code stringlengths 13 1.2M | order_type stringclasses 1
value | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
from datetime import datetime
import httplib2
from apiclient.discovery import build
from flask_login import UserMixin
from flask_migrate import Migrate
from flask_sqlalchemy import SQLAlchemy
from oauth2client.client import OAuth2Credentials
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.types import... | normal | {
"blob_id": "866ec11f6fe13fb2283709128376080afc7493bf",
"index": 5040,
"step-1": "<mask token>\n\n\nclass User(db.Model, UserMixin):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __repr__(self):\n return '<User {}>'.format(self.email... | [
8,
10,
11,
13,
14
] |
import requests
def login(username, password):
data = {'login':username,'pwd':password,'lang':''}
r = requests.post('http://dms-pit.htb/seeddms51x/seeddms/op/op.Login.php', data=data, allow_redirects=False)
if r.headers['Location'] == '../out/out.Login.php?msg=Error+signing+in.+User+ID+or+password+incorrec... | normal | {
"blob_id": "ae84b449c8919f14954633b14993e6291501bc24",
"index": 1019,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef login(username, password):\n data = {'login': username, 'pwd': password, 'lang': ''}\n r = requests.post('http://dms-pit.htb/seeddms51x/seeddms/op/op.Login.php',\n da... | [
0,
1,
2,
3,
4
] |
"""Encoder module of Monodepth2
Code partially borrowed from
https://github.com/nianticlabs/monodepth2/blob/master/networks/resnet_encoder.py
"""
from __future__ import absolute_import, division, print_function
import os
import numpy as np
import mxnet as mx
from mxnet.gluon import nn
from mxnet.context import cpu
fr... | normal | {
"blob_id": "62601eca767800f00b461ef46d72bddc5cf75de0",
"index": 1400,
"step-1": "<mask token>\n\n\nclass ResnetEncoder(nn.HybridBlock):\n <mask token>\n\n def __init__(self, backbone, pretrained, num_input_images=1, root=os.\n path.join(os.path.expanduser('~'), '.mxnet/models'), ctx=cpu(), **\n ... | [
3,
4,
5,
6,
7
] |
import re
print("Кулик Валерія Максимівна\n "
"Лабораторна робота №2 \n "
"Варіант 10 \n "
"Завдання №1. Обчислити формулу")
def int_input(text):
while True:
user_input = input(text)
if re.match('^[0-9]{1,}$', user_input):
break
else:
print("По... | normal | {
"blob_id": "e8e52cd0a0685e827ecbc6272657de5158fa0d94",
"index": 7037,
"step-1": "import re\n\nprint(\"Кулик Валерія Максимівна\\n \"\n \"Лабораторна робота №2 \\n \"\n \"Варіант 10 \\n \"\n \"Завдання №1. Обчислити формулу\")\n\n\ndef int_input(text):\n while True:\n user_input = inp... | [
0
] |
# 데이터베이스 연동(SQLite)
# 테이블 생성 및 삽입
# pkg 폴더안에 db 파일이 있어서 해당 파일 import 하기 위해 ... 다른 방법 없을까 ...
import os, sys
sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__))))
# db 정보 import 후 DbConn 메소드를 dbConn으로 사용명 변경
from pkg._DB_INFO import DbConn as dbConn
from pkg._DB_INFO import sysDate as nowDate
#... | normal | {
"blob_id": "b066ab81eccee538eb3f85b49a3e46c00a947428",
"index": 6154,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__))))\n<mask token>\nprint('Cursor Type : ', type(c))\nc.execute(\n 'CREATE TABLE IF NOT EXISTS users(id INTEGER ... | [
0,
1,
2,
3,
4
] |
# 导包
from time import sleep
from selenium import webdriver
# 实例化浏览器
driver = webdriver.Firefox()
# 打开页面
driver.get(r"F:\BaiduYunDownload\webdriverspace\sources\注册实例.html")
driver.maximize_window()
sleep(2)
# 定位注册A按钮并点击
driver.find_element_by_link_text("注册A网页").click()
# 获取当前敞口句柄
current_handle = driver.current_windo... | normal | {
"blob_id": "f73a316b6020908472e35a7b78959a9bda6e8e56",
"index": 7810,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndriver.get('F:\\\\BaiduYunDownload\\\\webdriverspace\\\\sources\\\\注册实例.html')\ndriver.maximize_window()\nsleep(2)\ndriver.find_element_by_link_text('注册A网页').click()\n<mask token>\nprint(... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python3
# coding=utf-8
# date 2020-10-22 10:54:38
# author calllivecn <c-all@qq.com>
import sys
import random
import asyncio
import argparse
def httpResponse(msg):
response = [
"HTTP/1.1 200 ok",
"Server: py",
"Content-Type: text/plain",
"Content-Le... | normal | {
"blob_id": "9320926c9eb8a03d36446f3692f11b242c4fc745",
"index": 8364,
"step-1": "<mask token>\n\n\ndef httpResponse(msg):\n response = ['HTTP/1.1 200 ok', 'Server: py', 'Content-Type: text/plain',\n 'Content-Length: ' + str(len(msg)), '\\r\\n']\n return '\\r\\n'.join(response).encode('utf8') + msg\... | [
2,
3,
4,
5,
6
] |
import datetime
from datetime import datetime, timedelta
import time
import json
import base64
import requests
from bson.objectid import ObjectId
import urllib
isinpackage = not __name__ in ['google_api', '__main__']
if isinpackage:
from .settings import settings
from . import util
from .util import Just
... | normal | {
"blob_id": "c75c69b006734e476352de1913fd4a58021bffd6",
"index": 2704,
"step-1": "<mask token>\n\n\ndef get_certs_keys(kid):\n url = 'https://www.googleapis.com/oauth2/v3/certs'\n data = requests.get(url).json()['keys']\n return next(filter(lambda e: kid == e['kid']), None)\n\n\ndef get_redirect_link(re... | [
11,
12,
14,
15,
16
] |
#!/usr/bin/env python
import speech_recognition as sr
from termcolor import colored as color
import apiai
import json
from os import system
import wikipedia as wiki
from time import sleep
import webbrowser as wb
BOLD = "\033[1m" #use to bold the text
END = "\033[0m" #use to close the bold text
CLIENT_ACCESS_TOK... | normal | {
"blob_id": "d3e728bda85d2e72b8e477ab439d4dcffa23d63a",
"index": 5448,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n r = sr.Recognizer()\n with sr.Microphone() as source:\n system('clear')\n print(color(BOLD + 'Hola!\\nAsk me anything.' + END, 'green'))\n while True:\n ... | [
0,
1,
2,
3,
4
] |
from app import app
from flask import render_template, request
from app.models import model, formopener
@app.route('/', methods=['GET', 'POST'])
@app.route('/index')
def index():
return render_template("index.html")
@app.route('/personality', methods=['GET', 'POST'])
def personfont():
user_input=dict(request.... | normal | {
"blob_id": "bb3c4039ff224c0ca0305778b938ef969c196033",
"index": 8759,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@app.route('/', methods=['GET', 'POST'])\n@app.route('/index')\ndef index():\n return render_template('index.html')\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\n@app.route(... | [
0,
1,
2,
3,
4
] |
#app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///test.db'
#app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = True;
#db = SQLAlchemy(app)
# MONGODB CREATION
#Creating a pymongo client
client = MongoClient('localhost', 27017)
#Getting the database instance
db = client['mydb']
print("Database created........")
#Verif... | normal | {
"blob_id": "5b7567129d447ae2b75f4a8f9c26127f8b7553ec",
"index": 7818,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('Database created........')\nprint('List of databases after creating new one')\nprint(client.list_database_names())\n<mask token>\nmeta.create_all(engine)\n",
"step-3": "client = ... | [
0,
1,
2,
3
] |
from django.conf.urls import url
from cart import views
urlpatterns=[
url(r'^add/$',views.cart_add,name='add'),#t添加购物车数据
url(r'^count/$',views.cart_count,name='count'),#huo获取购物车商品数量
url(r'^del/$',views.cart_del,name='delete'),#删除购物车商品记录
url(r'update/$',views.cart_update,name='update'),#更新购物车商品数目
u... | normal | {
"blob_id": "5b3a6b44bd9ea80da1983d8254c73bba3e2338e1",
"index": 5166,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [url('^add/$', views.cart_add, name='add'), url('^count/$',\n views.cart_count, name='count'), url('^del/$', views.cart_del, name=\n 'delete'), url('update/$', views.c... | [
0,
1,
2,
3
] |
# Standard Library Imports
# Third Party Imports
from kivy.clock import Clock
from kivy.properties import StringProperty
from kivy.uix.screenmanager import Screen, ScreenManager
from kivy.uix.widget import Widget
# Local Imports
from client.source.ui.kv_widgets import ModalPopupButton, SubmissionPopup, FailedSubmissi... | normal | {
"blob_id": "327e9dcba49419b8a8c320940e333765c1d9b980",
"index": 5997,
"step-1": "<mask token>\n\n\nclass ChatRoomScreen(Screen):\n <mask token>\n <mask token>\n <mask token>\n\n def schedule_update_display_info(self, *args):\n Clock.schedule_interval(self.update_display_info, 1)\n <mask to... | [
7,
12,
17,
20,
22
] |
#coding=utf-8
import shutil
import zipfile
# shutil.copyfile("file03.txt","file05.txt") #拷贝
# shutil.copytree("movie/大陆","电影") #拷贝文件夹
#忽略不需要拷贝的文件
# shutil.copytree("movie/大陆","电影",ignore=shutil.ignore_patterns("*.txt","*.html"))
#压缩和解压缩
# shutil.make_archive("电影/压缩","zip","movie/大陆")
z1 = zipfile.ZipFile("a.z... | normal | {
"blob_id": "81f5753e8d0004244b4ee8e26895cb2b38fbb8b6",
"index": 751,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nz1.write('file05.txt')\nz1.write('file03.txt')\nz1.close()\n<mask token>\nz2.extractall('电影')\nz2.close()\n",
"step-3": "<mask token>\nz1 = zipfile.ZipFile('a.zip', 'w')\nz1.write('file0... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/python3
"""
program of the command interpreter
"""
import cmd
import models
import re
from models.base_model import BaseModel
from models import storage
from models.user import User
from models.state import State
from models.city import City
from models.amenity import Amenity
from models.place import Place
... | normal | {
"blob_id": "7cbf2082d530c315fdcfdb94f5c6ac4755ea2081",
"index": 1267,
"step-1": "<mask token>\n\n\nclass HBNBCommand(cmd.Cmd):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def emptyline(self):\n \"\"\"Do nothing\"\"\"\n pass\n\n def do_create(... | [
9,
11,
12,
16,
17
] |
"""Tests for our `neo login` subcommand."""
import pytest
import os
from neo.libs import login
from neo.libs import utils
class TestAuth:
@pytest.mark.run(order=0)
def test_do_login(self, monkeypatch):
login.load_env_file()
username = os.environ.get('OS_USERNAME')
passwd = os.environ.g... | normal | {
"blob_id": "dfe7f0e25f340601886334c61a50806491a4ae2b",
"index": 8621,
"step-1": "<mask token>\n\n\nclass TestAuth:\n <mask token>\n <mask token>\n\n def test_env_file(self):\n assert login.check_env() == True\n\n def test_create_env_file(self):\n home = os.path.expanduser('~')\n ... | [
3,
4,
5,
6,
7
] |
#!/usr/bin/env python
import os, glob, sys, math, time, argparse
import ROOT
from ROOT import TFile, TTree, TH2D
def main():
parser = argparse.ArgumentParser(description='Program that takes as an argument a pattern of LEAF rootfiles (* wildcards work) enclosed by quotation marks ("<pattern>") and creates a root... | normal | {
"blob_id": "44c04cf79d02823318b06f02af13973960413bea",
"index": 6915,
"step-1": "#!/usr/bin/env python\n\nimport os, glob, sys, math, time, argparse\nimport ROOT\nfrom ROOT import TFile, TTree, TH2D\n\n\n\ndef main():\n parser = argparse.ArgumentParser(description='Program that takes as an argument a pattern... | [
0
] |
import BST
tree = BST.BST(10)
tree.insert(5, tree.root)
tree.insert(15, tree.root)
tree.insert(25, tree.root)
tree.insert(12, tree.root)
tree.insert(35, tree.root)
print(tree.height(tree.root))
| normal | {
"blob_id": "59ddb85d55c342342be4edc1fc3b92af701fa6cc",
"index": 4342,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntree.insert(5, tree.root)\ntree.insert(15, tree.root)\ntree.insert(25, tree.root)\ntree.insert(12, tree.root)\ntree.insert(35, tree.root)\nprint(tree.height(tree.root))\n",
"step-3": "<... | [
0,
1,
2,
3
] |
import sys
import numpy as np
sys.setrecursionlimit(10 ** 7)
read = sys.stdin.buffer.read
readline = sys.stdin.buffer.readline
readlines = sys.stdin.buffer.readlines
N, M = map(int, input().split())
def cumprod(arr, MOD):
L = len(arr)
Lsq = int(L ** 0.5 + 1)
arr = np.resize(arr, Lsq ** 2).reshape(Lsq, ... | normal | {
"blob_id": "43d5bf79f16e8530797cdd13cdfcc91f0d3aef5e",
"index": 8208,
"step-1": "<mask token>\n\n\ndef cumprod(arr, MOD):\n L = len(arr)\n Lsq = int(L ** 0.5 + 1)\n arr = np.resize(arr, Lsq ** 2).reshape(Lsq, Lsq)\n for n in range(1, Lsq):\n arr[:, n] *= arr[:, n - 1]\n arr[:, n] %= MO... | [
3,
4,
5,
6,
7
] |
# -*- coding: utf-8 -*-
import abc
import datetime
import importlib
import inspect
import os
import re
import six
from .library import HalLibrary
@six.add_metaclass(abc.ABCMeta)
class Hal():
def __init__(self, configpath):
self.configpath = configpath
# Find libraries inside the lib directory
... | normal | {
"blob_id": "81dec10686b521dc9400a209caabc1601efd2a88",
"index": 540,
"step-1": "<mask token>\n\n\n@six.add_metaclass(abc.ABCMeta)\nclass Hal:\n\n def __init__(self, configpath):\n self.configpath = configpath\n dir_path = os.path.join(os.path.dirname(__file__), 'libraries')\n lib_files =... | [
3,
5,
6,
8,
9
] |
def
a = 10
b = 2
c = 3
cal(a,b,c) | normal | {
"blob_id": "1be5de71615eae6c9074e67b0dcaabbac4d82e2b",
"index": 9909,
"step-1": "def\n\na = 10\nb = 2\nc = 3\n\ncal(a,b,c)",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
} | [
0
] |
from itertools import groupby
def solve(tribes):
attacks = []
for t in tribes:
D, N, W, E, S, DD, DP, DS = t
for i in range(N):
d = D + DD * i
w = W + DP * i
e = E + DP * i
s = S + DS * i
attacks.append((d, w, e, s))
attacks = sort... | normal | {
"blob_id": "362bfc5a35b09817ce071e71a72e574a28ea287d",
"index": 3365,
"step-1": "<mask token>\n\n\ndef line(f):\n return map(int, f.readline().split())\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef solve(tribes):\n attacks = []\n for t in tribes:\n D, N, W, E, S, DD, DP, DS = t\n ... | [
1,
3,
4,
5,
6
] |
# -*- coding: utf-8 -*-
# Copyright (c) 2018-2020 Christiaan Frans Rademan <chris@fwiw.co.za>.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the ... | normal | {
"blob_id": "13e27c29839286988b37d2d3685f54d42fd57973",
"index": 9773,
"step-1": "<mask token>\n\n\n@register.resources()\nclass Roles(object):\n <mask token>\n\n def role(self, req, resp, id):\n return obj(req, infinitystone_role, sql_id=id)\n\n def roles(self, req, resp):\n return sql_li... | [
3,
5,
6,
8,
9
] |
# Copyright (c) 2019 NVIDIA Corporation
from nemo.backends.pytorch.nm import DataLayerNM
from nemo.core.neural_types import *
from nemo.core import DeviceType
import torch
from .datasets import BertPretrainingDataset
class BertPretrainingDataLayer(DataLayerNM):
@staticmethod
def create_ports():
input... | normal | {
"blob_id": "a47ffd5df49ec627442a491f81a117b3e68ff50b",
"index": 2326,
"step-1": "<mask token>\n\n\nclass BertPretrainingDataLayer(DataLayerNM):\n <mask token>\n\n def __init__(self, *, tokenizer, dataset, name, max_seq_length,\n sentence_indices_filename=None, mask_probability=0.15, **kwargs):\n ... | [
4,
5,
6,
7,
8
] |
#the initial DNA sequence
dnaSequence = 'ACTGATCGATTACGTATAGTAGAATTCTATCATACATATATATCGATGCGTTCAT'
#seperating the DNA sequence at the specified location
firstFragment = 'ACTGATCGATTACGTATAGTAGAATTCTATCATACATATATATCGATGCGTTCAT' [0:22]
secondFragment = 'ACTGATCGATTACGTATAGTAGAATTCTATCATACATATATATCGATGCGTTCAT' [23:100]
... | normal | {
"blob_id": "7dc99d33023dbb13938ac413af7d3e9471fdbc3d",
"index": 126,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('the original DNA sequence is', dnaSequence)\nprint('the first fragment is', firstFragment, 'and is', firstFragmentLen,\n 'letters long')\nprint('the second fragment is', secondFr... | [
0,
1,
2,
3
] |
import tensorflow as tf
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
sess = tf.Session()
# 1.one-shot iterator
dataset = tf.data.Dataset.range(100)
iterator = dataset.make_one_shot_iterator()
next_element = iterator.get_next()
for i in range(100):
value = sess.run(next_element)
# print(value)
assert i == v... | normal | {
"blob_id": "4d4dd451d83d8d602c6264e77f52e5e143aef307",
"index": 6239,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(100):\n value = sess.run(next_element)\n assert i == value\n<mask token>\nsess.run(iterator.initializer, feed_dict={max_value: 10})\nfor i in range(10):\n value = ... | [
0,
1,
2,
3,
4
] |
from flask import Flask
import rq
from redis import Redis
from app.lib.job import Job
from app.config import Config
app = Flask(__name__)
app.config.from_object(Config)
app.redis = Redis.from_url('redis://')
app.task_queue = rq.Queue('ocr-tasks', connection=app.redis,
default_timeout=43200)
app.task_queue.empty()
a... | normal | {
"blob_id": "14e336005da1f1f3f54ea5f2892c27b58f2babf0",
"index": 4794,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napp.config.from_object(Config)\n<mask token>\napp.task_queue.empty()\n<mask token>\napp.eval_queue.empty()\n<mask token>\napp.register_blueprint(api_bp, url_prefix='/api')\n",
"step-3":... | [
0,
1,
2,
3
] |
# Generated by Django 2.2.7 on 2019-11-22 21:09
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('Product', '0003_productimage'),
]
operations = [
migrations.RemoveField(
model_name='productimage',
name='comm... | normal | {
"blob_id": "a3382c3e6e04ccb87b1d55f072ce959b137f9fdd",
"index": 5722,
"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 = [('Product', '... | [
0,
1,
2,
3,
4
] |
#program_skeleton.py
#import load_json_files as bm
import write
import merge as m
import load_df as ldf
import load_vars as lv
import log as log
import clean_df as clean
import download as dl
import gc
import confirm_drcts as cfs
import fix_files as ff
import readwrite as rw
import df_filter as df_f
import realtor_scr... | normal | {
"blob_id": "6a8007e44d2c4b56426cd49772cbc23df2eca49c",
"index": 6917,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef program_skeleton(dictionary: dict):\n if dictionary['tasks']['environmental_vars']['run'] == True:\n dictionary['tasks']['environmental_vars']['log'][\n 'envi... | [
0,
1,
2,
3
] |
ii = [('CoolWHM2.py', 73), ('MarrFDI3.py', 2), ('IrviWVD.py', 2), (
'CoolWHM3.py', 8), ('LewiMJW.py', 1), ('JacoWHI2.py', 4), ('EvarJSP.py', 1)
]
| normal | {
"blob_id": "379c666f19537b513169c6b30e0c669dda6e372c",
"index": 9165,
"step-1": "<mask token>\n",
"step-2": "ii = [('CoolWHM2.py', 73), ('MarrFDI3.py', 2), ('IrviWVD.py', 2), (\n 'CoolWHM3.py', 8), ('LewiMJW.py', 1), ('JacoWHI2.py', 4), ('EvarJSP.py', 1)\n ]\n",
"step-3": null,
"step-4": null,
"st... | [
0,
1
] |
import pytest
from apistar import App, Route, TestClient, exceptions
from apistar_request_id import RequestId, RequestIdHooks
def index() -> dict:
return {}
def fail() -> dict:
raise exceptions.BadRequest("fail")
def fail_2() -> dict:
raise RuntimeError("fail")
routes = [
Route("/", method="GET... | normal | {
"blob_id": "f41ab6813fb7067089abe223b9006adde40630cd",
"index": 1941,
"step-1": "<mask token>\n\n\ndef index() ->dict:\n return {}\n\n\n<mask token>\n\n\n@pytest.fixture\ndef client(app):\n return TestClient(app)\n\n\ndef test_request_id_can_be_autogenerated(client):\n response = client.get('/')\n a... | [
6,
9,
10,
11,
12
] |
"""
Rectangles: Compute overlapping region of two rectangles.
Point(x: number, y: number): Cartesian coordinate pair
Rect(ll: Point, ur: Point): A rectangle defined by lower left
and upper right coordinates
Rect.overlaps(other: Rect) -> boolean: True if non-empty overlap
Rect.intersect(other: Rect... | normal | {
"blob_id": "7b9660bba6fcb8c725251971f3733a1cc915c0e7",
"index": 760,
"step-1": "<mask token>\n\n\nclass Point(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass Rect(object):\n \"\"\"A rectangle identified by its lower left\n and upper right corne... | [
9,
12,
16,
17,
18
] |
import subprocess
from dissamblerAbstract import disassemblerAbstract
#lib/ZydisDisasm -64 /home/nislab2/Desktop/DissamblerEffect/metamorphic/00fe0c08024f7db771d6711787d890a3.exe
class ZydisDisassembler(disassemblerAbstract):
def diassemble(self,filename, bits='32bit'):
"""
Disassembly executa... | normal | {
"blob_id": "fedec397ac0346bad1790315b4f85fbb1a662a4e",
"index": 9466,
"step-1": "<mask token>\n\n\nclass ZydisDisassembler(disassemblerAbstract):\n\n def diassemble(self, filename, bits='32bit'):\n \"\"\"\n Disassembly executable file return iterable instruction set.\n\n :param f... | [
3,
4,
5,
6,
7
] |
import collections
def solution(genres, plays):
answer = []
cache = collections.defaultdict(list) # 장르 : [고유번호, 재생횟수]
genre_order = collections.defaultdict(int) # 장르 : 전체재생횟수
order = collections.defaultdict() # 전체재생횟수 : 장르
# 첫번째 딕셔너리와 두번째 딕셔너리 생성
for i in range(len(genres)):
cache[ge... | normal | {
"blob_id": "d56c80b4822b1bd0f2d4d816ed29a4da9d19a625",
"index": 3040,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef solution(genres, plays):\n answer = []\n cache = collections.defaultdict(list)\n genre_order = collections.defaultdict(int)\n order = collections.defaultdict()\n fo... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import os
import sys
import paramiko
import commands
def ip_check():
"""
Parses attributes for given hosts,
then checks if hosts are up
and then calls path_check function with working hosts.
"""
hosts = []
valid_hosts = []
for item in sys.argv... | normal | {
"blob_id": "6e3aa677985d7bd91bfbbd2078665206839bac63",
"index": 3578,
"step-1": "<mask token>\n\n\ndef path_check(hosts):\n \"\"\"\n Parses username, port, host and local and remote path,\n finds all local and remote files, using find_local_files and find_remote_files functions,\n and then opens ssh... | [
4,
6,
7,
8,
9
] |
""" binary_adder.py: Takes two arrays representing binary numbers,
adds them together. """
__author__ = "David Vaillant"
__credits__ = "CLRS, Chapter 2.1"
def binary_add(x, y):
""" Adds two binary arrays together. """
# Makes sure that the arrays have the same length.
# Could be chang... | normal | {
"blob_id": "40aa9e7cf0aaca24054297ca80aaf468ba485966",
"index": 5621,
"step-1": "<mask token>\n\n\ndef binary_add(x, y):\n \"\"\" Adds two binary arrays together. \"\"\"\n assert len(x) == len(y)\n z = [0] * (len(x) + 1)\n for a, (i, j) in enumerate(zip(x[::-1], y[::-1])):\n if i not in [0, 1... | [
1,
2,
3,
4,
5
] |
from django.shortcuts import render
import requests
from bs4 import BeautifulSoup
import json
from rest_framework.response import Response
from rest_framework.decorators import api_view,authentication_classes,permission_classes
from rest_framework import status
from django.contrib.staticfiles.storage import staticfiles... | normal | {
"blob_id": "ed80f5f898548ca012779543051ccff5b34e4fcc",
"index": 730,
"step-1": "<mask token>\n\n\ndef getdata(url):\n data = requests.get(url)\n return data.text\n\n\ndef get_json():\n file_path = staticfiles_storage.path('coordinates.json')\n with open(file_path, 'r') as f:\n data = json.loa... | [
2,
3,
4,
5,
6
] |
import copy
import time
import random
from twisted.python import log, failure
from twisted.internet import defer, error, protocol, reactor
from twisted.protocols import basic, policies
from pn.util import url
from pn.core import stream as stream_mod
try:
from collections import deque
except ImportError:
class dequ... | normal | {
"blob_id": "57ab0421d5234caf7a97ce93908cd07e23f53a0b",
"index": 9037,
"step-1": "import copy\nimport time\nimport random\n\nfrom twisted.python import log, failure\nfrom twisted.internet import defer, error, protocol, reactor\nfrom twisted.protocols import basic, policies\n\nfrom pn.util import url\nfrom pn.cor... | [
0
] |
#Small enough? - Beginner
# You will be given an array and a limit value.
# You must check that all values in the array are
# below or equal to the limit value. If they are,
# return true. Else, return false.
def small_enough(array, limit):
counter = ""
for arr in array:
if arr <= limit:
... | normal | {
"blob_id": "117b340b13b9b1c53d3df1646cd5924f0118ab5d",
"index": 5512,
"step-1": "<mask token>\n",
"step-2": "def small_enough(array, limit):\n counter = ''\n for arr in array:\n if arr <= limit:\n counter += 'True,'\n else:\n counter += 'False,'\n if 'False' in cou... | [
0,
1,
2
] |
def modCount(n, m):
if(m <= n):
inBetween = n - m
dividible = []
for x in range(m+1, n):
if(x%m == 0):
dividible.append(x)
return 'There are {} numbers between {} and {} \nand the ones that are dividible by {} are {}'.format(inBetween, m, n, m, dividib... | normal | {
"blob_id": "0699c9f70f1c16b4cb9837edf7a4ef27f021faec",
"index": 8318,
"step-1": "<mask token>\n",
"step-2": "def modCount(n, m):\n if m <= n:\n inBetween = n - m\n dividible = []\n for x in range(m + 1, n):\n if x % m == 0:\n dividible.append(x)\n retur... | [
0,
1,
2,
3
] |
# https://leetcode-cn.com/problems/zigzag-conversion/
# 6. Z 字形变换
class Solution:
def convert(self, s: str, numRows: int) -> str:
res = ''
for i in range(numRows):
pass
return res
| normal | {
"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
] |
from django.db import models
# Create your models here.
class Pastebin(models.Model):
name= models.CharField(max_length=30)
textpaste = models.CharField(max_length=80)
pasteurl = models.AutoField(primary_key=True)
def __str__(self):
return self.name
| normal | {
"blob_id": "3badf65a5301cc9cf26811e3989631aec5d31910",
"index": 2709,
"step-1": "<mask token>\n\n\nclass Pastebin(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Pastebin(models.Model):\n <mask token>\n <mask token>\n <mask... | [
1,
2,
3,
4,
5
] |
import csv
import matplotlib.pyplot as plt
import numpy as np
from scipy.optimize import curve_fit
#funktion
def func(w,rc):
return 1/(np.sqrt(1+w**2*rc**2))
#daten einlesen
with open('data/phase.csv' ) as csvfile:
reader=csv.reader(csvfile, delimiter=',')
header_row=next(reader)
f, U, a,... | normal | {
"blob_id": "170d0560c40f3f642f319f6113b68ab8a6bea9ef",
"index": 468,
"step-1": "<mask token>\n\n\ndef func(w, rc):\n return 1 / np.sqrt(1 + w ** 2 * rc ** 2)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef func(w, rc):\n return 1 / np.sqrt(1 + w ** 2 * rc ** 2)\n\n\nwith open('data/phase.csv') as... | [
1,
2,
3,
4,
5
] |
import pytest
@pytest.mark.usefixtures("driver")
class BaseClass:
"""BaseClass takes in driver fixture."""
| normal | {
"blob_id": "1b49cb59ebdb548cfc7567cd5cb4affe30f33aac",
"index": 5576,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@pytest.mark.usefixtures('driver')\nclass BaseClass:\n <mask token>\n",
"step-3": "<mask token>\n\n\n@pytest.mark.usefixtures('driver')\nclass BaseClass:\n \"\"\"BaseClass tak... | [
0,
1,
2,
3,
4
] |
import pprint
class ErrorResponseCollection(object):
def __init__(self, status, message, param = "message"):
self.status = status
self.message = message
self.param = param
def as_md(self):
return '\n\n> **%s**\n\n```\n{\n\n\t"%s": "%s"\n\n}\n\n```' % \
... | normal | {
"blob_id": "ade4d797a83eaa06e8bde90972a56376d7e0f55a",
"index": 6086,
"step-1": "<mask token>\n\n\nclass ErrorResponseCollection(object):\n <mask token>\n <mask token>\n\n\n<mask token>\n\n\nclass ResponseCollection(object):\n\n def __init__(self, message=None, data=None):\n self.message = messa... | [
4,
5,
6,
7,
9
] |
print "How old are you?",
age = raw_input()
print "How tall are you?",
height = raw_input()
print "How much do you weigh?",
weight = raw_input()
print "So, you're %r old, %r tall, and %r heavy." % (age, height, weight)
#raw_input does not exist in Python 3.x while input() does. raw_input() returns a string, and inp... | normal | {
"blob_id": "4df747b3ff254e0ccc4483acd7be12f3441bbcd8",
"index": 5531,
"step-1": "\nprint \"How old are you?\",\nage = raw_input()\nprint \"How tall are you?\",\nheight = raw_input()\nprint \"How much do you weigh?\",\nweight = raw_input()\n\nprint \"So, you're %r old, %r tall, and %r heavy.\" % (age, height, we... | [
0
] |
"""
This module contains the class definitions for all types of BankAccount
alongside BankAccountCreator as a supporting class to create an
appropriate bank account for a given user type.
"""
from abc import ABC
from abc import abstractmethod
from transaction import Transaction
from budget import Budget
from budget im... | normal | {
"blob_id": "830ae4b6a6b2c4e1bbe6928b3a4b0be86d2ec7a3",
"index": 3743,
"step-1": "<mask token>\n\n\nclass AngelBankAccount(BankAccount):\n <mask token>\n <mask token>\n\n\nclass TroublemakerBankAccount(BankAccount):\n \"\"\"\n This bank account is designed for Troublemaker children. These\n childr... | [
12,
17,
20,
25,
28
] |
from trapezoidal import trapezoidal
from midpoint import midpoint
from math import pi, sin
def integrate_sine(f, a, b, n = 2):
I_t = trapezoidal(f, a, b, n)
I_m = midpoint()
return None
a = 0.0; b = pi
f = lambda x: sin(x) | normal | {
"blob_id": "d99278c8f539322fd83ae5459c3121effc044b88",
"index": 5193,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef integrate_sine(f, a, b, n=2):\n I_t = trapezoidal(f, a, b, n)\n I_m = midpoint()\n return None\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef integrate_sine(f, ... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
#
# File: PatrimonyCertificate.py
#
# Copyright (c) 2015 by CommunesPlone
# Generator: ArchGenXML Version 2.7
# http://plone.org/products/archgenxml
#
# GNU General Public License (GPL)
#
__author__ = """Gauthier BASTIEN <gbastien@commune.sambreville.be>, Stephan GEULETTE
<stephan.ge... | normal | {
"blob_id": "6c0b2fa8166bb21a514dc188858e1de285ad9b0a",
"index": 166,
"step-1": "<mask token>\n\n\nclass PatrimonyCertificate(BaseFolder, GenericLicence, Inquiry,\n BrowserDefaultMixin):\n <mask token>\n security = ClassSecurityInfo()\n implements(interfaces.IPatrimonyCertificate)\n meta_type = 'P... | [
6,
8,
9,
10,
12
] |
import tensorflow as tf
from tensorflow.contrib import layers
from tensorflow.contrib.framework.python.ops import arg_scope
from tensorflow.contrib.layers.python.layers import initializers
from tensorflow.contrib.layers.python.layers import layers as layers_lib
from tensorflow.contrib.layers.python.layers import regula... | normal | {
"blob_id": "ca93f49fbdc1d64e0616bca035a6043b3cc80ddc",
"index": 1485,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef inception_2d_fields(img, fields, num_classes=30, is_training=True,\n dropout_keep_prob=0.6, prediction_fn=layers_lib.softmax,\n spatial_squeeze=True, reuse=None, scope='Ince... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models
class ClassMKB(models.Model):
name = models.CharField(max_length=512,verbose_name = 'Наименование')
code = models.CharField(max_length=20, null=True, blank=True,verbose_name = 'Код')
parent_id = models.IntegerFie... | normal | {
"blob_id": "8753996c90ecea685e6312020dfd31fabb366138",
"index": 5270,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass ClassMKB(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\n class Meta:\n db_table = 'cla... | [
0,
2,
3,
4,
5
] |
def merge(self, intervals):
intervals.sort()
arr = []
for i in intervals:
if len(arr) == 0 or arr[-1][1] < i[0]:
arr.append(i)
else:
arr[-1][1] = max(arr[-1][1], i[1])
return arr
| normal | {
"blob_id": "a65dfca1773c1e4101ebfb953e0f617a2c345695",
"index": 334,
"step-1": "<mask token>\n",
"step-2": "def merge(self, intervals):\n intervals.sort()\n arr = []\n for i in intervals:\n if len(arr) == 0 or arr[-1][1] < i[0]:\n arr.append(i)\n else:\n arr[-1][1]... | [
0,
1
] |
def func_sum_even(n):
e_digit1=n%10
n//=10
e_digit2=n%10
e_digit3=n//10
sum_even=e_digit1*(1-e_digit1%2)+e_digit2*(1-e_digit2%2)+e_digit3*(1-e_digit3%2)
return sum_even
# n=int(input())
# print(func_sum_even(n)) | normal | {
"blob_id": "d567dfe29380a34534308446a9c8940cede84083",
"index": 7571,
"step-1": "<mask token>\n",
"step-2": "def func_sum_even(n):\n e_digit1 = n % 10\n n //= 10\n e_digit2 = n % 10\n e_digit3 = n // 10\n sum_even = e_digit1 * (1 - e_digit1 % 2) + e_digit2 * (1 - e_digit2 % 2\n ) + e_dig... | [
0,
1,
2
] |
import sys
def is_huge(A, B):
return (A[0] > B[0]) and (A[1] > B[1])
if __name__ == '__main__':
bulks = []
num = int(sys.stdin.readline())
for i in range(num):
bulks.append(list(map(int, sys.stdin.readline().split())))
for i in range(len(bulks)):
count = 0
for j in range... | normal | {
"blob_id": "5dc8f420e16ee14ecfdc61413f10a783e819ec32",
"index": 506,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef is_huge(A, B):\n return A[0] > B[0] and A[1] > B[1]\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef is_huge(A, B):\n return A[0] > B[0] and A[1] > B[1]\n\n\nif __nam... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
"""
Created on Thu Jan 2 22:49:00 2020
@author: Drew
____________________________________________________________________
basic_github_auto_uploader.py - A Basic Automated GitHub Uploader
____________________________________________________________________
1. Requirements:
Version: ... | normal | {
"blob_id": "bcc3d4e9be0de575c97bb3bf11eeb379ab5be458",
"index": 5380,
"step-1": "<mask token>\n\n\ndef main():\n subs = subdir_maker(os.path.dirname(os.path.realpath(__file__)))\n for i in range(len(subs)):\n daily_github_upload(subs[i])\n print('_' * 40 + '\\n\\n' + 'Uploaded {0} to Github.... | [
1,
2,
3,
4,
5
] |
def __handle_import():
import sys
import os
cur_path = os.path.dirname(os.path.abspath(os.path.expanduser(__file__)))
lib_path = os.path.join(cur_path, '../../build/lib/')
sys.path.append(lib_path)
proto_path = os.path.join(cur_path, '../../build/protobuf_python/')
sys.path.append(proto_path... | normal | {
"blob_id": "24595979199199ecc6bc6f3a26e0db418def8b78",
"index": 9675,
"step-1": "<mask token>\n",
"step-2": "def __handle_import():\n import sys\n import os\n cur_path = os.path.dirname(os.path.abspath(os.path.expanduser(__file__)))\n lib_path = os.path.join(cur_path, '../../build/lib/')\n sys.... | [
0,
1,
2
] |
from bs4 import BeautifulSoup, CData
import requests,sys,csv,json,os, urllib.request, re
import json
url2 = "http://ufm.edu/Estudios"
def estudios(Minisoup):
print("2.Estudios")
#now navigate to /Estudios (better if you obtain href from the DOM)
try:
html_content = requests.get(url2).text
except:
print(... | normal | {
"blob_id": "846682072a125c76fc9ffa011109abce7c3bb5d7",
"index": 3269,
"step-1": "<mask token>\n\n\ndef estudios(Minisoup):\n print('2.Estudios')\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef estudios(Minisoup):\n print('2.Estudios')\n\n\ntry:\n html_content = requests.get(url2).text\nexcept:... | [
1,
2,
3,
4,
5
] |
highscores = []
scores = []
while True:
user = input('> ').split(' ')
score = int(user[0])
name = user[1]
scores.append([score, name])
scores.sort(reverse=True)
if len(scores) < 3:
highscores = scores
else:
highscores = scores[:3]
print(highscores)
| normal | {
"blob_id": "54e5feee3c8bb35c351361fd3ed4b5e237e5973d",
"index": 6701,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile True:\n user = input('> ').split(' ')\n score = int(user[0])\n name = user[1]\n scores.append([score, name])\n scores.sort(reverse=True)\n if len(scores) < 3:\n ... | [
0,
1,
2
] |
import queue
import sys
import logging
from superai.common import InitLog
logger = logging.getLogger(__name__)
# 2维到1维
def hwToidx(x: int, y: int, weight: int):
return y * weight + x
# 1维到2维
def idxTohw(idx, weight: int):
return [idx % weight, idx // weight]
# 10x10 cell idx 到 [x,y]
def idxToXY(idx, cel... | normal | {
"blob_id": "b6d8a918659f733919fe3bb4be9037e36ad32386",
"index": 272,
"step-1": "<mask token>\n\n\nclass Graph:\n\n def __init__(self, V: int, W: int):\n self.V = V\n self.E = 0\n self.adj = []\n self.W = W\n for i in range(V):\n nears = []\n self.adj.a... | [
14,
17,
18,
19,
24
] |
# Copyright 2016 Osvaldo Santana Neto
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | normal | {
"blob_id": "09284a96467b09c2ad7b65530c015fdb64b198a4",
"index": 2638,
"step-1": "<mask token>\n\n\nclass ModelBuilder:\n <mask token>\n <mask token>\n <mask token>\n\n def build_user(self, user_data):\n user = User(name=user_data.nome, federal_tax_number=\n FederalTaxNumber(user_da... | [
29,
30,
33,
37,
42
] |
import json
import os
import ssl
from ldap3 import Server, Connection, Tls, SUBTREE, ALL
# Include root CA certificate path if you use a self signed AD certificate
SSL_CERT_PATH = "path/to/cert.pem"
# Include the FQDN of your Domain Controller here
FQDN = "ad.example.com"
# Search base is the CN of the container w... | normal | {
"blob_id": "9ca5c052db43c1d8b0cafa18038b3ebcd80067f7",
"index": 4710,
"step-1": "<mask token>\n\n\ndef __main__():\n email = input(\"Please input the departing user's email address: \")\n ad_result = deprovision_AD(email)\n print(ad_result)\n",
"step-2": "<mask token>\n\n\ndef deprovision_AD(email):\... | [
1,
2,
3,
4,
5
] |
from datetime import timedelta, datetime
import glob
import json
import os
import re
import pickle
import os,time
import pandas as pd
import numpy as np
from collections import Counter
from sentencepiece import SentencePieceTrainer
from sentencepiece import SentencePieceProcessor
from sklearn.feature_extraction.text i... | normal | {
"blob_id": "05573b4ff68ca8638f8e13946b410df2a012840a",
"index": 1829,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef song_inference():\n sp_total_model_path = 'sp_total'\n train = pd.read_json('./dataset/train.json', typ='frame', encoding='utf-8')\n song = pd.read_json('./dataset/song_m... | [
0,
1,
2,
3,
4
] |
import db
data = {'python book': ['10.09.2019', 200, 50, False]}
def test_insert_and_get_db(data):
db.insert(data)
result = db.get_db()
return result == data
if __name__ == '__main__':
print(
f' Test insert dict in to db, and get dict from db is {test_insert_and_get_db(data)}'
)
... | normal | {
"blob_id": "d5cb875dc31ca3dd7b165206415c346a076dd6e4",
"index": 2901,
"step-1": "<mask token>\n\n\ndef test_insert_and_get_db(data):\n db.insert(data)\n result = db.get_db()\n return result == data\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_insert_and_get_db(data):\n db.insert(dat... | [
1,
2,
3,
4
] |
from random import shuffle
"""all sorting algorithm implementation"""
class Sorts:
def quick_sort(self, elements):
"""quick sort implementation"""
if len(elements) < 2:
return elements
else:
shuffle(elements)
pivot = elements[0]
print("pivot ... | normal | {
"blob_id": "2044140fb2678f9507946007fdfb7edbaf11798e",
"index": 5683,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Sorts:\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Sorts:\n\n def quick_sort(self, elements):\n \"\"\"quick sort implementation\"\"\"\n if len(el... | [
0,
1,
2,
3,
4
] |
import logging
from common.loghdl import getLogHandler
from datastore.dbutil import DBSQLLite, getDSConnStr
#from utils.generator import random_password
#from datastore.dbadmin import DBAdmin
#from datastore.initevaldb import *
############################ TESTING TO BE REMOVED
# md = cfg
#def test_spetest(c... | normal | {
"blob_id": "c3970ad8bddb1ca136724f589ff9088024157662",
"index": 7942,
"step-1": "\nimport logging\n\nfrom common.loghdl import getLogHandler\nfrom datastore.dbutil import DBSQLLite, getDSConnStr\n\n\n#from utils.generator import random_password\n#from datastore.dbadmin import DBAdmin\n#from datastore.initeva... | [
0
] |
import glob
import xarray as xr
from model_diagnostics import *
data_root = '../data/synthetic/standard/'
var_list = ['hs', 'dp', 'spr', 'fp', 'dir', 't0m1']
eke = 0.01
##########################
output = []
diagnostic_functions = [basic_stats]
for var in var_list:
grid_files = glob.glob(data_root+'gridded/*%s*%s... | normal | {
"blob_id": "6b727cdfc684db4ba919cd5390fe45de43a806fe",
"index": 309,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor var in var_list:\n grid_files = glob.glob(data_root + 'gridded/*%s*%s.nc' % (eke, var))\n for f in grid_files:\n output.append(analize_member(f, var, diagnostic_functions)... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/python
# -*- coding:utf-8 -*-
import numpy as np
from functools import reduce
def element_wise_op(x, operation):
for i in np.nditer(x, op_flags=['readwrite']):
i[...] = operation[i]
class RecurrentLayer(object):
def __init__(self, input_dim, state_dim, activator, learning_rate):
se... | normal | {
"blob_id": "b34ce3ac87a01b8e80abc3fde1c91638f2896610",
"index": 2392,
"step-1": "<mask token>\n\n\nclass RecurrentLayer(object):\n <mask token>\n\n def forward(self, input_vec):\n self.time += 1\n state = np.dot(self.U, input_vec) + np.dot(self.W, self.state_list[-1])\n element_wise_o... | [
3,
8,
9,
10,
12
] |
import widget
import column
class Columns(widget.Widget):
def __init__(self, parent):
super(Columns, self).__init__(parent)
# self.root.mouse.on_drag_release.append(self.on_drag_release)
"""
def on_drag_release(self, x0, y0, x, y):
if not self.contains_point(x0, y0):
re... | normal | {
"blob_id": "e0874554c326bb11b53552e362bc8073bb57bc93",
"index": 9720,
"step-1": "<mask token>\n\n\nclass Columns(widget.Widget):\n\n def __init__(self, parent):\n super(Columns, self).__init__(parent)\n <mask token>\n\n def add_column(self):\n col = column.Column(self)\n self.child... | [
4,
5,
6,
7,
8
] |
#!/usr/bin/env python
#coding=utf-8
#author:maohan
#date:20160706
#decription:通过百度api获取相关信息，并保存为xls格式
#ver:1.0
import urllib2
import json
import sys
from pyExcelerator import *
def bd_finder(qw,region,page_num):
page_size='20'
bd_ak='wkEmrv7B1l0KPpi30F1G2VMx10xEdeol'
bd_url='http://api.map.baidu.com/place/v2/search?... | normal | {
"blob_id": "941a93c66a5131712f337ad055bbf2a93e6ec10d",
"index": 1634,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef bd_finder(qw, region, page_num):\n page_size = '20'\n bd_ak = 'wkEmrv7B1l0KPpi30F1G2VMx10xEdeol'\n bd_url = 'http://api.map.baidu.com/place/v2/search?'\n furl = (bd_ur... | [
0,
1,
2,
3,
4
] |
import json
import struct
import pymel.core as pmc
import os.path
def exportVSSD(path, camName, wantTris=False, renderdata=None):
mainFileDict = {}
mainFilePath = path
mainFileStem = os.path.basename(path)[:-5]
mainFileDir = os.path.dirname(path)
resolution = pmc.ls('defaultResolution')[0]
ren... | normal | {
"blob_id": "004a9cd0e459116bf3f88f3546ff4eded3dfb2a8",
"index": 2512,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef exportVSSD(path, camName, wantTris=False, renderdata=None):\n mainFileDict = {}\n mainFilePath = path\n mainFileStem = os.path.basename(path)[:-5]\n mainFileDir = os.p... | [
0,
1,
2
] |
# Midterm Review Class!
'''
This is a Multi line comment:
'''
# Break and Continue
# for i in range(10):
# if i == 5:
# continue
# print(i)
# Prints 0-4, 6-9
# # Structure
# Some MCQ
# Some T/F
# Some short answer
# # Lists
# Append
# remove
# del
# ... | normal | {
"blob_id": "3d3b77630d275f830daf9f6e0d50a77ef624521e",
"index": 7139,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(0, 100, 10):\n print(i + 10)\n",
"step-3": "# Midterm Review Class!\n\n'''\nThis is a Multi line comment:\n'''\n\n# Break and Continue\n # for i in range(10):\n ... | [
0,
1,
2
] |
from svjesus.ffz import genContent
from svjesus.elements.Base import Element
class Descriptive(Element):
def __init__(self):
self.allowedChildren = () # TODO: Check what's allowed
# Descriptive elements
class Desc(Descriptive):
name = "desc"
attrs = ()
class Metadata(Descriptive):
name = "metadata"
attrs = ()... | normal | {
"blob_id": "178570047458eb3eeda00f9153ef2159eb4cbef3",
"index": 9188,
"step-1": "<mask token>\n\n\nclass Desc(Descriptive):\n name = 'desc'\n attrs = ()\n\n\nclass Metadata(Descriptive):\n name = 'metadata'\n attrs = ()\n\n\nclass Title(Descriptive):\n name = 'title'\n attrs = ()\n",
"step-2... | [
6,
7,
8,
9,
10
] |
# -*- coding: utf-8 -*-
from datetime import datetime
from odoo.addons.report_xlsx.report.report_xlsx import ReportXlsx
from odoo.tools import DEFAULT_SERVER_DATE_FORMAT
import xlwt
from odoo import _
from odoo.exceptions import AccessError, UserError
class mutasibankjurnal(ReportXlsx):
def generate_xlsx_r... | normal | {
"blob_id": "950929edc82bf78ee33df117fba370b937255adc",
"index": 1703,
"step-1": "<mask token>\n\n\nclass mutasibankjurnal(ReportXlsx):\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass mutasibankjurnal(ReportXlsx):\n\n def generate_xlsx_report(self, workbook, data, wizard):\n ... | [
1,
2,
3,
4,
5
] |
import numpy as np
import cv2
import sys
import math
cap = cv2.VideoCapture(0)
while(True):
_, img = cap.read()
#gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
img = cv2.imread("zielfeld_mit_Zeugs_2.png")
#img = cv2.imread("zielfeld_mit_Zeugs_2.jpg")
#imS = cv2.resize(img, (480, 480... | normal | {
"blob_id": "3f5ae2b25fc506b980de3ee87c952ff699e10003",
"index": 4977,
"step-1": "import numpy as np\r\nimport cv2\r\nimport sys\r\nimport math\r\n\r\n\r\n\r\ncap = cv2.VideoCapture(0)\r\n\r\nwhile(True):\r\n _, img = cap.read()\r\n #gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\r\n\r\n img = cv2.imread(\... | [
0
] |
#!/usr/bin/env python3
from flask import Flask, request
from flask_restplus import Resource, Api, fields
from pymongo import MongoClient
from bson.objectid import ObjectId
import requests, datetime, re
#------------- CONFIG CONSTANTS -------------#
DEBUG = True
MAX_PAGE_LIMIT = 2
COLLECTION = 'indicators'
DB_CONFIG =... | normal | {
"blob_id": "75958b48a3372b56e072a0caa468171ab6b99eb6",
"index": 8917,
"step-1": "<mask token>\n\n\n@api.route(f'/{COLLECTION}/<collection_id>', endpoint=f'{COLLECTION}_by_id')\n@api.param('collection_id', f'Unique id, used to distinguish {COLLECTION}.')\nclass CollectionsById(Resource):\n\n @api.doc(descript... | [
7,
11,
15,
16,
19
] |
import io
import os
import sys
import whwn
from setuptools import setup, find_packages
from setuptools.command.test import test as TestCommand
here = os.path.abspath(os.path.dirname(__file__))
with open('README.md') as readme:
long_description = readme.read()
with open('requirements.txt') as reqs:
install_re... | normal | {
"blob_id": "bd2a5c2dd3eef5979c87a488fb584dce740ccb05",
"index": 3870,
"step-1": "<mask token>\n\n\nclass PyTest(TestCommand):\n\n def finalize_options(self):\n TestCommand.finalize_options(self)\n self.test_args = []\n self.test_suite = True\n\n def run_tests(self):\n import py... | [
3,
4,
5,
6,
7
] |
#!/usr/bin/env python
from ROOT import TFileMerger
import subprocess
def MergeFiles(output, fileList, skipList=[], acceptList=[], n=20):
merger = TFileMerger(False)
merger.OutputFile(output);
merger.SetMaxOpenedFiles(n);
print "Total number of files is {0}".format(len(fileList))
for fileName... | normal | {
"blob_id": "95f7710fb0137617025819b6240312ce02915328",
"index": 173,
"step-1": "#!/usr/bin/env python\n\nfrom ROOT import TFileMerger\nimport subprocess\n\ndef MergeFiles(output, fileList, skipList=[], acceptList=[], n=20):\n merger = TFileMerger(False)\n merger.OutputFile(output);\n merger.SetMaxOpene... | [
0
] |
from flask_sqlalchemy import SQLAlchemy
from flask_cors import CORS
import urllib
from flask import Flask
########################################################################################DataBase@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@2
#connection string
params = urllib.parse.quote_plus('Driv... | normal | {
"blob_id": "6928ff58ddb97883a43dfd867ff9a89db72ae348",
"index": 6567,
"step-1": "<mask token>\n\n\nclass Entity_list_user(db.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>... | [
3,
4,
5,
6,
7
] |
#!/usr/bin/env python
from cos_correct_v2 import *
from angle_to_position import *
import pandas as pd
import datetime as dt
def get_position_from_angle(razon, data, start, end):
# Obtain cos factors and corrected data
dni_df, altitude_angles, azimuth_angles = data
cos_correct_df = razon.get_cos_factors(... | normal | {
"blob_id": "13a4fb5ce9ab0a3ef9ce503698615eae4157a637",
"index": 7962,
"step-1": "<mask token>\n\n\ndef get_position_from_angle(razon, data, start, end):\n dni_df, altitude_angles, azimuth_angles = data\n cos_correct_df = razon.get_cos_factors(altitude_angles, azimuth_angles)\n dni_df = razon.cos_correc... | [
1,
2,
3,
4,
5
] |
from django.db import models
from django.contrib.auth.models import User
class CustomUser(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE, related_name='custom_user')
def get_current_score(self):
acc = 0
for score in self.user_scores.all():
acc += score.p... | normal | {
"blob_id": "dc27781d0c3129d11aa98a5889aea0383b5a49d6",
"index": 3571,
"step-1": "<mask token>\n\n\nclass Team(models.Model):\n <mask token>\n <mask token>\n\n def __str__(self):\n return self.name + ' ' + str(self.id)\n\n\nclass Leaderboard(models.Model):\n end_date = models.DateField(auto_no... | [
8,
9,
10,
13,
15
] |
#!/usr/bin/env python
# encoding: utf-8
from rest_client import PY2
from tornado.testing import gen_test
from tornado.web import Application, RequestHandler
from .server import AsyncRESTTestCase
class Handler(RequestHandler):
if PY2:
S = '\xd0\x9f\xd1\x80\xd0\xb8\xd0\xb2\xd0\xb5\xd1\x82 \xd0\xbc\xd0\xb8\x... | normal | {
"blob_id": "4bbd97942023370e053ccf4b5c1496c7247c7bf2",
"index": 9026,
"step-1": "<mask token>\n\n\nclass TestCopy(AsyncRESTTestCase):\n <mask token>\n\n @gen_test\n def test_get(self):\n response = yield self.http_client.get(self.api_url.format('/'))\n assert response.body == Handler.S\n"... | [
2,
3,
4,
6,
7
] |
a = [66.25, 333, 333, 1, 1234.5]
a.index(333)
print(a)
| normal | {
"blob_id": "7aba77137b96071101078c38c1c9397bf837d92a",
"index": 1378,
"step-1": "<mask token>\n",
"step-2": "<mask token>\na.index(333)\nprint(a)\n",
"step-3": "a = [66.25, 333, 333, 1, 1234.5]\na.index(333)\nprint(a)\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from nose.tools import *
from json import json
def test_json_basestring():
assert_equals(json("Hello World"), '"Hello World"')
def test_json_integer():
assert_equals(json(9), "9")
def test_json_float():
assert_equals(json(1.234), "1.234")
def test_json... | normal | {
"blob_id": "09ce2aeccfd1f3f4f130fd79001db47485cc95c2",
"index": 9891,
"step-1": "<mask token>\n\n\ndef test_json_float():\n assert_equals(json(1.234), '1.234')\n\n\ndef test_json_array():\n data = [1, 2, 3]\n assert_equals(json(data), '[1,2,3]')\n\n\ndef test_json_array02():\n data = ['bla', 1, 1.2]... | [
12,
13,
19,
22,
24
] |
import torch
import numpy as np
import cv2
import torchvision
from PIL import Image
def people_on_image(path_to_image):
color_map = [
(255, 255, 255), # background
(255, 255, 255), # aeroplane
(255, 255, 255), # bicycle
(255, 255, 255), ... | normal | {
"blob_id": "2193c97b7f1fcf204007c2528ecc47cbf3c67e81",
"index": 9992,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef people_on_image(path_to_image):\n color_map = [(255, 255, 255), (255, 255, 255), (255, 255, 255), (255, \n 255, 255), (255, 255, 255), (255, 255, 255), (255, 255, 255), ... | [
0,
1,
2,
3
] |
from functools import partial
import utils.functions as fn
import random as rd
import numpy as np
import time
class NeuralNetwork:
def __init__(self, input_size, hidden_size, output_size):
self.input_size = input_size
self.hidden_size = hidden_size
self.output_size = output_size
... | normal | {
"blob_id": "f24516d8977b10b1ccece2f8eaec6e08ce0c2e16",
"index": 9689,
"step-1": "<mask token>\n\n\nclass NeuralNetwork:\n\n def __init__(self, input_size, hidden_size, output_size):\n self.input_size = input_size\n self.hidden_size = hidden_size\n self.output_size = output_size\n ... | [
5,
6,
7,
8,
9
] |
import numpy as np
from sklearn.ensemble import RandomForestClassifier
from sklearn.grid_search import GridSearchCV
import matplotlib.pyplot as plt
def loadTrainSet(filepath):
raw = np.loadtxt(filepath, delimiter=',', dtype=np.str, skiprows=1)
X, y = raw[:,1:], raw[:,0]
trainSet = np.hstack((X, y.reshape(-... | normal | {
"blob_id": "08f0b261b5a9b0f5133c468b3f92dc00285eda6a",
"index": 4477,
"step-1": "<mask token>\n\n\ndef gridsearchcv(X, y):\n accuracy = []\n stdlist = []\n classifier = RandomForestClassifier(verbose=2, n_jobs=1, oob_score=1)\n param_grid = {'n_estimators': np.arange(1, 100, 10)}\n grid = GridSea... | [
1,
2,
3,
4,
5
] |
#!/usr/bin/env python
# encoding: utf-8
from tree import *
def findKthNode(root, k):
if not root:
return None
if root.number < k or k <= 0:
return None
if k == 1:
return root
if root.left and root.left.number >= k-1:
return findKthNode(root.left, k - 1)
else:
... | normal | {
"blob_id": "b9675bc65e06624c7f039188379b76da8e58fb19",
"index": 1623,
"step-1": "<mask token>\n\n\ndef findKthNode(root, k):\n if not root:\n return None\n if root.number < k or k <= 0:\n return None\n if k == 1:\n return root\n if root.left and root.left.number >= k - 1:\n ... | [
1,
2,
3,
4,
5
] |
# -*- coding: utf-8 -*-
import sys
from os import listdir, makedirs, unlink
from os.path import isdir, join, isfile, exists
from shutil import copy
import random
def clearDirectory( path ):#将dataset里面的文件都删除
for the_file in listdir(path):
file_path = join(path, the_file)
try:
if isfile(file_path):
... | normal | {
"blob_id": "a714ac227d5185d7b4a932695ba6698e18d96341",
"index": 629,
"step-1": "# -*- coding: utf-8 -*-\nimport sys\nfrom os import listdir, makedirs, unlink\nfrom os.path import isdir, join, isfile, exists\nfrom shutil import copy\nimport random\n\ndef clearDirectory( path ):#将dataset里面的文件都删除\n\tfor the_file i... | [
0
] |
import sys
sys.setrecursionlimit(1000000)
n, q = map(int, input().split())
graph = [set([]) for _ in range(n)]
for _ in range(n - 1):
a, b = map(int, input().split())
graph[a - 1].add(b - 1)
graph[b - 1].add(a - 1)
def dfs(i):
if temp[i]:
return
temp[i] = True
if i in odd:
for... | normal | {
"blob_id": "bab6b9a0178da119f753deb6c626dd5c41db2bdd",
"index": 2004,
"step-1": "<mask token>\n\n\ndef dfs(i):\n if temp[i]:\n return\n temp[i] = True\n if i in odd:\n for j in graph[i]:\n even.add(j)\n dfs(j)\n else:\n for j in graph[i]:\n odd.a... | [
1,
2,
3,
4,
5
] |
'''
Import necessary libraries
'''
import re
import csv
import os
from urllib.request import urlopen, Request
from bs4 import BeautifulSoup as soup
'''
Function to request page html from given URL
'''
def page_html(requested_url):
try:
# define headers to be provided for request authenticatio... | normal | {
"blob_id": "5bfb7fc60ddf4f6ad6d89771eb0a8903b04da3d9",
"index": 6187,
"step-1": "<mask token>\n\n\ndef page_html(requested_url):\n try:\n headers = {'User-Agent':\n 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 Safari/537.11'\n , 'Acc... | [
3,
4,
5,
6,
7
] |
from werkzeug.security import check_password_hash, generate_password_hash
from datetime import datetime
from app import db
from app import login
from flask_login import UserMixin
@login.user_loader
def load_user(id):
return User.query.get(int(id))
class User(UserMixin, db.Model):
user_id = db.Column(db.Integer, p... | normal | {
"blob_id": "5cfdb1f6b99f59a83a9bd42b7daf3e016eee94a8",
"index": 2898,
"step-1": "<mask token>\n\n\nclass Post(db.Model):\n post_id = db.Column(db.Integer, primary_key=True, nullable=False)\n title = db.Column(db.String(50))\n body = db.Column(db.String(200))\n timestamp = db.Column(db.DateTime, inde... | [
5,
8,
10,
11,
13
] |
import numpy as np
from math import inf
"""
Strategy made by duckboycool for carykh's Prisoner's Dilemma Tournament. (https://youtu.be/r2Fw_rms-mA)
It is a nice Tit for Tat based strategy that attempts to detect when the opponent is not changing their actions based
off of ours so we can maximize with defects, and att... | normal | {
"blob_id": "8ae6630ccd2f2b5a10401cadb4574772f6ecbc4a",
"index": 4478,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef strategy(history, memory):\n if not history.size:\n counts.clear()\n for x in patterns:\n counts.append(0)\n if memory:\n return memory.pop(0... | [
0,
1,
2,
3,
4
] |
from ttkwidgets import CheckboxTreeview
from tkinter import *
from tkinter.ttk import *
from tkinter import messagebox
import json
import os
from DbDataloader import *
class DataLoader():
def __init__(self,master):
self.anne={}
self.master=Toplevel(master)
master.wait_visibility(self.master)... | normal | {
"blob_id": "a70dae504a4dfa3997a11e4c605accfab0024318",
"index": 8796,
"step-1": "<mask token>\n\n\nclass DataLoader:\n <mask token>\n\n def main(self):\n choice = messagebox.askyesno('askquestion',\n 'Cliquer sur Oui pour charger les données en mode Trasactionnel')\n if choice:\n ... | [
5,
6,
7,
8,
9
] |
v1=int(input("Introdu virsta primei persoane"))
v2=int(input("Introdu virsta persoanei a doua"))
v3=int(input("Introdu virsta persoanei a treia"))
if ((v1>18)and(v1<60)):
print(v1)
elif((v2>18)and(v2<60)):
print(v2)
elif((v3>18)and(v3<60)):
print(v3) | normal | {
"blob_id": "b8c749052af0061373808addea3ad419c35e1a29",
"index": 3324,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif v1 > 18 and v1 < 60:\n print(v1)\nelif v2 > 18 and v2 < 60:\n print(v2)\nelif v3 > 18 and v3 < 60:\n print(v3)\n",
"step-3": "v1 = int(input('Introdu virsta primei persoane'... | [
0,
1,
2,
3
] |
# Copyright 2014 The crabapple Authors. All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
import abc
class Notifier(object):
__metaclass__ = abc.ABCMeta
def __init__(self):
pass
@abc.abstractmethod
def config(self, kwa... | normal | {
"blob_id": "f25351a3cb7bf583152baa8e7ec47b0f2161cb9c",
"index": 761,
"step-1": "<mask token>\n\n\nclass Notifier(object):\n <mask token>\n\n def __init__(self):\n pass\n <mask token>\n\n @abc.abstractmethod\n def send(self, msg):\n pass\n",
"step-2": "<mask token>\n\n\nclass Notif... | [
3,
4,
5,
6,
7
] |
# encoding = utf-8
import hmac
import time
from hashlib import sha1
def get_signature(now_):
# 签名由clientId,grantType,source,timestamp四个参数生成
h = hmac.new(
key='d1b964811afb40118a12068ff74a12f4'.encode('utf-8'),
digestmod=sha1)
grant_type = 'password'
client_id = 'c3cef7c66a1843f8b3a9e6a... | normal | {
"blob_id": "757a69f9ceaa3434c6d9f8b1fcdbadd991190f29",
"index": 9315,
"step-1": "<mask token>\n\n\ndef get_signature(now_):\n h = hmac.new(key='d1b964811afb40118a12068ff74a12f4'.encode('utf-8'),\n digestmod=sha1)\n grant_type = 'password'\n client_id = 'c3cef7c66a1843f8b3a9e6a1e3160e20'\n sou... | [
1,
2,
3,
4,
5
] |
import django_filters
from .models import Drinks, Brand
class DrinkFilter(django_filters.FilterSet):
BRAND_CHOICES = tuple(
(brand.name, brand.name) for brand in Brand.objects.all())
name = django_filters.CharFilter(lookup_expr='icontains')
price_lt = django_filters.NumberFilter(field_name='price'... | normal | {
"blob_id": "a096e811e50e25e47a9b76b1f813c51f4307bbfe",
"index": 331,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass DrinkFilter(django_filters.FilterSet):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\n clas... | [
0,
1,
2,
3,
4
] |
__author__ = 'Administrator'
#coding:utf-8
def calculate_score(calculation_params):
"""
计算选手在一跳中的得分，共7名裁判，去掉两个最高分和两个最低分，余下3名裁判员的分数之和乘以运动员所跳动作的难度系数，便得出该动作的实得分
传入参数为字典
calculation_params["score_list"] = []
calculation_params["difficulty"] = float
"""
score_list = calculation_params["score_list... | normal | {
"blob_id": "52872804a069cd954bea247b64041eceafd8d139",
"index": 7673,
"step-1": "__author__ = 'Administrator'\n#coding:utf-8\ndef calculate_score(calculation_params):\n \"\"\"\n 计算选手在一跳中的得分，共7名裁判，去掉两个最高分和两个最低分，余下3名裁判员的分数之和乘以运动员所跳动作的难度系数，便得出该动作的实得分\n 传入参数为字典\n calculation_params[\"score_list\"] = []\... | [
0
] |
#!/usr/bin/python
import calendar
a=int(raw_input("enter the year to check that year is leap year or not\n"))
cal=calendar.isleap(a)
if cal :
print "leap year"
else :
print "not a leap year"
print "\nthanks "
'''
'''
| normal | {
"blob_id": "a077221d91f75645172ba5d86afad8e49cb7ed2f",
"index": 2796,
"step-1": "#!/usr/bin/python\nimport calendar\n\na=int(raw_input(\"enter the year to check that year is leap year or not\\n\")) \ncal=calendar.isleap(a)\n \nif cal :\n\t\t\tprint \"leap year\"\nelse :\n\t\t\tprint \"not a leap year\"\n\nprint... | [
0
] |
"""Initial migration
Revision ID: 1f2296edbc75
Revises: 7417382a3f1
Create Date: 2014-01-19 23:04:58.877817
"""
# revision identifiers, used by Alembic.
revision = '1f2296edbc75'
down_revision = '7417382a3f1'
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
from sqlalchemy i... | normal | {
"blob_id": "7df55853d0f4f1bf56512c4427d7f91e9c1f2279",
"index": 6524,
"step-1": "<mask token>\n\n\ndef downgrade():\n op.drop_index('ix_ballot_measure_tags_ballot_measure_id',\n 'ballot_measure_tags')\n op.drop_index('ix_ballot_measure_tags_tag_id', 'ballot_measure_tags')\n op.drop_table(u'ballo... | [
1,
2,
3,
4,
5
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.