code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from conans import ConanFile, CMake, tools
from conans.errors import ConanInvalidConfiguration
import os
import shutil
class LibpopplerConan(ConanFile):
name = "poppler"
version = "0.73.0"
description = "Poppler is a PDF rendering library based on the xpdf-3.... | normal | {
"blob_id": "848394e1e23d568f64df8a98527a8e177b937767",
"index": 3380,
"step-1": "<mask token>\n\n\nclass LibpopplerConan(ConanFile):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>... | [
6,
7,
8,
9,
11
] |
#!/usr/bin/env python
import os
import sys
from setuptools import setup
from textwrap import dedent
NAME = "docker-zabbix-script-sender"
GITHUB_ORG_URL = "https://github.com/troptop/"
ROOT_DIR = os.path.dirname(__file__)
SOURCE_DIR = os.path.join(ROOT_DIR)
exec(open('docker_zabbix_script_sender/version.py').read())
... | normal | {
"blob_id": "0769003c248c099da5bcd75541d35234b01af5de",
"index": 2723,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nexec(open('docker_zabbix_script_sender/version.py').read())\nsetup(name=NAME, version=version, author='Cyril Moreau', author_email=\n 'cyril.moreauu@gmail.com', url=GITHUB_ORG_URL + '/... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import json
from flask import jsonify
from flask import make_response
from MultipleInterfaceManager.settings import STATUS_CODE
def _render(resp):
response = make_response(jsonify(resp))
# response.headers["Access-Control-Allow-Origin"] = "*"
return ... | normal | {
"blob_id": "a87ab07bb1502a75a7e705cd5c92db829ebdd966",
"index": 8689,
"step-1": "<mask token>\n\n\ndef _render(resp):\n response = make_response(jsonify(resp))\n return response\n\n\n<mask token>\n\n\ndef json_detail_render(code, data=[], message=None):\n if message is None:\n message = STATUS_C... | [
2,
3,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main(app, data):
MEDIUM_API_ENDPOINT = 'https://medium.com/{0}/latest?format=json'
r = requests.get(MEDIUM_API_ENDPOINT.format(data.get('username')))
response_content = r.content.decode('utf-8')
json_data = r... | flexible | {
"blob_id": "96936b7f6553bee06177eb66a2e63064c1bf51a6",
"index": 8373,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main(app, data):\n MEDIUM_API_ENDPOINT = 'https://medium.com/{0}/latest?format=json'\n r = requests.get(MEDIUM_API_ENDPOINT.format(data.get('username')))\n response_conte... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class DBModel(object):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def get_matcher(self, matcher, nlp):
for entity in self.entities:
matcher.add(entity.name.upper() + '_TABLE', None, nlp(entity.
name.lower()))
for ... | flexible | {
"blob_id": "76ebab93441676f9f00b2c2d63435e72c2d5d1ba",
"index": 9936,
"step-1": "<mask token>\n\n\nclass DBModel(object):\n <mask token>\n <mask token>\n\n def get_matcher(self, matcher, nlp):\n for entity in self.entities:\n matcher.add(entity.name.upper() + '_TABLE', None, nlp(entit... | [
2,
3,
4,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Book:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Book:
<|reserved_special_token_0|>
def __init__(self, title, authors, pub_year):
self.title = title
self.authors = aut... | flexible | {
"blob_id": "14345a8c4e20d84dfc87476d890f59530a8f4d96",
"index": 7237,
"step-1": "<mask token>\n",
"step-2": "class Book:\n <mask token>\n <mask token>\n",
"step-3": "class Book:\n <mask token>\n\n def __init__(self, title, authors, pub_year):\n self.title = title\n self.authors = a... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def square():
forward(100)
right(90)
forward(100)
right(90)
forward(100)
right(90)
forward(100)
mainloop()
def pentagon():
forward(100)
right(72)
forward(100)
right(72)
forward(100)
right(72)
forward(100)
right(72)
forw... | flexible | {
"blob_id": "92d689e5caa2d8c65f86af0f8b49b009d162a783",
"index": 7379,
"step-1": "<mask token>\n\n\ndef square():\n forward(100)\n right(90)\n forward(100)\n right(90)\n forward(100)\n right(90)\n forward(100)\n mainloop()\n\n\ndef pentagon():\n forward(100)\n right(72)\n forward... | [
8,
10,
12,
14,
20
] |
# import os,sys
# BASE_DIR=os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# sys.path.append(BASE_DIR)
from lib import common
from conf import settings
import random
import pickle
import os
import xlrd
import time
class Base:
def save(self):
file_path=r'%s/%s' %(self.DB_PATH,self.id)
p... | normal | {
"blob_id": "7cd6a8a106c21e8e377666d584e19d30c607b7d2",
"index": 9345,
"step-1": "<mask token>\n\n\nclass Subject(Base):\n <mask token>\n <mask token>\n <mask token>\n\n @classmethod\n def filter_question(cls):\n id_l = os.listdir(settings.QUESTION_PATH)\n r_id_l = random.sample(id_l... | [
21,
23,
24,
27,
30
] |
# inserting logical unit ids for splitting texts into logical chunks
import re
import os
splitter = "#META#Header#End#"
def logical_units(file):
ar_ra = re.compile("^[ذ١٢٣٤٥٦٧٨٩٠ّـضصثقفغعهخحجدًٌَُلإإشسيبلاتنمكطٍِلأأـئءؤرلاىةوزظْلآآ]+$")
with open(file, "r", encoding="utf8") as f1:
book = f1.read()
... | normal | {
"blob_id": "5c001303962315afe2512eb307376f6f7a883cf9",
"index": 6831,
"step-1": "<mask token>\n\n\ndef process_all(folder):\n exclude = ['OpenITI.github.io', 'Annotation', '_maintenance', 'i.mech']\n for root, dirs, files in os.walk(folder):\n dirs[:] = [d for d in dirs if d not in exclude]\n ... | [
1,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
class CSVExporter:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def reset(self, *_):
"""reset all"""
@staticmethod
async def _run(dlg: SaveFileDialog, mainview, ctrl, doc):
paths = await mainview.threadmethod(dlg.save)
if paths is... | flexible | {
"blob_id": "d120172e65f329b1137df38b693e5fe7145bc80d",
"index": 2840,
"step-1": "<mask token>\n\n\nclass CSVExporter:\n <mask token>\n <mask token>\n\n def reset(self, *_):\n \"\"\"reset all\"\"\"\n\n @staticmethod\n async def _run(dlg: SaveFileDialog, mainview, ctrl, doc):\n paths ... | [
2,
7,
8,
9,
10
] |
from GRAFICA_BRESENHAMS import Bresenhams
def main():
x = int(input('INGRESA VALOR PARA X: \n'))
y = int(input('INGRESA VALOR PARA Y: \n'))
x1 = int(input('INGRESA VALOR PARA X1: \n'))
y1 = int(input('INGRESA VALOR PARA Y1: \n'))
Bresenhams(x, y, x1, y1)
if __name__ == '__main__':
main()
| normal | {
"blob_id": "e75bee4e014aa369131c3e200ce874a8840b5690",
"index": 3573,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n x = int(input('INGRESA VALOR PARA X: \\n'))\n y = int(input('INGRESA VALOR PARA Y: \\n'))\n x1 = int(input('INGRESA VALOR PARA X1: \\n'))\n y1 = int(input('I... | [
0,
1,
2,
3
] |
from __future__ import print_function
import zmq
import time
import random
import numpy as np
import msgpack as serializer
port = '42000'
# let the OS choose the IP and PORT
ipc_sub_url = 'tcp://*:*'
ipc_push_url = 'tcp://*:*'
# starting communication threads
zmq_ctx = zmq.Context()
pub_socket = zmq_ctx.socket(zmq.... | normal | {
"blob_id": "cb469b69bf974d39609f79c4f3be686d8106f971",
"index": 1431,
"step-1": "<mask token>\n",
"step-2": "<mask token>\npub_socket.bind('tcp://*:%s' % port)\nwhile True:\n topic = 'test'\n thisX = np.random.rand()\n thisY = np.random.rand()\n testDict = {'gaze': (thisX, thisY)}\n pub_socket.... | [
0,
1,
2,
3,
4
] |
from enum import Enum
# Genie
from genie.decorator import managedattribute
from genie.conf.base import Base, \
DeviceFeature, \
LinkFeature, \
Interface
import genie.conf.base.attributes
from genie.libs.conf.base.feature import consoli... | normal | {
"blob_id": "6d2581b83a2839dcbc644ca572b05b158d80b58d",
"index": 2479,
"step-1": "<mask token>\n\n\nclass Keychains(DeviceFeature):\n <mask token>\n\n\n class DeviceAttributes(genie.conf.base.attributes.DeviceSubAttributes):\n\n\n class KeyChainAttributes(KeyedSubAttributes):\n\n def __in... | [
4,
6,
7,
8,
9
] |
# getting a sample of data to parse for the keys of the players
import requests
import xml.etree.ElementTree as ET
currentPlayerInfoUrl="http://stats.nba.com/stats/commonallplayers?IsOnlyCurrentSeason=1&LeagueID=00&Season=2015-16"
r=requests.get(currentPlayerInfoUrl)
if r.status_code == requests.codes.ok:
with open(... | normal | {
"blob_id": "68f8b301d86659f9d76de443b0afe93fd7f7e8c2",
"index": 6588,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif r.status_code == requests.codes.ok:\n with open('currentPlayerDump.json', 'w') as f:\n for line in r.text:\n f.write(line)\n",
"step-3": "<mask token>\ncurrentPl... | [
0,
1,
2,
3,
4
] |
from sklearn.tree import DecisionTreeClassifier
from sklearn.model_selection import train_test_split
import pandas as pd
import numpy as np
from sklearn.datasets import load_iris
from sklearn.model_selection import cross_val_score
iris_dataset=load_iris()
X=iris_dataset['data']
y=iris_dataset['target']
X_tra... | normal | {
"blob_id": "cc46485a3b5c68e4f77a2f9a033fd2ee2859b52b",
"index": 978,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor c in range(1, 11):\n tree = DecisionTreeClassifier(max_depth=4, random_state=c)\n model.append(tree.fit(X_train, y_train))\n<mask token>\nfor a in model:\n in_sample_accuracy.... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
print('HELLO3')
<|reserved_special_token_1|>
print("HELLO3")
| flexible | {
"blob_id": "74be250df785590ecf45e048b0d6189e2b445889",
"index": 2181,
"step-1": "<mask token>\n",
"step-2": "print('HELLO3')\n",
"step-3": "print(\"HELLO3\")\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
<|reserved_special_token_0|>
class Jobs:
def __init__(self, name, type, experience, education, keyword, salary,
url, start, end):
self.name = name
self.type = type
self.experience = experience
self.education = education
self.keyword = keyword
self.salary = ... | flexible | {
"blob_id": "bcc24d5f97e46433acb8bcfb08fe582f51eb28ce",
"index": 2932,
"step-1": "<mask token>\n\n\nclass Jobs:\n\n def __init__(self, name, type, experience, education, keyword, salary,\n url, start, end):\n self.name = name\n self.type = type\n self.experience = experience\n ... | [
4,
5,
6,
7,
9
] |
<|reserved_special_token_0|>
class TestParsers(unittest.TestCase):
<|reserved_special_token_0|>
def test_part_date_short(self):
date = '8/5/13 16:14'
self.assertEqual(datetime.datetime(2013, 8, 5, 16, 14), undertest.
parse_date_short(date))
def test_parse_line(self):
... | flexible | {
"blob_id": "253d37f29e33f61d7e1a5ec2f9a1d6307a2ae108",
"index": 6921,
"step-1": "<mask token>\n\n\nclass TestParsers(unittest.TestCase):\n <mask token>\n\n def test_part_date_short(self):\n date = '8/5/13 16:14'\n self.assertEqual(datetime.datetime(2013, 8, 5, 16, 14), undertest.\n ... | [
3,
4,
5,
6,
7
] |
from pyrogram import Client, filters
from pyrogram.errors import MessageNotModified
from db.models import *
@Client.on_callback_query(filters.regex('^change_lg_'))
async def on_change_language(_, callback):
settings_id = int(callback.data.split('_')[2])
with db_session:
settings = SettingsInstance.g... | normal | {
"blob_id": "dd053da45d2577772414b1373ba324b0bfdc0d94",
"index": 6605,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@Client.on_callback_query(filters.regex('^change_lg_'))\nasync def on_change_language(_, callback):\n settings_id = int(callback.data.split('_')[2])\n with db_session:\n ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class Solution:
def solution(self, rootA, rootB):
if rootA == rootB:
print('h')
return True
if rootA is None or rootB is None:
return False
return rootA.val == rootB.val and self.solution(rootA.left, rootB.left
)... | flexible | {
"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
] |
#API End Points by Mitul
import urllib.error, urllib.request, urllib.parse
import json
target = 'http://py4e-data.dr-chuck.net/json?'
local = input('Enter location: ')
url = target + urllib.parse.urlencode({'address': local, 'key' : 42})
print('Retriving', url)
data = urllib.request.urlopen(url).read()
print('Retrive... | normal | {
"blob_id": "d34159536e860719094a36cfc30ffb5fcae72a9a",
"index": 296,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('Retriving', url)\n<mask token>\nprint('Retrived', len(data), 'characters')\n<mask token>\nprint(json.dumps(js, indent=4))\nprint('Place id', js['results'][0]['place_id'])\n<mask tok... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
"""
Created on Tue Apr 25 13:34:46 2017
@author: Sven Geboers
"""
from math import pi,e
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm
def LevelToIntensity(NoiseLevelIndB):
I0 = 10.**(-12) #This is the treshold hearing intensity, matchin... | normal | {
"blob_id": "68a1d5a77abd19aece04bd560df121ceddccea42",
"index": 3179,
"step-1": "<mask token>\n\n\ndef LevelToIntensity(NoiseLevelIndB):\n I0 = 10.0 ** -12\n NoiseLevel = float(NoiseLevelIndB)\n Intensity = I0 * 10 ** (NoiseLevel / 10)\n return Intensity\n\n\ndef IntensityToLevel(Intensity):\n I0... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
urlpatterns = [url('^class/([^/]+)/?$', views.puppet_class, name=
'puppet-class'), url('^edit-host/(?P<fqdn>[^/]+)?/?$', views.edit_host,
name='edit-host'), url('^add-host/(?P<fqdn>[^/]+)?/?$', views.add_host,
name='ad... | flexible | {
"blob_id": "add56d52f3c88f814a166d12c3bc5a5906268864",
"index": 484,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [url('^class/([^/]+)/?$', views.puppet_class, name=\n 'puppet-class'), url('^edit-host/(?P<fqdn>[^/]+)?/?$', views.edit_host,\n name='edit-host'), url('^add-host/(?P<fq... | [
0,
1,
2,
3
] |
# Reference: https://docs.python.org/2/library/unittest.html
import unittest
import sys
sys.path.append('..')
from database_utils import DatabaseUtils
class Test_DatabaseUtils(unittest.TestCase):
def setUp(self):
self.db=DatabaseUtils()
def dataCount(self):
with self.db.connection.cursor()... | normal | {
"blob_id": "ff8e8af72a8eb97a392fcfec5960eed7a2e51f68",
"index": 9211,
"step-1": "<mask token>\n\n\nclass Test_DatabaseUtils(unittest.TestCase):\n\n def setUp(self):\n self.db = DatabaseUtils()\n <mask token>\n\n def test_getUser(self):\n count = self.dataCount()\n try:\n ... | [
9,
10,
13,
17,
18
] |
from flask import render_template, url_for, escape, redirect, abort
from app import core
from database import db
@core.route('/post')
@core.route('/categorie')
@core.route('/tag')
def returnToHome():
return redirect(url_for('home'))
| normal | {
"blob_id": "c27d6279d1ea84bab3c0abd4ca9a08de202219da",
"index": 1748,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@core.route('/post')\n@core.route('/categorie')\n@core.route('/tag')\ndef returnToHome():\n return redirect(url_for('home'))\n",
"step-3": "from flask import render_template, url... | [
0,
1,
2
] |
def assert_number(arg):
if not isinstance(arg, (int, float)):
raise TypeError(f"Expected number, got {type(arg)}")
| normal | {
"blob_id": "2de62c73507acac597d70557adfe8286e2f28a1f",
"index": 5569,
"step-1": "<mask token>\n",
"step-2": "def assert_number(arg):\n if not isinstance(arg, (int, float)):\n raise TypeError(f'Expected number, got {type(arg)}')\n",
"step-3": "def assert_number(arg):\n if not isinstance(arg, (in... | [
0,
1,
2
] |
<|reserved_special_token_0|>
def get_char():
global next_c, limit
if next_c == limit:
next_c = 0
limit = read(0, 100)
if limit == 0:
return ''
if next_c >= len(limit) - 1:
return ''
ch = chr(limit[next_c])
next_c += 1
return ch
<|reserved_special_t... | flexible | {
"blob_id": "67ac5d82bc37b67cfdae73b6667b73b70ed33cfb",
"index": 8868,
"step-1": "<mask token>\n\n\ndef get_char():\n global next_c, limit\n if next_c == limit:\n next_c = 0\n limit = read(0, 100)\n if limit == 0:\n return ''\n if next_c >= len(limit) - 1:\n return... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
with open('dummyoutput.txt', 'r') as file_object:
data = file_object.readlines()
for line in data:
words = line.split(';')
for i in range(1, len(words), 4):
if db.get(words[i], 0) != 0:
... | flexible | {
"blob_id": "69eb62ba47a63cf007334c777709b0513d75f396",
"index": 1504,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('dummyoutput.txt', 'r') as file_object:\n data = file_object.readlines()\n for line in data:\n words = line.split(';')\n for i in range(1, len(words), 4):\n ... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu May 21 11:40:26 2020
@author: jlee
"""
import time
start_time = time.time()
import numpy as np
import glob, os
from astropy.io import fits
import init_cfg as ic
# ----- Making scripts for PSFEx ----- #
os.system("psfex -dd > config.psfex")
if ic.... | normal | {
"blob_id": "c23125018a77508dad6fd2cb86ec6d556fbd1019",
"index": 90,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nos.system('psfex -dd > config.psfex')\nif ic.use_backsub:\n prefix = 'b'\nelse:\n prefix = ''\n<mask token>\nf.write('\\n')\nf.write('#############################' + '\\n')\nf.write(... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class CMD(Cmd):
def __init__(self):
pass
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def do_drawCard(self):
pass
<|reserved_special_token_0|>
def do_fight(self):
pass
def do_save(self, f... | flexible | {
"blob_id": "03a024140d8d0136bf9838f8942539f6d19bb351",
"index": 1866,
"step-1": "<mask token>\n\n\nclass CMD(Cmd):\n\n def __init__(self):\n pass\n <mask token>\n <mask token>\n <mask token>\n\n def do_drawCard(self):\n pass\n <mask token>\n\n def do_fight(self):\n pass... | [
7,
11,
12,
13,
15
] |
from django.http import HttpResponseRedirect
from django.shortcuts import render
__author__ = 'jhonjairoroa87'
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework_jsonp.renderers import JSONPRenderer
from django.db import models
from .form import NameForm
def mu... | normal | {
"blob_id": "4c483636316dfa660f10b1aba900813bc3e95ebe",
"index": 9463,
"step-1": "<mask token>\n\n\nclass Divide(APIView):\n renderer_classes = JSONPRenderer,\n\n @staticmethod\n def get(request):\n try:\n first_number = int(request.GET.get('a'))\n second_number = int(reques... | [
3,
6,
9,
10,
11
] |
<|reserved_special_token_0|>
class TestExperimentOpen(unittest.TestCase):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserve... | flexible | {
"blob_id": "dfee0407eaed7b1ab96467874bbfe6463865bcb4",
"index": 6238,
"step-1": "<mask token>\n\n\nclass TestExperimentOpen(unittest.TestCase):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass TestMalformed... | [
18,
19,
24,
27,
29
] |
import os
def take_shot(filename):
os.system("screencapture "+filename+".png")
| normal | {
"blob_id": "f4c90a6d6afdcf78ec6742b1924a5c854a5a4ed6",
"index": 1825,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef take_shot(filename):\n os.system('screencapture ' + filename + '.png')\n",
"step-3": "import os\n\n\ndef take_shot(filename):\n os.system('screencapture ' + filename + '.p... | [
0,
1,
2,
3
] |
import os
from typing import Union, Tuple, List
import pandas as pd
from flags import FLAGS
from helpers import load_from_pickle, decode_class, sort_results_by_metric
ROOT = FLAGS.ROOT
RESULTS_FOLDER = FLAGS.RESULTS_FOLDER
FULL_PATH_TO_CHECKPOINTS = os.path.join(ROOT, RESULTS_FOLDER, "checkpoints")
def eval_resul... | normal | {
"blob_id": "5447bd3b08c22913ae50ee66ee81554d2357ef3e",
"index": 3991,
"step-1": "<mask token>\n\n\ndef eval_results(time_stamps: Union[Tuple, List], excel_file_path=os.path.\n join(FULL_PATH_TO_CHECKPOINTS, f'xVal_results.xlsx')):\n with pd.ExcelWriter(excel_file_path, mode='w') as writer:\n for ts... | [
1,
2,
3,
4,
5
] |
__author__ = 'Jager'
from char import Character
class Rouge (Character):
def special_attack1(self, opponent, hitdamage_callback, specatt_callback):
pass # hook method
def special_attack2(self, opponent, hitdamage_callback, specatt_callback):
pass # hook method
def heal(self, target... | normal | {
"blob_id": "36991c3191ba48b1b9dbd843e279f8fe124f1339",
"index": 73,
"step-1": "<mask token>\n\n\nclass Rouge(Character):\n\n def special_attack1(self, opponent, hitdamage_callback, specatt_callback):\n pass\n\n def special_attack2(self, opponent, hitdamage_callback, specatt_callback):\n pass... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def parse_mapdata_test():
current_folder = os.path.dirname(os.path.realpath(__file__))
misc_folder = os.path.join(current_folder, 'misc')
maplistdata_path = os.path.join(misc_folder, 'MapList.dat')
result = copy.... | flexible | {
"blob_id": "4dfdbc692858a627248cbe47d19b43c2a27ec70e",
"index": 7373,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef parse_mapdata_test():\n current_folder = os.path.dirname(os.path.realpath(__file__))\n misc_folder = os.path.join(current_folder, 'misc')\n maplistdata_path = os.path.joi... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
while True:
password = ''.join(secrets.choice(alphabets) for i in range(10))
if any(c.islower() for c in password) and any(c.isupper() for c in password
) and sum(c.isdigit() for c in password) >= 3:
print(... | flexible | {
"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
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
urlpatterns = [path('admin/', admin.site.urls), path('', include(
'blog.urls', namespace='blog')), url('^hello/([0-9]{4})/$', view.hello),
url('^ifor/', view.ifor)]
<|reserved_special_token_0|>
<|reserved_special_token_1... | flexible | {
"blob_id": "a470aad80e47b244811e4d9aed4a630ba36a8daf",
"index": 4112,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [path('admin/', admin.site.urls), path('', include(\n 'blog.urls', namespace='blog')), url('^hello/([0-9]{4})/$', view.hello),\n url('^ifor/', view.ifor)]\n<mask token... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
while num > 1:
for i in range(2, num + 1):
if num % i == 0:
a.append(i)
num = num // i
break
print('%d =' % original, end='')
for i in range(len(a) - 1):
print(a[i], end='*')
pri... | flexible | {
"blob_id": "78e72bf3ac73113e2c71caf5aed70b53cafa9c46",
"index": 3413,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile num > 1:\n for i in range(2, num + 1):\n if num % i == 0:\n a.append(i)\n num = num // i\n break\nprint('%d =' % original, end='')\nfor i ... | [
0,
1,
2,
3
] |
from tkinter import*
from tkinter import filedialog
import sqlite3
class Gui:
def __init__(self):
global en3
self.scr = Tk()
self.scr.geometry("2000x3000")
self.scr.title("VIEWING DATABASE")
self.connection = sqlite3.connect("student_details.db")
... | normal | {
"blob_id": "4c6b04716f41c3413896f0d59f2cc9b1475d7f64",
"index": 5164,
"step-1": "<mask token>\n\n\nclass Gui:\n <mask token>\n\n def insert_data(self):\n self.id = e.get()\n self.name1 = e1.get()\n self.fathername = e2.get()\n self.mothername = e3.get()\n self.cont = e4.... | [
9,
12,
17,
18,
20
] |
import random
from z3 import *
def combine(iter):
tmp_list = [i for i in iter]
res = tmp_list[0]
for i in tmp_list[1:]:
res += i
return res
def co_prime(num1, num2):
for num in range(2, min(num1, num2) + 1):
if num1 % num == 0 and num2 % num == 0:
return False
re... | normal | {
"blob_id": "81fce5314a7611de11648e412151112e29271871",
"index": 4626,
"step-1": "<mask token>\n\n\nclass FormulaTemplate:\n\n def __init__(self, vi, w, k, h, m, timeout=3000000):\n self.k = k\n self.h = h\n self.m = m\n self.w = w\n self.vi = vi\n n = len(vi)\n ... | [
11,
14,
15,
16,
22
] |
<|reserved_special_token_0|>
def test_linearSVC(*data):
X_train, X_test, y_train, y_test = data
cls = svm.LinearSVC()
cls.fit(X_train, y_train)
print('Coefficients:%s,Intercept:%s' % (cls.coef_, cls.intercept_))
print('Scors:%.2f' % cls.score(X_test, y_test))
def test_SVC_linear(*data):
X_tr... | flexible | {
"blob_id": "49995e60b817e2c5a2ea7e85e4fe96ca95363cb2",
"index": 2148,
"step-1": "<mask token>\n\n\ndef test_linearSVC(*data):\n X_train, X_test, y_train, y_test = data\n cls = svm.LinearSVC()\n cls.fit(X_train, y_train)\n print('Coefficients:%s,Intercept:%s' % (cls.coef_, cls.intercept_))\n print... | [
5,
6,
7,
8,
10
] |
<|reserved_special_token_0|>
class UniformBall(mc.Gibbs):
def __init__(self, stochastic, others, verbose=None):
self.others = others
self.conjugate = True
mc.Gibbs.__init__(self, stochastic, verbose)
def propose(self):
x_other = [X_i.value for X_i in self.others]
max_... | flexible | {
"blob_id": "8283bdab023e22bba3d8a05f8bda0014ee19adee",
"index": 4286,
"step-1": "<mask token>\n\n\nclass UniformBall(mc.Gibbs):\n\n def __init__(self, stochastic, others, verbose=None):\n self.others = others\n self.conjugate = True\n mc.Gibbs.__init__(self, stochastic, verbose)\n\n d... | [
3,
6,
7,
8,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
dependencies = [(... | flexible | {
"blob_id": "2f7be68f08716d5d04d064d81eecb53eb9b80174",
"index": 7635,
"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 = [('productores... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class MultiSkin_UI(MayaQWidgetDockableMixin, QtWidgets.QDialog):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def widgetsAndLayouts(self):
def addLine():
line = QtWidgets.QFrame()
line.setFrameShap... | flexible | {
"blob_id": "819607d89035413fc2800e9f16222619a74a5d64",
"index": 6429,
"step-1": "<mask token>\n\n\nclass MultiSkin_UI(MayaQWidgetDockableMixin, QtWidgets.QDialog):\n <mask token>\n <mask token>\n <mask token>\n\n def widgetsAndLayouts(self):\n\n def addLine():\n line = QtWidgets.QF... | [
17,
18,
23,
24,
28
] |
<|reserved_special_token_0|>
class Event(db.Model):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
... | flexible | {
"blob_id": "f3167d8f1a806c38fb10672605d8e94265d2fc9c",
"index": 723,
"step-1": "<mask token>\n\n\nclass Event(db.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask ... | [
4,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
def rating_msg(rating):
if rating > 80:
return 'You should watch this movie right now!\n'
elif rating < 50:
return 'Avoid this movie at all cost!\n'
else:
return ''
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_... | flexible | {
"blob_id": "7f33effa86fc3a80fce0e5e1ecf97ab4ca80402d",
"index": 1833,
"step-1": "<mask token>\n\n\ndef rating_msg(rating):\n if rating > 80:\n return 'You should watch this movie right now!\\n'\n elif rating < 50:\n return 'Avoid this movie at all cost!\\n'\n else:\n return ''\n\n\... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
config_info = {'n_input': 1, 'num_layers': 1, 'features': 20,
'sequence_length': 1344, 'num_steps': None, 'lstm_size': None,
'batch_size': None, 'init_learning_rate': None, 'learning_rate_decay':
None, 'init_epoch': None, 'max_epoch': None, 'dropo... | flexible | {
"blob_id": "8ede786526f4b730173777d9d3b9c7e4554fc887",
"index": 2443,
"step-1": "<mask token>\n",
"step-2": "config_info = {'n_input': 1, 'num_layers': 1, 'features': 20,\n 'sequence_length': 1344, 'num_steps': None, 'lstm_size': None,\n 'batch_size': None, 'init_learning_rate': None, 'learning_rate_dec... | [
0,
1
] |
from abc import ABC
from rest_framework import serializers
from shopping_cars.models import Order, ShoppingCart
class OrderSerializer(serializers.ModelSerializer):
class Meta:
model = Order
fields = '__all__'
class OrderProductSerializer(serializers.ModelSerializer):
class Meta:
mode... | normal | {
"blob_id": "9c14f024b25c5014567405535dbe5a6c787cfe28",
"index": 6529,
"step-1": "<mask token>\n\n\nclass OrderProductSerializer(serializers.ModelSerializer):\n\n\n class Meta:\n model = ShoppingCart\n fields = '__all__'\n\n def validate_quantity(self, value):\n if value <= 0:\n ... | [
2,
3,
5,
6,
7
] |
<|reserved_special_token_0|>
def register_extensions(app):
"""Register Flask extensions."""
assets.init_app(app)
hashing.init_app(app)
cache.init_app(app)
db.init_app(app)
login_manager.init_app(app)
migrate.init_app(app, db)
init_mailman(app)
init_talisman(app)
return None
<... | flexible | {
"blob_id": "2257f73a290dfd428a874e963c26e51f1c1f1efa",
"index": 927,
"step-1": "<mask token>\n\n\ndef register_extensions(app):\n \"\"\"Register Flask extensions.\"\"\"\n assets.init_app(app)\n hashing.init_app(app)\n cache.init_app(app)\n db.init_app(app)\n login_manager.init_app(app)\n mi... | [
5,
9,
10,
12,
14
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def get_teacherData():
excelDir = '../data/松勤-教管系统接口测试用例-v1.4.xls'
workBook = xlrd.open_workbook(excelDir, formatting_info=True)
workSheet = workBook.sheet_by_name('3-老师模块')
dataList = []
for cnt in range(1, ... | flexible | {
"blob_id": "d7dee3311e202ae50172077940fc625f1cc6836d",
"index": 1429,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef get_teacherData():\n excelDir = '../data/松勤-教管系统接口测试用例-v1.4.xls'\n workBook = xlrd.open_workbook(excelDir, formatting_info=True)\n workSheet = workBook.sheet_by_name('3-老... | [
0,
1,
2,
3,
4
] |
from app import db
class OrgStaff(db.Model):
__tablename__ = 'org_staff'
id = db.Column(db.Integer, primary_key=True)
user_id = db.Column(db.Integer, db.ForeignKey('users.id', ondelete="CASCADE"))
invited_by = db.Column(db.Integer, db.ForeignKey('users.id', ondelete="CASCADE"))
org_id = db.Column(... | normal | {
"blob_id": "b0f92b5e4cc972aca84a29b4568e85836f155273",
"index": 3774,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass OrgStaff(db.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask to... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python
import h5py
class HDF5_Parser(object): # noqa: N801
"""
Examples
--------
>>> import h5py
>>> indata = h5py.File('test.hdf5')
>>> dataset = indata.create_dataset("mydataset", (10,), dtype='i')
>>> indata.close()
>>> with open('test.hdf5') as f:
... da... | normal | {
"blob_id": "0beb5c5c5db9247d66a5a49cfff7282ead52a9b7",
"index": 716,
"step-1": "<mask token>\n\n\nclass HDF5_Parser(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def read_file(self, file_obj, **kwargs):\n return h5py.File(file_obj.name, mode='r')\n",
"step-2": ... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Test_Proxy:
def __init__(self):
self.db = RedisClient()
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Test_Proxy:
def __init__(self):
self.d... | flexible | {
"blob_id": "2cbdb828ab6e0ad44154f0c5b2a1d807fd0d2520",
"index": 8783,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Test_Proxy:\n\n def __init__(self):\n self.db = RedisClient()\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Test_Proxy:\n\n def __init__(self):\n ... | [
0,
2,
3,
4,
5
] |
# Generated by Django 3.1.2 on 2020-10-17 15:46
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('story1', '0006_visitor'),
]
operations = [
migrations.RenameField(
model_name='visitor',
old_name='identitiy_n... | normal | {
"blob_id": "1aaace83af0235341d10b8ac3b47d00a944dac37",
"index": 1422,
"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 = [('story1', '0... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def test_pixel_image():
pi = PixelImage((1, 3, 128, 128), 0.01)
pi()
start = torch.randn(3, 128, 128)
pi = PixelImage((1, 3, 128, 128), init_img=start)
assert start.allclose(pi() + 0.5, atol=1e-07)
<|reserved_special_token_0|>
def test_parameterized_img():
star... | flexible | {
"blob_id": "73cacc1317c8624b45c017144bc7449bc99bd045",
"index": 9542,
"step-1": "<mask token>\n\n\ndef test_pixel_image():\n pi = PixelImage((1, 3, 128, 128), 0.01)\n pi()\n start = torch.randn(3, 128, 128)\n pi = PixelImage((1, 3, 128, 128), init_img=start)\n assert start.allclose(pi() + 0.5, at... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
def roundMultiple(num, multiple):
if num % multiple:
return num + (multiple - num % multiple)
return num
<|reserved_special_token_0|>
def incrementStats(msgChannel, statsFile, winner, losers):
data = readDB(statsFile)
if data == 0:
return ERROR_DB_NOT_F... | flexible | {
"blob_id": "5869669f1e3f648c0ddc68683f0b1d2754b40169",
"index": 8714,
"step-1": "<mask token>\n\n\ndef roundMultiple(num, multiple):\n if num % multiple:\n return num + (multiple - num % multiple)\n return num\n\n\n<mask token>\n\n\ndef incrementStats(msgChannel, statsFile, winner, losers):\n da... | [
4,
5,
6,
7,
9
] |
<|reserved_special_token_0|>
class LogoutView(APIView):
def get(self, request):
logout(request)
return Response({'response': 'logged out'}, status=status.HTTP_200_OK)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class RegistrationView(APIView):
<|reserved_special_token_0|>
... | flexible | {
"blob_id": "6a5a6bdb0740d51426aa8b36dd3cc317103412b1",
"index": 641,
"step-1": "<mask token>\n\n\nclass LogoutView(APIView):\n\n def get(self, request):\n logout(request)\n return Response({'response': 'logged out'}, status=status.HTTP_200_OK)\n",
"step-2": "<mask token>\n\n\nclass Registrati... | [
2,
4,
5,
6,
7
] |
#!/usr/bin/env python
# set up parameters that we care about
PACKAGE = 'jsk_pcl_ros'
from dynamic_reconfigure.parameter_generator_catkin import *;
from math import pi
gen = ParameterGenerator ()
gen.add("segment_connect_normal_threshold", double_t, 0,
"threshold of normal to connect clusters", 0.9, 0.0, 1.0... | normal | {
"blob_id": "7127df5515e93e27b431c57bec1709475fec8388",
"index": 5238,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ngen.add('segment_connect_normal_threshold', double_t, 0,\n 'threshold of normal to connect clusters', 0.9, 0.0, 1.0)\ngen.add('ewma_tau', double_t, 0,\n 'tau parameter of EWMA to co... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def spacePortMenu(player, planet):
global turnCounter
while True:
cleanScreen()
print('****W*E*L*C*O*M*E****T*O****T*H*E****S*P*A*C*E*P*O*R*T****')
print('Enter 1 to jump to a agri planet (risk 5%)')
print('Enter 2 to jump to a tech planet (risk 10... | flexible | {
"blob_id": "97611fef5faafe660c7640e4a5aec8456e52135c",
"index": 9960,
"step-1": "<mask token>\n\n\ndef spacePortMenu(player, planet):\n global turnCounter\n while True:\n cleanScreen()\n print('****W*E*L*C*O*M*E****T*O****T*H*E****S*P*A*C*E*P*O*R*T****')\n print('Enter 1 to jump to a ... | [
2,
5,
8,
9,
10
] |
# -*- coding: utf-8 -*-
# Project = https://github.com/super-l/search-url.git
# Author = superl
# Blog = www.superl.org QQ:86717375
# Team = Code Security Team(C.S.T) | 铭剑创鼎
import urllib2
import re
import ConfigParser
from lib.filter import *
from lib.getdata import *
from lib.count import *
from lib.status... | normal | {
"blob_id": "b724b04c6303cc9021539ad7df5a198000491029",
"index": 5436,
"step-1": "<mask token>\n\n\nclass Baidu:\n <mask token>\n <mask token>\n\n def __init__(self, count):\n cfg = ConfigParser.ConfigParser()\n cfg.read('config/setting.conf')\n self.baidu_page_size = int(cfg.get('s... | [
2,
3,
4,
5,
6
] |
import sqlite3
if __name__ == '__main__':
conn = sqlite3.connect('donations.sqlite')
c = conn.cursor()
query = """DROP TABLE IF EXISTS factions;"""
c.execute(query)
query = """DROP TABLE IF EXISTS members;"""
c.execute(query)
query = """DROP TABLE IF EXISTS bank;"""
c.execute(query)
... | normal | {
"blob_id": "b6b8dfaa9644fa4f4c250358b89f4a30c26c317f",
"index": 4788,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n conn = sqlite3.connect('donations.sqlite')\n c = conn.cursor()\n query = 'DROP TABLE IF EXISTS factions;'\n c.execute(query)\n query = 'DROP TA... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def view():
connect = sqlite3.connect('books.db')
cursor = connect.cursor()
cursor.execute('SELECT * FROM bookstore')
books = cursor.fetchall()
connect.close()
return books
<|reserved_special_token_0|>
def delete(id):
connect = sqlite3.connect('books.db')
... | flexible | {
"blob_id": "d7d23b04f6e73db6a0a8730192398941743f32ce",
"index": 6800,
"step-1": "<mask token>\n\n\ndef view():\n connect = sqlite3.connect('books.db')\n cursor = connect.cursor()\n cursor.execute('SELECT * FROM bookstore')\n books = cursor.fetchall()\n connect.close()\n return books\n\n\n<mask... | [
4,
6,
7,
8,
10
] |
import json
import time
from pytest_influxdb.data_manager import DataManager
class SuiteResultDTO:
__run = 'UNDEFINED'
__project = 'UNDEFINED'
__version = 'UNDEFINED'
__passed = None
__failed = None
__skipped = None
__error = None
__duration_sec = 0
__disabled = 0
__retries = ... | normal | {
"blob_id": "84c3427a994bd6c57d9fa8449e4fc7a3de801170",
"index": 9271,
"step-1": "<mask token>\n\n\nclass SuiteResultDTO:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask ... | [
13,
14,
15,
16,
21
] |
import sys
from . import cli
def main() ->None:
try:
command = sys.argv[0]
args = sys.argv[1:]
cli.main(command, args)
except KeyboardInterrupt:
pass
| normal | {
"blob_id": "9969dcf820a5ff34b483593cd43e4dfba9588ed2",
"index": 4348,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main() ->None:\n try:\n command = sys.argv[0]\n args = sys.argv[1:]\n cli.main(command, args)\n except KeyboardInterrupt:\n pass\n",
"step-3": ... | [
0,
1,
2
] |
<|reserved_special_token_0|>
def replaceNode(nfa, old, new):
if DEBUG:
print('R_Start(%s, %s) ---' % (old, new), nfa)
if old in nfa._deltas:
for input in nfa._deltas[old]:
nfa.addDelta(new, input, nfa._deltas[old][input])
del nfa._deltas[old]
if DEBUG:
print('R_... | flexible | {
"blob_id": "2fe20f28fc7bba6b8188f5068e2b3c8b87c15edc",
"index": 94,
"step-1": "<mask token>\n\n\ndef replaceNode(nfa, old, new):\n if DEBUG:\n print('R_Start(%s, %s) ---' % (old, new), nfa)\n if old in nfa._deltas:\n for input in nfa._deltas[old]:\n nfa.addDelta(new, input, nfa._d... | [
8,
9,
11,
13,
14
] |
def solution(record):
answer = []
arr = dict()
history = []
for i in record:
tmp = i.split()
if tmp[0] == "Enter" :
arr[tmp[1]] = tmp[2]
history.append([tmp[1], "님이 들어왔습니다."])
elif tmp[0] == "Leave" :
history.append([tmp[1], "님이 나갔습니다."])
... | normal | {
"blob_id": "d9f66cc3ba40292c49da08d7573d4c605a2771ae",
"index": 3730,
"step-1": "<mask token>\n",
"step-2": "def solution(record):\n answer = []\n arr = dict()\n history = []\n for i in record:\n tmp = i.split()\n if tmp[0] == 'Enter':\n arr[tmp[1]] = tmp[2]\n h... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
with open(good_testfile, 'r') as f:
print('预测数据集： ' + good_testfile)
preicdtlist = [i.strip('\n') for i in f.readlines()[:]]
result = a.predict(preicdtlist)
print('恶意结果 前10条' + str(result[1][:10]))
print('正常结果 ... | flexible | {
"blob_id": "e627bcc6c9a49d46190cc793a77103aa0a760989",
"index": 1709,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open(good_testfile, 'r') as f:\n print('预测数据集： ' + good_testfile)\n preicdtlist = [i.strip('\\n') for i in f.readlines()[:]]\n result = a.predict(preicdtlist)\n print('恶意... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def paragraph_spacing():
doc = SimpleDocTemplate('paragraph_spacing.pdf', pagesize=letter)
styles = getSampleStyleSheet()
styles['Normal'].spaceBefore = 10
styles['Normal'].spaceAfter = 10
flowables = []
... | flexible | {
"blob_id": "d79e65b7aa09066230dec1a472f4535dff4123b5",
"index": 4217,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef paragraph_spacing():\n doc = SimpleDocTemplate('paragraph_spacing.pdf', pagesize=letter)\n styles = getSampleStyleSheet()\n styles['Normal'].spaceBefore = 10\n styles[... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python
import os
import re
import pycolor
import sys
pyc = pycolor.pyColor()
def decompile(mainapk):
print pyc.Info("Decompiling apks...")
os.system("bash apktool.sh d -f %s"%mainapk)
os.system("bash apktool.sh d -f temp.apk")
def inject(mainapk):
print pyc.Info("Injecting payload...")
mk = "mkd... | normal | {
"blob_id": "fcc73647a5e841bcb5ea4fcd06579cc6912cfe1e",
"index": 435,
"step-1": "#!/usr/bin/env python\n\nimport os\nimport re\nimport pycolor\nimport sys\n\npyc = pycolor.pyColor()\n\ndef decompile(mainapk):\n\tprint pyc.Info(\"Decompiling apks...\")\n\tos.system(\"bash apktool.sh d -f %s\"%mainapk)\n\tos.syste... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main():
parser = argparse.ArgumentParser(prog='update_test_files.py')
parser.add_argument('--tests', dest='tests_dir', required=True, help=
'The path to the existing RSMTool tests directory')
parser.add_a... | flexible | {
"blob_id": "7e20c61fa30ea93e69a2479e70449638eb52b7bb",
"index": 2964,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n parser = argparse.ArgumentParser(prog='update_test_files.py')\n parser.add_argument('--tests', dest='tests_dir', required=True, help=\n 'The path to the exi... | [
0,
1,
2,
3,
4
] |
from django.urls import path, re_path
from app.views import UploaderAPIView, TeacherListAPIView, TeacherDetailAPIView
app_name = "directory"
urlpatterns = [
re_path(r"^directory/uploader/?$", UploaderAPIView.as_view(), name="teacher_uploader"),
re_path(r"^directory/teachers/?$", TeacherListAPIView.as_view(), ... | normal | {
"blob_id": "666e839b4d66dc4eede4e7325bfd4f4b801fd47d",
"index": 5330,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napp_name = 'directory'\nurlpatterns = [re_path('^directory/uploader/?$', UploaderAPIView.as_view(),\n name='teacher_uploader'), re_path('^directory/teachers/?$',\n TeacherListAPIVie... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
while x > 0:
print(x), time.sleep(1)
x = x - 1
while x == 0:
print('MEOW')
webbrowser.open('https://www.youtube.com/watch?v=IuysY1BekOE')
<|reserved_special_token_1|>
<|reserved_special_token_0|>
x = 10
while x ... | flexible | {
"blob_id": "4d31357936ce53b2be5f9a952b99df58baffe7ea",
"index": 4937,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile x > 0:\n print(x), time.sleep(1)\n x = x - 1\nwhile x == 0:\n print('MEOW')\n webbrowser.open('https://www.youtube.com/watch?v=IuysY1BekOE')\n",
"step-3": "<mask token... | [
0,
1,
2,
3,
4
] |
class FieldDesigner:
"""
Designs a field for BattleShips, accepts field height and width
"""
def __init__(
self,
):
self.field = []
def design_field(
self,
height,
width,
):
self.field = [[
'~' for __
... | normal | {
"blob_id": "c812419e7e024b0bb1207832b2b4a726ef61b272",
"index": 9137,
"step-1": "class FieldDesigner:\n <mask token>\n <mask token>\n <mask token>\n\n def __str__(self):\n return '\\n'.join(map(str, self.field))\n",
"step-2": "class FieldDesigner:\n <mask token>\n\n def __init__(self)... | [
2,
3,
4,
5,
6
] |
import numpy as np
from nn.feedforward_nn import Feed_Forward
class RMSprop(object):
def __init__(self,n_in,n_hid,n_out,regularization_coe):
self.nn = Feed_Forward(n_in,n_hid,n_out,regularization_coe)
def set_param(self,param):
if 'learning_rate' in param.keys():
self.learning_rat... | normal | {
"blob_id": "f971302f39149bcdcbe4237cc71219572db600d4",
"index": 8720,
"step-1": "<mask token>\n\n\nclass RMSprop(object):\n\n def __init__(self, n_in, n_hid, n_out, regularization_coe):\n self.nn = Feed_Forward(n_in, n_hid, n_out, regularization_coe)\n <mask token>\n <mask token>\n <mask toke... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
try:
from setuptools import setup, find_packages
except ImportError:
import ez_setup
ez_setup.use_setuptools()
from setuptools import setup, find_packages
setup(name='pip-utils', version='0.0.1', url=
'https://github.com/mattpaletta/pip-ut... | flexible | {
"blob_id": "5fe81a6143642d671686c6623a9ecc93e04a82bf",
"index": 5711,
"step-1": "<mask token>\n",
"step-2": "try:\n from setuptools import setup, find_packages\nexcept ImportError:\n import ez_setup\n ez_setup.use_setuptools()\n from setuptools import setup, find_packages\nsetup(name='pip-utils', ... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class Ensambler(object):
def __init__(self, fileName):
self.fileName = fileName
self.fileLines = []
self.cl = 0
self.size = 0
self.code = ''
self.instruction = ''
self.num_ope = 0
self.operands = []
self.TS = {}
... | flexible | {
"blob_id": "3bc009271c7dd34ad09bcef81214387b63dfac59",
"index": 2549,
"step-1": "<mask token>\n\n\nclass Ensambler(object):\n\n def __init__(self, fileName):\n self.fileName = fileName\n self.fileLines = []\n self.cl = 0\n self.size = 0\n self.code = ''\n self.instru... | [
7,
8,
9,
10,
12
] |
from django.db import models
class crontab(models.Model):
name = models.CharField(max_length=20)
class converter(models.Model):
name = models.CharField(max_length=20)
class MainTable(models.Model):
rank = models.IntegerField(null=True)
coinid = models.CharField(max_length=30,null=True)
symbol = ... | normal | {
"blob_id": "0054921928838d9aee63cf58f50a0a01ee12635d",
"index": 6049,
"step-1": "<mask token>\n\n\nclass Table(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass Price(models.Model):\n price = models.FloatField(null=True)\n\n\nclass Marketdata(... | [
5,
6,
10,
12,
14
] |
from argparse import ArgumentParser, Namespace
def parse_arguments() ->Namespace:
"""
Parse arguments
:return: Arguments
"""
parser = ArgumentParser(description=
'DLP project: Stock Prediction using Transformer')
parser.add_argument('-e', '--epochs', default=10, type=int, help=
... | normal | {
"blob_id": "81573b4a57f540733ff2faaf82bab78381b9dd46",
"index": 1194,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef parse_arguments() ->Namespace:\n \"\"\"\n Parse arguments\n :return: Arguments\n \"\"\"\n parser = ArgumentParser(description=\n 'DLP project: Stock Predicti... | [
0,
1,
2
] |
#===============================================================================
# @author: Daniel V. Stankevich
# @organization: RMIT, School of Computer Science, 2012
#
#
# This package contains representations of the following models:
# 'Particle' - an atomic element
# 'Swarm' - a set of p... | normal | {
"blob_id": "5c06229f8e80a7225620f25941cc5276a9021e53",
"index": 5353,
"step-1": "<mask token>\n\n\nclass SwarmModel:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass NeighbourhoodModel:\n _particles = []\n _bestPosition = None\n _bestPositionFitness =... | [
10,
11,
12,
15,
16
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def sim_data():
n_samples = random.randint(500, 5000)
n_features = random.randint(5, 25)
n_informative = random.randint(5, n_features)
noise = random.uniform(0.5, 2)
X, y = make_regression(n_samples=n_samples... | flexible | {
"blob_id": "c4aa5869d5f916f13aa924c19dc9792337619b31",
"index": 4011,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef sim_data():\n n_samples = random.randint(500, 5000)\n n_features = random.randint(5, 25)\n n_informative = random.randint(5, n_features)\n noise = random.uniform(0.5, ... | [
0,
1,
2,
3
] |
"""
Pide una cadena y un carácter por teclado y muestra cuantas veces aparece el carácter en la cadena.
Autor: David Galván Fontalba
Fecha: 27/10/2019
Algoritmo:
Pido un cadena
Pido un caracter
contador en 0
Hago una variable que empieza siendo 0, i
mientras i <= len(cadena)
si cadena[i] == caracter
... | normal | {
"blob_id": "65301be73bb56147609a103a932266013c3c0bd6",
"index": 1148,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(\n 'Bienvenido a este programa para que introduzcas una frase y un carácter, y decirte cuántas veces aparece ese carácter en tu frase.'\n )\nprint(\n \"\"\"----------------... | [
0,
1,
2,
3
] |
""" Image Check / Compress Image"""
import re
import os
from PIL import Image
from common.constant import PATH
def check_image(file_type):
match = re.match("image/*", file_type)
return match
def compress_image(data):
with open(PATH.format(data['name']), 'wb+') as file:
file.write(data['binary'... | normal | {
"blob_id": "13fa650557a4a8827c9fb2e514bed178df19a32c",
"index": 1295,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef check_image(file_type):\n match = re.match('image/*', file_type)\n return match\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef check_image(file_type):\n match =... | [
0,
1,
2,
3,
4
] |
from dai_imports import*
from obj_utils import*
import utils
class my_image_csv_dataset(Dataset):
def __init__(self, data_dir, data, transforms_ = None, obj = False,
minorities = None, diffs = None, bal_tfms = None):
self.data_dir = data_dir
self.data = data
... | normal | {
"blob_id": "5b8c95354f8b27eff8226ace52ab9e97f98ae217",
"index": 80,
"step-1": "<mask token>\n\n\nclass my_image_csv_dataset(Dataset):\n\n def __init__(self, data_dir, data, transforms_=None, obj=False,\n minorities=None, diffs=None, bal_tfms=None):\n self.data_dir = data_dir\n self.data ... | [
15,
16,
19,
25,
29
] |
"""
Tests for parsers.py
@author Kevin Wilson <khwilson@gmail.com>
"""
import crisis.parsers as undertest
import datetime
import unittest
class TestParsers(unittest.TestCase):
def test_parse_date(self):
date = '8/5/2013 16:14'
self.assertEqual(datetime.datetime(2013, 8, 5, 16, 14),
undertest.parse_date(da... | normal | {
"blob_id": "253d37f29e33f61d7e1a5ec2f9a1d6307a2ae108",
"index": 6921,
"step-1": "<mask token>\n\n\nclass TestParsers(unittest.TestCase):\n <mask token>\n\n def test_part_date_short(self):\n date = '8/5/13 16:14'\n self.assertEqual(datetime.datetime(2013, 8, 5, 16, 14), undertest.\n ... | [
3,
4,
5,
6,
7
] |
from setuptools import setup, find_packages
from os.path import join, dirname, abspath
import io
here = abspath(dirname(__file__))
with open(join(here, 'VERSION')) as VERSION_FILE:
__versionstr__ = VERSION_FILE.read().strip()
with open(join(here, 'requirements.txt')) as REQUIREMENTS:
INSTALL_REQUIRES = REQU... | normal | {
"blob_id": "8d5978bc579115eb3065dce1bae08f1790f2d83c",
"index": 2832,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open(join(here, 'VERSION')) as VERSION_FILE:\n __versionstr__ = VERSION_FILE.read().strip()\nwith open(join(here, 'requirements.txt')) as REQUIREMENTS:\n INSTALL_REQUIRES = REQ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def parse_detail_for_one_course(page, course, no_info_course):
print(f"{course['name']} is processing**: {course['url']}")
map = {'Locatie': 'location', 'Location': 'location', 'Startdatum':
'effective_start_date', 'Start date': 'effective_sta... | flexible | {
"blob_id": "0f4fa9f8835ae22032af9faa6c7cb10af3facd79",
"index": 5389,
"step-1": "<mask token>\n",
"step-2": "def parse_detail_for_one_course(page, course, no_info_course):\n print(f\"{course['name']} is processing**: {course['url']}\")\n map = {'Locatie': 'location', 'Location': 'location', 'Startdatum'... | [
0,
1,
2
] |
<|reserved_special_token_0|>
@pulumi.input_type
class _UserGpgKeyState:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_... | flexible | {
"blob_id": "aa79d5cbe656979bf9c228f6a576f2bbf7e405ca",
"index": 2950,
"step-1": "<mask token>\n\n\n@pulumi.input_type\nclass _UserGpgKeyState:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\ncl... | [
11,
19,
22,
26,
29
] |
<|reserved_special_token_0|>
class TestGetNumber(unittest.TestCase):
<|reserved_special_token_0|>
def test_fib(self):
self.assertEqual(Fib(5), 8)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class TestGetNumber(unittest.TestCase):
def test_ok(self... | flexible | {
"blob_id": "d126efa91b964a3a374d546bb860b39ae26dfa22",
"index": 256,
"step-1": "<mask token>\n\n\nclass TestGetNumber(unittest.TestCase):\n <mask token>\n\n def test_fib(self):\n self.assertEqual(Fib(5), 8)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass TestGetNumber(unittest.TestCase):... | [
2,
3,
4,
5,
6
] |
##########################################################################
#
# Draw a 2-D plot for student registration number and the marks secured using gnuplot
#
##########################################################################
import Gnuplot
# create lists to store student marks and regno
student_reg=[... | normal | {
"blob_id": "dcbbc7098410d771a7151af7c43ac4d0e4d46f18",
"index": 9135,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(0, n):\n reg = int(input('Enter RegNo: '))\n student_reg.append(reg)\n marks = int(input('Enter marks: '))\n student_marks.append(marks)\n<mask token>\ngplt.tit... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if button == True:
df = pd.read_csv(upload)
st.write(df.head())
fig = plt.figure()
my = fig.add_subplot(1, 1, 1)
my.scatter(df['sepal.length'], df['petal.length'])
my.set_xlabel('sepal.length')
my.set_y... | flexible | {
"blob_id": "72f1547ea7de78a5fe4b583523e592fa25c0ee77",
"index": 2467,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif button == True:\n df = pd.read_csv(upload)\n st.write(df.head())\n fig = plt.figure()\n my = fig.add_subplot(1, 1, 1)\n my.scatter(df['sepal.length'], df['petal.length']... | [
0,
1,
2,
3,
4
] |
# wilfred.py
# Authors
# Stuart C. Larsen (SCL)
# Daryl W. Bennet (DWB)
# Set up three main modules (command, control, reconnaissance),
# and then enter main event loop.
#
# Command:
# Gather mission priorities and objectives, such as turn left, turn right
# goto GPS 45, 65, land, take off.
#
# Control:
# Fl... | normal | {
"blob_id": "a77fb90cdc6e7f9b70f9feeefc2b7f8e93a2d8c5",
"index": 9875,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef mainLoop():\n wilfredCommunication = command.Command()\n wilfredCommunication.waitForClient()\n wilfredCommand = command.Command()\n while True:\n if not wilfre... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def document_features(documento):
features = {}
for palavra in palavras_escolhidas:
features['contains(%s)' % (palavra,)] = palavra in documento
return features
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
sparql.setQuery(... | flexible | {
"blob_id": "c5b50420788ddde7483a46c66aca3922ddb47952",
"index": 6199,
"step-1": "<mask token>\n\n\ndef document_features(documento):\n features = {}\n for palavra in palavras_escolhidas:\n features['contains(%s)' % (palavra,)] = palavra in documento\n return features\n\n\n<mask token>\n",
"ste... | [
1,
2,
3,
4,
5
] |
from django.shortcuts import render, redirect
from django.utils.crypto import get_random_string
def index(request):
if not "word" in request.session:
request.session["word"] = 'Empty'
if not "count" in request.session:
request.session["count"] = 0
if request.method == "GET":
return... | normal | {
"blob_id": "2ec5e43860a1d248a2f5cd1abc26676342275425",
"index": 8589,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef reset(request):\n request.session['count'] = 0\n return redirect('/')\n",
"step-3": "<mask token>\n\n\ndef index(request):\n if not 'word' in request.session:\n ... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2017-05-22 00:19
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('classroom', '0003_remove_anouncements_classroom'),
]
... | normal | {
"blob_id": "e9659555938211d067919ee5e0083efb29d42d7b",
"index": 8600,
"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 = [('classroom',... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def test_guest_should_see_button_add_to_basket(browser):
browser.get(link)
btn_add = 'btn.btn-lg.btn-primary.btn-add-to-basket'
found_button = WebDriverWait(browser, 5).until(EC.
element_to_be_clickable((By.C... | flexible | {
"blob_id": "464be943f4fe34dda826ebada9e128f1d7d671ac",
"index": 8485,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_guest_should_see_button_add_to_basket(browser):\n browser.get(link)\n btn_add = 'btn.btn-lg.btn-primary.btn-add-to-basket'\n found_button = WebDriverWait(browser, 5)... | [
0,
1,
2,
3,
4
] |
linha = input().split()
a = float(linha[0])
b = float(linha[1])
c = float(linha[2])
t = (a*c)/2
print('TRIANGULO: {:.3f}'.format(t))
pi = 3.14159
print("CIRCULO: {:.3f}".format(pi*c**2))
print('TRAPEZIO: {:.3f}'.format( ((a+b)*c)/2 ))
print("QUADRADO: {:.3f}".format(b**2))
print("RETANGULO: {:.3f}".format(a*b)) | normal | {
"blob_id": "d44d9003e9b86722a0fc1dfe958de462db9cd5f1",
"index": 1670,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('TRIANGULO: {:.3f}'.format(t))\n<mask token>\nprint('CIRCULO: {:.3f}'.format(pi * c ** 2))\nprint('TRAPEZIO: {:.3f}'.format((a + b) * c / 2))\nprint('QUADRADO: {:.3f}'.format(b ** 2... | [
0,
1,
2,
3
] |
def multiplica():
one = int(input('1º: '))
two = int(input('2º: '))
print('a multiplicação é: ', one * two)
def soma():
one = int(input('1º: '))
two = int(input('2º: '))
print('a soma é: ', one + two)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def multiplica():
one = in... | flexible | {
"blob_id": "414fa4021b21cea0dc49380aebfe67f0204f0574",
"index": 5994,
"step-1": "def multiplica():\n one = int(input('1º: '))\n two = int(input('2º: '))\n print('a multiplicação é: ', one * two)\n\n\ndef soma():\n one = int(input('1º: '))\n two = int(input('2º: '))\n print('a soma é: ', one + ... | [
2,
3,
4,
5,
6
] |
'''
Useful constants.
Inspired by pyatspi:
http://live.gnome.org/GAP/PythonATSPI
@author: Eitan Isaacson
@copyright: Copyright (c) 2008, Eitan Isaacson
@license: LGPL
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Library General Public
License as published by the ... | normal | {
"blob_id": "5ec2ac3e0d66026da1b0c957d10c95e95c201f8f",
"index": 9032,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor _sym, _val in locals().items():\n if _sym.startswith('EVENT_') or _sym.startswith('IA2_EVENT_'):\n winEventIDsToEventNames[_val] = _sym\n",
"step-3": "<mask token>\nCHILDI... | [
0,
1,
2,
3
] |
import numpy as np
import pandas as pd
import matplotlib as plt
import scipy.linalg
from distance_metrics import *
import time
import random
RANDOM_SEED = 42
np.random.seed(RANDOM_SEED)
random.seed(RANDOM_SEED)
################################################################
# PCA #
##############################... | normal | {
"blob_id": "c00db6d6fd903236de37ccc029ed30fd46dccdef",
"index": 7711,
"step-1": "<mask token>\n\n\ndef project(X, U, p=None):\n if p == None:\n p = X.shape[1]\n Z = np.matmul(X, U)\n Z[:, p:] = np.mean(Z[:, p:], axis=0)\n X2 = np.matmul(Z, U.transpose())\n return Z, X2\n\n\n<mask token>\n\... | [
2,
4,
5,
6,
7
] |
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