code stringlengths 13 1.2M | order_type stringclasses 1
value | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
from sklearn.tree import DecisionTreeClassifier
from sklearn.model_selection import train_test_split
import pandas as pd
import numpy as np
from sklearn.datasets import load_iris
from sklearn.model_selection import cross_val_score
iris_dataset=load_iris()
X=iris_dataset['data']
y=iris_dataset['target']
X_tra... | normal | {
"blob_id": "cc46485a3b5c68e4f77a2f9a033fd2ee2859b52b",
"index": 978,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor c in range(1, 11):\n tree = DecisionTreeClassifier(max_depth=4, random_state=c)\n model.append(tree.fit(X_train, y_train))\n<mask token>\nfor a in model:\n in_sample_accuracy.... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from tests import unittest
from kepler.descriptors import *
class DescriptorsTestCase(unittest.TestCase):
def testEnumDefaultsToNoopMapper(self):
class Record(object):
cat = Enum(name='cat', enums=['Lucy Cat', 'Hot Pocket'])
... | normal | {
"blob_id": "3eb40dfe68573b93c544a2279ac5c8728ae9601f",
"index": 7485,
"step-1": "<mask token>\n\n\nclass DescriptorsTestCase(unittest.TestCase):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass DescriptorsTestCase(unittest.TestCase):\n\n def testEnumDefaultsToNoopMapper(self):\n\n... | [
1,
2,
3,
4,
5
] |
import requests
import json
import logging
import time
from alto.server.components.datasource import DBInfo, DataSourceAgent
class CRICAgent(DataSourceAgent):
def __init__(self, dbinfo: DBInfo, name: str, namespace='default', **cfg):
super().__init__(dbinfo, name, namespace)
self.uri = self.ensu... | normal | {
"blob_id": "55c00ce4c1657dc5ce78e5eeccd8e9625c0590dc",
"index": 5345,
"step-1": "<mask token>\n\n\nclass CRICAgent(DataSourceAgent):\n <mask token>\n <mask token>\n\n def run(self):\n if self.refresh_interval is None:\n self.refresh_interval = 60\n while True:\n self... | [
2,
3,
4,
5,
6
] |
import discord
from discord.ext import commands
from discord.ext.commands import Bot
import asyncio
import random
import requests
import os
#Discord Tech Stuff
BOT_PREFIX = ("!")
client = discord.Client()
client = Bot(command_prefix=BOT_PREFIX)
#Functions of the Funny Coin
@client.command()
async def wasitfunny():... | normal | {
"blob_id": "f047afeb6462ab01a8fea1f3c8693608335eb960",
"index": 3488,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@client.command()\nasync def wasitfunny():\n possible_responses = [\n 'Per the judgement from the committee of comedy, we have decided that the joke was indeed funny'\n ... | [
0,
1,
2,
3,
4
] |
# Generated by Django 3.0.2 on 2020-02-18 05:52
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('myapp', '0003_admin'),
]
operations = [
migrations.DeleteModel(
name='admin',
),
migrations.RemoveField(
mod... | normal | {
"blob_id": "c0bf146ebfdb54cce80ef85c4c7f4a61632e67d4",
"index": 3371,
"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 = [('myapp', '00... | [
0,
1,
2,
3,
4
] |
import typing
from rest_framework.exceptions import ValidationError
from rest_framework.request import Request
def extract_organization_id_from_request_query(request):
return request.query_params.get('organization') or request.query_params.get('organization_id')
def extract_organization_id_from_request_data(re... | normal | {
"blob_id": "0b7523035fdad74454e51dc9da9fc4e9bea2f6bf",
"index": 6904,
"step-1": "<mask token>\n\n\ndef extract_field_from_request(request: Request, field_name: str\n ) ->typing.Optional[int]:\n \"\"\"\n Extracts attribte from request\n if attribute is present in data it has precedence over query par... | [
1,
2,
3,
4,
5
] |
# -*- encoding: utf-8 -*-
#
# BigBrotherBot(B3) (www.bigbrotherbot.net)
# Copyright (C) 2011 Thomas "Courgette" LÉVEIL <courgette@bigbrotherbot.net>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundat... | normal | {
"blob_id": "903d5913025d7d61ed50285785ec7f683047b49a",
"index": 8960,
"step-1": "# -*- encoding: utf-8 -*-\n#\n# BigBrotherBot(B3) (www.bigbrotherbot.net)\n# Copyright (C) 2011 Thomas \"Courgette\" LÉVEIL <courgette@bigbrotherbot.net>\n#\n# This program is free software; you can redistribute it and/or modify\n#... | [
0
] |
import numpy as np
from math import sqrt
import warnings
from collections import Counter
import pandas as pd
import random
def k_NN(data, predict, k=3):
if len(data) >= k:
warnings.warn("K is set to a value less than total voting groups !")
distances = []
[[ distances.append([np.linalg.norm(np.array(features) - ... | normal | {
"blob_id": "c6ce6ffe46be993bfe74ccb240e1ebf586c9f556",
"index": 7656,
"step-1": "<mask token>\n\n\ndef k_NN(data, predict, k=3):\n if len(data) >= k:\n warnings.warn('K is set to a value less than total voting groups !')\n distances = []\n [[distances.append([np.linalg.norm(np.array(features) - ... | [
1,
2,
3,
4,
5
] |
# -*- coding: utf8 -*-
'''
dump data from mysql/hive to load into mysql
'''
from datetime import datetime,timedelta
from optparse import OptionParser
import argparse
import ConfigParser
import sys
import os
import time
import commonutil
def getConf(cfgfile):
config = ConfigParser.ConfigParser()
... | normal | {
"blob_id": "df984939c109662bebbd1556c12223fce8f643e6",
"index": 1773,
"step-1": "<mask token>\n\n\ndef truncateFile(fileName):\n fileTemp = open(fileName, 'w')\n fileTemp.truncate()\n fileTemp.close()\n\n\ndef getConnBySecName(dbConf, secName):\n descSec = ''\n secs = dbConf.sections()\n for s... | [
3,
4,
6,
7,
8
] |
from django import forms
from django.contrib.auth.models import User
from django.contrib.auth.forms import UserCreationForm
from .models import Upload
class DocumentForm(forms.ModelForm):
class Meta:
model = Upload
fields = ('document',)
| normal | {
"blob_id": "e7b1ccbcbb81ff02561d858a4db54d49a2aa0f8a",
"index": 6094,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass DocumentForm(forms.ModelForm):\n\n\n class Meta:\n model = Upload\n fields = 'document',\n",
"step-3": "from django import forms\nfrom django.contrib.auth.mod... | [
0,
1,
2,
3
] |
print(10-10)
print(1000-80)
print(10/5)
print(10/6)
print(10//6) # remoção das casas decimais
print(10*800)
print(55*5)
| normal | {
"blob_id": "e488761c15ee8cddbb7577d5340ee9001193c1a4",
"index": 4767,
"step-1": "<mask token>\n",
"step-2": "print(10 - 10)\nprint(1000 - 80)\nprint(10 / 5)\nprint(10 / 6)\nprint(10 // 6)\nprint(10 * 800)\nprint(55 * 5)\n",
"step-3": "print(10-10)\r\nprint(1000-80)\r\nprint(10/5)\r\nprint(10/6)\r\nprint(10/... | [
0,
1,
2
] |
from flask import Flask, render_template, request, redirect
#from gevent.pywsgi import WSGIServer
import model as db
import sys
import time, calendar
import jsonify
def get_date(date):
date = date.split("/")
time = str(date[0])
day_str = calendar.day_name[calendar.weekday(int(date[3]), int(date[2]), int(da... | normal | {
"blob_id": "79390f3ae5dc4cc9105a672d4838a8b1ba53a248",
"index": 3959,
"step-1": "<mask token>\n\n\ndef get_date(date):\n date = date.split('/')\n time = str(date[0])\n day_str = calendar.day_name[calendar.weekday(int(date[3]), int(date[2]),\n int(date[1]))]\n day_num = str(int(date[1]))\n ... | [
6,
8,
9,
10,
11
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jan 4 15:21:29 2021
@author: diego
"""
import subprocess
import os
import numpy as np
if __name__ == "__main__":
path_clusters = snakemake.input[0]
path_clusters = "/".join(path_clusters.split("/")[:-1]) + "/"
merge_vc... | normal | {
"blob_id": "f6d81387f61ac4150cd6279121780b7113517b1e",
"index": 2860,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n path_clusters = snakemake.input[0]\n path_clusters = '/'.join(path_clusters.split('/')[:-1]) + '/'\n merge_vcf = snakemake.output[0]\n ref_genome ... | [
0,
1,
2,
3
] |
# Author: Omkar Sunkersett
# Purpose: To fetch SPP data and update the database
# Summer Internship at Argonne National Laboratory
import csv, datetime, ftplib, MySQLdb, os, time
class SPP():
def __init__(self, server, path, start_dt, end_dt, prog_dir):
self.files_cached = []
try:
self.ftp_handle = ... | normal | {
"blob_id": "755eeaf86ebf2560e73869084030a3bfc89594f6",
"index": 2390,
"step-1": "# Author: Omkar Sunkersett\r\n# Purpose: To fetch SPP data and update the database\r\n# Summer Internship at Argonne National Laboratory\r\n\r\nimport csv, datetime, ftplib, MySQLdb, os, time\r\n\r\nclass SPP():\r\n\tdef __init__(s... | [
0
] |
from django.conf.urls import patterns, include, url
# Uncomment the next two lines to enable the admin:
from django.contrib import admin
admin.autodiscover()
from django.conf import settings
from django.conf.urls.static import static
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from dajaxice.co... | normal | {
"blob_id": "68a503b2a94304530e20d79baf9fb094024ba67e",
"index": 539,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nadmin.autodiscover()\n<mask token>\ndajaxice_autodiscover()\n<mask token>\nurlpatterns += staticfiles_urlpatterns()\nurlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_... | [
0,
1,
2,
3,
4
] |
# -*-coding:utf-8-*-
# Author: Scott Larter
import pygame
import pygame.draw
import numpy as np
from agent import *
from tools import *
SCREENSIZE = [1200, 400] # walls.csv
#SCREENSIZE = [1200, 650] # walls2.csv
RESOLUTION = 180
AGENTSNUM = 12
GROUPSNUM = 2
MAXGROUPSIZE = 6
MAXSUBGROUPSIZE = 3
BACKGROUNDCOLOR = [255... | normal | {
"blob_id": "00051a4087bfcf2e6826e9afa898830dc59aa5ab",
"index": 5451,
"step-1": "<mask token>\n",
"step-2": "<mask token>\npygame.init()\n<mask token>\npygame.display.set_caption('Social Force Model - Crosswalk')\n<mask token>\nfor line in open(WALLSFILE, newline='', encoding='utf-8-sig'):\n coords = line.... | [
0,
1,
2,
3,
4
] |
from selenium.webdriver import Chrome
path=("/Users/karimovrustam/PycharmProjects/01.23.2020_SeleniumAutomation/drivers/chromedriver")
driver=Chrome(executable_path=path)
driver.maximize_window()
driver.get("http://www.toolsqa.com/iframe-practice-page/")
# driver.switch_to.frame("iframe2") # When working with few wi... | normal | {
"blob_id": "53eb1dcd54ce43d9844c48eb1d79f122a87dca39",
"index": 3831,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndriver.maximize_window()\ndriver.get('http://www.toolsqa.com/iframe-practice-page/')\ndriver.switch_to.default_content()\ndriver.find_element_by_xpath(\"//span[text()='VIDEOS']\").click()... | [
0,
1,
2,
3,
4
] |
import os
import matplotlib.pyplot as plt
import cv2
import numpy as np
def divide_img(img_path, img_name, save_path):
imgg = img_path +'\\' +img_name
print(imgg)
img = cv2.imread(imgg)
print(img)
# img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
h = img.shape[0]
w = img.shape[1]
n = 8
... | normal | {
"blob_id": "03f3fcb38877570dea830a56460061bd3ccb8927",
"index": 8830,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef divide_img(img_path, img_name, save_path):\n imgg = img_path + '\\\\' + img_name\n print(imgg)\n img = cv2.imread(imgg)\n print(img)\n h = img.shape[0]\n w = img... | [
0,
1,
2,
3,
4
] |
import sys
from .csvtable import *
from .utils import *
from .reporter import Reporter
class ColumnKeyVerifier:
def __init__(self):
self.keys = {}
def prologue(self, table_name, header):
if 0 == len(header):
return False
# 키는 첫번째 컬럼에만 설정 가능하다.
return header[0].is_... | normal | {
"blob_id": "eca4abf706fd094a40fdfc8ea483d71b0a018ce9",
"index": 4378,
"step-1": "<mask token>\n\n\nclass ColumnKeyVerifier:\n <mask token>\n <mask token>\n\n def epilogue(self):\n pass\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass ColumnKeyVerifier:\n\n def __init__(self):\n ... | [
2,
4,
5,
6,
7
] |
# Generated by Django 3.1.7 on 2021-02-24 05:37
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('autotasks', '0017_auto_20210210_1512'),
]
operations = [
migrations.AddField(
model_name='automatedtask',
name='run_... | normal | {
"blob_id": "3ab1de77147f6abfabeea10f2a4e85686edffd6f",
"index": 2573,
"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 = [('autotasks',... | [
0,
1,
2,
3,
4
] |
# Jarvis interface class definition
import kernel.service
class interface(kernel.service.service):
def __init__(self, name):
self.name = name
| normal | {
"blob_id": "237f1f72ac3ef381f115a88025518f387825ff79",
"index": 9696,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass interface(kernel.service.service):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass interface(kernel.service.service):\n\n def __init__(self, name):\n self.n... | [
0,
1,
2,
3,
4
] |
from rest_framework.permissions import BasePermission, SAFE_METHODS
class IsOwnerOrStaffOrReadOnly(BasePermission):
def has_object_permission(self, request, view, obj):
"""
Переопределяем права доступа.
Даем все права на запись, только владельцу или
администратору, на чтение даем... | normal | {
"blob_id": "4488612164435ab062ca66000f0d7dc3ccd89da2",
"index": 8150,
"step-1": "<mask token>\n\n\nclass IsOwnerOrStaffOrReadOnly(BasePermission):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass IsOwnerOrStaffOrReadOnly(BasePermission):\n\n def has_object_permission(self, request... | [
1,
2,
3,
4
] |
# Copyright 2015 Google Inc. All Rights Reserved.
#
# 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 a... | normal | {
"blob_id": "b4ce95d754dd0d7c1b91fa0348de0194a4397aca",
"index": 6830,
"step-1": "<mask token>\n\n\nclass NodeLookup(object):\n \"\"\"Converts integer node ID's to human readable labels.\"\"\"\n\n def __init__(self, label_lookup_path=None, uid_lookup_path=None):\n if not label_lookup_path:\n ... | [
6,
7,
11,
13,
14
] |
"""IDQ Importer Exporter
This script defines Import and Export functions through which it can communicate with
a Informatica Model Repository.
It also provides some related functions, such as:
- Create IDQ folder
- Check in IDQ components
Parts by Laurens Verhoeven
Parts by Jac. Beekers
@Version: 20190... | normal | {
"blob_id": "09b14705a6905470058b5eecc6dd0bb214975c66",
"index": 6408,
"step-1": "<mask token>\n\n\ndef import_infadeveloper(**KeyWordArguments):\n \"\"\"Import IDQ Components\"\"\"\n KeyWordArguments['Tool'] = 'Import'\n ImportCommand = buildCommand.build(**KeyWordArguments)\n result = executeInfacm... | [
10,
11,
12,
13,
14
] |
# Generated by Django 2.2.1 on 2019-06-01 09:56
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Participant',
fields=[
('username', models.... | normal | {
"blob_id": "58b12418a2a6b1ef9b63800b89e7f0b9fffd908c",
"index": 9223,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n initial = T... | [
0,
1,
2,
3,
4
] |
import logging
import os.path
from day03.code.main import traverse_map, get_map_cell, traverse_map_multiple_slopes
logger = logging.getLogger(__name__)
local_path = os.path.abspath(os.path.dirname(__file__))
def test_get_map_cell():
map_template = """..##.......
#...#...#..
.#....#..#.
..#.#...#.#
.#...##..#.
.... | normal | {
"blob_id": "7599f13d1cabe73d876ff97722962f2fcf9a9940",
"index": 2269,
"step-1": "<mask token>\n\n\ndef test_sample_input():\n map_template = \"\"\"..##.......\n#...#...#..\n.#....#..#.\n..#.#...#.#\n.#...##..#.\n..#.##.....\n.#.#.#....#\n.#........#\n#.##...#...\n#...##....#\n.#..#...#.#\"\"\"\n logger.in... | [
5,
6,
7,
8,
9
] |
mapName =input('\nEnter map name(s) (omitting the mp_ prefix)\nSeparate map names with comma\n:').lower()
mapNameList =mapName.split(',')
def convertWPFile(mapName):
#Converts mapname_waypoints.gsc file (old style PEzBot format) to newer mapname.gsc file (new style Bot Warfare format)
fullMapName ='mp_'+m... | normal | {
"blob_id": "1aacd04234d60e495888fc44abe3fbacf404e0ce",
"index": 5799,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef convertWPFile(mapName):\n fullMapName = 'mp_' + mapName + '_waypoints.gsc'\n waypoints = open(fullMapName, 'r')\n wpLines = waypoints.readlines()\n waypoints.close()\n... | [
0,
1,
2,
3,
4
] |
t = int(input())
m = 0
while(m < t):
n = int(input())
arr = list(map(int, input().strip().split(" ")))
s = int(input())
hash_map = {}
curr_sum = 0
count = 0
for i in range(len(arr)):
curr_sum += arr[i]
if curr_sum == s:
count += 1
if curr_sum - s in hash_m... | normal | {
"blob_id": "3ac69068db94f45bc44a8295a10603126d004b34",
"index": 6219,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile m < t:\n n = int(input())\n arr = list(map(int, input().strip().split(' ')))\n s = int(input())\n hash_map = {}\n curr_sum = 0\n count = 0\n for i in range(len(... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
"""
Created on Thu Sep 3 18:45:08 2020
@author: Neeraj
"""
import cv2
import numpy as np
num_down=2
num_bilateral=50
img_rgb=cv2.imread("stunning-latest-pics-of-Kajal-Agarwal.jpg") #image path
img_rgb=cv2.resize(img_rgb,(800,800))
img_color=img_rgb
for _ in range(num_... | normal | {
"blob_id": "16db443642746af4ae45862627baaa9eca54a165",
"index": 3138,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor _ in range(num_down):\n img_color = cv2.pyrDown(img_color)\nfor _ in range(num_bilateral):\n img_color = cv2.bilateralFilter(img_color, d=9, sigmaColor=9, sigmaSpace=7)\nfor _ i... | [
0,
1,
2,
3,
4
] |
'''
Useful constants.
Inspired by pyatspi:
http://live.gnome.org/GAP/PythonATSPI
@author: Eitan Isaacson
@copyright: Copyright (c) 2008, Eitan Isaacson
@license: LGPL
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Library General Public
License as published by the ... | normal | {
"blob_id": "5ec2ac3e0d66026da1b0c957d10c95e95c201f8f",
"index": 9032,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor _sym, _val in locals().items():\n if _sym.startswith('EVENT_') or _sym.startswith('IA2_EVENT_'):\n winEventIDsToEventNames[_val] = _sym\n",
"step-3": "<mask token>\nCHILDI... | [
0,
1,
2,
3
] |
'''
Functional tests for the Write Stream
'''
from behave import given, when, then
from OSC import OSCClient, OSCMessage, OSCServer
@given('I want to send an integer')
def step_impl (context):
pass
@given('I want to send a float')
def step_impl (context):
pass
@given('I want to send two integers with one ... | normal | {
"blob_id": "3770e59c5bd6837a0fb812f80c6549024e06a9e4",
"index": 5957,
"step-1": "<mask token>\n\n\n@given('I want to send an integer')\ndef step_impl(context):\n pass\n\n\n<mask token>\n\n\n@given('I want to send two integers with one channel')\ndef step_impl(context):\n pass\n\n\n@given('I want to send t... | [
8,
10,
12,
13,
15
] |
from django.urls import path, include
from .views import StatusAPIView, StateAPIView, LogAPIView
urlpatterns = [
path('status/', StatusAPIView.as_view(), name='status'),
path('log/', LogAPIView.as_view(), name='log'),
path('state/', StateAPIView.as_view(), name='state'),
]
| normal | {
"blob_id": "1ae8d78c6581d35cd82194e2565e7a11edda1487",
"index": 7265,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [path('status/', StatusAPIView.as_view(), name='status'),\n path('log/', LogAPIView.as_view(), name='log'), path('state/',\n StateAPIView.as_view(), name='state')]\n",... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 11 07:41:34 2017
@author: Gabriel
"""
months = 12
balance = 4773
annualInterestRate = 0.2
monthlyPaymentRate = 434.9
monthlyInterestRate = annualInterestRate / 12
while months > 0:
minimumMonPayment = monthlyPaymentRate * balance
monthlyUnpaidBa... | normal | {
"blob_id": "299b437c007d78c3d9a53205de96f04d2c6118e0",
"index": 7662,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile months > 0:\n minimumMonPayment = monthlyPaymentRate * balance\n monthlyUnpaidBalan = balance - monthlyPaymentRate\n balance = monthlyUnpaidBalan + monthlyInterestRate * mo... | [
0,
1,
2,
3
] |
from datetime import datetime
start = datetime.now()
# Poker Hand Analyser Library for Project Euler: Problem 54
from collections import namedtuple
# import pe_lib
def character_frequency(s):
freq = {}
for i in s:
if i in freq:
freq[i] += 1
else:
freq[i] = 1
return freq
suits = "HDCS".split()
faces = "2... | normal | {
"blob_id": "561763d4d7b613446f2890ef629b631542f2f472",
"index": 2776,
"step-1": "<mask token>\n\n\nclass Card(namedtuple('Card', 'face, suit')):\n\n def __repr__(self):\n return ''.join(self)\n\n\ndef royal_flush(hand):\n royalface = 'TJQKA'\n ordered = sorted(hand, key=lambda card: (faces.index... | [
7,
8,
10,
17,
19
] |
# # 8/19/2020
# Of course, binary classification is just a single special case. Target encoding could be applied to any target variable type:
# For binary classification usually mean target encoding is used
# For regression mean could be changed to median, quartiles, etc.
# For multi-class classification with N classe... | normal | {
"blob_id": "5433e75bdc46d5a975969e7ece799174dc9b8713",
"index": 2918,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(test[['RoofStyle', 'RoofStyle_enc']].drop_duplicates())\n",
"step-3": "train['RoofStyle_enc'], test['RoofStyle_enc'] = mean_target_encoding(train=\n train, test=test, target='S... | [
0,
1,
2,
3
] |
# Generated by Django 3.0.3 on 2020-05-30 05:32
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('people', '0110_auto_20200530_0631'),
]
operations = [
migrations.AlterField(
model_name='site',
name='password_reset... | normal | {
"blob_id": "795f936423965063c44b347705c53fd1c306692f",
"index": 4927,
"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 = [('people', '0... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/python
import socket
import threading
import signal
import sys
class Proxy:
#initialise server socket
def __init__(self):
self.serverSocket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.serverSocket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1... | normal | {
"blob_id": "2dcf0466c84c952c60dcfce86498f063f43726f3",
"index": 2298,
"step-1": "#!/usr/bin/python\n\nimport socket\nimport threading\nimport signal\nimport sys\n \nclass Proxy:\n #initialise server socket\n def __init__(self): \n self.serverSocket = socket.socket(socket.AF_INET, socket.SOCK... | [
0
] |
from .queue_worker import QueueWorker
import threading
class WorkersOrchestrator:
@classmethod
def worker_func(cls, worker):
worker.start_consumption()
def run_orchestrator(self, num_of_workers):
worker_list = []
for i in range(num_of_workers):
worker_list.append(Queu... | normal | {
"blob_id": "6a4a5eac1b736ee4f8587adba298571f90df1cf9",
"index": 8864,
"step-1": "<mask token>\n\n\nclass WorkersOrchestrator:\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass WorkersOrchestrator:\n\n @classmethod\n def worker_func(cls, worker):\n worker.start_consumption... | [
1,
2,
3,
4
] |
import copy
import os
from datetime import datetime
import numpy as np
from sklearn.neighbors import NearestNeighbors
from sklearn.preprocessing import normalize
ROOT_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), '../')
DATA_FILE = os.path.join(ROOT_DIR, 'data/data_train.csv')
TRAINING_FILE_NAME = os.... | normal | {
"blob_id": "af1eab58fd641b14ac054fa26e28d52c9741fb16",
"index": 7675,
"step-1": "<mask token>\n\n\ndef ratings_to_matrix(ratings):\n matrix_rows = USER_COUNT\n matrix_cols = ITEM_COUNT\n matrix = np.zeros([matrix_rows, matrix_cols])\n for row, col, rating in ratings:\n matrix[row, col] = rati... | [
16,
19,
21,
22,
24
] |
import numpy as np
class Element(object):
def __init__(self):
self.ndof = 0
self.nn = 0
self.ng = 0
self.element_type = 0
self.coord_position = np.array([])
self.setup()
def setup(self):
pass
def shape_function_value(self):
pass
def s... | normal | {
"blob_id": "ed2ae166c4881289b27b7e74e212ba2d6164998b",
"index": 2981,
"step-1": "<mask token>\n\n\nclass Element(object):\n\n def __init__(self):\n self.ndof = 0\n self.nn = 0\n self.ng = 0\n self.element_type = 0\n self.coord_position = np.array([])\n self.setup()\n... | [
3,
4,
5,
6
] |
from discord import Message, ChannelType
from discord.ext.commands import Bot, Cog, command, Context
from ccbot import repo
from shared import fetch_tools
import os
class Submissions(Cog):
def __init__(self, bot: Bot) -> None:
self.bot = bot
@command()
async def current(self, ctx: Context) -> None... | normal | {
"blob_id": "82bfdb46e1da96e5db91d66c3a060d8bf7747d07",
"index": 2214,
"step-1": "<mask token>\n\n\nclass Submissions(Cog):\n <mask token>\n\n @command()\n async def current(self, ctx: Context) ->None:\n await ctx.trigger_typing()\n repo.init()\n drafts = repo.drafts()\n if n... | [
1,
2,
3,
4,
5
] |
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
] |
#давайте напишем программу русской рулетки
import random
amount_of_bullets = int(input("Сколько вы хотите вставить патронов?"))
baraban = [0, 0, 0, 0, 0, 0]
# 0 -аналогия пустого гнезда
# 1 - аналогия гнезда с патроном
for i in range(amount_of_bullets):
print(i)
baraban[i] = 1
print("Посмотрите на барабан"... | normal | {
"blob_id": "6c0080aa62579b4cbdaf3a55102924bfe31ffb40",
"index": 8107,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(amount_of_bullets):\n print(i)\n baraban[i] = 1\nprint('Посмотрите на барабан', baraban)\n<mask token>\nfor i in range(how_much):\n random.shuffle(baraban)\n if... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
# @Time : 2021/5/12 2:48 下午
# @Author : shaoguowen
# @Email : shaoguowen@tencent.com
# @FileName: train.py
# @Software: PyCharm
import argparse
from mmcv import Config
import trainers
# 解析传入的参数
parser = argparse.ArgumentParser(description='Train IVQA model')
parser.add_argument('config',... | normal | {
"blob_id": "46e2955756cf1aea902f31685b258ffd14b2e62b",
"index": 5291,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nparser.add_argument('config', help='train config file path')\n<mask token>\nif __name__ == '__main__':\n trainer = getattr(trainers, config.trainer.trainer_name)(config, args.\n ... | [
0,
1,
2,
3,
4
] |
# All Rights Reserved.
#
#
# 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 ... | normal | {
"blob_id": "5e2fcc6379a8ecee0378d26108e4deab9d17dba6",
"index": 7483,
"step-1": "<mask token>\n\n\nclass NSDescriptorsViewSet(viewsets.ModelViewSet):\n <mask token>\n <mask token>\n <mask token>\n\n def get_success_headers(self, data):\n return {'Location': data['_links']['self']}\n\n def ... | [
6,
7,
8,
9,
10
] |
class car:
def info(self):
print(self.speed, self.color, self.model)
def increment(self):
print('increment')
def decrement(self):
print('decrement')
BMW = car()
BMW.speed = 320
BMW.color = 'red'
BMW.model = 1982
BMW.info()
Camry = car()
Camry.speed = 220
Camry.color = 'blue'
| normal | {
"blob_id": "022f588455d8624d0b0107180417f65816254cb1",
"index": 8687,
"step-1": "class car:\n\n def info(self):\n print(self.speed, self.color, self.model)\n\n def increment(self):\n print('increment')\n <mask token>\n\n\n<mask token>\n",
"step-2": "class car:\n\n def info(self):\n ... | [
3,
4,
5,
6
] |
from django.db import models
from albums.models import Albums
class Song(models.Model):
name = models.CharField(max_length=255)
filename = models.FileField(upload_to='canciones/')
album = models.ForeignKey(Albums)
def __unicode__(self,):
return self.name
| normal | {
"blob_id": "8ec18e259af1123fad7563aee3a363e095e30e8e",
"index": 1064,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Song(models.Model):\n <mask token>\n <mask token>\n <mask token>\n\n def __unicode__(self):\n return self.name\n",
"step-3": "<mask token>\n\n\nclass Song(m... | [
0,
2,
3,
4,
5
] |
from __future__ import annotations
from collections import Counter
from distribution import Distribution, Normal
class GoodKind:
"""
The definition of a kind of good. "Vegtable" is a kind of good, as is
"Iron Ore", "Rocket Fuel", and "Electic Motor"
"""
def __init__(self, name: str):
as... | normal | {
"blob_id": "286801b69546046853d123c5708f24eaaa2e8cec",
"index": 6044,
"step-1": "<mask token>\n\n\nclass Recipe:\n <mask token>\n\n def __init__(self, labor_amount: float, required_goods: BagOfGoods,\n planet_variation: Distribution, person_variation: Distribution,\n labor_variation: Distrib... | [
6,
9,
17,
23,
26
] |
import sys
import os
import cv2
def write_video(fps, input_folder="output",video_name="video.mp4"):
fourcc = cv2.VideoWriter_fourcc("m","p","4","v")
video = cv2.VideoWriter(video_name, fourcc, fps, (1280,720))
path = os.getcwd()
files = os.listdir(path+"/"+input_folder)
count = len(files) ... | normal | {
"blob_id": "ca0c38cf2a55b2311a254b09cb693516c3d0ab10",
"index": 1763,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef write_video(fps, input_folder='output', video_name='video.mp4'):\n fourcc = cv2.VideoWriter_fourcc('m', 'p', '4', 'v')\n video = cv2.VideoWriter(video_name, fourcc, fps, (12... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python
from google.appengine.ext.webapp import template
from google.appengine.ext import ndb
import logging
import os.path
import webapp2
import json
from webapp2_extras import auth
from webapp2_extras import sessions
from webapp2_extras.auth import InvalidAuthIdError
from webapp2_extras.auth import ... | normal | {
"blob_id": "fe7fb9a4a5ca2bb8dab0acf440eb2fac127264ce",
"index": 2631,
"step-1": "<mask token>\n\n\nclass BaseHandler(webapp2.RequestHandler):\n\n @webapp2.cached_property\n def auth(self):\n \"\"\"Shortcut to access the auth instance as a property.\"\"\"\n return auth.get_auth()\n <mask t... | [
40,
42,
48,
49,
51
] |
from __future__ import division
rates = { "GBP-EUR":1.10, "EUR-USD":1.11, "GBP-USD":1.22, "GBP-YEN": 129.36 }
def find(rates, fx):
try:
return rates[fx]
except:
return -1
def getInputs():
amount = raw_input("Enter amount: ")
firstCurrency = raw_input("Enter Currency To Convert From: ")
secCurrency = raw_in... | normal | {
"blob_id": "c664257d64b269002964ce95c05f132e563a65d4",
"index": 8736,
"step-1": "from __future__ import division\n\nrates = { \"GBP-EUR\":1.10, \"EUR-USD\":1.11, \"GBP-USD\":1.22, \"GBP-YEN\": 129.36 }\n\ndef find(rates, fx):\n\ttry:\n\t\treturn rates[fx]\n\texcept:\n\t\treturn -1\n\n\ndef getInputs():\n\tamoun... | [
0
] |
import Individual
import Grupal
import matplotlib.pyplot as plt
import pandas as pd
plt.show()
| normal | {
"blob_id": "bb1caf4d04c8a42279afa0ac586ced991e0dff84",
"index": 4574,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nplt.show()\n",
"step-3": "import Individual\nimport Grupal\nimport matplotlib.pyplot as plt\nimport pandas as pd\nplt.show()\n",
"step-4": null,
"step-5": null,
"step-ids": [
... | [
0,
1,
2
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import random
"""
检查图数据和结构或者链表数据结构中是否存在环
https://www.youtube.com/watch?v=YKE4Vd1ysPI
"""
def get_all_edge(graph):
result = []
for k, v in graph.items():
for i in v:
if sorted((k, i)) not in result:
result.append(sorted((k, ... | normal | {
"blob_id": "371762a6e3f8b8ed14742a70a709da224ae6712b",
"index": 305,
"step-1": "<mask token>\n\n\ndef bfs(graph, start):\n result = []\n queue = []\n seen = set()\n queue.append(start)\n seen.add(start)\n while len(queue):\n vertex = queue.pop(0)\n nodes = graph[vertex]\n ... | [
1,
2,
3,
4,
5
] |
class HashTable:
def __init__(self):
self.dados = []
def hash(self, chave):
return int(chave)
def __put(self, int, chave, valor):
self.dados.append({chave: valor})
"""
backup = dados
dados = novo_array(t * 2)
for elemento in backup:
hash = hash(elemento.chave)
__put(... | normal | {
"blob_id": "f14d46bedd5f6e0081a982251ad45e95860ef310",
"index": 209,
"step-1": "class HashTable:\n <mask token>\n <mask token>\n <mask token>\n\n\n<mask token>\n",
"step-2": "class HashTable:\n <mask token>\n\n def hash(self, chave):\n return int(chave)\n <mask token>\n\n\n<mask token... | [
1,
2,
3,
4,
5
] |
# bot.py
import os
import sqlite3
import json
import datetime
from dotenv import load_dotenv
import discord
from discord.ext import commands
from discord.ext.commands import Bot
from cogs.utils import helper as h
intents = discord.Intents.default()
intents.members = True
load_dotenv()
TOKEN = os.getenv('DISCORD_T... | normal | {
"blob_id": "849343561dd9bdcfc1da66c604e1bfa4aa10ddf3",
"index": 5359,
"step-1": "<mask token>\n\n\nclass LLKEventsBot(Bot):\n <mask token>\n\n async def on_ready(self):\n if not os.path.exists('db'):\n os.makedirs('db')\n if not os.path.exists('logs'):\n os.makedirs('lo... | [
1,
2,
4,
5,
6
] |
class Solution:
def jump(self, nums: List[int]) -> int:
if len(nums) < 2: return 0
jump = 1
curr_max = max_reach = nums[0]
for i ... | normal | {
"blob_id": "7f2ffa653486d000c9eee0087fc1e6ca0c84003c",
"index": 5671,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n",
"step-3": "class Solution:\n\n def jump(self, nums: List[int]) ->int:\n if len(nums) < 2:\n return 0\n jump = 1\n curr_max = m... | [
0,
1,
2,
3
] |
'''
selection review
very similar to quicksort in terms of set up.
no need to sort to find kth element in a list
but instead can be done in o(n)
quick sort can be o(nlogn) if we choose median
instead of pivot
tips:
raise value error for bad index not in between 0 <= k < n
basecase of n <=1 --> return arr[0]
use L, E, ... | normal | {
"blob_id": "69d3a39dc024929eaf6fb77e38a7a818d2886cf7",
"index": 8512,
"step-1": "<mask token>\n\n\ndef select(arr, k):\n n = len(arr)\n if not 0 <= k < n:\n raise ValueError('not valid index in array')\n if n <= 1:\n return arr[0]\n pivot = random.choice(arr)\n L, E, G = [], [], []\... | [
1,
2,
3,
4,
5
] |
# 30 - Faça um programa que receba três números e mostre - os em ordem crescentes.
n1 = int(input("Digite o primeiro número: "))
n2 = int(input("Digite o segundo número: "))
n3 = int(input("Digite o terceiro número: "))
if n1 <= n2 and n2 <= n3:
print(f'A ordem crescente é {n1}, {n2}, {n3}')
elif n1 <= n3 and n3 ... | normal | {
"blob_id": "09712a397ad7915d9865b4aebf16606f85988f67",
"index": 2737,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif n1 <= n2 and n2 <= n3:\n print(f'A ordem crescente é {n1}, {n2}, {n3}')\nelif n1 <= n3 and n3 <= n2:\n print(f'A ordem crescente é {n1}, {n3}, {n2}')\nelif n2 <= n1 and n1 <= n3:... | [
0,
1,
2,
3
] |
#!/usr/bin/env python3
# crits_ldap.py
# This connects to an LDAP server and pulls data about all users.
# Then, it either updates existing targets in CRITS or creates a new entry.
import json
import sys
import datetime
import logging
import logging.config
from configparser import ConfigParser
from ldap3 import Serve... | normal | {
"blob_id": "5d568c5ac9040ad93749c27bd6fe1a956e7456f7",
"index": 9016,
"step-1": "#!/usr/bin/env python3\n# crits_ldap.py\n# This connects to an LDAP server and pulls data about all users.\n# Then, it either updates existing targets in CRITS or creates a new entry.\n\nimport json\nimport sys\nimport datetime\nim... | [
0
] |
"""
Given an array nums and a value val, remove all instances of
that value in-place and return the new length.
Do not allocate extra space for another array, you must do
this by modifying the input array in-place with O(1) extra memory.
The order of elements can be changed. It doesn't matter
... | normal | {
"blob_id": "8be4bf5c1a5a7b841edc915793571686ee0bffe6",
"index": 113,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n <mask token>\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\nclass Solution:\n\n def remove_element(self, nums: list[int], val: int) ->int:\n last_p... | [
0,
1,
2,
3
] |
import time #melakukan import library time
import zmq #melakukan import library ZeroMQ
context = zmq.Context() #melakukan inisialisasi context ZeroMQ pada variable context
socket = context.socket(zmq.REP) #menginisialisasikan socket(Reply) pada variable context(ZeroMQ)
socket.bind("tcp://10.20.32.221:5555") #melakuka... | normal | {
"blob_id": "ccba923fa4b07ca9c87c57797e1e6c7da3a71183",
"index": 4315,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsocket.bind('tcp://10.20.32.221:5555')\nwhile True:\n message = socket.recv()\n print('Received request: %s' % message)\n time.sleep(1)\n socket.send(b'World')\n",
"step-3":... | [
0,
1,
2,
3,
4
] |
from django.db import models
class Subscribe(models.Model):
mail_subscribe = models.EmailField('Пошта', max_length=40)
def __str__(self):
return self.mail_subscribe
class Meta:
verbose_name = 'підписку'
verbose_name_plural = 'Підписки'
| normal | {
"blob_id": "3c22b187f8538e16c0105706e6aac2875ea3a25c",
"index": 6162,
"step-1": "<mask token>\n\n\nclass Subscribe(models.Model):\n <mask token>\n <mask token>\n\n\n class Meta:\n verbose_name = 'підписку'\n verbose_name_plural = 'Підписки'\n",
"step-2": "<mask token>\n\n\nclass Subscri... | [
1,
2,
3,
4
] |
from opengever.propertysheets.assignment import get_document_assignment_slots
from opengever.propertysheets.assignment import get_dossier_assignment_slots
from opengever.propertysheets.storage import PropertySheetSchemaStorage
from plone.restapi.services import Service
LISTING_TO_SLOTS = {
u'dossiers': get_dossie... | normal | {
"blob_id": "ab352c9431fda19bc21a9f7ffa075303641cca45",
"index": 155,
"step-1": "<mask token>\n\n\nclass ListingCustomFieldsGet(Service):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass ListingCustomFieldsGet(Service):\n <mask token>\n\n def reply(self):\n solr_fields = ... | [
1,
2,
3,
5,
6
] |
#!/usr/bin/env python
import vtk
from vtk.util.misc import vtkGetDataRoot
VTK_DATA_ROOT = vtkGetDataRoot()
# Create the RenderWindow, Renderer and both Actors
#
ren1 = vtk.vtkRenderer()
ren2 = vtk.vtkRenderer()
renWin = vtk.vtkRenderWindow()
renWin.SetMultiSamples(0)
renWin.AddRenderer(ren1)
renWin.AddRenderer(ren2)
i... | normal | {
"blob_id": "7399612f64eb8e500bc676e6d507be5fe375f40f",
"index": 3746,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nrenWin.SetMultiSamples(0)\nrenWin.AddRenderer(ren1)\nrenWin.AddRenderer(ren2)\n<mask token>\niren.SetRenderWindow(renWin)\n<mask token>\npl3d.SetXYZFileName('' + str(VTK_DATA_ROOT) + '/Da... | [
0,
1,
2,
3,
4
] |
import IDS
# In[7]:
# testfile = 'data/good_fromE2.txt'
# testfile = 'data/goodqueries.txt'
good_testfile = "data/good_fromE2.txt"
bad_testfile = "data/badqueries.txt"
# a = IDS.LG()
a = IDS.SVM()
# preicdtlist = ['www.foo.com/id=1<script>alert(1)</script>','www.foo.com/name=admin\' or 1=1','abc.com/admin.php','"><s... | normal | {
"blob_id": "e627bcc6c9a49d46190cc793a77103aa0a760989",
"index": 1709,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open(good_testfile, 'r') as f:\n print('预测数据集： ' + good_testfile)\n preicdtlist = [i.strip('\\n') for i in f.readlines()[:]]\n result = a.predict(preicdtlist)\n print('恶意... | [
0,
1,
2,
3,
4
] |
import logging
from queue import Queue
import concurrent.futures
"""
Post processing decorater logic for FtpDownloader
"""
class FtpDownloaderPostProcess:
def __init__(self, ftp_downloader, post_processor, num_workers=None, config_dict=None):
self.post_processor = post_processor
self.ftp_downlo... | normal | {
"blob_id": "56a41f432d332aaebbde15c52e133eee51b22ce1",
"index": 2833,
"step-1": "<mask token>\n\n\nclass FtpDownloaderPostProcess:\n <mask token>\n <mask token>\n\n @property\n def logger(self):\n return logging.getLogger(__name__)\n\n def iterate(self, *args, **kwargs):\n \"\"\"\nU... | [
4,
6,
7,
8,
9
] |
import numpy as np
def SO3_to_R3(x_skew):
x = np.zeros((3, 1))
x[0, 0] = -1 * x_skew[1, 2]
x[1, 0] = x_skew[0, 2]
x[2, 0] = -1 * x_skew[0, 1]
return x
| normal | {
"blob_id": "97bff6eb0cd16c915180cb634e6bf30e17adfdef",
"index": 2080,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef SO3_to_R3(x_skew):\n x = np.zeros((3, 1))\n x[0, 0] = -1 * x_skew[1, 2]\n x[1, 0] = x_skew[0, 2]\n x[2, 0] = -1 * x_skew[0, 1]\n return x\n",
"step-3": "import nu... | [
0,
1,
2
] |
#!/usr/bin/python3
''' FileStorage module '''
import json
from models.base_model import BaseModel
import models
from models.user import User
from models.place import Place
from models.state import State
from models.city import City
from models.amenity import Amenity
from models.review import Review
class FileStorage:... | normal | {
"blob_id": "5461d50d3c06bc4276044cc77bd804f6e7c16b3b",
"index": 1278,
"step-1": "<mask token>\n\n\nclass FileStorage:\n <mask token>\n <mask token>\n <mask token>\n\n def all(self):\n \"\"\"\n Return:\n the dictionary __objects\n \"\"\"\n return self.__objects\n ... | [
3,
5,
7,
8,
9
] |
import csv
import tweepy
import pandas as pd
####input your credentials here
from tweepy.auth import OAuthHandler
auth = OAuthHandler('WNUpykrIjiGF0NKoV7qk7uiNj', 'Nhe0GjOkbaQKbPMLTqcAYQnqMnz3Edpdup28h2R2KqRLa6iBDN')
auth.set_access_token('956917059287375875-EThit80MxgQPTJlh7ZObqyHsoV8Q2D7', 'eLv893meGppqfX3xOr8SJ93kps... | normal | {
"blob_id": "b68cc09347584dfc613b2e38d036b124c9af7952",
"index": 1904,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nauth.set_access_token('956917059287375875-EThit80MxgQPTJlh7ZObqyHsoV8Q2D7',\n 'eLv893meGppqfX3xOr8SJ93kpsbZpoOiRsVM3XTgJryZM')\n<mask token>\nauth.set_access_token('956917059287375875-... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python
"""
A package that determines the current day of the week.
"""
from datetime import date
import calendar
# Set the first day of the week as Sunday.
calendar.firstday(calendar.SUNDAY)
def day_of_the_week(arg):
"""
Returns the current day of the week.
"""
if arg == "day":
... | normal | {
"blob_id": "7e23f5598ccfe9aff74d43eb662f860b0404b7ec",
"index": 8333,
"step-1": "#!/usr/bin/env python\n\n\"\"\"\nA package that determines the current day of the week.\n\"\"\"\n\nfrom datetime import date \nimport calendar\n\n# Set the first day of the week as Sunday.\n\ncalendar.firstday(calendar.SUNDAY)\n\nd... | [
0
] |
"Base document saver context classes."
import copy
import os.path
import sys
import flask
from . import constants
from . import utils
class BaseSaver:
"Base document saver context."
DOCTYPE = None
EXCLUDE_PATHS = [["_id"], ["_rev"], ["doctype"], ["modified"]]
HIDDEN_VALUE_PATHS = []
def __ini... | normal | {
"blob_id": "83fe635e35711c2c41d043a59d00a50cc87e69fa",
"index": 7696,
"step-1": "<mask token>\n\n\nclass BaseSaver:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token... | [
8,
15,
21,
22,
24
] |
"""
Design and implement a TwoSum class. It should support the following operations: add and find.
add - Add the number to an internal data structure.
find - Find if there exists any pair of numbers which sum is equal to the value.
Example 1:
add(1); add(3); add(5);
find(4) -> true
find(7) -> false
Example 2:
add(3);... | normal | {
"blob_id": "025c740813f7eea37abadaa14ffe0d8c1bedc79d",
"index": 6275,
"step-1": "<mask token>\n\n\nclass TwoSum:\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass TwoSum:\n\n def __init__(self):\n \"\"\"\n Initialize your data structure here.\n ... | [
1,
2,
3,
4,
5
] |
"""Identifying Antecedent Pronoun"""
from question import Question,Packet
qdict={
"correct pronoun-antecedent agreement":[
"<u>He</u> came home to <u>his</u> own car.",
"<u>He</u> found <u>his</u> sneakers in the garage.",
"<u>Harry</u> gave <u>himself</u> a baseball for Christmas.",
"<u>Jill</u> found <u>her</u> miss... | normal | {
"blob_id": "94b1e0280eff165f63e117969d5e1bf9d1e35193",
"index": 1598,
"step-1": "\"\"\"Identifying Antecedent Pronoun\"\"\"\nfrom question import Question,Packet\n\nqdict={\n\"correct pronoun-antecedent agreement\":[\n\"<u>He</u> came home to <u>his</u> own car.\",\n\"<u>He</u> found <u>his</u> sneakers in the ... | [
0
] |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.1 on 2016-01-03 19:28
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('mybus', '0007_auto_20160104_0053'),
]
operations = [
migrations.RemoveField(... | normal | {
"blob_id": "1dec7a997b0bef3226fb17e4039b053c7a2e457e",
"index": 9045,
"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 = [('mybus', '00... | [
0,
1,
2,
3,
4
] |
import webapp2
class RedirectToSiteRootHandler(webapp2.RequestHandler):
def get(self):
self.response.set_status(301)
self.response.headers['Location'] = '/'
class AppendTrailingSlashHandler(webapp2.RequestHandler):
def get(self, uri):
self.response.set_status(301)
redirect_uri = uri + ... | normal | {
"blob_id": "064792a6aba96a679bec606a85b19d4925861f7d",
"index": 2493,
"step-1": "<mask token>\n\n\nclass AppendTrailingSlashHandler(webapp2.RequestHandler):\n\n def get(self, uri):\n self.response.set_status(301)\n redirect_uri = uri + '/'\n self.response.headers['Location'] = redirect_u... | [
2,
3,
4,
6,
7
] |
#Exercise 2 - Write a Python class which has two methods get_String and print_String. get_String accept a string
#from the user and print_String print the string in upper case
#string will be an input to a get_string method and whatever you put in will print when you make the print screen method
class IOString():
... | normal | {
"blob_id": "cf2973b94f1113013fe9baa946202ec75488f7d2",
"index": 9697,
"step-1": "class IOString:\n <mask token>\n\n def get_String(self):\n self.str1 = input()\n <mask token>\n\n\n<mask token>\n",
"step-2": "class IOString:\n <mask token>\n\n def get_String(self):\n self.str1 = in... | [
2,
3,
4,
5,
7
] |
from django.apps import AppConfig
class BooksaleConfig(AppConfig):
name = 'booksale'
| normal | {
"blob_id": "e642054dad8a2de5b01f2994348e10e9c7574ee0",
"index": 4581,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass BooksaleConfig(AppConfig):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass BooksaleConfig(AppConfig):\n name = 'booksale'\n",
"step-4": "from django.apps import ... | [
0,
1,
2,
3
] |
'''
Create a dictionary of fasttext embedding, stored locally
fasttext import. This will hopefully make it easier to load
and train data.
This will also be used to store the
Steps to clean scripts (codify):
1) copy direct from website (space-delimited text)
2) remove actions in ... | normal | {
"blob_id": "9a6ceeb286bb6c3d5923fe3b53be90a097e16ef5",
"index": 1078,
"step-1": "<mask token>\n\n\ndef convert_lines_to_arrays(content):\n \"\"\"\n convert each line in scene to an array of text\n formating when not relevant\n \"\"\"\n lines = []\n for x in content:\n line = x.s... | [
12,
13,
15,
16,
17
] |
#!/usr/bin/env python3
"""Transfer learning with xception"""
import tensorflow.keras as K
from GPyOpt.methods import BayesianOptimization
import pickle
import os
import numpy as np
class my_model():
"""A model bassed on xception"""
def make_model(self, param):
"""makes the model"""
self.lr = ... | normal | {
"blob_id": "d015a1b27a3a9e7f5e6614da752137064000b905",
"index": 239,
"step-1": "<mask token>\n\n\nclass my_model:\n <mask token>\n\n def make_model(self, param):\n \"\"\"makes the model\"\"\"\n self.lr = param[0][0]\n dr = param[0][1]\n layer_units0 = param[0][2]\n layer... | [
3,
4,
5,
6,
7
] |
# =======
# Imports
# =======
import os
import sympy
import numpy
from distutils.spawn import find_executable
import matplotlib
import matplotlib.pyplot as plt
from .Declarations import n,t
# =============
# Plot Settings
# =============
def PlotSettings():
"""
General settings for the plot.
"""
# C... | normal | {
"blob_id": "81da2aab9ca11e63dafdd4eefc340d37b326fc6f",
"index": 1846,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef PlotFunctions(phi_orthonormalized_list, StartFunctionIndex, Interval):\n PlotSettings()\n t_array = numpy.logspace(-7, numpy.log10(Interval[1]), 1000)\n NumFunctions = le... | [
0,
1,
2,
3,
4
] |
from .line_detection_research import score_pixel_v3p2
| normal | {
"blob_id": "305554fc86ddc116677b6d95db7d94d9f2213c41",
"index": 5088,
"step-1": "<mask token>\n",
"step-2": "from .line_detection_research import score_pixel_v3p2\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
import datetime
interval_length_minutes = 10 # 10 minutes per interval
tek_rolling_period = 144 # 24*60//10 - 24 hours per day, 60 minutes per hour, 10 minutes per interval
def get_timestamp_from_interval(interval_number):
return interval_number * interval_length_minutes * 60 # 60 seconds per minute
def get... | normal | {
"blob_id": "f3bfa30f51c4a91844457c72fbf2b2b8368d8476",
"index": 1874,
"step-1": "<mask token>\n\n\ndef get_timestamp_from_interval(interval_number):\n return interval_number * interval_length_minutes * 60\n\n\ndef get_datetime_from_utc_timestamp(utc_timestamp):\n return datetime.datetime.utcfromtimestamp(... | [
2,
3,
4,
5,
7
] |
import os
import numpy as np
from argparse import ArgumentParser
from tqdm import tqdm
from models.networks import Perceptron
from data.perceptron_dataset import Dataset, batchify
from utils.utils import L1Loss, plot_line
from modules.perceptron_trainer import Trainer
if __name__ == '__main__':
parser = Argumen... | normal | {
"blob_id": "726aaa0ef129f950e6da6701bb20e893d2f7373b",
"index": 3823,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n parser = ArgumentParser()\n parser.add_argument('--name', type=str, default='test')\n parser.add_argument('--input_dim', type=int, default=2)\n pa... | [
0,
1,
2,
3
] |
'''
Bayesian models for TWAS.
Author: Kunal Bhutani <kunalbhutani@gmail.com>
'''
from scipy.stats import norm
import pymc3 as pm
import numpy as np
from theano import shared
from scipy.stats.distributions import pareto
from scipy import optimize
import theano.tensor as t
def tinvlogit(x):
return t.exp(x) / (1 +... | normal | {
"blob_id": "057140ef1b8db340656b75b3a06cea481e3f20af",
"index": 1689,
"step-1": "<mask token>\n\n\nclass TwoStage(BayesianModel):\n <mask token>\n <mask token>\n <mask token>\n\n\nclass TwoStageBF(BayesianModel):\n \"\"\"\n Two Stage Inference.\n\n First stage: Bootstrapped ElasticNet\n Sec... | [
28,
29,
46,
49,
55
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jan 10 11:08:59 2020
@author: rishi
"""
# --------- Global Variables -----------
# Will hold our game board data
board = ["-" for i in range(1,26)]
# Lets us know if the game is over yet
game_still_going = True
# Tells us who the winner is
winner = ... | normal | {
"blob_id": "605e088beed05c91b184e26c4a5d2a97cb793759",
"index": 2909,
"step-1": "<mask token>\n\n\ndef display_board():\n print('\\n')\n print(board[0] + ' | ' + board[1] + ' | ' + board[2] + ' | ' + board[3] +\n ' | ' + board[4] + ' 1 | 2 | 3 | 4 | 5')\n print(board[5] + ' | ' + board[6] + ... | [
7,
9,
11,
12,
13
] |
from random import choice, random
from tabulate import tabulate
from Constants import *
from time import sleep
import numpy as np
import os
class QLearn():
def __init__(self, alfa, gama, epsilon, epsilonDecay, epsilonMin, rewards, environment):
self.alfa = alfa
self.gama = gama
self.epsilon... | normal | {
"blob_id": "221b6ad6035276fb59addc4065c4ccee3f5a2d84",
"index": 6351,
"step-1": "<mask token>\n\n\nclass QLearn:\n <mask token>\n <mask token>\n\n def checkBoundaries(self, state, action):\n row, column = int(state[0]), int(state[1])\n if action == Directions.UP:\n return f'{ma... | [
5,
7,
9,
10,
12
] |
def four_Ow_four(error):
'''
method to render the 404 error page
'''
return render_template('fourOwfour.html'),404 | normal | {
"blob_id": "851cfd4e71ffd2d5fed33616abca4444474669a3",
"index": 4508,
"step-1": "<mask token>\n",
"step-2": "def four_Ow_four(error):\n \"\"\"\n method to render the 404 error page\n \"\"\"\n return render_template('fourOwfour.html'), 404\n",
"step-3": "def four_Ow_four(error):\n '''\n met... | [
0,
1,
2
] |
from os import environ as env
import json
import utils
import utils.aws as aws
import utils.handlers as handlers
def put_record_to_logstream(event: utils.LambdaEvent) -> str:
"""Put a record of source Lambda execution in LogWatch Logs."""
log_group_name = env["REPORT_LOG_GROUP_NAME"]
utils.Log.info("Fet... | normal | {
"blob_id": "01d545e77c211201332a637a493d27608721aad5",
"index": 7004,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef put_record_to_logstream(event: utils.LambdaEvent) ->str:\n \"\"\"Put a record of source Lambda execution in LogWatch Logs.\"\"\"\n log_group_name = env['REPORT_LOG_GROUP_NAM... | [
0,
1,
2,
3,
4
] |
import spacy
nlp = spacy.load("en_core_web_lg")
def find_entities(corpus):
doc = nlp(corpus)
entities = {}
for ent in doc.ents:
entity_type = ent.label_
entity_name = ent.text
values = entities.get(entity_type, set())
values.add(entity_name)
entities[entity_type]... | normal | {
"blob_id": "3a0bf031b76d2df03cdb5b37861cb8942307709c",
"index": 7601,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef find_entities(corpus):\n doc = nlp(corpus)\n entities = {}\n for ent in doc.ents:\n entity_type = ent.label_\n entity_name = ent.text\n values = enti... | [
0,
1,
2,
3,
4
] |
#embaralhar sorteio
import random
a1 = input('Primeiro aluno: ')
a2 = input('Primeiro segundo: ')
a3 = input('Primeiro terceiro: ')
a4 = input('Primeiro quarto: ')
lista = [a1, a2, a3, a4]
random.shuffle(lista)
print('A ordem de apresentacao será')
print(lista) | normal | {
"blob_id": "9a0e24fbe9f51dc914d891e90196c2ff4e65f04a",
"index": 9652,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nrandom.shuffle(lista)\nprint('A ordem de apresentacao será')\nprint(lista)\n",
"step-3": "<mask token>\na1 = input('Primeiro aluno: ')\na2 = input('Primeiro segundo: ')\na3 = input('Pri... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python
from ks_auth import sess
from ks_auth import trust_auth
from ks_auth import ks
from ks_auth import utils
from novaclient import client
import novaclient.exceptions
from time import sleep
from uuid import uuid4
import sys
# RDTIBCC-1042
VERSION = '2'
nova = client.Client(VERSION, session=sess)
u... | normal | {
"blob_id": "9f40162348d33d70639692dac87777a2799999e9",
"index": 6688,
"step-1": "#!/usr/bin/env python\nfrom ks_auth import sess\nfrom ks_auth import trust_auth\nfrom ks_auth import ks\nfrom ks_auth import utils\nfrom novaclient import client\nimport novaclient.exceptions\nfrom time import sleep\nfrom uuid impo... | [
0
] |
from gym_mag.envs.mag_control_env import MagControlEnv
| normal | {
"blob_id": "dd7896e3beb5e33282b38efe0a4fc650e629b185",
"index": 5081,
"step-1": "<mask token>\n",
"step-2": "from gym_mag.envs.mag_control_env import MagControlEnv\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
'''
Created on Nov 20, 2012
@author: shriram
'''
import xml.etree.ElementTree as ET
from xml.sax.saxutils import escape
'''
Annotating only Sparse and Non Sparse Lines
'''
class Trainer:
def html_escape(self,text):
html_escape_table = {
'"': """,
"'": "'"
}
re... | normal | {
"blob_id": "22e24e8dd49367ae57d1980c4addf48d65c5e897",
"index": 7851,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Trainer:\n\n def html_escape(self, text):\n html_escape_table = {'\"': '"', \"'\": '''}\n return escape(text, html_escape_table)\n\n def train(self... | [
0,
3,
4,
6,
7
] |
from django.conf.urls import url
from django.contrib.auth.views import login,logout
from appPortas.views import *
urlpatterns = [
url(r'^porta/list$', porta_list, name='porta_list'),
url(r'^porta/detail/(?P<pk>\d+)$',porta_detail, name='porta_detail'),
url(r'^porta/new/$', porta_new, name='porta_new'),
... | normal | {
"blob_id": "5e355732f07029aa644617ac9b5e9ad50ee9397f",
"index": 1161,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [url('^porta/list$', porta_list, name='porta_list'), url(\n '^porta/detail/(?P<pk>\\\\d+)$', porta_detail, name='porta_detail'), url(\n '^porta/new/$', porta_new, name... | [
0,
1,
2,
3
] |
#
# PySNMP MIB module CISCO-L2NAT-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CISCO-L2NAT-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 17:47:06 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27... | normal | {
"blob_id": "2fb95fa2b7062085f31c6b1dbb8c1336c3871e93",
"index": 3271,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nciscoL2natMIB.setRevisions(('2013-04-16 00:00',))\nif mibBuilder.loadTexts:\n ciscoL2natMIB.setLastUpdated('201304160000Z')\nif mibBuilder.loadTexts:\n ciscoL2natMIB.setOrganization... | [
0,
1,
2,
3
] |
"""
Project: tomsim simulator
Module: FunctionalUnit
Course: CS2410
Author: Cyrus Ramavarapu
Date: 19 November 2016
"""
# DEFINES
BUSY = 1
FREE = 0
class FunctionalUnit:
"""FunctionalUnit Class to encompass methods needed for
Integer, Divide, Multipler, Load, Store Functional
Units in tomsim
... | normal | {
"blob_id": "a2a94e87bb9af1ccaf516581d6662d776caf0b0d",
"index": 6284,
"step-1": "<mask token>\n\n\nclass FunctionalUnit:\n <mask token>\n <mask token>\n\n def __str__(self):\n return (\n \"\"\"\n Id: {}\n Instruction Count: {}\n Latency:... | [
7,
8,
11,
12,
13
] |
from collections import defaultdict
class Graph:
def __init__(self):
self._graph = defaultdict(list)
self._odd_vertices = []
def add_vertex(self, v):
if not v in self._graph:
self._graph[v] = list()
def add_edge(self, v1, v2):
self._graph[v1].append(v2)
... | normal | {
"blob_id": "b4d412e8b45722a855a16dd64b7bce9b303d0ffe",
"index": 964,
"step-1": "<mask token>\n\n\nclass Graph:\n\n def __init__(self):\n self._graph = defaultdict(list)\n self._odd_vertices = []\n\n def add_vertex(self, v):\n if not v in self._graph:\n self._graph[v] = list... | [
5,
6,
7,
8,
9
] |
import pandas
import os
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import Select
from selenium.common.exceptions import NoSuchElementException
import json
CONFIG_FILE_NAME = os.path.join(os.path.dirname(__file__), 'input_info.json')
def create_ne... | normal | {
"blob_id": "14cb702054b8caaa8899a2a3d8b65aae9b063cb6",
"index": 5600,
"step-1": "<mask token>\n\n\ndef create_new_report(chrome_driver_inner, report_info_inner):\n add_new_report = chrome_driver_inner.find_element_by_id(\n 'MainContent_MainActionCreate')\n add_new_report.click()\n next_button = ... | [
2,
3,
4,
5,
6
] |
import FWCore.ParameterSet.Config as cms
maxEvents = cms.untracked.PSet( input = cms.untracked.int32(-1) )
readFiles = cms.untracked.vstring()
source = cms.Source ("PoolSource",fileNames = readFiles, lumisToProcess = cms.untracked.VLuminosityBlockRange(*('1:11169', '1:11699', '1:16592', '1:23934', '1:17699', '1:22722',... | normal | {
"blob_id": "15821bb33c2949f5a3e72e23cf7b5d8766dfce70",
"index": 4568,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nreadFiles.extend([\n '/store/mc/RunIIFall17MiniAODv2/TTbarDMJets_Dilepton_pseudoscalar_LO_TuneCP5_13TeV-madgraph-mcatnlo-pythia8/MINIAODSIM/PU2017_12Apr2018_rp_94X_mc2017_realistic_v14... | [
0,
1,
2,
3,
4
] |
# -*- coding:utf-8 -*-
from odoo import api, fields, _, models
Type_employee = [('j', 'Journalier'), ('m', 'Mensuel')]
class HrCnpsSettings(models.Model):
_name = "hr.cnps.setting"
_description = "settings of CNPS"
name = fields.Char("Libellé", required=True)
active = fields.Boolean("Ac... | normal | {
"blob_id": "4f7b689c06383673b510092932b051c644306b84",
"index": 3500,
"step-1": "<mask token>\n\n\nclass HrCnpsSettings(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\n\nclass HrCnpsCotisationLineTe... | [
3,
4,
5,
6,
7
] |
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