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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
937d9d68a3ca6a4f6ea6bae2b249aa41d8a5a349 | a94758b88353889c8186b32e7b5acbe7f77807e9 | /iGottaDjango/urls.py | 536178fc1455f03899b5d2b6817766bfc6c3b6ac | [] | no_license | Stephanie-Spears/iGottaDjango | fcc9bf9ec2ee9ceb5a71e88c0a285a4f032f0523 | 69326b2aac9926cf33810e46528370ebdfeacb05 | refs/heads/master | 2021-08-15T01:51:13.498214 | 2017-11-17T06:09:33 | 2017-11-17T06:09:33 | 109,955,044 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 815 | py | """iGotta URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-bas... | [
"[email protected]"
] | |
214c6c3886334797076857bd9cf4b62e4d931034 | ce5e472dd6b33a261b3651672ffa4bcf37db9687 | /q1.py | 12b50e1fc508429fd3ff3b28d4b41bfa9c58e4af | [] | no_license | vkobinski/tarefa4 | edbe140b8ba38689f703555c82b1bf186c9e9f16 | 6e5925c32a97d33a206dab709f55284c7ec35055 | refs/heads/master | 2023-07-15T22:04:51.622643 | 2021-08-26T14:30:52 | 2021-08-26T14:30:52 | 400,198,617 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 812 | py | from datetime import datetime
class Cadastro:
def __init__(self):
self.codigo_banco = input("Insira o código do banco: ")
self.valor_despesa = input("Insira o valor da despesa: ")
self.descricao_despesa = input("Insira a descrição da despesa: ")
self.data = str(datetime.date(datetim... | [
"[email protected]"
] | |
12b99157ef91baeba1b980e70567b5588589fb0c | a616d3f1491eae4a702d18ab30e2b3cfd43e1563 | /scrollbar.py | a43c58dca1721d5742a1355ef8ec4ffaf02cb63d | [] | no_license | supriadi-yusuf/python-GUI | 9d15c27fcaabb55aa61ccabef2afcc3f9a26370f | 557ab9720442d7d810567441119c3efa4b1b7b34 | refs/heads/master | 2020-06-29T16:47:58.236428 | 2019-08-07T01:09:09 | 2019-08-07T01:09:09 | 200,570,926 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 579 | py | from tkinter import (
Tk, RIGHT, Y, Scrollbar, Listbox, END, BOTH, LEFT
)
layar=Tk()
layar.title("Scrollbar")
myScrollbar = Scrollbar(master=layar)
#myScrollbar.pack(side=RIGHT, fill=Y)
#myScrollbar.pack(side=LEFT, fill=Y)
myList = Listbox(master=layar,
#height=5,
yscrollcommand=m... | [
"[email protected]"
] | |
b107aba0725e0d5aa26ab156bc55db785eb5b9b1 | ecc736ba966a235a4d07e5af298f97a4437defc9 | /Assignment 4/p4.py | 6e13ea7adee23ed2f568e69e4c583f37dc5abb36 | [] | no_license | davifrossard/CSC321 | 6a832c245fdb683df57f47f5033e5b5de71ae2fa | e3f17bc5399800aee400261cb13b45d6c1437292 | refs/heads/master | 2020-04-14T05:49:10.742021 | 2016-04-20T14:33:21 | 2016-04-20T14:33:21 | 50,119,837 | 5 | 8 | null | null | null | null | UTF-8 | Python | false | false | 4,847 | py | from RNN import *
from utils import print_warning
from os import makedirs
from time import sleep
import datetime, time
# Create results directory
if not path.exists('results/'):
makedirs('results/')
# Data I/O
data = open('shakespeare_train.txt', 'r').read()
chars = list(set(data))
data_size, vocab_size = len(dat... | [
"[email protected]"
] | |
40a5badf20a8815924f3d9ea4e245dba81149a88 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03588/s910432178.py | 314d7a583d1067ee67cd31e93342774353c07a3a | [] | 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 | 301 | py | import sys
def solve():
readline = sys.stdin.buffer.readline
mod = 10 ** 9 + 7
n = int(readline())
ab = [list(map(int, readline().split())) for _ in range(n)]
ab.sort()
print((ab[-1][0] - ab[0][0] + 1) + (ab[0][0] - 1) + (ab[-1][1]))
if __name__ == '__main__':
solve()
| [
"[email protected]"
] | |
702e397972e162ab5ddf2af196684a76f393bd61 | 71673d845952b50986d1c21dc5bbbcab2a2a2651 | /introduction_to_lxml.py | 0783fcf78d6a6982eff93f7b0558518976c20d60 | [] | no_license | afcarl/introductionToWebScraping | 77a44bfb7655e44231bed216d37b015e3cf52a5c | d1039aeee87365f2807dd198e53bd1bb6224a550 | refs/heads/master | 2020-03-26T04:23:54.052825 | 2015-06-18T14:23:40 | 2015-06-18T14:23:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 507 | py | import requests
import lxml.html
base_url = "https://www.google.com"
def scrape(url,base_url,depth):
if depth == 0:
return True
r = requests.get(url)
html = lxml.html.fromstring(r.text)
links = html.xpath("//a/@href")
for ind,link in enumerate(links):
if "http" in link:
... | [
"[email protected]"
] | |
3eecda5d5aed0185231c064ba9d3916edaf9df22 | eac6bd2191daab17189eb9f221048cda3179c216 | /scripts/example_numbercounting.py | d95a2ab0cd72ae35b68503c252a47fe348106a6a | [] | no_license | ghl3/histfactoryUnitTests | 83fb0e21b8b640f40170a254a7686308c5d03495 | 0bf9da7335707a7f9da658fb16005b3dc9da4583 | refs/heads/master | 2021-01-23T05:45:19.665227 | 2012-11-16T20:01:32 | 2012-11-16T20:01:32 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,171 | py | #!/usr/bin/env python
#
# A pyROOT script demonstrating
# an example of writing a HistFactory
# model using python
#
# This example was written to match
# the example.xml analysis in
# $ROOTSYS/tutorials/histfactory/
#
# Written by George Lewis
#
#
# There are several way to use HistFactory to
# create a model.
#
# ... | [
"[email protected]"
] | |
9573e2d03f021cd4eee80553f9755cffcb49464b | 67d1deb7b3f5d6d03028e938dcba06c44392fe87 | /code/util/datastorage/SPEngine.py | 6a7a12a546407b6594073c15569ddfc6d1e5ddb7 | [] | no_license | GGXH/DS_stock | 389881403b0356072f2f5a7b64bd9098f87f9784 | c516dd4a546cb48d98198239ed33260acfb2adb8 | refs/heads/master | 2020-04-05T19:31:43.306362 | 2019-01-16T15:37:44 | 2019-01-16T15:37:44 | 157,138,472 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 78 | py | import util.status.messager as msg
class SPEngine:
def __init__(self):
| [
"[email protected]"
] | |
875ef43560a7117ab76732fbd81c3a1778a3e8b5 | 6694cdf9827bc72262f6e5f37a419c292433dd61 | /scripts/misc/config_abl_3dassembly_optimal_bc_loss.py | 7f3c29e7322dfa637d0c4616bdfb86ac29df9610 | [
"MIT"
] | permissive | shagunuppal/mopa-pd | ce07df4eb4390e0e24d8f2f1deafe83577fa44fc | ac55f568149d8e79c28326bcd9b63336ed065a61 | refs/heads/master | 2023-08-30T17:37:43.842057 | 2021-11-04T14:48:34 | 2021-11-04T14:48:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 936 | py | # for this figure, we need to multiple all y values by 1e6 (y_data = y_data * 1e6) and set
# y-tick labels directly plt.yticks([1.3, 1.4, 1.6, 2.0], fontsize=12).
filename_prefix = 'SawyerAssembly-Abl-Optimal-BC-Loss'
xlabel = 'Epoch'
ylabel = 'Mean Square Error (x 1e-6)'
max_step = 40
min_y_axis_value = 1e-6
max_y_ax... | [
"[email protected]"
] | |
736a6dd319cdb36e01d57e42fdf371c5db550c22 | 6fcfb638fa725b6d21083ec54e3609fc1b287d9e | /python/ghwatson_faststyle/faststyle-master/losses.py | 7a4cc6b60cea27257d8a4820a88ca8fb5d7f1574 | [] | 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 | 3,526 | py | """
This file contains the different loss functions.
File author: Grant Watson
Date: Feb 2017
"""
import tensorflow as tf
import numpy as np
def content_loss(content_layers, target_content_layers,
content_weights):
"""Defines the content loss function.
:param content_layers
List of... | [
"[email protected]"
] | |
df4017d719a457eb43a5aa6c9d289e9e674a9b84 | e61802befd592a18d535999277e3d4767042a441 | /problem_11.py | 8c4304f4ad7e6f7973982931f25f9f46d2d2458a | [] | no_license | subenakhatun/pythonbasic | 5962804d4aaee18c9bc5e8f1d178ae846efabd85 | 36066df0a9355c6d451e80e06fba2fb712759f3d | refs/heads/master | 2021-07-20T23:21:49.113162 | 2020-05-15T04:11:19 | 2020-05-15T04:11:19 | 163,249,284 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 31 | py | str = 'subena'
print(len(str)) | [
"[email protected]"
] | |
8728234043cd78faea94c87589dea2b093ce9e0e | 54483c7314149f73d559476a16c8f046fd21d987 | /demo/migrations/0005_auto_20210720_1008.py | 4ae48e3c085d0b72cbd7e941bbb13f085cd15aef | [] | no_license | phuongthao2145/testpython | 27d514a895cddc74afaf768acff81f5e82591975 | ab999b9771e90c0709998030051bcc4bce4873be | refs/heads/master | 2023-06-27T06:55:46.711635 | 2021-07-26T11:27:39 | 2021-07-26T11:27:39 | 386,623,872 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 643 | py | # Generated by Django 3.1.4 on 2021-07-20 10:08
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('demo', '0004_testresult_tag'),
]
operations = [
migrations.RenameField(
model_name='demo',
old_name='f0',
new_na... | [
"[email protected]"
] | |
cc8579e637c44fae83edeccad4ee7128463ed18f | fa62a10dc55e5af03f24d0e0c1fe46502b814e8c | /python基础/文件/02写入文件.py | cf2f54eeb7347dd883d5d40f696ad13e3e5960ef | [] | no_license | jiangchuan617/PythonLearning | c5ede77f596c2282e819cc0270cef842e4147783 | a8b999e348a0f90b8febc6ded8f4ae14a5f0ebe5 | refs/heads/master | 2022-05-02T04:37:59.515143 | 2022-05-01T16:20:15 | 2022-05-01T16:20:15 | 129,497,116 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 87 | py | file = open('readme','a') # 'w'只写;'a'追加
file.write('123hello\n')
file.close() | [
"[email protected]"
] | |
bd5cb730104181ac2296d2a313eb30e514464624 | 6ae9ecca3049ea0df016db4d78eb93ae0edfedd3 | /python/day6/if_elif_0.py | 304427bc0cdf9efd6a90511fb4acbec7b0a517bd | [] | no_license | itcsoft/itcpython | 41dc79534f4727a74ec24c651b06d7fba5c9d23b | 208ad1e92ec8ea687878097696dff9b81e0dffb8 | refs/heads/main | 2023-06-15T08:38:30.316981 | 2021-07-08T13:19:19 | 2021-07-08T13:19:19 | 368,862,365 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 363 | py |
san = int(input('Сан бериниз мен ошол санды текст менен чыгарам: '))
if san == 0:
print('Ноль')
elif san == 1:
print('Бир')
elif san == 2:
print('Эки')
elif san == 3:
print('Уч')
elif san == 4:
print('Торт')
elif san == 5:
print('Беш')
elif san == 6:
print('Алты')
| [
"[email protected]"
] | |
29062d2f0a805afd6dd76b3910c7c60daac28586 | 4178f2916d2da72cbb45454fbed941dcfe8f6460 | /POM_test/TestCase/Planting/TC_024.py | c2bd74617e33da7d058bb5c6912275c3dd5bd85e | [] | no_license | maxcrup007/Selenium_Webdriver_Python | 15196cb04ba5cafdc5b776c26d167f0b48fb0e14 | 6be7f0b9f53df1ba592957029e8a4d22e409d1c4 | refs/heads/main | 2023-03-24T21:04:31.976451 | 2021-03-22T09:16:04 | 2021-03-22T09:16:04 | 349,379,454 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,607 | py |
# ทดสอบการเข้าใช้งานของ "ปลูก" (เลือกจำนวนเพาะปลูกมากกว่าพื้นที่)
import time
import unittest
import sys
from selenium import webdriver
from POM_test.login import *
from POM_test.plantPage import *
import os
sys.path.append(os.path.join(os.path.dirname(__file__), "...", "..."))
class TestPlanting_24(unittest.Tes... | [
"[email protected]"
] | |
4de4a3deb1892d8a98427efd454a04849d8f4eda | f2fcf807b441aabca1ad220b66770bb6a018b4ae | /coderbyte/letter_capitalize.py | 0db39e3300d9e2d0d879d72ba1ae2420481d6fcb | [] | no_license | gokou00/python_programming_challenges | 22d1c53ccccf1f438754edad07b1d7ed77574c2c | 0214d60074a3b57ff2c6c71a780ce5f9a480e78c | refs/heads/master | 2020-05-17T15:41:07.759580 | 2019-04-27T16:36:56 | 2019-04-27T16:36:56 | 183,797,459 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 150 | py | def LetterCapitalize(str):
# code goes here
return str.title()
print(LetterCapitalize("h3llo yo people")) | [
"[email protected]"
] | |
3b8746a1cdd4600634297132c55f8cb3205475c4 | d8349b7c3ca5289ea4627719699ae88b536fa24e | /uhr.py | bb9d4cef9887219b82c8773ba0814e754bdfe453 | [] | no_license | Mighty-Yth/Affinity | 8277ae59785f5663b1458e579f9f49e7719b4871 | a4f92421f014c0b296596234b0727bb2b0f526f1 | refs/heads/master | 2020-03-28T20:29:42.009120 | 2018-09-17T06:00:18 | 2018-09-17T06:00:18 | 149,075,792 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 497 | py | import discord
from discord.ext import commands
class Uhr:
def __init__(self, identity,user,EXP):
self.identity = identity
self.user= user
self.EXP = EXP
def __str__(self):
return self.identity + ':' + self.user+':' + str(self.EXP)
def deposit(self,amo... | [
"[email protected]"
] | |
31541650d86bad1487aa424be00d8d85b69f5bed | a7da58ad91b007b3650003708eb91928f1e3684a | /bt5/erp5_wizard/WorkflowTemplateItem/portal_workflow/express_person_interaction_workflow/scripts/Assigment_openGlobalUserAssignment.py | edc6962f8dcdb769f3c5bbbaa8e6713520f5fb3f | [] | no_license | jgpjuniorj/j | 042d1bd7710fa2830355d4312a6b76103e29639d | dc02bfa887ffab9841abebc3f5c16d874388cef5 | refs/heads/master | 2021-01-01T09:26:36.121339 | 2020-01-31T10:34:17 | 2020-02-07T04:39:18 | 239,214,398 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 115 | py | assignment = state_change['object']
person = assignment.getParentValue()
person.Person_validateGlobalUserAccount()
| [
"[email protected]"
] | |
c92b4463310cabc5b593f28b34d7d29802149be3 | 8f4e9d24de3dfbd2efae58877ab0043a7da57831 | /Learn_PhythonEx/ex6.py | a9b2054e8db34cbb6de3068fbfe0bc208451d780 | [] | no_license | dersonnex/Python_learning | 1cbcfe428a4765adabdca65d275b63c37acb0ea8 | 7827962c5f208b36c6511a20d220cba609494853 | refs/heads/master | 2021-01-12T06:00:52.179117 | 2017-11-14T09:43:54 | 2017-11-14T09:43:54 | 77,274,272 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 549 | py | x= "There are %d types of people." % 10 # defines veriable X
binary = "binary" # defines veriable binary
do_not = "don't" # defines veriable do_not
y = "Those who know %s and those who %s." % (binary, do_not) # defines veriable y
print x
print y
print "I said: %r." % x #I said :there are 10 types of people.... | [
"[email protected]"
] | |
cfc2649bb2c931a5ec92ad39694840b9daa025f2 | 9c1223036fd5259875458a8cf40eed7e2d3edf7a | /booktest/views.py | eea0893ab92e26959c416e885ce7ae0a1a3f0d2f | [] | no_license | oldestcrab/django_182 | 57c180a17d733026727b5f783195d8e0d009ecff | df4bb8933be6a189c0d4af7a55b33f60fff6289b | refs/heads/master | 2020-05-31T14:57:20.585054 | 2019-06-26T06:28:49 | 2019-06-26T06:28:49 | 190,344,540 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,095 | py | from django.shortcuts import render, redirect
from django.http import HttpResponse, JsonResponse
from django.conf import settings
import os
from .models import *
from django.core.paginator import *
def index(request):
return HttpResponse('hello')
def detail(request, p1, p2, p3):
return HttpResponse('year:{p1... | [
"[email protected]"
] | |
b652570059fbbb90741ee3a9330e616f982e32a2 | 7694cb360b98391fb0f5c57e3b396d8211d535ea | /GUI/config.py | e2d7fd5c94a6e14d041ed94caa21cfd5f2aaf723 | [
"MIT"
] | permissive | trifwn/Atlas_Rocket | 36ec1b0e59181dab45a16743a670532eb8e4e797 | aeb8b6fea75b8f6b94af662bbaec0ae212e02bae | refs/heads/master | 2022-04-17T03:34:30.614890 | 2020-04-05T21:40:49 | 2020-04-05T21:40:49 | 229,804,020 | 1 | 0 | null | 2020-03-31T14:52:34 | 2019-12-23T18:31:23 | Python | UTF-8 | Python | false | false | 1,214 | py | import os
import time
from collections import deque
BASE_PATH = os.path.dirname(os.path.abspath(__file__))
DATA_PATH = os.path.join(BASE_PATH, "data")
def init():
'''
Defining globals and initializing them
'''
max_length = 100
global times, temperature, pressure, humidity, altitude, or_x, or_y, or_z, vel_x, vel_... | [
"[email protected]"
] | |
ccfcd1900ee74cbfd43d8cee00efaa8ddc77b01a | 2e85be12b106f8bcb159e267a2c97ad3a6ea0b9d | /lessons/lesson3/myre.py | cf4e0d0b377c59bd1a03a89f650c29080cd26680 | [] | no_license | tinghe0928/awesome-python3-webapp | bb24af1a9e2898180c1252d4a70c92f7eadddc3e | 3c840f605f360c93e22f2b41ef06886cab35a2ef | refs/heads/master | 2020-05-26T14:46:17.536977 | 2019-10-16T08:30:48 | 2019-10-16T08:30:48 | 178,860,057 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,388 | py | import re
# re.compile()
# re.match()
# re.search()
# re.match().group(0) # return to Match object or None, if the first one do not match, fail to match and return None
# re.match().groups() # return to Match object or None, when there is a match, then return the matched one
#re.split()
"""
\d: for a numner
\w: for ... | [
"[email protected]"
] | |
9717ae1685d9e0be1f4fca244bca7a10cb2aeb8b | c2cd846ea3d2947587a5bfe1ad8cfc419e0fc98f | /gui/app.py | c345b7be2ccd5925f810121a5350d92dcf4263aa | [
"MIT"
] | permissive | txxia/starbound-map | d5eac43add27076703a7918f574a32807b258f37 | a0231cbc0d14aed072246061280084bb7eaf5d04 | refs/heads/master | 2023-07-19T20:05:10.729118 | 2019-08-08T01:19:10 | 2019-08-08T01:19:29 | 136,258,912 | 14 | 0 | MIT | 2023-07-16T23:45:16 | 2018-06-06T02:13:12 | Python | UTF-8 | Python | false | false | 1,906 | py | import glfw
from gui.core import *
from gui.widgets.job_overlay import JobOverlay
from gui.windows.about import AboutWindow
from gui.windows.mapcontrol import MapControllerWindow
from gui.windows.mapview import MapWindow
from gui.windows.usage import UsageWindow
from map.renderer import WorldRenderer
class Starbound... | [
"[email protected]"
] | |
504995a982f5fa75f2c1793615bc2e989fee7a9c | 5663ad19d3773400f60da4e1cabcb3312894e62b | /linkedlist.py | a135fc32d30425de0164010c3654a25c10aef361 | [] | no_license | maihan040/Python_Random_Scripts | a265a556f65d5f8b779b37dac1f68f089f4bf343 | 2c649c3668adcc3c155387b8c7c88a07b50af39a | refs/heads/main | 2023-04-11T17:11:29.439860 | 2021-05-08T17:59:54 | 2021-05-08T17:59:54 | 360,765,179 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,338 | py | #
#module name: linkedlist.py
#
#purpose: class definition for a linked list
#
#date created: 09/04/2019
#
#version: 1.0
#
#########################################################
# Import modules #
#########################################################
import node
##########################################... | [
"[email protected]"
] | |
530008283c1d95b2bbd68b84c9530f2593eceb96 | 5de718a2ab00460f59621e1e3c100b37c0853f61 | /env/Lib/site-packages/flask/app.py | b321c63f7c4bba6de67231bffec304fc04d9759d | [] | no_license | HenryVo31/Connect | 3fd60d893edd1199663878b7b68505e57a410dd6 | 3783e5b4d6b58f19e37ccff66501cb78c35c1500 | refs/heads/master | 2023-02-13T14:21:12.692446 | 2021-01-08T21:40:16 | 2021-01-08T21:40:16 | 295,485,939 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 97,137 | py | # -*- coding: utf-8 -*-
"""
flask.app
~~~~~~~~~
This module implements the central WSGI application object.
:copyright: © 2010 by the Pallets team.
:license: BSD, see LICENSE for more details.
"""
import os
import sys
import warnings
from datetime import timedelta
from functools im... | [
"[email protected]"
] | |
87e809d46157208ddbaf6781030cfc9bc9ad8438 | b3f1d75955f3ef15b4c55e4ad79d73b3797ec318 | /django-backend/djangoapi/tests.py | 448ec74fa89ea606bc66e2347098316c3cac403c | [] | no_license | christiancp100/VRecommender-3.0 | da600008c5542fa10e4e10da110c7a9ea90f5494 | 9bfd0c1d4e1b536e70c3a32497c829fa099d22cf | refs/heads/master | 2023-07-31T17:52:23.330726 | 2020-06-05T15:05:57 | 2020-06-05T15:05:57 | 269,671,457 | 0 | 0 | null | 2021-09-22T19:09:40 | 2020-06-05T14:48:43 | Vue | UTF-8 | Python | false | false | 995 | py | from django.test import TestCase
from djangoapi import search
from elasticsearch import Elasticsearch
import requests
class ElasticsearchTestCase(TestCase):
def setUp(self):
self.client = Elasticsearch("http://elasticsearch:9200")
self.all_indices = self.client.indices.get_alias("*")
def test_... | [
"[email protected]"
] | |
36e139de605165c83a26635746a0cfb6c93b6fe8 | 0b0ac289ed7fbb8e0012ca97ec6dc2f925be058f | /spray.py | edf293ad0f59e8809a8da962eadce4d5fdf18574 | [] | no_license | KRHS-GameProgramming-2014/butterfly-game1 | 8b57dbb060a6aa6fd6539bed877551ba45e2a017 | cf4c15b801354fff739bfb66e6f94ebaecb60dd4 | refs/heads/master | 2021-01-19T14:07:38.894097 | 2015-03-23T13:05:33 | 2015-03-23T13:05:33 | 32,520,307 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,030 | py | import math,sys,pygame
class Spray():
def __init__(self,player):
self.facing = player.facing
if self.facing == "up":
self.image = pygame.image.load("rsc/Projectiles/spray.png")
self.speed = [0, -5]
elif self.facing == "down":
self.image = pygame.im... | [
"[email protected]"
] | |
e3275a76d2f0ad30f2d8dc25ef528b0dd70399d0 | 6f9a29946dc107cd44d88cf07c9d715ebe4208be | /source/services/music/music_service.py | 61d9a993b50f6a801a8e9c6457c4172dae92f090 | [] | no_license | cash2one/gongzhuhao | 66bb14439a2265175bdd4b2f585456fcf47922bf | 0596bcb429674b75243d343c73e0f022b6d86820 | refs/heads/master | 2021-01-18T15:38:37.258737 | 2015-10-28T09:13:33 | 2015-10-28T09:13:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,709 | py | #encoding:utf-8
__author__ = 'frank'
from services.base_services import BaseService
from models.share_do import ShareMusic
from utils.upload_utile import delete_from_oss
from tornado.options import options
class MusicServices(BaseService):
def create_share_music(self,**kwargs):
'''
todo:新增一首背景歌曲
... | [
"[email protected]"
] | |
cc7d6f4efb3081ed341d4a57cc74f148f229edf1 | 58afbd547a9bfc0449c2e88a80ec0606950f5473 | /AudioToText.py | 05ad2e2f0ac84d6e3aadca5cb1bbd4de0339e837 | [] | no_license | suvashsumon/SpeechRecognitionDemo | 1c37c0c59049f62bbb37f730c1a4eb87817d7323 | f7c0c95b7c05a52d81f0d172abd340402b7bdfb5 | refs/heads/master | 2022-12-03T19:18:55.872325 | 2020-08-19T15:53:20 | 2020-08-19T15:53:20 | 288,773,782 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 355 | py | # Author : Suvash Kumar
# Website : www.suvashkumar.xyz
import speech_recognition as sr
recognizer = sr.Recognizer()
audio_file = "speech.wav"
with sr.AudioFile(audio_file) as source:
audio_data = recognizer.record(source)
print("Recognizing this speech ......")
text = recognizer.recognize_google(audio_data)
pri... | [
"[email protected]"
] | |
e64bb6ef3ac9bc9aa5a6be96f65b399ba60f4587 | ee9d1da814af64064de49e777e6fe983f92e7621 | /old/PSD_Plotter.py | 0989cea9eff5da0e3e42fe57532f837a02d92550 | [] | no_license | nm96/MSc_project_code | 8506fab47b291cffb4a9558da52a486a4dca290f | 7b8b02b6b5dce0c09adf8e5ca2c3f464c4e6eff1 | refs/heads/master | 2022-12-14T20:34:53.432790 | 2020-09-13T15:06:31 | 2020-09-13T15:06:31 | 274,463,955 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,552 | py | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker
from matplotlib import rc
import sys
import pickle
# Set a nice font for the plots when on Linux
if sys.platform == 'linux':
rc('font',**{'family':'serif','serif':['Computer Modern Roman']})
rc('text', usetex=True)
# Get input file fr... | [
"[email protected]"
] | |
1946bfe1caf51887dc9a1fb940cb12a1a1f3c769 | 11424be5ccc50cef7b421c01be8fbdf0e9a6df16 | /AY2021/attacks/LengthExtension/live/length_extension_md5_live.py | b1d6612a6e266c2a7a2ee96f65c26065210df06b | [] | no_license | MarcoSapio/cryptography-03lpyov-exercises | 1ff7b6e189af9bc4af4a85690b1f3ecbcb96527d | b9234c3a88f6e43def61fcad4acbfcc3ced03068 | refs/heads/master | 2023-05-27T00:25:46.641506 | 2021-06-10T14:08:40 | 2021-06-10T14:08:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,288 | py | #!/usr/bin/env python3
#
# Derived from:
#
# MD5C.C - RSA Data Security, Inc., MD5 message-digest algorithm
#
# Copyright (C) 1991-2, RSA Data Security, Inc. Created 1991. All
# rights reserved.
#
# License to copy and use this software is granted provided that it
# is identified as the "RSA Data Security, Inc. MD5 Mes... | [
"[email protected]"
] | |
45158fd73f856d10753fdab1158bbd52cbc902c4 | d94b6845aeeb412aac6850b70e22628bc84d1d6d | /es_maml/policies.py | f901bf44a33836629722349dd7c0953bd0a94da7 | [
"CC-BY-4.0",
"Apache-2.0"
] | permissive | ishine/google-research | 541aea114a68ced68736340e037fc0f8257d1ea2 | c1ae273841592fce4c993bf35cdd0a6424e73da4 | refs/heads/master | 2023-06-08T23:02:25.502203 | 2023-05-31T01:00:56 | 2023-05-31T01:06:45 | 242,478,569 | 0 | 0 | Apache-2.0 | 2020-06-23T01:55:11 | 2020-02-23T07:59:42 | Jupyter Notebook | UTF-8 | Python | false | false | 9,160 | py | # coding=utf-8
# Copyright 2023 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | [
"[email protected]"
] | |
b03184fca3a98c1dcef9e6620aab908a13251857 | c883f6029e05bffa8b34795d017bdcd2975fdc31 | /venv/Scripts/conch-script.py | 103a4e88c1d8e9ad5f3b7b6a22e01b2a6baec516 | [] | no_license | Solin1998/AnalyzeGdeltData | be54ee71db375dc70b9da7f067215adb4c44f2d4 | 0e2e340fbbb1af4708edce11e034ccd0ee9c0e4d | refs/heads/master | 2020-05-15T17:21:04.497117 | 2019-05-16T01:53:30 | 2019-05-16T01:53:30 | 182,401,301 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 404 | py | #!D:\scrapy_gdelt\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'Twisted==19.2.0','console_scripts','conch'
__requires__ = 'Twisted==19.2.0'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.ex... | [
"[email protected]"
] | |
3daa552b34b92a1091491956c4ea13bf7738ada2 | c48a8d16b609f51ec28ce735d69b3e71480d5fe3 | /setup.py | bd5d830002ab82263ac25476fc7a82022a8d8806 | [] | no_license | arii/pyrltools | c6d622761b7868a72e60c6cb5d35dbae2de1ffe1 | 45df3ecd4227529f3ce40fc9132c5dc42920fc5c | refs/heads/master | 2021-01-18T05:00:58.103484 | 2014-10-16T00:18:14 | 2014-10-16T00:18:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 261 | py | #from numpy.distutils.core import setup, Extension
from setuptools import setup, Extension, find_packages
import numpy
setup(name = 'rltools',
version = '0.1',
include_dirs=[numpy.get_include(), '/usr/include'],
packages = find_packages())
| [
"[email protected]"
] | |
a8bbf6d28fbb80a9b6db4877e2b4247f033da24e | 0412101e2cea53b471c0b79e531b30c10dbbeeb2 | /read_statistics/migrations/0002_readdetail.py | 8c7c4fc61bf78b165822c00ef689b9a741c41b5b | [] | no_license | Iceinmyvein/mysite | da42f142650741e740ac92be974915ee34643951 | 9ed82d63b605544d516869eb0f37cf862181d68a | refs/heads/main | 2023-03-09T14:00:55.103640 | 2021-03-02T07:45:51 | 2021-03-02T07:45:51 | 342,994,221 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 908 | py | # Generated by Django 3.1.5 on 2021-02-08 02:18
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
('contenttypes', '0002_remove_content_type_name'),
('read_statistics', '0001_initial'),
... | [
"[email protected]"
] | |
fa65a404c6278a30b5a8e1d2c8079c85f4f85dce | 449f6888bff99d7e4fd86fa6ffa6b3316084e34e | /Solutions/018.py | b91be816ebd66827c26c6ae1526c59a9b3b118b9 | [
"MIT"
] | permissive | All3yp/Daily-Coding-Problem-Solutions | e94679a5858b8a83ffe58d14b824fe80de21a694 | 199b9606474edb45bd14b20b511b691ada437586 | refs/heads/master | 2023-03-18T21:06:30.675503 | 2021-03-13T03:52:31 | 2021-03-13T03:52:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,622 | py | """
Problem:
Given an array of integers and a number k, where 1 <= k <= length of the array, compute
the maximum values of each subarray of length k.
For example, given array = [10, 5, 2, 7, 8, 7] and k = 3, we should get: [10, 7, 8, 8],
since:
10 = max(10, 5, 2)
7 = max(5, 2, 7)
8 = max(2, 7, 8)
8 = max(7, 8, 7)
Do... | [
"[email protected]"
] | |
3e563019b3d7db6d3ec9a95f54d4b81a39d0a957 | 121ae77d5a4410d1a74c4d2abb35910fc1ee501c | /tests/mock_emr.py | 988e8644763eee5ca08f517ccd3d29d747429469 | [
"MIT"
] | permissive | warrenronsiek/emrcli | 6baee85a27c3106cc55ca31feccfb804f6c3d17c | 0874ae40be480e9f274867bc526fb6757b3db51e | refs/heads/master | 2020-08-02T23:01:45.357969 | 2019-05-10T19:24:55 | 2019-05-10T19:24:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 24,895 | py | from datetime import datetime
def mock_emr_client(*args, **kwargs):
class TestEmrClient:
@classmethod
def run_job_flow(cls, **kwargs):
return {"ResponseMetadata": {"HTTPHeaders": {"content-length": "1624",
"content-type": "applic... | [
"[email protected]"
] | |
88670494c7efdc1374cdfb661ffb1ffe4df35dbf | 50e8f9a4b25d543932d0a43656c12ec0b31fe87b | /random_seq.py | 00513e85ca16590a6737c09d71f90fbf6047b890 | [] | no_license | 1gnatov/NRSAAM | b95e5f5d621863e73117d3014c67dc34bf1de40b | 752cab91455bfcbda7f54f9f20bb336ea18daa02 | refs/heads/master | 2016-09-06T17:18:02.471806 | 2013-10-30T21:01:55 | 2013-10-30T21:01:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,449 | py | """
idea = using lists of nuc_seq with separate nucl as lists ['G'], ['A'] etc.
each round we look at unamb nucl - count lenth of this letter in dict{'D'=[['A'],['G'], ['T'], ..}
and multiply starting lists to the len(dict['D']) and appending letter-lists from dict
at the end all lists are joining with ''.join()
restr... | [
"[email protected]"
] | |
e7bb53eebb76b023b8e96330bb939ceaa0ee7d5e | 5e3fb75d905481334177acba84f1e58839ecbab0 | /euler92.py | 1b58d9fa322e96f80ffc01fe7d09911cf2a5fc10 | [] | no_license | fpgmaas/project-euler | e850acc570d2adc0cb23f9f92775c53592867313 | 738d13b21cbb156af874710b6d7269d963056000 | refs/heads/master | 2021-09-14T02:01:45.900043 | 2018-05-07T12:22:08 | 2018-05-07T12:22:08 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 284 | py |
def func(x):
y = list(str(x))
return(sum([int(n)**2 for n in y]))
total=0
set89 = set()
for i in range(2,10000000):
x = i
while x!=1 and x!=89:
x = func(x)
if(x in set89): x=89
if x == 89:
total+=1
if i<600 :set89.add(i) | [
"[email protected]"
] | |
ca80285ee2929ac20cf43ad7fff92fb60b9efdea | f81c8e4d702d5c88af92c691d35b6f9c0d2f4390 | /backend/dark_waterfall_26026/wsgi.py | e5039146e98431c055564aea9a661c25a52173fd | [] | no_license | crowdbotics-apps/dark-waterfall-26026 | bdfd44240dae3c1ad20ed8b7a8da701308db5958 | 95f9eda959b6d21778ff59db2c5c9a585d6a670c | refs/heads/master | 2023-04-12T17:31:25.091727 | 2021-04-29T19:14:56 | 2021-04-29T19:14:56 | 362,922,208 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 417 | py | """
WSGI config for dark_waterfall_26026 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/2.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault(... | [
"[email protected]"
] | |
60647221ba6f895f8718efe359f5473970104ffa | 4cca71c31c7f89a219634d79c21404ca4eabe436 | /d2l_thrive/base.py | c3c0a4b0adc980e897da0d5958bd97a262716935 | [] | no_license | ucalgary/d2l-thrive-python | 1a03fb99d5e0d370f3a1349cb0d4231895a5e19e | 8c22d019c202aaa997c7333cf6711338c84621ee | refs/heads/master | 2021-01-10T02:02:58.076443 | 2018-03-12T18:04:42 | 2018-03-12T18:04:42 | 43,977,081 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,485 | py | #!/usr/bin/env python
# coding=utf-8
import os
import sys
from couchdb.client import Database
from couchdb.http import ResourceNotFound, ResourceConflict
class BaseObject(object):
def __init__(self, args=None):
self._args = args or sys.argv[1:]
def run(self):
"""The main runloop. Scripts should call this me... | [
"[email protected]"
] | |
ae7a1e257d3423cfd604b1e6c27ffe19ee1012f5 | 6b3e8b4291c67195ad51e356ba46602a15d5fe38 | /rastervision2/examples/utils.py | d521e74560b2de4494f0d0ff4344208ee3e221b0 | [
"LicenseRef-scancode-generic-cla",
"Apache-2.0"
] | permissive | csaybar/raster-vision | 4f5bb1125d4fb3ae5c455db603d8fb749221dd74 | 617ca15f64e3b8a391432306a743f7d0dfff352f | refs/heads/master | 2021-02-26T19:02:53.752971 | 2020-02-27T17:25:31 | 2020-02-27T17:25:31 | 245,547,406 | 2 | 1 | NOASSERTION | 2020-03-07T01:24:09 | 2020-03-07T01:24:08 | null | UTF-8 | Python | false | false | 4,864 | py | import csv
from io import StringIO
import tempfile
import os
import rasterio
from shapely.strtree import STRtree
from shapely.geometry import shape, mapping
import shapely
from rastervision.core import Box
from rastervision.data import RasterioCRSTransformer, GeoJSONVectorSource
from rastervision.utils.files import (... | [
"[email protected]"
] | |
15b30860d116d827c4c3de9db43e689dffc3d70f | 6c6531b6f93817a2720ff9b78fce6ad4d5bb500c | /PericiasMedicas/company/migrations/0007_auto_20191230_1711.py | 5603642c2f74d64ccb13c8e644b23e6a6f6f2902 | [] | no_license | massariolmc/periciasmedicas | 6d3c142a5f5e308b049d57b30d698526c8aecda3 | 9b5b0e192bf51bb1b297f0983b2a0ab0c24b31b1 | refs/heads/master | 2022-12-08T11:13:10.981476 | 2020-02-21T23:32:44 | 2020-02-21T23:32:44 | 235,667,801 | 0 | 0 | null | 2022-11-22T05:15:44 | 2020-01-22T21:12:16 | JavaScript | UTF-8 | Python | false | false | 472 | py | # Generated by Django 2.2.7 on 2019-12-30 21:11
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('company', '0006_auto_20191230_1629'),
]
operations = [
migrations.AlterField(
model_name='company',
name='state_regi... | [
"[email protected]"
] | |
c801f423eba575edaad8ae847ba8affbbb0388d1 | 7e2214619d5948d0d5f7e22f46dee679d722d7b3 | /dealOrNoDeal.py | 309ffe88c017c45a4345d69b454a2286181be26f | [] | no_license | udwivedi394/misc | ef6add31a92e0d2d0505e8be016f0a868a6ac730 | 64dffb5db04c38465fffb415bec1d433b1caa8f6 | refs/heads/master | 2021-09-09T06:16:32.124586 | 2018-03-14T05:10:55 | 2018-03-14T05:10:55 | 116,167,845 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,934 | py | #Nest away
import sys
def dealorNoDeal05(A,B):
lookup = [B-i for i in A]
maxi = 0
for i in xrange(1,len(lookup)):
if lookup[i] >= 0:
lookup[i] = lookup[i]+(lookup[i-1] if lookup[i-1] >=0 else 0)
maxi = max(maxi,lookup[i])
return maxi
def dealorNoDeal(A,B):
lookup =... | [
"[email protected]"
] | |
e2c308aeae8a487bcc9a87178325d76964ca04fa | 1cc11e1ee5bb3c39e6a61853a1913ef9aef60e5d | /neighbors.py | e53f3722ab3024e56282e997f61f39434cc68259 | [] | no_license | hzc0097/machine-learning | a21dce5b1fe4838baa84147af10542401f2186e0 | af4929c133a0c6f5c17531540885772fca0ebc72 | refs/heads/master | 2023-07-31T17:05:34.013712 | 2021-09-03T16:21:30 | 2021-09-03T16:21:30 | 402,630,292 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,790 | py | import pandas as pd
import numpy as np
import time
from sklearn import neighbors
from sklearn.model_selection import train_test_split
from matplotlib import pyplot as plt
import pickle
def singleRunKNN():
# read dataset
df = pd.read_parquet('fullDataPASFaster.parquet')
df.drop(['summonerName'], 1, inplac... | [
"[email protected]"
] | |
10e96bc785ac19c2efd851c350ebe01d79ef24e4 | 7cc57bb8bf0f7219e2ed0b05fadc271a7b20bf0e | /DEVKITv1/oled/main.py | 39341702169b799949baca2e15570e1b7d4e837e | [] | no_license | cloudymike/micropythonexamples | 3bc03bccc1d3056f81e4d254b3f7a159648d85f1 | 953531451d89fb20ff81ceeef74d8bae6db3d4f3 | refs/heads/master | 2023-08-19T01:50:23.763464 | 2023-08-07T15:52:54 | 2023-08-07T15:52:54 | 200,582,793 | 0 | 2 | null | 2023-09-14T02:32:25 | 2019-08-05T04:35:00 | Python | UTF-8 | Python | false | false | 1,128 | py | # Complete project details at https://RandomNerdTutorials.com
from machine import Pin, I2C
import ssd1306
from time import sleep
import os
from time import sleep_ms
import gfx
import bignumber
# ESP32 Pin assignment
i2c = I2C(-1, scl=Pin(22), sda=Pin(21))
# ESP8266 Pin assignment
#i2c = I2C(-1, s... | [
"[email protected]"
] | |
139b190ed31d88e56031de11be07c1f4fe9af5b7 | 9785b5c8b997bc0241e8520b77bc7078d4c29029 | /2018/picoctf/authenticate/exp.py | 83476da0dbc034dd4f749350c757a078311fe650 | [] | no_license | lucyoa/ctfs | 4619571201bece8d7a6545f0cdc8291c153b6ef2 | 0726ee26052eabc5ee854fd976d0905d40668e8d | refs/heads/master | 2020-07-31T01:49:00.736206 | 2020-06-25T19:46:53 | 2020-06-25T19:46:53 | 210,439,562 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 268 | py | #!/usr/bin/env python
from pwn import *
# r = process("./auth")
r = remote("2018shell.picoctf.com", 52918)
r.recvuntil("Would you like to read the flag? (yes/no)\n")
payload = (
p32(0x804a04c) +
"%11$n"
)
r.sendline(payload)
print(r.recvall())
r.close()
| [
"[email protected]"
] | |
a88bad32c4bc419dba4eec0c3f96db48fa505f5b | 149273fc2e0dd4b86f7eadc59a548e6caf154288 | /experiments/run_experiments_tSNE.py | 113b171133f943f80100d908c0283e27da55947a | [
"Apache-2.0"
] | permissive | Liyubov/PaCMAP | 65eadb48c45187a8c8515fb626fd2ad63af0f2b2 | 91479ba60737a47eaa57dbd52fcac155821e9269 | refs/heads/master | 2023-08-02T15:23:00.580215 | 2021-10-09T02:31:10 | 2021-10-09T02:31:10 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,478 | py | import FlowCal
import json
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn import manifold, datasets
from time import time
from MulticoreTSNE import MulticoreTSNE as TSNE
from sklearn.decomposition import PCA
from sklearn.datasets import make_swiss_roll, make_s_curve
def data_pre... | [
"[email protected]"
] | |
3482043d0c0a812ef98f1ffb1e3a0e6e30a7ab0d | a35a56e1908a483be474bfc9d90de17ed62572c1 | /flights/migrations/0001_initial.py | 13f3fd70ddd1878edc1e1c249d243c09089d3a24 | [] | no_license | glezluis/ca-reango | 38156c189933a23916060d17af2178d40d37ebe3 | ce3747796fe3887db531bf30f167695ee2a3346d | refs/heads/main | 2023-06-05T13:34:31.405927 | 2021-06-29T03:20:44 | 2021-06-29T03:20:44 | 381,147,715 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 664 | py | # Generated by Django 3.2.2 on 2021-05-13 04:27
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Flight',
fields=[
('id', models.BigAutoFiel... | [
"[email protected]"
] | |
811fd686f5129b674ddd6d46c77719477b3fb263 | b2eb8af13e5532fc5c613bbd68af97fa5938b758 | /beginner level/count digits.py | 084171349b4c07bb3c473b3a1c85a5dcdc51e228 | [] | no_license | rahasudha2910/python-programming | 81964ffd61c6a814e22543a9315b05eca028fd59 | f3cfbb9a3d368cd17fbd59c6ce4affa83fe36585 | refs/heads/master | 2021-04-06T00:24:45.160387 | 2018-05-03T06:16:38 | 2018-05-03T06:16:38 | 125,213,347 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 110 | py | count=0
number=int(input())
while(number>0):
number=number/10
count=count+1
print("numer of digits:",count)
| [
"[email protected]"
] | |
a955aa2adcf7d72b65e3af9165bf022c5a057ec0 | 9d29b302cca89a4ad816f99f1d3c708862dd4c0b | /client.py | 73c58c8f77fdac730b4bde122ffd76801a4ac751 | [] | no_license | Manoj-M-97/Flight-Booking-System | a28c57c770ea06cc4c8704dbddc2740ec3d86fcd | 649d74c63d73a24a3fd97406008903f806ffa34b | refs/heads/master | 2020-03-22T04:02:38.788029 | 2018-07-02T16:48:21 | 2018-07-02T16:48:21 | 139,468,945 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,361 | py | # Python program to implement client side of chat room.
import socket
import select
import sys
server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
if len(sys.argv) != 3:
print "Correct usage: script, IP address, port number"
exit()
IP_address = str(sys.argv[1])
Port = int(sys.argv[2])
server.connect((I... | [
"[email protected]"
] | |
feac86219e5f5519a0cbe579616b2954b9665b74 | bd185d3a4221c61f16fa52e282ce3ae5fcca1007 | /node_modules/node-sass/build/config.gypi | 479603f613e38a9dc4f31a142cdb320a66bda473 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | vijay-vadlamani/wiki_viewer | 74f2f21b495e30333479d41d167493c329ff4e78 | bbb5755ade4a85bf6255f99f3dc4c00d5fc77773 | refs/heads/master | 2020-03-18T10:32:54.152037 | 2018-05-23T19:56:26 | 2018-05-23T19:56:26 | 134,618,885 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,270 | gypi | # Do not edit. File was generated by node-gyp's "configure" step
{
"target_defaults": {
"cflags": [],
"default_configuration": "Release",
"defines": [],
"include_dirs": [],
"libraries": []
},
"variables": {
"asan": 0,
"coverage": "false",
"debug_devtools": "node",
"debug_http2"... | [
"[email protected]"
] | |
6035dce05ab1ceb238455998bedfa82823ff466e | 3471728291ab015e6780763218f96a369897f5c4 | /imagefactory_plugins/OpenStack/glance_upload.py | c2b28347f49d65700b6205043a0e6637b27930f4 | [
"Apache-2.0"
] | permissive | zyga/imagefactory | 913fb4a987a746cff72f3074e0e338e896ac2e65 | b2a57168f1ef6608aedad73ed7ccd1e3626b2967 | refs/heads/master | 2020-03-24T07:33:43.270977 | 2018-06-26T19:37:55 | 2018-06-26T19:37:55 | 142,568,326 | 1 | 0 | Apache-2.0 | 2018-07-27T11:20:36 | 2018-07-27T11:20:36 | null | UTF-8 | Python | false | false | 1,452 | py | # Copyright 2012 Red Hat, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... | [
"[email protected]"
] | |
92c2d34affd7b5ef8b641035988995b7157e86b1 | ecb9a783694300b2ea5f77388b2d314995680808 | /src/iter.py | 3c97589dee843e70e392c3c7af4c7b23240a0335 | [] | no_license | yaoyuanyy/python_demo | 0ee5520027d2c406e320f25a0327b7a81155bab8 | 5a50fe900e1a254a17bbb623cb2fd9f8fbdb7079 | refs/heads/master | 2021-01-17T16:08:30.412766 | 2017-02-24T06:39:59 | 2017-02-24T06:39:59 | 83,010,359 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 146 | py | import sys
list = [1, 2, 3]
it = iter(list)
print(it)
while True:
try:
print(next(it))
except StopIteration:
sys.exit()
| [
"[email protected]"
] | |
24e8923ad779dc2cb7b8fd60ffb503312ae4b452 | db259ea23fabb6bdddfc26ad6d3c8fd852d6a9fc | /python/case_test.py | 19e755496002be90aee41ca9c49e5b57c53883ef | [] | no_license | bizzcat/codeguild | f5333996d80d1bb81373746f3368df5c72c9558d | 08d87d55107466dca8c6d7e80a2bd61ecbb95a7c | refs/heads/master | 2020-12-25T16:54:03.717775 | 2016-08-10T17:04:17 | 2016-08-10T17:04:17 | 55,080,415 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,039 | py | # Create a test module for your case change program
# import your case change program
# create a test case class
# write a test for your snake case to camel case functions
# run the test via PyCharms testing run config
#
# * test your other transformations in the case change
# * test one of the tic tac toe ... | [
"[email protected]"
] | |
c2835b1f8a3632284eca779d2dc1f17bfaf30295 | 6d501ea43b1a52bf4af44ae5677eba8b928ffec3 | /directory/signals.py | e1d22e0a309d7321f2db634715374ef5fabc6e4f | [] | no_license | mozilla/hive-django | 78d5e7bf687e2311a41d2b6d555b9671c4270b4d | bf95dce0af0148ecacde2256d235788fd79c7d5e | refs/heads/master | 2023-08-27T12:47:36.977377 | 2016-05-04T21:12:47 | 2016-05-04T21:12:47 | 55,106,672 | 0 | 2 | null | 2016-05-04T21:12:47 | 2016-03-31T00:12:58 | Python | UTF-8 | Python | false | false | 1,684 | py | from django.dispatch import receiver
from django.contrib.sites.models import Site
from django.db.models.signals import post_save
from django.contrib.auth.signals import user_logged_in
from django.contrib import messages
from registration.signals import user_activated
from .models import City, User, Organization, Membe... | [
"[email protected]"
] | |
e0764768d0223253f5b731c708b8922ab74d8968 | 5ca0124a85bae76c73643246372898823345d5a9 | /pc_smac/pc_smbo/pc_smbo.py | 1f7aabbf310d2acffee21d378336e2e4064140b0 | [] | no_license | jtuyls/pc_smac | 8ebdd76e4ea2ce837dfd7d03d37f446a86094c57 | 0a6e8719438a3f510e0aaeda19c14dd8005d8c65 | refs/heads/master | 2021-08-14T18:15:00.162943 | 2017-06-10T10:52:56 | 2017-06-10T10:52:56 | 76,661,120 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 13,167 | py |
# This file is heavily based on the pc_smbo file of SMAC which can be found here:
# https://github.com/automl/SMAC3
import itertools
import math
import numpy as np
import logging
import typing
import time
import random
from smac.optimizer.base_solver import BaseSolver
from smac.epm.rf_with_instances import RandomF... | [
"[email protected]"
] | |
7a585f12998db78082bbf1742eaaebe96554b0df | 54a6a6c07276cdb6436d833243e3a15d6742cfe5 | /test/test_loop_snap_stop.py | 1cee41b933b33232cc7c1c6a13c1f49623651a8b | [] | no_license | soleil-ica/Lima-camera-imxpad | 6e17028dbe18a382c4e084426230da04bba127b0 | cf1767b9058f43cc44f807c65c4b5e8876b27d60 | refs/heads/master | 2023-08-29T09:48:43.274381 | 2023-02-15T18:00:28 | 2023-02-17T14:58:09 | 61,614,724 | 0 | 4 | null | 2022-05-23T16:05:21 | 2016-06-21T08:05:19 | C++ | UTF-8 | Python | false | false | 4,351 | py | #!/usr/bin/env python
#########################################################
#Arafat NOUREDDINE
#2014/11/19
#Purpose : Test LimaDetector state
#########################################################
import os
import sys
import PyTango
import time
import datetime
proxy = ''
#---------------------------------------... | [
"[email protected]"
] | |
f264cbe12ec190255d0fe7fb1219395eaff22bc8 | 743c3b0cd875fe294fc15b96de678c93ecd8ab27 | /foruser/myuser/urls.py | 838fc3a9e5c5fdfd03f5f634b2ec6fe3d8967638 | [] | no_license | yudian03/LOGIN | f3cc760ee25a34ce7b939de5475fc7f7097b59a3 | 3db6278bc15be6244187d9744f3bdf562c7d409f | refs/heads/master | 2020-05-01T04:30:17.146513 | 2019-03-23T10:51:11 | 2019-03-23T10:51:11 | 177,276,374 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 208 | py | from django.urls import path
from . import views
urlpatterns = [
path('register/',views.register),
path('login/',views.login),
path('home/',views.home),
path('logout/',views.logout)
] | [
"[email protected]"
] | |
0de2dcdd25e4cabb3723ac7cb45dbf917637dc3b | 909b93b8df2a79a2ba7567587604d764a34281fc | /bot/app_streamer.py | 9f885eb613ee7ad8498df4d050264a4778119448 | [] | no_license | ArtemZaZ/PultBot | f321282534c02789ac5b868844da15fe4614b9ac | d23b867eb7eda78b006fa32f503148da2a4d6d7f | refs/heads/master | 2020-03-07T05:52:29.748385 | 2019-12-06T12:23:14 | 2019-12-06T12:23:14 | 127,307,917 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 13,613 | py | import gi
gi.require_version('Gst', '1.0')
from gi.repository import Gst
import sys
import threading
import logging
import numpy as np
from bot.common import *
HOST = '127.0.0.1'
RTP_PORT = 5000
class AppSrcStreamer(object):
def __init__(self, video=VIDEO_MJPEG, resolution=(640, 480), framerate=30,
... | [
"[email protected]"
] | |
1b1ab3e24221ed687e2f7b52f6c610a97ea72193 | 2a4aced6789a09b64caead20fd231ed104f4583b | /capture/ximea-usb3/python/openCV/example_openCV_video.py | d5ce3a8d0bd1f3d22183a1ff0102b73f72fcc20d | [
"MIT"
] | permissive | ruedijc/jetson-cam-utils | 8dd2a8fa48b390b940b938c9a0519df5599ef63d | 29fb26892cc150f9679ad7d5c3220e38f733ab04 | refs/heads/main | 2023-04-27T12:22:09.079527 | 2021-05-06T16:54:33 | 2021-05-06T16:54:33 | 329,092,484 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,300 | py | from ximea import xiapi
import cv2
import time
#create instance for first connected camera
cam = xiapi.Camera()
#start communication
print('Opening first camera...')
cam.open_device()
#settings
cam.set_exposure(20000)
#create instance of Image to store image data and metadata
img = xiapi.Image()
... | [
"[email protected]"
] | |
c3b2ccf3279e3d6c131b50d1a8a089fc8ee00b32 | 5a52ccea88f90dd4f1acc2819997fce0dd5ffb7d | /alipay/aop/api/domain/BizListDataInfo.py | 5f874dfae528b4b6592ad1306c025ec59eb0239e | [
"Apache-2.0"
] | permissive | alipay/alipay-sdk-python-all | 8bd20882852ffeb70a6e929038bf88ff1d1eff1c | 1fad300587c9e7e099747305ba9077d4cd7afde9 | refs/heads/master | 2023-08-27T21:35:01.778771 | 2023-08-23T07:12:26 | 2023-08-23T07:12:26 | 133,338,689 | 247 | 70 | Apache-2.0 | 2023-04-25T04:54:02 | 2018-05-14T09:40:54 | Python | UTF-8 | Python | false | false | 1,206 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class BizListDataInfo(object):
def __init__(self):
self._code = None
self._name = None
@property
def code(self):
return self._code
@code.setter
def code(self, ... | [
"[email protected]"
] | |
60a6d3c470672d39fae27e61c518fbf33c37c655 | 0d2a66d7f04c11f7ac655ffeee855def9f3b406d | /setup.py | d70de94d5c6d3ccc808c1c53110d146da07a1559 | [] | no_license | lmbeccaria/python_network_tests | dd7d46850d0a440d95c36edbab78c94d3263f10a | 18b0ba47399abd2f4aa736c1bc9095d90f3c5339 | refs/heads/master | 2016-09-16T04:23:00.752284 | 2014-08-07T01:32:05 | 2014-08-07T01:32:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 453 | py | try:
from setuptools import setup
except ImportError:
from distutils.core import setup
config = {
'description':'Network Tests',
'author':'Luis B',
'url': 'URL to get it at.',
'download_url': 'Where to download it.',
'author_email': '[email protected]',
'version': '0.1',
'install_req... | [
"monkeyboy@intiwasi.(none)"
] | monkeyboy@intiwasi.(none) |
4bb8afa90a9835e931209b939aa2803521958601 | 2ee49dc0b16ddfd61bf4b2453edc7f733101a7fd | /bench_pyfftw_thread_4.py | d57613b2979e1a1f6f798571a1c6955caf1df2a8 | [
"MIT"
] | permissive | zhouxzh/Jetson_nano_stft_benchmark | 1e004f7fc53ff2ba1cfba60e9e00a559bd49e298 | ffa97984f95b9862ac2a10b8459bb7ef241c6c72 | refs/heads/master | 2020-05-19T02:25:37.344384 | 2019-05-03T16:04:06 | 2019-05-03T16:04:06 | 184,780,356 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,541 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Computes the spectrogram of a test signal using numpy and fftw.
Author: Jan Schlüter
"""
import sys
import os
import timeit
import numpy as np
from pyfftw.builders import rfft as rfft_builder
from testfile import make_test_signal
INPUT_AS_FLOAT = False
def spec... | [
"[email protected]"
] | |
98616241fbdcb931bae105f55cdfe34251a2d974 | 26408f11b938a00f8b97a3e195095a45a12dc2c7 | /sneeze/Player.py | e1aecbdfcc7127f7257b5d20b68035b164acb822 | [] | no_license | cz-fish/sneeze-dodger | a7ea25e9267d408e8f46a9fb7a988d52dca8bd8e | 4fd333345d1f7d82c92ddcb15f18077362766844 | refs/heads/master | 2022-07-07T01:39:06.162125 | 2020-05-18T08:01:57 | 2020-05-18T08:01:57 | 255,090,774 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 849 | py | from sneeze.Actor import Actor
from sneeze.Sprite import Sprite
from sneeze.Types import *
class Player(Actor):
def __init__(self):
super().__init__()
self.sprite = Sprite.load('guy')
def move(self, inputs: Inputs, collision) -> None:
self.update_speed(inputs.xvalue, inputs.yvalue)
... | [
"[email protected]"
] | |
9b104ec52e6584f2efd846c1fb6016f0c5fbebfd | f3a714a064b12ce957f496c97200d5b0c31f631e | /remove_current.py | de3697d60276efd9f98f89abb276c2b081da2181 | [] | no_license | krachbumm3nte/playlistAdder | af06d6d0de731f42cb68cf5acf7d29a809d13578 | 7caac884101b59354a0aa2928b9f8089a3c0cdb9 | refs/heads/master | 2020-05-04T01:32:07.552438 | 2019-11-30T18:09:52 | 2019-11-30T18:09:52 | 178,907,025 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 802 | py | from functools import partial
import config
from adder_utils import *
def removetool(master, list_id, list_name, song_id, spotipy_instance):
removefunc = partial(remove_song_from, song_id, list_id, spotipy_instance, list_name)
query, query_label = continue_query(querytext=f"remove this song from {list_name... | [
"johannes.gmx.de"
] | johannes.gmx.de |
57592e74791a7c3a6e0010ee1083835391f9c27f | 530ce8ce026cf0ed96184e0739fa5fd109dd0b76 | /ENotePadAlgorithm/strFind/boyerMoore.py | a115e4e07f743af7eea5f1ea3974edd50d020901 | [
"MIT"
] | permissive | xioacd99/EnhancedNotePad | 0c41eb64dc4ddb57975d521a6320414d0ed0f0fd | b95da1c4d957061ad60015f3b9ab5c445b5a1bc4 | refs/heads/main | 2023-07-13T13:47:50.804090 | 2021-08-25T15:53:55 | 2021-08-25T15:53:55 | 388,513,669 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,319 | py | import os
# import time only for performance test
import time
# 单词结尾符号/单词分隔符
wordSplit = [',', '.', ':', '"', ",", '\n', ' ', '?', '!', '(', ')',
'，', '。', '‘', '‘', '“', '”', '？', '！', '（', '）']
class BoyerMoore(object):
def __init__(self):
super(BoyerMoore, self).__init__()
self.b... | [
"[email protected]"
] | |
8aa66e9bfbe8bd636da164d691be14c9753a0cf6 | 2e318c8fdbb8e8826937ffbf1eede7034a47960a | /GazeGAN_using_CSC/train_old1.py | 3a4c6f4bdfa7d3250a264ab2b5f775c39e7fdeb4 | [] | no_license | chenkeshuai/Sal-CFS-GAN | e06efbe5e49360c8f5634704c487483795c10d31 | 8ae0fb77efff503190bcc8b6333c1d21ea1bfbce | refs/heads/master | 2022-06-06T01:18:00.664722 | 2020-05-06T10:54:11 | 2020-05-06T10:54:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,507 | py | ### Copyright (C) 2017 NVIDIA Corporation. All rights reserved.
### Licensed under the CC BY-NC-SA 4.0 license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode).
import time
from collections import OrderedDict
from options.train_options import TrainOptions
from data.data_loader import CreateDataLoader
from... | [
"[email protected]"
] | |
79ed0714d0c43d90dfdd81ec91c54c3b87f9b879 | dbf65af61e62e9617d2bbc35fba625e005aed863 | /ir-wuggy/dtw/plot/plot-dtw-profile.py | a99b386410fe9fae83ad6fbbda046e4a8bda24f5 | [] | no_license | chorowski-lab/zs2021 | bef261073d8a26bee62576ccf107e163ecf9fe89 | bbcb97903aeeed861376a336a8af8f74a0d03ded | refs/heads/main | 2023-06-19T01:01:51.904899 | 2021-04-08T19:52:34 | 2021-04-08T19:52:34 | 345,989,211 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,993 | py | # %%
import numpy as np
import os
import pathlib
import argparse
import pickle
import yaml
import pandas
import matplotlib.pyplot as plt
# %%
parser = argparse.ArgumentParser(description='Compute the pseudo log-proba of a list of sentences')
parser.add_argument('config', type=str, help='Location of the .yaml config fi... | [
"[email protected]"
] | |
8ffe39ec8cedaeb1bdc48e7cdab9d9db8a9f34ba | 30013757093b79e83211fae3f6e2929d402c49e2 | /tpred/mine_twitter_by_followers.py | 13af02cd5b3d2b4a132a1d510a3682536fdebf06 | [] | no_license | schetudiante/tpred | 01031252046b566714878c3af7d870b4cec1b1e7 | 773d70d81d4e1478d641bd5f5f7ee3f4b6250bd8 | refs/heads/master | 2021-05-30T19:56:04.196543 | 2015-12-23T23:59:36 | 2015-12-23T23:59:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 189 | py | import t
import tweet_mine
res = t.api.friends.ids(screen_name='amirpc')['ids']
ids = [str(twid) for twid in res]
it = t.stream.statuses.filter(follow=",".join(ids))
tweet_mine.mine(it)
| [
"[email protected]"
] | |
0df491aaf04bd5efd3e1d19660af119f72bb10a1 | 93a959b0458bcdb60d33a4504f483078a78a56b6 | /CwnGraph/cwn_annotator.py | 7b58fe2e65d190fd9571cc70e6a5695b91cfcc2f | [] | no_license | kylecomtw/CwnGraph | a82d763a645c3342502274e6760cb63593f23d42 | 86ddb17de548a61c57f925fb2d783467431db18b | refs/heads/master | 2021-10-24T10:00:19.913420 | 2019-03-25T04:45:36 | 2019-03-25T04:45:36 | 84,843,165 | 3 | 2 | null | null | null | null | UTF-8 | Python | false | false | 5,050 | py | import os
import json
from datetime import datetime
from . import cwnio
from . import annot_merger
from .cwn_types import *
from .cwn_graph_utils import CwnGraphUtils
class CwnAnnotator:
PREFIX = "annot/cwn_annot"
def __init__(self, cgu, session_name):
self.parent_cgu = cgu
self.name = session_... | [
"[email protected]"
] | |
11c22d73f60539e4d366a803c0661c8593aee320 | d889769f22d95d686ffce6564b1a5529e462d770 | /utils/get_data.py | 6bfb524940602e4ebf825f56b25e00790700921d | [] | no_license | ycpan/HbaseOperation | 2051ad1992ca3dd57d8a180d88b56c46549e28ae | 15f470fad590d9f4635d5b38407f8f739bd621f3 | refs/heads/master | 2022-02-13T05:15:18.745507 | 2019-07-09T02:51:40 | 2019-07-09T02:51:40 | 120,189,360 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,498 | py | import pandas as pd
import pickle
import happybase
import struct
import numpy as np
import sys
# from influxdb import DataFrameClient
import re
import time
from datetime import datetime, timezone, timedelta
# from utils.conf import sql_db_configs
def get_csv_data(path, header=None):
"""load padas dataframe from... | [
"[email protected]"
] | |
effa795ba011f8dc2f6b6da9ac6642b41478c955 | ac2567d2be46412f10a47aba6b062347fb831ec9 | /twitterTest.py | d48b78dc469f066c5c8a5c8ce76e0454cb493cd7 | [] | no_license | rhymg/TwitterScraping | e9e8d4098ba4d28cdb0d17f76de98a81c08432aa | 769effdbdf83a170c13d2cac51ca5df7956e2dab | refs/heads/master | 2022-11-24T11:46:46.637370 | 2020-07-18T19:19:17 | 2020-07-18T19:19:17 | 280,906,432 | 0 | 0 | null | 2020-07-19T16:34:18 | 2020-07-19T16:34:17 | null | UTF-8 | Python | false | false | 531 | py | import GetOldTweets3 as got;
word = 'fuck';
f = open("usernameTest.txt", "a");
tweetCriteria = got.manager.TweetCriteria().setQuerySearch(word).setMaxTweets(10);
tweets = got.manager.TweetManager.getTweets(tweetCriteria);
for tweet in tweets:
print(tweet.text + ' BY: ' + tweet.username + '\n');
if wo... | [
"[email protected]"
] | |
0d45b58ea30bf2d1410cade9e95116631c1f3d7b | 79dc13c4b3a6d7cf2ab53312e95493d57d99f8a6 | /hw4/all_copied_features2 | 76911544a27ec4eccfcaafb70bd8a42d29505018 | [] | no_license | vrobison/sp2015.11-731 | 311198e35f069f5f22dc7ee3abf2e98749215be8 | 972f3b5292c41f81b12b0c2364a2936b78c55390 | refs/heads/master | 2021-01-17T23:55:05.067828 | 2015-05-08T15:03:34 | 2015-05-08T15:03:34 | 29,400,593 | 0 | 0 | null | 2015-01-17T18:14:08 | 2015-01-17T18:14:07 | Python | UTF-8 | Python | false | false | 11,771 | #!/usr/bin/env python
import sys
import argparse
import numpy as np
from scipy.sparse import csr_matrix
import random
from collections import defaultdict
from utils import read_ttable
def dot(f, w):
s = 0.0
for k in f.keys():
s += f[k] * w[wvocabulary[k]]
return s
def updatew(wi,xcy,ynot):
#x,prev,next,y,origf... | [
"[email protected]"
] | ||
99c78b4857e3bb376f9341fe3607dec6bb56d5d2 | 85bfd24a172bb4b35ff373599fca4096c9c4c529 | /testinfra_tim/test_service.py | 0e7f0d3101898495b917efb0ccfa88dfcdce58d5 | [
"MIT"
] | permissive | scaleway/tim | 503a0e7726da8e97636a09e5dcaa792bbd701a48 | 6bfa6113fdd2b18b1facee47353643544457f1f4 | refs/heads/master | 2020-12-02T07:57:05.616645 | 2017-09-08T15:29:50 | 2017-09-08T15:39:15 | 96,750,851 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,419 | py | '''
Copyright (C) 2017 Scaleway. All rights reserved.
Use of this source code is governed by a MIT-style
license that can be found in the LICENSE file.
'''
from functools import reduce
from .tooling import yaml_params, listize, map_sum, params_warn
def _get_services(params, running=True, enabled=True):
"""
T... | [
"[email protected]"
] | |
ef7e4cf3a4bc9c1068b4866be245fb998a0ef38f | f8101363fff2bec14a152c3ba6d4d7f5e2e73c0a | /filehandler.py | 00455f9644e5cda9f545d150b167edf7f9015dc4 | [] | no_license | Adsime/TDT4173-A5 | 25e89ea4489454587a805bc5b58387c6c5bdf929 | 66d2547503c900b9d3e84d41c408fbc6243cdb31 | refs/heads/master | 2020-03-14T17:07:40.041536 | 2018-05-04T19:56:00 | 2018-05-04T19:56:00 | 131,712,698 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 716 | py | import matplotlib.image as img
from image import Image as dimg
import numpy as np
letter_path = "./data/chars74k-lite/"
detection_path = "./data/detection-images/detection-"
extension = ".jpg"
def read_letter_images(letter):
letter_images = []
try:
i = 0
while True:
image = dimg(i... | [
"[email protected]"
] | |
a0fde5ce97072b01e205d1e9ff8227da865e77ae | 44d277aef0a9b2a8a4d2b8bd20e6402fab13f9f4 | /Fantasy CricketTeam Prediction/WebApp/dbms/new/database.py | 57d980b2785e184c42ad0026d48e920520406e35 | [] | no_license | pikachua7/Fantasy-Cricket-Team-Prediction | d6eeb8c8a9bff0a8d480e9f6b2b877075f78c6ae | d991264a4d3f8f33e106e5a43b55f853018af51d | refs/heads/master | 2023-01-05T14:12:56.440338 | 2020-11-07T17:38:28 | 2020-11-07T17:38:28 | 310,897,232 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,841 | py | import pymongo
# from new.views import team
# teams=team
myc=pymongo.MongoClient('mongodb://localhost:27017/')
mydb=myc['ipl']
class batsman_gen:
batsman=mydb['batsman']
def generate(self,teams):
array=[]
if len(teams)>=2:
query1={'Team':teams[0]}
query2={'Team':teams... | [
"[email protected]"
] | |
bd171b67cb9363e6bad907a04d5ab5e0bc909104 | c16d80fa4837ca849056dc1e66191825037969ed | /gptneo_piqa.py | d804ccdcc15115883cf1b8dceb7408a4520b8371 | [] | no_license | vivekvkashyap/gpt2-commonsens | c289819e440b52dfb7390c614494cd85437cd1c3 | f5d884bcf27c2bd2cb3cf8fa55f6151d12e17b9d | refs/heads/main | 2023-06-25T17:37:08.203910 | 2021-07-27T05:06:33 | 2021-07-27T05:06:33 | 389,845,411 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,707 | py | import jax
print(jax.local_device_count())
import jax.numpy as jnp
import flax
import flax.linen as nn
from flax.training.common_utils import get_metrics,onehot,shard,shard_prng_key
from flax.training import train_state
from flax.metrics.tensorboard import SummaryWriter
from flax.training import checkpoints
from data... | [
"[email protected]"
] | |
35b215ad4099e666c114c8229187f42384aed2ee | 62dcbce52fd9b47f97c8bd8df2f05fbf614d1abd | /ttvdb/tvdb_api.py | 0a08be8cfb5645e6e03b9e9c4eb10664ed74cfbc | [
"MIT"
] | permissive | namgar/mythboxee | e7007e435eea5cd5c74fd31e422bf2a259c6168b | 80129d47a85ad867bc1687958ba23387c705c789 | refs/heads/master | 2021-01-23T20:22:48.516873 | 2010-11-23T02:05:04 | 2010-11-23T02:05:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 29,282 | py | #!/usr/bin/env python
#encoding:utf-8
#author:dbr/Ben
#project:tvdb_api
#repository:http://github.com/dbr/tvdb_api
#license:Creative Commons GNU GPL v2
# (http://creativecommons.org/licenses/GPL/2.0/)
"""Simple-to-use Python interface to The TVDB's API (www.thetvdb.com)
Example usage:
>>> from tvdb_api import Tvdb
>... | [
"[email protected]"
] | |
3a7f9382b72dd52806311d2bed487a411dca70e4 | 1c4309daf6e53cc3cdf7dc9074cbb94d2dc7c15b | /digital/trend/trend/wsgi.py | a9ca274a90cc165c19e43f4a454b1df36ea19a5c | [] | no_license | OBAMARIE13/digital-trend | be55827e398dffcead4345eed8af40abaa059077 | 07113e987163050cb94b022e85428bdfd673dd25 | refs/heads/main | 2023-05-11T11:26:50.344084 | 2021-05-31T17:04:22 | 2021-05-31T17:04:22 | 372,575,744 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 387 | py | """
WSGI config for trend 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/3.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SETTING... | [
"[email protected]"
] | |
127f14137ff8c69323cb99a5ec67d900927cca5e | 4b17225bc3860419edb6a8818bbac82e6b36e79d | /employee_tracker/settings.py | ce1b5d600785fc29625c723fdb419d1d986f35e8 | [] | no_license | argon2008-aiti/employee_tracker | 8ab45ee727e07b242d6ac3fb446ca5c1b9649bb0 | 5be7c3bb323f3b350d26df4d4813b6b071324277 | refs/heads/master | 2021-01-15T13:00:03.644233 | 2016-10-06T16:42:28 | 2016-10-06T16:42:28 | 35,000,045 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,444 | py | """
Django settings for employee_tracker project.
For more information on this file, see
https://docs.djangoproject.com/en/1.6/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.6/ref/settings/
"""
# Build paths inside the project like this: os.path.join(BASE_DIR... | [
"[email protected]"
] | |
5ae031aeb99d729fe90dc2b53d1bb9e39586fc7e | ed273db8304adf27b9117817b7d4376ffef6f375 | /Carta.py | 79c61ecaa0c38454a082b6a89ad021f634094efb | [] | no_license | mamerida/python-poo-curse | 282a4cbe6704d18f7f59799354135bc1bc6d7ce5 | b99d1736ac77eed3dbc0371ddbefcd148e85f4db | refs/heads/master | 2023-07-13T05:35:40.103830 | 2021-08-23T15:46:50 | 2021-08-23T15:46:50 | 367,674,569 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 539 | py | class Carta:
def __init__(self, numero, palo ):
self.palo = palo
self.numero = numero
def convertir_numero_a_letra(self):
valor=""
if (self.numero == 11):
valor ="J"
elif (self.numero == 12):
valor ="Q"
elif (self.numero == 13):
valor ="K"
elif (self.numero == 1):
valor = "As"
else:
... | [
"[email protected]"
] | |
0c448d5d9533485b666d5f11510eb4bdf0e13294 | 9fa07ba96a5330712bb1f1d0874375e6f4923ce7 | /wait/www/387.py | 3d6ab8263419dea2fd32e7413af8f4570a1f4842 | [] | no_license | Ajatars/Ajatar | cf4460d881b18095ce968c883e68500d44f90570 | 943b71285e6b74ae38861aa305d26b0a9bef4050 | refs/heads/master | 2020-06-02T02:14:05.989075 | 2019-06-10T02:48:10 | 2019-06-10T02:48:10 | 191,002,958 | 11 | 2 | null | null | null | null | UTF-8 | Python | false | false | 981 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
POC Name : Mvmmall search.php SQL Injection
Reference : http://www.wooyun.org/bugs/wooyun-2011-01732
Author : NoName
"""
import re
from urllib.parse import urlparse
def assign(service, arg):
if service == "www":
r = urlparse(arg)
return Tru... | [
"[email protected]"
] | |
707062ffa62600fed5892717cfc5efb6677b3277 | 9743d5fd24822f79c156ad112229e25adb9ed6f6 | /xai/brain/wordbase/nouns/_plough.py | 8524ffbb0f26cf406e78e16dbed5ed7ccee77fc1 | [
"MIT"
] | permissive | cash2one/xai | de7adad1758f50dd6786bf0111e71a903f039b64 | e76f12c9f4dcf3ac1c7c08b0cc8844c0b0a104b6 | refs/heads/master | 2021-01-19T12:33:54.964379 | 2017-01-28T02:00:50 | 2017-01-28T02:00:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 427 | py |
#calss header
class _PLOUGH():
def __init__(self,):
self.name = "PLOUGH"
self.definitions = [u'a large farming tool with blades that digs the soil in fields so that seeds can be planted', u'If land is under the plough, crops are grown on it: ']
self.parents = []
self.childen = []
self.properties = []
s... | [
"[email protected]"
] | |
11e480051d1e2e4b524f910449fa7a03d3d0f592 | b3db0cb0849fc3c981077cc5dc071c6eac6fd1ed | /C.1.14.py | f9372e61feee0ec164fad2d51aa25739dd93f3b8 | [] | no_license | Andi-Abdi/Tugas-Struktur-Data | bcfcfd3cf4ac28ce966b30d07041d775b33db778 | 49162ad9c5869161df01bc1a0f8697c2d7d1623a | refs/heads/main | 2023-05-11T11:58:46.484954 | 2021-05-31T14:46:22 | 2021-05-31T14:46:22 | 372,522,215 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 257 | py | def odd_product_pair(data):
data = set(data)
for y in data:
for x in data:
if y == x :
continue
if y*x % 2 == 1:
return True
return False
print(odd_product_pair([5,7,9,14,16])) | [
"[email protected]"
] | |
ec81f69f8b35b27ca38c0fabe125ba6ef4bc3a1d | 1975ee674b36084366b1bbe2c091d8f0f8795dc0 | /demo/class_views.py | 49ac0086b684256a0215318d23d4992296ad6f5e | [] | no_license | srikanthpragada/PYTHON_03_JULY_2018_WEBDEMO | f193213788deadcab7ac7b183328269ba1334488 | 56e076ad30703117cafc56d6d95449c6ec8eebb2 | refs/heads/master | 2020-03-25T11:45:53.128704 | 2018-08-23T15:29:05 | 2018-08-23T15:29:05 | 143,747,408 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 877 | py | from django.views.generic import TemplateView, ListView
from django.shortcuts import render
from .forms import LoginForm
from .models import Course
class ClassView1(TemplateView):
template_name = 'class_view1.html'
class LoginView(TemplateView):
template_name = 'login.html'
def get(self, request):
... | [
"[email protected]"
] | |
a3a5d94d9d641fb85d1031115f2381f650289f28 | 46cb587e5473e6bb47878ebbaaf8fa76fcd97f89 | /09-NeuralNetwork/20181028/mnist_loader.py | 3fa24e108f8d4a4f8d6582b88155ce0ab44d70af | [] | no_license | AaronFlower/Jupyter | d342a3decb050985b4f4dcad4a0c1fd05a771f76 | 3fd252c10399e9057ba9a23e75651875ab6d89f2 | refs/heads/master | 2023-08-09T07:27:27.432826 | 2023-07-12T08:09:12 | 2023-07-12T08:09:12 | 84,337,325 | 1 | 1 | null | 2017-03-22T16:11:52 | 2017-03-08T15:42:13 | Jupyter Notebook | UTF-8 | Python | false | false | 1,089 | py | # -*- coding: utf-8 -*-
import gzip
import pickle
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
def load_data():
f = gzip.open('../mnist.pkl.gz', 'rb')
train, val, test = pickle.load(f, encoding='bytes')
f.close()
return train, val, test
def load_data_wrapper():
train, val,... | [
"[email protected]"
] | |
d897144be27bc308b3927bb78256939faeaab5ba | 509bf02d033c6a3c274360ab16f75c109a0ba31c | /test/test_hunalign.py | c59304af881eb0c447039bdebeb687d76180c585 | [] | no_license | israaar/textaligner | bb3a6b8210a12799ef40bec44b942f5ca325d2a8 | a03e28cc8264e0c207a7f1b6f56b0dbcc04eeba1 | refs/heads/master | 2022-01-27T14:35:43.553965 | 2019-05-16T07:57:14 | 2019-05-16T07:57:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,470 | py | # -*- coding: utf-8 -*-
import os.path
import unittest
import sys
from pprint import pprint
import operator
sys.path.append(os.path.abspath('..'))
from align import align, align_html
from hunalign import align_with_lang
class TestHunalign(unittest.TestCase):
def setUp(self):
self.maxDiff = None
... | [
"[email protected]"
] | |
275aa3e362920aae1e2af84fe0380f36fa448f39 | 55c250525bd7198ac905b1f2f86d16a44f73e03a | /Python/pygame/pygameweb/pygameweb/db.py | 57c70ca70133b811d4447037d0df7cd54b72e632 | [
"BSD-2-Clause"
] | permissive | NateWeiler/Resources | 213d18ba86f7cc9d845741b8571b9e2c2c6be916 | bd4a8a82a3e83a381c97d19e5df42cbababfc66c | refs/heads/master | 2023-09-03T17:50:31.937137 | 2023-08-28T23:50:57 | 2023-08-28T23:50:57 | 267,368,545 | 2 | 1 | null | 2022-09-08T15:20:18 | 2020-05-27T16:18:17 | null | UTF-8 | Python | false | false | 129 | py | version https://git-lfs.github.com/spec/v1
oid sha256:95c026dc0e7051336cd999158979e81f159d4470489660469d0e0175c66400da
size 1274
| [
"[email protected]"
] | |
4716976f68bf061fef859306dd4192440aa5d090 | 94312b972c9ea96404535d26a297c72e75f84d22 | /Weather_WebCrawl.py | 350443ebd66136fe19578ad51278528825577cdc | [] | no_license | 1LuvCode/My_Slut_TJ | 2e8092d78857497a45a22d4af2270dc4c51cdada | d7f39542cccb51b46d4d53d6489ef3b82079bc4d | refs/heads/main | 2023-02-25T20:16:32.461565 | 2021-02-02T11:28:37 | 2021-02-02T11:28:37 | 335,256,950 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,695 | py | import requests
from bs4 import BeautifulSoup
def Crawling_Weather(Finallocation):
url = 'https://search.naver.com/search.naver?where=nexearch&sm=top_hty&fbm=1&ie=utf8&query=' + Finallocation
hdr = {'User-Agent': (
'mozilla/5.0 (windows nt 10.0; win64; x64) applewebkit/537.36 (khtml, like gecko... | [
"[email protected]"
] | |
56688f3f32ef27e8f1ae4b5c9144316bdf9ad2cd | 21e2782bb70f183876c55940d7cefc1c82b16472 | /interview/server/tests.py | 066d157435dbd90bf9cbc7cd036fd76f04a93a3a | [] | no_license | RajsimmanRavi/backend-challenge | 13bdc09417fe4d2a7cce54288e27c73c800cf854 | f30860a868493a963ec98fc749b4ae3016a5c766 | refs/heads/master | 2020-08-09T04:29:56.057638 | 2019-10-09T18:53:30 | 2019-10-09T18:53:30 | 213,998,608 | 0 | 0 | null | 2019-10-09T18:50:22 | 2019-10-09T18:50:21 | null | UTF-8 | Python | false | false | 2,011 | py | import requests
import unittest
import random
from random import randint
from datetime import datetime
random.seed(datetime.now())
class TestStringMethods(unittest.TestCase):
def test_get(self):
response = requests.get('http://127.0.0.1:8000/conversations/1234')
self.assertIn("anson", response.tex... | [
"[email protected]"
] | |
619dff3fc4f5f34f2ea4f843e80b2f4d472b30d0 | b6bcfd935f7876fc65416e7340fda1c9b0516fd7 | /pyscf/tdscf/test/test_tduks.py | 091c6b43834c92a378e73acb5b9bd073aa22e37b | [
"Apache-2.0"
] | permissive | lzypotato/pyscf | 62f849b9a3ec8480c3da63a5822ea780608796b2 | 94c21e2e9745800c7efc7256de0d628fc60afc36 | refs/heads/master | 2020-09-06T22:45:04.191935 | 2019-06-18T06:04:48 | 2019-06-18T06:04:48 | 220,578,540 | 1 | 0 | Apache-2.0 | 2019-11-09T02:13:16 | 2019-11-09T02:13:15 | null | UTF-8 | Python | false | false | 13,906 | py | #!/usr/bin/env python
# Copyright 2014-2018 The PySCF Developers. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | [
"[email protected]"
] | |
8b04ac74aeadb6ba21d5c623f12f988aaa3af34c | bbfb3856386b7bbb0ec47e02d8be3f9764b8523a | /app.py | e104743f47838b66f9a0d73687f3f6529bd99019 | [] | no_license | tonnysilas/sqlpractice | 67f2fbb1e9c2074fbd59acd04e904c0955989bda | 12cce4da59cac4f86aa226da5f731ac9b7cd6986 | refs/heads/main | 2023-04-28T21:13:38.881594 | 2021-05-31T09:40:04 | 2021-05-31T09:40:04 | 372,434,016 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,888 | py | from enum import unique
from flask import Flask
import os
from flask import render_template
from flask_sqlalchemy import SQLAlchemy
from flask import request
app = Flask(__name__)
project_dir = os.path.dirname(os.path.abspath(__file__)) #finding the current app path. (Location of this file)
database_file = "sqlite://... | [
"[email protected]"
] | |
0fae2317ff82c61b45f4af1f32caf571d43b7215 | a23139a3a1de7427843c5216e2abc90cced88487 | /video_learn/03_keras_mnist.py | 32bf1d15fbaf25ea10d614a0c50a9b84df6f4f12 | [] | no_license | shxiangyan/Document | 7aeb3e07665662fa67179de4484d20c138256205 | 10352279b8696bbd934adb7ffdb63e0c017b8adb | refs/heads/master | 2021-02-07T01:04:58.884043 | 2020-04-27T14:48:13 | 2020-04-27T14:48:13 | 253,468,956 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,969 | py | import numpy as np
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Dropout
from keras.layers import Flatten
from keras.layers.convolutional import Conv2D
from keras.layers.convolutional import MaxPooling2D
# 先读入数据
(X_train, y_trai... | [
"[email protected]"
] | |
5a7cf3eb0101279de44ad43c46ab42689bd0eb5e | 8d6fb31cd96632d02db88663ea0a2112103033ce | /chaper7_compile_to_c/run.py | 76688b919787e0b0416a76253310c6c695f7c7a0 | [] | no_license | CodevilWang/high_perf_python | d75182732fed84b53f02f14d64b931ed0d1c001a | 000672c006f3fd5604b45a7857d72e55003fc30e | refs/heads/master | 2021-09-15T18:50:26.986311 | 2018-06-08T13:23:53 | 2018-06-08T13:23:53 | 114,531,549 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 86 | py | #!/usr/bin/env python
import sys
def calculate_z_serialize_purepython(maxiter, zs, cs) | [
"[email protected]"
] | |
754705493d33379d2a6b30e114411413ba153370 | 0d2cd2a19d37a4edbda53d9b22fefe726fa06457 | /while_list_indexes.py | ebb0808b61234444afa4cdc8acd38261c7ce5419 | [] | no_license | gkalidas/python-django-bundle | 22ab9b1cc798f6d995385e7959acf2057cd6ad01 | 66df9604d6b87d6398afca2127e70d8d11c8b95c | refs/heads/master | 2023-03-15T10:02:23.495413 | 2020-08-12T16:55:05 | 2020-08-12T16:55:05 | 266,520,942 | 0 | 0 | null | 2021-03-25T23:56:47 | 2020-05-24T10:50:14 | Python | UTF-8 | Python | false | false | 208 | py | # while with list and indexes
ex_list = ['one', 'two', 'three', 'four']
counter = 0
max_index = len(ex_list) - 1
while counter <= max_index:
number = ex_list[counter]
print(number)
counter += 1
| [
"[email protected]"
] | |
e7e2e35e74f6f746945d6189c17e6e7c5bf68ec4 | 4c852fab792606580acb3f3a61b7f86ae25930b0 | /Python/MIT-CompThinking/MITx600.1x/ProblemSets/wk3/L5PROBLEM5.py | 5fc93127f17702a2607600df981bd5e7b2f929a5 | [] | no_license | hmchen47/Programming | a9767a78a35c0844a1366391f48b205ff1588591 | 9637e586eee5c3c751c96bfc5bc1d098ea5b331c | refs/heads/master | 2022-05-01T01:57:46.573136 | 2021-08-09T04:29:40 | 2021-08-09T04:29:40 | 118,053,509 | 2 | 1 | null | 2021-09-20T19:54:02 | 2018-01-19T00:06:04 | Python | UTF-8 | Python | false | false | 259 | py | #!/usr/bin/python
# _*_ coding = UTF-8 _*_
def gcdRecur(a, b):
'''
a, b: positive integers
returns: a positive integer, the greatest common divisor of a & b.
'''
if b == 0:
return a
else:
return gcdRecur(b, a % b) | [
"[email protected]"
] | |
a1cc1637f3fb19d41494594668aa7c81e2d8aa00 | 2176442a012a0b73521d04e22bb9186a5e676321 | /display.py | 6a15632aad9ab6623c8adc9e5f6ee7278958dbf0 | [] | no_license | caleb-kahan/z-scan | 5e65c1382f60fed53fc36660ac5d36eecf2709e2 | 0ba703a99496c53a1d813ea0b9fa11679ec38d1f | refs/heads/master | 2022-04-17T08:32:54.662716 | 2020-04-19T00:55:44 | 2020-04-19T00:55:44 | 256,568,578 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,401 | py | from subprocess import Popen, PIPE
from os import remove
#constants
XRES = 500
YRES = 500
MAX_COLOR = 255
RED = 0
GREEN = 1
BLUE = 2
DEFAULT_COLOR = [0, 0, 0]
def new_screen( width = XRES, height = YRES ):
screen = []
for y in range( height ):
row = []
screen.append( row )
... | [
"[email protected]"
] | |
7c9050279a3de4691a1bb15a38d626d1f8517c3e | 6d6ad8fca4051e5b4e46bef431878059bac9161c | /howtouseMCP.py | 88ec0503dfbf6fec198e37921c812fdae93fda4c | [] | no_license | weichen0407/MCP-Digit-Recognition | 340b71e2542afcb7612bcb2a2134872afc4873a9 | d0b250e7c6b3384e5f7b9f9939f1c192a8d10880 | refs/heads/main | 2023-08-15T12:36:19.795385 | 2021-09-27T20:43:37 | 2021-09-27T20:43:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,347 | py | import numpy as np
import mcp.py
# First create the model with the desired inputs and outputs (inputs, outputs)
mcpModel = mcp.MCP(784, 10)
# Then use the MCP's getData function with a csv file to get the data as a matrix and labels as an array
traindata, trainlabs = mcpModel.getData('train.csv')
# If used for traini... | [
"[email protected]"
] | |
946eaac05979a4f663b7fefeba08d4f1dd8efb16 | d21c924fc23b812aaedeb2cfa3dfb108535a507f | /tw2/jqplugins/fg/defaults.py | 310f64fb53f192fa733e55b3ba04ea7270501562 | [] | no_license | toscawidgets/tw2.jqplugins.fg | eba3a90949c59dd7c6b3740ab09faa9b5d824a6d | 8317f3bec82364b95e86aa3655c7f787b25d715f | refs/heads/master | 2020-05-17T12:13:14.385977 | 2011-11-04T15:41:50 | 2011-11-04T15:41:50 | 954,861 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 56 | py | #jQuery.ui
_fg_dirname_ = 'jquery/fg/%(subdir)s'
| [
"[email protected]"
] |
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