698cbd941efde4fdb3ac85 | refs/heads/master | 2023-06-16T05:15:29.199042 | 2019-06-25T18:59:23 | 2019-06-25T18:59:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 17,175 | py | from cool.utils import visitor
from cool.structs.environment import *
import cool.structs.cool_ast_hierarchy as cool
from cool.utils.config import *
class CheckSemanticsVisitor:
def __init__(self):
self.errors = []
self.environment: Environment = Environment(self.errors)
@visitor.on("node")
... | [
"r.garcia@estudiantes.matcom.uh.cu"
] | r.garcia@estudiantes.matcom.uh.cu |
7dbe7a3f1fe497edaf1092a26bf86d082b359138 | 3ea205870103ac5557ef429e063a9b03f931ebb3 | /getData.py | 0ad18810cb188483015d13362a963afad4f3a745 | [] | no_license | bascoe10/flask-api-for-discoversalone-db | 05e192c61049cf0e974d73321c182e2fc019f3cd | fc6d08aa26ef3fb7b95687c589a132bfe338ae48 | refs/heads/master | 2021-06-07T12:59:22.316570 | 2015-11-05T15:36:50 | 2015-11-05T15:36:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,437 | py | #!/usr/bin/python
from flask import Flask,jsonify,abort, make_response
import MySQLdb, re
app = Flask(__name__)
db = MySQLdb.connect("localhost", "root", ENV["password"], "db_name")
@app.route('/api/v1.0/all', methods=['GET'])
def all():
hotels = get_hotels()
return jsonify({'HOTELS': hotels})
@app.route('/api... | [
"bassco10@gmail.com"
] | bassco10@gmail.com |
7e813c0b2cfbb074bc7a5adfa1cbe7ec0151f91d | 44bacf97ba9e92e6460a58a423db6cdfc09c9b74 | /HTML_JS/Week5/Multiples1.py | 87ebf59173c8538b9b7330c1a8b8eb019cbb7da0 | [] | no_license | junhwang77/Jun-s-Repository | ce0f3e20f54ad356ef95af85dbe3e6c03291b0d8 | 4bc35c04586948d59ab9d93dcb918e96f838f8f6 | refs/heads/master | 2021-01-19T21:45:18.335953 | 2017-04-19T04:58:35 | 2017-04-19T04:58:35 | 88,701,284 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 71 | py | for count in range (1, 1000):
if count%2 != 0:
print count
| [
"junhwang@Jun-Hyuns-MBP.hsd1.ca.comcast.net"
] | junhwang@Jun-Hyuns-MBP.hsd1.ca.comcast.net |
b8e8b3edbc2c89ee54390fb4adb926604db20551 | 4716b0a77fc101e7268b4e7b5372dc501d22c5ae | /src/MyData.py | 5f4ef1c818b91bdb36280fde10e81fd7c38c97fd | [] | no_license | chinasilva/cat_vs_dog | 81e3100b2d09aa000a743ab033b8600c33899b39 | fe6fb6547024e0ceb00ac9c73b5cc45683624189 | refs/heads/master | 2020-05-28T02:56:24.109573 | 2019-05-28T13:12:48 | 2019-05-28T13:12:48 | 188,852,987 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,075 | py | import os
import torch
import numpy as np
from torch.utils import data
from PIL import Image
class MyData(data.Dataset):
def __init__(self,path):
super().__init__()
# self.dataset=dataset
self.path=path
self.dataset=[]
# 以列表形式链接所有地址
self.dataset.extend(os.listdir(path... | [
"YSP@email.com"
] | YSP@email.com |
1a340439e7d0d09ad7a844c67259b4dc90b85c4d | 0220af0584cb5b9df56aa09d81b8d450b3733156 | /Easy/Brackets, extreme edition.py | 18465f2c9047fb2f5ace051d71f045df83879a21 | [] | no_license | SpiralT/Codingame | 5cb1afbe58daccd9c1474a369b700e5a31a2684a | d4c4e0a4754870740f2db6bafa981e78461ca9d8 | refs/heads/master | 2020-06-11T16:14:05.504063 | 2019-07-02T14:20:05 | 2019-07-02T14:20:05 | 194,020,120 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 650 | py | import sys
import math
# Auto-generated code below aims at helping you parse
# the standard input according to the problem statement.
expression = input()
opens = tuple("{[(")
close = tuple("}])")
match = dict(zip(opens,close))
check = []
for i in expression:
#print("i is",i)
if i in opens:
check.a... | [
"noreply@github.com"
] | SpiralT.noreply@github.com |
6000db7daccd37a78e2c96d02dc7fc51ee9b2d74 | 7d787c2f9b2cb2130a1f3b8cdbc773d2d157b85e | /2012/03/blogging-with-wordpress/set-to-publish.py | 20637ded020320c445bf5239887143011ca378bd | [] | no_license | ananelson/dexy-blog | 632162996937b36832f57d1dde1867fc5c8237ea | 70402f003bd471ac6e4277e8ec168ef84328b6cf | refs/heads/master | 2016-09-01T18:58:38.102986 | 2015-01-28T04:44:13 | 2015-01-28T04:44:13 | 3,689,629 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 210 | py | import json
import sys
filename = sys.argv[1]
with open(filename, "rb") as f:
data = json.load(f)
data['publish'] = True
with open(filename, "wb") as f:
json.dump(data, f, sort_keys=True, indent=4)
| [
"ana@ananelson.com"
] | ana@ananelson.com |
edd8e5eff2a1895c50da85b6e8978dc81f62a573 | dc25934eaf8ec6f4eb6b91db48e53554243dad18 | /utils/data_pro_for_nnsum.py | e6fb147424c6ae8d00bfa2be95b5c75b070dd2be | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | Warren195/ecml-pkdd-2019-J3R-explainable-recommender | 7bf70b4e84545020fed2a885dfd9fd0eed7b9579 | e3de264bca9b7f4de1026527341ff519d8ab6856 | refs/heads/master | 2020-09-15T04:50:33.642127 | 2019-07-16T11:29:01 | 2019-07-16T11:29:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,918 | py | import numpy as np
import re
import itertools
from collections import Counter
import csv
import os
import pickle
import argparse
import spacy
import sys
import tensorflow as tf
import codecs
from nltk import word_tokenize
import json
def mkdirp(path):
if path == '':
return
try:
os.makedirs(path... | [
"avinesh@aiphes.tu-darmstadt.de"
] | avinesh@aiphes.tu-darmstadt.de |
a7bc9a7df0c9d94eb1eede66c7194282299df1c4 | e7ed228f9f54d3911e3ee76dd7876bce2609240e | /src/christmas_tree_firework.py | 853e0628462b053fd4d3cd55f48e019cd0e2e501 | [] | no_license | Inndy/tkinter_samples | ea1f8f30b11e78e6925a6f4318c9db3174026b8d | a5e299694caa6040024b60769fee8f1acbcaaf2e | refs/heads/master | 2023-08-31T10:22:12.192690 | 2015-06-07T06:27:48 | 2015-06-07T06:27:48 | 37,006,955 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,652 | py | import random
import math
from tkinter import *
colors = [ "#00f", "#0f0", "#0ff", "#f00", "#f0f", "#ff0" ]
def draw_triangle(canvas, top, dx, dy):
p1 = (top[0] - dx, top[1] + dy)
p2 = (top[0] + dx, top[1] + dy)
canvas.create_polygon(top + p1 + p2, fill = "#0B610B")
def draw_christmas_tree(canvas, top, n... | [
"inndy.mail@gmail.com"
] | inndy.mail@gmail.com |
7f2b05a37101aba648ba6c7debe31e448876d76b | 23d474495347a5270006356e36ac074a7650b350 | /helper.py | 9d463c265e248063c04455e8d1289896ebc6f404 | [] | no_license | kailunxu/eecs445_pj1 | bbcad171740c2b8edec0d904e948a180c4e12571 | fa2c54a0173a64e2e8b36127978c9178d5a1c78a | refs/heads/master | 2020-12-28T10:59:43.403072 | 2020-02-04T20:51:22 | 2020-02-04T20:51:22 | 238,302,208 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,651 | py | # EECS 445 - Fall 2019
# Project 1 - helper.py
import pandas as pd
import numpy as np
import project1
def load_data(fname):
"""
Reads in a csv file and return a dataframe. A dataframe df is similar to dictionary.
You can access the label by calling df['label'], the content by df['content']
the ratin... | [
"xukailun@dc3sp13.dc.umich.edu"
] | xukailun@dc3sp13.dc.umich.edu |
05178addab477cfead26f5762abbc06e719fc755 | 70cd46dcd43c6a2e197043f70d664abc7b203251 | /aliyun-python-sdk-ecs/aliyunsdkecs/request/v20140526/ModifyInstanceMaintenanceAttributesRequest.py | 877c6b6b68a8af5af3a553860b5087a1c0b72363 | [
"Apache-2.0"
] | permissive | gbhayana96/aliyun-openapi-python-sdk | 2d5e6aaeafba28d6735bff51f1ae2ea60f1bc5fb | 59c93f507342bc094ca7d7cf244a611ce2eb5c40 | refs/heads/master | 2023-03-01T18:27:57.938577 | 2021-02-08T02:28:19 | 2021-02-08T02:28:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,174 | py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | [
"sdk-team@alibabacloud.com"
] | sdk-team@alibabacloud.com |
16c2af5664d1d04814a411a2f4af13814e1c0552 | 1c015a97448e5390aa501dc5a8347579611463ef | /features/steps/login.py | d949827124bf72c07c47df87f339da552a72bdaf | [] | no_license | kruczyna/behave_python_with_page_object | 442e627f9b8cc9cd525351e8503d6fade1585f6f | f3b5894d848ffbfd7c1d628d8a754d1d00f2b061 | refs/heads/master | 2022-04-04T03:10:16.106446 | 2020-02-23T10:43:37 | 2020-02-23T10:43:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 709 | py | from behave import given, use_step_matcher, when, then
from features.page_objects.login_page import LoginPage
use_step_matcher("re")
@given('I navigate to Sign In form')
def main_page(context):
page = LoginPage(context.driver)
page.navigate_to_sign_in()
@when('I submit "([^"]*)" and "([^"]*)"')
def submit... | [
"victoria.kruczek@stxnext.pl"
] | victoria.kruczek@stxnext.pl |
9354365fdbc89661fb16a9f1d392e782d4f4d306 | fc2c13f82401bf3476d306ca83a6971933cfcd9b | /pairsamtools/pairsam_phase.py | 4f9a9602df5623df18d5e4b272e5190017bdb32e | [
"MIT"
] | permissive | OlgaVT/pairsamtools | e86750485f84d1dd4527855634fc0713e45f470d | a951a3982e464a62b93c8e8594436f5a2d7b1f2d | refs/heads/master | 2020-03-17T11:04:38.449324 | 2018-05-08T11:17:44 | 2018-05-08T11:17:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,658 | py | import sys
import click
import re, fnmatch
from . import _fileio, _pairsam_format, cli, _headerops, common_io_options
UTIL_NAME = 'pairsam_phase'
@cli.command()
@click.argument(
'pairsam_path',
type=str,
required=False)
@click.option(
'-o', "--output",
type=str,
default="",
help='out... | [
"agalitzina@gmail.com"
] | agalitzina@gmail.com |
cefce502e45b0f5489d3a2c4b13d4c0838bba046 | 6a61f19dd5e5d8cc9e6d7c20af2df93a17a85d94 | /Notes/Python/src/exercise/reverse_iter_demo.py | 71c5a85d2527fd411d9e15c701ae09b097c205fa | [
"MIT"
] | permissive | liuhll/BlogAndNotes | 4d6e8aa426a6bb511c4b2c16039bdfb60ccaf13b | 23b3b69178b0616837cd6f0b588bda943366b448 | refs/heads/master | 2021-06-12T06:00:28.489670 | 2016-12-12T14:25:48 | 2016-12-12T14:25:48 | 65,984,223 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 671 | py | # -*- coding:utf-8 -*-
class FloatRange(object):
def __init__(self,start,end,step=0.1):
self.start = start
self.end = end
self.step = step
def __iter__(self):
t = self.start
while t <= self.end:
yield t
t += self.step
def __reversed__(self)... | [
"1029765111@qq.com"
] | 1029765111@qq.com |
80553f6f8277ae9b88e910fd2ce12233c9070760 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p02389/s602338133.py | 30cae6914208cdbb7161fe208d08cdf68b405004 | [] | 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 | 64 | py |
k = map(int,raw_input().split())
print k[0]*k[1],k[0]*2+k[1]*2 | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
19160147765c6671b5a24625c6fcd96f28b45701 | dc965a62709bbb2c6c9ad01859a83507d7457941 | /Assignments/Class Assignments/ownfromkeysMethod.py | d6966305ed7b2703cc1cfe6cc77ddcc6e01db57a | [] | no_license | JyotiSathe/Python | ead31a84cde86d734acdf0ad83c27c6bb1c1a331 | 846371d678ba225c210493605233b262a51bd950 | refs/heads/master | 2021-05-11T22:38:30.299035 | 2018-06-24T14:08:37 | 2018-06-24T14:08:37 | 117,364,196 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,225 | py | def fromkeys_my(x,y):
temp={}
if(type(y)==int):
temp=dict.fromkeys(x,y)
else:
i=0
if(len(y)>=len(x.keys())):
for key in x:
temp[key]=y[i]
i+=1
elif(len(y)<len(x.keys())):
for key in x:
if(len(... | [
"noreply@github.com"
] | JyotiSathe.noreply@github.com |
1f0b4dca55699e00e3c7e179f5cb4a1a40c1a91b | 2080822bc6a185c7b76e11dd6f0cfa7f1d2c3e5e | /lib-test/test_serialize.py | 9510b866528e09d88a6d80f4968091260f633f53 | [] | no_license | yunlongmain/python-test | 13cbd4ca89397547a404622ca683053d1179b7a9 | 791d714651bbf132e21ba89b83e31d7a200ed05e | refs/heads/master | 2020-04-06T07:00:10.241178 | 2015-04-13T08:43:58 | 2015-04-13T08:43:58 | 33,234,227 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 533 | py | # coding=utf-8
'''
cPickle包的功能和用法与pickle包几乎完全相同 (其存在差别的地方实际上很少用到)，不同在于cPickle是基于c语言编写的，速度是pickle包的1000倍
如果想使用cPickle包，我们都可以将import语句改为:
'''
import cPickle as pickle
# define class
class Bird(object):
have_feather = True
way_of_reproduction = 'egg'
summer = Bird() # construct an object
... | [
"yunlong@baidu.com"
] | yunlong@baidu.com |
87b90834369ef9117e632a6ed4d575c6e8ab8f1b | 53fab060fa262e5d5026e0807d93c75fb81e67b9 | /backup/user_011/ch29_2019_04_12_15_04_40_053669.py | 9f61e6f295344ce342be9d70439027af77e7c7e8 | [] | no_license | gabriellaec/desoft-analise-exercicios | b77c6999424c5ce7e44086a12589a0ad43d6adca | 01940ab0897aa6005764fc220b900e4d6161d36b | refs/heads/main | 2023-01-31T17:19:42.050628 | 2020-12-16T05:21:31 | 2020-12-16T05:21:31 | 306,735,108 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 125 | py | def calcula_aumento(x):
calcula_aumento=x*0.10
if x<=1250:
calcula_aumento=x*0.15
return calcula_aumento
| [
"you@example.com"
] | you@example.com |
e8161252e675f5b794937524d2cf6fe8ac4544e2 | a9bc638b83cbb4023bf9ee974b258922a6b4e19b | /projeto/consulta/models.py | c8ad218375a926785389e7ac6e1ad9904ea99064 | [] | no_license | ThiagoRossiRocha/sistemaPythonDjangoTriagemCovid19 | 9916205cee622019a3076da8ca414d2f57128088 | 25a9cced7b09b9621dd7a4b1f0461de7c2e17789 | refs/heads/main | 2023-04-29T23:00:55.391971 | 2023-04-13T14:29:52 | 2023-04-13T14:29:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,392 | py | from __future__ import unicode_literals
from datetime import datetime
from django.core.validators import MaxValueValidator, MinValueValidator
from django.conf import settings
from django.db import models
from django.urls import reverse
from django.utils.translation import ugettext_lazy as _
from utils.gerador_hash im... | [
"alexandre.o.zamberlan@gmail.com"
] | alexandre.o.zamberlan@gmail.com |
c8d4fac6b49562381cb01ed28c0a2a36f666b573 | 004f8f49e335f8e41462eae512bbe20d750fce8c | /rldb/db/paper__dudqn/algo__human/__init__.py | b357cc070b9982d22f87cc8a797e54ab755442e6 | [
"MIT"
] | permissive | seungjaeryanlee/rldb | 3ab4317e26a39e6fa9b6e7ed9063907dc6a60070 | 8c471c4666d6210c68f3cb468e439a2b168c785d | refs/heads/master | 2020-04-29T15:50:26.890588 | 2019-12-19T08:31:12 | 2019-12-19T08:31:12 | 176,241,314 | 52 | 2 | MIT | 2019-05-16T06:33:17 | 2019-03-18T08:54:24 | Python | UTF-8 | Python | false | false | 425 | py | """
DuDQN scores from DuDQN paper.
114 entries
- 49 human entries from Gorila DQN
------------------------------------------------------------------------
65 unique entries
"""
from .entries import entries
# Specify ALGORITHM
algo = {
# ALGORITHM
"algo-title": "Human",
"algo-nickname": "Human",... | [
"noreply@github.com"
] | seungjaeryanlee.noreply@github.com |
68e787e4648287ca6ae2ab5203c404c0bd1053f8 | 9102f34f89867d2cc9b31ba64ab352019ccdc623 | /wordSegment/lstm.py | b950a3172be32ade046029511c07e89968cd342c | [] | no_license | sadscv/NLP_assignment | 8d8632ac17da68620d66b13aef6858997d3912a7 | 3231f96810e188d1d54dee0c521b703eac68d1a3 | refs/heads/master | 2021-01-17T15:46:52.435967 | 2017-06-13T13:08:09 | 2017-06-13T13:08:09 | 83,686,202 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,729 | py | import os
import theano
import theano.tensor as T
import numpy as np
class LSTM(object):
def __init__(self, embedding_dim, hidden_dim, num_clas, wind_size, vocab_size, bptt_truncate=-1):
'''
embedding_dim : dimension of word embeddings
hidden_dim : dimension of hidden layer
num_... | [
"sadscv@hotmail.com"
] | sadscv@hotmail.com |
44131fa42f5759fc67f906e586dd6a2cf2a72c78 | 10388e24c0668a6176d2b961a9465bc02e3535b9 | /lib/ua/agents/yahoo.py | 36573fd8724de97f4047bb88557e9bd620722092 | [
"BSD-2-Clause"
] | permissive | hdknr/ua | 5d6e90b23b94200136ceb3be986566df066c8fcd | bc41f5b46fb99d0d576c7542c2184b39679f4ebf | refs/heads/master | 2021-05-16T02:03:18.266356 | 2016-10-02T20:55:07 | 2016-10-02T20:55:07 | 18,771,412 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 111 | py | ''' Yahoo Bot
'''
from . import BaseAgent, DeviceClass
class Agent(BaseAgent):
CLASS = DeviceClass.OTHER
| [
"hdknr@ic-tact.co.jp"
] | hdknr@ic-tact.co.jp |
8073129917effeaa239d559288fe4dff61937ca0 | 37fdc797f0060a67c1e9318032bc7102d4fd9ecd | /spider/beautifulsoup_test/lib/python3.7/site-packages/twisted/conch/ssh/keys.py | fe5798703c0ab2b1464a40a85cc1d996b054efc6 | [
"LicenseRef-scancode-unknown-license-reference",
"MIT"
] | permissive | Change0224/PycharmProjects | 8fa3d23b399c5fb55661a79ca059f3da79847feb | 818ba4fd5dd8bcdaacae490ed106ffda868b6ca4 | refs/heads/master | 2021-02-06T15:37:16.653849 | 2020-03-03T14:30:44 | 2020-03-03T14:30:44 | 243,927,023 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 55,143 | py | # -*- threading_test-case-name: twisted.conch.threading_test.test_keys -*-
# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Handling of RSA, DSA, and EC keys.
"""
from __future__ import absolute_import, division
import binascii
import itertools
from hashlib import md5, sha256
import base6... | [
"lijj0224@163.com"
] | lijj0224@163.com |
4ad6c645c3472bd641fdab6e780eb708a37c8502 | 8a7071ecb065b03a5ed5d685bffa34109a728c45 | /Pandas/06_summary_of_dataframe.py | dd601e6fcbad51faadd76bf0425d0b6ae2550138 | [] | no_license | RinkuAkash/Python-libraries-for-ML | a932dfc0aefae15e4c9047075b5de9de32207b39 | c9e4393631b4b77b71e771021f4946f900c091b3 | refs/heads/master | 2020-12-14T11:48:29.131421 | 2020-01-24T12:19:38 | 2020-01-24T12:19:38 | 234,731,712 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 715 | py | '''
Created on 21/01/2020
@author: B Akash
'''
'''
Problem statement:
Write a Python program to display a summary of the basic information about a specified Data Frame and its data.
Sample Python dictionary data and list labels:
'''
import pandas as pd
import numpy as np
exam_data = {'name': ['Anastasia', 'Dima', ... | [
"akashrinku2@outlook.com"
] | akashrinku2@outlook.com |
b87e493684eee5cb2ba9da10d55a6b2bef34c4b5 | adb47f48c7cf998ec673ec7c975e71fbbcdc65d9 | /maximising_xor.py | 0282d03832694b7f019f4c0970dea95509101574 | [] | no_license | jamoemills/misc | 6f9d362926d05b587bd10735cdfeb4ee3f8252a0 | 9fc011b6ccaf0f549ae38023c57be0df61942085 | refs/heads/master | 2021-01-11T03:17:48.158088 | 2015-01-20T12:19:06 | 2015-01-20T12:19:06 | 28,448,119 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 360 | py | #!\usr\bin\python
# -*- coding: utf-8 -*-
import sys
def maxXor( l, r):
Xor_values = []
x = r - l
while x != 0:
for i in range(l + x, r + 1): # O(n**2)
Xor = (l + x) ^ i
Xor_values.append(Xor)
x -= 1
return max(Xor_values)
_l = sys.stdin.readline()
_r = sys.stdin.readline()
_l = int(_l)
_r = i... | [
"jamiermiles@me.com"
] | jamiermiles@me.com |
0269e2a46b181e82f34c2d0a59334f0cbc1bfd5d | fd09b4aff625d7a7c960e10af3c12a1107085c65 | /01_using_azure_ml/project_1_optimizing_an_ml_pipeline_in_azure/train.py | 89ceed821b5eb7f1642bde97e8eb3f547e9e4dc6 | [] | no_license | sebastianbirk/udacity-aml-engineer-nanodegree | d5eb752f63662ffae39001aba1050abb224d28f1 | ce31bd06b7a925cc8cbc61330e71fdff779b5ea7 | refs/heads/master | 2023-02-02T04:37:26.236319 | 2020-12-18T15:39:04 | 2020-12-18T15:39:04 | 318,105,050 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 3,002 | py | from sklearn.linear_model import LogisticRegression
import argparse
import os
import joblib
import numpy as np
from sklearn.metrics import mean_squared_error
import joblib
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import OneHotEncoder
import pandas as pd
from azureml.core.run impor... | [
"sebastian.birk@outlook.com"
] | sebastian.birk@outlook.com |
5fe834ca4a1aa9f6217f7c8772b850527aa6581d | 6646f40d8a43c03e3499141d3388220add677d94 | /exception.py | c16aeaf1d1a6781737d1c1ba9c172791a4bd4377 | [] | no_license | andrewnnov/Auto_py | 63a14bc7d6532d3b02ac7a59e02d82c2fe2aad53 | cf3aa1b7cfde4f305282f44164a7af24c24b03be | refs/heads/master | 2021-02-20T23:56:55.851037 | 2020-04-21T19:29:59 | 2020-04-21T19:29:59 | 245,347,276 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 733 | py | def boxPrint(symbol, width, height):
if len(symbol) != 1:
raise Exception('Переменная symbol должна быть односимвольной строкой.')
if width <=2:
raise Exception('Значение width должно превышать 2.')
if height <=2:
raise Exception('Значение height должно превышать 2.')
print(symbo... | [
"andrewnnov@yandex.ru"
] | andrewnnov@yandex.ru |
e2a3e21bc440b7674cd5fa8ed950cbe961441ebb | 4f409ce499d941139e8db3afadc9a880947c01c0 | /Experiments/DBpedia/VBMLTM/p_error.py | 4652df0838ea5453cd95f1b3b78bcf809f1450eb | [] | no_license | manirupa/MLTM | 62177b9648f02fd529e558e8d41cedf864dc5211 | 355c469a814b50618a31bdbdd550ccdad8ed543b | refs/heads/master | 2020-06-23T02:28:01.188003 | 2017-04-02T14:24:04 | 2017-04-02T14:24:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,177 | py | import numpy as np
import os, re, sys
#from sklearn import metrics
#from sklearn.linear_model import LogisticRegression
#sys.path.insert(0, '/'.join(os.getcwd().split('/')[:-4]))
#import myAUC
#Code = '../../../../../Code/MLTMVB/MLTMVB'
#LDACode = '../../../../../Code/LDA_VB_Parallel/lda_vb'
Datapath = '../../../Dat... | [
"hosein.soleimani@gmail.com"
] | hosein.soleimani@gmail.com |
ace86fe08576352c4ef4471b8c321b4110a7ab16 | c4bb2d8ecc521287afeba251a176d7a8837b6bf7 | /sentences/classify_parser/science_spot_parser.py | 1c80da77a5f2b94a31b57f93ff4373ee111613a0 | [] | no_license | 17680329677/Forestry_LAW | 057080e175ffa4aab50a1751f75a3f63c757b926 | 4b9bd2c3e1b614f6f180950f169fc9eebe028a8e | refs/heads/master | 2022-12-22T06:36:44.838644 | 2020-06-13T09:54:08 | 2020-06-13T09:54:08 | 204,466,380 | 16 | 3 | null | 2022-12-08T07:01:26 | 2019-08-26T12:01:41 | Python | UTF-8 | Python | false | false | 3,071 | py | # -*- coding : utf-8 -*-
# coding: utf-8
# 风景名胜管理条例相关法律法规的解析---并存入mysql数据库中做初步的格式化
import os
from data.property_collect import law_parse
from data_resource import conn
def science_spot_parser(file_path):
dir_path = "C:\\Users\\dhz1216\\Desktop\\washing\\风景名胜"
file_name = file_path.split("\\")[-1]
cursor =... | [
"laobahepijiu@163.com"
] | laobahepijiu@163.com |
7412475f7a6305dc02e7b0f8dced96e2ee15c394 | 4000a83fdd095726d382eeb55552dff3db688cc1 | /LoadAndDeliverPackages.py | ce80b6e05bf710d942dd699a2dec0701c18da5d2 | [] | no_license | JasonPBurke/Package_Delivery_System | 3f02856c18d3a866239e810a05d8f3ce71500274 | ba59cde436951aa82560cabd93daf4ce08d76c07 | refs/heads/master | 2020-05-06T15:34:45.649589 | 2019-04-25T21:18:03 | 2019-04-25T21:18:03 | 180,197,249 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 20,851 | py | # Jason Burke
from QuadraticProbingHashTable import EmptyBucket
from interface import interface
from truck import Truck
from datetime import datetime, time, timedelta
# This greedy algorithm will find the closest vertex from our starting hub vertex(WGU)
# and add the package(s) to the first truck that are to be deliv... | [
"jpburke77@gmail.com"
] | jpburke77@gmail.com |
fee5d4a3265c202f2fc23c7c9191ad8f717f107d | bf5a4d4d943d1a6f398bb4a0703f602fc825f846 | /gym_SmartPrimer/examples/plotAgentAnalysis.py | 8ed67cc7487b1c79afbd2c9ff8d70d50f7afd883 | [
"MIT"
] | permissive | StanfordAI4HI/SmartPrimer_Gym | b76ea0bc1bbd2aa94cb59c2351095461181babbe | 12f379ed9553c75f0e2924d11d603a2e975a1871 | refs/heads/main | 2023-08-18T04:31:10.030153 | 2021-05-15T16:46:17 | 2021-05-15T16:46:17 | 354,095,079 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 322 | py | import numpy as np
data = np.loadtxt('/Users/williamsteenbergen/PycharmProjects/SmartPrimerFall/gym_SmartPrimer/examples/actionResultsAcrossModels', delimiter=',')
dataSeed = np.loadtxt('/Users/williamsteenbergen/PycharmProjects/SmartPrimerFall/gym_SmartPrimer/examples/actionResultsAcrossModelswSeed', delimiter=',')
a... | [
"wsteen@federato.ai"
] | wsteen@federato.ai |
3e188b609c688851ce26ca9a52386d9c724d1b03 | f782a8e8ba31a09c03d160c5813b592590e4ab1e | /rugby_team_create/urls.py | a5fe9153c5f304c851eefb62daa0a8ece868d576 | [] | no_license | nicemiddle/rugby-team-create | fdba9b9542232f9c50da968671a13a26cc75c3b4 | a97cecf7e82efc9dd698624878fcbea7502132c7 | refs/heads/master | 2022-05-31T21:59:25.701082 | 2020-05-05T04:25:47 | 2020-05-05T04:25:47 | 254,811,406 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 716 | py | from django.urls import path
from . import views
app_name = 'rugby_team_create'
urlpatterns = [
path('top/', views.TopTemplate.as_view(), name='top'),
path('team_list/', views.TeamList.as_view(), name='team_list'),
path('team_detail/<int:pk>', views.TeamDetail.as_view(), name='team_detail'),
path('tea... | [
"p20lite1108@gmail.com"
] | p20lite1108@gmail.com |
231cbae623fed0554cc23c8c6a61a1fc68693fe3 | cd9031cd698d23b4117106e1fba1a26c74e543a9 | /dattq/logger.py | 0091cb9bee575406b6f909a8b1969e6f0fb0f221 | [] | no_license | dattran2346/rsna-2019 | 89150cdec26da3fcdb67125b50925efaa9a027da | d454e049a267fdade1a81a02a696a0cb3ad33b5b | refs/heads/master | 2020-09-18T18:45:40.115631 | 2019-11-26T14:28:18 | 2019-11-26T14:28:18 | 224,168,197 | 10 | 2 | null | null | null | null | UTF-8 | Python | false | false | 4,714 | py | import logging
from pathlib import Path
from terminaltables import AsciiTable
import time
import sys
import numpy as np
class TrainingLogger:
## TRAINING LOGER
def __init__(self, args):
## Setup training logger
# checkdir = Path(f'{args.checkdir}/{args.checkname}')
self.args = args
... | [
"v.datnt41@vingroup.net"
] | v.datnt41@vingroup.net |
b1f7422ef4b4a059e84976566cc78d4d683fde87 | c3d8e82100f02482f1a9ea1fa8e92e176982ecee | /printable.py | 9766102c5013de00fe1dd9257c6942e68f14ccb2 | [] | no_license | sopoour/blockchain-python | ba83704c20a0c1b06486b4307c9eb65adfa1a1ba | 2bc9e18a5ffbe2bbb617f8cd4b6029007843b29f | refs/heads/main | 2023-06-01T06:55:55.942060 | 2021-07-05T19:01:40 | 2021-07-05T19:01:40 | 265,257,624 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 183 | py | class Printable:
#Convert the transaction objects to a dict and in order to be printable as string convert that to string
def __repr__(self):
return str(self.__dict__) | [
"sophia,auer@googlemail.com"
] | sophia,auer@googlemail.com |
88cc5ef0a54f620a14398b2249217be062c7e877 | 6e5e455223109d808ce6397beddb71be25c3d8eb | /builder/__init__.py | 962f058f1a1f7a280ea451d89ea1445847ce2d9e | [] | no_license | tdesposito/Pi-Appliance | cfbba185ebe40660ddb2fa400286dc5340504b80 | 355dbbd5aedba3a70dcc6c3323da3735fd94bd93 | refs/heads/main | 2023-04-04T14:34:53.434970 | 2021-04-20T19:35:38 | 2021-04-20T19:35:38 | 357,302,269 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,968 | py | # Builder - common functions
import functools
import json
from pathlib import Path
import subprocess
from urllib.parse import urlparse
CONFIG_FILE = Path(__file__).parent.parent / "appliance_config.json"
SECRETS_DIR = Path(__file__).parent.parent / 'secrets'
SECRETS_FILE = SECRETS_DIR / 'secrets.json'
SECRETS_NAMES = ... | [
"todd@toddesposito.com"
] | todd@toddesposito.com |
cedc61464047cd576e65a826c10359d22cbf1609 | 72774acfc4aebe83b40cab2b57046b3fd46cdadc | /main.py | aad820b048399dfc0592ff771ef11f0546dfb9b0 | [] | no_license | matosagencia/Functions-to-MySQL | b06cdcb7d75533d1ab3712084c5ca8ca32e75cd1 | 46ae32284c6eb3077ec5d633270263bec16e2a83 | refs/heads/main | 2023-04-22T00:16:12.892881 | 2021-04-27T08:02:06 | 2021-04-27T08:02:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,742 | py | from mysql.connector import connect
#show_schemas = "SHOW SCHEMAS"
#params = None
# ################################## >>>>>> FUNÇÃO DE EXECUÇÃO <<<<<< #########################################
def execute(sql, params=None):
# Executa um comando no mysql e salva os valores. Serve para:
# insert, upd... | [
"noreply@github.com"
] | matosagencia.noreply@github.com |
471512ef653813c7a297681963b7ff21e648036a | bd10597dc133237e68d07d8d6f9a2a1914e551ad | /MCA/Machine Learning/swap.py | 6bf8294e6020ae1bffac2e3d6670237ee697ea7c | [
"MIT"
] | permissive | muhammadmuzzammil1998/CollegeStuff | a1bf16a3d9a5b8586c10dd4ea2c0078baaae64fa | 618cec9ebfbfd29a2d1e5a182b90cfb36b38a906 | refs/heads/master | 2021-12-26T16:57:33.875599 | 2021-12-21T21:43:15 | 2021-12-21T21:43:15 | 125,047,706 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 99 | py | a, b = 5, 6
print("a = {}, b = {}".format(a, b))
a, b = b, a
print("a = {}, b = {}".format(a, b))
| [
"muhammadmuzzammil.cs@gmail.com"
] | muhammadmuzzammil.cs@gmail.com |
11002ce9a66d6dd01dd3255c64061bf99832f835 | 35fc3136ca3f4af52ebeb36cedcd30b41d685146 | /RNASeq/pipelines_reg/RNASeq_MDD6.py | 063bd01f225742f1770e18d723c47a560ede2e36 | [] | no_license | stockedge/tpot-fss | cf260d9fd90fdd4b3d50da168f8b780bb2430fd1 | d1ee616b7552ef254eb3832743c49a32e1203d6a | refs/heads/master | 2022-09-19T13:10:30.479297 | 2020-06-02T15:43:16 | 2020-06-02T15:43:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 981 | py | import numpy as np
import pandas as pd
from sklearn.ensemble import ExtraTreesClassifier
from sklearn.model_selection import train_test_split
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import MinMaxScaler
# NOTE: Make sure that the class is labeled 'target' in the data file
tpot_data = pd.re... | [
"grixor@gmail.com"
] | grixor@gmail.com |
f55e9b9731ecf77dcf752f1daaf3c8e570512a0a | ee4a142eb9f7e7f86ef2f74821ed07ff2bed23cc | /snort_csv.py | e8f55dfe4ddc16d38038f426e675dc04d193c1b8 | [
"Apache-2.0"
] | permissive | kairotavares/snortrules-csv | 046ce7e9947344462a3d342a5fd2e3238d2ad6ec | b985c8e89ef41a6ae9d2d559e8f0458f9e021705 | refs/heads/master | 2022-09-03T17:51:09.266372 | 2020-05-29T21:43:31 | 2020-05-29T21:43:31 | 260,497,254 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,080 | py | import snortparser.snortparser
import csv
import sys
from os import listdir
from os.path import isfile, join
all_options = []
ignore_options = ['msg', 'metadata', 'classtype', 'sid', 'rev', 'reference', 'tag']
ignore_list = ['snort3-deleted.rules']
def is_rule(rule_line):
return len(rule_line) > 100
def read_rul... | [
"kairo.ces.tavares@hpe.com"
] | kairo.ces.tavares@hpe.com |
b0e54b36346883493651de7f791ebe6ef592ed6a | f5cef01c9786a265d69a2f180057b4ac59e96c0e | /ml/m23_FI4_cancer.py | 89e50b8471b65134ac5f9c52a36c8ee4332ac15d | [] | no_license | 4dv3ntur3/bit_seoul | 5cb018dd1932100a15ad431034ba80515c7108be | 8e1ee8a0c648e92abc14b47b271876d43861a0ad | refs/heads/master | 2023-02-03T14:03:40.191623 | 2020-12-20T14:54:51 | 2020-12-20T14:54:51 | 311,263,882 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,330 | py | #2020-11-25
#feature importance:cancer
#기준은 xbgoost
# 0. 디폴트 xgboost
# 1. feature importance=0인 것 제거. 압축 아님 or #2. 하위 30% 제거
# 1. feature_importance=0인 것 제거
# 실행 3번
import numpy as np
from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor
from sklearn.ensemble import RandomForestClassifier, Gradient... | [
"allyep13.07@gmail.com"
] | allyep13.07@gmail.com |
ca8ec424843b1095331a340c03a555af12aca256 | c901d523500aaedd9d87ce9b14c83db216890fc2 | /itech/asgi.py | b1c515b11c90d847468b1485e615974840f3cacb | [] | no_license | Imran122/personal_blog | 9bcd76605ea69f138618bbdb429f8ce5c823810c | e240ed9bcc374cc51441b3f3b08fa09e0cb051d4 | refs/heads/master | 2023-01-05T09:20:04.958620 | 2020-11-07T17:31:27 | 2020-11-07T17:31:27 | 310,887,933 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 387 | py | """
ASGI config for itech 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_SETTING... | [
"imransardar122@gmail.com"
] | imransardar122@gmail.com |
de0387838dc323a425a63d71b630a0d224917274 | 070b693744e7e73634c19b1ee5bc9e06f9fb852a | /python/problem-dynamic-programming/jump_game.py | 199c3094474b5251eda2a8fedf6bc3b8892e146a | [] | no_license | rheehot/practice | a7a4ce177e8cb129192a60ba596745eec9a7d19e | aa0355d3879e61cf43a4333a6446f3d377ed5580 | refs/heads/master | 2021-04-15T22:04:34.484285 | 2020-03-20T17:20:00 | 2020-03-20T17:20:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 140,306 | py | # https://leetcode.com/problems/jump-game
# https://leetcode.com/problems/jump-game/solution
class Solution:
# Time Limit Exceeded
def canJump0(self, nums):
if nums is None or 0 == len(nums):
return False
dp = [False] * len(nums)
dp[0] = True
for i, n in enum... | [
"agapelover4u@yahoo.co.kr"
] | agapelover4u@yahoo.co.kr |
871dd366f3cab995150d2469f9261cd3a22f2c52 | 01ec1578126240ec8fb300de5290d02e0a8335dc | /books/admin.py | 76c5517d3ab5b7de09b89a56d1bc40e923304746 | [] | no_license | mitun94/MyBooks | 3f10852ebb532c0ae10b0ca7f852be802ed6cc9e | ba5e1a37e1d1f1d63495db75fd97b154f4eefbcb | refs/heads/master | 2020-03-08T22:23:49.454677 | 2018-04-08T06:51:21 | 2018-04-08T06:51:21 | 128,429,643 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 161 | py | from django.contrib import admin
from .models import Category,BookItem
# Register your models here.
admin.site.register(Category)
admin.site.register(BookItem)
| [
"tohidulalammitun@gmail.com"
] | tohidulalammitun@gmail.com |
2cfe58bb9928d5ecdf0e6bbb00070b0faf7c1d78 | 85a718eca22f79c7b140615c9c8643bc148a5ba8 | /manage.py | d23ac384e0efb49303bc802e24c58092a43c4b60 | [
"CC-BY-NC-SA-4.0",
"CC-BY-NC-4.0",
"CC-BY-NC-SA-3.0",
"CC0-1.0"
] | permissive | CircleCI-Public/circleci-demo-python-django | 9298b8167fe1b3a10c91cabe540ab5759cd2c130 | 2bbf84b270e6de0888ea7f551a749b938f6194ba | refs/heads/master | 2023-04-30T02:24:06.716277 | 2022-01-14T19:49:12 | 2022-01-14T19:49:12 | 89,367,810 | 127 | 428 | CC0-1.0 | 2023-04-21T20:53:14 | 2017-04-25T14:07:09 | Python | UTF-8 | Python | false | false | 810 | py | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "locallibrary.settings")
try:
from django.core.management import execute_from_command_line
except ImportError:
# The above import may fail for some other reason. Ensure that... | [
"hamishwillee@gmail.com"
] | hamishwillee@gmail.com |
2f1cacdc9741a25f7bee9438d600cb9411fc01a8 | 79536b68be2785c1ccc49daddc38fec986315360 | /guardianapi/fetchers.py | 766ea398ea7acf7ca8db525852db916465106e53 | [] | no_license | tsmarsh/guardianmobile | fca20a86f365b9019cbf9a5f90883b0b14de228e | 76e11f7b8a3645a999c08596ea8d61c6e1b9b30a | refs/heads/master | 2016-09-10T01:34:06.506503 | 2009-08-18T14:27:46 | 2009-08-18T14:27:46 | 148,282 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,824 | py | import urllib2, pickle
try:
import httplib2
except ImportError:
httplib2 = None
from errors import HTTPError
def best_fetcher():
if httplib2:
return CacheFetcher() # Uses an in-memory cache
else:
return Fetcher()
class Fetcher(object):
"Default implementation, using urllib2"
de... | [
"ts.marsh@gmail.com"
] | ts.marsh@gmail.com |
0b5e32768ed6868c934b8e5ec4cba959792d7629 | f9d564f1aa83eca45872dab7fbaa26dd48210d08 | /huaweicloud-sdk-lts/huaweicloudsdklts/v2/model/update_log_group_response.py | 88d154cc80b2f35af312418104e51138729d3714 | [
"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 | 6,117 | py | # coding: utf-8
import six
from huaweicloudsdkcore.sdk_response import SdkResponse
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class UpdateLogGroupResponse(SdkResponse):
"""
Attributes:
openapi_types (dict): The key is attribute name
and the ... | [
"hwcloudsdk@huawei.com"
] | hwcloudsdk@huawei.com |
8106fafdb5ec6258491ec9ff4ac9cf282149f318 | be0f3dfbaa2fa3d8bbe59229aef3212d032e7dd1 | /Gauss_v45r9/Gen/DecFiles/options/15966000.py | e27a25452c4fbe673648adb9fa2006914a890e86 | [] | no_license | Sally27/backup_cmtuser_full | 34782102ed23c6335c48650a6eaa901137355d00 | 8924bebb935b96d438ce85b384cfc132d9af90f6 | refs/heads/master | 2020-05-21T09:27:04.370765 | 2018-12-12T14:41:07 | 2018-12-12T14:41:07 | 185,989,173 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 776 | py | # file /home/hep/ss4314/cmtuser/Gauss_v45r9/Gen/DecFiles/options/15966000.py generated: Fri, 27 Mar 2015 16:10:12
#
# Event Type: 15966000
#
# ASCII decay Descriptor: [Lb => (D0 -> K+ K- pi+ pi-) X]cc
#
from Configurables import Generation
Generation().EventType = 15966000
Generation().SampleGenerationTool = "SignalPla... | [
"slavomirastefkova@b2pcx39016.desy.de"
] | slavomirastefkova@b2pcx39016.desy.de |
ecb5033566867cb000d040c50eafc4011199a97e | 21aa0289a371504992ae234f7f2cfe3a508804ec | /lab3/main.py | 6a6ed68e2c566a771184c00838af88b9a1c89158 | [] | no_license | markporoshin/mathstat | 434fa72dd55b33e8b2523c6f346ea978fccac4f2 | e4fca53986c0ac84f986326de2fae47af873cae2 | refs/heads/master | 2021-04-20T12:52:51.634558 | 2020-07-12T18:38:41 | 2020-07-12T18:38:41 | 249,685,258 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,959 | py | import numpy as np
from math import sqrt, pi, exp, pow, factorial, fabs, ceil
import matplotlib.pyplot as plt
distributions = [
{
'name': 'normal',
'func': lambda size: np.random.normal(size=size),
'destiny': lambda x: 1 / sqrt(2 * pi) * exp(-x * x / 2)
},
{
'name': 'poisson... | [
"mark.poroshin@yandex.ru"
] | mark.poroshin@yandex.ru |
6a5a73bb8bebce97725c37554303abc4ba6939d4 | d5160ebcb62307f08e729c38c17d53eb4ddbfa7a | /Face-Recognition/frame_extraction.py | b38cd437cba9d81745483460ef45518a60a7fa31 | [
"MIT"
] | permissive | huylv69/Face-Recognition | 4a1ccd35885c5a79abbedc160d281e66a9b7b30c | 6235d707a20562f4b06d6a0980a2c07e69b83a74 | refs/heads/master | 2020-03-17T12:47:11.448580 | 2018-05-31T15:38:23 | 2018-05-31T15:38:23 | 133,602,987 | 5 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,224 | py | import numpy as np
import cv2
#function to detect face using OpenCV
def detect_face(img):
#convert the test image to gray image as opencv face detector expects gray images
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
#load OpenCV face detector use LBP more accurate but slow Haar classifier
face_... | [
"levanhuy96@gmail.com"
] | levanhuy96@gmail.com |
b97d143ad661ee089527547470fea808e5cb764d | 99572bef8a2371a71f1414d4aa0a48764bbcc2c3 | /manage.py | 98b4971841df1a1003514267d92630b8f8d53802 | [] | no_license | solarflare626/IITOverflowWeb | c4e7784f0e056d8f74503f77fc37fdae44d3b37b | 390fa4370d741b03f2083b59f49c98ef58ad5148 | refs/heads/master | 2021-04-06T02:48:20.648507 | 2018-08-09T12:39:28 | 2018-08-09T12:39:28 | 124,879,533 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,833 | py | from flask_script import Manager
from flask_migrate import Migrate, MigrateCommand
from app import app, db, models
from app.models import User, Bucket, BucketItem
import unittest
import coverage
import os
import forgery_py as faker
from random import randint
from sqlalchemy.exc import IntegrityError
# Initializing the... | [
"johnkagga@gmail.com"
] | johnkagga@gmail.com |
0a6a43b54aeecd180ee3e7ec5e7e6177d82472fe | a76dc1b81d802401721d51b7ab7d2f88562bc05a | /ce/python3.6_windows_gpu_models/variational_seq2seq/_ce.py | c1fc10b968a52272d6f0aea0d83c19a7dfde4502 | [] | no_license | PaddlePaddle/paddle-ce-latest-kpis | 353a132d1c4c31305ebd4eeeb1a729c025a2fffc | f9a9ca792c4c7b659b8fa4cdf07cacb063db4f11 | refs/heads/develop | 2021-12-22T08:36:52.083618 | 2021-12-13T11:27:18 | 2021-12-13T11:27:18 | 127,693,333 | 29 | 128 | null | 2023-05-05T06:26:26 | 2018-04-02T02:40:42 | Python | UTF-8 | Python | false | false | 1,244 | py | # this file is only used for continuous evaluation test!
import os
import sys
sys.path.append(os.environ['ceroot'])
from kpi import CostKpi
from kpi import DurationKpi
test_nll_kpis = CostKpi('test_nll', 0.02, 0, actived=True)
test_ppl_kpis = CostKpi('test_ppl', 0.02, 0, actived=True)
tracking_kpis = [
test_... | [
"jiaxiao243@126.com"
] | jiaxiao243@126.com |
e156d6f45f221cee8eb82b24e63a2092d4185d22 | 1f613d0e8a0603128b3c44ae20f2a88b7bd1fd0f | /manage.py | 9d1ad7e5f90442bc51d334d7db18fe5c5b55d540 | [] | no_license | Korek-F/Django-WordsApp | 55bb64ee1137fb1bdb31f46b196407cbcfc36922 | 97ede8ac6499538929544232c084dd285f67a553 | refs/heads/master | 2023-03-20T21:07:41.834896 | 2021-03-09T11:19:22 | 2021-03-09T11:19:22 | 344,179,025 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 625 | py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'words.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportEr... | [
"filip.korycki2222@gmail.com"
] | filip.korycki2222@gmail.com |
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