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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1e375586cbd7c74b358b69b8b358e5b661304080 | 4994dd5eab22d7f742e8314cc6b794758c9efb88 | /rasp-server/serverInterface/gui.py | 05741a1ca0338a76cc268011b9de048e38fa527a | [] | no_license | lukasp2/my-programs | 500ad27e0600c5b6d9ef13540ee7aec8643b8e07 | 34a340922c70a76f5cdc39be98fd248859d32ac7 | refs/heads/master | 2021-10-20T10:25:16.389875 | 2021-10-13T17:51:59 | 2021-10-13T17:51:59 | 249,396,758 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 402 | py | from tkinter import *
class Gui():
def __init__(self):
self.window = Tk()
self.window.title("Server Interface")
self.window.geometry('1080x720')
def add(self, text="ABC", font=("Arial Bold", 10), position=(0,0)):
lbl = Label(self.window, text=text, font=font)
lbl.place(... | [
"lukpohl3@gmail.com"
] | lukpohl3@gmail.com |
a816b9eb7cb4c15572bcc2fde5429a9a3fef50b8 | 2827d7a837eb29c3cb07793ab6d3d5a753e18669 | /alipay/aop/api/request/AlipayOfflineMarketProductBatchqueryRequest.py | 5b6524909b5e0b93c45834d283793cf3e6e236ce | [
"Apache-2.0"
] | permissive | shaobenbin/alipay-sdk-python | 22e809b8f5096bec57d2bb25414f64bdc87fa8b3 | 5232ad74dff2e8a6e0e7646ab3318feefa07a37d | refs/heads/master | 2020-03-21T04:51:39.935692 | 2018-06-21T07:03:31 | 2018-06-21T07:03:31 | 138,131,022 | 0 | 0 | null | 2018-06-21T06:50:24 | 2018-06-21T06:50:24 | null | UTF-8 | Python | false | false | 4,015 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.FileItem import FileItem
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.AlipayOfflineMarketProductBatchqueryModel import AlipayOfflineMarketProductBatchqueryModel
class AlipayOfflineMarketProductBatchquer... | [
"liuqun.lq@alibaba-inc.com"
] | liuqun.lq@alibaba-inc.com |
cd4370074bb41bf9e731daf73ccce7b0d725f95e | d73f2c600d018a7decbf99feac95ea192b8048d7 | /union_of_arrays.py | 0e4be2de7253e273aa502789f45bdb92bf3b3423 | [] | no_license | saurabhlengare15/gfg_array | fca91526ac1131cea74a59c2434bce6bc22bfbad | 0d16c017164de8431358ab7d9a22b9d02fec00d8 | refs/heads/main | 2023-07-17T21:49:16.765165 | 2021-09-02T06:25:43 | 2021-09-02T06:25:43 | 399,807,570 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 141 | py | a = [85,25,1,32,54,6]
b = [85,2]
for i in b:
if i in a:
a.remove(i)
op = b+a
print(list(set(op)))
print(len(op)) | [
"saurabhlengare15@gmail.com"
] | saurabhlengare15@gmail.com |
584e6c0d4289d72efa6b226ce78b5ab638aacebb | d97bb55d1ba4d62212f3ebc47cee36ad2dff1581 | /blog/migrations/0002_comment.py | 7ce191aae3a3e30b790af33d0554b02e2310723a | [] | no_license | Zhgong/my-first-blog | f9a68f59fdf6b477d1bb9934c86d127e07eb1d03 | d1db922234ffe3198942e9649b2166814b5a6436 | refs/heads/master | 2021-01-17T06:52:36.067752 | 2016-07-28T20:25:37 | 2016-07-28T20:25:37 | 45,757,197 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 971 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.8 on 2016-07-28 20:13
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
('blog', '0001_initial'),
]
... | [
"sean.gongz@gmail.com"
] | sean.gongz@gmail.com |
0a45a862d3c529f57cce59103290f55dc8ab44f8 | 057fde8a8ab9622a3524cb880c7ace5a15c0f355 | /set7/70.py | 4b1fb8e3c9d5e4a6348aeeaf197facb1e7fb3b10 | [] | no_license | ramyasutraye/Guvi_Python | e9ba6eb812ec8014214dce77d710ce230bbb8020 | 2fed3c460185fbf7bcf64c068084bcdb7d840140 | refs/heads/master | 2020-04-23T19:30:21.003061 | 2018-05-25T10:43:14 | 2018-05-25T10:43:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 157 | py | a=int(input("Enter any number:"))
for i in range(0,a):
num=2**i
if num>a:
print(num)
break
if a==2:
print("4")
elif a==1 or a==0:
print("2")
| [
"noreply@github.com"
] | ramyasutraye.noreply@github.com |
dbe5bcedfd167903ef625947a9f2ad1c9b06331d | b03b82524d44aa14cfa700370841373e93f87de0 | /Part2/weighted_choice.py | 767d0d18fc83875885101c0497a5175456c1a8a6 | [] | no_license | megagreg72/2014_washu_social_networks_graph_of_citations | 881f9373d572ac9d19d52563aa9cb6879473bd8c | f5a6fde958be9d671c5ca42b4e4b43de65c8efd2 | refs/heads/master | 2020-07-22T01:13:49.500392 | 2019-09-07T21:25:11 | 2019-09-07T21:25:11 | 207,026,984 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,198 | py | import itertools
import random
import math
import bisect
import networkx as nx
from networkx.generators.classic import empty_graph, path_graph, complete_graph
"""
Part of a failed attempt to reimplement NetworkX
graph generation. Nothing to see here.
"""
"""
Gets random element of list in O(n) time.
"""... | [
"noreply@github.com"
] | megagreg72.noreply@github.com |
57ad9713e3f79782de7a2975b56af58d0da43ecc | 865649cd891b2e0583f16c65b97a7ad9b81e8608 | /python/mockUserInterests.py | 0e2fe9abfd3a965a6845eb9ae7aab586e7074fbb | [] | no_license | crnlmchina/scripts | 486912b6ac997d39dda24fe4548e86bb3004058e | b1220f001153871b18506d8be6f915e144785800 | refs/heads/master | 2016-09-05T16:45:13.755633 | 2015-06-11T07:19:24 | 2015-06-11T07:19:24 | 10,258,998 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,733 | py | # -*- coding: utf8 -*-
'''
Created on 2012-3-5
@author: wangyuxaun
'''
from pymongo import *
from pyExcelerator import *
import re
_output_report_name='/home/wendui/scripts/python/mock_user_interests.xls'
#_output_report_name='C:/data/mock_user_interests.xls'
_mongo_host='127.0.0.1'
_categories={
'vmlrkfkytk' : u... | [
"crnlmcn@gmail.com"
] | crnlmcn@gmail.com |
809595d1fa3df5a45abcab47ef7dd4d58698b915 | 8af8544612d10260d1eaf4c613e599aaafc8f4c7 | /cal/admin.py | 48bd114c5a689fcc66e2fa9e1edc167617f235d1 | [] | no_license | Noeuclides/djangocalendar | 46979e7249adc94c449b7bd54888f752936a9a46 | 4a7fed9ae73989190c8b1f620de81af48248b788 | refs/heads/master | 2023-07-31T21:42:25.638017 | 2020-06-22T22:32:15 | 2020-06-22T22:32:15 | 273,511,608 | 0 | 0 | null | 2021-09-22T19:16:05 | 2020-06-19T14:20:39 | Python | UTF-8 | Python | false | false | 1,114 | py | from django.contrib import admin
from cal.models import *
class EventAdmin(admin.ModelAdmin):
list_display = ('id', 'title', 'grade')
list_display_links = ('id', 'title', 'grade')
class ChallengeAdmin(admin.ModelAdmin):
list_display = ('id', 'name', 'grade')
list_display_links = ('id', 'name', 'grade'... | [
"euclidesnoeuclides@gmail.com"
] | euclidesnoeuclides@gmail.com |
39b6a43f069ab0c1d6e92990a6bd9b7bfcea8462 | d4a62b61a25db4edd6e772aa63e46efa6003cd7d | /Common/model_utils.py | 32c13eb6489c1beb3e962327ec6b095f84fd61db | [
"MIT"
] | permissive | PC-Completion/VPC-Net | ae7255831cc07c7aab2c8686fc9c0130d5674282 | 5bcdfb7bdf0eca214b02bed26b05faa6ea6c1fee | refs/heads/main | 2023-07-19T17:12:49.457825 | 2021-04-20T19:20:44 | 2021-04-20T19:20:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,132 | py | import os
import tensorflow as tf
from pc_distance import tf_nndistance, tf_approxmatch
from tf_ops.sampling import tf_sampling
from tf_ops.grouping.tf_grouping import query_ball_point, group_point, knn_point_2
from tf_ops.sampling.tf_sampling import gather_point, farthest_point_sample
import numpy as np
def covarianc... | [
"xyansunshine@gmail.com"
] | xyansunshine@gmail.com |
cdf830ae3e0835a12624bfd2c5ef4c83e633a614 | 313afbb1ea19f2266571870c7461f2591e30ea7b | /src/lab/lab01/z_7_macierze.py | e11a427c91a7ab0da9a9a38c400254c006be1ae9 | [] | no_license | tborzyszkowski/LogikaProgramowania | 89201a76ddc60692ffccaf7c4c7b17d4e1e2c0e8 | cceb161a6ff5933d2acc31f15879cafcf03b285b | refs/heads/master | 2022-06-23T18:41:29.460094 | 2022-06-17T16:18:29 | 2022-06-17T16:18:29 | 250,095,485 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 527 | py | from random import random
N = 2
m1 = [
[(1 if i == j else 0) for j in range(N)]
for i in range(N)
]
m2 = [[int(random() * 100) for y in range(N)] for x in range(N)]
print("m1:")
for row in m1:
print(row)
print("\n-----------\n")
print("m2:")
for row in m2:
print(row)
print("\n----------... | [
"t.borzyszkowski@gmail.com"
] | t.borzyszkowski@gmail.com |
c6601188140090565f5e973a3caafcdca7e549d6 | 204e9b50e363126702dbdb69657938a5ab8f43ce | /home/migrations/0001_initial.py | 6f48e658682c34c5091f192fc03c9ee95d086c1e | [] | no_license | thangnguyen-gmail/thimanguonmo | 9a763335747ce7cf497f20a1981c3320b84c11f1 | c739ee74e1563a8ee25f607d7ae5a5db9547e945 | refs/heads/master | 2020-12-01T17:01:42.416278 | 2019-12-29T05:10:07 | 2019-12-29T05:10:07 | 230,705,577 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,270 | py | # Generated by Django 2.2.7 on 2019-12-18 16:02
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Category',
fields=[
('cat_id', models.AutoF... | [
"thangnguyen1098@gmail.com"
] | thangnguyen1098@gmail.com |
00a9ae15be7eee119897d2fa31829272702b24dd | dcb1c6ccd8df1658f63bbcc9c0d57e019126e918 | /Other Pjts_RecSys/cosine_similarity.py | a887e66488b439426ab94aaf18a0695b7684dc97 | [] | no_license | alishaaj/data-works | 58f7e419257383c1d873c2be507d2d4bb2ec284a | fc0d0ef8923414b6d593ffd412a93782b98f434f | refs/heads/master | 2020-03-25T09:23:57.733913 | 2018-08-06T03:22:30 | 2018-08-06T03:22:30 | 143,664,745 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,791 | py | # -*- coding: utf-8 -*-
"""
Created on Wed May 23 11:03:36 2018
@author: alish
"""
#----Train-----------
import pandas as pd
# Importing the dataset
rating_data = pd.read_csv('train5.csv')
traindata=rating_data[['User','Item','Rating']]
#selecting positive irems ; rating>3
posdata_train=traindata.loc[traindata['Ratin... | [
"alisha.jose2@gmail.com"
] | alisha.jose2@gmail.com |
87b034c3f1d2cf08e6ac08e11e95b604ac377c93 | 6a3aadefc99e8e1f4f57daffa11f629ce4c5173b | /getWeatherData.py | 77d2bc4d933c1958ab4be065dbceba16a4402d16 | [] | no_license | Allen2Git/weatherScrapy | 44b2e32a57d85e3bfa56cedd80ca69ef06c01618 | 02b74dd53b9b6a26c0acbedfcae8fcc30fe9c1f5 | refs/heads/master | 2021-05-11T16:25:33.561203 | 2018-01-17T01:40:47 | 2018-01-17T01:40:47 | 117,766,763 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,422 | py | # -*- coding: utf-8 -*-
from bs4 import BeautifulSoup
import pandas as pd
import requests
import calendar
import os
# try:
# request = urllib2.Request(url)
# response = urllib2.urlopen(request)
# htmlString = response.read()
# # print html
# except urllib2.URLError, e:
# if hasattr(e,"code"):
# print e... | [
"noreply@github.com"
] | Allen2Git.noreply@github.com |
65a2eb863705b577a75d3e79df2f1efd7b5c0fed | df1d5b0890f01a3f9e0f995ce7f4f63d1d32ec17 | /option2.py | 89264033b9948095550ae60edde6e753a773a23e | [] | no_license | nicolasmarat9/isoprog_finger | 9747eaf886e69781343df4f9b0429e8930a01570 | 67c0099cb3b4a86a92f18e46930e617b438938ea | refs/heads/master | 2021-05-20T00:42:38.409759 | 2020-04-28T21:26:53 | 2020-04-28T21:26:53 | 252,112,025 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 21,912 | py | import serial
import time
import csv
import matplotlib
matplotlib.use("tkAgg")
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from PyQt5 import QtCore, QtGui, QtWidgets
from mplwidget import MplWidget
from threading import Thread
import ctypes
import pandas as pd
import serial.t... | [
"noreply@github.com"
] | nicolasmarat9.noreply@github.com |
4fd5d0b3cf69ec3401158708578acd35b429b996 | 242f1dafae18d3c597b51067e2a8622c600d6df2 | /src/0000-0099/0005.manacher.py | fb347e485f03f4f36cd8545c32505243e8a5b10e | [] | no_license | gyang274/leetcode | a873adaa083270eb05ddcdd3db225025533e0dfe | 6043134736452a6f4704b62857d0aed2e9571164 | refs/heads/master | 2021-08-07T15:15:01.885679 | 2020-12-22T20:57:19 | 2020-12-22T20:57:19 | 233,179,192 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,377 | py | class Solution:
def longestPalindrome(self, s: str) -> str:
"""Manacher Algorithm.
"""
n = 2 * len(s) + 1
# augmented s with #
ss = lambda s, i: s[(i - 1) // 2] if i % 2 else '#'
# c: center of palindrome with rightmost position
c = 0
# r: right of palindrom with rightmost position
... | [
"gyang274@gmail.com"
] | gyang274@gmail.com |
bc576f8ef94ce910cccb8942737b54d6b3bf8daa | c071eb46184635818e8349ce9c2a78d6c6e460fc | /system/python_stubs/1336907795/Scripts/_testbuffer.py | 706a5b806e0bdf4a96417ae23fce495550448982 | [] | no_license | sidbmw/PyCharm-Settings | a71bc594c83829a1522e215155686381b8ac5c6e | 083f9fe945ee5358346e5d86b17130d521d1b954 | refs/heads/master | 2020-04-05T14:24:03.216082 | 2018-12-28T02:29:29 | 2018-12-28T02:29:29 | 156,927,399 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,549 | py | # encoding: utf-8
# module Scripts._testbuffer
# from C:\Users\siddh\PycharmProjects\Introduction to Python\.idea\VirtualEnvironment\Scripts\_testbuffer.pyd
# by generator 1.145
# no doc
# no imports
# Variables with simple values
ND_FORTRAN = 4
ND_GETBUF_FAIL = 64
ND_GETBUF_UNDEFINED = 128
ND_MAX_NDIM = 128
ND_PI... | [
"siddharthnatamai@gmail.com"
] | siddharthnatamai@gmail.com |
d6285ad479fd73931af9354c270848582cab80b4 | d3b829dc03641fba2a57c816891a021ab7d5b505 | /fluent_contents/migrations/0001_initial.py | d713326b77ede1588edb67715503f41e8d68659b | [
"Apache-2.0"
] | permissive | django-fluent/django-fluent-contents | 7af8c0782f1e99832cae6c4f1ed3d99e72097199 | 5577567303d29b56fd48128c22c7dc5d8b2c7476 | refs/heads/master | 2023-02-21T01:44:34.935089 | 2021-11-17T08:55:16 | 2021-11-17T08:58:26 | 3,145,163 | 84 | 18 | Apache-2.0 | 2023-02-15T20:50:09 | 2012-01-10T12:54:57 | Python | UTF-8 | Python | false | false | 4,207 | py | import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [("contenttypes", "0001_initial")]
operations = [
migrations.CreateModel(
name="ContentItem",
fields=[
(
"id",
... | [
"vdboor@edoburu.nl"
] | vdboor@edoburu.nl |
0411ebaf80ddf8ce1148e6e61434439b0e02038f | 22c44f797b76966ca40ca64e53001992c48bee3f | /myenv/blog/models.py | be9cfd1582baa7d989e1f6db2ea22565c5b371d0 | [] | no_license | itzelmoon/my-first-blog | a3da59e5340dc7b370e554af112d990401c4b3a7 | 447cdad1403b1773822a7c1a15ee0feb7d45b4f1 | refs/heads/master | 2021-01-10T10:24:03.463913 | 2016-02-27T20:33:04 | 2016-02-27T20:33:04 | 52,683,269 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 573 | py | from django.db import models
from django.utils import timezone
class Post(models.Model):
author = models.ForeignKey('auth.User')
title = models.CharField(max_length=200)
text = models.TextField()
created_date = models.DateTimeField(default=timezone.now)
published_date = models.DateTimeField(bla... | [
"itzelmoon10@gmail.com"
] | itzelmoon10@gmail.com |
5c466cc7c955839e188762702b289ea2c19c3c63 | 32e62bcae835e1d53c72640c5ca538fd44d0ca2f | /class3/food/models.py | b5c7adf49002530676d7dcec6ed50afab1b2c4a1 | [] | no_license | ricomoss/july-2015-django-class | f993115202a3157526b1a3a0b01a51150f6ba4ba | 9c6f2330cd4ff31e6d2b51c98b4783d2a77de0ff | refs/heads/master | 2021-06-13T09:10:41.504217 | 2017-07-05T16:49:20 | 2017-07-05T16:49:20 | 38,569,199 | 4 | 4 | null | 2017-07-05T16:49:21 | 2015-07-05T12:59:42 | Python | UTF-8 | Python | false | false | 419 | py | from django.db import models
from food import constants
class Item(models.Model):
name = models.CharField(max_length=255)
portion_in_grams = models.IntegerField()
calories = models.IntegerField()
food_type = models.CharField(
max_length=255, choices=constants.FOOD_TYPE_CHOICES)
class Meal(m... | [
"rico@neutroninteractive.com"
] | rico@neutroninteractive.com |
71f4da9bf76d7ce5423fa13168d3894bf54d0327 | e41e9f412d44ff29a583795a598e41e003dd97b5 | /venv/bin/easy_install3 | b6da6e7097a1f65199a427be5f19a5af94b7b030 | [] | no_license | heejung-gjt/DataAnalysis | 1269244f59801f721481a63c368fc77f3bff2b47 | a8a7394f0c85cb68d22e74b4556f0d8bb57289d8 | refs/heads/master | 2023-07-07T15:54:26.823158 | 2021-08-06T09:45:36 | 2021-08-06T09:45:36 | 326,552,875 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 278 | #!/home/heejung/Desktop/github-upload/DataAnalysis/venv/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from setuptools.command.easy_install import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"hee_9803@naver.com"
] | hee_9803@naver.com | |
bd7ba2fb279054a1e1286343fd1c9120d95b8a62 | 2b6c5e7a809092b2af4fec38b73d93b478df3510 | /Solved-Problems/problem008.py | 398eaeba49c2145d9a2c3f17e4239c7c57161173 | [] | no_license | VeraJulian/Project-Euler | 9d1d0e34af3902d887fa101b06ecaf49843c7c57 | c9acfc09ca467bf987dd38a67176c04c29d71fbf | refs/heads/master | 2020-06-26T18:44:25.812972 | 2016-08-23T04:10:05 | 2016-08-23T04:10:05 | 66,316,118 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,363 | py | #real 0m0.046s
#user 0m0.025s
#sys 0m0.013s
# Finds the thirteen adjacent digits in the 1000-digit number that have the
# greatest product
s = "731671765313306249192251196744265747423553491949349698352031277450632623957831801698480186947885184385861560789112949495459501737958331952853208805511125406987471585238630507... | [
"noreply@github.com"
] | VeraJulian.noreply@github.com |
82a744b8e16c95cc45709d1f8a55ecdc0eccd7bd | 82573ac683d257c33e6938281cc2ff34998eb836 | /server.py | 0b2295036f9374907edc2d58b9309a9d9d081fb5 | [] | no_license | MuhammadHamzaAmir/Multi-Server-Client-File-Sharing-System | 31bb17a377b97078c996e07f295f55d854498ec0 | 0c92a71fd4b26bc40194abb603532ea590aebb4d | refs/heads/main | 2023-02-08T17:52:49.140148 | 2020-12-21T17:16:59 | 2020-12-21T17:16:59 | 323,394,895 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 37,308 | py |
import socket
import threading
import time
import os
import sys
import shutil
#An append function which takes data from one list and append it to other list
def list_append(to_append,from_list):
for i in range(len(from_list)):
to_append.append(from_list[i])
#Function to append data from a ... | [
"noreply@github.com"
] | MuhammadHamzaAmir.noreply@github.com |
e7567675022bdbdfd9b443dd0209766b03578342 | 9f2ea36883c5fbd2b96132917e4939d5f99de400 | /flask_mongo_profiler/contrib/flask_admin/formatters/lookup.py | c500c2d56a60f9c56a9b70753024b9727317fc00 | [
"MIT"
] | permissive | eduflow/flask-mongo-profiler | 80803111e1c4e5a817401d1339571c8475c9b84c | a267eeb49fea07c9a24fb370bd9d7a90ed313ccf | refs/heads/master | 2023-05-27T01:58:24.860787 | 2018-12-15T21:16:57 | 2018-12-15T21:18:54 | 154,967,856 | 0 | 0 | MIT | 2023-05-22T21:35:44 | 2018-10-27T13:31:26 | Python | UTF-8 | Python | false | false | 1,265 | py | # -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
from flask import Markup
from ..helpers import get_list_url_filtered_by_field_value
def search_field_formatter(view, context, model, name):
filter_url = get_list_url_filtered_by_field_value(view, model, name)
filter_applied = F... | [
"tony@git-pull.com"
] | tony@git-pull.com |
4e4334450f22bbbdb6cbd28d91bea30372bf64eb | 8fa938eddcc75eb7dff1f2055c49cb3817a00c63 | /String/ex49.py | 60dfa2055e3999b694cd7c97f3c9dca529ba9fc5 | [] | no_license | jayhebe/w3resource_exercises | f27109759d112b0611574aa70eb378ace447c2a0 | b29aa7c806f6021a8988e83bb9f674522a41380d | refs/heads/master | 2020-05-07T09:23:24.039271 | 2020-01-30T15:05:06 | 2020-01-30T15:05:06 | 180,374,062 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 148 | py | def get_vowels(char_str):
return [ch for ch in char_str if ch in "aeiouAEIOU"]
if __name__ == '__main__':
print(get_vowels("w3resource"))
| [
"jayhebe1983@sina.com"
] | jayhebe1983@sina.com |
36c0c6e123ff29ee4a375e881e4ed7a2da29f0f8 | fab35d1ed2185139aafa5b79880504912469b1f7 | /tests/test_providers.py | ab218832918b09e2410cc07f9e2d43aa481758f1 | [
"MIT"
] | permissive | gitter-badger/skosprovider | 3de269a63a78bdf314a9282e41708fa86234e142 | 01dbaba99fb0fc5cd14752bc6560564fc4405c65 | refs/heads/master | 2021-01-14T11:25:27.269559 | 2016-05-19T20:46:04 | 2016-05-19T20:46:04 | 59,283,197 | 0 | 0 | null | 2016-05-20T09:42:47 | 2016-05-20T09:42:47 | null | UTF-8 | Python | false | false | 27,792 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import unittest
import warnings
import os
import csv
from skosprovider.providers import (
DictionaryProvider,
SimpleCsvProvider
)
from skosprovider.skos import (
Concept,
Collection,
ConceptScheme,
Note
)
larch = {
'id': ... | [
"koen_van_daele@telenet.be"
] | koen_van_daele@telenet.be |
c9cb7bf67807ee15b47121245c5adc77aae2ad5c | b7ced519161dbda1fdceceeb0d8b93980e982eaa | /nnt/store/rdb.py | f17bcfa413452b39f0426b4ad345265abbaebfe5 | [] | no_license | wybosys/nnt.logic.py | 4a17911778a28b30c67aa59460c47fb2e55d65a7 | c8f60b8bc1ce25fd45ea695809e736c74a6b3595 | refs/heads/master | 2023-04-30T09:38:08.507024 | 2020-04-29T07:20:14 | 2020-04-29T07:20:14 | 248,126,563 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 624 | py | from nnt.store.proto import FieldOption
from nnt.store.store import AbstractDbms
class AbstractRdb(AbstractDbms):
def compareFieldDef(self, my: FieldOption, tgt) -> bool:
"""比较字段定义和手写定义是否有变化"""
pass
def FpToRelvDefType(fp: FieldOption) -> str:
if fp.string:
return "char(128)" if fp.... | [
"wybosys@gmail.com"
] | wybosys@gmail.com |
dc14a29bcda6ecf3a3ee593ade7e2abd02a6a5af | 1160830f2cd0a4478e1777b857436b052d347184 | /bfs_sample.py | 8bdba676afa54f884b53226ad8189bc3595adeec | [] | no_license | stefsy/khan-algo-python | b52cbc1c4185a26218292e58bbf46557ef877b1f | b0e9438702c44fd6739028d81167883afad0d2ce | refs/heads/master | 2021-01-22T23:37:32.662329 | 2015-07-08T23:08:00 | 2015-07-08T23:08:00 | 33,344,812 | 0 | 0 | null | 2015-05-21T16:56:48 | 2015-04-03T03:41:18 | Python | UTF-8 | Python | false | false | 1,661 | py | '''
Breadth-first Search:
Learn how to traverse a graph using breadth-first-search
to find a particular node or to make sure you've visited
all the notes, traversing one layer at a time.
https://www.khanacademy.org/computing/computer-science/algorithms/breadth-first-search
'''
class Queue(object):
def __in... | [
"steffiy@gmail.com"
] | steffiy@gmail.com |
4866533813b4833e66898cd9b0a57458874987cf | b2fea1a385f8107e8fbd02bf648cccf142572692 | /books/migrations/0002_auto_20180407_1337.py | 49a2a337134dbf40f80242b05abf95e51a927371 | [] | no_license | xzp1990/readit | b7bef99cc75c5288cd86c6a1cd29bfce0f2f45c8 | 915e238c0b6c2f2699fc1c408295ffae1afacb67 | refs/heads/master | 2020-03-09T18:57:58.893120 | 2018-04-12T07:06:22 | 2018-04-12T07:06:22 | 128,945,791 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,023 | py | # Generated by Django 2.0.4 on 2018-04-07 13:37
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('books', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Author',
fields=[
('id', mod... | [
"jason@Jasons-MacBook-Pro.local"
] | jason@Jasons-MacBook-Pro.local |
82563986fedbe023a78ab1cfba06ab903935afe6 | b52874ff7d4ce4deb83bcab09284202175d6b86a | /pytorch/iris.py | 91017c82c4f1f9ca803bedc1d996e88f249639a0 | [] | no_license | hichoe95/Iris-classification | e42d7688e29af43572493b328add4b5d9df8954c | e842b5041be249412cb414b9017ba8776a947816 | refs/heads/master | 2020-03-20T02:05:06.918809 | 2018-06-12T16:48:11 | 2018-06-12T16:48:11 | 137,098,917 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,371 | py |
# coding: utf-8
# In[1]:
import numpy as np
import matplotlib.pyplot as plt
import os
import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
from __future__ import print_function
import os.path
import torch.nn.parallel
from PIL import Image
import PIL
import random
to... | [
"noreply@github.com"
] | hichoe95.noreply@github.com |
ca50d5c0b3ea5f81ac562cfcff11bb34f930b10e | 95c2de9482503c59aef57a9ef58fc450b36d8fa1 | /MTRApp/manage.py | 9192d6b96ab4d9007e724e9dff2b90bacb6b5d17 | [] | no_license | doshig/Maintenance-Request-App | 6a92f6e83116814eee0455fc67988eb5e81c69a4 | 9b49827b426841873760a1b9e45e5fb6aae4bbaa | refs/heads/master | 2022-04-09T17:23:35.813562 | 2020-03-16T22:04:28 | 2020-03-16T22:04:28 | 241,707,764 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 626 | py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'MTRApp.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportE... | [
"61166587+doshig@users.noreply.github.com"
] | 61166587+doshig@users.noreply.github.com |
6ed3906bb0a8b1f0255d94410bc218f2908f1b60 | 06df11884149bbf883958e084eac23112baf3389 | /system_tests/workflow/test_end_to_end.py | 4d9330d1174d802152937e3b6033130033f44e4e | [
"Apache-2.0"
] | permissive | guruprasad89/data-attribute-recommendation-python-sdk | 60a9d95822ea1ef4f71792a1c82ea379a024e9ec | b3c6692d710ebe271d7c32ee5e0e704a6be641ff | refs/heads/main | 2023-07-28T08:43:27.684584 | 2021-06-28T09:09:55 | 2021-06-28T09:09:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,657 | py | import logging
import uuid
from io import BytesIO
import pytest
from sap.aibus.dar.client.data_manager_client import DataManagerClient
from sap.aibus.dar.client.exceptions import DARHTTPException, ModelAlreadyExists
from sap.aibus.dar.client.inference_client import InferenceClient
from sap.aibus.dar.client.model_mana... | [
"michael.haas01@sap.com"
] | michael.haas01@sap.com |
4948525db640c3afa56c893152d7fbc5df066d6a | ca3b5c1a507224a32655c5434116486a200f09ee | /bank/details/migrations/0004_auto_20190830_1606.py | 1cc9198d62c6668269e5c1f863b907c8f2e0bc42 | [] | no_license | abhishek510/django_psql_jwt | 0ab2045e104daa42fe7b61652f0e047737a7bf4c | 18565cbdbd2d163e3516ea8f3728eb5a7559eb47 | refs/heads/master | 2020-07-16T06:32:25.997180 | 2019-09-03T18:19:23 | 2019-09-03T18:19:23 | 205,738,374 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 470 | py | # Generated by Django 2.2.4 on 2019-08-30 16:06
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('details', '0003_auto_20190830_1541'),
]
operations = [
migrations.AlterField(
model_name='branc... | [
"abhishekdwi.05@gmail.com"
] | abhishekdwi.05@gmail.com |
fd2e8c27abaefe51e09b3162135a53f569c2aeda | f2ebc38c206d74248322121a2291c4138716b10b | /NE_metodi/AES.py | 01aeea9a4fd1b15137ce637fd9355cdaf81b5781 | [] | no_license | vermutsk/Laborator | 6453bd1e8cbc982b39f000d01151d202afafa126 | 8568c0e79c7a575a463fc8223207daedc8dd159a | refs/heads/master | 2023-08-24T20:29:33.027604 | 2021-10-07T10:40:37 | 2021-10-07T10:40:37 | 249,997,827 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 1,361 | py | import pyAesCrypt
import os
import random
import time
def remove_file(file: str):
os.remove(file)
def AES_encrypt(file_txt: str, key: str, buffsize=512 * 1024):
# 1. Файл который шифруется,
# 2. Ключ по которому шифруют,
# 3. (Стандартное значение 512 * 1024) Буфер
file_aes = file_txt + '.aes' ... | [
"62577988+vermutsk@users.noreply.github.com"
] | 62577988+vermutsk@users.noreply.github.com |
9da71e19c2b4adda4b23d39ab1da9b6548f57442 | 73959ef3218f846c56252a8ab9d8da834115f650 | /2021/12.py | a5176cd4a87e313c69ff67ac27e917455ec1f577 | [] | no_license | domino14/advent_of_code | 2ada78491522affc9db4e13e07314e3cb82f8b8d | 322780953819399287cd04968564ae2bc4ed6933 | refs/heads/master | 2021-12-24T02:55:53.319679 | 2021-12-20T02:22:06 | 2021-12-20T02:22:06 | 160,305,524 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,714 | py | input = open("./12/input.txt", "r").readlines()
class Cave:
tp: str
def __init__(self, name):
self.tp = "small"
if name.lower() != name:
self.tp = "big"
self.name = name
self.caves = []
self.visit_count = 0
def connect(self, c):
self.caves.app... | [
"delsolar@gmail.com"
] | delsolar@gmail.com |
d25cf7ac80ad6f989933087108b9db9f3b219e3f | 0b4f5336fc9dc521b69d7e02b09cb6eb498f09cf | /vendor/src/github.com/Workiva/go-datastructures/fibheap/Test Generator/EnqDeqMin.py | a7ae1ecbbd90f7712ac07a0b6ff5086cb4938048 | [
"Apache-2.0"
] | permissive | opsgang/amazon-ssm-agent | e689c745b459f14300be2682a32e4624cbc30834 | fb693b1f5ceaf24d58d8cabc484816da417ed4ab | refs/heads/released | 2021-05-10T13:02:22.763699 | 2018-04-10T16:04:20 | 2018-04-10T16:04:20 | 118,457,012 | 6 | 0 | Apache-2.0 | 2018-01-23T15:22:55 | 2018-01-22T12:55:00 | Go | UTF-8 | Python | false | false | 137 | py | #!/usr/bin/python3
import random
l = []
for i in range(20):
l.append(random.uniform(-1E10, 1E10))
print(l)
l = sorted(l)
print(l)
| [
"kaporahu@amazon.com"
] | kaporahu@amazon.com |
4cd053901e1f43dd183c51997634cdb21b4fe02c | eef0f198cef4b07aa326b6fa0cba0d6a581286f2 | /Other_Tools/Additional_Tools/FindTopazEbooks.pyw | e39025ba9bafbaa72165d1bb5ca1cb2774b6746d | [] | no_license | xiangbin1997/dedrm-ebook-tools | ea1ee24c630dce488da003b108215af1c6484576 | af856f53afb7fb22699cabbee216477da0752335 | refs/heads/master | 2021-01-18T05:53:26.416286 | 2012-11-27T23:59:42 | 2012-11-27T23:59:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,657 | pyw | #!/usr/bin/env python
# This is a simple tool to identify all Amazon Topaz ebooks in a specific directory.
# There always seems to be confusion since Topaz books downloaded to K4PC/Mac can have
# almost any extension (.azw, .azw1, .prc, tpz). While the .azw1 and .tpz extensions
# are fairly easy to indentify, the othe... | [
"larry@johnmcneilstudio.com"
] | larry@johnmcneilstudio.com |
91585dc4d371d2b44523db73b029a995cd696dab | 0cdf52f3538ca0d29b2355d9818e0b82be18b0ff | /backend/flaskr/__init__.py | 448a1773f947ee62e8ee9e95ef00aa6cecfb61ba | [] | no_license | GeorgeNady/trivia_api | 17672609f516575ea59a332d93fb48424db9ab7d | 6d6fd523e6370fdc3c382ad51806b391c155fccc | refs/heads/main | 2023-01-18T19:14:02.867166 | 2020-11-14T03:47:15 | 2020-11-14T03:47:15 | 312,399,551 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,235 | py | import os
from random import randint
from flask import Flask, request, abort, jsonify
from flask_cors import CORS
from models import setup_db, Question, Category
QUESTIONS_PER_PAGE = 10
def create_app(test_config=None):
"""
:return app
"""
# create and configure the app => DONE
app = Flask(__name... | [
"gorgonady.gn@gmail.com"
] | gorgonady.gn@gmail.com |
208a3e68e166652ef046f1d0036157b125c2e29e | f17193a6a6199e68dc2214b66851274cf2edd9b3 | /jenkins/scripts/query-zanata-project-version.py | b29795ac9c16906766dd2ba3272cc79b37d502f6 | [
"Apache-2.0"
] | permissive | yujunz/project-config | 7c7b780effb95682a79cb17dfc36719542bf49a7 | aa0c999b2ad1206bfea194ba600550cdcd474248 | refs/heads/master | 2021-01-21T03:09:47.622368 | 2016-07-19T08:19:59 | 2016-07-19T08:19:59 | 63,739,840 | 1 | 0 | null | 2016-07-20T01:28:22 | 2016-07-20T01:28:22 | null | UTF-8 | Python | false | false | 1,866 | py | #!/usr/bin/env python
# Copyright (c) 2015 Hewlett-Packard Development Company, L.P.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | [
"steven@wedontsleep.org"
] | steven@wedontsleep.org |
8fd540a6f790c9d55de0ef299e13487739a175d3 | 41bcb2bd77b0bed67ebb10baaa803b1be177e6ef | /Bot_new_gorilla.py | b0b8c9eb95183d69f381dd5e1d07e5a962b5c99d | [] | no_license | jkeegeda/botforbot | 14d70ee9e3b76b629a01cd10f3b6e65f92fd9b96 | 8dc8a670f6aacc71b7366fe189bef199890ce1ff | refs/heads/master | 2021-07-13T04:18:07.804407 | 2020-11-14T08:39:57 | 2020-11-14T08:39:57 | 220,711,642 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,903 | py | from vk_api.longpoll import VkLongPoll, VkEventType
from threading import Thread
import vk_api, random, time, os
mytokenvk = os.environ.get('BOT_TOKEN_VK')
vk_session = vk_api.VkApi(token=mytokenvk)
longpull = VkLongPoll(vk_session)
vk = vk_session.get_api()
def answer():
while True:
for event in longpul... | [
"noreply@github.com"
] | jkeegeda.noreply@github.com |
2080504d10c9b09bfbe3577eb1c24ad13d48342d | d08319731fe8310bd3faf70763fc6fc893ddf49e | /wscript | 9328e7e73d12a35ce4d2e858d357f0ae7ee2afac | [] | no_license | philipp-97/aml-cINN | 71fce48aa06cef389b33433a3fa181245b160647 | 8e9493abb258ff5ad6042d14ad3ecd9a1e266ffb | refs/heads/master | 2023-08-05T18:21:21.973449 | 2021-09-26T10:17:05 | 2021-09-26T10:17:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 516 | from os.path import join
from waflib.extras.test_base import summary
from waflib.extras.symwaf2ic import get_toplevel_path
def depends(ctx):
ctx("freia")
def options(opt):
pass
def configure(cfg):
cfg.load("python")
cfg.check_python_version()
def build(bld):
bld(name="aml-cinn",
sour... | [
"philipp.dauer@kip.uni-heidelberg.de"
] | philipp.dauer@kip.uni-heidelberg.de | |
057c6fe3892f100ee64568dbb71cd1ed6043afa0 | d7f3d42ad667fcb533be2e36474b0aa850ad855e | /usermessages/forms.py | c6c63474e3d51319e70dbaa86787c588b772d075 | [] | no_license | jovianch/lnpoint-webdev | eb6db78e631b34bff0003fbc2e77e531c8c539b7 | 8acaf0aea00015a38720c0d2e50878a02ef07def | refs/heads/master | 2022-12-08T19:28:54.918144 | 2018-04-24T05:20:22 | 2018-04-24T05:20:22 | 130,716,125 | 1 | 0 | null | 2022-11-22T01:57:01 | 2018-04-23T15:15:01 | CSS | UTF-8 | Python | false | false | 356 | py | from django import forms
from .models import UserMessage
class ChatUserMessage(forms.ModelForm):
message = forms.CharField(required=True, widget=forms.TextInput(attrs={'class':'form-control form-chat','placeholder':'Enter messages here...'}))
class Meta:
model = UserMessage
fields = (
... | [
"christiantojovian@gmail.com"
] | christiantojovian@gmail.com |
37622bd384cc377d31cf52cceba87131abd2c22f | 054f03640ea7598b8d623fa604c691c7526c19e7 | /extra_foam/pipeline/tests/test_data_model.py | dde2d4e18c5425922fa66e37b72f0efc1681b9a1 | [
"BSD-3-Clause"
] | permissive | zhujun98/EXtra-foam | ef1298f026c08b9d83464a84106c612fbfbe000f | 680d6d7fd4afdcbc41eb8e440feac54b6cecab33 | refs/heads/master | 2021-07-25T20:18:17.736460 | 2020-07-31T15:46:47 | 2020-07-31T15:46:47 | 224,394,172 | 0 | 0 | BSD-3-Clause | 2019-12-04T10:21:56 | 2019-11-27T09:32:38 | Python | UTF-8 | Python | false | false | 15,441 | py | import unittest
from unittest.mock import patch
import numpy as np
from extra_foam.pipeline.data_model import (
PulseIndexMask, MovingAverageArray, MovingAverageScalar,
ImageData, ProcessedData, RawImageData
)
from extra_foam.config import config
class TestMovingAverageScalar(unittest.TestCase):
def tes... | [
"zhujun981661@gmail.com"
] | zhujun981661@gmail.com |
2f6e18a5f4ba8b0456377676821bca0328fe208c | 8311a0bcf3f2126d622f928483ce2ea9d6a7cb0d | /Code/Matthew/python/bogosort.py | 8a5e8b1541f2a5351db02b7bfa5859e5544947c6 | [] | no_license | guam68/class_iguana | 857247dca0ff732d11f7fb0d3dc761ec83846c94 | e4359d32dfe60423a643c21df5636669016ad2c0 | refs/heads/master | 2020-05-01T06:33:22.611127 | 2019-03-13T23:07:41 | 2019-03-13T23:07:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,570 | py |
# import random
# def bubble_sort(nums):
# for i in range(len(nums)):
# for j in range(len(nums)-1):
# if nums[j] > nums[j+1]:
# nums[j], nums[j+1] = nums[j+1], nums[j]
#
# nums = [random.randint(0,99) for i in range(100)]
# print(nums)
# bubble_sort(nums)
# print(nums)
impor... | [
"flux2341@gmail.com"
] | flux2341@gmail.com |
88f7a209509eee437b97371628877ef2229a7e87 | e94a93ca440afd1588074c234742aa6d3f4a97ef | /version_1/src/classes.py | c1959f065f21688d0c1f7f0ed4fab0bf9309fb9d | [] | no_license | MarlonCorreia/search-challenge | b269d2b8eb579697e931992746e11f34064353b8 | 668d8e2c2db983fe4899d0659877cf98a441e8c1 | refs/heads/master | 2023-02-02T12:28:02.462791 | 2020-12-19T20:42:57 | 2020-12-19T20:42:57 | 312,433,548 | 0 | 0 | null | 2020-11-25T18:01:43 | 2020-11-13T00:48:28 | Python | UTF-8 | Python | false | false | 2,648 | py | import json
import re
from collections import Counter
class Catalog():
"""
This is data abstraction for a catalog of products, it consists in a dict:
{
productId:{
"name": productName
},
}
"""
products = {}
def __init__(self, ):
pass
def g... | [
"malilocsimas26@gmail.com"
] | malilocsimas26@gmail.com |
cdfbde7eb4da01a71e8c30befffd45d0aef0586b | 0132a327e3324830770980ecdee525884e3f6191 | /PaddleNLP/dialogue_model_toolkit/dialogue_general_understanding/scripts/build_atis_dataset.py | 2dafb1bc7feb0ea5ae332dd4151d558f12afa2a9 | [
"Apache-2.0"
] | permissive | wawltor/models | 50dab0058245008a088ed2a7b42d5957dc77305b | 25fe892e02a7117ec62d90839ec3df4f5019cef9 | refs/heads/develop | 2021-06-18T08:56:49.944493 | 2019-04-29T03:49:41 | 2019-04-29T03:49:41 | 184,034,821 | 3 | 0 | Apache-2.0 | 2021-01-06T08:16:57 | 2019-04-29T08:50:38 | Python | UTF-8 | Python | false | false | 5,792 | py | # Copyright (c) 2018 PaddlePaddle Authors. 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 required by appli... | [
"noreply@github.com"
] | wawltor.noreply@github.com |
19d84cb48523b1f33dfbbc80555e822ae0d9177b | 9cfdfe633dfb2755955f9d356fdd0a9601089955 | /account_auth/tests/test_veiws.py | cc19cd637b9384f9d338cf62d7f16a79d4b53583 | [] | no_license | DimAntDim/ResumeBuilder | cec597ba4b857d98147e2f5f6831bd3c93c83c80 | 0507d5d9c44936d892df280015f7c6d8e630f55b | refs/heads/main | 2023-08-21T08:03:43.327868 | 2021-11-03T19:43:04 | 2021-11-03T19:43:04 | 394,882,643 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,701 | py | from account_auth.forms import RegisterForm
from django.contrib.auth import get_user_model
from django.test import TestCase
from django.urls import reverse
UserModel = get_user_model()
class RegisterViewTest(TestCase):
def test_register_render_template(self):
response = self.client.get(reverse('register'... | [
"66394357+DimAntDim@users.noreply.github.com"
] | 66394357+DimAntDim@users.noreply.github.com |
a9010a2cd673f6b8d99acd4fbeb2029ddfcb8d02 | 9fbc35cb7e6502a56067bed8ceb0f914a227c33c | /网络编程/6.py | d0628ea7939af67549a7e1d67c667ef216e9709d | [] | no_license | 1930609129/all | 3ef968202d8857c744ae92d24c85cb1bfdcb6ab8 | 53be9da6bffb5b657092cd971d0115c62dfdc9ce | refs/heads/main | 2023-08-24T19:31:25.423420 | 2021-09-19T09:57:28 | 2021-09-19T09:57:28 | 396,636,077 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 448 | py | # -*- coding:utf-8 -*-
import socket
import hashlib
import time
def m(md5,ran):
md = hashlib.md5(md5)
md.update(ran)
rs = md.hexdigest()
return rs
def c(con):
while True:
con.send('hh'.encode('utf-8'))
msg=con.recv(1024).decode('utf-8')
print(msg)
time.sleep(0.5)
s=s... | [
"1930609129@qq.com"
] | 1930609129@qq.com |
e6171d3c11f9f2f56638bb0d772a84871d827406 | ec61e7a23c34a53e9152f060d36118a58696b791 | /henderson.py | b5a259b9b90b6544fe0c876729979bd908b214a5 | [] | no_license | suzennn/collab_work | 91d097787360875208513c7e4d8c1bd69492e4ab | de30fe2d4b10ff261f05f86b9dee5445f8f41fc8 | refs/heads/master | 2020-07-08T02:07:27.834321 | 2019-08-21T10:11:37 | 2019-08-21T10:11:37 | 203,536,217 | 0 | 1 | null | 2019-08-21T10:11:38 | 2019-08-21T08:02:18 | Python | UTF-8 | Python | false | false | 17 | py | hi from henderson | [
"hendersonteow@Hendersons-MacBook-Air.local"
] | hendersonteow@Hendersons-MacBook-Air.local |
84e97a270236c3c3a811761bb082bcd9707afcd1 | 79d87e1c5c1d07d52f4ab73feae3d68ce476815d | /simulator/player.py | c666f34553d19fbdc6e957ce198b5ff3c2cf54e9 | [
"MIT"
] | permissive | Zahidsqldba07/SpringChallenge | 7bf1802e555a23376bc4b989e6b7abea3f0d480c | 20a315182439f322ba1b2e5c0af0f22f1d0ba7ee | refs/heads/main | 2023-04-21T06:49:35.917088 | 2021-05-15T16:20:40 | 2021-05-15T16:20:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 987 | py | import abc
from dataclasses import dataclass
from enum import Enum
from action import Action
from evnets import TurnEvent
from game_state import GameState
import multiprocessing as mp
from hex import HexCoord
class AlgoBase(abc.ABC):
def __init__(self, player_id):
self.player_id = player_id
@abc.ab... | [
"tentaclehorn@gmail.com"
] | tentaclehorn@gmail.com |
0797c311f47d452f7d067ce093d1a6ac6666d7b9 | d178ecd2d3511fcd98aca731ada1aa0fec0e15a1 | /prog_count/grader.py | dca9b796081c90aeae9a3b3000b81e8f76932a68 | [] | no_license | 0xBADCA7/easyctf-iv-problems | 165cca68e2bad788604dab4b15c644e994c7fa85 | 7037fe557df97cd85b3eada672ef44a356236522 | refs/heads/master | 2020-08-13T21:16:26.114580 | 2018-02-21T06:15:40 | 2018-02-21T06:15:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 239 | py | from itertools import combinations as comb
n, s = map(int, input().split())
nums = [int(u) for u in input().split()]
t = 0
for i in range(1, len(nums) + 1):
for c in comb(nums, i):
if sum(c) == s:
t += 1
print(t) | [
"failed.down@gmail.com"
] | failed.down@gmail.com |
d366f4ee1394c250a4ec05d817262f7d60cf211c | 639194c45587d5fc539da4d385c1e4cbfe93d371 | /Tree/descision tree2.py | 11ac97dc56120046fd832b4f86eaa6c2471c8e89 | [] | no_license | ZHasaral/DataAnalys | 5cd26c5b99e27da5fbb440f002d9ce61569258ae | 0afb80301dc1efde2c74c231ba90221a1023b1bd | refs/heads/master | 2022-11-03T11:44:25.929030 | 2018-05-01T13:01:17 | 2018-05-01T13:01:17 | 121,307,393 | 0 | 1 | null | 2022-10-10T01:55:11 | 2018-02-12T21:59:38 | Python | UTF-8 | Python | false | false | 504 | py | from sklearn import tree
get = tree.DecisionTreeClassifier()
#подготовка = 0,1,2
#сложность(легкий, сложный) = 0,1
# не готов,готов= 0,1
x= [[1,1,0],[0,1,1],[2,1,0],[1,0,0],[1,0,1],[0,1,1],[2,0,1]]
y=['fail','pass','pass','pass','pass','fail','pass']
get = get.fit(x,y)
result = get.predict([[input("Введите уровень п... | [
"zhasaralture@gmail.com"
] | zhasaralture@gmail.com |
8f425fd16f7d5aded1fbfb08578f898f5cecf18f | 5da5473ff3026165a47f98744bac82903cf008e0 | /packages/google-cloud-alloydb/samples/generated_samples/alloydb_v1beta_generated_alloy_db_admin_generate_client_certificate_async.py | f1d54b369e792a9e23c7159b0cbbd6d2a0c78430 | [
"Apache-2.0"
] | permissive | googleapis/google-cloud-python | ed61a5f03a476ab6053870f4da7bc5534e25558b | 93c4e63408c65129422f65217325f4e7d41f7edf | refs/heads/main | 2023-09-04T09:09:07.852632 | 2023-08-31T22:49:26 | 2023-08-31T22:49:26 | 16,316,451 | 2,792 | 917 | Apache-2.0 | 2023-09-14T21:45:18 | 2014-01-28T15:51:47 | Python | UTF-8 | Python | false | false | 1,940 | py | # -*- coding: utf-8 -*-
# Copyright 2023 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"
] | googleapis.noreply@github.com |
4d4049f8223ad64d5195851a8226d1819aa40e2f | 12e504d9ad7086c5429bb55f343e5c8d1dabeff1 | /autobahntestsuite/choosereactor.py | f5b6100142854bdc64319adbaa0a74058b5f3e73 | [] | no_license | andypeker/autobahntestsuite | 4b6bfbb74362c4609965bd86c0c2c7b8e045584e | 16424a1194886a958bc03a3fd574f8bfcce3bac6 | refs/heads/master | 2016-09-06T10:32:48.593031 | 2014-11-26T04:57:05 | 2014-11-26T04:57:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,339 | py | ###############################################################################
##
## Copyright 2011,2012 Tavendo GmbH
##
## 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:... | [
"whyang@DST58428.cn1.global.ctrip.com"
] | whyang@DST58428.cn1.global.ctrip.com |
ba3fafbdca455c58e3ba5d8138948a0d3556a888 | 9c7f04dbc00a4d01eb72c72a066f68240bbb66f9 | /DeepLearningKaggle/digit_reg.py | 20d048143f76edeb6690362aae895e265ed25746 | [] | no_license | b2220333/PyTorch-1 | 84550c3b6e33531596ab811ed0d49591e62abf47 | f08ac81323b487bb0b5d092eef413af1c8eb1c7e | refs/heads/master | 2020-06-05T03:16:35.627199 | 2018-02-19T13:29:33 | 2018-02-19T13:29:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,019 | py | import pandas as pd
import torch
import torch.utils.data as Data
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
import matplotlib.pyplot as plt
# import torchvision
train = pd.read_csv('digits.csv')
test = pd.read_csv('test.csv')
plt.imshow(test.ix[1, :].reshape(28, -1), cm... | [
"jeremy@Jeremys-MacBook-Pro.local"
] | jeremy@Jeremys-MacBook-Pro.local |
5f7225a8bb8465174507e5765718f14c91635f9b | 2d9a3ce2a04190d0032e8a298829022260b1d76b | /indra/databases/biolookup_client.py | a8ac55265ff756883e26106fd0c97136b94d074f | [
"BSD-2-Clause",
"BSD-2-Clause-Views"
] | permissive | sorgerlab/indra | f127a0f9bdd2d3f48df14575883fd31e2f4de4bf | 6d6ca1174792b6c5a05cbf3afcb9f138fabcec6a | refs/heads/master | 2023-08-21T13:25:54.654995 | 2023-06-11T16:46:41 | 2023-06-11T16:46:41 | 22,848,436 | 158 | 61 | BSD-2-Clause | 2023-08-30T21:47:59 | 2014-08-11T17:44:05 | Python | UTF-8 | Python | false | false | 1,316 | py | """A client to the Biolookup web service available at http://biolookup.io/."""
from typing import Dict
import requests
URL = 'http://biolookup.io/api/lookup/'
def lookup_curie(curie: str) -> Dict:
"""Look up a CURIE in the Biolookup web service.
Parameters
----------
curie :
The CURIE to loo... | [
"ben.gyori@gmail.com"
] | ben.gyori@gmail.com |
d3feee41343bafcda28292cf28535527d81b00ab | 2c44a2fa455dec422048170bcdd84aaea3cc23cc | /app.py | db3dc77d98fd850a05f2dae18d04cf4bdc9ba663 | [
"MIT"
] | permissive | aiflow-tech/object_detection_demo | 567f83bfad5b27322b9b70ae43f3b2fbcfbcc0a7 | 7d28f8d4eab0aee3a7b102bcb2cd99e3fc8347be | refs/heads/master | 2021-05-21T14:38:11.362853 | 2020-04-06T09:07:10 | 2020-04-06T09:07:10 | 252,683,505 | 0 | 0 | NOASSERTION | 2020-04-03T09:07:56 | 2020-04-03T09:07:55 | null | UTF-8 | Python | false | false | 372 | py | import wabtec_track
file_name = 'images/Caltrain_01-08-20_Page_2.jpg'
wtt = wabtec_track.WabTecTrack(file_name=file_name)
lines = wtt.get_lines() #gets list of line_track objects
for ln in lines:
print(ln.point_one(), ', ' , ln.point_two())
#print(ln.x1) #can also be accesseds
#only for testing
wtt.draw... | [
"pramuka1995@gmail.com"
] | pramuka1995@gmail.com |
04f06111126887806589e20ae3df08a21ef35dab | 683a90831bb591526c6786e5f8c4a2b34852cf99 | /CodeSignal/Interview/Backtracking/2_WordBoggle.py | 56777e11c7b04f10d9d347dd0cc392adb21fe6d6 | [] | no_license | dbetm/cp-history | 32a3ee0b19236a759ce0a6b9ba1b72ceb56b194d | 0ceeba631525c4776c21d547e5ab101f10c4fe70 | refs/heads/main | 2023-04-29T19:36:31.180763 | 2023-04-15T18:03:19 | 2023-04-15T18:03:19 | 164,786,056 | 8 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,514 | py | import copy
# https://app.codesignal.com/interview-practice/task/v3uf4PGocp2CH62nn/description
# Tag(s): Backtracking, recursion
def print_board(board):
for row in board:
print(row)
deltas = [
(-1, 0), (-1, -1), (-1, 1), (0, -1),
(0, 1), (1, 0), (1, -1), (1, 1)
]
def explore(board, word, i, j, k):... | [
"davbetm@gmail.com"
] | davbetm@gmail.com |
6ea63dca8c810d9d56bcf90041de8915f4ecef95 | 1fd587d717c75965765ba935809238493e44ac4f | /palindromes.py | b6eb69ef67661dd3502eabcc40f04302eda26aea | [] | no_license | tstrait/Unit1Project | 85ea53b9dc12e9847ee075a08592683b89e52966 | 99688af2973b67f8f26bafd19d46c34d51b26457 | refs/heads/master | 2020-03-13T03:05:03.385296 | 2018-04-28T21:47:24 | 2018-04-28T21:47:24 | 130,937,195 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 389 | py | import numpy as np
list1=list(range(100, 1001))
list2=list(range(100, 1001))
c=[]
def multipliers(a,b):
for i in range(len(a)):
for j in range(len(b)):
c.append(a[i]*b[j])
print(c)
def checkpalindrome(a):
d=str(a)
return d==d[::-1]
def combined(a,b):
c.sort()
for i in c[::-1]:
if checkpalindrome(i):
... | [
"testrait@gmail.com"
] | testrait@gmail.com |
acdb10dbfc10d5b825093adbd0d5c5b4567c8628 | f724771deff1ff00d67df3a2e115ed4c0afe9d39 | /tests/models/test_lexical_model.py | 2423773dab33a4e24c793be9f45d8640aea75863 | [
"Apache-2.0"
] | permissive | arunchaganty/obviousli | 6e32cb3dc1c2c91de7b741e8a30a75a0e51ad65f | 56169b8e91ca0b29ce51f3e56646a082a0894e31 | refs/heads/master | 2021-01-24T08:11:48.140536 | 2016-11-30T17:27:45 | 2016-11-30T17:27:45 | 70,012,911 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,332 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
"""
import pytest
from obviousli.defs import State, Truth
from obviousli.models.LexicalModel import LexicalModel
from keras import backend as K
@pytest.fixture
def word_map():
words = "we eat bananas for lunch do n't .".split()
return {word : i for i, word in... | [
"chaganty@stanford.edu"
] | chaganty@stanford.edu |
9a9a5e1a87e823fb31274cc803479e5f9f48c592 | ce76b3ef70b885d7c354b6ddb8447d111548e0f1 | /day_or_point/say_good_work.py | e57f94898800ec38a14522b3b0c3743ae46ef192 | [] | no_license | JingkaiTang/github-play | 9bdca4115eee94a7b5e4ae9d3d6052514729ff21 | 51b550425a91a97480714fe9bc63cb5112f6f729 | refs/heads/master | 2021-01-20T20:18:21.249162 | 2016-08-19T07:20:12 | 2016-08-19T07:20:12 | 60,834,519 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 239 | py |
#! /usr/bin/env python
def use_few_part_over_bad_hand(str_arg):
important_number(str_arg)
print('thing')
def important_number(str_arg):
print(str_arg)
if __name__ == '__main__':
use_few_part_over_bad_hand('great_year')
| [
"jingkaitang@gmail.com"
] | jingkaitang@gmail.com |
3c930ca9812d5d1faf2a6010c6f5b64372be63ef | d677075fca7955cf79cbae02684fabe2344c2b18 | /backend/apps/history_event/migrations/0002_alter_historyevent_end_date.py | 56bf561322401036b5faa5955b9483d9648cca99 | [
"MIT"
] | permissive | AnthonyDeniau/owwned-ril19 | f264f92c2063b26f12217533d3460567ebe483b2 | 3008fd2231fef8c8f5776dc22f5fee2a32e40453 | refs/heads/main | 2023-07-13T13:41:38.279748 | 2021-08-27T14:07:02 | 2021-08-27T14:07:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 389 | py | # Generated by Django 3.2.6 on 2021-08-27 12:58
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('history_event', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='historyevent',
name='end_date',... | [
"anthony.deniau@gmail.com"
] | anthony.deniau@gmail.com |
8137538c751572157b1a44dc0c0f97368389f271 | f9cce83d8259f53686ed545cf301d6e72258ea90 | /mynewproject/mynewproject/settings.py | 2a6d9179c5e65c306eeb698650876c6ff4e54220 | [] | no_license | ir4y/docker-workshop | dc649e53598d9fc237348aab64ccd3b5141bc12e | 9e6f7f2445bf4b4ac1c416f83488a8d840d64db6 | refs/heads/master | 2020-12-24T22:06:12.190270 | 2016-04-22T20:53:22 | 2016-04-22T20:53:22 | 56,765,105 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,123 | py | """
Django settings for mynewproject project.
Generated by 'django-admin startproject' using Django 1.9.5.
For more information on this file, see
https://docs.djangoproject.com/en/1.9/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.9/ref/settings/
"""
import ... | [
"ir4y.ix@gmail.com"
] | ir4y.ix@gmail.com |
1593d481a58f59c3565bff77f0c78a8bdb4a4b6d | 7d2292dd4c0f846ecbeef0c6423deedae2f60aba | /PlotsSuite.py | d9cbb9001ac44bdd79ac10241edcf6a42c07ac07 | [] | no_license | JackNelson/MSDS_Capstone | 854ac73b283ac6b229ea2e213759b63898f39b94 | 11c8711888b7514534863843e7bd5a4c6943ec17 | refs/heads/master | 2021-04-12T09:15:01.215213 | 2018-06-17T14:57:23 | 2018-06-17T14:57:23 | 126,631,912 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,385 | py | import matplotlib.pyplot as plt
import matplotlib.lines as mlines
import numpy as np
import seaborn as sns
import matplotlib.patches
import scipy.stats as stats
from datetime import datetime
plt.style.use('ggplot')
def objectivePercent(df, ax=None, title=''):
#assigning ax variable if not given for plotting
if... | [
"jack.nelson245@gmail.com"
] | jack.nelson245@gmail.com |
6e9e392e85040122ce2005616daa723d88ec1f32 | 7ca7eb242d5c2211bead3039ef8d2271a473bf00 | /ce37.py | 41c15bdb888298e6f6b25ef74b7f8d58ee593eed | [] | no_license | raman934/python-2019 | 613214da5f4215f1db507321d94ac9d29784c126 | ba5cf4e2204349e3bc716d8a7ef68a863d74b547 | refs/heads/master | 2020-06-25T04:12:56.717409 | 2019-10-02T07:33:56 | 2019-10-02T07:33:56 | 199,197,390 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 612 | py | # RG
# 3.14
N = 3
N_new = (N + 1) // 2
num = 0
for i in reversed(range(N_new + 1)):
for j in range(i):
print(" ", end='')
for k in range(i, N_new + 1):
num += 1
print(num, end=' ')
for l in range(i, N_new):
num -= 1
print(num, end=' ')
... | [
"noreply@github.com"
] | raman934.noreply@github.com |
147dbde4578958b7b0ee1e8e38817dfe410366b1 | 0cecd87b7bad3b89955ae0330d9d73e06942dfd7 | /Haskell.py | b2ea5ae82db0efb8881157a338252407c18af2ab | [] | no_license | vapourismo/st3-user | 795d10d8ffd6feb19cca2899987d94feaf9bba46 | f1c91e264cbdedb326abab2e9ca7a46a867d7ba7 | refs/heads/master | 2020-12-24T06:24:12.922604 | 2018-06-15T21:48:06 | 2018-06-15T21:48:06 | 39,160,245 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 351 | py | import sublime
import sublime_plugin
import subprocess
import os.path
class StylishHaskell(sublime_plugin.EventListener):
def on_post_save_async(self, view):
file = view.file_name()
if view.is_scratch() or file[-3:] != '.hs':
return
subprocess.call(
['stylish-haskell', '-i', file],
cwd = os.path.dirna... | [
"ole@vprsm.de"
] | ole@vprsm.de |
7c86fe28c725c6efc14d4551d10001121eb9e2fd | 104be3a746d12b00c73b34e4250723d2d54147c5 | /controller/Battery_Controller.py | 3189a7166630bcf408639152f8f1cf2059cdb47f | [] | no_license | asfrank/AppPerf | 5566945e572b1c1b7f17c3752016caa0706f9ce6 | 29abe4e0311680f2ade719ca1dd53c9ea8552749 | refs/heads/master | 2021-01-03T09:59:12.167006 | 2020-02-12T14:20:30 | 2020-02-12T14:20:30 | 240,031,125 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,808 | py | import os
import time
import csv
import threading
import re
from datetime import datetime
class Battery_Controller():
def __init__(self,json):
self._json = json
list_devices = self._json["Devices"]
for key in list_devices.keys():
device_ip = list_devices[key]["ip"]
... | [
"lishuyu01@qiyi.com"
] | lishuyu01@qiyi.com |
d06678d67dcefc6417a02c2af68296234e4302ae | 466f8dec24f6949c3c650390aac6b4923662c874 | /venv/Lib/site-packages/zmq/log/handlers.py | e4c6a971dc13164772c586865773bddcec50e805 | [] | no_license | CatCoinz/blockchain | 6f2bf2d88e0c375a2e5a372799a5c58f0dcf7063 | 661a63d1033e86e82c247358a53c3ac1ce7d8f18 | refs/heads/master | 2023-08-01T13:53:39.569174 | 2021-09-25T13:51:30 | 2021-09-25T13:51:30 | 410,283,153 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,239 | py | """pyzmq logging handlers.
This mainly defines the PUBHandler object for publishing logging messages over
a zmq.PUB socket.
The PUBHandler can be used with the regular logging module, as in::
>>> import logging
>>> handler = PUBHandler('tcp://127.0.0.1:12345')
>>> handler.root_topic = 'foo'
... | [
"yuutayamauchi0109@gmail.com"
] | yuutayamauchi0109@gmail.com |
99b80aeb3f1ac2520446ebd639dc649f9fe6a6e0 | 1725601c942037bc3e77bdb2d82ac8f938e830fb | /pubsub/utils.py | 8a52d85c99be4b613ac978499f2a56b98fe7712e | [
"MIT"
] | permissive | nickfishman/autobahn-tests | 99e9c16377bed5d576847ac15106f839b726c6db | 7ef11eb4851a0f1b879404c583fa9224768de898 | refs/heads/master | 2020-12-24T13:53:08.465847 | 2013-10-29T10:32:58 | 2013-10-29T10:32:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 704 | py | from twisted.internet import reactor
from twisted.python import log
from autobahn.wamp import WampClientFactory
class AutoreconnectWampClientFactory(WampClientFactory):
"""Utility client factory that automatically reconnects on connection failures"""
def _reconnect(self, connector):
log.msg("reconnecting... | [
"nick@minervaproject.com"
] | nick@minervaproject.com |
0e90578ecea38bebaff16ca498f22b3b9c314c0c | 6d2a7627ac19f6af3cf461d18a63153e69a6630f | /detect.py | 646b271f5af2212222892022a6abacdc04cff86f | [
"MIT"
] | permissive | Chailcy/compresso | 2fdab873d7a6764af77f338eac319630e322aad7 | 052c4fdf8d5d02bce256465d6053d8bdfa305952 | refs/heads/main | 2023-04-05T16:31:40.074563 | 2021-04-18T11:44:38 | 2021-04-18T11:44:38 | 359,125,387 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 12,630 | py | from __future__ import division
import time
import torch
import torch.nn as nn
from torch.autograd import Variable
import numpy as np
import cv2
from util import *
import argparse
import os
import os.path as osp
from darknet import Darknet
from preprocess import prep_image, inp_to_image
import pandas as pd
import ra... | [
"noreply@github.com"
] | Chailcy.noreply@github.com |
8a654ecf34b18c5a04a72f3a99210e2aebc4b4c8 | 7c04c5c8c8330b4e2babffb96f7d8c88f1a39e7f | /flow/db/trade/aggregate/basecache.py | e4944bf799876c5a3ffa988a384b964cdf3971e2 | [
"BSD-3-Clause"
] | permissive | OspreyX/flow | d200a07e21a90e0ff621a7d0012754d6559cd538 | 20cdcd6b128defe57649d6e20a5fec60488fd0d2 | refs/heads/master | 2020-12-27T21:22:22.863762 | 2013-05-20T06:11:39 | 2013-05-20T06:11:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 876 | py | from jflow.utils.observer import lazyobject
from jflow.rates import log
class cacheBase(lazyobject):
def __init__(self):
super(cacheBase,self).__init__()
def post_attach(self, obs):
'''
observable method.
Invoked when we attach a new observer.
H... | [
"info@quantmind.com"
] | info@quantmind.com |
a98481b3d1f22163655265f851ea9317f940bcf5 | ea6b0c837cfc6f06d79e7e0cb48a4d27318f557b | /14MapReduce/mrMeanReducer.py | 423c97ab319e0a34243cf7658b1e9c0e914e651c | [] | no_license | Ewenwan/PyML | 383d928fed6d524e9a28bfaeb2bec24699d7fa8d | 687f87c9da7d73c7584bddd73fe3d0d2024b642a | refs/heads/master | 2021-01-16T18:33:03.803722 | 2019-01-04T05:17:43 | 2019-01-04T05:17:43 | 100,088,124 | 6 | 2 | null | null | null | null | UTF-8 | Python | false | false | 1,248 | py | #-*- coding:utf-8 -*-
#!/usr/bin/python
'''
Hadoop 流 多机器分发作业合作
mrMeanReducer.py
'''
# 运行
# linux 平台
# cat inputFile.txt | python mrMeanMapper.py | python mrMeanReducer.py # 打开文件 管道 管道
# windows 平台 DOS 窗口下
# python mrMeanMapper.py < inputFile.txt | python mrMeanReducer.py
import sys# 系统输入输出
from nump... | [
"1756429307@qq.com"
] | 1756429307@qq.com |
7208daedc8fa29c8a647a70162523436def9ff85 | 6823937e2384128a0a8ff5101ce9cd95548896c3 | /metapp2/group/views.py | 3234caec959e3aaf80b9506329893224e0ba26b7 | [
"BSD-3-Clause"
] | permissive | phamtrisi/metapp2 | c7551486f2816db02a32c5c48c044c1d1e740956 | cde00d4ca8c4a29b824e5089bb0d3576137e6122 | refs/heads/master | 2021-01-22T07:35:18.178764 | 2015-01-26T02:19:42 | 2015-01-26T02:19:42 | 29,798,533 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 328 | py | # -*- coding: utf-8 -*-
from flask import Blueprint, render_template
from flask.ext.login import login_required
blueprint = Blueprint("group", __name__, url_prefix='/groups',
static_folder="../static")
@blueprint.route("/")
@login_required
def members():
return render_template("group/list... | [
"quanphamminh@gmail.com"
] | quanphamminh@gmail.com |
c0414e00cafbf74684e1f0e04d73d5791952f63a | 96bcbd87280f6c9794399faa9b0eeff9640f2bf3 | /1_First_Flask_Project/database_sqlite3.py | d0df2273299d517f3d79ea321e10bd52d5ae0e87 | [] | no_license | anandaheino/Creating_API_Flask | 43046413bf4e777c3845d9071a48a83a49d2f111 | 03a4891e0ca4555f1343f4894a12fd27942015d1 | refs/heads/main | 2023-07-27T02:46:56.414814 | 2021-09-12T19:55:48 | 2021-09-12T19:55:48 | 404,477,340 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 816 | py | import sqlite3
### CREATING DATABASE USING SQLITE3
# Choosing the name of our database: enterprise.db
conn = sqlite3.connect('enterprise.db')
# Using cursor to create and access tables
cursor = conn.cursor()
# creating a table passing the query
#### Following the same base from the dict created at the server... | [
"anandaheino2@gmail.com"
] | anandaheino2@gmail.com |
d0725b642111cd872e94339bb6d20b1ed796ebe2 | c2b06e8e86231f53d8e159d7bf45ebb6602aaece | /CSC384-A1/WaterJugs.py | 02b06a3259bb3981b591d0c3a46fe038381bb5a0 | [] | no_license | jianajavier/PycharmProjects | 101f5d7a492f39f25914949d37c2226f1a323281 | 23130f41136eeaf39e6814baccec6759a1e6f55a | refs/heads/master | 2021-01-17T10:09:00.653555 | 2016-05-30T23:30:21 | 2016-05-30T23:30:21 | 60,043,326 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,507 | py | '''
EXAMPLE STATESPACE WATERJUGS
States in the waterjugs problem can be represented by two integers, (gal3,gal4), where gal3 is the amount of water
in the 3 gallon jug, and gal4 is the amount of water in the 4 gallon jug.
To use the search routines we subclass the "StateSpace" class and implement specialized versions... | [
"jiana.javier@mail.utoronto.ca"
] | jiana.javier@mail.utoronto.ca |
1058cbb6c3bf38739ccea3ae06ef948317fab391 | ca7a68d83ea9051068ac7ada1997d9253883b0da | /lab6/pta/perceptron_training.py | ee62ef3773a1a969bb4ee1605323026232e3c78b | [] | no_license | anuragshirolkar/AI-labs | 384713430133248dd3e16b55b11a13bd1d73993c | 468ba3182557e6c6cfb3296136c572cf4e2cbe83 | refs/heads/master | 2021-01-21T19:06:06.428864 | 2015-04-28T22:06:38 | 2015-04-28T22:06:38 | 29,127,508 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,009 | py | n = int(input())
inputs = []
outputs = []
for i in range(n) :
inp = raw_input().split()
out = int(inp[-1])
inp = [int(x) for x in inp[:-1]]
inp.append(-11)
inputs.append(inp)
outputs.append(out)
def is_valid(inp, out, weights) :
tot = 0
for i in range(len(inp)) :
tot += inp[i] ... | [
"ashirolkar47@gmail.com"
] | ashirolkar47@gmail.com |
29f444e48a77eb43cdbbb7fd3bd6b4a5d037cdfc | 985484e415631abe5b4afc2e0c67d6b1e2d0c5d1 | /apps/xfzauth/migrations/0003_user_image.py | 7de80792bad5c80ea4bf0f45a4c90e4f5172bfd3 | [] | no_license | a371057600/xfz | b88046f1c174956e0204abe8a56456dfe1471efc | dfb830d0060a95f7ca3a4e7df7f3bb957ac74384 | refs/heads/master | 2020-04-20T16:56:08.581009 | 2019-03-20T17:28:27 | 2019-03-20T17:28:27 | 168,973,712 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 375 | py | # Generated by Django 2.1.4 on 2018-12-29 12:34
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('xfzauth', '0002_auto_20180628_1159'),
]
operations = [
migrations.AddField(
model_name='user',
name='image',
... | [
"44048541+a371057600@users.noreply.github.com"
] | 44048541+a371057600@users.noreply.github.com |
6c96671f74b9343463bf52518965371e3ce49f1b | 70be35c6669cfc740f8379cfa0b685eb36058352 | /posts/admin.py | a816627dc64c2e979252261606ae9ea50c623621 | [] | no_license | RimoldRynold/django-blog | 1e727718f12c7fa90d9098f1a79d158498abb56e | 1f20e178e4f6bd1cfefa323482fab2da47b8928d | refs/heads/main | 2023-07-16T02:56:47.141063 | 2021-09-06T19:42:21 | 2021-09-06T19:42:21 | 403,733,283 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 110 | py | from django.contrib import admin
from .models import *
# Register your models here.
admin.site.register(Posts) | [
"rimoldishere@gmail.com"
] | rimoldishere@gmail.com |
1023c90c9e41ab6e063e80f56d7aa9d936f1cc7f | ad2c88af9412b757bde7df94f57660c70748d877 | /Jatin Kamboj CW/2-D Arrays.py | 3e9b68b38ef8176d397ebd96f6508b42e8bd85be | [] | no_license | MJK618/Python | 5d19b7046d7709b16068c758ebcbf7e61f52e374 | edb31ab490403a53fffa6a82692e1dd76040c5d7 | refs/heads/master | 2023-02-17T15:51:42.533454 | 2021-01-19T17:12:42 | 2021-01-19T17:12:42 | 297,244,564 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,400 | py | #2-D Arrays
#By Jatin Kamboj
m=int(input("Enter Number Of Rows"))
n=int(input("Enter Number Of Columns"))
mat=[]
for i in range(0,m):
mat.append([])
for i in range(0,m):
for j in range(0,n):
mat[i].append(j)
mat[i][j]=0
print("Enter The Elements")
for i in range(0,m):
for j in range(0... | [
"noreply@github.com"
] | MJK618.noreply@github.com |
b459778641b56e0820e5fb384b11042a69533afa | d46b78f80e6893f208c1e9b1206108122909c83c | /writeFile.py | b7ff8695fe7a62bafe65fbf288eefef66cbdb7c8 | [] | no_license | chandra88/docmaker | fd62786e40399de04ddcc8a5635a5d80e3a0ccf7 | 35ba70f3984a6ebc1524fc05a542caefe4b8bdd4 | refs/heads/master | 2021-01-21T14:01:37.806865 | 2015-06-02T00:29:40 | 2015-06-02T00:29:40 | 35,890,180 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,349 | py | #!/bin/python
import os, sys
import os.path
import subprocess as sp
import fileinput
import glob
import commands
import shutil
import re
from textManip import *
from classFile import *
from initialize import *
doctype = '<!DOCTYPE HTML> ''\n'' \
<html lang=en> ''\n'' \
<head> ''\n'' \
<meta charset="utf-8" /> ''\n''... | [
"csah88@yahoo.com"
] | csah88@yahoo.com |
53f18e3d6324766217bd33e5f7c5df5c74d01171 | 7e98a3fc246547cc93ce2a93f39410aac38f8dd3 | /bag/tests/test_urls.py | c6fc2dc10f4a6c80e6986f82a633ff10c1e9cdec | [] | no_license | kydzoster/huntinteriors | 53b5d064f05010c71c70d72a6148494226980287 | 4439c652d74d9b5553abc67d4bbac73b33b42336 | refs/heads/main | 2023-02-04T03:14:50.250492 | 2020-12-16T13:22:31 | 2020-12-16T13:22:31 | 301,401,449 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,063 | py | from django.test import TestCase
from django.urls import reverse, resolve
from bag.views import view_bag, add_to_bag, adjust_bag, remove_from_bag,\
success
class TestUrls(TestCase):
def test_view_bag_url_is_resolved(self):
url = reverse('view_bag')
print(resolve(url))
self.assertEqual... | [
"kydzoster@gmail.com"
] | kydzoster@gmail.com |
23b50708c3ac706936af52d8e0bd0e147f9ff4a3 | 3ad4ee773d5eb24dfc28f54bfd138bcafc977aae | /account_statement_cfonb/__openerp__.py | 527188528542632e4dace3181d3c9a16e9bdf0da | [] | no_license | akretion/l10n_fr_bank_statement | 31cca790840568ec878a749b346d049943ff9a9d | 0c965998b827d2832c7b707587b5fcf2fe9ff096 | refs/heads/master | 2020-12-25T17:36:39.308909 | 2014-11-04T11:13:33 | 2014-11-04T11:13:33 | 40,714,755 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,616 | py | # -*- coding: utf-8 -*-
###############################################################################
#
# account_statement_cfonb for OpenERP
# Copyright (C) 2012-TODAY Akretion <http://www.akretion.com>.
# @author Sébastien BEAU <sebastien.beau@akretion.com>
#
# This program is free software: you can redistr... | [
"sebastien.beau@akretion.com"
] | sebastien.beau@akretion.com |
69a47ced6cdb4ee3837dfd3e6ec326e51e6a695c | 0a3d5e79c9e88af1e46ab05754896f19b1cdbc4b | /mnist_train.py | 8153c062791597f326b8ce79f2bae8ec2e77a63d | [] | no_license | Jensen-Lv/tensorflow_mnist | e04a726d54ae65e5116e66a012e5ca4420106146 | a6956da2da69e4c48157385a74a2ce0955b6ece5 | refs/heads/master | 2021-08-23T21:02:06.607742 | 2017-12-06T14:41:37 | 2017-12-06T14:41:37 | 111,697,843 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,442 | py | import os
import numpy as np
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
import mnist_inference
BATCH_SIZE = 100
LEARNING_RATE_BASE = 0.8
LEARNING_RATE_DECAY = 0.99
REGULARAZTION_RATE = 0.0001
TRAINING_STEPS = 30000
MOVING_AVERAGE_DECAY = 0.99
MODEL_SAVE_PATH = "./model"
MODEL_N... | [
"yanlonglv@yanlonglvdeMacBook-Air.local"
] | yanlonglv@yanlonglvdeMacBook-Air.local |
9fcdf9b1d8f3ebecbece833c1586e2a3ed618d05 | 0c83ef7d2604888863c1af345ef28a4b57b32b7f | /AirlineReviewClassifier/AilrlineReviewClassifier.py | eeb63cac1f0bd35734e5e30f7591547fe1a6367b | [] | no_license | btennant521/Data-Science-Projects | 3321535d3f00e42a357de5a2720105dde3573211 | a9162f07188af98359ece44a4cadc64d21785979 | refs/heads/master | 2023-02-07T05:11:30.175411 | 2020-12-28T19:25:48 | 2020-12-28T19:25:48 | 279,488,347 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,648 | py | #!/usr/bin/env python
# coding: utf-8
# In[15]:
import numpy as np
import pandas as pd
# # Experiment Objective
# The dataset I chose to use consists of tweets from a twitter user directed at an airline. I downloaded the archive file from kaggle, website for Data Scientist to share and play with different data sc... | [
"ben.tennant@du.edu"
] | ben.tennant@du.edu |
8afe84368719c408ffe7879c59647637b4ef3d99 | de56b7409521bec01709042fb6ba8d7b49c066bc | /Baekjoon/Bronze/10809.py | fd7f2bf0bc9e1603919ab7c87bd43c4e9e0b26e3 | [] | no_license | hodurie/Algorithm | 40595c836febef815eff80585765a21a8cc299f1 | f0a72afd65d078661f3e8921de61d8c61ac06d89 | refs/heads/master | 2023-07-26T04:29:59.181987 | 2021-09-06T11:44:39 | 2021-09-06T11:44:39 | 264,898,915 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 96 | py | S = input()
lst = list(map(chr, range(97, 123)))
for i in lst:
print(S.find(i), end = " ") | [
"hodurie@gmail.com"
] | hodurie@gmail.com |
937a48765acfadc6493d3b1d0b2c9ca105426070 | a5de67ad2a76753a8644307e6736e03f77e5e196 | /Largest.py | 497b2cad676a452f1912681dd214645a98cb47ef | [] | no_license | Sonaelizebeth/Python-Programs | d7b89a775ea6ab978f0ad17d52bd57369c94f9de | 27348269ba238cad6cc22773069bb5e1c2a980cb | refs/heads/main | 2023-06-05T01:30:22.326600 | 2021-06-24T16:06:43 | 2021-06-24T16:06:43 | 378,443,480 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 293 | py | #program to check the largest number among 3 numbers
a = int(input("Enter the first number:"))
b = int(input("Enter the second number:"))
c = int(input("Enter the third number:"))
if(a>c):
print("A is Largest")
elif (b>c):
print("B is largest")
else:
print("C is largest") | [
"noreply@github.com"
] | Sonaelizebeth.noreply@github.com |
0aa85492271aaf75d61d16e7ddde4438d0ea5ae7 | ac235a23f22be0d6f1818bb53902177f9969813a | /ddtrace/contrib/kafka/patch.py | bbec71de62bc1dc85235d14cc11c93ef77323796 | [
"Apache-2.0",
"BSD-3-Clause"
] | permissive | DataDog/dd-trace-py | f09d6d48c4c69aea68f999fc8a458ade5c6150cf | 1e3bd6d4edef5cda5a0831a6a7ec8e4046659d17 | refs/heads/1.x | 2023-09-01T20:25:26.746324 | 2023-09-01T18:54:37 | 2023-09-01T18:54:37 | 61,572,326 | 461 | 426 | NOASSERTION | 2023-09-14T20:38:57 | 2016-06-20T18:52:23 | Python | UTF-8 | Python | false | false | 10,186 | py | import time
import confluent_kafka
from confluent_kafka import TopicPartition
from ddtrace import config
from ddtrace.constants import ANALYTICS_SAMPLE_RATE_KEY
from ddtrace.constants import SPAN_KIND
from ddtrace.constants import SPAN_MEASURED_KEY
from ddtrace.contrib import trace_utils
from ddtrace.ext import SpanK... | [
"noreply@github.com"
] | DataDog.noreply@github.com |
15bc8407519a5501e2d0687a01ae6c171ec545ed | 051c3ee44478265c4510530888335335ec9f7fdf | /ML_Applications/SVM/experiments_(MRs_on_Mutants)/digitsData/RBFKernel/Mutants/MR1-permuteFeatures/r5/DigitRecognitionApp_5.py | 99860b4f108cd70b0936ce937a2f1954c2cf2a6a | [] | no_license | PinjiaHe/VerifyML | b581c016012c62d8439adfce0caef4f098b36d5e | 3bd7c49e45720c1cdfe0af4ac7dd35b201056e65 | refs/heads/master | 2020-03-25T19:40:39.996370 | 2018-01-30T08:58:58 | 2018-01-30T08:58:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,197 | py | """
Created on Fri May 26 15:20:01 2017
#Digit Recognition for V & V
#Following note added by Raghu
Note:
1. The actual digits data from the http://archive.ics.uci.edu/ml/datasets/Pen-Based+Recognition+of+Handwritten+Digits is different than the one referred in this sklearn example
2. For more info, refer this link ... | [
"anurag.bms@gmail.com"
] | anurag.bms@gmail.com |
b83ec2d670154dd3d5a2031394f7a16de87460de | 2b19784741ebc5206eb6f275a15e04fe58b621de | /PySARibbon/SAWidgets/SARibbonApplicationButton.py | eac8ee315ec343593a30928182e68ee8872116b0 | [
"MIT"
] | permissive | mcxrrp/SARibbon-pyqt5 | c0055ac1e2f7aba2ff619ecc29a9493c313198cb | a8359e86401d76bd4ad266223bc76026585043b3 | refs/heads/master | 2023-09-01T12:03:48.587394 | 2021-09-14T16:14:29 | 2021-09-14T16:14:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 466 | py | # -*- coding: utf-8 -*-
"""
@Module SARibbonApplicationButton
@Author ROOT
"""
from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import QPushButton
class SARibbonApplicationButton(QPushButton):
def __init__(self, *_args):
"""
__init__(parent=None)
__init__(str, parent=None)
... | [
"963831134@qq.com"
] | 963831134@qq.com |
4511418ac6a1ba4d051b347cf150a798e4753afa | 644d9ef18713e4cb5d4c3b53301bd7276dcdf477 | /api/programs/serializers/courses/__init__.py | 0420ef42cac21787e67976e0cca760e59a01bd92 | [] | no_license | alexhernandez-git/django-classline | 6cb5bcd268248999e18037f58c4ed30012d51915 | 49fcf0c6d735a56eaebc17d04be52dab91ca4c3a | refs/heads/master | 2023-03-18T07:10:08.770066 | 2021-03-04T22:24:09 | 2021-03-04T22:24:09 | 287,985,028 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 372 | py | from .languages import *
from .prices import *
from .courses import *
from .blocks import *
from .block_tracks import *
from .items import *
from .item_tracks import *
from .contents import *
from .item_questions import *
from .item_answers import *
from .items_viewed import *
from .materials import *
from ... | [
"vlexhndz@gmail.com"
] | vlexhndz@gmail.com |
890901cd0fa23a318fe40de3e3fe0723f54bbf50 | 96c98bd154f0f0a52390830425b57e5924523817 | /sfd_test_code/WIDER_FACE/wider_test.py | 5a3d4a10fc9240e23974e4f27e668532e2545dc1 | [] | no_license | bonseyes-admin/SFD | cbb7972fe5cbd478447b0c41454c0049c0976935 | b00e3d5890dd2cdaac8633dcc1c44666bd4efa87 | refs/heads/master | 2021-01-25T14:23:23.976555 | 2018-03-03T09:04:13 | 2018-03-03T09:04:13 | 123,692,086 | 1 | 0 | null | 2018-03-03T12:58:41 | 2018-03-03T12:58:41 | null | UTF-8 | Python | false | false | 6,546 | py | import numpy as np
import cv2
import scipy.io as sio
# Make sure that caffe is on the python path:
caffe_root = '../../' # this file is expected to be in {caffe_root}/sfd_test_code
import os
os.chdir(caffe_root)
import sys
sys.path.insert(0, 'python')
import caffe
def detect_face(net, image, shrink):
if shrink... | [
"noreply@github.com"
] | bonseyes-admin.noreply@github.com |
0b47f8c6eb3a77131d6348dd8f32fd610752db01 | ae9c8b6e04b65390ec25ca9b849b068e79a1fc6d | /Functions/GlobalMapSoilMoisture.py | 538b8b3e630a4efb110fe0352ca51a5fd0f85ae1 | [] | no_license | HarroJongen/DUHI | 877456c114c9cc7fb70d1a807285f84248d4e480 | b50e633802403ef48678bb174a749f18cea0ceb8 | refs/heads/master | 2023-07-31T02:12:36.830459 | 2021-09-24T09:05:52 | 2021-09-24T09:05:52 | 270,948,762 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 664 | py | #Title: GlobalMapSoilMoisture
#Date: 23-07-2020
#Author: Harro Jongen
#Draws a global map of the soil moisture for a given filepath
def GlobalMapSoilMoisture(filepath):
from netCDF4 import Dataset as NetCDFFile
import numpy as np
from mpl_toolkits.basemap import Basemap
nc = NetCDFFile(filepath)
... | [
"harro.jongen@wur.nl"
] | harro.jongen@wur.nl |
c27457207eaa7886233b01db019a34d541a16a43 | 0a3a5486d7d9dbb08bff2ece258e98f5ce676ec8 | /src/registroCivil.py | 5d6b1cf058220c6071355933cb8bfad1754f40a7 | [
"MIT"
] | permissive | rodsalasf/Datos-COVID19 | 4eda2b99da963dc30eb3b0b12f11274e3a2612b7 | 098414e945203d2ec7ed4ab5f4b1436df23bc21e | refs/heads/master | 2022-09-03T23:20:33.400884 | 2020-05-20T17:26:15 | 2020-05-20T17:26:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,200 | py | '''
MIT License
Copyright (c) 2020 Sebastian Cornejo
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publ... | [
"sebastian.cornejo@gmail.com"
] | sebastian.cornejo@gmail.com |
da07e9c6ef4dbfb70b6cc5d01d2eea1a53773cd9 | 5b7b6100866a4dc2c3da3dc019882154c7d9ef4a | /Games/Python/A/RPSLS.py | 5e32f3ea3d84cecda3654461e3cd5c9dcb08ac6f | [] | no_license | Hellrungj/Python-Games | 711b17a2198fd95b9a317d7db857ca30782264b4 | 34c78c630457018c04b7a05fef320750b11b5c1d | refs/heads/master | 2016-09-13T09:43:30.923904 | 2016-04-18T02:01:09 | 2016-04-18T02:01:09 | 56,359,904 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,713 | py | #-------------------------------------------------------------------------------
# Name: hellrungj
# Purpose: This is the game Rock, Paper, Scissors, Lizard, Spock
# Created: 22/04/2014
# Copyright: (c) hellrungj 2014
# Licence: <your licence>
#-----------------------------------------------------... | [
"hellrungj@berea.edu"
] | hellrungj@berea.edu |
be0eda8aa93f7cb677306f18f5e62307bb935bc2 | efec547cce9f3e73246990de7ce9572f2c585725 | /tensorflow/python/distribute/tpu_strategy.py | f39491da5307fe44a4ad03eb944b19983a0d66c3 | [
"Apache-2.0"
] | permissive | ltn100/tensorflow | a5d150fbb4930f2c516cee9e712774d82e260ac6 | 4c54f0a0a83d3cf8e2a3326734880fced6e37541 | refs/heads/master | 2020-09-03T02:08:06.344814 | 2019-11-13T09:03:03 | 2019-11-13T09:06:49 | 219,355,872 | 1 | 0 | Apache-2.0 | 2019-11-03T19:45:13 | 2019-11-03T19:45:12 | null | UTF-8 | Python | false | false | 31,090 | py | # Copyright 2018 The TensorFlow Authors. 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 required by applica... | [
"gardener@tensorflow.org"
] | gardener@tensorflow.org |
81b3c1a604d12b227bc601a62060b3b20494c030 | c03d7a4e03c581d4be98b6363003cddb9c213ec0 | /registration/migrations/0017_auto_20181122_2208.py | 3e33472466085ca31c4186c48ec9f60a73f4368e | [] | no_license | hernandavidc/plataforma | b333e4f06290713072d8dc609c27d4ce8af1d9df | 4316e2a59db76e74f1e6106958631ad4a7a653c7 | refs/heads/master | 2020-04-06T17:08:21.019355 | 2019-04-09T04:41:00 | 2019-04-09T04:41:00 | 157,648,096 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 641 | py | # Generated by Django 2.1 on 2018-11-23 03:08
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('registration', '0016_auto_20180910_1209'),
]
operations = [
migrations.AlterField(
model_name='veterinaria',
name='lat... | [
"hernandavidc@hotmail.com"
] | hernandavidc@hotmail.com |
4383fc24843a959d785ac18857cc493f6aa482fe | 223054ff0a9a33e8b340d52f22c745dee58b2d98 | /notebookAssets/codeSnippets/codeSnippet.py | 3afa4a35c6df4c552a2a3240d0fd02814578bb5e | [
"MIT"
] | permissive | WaunBroderick/Search-Identify | 5b7358b7b6c8947044fa0080a280b2ef69e615c6 | 24ce11cb0d1cb75424c390928fbd55a1a1092456 | refs/heads/master | 2020-06-06T11:34:43.236182 | 2020-01-28T03:49:32 | 2020-01-28T03:49:32 | 192,729,366 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 534 | py | def train_model(x_train, x_test, y_train, y_test):
input_shape=(img_rows,img_cols,3)
model=create_model(input_shape,total_countries)
adams=optimizers.Adam(lr=1e-4)
model.compile(loss='categorical_crossentropy',
optimizer= adams,
metrics=['accuracy'])
model.fit(x = x_t... | [
"waun.broderick@gyroscopic.ca"
] | waun.broderick@gyroscopic.ca |
c73e4eea2ea7eda52fcb5c5f04c46ccaf9eb0d3e | c241ff1a0a5a4051d618820cdc8d391e6c3592b3 | /094.py | 3acbab8f2d6fdbcab547d76ae9d52d6351d39546 | [] | no_license | 116pythonZS/YiBaiExample | 3377f05f282c1f4d2d9f514d551fa38836fed569 | 54cac8724d8df384b5febb29ec8edb16e2e67ce5 | refs/heads/master | 2021-06-22T03:22:24.647907 | 2017-08-29T16:40:26 | 2017-08-29T16:40:26 | 100,593,473 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,062 | py | #!/usr/bin/python
# -*- coding=utf8 -*-
# Created by carrot on 2017/8/29.
"""
题目：时间函数举例4,一个猜数游戏，判断一个人反应快慢。
"""
import time
import random
def main():
play_it = input("想要继续玩吗('y'or'n')")
while play_it == 'y':
i = random.randint(0,2**32) % 100
start = time.clock()
# a = time.time()
... | [
"carrot@HXL-MBP.local"
] | carrot@HXL-MBP.local |
8ec08ea622782ba48301755259667cb66b3bcb6d | c719b6b0c51e208c93006b3244c096af1e4752f8 | /examples/Pi2.py | 0c74627ae81e2a121c22a26bed84f4e8f772a41f | [
"Apache-2.0"
] | permissive | gtaffoni/Learn-Python | db99e2c494d098ba203f882e4a26a959a96ad297 | dc7a56e05f9f5b47621e6f37a9cfb36b83926de9 | refs/heads/master | 2021-01-23T03:33:57.630483 | 2018-05-28T10:01:20 | 2018-05-28T10:01:20 | 86,091,059 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 829 | py | #!/usr/bin/env python
#-----------------------------------------------------------------------------
#
# Pi2.py
# Learn Python
#
# Created by giuliano taffoni on 31/03/17.
# Copyright 2017 Guliano Taffoni. All rights reserved.
#
# The full license is in the file LICENSE, distributed with this software.
#-----------... | [
"morgan@anouk.oats.inaf.it"
] | morgan@anouk.oats.inaf.it |
71510656048ba2862fc44370f36b3b47fff25955 | 99e8cb8fcce23454fc20a4bd7e932f6b304bfa5f | /app.py | 873b9f9da76cbd324c0150b43050259790dcfd80 | [
"MIT"
] | permissive | alexpulver/aws-iot-web-api | 5b5065c06345358feab7458ac238d731cda0d987 | 6f3bf93252c4faad25b9c0f9011192c622916ebd | refs/heads/master | 2020-04-13T22:48:19.952401 | 2018-12-29T07:38:01 | 2018-12-29T07:38:01 | 163,488,493 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 687 | py | import json
import boto3
from flask import Flask, request
app = Flask(__name__)
@app.route('/devices/<device_id>', methods=['GET', 'POST'])
def manage_devices(device_id):
client = boto3.client('iot-data')
if request.method == 'GET':
response = client.get_thing_shadow(thingName=device_id)
else:
... | [
"apulver@amazon.com"
] | apulver@amazon.com |
98e67432ab2b7827aba8367a3bb3ecfbbeb4e98f | d27c4ca7fd96a62363e555677d9d41e0b649f704 | /tools/external_converter_v2/parser/onnx/med_trans_util.py | 31c479efed5a3a150666bc4f3f5c9d23bc82381c | [
"Apache-2.0"
] | permissive | imharrywu/Anakin-1 | 26e69bb2ec38d66d279cb3b1003501cbf0f8b729 | ffabcf1bd4b19cc6c682ba8a9e68b8ef976d9da7 | refs/heads/master | 2020-09-21T12:53:29.055278 | 2019-11-29T09:37:52 | 2019-11-29T09:37:52 | 224,795,082 | 0 | 0 | Apache-2.0 | 2019-11-29T06:56:16 | 2019-11-29T06:56:16 | null | UTF-8 | Python | false | false | 10,522 | py | import numpy as np
from ..graph_io import TensorProtoIO, OpsProtoIO
from ..operations import OpsParam
def shape_2_ak_shape(shape):
"""
onnx shape to anakin shape
:param shape:
:return:
"""
mini_shape = [i for i in shape if (i is not None and i > 0)]
return map(int, [1] * (4 - len(mini_shape... | [
"qq332982511@qq.com"
] | qq332982511@qq.com |
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