index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
9,300 | f5a474cdc8aa22322b252b980c0334a9db21bd5c | # -*- coding: utf-8 -*-
"""
Created on Thu Nov 8 17:14:14 2018
@author: Winry
"""
import pandas as pd
# 显示所有的列
pd.set_option('display.max_columns', None)
# 读取数据
file_name = "data_11_8.csv"
file_open = open(file_name)
df = pd.read_csv(file_open)
file_open.close()
Newtaxiout_time = df['Newtaxiout_time']
time = df['t... |
9,301 | 244191087fcab2a6f03bf024708484b9838731ed | import sys
import pygame
import os
import random
import subprocess
FPS, NEWENEMYSPAWN, fst_spawn, not_paused, coins, enemies_count, killed, score = 50, 30, 2000, True, 0, 0, 0, 0
MiniG_rate, EnemyG_rate, MetalM_rate = 1, 5, 15
WEAPONS_LIST = ['Green laser gun', 'Purple laser gun', 'Plasma gun']
def load_i... |
9,302 | 2d48a343ca7f0f8ba7de8b520aad71d774d9b4ba | # Copyright (c) 2016 EMC Corporation
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... |
9,303 | b7687240413441e1d3ed0085e5953f8089cbf4c9 | # Generated by Django 2.1.7 on 2020-01-09 08:19
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('goods', '0004_auto_20200109_0713'),
]
operations = [
migrations.AlterField(
model_name='banner',
name='show_type',
... |
9,304 | a9ea3db019435733b5782d69450942373bb828e5 | def calc(*numbers):
sum=0
for n in numbers:
sum=sum+n*n
return sum
print(calc(*[1,2,3])) |
9,305 | e99cf5a7058db984b323af1375003e4e21e36612 | import random
from connectfour.agents.monte_carlo import Node, MTCS
from connectfour.agents.agent import Agent
MAX_DEPTH = 3
class MonteCarloAgent(Agent):
def __init__(self, name):
super().__init__(name)
def get_move(self, board):
best_move = self.find_best_move(board)
return self._... |
9,306 | 9e814e3f1162e248c5d778c2df9960b199854a27 | n = int(input('Informe um numero: '))
print('----------------')
print('{} x {:2} = {:2}'.format(n, 1, 1*n))
print('{} x {:2} = {:2}'.format(n, 2, 2*n))
print('{} x {:2} = {:2}'.format(n, 3, 3*n))
print('{} x {:2} = {:2}'.format(n, 4, 4*n))
print('{} x {:2} = {:2}'.format(n, 5, 5*n))
print('{} x {:2} = {:2}'.format(n, 6... |
9,307 | 1cb320cf57823511b0398adce097b770b2131eb6 | import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'ecommerce.settings.development')
application = get_asgi_application()
|
9,308 | 88d0ced41a8f176a8a12bba6406b4162ea6dfc52 | import sqlite3
# cur.execute('CREATE TABLE admin(username TEXT,password TEXT)')
# conn.commit()
# cur.execute("INSERT INTO admin VALUES('nilesh','nilesh')")
# conn.commit()
def verif_admin(username, password):
try:
conn = sqlite3.connect('SuperMarket.db')
cur = conn.cursor()
print(usernam... |
9,309 | 7e29220752b4a52be34cdf0c734695d1052d0414 | '''
Handprint module for handling credentials.
Authors
-------
Michael Hucka <mhucka@caltech.edu> -- Caltech Library
Copyright
---------
Copyright (c) 2018-2022 by the California Institute of Technology. This code
is open-source software released under a 3-clause BSD license. Please see the
file "LICENSE" for mor... |
9,310 | a75691af17f6d1effd469d5c2ded340c71521ee1 | from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.views import LoginView
from django.shortcuts import render
from django.views import View
from django.views.generic import CreateView
from resume.forms import NewResumeForm
from vacancy.forms import NewVacancyForm
class MenuView(View):
... |
9,311 | ca7b3b5df860d3c3fb0953857ad950affdcc671d | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('location', '0005_auto_20170303_1625'),
]
operations = [
migrations.RemoveField(
... |
9,312 | 499baaa8c739c1bd846edc944e510542d76bbed5 | from collections import deque
def my_queue(n=5):
return deque([],n)
pass
if __name__ == '__main__':
mq = my_queue()
for i in range(10):
mq.append(i)
print((i, list(mq)))
"""Queue size does not go beyond n int, this outputs:
(0, [0])
(1, [0, 1])
(2, [0, 1, 2])
(3, ... |
9,313 | d2754099adebdb4bd2b028fdf9015571ad773754 | """
챕터: day4
주제: 반복문(for문)
문제: 1에서 100까지 합을 구하여 출력하시오.
작성자: 한현수
작성일: 2018.9.20.
"""
result = 0
for i in range(101):
result += i
print(result) |
9,314 | 3c7280bbd23bd3472915da0760efbfd03bfe995d | # # -*- coding:utf-8 -*-
import sys
reload(sys)
sys.setdefaultencoding( "utf-8" )
import urllib
import urllib2
import cookielib
from excel import *
from user import *
List=[]
cookie = cookielib.CookieJar()
opener = urllib2.build_opener(urllib2.HTTPCookieProcessor(cookie))
postdata = urllib.urlencode({'zjh':user(0),'mm... |
9,315 | 757a69f9ceaa3434c6d9f8b1fcdbadd991190f29 | # encoding = utf-8
import hmac
import time
from hashlib import sha1
def get_signature(now_):
# 签名由clientId,grantType,source,timestamp四个参数生成
h = hmac.new(
key='d1b964811afb40118a12068ff74a12f4'.encode('utf-8'),
digestmod=sha1)
grant_type = 'password'
client_id = 'c3cef7c66a1843f8b3a9e6a... |
9,316 | f276e33cde2e043fc8f81403e499544aa816a639 | class Member:
not_allowed_name = ["Shit", "Hell", "Baloot"]
users_num = 0
def __init__(self, first_name, middle_name, last_name, gender):
self.fname = first_name
self.mname = middle_name
self.lname = last_name
self.gender = gender
Member.users_num += 1
@classm... |
9,317 | 9d190face528d1a237f4c92bfb94a399f61a5af2 | import csv
import Feature_extraction as urlfeature
import trainer as tr
import warnings
warnings.filterwarnings("ignore")
def resultwriter(feature, output_dest):
flag = True
with open(output_dest, 'w') as f:
for item in feature:
w = csv.DictWriter(f, item[1].keys())
if flag:
... |
9,318 | 282bccf20cfb114e31c5465c110819796bf81bc0 | from types import *
class Tokenizer:
def __init__(self, buf):
self.buf = buf
self.index = 0
def token(self):
return self.buf[self.index]
def move(self, value):
self.index += value
def skip_whitespaces(self):
while self.index < len(self.buf) and self.token().... |
9,319 | 9fff345dedcfc7051a258bc471acf07aece95bcf | import sys
from photo_dl.request import request
from photo_dl.request import MultiRequest
class Jav_ink:
def __init__(self):
self.parser_name = 'jav_ink'
self.domain = 'https://www.jav.ink'
self.album_flag = {}
@staticmethod
def category2albums(category_url):
category_url ... |
9,320 | e714755d660ba809f7958cad4f0b9f95b0a0ffdc | from django.apps import AppConfig
class SmashbotspainConfig(AppConfig):
name = 'smashbotspain'
|
9,321 | 795bd22fb805069b342915638c52900ea52a4939 | from UI.Window import Window
class PolygonApplication:
def __init__(self):
self.window = Window("Détermination des périmètre, surface et centre de gravité d'un polygone")
self.window.addMouseClickListener(self.window.onClick)
def start(self):
self.window.show()
|
9,322 | bffd211a2d2dc3dd9b596f69909be7f0437ab0c8 | import nltk
tw_dict = {'created_at':[],
'id':[],
'id_str':[],
'full_text':[],
'entities':[],
'source':[],
'user':[],
'lang':[]}
def Preprocessing(instancia):
# Remove caracteres indesejados.
instancia = re... |
9,323 | 842f8b4de0378a2c83d22f3fd54ba4857d249597 | PRECISAO = 3
MAX_ITER = 20
def gauss_jacobi(entrada,*valores_iniciais):
tamanho = len(entrada[0])
variaveis = [*valores_iniciais[:tamanho]]
variaveism1 = [None] * (tamanho-1)
for _ in range(0,MAX_ITER):
print(variaveis)
for linha in range(tamanho-1):
soma = 0
for coluna in range(... |
9,324 | 9bd6da909baeb859153e3833f0f43d8cbcb66200 | # coding=utf-8
import sys
if len(sys.argv) == 2:
filepath = sys.argv[1]
pRead = open(filepath,'r')#wordlist.txt
pWrite = open("..\\pro\\hmmsdef.mmf",'w')
time = 0
for line in pRead:
if line != '\n':
line = line[0: len(line) - 1] #去除最后的\n
if line == "sil ":
... |
9,325 | 65bfb59a255b42854eec8b55b28711737cfc46c2 | #basic API start
from flask import Flask, jsonify, abort, request
from cruiseItem import cruiseItem
from sqlalchemy import create_engine
from json import dumps
db_connect = create_engine('sqlite:///Carnivorecruise.sqlite')
app = Flask(__name__)
app.json_encoder.default = lambda self, o: o.to_joson()
app.app_c... |
9,326 | f9310aa6c26ec10041dac272fa17ac21f74c21ac | # -*- coding: utf-8 -*-
from wordcloud import WordCloud, ImageColorGenerator
import numpy as np
from PIL import Image
def word2cloud(text: str, mask_image: Image=None):
if mask_image == None:
wc = WordCloud(font_path='simhei.ttf', width=800, height=600, mode='RGBA',
background_color=... |
9,327 | f23bc0c277967d8e7a94a49c5a81ed5fb75d36cc | from mpi4py import MPI
import matplotlib
from tmm import coh_tmm
import pandas as pd
import os
from numpy import pi
from scipy.interpolate import interp1d
from joblib import Parallel, delayed
import numpy as np
import glob
import matplotlib.pyplot as plt
import pickle as pkl
import seaborn as sns
from scipy.optimize im... |
9,328 | 83bbb6433d1577be869bf840bdd42aa86e415da6 | from flask import Flask, render_template
app = Flask(__name__)
@app.route("/")
def index():
headline = "Hello world from a variable!"
# headline de la izq es el nombre de la variable en la vista
# headline de la der es el nombre de la variable en el server
return render_template("index.html", headline... |
9,329 | 1158ab95ac67d62459284267a8cc9f587daf89b1 | from zipfile import ZipFile
import reference_new_stdds
import reader
import os
def runall(path):
print("==========================")
"""get the current path """
abs_file_path = os.path.abspath(__file__)
parent_dir = os.path.dirname(abs_file_path)
parent_dir = os.path.dirname(parent_dir)
""" ... |
9,330 | 39fb8d9f93be1e6c1ed2a425d14061737d643ab6 | from .hailjwt import JWTClient, get_domain, authenticated_users_only
__all__ = [
'JWTClient',
'get_domain',
'authenticated_users_only'
]
|
9,331 | 94348aed0585024c70062e9201fb41aae2122625 | # NumPy(Numerical Python) 是 Python 语言的一个扩展程序库，
# 支持大量的维度数组与矩阵运算，此外也针对数组运算提供大量的数学函数库。 |
9,332 | 13e89e13f88ac306a62be3390f5292665f128a4d | #encoding: utf-8
"""
Desc:
Author: Makoto OKITA
Date: 2016/09/03
"""
import numpy as np
import chainer
from chainer import cuda, Function, gradient_check, Variable, optimizers, serializers, utils
from chainer import Link, Chain, ChainList
import chainer.functions as F
import chainer.links as L
import itertools
... |
9,333 | 1983340b3ce7ba8b631ba090871bea1ef7044943 |
import sys
from pypsi.pipes import ThreadLocalStream
from pypsi.shell import Shell
from pypsi.core import pypsi_print
from nose.tools import *
class PypsiTestShell(Shell):
pass
class TestShellBootstrap(object):
def setUp(self):
self.real_stdout = sys.stdout
self.real_stderr = sys.stderr
... |
9,334 | 88d8d04dd7117daed0e976f3abc52c5d7bf18434 | import logging
import os
from os.path import exists, abspath, join, dirname
from os import mkdir
os.environ["MKL_NUM_THREADS"] = "1"
os.environ["MP_NUM_THREADS"] = "1"
from smallab.runner_implementations.multiprocessing_runner import MultiprocessingRunner
from plannin_experiment import PlanningExperiment
mpl_logger ... |
9,335 | ccb3ec8e367881710c437e7ae53082a1bb0137e5 | from pylab import *
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cbook as cbook
import random
import time
from scipy.misc import imread
from scipy.misc import imresize
import matplotlib.image as mpimg
import os
from scipy.ndimage import filters
import urllib
import sys
from PIL import Image
fro... |
9,336 | 8e71ea23d04199e8fb54099c404c5a4e9af6c4b1 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy import stats
import datetime
#takes in a sorted data frame holding the actuals, the predicted values (sorted descending) and the percentile of each obsevation
#and returns a new dataframe with all of the appropriate calculations
... |
9,337 | c0c8f40e43f1c27f8efa47cfc366c6076b77b9c9 | import sys
minus = "-"
plus = "+"
divis = "/"
multi = "*"
power = "^"
unary = "-"
br_op = "("
br_cl = ")"
operations = [power, divis, multi, minus, plus]
digits = ['1','2','3','4','5','6','7','8','9','0','.']
def find_close_pos(the_string):
open_count = 0
close_count = 0
for i in range(len(the_string)):
if the... |
9,338 | 2027904401e5be7b1c95eebec3a1e6a88c25660c | from Socket import Socket
import threading
class Server(Socket):
def __init__(self):
super(Server, self).__init__()
print("server listening")
self.users = []
def set_up(self):
self.bind(("192.168.0.109", 1337))
self.listen(0)
self.accept_sockets()
def sen... |
9,339 | 00ed68c68d51c5019fde0c489cd133be3d6985c3 | # -*- coding: utf-8 -*-
"""
Created on Fri Aug 21 12:39:59 2015
@author: user
Needs to be run after the basic analysis which loads all the data into workspace
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
def AverageLeftRight(EyeData):
#Take the average of two eyes to get more accurate gaz... |
9,340 | 56e8cdec854b3b7a2f925e70d7d59a73b76f9952 | from collections import defaultdict
from mask import Mask
from utils import bits_to_decimal
def get_program(filename):
program = []
mask = None
with open(filename, 'r') as f:
for line in f:
line = line[:-1]
if 'mask' in line:
if mask is not None:
... |
9,341 | 39475626b7e3e0f4c8143b300c002a2eb50cc23a | """Gaussian mixture model, with Stochastic EM algorithm."""
import numpy as np
from sklearn.mixture.gaussian_mixture import _estimate_gaussian_parameters, _compute_precision_cholesky
from Core.gllim import MyGMM
class SEMGaussianMixture(MyGMM):
"""Remarque : on utilise la variable Y pour les observations, au li... |
9,342 | f1fdba1c07a29aa22ee8d0dcbd6f902aa2e8b4c2 | from django.shortcuts import render, HttpResponse, redirect
from ..login.models import *
from ..dashboard.models import *
def display(request, id):
context = {
'job': Job.objects.get(id=int(id))
}
return render(request, 'handy_helper_exam/display.html', context)
|
9,343 | df19aa720993c2385a6d025cf7ec8f3935ee4191 | ####################################################################
# a COM client coded in Python: talk to MS-Word via its COM object
# model; uses either dynamic dispatch (run-time lookup/binding),
# or the static and faster type-library dispatch if makepy.py has
# been run; install the windows win32all extensions... |
9,344 | c4898f3298c2febed476f99fe08bc5386527a47e | """
Convert file containing histograms into the response function
"""
import h5py
import wx
import numpy as np
import matplotlib.pyplot as plt
#############################################################################
# Select the file cantoning histograms,
# which will be converted to response function
app = wx.A... |
9,345 | 7cd6a8a106c21e8e377666d584e19d30c607b7d2 | # import os,sys
# BASE_DIR=os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# sys.path.append(BASE_DIR)
from lib import common
from conf import settings
import random
import pickle
import os
import xlrd
import time
class Base:
def save(self):
file_path=r'%s/%s' %(self.DB_PATH,self.id)
p... |
9,346 | f4e287f5fce05e039c54f1108f6e73020b8d3d8f | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2015 RAPP
# 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 app... |
9,347 | 796fada5dcd45ace8240760ac7e9bad41953ab56 | """
Chess state handling model.
"""
from concurrent.futures import ThreadPoolExecutor
from itertools import count
from json import dumps
from .base_board import BaseBoard, NoBoard
from .table_board import TableBoard
from .table_game import TableGame
__all__ = ['Board', 'NoBoard']
class Board(BaseBoard):
"""
... |
9,348 | d4b432735a112ccb293bf2f40929846b4ce34cd0 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import optparse
import logging
from pyspark import SparkContext
from pyspark import SparkConf
logger = logging.getLogger(__name__)
def create_context(appName):
"""
Creates Spark HiveContext
"""
logger.info("Creating Spark context - may take some while")
... |
9,349 | 1cd82883e9a73cfbe067d58c30659b9b2e5bf473 | data=[1,4,2,3,6,8,9,7]
def partition(data,l,h):
i=l
j=h
pivot=data[l]
while(i<j):
while(data[i]<=pivot and i<=h-1):
i=i+1
while(data[j]>pivot and j>=l+1):
j=j-1
if(i<j):
data[i],dat... |
9,350 | a325feba1c2bb588321429a045133d6eede9e8cf | #!/usr/bin/python
# pymd2mc.xyzfile
"""
"""
__author__ = 'Mateusz Lis'
__version__= '0.1'
from optparse import OptionParser
import sys
from time import time
from constants import R, T
from energyCalc import EnergyCalculator
from latticeProjector import LatticeProjectorSimple
from lattices import HexLattice
from ... |
9,351 | 8e5d05d925d47a85ad7c211f26af7951be048d32 | import cv2
import numpy as np
import show_imgs as si
IMG_PATH = "../sample_imgs"
def blur():
image = cv2.imread(IMG_PATH + "/jjang.jpg")
kernel_sizes = [(1, 1), (3, 3), (5, 5), (7, 7), (7, 1), (1, 7)]
filter_imgs = {}
blur_imgs = {}
for ksize in kernel_sizes:
title = f"ksize: {ksize}"
... |
9,352 | 86c1aee21639958f707f99bc2468e952ad6c1859 | from app import config
from sqlalchemy import create_engine
from sqlalchemy.orm import scoped_session, sessionmaker
engine = create_engine(config.DB_URI)
Session = scoped_session(sessionmaker(bind=engine))
|
9,353 | 1eeb7a539f43e9fb013494e2aa0d81b4eab0ae1a | import csv
from sys import argv
import re
import sys
datasave=[]
if len(argv) is not 3: #stop usage if not correct input
print('Usage: python dna.py data.csv sequence.txt')
sys.exit()
#open CSV file and save
with open (argv[1],'r') as csv_file:
datafile = csv.reader(csv_file)
line_count = 0
for ... |
9,354 | 1257b90781a213ca8e07f67a33b8e847d0525653 | from django.db import models
from django.contrib.auth.models import User
# Create your models here.
class Post(models.Model):
title = models.CharField(max_length=40)
content = models.TextField()
date_published = models.DateTimeField(auto_now=True)
author = models.ForeignKey(User, on_delete=models.CASCA... |
9,355 | 80bf208f1d658b639d650af8208a744ed2dd258f | import functools
import requests
import time
import argparse
class TracePoint:
classes = []
funcs = []
flow = []
@staticmethod
def clear():
TracePoint.classes = []
TracePoint.funcs = []
TracePoint.flow = []
def __init__(self, cls, func, t):
if cls not ... |
9,356 | 3e4771d074218fb0a77332ee61a4cc49f1c301b7 | # SPDX-License-Identifier: Apache-2.0
# Copyright (C) 2020 ifm electronic gmbh
#
# THE PROGRAM IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND.
#
"""
This module provides the recording control GUI service for the nexxT framework.
"""
import logging
from pathlib import Path
from nexxT.Qt.QtCore import Qt, QStorageInf... |
9,357 | 59233cd45000cd6d6ad0876eb3812599392d7c05 | # -*- coding:utf-8 -*-
__author__ = 'leandro'
from datetime import *
from PyQt4 import QtGui, QtCore
from baseDatos.ventas.venta import NotaCredito
from gui import CRUDWidget,MdiWidget
from ventanas import Ui_vtnDevolucionDeCliente, Ui_vtnReintegroCliente, Ui_vtnVentaContado
from baseDatos.obraSocial import ObraSoc... |
9,358 | 4efd22d132accd0f5945a0c911b73b67654b92e4 | from django.urls import path
from .views import FirstModelView
urlpatterns = [
path('firstModel', FirstModelView.as_view())
] |
9,359 | 5f1cbe1019f218d2aad616ea8bbe760ea760534c | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
# Add gumpy path
sys.path.append('../shared')
from gumpy import signal
import numpy as np
def preprocess_data(data, sample_rate=160, ac_freq=60, hp_freq=0.5, bp_low=2, bp_high=60, notch=False,
hp_filter=False, bp_filter=False, artifact_rem... |
9,360 | ae775e25179546156485e15d05491e010cf5daca | # encoding=utf8
from selenium import webdriver
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
from selenium.common.exceptions import NoSuchElementException, ElementNotVisibleException
from selenium.webdriver.support.select import Select
import time
import threading
import random
import ... |
9,361 | 1b1b646a75fe2ff8d54e66d025b60bde0c9ed2d6 | # To add a new cell, type '# %%'
# To add a new markdown cell, type '# %% [markdown]'
# %% [markdown]
# ### Bài tập 1.
# - <ins>Yêu cầu</ins>: Ý tưởng cơ bản của thuật toán ``Support Vector Machine`` (``SVM``) là gì? Ý tưởng của thuật toán biên mềm (``soft margin``) ``SVM``. Nêu ý nghĩa của siêu tham số ``C`` trong bà... |
9,362 | c889fd081eb606dca08fade03aa0a4d32319f98d | import requests
import json
URL = 'https://www.sms4india.com/api/v1/sendCampaign'
# get request
def sendPostRequest(reqUrl, apiKey, secretKey, useType, phoneNo, senderId, textMessage):
req_params = {
'apikey':EON386947EGSUZ4VEMIL8AWQX8RQW6UH,
'secret':FB2K25JVMFPEM310,
'usetype':useType,
'p... |
9,363 | bf3e7f1aa9fd20b69e751da9ac8970c88b1144eb | """
Test the OOD-detection capabilities of models by scaling a random feature for all sample in the data set.
"""
# STD
import os
import pickle
from copy import deepcopy
from collections import defaultdict
import argparse
from typing import Tuple, Dict, List
# EXT
import numpy as np
from tqdm import tqdm
import torch... |
9,364 | 28532fe798b6a764bec7ea511ba9e66a1d096b6f | #!/usr/bin/python
import argparse
import contextlib
import os.path
import shutil
import subprocess
import sys
import tempfile
from Bio import SeqIO
BOOTSTRAP_MODES = 'a',
# Some utilities
@contextlib.contextmanager
def sequences_in_format(sequences, fmt='fasta', **kwargs):
with tempfile.NamedTemporaryFile(**kwa... |
9,365 | 7f7adc367e4f3b8ee721e42f5d5d0770f40828c9 | from setuptools import setup
import os.path
# Get the long description from the README file
with open('README.rst') as f:
long_description = f.read()
setup(name='logging_exceptions',
version='0.1.8',
py_modules=['logging_exceptions'],
author="Bernhard C. Thiel",
author_email="thiel@tbi.un... |
9,366 | ae27f97b5633309d85b9492e1a0f268847c24cd5 | import random
import numpy as np
import matplotlib.pyplot as plt
import torchvision
def plot_image(img, ax, title):
ax.imshow(np.transpose(img, (1,2,0)) , interpolation='nearest')
ax.set_title(title, fontsize=20)
def to_numpy(image, vsc):
return torchvision.utils.make_grid(
image.view(1, vsc.c... |
9,367 | 60c3f6775d5112ff178bd3774c776819573887bb | import smtplib
import os
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from datetime import datetime
from threading import Thread
FROM = os.getenv('EMAIL_FROM')
TO = os.getenv('EMAIL_TO')
HOST = os.getenv('EMAIL_HOST')
PORT = os.getenv('EMAIL_PORT')
PASSWORD = os.getenv('EMAIL_PAS... |
9,368 | 6b6b734c136f3c4ed5b2789ab384bab9a9ea7b58 | # Generated by Django 3.0.5 on 2020-05-02 18:58
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('weatherData', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='city',
name='username',
... |
9,369 | da218e6d9ee311eefb8e9ae4dac5053793eb5514 | """
Class for manage tables in Storage and Big Query
"""
# pylint: disable=invalid-name, too-many-locals, too-many-branches, too-many-arguments,line-too-long,R0801,consider-using-f-string
from pathlib import Path
import json
from copy import deepcopy
import textwrap
import inspect
from io import StringIO
from loguru i... |
9,370 | 5d97a2afed26ec4826c8bce30c84863d21f86001 | from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_security import SQLAlchemySessionUserDatastore, Security
app = Flask(__name__, instance_relative_config=True)
app.config.from_pyfile("config.py", silent=True)
db = SQLAlchemy(app)
from .blueprints.cart.views import cart_blueprint
from .bluepr... |
9,371 | d28571214805df766c2cc2f45a6b5bea88d7ac18 | #!/usr/bin/env python
from setuptools import setup, find_packages
#if sys.argv[-1] == 'publish':
# os.system('python setup.py sdist upload')
# sys.exit()
with open('bace/__init__.py') as fid:
for line in fid:
if line.startswith('__version__'):
VERSION = line.strip().split()[-1][1:-1]
... |
9,372 | 4ad4cf46be735c6ac26b5b0953d4c2458f37496a | import os, shutil, cv2
from PIL import Image
INP_DIR = '/dataset/test_set_A_full'
# Lọc thư mục data test ra thành 3 thư mục: None, Square (1:1), và phần còn lại (đã được crop ngay chính giữa)
# Trả về path dẫn đến 3 thư mục nói trên
def pre_proc(INP_DIR):
INP_DIR = INP_DIR + '/'
NONE_DIR = os.path.dirname(I... |
9,373 | 02a1f84e72b412636d86b9bdb59856ae8c309255 | '''
Each new term in the Fibonacci sequence is generated by adding the previous two terms.
By starting with 1 and 2, the first 10 terms will be:
1, 2, 3, 5, 8, 13, 21, 34, 55, 89, ...
By considering the terms in the Fibonacci sequence whose values do not exceed four million,
find the sum of the even-valued terms.
'... |
9,374 | 601d32bf30aa454bbc7d31d6ce4b7296cef0fdfe | """Largest product in a series
Problem 8
The four adjacent digits in the 1000-digit number that have the greatest product
are 9 x 9 x 8 x 9 = 5832.
73167176531330624919225119674426574742355349194934
96983520312774506326239578318016984801869478851843
85861560789112949495459501737958331952853208805511
125406987471585238... |
9,375 | 438fe1ccf265706e202d7cc6044e57590f29801f | import pytest
from eth_utils import encode_hex, remove_0x_prefix
from ethereum.tester import keys
import os
import json
from microraiden.client.client import CHANNEL_MANAGER_ABI_NAME, TOKEN_ABI_NAME
from microraiden.crypto import privkey_to_addr
@pytest.fixture
def contracts_relative_path():
return 'data/contrac... |
9,376 | 9d2c0d59b0b2b4e4fca942e648059738053c53d0 | from setuptools import setup, find_packages
import sys, os
version = '0.1'
setup(
name='ckanext-MYEXTENSION',
version=version,
description="description",
long_description="""\
""",
classifiers=[], # Get strings from http://pypi.python.org/pypi?%3Aaction=list_classifiers
keywords='',
author='ldhspace',
author... |
9,377 | 8fbfa53be826b45b53b530a1766f6a68c61f5be9 | from tkinter import *
class Menuutje:
def __init__(self, master):
menu = Menu(master)
master.config(menu=menu)
subMenu = Menu(menu)
menu.add_cascade(label="File", menu=subMenu)
subMenu.add_command(label="New Game...", command=self.doNothing)
subMenu.add_command(la... |
9,378 | 467327b98ab99bdad429943c701c751be4f67940 | import json
import sys
from copy import deepcopy
from argparse import ArgumentParser
# TODO: Ord category's IDs after deletion
def return_cat_name(json_coco, category):
"""Return the category name of a category ID
Arguments:
json_coco {dict} -- json dict file from coco file
category {int} --... |
9,379 | 0f257d199ad0285d8619647434451841144af66d | #Tom Healy
#Adapted from Chris Albon https://chrisalbon.com/machine_learning/linear_regression/linear_regression_using_scikit-learn/
#Load the libraries we will need
#This is just to play round with Linear regression more that anything else
from sklearn.linear_model import LinearRegression
from sklearn.datasets import ... |
9,380 | 17a442a85b910ff47c2f3f01242b7f64a6237146 | from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential, Model
from keras.applications import InceptionV3
from keras.callbacks import ModelCheckpoint
from keras.optimizers import SGD
from keras.layers import Flatten,Dense,Dropout
from keras.preprocessing.image import img_to_a... |
9,381 | d23700f03e8498a5ff3d1d03d8808048ba79a56b | import os
from os import listdir
from openpyxl import load_workbook, Workbook
ROOT_PATH = os.getcwd()
# print(f'ROOT_PATH : {ROOT_PATH}')
CUR_PATH = os.path.dirname(os.path.abspath(__file__))
# print(f'CUR_PATH : {CUR_PATH}')
path = f'{ROOT_PATH}/xlsx_files'
files = listdir(path)
result_xlsx = Workbook()
result_sheet... |
9,382 | 4e04e748a97c59a26a394b049c15d96476b98517 | # Generated by Django 2.2.16 on 2020-10-27 14:55
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('trades', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='orderinfo',
name='nonce_str',
... |
9,383 | aaeca18f3771a6032c0fe51b75502f730c888888 | import FWCore.ParameterSet.Config as cms
source = cms.Source("PoolSource",
fileNames = cms.untracked.vstring(
'/store/user/skaplan/noreplica/ADDdiPhoton/sherpa/mgg750-2000_Ms3000/sherpaevents_10_1_Kji.root',
'/store/user/skaplan/noreplica/ADDdiPhoton/sherpa/mgg750-2000_Ms3000/sherpaevents_1_1_oTR.r... |
9,384 | e6694403eecf2c4511c1fce959b5939f5f457bb8 | v1 = 3+4*2
print(v1)
v2 = (2+6)*2
print(v2)
v3 = 2**3**2
print(v3)
v4 = 20+80/2
print(v4)
|
9,385 | 9d7bc2d93b855fbd22a4707a6237ac51069beb53 | """
进程对象属性
"""
from multiprocessing import Process
import time
def tm():
for i in range(3):
print(time.ctime())
time.sleep(2)
p = Process(target=tm,name='Tarena')
# 设置子进程随父进程退出
p.daemon = True
p.start()
print("Name:",p.name) # 进程名称
print("PID:",p.pid) # 进程PID
print("is alive：",p.is_alive()) #... |
9,386 | 3d742505d480493fbc729e7a0febdcab3a7dc041 | from __future__ import annotations
from typing import Generator, Optional
from collections import Counter
from itertools import zip_longest
from re import finditer
codon_table = """UUU F CUU L AUU I GUU V
UUC F CUC L AUC I GUC V
UUA L CUA L AUA I GUA V
UUG L CUG L ... |
9,387 | 1a28aea824752d18cbd462693f8f8980dba4974e | import re
BASICPATTERN = '[!/](%s)\s{,1}(.*)' # example "/animefind baka" -> (animefind, baka)
# returns compiled BASICPATTERN for each given string
def basicRegex(strings):
if not isinstance(strings,list):
return []
ans = []
for string in strings:
pattern = re.compile(BASICPATTERN % st... |
9,388 | 07e068dbc1ba1bcb85121ee49f2f9337cae188ba | #!/usr/bin/env python3
""" brightness an image"""
import tensorflow as tf
def change_brightness(image, max_delta):
"""brightness an image"""
img = tf.image.adjust_brightness(image, max_delta)
return img
|
9,389 | 475cb57ce5fda0d0389bfa1b9b227a2147e1abde | #------------------------------------------------------------
# Copyright 2016 Congduc Pham, University of Pau, France.
#
# Congduc.Pham@univ-pau.fr
#
# This file is part of the low-cost LoRa gateway developped at University of Pau
#
# This program is free software: you can redistribute it and/or modify
# it under the... |
9,390 | 8fd020e7f1854d29cf903f86d91a3a9ffa9d08d3 | /home/rip-acer-vn7-591g-1/catkin_ws/devel_cb/.private/nmea_navsat_driver/lib/python2.7/dist-packages/libnmea_navsat_driver/__init__.py |
9,391 | 763f552329a0d38900e08081a1017b33cd882868 | import random
tree_age = 1
state = "alive"
value = 1
age_display = "Your tree have an age of: {}".format(tree_age)
state_display = "Your tree is {}.".format(state)
def tree_state(x):
if x <= 19:
state = "alive"
return state
elif x <= 49:
rand = random.randrange(tree_... |
9,392 | 32d830f00a9d33b8f7f438c14b522ef186001bf3 | /usr/local/python-3.6/lib/python3.6/abc.py |
9,393 | ab6450ee9038e0c58ca8becf6d2518d5e00b9c90 | """Generic utilities module"""
from . import average
from . import extract_ocean_scalar
from . import git
from . import gmeantools
from . import merge
from . import netcdf
from . import xrtools
__all__ = [
"average",
"extract_ocean_scalar",
"git",
"gmeantools",
"merge",
"netcdf",
"xrtools"... |
9,394 | ca403e8820a3e34e0eb11b2fdd5d0fc77e3ffdc4 | # File for the information gain feature selection algorithm
import numpy as np
import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_selection import mutual_info_classif
# The function which will be called
def get_features(raw_data, raw_ids):
"""
Calculate the in... |
9,395 | 7c9b68b2d32d8e435f332d4412ea1ba899607ec4 | """Derivation of variable ``co2s``."""
import dask.array as da
import iris
import numpy as np
import stratify
from ._baseclass import DerivedVariableBase
def _get_first_unmasked_data(array, axis):
"""Get first unmasked value of an array along an axis."""
mask = da.ma.getmaskarray(array)
numerical_mask = ... |
9,396 | 8771f71a69f3afdc5de4d38db6efe61b553ae880 | import cartopy.crs as ccrs
import cartopy.feature as cfeature
import numpy as np
import matplotlib.pyplot as plt
import netCDF4
import xarray as xr
import metpy
from datetime import datetime
import datetime as dt
from metpy.units import units
import scipy.ndimage as ndimage
from metpy.plots import USCOUNTIES... |
9,397 | dc2deb7d4c9cc126a6d80435fe9dbc16d6ac8941 | config_prefix = "<"
config_suported_types = ["PNG", "GIF", "JPEG"]
config_pattern = "^[A-Za-z0-9_]*$"
config_max_storage = int(1E9)
config_max_name_length = 20
config_message_by_line = 2
config_max_message_length = 2000
config_max_emote_length = 8*int(1E6)
config_pong = """
,;;;!!!!!;;.
:!!!!!!!!!!!!!!;
... |
9,398 | f2ac9904aaa4c12ef2954b88c37ffd0c97aadf5a | '''
Problem 24
A permutation is an ordered arrangement of objects. For example, 3124 is one possible permutation of the digits 1, 2, 3 and 4. If all of the permutations are listed numerically or alphabetically, we call it lexicographic order. The lexicographic permutations of 0, 1 and 2 are:
012 021 102 120 ... |
9,399 | a2626b384d0b7320ee9bf7cd75b11925ccc00666 | import itertools
def sevens_in_a_row(arr,n):
in_a_row={}
for iteration in arr:
if arr[iteration]==arr[iteration+1]:
print blaaa
def main():
n=3
arr=['1','1','1','2','3','-4']
print (sevens_in_a_row(arr,n))
if __name__== '__main__':
main() |
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