index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
989,700 | 0f64f9e31f84aef54505cf07853d70a24620c07a | """
Base class for all IxExplorer package tests.
@author yoram@ignissoft.com
"""
from os import path
from trafficgenerator.tgn_utils import ApiType
from trafficgenerator.test.test_tgn import TgnTest
from ixexplorer.ixe_app import init_ixe
class IxeTestBase(TgnTest):
TgnTest.config_file = path.join(path.dirna... |
989,701 | 89422d8dd39328cfa315482100e29519b3ee4269 | # -*- coding: utf-8 -*-
"""
Example showing how to run the bilinear algorithm
@author: alex
"""
import numpy as np
from wsdp_utility import *
from wsdp_export import *
from wsdp_alg_base import *
from wsdp_alg_bilinear import *
np.random.seed(19)
# Create SDE structure from weak SDP by defining sizes of each conse... |
989,702 | 48fa12d443e366521e69862f5a55755b57839464 | #NOTE: intersect a list of subjects with specific data fields in a table
import argparse
def parse_args():
parser=argparse.ArgumentParser(description="intersect a list of subjects with specific data fields in a table")
parser.add_argument("--subjects_file")
parser.add_argument("--table")
parser.add_argu... |
989,703 | 4d0d4510fc44fc38220110366be066282369474a | #! /usr/bin/env python
# =====================================================
# INPUTS
# =====================================================
#ST SF for TT and WJets, HT for WJets
#path2016 = "/Users/amodak/VLQ/NanoPostProc/files/NanoAODv5/2016/11May2020_noToppt_applySTtoTTWJets/";
#path2017 = "/Users/amo... |
989,704 | 8bc2c72cde7074b4bbdbf492c23bd70ecdd3c81a | #!/usr/bin/python3
"""
Takes a CTM (time aligned) file and produces an Elan file.
If the CTM has confidence values, write them as a ref tier.
Copyright: University of Queensland, 2021
Contributors:
Ben Foley - (University of Queensland, 2021)
Nicholas Lambourne - (University of Queensland, 2... |
989,705 | 65815d19d9dfa6e6cde6ee047b5caaa63436d53b |
print ((lambda a,b,c,d: a**b+c**d )((int(input())),(int(input())),(int(input())),(int(input()))))
|
989,706 | 67c7a194f8feabeea88293c199daf35d7680957a | #coding=utf-8
from time import sleep
from public.common import mytest
from public.pages import XeroLoginPage
from public.pages import XeroDashboardPage
from public.pages import XeroBankAccountsPage
from public.pages import XeroChartOfAccountsPage
from public.common import datainfo
from public.common import pyselenium
... |
989,707 | e9435932f56ac1b2a787a1355271c257a7013ebe | from django.shortcuts import render
from django.contrib.auth.models import User
from django.db.models import Sum
from django_filters import FilterSet
from django_filters import rest_framework as filters
from rest_framework import viewsets
from rest_framework.filters import OrderingFilter
from rest_framework.exceptions ... |
989,708 | e03d0698ad44bf9fb0fc82c16fe95299a2d10470 | #!/usr/bin/python
import email, sqlite3, glob, os
from email.header import Header, decode_header, make_header
from sendtelegram import SendTelegram
from loadblacklist import LoadBlacklist
from loadconfig import LoadConfig
os.system("offlineimap")
conn = sqlite3.connect('mail.db')
c = conn.cursor()
c.execute('CREATE ... |
989,709 | b4b8b5d1ec64e73a09d917f3c6ccf93ef025202b | import os
def calculateMaskIntersection(mask_list, fsl_path, workdir, output_name, output_dir):
output_mask = os.path.join(workdir, 'combined_mask.nii.gz')
base_string = '%s -t %s' % (os.path.join(fsl_path, 'fslmerge'), output_mask)
for i in mask_list:
base_string = base_string + ' ' + i
os.sys... |
989,710 | 3a13d9553648a7ad91dc34e7eb5037423a0e725f | # coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# 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 applicab... |
989,711 | 9fe59b3bafcd89da467c942e3cc03765c984dc0d | from flask import Flask, render_template
from flask import jsonify, request
import flask
from safety import check_safety_dflow
from safety import imgTogif
from safety import darkflow_check
from darkflow.net.build import TFNet
import base64
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from... |
989,712 | 536599aaf20130666ae7ade51eff4e5d358ba59d | #=========================================================================
# regincr-adhoc-test <input-values>
#=========================================================================
# Note that you can turn on line tracing, text waveforms, and VCD
# waveforms by adding these options to the DefaultPassGroup.
#
# mo... |
989,713 | a2a5ade696b6ac426421ce803995c5893231b4e1 | from abc import ABCMeta, abstractmethod
class Transition(object):
__metaclass__= ABCMeta
@abstractmethod
def get_trigger(self):
pass
class DefaultTransition(Transition):
def __init__(self, lt_type, label, role):
self.role = role
self.label = label
self.lt_type = ... |
989,714 | e6b417ee81674a7c3a1d882cf8a26a8387a8ea18 | # ----------------------------------------------------------------------------
# "THE BEER-WARE LICENSE" (Revision 42):
# dkratzert@gmx.de> wrote this file. As long as you retain
# this notice you can do whatever you want with this stuff. If we meet some day,
# and you think this stuff is worth it, you can buy me... |
989,715 | 39818e93ce65cd4095c2fffa562be58f5f266c8c | import logging
from time import sleep
import click as click
import yaml
from bb8.process.cmd import get_return_code
from bb8.script.config import default_config_file
class CheckResult:
def __init__(self):
self.last_failed = 0
self.last_output = None
def add(self, return_code, output):
... |
989,716 | f50ef2f1c6509e2b163ebdadfe6ab2380eb62335 | import numpy as np
import pandas as pd
import pypianoroll as pyp
datadir = '/Users/sorensabet/Desktop/MSC/CSC2506_Project/data/Generated MIDI/'
mt = pyp.read(datadir + 'major_36_16th_MEL_TWINKLE.mid')
print(mt)
# mt.resolution: Temporal resolution in timesteps per quarter note
# mt.tempo: Tempo of the song at ... |
989,717 | 0cf9228d265ab38c4470bdc41fbd142a294f1ff6 | """
Module containing all player methods and data
"""
import random
INTRO = """
You've entered a world where everyone is dead. You're the only one left
and you're also almost dead. You're also borderline insane and have an
infatuation with kittens that is rivaled by none. Armed with your purse, and
your lack of... |
989,718 | 8dcf1583f38994abd8ef817e94b6baf78edf1f30 | # -*- coding: utf-8 -*-
"""
CSC373 Data Mining
Assignment 2: Classification
Author: Tianqi Hong, Han Bao, Michael Si
Date: 09/24/2020
Description:
"""
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
# this is to ask the user to enter their address for the file
err = 0
dir... |
989,719 | 74b43479a147a45a1fad1dd8c2a41b880b0aef73 | import datetime
import os
import tempfile
import fiona
from fiona.crs import from_epsg
from shapely.geometry import mapping
VALID_LEVELS = ["LAT", "MSL"]
def tide_values_from_dfs0(mikepath, meta, dfsfilepath, level):
"""Read and extract values from dfs0 file using DHI.Generic.MikeZero.DFS.
Parameters
--... |
989,720 | 203ca074de957e3ccdd6fcda9e1786e0d3f6069d | # -*- coding: utf-8 -*-
import math
import unittest
from gatilegrid import getTileGrid, GeoadminTileGridLV03, \
GeoadminTileGridLV95, GlobalMercatorTileGrid, GlobalGeodeticTileGrid
class TestGeoadminTileGrid(unittest.TestCase):
def testgetTileGrid(self):
tileGrid = getTileGrid(21781)
self.as... |
989,721 | 2d2622a99010a2c05a2b4fee90194875b8166e9e | import unittest
import numpy as np
import pandas as pd
from pandas.testing import assert_frame_equal
from strats.threshold_momentum import (
threshold_momentum_returns,
threshold_momentum_limit_returns,
threshold_momentum_holdout_returns)
def single_col_df(series):
return pd.DataFrame({'AAPL': seri... |
989,722 | 14ad9b85b170dee3258003a9c23c9b0d12668d62 | import json
import os
from os import environ, path
from anonymizeip import anonymize_ip
from flask import Flask, jsonify, redirect, request
app = Flask(__name__)
current_dir = path.dirname(path.realpath(__file__))
path_list = current_dir + "/icon-sets.json"
path_cache = current_dir + "/cache"
path_views = path_cache ... |
989,723 | 2c382528d7b80327eb4d8ce21dfe24845c2eab5f | a=input('input n1=')
a=int(a)
b=input('input n2=')
b=int(b)
c = a + b
print(c) |
989,724 | 49ff54b5e03d653dc0d0b405f47ff69eac76a99d | from datetime import timedelta
import datetime
from django.contrib.auth.models import User
from django.core.serializers.json import DjangoJSONEncoder
from django.core.urlresolvers import reverse
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import render_to_response, render
fro... |
989,725 | 97b323284d40c3bbac416158a06053defb53aff4 | """Definition of shape inference for primitives."""
import operator
import numpy
from dataclasses import is_dataclass
from functools import partial, reduce
from ..dshape import NOSHAPE, TupleShape, ListShape, ClassShape, \
find_matching_shape, shape_cloner
from ..dtype import Array, Tuple, List, Class, TypeType, ... |
989,726 | 182fade649f97f22620de621f4898bb2c0011586 | from __future__ import division
import numpy as np
from numpy.linalg import svd, qr, cholesky
# Solves Ax = b with svd.
def solve_svd(A, b):
assert len(A[0]) == len(b)
U, S, V = svd(A)
UTb = np.dot(np.transpose(U), b)
w = np.divide(UTb, S)
return np.dot(np.transpose(V), w)
def solve_QR(A, ... |
989,727 | fe6d72d7bdca46f7be40ba20f5b0b4ad585a6d22 | """Tests for the Tag model."""
from conduit.openapi import json_renderer
from conduit.tag.models import Tag
from pyramid.testing import DummyRequest
import json
def test_json_renderer(dummy_request: DummyRequest) -> None:
"""Test that Tag is correctly rendered for an OpenAPI JSON response."""
tag = Tag(name... |
989,728 | 37cf7a8990744c39e635a72729d11c7910048bc6 | import sys
from collections import deque
from astar import RoutingProblem
from ways import graph, info
from ways.tools import compute_distance
r = graph.load_map_from_csv()
problem = RoutingProblem(0, 0, r)
def idastar_search(s, t):
problem.goal = t
problem.s_start = s
max_speed = max(info.S... |
989,729 | d64dad1e8b804abf7f4638710f56a238df9d605b | import zope.interface
class ILicenseEditForm(zope.interface.Interface):
"""Marker interface for LicenseEditForm."""
|
989,730 | 1a5459a26f728c67e0cc7114946c96f6cbe64abb | # -*- coding: UTF-8 -*-
import jieba
import jieba.posseg as jbps
import jieba.analyse as jban
import sys
reload(sys)
sys.setdefaultencoding('utf8')
def add_freq_word():
jieba.suggest_freq('原告', True)
jieba.suggest_freq('诉称', True)
def divide_sentence(str):
result_set = jbps.cut(str, HMM=False)
ret... |
989,731 | 134ba21adf0a559cca8ddd63bde0ddd59e837ac3 | # -*- coding: utf-8 -*-
# Generated by Django 1.9.7 on 2016-06-17 06:51
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('nettest', '0008_monitable'),
]
operations = [
migrations.CreateModel(
... |
989,732 | 402460ac392751bb58dc3a682271ca2c93cd641e | def result(type, id, **kwargs):
kwargs['type'] = type
kwargs['id'] = id
return kwargs
def article(id, title, input_message_content, **kwargs):
return result('article', id, title=title, input_message_content=input_message_content, **kwargs)
def photo(id, photo_url, thumb_url, **kwargs):
return resu... |
989,733 | eab5d1c522bcd7923f29d85613840bc87cce39eb | from collections import defaultdict
def digits(n):
count = 0
while n > 0 or count < 3:
yield n % 10
n //= 10
count += 1
def parse_inst(memory, inst_ptr, rel_base):
opcode = memory[inst_ptr] % 100
modes = memory[inst_ptr] // 100
if opcode in (1, 2, 7, 8):
inst = li... |
989,734 | 863b9c67d15ab4fd1ca4e8928fa32eac0269aed8 | from Start_up import*
from Bullet import Bullet
class Enemy(pygame.sprite.Sprite):
# class to hold an enemy taking the random variables given in the game class
def __init__(self, id):
self.surface = pygame.Surface((20, 20))
self.rect = self.surface.get_rect()
self.pos = (width, height... |
989,735 | 26f32dcb7c857c0c1a4e8cecc00d0b75fe8e1681 | # Required Python Packages
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn.metrics import accuracy_score
from sklearn.metrics import confusion_matrix, log_loss
import subprocess
from... |
989,736 | bb2f3f1064da409c8a7168f148f00bb7999df2fb | from .base import GameServerPacket
class ServerSocketClose(GameServerPacket):
type = Int8(175)
constant = Int32(0)
arg_order = ["type", "constant"]
|
989,737 | 8a7ee6cb932576d44753cc8997ca6463769dea3d | count = 0
w = input()
while True:
tmp = list(input().split())
if 'END_OF_TEXT' in tmp:
break
for i in tmp:
x = str.lower(i)
if x == w:
count = count + 1
print(count)
|
989,738 | 081a25d0e17a88ef7b85b46dbeab8e4d87fcb75f | import sys
fileName="Practice\\MthElement.txt"
with open(fileName,'r') as fileLines:
for line in fileLines:
lineList=list(line.strip().split(" "))
index=(int(lineList[-1]))
if index>1 and index<len(lineList):
print(lineList[(len(lineList)-1)-index]) |
989,739 | 8a3ed8cd257d083990a32dca3ff3b4ce9ad05d8a | """
Copyright 2020 The Magma Authors.
This source code is licensed under the BSD-style license found in the
LICENSE file in the root directory of this source tree.
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES O... |
989,740 | 3ff5ed0705527cacfd02d590619d0abbde1a2d7b | # Write a function, `rec_intersection(rect1, rect2)` and returns the
# intersection of the two.
#
# Rectangles are represented as a pair of coordinate-pairs: the
# bottom-left and top-right coordinates (given in `[x, y]` notation).
#
# Hint: You can calculate the left-most x coordinate of the
# intersection by taking t... |
989,741 | 9da430ec4ca97779bcd954a207819c4aa8afaab7 | # -*- coding: utf-8 -*-
import scrapy
from scrapy.http import HtmlResponse
from JP.items import JpItem
from bs4 import BeautifulSoup as bs
class SjruSpider(scrapy.Spider):
name = 'sjru'
allowed_domains = ['superjob.ru']
start_urls = ['https://russia.superjob.ru/vacancy/search/?keywords=%D1%82%D0%B0%D0%BA%... |
989,742 | 6162b1cefd07f0e75a1c9ca88a9245712b8c1bb2 |
#app.run('127.0.0.1',port=5000,debug=True)
from flask import Flask , render_template , jsonify ,request, session, redirect, url_for # render_template 안에서 html 사용
import requests
from bs4 import BeautifulSoup
#엑셀 파일 생성 시 필요
from openpyxl import load_workbook, Workbook
import jwt
import datetime #로그인시 토큰시간 지정
impo... |
989,743 | ec5802339bbee323d533b1b4d2c91c2c2fd39800 | print('-' * 40)
print(f'{"LOJA SUPER BARATÃO":^40}')
print('-' * 40)
mais_de_1000 = total_compra = preco_produto_mais_barato = 0
nome_produto_mais_barato = ''
while True:
produto_atual = str(input('Nome do Produto: ')).title().strip()
preco_atual = float(input('Preço: R$'))
while preco_atual <= 0:
... |
989,744 | 9183ef475c6a23eaddb00b615cee5631739269f6 | """
This script makes used of face_recognition library to calculate the 128D descriptor to be used for face recognition.
"""
# Import required packages:
import face_recognition
import cv2
# Load image:
image = cv2.imread("jared_1.jpg")
# Convert image from BGR (OpenCV format) to RGB (face_recognition format):
image ... |
989,745 | 5c7aadb708dea18d1e3b1d838269b966b54c66ef | # -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2016-07-15 15:34
from __future__ import unicode_literals
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('logrounds', '0040_auto_20160713_1210'),
]
operations = [
migra... |
989,746 | 8f563fc80bc3144f0876d495e77aca4c5cb0b5fb | # KAMUS
# tanggal : string
# db_consumable : variabel global dari load data / matriks consumable.csv
# db_consumable_history : variabel global dari load data / matriks consumable_history.csv
# db_user : variabel global dari load data / matriks user.csv
# riwayatambil() -> F13
def matriks(csv):
# I.S. men... |
989,747 | 470a56a788737d6a526344b22921e8c209b43105 | #A Boolean expression is an expression that evaluates to produce a result which is a Boolean value
a = 3
b = 4
ketqua = a == b
print (ketqua)
9==9
print (9==9)
"hi"+"ha"=="hiha"
print ("hi"+"ha"=="hiha")
|
989,748 | b374db30ce1cff1eebf5ec435d7b7ad5afd03631 | import json
from board_tile import BoardTile
from location import Location
class BoardTileParser:
@staticmethod
def get_tiles(data, mapWidth, mapHeight):
tiles = []
for col in range(0, mapWidth):
for row in range(0, mapHeight):
location = Location(col, row)
... |
989,749 | b27221e3dc1a6c66d1fa33af664bcc0808d8dab4 | #__coding__:'utf-8'
#auther:ly
import requests
class HttpRequest:
'''该类主要是完成http的get和post请求，并返回一个消息实体，可通过text，json（）查看具体内容,cookies = cookies'''
def http_request(self,method,url,params,header):
if method.upper() == 'GET':
try:
resp = requests.get(url,params=params,headers =... |
989,750 | d0a5bbe2867d282b12b1ac4e73e3b2b63d49fc4e | from jnpr.junos import Device
from jnpr.junos.op.ethport import EthPortTable
from getpass import getpass
from pprint import pprint
a_device = Device(host="srx2.lasthop.io", user="pyclass", password="")
a_device.open()
ports = EthPortTable(a_device)
ports.get()
pprint(ports)
pprint(ports.keys())
pprint(ports.values())
... |
989,751 | 131ad8ab2c18ade4ca2211a33e31e0c02a9d7a47 | from flask import Flask, render_template, request, url_for, redirect, abort, make_response
app = Flask(__name__)
@app.route('/str')
def return_str():
return '返回了str'
@app.route('/page')
def return_page():
# return '返回了一个页面'
return render_template('index.html', msg='登录用户名或密码错误')
# post方式请求
@app.route(... |
989,752 | 7386127c3690af137ca4dc8e744b6ab2f5c6650c | #!/usr/bin/env python3
import argparse
import logging
import sys
import config_system
import config_system.log_handlers
import config_system.config_json
root_logger = logging.getLogger()
root_logger.setLevel(logging.WARNING)
# Add counting Handler
counter = config_system.log_handlers.ErrorCounterHandler()
root_log... |
989,753 | 9b32e8ab1d5eb95d5d665a36cbffaf92fc88b2fc | """
仅用于datax从MySQL和Oracle往hive中抽数使用
生成和源表结构一致的hive建表语句文件并在hive中建表
生成datax配置json文件
"""
import pymysql
import cx_Oracle as oracle
import pandas as pd
import os
import json
import sys
class datax_db_2_hive(object):
"""docstring for datax_db_2_hive
connect_id为配置文件的id，根据id取数据库连接
table = 为mysql、Oracle表名，hive表名需... |
989,754 | 4768b6917bc8bf9484dbbb4970fdb591d44aadb2 | from . import transforms
from .amaxa import *
from .constants import *
|
989,755 | 5f79bd0130efca92197561dd48c048557c31489b | import numpy as np
from scipy.optimize import minimize
def action(path, vf_func, D=1, dt=1):
# centers
x = (path[:-1] + path[1:]) * 0.5
v = np.diff(path, axis=0) / dt
s = (v - vf_func(x)).flatten()
s = 0.5 * s.dot(s) * dt / D
return s
def action_aux(path_flatten, vf_func, dim, start=None, ... |
989,756 | 49c8e51d3b3bbe5d19fd913b6a1ed71507160c2e | #Excercise 1
def sleep_in(weekday, vacation):
if not weekday or vacation:
return True
else:
return False
# Given 2 int values, return True if one is negative and one is positive.
# Except if the parameter "negative" is True,
# then return True only if both are negative.
def pos_neg(a, b, negative):
if... |
989,757 | 09a2bd840a001961d4420714a8149fe746361ea9 | from pets_world import __version__
import pytest
from pets_world.pets_classes import Pet, Cat, Dog
def test_version():
assert __version__ == '0.1.0'
def test_pets_counter(data):
assert Pet.get_pets_count() == 4
def test_cat_has_hair(data):
assert data[0].has_hair == True
assert data[1].has_hair ... |
989,758 | a48818d762b0f9d4b753440b59b2f1e14b7d2058 | #!/usr/bin env python
scaleUnc = {1000:
{"up": [1.0, 0.932801544666, 0.686887860298, 0.683348536491],
"do": [1.0, 1.07134735584, 1.65871071815, 1.68442952633]
},
2000 :
{"up": [1.0, 0.864271104336, 0.625839948654, 0.624607920647],
"do": [1.0, 0... |
989,759 | fbbee029b7cd97e0c891b8f99279ef4d63849eef | class Solution:
def isHappy(self, n: int) -> bool:
is_repeat = set()
total = n
is_repeat.add(total)
while total != 1:
total1 = 0
for s in str(total):
s = int(s)
total1 += s * s
total = total1
if total in ... |
989,760 | a2cb81e30e0376c078ef15ebe23de794a26607cd | version https://git-lfs.github.com/spec/v1
oid sha256:631794cafc6cb55905b1c096936fd0395953c96cf34b5ff513b7671a80c708dc
size 2426
|
989,761 | c51474c79a6564acde5bdde23aab790c18d3c4ce | #!/usr/bin/env python
"""
Usage:
nmap_scan -H TARGETHOST -p PORT [-o]
nmap_scan -H TARGETHOST [-o]
Options:
-h --help Show this usage.
-v --version Show the version.
-H TARGETHOST The target host.
-p PORT The port to scan.
-o Show only open ports. [Default: F... |
989,762 | 08570319d692f61c7d5aa79a091c576316d01e5f | from .base_page import BasePage
from .locators import ProductPageLocators
class ProductPage(BasePage):
def should_book_into_box(self):
self.should_be_adding_to_basket_button()
self.add_book_to_basket()
self.solve_quiz_and_get_code() #for stepic task check
self.should_be_confirm_mes... |
989,763 | 09bb6df1552f232aa65b8fc06ebc4c490a86861f | from Tensor import Tensor
from Shape import Shape
from typing import List
from enum import Enum
import numpy as np
class Layer:
"""
Layer interface.
"""
# def get_input_shape(self) -> Shape:
# """
# Returns the shape of the input to this layer.
# """
# pass
#
#... |
989,764 | 9fa9c1d918a0c634baf5be4104197bc477961c08 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Copyright 2021 Recurve Analytics, Inc.
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... |
989,765 | a1b3181da147dcfad0661f4441c4e379b3c861fe | import numpy as np
import pandas as pd
import nrrd
import nibabel as nib
import os
import pickle
import random
import torch
import torchvision
import torchvision.transforms as transforms
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
from torch.utils.data import Dataset
from torch.u... |
989,766 | 00e20c4c46cf245850b535a15fe59c26a74fd1aa | import json
from bs4 import BeautifulSoup
def convertHtmlfile(name):
f = open("./html_files/{}.html".format(name))
soup = BeautifulSoup(f, features="html.parser")
table = soup.find(id='grd_itemlist')
rows = table.findChildren('tr', recursive=False)
head_row = rows[0]
headers = []
for he... |
989,767 | 721cee04f5a2af725df9f4da1df7adb2356cc089 | from __future__ import print_function
'''
( 'ptr_ext_lib' , ctypes.c_void_p ), # @ b6b3ef68 /usr/lib/libQtCore.so.4.7.2
local python
b6c63000-b6efa000 r-xp 00000000 08:04 3426931 /usr/lib/i386-linux-gnu/libQtCore.so.4.7.4
b6efa000-b6f01000 r--p 00296000 08:04 3426931 /usr/lib/i386-linux-gnu/libQtCore.so.4.... |
989,768 | f7e2fbe2fc35d5abc1f6691cecc5750c656c601f | cont = 10
lista = []
lista2 = []
while(cont):
x = input()
y = input()
r = (x + y)/2
r2 = x - r
lista.append(r)
lista2.append(r2)
cont = cont -1
cont = 0
while(cont < 10):
print(lista[cont])
print(lista2[cont])
cont = cont + 1 |
989,769 | 21792277622aacba7ee05729ece090a7bea46184 | """
Django settings for barbex_tech project.
Generated by 'django-admin startproject' using Django 1.11.2.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.11/ref/settings/
"""
impor... |
989,770 | e048af6cb527e92bdb2d05708b675052f032a7b2 | from room import Room
from player import Player
from world import World
import random
from ast import literal_eval
# Load world
world = World()
# You may uncomment the smaller graphs for development and testing purposes.
# map_file = "maps/test_line.txt"
# map_file = "maps/test_cross.txt"
# map_file = "maps/test_lo... |
989,771 | 33c0ad63e702526cd0d5060ec74cc335eae3234e | import numpy as np
values = [1,2,3,4,5];
x=np.multiply(values,5);
y=values*5;
print(x==y);#false
print(x);
print(y);#repeats matrix sequence 5 times
|
989,772 | 04f24f557d700684e60f0ad84b5f8e18421b4c37 | import dpkt.pcap
# print("Enter the path of the pcap file to be parsed:")
# path = input()
# f = open(path, 'rb')
f = open('assignment3_my_arp.pcap', 'rb')
pcap = dpkt.pcap.Reader(f)
count = 0
# helper function for changing bytes to MAC address
def toMAC(address_bytes):
res = ""
for i in range(len(address_byte... |
989,773 | eaa7093e28ce3b3e40d9f2b33e726972d6f28062 | def biggest(r, l, u, d):
big = r
if big<l:
big = l
if big<u:
big = u
if big<d:
big = d
if big==r:
return "right"
if big==l:
return "left"
if big==u:
return "up"
return "down"
print (biggest(1, 2, 2, 0))
print (biggest(18, 2, 2, 0))
i = 1
j = 1
print(i==j) |
989,774 | 099ef489a3dc9e794139aa5f695546ee006ee4ea | lista = []
for c in range(0,5):
a = int(input('Escreva um número: '))
if c == 0 or a > lista[-1]:
lista.append(a)
else:
pos = 0
while pos < len(lista):
if a <= lista[pos]:
lista.insert(pos, a)
break
pos += 1
print('-=' * 30)
pr... |
989,775 | 3894dce5f185f859aeb021a25550fd024bc3c5ac | import bpy
from bpy.types import NodeTree, Node, NodeSocket
# import itertools
from bpy.app.translations import pgettext_iface as iface_
# import time
class NodeOperators(bpy.types.Operator):
"""Tooltip"""
bl_idname = "node.noter_operator"
bl_label = ""
action: bpy.props.StringProperty()
@cla... |
989,776 | 396992979563d42de62b7953f1d16f02d361dae4 | #!/usr/bin/env python
from raco import RACompiler
from raco.language import MyriaAlgebra
from raco.myrialang import compile_to_json
import json
def json_pretty_print(dictionary):
"""a function to pretty-print a JSON dictionary.
From http://docs.python.org/2/library/json.html"""
return json.dumps(dictionary, s... |
989,777 | 00eeab94d18d7a58188df6329aeb90c1e8f24a0d | import re
nameRegex = re.compile(r'First Name: (.*) Last Name: (.*)')
mo1 = nameRegex.search('First Name: Aleksey Last Name: Kaunnikov')
print(mo1.group(2)) |
989,778 | f4bf4534aeb2029b165dd4b3b7bd58b16839f84b | n=int(input())
arr=list(map(int,input().split()))
avg=sum(arr)/float(n)
print('%.6f'% avg) |
989,779 | 00cb62e2766658857f849e86bab168a1401cd795 | class WrongParametersError(Exception):
def __init__(self, field_name):
self.message = f'Field {field_name} has an incorrect value.'
def __str__(self):
return self.message
|
989,780 | c7a25bff63df9939af0c3f308ae4c34e19d5d90a | #
# @lc app=leetcode id=402 lang=python3
#
# [402] Remove K Digits
#
# @lc code=start
# TAGS: Greedy
# REVIEWME:
class Solution:
# 32 ms, 90.71%.
def removeKdigits(self, num: str, k: int) -> str:
rv = []
for n in num:
while rv and rv[-1] > n and k:
rv.pop()
... |
989,781 | 10045274fe412a71277da2bab5e92fb7abf7e6b0 | __author__ = 'PCW-MacBookProRet'
from PyQt5 import QtCore
from PyQt5.QtGui import QIcon, QKeySequence, QFont
from PyQt5.QtWidgets import (QAction, QApplication, QFileDialog, QMainWindow,
QMessageBox, QTextEdit, QDialog, QMenuBar, QMenu)
from PyQt5.QtPrintSupport import QPrintDialog, QPrinter
class ui_TextEdit... |
989,782 | 1205b98439daa78cf3954b58f60b1a1a51624440 | # always use UTC time
# import time
# # UTC in a named tuple, time = 0 starts on jan 1 1970
# print(time.gmtime(0))
#
# # local time
# print(time.localtime())
#
# # epoch, number seconds since jan 1 1970
# print(time.time())
# print()
#
# # extract parts
# time_here = time.localtime()
# print(time_here)
# print("Year... |
989,783 | e213f886db0a00fc92e57806b97a1763d4a0614c | import unittest
import os
import sys
test_dir = os.path.dirname(os.path.abspath(__file__))
corpustools_path = os.path.split(os.path.split(os.path.split(test_dir)[0])[0])[0]
sys.path.insert(0,corpustools_path)
from corpustools.corpus.io import (download_binary, save_binary, load_binary,
... |
989,784 | e1cb1a9cba1b4be4a1f7cb2a19d5bb4c4a2c59ed | from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Sequence
from aiohttp.web import HTTPCreated, HTTPNoContent
from yarl import URL
from .core import ClientError, _Core
from .utils import NoPublicConstructor
class Action(str, Enum):
READ = "read"
WRITE = "write"
... |
989,785 | d7e546b4c65395923932773951ecc2537de52af5 | cantantes = [" 2pac", "Drake", "Bad Bunny", "Julio iglesias"]
numeros = [1, 2, 5, 8, 3, 4,]
#ordenar listas
numeros.sort()
print(numeros)
#añadir elementos
cantantes.append("Natos y Waor")
cantantes.insert(1, "David Bisbal")
print(cantantes)
#eliminar elemetos
cantantes.pop(1)
cantantes.re... |
989,786 | 21da99adfeecec28a7e90db9d4dadae586024841 | #MenuTitle: Bind all anchors in a font with their node
# -*- coding: utf-8 -*-
__doc__="""
Bind anchors with a node in a font.
"""
import GlyphsApp
import vanilla
Font = Glyphs.font
Glyphs.clearLog()
Glyphs.showMacroWindow()
selectedLayer = Font.selectedLayers[0]
# glyph=selectedLayer.parent
for glyph in Font.gl... |
989,787 | a3ff65b34a1a646ac948f87aa1b257921397379a | from django.views import generic
from django.shortcuts import render, redirect, get_object_or_404, reverse
from django.http import HttpResponseRedirect
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
from .models import Event, Info, User
from .forms ... |
989,788 | fbde2b4d60f3e30130cdbc462fe6d8f1a12dc25b | import os
import sys
import time
import numpy as np
import scipy.ndimage as nd
import matplotlib.pyplot as plt
import operator
import math
img = nd.imread('images/digits.png')
nrow, ncol = img.shape[0:2]
xs = 10.
ys = xs*float(nrow)/float(ncol)
# plt.close(0)
# fig11, ax11 = plt.subplots(num=0,figsize=[xs,ys])
# fig1... |
989,789 | 772db08eba390beb54fec73cdd22d3e6cf8fe9e9 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import sys
import logging
from flask import Flask
import altcoinvw.util
from fullnode.node import *
from fullnode.webindex import *
from fullnode.webaltcoin import *
__all__ = []
BasePath = os.path.abspath(os.path.join(sys.argv[0], '../'))
Logger = logging.ge... |
989,790 | beedb14fe138a4f38042a8bd5b11918a2c14d94a | from model import ActorNetwork, CriticNetwork
from OUNoise import OUNoise
from utilities import hard_update
import torch
from torch.optim import Adam
import numpy as np
# import pdb
class DDPGAgent:
def __init__(self, state_size, action_size, num_agents,
hidden_in_actor=512, hidden_out_actor=25... |
989,791 | 099ed354a799204b3c2e75c026dbaaabe1fc8264 | def prime(n):
for i in range(2,n+1):
s=0
for j in range(2,i//2+1):
if i%j==0:
s=s+i
if(s<=0):
print(i)
prime(50)
|
989,792 | 68642dfe6aea428e9eb5443d17a73fceb20d9659 |
import requests
from auth import auth_data, save_auth_data
def do_refresh_token():
auth_code = auth_data['auth_code']
params = {
'grant_type': 'refresh_token',
# 'code': auth_data['auth_code'],
'refresh_token': auth_data['refresh_token'],
'client_id': auth_data['client_id... |
989,793 | 8b73dc33c4f95c31fcd3a92e5e23e9480d811768 | import hashlib
from datetime import datetime, date
from typing import Tuple, Union, Callable, Optional, List
import dateparser
from bs4 import BeautifulSoup
from definitions import CRYPTONIA_WORLD_COUNTRY, CRYPTONIA_MARKET_EXTERNAL_MARKET_STRINGS, \
FEEDBACK_TEXT_HASH_COLUMN_LENGTH, MD5_HASH_STRING_ENCODING
from ... |
989,794 | e5e84257f68ba0627609a806038ba638ffcd346d | from collections import OrderedDict
from datetime import datetime
from typing import Dict, List, Optional
import click
from git import Commit
from github.Issue import Issue
from cherrytree.github_utils import (
commit_pr_number,
deduplicate_prs,
get_access_token,
get_issue,
get_issues_from_labels,... |
989,795 | 2821c192270097bb78b6a5702dc7bb07758232e9 | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/cloud/automl_v1beta1/proto/text_extraction.proto
import sys
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
from google.protobuf import descriptor as _descriptor
from google.protobuf im... |
989,796 | d3e874a69384a768a99c869e072a1c9f8c339e72 | from scipy.io import savemat
from .JSON import clobber
def writeMatFile(data, fileName):
data = clobber(data)
savemat(fileName, data, appendmat = True)
return None
|
989,797 | 18fbba933ab69c84ef59f0a003d1072720f33b71 | import torch
from torch import nn
from torch import optim
from torch.utils.data.dataloader import DataLoader
import os
import pickle
from src.model.fasttext import FastText
from src.data_process.dataset import ClassifierDataset
def train(args):
os.environ['CUDA_VISIBLE_DEVICES'] = str(args.gpu)
base_path = './... |
989,798 | c4b93f010bda87100a3b4893854f3549a3a9fa96 | from dog import Dog
d1 = Dog("d1",10)
d2 = Dog("d2",12)
d1.setName("Aktos")
d2.setName("Tuzik")
name = d1.getName()
name2 = d2.getName()
d1.setAge(10)
d2.setAge(12)
age = d1.getAge()
age2 = d2.getAge()
print(name,age)
print(name2,age2)
print(d1)
print(d2)
from person2 import Person
p1 = Person("p1",21,d1)
dog_name = ... |
989,799 | 9a6ce3e012ee43bfd97bfce431ef3e48e0d952b6 | num_list=list(map(int,input().split(",")))
k=int(input())
if (max(num_list)-min(num_list))<=2*k:
print(0)
else:
print(str(max(num_list)-min(num_list)-2*k)) |
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