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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
124ef503647674d5954b7b9f0a1783d787153177 | 9b3a3a84d51b46f576b12ebf4da42f9c7244fc95 | /introduction-to-python/02-datatype.py | a2b4764e02b72c09cf67285dc8434db055c74fd9 | [] | no_license | Markweell/introduction-to-python | bce97e40a1553e7caa90e7b82d7e1510a816c3a1 | ea3ceb38e482cab265c2fe8a638225ba1dc47e26 | refs/heads/master | 2022-06-20T02:07:37.597644 | 2020-05-09T18:34:46 | 2020-05-09T18:34:46 | 262,634,921 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 490 | py | #string
print(type("Hello word")) # str
print(type('Hello word')) # str
print(type('''Hello word''')) # str
print(type("""Hello word""")) # str
# Number
print(type(30)) # int
print(type(30.3 )) # float
# Bolean
print(type(False)) # bool
# List
print(type([12,123,123,123])) # List
print(type([12,False,123,'string'])... | [
"marcosgallardoperez@gmail.com"
] | marcosgallardoperez@gmail.com |
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 |
cafc587d98b94559ed1c700073ef8df288023c8a | a2f08f07c5a8473fc6d65b54844948524a8d56a5 | /codigwithsilentsec/src/account/admin.py | b72b53b9d4b00e41e1423fa4da64b110879754f5 | [] | no_license | silnetmagar321/etenderwebsite | 9fd94e11d4103b68397a2af6179453f659591bb5 | 39521808442c63cc2ade17602430f625d091f213 | refs/heads/main | 2023-01-07T13:25:56.174456 | 2020-10-20T09:08:14 | 2020-10-20T09:08:14 | 304,482,380 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 482 | py | from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from account.models import Account
# Register your models here.
class AccountAdmin(UserAdmin):
list_display = ('email', 'username', 'date_joined', 'last_login', 'is_admin', 'is_staff')
search_fields = ('email', 'username',)
... | [
"56421032+silnetmagar321@users.noreply.github.com"
] | 56421032+silnetmagar321@users.noreply.github.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 |
41f4b127bfbd6b75174719694a023c07f6cca470 | 673e829dda9583c8dd2ac8d958ba1dc304bffeaf | /data/multilingual/Latn.TZO/Sun-ExtA_16/pdf_to_json_test_Latn.TZO_Sun-ExtA_16.py | 1ec5da78381362fbe785a67e34d5996d974a7995 | [
"BSD-3-Clause"
] | permissive | antoinecarme/pdf_to_json_tests | 58bab9f6ba263531e69f793233ddc4d33b783b7e | d57a024fde862e698d916a1178f285883d7a3b2f | refs/heads/master | 2021-01-26T08:41:47.327804 | 2020-02-27T15:54:48 | 2020-02-27T15:54:48 | 243,359,934 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 311 | py | import pdf_to_json as p2j
import json
url = "file:data/multilingual/Latn.TZO/Sun-ExtA_16/udhr_Latn.TZO_Sun-ExtA_16.pdf"
lConverter = p2j.pdf_to_json.pdf_to_json_converter()
lConverter.mImageHashOnly = True
lDict = lConverter.convert(url)
print(json.dumps(lDict, indent=4, ensure_ascii=False, sort_keys=True))
| [
"antoine.carme@laposte.net"
] | antoine.carme@laposte.net |
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 |
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 |
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 |
2a4891fc504a6b60e310d8e66dfe03173c3f98d5 | 6a2a6408be018ba2772a2888c8b3a7ee6838ddeb | /weechat/python/wee_slack.py | 820f99f2061d275436bb6a7bf7d249a53139de9d | [] | no_license | gicmo/dot-files | c5b4598ffa399936f7d149039e558a89f5de7239 | 6ca9343cad5612e3c6daa61a7c80aa8bbfa01e28 | refs/heads/master | 2023-04-06T07:48:14.453990 | 2023-03-27T14:20:27 | 2023-03-27T14:20:27 | 41,631,064 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 149,634 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from collections import OrderedDict
from functools import wraps
from itertools import islice
import textwrap
import time
import json
import pickle
import sha
import os
import re
import urllib
import sys
import traceback
import collections
import ssl
imp... | [
"christian@kellner.me"
] | christian@kellner.me |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
d7e882092e4b190087f4548e9372a44995255bcf | d3737731634ee3f6fa2b19f6806d42ecc27d21a5 | /wals3/scripts/initializedb.py | 273185799ef7e0f763aec0421b0141b6c83648e1 | [] | no_license | Maggi12/wals3 | 3ad2475714b2d0bd1a7e5bb52baac1070eb07a5f | e66f08766ef67f51cae3d9656bcd4da1a8cf63c8 | refs/heads/master | 2021-01-22T20:02:56.225183 | 2014-07-25T15:42:39 | 2014-07-25T15:42:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 28,628 | py | from __future__ import unicode_literals
import sys
import transaction
from itertools import groupby, cycle
import re
from datetime import date, datetime
from collections import defaultdict
from pytz import utc
from sqlalchemy import create_engine
from sqlalchemy.orm import joinedload_all
from path import path
from bs4... | [
"xrotwang@googlemail.com"
] | xrotwang@googlemail.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 |
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"
] | noreply@github.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"
] | noreply@github.com |
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 |
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 |
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"
] | noreply@github.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"
] | 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 |
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 |
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 |
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 |
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 |
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 |
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 |
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"
] | noreply@github.com |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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"
] | 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 |
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 |
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 |
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 |
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 |
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 |
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 |
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"
] | noreply@github.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 |
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 |
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"
] | noreply@github.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 |
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 |
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 |
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"
] | noreply@github.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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 | |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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"
] | noreply@github.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 |
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 |
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"
] | 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 |
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 |
ec0697a587adfde770bd0982ff82827775e2cf74 | 5729a58d778cb2937960ffd381f81a42a92e7b17 | /python/0067.py | 89b75831148f283c91e990c09b0693abe572f80a | [] | no_license | morizyun/aoj-ruby-python | af62e59e42bc1533aa953ea540a409bc2b31b8cb | 296ab281328751f6fa4975d3cafd8a9db1d98f94 | refs/heads/master | 2020-05-18T18:08:19.189754 | 2017-07-09T07:54:02 | 2017-07-09T07:54:02 | 18,957,701 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 632 | py | def get_map():
map = []
while True:
try:
tmp = list(raw_input())
if len(tmp) != 12: break
map.append(tmp)
except:
break
return map
def remove_island(x, y, map):
map[x][y] = 0
move = [[1, 0], [0, 1], [-1, 0], [0, -1]]
for i, j in move:
if 0 <= x + i <= 11 and 0 <= y + j <... | [
"merii.ken@gmail.com"
] | merii.ken@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 |
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 |
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 |
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 |
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 |
ced414a621cd118c2763f7acf3b292e0b3e15b21 | 234ed1b2c5b070dc0263e7e065c1f6b82d8a7c88 | /new_code/ui_activities/course_planner_components/course_information_window.py | de7acecaa4370033a7ebf6d79f52ccb93ebe53c3 | [] | no_license | Mossaka/grabbing_UCSD_courses | 8dec226ecdd42689d84740f456fa6ca9b670b228 | 88065dfa4f535d8f3d0ed3ca0a78ab22bec30cc1 | refs/heads/master | 2021-01-19T04:45:05.363362 | 2017-09-07T15:04:27 | 2017-09-07T15:04:27 | 87,393,494 | 1 | 1 | null | 2017-07-18T03:54:14 | 2017-04-06T06:20:27 | Python | UTF-8 | Python | false | false | 1,027 | py | import tkinter as tk
class ShowInfo:
def __init__(self, upper, course_ID, connector):
self.info_level = tk.Toplevel(upper)
self.info_level.title("More Info about {}".format(course_ID))
self.info_level.geometry()
self.info_level.resizable(0, 0)
self.info_level.bind('<Escape>... | [
"jiz417@ucsd.edu"
] | jiz417@ucsd.edu |
fe9f5ac55217dfc033c9cc3c4fd89943726640c8 | 614e01d08c8bb5adbe4d263d9dba04688502a12f | /toggl_driver/commands/start_timer.py | fe1b1ed883f441770071e74e3ae2ab9cf118f09e | [
"MIT"
] | permissive | cloew/TogglDriver | 28b2b2ebd396d08000fc92e0013f15722975ae06 | 7b0528710e7686690a88a22cf5cca1f3ac55ebbf | refs/heads/master | 2021-01-10T13:05:58.759515 | 2015-10-01T03:43:52 | 2015-10-01T03:43:52 | 43,025,616 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 750 | py | from ..args import OptionalProjectArg
from ..config import GlobalConfig
from kao_command.args import Arg, BareWords
class StartTimer:
""" Represents a command to start the Toggl Timer """
description = "Start the Toggl Timer"
args = [Arg('description', nargs='+', provider=BareWords),
... | [
"cloew123@gmail.com"
] | cloew123@gmail.com |
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