index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
989,000 | e5700bccf6f4a316fa61c3234f1324a5abbe07a9 | import pandas as pd
import numpy as np
from scipy.stats.mstats import gmean
def softmax(X, theta=1.0, axis=None):
"""
Compute the softmax of each element along an axis of X.
Parameters
----------
X: ND-Array. Probably should be floats.
theta (optional): float parameter, used as a multiplier
... |
989,001 | d5e89ee77e3a9291b3e4937254b1525f605c3813 | from django.conf.urls import url,include
from django.contrib import admin
from django.conf import settings
from django.conf.urls.static import static
urlpatterns = [
url(r'^',include('home.urls',namespace='home',app_name='home')),
url(r'^admin/', admin.site.urls),
url(r'^blog/',include('blog.urls',namesp... |
989,002 | 77df14d4737c9fb208d00da2655a35f8fb768239 | # Generated by Django 2.1.2 on 2018-11-20 16:48
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('bugtracker', '0005_auto_20181113_1253'),
]
operations = [
migrations.AlterField(
model_name='ticket',
name='bugs',
... |
989,003 | 21914319cc46825445a0936fa537d9e0283303cd | #!/usr/bin/env python
# -*- coding: utf-8; mode: Python; py-indent-offset: 4 -*-
import os
import sys
include = ["base_project"]
exclude = []
incstr = " ".join(include)
excstr = ",".join(exclude)
print("Checking PEP8 ...")
if os.system("pycodestyle --show-source --show-pep8 --max-line-length=79 --filename=*py " +... |
989,004 | 38e88485c32b5690d46c593cd36865f5e48afcbc | #!/usr/bin/env python
import RPi.GPIO as GPIO
import time
#pins = [11,12,13,15,16,18,22,7]
pins = [7,22,18,16,15,13,12,11]
dats = {"0":0x3f,
"1":0x06,
"2":0x5b,
"3":0x4f,
"4":0x66,
"5":0x6d,
"6":0x7d,
"7":0x07,
"8":0x7f,
"9":0x6f,
"A":0x77,
"b":0x7c,
"C":0x39,
"d":0x5e,
"E":0x79,
"F":0x71,
".":0x80}
... |
989,005 | bc45fa681424e629000bb03f534375fe3ae9692a | import struct
from Utils.output_code import OutputType
from ICMP.ICMP_packet import ICMP
class ICMPHandler:
def __init__(self, sequence, data):
self._pack_header = self._unpack_packet_header(data[20:28])
self._type = self._pack_header[0]
self._sequence = sequence
self._data = data
... |
989,006 | 124494a36cab9853f2ac0c332f8bb9ae4a2a5d02 | """
Given a path prefix PREFIX of directories containing files
config.json
dev/{summary.json,average_activations.npy,average_norms.npy}
train/summary.json,average_activations.npy,average_norms.npy}
In the directory associated with the prefix, outputs the following files
dev_loss.pdf
train_loss.pdf
dev_train_gap.pdf
... |
989,007 | 0d489c71aa5f829725094efe1262327025e1b910 | from flask import render_template, redirect, url_for, flash, request,session
from models.department_model import DepartmentModel
class Department:
@staticmethod
def create_department():
""""create"""
if session:
username = session['username']
if request.method == 'POS... |
989,008 | 5f586c98421d20214ee030a72e7b8efb36e871c3 | ANYONE = None
NOONE = -1
BLACK = 0
WHITE = 1
TURN_CHNL = 2
INVD_CHNL = 3
PASS_CHNL = 4
DONE_CHNL = 5
NUM_CHNLS = 6
class Group:
def __init__(self):
self.locations = set()
self.liberties = set()
def copy(self):
groupcopy = Group()
groupcopy.locations = self.locations.copy()
... |
989,009 | 0464bc549938722385c4e7cca1df6db4bec0b412 | import logging
import numpy as np
from scipy.linalg import pinv, solve
from scipy.spatial import cKDTree
from uncoverml import mpiops
log = logging.getLogger(__name__)
def impute_with_mean(x, mean):
# No missing data
if np.ma.count_masked(x) == 0:
return x
for i, m in enumerate(mean):
... |
989,010 | f0d252e082c88dd6d9446bcfa0b4050748f798b5 | import osmium
import shapely.wkb as wkblib
import numpy as np
import pandas as pd
import geopandas as gpd
from rtree import index
from shapely.geometry import Point, Polygon
# TODO: class to extract ANY desired information from OSM, not only ways. How to do it?
class OsmRouteAnnotator(osmium.SimpleHandler):
def ... |
989,011 | 4653a0fa91e2e81cfd37d7d75a9cc233a18e1bb5 | """Seamless high-level API.
Has a two-fold function:
1. Maintain a workflow graph containing nodes (cells, transformers etc.),
checksums, and connections. This workflow graph is pure data that can be
serialized any time to JSON (.seamless file).
2. Maintain a translation of the workflow graph to a low-level represen... |
989,012 | b6d11baa39e79289692a9d73f11046d1f2c16dd1 | from dazer_methods import Dazer
from pandas import read_csv
from uncertainties import ufloat
from numpy import array, median, searchsorted, max, where, ones, mean
from astropy.io import fits
from DZ_observation_reduction import spectra_reduction
def Emission_Threshold(LineLoc, TotalWavelen, TotalInten, BoxSize = 70):... |
989,013 | 04b09513d658cd3315b43ce536f3684fc7cc0868 | # Generated by Django 3.1.13 on 2021-08-19 01:24
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),
]
op... |
989,014 | 58e44e2bf6909a103aeb585f46eb42c014f815a8 | from library.PowerType import PowerType
from library.Action import Action
import numpy as np
import random
class ActionFactory:
"""This helps to create common actions and keep them consistent. Not thread-safe"""
def __init__(self):
self.actions = {} # name: powerType
self.randomActionLastId ... |
989,015 | c55dd08f3ae69d6c24baff1113c0fee8db1dc069 | # Generated by Django 2.1.5 on 2019-10-31 19:40
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('lotlinfoarchive', '0016_auto_20191030_0007'),
]
operations = [
migrations.AlterField(
model_name='musician',
name='r... |
989,016 | fd3cac22c0c0a8c419a16ddbb0986d7fa055bb08 | import os
import glob
import pandas as pd
import numpy as np
from BasicIO.filenameString import getFilenamePair
def checkExistanceOfFiles(imageFilename, maskFilename):
"""Check if there is the image and its corresponding mask.
Parameters
----------
imageFilename : str
Full path to the image.
... |
989,017 | 4e8129dd3dd4f396630c0dfffca3925dbb7e0ab1 | # -*- coding: utf-8 -*-
# @Time : 2021/02/01 17:18
# @Author : Lim Yoona
# @Site :
# @File : 04_is_or_equal.py
# @Software: PyCharm
"""
这里是关于==、is的辨析问题
"""
import copy
a = [11,22,33]
b = a
print(a == b)
print(a is b)
c = copy.deepcopy(a)
print(a == c)
print(a is c)
"""
==：表示的是两个比较对象的值是否相等
is：表示的是两个比较... |
989,018 | 431e2b295d06dfa1e7c99ebdbe99817564d01850 | from odoo import models, fields
class ItiSkills(models.Model):
_name = 'iti.skill'
name = fields.Char()
|
989,019 | 651b4bb6fb64b8cc5a31cb09cfd0dd12590a2497 |
def checkStatement(number):
assert number > 10 , "The number is less than 10 can't be taken"
print("Yep, Number is greater than 10 :-)")
numb = int(input("Enter Number : "))
try:
checkStatement(numb)
except AssertionError as e:
print(e)
|
989,020 | 3099ffdb332e37c9249a9561349cb4cfaadae173 | def multiples_no(limit):
i=1
sum=0
while i<=num:
if i%3==0 or i%5==0:
print(i)
sum=sum+i
i=i+1
print("sum:-",sum)
num=int(input("enter the number:"))
multiples_no(num)
|
989,021 | 2d41f1309b6d60537726426b72d881b86a428419 | from flask import Flask
from flask import render_template
from flask import g
from flask import request
import json
from lockdown import Cell
import lockdown
app = Flask(__name__, static_folder="static")
DATABASE = 'demodb.sqlite'
def get_db():
db = getattr(g, '_database', None)
if db is None:
db = ... |
989,022 | 025bba291dd2b890a57f9ab9628ed69149946234 | from locust import HttpLocust, TaskSet, task
username = 'admin'
password = '123456'
class MyTaskSet(TaskSet):
def on_start(self):
csrftoken = self.client.get('accounts/login').cookies['csrftoken']
self.client.post("accounts/login/",
{"id_username":username,
... |
989,023 | 6cdafd264f58e37b6bab6f042913cd478504da53 | import math
import itertools
from collections import deque
from PIL import Image, ImageDraw
class Scheduler:
def __init__(self):
self.jobs = []
def addJob(self, job):
self.jobs.append(job)
def loadAvailJobs(self):
return [x for x in self.jobs if not(x.finished) an... |
989,024 | c792834fe969c1813900cc808db889a877fb41f6 | # Crie um programa que tenha a função leiaInt(), que vai funcionar de forma semelhante 'a função input() do Python,
# só que fazendo a validação para aceitar apenas um valor numérico.
# Ex: n = leiaInt('Digite um n: ')
def leiaInt(msg):
ok = False #Declara o ok como Falso para validação no break do Loop While quan... |
989,025 | 39c7afe000f084a5cb1498bffadeb4f1e94bba7a | ###########################
## _ANchangeeDirName.py
##
## 2019.10.28
###########################
import sys
import os
dir_lst = sys.argv[1:] # the first argument is the script itself
for d in dir_lst:
if os.path.isdir(d):
file_lst = os.listdir(d)
else :
print (p+"is not directory")
[lind... |
989,026 | 27cf233df0585e9c3f88b64f50e8b8cb8d8be922 | N1, N2, N3, N4 = input().split(' ')
N1, N2, N3, N4 = float(N1), float(N2), float(N3), float(N4)
MEDIA = (N1*0.2)+(N2*0.3)+(N3*0.4)+(N4*0.1)
if MEDIA >= 7:
print('Media: {:.1f}' .format(MEDIA))
print('Aluno aprovado.')
elif MEDIA < 5:
print('Media:', int(10 * (N1*.2 + N2*.3 + N3*.4 + N4*.1)) / 10)
pri... |
989,027 | 9832d6078942af396ff185280c42b064f6fb6fe8 | # Set Postgres configurations as a dictionary(key value pair)
PGSQL_CONFIG = {
'host': 'host_name',
'db_name': 'Database_Name',
'user': 'Username',
'password': 'user_password',
'port': 3306
}
|
989,028 | cd9472ea7cf8e337a318991aec1f92e513cb92f9 | #!/usr/bin/env python3 -B
import unittest
import os
import os.path
import hashlib
import json
import uuid
import pprint
import inspect
from itertools import groupby
from pathlib import Path
import warnings
from tests import TestSalesPipelineOutput
from cromulent import vocab
vocab.add_attribute_assignment_check()
cl... |
989,029 | a5071bb80e1bd6536484c5cb042acae4a41e9f19 | # !/usr/bin/env python
# Copyright 2014 Vodkasoft
#
# 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 applicable law or agre... |
989,030 | 95536566ffae5a577c153afa3ad67f6d6f2d7715 | /home/oseiasbeu/anaconda3/lib/python3.7/fnmatch.py |
989,031 | 84c65ee36f21346ce4fd2d70af4375e0c9427344 | # -*- coding: utf-8 -*-
r"""
Tamari Interval-posets
This module implements Tamari interval-posets: combinatorial objects which
represent intervals of the Tamari order. They have been introduced in
[PCh2013]_ and allow for many combinatorial operations on Tamari intervals.
In particular, they are linked to :class:`Dyck... |
989,032 | a7c8d15e32fde66bf2e3ae7aee7ccc2f750d0a0c | from django.conf import settings
from rest_framework import status
from rest_framework.response import Response
from rest_framework.generics import GenericAPIView
from ..permissions import IsAuthenticated
from ..app_settings import (
MoveSecretLinkSerializer,
DeleteSecretLinkSerializer,
)
from ..models import... |
989,033 | 1ea64046556aa1a2acfbb85fa5188eb292c1236c | """
tldr: modifies the squad data to fit the requirements of my experiment 2 (topic contexts)
author: @rohitmusti
"""
import ujson as json
from tqdm import tqdm
from toolkit import fancyprint, save, quick_clean
import config
from data_clean_exp2 import exp2_transformer
from data_clean_exp3 import exp3_transformer
def... |
989,034 | 4c507cbf3be3ec87d50a0dcda6f5a2ffc90b695c | import click
from acgt import Acgt
@click.group()
def cli():
"""Example script."""
pass
@click.command()
@click.argument('project_name')
@click.option('--js',default=False, help="generate js file")
@click.option('--flask',default=False, help="generate flask file")
def init(project_name, js, flask):
project ... |
989,035 | 5f8ed03e94b139527ac44011e02d2ad0d467aa8a | #Multiple Linear Regression - multiple features, one label
#General Equation is that of a straight line with multiple features: y = b0 + b1x1 + b2x2 + ... + bnxn
#sourced from superdatascience.com
#-------------------------------- Preprocessing -----------------------
#import the libraries
import numpy as np
import p... |
989,036 | c56729b0c3260903d49b4c09fcf3e138f77dc38f | from django.db import models
from util.fields import CurrencyField
from categoria.models import Categoria
class Product(models.Model):
name = models.CharField(max_length=255, verbose_name=('Nombre'))
slug = models.SlugField(verbose_name=('Slug'), unique=True)
active = models.BooleanField(default=False, ver... |
989,037 | f3d7b5319cdd919f8671be5747e33bf59a1e89b3 | # -*- coding: utf-8 -*-
"""setup.py: setuptools control."""
import re
from setuptools import find_packages, setup
version = re.search(r"^__version__\s*=\s*'(.*)'",
open('src/tav/cmd.py').read(), re.M).group(1)
setup(
name='tav',
version=version,
description='TBD',
long_descriptio... |
989,038 | 65be7d13d864c9785968ab7967205f7ad498e814 | from typing import List
class Solution:
def closedIsland(self, grid: List[List[int]]) -> int:
row, col = len(grid), len(grid[0])
if row == 1 or col == 1:
return 0
def neibor(i, j):
connect = [
(i+1, j), (i-1, j),
(i, j-1), (i, j+1)
... |
989,039 | 2c6c324c068105b1538f90745ed8439adfd2060d | import sys
sys.path.append('../pytorch-CycleGAN-and-pix2pix/')
import importlib
from models import networks
class UnetNormalized(networks.UnetGenerator):
"""
Subclass of UnetGenerator from pix2pix that also normalizes the output (since I was getting weird results)
"""
def __init__(self):
super... |
989,040 | 09126e5a9bed34a175600c4acd63eb325ac25e8b | import json
#import pprint #only for fun printing
from TwitterModule import *
#names = ['@IngrahamAngle','@davidhogg111','@sleepnumber','@ATT','@Allstate','@esurance','@Bayer','@RocketMortgage','@LibertyMutual','@Arbys','@TripAdvisor','@Nestle','@hulu','@Wayfair','@FoxNews','#BoycottIngramAdverts','#boycottLauraIngrah... |
989,041 | 9a77bcbfc04208a833c3b021170bd5b7120770ff | """
Implementation of the logic to solve the nonogram.
"""
import copy
from nonogram.rules import r1
from nonogram.rules import r2
from nonogram.rules import r3
from nonogram.solution import Solution
RULE_FUNCS = (*r1.RULES, *r2.RULES, *r3.RULES)
def solve(raster):
"""Does a rule based elimination on the raste... |
989,042 | e2555f2b73bbad1eee96d61aa46482ad997f1b7d | import six
import sys
import os
if sys.version_info[0] >= 3.3:
from types import SimpleNamespace as Dataset
else:
from argparse import Namespace as Dataset
def associate_by_ext_suffix(datasets):
has_ext = []
has_no_ext = []
for dataset in datasets:
out_list = has_ext if "_ext" in dataset.... |
989,043 | e951c02bbd65136f89a41e8d7f53f9315864b8f0 | import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from torch.optim import lr_scheduler
from torch.utils.data import Dataset
from torch.utils.tensorboard import SummaryWriter
import os
from before_ex import vnet_wr
import time
#import matplotlib.pyplot as plt
import cv2
def np_select... |
989,044 | 909ae044570b66e8512150beb9de74a5b79e4f41 | import random
class Monster:
def __init__(self, name, attackType, health, attack, defense, drop):
self.name = name
self.attackType = attackType
self.health = health
self.maxhealth = health
self.attack = attack
self.defense = defense
self.dropls = drop
def... |
989,045 | ae15d98540cf970688b89d0abee54b6e7fb19a1c | from microbit import *
ledOff = 0 #Interpret as bit off
ledOn = 9 #Interpret as bit on
LongPress = 500 #No magic numbers!
ShortPress = 100
INPUTTING = 3 #Needed for switching between screens
CONVERTING = 4
screen = INPUTTING
leds = ["0" for i in range(32)] #Initialize 32 bit array to ascii 0s
bit = 0 #leds array ind... |
989,046 | a75ce0ff0b7a440156896eaa13ab641445d435af | from glass.command import command
@command
def samplex_random_seed(env, s):
env.model_gen_options['rngseed'] = s
@command
def samplex_add_noise(env, n=1e-6):
assert 0, 'samplex_add_noise: DEPRECATED FUNCTION'
@command
def samplex_stride(env, s=1):
assert 0, 'samplex_stride: DEPRECATED FUNCTION'
@command... |
989,047 | 5dea135da674dd1122c3c1db6861f55e0949e5e4 | dict = {
"name": "Arun",
"lastname" : "Suryan"
}
print(dict.get("name")) |
989,048 | 1239fd380d0affd4f804ecbd9f275c60860f4cb8 | from django.test import TestCase
from django.http import HttpRequest
from webp_converter.context_processors import webp_support
class TestContextProcessors(TestCase):
def test_webp_support_true(self):
request = HttpRequest()
request.META["HTTP_ACCEPT"] = (
"text/html,application/xhtml+... |
989,049 | d20c26293b86b18f35765e41b6ddc7d8300c2b9e | class car(object):
def __init__(self, name, type):
self.name = name
self.type = type
def getName(self):
return self.name
def gettype(self):
return self.type
def __str__(self):
return "%s is a %s" % (self.name, self.type)
def __init__(self):
self... |
989,050 | 4c1ec677a7f9b1a55585c40e1f6b48fb6b056d8f | from flask import Flask, render_template, redirect, url_for, request, jsonify
from subprocess import Popen, PIPE
import requests, json, socket, sys
from publish import Publish
from subscribe import Subscribe
app = Flask(__name__)
hostname=socket.gethostname()
@app.route('/')
def index():
return render_template(... |
989,051 | 4db2430b3b9596809acbde28eb4162b11babc9a6 | import tensorflow as tf
import tensorflow_hub as hub
import sentencepiece as spm
import matplotlib.pyplot as plt
import numpy as np
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
import pandas as pd
import re
import seaborn as sns
# data = pd.read_csv('atec_nlp_sim_train_add.csv', header=None, delimiter="\n")
def ... |
989,052 | 4b7123db1bbab9320747279bd7d6fcf32d41f973 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 28 22:15:53 2020
@author: Cheerag
Even Fibonacci Numbers
Given a number N find the sum of all the even valued terms in the fibonacci sequence less than or equal to N. Try generating only even fibonacci numbers instead of iterating over all Fib... |
989,053 | 421e4f1d09acccef17b898ac710171e26787f618 | #
#
# main() will be run when you invoke this action
#
# @param Cloud Functions actions accept a single parameter, which must be a JSON object.
#
# @return The output of this action, which must be a JSON object.
#
#
from datetime import datetime
import sys
import requests
import pystache
import config
def callAPI(url,... |
989,054 | 0fbb36136254c7899f22b13e91c5e937791a60e9 | nums = []
for _ in range(9):
nums.append(int(input()))
# sort를 안쓰는게 편할것같다는 생각을 했음.
# 최댓값이랑 index를 저장
max = nums[0]
count = 1
for i in range(9):
if max < nums[i]:
max = nums[i]
count = i+1
print(max)
print(count) |
989,055 | 5f338ce787b102d9c694c300d1a32b899c8dcfea | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 8 11:59:50 2018
@author: spalazzo
"""
"""
2048 GUI
"""
# import modules
import os
import pygame
# pygame specific locals/constants
from pygame.locals import *
# some resource related warnings
if not pygame.font: print('Warning, fonts disabled')... |
989,056 | 004eba63115a11de6a3aab599e88a9878cf5474c | import sys; sys.path.append("/Users/Shared/cs8");
import cTurtle
t = cTurtle.Turtle()
def f(x):
if x%2 == 0:
y = x//2
else:
y = 3*x+1
return y
def draw(xs):
x=xs
while x>1:
for i in range(3):
t.forward(x)
t.right(120)
for i in range(3):
... |
989,057 | 66fc239cf35f3f44e9fb2d5fef501e754d6a4a88 | /home/rosan/anaconda3/envs/Jarvis/lib/python3.6/copyreg.py |
989,058 | 595291b4ea15a9d6de69f8a47a966bdbd9f98e58 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
if __name__ == '__main__':
N = int(input("Количество сданных экзаменов = "))
if N > 20:
print("Ошибка", file=sys.stderr)
exit(1)
if N == 1:
a = " экзамен"
elif N <= 4:
a = " экзамена"
else:
... |
989,059 | 7bea9d1682bd57b6f9c60eedb6ba0934b11889b9 | # Considerando a existência de notas (cédulas) nos valores R$ 100, R$ 50, R$ 20, R$ 10, R$ 5, R$ 2 e
# R$ 1, escreva um programa que capture um valor inteiro em reais (R$) e determine o menor
# número de notas para se obter o montante fornecido. O programa deve exibir o número de notas
# para cada um dos valores de not... |
989,060 | d620b004070838f01d63e43f34a205105991249d | from lexer import *
from tree import *
# from tabletext import *
error_table = {"Wrong delimiter": -1, "Wrong key_word": -2, "No such identifier": -3, "Wrong integer": -4,
"Must be empty": -5, "Missing lexema \'unsigned-integer\'": -6, "Semantical error: label is already declareted": -7}
temp = lexer(... |
989,061 | 05332314dd23f6561a63449afa24a8209074e329 | def foo(n):
return 2 * n
def square(x):
return x ** 2
def cubic(x):
return x ** 3
print(square(cubic(2)))
print(cubic(square(2)))
|
989,062 | 21d0ee13e2e9d256f457a0b5795c878b8b86bf36 | # Generated by Django 3.2.4 on 2021-06-22 06:02
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('main', '0008_desc_type1'),
]
operations = [
migrations.AlterField(
model_name='expense',
name='balance',
... |
989,063 | b9355f7cf9fa59c900b0008c586d38bc1022f22b | import xlrd
import pymysql
import time
#打开数据所在的工作簿，以及选择存有数据的工作表
book = xlrd.open_workbook(r"F:\python自动化测试\day07_mysql工具类与excel读取\2020年每个月的销售情况.xlsx")
sheet = book.sheet_by_index(0)
#建立一个MySQL连接
conn = pymysql.connect(
host='localhost',
user='root',
passwd='',
db='fuzhuang',
port... |
989,064 | ab4facf89bca436ab87c69212771f233a7612f2e |
import nltk
import string
from nltk.tokenize import sent_tokenize
from nltk.tokenize import word_tokenize
import csv
def getnegCount(sentence,words_negscore):
text = nltk.word_tokenize(sentence)
count=0
for word in text:
if word in words_negscore:
count+=1
return count
def negativity_count(name):
words... |
989,065 | 45adaa848328b4d54242eef2781cca66a3c66e13 | from threading import Timer
import time
def debounce(wait):
"""Postpone a functions execution until after some time has elapsed
:type wait: int
:param wait: The amount of Seconds to wait before the next call can execute.
"""
def decorator(fun):
def debounced(*args, **kwargs):
... |
989,066 | 0d0e50906566e11f0a751405ba96ea1cc5690085 | class product:
def __init__(self):
self.name='SAMSUNG GALAXY E7'
self.description='GOOD'
self.price=21000
p1=product()
print(p1.name)
print(p1.description)
print(p1.price) |
989,067 | f34b8d817fd9e52f6f6d8c06331fd85b2293a315 | from gensim.models.word2vec import Word2Vec
import matplotlib.pyplot as plt
from sklearn.manifold import TSNE
import numpy as np
model = Word2Vec.load('Failure_workaround.model')
#keywords = [u'clock',u'flash',u'dma',u'sdram',u'cache',u'parity',u'state',u'set',u'register',u'interrupt',u'interrupts',u'mode',u'reset',... |
989,068 | 88c724a0aa42d55642231b506ad0dcead26e9b40 | # ipcalc/api/pingy/models.py
# Flask Imports
from flask_restplus import fields
# Local Imports
from . import api
pingy_model = api.model('Pingy', {
'ip_address': fields.String(required=True, description='IP Address'),
})
pingy_multi_model = api.model('Multi Pingy', {
'subnet': fields.String(required=True, d... |
989,069 | 5c73314d3b554cab0ddac4809ac1fc2302718887 | print('*****BIENVENIDO AL EJERCICIO 002*****')
lado = int(input('porfavor ingrese el lado del cuadrado: \n' ))
perimetro = lado * 4
area = lado * lado
print(f'El perímetro es {perimetro} y el área es {area}')
|
989,070 | 2a5ef5636ec5dd8a961133be925dec882fd1a889 | # Generated by Django 2.0.1 on 2018-04-16 21:20
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('board', '0004_auto_20180416_1238'),
]
operations = [
migrations.RenameModel(
old_name='Response',
new_name='Comment',
... |
989,071 | 1134987dd10a8073744643a5b83053e37ae2095e | """template.py
This is a template"""
def toStrConj(List):
assert List != []
clauseStr = '('
for lit in List:
clauseStr += lit
clauseStr += ' and '
clauseStr += ' (TRUE or -TRUE))'
return clauseStr
def toStrDisj(List):
assert List != []
clauseStr = '('
for lit in List:
... |
989,072 | 5a71b312590457e3b73228992144478d6ed917ab | # importing required modules
import threading , socket , os
from Code import *
import ast
class Client:
# Creating Socket
user = None
sock = socket.socket(socket.AF_INET,socket.SOCK_STREAM)
def sendmess(self): # Sending Message
while True:
msg = input("You : ")
data = {"msg":self.user.send(bytes(msg,"utf-... |
989,073 | fad79dd788f9fe557ce2559213af34146362507f | # coding=utf-8
'''
Created on 2013-12-5
@author: lidm1
'''
import ldap
class Ldap(object):
"""
Ldap for lenovo domain
"""
def __init__(self):
None
def connect(self,user_name,password):
try:
SERVER = "ldap://lenovo.com:389"
DN = u... |
989,074 | e84ad5298649533c91207a99b2cc56ac16857fd4 | from subprocess import check_output
check_output("dir C:")
|
989,075 | 9dc4e706a63f81f27bdfa15f9e9d3be4b7ab23a1 | #!/usr/bin/python
# -*- codding: utf-8 -*-
import os
import sys
sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__))))
from common.execute_command import write_parameter
# url : https://awscli.amazonaws.com/v2/documentation/api/latest/reference/ec2/describe-instances.html
if __name__ == '__main__... |
989,076 | 387c0250c3cb39bbb4f9b2ed5ffae83a54abbdf4 | #!/usr/bin/env python3.1
#
# Copyright (c) 2010, Philipp Stephani <st_philipp@yahoo.de>
#
# 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 restriction, including without limitation the... |
989,077 | 5edd111470a6a18adaef20fc6c1ecaa8ae819d70 | # -*- coding: utf-8 -*-
"""
Created on Sat Jan 16 22:20:53 2021
@author: subrat
"""
##OOP python class and instances
class member:
def __init__(self, first,second,session):
self.first=first
self.second=second
self.session=session
self.email=first + second + "@gmail.com"
... |
989,078 | 0f7b136851a8d1225034f308c89a5e1ec5f37d09 | # Creates a graph.
import tensorflow as tf
#from tensorflow.compat import v1 as tf
#sess = tf.InteractiveSession()
@tf.function
def d(a,b):
return tf.matmul(a, b)
a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a')
b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[3, 2], name='b')
#c = ... |
989,079 | 6d2eb1861601cebda4916ef0a41145ce996f9c05 | import random as r
zobrist_keys = [[r.randint(1, 2**64 - 1) for _ in range(12)] for _ in range(64)]
def hash_board(board): # chess.Boars
key = 0
for i in range(64):
if board.color_at(i) is not None:
ind = board.piece_type_at(i) + 6 * board.color_at(i) - 1 #abuse of type coercion
... |
989,080 | f07ad77aea20f8457250ccd969d7919ef8e56d85 | from flask import Flask, request, redirect, render_template, make_response, Response
from flask_login import LoginManager, login_user, login_required, logout_user
from flask_wtf import FlaskForm
from wtforms import StringField, TextAreaField
from wtforms.validators import DataRequired
from flask_wtf.csrf import CSRFPro... |
989,081 | 7b7f7b32cd0582ecef923a13a87c57158ca49042 | '''Problem
In DNA strings, symbols 'A' and 'T' are complements of each other, as are 'C' and 'G'.
The reverse complement of a DNA string s is the string sc formed by reversing the symbols of s, then taking the complement of each symbol (e.g., the reverse complement of "GTCA" is "TGAC").
Given: A DNA string s of lengt... |
989,082 | 870c9a030eaa424ef7afbdc5385ba287bb716c18 | from flask_wtf import FlaskForm
from wtforms import SubmitField, StringField, DecimalField, FileField
from wtforms.validators import DataRequired
class ProductForm(FlaskForm):
title = StringField('Название товара', validators=[DataRequired()])
picture = FileField('Изображение')
description = StringField('... |
989,083 | a3bd91948f464dbf1cbe8e5aa11a4ee9bf356201 |
import filetalk
D = filetalk.arg()
S = []
for cmd in D["EXPR"]:
if cmd == "+":
S.append(S.pop()+S.pop())
else:
S.append(cmd)
filetalk.write(D["WRITE_RESULT"], S.pop())
|
989,084 | ec560ac4c13231219f72946a51846e808364f5b5 | from __future__ import print_function
from __future__ import division
import tensorflow as tf
def average_pooling(emb, seq_len):
mask = tf.sequence_mask(seq_len, tf.shape(emb)[-2], dtype=tf.float32) # [B, T] / [B, T, max_cate_len]
mask = tf.expand_dims(mask, -1) # [B, T, 1] / [B, T, max_cate_len, 1]
emb... |
989,085 | 70e9ee92be7c98ae7efb747ab72078fd525c9b24 | #-*- coding: utf-8 -*-
import serial
import kivy
from kivy.app import App
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.button import Button
from kivy.uix.label import Label
class ChatApp(App):
def build(self):
#reconnaissance de la carte Arduino:
self.Arduino = serial.Serial('COM13', ... |
989,086 | 56929c580b855ac8267373073725472ededc02ba | import os
import pkg_resources
from setuptools import setup, find_packages
setup(
name="human-eval",
py_modules=["human-eval"],
version="1.0",
description="",
author="OpenAI",
packages=find_packages(),
install_requires=[
str(r)
for r in pkg_resources.parse_requirements(
... |
989,087 | 6e4c582ce3aa3e0828407730395a8eb2f770663d | from app import db
from datetime import datetime
class Data(db.Model):
__tablename__ = "data"
id = db.Column(db.Integer,primary_key=True)
temperature = db.Column(db.Float)
humidity = db.Column(db.Float)
timestamp = db.Column(db.DateTime,default=datetime.now)
def to_json(self):
json_da... |
989,088 | b81b8fc9f9f6d4e2bad2f7af9de7c24e8d2c47ad | # Copyright 2011 Isotoma Limited
#
# 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 applicable law or agreed to in writing... |
989,089 | dec65803691e02b448bdc4e246475e59c9780864 | N, A, B = map(int, input().split())
print(B * N if N <= 5 else B * 5 + A * (N - 5))
|
989,090 | 3d688e304339b1669733b2f5526f9fac5fc086e0 | from collections import namedtuple
from models.supersenses import vocabs, embeddings
from models.supersenses.features.feature import Feature, FeatureType, MountPoint, Features
from models.supersenses.features.features_utils import get_parent, get_grandparent, get_child_of_type, get_children, \
is_capitalized, get_... |
989,091 | 58c2c9fc4138c8844ad73bfa4ba68061601c5508 | import numpy as np
from Box2D import b2BodyDef, b2_staticBody, b2World
from Setup.MazeFunctions import BoxIt
from scipy.spatial import cKDTree
from pandas import read_excel
size_per_shape = {'ant': {'H': ['XS', 'S', 'M', 'L', 'SL', 'XL'],
'I': ['XS', 'S', 'M', 'L', 'SL', 'XL'],
... |
989,092 | 6220d514d19e43489222500c170ab546170ab3d0 | from django.core.exceptions import ObjectDoesNotExist
from django.shortcuts import render
from django.http import HttpResponse
from django.views.decorators.csrf import csrf_exempt
from django.views.decorators.http import require_http_methods
from django.http import JsonResponse
from rest_framework.decorators impo... |
989,093 | 37645d785e400cac770dc19861956fd12337fa5b | # from the jupyter notebook provided by the class
import torch
import torch.nn as nn
import numpy as np
from torch.utils.data import DataLoader, Dataset, TensorDataset
import torchvision.datasets as ds
import pylab as plt
def load_mnist(datadir='./data_cache'):
train_ds = ds.MNIST(root=datadir, train=True,
... |
989,094 | 938469b07cb2d441712be70a42dbbffc141a9ba7 | import re
from django.contrib.auth.models import User
from django.test import TestCase
from django.core.urlresolvers import reverse
from devilry.apps.core.testhelper import TestHelper
from devilry_qualifiesforexam.models import Status
from devilry_qualifiesforexam.views import StatusPrintView
from devilry_qualifiesfor... |
989,095 | 2578a29cb4e521bf8461942f33d45fe4a483f6ff | import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.nn.functional as F
from torch.utils.data import DataLoader,Dataset
import torchvision
from torchvision import transforms, datasets
import os
import argparse
import shutil
from PIL import Image
import math
import time
import numpy as np... |
989,096 | 3badbc835fbad26a001092d745d6c89a520f5b22 | import turtle
t = turtle.Turtle()
sc = turtle.Screen()
sc.bgcolor("gray")
t.pencolor("red")
a = 0
b = 0
t.speed(0)
t.penup()
t.goto(0,200)
t.pendown()
while(True):
t.forward(a)
t.right(b)
a+=3
b+=1
if b == 210:
break
t.hideturtle()
turtle.done() |
989,097 | c6d611644cdd8a529f15fc4e4ba19c4debf887f7 | #
# @lc app=leetcode.cn id=832 lang=python3
#
# [832] 翻转图像
#
# @lc code=start
class Solution:
def flipAndInvertImage(self, A: List[List[int]]) -> List[List[int]]:
l_r = len(A)
l_c = len(A[0])
for r in range(l_r):
for c in range((l_c+1)//2):
A[r][c], A[r][l_c-1-c]... |
989,098 | 36b6c2c5a6da44b688a5ba92e751abbdf26a158a | import numpy as np
from scipy.spatial.transform import Rotation as R
class ObsGen:
def reset (self):
pass
class TeacherObsGenerator (ObsGen):
def __init__ (self, state):
self.state = state
self.sub_gen_class = {"real_obs": RealisticObsGenerator, "sim_obs": SimObsGenerator, "vf_obs": VfGenerato... |
989,099 | 553b6ad342d1f566bc3bd1dd59ee0dd4df103eac | #用Python进行SQLite数据库操作
import sqlite3
#创建数据库
con=sqlite3.connect('templates/flaskr.db')
#游标对象是用来执行select查询数据库的，db连接对象才是用来做增删改操作的
cur=con.cursor()
#创建表格
try:
cur.execute('create table region(id interger primary key,name varchar(10))')
except sqlite3.OperationalError as e:
print('表格region已存在')
#插入一条数据
try:
c... |
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