index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
986,400 | e4a715eeea1024121fedbc4a4dba0b6973ce5113 | import subprocess,os,sys
from timeit import timeit
# timeit.timeit(stmt, setup, timer, number=??)
count = 10
def timingIt(prog):
cmds = "import subprocess,os,sys;"
cmds += "from timeit import timeit;"
cmds += 'subprocess.call(["' + prog + '"],stdout=open(os.devnull, "w"))'
print prog, ... |
986,401 | 25ea6de399dc5476199d73f24e231d9a89a349ca | EPS = 0.00000001
if __name__ == "__main__":
T = int(raw_input())
memo = {}
for cnt in xrange(T):
n = int(raw_input())
hikerInfo = []
# STARTING POSITION, NUMBER OF CIRCLES, FASTEST POSITION
for i in xrange(n):
hikerInfo.append(map(int, raw_input().split()))
... |
986,402 | 96b30501ea4bd19b8ea01da1ded25b7c87150dd1 | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
"""
@Author :yicg
@Time : 2021/2/18 下午4:31
@Version : 1.0
@Description :
"""
import time
#1.基本操作
print(time.asctime()) # 当前时间的国外时间格式 Thu Feb 18 16:34:19 2021
print(time.time()) #当前时间戳 1613637308.6508229
time.sleep(1) # 等待时间
print(time.localtime(1613637308.65... |
986,403 | 489f4a9e178908812bfcf863dc9877b25b927c59 | import numpy as np
import cv2
img = cv2.imread('im1.jpg')
cv2.imshow('original',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
|
986,404 | 6ec44e03d75b794bea0f693466b6f85e2a85433c | from mpi4py import MPI
comm=MPI.COMM_WORLD
rank=comm.Get_rank()
sendmsg=rank
print("I am rank {} I have sendmsg as {}".format(rank,sendmsg))
recvmsg1=comm.reduce(sendmsg,op=MPI.SUM,root=0)
if rank==0:
print("rank zero",recvmsg1)
print("all reduce at rank {}".format(rank))
recvmsg2=comm.allreduce(sendmsg,op=MPI... |
986,405 | 93d1b40ff4803fb2846251325784c4b94961381b | from argparse import ArgumentParser
import logging
from run_tests import run_test
def main():
"""
:return:
"""
parser = ArgumentParser()
parser.add_argument(
"--testing",
type=bool,
default=True
)
parser.add_argument(
"--test_type",
type=str,
... |
986,406 | 60a7f8efb0c344579cf9ac772163d45f15325f68 | import abjad
import baca
from akasha import library
#########################################################################################
########################################### 02 ##########################################
######################################################################################... |
986,407 | c22298845895673b7e5cf5544183539bd760f171 | """
This is the virtual base class of retriever
"""
import os
import numpy as np
import torch
from metrics import *
from utils import *
class BaseRetriever(torch.nn.Module):
def __init__(self, documents, config):
"""
Args:
- documents: a big dict for all documents
... |
986,408 | 4be70e87b58cab629f47098eecc769f2e9033f74 | import re
import unittest
# with open('../../input/day22') as f:
with open('../../input/day22-sample') as f:
data = f.read().strip().split("\n")
p = re.compile(r'(\w+) .=(.*),.=(.*),.=(.*)')
ins = []
X = set()
Y = set()
Z = set()
for line in data:
m = p.match(line)
switch = m.group(1) == 'on'
x1, x... |
986,409 | ec5e1259841b8fe2aa51b90fe114b5769d654733 | # prepare_data()
# make_experiment()
# collect_result()
import re
import shutil
import subprocess
import sys
import fortranformat as ff
import logging
from saxs_experiment import LogPipe
import os
def prepare_data(all_files, tmpdir, method, verbose_logfile, mydirvariable):
for file in all_files: # not strict form... |
986,410 | 99f05120d9dac847d52c21155880031b96c86a7e | from bs4 import BeautifulSoup
import requests, lxml, html5lib
import pandas as pd
class nflScraper(object):
"""
Base class for web scraping NFL data.
Basic operations are:
1. find a link
2. find a table
3. extract information from table.
"""
domain = "https://www.pro-football-... |
986,411 | 4d94c43e797d7920c74fd2bb011f5f4177a11765 | Solution to [Validating and Parsing Email Addresses](https://www.hackerrank.com/challenges/validating-named-email-addresses) |
986,412 | fd1cc2138aee2d8baa32057e25d7c1b206a52e44 | import indiesolver
import numpy as np
import scipy
def evaluate(solution):
x = solution["parameters"]
mf = 3
collf = CollGaussRadau_Right(num_nodes=mf, tleft=0.0, tright=1.0)
# coll = CollGaussLobatto(num_nodes=m, tleft=0.0, tright=1.0)
# coll = EquidistantNoLeft(num_nodes=m, tleft=0... |
986,413 | d3e105d8cc972d42840f5a659ba3efb8a6276974 | import geoip2.database
# # create a reader object
# reader = geoip2.database.Reader('/home/yang/pyproject/i2p/GeoLite2-City.mmdb')
# # give the ip address
# response = reader.city('223.3.68.179')
# # get the attribution of the ip
# print(response.country.iso_code)
#
# print(response.location.latitude)
#
# print(respo... |
986,414 | ac161f6441e8f5f66b22426b2a898b3cc3afebab | # -*- coding: utf-8 -*-
import nose
import unittest
import time
from suds import WebFault
from suds.client import Client
from suds.sax.element import Element
from authenticator import Authenticator
from creation import *
import db
import datetime
import urllib2
import base64
ids = [ 18559,
64272,
64309,... |
986,415 | e16e7b3bd9064cf4adb70a6e0883cdbdbc119551 | import re
import boto3
import pandas as pd
from botocore.exceptions import ClientError
from typing import List
BUCKET_NAME = 'sok-repository-eval-benchmarks'
client = boto3.client("s3")
def get_csv_files_in_s3_path(path: str, filter: str, get_s3_url: bool = False):
response = client.list_objects(Bucket=BUCKET_NA... |
986,416 | f72e860d6d4a3a33961195081f5e0dccf3c1476f | #!/usr/bin/env python3
# Copyright (c) 2002-2017, California Institute of Technology.
# All rights reserved. Based on Government Sponsored Research under contracts NAS7-1407 and/or NAS7-03001.
#
# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the followin... |
986,417 | 6bbce1d9ea5e7027b3c1f4a77611a93b3d657172 | import django
from django import template
from django.template.base import Node, NodeList, TemplateSyntaxError, token_kwargs
from django.template.library import parse_bits
from django.utils.safestring import mark_safe
from django_components.component import registry
# Django < 2.1 compatibility
try:
from django.t... |
986,418 | a93c08285db122733789db6871b4dbb8fb9b8f37 | from django.db import models
# Create your models here.
class Search(models.Model):
topic = models.CharField(max_length=100)
|
986,419 | 0c72656d3872c3af5c9fc5339432e68ebe5673b1 | import pandas as pd
import seaborn as sns
import matplotlib
import matplotlib.pyplot as plt
# 한글 설정
import platform
print(platform.system())
if platform.system() == 'Windows':
matplotlib.rcParams['font.family'] = 'Malgun Gothic' # '맑은 고딕'으로 설정
else:
matplotlib.rcParams['font.family'] = 'NanumGothicCoding' #... |
986,420 | 2895bbc6da5091e0bdd5b4f2b16e82183824ff03 | #coding=utf-8
import RPi.GPIO as GPIO
import time
servopin = 18
GPIO.setmode(GPIO.BOARD)
GPIO.setup(servopin, GPIO.OUT, initial=False)
p = GPIO.PWM(servopin,50) #50HZ
p.start(0)
time.sleep(2)
def turn(s,t):
k=s
if s<=t:
while k<=t:
p.ChangeDutyCycle(2.5 + 10 * k / 180) #设置转动角度
time.sleep(0.... |
986,421 | 7008dc1f4bad0bf31d9a41e445fe7488fff4f1ac | import math
def solve_c(path="E:\\Users\\Neta\\Desktop\\dashyts\\googlejam.txt"):
f = open(path, "r")
T = f.readline()
T = int(T)
#path_out = "E:\\Users\\Neta\\Desktop\\dashyts\\googlejamSOL.txt"
#fout = open(path_out, "w")
case = 0
for i in range(T):
line = f.readline()
... |
986,422 | 21336c984053c7f4827320b54f601a315b522e02 | import sys
import os
import numpy as np
import skimage.io as skio
import matplotlib.pyplot as plt
import skimage as ski
import math
def returnRowsAndCols(image):
return image.shape[0], image.shape[1]
def negativefunc(originalImage):
rows = originalImage.shape[0]
cols = originalImage.shape... |
986,423 | 81781d5f67f2e3fc2159c7ea7db51d4767936057 | # North Sea example
# =================
#
# .. highlight:: python
#
# This example gives an overview of how to set up a tidal model of the North Sea.
#
# In this demo, we are working with geographic data and so need to import a number of
# additional packages and configure for the right timezones and map projection. It... |
986,424 | 91f695e2a981d21a031f1f41ee9c80da9494447e | from experience_replay import PrioritizedExperienceReplay
import numpy as np
from numpy import clip
from numpy.random import rand, randint
from atari_preprocessing import ProcessedAtariEnv
from deep_q_networks import DeepQNetwork
import tensorflow as tf
from tensorflow import math
argmax = math.argmax
import time
impor... |
986,425 | bd61fe6523c58bcc6692016d8da60f5417d5c376 | def main():
print("hello my name is Matheus Guelfi")
main() |
986,426 | bf2ddb7a6878c6875d367714181271dc624f2a55 |
matrix = [
[112, 42, 83, 119],
[56, 125, 56, 49],
[15, 78, 101, 43],
[62, 98, 114, 108]
]
def flippingMatrix(matrix):
# Write your code here
n = int(len(matrix) / 2)
current_sum = _compute_sum(matrix)
max_value = 0
max_value_location = (0,0)
for i, row in enumerate(matrix[n... |
986,427 | 5c599c58f29d79d7c7fd611cfbef00d0b2e193f9 | # Generated by Django 2.1.7 on 2019-04-04 14:06
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [("khetha", "0002_schema_sketch")]
operations = [
migrations.AlterModelOptions(
name="answeroption", options={"ordering": ["order"]}
),
... |
986,428 | 7bec7793eca7a8fc621dbf5d48ca890785fcb193 | from apps.users import dm_users
from flask import redirect, session, jsonify
from apps.users.a_schemas import UserSchema
from server.connection import update
from functools import wraps
from apps.logs import o_logs
from apps.users import m_users
def user_active_required(func):
@wraps(func)
def wrapper(*args, ... |
986,429 | 50b24385df344259552a593cd60c5433d500072a | import os, io, json, shutil
from django.core.exceptions import SuspiciousFileOperation
from cmsplugin_cascade import app_settings
import tempfile
try:
import czipfile as zipfile
except ImportError:
import zipfile
def unzip_archive(label, zip_ref):
common_prefix = os.path.commonprefix(zip_ref.namelist())
... |
986,430 | c0011ac48c4f8caa314e17b35d9e3445eb8879cb | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright 2019 Arne Köhn <arne@chark.eu>
#
# 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... |
986,431 | 573e7c3904f02c0b7998a02497355d09d3b6c20d | # -*- coding: utf-8 -*-
import unittest
from typestruct import Packet, types, Endian
from dataclasses import dataclass
@dataclass
class ExamplePacket(Packet):
bool: types.Bool
int8: types.int8
int16: types.int16
int32: types.int32
int64: types.int64
bool2: types.Bool
uint8: types.uint8
... |
986,432 | b5025289ef465e1bbe4c15232ec34a57c855a4ab | import numpy as np
from sklearn import datasets
iris = datasets.load_iris()
iris_data = iris.data
iris_labels = iris.target
#print(iris_data[0], iris_data[79], iris_data[100])
#print(iris_labels[0], iris_labels[79], iris_labels[100])
np.random.seed(42)
indices = np.random.permutation(len(iris_data))
n_training... |
986,433 | c080439d910f4c7fedb959bcfcc6adececccb867 | #autor:Roberto Ortega Ortega
"""validarNombre:
algoritmo que segun el las opciones introducidas, redireccionara las
acciones a otro algoritmo, para asi continuar con el proceso de montaje"""
from src.aleatorioConocido import aleatorioConocido
from src.aleatorioNuevo import aleatorioNuevo
from src.secuencialConocido i... |
986,434 | 1dc68d4368d9f0f563ef26464b69b76071b0c7f0 | afgelegde_km = float(input("Hoeveel km leg je jaarlijks af? "))
verbruik = float(input("Hoeveel liter verbruik je per 100km? "))
prijs_per_liter = float(input("Hoeveel kost brandstof per liter? "))
totale_kosten = afgelegde_km * (verbruik/100) * prijs_per_liter
kostprijs_km = verbruik / 100 * prijs_per_liter
print("D... |
986,435 | 96dfbfd8155cbc38f5b81532613a71c26876d1d1 | #!/usr/bin/env python3
import os
import numpy
from distutils.core import Extension, setup
import distutils_pytest
# seems that this will clean build every time, might make more sense to just have a lightweight wrapper & precompiled lib?
cppmodule = Extension(
'humanleague',
define_macros = [('MAJOR_VERSION', '2')... |
986,436 | 10d53aade8b00306de47bef73850045478bb75bc | from django.db import models
from django.conf import settings
from datetime import datetime
from rest_framework.reverse import reverse as api_reverse
class Task(models.Model):
name = models.CharField(max_length=200)
user = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE, blank=True, null=... |
986,437 | 28a8d81c442d6b06784b81a74b1555486043c2b1 | from flask import Flask, render_template, request, redirect, session # Import Flask to allow us to create our app.
app = Flask(__name__) # Global variable __name__ tells Flask whether or not we are running the file
# directly, or importing it as a module.
app.secret_key = 'bcxjnmkbnhbfrvsgh... |
986,438 | fd376c909598143d2f508b70e80c9916f508df18 | from collections import Counter
def function_length_frequency(func, hrange):
return Counter(len(func(n)) for n in hrange).most_common()
if __name__ == '__main__':
from executable_hailstone_library import hailstone
upto = 100000
hlen, freq = function_length_frequency(hailstone, range(1, upto))[0]
... |
986,439 | ef459201d8abd580093c3157d9e1800b988bb188 |
#calss header
class _RAP():
def __init__(self,):
self.name = "RAP"
self.definitions = [u'a type of popular music with a strong rhythm in which the words are spoken, not sung: ', u'a statement accusing someone of a crime, or the punishment that someone is given for a crime: ', u'a judgment or a reaction: ', u'a ... |
986,440 | d58a662dab81e43f9ec1a3f79a6182ecd8f86836 | from django.test import TestCase
from .models import *
import pandas as pd
import requests
import json
# Create your tests here.
def create_data():
result = pd.read_csv('../data/data_adg/지하철_교육시설포함_최종.txt', sep=",", encoding="utf-8")
# result = pd.DataFrame(result,columns=["result_id","address", "gu", "dong", ... |
986,441 | 252e5edc7a1ec8ddf53f1e632e5efbc9390181a2 | x=[1,2,3,4]
y=[5,6,7,8]
a=0
b=0
for i in range(len(x)):
if i%2==0:
a=a+x[i]
for k in range(len(y)):
if k%2!=0:
b=b+y[k]
print(a+b) |
986,442 | bd34535000e9551e915945ed077bc43d30b77fe9 | import requests
import argparse
from termcolor import colored
import time
print(colored("""
_ _ _ _ _ _
| || | |_| |_ _ __ | (_)_ _____
| __ | _| _| '_ \ | | \ V / -_)
|_||_|\__|\__| .__/ |_|_|\_/\___|
|_|
#C0ded By Red Virus ... |
986,443 | e17fa09f6b9bb247c9e7483a69f8bd1bc6aa8793 | #!/usr/bin/python3
pip install -r requirements.txt
|
986,444 | 4a7233b40d06d7458d450f3965f085b570e668d3 | import requests
#Opening file
books_rest = requests.get('http://pulse-rest-testing.herokuapp.com/books')
print(books_rest.json()[0])
print(books_rest.text)
print(books_rest.status_code)
print(books_rest.headers)
#First script
payload = {'title': 'Kobzar', 'author': 'Taras Shevchenko'}
r = requests.post('http://pulse-... |
986,445 | 10a448260898f39ec04501d93b6d6cfeabdb149f | print("Welcome to the rollercoaster!")
height = int(input("What is your height in cm? "))
bill = 0
if height >= 120:
print("You can ride")
age = int(input("How old are u? "))
if age < 12:
bill = 5
print(f"Children pay ${bill}")
elif age <= 18:
bill = 7
print(f"Youth pay ... |
986,446 | 40a492927dd0acf8c7b1a83fa0cbf231626ed9e8 | # -*- coding: utf-8 -*-
"""
Created on Thu May 10 16:17:20 2018
@author: HUDSON
"""
"""
Constroi a estrutura de uma rede neural artificial
"""
from pybrain.structure import FeedForwardNetwork
from pybrain.structure import LinearLayer, SigmoidLayer, BiasUnit
from pybrain.structure import FullConnection
rede = FeedForw... |
986,447 | 8faf3b175aceece7fe3c82517b3b90be538eb16a | '''initialize'''
from .shapes import tetrisShape
from .gameboard import InnerBoard, ExternalBoard, SidePanel |
986,448 | e76f85a035659b04534e816567a748f7876dd7c5 | """
Name : c12_09_roll_a_dice.py
Book : Python for Finance (2nd ed.)
Publisher: Packt Publishing Ltd.
Author : Yuxing Yan
Date : 6/6/2017
email : yany@canisius.edu
paulyxy@hotmail.com
"""
import random
def rollDice():
roll = random.randint(1,6)
return roll
i =1
n=10
r... |
986,449 | 3228b74dd15ce0534c2e01f2e366376ca20d2b39 | import pandas as pd
import sys
path = sys.argv[1]
train = pd.read_csv(path + '/' + path +'.train_modified.csv',low_memory=False)
test = pd.read_csv(path + '/' + path +'.test_modified.csv',low_memory=False)
valid = pd.read_csv(path + '/' + path +'.valid_modified.csv',low_memory=False)
train['id'] = pd.DataFrame(rang... |
986,450 | 5ce36e8ce45e5ef5b419c5fd7db03f5edd2d87c8 | from .environment import Environment
class Grassland(Environment):
def __init__(self, name):
Environment.__init__(self, name, animal_max=22, plant_max=15)
def animal_count(self):
return f"This place has {len(self.animals)} animals in it"
def add_animal(self, animal):
try:
... |
986,451 | 633075ea98229f72c492a97dbaa19971847b7fb4 | import discord
import random
from discord.ext import commands
from main import bot
from cogs.errorhandler import rfooter
class myhelp(commands.HelpCommand):
def get_command_signature(self, command):
return f"{self.clean_prefix}{command.qualified_name} {command.signature}"
#the help command
async def send_b... |
986,452 | 71d4b2053e68b157b1b5c1bbae384b1d60e6568b | # Generated by Django 3.2.5 on 2021-07-29 08:33
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Task',
fields=[
... |
986,453 | c723784ceb1f0a7c699f95e1c8469ea32a4d78b2 | #imports
import discord
from random import shuffle
import configparser
import random
import requests
import aiohttp
import traceback
import sys
import re
import json
import time
import asyncio
import os
from datetime import datetime
from discord import game
from random import randint
from discord.ext import commands
... |
986,454 | 39bf8f973810c62dbd32859696a1b7e3064b3298 | # Generated by Django 3.0.7 on 2020-06-19 10:27
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('detalji_za_pretragu', '0001_initial'),
]
operations = [
migrations.RenameField(
model_name='detaljipretrage',
old_name='nazi... |
986,455 | c422b8aea6f92106ce1fdf1f9960f04283a3821f | # -*- coding: utf-8 -*-
''' Data Quality Checking Module
This module contains functions for identifying corrupt or bad quality data.
'''
import numpy as np
from solardatatools.utilities import local_median_regression_with_seasonal,\
local_quantile_regression_with_seasonal
def daily_missing_data_simple(data_matr... |
986,456 | 1da86ed225eed48d9f1ccd73419a290520d09f1a | import sys
import re
import networkx as nx
known_edges = """
1 2
2 3
3 5
5 8
8 13
"""
edges = """
1 2,7
2 1,3,14
3 5,6
4 6,8
5 3,8,10
6 1,4,10,11
7 1,2,9
8 10,13,15
9 5,7,10
10 7,11,12
11 2,3,6,9
12 4,5,7
13 8,12
14 15
15 11,16
16 13
"""
edge_data = []
for a, bs in re.findall(r'(?m)^(\d+) ([\d,]+)$', known_edges + ed... |
986,457 | efd5a59831ecf5a488f3a73c59c93cec56414764 | a=int(input('enter the value of a'))
b=int(input('enter the value of b'))
if a>b:
print("a is greater than b")
else:
print("b is greater than a")
dl309@soetcse:~/lekhana$ python3 pg123.py
enter the value of a23
enter the value of b56
b is greater than a
|
986,458 | 7ec1ae74abde00d229d7792fc48a6c403352e980 | #-Runs PCR-GLOBWB using the ERA-Interim Reanalysis over the period 1979-2010 inclusive
# using mean daily temperature and daily GPCP-corrected rainfall totals as well as monthly reference
# potential evapotranspiration based on Penman-Monteith
# NOTE: the model is run by a generic water balance model that takes daily i... |
986,459 | 945cdcdba30dbcf5e82f7ba8eb7c5e0b4e9d3176 | # -*- coding: utf-8 -*-
from . import engineering_bom_batch
from . import engineering_bom
from . import engineering_bom_component
from . import engineering_bom_adjacency
from . import engineering_bom_diff
from . import engineering_part_diff
|
986,460 | 712e69b1e7f06f3e4ab351179a179514aecd1834 | # Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
# this solution avoids extra space
class Solution(object):
def LCA(self, root, p, q):
#base cases
if not root:
retur... |
986,461 | 64fcb88d4949dfb6ae6cb237f5765766533346fb | #!/usr/bin/env python3
num = int(input())
if num % 2 == 0:
num = num // 2
print(num)
else:
num = (num * 3) + 1
print(num)
|
986,462 | 0e04be1dfc78a91a388d0e761a5652a9ebbf9976 | from django.conf.urls import url
from . import views
# urlpatterns是被django自动识别的路由列表变量
urlpatterns = [
# 每个路由信息都需要使用url函数来构造
# url(路径, 视图)
url(r'^weather/([a-z]+)/(\d{4})/$', views.weather),
]
|
986,463 | 4b5d60b743d464a93ca041dbcd4e3db0260eb48f | # -*- coding: utf8 -*-
from ffman.ffmpeg.framework.ffprobe import *
from ffman.ffmpeg.framework.parameters import *
class AVProb(object):
"""docstring for FFProbeFactory"""
def __init__(self, inFile):
self.input = Input('"'+inFile+'"')
self.input.add_formatparam('-hide_banner', None)
s... |
986,464 | 7e85209c19785ccfbb4ef33fa2ec8e9194601e94 | #########################################################
## CS 4750 (Fall 2018), Assignment #2 ##
## Script File Name: fst.py ##
## Student Name: Benxin Niu ##
## Login Name: bn2645 ##
## MUN #: 2015183... |
986,465 | b30fb35a4f152cb2d32ef25a4017208aabadceef | import csv
import os
import shutil
from PIL import Image
from pprint import pprint
labelpath = r'C:\Users\Administrator\Desktop\Coding_stuff\facial_recognition\data\label\label.csv'
imagepath = r'C:\Users\Administrator\Desktop\Coding_stuff\facial_recognition\data\image\cropped'
destpath = r'C:\Users\Administrator\Desk... |
986,466 | ccbf8ee87a835481d6f915333d68598a0996f748 | from mods import config_path
config_path()
from D26 import uconfig
uconfig.features.train = [x for x in uconfig.features.train if not x in ["mult","nPho","nNeuHad","nChHad"]]
|
986,467 | 20c5dbd807065b4e6c3a4f8ed88fe2b0f7231dbc | # Copyright (c) 2013 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import os
from telemetry import test
from telemetry.core import util
from measurements import blink_perf
class BlinkPerfAll(test.Test):
tag = 'all'... |
986,468 | 8c1172e38813500ece98c1370ef84bf621deb690 | message = "Hello World"
new_message = message.replace("World", "Universe")
print(message[0:4])
print(message.count("Hello"))
print(new_message)
intro = "Game"
outro = "Time"
broadcast = f"{intro}, {outro.upper()}. Lets GO!"
print(broadcast)
# print(dir(outro))
|
986,469 | 64c001d0da88b9c28e3a5f51b0c20b0557c496f4 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Coded by Rendy Andhika
"""
ngapai bosq? mau recode?
tinggal pake aja susah amat sih?!
"""
try:
import os, requests, time
except ModuleNotFoundError:
print("\nSepertinya module requests BELUM Di Install")
print("$ pip install requests\n")
exit()
os.system('clear')
c=('\0... |
986,470 | c4071ca13f3a2bfbbb01f5fcee8d6f0ebd883b37 | import os, json
from selenium import webdriver
browser = webdriver.Firefox()
url = r'https://free-proxy-list.net'
browser.get(url)
click_next = r'proxylisttable_next.click()'
ip_list = {}
def find_elements(browser):
even_elements = browser.find_elements_by_class_name('even')
odd_elements = browser.find_elemen... |
986,471 | 9f400c3d0486fdedde3302392519832133c6ebeb | import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from random import randint
from time import time
def main():
# birthday paradox
print(birthday_paradox_A(4000))
# birthday_paradox_B_plot_C()
def birthday_paradox_A(n):
numbers = set()
while True:
x = randint(1,n)
if x in numbers:
br... |
986,472 | 29866d116c0678cb36864efec04d868e24e7d9f1 | #a
a,b=map(int,input().split())
if a%10==0:
a=str(a)
c=0
for i in range(len(a)-1,-1,-1):
if a[i]=='0':
c+=1
if b<=c:
print(a)
else:
a=a[:-c]
a=a+'0'*b
print(a)
elif 10%(a%10)==0:
no=int('1'+'0'*b)
while True:
if no%a==0:
print(no)
break
else:
no+=int('1'... |
986,473 | b1c3954aaabe29dd26ba5d59496ba698ad901b08 | import arcpy
arcpy.env.overwriteOutput = True #sirve para sobreescribir los elementos
arcpy.env.workspace ="D:/ShapesPruebasSegmentacionUrbana"
arcpy.MakeTableView_management("D:/ShapesPruebasSegmentacionUrbana/ShapesFinal/zona_aeu", "zona_aeu_x")
arcpy.MakeTableView_management("D:/ShapesPruebasSegmentacionUrban... |
986,474 | 4b39cfd9888e984c49bc5bd5977661d0795c66cd | '''
Сколько совпадает чисел
Даны три целых числа. Определите, сколько среди них совпадающих.
Программа должна вывести одно из чисел: 3 (если все совпадают),
2 (если два совпадает) или 0 (если все числа различны).
'''
a, b, c = int(input()), int(input()), int(input())
if a == b == c:
result = 3
elif a == b or a =... |
986,475 | b7bc776cf5dbd68b81add53c44c11480494dbccb | #!/usr/bin/python
import json
import requests
from requests.exceptions import MissingSchema
"""
Stand alone module with all the functionality to grab
geolocation data from the http://api.sba.gov site and
write it into a file.
"""
def read_url(url):
"""
Tries to open a url, read its response and return it. ... |
986,476 | abdb59ea3afe450c12cb7748ba84cc121d7a8440 | import os
base_dir = '/mac/okehara/dev/keras_teset'
train_dir = os.path.join(base_dir, 'train')
test_dir = os.path.join(base_dir, 'test')
validation_dir = os.path.join(base_dir, 'validation')
# from keras import layers
# from keras import models
#
# model = models.Sequential()
# model.add(layers.Conv2D(filters=32,
#... |
986,477 | b240ca220aaa866d44f20e6a6b10824cc8cacf17 | # gearman-collectd-plugin - gearmand_info.py
#
# 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; only version 2 of the License is applicable.
#
# This program is distributed in the hope that it wi... |
986,478 | e0cf5e6ab0fc4d76e0d47d2d8072babe6cf5c54b | # -*- coding: utf-8 -*-
# ===========================================================================
# The waveform and spectrogram plot adapted from:
# [librosa](https://github.com/bmcfee/librosa)
# Copyright (c) 2016, librosa development team.
# Modified work Copyright 2016-2017 TrungNT
# ===========================... |
986,479 | 44991cc0c929e66cf70d1db1fddd040cf5b4a412 | from django.contrib import admin
from embed_video.admin import AdminVideoMixin
from .models import Song, VideoQuery, Choices, ActualSong
class SongAdmin(AdminVideoMixin, admin.ModelAdmin):
"""Админка песен"""
list_display = ("video", "name", "author", "duration_video")
admin.site.register(Song, SongAdmin)
cl... |
986,480 | 0f434b71630a9cb4e4a0a3212ffdc65cf2057806 | from rest_framework import routers
from .api import LeadViewSet
routers = routers.DefaultRouter()
routers.register('api/lead',LeadViewSet,"lead")
urlpatterns = routers.urls |
986,481 | afce968234ea595bbe32b98f12bcd1769f1dd105 | #!/usr/bin/env python
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# ---------------------------------------------... |
986,482 | 99561a17e389d817f2636345ade0bc7c63d7b85f | from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.core.exceptions import PermissionDenied
from django.http import HttpResponse, JsonResponse
from django.conf import settings
from django.shortcuts import render, redirect, get_object_or_404
import logging
import js... |
986,483 | 9e90cd2c83906481156889028d06b7598f8f9260 | import matplotlib.pyplot as plt
import numpy as np
import os
import glob
import mn.plot.genplotlib as genplotlib
class CibData:
def __init__(self, paramsfile, resultsfile):
self.paramsfile = paramsfile
self.resultsfile = resultsfile
def Gendata(self):
d = {}
... |
986,484 | cab7ee75ffb42e73895da865424006bbdd51d29d | prompt = ("\nPlease enter your name.")
prompt += ("\nEnter q to quit.")
while True:
guest = input(prompt)
if guest == 'q':
break
else:
print(guest.title()) |
986,485 | 87ab31b8f156b076bb2b7c46985eb6bcef200891 | import re
import os
import pdfplumber
import codecs
import pandas as pd
# Массив с номерами дела
number = list()
# Массив с датой дела
date = list()
# Массив с номером суда дела
court_number = list()
def info_coolect(pdf_file):
"""Собираем массивы с № приказов, датами и № участков"""
# Читаем первую страницу... |
986,486 | dc0fee3f9a6069ec9e76fe009462d39eb276cadf | #!/usr/bin/env python
# code:UTF-8
# @Author : Sasuke
import unittest,time
from testfarm.test_program.app.weixin.element.main_page import HomePage
from testfarm.test_program.app.weixin.element.master_page import MasterPage
from testfarm.test_program.app.weixin.element.statement_page import Statement
from testfarm.test... |
986,487 | a68f8a8f95882f62af30feb1a0aec4cd0fbcbae2 | # Generated by Django 2.0.1 on 2020-01-27 04:37
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0033_auto_20200127_0428'),
]
operations = [
migrations.AddField(
model_name='settings',
name='not_found_url'... |
986,488 | 8d3d19e00cc922651d56112a898c885dcb2a6709 | from django.http import HttpResponse
from django.template.loader import get_template
from Domain.models import Boda
from Domain.models import Lugar
from .models import FiestaEvento, AlimentoCarrito, Alimento, EntretenimientoCarrito, Entretenimiento
from Ceremonia.models import CeremoniaEvento
from django.contrib.auth.d... |
986,489 | a971489a75d066a1c5929c69ca3687c2ba99cf70 | import os
import cv2
import numpy as np
import random
# structure of the bounding boxes should be (left, top, right, bottom, label)
def random_horizontal_flip(img, bounding_boxes):
p = 0.5
img_center = np.array(img.shape[:2])[::-1]/2
img_center = np.hstack((img_center, img_center))
if random.random() < p:
img... |
986,490 | dc7c5fa7226e48bdafb28845a8f608d40305c331 | class P1:
def m1(self):
print("m1 method")
class P2:
def m1(self):
print("m2 method")
class child(P1,P2):
pass
obj=child()
obj.m1()
|
986,491 | 1b8dc1c75cf7fa93904f4bb941f6b905d0aab1d0 | from ..base import AutoEncoderBase
from ..config import Config
from itertools import chain
import torch
from torch import nn, Size, Tensor
import torchvision.transforms as trans
from typing import Callable, List
class AutoEncoder(AutoEncoderBase):
def __init__(
self,
input_dim: Size,
... |
986,492 | 8250dc7a50d3f3d2c0b08d7cd61d010037f52fae | print("For equation: ax^2 + bx + c = 0: ")
a = int(input("Enter a: "))
b = int(input("Enter b: "))
c = int(input("Enter c: "))
d = b**2 - 4*a*c
if (d < 0):
print("The equation has no solution")
elif (d == 0):
x = -b / 2*a
print("The equation has one solution: x = ", x)
else:
x = (-b + d**(1/2)) / 2... |
986,493 | 2a0f72da4883a9d5becf0c4924af1fb362a40699 | # coding=utf-8
# This is part of the ProFormA Editor
#
# This proformaEditor was created by the eCULT-Team of Ostfalia University
# http://ostfalia.de/cms/de/ecult/
# The software is distributed under a CC BY-SA 3.0 Creative Commons license
# https://creativecommons.org/licenses/by-sa/3.0/
#
# THE SOFTWARE IS PROVIDED... |
986,494 | 920c7284f060a278551d1c7f8d6b125facc8a053 | # -*- coding: utf-8 -*-
import numpy as np
from pyorderedfuzzy.ofnumbers.ofnumber import OFNumber
from pyorderedfuzzy.ofmodels.ofseries import OFSeries, init_from_scalar_values
__author__ = "amarszalek"
def ofnormal(mu, sig2, s2, p):
dim = mu.branch_f.dim
minf = np.min(mu.branch_f.fvalue_y)
ming = np.mi... |
986,495 | 5a44b66013bf4b9d361062c0d0e317a4f3bcb414 | import discord
from discord.ext.commands import Bot
from discord.ext import commands
import asyncio
import time
import random
Client = discord.Client()
client = commands.Bot(command_prefix = "$")
viplist = ("246993761673019394", "361888183505649664")
allowlist = ("kop","munt")
isresetting = False
with open("coins.txt"... |
986,496 | 6995f1f09e25013c0b627782400bef20a7b75786 | class Shape():
def __init__(self, cd):
self.cd = cd
def area(self):
return self.cd
class Square(Shape):
def __init__(self,cd):
Shape.__init__(self, cd)
self.cd = cd
def area(self):
return self.cd * self.cd
sa = Square(3)
print(sa.area())
|
986,497 | 438720c1705ac7abd457242d6001b58822da17ec | from django.urls import path
from . import views
urlpatterns = [
path('' , views.employee_list, name='list'),
path('form/', views.employee_form, name='form'),
path('<int:id>/', views.employee_form, name='edit'),
path('delete/<int:id>/', views.employee_delete, name='delete'),
] |
986,498 | dd24b68e8e4126a74ec12984eb4a10fc67d59ab7 | #!/Users/mnicolls/Documents/Work/Madrigal/bin/python
import sys, os, traceback
import cgi
import time
class madCalculatorService:
"""madCalculatorService is the class that allows remote access to the "madCalculator.py":../scripts/madCalculator.py.html script.
Like all my python cgi scripts, madCalcula... |
986,499 | 0d021bc30afd46fba140ee16f964eeab73cd16ba | #!/usr/bin/python
# coding: utf-8
from __future__ import print_function
from __future__ import division
from math import sqrt
from itertools import count, islice
import random
import math
import sys
#nr_of_tasks = int(raw_input())
bins = []
bins2 = []
range_small = (16384,32767)
range_large = (1073741824,2147483647)... |
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