code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
from PrStatusWorker import PrStatusWorker
import threading
def initialize_worker():
worker = PrStatusWorker()
worker.start_pr_status_polling()
print("Starting the PR status monitor worker thread...")
worker_thread = threading.Thread(target=initialize_worker, name="pr_status_worker")
worker_thread.start()
| normal | {
"blob_id": "4b5f58d471b05428caef3ca7a3bdc0d30a7e3881",
"index": 5265,
"step-1": "<mask token>\n\n\ndef initialize_worker():\n worker = PrStatusWorker()\n worker.start_pr_status_polling()\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef initialize_worker():\n worker = PrStatusWorker()\n worke... | [
1,
2,
3,
4,
5
] |
# Code Rodrigo
'''
This script, basically generates all he possible combinations
to be analyzed according to the Dempster Shafer Theory.
It requires to define beforehand, the combination of variables
that lead to the higher and lower bound for a given combination
of random sets, via the sensitivity analysis
'''
impo... | normal | {
"blob_id": "4b44f4343da1677b5436ec2b153e573fda3c0cee",
"index": 2280,
"step-1": "<mask token>\n\n\ndef read_input_RS():\n low = np.loadtxt('LowerArray.csv', delimiter=',', skiprows=1)\n lower_bound = np.ravel(low)\n upper_bound = np.ravel(np.transpose(np.loadtxt('UpperArray.csv',\n delimiter=','... | [
2,
3,
4,
5,
6
] |
n, x0, y0 = list(map(int, input().split()))
cards = [y0] + list(map(int, input().split()))
# yの手持ちはゲームに関与するため、リストに加えてしまう
xs = [[-1] * (n+1) for i in range(n+1)]
ys = [[-1] * (n+1) for i in range(n+1)]
#xs[i][j] = xの手番で、xがcards[i]を持ちyがcards[j]を持っているとき(i<j)の最善スコア
#ys[i][j] = yの手番で、xがcards[j]を持ちyがcards[i]を持っているとき(i<j)の... | normal | {
"blob_id": "81b9fc78d92fdc4392cb71a77fdfd354ff950ae3",
"index": 6153,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(n + 1):\n xs[i][-1] = abs(cards[-1] - cards[i])\n ys[i][-1] = abs(cards[-1] - cards[i])\nfor j in range(n - 1, -1, -1):\n xs_temp = max(ys[j][j + 1:n + 1])\n ys... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
web = Blueprint('web', __name__)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
from flask import Blueprint
web = Blueprint('web', __name__)
from app.web import auth
from app.web import user
from app.web import book
| flexible | {
"blob_id": "02182f0379e58b64bbe17cc5f433e8aae7814976",
"index": 196,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nweb = Blueprint('web', __name__)\n<mask token>\n",
"step-3": "from flask import Blueprint\nweb = Blueprint('web', __name__)\nfrom app.web import auth\nfrom app.web import user\nfrom app.... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for p in G['Pos']:
Pos.append(p)
<|reserved_special_token_0|>
for v in G['Vel']:
Vel.append(v)
<|reserved_special_token_0|>
for s in G['Spin']:
Spin.append(s)
<|reserved_special_token_0|>
for d in G['DiscRadii']:
D... | flexible | {
"blob_id": "0d565c9f92a60d25f28c903c0a27e7b93d547a4f",
"index": 2971,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor p in G['Pos']:\n Pos.append(p)\n<mask token>\nfor v in G['Vel']:\n Vel.append(v)\n<mask token>\nfor s in G['Spin']:\n Spin.append(s)\n<mask token>\nfor d in G['DiscRadii']:\n... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
__all__ = ["kepler", "quad_solution_vector", "contact_points"]
import numpy as np
from .. import driver
def kepler(mean_anomaly, eccentricity):
mean_anomaly = np.ascontiguousarray(mean_anomaly, dtype=np.float64)
eccentricity = np.ascontiguousarray(eccentricity, dtype=np.float64)
... | normal | {
"blob_id": "ccd32a6ca98c205a6f5d4936288392251522db29",
"index": 4896,
"step-1": "<mask token>\n\n\ndef kepler(mean_anomaly, eccentricity):\n mean_anomaly = np.ascontiguousarray(mean_anomaly, dtype=np.float64)\n eccentricity = np.ascontiguousarray(eccentricity, dtype=np.float64)\n sinf = np.empty_like(m... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
def convert(self, s: str, numRows: int) ->str:
res = ''
for i in range(numRows):
pass
return res
<|reserved_special_tok... | flexible | {
"blob_id": "aa952e8f9a1855b5578cb26d6e5aca42605ee585",
"index": 5454,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n",
"step-3": "class Solution:\n\n def convert(self, s: str, numRows: int) ->str:\n res = ''\n for i in range(numRows):\n pass\n r... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def takeInput():
x = input()
while not validInput(x):
print('Invalid input. Try another one:')
x = input()
return x
def main():
stats = {'Council': 0, 'United': 0, 'Faceless': 0, 'Warband': 0}
print(
"Welcome to Skyrst's open-source recreation... | flexible | {
"blob_id": "5209638ec97a666783c102bec7a2b00991c41a08",
"index": 5438,
"step-1": "<mask token>\n\n\ndef takeInput():\n x = input()\n while not validInput(x):\n print('Invalid input. Try another one:')\n x = input()\n return x\n\n\ndef main():\n stats = {'Council': 0, 'United': 0, 'Facel... | [
2,
3,
4,
5,
6
] |
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
import cv2
import openslide
class QualityPatch():
def __init__(self, original_img_path,label_img_path,patch_level,patch_size):
"""
parameter:
original_img_path(str): the source of image
label_img_path(s... | normal | {
"blob_id": "0ad71f02e37f2744036b134c33e037a724fd38a6",
"index": 8049,
"step-1": "<mask token>\n\n\nclass QualityPatch:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def getReleventPatches(self):\n relevent_patches = []\n for i, coor in enumerate(s... | [
3,
6,
7,
9,
10
] |
<|reserved_special_token_0|>
def processFrame(image_message):
frame = CvBridge().imgmsg_to_cv2(image_message)
frame_hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
mask = cv2.inRange(frame_hsv, (0, 0, 0, 0), (180, 255, 30, 0))
mask = cv2.dilate(mask, None, iterations=1)
cnts = cv2.findContours(mask.c... | flexible | {
"blob_id": "e864dad3f46fc9c6c472823bd06ce74fb5cb3f41",
"index": 462,
"step-1": "<mask token>\n\n\ndef processFrame(image_message):\n frame = CvBridge().imgmsg_to_cv2(image_message)\n frame_hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)\n mask = cv2.inRange(frame_hsv, (0, 0, 0, 0), (180, 255, 30, 0))\n ... | [
1,
2,
3,
4,
5
] |
import os
import sys
sys.path.insert(0, "/path/to/mm-api/python")
sys.path.insert(0, "/path/to/mm-api/distrib/python_osx")
print(sys.path)
import mmapi
from mmRemote import *
import mm;
# assumption: we are running
examples_dir = "/dir/of/models/"
part_filename1 = os.path.join( examples_dir, "model1.stl" )
part_file... | normal | {
"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
] |
#https://codecombat.com/play/level/village-champion
# Incoming munchkins! Defend the town!
# Define your own function to fight the enemy!
# In the function, find an enemy, then cleave or attack it.
def attttaaaaacccckkkk():
enemy = hero.findNearest(hero.findEnemies())
#enemy = hero.findNearestEnemy()
if e... | normal | {
"blob_id": "ce365e011d8cc88d9aa6b4df18ea3f4e70d48f5c",
"index": 4887,
"step-1": "<mask token>\n",
"step-2": "def attttaaaaacccckkkk():\n enemy = hero.findNearest(hero.findEnemies())\n if enemy:\n if enemy and hero.isReady('cleave'):\n hero.cleave(enemy)\n else:\n hero... | [
0,
1,
2,
3
] |
import xml.etree.ElementTree as ET
#tree = ET.parse('rutas/rutas_prueba.xml')
#treeToAdd = ET.parse('rutas/rutas_prueba_agregar.xml')
#root = tree.getroot()
#git rootToAdd = treeToAdd.getroot()
#for child in root:
# for test in child:
# print(test.tag, test.attrib)
#for elem in root.iter():
# print(... | normal | {
"blob_id": "b4b7e20c9558bd1b29a1c1fa24bfca8a2d292b27",
"index": 398,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor root in rootsToAdd:\n for elem in root:\n root1.append(elem)\nrutas0k_10k.write('rutas/rutas0k-110k.xml')\n",
"step-3": "<mask token>\nrutas0k_10k = ET.parse('rutas/rutas0k... | [
0,
1,
2,
3,
4
] |
import os
from matplotlib import pyplot as plt
from matplotlib import colors
import numpy as np
class figure:
def __init__(self, dire, dpi, span, data, CIM,
learn_loss=None, eval_loss=None, different_dir_app=True, reference_steps=0, reveal_trend=1):
self.dire = self.new_num_directory(di... | normal | {
"blob_id": "dce6ef64cf1a758ed25e11f626ce31206d18f960",
"index": 8645,
"step-1": "<mask token>\n\n\nclass figure:\n <mask token>\n\n def new_num_directory(self, path):\n n = 1\n while True:\n if not os.path.exists(path + '_' + str(n)):\n os.mkdir(path + '_' + str(n))... | [
4,
11,
12,
13,
14
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Created with YooLiang Technology (侑良科技).
# Author: Qi-Liang Wen (温啓良）
# Web: http://www.yooliang.com/
# Date: 2015/7/12.
from monkey import BasicModel
from monkey import Fields
class WebInformationModel(BasicModel):
class Meta:
label_name = {
"... | normal | {
"blob_id": "3d55a5b4e332523025f65e5f5859f4633f4ee9a3",
"index": 7501,
"step-1": "<mask token>\n\n\nclass WebInformationModel(BasicModel):\n\n\n class Meta:\n label_name = {'title': u'通用名稱', 'name': u'識別碼',\n 'domain_registration': u'網域註冊地', 'domain_registration_price':\n u'網域註冊費用... | [
1,
2,
3,
4,
5
] |
import Numberjack as Nj
class Teachers(object):
"""Will be expanded to allow constraints for individual teachers"""
def __init__(self):
self.store = list()
def add(self, teachers):
if isinstance(teachers, (list, tuple)):
self.store.extend(teachers)
elif isinstance(teac... | normal | {
"blob_id": "8787126e654808a5fec52283780d9b4f668fa50f",
"index": 8593,
"step-1": "<mask token>\n\n\nclass Subjects(object):\n\n def __init__(self):\n self.store = list()\n\n def add(self, subjects):\n if isinstance(subjects, (list, tuple)):\n self.store.extend(subjects)\n el... | [
9,
10,
12,
13,
15
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def tools():
search = str(input('Please enter search: '))
search.strip()
pulsesJSON = otx.search_pulses(search, 40)
for aPulse in pulsesJSON['results']:
name = aPulse.get('name')
description = aPu... | flexible | {
"blob_id": "659f45d2c6c7138f26b4a8d15d1710ae60450b08",
"index": 6278,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef tools():\n search = str(input('Please enter search: '))\n search.strip()\n pulsesJSON = otx.search_pulses(search, 40)\n for aPulse in pulsesJSON['results']:\n n... | [
0,
1,
2,
3
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
db = {
'host': "localhost",
'user': "root",
'passwd': "m74e71",
'database': "dw_toner"
}
data_inicial = '1990-01-01'
ano_final = 2018
feriados = "feriados.csv"
meses_de_ferias = (1, 2, 7, 12) #Janeiro, Fevereiro, Julho, Dezembro
dias_final_semana = (1, ... | normal | {
"blob_id": "360881cecbad88ea5d150548fba6a39d8dc30681",
"index": 8598,
"step-1": "<mask token>\n",
"step-2": "db = {'host': 'localhost', 'user': 'root', 'passwd': 'm74e71', 'database':\n 'dw_toner'}\ndata_inicial = '1990-01-01'\nano_final = 2018\nferiados = 'feriados.csv'\nmeses_de_ferias = 1, 2, 7, 12\ndia... | [
0,
1,
2
] |
def geo_avg(x, lat, dim=2):
"""
geo_avg: to calculate weighting average according to latitude
input:
x: variable
lat: corresponding latittude
dim: the order of the lat dimension, two cases: 2:[time,lev,lat,*lon],or 1:[time or lev, lat, *lon]
output:
result: 1d or 2d ave... | flexible | {
"blob_id": "a2871585ce36888cf89c4dc5a6a7de6b212412bb",
"index": 1153,
"step-1": "def geo_avg(x, lat, dim=2):\n \"\"\"\n geo_avg: to calculate weighting average according to latitude\n input: \n x: variable \n lat: corresponding latittude\n dim: the order of the lat dimension, two c... | [
5,
6,
7,
8,
9
] |
lista = []
z = 0
j = 9
for i in range(0, 10):
lista.append(int(input()))
while z < j:
c = lista[z]
lista[z] = lista[j]
lista[j] = c
z += 1
j -= 1
print(lista)
| normal | {
"blob_id": "01ede703e36268dc9b3331b21726c24674a43817",
"index": 1338,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(0, 10):\n lista.append(int(input()))\nwhile z < j:\n c = lista[z]\n lista[z] = lista[j]\n lista[j] = c\n z += 1\n j -= 1\nprint(lista)\n",
"step-3": "li... | [
0,
1,
2
] |
<|reserved_special_token_0|>
def avg(x):
return [(sum(x[i]) / row) for i in range(col)]
<|reserved_special_token_0|>
def cov(x, md_x):
cov_xy = [[(0) for r in range(col)] for c in range(col)]
for i in range(col):
for j in range(col):
for k in range(row):
cov_xy[i][j... | flexible | {
"blob_id": "ad3c5ed3d6a9aa83e69f53d3fec845e8e2b1c9c6",
"index": 883,
"step-1": "<mask token>\n\n\ndef avg(x):\n return [(sum(x[i]) / row) for i in range(col)]\n\n\n<mask token>\n\n\ndef cov(x, md_x):\n cov_xy = [[(0) for r in range(col)] for c in range(col)]\n for i in range(col):\n for j in ran... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(
"""
███████████████████████████████
█ █
█═╬═════════════════════════╬═█
█ ║░░░░░░░░░░░░░░░░░░░░░░░░░║ █
█ ║░░░░Wi-fi Fucker Tool░░░░║ █
█ ║░░░░░░░░░░░░░░░░░░░░░░░░░║ ... | flexible | {
"blob_id": "15eb205e6bd36844fdfc8c05efbc3a3d584c122d",
"index": 7238,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(\n \"\"\"\n\n ███████████████████████████████\n █ █\n █═╬═════════════════════════╬═█\n █ ║░░░░░░░░░░░░░░░░░░░░░░░░░║ █\n █ ║░░░░Wi-fi ... | [
0,
1,
2,
3,
4
] |
# Bisection recursion algo for sqrt of 2
def bisectionSqrt(x, epsilon = 0.01, low = None, high = None):
"""
Performs a recursive bisection search to find the
square root of x, within epsilon
"""
if low == None:
low = 0.0
if high == None:
high = x
midPoint = (high + low)/2.0
# If the difference of the ... | normal | {
"blob_id": "d332ddd6c66bb22d60190ab8f94931eac6fd2394",
"index": 8482,
"step-1": "# Bisection recursion algo for sqrt of 2\n\ndef bisectionSqrt(x, epsilon = 0.01, low = None, high = None):\n\t\"\"\" \n\t\tPerforms a recursive bisection search to find the\n\t\tsquare root of x, within epsilon\n\t\"\"\"\n\n\tif lo... | [
0
] |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.6 on 2017-05-29 04:28
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('nomenclature', '0002_saloon_default'),
]
operations = [
migrations.AlterFiel... | normal | {
"blob_id": "7817a42e5aee1786cfb3e8018bd7ca0a5e74749d",
"index": 8447,
"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 = [('nomenclatur... | [
0,
1,
2,
3,
4
] |
from parser import read_expression_line, read_expression_lines, read_assignment_line, read_import_line, Import
def test_expression():
lines = ['a % b']
expression, left = read_expression_lines(lines)
assert expression is not None and len(left) == 0, left
print "test_expression 0: {} {}".format(expressi... | normal | {
"blob_id": "657866affd653a99eb7d9a9a82b2f7d6503ec21a",
"index": 2468,
"step-1": "from parser import read_expression_line, read_expression_lines, read_assignment_line, read_import_line, Import\n\ndef test_expression():\n lines = ['a % b']\n expression, left = read_expression_lines(lines)\n assert expres... | [
0
] |
import pyodbc
from configuration.config import Configuration
from models.entities import Entities
from models.columns import Columns
from models.relationships import Relationship
from models.synonyms import Synonyms
from spacy.lemmatizer import Lemmatizer
from spacy.lookups import Lookups
class DBModel(object):
... | normal | {
"blob_id": "76ebab93441676f9f00b2c2d63435e72c2d5d1ba",
"index": 9936,
"step-1": "<mask token>\n\n\nclass DBModel(object):\n <mask token>\n <mask token>\n\n def get_matcher(self, matcher, nlp):\n for entity in self.entities:\n matcher.add(entity.name.upper() + '_TABLE', None, nlp(entit... | [
2,
3,
4,
6,
7
] |
<|reserved_special_token_0|>
class Gui:
<|reserved_special_token_0|>
def insert_data(self):
self.id = e.get()
self.name1 = e1.get()
self.fathername = e2.get()
self.mothername = e3.get()
self.cont = e4.get()
self.email = e5.get()
self.cursor.execute(
... | flexible | {
"blob_id": "4c6b04716f41c3413896f0d59f2cc9b1475d7f64",
"index": 5164,
"step-1": "<mask token>\n\n\nclass Gui:\n <mask token>\n\n def insert_data(self):\n self.id = e.get()\n self.name1 = e1.get()\n self.fathername = e2.get()\n self.mothername = e3.get()\n self.cont = e4.... | [
9,
12,
17,
18,
20
] |
#from tkinter import Tk, Text, INSERT
import mnemonicos as mne
class Ensambler(object):
def __init__(self, fileName):
#Nombre del archivo
self.fileName = fileName
#Lineas del Archivo
self.fileLines = []
#Contador de Localidades
self.cl = 0
#Tamaño
self.size = 0
#Opcode
self.code = ""
#Intr... | normal | {
"blob_id": "3bc009271c7dd34ad09bcef81214387b63dfac59",
"index": 2549,
"step-1": "<mask token>\n\n\nclass Ensambler(object):\n\n def __init__(self, fileName):\n self.fileName = fileName\n self.fileLines = []\n self.cl = 0\n self.size = 0\n self.code = ''\n self.instru... | [
7,
8,
9,
10,
12
] |
<|reserved_special_token_0|>
class Downloader:
<|reserved_special_token_0|>
def _worker(self, download_range: tuple, counter: AtomicCounter):
start, end = download_range
header = {'Range': 'bytes=' + str(start) + '-' + str(end)}
r = requests.get(self.url, headers=header, stream=True, ... | flexible | {
"blob_id": "3dc3bbd00f9c2d00093bf8669963d96f5019b2da",
"index": 4648,
"step-1": "<mask token>\n\n\nclass Downloader:\n <mask token>\n\n def _worker(self, download_range: tuple, counter: AtomicCounter):\n start, end = download_range\n header = {'Range': 'bytes=' + str(start) + '-' + str(end)}... | [
3,
4,
5,
6,
7
] |
""" Url router for the federated search application
"""
from django.conf.urls import include
from django.urls import re_path
urlpatterns = [
re_path(r"^rest/", include("core_federated_search_app.rest.urls")),
]
| normal | {
"blob_id": "6903584b27c0720cebf42ed39968b18f0f67f796",
"index": 6167,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [re_path('^rest/', include(\n 'core_federated_search_app.rest.urls'))]\n",
"step-3": "<mask token>\nfrom django.conf.urls import include\nfrom django.urls import re_pat... | [
0,
1,
2,
3
] |
from meross_iot.model.http.exception import HttpApiError
from logger import get_logger
from typing import Dict
from flask import Blueprint
from authentication import _user_login
from decorator import meross_http_api
from messaging import make_api_response
auth_blueprint = Blueprint('auth', __name__)
_LOGGER = get_... | normal | {
"blob_id": "afccd33e4c6bc5b7907a6af4ab698489fc9ea70d",
"index": 5299,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@auth_blueprint.route('/Login', methods=['POST'])\n@meross_http_api(login_required=False)\ndef login(api_payload: Dict, *args, **kwargs):\n email = api_payload.get('email')\n pa... | [
0,
1,
2,
3,
4
] |
"""AWS CDK application.
See https://docs.aws.amazon.com/cdk/ for details.
"""
from ias_pmi_cdk_common import PMIApp
from stacks import MainStack
APP_NAME = 'etl-pm-pipeline-be'
# create CDK application
app = PMIApp(APP_NAME)
# add stacks
MainStack(app, app, 'main')
# synthesize application assembly
app.synth(... | normal | {
"blob_id": "dfbbbaf6b5f02c60ca48f7864068d59349c547d1",
"index": 5484,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nMainStack(app, app, 'main')\napp.synth()\n",
"step-3": "<mask token>\nAPP_NAME = 'etl-pm-pipeline-be'\napp = PMIApp(APP_NAME)\nMainStack(app, app, 'main')\napp.synth()\n",
"step-4": "... | [
0,
1,
2,
3,
4
] |
from . import by_trips
from . import by_slope
| normal | {
"blob_id": "74fae3636b1c1b0b79d0c6bec8698581b063eb9c",
"index": 8944,
"step-1": "<mask token>\n",
"step-2": "from . import by_trips\nfrom . import by_slope\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def resource_path(relative_path):
""" Get absolute path to resource, works for dev and for PyInstaller """
try:
base_path = sys._MEIPASS
except Exception:
base_path = os.path.abspath('.')
return o... | flexible | {
"blob_id": "5fb3905abf958f0a8be41cd6ad07efb2a0cf6c66",
"index": 7542,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef resource_path(relative_path):\n \"\"\" Get absolute path to resource, works for dev and for PyInstaller \"\"\"\n try:\n base_path = sys._MEIPASS\n except Exception... | [
0,
1,
2,
3,
4
] |
animals = ['bear', 'python', 'peacock', 'kangaroo', 'whale', 'platypus']
The animal at 1.
The third (3rd) animal.
The first (1st) animal.
The animal at 3.
The fifth (5th) animal.
The animal at 2.
The sixth (6th) animal.
The animal at 4.
| normal | {
"blob_id": "a319ebb05e9034f19aef39bd46830c8a607ed121",
"index": 1013,
"step-1": "animals = ['bear', 'python', 'peacock', 'kangaroo', 'whale', 'platypus']\nThe animal at 1.\nThe third (3rd) animal.\nThe first (1st) animal.\nThe animal at 3.\nThe fifth (5th) animal.\nThe animal at 2.\nThe sixth (6th) animal.\nThe... | [
0
] |
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
] |
from __future__ import unicode_literals
from django.db import models
from django.contrib.auth.models import User
from django.core.exceptions import ValidationError
from django.utils import timezone
from timesheets.models import TimeSheet
from channels import Group
class ProjectTS(models.Model):
class Meta:
... | normal | {
"blob_id": "df39a97db25f03aca8ebd501283fd6a7c486db8c",
"index": 1243,
"step-1": "<mask token>\n\n\nclass ProjectTSEntry(models.Model):\n description = models.CharField(max_length=150, default='')\n project_time_sheet = models.ForeignKey(ProjectTS, related_name=\n 'project_time_sheet')\n project_... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def smallest_divisible(nmax=20):
smallest = 1
for i in range(1, nmax + 1):
if smallest % i:
smallest *= i / gcd(i, smallest)
return smallest
<|reserved_special_token_1|>
<|reserved_special_toke... | flexible | {
"blob_id": "1cc696410a5d2eaf294d032c04a96974d5ef5db0",
"index": 2831,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef smallest_divisible(nmax=20):\n smallest = 1\n for i in range(1, nmax + 1):\n if smallest % i:\n smallest *= i / gcd(i, smallest)\n return smallest\n",
... | [
0,
1,
2,
3
] |
import pickle
import pytest
from reader import EntryError
from reader import FeedError
from reader import SingleUpdateHookError
from reader import TagError
from reader.exceptions import _FancyExceptionBase
def test_fancy_exception_base():
exc = _FancyExceptionBase('message')
assert str(exc) == 'message'
... | normal | {
"blob_id": "6fd4df7370de2343fe7723a2d8f5aacffa333835",
"index": 3105,
"step-1": "<mask token>\n\n\ndef test_fancy_exception_base():\n exc = _FancyExceptionBase('message')\n assert str(exc) == 'message'\n exc = _FancyExceptionBase(message='message')\n assert str(exc) == 'message'\n cause = Excepti... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
def login_name(request):
if request.method == 'POST':
form = Login(request.POST)
if form.is_valid():
email = form.cleaned_data['email']
password = form.cleaned_data['password']
return render(request, 'login/new_index.html', {'form': ... | flexible | {
"blob_id": "cbbb314a3262713f6cb2bb2dd90709d7bf1ca8eb",
"index": 6095,
"step-1": "<mask token>\n\n\ndef login_name(request):\n if request.method == 'POST':\n form = Login(request.POST)\n if form.is_valid():\n email = form.cleaned_data['email']\n password = form.cleaned_data... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def StringToList(input_string):
word_list = []
word = ''
for i in range(0, len(input_string)):
if input_string[i] == ' ':
word_list.append(word)
word = ''
elif i == len(input_s... | flexible | {
"blob_id": "7c2897dcb732e75d7328e8c0484d5bd7f3b56e6f",
"index": 9190,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef StringToList(input_string):\n word_list = []\n word = ''\n for i in range(0, len(input_string)):\n if input_string[i] == ' ':\n word_list.append(word)\n... | [
0,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class SSDigitDecoder(Elaboratable):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class Blinky(Elaboratable):
def __init__(self):
self.dd0 = SSDigitDecoder()
self.dd1 = SSDigitDecoder()
def elaborate(self, pl... | flexible | {
"blob_id": "74bb511a9ec272020693db65a2e708f3db56931e",
"index": 9954,
"step-1": "<mask token>\n\n\nclass SSDigitDecoder(Elaboratable):\n <mask token>\n <mask token>\n <mask token>\n\n\nclass Blinky(Elaboratable):\n\n def __init__(self):\n self.dd0 = SSDigitDecoder()\n self.dd1 = SSDigi... | [
4,
6,
7,
8,
10
] |
import logging
from datetime import datetime
from preprocessing import death_preprocessing
from preprocessing_three_month import death_preprocessing_three_month
from death_rule_first_55 import death_rule_first_55
from death_rule_second import death_rule_second_new
from death_escalation import death_escalation
if __n... | normal | {
"blob_id": "f44a8837056eb77fbf0ff37b9c57891cc3a3d6b2",
"index": 6783,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n logging.basicConfig(filename='logfile.log', filemode='a', format=\n '%(asctime)s - %(levelname)s - %(message)s', level=logging.INFO)\n logging.in... | [
0,
1,
2,
3
] |
a=int(input("Choose a number: "))
for x in range(1,100000):
b=a*x;
print(x, '*', a,'=',b)
if b>100:
break
| normal | {
"blob_id": "043dd97d4d4ade29536a83c3557a34db3a4cb0f9",
"index": 2002,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor x in range(1, 100000):\n b = a * x\n print(x, '*', a, '=', b)\n if b > 100:\n break\n",
"step-3": "a = int(input('Choose a number: '))\nfor x in range(1, 100000):\n ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class SchemathesisCase(PyCollector):
<|reserved_special_token_0|>
def _get_test_name(self, endpoint: Endpoint) ->str:
return f'{self.name}[{endpoint.method}:{endpoint.path}]'
def _gen_items(self, endpoint: Endpoint) ->Generator[Function, None, None]:
"""Gener... | flexible | {
"blob_id": "2060f0af351c1487f8aa45943dbaa050f4291c58",
"index": 7791,
"step-1": "<mask token>\n\n\nclass SchemathesisCase(PyCollector):\n <mask token>\n\n def _get_test_name(self, endpoint: Endpoint) ->str:\n return f'{self.name}[{endpoint.method}:{endpoint.path}]'\n\n def _gen_items(self, endpo... | [
4,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
class BureauActifCalendarDataType(db.Model, BaseModel):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class... | flexible | {
"blob_id": "83117000f5f34490cb14580a9867b1e871ccc2ae",
"index": 526,
"step-1": "<mask token>\n\n\nclass BureauActifCalendarDataType(db.Model, BaseModel):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass BureauActifCalendarDataType... | [
1,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class AccountsnConfig(AppConfig):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class AccountsnConfig(AppConfig):
name = 'accounts'
<|reserved_special_token_1|>
from djang... | flexible | {
"blob_id": "a3fc624d6d101667ab11842eac96ed1b34d4317e",
"index": 3369,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass AccountsnConfig(AppConfig):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass AccountsnConfig(AppConfig):\n name = 'accounts'\n",
"step-4": "from django.apps impor... | [
0,
1,
2,
3
] |
import os
from MdApi import MdApi
class Adapter(MdApi):
def __init__(self):
super(Adapter, self).__init__()
def connect(self):
self.createFtdcMdApi(os.getcwd())
self.registerFront('tcp://180.168.146.187:10010')
def onFrontConnected(self):
print 'front succ... | normal | {
"blob_id": "0e58834120c34b5152026bde6d089be19244e21a",
"index": 269,
"step-1": "import os\n\nfrom MdApi import MdApi\n\nclass Adapter(MdApi):\n\n def __init__(self):\n \n super(Adapter, self).__init__()\n\n\n def connect(self):\n\n\n self.createFtdcMdApi(os.getcwd())\n\n self.r... | [
0
] |
from clients.models import Budget
from clients.models import Spend
from datetime import date as datetimedate
from datetime import datetime
from datetime import timedelta
from django.db import models
from rest_framework.exceptions import ParseError
import math
import pandas as pd
class CampaignPerformance:
""" Get... | normal | {
"blob_id": "a860e6670719a733e75c7580cf2e07765b0777eb",
"index": 2806,
"step-1": "<mask token>\n\n\nclass CampaignPerformance:\n <mask token>\n\n def __init__(self, campaign, start):\n self.campaign = campaign\n self.start = start\n self.BUDGETS_NAME = 'Budgets'\n self.required_... | [
9,
12,
13,
15,
16
] |
<|reserved_special_token_0|>
def getRandomUserAgnet():
user_agents = [
'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.87 Safari/537.36 QIHU 360S'
]
userAgent = random.choice(user_agents)
return userAgent
def getProxies():
proxies = []
... | flexible | {
"blob_id": "911631e96d21bdf22a219007f1bdc04a5e6965dc",
"index": 739,
"step-1": "<mask token>\n\n\ndef getRandomUserAgnet():\n user_agents = [\n 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.87 Safari/537.36 QIHU 360S'\n ]\n userAgent = random.ch... | [
3,
4,
5,
6,
7
] |
"""
Looks up values in createresistorvaluesdbm.py.
Outputs string value ( cmd ).
"""
import dbm
# Open a DB. The c option opens in read/write mode and creates the file if needed.
db = dbm.open( 'resistorvalues', 'c' )
with open( "dummyoutput.txt", "r" ) as file_object:
#print (file_object.readli... | normal | {
"blob_id": "69eb62ba47a63cf007334c777709b0513d75f396",
"index": 1504,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('dummyoutput.txt', 'r') as file_object:\n data = file_object.readlines()\n for line in data:\n words = line.split(';')\n for i in range(1, len(words), 4):\n ... | [
0,
1,
2,
3,
4
] |
TTTSIZE = 4
def who_win_line(line):
elements = set(line)
if '.' in elements:
return '.'
elements.discard('T')
if len(elements) >= 2:
return 'D'
else:
return elements.pop()
def who_win_tic_tac_toe(original_rows):
#print('%s' % repr(original_rows))
board... | normal | {
"blob_id": "2e041e33b5c34c2bddc72b36ff641817f1e21db2",
"index": 3735,
"step-1": "<mask token>\n\n\ndef who_win_line(line):\n elements = set(line)\n if '.' in elements:\n return '.'\n elements.discard('T')\n if len(elements) >= 2:\n return 'D'\n else:\n return elements.pop()\n... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def heapify(lst, index, heap_size):
largest = index
left_index = 2 * index + 1
right_index = 2 * index + 2
if left_index < heap_size and lst[left_index] > lst[largest]:
largest = left_index
if right_index < heap_size and lst[right_... | flexible | {
"blob_id": "d8ea396ff8514cc10e02072ea478f0276584153d",
"index": 3274,
"step-1": "<mask token>\n",
"step-2": "def heapify(lst, index, heap_size):\n largest = index\n left_index = 2 * index + 1\n right_index = 2 * index + 2\n if left_index < heap_size and lst[left_index] > lst[largest]:\n lar... | [
0,
1,
2
] |
import numpy as np
import initialization as init
import evaluation as eval
import selection as sel
import recombination as rec
import mutation as mut
initialize = init.permutation
evaluate = eval.custom
select = sel.rank_based
mutate = mut.swap
reproduce = rec.pairwise
crossover = rec.order
replace = sel.rank_based
par... | normal | {
"blob_id": "5eab41a2ef536365bab6f6b5ad97efb8d26d7687",
"index": 4456,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor gen in range(params['gens']):\n parents = select(population, params['n_pars'])\n offspring = reproduce(params, parents, crossover)\n offspring = mutate(params, offspring)\n ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def visualize_grayscale_intensities(img, out_path):
img_x, img_y = np.mgrid[0:img.shape[0], 0:img.shape[1]]
fig = plt.figure()
ax = fig.gca(projection='3d')
ax.plot_surface(img_x, img_y, img, rstride=1, cstride=1, cmap=plt.cm.
jet, linewidth=0)
plt.savefig(out_... | flexible | {
"blob_id": "21fec6d307b928a295f2ffbf267456f9cd9ea722",
"index": 9105,
"step-1": "<mask token>\n\n\ndef visualize_grayscale_intensities(img, out_path):\n img_x, img_y = np.mgrid[0:img.shape[0], 0:img.shape[1]]\n fig = plt.figure()\n ax = fig.gca(projection='3d')\n ax.plot_surface(img_x, img_y, img, r... | [
4,
6,
7,
8,
9
] |
#!/usr/bin/env python
#coding:utf-8
import sys
import time
reload(sys)
sys.setdefaultencoding('utf8')
from bs4 import BeautifulSoup
import requests
import csv
import codecs
import xlwt
#from word_power_dict import get_url_dict
#from Vocabulary_Toefl_MP3s_5000_Words_Memory_Course_dict import get_url_dict
#from new_para... | normal | {
"blob_id": "fab1d2270ae906ca92cf3be2c2d9767737ea6083",
"index": 6364,
"step-1": "#!/usr/bin/env python\n#coding:utf-8\n\nimport sys\nimport time\nreload(sys)\nsys.setdefaultencoding('utf8')\nfrom bs4 import BeautifulSoup\nimport requests\nimport csv\nimport codecs\nimport xlwt\n#from word_power_dict import get_... | [
0
] |
'''
Inspection of the network with unlabelled data
'''
import numpy as np
import matplotlib.pyplot as plt
from main import IMG_SIZE, MODEL_NAME, model
model.load(MODEL_NAME)
''' COMMENT OUT FOLLOWING AS APPROPRIATE '''
# if you need to create the data:
# test_data = process_test_... | normal | {
"blob_id": "02d7022c7d864354379009577d64109601190998",
"index": 7034,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nmodel.load(MODEL_NAME)\n<mask token>\nfor num, data in enumerate(test_data[:12]):\n img_num = data[1]\n img_data = data[0]\n y = fig.add_subplot(3, 4, num + 1)\n orig = img_da... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def start():
try:
CHUNK = 1024
FORMAT = pyaudio.paInt16
CHANNELS = 2
RATE = 44100
dest_path = winshell.desktop() + '\\Spyware\\Output'
dest_path = dest_path.replace('\\', '/') ... | flexible | {
"blob_id": "bbbbf0e1bbd7ead034d8cd88ee6a09a61cde7803",
"index": 3463,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef start():\n try:\n CHUNK = 1024\n FORMAT = pyaudio.paInt16\n CHANNELS = 2\n RATE = 44100\n dest_path = winshell.desktop() + '\\\\Spyware\\\\Ou... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def raiting_validator(value):
if value < 1 or value > 10:
raise ValidationError('%s is not a caorrect raiting!' % value)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def year_validator(value):
i... | flexible | {
"blob_id": "7a6d5309580b673413f57047e631a08e61e837cf",
"index": 4447,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef raiting_validator(value):\n if value < 1 or value > 10:\n raise ValidationError('%s is not a caorrect raiting!' % value)\n",
"step-3": "<mask token>\n\n\ndef year_vali... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class DateFormat(TextFormat):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def __init__(self, name... | flexible | {
"blob_id": "5e1398ed628917a42cc465e7cc2979601f0f4fbc",
"index": 7865,
"step-1": "<mask token>\n\n\nclass DateFormat(TextFormat):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, name, attrs={}):\n \"\"\... | [
100,
168,
171,
173,
175
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def test():
raw_text = (
"通化辉南县经济适用房_通化辉南县经适房_通化辉南县经济适用房转让_通化去114网通化切换城市var googlequerykey ='二手经适房 二手房买卖 二手房地产公司' ; var AdKeyWords = '... | flexible | {
"blob_id": "488d20a86c5bddbca2db09b26fb8df4b6f87a1dc",
"index": 2354,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test():\n raw_text = (\n \"通化辉南县经济适用房_通化辉南县经适房_通化辉南县经济适用房转让_通化去114网通化切换城市var googlequerykey ='二手经适房 二手房买卖 二手房地产公司' ; ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def Lad(a1, a2, b1, b2):
if (a1 == b1) | (a2 == b2):
return 'YES'
else:
return 'NO'
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def Lad(a1, a2, b1, b2):
... | flexible | {
"blob_id": "0f55b598058b65c9dbf9cd4761d1ff6fc7091b19",
"index": 8791,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef Lad(a1, a2, b1, b2):\n if (a1 == b1) | (a2 == b2):\n return 'YES'\n else:\n return 'NO'\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef Lad(a1, a2, b1... | [
0,
1,
2,
3
] |
import gzip
import pickle as pkl
import time
from datetime import datetime
import grpc
import numpy as np
from sklearn.utils import shuffle
import neural_nets_pb2 as nn_pb
import neural_nets_pb2_grpc as nn_pb_grpc
from mnist_loader import load_data
from activations import *
# pylint: disable=too-many-arguments
cl... | normal | {
"blob_id": "fa6f251f27b645fc6827285b5578fd9634c8bb30",
"index": 6361,
"step-1": "<mask token>\n\n\nclass Layer(nn_pb_grpc.LayerDataExchangeServicer):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def init_weights(self, load_weights=None):\n ... | [
24,
27,
28,
32,
35
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print('Max: {}'.format(max_value))
print('Max: {}'.format(max_value1))
print('Max: {}'.format(max_value2))
print('Max: {}'.format(max_value3))
<|reserved_special_token_1|>
max_integer = __import__('9-max_integer').max_integer
m... | flexible | {
"blob_id": "f5b74ca95cb368d70139b5d36e3c8d553b8c5393",
"index": 1393,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('Max: {}'.format(max_value))\nprint('Max: {}'.format(max_value1))\nprint('Max: {}'.format(max_value2))\nprint('Max: {}'.format(max_value3))\n",
"step-3": "max_integer = __import__... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def sigmoid(x):
return 0.5 * (1 + np.tanh(0.5 * x))
def bernoulli_array(prob_array, dim):
sample = np.zeros(dim)
uni_sample = np.random.uniform(0, 1, dim)
diff = uni_sample - prob_array
coords = np.argwhere(diff < 0)
sample[[*coords.T]] = 1
return sample
<|... | flexible | {
"blob_id": "e048170775c589cf0a9fb3d54c72dab4df3f1bcb",
"index": 7558,
"step-1": "<mask token>\n\n\ndef sigmoid(x):\n return 0.5 * (1 + np.tanh(0.5 * x))\n\n\ndef bernoulli_array(prob_array, dim):\n sample = np.zeros(dim)\n uni_sample = np.random.uniform(0, 1, dim)\n diff = uni_sample - prob_array\n ... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if len(sys.argv) != 3:
print('Wrong number of arguments! Exiting.')
<|reserved_special_token_0|>
for line in infile.readlines():
fields = line.split()
node_id = int(fields[0])
lat = float(fields[1])
lon = float... | flexible | {
"blob_id": "4744d594c0599f1aa807eefa0cb40a2a2a3c7926",
"index": 6677,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif len(sys.argv) != 3:\n print('Wrong number of arguments! Exiting.')\n<mask token>\nfor line in infile.readlines():\n fields = line.split()\n node_id = int(fields[0])\n lat =... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def end_num(s):
text = re.compile('.*[0-9]$')
if text.match(s):
return 'Yes!Number is present at the end of string'
else:
return 'No!Number is not present at the end of string'
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_to... | flexible | {
"blob_id": "94334f91b1556c05dce0ed6f23c074bb8875f185",
"index": 2505,
"step-1": "<mask token>\n\n\ndef end_num(s):\n text = re.compile('.*[0-9]$')\n if text.match(s):\n return 'Yes!Number is present at the end of string'\n else:\n return 'No!Number is not present at the end of string'\n\n... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
def eventualSafeNodes(self, graph: List[List[int]]) ->List[int]:
res = []
d = {}
def dfs(node):
if graph[node] == []:
... | flexible | {
"blob_id": "b815f72e2cad351fd9411361a0e7cc75d39ae826",
"index": 9270,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n",
"step-3": "class Solution:\n\n def eventualSafeNodes(self, graph: List[List[int]]) ->List[int]:\n res = []\n d = {}\n\n def dfs(node):\n ... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class TestUnwrap(object):
@pytest.fixture
def fn(self):
def fn():
pass
return fn
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<... | flexible | {
"blob_id": "a1e563f94044ff7cd7e0e55542bc4ca2db81df28",
"index": 9749,
"step-1": "<mask token>\n\n\nclass TestUnwrap(object):\n\n @pytest.fixture\n def fn(self):\n\n def fn():\n pass\n return fn\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask toke... | [
14,
15,
20,
25,
26
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def check_fibonacci_number():
global CURRENT_INDEX
while fib_list[CURRENT_INDEX - 1] < NUMBER_TO_BE_CHECKED:
fib_list.append(fib_list[CURRENT_INDEX - 1] + fib_list[
CURRENT_INDEX - 2])
CURRENT... | flexible | {
"blob_id": "50fa8852f74f4d2428fb238a86dd1feedb210877",
"index": 3261,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef check_fibonacci_number():\n global CURRENT_INDEX\n while fib_list[CURRENT_INDEX - 1] < NUMBER_TO_BE_CHECKED:\n fib_list.append(fib_list[CURRENT_INDEX - 1] + fib_list[... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def loadWavFile(fileName, filePath, savePlot, maxAudioLength, reduceNoise=True
):
data, rate = librosa.load(filePath, sr=None)
if reduceNoise:
noiseRemovedData = noisereduce.reduce_noise(audio_clip=data,
... | flexible | {
"blob_id": "07ac061d7d1eaf23b6c95fbcbf6753f25e568188",
"index": 157,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef loadWavFile(fileName, filePath, savePlot, maxAudioLength, reduceNoise=True\n ):\n data, rate = librosa.load(filePath, sr=None)\n if reduceNoise:\n noiseRemovedData ... | [
0,
1,
2,
3
] |
# square environment. there are the wall at the edge
from environment import super_environment
class SquareNormal(super_environment.Environment):
def __init__(self, size_x, size_y):
super().__init__(size_x, size_y)
@staticmethod
def environment_type():
return 'square'
def get_convert... | normal | {
"blob_id": "919f1746bfdec61f5e81e6ce0e17bb3bf040230a",
"index": 2958,
"step-1": "<mask token>\n\n\nclass SquareNormal(super_environment.Environment):\n <mask token>\n\n @staticmethod\n def environment_type():\n return 'square'\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass SquareNorm... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
class Deck:
def __init__(self, num_cols, front, back):
self.flashcards = []
self.num_cols = num_cols
self.front = front
self.back = back
class Flashcard:
def __init__(self, deck, front, back, column, row):
self.deck = deck
self.f... | flexible | {
"blob_id": "d5903698eb8ed6be531b0cc522d4feff6b79da4e",
"index": 954,
"step-1": "<mask token>\n\n\nclass Deck:\n\n def __init__(self, num_cols, front, back):\n self.flashcards = []\n self.num_cols = num_cols\n self.front = front\n self.back = back\n\n\nclass Flashcard:\n\n def _... | [
8,
17,
18,
19,
20
] |
class Tienda:
def __init__(self, nombre_tienda, lista_productos = []):
self.nombre_tienda = nombre_tienda
self.lista_productos = lista_productos
def __str__(self):
return f"Nombre de la Tienda: {self.nombre_tienda}\nLista de Productos: {self.lista_productos}\n"
def anhadir_prod... | normal | {
"blob_id": "0ae5d20b78bf7c23418de55ffd4d81cd5284c6d5",
"index": 8912,
"step-1": "class Tienda:\n\n def __init__(self, nombre_tienda, lista_productos=[]):\n self.nombre_tienda = nombre_tienda\n self.lista_productos = lista_productos\n <mask token>\n\n def anhadir_producto(self, producto_nu... | [
4,
5,
6,
7,
8
] |
from unittest import TestCase
from attendance import Member
__author__ = 'colin'
class TestMember(TestCase):
def test_here(self):
member = Member("John", "Doe")
self.assertFalse(member.attended)
member.here()
self.assertTrue(member.attended) | normal | {
"blob_id": "a6713a4edece14a88bd9c8ddd483ff8e16acdbcc",
"index": 9695,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass TestMember(TestCase):\n\n def test_here(self):\n member = Member('John', 'Doe')\n self.assertFalse(member.attended)\n member.here()\n self.assertT... | [
0,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
gpio.setmode(gpio.BOARD)
<|reserved_special_token_0|>
gpio.setup(pin, gpio.OUT)
gpio.output(pin, gpio.HIGH)
time.sleep(5)
gpio.output(pin, gpio.LOW)
time.sleep(1)
gpio.cleanup()
<|reserved_special_token_1|>
<|reserved_special_t... | flexible | {
"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
] |
number = int(input())
bonus = 0
if number <= 100:
bonus = 5
total_point = number + bonus
elif number > 1000:
bonus = 0.1 * number
total_point = number + bonus
else:
bonus = 0.2 * number
total_point = number + bonus
if number % 2 == 0:
bonus = bonus + 1
total_point = number + bonus
pr... | normal | {
"blob_id": "7ee3301b55d323d156bd394f8525e37502d19430",
"index": 7669,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif number <= 100:\n bonus = 5\n total_point = number + bonus\nelif number > 1000:\n bonus = 0.1 * number\n total_point = number + bonus\nelse:\n bonus = 0.2 * number\n t... | [
0,
1,
2
] |
import re
# Class with static regex compilations
class RegexCompiles:
# regex for finding product-id in an EMAG link
re_compile_product_id = re.compile('Product-Id=[0-9]*')
# regex for finding the first number
re_compile_id = re.compile('[0-9]+')
# Verifies if a word exists in a text
def find_whole_... | normal | {
"blob_id": "b1c06e9c5516a378c0bbce2ce9e17afaeae01928",
"index": 668,
"step-1": "<mask token>\n\n\nclass RegexCompiles:\n re_compile_product_id = re.compile('Product-Id=[0-9]*')\n re_compile_id = re.compile('[0-9]+')\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass RegexCompiles:\n re_compile_... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
def get_config(p, section, key, env_var, default, boolean=False, integer=
False, floating=False, islist=False):
""" return a configuration variable with casting """
value = _get_config(p, section, key, env_var, default)
if boolean:
return mk_boolean(value)
if v... | flexible | {
"blob_id": "63bd8a15dd489844968f46c4b0ffe157d567537a",
"index": 8044,
"step-1": "<mask token>\n\n\ndef get_config(p, section, key, env_var, default, boolean=False, integer=\n False, floating=False, islist=False):\n \"\"\" return a configuration variable with casting \"\"\"\n value = _get_config(p, sect... | [
4,
5,
6,
7,
8
] |
class Solution(object):
def sortArrayByParityII(self, A):
"""
:type A: List[int]
:rtype: List[int]
"""
i = 0
for j in range(1, len(A), 2):
if A[j] % 2 == 1:
continue
else:
while i + 2 < len(A) and A[i] % 2 == 0:... | normal | {
"blob_id": "429af603bf8f1c003799c3d94c0ce9a2c2f80dfc",
"index": 3835,
"step-1": "<mask token>\n",
"step-2": "class Solution(object):\n <mask token>\n",
"step-3": "class Solution(object):\n\n def sortArrayByParityII(self, A):\n \"\"\"\n :type A: List[int]\n :rtype: List[int]\n ... | [
0,
1,
2
] |
from os import getenv
config_env = {'api_port': int(getenv('API_PORT')), 'psg_uri': getenv('PSG_URI')
}
| normal | {
"blob_id": "21dd3d1deb00e9bc09803d01f1c05673ea8d25d2",
"index": 3771,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nconfig_env = {'api_port': int(getenv('API_PORT')), 'psg_uri': getenv('PSG_URI')\n }\n",
"step-3": "from os import getenv\nconfig_env = {'api_port': int(getenv('API_PORT')), 'psg_uri'... | [
0,
1,
2
] |
class default_locations:
mc_2016_data_directory = "/afs/hephy.at/data/cms06/nanoTuples/"
mc_2016_postProcessing_directory = "stops_2016_nano_v0p23/dilep/"
data_2016_data_directory = "/afs/hephy.at/data/cms07/nanoTuples/"
data_2016_postProcessing_directory = "stops_2016_nan... | normal | {
"blob_id": "b6df9414f99294c7986d3eb5332d40288f059cd1",
"index": 1245,
"step-1": "class default_locations:\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 <mask token>\n <ma... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class simpleLSTM:
<|reserved_special_token_0|>
def create_dataset(self, dataset, look_back=4):
dataX, dataY = [], []
for i in range(len(dataset) - look_back - 1):
a = dataset.iloc[i:i + look_back]
dataX.append(a)
dataY.append(da... | flexible | {
"blob_id": "97ea837961c92b5c92a93ec33ac016de7ff1e876",
"index": 2449,
"step-1": "<mask token>\n\n\nclass simpleLSTM:\n <mask token>\n\n def create_dataset(self, dataset, look_back=4):\n dataX, dataY = [], []\n for i in range(len(dataset) - look_back - 1):\n a = dataset.iloc[i:i + ... | [
4,
7,
8,
9,
10
] |
class Solution:
def getDescentPeriods(self, prices: List[int]) -> int:
ans = 1 # prices[0]
dp = 1
for i in range(1, len(prices)):
if prices[i] == prices[i - 1] - 1:
dp += 1
else:
dp = 1
ans += dp
return ans
| normal | {
"blob_id": "d10468d2d0aefa19a7d225bfffad03ec6cb6e082",
"index": 4079,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n",
"step-3": "class Solution:\n\n def getDescentPeriods(self, prices: List[int]) ->int:\n ans = 1\n dp = 1\n for i in range(1, len(prices)):... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
__all__ = ['JWTClient', 'get_domain', 'authenticated_users_only']
<|reserved_special_token_1|>
from .hailjwt import JWTClient, get_domain, authenticated_users_only
__all__ = ['JWTClient', 'get_domain', 'authenticated_users_only... | flexible | {
"blob_id": "39fb8d9f93be1e6c1ed2a425d14061737d643ab6",
"index": 9330,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n__all__ = ['JWTClient', 'get_domain', 'authenticated_users_only']\n",
"step-3": "from .hailjwt import JWTClient, get_domain, authenticated_users_only\n__all__ = ['JWTClient', 'get_domai... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if os.environ.get('MOCKPROGRAM_INOUT_FILE_OVERRIDE'):
mockProgramInOutFilePath = os.environ.get('MOCKPROGRAM_INOUT_FILE_OVERRIDE'
)
else:
mockProgramInOutFilePath = '.mockprogram_inout.txt'
if not os.path.exists(mo... | flexible | {
"blob_id": "550f5ad4fef77d5795db0393ae0701f679143e72",
"index": 221,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif os.environ.get('MOCKPROGRAM_INOUT_FILE_OVERRIDE'):\n mockProgramInOutFilePath = os.environ.get('MOCKPROGRAM_INOUT_FILE_OVERRIDE'\n )\nelse:\n mockProgramInOutFilePath = '.m... | [
0,
1,
2,
3,
4
] |
import turtle
import math
from tkinter import *
#活性边表节点：
class AetNode(object):
def __init__(self,x,tx,my):
self.x=x
self.tx=tx
self.my=my
def op(self):
return self.x
class AetList(object):
def __init__(self,y):
self.y=y
self.numy=0
self.l=[]
p... | normal | {
"blob_id": "0a7a95755924fd264169286cc5b5b7587d7ee8e4",
"index": 4608,
"step-1": "<mask token>\n\n\nclass AetNode(object):\n\n def __init__(self, x, tx, my):\n self.x = x\n self.tx = tx\n self.my = my\n\n def op(self):\n return self.x\n\n\nclass AetList(object):\n\n def __ini... | [
8,
10,
11,
12,
14
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for banner_span in list_of_banners:
print(f"{banner_span['id']}, {x_count}, {y_count}")
x_count += 1
if x_count == 51:
x_count = 1
y_count += 1
print('\n\n-----------------')
<|reserved_specia... | flexible | {
"blob_id": "e60d57e8884cba8ce50a571e3bd0affcd4dcaf68",
"index": 4056,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor banner_span in list_of_banners:\n print(f\"{banner_span['id']}, {x_count}, {y_count}\")\n x_count += 1\n if x_count == 51:\n x_count = 1\n y_count += 1\n ... | [
0,
1,
2,
3,
4
] |
from functools import reduce
from collections import defaultdict
def memory(count: int, start_numbers: list):
numbers = defaultdict(lambda: tuple(2 * [None]), { el: (idx,None ) for idx,el in enumerate(start_numbers) })
last = start_numbers[-1]
for idx in range(len(numbers), count):
last = 0 if None... | normal | {
"blob_id": "0f0adde7241898d2efe7e2b5cc218e42ed7b73d8",
"index": 5475,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef memory(count: int, start_numbers: list):\n numbers = defaultdict(lambda : tuple(2 * [None]), {el: (idx, None) for \n idx, el in enumerate(start_numbers)})\n last = st... | [
0,
1,
2,
3,
4
] |
<|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": "211ef4c64e42c54423ac8dab2128952874a2cf5a",
"index": 7694,
"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 = [('system', '0... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class UpdatePurchaseFood(forms.ModelForm):
class Meta:
model = purchase_cards
fields = ['food_name', 'description', 'ss_code', 'calorie', 'fat',
'protein', 'carbs', 'image_path']
<|reserved_sp... | flexible | {
"blob_id": "3a1b0b9891fec7b3d722f77cd2f3f6efa878a7a0",
"index": 4255,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass UpdatePurchaseFood(forms.ModelForm):\n\n\n class Meta:\n model = purchase_cards\n fields = ['food_name', 'description', 'ss_code', 'calorie', 'fat',\n ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
admin.site.register(Hash)
<|reserved_special_token_1|>
from django.contrib import admin
from .models import Hash
admin.site.register(Hash)
| flexible | {
"blob_id": "e2e4adaa8f7f62662e0c2915faff1bed72986351",
"index": 1084,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nadmin.site.register(Hash)\n",
"step-3": "from django.contrib import admin\nfrom .models import Hash\nadmin.site.register(Hash)\n",
"step-4": null,
"step-5": null,
"step-ids": [
... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class GraphTupleData(Base, sqlutil.PluralTablenameFromCamelCapsClassNameMixin):
<|reserved_special_token_0|>
id: int = sql.Column(sql.Integer, sql.ForeignKey('graph_tuples.id',
onupdate='CASCADE', ondelete='CASCADE'), primary_key=True)
sha1: str = sql.Column(sql.String... | flexible | {
"blob_id": "09788cf04ab5190a33b43e3756f4dbd7d78977a5",
"index": 581,
"step-1": "<mask token>\n\n\nclass GraphTupleData(Base, sqlutil.PluralTablenameFromCamelCapsClassNameMixin):\n <mask token>\n id: int = sql.Column(sql.Integer, sql.ForeignKey('graph_tuples.id',\n onupdate='CASCADE', ondelete='CASC... | [
40,
44,
48,
54,
63
] |
<|reserved_special_token_0|>
def fetch_images_from_db(chat_id, keyword_id, keyword_n, db, shared_dict):
search = False
if str(chat_id) + str(keyword_id) + 'db' in shared_dict:
print('%s for group %s already in progress, sleeping for a while' %
(keyword_id, chat_id))
time.sleep(unif... | flexible | {
"blob_id": "98dd7446045f09e6d709f8e5e63b0a94341a796e",
"index": 3158,
"step-1": "<mask token>\n\n\ndef fetch_images_from_db(chat_id, keyword_id, keyword_n, db, shared_dict):\n search = False\n if str(chat_id) + str(keyword_id) + 'db' in shared_dict:\n print('%s for group %s already in progress, sle... | [
4,
5,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def runWeka(wekapath, modelpath, datapath):
os.chdir(wekapath)
proc = subprocess.Popen(['/usr/bin/java', '-classpath', 'weka.jar',
'weka.classifiers.functions.MultilayerPerceptron', '-l', modelpath,
'-T',... | flexible | {
"blob_id": "a1f0eced5d122fe8557ebc4d707c87b4194513e3",
"index": 4976,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef runWeka(wekapath, modelpath, datapath):\n os.chdir(wekapath)\n proc = subprocess.Popen(['/usr/bin/java', '-classpath', 'weka.jar',\n 'weka.classifiers.functions.Multi... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
ii = [('CookGHP3.py', 1), ('AubePRP2.py', 1), ('WilkJMC3.py', 1), (
'LeakWTI3.py', 1), ('AubePRP.py', 2), ('GellWPT.py', 2), ('AdamWEP.py',
1), ('KiddJAE.py', 1), ('CoolWHM.py', 1), ('WadeJEB.py', 1), (
'SoutRD.py', 2), ('WheeJPT.py', 1), ('HowiWR... | flexible | {
"blob_id": "dce496c9ae6605e95ffbbb2885ec15b19fb756ef",
"index": 2799,
"step-1": "<mask token>\n",
"step-2": "ii = [('CookGHP3.py', 1), ('AubePRP2.py', 1), ('WilkJMC3.py', 1), (\n 'LeakWTI3.py', 1), ('AubePRP.py', 2), ('GellWPT.py', 2), ('AdamWEP.py',\n 1), ('KiddJAE.py', 1), ('CoolWHM.py', 1), ('WadeJEB... | [
0,
1
] |
import struct
from coapthon import defines
from coapthon.utils import byte_len, bit_len, parse_blockwise
__author__ = 'Giacomo Tanganelli'
__version__ = "2.0"
class BlockwiseLayer(object):
"""
Handles the Blockwise feature.
"""
def __init__(self, parent):
"""
Initialize a Blockwise L... | normal | {
"blob_id": "70d740a7003ca3f2d2cde039b2fc470ef2165e77",
"index": 7078,
"step-1": "<mask token>\n\n\nclass BlockwiseLayer(object):\n <mask token>\n\n def __init__(self, parent):\n \"\"\"\n Initialize a Blockwise Layer.\n\n :type parent: coapserver.CoAP\n :param parent: the CoAP s... | [
5,
6,
7,
8,
9
] |
<|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": "ea918bdf96572b38461dc1810bd0b8c16efd0f0d",
"index": 5786,
"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 = [('driver', '0... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main():
tokens = Lexer()
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main():
tokens = Lexer()
if __name__ == '__main__':
sys.path.append('Lib')
from lex... | flexible | {
"blob_id": "d081abf3cd9bc323486772b4f6235fbbc9022099",
"index": 5498,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n tokens = Lexer()\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef main():\n tokens = Lexer()\n\n\nif __name__ == '__main__':\n sys.path.append('Lib')\n ... | [
0,
1,
2,
3
] |
<|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": "71ffad81bcbc480dc0a750680bc72e1d5c48556a",
"index": 3619,
"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 = [('fotbal', '0... | [
0,
1,
2,
3,
4
] |
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