code stringlengths 13 1.2M | order_type stringclasses 1
value | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
# written by Mohammad Shahrad @UBC
RECENT_NEWS_COUNT = 5
import json
with open("./all-news.json") as f:
allNews = json.load(f)
recent_news_counter = 0
with open("./recent-news.js", "w") as f:
f.write("document.write('\\\n")
f.write("<ul>\\\n")
for value in allNews.values():
f.write("<li>\\\n... | normal | {
"blob_id": "6097840cdf4b42efaca3e197f88703d927abe889",
"index": 2548,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('./all-news.json') as f:\n allNews = json.load(f)\n<mask token>\nwith open('./recent-news.js', 'w') as f:\n f.write(\"document.write('\\\\\\n\")\n f.write('<ul>\\\\\\n'... | [
0,
1,
2,
3,
4
] |
def read_int():
return int(input().strip())
def read_ints():
return list(map(int, input().strip().split(' ')))
def solve():
K, S = read_ints()
# X+Y+Z = S
# 0 <= X,Y,Z <= K
total = 0
for X in range(K+1):
if S-X < 0:
break
# Y+Z=S-X
Y_min = max(S-X-K,... | normal | {
"blob_id": "46b1fc975fbeedcafaa66c85c378e2249a495647",
"index": 8827,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef read_ints():\n return list(map(int, input().strip().split(' ')))\n\n\ndef solve():\n K, S = read_ints()\n total = 0\n for X in range(K + 1):\n if S - X < 0:\n ... | [
0,
2,
3,
4,
5
] |
from wagtail.tests.utils import WagtailPageTests
from setup_guide.models import SetupGuideLandingPage, SetupGuidePage
from home.models import HomePage
class SetupGuideLandingPageTests(WagtailPageTests):
def test_can_create_under_homepage(self):
self.assertCanCreateAt(HomePage, SetupGuideLandingPage)
... | normal | {
"blob_id": "5fdcbccb99880da79eb0efbdecd328ca1cf73d7f",
"index": 1415,
"step-1": "<mask token>\n\n\nclass SetupGuideLandingPageTests(WagtailPageTests):\n <mask token>\n <mask token>\n\n\nclass SetupGuidePageTests(WagtailPageTests):\n\n def test_can_create_under_landing_page(self):\n self.assertCa... | [
3,
4,
5,
6,
7
] |
"""Functions for updating and performing bulk inference using an Keras MPNN model"""
from typing import List, Dict, Tuple
import numpy as np
import tensorflow as tf
from molgym.mpnn.data import convert_nx_to_dict
from molgym.mpnn.layers import custom_objects
from molgym.utils.conversions import convert_smiles_to_nx
... | normal | {
"blob_id": "95ab8fce573ef959946d50d9af6e893cb8798917",
"index": 6714,
"step-1": "<mask token>\n\n\nclass MPNNMessage:\n \"\"\"Package for sending an MPNN model over pickle\"\"\"\n\n def __init__(self, model: tf.keras.Model):\n \"\"\"\n Args:\n model: Model to be sent\n \"\"... | [
9,
11,
12,
13,
14
] |
import sys
from arguments_parser import parse_args
from open_ldap import OpenLdap
from csv_parser import parse_csv, random_password
from smtp_mail import SmtpServer
def create_user(open_ldap, smtp, entries):
"""
If the 'ldap_insert' returns True, then
the email will be send with the account info.
"""
... | normal | {
"blob_id": "4f0a0089ad128edca3052da58a4c71f935592e25",
"index": 4499,
"step-1": "<mask token>\n\n\ndef create_user(open_ldap, smtp, entries):\n \"\"\"\n If the 'ldap_insert' returns True, then\n the email will be send with the account info.\n \"\"\"\n try:\n if open_ldap.ldap_insert(entrie... | [
2,
3,
4,
5,
6
] |
# Generated by Django 3.0.3 on 2020-02-09 06:29
import datetime
from django.db import migrations, models
from django.utils.timezone import utc
class Migration(migrations.Migration):
dependencies = [
('devices_collect', '0004_auto_20200209_1304'),
]
operations = [
migrations.AlterField(
... | normal | {
"blob_id": "b07d042c61e9e6647822989444e72db2e01c64d0",
"index": 5751,
"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 = [('devices_col... | [
0,
1,
2,
3,
4
] |
from basetest import simtest
import testutil
import logging, random
from nitro_parts.lib.imager import ccm as CCM
import numpy
###############################################################################
class DotProductTest(simtest):
def _set_coeff(self, c):
cq = (c * 32).astype(numpy.uint8)
... | normal | {
"blob_id": "53110d6e7923cf65c514d54950a0be165582e9a0",
"index": 4909,
"step-1": "<mask token>\n\n\nclass DotProductTest(simtest):\n <mask token>\n <mask token>\n\n def _check(self, c, d):\n d = numpy.array(d)\n ds = d.copy()\n ds[d > 511] = d[d > 511] - 1024\n c = numpy.arra... | [
3,
4,
5,
6,
7
] |
# -*- coding: utf-8 -*-
"""
Created on Thu Apr 4 12:47:30 2019
Title: MP4-Medical Image Processing
@author: MP4 Team
"""
# Validate window controller
class ValidateWindowCtr(object):
# Initialization
def __init__(self, fig, im_trans, im_truth, im_segmen, vol_trans, vol_truth, vol_segmen, ax_trans,... | normal | {
"blob_id": "e0b28fdcbc3160bcccbb032949317a91a32eeb1b",
"index": 5394,
"step-1": "<mask token>\n\n\nclass ValidateWindowCtr(object):\n\n def __init__(self, fig, im_trans, im_truth, im_segmen, vol_trans,\n vol_truth, vol_segmen, ax_trans, ax_truth, ax_segmen, index_trans,\n index_truth, index_seg... | [
4,
5,
6,
7,
8
] |
# Generated by Django 3.0.2 on 2020-08-27 16:03
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('info', '0010_auto_20200808_2117'),
]
operations = [
migrations.AddField(
model_name='profile',
name='annual_income',... | normal | {
"blob_id": "45b2b611a80b93c9a7d8ec8a09e5838147e1ea76",
"index": 8626,
"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 = [('info', '001... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Jan 2 18:52:27 2021
@author: burak
"""
import veriler
import gorsel
import numpy as np
from sklearn.neighbors import KNeighborsClassifier
neighbors = np.arange(1,13)
train_accuracy = np.empty(len(neighbors))
test_accuracy = np.empty(len(neighbors))
... | normal | {
"blob_id": "133bd0b2affc3d29390edeab51299d294dafb709",
"index": 4188,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor n, k in enumerate(neighbors):\n knn = KNeighborsClassifier(n_neighbors=k, metric='minkowski')\n knn.fit(veriler.X_train, veriler.y_train.ravel())\n train_accuracy[n] = knn.sc... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python
#-*- coding : utf-8 -*-
import string
import keyword
alphas = string.letters + '_'
nums = string.digits
keywords = keyword.kwlist
checklst = alphas + nums
print 'Welcome to the Identifier Checker v1.0'
myInput = raw_input('Identifier to test? ')
if myInput in keywords:
print 'Okay as a keywor... | normal | {
"blob_id": "2420c835ff91c1269cb16fca2e60e191e1e8ce13",
"index": 6457,
"step-1": "#!/usr/bin/env python\n#-*- coding : utf-8 -*-\n\nimport string\nimport keyword\n\nalphas = string.letters + '_'\nnums = string.digits\nkeywords = keyword.kwlist\nchecklst = alphas + nums\n\nprint 'Welcome to the Identifier Checker... | [
0
] |
T = int(input())
for cnt in range(1, T + 1):
S = input()
S_list = []
card = {'S': 13, 'D': 13, 'H': 13, 'C': 13}
print('#' + str(cnt), end=' ')
for i in range(0, len(S), 3):
S_list.append(S[i:i + 3])
if len(set(S_list)) != len(S_list):
print('ERROR')
else:
for i in S_... | normal | {
"blob_id": "45750152313fd3670867c61d0173e4cb11a806ba",
"index": 4468,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor cnt in range(1, T + 1):\n S = input()\n S_list = []\n card = {'S': 13, 'D': 13, 'H': 13, 'C': 13}\n print('#' + str(cnt), end=' ')\n for i in range(0, len(S), 3):\n ... | [
0,
1,
2
] |
import web
import datetime
# run with sudo to run on port 80 and use GPIO
urls = ('/', 'index', '/survey', 'survey')
render = web.template.render('templates/')
class survey:
def GET(self):
return render.survey()
class index:
def GET(self):
i = web.input(enter=None)
... | normal | {
"blob_id": "07a0ba3ded8a2d4a980cfb8e3dbd6fd491ea24b0",
"index": 1842,
"step-1": "<mask token>\n\n\nclass survey:\n <mask token>\n\n\nclass index:\n\n def GET(self):\n i = web.input(enter=None)\n date = datetime.datetime.now().ctime()\n hour = datetime.datetime.now().hour\n retu... | [
3,
4,
5,
7,
8
] |
from twindb_backup.copy.binlog_copy import BinlogCopy
from twindb_backup.status.binlog_status import BinlogStatus
def test_get_latest_backup(raw_binlog_status):
instance = BinlogStatus(raw_binlog_status)
assert instance.get_latest_backup() == BinlogCopy(host='master1', name=
'mysqlbin005.bin', created... | normal | {
"blob_id": "0dc556336cee9e5f41c036c6fcf6da950216693c",
"index": 5910,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_get_latest_backup(raw_binlog_status):\n instance = BinlogStatus(raw_binlog_status)\n assert instance.get_latest_backup() == BinlogCopy(host='master1', name=\n 'm... | [
0,
1,
2
] |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2017-08-26 21:31
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('exchange', '0004_auto_20170826_2120'),
]
operations = [
migrations.AlterMod... | normal | {
"blob_id": "264896da4d92797b9f31e28c19a2e315efff815a",
"index": 138,
"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 = [('exchange', '... | [
0,
1,
2,
3,
4
] |
from django import template
from ..models import Article
# 得到django 负责管理标签和过滤器的类
register = template.Library()
@register.simple_tag
def getlatestarticle():
latearticle = Article.objects.all().order_by("-atime")
return latearticle | normal | {
"blob_id": "804c75b3ab0b115e5187d44e4d139cfb553269a9",
"index": 6791,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@register.simple_tag\ndef getlatestarticle():\n latearticle = Article.objects.all().order_by('-atime')\n return latearticle\n",
"step-3": "<mask token>\nregister = template.Li... | [
0,
1,
2,
3,
4
] |
import pytest
import problem22 as p22
def test_burst():
"""Test burst() in Cluster"""
print('\nTesting burst()')
cluster = p22.Cluster('..#\n#..\n...')
assert cluster.infected[p22.Position(0, 2)] == p22.State.Infected
assert cluster.infected[p22.Position(1, 0)] == p22.State.Infected
assert clus... | normal | {
"blob_id": "f0a3778e74d113a5de778fa17ec321c6680c56c2",
"index": 1143,
"step-1": "<mask token>\n\n\ndef test_burst_evolved():\n \"\"\"Test burst() in EvolvedCluster\"\"\"\n cluster = p22.EvolvedCluster('..#\\n#..\\n...')\n assert cluster.infected[p22.Position(0, 2)] == p22.State.Infected\n assert clu... | [
4,
5,
6,
7,
8
] |
# a little more thing to be done.
def eval_loop():
while True:
s = input('Please input: ')
if s != 'done':
print(eval(s))
else:
break
eval_loop() | normal | {
"blob_id": "80969de6924ae5fe6bb8e7f1211e7aca28c63989",
"index": 2615,
"step-1": "<mask token>\n",
"step-2": "def eval_loop():\n while True:\n s = input('Please input: ')\n if s != 'done':\n print(eval(s))\n else:\n break\n\n\n<mask token>\n",
"step-3": "def eval... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
"""
This is a simple sample for seuif.py
License: this code is in the public domain
Author: Cheng Maohua
Email: cmh@seu.edu.cn
Last modified: 2016.4.20
"""
from seuif97 import *
import matplotlib.pyplot as plt
import numpy as np
p1,t1 = 16, 535
p2,t2 = 3.56,315
h1 = pt2h(p1, t1)
s1 = ... | normal | {
"blob_id": "ebe546794131eddea396bd6b82fbb41aeead4661",
"index": 572,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nplt.plot(point_p1_s, point_p1_h, 'bs-')\nplt.plot(point_p2_s, point_p2_h, 'bs-')\nplt.plot(point_is_s, point_is_h, 'ys-')\nplt.plot(point_hp_s, point_hp_h, 'rs-', label='Expansion Line')\n... | [
0,
1,
2,
3,
4
] |
"""
COMPARISON OPERATORS
"""
__author__ = 'Sol Amour - amoursol@gmail.com'
__twitter__ = '@solamour'
__version__ = '1.0.0'
greaterThan = 10 > 5 # Is '10' greater than '5' ? Evaluates to True
greaterThanOrEqualTo = 10 >= 10 # Is '10' greater than or equal to '10'
# ? Evaluates to True
lessThan = 5 < 10 # Is '5' les... | normal | {
"blob_id": "3b737aaa820da8f70a80480c6404e4d3a9d2262e",
"index": 5602,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n__author__ = 'Sol Amour - amoursol@gmail.com'\n__twitter__ = '@solamour'\n__version__ = '1.0.0'\ngreaterThan = 10 > 5\ngreaterThanOrEqualTo = 10 >= 10\nlessThan = 5 < 10\nlessThanOrEqualT... | [
0,
1,
2
] |
'''
Created on Dec 2, 2013
A reference entity implementation for Power devices
that can be controlled via RF communication.
@author: rycus
'''
from entities import Entity, EntityType
from entities import STATE_UNKNOWN, STATE_OFF, STATE_ON
from entities import COMMAND_ON, COMMAND_OFF
class GenericPower(Entity):
... | normal | {
"blob_id": "18e76df1693d4fc27620a0cf491c33197caa5d15",
"index": 4055,
"step-1": "<mask token>\n\n\nclass GenericPower(Entity):\n <mask token>\n\n def __init__(self, unique_id, entity_type=EntityType.find(100), name=\n 'Unnamed entity', state=STATE_UNKNOWN, state_value=None, last_checkin=0\n ... | [
5,
6,
7,
8,
9
] |
#!/usr/bin/python
import glob
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import time
import seaborn as sns
import os
from pathlib import Path
#import math
#functions related to elasticity of WLC
def f1(l,lp, kbt):
return kbt/lp*(1./(4*(1.-l)*(1.-l))-.25+l)
def derf1(l,lp,kbt):
return k... | normal | {
"blob_id": "9817600759bc01e89f6c48bdc2d256651aedf74d",
"index": 1788,
"step-1": "<mask token>\n\n\ndef derf1(l, lp, kbt):\n return kbt / lp * (0.5 / ((1.0 - l) * (1.0 - l) * (1.0 - l)) + 1.0)\n\n\ndef xdefWLC(kbt, l, p, f):\n l0 = 0.9999\n lnew = l0 - (f1(l0, p, kbt) - f) / derf1(l0, p, kbt)\n if ab... | [
4,
6,
7,
8,
9
] |
import keras
from keras.applications import VGG16
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Model
import matplotlib.pyplot as plt
from keras.callbacks import History
import numpy as np
import os
import cPickle as pickle
import scipy
from scipy import spatial
def getM... | normal | {
"blob_id": "461b2de86907047df53c3857c6b0397e77de3fcd",
"index": 5139,
"step-1": "import keras\r\nfrom keras.applications import VGG16\r\nfrom keras.preprocessing.image import ImageDataGenerator\r\nfrom keras.models import Model\r\nimport matplotlib.pyplot as plt\r\nfrom keras.callbacks import History\r\nimport ... | [
0
] |
import re
with open('input.txt') as f:
input_file = f.readlines()
input_file = [x.strip() for x in input_file]
def check_passport(text):
arr = text.split()
dct = {}
for elem in arr:
key = elem.split(":")[0]
val = elem.split(":")[1]
dct[key] = val
try:
if len(dc... | normal | {
"blob_id": "166329c967e83806e3482179a56ac7e5541d5010",
"index": 1589,
"step-1": "<mask token>\n\n\ndef check_passport(text):\n arr = text.split()\n dct = {}\n for elem in arr:\n key = elem.split(':')[0]\n val = elem.split(':')[1]\n dct[key] = val\n try:\n if len(dct['byr'... | [
1,
2,
3,
4,
5
] |
import time
import os
import random
def generate_sequence(difficulty):
print("Try to remember the numbers! : ")
random_list = random.sample(range(1, 101), difficulty)
time.sleep(2)
print(random_list)
time.sleep(0.7)
os.system('cls')
time.sleep(3)
return random_list
def get_list_from_... | normal | {
"blob_id": "bff9fb50f1901094c9ab3d61566509835c774f21",
"index": 6776,
"step-1": "<mask token>\n\n\ndef is_list_equal(a, b):\n if a == b:\n print('CORRECT answer! :) ')\n time.sleep(2)\n print('See you next time !')\n time.sleep(3)\n return True\n else:\n print('Th... | [
2,
3,
4,
5,
6
] |
# -*- coding: utf-8 -*-
"""
Created on Mon Jul 8 11:51:49 2019
@author: Christian Post
"""
# TODO: row index as an attribute of Data?
# make iterrows return a row object to access column names for each row
import csv
import os
import datetime
def euro(number):
return f'{number:.2f} €'.replace(... | normal | {
"blob_id": "8db952ba5bf42443da89f4064caf012036471541",
"index": 2307,
"step-1": "<mask token>\n\n\ndef euro(number):\n return f'{number:.2f} €'.replace('.', ',')\n\n\n<mask token>\n\n\nclass Data:\n\n def __init__(self, data=None, columns=[]):\n self.data = {}\n self.columns = columns\n ... | [
8,
10,
11,
12,
13
] |
"""
Python asyncio Protocol extension for TCP use.
"""
import asyncio
import logging
import socket
class TcpTestProtocol(asyncio.Protocol):
"""
Extension of asyncio protocol for TCP data
"""
def __init__(self, test_stream=None, no_delay=False, window=None, server=None):
"""
Initialize ... | normal | {
"blob_id": "9f0e286268732e8cabb028b7c84f5ba72a6e8528",
"index": 3068,
"step-1": "<mask token>\n\n\nclass TcpTestProtocol(asyncio.Protocol):\n <mask token>\n <mask token>\n\n @property\n def socket_id(self):\n \"\"\"Return socket id\"\"\"\n return self._sock_id\n\n def set_owner(self... | [
9,
11,
12,
13,
15
] |
#write a program that displays the wor "Hello!"
print("Hello!")
| normal | {
"blob_id": "b7a7941b3555b30ac7e743a5457df76f9eb7cb15",
"index": 9714,
"step-1": "<mask token>\n",
"step-2": "print('Hello!')\n",
"step-3": "#write a program that displays the wor \"Hello!\"\n\nprint(\"Hello!\")\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
# Author: Andreas Francois Vermeulen
print("CrawlerSlaveYoke")
print("CSY-000000023.py")
| normal | {
"blob_id": "322795bce189428823c45a26477555052c7d5022",
"index": 8933,
"step-1": "<mask token>\n",
"step-2": "print('CrawlerSlaveYoke')\nprint('CSY-000000023.py')\n",
"step-3": "# Author: Andreas Francois Vermeulen\nprint(\"CrawlerSlaveYoke\")\nprint(\"CSY-000000023.py\")\n",
"step-4": null,
"step-5": nu... | [
0,
1,
2
] |
# Given two binary trees, write a function to check if they are equal or not.
#
# Two binary trees are considered equal if they are structurally identical and the nodes have the same value.
#
# Return 0 / 1 ( 0 for false, 1 for true ) for this problem
#
# Example :
#
# Input :
#
# 1 1
# / \ / \
# 2 3 ... | normal | {
"blob_id": "4a0eca90de3ce7fb0ab6decb0ec6aadb32c1a9fa",
"index": 601,
"step-1": "<mask token>\n\n\nclass Solution:\n\n def solution(self, rootA, rootB):\n if rootA == rootB:\n print('h')\n return True\n if rootA is None or rootB is None:\n return False\n r... | [
2,
3,
4,
5,
6
] |
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import time
n=int(input("Enter the number of votes : "))
print()
p... | normal | {
"blob_id": "0e2b4e8e8c5a728e5123dfa704007b0f6adaf1e1",
"index": 4561,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint()\n<mask token>\ndriver.get('https://strawpoll.com/jhzd6qwjw')\nfor i in range(0, n + 1):\n driver.delete_all_cookies()\n try:\n button = WebDriverWait(driver, 10).unti... | [
0,
1,
2,
3,
4
] |
import os
from flask import Flask
# from flask_login import LoginManager
from flask_sqlalchemy import SQLAlchemy
# from flask_bcrypt import Bcrypt
from flask_wtf.csrf import CSRFProtect
app = Flask(__name__)
csrf = CSRFProtect(app)
# bcrypt = Bcrypt(app)
app.config['SECRET_KEY'] = 'v\xf9\xf7\x11\x13\x18\xfaMYp\xed_\x... | normal | {
"blob_id": "24c9b562411a63f0d3f2ee509bb60dafe7fbecd1",
"index": 373,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napp.config.from_object(__name__)\n<mask token>\n",
"step-3": "<mask token>\napp = Flask(__name__)\ncsrf = CSRFProtect(app)\napp.config['SECRET_KEY'] = 'vù÷\\x11\\x13\\x18úMYpí_èÉw\\x06\\... | [
0,
1,
2,
3,
4
] |
#
# PySNMP MIB module SYSLOG-TC-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/SYSLOG-TC-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 20:31:53 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 201... | normal | {
"blob_id": "46cdea08cab620ea099ad7fa200782717249b91b",
"index": 6741,
"step-1": "<mask token>\n\n\nclass SyslogSeverity(TextualConvention, Integer32):\n reference = 'The Syslog Protocol (RFC5424): Table 2'\n status = 'current'\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleVal... | [
2,
4,
5,
6,
7
] |
'''
Generate a ten-character alphanumeric password with at least one lowercase,
at least one uppercase character, and at least three digits
'''
import secrets
import string
alphabets = string.ascii_letters + string.digits
while True:
password = "".join(secrets.choice(alphabets) for i in range(10))
if(a... | normal | {
"blob_id": "0c283cd31203291da24226a0eae781bd397e84d4",
"index": 9526,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile True:\n password = ''.join(secrets.choice(alphabets) for i in range(10))\n if any(c.islower() for c in password) and any(c.isupper() for c in password\n ) and sum(c.isd... | [
0,
1,
2,
3,
4
] |
from rest_framework import serializers
from books.models import Genres, Format, Book, Review, ExtraTableForPrice
class GenresSerializer(serializers.ModelSerializer):
class Meta:
model = Genres
fields = ('title', )
class PriceSerializer(serializers.ModelSerializer):
class Meta:
model... | normal | {
"blob_id": "9c50a3abd353d5ba619eaa217dcc07ab76fb850c",
"index": 2519,
"step-1": "<mask token>\n\n\nclass BookSerializer(serializers.ModelSerializer):\n\n\n class Meta:\n model = Book\n fields = '__all__'\n\n def create(self, validated_data):\n formats = validated_data.pop('format', []... | [
9,
11,
12,
13,
14
] |
from time import sleep
import requests
import json
import pymysql
db = pymysql.connect(host="localhost", user="root", password="root", db="xshop", port=33061)
def getCursor():
cursor = db.cursor()
return cursor
class Classify(object):
def __init__(self, **args):
self.cl_name = args['cl_name']
... | normal | {
"blob_id": "6d51a088ba81cfc64c2e2a03f98b0ee354eda654",
"index": 4292,
"step-1": "<mask token>\n\n\ndef getCursor():\n cursor = db.cursor()\n return cursor\n\n\nclass Classify(object):\n\n def __init__(self, **args):\n self.cl_name = args['cl_name']\n self.cl_grade = args['cl_grade'] is No... | [
7,
8,
9,
10,
12
] |
from flask import Flask, jsonify, request, render_template
from werkzeug import secure_filename
import os
from utils import allowed_file, convert_html_to_pdf, convert_doc_to_pdf
app = Flask(__name__)
@app.route('/', methods=['GET'])
def index():
""" Renders Index.html """
try:
return render_template... | normal | {
"blob_id": "860f77b031c815df40a16669dae8d32af4afa5bf",
"index": 868,
"step-1": "<mask token>\n\n\n@app.route('/', methods=['GET'])\ndef index():\n \"\"\" Renders Index.html \"\"\"\n try:\n return render_template('index.html')\n except Exception as e:\n print('Exception Occurred', e)\n ... | [
2,
3,
4,
5,
6
] |
import random
import numpy as np
import matplotlib.pyplot as plt
import torchvision
def plot_image(img, ax, title):
ax.imshow(np.transpose(img, (1,2,0)) , interpolation='nearest')
ax.set_title(title, fontsize=20)
def to_numpy(image, vsc):
return torchvision.utils.make_grid(
image.view(1, vsc.c... | normal | {
"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
] |
from rest_framework.urlpatterns import format_suffix_patterns
from django.urls import path
from external_api import views
urlpatterns = [path('darksky/', views.DarkSkyView.as_view())]
urlpatterns = format_suffix_patterns(urlpatterns)
| normal | {
"blob_id": "e40f0a25d0c02f36c254e630133dc1fb11f29d4d",
"index": 8156,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [path('darksky/', views.DarkSkyView.as_view())]\nurlpatterns = format_suffix_patterns(urlpatterns)\n",
"step-3": "from rest_framework.urlpatterns import format_suffix_patt... | [
0,
1,
2
] |
import PyPDF2
from pathlib import Path
def get_filenames():
"""
Get PDF files not yet reordered in the current directory
:return: list of PDF file names
"""
filenames = []
for filename in Path('.').glob('*.pdf'):
if 'reordered' not in filename.stem:
filenames.append(filenam... | normal | {
"blob_id": "2b3a42fed98b43cdd78edd751b306ba25328061a",
"index": 8652,
"step-1": "<mask token>\n\n\ndef appendix_and_index_pages():\n \"\"\"\n Prompt user to input appendix pages (if one exists) and index pages\n :return: start and end pages of the appendix and index\n \"\"\"\n\n def index_pages()... | [
2,
5,
7,
8,
9
] |
import os.path
import bcolz
import numpy as np
import zmq
context = zmq.Context()
socket = context.socket(zmq.REP)
socket.bind("tcp://*:5555")
if not os.path.exists('db'):
print("db not found, creating")
ct = bcolz.ctable([np.empty(0, dtype="i8")],
names=['data'],
... | normal | {
"blob_id": "71ac7240287b83be6ec1f2d98e3ee531a8a219e0",
"index": 9879,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsocket.bind('tcp://*:5555')\nif not os.path.exists('db'):\n print('db not found, creating')\n ct = bcolz.ctable([np.empty(0, dtype='i8')], names=['data'], rootdir='db')\nelse:\n ... | [
0,
1,
2,
3,
4
] |
def check_orthogonal(u, v):
return u.dot(v) == 0
def check_p():
import inspect
import re
local_vars = inspect.currentframe().f_back.f_locals
return len(re.findall("p\\s*=\\s*0", str(local_vars))) == 0
| normal | {
"blob_id": "36e538ca7fbdbf6e2e6ca1ae126e4e75940bb5cd",
"index": 4316,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef check_p():\n import inspect\n import re\n local_vars = inspect.currentframe().f_back.f_locals\n return len(re.findall('p\\\\s*=\\\\s*0', str(local_vars))) == 0\n",
"... | [
0,
1,
2,
3
] |
from django.urls import path, re_path
from .views import *
app_name = 'articles'
urlpatterns = [
path('',articles_list,name='list'),
path('create', create_article, name='create'),
path('<slug:slug>', article_detail,name='detail'),
] | normal | {
"blob_id": "1c222f42c5c0178f97391f1bdc60bba110f3d118",
"index": 9866,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napp_name = 'articles'\nurlpatterns = [path('', articles_list, name='list'), path('create',\n create_article, name='create'), path('<slug:slug>', article_detail,\n name='detail')]\n"... | [
0,
1,
2,
3
] |
from __future__ import absolute_import
from talin.quotations import register_xpath_extensions
def init():
register_xpath_extensions()
| normal | {
"blob_id": "c218428908c28a8c65bd72e66dcddaf7db1909d7",
"index": 4325,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef init():\n register_xpath_extensions()\n",
"step-3": "from __future__ import absolute_import\nfrom talin.quotations import register_xpath_extensions\n\n\ndef init():\n regi... | [
0,
1,
2
] |
import numpy
import multiprocessing
from functools import partial
from textutil.text import read_file
from textutil.util import B
import mmap
import tqdm
class Growable(object):
def __init__(self, capacity=1024, dtype=numpy.uint32, grow=2):
self.grow = grow
self.capacity=capacity
self.dty... | normal | {
"blob_id": "8a2fe83ab1adae7de94eb168290ce4843ab39fe1",
"index": 9476,
"step-1": "<mask token>\n\n\nclass Growable(object):\n\n def __init__(self, capacity=1024, dtype=numpy.uint32, grow=2):\n self.grow = grow\n self.capacity = capacity\n self.dtype = dtype\n self.arr = numpy.empty... | [
5,
6,
7,
9,
10
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
config = {
'name': 'beziers',
'author': 'Simon Cozens',
'author_email': 'simon@simon-cozens.org',
'url': 'https://github.com/simoncozens/beziers.py',
'description': 'Bezier curve manipulation library',
'lo... | normal | {
"blob_id": "98ddf0be2c38cd9b10dfa9cc09f53907b34c1287",
"index": 7728,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n setup(**config)\n",
"step-3": "<mask token>\nconfig = {'name': 'beziers', 'author': 'Simon Cozens', 'author_email':\n 'simon@simon-cozens.org', 'url':... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'main.ui'
#
# Created by: PyQt5 UI code generator 5.14.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWindo... | normal | {
"blob_id": "2d503c93160b6f44fba2495f0ae0cf9ba0eaf9d6",
"index": 8930,
"step-1": "<mask token>\n\n\nclass Ui_MainWindow(object):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Ui_MainWindow(object):\n <mask token>\n\n def retranslateUi(self, MainWindow):\n _translate = ... | [
1,
2,
3,
4,
5
] |
s = input()
ans = 0
t = 0
for c in s:
if c == "R":
t += 1
else:
ans = max(ans, t)
t = 0
ans = max(ans, t)
print(ans)
| normal | {
"blob_id": "85c97dfeb766f127fa51067e5155b2da3a88e3be",
"index": 4811,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor c in s:\n if c == 'R':\n t += 1\n else:\n ans = max(ans, t)\n t = 0\n<mask token>\nprint(ans)\n",
"step-3": "s = input()\nans = 0\nt = 0\nfor c in s:\n ... | [
0,
1,
2,
3
] |
#!/usr/bin/env python3
""" brightness an image"""
import tensorflow as tf
def change_brightness(image, max_delta):
"""brightness an image"""
img = tf.image.adjust_brightness(image, max_delta)
return img
| normal | {
"blob_id": "07e068dbc1ba1bcb85121ee49f2f9337cae188ba",
"index": 9388,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef change_brightness(image, max_delta):\n \"\"\"brightness an image\"\"\"\n img = tf.image.adjust_brightness(image, max_delta)\n return img\n",
"step-3": "<mask token>\nim... | [
0,
1,
2,
3
] |
# Problem statement here: https://code.google.com/codejam/contest/975485/dashboard#s=p0
# set state of both bots
# for instruction i
# look at this instruction to see who needs to press their button now
# add walk time + 1 to total time
# decriment walk time of other bot by walk time +1 of current bot (rectif... | normal | {
"blob_id": "d1944493b7f3e74462ca0163a8c0907e4976da06",
"index": 4806,
"step-1": "<mask token>\n\n\ndef other_bot(bot_name):\n if bot_name == 'O':\n return 'B'\n else:\n return 'O'\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef solve_sequence(seq):\n O_init_walk_time = 0\n B_i... | [
1,
3,
4,
5,
6
] |
import helpers
import os
import os.path
import json
import imp
import source.freesprints
from pygame.locals import *
class PluginLoader:
available_plugins = None
def __init__(self):
self.checkAvailablePlugins()
def checkAvailablePlugins(self):
print helpers.pluginsPath()
... | normal | {
"blob_id": "639669174435492f43bf51680c2724863017e9d2",
"index": 527,
"step-1": "import helpers\nimport os\nimport os.path\nimport json\nimport imp\nimport source.freesprints\nfrom pygame.locals import *\n\nclass PluginLoader:\n available_plugins = None\n \n def __init__(self):\n self.checkAvaila... | [
0
] |
from django.urls import path
from main.views import IndexView, BuiltinsView, CustomView
app_name = 'main'
urlpatterns = [path('', IndexView.as_view(), name='index'), path(
'builtins/', BuiltinsView.as_view(), name='builtins'), path('custom/',
CustomView.as_view(), name='custom')]
| normal | {
"blob_id": "7b527f9ec66ddf35f3395d78c857c021975402c7",
"index": 5141,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napp_name = 'main'\nurlpatterns = [path('', IndexView.as_view(), name='index'), path(\n 'builtins/', BuiltinsView.as_view(), name='builtins'), path('custom/',\n CustomView.as_view(),... | [
0,
1,
2
] |
"""empty message
Revision ID: 3e4ee9eaaeaa
Revises: 6d58871d74a0
Create Date: 2016-07-25 15:30:38.008238
"""
# revision identifiers, used by Alembic.
revision = '3e4ee9eaaeaa'
down_revision = '6d58871d74a0'
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - ... | normal | {
"blob_id": "db49313d2bc8b9f0be0dfd48c6065ea0ab3294cb",
"index": 4032,
"step-1": "<mask token>\n\n\ndef downgrade():\n op.drop_index(op.f('ix_account_sub_int'), table_name='account')\n op.drop_index(op.f('ix_account_mac'), table_name='account')\n op.drop_index(op.f('ix_account_interface'), table_name='a... | [
1,
2,
3,
4,
5
] |
import argparse
import datetime
import json
import os
import sys
import hail as hl
from .utils import run_all, run_pattern, run_list, RunConfig
from .. import init_logging
def main(args):
init_logging()
records = []
def handler(stats):
records.append(stats)
data_dir = args.data_dir or os.... | normal | {
"blob_id": "d4625dd743dd6648044e40b02743ae80f4caea36",
"index": 9572,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main(args):\n init_logging()\n records = []\n\n def handler(stats):\n records.append(stats)\n data_dir = args.data_dir or os.environ.get('HAIL_BENCHMARK_DIR'\n ... | [
0,
1,
2,
3,
4
] |
# encoding: utf-8
from SpiderTools.tool import platform_system
from SpidersLog.file_handler import SafeFileHandler
from Env.parse_yaml import FileConfigParser
from Env import log_variable as lv
from staticparm import root_path
from SpiderTools.tool import get_username
import logging
import logging.handlers
import trace... | normal | {
"blob_id": "63001128d9cb934d6f9d57db668a43ba58f4ece3",
"index": 1679,
"step-1": "<mask token>\n\n\nclass ICrawlerLog:\n <mask token>\n\n def __init__(self, name, logger=None):\n self.logger = logger\n self.name = name\n\n @property\n def save(self, *args, **kwargs):\n \"\"\"\n ... | [
3,
4,
5,
6,
7
] |
from django.core.management.base import BaseCommand, CommandError
class Command(BaseCommand):
help = 'Closes the specified poll for voting'
def add_arguments(self, parser):
# Positional arguments
parser.add_argument('poll_id', nargs='+', type=int)
# Named (optional arguments)
... | normal | {
"blob_id": "b2d5b16c287dc76a088f6e20eca4a16dd0aad00f",
"index": 8797,
"step-1": "<mask token>\n\n\nclass Command(BaseCommand):\n <mask token>\n <mask token>\n\n def handle(self, *args, **options):\n s = ''\n result = 0\n tag = sum([options[i] for i in ['add', 'substract', 'multiply... | [
2,
3,
4,
5,
6
] |
# -*- 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
] |
""" Benchmark module: can also compare multiple functions
"""
import gc
from inspect import (
signature,
getsourcelines
)
from operator import itemgetter
from time import perf_counter
from SpeedIT.ProjectErr import Err
from SpeedIT.Utils import (
format_time,
get_table_rst_formatted_lines
)
def _helper_... | normal | {
"blob_id": "b2d3ebe4b1ce8f6f0fde8495fb90542080b810ce",
"index": 1390,
"step-1": "<mask token>\n\n\nclass _TimeIT(object):\n <mask token>\n\n def __init__(self, func, args_list, kwargs_dict, setup_line_list,\n check_too_fast, run_sec, name, perf_counter_reference_time):\n \"\"\" Constructor. ... | [
4,
6,
7,
8,
9
] |
import json
from aioredis import Redis
from aiologger.loggers.json import ExtendedLogRecord
from aiologger.handlers.base import Handler
from app.core import config
class RedisHandler(Handler):
def __init__(
self,
redis_client,
key=f"{config.APP_NAME}-log",
*args,
**kwargs... | normal | {
"blob_id": "fe581ca8176fed01309f0d852f72564863aa0895",
"index": 8413,
"step-1": "<mask token>\n\n\nclass RedisHandler(Handler):\n <mask token>\n <mask token>\n\n async def emit(self, record: ExtendedLogRecord) ->None:\n await self.redis_client.rpush(self.key, self.format(record))\n\n async de... | [
2,
3,
4,
5,
6
] |
#!/usr/bin/env python
# https://github.com/git/git/blob/master/Documentation/githooks.txt#L181
# This hook is called by 'git push' and can be used to prevent a push from taking
# place. The hook is called with two parameters which provide the name and
# location of the destination remote, if a named remote is not bei... | normal | {
"blob_id": "eabc81cacacc40d55234b60927b17069980a08f8",
"index": 7245,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsys.argv.extend(sys.stdin.read().split())\n<mask token>\nif len(sys.argv) > 3:\n local_ref = sys.argv[3]\n local_sha1 = sys.argv[4]\n remote_ref = sys.argv[5]\n remote_sha1 = ... | [
0,
1,
2,
3,
4
] |
###############################################################
# Yolanda Gunter
# Lab 4
# My program uses decisions, repetition, functions, files, lists
# and exception handling that will get the input from a file to
# run program that asks User for current date, reads a contact file
# list that contains... | normal | {
"blob_id": "661f94f5770df1026352ee344d0006466662bb3c",
"index": 2537,
"step-1": "def main():\n try:\n contacts = open('contactsLab4.txt', 'r')\n names = []\n birthdates = []\n name = contacts.readline()\n while name != '':\n names.append(name.rstrip('\\n'))\n ... | [
2,
3,
4,
6,
7
] |
"""
___________________________________________________
| _____ _____ _ _ _ |
| | __ \ | __ (_) | | | |
| | |__) |__ _ __ __ _ _ _| |__) || | ___ | |_ |
| | ___/ _ \ '_ \ / _` | | | | ___/ | |/ _ \| __| |
| | | | __/ | | | (_| | |_| | | | | |... | normal | {
"blob_id": "81f49c55edff7678e9d1745e39a8370e2c31c9ea",
"index": 8850,
"step-1": "\"\"\"\n ___________________________________________________\n | _____ _____ _ _ _ |\n | | __ \\ | __ (_) | | | |\n | | |__) |__ _ __ __ _ _ _| |__) || | ___ | |_ |\... | [
0
] |
import json
import nltk
with open('posts.json', 'r') as infile:
posts = []
for line in infile:
posts.append(json.loads(line[0:len(line)-2]))
for post in posts:
print '\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n'
print '~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~... | normal | {
"blob_id": "2f15814d97708e33585ea6b45e89b5a5e69d82fe",
"index": 5694,
"step-1": "import json\nimport nltk\n\nwith open('posts.json', 'r') as infile:\n\tposts = []\n\tfor line in infile:\n\t\tposts.append(json.loads(line[0:len(line)-2]))\n\nfor post in posts:\n print '\\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~... | [
0
] |
import logging
import terrestrial.config as config
logger = logging.getLogger(f'{__name__}.common')
def health():
return 'OK', 200
def verify_token(token):
"""
Verifies Token from Authorization header
"""
if config.API_TOKEN is None:
logger.error('API token is not configured, auth will f... | normal | {
"blob_id": "167bd2c405171443c11fbd13575f8c7b20877289",
"index": 8470,
"step-1": "<mask token>\n\n\ndef health():\n return 'OK', 200\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef health():\n return 'OK', 200\n\n\ndef verify_token(token):\n \"\"\"\n Verifies Token from Authorization header\... | [
1,
2,
3,
4
] |
# fabric이 실행할 대상을 제어.
from fabric.api import *
AWS_EC2_01 = 'ec2-52-78-143-155.ap-northeast-2.compute.amazonaws.com' # Running
PROJECT_DIR = '/var/www/kamper'
APP_DIR = '%s/app' % PROJECT_DIR
"""
# the user to use for the remote commands
env.user = 'appuser'
# the servers where the commands are executed
env.ho... | normal | {
"blob_id": "98db990f406cc6815480cca33011c8b0b2ad67c7",
"index": 2343,
"step-1": "<mask token>\n\n\ndef deploy():\n print('deploying')\n pass\n",
"step-2": "<mask token>\n\n\ndef pack():\n local('git checkout')\n local('git commit -a -s -m \"Fabric Pack Commit\"')\n\n\ndef deploy():\n print('dep... | [
1,
2,
3,
4,
5
] |
input = """
t(Z) :- t0(Z).
t(Z) :- g(X,Y,Z), t(X), not t(Y).
t0(2).
g(5,1,3).
g(1,2,4).
g(3,4,5).
"""
output = """
t(Z) :- t0(Z).
t(Z) :- g(X,Y,Z), t(X), not t(Y).
t0(2).
g(5,1,3).
g(1,2,4).
g(3,4,5).
"""
| normal | {
"blob_id": "df5c79c79d827b6b3de7ceb4b1e3c652c8956346",
"index": 2620,
"step-1": "<mask token>\n",
"step-2": "input = \"\"\"\nt(Z) :- t0(Z).\nt(Z) :- g(X,Y,Z), t(X), not t(Y).\n\nt0(2).\ng(5,1,3).\ng(1,2,4).\ng(3,4,5).\n\n\"\"\"\noutput = \"\"\"\nt(Z) :- t0(Z).\nt(Z) :- g(X,Y,Z), t(X), not t(Y).\n\nt0(2).\ng(5... | [
0,
1
] |
# -*- coding: utf-8 -*-
"""MicroPython rotary encoder library."""
from machine import Pin
ENC_STATES = (0, -1, 1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, 1, -1, 0)
class Encoder(object):
def __init__(self, pin_x='P4', pin_y='P5', pin_mode=Pin.PULL_UP,
scale=1, min=0, max=100, reverse=False):
s... | normal | {
"blob_id": "1406b2ab78b52823a8f455c8e2719f6bd84bd168",
"index": 822,
"step-1": "<mask token>\n\n\nclass Encoder(object):\n\n def __init__(self, pin_x='P4', pin_y='P5', pin_mode=Pin.PULL_UP, scale=\n 1, min=0, max=100, reverse=False):\n self.pin_x = pin_x if isinstance(pin_x, Pin) else Pin(pin_x... | [
7,
9,
10,
11,
12
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import torch
from torch import nn, autograd
import config
import time
import copy
import progressbar as pb
from dataset import TrainDataSet
from model import BiAffineSrlModel
from fscore import FScore
config.add_option('-m', '--mode', dest='mode', default='train... | normal | {
"blob_id": "038ccba05113fb7f2f589eaa7345df53cb59a5af",
"index": 18,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef train(num_epochs=30):\n lossfunction = nn.CrossEntropyLoss()\n trainset = TrainDataSet()\n model = BiAffineSrlModel(vocabs=trainset.vocabs)\n optimizer = torch.optim.Ada... | [
0,
1,
2,
3,
4
] |
from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
#import matplotlib.cbook as cbook
import Image
from matplotlib import _png
from matplotlib.offsetbox import OffsetImage
import scipy.io
import pylab
#for question 1 (my data)
def resample(ms,srate):
return int(round(ms/1000*srate))
de... | normal | {
"blob_id": "a81ee0a855c8a731bafe4967b776e3f93ef78c2a",
"index": 8908,
"step-1": "from __future__ import division\nimport numpy as np\nimport matplotlib.pyplot as plt\n#import matplotlib.cbook as cbook\nimport Image\nfrom matplotlib import _png\nfrom matplotlib.offsetbox import OffsetImage\nimport scipy.io\nimpo... | [
0
] |
#crfで英文に固有表現認識（タグ付け）をする
#usr/bin/python3
#coding:utf-8
from itertools import chain
from sklearn.metrics import classification_report, confusion_matrix
from sklearn.preprocessing import LabelBinarizer
import sklearn
import pycrfsuite
from sklearn import cross_validation
import sys
import os
import math
import random
d... | normal | {
"blob_id": "af9b83b6e213359f5e193918b6c09c22220e5457",
"index": 607,
"step-1": "<mask token>\n\n\ndef word2features(sent, i):\n word = sent[i][0]\n tag = sent[i][1]\n features = ['bias', 'word.lower=' + word.lower(), 'word[-3:]=' + word[-\n 3:], 'word[-2:]=' + word[-2:], 'word.isupper=%s' % word... | [
4,
5,
7,
8,
9
] |
import unittest
from unflatten import _path_tuples_with_values_to_dict_tree, dot_colon_join, dot_colon_split
from unflatten import _recognize_lists
from unflatten import _tree_to_path_tuples_with_values
from unflatten import brackets_join
from unflatten import flatten
from unflatten import unflatten
class BracketsRe... | normal | {
"blob_id": "5119b1b6817e002c870b4d6a19fe9aee661fff7e",
"index": 8425,
"step-1": "<mask token>\n\n\nclass RecognizeListsTestCase(unittest.TestCase):\n\n def test_simple(self):\n self.assertListEqual(_recognize_lists({(0): 'a', (1): {'b': -1, 'c':\n {(0): 'd', (1): -2}}}), ['a', {'b': -1, 'c'... | [
13,
17,
20,
21,
22
] |
############################################-############################################
################################ F I L E A U T H O R S ################################
# MIKE - see contacts in _doc_PACKAGE_DESCRIPTION
####################################### A B O U T #######################################... | normal | {
"blob_id": "58667da8898c2277ecc3d9d738d6553dd3416436",
"index": 7323,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef some_func():\n CFG.start_clock_module = datetime.datetime.now()\n LOG.write_me('\\tSTART - CLEAN.py (' + datetime.datetime.now().strftime(\n '%y-%m-%d | %H:%M') + ')'... | [
0,
1,
2,
3,
4
] |
from typing import *
class Solution:
def isValidSudoku(self, board: List[List[str]]) -> bool:
cells = {}
for i in range(9):
for j in range(9):
if board[i][j] != ".":
val = board[i][j]
# is unique in r... | normal | {
"blob_id": "57c911c9a10f9d116f1b7099c5202377e16050f1",
"index": 7871,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Solution:\n\n def isValidSudoku(self, board: List[List[str]]) ->bool:\n cells = {}\n for i ... | [
0,
1,
2,
3,
4
] |
#!python
import pdb
import argparse
import os
import re
import sys
import string
from utilpack import path
from subprocess import Popen
from subprocess import PIPE
def popen(cmd):
spl = cmd.split()
return Popen(spl, stdout=PIPE).communicate()[0]
def debug (s):
s
dists = 0
def get_setup_ini (setup_in... | normal | {
"blob_id": "e3b8bec0cc7df217052a3182f9a862f0e3622afd",
"index": 5318,
"step-1": "#!python\nimport pdb\nimport argparse\nimport os\nimport re\nimport sys\nimport string\nfrom utilpack import path\nfrom subprocess import Popen\nfrom subprocess import PIPE\n\n\ndef popen(cmd):\n spl = cmd.split()\n return Po... | [
0
] |
###############################################################
## File Name: 11_exercise.py
## File Type: Python File
## Author: surge55
## Course: Python 4 Everybody
## Chapter: Chapter 11 - Regular Expressions
## Excercise: n/a
## Description: Code walkthrough from book
## Other References: associated files... | normal | {
"blob_id": "860908126d473e6c4ed070992a1b518683fd4c27",
"index": 3275,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor line in hand:\n line = line.rstrip()\n x = re.findall('([0-9]+)', line)\n if len(x) > 0:\n for i in x:\n total += float(i)\nprint('sum is', int(total))\n",
... | [
0,
1,
2,
3,
4
] |
"""
Type data Dictionary hanya sekedar menghubungkan KEY dan VALUE
KVP = KEY VALUE PAIR
"""
kamus = {}
kamus['anak'] = 'son'
kamus['istri'] = 'wife'
kamus['ayah'] = 'father'
print(kamus)
print(kamus['ayah'])
print('\nData ini dikirimkan server gojek, memberikan info driver di sekitar pemakai aplikasi')
data_server_g... | normal | {
"blob_id": "67b101df690bbe9629db2cabf0060c0f2aad9722",
"index": 2389,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(kamus)\nprint(kamus['ayah'])\nprint(\n \"\"\"\nData ini dikirimkan server gojek, memberikan info driver di sekitar pemakai aplikasi\"\"\"\n )\n<mask token>\nprint(data_server_... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import json
import urllib2
# Es importante agregar la variable de ambiente:
# export PYTHONIOENCODING='UTF-8'
# para redireccionar la salida std a un archivo.
def call(url):
try:
request = urllib2.Request(url)
response = urllib2.urlopen(req... | normal | {
"blob_id": "c81fde7fb5d63233c633b8e5353fe04477fef2af",
"index": 4770,
"step-1": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\nimport sys\nimport json\nimport urllib2\n\n# Es importante agregar la variable de ambiente:\n# export PYTHONIOENCODING='UTF-8'\n# para redireccionar la salida std a un archivo.\n\nd... | [
0
] |
from flask_minify.utils import get_optimized_hashing
class MemoryCache:
def __init__(self, store_key_getter=None, limit=0):
self.store_key_getter = store_key_getter
self.limit = limit
self._cache = {}
self.hashing = get_optimized_hashing()
@property
def store(self):
... | normal | {
"blob_id": "ef5c51a5c706387b62ef3f40c7cadf7dbef6d082",
"index": 8671,
"step-1": "<mask token>\n\n\nclass MemoryCache:\n\n def __init__(self, store_key_getter=None, limit=0):\n self.store_key_getter = store_key_getter\n self.limit = limit\n self._cache = {}\n self.hashing = get_opt... | [
6,
7,
8,
9,
10
] |
#!/usr/bin/env python
"""
Power calculation based for admixture mapping.
@ref: Design and Analysis of admixture mapping studies, (2004).
@Author: wavefancy@gmail.com
Usage:
PowerCalculation.py -r aratio -n nhap
PowerCalculation.py -h | --help | -v | --version | -f | --format
Not... | normal | {
"blob_id": "7f9046582ff03d1c72d191a8f78c911cbc8a0650",
"index": 5907,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef ShowFormat():\n \"\"\"File format example\"\"\"\n print(\n \"\"\"\n #rfmix output, 3 person, 2 snps\n ------------------------\n1 1 2 1 2 2\n1 2 2 1 2 2\n\n ... | [
0,
1,
2,
3,
4
] |
import sys
sys.path.append('preprocess')
import matplotlib
matplotlib.use("TkAgg")
import matplotlib.pyplot as plt
from matplotlib.pyplot import savefig
import numpy as np
import refit_cfg
import os
import random
from sklearn.model_selection import train_test_split
name = ['WashingMachine', 'Kettle', 'Microwave', 'Fr... | normal | {
"blob_id": "30405a6f20a44b2252b6894ef6d0e818861702f8",
"index": 9857,
"step-1": "<mask token>\n\n\ndef align_process(house_id):\n data = np.load('data\\\\REFIT\\\\original_data\\\\%d.npy' % house_id)\n new_data = []\n current_index = 0\n current_time = int(data[0][0])\n end_time = int(data[-1][0]... | [
14,
15,
22,
23,
26
] |
'''
This file creates the model of Post, which maps to the post table in the mysql database.
The model Provider contains four attributes: author, title, content, and created time.
'''
from django.db import models
class Post(models.Model):
'''
The education post by provider database model
'''
author ... | normal | {
"blob_id": "4fa9c00a07c8263a6a3afd460b84f21637a771ec",
"index": 3081,
"step-1": "<mask token>\n\n\nclass Post(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __str__(self):\n return '{}'.format(self.title)\n",
"step-2": "<mask token>\n... | [
2,
3,
4,
5,
6
] |
a = input()
b = []
ind = []
for i in a:
if i.isalpha():
b.append(i)
else:
ind.append(a.index(i))
c = list(reversed(b))
for i in ind:
c.insert(i, a[i])
print(''.join(c))
| normal | {
"blob_id": "8fedaeb13fde117cf6b7ace23b59c26e4aab2bc2",
"index": 4492,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in a:\n if i.isalpha():\n b.append(i)\n else:\n ind.append(a.index(i))\n<mask token>\nfor i in ind:\n c.insert(i, a[i])\nprint(''.join(c))\n",
"step-3": "a ... | [
0,
1,
2
] |
from __future__ import unicode_literals
import json, alice_static
import logging
from random import choice
# Импортируем подмодули Flask для запуска веб-сервиса.
from flask import Flask, request
app = Flask(__name__)
logging.basicConfig(level=logging.DEBUG)
# Хранилище данных о сессиях.
sessionStorage = {}
# Задаем... | normal | {
"blob_id": "2df679fc3407c15f5d0c006e9da8d1fc74bcf875",
"index": 5705,
"step-1": "from __future__ import unicode_literals\nimport json, alice_static\nimport logging\nfrom random import choice\n# Импортируем подмодули Flask для запуска веб-сервиса.\nfrom flask import Flask, request\napp = Flask(__name__)\n\n\nlog... | [
0
] |
from coarsegrainparams import *
from inva_fcl_stab import *
from Eq import *
from Dynamics import *
from sympy import Matrix,sqrt
def construct_param_dict(params,K_RC,K_CP,m_P):
"""
Construct all the parameters from its relationships with body size and temperature, using the normalizing constants and scaling e... | normal | {
"blob_id": "99c12e925850fe7603831df5b159db30508f4515",
"index": 3832,
"step-1": "<mask token>\n\n\ndef construct_param_dict(params, K_RC, K_CP, m_P):\n \"\"\"\n Construct all the parameters from its relationships with body size and temperature, using the normalizing constants and scaling exponent w\n \... | [
5,
8,
9,
10,
11
] |
from datetime import datetime
from poop import objstore
class Comment(objstore.Item):
__typename__ = 'comment'
__table__ = 'comment'
relatesToId = objstore.column('relates_to_id')
relatesToVersion = objstore.column('relates_to_version')
posted = objstore.column()
approved = objstore.colum... | normal | {
"blob_id": "e398908ba74306c5a746d7643b38f08651cf92ec",
"index": 4205,
"step-1": "<mask token>\n\n\nclass Comment(objstore.Item):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, *a, **k):\n relatesTo = ... | [
2,
3,
4,
5,
6
] |
from Psql_Database_Setup import *
import requests, json
engine = create_engine('postgresql://myuser:mypass@localhost:5432/mydb')
Base.metadata.bind = engine
DBSession = sessionmaker(bind=engine)
session = DBSession()
response = requests.get("https://api.github.com/emojis")
response = json.loads(response.te... | normal | {
"blob_id": "0aa95b6a72472e8e260c07f4c42a327384ca0da4",
"index": 9173,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor key, value in response.items():\n Emoji = Emojis(name=key, url=value)\n session.add(Emoji)\n session.commit()\n",
"step-3": "<mask token>\nengine = create_engine('postgresq... | [
0,
1,
2,
3,
4
] |
# Generated by Django 3.0.4 on 2020-07-20 00:05
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('users', '0004_auto_20200720_0154'),
]
operations = [
migrations.DeleteModel(
name='Report',
),
migrations.AlterF... | normal | {
"blob_id": "98bc6e0552991d7de1cc29a02242b25e7919ef82",
"index": 3764,
"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 logging
from tqdm import tqdm
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
def create_tables(db_engine):
"""RUN SQL STATEMENTS TO CREATE TABLES"""
with db_engine.connect() as conn:
create_table_stmts = []
create_drugs_table = """
DROP TABLE IF EXISTS dr... | normal | {
"blob_id": "f4c3b6ee6389b31c6a280bf7cfe920a2791c1299",
"index": 4125,
"step-1": "<mask token>\n\n\ndef create_tables(db_engine):\n \"\"\"RUN SQL STATEMENTS TO CREATE TABLES\"\"\"\n with db_engine.connect() as conn:\n create_table_stmts = []\n create_drugs_table = \"\"\"\n DROP TABLE I... | [
1,
2,
3,
4,
5
] |
class Solution:
def merge(self, nums1, m, nums2, n):
"""
Do not return anything, modify nums1 in-place instead.
"""
if n == 0:
nums1 = nums1
if nums1[m-1] <= nums2[0]:
for i in range(n):
nums1[m+i] = nums2[i]
... | normal | {
"blob_id": "4f13e2858d9cf469f14026808142886e5c3fcc85",
"index": 28,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n\n\n<mask token>\n",
"step-3": "class Solution:\n\n def merge(self, nums1, m, nums2, n):\n \"\"\"\n Do not return anything, modify nums1 in-place ins... | [
0,
1,
2,
3,
4
] |
from sklearn import datasets, svm
import matplotlib.pyplot as plt
digits = datasets.load_digits()
X, y = digits.data[:-1], digits.target[:-1]
clf = svm.SVC(gamma=0.1, C=100)
clf.fit(X, y)
prediction = clf.predict(digits.data[-1:])
actual = digits.target[-1:]
print("prediction = " + str(prediction) + ", actual = " + ... | normal | {
"blob_id": "0d98472d1c04bfc52378aa6401a47d96582696a2",
"index": 4046,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nclf.fit(X, y)\n<mask token>\nprint('prediction = ' + str(prediction) + ', actual = ' + str(actual))\nplt.matshow(digits.images[-1])\nplt.show()\n",
"step-3": "<mask token>\ndigits = dat... | [
0,
1,
2,
3,
4
] |
# This file imports all files for this module for easy inclusions around the game.
from viewController import *
from navigationController import *
from noticer import *
from Images import *
from fancyButton import *
from constants import *
from textObject import *
from UIButton import *
# from spriteFromRect import ... | normal | {
"blob_id": "7168a8eb401478aa26ee9033262bb5c8fe33f186",
"index": 7011,
"step-1": "<mask token>\n",
"step-2": "from viewController import *\nfrom navigationController import *\nfrom noticer import *\nfrom Images import *\nfrom fancyButton import *\nfrom constants import *\nfrom textObject import *\nfrom UIButto... | [
0,
1,
2
] |
def sumIntervals(input):
interval = set()
if len(input) > 0:
for data in input:
if len(data) == 2 and data[0] < data[1]:
for i in range(data[0], data[1]):
interval.add(i)
else:
return 1
return len(interval)
else:
... | normal | {
"blob_id": "25434fccff4401df2cebc9b0c4d0231f056b4e81",
"index": 6346,
"step-1": "<mask token>\n",
"step-2": "def sumIntervals(input):\n interval = set()\n if len(input) > 0:\n for data in input:\n if len(data) == 2 and data[0] < data[1]:\n for i in range(data[0], data[1]... | [
0,
1,
2
] |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from cv2 import DualTVL1OpticalFlow_create as DualTVL1
from tensorflow.python.platform import flags
import os
import sys
sys.path.insert(0, '..')
from utils import image_funcs
import numpy as np
def make_di... | normal | {
"blob_id": "42a717591fb8fe480581d8996e9811d0292d0eb1",
"index": 7567,
"step-1": "<mask token>\n\n\ndef make_dir(directory):\n import os\n import errno\n try:\n os.makedirs(directory)\n except OSError as e:\n if e.errno != errno.EEXIST:\n raise\n\n\n<mask token>\n\n\ndef save... | [
3,
5,
6,
7,
8
] |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import xlrd
from enum import Enum
from sklearn import linear_model
from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler
import statsmodels.formula.api as smf
import statsmodels.api as sm
import statsmodels.formula.a... | normal | {
"blob_id": "a903f9c5cae1c2eb2f40dc8ba29f0625a3d34224",
"index": 9690,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef forward_selected(data, response):\n \"\"\"Linear model designed by forward selection.\n\n Parameters:\n -----------\n data : pandas DataFrame with all possible predict... | [
0,
2,
3,
4,
5
] |
import numpy as np
import os
pwd = os.path.dirname(os.path.realpath(__file__))
train_data = np.load(os.path.join(pwd, 'purchase2_train.npy'), allow_pickle
=True)
test_data = np.load(os.path.join(pwd, 'purchase2_test.npy'), allow_pickle=True)
train_data = train_data.reshape((1,))[0]
test_data = test_data.reshape((1,... | normal | {
"blob_id": "8c364a518ab615803ea99520e90ee1dd24d37a8c",
"index": 2524,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef load(indices, category='train'):\n if category == 'train':\n if max(indices) < len(X_train) and max(indices) < len(y_train):\n return X_train[indices], y_trai... | [
0,
1,
2,
3
] |
'''Чи можна в квадратному залі площею S помістити круглу сцену радіусом R так,
щоб від стіни до сцени був прохід не менше K?'''
from math import sqrt
s = int(input('Input your area of square (S): '))
r = int(input('Input your radius of scene (R): '))
k = int(input('Input your width of passage (K): '))
k2 = sqrt... | normal | {
"blob_id": "31a2fa5b2febc2ef80b57e45c2ebb662b886c4b7",
"index": 6043,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif k2 >= k:\n print(' Yes, the scene can be set.')\nelse:\n print(\" Sorry, but the scene can't be set.\")\n",
"step-3": "<mask token>\ns = int(input('Input your area of squ... | [
0,
1,
2,
3,
4
] |
from django.shortcuts import render, Http404, HttpResponse, redirect
from django.contrib.auth import authenticate, login
from website.form import UserForm
from django.contrib.auth.forms import UserCreationForm, AuthenticationForm
from website.models import UserProfile
from website.form import UserForm
import pandas as ... | normal | {
"blob_id": "d261efa72e1ab77507a1fd84aa2e462c6969af56",
"index": 6579,
"step-1": "<mask token>\n\n\ndef df_to_sql_T_1(filefullpath, sheet, row_name):\n excel_df = pd.read_excel(filefullpath, sheetname=sheet)\n excel_df = excel_df.dropna(how='all')\n excel_df = excel_df.dropna(axis=1, how='all')\n exc... | [
5,
6,
7,
8,
9
] |
import re
from prometheus_client.core import GaugeMetricFamily
class ArrayHardwareMetrics:
def __init__(self, fa):
self.fa = fa
self.chassis_health = None
self.controller_health = None
self.component_health = None
self.temperature = None
self.temperature = None
... | normal | {
"blob_id": "527d514cbad0916fecfe0da68de04d3b130d94c7",
"index": 5156,
"step-1": "<mask token>\n\n\nclass ArrayHardwareMetrics:\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass ArrayHardwareMetrics:\n\n def __init__(self, fa):\n self.fa = fa\n self.c... | [
1,
2,
3,
5,
6
] |
"""
CONVERT HOURS INTO SECONDS
Write a function that converts hours into seconds.
Examples:
- how_many_seconds(2) -> 7200
- how_many_seconds(10) -> 36000
- how_many_seconds(24) -> 86400
Notes:
- 60 seconds in a minute; 60 minutes in a hour.
- Don't forget to return your answer.
"""
"""
U.P.E... | normal | {
"blob_id": "34c7e6b6bc687bc641b7e3b9c70fd0844af8e340",
"index": 8969,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef how_many_seconds(hrs_int):\n secs_int = None\n if hrs_int > 0 and hrs_int is not None:\n secs_int = hrs_int * 60 * 60\n return secs_int\n else:\n rai... | [
0,
1,
2
] |
class Boundary():
def __init__(self, py5_inst, x1, y1, x2, y2):
self.py5 = py5_inst
self.a = self.py5.create_vector(x1, y1)
self.b = self.py5.create_vector(x2, y2)
def show(self):
self.py5.stroke(255)
self.py5.line(self.a.x, self.a.y, self.b.x, self.b.y)
| normal | {
"blob_id": "df00cc501b7b682cc1f4fbc9ae87a27984e6b5ef",
"index": 5424,
"step-1": "<mask token>\n",
"step-2": "class Boundary:\n <mask token>\n <mask token>\n",
"step-3": "class Boundary:\n <mask token>\n\n def show(self):\n self.py5.stroke(255)\n self.py5.line(self.a.x, self.a.y, se... | [
0,
1,
2,
3,
4
] |
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