code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
a = (5, 1, 3, 5, 3, 1, 0, 9, 5, 3, 8, 6, 5, 7)
b = []
for index, elements in enumerate (a):
if elements == 5:
b.append(index)
print(b) | normal | {
"blob_id": "d7876a078af8572e44b4eb16f3ec0898db73724d",
"index": 2118,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor index, elements in enumerate(a):\n if elements == 5:\n b.append(index)\nprint(b)\n",
"step-3": "a = 5, 1, 3, 5, 3, 1, 0, 9, 5, 3, 8, 6, 5, 7\nb = []\nfor index, elements i... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def _split_journal_attrs(attrs):
if attrs:
return [t.text.replace(':', '').strip().split('\n') for t in [k for
k in attrs if isinstance(k, bs4.element.Tag)]]
return []
def _get_title_history(history_attrs):
all_td = []
if history_attrs:
for h ... | flexible | {
"blob_id": "002f65fd77ce5043d1a0495ed13c15e3b4d2fb76",
"index": 7244,
"step-1": "<mask token>\n\n\ndef _split_journal_attrs(attrs):\n if attrs:\n return [t.text.replace(':', '').strip().split('\\n') for t in [k for\n k in attrs if isinstance(k, bs4.element.Tag)]]\n return []\n\n\ndef _ge... | [
6,
8,
9,
10,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
wd.get('https://www.baidu.com/')
wd.find_element_by_id('kw').send_keys(u'哈哈')
wd.quit()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
wd = webdriver.Firefox()
wd.get('https://www.baidu.com/')
wd.find_element_by_id('... | flexible | {
"blob_id": "8de36400f21bfb4e24703d5a65471a961e1afddc",
"index": 9796,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwd.get('https://www.baidu.com/')\nwd.find_element_by_id('kw').send_keys(u'哈哈')\nwd.quit()\n",
"step-3": "<mask token>\nwd = webdriver.Firefox()\nwd.get('https://www.baidu.com/')\nwd.fin... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def get_status_name(status):
return '[%d]%s' % (status, statuses[status]['name'])
<|reserved_special_token_1|>
__author__ = 'virtual'
statuses = {None: {'name': 'None'}, (-1): {'name': 'unknown'}, (0): {'name':
''}, (... | flexible | {
"blob_id": "a847fc32af2602db3b5545c15186c0209eb8ae8d",
"index": 4008,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef get_status_name(status):\n return '[%d]%s' % (status, statuses[status]['name'])\n",
"step-3": "__author__ = 'virtual'\nstatuses = {None: {'name': 'None'}, (-1): {'name': 'unk... | [
0,
1,
2,
3
] |
#program_skeleton.py
#import load_json_files as bm
import write
import merge as m
import load_df as ldf
import load_vars as lv
import log as log
import clean_df as clean
import download as dl
import gc
import confirm_drcts as cfs
import fix_files as ff
import readwrite as rw
import df_filter as df_f
import realtor_scr... | normal | {
"blob_id": "6a8007e44d2c4b56426cd49772cbc23df2eca49c",
"index": 6917,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef program_skeleton(dictionary: dict):\n if dictionary['tasks']['environmental_vars']['run'] == True:\n dictionary['tasks']['environmental_vars']['log'][\n 'envi... | [
0,
1,
2,
3
] |
import os
import csv
from django.core.management.base import BaseCommand, CommandError
from django.conf import settings
from django.core.exceptions import ObjectDoesNotExist
from aec.apps.vocabulary.serializers import DictionarySerializer
from aec.apps.vocabulary.models import Word
from aec.apps.library.serializers i... | normal | {
"blob_id": "7d4d5ca14c3e1479059f77c6a7f8dcfad599443b",
"index": 4729,
"step-1": "import os\nimport csv\n\nfrom django.core.management.base import BaseCommand, CommandError\nfrom django.conf import settings\nfrom django.core.exceptions import ObjectDoesNotExist\n\nfrom aec.apps.vocabulary.serializers import Dict... | [
0
] |
<|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": "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
] |
<|reserved_special_token_0|>
class InvoicePositionViewSet(ModelViewSet):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class CountryListView(ListAPIView):
queryset = Country.objects.all()
serializer_class = CountrySerializer
filter_backends = [filters... | flexible | {
"blob_id": "43bad38d209b5c326cb9f17ba1ae135d06320e97",
"index": 145,
"step-1": "<mask token>\n\n\nclass InvoicePositionViewSet(ModelViewSet):\n <mask token>\n <mask token>\n <mask token>\n\n\nclass CountryListView(ListAPIView):\n queryset = Country.objects.all()\n serializer_class = CountrySerial... | [
5,
6,
9,
11,
12
] |
from torchsummary import summary
import torch
import torch.nn as nn
import torch.nn.functional as F
from eva4modeltrainer import ModelTrainer
class Net(nn.Module):
"""
Base network that defines helper functions, summary and mapping to device
"""
def conv2d(self, in_channels, out_channels, ker... | normal | {
"blob_id": "f925b3b2f55c3f8daf57438d8d20b60446ae39af",
"index": 6111,
"step-1": "<mask token>\n\n\nclass Net(nn.Module):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def create_depthwise_conv2d(self, in_channels, out_channels,\n kernel_size=(3, 3), dila... | [
6,
7,
11,
14,
17
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def run(*args, **kwargs):
text = ' '.join(map(str, args))
espeak.synth(text)
<|reserved_special_token_1|>
try:
from espeak import espeak
except ImportError:
class espeak:
@classmethod
def sy... | flexible | {
"blob_id": "cd5929496b13dd0d5f5ca97500c5bb3572907cc5",
"index": 2769,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef run(*args, **kwargs):\n text = ' '.join(map(str, args))\n espeak.synth(text)\n",
"step-3": "try:\n from espeak import espeak\nexcept ImportError:\n\n\n class espeak:... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class TestMixin(TestCase):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class TestMixin(TestCase):
@classmethod
def setUpClass(cls):
cls.base_dir = os.path.dirn... | flexible | {
"blob_id": "268a8252f74a2bdafdadae488f98997c91f5607c",
"index": 2686,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass TestMixin(TestCase):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass TestMixin(TestCase):\n\n @classmethod\n def setUpClass(cls):\n cls.base_dir = os.pat... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
@override_settings(USE_TZ=False)
class TestEmailUserManager(TestCase):
def setUp(self):
self.email = 'user@example.com'
self.password = 'default'
def test_private_create_user_without_email(self):
"""
Test that EmailUser.objects._create_user withou... | flexible | {
"blob_id": "71f9d9d7973809654db3ea613073f2d431f2d65f",
"index": 1510,
"step-1": "<mask token>\n\n\n@override_settings(USE_TZ=False)\nclass TestEmailUserManager(TestCase):\n\n def setUp(self):\n self.email = 'user@example.com'\n self.password = 'default'\n\n def test_private_create_user_witho... | [
7,
9,
10,
11,
12
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def get_features_da(config, sent_dict):
features = []
if len(config[0]) > 0:
top = config[0][-1]
top_stk_token_feature = 'TOP_STK_TOKEN_' + str(sent_dict['FORM'][
top].lower())
features.append(top_stk_token_feature)... | flexible | {
"blob_id": "e0ce8a8ad9c842b013bbb1ea1c585b6c4c2a68f5",
"index": 2868,
"step-1": "<mask token>\n",
"step-2": "def get_features_da(config, sent_dict):\n features = []\n if len(config[0]) > 0:\n top = config[0][-1]\n top_stk_token_feature = 'TOP_STK_TOKEN_' + str(sent_dict['FORM'][\n ... | [
0,
1,
2
] |
#!/usr/bin/env python
''' export_claims -- export claims in CSV format
https://sfreeclaims.anvicare.com/docs/forms/Reference-CSV%20Specifications.txt
'''
import csv
from itertools import groupby
from operator import itemgetter
import wsgiref.handlers
import MySQLdb
import ocap
from hhtcb import Xataface, WSGI
def... | normal | {
"blob_id": "41f70cdfc9cbe5ec4560c1f3271a4636cca06d16",
"index": 3012,
"step-1": "#!/usr/bin/env python\n''' export_claims -- export claims in CSV format\n\nhttps://sfreeclaims.anvicare.com/docs/forms/Reference-CSV%20Specifications.txt\n'''\n\nimport csv\nfrom itertools import groupby\nfrom operator import itemg... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
db.open('ECS165')
print(db)
<|reserved_special_token_0|>
print('Merge Start')
q.table.merge(0)
print('Merge End')
db.close()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
db = Database()
db.open('ECS165')
print(db)
... | flexible | {
"blob_id": "8f5b7711d913c7375d6816dd94731f1ce5ca1a62",
"index": 8289,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndb.open('ECS165')\nprint(db)\n<mask token>\nprint('Merge Start')\nq.table.merge(0)\nprint('Merge End')\ndb.close()\n",
"step-3": "<mask token>\ndb = Database()\ndb.open('ECS165')\nprint... | [
0,
1,
2,
3,
4
] |
from __future__ import print_function
import re
import sys
from pyspark import SparkContext
# define a regular expression for delimiters
NON_WORDS_DELIMITER = re.compile(r'[^\w\d]+')
def main():
if len(sys.argv) < 2:
print('''Usage: pyspark q2.py <file>
e.g. pyspark q2.py file:///home/cloudera/test... | normal | {
"blob_id": "deff4eb3ae933a99036f39213ceaf2144b682904",
"index": 5025,
"step-1": "<mask token>\n\n\ndef main():\n if len(sys.argv) < 2:\n print(\n 'Usage: pyspark q2.py <file>\\n e.g. pyspark q2.py file:///home/cloudera/test_file'\n )\n exit(-1)\n sc = SparkContext(ap... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(
"""
Instructions
press Enter to begin.
Afterwards press Enter to "click" the stopwatch.
Press Ctrl-C to quit"""
)
input()
print('Started')
<|reserved_special_token_0|>
try:
while True:
input()
... | flexible | {
"blob_id": "cc87682d4ebb283e2d0ef7c09ad28ba708c904bd",
"index": 4407,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(\n \"\"\" \n\nInstructions\n\npress Enter to begin.\n\nAfterwards press Enter to \"click\" the stopwatch.\n\nPress Ctrl-C to quit\"\"\"\n )\ninput()\nprint('Started')\n<mask t... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def pw_validator(pw):
pw = list(pw)
if len(pw) < 6 or len(pw) > 16:
return 'Please enter a valid password.'
num_count = 0
lower_count = 0
upper_count = 0
spec_count = 0
for i in pw:
if... | flexible | {
"blob_id": "d72f9d521613accfd93e6de25a71d188626a0952",
"index": 4807,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef pw_validator(pw):\n pw = list(pw)\n if len(pw) < 6 or len(pw) > 16:\n return 'Please enter a valid password.'\n num_count = 0\n lower_count = 0\n upper_count... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def base_url():
default_request = {'base_url': url, 'headers': {'Content-Type':
'application/json;charset=UTF-8'}}
return default_request['base_url']
def random_Num(length, string=[]):
for i in range(length):
y = str(random.randint(0, 9))
string.appen... | flexible | {
"blob_id": "c55b6fed92a5f4f2961c6f8d5b150b22a5f622e8",
"index": 4520,
"step-1": "<mask token>\n\n\ndef base_url():\n default_request = {'base_url': url, 'headers': {'Content-Type':\n 'application/json;charset=UTF-8'}}\n return default_request['base_url']\n\n\ndef random_Num(length, string=[]):\n ... | [
10,
13,
15,
17,
18
] |
from nodes.Value import Value
class Number(Value):
def __init__(self, number: int):
if abs(number) > 2 ** 31:
raise SyntaxError(str(number) + ' number is out of range')
self.number = number
def __str__(self):
return str(self.number)
| normal | {
"blob_id": "7da274803de80f2864471d00c9d15aff1103372f",
"index": 3648,
"step-1": "<mask token>\n\n\nclass Number(Value):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Number(Value):\n <mask token>\n\n def __str__(self):\n return str(self.number)\n",
"step-3": "<mask ... | [
1,
2,
3,
4
] |
# myapp/serializers.py
from rest_framework import serializers
from rest_framework.authtoken.models import Token
from .models import *
# Serializers define the API representation.
class GeneralSerializer(serializers.ModelSerializer):
class Meta:
model = None
fields = '__all__'
class V2OfUsersSeri... | normal | {
"blob_id": "44cbe1face91d3ac7edcd93d0b470bce90c8b674",
"index": 2916,
"step-1": "<mask token>\n\n\nclass MeasurementsSerializer(serializers.ModelSerializer):\n\n\n class Meta:\n model = Measurements\n fields = '__all__'\n <mask token>\n\n\nclass CountSerializer(serializers.Serializer):\n ... | [
9,
10,
11,
12,
15
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def is_file_ontology(file_path):
"""
Method that, given a file, returns its URI.
This method is in a separate file in case we want to extract additional metadata if required
Parameters
----------
@param f... | flexible | {
"blob_id": "c327f8f7aece1a9c25079613809df52e9a8e7a52",
"index": 8763,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef is_file_ontology(file_path):\n \"\"\"\n Method that, given a file, returns its URI.\n This method is in a separate file in case we want to extract additional metadata if ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in range(3):
numList[i] = int(sys.stdin.readline())
<|reserved_special_token_0|>
for i in intList:
print(resultList.count(str(i)))
<|reserved_special_token_1|>
<|reserved_special_token_0|>
numList = list(range(3))... | flexible | {
"blob_id": "c3de6cd76ca7180a1a4d236bb2a6a18f7594f38b",
"index": 1304,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(3):\n numList[i] = int(sys.stdin.readline())\n<mask token>\nfor i in intList:\n print(resultList.count(str(i)))\n",
"step-3": "<mask token>\nnumList = list(range(3)... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if __name__ == '__main__':
"""所有的PyQt5应用必须创建一个应用（Application）对象。sys.argv参数是一个来自命令行的参数列表。Python脚本可以在shell中运行"""
app = QApplication(sys.argv)
"""Qwidget组件是PyQt5中所有用户界面类的基础类。我们给QWidget提供了默认的构造方法。默认构造方法没有父类。没有父类的widget组件将被... | flexible | {
"blob_id": "6ff300bbd7866466d1992445e46c5ee54f73d0d7",
"index": 9167,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n \"\"\"所有的PyQt5应用必须创建一个应用（Application）对象。sys.argv参数是一个来自命令行的参数列表。Python脚本可以在shell中运行\"\"\"\n app = QApplication(sys.argv)\n \"\"\"Qwidget组件是PyQt5中所有用户... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class BeanAttributes(Base):
""" Defines the data model for the table `bean_attributes`. """
__tablename__ = 'bean_attributes'
id = Column(Integer, primary_key=True)
species = Column(String(100), unique=False, nullable=True)
owner = Column(String(100), unique=False, nul... | flexible | {
"blob_id": "76f2312a01bf8475220a9fcc16209faddfccd2ae",
"index": 9754,
"step-1": "<mask token>\n\n\nclass BeanAttributes(Base):\n \"\"\" Defines the data model for the table `bean_attributes`. \"\"\"\n __tablename__ = 'bean_attributes'\n id = Column(Integer, primary_key=True)\n species = Column(Strin... | [
5,
6,
7,
8,
9
] |
"""
Chess state handling model.
"""
from concurrent.futures import ThreadPoolExecutor
from itertools import count
from json import dumps
from .base_board import BaseBoard, NoBoard
from .table_board import TableBoard
from .table_game import TableGame
__all__ = ['Board', 'NoBoard']
class Board(BaseBoard):
"""
... | normal | {
"blob_id": "796fada5dcd45ace8240760ac7e9bad41953ab56",
"index": 9347,
"step-1": "<mask token>\n\n\nclass Board(BaseBoard):\n <mask token>\n EMOJI = ['⌛', '‼', '♝', '♗', '♚', '♔', '♞', '♘', '♟', '♙', '♛', '♕',\n '♜', '♖', '▪', '▫']\n\n def __init__(self, board=None, _id=None, active_player=True):... | [
8,
9,
10,
11,
12
] |
from ccapi.interfaces.bitfinex import Bitfinex
from ccapi.interfaces.bittrex import Bittrex
from ccapi.interfaces.poloniex import Poloniex
from ccapi.interfaces.bithumb import Bithumb
from ccapi.interfaces.coinone import Coinone
from ccapi.interfaces.korbit import Korbit
# from ccapis.interfaces.coinbase import Coinbas... | normal | {
"blob_id": "098c91f4aa367cb389e542c0199b633e7ecd4003",
"index": 4369,
"step-1": "<mask token>\n",
"step-2": "from ccapi.interfaces.bitfinex import Bitfinex\nfrom ccapi.interfaces.bittrex import Bittrex\nfrom ccapi.interfaces.poloniex import Poloniex\nfrom ccapi.interfaces.bithumb import Bithumb\nfrom ccapi.in... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(negativo, positivo)
<|reserved_special_token_0|>
print(b_neg, b_pos)
<|reserved_special_token_1|>
positivo = float(1.0000001)
negativo = float(-1.000001)
print(negativo, positivo)
b_pos = bin(positivo)
b_neg = bin(negativ... | flexible | {
"blob_id": "5c908697000247056bb63a443f837eef88b4c957",
"index": 9196,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(negativo, positivo)\n<mask token>\nprint(b_neg, b_pos)\n",
"step-3": "positivo = float(1.0000001)\nnegativo = float(-1.000001)\nprint(negativo, positivo)\nb_pos = bin(positivo)\nb... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
from .. import _utilities
import typing
from .authority import *
from .ca_pool import *
from .ca_pool_iam_binding import *
from .ca_pool_iam_member import *
from .ca_pool_iam_policy import *
from .certificate import *
from .certificate_template import *
from ... | flexible | {
"blob_id": "4ca4d4bd684802b056417be4ee3d7d10e8f5dc85",
"index": 8842,
"step-1": "<mask token>\n",
"step-2": "from .. import _utilities\nimport typing\nfrom .authority import *\nfrom .ca_pool import *\nfrom .ca_pool_iam_binding import *\nfrom .ca_pool_iam_member import *\nfrom .ca_pool_iam_policy import *\nfro... | [
0,
1,
2
] |
import IDS
# In[7]:
# testfile = 'data/good_fromE2.txt'
# testfile = 'data/goodqueries.txt'
good_testfile = "data/good_fromE2.txt"
bad_testfile = "data/badqueries.txt"
# a = IDS.LG()
a = IDS.SVM()
# preicdtlist = ['www.foo.com/id=1<script>alert(1)</script>','www.foo.com/name=admin\' or 1=1','abc.com/admin.php','"><s... | normal | {
"blob_id": "e627bcc6c9a49d46190cc793a77103aa0a760989",
"index": 1709,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open(good_testfile, 'r') as f:\n print('预测数据集： ' + good_testfile)\n preicdtlist = [i.strip('\\n') for i in f.readlines()[:]]\n result = a.predict(preicdtlist)\n print('恶意... | [
0,
1,
2,
3,
4
] |
import cv2
import os
"""
视频场景拼接
"""
stich_path="stichImage\\"
def read_video(filename):
'''
将视频每秒的内容提取出来
:param filename: 视频文件路径
:return: 视频文件名，用来拼接
'''
cap=cv2.VideoCapture(filename)
rate = cap.get(cv2.CAP_PROP_FPS)
count=0
success, frame = cap.read()
imageCount=0
while suc... | normal | {
"blob_id": "a8506420b1bc558fa953f0cec3f8c16beaf44909",
"index": 9886,
"step-1": "<mask token>\n\n\ndef read_video(filename):\n \"\"\"\n 将视频每秒的内容提取出来\n :param filename: 视频文件路径\n :return: 视频文件名，用来拼接\n \"\"\"\n cap = cv2.VideoCapture(filename)\n rate = cap.get(cv2.CAP_PROP_FPS)\n count = 0\... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
def loadData(filename):
_data = json.loads(open(filename).read())
return _data
def buildUserDict(userDict, _data, boardName):
for article in _data:
_user = article['b_作者'].split(' ')[0]
if not _user in userDict:
userDict[_user] = dict()
if... | flexible | {
"blob_id": "306240db8a1652fe7cd79808c40e4354c3158d3e",
"index": 3434,
"step-1": "<mask token>\n\n\ndef loadData(filename):\n _data = json.loads(open(filename).read())\n return _data\n\n\ndef buildUserDict(userDict, _data, boardName):\n for article in _data:\n _user = article['b_作者'].split(' ')[0... | [
3,
4,
5,
6,
7
] |
# 赛场统分
# 【问题】在编程竞赛中，有10个评委为参赛的选手打分，分数为0 ~ 100分。
# 选手最后得分为：去掉一个最高分和一个最低分后其余8个分数的平均值。请编写一个程序实现。
sc_lst = []
i = 1
while len(sc_lst) < 10:
try:
sc = int(input('请第%d位评委打分：' % i))
if sc > 0 and sc < 101:
sc_lst.append(sc)
i += 1
else:
print('超出范围，输入无效')
ex... | normal | {
"blob_id": "a17abd3947a946daf2c453c120f2e79d2ba60778",
"index": 901,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile len(sc_lst) < 10:\n try:\n sc = int(input('请第%d位评委打分：' % i))\n if sc > 0 and sc < 101:\n sc_lst.append(sc)\n i += 1\n else:\n ... | [
0,
1,
2,
3
] |
import os
class Config(object):
"""Base Config Object"""
DEBUG = False
SECRET_KEY = os.environ.get('SECRET_KEY') or 'Som3$ec5etK*y'
UPLOAD_FOLDER = './uploads'
dbconfig = {'host': os.environ.get('MYSQL_HOST') or 'localhost', 'user': os
.environ.get('MYSQL_USER') or 'root', 'password': os.environ... | normal | {
"blob_id": "833923c1928862e13c24904f5614927a683b168f",
"index": 611,
"step-1": "<mask token>\n\n\nclass DevelopmentConfig(Config):\n <mask token>\n <mask token>\n <mask token>\n\n\nclass ProductionConfig(Config):\n \"\"\"Production Config that extends the Base Config Object\"\"\"\n DEBUG = False\... | [
4,
6,
9,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Mood(object):
<|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_1|>
class Moo... | flexible | {
"blob_id": "511016b9cd54f6824360d609ede233b9cc3e4447",
"index": 7564,
"step-1": "<mask token>\n",
"step-2": "class Mood(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "class Mood(object):\n <mask token>\n <mask token>\... | [
0,
1,
2,
3,
4
] |
import pandas as pd
import statistics
import csv
df = pd.read_csv("height-weight.csv")
heightlist = df["Height(Inches)"].to_list()
weightlist = df["Weight(Pounds)"].to_list()
heightmean = statistics.mean(heightlist)
heightmedian = statistics.median(heightlist)
heightmode = statistics.mode(heightlist)
heigh... | normal | {
"blob_id": "3f4b05a1d0c4c2a2b085a0265bafbf89b5635e31",
"index": 8021,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(heightmean)\nprint(heightmedian)\nprint(heightmode)\nprint(heightstdev)\n<mask token>\nprint(firstpercentage)\nprint(secondpercentage)\nprint(thirdpercentage)\n",
"step-3": "<mask... | [
0,
1,
2,
3,
4
] |
from PIL import Image
from src import urbandictionary_api
from src.card.cardDrawer import CardDrawer
from src.card.cardModel import CardModel
from src.repository import Repository
from src.urbandictionary_api import get_random_word
def save_card(word, image_path, filepath='data/cards/', filename=None):
'''Функци... | normal | {
"blob_id": "6bf1d410a33e3b2535e39e4f8c5c7f8278b3de67",
"index": 330,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef save_card(word, image_path, filepath='data/cards/', filename=None):\n \"\"\"Функция для генерации и сохранения изображения\n Возвращает filepath+filename\n \n Параметры... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Bases(metaclass=ABCMeta):
def __init__(self):
pass
@abstractmethod
def set_style(self):
"""set workshet's style, indent,border,font,and so on"""
@abstractmethod
def query(self):
"""query from mysql, sqlserver"""
@abstractmethod
... | flexible | {
"blob_id": "092c6d637fe85136b4184d05f0ac7db17a8efb3b",
"index": 6087,
"step-1": "<mask token>\n\n\nclass Bases(metaclass=ABCMeta):\n\n def __init__(self):\n pass\n\n @abstractmethod\n def set_style(self):\n \"\"\"set workshet's style, indent,border,font,and so on\"\"\"\n\n @abstractmet... | [
13,
14,
15,
16,
17
] |
#!/usr/bin/env python
"""add_columns.py: This script reads an SCEC ETAS forecast directory name
and extracts key fields that are then added as attributes in the SCEC Deriva
schema.
This script is an example of how the ERD used by Deriva is extended as additional
information or metadata is added to the asset descri... | normal | {
"blob_id": "a745f72081e06ff3399f9d7f65a30d7eef594689",
"index": 2292,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n hostname = 'forecast.derivacloud.org'\n catalog_id = '5'\n model = Model.from_catalog(DerivaServer('https', hostname, credentials=\n get_crede... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
"""Very basic codec tests.
:copyright: the translitcodec authors and developers, see AUTHORS.
:license: MIT, see LICENSE for more details.
"""
import codecs
import translitcodec
data = u'£ ☹ wøóf méåw'
def test_default():
assert codecs.encode(data, 'transliterate') == u'GBP :-( woof mea... | normal | {
"blob_id": "426002bf900e23fd9b1d32c484350ac854228459",
"index": 2565,
"step-1": "<mask token>\n\n\ndef test_translit_long():\n assert codecs.encode(data, 'translit/long') == u'GBP :-( woof meaaw'\n\n\ndef test_translit_short():\n assert codecs.encode(data, 'translit/short') == u'GBP :-( woof meaw'\n\n\n<m... | [
6,
8,
9,
10,
12
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class HoursForm(FlaskForm):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class Meta:
csrf = False
<|reserved_special_token_1|>
<|reserved_special_token_0|>
... | flexible | {
"blob_id": "b1a808e76008edec02d37ec596461e3a00a1d349",
"index": 4553,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass HoursForm(FlaskForm):\n <mask token>\n <mask token>\n <mask token>\n\n\n class Meta:\n csrf = False\n",
"step-3": "<mask token>\n\n\nclass HoursForm(FlaskFo... | [
0,
1,
2,
3,
4
] |
import os
from redis import Redis
try:
if os.environ.get('DEBUG'):
import settings_local as settings
else:
import settings_prod as settings
except ImportError:
import settings
redis_env = os.environ.get('REDISTOGO_URL')
if redis_env:
redis = Redis.from_url(redis_env)
elif getattr(setting... | normal | {
"blob_id": "4c3a27bf1f7e617f4b85dc2b59efa184751b69ac",
"index": 3868,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n if os.environ.get('DEBUG'):\n import settings_local as settings\n else:\n import settings_prod as settings\nexcept ImportError:\n import settings\n<mask toke... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class Utilizator(AbstractUser):
""" Tabel info utilizator
nume - extras automat din email ([nume]@gmail.com)
email - se va loga cu emailul
parola - ***
descriere - informatiile despre utilizator scrise de acesta pen... | flexible | {
"blob_id": "85b8ffe1bca879acd86251e4662b33648b713588",
"index": 7243,
"step-1": "<mask token>\n\n\nclass Utilizator(AbstractUser):\n \"\"\" Tabel info utilizator \n nume - extras automat din email ([nume]@gmail.com)\n email - se va loga cu emailul\n parola -... | [
4,
5,
6,
7,
9
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2018/4/11 16:07
# @Author : LiuZhi
# @Site :
# @File : Function.py
# @Software: PyCharm
#求绝对值的函数
print(abs(100))
print(abs(-20))
print(abs(12.34))
#print(abs(1,2))
#print(abs('q'))
print(max(1,2))
print(max(1,2,3,-5))
print(int('123'))
print(int(12.... | normal | {
"blob_id": "8a6eb2eb746e3b9de92998b70ddff2a39cb1f269",
"index": 6374,
"step-1": "<mask token>\n\n\ndef move(x, y, step, angle=0):\n nx = x + step * math.cos(angle)\n ny = y - step * math.sin(angle)\n return nx, ny\n\n\n<mask token>\n\n\ndef enroll(name, gender, age=6, city='Beijing'):\n print('name:... | [
9,
14,
15,
19,
20
] |
<|reserved_special_token_0|>
class Team(models.Model):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Team(models.Model):
teamName = models.TextField()
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_sp... | flexible | {
"blob_id": "331b5f0a34db4d12d713439db3d2818e8c922310",
"index": 4236,
"step-1": "<mask token>\n\n\nclass Team(models.Model):\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass Team(models.Model):\n teamName = models.TextField()\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ncl... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class GetRootData(Function):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class GetRootData(Function):
def __init__(self, data_display):
self.data_display = data_display
<|reserved_special... | flexible | {
"blob_id": "e8ea307352805bf0b5129e2ad7f7b68c44e78fc9",
"index": 9118,
"step-1": "<mask token>\n\n\nclass GetRootData(Function):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass GetRootData(Function):\n\n def __init__(self, data_display):\n self.data_display = data_display\n... | [
1,
2,
3,
4,
5
] |
from django import forms
class CriteriaForm(forms.Form):
query = forms.CharField(widget=forms.Textarea)
| normal | {
"blob_id": "b6529dc77d89cdf2d49c689dc583b78c94e31c4d",
"index": 4716,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass CriteriaForm(forms.Form):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass CriteriaForm(forms.Form):\n query = forms.CharField(widget=forms.Textarea)\n",
"step-4"... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
try:
from Cython.Build import cythonize
cython = True
except ImportError:
cython = False
if platform == 'darwin':
extra_compile_args = ['-O3', '-pthread', '-funroll-loops', '-std=c++0x',
'-stdlib=libc++', '... | flexible | {
"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
] |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import copy
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _ut... | normal | {
"blob_id": "8535020e7157699310b3412fe6c5a28ee8e61f49",
"index": 6911,
"step-1": "<mask token>\n\n\n@pulumi.output_type\nclass ApplicationCredential(dict):\n <mask token>\n\n def __getitem__(self, key: str) ->Any:\n ApplicationCredential.__key_warning(key)\n return super().__getitem__(key)\n ... | [
10,
11,
12,
13,
16
] |
#H##############################################################
# FILENAME : rec.py
#
# DESCRIPTION :
# Classifies text using defined regular expressions
#
# PUBLIC FUNCTIONS :
# int processToken( string )
#
# NOTES :
# This function uses specific critera to classify
# Criteria desc... | normal | {
"blob_id": "6d543e9e24debaff7640006a3836c59ec0096255",
"index": 5205,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef processToken(token):\n idPattern1 = re.compile('^([$]|[|]|[a-z])[A-Z0-9]*$')\n idPattern2 = re.compile('^([|][A-Z0-9]*[|])$')\n intPattern = re.compile('^(%)([0-9]|[A-Fa-... | [
0,
1,
3,
4,
5
] |
# -*- coding: utf-8 -*-
from django.db import models
from backend.models.account import Account
from string import Template
out = Template("$account: $parts")
class Group(models.Model):
name = models.CharField(max_length=100)
class GroupParticipation(models.Model):
account = models.ForeignKey(Account, r... | normal | {
"blob_id": "11337f6f9cf22ba6fbed68dfcb7a07fb6368e94e",
"index": 6350,
"step-1": "<mask token>\n\n\nclass GroupParticipation(models.Model):\n account = models.ForeignKey(Account, related_name='groups')\n parts = models.FloatField(default=1.0)\n group = models.ForeignKey(Group, related_name='participants... | [
3,
4,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
cPickle.dump(v, open(PROJECT + 'db/dictvectorizer.pickle', 'wb'))
<|reserved_special_token_1|>
<|reserved_special_token_0|>
videos, users, reviews = load_data()
orig_X = np.array([(x['date'], x['text'], x['user']) for x in revi... | flexible | {
"blob_id": "e26fa69ea1f0bee82b4108ac5a541a6175645728",
"index": 5955,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ncPickle.dump(v, open(PROJECT + 'db/dictvectorizer.pickle', 'wb'))\n",
"step-3": "<mask token>\nvideos, users, reviews = load_data()\norig_X = np.array([(x['date'], x['text'], x['user'])... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def submissions_to_user_submission_activities_dfs(submissions_df: DataFrame
) ->Dict[str, DataFrame]:
"""
Convert a Submission API DataFrame to a Dict of UserActivity
UDM DataFrames grouped by source system secti... | flexible | {
"blob_id": "d6a760774b45454c959c2932d7b28deee7f81872",
"index": 318,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef submissions_to_user_submission_activities_dfs(submissions_df: DataFrame\n ) ->Dict[str, DataFrame]:\n \"\"\"\n Convert a Submission API DataFrame to a Dict of UserActivity... | [
0,
1,
2,
3,
4
] |
# The following code causes an infinite loop. Can you figure out what’s missing and how to fix it?
# def print_range(start, end):
# # Loop through the numbers from start to end
# n = start
# while n <= end:
# print(n)
# print_range(1, 5) # Should print 1 2 3 4 5 (each number on its own line)
# Solution
# Vari... | normal | {
"blob_id": "05454cc6c9961aa5e0de6979bb546342f5bd7b79",
"index": 3321,
"step-1": "# The following code causes an infinite loop. Can you figure out what’s missing and how to fix it?\n\n# def print_range(start, end):\n# \t# Loop through the numbers from start to end\n# \tn = start\n# \twhile n <= end:\n# \t\tprint... | [
0
] |
from typing import List, Optional
from backend.domain.well import FacilityState, Well
from backend.repository.persistence.well import WellPersistenceSchema
class WellRepository:
schema = WellPersistenceSchema()
def __init__(self, db):
self._db = db
def list(self) -> List[Well]:
return [... | normal | {
"blob_id": "5a181b0c22faa47c6c887daac675dd7374037f30",
"index": 3056,
"step-1": "<mask token>\n\n\nclass WellRepository:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass WellRepository:\n <mask token>\n\n d... | [
1,
5,
7,
8,
9
] |
#!/usr/bin/python
import gzip
import os
infiles = []
ids=[]
ages=[]
with open('all_C_metadata.txt') as f:
f.readline()
f.readline()
for line in f:
infiles.append(line.split('\t')[0])
ids.append(line.split('\t')[1])
ages.append(line.split('\t')[2])
with open('all_C_samples/diversi... | normal | {
"blob_id": "c02f46e8d89dd4b141c86df461ecbb8ed608b61b",
"index": 7826,
"step-1": " #!/usr/bin/python\n\nimport gzip\nimport os\n\ninfiles = []\nids=[]\nages=[]\nwith open('all_C_metadata.txt') as f:\n f.readline()\n f.readline()\n for line in f:\n infiles.append(line.split('\\t')[0])\n ids... | [
0
] |
from . import find_resault
from . import sql
| normal | {
"blob_id": "6f05d1915cd2e123dd72233b59d4de43fd724035",
"index": 7743,
"step-1": "<mask token>\n",
"step-2": "from . import find_resault\nfrom . import sql\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
from keyboards import *
from DB import cur, conn
from bot_token import bot
from limit_text import limit_text
def send_answer(question_id, answer_owner, receiver_tel_id, short):
answer = cur.execute('''SELECT answer FROM Answers WHERE question_id = (%s) AND tel_id = (%s)''', (question_id, answer_owner)).fetchone()... | normal | {
"blob_id": "464fc2c193769eee86a639f73b933d5413be2b87",
"index": 3396,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef send_answer(question_id, answer_owner, receiver_tel_id, short):\n answer = cur.execute(\n 'SELECT answer FROM Answers WHERE question_id = (%s) AND tel_id = (%s)'\n ... | [
0,
1,
2,
3
] |
#!/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
] |
<|reserved_special_token_0|>
class ExecuteCommandTest(TestBase):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class ExecuteCommandTest(... | flexible | {
"blob_id": "c312bf096c7f4aaf9269a8885ff254fd4852cfe0",
"index": 9996,
"step-1": "<mask token>\n\n\nclass ExecuteCommandTest(TestBase):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass ExecuteCommandTest(TestBase):\n\n def setUp... | [
1,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def SO3_to_R3(x_skew):
x = np.zeros((3, 1))
x[0, 0] = -1 * x_skew[1, 2]
x[1, 0] = x_skew[0, 2]
x[2, 0] = -1 * x_skew[0, 1]
return x
<|reserved_special_token_1|>
import numpy as np
def SO3_to_R3(x_skew):
... | flexible | {
"blob_id": "97bff6eb0cd16c915180cb634e6bf30e17adfdef",
"index": 2080,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef SO3_to_R3(x_skew):\n x = np.zeros((3, 1))\n x[0, 0] = -1 * x_skew[1, 2]\n x[1, 0] = x_skew[0, 2]\n x[2, 0] = -1 * x_skew[0, 1]\n return x\n",
"step-3": "import nu... | [
0,
1,
2
] |
stevila = [5, 2, 8, 3]
#Izpis vseh števil
print(stevila)
#Izpis števila na mestu 1
print(stevila[1]) | normal | {
"blob_id": "6e845f2543b548fb936cc3719eb150e530281945",
"index": 9505,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(stevila)\nprint(stevila[1])\n",
"step-3": "stevila = [5, 2, 8, 3]\nprint(stevila)\nprint(stevila[1])\n",
"step-4": "stevila = [5, 2, 8, 3]\n\n#Izpis vseh števil\nprint(stevila)\... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def fetch(entries):
input_list = []
for entry in entries:
field = entry[0]
text = entry[1].get()
input_list.append(text)
telnetConnection(input_list[0], input_list[1], input_list[2],
input_list[3], input_list[4])
def makeform(root, fields):
... | flexible | {
"blob_id": "3328c2ae0816c146398ecde92a056d1e77683696",
"index": 7357,
"step-1": "<mask token>\n\n\ndef fetch(entries):\n input_list = []\n for entry in entries:\n field = entry[0]\n text = entry[1].get()\n input_list.append(text)\n telnetConnection(input_list[0], input_list[1], inp... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Solution:
def updateMatrix(self, matrix):
"""
:type matrix... | flexible | {
"blob_id": "1145050d82e614d5c248fc7e6a71720e6ff72414",
"index": 6055,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n <mask token>\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\nclass Solution:\n\n def updateMatrix(self, matrix):\n \"\"\"\n :type matrix: Li... | [
0,
1,
2,
3,
4
] |
# -*- coding:utf-8 -*-
import time
from abc import ABCMeta, abstractmethod
from xlreportform.worksheet import WorkSheet
__author__ = "Andy Yang"
class Bases(metaclass=ABCMeta):
def __init__(self):
pass
@abstractmethod
def set_style(self):
"""set workshet's style, indent,bor... | normal | {
"blob_id": "092c6d637fe85136b4184d05f0ac7db17a8efb3b",
"index": 6087,
"step-1": "<mask token>\n\n\nclass Bases(metaclass=ABCMeta):\n\n def __init__(self):\n pass\n\n @abstractmethod\n def set_style(self):\n \"\"\"set workshet's style, indent,border,font,and so on\"\"\"\n\n @abstractmet... | [
13,
14,
15,
16,
17
] |
# encoding: utf-8
# module Revit.GeometryConversion calls itself GeometryConversion
# from RevitNodes,Version=1.2.1.3083,Culture=neutral,PublicKeyToken=null
# by generator 1.145
# no doc
# no imports
# no functions
# classes
class CurveUtils(object):
# no doc
@staticmethod
def CurvesAreSimilar(a,b):
... | normal | {
"blob_id": "f5ca2fb2ce8bcb7a67abe3123d4c50949e9c2f2f",
"index": 2029,
"step-1": "# encoding: utf-8\r\n# module Revit.GeometryConversion calls itself GeometryConversion\r\n# from RevitNodes,Version=1.2.1.3083,Culture=neutral,PublicKeyToken=null\r\n# by generator 1.145\r\n# no doc\r\n# no imports\r\n\r\n# no func... | [
0
] |
<|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": "645f8f1ebd3bfa0ba32d5be8058b07e2a30ba9b5",
"index": 1314,
"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 = [('barriers', ... | [
0,
1,
2,
3,
4
] |
from catalyst_rl.contrib.registry import (
Criterion, CRITERIONS, GRAD_CLIPPERS, Model, MODELS, Module, MODULES,
Optimizer, OPTIMIZERS, Sampler, SAMPLERS, Scheduler, SCHEDULERS, Transform,
TRANSFORMS
)
from catalyst_rl.core.registry import Callback, CALLBACKS
from catalyst_rl.utils.tools.registry import Reg... | normal | {
"blob_id": "09d13fe6b090850782feb601412cf135d497136f",
"index": 6206,
"step-1": "<mask token>\n\n\ndef _callbacks_loader(r: Registry):\n from catalyst_rl.dl import callbacks as m\n r.add_from_module(m)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef _callbacks_loader(r: Registry):\n from catal... | [
1,
2,
3,
4,
5
] |
#!/usr/bin/env python3
#coding=utf8
from __future__ import (division,absolute_import,print_function,unicode_literals)
import argparse, csv, sys,subprocess,time
NR_THREAD=20
def shell(cmd):
subprocess.call(cmd,shell=True)
print("Done! {0}.".format(cmd))
start=time.time()
cmd = 'mkdir FTRL/tmp -p'
shell(cmd)
... | normal | {
"blob_id": "2a0172641c48c47f048bf5e9f1889b29abbb0b7c",
"index": 767,
"step-1": "<mask token>\n\n\ndef shell(cmd):\n subprocess.call(cmd, shell=True)\n print('Done! {0}.'.format(cmd))\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef shell(cmd):\n subprocess.call(cmd, shell=True)\n print('Done... | [
1,
2,
3,
4,
5
] |
import pandas as pd
import random
import string
import names
def generatetest(n=100, filename="test_data"):
ids = []
names_list = []
for _ in range(n):
ids.append(''.join(random.choices(
string.ascii_letters + string.digits, k=9)))
names_list.append(names.get_full_name())
... | normal | {
"blob_id": "aa913fd40a710cfd7288fd59c4039c4b6a5745cc",
"index": 4569,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef generatetest(n=100, filename='test_data'):\n ids = []\n names_list = []\n for _ in range(n):\n ids.append(''.join(random.choices(string.ascii_letters + string.\n ... | [
0,
1,
2,
3,
4
] |
import scrapy
import time
import os.path
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from tempfile import mkstem... | normal | {
"blob_id": "237a93ff73cb98fd9d4006f14d3cadbdc09259a4",
"index": 9885,
"step-1": "<mask token>\n\n\nclass ProductSpider(scrapy.Spider):\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self):\n options = webdriver.ChromeOptions()\n options.add_argument('--start-maximized')\... | [
2,
3,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if response.info().get('Content-Type') == 'application/x-gzip':
buf = StringIO(response.read())
f = gzip.GzipFile(fileobj=buf)
data = f.read()
else:
data = response.read()
<|reserved_special_token_0|>
f.write(data)... | flexible | {
"blob_id": "4b622c7f9b5caa7f88367dd1fdb0bb9e4a81477b",
"index": 2338,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif response.info().get('Content-Type') == 'application/x-gzip':\n buf = StringIO(response.read())\n f = gzip.GzipFile(fileobj=buf)\n data = f.read()\nelse:\n data = response.r... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class ContentCategory(BaseModel):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class Meta:
db_table = 'tb_content_category'
verbose_name = '广告内容类别'
verbose_name_plural = verbose_name
<|reserved_special... | flexible | {
"blob_id": "fd96bf5595ce6ec1f95d0f7a9d1c4ff582826ac0",
"index": 1439,
"step-1": "<mask token>\n\n\nclass ContentCategory(BaseModel):\n <mask token>\n <mask token>\n <mask token>\n\n\n class Meta:\n db_table = 'tb_content_category'\n verbose_name = '广告内容类别'\n verbose_name_plural ... | [
5,
6,
7,
8,
10
] |
import os
import RPi.GPIO as GPIO
from google.cloud import firestore
import time
############Explicit Credential environment
path="/home/pi/Desktop/Parking.json"
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] =path
#GPIO starts
s1=2
s2=21
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
GPIO.setup(s1,GPIO.IN)
GPIO.... | normal | {
"blob_id": "e1cc4e17bffcbbae3e7785e4c55acde167a8a50a",
"index": 6482,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nGPIO.setmode(GPIO.BCM)\nGPIO.setwarnings(False)\nGPIO.setup(s1, GPIO.IN)\nGPIO.setup(s2, GPIO.IN)\n<mask token>\nwhile 1:\n if GPIO.input(s1) == False:\n data1 = 1\n coun... | [
0,
1,
2,
3,
4
] |
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from WeatherDL.data_maker import dataset_maker
from WeatherDL.model_maker import model_3
# Extract data from data_maker
X, y = dataset_maker(window=5, forecast_day=1)
(X_train, X_test, y_train, y_test) = train_test_split(X, y, test_s... | normal | {
"blob_id": "011dd579bb076ec094e9e3085aa321883c484f1c",
"index": 5296,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(model.summary())\n<mask token>\nplt.plot(history.history['loss'])\nplt.plot(history.history['val_loss'])\nplt.title('MSE')\nplt.legend(['Train', 'Test'], loc='upper right')\nplt.sho... | [
0,
1,
2,
3,
4
] |
""" mupub module.
"""
__all__ = (
'__title__', '__summary__', '__version__',
'__author__', '__license__', '__copyright__',
)
__title__ = 'mupub'
__summary__ = 'Musical score publishing utility for the Mutopia Project'
"""Versioning:
This utility follows a MAJOR . MINOR . EDIT format. Upon a major
release, t... | normal | {
"blob_id": "eabf06481509962652812af67ad59da5cfe30fae",
"index": 1,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n__all__ = ('__title__', '__summary__', '__version__', '__author__',\n '__license__', '__copyright__')\n__title__ = 'mupub'\n__summary__ = 'Musical score publishing utility for the Mutopia... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
print('Boolean Exercise')
print(False or False)
print(False and False)
print(not True or not False)
| flexible | {
"blob_id": "2385882f040ef4bd0a3611bebfbb2ae5b3cd1dc6",
"index": 4204,
"step-1": "<mask token>\n",
"step-2": "print('Boolean Exercise')\nprint(False or False)\nprint(False and False)\nprint(not True or not False)\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
<|reserved_special_token_0|>
def globalVariableCheck(debug=False):
for liquor in liquorLookup:
if liquor in noGrapeLookup:
print(
'WARNING:liquorLookup regexs will never execute - they are in noGrapeLookup:'
, liquor)
if liquor in ignoreGrapeLookup:
... | flexible | {
"blob_id": "d786e89b9d478dcff3c541c89731247075d078c3",
"index": 678,
"step-1": "<mask token>\n\n\ndef globalVariableCheck(debug=False):\n for liquor in liquorLookup:\n if liquor in noGrapeLookup:\n print(\n 'WARNING:liquorLookup regexs will never execute - they are in noGrape... | [
7,
13,
15,
18,
19
] |
# -*- coding:utf-8 -*-
# pylint: disable=line-too-long
_BASE_REPRESENTATIONS = [
"Primitive(field='f1', op='eq', value='value')",
"Primitive(field='f1', op='eq', value=42)",
"Primitive(field='f1', op='eq', value=3.14)",
"Primitive(field='f1', op='eq', value=True)",
"Condition(op=Operator.OR, values... | normal | {
"blob_id": "137842d50355563b2df6c2fc48864c01a22afa80",
"index": 5567,
"step-1": "<mask token>\n",
"step-2": "_BASE_REPRESENTATIONS = [\"Primitive(field='f1', op='eq', value='value')\",\n \"Primitive(field='f1', op='eq', value=42)\",\n \"Primitive(field='f1', op='eq', value=3.14)\",\n \"Primitive(fiel... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class YieldPeriodicCallback(object):
<|reserved_special_token_0|>
def __init__(self, callback, callback_time, io_loop=None, faststart=False):
"""Init method it can be used like tornado periodic callback, but it has
extra paramtetr
:param faststart: if tru... | flexible | {
"blob_id": "7726f8cc9adf15823cccdaa4ba316800bb134460",
"index": 1920,
"step-1": "<mask token>\n\n\nclass YieldPeriodicCallback(object):\n <mask token>\n\n def __init__(self, callback, callback_time, io_loop=None, faststart=False):\n \"\"\"Init method it can be used like tornado periodic callback, b... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
admin.site.register(HuyenQuan)
<|reserved_special_token_1|>
from django.contrib import admin
from .models import HuyenQuan
admin.site.register(HuyenQuan)
<|reserved_special_token_1|>
from django.contrib import admin
# Regis... | flexible | {
"blob_id": "16e5a44cb4fbe71eaa9c1f5b00505578de0d2cea",
"index": 6403,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nadmin.site.register(HuyenQuan)\n",
"step-3": "from django.contrib import admin\nfrom .models import HuyenQuan\nadmin.site.register(HuyenQuan)\n",
"step-4": "from django.contrib import... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class BRFCustomerBuilder(BRFBaseBuilder):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class BRFCustomerBuilder(BRFBaseBuilder):
def define_translator(self) ->None:
self._translator = BRFCusto... | flexible | {
"blob_id": "8020bac94de3e68193c9891a628a48c537c5afa0",
"index": 9069,
"step-1": "<mask token>\n\n\nclass BRFCustomerBuilder(BRFBaseBuilder):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass BRFCustomerBuilder(BRFBaseBuilder):\n\n def define_translator(self) ->None:\n self._... | [
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Test_PlaceModel(unittest.TestCase):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def test_var_initialization(self):
self.assertTrue(hasattr(self.model, 'city_id'))
self.assertTrue(hasattr(self.model, 'user_id'))
self.assertTrue(hasat... | flexible | {
"blob_id": "c7881c0d06600a43bdc01f5e464127c596db6713",
"index": 7993,
"step-1": "<mask token>\n\n\nclass Test_PlaceModel(unittest.TestCase):\n <mask token>\n <mask token>\n\n def test_var_initialization(self):\n self.assertTrue(hasattr(self.model, 'city_id'))\n self.assertTrue(hasattr(sel... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
im1.show()
im.show()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
im = Image.open('data/frame1.jpg')
left = 155
top = 65
right = 360
bottom = 270
im1 = im.crop((left, top, right, bottom))
im1.show()
im.show()
<|r... | flexible | {
"blob_id": "9fd73e0a1dacc46c177f11ce4cf2351b3d622c0d",
"index": 7594,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nim1.show()\nim.show()\n",
"step-3": "<mask token>\nim = Image.open('data/frame1.jpg')\nleft = 155\ntop = 65\nright = 360\nbottom = 270\nim1 = im.crop((left, top, right, bottom))\nim1.sh... | [
0,
1,
2,
3,
4
] |
import plotly.express as px
import pandas as pd
def fiig(plan):
df = pd.DataFrame(plan)
fig = px.timeline(df, x_start="Начало", x_end="Завершение", y="РЦ", color='РЦ', facet_row_spacing=0.6,
facet_col_spacing=0.6, opacity=0.9, hover_data=['Проект', 'МК', 'Наменование', 'Номер', 'Минут'],... | normal | {
"blob_id": "09850f0d3d295170545a6342337e97a0f190989a",
"index": 6578,
"step-1": "<mask token>\n\n\ndef fig_porc_projects(plan):\n df = pd.DataFrame(plan)\n fig = px.timeline(df, x_start='Начало', x_end='Завершение', y='Проект',\n color='РЦ', facet_row_spacing=0.2, facet_col_spacing=0.1, opacity=\n ... | [
2,
3,
4,
5,
6
] |
from django.db import models
from NavigantAnalyzer.common import convert_datetime_string
import json
# A custom view-based model for flat outputs - RÖ - 2018-10-24
# Don't add, change or delete fields without editing the view in the Db
class Results_flat(models.Model):
race_id = models.IntegerField()
race_name... | normal | {
"blob_id": "802eb0502c5eddcabd41b2d438bf53a5d6fb2c82",
"index": 8368,
"step-1": "<mask token>\n\n\nclass Results_flat(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>... | [
1,
2,
3,
4,
5
] |
# A program to display and find the sum of a list of numbers using for loop
list=[10,20,30,40,50]
sum=0;
for i in list:
print(i)
sum=sum+i
print('sum =',sum) | normal | {
"blob_id": "88e34ee5cd5af7d3b04321c4aa4fc815f926add1",
"index": 7110,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in list:\n print(i)\n sum = sum + i\nprint('sum =', sum)\n",
"step-3": "list = [10, 20, 30, 40, 50]\nsum = 0\nfor i in list:\n print(i)\n sum = sum + i\nprint('sum =',... | [
0,
1,
2,
3
] |
import testTemplate
def getTests():
tests = []
suite=testTemplate.testSuite("Sample Test Cases")
testcase = testTemplate.testInstance("3\n1 1 1\n1 1 1\n1 1 1" , "6" , "Sample #1")
suite.add(testcase)
testcase = testTemplate.testInstance("11\n1 0 0 1 0 0 0 0 0 1 1 \n1 1 1 1 1 0 1 0 1 0 0 \n1 0 0 1 0 0 1 1 0 1 0 ... | normal | {
"blob_id": "de4c31ad474b7ce75631214aceafbe4d7334f14b",
"index": 6956,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef getTests():\n tests = []\n suite = testTemplate.testSuite('Sample Test Cases')\n testcase = testTemplate.testInstance('3\\n1 1 1\\n1 1 1\\n1 1 1', '6',\n 'Sample #... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class MaterialSiteEditor(QObject):
<|reserved_special_token_0|>
def __init__(self, site, parent=None):
super().__init__(parent)
loader = UiLoader()
self.ui = loader.load_file('material_site_editor.ui', parent)
self._site = site
self.charge_... | flexible | {
"blob_id": "ec2be72f81d260c491cdc31b68b34401fb49b91e",
"index": 2660,
"step-1": "<mask token>\n\n\nclass MaterialSiteEditor(QObject):\n <mask token>\n\n def __init__(self, site, parent=None):\n super().__init__(parent)\n loader = UiLoader()\n self.ui = loader.load_file('material_site_... | [
39,
40,
47,
54,
57
] |
import pandas as pd
import numpy as np
import difflib as dl
import sys
def get_close(x):
if len(x) == 0:
return ""
return x[0]
list_file = sys.argv[1]
rating_file = sys.argv[2]
output_file = sys.argv[3]
movie_list = open(list_file).read().splitlines()
movie_data = pd.DataFrame({'movie': movie_list})
rating_data ... | normal | {
"blob_id": "7a9515b1f8cc196eb7551137a1418d5a387e7fd3",
"index": 959,
"step-1": "<mask token>\n\n\ndef get_close(x):\n if len(x) == 0:\n return ''\n return x[0]\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef get_close(x):\n if len(x) == 0:\n return ''\n return x[0]\n\n\n<mask ... | [
1,
2,
3,
4,
5
] |
import json
from aioredis import Redis
from aiologger.loggers.json import ExtendedLogRecord
from aiologger.handlers.base import Handler
from app.core import config
class RedisHandler(Handler):
def __init__(
self,
redis_client,
key=f"{config.APP_NAME}-log",
*args,
**kwargs... | normal | {
"blob_id": "fe581ca8176fed01309f0d852f72564863aa0895",
"index": 8413,
"step-1": "<mask token>\n\n\nclass RedisHandler(Handler):\n <mask token>\n <mask token>\n\n async def emit(self, record: ExtendedLogRecord) ->None:\n await self.redis_client.rpush(self.key, self.format(record))\n\n async de... | [
2,
3,
4,
5,
6
] |
#
#River Sheppard
#
#
from PIL import Image
if __name__ == "__main__":
scale = 768
# creating the new image in RGB mode
bitmap = Image.new("RGB", (scale, scale), "white")
# Allocating the storage for the image and
# loading the pixel data.
pix = bitmap.load()
... | normal | {
"blob_id": "507251113d80eaa3684081f7814470053b04dda9",
"index": 1436,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n scale = 768\n bitmap = Image.new('RGB', (scale, scale), 'white')\n pix = bitmap.load()\n c = complex(-0.585, 0.85)\n move = 0.0\n maxIter = ... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
"""
Created on 11/03/2020
@author: stevenp@valvesoftware.com
"""
import sys
from PyQt5.QtWidgets import (QApplication, QWidget, QLabel, QRadioButton, QVBoxLayout, QCheckBox, QProgressBar,
QGroupBox, QComboBox, QLineEdit, QPushButton, QMessageBox, QInputDialog, QDialog, QDialogButton... | normal | {
"blob_id": "33464f19c42d1a192792a73297f4d926df78ab71",
"index": 2906,
"step-1": "<mask token>\n\n\nclass MainWindow(QWidget):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def initUI(self):\n self.setGeometry(300, 300, 500, 600)\n self.setWindowTi... | [
4,
6,
9,
10,
11
] |
from checkov.common.models.enums import CheckCategories, CheckResult
from checkov.terraform.checks.resource.base_resource_negative_value_check import BaseResourceNegativeValueCheck
class FunctionAppDisallowCORS(BaseResourceNegativeValueCheck):
def __init__(self):
name = "Ensure function apps are not acces... | normal | {
"blob_id": "30c2d46d6587df3cbc3e83ecb7af787fcd86eb1f",
"index": 7067,
"step-1": "<mask token>\n\n\nclass FunctionAppDisallowCORS(BaseResourceNegativeValueCheck):\n\n def __init__(self):\n name = 'Ensure function apps are not accessible from all regions'\n id = 'CKV_AZURE_62'\n supported_... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Solution:
def findWords(self, board: List[List[str]], words: List[str]) ->List[str]:
m = len(board)
n = len(board[0])
ans = []
root = ... | flexible | {
"blob_id": "f996dffcb9650663278ec1e31d9f88d50142f4ea",
"index": 4491,
"step-1": "<mask token>\n\n\nclass Solution:\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n\n def findWords(self, board: List[List[str]], words: List[str]) ->List[str]:\n m = len(board)\n n = len(board... | [
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class YandexSearch(BaseEngine):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def next_url(self, soup):
if (regex := re.findall('"(/search/\\?[^>]+p=[^"]+)', str(soup))):
return self.base_url + regex[-1]
de... | flexible | {
"blob_id": "0ec3ca0f952dbc09c7a7a3e746c0aeab28ee9834",
"index": 6498,
"step-1": "<mask token>\n\n\nclass YandexSearch(BaseEngine):\n <mask token>\n <mask token>\n <mask token>\n\n def next_url(self, soup):\n if (regex := re.findall('\"(/search/\\\\?[^>]+p=[^\"]+)', str(soup))):\n r... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class deeplens_classifier(BaseKerasClassifier):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class deeplens_classifier(BaseKerasClassifier):
def _model_definition(self, net... | flexible | {
"blob_id": "6bd47fb71a32b8383a75e72111d802008bc6bc68",
"index": 3350,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass deeplens_classifier(BaseKerasClassifier):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass deeplens_classifier(BaseKerasClassifier):\n\n def _model_definition(self,... | [
0,
1,
2,
3,
4
] |
# Copyright 2017-2018 Ivan Yelizariev <https://it-projects.info/team/yelizariev>
# License MIT (https://opensource.org/licenses/MIT).
from datetime import datetime, timedelta
from odoo import fields
from odoo.tests.common import TransactionCase
class TestCase(TransactionCase):
def setUp(self):
super(Test... | normal | {
"blob_id": "29ec576d1fe04108eeb03a5d1b167671d3004570",
"index": 4403,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass TestCase(TransactionCase):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass TestCase(TransactionCase):\n\n def setUp(self):\n super(TestCase, self).setUp()\n... | [
0,
1,
2,
3,
4
] |
import csv
#ratings.csv must be in the same directory
skipped_header = False
with open("ratings.csv") as in_file:
csvreader = csv.reader(in_file)
#read each row of ratings.csv (userId,movieId,rating,timestamp)
with open("ratings_train.csv", 'w') as train_out:
with open("ratings_test.csv", 'w... | normal | {
"blob_id": "e48a6a84268a0fe64e90714bd32712665934fc39",
"index": 2223,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('ratings.csv') as in_file:\n csvreader = csv.reader(in_file)\n with open('ratings_train.csv', 'w') as train_out:\n with open('ratings_test.csv', 'w') as test_out:\n... | [
0,
1,
2,
3,
4
] |
def checkRaiz():
a = int(input("Informe o primeiro coeficiente: "))
b = int(input("Informe o segundo coeficiente: "))
c = int(input("Informe o terceiro coeficiente: "))
delta = (b*b) - (4*a*c)
if (delta < 0):
print("Não tem raiz real")
elif (delta == 0):
print("Existe uma raiz... | normal | {
"blob_id": "603a73a7cc0487fcabb527ebc21d44cb95817ecb",
"index": 5909,
"step-1": "<mask token>\n",
"step-2": "def checkRaiz():\n a = int(input('Informe o primeiro coeficiente: '))\n b = int(input('Informe o segundo coeficiente: '))\n c = int(input('Informe o terceiro coeficiente: '))\n delta = b * ... | [
0,
1,
2,
3
] |
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