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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a71aa97fcfae548e30320b7b1ecfaf7083324ede | bd17496302ed843e56c40c78f6e41bd3379309d6 | /cruft/_commands/utils/generate.py | 3e955567998125f725f0fbdb7afee16e430510df | [
"MIT"
] | permissive | juhuebner/cruft | 9720962fb07b77298e2f92c384d06d646521141d | 074b0a3e60381cf5c08f2c12c1a422f5c432d191 | refs/heads/master | 2023-03-24T10:07:30.682818 | 2021-02-04T13:32:43 | 2021-02-04T13:32:43 | 335,247,032 | 1 | 1 | MIT | 2021-02-12T10:15:36 | 2021-02-02T10:14:39 | Python | UTF-8 | Python | false | false | 4,262 | py | import os
from pathlib import Path
from shutil import move, rmtree
from tempfile import TemporaryDirectory
from typing import Optional, Set
from cookiecutter.generate import generate_files
from git import Repo
from .cookiecutter import CookiecutterContext, generate_cookiecutter_context
from .cruft import CruftState
... | [
"noreply@github.com"
] | juhuebner.noreply@github.com |
8b63e5294856d883658c03c47ecbc8dd9c494857 | b2c5fb38def287fa50222b46f2d645b4245a06f5 | /pplan/src/pplan/makegraph_edgetime_equilateral.py | 893e8f1db69b17d39edc2af518538eb8c71d525c | [] | no_license | jonbinney/informative_path_planning | 1e228aa719f16b8d1d121e86a19fc60b1defc22b | 6d5e82ef9760ed994b597f2903e7cc77c195e466 | refs/heads/master | 2016-09-06T03:51:30.575364 | 2013-08-01T23:12:44 | 2013-08-01T23:12:44 | 7,231,493 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,240 | py | import numpy as np
from scipy import linalg
import ppas
def add_point(points, p):
'''
Add p to points, and return the index for p
'''
for ii in range(len(points)):
# hack alert! because of precision, sometimes points that should
# be the same are actually slightly different, so we use a... | [
"jbinney@bih.willowgarage.com"
] | jbinney@bih.willowgarage.com |
2973b9afb0d60bb23ad9537dfdd7c01cf45442e8 | e01bb802ba807b5bce32bd3d3a060186515405fc | /celebA_preproc.py | ef0a5f3226b80f70adf9b25562d999446d10be16 | [] | no_license | MonicaVillanueva/Image2Image_Translation | 005676197ea1db7e2babc1abdc9829a2b52d4375 | c7cad94c2f7497f0147e26a6e4e8553bfeefb55b | refs/heads/master | 2021-09-05T15:19:05.513243 | 2018-01-29T07:27:51 | 2018-01-29T07:27:51 | 113,840,715 | 5 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,873 | py | #!/usr/bin/python
# -*- coding: latin-1 -*-
from PIL import Image
import os
import matplotlib.pyplot as plt
import scipy.misc as sci
import numpy as np
# Constants
celeba_path = os.getcwd() + '\celebA\img_align_celeba'
out_path = 'celebA\processed'
attr_path = os.getcwd() + '\celebA\Anno\list_attr_celeba.txt'
BLACK = ... | [
"monicavi@kth.se"
] | monicavi@kth.se |
21506168c06a23ad11428c0c4c3d152ac7118125 | 509e9d64744f720392fda2b978d783f985c60824 | /python2.7/site-packages/numpy/ma/core.py | 7e1ea2b54b893c2252e95a7cda30ca172bc9932b | [] | no_license | theideasmith/Instant-OpenCV-FFMPEG | 0560598fba630ded533b4e6c111c61c9b0b7502b | 234e359af245b4832b3e7ade6070e91c81b65de0 | refs/heads/master | 2021-01-11T20:39:33.443984 | 2017-01-16T23:09:46 | 2017-01-16T23:09:46 | 79,162,330 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 131 | py | version https://git-lfs.github.com/spec/v1
oid sha256:e83576d33a9a1a0dd7ddd47d954efbf285527a2a66b9a5f7c6a62368b7fb46f2
size 247843
| [
"aclscientist@gmail.com"
] | aclscientist@gmail.com |
e9aa8307ab7e17962e321ed2057fac07d37bdaf0 | e97451f42a5bb5834baf581dcbbcf273eb6562ff | /[052] Permuted multiples/main.py | 8c2761dd6a3711d0073ff5c96961bd38885794f7 | [] | no_license | m-tkach/ProjectEuler | 561d13137a8e5e9e63f028e0dd3abd57aa788b9e | ee118e0889fa0c48662f62b42708c2009ddbc4ce | refs/heads/master | 2020-04-15T01:54:24.682833 | 2015-04-13T20:23:44 | 2015-04-13T20:23:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 854 | py | MAX_MULTIPLIER = 6
def to_int(l):
ans = 0
for x in l:
ans = ans * 10 + x
return ans
def to_sort_list(i):
if i == 0:
return [0]
ret = []
while i > 0:
ret.append(i % 10)
i //= 10
ret.sort()
return ret
def next(v):
v += 1
... | [
"m.tkach@samsung.com"
] | m.tkach@samsung.com |
615815d159d11c1a11dd487d30418a377ac10f96 | 6501237d5e687ba1ad51f8f134f998fb2c25b205 | /models/transformer.py | 9ef76ae139ff364596d6f3467ce1b4ed432e326f | [] | no_license | jdegange/multilingual_nmt | e29cbb86de1556060a7ec009de0a7e463ca120bc | 4c5cc5a5b7986ae621d4399ed0fc7ca998bc9c1f | refs/heads/master | 2020-04-09T06:36:05.338816 | 2018-09-11T04:09:29 | 2018-09-11T04:09:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 24,786 | py | # encoding: utf-8
import numpy as np
import torch
import torch.nn.functional as F
import torch.nn as nn
from torch.autograd import Variable
import torch.backends.cudnn as cudnn
import math
import scipy.stats as stats
import utils
import search_strategy
import preprocess
from expert_utils import PadRemover
cudnn.bench... | [
"devendra.singh@petuum.com"
] | devendra.singh@petuum.com |
624fece2eb26804725675757255cafe640ad30a5 | d69b7c615390e56cdb2cf0a29c7dfcd1f034098f | /main.py | f32b536be72ca27aff4cf19901d3c29ae823755a | [] | no_license | islamuzkg/tip-calculator-start | aa535bee503af4f011d78ca6fe829c1968fb18f7 | 1acea524cf30a6ad49defa0958d6733d1de7bbee | refs/heads/master | 2023-03-18T11:12:16.948903 | 2021-03-10T13:57:26 | 2021-03-10T13:57:26 | 346,373,866 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,332 | py | #If the bill was $150.00, split between 5 people, with 12% tip.
#Each person should pay (150.00 / 5) * 1.12 = 33.6
#Format the result to 2 decimal places = 33.60
#Tip: There are 2 ways to round a number. You might have to do some Googling to solve this.💪
#HINT 1: https://www.google.com/search?q=how+to+round+number+to... | [
"Islamuzkg@gmail.com"
] | Islamuzkg@gmail.com |
6065cbd309d83c85efd3a6015055736c8a10ecce | fe6bc15f12bfa3e73cf6c9e26ed454d574beb394 | /bioinformatics_stronghold/Intro_Alternative_Splicing/solution.py | 1dc7c7a9932f84a3ec9a65ebf22356d9004e6b77 | [] | no_license | therealcooperpark/Rosalind-Project | af55aadcd9839b75fc487f671bbb199edd3e36f4 | b5291e97b3eb3b48b6979d98341fa6dd84440936 | refs/heads/master | 2022-12-08T04:43:15.414723 | 2020-08-27T23:10:42 | 2020-08-27T23:10:42 | 290,542,264 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 411 | py | #! /usr/bin/env python3
'''
Calculate all combinations given the sample size and number of items
'''
from scipy.special import comb
def main():
N = int(input("Enter N:\n"))
M = int(input("Enter M:\n"))
total_combs = 0
for rng in range(M, N + 1):
total_combs += comb(N, rng, exac... | [
"therealcooperpark@gmail.com"
] | therealcooperpark@gmail.com |
77c6fe22238d3f0e4658663f756f998f20e9bd7f | 8afb5afd38548c631f6f9536846039ef6cb297b9 | /_COURSES/beginning-python-3ed/Chapter15/listing15-1.py | d02df92eb18d79c48f0b3c2bce82b4df5ef63834 | [
"MIT"
] | permissive | bgoonz/UsefulResourceRepo2.0 | d87588ffd668bb498f7787b896cc7b20d83ce0ad | 2cb4b45dd14a230aa0e800042e893f8dfb23beda | refs/heads/master | 2023-03-17T01:22:05.254751 | 2022-08-11T03:18:22 | 2022-08-11T03:18:22 | 382,628,698 | 10 | 12 | MIT | 2022-10-10T14:13:54 | 2021-07-03T13:58:52 | null | UTF-8 | Python | false | false | 228 | py | from urllib.request import urlopen
import re
p = re.compile('<a href="(/jobs/\\d+)/">(.*?)</a>')
text = urlopen("http://python.org/jobs").read().decode()
for url, name in p.findall(text):
print("{} ({})".format(name, url))
| [
"bryan.guner@gmail.com"
] | bryan.guner@gmail.com |
622bdf44dac3fc1f32f7e9b161111e0c859cf790 | 7e9ef90658a02fa8c840fdb51350f95b0695dedb | /data_conversions/raw_for_broken.py | 2a2386ff4582d30d1c30d162079a9ae20ac8a30e | [] | no_license | bartekkroczek/FANET_Analysis | 2da16c4cbe86dc4ceba30d2a3e36af56ad96d441 | fb50aefb5781e804501e80ade46e9cb17256e976 | refs/heads/master | 2022-05-05T07:11:40.964940 | 2022-04-24T08:10:51 | 2022-04-24T08:10:51 | 123,772,184 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,253 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Dec 20 15:50:41 2017
@author: bkroczek
"""
import pandas as pd
from tqdm import tqdm
def RepresentsInt(s):
try:
int(s)
return True
except ValueError:
return False
def RepresentsFloat(s):
try:
float(s)
... | [
"bkroczek@localhost.localdomain"
] | bkroczek@localhost.localdomain |
9c7cfab4afca4c9a6855488b3e76722f0015b0c3 | 342b29790c7e2910e74bc4be32e55c1de02b9319 | /app/core/tests/test_admin.py | 2691ac0bfb4ba01d09cb86083011fca847611c08 | [] | no_license | yieniggu/demo-isw-django-docker | c6f8233286dfbf952f41e6c01c431f5b5e9cec19 | e6fe9556386f5a6db74e8c6b08d86377faae7cce | refs/heads/master | 2022-11-09T00:36:53.479639 | 2020-06-23T21:30:48 | 2020-06-23T21:30:48 | 272,803,150 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,734 | py | from django.test import TestCase, Client
from django.contrib.auth import get_user_model
from django.urls import reverse
class AdminSiteTest(TestCase):
def setUp(self):
"""Configuracion previa a la ejecucion de pruebas"""
#Crear cliente
self.client = Client()
#Crear admin
... | [
"bastianandresxb@gmail.com"
] | bastianandresxb@gmail.com |
aef6f8c929de67ad8c8d4fcd75e47e015a721192 | a0467b04977f8db115faa50f7cb28c0943ff5616 | /wpcolab/mobigame/urls.py | 8f9c104b28edf392dbaaf2b2875a7187b0665728 | [] | no_license | squirell4/Wits_Praekelt_CoLab | 013b82d66f1b7becf26bcf7027e1d26c7f16fe26 | 96cceb9cb0fe7ff5a6142010f607857f8156d2c9 | refs/heads/master | 2021-01-23T15:56:53.631776 | 2011-11-22T14:07:19 | 2011-11-22T14:07:19 | 2,761,338 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 460 | py | from mobigame import views
from django.conf.urls.defaults import patterns, url
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('',
url(r'^$', views.index, name='index'),
url(r'^login/', views.login, name='login'),
url(r'^signout/', views.signout, name='signout'),
url(r'^s... | [
"hodgestar@gmail.com"
] | hodgestar@gmail.com |
d62497d39ddd24227f946321f0e613b8b8239ff0 | b57768feba5db90ee1ac65244fbfd351cdf2aca4 | /Python/TwitterStream2.py | 2eb74a724b53efcfaed9c52d6c9109a17fe09147 | [] | no_license | abhiking-agrawal/StreamTwitterDataNodeJS | 2c895587b46638d1ad9e8764552b6982bd66bbd0 | 637e78930d391fb22433f623acf4ff0d15111755 | refs/heads/master | 2020-03-20T22:23:19.630564 | 2018-06-26T20:40:42 | 2018-06-26T20:40:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,133 | py | #Import the necessary methods from tweepy library
from tweepy.streaming import StreamListener
from tweepy import OAuthHandler
from tweepy import Stream
#Variables that contains the user credentials to access Twitter API
consumer_key = 'HTNc6rm4tX63VYQKWQCV40TFm'
consumer_secret = 'bAWS75kNkDMKrWvGvzoGVYrRdjrtrZk7BaPw... | [
"s530670@nwmissouri.edu"
] | s530670@nwmissouri.edu |
9cde266c8bb9da6c3adb3d65bb550bd61cef22f5 | 52b5773617a1b972a905de4d692540d26ff74926 | /.history/equiLeader_20200827165802.py | f08526aa75586e4953dfdca2be33a359af6602d4 | [] | no_license | MaryanneNjeri/pythonModules | 56f54bf098ae58ea069bf33f11ae94fa8eedcabc | f4e56b1e4dda2349267af634a46f6b9df6686020 | refs/heads/master | 2022-12-16T02:59:19.896129 | 2020-09-11T12:05:22 | 2020-09-11T12:05:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 645 | py | def equi(A):
# return the number of equal leaders that both occur in the sequences
# first find the equileader
# an equileader is an index such that when two sequences are formed
# the two sequences have the same leader
# 0,1,2,3,4,5
store = {}
leader = -1
count = 0
for i in A:
... | [
"mary.jereh@gmail.com"
] | mary.jereh@gmail.com |
7e2e5990f25827e91fe635536bdbc26870b2c772 | 8a15ab8556221f998430219dcae25fc08b6d0eac | /src/aster/exporter/run.py | 4b3ad95d46916958b8e3f6ac169ac7ec390603c5 | [] | no_license | chris010970/geology | 47d32984e8daca0eb3740f41a141599674e4ae97 | 25cec20d7d73a18f3ae1e0edfb0bae9a3cfbde87 | refs/heads/master | 2020-12-26T18:20:58.989757 | 2020-02-10T08:49:16 | 2020-02-10T08:49:16 | 237,592,768 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,205 | py | import os
import sys
import argparse
from exporter import Exporter
sys.path.append( os.path.join( os.path.dirname( sys.path[0]), '../utility' ) )
from fs import getFileList
def getSceneList(args):
"""
Placeholder
"""
# assume single scene - else collect list
scenes = [ args.scene ]
if args... | [
"c.r.williams0109@gmail.com"
] | c.r.williams0109@gmail.com |
a0be6281101cdbdb3abe6903e3a925c9759910ed | 787eee171019dfac7a4866c3f6461207a11de174 | /EthanAndElisaRampDataAnalysis.py | 90c3d93b824169c72144c87f7ba4c896a375d8de | [] | no_license | davidzane/FindDaBadPixels | 84f7081b7eb58d9633d547f9af83720bdd93aaca | e5de02bc78cf6ade5d336cc4cb1a2d839b9b5783 | refs/heads/master | 2020-06-18T10:03:35.067281 | 2019-07-19T23:11:58 | 2019-07-19T23:11:58 | 196,264,405 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,761 | py | #Built using Andres Code. For getting coefficients for curve fitting. And comparing them for data analysis
#%% import stuff
import numpy as np
import numpy.ma as ma
import sys
sys.path.append("/Users/mrpoopoopants/desktop/cryonirsp/cnpipeline-summer/cnpipeline/lib")
import EthansToolbox as ct
from EthansCnDataCube imp... | [
"noreply@github.com"
] | davidzane.noreply@github.com |
e91ed5ee381345d4cb599c6557e1542b7a721666 | 30d1c962ae880fa962ce0a730926d7c71efd5783 | /compare/models.py | c7990718286dd034f7533772023d2cb7e7191c8d | [] | no_license | fortable1999/covermash | 184c642b4d6598fbdbacfee761f5c6f5d4612398 | 7059092182c2afd92c86a8feca6cc16bee3fb3c6 | refs/heads/master | 2021-01-20T10:06:31.134610 | 2014-08-28T16:21:13 | 2014-08-28T16:21:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,716 | py | """
compare admin page generated by template
template author: Meng Zhao fortable1999@gmail.com
"""
from django.db import models
from django.core.urlresolvers import reverse_lazy as reverse
from django.utils.translation import ugettext as _
class Compare(models.Model):
"""
compare template model
"""
... | [
"fortable1999@gmail.com"
] | fortable1999@gmail.com |
84fd4c105e8f3c76cc7e7faf646ced0c9eee9175 | 0c4db2e5ef3c1632585dcc8848aba036589fd038 | /biblioteca/apps/libro/migrations/0001_initial.py | cfbb5fce35d20ddb0148a9f74466783fc0f7ed83 | [] | no_license | jonwilm/django2.0 | 1c358e8b7eb65f3da55702e29ec01ca8e2b69400 | 5bb2c8268ec405da5c2bd97e42379c4f9360b0cc | refs/heads/master | 2023-04-28T10:48:07.218411 | 2019-11-28T21:04:40 | 2019-11-28T21:04:40 | 223,832,456 | 0 | 0 | null | 2023-04-21T20:41:26 | 2019-11-25T00:41:06 | Python | UTF-8 | Python | false | false | 635 | py | # Generated by Django 2.0.6 on 2019-11-21 03:29
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Autor',
fields=[
('id', models.AutoField(pr... | [
"jparedes84@gmail.com"
] | jparedes84@gmail.com |
37808558e8dda82d4d47379d05d2dc1ca3cf04cc | 9bd361a1b0f1c067d58c0be57e5f679ccad18e59 | /algorithms/226. Invert Binary Tree.py | 34645cfeadc0cb05909ee4f5670f95c1e6ffa832 | [] | no_license | yyassif/codinginterviewquestions | 1c672dee69df5e4fa31195cede31a37ce0e46430 | 870215d4b4ed73426eedefd7d2d08e0f540dc426 | refs/heads/master | 2022-08-13T19:22:55.730273 | 2020-05-18T21:19:42 | 2020-05-18T21:19:42 | 265,077,410 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,193 | py | #https://leetcode.com/problems/invert-binary-tree/discuss/360867/Python3-recursively-and-iteratively
#Recursively:
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def invertTree(self, ro... | [
"noreply@github.com"
] | yyassif.noreply@github.com |
31f5579b5a676a2c1bf975a6aa551896448d172b | 3b7cbaad8d6048f35f60c923616b1cfb2462ea33 | /Python/convert_gatk.py | b6dd452b95a82ababc971642eff1e058093a1a56 | [] | no_license | tianxiahuihui/bioinformatics | 14192499825e9dfeaec65cc7273c02239cc7de0c | 28f263dcdcdc32b214289b73ffdd8b8acf1e4432 | refs/heads/master | 2020-05-21T19:55:31.348679 | 2020-04-08T09:03:54 | 2020-04-08T09:03:54 | 64,446,379 | 0 | 0 | null | 2019-09-07T08:36:06 | 2016-07-29T03:11:08 | Python | UTF-8 | Python | false | false | 4,196 | py |
import sys, getopt, os
def parse_ped_file(ped_file):
ped_reader = open(ped_file)
lines = ped_reader.readlines()
trio = ['', '', '']
for line in lines:
record = line.split()
if(record[2] == '0' and record[3] == '0' and record[4] == '1'):
trio[0] = record[1]
if(record... | [
"noreply@github.com"
] | tianxiahuihui.noreply@github.com |
f2111da069473d4ca652cbc2deee1b5dbbd69258 | 69f239a861d3b9e196161df01279c07a64ee84f6 | /Kyi-Win-individual-project/Codes/final_cuda_Adagrad.py | 1d44e77ecca69b36e9d2dcfd13479fa5e1dde130 | [
"MIT"
] | permissive | mfarmer11/Final-Project-Group9 | d168e3e52ff0dabe147f9e6182faefb362c5f5b6 | dd1336157e69dd237d557e12d157cd152331f99d | refs/heads/master | 2020-04-09T03:42:15.433953 | 2018-12-05T00:18:26 | 2018-12-05T00:18:26 | 159,993,443 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,750 | py | # coding: utf-8
import torchvision.transforms as tt
from torchvision.datasets import ImageFolder
from torch.utils.data import DataLoader
import time
import torch.nn as nn
import torch
import torchvision
import torch.nn as nn
from torch.autograd import Variable
import torchvision.transforms as transforms
from torchvisi... | [
"manoahf@gwu.edu"
] | manoahf@gwu.edu |
0209d99d4efce92a99a77e26d7e5efd07b850cd9 | 00271b9a8cb7531d81427bcdda386b71e836a804 | /GUI/APE_GUI_Node.py | 93abb36808248aaffdb3861b5144f8cefc3df345 | [] | no_license | machinekoder/APE | c2d99dad90943cbf8be4a7440262b5070765fd11 | 23084d53ac3e34826c8ae5044502375aca45b93f | refs/heads/master | 2020-06-14T15:08:51.935881 | 2019-07-02T13:29:48 | 2019-07-02T13:29:48 | 195,036,751 | 0 | 0 | null | 2019-07-03T11:01:49 | 2019-07-03T11:01:49 | null | UTF-8 | Python | false | false | 1,661 | py | from zmqNode import zmqNode
import threading
import APE
from multiprocessing import Process
class APE_GUI_Node():
def __init__(self):
self.node = zmqNode()
self.node.target = self
def startNode(self, address):
self.node.logfile = 'GUINode.txt'
self.node.connect('APE', address)
... | [
"43216607+jhardin4@users.noreply.github.com"
] | 43216607+jhardin4@users.noreply.github.com |
02cefe093965de7477f472d83242cdc96428f342 | 27666aa90c6b735c1142a18147f700494c454649 | /personal_finance/hooks.py | 717082a8fde9c7705ddcfb61cfb2f0b908a9903d | [
"MIT"
] | permissive | hpema/personal_finance | f4c739665b1f000cea8d9347df6269e230490106 | 33b2e329cadcf8e34bc0206090d94887d572bcf3 | refs/heads/master | 2020-12-24T18:50:51.705934 | 2016-05-05T18:31:47 | 2016-05-05T18:31:47 | 58,152,071 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,620 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
app_name = "personal_finance"
app_title = "Personal Finance"
app_publisher = "Hemant Pema"
app_description = "Application to manage your personal finance"
app_icon = "octicon octicon-file-directory"
app_color = "grey"
app_email = "hemant@pema.co.za"
app_v... | [
"hemant@pema.co.za"
] | hemant@pema.co.za |
0f138a3cbe085ec7985adaa99bf4cc6bb5ae4c96 | ef7d8cb635d346a3f13c69b65915f318fab2a5b5 | /pamap2/sn/sn_conv_oe_n.py | 55057a4ac829b837b6583f92a5d4959937af107b | [] | no_license | anjanaw/Deep-Metric-Learning-for-HAR | f7dc1cb6305238dc2252f0349060f164a57f9cfd | 54822089c6938cc4c44a2c6bee97ba48ee3bf7ea | refs/heads/master | 2023-02-15T17:20:54.927945 | 2021-01-15T12:08:37 | 2021-01-15T12:08:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,114 | py | import numpy as np
import random
import heapq
from sklearn.metrics.pairwise import cosine_similarity
from keras.models import Model
from keras.layers import Dense, Input, Lambda, Conv1D, MaxPooling1D, Flatten
from keras.layers.normalization import BatchNormalization
from keras import backend as K
import read
import ten... | [
"shyameniw@gmail.com"
] | shyameniw@gmail.com |
d52b59f1f40718023ecf4eeaa487a668f48e8c6a | 3be1ddf42236a1b33ec74ed3bfdd0f8918513733 | /coding-challenges/week07/day01/Q3.Twice.py | 2a78bdb85cd56fb61bca2832de08a7d3ae9cbc3a | [] | no_license | aabhishek-chaurasia-au17/MyCoding_Challenge | 84ef926b550b3f511f1c642fe35f4303c8abb949 | 419d02ad8740a2c00403fd30c661074266d2ba8f | refs/heads/main | 2023-08-29T09:52:36.796504 | 2021-11-07T07:32:09 | 2021-11-07T07:32:09 | 359,842,173 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 570 | py | """
Given an integer array , every element is repeated TWICE , except one
element , Find that element ?
Input : - [1 , 2 , 1, 2 ,4 , 3 ,4 ,3]
Output: - 3
Explanation : HINT : - Use XOR operator ;
"""
def findSingle( ar, n):
res = ar[0]
# Do XOR of all elements and return
for i in range(1,n):
... | [
"abhishekc838@gmail.com"
] | abhishekc838@gmail.com |
f866b0fc0f1edf6197ab857fd8bb5ae40d07d0bb | cf4bbf762ffca3bf9632b90ad367bd8cad867b3a | /Machine Learning A-Z/Part 3 - Classification/Section 16 - Support Vector Machine (SVM)/SVM.py | 6861fbe49f79389f0a6b4b72fdb50373db435fe1 | [] | no_license | schnebly/Machine-Learning | b57601cb4e361a6191466a6a522610968c02dfc8 | c3f6a179aa6182a49540be359df58d3b3a7148bd | refs/heads/master | 2021-05-15T07:55:42.435282 | 2018-03-01T20:54:10 | 2018-03-01T20:54:10 | 108,628,058 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,651 | py | #James Schnebly
# Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the dataset
dataset = pd.read_csv('Social_Network_Ads.csv')
X = dataset.iloc[:, [2, 3]].values
y = dataset.iloc[:, 4].values
# Splitting the dataset into the Training set and Test ... | [
"noreply@github.com"
] | schnebly.noreply@github.com |
316052d06f6e1b68b3bbb4333879346f07326e91 | f12f9c1455b1134bfe1b444dfb9bab40849ab433 | /opencv/pycv_tutorial/drawing.py | 0141cd424ab4d70847e3996e03abeed3c890f61f | [
"MIT"
] | permissive | whaison/PyIntroduction | b4444d9c6e0fa6d0afd1abed8e259ea60e47a3e2 | 433142b25de36552867b209649b17113ca2e11c6 | refs/heads/master | 2021-01-11T15:56:48.331293 | 2016-11-15T07:28:19 | 2016-11-15T07:28:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,500 | py | # -*- coding: utf-8 -*-
## @package pycv_tutorial.drawing
#
# 入出力とGUI: OpenCVの描画
# @author tody
# @date 2016/06/26
import cv2
import numpy as np
# 描画用の空画像の作成
def emptyImage():
img = np.zeros((512, 512, 3), np.uint8)
return img
# 直線の描画
def drawLine(img, pt1, pt2, color, width):
print(dir(c... | [
"tody411@gmail.com"
] | tody411@gmail.com |
20a736f400abdec53fc7cbf139a8ce66474b7350 | 4feb1e08190ec89c85e4bdc2f185743508432c77 | /Files/PyQt Widgets/07_Checkbox.py | fb02ab7954a6f5d8fc03cb2f6addaa61e4b0dd53 | [] | no_license | franksalas/pyqtDev | cb1ddb358b1f45220855b4495427f6183b373348 | 017b86933a6a82c6a666bb74849c1e2713509959 | refs/heads/master | 2021-01-10T11:44:37.742673 | 2016-04-05T21:42:15 | 2016-04-05T21:42:15 | 55,462,510 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 439 | py | from PyQt4.QtCore import *
from PyQt4.QtGui import *
import sys
app = QApplication(sys.argv)
window = QWidget()
window.setWindowTitle('Hello PyQT')
window.setWindowIcon(QIcon('pyqt.png'))
window.setGeometry(50,50,600,400)
checkbox = QCheckBox(window, text='PyQt')
checkbox.move(200,200)
checkbox.setChecked(True) # ... | [
"Frank.salas@gmail.com"
] | Frank.salas@gmail.com |
ed58daa6f322d35c56fc1a469e630dd245d478a2 | a46ce15cb0b86ee9d04fdc89848cc25171fdbf57 | /src/class/predict_datas.py | 962efce84695cdb7d271aa10f5dc9b6ceeba10e9 | [] | no_license | Luning644182206/trec | d429a0ce1c27a6d56d8a1994ecb9e9f522f2eb16 | 618edd0451f789c51e4383b403f4e767e2f3797d | refs/heads/master | 2020-03-22T10:41:21.492132 | 2018-09-05T02:56:25 | 2018-09-05T02:56:25 | 139,920,244 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 8,891 | py | # coding=utf8
# Created on Aug 16, 2018
# @author: luning644182206@emails.bjut.edu.cn
import csv
import os
import re
from nltk.corpus import stopwords
from sklearn.externals import joblib
import numpy as np
from sklearn import metrics
label = {
'GoodsServices': 'Request-GoodsServices',
'SearchAndRescue': 'Req... | [
"luning04@baidu.com"
] | luning04@baidu.com |
8e0cd76c2ddd913712e3ba1fe50c64da72ba6d4f | 1a911748c1f320340dcd32fe31950dbd82abddb3 | /utils/vision_utils.py | cb9e13d2ea35dacdc9c5df14427ab13cfe121444 | [] | no_license | icebox365/RE-OCR | 8157618dd387fe21ae73483711fb705e8355c067 | 30707591d18671c006b6b887cc55fb3cd0e2fc11 | refs/heads/master | 2021-04-09T11:10:08.682805 | 2018-03-16T08:40:52 | 2018-03-16T08:40:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,513 | py | import base64
import json
import math
import cv2
import numpy as np
import requests
from PIL import Image, ExifTags
from logger import *
def load_image(image_path):
try:
image = Image.open(image_path)
orientation = None
for orientation in ExifTags.TAGS.keys():
if ExifTags.TAGS[... | [
"ice.box@email.com"
] | ice.box@email.com |
fd1b1cf74dbd869f6021d7d713f9dc3417f28f25 | f3c7e2c147447ce62e5583765d6881c3d64d56e1 | /jingdong/jingdong/spiders/jdspider.py | 97500ebef1219169ecde54983479b8dcffd5b967 | [] | no_license | YNZ-ying/scrapyjingdong | 3d4bb789724c4a87782821779cfed4330a17dc9c | 0f22a4fe9b701661c29a44b97a37329a7d7bb4b0 | refs/heads/master | 2020-04-29T20:56:00.461158 | 2019-03-19T01:23:40 | 2019-03-19T01:23:40 | 176,397,560 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,172 | py | # -*- coding: utf-8 -*-
import scrapy
import re
import requests
import json
from jingdong.items import JingdongItem
class JdspiderSpider(scrapy.Spider):
name = 'jdspider'
allowed_domains = ['jd.com']
start_urls = ['https://search.jd.com/Search?keyword=python']
def start_requests(self):#重写start_reqoues... | [
"44636518+YNZ-ying@users.noreply.github.com"
] | 44636518+YNZ-ying@users.noreply.github.com |
2df4bb235e74bddda5a598651e549633c9efd2e1 | cb4aefac26b2a0e9bc755057073e8964c1cda094 | /AdaBoost_Project2/AdaBoost.py | ace404c51efbb3ee0e3ac0b003db16955608d5ab | [] | no_license | xj260098061/Machine-Learning-in-Action-Python3 | 7644666aec766a1dd6ccb96f49a99d819950d129 | 17a2613b63d5430f55e0c62f1eca86310485da22 | refs/heads/master | 2021-08-09T01:18:22.479560 | 2020-12-08T13:53:48 | 2020-12-08T13:53:48 | 229,924,707 | 0 | 0 | null | 2019-12-24T10:52:18 | 2019-12-24T10:52:17 | null | UTF-8 | Python | false | false | 7,105 | py | # -*- coding: utf-8 -*-
"""
Created on Thu Jul 26 20:14:03 2018
@author: wzy
"""
import numpy as np
import matplotlib.pyplot as plt
"""
函数说明：加载文件
Parameters:
fileName - 文件名
Returns:
dataMat - 数据矩阵
labelMat - 数据标签
Modify:
2018-07-26
"""
def loadDataSet(fileName):
# 特征个... | [
"noreply@github.com"
] | xj260098061.noreply@github.com |
f2b463399f3b009736d6d97a1624e506b6eb9cc2 | 29db15f8fa63ba3be683f5728a03c0574c87e1ab | /examples/benchmark.py | 9be5f75366c1e9c9a8e3946bbe8d4eb1f5871ceb | [
"Apache-2.0"
] | permissive | gc-ss/python-lsm | aaf2f0f97bc2bbce82488eb5a904fe81008d18d8 | e44ede1fcf4677085a9be374534c09f936496ba5 | refs/heads/master | 2023-06-13T09:07:46.533135 | 2021-07-12T14:25:59 | 2021-07-12T14:25:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,430 | py | import json
import os
import struct
import tempfile
from argparse import ArgumentParser, Action
from glob import glob
from multiprocessing import cpu_count
from random import shuffle
from threading import local, RLock
from typing import Union
from pathlib import Path
import lsm
from multiprocessing.pool import ThreadP... | [
"me@mosquito.su"
] | me@mosquito.su |
f7ec5455f6feef4864826a255008ce732cbf0b1e | c0770e3350c79c63b56a8038a1a22078c53e46de | /scraper/views.py | fa63cd41198adba0a83797f510cc82f4d176f9f0 | [] | no_license | iamksm/mdundoscraper | 2c6f43d43326452637a8724eb5d51ff587ece3d5 | fcba6a77bc36ed62bb7e1ddad6ae94064f27a913 | refs/heads/main | 2023-05-28T13:57:35.185158 | 2021-06-07T08:29:12 | 2021-06-07T08:29:12 | 373,785,249 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,940 | py | from django.http import HttpResponse, JsonResponse
from django.shortcuts import render
from .forms import ArtistForm, ArtistPrefix
from .scraper import find_songs, list_artists
def indexDF(request): # indexDF - Index Django Form
"""
The Main Django Form Page
Creates 2 Forms using Django Forms
Form g... | [
"kossam.ouma@healthcloud.co.ke"
] | kossam.ouma@healthcloud.co.ke |
9edd0a4b85f54aeb166db6a8ce12ab39e5b12ff1 | 14ce83026e0b6342b8efc3a443f097acb40f737f | /treinamento_yale.py | f419b92b8f2d59d0252d4d166301b19c0e62a9bb | [] | no_license | Theus-Simons/Projeto-Integrador | 7f10770f93e487d8c6869ca250f47fa12395ada1 | 69d006e0d2bf2d85f23ef20b97ed99027c7dff95 | refs/heads/master | 2021-05-19T14:15:16.301062 | 2020-04-02T18:44:49 | 2020-04-02T18:44:49 | 251,752,033 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,054 | py | import cv2
import os
import numpy as np
from PIL import Image
eigenface = cv2.face.EigenFaceRecognizer_create(40, 8000)
fisherface = cv2.face.FisherFaceRecognizer_create(3, 2000)
lbph = cv2.face.LBPHFaceRecognizer_create(2, 2, 7, 7, 50)
def getImagemComId():
caminhos = [os.path.join('yalefaces/treinamento', f) fo... | [
"nino.schmidt10@gmail.com"
] | nino.schmidt10@gmail.com |
89691ae5e0b50fad2f7b8edcd5d74695601db8de | 8954988f7c9aa9dd9ae984b5f214d45d981b612b | /_temp/GED.py | 9ef5151453404b9ed3e2c1e17842c6b44f53e9e5 | [] | no_license | MoamerEncsConcordiaCa/GED_python | 5494c7f0523d938b9832ee155d71c0dca5d3e1f6 | 7ad9f96e4d7b2ca6b1b91ec2386b4fa93ceacd67 | refs/heads/master | 2021-01-10T22:11:57.151730 | 2016-11-19T06:48:14 | 2016-11-19T06:48:14 | 42,900,832 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,111 | py | '''
Created on Apr 2, 2014
@author: mo_amer
'''
import networkx as nx
#from costCommon import *
from costWordGraphs import *
def mapNodeToNode(Node1,Node2):
return [Node1, Node2]
def addToMapS(mapNew, maps):
allMaps = []
allMaps.extend(maps)
allMaps.append(mapNew)
return allMa... | [
"mo_amer@encs.concordia.ca"
] | mo_amer@encs.concordia.ca |
6ecc78f6d086a53dde0ae983405f8ee8e2f545c7 | 2aaf0ae5d269ddbfcafd5a97eb69b3f8e6f33848 | /pandas_test_mines.py | 9fc3543ec14b128b28448f5511968fc853f48230 | [] | no_license | vshumanov/random | e992d60b05d857565db8502271082dece7c61e0b | 69c5133467f7015863a653342308c034bfe628ed | refs/heads/master | 2021-10-25T09:39:56.398000 | 2019-04-03T14:58:29 | 2019-04-03T14:58:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 372 | py | # -*- coding: utf-8 -*-
file = 'datasets/rocks_vs_mines.csv'
import pandas as pd
data = pd.read_csv(file,header=None,prefix='V')
#print data.head()
#print data.tail()
print 'Data Summary'
print '-'*15
#print data.describe()
dataRow2= data.iloc[1,0:60]
print dataRow2.mean()
mean = 0.0
nEl = len(dataRow2)
for i in... | [
"vl.shumanov@gmail.com"
] | vl.shumanov@gmail.com |
b41c95a9b28983c9ed8e4ba2abdaeea6f64bebb8 | 16ec9ff55483dfd3b01e39d24c51ffd4f7eb76ed | /drl/openai/cartpole.py | a6c15792d7d48ffc5d09c7ce5b4577c5b1f889e6 | [] | no_license | msiegenthaler/deep-reinforced-learning-course | e3d7c3bf35bee279d4046470c6c6e0fb3da45dc5 | ca185748151d4836d328998a92b08138527ee600 | refs/heads/master | 2020-04-21T13:03:27.305322 | 2019-03-19T18:28:19 | 2019-03-19T18:28:19 | 169,585,640 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 644 | py | from torch import Tensor
from drl.deepq.game import Action
from drl.openai.game_openai import OpenAIFrameGame
import torchvision.transforms as T
class CartPoleVisual(OpenAIFrameGame):
actions = [Action('left', 0, 0),
Action('right', 1, 1)]
def __init__(self, x: int, y: int, t: int):
self.transf... | [
"mario.siegenthaler@linkyard.ch"
] | mario.siegenthaler@linkyard.ch |
41c637bc21bc87c0fcd0cdd0a30c6b647570568f | 5757f1767ba1c7bface68914a45992c77cca4e85 | /decodeqr.py | 12f3d7cde2728946101fb598c78a1971c11b90d0 | [] | no_license | MaybeSHAH/store-image-flaskapp | fa88e67131ca27b6426b9b436e46cafe57d2485a | 66ac8d15080a0943fb28df9c619163e27bafdae5 | refs/heads/master | 2023-03-11T07:12:54.681416 | 2021-02-24T14:54:15 | 2021-02-24T14:54:15 | 343,741,646 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 736 | py | import cv2
# initalize the cam
cap = cv2.VideoCapture(0)
# initialize the cv2 QRCode detector
detector = cv2.QRCodeDetector()
while True:
_, img = cap.read()
# detect and decode
data, bbox, _ = detector.detectAndDecode(img)
# check if there is a QRCode in the image
if bbox is not None:
# dis... | [
"liyakatshaikh07@gmail.com"
] | liyakatshaikh07@gmail.com |
8730fe40d6afee5489efb681abbd8a1558376fde | fa9bae32c203323dfb345d9a415d4eaecb27a931 | /300. Longest Increasing Subsequence.py | b82de73f335d402df481d244806faaeea8693e58 | [] | no_license | IUIUN/The-Best-Time-Is-Now | 48a0c2e9d449aa2f4b6e565868a227b6d555bf29 | fab660f98bd36715d1ee613c4de5c7fd2b69369e | refs/heads/master | 2020-09-14T12:06:24.074973 | 2020-02-15T06:55:08 | 2020-02-15T06:55:08 | 223,123,743 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,532 | py | class Solution:
def lengthOfLIS(self, nums: List[int]) -> int:
if not nums:
return 0
dp = [1 for _ in range(len(nums))]
for i in range(len(nums)):
for j in range(i):
if nums[i] > nums[j] and dp[i] < dp[j] + 1:
dp[i] = dp[j] + 1
... | [
"liuyijun0621@hotmail.com"
] | liuyijun0621@hotmail.com |
4d52c8a3c4fec04aa406993409e869ae52c90037 | 1a95919667484ee14dd6e10a066d3f692a3e3e41 | /src/webchart/test/migrations/0001_initial.py | 31a2da26d4afcf527e157fbe7a4b7728ad6374f7 | [] | no_license | Dmaner/HKDATA | 0f020592973519158cec4563a8c4a731c10df191 | 6d31c092a5f7c10cb8ac6f57530c8039076643bf | refs/heads/master | 2020-08-27T09:46:00.358207 | 2019-11-26T14:56:01 | 2019-11-26T14:56:01 | 217,322,026 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 539 | py | # Generated by Django 2.0.4 on 2019-11-07 09:21
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='WORD',
fields=[
('id', models.AutoField(aut... | [
"2663515256@qq.com"
] | 2663515256@qq.com |
515a1a3aa905f76ef6b4c1b87ae05f03d8e35b6d | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p02803/s686310385.py | 3a37e7ca42661e163c159312bf8de6178b6bd0a3 | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,011 | py | import sys
h, w = map(int, input().split())
C = [list(input()) for i in range(h)]
ans = 0
for i in range(h):
for j in range(w):
visited = [[0 for i in range(w)] for i in range(h)]
data = []
if C[i][j] == '.':
data.append([i, j])
visited[i][j] = 1
... | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
c19f30d455d48c06b2f777ebb53f33baa357faf8 | 1ee8f4707c9025ffe93152e91c2486cf1b332dd0 | /Code/site-packages/docplex/mp/sttck.py | 133637369b745831d2d7fd11d858a9d626131b68 | [] | no_license | qfizik/BEP | 7f05795dd7f7a4cf796aae2808eedbc426472eb9 | f2848e3121e976540fb10171fdfbc6670dd28459 | refs/heads/master | 2023-02-02T03:54:55.452530 | 2020-12-18T16:02:46 | 2020-12-18T16:02:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,842 | py | # --------------------------------------------------------------------------
# Source file provided under Apache License, Version 2.0, January 2004,
# http://www.apache.org/licenses/
# (c) Copyright IBM Corp. 2015, 2016
# --------------------------------------------------------------------------
# gendoc: ignore... | [
"martijnswenne@hotmail.com"
] | martijnswenne@hotmail.com |
f9ecbc5c0152d0cce3a931c93ed51505e3581f35 | b7f3edb5b7c62174bed808079c3b21fb9ea51d52 | /third_party/blink/tools/blinkpy/bindings/print_idl_diff.py | fd3cb868b5ac75e97baa0645c5fbfdcbc196a0d2 | [
"LGPL-2.0-or-later",
"GPL-1.0-or-later",
"MIT",
"Apache-2.0",
"LicenseRef-scancode-warranty-disclaimer",
"LGPL-2.1-only",
"GPL-2.0-only",
"LGPL-2.0-only",
"BSD-2-Clause",
"LicenseRef-scancode-other-copyleft",
"BSD-3-Clause"
] | permissive | otcshare/chromium-src | 26a7372773b53b236784c51677c566dc0ad839e4 | 64bee65c921db7e78e25d08f1e98da2668b57be5 | refs/heads/webml | 2023-03-21T03:20:15.377034 | 2020-11-16T01:40:14 | 2020-11-16T01:40:14 | 209,262,645 | 18 | 21 | BSD-3-Clause | 2023-03-23T06:20:07 | 2019-09-18T08:52:07 | null | UTF-8 | Python | false | false | 14,275 | py | #!/usr/bin/env python
# Copyright 2015 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.
"""Print a diff generated by generate_idl_diff.py.
Before printing, sort the diff in the alphabetical order or the order of
diffing tags... | [
"commit-bot@chromium.org"
] | commit-bot@chromium.org |
b92d585af88133a85043e6133717faed799afdb6 | ac282aae4170238122ac8df8dce7a00b77153fe6 | /sdk/python/pulumi_kubernetes/coordination/v1beta1/outputs.py | 2462eb82dc850a328a571b9f112a8a21e6b6b928 | [
"Apache-2.0"
] | permissive | vizv/pulumi-kubernetes | 1b85a90477c2f7b0c0309b372239ca074fab65b6 | 80d6793e07e833b7f2b6b678a2d5c447caa99fcc | refs/heads/master | 2023-07-12T03:00:11.964743 | 2021-08-19T23:45:40 | 2021-08-19T23:45:40 | 398,131,961 | 0 | 0 | Apache-2.0 | 2021-08-20T02:28:07 | 2021-08-20T02:28:06 | null | UTF-8 | Python | false | false | 8,072 | py | # coding=utf-8
# *** WARNING: this file was generated by pulumigen. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
from . import outp... | [
"noreply@github.com"
] | vizv.noreply@github.com |
3a71a6954b18540b5826f16931684603f424880a | 37e552e107dcd193b278eea58f51107ab75b2232 | /Lesson1/test1.py | 516a2ff5a7d5954e84d161b46790ea5587d48bf1 | [] | no_license | IrenSpecter/LearnProject | 6aded99e3ed1b617045f558b193a032cdd4fda7a | 8308b5b393c511f368592d311d8dad50ac57cbf3 | refs/heads/master | 2020-03-21T09:24:26.314197 | 2018-07-12T20:53:56 | 2018-07-12T20:53:56 | 138,398,275 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 587 | py | user={
'Andrew':{'city':'Москва','temp':'25','wind':'восточный'},
'Max':{'city':'Spb','temp':'20','wind':'северный'},
'Alex':{'city':'Amsterdam','temp':'22','wind':'северо-западный'}
}
name=input('назовите ваше имя: ')
# if name=='Alex':
# print(user['Alex'])
# elif name=='Max':
# print(user['Max'])
# elif name=='An... | [
"dubrovina.iri@gmail.com"
] | dubrovina.iri@gmail.com |
c33cdfd37fc9fdf05fe22f55f1193cc6370acf98 | 25f31909afa432e49b0a77fc469cd9d6e6d72d70 | /lab assingnments/ex1.py | 2aa0a52c9fcdfd0104d3512bac7ca89a72d4604d | [] | no_license | VenkySVR/Python-DataStructures | 7d13e044b705fd232db9f0997981ee11f9fb88ad | bac0e1697f4da00b93c9fc879f027ddb7371e252 | refs/heads/master | 2021-04-19T19:52:05.154734 | 2020-05-09T10:50:57 | 2020-05-09T10:50:57 | 249,631,604 | 1 | 0 | null | 2020-05-06T17:14:54 | 2020-03-24T06:37:05 | Python | UTF-8 | Python | false | false | 1,489 | py | #problem1
#create a variable savings. this is a comment line in python
mySavings=550
print(mySavings)
#print out savings
#problem2
#Create a variable savings
mySavings=550
#Create a variable balance
Balance=1.1
#Calculate result
result=100*1.1**7
#Print out result
print(result)
#problem3
#Create a variable others
o... | [
"venky.s.vr13@gmail.com"
] | venky.s.vr13@gmail.com |
5441774bb7af2ab794278518d094012e4d0d7bf2 | db28c236fe2d68a0b2d44663f11b56bb3ac963c0 | /tests/attr/test_shapley.py | 4bf8248caa5eb9c463f07593c99a29ba024fcd90 | [
"BSD-3-Clause"
] | permissive | kolvia/captum | 30e26b959a04a8e4b790df0ef228d49606c52c8a | 4b6280296dbc740df09afdc592b74e27e0b7ce88 | refs/heads/master | 2020-12-27T22:20:23.103700 | 2020-02-18T19:46:25 | 2020-02-18T19:46:25 | 238,082,789 | 0 | 0 | BSD-3-Clause | 2020-02-03T23:22:42 | 2020-02-03T23:22:41 | null | UTF-8 | Python | false | false | 10,349 | py | #!/usr/bin/env python3
from typing import Any, Callable, Optional, Tuple, Union
import unittest
import torch
from torch import Tensor
from captum.attr._core.shapley_value import ShapleyValueSampling
from captum.attr._utils.typing import TensorOrTupleOfTensors
from .helpers.basic_models import (
BasicModel_Mult... | [
"facebook-github-bot@users.noreply.github.com"
] | facebook-github-bot@users.noreply.github.com |
4cb63b631290bc2f13d74431375d4cdb27a24618 | eb64b799ff1d7ef3a244bf8e6f9f4e9118d5cfcd | /tests/components/mqtt/test_device_trigger.py | 972b0678ed276b84265f91a5dcfc00732b056518 | [
"Apache-2.0"
] | permissive | JeffLIrion/home-assistant | 53966b81b5d5816679f12fc761f79e8777c738d6 | 8f4ec89be6c2505d8a59eee44de335abe308ac9f | refs/heads/dev | 2023-08-22T09:42:02.399277 | 2022-02-16T01:26:13 | 2022-02-16T01:26:13 | 136,679,169 | 5 | 2 | Apache-2.0 | 2023-09-13T06:59:25 | 2018-06-09T00:58:35 | Python | UTF-8 | Python | false | false | 43,657 | py | """The tests for MQTT device triggers."""
import json
import pytest
import homeassistant.components.automation as automation
from homeassistant.components.device_automation import DeviceAutomationType
from homeassistant.components.mqtt import _LOGGER, DOMAIN, debug_info
from homeassistant.helpers import device_regist... | [
"noreply@github.com"
] | JeffLIrion.noreply@github.com |
cea6e3c324c54e393cc9a78f37e3a1ee0d0f0722 | 1dfc6282f1f29e9704345d7eeed05458a3e44bdc | /com/muhaitian/chapter_eleven/ElevenInstance.py | 3bd1b46d801829f69dcebdcfc11baa3e552badc9 | [] | no_license | MuhaitianJose/PythonBasicTutorial | 1b6713065c08782b6cc8ae90f8a11a04f98fbcde | 479c9cf87b363b2bbeecc88e477764bdfd974b6c | refs/heads/master | 2021-08-24T06:06:55.960579 | 2017-12-08T10:07:13 | 2017-12-08T10:07:13 | 112,460,289 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 56 | py | value_a = set([1, 2, 3, 4])
value_b = set([2, 3, 4, 5])
| [
"muhaitian_Jose@126.com"
] | muhaitian_Jose@126.com |
da12eac167a9b7c626814f70ce49e2c51647a476 | 25e695fdd953fd955664ce618b75f263cde1e22f | /blog/views.py | d760091b42b1453235ecff343a9f8c0a6a699bcd | [] | no_license | AsmenKoc/my-first-blog | d587d00832ae90d46dbd76e87a67b4e57f7ecf01 | 0fdb9793e119940c88a8c32ea2eda701eb218074 | refs/heads/master | 2021-08-24T07:24:24.993300 | 2017-12-08T16:16:19 | 2017-12-08T16:16:19 | 113,586,781 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 136 | py | from django.shortcuts import render
def post_list(request):
return render(request, 'blog/post_list.html')
# Create your views here.
| [
"asmen.koc@siroop.ch"
] | asmen.koc@siroop.ch |
2ee2f919c8e14ff226d2352904de3c165f600a07 | ec1051c870297ec7123578093d34f3b3508949b6 | /examples/scripts/ct_astra_3d_tv_admm.py | c37647d32e006cf4247a549ae6a8d329b36a704b | [
"BSD-3-Clause"
] | permissive | lanl/scico | 920af63872fe99cf27f76c3914ad80b63d27d915 | 6fe8536343d63024a27275c7d8cfd39ecb492ced | refs/heads/main | 2023-08-08T03:18:37.450592 | 2023-08-04T01:45:55 | 2023-08-04T01:45:55 | 408,799,370 | 74 | 17 | BSD-3-Clause | 2023-08-04T01:45:56 | 2021-09-21T11:50:47 | Python | UTF-8 | Python | false | false | 3,246 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# This file is part of the SCICO package. Details of the copyright
# and user license can be found in the 'LICENSE.txt' file distributed
# with the package.
r"""
3D TV-Regularized Sparse-View CT Reconstruction
===============================================
This example d... | [
"noreply@github.com"
] | lanl.noreply@github.com |
f5bb2ad42db44259d72eaaff7e472bd1ac6e57f5 | 59c42110d525ec398dddc2d84fde2b76a777e1b9 | /manage.py | ba0d1be589eb2fc9f873a1503c6897a6ec46cf5f | [] | no_license | likun-github/boat-back | a5b65ef022f1b923be1e45e0964f63e13933368d | f8ac2aa12a616ebe0a30bf050a96903a9c826ec5 | refs/heads/master | 2020-05-01T16:26:19.858300 | 2019-04-05T05:44:52 | 2019-04-05T05:44:52 | 177,571,886 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 538 | py | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "weixin.settings")
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are y... | [
"1397608894@qq.com"
] | 1397608894@qq.com |
90a5fb3b23d10eab0070b43d5fe84a11b02fbc56 | ac042704660f07263a9b7918c9d19e8027e2c01b | /qn 56.py | 14480e85e7a17ca6896cc345322b794f040f1065 | [] | no_license | Prashant414/python | 23387f2d205ceb36f141e4b4529ff9c3e80d2679 | f5ff2b280b4bf29df2723b9d1d16690e65aaf62f | refs/heads/main | 2023-03-21T10:23:32.119726 | 2021-03-09T17:59:45 | 2021-03-09T17:59:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 138 | py |
# **********
# **********
# **********
# **********
for i in range (4):
for j in range (1,11):
print("*",end="")
print() | [
"prashantshyam09@gmail.com"
] | prashantshyam09@gmail.com |
fe8a76e55d0a3954f0764b28af99e19087bbb644 | 0dac4df338635ce076a9c3868c667892d1e18a33 | /storage/utils/random_number.py | 3a5017c1f822cd36e95ad914cab40ea32fca0786 | [] | no_license | kierodeveloper/registro_kiero | eb47fdd9d06e56fb5bf44e2aeea208456d38fce9 | e65a04df99cc46145f9ff66db2d04fa4bfec977e | refs/heads/master | 2020-07-27T06:03:11.027740 | 2019-10-02T14:15:07 | 2019-10-02T14:15:07 | 208,894,889 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 641 | py | # the random generation of string id's
import random
import string
from datetime import datetime, timedelta
# defining function for random
# string id with parameter
def ran_gen(size, chars=string.ascii_uppercase + string.digits):
generateID = ''.join(random.choice(chars) for x in range(size)) ... | [
"root@ip-172-31-29-247.us-west-2.compute.internal"
] | root@ip-172-31-29-247.us-west-2.compute.internal |
87147507c8e1cd5130cc800f955dde6f2ba83b93 | 5a96a225f2be824b6f4d6c7262d6ef3ca858ed75 | /computer_science/data_structures/graph/graph.py | 8058fb6c2aac676ab08b994443f0e5ce20d968ee | [
"MIT"
] | permissive | paaqwazi/algorithms | e216901bd1b8291cab147c1345689071dffec52f | cc35be3e626849bb9df379bb844d54745e77fae5 | refs/heads/master | 2020-12-12T22:09:03.510761 | 2020-01-13T00:39:55 | 2020-01-13T00:39:55 | 234,241,516 | 1 | 0 | MIT | 2020-01-16T05:19:25 | 2020-01-16T05:19:25 | null | UTF-8 | Python | false | false | 410 | py | class Vertex:
def __init__(self, key):
self.key = key
self.connected_to = {}
def add_neighbor(self, neighbor, weight):
self.connected_to[neighbor] = weight
class Graph:
def __init__(self):
self.vertices_list = {}
self.number_of_vertices = 0
def add_vertex(self,... | [
"leandrotk100@gmail.com"
] | leandrotk100@gmail.com |
c4797707b058479632ef3c760dbd3484f31d24b1 | 14d501bec1c03b601855dec5da37d5e68bfe0456 | /server.py | 9a0168f4162b9a28baae3ed9a0d60d8635957c62 | [] | no_license | butlerwilson/python-machine-learning-api-service | 3ea2fa25dddd004cd6fc5795eb761b78df4f10a9 | 7c5a11d4f6fe2e5d2406cf74c6ff891c131ca0e9 | refs/heads/master | 2022-12-13T03:00:06.168708 | 2019-12-23T13:26:28 | 2019-12-23T13:26:28 | 229,757,544 | 0 | 0 | null | 2022-12-08T03:20:53 | 2019-12-23T13:25:16 | Python | UTF-8 | Python | false | false | 950 | py | from flask import Flask
from flask import request
from flask import jsonify
import joblib
import numpy as np
MODEL_PATH = "./model/rfc.model"
model = joblib.load(MODEL_PATH)
app = Flask(__name__)
@app.route('/', methods=["POST"])
def predict():
if not request.json or "feature" not in request.json:
resp... | [
"youngcy.youngcy@gmail.com"
] | youngcy.youngcy@gmail.com |
53d8e4826322099bd5d975c7f752bccd7559efc4 | 1bdc2b98e4c20a4d6af9171ea718c1a1791183bf | /manage.py | 2dab35b65444641238438c27df7b1d5514504b54 | [] | no_license | coderfender/Travello | 01cb912faf5a3f7318d3be97d78b4be1400dd213 | ab58170515d31ebf791d386534c8013e3481f05e | refs/heads/master | 2021-01-10T13:09:13.852848 | 2015-05-26T15:37:19 | 2015-05-26T15:37:19 | 36,289,512 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 251 | py | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "Travello.settings")
from django.core.management import execute_from_command_line
execute_from_command_line(sys.argv)
| [
"="
] | = |
c0a8cde7f00cf0185826da2f753d256bf80f6ff6 | 732947cb3c34f591817b269d1139c647452e3e00 | /sched/adaptdl_sched/config.py | 0123972cbfe8caaef25bdb94ff4068cf89004799 | [
"Apache-2.0"
] | permissive | rohitpandey13/adaptdl | 903318196e8c2e4634aabdc7889bcc3f136aeea7 | 0edd48bb9ed3c67b84f0218cd62f97cf0e7d7e4f | refs/heads/master | 2022-12-22T11:02:00.766040 | 2020-09-18T23:42:42 | 2020-09-18T23:42:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,674 | py | # Copyright 2020 Petuum, Inc. 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 applicable law or... | [
"qiao@aurick.net"
] | qiao@aurick.net |
49d55034755b4bf81a61b7e64c7061aa94808c3d | cf7e21d1ef3a281c77e8b459b9c34d8996574934 | /scripts/scenario_2/03-kmeans.py | 3611873650d51ea1ca70acd505fd1f8d8e41560f | [
"MIT"
] | permissive | StevenGolovkine/fcubt | f8d056cc621259f41cb9b3b96b099791357b2473 | fdf7c7c11c9e94733c50ecb90a641868394fd347 | refs/heads/main | 2023-07-28T16:17:23.369730 | 2021-09-12T12:54:27 | 2021-09-12T12:54:27 | 304,015,361 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,930 | py | import multiprocessing
import numpy as np
import pickle
import sys
import time
from FDApy.representation.functional_data import DenseFunctionalData
from FDApy.clustering.fcubt import Node, FCUBT
from joblib import Parallel, delayed
from skfda import FDataGrid
from skfda.ml.clustering import KMeans
from sklearn.metri... | [
"steven_golovkine@icloud.com"
] | steven_golovkine@icloud.com |
3a5f896d5ba0aac048d5ea1e134f177046072d1e | 2c74bb301f1ed83b79254944183ac5a18a639fdf | /homeassistant/components/arcam_fmj/device_trigger.py | 13f1acc7244dcccb42cae2800e78bda4f5782e16 | [
"Apache-2.0"
] | permissive | Adminiuga/home-assistant | 5bec93007ddac1a268cc359bf7e48530c5f73b38 | dcf68d768e4f628d038f1fdd6e40bad713fbc222 | refs/heads/dev | 2023-02-22T22:03:31.013931 | 2022-11-09T00:27:20 | 2022-11-09T00:27:20 | 123,929,062 | 5 | 4 | Apache-2.0 | 2023-02-22T06:14:31 | 2018-03-05T14:11:09 | Python | UTF-8 | Python | false | false | 2,641 | py | """Provides device automations for Arcam FMJ Receiver control."""
from __future__ import annotations
import voluptuous as vol
from homeassistant.components.device_automation import DEVICE_TRIGGER_BASE_SCHEMA
from homeassistant.const import (
ATTR_ENTITY_ID,
CONF_DEVICE_ID,
CONF_DOMAIN,
CONF_ENTITY_ID,... | [
"noreply@github.com"
] | Adminiuga.noreply@github.com |
e0a887f8f0744c208b8845e00093e2284ad4b53f | 954de20148e5cc14a79439e532b51d790b4ef15a | /Chapter05/cars.py | d4bd3814fb1dde3955d03f0a6ee8f7019768f02b | [] | no_license | d1rtyst4r/archivetempLearningPythonGPDVWA | 8803114f0bf9a3bbce55610bed477533c58b3630 | 794cab59c3f2cfabb677d7add5f3ecf3daf71e44 | refs/heads/master | 2023-04-10T01:42:51.505569 | 2023-04-02T10:38:04 | 2023-04-02T10:38:04 | 138,033,431 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 231 | py | # IF, True and False
cars = ['bmw', 'audi', 'toyota', 'subaru']
for car in cars:
if car == 'bmw':
print(car.upper())
else:
print(car.title())
car = 'Audi'
print(car == 'audi')
print(car.lower() == 'audi')
| [
"33938604+d1rtyst4r@users.noreply.github.com"
] | 33938604+d1rtyst4r@users.noreply.github.com |
ed93a4271eec05eab703e58e673e8f9dd0da1e3d | d05a59feee839a4af352b7ed2fd6cf10a288a3cb | /xlsxwriter/test/comparison/test_chart_column02.py | da03686f3aa3f77a1c4ba136699b681a49eb3040 | [
"BSD-2-Clause-Views"
] | permissive | elessarelfstone/XlsxWriter | 0d958afd593643f990373bd4d8a32bafc0966534 | bb7b7881c7a93c89d6eaac25f12dda08d58d3046 | refs/heads/master | 2020-09-24T06:17:20.840848 | 2019-11-24T23:43:01 | 2019-11-24T23:43:01 | 225,685,272 | 1 | 0 | NOASSERTION | 2019-12-03T18:09:06 | 2019-12-03T18:09:05 | null | UTF-8 | Python | false | false | 1,319 | py | ###############################################################################
#
# Tests for XlsxWriter.
#
# Copyright (c), 2013-2019, John McNamara, jmcnamara@cpan.org
#
from ..excel_comparsion_test import ExcelComparisonTest
from ...workbook import Workbook
class TestCompareXLSXFiles(ExcelComparisonTest):
"""... | [
"jmcnamara@cpan.org"
] | jmcnamara@cpan.org |
8ebcae65d2c1f6f4951608633db89ad5033ad7b8 | 3410950092562bf858b8611bdfef6e950b5560a5 | /Easy_inOut_AutoParking/scripts/controller_right.py | 5e7d02cc21fdeb53687dd21664c7f3270126b264 | [] | no_license | hajeonghan/wecar | 116ad7f029dbb398a22979363745af09097c05ce | f267643d2598604569e0dde0e1ca1cb408fcb9c8 | refs/heads/master | 2023-01-06T02:14:31.898083 | 2020-11-06T03:00:18 | 2020-11-06T03:00:18 | 278,515,229 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,914 | py | #!/usr/bin/env python
# echo_server.py
#-*- coding:utf-8 -*-
import rospy
from sensor_msgs.msg import LaserScan,PointCloud
from std_msgs.msg import Float64
from vesc_msgs.msg import VescStateStamped
from math import cos,sin,pi
from geometry_msgs.msg import Point32
class right_controller:
def __init__(self):
... | [
"noreply@github.com"
] | hajeonghan.noreply@github.com |
89f0113b3df959891f12d41f1f47971505436938 | 3ca67d69abd4e74b7145b340cdda65532f90053b | /LeetCode/Math/Unique Binary Search Trees/6047198844.py | 5bd76d22baf3f68d298c888dc5b618012c22a961 | [] | no_license | DKU-STUDY/Algorithm | 19549516984b52a1c5cd73e1ed1e58f774d6d30e | 6f78efdbefd8eedab24e43d74c7dae7f95c2893b | refs/heads/master | 2023-02-18T06:48:39.309641 | 2023-02-09T07:16:14 | 2023-02-09T07:16:14 | 258,455,710 | 175 | 49 | null | 2023-02-09T07:16:16 | 2020-04-24T08:42:27 | Python | UTF-8 | Python | false | false | 242 | py | class Solution:
def numTrees(self, n: int) -> int:
memo = [0]*(n+1)
memo[0] = memo[1] = 1
for i in range(2, n+1):
for j in range(i):
memo[i] += memo[j]*memo[i-j-1]
return memo[n] | [
"2615240@gmail.com"
] | 2615240@gmail.com |
c1f2b57678f0104c5139a3a786e43dbc126dbea2 | 58f943c7e0b063a5ef689e52ee31188577f6110d | /2. Using Python to Interact with the Operating System/Week 4/Data Streams/streams.py | 4d8e110a6bd0f88a95800a27e1859d26ab1e8018 | [] | no_license | nikolayninov/Google | f99f2aaf8224b37beaf407145a5a112d6901039f | c46440d8209875eb3236d9c680d80dd1b430244b | refs/heads/master | 2020-12-29T07:03:37.246804 | 2020-04-04T12:46:49 | 2020-04-04T12:46:49 | 238,504,477 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 165 | py | #!/usr/bin/python3
data = input("This will come from STDIN: ")
print("Now we write it to STDOUT: " + data)
print("Now we generate an error to STDERR: " + data + 1)
| [
"nikininov1@gmail.com"
] | nikininov1@gmail.com |
793b2e5a024fc539bd31302e8dc1454beb432387 | 6bb45c5892b4c9692dcc44116fb73dc9e7ab90ff | /sagemaker-pipeline-compare-model-versions/evaluate.py | 7961a7861c292fa262341b056359d45a950321af | [
"Apache-2.0",
"BSD-2-Clause"
] | permissive | aws/amazon-sagemaker-examples | 8359afe544e873662bda5b8d2b07399c437213c9 | 43dae4b28531cde167598f104f582168b0a4141f | refs/heads/main | 2023-08-26T04:42:52.342776 | 2023-08-25T14:37:19 | 2023-08-25T14:37:19 | 107,937,815 | 4,797 | 3,519 | Apache-2.0 | 2023-09-14T19:47:03 | 2017-10-23T05:55:22 | Jupyter Notebook | UTF-8 | Python | false | false | 2,694 | py | """Evaluation script for measuring model accuracy."""
import json
import logging
import pathlib
import pickle
import tarfile
import numpy as np
import pandas as pd
import xgboost
from sklearn.metrics import (
accuracy_score,
precision_score,
recall_score,
confusion_matrix,
roc_curve,
)
logger = lo... | [
"noreply@github.com"
] | aws.noreply@github.com |
2619773e6b9abc0cb10f16574e1453baf9e0b51f | 8f988f4fd1044b10c11039a0e38e65980e7af28b | /service/comment.py | 3c80ec41993b6026ce98890edd7e1d3589fcd323 | [] | no_license | hljyunxi/personal_site | fbaa276a90c3e42ec7e7a715525e648b80575b15 | 31cd67712e6fdff134578bf4b18c6d3e7b884973 | refs/heads/master | 2021-01-19T06:26:43.109865 | 2012-12-24T07:18:59 | 2012-12-24T07:18:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,688 | py | import datetime
from google.appengine.ext import ndb
from google.appengine.api import users
from model import *
from singleton import Singleton
from base_service import BaseService
class CommentService(Singleton, BaseService):
def get_comments(self, entity_key_string):
key = ndb.Key(urlsafe = entity_key_string)
... | [
"matin0728@gmail.com"
] | matin0728@gmail.com |
79c22466fafa880444dd06055e1e1df8d366216b | a140fe192fd643ce556fa34bf2f84ddbdb97f091 | /.history/함수기본값_20200705103750.py | 59bb53b6f9122637051f3596b1582ea96f8c3536 | [] | no_license | sangha0719/py-practice | 826f13cb422ef43992a69f822b9f04c2cb6d4815 | 6d71ce64bf91cc3bccee81378577d84ba9d9c121 | refs/heads/master | 2023-03-13T04:40:55.883279 | 2021-02-25T12:02:04 | 2021-02-25T12:02:04 | 342,230,484 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 473 | py | # def profile(name, age, main_lang):
# print("이름 : {0}\t나이 : {1}\t주 사용 언어: {2}"
# .format(name, age, main_lang))
# profile("유재석", 20, "파이썬")
# profile("김태호", 25, "자바")
# 같은 학교 같은 학년 같은 반 같은 수업
def profile(name="dd", age, main_lang="파이썬"):
print("이름 : {0}\t나이 : {1}\t주 사용 언어: {2}"
.format... | [
"sangha0719@gmail.com"
] | sangha0719@gmail.com |
d34aeef1be122ce5b6a7a2bc4f5c489acabb65b3 | 1e0a2ec012905f5c7441701dd32c983b5bb6cd93 | /code/rnn_python/testing_all_data.py | e44d6d3b307e99ef15277be1e9eec2cbfd45108b | [] | no_license | benkha/RRN-Weather | 55740001837e1f2cb690b1cda14e06e7c5bdc5c1 | dd0f273d94b849282438b21532fbbc4fbe523cc8 | refs/heads/master | 2021-01-24T03:43:01.392832 | 2018-04-27T19:53:42 | 2018-04-27T19:53:42 | 122,902,174 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,932 | py | from rnn import *
from parse_data import *
out_path = './data/models_summary/'
HIDDEN_LAYERS = 10
PAST_DAYS = 7
TESTING_PERCENTAGE = 0.1
n_epochs = 300
normalization = 'zcore'
n_in = 18
n_out = 2
print("Hidden Lyers ", HIDDEN_LAYERS)
print("PAST_DAYS ", PAST_DAYS)
print("TESTING_PERCENTAGE ", TESTING_PERCENTAGE)
prin... | [
"ben.kha@outlook.com"
] | ben.kha@outlook.com |
2f72d31f342afd2fb69bd53b974ec2df152958ac | 5233ad777ffe38c9d090db3e50a048f5ae40efeb | /adomicilio/urls.py | 4c8d99810c9af31bbd657835ad29dae4b21b1913 | [
"MIT"
] | permissive | EmaSMach/adomicilio | 410b97c29453112bea941da5b7103f82c496862a | 1b4124735c267623ab2d85bfc2ece201cb3962a0 | refs/heads/master | 2023-07-11T02:27:48.418810 | 2021-08-17T15:36:01 | 2021-08-17T15:36:01 | 293,381,445 | 0 | 4 | null | null | null | null | UTF-8 | Python | false | false | 1,062 | py | """adomicilio URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-ba... | [
"davidemanuelsandoval@gmail.com"
] | davidemanuelsandoval@gmail.com |
e95f53ad8929e7ea33f03c001ca8cc88127d3825 | cc73545251d247a2937b8c8c8b083d2afcb45f51 | /ML-In-Action/Supervised-Learning-Algorithms/decision-trees/trees.py | b4a7d82cfe67a31eeab425f32b4177c494d3b30e | [] | no_license | rustydigg918/cracking-the-data-science-interview | be5b83ecdde10ef14699fe9aa461512cc51bb51c | c2f3e21065885cb7bf81e38a9dc5d7be1785bf39 | refs/heads/master | 2020-06-20T04:11:51.055877 | 2019-07-13T02:24:01 | 2019-07-13T02:24:01 | 196,987,607 | 1 | 0 | null | 2019-07-15T11:42:45 | 2019-07-15T11:42:45 | null | UTF-8 | Python | false | false | 3,850 | py | from math import log
import operator
def createDataSet():
dataSet = [[1, 1, 'yes'],
[1, 1, 'yes'],
[1, 0, 'no'],
[0, 1, 'no'],
[0, 1, 'no']]
labels = ['no surfacing','flippers']
#change to discrete values
return dataSet, labels
def calcShanno... | [
"le_j6@denison.edu"
] | le_j6@denison.edu |
3d13591f1686e2388bab57bd82896252e3ae5ad1 | 1dcd99bb96d9c51b2b561e7c2e54615cf2bc5ced | /Question/sw_expert/D1/2070.py | ad4fe43c458e966ab5707e6cd08c70e0610bd6f7 | [] | no_license | dongsik93/HomeStudy | 62bbcad93be49ed396fe9d50e840f921bb751d4e | 3a28ff8c0b522a546ea2ed07c939f49bac3699c7 | refs/heads/master | 2020-04-15T02:12:36.615830 | 2019-04-05T14:31:10 | 2019-04-05T14:31:10 | 164,306,391 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 267 | py | T = int(input())
for i in range(T):
num = input().split()
for j in range(1,len(num)):
if(num[j-1] == num[j]):
a = "="
elif(num[j-1] < num[j]):
a = "<"
else:
a = ">"
print(f"#{i+1} {a}")
| [
"ehdtlr9376@naver.com"
] | ehdtlr9376@naver.com |
46a7dc7d39d0004436658a782bd0079b40b4fe48 | 69b96f181557286c1cbddbd1502848d6cc744a7a | /Python/GTK/main.py | 0850a8e92eca187283c5dff00c1ceb03796a7e92 | [] | no_license | WeepingDogel/drafts | 1bfe2af41da17529ddefd6b810fdc7fe1a889620 | f011af6ad31b7e3becc213f98999312160f786d1 | refs/heads/main | 2023-07-03T11:25:27.023304 | 2021-08-07T08:30:39 | 2021-08-07T08:30:39 | 376,811,396 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 504 | py | '''
GTK 简易程序
'''
import gi
gi.require_version("Gtk", "3.0")
from gi.repository import Gtk
class Windows(Gtk.Window):
def __init__ (self):
Gtk.Window.__init__(self, title="Hello World")
self.button = Gtk.Button(label="Click Here")
self.button.connect("clicked", self.on_button_clicked)
... | [
"weepingdogel@gmail.com"
] | weepingdogel@gmail.com |
3d989d910f6713c152f986aca7c81af9d1b9ca65 | 38f469b99d7768b4b640dd53bc5d28583287aa54 | /lib/optimize/soft_assign.py | 56dbd3484cdd2e030d2ec54140c117d428173660 | [] | no_license | neumannjan/charging-station-siting-sizing | 32a865feaf8739c0235b4eaa45f1e72084d5b9aa | 7d50935599cbaed0f75a0a04322c2140096d0e32 | refs/heads/main | 2023-07-18T07:16:58.821613 | 2021-09-04T14:06:03 | 2021-09-04T14:08:34 | 369,623,093 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 26,001 | py | import copy
from dataclasses import dataclass
from typing import Any, Dict, List, Optional, Union
import gurobipy as gp
import numpy as np
import pandas as pd
from gurobipy import GRB
from .. import simulation as sim
from .. import utils
from ..budget import BudgetDist, ListBudgetDist, DictBudgetDist
from .hard_assig... | [
"janneumannprg@gmail.com"
] | janneumannprg@gmail.com |
63f339e09d599b1fd3c00a12ce49bac8419f2116 | 2e1fd3bfea9d61d50ee7ee12ef038277e6d4d8dc | /QuestionParser.py | 76750b598d493ec230e5967e2637ea65475e255d | [] | no_license | PatrickLevy/Cetus-Chatbot | da74b3b0f806e2dda126d0fbd9b93a83ef167875 | 8d2a931424c756214a50eed540d9fd7027a6605b | refs/heads/master | 2021-05-10T10:43:16.275124 | 2018-03-15T02:28:44 | 2018-03-15T02:28:44 | 118,391,962 | 0 | 0 | null | 2018-03-14T03:36:09 | 2018-01-22T01:45:33 | Python | UTF-8 | Python | false | false | 1,733 | py | #!/usr/bin/env python3
###########################################
# Question Parser Function(s)
# @input: Raw user input string
# @output: parsed string that can be fed into our AI module
###########################################
def parseInput(inputString):
# Categories
greetingWord = 0
goodbyeWord = 0... | [
"mrpatricklevy@gmail.com"
] | mrpatricklevy@gmail.com |
d1d0da5432589877aed660cf28249bdf1dba9eec | 3744c992514a0d6ac5ae57b4b28910774d40c124 | /courses/urls.py | 27b48c4ecf00b11be157f2ec168b333a40bc6d9d | [] | no_license | inno-asiimwe/treehouse-django-rest | 96a7e67780e439f7f234349784b020ad18d545b3 | 1f4e987a1aa5bf0c79ba19ee256a133e1a84db19 | refs/heads/master | 2021-09-02T00:38:47.974575 | 2017-12-29T12:55:07 | 2017-12-29T12:55:07 | 115,721,670 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 949 | py | """courses URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based... | [
"innocent@Innocents-MacBook-Pro.local"
] | innocent@Innocents-MacBook-Pro.local |
869e1b7818c587f8a141d1475c01a4f6ee1fba91 | 94d1face7f63908f4776d9656d7c509f1f3d7605 | /gradivo/regularization.py | f134dd6f8b74af4eb01946df51e4a9f68839ec60 | [] | no_license | BlazZupan/uozp-zapiski | be7f4e988f7c404db4108619c4fe73f57d726555 | 846ba038f355111f308d654451aba9f5d1126497 | refs/heads/master | 2023-06-08T03:01:08.629668 | 2023-05-28T06:33:28 | 2023-05-28T06:33:28 | 97,014,240 | 11 | 16 | null | 2023-05-28T06:33:29 | 2017-07-12T13:58:26 | TeX | UTF-8 | Python | false | false | 2,631 | py | import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
from sklearn.model_selection import KFold, cross_val_predict
from sklearn.linear_model import Ridge, Lasso, LinearRegression
from sklearn.metrics import r2_score
# load the data, prepare it for sklearn
data = pd.read_excel("bodyfat.xlsx")
m = ... | [
"blaz.zupan@fri.uni-lj.si"
] | blaz.zupan@fri.uni-lj.si |
f510a16e93d238d949d4fc2a786cc29033b9020a | e32154b11d9307855bfa3a28fd5ef909e6ea7fca | /Detox/python/spreadLowRankSets.py | e2230a3d970a8f9582356069147f606b9c54d8b9 | [
"MIT"
] | permissive | cpausmit/IntelROCCS | c5947cb038e338f7bcdf8f3d4d203b45ae0df670 | 526672963452ed33706468ea2dc6fb63510d9090 | refs/heads/master | 2020-04-15T17:28:04.978006 | 2017-03-24T12:17:01 | 2017-03-24T12:17:01 | 17,555,528 | 1 | 4 | null | null | null | null | UTF-8 | Python | false | false | 4,731 | py | #===================================================================================================
# C L A S S
#===================================================================================================
import sys, os, subprocess, re, smtplib, shutil, string, statistics
import phedexApi
import dbInfoHandler... | [
"maxi@mit.edu"
] | maxi@mit.edu |
416a54616a634ee1d6f0d276de0e9ec4f0b850e3 | 61aa319732d3fa7912e28f5ff7768498f8dda005 | /src/dev/Platform.py | 4f28db39fe3d0a476989e9d783707802c3b19110 | [
"BSD-3-Clause",
"LicenseRef-scancode-proprietary-license",
"LGPL-2.0-or-later",
"MIT"
] | permissive | TeCSAR-UNCC/gem5-SALAM | 37f2f7198c93b4c18452550df48c1a2ab14b14fb | c14c39235f4e376e64dc68b81bd2447e8a47ff65 | refs/heads/main | 2023-06-08T22:16:25.260792 | 2023-05-31T16:43:46 | 2023-05-31T16:43:46 | 154,335,724 | 62 | 22 | BSD-3-Clause | 2023-05-31T16:43:48 | 2018-10-23T13:45:44 | C++ | UTF-8 | Python | false | false | 1,955 | py | # Copyright (c) 2005-2007 The Regents of The University of Michigan
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met: redistributions of source code must retain the above copyright
# notice, this ... | [
"sroger48@uncc.edu"
] | sroger48@uncc.edu |
86333736952dac1e7a775e01237283db71ff2ff1 | db6c8209405269d7d3d650ae992b6435d343df2a | /session8/block.py | bf267c29d206b3d9c43202951042ec2583d517f4 | [
"BSD-2-Clause"
] | permissive | macterra/pb-exercises | 3b53322a08ad05d96baa671a56e4fb8a15b93d8a | d606433aa68e2b0806d429d1f388121e10910a10 | refs/heads/master | 2020-04-02T11:40:11.932788 | 2018-11-08T20:57:08 | 2018-11-08T20:57:08 | 154,400,770 | 0 | 0 | BSD-2-Clause | 2018-10-23T21:45:22 | 2018-10-23T21:45:22 | null | UTF-8 | Python | false | false | 10,967 | py | from io import BytesIO
from unittest import TestCase
from helper import (
double_sha256,
int_to_little_endian,
little_endian_to_int,
merkle_root,
)
GENESIS_BLOCK_HASH = bytes.fromhex('000000000019d6689c085ae165831e934ff763ae46a2a6c172b3f1b60a8ce26f')
TESTNET_GENESIS_BLOCK_HASH = bytes.fromhex('000000... | [
"jaejoon@gmail.com"
] | jaejoon@gmail.com |
96f3ef431cdaf6d5f096a36f286a606425eb3bc6 | 42657a8b67660fe8ec7ca92f3c58df68b619f4d5 | /test/test_general.py | 376f0036589f8f42475ff2ce25df99efe082a51d | [] | no_license | bellothornus/Anagrams | e7fcfe05d3a3a8e704839869e443ca0daf892ad9 | 870399db74d409bdfbb68aaa7d6bb626c530a3fb | refs/heads/master | 2023-01-07T07:38:17.968065 | 2020-10-29T18:57:50 | 2020-10-29T18:57:50 | 309,442,734 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 218 | py | from src.code import anagrams
def test_abba():
assert anagrams("abba",["aabb","abcd","bbaa","dada"]) == ["aabb","bbaa"]
assert anagrams("racer", ["crazer","carer","racar","caers","racer"]) == ["carer","racer"] | [
"damia_iv@yahoo.es"
] | damia_iv@yahoo.es |
639f0aa1ce6e1fa972d0216bbf03855c465f84b5 | a6c337d435a4e76e71a18729ec26ee9c47160257 | /shop/urls.py | 2b668837010afa3c125c5a7729e675f1823e5a9d | [] | no_license | sanuk2424/shoppingX | 18a6deb5f5a598ed143604a551607036e10b229a | 50e4ad9a0709920a5df4ba20c7ed777bb5f61d5c | refs/heads/master | 2023-08-17T01:33:09.916970 | 2021-09-15T12:42:51 | 2021-09-15T12:42:51 | 406,473,853 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 457 | py | from django.contrib import admin
from django.urls import path
from . import views
urlpatterns = [
path('',views.index,name="ShopHome"),
path('about/',views.about,name="AboutUs"),
path('contact/',views.contact,name="ContactUs"),
path('tracker/',views.tracker,name="Tracker"),
path('search/',views.sear... | [
"ajay@gmail.com"
] | ajay@gmail.com |
5cbc74b264f6b7dd2691a294cb03e2bfdde072f9 | fec34bb1349385356cf828615d376444ce3e8628 | /F5 grafana/grafana_bados_dashboard/data/plugins/grafana-admdb-datasource/table.py | 1fe9dc0f5a44ac2f58690f78b996016db6620c90 | [] | no_license | alexnimo/F5 | 633085dffefc54a24aaea45ca42562fcff1b8525 | b03cca43941652e0d25b92e6deca7335549b903a | refs/heads/master | 2020-03-17T13:51:26.849342 | 2018-11-19T18:56:35 | 2018-11-19T18:56:35 | 133,647,513 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,208 | py | # how to extract table data from admdb in one shot, using python code injection
s = b"""
import os,json
def chch2a(chch):
# convert 2 chars encode, to ascii char
if chch[0]=='_':
return chch[1]
else:
return chr(int(chch,16))
def fixedDecodeURIComponent(vs):
# demangles encoded vs name
... | [
"noreply@github.com"
] | alexnimo.noreply@github.com |
143515a5e1393feeb57384f0ef8f3d1395fee71f | d17fa59dc0b03dc71787e96473ce92fefbb7b65b | /simulator/test/test_accuracy.py | 83083496e07d696f8a79374563698edc244257a6 | [] | no_license | Dunes/janitor | 517d920ba7fd4a2d9ffe410682bf93593d645b04 | f43be1c7e0b63d579e3351a27003ae25abbf3683 | refs/heads/master | 2021-01-21T05:02:27.056457 | 2015-03-16T14:35:43 | 2015-03-16T14:35:43 | 17,876,786 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 539 | py | """
Created on 20 Jun 2014
@author: jack
"""
import unittest
from accuracy import quantize
from decimal import Decimal
class AccuracyTest(unittest.TestCase):
def test_quantize_with_int(self):
self.assertEqual(Decimal("0"), quantize(0))
def test_quantize_with_float(self):
self.assertEqual(De... | [
"jxh576@cs.bham.ac.uk"
] | jxh576@cs.bham.ac.uk |
e7abb7d013122fac077153081102b85c3a002398 | 69390b62e85ecfe81b6d2b516c5177743222f136 | /Server/puzzle2AI.py | 5ace175226b6fcd86ef4039765d7d27a480a0562 | [] | no_license | mmiller5/Major-Tom | b4da537dda20221328ada8b40d7d61133bae5bb5 | aad68a2ce7e0907b9f8d8e0e47019abf5b662f1c | refs/heads/master | 2020-03-10T23:13:16.079679 | 2018-05-03T16:35:19 | 2018-05-03T16:35:19 | 129,636,575 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,503 | py | # Rudimentary AI for the checkers puzzle
'''
Alpha-Beta Minimax code written by Eric Clinch
https://drive.google.com/drive/folders/1lLCArvni4VB6sL6wTP3qZv-B8_lX2kxX
modified by me
'''
from puzzle2Logic import *
import random
def MaxieMoveAlphaBeta(board, depth, alpha, beta):
assert(alpha < beta)
if depth == 0:... | [
"mmiller5@andrew.cmu.edu"
] | mmiller5@andrew.cmu.edu |
440e26cfdf14cbcc4b30092206aeda748a17c387 | cb596dea60590ef584d03e564203b0a6db3f4fad | /model/TextCNN-tf2.0/corpus/__init__.py | fd52b058393f2c15172caea407279db2fc4a3834 | [] | no_license | yooyisi/TOOLKIT | 79cf7e2912e34c355887bcf610933f5362873446 | 040be8ba10dac6f3e5fcdaa99231bca426f2abf6 | refs/heads/master | 2023-02-23T22:14:01.982336 | 2023-02-12T17:02:31 | 2023-02-12T17:02:31 | 281,157,903 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,017 | py | # -*- coding: utf-8 -*-
import re
from itertools import islice
import sys
import os
FILE_PATH = os.path.split(os.path.realpath(__file__))[0]
PARENT_PATH = os.path.dirname(FILE_PATH) + '/..'
sys.path.append(PARENT_PATH)
train_data_file = FILE_PATH + '/train.txt'
stop_word_file = FILE_PATH + '/stop_word.txt'
import ... | [
"kksjtu@gmail.com"
] | kksjtu@gmail.com |
25ad7ef802f7d87643df8b1cbedb050c10b17906 | dae29b8e0045d72458420d87ba27658e3ecb34e3 | /auchan/migrations/0004_auto__add_tag.py | fa5988ccf7c5d6bfa659bbce4447974b79eb58c3 | [] | no_license | Boussadia/osmscraper | c056641986881a020431e77ab945591eba3017ef | 809c7e0ff31272a69aef480c8405e42799b6fa54 | refs/heads/master | 2021-01-10T00:59:52.044984 | 2013-07-11T14:21:46 | 2013-07-11T14:21:46 | 18,377,210 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 8,097 | py | # -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Tag'
db.create_table('auchan_tag', (
('id', self.gf('django.db.models.fields.Aut... | [
"ahmed.boussadia@gmail.com"
] | ahmed.boussadia@gmail.com |
5f771db2b579a6ea0a948b9ee7063ad7506f7d31 | 7022af77ee07a298a10a652156c4fc16e221e3c8 | /data_reader.py | b4fc213c2531c275a00e428a47b2ede69703abe5 | [] | no_license | AChelikani/ML-Trader | 01c5afb6223ae2f54746e1440dfd20d31819bc1d | 9bfb8445fd2819e2011da5d77c705307c2ec27bc | refs/heads/master | 2021-04-24T19:15:20.026998 | 2018-03-12T02:45:10 | 2018-03-12T02:45:10 | 117,623,844 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,314 | py | import csv
########################################
# Data Format
# Date,Open,High,Low,Close,Volume,Name
########################################
class DataReader(object):
def __init__(self, filename):
self.data = {}
self.outputs = {}
self.read_data(filename)
def read_data(self, filen... | [
"advith.chelikani@gmail.com"
] | advith.chelikani@gmail.com |
6970baf5352002daeeb173171126f4ad46c02acc | f8d9627ee93176af9e39e3855bf4760d7f9e1c0c | /PR_2/F23.py | d4ee47b297c49812b39ab41a640ffbf267c2a1d7 | [] | no_license | LizzieGri/Python | 2d88f9c5935d51126e62c5b6ca59f4b20a7b87f3 | 59cd938ab2021ca85f22f200a9cc24a207d84495 | refs/heads/master | 2023-04-30T01:15:34.601398 | 2021-05-17T10:06:47 | 2021-05-17T10:06:47 | 342,169,018 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 953 | py | def f23(arr):
for i in range(len(arr) - 1, -1, -1):
if None in arr[i]:
del arr[i]
for i in range(len(arr)):
for j in range(len(arr[i])):
if arr[i][len(arr[i]) - 2] == arr[i][len(arr[i]) - 1]:
del (arr[i][len(arr[i]) - 1])
for i in range(len(arr)):
... | [
"65723977+LizzieGri@users.noreply.github.com"
] | 65723977+LizzieGri@users.noreply.github.com |
f53ce2413e89b7f3a72c55e74bf1388a5ab5239b | 8de2869bf284e98de6a9b424e90da5ab361d8aac | /book/_build/jupyter_execute/plotly/SankeyDiagram.py | e15bdc1717cb497625adb13deed7141e759fc4fc | [] | no_license | hossainlab/dataviz | d37081da066bd88165aba41e2a8050ee17a1b131 | e02b38827ab363f907b8c06c8f7ffc98a6a27a8f | refs/heads/master | 2023-07-20T01:42:47.144900 | 2021-08-29T10:43:15 | 2021-08-29T10:43:15 | 291,055,389 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,321 | py | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import plotly.plotly as py
import plotly.graph_objs as go
import plotly.offline as offline
offline.init_notebook_mode(connected=True)
# ## Sankey Diagrams
# Sankey diagrams are a useful way to display movement between locations/nodes.
#
# As an example, assume a per... | [
"work.jubayer@gmail.com"
] | work.jubayer@gmail.com |
d3971377eba99dc7b8add8259fff3e9af72df4b8 | d3aa23e994e323d10390e46e504b4da9a79eab98 | /batdata/vndData/vnd.py | 9804a6b8ed9058ed0bdb37eea340f26a3d3a490f | [
"MIT"
] | permissive | buiquocanh1991/batdata | c02bf92bce1e4852d962289d8b824762dae1ca79 | 772f7d7c1ca340f46ad8f7404099043f422de352 | refs/heads/master | 2020-04-23T14:29:00.900492 | 2019-02-15T11:41:18 | 2019-02-15T11:41:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,906 | py | import datetime as dt
from ..models import CurrDataModel, HistDataModel
from .taskManagement import createTasks, runTasks
from .utils import fieldsConversion, tickersConversion, VndDate
class Vnd:
"""
Wrapper class to handle inputs and present output
"""
def __init__(self, defaultFormat="df"):
... | [
"chulucninh09@gmail.com"
] | chulucninh09@gmail.com |
371146f44c358eebffb2be0331ba40c58ef4a1f1 | 757868e5a8243a26c7babf971aee3a01b770c2d9 | /venv/Scripts/pip-script.py | 4165d313f5d53c920c64b897312fdffff8ee067e | [] | no_license | Aklmenrah/streamlit | fcfc33f718357507633eecf38f73148e362ed9da | b32f7bf6237282e5805566f90114630e46bc0d4f | refs/heads/master | 2022-11-06T21:30:00.920688 | 2020-07-06T14:35:22 | 2020-07-06T14:35:22 | 273,005,573 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 431 | py | #!C:\Users\aklme\PycharmProjects\predict-schema2\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==19.0.3','console_scripts','pip'
__requires__ = 'pip==19.0.3'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$'... | [
"noreply@github.com"
] | Aklmenrah.noreply@github.com |
05597be72fcb1415ea763ef46929da51ad09d779 | 8ad8c7b4a45902893935d3d5240816b9ce0ce4ea | /Mission_to_Mars/scrape_mars.py | f69c2f999624718f2d492c054d592f36d2e8dd82 | [] | no_license | melcardenas28/Web-Scraping-HW---Mission-to-Mars | e4304c8e27fe0c7c899ecec2f4439d2565af60b2 | 885e54b3fc15c5373a3e27521e5de9a6e1f19671 | refs/heads/main | 2023-07-13T20:47:06.309834 | 2021-08-15T22:25:05 | 2021-08-15T22:25:05 | 396,160,485 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,962 | py | from bs4 import BeautifulSoup as soup
from splinter import Browser
import pandas as pd
import datetime as dt
from webdriver_manager.chrome import ChromeDriverManager
executable_path = {'executable_path': ChromeDriverManager().install()}
browser = Browser('chrome', **executable_path, headless=False)
def mars_news(br... | [
"mel.cardenas28@gmail.com"
] | mel.cardenas28@gmail.com |
de0f677968e9f4697dd7adc64171b4ecddd51055 | dbc335168eb6fcfe682d64f0f5ee1cb947443a40 | /scripts/train.py | 24fd129e7dfd0c95fdcaee40fe8698fc93f6f4ff | [
"MIT"
] | permissive | iampawansingh/Active_Learning_in_NLP | 4bbc96925f3ab04525ffd90bc748dc12686e6dcc | 5d1adb3241d3dd8c34fc7aea52b6798beaeb9962 | refs/heads/main | 2023-05-04T03:51:00.339546 | 2021-05-19T07:39:26 | 2021-05-19T07:39:26 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,384 | py | # -*- coding: utf-8 -*-
"""
Created on Fri Apr 2 14:23:30 2021
Script to train simpletransformer model
@author: Abinaya Mahendiran
"""
from pathlib import Path
import numpy as np
import pandas as pd
# Import necessary libraries
import torch
import torch.nn as nn
from simpletransformers.classification import Clas... | [
"abinaya.m02@mphasis.com"
] | abinaya.m02@mphasis.com |
a1bd9482ac29f6bb873cef722bb8e6642378cdfc | 5749de379939a7a39abb6598f323e401a853a781 | /covid_crowd_management/asgi.py | 0f514f9424ce23a678cdc479f6d7e19969c1db50 | [] | no_license | Team-VSUR/COVID-19-Crowd-Management-Website | f109ef50dea1338b653a00f653b79b42a9bcf6e4 | a21b31783ffd59432199c7cd2f20c424004fd385 | refs/heads/master | 2022-07-19T17:52:24.463903 | 2020-05-19T18:59:45 | 2020-05-19T18:59:45 | 263,388,309 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 421 | py | """
ASGI config for covid_crowd_management project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefaul... | [
"59662860+vanshamb2601@users.noreply.github.com"
] | 59662860+vanshamb2601@users.noreply.github.com |
f32bb5d29a90efe2a350355d236f78799ead02cb | 358c55a24b566a84f86e33dce614bff9634769ba | /blog/migrations/0002_auto_20190903_1022.py | ce434bf5ce3b36ab6cd0bc810e98e65c440ae451 | [] | no_license | farruhcool/blog | 384e1731c068c5512271f3e7af62946fb9b16a11 | d6ccd20f3f68c987c5c120475ebc51aabe1b0287 | refs/heads/master | 2023-05-04T22:55:38.924975 | 2019-09-03T05:30:08 | 2019-09-03T05:30:08 | 203,350,678 | 0 | 0 | null | 2023-04-21T20:36:30 | 2019-08-20T10:08:15 | Python | UTF-8 | Python | false | false | 730 | py | # Generated by Django 2.2.4 on 2019-09-03 05:22
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('blog', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Tag',
fields=[
('id', models.... | [
"farruhcool1993@gmail.com"
] | farruhcool1993@gmail.com |
b09867d33bc0a96dd11eeb77d0555f2d7ab5a8b4 | 29aa518b2c07a138ead231296dcd1b25a0b057fa | /venv/Scripts/pip3-script.py | 20f2d462d04d99366d1f63828ebae57b62ebc21c | [] | no_license | anabanslo/heroku-practise | d9f8094621f80581af61356afe124e7fc35f6d57 | 764b8c2df5ae22cad89c35728bc37221b5153bbc | refs/heads/master | 2023-05-10T19:10:45.058420 | 2020-03-25T19:45:02 | 2020-03-25T19:45:02 | 250,073,747 | 0 | 0 | null | 2023-05-02T18:43:24 | 2020-03-25T19:35:54 | Python | UTF-8 | Python | false | false | 421 | py | #!C:\Users\Anaba\PycharmProjects\heroku-practise\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==19.0.3','console_scripts','pip3'
__requires__ = 'pip==19.0.3'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', s... | [
"anabananaslo@hotmail.com"
] | anabananaslo@hotmail.com |
6465dc787a23d16a3e2c1cf22c9dc6de61ba0a90 | ba9485e8ea33acee24dc7bd61049ecfe9f8b8930 | /aoj/itp18b.py | d39fd25df763c61ab9e2475985a6549280301003 | [] | no_license | diohabara/competitive_programming | a0b90a74b0b923a636b9c82c75b690fef11fe8a4 | 1fb493eb44ce03e289d1245bf7d3dc450f513135 | refs/heads/master | 2021-12-11T22:43:40.925262 | 2021-11-06T12:56:49 | 2021-11-06T12:56:49 | 166,757,685 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 140 | py | while (True):
x = input()
ans = 0
for i in range(len(x)):
ans += int(x[i])
if ans == 0:
break
print(ans) | [
"diohabara@gmail.com"
] | diohabara@gmail.com |
13e6b9a157b45b00f46e46154a3f1a5828b0fb3c | a1c34f7cbc3f522213e3b2180ca2ed10b698651e | /operators/api/urls.py | ecd5c3c290bd1a14eb5fdf475a7b5a0551a9b495 | [] | no_license | ulugbek1999/ncd | c9461c1dc8ee2f7ba084ba54f5320d65c44ac335 | d976ee5a77f5ceeaa3fd5e2acf1805667141e0be | refs/heads/master | 2022-08-26T12:06:30.024540 | 2020-03-07T10:33:47 | 2020-03-07T10:33:47 | 202,854,987 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 962 | py | from django.urls import path, include
from operators.api.operator1 import views as op1
from operators.api.operator2 import views as op2
from operators.api.operator3 import views as op3
from operators.api.operator4 import views as op4
operator1_patterns = [
path('employee/create/', op1.EmployeeCreateAPIView.as_vi... | [
"kayrat.nazov@gmail.com"
] | kayrat.nazov@gmail.com |
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