blob_id stringlengths 40 40 | directory_id stringlengths 40 40 | path stringlengths 3 281 | content_id stringlengths 40 40 | detected_licenses listlengths 0 57 | license_type stringclasses 2
values | repo_name stringlengths 6 116 | snapshot_id stringlengths 40 40 | revision_id stringlengths 40 40 | branch_name stringclasses 313
values | visit_date timestamp[us] | revision_date timestamp[us] | committer_date timestamp[us] | github_id int64 18.2k 668M ⌀ | star_events_count int64 0 102k | fork_events_count int64 0 38.2k | gha_license_id stringclasses 17
values | gha_event_created_at timestamp[us] | gha_created_at timestamp[us] | gha_language stringclasses 107
values | src_encoding stringclasses 20
values | language stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
classes | length_bytes int64 4 6.02M | extension stringclasses 78
values | content stringlengths 2 6.02M | authors listlengths 1 1 | author stringlengths 0 175 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c699bc32127b8584ebb9ae1852fe8baa996cea26 | 0f7d186164cafdd90b3e0baae0b5573fead049b4 | /多任务/线程/07-线程共享全局变量.py | 5b263873df2b9925669df27515c6809dbc31f50f | [] | no_license | DominicRen/Python-learning | 603b31ff173cbc0782b3cf3da12d5e0834a74402 | a9e7ded5fc0e2a760cee9887d87700769a3b9b6d | refs/heads/master | 2022-12-03T07:43:01.052201 | 2019-04-05T04:10:42 | 2019-04-05T04:10:42 | 179,615,987 | 1 | 2 | null | 2022-11-28T19:13:32 | 2019-04-05T03:54:26 | HTML | UTF-8 | Python | false | false | 490 | py | import threading
import time
# 定义一个全局变量
g_num = 100
def test1():
global g_num
g_num += 1
print("-----in test1 g_num = %d-----" % g_num)
def test2():
print("-----in test2 g_num = %d-----" % g_num)
def main():
t1 = threading.Thread(target=test1)
t2 = threading.Thread(target=test2)
t1.st... | [
"ren_9510@163.com"
] | ren_9510@163.com |
bf77e59520837cbd065542476fdad5c4d1c0a67f | d3e723fe5eb20b868ed6bc7e3d228eba368f22ef | /feedly/feeds/redis.py | 03755ba7a7ced91466e476809ae1a508fc9d880f | [
"BSD-3-Clause"
] | permissive | intellisense/Feedly | f33fa42a0f41b73e8e728813ed311d06bd8fb668 | 4c5fb74aee56e5ff382417301a4825b151c474b0 | refs/heads/master | 2020-05-29T11:36:24.157740 | 2014-02-24T16:27:33 | 2014-02-24T16:27:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 916 | py | from feedly.feeds.base import BaseFeed
from feedly.storage.redis.activity_storage import RedisActivityStorage
from feedly.storage.redis.timeline_storage import RedisTimelineStorage
from feedly.serializers.activity_serializer import ActivitySerializer
class RedisFeed(BaseFeed):
timeline_storage_class = RedisTimeli... | [
"thierryschellenbach@gmail.com"
] | thierryschellenbach@gmail.com |
1e27272a6df616fd8ab1ea720081875c1a06bca0 | 8b280840def0f170a16ea8e0668799e63759e9fc | /react_django/settings.py | 1998a01b5810359170d4c639a48fdfc9254837c0 | [] | no_license | panu2306/React-Django-REST | 0a40830048903a0be8a5d5661ec36e20f8d02656 | e0e5976e2b81a91661fed674fa7e1d8177e093f6 | refs/heads/master | 2021-04-02T01:44:17.179283 | 2020-03-18T12:55:26 | 2020-03-18T12:55:26 | 248,230,980 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,141 | py | """
Django settings for react_django project.
Generated by 'django-admin startproject' using Django 3.0.3.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.0/ref/settings/
"""
import ... | [
"pranavbhendawade@gmail.com"
] | pranavbhendawade@gmail.com |
7cbfc835d5ee7dd706a39b957c365a77352048c5 | f64069f0dc90aa41947d1deca317aa37ad9c9080 | /CounterCode2015/Campers.py | 1be7dba22916115142a5cf672826cd46dc065798 | [] | no_license | raunaklakhwani/Algorithms | 9fdd7c3f5234b4682690ce3bededa365e75df1e5 | a0b36f4f068c100b17fd27b3ed28816e4f3b4e4f | refs/heads/master | 2021-01-10T19:39:24.120026 | 2015-12-20T14:14:48 | 2015-12-20T14:14:48 | 27,044,549 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 371 | py | # URL : https://www.hackerrank.com/contests/countercode/challenges/campers
from math import ceil
N,K = 8,2
snipers = [2,6]
snipers.sort()
def getBetween(a,b):
#print a,b
n = b-a+1
return int(ceil(n/2.0))
pre = 1
s = 0
for i in snipers:
s += getBetween(pre, i - 2)
#print s
pre = i + 2
... | [
"rlakhwan@cisco.com"
] | rlakhwan@cisco.com |
5931a554ba7c93eb81d54d08cc04c2f9183d8c95 | 9e0136e424c7dfa90fba5672ec3f5dc2de002257 | /13: Using Databases/Exception Handling/migration.py | 207f68001892acb2752ab333f2b3a410ec8ad8eb | [] | no_license | ntkawasaki/complete-python-masterclass | 591a0f936fab0e2df2abcbe447f32adda5b26675 | a5eb6ead483da2fc895d169e5ed8ba1e79c2d061 | refs/heads/master | 2020-03-21T23:35:09.526180 | 2018-06-29T21:07:18 | 2018-06-29T21:07:18 | 139,195,833 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 415 | py | import ducks
flock = ducks.Flock()
donald = ducks.Duck()
daisy = ducks.Duck()
duck_3 = ducks.Duck()
duck_4 = ducks.Duck()
duck_5 = ducks.Duck()
duck_6 = ducks.Duck()
duck_7 = ducks.Duck()
percy = ducks.Penguin()
flock.add_duck(donald)
flock.add_duck(daisy)
flock.add_duck(duck_3)
flock.add_duck(duck_4)
flock.add_duc... | [
"ntkawasaki@gmail.com"
] | ntkawasaki@gmail.com |
d714be42a3d964458378d2bf219800317028de44 | 95255c09d3487c1b102f7c87d98298f98187f0fd | /2021-projects/team-2/preprocessing/shuffler.py | f02a4cde9b74bcc98b12be8059ac11e8b1344e34 | [
"Apache-2.0"
] | permissive | AmericanEnglish/big-data-reu | e9492c3537e34f82662ec34cc3bcd98f60bae781 | bb582821f7a78a57d9bdb1accaa59383f3d09028 | refs/heads/main | 2023-08-15T19:54:51.072317 | 2021-10-13T14:33:25 | 2021-10-13T14:33:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,194 | py | trip = {
"123": 0,
"132":1,
"213":2,
"231":3,
"312":4,
"321":5}
doubles = {
"12 ":6,
"21 ":7}
dtot = {
"124":8,
"214":9,
"134":10,
"314":11,
"234":12,
"324":13}
f = {"444":14}
trip_r = {}
dtot_r = {}
for k in trip.keys():
trip_r[trip[k]] = k
for k in dtot.keys():
dtot_r[dtot[k]] = k
# Infile
from sys import ar... | [
"barajasc@umbc.edu"
] | barajasc@umbc.edu |
385f0d7c40d44dfd57c026bd40470aaa4471c8a1 | 23e7f6c8b69be285f89e02e3517aa4381b8ba785 | /detect_failed_test_in_build.py | 13c6218068d9237b6183fdb9be2c0ba0feb148fa | [] | no_license | scality/test-result-management | 0705df09eeba5e3dde55689a17b484306a3207c2 | 23b0fed1ad9aafca471973b206cfdc31d98d60d8 | refs/heads/main | 2023-07-26T19:00:44.651623 | 2021-08-06T13:11:39 | 2021-08-06T13:11:39 | 381,741,755 | 0 | 0 | null | 2021-08-06T08:54:25 | 2021-06-30T15:06:12 | Python | UTF-8 | Python | false | false | 8,425 | py | from ES_query.visitor.interprete_response import ReadData
from api_manager.ES_manager import ESManager
from ES_query.AST import *
from ES_query.visitor.ast_to_query import CreateDictionnary
def create_aggregation_from(base_aggregation, aggregation_list):
for agg in aggregation_list[::-1]:
base_aggregation... | [
"alievre@laposte.net"
] | alievre@laposte.net |
1617621ce2482392b966b388185db6166724db0b | 010be098dbda518d2f687a1f7ec96ea8b92d6676 | /skiliobackup_13012021/skiliobackup_13012021/skilio.py | 7f9f7b0ed4b29078408a87afcf4ea114c64b0d9d | [] | no_license | chunyikam/python-getting-started | 20afb5b82ee264fc1a925e737656f33b17cd59b1 | fc34769f1bbe4d640aa77894acd4ad4bd5832145 | refs/heads/main | 2023-02-14T13:27:53.161752 | 2021-01-15T17:10:49 | 2021-01-15T17:10:49 | 330,313,095 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 53,673 | py | # -*- coding: utf-8 -*-
"""
Created on Sat Jul 11 23:41:50 2020
this is the main codes for production
@author: chuny
"""
import enchant
import pandas as pd
import nltk
import os
import re
import numpy as np
import datetime
import json
from nltk.corpus import wordnet, words
#from dateutil.parser import parse
from ... | [
"chunyikam@hotmail.com"
] | chunyikam@hotmail.com |
767473019fa471753c9655d05af2834a9282b2e0 | e8d4c03c33e0721a26e56a0c0a1a83cbf4685e4c | /abc118/c_3.py | 865ea3841c709c790ba9de89f5886a7c8da87de4 | [] | no_license | satackey/atcoder | b08dec621dbd98132076b96e0bb3fa093025dfa1 | 1239f107d3b241f71ae8bfe3a52d0d8b2f3847ed | refs/heads/master | 2020-08-28T06:21:20.327249 | 2020-05-31T12:14:46 | 2020-05-31T12:14:46 | 217,619,592 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 560 | py | n = int(input())
a = list(map(int, input().split()))
a = sorted(a)
zero_monster_indexes = []
while True:
for monster_i in range(1, len(a)):
if a[monster_i] == 0:
zero_monster_indexes.append(monster_i)
else:
a[monster_i] %= a[0]
if a[monster_i] == 0:
... | [
"21271711+satackey@users.noreply.github.com"
] | 21271711+satackey@users.noreply.github.com |
2ea33ffcd0cae4ec18e5222c11a9c44aa4035f04 | ea3799fc5a6a7109c1c8089dc43993ce24a3fa2a | /FCN.py | 368956152f8a4125ed2d103dc0e50a1d8d6a8a28 | [] | no_license | gepu0221/FCN | 92edfc4bddd2ace1e10d2236a2f9a4ed672705c8 | df03409d5974cbec60d3d18853149c838d2f091b | refs/heads/master | 2020-03-16T18:14:40.414050 | 2019-03-11T12:40:44 | 2019-03-11T12:40:44 | 132,865,380 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,367 | py | from __future__ import print_function
import tensorflow as tf
import numpy as np
import time
import TensorflowUtils as utils
import read_MITSceneParsingData as scene_parsing
import datetime
import BatchDatsetReader as dataset
from six.moves import xrange
from label_pred import label_visualize,fit_ellipse
FLAGS = tf.fl... | [
"cauc_gp@163.com"
] | cauc_gp@163.com |
a8966330525ca3601a2eb751b17b6bad44bba10d | 1eb8eef3a83ed545984df54f08749887dcb415e8 | /common/states/default.py | 26233274e1826e1ef29316499cc6c11489f9c9d5 | [
"MIT"
] | permissive | sk364/prosfair | e414a2b3efa411205f9a0e4e2d1d1bdae1e782ae | bb16dd19aee9804b0a1b239b00ff99e285d7fd96 | refs/heads/master | 2021-06-03T01:47:07.748799 | 2021-04-04T10:13:27 | 2021-04-04T10:13:27 | 45,759,836 | 0 | 0 | null | 2015-12-15T11:18:59 | 2015-11-07T23:54:26 | Python | UTF-8 | Python | false | false | 1,572 | py | STATE = {
"white": [{
"type": "b",
"position": [7, 2],
}, {
"type": "b",
"position": [7, 5],
}, {
"type": "k",
"position": [7, 4],
}, {
"type": "n",
"position": [7, 1],
}, {
"type": "n",
"position": [7, 6],
}, {
"type": "q",
"position": [7, 3],
}, {
"typ... | [
"skad5455@gmail.com"
] | skad5455@gmail.com |
aa3b12bb2e51e85ab4cd8244e92c90386462942e | 11f77e8b254ea5c0514251228c7b9538a7f0cf19 | /lookup.py | 581c16bcabce28965614df069b4e2f4e682b4c6c | [] | no_license | fiesta0211/korean-cnn-text-classifier | ef9a8e8333900d894c086a21450e31f71f5cd119 | a679518e6ac2ec97a4c8151170930a576a35dc68 | refs/heads/master | 2020-11-29T18:49:37.046905 | 2018-12-17T14:16:31 | 2018-12-17T14:16:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 462 | py | import tensorflow as tf
W = tf.Variable(tf.random_uniform([4, 6], -1.0, 1.0))
x = tf.constant(
[[0, 1, 2], [0, 3, 2]])
embedded_chars = tf.nn.embedding_lookup(W, x)
embedded_chars_expanded = tf.expand_dims(embedded_chars, -1)
sess = tf.Session()
sess.run(tf.global_variables_initializer())
print(sess.run(embedded_... | [
"a4gkyum@naver.com"
] | a4gkyum@naver.com |
c040a11a91612d901166299c6fb7ff05d5c3161c | cfba700693b3fe1590a86f817da94f92457da254 | /170401007_hw_2.py | 708bb4e15fab53f9ad52a6fa723bcecac1458f36 | [] | no_license | ArdaCemBilecan/Programlama-Lab | 79cda580901f5a1da7d97e78e8da647b74fa78d2 | 66f3f15b783308760b30df68c4a2af4f3ec369fd | refs/heads/master | 2021-01-07T11:11:40.719509 | 2020-05-22T18:06:43 | 2020-05-22T18:06:43 | 241,673,681 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 1,873 | py | import sys
outputs=[]
Days=[]
def bubbleSort(list_1):
for i in range(len(list_1)-1):
for j in range(len(list_1)-1):
if list_1[j]>list_1[j+1]:
temp = list_1[j]
list_1[j]=list_1[j+1]
list_1[j+1]=temp
def read_File_And_Separation():
f... | [
"noreply@github.com"
] | noreply@github.com |
a8dd093e465a4f7450799f4fda9aa351634db949 | 7508a50ee82a59bde3b2e443b6ef4813b8738c9e | /stuck1.py | 8292164be61e9e950f0add6dc54bfe43535f2ac4 | [] | no_license | joinalahmed/ttgen | b2c7fc39621768b8d34f0518457de997cc02f233 | c19d30b805ab4718f9b7395cbb7cb19dfb7ed035 | refs/heads/master | 2021-01-10T23:28:14.761892 | 2017-04-30T15:25:31 | 2017-04-30T15:25:31 | 70,583,945 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,375 | py | import sys
import subprocess
from PyQt4 import QtGui, uic
qtCreatorFile = "/home/joy/Desktop/test/stuckat1.ui" # Enter file here.
Ui_MainWindow, QtBaseClass = uic.loadUiType(qtCreatorFile)
class MyApp(QtGui.QMainWindow, Ui_MainWindow):
def __init__(self):
QtGui.QMainWindow.__init__(self)
Ui_Ma... | [
"joinalahmed@gmail.com"
] | joinalahmed@gmail.com |
53d89cc1f1796b277ee380a6a9c9f66fd6838149 | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/139/usersdata/247/61611/submittedfiles/diagonaldominante.py | 4c46b3db468eb5120f665f18eaa6860ff491cb18 | [] | no_license | rafaelperazzo/programacao-web | 95643423a35c44613b0f64bed05bd34780fe2436 | 170dd5440afb9ee68a973f3de13a99aa4c735d79 | refs/heads/master | 2021-01-12T14:06:25.773146 | 2017-12-22T16:05:45 | 2017-12-22T16:05:45 | 69,566,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 117 | py | # -*- coding: utf-8 -*-
i=1
n=int(input('d'))
cont=0
while i<n:
if i%2==1:
cont=cont+i
print(cont)
| [
"rafael.mota@ufca.edu.br"
] | rafael.mota@ufca.edu.br |
9fcfda872969a04db6c4892cc52345f61d0a5a36 | 2ed86a79d0fcd299ad4a01310954c5eddcf01edf | /homeassistant/components/overkiz/climate_entities/atlantic_pass_apc_heating_zone.py | b6835d93ebb01978f226f745fb84a212a4de8ecd | [
"Apache-2.0"
] | permissive | konnected-io/home-assistant | 037f12c87bb79e19220192eb918e49db1b1a8b3e | 2e65b77b2b5c17919939481f327963abdfdc53f0 | refs/heads/dev | 2023-05-11T08:57:41.891518 | 2023-05-07T20:03:37 | 2023-05-07T20:03:37 | 109,931,626 | 24 | 10 | Apache-2.0 | 2023-02-22T06:24:01 | 2017-11-08T05:27:21 | Python | UTF-8 | Python | false | false | 7,956 | py | """Support for Atlantic Pass APC Heating Control."""
from __future__ import annotations
from typing import Any, cast
from pyoverkiz.enums import OverkizCommand, OverkizCommandParam, OverkizState
from homeassistant.components.climate import (
PRESET_AWAY,
PRESET_COMFORT,
PRESET_ECO,
PRESET_HOME,
P... | [
"noreply@github.com"
] | noreply@github.com |
ef0331985cab09f63d6cb638d9717f4a48d79858 | 7240b8cec438c4d1e9ec023599f91a361cd7c97c | /python-scripts/summing_smalls_numbers.py | 1cf2e2497b41742699a2490af8e2dcbe1a24f862 | [] | no_license | isacmoura/deep_learning_udacity | 8499729030d7bfeb1e51225c5528aee41cabd067 | 0ec52b5bfb74afc10c4c998382e48449481d356f | refs/heads/master | 2020-04-04T09:06:40.972366 | 2018-11-02T16:54:47 | 2018-11-02T16:54:47 | 155,807,363 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 186 | py | # Somando pequenos números a um número de 1 bilhão
big = 10 ** 9
for i in range (10 ** 6):
big += 10 ** -6
big -= 10 ** 9
print("{0:.3f}".format(big))
# O resultado não é 1
| [
"contatoisacmoura@outlook.com"
] | contatoisacmoura@outlook.com |
ccf0391edc7b4cf3a0f5c98a4e48021a6c5e0901 | 63745d097fa60ae7b3edf4f5d6a87678c273bbe8 | /kind/master/MstTrainCompanyKind.py | de8d11c546358b49faca4971feab52c31f1b5749 | [] | no_license | ekchuah-aoki/miralServer | 48d7ad42c282ccede4a96f0ba2266617448111a8 | 6942e2c5aa5c3c52cee85359d7f4381689f33c67 | refs/heads/master | 2021-01-21T04:40:38.878158 | 2016-06-07T04:53:35 | 2016-06-07T04:53:35 | 55,469,708 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 535 | py | # coding: UTF-8
from google.appengine.ext import ndb
from kind.BaseKind import BaseKind
class MstTrainCampanyKind(BaseKind):
u"""路線マスタ"""
campanyCd = ndb.IntegerProperty(indexed=True) #路線事業者コード
companyNama = ndb.StringProperty() #路線事業者名コード
company... | [
"y.aoki@192.168.1.54"
] | y.aoki@192.168.1.54 |
dd618eda0c41743443401f194db4990de20d0395 | 882f29fb4e8dde1a80b67de71aadbcc8f5f3cddc | /checkout/webhook_handler.py | 8294e9102ee6425a383bcc534068bd1b68185e66 | [] | no_license | GTretiakov/boutique_django | af14dc1d7ea7dbc98b42c1ca55293e0e6b876304 | a4dce85ee21c9fe1a831e0516d0e642b2502e8d4 | refs/heads/master | 2023-04-14T10:01:42.695558 | 2021-04-29T00:42:13 | 2021-04-29T00:42:13 | 349,506,830 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,003 | py | from django.http import HttpResponse
from django.core.mail import send_mail
from django.template.loader import render_to_string
from django.conf import settings
from .models import Order, OrderLineItem
from products.models import Product
from profiles.models import UserProfile
import json
import time
class StripeWH... | [
"g.tret1990@gmail.com"
] | g.tret1990@gmail.com |
918fead55de0ee535f3693901f65ecbea534c81b | 58ea2e69333d44e073ccbc31077b4268d1dc28f1 | /manage.py | 79cedce0c7fe8649b38b4f69cf54ef7707db1b1e | [] | no_license | beruangsakti/Peweb | 8e2dae370c05d08957a7aade9eda2817838bf553 | e83bf948c8d3aba8b0c6f4340e41cc62ee7953b0 | refs/heads/main | 2023-02-16T14:30:39.227697 | 2021-01-18T17:48:26 | 2021-01-18T17:48:26 | 330,742,867 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 683 | py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
"""Run administrative tasks."""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'maddi.settings')
try:
from django.core.management import execute_from_command_line
ex... | [
"noreply@github.com"
] | noreply@github.com |
5b8904fa1f4944088bfa67fd47c8959d3ab4ffb4 | 9ae6ce54bf9a2a86201961fdbd5e7b0ec913ff56 | /google/ads/googleads/v9/resources/types/bidding_data_exclusion.py | 9fc75f0ae1869a171b9aa89c12199bed820c8544 | [
"Apache-2.0"
] | permissive | GerhardusM/google-ads-python | 73b275a06e5401e6b951a6cd99af98c247e34aa3 | 676ac5fcb5bec0d9b5897f4c950049dac5647555 | refs/heads/master | 2022-07-06T19:05:50.932553 | 2022-06-17T20:41:17 | 2022-06-17T20:41:17 | 207,535,443 | 0 | 0 | Apache-2.0 | 2019-09-10T10:58:55 | 2019-09-10T10:58:55 | null | UTF-8 | Python | false | false | 4,930 | py | # -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | [
"noreply@github.com"
] | noreply@github.com |
241ee1d4fb08eab48847636ac8aa19413cffb686 | 846b11ccf549aba144c1824a24292a4850860ca7 | /2-EstruturaDeDecisao/5.py | ecaf59269d84595e978da0a147427a07e1c37567 | [] | no_license | paulocesarcsdev/ExerciciosPython | 6d1feff293e7efc4cd3fbc62eee0add93f76db99 | 25bfaa6dc5cb294242e478a2b253a8ca5d9c7078 | refs/heads/master | 2023-05-15T00:53:22.151884 | 2021-06-10T03:04:04 | 2021-06-10T03:04:04 | 337,847,875 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 602 | py | '''
Faça um programa para a leitura de duas notas parciais de um aluno. O programa deve calcular a média alcançada por aluno e apresentar:
A mensagem "Aprovado", se a média alcançada for maior ou igual a sete;
A mensagem "Reprovado", se a média for menor do que sete;
A mensagem "Aprovado com Distinção", se ... | [
"paulocesarcs.dev@gmail.com"
] | paulocesarcs.dev@gmail.com |
0c926511d6608be8a6ffadd86323b3b573462578 | 55ed0f382be1003415af11031169af01b8242607 | /main.py | 3ac6bfe484f7b328ebb75757dc83a33e3caa42bc | [] | no_license | DevoidLabs/static-boilerplate | aa541dcb99f7b06b66f1fe941261e7c29b6e5bf0 | 50b3d310e7ecb7f9a2c7be5b7e186e9c3d39ac9f | refs/heads/master | 2020-04-19T01:17:53.556839 | 2019-01-28T01:26:20 | 2019-01-28T01:26:20 | 167,868,371 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 263 | py |
from sanic import Sanic
from sanic.response import text
app = Sanic()
app.static('/pages', './pages')
# Blueprints
from blueprints.home.main import home_module
app.blueprint(home_module)
if __name__ == "__main__":
app.run(host="0.0.0.0", port=5000) | [
"josuedr11@gmail.com"
] | josuedr11@gmail.com |
4d068327d644e12ccaf00e9cc933c0fc2aa829f0 | ac5808a7d70cb457e2585ad369aff013d4eaaed6 | /s2-061.py | d2d5b41b20c620862085678a1f652d3d0de1bcca | [] | no_license | w9w/CVE-2020-17530 | ca73e1d9042a3d4243efb9bba520c1bf06a2bcb0 | 6ca6298e420a2ad974ea164c19703b1400351da4 | refs/heads/main | 2023-01-27T18:22:28.534988 | 2020-12-11T17:21:10 | 2020-12-11T17:21:10 | 320,619,487 | 0 | 0 | null | 2020-12-11T16:00:12 | 2020-12-11T16:00:11 | null | UTF-8 | Python | false | false | 1,142 | py | # 2.0.0 ~ 2.5.25
import requests
import args
parser = argparse.ArgumentParser()
parser.add_argument("-u", "--url", help="url to check", action="append")
args = parser.parse_args()
args.url = str(args.url).replace("['", "")
args.url = str(args.url).replace("']", "")
url = "%s/struts2_showcase_war/hello.action" %args.ur... | [
"noreply@github.com"
] | noreply@github.com |
45d1c23674f5675682b55aca4e6ed974fc6630c2 | 6f1fee4c59fd3548368dc9c54380abaff759678c | /package_a/src/example_project/application_a/dependency_a.py | 0308f4c11f2b91ef71e83b02b2102f17333498d9 | [] | no_license | cerna/python_pdm_example | f5f0e117b1daea84e0fcb34363019d99be0bfb0c | 67c95b92e8a5aeadf5881b81335345d8dbc4802a | refs/heads/master | 2023-04-13T16:00:28.930236 | 2021-04-20T22:49:13 | 2021-04-20T22:52:09 | 359,969,848 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 39 | py | dependency_for_b = "Some dependency 5"
| [
"jakub.fiser@eryaf.com"
] | jakub.fiser@eryaf.com |
d46b43e86a84e08abbee21355406b53589c0d6b4 | 4b7324621542b007c4379efc3e6e3fa28ef61bdf | /insertion_sort.py | 405746d03fd765d5cff8680de4868c41694c4c9d | [] | no_license | dbuscaglia/hackerrank_practice | 9ce6290c74e3115174d732e61f5ec9b53332785f | 3e360225adcac08bec2858d7392ccc6bacf24704 | refs/heads/master | 2021-01-13T02:32:33.638657 | 2015-08-24T20:23:18 | 2015-08-24T20:23:18 | 41,325,199 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 451 | py |
def sort_numbers(s):
count = 0
for i in range(1, len(s)):
val = s[i]
j = i - 1
while (j >= 0) and (s[j] > val):
count += 1
s[j+1] = s[j]
j = j - 1
s[j+1] = val
return count
n = input()
for iterate in range( n ):
x = input()
a = [ ... | [
"daniel@mylively.com"
] | daniel@mylively.com |
8729474e8b2422a1e50214878c35fd5195d111dc | f4434c85e3814b6347f8f8099c081ed4af5678a5 | /sdk/communication/azure-communication-chat/tests/test_chat_thread_client_e2e_async.py | 69f1236074986d93928e4b4bce029ea46665aab2 | [
"MIT",
"LicenseRef-scancode-generic-cla",
"LGPL-2.1-or-later"
] | permissive | yunhaoling/azure-sdk-for-python | 5da12a174a37672ac6ed8e3c1f863cb77010a506 | c4eb0ca1aadb76ad892114230473034830116362 | refs/heads/master | 2022-06-11T01:17:39.636461 | 2020-12-08T17:42:08 | 2020-12-08T17:42:08 | 177,675,796 | 1 | 0 | MIT | 2020-03-31T20:35:17 | 2019-03-25T22:43:40 | Python | UTF-8 | Python | false | false | 10,433 | py | # -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
import pyt... | [
"noreply@github.com"
] | noreply@github.com |
a22a427fb6779742735f03a5727f7fa1e25dee6d | 34c2aaf784356c3445edabbe83acfa7b71b3fa6c | /Batch2/webapp/app.py | 7dcb6947d6953a4f0bd583979bec58f298ae758d | [] | no_license | ccw7/BootUP_maxis_data_science_level_2 | 1d7bf888ecd957d3c79804e33bc7e8e65dce351b | 3cbd01e663021a6858d18054bee7c28ea2e4a5f5 | refs/heads/master | 2023-06-09T15:06:36.495618 | 2021-06-19T03:13:26 | 2021-06-19T03:13:26 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 302 | py | from flask import Flask
app = Flask(__name__)
@app.route("/",methods=['GET','POST'])
def main():
return "Hello from Flask"
@app.route("/predict",methods=['GET','POST'])
def main2():
return "Hello from ML model - telecom churn prediction"
if __name__=="__main__":
app.run(debug=True) | [
"anshuspandey@gmail.com"
] | anshuspandey@gmail.com |
f3704e6ffdfc299ccbe48106a9f84b3607dfd38d | a0b7d64efae7804d82aac288f1ab36a98339c32a | /all_repos/manual.py | d8d1cad94614b5206dd88c6a14ebceb5fabfaa03 | [
"MIT"
] | permissive | asottile/all-repos | a4e71e2deabd4f82af8d8dda43289a22e9d22b28 | 54d272b276e391828b74efad9445f5eafc96c998 | refs/heads/main | 2023-09-01T14:39:35.708565 | 2023-08-29T15:13:51 | 2023-08-29T15:13:51 | 99,260,344 | 481 | 81 | MIT | 2023-09-05T11:38:16 | 2017-08-03T17:51:41 | Python | UTF-8 | Python | false | false | 1,302 | py | from __future__ import annotations
import argparse
from typing import Sequence
from all_repos import autofix_lib
from all_repos.config import Config
def find_repos(_: Config) -> list[str]:
raise AssertionError('--repos is required')
def main(argv: Sequence[str] | None = None) -> int:
parser = argparse.Arg... | [
"asottile@umich.edu"
] | asottile@umich.edu |
4a45b3e33893d6c5227a5305e5e04c43a235d96e | ae250bde55856d7de248fc117dd72a9869f37b8b | /code/dataset/split.py | f07c663196e914bc3e7e13579d0fd4c7d6e0556c | [] | no_license | littlepig2013/HIN-Similarity-Survey | 3a5738c1b4e786a4c500b5de08f59a2b6fa7838a | 9179e636aa5280acb7e85dcfee2165300fed5c86 | refs/heads/master | 2021-11-13T06:58:51.608242 | 2017-11-30T08:51:03 | 2017-11-30T08:51:03 | 111,684,812 | 4 | 4 | null | null | null | null | UTF-8 | Python | false | false | 863 | py | import random
fin = open("users_rate.txt",'r')
data = fin.readlines()
userDict = dict()
for record in data:
[userStr, movieStr, ratingStr] = record.split(' ')
if userStr not in userDict:
userDict[userStr] = [(movieStr, ratingStr)]
else:
userDict[userStr].append([movieStr, ratingStr])
TRAINING_RATE = 0.5
fout1 ... | [
"zhuzichen19960417@gmail.com"
] | zhuzichen19960417@gmail.com |
aab29b9633a7d3decbbc59f57fbd3402c63ef5a3 | 65875c8b063e6b154d396f388a2a59425cce6da0 | /Lista_06/Felipe Victor e Pedro Lucas/Questão_1/produto.py | 2c608053389a2aeee20088f536b4e33561ed25bc | [] | no_license | limapedro2002/PEOO_Python | fbcf3af1003a56e64eac9f95e0fedc8d2e2c923b | a099fd45ac189415a493b0183e900514c602915b | refs/heads/main | 2023-04-27T07:39:37.636631 | 2021-05-10T19:17:15 | 2021-05-10T19:17:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 578 | py | class Produto:
def __init__(self, nome, cod, preço):
self.nome = nome
self.cod = cod
self.preço = preço
self.item = None
class ItemPedido:
def __init__(self):
self.item = None
self.nome = None
self.cod = None
self.preço = None
def adicionar(... | [
"80356903+limapedro2002@users.noreply.github.com"
] | 80356903+limapedro2002@users.noreply.github.com |
f5adb7580c35fab602f541d4ce123c7b11f7f72e | e8486731cced94056574e92f8d7fb11b36d49518 | /zzh/zzh/spiders/spiderbase.py | 5be799e750055e5fdef78b85a08641bea235d740 | [] | no_license | jinuoA/spider_zzh | 3bef91350b0794ef22dc60a261e890b82c08e99b | 3db097b28679b520d2abedac05e544f98b0b89e2 | refs/heads/master | 2022-12-11T10:01:12.685038 | 2019-05-06T03:05:45 | 2019-05-06T03:05:45 | 185,114,452 | 0 | 0 | null | 2022-12-08T01:45:15 | 2019-05-06T03:04:27 | Python | UTF-8 | Python | false | false | 4,952 | py | # coding=utf-8
from scrapy import log, Request
from ..scrapy_redis.spiders import RedisCrawlSpider
import traceback
from selenium import webdriver
import time
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
import json
import copy
import importlib
import hashlib
from HTMLParser import HT... | [
"wangjun@zhengzihui.com"
] | wangjun@zhengzihui.com |
e0077da32f8f0a9b4ddeb55a914be35925f10d0d | 64ec0ce37edfec33e1a7c9f074517c07161dc4b3 | /torch/overrides.py | 049115ebcd779e034d2f864af86cc6a072340b07 | [
"BSD-2-Clause",
"BSD-3-Clause",
"LicenseRef-scancode-generic-cla",
"BSL-1.0",
"Apache-2.0"
] | permissive | Yodai1996/pytorch | 35ffb1c1ba2f77957193e26c6c823daab5270aef | 72274e2a2fd55019ec860e1743dbdc5b0c5a5624 | refs/heads/master | 2023-07-25T01:25:09.684093 | 2021-09-08T07:22:05 | 2021-09-08T07:25:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 83,071 | py | """
Python implementation of ``__torch_function__``
While most of the torch API and handling for ``__torch_function__`` happens
at the C++ level, some of the torch API is written in Python so we need
python-level handling for ``__torch_function__`` overrides as well. The main
developer-facing functionality in this fil... | [
"facebook-github-bot@users.noreply.github.com"
] | facebook-github-bot@users.noreply.github.com |
67f6a2cd184f9c608c5cc151e68f08f81eb3c1b2 | 9c4225a9d7c7c1a8ba452856c3192f572c136491 | /FLAlgorithms/trainmodel/models.py | 5141932c9a31fa37af34e32092d917948119dce6 | [] | no_license | Noploop/FedGen | 58e28b1879550adb2eb84159e30558d3549e8ba1 | 7c6441b95b8e49443e7a4c597bd8982d1e3ee233 | refs/heads/main | 2023-09-03T12:51:31.802025 | 2021-11-11T16:51:01 | 2021-11-11T16:51:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,892 | py | import torch.nn as nn
import torch.nn.functional as F
from utils.model_config import CONFIGS_
import collections
#################################
##### Neural Network model #####
#################################
class Net(nn.Module):
def __init__(self, dataset='mnist', model='cnn'):
super(Net, self).__i... | [
"zhuangdizhu@yahoo.com"
] | zhuangdizhu@yahoo.com |
3ccdf6ed209887f9451c1262c2dd845d9316aa30 | d14651ed2fa6b2f7fb32e224a2cb15c32c75c2b0 | /chapter1/p129.py | 5097608dfdf9c57785c8b4a90387261c04c85dcd | [] | no_license | gabolecointere/algorithms-and-data-structures | 5895405f786e1343581b3ae31436cb7b36ab06a7 | 56c1bc9a9d56c40e163ba69cd04c09b68d6860ee | refs/heads/master | 2020-04-16T22:55:47.705333 | 2019-01-29T05:19:59 | 2019-01-29T05:19:59 | 165,990,443 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,072 | py | # Write a Python program that outputs all possible strings formed by using
#the characters c , a , t , d , o , and g exactly once.
def permutation(str):
lst = list(str)
# If lst is empty then there are no permutations
if len(lst) == 0:
return []
# If there is only one element in lst ... | [
"gabolecointere21gmail.com"
] | gabolecointere21gmail.com |
87060dbac8e6dc69ba2a1fda481d7c8736a91514 | 9a3b88343c740020e676907b87d1f6bfde44cbaa | /DUPMP/Database, User, and Process Management with Python/Section 1/psutil_discspace.py | 2cda48df235ebeb651d238b9eab1b25194f46a63 | [] | no_license | ramksharma1674/pyprojold | 2239f29d06764b53c3f6da89599b3e4560a71190 | 8db6aa2f587c95ffaba9ce3e54975894a702760a | refs/heads/master | 2020-08-17T14:20:27.974040 | 2019-10-17T06:01:43 | 2019-10-17T06:01:43 | 215,677,583 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 195 | py | import psutil
print("disc partitions:")
print(psutil.disk_partitions())
print("disc usage:")
print(psutil.disk_usage('/'))
print("disc io_counter:")
print(psutil.disk_io_counters(perdisk=False))
| [
"ramksharma@yahoo.com"
] | ramksharma@yahoo.com |
f145efce77ef6f63b0b4957d6870284349103a47 | d406cddee2d69dbb6961cfb60a96729c752ca997 | /Classes pt 3/app.py | 12d3e4fb2982ded46510fb43035ac622b942c790 | [] | no_license | MasterCoookie/python_basics | 6f34173501f2d516a81942968d5f80be5d1f0d5c | 1d8f2eea66a4e8bfd12f714adca021af7120ef9b | refs/heads/master | 2020-08-10T20:51:31.136121 | 2019-10-11T11:27:54 | 2019-10-11T11:27:54 | 214,418,379 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 804 | py | class Employee:
def __init__(self, first, last, pay):
self.first = first
self.last = last
self.pay = pay
@property
def fullname(self):
return f'{self.first} {self.last}'
@property
def email(self):
return f'{self.first}.{self.last}@gmail.com'
#setter - a... | [
"jas.kocurek@wp.pl"
] | jas.kocurek@wp.pl |
864eb8aa4218cdc43a380472ef2c3f567f009d1b | b1c2050aab4aeea16e23f0074f3c8989656fd4ce | /UAS/Kivy Sudah Modifikasi/FlappyBird Modifikasi.py | bd32096f86aec2c02243315b0727570931e1dd21 | [
"MIT"
] | permissive | musfirotum/Object-Oriented-Programming | 3fd2ce0e03e270ca8725ec3736268ff864f8d0f3 | 81ebd91066007b70e979665eaa2a131d5d85de7b | refs/heads/master | 2020-04-01T19:40:44.463984 | 2018-12-22T14:13:46 | 2018-12-22T14:13:46 | 153,566,151 | 0 | 0 | null | 2018-10-21T10:01:54 | 2018-10-18T05:03:51 | Python | UTF-8 | Python | false | false | 6,416 | py | import kivy
kivy.require("1.8.0")
from random import randint
import sys
from kivy.properties import NumericProperty, ReferenceListProperty, BooleanProperty, ObjectProperty, ListProperty
from kivy.uix.image import Image
from kivy.vector import Vector
from kivy.app import App
from kivy.clock import Clock
from kivy.conf... | [
"noreply@github.com"
] | noreply@github.com |
1f6b0223ae64b698f778132e92aa7961497b2301 | 2cd0c89e4002871dddd6d0872c8105b92f730a11 | /Publishing/_old/AssetPublish_v01.py | fbfdff88c9d339803ead8ba1e0e6c2f8535a364f | [] | no_license | zethwillie/froggerPipeline | d130d5d13a30aa085061e5af918f59f1c4184517 | 0ab3a5462b8a3e1f36e21c77df88e1039a7b3e4d | refs/heads/master | 2021-04-29T14:40:13.402162 | 2018-03-14T16:03:34 | 2018-03-14T16:03:34 | 121,779,043 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 13,037 | py | import os
from shutil import copy2 as copy2
import fnmatch
import maya.cmds as cmds
import maya.mel as mel
import Utilities.utilityFunctions as uf
reload(uf)
# the fbx presets
preset="X:/Production/Code/Maya/Tools/PipelineTools/Python/Publishing/Cali_Scale_Cm.fbxexportpreset"
def publish_maya_scene(versionUp=True, ... | [
"zethwillie@gmail.com"
] | zethwillie@gmail.com |
41eaf7e6aec7c41d1fd7d58171b45b152b251f0c | e3365bc8fa7da2753c248c2b8a5c5e16aef84d9f | /indices/nncunningli.py | c8167f667286f6af6e6235660cde84e24409626d | [] | no_license | psdh/WhatsintheVector | e8aabacc054a88b4cb25303548980af9a10c12a8 | a24168d068d9c69dc7a0fd13f606c080ae82e2a6 | refs/heads/master | 2021-01-25T10:34:22.651619 | 2015-09-23T11:54:06 | 2015-09-23T11:54:06 | 42,749,205 | 2 | 3 | null | 2015-09-23T11:54:07 | 2015-09-18T22:06:38 | Python | UTF-8 | Python | false | false | 159 | py | ii = [('BailJD2.py', 1), ('CarlTFR.py', 12), ('LyttELD.py', 1), ('WadeJEB.py', 1), ('GodwWLN.py', 1), ('SoutRD.py', 1), ('FitzRNS2.py', 1), ('BowrJMM3.py', 1)] | [
"varunwachaspati@gmail.com"
] | varunwachaspati@gmail.com |
9cf7cec01238c998b248e87e2b9351a252bbf803 | ee8a3bd3504aca8dd90f66681a3debd54bd3b0d3 | /mvurruti/processors/svm/svm2.py | 78385362b15a6ec3b6d33ba9293e2f8f5928cf5f | [] | no_license | scipp-ilcadmin/scipp_processors | 8927994ba8f206323054f5ce2c0f9d8f7d7da780 | 24a183d3b1251d6d37a19f8d7eebcc75a9a858a5 | refs/heads/master | 2020-03-11T16:44:40.106096 | 2019-12-12T08:00:06 | 2019-12-12T08:00:06 | 130,126,202 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,132 | py | import time
import argparse
import ROOT
#list of root files as input
#loop through input files and plot based of the types (S,V,M)
#Start w/ vector true alone.
#plot all true vectors of diff root files in same plot
roots = ["bbsignal.root","bwsignal.root","wbsignal.root","wwsignal.root"]
files=[]
for file_name in ro... | [
"ilcadmin@atlas04.ucsc.edu"
] | ilcadmin@atlas04.ucsc.edu |
f9c851f4e6d1354c8ce6b7dcfb1258a810ae2662 | 20e055f337ca4c3f588388fcd8c1d413c222fc46 | /[OLD] disentanglement/reads_data_simulation.py | 1fc92303f5d64ff35f747cd762d4f01c85e99aee | [] | no_license | giuliospinozzi/reads_data_simulation | 12c3cd52b661cafa13a927f36aea48d41bc8f54e | 5be6244d981fc58a1005ce9ba734f115477eb2a4 | refs/heads/master | 2022-08-25T11:48:12.263664 | 2014-04-04T08:47:44 | 2014-04-04T08:47:44 | 264,126,128 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,079 | py | ###Requested Package(s) Import###
from time import gmtime, strftime
import os #
#################################
###Import Module(s)#####
import dataset_module
########################
### Set-up Paremaeters ###########################################################################################
### Distribut... | [
"brasca.stefano@hsr.it"
] | brasca.stefano@hsr.it |
9d20c5e89f09c22618f69cb4e853bf6709cde740 | f14fa682ba80297bbc37f58a388311826b4ac787 | /.history/tracce/12_gen_2016_20181227102247.py | 2549e43d1c94671a4eefb01bc8b26b06e9dc8df0 | [] | no_license | Arkango/calcolo_numerico | 1b28a311a830f14128a71731717602fe26c839ff | c36e030a0edbcf1df926d558c46131980cd8b705 | refs/heads/master | 2020-03-31T18:13:09.183066 | 2019-01-22T17:55:50 | 2019-01-22T17:55:50 | 152,449,940 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 495 | py | """
input
tol tolleranza
maxIter numero massimo iterate
output
approssimazione di s^1/3
numIter numero di iterate effetuate
"""
def radCubic(s,tol,maxIter):
if s < 1:
print('value inserted not correct')
return False
x0 = s
niter = 0
valoreFisso = 1/3
while x0 > s and niter < maxIt... | [
"asaracino@aryma.it"
] | asaracino@aryma.it |
ec2eb4274f2ab5c547553a43a9e89cf4b30551d7 | ad357cfbec64afb8f4cc4043b212996768f9755c | /api/barriers/serializers/mixins.py | 0bf4ea3db58f439746d9c561c10c87ca5eb2913b | [
"MIT"
] | permissive | uktrade/market-access-api | 6b4680e6455eb5c25480ccd3e3d9445654269f36 | 4da26d1be53843d22411577409d9489010bdda09 | refs/heads/master | 2023-08-30T14:47:10.373148 | 2023-08-29T13:58:08 | 2023-08-29T13:58:08 | 131,856,014 | 2 | 3 | MIT | 2023-09-14T08:04:42 | 2018-05-02T13:38:37 | Python | UTF-8 | Python | false | false | 3,729 | py | from rest_framework import serializers
class LocationFieldMixin(metaclass=serializers.SerializerMetaclass):
# Use metaclass to get the fields registered at the serializer where the mixin is used
# The field will need to be listed on the serializer using this mixin
location = serializers.SerializerMethodFi... | [
"noreply@github.com"
] | noreply@github.com |
62738953f7c275cdaa4763d7f206d6520e01fb56 | 082e6342ca6872420b2960c64cba484f3852351b | /stocktracker/urls.py | 2cf81d9c7f0d98b2ffee32ec3efde485c6fa0a7c | [
"MIT"
] | permissive | reihtw/stocktracker | 54c7c1dc066d73b9b57836d1ac3ea259d8715632 | fd83862ce47dae1615c445a1bed1a39d3a769e80 | refs/heads/master | 2022-11-23T12:25:56.876883 | 2020-07-25T19:17:55 | 2020-07-25T19:17:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,085 | py | """stocktracker URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.0/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-... | [
"rodrigolins@protonmail.com"
] | rodrigolins@protonmail.com |
a7164741d8765f85189f6b65ca4e7eb3f582d20b | baf503ae0a331b3a71d1692b37b6c7ef96f337f8 | /knn_movie.py | 9e8cca0d151728da1947d867282e108c82dd532d | [] | no_license | mitanachien/Netflix-Movie-Rating-Prediction | 3d34ebf46de67348c6f6d8a9ee973e416c9f4aca | 72e6687c5d76f23f7567c2c7004b407c7e8f781a | refs/heads/master | 2023-05-29T01:27:18.040998 | 2021-06-08T03:04:19 | 2021-06-08T03:04:19 | 351,943,923 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,020 | py | # Note: run avg_movie_rating.py first
import pandas as pd
import numpy as np
from sklearn.metrics import confusion_matrix
import time
from scipy import stats
from statistics import mean
from sklearn.metrics import accuracy_score
print("Loading dataframe")
training = pd.read_pickle('training.pkl')
test = pd.read_pickl... | [
"daniellenicolehancock@gmail.com"
] | daniellenicolehancock@gmail.com |
1c9687591a895a84bf4597f263816a8942879e51 | ce76b3ef70b885d7c354b6ddb8447d111548e0f1 | /feel_first_hand/work_different_thing_of_next_company.py | 1f68da0b0954abd51549c98382a5e50aac67ba34 | [] | no_license | JingkaiTang/github-play | 9bdca4115eee94a7b5e4ae9d3d6052514729ff21 | 51b550425a91a97480714fe9bc63cb5112f6f729 | refs/heads/master | 2021-01-20T20:18:21.249162 | 2016-08-19T07:20:12 | 2016-08-19T07:20:12 | 60,834,519 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 262 | py |
#! /usr/bin/env python
def place_or_life(str_arg):
right_point_or_important_work(str_arg)
print('case')
def right_point_or_important_work(str_arg):
print(str_arg)
if __name__ == '__main__':
place_or_life('large_government_and_different_man')
| [
"jingkaitang@gmail.com"
] | jingkaitang@gmail.com |
bded93a7a75b4d88c8572e95d498b5a474c0df35 | 4b43b97f5188cdb910f7db612dccb5f944a3de9b | /NYC_Training.py | cd6eb8b9712501648d83f15a299ba094f3b93fa8 | [] | no_license | kiranikram/NYC-Traffic-Jams-RL | 89de6e0d78feb5f91c123cc4f225ea48fc4bef1a | b9c08646a6662390b3323e6e07f3c67e06906077 | refs/heads/master | 2022-09-03T18:45:08.275515 | 2020-05-26T15:22:29 | 2020-05-26T15:22:29 | 256,841,377 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,657 | py | # ================================== TRAINING ==================================
import time
start_time = time.time()
from IPython.display import clear_output
import random
import pandas as pd
print( 20 * "#" + " Attention resetting Q matrix " + 20 * "#")
Q = np.zeros([env.observation_space.n, env.action_space.n])
pri... | [
"noreply@github.com"
] | noreply@github.com |
d10439b40f3387f1947cdc3cc6db7738ca628790 | 59537ab04a54e0b8a00c5de06f99b755851d4932 | /src/algorithm/data_structures/queue.py | 300cf75b3a31ce421b533c47b8db49baf4f301df | [] | no_license | xqhu2008/Larva | c360af0fb0d4b91e3d12bd7abe6fb3f09e638b9a | cc5850cd8d8e2ed844b39d06998c43356f53a284 | refs/heads/master | 2021-01-13T21:50:30.970956 | 2020-03-07T03:08:44 | 2020-03-07T03:08:44 | 242,505,732 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,097 | py | #!/usr/bin/env python
# -*- encoding:utf-8 -*-
'''
queue.py:
queue data structure implementation used python
'''
import random
class Queue:
def __init__(self):
self._queue = []
def enqueue(self, item):
self._queue.insert(0, item)
def dequeue(self):
return self._queu... | [
"xqhu2008@hotmail.com"
] | xqhu2008@hotmail.com |
0345e3681a7ffcb47a73df6e4b2513cd6b8aba8a | 0c99bbbcd3845a26cb1e0c67f7ae3efbf02ff7bf | /src/app/env_vars.py | 0b8cf91cb00c62baf40ab2c6b91ef73bf603d72b | [
"MIT"
] | permissive | DigitalGeographyLab/hope-aqi-archiver | 20f1774b85ec743fb220a0555765e0d76e742983 | 13a42c0def97d69870ed3a04f11d21e673d9404d | refs/heads/master | 2020-12-13T02:15:08.168600 | 2020-02-13T10:58:42 | 2020-02-13T12:44:15 | 234,285,597 | 0 | 1 | MIT | 2020-02-09T18:28:46 | 2020-01-16T09:40:23 | Python | UTF-8 | Python | false | false | 881 | py | import os
from glob import glob
import csv
import traceback
from app.logger import Logger
def set_env_vars(log: Logger):
try:
found_secrets = False
for var in glob('/run/secrets/*'):
k=var.split('/')[-1]
v=open(var).read().rstrip('\n')
os.environ[k] = v
... | [
"joose.helle@gmail.com"
] | joose.helle@gmail.com |
f5b7ecf5498c79c23d17b6a98ceb9627c189511f | 2612f336d667a087823234daf946f09b40d8ca3d | /python/lib/Lib/site-packages/django/core/management/commands/diffsettings.py | 98b53b405d24da9b10a77e7b0bbc578bc9603626 | [
"Apache-2.0"
] | permissive | tnorbye/intellij-community | df7f181861fc5c551c02c73df3b00b70ab2dd589 | f01cf262fc196bf4dbb99e20cd937dee3705a7b6 | refs/heads/master | 2021-04-06T06:57:57.974599 | 2018-03-13T17:37:00 | 2018-03-13T17:37:00 | 125,079,130 | 2 | 0 | Apache-2.0 | 2018-03-13T16:09:41 | 2018-03-13T16:09:41 | null | UTF-8 | Python | false | false | 1,296 | py | from django.core.management.base import NoArgsCommand
def module_to_dict(module, omittable=lambda k: k.startswith('_')):
"Converts a module namespace to a Python dictionary. Used by get_settings_diff."
return dict([(k, repr(v)) for k, v in module.__dict__.items() if not omittable(k)])
class Command(NoArgsComm... | [
"dmitry.trofimov@jetbrains.com"
] | dmitry.trofimov@jetbrains.com |
028cc16ce14161cfa50a6f6a3ec2903c72b388fc | 0f46f4229c763f6908905d41f2dee7d420bad3d0 | /Slave/slave-douban/douban/spiders/douban.py | 4b45e119a814d2af8ea2ddcfc025c4614b8196af | [] | no_license | csrgxtu/Sauron | c572f20be7eeff1955b77f266f068611a8b0010c | 43a9918342f5dc2582f13a6fc254c67fd43752dd | refs/heads/master | 2021-01-10T13:16:25.129341 | 2015-12-07T06:02:43 | 2015-12-07T06:02:43 | 46,249,450 | 2 | 4 | null | null | null | null | UTF-8 | Python | false | false | 12,553 | py | #!/usr/local/bin/python
#-*- encoding:utf-8 -*-
import json, unirest
from scrapy.spiders import Spider,Rule
from scrapy.selector import Selector
from scrapy.linkextractors import LinkExtractor as sle
from collections import OrderedDict
import logging
from scrapy import signals
from scrapy.xlib.pydispatch import dispa... | [
"tianzhaixing@126.com"
] | tianzhaixing@126.com |
36e13726a5a0ff5d94d8b169c6571a4fc5a99360 | 958bdbddef402203fd8e24e35292b4319c28a581 | /src/base.py | 35fb3507203b15d436472db22bfb025657252f1b | [] | no_license | embatbr/seminario-teoria | 54bced421cd16d04f929a1155f0648aa6c25cf50 | 4bfe4cb9ac012b93ed0bdde78f2eb90dc4141bc6 | refs/heads/master | 2021-01-13T02:14:25.437718 | 2014-12-21T03:28:01 | 2014-12-21T03:28:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,893 | py | """Puts the content of file "shakespeare.txt" in a better format. Creates a base
of relative frequencies of letters (with space) and words.
"""
import re
import string
DATA_DIR = '../data/'
def prebase(filein, fileout):
"""Reads from filein and writes in fileout words composed of letters only.
"""
lin... | [
"embatbr@gmail.com"
] | embatbr@gmail.com |
6003e09f33ea5a2093645f640b28a8485047d075 | 09687167864ad825595875f367b192c6ece25122 | /20210714 Datastructure & Algorithm/트리/Code08-01.py | 0cc727c6f19e948ad73c68ad8988d676fddff2b6 | [] | no_license | DaeGyeongYi/00.Basic_step | 75bc0462333a35bb714dfb00e270c3fc582f907c | babebb92df42453283a5edf0f9792cd79f57e65e | refs/heads/master | 2023-06-19T15:46:13.142725 | 2021-07-16T19:31:28 | 2021-07-16T19:31:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 467 | py | class TreeNode():
def __init__(self):
self.left = None
self.data = None
self.right = None
node1 = TreeNode()
node1.data = '화사'
node2 = TreeNode()
node2.data = '솔라'
node1.left = node2
node3 = TreeNode()
node3.data = '문별'
node1.right = node3
node4 = TreeNode()
node4.data = '휘인'
node2.left... | [
"woo_kyo@naver.com"
] | woo_kyo@naver.com |
4e3212529919c336eaa65fb17c0588a940065f09 | 8e1d25698853dd5bd1fe89327810afaf22aa7306 | /companies/api/urls.py | d073232701aab54911a84cdb672e6d455d5c9203 | [] | no_license | briancaffey/demo | 3351157c7628b58347dd5d3f749429c5159c8616 | 118b022f9a5558c9dacc0681e8c9593c462d36a4 | refs/heads/master | 2020-06-26T23:14:59.745396 | 2017-07-16T20:23:04 | 2017-07-16T20:23:04 | 97,034,442 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 170 | py | from django.conf.urls import url
from .views import (
CompanyListAPIView,
)
urlpatterns = [
url(r'^api/$', CompanyListAPIView.as_view(), name='company_list'),
]
| [
"briancaffey2010@gmail.com"
] | briancaffey2010@gmail.com |
f62e734dc2e57e7a0d33cd5e18fad3c83b0280dc | d7adceef44d575e4ae9042e161b2e5cb672586ba | /rename_PATRIC.py | 77231c7c759f394dfe778493e23cf6c7e4b8561b | [] | no_license | jwestrob/Script_Toybox | 91a726fe7b5572b6d411ea445f0e93fa9b88d76a | e8ed4058925cf9b4504e2284c6814c4e3f49f287 | refs/heads/master | 2023-06-22T10:21:23.307704 | 2023-06-11T13:11:27 | 2023-06-11T13:11:27 | 130,753,727 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 391 | py | import os, sys
from Bio import SeqIO
file_to_rename = sys.argv[1]
extension = file_to_rename.split('.')[-1]
for rec in SeqIO.parse(file_to_rename, 'fasta'):
new_id = '_'.join(rec.description.split('[')[1].split(' |')[0].split()).replace("/", '' ).replace( "(", '').replace(')', '')
break
new_filename = new_id + '.... | [
"jwestrob@biotite.berkeley.edu"
] | jwestrob@biotite.berkeley.edu |
2e2f462c213bf71dcaa5ad4aea836a76b57d648f | d446642c55b19d7e927703002d0d6ed6dccfc45c | /tets1.py | 93ca1cfb9534c0e787953e721bd38f608401ce93 | [] | no_license | vnduc/FB_reg | 7c1dd4bc0cb3b48d970a73a64bb6131bc0354197 | 1321c99d80058c01fe243a1345becfc38927c26d | refs/heads/master | 2022-12-08T10:42:34.153601 | 2020-08-17T13:08:22 | 2020-08-17T13:08:22 | 288,182,569 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 184 | py | from random import sample
list1 = ["1", "2", "3", "4", "5", "6" , "7" , "8" , "9" , "0" ]
tele = []
list_int = sample(list1,8)
list_int_new = "".join(list_int)
print(list_int_new)
| [
"noreply@github.com"
] | noreply@github.com |
5a193de57c62b6a86051cf57edaa3abbbcd154e7 | 8f28f1535250121e353360e0305bab09434d54cf | /printalllinks.py | 7bb78985c2fafc23727f61bd5ec7e93a0332fbf9 | [] | no_license | hdsheena/udacitywork | 9da9d00e089dde3c5e8353f2fea553ce11bcaca2 | 3b910dc518ce00ec8e36a0bbc9fb1a1debf69413 | refs/heads/master | 2021-01-01T16:20:49.738441 | 2015-07-04T19:53:24 | 2015-07-04T19:53:24 | 10,007,293 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 405 | py |
def print_all_links(page):
while True:
url, endpos = get_next_target(page)
if url:
print url
page = page[endpos:] # advance page to next position
else:
break
print print_all_links('this is a <a href="http://udacity.com">link!</a> sdfsafd this is a <a href="http:/... | [
"hdsheena@gmail.com"
] | hdsheena@gmail.com |
a67ef990e808a61cbd88a96d5fd1e42d2ab3f62f | d7be4faa85dfa54686f29cfbde9a69c7d60021ea | /esrally/cluster.py | 78983f03c33bb25ea6a2930f6498f7b24c043c28 | [
"Apache-2.0"
] | permissive | jasontedor/rally | 4135e80923ac7a3dbc5a15d6dbb11a94bffd5460 | 02c47a2654a3bef1695b8de8aaba476e23848b09 | refs/heads/master | 2021-01-19T06:56:20.733774 | 2016-04-19T16:00:20 | 2016-04-19T16:00:20 | 56,621,348 | 0 | 0 | null | 2016-04-19T18:27:12 | 2016-04-19T18:27:11 | null | UTF-8 | Python | false | false | 4,846 | py | import socket
import elasticsearch
import logging
from esrally import exceptions, time
logger = logging.getLogger("rally.cluster")
class Node:
"""
Represents an Elasticsearch cluster node.
"""
def __init__(self, process, host_name, node_name, telemetry):
"""
Creates a new node.
... | [
"daniel.mitterdorfer@elastic.co"
] | daniel.mitterdorfer@elastic.co |
fa810c53f901adee5892cdef3330f1fb4281b7f5 | 5181236d06e04ed8269a4b149714ac382fddf41f | /38.AI Application/Anime-API/app/main/animegan/test.py | 8b297b725d56bbe98a686233fc6c07c0b42a023f | [] | no_license | manhntm3/mle_qa | 9cc6bbd968604315e82c2c9eae2b5f6d82c94ac9 | d473eb31753baaafbcffd2980874d96cb2b5c8ca | refs/heads/master | 2023-08-24T06:16:39.596208 | 2021-10-17T12:18:33 | 2021-10-17T12:18:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,344 | py | import argparse
import torch
import cv2
import numpy as np
import os
from .model import Generator
torch.backends.cudnn.enabled = False
torch.backends.cudnn.benchmark = False
torch.backends.cudnn.deterministic = True
def load_image(image_path, x32=False):
img = cv2.imread(image_path).astype(np.float32)
i... | [
"manhntm3@gmail.com"
] | manhntm3@gmail.com |
f6eb6eb4052624b2fdedf4152463ad46c120afc0 | 8043b3e1f1f890bd8e0d735a21b0a9a9d2550f03 | /Python/Day6/listLab7.py | cfbbb256f2bd242a9991bec91810f57f47b39815 | [] | no_license | so02e/TIL | 5ff904d1833761084e2f1d31b1b4db5e7c5c9322 | 7ad896c849549cb13bd1f7aa154ae8e4bc1d34c8 | refs/heads/master | 2023-04-21T11:40:18.142005 | 2021-05-19T12:04:33 | 2021-05-19T12:04:33 | 325,268,425 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 411 | py | # 이차원 리스트
# 행 단위의 합을 구하여 다음과 같이 출력 : 1행의 합은 X입니다.
a = [
[10,20,30,40,50],
[5,10,15],
[11,22,33,44],
[9,8,7,6,5,4,3,2,13]
]
print("1행의 합은 ", sum(a[0]), "입니다.")
print("2행의 합은 ", sum(a[1]), "입니다.")
print("3행의 합은 ", sum(a[2]), "입니다.")
print("4행의 합은 ", sum(a[3]), "입니다.") | [
"noreply@github.com"
] | noreply@github.com |
93029a256b3dcbea4ca295735dd63fa4aee17f03 | 3e3e47701ed1b5906fbd1c9e46d8d48793584a68 | /Interfaz-DB/Flask/DEMOPROJECT/DEMOAPP/migrations/0003_auto_20210823_2109.py | 2a101f4b1f92344c56adc24602dc1a8a50df651b | [] | no_license | lfruizr/CAP | 75d9198e6bf1b6cc3ee53c1cce6470c3b21f50f0 | e47036cfe5b5a813ab16ea472337f138cc7c42ff | refs/heads/main | 2023-07-17T11:05:43.937972 | 2021-09-04T03:28:53 | 2021-09-04T03:28:53 | 402,948,782 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 969 | py | # Generated by Django 3.2 on 2021-08-24 02:09
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('DEMOAPP', '0002_auto_20210424_0152'),
]
operations = [
migrations.CreateModel(
name='PlacaIngresando',
fields=[
... | [
"71187345+lfruizr@users.noreply.github.com"
] | 71187345+lfruizr@users.noreply.github.com |
a20aca59b371f14e741d53f983bccee156955747 | 0acb619c27c2ff763f4640b04abd9291b571920e | /second_project/second_project/settings.py | 9aa638a14fcc4de27c749b452c245d307e9165f6 | [] | no_license | munish2301/Learning_Django | 98d9955753758cfec21781a965b63cc0754ca244 | 2991ac3e5daf0c8793159349a024ac611920221b | refs/heads/master | 2021-04-03T22:04:22.331928 | 2020-03-19T03:25:42 | 2020-03-19T03:25:42 | 248,400,169 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,715 | py | """
Django settings for second_project project.
Generated by 'django-admin startproject' using Django 3.0.4.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.0/ref/settings/
"""
impor... | [
"munishkumar22595@gmail.com"
] | munishkumar22595@gmail.com |
7217073a863a5529a749f5fad3a9653d1e1a3984 | bb0e8697713865749363dbcb7f41c9ac7a1d4a51 | /combine/pipelines/pipeline.py | d830d1259b8aa4d1457d98254e29def9b91cd3b3 | [] | no_license | garawalid/Combine | 675232d089c47e743ffdb6a4ba4e8b492a2ebcb7 | 38d758edd7284f9d7eb0e98f57605ac102910024 | refs/heads/master | 2020-06-17T02:25:43.764125 | 2019-07-10T12:00:03 | 2019-07-10T12:00:03 | 195,767,587 | 0 | 0 | null | 2019-07-10T12:00:04 | 2019-07-08T08:18:56 | Python | UTF-8 | Python | false | false | 1,017 | py | class Pipeline:
def __init__(self, id, name, data_source, data_destination, responsible, table_name=None):
# Abstract class of Pipeline
self.id = id
self.name = name
self.data_source = data_source
self.data_destination = data_destination
self.responsible = responsibl... | [
"gwalid94@gmail.com"
] | gwalid94@gmail.com |
74639eabdeca23b37b96f8b661648333360382d0 | a99a5ffdf60d8b423c38ddcadb4da2598ca7b5ed | /剑指offer/斐波那契数列.py | c78683001db49cea60156b57ed7bb149548317fd | [] | no_license | seekun/offer-algorithm | e11403062aacd99aae287111f0006122a8eefd41 | 158034ed4e4a878ea90e731e76dede1aa8041a22 | refs/heads/master | 2020-04-25T03:35:51.655914 | 2019-03-06T12:32:07 | 2019-03-06T12:32:07 | 172,482,149 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 839 | py | # -*- coding:utf-8 -*-
# 斐波那契数列
# 从0开始， f（0) = 0 ， f（1）= 1， f（n）= f（n-1） + f（n-2）
# 如果利用递归求解， 会重复计算一些子问题。递归是将一个问题划分为多个子问题求解， 动态规划也是如此， 但是动态规划会把子问题的解缓存起来， 从而避免重复求解子问题
# 考虑到第 i 项只与第 i-1和第i-2项有关， 因此只需要存储前两项的值就能求解第 i 项。
# 由于待求解的 n 小于40， 因此可以将钱40项的结果先计算
class Solution:
def Fibonacci(self, n):
tempArray = [0, 1]... | [
"tmsshikun@gmail.com"
] | tmsshikun@gmail.com |
d1d491f8f79855abed8c338119a1e9b7dc8348b6 | cc1b9cb964683f97705421f2c91f530d7fc8de22 | /blog/admin.py | b3c6b8c5cc709a5b4f9ced4a68f6d4318b0cb4ad | [] | no_license | maddarauci/mysite | 9499f59ae2e8ce2e1822c6f17036c1d18dae64a0 | bd5878a5decca1fe8d05a4d626bb377bd7e11834 | refs/heads/master | 2023-03-05T14:56:21.962300 | 2021-02-09T08:57:08 | 2021-02-09T08:57:08 | 337,303,016 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 604 | py | #blog/admin.py
import django.contrib.admin
from .models import Post
#from django.contrib.auth import admin
from django_summernote.admin import SummernoteModelAdmin
from .models import Post
class PostAdmin(SummernoteModelAdmin):
summernote_fields = ('content',)
'''
class DisplayAdmin(admin.ModelAdmin):
list_di... | [
"maddarauci@users.noreply.github.com"
] | maddarauci@users.noreply.github.com |
a0bd51b2deecbd209d6a935c40b68585a3907dc3 | 78d1aaab865c9fa48220a41153e189ff723b6c54 | /myspider/items.py | 1eeafde40fee05c608b50e78991f561e76036404 | [] | no_license | ChrisLee0211/jobbole_spider | 2c71d7a85948476344ca608757f53c5750c071de | caa3060ad7b2e53e1315ce0ee5f2b1e4efadd4e9 | refs/heads/master | 2020-04-06T16:54:57.736012 | 2018-11-15T02:26:21 | 2018-11-15T02:26:21 | 157,639,148 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,096 | py | # -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/items.html
import scrapy
import re
from scrapy.loader import ItemLoader
from scrapy.loader.processors import MapCompose, Join, TakeFirst
import datetime
class MyspiderItem(scra... | [
"1018596741@qq.com"
] | 1018596741@qq.com |
2f69d581fa5de77c869fffa4cfadbf409f18cf7e | 31704f8810cf13e78863d65337dc7bd57c0d2a2b | /FinalCode.py | 4be4ea20e3eee7ab952fa94f2413ed5f02352495 | [] | no_license | enyeartc/Capstone1-1 | b01d51c3b63e7be724a14443e854ab3580f8cff0 | 58ec99e87f029b6eb1a9b91bca9112a11d434cc3 | refs/heads/master | 2020-04-01T02:53:11.797216 | 2018-10-12T14:22:52 | 2018-10-12T14:22:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,998 | py | import matplotlib.pyplot as plt
import plotly.plotly as py
import plotly.graph_objs as go
import numpy as np
import pandas as pd
import geopandas as gpd
def prev_over_time(save_bool, plot_bool):
'''
Plot prevalence of groups over time
save_bool: 1 == save the plot, 0 == don't save it
plot_bool: 1 == di... | [
"janestout@Janes-MacBook-Air.local"
] | janestout@Janes-MacBook-Air.local |
917995ac73a5bf09f647a885d5c631b5e4545361 | 5f92dd1e312a22c84eb826035b859b5fbffb7f4d | /FoTStreamServer/conceptdriftOld/algorithms/cusum.py | 05f8ff161141730c3fdcd0d7a37383d8942f8561 | [] | no_license | BrennoMello/FoT-Simulation-SDN-ML | a5a967d31c8df99d2f77978efa36eb8ed8d09928 | bfaa7439db3d3b4b2470e342c5fdbe41106ed700 | refs/heads/master | 2023-05-08T10:01:01.099838 | 2021-06-03T02:33:52 | 2021-06-03T02:33:52 | 351,583,489 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,947 | py | """
The Tornado Framework
By Ali Pesaranghader
University of Ottawa, Ontario, Canada
E-mail: apesaran -at- uottawa -dot- ca / alipsgh -at- gmail -dot- com
---
*** The Cumulative Sum (CUSUM) Method Implementation ***
Paper: Page, Ewan S. "Continuous inspection schemes."
Published in: Biometrika 41.1/2 (1954): 10... | [
"None"
] | None |
f5d6dce4c097a2eff49e3a25f83fc8c13ef299ab | c6087972059ce3a4a811f5e2cb3417e06dd0c8d7 | /Chapter 2 - variables and simple data types/Do it yourself/ulubiona_liczba.py | 431d4b72445c3293de489860c392273b9f73bb93 | [] | no_license | sbrylka/learning-python | 6c91ebb2ad8cc06e374296c1220f30dfb5578ad1 | 042cd82b7516be07a52526d8b3aacec09f3418d1 | refs/heads/master | 2021-04-11T06:27:16.332876 | 2020-11-06T17:48:20 | 2020-11-06T17:48:20 | 248,999,688 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 162 | py | #Program opowiadający o mojej ulubionej liczbie
ulubiona_liczba = 4 #oto ona
Komunikat = "Moja ulubiona liczba to"
print(Komunikat + " " + str(ulubiona_liczba))
| [
"sbrylka96@gmail.com"
] | sbrylka96@gmail.com |
4e39c4d74b0c6d03aff4d8ece1697f67389a6d68 | c07eac033b881cd6bddff5449abfe6b14ff4dcf9 | /pymc/examples/lda/DistributedLDA.py | 708a322b353aee8277db11d1aec7875c2cca83df | [
"AFL-3.0",
"LicenseRef-scancode-public-domain",
"BSD-3-Clause"
] | permissive | mertterzihan/pymc | 3ea1c49361da2bd9d201da4d6288d9fc072329bc | 9f45837120b610c470d2500562dda069fe59ac08 | refs/heads/pyspark | 2020-04-08T13:51:06.007822 | 2014-08-22T10:26:41 | 2014-08-22T10:26:41 | 20,168,682 | 23 | 5 | null | 2014-09-16T19:21:02 | 2014-05-25T23:20:01 | FORTRAN | UTF-8 | Python | false | false | 7,124 | py | from numpy.random import randint
total_topics = 10
phi_seeds = randint(1000000, size=total_topics)
def model_function(data, global_param):
'''
This is the function which generates the PyMC model for LDA (naively distributed)
Parameters
----------
data : list of strings
list of lines where each line represents ... | [
"mertterzihan@gmail.com"
] | mertterzihan@gmail.com |
8ed210de7b773b2d858db28b0e98b28b8888fd8a | b2d3bd39b2de8bcc3b0f05f4800c2fabf83d3c6a | /examples/pwr_run/checkpointing/final/predict_error/job66.py | 764442a07ebe3d86ebd0814af1b025e37c398848 | [
"MIT"
] | permissive | boringlee24/keras_old | 3bf7e3ef455dd4262e41248f13c04c071039270e | 1e1176c45c4952ba1b9b9e58e9cc4df027ab111d | refs/heads/master | 2021-11-21T03:03:13.656700 | 2021-11-11T21:57:54 | 2021-11-11T21:57:54 | 198,494,579 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,630 | py | """
#Trains a ResNet on the CIFAR10 dataset.
"""
from __future__ import print_function
import keras
from keras.layers import Dense, Conv2D, BatchNormalization, Activation
from keras.layers import AveragePooling2D, Input, Flatten
from keras.optimizers import Adam
from keras.callbacks import ModelCheckpoint, LearningRa... | [
"baolin.li1994@gmail.com"
] | baolin.li1994@gmail.com |
0a3c8dbe5801337e199918aea0ad1750be687380 | 224459455cda5cc97511c200ee6200038e2d415b | /meshdynamic/meshDynamic-Density.py | 51cda0fd7015ab6166cc279518c001e6dcd14ae9 | [
"MIT"
] | permissive | deepkashiwa20/DeepUrbanEvent | d252a659a875030c300f1ce10127dc3158e0cd97 | 69292578d2a2d5d47ae50f0ea2f3810f5199a1c5 | refs/heads/main | 2023-07-18T09:58:26.442342 | 2021-08-24T02:43:13 | 2021-08-24T02:43:13 | 383,077,914 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 25,307 | py | import csv
import numpy as np
import os
import sys
import time
import jismesh.utils as ju
import pandas as pd
curPath = os.path.abspath(os.path.dirname(__file__))
rootPath = os.path.split(curPath)[0]
sys.path.append(rootPath)
from common.datastructure.Point import Point
from common.datastructure.Mesh import Mesh
# m... | [
"jiangrh@csis.u-tokyo.ac.jp"
] | jiangrh@csis.u-tokyo.ac.jp |
28d69c649d104842a33a3b0faa6f551bdb3b6b1f | 64c90b077af7feed265041c0e94cbeee4be92f01 | /tools~/gen_docs.py | 96f62efb1a882dda15b4f1aafa1de18cfee027cc | [
"Zlib"
] | permissive | Fopoon/Fopoon.ScenesKit | 5713dd7f420a22079fd9ba57b5984836ec7ca35d | acb45bc02ea6f091f7ec36e232a3bc232f528992 | refs/heads/master | 2022-11-26T19:24:40.789089 | 2020-08-10T04:20:51 | 2020-08-10T04:20:51 | 286,259,406 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,089 | py | from json import loads
from pathlib import Path
from typing import Dict
from scriptgen import \
StringBuilder, \
diff_text, \
interpolate_text, \
write_text_file
def get_text(
template: str,
expressions: Dict[str, str],
template_name: str = None
) -> str:
sb = StringBuilder()
# A... | [
"elmernocon@gmail.com"
] | elmernocon@gmail.com |
2714bb62292bff5293f353b4b1affaa9982d21a1 | 9756a40b783cde0e4892d214e83ca13ad5c9355a | /src/core/views.py | 2e6b432f298d8468f6866a5f7278c021f76740e6 | [] | no_license | omisoul/fst_backend | 81fa4462b99a411f31ff9aa655dc398524c3fdff | 922837e4f8e9fdc54fc11f8931732a3f261807a3 | refs/heads/master | 2022-11-17T17:00:11.069062 | 2020-07-14T22:49:56 | 2020-07-14T22:49:56 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 620 | py | from django.shortcuts import render
from django.http import JsonResponse
from rest_framework.views import APIView
from rest_framework.response import Response
from core.models import TestModel
from core.serializers import TestModelSerializer
# Create your views here.
# def test_view(request):
# data = {'first_na... | [
"generalms16@gmail.com"
] | generalms16@gmail.com |
f082c269790521be387563f31f0067dedbab377d | 1041f604a62a021b19ca703e64c6fd05a8d2207e | /task2.py | bfc026fa8fc6e6b1fcb6b6c4b3e719241f5f91a6 | [] | no_license | Ridwan-AI/Cambridge-Pre-Release-Material-2021 | ec7e74557f6f0ad9fc87214cc72624bc0730ec75 | df777506c9e09fb6a8f4ed798f1493d5345566fd | refs/heads/master | 2023-03-30T23:09:08.441199 | 2021-04-12T14:32:52 | 2021-04-12T14:32:52 | 352,997,952 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,751 | py | # Task 2
print ("\nGood morning\n")
#Initialise structure data
passenger_left_departure = (480, 480, 480, 480)
passenger_left_return = (480, 480, 480, 480)
totalmoney_departure = (0, 0, 0, 0)
totalmoney_return = (0, 0, 0, 0)
#Screen display code
print ("Train times and remaining tickets along with price are shown b... | [
"ridwan@rnetworks.cf"
] | ridwan@rnetworks.cf |
027b999a01bbcd37423c696d75684e32e04760d0 | d37138da36ef75a8998c27a0cc0b989284f8616d | /search_CR.py | 22fc3cbdfdfddb2cd2e81ff8a6c1db121506b667 | [] | no_license | thomasyp/project | d5e52bb75a6e7cc35bbfa0069fa97e290d9c98ec | 754a9c74a84176be3ab31c06bf5261c87a6b4c38 | refs/heads/master | 2021-12-26T04:12:44.793079 | 2021-09-09T02:36:43 | 2021-09-09T02:36:43 | 135,041,022 | 2 | 1 | null | 2021-09-09T02:36:44 | 2018-05-27T11:42:01 | Python | UTF-8 | Python | false | false | 20,858 | py | #!/home/yangpu/bin/anaconda3/bin/python
# -*- coding: utf-8 -*-
from compoundcalculator.compound_density import Nuclide, Element, Compound, Material
from tool.handle_mcnpinp import McnpinpHandler
from tool.mcnp_reader import McnpTallyReader
import argparse
import os
import re
import numpy as np
from pathlib import Path... | [
"yangpu@sinap.ac.cn"
] | yangpu@sinap.ac.cn |
a06633e06927cb52c9f5e436e32aa8d187f9f385 | 1e7a40f7a40384680f6a2f30e24274743dbb872c | /PenBlog/wsgi.py | 72e9bda83aff84c9fc40b335bb5ed216e92050aa | [
"Apache-2.0"
] | permissive | quanix/PenBlog | 3a48dcfece7b8a9fa1bcb33109204d870372ca64 | 6d017b847115bba595215d6cfc9a1ca9f84807bb | refs/heads/master | 2021-01-10T19:05:17.815773 | 2015-08-28T09:21:53 | 2015-08-28T09:21:53 | 27,486,776 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 385 | py | """
WSGI config for djj project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.6/howto/deployment/wsgi/
"""
import os
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "PenBlog.settings")
from django.core.wsgi ... | [
"quanix@163.com"
] | quanix@163.com |
e4d3058c5df4339858f132c3c4b40205b9024103 | 0967654b942c4a0d8f33fb8a1c5753de7da53166 | /rcnn.py | c50abe1912b726d7fd032676d5f217dea75d087e | [
"MIT"
] | permissive | nithinrajendran/text_classification_models_tf_master | a255857d6dcb683d19874471e5f2546fb30d4881 | 64bfa21c0f034f4187ff89eeed5e72a1b1ddbf23 | refs/heads/master | 2022-11-11T19:00:17.404961 | 2018-10-03T17:02:18 | 2018-10-03T17:02:18 | 151,448,195 | 0 | 1 | MIT | 2022-11-04T03:21:17 | 2018-10-03T16:55:56 | Python | UTF-8 | Python | false | false | 2,559 | py | import tensorflow as tf
from tensorflow.contrib import rnn
class RCNN(object):
def __init__(self, vocabulary_size, document_max_len, num_class):
self.embedding_size = 256
self.rnn_num_hidden = 256
self.fc_num_hidden = 256
self.learning_rate = 1e-3
self.x = tf.placeholder(t... | [
"noreply@github.com"
] | noreply@github.com |
037b4a377cefa4f9c913c9b919835caeb0f89ad1 | 65f378ce824afb65ff44a9e7634eb5e403a15250 | /discussions/01-python_basics/tests/q32.py | 758113e39d3b23c219799996407eb3ed034b979d | [] | no_license | ucsd-ets/dsc10-2021-sp-public | c067f00a853f12510ac3a897a40296e00b8db247 | d4af09fedd51f988de8136173ba40dc0d0e19c2d | refs/heads/master | 2023-05-25T04:54:36.076251 | 2021-06-06T23:25:31 | 2021-06-06T23:25:31 | 351,519,451 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 235 | py | test = { 'name': 'q32',
'points': 1,
'suites': [{'cases': [{'code': '>>> county_most_fires == "Los Angeles County"\nTrue', 'hidden': False, 'locked': False}], 'scored': True, 'setup': '', 'teardown': '', 'type': 'doctest'}]}
| [
"nixrunner@localhost"
] | nixrunner@localhost |
d21b4c860e1218b31a532415e92120f84ca61277 | 490fec3ee09b4699ba05ea8d152cb4089f0a1760 | /old_versions/mkcov_ASD.py | 422a8b31ad6a3f2734e0865e6c14b69476f46e71 | [] | no_license | fdamani/GP_fourier | 54971b90ed4a8bde654c68ae201b88fc5b2f9141 | c717c05a872837077a9403a275b6afbd7fcc99fe | refs/heads/master | 2021-08-30T07:17:14.335185 | 2017-12-16T17:04:56 | 2017-12-16T17:04:56 | 114,474,827 | 0 | 0 | null | 2017-12-16T16:30:42 | 2017-12-16T16:30:41 | null | UTF-8 | Python | false | false | 716 | py | def RadialBF(len,rho,nx)
# % Generate ASD covariance matrix, also known as RBF or squared-exponential kernel
# %
# % C = mkCov_ASD(len,rho,nx)
# %
# % Covariance matrix parametrized as:
# % C_ij = rho*exp(((i-j)^2/(2*len^2))
# %
# % INPUTS:
# % len - length scale of ASD kernel (determines smoothness)
# % rho -... | [
"stephenlkeeley@gmail.com"
] | stephenlkeeley@gmail.com |
74049eafb1a70e3e93a8436117e0d7acd79dc95c | bfe96cf3185f59169a6a15d121094ee7f8eb707d | /deep_learning_with_tensorFlow/Chapter05/p12401.py | 5af66fad2c0e1ccd89fc611c070f902a09a4dc9b | [
"Apache-2.0"
] | permissive | pearpai/TensorFlow-action | ca45c22064fbad5f47957f179940b837de712efc | 264099d933988532ed59eaf0f2ad495d40ede4d2 | refs/heads/master | 2021-01-19T10:35:03.211566 | 2017-04-24T09:59:05 | 2017-04-24T09:59:05 | 87,879,220 | 3 | 4 | null | null | null | null | UTF-8 | Python | false | false | 658 | py | import tensorflow as tf
# 可以读取checkpoint文件中保存的所有变量
reader = tf.train.NewCheckpointReader("Saved_model/model.ckpt")
# 获取所有变量列表。 这个是一个冲变量名到变量维度的字典
all_variables = reader.get_variable_to_shape_map()
for variable_name in all_variables:
# variable_name为变量名称，all_variables[variable_name]为变量维度
print(variable_name, a... | [
"469901870@qq.com"
] | 469901870@qq.com |
76583011a04470b4007449f2c51fbef24a96c354 | 3636c0aacdb00d61c88fda35c8c5df4bb9ad2b61 | /Server/server.py | 4238456366c08a1276f25a55225123f040587fec | [] | no_license | Arunkumar1999/Web_tech_project | 1c6a376f0bbee672b36e696f47354418f52c56de | a44dcd1fd2769cafbb57db2d388fb869f6058b0e | refs/heads/master | 2021-05-23T18:41:46.060799 | 2020-06-15T17:13:56 | 2020-06-15T17:13:56 | 253,420,930 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,897 | py | # import sqlite3
from flask import Flask, render_template,jsonify,request,abort,Response
import requests
import json
from flask_cors import CORS
import draw_graph
import base64
import mysql.connector
from mysql.connector import Error
import change
connection = mysql.connector.connect(host='localhost',
... | [
"48383390+Arunkumar1999@users.noreply.github.com"
] | 48383390+Arunkumar1999@users.noreply.github.com |
5124b6b8ae0f31df7809797678631fdaaf6b2c24 | fd326562890d4f1987c384fc7c60374938231222 | /PythonAdvanced/PongGame/game.py | 3e9796356f4d3b20fa9b545010373e402f2496ff | [] | no_license | miro-lp/SoftUni | cc3b0ff742218c9ceaf93f05c319ccfeed5bc8a4 | 283d9328537919de49f7f6a301e58593bae9ca2a | refs/heads/main | 2023-08-23T21:22:07.856226 | 2021-08-25T15:10:18 | 2021-08-25T15:10:18 | 318,134,101 | 2 | 1 | null | 2021-08-10T12:51:54 | 2020-12-03T09:03:08 | Python | UTF-8 | Python | false | false | 2,113 | py | class Game:
def __init__(self):
self.width = 800
self.high = 400
self.__ball_pos = (0, 0)
self.__ball_delta_x = 1
self.__ball_delta_y = 1
self.paddle_a_pos = (-self.width / 2 + 50, 0)
self.paddle_b_pos = (self.width / 2 - 50, 0)
self.paddle_height = s... | [
"miro_lp@abv.bg"
] | miro_lp@abv.bg |
123139ec57df29955a3b09425f13ccfa128f0ad3 | 01c8cec807463271af03c527eb5869eec3b5cbc8 | /0x0A-python-inheritance/4-inherits_from.py | 0dc2d56b5e59e818704855712f550cb26ff6882c | [] | no_license | Deinstein37/holbertonschool-higher_level_programming | 2b2b26f419eb1a010294b71b41d73d64b67e6f05 | 665e6c546cec3081730417feba5a263b3f68d01b | refs/heads/master | 2023-03-17T09:14:31.438191 | 2018-01-14T23:03:37 | 2018-01-14T23:03:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 297 | py | #!/usr/bin/python3
''' module: 4-inherits_from
'''
def inherits_from(obj, a_class):
'''function inherits_from
obj: an object
a_class: a class
returns True if type of obj inherits from a_class, but is not class
'''
return type(obj) != a_class and isinstance(obj, a_class)
| [
"lmadeo76@gmail.com"
] | lmadeo76@gmail.com |
1d63518936cb6c7dd07da624adee9a388b513d68 | 53fab060fa262e5d5026e0807d93c75fb81e67b9 | /backup/user_086/ch2_2019_08_12_14_38_49_563421.py | b972fa739df8d6f21034c9041e0194bba7ac4e1c | [] | no_license | gabriellaec/desoft-analise-exercicios | b77c6999424c5ce7e44086a12589a0ad43d6adca | 01940ab0897aa6005764fc220b900e4d6161d36b | refs/heads/main | 2023-01-31T17:19:42.050628 | 2020-12-16T05:21:31 | 2020-12-16T05:21:31 | 306,735,108 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 84 | py |
def calcula_velocidade_media = (d,t)
return (d/t)
print(calcula_velocidade_media) | [
"you@example.com"
] | you@example.com |
299979bbe9b2eb8b65b2921f4bd2f9e42a541143 | a66f75ac69e3494099886b14aa8c2abad11be89c | /partition_for_transaction.py | e999312058657c109630b1521a90f401ca395b3e | [
"MIT"
] | permissive | ryokugyu/1M_Generalization | fb54b30d5a870f8d8a8c81e96d260cc66aa4f781 | 679ca565e7390af2f2b2d7d85400b339a32a782d | refs/heads/master | 2020-09-29T18:55:56.529124 | 2016-11-18T07:16:05 | 2016-11-18T07:16:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,522 | py | """
main module of partition
"""
#!/usr/bin/env python
# coding=utf-8
import pdb
from models.bucket import Bucket
from itertools import combinations
from utils.utility import list_to_str
_DEBUG = False
PARENT_LIST = {}
ATT_TREES = {}
LEAF_NUM = 0
ELEMENT_NUM = 0
RESULT = []
DATA = []
# compare fuction for sort tre... | [
"qiyuangong@gmail.com"
] | qiyuangong@gmail.com |
93a81014fd2d0ff040a7d8cfc18746e5819cf227 | f2bc287bdb21e80c16f7cd477c5068808b0e8a6e | /howdy/views.py | 994fcc86eb065db2546901158621d2b282869a64 | [] | no_license | michaelwoon/blog-post-site | c2f82233679f72859be9756c7da723c86a44d5c4 | 5e7538fc2b7a431f07c52bc3677d6a9100b1b7c8 | refs/heads/master | 2020-03-30T08:44:47.499904 | 2018-10-05T01:06:22 | 2018-10-05T01:06:22 | 151,036,294 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 814 | py | from django.shortcuts import render
# Create your views here.
from django.views.generic import TemplateView
from .models import Post
from django.http import HttpResponse
from django.views.generic import DetailView
from django.views.generic import ListView
# Create your views here.
class HomePageView(Templat... | [
"michael_woon17@yahoo.com"
] | michael_woon17@yahoo.com |
cc7b73d9f854a55e82733530243f061b1a953b83 | 4bd555bc662b8182a2e7644976bfdb00ed5e1ebe | /PythonistaAppTemplate/PythonistaKit.framework/pylib/wave.py | 28156a0cddf1d07e96068e0ef3c724e3e4e903a9 | [] | no_license | fhelmli/homeNOWG2 | a103df1ef97194dec9501dbda87ec1f7c111fb4a | e794fd87b296544542fd9dc7ac94c981c6312419 | refs/heads/master | 2020-04-04T13:40:20.417769 | 2019-01-30T21:41:04 | 2019-01-30T21:41:04 | 155,970,686 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 22,852 | py | #\input texinfo
#\input texinfo
#\input texinfo
#\input texinfo
#\input texinfo
#\input texinfo
#\input texinfo
#\input texinfo
#\input texinfo
#\input texinfo
#\input texinfo
#\input texinfo
#\input texinfo
#\input texinfo
#\input texinfo
#\input texinfo
#\input texinfo
#\input texinfo
#\input texinfo
#\input texinfo
... | [
"tberk@gmx.at"
] | tberk@gmx.at |
94dcf60cb414f3bbaf1ec9c048cb9ef470d5f0c7 | caca669828d6d2cd4819b2411e3487c74c4dde3f | /NaDesigner_2021_v.08-07/build/testuserdir/config/nbPython/debug/nbpythondebug/jpydaemon.py.bak | a5ea6b6c54d5c777a378e4f985973779ae38e35a | [] | no_license | Hitbee-dev/NaDesigner | 475552126b92c8c12ca9f0af8bf742a5f61b433c | fd6c1fc6c903168d4e42f8adf8d55b7c24c2eb69 | refs/heads/master | 2023-08-13T20:01:54.263905 | 2021-10-05T14:30:12 | 2021-10-05T14:30:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 61,673 | bak | #! /usr/bin/env python
"""
* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS HEADER.
*
* Copyright 2010 Oracle and/or its affiliates. All rights reserved.
*
* Oracle and Java are registered trademarks of Oracle and/or its affiliates.
* Other names may be trademarks of their respective owners.
*
* The contents of this ... | [
"jhjeong.esw@gmail.com"
] | jhjeong.esw@gmail.com |
1aebfecfb7c535dfb772e03f670341e3dd8d9f6f | d9af6a6cba2fb35083f8144af047b0851b1ccab3 | /scripts/combine_sets.py | a5cb44c50a055204aaaef50fcc17aa5da26226a1 | [] | no_license | sunnyxxchen/tuhh-gate-resnet | ebc7c4009fc0fe3ffde14515adf15c5f5799f182 | d1bddeda865e7ff81260a6037b3ead1c42e83b25 | refs/heads/master | 2020-06-29T23:31:27.339348 | 2019-08-05T14:31:42 | 2019-08-05T14:31:42 | 200,654,668 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 810 | py | from shutil import copyfile
import numpy as np
#paths = ['orig/', 'far/', 'farther/', 'nearest/']
paths = ['combined/', 'combined/noised/']
save_path = '/home/hippoc/bin/beauvoir/data/thin_distract_plus/dataset/'
#nums = [48000, 6400, 8000, 8000]
nums = [70400, 70400]
comb_labels = open(save_path+"labels.txt", "w")
... | [
"nils.timmermann@tuhh.de"
] | nils.timmermann@tuhh.de |
c6661a7e9616eed67978d13d3c3dd95ef4e35baf | 7b1cb400a7c7231500e61abdf19ec3174d03fa3b | /week2/toposort/toposort.py | c3f6803611c009bceeb32c2c22a96dd48b275942 | [] | no_license | limberc/Algo_Graphs | f5cd9611fee891fd3d5e67d154e608a0d9bde11a | 3419752091a406ca3e81015453b6699d07b41b2d | refs/heads/master | 2021-09-06T17:48:02.193657 | 2018-02-09T08:45:38 | 2018-02-09T08:45:38 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 845 | py | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# Copyright (c) 2017 - Limber Cheng <cheng@limberence.com>
# @Author : Limber Cheng
# @File : toposort.py
# @Software: PyCharm
import sys
postorder=[]
visited = []
def explore(v):
visited.append(v)
for w in adj[v]:
if not w in visited:
explore(w... | [
"chengzehua@outlook.com"
] | chengzehua@outlook.com |
7c57d6860abff8a5484f84fb659be9b27b7e8034 | adf3ca8f0ce8b3333d70c83118932d0e46d90182 | /examples/query_condition_sparse.py | bfcfbf6fad2eda34dca7cf95093452e45ca1d9e9 | [
"MIT"
] | permissive | TileDB-Inc/TileDB-Py | 77ccce93e1607ce4280d57d2f715cf490aa9f0d3 | 223ee9939e23ecb618bd98d89dc9e874ebd47a2d | refs/heads/dev | 2023-08-28T14:13:52.112262 | 2023-08-25T20:03:54 | 2023-08-26T01:19:46 | 91,851,641 | 167 | 35 | MIT | 2023-09-14T19:07:10 | 2017-05-19T23:06:53 | Python | UTF-8 | Python | false | false | 3,311 | py | # query_condition_sparse.py
#
# LICENSE
#
# The MIT License
#
# Copyright (c) 2021 TileDB, Inc.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limita... | [
"noreply@github.com"
] | noreply@github.com |
d1efe9d67f223730bef933381d68ee21792604ce | 52e64b9bd500a594be966c77017e3bbeea13eaea | /run_classification_items_baseline.py | 665c2fd7c6d1e9b672ce79f63fdf2c9e29957249 | [] | no_license | ShabdizGUni/MasterThesis | 722715f603bd3bf0b1d145d8e64fa6ee1ba93267 | a809828f6df84bcf4d66c408bef725716190aed9 | refs/heads/master | 2021-09-15T08:05:03.135373 | 2018-05-28T22:34:16 | 2018-05-28T22:34:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,798 | py | from data.constants import PATCHES
import Lib.Classification.DataHandling as dh
import Lib.Classification.Classifiers_items as cl
import Lib.Classification.common as common
import sys
print("Items Base started!")
limit = int(sys.argv[1])
# Ashe, Ezreal, Caitlyn, Varus, Jhin
champions = [22, 51, 81, 110, 202]
tiers =... | [
"s_ghas02@uni-muenster.de"
] | s_ghas02@uni-muenster.de |
c54d7cda8a3aed953a639a4c8a739c6ecaa5a602 | 9ddb3f463f1efcc4b6b25beee2dfcf1804b379cf | /accounts/migrations/0001_initial.py | b3c17d1a76035ffcbad397ac8a929b2ea305ba24 | [
"BSD-3-Clause"
] | permissive | risha700/django-accounts | 798173d3bc1b574bee06ba0dbe0f4aa8304a7d05 | 161fe35fe55c94c33812bbf3c1da7beb59a96524 | refs/heads/master | 2023-08-04T08:01:03.471029 | 2021-09-21T09:36:10 | 2021-09-21T09:36:10 | 317,861,119 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,619 | py | # Generated by Django 3.1.4 on 2020-12-01 19:17
import accounts.utils
from django.conf import settings
import django.contrib.auth.models
import django.contrib.auth.validators
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
import phonenumber_field.modelfields
cl... | [
"ahbox@outlook.com"
] | ahbox@outlook.com |
d717179f481b649b48ed81755b643fe987d9aa26 | 68b32fde030b026e42be4a8ff8c9ea015f76d3a7 | /sitepr/worldcup/migrations/0001_initial.py | 3f2b0a90568eaee06559e8be121c5b4358860f16 | [] | no_license | ndarriulat/worldcupapp | 3b934492f0d68b1631eacb289cd750fbe35fabc0 | 2735d818e20c031c959c190b227529e3b1487b19 | refs/heads/master | 2020-03-15T04:40:22.527315 | 2018-05-14T00:21:23 | 2018-05-14T00:21:23 | 131,971,048 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,367 | py | # Generated by Django 2.0.4 on 2018-05-03 13:58
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Player',
fields=[
... | [
"nicolasd92@gmail.com"
] | nicolasd92@gmail.com |
730b0a1040f8e4f50725192f208820e686e100fc | 8af0ba5202aa891a2c325158c4c6d44a7a538ec5 | /migrations/versions/a66cf42e2dfa_initial_migration.py | 77992b0486e740fc8e74d2671c4ef08b25a55370 | [
"MIT"
] | permissive | Queen-Uwitonze/Pitch-web-app | 50695a39a84875239849c1dc172bd7e65f2bdca6 | 5a76fa271019ce8a0a718d372fb61c192befc406 | refs/heads/master | 2020-04-25T15:03:52.797482 | 2019-03-07T13:59:37 | 2019-03-07T13:59:37 | 172,865,147 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 965 | py | """Initial Migration
Revision ID: a66cf42e2dfa
Revises: 4848c5a32802
Create Date: 2019-02-27 13:33:22.130949
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'a66cf42e2dfa'
down_revision = '4848c5a32802'
branch_labels = None
depends_on = None
def upgrade():
... | [
"uwitonzeq@gmail.com"
] | uwitonzeq@gmail.com |
e190f872d162e5db26094b8a89a2d964a28c88ac | 05ee54ae8fe5f12e5af1e297331d5e15aa7c789d | /Utils/FilesUtils.py | 4593fcef1ddcc74d84d3b0f8f645a90cccb817ca | [
"MIT"
] | permissive | spanoselias/RealTimeReplicationTool | 1b205fb53211596f58362da7e301ddde28861f44 | 8fdc968e4fdf82992b704e1c7422f3a5591798eb | refs/heads/master | 2020-04-07T05:50:29.036666 | 2019-02-11T21:10:13 | 2019-02-11T21:10:13 | 158,112,615 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 766 | py | import shutil
import json
def zipFiles(sourcePath, destPath, currentTimestap):
finalSourcePath = str(sourcePath) + '_' + str(currentTimestap).replace(':', '_')
shutil.make_archive(finalSourcePath, 'zip', str(destPath))
return
def unzipFiles(sourcePath, destPath):
shutil.unpack_archive(str(sourcePat... | [
"spanoselias@outlook.com"
] | spanoselias@outlook.com |
3ebabab1cc0ec29075386911102d4c4d892eed04 | 16ba38ef11b82e93d3b581bbff2c21e099e014c4 | /haohaninfo/即時範例/61.py | 6e90415a943dd91a9a3bc4319e97582c7b9dabb8 | [] | no_license | penguinwang96825/Auto-Trading | cb7a5addfec71f611bdd82534b90e5219d0602dd | a031a921dbc036681c5054f2c035f94499b95d2e | refs/heads/master | 2022-12-24T21:25:34.835436 | 2020-09-22T09:59:56 | 2020-09-22T09:59:56 | 292,052,986 | 2 | 5 | null | null | null | null | UTF-8 | Python | false | false | 657 | py | # -*- coding: UTF-8 -*-
#取得報價資訊，詳情請查看技巧51
execfile('function.py')
#取得上下五檔價量資訊
for i in getUpDn5():
UpDn5Info=i.split(',')
UpDn5Time=UpDn5Info[0]
totalUpPrice=0
totalUpQty=0
totalDnPrice=0
totalDnQty=0
#開始進行上下五檔加權平均值
for j in range(0,5):
totalDnPrice+=int(UpDn5Info[1+2*j])*int(UpDn5Info[2... | [
"penguinwang@smail.nchu.edu.tw"
] | penguinwang@smail.nchu.edu.tw |
85cee0f893635d531b95b5d312f8e209a6f535dc | fefb1e9b0b736da4e49d7754f8d1dbaf37f2fa6a | /.history/7_3_2_20210208211227.py | 2021ca036ff147a699a385552cc614517dc2ef19 | [] | no_license | wh-debug/python | 5a78a2227874ebc400d075197de0adab9f55d187 | 1467eeda670f170e6e2d7c0a0550f713f1ee9d75 | refs/heads/master | 2023-03-12T22:08:12.608882 | 2021-02-17T09:49:52 | 2021-02-17T09:49:52 | 334,032,494 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,191 | py | '''
Author: your name
Date: 2021-02-08 21:11:05
LastEditTime: 2021-02-08 21:12:27
LastEditors: Please set LastEditors
Description: In User Settings Edit
FilePath: \python\7_3_2.py
'''
'''
_oo0oo_
o8888888o
88" . "88
(| -_- |)
... | [
"1813763848@qq.com"
] | 1813763848@qq.com |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.