code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
# encoding=utf8
import json
import time
from util import http_util
available = 1
disable = 0
# 交易所域名
REST_URL = "https://api.bithumb.com"
PAYMENT_CURRENCY_BTC = "BTC"
PAYMENT_CURRENCY_KRW = "KRW"
# 成功码
SUCCESS_CODE = "0000"
# 没有交易对的错误码
NO_SYMBOL_CODE = ["5600", "5500"]
# bithumb提现的最小值，获取地址：https://apidocs.bithumb... | normal | {
"blob_id": "f268dc4c2ae2c17e7d0d3921d29e6b952fc63c7d",
"index": 9802,
"step-1": "<mask token>\n\n\ndef get_ticker(order_currency, payment_currency):\n \"\"\"\n 获取指定交易对的ticker信息：https://apidocs.bithumb.com/docs/ticker\n https://api.bithumb.com/public/ticker/BTC_KRW\n :return:\n {\n \"status\":\... | [
3,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
@app.route('/')
def index():
return os.getenv('DB_HOST')
<|reserved_special_token_1|>
<|reserved_special_token_0|>
load_dotenv(verbose=True)
<|reserved_special_token_0|>
if bool(os.getenv('IS_DEV')):
logger = logging.getLogger('orator.connection.queries')
logger.setLevel(lo... | flexible | {
"blob_id": "f20e2227821c43de17c116d8c11233eda53ab631",
"index": 9967,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef index():\n return os.getenv('DB_HOST')\n",
"step-2": "<mask token>\nload_dotenv(verbose=True)\n<mask token>\nif bool(os.getenv('IS_DEV')):\n logger = logging.getLogger('orator.connecti... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def puissance(x, n):
if n == 0:
return 1
else:
return x * puissance(x, n - 1)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def puissance(x, n):
if n ==... | flexible | {
"blob_id": "beccae96b3b2c9dcd61bb538d07b85441a73662e",
"index": 9968,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef puissance(x, n):\n if n == 0:\n return 1\n else:\n return x * puissance(x, n - 1)\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef puissance(x, n):\n ... | [
0,
1,
2,
3,
4
] |
import os
import sys
import socket
__target__ = '${EXTERNAL_HOST}'
sources = {}
def process_the_source(fname, dest=None, host_ip=None, verbose=False):
assert (os.path.exists(fname) and os.path.isfile(fname)), 'Cannot proceed without the fname in process_the_source().'
the_lines = []
with open(fname, 'r')... | normal | {
"blob_id": "d6af9a75fbe8bdf1a81a352cee71ac81fb373b86",
"index": 9926,
"step-1": "<mask token>\n\n\ndef process_the_source(fname, dest=None, host_ip=None, verbose=False):\n assert os.path.exists(fname) and os.path.isfile(fname\n ), 'Cannot proceed without the fname in process_the_source().'\n the_li... | [
1,
2,
3,
4,
5
] |
# Turn off bytecode generation
import sys
from asgiref.sync import sync_to_async
from django.core.wsgi import get_wsgi_application
sys.dont_write_bytecode = True
# Django specific settings
import os
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "settings")
import django
django.setup()
from db import models
de... | normal | {
"blob_id": "4afb556ceca89eb90ba800db4f383afad1cd42a5",
"index": 3765,
"step-1": "<mask token>\n\n\ndef print_all_models():\n return models.Sample.objects.all()\n\n\n@sync_to_async\ndef _create_record(name):\n return models.Sample.objects.create(name=name)\n\n\n<mask token>\n",
"step-2": "<mask token>\no... | [
2,
3,
4,
5,
6
] |
""""""
import random
import nbformat
from textwrap import dedent
from pybryt.preprocessors import IntermediateVariablePreprocessor
def test_preprocessor():
"""
"""
nb = nbformat.v4.new_notebook()
nb.cells.append(nbformat.v4.new_code_cell(dedent("""\
a = True
b = False
f = la... | normal | {
"blob_id": "d9f08e770dacaa86a03d553afd78fdcd725efb62",
"index": 5204,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_preprocessor():\n \"\"\"\n \"\"\"\n nb = nbformat.v4.new_notebook()\n nb.cells.append(nbformat.v4.new_code_cell(dedent(\n \"\"\" a = True\n b... | [
0,
1,
2,
3
] |
from abc import ABCMeta, abstractmethod
from datetime import datetime
from enum import Enum
from application.response import ResponseError
class ModelBase:
__metaclass__ = ABCMeta
@classmethod
@abstractmethod
def _get_cls_schema(cls):
pass
def __new__(cls, schema):
if schema is ... | normal | {
"blob_id": "5917c891d2885f779dc33f189f1a875efbd0c302",
"index": 163,
"step-1": "<mask token>\n\n\nclass ModelBase:\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, schema):\n self.schema = schema\n <mask token>\n\n @property\n def uid(self):\n return self.sc... | [
6,
8,
9,
12,
13
] |
<|reserved_special_token_0|>
class BondCover(CoverEntity):
<|reserved_special_token_0|>
def __init__(self, bond: Bond, device: BondDevice):
"""Create HA entity representing Bond cover."""
self._bond = bond
self._device = device
@property
def device_class(self) ->Optional[str]... | flexible | {
"blob_id": "ba9d7b877eda3f7469db58e2ee194b601e3c3e08",
"index": 4227,
"step-1": "<mask token>\n\n\nclass BondCover(CoverEntity):\n <mask token>\n\n def __init__(self, bond: Bond, device: BondDevice):\n \"\"\"Create HA entity representing Bond cover.\"\"\"\n self._bond = bond\n self._d... | [
10,
11,
12,
14,
15
] |
<|reserved_special_token_0|>
class Memory:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class DesignTracker:
def __init__(self, epochs, **kwargs):
"""
This class tracks the best designs discovered.
"""
if epochs == -1:
... | flexible | {
"blob_id": "f23bc0c277967d8e7a94a49c5a81ed5fb75d36cc",
"index": 9327,
"step-1": "<mask token>\n\n\nclass Memory:\n <mask token>\n <mask token>\n\n\n<mask token>\n\n\nclass DesignTracker:\n\n def __init__(self, epochs, **kwargs):\n \"\"\"\n This class tracks the best designs discovered.\n ... | [
11,
16,
20,
22,
26
] |
<|reserved_special_token_0|>
class Ticket(models.Model):
<|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|>
<|reserved_special_token_0... | flexible | {
"blob_id": "64fd597918fe8133d53d1df741512cd2e49a111d",
"index": 1252,
"step-1": "<mask token>\n\n\nclass Ticket(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 ... | [
20,
22,
27,
29,
32
] |
count = 0
maximum = -1
m = -1
while m != 0:
m = int(input())
if m > maximum:
maximum = m
count = 1
elif m == maximum:
count += 1
print(count)
| normal | {
"blob_id": "0e1ea8c7fba90c1b5d18eaa399b91f237d4defee",
"index": 2568,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile m != 0:\n m = int(input())\n if m > maximum:\n maximum = m\n count = 1\n elif m == maximum:\n count += 1\nprint(count)\n",
"step-3": "count = 0\nmaxi... | [
0,
1,
2
] |
<|reserved_special_token_0|>
def _load_credentials(creds_file=None):
"""Loads the credentials from a credentials.json file or by prompting for authentication.
Returns a credentials object to be used by the Google Sheets API.
"""
creds = None
if not creds_file:
creds_file = 'credentials.jso... | flexible | {
"blob_id": "0ed0fb6f9bcc768bb005222c9ae9b454f6d962ec",
"index": 9148,
"step-1": "<mask token>\n\n\ndef _load_credentials(creds_file=None):\n \"\"\"Loads the credentials from a credentials.json file or by prompting for authentication.\n Returns a credentials object to be used by the Google Sheets API.\n ... | [
7,
10,
11,
12,
13
] |
with open("file.txt", 'r') as fh:
data = fh.readline()
lis= data.split(' ')
my_dict={}
for key in lis:
if key in my_dict.keys():
my_dict[key] += 1
else:
my_dict[key] = 1
print(my_dict)
| normal | {
"blob_id": "8cd582915c5abd96a4ef8a3a5309311f2a73a156",
"index": 460,
"step-1": "<mask token>\n",
"step-2": "with open('file.txt', 'r') as fh:\n data = fh.readline()\n<mask token>\nfor key in lis:\n if key in my_dict.keys():\n my_dict[key] += 1\n else:\n my_dict[key] = 1\nprint(my_dict)\... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class PickleZLibHandler(IHandler):
@staticmethod
def dumps(obj, protocol=pickle.HIGHEST_PROTOCOL, level=zlib.
Z_DEFAULT_COMPRESSION):
pickled = pickle.dumps(obj, protocol=protocol)
compressed = zlib.compress(pickled, level)
return compressed
@... | flexible | {
"blob_id": "60202758a0a42fc26dc1bca9f134a70f28967093",
"index": 2728,
"step-1": "<mask token>\n\n\nclass PickleZLibHandler(IHandler):\n\n @staticmethod\n def dumps(obj, protocol=pickle.HIGHEST_PROTOCOL, level=zlib.\n Z_DEFAULT_COMPRESSION):\n pickled = pickle.dumps(obj, protocol=protocol)\n ... | [
8,
9,
10,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for d, dirs, files in os.walk(top):
for f in files:
i = f.find('.')
if i == -1:
i = 0
suf = f[i:]
rec = cnts.setdefault(suf, [0, 0])
fn = d + '/' + f
if os.path.islin... | flexible | {
"blob_id": "06aa2d261e31dfe2f0ef66dca01c1fe3db1ca94e",
"index": 7940,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor d, dirs, files in os.walk(top):\n for f in files:\n i = f.find('.')\n if i == -1:\n i = 0\n suf = f[i:]\n rec = cnts.setdefault(suf, [0, 0])\... | [
0,
1,
2,
3,
4
] |
import pytest
import kdlc
from shutil import rmtree
import os
# from .context import kdlc
test_generated_dir = os.path.dirname(__file__) + "/generated/"
@pytest.fixture(scope="session")
def my_setup(request):
print("\nDoing setup")
def fin():
print("\nDoing teardown")
if os.path.exists(tes... | normal | {
"blob_id": "7ff029e2f0054146e438f4e4f13269e83e28c469",
"index": 8727,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@pytest.fixture(scope='session')\ndef my_setup(request):\n print('\\nDoing setup')\n\n def fin():\n print('\\nDoing teardown')\n if os.path.exists(test_generated_d... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Augmentor:
<|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 Augmentor:
def __init__(self) ->N... | flexible | {
"blob_id": "4a88ce640b6680df925288b44232cf43d585c11c",
"index": 669,
"step-1": "<mask token>\n\n\nclass Augmentor:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Augmentor:\n\n def __init__(self) ->None:\n self.__AUGME... | [
1,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
views = Blueprint('views', __name__)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
from flask import Blueprint
views = Blueprint('views', __name__)
from . import routes
| flexible | {
"blob_id": "139ccdaf7acb2a2d74649f0c32217d1fe71a954a",
"index": 4800,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nviews = Blueprint('views', __name__)\n<mask token>\n",
"step-3": "from flask import Blueprint\nviews = Blueprint('views', __name__)\nfrom . import routes\n",
"step-4": null,
"step-5... | [
0,
1,
2
] |
import pygame
import sys
import time
import random
from snake_gym.envs.modules import *
from pygame.locals import *
import numpy as np
class SnakeGame(object):
def __init__(self):
self.screen = pygame.display.set_mode((SCREEN_WIDTH, SCREEN_HEIGHT),
0, 32)
self.surface = pygame.Surface... | normal | {
"blob_id": "6d61df9ac072100d01a1ce3cf7b4c056f66a163c",
"index": 502,
"step-1": "<mask token>\n\n\nclass SnakeGame(object):\n <mask token>\n\n def reset(self):\n return SnakeGame._get_image(self.surface)\n\n def step(self, key):\n length = self.snake.length\n for event in pygame.eve... | [
3,
4,
5,
6
] |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | normal | {
"blob_id": "8e26a6b50539fa5f498aa2079a2625214e5b4d03",
"index": 5919,
"step-1": "<mask token>\n\n\nclass DagRunnableReportingThread(StoppableThread, LoggingMixin):\n\n def __init__(self, async_mode: bool, dag_file_processor_agent, mailbox:\n Mailbox, *args, **kwargs):\n super(DagRunnableReporti... | [
13,
19,
20,
22,
24
] |
"""Add uri on identity provider
Revision ID: 52561c782d96
Revises: cdf9f34b764c
Create Date: 2022-03-11 10:16:39.583434
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '52561c782d96'
down_revision = 'cdf9f34b764c'
branch_labels = None
depends_on = None
def up... | normal | {
"blob_id": "c185a88332e39c561649f087f01fd3b704e7010b",
"index": 1959,
"step-1": "<mask token>\n\n\ndef upgrade():\n bind = op.get_bind()\n urls = bind.execute(\n 'SELECT p.id as pid, r.id as rid, r.uri as uri FROM oauth2_identity_provider p JOIN resource r ON p.api_resource_id = r.id'\n )\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class JointModel(nn.Module):
def __init__(self, d_v, d_e, d_t, encoder_layers, generator_layers,
encoder_shortcut, generator_shortcut, generator_transform, num_word,
emb_size, word_rnn_size, word_rnn_num_layer, word_rnn_dropout,
word_rnn_bidirectional, word_at... | flexible | {
"blob_id": "4f3e297b6925f8d65aacaa59bb837e746747c33f",
"index": 2608,
"step-1": "<mask token>\n\n\nclass JointModel(nn.Module):\n\n def __init__(self, d_v, d_e, d_t, encoder_layers, generator_layers,\n encoder_shortcut, generator_shortcut, generator_transform, num_word,\n emb_size, word_rnn_siz... | [
5,
6,
8,
11,
12
] |
from tkinter import *
from tkinter import messagebox as mb
from tkinter.scrolledtext import ScrolledText
from tkinter import filedialog as fd
from child_window import ChildWindow
# from PIL import Image as PilImage
# from PIL import ImageTk, ImageOps
class Window:
def __init__(self, width, height, title="MyWindow... | normal | {
"blob_id": "02d4e1ddb0b4cf75c9902e13263c5a80417de01b",
"index": 6530,
"step-1": "<mask token>\n\n\nclass Window:\n\n def __init__(self, width, height, title='MyWindow', resizable=(False, \n False), icon='resources/feather.ico'):\n self.root = Tk()\n self.root.title(title)\n self.r... | [
8,
9,
10,
12,
14
] |
<|reserved_special_token_0|>
def standev(vals):
mean = avg(vals)
var = sum([((x - mean) ** 2) for x in vals]) / float(len(vals) - 1)
return sqrt(var)
<|reserved_special_token_0|>
def read_csv(file_name):
data = list()
with open(file_name, 'r') as file:
csv = reader(file)
for ro... | flexible | {
"blob_id": "f92a1398a27541557ec5bbf752d44ce40d1df94a",
"index": 4131,
"step-1": "<mask token>\n\n\ndef standev(vals):\n mean = avg(vals)\n var = sum([((x - mean) ** 2) for x in vals]) / float(len(vals) - 1)\n return sqrt(var)\n\n\n<mask token>\n\n\ndef read_csv(file_name):\n data = list()\n with ... | [
9,
11,
12,
18,
19
] |
# -*- coding: utf-8 -*-
from django.contrib.auth import logout, login, authenticate
from django.contrib.auth.models import User
from django.http import HttpResponse, Http404, HttpResponseRedirect
from django.middleware.csrf import get_token
from django.template.context import Context
from django.utils.translation impor... | normal | {
"blob_id": "11163dc99ee65ab44494c08d81e110e9c42390ae",
"index": 3130,
"step-1": "<mask token>\n\n\ndef main(request):\n c = base_context(request)\n template = get_template('index.html')\n c['title'] = _('Request')\n form = RequestForm()\n user = request.user\n c['user'] = user\n if user.is_... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class MacAgeTime(A10BaseClass):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class MacAgeTime(A10BaseClass):
<|reserved_special_token_0|>
def __init__(self, **kwargs):
self.ERROR_MSG = ''
... | flexible | {
"blob_id": "f08677430e54822abbce61d0cac5a6fea14d3872",
"index": 6078,
"step-1": "<mask token>\n\n\nclass MacAgeTime(A10BaseClass):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass MacAgeTime(A10BaseClass):\n <mask token>\n\n def __init__(self, **kwargs):\n self.ERROR_MSG... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def normalise(image):
dbl_image = image.astype(float)
mean = np.mean(dbl_image)
iplImage = cv2.cv.CreateImageHeader((image.shape[1], image.shape[0]),
cv2.cv.IPL_DEPTH_8U, 1)
cv2.cv.SetData(iplImage, image... | flexible | {
"blob_id": "f51d85ff352d9c84a8ded29ad94b24ca6dda46ad",
"index": 7593,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef normalise(image):\n dbl_image = image.astype(float)\n mean = np.mean(dbl_image)\n iplImage = cv2.cv.CreateImageHeader((image.shape[1], image.shape[0]),\n cv2.cv.IP... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class DuckList(generics.ListCreateAPIView):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class DuckList(generics.ListCreateAPIView):
<|reserved_special_token_0|>
<|... | flexible | {
"blob_id": "8334478c8b7fc7688477cdb837467e00e857c07c",
"index": 1196,
"step-1": "<mask token>\n\n\nclass DuckList(generics.ListCreateAPIView):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass DuckList(generics.ListCreateAPIView):\n <mask token>\n <mask token>\... | [
1,
2,
3,
4,
5
] |
# -* coding: utf-8 -*-
# A headless media player based on gstreamer.
from gi.repository import Gst
Gst.init(None)
class Player:
def __init__(self, uri=None):
# Creates a playbin (plays media from an uri).
self.player = Gst.ElementFactory.make('playbin', 'player')
self.uri = uri
@pro... | normal | {
"blob_id": "01e9ceb516a323a2017c65e368da419c6570dce2",
"index": 7304,
"step-1": "<mask token>\n\n\nclass Player:\n <mask token>\n\n @property\n def uri(self):\n return self._uri\n\n @uri.setter\n def uri(self, value):\n self._uri = value\n self.player.set_state(Gst.State.NULL... | [
3,
6,
8,
9,
10
] |
import sys
import os.path
root_dir = os.path.dirname(os.path.dirname(__file__))
jsondb_dir = os.path.join(root_dir, 'jsondb')
sys.path.append(jsondb_dir)
| normal | {
"blob_id": "eeb588a162fa222c0f70eb832a0026d0d8adbe9b",
"index": 6769,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsys.path.append(jsondb_dir)\n",
"step-3": "<mask token>\nroot_dir = os.path.dirname(os.path.dirname(__file__))\njsondb_dir = os.path.join(root_dir, 'jsondb')\nsys.path.append(jsondb_dir... | [
0,
1,
2,
3
] |
from django.contrib import admin
from pages.blog.models import Blog
admin.site.register(Blog)
| normal | {
"blob_id": "534aaf8371707089522af014a93f3ff6c4f913ff",
"index": 8510,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nadmin.site.register(Blog)\n",
"step-3": "from django.contrib import admin\nfrom pages.blog.models import Blog\nadmin.site.register(Blog)\n",
"step-4": null,
"step-5": null,
"step-... | [
0,
1,
2
] |
import cherrypy
import config
try:
from simplejson import json
except ImportError:
import json
import routes
import urllib
import re
def redirect(url, status=None):
"""Raise a redirect to the specified address.
"""
raise cherrypy.HTTPRedirect(url, status)
def require_method(*allowed_methods):
... | normal | {
"blob_id": "dc28d8aa17347f07041ae218bbe4e1b0add27c24",
"index": 5669,
"step-1": "<mask token>\n\n\ndef redirect(url, status=None):\n \"\"\"Raise a redirect to the specified address.\n\n \"\"\"\n raise cherrypy.HTTPRedirect(url, status)\n\n\ndef require_method(*allowed_methods):\n allowed_methods = l... | [
11,
13,
16,
19,
20
] |
class Type(object):
"""Type of values."""
def __init__(self, jtype):
self.jtype = jtype
def __repr__(self):
return self.jtype.toString()
def __str__(self):
return self.jtype.toPrettyString(False, False)
| normal | {
"blob_id": "851162e6c40a9f4f82a983a84fd0b4d6a6a57412",
"index": 3675,
"step-1": "class Type(object):\n <mask token>\n <mask token>\n <mask token>\n\n def __str__(self):\n return self.jtype.toPrettyString(False, False)\n",
"step-2": "class Type(object):\n <mask token>\n\n def __init__(... | [
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def get_parent(parent, x):
if parent[x] == x:
return x
parent[x] = get_parent(parent, parent[x])
return parent[x]
def union_parent(parent, a, b):
a = get_parent(parent, a)
b = get_parent(parent, b)
if a != b:
parent[b] = a
<|reserved_special_tok... | flexible | {
"blob_id": "2e794e281c6f34858cd32725cdc454eb18c28892",
"index": 3415,
"step-1": "<mask token>\n\n\ndef get_parent(parent, x):\n if parent[x] == x:\n return x\n parent[x] = get_parent(parent, parent[x])\n return parent[x]\n\n\ndef union_parent(parent, a, b):\n a = get_parent(parent, a)\n b ... | [
2,
3,
4,
5,
6
] |
class Bot(dict):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Bot(dict):
def __init__(self):
self['getRayon'] = 0
self['getPosition'] = -1000, ... | flexible | {
"blob_id": "d178818faf5fb18f5da48c1e2cf7991600731d06",
"index": 4457,
"step-1": "class Bot(dict):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\n<mask token>\n",
"step-2": "class Bot(dict):\n\n def __init__(self):\n self['getRayon'] = 0\n self['getPosition'] = -1... | [
1,
4,
5,
6,
7
] |
from .slinklist import SingleLinkedList
| normal | {
"blob_id": "2a5d498a386190bdd2c05bc2b14db0fecd707162",
"index": 1128,
"step-1": "<mask token>\n",
"step-2": "from .slinklist import SingleLinkedList\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
<|reserved_special_token_0|>
class ProjectTSEntry(models.Model):
description = models.CharField(max_length=150, default='')
project_time_sheet = models.ForeignKey(ProjectTS, related_name=
'project_time_sheet')
project_leader = models.ForeignKey(User, related_name='pl',
limit_choices_to={'i... | flexible | {
"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
] |
import turtle
pen = turtle.Turtle()
def curve():
for i in range(200):
pen.right(1)
pen.forward(1)
def heart():
pen.fillcolor('yellow')
pen.begin_fill()
pen.left(140)
pen.forward(113)
curve()
pen.left(120)
curve()
pen.forward(112)
pen.end_fill()
heart()
| normal | {
"blob_id": "fa925d0ef4f9df3fdf9a51c7fcc88933609bc9e3",
"index": 3980,
"step-1": "<mask token>\n\n\ndef curve():\n for i in range(200):\n pen.right(1)\n pen.forward(1)\n\n\ndef heart():\n pen.fillcolor('yellow')\n pen.begin_fill()\n pen.left(140)\n pen.forward(113)\n curve()\n ... | [
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
{'fs': {'eci': {'info': {'name': 'Example closed Interface extension',
'version': '1.0', 'date': 'Sept. 22, 2016', 'author': 'Jeff Teeters',
'contact': 'jteeters@berkeley.edu', 'description':
'Extension defining a new closed Interface'}, 'schema':... | flexible | {
"blob_id": "892f90edbd8bd54841b815a6bc29d136c5e84a38",
"index": 7175,
"step-1": "<mask token>\n",
"step-2": "{'fs': {'eci': {'info': {'name': 'Example closed Interface extension',\n 'version': '1.0', 'date': 'Sept. 22, 2016', 'author': 'Jeff Teeters',\n 'contact': 'jteeters@berkeley.edu', 'description':... | [
0,
1,
2
] |
"""
dansfunctions - various useful functions in python
usage:
>>import dansfunctions
>>dansfunctions.fg # module of general mathematical, vector and string format functions
>>dansfunctions.fp # module of matplotlib shortcuts
>>dansfunctions.widgets # module of tkinter shortcuts
Requirements: numpy
Optional requirem... | normal | {
"blob_id": "0f266db39988cfce475380036f4f4f5b1a1fee1a",
"index": 3647,
"step-1": "<mask token>\n\n\ndef version_info():\n return 'dansfunctions version %s (%s)' % (fg.__version__, fg.__date__)\n\n\n<mask token>\n\n\ndef check_general_functions():\n print('dansfunctions/functions_general.py')\n print('Ve... | [
4,
5,
6,
7,
8
] |
class Virus:
def __init__(self, _name, _age, _malignancy):
self.name = _name
self.age = _age
self.malignancy = _malignancy
def set_name(self, _name):
self.name = _name
def set_age(self, _age):
self.age = _age
def set_malignancy(self, _malignancy):
... | normal | {
"blob_id": "49c3c3b8c4b097f520456736e31ac306a9f73ac7",
"index": 3544,
"step-1": "class Virus:\n\n def __init__(self, _name, _age, _malignancy):\n self.name = _name\n self.age = _age\n self.malignancy = _malignancy\n\n def set_name(self, _name):\n self.name = _name\n\n def se... | [
5,
6,
7,
8,
9
] |
# Copyright (c) 2019 Jannika Lossner
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, dis... | normal | {
"blob_id": "e30bd33ae18881307e7cf4f60d3c60eae91573bc",
"index": 181,
"step-1": "<mask token>\n\n\nclass MultiSpeakerBRIR(SimpleFreeFieldHRIR):\n <mask token>\n <mask token>\n <mask token>\n\n def add_metadata(self, database):\n super().add_metadata(database)\n database.Data.Type = 'FIR... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
dot.edge('BaseException', 'SystemExit')
dot.edge('BaseException', 'KeyboardInterrupt')
dot.edge('BaseException', 'GeneratorExit')
dot.edge('BaseException', 'Exception')
dot.edge('Exception', 'StopIteration')
dot.edge('Exception', ... | flexible | {
"blob_id": "a7db627c49b53cd3a073d866a0373336a46b4053",
"index": 1088,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndot.edge('BaseException', 'SystemExit')\ndot.edge('BaseException', 'KeyboardInterrupt')\ndot.edge('BaseException', 'GeneratorExit')\ndot.edge('BaseException', 'Exception')\ndot.edge('Exce... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for seed in range(start_position, start_position + max_seeds):
cur_wins = 0
max_wins = 0
cur_losses = 0
max_losses = 0
win_streak = []
loss_streak = []
np.random.seed(seed)
start_time = timer()
... | flexible | {
"blob_id": "4c66ab6110e81bb88fc6916a1695e0f23e6e0e9d",
"index": 6754,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor seed in range(start_position, start_position + max_seeds):\n cur_wins = 0\n max_wins = 0\n cur_losses = 0\n max_losses = 0\n win_streak = []\n loss_streak = []\n ... | [
0,
1,
2,
3,
4
] |
from django import forms
from django.utils.translation import gettext_lazy as _
import django_filters
from elasticsearch_dsl.query import Q
class BaseSearchFilterSet(django_filters.FilterSet):
query_fields = ["content"]
q = django_filters.CharFilter(
method="auto_query",
widget=forms.TextInp... | normal | {
"blob_id": "f225fbf363f1b170704418ed339f2e57ca790975",
"index": 5317,
"step-1": "<mask token>\n\n\nclass BaseSearchFilterSet(django_filters.FilterSet):\n <mask token>\n <mask token>\n\n def __init__(self, *args, **kwargs):\n self.facet_config = kwargs.pop('facet_config', {})\n self.view =... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if __name__ == '__main__':
image = Image.open('../datas/xiaoren.png')
img = np.asarray(image)
print(img.shape)
imageNew = np.zeros((600, 100, 3))
imageNew = imageNew.astype(np.uint8)
misc.imsave('m.png', im... | flexible | {
"blob_id": "176120d4f40bc02b69d7283b7853b74adf369141",
"index": 4726,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n image = Image.open('../datas/xiaoren.png')\n img = np.asarray(image)\n print(img.shape)\n imageNew = np.zeros((600, 100, 3))\n imageNew = image... | [
0,
1,
2,
3
] |
import datetime
import json
import logging
from grab import Grab
from actions import get_course_gold, get_chat_type, get_indexes, group_chat_id
# logging.basicConfig(
# format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
# level=logging.DEBUG)
# logger = logging.getLogger(__name__)
results = None... | normal | {
"blob_id": "c4720eb5a42267970d3a98517dce7857c0ba8450",
"index": 8938,
"step-1": "<mask token>\n\n\ndef check_date():\n global results\n global date_post\n current_datetime = datetime.datetime.now()\n current_date = current_datetime.date()\n if date_post is not None:\n if date_post < curren... | [
4,
5,
6,
7,
9
] |
from email import encoders
from email.header import Header
from email.mime.text import MIMEText
from email.utils import parseaddr, formataddr
import smtplib
def _format_addr(s):
name, addr = parseaddr(s)
return formataddr((Header(name, 'UTF-8').encode(), addr))
from_addr = 'gaofeng4280@163.com'
to_addr = '1... | normal | {
"blob_id": "4dd71d01e499f3d0ee49d3bf5204fb3bbb03ede5",
"index": 2976,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef _format_addr(s):\n name, addr = parseaddr(s)\n return formataddr((Header(name, 'UTF-8').encode(), addr))\n\n\n<mask token>\nserver.set_debuglevel(1)\nserver.login()\nserver.... | [
0,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class FixtureBittrex:
<|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|>
<|... | flexible | {
"blob_id": "eba8e2bda786760898c10d3e75620144973d6236",
"index": 9555,
"step-1": "<mask token>\n",
"step-2": "class FixtureBittrex:\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>... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for line in packings_str.strip().splitlines():
line_items = line.split(' | ')
line_items = [s.strip() for s in line_items]
name, material, size, N, a, eps, CS, CFl, Ch, CP0, CL, CV = line_items
packings.append({'na... | flexible | {
"blob_id": "c4f656b96ddc86ab2575bd5ec646833cce95e6a9",
"index": 1717,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor line in packings_str.strip().splitlines():\n line_items = line.split(' | ')\n line_items = [s.strip() for s in line_items]\n name, material, size, N, a, eps, CS, CFl, Ch, CP0... | [
0,
1,
2,
3
] |
import pymongo
import os,sys
import re
from db_User import *
from db_Event import *
class ClassRoom:
# 链接本地客户端
__myclient = pymongo.MongoClient("mongodb://localhost:27017")
# 创建数据库
__mydb = __myclient["MMKeyDB"]
# 创建新的集合
__mycol = __mydb["ClassRoom"]
# 判断是否输入id或是输入name，如果有输入则转译
def ... | normal | {
"blob_id": "8dae8a89d08bc522f9a5fdde8aeb9e322fafcbec",
"index": 3251,
"step-1": "<mask token>\n\n\nclass ClassRoom:\n <mask token>\n <mask token>\n <mask token>\n\n def Name2Id(room_id, name):\n bool_n = bool(re.match('教\\\\d{1}-\\\\d{3}', name))\n bool_id = bool(re.match('B\\\\d{1}R\\... | [
7,
8,
10,
11,
12
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class CommentSerializer(serializers.ModelSerializer):
class Meta:
model = Comment
fields = '__all__'
class MessageSerializer(serializers.ModelSerializer):
class Meta:
model = Message
... | flexible | {
"blob_id": "536a67935527eb99bc0424613c9b931401db0b06",
"index": 6461,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass CommentSerializer(serializers.ModelSerializer):\n\n\n class Meta:\n model = Comment\n fields = '__all__'\n\n\nclass MessageSerializer(serializers.ModelSerialize... | [
0,
2,
3,
4,
5
] |
<|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": "09bf7460b2c928bf6e1346d9d1e2e1276540c080",
"index": 3099,
"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 = [('venue', '00... | [
0,
1,
2,
3,
4
] |
# - *- coding: utf- 8 - *-
import RPi.GPIO as io
import time
import math
io.setmode(io.BOARD)
hz = 50
dt = 1/hz
kr = 48
enc_res = 0.01636246
num_samples = 100
special_words = ['BackSpace', 'Tab', 'Enter', 'Cap', 'Shift2', 'Ctrl1',
'WIN1', 'Alt1', 'Alt2', 'WIN2', 'MClick', 'Ctrl2', 'Shift1', '\\']
L1... | normal | {
"blob_id": "ce1ef1ce538b8753af9e4b3e8e88f4cde9a2d860",
"index": 9620,
"step-1": "# - *- coding: utf- 8 - *-\r\n\r\nimport RPi.GPIO as io\r\nimport time\r\nimport math\r\n\r\nio.setmode(io.BOARD)\r\n\r\nhz = 50\r\ndt = 1/hz\r\nkr = 48\r\nenc_res = 0.01636246\r\nnum_samples = 100\r\nspecial_words = ['BackSpace', ... | [
0
] |
from os import walk
from ccal import VERSION
from setuptools import setup
package_data = []
for directory_path, directory_names, file_names in walk("data"):
for file_name in file_names:
package_data.append("{}/{}".format(directory_path, file_name))
setup(
name="ccal",
version=VERSION,
desc... | normal | {
"blob_id": "11d0e84767f7e9e4687962a3a5c58dc882cc4dd2",
"index": 1934,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor directory_path, directory_names, file_names in walk('data'):\n for file_name in file_names:\n package_data.append('{}/{}'.format(directory_path, file_name))\nsetup(name='cca... | [
0,
1,
2,
3,
4
] |
"""Admin module for Django."""
from django.contrib import admin
from django.utils.translation import gettext_lazy as _
from django_q.conf import Conf, croniter
from django_q.models import Failure, OrmQ, Schedule, Success
from django_q.tasks import async_task
class TaskAdmin(admin.ModelAdmin):
"""model admin for ... | normal | {
"blob_id": "5aebebb7f22e094a1a897b3266ff07d59400b76c",
"index": 2209,
"step-1": "<mask token>\n\n\nclass ScheduleAdmin(admin.ModelAdmin):\n \"\"\"model admin for schedules\"\"\"\n list_display = ('id', 'name', 'func', 'schedule_type', 'repeats',\n 'cluster', 'next_run', 'last_run', 'success')\n ... | [
10,
21,
22,
23,
26
] |
import itertools
def zbits(n,k):
zeros = "0" * k
ones = "1" * (n-k)
binary = ones+zeros
string = {''.join(i) for i in itertools.permutations(binary, n)}
return(string)
assert zbits(4, 3) == {'0100', '0001', '0010', '1000'}
assert zbits(4, 1) == {'0111', '1011', '1101', '1110'}
assert zbits(5, 4)... | normal | {
"blob_id": "a8d13c3fbf6051eba392bcdd6dcb3e946696585f",
"index": 9065,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef zbits(n, k):\n zeros = '0' * k\n ones = '1' * (n - k)\n binary = ones + zeros\n string = {''.join(i) for i in itertools.permutations(binary, n)}\n return string\n\n... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for b in range(1, w + 1):
print('*', end='')
print('')
for i in range(1, h - 1):
print('*', end='')
for j in range(1, w - 1):
print(' ', end='')
print('*', end='')
print('')
for b in range(1, w + 1):
... | flexible | {
"blob_id": "32b961f3971819fdbbe1a30fd7cf1883353c1854",
"index": 2294,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor b in range(1, w + 1):\n print('*', end='')\nprint('')\nfor i in range(1, h - 1):\n print('*', end='')\n for j in range(1, w - 1):\n print(' ', end='')\n print('*', ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in range(0, len(a)):
if a[i] < 5:
print(str(a[i]) + ' ')
i += 1
else:
i += 1
<|reserved_special_token_1|>
a = [1, 1, 2, 3, 4, 4, 5, 7, 12, 30, 49]
for i in range(0, len(a)):
if a[i] < 5... | flexible | {
"blob_id": "24635989ccdb0f35f1e618dd8dc07f2cf84faddb",
"index": 6621,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(0, len(a)):\n if a[i] < 5:\n print(str(a[i]) + ' ')\n i += 1\n else:\n i += 1\n",
"step-3": "a = [1, 1, 2, 3, 4, 4, 5, 7, 12, 30, 49]\nfor i in... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class TCP:
<|reserved_special_token_0|>
def connect(self, host, port):
server_address = host, port
print('connecting to {} port {}'.format(*server_address))
self.sock.connect(server_address)
def send(self, value, convergence=False):
"""Send on... | flexible | {
"blob_id": "cc66dcd34115e72479953ca24f4b2eaeb52cf313",
"index": 7747,
"step-1": "<mask token>\n\n\nclass TCP:\n <mask token>\n\n def connect(self, host, port):\n server_address = host, port\n print('connecting to {} port {}'.format(*server_address))\n self.sock.connect(server_address)... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def checkio(data):
return True or False
<|reserved_special_token_1|>
'''
Given an expression with numbers, brackets and operators. But in this task only brackets are important. Brackets can be one of three types -- "{}" "... | flexible | {
"blob_id": "f69b4d022ebed5a0b660f55704bbe762d5d765d5",
"index": 1332,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef checkio(data):\n return True or False\n",
"step-3": "'''\nGiven an expression with numbers, brackets and operators. But in this task only brackets are important. Brackets can... | [
0,
1,
2
] |
# -*- coding: utf-8 -*-
from lxml import etree
if __name__ == '__main__':
# xpath可以解析网页中的内容，html或者xml类型的文件都是<>开头结尾，层次非常明显
# data = '''<div>
# <ul>
# <li class="item-0"><a href="http://www.baidu.com">百度</a></li>
# <li class="item-1"><a href="http://www.baidu.com">百度</a></li>
... | normal | {
"blob_id": "52c356b903b1fbb8cbf24c899ed86d7bf134a821",
"index": 6387,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n tree = etree.parse('./data.html')\n result = tree.xpath('//div[@id=\"p\"]//li')\n for r in result:\n print('--------', etree.tostring(r, encod... | [
0,
1,
2,
3
] |
#Import Discord Package
import discord
from discord.ext import commands
import asyncio
import glob
from dotenv import load_dotenv
import os
load_dotenv() # Load your Discord Token
TOKEN = os.getenv("TOKEN")
bot = commands.Bot(command_prefix='.',case_insensitive=True)
print('Ready!')
@bot.command()
async def stop... | normal | {
"blob_id": "41842e8b75860c65e87e9db1f7ae058957e37e45",
"index": 1822,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nload_dotenv()\n<mask token>\nprint('Ready!')\n\n\n@bot.command()\nasync def stop(ctx):\n await ctx.message.delete()\n await ctx.voice_client.disconnect()\n\n\n@bot.command()\nasync ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if __name__ == '__main__':
for i in range(10):
print('here %s' % i)
time.sleep(1)
print('TEST SUCEEDED')
<|reserved_special_token_1|>
import time
if __name__ == '__main__':
for i in range(10):
... | flexible | {
"blob_id": "a159f9f9cc06bb9d22f84781fb2fc664ea204b64",
"index": 6856,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n for i in range(10):\n print('here %s' % i)\n time.sleep(1)\n print('TEST SUCEEDED')\n",
"step-3": "import time\nif __name__ == '__main__... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print()
<|reserved_special_token_0|>
driver.get('https://strawpoll.com/jhzd6qwjw')
for i in range(0, n + 1):
driver.delete_all_cookies()
try:
button = WebDriverWait(driver, 10).until(EC.
presence_of_ele... | flexible | {
"blob_id": "0e2b4e8e8c5a728e5123dfa704007b0f6adaf1e1",
"index": 4561,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint()\n<mask token>\ndriver.get('https://strawpoll.com/jhzd6qwjw')\nfor i in range(0, n + 1):\n driver.delete_all_cookies()\n try:\n button = WebDriverWait(driver, 10).unti... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Session:
<|reserved_special_token_0|>
class StateEnum:
"""
A class for defining session state.
"""
ACTIVE = 'Active'
INACTIVE = 'Inactive'
CLOSED = 'Closed'
KILLED = 'Killed'
EXPIRED = 'Expired'
DISABL... | flexible | {
"blob_id": "80469fd945a21c1bd2b5590047016a4b60880c88",
"index": 7006,
"step-1": "<mask token>\n\n\nclass Session:\n <mask token>\n\n\n class StateEnum:\n \"\"\"\n A class for defining session state.\n \"\"\"\n ACTIVE = 'Active'\n INACTIVE = 'Inactive'\n CLOSED = '... | [
18,
21,
25,
28,
31
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
st.set_option('deprecation.showfileUploaderEncoding', False)
np.set_printoptions(suppress=True)
<|reserved_special_token_0|>
st.title('Leaf Disease Detection Using Machine Learning')
<|reserved_special_token_0|>
if uploaded_file i... | flexible | {
"blob_id": "746e0895f0fb971156e778cbff20317cc88441f1",
"index": 2059,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nst.set_option('deprecation.showfileUploaderEncoding', False)\nnp.set_printoptions(suppress=True)\n<mask token>\nst.title('Leaf Disease Detection Using Machine Learning')\n<mask token>\nif... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def welcome(request):
return render(request, 'welcome.html')
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def welcome(request):
return render(request, 'welcome.html')
de... | flexible | {
"blob_id": "d5f66d92371838c703abbf80e2b78717cdd4a4fb",
"index": 7140,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef welcome(request):\n return render(request, 'welcome.html')\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef welcome(request):\n return render(request, 'welcome.html'... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def greedy_motif_search(dnas, k, t):
best_motifs = [dna[:k] for dna in dnas]
best_score = score_motifs(best_motifs)
for i in range(len(dnas[0]) - k + 1):
print(i)
motifs = [dnas[0][i:i + k]]
for j in range(1, t):
motifs.append(profile_most_p... | flexible | {
"blob_id": "ed7fa6e6f30eb06400cb38128617967a597f6c04",
"index": 2450,
"step-1": "<mask token>\n\n\ndef greedy_motif_search(dnas, k, t):\n best_motifs = [dna[:k] for dna in dnas]\n best_score = score_motifs(best_motifs)\n for i in range(len(dnas[0]) - k + 1):\n print(i)\n motifs = [dnas[0]... | [
3,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
class Parser(argparse.ArgumentParser):
def error(self, message):
sys.stderr.write(message + '\n\n')
self.print_help()
sys.exit(2)
<|reserved_special_token_0|>
class ParserCreator(object):
def __init__(self):
self.create_main()
self.cre... | flexible | {
"blob_id": "539523f177e2c3c0e1fb0226d1fcd65463b68a0e",
"index": 6576,
"step-1": "<mask token>\n\n\nclass Parser(argparse.ArgumentParser):\n\n def error(self, message):\n sys.stderr.write(message + '\\n\\n')\n self.print_help()\n sys.exit(2)\n\n\n<mask token>\n\n\nclass ParserCreator(obje... | [
17,
18,
29,
30,
32
] |
# -*- coding: utf-8 -*-
"""
-----------------------------------------
IDEA Name : PyCharm
Project Name : HelloWorld
-----------------------------------------
File Name : task_worker
Description :
Author : Edwin
Date : 2018/1/4 23:38
-----------------------------------------
Cha... | normal | {
"blob_id": "be1bfa3e366d715d32613284924cf79abde06d41",
"index": 582,
"step-1": "<mask token>\n\n\nclass QueueManager(BaseManager):\n pass\n\n\ndef start_request():\n QueueManager.register('get_task_queue')\n QueueManager.register('get_result_queue')\n server_add = '127.0.0.1'\n print('Connect to ... | [
2,
3,
4,
5,
6
] |
from typing import (Any, Callable, Dict, List, Optional, Set, Tuple, Type,
Union, overload)
from pccm.stubs import EnumClassValue, EnumValue
from cumm.tensorview import Tensor
class ConvMainUnitTest:
@staticmethod
def implicit_gemm(input: Tensor, weight: Tensor, output: Tensor, padding: L... | normal | {
"blob_id": "a6f3c51d4115a6e0d6f01aa75bf5e6e367840d43",
"index": 914,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass ConvMainUnitTest:\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass ConvMainUnitTest:\n\n @staticmethod\n def implicit_gemm(input: Tensor, weight: Tensor, output: ... | [
0,
1,
2,
3,
4
] |
import os
import click
import csv
import sqlite3
from sqlite3.dbapi2 import Connection
import requests
import mimetypes
from urllib.parse import urljoin, urlparse
from lxml.html.soupparser import fromstring
from lxml import etree
from lxml.etree import tostring
from analysis import lmdict, tone_count_with_negation_chec... | normal | {
"blob_id": "88e4e6647d4720d1c99f3e3438100790903921b5",
"index": 9163,
"step-1": "<mask token>\n\n\n@click.command()\n@click.option('-s', '--batch-size', 'batch_size', default=50)\ndef analyze(batch_size):\n db = db_connect()\n db_ensure_init(db)\n cmd = db.execute('SELECT id, url FROM reports WHERE is_... | [
3,
6,
9,
10,
13
] |
"""Functions for updating and performing bulk inference using an Keras MPNN model"""
from typing import List, Dict, Tuple
import numpy as np
import tensorflow as tf
from molgym.mpnn.data import convert_nx_to_dict
from molgym.mpnn.layers import custom_objects
from molgym.utils.conversions import convert_smiles_to_nx
... | normal | {
"blob_id": "95ab8fce573ef959946d50d9af6e893cb8798917",
"index": 6714,
"step-1": "<mask token>\n\n\nclass MPNNMessage:\n \"\"\"Package for sending an MPNN model over pickle\"\"\"\n\n def __init__(self, model: tf.keras.Model):\n \"\"\"\n Args:\n model: Model to be sent\n \"\"... | [
9,
11,
12,
13,
14
] |
#####################
# Aufgabe 2, 13.7 #
# v1.0 #
# baehll #
# 04.05.2018 #
#####################
class Pinnwand:
def __init__(self):
self.__zettel = []
def hefteAn(self, notiz):
#Analyse des Textes
prio = notiz.count("!")
self.__zettel.ap... | normal | {
"blob_id": "382a3b8bcd07c7098cecf2b770e46dfff50eeb98",
"index": 2695,
"step-1": "class Pinnwand:\n\n def __init__(self):\n self.__zettel = []\n\n def hefteAn(self, notiz):\n prio = notiz.count('!')\n self.__zettel.append((prio, notiz))\n <mask token>\n\n def __str__(self):\n ... | [
4,
5,
6,
7,
8
] |
"""
"""
import cPickle as pickle
def convert_cpu_stats_to_num_array(cpuStats):
"""
Given a list of statistics (tuples[timestamp, total_cpu, kernel_cpu, vm, rss])
Return five numarrays
"""
print "Converting cpus stats into numpy array"
c0 = []
c1 = []
c2 = []
c3 = []
c4 = []
... | normal | {
"blob_id": "85f5f9370896eac17dc72bbbf8d2dd1d7adc3a5b",
"index": 7872,
"step-1": "\"\"\"\n\n\"\"\"\nimport cPickle as pickle\n\n\ndef convert_cpu_stats_to_num_array(cpuStats):\n \"\"\"\n Given a list of statistics (tuples[timestamp, total_cpu, kernel_cpu, vm, rss])\n Return five numarrays\n \"\"\"\n ... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def pantip(k, n, arr, path, len):
if len == 0:
if sum(path) == k:
path.reverse()
print(path)
return
path.append(arr[len - 1])
pantip(k, n, arr, path, len - 1)
path.pop()
pantip(k, n, arr, path, len -... | flexible | {
"blob_id": "6cdaf89d97be8f5ef37ab35f2916a36b4c75ddbe",
"index": 7513,
"step-1": "<mask token>\n",
"step-2": "def pantip(k, n, arr, path, len):\n if len == 0:\n if sum(path) == k:\n path.reverse()\n print(path)\n return\n path.append(arr[len - 1])\n pantip(k, n, arr... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class CommentForm(ModelForm):
class Meta:
model = Comment
<|reserved_special_token_1|>
from django.forms import ModelForm
from django import forms
from models import *
from django.forms.widgets import *
class ... | flexible | {
"blob_id": "81535b43437f9bcb18973ceaa5c3340ad9bd4f0f",
"index": 4170,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass CommentForm(ModelForm):\n\n\n class Meta:\n model = Comment\n",
"step-3": "from django.forms import ModelForm\nfrom django import forms\nfrom models import *\nfrom d... | [
0,
1,
2,
3
] |
""" Implements BCFW for DIFFRAC objectives. """
import numpy as np
import os
from tqdm import tqdm
from numpy.linalg import norm as matrix_norm
import time
def get_feat_block(feats, block_idx, memory_mode, bias_value=-1.0):
"""Get feature for a given block."""
if memory_mode == 'RAM':
feat = feats[bl... | normal | {
"blob_id": "af02cd0778e19df7b11145c4863776a1afd1cca6",
"index": 1484,
"step-1": "\"\"\" Implements BCFW for DIFFRAC objectives. \"\"\"\n\nimport numpy as np\nimport os\nfrom tqdm import tqdm\nfrom numpy.linalg import norm as matrix_norm\nimport time\n\n\ndef get_feat_block(feats, block_idx, memory_mode, bias_va... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def merge_sort(items, temp, low, high):
if high <= low:
return None
mid = low + (high - low) // 2
merge_sort(items, temp, low, mid)
merge_sort(items, temp, mid + 1, high)
merge(items, temp, low, mid, ... | flexible | {
"blob_id": "9ab119b32ceac370b744658e5fa679292609373a",
"index": 2517,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef merge_sort(items, temp, low, high):\n if high <= low:\n return None\n mid = low + (high - low) // 2\n merge_sort(items, temp, low, mid)\n merge_sort(items, temp... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2011 NovaPoint Group LLC (<http://www.novapointgroup.com>)
# Copyright (C) 2004-2010 OpenERP SA (<http://www.openerp.com>)
#
# This program is f... | normal | {
"blob_id": "d9538c030c0225c4255100da70d6bf23f550a64f",
"index": 734,
"step-1": "<mask token>\n\n\nclass SaleOrderLine(osv.osv):\n <mask token>\n _inherit = 'sale.order.line'\n _columns = {'promotion_line': fields.boolean('Promotion Line', help=\n 'Indicates if the line was created by promotions'... | [
2,
4,
6,
9,
10
] |
"""
Copyright (C) 2014, Jill Huchital
"""
# test comment
from flask import Flask
from flask import render_template
from flask import jsonify
from flask import request
from playlists import get_all_playlists, create_playlists, get_all_categories, add_new_category, add_new_topic, get_all_topics
from db import connect_... | normal | {
"blob_id": "5193de15052f81460a23d993cfa039fa90c9de5e",
"index": 897,
"step-1": "<mask token>\n\n\n@app.route('/hello/')\ndef hello():\n return render_template('index.html', greeting='here we are')\n\n\n<mask token>\n\n\n@app.route('/api/1.0/create_playlists', methods=['POST'])\ndef do_create_playlists():\n ... | [
6,
9,
11,
13,
14
] |
from PIL import Image
from pdf2image import convert_from_path
import glob
from pathlib import Path
import shutil, os
from docx import Document
import fnmatch
import re
import shutil
def find_files_ignore_case(which, where='.'):
'''Returns list of filenames from `where` path matched by 'which'
shell patter... | normal | {
"blob_id": "a9876c61578a53f29865062c0915db622aaaba72",
"index": 6916,
"step-1": "<mask token>\n\n\ndef crop_image_center(file, crop_left, crop_right, crop_top, crop_bottom):\n img = Image.open(file)\n x, y = img.size\n box = (crop_left, crop_top, x - crop_left - crop_right, y - crop_top -\n crop... | [
4,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main():
global window
global _form
print('You are using Python {}.{}.{}'.format(sys.version_info.major,
sys.version_info.minor, sys.version_info.micro))
window = tk.Tk()
GUIForm.BuildInterface(win... | flexible | {
"blob_id": "ca5057a5fdfef0edf4cf0c3ff3e2a371907ca4ee",
"index": 1270,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n global window\n global _form\n print('You are using Python {}.{}.{}'.format(sys.version_info.major,\n sys.version_info.minor, sys.version_info.micro))\n ... | [
0,
1,
2,
3,
4
] |
import numpy as np
import math
import random
from numpy.linalg import inv
from scipy.optimize import minimize
from Util import to_vector
class TS_RLR:
def __init__(self, alpha):
self.d = 6
self.k = 6
self.alpha = alpha
self.batch_size = 1000
self.training_size = 1000
self.impressions = 0
self.batch_... | normal | {
"blob_id": "49df9db508637ce5914aa6591178a03c609b6bc7",
"index": 659,
"step-1": "<mask token>\n\n\nclass TS_RLR:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass TS_RLR:\n\n def __init__(self,... | [
1,
6,
7,
8,
10
] |
<|reserved_special_token_0|>
def generate_hashes(seed):
a = []
current_hash = seed
for i in range(1000):
current_hash = md5.new(current_hash).hexdigest()
a.append(current_hash)
return a
def find_prev_hash(array, current_hash):
return array[array.index(current_hash) - 1]
<|reser... | flexible | {
"blob_id": "5e78992df94cbbe441495b7d8fb80104ec000748",
"index": 6728,
"step-1": "<mask token>\n\n\ndef generate_hashes(seed):\n a = []\n current_hash = seed\n for i in range(1000):\n current_hash = md5.new(current_hash).hexdigest()\n a.append(current_hash)\n return a\n\n\ndef find_prev... | [
5,
7,
9,
10,
11
] |
<|reserved_special_token_0|>
@app.route('/')
def index():
return render_template('index.html')
@app.route('/submit', methods=['POST'])
def submit():
if request.method == 'POST':
name = request.form['name']
email = request.form['email']
subject = request.form['subject']
messag... | flexible | {
"blob_id": "27d9e6a868cfc18780ec9615e8dbc3b5ea2fd0c3",
"index": 1399,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef index():\n return render_template('index.html')\n\n\n@app.route('/submit', methods=['POST'])\ndef submit():\n if request.method == 'POST':\n name = request.form['name']\n e... | [
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def llanguage(msg):
chat = msg.chat
base.create_user(msg.chat.id, msg.text)
markup = telebot.types.ReplyKeyboardMarkup(True, True)
markup.row('ok')
str = bot.send_message(msg.chat.id, base.get_text(msg.chat.id,
'confirm'), reply_markup=markup)
bot.register_... | flexible | {
"blob_id": "7cc77de31adff5b4a394f117fc743cd6dd4bc06c",
"index": 6065,
"step-1": "<mask token>\n\n\ndef llanguage(msg):\n chat = msg.chat\n base.create_user(msg.chat.id, msg.text)\n markup = telebot.types.ReplyKeyboardMarkup(True, True)\n markup.row('ok')\n str = bot.send_message(msg.chat.id, base... | [
19,
20,
30,
36,
37
] |
import urllib.request
class GetData:
key = 'fDs8VW%2BvtwQA8Q9LhBW%2BT2ETVBWWJaITjKfpzDsNJO8ugDsvdboInI16ZD295Txxtxwhc4G3PwMAvxd%2FWvz2gQ%3D%3D&pageNo=1&numOfRows=999'
url = "http://apis.data.go.kr/B552657/ErmctInfoInqireService/getEgytBassInfoInqire?serviceKey=" + key
def main(self):
data = urllib... | normal | {
"blob_id": "58ca520a2f43cef26a95de446f9c7a82819b0b66",
"index": 833,
"step-1": "<mask token>\n\n\nclass GetData:\n key = (\n 'fDs8VW%2BvtwQA8Q9LhBW%2BT2ETVBWWJaITjKfpzDsNJO8ugDsvdboInI16ZD295Txxtxwhc4G3PwMAvxd%2FWvz2gQ%3D%3D&pageNo=1&numOfRows=999'\n )\n url = (\n 'http://apis.data.go... | [
3,
4,
5,
6,
7
] |
from typing import List
class Solution:
def grayCode(self, n: int) ->List[int]:
res = [0] * 2 ** n
exp = 0
l = r = 1
for i in range(1, 2 ** n):
res[i] += res[r - i] + 2 ** exp
if i == r:
exp += 1
l = r + 1
r =... | normal | {
"blob_id": "dc600763b12edda05820721098e7e5bc80f74c89",
"index": 4798,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Solution:\n\n def grayCode(self, n: int) ->List[int]:\n res = [0] * 2 ** n\n exp = 0\n ... | [
0,
1,
2,
3
] |
import serial, time
import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BCM)
GPIO.setup(4, GPIO.OUT)
GPIO.setup(17, GPIO.OUT)
GPIO.setup(27, GPIO.OUT)
GPIO.setup(22, GPIO.OUT)
GPIO.setup(23, GPIO.OUT)
GPIO.setup(24, GPIO.OUT)
GPIO.setup(7, GPIO.OUT)
pwm1 = GPIO.PWM(23,100)
pwm2 = GPIO.PWM(24,100)
pwm1.start(100)
pwm2.start(100... | normal | {
"blob_id": "647aa37c53aac7c620e5095c7a9368f4ad038608",
"index": 8209,
"step-1": "import serial, time\nimport RPi.GPIO as GPIO\nGPIO.setmode(GPIO.BCM)\n\nGPIO.setup(4, GPIO.OUT)\nGPIO.setup(17, GPIO.OUT)\nGPIO.setup(27, GPIO.OUT)\nGPIO.setup(22, GPIO.OUT)\nGPIO.setup(23, GPIO.OUT)\nGPIO.setup(24, GPIO.OUT)\nGPIO... | [
0
] |
# coding: utf-8
# 02. 「パトカー」＋「タクシー」＝「パタトクカシーー」
# 「パトカー」＋「タクシー」の文字を先頭から交互に連結して文字列「パタトクカシーー」を得よ．
s1 = "パトカー"
s2 = "タクシー"
ans = ""
for c1, c2 in zip(s1, s2):
ans += c1 + c2
print(ans)
#パタトクカシーー
| normal | {
"blob_id": "4d7e30714ae209e1d09d895dadf7a19928fe253f",
"index": 6623,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor c1, c2 in zip(s1, s2):\n ans += c1 + c2\nprint(ans)\n",
"step-3": "s1 = 'パトカー'\ns2 = 'タクシー'\nans = ''\nfor c1, c2 in zip(s1, s2):\n ans += c1 + c2\nprint(ans)\n",
"step-4": ... | [
0,
1,
2,
3
] |
"""
pyautogui 屏幕像素获取、屏幕像素匹配
@author : zhouhuajian
@version : v1.0
"""
from pyautogui import pixel, pixelMatchesColor, screenshot
"""
主要内容：
1. pixel() - 获取屏幕像素；
2. pixelMatchesColor() - 屏幕像素匹配颜色。
"""
def test_pixel_pixelMatchesColor():
"""屏幕像素获取、屏幕像素匹配"""
# img = screenshot()
# print(img)
# print(i... | normal | {
"blob_id": "c15faf9df8fa2e1ad89ea2c922ab0551eaa69d3f",
"index": 1936,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_pixel_pixelMatchesColor():\n \"\"\"屏幕像素获取、屏幕像素匹配\"\"\"\n print(pixelMatchesColor(44, 107, (148, 212, 234), tolerance=20))\n print(pixelMatchesColor(44, 107, (100, 21... | [
0,
1,
2,
3,
4
] |
for _ in range(int(input())):
n = int(input())
s = input()
cur = 0
for i in s[::-1]:
if i==')':
cur+=1
else:
break
print("Yes") if cur>n//2 else print("No")
| normal | {
"blob_id": "31b420adebbe0d3ee6da2ed8236ece1526bdb063",
"index": 6290,
"step-1": "<mask token>\n",
"step-2": "for _ in range(int(input())):\n n = int(input())\n s = input()\n cur = 0\n for i in s[::-1]:\n if i == ')':\n cur += 1\n else:\n break\n print('Yes') ... | [
0,
1,
2
] |
#This models.py is under UserRegApp1 folder
from django.db import models
# Create your models here.
class UserRegModel(models.Model):
username = models.CharField(max_length=15)
emailid = models.EmailField()
password1= models.CharField(max_length=6)
password2= models.CharField(max_length=6)
mailse... | normal | {
"blob_id": "d0653dac8e7c8162070ed9fd191f7fb318f47c60",
"index": 1719,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass UserRegModel(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass UserRegModel(model... | [
0,
1,
2,
3,
4
] |
import numpy as np
import heapq
class KdNode:
"""
node of kdtree.
"""
def __init__(self, depth, splitting_feature, splitting_value, idx, parent):
"""
:param depth: depth of the node.
:param splitting_feature: split samples by which feature.
:param splitting_value: split... | normal | {
"blob_id": "2f16c74e51789dd06bfc1fe1c6173fa5b0ac38cd",
"index": 4747,
"step-1": "<mask token>\n\n\nclass KdTree:\n <mask token>\n\n def __init__(self):\n self.root = None\n\n def create(self, X, dimensions=None):\n \"\"\"\n create a kd-tree on data X.\n :param X: shape is (n... | [
6,
7,
10,
12,
13
] |
# -*- coding: utf-8 -*-
# @Time : 2019/9/17 17:48
# @Author : ZhangYang
# @Email : ian.zhang.88@outlook.com
from functools import wraps
def create_new_sequence_node(zk_client, base_path, prefix, is_ephemeral=False):
if not zk_client.exists(base_path):
zk_client.ensure_path(base_path)
new_node =... | normal | {
"blob_id": "f9a0c3b643c2ee6bb6778477bf8fc21564812081",
"index": 3373,
"step-1": "<mask token>\n\n\nclass SetGetMixin:\n\n def get(path_variable):\n\n def decorator(func):\n\n @wraps(func)\n def wrapper(self, *args, **kwargs):\n if not self.zk_client.exists(getattr(... | [
2,
3,
4,
5,
6
] |
# coding=utf-8
from smallinvoice.commons import BaseJsonEncodableObject, BaseService
class Catalog(BaseJsonEncodableObject):
def __init__(self, catalog_type, unit, name, cost_per_unit, vat=0):
self.type = catalog_type
self.unit = unit
self.name = name
self.cost_per_unit = cost_per_... | normal | {
"blob_id": "37feeba8ff682e5998fde4bcba8c37043cb593f2",
"index": 5195,
"step-1": "<mask token>\n\n\nclass CatalogService(BaseService):\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass CatalogService(BaseService):\n name = 'catalog'\n",
"step-3": "<mask token>\n\n\nclass Catalog(BaseJsonEncodableOb... | [
1,
2,
3,
5,
6
] |
# common methods to delete data from list
fruits = ['orange', ' apple', 'pear', 'banana', 'kiwi']
#pop method
# fruits.pop(1)
# del
# del fruits[1]
# remove
# fruits.remove('banana')
# append, extend, insert
# pop, remove, del
print(fruits)
| normal | {
"blob_id": "a245cb1f232b152edf40b6399686c6811c522d99",
"index": 6458,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(fruits)\n",
"step-3": "fruits = ['orange', ' apple', 'pear', 'banana', 'kiwi']\nprint(fruits)\n",
"step-4": "# common methods to delete data from list\r\nfruits = ['orange', ' a... | [
0,
1,
2,
3
] |
from django.shortcuts import render
# Create your views here.
def test_petite_vue(request):
return render(request, 'petite_vue_app/test-form.html')
| normal | {
"blob_id": "709f2425bc6e0b0b650fd6c657df6d85cfbd05fe",
"index": 84,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_petite_vue(request):\n return render(request, 'petite_vue_app/test-form.html')\n",
"step-3": "from django.shortcuts import render\n\n\ndef test_petite_vue(request):\n r... | [
0,
1,
2,
3
] |
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