code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
#!/usr/bin/env python3
import sys
import os
import math
import tempfile
import zlib
import lzma
import struct
import bitstruct
# a swf file unpacker and analyzer
# majority of information taken from https://www.adobe.com/devnet/swf.html (version 19)
# some additional information taken from https://github.com/cla... | normal | {
"blob_id": "4556febd5fddf390f370a8e24871eacf08d34c9f",
"index": 7087,
"step-1": "<mask token>\n\n\nclass SWFRect(object):\n\n def __init__(self, xmin, xmax, ymin, ymax):\n self.xmin = xmin\n self.xmax = xmax\n self.ymin = ymin\n self.ymax = ymax\n\n def __str__(self):\n ... | [
17,
18,
20,
22,
24
] |
# Generated by Django 2.2.7 on 2019-11-15 23:43
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('quizzapp', '0005_auto_20191115_2339'),
]
operations = [
migrations.RemoveField(
model_name='question',
name='titre',
... | normal | {
"blob_id": "b2fa6104f03dc76522a51f352101cef199ddc665",
"index": 675,
"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 = [('quizzapp', '... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.5 on 2016-08-24 22:13
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('users', '0026_auto_20160712_1541'),
]
operations = [
migrations.CreateModel(... | normal | {
"blob_id": "04c1765e6c2302098be2a7f3242dfd536683f742",
"index": 6138,
"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 = [('users', '00... | [
0,
1,
2,
3,
4
] |
import sys
sys.path.append("..")
from packages import bitso as BS
from packages import account as ACCOUNT
from packages import currency_pair as CP
account=ACCOUNT.Account('577e4a03-540f9610-f686d434-qz5c4v5b6n','dd7b02f5-c286e9d4-f2cc78c3-bfab3')
bs=BS.Bitso(account)
currency_pair=CP.CurrencyPair('btc','xmn')
depth=b... | normal | {
"blob_id": "03147de944c4f75417006a5087e75354dba644ec",
"index": 6339,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsys.path.append('..')\n<mask token>\n",
"step-3": "<mask token>\nsys.path.append('..')\n<mask token>\naccount = ACCOUNT.Account('577e4a03-540f9610-f686d434-qz5c4v5b6n',\n 'dd7b02f5-c... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
admin.autodiscover()
<|reserved_special_token_0|>
urlpatterns += staticfiles_urlpatterns()
urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
a... | flexible | {
"blob_id": "538e582df7bfcf281973a5296adc14ca067be0a5",
"index": 2581,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nadmin.autodiscover()\n<mask token>\nurlpatterns += staticfiles_urlpatterns()\nurlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)\n",
"step-3": "<mask token>\na... | [
0,
1,
2,
3,
4
] |
#! /usr/bin/python
import math
import sys
import os
import subprocess
#PTYPES = [ "eth_ip_udp_head_t", "ip_udp_head_t", "eth_32ip_udp_head_t", "eth_64ip_udp_head_t", "eth64_64ip64_64udp_head_t", "eth6464_64ip64_64udp_head_t" ]
#PTYPES = [ "eth_ip_udp_head_t", "eth_32ip_udp_head_t", "eth_64ip_udp_head_t", "eth64_64... | normal | {
"blob_id": "9101fc5b8ba04a1b72e0c79d5bf3e4118e1bad75",
"index": 5676,
"step-1": "#! /usr/bin/python\n\nimport math\nimport sys\nimport os\nimport subprocess\n\n\n#PTYPES = [ \"eth_ip_udp_head_t\", \"ip_udp_head_t\", \"eth_32ip_udp_head_t\", \"eth_64ip_udp_head_t\", \"eth64_64ip64_64udp_head_t\", \"eth6464_64ip... | [
0
] |
<|reserved_special_token_0|>
def test_playable_hts_in_hand():
assert playable_hts_in_hand(hand_3playable_hts) == 3
assert playable_hts_in_hand(hand_2playable_hts) == 2
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def test_playable_hts_in_hand():
assert play... | flexible | {
"blob_id": "43179b8b096836758271a791b4aacb7bbe398ea9",
"index": 1807,
"step-1": "<mask token>\n\n\ndef test_playable_hts_in_hand():\n assert playable_hts_in_hand(hand_3playable_hts) == 3\n assert playable_hts_in_hand(hand_2playable_hts) == 2\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_pl... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
dependencies = [(... | flexible | {
"blob_id": "9905559909f10831373e659cde0f275dc5d71e0d",
"index": 7041,
"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 = [('training_ar... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main():
n, a, b = map(int, input().split())
print(tort(n, a, b))
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def tort(n, a, b):
return min(n * a, b)
def main():
n, a, b = map(int, input()... | flexible | {
"blob_id": "7c06bd52c924d3e401f50625109c5b8b489df157",
"index": 7434,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n n, a, b = map(int, input().split())\n print(tort(n, a, b))\n\n\n<mask token>\n",
"step-3": "def tort(n, a, b):\n return min(n * a, b)\n\n\ndef main():\n n,... | [
0,
1,
2,
3
] |
'''
Author: Dustin Spicuzza
Date: 3/22/2012
Description:
This mode only feeds another robot, does not move or anything
'''
class FeedOnlyAutonomousMode(object):
# this name should be descriptive and unique. This will be shown to the user
# on the SmartDashboard
MODE_NAME = ... | normal | {
"blob_id": "3596ef12ce407a8d84319daa38a27a99ed0de763",
"index": 5208,
"step-1": "<mask token>\n\n\nclass FeedOnlyAutonomousMode(object):\n <mask token>\n <mask token>\n <mask token>\n\n def OnEnable(self):\n \"\"\"\n This function is called when Autonomous mode is enabled. You shou... | [
3,
4,
5,
6,
7
] |
""" GetState
Usage:
get_state.py <pem-file> <ip-file> [options]
Options:
-h, --help print help message and exit
--output DIR set the output directory [default: logs]
"""
from docopt import docopt
import paramiko
import os
def get_logs(ip_addr, pem_file, log_dir):
pem = paramiko.RSAKey... | normal | {
"blob_id": "a1df804325a074ed980ec864c72fe231e2968997",
"index": 4024,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef get_logs(ip_addr, pem_file, log_dir):\n pem = paramiko.RSAKey.from_private_key_file(pem_file)\n client = paramiko.SSHClient()\n client.set_missing_host_key_policy(paramik... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
{'variables': {'node_shared_openssl%': 'true'}, 'targets': [{'target_name':
'keypair', 'sources': ['secp256k1/keypair.cc'], 'conditions': [[
'OS=="win"', {'conditions': [['target_arch=="x64"', {'variables': {
'openssl_root%': 'C:/OpenSSL-Win64'}},... | flexible | {
"blob_id": "e7b30353fd25beb9d5cdeee688e4ffa6955d4221",
"index": 8437,
"step-1": "<mask token>\n",
"step-2": "{'variables': {'node_shared_openssl%': 'true'}, 'targets': [{'target_name':\n 'keypair', 'sources': ['secp256k1/keypair.cc'], 'conditions': [[\n 'OS==\"win\"', {'conditions': [['target_arch==\"x6... | [
0,
1,
2
] |
from tdm.lib.device import DddDevice, DeviceAction, DeviceWHQuery, Validity
class CallJohnDevice(DddDevice):
class MakeCall(DeviceAction):
def perform(self, select_contact, select_number):
contact = self.device.CONTACTS.get(select_contact)
number_type = self.device.CONTACT... | normal | {
"blob_id": "1dd235ecfe577b508d0777e8c70026114aeb154f",
"index": 6648,
"step-1": "from tdm.lib.device import DddDevice, DeviceAction, DeviceWHQuery, Validity\r\n\r\n\r\nclass CallJohnDevice(DddDevice):\r\n\r\n class MakeCall(DeviceAction):\r\n def perform(self, select_contact, select_number):\r\n ... | [
0
] |
# -*- coding: utf-8 -*-
"""
Copyright (C) 2015, MuChu Hsu
Contributed by Muchu Hsu (muchu1983@gmail.com)
This file is part of BSD license
<https://opensource.org/licenses/BSD-3-Clause>
"""
import unittest
import logging
from cameo.spiderForCROWDCUBE import SpiderForCROWDCUBE
"""
測試 抓取 CROWDCUBE
"""
class SpiderForCRO... | normal | {
"blob_id": "45856b4c5cbf1d3b414ad769135b2d974bc0a22b",
"index": 7120,
"step-1": "<mask token>\n\n\nclass SpiderForCROWDCUBETest(unittest.TestCase):\n\n def setUp(self):\n logging.basicConfig(level=logging.INFO)\n self.spider = SpiderForCROWDCUBE()\n self.spider.initDriver()\n <mask to... | [
3,
4,
6,
7,
8
] |
# ------------------------------------#
# Title: Mailroom Part 1
# Dev: SChang
# Date: Feb 2nd, 2019
# ChangeLog: (Who, When, What)
# SChang,02/02/2019, Created Script
# ------------------------------------#
import os
import sys
import math
donor_list = {"William Gates": [1010, 2020, 3030],
... | normal | {
"blob_id": "f2292d1816699392663bdbf7a06c334de3b2022c",
"index": 7118,
"step-1": "<mask token>\n\n\ndef send_ty():\n DonorName = 'list'\n while DonorName == 'list':\n DonorName = input(\n '\"Provide Donor Full Name, or type: \"List\" to display a list of all donors => '\n )\n ... | [
7,
9,
10,
12,
13
] |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import csv
file_open = open("C:/Users/DI_Lab/Desktop/20년도 Kisti 과제/HMM/HMM(Up,Down).csv", 'r', encoding='UTF8')
save_file = open("C:/Users/DI_Lab/Desktop/20년도 Kisti 과제/HMM/HMM사후확률.csv", 'w', encoding='UTF8',newline='')
write = csv.writer(save_file)... | normal | {
"blob_id": "55977a673bb36900e1d797cb9ec330ce6d9aa717",
"index": 8232,
"step-1": "<mask token>\n\n\ndef count(a, b):\n a = int(a)\n b = int(b)\n if a == 0 and b == 0:\n return 0\n elif a == 0 and b == 1:\n return 1\n elif a == 1 and b == 0:\n return 2\n elif a == 1 and b ==... | [
1,
2,
3,
4,
5
] |
from django.conf.urls.defaults import *
#from wiki.feeds import *
from django.conf import settings
from django.conf.urls.defaults import *
# feeds for wikiPages and wikiNews
"""
feeds = {
'latestpages': LatestPages,
}
sitemaps = {
'wiki': Wiki,
}
"""
urlpatterns = patterns('',
# Example:
# (r'^goimcommu... | normal | {
"blob_id": "f44ff7488ae8fc64bc1785fb6cbe80c4cc011fbe",
"index": 6808,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = patterns('', ('^admin/', include('django.contrib.admin.urls')\n ), ('^polls/', include('goimcommunity.polls.urls')), ('^league/',\n include('goimcommunity.leaguesystem... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(b)
print(c)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
a = hashlib.pbkdf2_hmac('sha256', b'hallo', b'salt', 1)
b = hashlib.pbkdf2_hmac('sha256', a, b'salt', 1)
c = hashlib.pbkdf2_hmac('sha256', b'hallo', b'... | flexible | {
"blob_id": "20ac73789fa7297a9230a6a2b814349d2b7da5fb",
"index": 1851,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(b)\nprint(c)\n",
"step-3": "<mask token>\na = hashlib.pbkdf2_hmac('sha256', b'hallo', b'salt', 1)\nb = hashlib.pbkdf2_hmac('sha256', a, b'salt', 1)\nc = hashlib.pbkdf2_hmac('sha25... | [
0,
1,
2,
3,
4
] |
from unittest import TestCase
from spiral.spiral_matrix import SpiralMatrix
class TestOutwardCounterClockwise(TestCase):
def test_traverse_empty(self):
matrix = []
actual = [i for i in SpiralMatrix(matrix, clockwise=False, inward=False)]
self.assertEqual([], actual)
def test_traverse_... | normal | {
"blob_id": "84f6336261e1c276f029822754842514715791df",
"index": 3604,
"step-1": "<mask token>\n\n\nclass TestOutwardCounterClockwise(TestCase):\n <mask token>\n <mask token>\n\n def test_traverse_single_element(self):\n matrix = [[1]]\n actual = [i for i in SpiralMatrix(matrix, clockwise=... | [
5,
7,
11,
14,
15
] |
import pymysql
import pymssql
import socket
import threading
from time import sleep
address = ('127.0.0.1', 20176)
usermode = {1: 'Wangcz_Students',
2: 'Wangcz_Teachers',
3: 'Wangcz_Admin'
}
def checkuser(username, password, cursor, user_db):
cursor.execute('''select * from %s... | normal | {
"blob_id": "758e5b9a65132c4bdee4600e79c27f9c0f272312",
"index": 8308,
"step-1": "<mask token>\n\n\ndef checkuser(username, password, cursor, user_db):\n cursor.execute('select * from %s WHERE username = %d AND password = %d' %\n (user_db, int(username), int(password)))\n return cursor.fetchall()\n\... | [
2,
3,
4,
5,
6
] |
#!/usr/bin/env python3
import cgitb
import sys
from auth import is_admin
cgitb.enable()
sys.stdout.write('Content-Type: application/octet-stream\n\n')
sys.stdout.write('yes' if is_admin() else 'no')
sys.stdout.flush()
| normal | {
"blob_id": "be9972d899a167a8ca2728960e55cda538793cc5",
"index": 1576,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ncgitb.enable()\nsys.stdout.write('Content-Type: application/octet-stream\\n\\n')\nsys.stdout.write('yes' if is_admin() else 'no')\nsys.stdout.flush()\n",
"step-3": "import cgitb\nimport... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def randomizer(n, garrafa_vidro, lata_metal, copo_plastico, bola_papel,
maça_organico):
lixos = [garrafa_vidro, lata_metal, copo_plastico, bola_papel,
maça_organico]
return lixos[n]
| flexible | {
"blob_id": "71a9c9b8f47dcfbecc154c44d5a72ddbd852145a",
"index": 328,
"step-1": "<mask token>\n",
"step-2": "def randomizer(n, garrafa_vidro, lata_metal, copo_plastico, bola_papel,\n maça_organico):\n lixos = [garrafa_vidro, lata_metal, copo_plastico, bola_papel,\n maça_organico]\n return lixos... | [
0,
1
] |
from PyQt4 import QtGui
from PyQt4.QtCore import pyqtSignal, pyqtSlot, QObject, Qt
from twisted.internet.defer import inlineCallbacks
import numpy as np
from connection import connection
import pyqtgraph as pg
from pyqtgraph.SignalProxy import SignalProxy
import sys
import time
global harwareConfiguration
class grap... | normal | {
"blob_id": "8173afbd82b8da04db4625ac686c0d052e65a21c",
"index": 9470,
"step-1": "<mask token>\n\n\nclass graphingwidget(QtGui.QWidget):\n <mask token>\n <mask token>\n\n def __init__(self, reactor, configpath):\n super(graphingwidget, self).__init__()\n self.reactor = reactor\n sel... | [
7,
8,
9,
10,
11
] |
n=int(input("Enter any int number:\n"))
x=1
while(x<13):
print(n ," x ", x ," = ", n*x)
x=x+1
| normal | {
"blob_id": "a6c07146f1cbc766cd464dab620d1fb075759c12",
"index": 4213,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile x < 13:\n print(n, ' x ', x, ' = ', n * x)\n x = x + 1\n",
"step-3": "n = int(input('Enter any int number:\\n'))\nx = 1\nwhile x < 13:\n print(n, ' x ', x, ' = ', n * x)\... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
@user.route('/users/add', methods=['GET', 'POST'])
def add_user():
"""
load form page and add to the database
"""
if request.method == 'POST':
user = User(username=request.form['username'], password=request.
form['password'], is_admin=request.form.getli... | flexible | {
"blob_id": "9a6f4f0eac5d9e5b4b92fcb2d66d39df15b3b281",
"index": 6303,
"step-1": "<mask token>\n\n\n@user.route('/users/add', methods=['GET', 'POST'])\ndef add_user():\n \"\"\"\n load form page and add to the database\n \"\"\"\n if request.method == 'POST':\n user = User(username=request.form[... | [
2,
4,
5,
6,
7
] |
import cv2
img = cv2.imread('Chapter1/resources/jacuzi.jpg')
imgGrey = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
imgCanny = cv2.Canny(img,240,250)
cv2.imshow("output",imgCanny)
cv2.waitKey(0) | normal | {
"blob_id": "292cfecb701ecc179381d4453063aff532a0e877",
"index": 8961,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ncv2.imshow('output', imgCanny)\ncv2.waitKey(0)\n",
"step-3": "<mask token>\nimg = cv2.imread('Chapter1/resources/jacuzi.jpg')\nimgGrey = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\nimgCanny ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class SyncRecv:
def __init__(self):
self._comport = '/dev/ttyUSB0'
self._baudrate = '115200'
self._epwm_sync_pin = 'GPIO2_23'
self._sync_in_pin = 'GPIO2_25'
self._sync_out_pin = 'GPIO1_14'
self.setup_pins()
<|reserved_special_token_... | flexible | {
"blob_id": "c716f43dbe62f662c60653f09be946a27c3fff66",
"index": 8069,
"step-1": "<mask token>\n\n\nclass SyncRecv:\n\n def __init__(self):\n self._comport = '/dev/ttyUSB0'\n self._baudrate = '115200'\n self._epwm_sync_pin = 'GPIO2_23'\n self._sync_in_pin = 'GPIO2_25'\n self... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
class retrieve_open_space(dml.Algorithm):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
@staticmethod
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None
):
... | flexible | {
"blob_id": "2c82dd33180a7442607e5cbedf8846bd72b37150",
"index": 9914,
"step-1": "<mask token>\n\n\nclass retrieve_open_space(dml.Algorithm):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n @staticmethod\n def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=Non... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def create_statement(month=None):
def _get_pdfkit_config():
if os.getenv('FLASK_ENV') == 'production':
WKHTMLTOPDF_CMD = subprocess.Popen(['which', os.environ.get(
'WKHTMLTOPDF_BINARY', '... | flexible | {
"blob_id": "55df8d13ddf28f7b0477329bee743471a0780f24",
"index": 3253,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef create_statement(month=None):\n\n def _get_pdfkit_config():\n if os.getenv('FLASK_ENV') == 'production':\n WKHTMLTOPDF_CMD = subprocess.Popen(['which', os.env... | [
0,
1,
2,
3
] |
# =============================================================================
# Created By : Mohsen Malmir
# Created Date: Fri Nov 09 8:10 PM EST 2018
# Purpose : this file implements the gui handling to interact with emulators
# =============================================================================
from... | normal | {
"blob_id": "043ea0efd490522de4f6ee4913c8d66029b34ff5",
"index": 5136,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef activate_emu():\n \"\"\"\n This function scans all the open windows and returns a handle to the first known\n and supported emulator-game pair.\n Args:\n None\n... | [
0,
2,
3,
4,
5
] |
from PIL import Image, ImageDraw, ImageFont
import sys
### Create 1024,1024 pixel image with a white background.
img = Image.new("RGB", (1024, 1024), color = (255,255,255))
### Take text to be drawn on the image from the command terminal.
text = sys.argv[1]
### Chose favourite font and set size of the font.
fnt = Im... | normal | {
"blob_id": "053fa80c80d40cd28acb7d6a8bf1b2c30be9b36e",
"index": 7786,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nd.text(xy=(320, 420), text=text, font=fnt, fill=(0, 0, 0))\nimg.save(text + '.png')\n",
"step-3": "<mask token>\nimg = Image.new('RGB', (1024, 1024), color=(255, 255, 255))\ntext = sys.... | [
0,
1,
2,
3,
4
] |
# 出现频率特别高的和频率特别低的词对于文本分析帮助不大，一般在预处理阶段会过滤掉。
# 在英文里，经典的停用词为 “The”, "an"....
# 方法1： 自己建立一个停用词词典
stop_words = ["the", "an", "is", "there"]
# 在使用时： 假设 word_list包含了文本里的单词
word_list = ["we", "are", "the", "students"]
filtered_words = [word for word in word_list if word not in stop_words]
print (filtered_words)
# ... | normal | {
"blob_id": "d14937aaa7a80d6b95825afa2a2d6ff8202e5f5c",
"index": 2498,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(filtered_words)\n<mask token>\nprint(' '.join(singles))\n",
"step-3": "stop_words = ['the', 'an', 'is', 'there']\nword_list = ['we', 'are', 'the', 'students']\nfiltered_words = [w... | [
0,
1,
2,
3,
4
] |
import sys
def caesar( plaintext, key ):
if int( key ) < 0:
return
plaintext_ascii = [ ( ord( char ) + int( key ) ) for char in plaintext ]
for ascii in plaintext_ascii:
if ( ascii < 97 and ascii > 90 ) or ascii > 122:
ascii -= 25
ciphertext = ''.join( [ chr( ascii ) for a... | normal | {
"blob_id": "9a7c6998e9e486f0497d3684f9c7a422c8e13521",
"index": 7076,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef caesar(plaintext, key):\n if int(key) < 0:\n return\n plaintext_ascii = [(ord(char) + int(key)) for char in plaintext]\n for ascii in plaintext_ascii:\n if ... | [
0,
1,
2,
3,
4
] |
from packer.utils import hello_world
| normal | {
"blob_id": "d549303228e860ae278a5a9497a4a3a68989aeca",
"index": 6097,
"step-1": "<mask token>\n",
"step-2": "from packer.utils import hello_world\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
rc('font', **{'family': 'serif'})
<|reserved_special_token_0|>
for i, nafm in enumerate(nafms):
detuning = 6.44
a1, a2 = fetchdata.fetch_data_A1A2({'afmsize': nafm, 'ai': 0.0}, 'det',
datfile)
sunits = 9 * 6.71... | flexible | {
"blob_id": "feac1092d1aaf70eb4d4df919e434cdc1aa9c826",
"index": 9171,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nrc('font', **{'family': 'serif'})\n<mask token>\nfor i, nafm in enumerate(nafms):\n detuning = 6.44\n a1, a2 = fetchdata.fetch_data_A1A2({'afmsize': nafm, 'ai': 0.0}, 'det',\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def inception_2d_fields(img, fields, num_classes=30, is_training=True,
dropout_keep_prob=0.6, prediction_fn=layers_lib.softmax,
spatial_squeeze=True, reuse=None, scope='InceptionV1_Fields'):
with arg_scope([layers.co... | flexible | {
"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
] |
import firebase_admin
from firebase_admin import credentials
from firebase_admin import db
import paho.mqtt.client as mqtt
# Fetch the service account key JSON file contents
cred = credentials.Certificate('iot_mikro.json')
# Initialize the app with a service account, granting admin privileges
firebase_admin.initialize... | normal | {
"blob_id": "acff8618754658104ac36214901d346447a0134f",
"index": 811,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfirebase_admin.initialize_app(cred, {'databaseURL':\n 'https://mikro-b4844.firebaseio.com/'})\n<mask token>\nprint(ref.get())\n<mask token>\nwhile True:\n print(ref.get())\n if re... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python
from __future__ import print_function
import weechat
import sys
import pickle
import json
import math
import os.path
from datetime import datetime
from datetime import date
from datetime import timedelta
from dateutil.parser import parse as datetime_parse
from os.path import expanduser
from goog... | normal | {
"blob_id": "0ed0fb6f9bcc768bb005222c9ae9b454f6d962ec",
"index": 9148,
"step-1": "<mask token>\n\n\ndef _load_credentials(creds_file=None):\n \"\"\"Loads the credentials from a credentials.json file or by prompting for authentication.\n Returns a credentials object to be used by the Google Sheets API.\n ... | [
7,
10,
11,
12,
13
] |
from django.shortcuts import render
from django.core.urlresolvers import reverse
from django.http import HttpResponseRedirect, HttpResponse
from .models import Document, Organization, UserProfile, Shop
#from .forms import DocUploadForm, ShopEditForm
from django.shortcuts import render_to_response, get_object_or_404
fro... | normal | {
"blob_id": "d2c5d306591216e100b5bd8e8822b24fd137d092",
"index": 9208,
"step-1": "<mask token>\n\n\nclass DocUploadForm(forms.ModelForm):\n tags = forms.ModelMultipleChoiceField(queryset=Tag.objects.all())\n\n\n class Meta:\n model = Document\n exclude = ['organization', 'private_user', 'is_p... | [
23,
24,
32,
34,
37
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main(argv):
for com in argv:
with open(com, 'rb') as f:
txt = f.read()
if 'tzvp tzvpfit' in txt:
parts = txt.split('tzvp tzvpfit', 1)
new_txt = parts[0] + 'tzvp/tzvpfit... | flexible | {
"blob_id": "85974e48c7eafdf39379559820ed7f0bdc07fb7a",
"index": 3680,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main(argv):\n for com in argv:\n with open(com, 'rb') as f:\n txt = f.read()\n if 'tzvp tzvpfit' in txt:\n parts = txt.split('tzvp tzvpfit',... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class IEMRunInfoReader:
"""
Illumina Experimental Manager RunInfo xml reader.
"""
def __init__(self, f):
self.xml_file = f
self.tree = ET.parse(self.xml_file)
self.root = self.tree.getroot()
def get_reads(self):
reads = [r.attrib for r... | flexible | {
"blob_id": "b16c847912944e0563492d35768b5b5bf3a506c7",
"index": 1569,
"step-1": "<mask token>\n\n\nclass IEMRunInfoReader:\n \"\"\"\n Illumina Experimental Manager RunInfo xml reader.\n \"\"\"\n\n def __init__(self, f):\n self.xml_file = f\n self.tree = ET.parse(self.xml_file)\n ... | [
25,
27,
28,
36,
38
] |
def maths(num):
int(num)
if num % 5 == 0 and num % 3 == 0:
print("bizzfizz")
elif num % 3 == 0:
print("fizz")
elif num % 5 == 0:
print("bizz")
else:
print(num)
value=input("enter the value ")
maths(int(value)) | normal | {
"blob_id": "91f83adbe01e2d8070f9286031b77eae71beb83e",
"index": 1107,
"step-1": "<mask token>\n",
"step-2": "def maths(num):\n int(num)\n if num % 5 == 0 and num % 3 == 0:\n print('bizzfizz')\n elif num % 3 == 0:\n print('fizz')\n elif num % 5 == 0:\n print('bizz')\n else:\... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for file in flist:
print(file)
name = file.split('.nc')[0]
ds = xr.open_dataset(path_to_regrided_files + file, decode_times=False)
timespan = [ds.timespan]
print(timespan)
ti, tf = timespan[0].split(' to ')... | flexible | {
"blob_id": "4fc4bb81d47a33e4669df46033033fddeca6544e",
"index": 8858,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor file in flist:\n print(file)\n name = file.split('.nc')[0]\n ds = xr.open_dataset(path_to_regrided_files + file, decode_times=False)\n timespan = [ds.timespan]\n print(... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python
def findSubset(s0, s, t):
mys0 = s0.copy()
mys = s.copy()
if t == 0 and mys0:
return mys0
elif t == 0: # and mys0 == set()
return True
else:
if len(mys) > 0:
p = mys.pop()
mys1 = mys0.copy()
mys1.add(p)
... | normal | {
"blob_id": "079610f2aaebec8c6e46ccf21a9d5728df1be8de",
"index": 4155,
"step-1": "<mask token>\n",
"step-2": "def findSubset(s0, s, t):\n mys0 = s0.copy()\n mys = s.copy()\n if t == 0 and mys0:\n return mys0\n elif t == 0:\n return True\n elif len(mys) > 0:\n p = mys.pop()\n... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def _push_test_data(app, model, data=None):
app.authmodel(model, ['insert'])
resp = app.post('/', json={'_data': [{**res, '_op': 'insert', '_type':
model} for res in data or test_data]})
assert resp.status_code == 200, resp.json()
resp = resp.json()
assert '_da... | flexible | {
"blob_id": "57e9c1a4ac57f68e0e73c2c67c6828de8efb1b16",
"index": 3903,
"step-1": "<mask token>\n\n\ndef _push_test_data(app, model, data=None):\n app.authmodel(model, ['insert'])\n resp = app.post('/', json={'_data': [{**res, '_op': 'insert', '_type':\n model} for res in data or test_data]})\n as... | [
43,
48,
56,
58,
63
] |
#! /usr/bin/env python3
__all__ = [
'FrameCorners',
'CornerStorage',
'build',
'dump',
'load',
'draw',
'without_short_tracks'
]
import click
import cv2
import numpy as np
import pims
from _corners import FrameCorners, CornerStorage, StorageImpl
from _corners import dump, load, draw, withou... | normal | {
"blob_id": "0b5fb649dc421187820677ce75f3cd0e804c18a3",
"index": 7055,
"step-1": "<mask token>\n\n\nclass _CornerStorageBuilder:\n\n def __init__(self, progress_indicator=None):\n self._progress_indicator = progress_indicator\n self._corners = dict()\n\n def set_corners_at_frame(self, frame, ... | [
10,
12,
14,
15,
17
] |
import datetime
count = 0
for y in xrange(1901,2001):
for m in xrange(1,13):
if datetime.date(y,m,1).weekday() == 6:
count += 1
print count
| normal | {
"blob_id": "7430e17d1c424362399cf09a0c3ecae825d04567",
"index": 2996,
"step-1": "import datetime\ncount = 0\nfor y in xrange(1901,2001):\n\tfor m in xrange(1,13):\n\t\tif datetime.date(y,m,1).weekday() == 6:\n\t\t\tcount += 1\n\nprint count\n",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": n... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def predict(text, phobert, tokenizer):
model = load_model('model.h5')
X_test = word2vec(text, phobert, tokenizer)
x_test_tensor = tf.convert_to_tensor(X_test)
X_tests = []
X_tests.append(x_test_tensor)
X_... | flexible | {
"blob_id": "d2c9ee64472c74767812d842d2c49eec962e28c6",
"index": 4451,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef predict(text, phobert, tokenizer):\n model = load_model('model.h5')\n X_test = word2vec(text, phobert, tokenizer)\n x_test_tensor = tf.convert_to_tensor(X_test)\n X_te... | [
0,
1,
2,
3,
4
] |
import requests
seesion = requests.Session()
header = {'User-Agent':
'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.104 Safari/537.36 Core/1.53.3387.400 QQBrowser/9.6.11984.400'
}
cookie = {'Cookie':
'_ga=GA1.2.1866009938.1500885157; xmuuid=XMGUEST-B6484440-71B... | normal | {
"blob_id": "8c652f30cd256912512b6b91d1682af7da0ff915",
"index": 8265,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(html.decode('utf-8'))\n",
"step-3": "<mask token>\nseesion = requests.Session()\nheader = {'User-Agent':\n 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like... | [
0,
1,
2,
3
] |
import SCons.Util
import xml.dom.minidom, re, os.path
################################################################################
# DocBook pseudobuilder
# TODO: Only generate the output formats that are known
################################################################################
def generate(env) :
... | normal | {
"blob_id": "cae49da8dd436fc51b472c4a88703d8bc6c79bda",
"index": 427,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef generate(env):\n\n def remove_doctype(target, source, env):\n f = open(str(target[0]))\n output = []\n for line in f.readlines():\n output.append... | [
0,
1,
2,
3,
4
] |
import models
import json
import reports.models
import common.ot_utils
def analyze_raw_reports(clean=True):
if clean:
delete_all_reports()
COUNT = 100
offset = 0
while True:
cont = analyze_raw_reports_subset(offset,COUNT)
offset += COUNT
if not cont:
return
... | normal | {
"blob_id": "c3527363cfc29ab7d598fe232d784b05ec2ef069",
"index": 388,
"step-1": "import models\nimport json\nimport reports.models\nimport common.ot_utils\n\ndef analyze_raw_reports(clean=True):\n if clean:\n delete_all_reports()\n COUNT = 100\n offset = 0\n while True:\n cont = analyze... | [
0
] |
<|reserved_special_token_0|>
class Game:
location: list[int, int] = [c.WIDTH / 2, c.HEIGHT / 2]
velocity: list[int, int] = [0, 0]
current_player: Player = None
other_players: Dict[str, Tuple[Player, Tuple[int, int]]] = {}
connection: socket.socket
font: pygame.font.Font
<|reserved_special_... | flexible | {
"blob_id": "418798369578e80ecbf82da802b23dc6ca922569",
"index": 7107,
"step-1": "<mask token>\n\n\nclass Game:\n location: list[int, int] = [c.WIDTH / 2, c.HEIGHT / 2]\n velocity: list[int, int] = [0, 0]\n current_player: Player = None\n other_players: Dict[str, Tuple[Player, Tuple[int, int]]] = {}\... | [
10,
11,
12,
14,
15
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
m.sort()
x -= sum(m)
print(n + x // m[0])
<|reserved_special_token_1|>
n, x = map(int, input().split())
m = [int(input()) for _ in range(n)]
m.sort()
x -= sum(m)
print(n + x // m[0])
| flexible | {
"blob_id": "0ff398775fd13fb5fbd23bf2359bb31dff6bd38c",
"index": 9821,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nm.sort()\nx -= sum(m)\nprint(n + x // m[0])\n",
"step-3": "n, x = map(int, input().split())\nm = [int(input()) for _ in range(n)]\nm.sort()\nx -= sum(m)\nprint(n + x // m[0])\n",
"ste... | [
0,
1,
2
] |
'''Module main'''
import argparse
import api
import quoridor
import quoridorx
def analyser_commande():
'''Analyseur de ligne de commande.'''
parser = argparse.ArgumentParser(description='Jeu Quoridor - phase 3')
parser.add_argument("idul", help="IDUL du joueur.")
parser.add_argument("-l", '--lister'... | normal | {
"blob_id": "f69544a9123f1738cd7d21c1b4fc02dd73fb9d1b",
"index": 6008,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef analyser_commande():\n \"\"\"Analyseur de ligne de commande.\"\"\"\n parser = argparse.ArgumentParser(description='Jeu Quoridor - phase 3')\n parser.add_argument('idul', ... | [
0,
1,
2,
3,
4
] |
from selenium import webdriver
driver = webdriver.Chrome(executable_path=r'D:\Naveen\Selenium\chromedriver_win32\chromedriver.exe')
driver.maximize_window()
driver.get('http://zero.webappsecurity.com/')
parent_window_handle = driver.current_window_handle
driver.find_element_by_xpath("(//a[contains(text(),'privacy')])... | normal | {
"blob_id": "223413918ba2a49cd13a34026d39b17fb5944572",
"index": 5849,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndriver.maximize_window()\ndriver.get('http://zero.webappsecurity.com/')\n<mask token>\ndriver.find_element_by_xpath(\"(//a[contains(text(),'privacy')])[1]\").click()\n<mask token>\nfor wi... | [
0,
1,
2,
3,
4
] |
import pickle
import numpy as np
import math
class AdaBoostClassifier:
'''A simple AdaBoost Classifier.'''
def __init__(self, weak_classifier, n_weakers_limit):
'''Initialize AdaBoostClassifier
Args:
weak_classifier: The class of weak classifier, which is recommend to be sklearn.t... | normal | {
"blob_id": "905d8be76ef245a2b8fcfb3f806f8922d351ecf0",
"index": 8877,
"step-1": "<mask token>\n\n\nclass AdaBoostClassifier:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def predict(self, X, threshold=0):\n \"\"\"Predict the catagories... | [
3,
7,
8,
9,
12
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def divisible_by_2(my_list=[]):
if my_list is None or len(my_list) == 0:
return None
new = []
for num in my_list:
if num % 2 == 0:
new.append(True)
else:
new.append(False)
return new
<|reserved... | flexible | {
"blob_id": "17f91b612fad14200d2911e2cb14e740b239f9ff",
"index": 4894,
"step-1": "<mask token>\n",
"step-2": "def divisible_by_2(my_list=[]):\n if my_list is None or len(my_list) == 0:\n return None\n new = []\n for num in my_list:\n if num % 2 == 0:\n new.append(True)\n ... | [
0,
1,
2
] |
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
# pylint: disable=dangerous-default-value,wrong-import-position,unused-import, import-outside-toplevel
def create_app(settings_override={}):
app = Flask(__name__)
app.config.from_object('zezin.settings.Configuration')
app.c... | normal | {
"blob_id": "6affc182f5d3353d46f6e9a21344bc85bf894165",
"index": 948,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef create_app(settings_override={}):\n app = Flask(__name__)\n app.config.from_object('zezin.settings.Configuration')\n app.config.update(settings_override)\n db.init_app(... | [
0,
1,
2,
3,
4
] |
/usr/share/pyshared/Bio/Phylo/_io.py | normal | {
"blob_id": "7e50fc5eb794d7f2e4805924dcc7a99296e0d732",
"index": 614,
"step-1": "/usr/share/pyshared/Bio/Phylo/_io.py",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
} | [
0
] |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2016-08-03 02:31
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.Creat... | normal | {
"blob_id": "cdd929ee041c485d2a6c1149ea1b1ced92d7b7ab",
"index": 5972,
"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
] |
__author__ = 'anderson'
from pyramid.security import Everyone, Allow, ALL_PERMISSIONS
class Root(object):
#Access Control List
__acl__ = [(Allow, Everyone, 'view'),
(Allow, 'role_admin', ALL_PERMISSIONS),
(Allow, 'role_usuario', 'comum')]
def __init__(self, request):
... | normal | {
"blob_id": "5ee2a51ea981f0feab688d9c571620a95d89a422",
"index": 6980,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Root(object):\n <mask token>\n\n def __init__(self, request):\n pass\n",
"step-3": "__author__ = 'anderson'\n<mask token>\n\n\nclass Root(object):\n __acl__ = ... | [
0,
2,
4,
5,
6
] |
"""Wrapper over the command line migrate tool to better work with
config files."""
import subprocess
import sys
from alembic.migration import MigrationContext
from ..lib.alembic import bootstrap_db
from ..lib.sqla import create_engine
from ..models import DBSession as db
def main():
if len(sys.argv) < 3:
... | normal | {
"blob_id": "7b459cf321f351e1485a9aef0ca23067f411e430",
"index": 7446,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n if len(sys.argv) < 3:\n sys.stderr.write(\n 'Usage: %s CONFIG_URI {bootstrap | ALEMBIC_OPTS}\\n' % sys.argv[0])\n sys.exit(1)\n config_uri... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
kube_description= \
"""
Compute Server
"""
kube_instruction= \
"""
Not instructions yet
"""
#
# Standard geni-lib/portal libraries
#
import geni.portal as portal
import geni.rspec.pg as PG
import geni.rspec.emulab as elab
import geni.rspec.igext as IG
import geni.urn as URN
#
# PhantomNet ext... | normal | {
"blob_id": "ff7a865822a4f8b343ab4cb490c24d6d530b14e1",
"index": 934,
"step-1": "<mask token>\n",
"step-2": "<mask token>\npc.verifyParameters()\n<mask token>\ntour.Description(IG.Tour.TEXT, kube_description)\ntour.Instructions(IG.Tour.MARKDOWN, kube_instruction)\nrspec.addTour(tour)\npc.printRequestRSpec(rspe... | [
0,
1,
2,
3,
4
] |
"""inactivate fb posts
Revision ID: f37637c1bcf8
Revises: 43c7ecf8ed02
Create Date: 2017-06-22 12:01:59.623040
"""
from alembic import op
from pd.facebook.models import MediaType
# revision identifiers, used by Alembic.
revision = 'f37637c1bcf8'
down_revision = '43c7ecf8ed02'
branch_labels = None
depends_on = None
... | normal | {
"blob_id": "89ed30411c624e3d930db0bc0b5b716a10908727",
"index": 8259,
"step-1": "<mask token>\n\n\ndef upgrade():\n op.execute(' '.join([update.format('false'), where]))\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef upgrade():\n op.execute(' '.join([update.format('false'), where]))\n\n\ndef dow... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def upgrade():
op.create_unique_constraint('_unique_name_unit', 'ingredient', ['name',
'unit'])
op.create_unique_constraint(None, 'product', ['nappi_code'])
op.add_column('product_ingredient', sa.Column('strength', sa.String(),
nullable=True))
op.create_uni... | flexible | {
"blob_id": "d0a73385db0dd6f729d267095ef83b9fec72e40c",
"index": 1464,
"step-1": "<mask token>\n\n\ndef upgrade():\n op.create_unique_constraint('_unique_name_unit', 'ingredient', ['name',\n 'unit'])\n op.create_unique_constraint(None, 'product', ['nappi_code'])\n op.add_column('product_ingredien... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def j():
global i
import pandas as pd
st1.update({i: st})
data = pd.DataFrame(st1)
print(data)
data.to_csv('student.csv')
fa1.update({i: fa})
data1 = pd.DataFrame(fa1)
print(data1)
data1.to_csv('faculty.csv')
i = i + 1
<|reserved_special_token... | flexible | {
"blob_id": "3e7e6d7a0137d91dc7437ff91a39d7f8faad675e",
"index": 7075,
"step-1": "<mask token>\n\n\ndef j():\n global i\n import pandas as pd\n st1.update({i: st})\n data = pd.DataFrame(st1)\n print(data)\n data.to_csv('student.csv')\n fa1.update({i: fa})\n data1 = pd.DataFrame(fa1)\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main():
lc1821 = LightCurve('PSR_B1821-24/PSR_B1821-24_combined.evt')
lc0218 = LightCurve('PSR_J0218+4232/PSR_J0218+4232_combined.evt')
fig, ax = plt.subplots(2, 1, figsize=(8, 8))
ax[0], _ = lc1821.fit_two('... | flexible | {
"blob_id": "48311ee17a3f2eca8db32d7672f540fa45a7a900",
"index": 3524,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n lc1821 = LightCurve('PSR_B1821-24/PSR_B1821-24_combined.evt')\n lc0218 = LightCurve('PSR_J0218+4232/PSR_J0218+4232_combined.evt')\n fig, ax = plt.subplots(2, 1,... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
while name != 'your name' and name != 'Your name':
print('Please type your name.')
name = input()
print('Thanks!')
<|reserved_special_token_1|>
name = ''
while name != 'your name' and name != 'Your name':
print('Ple... | flexible | {
"blob_id": "f3644b42d1a6c87c6169f8d123dadf6cd209270c",
"index": 2617,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile name != 'your name' and name != 'Your name':\n print('Please type your name.')\n name = input()\nprint('Thanks!')\n",
"step-3": "name = ''\nwhile name != 'your name' and nam... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in range(n):
s = a[i]
ans[s - 1] = i + 1
print(*ans)
<|reserved_special_token_1|>
n = int(input())
a = [int(e) for e in input().split()]
ans = [0] * n
for i in range(n):
s = a[i]
ans[s - 1] = i + 1
print(*... | flexible | {
"blob_id": "f74e2e6b59330bd63fee9192e74a72178abc1cab",
"index": 8195,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(n):\n s = a[i]\n ans[s - 1] = i + 1\nprint(*ans)\n",
"step-3": "n = int(input())\na = [int(e) for e in input().split()]\nans = [0] * n\nfor i in range(n):\n s = ... | [
0,
1,
2
] |
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
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
urlpatterns = patterns('', url('^create_new/$',
'hx_lti_assignment.views.create_new_assignment', name=
'create_new_assignment'), url('^(?P<id>[0-9]+)/edit/',
'hx_lti_assignment.views.edit_assignment', name='edit_assign... | flexible | {
"blob_id": "2194fb4f0b0618f1c8db39f659a4890457f45b1d",
"index": 3963,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = patterns('', url('^create_new/$',\n 'hx_lti_assignment.views.create_new_assignment', name=\n 'create_new_assignment'), url('^(?P<id>[0-9]+)/edit/',\n 'hx_lti_assign... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
with DAG('twitter_dag_v1', start_date=datetime(2018, 10, 1),
schedule_interval='@daily', default_args=DAG_DEFAULT_ARGS, catchup=False
) as dag:
None
<|reserved_special_token_1|>
<|reserved_special_token_0|>
DAG_DEFA... | flexible | {
"blob_id": "436cc06778bf9ac9e04a897f4a4db90c595d943c",
"index": 5969,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith DAG('twitter_dag_v1', start_date=datetime(2018, 10, 1),\n schedule_interval='@daily', default_args=DAG_DEFAULT_ARGS, catchup=False\n ) as dag:\n None\n",
"step-3": "<mask ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
@aluno.route('/hello')
def hello():
return 'Hello, aluno'
@aluno.route('/reseta', methods=['POST'])
def reseta():
sqlaluno = 'DELETE FROM aluno'
sqldisciplina = 'DELETE FROM disciplina'
sqlprofessor = 'DELETE FROM professor'
with closing(conectar()) as conn, closing(... | flexible | {
"blob_id": "5068336ca1a180e09a7efd41eea596cdcebb33ae",
"index": 5586,
"step-1": "<mask token>\n\n\n@aluno.route('/hello')\ndef hello():\n return 'Hello, aluno'\n\n\n@aluno.route('/reseta', methods=['POST'])\ndef reseta():\n sqlaluno = 'DELETE FROM aluno'\n sqldisciplina = 'DELETE FROM disciplina'\n ... | [
6,
7,
8,
9,
10
] |
<|reserved_special_token_0|>
class Network:
def placeholder_inputs(self, batch_size, num_point):
source_pointclouds_pl = tf.placeholder(tf.float32, shape=(
batch_size, num_point, 3))
return source_pointclouds_pl
def get_model(self, source_pointclouds_pl, feature_size, is_training... | flexible | {
"blob_id": "e4a0f26afe8c78e4abbd85834c96ed5ba84e1f0b",
"index": 3894,
"step-1": "<mask token>\n\n\nclass Network:\n\n def placeholder_inputs(self, batch_size, num_point):\n source_pointclouds_pl = tf.placeholder(tf.float32, shape=(\n batch_size, num_point, 3))\n return source_pointcl... | [
4,
6,
7,
8,
9
] |
"""
CP1404 - Practical
Code that produces a random number between 1 and 100 inclusive
Rhys Simpson
"""
# 1.
# smallest number 5; largest number 20
# 2.
# smallest number 3; largest number 9
# no it can only produce 3, 5, 7, 9
# 3.
# smallest number 2.5000000000000000; largest number 5.5000000000000000
import random... | normal | {
"blob_id": "46696ee9576d74c087ae435bfd304c8346530ab2",
"index": 9804,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(random.randint(1, 100))\n",
"step-3": "<mask token>\nimport random\nprint(random.randint(1, 100))\n",
"step-4": "\"\"\"\nCP1404 - Practical\nCode that produces a random number b... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def plot_image(img, ax, title):
ax.imshow(np.transpose(img, (1, 2, 0)), interpolation='nearest')
ax.set_title(title, fontsize=20)
<|reserved_special_token_0|>
def plot_encoding(image, vsc, latent_sz, alpha=None, width=1 / 7):
image = vsc.transform(image).to(vsc.device)
... | flexible | {
"blob_id": "ae27f97b5633309d85b9492e1a0f268847c24cd5",
"index": 9366,
"step-1": "<mask token>\n\n\ndef plot_image(img, ax, title):\n ax.imshow(np.transpose(img, (1, 2, 0)), interpolation='nearest')\n ax.set_title(title, fontsize=20)\n\n\n<mask token>\n\n\ndef plot_encoding(image, vsc, latent_sz, alpha=Non... | [
3,
4,
5,
6,
7
] |
import sqlite3 as lite
import sys
con = lite.connect("test.db")
with con:
cur = con.cursor()
cur.execute('''CREATE TABLE Cars(Id INT, Name TEXT, Price INT)''')
cur.execute('''INSERT INTO Cars VALUES(1, 'car1', 10)''')
cur.execute('''INSERT INTO Cars VALUES(2, 'car2', 20)''')
cur.execute('''INSERT INTO C... | normal | {
"blob_id": "db22e568c86f008c9882181f5c1d88d5bca28570",
"index": 5416,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith con:\n cur = con.cursor()\n cur.execute('CREATE TABLE Cars(Id INT, Name TEXT, Price INT)')\n cur.execute(\"INSERT INTO Cars VALUES(1, 'car1', 10)\")\n cur.execute(\"INSER... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
@app.route('/')
def index():
return render_template('index.html')
@app.route('/result', methods=['POST'])
def result():
form_data = request.form
sentence = form_data['sentence']
output = get_result(sentence)
return render_template('result.html', result=output)
<|re... | flexible | {
"blob_id": "264da5a2ab7d5c311d8a59b06c81ea2156cefd76",
"index": 9627,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef index():\n return render_template('index.html')\n\n\n@app.route('/result', methods=['POST'])\ndef result():\n form_data = request.form\n sentence = form_data['sentence']\n output =... | [
2,
3,
4,
5,
6
] |
"""
Definition of SegmentTreeNode:
"""
class SegmentTreeNode:
def __init__(self, start, end):
self.start, self.end = start, end
self.left, self.right = None, None
class Solution:
"""
@param: start: start value.
@param: end: end value.
@return: The root of Segment Tree.
"""
... | normal | {
"blob_id": "5e20a517131f7a372d701548e4f370766a84ba52",
"index": 6134,
"step-1": "<mask token>\n\n\nclass Solution:\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n \"\"\"\n @param: start: start value.\n @param: end: end value.\n @return: The root of Segment Tr... | [
1,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def IsPrime(x):
for i in range(2, int(x ** 0.5) + 1):
if not x % i:
return False
return True
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def IsPrime(x... | flexible | {
"blob_id": "fcfec521e071aa586febc74efb2deb0e9d0a331e",
"index": 3358,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef IsPrime(x):\n for i in range(2, int(x ** 0.5) + 1):\n if not x % i:\n return False\n return True\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef I... | [
0,
1,
2,
3,
4
] |
# vim:fileencoding=utf-8:noet
from __future__ import absolute_import, unicode_literals, print_function
import os
BINDINGS_DIRECTORY = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'bindings')
TMUX_CONFIG_DIRECTORY = os.path.join(BINDINGS_DIRECTORY, 'tmux')
DEFAULT_SYSTEM_CONFIG_DIR = None
| normal | {
"blob_id": "c435b0f162512bb2bc0c35e1817f64c5ef9ff7bc",
"index": 1871,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nBINDINGS_DIRECTORY = os.path.join(os.path.dirname(os.path.abspath(__file__)\n ), 'bindings')\nTMUX_CONFIG_DIRECTORY = os.path.join(BINDINGS_DIRECTORY, 'tmux')\nDEFAULT_SYSTEM_CONFIG_DI... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
plt.close('all')
<|reserved_special_token_0|>
axs[0].plot(t, s_t)
axs[0].grid('True')
axs[0].set_title('Señal Original')
axs[0].set_ylim(-0.2, 0.2)
axs[0].set_ylabel('[V]')
axs[1].plot(t, r_t)
axs[1].grid('True')
axs[1].set_title(... | flexible | {
"blob_id": "dd59f3b1d8b17defe4e7f30fec594d01475319d2",
"index": 6211,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nplt.close('all')\n<mask token>\naxs[0].plot(t, s_t)\naxs[0].grid('True')\naxs[0].set_title('Señal Original')\naxs[0].set_ylim(-0.2, 0.2)\naxs[0].set_ylabel('[V]')\naxs[1].plot(t, r_t)\nax... | [
0,
1,
2,
3,
4
] |
'''
This module demonstrates how to use some functionality of python built-in csv module
'''
import csv
def csv_usage():
'''
This function demonstrates how to use csv module to read and write csv files
'''
with open('example.csv', 'r', newline='') as csvfile:
reader_c = csv.reader(csvfile, deli... | normal | {
"blob_id": "bcc2977f36ecc775f44ae4251ce230af9abf63ba",
"index": 7362,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef csv_usage():\n \"\"\"\n This function demonstrates how to use csv module to read and write csv files\n \"\"\"\n with open('example.csv', 'r', newline='') as csvfile:\n... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def sieve(limit):
ans = []
a = [1] * limit
a[0] = a[1] = 0
for i in range(2, limit):
if a[i] == 0:
continue
ans.append(i)
for j in range(i * i, limit, i):
a[j] = 0
return ans
<|reserved_special_token_0|>
<|reserved_sp... | flexible | {
"blob_id": "ff6dc347637a81c9f6a541775646b4901d719790",
"index": 9478,
"step-1": "<mask token>\n\n\ndef sieve(limit):\n ans = []\n a = [1] * limit\n a[0] = a[1] = 0\n for i in range(2, limit):\n if a[i] == 0:\n continue\n ans.append(i)\n for j in range(i * i, limit, i)... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class DuplicateEnvironmentTest(unittest.TestCase):
<|reserved_special_token_0|>
def test_num_envs(self):
num_envs = 5
env = DuplicateEnvironment(make_vec_env(num_envs))
self.assertEqual(env.num_envs, num_envs)
self.assertEqual((num_envs,), env.rese... | flexible | {
"blob_id": "e01eced7c43aae354047fbf29028c601d1daae50",
"index": 9636,
"step-1": "<mask token>\n\n\nclass DuplicateEnvironmentTest(unittest.TestCase):\n <mask token>\n\n def test_num_envs(self):\n num_envs = 5\n env = DuplicateEnvironment(make_vec_env(num_envs))\n self.assertEqual(env.... | [
4,
5,
6,
7,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class GatesLineGeometry(FixtureTest):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class GatesLineGeometry(FixtureTest):
def test_linear_gate(self):
self.load_fixtu... | flexible | {
"blob_id": "2192e328bdfa454ff1d1f66a05fb6a322c48b244",
"index": 2847,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass GatesLineGeometry(FixtureTest):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass GatesLineGeometry(FixtureTest):\n\n def test_linear_gate(self):\n self.load_... | [
0,
1,
2,
3,
4
] |
# pyOCD debugger
# Copyright (c) 2006-2013,2018 Arm Limited
# SPDX-License-Identifier: Apache-2.0
#
# 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/LICENS... | normal | {
"blob_id": "58aa72588357b18ab42391dfffbf2a1b66589edd",
"index": 552,
"step-1": "<mask token>\n\n\nclass KV11Z7(Kinetis):\n <mask token>\n\n def __init__(self, session):\n super(KV11Z7, self).__init__(session, self.MEMORY_MAP)\n self._svd_location = SVDFile.from_builtin('MKV11Z7.svd')\n",
"... | [
2,
3,
4,
5,
6
] |
/home/mitchellwoodbine/Documents/github/getargs/GetArgs.py | normal | {
"blob_id": "0065a493767a2080a20f8b55f76ddeae92dc27f1",
"index": 3359,
"step-1": "/home/mitchellwoodbine/Documents/github/getargs/GetArgs.py",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
} | [
0
] |
<|reserved_special_token_0|>
def klist(**kwargs):
kwargs.update({'teachers': [x for x in User.objects.filter(status=1) if
not x.is_demo()], 'admins': User.objects.filter(status=2)})
return kwargs
<|reserved_special_token_0|>
@must_be_admin
def account(request, account_id):
try:
acc = U... | flexible | {
"blob_id": "a01ca49c3fa8ea76de2880c1b04bf15ccd341edd",
"index": 924,
"step-1": "<mask token>\n\n\ndef klist(**kwargs):\n kwargs.update({'teachers': [x for x in User.objects.filter(status=1) if\n not x.is_demo()], 'admins': User.objects.filter(status=2)})\n return kwargs\n\n\n<mask token>\n\n\n@must... | [
3,
6,
7,
8,
10
] |
<|reserved_special_token_0|>
def coattention(num_embeddings):
image_input = Input(shape=(196, 512))
question_input = Input(shape=(SEQ_LENGTH,))
output = CoattentionModel(num_embeddings)(question_input, image_input)
model = Model(inputs=[question_input, image_input], outputs=output)
return model
... | flexible | {
"blob_id": "a8d52d81ef6538e9cb8a0a9cab7cd0a778454c8e",
"index": 6424,
"step-1": "<mask token>\n\n\ndef coattention(num_embeddings):\n image_input = Input(shape=(196, 512))\n question_input = Input(shape=(SEQ_LENGTH,))\n output = CoattentionModel(num_embeddings)(question_input, image_input)\n model =... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
class ProductsListSteps:
@given('Prepare classes products list')
def prepare_class(context):
context.login = LoginPage(context.driver)
context.products = ProductsPage(context.driver)
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_sp... | flexible | {
"blob_id": "a74a880039bad030d665e001da74075bd61fcc23",
"index": 1593,
"step-1": "<mask token>\n\n\nclass ProductsListSteps:\n\n @given('Prepare classes products list')\n def prepare_class(context):\n context.login = LoginPage(context.driver)\n context.products = ProductsPage(context.driver)\... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
def fit_linear_model(x, y):
logger.info('Using Lasso')
lr = Lasso(alpha=0.01)
lr.fit(x, y)
return SharedScalerModel(lr)
class SharedScalerModel:
def __init__(self, lm):
self.lm = lm
self.coef_ = torch.unsqueeze(torch.tensor(lm.coef_, dtype=torch.
... | flexible | {
"blob_id": "9f86ff37d3a72364b5bd83e425d8151136c07dd3",
"index": 6294,
"step-1": "<mask token>\n\n\ndef fit_linear_model(x, y):\n logger.info('Using Lasso')\n lr = Lasso(alpha=0.01)\n lr.fit(x, y)\n return SharedScalerModel(lr)\n\n\nclass SharedScalerModel:\n\n def __init__(self, lm):\n sel... | [
7,
8,
10,
11,
12
] |
from string import Template
import os
#-----template objects-----
#for putting a template inside an ifdef guard
TIfGuard = Template("""if(${condition})
${innerbody}
endif()\n""")
#For minimum cmake version and project name
TProjectSettings = Template("""cmake_minimum_required (VERSION ${MinCmakeVer})
project(${Name}... | normal | {
"blob_id": "8cba57e3552e0072720fe42fa1949534f29d71b5",
"index": 1562,
"step-1": "<mask token>\n\n\ndef WriteToFile(f, output, condition=False, conditionID=''):\n f.write(output if not condition else WrapInGuard(conditionID, output))\n\n\n<mask token>\n\n\ndef WrapInGuard(condition, innerbody):\n return TI... | [
8,
12,
15,
16,
18
] |
import os
my_home = os.popen("echo $MYWORK_DIR").readlines()[0][:-1]
import numpy
from sys import path, argv
path.append("D:/Github/astrophy-research/mylib")
path.append("D:/Github/astrophy-research/multi_shear_detect")
path.append('%s/work/mylib' % my_home)
from Fourier_Quad import Fourier_Quad
# import h5py
# from pl... | normal | {
"blob_id": "1ffdc2845bc503c0a30407de444a152f8cc68d57",
"index": 1370,
"step-1": "<mask token>\n",
"step-2": "<mask token>\npath.append('D:/Github/astrophy-research/mylib')\npath.append('D:/Github/astrophy-research/multi_shear_detect')\npath.append('%s/work/mylib' % my_home)\n<mask token>\nif rank == 0:\n n... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
@contextmanager
def timer(name):
t0 = time.time()
yield
print('{color}[{name}] done in {et:.0f} s{nocolor}'.format(name=name,
et=time.time() - t0, color='\x1b[1;33m', nocolor='\x1b[0m'))
<|reserved_special_token_0|>
@main.command()
@click.option('--path', type=clic... | flexible | {
"blob_id": "5cc325758d5bd99ebe49c40af4d2e339bbf64044",
"index": 7508,
"step-1": "<mask token>\n\n\n@contextmanager\ndef timer(name):\n t0 = time.time()\n yield\n print('{color}[{name}] done in {et:.0f} s{nocolor}'.format(name=name,\n et=time.time() - t0, color='\\x1b[1;33m', nocolor='\\x1b[0m'))... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
def conv(dt1, dt2):
return np.mean((dt1 - np.mean(dt1)) * (dt2 - np.mean(dt2)))
<|reserved_special_token_0|>
def rho(p1, p2):
return conv(p1, p2) / np.std(p1) / np.std(p2)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
print("""
----------------概率与统计-----------... | flexible | {
"blob_id": "1ab5c6a56ac229c5a9892a9848c62a9a19a0dda7",
"index": 3360,
"step-1": "<mask token>\n\n\ndef conv(dt1, dt2):\n return np.mean((dt1 - np.mean(dt1)) * (dt2 - np.mean(dt2)))\n\n\n<mask token>\n\n\ndef rho(p1, p2):\n return conv(p1, p2) / np.std(p1) / np.std(p2)\n\n\n<mask token>\n",
"step-2": "pr... | [
2,
4,
5,
6,
7
] |
import array
from PIL import Image
from generic.editable import XEditable as Editable
class PLTT(Editable):
"""Palette information"""
FORMAT_16BIT = 3
FORMAT_256BIT = 4
def define(self, clr):
self.clr = clr
self.string('magic', length=4, default='PLTT') # not reversed
self... | normal | {
"blob_id": "2fadc5c90d1bae14c57fc3bf02582e12aa8abdf6",
"index": 790,
"step-1": "<mask token>\n\n\nclass PLTT(Editable):\n <mask token>\n <mask token>\n <mask token>\n\n def define(self, clr):\n self.clr = clr\n self.string('magic', length=4, default='PLTT')\n self.uint32('size_'... | [
13,
14,
15,
16,
19
] |
from model import WSD
from data_preprocessing import load_dataset, create_mapping_dictionary, reload_word_mapping,get_bn2wn,get_bn2wndomains, get_bn2lex
from typing import List, Dict, Tuple
from prova import convert_sentence_to_features_no_padding
import numpy as np
import os
from nltk.corpus import wordnet
mfs_count... | normal | {
"blob_id": "e3631a2a003f98fbf05c45a019250e76d3366949",
"index": 2582,
"step-1": "<mask token>\n\n\ndef predict_babelnet(input_path: str, output_path: str, resources_path: str\n ) ->None:\n global mfs_counter\n \"\"\"\n DO NOT MODIFY THE SIGNATURE!\n This is the skeleton of the prediction function... | [
7,
9,
11,
12,
15
] |
<|reserved_special_token_0|>
class Manager(object):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def __init__(self, port, options, printer):
"""Initializes test runner data structures.
... | flexible | {
"blob_id": "08b57c00beb8dfedfee1bc032b8c281d7a151931",
"index": 8033,
"step-1": "<mask token>\n\n\nclass Manager(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, port, options, printer):\n \"\"\"Initializes test runner data struc... | [
14,
20,
25,
31,
33
] |
import sqlite3
def to_string(pessoa):
for linha in pessoa:
print('id: {}\nNome: {}'.format(linha[0], linha[1]))
if __name__ == '__main__':
con = sqlite3.connect('lab05-ex01.sqlite')
cursor = con.cursor()
cursor.execute("SELECT * FROM Pessoa")
print(cursor.fetchall())
nome = input(... | normal | {
"blob_id": "4246773a8da61ff21d5faa8ab8ad2d7e75fafb60",
"index": 3058,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef to_string(pessoa):\n for linha in pessoa:\n print('id: {}\\nNome: {}'.format(linha[0], linha[1]))\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef to_string(pess... | [
0,
1,
2,
3,
4
] |
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