index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
992,300 | 7a31ab4e4cdc315aca0656e73b8b65337bd0eef9 | number=sum=0
k=int(input("Enter the value"))
for i in range(0,k):
number=i
sum=0
while number>0:
digit = number%10
sum=sum+pow(digit,3)
number= int(number/10)
if i==sum:
print(i) |
992,301 | 303de2fdf813e4e17bd3888a4cc2f0d92a147140 | #!/usr/bin/env python
# encoding: utf-8
import npyscreen
class TinyForm(npyscreen.FormBaseNew):
DEFAULT_NEXTRELY = 0
BLANK_LINES_BASE = 0
class TestApp(npyscreen.NPSApp):
def main(self):
F = TinyForm(name = "Welcome to Npyscreen",
framed=False,
... |
992,302 | 7dbfca13ced1fb25d1363fca634bbd45560025a6 | def binary_search(arr, ele):
start = 0
end = len(arr) - 1
while start <= end:
mid = (start + end) // 2
if (arr[mid] == ele):
return mid
elif (arr[mid] > ele):
end = mid - 1
else:
start = mid + 1
return -1
print("Enter The Size Of Th... |
992,303 | 1c7212d85d47218566c97c05cf41a248346c7a32 | #!/usr/bin/env python
#$ python setup.py build_ext --inplace
from numpy.distutils.command import build_src
# a bit of monkeypatching ...
import Cython.Compiler.Main
build_src.Pyrex = Cython
build_src.have_pyrex = True
def have_pyrex():
import sys
try:
import Cython.Compiler.Main
sys.modules['... |
992,304 | 09888e1e35fe7b5cecf8bf075a79715672a15cb3 | from CardDetector import CardDetector
import cv2
import pyfirmata
import time
import VideoStream
import time
import CardSort
cardDetector = CardDetector()
#cap = cv2.VideoCapture(0)
#for i in(range(10)):
# Capture frame-by-frame
# ret, frame = cap.read()
IM_WIDTH = 1280
IM_HEIGHT = 720
FRAME_RATE = 10
# vide... |
992,305 | e5d67862453e2e3496baac2d0ea16133b8dc38cc | import numpy as np
## Accuracy calc
def accuracy(y_test, y_pred):
return np.sum(y_test == y_pred) / y_pred.shape[0]
|
992,306 | 54e8a219141ca080f2e574fc92626f00b0cb19b4 | import requests
import urllib
import urllib2
import json
from urllib2 import urlopen
import bs4 as BeautifulSoup
import sys
import re
community = open("list-stable-community-larbi.txt", "w")
stable = []
with open("list-community-larbi.txt") as f:
userBlog = f.readlines()
userBlog = [x.lower() for x in userBlog]... |
992,307 | 699b0fb6c6a85a7e9da85563d0550dc3ee914619 | """
=========================
Project -> File: leetcode -> 1306_Jump_Game_III.py
Author: zhangchao
=========================
Given an array of non-negative integers arr,
you are initially positioned at start index of the array.
When you are at index i, you can jump to i + arr[i] or i - arr[i],
check if you can reach to... |
992,308 | fab655e8b21b0caaf6f20f95d14e058815d4e94f | import time
import random
def maxHeap(arr, n, i):
largest = i
l = 2 * i + 1
r = 2 * i + 2
if l < n and arr[i] < arr[l]:
largest = l
if r < n and arr[largest] < arr[r]:
largest = r
if largest != i:
arr[i],arr[largest] = arr[largest],arr[i]
ma... |
992,309 | dfff9db720145f45efec953a5b0c334f38bf592c | # 349. 两个数组的交集
# 给定两个数组，编写一个函数来计算它们的交集。
# 示例 1:
# 输入: nums1 = [1,2,2,1], nums2 = [2,2]
# 输出: [2]
# 示例 2:
# 输入: nums1 = [4,9,5], nums2 = [9,4,9,8,4]
# 输出: [9,4]
# 说明:
# 输出结果中的每个元素一定是唯一的。
# 我们可以不考虑输出结果的顺序。
class Solution(object):
def intersection(self, nums1, nums2):
"""
:type nums1: List[int]
... |
992,310 | ccdefc8e1d51f8fe07a9326e0a7417f6bdc1a2c6 | import numpy as np
import os
import random
import pandas as pd
import configargparse as argparse
import itertools
from group_robustness_fairness.prediction_utils.util import yaml_write
from sklearn.model_selection import ParameterGrid
from group_robustness_fairness.omop.train_model import filter_cohort
parser = argpa... |
992,311 | 0736931053f71ca3d102281a00ba983d825760ba | # Generated by Django 2.0.5 on 2018-11-26 08:49
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('bo', '0010_auto_20181114_1356'),
]
operations = [
migrations.CreateModel(
name='Absence',
... |
992,312 | 632d988fb2320e48ff844c499b4713c7eb643e42 | from django.apps import AppConfig
class AppmoviesapiConfig(AppConfig):
name = 'appmoviesapi'
|
992,313 | a8875ad54ab6dab1a18855c2c817e40465322cd7 | import pytest
from isic_challenge_scoring.classification import ClassificationMetric, ClassificationScore
@pytest.mark.parametrize(
'target_metric',
[
ClassificationMetric.AUC,
ClassificationMetric.BALANCED_ACCURACY,
ClassificationMetric.AVERAGE_PRECISION,
],
)
def test_score(clas... |
992,314 | 65cb5506cc12818421e62b5bf41d8d51bc849ec7 | /home/hanh/anaconda3/lib/python3.7/genericpath.py |
992,315 | 138dda6a37a0e52fdc19fcfb94d61ff3d7b375fd |
#Driver Path
driver_path = '/Users/[yourusername]/Documents/Scraping/linkedin/chromedriver'
#Login
email = '[yourusername]@gmail.com'
password = '[yourpassword]'
#Input Filenames
company_url_path = '/Users/[yourusername]/Documents/Scraping/Linkedin/company_urls.csv'
profile_url_path = '/Users/[yourusername]/Document... |
992,316 | 63e5806ecf0695a781b6acd639cd70b9b1d67a52 | '''
Created on Jun 3, 2013
@author: sumanravuri
'''
import sys
import numpy as np
import scipy.io as sp
import copy
import argparse
from Vector_Math import Vector_Math
import datetime
from scipy.special import expit
from RNNLM_Weight import RNNLM_Weight
class Recurrent_Neural_Network_Language_Model(object, Vector_Ma... |
992,317 | 9bddbea9642f9c090a2a077aa3827db849532e9d | # Generated by Django 2.2.6 on 2019-10-21 17:03
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... |
992,318 | 14d83079095c5e1fec9c2b16c4f1b8ad58c5e28d | #!/usr/bin/env python3
import signal
import sys
import time
import wiringpi as pi
trigger_pin = 17
echo_pin = 23
def send_trigger_pulse() -> None:
pi.digitalWrite(trigger_pin, pi.HIGH)
time.sleep(.0001)
pi.digitalWrite(trigger_pin, pi.LOW)
def wait_for_echo(value, timeout) -> None:
count = timeout
... |
992,319 | 3db0c1f7f8c6e7cddce7ab9c2fda4382caec4e2b | import AllModules as am
import json as js
################################################################################################################################################################################################################ ... |
992,320 | e269f6746fa57fb0a45e6cc8eec06be3bed7db1e |
import sys
from PyQt5.QtWidgets import *
class LabelItem(QLabel):
def __init__(self, *__args):
super().__init__(*__args)
class Widget(QListWidget):
def __init__(self):
super().__init__()
self.setItemWidget(QListWidgetItem(self), LabelItem("ttttttt"))
if __name__ == '__main__':
... |
992,321 | 28c7565cb588438c403d9c51a49e43678b3ac228 | # binary search, O(log(n)) for each call pick(), overhead in __init__() is O(n)
# space O(n)
import random, bisect
class Solution(object):
def __init__(self, rects):
"""
:type rects: List[List[int]]
"""
self.bottomleft = [] # self.bottomleft[i] is the bottomleft point and the wid... |
992,322 | e5f452013bbbd470954fb2ef231b0192c631406f | while True:
try:
a = int(input('請輸入第一位數字：'))
b = int(input('請輸入第二位數字：'))
c = int(input('請選擇何種運算符號？\n1.加, 2.減, 3.乘, 4.除'))
if c == 1:
print('{} 和 {} 相加後的答案為：{}'.format(a, b, a+b))
d = input('要繼續嗎？按Q離開')
if d == 'q' or d == 'Q':
break
elif c == 2:
print('{} 和 {} 相減後的答案為：{}'.format(a, b, a-b))
... |
992,323 | 56b48600364b8c820f3cedcbb45ea520684e0f59 | class SMSBackend(object):
"""Base interface for an SMS backend."""
def send(self, to, from_, body):
"""Send an SMS message."""
raise NotImplementedError
|
992,324 | d5030bc033d3d3126dbe419cc6c686d0bffc3802 | # -*- encoding: utf-8 -*-
from enum import Enum, unique
@unique
class EntityScope(Enum):
'''
This Enumeration: <EntityScope> is for to identify the category or scope of an entity.
Esta Enumeración: <AmbitoEntidad> es para identificar la categoría, ámbito o alcanze de una entidad.
... |
992,325 | d6f3c46be4efbfcb402b600c336affc3803dbb1d | import math as m
import numpy as np
import ik, macros, hlsockets, helpers
import gait_alg_test as gait_alg
from time import sleep, time
# 0-2 are leg 1, 3-5 are leg 2, 6-8 are leg 3, 9-11 are leg4
# 0 -> hip, 1 -> elbow, 2 -> knee
angles = [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
claws, body = ik.make_standard_... |
992,326 | 7987316a1a4bb1203b0bcac3f5aeaa9372be5f7f | ##########################
# Author: PZmyslony
# Module Name: Rectangle
# Date: 10/02/2020
# Version: 0.1a
##########################
import math
import doctest
class Rectangle:
def __init__(self, width, height, color=(255,0,0)):
'''
(num,num,tuple) -> None
Create instance of ... |
992,327 | c535e1069d079f25233f9ce9cff6056101fc1053 | import os
import cPickle as pickle
try:
import xml.etree.cElementTree as ET
except ImportError:
import xml.etree.ElementTree as ET
import numpy as np
from scipy import sparse
import util
import xgboost as xgb
def main():
print "# Loading features..."
X_train, t_train, _ = pickle.load(open("../../featur... |
992,328 | f1a2526606ec957bac901d645742d346f82687ae | import math
from utils import rgx
from config import config
### CONTEXT #######################################################################
class Context:
def __init__(self, tokens, weight):
self.tokens = tokens
self.weight = weight
self.ctx = {}
for token in self.tokens:
... |
992,329 | d0e99451068a133ae07f762552a77746cfc051fe | import string, random
def make_word(string_pattern):
# Returns arbitrary list of vowels and consonants based on specified format
... |
992,330 | c30a493a709e0db5eeaa2c3292d23182ac80b752 | from pyspark.sql import SparkSession
import logging.config
if __name__ == "__main__":
spark = SparkSession \
.builder \
.master("local[2]") \
.appName("WelcomeToPySparkSQLExample") \
.getOrCreate()
logging.config.fileConfig('logging.conf')
logger = logging.getLogger('Welcom... |
992,331 | bdcc4be519fefbc1d4771237ca8da6b2475ccb0e | #!/usr/bin/env python
import os
from setuptools import setup, find_packages
here = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(here, "README.md")) as f:
long_description = f.read()
requires = [
'astroid==2.2.0',
'click==6.7',
'falcon==1.4.1',
'gunicorn==19.9.0',
'jsonsc... |
992,332 | 64770cffb0ad3aceb76a14780e7edd53a57fef03 | #export PYTHONPATH=/usr/local/lib/python2.7/site-packages:$PYTHONPATH
import sys
import cv2
import math
import numpy as np
import struct
import pickle
from joblib import Parallel, delayed
def read_imagelist(fname, imagelist):
with open(fname, 'r') as f:
for line in f:
imagelist.append(line)
return;
#extrac... |
992,333 | 8d27703042f206f35e496b61f249f2aea84ce770 | students = [1,2,3,4,5]
print(students)
students = [i+100 for i in students]
print(students)
students = ["Iron man","Thor","groot"]
students = [len(i) for i in students]
print(students) |
992,334 | b89c460755f6678558c93101a0ee67713edfde5c | import task3_2 as task3_2 # UNCOMENT THIS to change running file
import task3_lyap as task3_lyap
import task3_3 as task3_3
import timeit
import sys
from copy import deepcopy
import numpy as np
#================time test!====
params = {
"args" : [],
"kwargs": {
"Omega": 0.06066,
"K": 1,
},
... |
992,335 | c007894cc61feee745f50d90c668acaf7e29f2ef | ###################################################################
### Import Python Libraries
###################################################################
import sys, glob, os, re, math, time
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
import pandas as pd
import pylab as p... |
992,336 | 478ec1da0cb46ce076c624cd059d86d88ab35e8c | '''
Классы
Домашнее задание
Вопросы по лекциям
1.
Напишите название функции, которая является конструктором класса.
Ответ:
__init__(self)
2.
На что указывает переменная self?
Ответ:
На сам объект(instance)
3.
С помощью какой функции можно проверить, что некая строка является именем одного из атрибутов объекта?
... |
992,337 | 4851cb0d2ef9037e1c3a30f858592688e431f439 | desks=int(input("Enter the number of desks)"))
Cls1= desks//2
deskcls1=(f"The remaining number of desk cls1")
Cls2= desks//2
deskcls2=(f"The remaining number of desk in cls2")
Cls3 = desks//2
deskcls3=(f"The remaining number of desk in cls3")
stucls1=int(input("Enter the number of students in cls1"))
stucls2=int(input(... |
992,338 | ada3c42cd76b997d8d5b95da993d6a47ef3f9597 | import numpy as np
import cv2
import matplotlib.pyplot as plt
from skimage.feature import hog
import matplotlib.image as mpimg
from scipy.ndimage.measurements import label
import pickle
color_space = 'YCrCb'
orient = 9
pix_per_cell = 8
cell_per_block = 2
hog_channel = 'ALL'
spatial_size = (32, 32)
hist_bins = 32
spati... |
992,339 | cd74d1745c1b37c63edeebe5456e56caac583938 | """
Functions to check FASTA and GFF files for coding sequence (CDS) features.
"""
import bisect
import csv
import os
import warnings
from Bio import SeqIO
import gffutils
from pyfaidx import Fasta
from pyfaidx import FastaIndexingError
from riboviz.fasta_gff import CDS_FEATURE_FORMAT
from riboviz.fasta_gff import STAR... |
992,340 | aa6355685afa0ee66ff1388001106681ce8930d5 | import os, re
import errno
from django.db import models
from django.contrib.auth.models import User, Group
from django.template.defaultfilters import slugify
from datetime import datetime
from django.conf import settings
# Create your models here.
class Category(models.Model):
name = models.CharField(max_length=50... |
992,341 | 886c9277354006c5511299bf2b9fee396040660e | #encoding=utf8
import sys
import getopt
import time
import re
from selenium import webdriver
import requests
import json
import openpyxl
import codecs
import pymysql
url = 'http://mall.mengguochengzhen.cn'
driver = webdriver.Chrome()
driver.get(url+'/mgcz/system/index')
driver.find_element_by_id('form-username').send_... |
992,342 | 7d383029a8753c3318c0126a75b7f41929eba45a | import sys
# N: コマ数
# M: 地点数
N,M,*X = map(int, open(0).read().split())
# コマ数が地点数以上の場合、各地点にコマを配置できる
# よって 0 回の移動で目的を達成できる
if N >= M:
print(0)
sys.exit()
X.sort()
D = sorted([abs(X[i+1] - X[i]) for i in range(M-1)], reverse=True)
print(X[-1] - X[0] - sum(D[:N-1])) |
992,343 | a198cf51c19261b84b0181468e7dfb0649a62e5c | #!/usr/bin/env python
from __future__ import print_function, division
import os
import time
import numpy as np
import theano
import theano.tensor as T
import lasagne
import argparse
import matplotlib.pyplot as plt
from os.path import join
from scipy.io import loadmat
from utils import compressed_sensing as cs
from u... |
992,344 | d63afae209cb80e8d1ebb1921d6d1af3694004ea |
# coding: utf-8
# In[54]:
import lda
import lda.datasets
from __future__ import division, print_function
import numpy as np
import string
from nltk.tokenize import word_tokenize
from collections import defaultdict
import unicodedata
from collections import Counter
import math
# In[62]:
#function to load abstracts... |
992,345 | 7f75922ee64ec696d14374388cd7a615625dc3db | from django.conf.urls import include, url
from . import views
urlpatterns = [
url(r'^$', views.post_list),
url('inicio', views.inicio, name='inicio'),
url('login', views.login, name='login'),
url('registro', views.registro, name='registro'),
url('client_dashboard', views.client_dashboard, name='cli... |
992,346 | 18345b886f01a6f1de955e823111994bb5de8253 | import torch
import torch.nn as nn
TOTAL_TIME_STEP = 3
FEATURE_LENGTH = annotation(1) + edge_type(C52) + FEATURE_LENGTH
node_vectors = Matrix((batch_size, num_of_edges -> CN2(num_of_atom), FEATURE_LENGTH)) # input
edge_type_matrix = Matrix((edge_type, num_of_edges)) # input
# message passing (MP)
mp_matrix = Matr... |
992,347 | 294471587b29122e3ac9611a04e5090621e99ad3 | n = 3
while n > 0:
soma = 0
while True:
s = input()
if s == 'caw caw':
print(soma)
break
else:
s = s.replace('*', '1')
s = s.replace('-', '0')
soma += int(s,2)
n -= 1 |
992,348 | c25683dc416f23473be7cfdb029f03f5eaf7329c | __all__ = ()
from scarletio import ScarletLock, RichAttributeErrorBaseType, copy_docs
from ...discord.core import KOKORO
class RateLimitContextBase(RichAttributeErrorBaseType):
"""
Rate limit context used to handle static rate limits when communicating with top.gg.
Attributes
----------
acq... |
992,349 | 2b8bc6f425b0a5a58140e4837694f3443174f3e2 | """
---Fibonacci---
f(n) = f(n-1) + f(n-2)
for n => Natural numbers
start values:
f(0) = 0
f(1) = 1
"""
def fibonacci(n, fib_arr=[0,1]):
if n <= 0:
return fib_arr[0:]
if n <= len(fib_arr):
return fib_arr[n-1]
nth_fib = fibonacci(n-1) + fibonacci(n-2)
fib_arr.append(nth_fib)
... |
992,350 | 6918c92b2a4cd0869be614360d57f3943352fce5 | #coding: utf8
from django.contrib import admin
from xuezhangshuo.account.models import xzsUser
admin.site.register(xzsUser) |
992,351 | e01c8990e3eb9bb6319e49b565540f9028dfd3cb | import datetime
from sqlalchemy import Column, Integer, String, DateTime, ForeignKey
from models import db
class SiteToRoom(db.Model):
__tablename__ = "site_to_room"
id = db.Column(db.Integer, primary_key=True)
room_id = db.Column(db.Integer, ForeignKey("room.id"))
hostname = db.Column(db.String(50)... |
992,352 | 08d2fcaec0f15fa9629aee1395d4084b1cafe14d | import xadmin as admin
from orderapp.models import OrderRecord, Order
# Register your models here.
@admin.sites.register(OrderRecord)
class OrderRecordAdmin(object):
def avg_count(self, obj):
return int(obj.order_cancel / obj.order_count)
avg_count.short_description = "Sum Count"
avg_count.all... |
992,353 | e2584ab4c7523b58c1511ee43294585aea134ecd | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Event',
fields=[
('id', models.AutoField(serial... |
992,354 | 0f804cd0db25db91c6e23beb983f9233a227e524 | import numpy as np
from gpmap.gpm import GenotypePhenotypeMap
from gpmap import utils
# Local imports
from epistasis.mapping import (EpistasisMap, mutations_to_sites, assert_epistasis)
from epistasis.matrix import get_model_matrix
from epistasis.utils import extract_mutations_from_genotypes
from epistasis.models.utils... |
992,355 | 561c8c0f432bf386ad4e48a07da525cf3f850d81 | # Generated by Django 2.2.7 on 2019-11-08 12:18
import django.contrib.sites.managers
import django.core.validators
from django.db import migrations, models
import django.db.models.deletion
import django.db.models.manager
import thumbnails.fields
import uuid
class Migration(migrations.Migration):
initial = True
... |
992,356 | 67e2dce70002bd99f0d1bbb4d9c83fdc59bba7d0 |
from pymongo import MongoClient
import random
# CRUD
class MongoDB:
"""
封装的Mongodb操作方法
"""
def __init__(self):
client = MongoClient('localhost', 27017)
self.database = client['ip_proxy']
# print(client.database_names())
self.collection = self.database['ips']
#... |
992,357 | d5feee75c9a10a6b6d656dd1a7926e462054fb0c | import csv
import sys
import random
from os import listdir
from os.path import isfile, join, abspath
import webbrowser
# from goose import Goose
# import eatiht
import dragnet
import libextract.api
from newspaper import Article
import justext
# try:
# from boilerpipe.extract import Extractor
# except:
# from bo... |
992,358 | 4342664cd81ef0ab0d49d166f07ccd1da8130f45 | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2010-2011 OpenStack LLC.
# 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... |
992,359 | 6280c83566824243ac957ef8d21f73328bbb828d | class Company:
def __init__(self, row):
self.row = row
@property
def name(self):
return f"{self.row.title} ({self.row.org})"
@property
def region(self):
return f"Регион: {self.row.region}"
@property
def inn(self):
return f"ИНН: {self.row.inn}"
@propert... |
992,360 | b09675e02ef9422054809da8b520f4ea86749fc0 | '''
Author: Ashutosh Srivastava
Python3 solution
'''
import math
dict_main={}
def cal(N):
if N in dict_main:
return dict_main[N]
elif N not in dict_main:
if(N%2==0):
dict_main[N]=0
return 0
else:
flag=0
for i in range(3,int(math.sqrt(N)... |
992,361 | 5b9b476b92732adc319721a7ef50cdf5be4859b0 | #!/usr/bin/env python3
# -*- mode: python -*-
#
# Electrum - lightweight Bitcoin client
# Copyright (C) 2011 thomasv@gitorious
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation files
# (the "Software"), to deal in the Software without restri... |
992,362 | 4f246b7e3263063472565f06eb940556f037e3ab | # -*- encoding:utf-8 -*-
# ==============================================================================
# Filename: VWAPQuantAnalysisUnitTest.py
# Author: Xiaofu Huang
# E-mail: lanecatm@sjtu.edu.cn
# Last modified: 2016-11-04 16:00
# Description: VWAPQuantAnalysis单元测试
# =============================================... |
992,363 | f4d0e1074d41e309ac8267884a01a1af54d1f10d | class MapRepository:
def __init__(self, droneMap):
self._map = droneMap
self.initializeMap()
def initializeMap(self):
self._map.loadMap("test1.map")
def getMap(self):
return self._map
|
992,364 | 76dcff4e9197c12eb469cefc015a91ce40c49f32 | import numpy as np
import re
import sys
import os
import pickle
from sklearn.metrics.pairwise import cosine_similarity
import time
import io
from gensim import models
import threading
import Queue
'''
stopWord
stopWords read from file, because the sklearn one is not enough. Things added:
handled by NER
'january','feb... |
992,365 | 14239218848b9fc7e17e2444da99697ede89b91d | from eregex.test.data import code
lazy_set_func="""
NodeMetadata lazySet(
NodeMetadata meta, {
BuildOp buildOp,
Color color,
bool decoOver,
bool decoStrike,
bool decoUnder,
TextDecorationStyle decorationStyle,
CssBorderStyle decorationStyleFromCssBorderStyle,
String fontFamily = null,
String fontSi... |
992,366 | 04a2f4f12cc2bd23777b07a4274a8ba76a5437cb | #!/usr/bin/env python
# encoding: utf-8
# Copyright 2012 Herve BREDIN (bredin@limsi.fr)
# This file is part of PyAnnote.
#
# PyAnnote is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either versi... |
992,367 | f1415f0dc433b222ae31b641d91d89e7e9dcfbf8 | # -*- coding: utf-8 -*-
"""
Created on Wed Nov 4 21:34:08 2020
@author: Moritz
"""
"""Fig 6D
This script reproduces the plots seen in Fig 6D of "The biophysical basis underlying the maintenance of early phase long-term potentiation".
This script requires that `numpy`,`matplotlib` and `seaborn` are installed within... |
992,368 | c3b33bb54f03adddfaa1530d7f49c69acd364d83 | """
All data in Python program is
represented by objects(types == classes)."""
things = [1, 0.2, "hi", (1, "a"), {1: 4}]
# e.g of good string formatting.
for thing in things:
print("{:>8} is: {}".format(repr(thing), type(thing)))
print("{} is: {}".format(repr(things), type(things)))
|
992,369 | de0b0ce968fb2e84e8bba99f8bfb2c4cba1af38d | import logging
import json
import re
from datetime import datetime, timedelta
import time
from . import (CHANNEL_KITCHEN, BUTTON_STOP, CHANNEL_BIG_WINDOWS, BUTTON_DOWN,
BUTTON_UP)
import simu
LOGFILE = '/var/log/simu.log'
DARKNESS_JSON = '/home/mmrazik/weather/data/live_darkness_json.txt'
TIME_THRESHOLD... |
992,370 | 28e821759b6e49dee1c0f2048beae00aeb15bdef | import re
input = snakemake.input
with open(snakemake.output[0], "w") as out:
out.write("Barcode matching: ")
out.write(open(input.barcode_matching, "r").readline())
adapter_stats = open(input.adapter_stats).read()
adapter_pass = int(re.search("reads passed filter: (\d+)", adapter_stats).group(1)) //... |
992,371 | b238c115f3efdb8e6efa02cc78d7bfe5722b01b1 | from schema import Schema, And
import time
import re
from asylum.web.core import names
def validate(schema, json):
try:
schema.validate(json)
return True
except:
return False
def validate_register(json):
try:
Schema(
{
'login': lambda x: re.ma... |
992,372 | 400b77f527944825dcf6a8fcf885d8abbf4e8c79 | #coding:utf-8
import time
# 读取文件
def fileRead(filename):
with open(filename,"r") as f:
content = f.read()
# print(content)
return content
#保存文件
def fileSave(filename,content):
with open(filename,"w") as f:
startTime = time.time()
print("开始写内容到%s文件中！--start:%s" % (filename,startTime))
f.write(... |
992,373 | 8bcf20536a6b3acad3df09191d422d2ab28e020f | fullBat = int(input("輸入一數字:"))
recoverBat = 0
emptyBat = 0
c = 3-fullBat%3
if fullBat %3 !=0:
recoverBat = (fullBat+c)//3 #16//3 =5
emptyBat = fullBat%3 #16%3 = 1
else:
recoverBat = fullBat//3 #16//3 =5
emptyBat = fullBat%3 #16%3 = 1
b = recoverBat + emptyBat
a = 0
if b >=3:
a = b//3
total = fu... |
992,374 | 8342388820009783a92394d2da383a64bae19aa3 | # -*- coding: utf-8 -*-
'''
:codeauthor: :email:`Jayesh Kariya <jayeshk@saltstack.com>`
'''
# Import Python libs
from __future__ import absolute_import, print_function, unicode_literals
# Import Salt Testing Libs
from tests.support.mixins import LoaderModuleMockMixin
from tests.support.unit import TestCase, skipI... |
992,375 | a9c3ff639f21c239319ee252b158ba90c65b693e | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import copy
import os
import re
from collections import OrderedDict
from functools import update_wrapper
from urllib.parse import urlencode, urljoin
from uuid import uuid4
import django
from django.conf import settings
from django.contrib.contenttypes.mo... |
992,376 | 9db4cc3451f8fe7e339fad74bddb5c7a1bce3ef3 | from clarifai.rest import ClarifaiApp, Image
from config_reader import CLARIFAI_KEY, CLARIFAI_SECRET
from hashlib import md5
def chunks(iterator, size):
"""
Split the image url list to n lists of size 128
:param iterator: List
:param size: Integer
:return: List[List]
"""
for index in range(... |
992,377 | ff0489eb13368ae1a1bdaad92629a3f4e6866903 | #display the output
display("new python file new new new")
|
992,378 | adc84bd6bf67344aec1a8439b3015672d8a9b6e0 | import os
#设置目录的绝对路径
BASE_PATH = os.path.dirname(os.path.abspath(__file__))
DATA_PATH = os.path.join(BASE_PATH, 'data') #yaml测试用例存放位置
CASE_PATH = os.path.join(BASE_PATH, "testcase") #测试用例存放位置
REPORT_PATH = os.path.join(BASE_PATH, 'report') #测试报告存放位置
TEMP_PATH = os.path.join(BASE_PATH, 'testcase/temp') #存放临时用例位置
LO... |
992,379 | d9db88a593269be511c7d1cce3c1bba9b7956ec3 | import matplotlib
matplotlib.use('Agg') # This must be done before importing matplotlib.pyplot
import matplotlib.pyplot as plt
import numpy as np
import math
def freq(dirr, freq_orig, iters):
num_files = len(freq_orig)
orig_maxBD = len(freq_orig[0])
maxBD = min(21, len(freq_orig[0]))
freq = np.zeros(... |
992,380 | 0994bf7baafd895958a133d70a4249c8ee382ddb | from django.shortcuts import render
from django.views.generic import DetailView, ListView
from datetime import datetime, timedelta
from trader.models import Trade
from ticker.strategies.simple import SimpleStrategy
import logging
class TradeList(ListView):
logger = logging.getLogger(__name__)
model = Trade
... |
992,381 | 0a97994893e1f1c9bea9eb6bd31ce6509ceda50e | import numpy as np
import torch
import torch.nn.functional as F
from torch.autograd import Variable
from torch.utils.data import Dataset, DataLoader
from torchvision import datasets, transforms
dev = "cpu"
if torch.cuda.is_available():
dev = "cuda:0"
device = torch.device(dev)
class Model(torch.nn.Module):
de... |
992,382 | d6f8d4589af7dbcdf37a85e9af726d9a2dd3f270 | """Process, blend and store images.
Published under the MIT License. See the file LICENSE for details.
"""
import logging
import os
from PIL import Image, ImageEnhance
from image_optimize import recursive_optimize
import utils
logging.basicConfig(filename='logfile.log', level=logging.INFO)
def iteration_layers(... |
992,383 | 47aaf8487010553565e9e573cdeff7e63eeb4585 | import unittest
from second_project import Counter
class EasyTestCase(unittest.TestCase):
def setUp(self):
self.counter = Counter()
def test_easy_input(self):
self.assertEqual(self.counter.get_value(), 0)
def test_easy_input_two(self):
self.counter.clear()
self.assertEqu... |
992,384 | 8a83da82b58a3988377202e7d8c0a04876d120e9 | print('Prueba Funcion')
for i in range (10):
print(i, end=' ')
print('\n Fin de Programa')
print()
|
992,385 | 6995ee8949f21fab5f95b0940730e2b2c7c18c69 | from __future__ import print_function
import PyTorch
class FloatTensor(PyTorch._FloatTensor):
pass
# def __cinit__(self):
# print('floattensor.__cinit__')
# def __init__(self, tensor, _allocate=True):
# print('floattensor.__init__')
# if isinstance(tensor, PyTorch._FloatTensor):
# ... |
992,386 | 5d14db43acc4bbca543aa80e9098df1ae65b8e5d | #!/usr/bin/env python
# coding: utf-8
# In[1]:
#!/bin/python3
import math
import os
import random
import re
import sys
if __name__ == '__main__':
N = int(input())
if (N%2==1):
print('Weird')
elif (N%2==0 and (N>=2 and N<=5)):
print('Not Weird')
elif (N%2==0 and (N>=6 and N<=20)):
... |
992,387 | 3fc17b4828677a19025ecf618135a79f58cf061a | ten_things = "Apples Oranges Crows Telephone Light Sugar" # creates a variable ten_things with the assigned value of "Apples Oranges Crows Telephone Light Sugar"
print "Wait there are not 10 things in that list. Let's fix that." # prints "Wait there are not 10 things in that list. Let's fix that."
stuff = ten_things.... |
992,388 | 12e5ed0b76580cba7a30f8805ae557c850faa1dc | import numpy as np
# global parameters -------------------------------------------------------------------------------- #
num_graphs = 1000 # number of samples to be generated (per geometry)
N = 50 # number of nodes (per graph)
Radius = 1 ... |
992,389 | 14841bd7749fb54e7ffcce8385f1b920e93909c4 | import subprocess
import json
import os
from multiprocessing import Pool
import string
import random
def getAccounts(node="eos"):
"获取所有的账号"
current_dir = os.path.dirname(os.path.abspath(__file__))
if node == "eos":
accountFile = os.path.join(current_dir, "eosaccount.json")
elif node == "bos":
... |
992,390 | c71b8c764adb911b7ffff63850369db507e2432b | import datetime
import matplotlib
from matplotlib.pyplot import plot
from skimage.color.rgb_colors import green, red, blue
from tables.idxutils import infinity
from win32timezone import now
from code.classifiers.MultiLOF import MultiLOF
from code.classifiers.MultiMultiLOF import MultiMultiLOF
from code.classifiers.Off... |
992,391 | 745526f794af6a085c4ee0e2e1c377462c2e8127 | import cv2
import numpy as np
img = cv2.imread("re_esq.png")
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
h, w = img.shape[:2]
mask = np.zeros((h+2, w+2), np.uint8)
ret, thresh2 = cv2.threshold(gray, 10, 255, cv2.THRESH_BINARY_INV)
cv2.floodFill(thresh2, mask, (350, 250), (255, 255, 0))
thresh2 = cv2.cvtColor(thres... |
992,392 | 9c0dd85afcff05e9b7cdd2f8471a9bab5752a185 | from typing import List, Callable, Union, Any, TypeVar, Tuple, Dict
Tensor = TypeVar('torch.tensor')
JSONType = TypeVar('json')
ClassType = TypeVar('Class') |
992,393 | 45dd1680bbd7b510de9c4bb6026d467802f5276c | def make_jump(loc, element, max):
result = []
if 0 < loc + element < max:
result.append(loc + element)
if 0 < loc - element < max:
result.append(loc - element)
return result
def find_nearest(seq, check, loc, places, jumps, round=1):
possiblities = make_jump(loc, seq[loc], len(seq))
found_one = Fa... |
992,394 | af6c6c0846f77a4f1ef011e56abdaab3c7511bbd | # ActivitySim
# See full license in LICENSE.txt.
import logging
from activitysim.core.util import assign_in_place
logger = logging.getLogger(__name__)
def failed_trip_cohorts(trips, failed):
# now that trips['earliest'] gets reset after outbound trips are scheduled,
# it becomes clear that cohorts need to... |
992,395 | 5f5bc8d952b5aec380501fdf626be7e1d398590c | #!/usr/bin/python
import sys, os
from subprocess import call
def get_current_folder_size(folder): # recursion
total_size = os.path.getsize(folder)
for item in os.listdir(folder):
itempath = os.path.join(folder, item)
if os.path.isfile(itempath):
total_size += os.path.getsize(itempath)
elif os.path.isdir(i... |
992,396 | c6b54693893a44bfd5f2ec463a2af4dda2457f5d | from db.db import Base
from sqlalchemy import Column, String, DateTime, Integer, Float
from sqlalchemy.orm import relationship
import time
from .associate_table import Domain_Port, User_Domain
class Data(Base):
__tablename__ = "data"
id = Column(Integer, primary_key=True, index=True)
domain = Column(Strin... |
992,397 | 2f4afc3c8bffdd2b53ea44ac87a17a91d8ac9ece | import random as rnd
import matplotlib
import matplotlib.pyplot as plt
from scipy.stats import beta
import argparse
import numpy as np
parser = argparse.ArgumentParser(description='Batch frequency learning simulation using a single Bayesian agent')
parser.add_argument('--observations', '-o', default=5, type=int,
... |
992,398 | 7b6ca0c925f40b6b5ce47f6c0b92ca2a1ed5b200 | from __future__ import unicode_literals
from pytest_cagoule.git_parser import get_diff_changes
diff1 = """diff --git a/README.rst b/README.rst
index 8902dc2..9de8bf2 100644
--- README.rst
+++ README.rst
@@ -3,0 +4 @@ pytest-cagoule
+
"""
diff2 = """diff --git a/README.rst b/README.rst
index 8902dc2..f39170e 100644
... |
992,399 | 25a9dcb1675cc87c50e0adaf25becaa134837e2d | """Test module for ip fabric snat for k8s
this module contains the restart and reboot scenario based
testcases to verify the behavior of the ip fabric snat with k8s
"""
from common.k8s.base import BaseK8sTest
from tcutils.wrappers import preposttest_wrapper
from tcutils.util import get_random_name, skip_because
i... |
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