code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
<|reserved_special_token_0|>
def getmessage(request):
if request.method == 'POST':
data = json.loads(request.body)
uid = data.get('userid')
msglist = []
mres = Message.objects.filter(tuid_id=uid).all()
for res in mres:
record = {'messageid': res.id, 'userid': re... | flexible | {
"blob_id": "f25db7d797f1f88bd0374d540adcb396e16740a0",
"index": 8953,
"step-1": "<mask token>\n\n\ndef getmessage(request):\n if request.method == 'POST':\n data = json.loads(request.body)\n uid = data.get('userid')\n msglist = []\n mres = Message.objects.filter(tuid_id=uid).all()... | [
1,
2,
3,
4,
5
] |
dic = {"city": "Moscow", "temperature": 20}
# print(dic["city"])
# dic["temperature"] -= 5
# print(dic)
print(dic.get("country", "Russia"))
dic["date"] = "27.05.2019"
print(dic) | normal | {
"blob_id": "f145274c8caa1e725d12003874eb54a580a6e35e",
"index": 784,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(dic.get('country', 'Russia'))\n<mask token>\nprint(dic)\n",
"step-3": "dic = {'city': 'Moscow', 'temperature': 20}\nprint(dic.get('country', 'Russia'))\ndic['date'] = '27.05.2019'\... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def logPrint(logstr):
pyfileName = str(__file__).split('.py')[0].split('/')[-1]
filepath = '.\\log\\' + pyfileName + '-runlog.log'
now = str(datetime.datetime.now())
logstr = now + ' ' + logstr
with open(filepath, 'a', encoding='utf-8') as f:
print(logstr)
... | flexible | {
"blob_id": "2465a73d958d88dcd27cfac75a4e7b1fcd6a884e",
"index": 3389,
"step-1": "<mask token>\n\n\ndef logPrint(logstr):\n pyfileName = str(__file__).split('.py')[0].split('/')[-1]\n filepath = '.\\\\log\\\\' + pyfileName + '-runlog.log'\n now = str(datetime.datetime.now())\n logstr = now + ' ' + lo... | [
4,
5,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class sys_ping:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class last:
"""This class stores data from last sys_ping.ping()"""
min_time, avg_time, max_time, mdev_time = 0, 0, 0, 0
... | flexible | {
"blob_id": "44dee207ffa4f78293484126234a3b606e79915b",
"index": 5056,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass sys_ping:\n <mask token>\n <mask token>\n\n\n class last:\n \"\"\"This class stores data from last sys_ping.ping()\"\"\"\n min_time, avg_time, max_time, m... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class PassportQt(QDialog):
def __init__(self):
super(PassportQt, self).__init__()
self.passport_rep = PassportRepository()
self.initUI()
<|reserved_special_token_0|>
def click_add(self):
p_dict = {'id': -1, 'serial': '', 'number': ''}
... | flexible | {
"blob_id": "3f1715763a066fb337b3ff3d03e3736d0fb36b3f",
"index": 7325,
"step-1": "<mask token>\n\n\nclass PassportQt(QDialog):\n\n def __init__(self):\n super(PassportQt, self).__init__()\n self.passport_rep = PassportRepository()\n self.initUI()\n <mask token>\n\n def click_add(sel... | [
4,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
class Video(models.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": "9c98ecde2e8aac00a33da7db6e5e6023519e4b84",
"index": 7731,
"step-1": "<mask token>\n\n\nclass Video(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>\n\n ... | [
8,
14,
15,
16,
17
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(x, ' ' * 3, '5')
print('{:20d}'.format(x))
<|reserved_special_token_1|>
x = 5
print(x, ' ' * 3, '5')
print('{:20d}'.format(x))
<|reserved_special_token_1|>
x = 5
print(x , " "*3 , "5")
print("{:20d}".format(x))
| flexible | {
"blob_id": "88542a18d98a215f58333f5dd2bf5c4b0d37f32f",
"index": 5539,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(x, ' ' * 3, '5')\nprint('{:20d}'.format(x))\n",
"step-3": "x = 5\nprint(x, ' ' * 3, '5')\nprint('{:20d}'.format(x))\n",
"step-4": "x = 5\nprint(x , \" \"*3 , \"5\")\nprint(\"{:2... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Triangle Project Code.
# Triangle analyzes the lengths of the sides of a triangle
# (represented by a, b and c) and returns the type of triangle.
#
# It returns:
# 'equilateral' if all sides are equal
# 'isosceles' if exactly 2 sides are equal
# 'scalene' ... | normal | {
"blob_id": "5c8628e41c0dd544ade330fdd37841beca6c0c91",
"index": 3986,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass TriangleError(Exception):\n pass\n",
"step-3": "def triangle(a, b, c):\n \"\"\"\n Determines the number of non-matching sides using len(set()). Then uses dictiona... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def parse_args():
parser = argparse.ArgumentParser(description='Network speaker device.')
parser.add_argument('-d', '--debug', action='store_true', help=
'enable debugging messages')
parser.add_argument('--ho... | flexible | {
"blob_id": "bb173d8869039f8bbd3e35529cf2d99b26d2b8ff",
"index": 7130,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef parse_args():\n parser = argparse.ArgumentParser(description='Network speaker device.')\n parser.add_argument('-d', '--debug', action='store_true', help=\n 'enable de... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
app_name = 'cae_web_audio_visual'
urlpatterns = []
<|reserved_special_token_1|>
<|reserved_special_token_0|>
from django.conf.urls import url
from . import views
app_name = 'cae_web_audio_visual'
urlpatterns = []
<|reserved_s... | flexible | {
"blob_id": "5debc97e99bbd78b17e545896d718d4b0eac8519",
"index": 2430,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napp_name = 'cae_web_audio_visual'\nurlpatterns = []\n",
"step-3": "<mask token>\nfrom django.conf.urls import url\nfrom . import views\napp_name = 'cae_web_audio_visual'\nurlpatterns = ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class Post(models.Model):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def publish(self):
self.published_date = timezone.now()
self.save()
<|res... | flexible | {
"blob_id": "fe5398b03d2f0cfc7c972677faa0ea3ec701469e",
"index": 7858,
"step-1": "<mask token>\n\n\nclass Post(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def publish(self):\n self.published_date = timezone.now()\n self.save()\n ... | [
2,
3,
4,
5,
6
] |
from django.contrib import admin
from django.urls import path
from . import views
from .views import index
from .views import Login , logout
from .views import CheckOut
urlpatterns = [
path("",views.index, name="index"),
path('login', Login.as_view(), name='login'),
path('logout',... | normal | {
"blob_id": "c8aa93a33a6513129b4980180c4eb8d5d5eb3b5b",
"index": 2592,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [path('', views.index, name='index'), path('login', Login.\n as_view(), name='login'), path('logout', logout, name='logout'), path(\n 'cart/', views.cart, name='cart')... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def get_comports_list():
ports = list(lp.comports(include_links=False))
for p in ports:
print(p.device)
return ports
def read_while_LF(com, timeout_ms=500):
read_data = ''
delay_ms = 10
attempts = int(timeout_ms / delay_ms)
for i in range(attempts):
... | flexible | {
"blob_id": "e08fddefabf1b92aa97b939e05bb31d888df4e6a",
"index": 2241,
"step-1": "<mask token>\n\n\ndef get_comports_list():\n ports = list(lp.comports(include_links=False))\n for p in ports:\n print(p.device)\n return ports\n\n\ndef read_while_LF(com, timeout_ms=500):\n read_data = ''\n de... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(resp)
<|reserved_special_token_0|>
print(resp2)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
url = 'https://www.python.org/'
resp = requests.get(url)
print(resp)
url2 = 'https://www.python.org/1'
resp2 = requ... | flexible | {
"blob_id": "1af73c0ca38ea32119f622dc14741c0bb0aa08fd",
"index": 6344,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(resp)\n<mask token>\nprint(resp2)\n",
"step-3": "<mask token>\nurl = 'https://www.python.org/'\nresp = requests.get(url)\nprint(resp)\nurl2 = 'https://www.python.org/1'\nresp2 = r... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Event(models.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": "ca0bca24509df2bf0bd07fb2f31d3e7909957405",
"index": 3483,
"step-1": "<mask token>\n\n\nclass Event(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>\n <... | [
11,
13,
15,
16,
21
] |
from bs4 import BeautifulSoup
import requests
import pandas as pd
import json
cmc = requests.get('https://coinmarketcap.com/')
soup = BeautifulSoup(cmc.content, 'html.parser')
data = soup.find('script', id="__NEXT_DATA__", type="application/json")
coins = {}
slugs = {}
coin_data = json.loads(data.contents[0])
listin... | normal | {
"blob_id": "925e1a1a99b70a8d56289b72fa0e16997e12d854",
"index": 4038,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in listings:\n coins[str(i['id'])] = i['slug']\n slugs[i['slug']] = str(i['id'])\nfor i in coins:\n page = requests.get(\n f'https://coinmarketcap.com/currencies/{co... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def parse_json(text):
start = text.find('{')
end = text.find('}') + 1
try:
data = json.loads(text[start:end])
return data
except Exception:
logger.error('json解析失败：%s' % text)
<|reserved_... | flexible | {
"blob_id": "9f8fbfb8a9c849ca0e8881c479800c8e190e4a1c",
"index": 6485,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef parse_json(text):\n start = text.find('{')\n end = text.find('}') + 1\n try:\n data = json.loads(text[start:end])\n return data\n except Exception:\n ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class Setting_GUI(Toplevel):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Setting_GUI(Toplevel):
def __init__(self, parent):
super().__init__()
self.parent = parent
key =... | flexible | {
"blob_id": "9340c9055a7e0d74d232d878b43d91a3e6cd32e5",
"index": 5785,
"step-1": "<mask token>\n\n\nclass Setting_GUI(Toplevel):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Setting_GUI(Toplevel):\n\n def __init__(self, parent):\n super().__init__()\n self.parent ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class UpdateCartView(View):
<|reserved_special_token_0|>
def post(self, request):
user = request.user
if not user.is_authenticated:
return JsonResponse({'res': 0, 'errmsg': '请先登录'})
sku_id = request.POST.get('sku_id')
count = request.PO... | flexible | {
"blob_id": "5feea24d269409306338f772f01b0ee1d2736e2e",
"index": 9246,
"step-1": "<mask token>\n\n\nclass UpdateCartView(View):\n <mask token>\n\n def post(self, request):\n user = request.user\n if not user.is_authenticated:\n return JsonResponse({'res': 0, 'errmsg': '请先登录'})\n ... | [
11,
14,
17,
19,
20
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
sys.path.insert(0, 'main')
<|reserved_special_token_0|>
main.hammer(workspace)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
sys.path.insert(0, 'main')
<|reserved_special_token_0|>
workspace = os.path.abspath(sys.ar... | flexible | {
"blob_id": "4e1f7fddb6bd3413dd6a8ca21520d309af75c811",
"index": 931,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsys.path.insert(0, 'main')\n<mask token>\nmain.hammer(workspace)\n",
"step-3": "<mask token>\nsys.path.insert(0, 'main')\n<mask token>\nworkspace = os.path.abspath(sys.argv[1])\nmain.ham... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def get_files(directory_path):
dirpath = directory_path
files = [f for f in listdir(dirpath) if isfile(join(dirpath, f)) and
'.npy' in f]
files = sorted(files)
n_files = len(files)
print('number of files=' + str(n_files))
return files, n_files
<|reserved... | flexible | {
"blob_id": "b240e328ee6c5677991d3166c7b00f1b3a51787e",
"index": 4765,
"step-1": "<mask token>\n\n\ndef get_files(directory_path):\n dirpath = directory_path\n files = [f for f in listdir(dirpath) if isfile(join(dirpath, f)) and \n '.npy' in f]\n files = sorted(files)\n n_files = len(files)\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class RealWorldFeatures(Features):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class RealWorldFeatures(Features):
def __init__(self):
super().__init__('tsagkias/real_world_features')
<|re... | flexible | {
"blob_id": "f6b2e66379b483c6a573d34d73ae0d10de7315a3",
"index": 6815,
"step-1": "<mask token>\n\n\nclass RealWorldFeatures(Features):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass RealWorldFeatures(Features):\n\n def __init__(self):\n super().__init__('tsagkias/real_worl... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class User(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|>
class Product(Model):
__tablename__ = 'products'
id = Column(I... | flexible | {
"blob_id": "e73c4a99c421b3eca08c941ff1f83cb03faee97d",
"index": 2558,
"step-1": "<mask token>\n\n\nclass User(Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass Product(Model):\n __tablename__ = 'products'\n id = Column(Integer, p... | [
7,
8,
9,
10,
12
] |
import bpy
class TILA_Config_LogElement(bpy.types.PropertyGroup):
name: bpy.props.StringProperty(default='')
icon: bpy.props.StringProperty(default='BLANK1')
class TILA_Config_LogList(bpy.types.UIList):
bl_idname = "TILA_UL_Config_log_list"
def draw_item(self, context, layout, data, item, icon, active_data, ac... | normal | {
"blob_id": "7fa7a632078ce4f0052e3cadf11d5efd47a1fad5",
"index": 831,
"step-1": "<mask token>\n\n\nclass TILA_Config_LogList(bpy.types.UIList):\n <mask token>\n <mask token>\n\n\nclass TILA_Config_SatusList(bpy.types.UIList):\n bl_idname = 'TILA_UL_Config_status_list'\n\n def draw_item(self, context,... | [
12,
13,
14,
15,
17
] |
# -*- coding: utf-8 -*-
__all__ = "corner"
import logging
import numpy as np
from corner.core import corner_impl
try:
from corner.arviz_corner import arviz_corner
except ImportError:
arviz_corner = None
def corner(
data,
bins=20,
*,
# Original corner parameters
range=None,
axes_sc... | normal | {
"blob_id": "ae998fb17b8d6f4f5c8871a0ebe86a039501ec99",
"index": 5959,
"step-1": "<mask token>\n\n\ndef corner(data, bins=20, *, range=None, axes_scale='linear', weights=None,\n color=None, hist_bin_factor=1, smooth=None, smooth1d=None, labels=None,\n label_kwargs=None, titles=None, show_titles=False, titl... | [
1,
2,
3,
4,
5
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 16 20:47:28 2019
@author: jaco
"""
| normal | {
"blob_id": "d806d1b31712e3d8d60f4bfbc60c6939dfeeb357",
"index": 9579,
"step-1": "<mask token>\n",
"step-2": "#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Mon Dec 16 20:47:28 2019\n\n@author: jaco\n\"\"\"\n\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
... | [
0,
1
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if download_dir != '':
os.chdir(download_dir)
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
soup.findAll('a')
one_a_tag = soup.findAll('a')[startindex:]
links = [one_a_tag[... | flexible | {
"blob_id": "ff0495ee1f4aa1f243c82b709a974d3d7c37e8bd",
"index": 2425,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif download_dir != '':\n os.chdir(download_dir)\n response = requests.get(url)\n soup = BeautifulSoup(response.text, 'html.parser')\n soup.findAll('a')\n one_a_tag = soup.f... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class TestRawJob:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class TestRawJob:
def __init__(self, parsedRow):
values = [string.strip().lower() for string in parsedRow]
keys = ['Id', 'Title', 'Description', 'Raw Locat... | flexible | {
"blob_id": "4eac468db955ca5ef5d2ec6ba67bd6c7f4d865f4",
"index": 2050,
"step-1": "<mask token>\n",
"step-2": "class TestRawJob:\n <mask token>\n",
"step-3": "class TestRawJob:\n\n def __init__(self, parsedRow):\n values = [string.strip().lower() for string in parsedRow]\n keys = ['Id', 'T... | [
0,
1,
2,
3
] |
print('\n')
# Первый вариант
def fn1():
print("One")
def fn2():
print("Two")
def fn3():
print("Three")
fndict = {"A": fn1, "B": fn2, "C": fn3}
keynames = ["A", "B", "C"]
fndict[keynames[1]]()
fndict['C']()
# Второй вариант
def add(one,two):
c = one+two
print(c)
print(type(c))
def sub(one,two... | normal | {
"blob_id": "dc226a646af32d052c6d51832b95a340d6986e08",
"index": 489,
"step-1": "<mask token>\n\n\ndef fn1():\n print('One')\n\n\ndef fn2():\n print('Two')\n\n\ndef fn3():\n print('Three')\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef fn1():\n print('One')\n\n\ndef fn2():\n print('Two')... | [
3,
4,
5,
6,
8
] |
<|reserved_special_token_0|>
class TextColors:
BUY = '\x1b[92m'
WARNING = '\x1b[93m'
SELL_LOSS = '\x1b[91m'
SELL_PROFIT = '\x1b[32m'
DIM = '\x1b[2m\x1b[35m'
DEFAULT = '\x1b[39m'
YELLOW = '\x1b[33m'
TURQUOISE = '\x1b[36m'
UNDERLINE = '\x1b[4m'
END = '\x1b[0m'
ITALICS = '\x1b... | flexible | {
"blob_id": "77f94ecd205ae9f240f25d959a6d5cd9cf844d86",
"index": 844,
"step-1": "<mask token>\n\n\nclass TextColors:\n BUY = '\\x1b[92m'\n WARNING = '\\x1b[93m'\n SELL_LOSS = '\\x1b[91m'\n SELL_PROFIT = '\\x1b[32m'\n DIM = '\\x1b[2m\\x1b[35m'\n DEFAULT = '\\x1b[39m'\n YELLOW = '\\x1b[33m'\n ... | [
5,
7,
8,
9,
10
] |
# Global version information
__version__ = "0.6.1"
| normal | {
"blob_id": "8aeb7786984f27fabdcaffa54f52eb868c277fdb",
"index": 7707,
"step-1": "<mask token>\n",
"step-2": "__version__ = '0.6.1'\n",
"step-3": "# Global version information\n__version__ = \"0.6.1\"\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
try:
import DMP
except ImportError:
sys.path.append(path.dirname(path.dirname(path.abspath(__file__))))
<|reserved_special_token_0|>
if __name__ == '__main__':
file_dict = {KEY_TOTAL: SAVE_FILE_TOTAL, KEY_TRAIN: SAVE_F... | flexible | {
"blob_id": "ca25739583d3b7ff449fbd2f56a96631981c815d",
"index": 5986,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n import DMP\nexcept ImportError:\n sys.path.append(path.dirname(path.dirname(path.abspath(__file__))))\n<mask token>\nif __name__ == '__main__':\n file_dict = {KEY_TOTAL: S... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
serviceType = "server"
serviceDesc = _({"en": "Icecream Daemon",
"tr": "Icecream Servisi"})
from comar.service import *
@synchronized
def start():
startService(command="/opt/icecream/sbin/iceccd",
args="-d -m 5 > /dev/null",
pidfile="/var/... | normal | {
"blob_id": "e3603d90bd5aa5de40baa27b62acf6f71eff9f6c",
"index": 6827,
"step-1": "<mask token>\n\n\n@synchronized\ndef start():\n startService(command='/opt/icecream/sbin/iceccd', args=\n '-d -m 5 > /dev/null', pidfile='/var/run/iceccd.pid', donotify=True)\n\n\n<mask token>\n\n\ndef status():\n retu... | [
2,
3,
4,
5,
6
] |
from selenium import selenium
class SharedSeleniumExecutionContext:
host =None
port =None
browserStartCommand =None
url = None
seleniumInstance=None
isInitialized=False
lastVisitedLocation=None
optionBeingHandled=None
itemToDrag=None
def __init__(self, host, port, brow... | normal | {
"blob_id": "e75fb023e2e3d3fd258a316a6827b2601c9f4b2d",
"index": 3762,
"step-1": "<mask token>\n\n\nclass SharedSeleniumExecutionContext:\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 to... | [
9,
12,
13,
14,
16
] |
<|reserved_special_token_0|>
def click(valor):
global i
screen.insert(i, valor)
i += 1
<|reserved_special_token_0|>
def hacer_operacion():
ecuacion = screen.get()
try:
result = eval(ecuacion)
screen.delete(0, END)
screen.insert(0, result)
i = 0
except:
... | flexible | {
"blob_id": "1a42892095d820f1e91ba5e7f2804b5a21e39676",
"index": 2107,
"step-1": "<mask token>\n\n\ndef click(valor):\n global i\n screen.insert(i, valor)\n i += 1\n\n\n<mask token>\n\n\ndef hacer_operacion():\n ecuacion = screen.get()\n try:\n result = eval(ecuacion)\n screen.delete... | [
2,
4,
5,
6,
7
] |
"""
Neuraxle Tensorflow V1 Utility classes
=========================================
Neuraxle utility classes for tensorflow v1.
..
Copyright 2019, Neuraxio Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obta... | normal | {
"blob_id": "76a22408bb423d9a5bc5bc007decdbc7c6cc98f7",
"index": 8397,
"step-1": "<mask token>\n\n\nclass TensorflowV1ModelStep(BaseTensorflowModelStep):\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, create_graph, create_loss, create_optimizer,\n create_feed_dict=None, da... | [
13,
15,
16,
19,
21
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def mask(image):
green_frame = image[50:350, 50:350]
cv2.rectangle(image, (50, 50), (350, 350), (0, 255, 0), 0)
hsv = cv2.cvtColor(green_frame, cv2.COLOR_BGR2HSV)
lower_skin = np.array([0, 20, 70], dtype=np.uint8... | flexible | {
"blob_id": "2286aa1581ca7d6282b35847505a904980da275e",
"index": 8659,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef mask(image):\n green_frame = image[50:350, 50:350]\n cv2.rectangle(image, (50, 50), (350, 350), (0, 255, 0), 0)\n hsv = cv2.cvtColor(green_frame, cv2.COLOR_BGR2HSV)\n ... | [
0,
1,
2,
3,
4
] |
<|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": "6bc400896c004f0fdddbbd3dd73ef9aaa19eb4db",
"index": 1053,
"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 = []\n operat... | [
0,
1,
2,
3,
4
] |
"""
bets.models
Models relating to bets placed
"""
import datetime
from mongoengine import *
from decimal import Decimal
from app.groups.models import Group
from app.users.models import User
from app.matches.models import Match
from app.project.config import CURRENCIES
class GroupMatch(Document):
"""Associate ea... | normal | {
"blob_id": "0e8a11c5b5a95929c533597d79ee4f3d037c13e0",
"index": 4961,
"step-1": "<mask token>\n\n\nclass Bet(Document):\n \"\"\"Bet that a user has placed\"\"\"\n OUTCOME = (-1, 'Team 2 wins'), (0, 'Draw'), (1, 'Team 1 wins')\n group_match = ReferenceField(GroupMatch)\n user = ReferenceField(User)\n... | [
9,
10,
15,
16,
17
] |
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
import tensorflow as tf
import numpy as np
x = 2
y = 3
add_op = tf.add(x, y)
mul_op = tf.multiply(x, y)
output_1 = tf.multiply(x, add_op)
output_2 = tf.pow(add_op, mul_op)
with tf.Session() as sess:
output_1, output_2 = sess.run([output_1, output_2])
print(output_1... | normal | {
"blob_id": "da2e388c64bbf65bcef7d09d7596c2869f51524a",
"index": 4025,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith tf.Session() as sess:\n output_1, output_2 = sess.run([output_1, output_2])\nprint(output_1, output_2)\n",
"step-3": "<mask token>\nos.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'\n<ma... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class MainPage(PageObject):
<|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|>
def __init__(self, webdri... | flexible | {
"blob_id": "c6cf085330f47ffb139c5acc91d91e9758f5396a",
"index": 274,
"step-1": "<mask token>\n\n\nclass MainPage(PageObject):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, webdriver, root_uri=None):\n ... | [
6,
7,
10,
11,
12
] |
import re
from xml.etree import ElementTree
def get_namespace(xml_path):
with open(xml_path) as f:
namespaces = re.findall(r"xmlns:(.*?)=\"(.*?)\"", f.read())
return dict(namespaces)
def get_comic_data(item, ns):
return {
"title": item.find("title").text,
"post_date": item.find("... | normal | {
"blob_id": "86a15bb2e4d59fb5c8763fa2de31164beb327685",
"index": 7928,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef get_namespace(xml_path):\n with open(xml_path) as f:\n namespaces = re.findall('xmlns:(.*?)=\\\\\"(.*?)\\\\\"', f.read())\n return dict(namespaces)\n\n\ndef get_comic... | [
0,
2,
3,
4,
5
] |
correction_list = {}
correction_list["Legend of Zelda, The - Majora's Mask"] = "The Legend of Zelda - Majora's Mask"
correction_list["Legend of Zelda, The - Ocarina of Time"] = "The Legend of Zelda - Ocarina of Time"
correction_list["Doubutsu no Mori"] = "Animal Forest"
correction_list["Bomberman 64 - The Second Attac... | normal | {
"blob_id": "c4dcb94b7d6e45b875dccde752d3621e491f1076",
"index": 6382,
"step-1": "<mask token>\n",
"step-2": "correction_list = {}\ncorrection_list[\"Legend of Zelda, The - Majora's Mask\"\n ] = \"The Legend of Zelda - Majora's Mask\"\ncorrection_list['Legend of Zelda, The - Ocarina of Time'\n ] = 'The L... | [
0,
1,
2
] |
<|reserved_special_token_0|>
def main():
args = parser.parse_args()
quiet = False
if args.quiet:
quiet = True
tempo2 = True
ptoa = False
if args.print_toas:
ptoa = True
if not quiet:
print('Loading the archive files for DM estimation')
archives = []
for file... | flexible | {
"blob_id": "e464b465c4bc90c250c0ea02c17b7398d975964b",
"index": 1163,
"step-1": "<mask token>\n\n\ndef main():\n args = parser.parse_args()\n quiet = False\n if args.quiet:\n quiet = True\n tempo2 = True\n ptoa = False\n if args.print_toas:\n ptoa = True\n if not quiet:\n ... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
def subtract_moving_average(df, n=50):
k = n
bgnorm = pd.DataFrame(np.zeros((len(df), len(df.columns))))
for j in range(0, len(df)):
for i in range(0, len(df.columns)):
indices = range(max(1, i - k), min(i + k, len(df.columns)))
avg = df.iloc[j,... | flexible | {
"blob_id": "54d714d1e4d52911bcadf3800e7afcc2c9a615a5",
"index": 6743,
"step-1": "<mask token>\n\n\ndef subtract_moving_average(df, n=50):\n k = n\n bgnorm = pd.DataFrame(np.zeros((len(df), len(df.columns))))\n for j in range(0, len(df)):\n for i in range(0, len(df.columns)):\n indices... | [
2,
4,
5,
6,
7
] |
from django.conf.urls import url
from price_App import views
from rest_framework.urlpatterns import format_suffix_patterns
urlpatterns = [
url(r'^api/price/(?P<pk>[0-9]+)$', views.product_price),
url(r'^api/price_history/(?P<pk>[0-9]+)$', views.product_history),]
urlpatterns = format_suffix... | normal | {
"blob_id": "9816a8265bcdb8c099f599efbe1cfe1a554e71f5",
"index": 8396,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [url('^api/price/(?P<pk>[0-9]+)$', views.product_price), url(\n '^api/price_history/(?P<pk>[0-9]+)$', views.product_history)]\nurlpatterns = format_suffix_patterns(urlpat... | [
0,
1,
2,
3
] |
class SensorReadings:
def __init__(self, sense_hat):
self.temprerature_humidity_sensor = sense_hat.get_temperature_from_humidity()
self.temperature_pressure_sensor = sense_hat.get_temperature_from_pressure()
self.humidity = sense_hat.get_humidity()
self.pressure = sense_hat.get_pressure()
def prin... | normal | {
"blob_id": "f680503488a2780624b28e49b045aad75506d8c5",
"index": 3248,
"step-1": "class SensorReadings:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "class SensorReadings:\n <mask token>\n\n def printReadings(self):\n print('temperature from humidity sensor... | [
1,
2,
3,
4,
6
] |
<|reserved_special_token_0|>
@attr.s
class GPTools:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def parse(self):
if self.input_file is None:
... | flexible | {
"blob_id": "c6821cb8dd6f8d74ca20c03f87dae321eb869c32",
"index": 2454,
"step-1": "<mask token>\n\n\n@attr.s\nclass GPTools:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def parse(self):\n if self.input_file is None:\n self.in... | [
7,
8,
9,
11,
12
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def run(save_rate):
rdataname = readpath + dataname
rlabelname = readpath + labelname
wdataname = writepath + dataname
wlabelname = writepath + labelname
ordata = []
all_user = set()
all_time = set()
... | flexible | {
"blob_id": "4bd6a7c7fc6a788b2cb010f6513872bd3e0d396c",
"index": 5011,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef run(save_rate):\n rdataname = readpath + dataname\n rlabelname = readpath + labelname\n wdataname = writepath + dataname\n wlabelname = writepath + labelname\n orda... | [
0,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def getEC2FilteredRegionalInstanceInfo(region):
ec2RegionalClient = boto3.client('ec2', region_name=region)
paginator = ec2RegionalClient.get_paginator('describe_instances')
page_iterator = paginator.paginate()
allEC2Instances = []
for result in page_iterator:
... | flexible | {
"blob_id": "d5f1601d11eb54e6c3dafab0137ec8f2358bb568",
"index": 4101,
"step-1": "<mask token>\n\n\ndef getEC2FilteredRegionalInstanceInfo(region):\n ec2RegionalClient = boto3.client('ec2', region_name=region)\n paginator = ec2RegionalClient.get_paginator('describe_instances')\n page_iterator = paginato... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
class DeebotVacuum(DeebotEntity, StateVacuumEntity):
<|reserved_special_token_0|>
def __init__(self, vacuum_bot: VacuumBot):
"""Initialize the Deebot Vacuum."""
device_info = vacuum_bot.device_info
if device_info.nick is not None:
name: str = d... | flexible | {
"blob_id": "1ab690b0f9c34b1886320e1dfe8b54a5ec6cd4d1",
"index": 8712,
"step-1": "<mask token>\n\n\nclass DeebotVacuum(DeebotEntity, StateVacuumEntity):\n <mask token>\n\n def __init__(self, vacuum_bot: VacuumBot):\n \"\"\"Initialize the Deebot Vacuum.\"\"\"\n device_info = vacuum_bot.device_... | [
5,
6,
9,
10,
13
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
'''import pyttsx3
#engine = pyttsx3.init()
#Conficuração das vozes
#voices = engine.getProperty('voices')
#engine.setProperty('voice', voices[2].id)
engine=pyttsx3.init()
voices=engine.getProperty('voices')
engine.setProperty('voice',voices[3].id)
#Falar... | flexible | {
"blob_id": "d9bf58dc76d4e8d7146fac3bb2bdfb538ebf78a5",
"index": 7102,
"step-1": "<mask token>\n",
"step-2": "'''import pyttsx3\n\n#engine = pyttsx3.init()\n\n#Conficuração das vozes\n#voices = engine.getProperty('voices')\n#engine.setProperty('voice', voices[2].id)\n\nengine=pyttsx3.init()\n\nvoices=engine.ge... | [
0,
1
] |
<|reserved_special_token_0|>
class UserinfoTest(TestInterfaceCase):
def setUp(self):
login = req.reqData(req)
self.infoma = {}
self.response = ''
self.infoma['id'] = x['testinfo'][0]['id']
self.infoma['module'] = x['testinfo'][0]['module']
self.infoma['intr'] = x['... | flexible | {
"blob_id": "aea196566bbbe9d37bf03b9b17a4062659a27bb6",
"index": 1446,
"step-1": "<mask token>\n\n\nclass UserinfoTest(TestInterfaceCase):\n\n def setUp(self):\n login = req.reqData(req)\n self.infoma = {}\n self.response = ''\n self.infoma['id'] = x['testinfo'][0]['id']\n s... | [
10,
11,
13,
15,
17
] |
<|reserved_special_token_0|>
class Source(object):
<|reserved_special_token_0|>
def __init__(self, handler):
self.handler = handler
def get_activities(self, user_id=None, group_id=None, app_id=None,
activity_id=None, start_index=0, count=0):
"""Return a total count and list of Ac... | flexible | {
"blob_id": "29428e9ca4373c9f19d1412046ebe4fc3b1c48e3",
"index": 6300,
"step-1": "<mask token>\n\n\nclass Source(object):\n <mask token>\n\n def __init__(self, handler):\n self.handler = handler\n\n def get_activities(self, user_id=None, group_id=None, app_id=None,\n activity_id=None, star... | [
5,
6,
7,
8,
10
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@with_app(buildername='html', srcdir=
'doc_test/doc_role_need_max_title_length_unlimited')
def test_max_title_length_unlimited(app, status, warning):
os.environ['MAX_TITLE_LENGTH'] = '-1'
app.build()
html = Path(... | flexible | {
"blob_id": "3346ca7cdcfe9d9627bfe08be2b282897b3c319c",
"index": 6943,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@with_app(buildername='html', srcdir=\n 'doc_test/doc_role_need_max_title_length_unlimited')\ndef test_max_title_length_unlimited(app, status, warning):\n os.environ['MAX_TITLE_... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
"""
Created on Wed May 15 17:05:30 2019
@author: qinzhen
"""
import numpy as np
# =============================================================================
# Q5
# =============================================================================
#### Part 1 计算MLE
File = "ner_proc.counts"
q2 = ... | normal | {
"blob_id": "9683c7df01eda0d97615fb3e8f9496ecc95d1d32",
"index": 8494,
"step-1": "<mask token>\n\n\ndef Viterbi(sentence, q, e):\n K = list(Count_y.keys())\n Pi = {}\n bp = {}\n n = len(sentence)\n for i in range(n + 1):\n Pi[i - 1] = {}\n bp[i - 1] = {}\n Pi[-1]['*', '*'] = 1\n ... | [
1,
2,
3,
4,
5
] |
from typing import List
import glm
import pxng
import OpenGL.GL as gl
class VertexArrayObject:
def __init__(self, primitive):
self._primitive = primitive
self._buffers: List[pxng.BufferObject] = []
self._indices = pxng.BufferObject(data_type=self.index_data_type,
... | normal | {
"blob_id": "7530c2c85f83d1714840ba97c1ec702f063658c5",
"index": 379,
"step-1": "<mask token>\n\n\nclass VertexArrayObject:\n\n def __init__(self, primitive):\n self._primitive = primitive\n self._buffers: List[pxng.BufferObject] = []\n self._indices = pxng.BufferObject(data_type=self.ind... | [
9,
11,
12,
13,
17
] |
from flask import Flask, render_template, url_for, request, jsonify
from model.model import load_site_config, load_hero_mapping, load_pretrained_model, valid_input, data_to_feature
from model.model import combine_list, hero_ids
from itertools import product
import numpy as np
app = Flask(__name__,static_folder='./stat... | normal | {
"blob_id": "06605bbd91c62a02a66770ca3f37a9d2d1401ccb",
"index": 9929,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef demo():\n return render_template('home.html', hero_mapping=hero_mapping)\n\n\n@app.route('/predict', methods=['POST'])\ndef predict():\n valid, res = valid_input(list(request.json))\n ... | [
3,
4,
5,
6,
7
] |
import requests
import json
class Parser:
init_url = r'https://www.joom.com/tokens/init'
products_url = r'https://api.joom.com/1.1/search/products?language=ru-RU¤cy=RUB'
def __init__(self, links_list):
self.links = links_list
self.product_info_dict = {}
access_token = json.l... | normal | {
"blob_id": "00c6899b9d49cbbd0f1980eada77ad91562211a0",
"index": 4471,
"step-1": "<mask token>\n\n\nclass Parser:\n <mask token>\n <mask token>\n <mask token>\n\n def get_description(self, id_str, headers):\n link = ('https://api.joom.com/1.1/products/' + id_str +\n '?language=ru-RU... | [
2,
3,
4,
5,
6
] |
#!/usr/bin/env python
import sys
import random
def apply(mine, target, diff):
if mine == [1, 1, 1, 1] or target == [1, 1, 1, 1]:
return -1
if diff < 0:
for i in range(0, 4):
if i - diff < 4:
mine[i] = mine[i - diff]
else:
mine[i] = 0
elif diff > 0:
for i in range(3, -1, -1):
if i - diff > -1... | normal | {
"blob_id": "44d1412d48886eb9126a895d61004e6ccbd4850b",
"index": 7636,
"step-1": "#!/usr/bin/env python\nimport sys\nimport random\n\ndef apply(mine, target, diff):\n\tif mine == [1, 1, 1, 1] or target == [1, 1, 1, 1]:\n\t\treturn -1\n\n\tif diff < 0:\n\t\tfor i in range(0, 4):\n\t\t\tif i - diff < 4:\n\t\t\t\tm... | [
0
] |
<|reserved_special_token_0|>
def folders_with_documents(pat_ids, main_dir_name, doc_prog_folder):
str_pat_ids = [str(pat_id) for pat_id in pat_ids]
str_pat_folder_names = [os.path.join(main_dir_name, os.path.join(
str_pat_id, doc_prog_folder)) for str_pat_id in str_pat_ids]
for pid, folder in zip(... | flexible | {
"blob_id": "e38ae7f91deed1be00e60b7516210ea1feefe23e",
"index": 285,
"step-1": "<mask token>\n\n\ndef folders_with_documents(pat_ids, main_dir_name, doc_prog_folder):\n str_pat_ids = [str(pat_id) for pat_id in pat_ids]\n str_pat_folder_names = [os.path.join(main_dir_name, os.path.join(\n str_pat_id... | [
4,
5,
6,
7,
8
] |
from django.shortcuts import render
import requests
from bs4 import BeautifulSoup
import json
from rest_framework.response import Response
from rest_framework.decorators import api_view,authentication_classes,permission_classes
from rest_framework import status
from django.contrib.staticfiles.storage import staticfiles... | normal | {
"blob_id": "ed80f5f898548ca012779543051ccff5b34e4fcc",
"index": 730,
"step-1": "<mask token>\n\n\ndef getdata(url):\n data = requests.get(url)\n return data.text\n\n\ndef get_json():\n file_path = staticfiles_storage.path('coordinates.json')\n with open(file_path, 'r') as f:\n data = json.loa... | [
2,
3,
4,
5,
6
] |
from django.contrib.auth.forms import UserChangeForm
from django.contrib.auth.models import User
from django import forms
class editForm(forms.ModelForm):
username = forms.CharField(max_length=100, widget= forms.TextInput(attrs={'class': 'form-control'}))
first_name = forms.CharField(max_length=100, widget= fo... | normal | {
"blob_id": "ae8add3adc336c9404cd2aeab4aff81c94c8884e",
"index": 7174,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass editForm(forms.ModelForm):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\n class Meta:\n model = User\n fields = 'username', 'firs... | [
0,
1,
2,
3,
4
] |
import threading
import time
# import numpy as np
import pickle
from utils.ret_utils import error_info
from nodule_class.isnodule import LungIsncls
from preprocessing.location import lobe_locate_gmm
from detection.lung_detection import LungDetection
from func_timeout import FunctionTimedOut
from func_timeout import fu... | normal | {
"blob_id": "8035f195cd01dc50691cd93ea91a6377b1d83f24",
"index": 1166,
"step-1": "<mask token>\n\n\nclass GpuThread(threading.Thread):\n <mask token>\n\n def run(self):\n i = 0\n while True:\n result_dict = self.que_det.get(block=True)\n try:\n print(time.... | [
2,
3,
4,
5,
6
] |
#Homework 09
#Raymond Guevara
#018504731
#Algorithm Workbench
#Question 1
print("Question 1")
height = int(input("Please enter your height: "))
print()
#Question 2
print("Question 2")
color = input("please enter your favorite color: ")
print()
#Question 3
print("Question 3")
a = -8/3 #Solved for variable "a" usin... | normal | {
"blob_id": "82c426836fee0560e917848084af4ca124e74dff",
"index": 7043,
"step-1": "<mask token>\n",
"step-2": "print('Question 1')\n<mask token>\nprint()\nprint('Question 2')\n<mask token>\nprint()\nprint('Question 3')\n<mask token>\nprint('%.2f' % b)\n<mask token>\nprint('%.2f' % a)\n<mask token>\nprint('%.2f'... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class addUserForm(forms.Form):
<|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_... | flexible | {
"blob_id": "39b6ca21b8d4856e2b2edfcbd00b75fbce6dfff7",
"index": 1407,
"step-1": "<mask token>\n\n\nclass addUserForm(forms.Form):\n <mask token>\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 addUserForm(for... | [
1,
2,
3,
4,
5
] |
import csv, requests
from bs4 import BeautifulSoup
items = [] # chooseKey, count, grade, keyType, mainCategory, mainKey,
# name, pricePerOne, subCategory, subKey, totalTradeCount,
# mainLabel, subLabel, description
mpItems = [] # chooseKey, count, grade, keyType, mainCategory, mainKey,
... | normal | {
"blob_id": "47ad08bb153801f592d90c48d62338d0f7703899",
"index": 2788,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef openCsv():\n \"\"\"Open csv file.\"\"\"\n csvFile = 'BDO_app/modules/priceCheck/itemID.csv'\n return csvFile\n\n\ndef importAll():\n \"\"\"Import all the items from cs... | [
0,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
class TableGenerator:
"""Generates table from data."""
def __init__(self, f_cell, dim_rows, dim_cols, headerRowNames, title='',
color_scheme=None, table_postprocessor=None, vertical_border=1,
table_variants=None, default_color_thresholds=None,
layered_head... | flexible | {
"blob_id": "b3cb94a44f64091714650efb81c4cad27b211cef",
"index": 8804,
"step-1": "<mask token>\n\n\nclass TableGenerator:\n \"\"\"Generates table from data.\"\"\"\n\n def __init__(self, f_cell, dim_rows, dim_cols, headerRowNames, title='',\n color_scheme=None, table_postprocessor=None, vertical_bord... | [
22,
30,
37,
44,
48
] |
<|reserved_special_token_0|>
class SubstrateLayer(Layer):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def __repr__(self):
return '{} (substrate)'.format(self.name)
class TerminatorLayer(Layer):
"""A special case of ``Layer``; represents the layer upon which the simulated wave ... | flexible | {
"blob_id": "a2292bc9cee57c5d4a7d36c66510ce4b4f3e20da",
"index": 3687,
"step-1": "<mask token>\n\n\nclass SubstrateLayer(Layer):\n <mask token>\n <mask token>\n\n def __repr__(self):\n return '{} (substrate)'.format(self.name)\n\n\nclass TerminatorLayer(Layer):\n \"\"\"A special case of ``Laye... | [
45,
51,
53,
54,
60
] |
import pytesseract
from PIL import Image
import tensorflow as tf
from keras.models import load_model
from tensorflow import Graph
import os
import json
import cv2
import numpy as np
global class_graph
def classify(img, c_model):
#global class_graph
""" classifies images in a given folder using the 'model... | normal | {
"blob_id": "c7d51f6448400af5630bdc0c29493320af88288e",
"index": 7424,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef classify(img, c_model):\n \"\"\" classifies images in a given folder using the 'model'\"\"\"\n im_size = 128\n img = cv2.resize(img, (im_size, im_size))\n img = img.as... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
providers = {'provider-1': {'name': 'provider-1', 'roles': ['licensor',
'producer'], 'description':
'This is a full description of the provider', 'url':
'https://www.provider.com'}, 'provider-2': {'name': 'provider-2',
'roles': ['licensor'], '... | flexible | {
"blob_id": "7801676df91a7ded6f123113acc62f3955dfe6cb",
"index": 7113,
"step-1": "<mask token>\n",
"step-2": "providers = {'provider-1': {'name': 'provider-1', 'roles': ['licensor',\n 'producer'], 'description':\n 'This is a full description of the provider', 'url':\n 'https://www.provider.com'}, 'pro... | [
0,
1,
2
] |
#!/usr/bin/env python
# Copyright 2013 The Flutter Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import argparse
import subprocess
import sys
import os
def main():
parser = argparse.ArgumentParser(
description='Create the s... | normal | {
"blob_id": "d5c6582547df540ffc9c73d10a3405ec97487bba",
"index": 4513,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n parser = argparse.ArgumentParser(description=\n 'Create the symbol specifying the location of test fixtures.')\n parser.add_argument('--fixtures_location_fi... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@core.route('/post')
@core.route('/categorie')
@core.route('/tag')
def returnToHome():
return redirect(url_for('home'))
<|reserved_special_token_1|>
from flask import render_template, url_for, escape, redirect, abort
from... | flexible | {
"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
] |
#!/usr/bin/env python
from django.http import HttpResponse
try:
import simplejson as json
except ImportError:
import json
from api import *
def index(request):
data = parse_signed_request(request)
if not data.has_key('user_id'):
request_url = oauth_request_url()
... | normal | {
"blob_id": "17f76c2b53b36c81cea7f7616859f5257790cd73",
"index": 9298,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef index(request):\n data = parse_signed_request(request)\n if not data.has_key('user_id'):\n request_url = oauth_request_url()\n return HttpResponse(\"<script>to... | [
0,
1,
2,
3,
4
] |
from app.View.view import View
class GameController:
instance = None
@staticmethod
def get_instance():
if GameController.instance is None:
GameController()
return GameController.instance
def __init__(self):
if GameController.instance is not None:
raise... | normal | {
"blob_id": "d9b405d5159a153fb8d2f1991ceb3dc47f98bcbc",
"index": 9192,
"step-1": "<mask token>\n\n\nclass GameController:\n <mask token>\n\n @staticmethod\n def get_instance():\n if GameController.instance is None:\n GameController()\n return GameController.instance\n <mask t... | [
3,
4,
5,
6
] |
<|reserved_special_token_0|>
def upgrade():
op.drop_column('lis_result_sourcedid',
'tool_consumer_info_product_family_code')
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def upgrade():
op.drop_column('lis_result_sourcedid',
'tool_consumer_info_p... | flexible | {
"blob_id": "46d85a3babab4b18f4e0e0384f254f6105cf691d",
"index": 1490,
"step-1": "<mask token>\n\n\ndef upgrade():\n op.drop_column('lis_result_sourcedid',\n 'tool_consumer_info_product_family_code')\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef upgrade():\n op.drop_column('lis_result_sou... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
pr.enable()
<|reserved_special_token_0|>
for k in range(all_models[1,].size - 1):
colstr = str(0.75 - k / 2 / all_models[1,].size)
plt.plot(all_models[:, k], all_models[:, 0], '-', linewidth=1, color=colstr
)
ax1.i... | flexible | {
"blob_id": "cfe5d013c968afdbf1fc80e3c8c3233a3678450b",
"index": 9848,
"step-1": "<mask token>\n",
"step-2": "<mask token>\npr.enable()\n<mask token>\nfor k in range(all_models[1,].size - 1):\n colstr = str(0.75 - k / 2 / all_models[1,].size)\n plt.plot(all_models[:, k], all_models[:, 0], '-', linewidth=... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
sns.set(style='whitegrid', color_codes=True)
sns.set(font_scale=1)
<|reserved_special_token_0|>
wines.columns
wines.drop(columns='Unnamed: 0', inplace=True)
wines.dropna(axis='index', subset=['price'], inplace=True)
wines.drop_dup... | flexible | {
"blob_id": "79e8ed64058dda6c8d7bacc08727bc978088ad2d",
"index": 4963,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsns.set(style='whitegrid', color_codes=True)\nsns.set(font_scale=1)\n<mask token>\nwines.columns\nwines.drop(columns='Unnamed: 0', inplace=True)\nwines.dropna(axis='index', subset=['price... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def wifiConnect():
wlan = WLAN(mode=WLAN.STA)
pycom.heartbeat(False)
wlan.connect(ssid='telenet-4D87F74', auth=(WLAN.WPA2, 'x2UcakjTsryz'))
while not wlan.isconnected():
time.sleep(1)
print('WiFi ... | flexible | {
"blob_id": "099396a75060ad0388f5a852c4c3cb148febd8a3",
"index": 4048,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef wifiConnect():\n wlan = WLAN(mode=WLAN.STA)\n pycom.heartbeat(False)\n wlan.connect(ssid='telenet-4D87F74', auth=(WLAN.WPA2, 'x2UcakjTsryz'))\n while not wlan.isconnec... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
__all__ = ['loading']
<|reserved_special_token_0|>
<|reserved_special_token_1|>
__all__ = ['loading']
from . import loading
<|reserved_special_token_1|>
__all__ = ["loading"]
from . import loading
| flexible | {
"blob_id": "f633496f1a7cd562fd41d697a2e26831ceaef479",
"index": 8047,
"step-1": "<mask token>\n",
"step-2": "__all__ = ['loading']\n<mask token>\n",
"step-3": "__all__ = ['loading']\nfrom . import loading\n",
"step-4": "__all__ = [\"loading\"]\n\nfrom . import loading\n",
"step-5": null,
"step-ids": [... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def check_date():
global results
global date_post
current_datetime = datetime.datetime.now()
current_date = current_datetime.date()
if date_post is not None:
if date_post < current_date:
results = None
date_post = None
else:
... | flexible | {
"blob_id": "c4720eb5a42267970d3a98517dce7857c0ba8450",
"index": 8938,
"step-1": "<mask token>\n\n\ndef check_date():\n global results\n global date_post\n current_datetime = datetime.datetime.now()\n current_date = current_datetime.date()\n if date_post is not None:\n if date_post < curren... | [
4,
5,
6,
7,
9
] |
<|reserved_special_token_0|>
@app.route('/')
def index():
return render_template('index.html')
@app.route('/process', methods=['POST'])
def process():
if len(request.form['email']) < 1:
flash('Email cannot be blank!')
return redirect('/')
elif not EMAIL_REGEX.match(request.form['email'])... | flexible | {
"blob_id": "187cf160b520001b6fe3a8d343391de1c04b3acd",
"index": 1754,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef index():\n return render_template('index.html')\n\n\n@app.route('/process', methods=['POST'])\ndef process():\n if len(request.form['email']) < 1:\n flash('Email cannot be blank!'... | [
4,
5,
6,
7,
8
] |
<|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": "a3239bbe4f85c9f0e1bc845245f024c3feb64923",
"index": 7476,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('info', '000... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def readContinuous():
while True:
readBNO()
time.sleep(0.1)
<|reserved_special_token_0|>
def get_heading():
return compass_heading
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def readBNO():
global compass_he... | flexible | {
"blob_id": "63a7225abc511b239a69f625b12c1458c75b4090",
"index": 8904,
"step-1": "<mask token>\n\n\ndef readContinuous():\n while True:\n readBNO()\n time.sleep(0.1)\n\n\n<mask token>\n\n\ndef get_heading():\n return compass_heading\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef rea... | [
2,
3,
4,
5,
7
] |
<|reserved_special_token_0|>
class NumpyRecipe(CompiledComponentsPythonRecipe):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def build_compiled_components(self,... | flexible | {
"blob_id": "610610e7e49fc98927a4894efe62686e26e0cb83",
"index": 3502,
"step-1": "<mask token>\n\n\nclass NumpyRecipe(CompiledComponentsPythonRecipe):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def build_compiled_components(self, arch):\n ... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
def get_markdown_result(matches):
entry_fmt = '| {} | {} | {} |\n'
md_text = """# YARA - Scan results
| Rule Name | Function | Strings offsets |
|-----------|----------|-----------------|
"""
for m in matches:
rule = m['rule']
func = '-'
if 'funcs' in ... | flexible | {
"blob_id": "56d4532b633242f34f7a6ed86a35290836861f67",
"index": 4201,
"step-1": "<mask token>\n\n\ndef get_markdown_result(matches):\n entry_fmt = '| {} | {} | {} |\\n'\n md_text = \"\"\"# YARA - Scan results\n\n| Rule Name | Function | Strings offsets |\n|-----------|----------|-----------------|\n\"\"\"... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if __name__ == '__main__':
cases = sys.stdin.readline()
for i in range(int(cases)):
sys.stdin.readline()
lineas, columnas = sys.stdin.readline().strip().split(' ')
lineas = int(lineas)
colum... | flexible | {
"blob_id": "22909e41e4f9ad0280c22ec11ecfbccff87efae1",
"index": 1402,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n cases = sys.stdin.readline()\n for i in range(int(cases)):\n sys.stdin.readline()\n lineas, columnas = sys.stdin.readline().strip().split(... | [
0,
1,
2,
3
] |
import numpy as np
import tensorflow as tf
def mfcc(data):
pass
def cut_frames(data):
pass
| normal | {
"blob_id": "8411acf6b27425357d212f5e220314daa019e023",
"index": 9669,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef cut_frames(data):\n pass\n",
"step-3": "<mask token>\n\n\ndef mfcc(data):\n pass\n\n\ndef cut_frames(data):\n pass\n",
"step-4": "import numpy as np\nimport tensorflo... | [
0,
1,
2,
3
] |
from django.conf.urls import url
from basket import views
urlpatterns = [
url(r'^$', views.view_basket, name='basket'),
url(r'^add/(?P<product_pk>\d+)$', views.add_to_basket, name='add_to_basket'),
url(r'^remove/(?P<basketitem_pk>\d+)$', views.remove_from_basket, name='remove_from_basket'),
]
| normal | {
"blob_id": "19d5e9db142237d1cb2276ccaf083ca4a96109fc",
"index": 3670,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [url('^$', views.view_basket, name='basket'), url(\n '^add/(?P<product_pk>\\\\d+)$', views.add_to_basket, name='add_to_basket'\n ), url('^remove/(?P<basketitem_pk>\\\\... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@pytest.mark.asyncio
@pytest.mark.core
async def test_async_executor(executor):
def func():
pass
result = await executor.run(func)
assert result is None
def func():
return 1
result = await e... | flexible | {
"blob_id": "67b483d9d002cc66dd368cf53fdc49ebb7b4f4d4",
"index": 9556,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@pytest.mark.asyncio\n@pytest.mark.core\nasync def test_async_executor(executor):\n\n def func():\n pass\n result = await executor.run(func)\n assert result is None\n\... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def encode_video_file(src_filname, dst_filename, file_type):
logger.info('Source file: %s, Destination file: %s, File Type: %s',
src_filname, dst_filename, file_type)
try:
cmd = codecs[file_type]
except IndexError:
raise WrongVideoTypeError('Wrong video... | flexible | {
"blob_id": "163475bbe8a5b6eb161e2bb7e9b9a9a3ea0879d2",
"index": 8138,
"step-1": "<mask token>\n\n\ndef encode_video_file(src_filname, dst_filename, file_type):\n logger.info('Source file: %s, Destination file: %s, File Type: %s',\n src_filname, dst_filename, file_type)\n try:\n cmd = codecs[... | [
1,
2,
3,
4,
5
] |
# coding=UTF-8
from unittest import TestCase
from fwk.util.rect import Rect
class RectSizeTest(TestCase):
def test_sizes_from_coords(self):
rect = Rect(top=33,bottom=22,left=10,right=20)
self.assertEqual(rect.width,10)
self.assertEqual(rect.height,11)
def test_sizes_from_sizes(self):
rect = Rect(top=23,hei... | normal | {
"blob_id": "ff65e92699c6c9379ac40397b3318c3f6bf7d49a",
"index": 3720,
"step-1": "<mask token>\n\n\nclass RectInsetTest(TestCase):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass RectCloneAndMagic(TestCase):\n\n def test_clone_and_compare(self):\n rect1 = Rect(left=10... | [
4,
15,
19,
20,
23
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def fonkString(text, string):
if string in text:
print('TRUE')
print(text.index(string), '. sirada ilk', string, 'bulundu')
print(text.count(string), 'tane', string, 'var')
liste = []
... | flexible | {
"blob_id": "0d3cc85cd18ee197b24c8b01b71afe82110bfad2",
"index": 3487,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef fonkString(text, string):\n if string in text:\n print('TRUE')\n print(text.index(string), '. sirada ilk', string, 'bulundu')\n print(text.count(string), '... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
mdfile.write('# Tables with references\n')
for i, row in df.iterrows():
t = '\n```\n{% raw %}\n' + str(row['table']) + '\n{% endraw %}\n```\n'
r = '\n```\n{% raw %}\n' + str(row['refs']) + '\n{% endraw %}\n```\n'
mdfil... | flexible | {
"blob_id": "8de6877f040a7234da73b55c8b7fdefe20bc0d6e",
"index": 9538,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nmdfile.write('# Tables with references\\n')\nfor i, row in df.iterrows():\n t = '\\n```\\n{% raw %}\\n' + str(row['table']) + '\\n{% endraw %}\\n```\\n'\n r = '\\n```\\n{% raw %}\\n... | [
0,
1,
2,
3
] |
from typing import List
from pydantic import BaseModel
class BinBase(BaseModel):
name: str = None
title: str = None
class BinCreate(BinBase):
owner_id: int
password: str
class Bin(BinBase):
id: int
# TODO: token?
class Config():
orm_mode = True
class UserBase(BaseModel):
... | normal | {
"blob_id": "1c0f194bbdc6f7e3e4feb114e521aa958f11e83e",
"index": 3263,
"step-1": "<mask token>\n\n\nclass UserCreate(UserBase):\n password: str\n\n\nclass User(UserBase):\n id: int\n\n\n class Config:\n orm_mode = True\n",
"step-2": "<mask token>\n\n\nclass BinCreate(BinBase):\n owner_id: in... | [
2,
5,
6,
7,
8
] |
class person(object):
<|reserved_special_token_0|>
def __init__(self, name, age):
self.name = name
self.age = age
@classmethod
def getpopulation(cls):
return cls.population
@staticmethod
def isadult(age=17):
return age >= 18
def display(self):
prin... | flexible | {
"blob_id": "a21942a835f7b2ea70e9dd7b26285ea2dd411750",
"index": 1205,
"step-1": "class person(object):\n <mask token>\n\n def __init__(self, name, age):\n self.name = name\n self.age = age\n\n @classmethod\n def getpopulation(cls):\n return cls.population\n\n @staticmethod\n ... | [
5,
6,
7,
8
] |
<|reserved_special_token_0|>
class AnyDevice(gatt.Device):
<|reserved_special_token_0|>
def connect_failed(self, error):
super().connect_failed(error)
print('[%s] Connection failed: %s' % (self.mac_address, str(error)))
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class... | flexible | {
"blob_id": "480e636cfe28f2509d8ecf1e6e89924e994f100d",
"index": 4888,
"step-1": "<mask token>\n\n\nclass AnyDevice(gatt.Device):\n <mask token>\n\n def connect_failed(self, error):\n super().connect_failed(error)\n print('[%s] Connection failed: %s' % (self.mac_address, str(error)))\n <ma... | [
5,
7,
9,
11,
12
] |
from django.contrib.auth.models import User
from rt.models import Movie_Suggestion, MovieDB, ActorDB, TVDB
def user_present(username):
if User.objects.filter(username=username).count():
return True
return False
#Takes in a list of MovieDB/TVDB objects
#Outputs a list of sorted titles
def sort_title(movies):
ti... | normal | {
"blob_id": "1e84b28580b97e77394be0490f3d8db3d62a2ccb",
"index": 1213,
"step-1": "<mask token>\n\n\ndef sort_id(movies, titles):\n ids = []\n for i in titles:\n try:\n movie_id = MovieDB.objects.get(title=i).id\n ids.append((i, movie_id))\n except MovieDB.DoesNotExist:\n... | [
3,
5,
6,
7,
8
] |
# Generated by Django 4.1.9 on 2023-06-29 16:11
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("search", "0003_auto_20230209_1441"),
]
operations = [
migrations.CreateModel(
name="SearchSettings",
fields=[
... | normal | {
"blob_id": "45969b346d6d5cbdef2f5d2f74270cf12024072d",
"index": 3,
"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 = [('search', '0003... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class CitizenSpider(scrapy.Spider):
<|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 CitizenSpider(scrap... | flexible | {
"blob_id": "d307c3479e34a12971f62a765aca2ba0850d80d1",
"index": 5660,
"step-1": "<mask token>\n\n\nclass CitizenSpider(scrapy.Spider):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass CitizenSpider(scrapy.Spider):\n <mask token... | [
1,
3,
4,
5,
6
] |
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