code stringlengths 13 1.2M | order_type stringclasses 1
value | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
from plprofiler_tool import main
from plprofiler import plprofiler
| normal | {
"blob_id": "6b616f5ee0a301b76ad3f7284b47f225a694d33c",
"index": 1281,
"step-1": "<mask token>\n",
"step-2": "from plprofiler_tool import main\nfrom plprofiler import plprofiler\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
# Generated by Django 3.0.8 on 2020-07-29 18:30
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('scenario', '0005_auto_20200729_1149'),
]
operations = [
migrations.RemoveField(
model_name='weapon',
name='vehicle',
... | normal | {
"blob_id": "b99093fb13c59d4b9bb0a4f32fb62423d6752118",
"index": 6480,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('scenario', ... | [
0,
1,
2,
3,
4
] |
#!c:\Python\python.exe
# Fig 35.16: fig35_16.py
# Program to display CGI environment variables
import os
import cgi
print "Content-type: text/html"
print
print """<!DOCTYPE html PUBLIC
"-//W3C//DTD XHTML 1.0 Transitional//EN"
"DTD/xhtml1-transitional.dtd">"""
print """
<html xmlns = "http://www... | normal | {
"blob_id": "61b28088e4344d8a94006e5c04c189a44bbb6ff3",
"index": 3334,
"step-1": "#!c:\\Python\\python.exe\r\n# Fig 35.16: fig35_16.py\r\n# Program to display CGI environment variables\r\n\r\nimport os\r\nimport cgi\r\n\r\nprint \"Content-type: text/html\"\r\nprint\r\n\r\nprint \"\"\"<!DOCTYPE html PUBLIC\r\n ... | [
0
] |
#!/usr1/local/bin/python
import os, sys, re, shutil, random
from tempfile import *
# program location
prog_dir = '/home/jpei/test_promals3d_package/bar/promals_package/bin/'
# program names
promals_web = prog_dir + "progress_for_web.py"
csv_cutoff_g = 5
alphabet = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUV... | normal | {
"blob_id": "b9386cf8c17b28fd1fea6e587ca4401de247cbea",
"index": 7779,
"step-1": "#!/usr1/local/bin/python\n\nimport os, sys, re, shutil, random\nfrom tempfile import *\n\n\n# program location\nprog_dir = '/home/jpei/test_promals3d_package/bar/promals_package/bin/'\n\n# program names\npromals_web = prog_dir + \"... | [
0
] |
#!/usr/bin/env python
# coding: utf-8
from sklearn.metrics import confusion_matrix
import numpy as np
import pandas as pd
df = pd.read_csv('orb.csv')
d = pd.pivot_table(df,index='col1',columns='col2',values='result')
d.fillna(0,inplace=True)
| normal | {
"blob_id": "ce65a672cae26bdb8ec8cb04eabfe1877f9cd7d4",
"index": 9558,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nd.fillna(0, inplace=True)\n",
"step-3": "<mask token>\ndf = pd.read_csv('orb.csv')\nd = pd.pivot_table(df, index='col1', columns='col2', values='result')\nd.fillna(0, inplace=True)\n",
... | [
0,
1,
2,
3,
4
] |
import numpy as np
import cv2
import time
cap = cv2.VideoCapture(0)
ret, frame = cap.read()
average_stack = np.float32(np.copy(frame))/255
frames = 1.0
while(True):
# Capture frame-by-frame
ret, frame = cap.read()
frame = np.float32(frame)/255
average_stack = average_stack * frames + frame
frames... | normal | {
"blob_id": "7fd89272d3d3584f35fd8f552cb7b14e57b7ed1b",
"index": 1591,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile True:\n ret, frame = cap.read()\n frame = np.float32(frame) / 255\n average_stack = average_stack * frames + frame\n frames += 1.0\n average_stack = average_stack / f... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python3
import pandas as pd
import csv
def get_apriori_input(input_file,output_file,sample_col="Sample",gene_id_col="Gene_ID"):
df=pd.read_csv(input_file,sep="\t")
sample_names=df[sample_col].unique()
with open(output_file,"w") as out:
csv_writer=csv.writer(out,delimiter="\t")
... | normal | {
"blob_id": "e14bea6376c8649bf9c9c5759d530af773664cd4",
"index": 891,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef get_apriori_input(input_file, output_file, sample_col='Sample',\n gene_id_col='Gene_ID'):\n df = pd.read_csv(input_file, sep='\\t')\n sample_names = df[sample_col].unique(... | [
0,
1,
2,
3,
4
] |
#a list of functions/Classes to be inported when a user imports * from swarmpose
__all__ = ['Swarmpose'] | normal | {
"blob_id": "e375501e6b815530e61af9181d4cade83d4588ca",
"index": 8762,
"step-1": "<mask token>\n",
"step-2": "__all__ = ['Swarmpose']\n",
"step-3": "#a list of functions/Classes to be inported when a user imports * from swarmpose\n__all__ = ['Swarmpose']",
"step-4": null,
"step-5": null,
"step-ids": [
... | [
0,
1,
2
] |
import json
# No llego a solucionarlo entero.
#Aparcamientos que estan cubiertos en el centro de deportes .
from pprint import pprint
with open('Aparcamientos.json') as data_file:
data = json.load(data_file)
for x in data['docs']:
if x['TIPOLOGIA'] == 'Cubierto':
print(x['NOMBRE'])
elif x['TIPOLOGIA'] == '... | normal | {
"blob_id": "d111f93144a1d2790470365d0ca31bcea17713d7",
"index": 8766,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('Aparcamientos.json') as data_file:\n data = json.load(data_file)\nfor x in data['docs']:\n if x['TIPOLOGIA'] == 'Cubierto':\n print(x['NOMBRE'])\n elif x['TIPOL... | [
0,
1,
2,
3
] |
import streamlit as st
from streamlit.components.v1 import components
from streamlit.report_thread import get_report_ctx
from util.session import *
from multipage import MultiPage
from pages import register
def app(page):
if not login_status():
title_container = st.empty()
remail_input_container = ... | normal | {
"blob_id": "41cfd558824b6561114a48a694b1e6e6a7cb8c05",
"index": 7,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef app(page):\n if not login_status():\n title_container = st.empty()\n remail_input_container = st.empty()\n rpw_input_container = st.empty()\n rregister... | [
0,
1,
2,
3
] |
__author__ = 'Jager'
from equipment import Equipment
class Weapon (Equipment):
def __init__(self, name, power):
super(Weapon, self).__init__(name)
self.power = power
@staticmethod
def fromJSON(jsonstr):
obj = Equipment.fromJSON(jsonstr)
return Weapon(obj["name"], obj["powe... | normal | {
"blob_id": "276d7ac493ddcb327dbce279d9f4bc8a74c98245",
"index": 5749,
"step-1": "<mask token>\n\n\nclass Weapon(Equipment):\n\n def __init__(self, name, power):\n super(Weapon, self).__init__(name)\n self.power = power\n <mask token>\n\n def __str__(self):\n return '{}: Power({})'.... | [
3,
4,
5,
6,
7
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys,os,traceback
from PIL import Image
class ResizeImageBuilder:
def __init__(self):
# print(self.__class__)
pass
def setOriginImagePath(self, filePath):
try:
img = Image.open(filePath)
# img = img.convert('R... | normal | {
"blob_id": "47119f46cdbbb7306aef8237d4f56f0f10690ae4",
"index": 9245,
"step-1": "<mask token>\n\n\nclass ResizeImageBuilder:\n\n def __init__(self):\n pass\n\n def setOriginImagePath(self, filePath):\n try:\n img = Image.open(filePath)\n print('origin image mode:', img.... | [
5,
6,
8,
9,
10
] |
from string import Template
import os
#-----template objects-----
#for putting a template inside an ifdef guard
TIfGuard = Template("""if(${condition})
${innerbody}
endif()\n""")
#For minimum cmake version and project name
TProjectSettings = Template("""cmake_minimum_required (VERSION ${MinCmakeVer})
project(${Name}... | normal | {
"blob_id": "8cba57e3552e0072720fe42fa1949534f29d71b5",
"index": 1562,
"step-1": "<mask token>\n\n\ndef WriteToFile(f, output, condition=False, conditionID=''):\n f.write(output if not condition else WrapInGuard(conditionID, output))\n\n\n<mask token>\n\n\ndef WrapInGuard(condition, innerbody):\n return TI... | [
8,
12,
15,
16,
18
] |
from django.shortcuts import render
from django.http import HttpResponse, HttpResponseRedirect
from interface_app.models import TestTask, TestCase
from interface_app.extend.task_run import run_cases
import os
import json
from interface_app.apps import TASK_PATH, RUN_TASK_FILE
"""
说明：接口任务文件，返回HTML页面
"""
# 获取任务列表
def... | normal | {
"blob_id": "8be70543a7aa177d9ad48fb736228b1ffba5df16",
"index": 6179,
"step-1": "<mask token>\n\n\ndef run_task(request, tid):\n if request.method == 'GET':\n task_obj = TestTask.objects.get(id=tid)\n cases_list = task_obj.cases.split(',')\n cases_list.pop(-1)\n task_obj.status = ... | [
1,
2,
3,
4,
5
] |
import os
#defaults = {"N":20, "K":3, "POP_SIZE":200, "MUT_RATE":.05, "TOURNAMENT_SIZE":2, "SELECTION":0, "CHANGE_RATE":100000, "MAX_GENS": 5000, "FILTER_LENGTH":50}
defaults = {"N":20, "K":3, "POP_SIZE":200, "MUT_RATE":.05, "TOURNAMENT_SIZE":2, "SELECTION":0, "CHANGE_RATE":100000, "MAX_GENS": 5000, "FILTER_LENGTH":"... | normal | {
"blob_id": "a826f33361ec59824f3c4a83d01e94c6b307b0a9",
"index": 9144,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor condition in conditions:\n print(condition)\n command = ['./nk_oee -MODES_RESOLUTION 10 -SEED', seed]\n dir_name = []\n for var in defaults:\n if var not in conditi... | [
0,
1,
2,
3,
4
] |
a = 1
b = a
print(a)
print(b)
a = 2
print(a)
print(b)
# 全部大写字符代表常量
USER_NAME = "常量"
print(USER_NAME)
print(USER_NAME) | normal | {
"blob_id": "1cc9a7bbe1bda06ce76fa8ec1cdc17c7b2fde73b",
"index": 4051,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(a)\nprint(b)\n<mask token>\nprint(a)\nprint(b)\n<mask token>\nprint(USER_NAME)\nprint(USER_NAME)\n",
"step-3": "a = 1\nb = a\nprint(a)\nprint(b)\na = 2\nprint(a)\nprint(b)\nUSER_N... | [
0,
1,
2,
3
] |
import pickle
import select
import socket
import sys
from threading import Thread
from typing import Dict, Tuple
import pygame
from pygame.locals import *
import c
from models import *
class Game:
location: list[int, int] = [c.WIDTH / 2, c.HEIGHT / 2]
velocity: list[int, int] = [0, 0]
current_player: Pl... | normal | {
"blob_id": "418798369578e80ecbf82da802b23dc6ca922569",
"index": 7107,
"step-1": "<mask token>\n\n\nclass Game:\n location: list[int, int] = [c.WIDTH / 2, c.HEIGHT / 2]\n velocity: list[int, int] = [0, 0]\n current_player: Player = None\n other_players: Dict[str, Tuple[Player, Tuple[int, int]]] = {}\... | [
10,
11,
12,
14,
15
] |
# vim:sw=4 ts=4 et:
# Copyright (c) 2015 Torchbox Ltd.
# tomasz.knapik@torchbox.com 2017-12-07
#
# Permission is granted to anyone to use this software for any purpose,
# including commercial applications, and to alter it and redistribute it
# freely. This software is provided 'as-is', without any express or implied
# ... | normal | {
"blob_id": "6f271e6cfb03977d52c50562c3c394b962c9af83",
"index": 7538,
"step-1": "<mask token>\n\n\nclass MarkdownBlock(TextBlock):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass MarkdownBlock(TextBlock):\n\n def __init__(self, required=True, help_text=None, **kwargs):\n s... | [
1,
3,
4,
5,
6
] |
from Adafruit_LSM9DS0 import Adafruit_LSM9DS0
import math
imu = Adafruit_LSM9DS0()
pi = 3.14159265358979323846 # Written here to increase performance/ speed
r2d = 57.2957795 # 1 radian in degrees
loop = 0.05 #
tuning = 0.98 # Constant for tuning Complimentary filter
# Converting accelerometer readings to degrees
ax ... | normal | {
"blob_id": "973a58013160cbc71ca46f570bde61eaff87f6a7",
"index": 7489,
"step-1": "from Adafruit_LSM9DS0 import Adafruit_LSM9DS0\nimport math\n\nimu = Adafruit_LSM9DS0()\n\npi = 3.14159265358979323846 # Written here to increase performance/ speed\nr2d = 57.2957795 # 1 radian in degrees\nloop = 0.05 #\ntuning = 0.... | [
0
] |
#!/usr/bin/env python
# Copyright 2013 The Flutter Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import argparse
import subprocess
import sys
import os
def main():
parser = argparse.ArgumentParser(
description='Create the s... | normal | {
"blob_id": "d5c6582547df540ffc9c73d10a3405ec97487bba",
"index": 4513,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n parser = argparse.ArgumentParser(description=\n 'Create the symbol specifying the location of test fixtures.')\n parser.add_argument('--fixtures_location_fi... | [
0,
1,
2,
3,
4
] |
from django.http import HttpResponse
from django.shortcuts import render_to_response
from django.template import Context
from books.models import book,Author
def index(request):
book_list=book.objects.all()
c=Context({"book_list":book_list})
return render_to_response("index.html",c)
| normal | {
"blob_id": "441d224c37e0eae531c17db0e903b3344c570516",
"index": 9867,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef index(request):\n book_list = book.objects.all()\n c = Context({'book_list': book_list})\n return render_to_response('index.html', c)\n",
"step-3": "from django.http im... | [
0,
1,
2,
3
] |
# pylint: disable=W0621,C0114,C0116,W0212,W0613
import io
import textwrap
from typing import cast, Any, Dict
import toml
import pytest
from dae.testing import convert_to_tab_separated
from dae.configuration.gpf_config_parser import GPFConfigParser
from dae.configuration.schemas.person_sets import person_set_collectio... | normal | {
"blob_id": "6c8f690e1b43d459535238e24cccc8aa118e2d57",
"index": 3038,
"step-1": "<mask token>\n\n\n@pytest.fixture\ndef families_fixture():\n ped_content = io.StringIO(convert_to_tab_separated(\n \"\"\"\n familyId personId dadId\t momId\tsex status role\n f1 mom1 0 ... | [
7,
8,
10,
11,
13
] |
from sqlalchemy import (Column, Integer, Float, String, ForeignKey)
from sqlalchemy.dialects.postgresql import UUID
from sqlalchemy.orm import relationship
from .meta import Base, BaseModel
class Stock(Base, BaseModel):
__tablename__ = 'stock'
name = Column(String(255), nullable=False)
starting_price = ... | normal | {
"blob_id": "7251d32918b16166e9b7c9613726e6dc51d6fea4",
"index": 3834,
"step-1": "<mask token>\n\n\nclass StockType(Base, BaseModel):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __json__(self, _):\n return {'id': self.id, 'name': self.name}\n",
"s... | [
2,
3,
5,
6,
8
] |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
__author__ = 'ghou'
from datetime import datetime
bGameValid = True
dAskUserInfo = {}
gAccMode = 0
#============UserSyncResource2.py===================
#============前端资源热更白名单测试功能================
#============去读配置表config.xml==================
#============大于配置标号的热更内容只有... | normal | {
"blob_id": "2e075c3ee6b245b1ffd0bb8c4e205199f794da76",
"index": 5725,
"step-1": "<mask token>\n",
"step-2": "__author__ = 'ghou'\n<mask token>\nbGameValid = True\ndAskUserInfo = {}\ngAccMode = 0\ngWhiteTestResourceVersion = None\ngInvalidClientVersion = None\n",
"step-3": "__author__ = 'ghou'\nfrom datetime... | [
0,
1,
2,
3
] |
from pyplasm import *
import random as r
def gen_windows(plan_grid, n, m, window_model):
return STRUCT([
T([1,2])([j,i])(
gen_cube_windows(plan_grid, window_model)(i, j, n, m))
for i in range(n)
for j in range(m)
if plan_grid[i][j]])
def gen_cube_windows(plan_grid, wi... | normal | {
"blob_id": "cb48a1601798f72f9cf3759d3c13969bc824a0f6",
"index": 707,
"step-1": "<mask token>\n\n\ndef gen_windows(plan_grid, n, m, window_model):\n return STRUCT([T([1, 2])([j, i])(gen_cube_windows(plan_grid,\n window_model)(i, j, n, m)) for i in range(n) for j in range(m) if\n plan_grid[i][j]]... | [
5,
7,
8,
9,
11
] |
data_dir = "../data"
output_dir = './'
valid_id = dict()
for category in ("beauty", "fashion", "mobile"):
with open("%s/%s_data_info_val_competition.csv" % (data_dir, category), "r") as infile:
next(infile)
for line in infile:
curr_id = line.strip().split(',')[0]
valid_id[cu... | normal | {
"blob_id": "82556291c456b9e43e4e589ea4a77d320430344b",
"index": 7478,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor category in ('beauty', 'fashion', 'mobile'):\n with open('%s/%s_data_info_val_competition.csv' % (data_dir, category), 'r'\n ) as infile:\n next(infile)\n for ... | [
0,
1,
2,
3
] |
import sys
from bs4 import BeautifulSoup
def get_classes(html):
"""
returns a list of classes and titles, parsing through 'html'
"""
# elements = html.find_all("span", "code")
# titles = html.find_all("span", "title")
# classes = []
# for i in range(len(elements)):
# item = element... | normal | {
"blob_id": "9bb8e0f732eac474dbc01c374f9c74178f65dc36",
"index": 3063,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef get_classes(html):\n \"\"\"\n returns a list of classes and titles, parsing through 'html'\n \"\"\"\n",
"step-3": "import sys\nfrom bs4 import BeautifulSoup\n\n\ndef ge... | [
0,
1,
2,
3
] |
def randomizer(n, garrafa_vidro, lata_metal, copo_plastico, bola_papel,
maça_organico):
lixos = [garrafa_vidro, lata_metal, copo_plastico, bola_papel,
maça_organico]
return lixos[n]
| normal | {
"blob_id": "71a9c9b8f47dcfbecc154c44d5a72ddbd852145a",
"index": 328,
"step-1": "<mask token>\n",
"step-2": "def randomizer(n, garrafa_vidro, lata_metal, copo_plastico, bola_papel,\n maça_organico):\n lixos = [garrafa_vidro, lata_metal, copo_plastico, bola_papel,\n maça_organico]\n return lixos... | [
0,
1
] |
from arcade.sprite_list.sprite_list import SpriteList
import GamePiece as gp
from Errors import *
class GameConfig:
WINDOW_TITLE = "MyPyTris"
SCREEN_WIDTH = 450
SCREEN_HEIGHT = 900
BLOCK_PX = 45 # 45px blocks on screen
SPRITE_PX = 64 # 64px sprite
BLOCK_SCALE = BLOCK_PX/SPRITE_PX # sprite scal... | normal | {
"blob_id": "2d7431996bc8d1099c08fddc815b4706deb4f023",
"index": 4393,
"step-1": "<mask token>\n\n\nclass GameBoard:\n <mask token>\n <mask token>\n\n def draw(self):\n self.playerSprites.draw()\n self.groundSprites.draw()\n <mask token>\n <mask token>\n\n def moveGamePiece(self, ... | [
7,
12,
13,
17,
18
] |
import numpy as np
import tensorflow as tf
import math
from .. import util
def debug_inference(inference, dummy, entropy, cross_entropy, expected_log_likelhood):
dummy = tf.Print(dummy, [entropy], 'entropy: ')
dummy = tf.Print(dummy, [cross_entropy], 'cross_entropy: ')
dummy = tf.Print(dummy, [expected_log... | normal | {
"blob_id": "4758d6efde21e3b5d91f107188f24b6ddf7cbbe4",
"index": 7935,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef debug_inference(inference, dummy, entropy, cross_entropy,\n expected_log_likelhood):\n dummy = tf.Print(dummy, [entropy], 'entropy: ')\n dummy = tf.Print(dummy, [cross_en... | [
0,
1,
2,
3,
4
] |
#########################################################
# Author: Todd A. Reisel
# Date: 2/24/2003
# Class: StaticTemplateList
#########################################################
from BaseClasses.TemplateList import *;
class StaticTemplateList(TemplateList):
def __init__(self, viewMode = None):
Te... | normal | {
"blob_id": "7de3c0ab2e7c8ac00d37f1dfb5948027cfa7806c",
"index": 5084,
"step-1": "<mask token>\n\n\nclass StaticTemplateList(TemplateList):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass StaticTemplateList(TemplateList):\n\n def __init__(self, viewMode=None):\n ... | [
1,
3,
4,
5,
6
] |
# 데이터 출처: kaggle
# 데이터 개요: 511, 유리를 위한 다양한 속성(화학원소)들로부터 type 구별
# 데이터 예측 모델: 이진클래스
# 적용 머신러닝 모델: 깊은 다층 퍼셉트론 신경망
# 훈련 데이터셋: 160건
# 검증 데이터셋: 건
# 시험 데이터셋: 수집데이터로서 시험셋을 확보할 수 없으므로 고려하지 않음
# 입력 데이터: 10개 항목의 데이터
# 은닉층: 2개
# 사용한 활성화 함수
# - 제1 은닉층: Relu
# - 제2 은닉층: Relu
# - Output Layer: Softmax
# 사용한 손실함수: categorical_cros... | normal | {
"blob_id": "bfa5739949c26758e3762fcff8347d23ad70f704",
"index": 6114,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nnp.random.seed(5)\n<mask token>\nmodel.add(Dense(64, input_dim=input_data_number, activation='relu'))\nmodel.add(Dense(64, activation='relu'))\nmodel.add(Dense(7, activation='softmax'))\n... | [
0,
1,
2,
3,
4
] |
plik=open("nowy_zad_84.txt", "w")
print(" Podaj 5 imion")
for i in range(1,6):
imie=input(f" Podaj imie nr {i} ")
# plik.write(imie)
# plik.write("\n")
plik.write(f" {imie} \n")
plik.close()
plik=open("nowy_zad_84.txt", "a")
for i in range(1,101):
plik.write(str(i))
plik.w... | normal | {
"blob_id": "0ac99e2b33f676a99674c9a8e5d9d47c5bce084b",
"index": 5820,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(' Podaj 5 imion')\nfor i in range(1, 6):\n imie = input(f' Podaj imie nr {i} ')\n plik.write(f' {imie} \\n')\nplik.close()\n<mask token>\nfor i in range(1, 101):\n plik.wri... | [
0,
1,
2,
3
] |
import os
import hashlib
import argparse
def hashfile(path, blocksize=65536):
afile = open(path, 'rb')
hasher = hashlib.md5()
buf = afile.read(blocksize)
while len(buf) > 0:
hasher.update(buf)
buf = afile.read(blocksize)
afile.close()
return hasher.hexdigest()
def make_duplic... | normal | {
"blob_id": "e99c158e54fd86b00e4e045e7fb28d961089800d",
"index": 3289,
"step-1": "<mask token>\n\n\ndef hashfile(path, blocksize=65536):\n afile = open(path, 'rb')\n hasher = hashlib.md5()\n buf = afile.read(blocksize)\n while len(buf) > 0:\n hasher.update(buf)\n buf = afile.read(blocks... | [
1,
2,
3,
4,
5
] |
'''
文件读写的步骤
1.打开文件
2.处理数据
3.关闭文件
1.open函数：
fileobj = open(filename, mode)
fileobj是open()函数返回的文件对象
mode第一个字母指明文件类型和操作的字符串，第二个字母是文件类型：
t(可省略)文本类型，b二进制类型。
文件打开模式：r只读(默认)，w覆盖写(不存在则新创建)
a追加模式(不存在则创建)
2.read(size):从文件读取长度为size的字符串，若未给定或为负则读取所有内容
3.readline():读取整行返回字符串
4.readline... | normal | {
"blob_id": "25f3c9f48b779d2aec260d529529156ff3c508ca",
"index": 7719,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor line in fileobj3.readlines():\n print(line)\nfileobj3.close()\n",
"step-3": "<mask token>\nfileobj3 = open('lines.txt', 'r')\nfor line in fileobj3.readlines():\n print(line)\n... | [
0,
1,
2,
3
] |
from scrapy import cmdline
cmdline.execute("scrapy crawl rapo.com".split())
| normal | {
"blob_id": "326f1b5bee8f488382a76fcc5559f4ea13734f21",
"index": 6551,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ncmdline.execute('scrapy crawl rapo.com'.split())\n",
"step-3": "from scrapy import cmdline\ncmdline.execute('scrapy crawl rapo.com'.split())\n",
"step-4": "from scrapy import cmdline\... | [
0,
1,
2,
3
] |
from django.conf import settings
from django.http import HttpResponse, HttpResponseBadRequest, HttpResponseForbidden
from django.views.decorators.csrf import csrf_exempt
from linebot import LineBotApi, WebhookParser
from linebot.exceptions import InvalidSignatureError, LineBotApiError
from linebot.models import ... | normal | {
"blob_id": "19f202c32e1cf9f7ab2663827f1f98080f70b83e",
"index": 8313,
"step-1": "<mask token>\n\n\n@csrf_exempt\ndef callback(request):\n if request.method == 'POST':\n signature = request.META['HTTP_X_LINE_SIGNATURE']\n body = request.body.decode('utf-8')\n try:\n events = pa... | [
1,
2,
3,
4,
5
] |
# -*- encoding:ascii -*-
from mako import runtime, filters, cache
UNDEFINED = runtime.UNDEFINED
__M_dict_builtin = dict
__M_locals_builtin = locals
_magic_number = 6
_modified_time = 1383550959.0389481
_template_filename='templates/webapps/tool_shed/repository/browse_repository.mako'
_template_uri='/webapps/tool_shed/r... | normal | {
"blob_id": "fd54bbfbc81aec371ad6c82bf402a5a3673a9f24",
"index": 8892,
"step-1": "<mask token>\n\n\ndef _mako_generate_namespaces(context):\n ns = runtime.TemplateNamespace('__anon_0x88e2e50', context.\n _clean_inheritance_tokens(), templateuri=u'/message.mako',\n callables=None, calling_uri=_te... | [
3,
5,
7,
9,
10
] |
#-*- coding: utf-8 -*-
from django.db import models
from authentication.models import Account
class QuestionFaq(models.Model):
title = models.CharField(max_length=50, verbose_name=u'Тема вопроса')
question = models.TextField(verbose_name=u'Задайте вопрос')
date = models.DateField(auto_now_add=True)
ch... | normal | {
"blob_id": "b00c9f099fcb31262df947f47d7190912ee66965",
"index": 6159,
"step-1": "<mask token>\n\n\nclass AnswerFaq(models.Model):\n account = models.ForeignKey(Account)\n answer = models.TextField(verbose_name=u'Ответ на вопрос в FAQ')\n question = models.ForeignKey(QuestionFaq)\n date = models.Date... | [
3,
4,
6,
7,
8
] |
# coding=utf-8
# http://rate.tmall.com/list_detail_rate.htm?itemId=41464129793&sellerId=1652490016¤tPage=1
import requests, re
from Tkinter import *
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import random
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['SimHei'] ... | normal | {
"blob_id": "123d3906ce040a4daa5309eae555bad5509f805e",
"index": 671,
"step-1": "# coding=utf-8\n# http://rate.tmall.com/list_detail_rate.htm?itemId=41464129793&sellerId=1652490016¤tPage=1\nimport requests, re\nfrom Tkinter import *\nimport numpy as np\nimport matplotlib as mpl\nimport matplotlib.pyplot as... | [
0
] |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import copy
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _ut... | normal | {
"blob_id": "2332783c96b24caa383bf47d82384e1c40a48e94",
"index": 8566,
"step-1": "<mask token>\n\n\n@pulumi.input_type\nclass DashboardArgs:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask... | [
14,
21,
22,
23,
28
] |
def tobin(n):
bin = "";
while(n/2!=0):
if n%2==0:
bin = bin + "0"
else:
bin = bin + "1"
if n%2==1:
bin = bin + "1"
return bin
n = int(input())
bin = tobin(5)
print(bin)
| normal | {
"blob_id": "1c5ca920fe1f116a5bc52c9e5c53c13b1e1c925f",
"index": 2412,
"step-1": "<mask token>\n",
"step-2": "def tobin(n):\n bin = ''\n while n / 2 != 0:\n if n % 2 == 0:\n bin = bin + '0'\n else:\n bin = bin + '1'\n if n % 2 == 1:\n bin = bin + '1'\n ret... | [
0,
1,
2,
3,
4
] |
# cook your dish here
t=int(input())
while t:
n=int(input())
a=list(map(int,input().split()))
a.sort(reverse=True)
s=0
for i in range(n):
k=a[i]-i
if k>=0:
s+=k
print(s%1000000007)
t-=1
| normal | {
"blob_id": "44bf409d627a6029ab4c4f1fff99f102b8d57279",
"index": 3954,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile t:\n n = int(input())\n a = list(map(int, input().split()))\n a.sort(reverse=True)\n s = 0\n for i in range(n):\n k = a[i] - i\n if k >= 0:\n ... | [
0,
1,
2,
3
] |
import mysql.connector
from mysql.connector import errorcode
DB_NAME = 'PieDB'
TABLES = {}
# TABLES['pietweets'] = (
# "CREATE TABLE `pietweets` ("
# " `id` int NOT NULL AUTO_INCREMENT,"
# " `tweet_id` bigint NOT NULL,"
# " `username` varchar(32) NOT NULL,"
# " `geo_lat` float(53) NOT NULL,"
# " `geo_lon... | normal | {
"blob_id": "38abc4bc99f3b15b416c77481818464a6c7f11ef",
"index": 3844,
"step-1": "<mask token>\n\n\ndef create_database(cursor):\n try:\n cursor.execute(\"CREATE DATABASE {} DEFAULT CHARACTER SET 'utf8'\".\n format(DB_NAME))\n except mysql.connector.Error as err:\n print('Failed cr... | [
1,
2,
3,
4,
5
] |
import tkinter as tk
import random
root = tk.Tk()
main_frame = tk.Frame(root)
var = tk.StringVar()
ch = [ "hello world" , "HI Pyton", "Mar Java", "Mit Java", "Lut Java" ]
var.set("Hello world I am a Label")
label = tk.Label(main_frame,textvariable=var,
bg="black",fg="white",font=("Times New Roman",24,"bold"))
... | normal | {
"blob_id": "33938a28aad29e996255827825a0cdb1db6b70b7",
"index": 5842,
"step-1": "<mask token>\n\n\ndef change_label():\n var.set(random.choice(ch))\n\n\n<mask token>\n\n\ndef slove():\n expr.set(eval(expr.get()))\n\n\n<mask token>\n\n\ndef clear():\n expr.set('')\n\n\n<mask token>\n",
"step-2": "<mas... | [
3,
4,
5,
6,
7
] |
################################################################################
# #
# This file is part of the Potato Engine (PE). #
# ... | normal | {
"blob_id": "595912753d778a0fa8332f0df00e06a9da5cde93",
"index": 447,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nSetOption('num_jobs', 4)\nSetOption('implicit_cache', 1)\n<mask token>\nbuildVariables.Add(PathVariable('QTDIR', 'Qt4 root directory',\n '/usr/share/qt4', PathVariable.PathIsDir))\nbuil... | [
0,
1,
2,
3,
4
] |
import pygame as pg
screen = pg.display.set_mode((640, 380))
| normal | {
"blob_id": "c1374a048187807deac5d28dda4fbc7beeccf8f5",
"index": 5221,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nscreen = pg.display.set_mode((640, 380))\n",
"step-3": "import pygame as pg\nscreen = pg.display.set_mode((640, 380))\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
... | [
0,
1,
2
] |
# -*- coding: utf-8 -*-
"""
===================================
Demo of DBSCAN clustering algorithm
===================================
Finds core samples of high density and expands clusters from them.
"""
import scipy as sp
import numpy as np
from scipy import spatial
print(__doc__)
from sklearn.cluster import D... | normal | {
"blob_id": "d2e3ac490ce5fdc20976567fa320a9e6a53cbe34",
"index": 1037,
"step-1": "<mask token>\n\n\ndef getDistanceByHaversine(loc1, loc2):\n \"\"\"Haversine formula - give coordinates as a 2D numpy array of\n (lat_denter link description hereecimal,lon_decimal) pairs\"\"\"\n lat1 = loc1[1]\n lon1 = ... | [
1,
2,
3,
4,
5
] |
import copy
import datetime
from sacred import Experiment
from tqdm import tqdm
from mms_msg.databases.classical.full_overlap import WSJ2Mix
import paderbox as pb
import padertorch as pt
ex = Experiment('mixture_generator_create_json')
@ex.config
def defaults():
json_path = 'database.json'
database = {
... | normal | {
"blob_id": "f39130099ccf467623d65ac328fd02538044d36a",
"index": 6476,
"step-1": "<mask token>\n\n\n@ex.automain\ndef main(json_path, database, _log):\n database_config = database\n database = pt.configurable.config_to_instance(database)\n database_dict = {'datasets': {dataset_name: dict(tqdm(database.\... | [
1,
2,
3,
4,
5
] |
# -*- coding: utf-8 -*-
import random
import gym
import numpy as np
from collections import deque
from keras.models import Sequential
from keras.layers import Dense
from keras.optimizers import Adam
from simulation_utils import box, simulation
from kinematics import pose3D
a = np.log(2)/25
apdataX = np.random.random(... | normal | {
"blob_id": "7e7e96fb9377e4dc59a46a46951f5057ecae419a",
"index": 201,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(np.linalg.norm(mat))\n",
"step-3": "<mask token>\na = np.log(2) / 25\napdataX = np.random.random((5, 35))\nquarter_way_arr = [False, False, False]\nquarter_way_arr[0] = True\nquart... | [
0,
1,
2,
3,
4
] |
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from database_setup import Base, Country, TouristPlaces, Users
# Create database and create a shortcut for easier to update database
engine = create_engine('sqlite:///country_catalog.db')
Base.metadata.bind = engine
DBSession = sessionmaker(b... | normal | {
"blob_id": "21b9844fce10d16a14050a782ce7e15e3f6fb657",
"index": 5737,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsession.add(user_1)\nsession.commit()\n<mask token>\nsession.add(country_1)\nsession.commit()\n<mask token>\nsession.add(country_2)\nsession.commit()\n<mask token>\nsession.add(country_3)... | [
0,
1,
2,
3,
4
] |
from flask import Flask, request, render_template
from utils import get_result
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index.html')
@app.route("/result", methods=["POST"])
def result():
form_data = request.form
sentence = form_data['sentence']
output = get_result... | normal | {
"blob_id": "264da5a2ab7d5c311d8a59b06c81ea2156cefd76",
"index": 9627,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef index():\n return render_template('index.html')\n\n\n@app.route('/result', methods=['POST'])\ndef result():\n form_data = request.form\n sentence = form_data['sentence']\n output =... | [
2,
3,
4,
5,
6
] |
# -*- coding: utf-8 -*-
'''
* EAFS
* Copyright (C) 2009-2011 Adam Etienne <eadam@lunasys.fr>
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation version 3.
*
* This program is distributed i... | normal | {
"blob_id": "2f5244c6144f5aafce29e5aba32bd7e3fc7ecf5b",
"index": 3632,
"step-1": "# -*- coding: utf-8 -*-\n'''\n * EAFS\n * Copyright (C) 2009-2011 Adam Etienne <eadam@lunasys.fr>\n *\n * This program is free software: you can redistribute it and/or modify\n * it under the terms of the GNU General Public License... | [
0
] |
import numpy as np
import matplotlib.pyplot as plt
from scipy import stats
def fit(x, iters=1000, eps=1e-6):
"""
Fits a 2-parameter Weibull distribution to the given data using maximum-likelihood estimation.
:param x: 1d-ndarray of samples from an (unknown) distribution. Each value must satisfy x ... | normal | {
"blob_id": "b10d3d8d0ded0d2055c1abdaf40a97abd4cb2cb8",
"index": 1631,
"step-1": "<mask token>\n\n\ndef fit(x, iters=1000, eps=1e-06):\n \"\"\"\n Fits a 2-parameter Weibull distribution to the given data using maximum-likelihood estimation.\n :param x: 1d-ndarray of samples from an (unknown) distributio... | [
1,
2,
3,
4,
5
] |
import json
import os
import numpy as np
import pandas as pd
import py4design.py2radiance as py2radiance
import py4design.py3dmodel.calculate as calculate
from py4design import py3dmodel
__author__ = "Jimeno A. Fonseca"
__copyright__ = "Copyright 2017, Architecture and Building Systems - ETH Zurich"
__credits__ = ["J... | normal | {
"blob_id": "164b0afde225119a8fbd4ccfccbbbc3550aa75fe",
"index": 2634,
"step-1": "<mask token>\n\n\ndef create_sensor_input_file(rad, chunk_n):\n sensor_file_path = os.path.join(rad.data_folder_path, 'points_' + str(\n chunk_n) + '.pts')\n sensor_file = open(sensor_file_path, 'w')\n sensor_pts_da... | [
6,
7,
9,
10,
11
] |
#
# @lc app=leetcode.cn id=15 lang=python3
#
# [15] 三数之和
#
# https://leetcode-cn.com/problems/3sum/description/
#
# algorithms
# Medium (25.76%)
# Likes: 1904
# Dislikes: 0
# Total Accepted: 176.6K
# Total Submissions: 679K
# Testcase Example: '[-1,0,1,2,-1,-4]'
#
# 给你一个包含 n 个整数的数组 nums，判断 nums 中是否存在三个元素 a，b，c ，... | normal | {
"blob_id": "ccf3ada9a2bedf29820170f2e8184fc16f1b7aea",
"index": 9580,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n",
"step-3": "class Solution:\n\n def threeSum(self, nums: List[int]) ->List[List[int]]:\n res = []\n nums.sort()\n for k in range(len(nums)... | [
0,
1,
2,
3
] |
import pyaudio
import numpy as np
from collections import OrderedDict
import utils
class MasterPlayer(object):
def __init__(self, volume=1., samplesPerSecond=44100):
self.p = pyaudio.PyAudio()
self.volume = volume
self.samplesPerSecond = samplesPerSecond
self.individual_callbacks =... | normal | {
"blob_id": "c4e4e54ac93c2acdbd3a1cd22b200341a6e45688",
"index": 224,
"step-1": "import pyaudio\nimport numpy as np\nfrom collections import OrderedDict\nimport utils\n\n\nclass MasterPlayer(object):\n def __init__(self, volume=1., samplesPerSecond=44100):\n self.p = pyaudio.PyAudio()\n self.vol... | [
0
] |
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 12 20:29:49 2019
@author: kzx789
"""
from PIL import Image
import os, glob, numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import math
import cv2
import pymysql
import MySQLdb as mysql
"""
#csv를 읽어서 영양정보 출력
def get_Nutrition(str) :
nutrition = pd.r... | normal | {
"blob_id": "1255a9df2fbe11d92991f3f0f7054b92cb017628",
"index": 2941,
"step-1": "<mask token>\n\n\ndef drawing_plt():\n thisImg = os.listdir(caltech_dir)\n row = 4\n cols = int(math.ceil(len(thisImg) / 4))\n fig = plt.figure()\n i = 1\n for image in glob.glob('C:/cnnTest/*.jpg'):\n img ... | [
3,
4,
5,
6,
7
] |
from app import create_app
from app.config import Config
app = create_app(Config)
if __name__ == "__main__":
app.run(host="0.0.0.0", port=5000, debug=True)
| normal | {
"blob_id": "bea90bbcd4d34b64c21f022b6f3af2bee2d978e4",
"index": 1123,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n app.run(host='0.0.0.0', port=5000, debug=True)\n",
"step-3": "<mask token>\napp = create_app(Config)\nif __name__ == '__main__':\n app.run(host='0.0.0... | [
0,
1,
2,
3,
4
] |
from more_itertools import ilen
from my.body import weight, shower, food, water
def test_body() ->None:
for func in (weight, shower, food, water):
assert ilen(func()) >= 1
| normal | {
"blob_id": "e06b740f27e41b9f120c962fd76a38a29d54af3c",
"index": 973,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_body() ->None:\n for func in (weight, shower, food, water):\n assert ilen(func()) >= 1\n",
"step-3": "from more_itertools import ilen\nfrom my.body import weight, ... | [
0,
1,
2
] |
import numpy as np
import random
with open("./roc.txt", "r") as fin:
with open("./roc_shuffle.txt", "w") as fout:
tmp = []
for k, line in enumerate(fin):
i = k + 1
if i % 6 == 0:
idx = [0] + np.random.permutation(range(1,5)).tolist()
for sen i... | normal | {
"blob_id": "2aec0581413d4fb0ffb4090231fde0fed974bf18",
"index": 27,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('./roc.txt', 'r') as fin:\n with open('./roc_shuffle.txt', 'w') as fout:\n tmp = []\n for k, line in enumerate(fin):\n i = k + 1\n if i % 6 ... | [
0,
1,
2,
3
] |
#!/usr/bin/env python3
import asyncio
import bs4
import itertools
import logging
import sys
import os
import zipfile
from asyncio import TimeoutError
from aiohttp import ClientSession, ClientConnectionError
from aiohttp.client_exceptions import ContentTypeError, ServerDisconnectedError
from bs4 import BeautifulSoup
... | normal | {
"blob_id": "002f65fd77ce5043d1a0495ed13c15e3b4d2fb76",
"index": 7244,
"step-1": "<mask token>\n\n\ndef _split_journal_attrs(attrs):\n if attrs:\n return [t.text.replace(':', '').strip().split('\\n') for t in [k for\n k in attrs if isinstance(k, bs4.element.Tag)]]\n return []\n\n\ndef _ge... | [
6,
8,
9,
10,
11
] |
from rest_framework import permissions
class AdminUrlUserPermission(permissions.BasePermission):
def has_permission(self, request, view):
return (request.user.is_authenticated
and (request.user.role == 'admin'
or request.user.is_superuser))
def has_object_permissi... | normal | {
"blob_id": "4549f26cf8051535f9d3486d111fc7afe7514dea",
"index": 5674,
"step-1": "<mask token>\n\n\nclass AdminUrlUserPermission(permissions.BasePermission):\n <mask token>\n <mask token>\n\n\nclass ReadOnly(permissions.BasePermission):\n\n def has_permission(self, request, view):\n return reques... | [
6,
7,
8,
9,
10
] |
import pandas as pd
import matplotlib.pyplot as plt
from netCDF4 import Dataset
from cftime import num2date
import os
import numpy as np
from datetime import datetime, timedelta, date
def plot_temperatures_by_country(values, country, start, end):
"""
Returns a plot for temperature values for a coun... | normal | {
"blob_id": "2b579c3def4c2d02d365f019518e8e0b25664460",
"index": 7436,
"step-1": "<mask token>\n\n\ndef plot_temperatures_by_country(values, country, start, end):\n \"\"\"\n Returns a plot for temperature values for a country\n from a start point to an end point\n \"\"\"\n filtered = values.loc[(v... | [
7,
8,
9,
10,
11
] |
from datapackage_pipelines.wrapper import ingest, spew
params, datapackage, res_iter = ingest()
columns = params['columns']
for resource in datapackage['resources']:
fields = resource.get('schema', {}).get('fields')
if fields is not None:
fields = [field for field in fields if field['name'] not in colum... | normal | {
"blob_id": "17b3fb44d9e7a09fe3b807b47bdc0248b6960634",
"index": 4022,
"step-1": "<mask token>\n\n\ndef process_resources(_res_iter):\n for rows in _res_iter:\n\n def process_rows(_rows):\n for row in _rows:\n for column in columns:\n if column in row:\n ... | [
1,
2,
3,
4
] |
from import_.Import import Import
from classifier.Classifier import Classifier
from export.Export import Export
from preprocessing.PreProcess import PreProcess
def main():
date_column = "date of last vet visit"
target = "age at death"
export_file_dir = "./output/"
export_model_dir = "./model/xgb_mode... | normal | {
"blob_id": "696b9db78cc7f6002eb39b640e0e5b2b53e52e91",
"index": 8448,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n date_column = 'date of last vet visit'\n target = 'age at death'\n export_file_dir = './output/'\n export_model_dir = './model/xgb_model.dat'\n import_ = ... | [
0,
1,
2,
3,
4
] |
/home/runner/.cache/pip/pool/9b/88/a0/f20a7b2f367cd365add3353eba0cf34569d5f62a33587f96cebe6d4360 | normal | {
"blob_id": "12f05f42c9ed56d6a2c95fb56a8619fae47a2f1a",
"index": 6035,
"step-1": "/home/runner/.cache/pip/pool/9b/88/a0/f20a7b2f367cd365add3353eba0cf34569d5f62a33587f96cebe6d4360",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
} | [
0
] |
'''Turning on or off, toggling and checking the status' of a specific relay'''
#!/bin/env python3
from time import sleep
from gpiozero import LED
RELAYS = [
LED(23),
LED(24),
LED(25),
LED(8),
LED(7),
LED(1),
LED(12),
LED(16)
]
def on_action(relay_option, number):
'''To turn on t... | normal | {
"blob_id": "d82412055affc96d634957c953a35ea69b7e702f",
"index": 403,
"step-1": "<mask token>\n\n\ndef on_action(relay_option, number):\n \"\"\"To turn on the chosen relay\"\"\"\n relay_option.on()\n print(f'relay {number} is turning on')\n\n\n<mask token>\n\n\ndef toggle_action(relay_option, number):\n... | [
6,
7,
9,
10,
11
] |
'''
check if word appear in file
'''
# easier solution :
def findKeyInFile(word, filepath):
with open(filepath) as f:
for line in f.readlines():
if line.count(word) > 0:
return line
return None
| normal | {
"blob_id": "97fb2388777bcb459b9818495121fdf8318095ca",
"index": 8881,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef findKeyInFile(word, filepath):\n with open(filepath) as f:\n for line in f.readlines():\n if line.count(word) > 0:\n return line\n return No... | [
0,
1,
2
] |
from django.contrib import admin
from django.urls import path
from django.conf.urls import url
from . import views
urlpatterns = [
path('admin/', admin.site.urls),
path(r'', views.index, name='index'),
]
| normal | {
"blob_id": "b0fad3847519bb18365a8cd4226d06e9d96a8308",
"index": 1258,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [path('admin/', admin.site.urls), path('', views.index, name=\n 'index')]\n",
"step-3": "from django.contrib import admin\nfrom django.urls import path\nfrom django.con... | [
0,
1,
2,
3
] |
# Generated by Django 3.0.8 on 2021-03-25 13:47
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('Asha', '0005_baby'),
]
operations = [
migrations.AlterField(
model_name='baby',
... | normal | {
"blob_id": "e14b8d0f85042ceda955022bee08b3b3b4c2361d",
"index": 7367,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('Asha', '000... | [
0,
1,
2,
3,
4
] |
___author__ = 'acmASCIS'
'''
by ahani at {9/24/2016}
'''
import time
class Freq(object):
def __init__(self, array):
self.__array = array
self.__frequency_dict = {}
self.__array_length = len(array)
self.__running_time = round(time.time() * 1000)
def get_original_array(sel... | normal | {
"blob_id": "b569f0a0dda048d6337e1028a240caabf188a174",
"index": 9420,
"step-1": "<mask token>\n\n\nclass Freq(object):\n\n def __init__(self, array):\n self.__array = array\n self.__frequency_dict = {}\n self.__array_length = len(array)\n self.__running_time = round(time.time() * ... | [
3,
5,
6,
7,
10
] |
#import fungsi_saya as fs
# from fungsi_saya import kalkulator as k
# hasil = k(10,5,'+')
# print(hasil)
from kelas import Siswa
siswa_1 = Siswa('Afif', "A.I.", 17, 'XII IPA')
siswa_2 = Siswa('Bayu', 'Sudrajat', 20, 'XII IPS')
siswa_3 = Siswa('Bayu', 'Sudrajat', 20, 'XII IPS')
siswa_4 = Siswa('Bayu', 'Sudrajat', 20,... | normal | {
"blob_id": "bd2c327915c1e133a6e7b7a46290369440d50347",
"index": 3876,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsiswa_1 = Siswa('Afif', 'A.I.', 17, 'XII IPA')\nsiswa_2 = Siswa('Bayu', 'Sudrajat', 20, 'XII IPS')\nsiswa_3 = Siswa('Bayu', 'Sudrajat', 20, 'XII IPS')\nsiswa_4 = Siswa('Bayu', 'Sudrajat',... | [
0,
1,
2,
3
] |
import pytest
from homeworks.homework6.oop_2 import (
DeadLineError,
Homework,
HomeworkResult,
Student,
Teacher,
)
def test_creating_objects():
teacher = Teacher("Daniil", "Shadrin")
student = Student("Roman", "Petrov")
homework = teacher.create_homework("Learn OOP", 1)
homework_r... | normal | {
"blob_id": "8f971ee3b98691a887ee0632afd613bbf4f19aa0",
"index": 3505,
"step-1": "<mask token>\n\n\ndef test_creating_objects():\n teacher = Teacher('Daniil', 'Shadrin')\n student = Student('Roman', 'Petrov')\n homework = teacher.create_homework('Learn OOP', 1)\n homework_result = student.do_homework... | [
1,
2,
3,
4,
5
] |
import pandas as pd
import numpy as np
#import data
df = pd.read_csv('../.gitignore/PPP_data_to_150k.csv')
counties = pd.read_csv('../data/zip_code_database.csv')
demographics = pd.read_csv('../data/counties.csv')
#filter out all unanswered ethnicities
df2 = df[~df.RaceEthnicity.str.contains("Unanswered")]
#drop non... | normal | {
"blob_id": "732478fd826e09cf304760dfcc30cd077f74d83e",
"index": 2250,
"step-1": "import pandas as pd\nimport numpy as np\n\n#import data\ndf = pd.read_csv('../.gitignore/PPP_data_to_150k.csv')\ncounties = pd.read_csv('../data/zip_code_database.csv')\ndemographics = pd.read_csv('../data/counties.csv')\n\n#filter... | [
0
] |
from typing import List
from re import match
from utility import ButtonGroup
import rumps
class RepeatWorkBreak(rumps.App):
def __init__(self):
rumps.debug_mode(True)
self.config = {
"app_title": "Repeat Work and Break",
"start": "Start",
"pause": "Pause Timer"... | normal | {
"blob_id": "2ca91c410b8c8d6306d5ed918783a4d77a091ba8",
"index": 360,
"step-1": "<mask token>\n\n\nclass RepeatWorkBreak(rumps.App):\n <mask token>\n\n def set_up_menu(self):\n self.timer.stop()\n self.timer.count = 0\n self.app.title = self.config['app_title']\n\n def convert_secon... | [
7,
10,
11,
12,
14
] |
from yapsy.IPlugin import IPlugin
import wolframalpha
import yaml
keys_file = open("friday/plugins/KEYS")
keys = yaml.load(keys_file)
keys_file.close()
class Wolfram(IPlugin):
def can_perform(self, friday, request):
return 'result' in request and 'resolvedQuery' in request['result']\
and ... | normal | {
"blob_id": "57564c2e94a65187bf5e033ee06926fb593e11a7",
"index": 7733,
"step-1": "<mask token>\n\n\nclass Wolfram(IPlugin):\n\n def can_perform(self, friday, request):\n return 'result' in request and 'resolvedQuery' in request['result'\n ] and 'action' in request['result'] and request['resu... | [
3,
4,
5,
6,
7
] |
import database
import nltk
def pop(i): # pupulate the words table
loc = i
sentencesTrial = []
File = open('words.txt')
lines = File.read()
sentences = nltk.sent_tokenize(lines)
locations = ["Castle","Beach","Beach","Ghost Town","Ghost Town","Haunted House","Jungle","Carnival", "Ghost Town", "Hi... | normal | {
"blob_id": "e7ac5c1010330aec81ce505fd7f52ccdeddb76de",
"index": 8923,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef pop(i):\n loc = i\n sentencesTrial = []\n File = open('words.txt')\n lines = File.read()\n sentences = nltk.sent_tokenize(lines)\n locations = ['Castle', 'Beach'... | [
0,
1,
2,
3,
4
] |
print "test"
print "moreing"
print " a nnnnn" | normal | {
"blob_id": "551e9c696eaad6c78f2eae66e50cca34c153d9dd",
"index": 4636,
"step-1": "print \"test\"\n\nprint \"moreing\"\n\nprint \" a nnnnn\"",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
} | [
0
] |
import math
r = float(input())
p = int(input())
obim = 2 * r * math.pi
ukupanPut = p * obim
# centimetre pretvaramo u metre
ukupanPut = ukupanPut * 0.01
print("%.2f" % ukupanPut)
| normal | {
"blob_id": "1f27b697985c7417e6d8d978703175a415c6c57d",
"index": 327,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('%.2f' % ukupanPut)\n",
"step-3": "<mask token>\nr = float(input())\np = int(input())\nobim = 2 * r * math.pi\nukupanPut = p * obim\nukupanPut = ukupanPut * 0.01\nprint('%.2f' % uk... | [
0,
1,
2,
3,
4
] |
import sys
def saludar(saludo):
print saludo
def iniciales(nombre,ape1,ape2):
iniciales=nombre[0]+'.'+ape1[0]+'.'+ape2[0]+'.'
return "Tus iniciales son:"+iniciales.upper()
def iniciales1(nombre,ape1,*apellidos):
iniciales=nombre[0]+'.'+ape1[0]
for ape in apellidos:
iniciales=iniciales+'.'+ape[0]
return in... | normal | {
"blob_id": "01b615f8282d4d42c5e83181fffc2d7cb612c096",
"index": 704,
"step-1": "import sys \n\n\ndef saludar(saludo):\n\tprint saludo\n\ndef iniciales(nombre,ape1,ape2):\n\tiniciales=nombre[0]+'.'+ape1[0]+'.'+ape2[0]+'.'\n\treturn \"Tus iniciales son:\"+iniciales.upper()\n\n\ndef iniciales1(nombre,ape1,*apellid... | [
0
] |
# 5. Усовершенствовать программу «Банковский депозит». Третьим аргументом в функцию должна
# передаваться фиксированная ежемесячная сумма пополнения вклада. Необходимо в главной
# функции реализовать вложенную функцию подсчета процентов для пополняемой суммы.
# Примем, что клиент вносит средства в последний день каж... | normal | {
"blob_id": "bf9e83591f737caec3060b72d86d56faec9bb23b",
"index": 8079,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef chargeable_deposit(amount, months, charge=0):\n percent = get_percent(amount, months)\n if not percent:\n print('Нет подходящего тарифа')\n total = amount\n for... | [
0,
1,
2,
3,
4
] |
import logging
from bson import ObjectId
from typing import Union
from app.helper import parseControllerResponse
from models.members import Member
from schema.members import (
CreateMemberSchema,
MemberInDBSchema,
UpdateMemberSchema,
memberHelper,
)
def getAllMembersFromDB(**kwargs):
"""Finds an... | normal | {
"blob_id": "95f9e9a8f681679f56c3755199fba7d654af85e8",
"index": 1937,
"step-1": "<mask token>\n\n\ndef getAllMembersFromDB(**kwargs):\n \"\"\"Finds and returns all the registered members\"\"\"\n isResponseParsed = kwargs.get('isParsed', False)\n logging.info('Trying to find all the users')\n try:\n ... | [
3,
4,
5,
6,
7
] |
import caffe
import numpy as np
class PyLayer(caffe.Layer):
def setup(self, bottom, top):
if len(bottom) != 2:
raise Exception("Need two inputs to compute distance")
def reshape(self, bottom, top):
if bottom[0].count != bottom[1].count:
raise Exception("Inputs must have the same dimension")
... | normal | {
"blob_id": "8040b47dc3fd6b03432f64d7fb8a4267cc94ac9a",
"index": 2698,
"step-1": "<mask token>\n\n\nclass PyLayer(caffe.Layer):\n\n def setup(self, bottom, top):\n if len(bottom) != 2:\n raise Exception('Need two inputs to compute distance')\n\n def reshape(self, bottom, top):\n if... | [
3,
4,
5,
6,
7
] |
from __future__ import annotations
import logging
import os
import sys
from argparse import Namespace
from pathlib import Path
from uuid import uuid4
import pytest
from virtualenv.discovery.builtin import Builtin, get_interpreter
from virtualenv.discovery.py_info import PythonInfo
from virtualenv.info import fs_supp... | normal | {
"blob_id": "55d4f4bba2b72ec93cb883527d2a9c2ebe8ec337",
"index": 4910,
"step-1": "<mask token>\n\n\ndef test_relative_path(session_app_data, monkeypatch):\n sys_executable = Path(PythonInfo.current_system(app_data=\n session_app_data).system_executable)\n cwd = sys_executable.parents[1]\n monkeyp... | [
1,
4,
5,
6,
7
] |
# template for "Stopwatch: The Game"
import math
import simplegui
# define global variables
successcount = 0;
totalstopcount = 0;
count = 0;
T = True;
F = True;
# define helper function format that converts time
# in tenths of seconds into formatted string A:BC.D
def format(t):
A = str(t // 600);
tem = (t /... | normal | {
"blob_id": "bb198978ffc799bb43acf870467496e1dcc54d4b",
"index": 3710,
"step-1": "<mask token>\n\n\ndef format(t):\n A = str(t // 600)\n tem = t // 10\n tem = tem % 60\n B = str(tem // 10)\n C = str(tem % 10)\n D = str(t % 10)\n return A + ':' + B + C + '.' + D\n\n\n<mask token>\n\n\ndef res... | [
4,
5,
6,
7,
10
] |
from datetime import datetime as dt
YEAR = dt.today().year
BINARY_LOCATION = {'binary_location': 'C:/Program Files (x86)/Google/Chrome/Application/chrome.exe'}
CHROME_DRIVER_PATH = r'C:\Users\pavithra\Downloads\chromedriver_win32\chromedriver.exe'
EXTRACTED_DIR = r'C:\Users\pavithra\Documents\fintuple-automation-proje... | normal | {
"blob_id": "95422348c8db9753830cc0a7c8785c05b44886b1",
"index": 842,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef enable_download(driver, directory):\n \"\"\"\n\n :param driver: Selenium web driver\n :param directory: Directory to store the file\n\n This function allows the Seleniu... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/python3
# -*- coding: UTF-8 -*-
import RPi.GPIO as gpio # 导入Rpi.GPIO库函数命名为GPIO
import time
gpio.setmode(gpio.BOARD) #将GPIO编程方式设置为BOARD模式
pin = 40
gpio.setup(pin, gpio.OUT) #控制pin号引脚
gpio.output(pin, gpio.HIGH) #11号引脚输出高电平
time.sleep(5) #计时0.5秒
gpio.output(pin, gpio.LOW) #11号引脚输出低电平
time.sleep(1) #计时1秒
... | normal | {
"blob_id": "cfdfc490396546b7af732417b506100357cd9a1f",
"index": 6762,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ngpio.setmode(gpio.BOARD)\n<mask token>\ngpio.setup(pin, gpio.OUT)\ngpio.output(pin, gpio.HIGH)\ntime.sleep(5)\ngpio.output(pin, gpio.LOW)\ntime.sleep(1)\ngpio.cleanup()\n",
"step-3": "<... | [
0,
1,
2,
3,
4
] |
from .core import S3FileSystem, S3File
from .mapping import S3Map
from ._version import get_versions
__version__ = get_versions()['version']
del get_versions
| normal | {
"blob_id": "32e60c672d6e73600d442c4344743deccaed6796",
"index": 8819,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndel get_versions\n",
"step-3": "<mask token>\n__version__ = get_versions()['version']\ndel get_versions\n",
"step-4": "from .core import S3FileSystem, S3File\nfrom .mapping import S3M... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
#
# Author : cold
# E-mail : wh_linux@126.com
# Date : 13/09/05 11:16:58
# Desc :
#
import twqq
from setuptools import setup
requires = ["tornado", "pycurl", "tornadohttpclient"]
packages = ["twqq"]
entry_points = {
}
setup(
name = "twqq",
... | normal | {
"blob_id": "9492142a569da1d21b1927e79d97f9cf6276efdc",
"index": 2800,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsetup(name='twqq', version=twqq.__version__, description=\n 'An asynchronous webqq client library based on tornado',\n long_description=open('README.rst').read(), author='cold', aut... | [
0,
1,
2,
3,
4
] |
import os
import pandas as pd
from tabulate import tabulate
if __name__ == '__main__':
bestPrecision = [0,0,0,0,0,0]
bestPrecisionFile = ['','','','','','']
bestRecall = [0,0,0,0,0,0]
bestRecallFile = ['','','','','','']
bestSupport = [0,0,0,0,0,0]
bestSupportFile = ['','','','','','']
bes... | normal | {
"blob_id": "22c498d84f40455d89ed32ccf3bf8778cb159579",
"index": 79,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n bestPrecision = [0, 0, 0, 0, 0, 0]\n bestPrecisionFile = ['', '', '', '', '', '']\n bestRecall = [0, 0, 0, 0, 0, 0]\n bestRecallFile = ['', '', '', ... | [
0,
1,
2,
3
] |
"""
This file is part of GALE,
Copyright Joe Krall, 2014.
GALE is free software: you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version... | normal | {
"blob_id": "957545649e9bf1eaabe42a1caa627d544e68f108",
"index": 5490,
"step-1": "\"\"\"\n This file is part of GALE,\n Copyright Joe Krall, 2014.\n\n GALE is free software: you can redistribute it and/or modify\n it under the terms of the GNU Lesser General Public License as published by\n the Fr... | [
0
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# python/motorcycle.py Author "Nathan Wycoff <nathanbrwycoff@gmail.com>" Date 06.23.2019
# Run a CGAN on the motorcycle data.
import keras
import numpy as np
from tqdm import tqdm
import matplotlib.pyplot as plt
np.random.seed(123)
import tensorflow as tf
from scipy.opt... | normal | {
"blob_id": "aba3e0907e59bc5125759e90d3c784ceb97fca80",
"index": 9941,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nnp.random.seed(123)\n<mask token>\ntf.enable_eager_execution()\ntf.set_random_seed(123)\n<mask token>\ngen.add(tf.keras.layers.Dense(H, input_dim=P + R, activation=tf.keras.\n activati... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
{
'name': 'Islamic Datepicker',
'category': 'Extra Tools',
'author': 'Mostafa Mohamed',
'website': 'https://eg.linkedin.com/in/mostafa-mohammed-449a8786',
'price': 25.00,
'currency': 'EUR',
'version': '9.0.1.0.1',
'depends': ['base','web'],
'data': [
'... | normal | {
"blob_id": "51a4d8f1be7009b69f0b69bdd51a0077256304a9",
"index": 7222,
"step-1": "<mask token>\n",
"step-2": "{'name': 'Islamic Datepicker', 'category': 'Extra Tools', 'author':\n 'Mostafa Mohamed', 'website':\n 'https://eg.linkedin.com/in/mostafa-mohammed-449a8786', 'price': 25.0,\n 'currency': 'EUR'... | [
0,
1,
2
] |
#!/bin/env python
from boincvm_common.stomp.StompProtocol import StompProtocolFactory
from stomp.HostStompEngine import HostStompEngine
from boincvm_host.xmlrpc.HostXMLRPCService import HostXMLRPCService
from twisted.internet import reactor
from ConfigParser import SafeConfigParser
import coilmq.start
import loggi... | normal | {
"blob_id": "e533b7aadd1cd7137301af8862dd2987622e499e",
"index": 3357,
"step-1": "#!/bin/env python\n\nfrom boincvm_common.stomp.StompProtocol import StompProtocolFactory\nfrom stomp.HostStompEngine import HostStompEngine\n\nfrom boincvm_host.xmlrpc.HostXMLRPCService import HostXMLRPCService\n\nfrom twisted.inte... | [
0
] |
def ddm_dd_convert(coord, direction):
"""Converts GPS reading from DDM to DD
str coord - the ddm coordinate from $GPGGA
str direction - the direction of the coord (N,S,W,E)
returns - string representation of dd coordinate
"""
value = ''
if (direction == 'S' or direction =... | normal | {
"blob_id": "dc5630e17bb6ed85157b06108250427be41416d1",
"index": 7766,
"step-1": "<mask token>\n\n\ndef gprmc_convert(line):\n \"\"\"Translates $GPRMC line into documented array\n str line - the GPRMC line\n returns - the data documented into array\n \"\"\"\n gps = line.strip().split(',')\n ... | [
2,
3,
4,
5,
6
] |
import os
import sys
import string
from array import *
from datetime import datetime
#f = open('input_test.txt', 'r')
f = open('input_task.txt', 'r')
width = 60
height = 5000
sleepingMinutes = [[0 for x in range(width)] for y in range(height)]
infos = []
# Change lines to tuples and store to array for sorting
for l... | normal | {
"blob_id": "293533d07b530be9e8f97f1720619bf6c3113cca",
"index": 9447,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor line in f:\n line = line.rstrip('\\n')\n line = line.replace('[', '')\n splitted = line.split(']')\n stringTime = splitted[0]\n stringTask = splitted[1]\n datetimeTi... | [
0,
1,
2,
3,
4
] |
from odoo import models,fields, api
class director(models.Model):
#Clasica
_inherit = 'base.entidad'
_name = 'cinemateca.director'
name = fields.Char(string="name", required=True, help="Nombre del director")
apellidos = fields.Char(string="apellidos", required=True, help="Apellidos del director")
... | normal | {
"blob_id": "006f499eed7cd5d73bb0cb9b242c90726fff35c1",
"index": 3185,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass director(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass director(models.Model)... | [
0,
1,
2,
3,
4
] |
'''Lab01 ex4
E/16/319 Rathnayake R.P.V.N'''
from dataclasses import asdict
from json import dumps
from dataclasses import dataclass
from typing import List, Dict
import json
import ex1 #import the ex1 to get the lord_course_registraion function
s1=ex1.load_course_registrations("data.txt") #lord the list of Student ... | normal | {
"blob_id": "8a5ade450485f9114fa91c00c7588535ccbaf0e6",
"index": 1923,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('student_registrations.json', 'w') as f:\n f.write(e)\n",
"step-3": "<mask token>\ns1 = ex1.load_course_registrations('data.txt')\ns1 = map(asdict, s1)\ne = json.dumps(list... | [
0,
1,
2,
3,
4
] |
import os
from src.model_manager import ModelManager
dir_path = os.path.dirname(os.path.realpath(__file__))
config_file = '{}/data/config/config_1.json'.format(dir_path)
model_dir = '{}/data/models'.format(dir_path)
def test_init():
mm = ModelManager(config_file, model_dir)
def test_predict():
pass
| normal | {
"blob_id": "5da61b4cd8e4faf135b49396d3b346a219bf73f6",
"index": 3851,
"step-1": "<mask token>\n\n\ndef test_predict():\n pass\n",
"step-2": "<mask token>\n\n\ndef test_init():\n mm = ModelManager(config_file, model_dir)\n\n\ndef test_predict():\n pass\n",
"step-3": "<mask token>\ndir_path = os.path... | [
1,
2,
3,
4
] |
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