code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
#! /usr/bin/python2
# Copyright 2007 John Kasunich and Jeff Epler
#
# modified by Rudy du Preez to fit with the kinematics component pumakins.c
# Note: DH parameters in pumakins halfile should bet set to
# A2=400, A3=50, D3=100, D4=400, D6=95
#
# z |
# ... | normal | {
"blob_id": "ae83a0e1ebf1190ab55459563bc7b86d240de89a",
"index": 4146,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nc.newpin('joint1', hal.HAL_FLOAT, hal.HAL_IN)\nc.newpin('joint2', hal.HAL_FLOAT, hal.HAL_IN)\nc.newpin('joint3', hal.HAL_FLOAT, hal.HAL_IN)\nc.newpin('joint4', hal.HAL_FLOAT, hal.HAL_IN)\... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
try:
num1, num2 = float(num1), float(num2)
if operation == 'add':
result = num1 + num2
print(result)
elif operation == 'subtract':
result = num1 - num2
print(result)
elif operation =... | flexible | {
"blob_id": "bafb6c09ecd0017428441e109733ebcb189863ad",
"index": 3598,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n num1, num2 = float(num1), float(num2)\n if operation == 'add':\n result = num1 + num2\n print(result)\n elif operation == 'subtract':\n result = num1 ... | [
0,
1,
2,
3
] |
import pytest
import problem22 as p22
def test_burst():
"""Test burst() in Cluster"""
print('\nTesting burst()')
cluster = p22.Cluster('..#\n#..\n...')
assert cluster.infected[p22.Position(0, 2)] == p22.State.Infected
assert cluster.infected[p22.Position(1, 0)] == p22.State.Infected
assert clus... | normal | {
"blob_id": "f0a3778e74d113a5de778fa17ec321c6680c56c2",
"index": 1143,
"step-1": "<mask token>\n\n\ndef test_burst_evolved():\n \"\"\"Test burst() in EvolvedCluster\"\"\"\n cluster = p22.EvolvedCluster('..#\\n#..\\n...')\n assert cluster.infected[p22.Position(0, 2)] == p22.State.Infected\n assert clu... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
class Purpose(Enum):
halide_nightly = 1
halide_testbranch = 2
llvm_nightly = 3
class BuildSystem(Enum):
make = 0
cmake = 1
class BuilderType:
"""A class to encapsulate the settings for a specific Builder.
(Do not confuse with CMake's 'BUILD_TYPE', which ... | flexible | {
"blob_id": "4abcca52095a169b71d2527ce52b8367534c42a4",
"index": 5989,
"step-1": "<mask token>\n\n\nclass Purpose(Enum):\n halide_nightly = 1\n halide_testbranch = 2\n llvm_nightly = 3\n\n\nclass BuildSystem(Enum):\n make = 0\n cmake = 1\n\n\nclass BuilderType:\n \"\"\"A class to encapsulate th... | [
45,
55,
62,
69,
80
] |
__author__ = 'cromox'
from time import sleep
import inspect
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from Forex_CFD.features.main_page import FxMainPage
class FxBuySell(FxMainPage):
def _... | normal | {
"blob_id": "5850be6aef6e4adb36a122cb8e5ffe044b1c9009",
"index": 4589,
"step-1": "<mask token>\n\n\nclass FxBuySell(FxMainPage):\n <mask token>\n\n def buy(self, amount):\n self.log.info('--> ' + inspect.stack()[0][3] + ' started')\n if self.driver.find_element_by_xpath(\n \"//div[... | [
3,
5,
8,
9,
11
] |
"""
USERS MODEL
"""
from www import app
import mongoengine
import datetime
class User(mongoengine.Document):
username = mongoengine.StringField(required=True)
password = mongoengine.StringField(required=True)
email = mongoengine.StringField(required=True)
active_hash = mongoengine.StringField(re... | normal | {
"blob_id": "51cdb41836415c08609ee6a6bcc3adbaf2533da4",
"index": 3697,
"step-1": "<mask token>\n\n\nclass User(mongoengine.Document):\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 token>... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(2 * 3)
<|reserved_special_token_0|>
if a >= b:
print('You can drive the car, you are ', a)
else:
print('Sorry, you are too small')
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(2 * 3)
<|reserved_... | flexible | {
"blob_id": "911257bad3baab89e29db3facb08ec41269b41e3",
"index": 9953,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(2 * 3)\n<mask token>\nif a >= b:\n print('You can drive the car, you are ', a)\nelse:\n print('Sorry, you are too small')\n",
"step-3": "<mask token>\nprint(2 * 3)\n<mask to... | [
0,
1,
2,
3
] |
from django.db import models
from django.contrib.auth.models import AbstractUser
from django.db.models import Max
from django.core.validators import RegexValidator
from django.utils import timezone
class User(AbstractUser):
is_developer = models.BooleanField('developer status', default=False)
is_marketing = mo... | normal | {
"blob_id": "94e9e7c4c09c8c4de4c8f2649707a949d5f5f856",
"index": 7836,
"step-1": "<mask token>\n\n\nclass Location(models.Model):\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 token>\n\n... | [
38,
40,
46,
50,
55
] |
<|reserved_special_token_0|>
def Create_list():
i = 0
for file in os.listdir(os.getcwd()):
if file.endswith('openplc'):
Monitoredlist.append(file)
i += 1
if i == 0:
print('No Files are being monitored!')
else:
print('The files being monitored are as foll... | flexible | {
"blob_id": "6f8ce77dd45f555ca092482715b6ccaa33414fd8",
"index": 4176,
"step-1": "<mask token>\n\n\ndef Create_list():\n i = 0\n for file in os.listdir(os.getcwd()):\n if file.endswith('openplc'):\n Monitoredlist.append(file)\n i += 1\n if i == 0:\n print('No Files ar... | [
5,
6,
8,
9,
10
] |
from contextlib import contextmanager
from filecmp import cmp, dircmp
from shutil import copyfile, copytree, rmtree
import pytest
from demisto_sdk.commands.common.constants import PACKS_DIR, TEST_PLAYBOOKS_DIR
from demisto_sdk.commands.common.tools import src_root
TEST_DATA = src_root() / 'tests' / 'test_files'
TEST_... | normal | {
"blob_id": "8928c2ff49cbad2a54252d41665c10437a471eeb",
"index": 1404,
"step-1": "<mask token>\n\n\ndef same_folders(src1, src2):\n \"\"\"Assert if folder contains diffrent files\"\"\"\n dcmp = dircmp(src1, src2)\n if dcmp.left_only or dcmp.right_only:\n return False\n for sub_dcmp in dcmp.sub... | [
6,
8,
9,
12,
15
] |
<|reserved_special_token_0|>
class AllFieldsAdmin(admin.ModelAdmin):
<|reserved_special_token_0|>
def __init__(self, model, admin_site):
self.list_display = [field.name for field in model._meta.fields if
field.name not in ['id']]
super(AllFieldsAdmin, self).__init__(model, admin_... | flexible | {
"blob_id": "821afa85eb783b4bf1018800f598a3294c4cbcfb",
"index": 9532,
"step-1": "<mask token>\n\n\nclass AllFieldsAdmin(admin.ModelAdmin):\n <mask token>\n\n def __init__(self, model, admin_site):\n self.list_display = [field.name for field in model._meta.fields if \n field.name not in [... | [
2,
3,
4,
5,
6
] |
from integral_image import calc_integral_image
class Region:
def __init__(self, x, y, width, height):
self.x = x
self.y = y
self.width = width
self.height = height
def calc_feature(self, cumul_sum):
yy = self.y + self.height
xx = self.x + self.width
re... | normal | {
"blob_id": "03e92eae4edb4bdbe9fa73e39e7d5f7669746fe5",
"index": 3859,
"step-1": "<mask token>\n\n\nclass Region:\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Region:\n <mask token>\n\n def calc_feature(self, cumul_sum):\n yy = self.y + self.height\n xx = self.... | [
1,
2,
3,
4
] |
try:
from LoggerPlugin import LoggerPlugin
except ImportError:
from RTOC.LoggerPlugin import LoggerPlugin
from .holdPeak_VC820.vc820py.vc820 import MultimeterMessage
import serial
import sys
import traceback
from PyQt5 import uic
from PyQt5 import QtWidgets
import logging as log
log.basicConfig(level=log.INFO... | normal | {
"blob_id": "c3efaeab600ec9a7a9fffdfad5c9dc1faad8fee7",
"index": 726,
"step-1": "<mask token>\n\n\nclass Plugin(LoggerPlugin):\n <mask token>\n\n def __init__(self, *args, **kwargs):\n super(Plugin, self).__init__(*args, **kwargs)\n self.setDeviceName(devicename)\n self.smallGUI = True... | [
5,
8,
10,
11,
12
] |
from flask import Flask, request, redirect, url_for, render_template
from flask_modus import Modus
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
app = Flask(__name__)
app.config[
'SQLALCHEMY_DATABASE_URI'] = "postgres://localhost/flask_one_to_many"
app.config['SQLALCHEMY_TRACK_MODIFICAT... | normal | {
"blob_id": "026e06e777d64f8724ec5e89a7829b3a42a25d6b",
"index": 800,
"step-1": "<mask token>\n\n\nclass Student(db.Model):\n __tablename__ = 'students'\n id = db.Column(db.Integer, primary_key=True)\n first_name = db.Column(db.Text)\n last_name = db.Column(db.Text)\n excuses = db.relationship('Ex... | [
13,
14,
15,
16,
17
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
def intToRoman(self, num):
normalDic = {(1000): 'M', (500): 'D', (100): 'C', (50): 'L', (10):
'X', (5): 'V', (1): 'I'}
specialDic... | flexible | {
"blob_id": "7de06772a1024a81193ac69a1110ad2e8b7f64ac",
"index": 9085,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n",
"step-3": "class Solution:\n\n def intToRoman(self, num):\n normalDic = {(1000): 'M', (500): 'D', (100): 'C', (50): 'L', (10):\n 'X', (5): '... | [
0,
1,
2,
3
] |
import json
from week2.Stack import Stack
class TransactionStack:
def __init__(self):
self.stack = Stack()
with open("json_file/Transaction_Stack.json") as data:
try:
temp = json.load(data)
except Exception:
pass
else:
... | normal | {
"blob_id": "30a2358e8396d24d6c3cd72d04321aa9f9f83995",
"index": 8233,
"step-1": "<mask token>\n\n\nclass TransactionStack:\n <mask token>\n\n def transaction_stack(self, transaction, customer_name, company_name,\n no_of_share, cost, time):\n new_transaction = {'transaction': transaction, 'cu... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
class SnapshotMismatchError(Exception):
"""
Main snapshot mismatch exception.
"""
def setup_logging(level: int) ->logging.Logger:
"""
Get Logger instance.
Arguments:
level -- Log level
Returns:
Overriden Logger.
"""
logger = logging.... | flexible | {
"blob_id": "f3466fd38ecf472a4342aad4d10410d6f2a67d47",
"index": 1779,
"step-1": "<mask token>\n\n\nclass SnapshotMismatchError(Exception):\n \"\"\"\n Main snapshot mismatch exception.\n \"\"\"\n\n\ndef setup_logging(level: int) ->logging.Logger:\n \"\"\"\n Get Logger instance.\n\n Arguments:\n... | [
13,
14,
16,
17,
19
] |
import json
import datetime
import string
import random
import logging
import jwt
from main import db
from main.config import config
def execute_sql_from_file(filename):
# Open and read the file as a single buffer
fd = open(filename, 'r')
sql_file = fd.read()
fd.close()
# All SQL commands (spli... | normal | {
"blob_id": "a724b49c4d86400b632c02236ceca58e62ba6c86",
"index": 9116,
"step-1": "import json\nimport datetime\nimport string\nimport random\nimport logging\n\nimport jwt\n\nfrom main import db\nfrom main.config import config\n\n\ndef execute_sql_from_file(filename):\n # Open and read the file as a single buf... | [
0
] |
#
# @lc app=leetcode.cn id=909 lang=python3
#
# [909] 蛇梯棋
#
# @lc code=start
from typing import List
class Solution:
def snakesAndLadders(self, board: List[List[int]]) -> int:
N = len(board)
def get_pos(num):
r = (num-1) // N
c = (num-1) % N
c = c if ((r+1) & 1)... | normal | {
"blob_id": "da5a366d1cc4f192a220dc38c7a74aeb3fba7cdb",
"index": 9839,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n <mask token>\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\nclass Solution:\n\n def snakesAndLadders(self, board: List[List[int]]) ->int:\n N = le... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
plt.figure()
plt.xlabel('Time (ms)', fontsize=30)
plt.ylabel('Capture rate (%)', fontsize=30)
plt.xticks(fontsize=25)
plt.yticks(fontsize=25)
plt.xlim(x_lower_limit, x_upper_limit)
plt.ylim(y_lower_limit, y_upper_limit)
plt.plot(s... | flexible | {
"blob_id": "bee96e817dd4d9462c1e3f8eb525c22c2117140a",
"index": 9942,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nplt.figure()\nplt.xlabel('Time (ms)', fontsize=30)\nplt.ylabel('Capture rate (%)', fontsize=30)\nplt.xticks(fontsize=25)\nplt.yticks(fontsize=25)\nplt.xlim(x_lower_limit, x_upper_limit)\n... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class ReportGenerator(object):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def run(self, html, url):
print('[#] Running the report generator')
self.html = html
self.getting_flags_locations()
self.getting_related_flags(url)
<|r... | flexible | {
"blob_id": "2003060f7793de678b4a259ad9424cd5927a57f7",
"index": 3167,
"step-1": "<mask token>\n\n\nclass ReportGenerator(object):\n <mask token>\n <mask token>\n\n def run(self, html, url):\n print('[#] Running the report generator')\n self.html = html\n self.getting_flags_location... | [
8,
13,
14,
15,
17
] |
from LinkedList import LinkedList
class ListNode(object):
def __init__(self, x):
self.val = x
self.next = None
class Solution(object):
def addTwoNumbers(self, l1, l2):
"""
:type l1: ListNode
:type l2: ListNode
:rtype: ListNode
"""
h1 = l1
... | normal | {
"blob_id": "0f3ecd0a7189f57fdbda2360f6e39bd6101e2fdb",
"index": 7435,
"step-1": "<mask token>\n\n\nclass ListNode(object):\n\n def __init__(self, x):\n self.val = x\n self.next = None\n\n\nclass Solution(object):\n\n def addTwoNumbers(self, l1, l2):\n \"\"\"\n :type l1: ListNod... | [
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def is_admin():
"""
The function ``is_admin`` detects whether the calling process is running
with administrator/superuser privileges. It works cross-platform on
either Windows NT systems or Unix-based systems.
... | flexible | {
"blob_id": "f1601d3d820b93631f9b1358627a5716016ad135",
"index": 5473,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef is_admin():\n \"\"\"\n The function ``is_admin`` detects whether the calling process is running\n with administrator/superuser privileges. It works cross-platform on \n ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def get_version():
return '2.01'
<|reserved_special_token_0|>
def restart():
print('restart')
try:
emby_wsocket.stop()
except:
sys.exit()
sys.exit()
print('fin restart')
def save_config(config_file, config):
with open(config_file, 'w') as ... | flexible | {
"blob_id": "2ff85ac059f160fcc6b39b4298e8216cbad77ab3",
"index": 504,
"step-1": "<mask token>\n\n\ndef get_version():\n return '2.01'\n\n\n<mask token>\n\n\ndef restart():\n print('restart')\n try:\n emby_wsocket.stop()\n except:\n sys.exit()\n sys.exit()\n print('fin restart')\n\... | [
21,
24,
25,
27,
28
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main():
paths = ['..', '.']
absOfEntries = [i.abs for i in Easy.WalkAnIter(paths)]
for i in absOfEntries:
print(i)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0... | flexible | {
"blob_id": "b720a52f1c2e6e6be7c0887cd94441d248382242",
"index": 1836,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n paths = ['..', '.']\n absOfEntries = [i.abs for i in Easy.WalkAnIter(paths)]\n for i in absOfEntries:\n print(i)\n\n\n<mask token>\n",
"step-3": "<mask... | [
0,
1,
2,
3,
4
] |
import math
def solution(X, Y, D):
# write your code in Python 3.6
xy = Y-X;
if xy == 0: return 0
jumps = math.ceil(xy/D)
return jumps
| normal | {
"blob_id": "bdf819d8a5bc3906febced785c6d95db7dc3a603",
"index": 2376,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef solution(X, Y, D):\n xy = Y - X\n if xy == 0:\n return 0\n jumps = math.ceil(xy / D)\n return jumps\n",
"step-3": "import math\n\n\ndef solution(X, Y, D):\n ... | [
0,
1,
2,
3
] |
from z3 import *
import re
dna = re.compile("dna_(\d+)")
opt = Optimize()
opt.from_file("../benchmarks/bench.smt2")
set_option("sat.random_seed",23)
def get_soft(soft):
return [f.arg(0) for f in soft.children()]
def free_vars(fs):
seen = set([])
vars = set([])
def fv(seen, vars, f):
if f in... | normal | {
"blob_id": "c0d8f2542f9cf9a5097011c61c90073c031d2708",
"index": 9831,
"step-1": "<mask token>\n\n\ndef get_soft(soft):\n return [f.arg(0) for f in soft.children()]\n\n\ndef free_vars(fs):\n seen = set([])\n vars = set([])\n\n def fv(seen, vars, f):\n if f in seen:\n return\n ... | [
7,
8,
9,
10,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
dependencies = [(... | flexible | {
"blob_id": "ab3609c27fa002d79735c5d5c09ec7a52fedd040",
"index": 3484,
"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 = [('events', '0... | [
0,
1,
2,
3,
4
] |
# coding=gbk
from numpy import *
import fp_growth
'''
#创建树的一个单节点
rootNode=fp_growth.treeNode('pyramid',9,None)
#为其增加一个子节点
rootNode.children['eye']=fp_growth.treeNode('eye',13,None)
rootNode.disp()
#导入事务数据库实例
simpData=fp_growth.loadSimpData()
#print("simpData:")
#print(simpData)
#对数据进行格式化处理
initSet=fp_growth.cre... | normal | {
"blob_id": "e8b0e6e5e68933703e2ac8c9b2b62d68c0c2f53d",
"index": 8295,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfp_growth.minTree(myFPtree, myHeaderTab, 100000, set([]), myFreqList)\nprint(len(myFreqList))\n",
"step-3": "<mask token>\nparsedDat = [line.split() for line in open('kosarak.dat').read... | [
0,
1,
2,
3,
4
] |
import collect_from_webapi.api_public_data as pdapi
from collect_from_webapi import pd_fetch_tourspot_visitor
# url = pdapi.pd_gen_url("http://openapi.tour.go.kr/openapi/serviceTourismResourceStatsService/getPchrgTrrsrtVisitorList",
# YM='{0:04d}{1:02d}'.format(2017, 1),
# ... | normal | {
"blob_id": "c6a6b8f2485528af479fadbdf286e82f10a11de8",
"index": 9101,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor items in pd_fetch_tourspot_visitor(district='서울특별시', year=2017, month=7):\n print(items)\n<mask token>\nprint(item)\n",
"step-3": "<mask token>\nfor items in pd_fetch_tourspot_vi... | [
0,
1,
2,
3,
4
] |
'''
Paulie Jo Gonzalez
CS 4375 - os
Lab 0
Last modified: 02/14/2021
This code includes a reference to C code for my_getChar method provided by Dr. Freudenthal.
'''
from os import read
next_c = 0
limit = 0
def get_char():
global next_c, limit
if next_c == limit:
next_c = 0
limit = read(0, 10... | normal | {
"blob_id": "67ac5d82bc37b67cfdae73b6667b73b70ed33cfb",
"index": 8868,
"step-1": "<mask token>\n\n\ndef get_char():\n global next_c, limit\n if next_c == limit:\n next_c = 0\n limit = read(0, 100)\n if limit == 0:\n return ''\n if next_c >= len(limit) - 1:\n return... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class MagicBoxDHT22(object):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class MagicBoxDHT22(object):
<|reserved_special_token_0|>
def __init__(self):
self.pi = pigpio.pi()
self.s... | flexible | {
"blob_id": "179b07870d656fb24b73d8b0a1f76ffed08aa5c2",
"index": 9665,
"step-1": "<mask token>\n\n\nclass MagicBoxDHT22(object):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass MagicBoxDHT22(object):\n <mask token>\n\n def __init__(self):\n self.pi = pigpio.pi()\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def run():
torch.manual_seed(1729)
""" Setup """
args = parse()
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
print(device)
""" Dataset """
train_dataset = AddTwoDataSet(N=args.N_train, seq_length=args.seq_length)
test_dataset = Ad... | flexible | {
"blob_id": "fe1a9804862942491b11b9baceecd37bf628fbb8",
"index": 8732,
"step-1": "<mask token>\n\n\ndef run():\n torch.manual_seed(1729)\n \"\"\" Setup \"\"\"\n args = parse()\n device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')\n print(device)\n \"\"\" Dataset \"\"\"\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def digits(x):
return set(int(d) for d in str(x))
<|reserved_special_token_0|>
def euler052():
multiples = range(2, 7)
for i in itertools.count(10 ** 5):
if same_digits_as_multiples(i, multiples):
return i
<|reserved_special_token_0|>
<|reserved_spe... | flexible | {
"blob_id": "2ec8b9a92f8dd42faf99f0cd569ebf356e12c1d6",
"index": 8042,
"step-1": "<mask token>\n\n\ndef digits(x):\n return set(int(d) for d in str(x))\n\n\n<mask token>\n\n\ndef euler052():\n multiples = range(2, 7)\n for i in itertools.count(10 ** 5):\n if same_digits_as_multiples(i, multiples)... | [
2,
3,
4,
5,
6
] |
class Solution:
def isUgly(self, num):
if num == 0:
return False
for n in [2, 3, 5]:
while num % n == 0:
num = num / n
return num == 1
a = Solution()
print(a.isUgly(14))
print(a.isUgly(8))
print(a.isUgly(6))
print(a.isUgly(0))
| normal | {
"blob_id": "d39cc2dbbc83869e559f8355ceba5cf420adea5e",
"index": 1662,
"step-1": "class Solution:\n <mask token>\n\n\n<mask token>\n",
"step-2": "class Solution:\n\n def isUgly(self, num):\n if num == 0:\n return False\n for n in [2, 3, 5]:\n while num % n == 0:\n ... | [
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print('show', t.root.show())
print('sum', t.root.sum())
print('find 3', t.root.find(3) != False)
print('evens', t.root.evens())
print('min depth', t.root.min_depth())
<|reserved_special_token_1|>
<|reserved_special_token_0|>
t ... | flexible | {
"blob_id": "21a7fd5148f73ac47adafc9d5c2361ebe318ae59",
"index": 2842,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('show', t.root.show())\nprint('sum', t.root.sum())\nprint('find 3', t.root.find(3) != False)\nprint('evens', t.root.evens())\nprint('min depth', t.root.min_depth())\n",
"step-3": ... | [
0,
1,
2,
3
] |
from datetime import *
dd=int(input("enter number day: "))
nn=int(datetime.now().strftime("%w"))+1
# print(dd)
# print(nn)
print((datetime.now().date())+(timedelta(days=dd-nn)))
| normal | {
"blob_id": "d3342507cb1966e14380ff28ae12b5c334abd20a",
"index": 5430,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(datetime.now().date() + timedelta(days=dd - nn))\n",
"step-3": "<mask token>\ndd = int(input('enter number day: '))\nnn = int(datetime.now().strftime('%w')) + 1\nprint(datetime.no... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def greet(name):
hostname = subprocess.check_output('hostname').decode('utf-8')[:-1]
return "Hello, {}! I'm {}#{}.".format(name, hostname, os.getppid())
<|reserved_special_token_1|>
import os, subprocess
def greet(n... | flexible | {
"blob_id": "9bd55a2f224acfa2cb34d0ca14a25e8864d644b3",
"index": 5250,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef greet(name):\n hostname = subprocess.check_output('hostname').decode('utf-8')[:-1]\n return \"Hello, {}! I'm {}#{}.\".format(name, hostname, os.getppid())\n",
"step-3": "i... | [
0,
1,
2,
3
] |
import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import KFold
import keras
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers.core import Dense,Activation,Dropout
from keras.optimizers import SGD,Adam,RMSprop
from keras.utils import np_utils
x_train=n... | normal | {
"blob_id": "5b919bde9f4fe1da867695ece58f151abb9b70fb",
"index": 1492,
"step-1": "import numpy as np\nimport matplotlib.pyplot as plt\nfrom sklearn.model_selection import KFold\nimport keras\nfrom keras.datasets import mnist\nfrom keras.models import Sequential\nfrom keras.layers.core import Dense,Activation,Dro... | [
0
] |
<|reserved_special_token_0|>
class DegreeCourseDetailView(APIView):
def get(self, request, pk, *args, **kwargs):
response = {'code': 100, 'data': None, 'error': None}
try:
degree_course = models.DegreeCourse.objects.filter(id=pk).first()
ser = DegreeCourseSerializer(degree... | flexible | {
"blob_id": "2b3f8b1ac4735785683c00f6e6ced85d201de53f",
"index": 8567,
"step-1": "<mask token>\n\n\nclass DegreeCourseDetailView(APIView):\n\n def get(self, request, pk, *args, **kwargs):\n response = {'code': 100, 'data': None, 'error': None}\n try:\n degree_course = models.DegreeCou... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
from fixate.reporting.csv import register_csv, unregister_csv
| flexible | {
"blob_id": "c70db0fc9d98657e318ecab7eb8af60cc2b19a2c",
"index": 4145,
"step-1": "<mask token>\n",
"step-2": "from fixate.reporting.csv import register_csv, unregister_csv\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
<|reserved_special_token_0|>
def intro():
print(
"""
####### ####### ####### # #######
# # #### # ## #### # #### ###### ## #
# # # # # # # # # # # # # ... | flexible | {
"blob_id": "11259c92b005a66e5f3c9592875f478df199c813",
"index": 6993,
"step-1": "<mask token>\n\n\ndef intro():\n print(\n \"\"\"\n####### ####### ####### # ####### \n # # #### # ## #### # #### ###### ##... | [
6,
7,
8,
9,
10
] |
# -*- coding: utf-8 -*-
#!/usr/bin/env python
from subprocess import call
def query_DB_satellites(outputpath="../data/", user="anonimo", passwd="secreto"):
"""
Queries the multidark database to extract all the haloes in the box within a ID range.
The output is stored as an ascii (CSV) file.
"""
#... | normal | {
"blob_id": "f1021bfbf11886a01a84033b880d648c3286856b",
"index": 4311,
"step-1": "# -*- coding: utf-8 -*-\n#!/usr/bin/env python\nfrom subprocess import call\n\n\ndef query_DB_satellites(outputpath=\"../data/\", user=\"anonimo\", passwd=\"secreto\"):\n \"\"\"\n Queries the multidark database to extract all... | [
0
] |
class Helper:
def __init__(self):
self.commands = ["help",
"lottery",
"poll",
"polling",
"prophecy",
"roll",
"team",
"ub"]
... | normal | {
"blob_id": "fdf76ff20260c25d95a9bf751fa78156071a7825",
"index": 7487,
"step-1": "class Helper:\n <mask token>\n <mask token>\n\n def display_command(self, command):\n if command not in self.commands:\n return \"That command doesn't exist :/\"\n result = f'__**Command: {command[... | [
2,
3,
4,
5,
6
] |
import torch
import re
import sys
import os
import shutil
import filecmp
import numpy as np
from collections import defaultdict
from shutil import copyfile
sys.path.append('../')
class BoardParser:
def __init__(self):
self.file = open('../board_output', 'rb')
self.data = None
def update(se... | normal | {
"blob_id": "3668e8009dca4ea261bdfbd325331c338fdac5a9",
"index": 627,
"step-1": "<mask token>\n\n\nclass StatusParser:\n\n def __init__(self):\n self.board = np.memmap('../tmp/board', mode='r', dtype=np.int8,\n shape=(20, 10))\n self.combo = np.memmap('../tmp/combo', mode='r', dtype=n... | [
11,
12,
13,
15,
17
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@measure_time_of_func
def fib(n):
sequence = [1, 1]
for i in range(2, n, 1):
sequence.append(sequence[i - 1] + sequence[i - 2])
return sequence
<|reserved_special_token_1|>
<|reserved_special_token_0|>
d... | flexible | {
"blob_id": "2c39660da8fe839c4634cd73ce069acc7b1b29b4",
"index": 51,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@measure_time_of_func\ndef fib(n):\n sequence = [1, 1]\n for i in range(2, n, 1):\n sequence.append(sequence[i - 1] + sequence[i - 2])\n return sequence\n",
"step-3": ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in range(N):
x[i], y[i], z[i] = (int(x) for x in input().split())
<|reserved_special_token_0|>
for sx in (-1, 1):
for sy in (-1, 1):
for sz in (-1, 1):
_x, _y, _z = sx * x, sy * y, sz * z
... | flexible | {
"blob_id": "af40239551709eff02b8a1f034583ab80845d1d7",
"index": 1532,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(N):\n x[i], y[i], z[i] = (int(x) for x in input().split())\n<mask token>\nfor sx in (-1, 1):\n for sy in (-1, 1):\n for sz in (-1, 1):\n _x, _y, _z ... | [
0,
1,
2,
3
] |
from django.test import TestCase, Client
from django.contrib.auth.models import User
from blog.factories import BlogPostFactory, TagFactory
from blog.models import BlogPost
from faker import Factory
faker = Factory.create()
class ServicesTests(TestCase):
def setUp(self):
self.tag = TagFactory()
... | normal | {
"blob_id": "c9d25460022bb86c821600dfaed17baa70531c9f",
"index": 7125,
"step-1": "<mask token>\n\n\nclass ServicesTests(TestCase):\n\n def setUp(self):\n self.tag = TagFactory()\n self.blog_post = BlogPostFactory()\n self.client = Client()\n self.user = User.objects.create_user(use... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
class ProfileInline(admin.StackedInline):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class UserAdmin(BaseUserAdmin):
inlines = ProfileInline,
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_tok... | flexible | {
"blob_id": "a9f3d5f11a9f2781571029b54d54b41d9f1f83b3",
"index": 592,
"step-1": "<mask token>\n\n\nclass ProfileInline(admin.StackedInline):\n <mask token>\n <mask token>\n <mask token>\n\n\nclass UserAdmin(BaseUserAdmin):\n inlines = ProfileInline,\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n... | [
3,
4,
5,
6,
7
] |
#!/software/python-2.7-2014q3-el6-x86_64/bin/python
import SNANA_Reader as simread
import REAL_Reader as dataread
#import astropy.cosmology as cosmo
import traceback
import scipy
import scipy.stats as stats
import numpy as np
import matplotlib.pyplot as plt
plt.switch_backend('Agg')
#import Cosmology
import scipy.stats... | normal | {
"blob_id": "27976e9f7fbe030910b3595ea1a13e0e505183e5",
"index": 7131,
"step-1": "#!/software/python-2.7-2014q3-el6-x86_64/bin/python\nimport SNANA_Reader as simread\nimport REAL_Reader as dataread\n#import astropy.cosmology as cosmo\nimport traceback\nimport scipy\nimport scipy.stats as stats\nimport numpy as n... | [
0
] |
import torch
from torch import nn
from torch.nn import functional as F
import torchvision
import math
from torchvision.models.resnet import Bottleneck
from dataset import load_image, load_text, ALPHABET, MAX_LEN
class ResNetFeatures(nn.Module):
def __init__(self, pretrained=True):
super().__init__()
... | normal | {
"blob_id": "79522db1316e4a25ab5a598ee035cf9b9a9a9411",
"index": 3511,
"step-1": "<mask token>\n\n\nclass PositionalEncoding(nn.Module):\n\n def __init__(self, d_model, max_len, dropout=0.1):\n super(PositionalEncoding, self).__init__()\n self.dropout = nn.Dropout(p=dropout)\n pe = torch.... | [
12,
18,
21,
23,
24
] |
import time
import optparse
from IPy import IP as IPTEST
ttlValues = {}
THRESH = 5
def checkTTL(ipsrc,ttl):
if IPTEST(ipsrc).iptype() == 'PRIVATE':
return
if not ttlValues.has_key(ipsrc):
pkt = srl(IP(dst=ipsrc) / TCMP(),retry=0,timeout=0,verbose=0)
ttlValues[ipsrc] = pkt.ttl
... | normal | {
"blob_id": "7081211336793bfde60b5c922f6ab9461a475949",
"index": 1616,
"step-1": "import time\r\nimport optparse\r\nfrom IPy import IP as IPTEST\r\nttlValues = {}\r\nTHRESH = 5\r\ndef checkTTL(ipsrc,ttl):\r\n if IPTEST(ipsrc).iptype() == 'PRIVATE':\r\n return\r\n if not ttlValues.has_key(ipsrc):\r\n... | [
0
] |
from collections import defaultdict
from mask import Mask
from utils import bits_to_decimal
def get_program(filename):
program = []
mask = None
with open(filename, 'r') as f:
for line in f:
line = line[:-1]
if 'mask' in line:
if mask is not None:
... | normal | {
"blob_id": "56e8cdec854b3b7a2f925e70d7d59a73b76f9952",
"index": 9340,
"step-1": "<mask token>\n\n\ndef get_program(filename):\n program = []\n mask = None\n with open(filename, 'r') as f:\n for line in f:\n line = line[:-1]\n if 'mask' in line:\n if mask is n... | [
1,
3,
4,
5,
6
] |
#Sample Python Code
print("Different Code!!!")
#print("Hello World!")
| normal | {
"blob_id": "1e24952006afebb7bf10a83077fc4effd5cc9c58",
"index": 1301,
"step-1": "<mask token>\n",
"step-2": "print('Different Code!!!')\n",
"step-3": "#Sample Python Code\nprint(\"Different Code!!!\")\n#print(\"Hello World!\")\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
from math import *
import math
import re
import numpy as np
class atom:
aid=0
atype=''
x=0.0
y=0.0
z=0.0
rid=0
rtype=''
model=[]
chainid=''
def getlen(atm1,atm2):
dist=sqrt(pow(atm1.x-atm2.x,2)+pow(atm1.y-atm2.y,2)+pow(atm1.z-atm2.z,2))
return dist
def ... | normal | {
"blob_id": "78123c806e5a8c0cc7511a5024769f8c61621efa",
"index": 9877,
"step-1": "<mask token>\n\n\nclass atom:\n aid = 0\n atype = ''\n x = 0.0\n y = 0.0\n z = 0.0\n rid = 0\n rtype = ''\n model = []\n chainid = ''\n\n\ndef getlen(atm1, atm2):\n dist = sqrt(pow(atm1.x - atm2.x, 2) ... | [
5,
6,
8,
9,
10
] |
#!/usr/bin/env python
from postimg import postimg
import argparse
import pyperclip
import json
def main(args):
if not args.quiet:
print("Uploading.....")
resp = postimg.Imgur(args.img_path).upload()
if not resp['success']:
if not args.quiet:
print(json.dumps(resp, sort_keys=True,... | normal | {
"blob_id": "705755340eef72470fc982ebd0004456469d23e4",
"index": 4859,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main(args):\n if not args.quiet:\n print('Uploading.....')\n resp = postimg.Imgur(args.img_path).upload()\n if not resp['success']:\n if not args.quiet:\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(sql)
try:
cursor.execute(sql)
db.commit()
except:
db.rollback()
db.close()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
db = pymysql.connect(host='localhost', port=3306, user='root', password=
... | flexible | {
"blob_id": "8566e30a6450a72a0e441155321bd03363944b5a",
"index": 8236,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(sql)\ntry:\n cursor.execute(sql)\n db.commit()\nexcept:\n db.rollback()\ndb.close()\n",
"step-3": "<mask token>\ndb = pymysql.connect(host='localhost', port=3306, user='r... | [
0,
1,
2,
3,
4
] |
import os
import numpy as np
import matplotlib.pyplot as plt
from scipy.spatial import distance
with open('input.txt', 'r') as f:
data = f.read()
res = [i for i in data.splitlines()]
print(res)
newHold = []
for line in res:
newHold.append((tuple(int(i) for i in line.split(', '))))
print(newHold)
mapper = np.... | normal | {
"blob_id": "47476fbb78ca8ce14d30bf226795bbd85b5bae45",
"index": 6939,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('input.txt', 'r') as f:\n data = f.read()\n<mask token>\nprint(res)\n<mask token>\nfor line in res:\n newHold.append(tuple(int(i) for i in line.split(', ')))\nprint(newHol... | [
0,
1,
2,
3,
4
] |
def findLCS(read, cassette, rIndex, cIndex, cassettes):
LCS = ''
while True:
if read[rIndex] == cassette[cIndex]:
LCS += read[rIndex]
rIndex = rIndex + 1
cIndex = cIndex + 1
else:
break
return LCS
<|reserved_special_token_0|>
def checkGap(L... | flexible | {
"blob_id": "5cec9e82aa994d07e25d8356a8218fc461bb8b4e",
"index": 4728,
"step-1": "def findLCS(read, cassette, rIndex, cIndex, cassettes):\n LCS = ''\n while True:\n if read[rIndex] == cassette[cIndex]:\n LCS += read[rIndex]\n rIndex = rIndex + 1\n cIndex = cIndex + 1... | [
4,
5,
6,
7,
9
] |
# Generated by Django 2.1.2 on 2018-10-26 12:40
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('core', '0007_auto_20181010_0852'),
('accounts', '0004_playercards'),
]
operations = [
migrations.RenameModel(
old_name='PlayerCa... | normal | {
"blob_id": "59596c69df6a2c453fd147a9c8a2c7d47ed79fb3",
"index": 3222,
"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 = [('core', '000... | [
0,
1,
2,
3,
4
] |
# coding=UTF-8
#!/usr/bin/env python
# for models.py
from django.db import models
from django.db.models import F, Q, Sum, Avg
from django.db import transaction
from django.contrib.contenttypes.models import ContentType
from django.contrib.contenttypes import generic
from django.contrib.sites.models import Site
# from ... | normal | {
"blob_id": "d551cab1856fbdb91918f9171d5c02b8dab84aba",
"index": 8223,
"step-1": "<mask token>\n",
"step-2": "from django.db import models\nfrom django.db.models import F, Q, Sum, Avg\nfrom django.db import transaction\nfrom django.contrib.contenttypes.models import ContentType\nfrom django.contrib.contenttype... | [
0,
1,
2
] |
#!/usr/bin/env python2
## -*- coding: utf-8 -*-
import sys
def sx(bits, value):
sign_bit = 1 << (bits - 1)
return (value & (sign_bit - 1)) - (value & sign_bit)
SymVar_0 = int(sys.argv[1])
ref_263 = SymVar_0
ref_278 = ref_263 # MOV operation
ref_5710 = ref_278 # MOV operation
ref_5786 = ref_5710 # MOV operati... | normal | {
"blob_id": "22d3ff0fca9a5537da37bfbc968d83ec6f919752",
"index": 5162,
"step-1": "#!/usr/bin/env python2\n## -*- coding: utf-8 -*-\n\nimport sys\n\ndef sx(bits, value):\n sign_bit = 1 << (bits - 1)\n return (value & (sign_bit - 1)) - (value & sign_bit)\n\nSymVar_0 = int(sys.argv[1])\nref_263 = SymVar_0\nre... | [
0
] |
import os
import io
import time
import multiprocessing as mp
from queue import Empty
import picamera
from PIL import Image
from http import server
import socketserver
import numpy as np
import cv2
class QueueOutputMJPEG(object):
def __init__(self, queue, finished):
self.queue = queue
self.finished ... | normal | {
"blob_id": "ffd034eb5f0482c027dcc344bddb01b90249511c",
"index": 3198,
"step-1": "<mask token>\n\n\nclass QueueOutputMJPEG(object):\n\n def __init__(self, queue, finished):\n self.queue = queue\n self.finished = finished\n self.stream = io.BytesIO()\n\n def write(self, buf):\n i... | [
12,
13,
16,
17,
18
] |
S = input()
T = int(input())
B = abs(S.count('L') - S.count('R')) + abs(S.count('U') - S.count('D'))
print(B + S.count('?') if T == 1 else max(B - S.count('?'), (B - S.count(
'?')) % 2))
| normal | {
"blob_id": "ce263424b856c07e04bd66cda7ebda646583b1fe",
"index": 5962,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(B + S.count('?') if T == 1 else max(B - S.count('?'), (B - S.count(\n '?')) % 2))\n",
"step-3": "S = input()\nT = int(input())\nB = abs(S.count('L') - S.count('R')) + abs(S.cou... | [
0,
1,
2
] |
# Differences between Python 2 and Python 3
print "hello world"
# become
print("hello world") # in Pyton 3
raw_input('What is your name?')
# become
input('What is your name?') # in Python 3
# the language of Python
# Reserved words
and
as
assert
break
class
continue
def
del
elif
else
except
finally
for
from
g... | normal | {
"blob_id": "40471bfcf05ef45fbb070bbb5bfd4c425fe59b1c",
"index": 7523,
"step-1": "# Differences between Python 2 and Python 3\n\nprint \"hello world\" \n # become \nprint(\"hello world\") # in Pyton 3\n\nraw_input('What is your name?') \n# become\ninput('What is your name?') # in Python 3\n\n\n# the language of... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
clf.fit(X, y)
<|reserved_special_token_0|>
print('prediction = ' + str(prediction) + ', actual = ' + str(actual))
plt.matshow(digits.images[-1])
plt.show()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
digits = data... | flexible | {
"blob_id": "0d98472d1c04bfc52378aa6401a47d96582696a2",
"index": 4046,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nclf.fit(X, y)\n<mask token>\nprint('prediction = ' + str(prediction) + ', actual = ' + str(actual))\nplt.matshow(digits.images[-1])\nplt.show()\n",
"step-3": "<mask token>\ndigits = dat... | [
0,
1,
2,
3,
4
] |
import queue
import copy
import heapq
import sys
sys.setrecursionlimit(100000)
dx =[1,0,0,-1]
dy=[0,1,-1,0]
class PriorityQueue:
pq=[]
elements={}
task=0
def insert(self , priority,x_val,y_val):
entry = [priority, self.task,x_val,y_val]
self.elements[self.task]=entry
heapq.hea... | normal | {
"blob_id": "6192099bdecffd9ce3576f4034567478145115a0",
"index": 1291,
"step-1": "<mask token>\n\n\nclass PriorityQueue:\n pq = []\n elements = {}\n task = 0\n\n def insert(self, priority, x_val, y_val):\n entry = [priority, self.task, x_val, y_val]\n self.elements[self.task] = entry\n ... | [
12,
17,
18,
23,
25
] |
# -*- coding: utf-8 -*-
from django.test import TestCase
from ..printer import Printer
class TestSunlumoProjectPrinter(TestCase):
def test_printer(self):
sl_prj = Printer('./sunlumo_mapserver/test_data/test_sunlumo.qgs')
tmpFile = '/tmp/printtmp'
sl_prj.printToPdf({
'tmpFile... | normal | {
"blob_id": "5e0cba6952cdc677c640a0df325426ffc89189cd",
"index": 658,
"step-1": "<mask token>\n\n\nclass TestSunlumoProjectPrinter(TestCase):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass TestSunlumoProjectPrinter(TestCase):\n\n def test_printer(self):\n sl_prj = Printer(... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
with ADBConnection('a95x01', domain='dohmens.local') as conn:
print(conn.conn)
<|reserved_special_token_1|>
from adb_local_installer.connection import ADBConnection
with ADBConnection('a95x01', domain='dohmens.local') as co... | flexible | {
"blob_id": "6f583fde0eeab84984629b795e428300503a49c9",
"index": 9852,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith ADBConnection('a95x01', domain='dohmens.local') as conn:\n print(conn.conn)\n",
"step-3": "from adb_local_installer.connection import ADBConnection\nwith ADBConnection('a95x01',... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
sys.path.insert(0, '/path/to/mm-api/python')
sys.path.insert(0, '/path/to/mm-api/distrib/python_osx')
print(sys.path)
<|reserved_special_token_0|>
remote.connect()
<|reserved_special_token_0|>
remote.shutdown()
<|reserved_specia... | flexible | {
"blob_id": "bf6d1ddf66bc0d54320c0491e344925a5f507df7",
"index": 861,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsys.path.insert(0, '/path/to/mm-api/python')\nsys.path.insert(0, '/path/to/mm-api/distrib/python_osx')\nprint(sys.path)\n<mask token>\nremote.connect()\n<mask token>\nremote.shutdown()\n",... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def run_train(model_name, base_trainer, X, y):
cv = StratifiedKFold(n_splits=3, shuffle=True, random_state=config.SEED)
trainer = RSACVTrainer(cv, base_trainer)
trainer.fit(X=X, y=y, random_state=config.SEED, num_seed=config.NUM_SEED)
models = trainer.get_model()
dump_... | flexible | {
"blob_id": "23f0ba622097eb4065337ea77ea8104a610d6857",
"index": 6317,
"step-1": "<mask token>\n\n\ndef run_train(model_name, base_trainer, X, y):\n cv = StratifiedKFold(n_splits=3, shuffle=True, random_state=config.SEED)\n trainer = RSACVTrainer(cv, base_trainer)\n trainer.fit(X=X, y=y, random_state=co... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
class SudukoBoard:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class Cell:
def __init__(self, board, row, col):
self._values = [None] * SudukoBoard.sz
self._value = None
self.sets = []
self.row = row
... | flexible | {
"blob_id": "44d9e628e31cdb36088b969da2f6e9af1b1d3efe",
"index": 7841,
"step-1": "<mask token>\n\n\nclass SudukoBoard:\n <mask token>\n <mask token>\n\n\n class Cell:\n\n def __init__(self, board, row, col):\n self._values = [None] * SudukoBoard.sz\n self._value = None\n ... | [
6,
8,
9,
10,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
driver.implicitly_wait(10)
driver.maximize_window()
driver.get('http://demo.automationtesting.in/Register.html')
<|reserved_special_token_0|>
actions.move_to_element(interactions).move_to_element(drag).move_to_element(
static)... | flexible | {
"blob_id": "1a1a217b382f3c58c6c4cd3c1c3f556ae945f5a7",
"index": 7850,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndriver.implicitly_wait(10)\ndriver.maximize_window()\ndriver.get('http://demo.automationtesting.in/Register.html')\n<mask token>\nactions.move_to_element(interactions).move_to_element(dra... | [
0,
1,
2,
3,
4
] |
import os
import pickle
from matplotlib import pyplot as plt
cwd = os.path.join(os.getcwd(), 'DEDA_2020SS_Crypto_Options_RND_HD',
'CrypOpt_RiskNeutralDensity')
data_path = os.path.join(cwd, 'data') + '/'
day = '2020-03-11'
res = pickle.load(open(data_path + 'results_{}.pkl'.format(day), 'rb'))
... | normal | {
"blob_id": "a01f812584e4cee14c9fe15e9fb6ede4ae3e937a",
"index": 4953,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor key, ax in zip(sorted(res), axes.flatten()):\n print(key, ax)\n ax.plot(res[key]['df'].M, res[key]['df'].iv, '.')\n ax.plot(res[key]['M'], res[key]['smile'])\n ax.text(0.9... | [
0,
1,
2,
3,
4
] |
#! /usr/bin/python3
import pprint
import tkinter as tk
from tkinter import messagebox
from PIL import Image
from tkinter import *
from prettytable import PrettyTable
import ttk
import os
import subprocess
import mysql.connector
from datetime import datetime
import time
db=mysql.connector.connect(host='localhost',user... | normal | {
"blob_id": "9f3fcc6e097e37479e3ccf1385f20d70d7c3b6c7",
"index": 8228,
"step-1": "<mask token>\n\n\ndef First_page(root):\n global T1, T2, T3\n frame = Frame(root, height=500, width=800, bg='ivory')\n frame.pack()\n label = Label(root, text='WELCOME TO AGRI MARKET', font=(\n 'Times new roman',... | [
46,
47,
52,
53,
66
] |
# -*- coding: utf-8 -*-
from django.shortcuts import render_to_response
from django.views.generic import TemplateView
from django.core.context_processors import csrf
from django.template import RequestContext
from django.views.generic import DetailView, ListView , CreateView , UpdateView , DeleteView , FormView , View
... | normal | {
"blob_id": "8a3694f96203ae8d1e306e1c9a5a47bfe26abeb1",
"index": 5178,
"step-1": "<mask token>\n\n\nclass ListContact(ListView):\n model = Contact\n",
"step-2": "<mask token>\n\n\nclass AddContact(CreateView):\n model = Contact\n success_url = reverse_lazy('home')\n\n\nclass ListContact(ListView):\n ... | [
2,
4,
5,
6,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def initialize(x: object) ->object:
data = []
starttimeinmillis = int(round(time.time()))
c = 0
file1 = sys.argv[x]
with open(file1) as datafile:
for line in datafile:
c += 1
i... | flexible | {
"blob_id": "91f3aae4e74f371cadaf10385510bc1c80063f55",
"index": 7765,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef initialize(x: object) ->object:\n data = []\n starttimeinmillis = int(round(time.time()))\n c = 0\n file1 = sys.argv[x]\n with open(file1) as datafile:\n for... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class server:
def __init__(self):
self.commandSock = socket.socket()
self.commandPort = 8080
self.transferSock = socket.socket()
self.transferPort = 8088
self.chatSock = socket.socket()
self.chatPort = 8085
self.host = ''
... | flexible | {
"blob_id": "4736f4e06f166b3c3fd8379a2021eb84a34fcbd3",
"index": 6099,
"step-1": "<mask token>\n\n\nclass server:\n\n def __init__(self):\n self.commandSock = socket.socket()\n self.commandPort = 8080\n self.transferSock = socket.socket()\n self.transferPort = 8088\n self.ch... | [
7,
9,
11,
15,
16
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
main()
<|reserved_special_token_1|>
from .parapred import main
main()
| flexible | {
"blob_id": "96cb2754db2740767dfb145078ed17969e85123d",
"index": 843,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nmain()\n",
"step-3": "from .parapred import main\nmain()\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
import json
import os
import time
import urllib.request
import pandas as pd
from lib.db.dbutils import (
check_blacklisted,
check_ticker_exists,
get_db,
update_blacklisted,
)
def get_data(url, delay=20):
while True:
df = json.loads(urllib.request.urlopen(url).read())
if df.get("N... | normal | {
"blob_id": "3c8e6a93c4d5616b9199cf473d298bfa2dc191af",
"index": 9971,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef grab_a_ticker(symbol='MSFT', apiKey=None):\n if apiKey is None:\n apiKey = os.environ.get('API_KEY')\n if not check_ticker_exists(symbol) and not check_blacklisted(sy... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(variable_1, variable_2, variable_3, sep=', ')
print(variable_4, variable_5, sep=', ', end='!\n')
<|reserved_special_token_0|>
print(variable_4 + ', ' + user_name + '! ' + 'Ваш возраст: ' + user_age)
<|reserved_special_toke... | flexible | {
"blob_id": "12ca9a81574d34d1004ac9ebcb2ee4b31d7171e2",
"index": 5623,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(variable_1, variable_2, variable_3, sep=', ')\nprint(variable_4, variable_5, sep=', ', end='!\\n')\n<mask token>\nprint(variable_4 + ', ' + user_name + '! ' + 'Ваш возраст: ' + user... | [
0,
1,
2
] |
#!/usr/bin/env python
import requests
import re
def get_content(url):
paste_info = {
'site': 'pomf',
'url': url
}
m = re.match('^.*/([0-9a-zA-Z]+)\.([a-zA-Z0-9]+)$',url)
response = requests.get(url)
if response.status_code != 200:
return
paste_info['ext'] = m.group(2)
... | normal | {
"blob_id": "78a6202f501bc116e21e98a3e83c9e3f8d6402b4",
"index": 3981,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef get_content(url):\n paste_info = {'site': 'pomf', 'url': url}\n m = re.match('^.*/([0-9a-zA-Z]+)\\\\.([a-zA-Z0-9]+)$', url)\n response = requests.get(url)\n if respons... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def check_duplicate(fp1, fp2):
"""takes two files, does a diff on them, returns True if same"""
try:
subprocess.check_output(['diff', fp1, fp2])
return True
except subprocess.CalledProcessError:
return False
def identify_uniq_ads(session_results):
... | flexible | {
"blob_id": "fdae984f7cf5e1c20dee197d3f2518a0c7c38bdc",
"index": 8085,
"step-1": "<mask token>\n\n\ndef check_duplicate(fp1, fp2):\n \"\"\"takes two files, does a diff on them, returns True if same\"\"\"\n try:\n subprocess.check_output(['diff', fp1, fp2])\n return True\n except subprocess... | [
10,
14,
15,
16,
18
] |
<|reserved_special_token_0|>
class BotModel(nn.Module):
def __init__(self, dim, statedim, rel_count):
super(BotModel, self).__init__()
self.dim = dim
self.hid2state = nn.Linear(dim * 3 + statedim * 2, statedim)
self.state2probL = nn.ModuleList([nn.Linear(statedim, 7) for i in
... | flexible | {
"blob_id": "699410536c9a195024c5abbcccc88c17e8e095e3",
"index": 6003,
"step-1": "<mask token>\n\n\nclass BotModel(nn.Module):\n\n def __init__(self, dim, statedim, rel_count):\n super(BotModel, self).__init__()\n self.dim = dim\n self.hid2state = nn.Linear(dim * 3 + statedim * 2, statedi... | [
7,
9,
10,
11,
12
] |
<|reserved_special_token_0|>
@app.before_request
def create_session():
g.session = scoped_session(DBSession)
<|reserved_special_token_0|>
def check_sig(payload, sig):
pk = payload['sender_pk']
platform = payload['platform']
payload_json = json.dumps(payload)
result = False
if platform == '... | flexible | {
"blob_id": "d9bdf466abecb50c399556b99b41896eead0cb4b",
"index": 2959,
"step-1": "<mask token>\n\n\n@app.before_request\ndef create_session():\n g.session = scoped_session(DBSession)\n\n\n<mask token>\n\n\ndef check_sig(payload, sig):\n pk = payload['sender_pk']\n platform = payload['platform']\n pay... | [
7,
8,
11,
12,
13
] |
"""
Write two functions:
1. `to_list()`, which converts a number to an integer list of its digits.
2. `to_number()`, which converts a list of integers back to its number.
### Examples
to_list(235) ➞ [2, 3, 5]
to_list(0) ➞ [0]
to_number([2, 3, 5]) ➞ 235
to_number([0]) ➞ 0
### No... | normal | {
"blob_id": "5cced6d9f5e01b88951059bc89c5d10cfd160f60",
"index": 8826,
"step-1": "\"\"\"\r\n\n\nWrite two functions:\n\n 1. `to_list()`, which converts a number to an integer list of its digits.\n 2. `to_number()`, which converts a list of integers back to its number.\n\n### Examples\n\n to_list(235) ➞ [2, ... | [
0
] |
class Account:
'''은행계좌를 표현하는 클래스'''
def __init__(self,name,account):
self.name = name
self._balance = amount
def __str__(self):
return '예금주 {}, 잔고 {}'.format(slef.name, self._balance)
def _info(self):
print('\t') | normal | {
"blob_id": "2dc4a4ae8e02e823073b1a9711dbd864a54bab43",
"index": 5072,
"step-1": "class Account:\n '''은행계좌를 표현하는 클래스'''\n \n\n def __init__(self,name,account):\n self.name = name\n self._balance = amount\n\n def __str__(self):\n return '예금주 {}, 잔고 {}'.format(slef.name, self._... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
admin.site.register(JobListing)
admin.site.register(Employer)
<|reserved_special_token_1|>
from django.contrib import admin
from .models import JobListing
from .models import Employer
admin.site.register(JobListing)
admin.site.... | flexible | {
"blob_id": "a96575d507a91472176c99d4d55e2a3bbf8111d1",
"index": 2707,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nadmin.site.register(JobListing)\nadmin.site.register(Employer)\n",
"step-3": "from django.contrib import admin\nfrom .models import JobListing\nfrom .models import Employer\nadmin.site.... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(f'NOW PROCESSING POST ID: {POST_ID}')
<|reserved_special_token_0|>
tts.comment_to_mp3(post_title, './quota.txt', 'titles', 0, randomize=True)
<|reserved_special_token_0|>
for comment in comments_from_post:
tts.comment_to... | flexible | {
"blob_id": "fd57e13269ca00ed5eb05e00bd7999c041141187",
"index": 4256,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(f'NOW PROCESSING POST ID: {POST_ID}')\n<mask token>\ntts.comment_to_mp3(post_title, './quota.txt', 'titles', 0, randomize=True)\n<mask token>\nfor comment in comments_from_post:\n ... | [
0,
1,
2,
3,
4
] |
from covid import FuzzyNet
import numpy as np
import time
if __name__ == '__main__':
# mx1,mx2,mx3,my1,my2,my3, dx1,dx2,dx3,dy1,dy2,dy3, p1,p2,p3,p4,p5,p6,p7,p8,p9, q1,q2,q3,q4,q5,q6,q7,q8,q9, r1,r2,r3,r4,r5,r6,r7,r8,r9
generations = 100
for generation in range(generations):
population = np.rando... | normal | {
"blob_id": "99f50d393e750bd8fa5bee21d99f08d20b9f5fe9",
"index": 9102,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n generations = 100\n for generation in range(generations):\n population = np.random.randint(0, 255, size=(200, 39), dtype=np.uint8)\n print... | [
0,
1,
2,
3
] |
from django.db import connection
from .models import Order
from .models import Package
from .models import DeliveryStatus
from .models import CalcParameters
class DataService:
def __init__(self):
pass
@staticmethod
def get_all_orders():
orders = Order.objects.order_by('-order_date')
... | normal | {
"blob_id": "2e66a31638eb4e619f14a29d5d3847482d207003",
"index": 3996,
"step-1": "<mask token>\n\n\nclass StaticDataDao(type):\n\n @property\n def delivery_statuses(cls):\n if getattr(cls, '_delivery_statuses', None) is None:\n cls._delivery_statuses = list(DeliveryStatus.objects.all())\n... | [
5,
6,
7,
8,
12
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
cv2.namedWindow('st', cv2.WINDOW_NORMAL)
cv2.imshow('st', img)
cv2.imwrite('mes.png', img)
cv2.waitKey(0)
cv2.destroyAllWindows()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
img = cv2.imread('d:\\st.jpg', 0)
cv2.n... | flexible | {
"blob_id": "6b5399effe73d27eade0381f016cd7819a6e104a",
"index": 2466,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ncv2.namedWindow('st', cv2.WINDOW_NORMAL)\ncv2.imshow('st', img)\ncv2.imwrite('mes.png', img)\ncv2.waitKey(0)\ncv2.destroyAllWindows()\n",
"step-3": "<mask token>\nimg = cv2.imread('d:\\... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def RegularGramSchmidt():
while True:
vectors = utility.get_matrix_from_user(5)
if len(vectors) > 0:
calc = RGSC.RegularGramSchmidt()
result_matrix = calc.calc(vectors)
if ... | flexible | {
"blob_id": "b6b3d94db62b47aac9bf78e8224a38ccff9335e3",
"index": 7591,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef RegularGramSchmidt():\n while True:\n vectors = utility.get_matrix_from_user(5)\n if len(vectors) > 0:\n calc = RGSC.RegularGramSchmidt()\n ... | [
0,
1,
2,
3,
4
] |
import retro # pip install gym-retro
import numpy as np # pip install numpy
#import cv2 # pip install opencv-python
import neat # pip install neat-python
import pickle # pip install cloudpickle
import os
import multiprocessing
import cv2
import time
env = retro.make(game='Pong-... | normal | {
"blob_id": "36e350e0d578e169efaafb9e311566d71d6bc59e",
"index": 1438,
"step-1": "<mask token>\n\n\ndef eval_genome(genome, config):\n net = neat.nn.FeedForwardNetwork.create(genome, config)\n env.reset()\n ob, _, _, _ = env.step(env.action_space.sample())\n inx = int(ob.shape[0] / 8)\n iny = int(... | [
3,
4,
5,
6,
7
] |
def main():
# defaults to 0
print a
a = 7
a *= 6
print a
| normal | {
"blob_id": "0527dc2b6fa0fe703b604c6e28fba44fe6def83b",
"index": 1862,
"step-1": "def main():\n # defaults to 0\n print a\n\n a = 7\n a *= 6\n print a\n",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
} | [
0
] |
DATABASE_NAME = "user_db" | normal | {
"blob_id": "8c8bbbc682889c8d79c893f27def76ad70e8bf8d",
"index": 233,
"step-1": "<mask token>\n",
"step-2": "DATABASE_NAME = 'user_db'\n",
"step-3": "DATABASE_NAME = \"user_db\"",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
#!/usr/bin/env python3
"""Shows how to call C code from python"""
__appname__ = "myccalc.py"
__author__ = "Joseph Palmer <joseph.palmer18@imperial.ac.uk>"
__version__ = "0.0.1"
__license__ = "License for this code/"
__date__ = "Dec-2018"
## imports ##
import os
import ctypes
# Load the C library into python - needs t... | normal | {
"blob_id": "12ecfd2750f79fd19355665b6e57c2103a3cac3e",
"index": 4257,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nctypes.cdll.LoadLibrary(so_filepath)\n<mask token>\nprint('The sum of %.1f and %.1f is %.1f' % (x, y, a))\n<mask token>\nprint('Subtracting %.1f from %.1f is %.1f' % (x, y, b))\n",
"ste... | [
0,
1,
2,
3,
4
] |
import os, sys
import json
import paramiko
"""
Copies the credentials.json file locally from robot
"""
def copy_credentials_file(hostname, username, password, src_path, dst_path):
# create ssh connection
ssh_client = paramiko.SSHClient()
ssh_client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh_client.... | normal | {
"blob_id": "27f162f2e350fdb284740bd67f4293535f0ab593",
"index": 8451,
"step-1": "<mask token>\n\n\ndef copy_credentials_file(hostname, username, password, src_path, dst_path):\n ssh_client = paramiko.SSHClient()\n ssh_client.set_missing_host_key_policy(paramiko.AutoAddPolicy())\n ssh_client.connect(hos... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
TRAIN_INPUT_PATH = '~/Projects/competitions/titanic/data/train.csv'
TEST_INPUT_PATH = '~/Projects/competitions/titanic/data/test.csv'
OUTPUT_PATH = 'output/'
TRAIN_VAL_SPLIT = 0.75
RANDOM_SEED = 42
MODEL = 'LOGISTIC_REGRESSION'
LOG_PATH = 'logs/'
<|reserved... | flexible | {
"blob_id": "f1f708f00e05941c9a18a24b9a7556558583c3c7",
"index": 738,
"step-1": "<mask token>\n",
"step-2": "TRAIN_INPUT_PATH = '~/Projects/competitions/titanic/data/train.csv'\nTEST_INPUT_PATH = '~/Projects/competitions/titanic/data/test.csv'\nOUTPUT_PATH = 'output/'\nTRAIN_VAL_SPLIT = 0.75\nRANDOM_SEED = 42\... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@contextmanager
def temp_context() ->Generator[Path, None, None]:
origin = Path().absolute()
try:
with tempfile.TemporaryDirectory(ignore_cleanup_errors=True
) as tempdir:
os.chdir(tempdir... | flexible | {
"blob_id": "3c2a611fd001f145703853f5ecfe70d0e93844e4",
"index": 4665,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@contextmanager\ndef temp_context() ->Generator[Path, None, None]:\n origin = Path().absolute()\n try:\n with tempfile.TemporaryDirectory(ignore_cleanup_errors=True\n ... | [
0,
1,
2,
3
] |
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