code stringlengths 13 1.2M | order_type stringclasses 1
value | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
import functools
import re
import nltk.data
from nltk.corpus import stopwords
from nltk.probability import FreqDist
from nltk.tokenize import RegexpTokenizer
def clean(string):
string = re.sub(r"\'s", " \'s", string)
string = re.sub(r"\'ve", " \'ve", string)
string = re.sub(r"n\'t", " n\'t", string)
s... | normal | {
"blob_id": "837e84d4a58d8fd0d0ffc24973d196ae57f9a260",
"index": 1723,
"step-1": "<mask token>\n\n\ndef reorder_sentences(output_sentences, input):\n\n def custom_sort(s1, s2):\n return input.find(s1) - input.find(s2)\n output_sentences.sort(key=functools.cmp_to_key(custom_sort))\n return output_... | [
1,
4,
5,
6,
7
] |
# Generated by Django 3.1.2 on 2020-10-25 01:19
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('jobs', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='job',
name='link',
... | normal | {
"blob_id": "562888201719456ed2f3c32e81ffd7d2c39dabc3",
"index": 7303,
"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 = [('jobs', '000... | [
0,
1,
2,
3,
4
] |
#デフォルト引数の破壊
#以下、破壊的な操作
def sample(x, arg=[]):
arg.append(x)
return arg
print(sample(1))
print(sample(2))
print(sample(3))
#対策・・・デフォルト引数にはイミュータブルなものを使用する
def sample(x, arg=None):
if arg is None:
arg = []
arg.append(x)
return arg
print(sample(1))
print(sample(2))
pr... | normal | {
"blob_id": "1b645ab0a48b226e26009f76ea49fd3f10f5cc7b",
"index": 3880,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef sample(x, arg=None):\n if arg is None:\n arg = []\n arg.append(x)\n return arg\n\n\n<mask token>\n",
"step-3": "def sample(x, arg=[]):\n arg.append(x)\n re... | [
0,
1,
2,
3,
4
] |
import numpy as np
from Ejercicio1 import norma_l2
def sorting_l2(mat):
mat_l2 = norma_l2(mat)
mat_sort_index = np.argsort(mat_l2)
mat_sort_l2 = mat[mat_sort_index, :]
return mat_sort_l2[::-1]
| normal | {
"blob_id": "e280b003c95681ed4a887b0939077efeac9deefe",
"index": 1377,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef sorting_l2(mat):\n mat_l2 = norma_l2(mat)\n mat_sort_index = np.argsort(mat_l2)\n mat_sort_l2 = mat[mat_sort_index, :]\n return mat_sort_l2[::-1]\n",
"step-3": "impo... | [
0,
1,
2
] |
import torch
import torch.nn as nn
from torch.nn import functional as F
class FocalLoss1(nn.Module):
def __init__(self, alpha=0.25, gamma=2, reduction='mean', ignore_lb=255):
super().__init__()
self.alpha = alpha
self.gamma = gamma
self.reduction = reduction
self.ignore_lb ... | normal | {
"blob_id": "9e9303d58c7e091bf7432060fad292c16ecf85ee",
"index": 9280,
"step-1": "<mask token>\n\n\nclass FocalLoss(nn.Module):\n \"\"\"https://www.kaggle.com/c/human-protein-atlas-image-classification/discussion/78109\"\"\"\n\n def __init__(self, gamma=2):\n super().__init__()\n self.gamma =... | [
4,
6,
7,
8,
9
] |
# Generated by Django 2.2.5 on 2019-10-09 12:06
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import mptt.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MOD... | normal | {
"blob_id": "5485fe4f612ededc11e3a96dfd546e97a56cbe2a",
"index": 3316,
"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
] |
#!usr/bin/env python3
from argoverse.map_representation.map_api import ArgoverseMap
from frame import Frame
import matplotlib.pyplot as plt
import pickle
import numpy as np
from argo import draw_local_map
# Frames in cluster visualization
def frame_in_pattern_vis(xmin, xmax, ymin, ymax):
dataset = 'ARGO'
if ... | normal | {
"blob_id": "1284de6474e460f0d95f5c76d066b948bce59228",
"index": 5575,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef velocity_field_visualization(xmin, xmax, ymin, ymax):\n with open('data_sample/argo_MixtureModel_%d_%d_%d_%d' % (xmin, xmax,\n ymin, ymax), 'rb') as mix_np:\n mix... | [
0,
1,
2,
3,
4
] |
import numpy
d1 = numpy.array([1.,0.,0.])
d2 = numpy.array([0.,1.,0.])
d3 = numpy.array([0.,0.,1.])
s0 = numpy.array([0.,0.,1.])
m2 = numpy.array([1.,0.,0.])
print "x y zeta"
for x in xrange(-100, 101):
for y in xrange(-100, 101):
s = x*d1 + y*d2 + 100*d3
e1 = numpy.cross(s, s0)
e1 /= numpy.linalg.norm(... | normal | {
"blob_id": "3d16f2da03c067d410bec7bfe96d874322533d30",
"index": 6693,
"step-1": "import numpy\n\nd1 = numpy.array([1.,0.,0.])\nd2 = numpy.array([0.,1.,0.])\nd3 = numpy.array([0.,0.,1.])\ns0 = numpy.array([0.,0.,1.])\nm2 = numpy.array([1.,0.,0.])\n\nprint \"x y zeta\"\nfor x in xrange(-100, 101):\n for y in xra... | [
0
] |
# -*- coding: utf-8 -*-
from django.test import TestCase
from ..printer import Printer
class TestSunlumoProjectPrinter(TestCase):
def test_printer(self):
sl_prj = Printer('./sunlumo_mapserver/test_data/test_sunlumo.qgs')
tmpFile = '/tmp/printtmp'
sl_prj.printToPdf({
'tmpFile... | normal | {
"blob_id": "5e0cba6952cdc677c640a0df325426ffc89189cd",
"index": 658,
"step-1": "<mask token>\n\n\nclass TestSunlumoProjectPrinter(TestCase):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass TestSunlumoProjectPrinter(TestCase):\n\n def test_printer(self):\n sl_prj = Printer(... | [
1,
2,
3,
4,
5
] |
"""
pyautogui 屏幕像素获取、屏幕像素匹配
@author : zhouhuajian
@version : v1.0
"""
from pyautogui import pixel, pixelMatchesColor, screenshot
"""
主要内容：
1. pixel() - 获取屏幕像素；
2. pixelMatchesColor() - 屏幕像素匹配颜色。
"""
def test_pixel_pixelMatchesColor():
"""屏幕像素获取、屏幕像素匹配"""
# img = screenshot()
# print(img)
# print(i... | normal | {
"blob_id": "c15faf9df8fa2e1ad89ea2c922ab0551eaa69d3f",
"index": 1936,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_pixel_pixelMatchesColor():\n \"\"\"屏幕像素获取、屏幕像素匹配\"\"\"\n print(pixelMatchesColor(44, 107, (148, 212, 234), tolerance=20))\n print(pixelMatchesColor(44, 107, (100, 21... | [
0,
1,
2,
3,
4
] |
#-*- coding: UTF-8 -*-
import re
import time
import sys
import command.server.handle_utility as Utility
from ee.common import logger
from ee.common import xavier as Xavier1
sys.path.append('/opt/seeing/app/')
from b31_bp import xavier1 as Xavier2
global agv
agv=sys.argv[1]
Xavier=Xavier1
xavier_module = {"tcp:7801":Xa... | normal | {
"blob_id": "10e1756dc1d6c7b6b7e3569de78e9fa4cdfb0d7e",
"index": 7136,
"step-1": "<mask token>\n\n\ndef dac_voltage_set_handle(params):\n help_info = ('dac set(<channel>,<value>)$\\r\\n \\t channel(' +\n help_str +\n ')\\tvalue: (if ad5761: (0~10000) unit:mv,else :(0~5000) unit:mv) $\\r\\n'... | [
2,
3,
4,
5,
6
] |
# __author__ = 'Vasudev Gupta'
import tf_lightning as tl
import tensorflow as tf
class TestModel(tl.LightningModule):
# just a random model with random dataset
def __init__(self):
# simple test model
super().__init__()
self.model = tf.keras.Sequential([
tf.keras.layers.D... | normal | {
"blob_id": "f2397ba3fe1452238f251111f35b06b4a93e0359",
"index": 2441,
"step-1": "<mask token>\n\n\nclass TestModel(tl.LightningModule):\n <mask token>\n <mask token>\n <mask token>\n\n def training_step(self, batch, batch_idx, optimizer_idx):\n pred = self(batch)\n loss = tf.reduce_mea... | [
7,
11,
12,
14,
15
] |
# Create your views here.
from django.http import HttpResponse, HttpResponseRedirect
from django.template import Context, loader
from django.db import transaction
from django.db.models import Q
from maximus.models import Mercenary, Team, TeamMember, Tournament, TournamentTeam, TournamentMatchup, Matchup, MatchupStatis... | normal | {
"blob_id": "f66f82c5c2842fc4fcae2251d4a16a9850230041",
"index": 3547,
"step-1": "<mask token>\n\n\ndef edit_team(request):\n\n def get():\n team_id = request.GET['team']\n team = Team.objects.get(id=team_id)\n model = Context({'team': team})\n t = loader.get_template('edit_team.ht... | [
6,
7,
9,
10,
11
] |
from zope import schema
from zope import interface
from zope import component
from raptus.mailcone.rules_regex import _
from raptus.mailcone.rules import interfaces
class IRegexItem(interfaces.IConditionItem):
""" Interface for regex match filter
"""
regex = schema.TextLine(title=_('Regex'), required=True... | normal | {
"blob_id": "fe83b45bdc5970d63deab66b26b16752cd8ad8ef",
"index": 7241,
"step-1": "<mask token>\n\n\nclass IRegexItem(interfaces.IConditionItem):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass IRegexItem(interfaces.IConditionItem):\n <mask token>\n regex = sch... | [
1,
2,
3,
4
] |
from ._monitor import TMonitor as TMonitor, TqdmSynchronisationWarning as TqdmSynchronisationWarning
from ._tqdm_pandas import tqdm_pandas as tqdm_pandas
from .cli import main as main
from .gui import tqdm as tqdm_gui, trange as tgrange
from .std import TqdmDeprecationWarning as TqdmDeprecationWarning, TqdmExperimental... | normal | {
"blob_id": "25b7af2a8036f35a0bca665867d1729b7c9c113c",
"index": 5846,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef tnrange(*args, **kwargs):\n ...\n",
"step-3": "<mask token>\n\n\ndef tqdm_notebook(*args, **kwargs):\n ...\n\n\ndef tnrange(*args, **kwargs):\n ...\n",
"step-4": "fro... | [
0,
1,
2,
3
] |
import os
import telebot
bot = telebot.TeleBot(os.environ.get('TELEGRAM_ACCESS_TOCKEN', 'TOKEN'))
| normal | {
"blob_id": "ce7b7980d1e93f23e7e3ef048ddadc0c779ef9ce",
"index": 7981,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nbot = telebot.TeleBot(os.environ.get('TELEGRAM_ACCESS_TOCKEN', 'TOKEN'))\n",
"step-3": "import os\nimport telebot\nbot = telebot.TeleBot(os.environ.get('TELEGRAM_ACCESS_TOCKEN', 'TOKEN'... | [
0,
1,
2
] |
import unittest
from month import Month
class MonthUnitTests(unittest.TestCase):
def test_header(self):
cal = Month(5, 2012)
result = cal.header()
self.assertEqual(" May 2012", result)
def test_header_different_month(self):
cal = Month(3, 2012)
result = cal.header()
self.assertEqual(" March 20... | normal | {
"blob_id": "36c1d75171d772138b820651e11a3a7bc3a6521c",
"index": 8226,
"step-1": "<mask token>\n\n\nclass MonthUnitTests(unittest.TestCase):\n\n def test_header(self):\n cal = Month(5, 2012)\n result = cal.header()\n self.assertEqual(' May 2012', result)\n\n def test_header_differ... | [
13,
14,
15,
16,
17
] |
#------------------------------------------------------------
# Copyright 2016 Congduc Pham, University of Pau, France.
#
# Congduc.Pham@univ-pau.fr
#
# This file is part of the low-cost LoRa gateway developped at University of Pau
#
# This program is free software: you can redistribute it and/or modify
# it under the... | normal | {
"blob_id": "475cb57ce5fda0d0389bfa1b9b227a2147e1abde",
"index": 9389,
"step-1": "#------------------------------------------------------------\n# Copyright 2016 Congduc Pham, University of Pau, France.\n# \n# Congduc.Pham@univ-pau.fr\n#\n# This file is part of the low-cost LoRa gateway developped at University ... | [
0
] |
#!/usr/bin/python
import os
from base_exploit import *
from reporter import *
from netfw import *
import sys
class remote_shell(base_exploit):
id = EXPLOIT_ID_REMOTE_SHELL
def exploit(self, ip, port):
# Create a connection to requested destination
s = socket(AF_INET, SOCK_DGRAM)
s.con... | normal | {
"blob_id": "f19e853af675c16dfbb911bf2b756de0f1e3f2f8",
"index": 7189,
"step-1": "#!/usr/bin/python\n\nimport os\nfrom base_exploit import *\nfrom reporter import *\nfrom netfw import *\nimport sys\n\nclass remote_shell(base_exploit):\n id = EXPLOIT_ID_REMOTE_SHELL\n\n def exploit(self, ip, port):\n ... | [
0
] |
#!/usr/bin/python
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
setup(
name="isc-dhcpd-parser",
version="0.1",
description="Parser for isc-dhcp config files (dhcpd.conf)",
author="Pavel Podkorytov",
author_email="pod.pavel@gmail.com",
classifiers=[
... | normal | {
"blob_id": "79141679bb2839de9d4a25b6c6c285905dddbb0d",
"index": 6460,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsetup(name='isc-dhcpd-parser', version='0.1', description=\n 'Parser for isc-dhcp config files (dhcpd.conf)', author=\n 'Pavel Podkorytov', author_email='pod.pavel@gmail.com', class... | [
0,
1,
2,
3
] |
pokerAssignments = {'2': 20, '3': 30, '4': 40, '5': 50, '6': 60, '7': 70, '8': 80, '9': 90, 'T': 100, 'J': 110, 'Q': 120, 'K': 130, 'A': 140, 'C': 0, 'S': 1, 'H': 2, 'D': 3} #Used to assign each card to a unique three-digit integer
configScoring = {(1, 1): 0, (1, 2): 1, (2, 2): 2, (1, 3): 3, (2, 3): 6, (1, 4): 7} #Tra... | normal | {
"blob_id": "a2a3e8d52fd467178460b178c5dbf9ccd72706e7",
"index": 8251,
"step-1": "<mask token>\n\n\ndef initialize():\n hands_file = open('euler54_poker.txt')\n hands_string = hands_file.read()\n tempList = []\n newString = hands_string.replace('\\n', ' ').replace(' ', '')\n for i in range(0, len(... | [
6,
7,
8,
9,
10
] |
def simple_formatter(zipcode: str, address: str) ->str:
return f'{zipcode}は「{address}」です'
| normal | {
"blob_id": "b1dce573e6da81c688b338277af214838bbab9dd",
"index": 8649,
"step-1": "<mask token>\n",
"step-2": "def simple_formatter(zipcode: str, address: str) ->str:\n return f'{zipcode}は「{address}」です'\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
# coding: utf-8
"""
Idomoo API
OpenAPI spec version: 2.0
Contact: dev.support@idomoo.com
"""
import pprint
import six
class GIFOutput(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
... | normal | {
"blob_id": "2362c9a12f97f32f6136aaf16a55cf4acbaf9294",
"index": 4753,
"step-1": "<mask token>\n\n\nclass GIFOutput(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, gif_fps=None, color_depth=None, gif_loop=None,\n height=None, start=None, duration=... | [
27,
28,
29,
31,
33
] |
from django import forms
class RemoveProdutoDoCarrinhoForm(forms.Form):
class Meta:
fields = ('produto_id')
produto_id = forms.CharField(widget=forms.HiddenInput())
class QuantidadeForm(forms.Form):
class Meta:
fields = ('quantidade', 'produto_id')
# <input type="hidden" name="produt... | normal | {
"blob_id": "fd5fca0e9abbb669ddff4d676147acc4344cdd1c",
"index": 509,
"step-1": "<mask token>\n\n\nclass QuantidadeForm(forms.Form):\n\n\n class Meta:\n fields = 'quantidade', 'produto_id'\n produto_id = forms.CharField(widget=forms.HiddenInput())\n quantidade = forms.IntegerField(min_value=1, ma... | [
2,
3,
4,
5,
6
] |
#!usr/bin/python
#--*--coding:utf-8--*--
import sys
import re
if __name__ == '__main__':
category = re.compile('\[\[Category\:.*\]\]')#.は改行以外の任意の文字列にマッチ
for line in open(sys.argv[1]):
if category.search(line) is not None:#比較にはisを用いなければならない
print line.strip() | normal | {
"blob_id": "14b6dc403be76abef5fde2cca5d773c88faa4b40",
"index": 6083,
"step-1": "#!usr/bin/python\n#--*--coding:utf-8--*--\n\nimport sys\nimport re\n\nif __name__ == '__main__':\n category = re.compile('\\[\\[Category\\:.*\\]\\]')#.は改行以外の任意の文字列にマッチ\n for line in open(sys.argv[1]):\n if category.search(li... | [
0
] |
one=[7.236287049225701e-06, -1.445911565527231e-12, -1.7498772740084537e-13, 5.109944355076077e-11, -2.5430545472048434e-10, -1.1709514644876058e-15, 3.210132219509301e-16, 2.502027767038304e-05, -1.975229899156637e-06, -1.4769695480936238e-08, 8.945619840357268e-10, 135323228000.64511, 130464457208.5385]
two=[6.101651... | normal | {
"blob_id": "bdf3cb1830021b10d6c8966b3341fd9297d9a371",
"index": 2045,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n[1.5780628845471506e-10, -1.411490597458207e-12, -2.483949940281473e-13, \n 5.026488748046414e-11, -1.6612576871621329e-10, -1.6989844545344268e-15,\n 8.109443782655016e-16, 2.40404... | [
0,
1,
2,
3
] |
"""Command line interface to the OSF
These functions implement the functionality of the command-line interface.
"""
from __future__ import print_function
from functools import wraps
import getpass
import os
import sys
from six.moves import configparser
from six.moves import input
from tqdm import tqdm
from .api im... | normal | {
"blob_id": "ca551d8e55ebb15a03077af5695782c6d72ff2fd",
"index": 8091,
"step-1": "<mask token>\n\n\ndef config_from_env(config):\n username = os.getenv('OSF_USERNAME')\n if username is not None:\n config['username'] = username\n project = os.getenv('OSF_PROJECT')\n if project is not None:\n ... | [
7,
9,
10,
12,
13
] |
import csv
import hashdate as hd
with open('Grainger_Library.csv', newline='') as f:
reader = csv.reader(f)
data = list(reader)
del data[0]
gld = []
glo = []
data.sort(key=lambda x:x[1])
for i in range(0,len(data)):
gld.append((data[i][1],data[i][2]))
print('ahd:')
#print(ahd)
glh = hd.hashdate(365,2020... | normal | {
"blob_id": "79ff164c36cc5f0a2382a571ec183952a03e66cc",
"index": 9570,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('Grainger_Library.csv', newline='') as f:\n reader = csv.reader(f)\n data = list(reader)\ndel data[0]\n<mask token>\ndata.sort(key=lambda x: x[1])\nfor i in range(0, len(d... | [
0,
1,
2,
3,
4
] |
/home/co/Documents/ImageClassifier/tensorflow/tensorflow/contrib/tfprof/__init__.py | normal | {
"blob_id": "ca0616694b30f69263db48282bf8b8c130de0fbb",
"index": 8774,
"step-1": "/home/co/Documents/ImageClassifier/tensorflow/tensorflow/contrib/tfprof/__init__.py",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
} | [
0
] |
import pandas as pd
# 칼럼값으로 추가 - 함수 작성
# 1. cv_diff_value : 종가 일간 변화량
def cv_diff_value(prevalue, postvalue):
return postvalue - prevalue
# 2. cv_diff_rate : 종가 일간 변화율
def cv_diff_rate(prevalue, postvalue):
return (postvalue - prevalue) / prevalue * 100
# 3. cv_maN_value : 종가의 N일 이동평균
def cv_maN_value(cv, ... | normal | {
"blob_id": "a967b97f090a71f28e33c5ca54cb64db3967aea3",
"index": 7002,
"step-1": "<mask token>\n\n\ndef cv_diff_value(prevalue, postvalue):\n return postvalue - prevalue\n\n\ndef cv_diff_rate(prevalue, postvalue):\n return (postvalue - prevalue) / prevalue * 100\n\n\ndef cv_maN_value(cv, N):\n str_repla... | [
5,
6,
7,
8,
9
] |
'''import math
x = 5
print("sqrt of 5 is", math.sqrt(64))
str1 = "bollywood"
str2 = 'ody'
if str2 in str1:
print("String found")
else:
print("String not found")
print(10+20)'''
#try:
#block of code
#except Exception l:
#block of code
#else:
#this code executes if except block is executed
try... | normal | {
"blob_id": "c5b40b373953a2375eeca453a65c49bdbb8715f1",
"index": 6586,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n fh = open('testfile.txt', 'w')\n fh.write('This is my test file for exception handling! !')\nexcept IOError:\n print(\"Error: can't find file or read data\")\nelse:\n p... | [
0,
1,
2
] |
from clients.models import Budget
from clients.models import Spend
from datetime import date as datetimedate
from datetime import datetime
from datetime import timedelta
from django.db import models
from rest_framework.exceptions import ParseError
import math
import pandas as pd
class CampaignPerformance:
""" Get... | normal | {
"blob_id": "a860e6670719a733e75c7580cf2e07765b0777eb",
"index": 2806,
"step-1": "<mask token>\n\n\nclass CampaignPerformance:\n <mask token>\n\n def __init__(self, campaign, start):\n self.campaign = campaign\n self.start = start\n self.BUDGETS_NAME = 'Budgets'\n self.required_... | [
9,
12,
13,
15,
16
] |
from day6input import *
groups = input.split('\n\n')
count = 0 #1
groupanswers = [] #2
for group in groups:
allananswers = set(list('abcdefghijklmnopqrstuvwxyz')) #2
answers = set() #1
people = group.split('\n')
for person in people:
allananswers = allananswers & set(list(person)) #2
... | normal | {
"blob_id": "8f1ec65ca60605747f46f596e0b5848922bcd0b5",
"index": 2127,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor group in groups:\n allananswers = set(list('abcdefghijklmnopqrstuvwxyz'))\n answers = set()\n people = group.split('\\n')\n for person in people:\n allananswers = a... | [
0,
1,
2,
3,
4
] |
from xai.brain.wordbase.verbs._hinder import _HINDER
#calss header
class _HINDERED(_HINDER, ):
def __init__(self,):
_HINDER.__init__(self)
self.name = "HINDERED"
self.specie = 'verbs'
self.basic = "hinder"
self.jsondata = {}
| normal | {
"blob_id": "420beba5b6fd575ab9be0c907ae0698ba7be5220",
"index": 4622,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass _HINDERED(_HINDER):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass _HINDERED(_HINDER):\n\n def __init__(self):\n _HINDER.__init__(self)\n self.name ... | [
0,
1,
2,
3,
4
] |
from django.db import models
class faculdades(models.Model):
codigo = models.IntegerField(primary_key = True)
nome = models.CharField(max_length=50)
cidade = models.CharField(max_length=30)
estado = models.CharField(max_length=20)
pais = models.CharField(max_length=20)
def __str__(self):
... | normal | {
"blob_id": "20e5220ce23aaaedbfafe599b352f5d3a220e82e",
"index": 6687,
"step-1": "<mask token>\n\n\nclass cursos(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __str__(self):\n return self.nome\n\n\n class Meta:\n managed = False\n db_tab... | [
11,
13,
14,
16,
17
] |
import time
import click
from contextlib import contextmanager
from pathlib import Path
from model.data import CellsDataset
from model.model import build_model, train_transform, test_transform
from model.vis import plot_cells
@contextmanager
def timer(name):
t0 = time.time()
yield
print("{color}[{name}] d... | normal | {
"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
] |
from django.contrib import admin
from django.urls import path
from . import views
urlpatterns = [
path('', views.skincare, name="skin"),
path('productSearch/', views.productSearch, name="productSearch"),
path('detail/', views.detail, name="detail"),
] | normal | {
"blob_id": "c31c59d172b2b23ca4676be0690603f33b56f557",
"index": 4867,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [path('', views.skincare, name='skin'), path('productSearch/',\n views.productSearch, name='productSearch'), path('detail/', views.\n detail, name='detail')]\n",
"st... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
MQTT handler for Event subscriptions.
"""
import json
import time
import tornado.gen
import tornado.ioloop
from hbmqtt.mqtt.constants import QOS_0
from tornado.queues import QueueFull
from wotpy.protocols.mqtt.handlers.base import BaseMQTTHandler
from wotpy.protocol... | normal | {
"blob_id": "b3f72bc12f85724ddcdaf1c151fd2a68b29432e8",
"index": 6545,
"step-1": "<mask token>\n\n\nclass EventMQTTHandler(BaseMQTTHandler):\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, mqtt_server, qos=QOS_0, callback_ms=None):\n super(EventMQTTHandler, self).__init__(m... | [
6,
7,
8,
9,
10
] |
from django.conf.urls import url
from django.urls import path
from . import views
app_name = 'Accounts'
urlpatterns = [
path('update_info', views.update_info, name='update_info'),
path('create_user', views.create_user, name='create_user'),
path('change_password', views.change_password, name='change_passwo... | normal | {
"blob_id": "bfb778a2ecf43a697bc0e3449e9302142b20e1f4",
"index": 4278,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napp_name = 'Accounts'\nurlpatterns = [path('update_info', views.update_info, name='update_info'),\n path('create_user', views.create_user, name='create_user'), path(\n 'change_passw... | [
0,
1,
2,
3
] |
import pygame
import random
from pygame.locals import *
import pygame
from pygame.locals import *
class GameObject(pygame.sprite.Sprite):
SIZE = 8
def __init__(self, x, y, surface):
super(GameObject, self).__init__()
self.x = x
self.y = y
self.surface = surface
... | normal | {
"blob_id": "c589ce4ba2ae60d14787a8939146f6140fff1f01",
"index": 7914,
"step-1": "<mask token>\n\n\nclass GameObject(pygame.sprite.Sprite):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\n<mask token>\n\n\nclass Food(gameobject.GameObject):\n\n def __init__(self, x, y, surface, ti... | [
5,
7,
8,
10,
11
] |
import tkinter as tk # Import tkinker for GUI creation
from PIL import Image, ImageTk # Allow images to be used as backgrounds
import socket # Importing sockets for low level implementation of networks
import select # Importing select to poll between the user input and received message
import sys # Getting inp... | normal | {
"blob_id": "5e17299e6a409e433e384935a815bab6ce178ff5",
"index": 3031,
"step-1": "<mask token>\n\n\ndef sigint_handler(signum, frame):\n print('\\n Disconnecting from server')\n sys.exit()\n\n\n<mask token>\n\n\ndef sendUsernameToServer(username_entry):\n username = username_entry.encode('utf-8')\n u... | [
4,
5,
6,
7,
9
] |
import requests
import unittest
import time
from common import HTMLTestReport
class Get(unittest.TestCase):
TMPTOKEN = ''
TOKEN = ''
def setUp(self):
pass
# 获取临时token，opterTmpToken
def test_gettmptoken(self):
url = 'https://jdapi.jd100.com/uc/core/v1/sys/opterTmpToken'
par... | normal | {
"blob_id": "773c217f7f76bd82ed3dabf7ae1aba1871f0932f",
"index": 8539,
"step-1": "<mask token>\n\n\nclass Get(unittest.TestCase):\n <mask token>\n <mask token>\n\n def setUp(self):\n pass\n <mask token>\n\n def test_gettoken(self):\n url = 'https://jdapi.jd100.com/uc/v1/sys/opterToke... | [
6,
7,
8,
11,
12
] |
""" Classes and functions for generalized q-sampling """
import numpy as np
from dipy.reconst.odf import OdfModel, OdfFit, gfa
from dipy.reconst.cache import Cache
import warnings
from dipy.reconst.multi_voxel import multi_voxel_fit
from dipy.reconst.recspeed import local_maxima, remove_similar_vertices
class General... | normal | {
"blob_id": "2f193cb1eaf7b5e99d20025716a248144af90b92",
"index": 1925,
"step-1": "<mask token>\n\n\nclass GeneralizedQSamplingModel(OdfModel, Cache):\n\n def __init__(self, gtab, method='gqi2', sampling_length=1.2,\n normalize_peaks=False):\n \"\"\" Generalized Q-Sampling Imaging [1]_\n\n ... | [
14,
16,
17,
19,
20
] |
# -*- coding: utf-8 -*-
import os
from apscheduler.jobstores.sqlalchemy import SQLAlchemyJobStore
class Config:
SECRET_KEY = os.environ.get('SECRET_KEY')
# github
GITHUB_OAUTH2 = {
#github上获取
'client_id': '',
'client_secret': '',
'callback_url': '',
'scope': 'user'... | normal | {
"blob_id": "af7a124c873dda02ba2a78e85965aa243d791863",
"index": 3432,
"step-1": "# -*- coding: utf-8 -*-\nimport os\nfrom apscheduler.jobstores.sqlalchemy import SQLAlchemyJobStore\n\n\nclass Config:\n SECRET_KEY = os.environ.get('SECRET_KEY')\n # github\n GITHUB_OAUTH2 = {\n #github上获取\n ... | [
0
] |
from functools import partial
def power_func(x, y, a=1, b=0):
return a * x ** y + b
new_func = partial(power_func, 2, a=4)
print(new_func(4, b=1))
print(new_func(1))
| normal | {
"blob_id": "c9f1768e2f2dd47d637c2e577067eb6cd163e972",
"index": 8331,
"step-1": "<mask token>\n\n\ndef power_func(x, y, a=1, b=0):\n return a * x ** y + b\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef power_func(x, y, a=1, b=0):\n return a * x ** y + b\n\n\n<mask token>\nprint(new_func(4, b=1))... | [
1,
2,
3,
4
] |
import xarray as xr
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import pickle
import seaborn as sns
%load_ext autoreload
%autoreload 2
%matplotlib
data_dir = Path('/Volumes/Lees_Extend/data/ecmwf_sowc/data/')
# READ in model (maybe want to do more predictions on historical data)
from src.m... | normal | {
"blob_id": "d265781c6b618752a1afcf65ac137052c26388a6",
"index": 985,
"step-1": "import xarray as xr\nimport pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport pickle\nimport seaborn as sns\n\n%load_ext autoreload\n%autoreload 2\n%matplotlib\n\ndata_dir = Path('/Volumes/Lees_Extend/data/ec... | [
0
] |
from flask import Flask, Blueprint, render_template, request, redirect
from repositories import manufacturer_repository, product_repository
from models.manufacturer import Manufacturer
from models.product import Product
manufacturers_blueprint = Blueprint("manufacturers", __name__)
@manufacturers_blueprint.route("/ma... | normal | {
"blob_id": "841e859feff2151667d70e7bf1829129d1f92cf7",
"index": 9889,
"step-1": "<mask token>\n\n\n@manufacturers_blueprint.route('/manufacturers', methods=['GET'])\ndef manufacturers():\n manufacturers = manufacturer_repository.select_all()\n return render_template('manufacturers/index.html', manufacture... | [
5,
6,
7,
9,
10
] |
# -*- coding: utf-8 -*-
import os
import subprocess
import virtualenv
from templateserver import __version__ as version
DEFAULT_TEMPLATE_DIR = 'templates'
DEFAULT_MEDIA_DIR = 'media'
DEFAULT_STATIC_DIR = 'static'
DEFAULT_ENV_DIR = '.env'
DEFAULT_RUNSERVER_PATH = 'runserver.py'
RUNSERVER_TEMPLATE = os.path.abspath(os... | normal | {
"blob_id": "3f41cb1acbbb1a397ae1288bca1cbcd27c0d3f33",
"index": 5143,
"step-1": "# -*- coding: utf-8 -*-\nimport os\nimport subprocess\nimport virtualenv\nfrom templateserver import __version__ as version\n\n\nDEFAULT_TEMPLATE_DIR = 'templates'\nDEFAULT_MEDIA_DIR = 'media'\nDEFAULT_STATIC_DIR = 'static'\nDEFAUL... | [
0
] |
def search4vowels(word):
""" Return sny vowels founded in a supplied word."""
vowels = set('aeiou')
found = vowels.intersection(set(word))
#return found
for vowels in found:
print(vowels)
| normal | {
"blob_id": "8a21a7005fb17cc82759079022b540cf4fd062c5",
"index": 3458,
"step-1": "<mask token>\n",
"step-2": "def search4vowels(word):\n \"\"\" Return sny vowels founded in a supplied word.\"\"\"\n vowels = set('aeiou')\n found = vowels.intersection(set(word))\n for vowels in found:\n print... | [
0,
1,
2
] |
from django.shortcuts import render_to_response, get_object_or_404
from django.http import HttpResponseNotFound
from django.template import RequestContext
from bgame.models import Game, Period, Player, ROLES
from bgame.forms import GameForm
import logging
log = logging.getLogger(__name__)
def index(request):
games... | normal | {
"blob_id": "6c825cb60475a1570e048cab101567bd5847d2c2",
"index": 5113,
"step-1": "from django.shortcuts import render_to_response, get_object_or_404\nfrom django.http import HttpResponseNotFound\nfrom django.template import RequestContext\nfrom bgame.models import Game, Period, Player, ROLES\nfrom bgame.forms im... | [
0
] |
#-*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.core.files import File as DjangoFile
from django.core.management.base import BaseCommand, NoArgsCommand
from filer.models.filemodels import File
from leonardo.module.media.models import *
from filer.settings import FILER_IS_PUBLIC_DEFAULT
from ... | normal | {
"blob_id": "864e9063ec1ed80cd1da3128a38633cbeb2f8bba",
"index": 3775,
"step-1": "<mask token>\n\n\nclass Command(NoArgsCommand):\n \"\"\"\n Import directory structure into the filer ::\n\n manage.py --path=/tmp/assets/images\n manage.py --path=/tmp/assets/news --folder=images\n \"\"\"\n ... | [
4,
6,
9,
11,
12
] |
import json
import urllib
while True:
# Get input URL
url = raw_input("Enter URL: ")
# Check valid input
if len(url) < 1:
break
# Get data
print("Retrieving", url)
connection = urllib.urlopen(url)
data = connection.read()
print("Retrieved", len(data), "characters")
# P... | normal | {
"blob_id": "4cdd5fc15096aac01ad6d97d38ef7397859de18b",
"index": 5470,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile True:\n url = raw_input('Enter URL: ')\n if len(url) < 1:\n break\n print('Retrieving', url)\n connection = urllib.urlopen(url)\n data = connection.read()\n ... | [
0,
1,
2,
3
] |
from setuptools import setup, find_packages
from setuptools.extension import Extension
from sys import platform
cython = True
try:
from Cython.Build import cythonize
cython = True
except ImportError:
cython = False
# Define the C++ extension
if platform == "darwin":
extra_compile_args = ['-O3', '-pthread',... | normal | {
"blob_id": "312cc666c88fcd22882c49598db8c5e18bd3dae1",
"index": 26,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n from Cython.Build import cythonize\n cython = True\nexcept ImportError:\n cython = False\nif platform == 'darwin':\n extra_compile_args = ['-O3', '-pthread', '-funroll-lo... | [
0,
1,
2,
3,
4
] |
pal = []
for i in range(100, 1000):
for j in range(100, 1000):
s = str(i * j)
if s[::-1] == s:
pal.append(int(s))
print(max(pal))
| normal | {
"blob_id": "179a9cf0713001e361f39aa30192618b392c78c7",
"index": 6972,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(100, 1000):\n for j in range(100, 1000):\n s = str(i * j)\n if s[::-1] == s:\n pal.append(int(s))\nprint(max(pal))\n",
"step-3": "pal = []\nfo... | [
0,
1,
2
] |
from collections import defaultdict
class Solution:
def multiply(self, A: List[List[int]], B: List[List[int]]) -> List[List[int]]:
output = [[0 for j in range(len(B[0]))] for i in range(len(A))]
rows = defaultdict(list)
cols = defaultdict(list)
for i in ran... | normal | {
"blob_id": "8425ee79fcb41799e5edbbab822f93dd40e39d8e",
"index": 6481,
"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 multiply(self, A: List[List[int]], B: List[List[int]]) ->List[List[int]\n ]:\n ... | [
0,
1,
2,
3,
4
] |
dic = {"city": "Moscow", "temperature": 20}
# print(dic["city"])
# dic["temperature"] -= 5
# print(dic)
print(dic.get("country", "Russia"))
dic["date"] = "27.05.2019"
print(dic) | normal | {
"blob_id": "f145274c8caa1e725d12003874eb54a580a6e35e",
"index": 784,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(dic.get('country', 'Russia'))\n<mask token>\nprint(dic)\n",
"step-3": "dic = {'city': 'Moscow', 'temperature': 20}\nprint(dic.get('country', 'Russia'))\ndic['date'] = '27.05.2019'\... | [
0,
1,
2,
3
] |
# Exercise 1 - linear.py
import numpy as np
import keras
# Build the model
model = keras.Sequential([keras.layers.Dense(units=1,input_shape=[1])])
# Set the loss and optimizer function
model.compile(optimizer='sgd', loss='mean_squared_error')
# Initialize input data
xs = np.array([-1.0, 0.0, 1.0, 2.0, 3.0, 4.0], dtype=... | normal | {
"blob_id": "c8fecb6bfbd39e7a82294c9e0f9e5eaf659b7fed",
"index": 1610,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nmodel.compile(optimizer='sgd', loss='mean_squared_error')\n<mask token>\nmodel.fit(xs, ys, epochs=500)\n<mask token>\nprint(model.predict(dataIn, 1, 1))\n",
"step-3": "<mask token>\nmod... | [
0,
1,
2,
3,
4
] |
import os
from MdApi import MdApi
class Adapter(MdApi):
def __init__(self):
super(Adapter, self).__init__()
def connect(self):
self.createFtdcMdApi(os.getcwd())
self.registerFront('tcp://180.168.146.187:10010')
def onFrontConnected(self):
print 'front succ... | normal | {
"blob_id": "0e58834120c34b5152026bde6d089be19244e21a",
"index": 269,
"step-1": "import os\n\nfrom MdApi import MdApi\n\nclass Adapter(MdApi):\n\n def __init__(self):\n \n super(Adapter, self).__init__()\n\n\n def connect(self):\n\n\n self.createFtdcMdApi(os.getcwd())\n\n self.r... | [
0
] |
"""Tests for flatten_me.flatten_me."""
import pytest
ASSERTIONS = [
[[1, [2, 3], 4], [1, 2, 3, 4]],
[[['a', 'b'], 'c', ['d']], ['a', 'b', 'c', 'd']],
[['!', '?'], ['!', '?']],
[[[True, False], ['!'], ['?'], [71, '@']], [True, False, '!', '?', 71, '@']]
]
@pytest.mark.parametrize("n, result", ASSERTI... | normal | {
"blob_id": "c233ce4e14e9a59a9fb0f29589ced947efeb73a9",
"index": 3120,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@pytest.mark.parametrize('n, result', ASSERTIONS)\ndef test_flatten_me(n, result):\n \"\"\"Test flatten_me() for proper output in test cases.\"\"\"\n from flatten_me import flat... | [
0,
1,
2,
3,
4
] |
# (c) Copyright 2015-2016 Hewlett Packard Enterprise Development LP
# (c) Copyright 2017 SUSE LLC
import json
from bll.plugins import service
import logging
import pecan
import pymysql.cursors
LOG = logging.getLogger(__name__)
class PreferencesSvc(service.SvcBase):
"""
Simple service to manage user preferenc... | normal | {
"blob_id": "fb787e688da975d37f9fcc39bf5e02957b186982",
"index": 7512,
"step-1": "<mask token>\n\n\nclass PreferencesSvc(service.SvcBase):\n <mask token>\n\n def __init__(self, *args, **kwargs):\n super(PreferencesSvc, self).__init__(*args, **kwargs)\n config = pecan.conf.db.to_dict()\n ... | [
8,
10,
11,
13,
14
] |
from api import *
version_api = api(0)
def is_bad_version(v):
return version_api.is_bad(v)
def first_bad_version(n):
# -- DO NOT CHANGE THIS SECTION
version_api.n = n
# --
api_calls_count = 0
left, right = 1, n
while left < right:
mid = (left + right) // 2
is_bad = is_bad_versio... | normal | {
"blob_id": "df4c03d9faedf2d347593825c7221937a75a9c10",
"index": 5360,
"step-1": "<mask token>\n\n\ndef is_bad_version(v):\n return version_api.is_bad(v)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef is_bad_version(v):\n return version_api.is_bad(v)\n\n\ndef first_bad_version(n):\n version_ap... | [
1,
2,
3,
4,
5
] |
import random
# Imports MongoClient for base level access to the local MongoDB
from pymongo import MongoClient
# Imports datetime class to create timestamp for weather data storage
from datetime import datetime
# Importing DailyReportModel class to use the implemented method to insert data into daily_report_model ... | normal | {
"blob_id": "a8b1b218e6649545000803c91c803580cfdbd4f1",
"index": 459,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndb_handle.drop_database(DB_NAME)\n<mask token>\nwith open(RELATIVE_CONFIG_PATH + USER_COLLECTION + '.csv', 'r') as user_fh:\n for user_row in user_fh:\n user_row = user_row.rstri... | [
0,
1,
2,
3,
4
] |
from setuptools import setup
setup(name='google-drive-helpers',
version='0.1',
description='Helper functions for google drive',
url='https://github.com/jdoepfert/google-drive-helpers',
license='MIT',
packages=['gdrive_helpers'],
install_requires=[
'google-api-python-client... | normal | {
"blob_id": "c0218acadb9e03359ac898cf3bb4898f516400e5",
"index": 5361,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsetup(name='google-drive-helpers', version='0.1', description=\n 'Helper functions for google drive', url=\n 'https://github.com/jdoepfert/google-drive-helpers', license='MIT',\n ... | [
0,
1,
2,
3
] |
""" 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
] |
from . import utility
from . import regular_gram_schmidt as RGSC
from . import custom_gram_schmidt as CGSC
def RegularGramSchmidt():
while True:
vectors = utility.get_matrix_from_user(5)
if len(vectors) > 0:
calc = RGSC.RegularGramSchmidt()
result_matrix = calc.calc(vectors... | normal | {
"blob_id": "b6b3d94db62b47aac9bf78e8224a38ccff9335e3",
"index": 7591,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef RegularGramSchmidt():\n while True:\n vectors = utility.get_matrix_from_user(5)\n if len(vectors) > 0:\n calc = RGSC.RegularGramSchmidt()\n ... | [
0,
1,
2,
3,
4
] |
import strawberry as stb
from app.crud import cruduser
from app.db import get_session
@stb.type
class Query:
@stb.field
async def ReadUser(self, info, username: str):
ses = await get_session()
fields = info.field_nodes[0].selection_set.selections[0]
return await cruduser.get_user(ses,... | normal | {
"blob_id": "0992297ffc19b1bc4dc3d5e8a75307009c837032",
"index": 5134,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@stb.type\nclass Query:\n\n @stb.field\n async def ReadUser(self, info, username: str):\n ses = await get_session()\n fields = info.field_nodes[0].selection_set.se... | [
0,
1,
2
] |
import json
startTime = ""
endTime = ""
controller = 0
for files in range(30):
file = open("NewResults" + str(files+1) + ".data")
for line in file:
if line != "\n":
j = json.loads(line)
if controller == 0:
startTime = j['metrics'][0]['startTime']
helper = startTime.split(" ")
hour = helper[1].sp... | normal | {
"blob_id": "03284f20e614a5f8f5c21939acf49490d6ffd3a3",
"index": 7812,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor files in range(30):\n file = open('NewResults' + str(files + 1) + '.data')\n for line in file:\n if line != '\\n':\n j = json.loads(line)\n if contr... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python3
# Rhino Motor Driver (RMCS 2303) - Basic Modbus Communication
# -----------------------------------------------------------
"""
BSD 3-Clause License
Copyright (c) 2021, Rajesh Subramanian
All rights reserved.
Redistribution and use in source and binary forms, with or without
... | normal | {
"blob_id": "df3dcbf3c8d621f5db2a07765a0a28e7626387d9",
"index": 3485,
"step-1": "<mask token>\n\n\nclass Controller:\n\n def __init__(self, port_name, slave_address):\n self.__instrument = modbus.Instrument(port_name, slave_address,\n modbus.MODE_ASCII)\n self.__instrument.serial.bau... | [
16,
19,
24,
27,
29
] |
from django.apps import AppConfig
class EasyTechConfig(AppConfig):
name = 'easy_tech'
| normal | {
"blob_id": "0ef172ced411213c0f7daccd632f8d5ec97379c3",
"index": 5604,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass EasyTechConfig(AppConfig):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass EasyTechConfig(AppConfig):\n name = 'easy_tech'\n",
"step-4": "from django.apps import... | [
0,
1,
2,
3
] |
# Import other modules
from zelda_utilities.constants import *
# Helps establish the current frame for sprite animation/image changing
class Animation:
def __init__(self):
# Animation clock
self.next_frame = pygame.time.get_ticks()
# Starting frame
self.frame = 0
# ~12 fr... | normal | {
"blob_id": "0b36bf9ac7887101be5503a0edce19e1111e5ca0",
"index": 6607,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Animation:\n\n def __init__(self):\n self.next_frame = pygame.time.get_ticks()\n self.frame = 0\n self.frame_time = 1000 // ANIMATION_RATE\n <mask tok... | [
0,
2,
3,
4,
5
] |
import time
import datetime
from pushover import init, Client
from scraper import *
from config import *
# Get the current time
timeNow = time.strftime("%a %b %d, %I:%M %p").lstrip("0").replace(" 0", " ")
# Initialise Pushover for notifications
client = Client(user_key, api_token=api_token)
# Loop for times of ISS ... | normal | {
"blob_id": "a573c6870392024ec2e84571ccb0bad3f5c4033a",
"index": 4261,
"step-1": "<mask token>\n\n\ndef issCheck():\n for i in column.keys():\n for x in column[i]:\n if i == 'Date':\n issNow = x\n if issNow == timeNow:\n client.send_message('I... | [
1,
2,
3,
4,
5
] |
#Bingo Game
#Anthony Swift
#06/05/2019
'''
A simple bingo game. Player is presented with a randomly generated grid of numbers.
Player is asked to enter the number called out by the caller, each time a number is called out.
A chip ('X') is placed on the grid when the number entered (that has been called) match... | normal | {
"blob_id": "7be62ce45f815c4f4cf32df696cc444f92ac6d5c",
"index": 8901,
"step-1": "<mask token>\n\n\ndef welcome():\n print('\\nWelcome to the Bingo Game.')\n\n\ndef initialise_grid():\n grid = [['', '', '', '', ''], ['', '', '', '', ''], ['', '', '', '', ''\n ], ['', '', '', '', ''], ['', '', '', ''... | [
14,
15,
16,
17,
18
] |
import json
def main():
with open('./src/test/predictions.json', 'r') as f:
data = json.load(f)
total = len(data['label'])
google = 0
sphinx = 0
for i in range(len(data['label'])):
label = data['label'][i]
google_entry = data['google'][i]
sphinx_entry = data['p... | normal | {
"blob_id": "9fc184fe3aa498138138403bef719c59b85b3a80",
"index": 4392,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n with open('./src/test/predictions.json', 'r') as f:\n data = json.load(f)\n total = len(data['label'])\n google = 0\n sphinx = 0\n for i in range(l... | [
0,
1,
2,
3,
4
] |
import unittest
import brainfuck
import sys
from StringIO import StringIO
def run_program(program, input = None):
old_stdout = sys.stdout
old_stdin = sys.stdin
try:
out = StringIO()
sys.stdout = out
if input is not None:
input = StringIO(input)
sys.stdin = ... | normal | {
"blob_id": "19ab44cec863560513aadd88b5fd4bb40f75e371",
"index": 2579,
"step-1": "<mask token>\n\n\nclass TestInterpreter(unittest.TestCase):\n <mask token>\n\n def test_HelloWorld(self):\n result = run_program(\n \"\"\"\n ++++++++++[>+++++++>++++++++++>+++>+<<<<-]>++.>... | [
4,
6,
7,
9,
10
] |
# -*- coding: utf-8 -*-
__author__ = 'jz'
from flask.ext import restful
from flask.ext.restful import reqparse
from scs_app.db_connect import *
parser = reqparse.RequestParser()
parser.add_argument('count', type=str)
class MulActionResource(restful.Resource):
def __init__(self):
self.db =... | normal | {
"blob_id": "44476a32b8ab68820d73955321e57b7d1b608beb",
"index": 6823,
"step-1": "<mask token>\n\n\nclass MulActionResource(restful.Resource):\n\n def __init__(self):\n self.db = get_connection()\n\n def post(self, type):\n args = parser.parse_args()\n count = args.get('count')\n ... | [
3,
4,
5,
6,
7
] |
# -*- coding:utf-8 -*-
import os
import numpy as np
import tensorflow as tf
from translate import datautil
import seq2seq_model
_buckets = []
convo_hist_limit = 1
max_source_length = 1
max_target_length = 2
flags = tf.app.flags
FLAGS = flags.FLAGS
tf.reset_default_graph
max_train_data_size = 0
data_dir = 'datacn... | normal | {
"blob_id": "b7007778ea9dfac3af8c31d66d32d8157dc0d69b",
"index": 1517,
"step-1": "<mask token>\n\n\ndef getfanyiInfo():\n vocaben, rev_vocaben = datautil.initialize_vocabulary(os.path.join(\n datautil.data_dir, datautil.vocabulary_fileen))\n vocab_sizeen = len(vocaben)\n vocabch, rev_vocabch = da... | [
2,
4,
5,
6,
7
] |
def tort(n, a, b):
return min(n * a, b)
def main():
n, a, b = map(int, input().split())
print(tort(n, a, b))
if __name__ == '__main__':
main()
| normal | {
"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
] |
import cv2
import dlib
import faceBlendCommon as face
from matplotlib import pyplot as plt
from scipy.spatial import distance as dist
import numpy as np
import cmapy
import math
def eye_aspect_ratio(eye):
A = dist.euclidean(eye[1], eye[5])
B = dist.euclidean(eye[2], eye[4])
C = dist.euclidean(eye[0], eye[... | normal | {
"blob_id": "65ff3b5137c94890c3293a2ae3f57dee1f60a54c",
"index": 9097,
"step-1": "<mask token>\n\n\ndef findIris(eyeMask, im, thresh):\n r = im[:, :, 2]\n _, binaryIm = cv2.threshold(r, thresh, 255, cv2.THRESH_BINARY_INV)\n kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (4, 4))\n morph = cv2.d... | [
3,
6,
8,
10,
11
] |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.3 on 2017-03-09 14:28
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('proposal', '0016_project_callobjectives'),
]
operations = [
migrations.Alte... | normal | {
"blob_id": "d5c7b8966e73c607d1d1c5da9814ef507dc53b59",
"index": 6852,
"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 = [('proposal', ... | [
0,
1,
2,
3,
4
] |
from django.shortcuts import render
from django.views.generic import TemplateView
from django.conf import settings
import os, csv
class InflationView(TemplateView):
template_name = 'inflation.html'
def get(self, request, *args, **kwargs):
# чтение csv-файла и заполнение контекста
context = {}... | normal | {
"blob_id": "6645887b25d75f4657fb231b80d8ebdec2bac7c9",
"index": 8718,
"step-1": "<mask token>\n\n\nclass InflationView(TemplateView):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass InflationView(TemplateView):\n <mask token>\n\n def get(self, request, *args, **kwargs):\n ... | [
1,
2,
3,
4,
5
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Frame filtering
'''
import numpy as np
import cv2
def filter_frames(frames, method=cv2.HISTCMP_CORREL, target_size=(64, 64), threshold=0.65):
"""Filter noisy frames out
Args:
frames (list<numpy.ndarray[H, W, 3]>): video frames
method (int, o... | normal | {
"blob_id": "1da93e9113089f1a2881d4094180ba524d0d4a86",
"index": 8531,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef filter_frames(frames, method=cv2.HISTCMP_CORREL, target_size=(64, 64),\n threshold=0.65):\n \"\"\"Filter noisy frames out\n\n Args:\n frames (list<numpy.ndarray[H,... | [
0,
1,
2,
3
] |
# -*- coding:utf-8 -*-
# class TreeLinkNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
# self.next = None
class Solution:
"""
给定一个二叉树和其中的一个结点，请找出中序遍历顺序的下一个结点并且返回。
注意，树中的结点不仅包含左右子结点，同时包含指向父结点的指针。
"""
def GetNext(self, pNode):
... | normal | {
"blob_id": "57f8584a8d058e5f9d4e0b7b75c7ec8dbbfef24a",
"index": 9681,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n <mask token>\n",
"step-3": "class Solution:\n <mask token>\n\n def GetNext(self, pNode):\n\n def left_most(p):\n if p == None:\n ... | [
0,
1,
2,
3,
4
] |
"""
实战练习：
1.打开网页
https://www.runoob.com/try/try.php?filename=jqueryui-api-droppable
2.操作窗口右侧页面，将元素1拖拽到元素2
3.这时候会有一个alert弹框，点击弹框中的‘确定’
3.然后再按’点击运行’
4.关闭网页
"""
import pytest
from selenium import webdriver
from time import sleep
from selenium.webdriver import ActionChains
class TestFrame:
def setup(self):
self... | normal | {
"blob_id": "74843dea00a88513c3a9237eb024e1e14e8b1ff8",
"index": 3088,
"step-1": "<mask token>\n\n\nclass TestFrame:\n <mask token>\n\n def teardown(self):\n self.driver.quit()\n\n def test_frame(self):\n self.driver.switch_to.frame('iframeResult')\n action = ActionChains(self.drive... | [
3,
4,
5,
6,
7
] |
"""Functional tests for h2 frames."""
__author__ = "Tempesta Technologies, Inc."
__copyright__ = "Copyright (C) 2023 Tempesta Technologies, Inc."
__license__ = "GPL2"
from h2.errors import ErrorCodes
from h2.exceptions import StreamClosedError
from framework import deproxy_client, tester
from helpers import checks_f... | normal | {
"blob_id": "e474cb3db74b5344bd861aacf779cb9f77830ef6",
"index": 5661,
"step-1": "<mask token>\n\n\nclass TestH2FrameEnabledDisabledTsoGroGso(\n TestH2FrameEnabledDisabledTsoGroGsoBase, NetWorker):\n\n def test_headers_frame_with_continuation(self):\n client, server = self.setup_tests()\n sel... | [
27,
33,
37,
46,
48
] |
import os
from matplotlib import pyplot as plt
from matplotlib import colors
import numpy as np
class figure:
def __init__(self, dire, dpi, span, data, CIM,
learn_loss=None, eval_loss=None, different_dir_app=True, reference_steps=0, reveal_trend=1):
self.dire = self.new_num_directory(di... | normal | {
"blob_id": "dce6ef64cf1a758ed25e11f626ce31206d18f960",
"index": 8645,
"step-1": "<mask token>\n\n\nclass figure:\n <mask token>\n\n def new_num_directory(self, path):\n n = 1\n while True:\n if not os.path.exists(path + '_' + str(n)):\n os.mkdir(path + '_' + str(n))... | [
4,
11,
12,
13,
14
] |
# My Godzilla Hat Code - @alt_bier
from adafruit_circuitplayground.express import cpx
import random
#cpx.pixels.brightness = 0.5 # 50 pct
cpx.pixels.fill((0, 0, 0)) # Turn off the NeoPixels if they're on!
# Function to give us a nice color swirl on the built in NeoPixel (R,G,B)
def wheeln(pos, sft):
if (pos + sf... | normal | {
"blob_id": "1dd223854c10e69a397098511eab50b9ebd347c8",
"index": 6027,
"step-1": "<mask token>\n\n\ndef wheeln(pos, sft):\n if pos + sft > 255:\n pos = pos + sft - 256\n else:\n pos = pos + sft\n if pos < 0 or pos > 255:\n return 0, 0, 0\n if pos < 85:\n return int(255 - p... | [
4,
5,
6,
7,
8
] |
# Generated by Django 3.2.8 on 2021-10-20 08:25
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('app', '0006_auto_20211020_0817'),
]
operations = [
migrations.AlterModelOptions(
name='currencies',
options={'verbose_name':... | normal | {
"blob_id": "a6cc0078fb37f9c63e119046193f521290c9fb21",
"index": 4634,
"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 = [('app', '0006... | [
0,
1,
2,
3,
4
] |
# Generated by Django 2.1.3 on 2019-01-02 12:08
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('leasing', '0037_make_lease_basis_of_rent_archivable'),
]
operations = [
migrations.AddField(
model_name='invoicepayment',
... | normal | {
"blob_id": "8cd290dc1e682222c97172a0f23e5b93c54838a7",
"index": 2201,
"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 = [('leasing', '... | [
0,
1,
2,
3,
4
] |
from StockDatabase import StockDatabase
from RNNinner import RecurrentAnalyzer
import torch
import matplotlib.pyplot as plt
import numpy as np
database = StockDatabase()
database.read_data()
prices = torch.tensor(database.normalize(database.get_stock_prices('AAPL',
length=2000)))
print(prices.shape)
model = Recurre... | normal | {
"blob_id": "8abfb6a9ca3a7a909a1e8125e8c03e29b2bacda8",
"index": 109,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndatabase.read_data()\n<mask token>\nprint(prices.shape)\n<mask token>\nmodel.load_state_dict(torch.load('rnn_inner'))\nmodel.init_hidden()\nmodel.eval()\nwith torch.no_grad():\n preds =... | [
0,
1,
2,
3
] |
import random
import tqdm
from keras.models import load_model
from ModelUtil import precision, recall, f1
from tqdm import tqdm
import cv2 as cv
import numpy as np
import os
import pandas as pd
from PIL import Image
os.environ['CUDA_VISIBLE_DEVICES']='1'
model_path = '/home/bo/Project/densenet.hdf5'
train_img_path... | normal | {
"blob_id": "c2b3594d25e2d1670d9b99e0d3484c680f59421f",
"index": 9465,
"step-1": "<mask token>\n\n\ndef preprocess_image(image_path, desired_size=SIZE):\n \"\"\"\n Resize the picture to the desired size\n :param image_path: the path of image folder\n :param desired_size: the size that image will be c... | [
9,
10,
12,
13,
14
] |
#!/usr/bin/python
"""
An extensible private pypi index.
NOTES ON PACKAGE NAMES
----------------------
MPyPi tries the following when it does not find a package
with the given name in the index:
- replaces all _ with - and
- lowercases the package name
"""
from __future__ import print_function
from __future__ ... | normal | {
"blob_id": "bd25b97de78f04510e43f13d356eb6c0025e223d",
"index": 8121,
"step-1": "<mask token>\n\n\ndef canonicalize_name(name):\n return _canonicalize_regex.sub('-', name).lower()\n\n\ndef page_index(packages):\n yield PAGE_FMT\n for p in packages:\n name = p.name\n url = name\n yi... | [
5,
6,
7,
8,
10
] |
from elements import Node, Bar, Material, Group, Load
from pprint import pprint
# query
# next((e for e in result['coordinates']['nodes'] if e.n == int(el[0])), None)
class Reader():
def read(self, filePath):
"""
Reads text file with nodes and returns the result dict with all objects
and their nested p... | normal | {
"blob_id": "c796123fbbf3adcde59779a104dcafb30a673a79",
"index": 6422,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Reader:\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Reader:\n\n def read(self, filePath):\n \"\"\"\n Reads text file with nodes and returns the resul... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
import os
from flask import Flask, request,render_template,url_for
from flask_uploads import UploadSet, configure_uploads, IMAGES, patch_request_class
import sys
sys.path.insert(1, 'script')
from backend import model
import io
from PIL import Image
import base64
import numpy as np
app = Fla... | normal | {
"blob_id": "93d0d73d56b04bba505265958fccff229f5eaf49",
"index": 872,
"step-1": "<mask token>\n\n\n@app.route('/', methods=['GET', 'POST'])\ndef upload_file():\n if request.method == 'POST' and 'photo' in request.files:\n filename = photos.save(request.files['photo'])\n file_url = photos.url(fil... | [
1,
2,
3,
4,
5
] |
# -*- coding: utf-8 -*-
"""
Created on Mon Apr 16 21:26:03 2018
@author: Brandon
"""os.getcwd()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
NameError: name 'os' is not definimport os
>>> os.getcwd()
'C:\\Users\\Brandon\\AppData\\Local\\Programs\\Python\\Python36-32'
>>> os.chdir()
Tracebac... | normal | {
"blob_id": "dc97703d39e7db29e0ba333c2797f4be6d015fd7",
"index": 7886,
"step-1": "# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Mon Apr 16 21:26:03 2018\n\n@author: Brandon\n\"\"\"os.getcwd()\nTraceback (most recent call last):\n File \"<stdin>\", line 1, in <module>\nNameError: name 'os' is not definimport os\n>... | [
0
] |
#!/usr/bin/env python2
## -*- coding: utf-8 -*-
import sys
def sx(bits, value):
sign_bit = 1 << (bits - 1)
return (value & (sign_bit - 1)) - (value & sign_bit)
SymVar_0 = int(sys.argv[1])
ref_263 = SymVar_0
ref_278 = ref_263 # MOV operation
ref_5710 = ref_278 # MOV operation
ref_5786 = ref_5710 # MOV operati... | normal | {
"blob_id": "22d3ff0fca9a5537da37bfbc968d83ec6f919752",
"index": 5162,
"step-1": "#!/usr/bin/env python2\n## -*- coding: utf-8 -*-\n\nimport sys\n\ndef sx(bits, value):\n sign_bit = 1 << (bits - 1)\n return (value & (sign_bit - 1)) - (value & sign_bit)\n\nSymVar_0 = int(sys.argv[1])\nref_263 = SymVar_0\nre... | [
0
] |
import numpy as np
import tensorflow as tf
from tfrecords_handler.moving_window.tfrecord_mean_reader import TFRecordReader
from configs.global_configs import training_data_configs
class StackingModelTester:
def __init__(self, **kwargs):
self.__use_bias = kwargs["use_bias"]
self.__use_peepholes = ... | normal | {
"blob_id": "3b7839347f24d39904d29d40e688a5dfd63534d7",
"index": 3560,
"step-1": "<mask token>\n\n\nclass StackingModelTester:\n\n def __init__(self, **kwargs):\n self.__use_bias = kwargs['use_bias']\n self.__use_peepholes = kwargs['use_peepholes']\n self.__input_size = kwargs['input_size... | [
3,
4,
5,
6,
7
] |
from django import forms
class UploadForm(forms.Form):
file = forms.FileField(label="Json с данными об отправлении")
| normal | {
"blob_id": "0878bfa1151371ff3aaa59f8be5ea9af74ada331",
"index": 4978,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass UploadForm(forms.Form):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass UploadForm(forms.Form):\n file = forms.FileField(label='Json с данными об отправлении')\n",... | [
0,
1,
2,
3,
4
] |
"""
* Team Id : LM#4787
* Author List : Arjun S, Vinod, Arvind, Vishnu
* Filename: ArenaPreprocessor.py
* Theme: Launch A Module
* Functions: arena_preprocess, getTransformationMatrix, get_robot_space
* Global Variables: None
"""
import cv2
import numpy as np
"""
* Function Name... | normal | {
"blob_id": "228852f960e9343d9f45abdd3204cfab7bb54bc6",
"index": 8230,
"step-1": "<mask token>\n\n\ndef arena_preprocess(frame, M):\n processed_arena = cv2.warpPerspective(frame, M, (900, 600))\n in_corners = np.array([[10, 18], [10, 590], [890, 590], [890, 15]])\n h, w = processed_arena.shape[:2]\n ... | [
1,
2,
3,
4,
5
] |
# -*- coding: utf-8 -*-
from django.conf.urls import patterns, include, url
from django.contrib.auth.views import login, logout
from django.contrib import admin
from magmag_core.app import application
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from django.conf.urls.static import static
from mag... | normal | {
"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
] |
operation = input('operation type: ').lower()
num1 = input("First number: ")
num2 = input("First number: ")
try:
num1, num2 = float(num1), float(num2)
if operation == 'add':
result = num1 + num2
print(result)
elif operation == 'subtract':
result = num1 - num2
print(result)
... | normal | {
"blob_id": "bafb6c09ecd0017428441e109733ebcb189863ad",
"index": 3598,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n num1, num2 = float(num1), float(num2)\n if operation == 'add':\n result = num1 + num2\n print(result)\n elif operation == 'subtract':\n result = num1 ... | [
0,
1,
2,
3
] |
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