index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
998,100 | 6c04350a6741a594e2c05972af8a5bc262792336 | # -*- coding: utf-8 -*-
# Copyright 2019 ICON Foundation
#
# 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 ... |
998,101 | 348fcd3f0350f21fd10f946e1b0d7136e42e4b48 | from scrapy import Spider
from scrapy.selector import Selector
from get_weather.items import GetWeatherItem
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support i... |
998,102 | dfe95e5ecb3d46313d55d7bfa9092e563ea1e020 | from compute_ghcm_mdt_one_user import compute_ghcm_mdt_one_user as cgou
cgou(4) |
998,103 | d02154b27da930bcdac29cf5b093577ccd1c3b53 | from HMM_helper import *
from HMM import *
from makeRhymeDic import getRhymeDicShakes
import random
import numpy as np
# Parse the text file
f = open('data/shakespeare.txt')
obs, obs_map = parse_observations(f.read())
f.close()
X = obs
# Parse the A and O matrices
A = np.loadtxt('HMM_A.txt')
O = np.load... |
998,104 | 09e92db174c24f1bcb49b24af31470604cc389da | import heapq
from options import Options
from tile import Tile
from drop import Drop
class AStar:
NSEW = -Options.tiles_x, Options.tiles_x, 1, -1 # Add to find tile in a direction
def __init__(self, zombie, survivor):
for tile in Tile.opens: # Reset from last search
tile.pa... |
998,105 | 4db2157789ca6feab0754681966c1433aedf8193 | import FWCore.ParameterSet.Config as cms
process = cms.Process("MyAnal")
process.load("Configuration.StandardSequences.Geometry_cff")
process.load("RecoJets.Configuration.CaloTowersES_cfi")
process.load("FWCore.MessageService.MessageLogger_cfi")
process.maxEvents = cms.untracked.PSet( input = cms.untracked.int32(-1... |
998,106 | 483807fc64e55f4a625bf21922aed528b2747954 | # This example sets a weight of 1.0 for all clones of the active Cloner object
import c4d
from c4d.modules import mograph
def main():
# Aborts if no active object or if it is not a Cloner
if op is None or op.GetType() != 1018544:
return
# Builds list for clones weights values
weights = [1... |
998,107 | 07acf84f656095b9926e4d276f99d5b480c8b50a | from pyo import *
import math
import time
import os
import glob
import load
s=Server(sr=44100,duplex=0).boot()
name = "nessaAllTrim.wav"
path = "../samples"
name="BD TI.wav"
infile = os.path.join(path, name)
print "current file is: " + infile
table = SndTable(path=infile)
dur = table.getDur()
trig=Trig... |
998,108 | 9c5e3939732ede0863d130bd48960fe3ccb350c0 | from enum import Enum
from typing import List, Optional
from pydantic import BaseModel, Field, PositiveInt, validator
class MaritalStatus(str, Enum):
single = "single"
married = "married"
class OwnershipStatus(str, Enum):
mortgaged = "mortgaged"
owned = "owned"
class House(BaseModel):
ownersh... |
998,109 | 87c5deec30c62992f15680911f37f76d6d7fc026 | import numpy as np
import pandas as pd
from gradientDescend_oops import lm,logit
import matplotlib.pyplot as plt
import seaborn as sns
import statsmodels.api as sm
import statsmodels.discrete.discrete_model as smd
#from gradientDescend import logit
###################### reading data ##################################... |
998,110 | 0351908ef3dc33f70df8fc4fc33c9a1d9e5df8d1 |
from django.shortcuts import render, get_object_or_404
from restful import restful
from ..models import Cat
from ..forms import CatModelForm
from django.http import HttpResponseRedirect
from django.urls import reverse
import sys
@restful
def edit(request, cat):
if request.method == 'POST':
... |
998,111 | 51b279f08c59f7e055cca2cef4308bdf3d76594a | """
===== LIGHT SEQUENCE RUNNER v.1.0b =====
Copyright (C) 2019 - 2020 IU7Games Team.
Запуск стратегии 7EQUEENCEGAME игрока, для проверки на отсутствие segmentation fault,
бесконечных циклов и так далее.
"""
import os
from games.sequence.sequence_runner import start_sequence_game
def light_sequence_r... |
998,112 | 0a313d58805d64820850beadce26c07972e4579e | from odoo import api, fields, models, _
from odoo.exceptions import UserError
from odoo.tools import amount_to_text_en, float_round
import odoo.addons.decimal_precision as dp
#==================================================
# Class : BiJournalVoucher
# Description : Account Receipt Details
#=========================... |
998,113 | 12b9cd5ad1a2e0b29ecf1b7df4b2bc8ef09641e0 | # -*- coding: utf-8 -*-
"""
Code Challenge
Name:
Titanic Analysis
Filename:
titanic.py
Dataset:
training_titanic.csv
Problem Statement:
It’s a real-world data containing the details of titanic ships
passengers list.
Import the training set "training_titanic.csv"
Answer the Fo... |
998,114 | 22bf197cf19246f3959ee8445732165990cd9c3a | #!/usr/bin/python3
# -*- coding: utf-8 -*-
#from test0 import test
from exams import quiz
import sys
# Let's load the csv with the data
csv = open('pinyin.csv', 'r', encoding='utf-8').read().split("\n")
language = 2 # default: english
if len(sys.argv) > 1: # some parameters introduced!
if sys.argv[1] == "--spani... |
998,115 | 7bc909213c53c94b277d182f8db205ad08b8a236 | from core.effect.base import EffectBase
from core.helper import chance
from core.tuning.skill import SkillTuning
from raisecap.tuning.effect import EffectTuning
from siege import game, Locale
class Precision(EffectBase):
TUNING = EffectTuning.PRECISION
@property
def description(self):
return Loc... |
998,116 | 13ff5ad2c69dfe8bfc01aea24f67b73dbd222336 | ####### STANDARD/INSTALLED PACKAGES #######
from blogREST.common.utils import token_required
from flask import current_app, request, Flask, Blueprint, jsonify, redirect, url_for, session
from flask_restplus import Resource, Api, fields, Namespace
from flask_pymongo import PyMongo
from flask_dance.contrib.google import ... |
998,117 | 26be626185a0455e8c689e1622678bf526980d55 | #!/usr/bin/env python3
#
# Copyright 2017, The Android Open Source Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... |
998,118 | 7d10827a017d7090c10bdc89bbae4dbaeafe0efe | import math
d = int(input())
day = math.sqrt(d)
if day % 2 == 0:
print("OK")
else:
print("NG")
# 入力例1
# 256
# 出力例1
# OK
# 入力例2
# 255
# 出力例2
# NG |
998,119 | 3aa50d34a3689d9fbee1cf59b346fa054fa18b67 | print("Enter your name:")
name = input()
print("Enter your age:")
age = input()
print("You entered: " + name + " " + age)
|
998,120 | 54bdf9404be5096358c6ce413a2fda26c6c3df7d | '''
请解析IP地址和对应的掩码，进行分类识别。要求按照A/B/C/D/E类地址归类，不合法的地址和掩码单独归类。
所有的IP地址划分为 A,B,C,D,E五类
A类地址1.0.0.0~126.255.255.255;
B类地址128.0.0.0~191.255.255.255;
C类地址192.0.0.0~223.255.255.255;
D类地址224.0.0.0~239.255.255.255；
E类地址240.0.0.0~255.255.255.255
私网IP范围是：
10.0.0.0～10.255.255.255
172.16.0.0～172.31.255.255
192.168.0.0～192.168.255.25... |
998,121 | 3057d997c71f44ba98e538f18aaa900730d8476f | # Copyright (c) 2019 NTT DATA
#
# 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, ... |
998,122 | abac2fa97a42f4b3040cf3904ee985c099017ed2 | """
内容：集合
data：2019.6.19
"""
# 1. 用{}括起来的，但是没有体现映射关系，集合中的元素是无序的，集合中的元素输出后都是唯一的
num1 = {}
print(num1)
num1 = {1,2,3,4,5}
print(num1)
set1 = {}
set2 = set([1,2,3,4,5,6]) # 用set（）创建集合参数为列表
print(set1)
print(set2)
list1 = [1, 2, 3, 4, 4, 2, 7, 8, 9]
list1 = list(set([1, 2, 3, 4, 4, 2, 7, 8, 9]))
print(list1)
print(0 i... |
998,123 | 1f9e8df064adaf93d6d7fa21e9bd687c4854c573 | """
MIT License
Copyright (c) 2020-2021 Ecole Polytechnique.
@Author: Khaled Zaouk <khaled.zaouk@polytechnique.edu>
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... |
998,124 | 243461e7b70a633bf2ae431b294c99df121d95ea | a=int(input())
x= [int(n) for n in input().split()]
def median(x):
x.sort()
mid = len(x) // 2
return (x[mid] + x[~mid]) // 2
s1=median(x)
print(s1)
|
998,125 | d03d8477dccbdec4c8787dab1fff0f4b8e918987 | import pygame
from game import Game
import os
start_btn = pygame.image.load(os.path.join('menu', 'button_play.png'))
logo = pygame.image.load('logo.png')
class MainMenu:
def __init__(self):
self.width = 1250
self.height = 700
self.win = pygame.display.set_mode((self.width, self.... |
998,126 | d11beb2dc14ad353b42cabd46eef3ce4619f5570 | from django.core import validators
from django import forms
from django.db.models import fields
from django.forms import widgets
from .models import Student
class StudentRegistration(forms.ModelForm):
class Meta:
model = Student
fields = ('name', 'email', 'password') #We can use list as well
... |
998,127 | a12206b7bbbf61147507c844977c4b09240e21ae | import time
import torch
import subprocess
import os
from model import EAST
from model2 import EASTER
from detect import detect_dataset
import numpy as np
import shutil
def eval_model(model_path, test_img_path, submit_path='./submit', save_flag=True, set_scale=4, model='EAST', limit=False):
if os.path.exists(submit_... |
998,128 | 96351f36468876e8fe5e433357c95ee9b283c265 | def get_fibonacci_last_digit(n):
if (n < 1):
return n
prev = 0
curr = 1
for _ in range(n - 1):
prev, curr = curr % 10, (prev + curr) % 10
return curr % 10
def get_fibonacci_sum(n):
last_digit = get_fibonacci_last_digit((n + 2) % 60)
sum_last_digit = get_last_digit_after_... |
998,129 | 90e4336b9f271c410edc63189503e7bedb6a164d | #Ibrahim Kamal
#ik363
#Ball class to draw the ball
from Drawable import Drawable
import pygame
class Ball(Drawable):
def __init__(self , location , color , radius , visibility):
super().__init__(visibility) #visibility boolean of ball
self.location = location #location of ball
self.color =... |
998,130 | 9f05528974185ab74758a3f49b3f642580b9b068 | import json
import numpy as np
from fastai.text import *
from azureml.core.model import Model
import logging
logging.basicConfig(level=logging.DEBUG)
def init():
global model
model_path = Model.get_model_path('sa_classifier')
model_path = os.path.split(model_path)
model = load_learner(path=model_p... |
998,131 | afbcff4f0accfe775ef91c55864960e307825488 |
from townsquare import db, app, manager
db.init_app(app)
if __name__ == '__main__':
manager.run() |
998,132 | 0af9eb188dc4d963651e2960b95cf3428baec82f | from pyscf import gto, scf, ao2mo
import numpy as np
mol = gto.M(atom='H 0 0 0; H 0 0 0.7414', basis='sto3g')
mol.build()
mf = scf.RHF(mol)
ehf = mf.kernel()
hij = mf.get_hcore()
print(hij)
print("Mo coeff: " + str(mf.mo_coeff))
mohij = np.dot(np.dot(mf.mo_coeff.T, hij), mf.mo_coeff)
print(mohij)
print("Orbitals ene... |
998,133 | f7defb9a743d98a098d38e39f5a42fed6aa919e1 | # 导入pygame包
import pygame
# 初始化pygame
pygame.init()
# pygame内容 编写游戏的代码
print("游戏的代码。。。")
# 退出pygame 释放内存
pygame.quit() |
998,134 | 8243f2b6777c3fb6917dedcba210116d5737deea |
import matplotlib.pyplot as plt
from _3 import RandomWalk
rw = RandomWalk()
rw.fill_walk()
plt.scatter(rw.x_values, rw.y_values, s=15)
plt.show()
|
998,135 | 318e193079c933e6b9523adf05f701b242085ca4 | # -*- coding: cp936 -*-
import copy
#D=[['A','B','C','D'],
# ['B','C','E'],
# ['A','B','C','E'],
# ['B','D','E'],
# ['A','B','C','D']
# ]
D=[['I1','I2','I5'],
['I2','I4'],
['I2','I3'],
['I1','I2','I4'],
['I1','I3'],
['I2','I3'],
['I1','I3'],
['I1','I2','I3','I5'],
['I1','I2','I3']
... |
998,136 | e93baca7a39b345f15bd7c15f0ecd2bf5311fc92 | from flask import Flask, jsonify
import json
from tasks import connect
app = Flask(__name__)
data = {"han": 0,
"hon": 0,
"den": 0,
"det": 0,
"denna":0,
"denne": 0,
"hen": 0,
'alltweets': 0}
@app.route('/run')
def index():
connect.delay()
return "He... |
998,137 | 466d68a3561bd50d46ca793b2146e23d9b39a753 | from app import manager
if __name__ == '__main__':
manager.run(host='0.0.0.0', ssl_context='adhoc')
|
998,138 | 9577eaac34c2fd2351c29f2e3587d886ec423c31 | class Course:
def __init__(self, name: str, num: str, instructor: str = 'TBA', schedule: str, credit: int = 0):
self.name = name
self.num = num
self.credit = credit
self.instructor = instructor
department = ''
for i in self.num:
if i not in '1234567890': ... |
998,139 | 955dac6633fc84e99d1571d64c3da37c95f78045 | import unittest
from config import Config
class VestingBalanceTestCase(unittest.TestCase):
def testCreateVestingBalance(self):
params = {
"owner": "testaccount6",
"amount": 10000,
"asset": "1.3.4",
"start": "2019-08-6T10:00:00",
"_type": "cdd",
... |
998,140 | 5d40dd7be51f6204225634bdfeb12525de9d28fe | ##################################################################
# MESURE DU TAUX D'OCCUPATION DE PARKINGS A L'AIDE #
# DE CAMERAS VIDEOS #
# -------------------------------------------------------------- #
# Rémi Jacquemard - TB 2018 - HEIG-VD ... |
998,141 | 5eb48e01141598ff7e686b9a4c84f152e0101afe | from __future__ import print_function
import keras
from keras.datasets import mnist
import matplotlib.pyplot as plt
import pickle
import numpy as np
(X_train, y_train), (X_test, y_test) = mnist.load_data()
pant = mnist.load_data()
class_names = ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"]
X_train = X_train/25... |
998,142 | 2c6741805ca69ac177670de4171cfe742cba5c68 | from django.test import TestCase
from .calc import add, subtract
class CalcTests(TestCase):
def test_add_two_numbers(self):
"""test that two numbers are added"""
self.assertEqual(add(5, 9), 14)
def test_subtract_numbers(self):
"""test that two numbers are subtracted from each other ... |
998,143 | 8214d59b5fd50f4117e3de598244994636e04edb | # Demonstrates logging
# Attributes that can be put into the basicConfig:
# level
# filename
# filemode
# format
# %(name)s - %(levelname)s - %(message)s - %(asctime)s - %(lineno)s
import logging
# Determines the level at which logging will be issued: Info will show all levels up from INFO (INFO,
# WARN... |
998,144 | df89d0b7d39ba30f3d814e71b7c660cbfcac5687 | kilometri=input("Unesite kilometre: ")
kilometri_float=float(kilometri)
milje=kilometri_float * 0.6213
print (milje) |
998,145 | 3edd24fadce05375eed7719540734f797047b69b | import sys
sys.path.append("..")
from _231_motifMatrix import profileMotifs, score, countMotifs, consensus
from _251_profileMostProbableKmer import profileMostProbableKmer
from lib import verticalPrint, spacedPrint
def greedyMotifSearch(dna, k, t):
#computes a collection of strings as best motifs.
bestMotifs ... |
998,146 | 782fc9d99165ac2d4d6c180819d97e9b3ef14d93 | import torch
import torch.nn as nn
from torch.autograd import Variable, grad
import numpy as np
import os
import common
class MWCNN(nn.Module):
def __init__(self, args, conv=common.default_conv):
super(MWCNN, self).__init__()
#n_resblocks = args.n_resblocks
n_feats = 64#args.n... |
998,147 | 0d1e3fb200d496d9e8c1ef27962e3e7478a647fc | from django.db import models
from django.contrib import admin
class Cursos(models.Model):
nombrecurso = models.CharField(max_length=30)
def __str__(self):
return self.nombrecurso
class Alumnos(models.Model):
nombrealumno = models.CharField(max_length=60)
calificaciones = models.TextFi... |
998,148 | 8e35544a47ff3ac3482b3c80c8ff0f8d45d3814c | from serial import Serial
from time import sleep
''' 1) Try crack single byte. Run logic for ~300 sec '''
''' 2) Save logic to CSV file (this directory) '''
''' 3) Run read_csv.py to display time '''
ser = Serial('COM3', 9600)
ser.close()
for key in range(255, 0, -1):
ser.open()
sleep(0.02)
# send 16 ze... |
998,149 | 89c63ef05ceaea4950443e6ac67a1785c6a4c033 | # Author: Zsolt Kébel
# Date: 18/11/2020
file = open("text.txt")
swFile = open("sensitive_words.txt")
text = file.read()
sensitiveWords = swFile.readlines()
newText = ""
for sensitiveWord in sensitiveWords:
newText = text.replace(sensitiveWord, "*")
print(newText)
file.close()
swFile.close()
|
998,150 | 539a0b290cd374d822e9d0d576596ecb96e496d9 | # -*- coding: utf-8 -*-
import scrapy
from datetime import datetime
from papermedia.items import ScienceAdvancesItem
from scrapy.http import Request
class ScienceAdvancesSpider(scrapy.Spider):
name = "scienceadvances"
# allowed_domains = ["advances.sciencemag.org"]
__url_root = 'http://advances.science... |
998,151 | 04d6e322ce254ac6a9cfa5b21f6d94beddba571b | import os
import subprocess
from weakref import ref
from lib import pyjack
import pyrser
from pyrser import meta
from pyrser.grammar import Grammar
from cnorm.parsing.declaration import Declaration
from cnorm.parsing.expression import Expression
from cnorm import nodes
from kooc_nodes import Import
from kooc_nodes ... |
998,152 | 678c69e0de709884695b9acf4aad4a310b6cba4c | import streamlit as st
import pandas as pd
import numpy as np
from openpyxl import Workbook, load_workbook
import SessionState
"""
This function takes in a dataframe and returns a dictionary with the topic title as key and the leading comment as value
"""
#@st.cache(suppress_st_warning=True, allow_output_mutation=True... |
998,153 | 9fa63b60043d5684455ac79c54e332daaf490778 | # Tentamen versie :BMFWRDZN
# Gegevens :Reuben Domacasse 0918901 23-10-2017
# Opgave :1-001
# Inleiding: De inhoud van een voorwerp met een diameter van 33 cm wordt berekend met de formule: 1/8 x 3,14 x (33^4) / 5
# Opdracht: Schrijf een programma dat deze berekening uitvoert.
# Eisen: ... |
998,154 | 534489e080080c32d8e77c3c74435cdeeb523ece | # Ejercicio propuesto por Guillermo Cirer
# Lesson 2: Problem set (Optional 2)
# Superhero Nuisance
# Enunciado del ejercicio:
# Write a Python procedure fix_machine to take 2 string inputs
# and returns the 2nd input string as the output if all of its
# characters can be found in the 1st input string and "Give me
# so... |
998,155 | 6d55d42180b146cae6ab59196feab66f56fe912b | from lib.util import BaseAPIView
from rest_framework.views import APIView
from rest_framework.permissions import AllowAny
from rest_framework.response import Response
from rest_framework import status
from Apps.fcb.models import *
from rest_framework.generics import ListAPIView
from Apps.fcb.serializers import P... |
998,156 | b965383e225fd381da63b82edf80d981c0da7e96 | import sys
import socket
import json
"""
Method evaluates bond order based on price. Returns a json
order to execute
"""
def evaluate_bond_order(book, order_id, positions):
if book['BOND'][0] == 0:
return {"type": "add", "order_id": order_id, "symbol": "BOND", "dir": "BUY", "price": 999, "size": 1}
if ... |
998,157 | 15464512d5e19f604ddb0db052047993c5df079a | from tkinter import Tk, Canvas, Frame, Button, BOTH, TOP, BOTTOM, LEFT, RIGHT, Label
import copy
from gameAI import Game_Solver
from sudokuGenerator import generate
MARGIN = 80
SIDE = 120
WIDTH = HEIGHT = MARGIN * 2 + SIDE * 9
LEVEL = "Easy"
class SudokuUI(Frame):
"""
"""
def __init__(self, parent, game):... |
998,158 | 156942020e684d80daf56ef5041d235ef4c0fdda | # -*- coding: utf-8 -*-
# Generated by Django 1.10.1 on 2016-11-22 01:10
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('rescuteApp', '0003_report_location'),
]
operations = [
migrations.AddField(... |
998,159 | 29970f43d3f01729f71097b37b6c9eb300f55abc | # Import necessary modules
from flask import Flask, request
import pickle
import pandas as pd
app = Flask(__name__)
with open('xgb_model_new','rb') as m:
model = pickle.load(m)
with open('features.pkl', 'rb') as m:
features = pickle.load(m)
@app.route("/")
def index():
return 'Server is up and runnin... |
998,160 | d779c5f1b1fdc19b1ae5006cf0eed836c0701a87 | import sys
from collections import deque
def input(): return sys.stdin.readline().strip()
def main():
"""
Nを-2べきで展開したときの末端項がmod 2で決定できるから
末尾から再帰的に桁が決められたのか。。。
"""
N = int(input())
if N == 0:
print(0)
return
idx = 0
ans = deque([])
while N != 0:
if N % 2 == 0... |
998,161 | a061a06e3209f6705b1fe949a600d860be1f98d9 | from .base import Base
from app.db import db
class PastPerformance(Base):
__tablename__ = 'past_performances'
__table_args__ = (
db.Index(
'_horse_track_date',
'horse_id',
'track_code',
'race_date'
),
db.UniqueConstraint(
'ho... |
998,162 | aabbd5a2f2bbdf011c60694f2722c7bd2ed1d8ed | '''
See examples.py, constants.py, or main.py for configurable code.
'''
def clamp(value, min_value, max_value):
return min(max_value, max(min_value, value))
def smoothstep(min_edge, max_edge, value):
value = clamp((value-min_edge) / (max_edge-min_edge), 0, 1)
return value * value * (3 - 2 * value)
impor... |
998,163 | c6d4cc1e52cd9db8bff2e588b3b9d5d178d4a79d | #! /usr/bin/env python
print "Configure Server Started!!!"
from shutil import copy, copytree, move
import subprocess
#the copy and copytree methods can help you move stuff out of your expanded package to various places on the server.
#subprocess.call(["rm /var/www/html/test.py",""], shell=True)
#subprocess.call(["rm... |
998,164 | 06d008c5a3fb04c1a0297d632c38f6dc1bf3f5f7 | import random
import numpy as np
from cs231n.data_utils import load_CIFAR10
import matplotlib.pyplot as plt
plt.rcParams['figure.figsize'] = (10.0, 8.0)
plt.rcParams['image.interpolation'] = 'nearest'
plt.rcParams['image.cmap'] = 'gray'
cifar10_dir = 'cifar-10-batches-py'
X_train, y_train, X_test, y_test = load_CIF... |
998,165 | c419aceacc79e28cc296f40a1cef14753f0c67df | import csv
import datetime
import time
import os
dirpath = os.getcwd()
print("current directory is : " + dirpath)
path_to_file = './input/'
os.chdir(path_to_file)
print("current directory is : " + os.getcwd())
# get inactivity period from .txt
inactivity_period_file = open('inactivity_period.txt', mode='r')
inactivi... |
998,166 | 9c959fac06208eb7724c4897e062c390c302733e |
from flask_sqlalchemy import SQLAlchemy
from flask_marshmallow import Marshmallow
from marshmallow_sqlalchemy import SQLAlchemyAutoSchema
import datetime
db = SQLAlchemy()
class Libro(db.Model):
id = db.Column(db.Integer, primary_key = True)
titulo = db.Column( db.String(50) )
autor = db.Column( db.St... |
998,167 | 8c237bdb7868c7b7868a35237a5080a2ce00e1b7 | #coding=utf-8
#####################################################
# Written By lsvih #
# 2016-11-07 #
# Convert algebraic expression #
# to functional expression #
###################################... |
998,168 | 1bb70e84949fa3c86f2de52b817879f035e527c4 | import setuptools
setuptools.setup(
name='seleniumslicer',
version='0.0.1',
author='Feng Liu',
author_email='feng3245@gmail.com',
description='Given selenium drive and elements. Extract the element screen capture',
long_description='Given a driver and an element on the p... |
998,169 | 4fd746e39f5735f234cf057ee9ddfd27b543c432 |
roots = {
'com': {
'extend': None,
'domain_name': r'Domain Name:\s?(.+)',
'registrar': r'Registrar:\s?(.+)',
'registrant': None,
'creation_date': r'Creation Date:\s*(.+)\s*',
'expiration_date': r'Expiration Date:\s*(.+)\s*',
'updated_date': ... |
998,170 | a68e6cfcaeaaa3dc27788e9bd33e982691de41b4 | import pymysql
import datetime
from datetime import date, datetime, timedelta
import time
import urllib.request
import json
import urllib.parse
#Asumsi : Database main diisi oleh program di main server
write_api="ZK7J4CMO3WDQ7YTF"
read_api="C2LETLVY0NPLWBMT"
while True:
### MEREKUES DATA DARI DATABASE main SERVE... |
998,171 | 4926f2ce9ccc62178c89d3f5e150d52b7ff4ed77 | from parameterized import parameterized
from unittest import TestCase, mock
from insightconnect_plugin_runtime.exceptions import PluginException
from komand_active_directory_ldap.actions.disable_users import DisableUsers
from komand_active_directory_ldap.actions.disable_users.schema import Input, Output
from common im... |
998,172 | c871061e07442d06cc50fed109e21d9fc60b856a | import flask
import pandas as pd
|
998,173 | 5748998a5a570edbe587c15d4dee854849d5c0d4 | import random
import json
class Animal(object):
DEAD_RATIO = 0.8
DEAD_CHANCE_RATIO = 0.8
LIFE_EXPECTANCIES = {'Snake': 12,
'Horse': 30,
'Wolf': 25,
'Tiger': 24,
'Bear': 40
}
AV... |
998,174 | 535639656374abf2def5d4d91e1bf77756a36f83 | from http.server import BaseHTTPRequestHandler, HTTPServer
from postcrd import Postgres
import re
from json import dumps
class Handler(BaseHTTPRequestHandler):
def header(self):
self.send_response(200)
self.send_header('Content_type', '')
self.end_headers()
def do_GET(self):
... |
998,175 | be3e197df204b9f79ca548dd9f9014507c2f40cc | import make_registers
from lxml import etree
def extract_ecat_ids_sax(xml_file, ids_file):
ids = make_registers.extract_ecat_ids(xml_file)
print(len(ids))
open(ids_file, 'w').write('\n'.join((str(id) for id in ids)))
def extract_ecat_ids_xpath(xml_file, ids_file):
namespaces = {
'mdb': 'http... |
998,176 | 532ba476ab24bc9431c082d2ebd25858ed75432c | #coding:utf-8
#数字和数学计算
print "I will now count my chickens:"
print "Hens", 25 + 30 /6
print "Roosters",100-25 *3/4
print "Now I will count the eggs:"
print 3 + 2 + 1 - 5 + 4 % 2 -1 /4 +6
print "It is true that 3 + 2 < 5 -7?"
print 3 +2 < 5-7
print "What is 3+2?", 3+2
print "What is 5-7?", 5-7
print "Oh, that... |
998,177 | c87cc29197577fd631259beec521c4c82bec21c0 | import pygame,sqlite3,random
from pygame.constants import MOUSEBUTTONUP, MOUSEMOTION
pygame.init()
#width and height for the screen
display_width=800
display_height=600
#make the slide window
gameDisplay = pygame.display.set_mode((display_width,display_height))
FPS=60
#width and height for the board
Boardwidt... |
998,178 | 07ca3bcbf9d17a26cf576984aa36104bfa0e4a4d | calificaciones = {"calculo": 10, "dibujo": 5}
sumaCalificaciones = calificaciones.get("calculo") + calificaciones.get("dibujo")
totalNota = sumaCalificaciones / 2
print("El promedio mayor es calculo: ", calificaciones.get("calculo"), '\n', calificaciones.get("dibujo"), '\n', totalNota) |
998,179 | 3923a1046583d2898b6bdb64243fa9aee1a65bb4 | from django.views.generic.base import TemplateView
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import authentication, permissions
from api.models import Member
from api.serializers import UserSerializer
from authentication import QuietBasicAuthentication
fro... |
998,180 | dbf010209a585ca953bb2092271e93fa2778584e | import cv2
cap = cv2.VideoCapture(1)
while True:
_, vid = cap.read()
cv2.imshow("Camera", vid)
if cv2.waitKey(10) == ord('q'):
break
cap.release()
cv2.destroyAllWindows() |
998,181 | 85f9436227040564788d24c38a3b5518b57538c8 | import numpy as np
A = np.random.randint(0, 10, size=(3, 2))
B = np.random.randint(0, 10, size=(3, 3, 3))
C = np.random.randint(0, 10, size=(3, 1))
# print(A**2)
# print(np.sqrt(A))
# print(A)
# print(C)
# print(A + C)
# print(B + C)
print(B)
B[:, 0:2, 0:2] -= 20
print(B)
|
998,182 | 994cd8fbb4dbdb67ff6a6e4223e5018bcf5a64f1 | """
预处理部分1：
利用清华语料库，处理10类的新闻数据
从清华数据源文件中提取需要的5万数据
"""
import os
import shutil
class_list = {'财经': 'Economics', '房产': 'House', '社会': 'Society', '时尚': 'Fashion', '教育': 'Education',
'科技': 'Technology', '时政': 'Politics', '体育': 'PE', '游戏': 'Game', '娱乐': 'Entertainment'}
for class_name, class_name_en in class... |
998,183 | e3ed13673c44664007218104d153448ccccef9cf | #!/usr/bin/python3
import requests
username = "natas25"
password = "GHF6X7YwACaYYssHVY05cFq83hRktl4c"
url = 'http://'+username+'.natas.labs.overthewire.org/'
info = 'http://'+username+'.natas.labs.overthewire.org/var/www/natas/natas25/logs/natas25_'
session = requests.session()
data = {'lang' : '../etc/natas_webpass... |
998,184 | 80caafddd1f27cb6cff631a9e7f44c65989b8410 | # Introduction: How H1st.AI enables the Industrial AI Revolution
This tutorial will teach you how H1st AI can help solve the Cold Start problem in domains where labeled data is not available or prohibitively expensive to obtain.
One example of such a domain is cybersecurity, which is increasingly looking forward to a... |
998,185 | 36182f4eefe3a27364f75bf1b251f8a8584224ae | '''
Doubly linked list (ADT).
'''
class DoublyLinkedList(object):
class Node(object):
'''
Data input (referrenced as the node below) can be of any format (or within
any other data type.)
'''
def __init__(self, data = None, prev = None, next = None):
self.data = data
self.prev = prev
self.next = nex... |
998,186 | c04d587ec5b211eabcc7a217a5b49e9a023ef501 | from numpy import mean
from numpy import std
import numpy as np
import pandas as pd
import sklearn
import math
import os
from sklearn.metrics import log_loss, accuracy_score, classification_report
from sklearn.metrics import matthews_corrcoef, make_scorer, roc_auc_score, roc_curve
from sklearn.model_selection ... |
998,187 | 80063c3bb4646b380579899f24b1649d13f8f374 | print("Hello World!\n Just testing the work folder and commands to run via terminal") |
998,188 | 471d141d97d5a5d70da45429f0ab2ca0b89f28ff | """
68. Ward法によるクラスタリングPermalink
国名に関する単語ベクトルに対し，Ward法による階層型クラスタリングを実行せよ．
さらに，クラスタリング結果をデンドログラムとして可視化せよ．
"""
from scipy.cluster.hierarchy import linkage, dendrogram
from knock67 import make_dataframe, collect_countries
import matplotlib.pyplot as plt
import pandas as pd
if __name__ == "__main__":
dataframe = make... |
998,189 | e0998c54df03880afb47af50013bf18be820cece | """Inject a given image into the SinGAN. This can be used for Super-Resolution, Paint-to-Image, Harmonization and Editiing."""
import torch
from src.singan import SinGAN
import argparse
from datetime import datetime
from skimage import io
import numpy as np
from src.image import load_img
from skimage.color import lab2r... |
998,190 | a654dd5d13eaeeb2b96edce9c1c896f240b599af | import pygame as pyg
from fileslibparcial.libreria import *
if __name__ == "__main__":
pyg.init()
pantalla = pyg.display.set_mode([ANCHO,ALTO])
changeCentroPlano(200, 300)
# Cuadrado
cuadrado = [[100,100], [-100,100], [-100,-100], [100, -100]]
# Linea separadora
linea = [[210, 110], [210... |
998,191 | c421c7a1c8a5d97eca8ca38bf04c44fb0c24eba7 | #!/usr/bin/env python
# encoding: utf-8
'''
@author: kdb
@file: urls.py
@time: 2018/7/15 0015 下午 8:47
'''
from django.conf.urls import url
from users.views import register,UserUpdateView
app_name = 'users'
urlpatterns = [
url(r'^register/',register,name='register'),
url(r'^user_update/(?P<pk>\d+)/$',UserUpda... |
998,192 | d34e04e749d535bee499c446419819858a05cb55 | from string import ascii_lowercase, ascii_uppercase
LENGTH = len(ascii_lowercase)
def rotate(text, rot):
"""
Implementation of the rotational cipher, also sometimes called the Caesar cipher.
:param text: Text to encode
:param rot: How many places to rotate. 13 means rotate by 13 places.
:return: ... |
998,193 | b4aa9f367639087855e9ad64585720487ca83d63 | import re
from threading import Thread
from os.path import getsize
from time import sleep
tfname = './x2.txt'
sfname = './x2_completed.txt'
sfname2 = './x2_error.txt'
re_control_char = re.compile('[\x00-\x09|\x0b-\x0c|\x0e-\x1f]')
re_email = re.compile(r'\w+([-+.]\w+)*@\w+([-.]\w+)*\.\w+([-.]\w+)*')
completed = Fals... |
998,194 | 8636d9ebd02335f9d333663d8a6c564d4f156afe |
import pandas as pd
import joblib
from fastapi import FastAPI
app = FastAPI()
# define a root `/` endpoint
@app.get("/")
def index():
return {"ok": True}
# Implement a /predict endpoint
@app.get("/predict/")
def create(acousticness,
danceability,
duration_ms,
energy,
exp... |
998,195 | b76282137c0f2e95c99ab2fabe491e72db487024 | import pprint
from django.conf import settings
from django.core.management.base import BaseCommand
import requests
class Command(BaseCommand):
def handle(self, *args, **options):
item_id = 171266044
url = settings.FLYER['item_url'].format(item_id)
response = requests.get(url)
dat... |
998,196 | c54a19bc49f9996e6bf9d26b495f877b213b27d4 | import requests
import os, csv, time
url = 'http://stats.moe.gov.tw/files/detail/{0}/{0}_student.csv'
for year in range(103, 109):
csvdata = requests.get(url.format(year)).text
rows = csvdata.split('\n')
data = list()
columns = rows[0].split(',')
for row in rows[1:]:
try:
row = r... |
998,197 | 64fbeff8cce0f3b890e14ef82cae3fcc715676c3 | # coding: utf-8
import psycopg2
DBNAME = "kumo"
DEFAULT_LIMIT = 100
def is_station_id(station_id):
cnx = psycopg2.connect("dbname={}".format(DBNAME))
with cnx.cursor() as cur:
cur.execute("SELECT last_value FROM stations_id_seq;")
last_value = cur.fetchone()[0]
return station_id <= last... |
998,198 | 8e708c2da757183ff4be0866e09a73cad85b3cad | from tensorflow.keras.models import load_model
if __name__ == '__main__':
# Load the data
# ...
# Preprocessing
# ...
# Load the trained models
#for example
model_task1 = load_model('./nn_task1.h5')
# Predict on the given samples
#for example
y_pred_task1 = model_task1.... |
998,199 | 120804177bd3e537a5a8ed11c9eb9ded8d07731d | class first():
def method(self):
print('method of first class')
class second():
def method(self):
print('method of second class')
obj=first()
obj.method()
obj=second()
obj.method()
|
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