code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
import visgraph.dbcore as vg_dbcore
dbinfo = {
'user':'visgraph',
'password':'ohhai!',
'database':'vg_test',
}
def vgtest_basic_database():
#vg_dbcore.initGraphDb(dbinfo)
gstore = vg_dbcore.DbGraphStore(dbinfo)
n1 = gstore.addNode(ninfo={'name':'foo', 'size':20})
n2 = gstore.addNode(ninfo={'name':'bar',... | normal | {
"blob_id": "ffee0b0e00b4cebecefc3671332af3e2ffe7491b",
"index": 8155,
"step-1": "import visgraph.dbcore as vg_dbcore\n\ndbinfo = {\n'user':'visgraph',\n'password':'ohhai!',\n'database':'vg_test',\n}\n\ndef vgtest_basic_database():\n#vg_dbcore.initGraphDb(dbinfo)\n\n gstore = vg_dbcore.DbGraphStore(dbinfo)\n\... | [
0
] |
'''
Created on Jan 19, 2014
@author: felix
'''
import sys
from PyPDF2 import PdfFileReader
from pytagcloud import create_tag_image, make_tags, LAYOUT_HORIZONTAL
from pytagcloud.lang.counter import get_tag_counts
def main():
for i in range(0, len(sys.argv)):
if (sys.argv[i] == '-f'):
try:
... | normal | {
"blob_id": "899cdb5cbdbd0a57af76a5044d54e1fe2a497847",
"index": 7144,
"step-1": "'''\nCreated on Jan 19, 2014\n\n@author: felix\n'''\nimport sys\nfrom PyPDF2 import PdfFileReader\nfrom pytagcloud import create_tag_image, make_tags, LAYOUT_HORIZONTAL\nfrom pytagcloud.lang.counter import get_tag_counts\n\ndef mai... | [
0
] |
#!/usr/bin/env python
##############
#### Your name: Alexis Vincent
##############
import numpy as np
import re
from skimage.color import convert_colorspace
from sklearn.model_selection import GridSearchCV
from sklearn import svm, metrics
from skimage import io, feature, filters, exposu... | normal | {
"blob_id": "58204b4b035aa06015def7529852e882ffdd369a",
"index": 8997,
"step-1": "<mask token>\n\n\nclass ImageClassifier:\n <mask token>\n <mask token>\n <mask token>\n\n def extract_image_features(self, data):\n fd = None\n for pic in data:\n rescaled_picture = exposure.res... | [
5,
7,
9,
10,
12
] |
import os
import sys
import shutil
import re
dl_dir = '/home/acarnec/Downloads/'
college_dir = '/home/acarnec/Documents/3rdYear'
latex_dir = '/home/acarnec/Documents/Latex/'
modules = ['mta', 'ana', 'met', 'log', 'mat',
'lin', 'min', 'pol', 'mic', 'mte']
michaelmas = ['mta', 'ana', 'met', 'log', 'mat']... | normal | {
"blob_id": "3989b4c2a15fa8cd54fef86f9d7150fbd0fb74cf",
"index": 8724,
"step-1": "<mask token>\n\n\ndef change_directory(path):\n \"\"\" \n Changes directory to path. \n \"\"\"\n os.chdir(path)\n\n\n<mask token>\n\n\ndef get_key_from_values(f, catalog):\n \"\"\"\n Gets the full associated with ... | [
6,
9,
13,
15,
16
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class LuckDrawActivity(Base):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class LuckDrawActivity(Base):
@allure.step('参加抽奖活动')
def join_luck_draw_activity(self, driver... | flexible | {
"blob_id": "6b1970ee2b0d24504f4dea1f2ad22a165101bfbe",
"index": 8958,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass LuckDrawActivity(Base):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass LuckDrawActivity(Base):\n\n @allure.step('参加抽奖活动')\n def join_luck_draw_activity(self, d... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Install and activate pre-commit and its hooks into virtual environment."""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import os
import sys
# if sys.version_info[0] > 2 or sys.version_info[1] < 7:
# p... | normal | {
"blob_id": "210d1a184d338d77d4c41327d0a9e2a5a56eb2ae",
"index": 2724,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n VENV = os.environ[VENV_NAME]\n if VENV == '':\n print(\"Environment variable '%s' is empty\" % VENV_NAME)\n print('Please activate your virtualenv first')\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
fresh_tomatoes.open_movies_page(movies)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
alien_covenant = media.Movie('Alien: Covenant',
'The crew of a colony ship, bound for a remote planet, discover an uncharted ... | flexible | {
"blob_id": "9dfc8414628a8b09de3c24c504dd4163efdd3d35",
"index": 6010,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfresh_tomatoes.open_movies_page(movies)\n",
"step-3": "<mask token>\nalien_covenant = media.Movie('Alien: Covenant',\n 'The crew of a colony ship, bound for a remote planet, discover... | [
0,
1,
2,
3,
4
] |
# Set up path references and dependencies.
import os, sys, inspect
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(currentdir)
sys.path.insert(0, parentdir)
sys.path.append(os.path.join(parentdir, "utils"))
# Import important helper libraries.
from fla... | normal | {
"blob_id": "7d099012584b84e9767bf0ce9d9df1596ca3bbab",
"index": 542,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef index():\n result_plot = compute_model_output()\n return render_template('index.html', graphJSON=result_plot)\n\n\ndef compute_model_output():\n num_steps = 500\n init_inf = 5\n ... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
def truncateFile(fileName):
fileTemp = open(fileName, 'w')
fileTemp.truncate()
fileTemp.close()
def getConnBySecName(dbConf, secName):
descSec = ''
secs = dbConf.sections()
for sec in secs:
if sec == secName:
descSec = sec
conn = getConnOn... | flexible | {
"blob_id": "df984939c109662bebbd1556c12223fce8f643e6",
"index": 1773,
"step-1": "<mask token>\n\n\ndef truncateFile(fileName):\n fileTemp = open(fileName, 'w')\n fileTemp.truncate()\n fileTemp.close()\n\n\ndef getConnBySecName(dbConf, secName):\n descSec = ''\n secs = dbConf.sections()\n for s... | [
3,
4,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(res.read().decode('utf-8'))
<|reserved_special_token_1|>
<|reserved_special_token_0|>
context = ssl._create_unverified_context()
url = (
'https://oauth.51job.com/get_login.php?client_id=000001&redirect_uri=https%3A%2F... | flexible | {
"blob_id": "2a37d02c7a0840e855a80adced4794fd757e353a",
"index": 2917,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(res.read().decode('utf-8'))\n",
"step-3": "<mask token>\ncontext = ssl._create_unverified_context()\nurl = (\n 'https://oauth.51job.com/get_login.php?client_id=000001&redirect_... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
'''
quarter = 0.25
dime = 0.10
nickel = 0.05
penny = 0.01
'''
#def poschg(dollar_amount,number):
| flexible | {
"blob_id": "0deec9058c6f7b77ba4fa3bfc0269c8596ce9612",
"index": 1215,
"step-1": "<mask token>\n",
"step-2": "'''\nquarter = 0.25\ndime = 0.10\nnickel = 0.05\npenny = 0.01\n'''\n\n#def poschg(dollar_amount,number):\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
"""
Solution to Codeforces problem 50A
Copyright (c) GeneralMing. All rights reserved.
https://github.com/GeneralMing/codeforces
"""
n = input().split()
n[0] = int(n[0])
n[1] = int(n[1])
print((n[0]*n[1])//2) | normal | {
"blob_id": "41a80feeb1fdc8ad783706ad261f5fc1124371d6",
"index": 8216,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(n[0] * n[1] // 2)\n",
"step-3": "<mask token>\nn = input().split()\nn[0] = int(n[0])\nn[1] = int(n[1])\nprint(n[0] * n[1] // 2)\n",
"step-4": "\"\"\"\n\tSolution to Codeforces p... | [
0,
1,
2,
3
] |
#Array In Python
from array import array
numbers = array("i",[1,2,3])
numbers[0] = 0
print(list(numbers))
| normal | {
"blob_id": "ae5f87f1c383478ea5f370af1c85d63a472a7788",
"index": 455,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(list(numbers))\n",
"step-3": "<mask token>\nnumbers = array('i', [1, 2, 3])\nnumbers[0] = 0\nprint(list(numbers))\n",
"step-4": "from array import array\nnumbers = array('i', [1,... | [
0,
1,
2,
3,
4
] |
import json
subjects = []
with open("sub.json", 'r') as subject_file:
subjects = json.load(subject_file)
print(json.dumps(subjects, separators=(',',':')))
| normal | {
"blob_id": "98bd4eb25a76fb9184f9abfcb920a6fbe46b9394",
"index": 631,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('sub.json', 'r') as subject_file:\n subjects = json.load(subject_file)\nprint(json.dumps(subjects, separators=(',', ':')))\n",
"step-3": "<mask token>\nsubjects = []\nwith o... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
from .kahfm_batch import KaHFMBatch
| flexible | {
"blob_id": "8e317d4d8ae8dc3d692d237e7e0abfaf37aecbb6",
"index": 7017,
"step-1": "<mask token>\n",
"step-2": "from .kahfm_batch import KaHFMBatch\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
<|reserved_special_token_0|>
def test_createColorVector():
k = 2
no_sec_peak = 1
template = 'EEESSSIIISSSBBBSSSHHHSSSSSSIIISSSEEE'
kmer_counts = {'EE': 5, 'ES': 7, 'SS': 20, 'SI': 10, 'II': 15, 'IS': 11,
'SB': 5, 'BB': 6, 'BS': 5, 'SH': 4, 'HH': 5, 'HS': 4, 'SE': 7}
template_sTree = STree.... | flexible | {
"blob_id": "60b1a77d2de4a52ae9597f88917c4a3996c99923",
"index": 5626,
"step-1": "<mask token>\n\n\ndef test_createColorVector():\n k = 2\n no_sec_peak = 1\n template = 'EEESSSIIISSSBBBSSSHHHSSSSSSIIISSSEEE'\n kmer_counts = {'EE': 5, 'ES': 7, 'SS': 20, 'SI': 10, 'II': 15, 'IS': 11,\n 'SB': 5, ... | [
1,
3,
4,
5,
6
] |
# Generated by Django 2.2.6 on 2020-05-21 09:44
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('DHOPD', '0015_auto_20200515_0126'),
]
operations = [
migrations.CreateModel(
name='Patient_c',
field... | normal | {
"blob_id": "52da8608e43b2d8dfe00f0956a1187fcf2e7b1ff",
"index": 41,
"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 = [('DHOPD', '0015... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class DepositForm(base.DepositForm):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
@classmethod
def is_automatic(cls, instance):... | flexible | {
"blob_id": "15c1db535beb115c45aeba433a946255f70fa86e",
"index": 7845,
"step-1": "<mask token>\n\n\nclass DepositForm(base.DepositForm):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n @classmethod\n def is_automatic(cls, instance):\n r... | [
9,
10,
11,
13,
17
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
with urlopen('http://api.nbp.pl/api/exchangerates/tables/A/') as site:
data = loads(site.read().decode('utf-8'))
rates = data[0]['rates']
exchange = input('Jaką wartość chcesz wymienić na złotówki? ')
value, code =... | flexible | {
"blob_id": "3f3d7cdf7732b2a1568cd97574e1443225667327",
"index": 9622,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith urlopen('http://api.nbp.pl/api/exchangerates/tables/A/') as site:\n data = loads(site.read().decode('utf-8'))\n rates = data[0]['rates']\n exchange = input('Jaką wartość chc... | [
0,
1,
2,
3
] |
from django.contrib import admin
from .models import Hash
admin.site.register(Hash)
| normal | {
"blob_id": "e2e4adaa8f7f62662e0c2915faff1bed72986351",
"index": 1084,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nadmin.site.register(Hash)\n",
"step-3": "from django.contrib import admin\nfrom .models import Hash\nadmin.site.register(Hash)\n",
"step-4": null,
"step-5": null,
"step-ids": [
... | [
0,
1,
2
] |
import heapq as heap
import networkx as nx
import copy
import random
def remove_jumps(moves):
res = []
for move in moves:
if move[2] > 1:
move[3].reverse()
res.extend(make_moves_from_path(move[3]))
else:
res.append(move)
return res
def make_moves_from... | normal | {
"blob_id": "800edfc61635564abf8297c4f33c59d48cc99960",
"index": 4058,
"step-1": "<mask token>\n\n\ndef make_moves_from_path(path):\n moves = []\n p = path[:]\n for i in range(len(p) - 1):\n moves.append((p[i + 1], p[i], 1, [p[i + 1], p[i]]))\n return moves\n\n\ndef find_nearest_hole(o, r, gra... | [
7,
11,
12,
16,
19
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for obj_file in OBJ_FILES:
cond_results[obj_file] = set()
dump = subprocess.run(['objdump', '-M', 'intel', '-dr', PREFIX +
obj_file], stdout=subprocess.PIPE, check=True).stdout
for line in dump.decode('utf-8').... | flexible | {
"blob_id": "45d69194e14e8c20161e979d4ff34d0b90df4672",
"index": 4750,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor obj_file in OBJ_FILES:\n cond_results[obj_file] = set()\n dump = subprocess.run(['objdump', '-M', 'intel', '-dr', PREFIX +\n obj_file], stdout=subprocess.PIPE, check=True... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
def longestConsecutive(self, nums) ->int:
s = set(nums)
answer = 0
for value in s:
if value - 1 not in s:
... | flexible | {
"blob_id": "9cb5573fada7a1529507da1d031f836044c10066",
"index": 2474,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n",
"step-3": "class Solution:\n\n def longestConsecutive(self, nums) ->int:\n s = set(nums)\n answer = 0\n for value in s:\n if v... | [
0,
1,
2,
3
] |
################################################################################
# #
# This file is part of the Potato Engine (PE). #
# ... | normal | {
"blob_id": "595912753d778a0fa8332f0df00e06a9da5cde93",
"index": 447,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nSetOption('num_jobs', 4)\nSetOption('implicit_cache', 1)\n<mask token>\nbuildVariables.Add(PathVariable('QTDIR', 'Qt4 root directory',\n '/usr/share/qt4', PathVariable.PathIsDir))\nbuil... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def send_archs_from_queue_to_main_dataset(context):
background_queue_qs = Design.objects.filter(activecontext_id__exact=
context.eosscontext.activecontext.id)
arch_list = []
for design in background_queue_qs.... | flexible | {
"blob_id": "564c613491b0d1797b216a0bd425690e9fae12bc",
"index": 7725,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef send_archs_from_queue_to_main_dataset(context):\n background_queue_qs = Design.objects.filter(activecontext_id__exact=\n context.eosscontext.activecontext.id)\n arch_... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for episode in range(EPISODE_COUNT):
obs = env.reset()
agent.reset()
steps = 0
if (episode + 1) % 100 == 0:
state = {'model_state': agent.model.state_dict(), 'optim_state':
agent.optim.state_dic... | flexible | {
"blob_id": "bf133e73f0c842603dbd7cc3a103a2aa95e2236e",
"index": 4359,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor episode in range(EPISODE_COUNT):\n obs = env.reset()\n agent.reset()\n steps = 0\n if (episode + 1) % 100 == 0:\n state = {'model_state': agent.model.state_dict(), ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for n in range(len(user_input)):
explosion_strength = 0
if user_input[n] == '>':
explosion_strength += int(user_input[n + 1])
if user_input[n + explosion_strength] != '>':
exploded_str = user_in... | flexible | {
"blob_id": "7930bb813bd546747c7c65b661900939f5ba93f1",
"index": 273,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor n in range(len(user_input)):\n explosion_strength = 0\n if user_input[n] == '>':\n explosion_strength += int(user_input[n + 1])\n if user_input[n + explosion_streng... | [
0,
1,
2,
3
] |
"""asks the user for english words to latinize"""
def latinize_word(word):
"""performs bee latin on a word"""
if word[0].lower() in 'bcdfghjklmnpqrstvwxyz':
word = word[1:] + word[0] + 'uzz'
else:
word += 'buzz'
return word.lower()
def latinize_sentence(sentence):
"""performs bee... | normal | {
"blob_id": "5810739300067e8f207d09bf971484a278372a9a",
"index": 5246,
"step-1": "<mask token>\n\n\ndef latinize_word(word):\n \"\"\"performs bee latin on a word\"\"\"\n if word[0].lower() in 'bcdfghjklmnpqrstvwxyz':\n word = word[1:] + word[0] + 'uzz'\n else:\n word += 'buzz'\n return ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print('Your name is ' + name + ', you are ' + age +
' years old, and your username is ' + reddit)
<|reserved_special_token_1|>
name = input('What is your name? ')
age = input('How old are you? ')
reddit = input('What is you... | flexible | {
"blob_id": "00531c5a7fdcd24204b0546c081bbe7d63d0a6b2",
"index": 1520,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('Your name is ' + name + ', you are ' + age +\n ' years old, and your username is ' + reddit)\n",
"step-3": "name = input('What is your name? ')\nage = input('How old are you? ... | [
0,
1,
2,
3
] |
import socket
import RPi.GPIO as GPIO
import time
GPIO.setmode(GPIO.BCM)
GPIO.setup(20,GPIO.OUT,initial=GPIO.LOW) #green
GPIO.setup(21,GPIO.OUT,initial=GPIO.LOW) #red
GPIO.setwarnings(False)
host = '192.168.87.191'
port = 5560
def setupServer():
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
print("Soc... | normal | {
"blob_id": "78efe97d838774cb831ef205186db29f392e1953",
"index": 1584,
"step-1": "<mask token>\n\n\ndef RED(t):\n GPIO.output(21, 1)\n time.sleep(1)\n GPIO.output(21, 0)\n\n\n<mask token>\n\n\ndef dataTransfer(conn):\n while True:\n data = conn.recv(1024)\n data = data.decode('utf-8')\n... | [
2,
4,
7,
9,
10
] |
def check22(y, x, board):
dirs = [[0, 1], [1, 0], [1, 1]]
ret = [(y, x)]
for d in dirs:
dy, dx = y + d[0], x + d[1]
if not (0 <= dy < len(board) and 0 <= dx < len(board[0]) and board[
dy][dx] != '0' and board[y][x] == board[dy][dx]):
return False
else:
... | flexible | {
"blob_id": "938c4325480608b904bfbe0b11c081166aad694b",
"index": 7291,
"step-1": "def check22(y, x, board):\n dirs = [[0, 1], [1, 0], [1, 1]]\n ret = [(y, x)]\n for d in dirs:\n dy, dx = y + d[0], x + d[1]\n if not (0 <= dy < len(board) and 0 <= dx < len(board[0]) and board[\n d... | [
1,
2,
3,
4,
5
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2019/8/15 下午5:04
# @Author : Zessay
from .ffm import *
from .fm import *
from .utils import *
from .base_model import *
from .base_trainer import *
from .logger import *
from .metric import *
from .input_fn import * | normal | {
"blob_id": "bbdb07a81d785bdf067707c4e56622a2ada76b7b",
"index": 1692,
"step-1": "<mask token>\n",
"step-2": "from .ffm import *\nfrom .fm import *\nfrom .utils import *\nfrom .base_model import *\nfrom .base_trainer import *\nfrom .logger import *\nfrom .metric import *\nfrom .input_fn import *\n",
"step-3"... | [
0,
1,
2
] |
<|reserved_special_token_0|>
def evaluate_comparison_range(node):
""" evaluate the numerical range of Comparison node, if any
else returns None """
return None
def is_comparison(node):
""" test if node is a Comparison node or not """
return isinstance(node, Comparison)
<|reserved_special_t... | flexible | {
"blob_id": "3a05ebee8e70321fe53637b4792f5821ce7044be",
"index": 4264,
"step-1": "<mask token>\n\n\ndef evaluate_comparison_range(node):\n \"\"\" evaluate the numerical range of Comparison node, if any\n else returns None \"\"\"\n return None\n\n\ndef is_comparison(node):\n \"\"\" test if node is... | [
14,
15,
16,
17,
18
] |
# terrascript/external/__init__.py
import terrascript
class external(terrascript.Provider):
pass | normal | {
"blob_id": "04e57739e6fb98cd237fbe09caecd17c728c1797",
"index": 5548,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass external(terrascript.Provider):\n pass\n",
"step-3": "import terrascript\n\n\nclass external(terrascript.Provider):\n pass\n",
"step-4": "# terrascript/external/__init... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@pytest.mark.parametrize(('server_type', 'expected_type'), DB_TYPES + [
param('GEOMETRY', dt.geometry, marks=[skipif_no_geospatial_deps]),
param('GEOGRAPHY', dt.geography, marks=[skipif_no_geospatial_deps])] +
[param... | flexible | {
"blob_id": "00e9872136e5753364117adbf60793e660c8bef0",
"index": 485,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@pytest.mark.parametrize(('server_type', 'expected_type'), DB_TYPES + [\n param('GEOMETRY', dt.geometry, marks=[skipif_no_geospatial_deps]),\n param('GEOGRAPHY', dt.geography, ma... | [
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_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.... | flexible | {
"blob_id": "957db647500433fd73723fdeb3933037ba0641b1",
"index": 1527,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n initial = T... | [
0,
1,
2,
3,
4
] |
# Imports
import numpy as np
from ctf.functions2d.function2d import Function2D
# Problem
class StyblinskiTang(Function2D):
""" Styblinski-Tang Function. """
def __init__(self):
""" Constructor. """
# Information
self.min = np.array([-2.903534, -2.903534])
self.value = -39.16... | normal | {
"blob_id": "5d8715dd02feff4e13919858051abeb5b6828011",
"index": 6798,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass StyblinskiTang(Function2D):\n <mask token>\n <mask token>\n <mask token>\n\n def grad(self, x):\n \"\"\" Grad function. \"\"\"\n g = np.zeros(x.shape)\... | [
0,
3,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if 0 < cal < 2400:
print('Tuesday')
elif cal < 0:
print('Monday')
else:
print('Wednesday')
<|reserved_special_token_1|>
offset = input()
cal = 1030 + int(offset) * 100
if 0 < cal < 2400:
print('Tuesday')
elif ca... | flexible | {
"blob_id": "aefb49410e077180a660d17c4c646265a75969a7",
"index": 7509,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif 0 < cal < 2400:\n print('Tuesday')\nelif cal < 0:\n print('Monday')\nelse:\n print('Wednesday')\n",
"step-3": "offset = input()\ncal = 1030 + int(offset) * 100\nif 0 < cal <... | [
0,
1,
2
] |
<|reserved_special_token_0|>
@login_manager.user_loader
def load_user(id):
user = Student.query.get(int(id))
if user is not None:
return user
else:
return Instructor.query.get(int(id))
<|reserved_special_token_0|>
@app.route(base_url + 'instructorProfile', methods=['GET'])
def instruct... | flexible | {
"blob_id": "5dc17db0aca109720d1ba62d65b86d9b81714063",
"index": 6622,
"step-1": "<mask token>\n\n\n@login_manager.user_loader\ndef load_user(id):\n user = Student.query.get(int(id))\n if user is not None:\n return user\n else:\n return Instructor.query.get(int(id))\n\n\n<mask token>\n\n\n... | [
9,
10,
13,
17,
18
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
with open('movies.csv', 'w') as file:
csv_writer = writer(file)
csv_writer.writerow(['Name', 'Year'])
csv_writer.writerow(['Ratchasan', 2018])
csv_writer.writerow(['Vadachennai', 2018])
csv_writer.writerow(['Na... | flexible | {
"blob_id": "83e231480c618d290089340c642313bbba4f1070",
"index": 2035,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('movies.csv', 'w') as file:\n csv_writer = writer(file)\n csv_writer.writerow(['Name', 'Year'])\n csv_writer.writerow(['Ratchasan', 2018])\n csv_writer.writerow(['Va... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if mibBuilder.loadTexts:
ds0Bundle.setOrganization('IETF Trunk MIB Working Group')
if mibBuilder.loadTexts:
ds0Bundle.setContactInfo(
""" David Fowler
Postal: Newbridge Networks Corporation
600 Marc... | flexible | {
"blob_id": "fab15d34d29301e53a26577725cdd66dca7507bc",
"index": 2330,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif mibBuilder.loadTexts:\n ds0Bundle.setOrganization('IETF Trunk MIB Working Group')\nif mibBuilder.loadTexts:\n ds0Bundle.setContactInfo(\n \"\"\" David Fowler\n\nPos... | [
0,
1,
2,
3
] |
from tkinter import *
from PIL import ImageTk,Image
import sys, os
# This will display images and icon
root = Tk()
root.title("Expanding GUI")
# With ubuntu, it did not work the icon part
#root.iconbitmap('@/home/gxgarciat/Documents/Tkinter/gdrive.ico')
#root.iconphoto(True, PhotoImage(file="@/home/gxgarciat/Docume... | normal | {
"blob_id": "2da10163a40c9720ca9deecd9afb0e39aa885546",
"index": 5523,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nroot.title('Expanding GUI')\n<mask token>\nmy_label.pack()\n<mask token>\nbuttonquit.pack()\nroot.mainloop()\n",
"step-3": "<mask token>\nroot = Tk()\nroot.title('Expanding GUI')\nmy_im... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def apply_timezone_datetime(_local_tz: str, _time: datetime.time):
"""
set time zone + merge now().date() with time()
:param _local_tz:
:param _time:
:return:
"""
return pytz.timezone(_local_tz).local... | flexible | {
"blob_id": "347627df4b08eca6e2137161472b4d31534cf81b",
"index": 1238,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef apply_timezone_datetime(_local_tz: str, _time: datetime.time):\n \"\"\"\n set time zone + merge now().date() with time()\n :param _local_tz:\n :param _time:\n :retu... | [
0,
1,
2
] |
# Standard Library Imports
# Third Party Imports
from kivy.clock import Clock
from kivy.properties import StringProperty
from kivy.uix.screenmanager import Screen, ScreenManager
from kivy.uix.widget import Widget
# Local Imports
from client.source.ui.kv_widgets import ModalPopupButton, SubmissionPopup, FailedSubmissi... | normal | {
"blob_id": "327e9dcba49419b8a8c320940e333765c1d9b980",
"index": 5997,
"step-1": "<mask token>\n\n\nclass ChatRoomScreen(Screen):\n <mask token>\n <mask token>\n <mask token>\n\n def schedule_update_display_info(self, *args):\n Clock.schedule_interval(self.update_display_info, 1)\n <mask to... | [
7,
12,
17,
20,
22
] |
<|reserved_special_token_0|>
def convertImage(imgData):
getI420FromBase64(imgData)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
sys.path.append(os.path.abspath('./models'))
<|reserved_special_token_0|>
def getI420FromBase64(codec):
base64_data = re.sub('^data:i... | flexible | {
"blob_id": "b84b3206e87176feee2c39fc0866ada994c9ac7a",
"index": 8655,
"step-1": "<mask token>\n\n\ndef convertImage(imgData):\n getI420FromBase64(imgData)\n\n\n<mask token>\n",
"step-2": "<mask token>\nsys.path.append(os.path.abspath('./models'))\n<mask token>\n\n\ndef getI420FromBase64(codec):\n base64... | [
1,
5,
6,
7,
8
] |
#!/usr/bin/python3
import tkinter
from PIL import Image, ImageTk
import requests
from io import BytesIO
from threading import Timer
rootWindow = tkinter.Tk()
# the following makes the program full-screen
RWidth = rootWindow.winfo_screenwidth()
RHeight = rootWindow.winfo_screenheight()
#
rootWindow.overrideredirect(... | normal | {
"blob_id": "be63e8e6e98c9afed66cae033a7f41f1be1561a8",
"index": 8077,
"step-1": "<mask token>\n\n\ndef refreshCam03():\n try:\n tmp_photo = URL2PhotoImage(cameraURL03)\n image03_label.configure(image=tmp_photo)\n image03_label.image = tmp_photo\n except:\n pass\n if rootWind... | [
3,
10,
11,
14,
16
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
gerar_senha()
<|reserved_special_token_1|>
from gerador_senha import gerar_senha
gerar_senha()
| flexible | {
"blob_id": "e81da535408cc36655328b37ca99b4f775f3a78e",
"index": 8435,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ngerar_senha()\n",
"step-3": "from gerador_senha import gerar_senha\ngerar_senha()\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
#!/usr/bin/env python
import os
import shutil
import glob
import re
import subprocess
list = glob.glob("*en.mrc")
for en in list:
ef = re.sub("en","ef",en)
efAli = re.sub("en","efAli",en)
cmd='proc2d %s %s_filt.mrc apix=1.501 lp=20' %(ef,ef[:-4])
subprocess.Popen(cmd,shell=True).wait()
cmd="alignhuge %s_fil... | normal | {
"blob_id": "e5cc556d4258ef5c85f7bc5149cdd33471493bdb",
"index": 1972,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor en in list:\n ef = re.sub('en', 'ef', en)\n efAli = re.sub('en', 'efAli', en)\n cmd = 'proc2d %s %s_filt.mrc apix=1.501 lp=20' % (ef, ef[:-4])\n subprocess.Popen(cmd, shel... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def append_log(log, message):
f = open(log, 'a+')
today = datetime.now()
f.write('%s %s \n' % (today.strftime('%Y-%m-%d %H:%M:%S'), message))
f.close()
def get_root_pass():
with open('/root/.my.cnf') as fp:
lines = fp.read().splitlines()
for line in lines... | flexible | {
"blob_id": "e09af436f2fb37d16427aa0b1416d6f2d59ad6c4",
"index": 214,
"step-1": "<mask token>\n\n\ndef append_log(log, message):\n f = open(log, 'a+')\n today = datetime.now()\n f.write('%s %s \\n' % (today.strftime('%Y-%m-%d %H:%M:%S'), message))\n f.close()\n\n\ndef get_root_pass():\n with open(... | [
10,
11,
13,
14,
15
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(response.geturl())
<|reserved_special_token_0|>
with open('bgdGW.html', 'w', encoding='utf-8') as fp:
fp.write(html)
print(response.geturl())
<|reserved_special_token_1|>
<|reserved_special_token_0|>
response = urllib... | flexible | {
"blob_id": "b186ae7a48afbb70edf3be0d9697deed4f31e542",
"index": 2258,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(response.geturl())\n<mask token>\nwith open('bgdGW.html', 'w', encoding='utf-8') as fp:\n fp.write(html)\nprint(response.geturl())\n",
"step-3": "<mask token>\nresponse = urlli... | [
0,
1,
2,
3,
4
] |
import collections
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def isSymmetric(self, root: TreeNode) -> bool:
if not root:
return True
... | normal | {
"blob_id": "24a4b9246a9b15334bebc45c532a25bd81266918",
"index": 9650,
"step-1": "<mask token>\n\n\nclass Solution:\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass TreeNode:\n <mask token>\n\n\nclass Solution:\n\n def isSymmetric(self, root: TreeNode) ->bool:\n if not root:\n r... | [
1,
3,
4,
5,
6
] |
from django.core.urlresolvers import reverse
from keptar import settings
import os, os.path
import Image
try:
from collections import OrderedDict
except ImportError:
from keptar.odict import OrderedDict
class AccessDenied(Exception):
pass
class FileNotFound(Exception):
pass
class NotDirectory(Excepti... | normal | {
"blob_id": "d9156c20e046f608563bc6779575e14cc60f4c25",
"index": 896,
"step-1": "<mask token>\n\n\nclass AccessDenied(Exception):\n pass\n\n\nclass FileNotFound(Exception):\n pass\n\n\nclass NotDirectory(Exception):\n pass\n\n\n<mask token>\n\n\ndef get_parent(path):\n \"\"\"A megadott elem szulokony... | [
5,
6,
10,
11,
12
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print('------rectangle-------')
<|reserved_special_token_0|>
print('area of rectangle : ', RectArea(1, b))
print('perimeter of rectangle : ', Rectperimeter(1, b))
print()
print('-------circle-------')
<|reserved_special_token_0|>
... | flexible | {
"blob_id": "f275085a2e4e3efc8eb841b5322d9d71f2e43846",
"index": 7998,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('------rectangle-------')\n<mask token>\nprint('area of rectangle : ', RectArea(1, b))\nprint('perimeter of rectangle : ', Rectperimeter(1, b))\nprint()\nprint('-------circle-------... | [
0,
1,
2,
3,
4
] |
import uuid
import json
import pytest
import requests
import httpx
from spinta.testing.manifest import bootstrap_manifest
from spinta.utils.data import take
from spinta.testing.utils import error
from spinta.testing.utils import get_error_codes, RowIds
from spinta.testing.context import create_test_context
from spint... | normal | {
"blob_id": "57e9c1a4ac57f68e0e73c2c67c6828de8efb1b16",
"index": 3903,
"step-1": "<mask token>\n\n\ndef _push_test_data(app, model, data=None):\n app.authmodel(model, ['insert'])\n resp = app.post('/', json={'_data': [{**res, '_op': 'insert', '_type':\n model} for res in data or test_data]})\n as... | [
43,
48,
56,
58,
63
] |
<|reserved_special_token_0|>
class Ground:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def draw(self, window):
pygame.draw.rect(window, self.color, self.rect)
return
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Ground:
def __init__(self, space):
... | flexible | {
"blob_id": "32fc0db68c32c2e644f9c1c2318fbeff41a0543d",
"index": 5703,
"step-1": "<mask token>\n\n\nclass Ground:\n <mask token>\n <mask token>\n\n def draw(self, window):\n pygame.draw.rect(window, self.color, self.rect)\n return\n",
"step-2": "<mask token>\n\n\nclass Ground:\n\n def... | [
2,
3,
4,
5,
6
] |
import math
import decimal
from typing import Union, List, Set
from sqlalchemy import text
from .model import BaseMixin
from ..core.db import db
Orders = List[Set(str, Union(str, int, decimal.Decimal))]
class BaseDBMgr:
def get_page(self, cls_:BaseMixin, filters:set, orders:Orders=list(), field:tuple=(), pag... | normal | {
"blob_id": "2c90c4e0b42a75d6d387b9b2d0118d8e991b5a08",
"index": 39,
"step-1": "<mask token>\n\n\nclass BaseDBMgr:\n\n def get_page(self, cls_: BaseMixin, filters: set, orders: Orders=list(),\n field: tuple=(), page: int=1, per_page: int=10) ->dict:\n \"\"\"获取分页数据\n @param BaseMixin cls 数... | [
3,
7,
8,
9,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in l:
card[i - a] += 1
for j in v:
if (j >= a) & (j <= b):
print(card[j - a], end=' ')
else:
print(0, end=' ')
<|reserved_special_token_1|>
<|reserved_special_token_0|>
n = int(sys.stdin.readli... | flexible | {
"blob_id": "6b0081e829f9252e44fa7b81fbfcdd4115856373",
"index": 3748,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in l:\n card[i - a] += 1\nfor j in v:\n if (j >= a) & (j <= b):\n print(card[j - a], end=' ')\n else:\n print(0, end=' ')\n",
"step-3": "<mask token>\nn = i... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
try:
VENV = os.environ[VENV_NAME]
if VENV == '':
print("Environment variable '%s' is empty" % VENV_NAME)
print('Please activate your virtualenv first')
sys.exit(3)
if not os.path.isdir(VENV):
... | flexible | {
"blob_id": "210d1a184d338d77d4c41327d0a9e2a5a56eb2ae",
"index": 2724,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n VENV = os.environ[VENV_NAME]\n if VENV == '':\n print(\"Environment variable '%s' is empty\" % VENV_NAME)\n print('Please activate your virtualenv first')\n ... | [
0,
1,
2,
3,
4
] |
"""Sorting components: peak waveform features."""
import numpy as np
from spikeinterface.core.job_tools import fix_job_kwargs
from spikeinterface.core import get_channel_distances
from spikeinterface.sortingcomponents.peak_localization import LocalizeCenterOfMass, LocalizeMonopolarTriangulation
from spikeinterface.sor... | normal | {
"blob_id": "6fe22b3f98bff1a9b775fce631ae94a4ee22b04c",
"index": 4371,
"step-1": "<mask token>\n\n\nclass RandomProjectionsFeature(PipelineNode):\n <mask token>\n\n def get_dtype(self):\n return self._dtype\n <mask token>\n\n\nclass RandomProjectionsEnergyFeature(PipelineNode):\n\n def __init_... | [
22,
24,
28,
31,
40
] |
# created by RomaOkorosso at 21.03.2021
# models.py
from datetime import datetime
from sqlalchemy import (
Column,
Integer,
String,
Boolean,
DateTime,
ForeignKey,
Date
)
from sqlalchemy.dialects import postgresql
from sqlalchemy.orm import relationship
from Database.database import Base
... | normal | {
"blob_id": "a288e66e64d386afd13bfc7b5b13d4a47d15cd6d",
"index": 1316,
"step-1": "<mask token>\n\n\nclass Client(Base):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass TakenBook(Base):\n __tablename__ = 'taken_books'\n id = Column(Integ... | [
3,
7,
8,
10,
12
] |
<|reserved_special_token_0|>
class TextDocPrintout(wx.Printout):
<|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... | flexible | {
"blob_id": "2790bd80949bafe4e98ab9aca9cf80a6a0f31490",
"index": 6200,
"step-1": "<mask token>\n\n\nclass TextDocPrintout(wx.Printout):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass PrintFrameworkSample(w... | [
10,
14,
16,
19,
22
] |
import pandas as pd
from pandas import Series, DataFrame
def load_excel(data_path, data_name, episode_Num):
data_name = data_name + str(episode_Num) + '.xlsx'
dataframe = pd.read_excel(data_path + data_name, index_col=0)
return dataframe
def dataframe_to_numpy(dataframe):
numpy_array = dataframe.to_... | normal | {
"blob_id": "b63dc8b9aa2f0593a4a7eb52a722a9c4da6c9e08",
"index": 7804,
"step-1": "<mask token>\n\n\ndef dataframe_to_numpy(dataframe):\n numpy_array = dataframe.to_numpy()\n return numpy_array\n\n\n<mask token>\n\n\ndef data_slice(data, num_of_data):\n data = data[:, 1:num_of_data + 1]\n return data\... | [
2,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
urlpatterns = [url('^$', show_articles, name='index'), url('^article/$',
show_article, name='article'), url('^export/$', export_db, name='article')]
<|reserved_special_token_1|>
from django.conf.urls import url
from .views.... | flexible | {
"blob_id": "9fdc7c1eb68a92451d41313861164a915b85fcee",
"index": 8988,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [url('^$', show_articles, name='index'), url('^article/$',\n show_article, name='article'), url('^export/$', export_db, name='article')]\n",
"step-3": "from django.conf... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print('START')
time.sleep(30)
print('END')
<|reserved_special_token_1|>
<|reserved_special_token_0|>
conf = SparkConf().setAppName('myTestCopyApp')
sc = SparkContext(conf=conf)
print('START')
time.sleep(30)
print('END')
<|res... | flexible | {
"blob_id": "4b773fbf45d15dff27dc7bd51d6636c5f783477b",
"index": 9183,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('START')\ntime.sleep(30)\nprint('END')\n",
"step-3": "<mask token>\nconf = SparkConf().setAppName('myTestCopyApp')\nsc = SparkContext(conf=conf)\nprint('START')\ntime.sleep(30)\np... | [
0,
1,
2,
3,
4
] |
import simplejson as json
json_list = [ "/content/squash-generation/squash/final/Custom.json",
"/content/squash-generation/squash/temp/Custom/final_qa_set.json",
"/content/squash-generation/squash/temp/Custom/generated_questions.json",
"/content/squash-generation/squash... | normal | {
"blob_id": "f37d016dc49820239eb42198ca922e8681a2e0a6",
"index": 6929,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in json_list:\n with open(i) as f:\n obj = json.load(f)\n f.close()\n outfile = open(i, 'w')\n outfile.write(json.dumps(obj, indent=4, sort_keys=True))\n o... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class ReshapedDistribution(TorchDistribution):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def __init__(self, base_dist, sample_shape=torch.Size(),
reinterpreted_batch_ndims=0):
sample_shape = torch.Size(sample_shape)
if reinterpreted_bat... | flexible | {
"blob_id": "0f0ea6f07f9a082042ed9aff7a95d372c32b5a13",
"index": 1897,
"step-1": "<mask token>\n\n\nclass ReshapedDistribution(TorchDistribution):\n <mask token>\n <mask token>\n\n def __init__(self, base_dist, sample_shape=torch.Size(),\n reinterpreted_batch_ndims=0):\n sample_shape = tor... | [
27,
35,
36,
39,
44
] |
from typing import Dict, Tuple
import torch
from tqdm import tqdm
import schnetpack.properties as structure
from schnetpack.data import AtomsLoader
__all__ = ["calculate_stats"]
def calculate_stats(
dataloader: AtomsLoader,
divide_by_atoms: Dict[str, bool],
atomref: Dict[str, torch.Tensor] = None,
) ->... | normal | {
"blob_id": "b2944a95dbe25057155aaf6198a97d85b3bb620b",
"index": 6436,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef calculate_stats(dataloader: AtomsLoader, divide_by_atoms: Dict[str,\n bool], atomref: Dict[str, torch.Tensor]=None) ->Dict[str, Tuple[torch.\n Tensor, torch.Tensor]]:\n \... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def game_core_v3(number):
"""Сначала устанавливаем любое random число, а потом уменьшаем или увеличиваем его в зависимости от того, больше оно или меньше нужного.
Функция принимает загаданное число и возвращает число попыток"""
count = 1
allAnsvers = [x for x in range(1... | flexible | {
"blob_id": "66474b8cdca9a4aa48b8dc710d161a3a16495aed",
"index": 6438,
"step-1": "<mask token>\n\n\ndef game_core_v3(number):\n \"\"\"Сначала устанавливаем любое random число, а потом уменьшаем или увеличиваем его в зависимости от того, больше оно или меньше нужного.\n Функция принимает загаданное число... | [
2,
3,
4,
5,
6
] |
import csv
import io
import pickle
import os
import pip
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from googleapiclient.http import MediaIoBaseDownload
import cv2
import numpy as np
SCOPES = ['https:/... | normal | {
"blob_id": "f32b9dc36b2452fea8c8f284fbf800f22608c3ae",
"index": 8541,
"step-1": "<mask token>\n\n\ndef install(package):\n if hasattr(pip, 'main'):\n pip.main(['install', package])\n else:\n pip._internal.main(['install', package])\n\n\n<mask token>\n\n\ndef get_gdrive_service():\n creds ... | [
9,
11,
12,
13,
19
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def test_cant_ever_init_twice(ethtester, root_chain):
ethtester.chain.mine()
with pytest.raises(TransactionFailed):
root_chain.init(sender=ethtester.k0)
with pytest.raises(TransactionFailed):
root_cha... | flexible | {
"blob_id": "8417b63e2b7b16d3d58175022662c5b3e59e4aaf",
"index": 4640,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_cant_ever_init_twice(ethtester, root_chain):\n ethtester.chain.mine()\n with pytest.raises(TransactionFailed):\n root_chain.init(sender=ethtester.k0)\n with p... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
def merge(self, nums1: List[int], m: int, nums2: List[int], n: int) ->None:
"""
m->Size of nums1 list
n->Size of nums2 list
"... | flexible | {
"blob_id": "a732e7141ffb403ca6c5d9c4204cb96c8e831aab",
"index": 6814,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n",
"step-3": "class Solution:\n\n def merge(self, nums1: List[int], m: int, nums2: List[int], n: int) ->None:\n \"\"\"\n m->Size of nums1 list\n ... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
"""
Created on Sat Jul 1 10:18:11 2017
@author: Duong
"""
import pandas as pd
import matplotlib.pyplot as plt
import psycopg2
from pandas.core.frame import DataFrame
# DBS verbinden
database = psycopg2.connect(database="TeamYellow_election", user="student", password="pas... | normal | {
"blob_id": "076b852010ddcea69a294f9f2a653bb2fa2f2676",
"index": 3531,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ncursor.execute(\n 'SELECT tweet_date, COUNT(*) FROM projekt_election.tweet as tweet , projekt_election.hashtag_use as use WHERE tweet.tweet_id = use.tweet_id GROUP BY tweet_date ORDER ... | [
0,
1,
2,
3,
4
] |
import inaccel.coral as inaccel
import numpy as np
import time
class StereoBM:
def __init__(self, cameraMA_l=None, cameraMA_r=None, distC_l=None, distC_r=None, irA_l=None, irA_r=None, bm_state=None ):
# allocate mem for camera parameters for rectification and bm_state class
with inaccel.allocator:
if cameraMA_... | normal | {
"blob_id": "66f3590381fe96c49a8926a806b4a845f0d7e25d",
"index": 4681,
"step-1": "<mask token>\n\n\nclass StereoBM:\n <mask token>\n\n def runAsync(self, left_img, right_img):\n self.m_runStartTime = int(round(time.time() * 1000000))\n if left_img is None:\n raise RuntimeError('Inv... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class DocumentForm(forms.ModelForm):
class Meta:
model = Upload
fields = 'document',
<|reserved_special_token_1|>
from django import forms
from django.contrib.auth.models import User
from django.contrib.... | flexible | {
"blob_id": "e7b1ccbcbb81ff02561d858a4db54d49a2aa0f8a",
"index": 6094,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass DocumentForm(forms.ModelForm):\n\n\n class Meta:\n model = Upload\n fields = 'document',\n",
"step-3": "from django import forms\nfrom django.contrib.auth.mod... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class Student(db.Model):
__tablename__ = 'students'
id = db.Column(db.Integer, primary_key=True)
first_name = db.Column(db.Text)
last_name = db.Column(db.Text)
excuses = db.relationship('Excuse', backref='student', lazy='dynamic')
def __init__(self, first_name, la... | flexible | {
"blob_id": "026e06e777d64f8724ec5e89a7829b3a42a25d6b",
"index": 800,
"step-1": "<mask token>\n\n\nclass Student(db.Model):\n __tablename__ = 'students'\n id = db.Column(db.Integer, primary_key=True)\n first_name = db.Column(db.Text)\n last_name = db.Column(db.Text)\n excuses = db.relationship('Ex... | [
13,
14,
15,
16,
17
] |
from django.db import models
from django.contrib.gis.db import models
from django.contrib.auth.models import User
from django.urls import reverse
class Project(models.Model):
actual_developer = models.ForeignKey(User,null = True,blank=True, on_delete=models.CASCADE)
# actual_developer = models.CharField(User,null ... | normal | {
"blob_id": "ac1d38f550e548dff6ba226dbfc3dd1e5ff876a8",
"index": 5563,
"step-1": "<mask token>\n\n\nclass Project(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 ... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
def mouseMoved():
redraw()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def setup():
global table
table = loadTable('flights.csv', 'header')
size(width, height)
noLoop()
noStroke()
<|reserved_special_token_0|>
def mouseMoved():
redraw()
... | flexible | {
"blob_id": "a2eabf4dae931d82e4e9eda87d79031711faf1aa",
"index": 2221,
"step-1": "<mask token>\n\n\ndef mouseMoved():\n redraw()\n",
"step-2": "<mask token>\n\n\ndef setup():\n global table\n table = loadTable('flights.csv', 'header')\n size(width, height)\n noLoop()\n noStroke()\n\n\n<mask t... | [
1,
2,
3,
4,
5
] |
from app.models.tables import Warehouse, Contractor, Articles
class ContractorTools(Contractor):
"""
Работа со справочником КА
"""
@staticmethod
def add_contractor(**kwargs):
ca = Contractor(**kwargs)
ca.insert()
@staticmethod
def delete_contractor(**kwargs):
ca =... | normal | {
"blob_id": "79c4a2d4503c2639950675b398e000aae367ff4a",
"index": 8117,
"step-1": "<mask token>\n\n\nclass ArticleTools(Articles):\n <mask token>\n\n @staticmethod\n def add_article(**kwargs):\n ca = Articles(**kwargs)\n ca.insert()\n\n @staticmethod\n def update_article(**kwargs):\n ... | [
12,
15,
19,
20,
21
] |
<|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_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.... | flexible | {
"blob_id": "71662ff8c68559bf08e1da7f1a1504bfe842c950",
"index": 7430,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n initial = T... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
while 'spam' in my_order:
print("I don't like spam!")
my_order.remove('spam')
print(my_order)
<|reserved_special_token_1|>
my_order = ['spam', 'eggs', 'sausage', 'spam', 'bacon', 'spam']
while 'spam' in my_order:
pr... | flexible | {
"blob_id": "8e8629dd2d4bb601347694b18d7cb6a94880201d",
"index": 8192,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile 'spam' in my_order:\n print(\"I don't like spam!\")\n my_order.remove('spam')\nprint(my_order)\n",
"step-3": "my_order = ['spam', 'eggs', 'sausage', 'spam', 'bacon', 'spam']... | [
0,
1,
2
] |
<|reserved_special_token_0|>
def _kernel_shape(nd, k, indim, outdim):
if isinstance(k, int):
k = [k for _ in range(nd)]
k = list(k)
assert len(k) == nd
k.extend([indim, outdim])
return k
<|reserved_special_token_0|>
@layer
def conv(x, outdim, kernel=3, stride=1, pad=0, padding='SAME', ... | flexible | {
"blob_id": "940c3b4a2b96907644c0f12deddd8aba4086a0f0",
"index": 5131,
"step-1": "<mask token>\n\n\ndef _kernel_shape(nd, k, indim, outdim):\n if isinstance(k, int):\n k = [k for _ in range(nd)]\n k = list(k)\n assert len(k) == nd\n k.extend([indim, outdim])\n return k\n\n\n<mask token>\n\n... | [
22,
26,
29,
32,
39
] |
#!/usr/bin/env python3
import matplotlib
from matplotlib.colors import to_hex
from matplotlib import cm
import matplotlib.pyplot as plt
import numpy as np
import itertools as it
from pathlib import Path
import subprocess
from tqdm import tqdm
from koala import plotting as pl
from koala import phase_diagrams as pd
fr... | normal | {
"blob_id": "d429f03c0f0c241166d6c0a5a45dc1101bcaec16",
"index": 5878,
"step-1": "<mask token>\n\n\ndef multi_set_symmetric_difference(sets):\n return list(functools.reduce(lambda a, b: a ^ b, [set(s) for s in sets]))\n\n\ndef flood_iteration_plaquettes(l, plaquettes):\n return set(plaquettes) | set(it.cha... | [
3,
4,
5,
6,
7
] |
import numpy as np
import scipy
class node(object):
"""docstring for node"""
def __init__(self, feature_idx):
super(node, self).__init__()
self.children = None
self.j = feature_idx
self.c = None
self.vals = None
class decisionTree(object):
"""docstring for decisionTree"""
def __init__(self, arg):
sup... | normal | {
"blob_id": "c05994471d6608b5e48b71d253304a43100d583f",
"index": 7296,
"step-1": "import numpy as np\nimport scipy\n\n\nclass node(object):\n\t\"\"\"docstring for node\"\"\"\n\tdef __init__(self, feature_idx):\n\t\tsuper(node, self).__init__()\n\t\tself.children = None\n\t\tself.j = feature_idx\n\t\tself.c = Non... | [
0
] |
#求11+12+13+。。。+m
m = int(input('请输入一个数：'))
S = m
for x in range(11,m):
S = S+x
print('sum =',S) | normal | {
"blob_id": "49ffa225d433ef2263159ba2145da5ba2a95d1f2",
"index": 4664,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor x in range(11, m):\n S = S + x\nprint('sum =', S)\n",
"step-3": "m = int(input('请输入一个数：'))\nS = m\nfor x in range(11, m):\n S = S + x\nprint('sum =', S)\n",
"step-4": "#求11+... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
urlpatterns = patterns('', url('^douban/books$', views.BookList.as_view()))
<|reserved_special_token_1|>
from django.conf.urls import patterns, url
import views
urlpatterns = patterns('', url('^douban/books$', views.BookList.as... | flexible | {
"blob_id": "93418e554893db4eb888396e8d6f60a8364d9ee3",
"index": 8560,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = patterns('', url('^douban/books$', views.BookList.as_view()))\n",
"step-3": "from django.conf.urls import patterns, url\nimport views\nurlpatterns = patterns('', url('^dou... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
"""
Created on Tue Mai 15 11:34:22 2018
@author: Diogo Leite
"""
from SQL_obj_new.Dataset_config_dataset_new_sql import _DS_config_DS_SQL
class Dataset_conf_ds(object):
"""
This class treat the datasets configuration connection tables object has it exists in DATASET_CONF_DS table data... | normal | {
"blob_id": "76d2c3f74e8fae160396b4015ccec478dba97b87",
"index": 7422,
"step-1": "<mask token>\n\n\nclass Dataset_conf_ds(object):\n <mask token>\n\n def __init__(self, id_ds_conf_ds=-1, value_configuration=-1,\n FK_id_configuration_DCT_DCD=-1, FK_id_dataset_DS_DCD=-1):\n \"\"\"\n Cons... | [
2,
3,
5,
6,
7
] |
#LIBRERIAS
import cv2
import numpy as np
#FUNCION: recibe una imagen y te devuelve las coordenadas de las caras
def face_detector(img, face_cascade, eye_cascade, face_f):
#variables face_f
xf = face_f[0]
yf = face_f[1]
wf = face_f[2]
hf = face_f[3]
#variables img
xi = 0
yi = 0
... | normal | {
"blob_id": "1df3a5dc8ed767e20d34c2836eed79872a21a016",
"index": 9948,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef face_detector(img, face_cascade, eye_cascade, face_f):\n xf = face_f[0]\n yf = face_f[1]\n wf = face_f[2]\n hf = face_f[3]\n xi = 0\n yi = 0\n wi = img.shape[... | [
0,
1,
2,
3
] |
import requests
def get(url):
return requests.get(url).text
| normal | {
"blob_id": "671ecf23df1da659d186014afa738d0608ad404d",
"index": 9251,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef get(url):\n return requests.get(url).text\n",
"step-3": "import requests\n\n\ndef get(url):\n return requests.get(url).text\n",
"step-4": null,
"step-5": null,
"step... | [
0,
1,
2
] |
#!/usr/bin/python2.7
import sys
import datetime
import psycopg2
import json
import collections
from pprint import pprint
from pyral import Rally, rallyWorkset
import copy
import os
import argparse
from ConfigParser import SafeConfigParser
import traceback
global rally
global server_name
"""
WARNING: This was hacked... | normal | {
"blob_id": "be0afa5184f753ed5f9a483379a4d81cd7af4886",
"index": 6845,
"step-1": "#!/usr/bin/python2.7\nimport sys\nimport datetime\nimport psycopg2\nimport json\nimport collections\nfrom pprint import pprint\nfrom pyral import Rally, rallyWorkset\nimport copy\nimport os\nimport argparse\nfrom ConfigParser impor... | [
0
] |
#!/usr/bin/python
import sys
import itertools as it
pop_list = []
#with open("/Users/dashazhernakova/Documents/Doby/GenomeRussia/ancientDNA/GR+Lazaridis.ind") as f:
with open(sys.argv[1]) as f:
[pop_list.append(l.strip().split("\t")[2]) for l in f if l.strip().split("\t")[2] not in pop_list]
triplets = it.combinati... | normal | {
"blob_id": "de7cd231aceb2700acb3ecafe36d1ba1f5c1643b",
"index": 6191,
"step-1": "#!/usr/bin/python\nimport sys\nimport itertools as it\n\npop_list = []\n\n#with open(\"/Users/dashazhernakova/Documents/Doby/GenomeRussia/ancientDNA/GR+Lazaridis.ind\") as f:\nwith open(sys.argv[1]) as f:\n\t[pop_list.append(l.stri... | [
0
] |
from flask import Flask, request, render_template, redirect
from stories import Story, stories
# from flask_debugtoolbar import DebugToolbarExtension
app = Flask(__name__)
# app.config['SECRET_KEY'] = "secret"
# debug = DebugToolbarExtension(app)
# my original approach involved using a global story variable to sto... | normal | {
"blob_id": "08ed57ffb7a83973059d62f686f77b1bea136fbd",
"index": 3828,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef home_page():\n \"\"\"Offer user choice of Madlib Games\"\"\"\n return render_template('index.html', stories=stories.values())\n\n\n<mask token>\n\n\n@app.route('/story')\ndef show_story(... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
cv.imshow('Threshold Trunc', th3)
cv.imshow('Threshold2', th2)
cv.imshow('Threshold', th1)
cv.imshow('Image', img)
cv.imshow('th4', th4)
cv.imshow('th5', th5)
cv.waitKey(0)
cv.destroyAllWindows()
<|reserved_special_token_1|>
<|... | flexible | {
"blob_id": "6f356840944e11f52a280262697d7e33b3cca650",
"index": 2319,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ncv.imshow('Threshold Trunc', th3)\ncv.imshow('Threshold2', th2)\ncv.imshow('Threshold', th1)\ncv.imshow('Image', img)\ncv.imshow('th4', th4)\ncv.imshow('th5', th5)\ncv.waitKey(0)\ncv.dest... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class BannerAdmin(object):
list_display = 'title', 'url', 'index'
class BaseSetting(object):
enable_themes = True
user_bootswatch = True
class GlobalSetting(object):
site_title = '西游记'
site_footer = '咨询在线'
<|reserved_special_token_0|>
<|reserved_special_token_1... | flexible | {
"blob_id": "263a853f33eb9724101ca87f12b914282dea9981",
"index": 1441,
"step-1": "<mask token>\n\n\nclass BannerAdmin(object):\n list_display = 'title', 'url', 'index'\n\n\nclass BaseSetting(object):\n enable_themes = True\n user_bootswatch = True\n\n\nclass GlobalSetting(object):\n site_title = '西游记... | [
6,
7,
8,
9,
10
] |
# coding:utf-8
'''
对称二叉树
实现一个函数，用来判断一个二叉树是不是对称的
如果一颗二叉树和它的镜像是一样的，就是对称的
'''
class BinaryTreeNode(object):
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution(object):
def isSymmetryBonaryTree(self, pRoot):
if pRoot is None:
return... | normal | {
"blob_id": "c1a9c220b9100a927076753d6483ad7c069dea8c",
"index": 4271,
"step-1": "# coding:utf-8\n\n'''\n对称二叉树\n实现一个函数，用来判断一个二叉树是不是对称的\n如果一颗二叉树和它的镜像是一样的，就是对称的\n'''\n\n\nclass BinaryTreeNode(object):\n def __init__(self, x):\n self.val = x\n self.left = None\n self.right = None\n\n\nclass ... | [
0
] |
#! /usr/bin/env python3
import common, os, shutil, sys
def main():
os.chdir(common.root)
shutil.rmtree('shared/target', ignore_errors = True)
shutil.rmtree('platform/build', ignore_errors = True)
shutil.rmtree('platform/target', ignore_errors = True)
shutil.rmtree('tests/target', ignore_errors = True)
shut... | normal | {
"blob_id": "2305d0b7ec0d9e08e3f1c0cedaafa6ed60786e50",
"index": 7359,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n os.chdir(common.root)\n shutil.rmtree('shared/target', ignore_errors=True)\n shutil.rmtree('platform/build', ignore_errors=True)\n shutil.rmtree('platform/ta... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python
import matplotlib.pyplot as plt
import numpy as np
n_points = 100
n_sims = 1000
def simulate_one_realisation():
return np.random.normal(1, 2, size=n_points)
def infer(sample):
return {'mean': np.mean(sample), 'std': np.std(sample)}
inference = [infer(simulate_one_realisation()) for _ ... | normal | {
"blob_id": "6e8ef901fc614ecbba25df01f84a43c429f25cf6",
"index": 4919,
"step-1": "<mask token>\n\n\ndef infer(sample):\n return {'mean': np.mean(sample), 'std': np.std(sample)}\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef simulate_one_realisation():\n return np.random.normal(1, 2, size=n_points... | [
1,
3,
4,
5,
6
] |
import matplotlib.pyplot as plt
import matplotlib
import numpy as np
from PIL import Image
from scipy.misc import imsave, imread
def plots(epochs, train_acc, test_acc, train_loss, test_loss, train_error, test_error,filename):
plt.style.use('bmh')
fig=plt.figure(figsize=(8,6))
plt.plot(epochs,train_acc, ... | normal | {
"blob_id": "93150eb1c6746e2b1967eb5305fa526ae36968fd",
"index": 2003,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef write_csv(filename, train_acc, test_acc, train_loss, test_loss,\n train_error, test_error, epoch):\n if epoch == 0:\n with open(filename, 'w') as f:\n f.wr... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class TicketSetSchema(RebaseSchema):
<|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|>
<|reserved_special_token... | flexible | {
"blob_id": "5ebc4f61810f007fd345b52531f7f4318820b9c8",
"index": 6333,
"step-1": "<mask token>\n\n\nclass TicketSetSchema(RebaseSchema):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass TicketSetSchema(RebaseSchem... | [
1,
2,
4,
5
] |
import dlib
import cv2
import imageio
import torch
from PIL import Image
from model import AgeGenderModel
from mix_model import MixModel
from torchvision.transforms import transforms
from tqdm import tqdm
from retinaface.pre_trained_models import get_model
transform = transforms.Compose([
transforms.Resize((112,... | normal | {
"blob_id": "1cc14836808d70c1e53a9ca948a52776ebc89f4a",
"index": 4624,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nmodel.load_state_dict(ckpt['model_state_dict'])\nmodel.eval()\nmodel.to(device)\n<mask token>\nmodel_face.eval()\n<mask token>\nfor img in tqdm(video):\n if img is not None:\n a... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
'''
THROW with or without parameters
Which of the following is true about the THROW statement?
Answer the question
50XP
Possible Answers
- The THROW statement without parameters should be placed within a CATCH block.
- The THROW statement with p... | flexible | {
"blob_id": "75023c7600fcceda0dc225992e7c433291b1a190",
"index": 7254,
"step-1": "<mask token>\n",
"step-2": "'''\nTHROW with or without parameters\n\n\nWhich of the following is true about the THROW statement?\n\nAnswer the question\n50XP\n\nPossible Answers\n\n - The THROW statement without parameters sho... | [
0,
1
] |
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