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classes | length_bytes int64 2 10.3M | extension stringclasses 257
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9125851b1d61361d8d141a4dca0d69cccfebbf50 | b62d6c292e573dca91d33dfbe61a417e18330d50 | /app/KS/image/helpers.py | b773d4bef9998935d10af95089338174274ed702 | [] | no_license | MCapallera/PatternRecognition_JungleSpeed | 7dd2e7854df8c4585612e5455505fcfb6f443972 | d8254abc26152af449fc17881283da46359b712d | refs/heads/master | 2020-05-01T17:54:37.985790 | 2019-05-26T17:22:27 | 2019-05-26T17:22:27 | 177,611,998 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 167 | py | import numpy
from skimage.filters import threshold_yen
def get_background_color(img):
threshold = threshold_yen(img)
return numpy.mean(img[img > threshold])
| [
"melania.grotti@unifr.ch"
] | melania.grotti@unifr.ch |
f748579f1a20a23d901c31b88322c26f451af433 | 44ce370130c7cd9a6a763be8dcc62362f57724e7 | /vagrant/data/Math2/cont2_8/run | eb3597973d86ef0dc6f0ed2817058872d9b99942 | [] | no_license | akemery/cnp3-docker | c122aac493868ec4fa2b7795b1fd7110998f93dc | 3f24649ab81e828cf6babcfac7965251cb4dc7e2 | refs/heads/main | 2023-06-21T10:06:05.668090 | 2021-07-26T07:39:42 | 2021-07-26T07:39:42 | 363,279,299 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 666 | #! /usr/bin/python3
# -*- coding: utf-8 -*-
import sys
sys.path.insert(1, '/course/common')
from inginious import input, feedback, rst
from parsingDomain import compareDomains
correct = "{}" # à modifier /!\
answer = input.get_input("q1")
grade = 0
result = compareDomains(answer, correct)
if result[0]:
fee... | [
"assogba.emery@gmail.com"
] | assogba.emery@gmail.com | |
f93a39f3c7ce5dc35b811f46c70586ec4a00c270 | 4d93acd63ce2835fcd7ea610fcd412b727a4f03e | /08-Markov/decay.py | aa454eea1ad7fb4d3765d62e0e5f8e83dfc8525a | [] | no_license | jsbarbosa/JuanBarbosa_MCA | 41ebcc27bb7dd8a886c9b4c1b416bd7e3cad2e57 | 4f49d17282679ae1fa81d7cc892b6560edf93828 | refs/heads/master | 2021-01-11T17:53:44.115810 | 2017-04-24T17:58:09 | 2017-04-24T17:58:09 | 79,863,469 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,590 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 13 18:21:00 2017
@author: juan
"""
import numpy as np
import matplotlib.pyplot as plt
obs = np.array([1.5, 1.7, 2])
def rand():
return 2*np.random.random() - 1
def integral(a, b, lm):
return -lm*(func(b, lm) - func(a, lm))
def fu... | [
"js.barbosa10@uniandes.edu.co"
] | js.barbosa10@uniandes.edu.co |
78d9bf44728572f4d21268ca5a3a81c35e52cf7e | 3dfb23604deb956cabd3e7d014389548f2b14e27 | /app/trade/apps.py | 33c34302eb16e58b685b3962cd5f3962890a1753 | [] | no_license | huanpython/mysite | 74c285f093a4af888d554d780997a23c25bc626e | 05bdba6174446117efd01f6f8c7d94768cb330fa | refs/heads/master | 2020-07-02T09:25:43.061976 | 2019-08-14T04:03:20 | 2019-08-14T04:03:20 | 201,485,571 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 123 | py | from django.apps import AppConfig
class TradeConfig(AppConfig):
name = 'app.trade'
verbose_name = "交易管理" | [
"huanfuan@163.com"
] | huanfuan@163.com |
1ed5d148e48f6eaac83bf81e500e00be6515e921 | e9534ef4fbaea3cfee556e5da32927ba3860834c | /autoScale/main.py | 0f5a11984e217850e3df919739199b47384e4c69 | [] | no_license | joaoleite/marathon-autoscaling-app | 91791b831428105f4c4a778ffcacecad3edefe99 | ce45b562f006958dc14b88af6611092604cf4cfb | refs/heads/master | 2021-01-19T19:05:17.509686 | 2017-05-09T00:35:50 | 2017-05-09T00:35:50 | 88,398,742 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,288 | py | from marathonAPI import MarathonAPI
from rabbitMQ import rabbitMQ
from settings import VAR_MARATHON_PORT, VAR_MARATHON_USE_HTTPS, VAR_MARATHON_PASSWORD, VAR_MARATHON_USER, \
VAR_RABBITMQ_WEB_PORT, VAR_RABBITMQ_PASSWORD, VAR_RABBITMQ_USER, VAR_RABBITMQ_HOST
from settings import MARATHON_INTERVAL_REFRESH_APP
from set... | [
"joaoleite@gmail.com"
] | joaoleite@gmail.com |
bed6c7b8a9b18521ccb6830724efd339b5523cb9 | a8cb99c512946691b6c53cf14538b44c39c62e88 | /models.py | a8f9314eba0b89e27e3eaf4139a8ce19fb2b8f63 | [] | no_license | Louise-LuLin/debias-gcn | 3d3f0c57cd22ed6506841c463820eac980ae4769 | 82ee00cce6f5672c8823cf31a2fe9e5b54eed56e | refs/heads/main | 2023-05-03T05:24:45.506722 | 2021-05-17T18:30:15 | 2021-05-17T18:30:15 | 360,814,170 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,250 | py | import dgl
from dgl.nn import SAGEConv # Define a GraphSAGE model
from dgl.nn import GATConv # Define a GAT model
import torch
import torch.nn as nn
import torch.nn.functional as F
######################################################################
# build a two-layer GraphSAGE model
class GraphSAGE(nn.Module):
... | [
"lulin199209@gmail.com"
] | lulin199209@gmail.com |
da6084b7a1b5f3aa319565d6778d11e1160946a3 | d7b403a8e4b124e42feb0b72c502df438f5552f6 | /speech/TextToSpeech.py | afda438ef79dc3cb346c9c3df8dea77969416e10 | [] | no_license | Mallington/Hacker-The-Hardware-bear | ea3b7b7bd1a908ff613cce414d623b2d263c0955 | 4f21318879bedac726c00a26f9c80095f73c1881 | refs/heads/master | 2020-09-16T04:10:39.319071 | 2019-11-24T11:01:43 | 2019-11-24T11:01:43 | 223,648,970 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 273 | py | from gtts import gTTS
import os
from datetime import date
class tts():
def __init__(self):
pass
def say(self, message):
tts = gTTS(text=message, lang='en')
now = date.today()
tts.save("{}.mp3".format(now))
os.system("mpg321 {}.mp3".format(now))
| [
"funkymallington@gmail.com"
] | funkymallington@gmail.com |
cf8828a7f7d1d13855bca279de6c79655a778dcd | 97825c904d512fdfd6a4418d6820eb8fd3cdd202 | /largest_number.py | cf7f5a702a9e0821a28b1fd3e4074a3fe1484bf5 | [] | no_license | charliedmiller/coding_challenges | 97426741778d0498321cb2fec2e7d3c3d3c0b26e | ea6aa0cffb55b2d88f71f108f16c34e9779da9c7 | refs/heads/master | 2023-02-21T21:54:26.500399 | 2021-01-28T23:50:42 | 2021-01-28T23:50:42 | 287,142,628 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,186 | py | # Charlie Miller
# Leetcode - 179. Largest Number
# https://leetcode.com/problems/largest-number/
"""
I had the right idea, though needed to look at the sln to get there
https://leetcode.com/problems/largest-number/solution/
Create a comparator that compares the numbers created by ordering
them differently (a ... | [
"charliedmiller@gmail.com"
] | charliedmiller@gmail.com |
d39c8a61833fc2f4123d6803bf8dce614ed0a12a | cfc9a8831e5946d738329fad2763d643dec8566f | /src/encoded/tests/test_create_mapping.py | 44d89dea3b1ec2d190ef281061e331a2302547be | [
"MIT"
] | permissive | emi80/encoded | 8e244a66b0d36610dcf8d9a47d385640dfa7987d | 2fe2c2afbd3be21b65b10a189a3bd623ecdaee37 | refs/heads/master | 2021-01-18T12:34:56.060690 | 2015-03-05T21:56:05 | 2015-03-05T21:56:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 299 | py | import pytest
from ..loadxl import ORDER
@pytest.mark.parametrize('item_type', ORDER)
def test_create_mapping(registry, item_type):
from ..commands.create_mapping import type_mapping
from ..contentbase import TYPES
mapping = type_mapping(registry[TYPES], item_type)
assert mapping
| [
"laurence@lrowe.co.uk"
] | laurence@lrowe.co.uk |
89390f2b4c8bd7d25ec8c7791c9b3502343ed13a | ebe20199181927f3eb36aedfe66d5d179f28628f | /concierge/event/models.py | d66ac24619b9e9b28680c89204f8dfd3e80b9f4c | [] | no_license | rajat404/concierge | 8f1c1d826334f8a0364d4b64efebc722b6f6f061 | 60290e70741060c78c860779a19bf81a90058675 | refs/heads/master | 2021-07-01T08:28:27.020737 | 2017-09-03T22:23:12 | 2017-09-03T22:23:12 | 103,437,813 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,103 | py | # Third Party Imports
from django.db import models
from django.utils import timezone
from django.utils.translation import ugettext_lazy as _
from simple_history.models import HistoricalRecords
# Concierge Imports
from concierge.base.models import SlugModel, TimeStampedModel, UUIDModel
from concierge.quiz.models import... | [
"404rajat@gmail.com"
] | 404rajat@gmail.com |
9c93902848978428f5ced5f6c21786783cea6d85 | a4623b72797d87baf17ca48406e36da8af78e7eb | /backend/settings.py | b4dcb752ef5348911c4f31d20ef9747037555f2c | [] | no_license | janefwp/task | f410965a381769864f51d485f72e5c4a0738ebad | f7366c9f8e77a3927acaff3758916779e670cf53 | refs/heads/main | 2023-04-13T19:47:36.614907 | 2021-04-25T09:02:43 | 2021-04-25T09:02:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,957 | py | """
Django settings for backend project.
Generated by 'django-admin startproject' using Django 3.1.6.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.1/ref/settings/
"""
import os
fro... | [
"cuij1012@gmail.com"
] | cuij1012@gmail.com |
007d263722520390990a2b56a70c7cb4328ec8b9 | 2846b0779aec695c3d2b6673e274a14f5bad374b | /Session info to table/macOS app/Tracks to Table/tracks_to_table.py | f7d4b2789f5e0e70306dadea74eacbeb13a6aed0 | [
"MIT"
] | permissive | fantopop/post-production-scripts | 43aeeec3cd2f0e21b487ce1e8a6d762f4b79a333 | 8192499d6ba716a0f72094c63c167cd2ae384eab | refs/heads/master | 2022-04-30T15:44:37.249831 | 2022-04-19T15:32:34 | 2022-04-19T15:32:34 | 91,468,867 | 24 | 1 | null | null | null | null | UTF-8 | Python | false | false | 17,676 | py | #!/usr/bin/python
"""
tracks_to_table.py
Author: Ilya Putilin
https://github.com/fantopop/post-production-scripts
Special thanks to Philippe Lagadec for HTML.py module for generating HTML tables.
http://www.decalage.info/python/html
This scripts converts .txt file, that could be exported from Pro Tools
using "Export... | [
"fantopop@gmail.com"
] | fantopop@gmail.com |
f7076115a366f407af38c60d3ee22cb4242a040a | 4a008af61a508c73a41d6907b57272b16bbf4b32 | /ephios/modellogging/models.py | eaddb22fb930e22cc477e58f5723af00c7e68613 | [
"MIT"
] | permissive | alexanderKuehling/ephios | dbe6cf9198d1f9b5c9bb27927726c32271c11eda | 2bec784b1bf5300201701ae1710f699b95cdd0e3 | refs/heads/main | 2023-05-08T02:22:23.163347 | 2021-05-06T16:20:07 | 2021-05-06T16:20:07 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,744 | py | from django.conf import settings
from django.contrib.contenttypes.fields import GenericForeignKey
from django.contrib.contenttypes.models import ContentType
from django.db import models
from django.utils.functional import cached_property
from django.utils.translation import gettext_lazy as _
from ephios.modellogging.j... | [
"noreply@github.com"
] | alexanderKuehling.noreply@github.com |
8fc10d35f9fa5cced3f4939ab0d2ca50d42ab5cb | b5dbf732d26a2a924c85c5a107035be48bfe69cd | /2.7.py | a41cca6bfe45aaf10f7b7a81df3ea5680c11f318 | [] | no_license | Beks667/2.7Hw | 2435bfa58e252357c46819f6987639ca025549be | 4e03706bdfc70f2f94145a50f493f36995d08cdb | refs/heads/main | 2023-04-19T13:10:24.348768 | 2021-05-07T12:44:27 | 2021-05-07T12:44:27 | 365,230,069 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,341 | py | # class Phone :
# def __init__ (self,brand,model,color):
# self.brand = brand
# self.model = model
# self.color = color
# def show (self):
# print(f"{self.brand},{self.model},{self.color}")
# phone = Phone("Apple", "XS", "black")
# phone.show()
# class Monkey:
# max_age... | [
"you@example.com"
] | you@example.com |
b892725d3b4dcb01c4b54bf97ca0a1f759db0640 | 87a7e63bf86dad9ca5dbe812ea8caaa013ab1856 | /Step6RectangleDivision.py | 31a102235257fba937444e2cf0323933e2ceefe3 | [] | no_license | sugoigroup/CodeTestPython | 884ee5aa7abec588eb04df930b32c824b1a37a93 | ba08dc8c2a7c8f385055b4e21a6de10e73f7e8fd | refs/heads/master | 2023-03-18T12:01:30.055923 | 2021-03-15T13:32:58 | 2021-03-15T13:32:58 | 347,641,273 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 609 | py | # 긴변의 길이가 1000이하에서 만들어질수 있는 정사각형 개수가 딱 20개인 직사각형의 가로세로 길이 쌍이 몇 쌍인지 구하시요? 응?
# 단 직사각형의 가로세로 길ㄹ이를 바꾼 경우는 하나로 취급됨.
# 뭔개소리냐
W, N = 1000, 20
def cut(w, h, n):
if w==h:
return n==0
if w>h:
w, h = h, w
q, r = divmod(h, w)
if (n-q<0) or (r==0):
return (n-q==0)
else:
return ... | [
""
] | |
04d3c52147bf2d6f5af145bd01926191bd945680 | d4af57cf5b00e13e78966b20b21c0a052d078d3a | /Lab1/Source/wsgi.py | 617a28297304cf4bfa7b756309ba4adf0c6fed80 | [] | no_license | Bersik/Web-Technology-Course | e717aab6df994e21bc6bb4c3944d094bf95328f9 | 3d955921b8187987d86e3339aedba6c4bf9cf01c | refs/heads/master | 2021-05-04T06:56:27.566335 | 2016-12-13T02:14:35 | 2016-12-13T02:14:35 | 70,544,089 | 0 | 1 | null | 2016-12-03T21:45:11 | 2016-10-11T01:32:59 | Python | UTF-8 | Python | false | false | 388 | py | """
WSGI config for Lab1 project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.10/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETTING... | [
"k.sergyk@gmail.com"
] | k.sergyk@gmail.com |
c2b8476c5f2885a7c220049fadf41636f702b471 | f2e063c84f0cfa36b47ca5ee0752790ce7ae7a7a | /22 april/second.py | 85c9b8cf0f154f60577713c5eb85ff1cdcd2501c | [] | no_license | niksanand1717/TCS-434 | a1b1ca9ca96b389cb30fb3a104dda122408a52c9 | 0c1c16426d127d84733d26475278f148a1e512d8 | refs/heads/master | 2023-04-17T12:48:11.475162 | 2021-05-01T19:05:38 | 2021-05-01T19:05:38 | 347,687,725 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 550 | py | # Input n strings in a list and print all the strings ending with a specific character provided by the user
def seive(string):
index = (len(string)-1) - len(match)
if string[index + 1: ] == match:
return string
strnum = int(input("Enter num of strings: "))
strs = []
for i in range(0, strnum):
st... | [
"nikhilanandgaya01@gmail.com"
] | nikhilanandgaya01@gmail.com |
ecca9f66970644f8ebd7962b370b64e54427a5c2 | 339ec05910ea45e91222a33ef926d8f108f87486 | /server.py | 24f5afea45ca70ff80b5c4b8f1bc8566d864ad53 | [] | no_license | ajeebbasheer/chat-server | 199eda1b67a2449e300ba693a1f735521c89d236 | 9ffdd57a617bed06f256e3fe2fd1926c34064cc9 | refs/heads/master | 2021-09-13T17:45:04.167524 | 2018-05-02T15:44:19 | 2018-05-02T15:44:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,247 | py | #/usr/bin/env python
import socket
import sys
import select
CONNECTION_LIST=[]
RECV_BUFFER=4096
PORT=5000
def broadcast(sock,message):
for s in CONNECTION_LIST:
if s != server_socket and socket!=sock:
try:
s.send(message)
except:
s.close()
CONNECTION_LIST.remove(socket)
server_socket=socket... | [
"to.ajeeb@gmail.com"
] | to.ajeeb@gmail.com |
ecd72f46add5e5f213fc1533ff3e25f25160af31 | 9de18e1e39c941aeba1781630711cef1d3d4d44c | /experiments/cifar10/conv.py | 41757c9d21758f8c35cf7d9e176d18cd6ff88602 | [] | no_license | BINDS-LAB-UMASS/bindsnet_experiments | cee786ae7e087845f58e0af4a49fa319d4fb81d5 | 8a20be9d1ede021b70ff95cc7e85024ff5a222db | refs/heads/master | 2022-11-12T11:33:20.451028 | 2019-10-01T15:40:28 | 2019-10-01T15:40:28 | 135,615,246 | 41 | 10 | null | 2022-10-28T00:35:03 | 2018-05-31T17:28:04 | Python | UTF-8 | Python | false | false | 14,333 | py | import os
import sys
import torch
import argparse
import numpy as np
import matplotlib.pyplot as plt
from time import time as t
sys.path.append('..')
from utils import print_results, update_curves
from bindsnet.datasets import CIFAR10
from bindsnet.network import Network
from bindsnet.learning import Hebbian
from b... | [
"djsaunde@umass.edu"
] | djsaunde@umass.edu |
e1bccde57c18d31ab7ae91528e51e89563c8c9b2 | 3e7b2ebb64e9e324ce47d19def21ae62cc1e56a6 | /Problem-solving/HackerRank/p14- sWAP cASE.py | 5f4f5a0512103085cb85a010c0c4672a7a9a5c87 | [] | no_license | shuvo14051/python-data-algo | 9b6622d9260e95ca9ffabd39b02996f13bdf20d1 | 8f66ff6f2bd88a0ae48dac72e4ea6c5382a836ec | refs/heads/master | 2023-02-03T03:04:01.183093 | 2020-12-13T10:13:15 | 2020-12-13T10:13:15 | 274,106,480 | 0 | 0 | null | 2020-07-05T06:33:28 | 2020-06-22T10:24:05 | Python | UTF-8 | Python | false | false | 194 | py | # n = input()
#
# swaped_n = n.swapcase()
#
# print(swaped_n)
def swap_case(s):
return s.swapcase()
if __name__ == '__main__':
s = input()
result = swap_case(s)
print(result) | [
"shuvo1137017@gmail.com"
] | shuvo1137017@gmail.com |
96522b5e865f8371b780903ffd0f11fcf1ca2dfa | 6a18c479a83e238484fd481c97fdca776091d4aa | /deepracer/RL_Model_Training/benchmark_dr.py | 4d10f2d5ad61ca5e66c85c7cf425a6a26321f5ae | [
"BSD-3-Clause",
"MIT"
] | permissive | Currycurrycurry/Time-in-State-RL | f07e91fc3f6111869dfa380de87970086895e046 | f106d92c3556b955c108bf3e147bb0b12e60259c | refs/heads/main | 2023-03-20T16:13:53.414126 | 2021-03-09T02:24:31 | 2021-03-09T02:24:31 | 345,659,435 | 0 | 0 | BSD-3-Clause | 2021-03-08T13:07:45 | 2021-03-08T13:07:45 | null | UTF-8 | Python | false | false | 24,399 | py | # Code credits: The model loading code is taken from open AI baselines with modifications done to allow
# variable timing characteristics during evaluation. The deepracer environment is taken from the aws deepracer github
# code with modifications for the variable timing characteristics.
# Changing the sampling and l... | [
"sandha.iitr@gmail.com"
] | sandha.iitr@gmail.com |
4e9439bccd64614f8be9f6d1df393b1b365247a7 | 86059cbbba04e62a1a6b217ea043081d10c55174 | /Tutorial 2/Code/Lambda/lambda2.py | cd103bfd0dd8cfcf1ccfe882d4d4c68f8bb162ff | [] | no_license | AdityaJNair/PythonAssignment | 4d0190a8bf2576fcf7863fea5cd7b195e6060bc5 | 3c0b8cb1d47b29382bc40239fe4735034db1965e | refs/heads/master | 2021-01-20T11:50:55.030343 | 2016-08-18T05:21:20 | 2016-08-18T05:21:20 | 65,005,206 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 718 | py | #!/usr/bin/env python3
OPERATION_COUNT = 4
simple_collection_of_lambdas = [None] * OPERATION_COUNT
#set up the lambdas for calculator
def setup_lambdas():
#add
simple_collection_of_lambdas[0] = lambda x, y: x + y
#subtract
simple_collection_of_lambdas[1] = lambda x, y: x - y
#multiply
simple_collect... | [
"adijnair@gmail.com"
] | adijnair@gmail.com |
5934e0899c738d89b998b2594786891958736c99 | 933a4f98b3ab1df987bce525d20ca904b225140f | /scripts/common/gerrit/query.py | ffea6bdf65921d27e1df63902163c310d54f0365 | [
"BSD-3-Clause"
] | permissive | mcgreevy/chromium-build | 3881c489b4d9be2f113da755487808b3593f8156 | f8e42c70146c1b668421ee6358dc550a955770a3 | refs/heads/master | 2020-12-30T12:32:15.685191 | 2017-05-17T06:58:18 | 2017-05-17T06:58:18 | 91,419,271 | 0 | 2 | NOASSERTION | 2020-07-22T09:27:35 | 2017-05-16T05:52:45 | Python | UTF-8 | Python | false | false | 5,859 | py | # Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import urllib
################################################################################
# Gerrit API
################################################... | [
"zty@chromium.org"
] | zty@chromium.org |
14c4afa7c0d18bc0eb4ddc092102498ed554f5ad | 1af050f5fce1e500d688e325876107d696eb8159 | /pythonprac/bin/easy_install-3.7 | 55d12364ae5d829cf69d629922b828061c904d7d | [] | no_license | Novandev/pythonprac | 30c587b1eb6ba6c1cd9a6f66b59c03c5c98ec0d4 | 78eded9f1d6d9b2f9ffc16e57139b10cc13355e1 | refs/heads/master | 2022-12-13T20:13:53.976110 | 2020-07-27T05:04:55 | 2020-07-27T05:04:55 | 108,077,649 | 0 | 0 | null | 2022-12-08T01:30:30 | 2017-10-24T04:42:31 | Python | UTF-8 | Python | false | false | 278 | 7 | #!/Users/novan/Desktop/Github/pythonprac/pythonprac/bin/python3
# -*- 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())
| [
"donovan.adams@students.makeschool.com"
] | donovan.adams@students.makeschool.com |
7dc54bea595127ad1357734ba33347c1f4cb9188 | c26e98676846ab321065e416ee8b3e2f5b1d4b43 | /PyPoll_Challenge.py | 6fa47eaa8b51b4dfb0beb98ed3f51a144c38e5f7 | [] | no_license | jaredcclarke/Election_Analysis | d510f401555515fdf8e601bfdab5b401b9ef9de9 | 512c2ee41ed8aec440e6e3b7f3459e58211a4e51 | refs/heads/main | 2022-12-26T15:11:30.816855 | 2020-10-12T06:03:51 | 2020-10-12T06:03:51 | 301,816,774 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,497 | py | # -*- coding: UTF-8 -*-
# """PyPoll Homework Challenge Solution."""
# Add our dependencies.
import csv
import os
# Add a variable to load a file from a path.
file_to_load = os.path.join("Resources", "election_results.csv")
# Add a variable to save the file to a path.
file_to_save = os.path.join("analysis", "election_... | [
"jared@Jareds-Air.fios-router.home"
] | jared@Jareds-Air.fios-router.home |
d547d4935857ad9e36b591b0da66d196ef409bef | 51903bfb827916bcf437cb29bf0eeefc438685e3 | /337easy.py | c18de0d1e97c766789122fad9d5b0573eb2f973d | [] | no_license | flyingdan/dailyprogrammer | 186a82e9324a7948058fe66291f9b9ab1828a8f8 | 684f3cb6d83478ddeb125805d69b81a773e22196 | refs/heads/master | 2021-07-19T06:35:20.670278 | 2017-10-25T20:10:07 | 2017-10-25T20:10:07 | 105,844,517 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 251 | py | # https://www.reddit.com/r/dailyprogrammer/comments/784fgr/20171023_challenge_337_easy_minimize_maximize/
# Area of circle = (pi)r^2
# Circumference of circle = 2(pi)r
# Area of sector covering x of circumference = rx/2
# x - angle subtended by arc | [
"1051205+flyingdan@users.noreply.github.com"
] | 1051205+flyingdan@users.noreply.github.com |
91a9bfc31c26aa2120baa0b5004b7fc8989683ab | 2fb2291259b27291d379df07712c5449819992a5 | /config.py | 31aadb55b848c588abbf76a2d9b57469d09fbf93 | [] | no_license | ChoungJX/doweb_server | 6d4dcb68c4eab5eda8125543f4c644bdaa4d7dfb | bbbfa34713badcf7f8e58c23171269dca0085437 | refs/heads/master | 2021-07-13T15:59:40.674541 | 2021-04-27T17:23:03 | 2021-04-27T17:23:03 | 244,540,264 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 342 | py | import datetime
class index():
SQLALCHEMY_DATABASE_URI = 'sqlite:///service.db'
SQLALCHEMY_TRACK_MODIFICATIONS = True
PERMANENT_SESSION_LIFETIME = datetime.timedelta(hours=2,minutes=30)
SEND_FILE_MAX_AGE_DEFAULT = datetime.timedelta(days=7)
#PERMANENT_SESSION_LIFETIME = datetime.timedelta(seconds=... | [
"zhenglinfeng43@gmail.com"
] | zhenglinfeng43@gmail.com |
824806407a297dd5bce984576799615452155162 | ee6fc02e8392ff780a4f0d1a5789776e4d0b6a29 | /code/practice/abc/abc068/a.py | b3800d499a667ec8af18bf78ae9c85b83569e746 | [] | no_license | mollinaca/ac | e99bb5d5c07159b3ef98cd7067424fa2751c0256 | 2f40dd4333c2b39573b75b45b06ad52cf36d75c3 | refs/heads/master | 2020-12-22T11:02:13.269855 | 2020-09-18T01:02:29 | 2020-09-18T01:02:29 | 236,757,685 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 67 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
print("ABC"+input()) | [
"morisyot@square-enix.com"
] | morisyot@square-enix.com |
048078b6d92b6a6cea61415ef5bbcb2f3fb1edbb | aef857a784b9028e6f13eddb3584660ac7575c3a | /Homeworks/Homework 2/Q5/Q5b.py | c2c7ea469d32a4a082125212b241531d5c65f572 | [] | no_license | pratikmistry0410/DSA-Spring2020 | 2a72cd21cefb0cce9e5c679be6825c3bbe74503d | 4b6d9a7a0d6ce025cdf0084de99ccface45be2cb | refs/heads/master | 2022-07-19T09:49:20.843643 | 2020-05-19T19:52:45 | 2020-05-19T19:52:45 | 259,977,141 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,145 | py | import time
# Global variable to calculate the complexity for algorithm and store the cutoff value to insertion sort
cutoff = 6
complexity_count = 0
# Function to read the dataset
def readDataset():
filename = "data0.32768" # Dataset file name
file = "/Users/learning/Documents/Pratik Mistr... | [
"noreply@github.com"
] | pratikmistry0410.noreply@github.com |
4676da0d782299dd3de0559176956456b31fd9e1 | 5bf1c5acaa09e7c3604a08cadac05fd913401491 | /run_grain_facet_from_params.py | 3b6dbf7a87ba349cac4c67f36cbd37db19a1195d | [] | no_license | gregtucker/mountain_front_model | b836641521c4627e2c6f2267cb7b4449a088d87f | 49ad583c55dc20aaa2bc08729068f2ec39e56f57 | refs/heads/master | 2021-01-17T14:46:53.591850 | 2018-09-24T13:45:04 | 2018-09-24T13:45:04 | 48,451,368 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,208 | py | # -*- coding: utf-8 -*-
"""
run_grain_facet_from_params.py: demonstrates how to instantiate and run
a GrainFacetSimulator from another Python script, passing parameters via
a dictionary rather than using a separate input file.
A note on time scales, in seconds:
Duration
(sec) (equiv)
--------------
1 s ~ 1 s
... | [
"gtucker@colorado.edu"
] | gtucker@colorado.edu |
16a8903ece9e78204eed8acc202a5f650cf59dd2 | 8a932cf081cdbcdee998b2e71ff5cc57a4799cbb | /pentakillers.py | dadc28ec0e1d3ffb3f9aae8a2664550075afd334 | [
"MIT"
] | permissive | vitaum88/pentakillers | 2c0b910daf38b9b47f315361e0046e4fc6e992ff | c930493bb4ff3ced65a48492569a7f5770c88d41 | refs/heads/main | 2023-06-30T13:42:08.659121 | 2021-08-02T19:04:20 | 2021-08-02T19:04:20 | 392,063,812 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,711 | py | import cassiopeia as cass
import arrow
import pandas as pd
import time
import requests
'''
Go to https://developer.riotgames.com/ and create a LOGIN. After that, you'll be taken to a screen with the API key.
There are 3 types of API keys in Riot Games:
- Development API (which is the default once you create a devel... | [
"noreply@github.com"
] | vitaum88.noreply@github.com |
0d8d56fe358d827f22efe436159e711e93ae5a8c | 87ba7263b2dcffcd952d0dee8dd42a9cc5142286 | /tensforflow_mnist.py | 4568bbd70fd6d989aa360fb55688e845d8d71b85 | [] | no_license | kpodlaski/NeuralNetworks2018 | 40064acf14522229a66333523a3cc7342ce507b4 | 1d143bc51bce94e80eb9e9d6c9b465ef174689ee | refs/heads/master | 2020-04-01T13:39:57.231298 | 2019-01-15T11:02:31 | 2019-01-15T11:02:31 | 153,261,867 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,235 | py | import tensorflow as tf
import numpy as np
net = tf.keras.models.Sequential([
tf.keras.layers.Flatten(input_shape=(28,28)),
tf.keras.layers.Dense(30,activation=tf.nn.sigmoid),#tf.nn.relu
tf.keras.layers.Dense(10, activation=tf.nn.softmax)
])
net.compile(optimizer=tf.train.GradientDescentOptimizer(0.5),
... | [
"podlaski@uni.lodz.pl"
] | podlaski@uni.lodz.pl |
4e2cb97de7241505f45b49f05c410dc4676b145b | e94dc3776101d5f3083cb2321ff47f76a269791d | /examples_save/examples_save/medusaCsvProcess.py | 0364397467cc80c76fad33293461c82638994854 | [] | no_license | nanjunda/fc_iscsi_scripts | d004b57c1d5b95eb9a1f196238d887640ecaf96f | 8ea16efb39833daa52223a1fcbd9a8dabe84589e | refs/heads/nanjunda-dev | 2021-09-04T10:11:49.252915 | 2018-01-17T21:38:59 | 2018-01-17T21:38:59 | 112,405,356 | 0 | 0 | null | 2018-01-17T21:35:36 | 2017-11-29T00:26:22 | Python | UTF-8 | Python | false | false | 499 | py | import csv
with open('x.csv') as csvfile:
readCSV = csv.reader(csvfile, delimiter=',')
next(readCSV)
count = 0
sum4=0.0
sum8=0.0
sum11=0.0
for row in readCSV:
s = str(row[4])
if "Avg" not in s:
count += 1
print(row[4],row[8],row[11])
sum4 ... | [
"noreply@github.com"
] | nanjunda.noreply@github.com |
866ea041035d1cf1c46a7455c4a1351d919e81e8 | 5b3eb673f6597b90acc98b48852417982924c5d6 | /users/views.py | 1919f9cdb270a67aa66acf8dce15ecc79da27b2b | [] | no_license | ritiksingh8/Buy-It-An-Ecommerce-WebApplication | 3e78d8ca35d167660bdbc5092ddabef41211335c | 6b9fd48e30660fd58ee0b6f3256fdab1b6a9b9a9 | refs/heads/master | 2020-12-01T18:13:46.229547 | 2020-02-16T12:34:15 | 2020-02-16T12:34:15 | 230,723,097 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,594 | py | from django.shortcuts import render, redirect
from django.contrib import messages
from .forms import UserRegisterForm
from shop.models import Products
from django.contrib.auth.models import User
from .models import Cart
from django.contrib.auth.decorators import login_required
def register(request):
if request.m... | [
"ritik.singh@spit.ac.in"
] | ritik.singh@spit.ac.in |
67ef6df236a7de311ac3d78f352c53cc03be5d79 | e278055ba8efb122e88e6af2bff1e56b207942de | /extractors.py | f48d8f939973ded002832670ca897cbac198a5e1 | [] | no_license | ilay32/wals-project | 3e7f789bda1874909c02c2ea204b66de672f3a7f | 9ff9d16326d4af88655efb952b98a304bb80d028 | refs/heads/master | 2021-04-06T10:59:34.236027 | 2018-03-16T08:40:51 | 2018-03-16T08:40:51 | 83,216,194 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,079 | py | import re,logging
### globals ####
"""
match first numeric sequence as group(1), and make sure there are no
other numbers after it.
"""
numerizer = re.compile("(^\d+)([^\d]*$)")
"""
(tmp?) fallback for failed numerization.
"""
simplenumerizer = re.compile("(^\d+)")
### extractors ###
def natural(c):
"""
just ... | [
"silayster@gmail.com"
] | silayster@gmail.com |
106c381e4786484cc282efd00c668dcd74a0a99b | 420b062ab05f6dcbe718acfbb7fa92e380b03d25 | /runit_sfdc.py | de72019a86fd4cd675992b4640518d513d99dc89 | [] | no_license | fkoncz/sfdc---PoC-code | e130e5f8addfbd7dcbca55b5a93a3657baa694b6 | 076f27cddac17a7be65a04469cd509373ae62156 | refs/heads/master | 2022-04-03T10:23:24.234233 | 2020-02-14T03:10:00 | 2020-02-14T03:10:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 28,884 | py | import requests
import xml.dom.minidom
import collections
import time
import os
import zipfile
import base64
import beatbox
from runit_sfdc_ui import *
from random import choice
from string import ascii_lowercase
from Config.config_sfdc import *
from simple_salesforce import Salesforce
sf = Salesforce(username=ADMIN1... | [
"fkoncz@outlook.com"
] | fkoncz@outlook.com |
191e1a055ae6199a5c8835115f3f4c9f0708d3b9 | 68151600bd725c87047020e3f3e10e7b609ef113 | /main/migrations/0013_auto_20200527_2144.py | 55849a1241f1fa2d2e4b1b47eb46e5d3d8f0a01c | [] | no_license | rezendi/scanvine | 8a8bff3dad5342bf257319a35fbc0dd7b322e438 | cc8a41112e2f178617faa42056189d54b0d99785 | refs/heads/master | 2023-07-03T20:39:36.060393 | 2020-11-24T20:15:44 | 2020-11-24T20:15:44 | 257,799,825 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,162 | py | # Generated by Django 3.0.5 on 2020-05-27 21:44
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('main', '0012_auto_202005... | [
"jon@rezendi.com"
] | jon@rezendi.com |
e8b0c3235cae1f212444dfb8a51751d4dc4ad88f | c0717724c7dc3937252bb4a7bd7c796088db4c5d | /solutions/rijeci.py | f7bb3e0093b8d9f71b50155f01803ba70acde38f | [] | no_license | matthew-cheney/kattis-solutions | 58cd03394ad95e9ca7ffa3de66b69d90647b31ff | d9397ca4715a3ad576046a62bdd6c0fb9542d838 | refs/heads/main | 2023-01-24T12:49:18.871137 | 2020-12-10T04:10:48 | 2020-12-10T04:10:48 | 318,857,227 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 89 | py | K = int(input())
A, B = 1, 0
for k in range(K):
A, B = B, A + B
print(A, B) | [
"m.cheney95@outlook.com"
] | m.cheney95@outlook.com |
601c2feab2272fe4859dece473351049ed440a94 | 9117cee84a90c3c8a93028b5af67799e7ac5a802 | /CCC/CCC '12 S5 - Mouse Journey.py | 8e5e740163672ae2e0b5794ac50f7ba607b0f032 | [] | no_license | Stevan-Zhuang/DMOJ | 7a1fc3b00d553dcbb2e7069d046c4922fdf2286e | b0c7b1e52473e71e3b4a1f15fc34e35c9f5bd92c | refs/heads/master | 2023-06-16T16:34:36.497282 | 2021-07-15T20:09:32 | 2021-07-15T20:09:32 | 292,061,961 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 673 | py | num_rows, num_cols = [int(data) for data in input().split()]
num_paths = [[0] * num_cols for row in range(num_rows)]
num_paths[0][0] = 1
num_cats = int(input())
for cat in range(num_cats):
row, col = input().split()
row, col = int(row) - 1, int(col) - 1
num_paths[row][col] = -1
for row in range(num_rows):... | [
"noreply@github.com"
] | Stevan-Zhuang.noreply@github.com |
3e63ae681a9a108917e4e8eb68534010225514bd | cfc804a95325bba903300bdc0984d57316e20861 | /ID Scanner/yolo/frontend.py | 83633e175c23fcf9d88e6e36a170c019421bf846 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | Haomin-Yu/Smart-Bartender | 3408d849779d3cec56a8dfb4822790eb5b39afc0 | 52e9ff7e7ab8ffc13e248f20cebf110ed9897a5d | refs/heads/master | 2022-07-22T18:02:04.083038 | 2019-12-10T19:56:33 | 2019-12-10T19:56:33 | 213,276,187 | 1 | 0 | MIT | 2022-07-06T20:25:19 | 2019-10-07T02:00:31 | Jupyter Notebook | UTF-8 | Python | false | false | 6,181 | py | # -*- coding: utf-8 -*-
# This module is responsible for communicating with the outside of the yolo package.
# Outside the package, someone can use yolo detector accessing with this module.
import os
import numpy as np
from yolo.backend.decoder import YoloDecoder
from yolo.backend.loss import YoloLoss
from yolo.backe... | [
"xinyug2@uw.edu"
] | xinyug2@uw.edu |
c4a735ef7e38d09ec514e43a3557b1d581e8db67 | b3e39afef4ddac88f1391964995c2eefd02818e7 | /CantUseFour.py | e114529ae5c0e7df55d188f30bf5f8355f1ac7c3 | [] | no_license | ommmishra/randomPrograms | 44628e3c4b381e14b8d908342dcb9b7a854284c2 | f52f3b0b485b310b9d5429667fba9422b6af045c | refs/heads/master | 2022-02-25T08:12:25.656096 | 2022-01-19T15:08:14 | 2022-01-19T15:08:14 | 179,322,921 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 90 | py | n = "44523432342343243234237"
x = n.replace("4","3")
z = int(n) - int(x)
print(x)
print(z) | [
"ommmishra830@gmail.com"
] | ommmishra830@gmail.com |
eccd89a0b9800c91f111c41cba906f0bace5a4ff | f361f4477577716ab3e8796c787157e43b2f9178 | /training/python-training/number_game_2.py | ac3f9357ec9eb22351ea7a4f999f5241704c8e9f | [] | no_license | drewmullen/personal | edba910f5ea3a6311094d2b2047e522e700e5219 | 37995ad786bf1926d02cdb02ac7bb11ead9641ae | refs/heads/master | 2021-09-13T02:48:53.239667 | 2018-04-24T03:15:00 | 2018-04-24T03:15:00 | 83,120,385 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 896 | py | import random
secret_num = random.randint(1,10)
def main():
counter = 0
while counter < 6:
guess = take_input()
input_eval(guess)
counter+=1
print("Too many guesses, you lose!")
exit()
def take_input():
try:
guess = int(input("Guess a number between 1 and 10: "))
# ... | [
"drew.mullen@ge.com"
] | drew.mullen@ge.com |
e957134d472c84d28c43e089b40cdb76ab62d681 | 64314270bfa5d14d13944ccf9d1fb15085a1ca68 | /Problema 1/naive_bayes/naive_bayes.py | 3a8f4ac2c700be49419fb56625b482b91b6f575c | [
"MIT"
] | permissive | jarvis-fga/Projetos | bfef5becc31e15850410194a847a3e4396dd31a3 | 59b89527e8b9ddb4caf353eb85b229ec27eae2a3 | refs/heads/master | 2021-01-19T13:41:15.855101 | 2017-11-28T17:12:24 | 2017-11-28T17:12:24 | 100,855,314 | 2 | 1 | null | 2017-11-28T17:12:24 | 2017-08-20T10:54:56 | Jupyter Notebook | UTF-8 | Python | false | false | 974 | py | import csv
def carregar_acessos(arquivo_nome):
dados = []
marcacoes = []
arquivo = open(arquivo_nome, 'rb')
leitor = csv.reader(arquivo)
leitor.next()
for P1,P2,P3,P4,P5,P6,P7,P8,P9,P10,P11,P12,P13,Origem in leitor:
dados.append([float(P1), float(P2), float(P3), float(P4), float(P5), float(P6), float(P7), flo... | [
"lucasandradeunb@gmail.com"
] | lucasandradeunb@gmail.com |
adef9bc871758731eed912cc5563b6f355987ed3 | ec03d9949eb202c9de6c163566d7edffd583db93 | /dags/hello_world.py | 515b4e25dbc49b07eb81865d92302d7164e7deff | [] | no_license | tomatohope/airflow | 770ba89dd68259566969259c08bb63071d24248a | 8cbb9f94edf10fb66bddcd522fa71c8a186b4e6d | refs/heads/master | 2021-07-21T03:26:34.251577 | 2021-01-08T09:31:44 | 2021-01-08T09:31:44 | 231,941,543 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,614 | py | # coding: utf-8
import os
import airflow
from airflow import DAG
from airflow.operators.python_operator import PythonOperator
from datetime import datetime as datetime1, timedelta
import datetime as datetime2
# interval time: 与 schedule_interval=timedelta(days=1), 一致
dt = datetime1.now() - datetime2.timedelta(days=... | [
"hope.gong@jingdigital.com"
] | hope.gong@jingdigital.com |
0769073e54f97a7b28ca46674614b73ce89d67c6 | 37906b41991719dff0590f9161f9b69af8d7e491 | /tensorflow/python/tpu/tensor_tracer.py | b9aec3f2e26e5272030fbfb380877f6d6a789d29 | [
"Apache-2.0"
] | permissive | nauman07/tensorflow | 7ae4277564bb596c0f8ba5d107a35d9505c3c2fb | f88cf68393e60525506a567e0081b8e2e6db409b | refs/heads/master | 2020-08-28T15:55:35.510154 | 2019-10-26T15:34:58 | 2019-10-26T15:39:08 | 217,742,698 | 3 | 0 | Apache-2.0 | 2019-10-26T17:11:10 | 2019-10-26T17:11:09 | null | UTF-8 | Python | false | false | 66,668 | 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 |
f6d5d30640cd3cfa6990ed9c790c621a34e1b867 | db7aa767430bab121142bf00812751ac6c0da3cc | /bin/2020_day_06.py | f12a032c0798fe86ed0c73d74032f4a5cb698525 | [] | no_license | osterbek/adventofcode | 64f4383e1532987732d1ed9fa673f279c4106bd3 | fdb017f0efdf4fdccc4e41874579e826ec1d02fc | refs/heads/main | 2023-02-05T19:30:25.868594 | 2020-12-25T09:18:18 | 2020-12-25T09:18:18 | 320,618,733 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 909 | py | from pathlib import Path
if __name__ == '__main__':
content = Path('../input/input_2020_06.txt').read_text().split('\n\n')
dataset = []
for group in range(0, len(content)):
dataset.append(content[group].split('\n'))
questions = [chr(value) for value in range(97, 123)]
solution = [... | [
"noreply@github.com"
] | osterbek.noreply@github.com |
1a5134d5029d306a341b613d4b8f710505dd01e7 | 2d18404c29d4031d92d2eea5fdb583d01822824c | /Ecommerce_Project/App_Order/apps.py | 0db55b0dd6104f9a9a0f4c17eed8e851574a5c95 | [] | no_license | ShamimMSAS7/CSE470-Project | 5eb22eb189f51131c27b843f69470c3459579b83 | c0063b42612cead988e5b13c652f18459931a3f9 | refs/heads/main | 2023-08-04T17:00:02.200085 | 2021-09-17T17:33:20 | 2021-09-17T17:33:20 | 402,445,678 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 149 | py | from django.apps import AppConfig
class AppOrderConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'App_Order'
| [
"shamimmsas7@gmail.com"
] | shamimmsas7@gmail.com |
b1c18147b5e2ae4f5dac680af85aad00eeae7872 | 1d8b108cb5720917c2de0b87f58db40349b82c3d | /get_data_gov_sg_met.py | 06904d7660f5904214d6e6b1282f0d4256dbab09 | [
"MIT"
] | permissive | tangshiyuan/access-data-gov-sg | baff5b3124d2b17bc7b3006fbdbf26d0d15f8ec3 | a5b013475162c6ea2deccf42e4ab9d0ea2d97dd5 | refs/heads/master | 2020-03-11T14:31:45.266000 | 2018-04-23T14:09:42 | 2018-04-23T14:09:42 | 130,057,244 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,666 | py | #!/usr/bin/env python3
"""
get_data_gov_sg_met.py:
Download meteorological station data (and/or air quality data) for a specific month via the
data.gov.sg APIs.
API key requirement:
In order to use this script, an API key needs to be obtained via
https://developers.data.gov.sg.
Usage:
To download... | [
"benjamin.grandey@gmail.com"
] | benjamin.grandey@gmail.com |
52f7b8091977541e4b8412d8743831f8ae5c963c | 28c69e41de8054279d6b8ebf2788693c1dfde159 | /33 雷家硕 上海/第一次作业/第二节课之熟悉embedding.py | 3aeb07dacb8bdd2d6d78da08db406710abad0ac9 | [] | no_license | edmlover/badouai-tujiban | 45260aad27da78c6c34c991f06568fe2adb7c324 | 088080ea1f617e0ce64655f8389288101e277702 | refs/heads/main | 2023-08-15T11:33:57.830821 | 2021-10-16T14:25:31 | 2021-10-16T14:25:31 | 409,547,422 | 0 | 2 | null | 2021-09-23T10:33:02 | 2021-09-23T10:33:01 | null | UTF-8 | Python | false | false | 422 | py | import torch
import torch.nn as nn
num_embeddings = 6#字符集的大小
embedding_dim = 3#每个字符向量化后的维度
embedding_layer = nn.Embedding(num_embeddings, embedding_dim)#指定生成的随机初始化的矩阵的行列
print(embedding_layer.weight,"随机初始化矩阵")
x = torch.LongTensor([1,2,5])#给定字符编号,也就是输入
embedding_out = embedding_layer(x)
print(embedding_out)
| [
"noreply@github.com"
] | edmlover.noreply@github.com |
545c14b1b076d85bfb13ffa68e1b7ccb88aab197 | 8ec32cd65ba298a194887566ba9b4d0f8cd18893 | /moviedatabase.py | ea0bf255e32330d3eab089ee0229fca0cc70aa02 | [] | no_license | yvonnebutselaar/data-driven-design | b82f4ec2ab6efbf80852cd654e9e69b337af44ef | 7a723fb57d04eb64a15a5521cd4d87324599ebb7 | refs/heads/master | 2020-03-29T15:49:43.483908 | 2019-01-17T19:41:11 | 2019-01-17T19:41:11 | 150,082,676 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 257 | py | import json
with open("movies.json") as f:
movies = json.load(f)
ayear = input("What year do you want to see?")
for items in movies:
if str(items["year"]) == ayear:
print(f'{items["title"]} is a movie from {items["year"]}')
f.close() | [
"yvonnebutselaar@gmail.com"
] | yvonnebutselaar@gmail.com |
edb367901d6a40a0fc07e0cb1fbefce67e8619fe | 08b640c667f69b449f02ff6b41d9c6a4bc804947 | /csduarte/ex35/sd2.py | a346aaf891197513b52bd00e419bef3593e7c2f1 | [] | no_license | csduarte/FunPy | db2ad9e60849820a823b0fcf7dd5c15d70ec0c5a | 2a73e975dc6617f1fe11fc5b5ed7243f95bb865d | refs/heads/master | 2021-05-04T11:21:02.010283 | 2016-10-07T00:24:13 | 2016-10-07T00:24:13 | 48,732,399 | 0 | 0 | null | 2016-10-07T00:24:14 | 2015-12-29T06:48:26 | Python | UTF-8 | Python | false | false | 50 | py | # Looks good. Cleared up a few caps and what not.
| [
"csduarte@gmail.com"
] | csduarte@gmail.com |
d5c8cacfbea754c24822fed7168c9ea69133b51e | 56fe5ad50f01e347182f75b984e97f5b7ac4d647 | /security_in_memory_db.py | b3c8dd1f3784fda121e1d4c45d15b0505afd46e2 | [] | no_license | leenjiru/Sonia_books | e6a18033155e808339b6786018c3bdaca99fcf72 | 3cb752160eb789d9155482701fd581eb4aa8d170 | refs/heads/master | 2023-03-24T11:37:41.607157 | 2020-07-22T23:38:17 | 2020-07-22T23:38:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 778 | py | # this applies when using an in memory db
from models.users import UserModel
from werkzeug.security import safe_str_cmp
# users = [
# {
# 'id': 1,
# 'username': 'Nick',
# 'Password': 'password'
# }
# ]
users = [
UserModel(1, 'Nicky', 'password1')
]
username_mapping = {u.username: ... | [
"www.leenick@gmail.com"
] | www.leenick@gmail.com |
e8a67b91c6b02523eb9741b4118764bca75190c1 | cbb29f7a30b5de0dc2cb421edc259d6ce2586279 | /tests/fixtures/readme_book.py | a9e759336c311c41d1228ce0baafcb0cb304adf2 | [] | no_license | Madoshakalaka/python-typing-to-typescript | a4ebd58ff22f85fe1d2affcd32390ae5e8f19104 | d5fd19b7f804a5e95f8b62a4d208c98d5b830593 | refs/heads/master | 2023-02-02T05:55:23.095977 | 2020-12-22T22:38:23 | 2020-12-22T22:38:23 | 321,219,843 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 291 | py | from typing import TypedDict
class Book(TypedDict):
pages: int
chapters: List[Chapter]
Authors: List[str]
class Chapter(TypedDict):
title: str
# short chapters only has one paragraph
content: Union[str, List[Paragraph]]
class Paragraph(TypedDict):
content: str | [
"syan4@ualberta.ca"
] | syan4@ualberta.ca |
25dd87758892b414426ec0e9c48e05fb4ac4a527 | a4a44ad46cd1306e2da72ff89483b0102fc9787d | /SamplePython/Developer Tool/fab_fabric/pengenalan_dr_web/11_settings.py | 8a018fc9d73ccd0692dcf6cf3d3a40dad2777d35 | [] | no_license | okipriyadi/NewSamplePython | 640eb3754de98e6276f0aa1dcf849ecea22d26b1 | e12aeb37e88ffbd16881a20a3c37cd835b7387d0 | refs/heads/master | 2020-05-22T01:15:17.427350 | 2017-02-21T04:47:08 | 2017-02-21T04:47:08 | 30,009,299 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 333 | py | """
settings (fabric.context_managers.settings)
When you need to temporarily (i.e. for a certain command chain),
you can use the settings statement (i.e. override env values).
Usage examples:
"""
from fabric.api import settings, sudo
# Perform actions using a different *user*
with settings(user="avionics"):
sudo... | [
"oki.priyadi@pacificavionics.net"
] | oki.priyadi@pacificavionics.net |
ad5ff59ea22ba3812b95850738f8c40ca4e9036d | d19a463c154da8e66330450d8462d1c4d6de3cc1 | /server/data/sp500.py | c725d6384d1d1d94739c2f624948942607e13ade | [] | no_license | nhatduy227/StockApp | 7209ede008205de1f8b2997ed2d8d8677bad43ea | 5a2dc2153d92eb8afba1dfd4b61b6a849f237b9b | refs/heads/master | 2023-07-14T06:48:02.937346 | 2021-09-02T18:22:13 | 2021-09-02T18:22:13 | 390,561,887 | 3 | 1 | null | 2021-08-29T23:35:36 | 2021-07-29T01:33:13 | JavaScript | UTF-8 | Python | false | false | 1,728 | py | '''S&P 500 Stock Reader
The script reads in all companines in the Standard & Poor Index, provided by Wikipedia.
It then grabs the historical stock price of each ticker and saves them in PyStore. Then,
continuously adds in end-of-day stocks daily.
'''
import pandas as pd
import yfinance as yf
from sqlalchemy import cr... | [
"aowangphilly@gmail.com"
] | aowangphilly@gmail.com |
4e8a125a7458dd004507e648e9417922ad85affe | 14d7f5f83b6f84871ff6ebfa0af4c17b7115a33f | /eco_models/mpb/integration_stop.py | f391a20c2a14bae90e14d4ebe8bd5777a3fa7d32 | [] | no_license | tonychangmsu/Python_Scripts | 8ca7bc841c94dcab36743bce190357ac2b1698a5 | 036f498b1fc68953d90aac15f0a5ea2f2f72423b | refs/heads/master | 2016-09-11T14:32:17.133399 | 2016-03-28T16:34:40 | 2016-03-28T16:34:40 | 10,370,475 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 736 | py | # Title: integration_stop.py
# Author: Tony Chang
# Date: 10.26.2015
# Abstract: Attempt to find a solution to determining where the cumulative sum (numerical integration), of a array of
2D matricies sum up to one (find the index)
import numpy as np
#first suppose we have a 3D matrix of values under 1... | [
"tony.chang@msu.montana.edu"
] | tony.chang@msu.montana.edu |
b593fcc836a48a7354d9240bfcd92cf6de664747 | 992f080016e7de4e3de9ff875a9778404c6c8fdc | /app.py | 528c58018f342d6301ce0278c345f7c43269f087 | [] | no_license | Garasuno/lineBot2 | 9c50903c26fc27947dfca7b5fd8915779aa2b1a4 | 034cf2ed295710cb3f04483cc36f8d0bc15a462d | refs/heads/master | 2020-06-10T13:37:15.646984 | 2019-09-03T07:09:11 | 2019-09-03T07:09:11 | 193,651,533 | 0 | 0 | null | 2019-06-25T06:51:46 | 2019-06-25T06:51:46 | null | UTF-8 | Python | false | false | 1,592 | py | from flask import Flask, jsonify, request
import os
import json
import requests
app = Flask(__name__)
@app.route('/')
def index():
a=os.environ['Authorization']
return "นางสาวนฤภร สัมมา เลขที่ 10 ชั้น ม.4/9"
@app.route("/webhook", methods=['POST'])
def webhook():
if request.method == 'POST':
retu... | [
"noreply@github.com"
] | Garasuno.noreply@github.com |
64940b59557a57f6050239f90c6e4c8057f3ca09 | 7becb767c5536f450d9aa83821c2a62a0b66175a | /admintools/round_lib/get_round_id.py | 90fc6b42835245bf12461b4b1a8a8f3cf9a678a8 | [] | no_license | urirot/planetWarsRunner | af69837cc8f83902505bbe1f4628aaee7476348a | 76e0458115ebbe581c104d569ad17899dae78fb3 | refs/heads/master | 2021-01-01T17:55:33.012912 | 2018-07-04T19:06:04 | 2018-07-04T19:06:04 | 98,202,326 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 582 | py | #! /usr/bin/python
from urllib import urlopen
import json
import sys
from config import *
if len(sys.argv) != 3:
print "Usage: ./get_round_id.py <tournament id> <round number>"
sys.exit(2)
tourn_id = sys.argv[1]
round_number = sys.argv[2]
url = HOST + "tournaments/%s/round_by_name?name=%s" % (tour... | [
"gazolin@gmail.com"
] | gazolin@gmail.com |
986d5bf4bc52b34aa41124711f6c80c7e1957253 | 4538728d33a8700e5bec08ec0d7b05480e042902 | /utils/send_email.py | 7f3a23ccb391e13913a08307e567cd922bcea390 | [] | no_license | Faouzizi/Alerting-System | 5b841a7374da0012bc0a9a8111d8925139ce89a7 | 98fdf263efb0f3e007bf666fb355ec3cede44076 | refs/heads/main | 2023-01-19T02:00:19.773848 | 2020-11-26T01:11:01 | 2020-11-26T01:11:01 | 314,676,909 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,533 | py | #############################################################################
########### Import python packages
#############################################################################
import smtplib
import config
from utils.get_templates import get_html_template
from email.mime.multipart import MIM... | [
"noreply@github.com"
] | Faouzizi.noreply@github.com |
a15574410724ba4ab74e9a614969967bd761fc75 | 242fc8beff7e1e51b5cdd9bfa3d118267f56861d | /shunting_yard/parser.py | dd42d72177d0963e445e9387f19599b0eaaefeaf | [] | no_license | gmkvaal/shunting_yard | dac0dd780cf2c779f410edad54f72618c5379f80 | d84b0c4aa3c36aff435ede5252f143182f656fc0 | refs/heads/master | 2021-07-23T12:14:48.666536 | 2017-11-03T13:08:13 | 2017-11-03T13:08:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,794 | py | from typing import List
from collections import namedtuple
from enum import Enum, auto
from .tokenizer import tokenizer
StateRet = namedtuple('StateRet', ['next_state', 'increment'])
class StateType(Enum):
NUMBER = auto()
def classify_token(token: dict, operator_stack: List[str], output_queue: List[str]) -> S... | [
"guttorm.kvaal@gmail.com"
] | guttorm.kvaal@gmail.com |
455eb5dcfc9b2227454cfd2a1ff46a485409a8ad | 3b7d8027e34f2338517d9c34f82bb02eb88de201 | /Vote.py | b8027b299ae5b4a3e556f3b8b20d8304c2ad44ca | [] | no_license | amishofficial/decentralizeVoting | 44dd2dd0fb4f4779a59503ff87e8cbfeea9d0028 | e957e317958173b4ba006518c8b87dfbb765593a | refs/heads/main | 2023-03-08T13:03:45.835971 | 2021-02-24T11:27:40 | 2021-02-24T11:27:40 | 341,876,887 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 681 | py | from collections import OrderedDict
from utility.printable import Printable
class Vote(Printable):
"""A transaction which can be added to a vote_block in the votechain.
Attributes:
:voter: The voter of the coins.
:vote_to: The vote_to of the coins.
:signature: The signature of the tra... | [
"noreply@github.com"
] | amishofficial.noreply@github.com |
9ae067e5cd4eccc2e3a324cc2e07669caccf8637 | 6630694f401f6f475dd81bb01ff9368db844ccff | /configs/_base_/models/hrnet/hrnet-w48.py | f0604958481ba2af277e3a0f9515dc1423def6c6 | [
"Apache-2.0"
] | permissive | open-mmlab/mmpretrain | 98a4d6b3bb747efc3d50decebf84fc3ffa41076a | d2ccc44a2c8e5d49bb26187aff42f2abc90aee28 | refs/heads/main | 2023-08-30T19:11:24.771498 | 2023-08-23T02:45:18 | 2023-08-23T02:45:18 | 278,415,292 | 652 | 186 | Apache-2.0 | 2023-09-08T08:01:40 | 2020-07-09T16:25:04 | Python | UTF-8 | Python | false | false | 418 | py | # model settings
model = dict(
type='ImageClassifier',
backbone=dict(type='HRNet', arch='w48'),
neck=[
dict(type='HRFuseScales', in_channels=(48, 96, 192, 384)),
dict(type='GlobalAveragePooling'),
],
head=dict(
type='LinearClsHead',
in_channels=2048,
num_class... | [
"noreply@github.com"
] | open-mmlab.noreply@github.com |
170f4291b543e014fadf954a0e8b37173c22f52f | 965e1e205bf053d93b32be0dab4d45455b42b3a2 | /NLP/PartsSpeech.py | 29aa35ab37a1d1ca416e2d528400a686da8f4ba4 | [] | no_license | panditdandgule/DataScience | 9e58867dd960ec554e0bbb8e4ce93baa226ab927 | 3eb59c129d81a6ba6b45e24113e25e63d19c60cb | refs/heads/master | 2021-07-22T21:44:12.700518 | 2020-05-14T12:01:05 | 2020-05-14T12:01:05 | 166,497,260 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 669 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Dec 15 19:59:50 2018
@author: pandit
"""
import nltk
from nltk.corpus import state_union
from nltk.tokenize import PunktSentenceTokenizer
train_text=state_union.raw("2005-GWBush.txt")
sample_text=state_union.raw("2005-GWBush.txt")
custom_sent_tokeniz... | [
"panditdandgule777@gmail.com"
] | panditdandgule777@gmail.com |
5d9a526f41762caa210b4add3fe922444501227d | 1546f47a68577c55371d61d9805d890fddf843d5 | /Arthur/events/filters.py | 4c0aeb65c0fcf2f8dd463090bb5dc37135f85a58 | [] | no_license | tadgh/Arthur | b24299fc4edc5eba424e3007389e2a469a38e1a0 | 6ff839904973b8c3ad3eecb677cb9f3e3bbc1934 | refs/heads/master | 2022-12-14T13:34:44.610442 | 2020-04-28T04:37:07 | 2020-04-28T04:37:07 | 189,875,591 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 160 | py |
from django_filters import rest_framework as filters
class LeaderboardFilter(filters.FilterSet):
posted = filters.DateFromToRangeFilter(field_name='date') | [
"garygrantgraham@gmail.com"
] | garygrantgraham@gmail.com |
f70d4e2e4894ba7b8637af7ba93f753c0b5faa18 | e23a4f57ce5474d468258e5e63b9e23fb6011188 | /115_testing/examples/Github/_Level_1/python_unittests-master/sample_functions.py | 8d63bc99d2a30ac0321b97976440c0d8474e1244 | [] | no_license | syurskyi/Python_Topics | 52851ecce000cb751a3b986408efe32f0b4c0835 | be331826b490b73f0a176e6abed86ef68ff2dd2b | refs/heads/master | 2023-06-08T19:29:16.214395 | 2023-05-29T17:09:11 | 2023-05-29T17:09:11 | 220,583,118 | 3 | 2 | null | 2023-02-16T03:08:10 | 2019-11-09T02:58:47 | Python | UTF-8 | Python | false | false | 204 | py |
def sum(a, b):
return a + b
def contains_numbers(alpha_num_str):
for char in alpha_num_str:
if char.isdigit():
return False
return False
def div(a, b):
return a / b | [
"sergejyurskyj@yahoo.com"
] | sergejyurskyj@yahoo.com |
ee1b43a7f7c4f3012ce2cae10f1509013f318252 | 4564b5786932bd5a94f442a2eae170564e12640b | /python/NaverMovieCrawling.py | 9f08c4b89a304193341b12545e911ac0ae60723a | [] | no_license | slomeer/sparta | 60feb9d5e9ecebedca1d08735f4c99912deb39c6 | bd96e3700c10bebd0c3e742fb35f4151f88a7e89 | refs/heads/master | 2021-03-15T04:44:54.479873 | 2020-06-15T06:44:46 | 2020-06-15T06:44:46 | 246,825,166 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,127 | py | import requests
from bs4 import BeautifulSoup
# 타겟 URL을 읽어서 HTML를 받아오고,
headers = {'User-Agent' : 'Mozilla/5.0 (Windows NT 10.0; Win64; x64)AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.86 Safari/537.36'}
data = requests.get('https://movie.naver.com/movie/sdb/rank/rmovie.nhn?sel=pnt&date=20200303',headers=he... | [
"61731412+slomeer@users.noreply.github.com"
] | 61731412+slomeer@users.noreply.github.com |
d4a278c814384d490f690a077bab77a109b60b57 | 0ad79e7104500b5988f07e9f19f17a540f07605a | /Python算法指南/动态规划/67_最小和子数组_灵活运用动态规划.py | 3273d8c3606054f4d873463057975d507015c93a | [] | no_license | tonyyo/PycharmProjects | f0ce458ed662e33e75ddffbfcf28b0d1ed638743 | a28620923336c352103858e0ccfc4117d1c4ea01 | refs/heads/master | 2022-09-19T02:02:15.919201 | 2020-06-03T12:57:38 | 2020-06-03T12:57:38 | 263,204,131 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 551 | py | class Solution:
def minSubArray(self, nums):
MIN = 65536
SUM = nums[0]
for i in range(1, len(nums)):
SUM = SUM + nums[i] if SUM < 0 else nums[i] # SUM > 0有害于最小和
MIN = min(MIN, SUM)
return MIN
if __name__ == '__main__':
temp = Solution()
List1 = [1, -1... | [
"1325338208@qq.com"
] | 1325338208@qq.com |
6c34ab7d080c5769a3dcf15d2a5cfd4dce22ea9d | 394742b366c0eed8997e8c4058daa1e122fffdf3 | /Lesson23/manage.py | 3081204679636e0df707aa01ca17a805669e6dc5 | [
"MIT"
] | permissive | IslamRaslambekov/HomeWork | e293468d73998f7f5e5e8f50a318546a01a6d593 | a1454c3539edf7475de686383cee8db9f1bdf448 | refs/heads/master | 2022-05-07T02:46:48.916601 | 2022-04-29T01:38:42 | 2022-04-29T01:38:42 | 243,369,694 | 0 | 1 | MIT | 2022-04-14T10:25:28 | 2020-02-26T21:29:16 | CSS | UTF-8 | Python | false | false | 664 | py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
"""Run administrative tasks."""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'Lesson24.settings')
try:
from django.core.management import execute_from_command_line
except Imp... | [
"rodoslav12345@gmail.com"
] | rodoslav12345@gmail.com |
13989c3455665529fd642327e8ef34cd1679e3aa | 743057b36fda035eb8e6378f0c192ca4e2abf76e | /toMap.py | 4e527f566d14f32355e1c1308db25b20b02582a2 | [] | no_license | haegray/Python-and-Java-Files | f53ffa0a6872d7f29328353bbf7e63d98b796250 | 0b6fcc0158711b184ee1bf4b59f6dc835361e03a | refs/heads/master | 2021-01-13T14:39:06.230924 | 2016-12-23T17:10:45 | 2016-12-23T17:10:45 | 76,681,884 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 109 | py | #toNumbers.py
def toMap(strList):
for i in strList:
return (map(float,i))
toMap()
| [
"anaisgray.ag@gmail.com"
] | anaisgray.ag@gmail.com |
716139a42c9d3176dc33f024f607d86df864e7be | b5cd2a7828acdaebd49964ac93be7085bea0d011 | /carte.py | c4e4e9aa68d71d16ec5026c7e3144cfd0e940827 | [] | no_license | stevchen99/pythonRoboc | e5576930cd9295c08336ad3754c7a4e326e5a8a5 | 5301be8e918ce6b3c36b491e02c8aaddd520eb4e | refs/heads/master | 2020-12-08T16:44:46.439760 | 2020-01-17T18:03:39 | 2020-01-17T18:03:39 | 233,036,407 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 340 | py | # -*-coding:Utf-8 -*
"""Ce module contient la classe Carte."""
class Carte:
"""Objet de transition entre un fichier et un labyrinthe."""
def __init__(self, nom, chaine):
self.nom = nom
self.labyrinthe = creer_labyrinthe_depuis_chaine(chaine)
def __repr__(self):
return "<Carte {}... | [
"stevchen99@gmail.com"
] | stevchen99@gmail.com |
3f2d06c3d1274caa259fdb14604ed63acc54c4a3 | e950cafc9feeeacba9d40b18477dab43bb8737bf | /src/lab1/tfs_client.py | a184cf7077222781caa9649835a758e543e1b1d3 | [
"MIT-0"
] | permissive | aws-samples/aws-inf1-gcr-workshop | fe21b4637f09a2c51a977aaea999a20c31b43277 | a5712c17a66809fc60cd57a056a00df3b9b2fc8e | refs/heads/master | 2022-04-23T20:34:53.914422 | 2020-04-28T02:36:42 | 2020-04-28T02:36:42 | 254,085,220 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,791 | py | '''
Copyright Amazon.com, Inc. or its affiliates. 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.
A copy of the License is located at
http://www.apache.org/licenses/LICENSE-2.0
or in the "license" fi... | [
"zhazhn@amazon.com"
] | zhazhn@amazon.com |
5e85990864fdcde2e416a6a7d1e2c645b29cd5de | 93b866284ca1ac29c5005555f2cb30454a0fb5cf | /Problems/59-Problem/Problem 59.py | 7f38e437f006d4d25166047a46688def172fbf69 | [] | no_license | FrancoisdeFouchecour/Projet-Euler | c2b17d1e35fbd10a708ba3221825a62a17818382 | 0cf70457c0418264c2eff7cdd0e92a07b61ecb07 | refs/heads/master | 2021-12-25T05:44:08.054648 | 2021-11-27T21:47:42 | 2021-11-27T21:47:42 | 168,253,571 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,087 | py | import time
import numpy as np
problem_number = 59
def decimal_to_binar(n):
if n == 0:
return 0
return n%2 + 10*decimal_to_binar(n//2)
def binar_to_decimal(n):
if n == 1 or n == 0:
return n
else:
return int(str(n)[-1]) + 2* binar_to_decimal(int(str(n)[:-1]))
def XOR(A, B... | [
"francois.de-salivet-de-fouchecour@polytechnique.edu"
] | francois.de-salivet-de-fouchecour@polytechnique.edu |
962ad189b3695ad55e5db43027b6e869b2817147 | fb408595c1edee0be293302c6d7bfc0c77d37c46 | /python/DP/DP_2096.py | a5753e0e8dda2057310f4dee0f056e7940fbb74d | [] | no_license | as950118/Algorithm | 39ad25519fd0e42b90ddf3797a61239862ad79b5 | 739a7d4b569057cdb6b6faa74254512b83d02bb1 | refs/heads/master | 2023-07-21T12:38:00.653579 | 2023-07-19T06:57:17 | 2023-07-19T06:57:17 | 125,176,176 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 610 | py | n = int(input())
arr = [0]*(3)
dp_max = [0]*(3)
dp_min = [0]*(3)
arr = list(map(int, input().split()))
temp = arr[:]
dp_max = temp[:]
dp_min = temp[:]
for i in range(1, n):
arr = list(map(int, input().split()))
temp[0] = max(dp_max[0], dp_max[1]) + arr[0]
temp[1] = max(dp_max[0], dp_max[1], dp_max[2]) + ... | [
"na_qa@icloud.com"
] | na_qa@icloud.com |
f443e27275903b151314c40311f6464aafca1b44 | 72784799e5436e8a96462bdbcb29baeb644dcc7f | /utilities/animate.py | 2c562e41c8ec2e736db293f0f772a55ff0091345 | [] | no_license | simonsben/undergrad_thesis | 31dd205cb734f7c876b5053040e5ab0bf8fbd5cb | 8458d00ae6525602b944279c2c280149a5957cb1 | refs/heads/master | 2020-04-02T10:46:55.255322 | 2019-04-08T06:01:48 | 2019-04-08T06:01:48 | 154,354,775 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 979 | py | from matplotlib.pylab import figure, show, savefig, title, axis, draw
from networkx import spring_layout, draw_networkx_edges, draw_networkx_nodes
from matplotlib.animation import FuncAnimation
def add_node(graph, i, plot_layout):
# draw_networkx_edges(graph, plot_layout, alpha=.3)
# draw_networkx_nodes(node,... | [
"simons.ben0@gmail.com"
] | simons.ben0@gmail.com |
52a608c85aa5b18e530c6cb0cae1d8d2f58b7ec4 | 14d8418ca5990217be67aee89fdaa310db03fbba | /test_stats_d_graph_display.py | fffe014750a15f323e8f39408530e03c6133cae4 | [
"Apache-2.0"
] | permissive | sachanta/lm-sdk-python | 3a16457bd2d5b880a0d238a88a9d1d5b8d9675f0 | e476d415c7279457f79b5d032a73d950af2fe96b | refs/heads/master | 2023-08-03T08:39:42.842790 | 2021-09-13T07:20:56 | 2021-09-13T07:20:56 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,445 | py | # coding: utf-8
"""
LogicMonitor REST API
LogicMonitor is a SaaS-based performance monitoring platform that provides full visibility into complex, hybrid infrastructures, offering granular performance monitoring and actionable data and insights. logicmonitor_sdk enables you to manage your LogicMonitor account... | [
"bamboo@build01.us-west-1.logicmonitor.net"
] | bamboo@build01.us-west-1.logicmonitor.net |
1bcb03882cd8aba3be9ee674c15f8f2ca62224bf | 42170b78e5277d96a33b8d796e3075a378723aa8 | /dataxHWSp2021/Practice Homework/Numpy_Pandas/student/tests/q1d.py | dca0b114bbcac2ff4f73cc5d33860855e83c8837 | [
"Apache-2.0"
] | permissive | 6shun/datax | e3d4d32295c26a6e62c6cd1ae2cabdd9b2f1addf | f912d22c838b511d3ada4ecfa3548afd80437b74 | refs/heads/main | 2023-03-03T09:51:35.255111 | 2022-01-21T16:13:34 | 2022-01-21T16:13:34 | 338,253,155 | 1 | 0 | null | 2021-02-12T07:42:14 | 2021-02-12T07:42:14 | null | UTF-8 | Python | false | false | 392 | py | test = { 'name': 'q1d',
'points': 1,
'suites': [ { 'cases': [ { 'code': '>>> isinstance(d, float)\nTrue',
'hidden': False,
'locked': False}],
'scored': True,
'setup': '',
... | [
"52470060+Mahan-Tajrobehkar@users.noreply.github.com"
] | 52470060+Mahan-Tajrobehkar@users.noreply.github.com |
d88adc7061a3c48c6d2afe7420444e5c70762261 | 5297bdd3ccf64be915c05bfc599cb66d52fa6b17 | /memword/api/lessons.py | d2fb313eb68375d2f5e5ce06628007a4cb09c546 | [] | no_license | scdekov/memword | ee04ef4d4ca55084bf678d354ff77b0cb42403ba | bd011358c252ac6e3930dcae15df76c7103c61e0 | refs/heads/master | 2022-12-11T09:13:27.507111 | 2019-11-13T21:37:10 | 2019-11-13T21:37:10 | 146,096,522 | 1 | 1 | null | 2022-12-08T02:50:40 | 2018-08-25T13:14:04 | Python | UTF-8 | Python | false | false | 5,519 | py | from django.contrib.auth import get_user_model
from django.shortcuts import get_object_or_404
from django.utils import timezone
from rest_framework import serializers, viewsets, decorators, status
from rest_framework.response import Response
from memword.api.serializers import TargetSerializer
from memword.models.les... | [
"svetlio1994@gmail.com"
] | svetlio1994@gmail.com |
d5816bf17fecd71e306ba321ee4fd6bda1913e63 | 2c4f00e65671467ed14b33f4f6b574bd9944eaea | /test.py | eceeb7bd27460d1c67779648392af96cb4ff1456 | [
"MIT"
] | permissive | ashafer01/chain | 20a459a7a4f0bc43668cfe71f58d568689c61f23 | e7ea9b3fb2b92459c581dfc0ebc424300cd333c0 | refs/heads/master | 2020-07-06T14:18:42.242072 | 2019-08-18T20:37:19 | 2019-08-18T20:37:19 | 203,046,524 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,107 | py | import unittest
from chain import chain, args
class TestChain(unittest.TestCase):
def test_chain(self):
def _test_x(x):
return x + 'x'
def _test_y(x):
return x + 'y'
def _test_z(x):
return x + 'z'
def _test_2(a,b):
return a+b
... | [
"ashafer@pm.me"
] | ashafer@pm.me |
ed3cea97ae571dfe1f0a45dba14fc43b93212a84 | fb21a8f1fc02f5cee6f0a759e336561726d3b184 | /experiments/lstm-notcut/run.py | 74e6c8e8a8f1be2abab441657d41651360c17bd5 | [] | no_license | yamaguchi-milkcocholate/GoogleBrain-VentilatorPressurePrediction | 76632353ff25a0c9ad8db51ef1f4b728954537b5 | 1996bb81f5b6880a20b8e39c681fecef0bc8a201 | refs/heads/main | 2023-09-05T17:25:46.980274 | 2021-11-24T04:40:50 | 2021-11-24T04:40:50 | 410,795,933 | 0 | 0 | null | 2021-11-04T01:28:27 | 2021-09-27T08:06:55 | Python | UTF-8 | Python | false | false | 6,082 | py | from random import seed
import numpy as np
import pandas as pd
import json
import os
import sys
import gc
import shutil
from pprint import pprint
from pathlib import Path
from typing import *
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras.callbacks import EarlyStopping, ReduceLROnPlateau, M... | [
"zuuuubo.tetsu@outlook.jp"
] | zuuuubo.tetsu@outlook.jp |
ed0a4b5efada1939d7898d3beec9436407d38b31 | 7c208711405aa6bd99106b94697028734e3fb1f9 | /app/campaign_rec.py | f3bbb988956ae76c790a81ac4f90a42ced4f46be | [] | no_license | tb16/fundraising-campaign | 8e280dcec7820c6b65ac7ce0b7a4edc68cde735d | a091d67fb3e314d081b6c8d3ec3a447bf134d498 | refs/heads/master | 2021-01-11T18:17:27.329103 | 2016-10-18T19:32:35 | 2016-10-18T19:32:35 | 69,335,782 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,454 | py | import pandas as pd
import numpy as np
import requests
import bs4
from string import punctuation
import cPickle as pickle
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import linear_kernel
from tokenizer import tokenize
'''
campaign recommendation using cosine similarity of... | [
"Komal@Teks-MacBook-Pro.local"
] | Komal@Teks-MacBook-Pro.local |
0649ed61513fbe6a09949d36e72df66a81bef44a | ec1eb0dd3ceeff03ab1e20c80259c5868a1a5004 | /project2/rl_federated_nas/glace_search_svhn.py | 556cb4600ca063cf21cae147f2417b3d5384845e | [] | no_license | dixiyao/CS385 | 601a7aebaa9a7644be472fbdaa002c7ca76a5816 | 405a5632dde1fef96ccb301c0994d783776c7108 | refs/heads/main | 2023-06-02T01:10:12.892223 | 2021-06-20T09:30:17 | 2021-06-20T09:30:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,604 | py | import os
import sys
import time
import glob
import numpy as np
import torch
import utils
import logging
import argparse
import torch.nn as nn
import torch.utils
import torch.nn.functional as F
import torchvision.datasets as dset
import torch.backends.cudnn as cudnn
import random
import copy
from torch.autograd import... | [
"noreply@github.com"
] | dixiyao.noreply@github.com |
7bc0cb59175906afc9c0c195273cb6c3843800f3 | f213d968b6d43ca27c52d8d61311c054be0e204c | /tutorial2.py | 84a2831dee2e41157438f719de429b18aaf113bf | [] | no_license | datasqr/OpenCV | f9a8c161735fd3b31f6a65b73b41e5ed7fda783c | 3fe8d52e1ea133f3c402ae7fd2606d1f716e0215 | refs/heads/master | 2021-01-25T04:57:50.930615 | 2015-01-07T19:25:34 | 2015-01-07T19:25:34 | 28,535,548 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 655 | py | # http://docs.opencv.org/trunk/doc/py_tutorials/py_gui/py_drawing_functions/py_drawing_functions.html
#Drawing Functions
import numpy as np
import cv2
# Create a black image
img = np.zeros((250,250,3), np.uint8)
print img
# Draw a diagonal blue line with thickness of 5 px
#cv2.line(img,(0,0),(511,511),(255,0,0),5)
... | [
"mateusz.zbikowski@gmail.com"
] | mateusz.zbikowski@gmail.com |
2804da30f453e1a5fd2133a3e59538c1b210397e | 8b37b0378f1b423629633c7cc8e22becca640641 | /runs/deep_forest_ranger_outpost.py | dbfba7bec08ca23410551657f4d2fcd1b330c2b2 | [] | no_license | destor/zombii | 11b7617a1205b04da10f351b834151651d1e150b | f9e658c128e6fc8c4551237143d2c1c1a5ccea9f | refs/heads/master | 2021-09-23T08:56:06.863946 | 2018-09-21T04:39:30 | 2018-09-21T04:39:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 667 | py | # vim: syn=python
from align import *
FILE = [
{
'announce': '9w',
},
{
'path': '6 w;sw;7 w;sw;5 w;4 sw;6 w;sw;w;sw;enter',
'name': '__announce__',
'announce': 'Deep Forest Ranger Outpost: Grizmogh',
'summary': True,
'skip': 4,
},
{
'target': 'commander',
'alignment': SLIGHTL... | [
"alexander@schrepfer.us"
] | alexander@schrepfer.us |
75b4c345054f9757d6e642ce84b0d8c16a1c82c6 | eb00755d9d0f2630ffdb21e3ab6685b2fbcb0d9e | /tests/bench/bench_scripts/bench_sampleData.py | 729fcf79af5383d0af68875e3179d971fe99aff2 | [
"BSD-3-Clause"
] | permissive | mlangill/biom-format | aca45518c71b807cf30b0f548ad726880802a2b5 | 4cebfbdba8b6b64ff0d503df33634e3d52de1de0 | refs/heads/master | 2021-01-16T21:59:51.218830 | 2013-12-04T16:41:50 | 2013-12-04T16:41:50 | 9,486,201 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 274 | py | #!/usr/bin/env python
from sys import argv
from gzip import open as gzip_open
from biom.parse import parse_biom_table
from random import choice
if __name__ == '__main__':
table = parse_biom_table(gzip_open(argv[1]))
foo = table.sampleData(choice(table.SampleIds))
| [
"mcdonadt@colorado.edu"
] | mcdonadt@colorado.edu |
85f5b6db2f09ac1feae49616d3363ce62a7724e1 | bab70d19d523e616ebaa1f74c114e88fd5d2ad83 | /CAhw2/RunMeForTest.py | af2bd375ebc9796f9d89d82792c8c2ae4b9716d8 | [] | no_license | FuHsinyu/Cellular-Automata-model | 4ef3351735aee8a4d268f67d3d04b36809bb33d2 | 2a0bdf505fd0b793caee5b1b708fb9d591532ebb | refs/heads/master | 2021-05-06T19:49:16.148410 | 2018-06-13T01:55:14 | 2018-06-13T01:55:14 | 112,194,748 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,204 | py | from pycx_gui import GUI
from myModel import CAmodel
import matplotlib.pyplot as plt
import numpy as np
import random
#change digit in line 18 and run to get a FAST TESTING RESULT
initRow = [0] * 100
for i in range(100):
initRow[i] = random.randrange(2)
r = 1 #range
systemSize = r * 2 + 1
k = 2 #base
rule = 0 #d... | [
"247047.niuitmo.ru"
] | 247047.niuitmo.ru |
904f11ece1f3a1f0e9f815aa7965f064e2510a83 | dbe770c12a3186e439ffe7bd1f3853a1b3ec6e4f | /test1.py | dab87f2a97cd837ab8954612da96924a871cd88a | [] | no_license | ankurmishra727/JenkinsWithJenkinsFile2 | d5d2f659b514c334e22736a1809946b6165dbc4e | 80632d059612583a9d8e1991415ecd603657146b | refs/heads/master | 2020-03-19T06:07:45.947120 | 2018-06-04T10:54:06 | 2018-06-04T10:54:06 | 135,992,780 | 0 | 0 | null | 2018-06-04T09:51:34 | 2018-06-04T08:15:14 | Python | UTF-8 | Python | false | false | 44 | py | print("merging into master from branch 1")
| [
"ankurgargmishra@gmail.com"
] | ankurgargmishra@gmail.com |
17e16a08041f1fc5702bff45cbade47ad9622093 | eceeef628f926a51797f6bbe1bfd409c566d3d3b | /Res18_T2_transfer.py | cb27dac94ca41ab0b66f921c24551c18adcb1558 | [] | no_license | wangshuai-bit/T2_classification | 2ca33cb6b52be4f12846e245ca2bbd6a87d3ec7f | 94488e168d618abe8228c75f07f58209c1cbccbc | refs/heads/main | 2023-02-18T20:14:50.913843 | 2021-01-22T01:30:44 | 2021-01-22T01:30:44 | 331,675,892 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 34,511 | py | # try to print the error image 20190520
import tensorflow as tf
import pickle
import time
from tflearn.layers.conv import global_avg_pool
from tensorflow.contrib.layers import batch_norm, flatten
from tensorflow.contrib.layers import xavier_initializer
from tensorflow.contrib.framework import arg_scope
from PIL import ... | [
"noreply@github.com"
] | wangshuai-bit.noreply@github.com |
667615d24df3f447ef773eb76c4de08b7f9c84c4 | aa5db0b160300c61c6a243c10a9ae4f24e61acbe | /main.py | 38d11176559c61a5e2a98abcb2dfe3406902bd6e | [] | no_license | ShlomiRex/Twitter-Slack-Bot-Interview-Home-Assignment | 68e7a36baae49653b8e151c128e822db4cd057f9 | c2c8d9421046f792acf35e4cdf1d62bc85a7dfc3 | refs/heads/main | 2023-08-29T21:41:23.942498 | 2021-11-15T17:46:13 | 2021-11-15T17:46:13 | 427,901,782 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,811 | py | import configparser
import datetime
import os.path
import pickle
import threading
import time
from dotenv import load_dotenv
from flask import Flask, Response, request
import logging
import slack_worker
import twitter_worker
# Environment
from twitter_worker.twitter_worker import Tweet
load_dotenv()
# Configuration... | [
"vgtvgy1@gmail.com"
] | vgtvgy1@gmail.com |
9e954532ac48853decc0acb672da57bb9369029b | 94aa3e2f78a8cc9a5b32af6a78197e79e876af3d | /Ex09_4_uses_only.py | e2e7285eefc034e3f5338572a40ccb07a565c9ac | [] | no_license | ishwarjindal/Think-Python | 7c41e190a86280d99b6e5bd1d2dcdcf84394bb92 | 9e997f87189357ad12b9893e2da3960843b0b853 | refs/heads/master | 2020-05-19T13:31:14.417642 | 2019-10-06T03:44:27 | 2019-10-06T03:44:27 | 185,041,968 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 994 | py | #Author : Ishwar Jindal
#Created On : 26-May-2019 05:19 PM IST
#Purpose : Find words that uses only the specificed letters
def has_no_char(word, char_to_be_missing):
for char in word:
if char == char_to_be_missing:
return False
return True
def uses_only(word, letters_to_use):
for lette... | [
"ishwarjindal@MacBook-Pro-4.local"
] | ishwarjindal@MacBook-Pro-4.local |
00556680676e49944ba71fefdd6fed4756bfb9a5 | 17f75be58052605ddf4da0af2dd3abba69dc3bc4 | /api/migrations/0001_initial.py | bd6e5a842c3771f5a8eb56800966d4f2ba674a6b | [] | no_license | assasin-lv/my-first-blog | 9f8547a84091ebba2d91d73a7554f2279d463a21 | f068517e7df5d6f3ed026213a3afc6528dd944dc | refs/heads/master | 2021-02-19T05:03:52.086526 | 2020-03-10T02:56:37 | 2020-03-10T02:56:37 | 245,278,534 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 645 | py | # Generated by Django 2.0.6 on 2019-06-04 19:15
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Terminal',
fields=[
('id_terminal', models.... | [
"noob.assasin.lv@gmail.com"
] | noob.assasin.lv@gmail.com |
7019b6b2ccb716f997d7907943ca21567284877d | 091eb8602b0de816222b3c2dabbdb84cc4c63298 | /game_8_puzzle.py | 573945d64189f0df47ca0ed7ec53352372908d3c | [] | no_license | 888yzbt888/game_8_puzzle | 5b32f1aaf8aca4a09aafa333a0c06a83292b8d30 | 1b9bdc2cb6d707e11455d49245a8501b7e69b587 | refs/heads/master | 2021-06-30T19:44:09.575701 | 2017-09-18T02:10:31 | 2017-09-18T02:10:31 | 103,508,934 | 0 | 0 | null | 2017-09-22T14:00:54 | 2017-09-14T08:45:40 | Python | UTF-8 | Python | false | false | 6,697 | py | import sys
import pygame
import random
import time
import numpy as np
import algorithm_8_puzzle
REPLAY_SPEED=0.4
XOFFSET = 30
YOFFSET = 15
WINDOW_HEIGHT=440
WINDOW_WIDTH=400
FINAL_STATE=[[1,2,3],[4,5,6],[7,8,0]]
def initgame():
img = []
for i in range(0, 9):
img.append(pygame.image.load(s... | [
"1002789177@qq.com"
] | 1002789177@qq.com |
a9cc0883b47e3569797ac2468dfcffe5081ffe26 | 7787db9eaf80ac4a366648902ee945112bca127a | /Leetcode300/14. Longest Common Prefix.py | 692f5ec20f2b5de8345b7f4b768d6f26010650f4 | [] | no_license | LYXalex/Leetcode-PythonSolution | 0de7af69373171affe15f2074bacc74955d09a2c | 2ae3529366227efb5f2ad81a8b039ad71e8d1ed5 | refs/heads/main | 2023-06-22T18:49:32.492547 | 2021-07-14T02:12:05 | 2021-07-14T02:12:05 | 325,213,787 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 297 | py | class Solution:
def longestCommonPrefix(self, strs):
if not strs: return ""
shortest = min(strs,key=len)
for i,char in enumerate(shortest):
for each in strs:
if each[i] != char:
return shortest[:i]
return shortest | [
"yul801@ucsd.edu"
] | yul801@ucsd.edu |
0dac53703ab198d385005c1bd7a5a57d670af88e | caee06b143be5117a667e0f14ed6cf54958e85c1 | /page/showreview.py | 0b3dcc9721d9eed2b09256eae20318e2959a16f8 | [
"Apache-2.0",
"MIT"
] | permissive | ctesting/critic | 720b68331aac81443e53ccd0c4c6cb4c3b75b5ec | 8ba956d124279d0fca9d4522fb0ee6970e863588 | refs/heads/master | 2021-01-17T13:43:41.205293 | 2013-03-15T20:34:47 | 2013-03-15T20:34:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 49,272 | py | # -*- mode: python; encoding: utf-8 -*-
#
# Copyright 2012 Jens Lindström, Opera Software ASA
#
# 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... | [
"jl@opera.com"
] | jl@opera.com |
0c2fddd11b78d0ae7d34b0e19aadb724ad55b1a1 | 9d652cc94bf07c149cd6c7c6060b0f97875a78d4 | /apps/my_app/views.py | 7b94dacae39a7d56bf02bd6f0ab841340dae1466 | [] | no_license | herimiguel/cdExam | 2c84a46f526518b691de0f6bfe215d2713664f76 | a119b9b6f336b035ad7f003ac4e44a9ce4d67ee1 | refs/heads/master | 2020-03-19T08:25:56.222809 | 2018-06-05T19:13:29 | 2018-06-05T19:13:29 | 136,203,782 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,136 | py | from __future__ import unicode_literals
from django.shortcuts import render, redirect
from django.contrib import messages
from models import *
from django.db import IntegrityError
from django.core.exceptions import ObjectDoesNotExist
# Create your views here.
def index(request):
return render(request, 'my_app/ind... | [
"herimiguel84@hotmail.com"
] | herimiguel84@hotmail.com |
f64ca4a352ebd20fb444b43b39e98c4f44f8f5c4 | c146bce0f8585307877b53448088000ad5b6e690 | /setupStimuliandWalks.py | bd13ee914a88eb0faa08e328c78e5016ec583777 | [] | no_license | utooley/netlearn_task_v1 | 07b4dbbc5a8856a45118901709903607c0582d15 | 914411c34fc9551e704c1e8f67519308e35cdc0a | refs/heads/master | 2021-01-16T08:24:39.363760 | 2020-02-25T16:06:18 | 2020-02-25T16:06:18 | 243,041,098 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 19,508 | py | #Internet says that to run scripts from Terminal on new Macs, modules need to be imported in this order
from pandas import DataFrame, read_csv
from psychopy import core, gui
from psychopy import data, event, logging, visual
# Import modules
import os
import random
import re
import urllib
import csv
import numpy as np
... | [
"utooley@gmail.com"
] | utooley@gmail.com |
37a2620996f5b4f1543105bffdc6fb58220c624c | 6a4ebebbe0d7f81efc4f1749054a2ed7242c0e58 | /granary/test/test_googleplus.py | e12902c656d570b1ffc904713e8a4b875bb87829 | [
"LicenseRef-scancode-public-domain"
] | permissive | skylarker/granary | 6e192ecd2475febb3585728d5ba7afe34742107d | 2fd8ef017588b955e78606242ce582849cfd57ac | refs/heads/master | 2020-12-26T21:35:04.155528 | 2016-04-18T18:15:30 | 2016-04-18T18:15:30 | 56,891,160 | 1 | 0 | null | 2016-04-22T23:43:09 | 2016-04-22T23:43:09 | null | UTF-8 | Python | false | false | 21,560 | py | # coding=utf-8
"""Unit tests for googleplus.py.
See googleapiclient/http.py for details on using RequestMockBuilder to mock out
Google API calls. (This is the current doc on apiclient mocks, but it doesn't
mention RequestMockBuilder:
https://developers.google.com/api-client-library/python/guide/mocks )
TODO: figure o... | [
"git@ryanb.org"
] | git@ryanb.org |
b9299ec6d17a4f7f9476a364ca7ba6aac57cba1c | 39debb4a11094caffa06e0c026cc40fe3e298c6c | /staff/staff_login_interface.py | 4685702e395e0bc6a05bc55bee0c32a393a151bd | [] | no_license | sumanbashyal007/Clinic_management_system | 66204c5628a4dd8085a73c76adfb743ee7f3635d | 0a318697ad04fc61bfe289be7490d01e393a9a7a | refs/heads/master | 2022-12-04T22:22:31.640301 | 2020-08-27T08:21:39 | 2020-08-27T08:21:39 | 290,690,065 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,260 | py | # ====================================== Importing Necessary photos ========================================#
from tkinter import *
from tkinter import messagebox
from PIL import Image, ImageTk
from admin.connection import MyDatabase
from staff.staff_registration import Staffregistrationwindow
from staff.staff_interfac... | [
"suman.bashyal007@gmail.com"
] | suman.bashyal007@gmail.com |
2b8b167f852914d1fd4dbd941c92ebeffbc7c63a | de033d5aba647555fa4fd4844df9b563cfc1e2f4 | /py/elfs/debuginfo.py | b699b2d0abeab20dad29e6c8fe6e2f91ed3f87f3 | [
"Apache-2.0"
] | permissive | eth-sri/debin | 16fc0499901149bdc9818f268178569469f197df | 715771c1e1468eaafbb599d8bf81a19b5b2e22d2 | refs/heads/master | 2022-08-14T12:31:13.648564 | 2022-05-20T15:12:01 | 2022-05-20T15:12:01 | 160,524,006 | 392 | 64 | Apache-2.0 | 2022-06-22T05:14:48 | 2018-12-05T13:40:37 | Python | UTF-8 | Python | false | false | 33,661 | py | import traceback
import sys
import ctypes
from common import utils
from elfs.framebase import FrameBase
from elftools.dwarf.callframe import ZERO
from elftools.dwarf.locationlists import LocationEntry
from elftools.elf.elffile import ELFFile
from elements.regs import GivReg
from common.constants import UNKNOWN_LAB... | [
"he4444mingtian@gmail.com"
] | he4444mingtian@gmail.com |
fc9eada358e8a8bab6e2d5cabb8ef8dc7c58307a | 7ff9410466d608d5fc1df2a0d3c6f4ddfc3b713c | /xml_to_csv.py | 8eea90b9897b514f6a7356f7affd001615bc52a9 | [] | no_license | wilson-boca/identify-objects | 03d0b539d9ad1358cf3e95922e3003bd874b7127 | 07626727c31b1ae65e40ff99ff5c68ae8ed54d1b | refs/heads/master | 2023-04-05T05:43:53.356305 | 2020-03-30T14:59:22 | 2020-03-30T14:59:22 | 250,657,993 | 0 | 0 | null | 2023-03-24T22:34:29 | 2020-03-27T22:02:32 | Python | UTF-8 | Python | false | false | 1,189 | py | import os
import glob
import pandas as pd
import xml.etree.ElementTree as ET
def xml_to_csv(path):
xml_list = []
for xml_file in glob.glob(path + '/*.xml'):
tree = ET.parse(xml_file)
root = tree.getroot()
for member in root.findall('object'):
value = (root.find('filename').... | [
"wilson.boca@gmail.com"
] | wilson.boca@gmail.com |
9663d2aacfb226c81bf9757446cc9fe4df27d7ce | a732353686f6b22561edc6905e0243c2a2038667 | /szamlazz/models.py | 2ccb14534612b5d25db06aac0c8d415cc442cf5f | [
"MIT"
] | permissive | freemanPy/szamlazz.py | 34fac9bf94df6f628119d27908e43a834e4c1371 | 2822d1c6ea19178131fc38c283d68ef350dcfde9 | refs/heads/master | 2023-08-12T04:07:37.381429 | 2021-09-12T21:18:18 | 2021-09-12T21:18:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,854 | py | import base64
import logging
from pathlib import Path
from requests.models import Response
from typing import NamedTuple, Tuple
from urllib.parse import unquote
# noinspection PyPep8Naming
import xml.etree.ElementTree as ET
__all__ = ["Header", "Merchant", "Buyer", "Item", "Disbursement", "SzamlazzResponse", "PdfData... | [
"kristof.daja@semcon.com"
] | kristof.daja@semcon.com |
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