blob_id stringlengths 40 40 | directory_id stringlengths 40 40 | path stringlengths 2 616 | content_id stringlengths 40 40 | detected_licenses listlengths 0 69 | license_type stringclasses 2
values | repo_name stringlengths 5 118 | snapshot_id stringlengths 40 40 | revision_id stringlengths 40 40 | branch_name stringlengths 4 63 | visit_date timestamp[us] | revision_date timestamp[us] | committer_date timestamp[us] | github_id int64 2.91k 686M ⌀ | star_events_count int64 0 209k | fork_events_count int64 0 110k | gha_license_id stringclasses 23
values | gha_event_created_at timestamp[us] | gha_created_at timestamp[us] | gha_language stringclasses 220
values | src_encoding stringclasses 30
values | language stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
classes | length_bytes int64 2 10.3M | extension stringclasses 257
values | content stringlengths 2 10.3M | authors listlengths 1 1 | author_id stringlengths 0 212 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b7f64b488967b17bca55e572ba1fa82ce4bb0851 | 5d0a85c793266da7ea77aed0998398cc2eef0e49 | /Sem 4/AI/Assignment2/task2/cube.py | 6188ab2af0536685b9b891182a5df8c38cc9f969 | [] | no_license | GeorgeSfarz35/UBB-Projects | 8757efeeb4f8517602e2f0659050a6e54c47109f | b025958be030fd80c6b571cdd6e26c6a1bbd61b9 | refs/heads/main | 2023-09-03T15:30:08.652869 | 2021-10-15T16:02:08 | 2021-10-15T16:02:08 | 417,543,524 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,886 | py | import pygame, sys
from pygame.locals import *
from OpenGL.GL import *
from OpenGL.GLU import *
######
import random
verticies = (
(1, -1, -1),
(1, 1, -1),
(-1, 1, -1),
(-1, -1, -1),
(1, -1, 1),
(1, 1, 1),
(-1, -1, 1),
(-1, 1, 1)
)
edges = (
(0,1),
(0,3),
(0,4),
(... | [
"george.sfarz@stud.ubbcluj.ro"
] | george.sfarz@stud.ubbcluj.ro |
4b803dc11bc61c8e8bfaa692a0a6f248f40f8b06 | bf885e4a58ac5ab888890e297eafcfca907d7845 | /hello_world_project/hello_world_project/urls.py | d3bf32b3ef4875f4d09711b297f85325df8055ae | [] | no_license | manishbalyan/django-hello_world_app | c54e4875a9bb3dac7e58224f11e1cf6d60b70463 | bc53fa0a8d3e57bc085bc113c0d5640521c45e44 | refs/heads/master | 2021-01-23T16:28:18.954683 | 2019-02-13T05:55:24 | 2019-02-13T05:55:24 | 38,373,453 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 418 | py | from django.conf.urls import patterns, include, url
from django.contrib import admin
urlpatterns = patterns('',
# Examples:
# url(r'^$', 'hello_world_project.views.home', name='home'),
# url(r'^blog/', include('blog.urls')),
# this link the project urls to app urls
url(r'^admin/', include(admin.si... | [
"balyan05.manish@gmail.com"
] | balyan05.manish@gmail.com |
9b698fbb7fa81969df29bb6c75b7825c6c411271 | 50fa5e53d749f1ee829ecdb8351374ca80db1b5a | /DraggablePoint.py | 5654e97856b41c44480631c84f82ac1e76ae3482 | [] | no_license | locdoan12121997/matplot-test | bd938a47be13dfe0f89b87558fd4d6e5ee6fe0ec | 7536ca3f3c1748e095195a2b8778443795504e96 | refs/heads/master | 2022-07-07T22:14:31.764868 | 2019-10-01T03:58:31 | 2019-10-01T03:58:31 | 211,907,700 | 0 | 0 | null | 2022-06-21T22:57:51 | 2019-09-30T16:44:48 | Jupyter Notebook | UTF-8 | Python | false | false | 3,459 | py | import matplotlib.patches as patches
from matplotlib.lines import Line2D
class DraggablePoint:
lock = None
id = None
lines = []
def __init__(self, parent, x, y, size=0.3):
self.parent = parent
self.point = patches.Circle((x, y), size, fill=True, fc='k', ec='g')
self.x = x
... | [
"cs2015_loc.dtt@student.vgu.edu.vn"
] | cs2015_loc.dtt@student.vgu.edu.vn |
9a0d49f1da096724198cae1381ead5d2f5ab901e | 7d4f3360991786ea493b5020e327951613ea3e54 | /node_modules/mongoose/node_modules/mongodb/node_modules/bson/build/config.gypi | 65bb45cf42ebcb13eaa1fc5f90908018caa7f712 | [
"Apache-2.0",
"MIT"
] | permissive | kiranw/travelingtable | ec7224e4d2496ce55a66de87a24f697e17796ef2 | 520d99bff8d0d72ba9986c3a0e0762fb8074892c | refs/heads/master | 2016-09-05T22:02:38.520882 | 2015-03-02T03:36:34 | 2015-03-02T03:36:34 | 31,521,984 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,116 | gypi | # Do not edit. File was generated by node-gyp's "configure" step
{
"target_defaults": {
"cflags": [],
"default_configuration": "Release",
"defines": [],
"include_dirs": [],
"libraries": []
},
"variables": {
"clang": 1,
"host_arch": "x64",
"node_install_npm": "true",
"node_prefi... | [
"kiranw@mit.edu"
] | kiranw@mit.edu |
6f319e57426860fd21a49fcc0ff9ad5f63b64e02 | ed9d718007b5bc776f3405ad6bac3a64abdebf0b | /google/cloud/logging_v2/services/metrics_service_v2/transports/grpc.py | 6a7a2c6a61a74aea88c49021160e9d906ee686b5 | [
"Apache-2.0"
] | permissive | renovate-bot/python-logging | 06b020e1aaae238b2693264bbad489567902481b | 28d141d0e8ed4560d2e33f8de0d43b0825a7f33f | refs/heads/master | 2023-08-31T09:01:49.829649 | 2021-08-30T20:37:20 | 2021-08-30T20:37:20 | 238,564,076 | 0 | 0 | Apache-2.0 | 2020-02-05T22:49:14 | 2020-02-05T22:49:13 | null | UTF-8 | Python | false | false | 15,816 | py | # -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | [
"noreply@github.com"
] | renovate-bot.noreply@github.com |
03de2449eab530e9938f1967544c20b6d90aa7d6 | 7ac83871db3ac0d2f3403ca574d6c16729b14e51 | /p14.py | a035e1d6971ebe5411b33deef53ec2b3baa6c913 | [] | no_license | hexiaolang/TensorFlow | aff18372c8edbc0102c83e535315e42c9ce0b022 | 82f5c00045e0a0bc49cffbcb4572fbdc4d8ec2b7 | refs/heads/master | 2021-04-26T23:56:12.375649 | 2018-03-06T09:23:38 | 2018-03-06T09:23:38 | 123,882,377 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,104 | py | # -*- coding:utf-8 -*-
import tensorflow as tf
import numpy as np
def add_layer(inputs, in_size, out_size, n_layer, activation_function=None):
layer_name = 'layer%s' % n_layer
with tf.name_scope(layer_name):
with tf.name_scope('weights'):
Weights = tf.Variable(tf.random_normal([in_size, ou... | [
"helin0905@163.com"
] | helin0905@163.com |
09cf6f7180cf4a125f28ec1629fc501026177646 | 041228051fa241354ea3f33cd3065be58b3a7258 | /binary_tree/huffman_decoding.py | 8400dae15ebea018328ed06089541281b26a30c1 | [] | no_license | muthusrathinam/30dayscoding | d52d6abd688e0d3d17115804dbbb613314a938c7 | da5f880ba0252d2d425e1171924c8ad5e821e130 | refs/heads/main | 2023-06-21T15:45:00.224532 | 2021-07-23T06:19:19 | 2021-07-23T06:19:19 | 364,475,496 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 489 | py | def decodeHuff(root, s):
#Enter Your Code Here
#create temp. pointer
temp = root
result=[]
#traverse binary coded string
for char in s:
#traverse left of the tree
if char is '0':
temp = temp.left
#traverse right of the tree
else:
temp = t... | [
"muthusmr444@gmail.com"
] | muthusmr444@gmail.com |
1bd538971347d12cadaa9a32a71f8df8df448517 | 0ec06804975ff5ae7e4258d088d2a940e7b7f128 | /artenv/artproject/artwork/settings.py | e12ad39f7dccf62d2210bcfa3f13ab838875340f | [] | no_license | NatashaGumbo/Artworks | 4d38c817a7fefb22989590d08fcea2d8e22fc04c | fbbd7f9f16f48ea377159bb060460c039846461e | refs/heads/master | 2021-08-11T09:39:11.739360 | 2017-11-13T14:11:15 | 2017-11-13T14:11:15 | 110,244,784 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,444 | py | """
Django settings for artwork project.
Generated by 'django-admin startproject' using Django 1.11.7.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.11/ref/settings/
"""
import os... | [
"tashaverahgumbo@gmail.com"
] | tashaverahgumbo@gmail.com |
b8c213645b92dcf3207a40770f860521dd4ee3aa | 1363e0788e8359d7d50e7238ae08a165af3eced1 | /shoppon/logs/my_syslog.py | 1490cd48ce62af50024b0ee0f9f65b0115a0da37 | [
"MIT"
] | permissive | shoppon/Python-learning | dd9b94f81a0d5d47061b3b6405ba5b00d6094a0d | 50b68785b6b3b78a7deba3f452fa9c0fad218e9b | refs/heads/master | 2021-06-20T16:15:38.156790 | 2020-12-22T15:20:44 | 2020-12-22T15:20:44 | 148,798,551 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 601 | py | # coding: utf-8
import logging
from logging import Formatter
from logging import StreamHandler
from logging.handlers import SysLogHandler
try:
import syslog
except:
syslog = None
def init():
# 指定syslog的programname
syslog.openlog('shoppon')
def get_logger():
logger = logging.getLogger(__name__)
... | [
"shopppon@gmail.com"
] | shopppon@gmail.com |
63875d79110d18f6cff0081c2b8bd5e9f9f2c73c | ce29e42a50e35ec4637521bf8a3b71ab5f2fb9a6 | /others/efficient/multi_process_manager.py | 76f62e733dced66c471ded08dfc6895c02769ffe | [] | no_license | ico-Meng/WebCrawler | 97b3d5f0956cc13a83009a26c3e50944252fba44 | 7d9236ee4e1c664d257f550d64186eeed892188b | refs/heads/master | 2020-03-15T21:40:26.224465 | 2018-05-06T17:13:36 | 2018-05-06T17:13:36 | 132,359,481 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 676 | py | #!/usr/bin/env python
import random, time, Queue
from multiprocessing.managers import BaseManager
task_queue, result_queue = Queue.Queue(), Queue.Queue()
class QueueManager(BaseManager): pass
QueueManager.register('get_task_queue', callable=lambda: task_queue)
QueueManager.register('get_result_queue', callable=lamb... | [
"ico.yigang.wang@gmail.com"
] | ico.yigang.wang@gmail.com |
3d29fc4351f1f443d97e90cdd5c1312728d92434 | d498180b97f5f474c969b8f89fef522ae1afa642 | /src/kubectl_launcher/config.py | 9c0214253271dfaa0856cb57b576574f026dd584 | [] | no_license | fm1ck3y/kubectl_launcher | cff19fc06f461655cdb8570f4701373b03f6586c | c842dae62ee265ab4e6aaaad01510920f3c0e0df | refs/heads/master | 2023-04-21T19:39:58.203965 | 2021-05-07T16:35:37 | 2021-05-07T16:35:37 | 365,292,357 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 581 | py | import yaml
import logging
from kubectl_launcher.exceptions import KubectlLauncherYamlException
log = logging.getLogger(__name__)
class Config:
kubectl_servers = []
servers = []
deployments = []
services = []
persistentVolumes = []
def __init__(self,file_yaml):
try:
config... | [
"arte.vdovin@gmail.com"
] | arte.vdovin@gmail.com |
c8e00806ae74fe6db6ef1b04820024697e4e3627 | 766c392a3a196d15909505fefae2d44a7041b215 | /sanicApp.py | c935d9db151d0570392f46802fbdcc07f661144f | [] | no_license | bunny1985/qtConnect | b942702afce9bd1b7efc65b8f5d11754cf8b6000 | e092cea5c87d3d5acea6f89cf153bc0dc561dd21 | refs/heads/master | 2020-05-19T08:52:24.786923 | 2019-05-05T13:30:37 | 2019-05-05T13:30:37 | 184,933,405 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 71 | py | from sanic import Sanic
app = Sanic("QTConnect", strict_slashes=True)
| [
"michal.banas@gmail.com"
] | michal.banas@gmail.com |
71b4c3192c59446446642f2dc38ac6eac594e87f | 15f321878face2af9317363c5f6de1e5ddd9b749 | /solutions_python/Problem_138/1273.py | 7807dd8fe021579a8ca3aa6fa4f8c90eff1cc487 | [] | no_license | dr-dos-ok/Code_Jam_Webscraper | c06fd59870842664cd79c41eb460a09553e1c80a | 26a35bf114a3aa30fc4c677ef069d95f41665cc0 | refs/heads/master | 2020-04-06T08:17:40.938460 | 2018-10-14T10:12:47 | 2018-10-14T10:12:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 800 | py | t = int(raw_input())
for i in range(1,t+1):
n = int(raw_input())
line = raw_input().split()
naomi = []
for j in range(0,n):
naomi.append(float(line[j]))
line = raw_input().split()
ken = []
for j in range(0,n):
ken.append(float(line[j]))
naomi = sorted(naomi)
ken = sorted(ken)
... | [
"miliar1732@gmail.com"
] | miliar1732@gmail.com |
b5b837af34e57caa301ef9f8de09196ca005dc82 | d913ab73cc005749478ae374729a68952ba16a1a | /mrjob/mrjob_spark_word_count.py | 7acd36db76956ae3a19002fb4a1a350df16bd507 | [] | no_license | matrixor/BigData | f5fa238b5c5bd165d6df2b227684a3f4774fd07b | 1ba320424220891302b4643635b0e4938b691ba2 | refs/heads/master | 2021-09-03T20:07:57.349489 | 2018-01-11T16:21:52 | 2018-01-11T16:21:52 | 109,291,916 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 980 | py | ### You must define this file name as 'mrjob_spark_xxxxx'
### xxxxx is your job description, like 'word_count'
#########################################################
from mrjob.job import MRJob
class MRSparkJob(MRJob):
### update below 'job' function to define your job
def job(self,lines):
fr... | [
"alan.0002.t@gmail.com"
] | alan.0002.t@gmail.com |
71618da8689e4208efa693fb48db8b677d588d1c | 5ad97fca229f380bba82e6647b606ca93ba19f37 | /tests/docstring_tests.py | 59076ce548ac59be270952b895fa0c9f1523e983 | [
"MIT"
] | permissive | KeyserSosa/lighthouse | d53df9b643c2214cd42811c61f2c0b3bcb58f388 | 5d66718daa14d0e5a243e3f2930cda818a88d33d | refs/heads/master | 2021-01-23T01:08:54.881556 | 2015-06-05T22:23:22 | 2015-06-05T22:23:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,794 | py | import inspect
import re
import lighthouse.balancer
import lighthouse.check
import lighthouse.checks.http
import lighthouse.checks.redis
import lighthouse.cluster
import lighthouse.configs.handler
import lighthouse.configs.monitor
import lighthouse.configs.watcher
import lighthouse.configurable
import lighthouse.disco... | [
"william@hipmunk.com"
] | william@hipmunk.com |
b0adb28cc7f846a838514b4518eeb37eab5b89d6 | dded91a7c9a6f45c6b2753270e46f4fab8ffbaa3 | /EC_MenuApps/richtext_notepad.py | ed430474431476c52ce1138375a1b99ca4cbbbf1 | [] | no_license | francisco-ribeiro1/Curso-Python | e0ab05c210f9228c85c0d889b4a3429ce8e87f33 | edb7bfb4cf9bc6eb291e4caec894b0330ce4850f | refs/heads/master | 2022-12-17T17:30:04.196796 | 2020-09-18T23:35:35 | 2020-09-18T23:35:35 | 296,724,075 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,147 | py | # Notepad com Rich text
import sys
from PySide2.QtWidgets import (QApplication, QMainWindow, QAction,
QMessageBox, QTextEdit, QFileDialog,
QInputDialog, QFontDialog, QColorDialog)
from PySide2.QtGui import QIcon, QTextCursor, QColor
from PySide2.Q... | [
"noreply@github.com"
] | francisco-ribeiro1.noreply@github.com |
39abb1c58a1ae46d15c937d463dbc72c51ee8659 | b641319ea5164c1eb5db77c819abdd1f8136fce3 | /random_stream.py | 26e2a2c280f4736e7a6b65c58e3d223854009094 | [] | no_license | Anwesh43/theano-starter | 8d4b2a9e3023f10018f9005ef9a9e4583270fee0 | 87f2d987ce02a883889eac6543b82530d1b90989 | refs/heads/master | 2021-01-12T02:48:45.879958 | 2017-01-16T15:35:22 | 2017-01-16T15:35:22 | 78,109,827 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 693 | py | import theano.tensor as T
from theano import *
from theano.tensor.shared_randomstreams import RandomStreams
srng = RandomStreams(seed=1000)
r_uv = srng.uniform((2,2))
r_nd = srng.normal((2,2))
rng_val = r_uv.rng.get_value(borrow=True)
rng_val.seed(345)
r_uv.rng.set_value(rng_val,borrow=True)
r_uniform = function([],r_... | [
"anweshthecool0@gmail.com"
] | anweshthecool0@gmail.com |
702983a9b768406deede4bb9d92ee2a880f5bd28 | 1926bce5e0cbdd6ab1e76f801ac2adb40b39da4b | /Car_Showroom inventory management/purchaseparts.py | bf4e29aa9066b2978178aac23c706a82ad831533 | [] | no_license | AshvinjeetSingh/Car-showroom-inventory-system | b07eaa434b097a7a164b8edcc35bd33263679456 | 0d636b9c4c4346332e22fe58ccd83e9e8ef628b2 | refs/heads/master | 2020-06-28T16:02:08.341109 | 2019-08-29T11:14:09 | 2019-08-29T11:14:09 | 200,274,662 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,857 | py | from tkinter import *
from tkinter import messagebox, ttk
from tkinter.ttk import Combobox
import tkinter as tk
import pymysql
class Purchase:
def __init__(self):
self.root = tk.Toplevel()
self.root.title("Sales")
width = 900
height = 600
screen_width = self.root.winfo_sc... | [
"ashvinjeetsingh98@gmail.com"
] | ashvinjeetsingh98@gmail.com |
d7078816be6d36440d58f60f8b3cbd2db9ef4135 | 9640a6783b61e962b15ed14b163e1d91836a0d26 | /webcrawl/naver_autologin.py | 27a332501bc1c540b6c74304fb7d1b03b55ed4c9 | [] | no_license | namgiho96/tf_Python_study | 5c644b79efd2012ab90569f1748d2003298f98cd | 639634373e6350951a484b782cbfb26aa7d2e740 | refs/heads/master | 2020-05-07T09:10:38.774408 | 2019-04-09T13:00:51 | 2019-04-09T13:00:51 | 180,365,932 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 567 | py | from selenium import webdriver # 웹불러오는 라이브러리
ctx = '../crawler/chromedriver'
driver = webdriver.Chrome(ctx)
driver.implicitly_wait(3)
driver.get('https://nid.naver.com/nidlogin.login?mode=form&url=https%3A%2F%2Fwww.naver.com')
driver.find_element_by_name('id').send_keys('giho123') # 아이디를 정해준다
driver.find_element_by_na... | [
"namgiho96@gmail.com"
] | namgiho96@gmail.com |
1ea4f37d648dbba8cdb93a2e9036c0c97129ecf0 | 8c06beebdb5ee28f7292574fefd540f8c43a7acf | /Arctype_Dashboard/asgi.py | f843ce0156227c94479067214b7caa5e4e018782 | [] | no_license | progettazionemauro/ARCTYPE_DJANGO_DASHBOARD | 0c3baf93c6a3f8dd28d9459a21a273efbed1f4e3 | 60d1dab19c32b7a80d70de85e846fd6760be9a26 | refs/heads/master | 2023-04-12T01:37:57.317231 | 2021-05-03T01:48:41 | 2021-05-03T01:48:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 411 | py | """
ASGI config for Arctype_Dashboard 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('DJ... | [
"chukslord1@gmail.com"
] | chukslord1@gmail.com |
7bfebb60ad510573083f308d96db0442c9bcef2b | 0464932d544ee946a13d991d2ae0b284b31f5edd | /hourglassSum.py | da959cca4c5b6d4bbe5cf48f412abd10d7401144 | [] | no_license | arjun1237/2D-Array-DS | f9ace4ca845c6247fcff3c8d589745d8580fbb4d | 61c74cdef9cbe8be493aa3249996ebe87e5267b1 | refs/heads/master | 2020-07-12T14:20:07.051525 | 2019-08-28T03:27:05 | 2019-08-28T03:27:05 | 204,839,189 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 451 | py | def hourglassSum(arr):
array_len = len(arr)
highest = 0
for i in range(1, array_len-1):
for j in range(1, array_len-1):
total = arr[i][j]
for k in range(0, 3):
total += arr[i-1][j-1+k] + arr[i+1][j-1+k]
if i == 1 and j == 1:
... | [
"noreply@github.com"
] | arjun1237.noreply@github.com |
bb352a077de0a96d708f7bd908b1d4f2e9c8b720 | aa76391d5789b5082702d3f76d2b6e13488d30be | /programmers/Lev1/print_triangle.py | aeb50f3fd8f6008928c6bee577e7267406cb4451 | [] | no_license | B2SIC/python_playground | 118957fe4ca3dc9395bc78b56825b9a014ef95cb | 14cbc32affbeec57abbd8e8c4ff510aaa986874e | refs/heads/master | 2023-02-28T21:27:34.148351 | 2021-02-12T10:20:49 | 2021-02-12T10:20:49 | 104,154,645 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 132 | py | def printTriangle(num):
s = ''
for i in range(1, num + 1):
s += "*" * i + "\n"
return s
print(printTriangle(5)) | [
"the_basic_@kookmin.ac.kr"
] | the_basic_@kookmin.ac.kr |
d0fdb912fce20ef803705dbad7736eeb3cee1a79 | 81abfb6bfeb12b01e0df631cb5dbfe467f8b4382 | /classes_objects.py | 3ee8a3a7a0b51fbf70757da05c335894d157e417 | [] | no_license | saikaranpraveen/python-basics | 704163c40df6128585ff0b9cad884014445dbc76 | e70148b4098b9d3b0ee86b91b46d6cd9581cf040 | refs/heads/main | 2023-06-27T06:42:04.356688 | 2021-04-23T06:10:53 | 2021-04-23T06:10:53 | 391,301,650 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 381 | py | class Car:
def __init__(self, brand, model):
self.brand = brand
self.model = model
def handling(self, handling):
print (f"{self.brand} {self.model} has {handling} handling.")
def __str__(self) -> str:
return f"Brand = {self.brand}\nModel = {self.model}"
honda_city = Car("H... | [
"karansiamintern@gmail.com"
] | karansiamintern@gmail.com |
baa7678b52fae8e25d141a1b921f8006e86a6d26 | 66adad393a638d3a4cc47ed3d8b45b208f155ebe | /bookmarks1/account/views.py | bdac6a72fc611c4ef5ecf8d9c87d1849eaffa17e | [] | no_license | Dyavathrocky/image_sharing | a5e265c65fde29c1f665c522230bd73dfbf16c23 | 0939240f9a96dd8c80de813939d79455e95782c7 | refs/heads/main | 2023-01-21T15:23:10.141362 | 2020-11-29T13:53:26 | 2020-11-29T13:53:26 | 316,220,540 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,172 | py | from django.http import HttpResponse
from django.shortcuts import render
from django.contrib.auth import authenticate, login
from django.contrib.auth.decorators import login_required
from .forms import LoginForm, UserRegistrationForm, \
UserEditForm, ProfileEditForm
from .models import Profile
from ... | [
"davathrak@gmail.com"
] | davathrak@gmail.com |
b6780c329a1ffec2fc775d000bede61cd63fd982 | 0814eb1801f8a6f7b0fd8e3b07b2b8b4b23b2041 | /dataloader/DataLoader.py | 0ec4a93357adcf6c937dc0eacfa8fd811f6208a1 | [] | no_license | xianfengju/SiamRPN-TF | 173d59cf7205bc2c8a1c6b3d921ddc7622fe3db9 | cf0859ee02328a2f32fb7a3ab5b38eaa55a6e17d | refs/heads/master | 2022-02-13T03:47:55.532351 | 2019-06-26T10:07:43 | 2019-06-26T10:07:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,595 | py | import tensorflow as tf
import numpy as np
import cv2
import os,sys
CURRENT_DIR = os.path.dirname(__file__)
sys.path.append(os.path.join(CURRENT_DIR, '..'))
from dataloader.sampler import Sampler,ShuffleSample
from dataloader.data_augmentation import RandomGray,RandomStretch,CenterCrop,RandomCrop,RandomColorAug,Rando... | [
"xiongjiangfeng@gmail.com"
] | xiongjiangfeng@gmail.com |
e7e0deac411c991076dc18e374867a07a253d989 | d89a482aaf3001bbc4515f39af9ba474e1ae6062 | /sip/sip_history.py | 7bdbef694f14c90a11c7df182424967f95a137dc | [] | no_license | hongtao510/u_tool | 2925e3694aba81714cf83018c3f8520a7b503228 | 98c962cfb1f53c4971fb2b9ae22c882c0fae6497 | refs/heads/master | 2021-01-10T20:40:24.793531 | 2014-03-14T22:57:37 | 2014-03-14T22:57:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,527 | py | # -*- coding: utf-8 -*-
"""
Created on Tue Jan 03 13:30:41 2012
@author: jharston
"""
import webapp2 as webapp
from google.appengine.ext.webapp.util import run_wsgi_app
from google.appengine.ext.webapp import template
import os
from uber import uber_lib
import history_tables
import rest_funcs
class SIPHistoryPage(we... | [
"hongtao510@gmail.com"
] | hongtao510@gmail.com |
a3f0f41e1e74dfb4968b10ff2fecd3d29bb11d66 | a20b8bea72c6f0def075001152455a6bfd68ac85 | /game/views.py | a6e0b824cbbb03ede6f636ac3864c4d2a856346a | [] | no_license | mr-korean/portfolio-django | cb0ea4cedd816ac75a657dbfca949235d8d30aa7 | 8246e137283344faf2b6c0555e129a54f064f5ee | refs/heads/master | 2020-03-20T15:44:29.021007 | 2018-09-11T16:28:46 | 2018-09-11T16:28:46 | 117,920,585 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,937 | py | # -*- coding: UTF-8 -*-
from django.views.generic.base import TemplateView
from django.contrib.auth.models import User
from django.shortcuts import render, get_object_or_404
from django.utils import timezone
from .models import Record, HighRecord
from django.http import JsonResponse, HttpResponse
from django.contrib.a... | [
"zzang2314274@hanmail.net"
] | zzang2314274@hanmail.net |
215571d3b4b7d4e305c325ec81353e980d4c283e | 1ad78a9e70ed4295d11c7df6d33737c8a0af7b18 | /adjust_image_color.py | 12c2a2ecd7e177199f2c88ec9a34463b65d283c3 | [] | no_license | linchaolong-learn/TensorflowLearn | 7200cd2ac1640ec5f12fcfd411c1f424e831ea46 | 0838f3191bdc564a947c8e898b3119767ecf05d3 | refs/heads/master | 2020-03-15T07:18:31.928342 | 2018-06-06T08:18:03 | 2018-06-06T08:18:03 | 132,026,220 | 2 | 0 | null | 2018-05-03T17:07:19 | 2018-05-03T17:07:18 | null | UTF-8 | Python | false | false | 1,296 | py | # 图像色彩调整
import matplotlib.pyplot as plt
import tensorflow as tf
# 读取图像的原始数据
image_raw_data = tf.gfile.FastGFile("datasets/cat.jpg", 'rb').read()
# 解码图片
img_data = tf.image.decode_jpeg(image_raw_data)
with tf.Session() as sess:
# 将图像的亮度-0.5
# adjusted = tf.image.adjust_brightness(img_data, -0.5)
# 在[-0.5... | [
"linchaolong@healthmall.cn"
] | linchaolong@healthmall.cn |
344e07bbfa7a9945dc213604ca7facf2917036fa | c526a482a0da0ef09d05975c97faae062d1911b6 | /Week 5/day 3/JSON_loads.py | 443924bd515c90fe8d17f23333c92280f7536c46 | [] | no_license | Wdecibel/MyPythonProject1 | 2958171e80e9aa74af2f1446a624af3183b6e741 | 4d443091d3df5b3774e490950c5b5e19b18dd149 | refs/heads/master | 2020-07-02T03:59:19.090917 | 2019-08-09T06:36:40 | 2019-08-09T06:36:40 | 201,409,347 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 168 | py | # __Author__: Han
# __Date__: 2019/1/17
import json
with open('JSON_text', 'r') as f:
data = f.read()
data = json.loads(data)
print(data['name'])
| [
"hanw@cefcfco.com"
] | hanw@cefcfco.com |
d57dc6bd6e6ed40663cea90c3cb805e43497b4f9 | e0980f704a573894350e285f66f4cf390837238e | /.history/news/models_20201124144813.py | df865398f4c40cdf05ca57629f9dae3cd204713b | [] | no_license | rucpata/WagtailWebsite | 28008474ec779d12ef43bceb61827168274a8b61 | 5aa44f51592f49c9a708fc5515ad877c6a29dfd9 | refs/heads/main | 2023-02-09T15:30:02.133415 | 2021-01-05T14:55:45 | 2021-01-05T14:55:45 | 303,961,094 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,391 | py | from django.db import models
from wagtail.contrib.forms.models import AbstractEmailForm
# Create your models here.
class FormField(AbstractEmailForm):
page = ParentalKey(
'NewsPage',
on_delete=models.CASCADE,
related_name
)
class NewsPage(AbstractEmailForm):
tempalte ='news/ne... | [
"rucinska.patrycja@gmail.com"
] | rucinska.patrycja@gmail.com |
60e68556375c7be92b4a838b420b1e603730aca7 | 6f6997efe1a15d57688c12ff0197790fb2eac6bc | /histogram/wigets/waferdata_histogram.py | aa532f8c85f67b1d487d0d292c97a7194ae277d9 | [] | no_license | montanaviking/waferprobe | 29fa5f0eb07e60820162916e48059f63374902c5 | fb2786b376153f9b6e9495b6faf3ee5960f90a06 | refs/heads/master | 2022-11-06T10:57:01.539733 | 2020-06-19T23:47:59 | 2020-06-19T23:47:59 | 273,601,408 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 65,386 | py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'waferdata_histogram.ui'
#
# Created by: PyQt5 UI code generator 5.11.2
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_Histogram(object):
def setupUi(self, Histogram):
... | [
"microcraftx@gmail.com"
] | microcraftx@gmail.com |
e9a1330a1595a139f084229242758028a2cfc425 | cc1f28b97af0eba00706e70a246d3e737216356f | /generateGroups.py | fab1671ba31e87bf4ac70272865259b5e90368e5 | [] | no_license | Cherishlrx/DeepGroup | 26288aa23b43e6904c45e30c9c7004228a7ff4bc | f4bfe6cc97efdb13ce2065f13695427dea0d8a18 | refs/heads/main | 2023-02-19T07:31:23.530470 | 2021-01-23T17:28:19 | 2021-01-23T17:28:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,311 | py | import random
import pandas as pd
import itertools
from config import Config
def get_train_test_datasets(lambda_amount, num_groups, overlap_val, max_len_groups, num_items, fileName, version, train_portion=100):
config = Config()
file_name = fileName + '/negative_example_'+ config.decision_rule +'/ne_' + str(nu... | [
"s.sajadi@ghoghnos.net"
] | s.sajadi@ghoghnos.net |
a21cbc48f84c785c531000e69be0bc25254d2951 | 8dfce5fab6ab68bd08807d5893c3dd60ddc5bded | /scraper/test_AmazonProduct.py | 6296ef2ab9dea7176cb8f085e16f107615c5cfb2 | [] | no_license | khiemjannguyen/Sem4_DB_Projekt | 0f8865076f952311882eb7198defcca936d4c50b | 60c157b38c423edf684c04372510a83ee9e7bd00 | refs/heads/main | 2023-04-19T22:38:31.110635 | 2021-05-15T21:47:19 | 2021-05-15T21:47:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,754 | py | import unittest
from AmazonProduct import *
class Test_AmazonProduct(unittest.TestCase):
url1 = "https://www.amazon.de/Samsung-MU-PA1T0B-EU-Portable-Kabel/dp/B074M774TW/?_encoding=UTF8&pd_rd_w=l7mCN&pf_rd_p=4f36a2ac-16fe-4a2a-a875-9a9ac12f9041&pf_rd_r=GXM3CM87QAX521QKM1WH&pd_rd_r=ce39a955-9f89-4159-88b2-278a4df7de... | [
"khiemjan.nguyen@gmail.com"
] | khiemjan.nguyen@gmail.com |
24b75e19d3d0afdeca0a294cc8798e0b8e02fdde | 0fa977f3ccfd3293d7707a1ec36dcc2dcbd82915 | /2017/booleans/underwater.py | dca547a6d61c876dd7b102ec563bd530643f7b59 | [] | no_license | xzou288/MInecraft_Python_4Xiang | c121bd22e66d8720198a4fa68b9445b52bf2d494 | 7ba8d7e5d1a0f24e49ee08bdc6c839548f4f3bf8 | refs/heads/master | 2021-09-10T15:32:51.524841 | 2018-03-28T15:47:14 | 2018-03-28T15:47:14 | 110,139,759 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 230 | py | from mcpi.minecraft import Minecraft
mc = Minecraft.create()
pos = mc.player.getPos()
x = pos.x
y = pos.y
z = pos.z
blockType = mc.getBlock(x, y, z)
mc.postToChat(blockType == 0)
pos = mc.player.underwater()
underwater = true
| [
"noreply@github.com"
] | xzou288.noreply@github.com |
67245adfabd81ea366d100de52754decec5d6173 | eeeceb85a215522ef412fddc44cc471c894f28af | /src/python/Problem113.py | d87253a0df06867a8444367d729a88f520e69e6c | [
"MIT"
] | permissive | mchrzanowski/ProjectEuler | 3874ad141ca0bf633039899807a6afc1cca67134 | 06a24cadbd2c38fb42c3935779fc7ffb6de4e1b5 | refs/heads/master | 2021-01-25T05:34:32.548331 | 2015-02-08T20:31:10 | 2015-02-08T20:31:10 | 3,176,325 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,016 | py | '''
Created on Apr 7, 2012
@author: mchrzanowski
'''
from operator import ge, le
from time import time
def calculateBouncyNumbers(limit):
'''
there are two sets of bouncy numbers:
1). numbers that are stable or decreasing
2). numbers that are stable or increasing
there exists an non... | [
"mike.chrzanowski0@gmail.com"
] | mike.chrzanowski0@gmail.com |
55d65050fc5aacda7acd63dcd44060f20f7cf89f | 6a2db8e177cacd14a33cb49b8ea78b5fd7c3ebe1 | /day01/day01_2.py | 16600064035200615bbea703a73ed44c734004b8 | [] | no_license | somyungsub/kosta-pythonbasic | fa42c55852774b9791120829087fcea343efc502 | 0abfde24ff7a3018ec0ac057eed2a27746b77148 | refs/heads/master | 2020-03-27T19:30:45.803299 | 2018-09-01T11:49:28 | 2018-09-01T11:49:28 | 146,993,932 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 847 | py | # 숫자
from builtins import divmod, complex
# 정수 할당
n1 = 4
n2 = 3
n3 = 2
# 실수 할당
n1 = 4.0
n2 = 3.0
n3 = 2.0
# 복소수 할당 -> 정수 나눗셈, 나머지 연산자는 안됨
# n1 = 4j
# n2 = 3j
# n3 = 2j
print(n1 + n3)
print(n1 - n3)
print(n1 / n3)
print(n1 / n2) # 기본적으로 실수형으로 변환 후 실행되어 실수형 반환
print(n1 // n2) # //는 정수형으로 됨
print(n1 * n3)
print(... | [
"gkdldy5@naver.com"
] | gkdldy5@naver.com |
0a2a2c8497f4ec98148d7fb8ba76e6e61511350b | 33fd027b90dd8c4efd600f5bbcaf474edcc953a7 | /pyspark_windowfunctions.py | 6c96f1218c633ebc61e915eb25e33b9a7bed2965 | [] | no_license | andrevictorm/PYSPARK_ESTUDO | 50ce523ee0ce08533dc7a8dd0c2f9b4b0d0ca2cc | fedca431f5eaac6d57fcfaa42e39a819ac295072 | refs/heads/main | 2023-09-05T15:30:59.235946 | 2021-11-16T14:32:05 | 2021-11-16T14:32:05 | 428,668,907 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,412 | py | # Databricks notebook source
As Windows Functions retornam um único valor para cada grupo de linhas. O PySpark oferece suporte a 3 tipos de Windows Functions:
Ranking functions
Analytic functions
aggregate functions
Documentação: https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.sql.Window.html?hig... | [
"noreply@github.com"
] | andrevictorm.noreply@github.com |
0bc20c0d41b836f3d9feff0c9ebc05cc4c02a45a | b9054f8fb2da88a4788e04f06e52e1745ef5683e | /displayer/custom_entry.py | 9c11f2cf36b3346b574febf1087a52f9fc5452d8 | [] | no_license | thinkingabouther/functionDisplayer | 9f9f012af54daa02d0062325d3cb9ab8aa807d1f | 1517847498bb21e0ce05a28798a1e74d5210a4dc | refs/heads/master | 2021-09-12T02:12:17.915235 | 2018-03-26T17:20:24 | 2018-03-26T17:20:24 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 736 | py | from tkinter import Entry
class EntryWithBackgroundText(Entry):
def __init__(self, *args, **kwargs):
self.background_text = kwargs.pop("background_text", "")
super(EntryWithBackgroundText, self).__init__(*args, **kwargs)
self.insert(0, self.background_text)
self.bind('<FocusOut>', ... | [
"widauka@ya.ru"
] | widauka@ya.ru |
a8f2cafb277643c76e1a634c5fcab184d07b9eb5 | 04b1803adb6653ecb7cb827c4f4aa616afacf629 | /third_party/blink/web_tests/external/wpt/tools/third_party/pytest/src/_pytest/_code/__init__.py | 815c13b42c25bd314988dbaa7ff9f4e3d1d2e5c2 | [
"LGPL-2.0-or-later",
"LicenseRef-scancode-warranty-disclaimer",
"LGPL-2.1-only",
"GPL-1.0-or-later",
"GPL-2.0-only",
"LGPL-2.0-only",
"BSD-2-Clause",
"LicenseRef-scancode-other-copyleft",
"BSD-3-Clause",
"MIT",
"Apache-2.0"
] | permissive | Samsung/Castanets | 240d9338e097b75b3f669604315b06f7cf129d64 | 4896f732fc747dfdcfcbac3d442f2d2d42df264a | refs/heads/castanets_76_dev | 2023-08-31T09:01:04.744346 | 2021-07-30T04:56:25 | 2021-08-11T05:45:21 | 125,484,161 | 58 | 49 | BSD-3-Clause | 2022-10-16T19:31:26 | 2018-03-16T08:07:37 | null | UTF-8 | Python | false | false | 410 | py | """ python inspection/code generation API """
from __future__ import absolute_import, division, print_function
from .code import Code # noqa
from .code import ExceptionInfo # noqa
from .code import Frame # noqa
from .code import Traceback # noqa
from .code import getrawcode # noqa
from .source import Source # noq... | [
"sunny.nam@samsung.com"
] | sunny.nam@samsung.com |
db6a5f9a9e48fbdb723307801d93ecf4a47d4f32 | 2b23ac5fac45ea526324b84bc1c873794a92ce3f | /example.py | 741e4ecd2ec915d16f015f54bb3416549d03e785 | [] | no_license | yaleman/technicolorspeedstats | 9bd9b1dded37ba943c09551edf42d8a7871722ee | 5a1514eacd7d93ab86f93489053ec9a0cf786dd3 | refs/heads/master | 2022-05-19T10:17:52.020727 | 2022-05-09T01:15:36 | 2022-05-09T01:15:36 | 245,538,477 | 1 | 0 | null | 2022-05-09T01:15:37 | 2020-03-06T23:59:40 | Python | UTF-8 | Python | false | false | 86 | py | #!/usr/bin/env python3
from technicolorspeedstats import get_data
print(get_data())
| [
"yaleman@ricetek.net"
] | yaleman@ricetek.net |
4dde79d5e3be0ffc2d8fdc9b8d3237fd2be57c5b | 5a52ccea88f90dd4f1acc2819997fce0dd5ffb7d | /alipay/aop/api/domain/Dowsure.py | c4c979d73ab936957a9778dbb5945bfedab00234 | [
"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 | 961 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class Dowsure(object):
def __init__(self):
self._application_code = None
@property
def application_code(self):
return self._application_code
@application_code.setter
d... | [
"jishupei.jsp@alibaba-inc.com"
] | jishupei.jsp@alibaba-inc.com |
bb34d51fcdd2bb89209f9280e0d806d946c14977 | 4dbf7b5be86e7cc27cc3606106ce1daa792ade4b | /mmdet/models/detectors/base.py | b74cb657faa80d77757bf451dfe113c9a04efb42 | [
"MIT"
] | permissive | ashwinvaswani/lesion_detection | 61a011a90e9e42ab0cc56eba066540c879946f1d | 26246e3954209075c56649dfb2ef565290e6dcb3 | refs/heads/master | 2023-04-03T03:56:21.856885 | 2021-04-03T12:14:18 | 2021-04-03T12:14:18 | 273,017,913 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,706 | py | import logging
from abc import ABCMeta, abstractmethod
import mmcv
import numpy as np
import pycocotools.mask as maskUtils
import torch.nn as nn
import inspect
from mmdet.core import auto_fp16, get_classes, tensor2imgs
class BaseDetector(nn.Module):
"""Base class for detectors"""
__metaclass__ = ABCMeta
... | [
"ashwin.vaswani99@gmail.com"
] | ashwin.vaswani99@gmail.com |
e163ad73aa563dda6ef681844f282f3877df4508 | cf0f368408240a146b0d91ad7fe1c2f299694f4b | /main/migrations/0008_auto_20190609_2032.py | 919f27c81a72f260f0494a748082b8ecf9479268 | [] | no_license | joseangelmm/Project-AII | aaab67cef3575d0d13b59604bb63919950e933a9 | 67f8f082b48142de16cb65ba1d9d98de51b41771 | refs/heads/master | 2020-06-02T05:43:10.897784 | 2019-06-13T21:53:55 | 2019-06-13T21:53:55 | 191,058,099 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 399 | py | # Generated by Django 2.2 on 2019-06-09 18:32
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('main', '0007_auto_20190607_0027'),
]
operations = [
migrations.AlterField(
model_name='noticia',
name='fecha',
... | [
"36623144+joseangelmm@users.noreply.github.com"
] | 36623144+joseangelmm@users.noreply.github.com |
4905f1162de481d5c10d057cf7e2d91f01cd6fba | a3d32e0ff84958d194ced642441f5379c0032465 | /tests/functions/test_image_train_process.py | 3fe7e75cf95dfa56d3155c3a714ddfd2389acd77 | [] | no_license | TensorMSA/tensormsa_old | 406755511d05d4ec179c085337a05f73c0dde80a | ef058737f391de817c74398ef9a5d3a28f973c98 | refs/heads/master | 2021-06-18T11:58:29.349060 | 2017-04-20T10:17:43 | 2017-04-20T10:17:43 | 67,384,681 | 6 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,430 | py | import unittest, requests, os, json,random
from tfmsacore.utils.logger import tfmsa_logger
from django.core.files.uploadedfile import TemporaryUploadedFile
from tfmsacore.data import ImageManager
class TestImageTrainProcess(unittest.TestCase):
"""
./manage.py jenkins ./tests/functions --enable-coverage
./m... | [
"tmddno1@naver.com"
] | tmddno1@naver.com |
a079211c11689b83b59f3657cc19f4ecfdd5c9e7 | 43d38bf7ad12fd6030e705c1cb326e6a4d57595d | /kmsPidGenerator.py | 692a4210cdb384c6ea3f0d05674f79d2d1eb80c5 | [] | no_license | Cheain/kms_tool | fba8d1a9427e074eb6392471572c7d28fdeadbb9 | fa795d40667111fbc3ea23c1caa7d7d7f47397f9 | refs/heads/master | 2021-04-03T10:01:36.459501 | 2018-03-11T08:44:54 | 2018-03-11T08:44:54 | 124,347,704 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,582 | py | import datetime
import random
import time
import uuid
APP_ID_WINDOWS = uuid.UUID("55C92734-D682-4D71-983E-D6EC3F16059F")
APP_ID_OFFICE14 = uuid.UUID("59A52881-A989-479D-AF46-F275C6370663")
APP_ID_OFFICE15 = uuid.UUID("0FF1CE15-A989-479D-AF46-F275C6370663") # also valid for Office 16 (2016).
# KMS Host OS Type
hostOs... | [
"hch.hch@163.com"
] | hch.hch@163.com |
beafb58ab3ec08a99d6f55d9c254e7f0c0b3fe56 | e92ed45992bf8ef42e36596baa152f5412b45cc9 | /learners/perceptron.py | 0d1a1c2150a65c7b218ba98e4f6c2c579a737ca5 | [] | no_license | kjohnsen/cs478 | e4fda959aae8e87cffc82deee88f111f69f4fe19 | f01fab43833dbc50fff78b242113b4fbb46931d0 | refs/heads/master | 2020-04-15T14:41:05.262515 | 2019-03-20T05:57:15 | 2019-03-20T05:57:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 980 | py | import random
import numpy as np
class Perceptron:
def __init__(self, num_features, learning_rate):
# last weight is bias
self.weights = np.array([random.uniform(0.1, 0.5) for x in range(num_features)])
self.l_rate = learning_rate
# Returns 1 if it was correct, to keep track of accurac... | [
"johnsenkyle13@gmail.com"
] | johnsenkyle13@gmail.com |
7cfee5b9df13834712ed1c7dfcb5aaac39cd1210 | cd8f7ecd20c58ce1ae0fe3840f7c7ee961aa5819 | /Third Maximum Number.py | e33e7d88fe709f5f961c58fc1b2f6c3993b73f63 | [
"Apache-2.0"
] | permissive | sugia/leetcode | 9b0f2a3521b088f8f7e5633c2c6c17c76d33dcaf | 6facec2a54d1d9f133f420c9bce1d1043f57ebc6 | refs/heads/master | 2021-06-05T07:20:04.099488 | 2021-02-24T07:24:50 | 2021-02-24T07:24:50 | 29,124,136 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 855 | py | '''
Given a non-empty array of integers, return the third maximum number in this array. If it does not exist, return the maximum number. The time complexity must be in O(n).
Example 1:
Input: [3, 2, 1]
Output: 1
Explanation: The third maximum is 1.
Example 2:
Input: [1, 2]
Output: 2
Explanation: The third maxim... | [
"noreply@github.com"
] | sugia.noreply@github.com |
cedfaacfc1ea964fcf106617d42d8c8281ed0dad | 69a9564d94bc9bcd8983703cdaba8c8c388b5c03 | /my-project/back_up_lcd_3.py | ec7b9c68f56dad1df2e92d9814eff663140a2e11 | [] | no_license | arunksoman/PCPL-electro | c67dd4a75bccea5063ae76ea2935a48a9e52a68b | 52afbb63ea4a8843b774c3b0d7dc636b997ba724 | refs/heads/master | 2020-05-06T15:41:57.483108 | 2020-02-11T16:04:25 | 2020-02-11T16:04:25 | 180,203,771 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 8,968 | py | import RPi.GPIO as GPIO
import random
import time
import sys
import requests
import json
import serial
product = json.loads(requests.get("http://192.168.43.94:8084/SmartTrolley/Files/ProductData.txt").text)
print(product)
GPIO.setmode(GPIO.BOARD)
GPIO.setwarnings(False)
ser = serial.Serial("/dev/ttyACM0", baudrate=9... | [
"noreply@github.com"
] | arunksoman.noreply@github.com |
7ecc66635c799a752527ae9aea098b284abae35c | 2f24d7b5c852eb0a8f70b898e101487b1cb3c407 | /src/models/request.py | 1efa149b4e80aa76c8da9ad67e28c619d366a886 | [] | no_license | Project78/Project78 | afdf60dc6f517207070b02488c19f8d392c11784 | 9d8feb4181e9b8b97c05bb49ba3156a1964fa517 | refs/heads/master | 2020-12-24T17:35:44.022129 | 2012-01-31T09:16:56 | 2012-01-31T09:16:56 | 2,641,947 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 618 | py | '''
Created on Nov 6, 2011
@author: averaart
'''
from google.appengine.ext import db
from event import Event
from guardian import Guardian
from student import Student
from combination import Combination
class Request(db.Model):
'''
A Request represents one subject about which a Guardian wants to talk
'''... | [
"averaart@hotmail.com"
] | averaart@hotmail.com |
ff3255e6e3d9e37b3559b22797e3b5adaa849817 | 5167c21d194d3a03d59d58368f5c8481370af356 | /Semana 09/03.py | 1fb45f83b87281362864de69b3330d4c0d0d6d4a | [] | no_license | GuilhermeSSx/NappAcademy1 | 15ebc206d12ec52b25df2705ff3f8fe08b415605 | cd3a7641d3b8468a876d31df33044ea946b78e36 | refs/heads/master | 2023-05-28T05:52:17.048297 | 2021-06-13T18:51:02 | 2021-06-13T18:51:02 | 372,360,364 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 131 | py | import json
def criar_json(**kwargs):
return json.dumps(kwargs)
assert criar_json(test="porvilow") == '{"test": "porvilow"}'
| [
"guilhermedosantos45@gmail.com"
] | guilhermedosantos45@gmail.com |
3387ea205b396e3bb8b9c493c9f7e9b47b825ea5 | 82e7ff55cc4d7fa9d4423e77eb7625cd89a65b78 | /src/bench/bench_muxers.py | 594da8837410126482bcf45fec660db9068be6be | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | JohanSmet/lsim | d3c9cc63e01f5caa2bf2de50ff810999998c3d0a | 37594029278539f012b970d1516a4e27f82c0e24 | refs/heads/master | 2023-04-27T03:50:28.394867 | 2023-04-24T20:22:16 | 2023-04-24T20:22:16 | 208,345,318 | 11 | 5 | BSD-3-Clause | 2023-04-24T20:34:07 | 2019-09-13T20:56:13 | C++ | UTF-8 | Python | false | false | 31,484 | py | #!/usr/bin/env python3
import lsimpy
from bench_utils import *
lsim = lsimpy.LSimContext()
HIGH = lsimpy.ValueTrue
LOW = lsimpy.ValueFalse
def test_mux2to1s():
truth_table = [
[{'I0': LOW, 'I1': LOW, 'Sel': LOW, '/Strobe': LOW}, {'Y': LOW}],
[{'I0': HIGH, 'I1': LOW, 'Sel': LOW, '/Strobe': ... | [
"johan.smet@justcode.be"
] | johan.smet@justcode.be |
bcf48bbac8518b773ccfdc6279bdd00a78314561 | 7a7c0cd1b38a306e7d51a67f6442fc0b48ae83a0 | /Exam/28.py | 991a36c618d133a6c35e5fa823d398b37a0cc2b7 | [] | no_license | 09-03/Infa | f06fd007ded30101b289730ef0ea12154e3f7317 | a7896461435650a6d3865047ed09ec9dadd4b493 | refs/heads/master | 2023-06-10T16:48:06.440654 | 2021-06-29T00:43:27 | 2021-06-29T00:43:27 | 297,751,033 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 538 | py | """
Написать программу, вычисляющую наибольший общий делитель двух чисел,
введённых с клавиатуры.
"""
def NOD(a,b):
a_start = a
b_start = b
while a != 0 and b != 0:
if a > b:
a = a % b
else:
b = b % a
return print(f"НОД {a_start} и {b_start}: {a+b}")... | [
"noreply@github.com"
] | 09-03.noreply@github.com |
0b420050e1479b0904e29b59e1c48a5160989fd1 | f392a5e4193d44c41e234696d093140cdf301497 | /tests/example2.py | 8b1a937795148bdddefeb027df7948a1d1727c74 | [
"Apache-2.0"
] | permissive | GateNLP/gate-lf-python-data | fb151132c94e25f59947d6400692f23914dfa89e | 89880a82458f09702c1d6828ae341997e0b45f73 | refs/heads/master | 2021-03-27T08:55:26.304655 | 2019-05-31T11:44:29 | 2019-05-31T11:44:29 | 113,597,027 | 4 | 1 | Apache-2.0 | 2019-05-30T08:50:59 | 2017-12-08T16:52:39 | Python | UTF-8 | Python | false | false | 362 | py | from __future__ import print_function
from gatelfdata import Dataset
import sys
if len(sys.argv) != 2:
raise Exception("Need one parameter: meta file")
file = sys.argv[1]
ds = Dataset(file)
valset = ds.convert_to_file()
for b in ds.batches_converted(batch_size=20, as_numpy=False, pad_left=True):
print("Batch: ... | [
"johann.petrak@gmail.com"
] | johann.petrak@gmail.com |
7d7924468a06f470667187de5548dd1e1047dfaa | a93cfeed4c2a2833f1896bf5f39aa31955f21efe | /Data Structures/Graphs/BFS_simple.py | 5ae140432c3c0db4bf5c088416c25bf7cebf8063 | [] | no_license | akshat343/Python-Programming | ae83d05408fb67d51d388df22492dfe743596b2a | f5a1540770388e49d65536352ce1816c406d5229 | refs/heads/master | 2023-08-05T19:58:40.293770 | 2021-10-07T07:25:46 | 2021-10-07T07:25:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 897 | py | """
Author : Robbin Singh
Simple Implementaion of BFS (Breadth First Search)using queue
"""
#Entre Adjancey Matrix of the graph
print("Enter Adjancey matrix")
R = int(input("Enter the number of rows:"))
C = int(input("Enter the number of columns:"))
matrix = []
print("Enter the entries row wise:")
for i in range(R):
... | [
"robin25tech@gmail.com"
] | robin25tech@gmail.com |
d4d27d560f9cb70b7b0cdfe713f2b5481ce676e5 | facb8509e51a388030550574ab414d324374c8c8 | /iwlearn/models/based_on_keras.py | fcd6cf62d08b8356a6fb89099dd7c0a5d5ccbe06 | [
"Apache-2.0"
] | permissive | mfridental/iwlearn | a257092053d8a6c0f514713f83f0fa15c9d11c2e | a3253f9f59761663f59768eb26c9dc047504cc4e | refs/heads/main | 2022-07-31T05:58:43.217852 | 2022-07-03T21:31:28 | 2022-07-03T21:31:28 | 214,254,342 | 3 | 0 | Apache-2.0 | 2022-07-03T21:31:29 | 2019-10-10T18:16:52 | Python | UTF-8 | Python | false | false | 7,606 | py | # TODO: KERAS MODELS ARE TEMPORARY BROKEN DUE TO TENSORFLOW API CHANGE
# # -*- coding: utf-8 -*-
# import sys
# import logging
# import dill
# import ujson as json
# import os
# import datetime as dt
#
# import numpy as np
# import tensorflow.compat.v1.keras as k
# from keras.preprocessing.image import Iterator
# imp... | [
"maxim.fridental@paessler.com"
] | maxim.fridental@paessler.com |
4a5726c2ee0ab88d6178f75060afb050e28bb3d0 | 9b946ad3b66792aafdb3a41e7cd05289f747bd1a | /Festhub/studlogin/apps.py | 3525eea9deae50b93a58b1efcf41d31b84dde048 | [] | no_license | aiswaryathenkunnel/MCAProjec | fcadfea71dad0fcd4d297624d07ac2341c9a220d | c4e0b4c6e9de02baae82269c9aefb8c62e4ce3b2 | refs/heads/master | 2020-04-07T23:16:16.555560 | 2018-11-23T08:49:16 | 2018-11-23T08:49:16 | 158,805,298 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 93 | py | from django.apps import AppConfig
class StudloginConfig(AppConfig):
name = 'studlogin'
| [
"45259054+aiswaryathenkunnel@users.noreply.github.com"
] | 45259054+aiswaryathenkunnel@users.noreply.github.com |
b59946a4e00e1bcdc58afd777c83dd4e729b3c09 | 436f7239b7314251b91a55868473a96d7dccac00 | /layer_definition.py | 1f5bfc88b4109cb0aed3ccbd62aab0e8d766ed26 | [
"Apache-2.0"
] | permissive | anguoyang/RED-NN | 44164d15f89072d230a62556eb449af0a108ec04 | b4b746eb0c1c0920822ee37b02c30c87ae0fba3d | refs/heads/master | 2022-02-18T23:19:13.892083 | 2019-10-08T07:48:04 | 2019-10-08T07:48:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,117 | py | import tensorflow as tf
import numpy as np
class Rig2DConv(tf.keras.layers.Layer):
def __init__(self, filters, kernel_size, phi, un_rotate=True, padding='SAME', **kwargs):
# Non-trainable variables initialization
self.filters = filters
self.un_rotate = un_rotate
self.phi =... | [
"noreply@github.com"
] | anguoyang.noreply@github.com |
8b9843406d7206f8d8eb6ef33274a88f5669773e | b727870804e5c7a474c271e1cf0ebfe05619ddfb | /keras44_5_wine_conv1d.py | 38577cf7df599d8d5b61c45ee04523731daff3ff | [] | no_license | marattang/keras | 843227592f7b3cb08034bfdc2e6319200e62e990 | cc78d1d70bfbe99e78f19ae11053ebbb87f20864 | refs/heads/main | 2023-08-03T21:50:53.438394 | 2021-09-10T05:11:15 | 2021-09-10T05:11:15 | 383,742,096 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,365 | py | import numpy as np
from sklearn.datasets import load_wine
from sklearn.model_selection import train_test_split
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Conv2D, GlobalAveragePooling2D, Flatten, LSTM, Conv1D
from sklearn.pr... | [
"tlawlfp0322@gmail.com"
] | tlawlfp0322@gmail.com |
73efba33a53e27b03f156c4fa1fef480aa463f10 | 8de7a1bb8e4939f37d77f66e90376fd2727e1972 | /trade.py | ccd09807bfdbfcb1e1110d050984962a54880ab0 | [] | no_license | webclinic017/stonk-1 | 8228a5da5ab47f2f9f7a2511e7ffef79add15f47 | fbf162b1f2e9a414d6262a6046f0f897857fb127 | refs/heads/master | 2023-08-22T02:37:44.036641 | 2021-10-13T02:33:17 | 2021-10-13T02:33:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,546 | py | # interface between the code and the Interactive Brokers API
# imports analysis and data
import analysis
from data import mktPrice
# Interactive Brokers imports
from ibapi.client import EClient
from ibapi.wrapper import EWrapper
from ibapi.contract import Contract
from ibapi.order import *
# time and threading for o... | [
"danieldunc@hotmail.com"
] | danieldunc@hotmail.com |
37a72d6160014af204fb5ae6c5c9eca84b4d6906 | f19cc4e99b265ae41ad6e5c16f023c1e68d11126 | /Stess.py | 7a80a65c9ad9ab88157b1b83af91f42ab902ccf3 | [] | no_license | aezakmi007/CPU-STRESS-ALERT-SYSTEM-IOT | b9e3cdbed265f5a6b8c1839711ddf9fcd12453dd | bfb7f487e50c6aa6abd1a2a11c8f54b179f494ef | refs/heads/main | 2023-03-31T23:29:41.990723 | 2021-04-11T06:04:34 | 2021-04-11T06:04:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 680 | py | import psutil
from boltiot import Bolt
api_key = "a1d04b0c-01e4-4542-bafa-116090c8f0ae"
device_id = "BOLT293335"
cpu_Threshold = 0.4
clientId = Bolt(api_key, device_id)
interval = 5
def control_green_color(pin, value):
response = clientId.digitalWrite(pin, value)
def control_red_color(pin, value):
response = c... | [
"Abdullah9695"
] | Abdullah9695 |
f62ae8f7f1ee46d83a45239fa0760d60126d68ef | c9f64fdf0a51b2ec438c05f2a08796a056aac73b | /HW1_solution_example/integrate.py | bd368bcece228facd6870ec75371c28150b84b66 | [
"MIT"
] | permissive | MengbinZhu/pg2014 | dd5e3d766e8ffd6292a551e4559c9c36d065f177 | 3571b2be5df2a9f593f781375b4b8029ce0c0c9e | refs/heads/master | 2021-05-27T17:20:49.235056 | 2014-12-04T23:07:26 | 2014-12-04T23:07:26 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 673 | py | # Rob Hetland
# 2014-10-14
# Homework 1, problem 2, trapazoidal integration
# Released under MIT license
import numpy as np
def trapz(f, dx=1.0):
"""Trapazoidal integration of function f, with spacing dx"""
f = np.asarray(f)
return dx * 0.5 * np.sum(f[1:] + f[:-1])
if __name__ == '__main__':
#... | [
"hetland@tamu.edu"
] | hetland@tamu.edu |
ad81e48cc1fae84b6d8c962232aab56ba3d9292b | b8485ced30894816aa3f4e12574764acc4ff87df | /thecart/shop/migrations/0008_auto_20210321_1546.py | 771c468c5709e40c9011ec8db8737d9ec3e26cc6 | [] | no_license | gauravsalwatkar/E-commerce-website | 74bdfbba88373f9d8589d200ef3ce7a36c5c216d | 4de236a74ce465d7d4205c458a397123b5fc3e83 | refs/heads/master | 2023-04-03T16:29:23.444752 | 2021-04-05T05:12:07 | 2021-04-05T05:12:07 | 354,724,844 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 343 | py | # Generated by Django 3.1.1 on 2021-03-21 10:16
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('shop', '0007_auto_20210321_1543'),
]
operations = [
migrations.RenameModel(
old_name='Order',
new_name='Orders... | [
"noreply@github.com"
] | gauravsalwatkar.noreply@github.com |
c9744084c4db946f615b3b38f72857617c7d3169 | 109e3c93cd7de41fd5fbfad242bb39ab267dd290 | /examples/twitter_server.py | 1dfbe86ea28f3944fad6d8ae27766c38ed72f461 | [
"Apache-2.0"
] | permissive | scholer/pygephi_graphstreaming | 1bab016dc65c4f521be72d8038094bc39eb6f5f1 | eace8d34a43badb39922b7ee764bac453ecfadc7 | refs/heads/master | 2021-01-15T16:28:13.646093 | 2015-10-08T22:31:07 | 2015-10-08T22:31:07 | 43,645,754 | 0 | 0 | null | 2015-10-04T17:44:08 | 2015-10-04T17:44:07 | null | UTF-8 | Python | false | false | 9,047 | py | #!/usr/bin/python
# coding: utf-8
#
# Copyright (C) 2012 André Panisson
#
# 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... | [
"panisson@gmail.com"
] | panisson@gmail.com |
1fcabfdfd261d113f56cf3419f435286db66644a | ebec4fb7b2eb36b0214e7c018dd1a2f9a9f7b67d | /SPLN/testes/teste_2019/ex6_2.py | 8f64e6fb33ebc2a9359e11e36545baea12b4f200 | [] | no_license | MrBoas/PLC | cb09aaa2440a8711a6ba888a92cdcd2559b0b8cf | 3f77cf1ce96cf8c4bb21ee4ec05f1fc418e9b73e | refs/heads/master | 2022-02-02T10:45:16.322559 | 2019-08-05T15:51:51 | 2019-08-05T15:51:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 992 | py | from bs4 import BeautifulSoup as BS
import requests
import subprocess
def getHTML(distrito,concelho):
urlBase = "http://www.ipma.pt/pt/otempo/prev.localidade.hora/#"
composedURL = urlBase + distrito + '&' + concelho
response = requests.get(composedURL).content
soup = BS(response)
return soup
# x = getHTML(... | [
"raulvilasboas97@gmail.com"
] | raulvilasboas97@gmail.com |
0208a4a50bebc3bf813bc885b5acd3bc9bda9696 | 88c1f9ccb62e91d6b0574bcde1043921bdeb0126 | /client_cli/src/d1_cli/tests/test_cli.py | cf82f63f797c9ac5a31102d6f830c03b7f3c3656 | [
"Apache-2.0"
] | permissive | jevans97utk/d1_python | 83b8de8780287c655779844f367b9189413da074 | 3ac4d4f3ca052d3e8641a6a329cab526c8ddcb0d | refs/heads/master | 2020-05-21T01:16:50.677816 | 2019-04-22T16:09:44 | 2019-04-22T16:09:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 28,974 | py | #!/usr/bin/env python
# This work was created by participants in the DataONE project, and is
# jointly copyrighted by participating institutions in DataONE. For
# more information on DataONE, see our web site at http://dataone.org.
#
# Copyright 2009-2019 DataONE
#
# Licensed under the Apache License, Version 2.0 (t... | [
"git@dahlsys.com"
] | git@dahlsys.com |
16e79e32970b8fe13d66dc766354d45e07bc578d | 91df76643a7d942f0ae11fa89c2dfcbd3feadfa9 | /utils/dump_helpers.py | db66dbc830479a25545b07185b394d09ca21e9a3 | [
"MIT"
] | permissive | Sixzero/yolov3-tf2 | c6bb4a826872fec74b5c77d68b34962ee0876d7c | 404d937481f16804a80ce605ce1f8704d6775e56 | refs/heads/master | 2020-12-01T20:02:21.021216 | 2020-01-01T15:03:34 | 2020-01-01T15:03:40 | 230,750,981 | 0 | 0 | MIT | 2019-12-29T13:01:53 | 2019-12-29T13:01:52 | null | UTF-8 | Python | false | false | 47 | py | ../../diabtrend-treasures/utils/dump_helpers.py | [
"havliktomi@hotmail.com"
] | havliktomi@hotmail.com |
1693c4a0d618967a4157bd72cbf492d3b6a83247 | 330540d9e2dcb3b8cc70272f5fb5c2bebdb572b5 | /DnfDeals/utils.py | b6601effd4e5ecee0c4a6d694f97f490f9465f3e | [] | no_license | xiaguangting/DnfDeals | 2a8e1e881cfbdd692bb1f16dffdb640b070c2af5 | 3dfdb34de4ea6bc5f9fb1c0352e0e94aeb24cae4 | refs/heads/master | 2020-08-05T22:47:15.889580 | 2019-11-14T03:45:36 | 2019-11-14T03:45:36 | 212,740,629 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,703 | py | import logging
import smtplib
from email.mime.text import MIMEText
from logging.handlers import TimedRotatingFileHandler
import pymysql
from DnfDeals import settings
def send_email(subject, content):
message = MIMEText(content, 'html', 'utf-8')
message['From'] = "DnfDeals<%s>" % settings.EMAIL_ADDRESS
m... | [
"18627924383@163.com"
] | 18627924383@163.com |
efdbbbe6b16c275ebb302d934239ed9abb79e159 | 603f752f35b34802d15f397c9d11c56aad2ac5e4 | /getStudentScore.py | fc95bc09a24f687285cf4ee0d24a8aa4963922ec | [] | no_license | waitfun/university | a0b153e6121205ec772ee201f201c18c2aade8e2 | 71c1fad8a3193525e74389c8f5dc5fe9a9ab4e64 | refs/heads/master | 2020-04-06T17:01:24.980336 | 2018-11-15T03:53:07 | 2018-11-15T03:53:07 | 157,643,248 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,782 | py | import requests
from bs4 import BeautifulSoup
import csv,time,re,math
import sys
import io
sys.stdout = io.TextIOWrapper(sys.stdout.buffer,encoding='gb18030')
def getScore():
cookie = "JSESSIONID=AE9029BE20920E54399350EB7C13D7AF; Hm_lvt_c09b7f26e29f23a8e4c2c74fc98ca736=1526317044,1527310349,1527498285,1527844527"
... | [
"waitfun319@qq.com"
] | waitfun319@qq.com |
582e0a4f9404ffe497957148713488fb28333b04 | 49f23f530d0cda7aadbb27be9c5bdefaa794d27f | /server/common_models/user.py | a5b3f4d6f5e5d6819209dd9b15cdda3c1a15dacb | [
"MIT"
] | permissive | Soopro/totoro | 198f3a51ae94d7466136ee766be98cb559c991f1 | 6be1af50496340ded9879a6450c8208ac9f97e72 | refs/heads/master | 2020-05-14T09:22:21.942621 | 2019-08-03T20:55:23 | 2019-08-03T20:55:23 | 181,738,167 | 0 | 1 | MIT | 2019-10-29T13:43:24 | 2019-04-16T17:42:16 | Python | UTF-8 | Python | false | false | 2,223 | py | # coding=utf-8
from __future__ import absolute_import
from document import BaseDocument, ObjectId, INDEX_DESC
from utils.misc import now
class User(BaseDocument):
STATUS_BEGINNER, STATUS_VIP, STATUS_BANNED = (0, 1, 2)
MAX_QUERY = 120
structure = {
'login': unicode,
'password_hash': unic... | [
"redy.ru@gmail.com"
] | redy.ru@gmail.com |
63b86d3db2a788557594680b422fe05b9c77afcf | d01f9ff2d7ba3c7c99158678adeaf082f3f15dbc | /model/cpn/ade.cpn.R50_v1c.v38.v2/train.py | 294cb1add0f70efdd177b711e5ca1fc5df2170d0 | [
"MIT"
] | permissive | akinoriosamura/TorchSeg-mirror | d8e76d99e80d55c2555f4f8f7a7fc3f30ef5dec4 | 34033fe85fc24015bcef7a92aad39d2a25a001a5 | refs/heads/master | 2021-06-18T15:47:00.946788 | 2019-10-26T04:46:07 | 2019-10-26T04:46:07 | 217,657,156 | 0 | 0 | MIT | 2021-06-08T20:36:44 | 2019-10-26T04:46:39 | Python | UTF-8 | Python | false | false | 6,088 | py | from __future__ import division
import os.path as osp
import sys
import argparse
from tqdm import tqdm
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.distributed as dist
import torch.backends.cudnn as cudnn
from config import config
from dataloader import get_train_loader
from network... | [
"osamura.akinori@gmail.com"
] | osamura.akinori@gmail.com |
e64468f489f6456474b6cfadd135210659097b4d | 9a6ed03100c84c6863ea94c592740ed7836bebaa | /venv/bin/wheel | b7654b7eb42f70ab2cb36133dd9af2c5f2b68513 | [] | no_license | nemanjamaksim/cicd-buzz | b708ea171cbdd4fc9648fea2f018e9e41bdff447 | 31fe7a1fa12eaca22eec172e3dc3c8cba7fe56d2 | refs/heads/master | 2020-04-30T17:18:50.182192 | 2019-03-21T15:42:00 | 2019-03-21T15:42:00 | 176,961,656 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 244 | #!/home/nemanja/Documents/cicd-buzz/venv/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from wheel.cli import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"nemanja.maksimovic@bepecs.com"
] | nemanja.maksimovic@bepecs.com | |
ea182e68ead47f4393fd988adea64d157fd53d03 | fee6a2ef79fd27c4795fe5256c2a144fc0c1311b | /roman/rq/sim_connection.py | 9b2de331765bde37df18f4334dae86a01d655dc0 | [
"MIT",
"LicenseRef-scancode-generic-cla"
] | permissive | microsoft/roman | a290b470d3e2cc28f44dd8470f7ef295942fd929 | 51405e6a404d670ae571b7ddff4f9468f9381b8a | refs/heads/main | 2023-06-30T01:59:16.074496 | 2023-02-07T20:17:12 | 2023-02-07T20:17:12 | 246,629,589 | 20 | 15 | MIT | 2023-02-03T20:51:15 | 2020-03-11T16:56:42 | Python | UTF-8 | Python | false | false | 2,175 | py | from .hand import *
################################################################
## Simulated hand implementation
################################################################
class SimConnection:
"""Implements functionality to read and command the simulated hand, regardless of simulator."""
def __init_... | [
"mihaijal@microsoft.com"
] | mihaijal@microsoft.com |
492a402cbf27dab0e47aac4ae9e1d9d48b0ac5d8 | f273e6fbd3d2a39bc88373718cf226ae9638e491 | /POP_moving_file_once.py | c1edeb0ce1340305c601f68e70825e22ada8952c | [] | no_license | TheRiseOfDavid/ntut_crawler | 510c36f95afb8bace42702a60dc388a999dcb6c2 | 4b0a9d4bc92de38f50112975a6d922dbcdda5d4c | refs/heads/master | 2022-06-14T10:06:03.843702 | 2020-03-02T01:38:40 | 2020-03-02T01:38:40 | 242,755,269 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,964 | py | # -*- coding: utf-8 -*-
"""
Created on Sun Jan 26 01:25:29 2020
@author: user
"""
import os
import time
def duplicate(strPath , Data ):
lisDir = os.listdir(strPath)
dicAll_Data = dict()
strData = ""
if(type(Data) == dict):
dicAll_Data = Data
for strFile in lisDir :
strFile_Name = strFile.r... | [
"david53133@gmail.com"
] | david53133@gmail.com |
b2494838e2dd49d90b6e70323d72d2dcb16bfb95 | 0d97aede474efb01d893eba0180bc1cb5170687d | /traceml/setup.py | 61d6ce0b266d06cf5c25160a9d0f3f4d5dc59fc3 | [
"Apache-2.0"
] | permissive | jinheeson1008/tensorflow-lstm-regression | ae7bcd3e48a36cc8bde34c2bd3c2df4f6d24d4b3 | f31fc1181a5696a25f5737398ee0715c24626248 | refs/heads/master | 2022-08-10T13:42:21.695155 | 2022-03-26T16:30:17 | 2022-03-26T16:30:25 | 79,639,036 | 0 | 0 | Apache-2.0 | 2023-09-04T23:21:41 | 2017-01-21T10:26:51 | Python | UTF-8 | Python | false | false | 2,716 | py | #!/usr/bin/env python
import os
import sys
from setuptools import find_packages, setup
from setuptools.command.test import test as TestCommand
def read_readme():
if not os.path.exists("./README.md"):
return ""
with open("./README.md") as f:
return f.read()
class PyTest(TestCommand):
def... | [
"ci@polyaxon.com"
] | ci@polyaxon.com |
122f637e84c5e5004fd039a44edc78f44b846fcc | 4be65fc46dbb6e56834796f2f143256edf1bf03e | /chapter_11/language_survey.py | 5859296df3b5545d5a750877a40578a628db69c3 | [] | no_license | Mozes721/PythonCrashCourse | 78cbb32695d618a14f06f7ae71780b2604f6c7bf | 9c823cc9a75bd6a282bfbbe51aaccf3d21069177 | refs/heads/master | 2021-07-15T10:46:55.979655 | 2020-06-01T14:17:45 | 2020-06-01T14:17:45 | 158,593,111 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 395 | py | from chapter_11.survey import AnonymousSurvey
question = "What language did you first learn to speak?"
my_survey = AnonymousSurvey(question)
my_survey.show_questions()
print("Enter 'q' to quit at any time/n")
while True:
response = input("Language ")
if response == 'q':
break
my_survey.store_respo... | [
"MozesTheGreat@yahoo.com"
] | MozesTheGreat@yahoo.com |
a1f7fdc043c119d5be8f9287702eb97ba545e849 | af2f88672cb9d0be3ff6424235180f2a5815a846 | /xml_process.py | 56eec4f34e1d1f57d6157b20d676857b8f96189c | [] | no_license | wfy1452473846/preprocess-dataset | 1260e77209ccf05b8982b73c5f6c8e03fa5f3d92 | 58e54897fe03b78979cc7c8710cbb5c7b57270b0 | refs/heads/master | 2020-08-02T03:10:38.283237 | 2019-09-27T02:12:20 | 2019-09-27T02:12:20 | 211,217,281 | 0 | 0 | null | 2019-09-27T02:10:50 | 2019-09-27T02:10:49 | null | UTF-8 | Python | false | false | 4,361 | py | """
xml_process.py
20190408
"""
import xml.dom.minidom
import os
from tqdm import tqdm
import cv2
import numpy as np
def pnpoly(test_point, polygon):
"""
Point Inclusion in Polygon Test
https://wrf.ecse.rpi.edu//Research/Short_Notes/pnpoly.html
:param test_point: t... | [
"noreply@github.com"
] | wfy1452473846.noreply@github.com |
c9bd05b4601e4999b2f8e8388cc5a71f4d443296 | 83dec1c86682fee0bebf19b1c30c4051795b4a3d | /Utilities.py | f35987e7f1489ea6281e0b060f807d0072ca36cc | [] | no_license | hayridurmaz/FaceAuthentication | 97b88248cf533a8a9bb4bf2f95da96240f35eaae | 6e6b949e740de56e67c611052a419d12abaab056 | refs/heads/master | 2023-06-07T11:57:57.777695 | 2021-06-17T19:15:43 | 2021-06-17T19:15:43 | 322,927,037 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,000 | py | import logging
import os
import time
import cv2
import matplotlib.pyplot as plt
import numpy as np
from deepface import DeepFace
from keras_vggface.vggface import VGGFace
import config
dataset_path = config.recognizer_options['user_dataset']
database_path = config.recognizer_options['user_database']
resnet50_featur... | [
"hayri.durmaz@tedu.edu.tr"
] | hayri.durmaz@tedu.edu.tr |
6f6c6ada1f54e063deb49df940dc1cc3650971d6 | b9008dc6326b30de1a16ba01a1f3143aa248f7c3 | /python/chapter3/ex01_10.py | 0eed47d612f626182ab96704303341e3153a0b74 | [] | no_license | wonjongah/multicampus_IoT | ce219f8b9875aa7738ef952a8702d818a571610e | 765a5cd7df09a869a4074d8eafce69f1d6cfda4a | refs/heads/master | 2023-02-13T12:30:19.924691 | 2021-01-08T10:17:42 | 2021-01-08T10:17:42 | 292,800,307 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 392 | py | country = "Korea"
if country == "Korea":
print("한국입니다")
if country != "Korea":
print("한국이 아닙니다")
if "korea" > "japan":
print("한국이 더 크다")
if "korea" < "japan":
print("일본이 더 크다")
if "Korea" > "korea":
print("Korea가 더 큽니다")
if "Korea" < "korea":
print("korea가 더 큽니다")
print(ord("K"))
print(ord("... | [
"wonjongah@gmail.com"
] | wonjongah@gmail.com |
6a6dae441e61243aa4dc37b47e3ab5b3a6fe36d7 | 6703813468e8dccfafc7462be67c52d5456d89a6 | /example/web/app_factory.py | 9c3f9bf369963d01dbf54a02637b5664c9d97ea2 | [] | no_license | selecsosi/docker-compose-example | 42f9abb18c4040179f0d5b9ff77afb002635bb2e | 07a7ae485ab7b91f935bbb208cffc309eca1e5a2 | refs/heads/master | 2022-09-26T12:19:02.143742 | 2019-11-15T18:24:55 | 2019-11-15T18:38:27 | 221,803,777 | 0 | 0 | null | 2022-09-13T23:03:04 | 2019-11-14T23:18:49 | Python | UTF-8 | Python | false | false | 234 | py | from flask import Flask
def create_app(logger_override=None):
app = Flask("web")
if logger_override:
app.logger.handlers = logger_override.handlers
app.logger.setLevel(logger_override.level)
return app
| [
"sam.lahti@avant.com"
] | sam.lahti@avant.com |
d01b878b550fec82255c4c85c7fdef2cbb8fe1a7 | e23dba7ea5d2413025f5075d8fbaed893e3edc3a | /preprocess/preprocess_core.py | 4e9947c616e308a68053250fcabe9f6f1039e1b7 | [] | no_license | leoliu1221/engagement_db | 900bee11f6d9cada6a5986d10ada7da1ac7d6a45 | 0b8477079d9ab46ba342c77e52ea2f70368f767e | refs/heads/master | 2021-06-07T09:12:17.797754 | 2016-04-12T04:35:42 | 2016-04-12T04:35:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,714 | py | # -*- coding: utf-8 -*-
'''
#functions needed:
Preprocessing after preprocessing input:
[x] Normalize the X and Y with definition2.
[x] Use the current cut c to cut both X and Y into smaller pieces. E.g. for N(X), I will have N(X) [0:c], N(X)[c:2c], N(X)[2c:3c]… etc. Same thing goes for N(Y).
[x] For each p... | [
"leoliu@u.northwestern.edu"
] | leoliu@u.northwestern.edu |
65fa9de6c1fdf8b167f5af603e921268421be24f | 6cde25cd6cf38f854e465889ef1c59a5d05e58b4 | /src/python/normalize-by-median.py | d42a5891a8401eab2e814f7d7507d935af88a34c | [
"Artistic-1.0"
] | permissive | smyang2018/ergatis | ef8eb6e86add69c3583e16be530e42775be0c565 | 1081ede54c9b06efadf8046ec206e8d8c593e0df | refs/heads/master | 2022-01-21T07:21:42.407806 | 2019-07-12T19:46:50 | 2019-07-12T19:46:50 | 262,735,101 | 0 | 1 | NOASSERTION | 2020-05-10T07:32:32 | 2020-05-10T07:32:32 | null | UTF-8 | Python | false | false | 4,158 | py | #! /usr/bin/env python
"""
Eliminate reads with median k-mer abundance higher than
DESIRED_COVERAGE. Output sequences will be placed in 'infile.keep'.
% python scripts/normalize-by-median.py [ -C <cutoff> ] <data1> <data2> ...
Use '-h' for parameter help.
"""
import sys, screed, os
sys.path.append("/usr/local/pack... | [
"kabolude@c60d6122-3b2e-0410-912d-af40fea696fe"
] | kabolude@c60d6122-3b2e-0410-912d-af40fea696fe |
343d228b230e0ac0eb81a170c2d7b22a7aef5b22 | ed773a408297250d3c1d2797f593fe043f6e07fa | /database_setup.py | 09a8eb086b080d56101b0a269cd160be74e1d5ba | [] | no_license | pedrocecchetti/pythonflaskapp | 8239baa978519f4210364fab64c5d38a610f47cc | aee00aa4c711629a7f4e9b95a2d07502ffc27150 | refs/heads/master | 2020-04-11T06:06:17.414814 | 2018-12-14T12:56:03 | 2018-12-14T12:56:03 | 161,570,556 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,115 | py | import os
import sys
from sqlalchemy import Column, ForeignKey, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship
from sqlalchemy import create_engine
Base = declarative_base()
class Restaurant(Base):
__tablename__ = 'restaurant'
id = Co... | [
"noreply@github.com"
] | pedrocecchetti.noreply@github.com |
835b6e0ac178cfa27a2002e624816e0d162cf8b4 | 9d7afba14939649c0f20b2748d8a20cb973e4a0a | /generate.py | cebb86450d7ee4d0b968170465925193dfe3d9d5 | [] | no_license | ansible-network/resource_module_planning | 47f552a85e1693b68ba730596d6ad7e1b3ff73a0 | c7cca18a4f2f811859d8f1135de2ba2ddeacd935 | refs/heads/master | 2020-04-30T22:57:51.772230 | 2019-04-05T18:33:03 | 2019-04-05T18:33:03 | 177,132,464 | 0 | 2 | null | 2019-04-09T18:10:27 | 2019-03-22T12:01:20 | HTML | UTF-8 | Python | false | false | 4,846 | py | from datetime import timedelta, datetime
from jinja2 import Template
import csv
import settings
def build_ansible_releases():
ars = []
settings.ANSIBLE_RELEASES.sort(key=lambda x: x['date'])
for release in settings.ANSIBLE_RELEASES:
ars.append({"start": release['date'].isoformat(),
... | [
"bthornto@thethorntons.net"
] | bthornto@thethorntons.net |
6a368fc990d1e42010f3c08fb5a77e6b4041cf24 | 22d9a354423bfedd3e49bab34db7a550ec9142b4 | /数据嗨客/HousePricePridect/houserepdict1.py | b2db2250a46eafe652cb2080f81c4091ed1b2bc4 | [] | no_license | linxiaoby/PyCode | b486f583b25019ae3579fe44e8850758a66be5bf | f52bf0cd5fbe586c81d782e03a9458de234e5b20 | refs/heads/master | 2018-10-22T12:58:14.219968 | 2018-05-03T07:28:57 | 2018-05-03T07:28:57 | 104,988,568 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,076 | py | # Adding needed libraries and reading data
import pandas as pd
import numpy as np
import warnings
from sklearn import ensemble, tree, linear_model
from sklearn.model_selection import train_test_split, cross_val_score
from sklearn.metrics import r2_score, mean_squared_error
from sklearn.utils import shuffle
warnings.fi... | [
"wanglin_bnu@163.com"
] | wanglin_bnu@163.com |
fac71e017c2137fab436e08e46fbcddfb616918b | 0104a8813f94c71d8b119109e50e33f460ab4867 | /modular/subscribe.py | 69020294dfb0b80ca0d30298eab1ed479ca65280 | [] | no_license | sunnyhong123/test_ui | ce650962c467631766d38edf067efa39c53a538b | eb8528b72e9de5b76918a8cef5ef696636280ed5 | refs/heads/master | 2023-04-11T12:30:22.427364 | 2021-04-16T08:23:34 | 2021-04-16T08:23:34 | 353,869,001 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,399 | py | #coding=utf-8
from public.Commonlib import Common
from public.rd_email_name import RD
import time
class Subscirbe():
def __init__(self,dr):
self.driver = dr
self.elt = Common(self.driver)
self.rm = RD(self.driver)
def subscribe_success(self):
#订阅流程
subscribe_value = ... | [
"alexhong465@gmail.com"
] | alexhong465@gmail.com |
2ca65305c59f566dc9043beda4fac38b816d1645 | cc3dd8ee82c854666680b086e55ba7bead421bef | /2.python_module/3.example/finance/methodForFin.py | 175a26041cf5c1924b98336735c8ab00a8588ffb | [] | no_license | eggeggss/PythonTutorial | b46a4377fdc0967f3c13e4d70f8ebfdebc93ef53 | a35fbf5d9c78ec6896b757529d97b262f6f0637b | refs/heads/master | 2020-04-01T01:27:42.793973 | 2018-12-01T15:14:49 | 2018-12-01T15:14:49 | 152,739,571 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 51 | py |
def printMethodName():
print('Finance Method') | [
"eggeggss@gmail.com"
] | eggeggss@gmail.com |
b9e6bf9944097897f35f1edbb712bbb2fa99f251 | c51eef37bb983a9c35635c7ccc96a0cf689a7438 | /com/chapter03_python_begin/05_for/02_range.py | 6e97b3c6cbd2c9345bac79003fba8ca69d3a9ff6 | [] | no_license | Kyeongrok/python_crawler | 0a717b43be36584af1b0f7c1ad0c79108a5d11e0 | 5a5da8af7bb080f752a9a066741ac8adab136a3a | refs/heads/master | 2022-09-13T03:15:08.053639 | 2022-08-02T15:45:03 | 2022-08-02T15:45:03 | 124,719,435 | 40 | 34 | null | 2019-02-27T08:29:52 | 2018-03-11T03:20:32 | HTML | UTF-8 | Python | false | false | 25 | py | print(list(range(1, 10))) | [
"kyeongrok.kim@okiconcession.com"
] | kyeongrok.kim@okiconcession.com |
65a186d1f261b126882e2435ee2ae83f22c7970b | 48c47c714502fdc8cb8bb59601f30c344945a6d0 | /sdt/util/logging.py | 2269f55874bf16b4b6e19049b6a40526ff113113 | [] | no_license | ronvree/SoftDecisionTree | 327ef0e89eb600f0ee16d3f9cb0ad619b8bb9ba7 | b3ad17be8870c08be66d78974e0f78ae6f0439c7 | refs/heads/master | 2022-12-12T13:35:51.805748 | 2020-08-22T15:05:13 | 2020-08-22T15:05:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,456 | py | import os
class TrainLog:
"""
Object for managing the train log directory
"""
def __init__(self, log_dir: str): # Store log in log_dir
self._log_dir = log_dir
self._logs = dict()
# Ensure the directories exist
if not os.path.isdir(self.log_dir):
os.mkdi... | [
"ronvbree@gmail.com"
] | ronvbree@gmail.com |
94bb2d5431ce4313c83f6d758e2f635450d23874 | 6d5bc5e2bff976f8c2057e311be2e7a4a4e327e5 | /main.py | 8b4079c7c8e8025ec00bfe8d5aa0e85745f3742e | [] | no_license | vikasnataraja/Predicting-Adult-Census-Income-using-Machine-Learning | 8393c377fcc24a62adfc00dffb4a8818883432eb | 617b5e910ae015393d08765d95d6aedb2a05d5b5 | refs/heads/master | 2020-05-20T01:57:11.882412 | 2019-05-07T04:51:59 | 2019-05-07T04:51:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,443 | py | #!/usr/bin/env python
# coding: utf-8
# ## Predicting Adult Census Income
#
# Using only data from the training set, I am aiming to predict the test score (or incomes) without knowing the test
# solution. To circumvent this uncertainty, I am using cross validation which allows me to tune the hyperparameters.
# In[ ]... | [
"viha4393@colorado.edu"
] | viha4393@colorado.edu |
7454e773ea8edc027d5830ae01f8e4737b1415ed | 6f568983e2662d9c69603d93b62755f2dd47705e | /week5/ProblemSet5/ps5_recursion.py | b5c1d094a0f6bb086ac8f80155181080b3402d43 | [] | no_license | sesan/6.00x | 6e40d1832326e724e3d554c7327e28569890c2ae | 86afbf1f447cf5bd0e493890be2a00403ae2e825 | refs/heads/master | 2020-12-31T02:14:44.869543 | 2013-03-26T20:45:44 | 2013-03-26T20:45:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,310 | py | # 6.00x Problem Set 5
#
# Part 2 - RECURSION
import imp
storyFile = open("story.txt", 'r')
story = storyFile.read()
from ps5_encryption import *
#
# Problem 3: Recursive String Reversal
#
def reverseString(aStr):
"""
Given a string, recursively returns a reversed copy of the string.
For example, if the s... | [
"ryan.lindgren@gmail.com"
] | ryan.lindgren@gmail.com |
bcb2bac7460fd22247f6850cfb190c7713966a7e | 490ffe1023a601760ae7288e86723f0c6e366bba | /kolla-docker/nova/nova/compute/resource_tracker.py | 4f32a9eff29481b02245cdfa874c8e6d7ccb2a78 | [
"Apache-2.0"
] | permissive | bopopescu/Cloud-User-Management | 89696a5ea5d2f95191327fbeab6c3e400bbfb2b8 | 390988bf4915a276c7bf8d96b62c3051c17d9e6e | refs/heads/master | 2022-11-19T10:09:36.662906 | 2018-11-07T20:28:31 | 2018-11-07T20:28:31 | 281,786,345 | 0 | 0 | null | 2020-07-22T21:26:07 | 2020-07-22T21:26:06 | null | UTF-8 | Python | false | false | 67,693 | py | # Copyright (c) 2012 OpenStack Foundation
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | [
"Mr.Qinlichao@hotmail.com"
] | Mr.Qinlichao@hotmail.com |
7c2d0335fc9981073bcab8ae14c39d83b10e1c1f | 76902c0ca5e16eb68dfee899c5595fd697d3a7d8 | /CoisaDeUfersa/AgroPopShop/src/main/resources/aeiou.py | 462c2e199ed38cfe60b77617df60d4f36cce88bf | [
"MIT"
] | permissive | weixiaoUfesa/pweb_2020.2_weixiaoChen | d2c9c0aa88917fa7b103ac520a2ebc29500f85ac | 1061a980bba25f75f104dafb310fc0509aed71f0 | refs/heads/main | 2023-08-30T16:25:26.876386 | 2023-08-30T11:45:10 | 2023-08-30T11:45:10 | 343,974,773 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 227 | py | a=e=ii=o=u=0
str=input('nome:')
for i in str:
if i=='a'or i=='I':a=a+1
if i=='e':e=e+1
if i=='i':ii=ii+1
if i=='o':o=o+1
if i=='u':u=u+1
print('a:',a)
print('e:',e)
print('i:',ii)
print('o:',o)
print('u:',u) | [
"56464135+weixiao1994c@users.noreply.github.com"
] | 56464135+weixiao1994c@users.noreply.github.com |
d6d4045aeb90759fae31fe036e9cb108f29134fe | 4249b126a07d277a110e1acbf12175ebfcdcbaad | /Book-Chapter3_3-Bisection-SqRoot.py | 7ea22cfe11a57c883242f37ab43a9ad50962992b | [
"MIT"
] | permissive | tocheng/Book-Exercises-Intro-to-Computing-using-Python | 426b24d1175b889dd5aea5df1fbac4b485bd4ba4 | a54f164cb53dc5fa0bfb88cee9e1a5d69cb9fb09 | refs/heads/master | 2023-02-12T19:47:43.832801 | 2021-01-14T15:34:48 | 2021-01-14T15:34:48 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 619 | py | # -*- coding: utf-8 -*-
"""
Created on Fri Nov 13 17:09 2020
Introduction to Computation and Programming Using Python. John V. Guttag, 2016, 2nd ed
Book Chapter 3 Finger Exercises
Bisection search for square root
@author: Atanas Kozarev - github.com/ultraasi-atanas
"""
# Find x such that x**2 - 24 is within epsilon o... | [
"55555430+ultraasi-atanas@users.noreply.github.com"
] | 55555430+ultraasi-atanas@users.noreply.github.com |
f177da88dbb975deb9ac6b07454a03d21b3123c0 | 3d158381e8b51b547cb97b42f31715460968c343 | /python_html_css_blog/routes.py | a5d9de0505cce8203d0743dffe21e440188e1fad | [] | no_license | bkzzshzz/Python_Practice | 942ab981ba64ddc8321b6532ef6790da54230100 | 01352aa29a881204595b98dead60b3c836be7070 | refs/heads/master | 2023-06-29T18:35:24.374307 | 2021-08-03T04:14:10 | 2021-08-03T04:14:10 | 372,134,055 | 0 | 0 | null | 2021-06-24T10:06:57 | 2021-05-30T05:46:03 | HTML | UTF-8 | Python | false | false | 1,396 | py | class Route:
def __init__(self, list_of_paths, redirect_path_list):
self.list_of_paths = list_of_paths
self.redirect_path_list = redirect_path_list
def add_path_to_list(input_path, return_url):
pass
def register_url(input_path):
pass
if __name__ == '__main__':
al... | [
"bkzz_shzz@yahoo.com"
] | bkzz_shzz@yahoo.com |
9aeac7b87a2f57ebe772c44c85063b2f39bf2e16 | 4fe15daaf02b59ee4bf21d529c8ea092477de2ce | /wtiproj05_api_logic2.py | 827c84be93afbb8f39ececbc5930cb2e5d9f71d6 | [] | no_license | DalduK/WTILAB | a41e849ed20dbbb57d1af67f58743f4c70ec9572 | 27ee663737a096ad10cea02807b6026c1beb659c | refs/heads/master | 2022-10-25T06:59:53.269637 | 2020-06-20T15:21:53 | 2020-06-20T15:21:53 | 251,050,630 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,803 | py | import json
import numpy as np
import pandas as pd
import wtiproj05_redis as rr
import wtiproj04_ETL_and_data_processing as w
class api():
def get(self):
ll = rr.get_rand_user()
ll = ll.fillna(0)
return ll.to_dict()
def post(self, data):
immutable = frozenset(data.items())
... | [
"przemyslaw7wozny@gmail.com"
] | przemyslaw7wozny@gmail.com |
82cadd475948ffd96531e64287bce69554e71933 | caba6799c6cd4d33954db0a07e8821e73087d81a | /updatesproducer/updateapi/audio.py | c4d025b62cbc40190a9c95c6f8fcba2b4514de7b | [
"Apache-2.0"
] | permissive | ShakedGold/Iris | f2bcf3c5568fdb9de7bcb06a9a161fbd2cdd8953 | b60deb6575820253bad50b48b9b39023d6440fd4 | refs/heads/master | 2022-12-31T03:32:36.695256 | 2020-10-18T06:07:01 | 2020-10-18T06:07:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 233 | py | from updatesproducer.updateapi.imedia import IMedia
class Audio(IMedia):
duration_seconds: int
title: int
artist: int
def __init__(self, **kwargs):
self._type = 'Audio'
self.__dict__.update(kwargs)
| [
"multi@codeprecise.com"
] | multi@codeprecise.com |
a71ffa22320c4670dd2b0cdddeac57895b932240 | 38f74ac071e1368b209f5659919204be6f3f7a75 | /algorithmic-toolbox/week4_divide_and_conquer/4_number_of_inversions/inversions.py | 297838c9b48955fac49f428e0e25256a2f328c0e | [] | no_license | pablo-var/data-structures-and-algorithms | 40ca102b40b2f96caa1bf70ac9c03187c062f2ed | b07d9025c162025b289cbb60f0c964973849f532 | refs/heads/master | 2022-11-11T05:21:45.700575 | 2020-06-21T20:29:10 | 2020-06-21T20:29:10 | 258,991,965 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,631 | py | # Uses python3
import sys
def merge(arr, l, m, r):
number_of_inversions = 0
n1 = m - l + 1
n2 = r - m
# create temp arrays
L = [0] * (n1)
R = [0] * (n2)
# Copy data to temp arrays L[] and R[]
for i in range(0, n1):
L[i] = arr[l + i]
for j in range(0, n2):
R[j] = ... | [
"pablovargasibarra12@gmail.com"
] | pablovargasibarra12@gmail.com |
9e2613d43c8d4d08d227418cedbf0dd8bf1c3c42 | c09cfdb1302f4d409bfc042dd0fff6a6d59f4a87 | /Apocalypse/textRNN_half2.py | 6b50d99efbdabc8f4d5a19027bbc5fc8bd9a864f | [] | no_license | Utschie/ML_Monitoring_Trade | 30773b91024c7ffca4f95a8e18ed56c4e2147529 | 3791e8405ae314dee4f6008c3feb214427f14a55 | refs/heads/master | 2021-11-08T03:17:06.834889 | 2021-07-05T18:10:37 | 2021-07-05T18:10:37 | 166,300,248 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,151 | py | #本程序是采用平衡数据集的用tsvd的模型，看看会不会比非平衡数据集好————20210126
#把优化器的eps跳到1e-16,并把初始学习率调低两个数量级，看看loss会不会继续持续下降
'''
经过初始学习率分别为0.01,0.001,0.0001,0.00001的比对后，发现0.001甚至0.01是最好的学习率，loss最低降到1.1左右
而0.0001和0.00001下降非常慢，甚至在初始学习率为0.00001时loss到了5之后下降就非常慢了
而当学习率为0.01时loss很快就下降到了1.1,而且非常稳定，甚至比0.001还稳
'''
#这次试一下如果不用正交初始化而是用默认初始化的话，loss会是个什么结果
#使用默... | [
"littlecat.j@hotmail.com"
] | littlecat.j@hotmail.com |
8bd85a71ed32a09c3f871431ee97970c9134121b | a2e638cd0c124254e67963bda62c21351881ee75 | /Extensions/FrontCache/FPythonCode/FC_TCOLL_01_ATS_40.py | 11d35ced4c4937f267029d8778ff4dfce2f825ed | [] | no_license | webclinic017/fa-absa-py3 | 1ffa98f2bd72d541166fdaac421d3c84147a4e01 | 5e7cc7de3495145501ca53deb9efee2233ab7e1c | refs/heads/main | 2023-04-19T10:41:21.273030 | 2021-05-10T08:50:05 | 2021-05-10T08:50:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,150 | py |
'''----------------------------------------------------------------------------------------------------------
MODULE : FC_TCOLL_01_ATS_40
PROJECT : FX onto Front Arena
PURPOSE : This module is the entry point for the Trade Collection ATSs. These ATSs w... | [
"nencho.georogiev@absa.africa"
] | nencho.georogiev@absa.africa |
ea26d52cac00b4d403d26785a8562ac5dd52f808 | a0282c578384ea765bee9c6611fabbe79b2256fc | /openhrms/hr_biometric_machine_zk_demo/models/finger.py | 8de9829e3932d0a7ec804b62f8cf03fede1221d9 | [
"MIT"
] | permissive | nadahmed/hivecorehrms | f688220d5dcabace8c62fb2eb42ce6b9b4e02105 | e0cacbbd2f608490b613b9c671809e251868035d | refs/heads/main | 2023-03-29T12:08:53.539162 | 2021-03-23T06:07:43 | 2021-03-23T06:07:43 | 350,272,239 | 0 | 0 | MIT | 2021-03-22T08:54:46 | 2021-03-22T08:54:44 | null | UTF-8 | Python | false | false | 1,764 | py | # -*- coding: utf-8 -*-
from struct import pack #, unpack
import codecs
class Finger(object):
def __init__(self, uid, fid, valid, template):
self.size = len(template) # template only
self.uid = int(uid)
self.fid = int(fid)
self.valid = int(valid)
self.template = template
... | [
"abrarahnaf@gmail.com"
] | abrarahnaf@gmail.com |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.