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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
32dd6e795e4e8c7656c208ec826cb9d894bcef01 | ad03fdcabdd4ab333bdfd12f6c41c3d13353df63 | /newsfeed/migrations/0004_configuration_total_votes.py | 718f3e7e358c74413b36cbe896ab0ef1c9aee695 | [] | no_license | ReEnTrust/mediationtool | 109aefa8354af07568d4b5ab6251c88eab27f925 | 77207ed30c054456e904d1a1ecd3d81baf718b36 | refs/heads/main | 2023-04-19T10:08:50.629107 | 2021-03-14T15:10:19 | 2021-03-14T15:10:19 | 364,901,767 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 396 | py | # Generated by Django 3.0.4 on 2021-01-08 14:43
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('newsfeed', '0003_auto_20210108_1426'),
]
operations = [
migrations.AddField(
model_name='configuration',
name='total... | [
"blegaste@ed.ac.uk"
] | blegaste@ed.ac.uk |
b86f82fa64afbad4e2ec93ee5e6511bee3b549c7 | 8819b3e55756bf6e53bab13714e1e25c887e93bb | /pysonic.py | 3624f1037ac25598b61741de10d628f026b0c544 | [] | no_license | saibotd/couchpytato | c8f049ed9936d3eda537c45642cb972d57176cf4 | f7146d9cacdb93426e65bbe9a30cb9ec50088320 | refs/heads/master | 2021-01-22T04:33:42.223304 | 2013-07-17T16:47:26 | 2013-07-17T16:47:26 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,389 | py | import pySonic, time
class Music:
def __init__(self):
self.music = pySonic.Source()
self.playing = False
self.paused = False
def isplaying(self):
return self.music.IsPlaying()
def play(self, name=None):
ok = True
if self.paused:
self.mus... | [
"tobi@saibotd.com"
] | tobi@saibotd.com |
c3a0d221d0881ea417f3e5b03fd1a8fe558c52c1 | 632d58b9f7ae470d9ec2b0e88af0aa8054dfa40e | /src/ryzom_django/management/commands/ryzom_bundle.py | 48c255b344ea621534b03d56660dbf76563dd28f | [] | no_license | yourlabs/ryzom | 8d06bf829ee9d31d33fa9353fdf187241c82b6ef | 425859e2de30c3b939756a23a064fb1affe04b02 | refs/heads/master | 2023-05-13T10:27:09.766272 | 2023-05-02T14:49:25 | 2023-05-02T14:49:25 | 192,992,635 | 5 | 1 | null | 2022-10-11T20:19:52 | 2019-06-20T22:03:37 | Python | UTF-8 | Python | false | false | 873 | py | import os
from django.core.management.base import BaseCommand, CommandError
from ryzom_django import bundle
class Command(BaseCommand):
help = 'Write JS & CSS bundles to ryzom_django/static/bundle.*'
def handle(self, *args, **options):
static_path = os.path.abspath(
os.path.join(
... | [
"jpic@yourlabs.org"
] | jpic@yourlabs.org |
69479901b7cfdb541375dc320f6e72740a4e772b | e7a0ed2c4752253a87ff74bad6761165a37e834b | /BellmanFord.py | f861af60616a1e7b182af0abd57db1815c5610c6 | [] | no_license | ilius/Algorithms-Python | 09ac02ff6010e882775d22824940f22185a768c5 | 1d7d44859650ab9d36e6316c39a5d1400b3d3bc1 | refs/heads/master | 2021-01-17T14:27:55.846495 | 2013-11-19T20:18:30 | 2013-11-19T20:18:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 895 | py | import GraphLib
import DirectedEdge, ShortestPath
# negative cycle
with open('tinyEWDnc.txt', 'r') as f:
V = int(f.readline().strip())
E = int(f.readline().strip())
text = f.read()
f.close()
Gnc = GraphLib.EdgeWeightedDigraph(V)
lines = text.split('\n')
for line in lines[:-1]: # last line is empty
l = line.spli... | [
"leslieklein@comcast.net"
] | leslieklein@comcast.net |
4dd83c3d16e32174d0bbaec60784760de259507b | f969727f9bfce4984fde818b69129542b03f4bb0 | /intro/53_validTime.py | e04dd241853e23a35c1c594d5e226a3d5359837b | [] | no_license | big-ssk/CodeSignalPython | dc83476c2fa9c0f43a3fa22fb3507467a705cbeb | a9b3e8c66fd4dc6a595e058b1928153d466ecd66 | refs/heads/master | 2023-01-07T22:44:41.056283 | 2020-11-10T15:52:06 | 2020-11-10T15:52:06 | 297,742,549 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 117 | py | def validTime(time):
hours, minutes = time.split(':')
return 0 <= int(hours) < 24 and 0 <= int(minutes) < 60
| [
"noreply@github.com"
] | big-ssk.noreply@github.com |
9af0f22d01f8392e47d62ef608e0396880a6a4dc | 9d7905e71a4abda02000fc363fb82a16fb1e3bd0 | /control/actuator_properties.py | 2ed9690ff6428c5352b73dabe662fe570d823403 | [] | no_license | gaffarelj/DSE-Mars-SRV | 088a5cb111f6036be540b7e8defd8e95e9a3fd5a | 6a70d239e4cba091e24d4423e2c10db1ffe033af | refs/heads/master | 2023-01-30T08:45:16.244930 | 2020-12-16T21:33:56 | 2020-12-16T21:33:56 | 257,545,459 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,970 | py | import numpy as np
from matplotlib import pyplot as plt
#vehicle constants
length_body = 14.01
length = 14.01 + 3.6
body_radius = 7.61 / 2
capsule_radius_bottom = 2.3
capsule_radius_top = 1.4
x_cg = 0.
z_cg = 0.
z_cg_full ... | [
"wiegerhelsdingen@gmail.com"
] | wiegerhelsdingen@gmail.com |
1f62074c0c85f84ac88700f413546240cba19622 | ec78979fd8479e884ab93d723360744db5152134 | /wechat_stat.py | e05254f8304d487894b38f59d8004251e12e30bd | [] | no_license | xushubo/learn-python | 49c5f4fab1ac0e06c91eaa6bd54159fd661de0b9 | 8cb6f0cc23d37011442a56f1c5a11f99b1179ce6 | refs/heads/master | 2021-01-19T17:00:05.247958 | 2017-09-03T03:22:28 | 2017-09-03T03:22:28 | 101,032,298 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,139 | py | import itchat
from echarts import Echart, Legend, Pie
itchat.login() #登录
friends = itchat.get_friends(update=True)[0:] #获取好友列表
male = female = other = 0 #初始化计数器，男、女、不填的
for i in friends[1:]: #遍历好友列表，列表第一个是自己，所以从1开始计算 1表示男性，2女性
sex = i['Sex']
if sex == 1:
male +=1
elif sex == 2:
female += 1
else:
other += 1
... | [
"tmac523@163.com"
] | tmac523@163.com |
4ff054f06535f914bf1194cc99ced72fe1853799 | 36191115c3f91a1dadb675ba4f46611423c0e9d7 | /telegram_unvoicer_bot/telegram/const.py | ac79ca8b37c47a7f9b691907dc78cd0019b54933 | [
"Apache-2.0"
] | permissive | nabokihms/telegram_unvoicer_bot | 00805b9e89135fbbc77bbd7b5e28696bb3f34cb5 | bdc75d8d4bd25d5914523e984c22f2ac05f022e1 | refs/heads/master | 2023-02-22T19:25:22.964360 | 2022-10-14T10:35:22 | 2022-10-14T10:35:22 | 133,100,125 | 5 | 0 | Apache-2.0 | 2023-02-13T02:41:49 | 2018-05-12T00:16:01 | Python | UTF-8 | Python | false | false | 474 | py | from os import environ
from typing import FrozenSet
TELEGRAM_BOT_API_KEY: str = environ['TELEGRAM_API_KEY']
TELEGRAM_BOT_API_URL_PREFIX: str = 'https://api.telegram.org'
TELEGRAM_BOT_API_URL: str = \
f'{TELEGRAM_BOT_API_URL_PREFIX}/bot{TELEGRAM_BOT_API_KEY}/'
TELEGRAM_BOT_FILE_PATH_API_URL: str = \
f'{TELE... | [
"noreply@github.com"
] | nabokihms.noreply@github.com |
f9f9bdbea20f756b687e0c829b73e3f40f91236b | 92dbbd758ec9c8ce0bfa2275cb1e3f0db5938f7d | /scripts/delta_scan-join_five.py | 675afb5bc3c0131a7ca5d58a6fa11be53da061b0 | [] | no_license | RoslawSzaybo/bosons_on_lattice | cb5bdd0ded6d08f93faf1da410bc37939904ba4d | 3c82c5fbd2b27d806526bd88d23b603a6b26dbc4 | refs/heads/master | 2020-03-25T11:39:41.477564 | 2018-11-29T18:26:23 | 2018-11-29T18:26:23 | 143,741,939 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,839 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Aug 24 12:24:12 2018
"""
import numpy as np
import pickle
import sys
def delta(pkl):
return pkl[1]['delta']
zero = 1e-14
def the_same(a,b):
delta_a = delta(a)
delta_b = delta(b)
diff = abs(delta_b-delta_a)
return (diff < zero)
def repetitions(... | [
"pawel.wojcik5@gmail.com"
] | pawel.wojcik5@gmail.com |
f5d2f37e9340e9e1de69ab7c207e279391fe5bf5 | 5343fd379fc858be81c8993019201fe16e44599f | /Assignment4/data_loader.py | ad3559ba867e89fbf7ac5607be7721c36c73f772 | [] | no_license | FreddieSun/CS520_IntroToAI | d39a7d842108c189655b500365f4a480632bd6ee | f53a0fbb7a4431a7667c4894d6f36d324c1b79b4 | refs/heads/master | 2021-10-09T02:57:17.464117 | 2018-12-18T07:19:23 | 2018-12-18T07:19:23 | 150,920,609 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,705 | py | import scipy.misc
from glob import glob
import numpy as np
class DataLoader():
def __init__(self, img_res=(128, 128)):
self.img_res = img_res
def load_train_batch(self, batch_size=1, is_testing=False):
path = glob('./datasets/train/*')
self.n_batches = int(len(path) / batch_size)
... | [
"xl422@scarletmail.rutgers.edu"
] | xl422@scarletmail.rutgers.edu |
db68fe190b85a166a45fd651494dca56572f4e4d | a2793557adc64285f9965d25cefc4cea3cff8333 | /env.py | 322886ce58433d697bb194cf6602a6d1c3384a75 | [] | no_license | liuzhonghaolpp/H-DQN | bab3b6c4ea44640b473d2ddf2a7dbcc60e56b894 | 1e70d74424fc7679982db0372cce9bd9446970bb | refs/heads/master | 2023-03-18T06:58:00.697140 | 2021-02-28T13:30:51 | 2021-02-28T13:30:51 | 336,790,849 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,735 | py | import numpy as np
import torch
from gym import spaces, core
from gym.envs.classic_control import rendering
import entity
from utils import uav_mobility
import configparser
import time
config = configparser.RawConfigParser()
config.read('./paramaters.ini')
# 参数
MAX_AoI = 100
DURATION = int(config.get('simulation para... | [
"384037404@qq.com"
] | 384037404@qq.com |
c16aac2e875043d857d88fc4d33e2dd6def2bc57 | 0a24ca351b483e769c44c1651f839fe3fbf4c3e7 | /vurapy/config/production_env.py | ccb6f823e7fe5e59ffc77e485828fca246c8d7f2 | [
"MIT"
] | permissive | crisboleda/vurapy | f7be49f2681f8b47f634a0bc27042ed451e6839b | 12e35fb9373131181b1b8d4d5701fbbf4231dab8 | refs/heads/master | 2022-12-02T20:54:53.375384 | 2020-08-22T17:17:15 | 2020-08-22T17:17:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 672 | py |
from .base import *
from decouple import config
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = config('SECRET_KEY')
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = config('DEBUG', default=False, cast=bool)
ALLOWED_HOSTS = config('ALLOWED_HOSTS', default=... | [
"cristhian.2002.0@gmail.com"
] | cristhian.2002.0@gmail.com |
b9dac58212d011f1c76f030f0631c55f20b3f02f | 77ab593ed55a6d46b1778f6d41bc70ced3f8cd46 | /face_ID_net/face_1024s/face_1024_vals.py | 2b929cc2b67254c5a37f697a6093fc0d6f3d68f1 | [] | no_license | wosxcc/bot | e93b92fbca79a915feb186160f3f72c99218ffcb | c097f5455bc6264c9f778fb72900475963836153 | refs/heads/master | 2021-06-12T12:43:47.314071 | 2018-12-14T08:51:43 | 2018-12-14T08:51:43 | 128,619,488 | 7 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,983 | py | import os
import cv2 as cv
import numpy as np
import random
import tensorflow as tf
from face_ID_net.face_1024s.ID_pb_net1024s import face_net
os.environ["CUDA_VISIBLE_DEVICES"] = "1"
IMG_H=64
IMG_W =64
N_CLASSES =1024
learning_rate =0.001
def face_val(image_arr,run_train):
print('搞毛线啊')
log_dir = './face72... | [
"821022156@qq.com"
] | 821022156@qq.com |
fd2e4f64b8d23dc7435ca8f180adc95a3899a98b | 3a37b6ce2c1c481f6aded64b2d0c4421f7db1210 | /hpc_bin/wrf_postproc | eb26ac737814efe9bbbab6838f79c0a64670559b | [] | no_license | dbreusch/pythonExamples | 99c24dc1d28b8c3be3b4fadd30a05d8ae317b0c0 | 7b8c06208fefcadf918cb9517ac313535c4df010 | refs/heads/master | 2022-10-13T12:21:52.182752 | 2020-06-14T23:10:50 | 2020-06-14T23:10:50 | 265,911,840 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,217 | #!/usr/bin/env python
# wrf_postproc
# run wrf_postproc.ncl on a specific file
# output goes to a directory matching yy/mm/dd of input file
# 03/30/17, dbr, removed hardcoded dependence on home directory name
import pdb, sys, os
nargin = len(sys.argv)
if nargin < 2:
print "Syntax: wrf_postproc input_fn ensemble ex... | [
"dbreusch@me.com"
] | dbreusch@me.com | |
602f15f787ddf6f4abf25caf955202c918bb21a8 | 0bde172fb37280fa96758144dcec767990a89565 | /run.py | 6b7ebbdfe73be630d7affd8741dcdd2f91792392 | [] | no_license | JonatanMariscal/P2_E1 | a809dfaf11e2dedf008b1e0264e596d4786a4f4d | 04d4de2c91ac83859e7cce3d745024350c82db58 | refs/heads/master | 2022-06-17T02:14:45.405225 | 2020-05-10T19:47:10 | 2020-05-10T19:47:10 | 262,860,199 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,151 | py | import tkinter as tk
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import (
FigureCanvasTkAgg, NavigationToolbar2Tk)
import SimpleITK as sitk
def resample_image(image, reference):
pixel_spacing = image.GetSpacing()
new_spacing = [old_sz * old_spc / new_sz for old_sz, old_... | [
"noreply@github.com"
] | JonatanMariscal.noreply@github.com |
b9504f50d0a006b0e32c812812e12c7e725481ff | 50ec136d757fbd6033748ea0d0b084e1663fb4ff | /train.py | dd7a40588b03e4b8bea191ca677398465c207191 | [] | no_license | Tyler-Shamsuddoha/python-image-classifier-keras | 2b67cc196f8f692e22b65f6505ad779c57db53bc | 2e734bbb08290ff70a35e566114014762ff4bd06 | refs/heads/master | 2023-06-12T19:55:50.369444 | 2021-07-07T20:20:21 | 2021-07-07T20:20:21 | 353,856,724 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,729 | py |
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
from tensorflow.keras import backend as K
from tensorflow.keras.layers import Dense, Dropout, Flatten, Activation, Conv2D, MaxPooling2D
from tensorflow.keras.preprocessing.image import img_to_array, ImageDataGenerator
from imutils... | [
"tylershamsuddoha@gmail.com"
] | tylershamsuddoha@gmail.com |
1bc7d1b8360e79b34496216b5177441ca38e9763 | 22a8a20397148dd4aef2fbd529121df8b91c918f | /sklearn/iris_classification.py | c1cf8b64148764486906cd0a30d043cd5a016d06 | [] | no_license | greenchapter/playground | 87313d6926e21ee79c45114b0ff922948e35c601 | 033f300ccb8ef55dcbebb8197d5d1a8709fb258e | refs/heads/main | 2022-06-01T08:57:16.896340 | 2022-05-13T18:09:45 | 2022-05-13T18:09:45 | 96,816,180 | 0 | 0 | null | 2022-05-13T18:09:46 | 2017-07-10T19:59:37 | Python | UTF-8 | Python | false | false | 3,429 | py | #
# Beispiel der Klassifikations von Iris-Blumen
#
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.neural_network import MLPClassifier
from sklearn.metrics import classification_report, confusion_matrix
import matplotlib.pyplot as plt
# Lade den Iris-Datenset
data_train = pd.read... | [
"noreply@github.com"
] | greenchapter.noreply@github.com |
77e79f9ef67d7b2a99e8a1c2d037a274848b9c17 | ea3272d707f3a6e5d097301d300a0ea97ddd82b5 | /psm/oop1/oop1_2/info_hiding_property.py | b12f77b06d357a78fd4c81646ba553fa9c6dce8c | [] | no_license | gambler1541/BootCamp | d05850f256ed7a8baa02545551176959a66a9bb3 | b025dd07a8fedd58366f96c9b516f134a95138f1 | refs/heads/master | 2020-04-07T07:21:51.363439 | 2019-06-08T11:10:27 | 2019-06-08T11:10:27 | 158,173,790 | 1 | 0 | null | 2018-11-19T06:38:36 | 2018-11-19T06:38:36 | null | UTF-8 | Python | false | false | 830 | py | class Account:
def __init__(self, name, money):
self.user = name
# 인스턴스 멤버 선언이 아니라 setter 메서드를 호출
self.balance = money
@property
def balance(self):
return self._balance
@balance.setter
def balance(self, money):
if money < 0:
return
# 실제 ... | [
"sungmin3231@gmail.com"
] | sungmin3231@gmail.com |
7a5460a7b68fee36094e0189412d4ec7e108cebe | c11666437e45f6b771f4004e919dccfdab6c4640 | /pet_cats.py | cfadb02fc56200f91fb9545b7a676ebdd094354a | [] | no_license | mesare11/pet_market | 30ba4b06161550e2abdd1e2fac073d9b1c906c91 | c8e4006e578898c381be6f76cf6e05af39b94862 | refs/heads/master | 2021-01-02T19:02:34.933362 | 2020-07-23T12:16:01 | 2020-07-23T12:16:01 | 239,755,780 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 841 | py | from pet_goods import pet_goods
from pet_animals import pet_animals
class pet_cats(pet_animals):
def __init__(self, name, price, kind_pet, age, cats_breed):
pet_animals.__init__(self, name, price, kind_pet, age)
self.cats_breed = cats_breed
def display_cats(self):
print(self.name, self.... | [
"mr.mesare@gmail.com"
] | mr.mesare@gmail.com |
a291c7bfaadb64ce0f0f8fe7ff044a54344a7ba5 | 77c8d29caad199fb239133e6267d1b75bd2dfe48 | /packages/pyright-internal/typeshed-fallback/stdlib/builtins.pyi | 78b29c5aa7e794980ce9212e92a26b6fbb0c2072 | [
"MIT",
"LicenseRef-scancode-generic-cla",
"Apache-2.0"
] | permissive | simpoir/pyright | 9c80e596f99dfd1341a55373a96d8795cb72fb56 | 320a0a2fd31e4ffc69d4bd96d7202bbe8d8cb410 | refs/heads/master | 2023-04-18T06:42:16.194352 | 2021-04-29T15:20:19 | 2021-04-29T15:20:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 54,998 | pyi | import sys
import types
from _typeshed import (
AnyPath,
OpenBinaryMode,
OpenBinaryModeReading,
OpenBinaryModeUpdating,
OpenBinaryModeWriting,
OpenTextMode,
ReadableBuffer,
SupportsDivMod,
SupportsKeysAndGetItem,
SupportsLessThan,
SupportsLessThanT,
SupportsRDivMod,
S... | [
"erictr@microsoft.com"
] | erictr@microsoft.com |
f532fa34ab974fc95dff6d166910eebb381c45a5 | 68a155e62686542dc8e7e8069382085c88612280 | /application/routes.py | eab784019f5a8d46370a9c487ff0b720756d01de | [] | no_license | MohamedEmad1998/Movie-Recommendation-AI | 2f4de729452734e221625effa8809a07256cb8d8 | f6384117c6be758e4043ec6cb39d679bef627b7e | refs/heads/main | 2023-02-19T11:40:48.749679 | 2021-01-20T21:04:09 | 2021-01-20T21:04:09 | 331,429,351 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 642 | py | from application import app
import bot
from flask import render_template ,request
@app.route('/')
@app.route('/home')
@app.route('/index')
def hello_world():
return render_template("index2.html")
@app.route('/get')
def form_post():
message = request.args.get('msg')
response = bot.chat(me... | [
"noreply@github.com"
] | MohamedEmad1998.noreply@github.com |
8aa9836ef60eecec8665ea91de8d724b9abc0328 | f1c3614d6ef3874e816a2616ea0ae83704b052da | /tests/selenium_page.py | 58331945adeee298ace5dec647cb39d512dfa78d | [] | no_license | margaritaumaniuc/presto | a46ed88c433a68c762a28e80e413bb1b61d46705 | f95e85c7abb6da3919ed4fbfc96827f4bba473e2 | refs/heads/master | 2020-08-04T20:55:34.755285 | 2019-10-11T06:06:22 | 2019-10-11T06:06:22 | 212,275,851 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,591 | py | from selenium.webdriver.common.keys import Keys
from selenium.common.exceptions import StaleElementReferenceException, ElementNotVisibleException
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriverWait
from tests.settings import WDW_TIME
class BasePa... | [
"margarita.u@sparkcentral.com"
] | margarita.u@sparkcentral.com |
97fb86a6fc77d10f0b1704b970c7eb502694ccf4 | 693d005c1d1b1dc39d970bb9683282a5eede389f | /fourth_project/manage.py | 9e85fa14b8338c2a7e0f3e9e88dc04cd538a69e3 | [] | no_license | FranklinMonro/UDEMY---Full-Stack-Django | db3d3646e973dec7d74dbb1b50c54d68c7f1a366 | 21ac64652342b9d7e97c34b7d4b8d10247431317 | refs/heads/master | 2020-04-19T03:59:26.269493 | 2019-05-14T15:06:41 | 2019-05-14T15:06:41 | 167,949,913 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 561 | py | #!/usr/bin/env python
import os
import sys
if __name__ == '__main__':
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'fourth_project.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't im... | [
"noreply@github.com"
] | FranklinMonro.noreply@github.com |
3b9fd7f7cb708040b5bbad3d59b9b3d09d01e4bd | e960a8d11fd8bf86742a82d879ec765e0c801bf6 | /GeneratePredictionT.py | 84b77119a8dc9062b6a76af69cea3b825ad2a7a3 | [] | no_license | limcrong/trafficmanagement | 91801a2bce86135325f031fff51ae575255e1118 | c76303020300df265a0c0a05dd1d0c7e679d3a31 | refs/heads/master | 2020-06-05T01:30:53.748716 | 2019-06-19T02:40:57 | 2019-06-19T02:40:57 | 192,266,519 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,638 | py | #!/usr/bin/env python
# coding: utf-8
# In[2]:
import pandas as pd
import xgboost as xgb
from xgboost import XGBClassifier
from xgboost import XGBRegressor
import numpy as np
from sklearn.preprocessing import MinMaxScaler
from sklearn.externals import joblib
from sklearn.metrics import mean_squared_error
from math i... | [
"rongronggg@gmail.com"
] | rongronggg@gmail.com |
4e7b95fde55ee2c89e339d086f06d4dbd57c294b | db68071bbdb5cb2cd7713b89c96d554e00470ab2 | /MotionSensor.py | 132223c16c76f3075f3216ec076cda53a07bad04 | [] | no_license | majorpeter/puha-manager | a265c9d14d845d0efab27c664420fffc3147054b | fd51b560a7e1dad99204ae3c9c7369d17cbcfd32 | refs/heads/master | 2020-03-19T04:35:44.466718 | 2018-12-21T20:24:26 | 2018-12-21T20:24:26 | 135,844,927 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 575 | py | import logging
from datetime import datetime
class MotionSensor:
def __init__(self, node):
self.node = node
self.node.PulseCount.subscribe_to_changes(self.on_pulse_count_changed)
self.last_movement_time = datetime.now() # let's assume there is movement on startup to avoid checks later
... | [
"majorpeter29@gmail.com"
] | majorpeter29@gmail.com |
2b3dde4546e2cdd37640fda3bce835cc0e437bce | aa39ef39ffe34dcf90c5b7246b118aa17fb382ff | /gcaptcha/rest/views.py | a6fca4bf34e9df24e25a709f5f34b54ab85d7e58 | [] | no_license | toantt28/django-bypass-gcaptcha | 635dcd3ddfbd5fc7b0d0b4d696e4541550970bf2 | 78ae7ad7af1fd866995f0c3988b70e359f0953b2 | refs/heads/master | 2022-12-28T11:14:45.468781 | 2020-10-14T07:12:38 | 2020-10-14T07:12:38 | 303,744,292 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,373 | py | from http.server import BaseHTTPRequestHandler, HTTPServer
from urllib.parse import urlparse
import json
#system libraries
import os
import random
import time
#selenium libraries
from seleniumwire import webdriver
from selenium.webdriver.common.keys import Keys
from webdriver_manager.chrome import ChromeDriverManager... | [
"toan.tt@neo-lab.vn"
] | toan.tt@neo-lab.vn |
4619d834c5879ba0fbbdd46908424b4e26a6a8fa | 4af4f4f40e95193cf2fed870724e39263d17d22c | /compined_testing.py | 6f80f28f5133e88c74309642716c3e67f854cb31 | [] | no_license | basharE/pythonFirstProject | 1a5a138fda0230f4ef40a21c905bc23fbb9c5e7a | d9ec307725449096bf5feb1e507506003fbae5c2 | refs/heads/master | 2023-04-06T12:14:36.980051 | 2021-03-28T17:57:49 | 2021-03-28T17:57:49 | 338,761,126 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 604 | py | import requests
from db_connector import get_user
from selenium import webdriver
user_id = 1001
requests.post('http://localhost:5000/users/' + str(user_id), json={"user_name": "user name " + str(user_id)})
res = requests.get('http://localhost:5000/users/' + str(user_id))
assert res
assert get_user(str(user_id))[0][0] ... | [
"bashar.egbariya@peer39.com"
] | bashar.egbariya@peer39.com |
b865443f9f33aa61a37c0e20be96d1d6fc77a124 | 3b062b3dc545e11513da709ef3f525a6d64e37e0 | /p2.py | d7b462a5f6f64fcf947598373efbda37d0f221c3 | [] | no_license | saraattia412/python_projects | 75932a8badb77aa06b7fb008594fcacdd6a6b276 | d2b3f1ec4f7e47a6bc8dd00b5bf8c7d01f5f8ec2 | refs/heads/master | 2023-08-28T04:01:02.293203 | 2021-09-25T18:30:10 | 2021-09-25T18:30:10 | 410,351,931 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 284 | py | #sum and average any number
print('welcome in sum_average_game ^-^')
count=int(input('how many number :'))
current_count=0
sum=0
while current_count<count :
number=float(input('enter number:'))
sum += number
current_count += 1
print('sum=',sum)
print('average=',sum/count) | [
"saraattia412@gmail.com"
] | saraattia412@gmail.com |
9c162425d5991391ecff90fd0305e2d82e9d7f23 | 1e8177c6fcb5f5035de5c463f4e07ba645f5ae49 | /csv2xl.py | 6a3be9daaabc2bfe0cf3c0a8670ca2f29678a951 | [] | no_license | sravanre/python | 1a97669da262d3067fce6f7bc67141ba976f176c | 248e3612be2890313be68886d02ff8a39e6c423d | refs/heads/master | 2021-07-03T18:11:01.094397 | 2020-09-18T10:04:28 | 2020-09-18T10:04:28 | 172,246,636 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 368 | py | import csv
from openpyxl import Workbook
wb = Workbook()
ws = wb.active
#ws = wb['Sheet1']
f = open("marks.csv","r")
for lines in csv.reader(f):
ws.append(lines)
f.close()
wb.save('marks1.xlsx')
wb.close()
##r=1
##for lines in csv.reader(f):
## for c,val in enumerate(lines):
## ws.c... | [
"noreply@github.com"
] | sravanre.noreply@github.com |
b4b2aa8f7d0110d5a1ee9b8e0de04c1e02146c12 | 9743d5fd24822f79c156ad112229e25adb9ed6f6 | /xai/brain/wordbase/otherforms/_zoologists.py | d5eaad0aa4529df66ccc13452502429859ae6960 | [
"MIT"
] | permissive | cash2one/xai | de7adad1758f50dd6786bf0111e71a903f039b64 | e76f12c9f4dcf3ac1c7c08b0cc8844c0b0a104b6 | refs/heads/master | 2021-01-19T12:33:54.964379 | 2017-01-28T02:00:50 | 2017-01-28T02:00:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 234 | py |
#calss header
class _ZOOLOGISTS():
def __init__(self,):
self.name = "ZOOLOGISTS"
self.definitions = zoologist
self.parents = []
self.childen = []
self.properties = []
self.jsondata = {}
self.basic = ['zoologist']
| [
"xingwang1991@gmail.com"
] | xingwang1991@gmail.com |
e56b25cff63a25e70c4cdee0e6b01b2051686c7b | d6977cd01645d5259c4e33d8885ae279695d59fa | /django_tutorials/Django1.8Pro/mypro/mypro/settings.py | 105f0902e48e1cf21ce668b3693c4d6029131ac0 | [] | no_license | Jadatravu/Tutorials | 092cbea55a4906e5968037915caa29698270397f | b07262c46dd997ee43260ea006a7010644f95650 | refs/heads/master | 2021-01-17T13:11:21.119328 | 2019-11-01T08:49:53 | 2019-11-01T08:49:53 | 14,251,990 | 1 | 4 | null | null | null | null | UTF-8 | Python | false | false | 3,477 | py | """
Django settings for mypro project.
Generated by 'django-admin startproject' using Django 1.8.
For more information on this file, see
https://docs.djangoproject.com/en/1.8/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.8/ref/settings/
"""
# Build paths in... | [
"ubuntu@ip-172-31-35-183.us-west-2.compute.internal"
] | ubuntu@ip-172-31-35-183.us-west-2.compute.internal |
6559913c8662fc497e27f7cebfb1cbc71854dcb1 | 4d83dbfc94ba1b0f098f990a1790df36fda66628 | /Practice/pytorch_tut/pytorch_BatchTraining.py | bef2d35ff85610df1e529dc104d6cbd9b33a09c6 | [] | no_license | CTM-development/ML4B | 31dfff27796ebfbeefe40f5eb687eb94d5c88acf | 38a9de7a63bfd4fe77d4bb6af3e228f6dcfbe7f7 | refs/heads/main | 2023-05-08T09:42:17.604282 | 2021-06-01T18:12:01 | 2021-06-01T18:12:01 | 371,355,130 | 0 | 0 | null | 2021-05-31T17:45:58 | 2021-05-27T11:49:51 | null | UTF-8 | Python | false | false | 1,467 | py | '''
epoch = 1 forward and backward pass of ALL training samples
batch_size = number of training samples in one forward& backward pass
number of iterations = number of passes, each pass using [batch_size] number of samples
e.g. 100 [samples, batch_size=20 --> 100/20 = 5 iterations for 1 epoch
'''
import torch
import to... | [
"christopher@mminderlein.de"
] | christopher@mminderlein.de |
41b90ed3b74875084c2c3186f9d9abf696281e63 | 85eb042f8370100b3bccbfc247746df3ddbbefa3 | /data_control.py | 6fe1a1e255788a0b67a010832e599db14f9b8962 | [
"MIT"
] | permissive | mic100/seloger.com | eda05f563bd6a8576f540bf4e393cae3ccba6ad1 | c713c09783e74846b1ac73ea9cc6cfcddf0cc331 | refs/heads/master | 2021-01-10T20:47:22.297843 | 2015-10-30T21:01:05 | 2015-10-30T21:01:05 | 27,082,632 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 19,165 | py | # -*- coding: utf-8 -*-
#-----------------------------------------------------------------------------#
#!!!! #
# #
#please note the code is not up to date. It may not wor... | [
"mic100@hotmail.fr"
] | mic100@hotmail.fr |
b2ecd23d0488f2b3bea55b15c9d3b6bc34e739ab | 98e7edf7a3f834580ba6a3c1058506e5a773d1bb | /fileHandling.py | b4d3e6ae4d6684d77027c28ed20cabc3eedba404 | [] | no_license | gauravhansda/InterviewQuestions | ef95363440d9eb0057ab0551f155793ea3e5e3b0 | 5134c59d3d543982a30465d7d4eaa1c8902185e2 | refs/heads/master | 2021-01-01T17:07:11.537838 | 2017-07-22T02:31:23 | 2017-07-22T02:31:23 | 98,001,531 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 478 | py | class FILEHANDLING():
def __init__(self):
self.file_name = "file.txt"
# Remove blank lines from the file
def remBlanks(self):
with open(self.file_name, 'r') as inp:
lines = inp.readlines()
print lines
with open("out.txt", 'w') as out:
for line in lin... | [
"GauravHansda@Gauravs-MacBook-Pro.local"
] | GauravHansda@Gauravs-MacBook-Pro.local |
267e66a7d5ee24cddd6245f2bb5aaf4c8f0bee87 | 4d051a2875532ee9825559261927218bbac3dbf4 | /src/arm/joint/__init__.py | c5d36d433fbcca594e664ed8910fe826eec87b91 | [] | no_license | swol-kat/Arm_Code | 4554b9f79460929515dc4e5c0dc7f0b7b23985da | 389a8fe4875c6ab90e2ec79dedf445088b21c855 | refs/heads/master | 2023-04-11T11:06:38.759482 | 2021-04-23T00:28:15 | 2021-04-23T00:28:15 | 335,827,731 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 64 | py | from .joint import Joint
from .virtual_joint import VirtualJoint | [
"arjungandhi06@gmail.com"
] | arjungandhi06@gmail.com |
c148d463b278c19a66dbc6bfe9f7997cdb5d3cb7 | e517fcf60b982bb843ae846fa881102d504c368c | /poncho/postprocess/prepare_data.py | e6bf2e27d2a127b733c008f9ca472b820e8fb482 | [
"MIT"
] | permissive | waduhek/poncho | b79aa9087faf9809872eeb6a36a21de3e34bb5d8 | 47a8f2600d1afcfb8f9fa76ff0c68eb9f132f56c | refs/heads/master | 2020-04-17T15:14:31.865951 | 2019-04-19T09:24:54 | 2019-04-19T09:24:54 | 166,690,766 | 4 | 1 | MIT | 2019-04-19T06:35:26 | 2019-01-20T17:45:39 | Python | UTF-8 | Python | false | false | 1,916 | py | import os
import time
from datetime import datetime
import pandas as pd
from poncho.utils.get_base_dir import get_base_dir
def main(unique_years):
(BASE_DIR) = get_base_dir()
# Log file
log = open(os.path.join(BASE_DIR, 'data', 'logs', 'train_{}.txt'.format(str(time.time()).split('.')[0])), mode='a')
... | [
"ryannor56a@gmail.com"
] | ryannor56a@gmail.com |
9ec2452996d72632a51586c21518412a127f1081 | 95a9ee042c6d0aa9cc5ee44c6b9317a10e7b02ee | /day07/python/day07.py | 4b491ffdeb3195bf4f11b03bf979dea285e470e7 | [] | no_license | ochronus/advent-of-code-2019 | 4e273a236a801cffc347c419d408ebd717366f7f | ba47c63913c6b85953d04eaad15f8fac56ed1c5b | refs/heads/master | 2020-09-21T13:32:51.679255 | 2019-12-13T06:05:08 | 2019-12-13T06:05:08 | 224,802,962 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,467 | py | from itertools import permutations
from queue import SimpleQueue
from computer import Computer, HaltException
def part1(program):
phase_settings = permutations(range(5))
highest_output_signal = 0
for phase_setting in phase_settings:
amplifiers = []
for i in range(5):
amplifiers... | [
"ochronus@ochronus.com"
] | ochronus@ochronus.com |
382ed93decb7215d582077e08f363fa17473c08f | dbb0a4d452ac0faf00411a09b7e32f13ffdb31e8 | /tests/ssh_test.py | e2dda308c8bbe2ee15c26bb156ddb008f3404399 | [] | no_license | koverman47/EGEN_310 | 3ef66b7fb773b4e5fb833c250c87c7cf4fc84d49 | f69e292baa48bca441dd0f7d9ba7789db417d42a | refs/heads/master | 2020-04-18T00:39:47.999960 | 2019-04-24T20:14:44 | 2019-04-24T20:14:44 | 167,086,003 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,130 | py | #!/usr/bin/env python3
import paramiko
import sys
import tty
import termios
# RPi Zero w SSH Credentials
host = "zeropythirty"
ip = "10.152.247.52"
user = "pi"
passw = "pi"
# Establish SSH tunnel
try:
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect(hostna... | [
"knoverman@comcast.net"
] | knoverman@comcast.net |
f32e1d9a57e44c6badf99051fc94750d8a7f23e3 | 0c4d481936c5cde601e3b9d6c7e83b8e70ba9fae | /.history/train_search_param_20201009092152.py | 12cf377b195daa81cd3800b44ababebd327c74c8 | [] | no_license | CGCL-codes/PDAS | 7d98afaf60abe7ce3075e80125d98e51d92f42f0 | 578011f738f2418fe5be2dd38eb819566e7fc3bb | refs/heads/master | 2023-05-08T03:26:56.450175 | 2021-05-27T02:50:38 | 2021-05-27T02:50:38 | 371,215,287 | 1 | 2 | null | null | null | null | UTF-8 | Python | false | false | 17,688 | py | import os
import sys
import time
import glob
import math
import random
import logging
import numpy as np
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.datasets as datasets
import torch.backends.cudnn as cudnn
import torchvision.transforms as transforms
#from res... | [
"1300302496@qq.com"
] | 1300302496@qq.com |
0605bbf65a547de08887585ef7e0fee02b015ac9 | 0ceabf1234cc921e1cd81c4290168b2f770d1aa1 | /home/migrations/0004_auto_20200521_1808.py | 688eb628541e321563fd3ab8a77d25d3bc2a9478 | [] | no_license | deekhari00716/Doctor-s-webstite | f4cdf915fbda676a17efd8db94712dbe0456d0b4 | 78f5e671277f041d21f362f267d5b9c893caf50c | refs/heads/master | 2022-08-18T16:31:28.691028 | 2020-05-23T13:02:47 | 2020-05-23T13:02:47 | 266,334,136 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 423 | py | # Generated by Django 3.0.3 on 2020-05-21 18:08
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('home', '0003_project_date'),
]
operations = [
migrations.AlterField(
model_name='project',
name='image',
... | [
"deekhsri00716@gmail.com"
] | deekhsri00716@gmail.com |
5a8680c24a91be453228f2818013da9f4dc66067 | 05dc7b4b44200cc022b09f773dd868049ecfb3e1 | /rss/admin.py | c0a8c6aaa5087612094e649d116e9e1783bec26f | [] | no_license | micah66/rssFeed | e7cea9a3f68713585990aaa039ff80c289d01e75 | 0b17f3d13333bf7e6eae182fdeb6bc565ef8977a | refs/heads/master | 2020-03-21T12:44:29.659306 | 2018-06-28T08:52:45 | 2018-06-28T08:52:45 | 138,569,472 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 123 | py | from django.contrib import admin
from .models import Headlines
# Register your models here.
admin.site.register(Headlines)
| [
"micahgordon66@gmail.com"
] | micahgordon66@gmail.com |
6edc845cb4ebc87b7e5081731b569ca3d83813bd | f876ed037442b60e964bb53e4a0cc7e14818a746 | /rnn.py | 54a32e964cce09e970934f341f7459084c3d9bde | [] | no_license | shksa/cs231n-Assignment3 | b08913353372575ff8b04552387008b91e6a0a06 | 528581fdd47471390fcd95a79b626a0a738c9b58 | refs/heads/master | 2021-01-20T12:42:09.528428 | 2017-05-05T16:44:33 | 2017-05-05T16:44:33 | 90,397,008 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,020 | py | import numpy as np
from cs231n.layers import *
from cs231n.rnn_layers import *
class CaptioningRNN(object):
"""
A CaptioningRNN produces captions from image features using a recurrent
neural network.
The RNN receives input vectors of size D, has a vocab size of V, works on
sequences of length ... | [
"noreply@github.com"
] | shksa.noreply@github.com |
1fe280eafbf7f4ca37046d98d4cf1d1ae08472ed | 18059513f87f1adc5cae34ac74bd89835c4f6816 | /Deck_of_cards.py | 8bdec654c96079de29cafccbb7c1c2ada8122edc | [] | no_license | PrzemyslawMisiura/Deck_of_cards | fcdc6d47ba10d352d7e29005d4b6ef23734870bf | ed0f941ec4456dc2435c87f1f8a111db43549861 | refs/heads/master | 2020-07-17T23:32:25.635935 | 2019-09-04T10:35:00 | 2019-09-04T10:35:00 | 206,124,434 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,953 | py | # Specifications
# Card:
# Each instance of Card should have a suit ("Hearts", "Diamonds", "Clubs", or "Spades").
# Each instance of Card should have a value ("A", "2", "3", "4", "5", "6", "7", "8", "9", "10", "J", "Q", "K").
# Card's __repr__ method should return the card's value and suit (e.g. "A
# of Clubs", "J of ... | [
"przem.misiura@gmail.com"
] | przem.misiura@gmail.com |
f6b693f1370e3d80c736a6b08d507d671d4a8bc5 | 008c065391d766fec2f2af252dd8a5e9bf5cb815 | /Even Matrix.py | 7e545a6a78adeb1c5ec75a406ef4644cbe57e481 | [] | no_license | 22Rahul22/Codechef | b261ab43ff5ff64648a75ad1195e33cac2cfec52 | 1f645c779a250a71d75598e1eabad7e52dd6b031 | refs/heads/master | 2022-11-29T21:51:09.578798 | 2020-08-19T06:20:23 | 2020-08-19T06:20:23 | 288,650,009 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 890 | py | t = int(input())
for _ in range(t):
n = int(input())
arr = [[0 for i in range(n)] for j in range(n)]
sr = 0
er = n
sc = 0
ec = n
z = 0
num = 1
if n % 2 == 0:
x = n // 2
else:
x = 1 + (n // 2)
while z != x:
j = sc
while j < ec:
arr[s... | [
"rahulbhl22@gmail.com"
] | rahulbhl22@gmail.com |
a26d87e83ed554ff4bfb8c5fe46b37fc647dc7a7 | 24cf672d6f5d8f43b42a847d0537e2feb38729c9 | /SSModel/InternalSSClassifiers/BERTModel.py | cf423b5df71bfe2f145b1cfe985d4fe5c78849ff | [] | no_license | chris414862/LiSSA | 0ffe7670a432d6ee657c73b13dc9c63f8a32aa02 | 63bb3bfeed462453cda97d88f3f8b30d113d252d | refs/heads/main | 2023-09-05T03:16:22.935872 | 2021-11-10T17:45:27 | 2021-11-10T17:45:27 | 327,984,243 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,413 | py | import torch
import torch.nn as nn
from transformers import BertModel, BertTokenizer
from SSModel.InternalSSVectorizers.BERTVectorizer import BERTVectorizer
from SSModel.ModelInterface import Model
from SSModel.VectroizerInterface import Vectorizer
from transformers import AdamW
import pandas as pd
from utils.A... | [
"chris414862@gmail.com"
] | chris414862@gmail.com |
dec87b22a15123ba554802e7dab90b8df69397a1 | 1a375cf927f2ffd33ef9087637d04ce6c83de566 | /demo/backtest_f/main.py | bbb8fbc0b513361127ffd2d557cb3e313cb85193 | [
"MIT"
] | permissive | lgh0504/snake | af2bd25642f57a35442cfd41161d489db12019b9 | 0fd9929995327a1c23486c0dbc5421e18791eb88 | refs/heads/master | 2023-03-18T18:13:53.237850 | 2017-12-18T01:48:43 | 2017-12-18T01:48:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,123 | py | # coding: utf-8
from datetime import datetime
import pandas_datareader as pdr
from f.portfolios import MarketOnClosePortfolio
from f.strategy.ma_cross import MovingAverageCrossStrategy
# from f.strategy.random_forecast import RandomForecastingStrategy
def run_backtest(symbol, date_range=(datetime(2016, 8, 29), date... | [
"lbj.world@gmail.com"
] | lbj.world@gmail.com |
4e6b2f5305a95ee8bd724518db163a25821cd145 | 6e637218f6bb9c9e9ede685665c47c655ee73c35 | /addon/addon_dependencies/mod/46461-46487M/space_userpref.py | 269ef41ed1fbed76e8c66c1294cc764d6828a137 | [
"LicenseRef-scancode-warranty-disclaimer"
] | no_license | littleneo/Blender-addon-dependencies | e5ffeff27e8f26b7f184c59fa70690f60f952167 | cafd484ec42c3c5b603de7e04442a201f48375ea | refs/heads/master | 2020-05-27T17:41:38.494409 | 2012-08-20T16:05:05 | 2012-08-20T16:05:05 | 2,091,693 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 40,958 | py | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distrib... | [
"jerome.le.chat@free.fr"
] | jerome.le.chat@free.fr |
29459d2f2495bd6eabb00953ccd6e2064a3749f5 | d82a8844c7d46c752e567cca41a8ae1c15c975f7 | /API/urls.py | aaae4d1d1c0b11959a544fed6876085e896c1700 | [] | no_license | golammahmud/job_evaluations_project | f1be9f8f8b27c0f9db6539294ccff25254ff08f3 | fe362f2d6bc57e1d550c39263312ef046eb7754c | refs/heads/master | 2023-08-04T10:20:59.442703 | 2021-09-27T02:31:03 | 2021-09-27T02:31:03 | 410,347,863 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 679 | py | from django.contrib import admin
from django.urls import path,include
from rest_framework import routers
from .views import UserInputView,UserBasedInputView
from rest_framework_simplejwt.views import TokenObtainPairView,TokenRefreshView
router=routers.DefaultRouter()
router.register('all-userinputs',UserInputView)
r... | [
"golam.mahmud99@gmail.com"
] | golam.mahmud99@gmail.com |
bec4636056c0dc596b344cbdca2e4857ec559ff4 | 41299f375dbd79fc6e1163333de11a27623ab7fd | /server/dbpedia/__init__.py | cc74d451e46371ba2a1e49114ba091f920692a32 | [] | no_license | MatrixReloaded/ArtViz | b18315562f30e2f0388d824ee9fcdf02fcca3591 | b479079287a4e3f82fb1e6f9b1b223ef977af73e | refs/heads/master | 2021-01-14T09:45:47.122465 | 2015-10-03T17:02:31 | 2015-10-03T17:11:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 97 | py |
"""
DBpedia quepy.
"""
from basic import *
from people import *
from BasicQuestions import *
| [
"oana.balaceanu@ymail.com"
] | oana.balaceanu@ymail.com |
0873be18a9c6f1322e01559626604b34c5ef88c1 | fea6ceb798d612368a27888e6490b4f91c04384f | /continue.py | bdfc1b2cc6ab4f708e4b8266f81d187ed8caf26f | [] | no_license | neogeolee/PythonWorkspace | b4a8d8cf0ef451bf3bc0e00ccaecaf48253bc0b8 | f8b9aff2ce821142990acac1cd2406bbe140ab4b | refs/heads/master | 2022-12-17T11:30:29.974230 | 2020-09-22T16:28:58 | 2020-09-22T16:28:58 | 297,708,060 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 309 | py | absent = [2, 5] # 결석
no_book = [7] # 책 안들고 왔음
for student in range(1, 11):
if student in absent:
continue
elif student in no_book:
print('오늘 수업여기까지 {0} 개새끼야 따라와'.format(student))
break
print('{0}, 책읽어라'.format(student)) | [
"neogeolee@nate.com"
] | neogeolee@nate.com |
f7863d8927d006aaf6bb1f2450af7fe6550ab070 | e34d4bf879910b8f41068c1efb90915897e53d53 | /system_design_ladder/GeoHashII.py | b15bec1dd5ca21a631b684b5a96092a0772cec5f | [] | no_license | ZhouningMan/LeetCodePython | 6cfc30f0b76f6162502410fef5639fde4801bd74 | cad9585c440efb329c9321648f94c58ded198438 | refs/heads/master | 2020-12-10T03:53:48.824344 | 2020-01-13T02:29:02 | 2020-01-13T02:29:02 | 233,494,907 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,179 | py | class GeoHash:
BASE32 = "0123456789bcdefghjkmnpqrstuvwxyz"
"""
@param: geohash: geohash a base32 string
@return: latitude and longitude a location coordinate pair
"""
def decode(self, geohash):
binary = self._to_bin(geohash)
lon_bin = [binary[i] for i in range(0, len(binary), 2)... | [
"linfenglee321@gmail.com"
] | linfenglee321@gmail.com |
5e6f288758fa99fdf7f7a34041decfca9b7f7f42 | dac906538145808a71e94e030d63c6f20753977a | /webapp/models.py | 1816f0d14f43481ce923fe42af4e351a6fad5b98 | [] | no_license | nikofil/NMProject | 3a0846b72cf66afb140feff9674d053e144f8087 | 150971c67e509b2bdc874b85c1f6abda4e27c793 | refs/heads/master | 2020-12-31T05:24:39.311930 | 2015-07-01T10:16:26 | 2015-07-01T10:16:26 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,832 | py | from django.db import models
def toint(x):
try:
return int(x)
except ValueError:
return -1
def tofloat(x):
try:
return float(x)
except ValueError:
return -1.0
class BaseStation(models.Model):
# describes a base station record
rid = models.IntegerField(defaul... | [
"aesmade@gmail.com"
] | aesmade@gmail.com |
8dbfd84f504b14bdf50f58fb927e9dff65dae76d | 4714f19916c27a49d3a29f9bd96bdf92ca5affea | /extensions/sympyex/__init__.py | 223f96e875e112503e4003a6481b283447616b09 | [] | no_license | Sroka/jupyter_maths | 803c6834eff5186f8262cbc5246c9aca80dbec41 | 81c385cceae192c23f3c33ccb203708b7fe349d6 | refs/heads/master | 2020-03-22T08:11:20.482729 | 2019-03-03T10:19:31 | 2019-03-03T10:19:31 | 139,750,821 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 709 | py | from sympy import Expr, Equality, latex
from IPython.display import display, Latex
def expressionEqualityExtension(self: Expr, function):
return Equality(self, function, evaluate=False)
def latexify(self: Expr, mode='plain'):
return latex(self, mode=mode)
def latexify_inline(self: Expr):
return latex(... | [
"srokowski.maciej@gmail.com"
] | srokowski.maciej@gmail.com |
1c2f7f5a73f04021dcfaf564920e8a0ffd7f0374 | 93c43eb538a14261f1af29e91d1770a99184eb82 | /adding milk routes v2.py | 8b5e441034fca3677075ea48e0b054e984fc133c | [] | no_license | VS-DavidSouth/FMD_Truck_python | e61bc0c2b278ee52a8848b5eed457ce7c1c775b0 | 6d241f454379936b7192d2422db19bc507d09e1c | refs/heads/master | 2020-03-27T05:41:15.030656 | 2018-08-24T21:03:56 | 2018-08-24T21:03:56 | 146,039,869 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,383 | py | #adding milk routes v2.py
#Created by David South -- Last updated: 6/1/17
#Adapted from "adding routes v3" for the Feed Truck Model
#Purpose: to create a Feature Class for each region with a specific number
#of blank rows with specific fields that will be used to make routes in the VRP
#(Vehicle Routing Problem) in the... | [
"12001003523326@FEDIDCARD.GOV"
] | 12001003523326@FEDIDCARD.GOV |
30afeecf7a442f626392bcc9b54728254bb8a8be | 60d5ea4f007d49768d250ef394003f554003e4d0 | /python/Linked List/142.Linked List Cycle II.py | dec51f534aabccb931d8e8932d39d11aac643c6f | [] | no_license | EvanJamesMG/Leetcode | dd7771beb119ea1250dbb3b147a09053298cd63b | fa638c7fda3802e9f4e0751a2c4c084edf09a441 | refs/heads/master | 2021-01-10T17:11:10.896393 | 2017-12-01T16:04:44 | 2017-12-01T16:04:44 | 46,968,756 | 5 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,911 | py | # coding=utf-8
'''
Given a linked list, return the node where the cycle begins. If there is no cycle, return null.
Note: Do not modify the linked list.
'''
# Definition for singly-linked list.
class ListNode(object):
def __init__(self, x):
self.val = x
self.next = None
'''
使用快慢指针。若链表存在环，两指... | [
"Evan123mg@gmail.com"
] | Evan123mg@gmail.com |
1b464ae08fac263159c6d7d58623f8f8b5db8153 | 2e3f7b74e5e14eb9b12d316f609c3f057de1e845 | /ka_kun_blog/forms.py | 92a17c224684df6f4661e7cfab7160cff51c5071 | [] | no_license | katsuhikonakano/blog | edf3de81b1cfe45d2739fa55375bafbf326a0263 | 2c46d7e8b7044b1ab05ba9c9e595f9d4861b2674 | refs/heads/master | 2021-03-08T08:46:11.347696 | 2020-07-27T03:36:39 | 2020-07-27T03:36:39 | 246,260,917 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,299 | py | from django import forms
from .models import Post
from django.forms import TextInput, Textarea, FileInput, Select, SelectMultiple
from django.contrib.auth.forms import AuthenticationForm
class PostForm(forms.ModelForm):
class Meta:
model = Post
fields = ["title", "content", "thumnail", "image", "c... | [
"katsuhiko1211@gmail.com"
] | katsuhiko1211@gmail.com |
ade97c5dd853443919aed5d2d9e2775c257ab39f | b7c788979e8f0f7cb9283874e46f9ec12d13819c | /app/Member.py | f035869d4271d59c55940c97a23e3e716c457110 | [
"MIT"
] | permissive | luwoldy/masonite-wcv | 457ba95c7722f1434e35b31973f5b89102ce5434 | c520f8b30c1775b3e337c3fa63ae8f08c1b0adf4 | refs/heads/master | 2023-01-09T05:34:49.048144 | 2019-12-20T02:55:54 | 2019-12-20T02:55:54 | 210,762,211 | 0 | 0 | MIT | 2023-01-04T11:19:06 | 2019-09-25T05:26:03 | CSS | UTF-8 | Python | false | false | 110 | py | """Member Model."""
from config.database import Model
class Member(Model):
"""Member Model."""
pass | [
"leul.woldeab@gmail.com"
] | leul.woldeab@gmail.com |
c4cf2cde8e5feb6718ee02fd9cd86914090cb1ec | 55d9fd08d587c7a724a41c447bf7f57252788f5b | /lfp_causal/meso/stat_easy_vs_hard.py | 3f46205f09f1dcec82319ae802294193264b9147 | [] | no_license | StanSStanman/lfp_causal | 1f400b5d5da285eacc273e04ecd2fcc4ee274bc6 | 832c22dd16aab5650355b58b96dbd3743805f640 | refs/heads/master | 2022-05-10T03:03:28.256695 | 2022-04-21T14:38:01 | 2022-04-21T14:38:01 | 176,560,264 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,952 | py | import os
import os.path as op
import xarray as xr
import numpy as np
import pandas as pd
from frites.dataset import DatasetEphy
from frites.workflow import WfMi
from itertools import product
from research.get_dirs import get_dirs
from lfp_causal.IO import read_session
from lfp_causal.compute_bad_epochs import get_ch_b... | [
"ruggero.basanisi@gmail.com"
] | ruggero.basanisi@gmail.com |
a8f1f9f4f7be1763c648b87bb38cc25de8b350de | d9b698e156c15bdc3da2190d20529e0acdf24190 | /entregable/script2.py | 096bd5a6367f2b9e6bbe68b8be07dccec8ddcfce | [] | no_license | turtlean/sistemas-tp1 | dc2fda54adb331a46962a59adc5867cc071f6e70 | e0769d4234fb412cd9ca8c860f5bdf969155cf28 | refs/heads/master | 2021-05-27T06:29:31.538873 | 2013-11-19T01:30:58 | 2013-11-19T01:30:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,046 | py | #! usr/bin/python
from matplotlib.pyplot import *
import sys
import time
import os
import math
import matplotlib.pyplot as plt
#./simusched <lote.tsk> <num_cores> <costo_cs> <costo_mi> <sched> [<params_sched>]
os.system("rm -rf experimento")
os.system("mkdir experimento")
#for plotting
ywt=[] #waiting times
yta=[] #... | [
"martin@martin-pc.(none)"
] | martin@martin-pc.(none) |
5e9e166be4bb079b5d0ce28085ede2532003ca6d | 0428aa38f62004e25134596c30280fa038f65f1d | /trigger_lambda_on_s3_put.py | 2ad68100488a42aaddafb2351b57700f48d7b608 | [] | no_license | smusongwe/s3 | fa762c1f4b62895a0c93055dbce7a2dd6ffef38c | 540aa034fd0afbe30b998b60db7ab6efaf8063d4 | refs/heads/main | 2023-01-19T03:25:22.171853 | 2020-12-01T00:34:29 | 2020-12-01T00:34:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 922 | py | import json
import urllib.parse
import boto3
print('Loading function')
s3 = boto3.client('s3')
def lambda_handler(event, context):
#1 - Get the bucket name
bucket = event['Records'][0]['s3']['bucket']['name']
#2 - Get the file/key name
key = urllib.parse.unquote_plus(event['Records'][0]... | [
"noreply@github.com"
] | smusongwe.noreply@github.com |
4cb017fbd99c77bd3a84cd8f89a44b62c7d24911 | 953eb11091193b2668cb71dd225ac80d86da0bc2 | /src/meron_background.py | 2d37a0076c413ed48a4322d583b0e2c2c6ad3a3f | [] | no_license | haugstve/use-watson-ml-python | e9f750a1daa85ba9f83b83d9690d95d1beeb3c9c | 6fcb2a2059c050de41286bdec90619f61e0fffa6 | refs/heads/master | 2020-08-10T14:21:14.586297 | 2019-10-11T11:34:25 | 2019-10-11T11:34:25 | 214,359,235 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 710 | py | import schedule
import time
import random
import json
from think_meron import aim_token, evaluate_meron_model
from path import processed_data_path, root
def job():
data_path = processed_data_path / 'payloads_meron.json'
with open(data_path, 'r') as f:
payloads = json.load(f)
token = aim_token()
... | [
"daniel.haugstvedt@gmail.com"
] | daniel.haugstvedt@gmail.com |
280a05ec34f5669a8ef15a8fd75fa5be7a8a3981 | 723c3e005d76db1cdc706b2169cc6cc441974201 | /PDF_Sales/Old_files/PDF_IND_Dates_Old/PDF_IND_Dates_2.py | 67caa425edbe7d0d1ed6ae4c752ca3cda8b8e0e1 | [] | no_license | GolovanPriherel/Python_Projects | 0b801d753efabbe0ca4a0d47bd532cc316024799 | 6108e10cefb05d521f8b4969fed57e92f61ab753 | refs/heads/main | 2023-08-28T10:59:35.320556 | 2021-10-13T20:44:33 | 2021-10-13T20:44:33 | 416,886,169 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,909 | py | import re, fitz, pytesseract, urllib.request
# ---- Работа с PDF
from PIL import Image
# Шаблоны поиска
patternsIND = [' IND ([0-9,]+)', ' IND Number.([0-9,]+)', ' IND No. ([0-9,]+)']
patternsINDDate = ['IND\D{4}(\d{1,2}.\d{1,2}.\d{1,4})', 'IND \d{5,6}..(\d{1,2}.\D+.\d{1,4})',
'IND\D{4}(\d{1... | [
"noreply@github.com"
] | GolovanPriherel.noreply@github.com |
ef2e1856553562a52e2e69951f8546c91328ccd8 | 5c41073897f791bc6915c874a9304d7d7f6c13db | /gravitate/domain/bookings/view_mediator.py | 853566c6ab0c9429b78407c69be23fce3ed1e7bc | [] | no_license | billyrrr/gravitate-backend | 5c8ce8b95607b06bd2d850b085e9129d9dc8632b | f1e98f0002046cb4c932f9f1badbdf2eb8af92d1 | refs/heads/master | 2023-05-11T10:58:07.871694 | 2020-05-07T23:04:50 | 2020-05-07T23:04:50 | 156,035,235 | 0 | 0 | null | 2020-01-19T02:32:39 | 2018-11-04T00:19:16 | Python | UTF-8 | Python | false | false | 4,130 | py | import time
from flask_boiler.utils import snapshot_to_obj
from flask_boiler.view.query_delta import ViewMediatorDeltaDAV, ProtocolBase
from google.cloud.firestore import DocumentSnapshot
from gravitate import CTX
from gravitate.domain.user import User
from . import RiderBooking, BookingStoreBpss, RiderTarget, RiderB... | [
"billrao@me.com"
] | billrao@me.com |
6ffd2e78972b8fd0b9f8b3259fae0c6b13ecaf63 | 0f3c7d268349336160d592eaa3acf56a1bb12cc2 | /reports/ISOPE_outline/create_latex_report.py | 42c30523f9cc8383a9d80aa0358fe68d4ba36499 | [
"MIT"
] | permissive | ramisetti/Prediction-of-roll-motion-using-fully-nonlinear-potential-flow-and-Ikedas-method | ac0f7eac820e5f381d1073bd52556ac313026727 | cce8abde16a15a2ae45008e48b1bba9f4aeaaad4 | refs/heads/main | 2023-05-19T05:54:41.448268 | 2021-06-11T09:48:15 | 2021-06-11T09:48:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 917 | py | import os.path
from src.notebook_to_latex import convert_notebook_to_latex
import reports
notebook_path = os.path.join(reports.path,'ISOPE_outline','01.1.outline.ipynb')
build_directory = os.path.join(reports.path,'ISOPE')
if not os.path.exists(build_directory):
os.mkdir(build_directory)
skip_figures=True
conv... | [
"marale@kth.se"
] | marale@kth.se |
ea147069bc358894d57aadf2f0981d4f2f8e0902 | 8d6418d8f813961318a962638467cdea5adec882 | /test.py | 4e4d2e798b46c69735d1b4597e4283d944ae03bd | [] | no_license | demakaituan/code | 6d7045d7a085ff843b636ecb3e88d9959f68d32e | 6578bc0dbd7018449e9f8c83f4fc5304126036a6 | refs/heads/master | 2021-01-21T14:04:26.549322 | 2016-05-30T08:54:51 | 2016-05-30T08:54:51 | 54,120,862 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,303 | py |
import unittest
import seuif97
class Region1_Test(unittest.TestCase):
def setUp(self):
self.tab5 = [[3, 300, 0.100215168e-2, 0.115331273e3, 0.112324818e3, 0.392294792, 4.17301218, 0.150773921e4],
[80, 300, 0.971180894e-3, 0.184142828e3, 0.106448356e3,
0.3685... | [
"599146992@qq.com"
] | 599146992@qq.com |
fe329d17aaaa67a21a1b92f02c926bb41085e379 | 28df0dfb458a3c0f37d5a597307017717f9b1cc3 | /auth_utils.py | 4880fdd53294b5dadd961c64186bd5575b88e666 | [] | no_license | dagou1992/flask | 5533aa7c48a98c561b4235cbfcc6675ebfd81471 | 67afd661e0d14a62c55789b844ae11e790ca531d | refs/heads/master | 2020-03-24T00:02:55.456559 | 2018-07-25T08:12:49 | 2018-07-25T08:12:49 | 142,269,991 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 732 | py | # coding: utf-8
from flask_login import LoginManager, UserMixin
from flask_login import login_user
from app import json_response_error
login_manager = LoginManager()
def init_auth(app):
login_manager.init_app(app)
class User(UserMixin):
def __init__(self, user):
self.info = user
def get_id(... | [
"jbq19920903@163.com"
] | jbq19920903@163.com |
3393ba44a415f8540c1fe8973955eef2de703ff1 | c211c25b0dde4435f09357880ac0db97c05fd9a7 | /Spider.py | 9575f749de3597014c98b646d7e53ddc7af3777c | [] | no_license | Monday666/maoyanSpider | 2abfd912a56afeef9563b9f6f4e18b3377fc4c7f | 68036975face7256d4b6286a325a28174943465c | refs/heads/master | 2020-03-31T07:10:07.798737 | 2018-10-08T02:58:28 | 2018-10-08T02:58:28 | 152,010,437 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,377 | py | import requests
from bs4 import BeautifulSoup
import re
import csv
def Gethtml(url):
"""
使用浏览器模拟的方式获取网页源码
:param url: 网页URL地址
:return:html
"""
# 将cookies字符串组装为字典
cookies_str = '__mta=208903469.1537876239606.1537966087518.1537966271718.11; uuid_n_v=v1; uuid=3851AE40C0B911E895764F985E386DE20... | [
"[18361233771@163.com]"
] | [18361233771@163.com] |
baba79af33bbf688b0cc90d14d78060c6b946973 | 3a771b72dae1aae406b94726bcbcf73915577b18 | /q56.py | e7701a5af9e0d8749ed043cc4977a73042423870 | [] | no_license | SHANK885/Python-Basic-Programs | 4fcb29280412baa63ffd33efba56d9f59770c9dc | 157f0f871b31c4523b6873ce5dfe0d6e26a6dc61 | refs/heads/master | 2021-07-18T18:24:10.455282 | 2018-11-19T07:02:27 | 2018-11-19T07:02:27 | 138,009,231 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 51 | py | unicodeString =u"Heello world"
print(unicodeString) | [
"shashankshekhar885@gmail.com"
] | shashankshekhar885@gmail.com |
41255f5976ab13155649263d540c618488794b94 | 08a329d07172a384be41eb58a0586032b18787d2 | /if1.py | c5867a5c4dee5850f5bb2049812193dbe20c31e6 | [] | no_license | atsuhisa-i/Python_study1 | 9bc39d058fe8bdd00adb35324758ad8fa08f4ca1 | 439a654f09e81208658355d99c8ce1c3cd4bcc4e | refs/heads/main | 2023-04-06T12:44:12.099067 | 2021-04-14T13:24:56 | 2021-04-14T13:24:56 | 348,309,405 | 0 | 0 | null | 2021-04-14T13:24:57 | 2021-03-16T10:45:48 | Python | UTF-8 | Python | false | false | 69 | py | number = '123456'
if number == '123456':
print('1st Prize:Money') | [
"atsuhisa.1124@gmail.com"
] | atsuhisa.1124@gmail.com |
6932b26cbfad7fb87ae3a6ac07694d091c54d719 | e35594083b7dfc15a8e790efa26fc36ac264ccce | /pages/base_page.py | 0583a1adc7f65adf2a1972a4236615998f514a99 | [] | no_license | quiprodest/testauto-study-project | 4f10bc8552fe8b8ca354bc856bab2ddcf76982e5 | b338ea8d83dfa046c38507e2524e47431d172b26 | refs/heads/master | 2021-06-19T16:46:40.660719 | 2019-07-30T12:43:27 | 2019-07-30T12:43:27 | 199,621,325 | 0 | 0 | null | 2021-04-20T18:26:23 | 2019-07-30T09:35:41 | Python | UTF-8 | Python | false | false | 496 | py | from selenium.common.exceptions import NoSuchElementException
class BasePage(object):
def __init__(self, browser, url): # , timeout=10
self.browser = browser
self.url = url
# self.browser.implicitly_wait(timeout)
def open(self):
self.browser.get(self.url)
def is_elemen... | [
"qui_p@tutanota.com"
] | qui_p@tutanota.com |
6f54f5939a8fda03c24dfa9d9dbe33c08f498424 | 096ccaca86872b03a137edf58221413073d770cb | /helpers/24_web_apis_sources.py | 0a219f85661a944bd17fb1db67075e5cf05ea372 | [] | no_license | DH-heima/webscrapping | f142962b50deed2628052dd7a48098a4afbcbada | 1dc8f81f45db0d4366391c3052c5ab36f4d4bc5d | refs/heads/master | 2022-02-02T23:26:22.520064 | 2019-06-13T13:38:10 | 2019-06-13T13:38:10 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,587 | py | import os
# from ers import shops, COLLECTION_DATE, web_apis_traffic_sources_csv, web_apis_traffic_sources_aggregates_csv
import os.path as op
import numpy as np
import pandas as pd
BASE_DIR = "/code/mhers"
WAVE_NUMBER = 8
shops = pd.read_excel(op.join(BASE_DIR, "ressources/ERS-referential-shops.xlsx"), index_col=No... | [
"pierre.chevalier@epitech.eu"
] | pierre.chevalier@epitech.eu |
06b52d5b79166ba67bb054b31a199bbe635cff9f | 62fb574c97c16645dc029b60014d48c88c1714df | /1 - 9/Problem 8.py | 49ca444c85e1107eb2aadd0a38c01cab8f952d6d | [] | no_license | kadirsefaunal/projectEuler | ee16faf3161961d4f2adec2ad5466ed7b3127713 | 710ad4112a4d3b7350f33c206db8baa60b5cf9a8 | refs/heads/master | 2021-01-01T06:34:58.613504 | 2017-07-21T13:56:42 | 2017-07-21T13:56:42 | 97,455,744 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,392 | py | def main():
sayi = "73167176531330624919225119674426574742355349194934969835203127745063262395783180169848018694788518438586156078911294949545950173795833195285320880551112540698747158523863050715693290963295227443043557668966489504452445231617318564030987111217223831136222989342338030813533627661428280644448664523... | [
"kadirsefau@gmail.com"
] | kadirsefau@gmail.com |
08ca6256aa20cb142ea6d49f2471e8c6aa0fec33 | 9021d47bb5a47cfd6704161c7db43585808f1d2b | /application.py | fe6c6a5c21031d4afd693e55c450d5d1180a3606 | [] | no_license | Mohamed24444/HW-todo-api | 456d6ad4b4e75b0dcbc9e5c990703b0c9c961d83 | 9db9efb587c1bb7864893e5811eeda3416d1322e | refs/heads/main | 2023-07-18T06:28:06.760694 | 2021-08-31T20:46:49 | 2021-08-31T20:46:49 | 400,887,854 | 0 | 0 | null | 2021-08-28T20:50:12 | 2021-08-28T20:50:12 | null | UTF-8 | Python | false | false | 2,998 | py | import helper
from flask import Flask, request, Response
import json
application = app = Flask(__name__)
@app.route('/')
def hello_world():
return 'Hello World!'
@app.route('/item/new', methods=['POST'])
def add_item():
# Get item from the POST body
req_data = request.get_json()
item = req_data['item... | [
"noreply@github.com"
] | Mohamed24444.noreply@github.com |
9a21127696172a92f9de67e17b6cab869625b037 | f25a62033ce864f9fd22cf85c9abf92a280fca01 | /CodersLab/MSP/buffor_23.10.2017/workspace/SCIAGA/D8_MySql_laczenie_relacje/__init__.py | 43f784fec55793c35338081529aea1f341bac558 | [] | no_license | AleksandraSandor/Learning-Python | e397a68e2a3e1103e537016c65a280c6b9a1a90d | 387befaadbb84a8d76961893208b504ddeccf0ce | refs/heads/master | 2020-04-11T09:46:23.425149 | 2018-02-04T17:03:43 | 2018-02-04T17:03:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,407 | py | # ===============================================================================
# MySql laczenie relacje
# ===============================================================================
from mysql.connector import connect
cnx = connect(user="root", password="1", host="localhost")
cur = cnx.cursor()
s... | [
"wojciech.gaudnik@gmail.com"
] | wojciech.gaudnik@gmail.com |
39784b00ffbcca86d07d92e619feaf2a638306a7 | ff81b6f0e467db2dde8afdf8370fae4bae179460 | /flaskapp-docker/flaskapp/setup.py | d9ae9d271b4cf8c9b708fd4af8d5733387fb17a4 | [
"MIT"
] | permissive | hammadyasir/my_flask_docker | c1ca66bf0be482de82e8fc4c9018fbb926524bc0 | ca142c0bac4ff99e6765630fb4b38e09142fd30a | refs/heads/main | 2023-06-27T06:28:02.711996 | 2021-07-22T14:03:46 | 2021-07-22T14:03:46 | 388,434,490 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 162 | py | from setuptools import setup
setup(
name='project',
packages=['project'],
include_package_data=True,
install_requires=[
'flask',
],
) | [
"49805944+hammadyasir@users.noreply.github.com"
] | 49805944+hammadyasir@users.noreply.github.com |
8a53b8e8eadc3fdb0cd8371ce351adebce79def2 | 0fc6370708a3407255a667f29095e287db2fb454 | /MockGvh/agentThread.py | fc31b2f25b3fd0f9404ea200f569b5ab4b715599 | [] | no_license | jzw2/KoordLanguage | 257af6a8175319cec5369126e168708bc5934baa | d0c56c0124c70e9dc61886080f09ffae7da9583a | refs/heads/master | 2020-05-30T08:28:30.936176 | 2019-07-26T19:13:33 | 2019-07-26T19:20:40 | 187,888,056 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,651 | py | import random
from abc import ABC, abstractmethod
class Pos():
pass
class AgentThread(ABC):
def __init__(self, config):
self._pid = config.pid
self._num_agents = config.num_agents
self._pos = (random.randrange(1, 10), random.randrange(1, 10))
self.shared_vars = config.shared... | [
"hc825b@gmail.com"
] | hc825b@gmail.com |
f7e2098e769e91b1838c62aee43d87264b9aa9cb | 052d6ac57f2026aba22249368149b18027c78342 | /frontstage_api/resources/register/confirm_organisation_survey.py | 6331b7150306a3ab3887cebaf9c1d5eb733780ca | [
"MIT"
] | permissive | ONSdigital/ras-frontstage-api | c34b41185cc825b49262c1879ad559778a54dbfc | 7bb32a85868e2a241b8a0331b884155a36450669 | refs/heads/master | 2018-07-15T00:35:22.130352 | 2018-06-01T14:09:13 | 2018-06-01T14:09:13 | 105,001,932 | 2 | 1 | MIT | 2018-06-01T14:09:14 | 2017-09-27T09:54:26 | Python | UTF-8 | Python | false | false | 1,917 | py | import logging
from flask import jsonify, make_response, request
from flask_restplus import Resource, fields
from structlog import wrap_logger
from frontstage_api import auth, register_api
from frontstage_api.controllers import case_controller, collection_exercise_controller, iac_controller, party_controller, survey_... | [
"noreply@github.com"
] | ONSdigital.noreply@github.com |
6c47ab3f00e510c29034f7c38073fbb1375a1270 | 2672228cd79938f112802a7d3c6209e907c46935 | /testsuite/tests/ui/devel/test_devel_smoke.py | 3a477c44d2a2e96d67c821889012d437d2b338e3 | [
"Apache-2.0"
] | permissive | Hchrast/3scale-tests | 82233d4015fc5ec9f1cad82ce411e6d48f3c056f | ab64592f1438a6cb878b81897164a0e495fed961 | refs/heads/main | 2023-08-27T21:04:35.108744 | 2021-11-08T10:08:59 | 2021-11-08T10:08:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,672 | py | """Developer portal smoke tests"""
import pytest
from testsuite import settings
from testsuite.ui.views.admin.audience import BaseAudienceView
from testsuite.ui.views.devel import BaseDevelView, AccessView, LandingView
@pytest.fixture(scope="module")
def provider_account(provider_account):
"""Fixture returns Pro... | [
"jsmolar@redhat.com"
] | jsmolar@redhat.com |
2c635e67dd79f81bcb26276f01d417fc9ebf8127 | 8baf2a9f9b11117e979b6629b8bbb8d7f3395f9a | /iohelp.py | eb5e6a94c52c9731850f20db1987bd588fbedb9d | [
"MIT"
] | permissive | holzfigure/hiveopolis_broodframe_background | b28de8b231e0299c886d8776e4e3ba18040dcc37 | dfe89300c00b0d459f71132b464092ec5d1ce656 | refs/heads/master | 2022-03-14T06:57:51.939327 | 2019-11-27T06:19:26 | 2019-11-27T06:19:26 | 219,782,785 | 0 | 0 | MIT | 2019-11-05T16:31:46 | 2019-11-05T15:47:36 | null | UTF-8 | Python | false | false | 22,641 | py | #!/usr/bin/env python3
"""A library of helpful functions.
Notably to set up output-folders safely, with time-stamped copies
of the source code included.
holzfigure 2019
"""
# import os
# import csv
import time
import math
import shutil
# import argparse
import logging
import logging.handlers
from path... | [
"daniel.hofstadler@uni-graz.at"
] | daniel.hofstadler@uni-graz.at |
135b320f762c1a45836db74f49c2c6bc2fe6c8fe | d5ed53c58da60caba413869572f7c4abb0e5f666 | /class_factorial.py | 89845687e40e9b96da1996073fc246e5a315afcc | [] | no_license | Me-Pri/Python-programs | e8269f06ef30e7360fda1fa4398577d4845b8fa6 | 96fa0d17e4de4a21640105b6387a483de652987f | refs/heads/main | 2023-01-31T14:04:33.327260 | 2020-12-17T06:38:54 | 2020-12-17T06:38:54 | 322,203,884 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 293 | py | class factorial:
no=0;
fact=1;
def input(self):
self.no=int(input("Enter the no of terms: "))
def factor(self):
for i in range(1,self.no+1):
self.fact=self.fact*i
print("The factorial of {0} is {1}".format(self.no,self.fact))
fac=factorial();
fac.input();
fac.factor(); | [
"noreply@github.com"
] | Me-Pri.noreply@github.com |
e1bb0830c777662e0bc15e9c46b3a760597a28be | 1e710f5ddc4d4b89ff601412e4a7e97d92423fe3 | /lesson_1/example_4.py | 609ef451896008c74c8f80517aaf02d220e649b0 | [] | no_license | Evgeniy-Nagornyy/Python_1 | b8b176eafa83d7c7962ee244a9cecef4bbb0b601 | 8ce10ea075f5336460e85a6d75e89e28f377d19f | refs/heads/master | 2022-10-22T09:23:52.062377 | 2020-06-10T13:27:23 | 2020-06-10T13:27:23 | 264,262,317 | 0 | 0 | null | 2020-06-09T23:32:21 | 2020-05-15T17:54:35 | Python | UTF-8 | Python | false | false | 1,521 | py | line_numbers = int(input('Введите положительное число - '))
check_number = line_numbers % 10 # Проверяемое число на максимум (очень не хватает цикла do while)
check_line_number = str(check_number) # проверочное число для выхода из цикла
max_number = 0 # Максимальное число
i = 1 # счетчик для передвижения
if line_nu... | [
"Evgeniy_kott@mail.ru"
] | Evgeniy_kott@mail.ru |
94ebbf777a68a1f870eb8d7132960630fcd5f534 | 7573bbf969a0b90ba9015a35b0ab59c29db4688f | /architectures/cnn_utils.py | 49b39fa00c4c11420eafaf715574aa4f712894ee | [] | no_license | Huetous/pytoss | 525adf877e5b6d1e089e718a814d0645a2890b12 | 329ac86bc7f6289cba6e25c0b9df6cfc0eb00eb8 | refs/heads/master | 2023-05-05T21:26:13.495008 | 2021-05-27T02:30:42 | 2021-05-27T02:30:42 | 335,869,580 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 809 | py | import torch.nn as nn
def init_cnn(module):
if getattr(module, "bias", None) is not None:
nn.init.constant_(module.bias, 0)
if isinstance(module, (nn.Conv2d, nn.Linear)):
nn.init.kaiming_normal_(module.weight)
for m in module.children():
init_cnn(m)
def conv(n_in, nf, ks=3, str... | [
"daddudota22@mail.ru"
] | daddudota22@mail.ru |
732875b53794690f71a61540b24b81ee5edee29e | 75e2e9a6fcb2962a9502bf5c3237db35fd62d9da | /web_indexer_starter.py | a50c9220eb694b1f06745e40104181050539bf12 | [] | no_license | undefinedobjects/web_indexer.py | 6a41508fe050b58858b5e9645e41c7adde1f7f96 | c031a29fd8ba7930b7be36bdcf1b9a3d1dc5c1a7 | refs/heads/master | 2023-03-02T23:28:24.635419 | 2021-02-15T11:21:51 | 2021-02-15T11:21:51 | 272,031,613 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 199 | py | import os
for number in range(90,100):
start = "172." + str(number) + ".0.0"
end = "172." + str((number + 1)) + ".0.0"
os.system("start web_indexer.py -s " + start + " -e " + end)
| [
"noreply@github.com"
] | undefinedobjects.noreply@github.com |
998358bbb4e00e3a37420a1318e0751c5ae23214 | edeb309cefeddfaac8dbad653a71f32d97a29d35 | /FireModules/Websurfing/google_search_deleting_files.py | f6540aeef174471b43e0493f53af5b2dd6897f27 | [
"MIT"
] | permissive | alex14324/DumpsterFire | 746c0b42734abb3a8539bdb96477d6a6488d3079 | 58a6b94d4beadb43776610bbb3bcb2a2416efe8a | refs/heads/master | 2020-08-07T05:33:15.058377 | 2019-10-07T07:23:40 | 2019-10-07T07:23:40 | 213,318,310 | 0 | 0 | MIT | 2019-10-11T04:39:20 | 2019-10-07T07:15:49 | Python | UTF-8 | Python | false | false | 1,270 | py | #!/usr/bin/python
#
# Filename:
#
# Version: 1.0.0
#
# Author: Joe Gervais (TryCatchHCF)
#
# Summary:
#
# Part of the DumpsterFire Toolset. See documentation at https://github.com/TryCatchHCF/DumpsterFire
#
#
# Description:
#
#
# Example:
#
#
import urllib, time, random
from FireModules.fire_module_base_class impo... | [
"noreply@github.com"
] | alex14324.noreply@github.com |
b0e53f0386e068a848db093380db2c99a669e4ea | 5f4cf695ffa0460aa42d245b77cbe273d249bd9c | /lists/tests.py | c23480c4e2089804ef59e85ce28fc7ffb23b2c88 | [] | no_license | codebleeder/superlist | d616ad77f601ac28db9f075fb8f4547534927b27 | fc850ab7d4f8bea90805a79117509726ae323192 | refs/heads/master | 2021-01-10T13:10:02.072566 | 2015-12-30T09:00:13 | 2015-12-30T09:00:13 | 48,778,923 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 287 | py | from django.test import TestCase
from django.core.urlresolvers import resolve
from lists.views import home_page
# Create your tests here.
class HomePageTest(TestCase):
def test_root_url_resolves_to_home_page_view(self):
found = resolve('/')
self.assertEqual(found.func, home_page) | [
"sharad.shivmath@gmail.com"
] | sharad.shivmath@gmail.com |
97d8d09c16f1edd913cb3db8bb84efd98193c1b5 | fb41b080244208be9aedfeed517c93289ca0ecca | /files/shop/migrations/0030_delete_kurs_d.py | f70850f386c5e18501cb5637dd5953982618d2a6 | [] | no_license | EddieMorra/mebli | 8824b7943f81a7738dea3f65397e97e9e98f0f62 | a3b3ba7aa0abc82ab688f53263dd7a3a6164c1f6 | refs/heads/master | 2022-12-12T01:37:27.306728 | 2020-04-06T17:36:48 | 2020-04-06T17:36:48 | 253,088,733 | 0 | 0 | null | 2022-12-08T04:00:04 | 2020-04-04T20:03:54 | JavaScript | UTF-8 | Python | false | false | 295 | py | # Generated by Django 3.0.2 on 2020-03-28 02:57
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('shop', '0029_remove_product_kurs_d'),
]
operations = [
migrations.DeleteModel(
name='Kurs_d',
),
]
| [
"rom4egful@gmail.com"
] | rom4egful@gmail.com |
d8cb4d738e3fca2d4ddb17040fa4fe5a789e0334 | 63e2bed7329c79bf67279f9071194c9cba88a82c | /SevOneApi/python-client/test/test_flow_falcon_visualization.py | 51a57732e471078c158cccc29b73d4aae5586ecf | [] | no_license | jsthomason/LearningPython | 12422b969dbef89578ed326852dd65f65ab77496 | 2f71223250b6a198f2736bcb1b8681c51aa12c03 | refs/heads/master | 2021-01-21T01:05:46.208994 | 2019-06-27T13:40:37 | 2019-06-27T13:40:37 | 63,447,703 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 977 | py | # coding: utf-8
"""
SevOne API Documentation
Supported endpoints by the new RESTful API # noqa: E501
OpenAPI spec version: 2.1.18, Hash: db562e6
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import swagger_client
... | [
"johnsthomason@gmail.com"
] | johnsthomason@gmail.com |
6464b7dec09ac442b5f4aa129661e465bc584d1b | bbd44d1f91bf1ed83778bf5086b9fa625794849c | /test2.py | 69b16dc8ba9c36cb9c54fead66cd5bbe9fc83cc5 | [] | no_license | hyperloop11/flask-blog | a1c1175653a2183285d737a119021a1ab6a72519 | a701f3995a96da72da6dbff2c024265cc9438f35 | refs/heads/main | 2023-03-03T19:02:38.717568 | 2021-02-15T17:59:26 | 2021-02-15T17:59:26 | 335,084,219 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 116 | py | from test1 import age
class Person:
p_age = age
def __init__(self, name):
self.name = name
| [
"shirin.kaul11@gmail.com"
] | shirin.kaul11@gmail.com |
8b69611ea55eff694e4f24935e45e153a3593a8b | fbd9cf0b31e5d433b1d2d7dfe562a660d60d27de | /taskmanager_app/migrations/0001_initial.py | 23410d47e27a30020cf91198ba0ddd1c98b785c6 | [] | no_license | pragatisinghdev/taskmanager | b18c8f8323031e583a990aa62b0bc282a7f592c3 | 64daa154be39285996aeb4c94e58c01e49b5fbc6 | refs/heads/master | 2020-09-12T11:54:33.437867 | 2019-12-28T17:29:52 | 2019-12-28T17:29:52 | 222,417,127 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,247 | py | # Generated by Django 2.2.5 on 2019-12-27 05:25
from django.db import migrations, models
import taskmanager_app.models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='User',
fields=[
... | [
"psingh@endosoft.com"
] | psingh@endosoft.com |
60b4a65b29fce7b704390b16827b172a69b43b49 | 00105bf59b9f4b250fdcc33c01aef954173fd4a3 | /7. Linear_Regression/Linear Regression.py | e7232e2263e99d9bae5b2ce670d43dccf0c8bd9c | [] | no_license | up-data-science/ML_1_Exercise | 7305410e25b159813c70dc05141c9dee2f75b189 | 417ede59dd32370b30b0fc5b8305f71da6a5774d | refs/heads/master | 2020-06-28T16:15:53.243595 | 2019-08-02T18:18:31 | 2019-08-02T18:18:31 | 200,279,229 | 1 | 3 | null | null | null | null | UTF-8 | Python | false | false | 4,130 | py |
# coding: utf-8
# # Linear Regression
#
# In this tutorial we will implement a linear regression model. We will also implement a function that splits the available data into a training and a testting part.
#
# ## Problem Setting
#
# We will use the Boston Housing Dataset. This dataset contains information... | [
"noreply@github.com"
] | up-data-science.noreply@github.com |
a507e0c2ed7cc0b1606723d494231252e4ea77cc | ef0f296e4615d3e2109e4b906a81cc4ba24b2b29 | /fusuma/Fusuma/DataMan.py | b65f16ad2cf1119ad280760c9722ffb77933ba67 | [] | no_license | hylom/fusuma | 48504235db0fb086ecda3d711c510c700207fe42 | 0d776ae29f56826c33942fae17c45468b8353a09 | refs/heads/master | 2021-01-23T19:45:49.387978 | 2009-06-23T16:52:21 | 2009-06-23T16:52:21 | 159,778 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,424 | py | #!/usr/bin/env python
#######################################################################
# This file is part of Fusuma website management system.
#
# Copyright (c) hylom <hylomm at gmail.com>, 2008.
#
# This file is released under the GPL.
#
# $Id: DataMan.py,v 1.1.1.1 2008/11/27 17:15:36 hylom Exp $
############... | [
"hylom@users.sourceforge.jp"
] | hylom@users.sourceforge.jp |
53afd2bce9ba50e5033d6390c1079e0d1ae46806 | 87eae6cd14dd360d6d8b8e78e6e1e9952d6cd0c1 | /p5.py | 424933937bbb58f010d4b44920badcd8fe10f517 | [] | no_license | karthikgvsk/project-euler | afd8a62b6067d2236a9a6b58b0ed01c23136c5e3 | 01e562a97b5c9cd03e19fbea29a63fc0bfcaac46 | refs/heads/master | 2020-04-25T21:18:19.061986 | 2013-06-08T17:23:24 | 2013-06-08T17:23:24 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 567 | py | #smallest multiple
#2520 is the smallest number that can be divided by each of the numbers from#1 to 10 without any remainder.
#
#What is the smallest positive number that is evenly divisible by all of the#numbers from 1 to 20?
from math import log
def primelist(n):
l = [0] * (n + 1)
p = 2
while p <= n:
q = 2
w... | [
"karthikgvsk@gmail.com"
] | karthikgvsk@gmail.com |
a35d8d4bfeb2701f3c8a5b9ffc1d88786aa08395 | 41106cdb25e50720dd7e06c2a9cfea5928a42c6c | /scripts/convert/converter/convert_caffe2.py | 17275491fa576107a2b251d691d776863ed6f85b | [
"Apache-2.0"
] | permissive | judgeeeeee/klever-model-registry | 58edb1da904667d429bb35b3ebeaa3361e860364 | 7ae97a4babf0861132976494fc8ac04ca40d4af3 | refs/heads/master | 2023-02-22T22:47:01.736458 | 2020-12-03T06:25:24 | 2020-12-03T06:25:24 | 317,134,591 | 0 | 1 | Apache-2.0 | 2020-11-30T06:46:06 | 2020-11-30T06:46:05 | null | UTF-8 | Python | false | false | 1,877 | py | import os
import json
import argparse
import numpy as np
import onnx
import caffe2.python.onnx.frontend
from caffe2.proto import caffe2_pb2
from .base_convert import BaseConverter
INIT_NET = 'init_net.pb'
PREDICT_NET = 'predict_net.pb'
DEL_ATTR = 'ws_nbytes_limit'
MODEL_NAME = 'model.onnx'
def del_attr(netdef):
... | [
"noreply@github.com"
] | judgeeeeee.noreply@github.com |
3bafddf779602141a9656eb0ef245fd5e9719bcd | f5752707e33e456adecb1f6f20f8bcb53f320adf | /Utility_Scripts/USGS2018_spectrum.py | f43787449ac48dd70da6ef41c4546f2c56eb2704 | [] | no_license | alborzgh/Work_Scripts | 4eb22f39d3ff1377a2f2fab629f65b359fda250a | 7aa3a2e5853a4b5c050be72df3056c3fdf60dd6e | refs/heads/master | 2022-12-06T08:48:50.673196 | 2020-07-15T20:06:36 | 2020-07-15T20:06:36 | 276,767,977 | 0 | 1 | null | 2020-07-15T20:06:37 | 2020-07-03T00:02:10 | Python | UTF-8 | Python | false | false | 3,870 | py | import numpy as np
import matplotlib.pylab as plt
from io import BytesIO
from io import StringIO
from zipfile import ZipFile
from scipy.interpolate import interp2d
from scipy.interpolate import interp1d
site_classes = {
'A/B':{'Vs30':1500, 'name':'AB'},
'AB':{'Vs30':1500, 'name':'AB'},
'B'... | [
"alborzgh@uw.edu"
] | alborzgh@uw.edu |
5038904bb1fd03747bf1c26a2daa2a87b5a5bcd8 | fee88a67d4706bddb8999ce2701315c5f62f6e78 | /onmt/modules/extensions/mlp/mlp_gelu.py | a1a1d998fa59cc0685f65e54bba7b2fe97e1aee0 | [
"MIT"
] | permissive | Dan-hbd/NMTGMinor | 5cade7d3b6de83cc45a618ab59420274bcd86f15 | 84e59ac8391ee78852d7c71afc60c3c8b8e3d44d | refs/heads/master | 2023-05-30T16:22:58.148920 | 2021-06-15T14:28:48 | 2021-06-15T14:28:48 | 372,408,488 | 0 | 0 | NOASSERTION | 2021-05-31T06:44:22 | 2021-05-31T06:44:22 | null | UTF-8 | Python | false | false | 15,164 | py | from copy import copy, deepcopy
import math
import torch
from torch import nn
import torch.nn.functional as F
import unittest
from time import time
import numpy as np
import random
import silu_cuda
try:
import apex.amp as amp
from apex.amp import half_function
except (ModuleNotFoundError, ImportError) as e:
... | [
"quanpn90@gmail.com"
] | quanpn90@gmail.com |
6dd47cf9abf6588f76b33b1300c80b06fe34f86b | 304e75224229786ba64c6ef2124007c305019b23 | /src/easy/test_build_array_from_permutation.py | 8fd8efbd03f279c3c5d2f1ed987d934e5687eadc | [] | no_license | Takuma-Ikeda/other-LeetCode | 9179a8100e07d56138fd3f3f626951195e285da2 | 499616d07011bee730b9967e9861e341e62d606d | refs/heads/master | 2023-04-14T06:09:35.341039 | 2023-04-10T02:29:18 | 2023-04-10T02:29:18 | 226,260,312 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 637 | py | import unittest
from answer.build_array_from_permutation import Solution
class TestSolution(unittest.TestCase):
def setUp(self):
self.nums = [
[0, 2, 1, 5, 3, 4],
[5, 0, 1, 2, 3, 4],
]
self.answers = [
[0, 1, 2, 4, 5, 3],
[4, 5, 0, 1, 2, 3],... | [
"el.programdear@gmail.com"
] | el.programdear@gmail.com |
e65ee592dfffea41e8966e5f2acf9d9b8c7f9a31 | ee3ba2af93581aaca5a1393f3eb22fa794be2a12 | /app/main/form.py | fa863b1c847180707fef5db9f10b6ed3d97e222f | [] | no_license | wbchief/myflask | 303ed98c969c58a07953aa37c28f90ace3b9a284 | a4d82bc80df84cb7e418058de3519c29e29db7f1 | refs/heads/master | 2020-03-30T23:48:10.771252 | 2018-10-14T09:56:17 | 2018-10-14T09:56:17 | 151,713,761 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,266 | py | from flask_pagedown.fields import PageDownField
from flask_wtf import FlaskForm
from wtforms import StringField, TextAreaField, SubmitField, BooleanField, SelectField
from wtforms.validators import Length, DataRequired, Email, ValidationError
from app.models import User, Role
class EditProfileForm(FlaskForm):
''... | [
"712640388@qq.com"
] | 712640388@qq.com |
6e55abddbe446bbbe2e2f07ae0edd692a27197ed | b3ac12dfbb8fa74500b406a0907337011d4aac72 | /goldcoin/full_node/weight_proof.py | c12b097a836dbee13ac9816cccf3f9361015586b | [
"Apache-2.0"
] | permissive | chia-os/goldcoin-blockchain | ab62add5396b7734c11d3c37c41776994489d5e7 | 5c294688dbbe995ae1d4422803f6fcf3e1cc6077 | refs/heads/main | 2023-08-11T23:58:53.617051 | 2021-09-12T15:33:26 | 2021-09-12T15:33:26 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 67,454 | py | import asyncio
import dataclasses
import logging
import math
import random
from concurrent.futures.process import ProcessPoolExecutor
from typing import Dict, List, Optional, Tuple
from goldcoin.consensus.block_header_validation import validate_finished_header_block
from goldcoin.consensus.block_record import BlockRec... | [
"faurepierre78@yahoo.com"
] | faurepierre78@yahoo.com |
393fe84cca759b9236a600d0c71f10ffda0a904a | fc78f7cfa4e63e5d6df787d4bd5ba58d50ac2895 | /manage.py | 81154eb46b1ff68007a6fa716702021e1dc4c026 | [] | no_license | Erecik1/boostingweb | d608c109d61d4e2f0badd9af5477e10f4b780291 | e0032c039b1a527dccc76a4b1cf5e04355001aa3 | refs/heads/master | 2023-08-01T03:43:19.992022 | 2021-09-22T22:03:19 | 2021-09-22T22:03:19 | 405,763,170 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 661 | 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', 'tipsy.settings')
try:
from django.core.management import execute_from_command_line
except Import... | [
"eret112@gmail.com"
] | eret112@gmail.com |
81aee84f897fcf6c6ae6f9a8c473d7c9123dda6d | e6db96ae32326be9b448f4c3bff158a295036571 | /tensorFlowStudy/classification_test.py | 95c54c9b0eba777168868053a5ce2ffcab877578 | [] | no_license | houweitao/TensorFlow | f2e65285f01b52df282bdecc2e01e2e30e3b9b43 | d8a70592dde70e37f47aae2649b3003b746188f7 | refs/heads/master | 2021-01-12T14:59:27.935750 | 2017-01-13T07:48:34 | 2017-01-13T07:48:34 | 71,659,930 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,046 | py | # -*- coding: utf-8 -*-
# _author_ = 'hou'
# _project_: classification_test
# _date_ = 16/10/23 下午4:15
# https://www.youtube.com/watch?v=aNjdw9w_Qyc&index=17&list=PLXO45tsB95cKI5AIlf5TxxFPzb-0zeVZ8
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
import add_layer as layer
# data http... | [
"hou103880@163.com"
] | hou103880@163.com |
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