code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
<|reserved_special_token_0|>
class Seq:
<|reserved_special_token_0|>
def __init__(self, sequence: str, id: str=None, codons: dict=codons):
self.sequence = sequence
self.id = id
self.codons = codons
def __repr__(self):
if not self.id:
return f'Seq({self.sequenc... | flexible | {
"blob_id": "3d742505d480493fbc729e7a0febdcab3a7dc041",
"index": 9386,
"step-1": "<mask token>\n\n\nclass Seq:\n <mask token>\n\n def __init__(self, sequence: str, id: str=None, codons: dict=codons):\n self.sequence = sequence\n self.id = id\n self.codons = codons\n\n def __repr__(s... | [
20,
24,
31,
33,
35
] |
<|reserved_special_token_0|>
def naiveBayes(X_train, y_train):
model = GaussianNB()
model = model.fit(X_train, y_train)
return model
def knn(X_train, y_train):
model = KNeighborsClassifier()
model = model.fit(X_train, y_train)
return model
def decisionTree(X_train, y_train):
model = tr... | flexible | {
"blob_id": "a92384a6abee9e231092ee0e4dbdb60bafcc9979",
"index": 8782,
"step-1": "<mask token>\n\n\ndef naiveBayes(X_train, y_train):\n model = GaussianNB()\n model = model.fit(X_train, y_train)\n return model\n\n\ndef knn(X_train, y_train):\n model = KNeighborsClassifier()\n model = model.fit(X_t... | [
13,
14,
16,
17,
21
] |
from lredit import *
# customization of MainWindow
def configure(window):
#----------------------------------------------
# Generic edit config
# tab width and indent width
Mode.tab_width = 4
# make TAB character visible
Mode.show_tab = True
# make space character visible
Mode.sh... | normal | {
"blob_id": "d8e2613b45b3f4a24db0b07a01061c6057c9feed",
"index": 4973,
"step-1": "from lredit import *\n\n\n# customization of MainWindow\ndef configure(window):\n\n\n #----------------------------------------------\n # Generic edit config\n\n # tab width and indent width\n Mode.tab_width = 4\n\n ... | [
0
] |
"""Run golden output tests.
The golden tests are a convenient way to make sure that a "small" change
does not break anyone else.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from collections import namedtuple
import os
import subprocess
import sys
... | normal | {
"blob_id": "2294951af6ad7a5e752285194d0586c79c49ef87",
"index": 4254,
"step-1": "<mask token>\n\n\ndef FindTests():\n \"\"\"Finds golden files and returns Test cases for each.\"\"\"\n for root, _, files in os.walk(GOLDEN_CASES_DIR):\n path_parts = root.split('/')\n if path_parts[-3] == 'gold... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
def change_directory(path):
"""
Changes directory to path.
"""
os.chdir(path)
<|reserved_special_token_0|>
def get_key_from_values(f, catalog):
"""
Gets the full associated with the filename in the catalog.
"""
L_keys = []
L_values = []
for pa... | flexible | {
"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|>
def checksum_tcp_udp(ip_header, buffer_name, data_length, lenth):
return sum_checksum_tcp_udp
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def checksum_tcp_udp(ip_header, buff... | flexible | {
"blob_id": "6d25b0fedf0d5081a3a0a93ddacc49748464d9d0",
"index": 405,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef checksum_tcp_udp(ip_header, buffer_name, data_length, lenth):\n return sum_checksum_tcp_udp\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef checksum_tcp_udp(ip_header, ... | [
0,
1,
2,
3,
4
] |
v = 426
# print 'Yeah!' if dividable by 4 but print 'End of program' after regardless
if (v%4) == 0:
print ("Yeah!")
else:
print ("End of the program")
| normal | {
"blob_id": "ceca1be15aded0a842c5f2c6183e4f54aba4fd24",
"index": 6752,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif v % 4 == 0:\n print('Yeah!')\nelse:\n print('End of the program')\n",
"step-3": "v = 426\nif v % 4 == 0:\n print('Yeah!')\nelse:\n print('End of the program')\n",
"step... | [
0,
1,
2,
3
] |
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy.feature import ShapelyFeature
from shapely.geometry import shape
def plot(s):
proj = ccrs.PlateCarree()
ax = plt.axes(projection=proj)
ax.set_extent((s.bounds[0], s.bounds[2], s.bounds[1], s.bounds[3]), crs=ccrs.PlateCarree())
sha... | normal | {
"blob_id": "75754f4032d6e22e53cdbed0f6c640247473faec",
"index": 7606,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef plot_merc(s):\n proj = ccrs.Mercator()\n ax = plt.axes(projection=proj)\n ax.set_extent((s.bounds[0], s.bounds[2], s.bounds[1], s.bounds[3]), crs\n =ccrs.PlateCarr... | [
0,
1,
2,
3,
4
] |
print("gggg")
print("gggg")
print("gggg")
| normal | {
"blob_id": "b53294330a908f8a50d8fbb50b9c88e2bc6135a1",
"index": 4124,
"step-1": "<mask token>\n",
"step-2": "print('gggg')\nprint('gggg')\nprint('gggg')\n",
"step-3": "print(\"gggg\")\nprint(\"gggg\")\nprint(\"gggg\")\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
import data
import numpy as np
import matplotlib.pyplot as plt
import xgboost as xgb
import pandas as pd
import csv
from matplotlib2tikz import save as tikz_save
import trial_sets
def print_stats(trial_id, dl):
wrist_device, _, true_device = dl.load_oxygen(trial_id, iid=False)
print("Length of Dataframe: " ... | normal | {
"blob_id": "836e2fd6eca7453ab7a3da2ecb21705552b5f627",
"index": 5157,
"step-1": "<mask token>\n\n\ndef print_stats(trial_id, dl):\n wrist_device, _, true_device = dl.load_oxygen(trial_id, iid=False)\n print('Length of Dataframe: ' + str(data.get_df_length(wrist_device)))\n wrist_oxygen = wrist_device.v... | [
4,
6,
7,
8,
9
] |
# parsetab.py
# This file is automatically generated. Do not edit.
# pylint: disable=W,C,R
_tabversion = '3.10'
_lr_method = 'LALR'
_lr_signature = 'AND BREAK CHAR COLON COMA CTE_F CTE_I CTE_STRING DETERMINANT DIFFERENT DIVIDE DO DOUBLEEQUAL ELSE EQUAL FLOAT FROM FUNCTION ID IF INPUT INT INVERSA LBRACE LCORCH LOWERE... | normal | {
"blob_id": "160f272edd8283ea561552f22c71967db4a1660a",
"index": 7983,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor _k, _v in _lr_action_items.items():\n for _x, _y in zip(_v[0], _v[1]):\n if not _x in _lr_action:\n _lr_action[_x] = {}\n _lr_action[_x][_k] = _y\ndel _lr_... | [
0,
1,
2,
3
] |
import cv2
# open webcam (웹캠 열기)
webcam = cv2.VideoCapture(0)
if not webcam.isOpened():
print("Could not open webcam")
exit()
sample_num = 0
captured_num = 0
# loop through frames
while webcam.isOpened():
# read frame from webcam
status, frame = webcam.read()
sample_num = s... | normal | {
"blob_id": "856a27e953a6b4e1f81d02e00717a8f95a7dea5f",
"index": 7790,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif not webcam.isOpened():\n print('Could not open webcam')\n exit()\n<mask token>\nwhile webcam.isOpened():\n status, frame = webcam.read()\n sample_num = sample_num + 1\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Piece(Objet):
<|reserved_special_token_0|>
def ramasser(self, joueur):
joueur.addPiece()
def depenser(self, joueur):
joueur.depenserPiece()
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Piece(Objet... | flexible | {
"blob_id": "b6898b923e286c66673df1e07105adf789c3151c",
"index": 6335,
"step-1": "<mask token>\n\n\nclass Piece(Objet):\n <mask token>\n\n def ramasser(self, joueur):\n joueur.addPiece()\n\n def depenser(self, joueur):\n joueur.depenserPiece()\n <mask token>\n",
"step-2": "<mask token... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in range(N):
ans.append(abs(i + 1 - lst[i]))
<|reserved_special_token_0|>
for i in s:
rst.append([i, s[i]])
rst.sort(key=lambda x: x[0], reverse=True)
for i in rst:
if i[1] > 1:
print(i[0], i[1])
<|rese... | flexible | {
"blob_id": "decd5d50025fc3b639be2f803d917ff313cf7219",
"index": 8838,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(N):\n ans.append(abs(i + 1 - lst[i]))\n<mask token>\nfor i in s:\n rst.append([i, s[i]])\nrst.sort(key=lambda x: x[0], reverse=True)\nfor i in rst:\n if i[1] > 1:\... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in range(0, c):
d = ord(a[i])
if b > 0:
for j in range(1, b + 1):
if a[i] >= 'a' and a[i] <= 'z' or a[i] >= 'A' and a[i] <= 'Z':
if d >= 65 and d < 90 or d >= 97 and d < 122:
... | flexible | {
"blob_id": "287d4c2d490c9dcdd7be7e86fe577139a3d30f54",
"index": 6676,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(0, c):\n d = ord(a[i])\n if b > 0:\n for j in range(1, b + 1):\n if a[i] >= 'a' and a[i] <= 'z' or a[i] >= 'A' and a[i] <= 'Z':\n if ... | [
0,
1,
2,
3
] |
#MenuTitle: Find and Replace Corner Components at Certain Angles
# -*- coding: utf-8 -*-
from __future__ import division, print_function, unicode_literals
__doc__="""
Replace Corner Components at blunt or acute angles.
"""
import vanilla, math
from Foundation import NSPoint
class ReplaceCornersAtCertainAngles( object... | normal | {
"blob_id": "540ae4be6a41d52d9c803f829fc8b13b523b31bc",
"index": 116,
"step-1": "<mask token>\n\n\nclass ReplaceCornersAtCertainAngles(object):\n\n def __init__(self):\n windowWidth = 250\n windowHeight = 140\n windowWidthResize = 100\n windowHeightResize = 0\n self.w = vani... | [
8,
9,
10,
11,
12
] |
<|reserved_special_token_0|>
@app.route('/')
def home():
thing = request.args.get('thing')
height = request.args.get('height')
color = request.args.get('color')
return render_template('home1.html', thing=thing, height=height, color=
color)
<|reserved_special_token_0|>
<|reserved_special_to... | flexible | {
"blob_id": "664f9d5aa981c3590043fae1d0c80441bda4fbb1",
"index": 2499,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef home():\n thing = request.args.get('thing')\n height = request.args.get('height')\n color = request.args.get('color')\n return render_template('home1.html', thing=thing, height=hei... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
create_paths()
<|reserved_special_token_0|>
if os.path.exists(initial_weights_path):
model.load_weights(initial_weights_path)
if initial_train:
model_checkpoint = tf.keras.callbacks.ModelCheckpoint(initial_weights_path,
... | flexible | {
"blob_id": "d36552cc589b03008dc9edab8d7e4a003e26bd21",
"index": 5046,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ncreate_paths()\n<mask token>\nif os.path.exists(initial_weights_path):\n model.load_weights(initial_weights_path)\nif initial_train:\n model_checkpoint = tf.keras.callbacks.ModelChe... | [
0,
1,
2,
3,
4
] |
from django.db import models
# Create your models here.
class Orders(models.Model):
customer_name = models.CharField(max_length=80)
customer_email = models.CharField(max_length=120)
customer_mobile = models.CharField(max_length=40)
status = models.CharField(max_length=20)
process_url = models.Cha... | normal | {
"blob_id": "bc7a7b9ba4b3277c862aadb57b56661c24efc6e5",
"index": 5577,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Orders(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",
"step... | [
0,
1,
2,
3,
4
] |
# (C) Datadog, Inc. 2018
# All rights reserved
# Licensed under a 3-clause BSD style license (see LICENSE)
from .agent import agent
from .clean import clean
from .config import config
from .create import create
from .dep import dep
from .env import env
from .meta import meta
from .release import release
from .run impor... | normal | {
"blob_id": "7a69a9fd6ee5de704a580e4515586a1c1d2b8017",
"index": 5874,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nALL_COMMANDS = (agent, clean, config, create, dep, env, meta, release, run,\n test, validate)\n",
"step-3": "from .agent import agent\nfrom .clean import clean\nfrom .config import c... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def translation(query, src_lang, target_lang):
if type(query) != str:
raise AttributeError('[ERROR] query parameter should be string type')
elif len(query) > 5000:
raise AttributeError(
'[ERROR] Maximum length of query parameter should be same or less t... | flexible | {
"blob_id": "7f58179efecd5a0d691a5c6d83b808f2cd2fcba3",
"index": 5332,
"step-1": "<mask token>\n\n\ndef translation(query, src_lang, target_lang):\n if type(query) != str:\n raise AttributeError('[ERROR] query parameter should be string type')\n elif len(query) > 5000:\n raise AttributeError(... | [
1,
2,
3,
4,
5
] |
# -*- coding: utf-8 -*-
"""Template parser for Faker"""
from datetime import datetime
from jinja2 import Template
from faker import Faker
from faker.providers.internet import Provider as InternetProvider
from ..providers.file_data_source_provider import FileDataSourceProvider
from ..providers.numbers_provider import Nu... | normal | {
"blob_id": "38f9cddfde4787ead2314fc70c1f4d91a3da9687",
"index": 1307,
"step-1": "<mask token>\n\n\nclass TemplateParser:\n <mask token>\n <mask token>\n\n def __init__(self, template=None, providers=None, date_generator=None):\n self.fake = Faker()\n self.fake.add_provider(FileDataSourceP... | [
3,
4,
6,
7,
8
] |
import random
consonants = [
'b', 'c', 'd', 'f', 'g',
'h', 'j', 'k', 'l', 'm',
'n', 'p', 'q', 'r', 's',
't', 'v', 'w', 'x', 'y',
'z'
]
vowels = [
'a', 'e',' i', 'o', 'u'
]
def make_word(user_input):
word = ""
for letter in user_input:
letter = letter.lower()
if letter... | normal | {
"blob_id": "a4f4137b9310ebc68515b9cae841051eda1f0360",
"index": 3522,
"step-1": "<mask token>\n\n\ndef make_word(user_input):\n word = ''\n for letter in user_input:\n letter = letter.lower()\n if letter == 'c':\n word += random.choice(consonants)\n elif letter == 'v':\n ... | [
1,
2,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(np.random.binomial(10, 0.5, 1))
<|reserved_special_token_1|>
import numpy as np
print(np.random.binomial(10, 0.5, 1))
| flexible | {
"blob_id": "0a3e0eeda14e42bfff7797b3c42a0aebd9a72ade",
"index": 3212,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(np.random.binomial(10, 0.5, 1))\n",
"step-3": "import numpy as np\nprint(np.random.binomial(10, 0.5, 1))\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class RobotCar_Stub(RobotCar):
<|reserved_special_token_0|>
def backward(self):
print('Backward')
def left(self):
print('Left')
def right(self):
print('Right')
def stop(self):
print('Stop')
<|reserved_special_token_0|>
<|reserved... | flexible | {
"blob_id": "09b2c1e69203f440754e82506b42e7856c94639a",
"index": 8623,
"step-1": "<mask token>\n\n\nclass RobotCar_Stub(RobotCar):\n <mask token>\n\n def backward(self):\n print('Backward')\n\n def left(self):\n print('Left')\n\n def right(self):\n print('Right')\n\n def stop(... | [
5,
6,
7,
8,
9
] |
# content of conftest.py
# adapted from http://pytest.org/latest/example/special.html
import pytest
import requests
def tear_down():
''' conftest.py tear_down - the last to go.... '''
print("\nTEARDOWN after all tests")
@pytest.fixture(scope="session", autouse=True)
def set_up(request):
''' conftest... | normal | {
"blob_id": "816b1a932208a4525230dd886adf8c67dec3af3e",
"index": 349,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@pytest.fixture(scope='session', autouse=True)\ndef set_up(request):\n \"\"\" conftest.py set_up - the first to start.... \"\"\"\n print('\\nSETUP before all tests')\n request... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def test_classifier(config, dataset, checkpoint_path, device='cuda:0'):
model = ToxicClassifier(config)
checkpoint = torch.load(checkpoint_path, map_location=device)
model.load_state_dict(checkpoint['state_dict'])
... | flexible | {
"blob_id": "58c7e81d1b3cf1cff7d91bf40641e5a03b9f19ac",
"index": 5730,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_classifier(config, dataset, checkpoint_path, device='cuda:0'):\n model = ToxicClassifier(config)\n checkpoint = torch.load(checkpoint_path, map_location=device)\n mo... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
@app.route('/info/<pelicula>', methods=['GET', 'POST'])
def informacionPelicula(pelicula):
peliculas = catalogo_data['peliculas']
if request.method == 'POST':
return redirect(url_for('index'), code=307)
for aux in peliculas:
if aux['titulo'] == pelicula.replace... | flexible | {
"blob_id": "ebb4cf1ec2baa7bd0d29e3ae88b16e65cf76a88a",
"index": 3679,
"step-1": "<mask token>\n\n\n@app.route('/info/<pelicula>', methods=['GET', 'POST'])\ndef informacionPelicula(pelicula):\n peliculas = catalogo_data['peliculas']\n if request.method == 'POST':\n return redirect(url_for('index'), ... | [
9,
12,
13,
15,
16
] |
# Generated by Django 3.0.4 on 2020-03-27 11:42
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('web', '0005_remove_product_image'),
]
operations = [
migrations.CreateMode... | normal | {
"blob_id": "c10e1cf2f1ce5b11d19ddddbfc3dc9652d830a3c",
"index": 1132,
"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 = [('web', '0005... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Remedio(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_1|>
<|reserved_special_token_0|>
class Remedio(models.Model):
... | flexible | {
"blob_id": "07cce6802ab3259dbc78ab86a8dd6d6a4a617c7e",
"index": 5242,
"step-1": "<mask token>\n\n\nclass Remedio(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Remedio(models.Model):\n <mask token>\n <mask t... | [
1,
2,
3,
4,
5
] |
from django import forms
from acl.models import Alert
class CreateAlertForm(forms.ModelForm):
class Meta:
model = Alert
exclude = ['role', 'age_analysis', 'Date_Uploaded', 'alias_name',
'CAMT_Reveiewer', 'Date_Regularised', 'alert_message', 'Count2']
| normal | {
"blob_id": "bfcf6e241881c4f668f926e087ab0f7dcad61dee",
"index": 5260,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass CreateAlertForm(forms.ModelForm):\n\n\n class Meta:\n model = Alert\n exclude = ['role', 'age_analysis', 'Date_Uploaded', 'alias_name',\n 'CAMT_Revei... | [
0,
1,
2
] |
from functools import partial
import utils.functions as fn
import random as rd
import numpy as np
import time
class NeuralNetwork:
def __init__(self, input_size, hidden_size, output_size):
self.input_size = input_size
self.hidden_size = hidden_size
self.output_size = output_size
... | normal | {
"blob_id": "f24516d8977b10b1ccece2f8eaec6e08ce0c2e16",
"index": 9689,
"step-1": "<mask token>\n\n\nclass NeuralNetwork:\n\n def __init__(self, input_size, hidden_size, output_size):\n self.input_size = input_size\n self.hidden_size = hidden_size\n self.output_size = output_size\n ... | [
5,
6,
7,
8,
9
] |
aes_key = 'eR5ceExL4IpUUY2lqALN7gLXzo11jlXPOwTwFGwOO3h='
| normal | {
"blob_id": "7112348631bc60767bfb79c7f6966fc9189c522b",
"index": 7901,
"step-1": "<mask token>\n",
"step-2": "aes_key = 'eR5ceExL4IpUUY2lqALN7gLXzo11jlXPOwTwFGwOO3h='\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
# -------------------------------------------------------------------------
# File: mb_trap.py
# Created: Tue Feb 7 20:51:32 2006
# -------------------------------------------------------------------------
import random
import mb_io
import mb_subs
from mb_go import GameObject
class Trap(GameObject):
"""
... | normal | {
"blob_id": "f2a94f6bfe86af439a8248b40732340c45d89b93",
"index": 9925,
"step-1": "<mask token>\n\n\nclass Trap(GameObject):\n <mask token>\n\n def __init__(self, gamedir, filename=None):\n self.attacks = list()\n self.x = 0\n self.y = 0\n self.radius = 0\n self.is_first_r... | [
3,
4,
5,
6,
7
] |
from typing import Any, Sequence, Callable, Union, Optional
import pandas as pd
import numpy as np
from .taglov import TagLoV
def which_lov(series: pd.Series,
patterns: Sequence[Sequence[Any]],
method: Optional[Union[Callable, str]] = None,
**kwargs) -> np.ndarray:
"""Whi... | normal | {
"blob_id": "7b9bf791d52fdc801e24d0c8541d77d91a488e12",
"index": 3361,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef which_lov(series: pd.Series, patterns: Sequence[Sequence[Any]], method:\n Optional[Union[Callable, str]]=None, **kwargs) ->np.ndarray:\n \"\"\"Which list-of-values does ever... | [
0,
1,
2,
3,
4
] |
import os
from sql_interpreter.tables.csv_table import CsvTable
from sql_interpreter.interpreter import SqlInterpreter
from sql_interpreter.cli import Cli
class InterpreterTest():
def setUp(self):
self.interpreter = SqlInterpreter()
self.cli = Cli(self.interpreter)
filename = os.... | normal | {
"blob_id": "b3ee76bc0d93135d0908044a2424dd927a390007",
"index": 6357,
"step-1": "<mask token>\n\n\nclass InterpreterTest:\n <mask token>\n\n def tearDown(self):\n self.interpreter.unload_all()\n <mask token>\n\n def test_select_2(self):\n sql = \"\"\"select\n e.id, last_name... | [
4,
5,
8,
9,
10
] |
#!/usr/bin/python
import socket
import sys
from ctypes import *
import re
if len(sys.argv) == 3:
TCP_IP = sys.argv[1]
TCP_PORT = int(sys.argv[2])
else:
TCP_IP = "127.0.0.1"
TCP_PORT = 5005
BUFFER_SIZE = 1024
MESSAGE = "Hello, World!\n"
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
print "Connecting to " ... | normal | {
"blob_id": "f570d7e723fd0bec8c51022912a7dab4795fad43",
"index": 2049,
"step-1": "#!/usr/bin/python\n\nimport socket\nimport sys\nfrom ctypes import *\nimport re\n\nif len(sys.argv) == 3:\n\tTCP_IP = sys.argv[1]\n\tTCP_PORT = int(sys.argv[2])\nelse:\n\tTCP_IP = \"127.0.0.1\"\n\tTCP_PORT = 5005\n\nBUFFER_SIZE = 1... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
while person_win_count < 4 or person_lose_count < 4:
player = input('가위, 바위, 보 중 어떤 것을 낼래요? ')
if player != '가위' and player != '바위' and player != '보':
player = input('다시 입력해 주세요.(예: 가위, 바위, 보)')
computer = rand... | flexible | {
"blob_id": "93d4c6b6aef827d6746afc684c32a9cf1d0229e4",
"index": 717,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile person_win_count < 4 or person_lose_count < 4:\n player = input('가위, 바위, 보 중 어떤 것을 낼래요? ')\n if player != '가위' and player != '바위' and player != '보':\n player = input('다시... | [
0,
1,
2,
3,
4
] |
import unittest
from utils import getParams
from utils.httpUtil import HttpUtil
from utils.logger import Log
logger = Log(logger='cms_getMarket').get_log()
class NavTest(unittest.TestCase):
@classmethod
def setUpClass(cls) ->None:
cls.url = getParams.get_url('cms_getMarket', 'getMarket')
Http... | normal | {
"blob_id": "b328ee0b6c5afaf496297cefe477f933af458a03",
"index": 5654,
"step-1": "<mask token>\n\n\nclass NavTest(unittest.TestCase):\n <mask token>\n\n @classmethod\n def tearDownClass(cls) ->None:\n pass\n\n def test01_getMarket(self):\n resp_c = getParams.get_resp_params('cms_getMark... | [
3,
4,
5,
6
] |
<|reserved_special_token_0|>
def defeating_cost(i, defeating):
return (i + 1) * defeating[i]
def defeating_cost_precompute(health):
n = len(health) + 1
defeating = [(0) for x in range(n)]
defeating[len(health)] = 0
for i in range(len(health) - 1, -1, -1):
defeating[i] = defeating[i + 1] ... | flexible | {
"blob_id": "24ad62342fb9e7759be8561eaf0292736c7dcb6d",
"index": 6756,
"step-1": "<mask token>\n\n\ndef defeating_cost(i, defeating):\n return (i + 1) * defeating[i]\n\n\ndef defeating_cost_precompute(health):\n n = len(health) + 1\n defeating = [(0) for x in range(n)]\n defeating[len(health)] = 0\n ... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
class TestRB(unittest.TestCase):
<|reserved_special_token_0|>
@staticmethod
def choose_pattern(pattern_type, nq):
"""
Choose a valid field for rb_opts['rb_pattern']
:param pattern_type: a number between 0 and 2.
0 - a list ... | flexible | {
"blob_id": "995e42312e286d82fa101128795d8aa60c1a6548",
"index": 4203,
"step-1": "<mask token>\n\n\nclass TestRB(unittest.TestCase):\n <mask token>\n\n @staticmethod\n def choose_pattern(pattern_type, nq):\n \"\"\"\n Choose a valid field for rb_opts['rb_pattern']\n :param pattern_ty... | [
6,
7,
8,
9,
10
] |
# Copyright 2021 TerminalWarlord under the terms of the MIT
# license found at https://github.com/TerminalWarlord/Subtitle-Downloader-Bot/blob/master/LICENSE
# Encoding = 'utf-8'
# Fork and Deploy, do not modify this repo and claim it yours
# For collaboration mail me at dev.jaybee@gmail.com
from pyrogram impo... | normal | {
"blob_id": "ecbb64223b0d5aa478cf91e1fcafe45572eac1af",
"index": 6197,
"step-1": "<mask token>\n\n\n@app.on_message(filters.command('start'))\ndef start(client, message):\n kb = [[InlineKeyboardButton('🍿 Channel', url=\n 'https://telegram.me/MyTestBotZ'), InlineKeyboardButton(\n '🍿 BotsList', ... | [
12,
13,
14,
15,
16
] |
<|reserved_special_token_0|>
def task_correo():
"""
envia correo
"""
correo()
logger.info('se envio el correo')
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@app.task
def correo():
try:
port = 587
smtp_server = 'smtp-mail.outlook... | flexible | {
"blob_id": "d0a6bfb729a150863303621a136ae80e96ae32d0",
"index": 3250,
"step-1": "<mask token>\n\n\ndef task_correo():\n \"\"\"\n envia correo\n \"\"\"\n correo()\n logger.info('se envio el correo')\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\n@app.task\ndef correo():\n try:\n po... | [
1,
2,
3,
4,
5
] |
"""
pytest.mark.parametrize(“变量参数名称”，变量数据列表[‘123’,‘34’,‘567’,‘78’])
上面的变量个数有4个，测试用例传入变量名称后，会依序4次使用变量的数据，执行4次测试用例
def test001(self,"变量参数名称")
assert 变量名称
""" | normal | {
"blob_id": "24f3284a7a994951a1f0a4ef64c951499bbba1b4",
"index": 6958,
"step-1": "<mask token>\n",
"step-2": "\"\"\"\n pytest.mark.parametrize(“变量参数名称”，变量数据列表[‘123’,‘34’,‘567’,‘78’])\n 上面的变量个数有4个，测试用例传入变量名称后，会依序4次使用变量的数据，执行4次测试用例\n def test001(self,\"变量参数名称\")\n assert 变量名称\n\n\"\"\"",
"step... | [
0,
1
] |
'''
@author: Victor Barrera Burgos
Created on 09 Feb 2014
Description: This script permits the obtention of the
methylation profile of a CpGRegion indicating the
methylation status of each CpG dinucleotide.
Addition on 02 March 2014
Description: permits the obtention of the
methylation profile of the whole genome usi... | normal | {
"blob_id": "67509ce426fd572b22d5059d98e5439e87cdc591",
"index": 4541,
"step-1": "'''\n@author: Victor Barrera Burgos\nCreated on 09 Feb 2014\nDescription: This script permits the obtention of the\nmethylation profile of a CpGRegion indicating the \nmethylation status of each CpG dinucleotide.\n\nAddition on 02 ... | [
0
] |
<|reserved_special_token_0|>
class DevelopmentConfig(Config):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class ProductionConfig(Config):
"""Production Config that extends the Base Config Object"""
DEBUG = False
<|reserved_special_token_1|>
<|reserve... | flexible | {
"blob_id": "833923c1928862e13c24904f5614927a683b168f",
"index": 611,
"step-1": "<mask token>\n\n\nclass DevelopmentConfig(Config):\n <mask token>\n <mask token>\n <mask token>\n\n\nclass ProductionConfig(Config):\n \"\"\"Production Config that extends the Base Config Object\"\"\"\n DEBUG = False\... | [
4,
6,
9,
11
] |
speak = 'speak'
def hacker():
try:
raise speak # go to hacker's except
print 'not reached'
except speak:
print 'Hello world!'
raise speak # go to primate's except
def primate():
try:
hacker()
print 'not reached'
except speak:
... | normal | {
"blob_id": "644d0a0d88f1a051e004d271359dcc3df855bd77",
"index": 9020,
"step-1": "speak = 'speak'\n\ndef hacker():\n try:\n raise speak # go to hacker's except \n print 'not reached'\n except speak:\n print 'Hello world!'\n raise speak # go to primate's... | [
0
] |
def func(i):
if(i % 2 != 0): return False
visited = [0,0,0,0,0,0,0,0,0,0]
temp = i
while(i):
x = i%10
if (visited[x] == 1) or (x == 0): break
visited[x] = 1;
i = (int)(i / 10);
if(i == 0):
for y in str(temp):
if(temp % int(y) != 0): return False
else: return False... | normal | {
"blob_id": "1a8c9be389aad37a36630a962c20a0a36c449bdd",
"index": 3809,
"step-1": "<mask token>\n",
"step-2": "def func(i):\n if i % 2 != 0:\n return False\n visited = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]\n temp = i\n while i:\n x = i % 10\n if visited[x] == 1 or x == 0:\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in json_list:
with open(i) as f:
obj = json.load(f)
f.close()
outfile = open(i, 'w')
outfile.write(json.dumps(obj, indent=4, sort_keys=True))
outfile.close()
<|reserved_special_token_1|>
<|... | flexible | {
"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
] |
from django.db.models import Q
from rest_framework.generics import get_object_or_404
from rest_framework.permissions import BasePermission
from relations.models import Relation
from .. import models
class ConversationAccessPermission(BasePermission):
message = 'You cant see others conversations!'
def has_o... | normal | {
"blob_id": "56b5faf925d9a1bfaef348caeb35a7d3c323d57f",
"index": 8450,
"step-1": "<mask token>\n\n\nclass SendMessagePermission(BasePermission):\n <mask token>\n <mask token>\n\n\nclass MessageOwnerPermission(BasePermission):\n message = 'You cant modify your messages only!'\n\n def has_object_permis... | [
4,
6,
8,
10,
11
] |
import os
basedir = os.path.abspath(os.path.dirname(__file__))
from datetime import datetime
class Config(object):
# ...
SQLALCHEMY_DATABASE_URI = os.environ.get('DATABASE_URL') or \
'postgres' or 'sqlite:///' + os.path.join(basedir, 'app.db')
SQLALCHEMY_TRACK_MODIFICATIONS = False
MONGODB_DB... | normal | {
"blob_id": "118380f58cd173d2de5572a1591766e38ca4a7f8",
"index": 8846,
"step-1": "<mask token>\n\n\nclass Config(object):\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 Config(object):\n SQLALCHEMY_DATABASE_U... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class TestaOrdenador:
@pytest.fixture
def ordenad(self):
return ordenador.Ordenador()
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def test_selecao_bolha_melhorada_aleatoria(self, ordenad, list_aleatoria):
... | flexible | {
"blob_id": "32bb6d5ad0a1398c9ab89190c087fe3916631878",
"index": 7750,
"step-1": "<mask token>\n\n\nclass TestaOrdenador:\n\n @pytest.fixture\n def ordenad(self):\n return ordenador.Ordenador()\n <mask token>\n <mask token>\n <mask token>\n\n def test_selecao_bolha_melhorada_aleatoria(se... | [
5,
6,
8,
9,
11
] |
<|reserved_special_token_0|>
def preProcesar(request):
id_archivo = request.GET.get('id_archivo')
archivo = DataArchivoCargueProcesar.objects.filter(id=id_archivo).last()
valores, columnas = iniPreviw(id_archivo, archivo.
archivocargueprocesararchivo, archivo.
archivocargueprocesararchivot... | flexible | {
"blob_id": "55cf99e3493c9c94955fc7e75ac428cbd88ac5cf",
"index": 2453,
"step-1": "<mask token>\n\n\ndef preProcesar(request):\n id_archivo = request.GET.get('id_archivo')\n archivo = DataArchivoCargueProcesar.objects.filter(id=id_archivo).last()\n valores, columnas = iniPreviw(id_archivo, archivo.\n ... | [
8,
11,
12,
14,
15
] |
<|reserved_special_token_0|>
class Role:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class User(Role):
"""
用户类
玩家
"""
def __init__(self, id, role_id):
self.id = id
self.role_id = role_id
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class R... | flexible | {
"blob_id": "3b5141a86948df6632612f6c9d7fc0089acc60aa",
"index": 5981,
"step-1": "<mask token>\n\n\nclass Role:\n <mask token>\n <mask token>\n\n\nclass User(Role):\n \"\"\"\n 用户类\n 玩家\n \"\"\"\n\n def __init__(self, id, role_id):\n self.id = id\n self.role_id = role_id\n",
"... | [
4,
5,
6,
7,
8
] |
#!/usr/bin/env python
#-*-coding:utf-8-*-
#author:wuya
import os
import xlrd
import json
class Helper(object):
'''公共方法'''
def base_dir(self,filePath,folder='data'):
'''
返回公共路径
:parameter folder:文件夹
:parameter filePath:文件名称
'''
return os.path.join(
os.path.dirn... | normal | {
"blob_id": "7c2349810fc757848eeb5bddef4640d87d5f9ab9",
"index": 2439,
"step-1": "<mask token>\n\n\nclass Helper(object):\n <mask token>\n\n def base_dir(self, filePath, folder='data'):\n \"\"\"\n 返回公共路径\n :parameter folder:文件夹\n :parameter filePath:文件名称\n \"\"\"\n return ... | [
3,
4,
6,
7,
8
] |
#!/usr/bin/python
import pymysql
dbServerName = "127.0.0.1"
dbUser = "root"
dbPassword = "1448"
dbName = "TestDataBase2"
charSet = "utf8mb4"
cusrorType = pymysql.cursors.DictCursor
connectionObject = pymysql.connect(host=dbServerName, user=dbUser, password=dbPassword,
... | normal | {
"blob_id": "1c85ccaacfb47808e9e74f2a18bfe3b309891cf4",
"index": 877,
"step-1": "#!/usr/bin/python\nimport pymysql\n\n\ndbServerName = \"127.0.0.1\"\n\ndbUser = \"root\"\n\ndbPassword = \"1448\"\n\ndbName = \"TestDataBase2\"\n\ncharSet = \"utf8mb4\"\n\ncusrorType = pymysql.... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
m.drawcoastlines()
m.fillcontinents(color='coral', lake_color='aqua')
m.drawparallels(np.arange(-90.0, 91.0, 30.0))
m.drawmeridians(np.arange(-180.0, 181.0, 60.0))
m.drawmapboundary(fill_color='aqua')
plt.title('Cylindrical Equal-... | flexible | {
"blob_id": "f5f9a1c7dcb7345e24f50db54649a1970fc37185",
"index": 1262,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nm.drawcoastlines()\nm.fillcontinents(color='coral', lake_color='aqua')\nm.drawparallels(np.arange(-90.0, 91.0, 30.0))\nm.drawmeridians(np.arange(-180.0, 181.0, 60.0))\nm.drawmapboundary(f... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def mysum(*c):
print(sum([x for x in c]))
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def mysum(*c):
print(sum([x for x in c]))
mysum(1, 2, 3, 4, 11)
<|reserved_special_token_1|>
def mysum(*c):
print(sum([x for x in c]))
m... | flexible | {
"blob_id": "2c4fa92b28fa46a26f21ada8826474baac204e00",
"index": 1234,
"step-1": "<mask token>\n",
"step-2": "def mysum(*c):\n print(sum([x for x in c]))\n\n\n<mask token>\n",
"step-3": "def mysum(*c):\n print(sum([x for x in c]))\n\n\nmysum(1, 2, 3, 4, 11)\n",
"step-4": "def mysum(*c):\n print(su... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def main():
global targets
username, password = get_credentials('laozi')
remote_host = Machine(username, password)
for target in targets:
remote_host.connect(target)
stdin, stdout = remote_host.create_channel(target, input_file)
slb.send_cmd(stdin, ... | flexible | {
"blob_id": "18bc8a8b1cbb544cfbe581e32ee5e509d67beafd",
"index": 1410,
"step-1": "<mask token>\n\n\ndef main():\n global targets\n username, password = get_credentials('laozi')\n remote_host = Machine(username, password)\n for target in targets:\n remote_host.connect(target)\n stdin, st... | [
1,
2,
3,
4,
5
] |
import re
APACHE_ACCESS_LOG_PATTERN = '^(\S+) (\S+) (\S+) \[([\w:/]+\s[+\-]\d{4})\] "(\S+) (\S+)\s*(\S*)" (\d{3}) (\S+)'
pattern = re.compile(APACHE_ACCESS_LOG_PATTERN)
print re.match('ix-sac6-20.ix.netcom.com - - [08/Aug/1995:14:43:39 -0400] "GET / HTTP/1.0 " 200 7131', 0)
| normal | {
"blob_id": "0abba9fdd98d6bb5c706b82a01a267dbcefbba28",
"index": 4562,
"step-1": "import re\nAPACHE_ACCESS_LOG_PATTERN = '^(\\S+) (\\S+) (\\S+) \\[([\\w:/]+\\s[+\\-]\\d{4})\\] \"(\\S+) (\\S+)\\s*(\\S*)\" (\\d{3}) (\\S+)'\npattern = re.compile(APACHE_ACCESS_LOG_PATTERN)\nprint re.match('ix-sac6-20.ix.netcom.com -... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class BoldifyEncryptForm(FlaskForm):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class BoldifyEncryptForm(FlaskForm):
boldMessage = StringF... | flexible | {
"blob_id": "77b43d7d9cd6b912bcee471c564b47d7a7cdd552",
"index": 6227,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass BoldifyEncryptForm(FlaskForm):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass BoldifyEncryptForm(FlaskForm):\n boldMessage = StringField('Bolded... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Solution:
def multiply(self, A: List[List[int]], B: List[List[int]]) ->List[List[int]
]:
... | flexible | {
"blob_id": "8425ee79fcb41799e5edbbab822f93dd40e39d8e",
"index": 6481,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Solution:\n\n def multiply(self, A: List[List[int]], B: List[List[int]]) ->List[List[int]\n ]:\n ... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python3
from collections import OrderedDict
import torch.nn as nn
from fairseq.models import FairseqMultiModel, register_model
from pytorch_translate import common_layers, utils
@register_model("multilingual")
class MultilingualModel(FairseqMultiModel):
"""
To use, you must extend this class ... | normal | {
"blob_id": "0ac471d2cb30a21c1246106ded14cdc4c06d2d40",
"index": 8329,
"step-1": "<mask token>\n\n\n@register_model('multilingual')\nclass MultilingualModel(FairseqMultiModel):\n <mask token>\n\n def __init__(self, task, encoders, decoders):\n super().__init__(encoders, decoders)\n self.task ... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
aes_key = 'eR5ceExL4IpUUY2lqALN7gLXzo11jlXPOwTwFGwOO3h='
| flexible | {
"blob_id": "7112348631bc60767bfb79c7f6966fc9189c522b",
"index": 7901,
"step-1": "<mask token>\n",
"step-2": "aes_key = 'eR5ceExL4IpUUY2lqALN7gLXzo11jlXPOwTwFGwOO3h='\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
/home/salmane/anaconda3/lib/python3.7/_weakrefset.py | normal | {
"blob_id": "05d21a27097cf3295e9328aeafa466973a4d2611",
"index": 5696,
"step-1": "/home/salmane/anaconda3/lib/python3.7/_weakrefset.py",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
} | [
0
] |
import praw
import pickle
import copy
class histogram:
def __init__(self, dictionary=None):
self.frequencies = {}
if dictionary is not None:
self.frequencies = copy.deepcopy(dictionary)
def get_sum(self):
the_sum = 0
for e in self.frequencies:
the_sum +=... | normal | {
"blob_id": "f135d52e4d5e49f96869c4209b84f30ff72f6780",
"index": 876,
"step-1": "import praw\nimport pickle\nimport copy\n\nclass histogram:\n def __init__(self, dictionary=None):\n self.frequencies = {}\n if dictionary is not None:\n self.frequencies = copy.deepcopy(dictionary)\n\n ... | [
0
] |
import glob
import os
import xml.etree.ElementTree as ET
file_dirs = ["train/","test/"]
for file_dir in file_dirs:
fdir = "custom_dataset/" + file_dir
for directory in os.listdir(fdir):
new_location = "/content/gdrive/My Drive/project/custom_dataset/" + file_dir + directory
xml_file... | normal | {
"blob_id": "3a053c2c8a2b9123974183e65914dc0f73d2e078",
"index": 6368,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor file_dir in file_dirs:\n fdir = 'custom_dataset/' + file_dir\n for directory in os.listdir(fdir):\n new_location = ('/content/gdrive/My Drive/project/custom_dataset/' +\n... | [
0,
1,
2,
3,
4
] |
import requests
from datetime import datetime, timedelta
from . import base
class YoutubeVerifier(base.SimpleVerifier):
def __init__(self, channel_id, access_token):
self.channel_id = channel_id
self.access_token = access_token
self.headers = {
'Authorization': 'Bearer {}'.fo... | normal | {
"blob_id": "7ba2377b7d4f8d127cfee63c856d20753da9b7c6",
"index": 4526,
"step-1": "<mask token>\n\n\nclass YoutubeVerifier(base.SimpleVerifier):\n <mask token>\n <mask token>\n\n def get_follower_info(self):\n \"\"\"\n Get follower information from youtube api subscriptions\n\n :rtyp... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
class DisplayString(OctetString):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class DisplayString(OctetString):
subtypeSpec = OctetString.subtypeSpec + ValueSizeConstraint(0, 255)
<|reserved_special_t... | flexible | {
"blob_id": "b16e64edd0ff55a424ce3d4589321ee4576e930c",
"index": 3965,
"step-1": "<mask token>\n\n\nclass DisplayString(OctetString):\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass DisplayString(OctetString):\n subtypeSpec = OctetString.subtypeSpec + ValueSizeConstraint(0, 255)\n... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
SECRET_KEY = (
'django-insecure-usp0sg081f=9+_j95j@-k^sfp+9c*!qrwh-m17%=_9^xot#9fn')
DATABASES = {'default': {'ENGINE': 'django.db.backends.postgresql', 'NAME':
'puka-test', 'USER': 'jeff', 'PASSWORD': '', 'HOST': '127.0.0... | flexible | {
"blob_id": "2432e2b4da8af284055e7edf6e0bd94b7b293f0b",
"index": 8601,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nSECRET_KEY = (\n 'django-insecure-usp0sg081f=9+_j95j@-k^sfp+9c*!qrwh-m17%=_9^xot#9fn')\nDATABASES = {'default': {'ENGINE': 'django.db.backends.postgresql', 'NAME':\n 'puka-test', 'U... | [
0,
1,
2,
3
] |
from pyspark import SparkContext
from pyspark.sql import SQLContext
from pyspark.sql.types import *
sc = SparkContext("local", "weblog app")
effective_care = sc.textFile('file:///data/exercise1/effective_care').map(lambda l:l.encode().split(',')).map(lambda x: (x[0], x[1:]))
procedure_care = effective_care.map(lambda ... | normal | {
"blob_id": "4c60fd123f591bf2a88ca0affe14a3c3ec0d3cf6",
"index": 60,
"step-1": "<mask token>\n\n\ndef range_func(measures):\n scores = []\n for entry in measures:\n try:\n curr = int(entry[1])\n except:\n curr = None\n if curr is not None:\n scores.appe... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class gSmart:
<|reserved_special_token_0|>
def getNextMove(self, b, n):
gt = gameTree(b, n)
return gt.miniMax()
def getAllNextMoves(self, b):
pcs = b.getPieces(b.turn)
nextMoves = []
for p in pcs:
for x in range(8):
... | flexible | {
"blob_id": "7998c4e0ed2bb683f029342554730464f8ac2a09",
"index": 2366,
"step-1": "<mask token>\n\n\nclass gSmart:\n <mask token>\n\n def getNextMove(self, b, n):\n gt = gameTree(b, n)\n return gt.miniMax()\n\n def getAllNextMoves(self, b):\n pcs = b.getPieces(b.turn)\n nextMo... | [
4,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def game(screen, clock):
running = True
time = 0
WHITE = 255, 255, 255
BLUE = 0, 0, 205
upper_border = pygame.Rect(12, 44, 1000, 20)
right_border = pygame.Rect(992, 60, 20, 648)
left_border = pygame.R... | flexible | {
"blob_id": "83815acb0520c1f8186b0b5c69f8597b1b6a552a",
"index": 8051,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef game(screen, clock):\n running = True\n time = 0\n WHITE = 255, 255, 255\n BLUE = 0, 0, 205\n upper_border = pygame.Rect(12, 44, 1000, 20)\n right_border = pygam... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
# @Time : 2021/5/12 2:48 下午
# @Author : shaoguowen
# @Email : shaoguowen@tencent.com
# @FileName: train.py
# @Software: PyCharm
import argparse
from mmcv import Config
import trainers
# 解析传入的参数
parser = argparse.ArgumentParser(description='Train IVQA model')
parser.add_argument('config',... | normal | {
"blob_id": "46e2955756cf1aea902f31685b258ffd14b2e62b",
"index": 5291,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nparser.add_argument('config', help='train config file path')\n<mask token>\nif __name__ == '__main__':\n trainer = getattr(trainers, config.trainer.trainer_name)(config, args.\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def fibonacci(num):
f_1 = 0
f_2 = 1
answer = 0
for i in range(num - 1):
answer = f_1 + f_2
f_1 = f_2
f_2 = answer
return answer
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def fibonacci(num):
... | flexible | {
"blob_id": "c3d0a9bdbfd5b6f2b960ee2c1f11ec4acf508310",
"index": 8458,
"step-1": "<mask token>\n",
"step-2": "def fibonacci(num):\n f_1 = 0\n f_2 = 1\n answer = 0\n for i in range(num - 1):\n answer = f_1 + f_2\n f_1 = f_2\n f_2 = answer\n return answer\n\n\n<mask token>\n",... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def predict(input_text):
URL = 'http://127.0.0.1:8000/api/v1/predict/'
values = {'format': 'json', 'input_text': input_text}
data = urllib.parse.urlencode({'input_text': input_text}).encode('utf-8')
request = url... | flexible | {
"blob_id": "b7632cc7d8fc2f9096f7a6bb61c471dc61689f70",
"index": 8342,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef predict(input_text):\n URL = 'http://127.0.0.1:8000/api/v1/predict/'\n values = {'format': 'json', 'input_text': input_text}\n data = urllib.parse.urlencode({'input_text'... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class SearchForm(Form):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class SearchForm(Form):
criteria = StringField('Texto a buscar')
<|reserved_special_token_1|>
from wt... | flexible | {
"blob_id": "1896f4d5b304915d5cbbb30b0a83854c4a8cc60c",
"index": 7566,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass SearchForm(Form):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass SearchForm(Form):\n criteria = StringField('Texto a buscar')\n",
"step-4": "from wtforms import... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def MoveUp():
"""It computes to the matrix upper side the adjacent elements with the same
value and moves the other elements to the same side if there are empty cells
when the up key is pressed."""
global movement
for j in range(4):
for i in range(3):
... | flexible | {
"blob_id": "ab69f4d6afb96d86381bcf507d7810980446c6ea",
"index": 6407,
"step-1": "<mask token>\n\n\ndef MoveUp():\n \"\"\"It computes to the matrix upper side the adjacent elements with the same\n value and moves the other elements to the same side if there are empty cells\n when the up key is pressed.\... | [
3,
8,
10,
12,
13
] |
cadena = input("Introduzca su cadena: ")
separador = input("Introduzca el separador: ")
print(cadena.replace(" ", separador)) | normal | {
"blob_id": "290b8b4c3aeafc84b1e9cce7e6d2a5e770bd8716",
"index": 3444,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(cadena.replace(' ', separador))\n",
"step-3": "cadena = input('Introduzca su cadena: ')\nseparador = input('Introduzca el separador: ')\nprint(cadena.replace(' ', separador))\n",
... | [
0,
1,
2,
3
] |
# Generated by Django 3.1.7 on 2021-03-28 01:03
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('details', '0002_auto_20210310_1421'),
]
operations = [
migrations.AlterModelOptions(
name='detail',
options={'get_latest_by'... | normal | {
"blob_id": "cdaceb2d8804e08f0b35b9b65f2d06695efad002",
"index": 6470,
"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 = [('details', '... | [
0,
1,
2,
3,
4
] |
from tqdm import tqdm
import fasttext
import codecs
import os
import hashlib
import time
def make_save_folder(prefix="", add_suffix=True) -> str:
"""
1. 現在時刻のハッシュをsuffixにした文字列の生成
2. 生成した文字列のフォルダが無かったら作る
:param prefix:save folderの系統ラベル
:param add_suffix: suffixを付与するかを選ぶフラグ, True: 付与, False: 付与しない
... | normal | {
"blob_id": "14e304f30364932910986f2dda48223b6d4b01c0",
"index": 8372,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef make_save_folder(prefix='', add_suffix=True) ->str:\n \"\"\"\n 1. 現在時刻のハッシュをsuffixにした文字列の生成\n 2. 生成した文字列のフォルダが無かったら作る\n :param prefix:save folderの系統ラベル\n :param add... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class SNSQueueRoute(Route):
def __init__(self, provider_queue, provider_options=None, *args, **kwargs):
provider_options = provider_options or {}
provider = SQSProvider(provider_queue, **provider_options)
kwargs['provider'] = provider
if 'message_trans... | flexible | {
"blob_id": "041f1d7c482fe4f65e8cc5a508da62ee6ccf59ff",
"index": 6686,
"step-1": "<mask token>\n\n\nclass SNSQueueRoute(Route):\n\n def __init__(self, provider_queue, provider_options=None, *args, **kwargs):\n provider_options = provider_options or {}\n provider = SQSProvider(provider_queue, **p... | [
2,
3,
4,
5
] |
# 5. Write a program to implement polymorphism.
class Honda:
def __init__(self, name, color):
self.name = name
self.color = color
def display(self):
print("Honda car name is : ", self.name, " and color is : ", self.color)
class Audi:
def __init__(self, name, color):
sel... | normal | {
"blob_id": "92f59612b2697db155da1bdc625fdabc115867b0",
"index": 9600,
"step-1": "class Honda:\n <mask token>\n <mask token>\n\n\nclass Audi:\n\n def __init__(self, name, color):\n self.name = name\n self.color = color\n\n def display(self):\n print('Audi car name is : ', self.na... | [
4,
6,
7,
8,
9
] |
import unittest
from display import Display
class TestDisplay(unittest.TestCase):
def setUp(self):
self.display = Display(None)
def test_set_pixels(self):
self.display.clear_buffer()
self.display.set_pixel(0, 1, 1)
self.assertEqual(self.display.get_pixel(0, 1), 1, "pixel was n... | normal | {
"blob_id": "75d2dcbb0c131930602e3c1f2cf30c0e4c5e3c42",
"index": 8262,
"step-1": "<mask token>\n\n\nclass TestDisplay(unittest.TestCase):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass TestDisplay(unittest.TestCase):\n\n def setUp(self):\n self.display = Display(None)\n ... | [
1,
2,
3,
4,
5
] |
#Problem available at: https://www.hackerrank.com/challenges/weather-observation-station-6/problem
SELECT DISTINCT CITY from STATION where substr(CITY,1,1) in ('a','e','i','o','u'); | normal | {
"blob_id": "1cba7889370cc7de47bb5cd1eaeadfece056e68a",
"index": 5912,
"step-1": "#Problem available at: https://www.hackerrank.com/challenges/weather-observation-station-6/problem\nSELECT DISTINCT CITY from STATION where substr(CITY,1,1) in ('a','e','i','o','u');",
"step-2": null,
"step-3": null,
"step-4"... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@win.event
def on_draw():
glClear(GL_COLOR_BUFFER_BIT)
glPolygonMode(GL_FRONT_AND_BACK, GL_LINE)
glBegin(GL_TRIANGLES)
glVertex3i(0, 0, 0)
glVertex3i(300, 0, 0)
glVertex3i(0, 300, 0)
glEnd()
pyglet.... | flexible | {
"blob_id": "86c4193ec0fee8a0c06858913ec8153fcf0df6d9",
"index": 4114,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@win.event\ndef on_draw():\n glClear(GL_COLOR_BUFFER_BIT)\n glPolygonMode(GL_FRONT_AND_BACK, GL_LINE)\n glBegin(GL_TRIANGLES)\n glVertex3i(0, 0, 0)\n glVertex3i(300, 0,... | [
0,
2,
3,
4,
5
] |
""" Crie um programa onde o usuario possa digitar sete valores numericos e cadastre-os em uma lisa unicaque mantenha
separados os valores pares e impares. No final, mostre os valores ares e impares em ordem crescente """
n = [[],[]]
for c in range(0,7):
num = int(input(f'Digite o {c+1} valor: '))
res = num % ... | normal | {
"blob_id": "72bbbe78db746febc9a36a676e0fa2d97bf5e81e",
"index": 8849,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor c in range(0, 7):\n num = int(input(f'Digite o {c + 1} valor: '))\n res = num % 2\n if res == 0:\n n[0].append(num)\n else:\n n[1].append(num)\nn[0].sort()\n... | [
0,
1,
2,
3
] |
from flask import render_template, request, current_app
from . import main
from .. import db, cache
from ..models import Content
from ..utils import make_cache_key
import requests
@main.route('/')
def index():
return render_template("templates/index.html")
@main.route('/link')
@cache.cached(key_prefix=make_cach... | normal | {
"blob_id": "c4096cfae7182875a79ba7837187cd94b4379922",
"index": 1100,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@main.route('/link')\n@cache.cached(key_prefix=make_cache_key, timeout=60)\ndef get_link():\n url = request.args.get('url')\n params = {'video': True, 'audio': True, 'screenshot... | [
0,
1,
2,
3,
4
] |
def is_prime(x):
divisor = 2
while divisor <= x**(1/2.0):
if x % divisor == 0:
return False
divisor += 1
return True
for j in range(int(raw_input())):
a, b = map(int, raw_input().split())
count = 0
if a == 2:
a += 1
count += 1
elif... | normal | {
"blob_id": "e3a59a1ae65dd86ff2f5dcc15d4df9e8dc451990",
"index": 8587,
"step-1": "def is_prime(x):\r\n divisor = 2\r\n while divisor <= x**(1/2.0):\r\n if x % divisor == 0:\r\n return False\r\n divisor += 1\r\n return True\r\n\r\nfor j in range(int(raw_input())):\r\n a, b = m... | [
0
] |
<|reserved_special_token_0|>
class OrderForm(forms.Form):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class OrderForm(forms.Form):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
... | flexible | {
"blob_id": "b32784bf398a58ba4b6e86fedcdc3ac9de0e8d51",
"index": 3137,
"step-1": "<mask token>\n\n\nclass OrderForm(forms.Form):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass OrderForm(forms.Form):\n <mask token>\n <mask token>\n\n def clean(self):\n ... | [
1,
2,
3,
4,
5
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Given an input with the following format
# x y yerr
# on standard input, print a fit of y = ax+b
# to the data.
import sys, string
from math import sqrt
def cP(X, Yerr):
sum = 0
for i in range(len(X)):
sum = sum + (X[i]*X[i])/(Yerr[i]*Yerr[i])
return sum
def cQ(Y... | normal | {
"blob_id": "e78504971c51a98eed60ea8032502b6ce1a11f29",
"index": 4206,
"step-1": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\n# Given an input with the following format\n# x y yerr\n# on standard input, print a fit of y = ax+b\n# to the data.\n\nimport sys, string\nfrom math import sqrt\n\ndef cP(X, Yerr):... | [
0
] |
#!/usr/bin/env python3.4
# -*- coding: utf-8 -*-
"""
Das Pong-Spielfeld wird simuliert.
Court moduliert ein anpassbares Spielfeld für Pong mit einem standardmäßigen Seitenverhältnis von 16:9.
Jenes Spielfeld verfügt über einen Ball und zwei Schläger, jeweils links und rechts am Spielfeldrand,
sowie einen Punktestand ... | normal | {
"blob_id": "5485a1210a0c0361dbb000546ee74df725fad913",
"index": 5647,
"step-1": "<mask token>\n\n\nclass court:\n <mask token>\n\n def __init__(self):\n \"\"\"\n Initialisiert ein court-Objekt.\n Hierzu zählen Spielfeld, Spieler sowie die Startposition des Balles.\n\n :return v... | [
20,
21,
23,
26,
29
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def getGC(st):
n = 0
for char in st:
if char == 'C' or char == 'G':
n += 1
return n
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def getGC(st):
n = 0
for char in st:
if char == 'C' or char == '... | flexible | {
"blob_id": "afe63f94c7107cf79e57f695df8543e0786a155f",
"index": 6556,
"step-1": "<mask token>\n",
"step-2": "def getGC(st):\n n = 0\n for char in st:\n if char == 'C' or char == 'G':\n n += 1\n return n\n\n\n<mask token>\n",
"step-3": "def getGC(st):\n n = 0\n for char in st... | [
0,
1,
2
] |
<|reserved_special_token_0|>
def talk(text):
engine.say('heyo' + text)
engine.runAndWait()
def take_command():
try:
with sr.Microphone() as source:
print('listening....')
voice = listener.listen(source)
command = listener.recognize_google(voice)
co... | flexible | {
"blob_id": "f5d353694a719472320f4d6fa28bc9d2cc5a69b0",
"index": 951,
"step-1": "<mask token>\n\n\ndef talk(text):\n engine.say('heyo' + text)\n engine.runAndWait()\n\n\ndef take_command():\n try:\n with sr.Microphone() as source:\n print('listening....')\n voice = listener.... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
def match_regexp(pattern, substring):
if not pattern:
return True
if substring:
if regexp_engine(pattern[0], substring[0]):
return match_regexp(pattern[1:], substring[1:])
return False
<|reserved_special_token_0|>
<|reserved_special_token_1|>
d... | flexible | {
"blob_id": "fbfc1749252cf8cbd9f8f72df268284d3e05d6dc",
"index": 8024,
"step-1": "<mask token>\n\n\ndef match_regexp(pattern, substring):\n if not pattern:\n return True\n if substring:\n if regexp_engine(pattern[0], substring[0]):\n return match_regexp(pattern[1:], substring[1:])\... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def fraz(data):
data_slownie = data[6:8] + '.' + data[4:6] + '.' + data[0:4]
lista_stron = getListFromXML(data)
site = pywikibot.Site('pl', 'wiktionary')
outputPage = pywikibot.Page(site,
'Wikipedysta:Alk... | flexible | {
"blob_id": "2b928dad60bfb0ba863e9039a5462faa885644f3",
"index": 4643,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef fraz(data):\n data_slownie = data[6:8] + '.' + data[4:6] + '.' + data[0:4]\n lista_stron = getListFromXML(data)\n site = pywikibot.Site('pl', 'wiktionary')\n outputPag... | [
0,
1,
2,
3
] |
import matplotlib.pyplot as plt
import pandas as pd
from collections import Counter
import numpy as np
import imdb
import csv
import networkx as nx
from networkx import *
def split_data(data):
df = pd.read_csv(data)
ranks = df.groupby('userId')['timestamp'].rank(method='first')
counts = df['userId'].map(df.... | normal | {
"blob_id": "e3b39c6655fc14efec3b3f95b08bc7b2c036cbdc",
"index": 4117,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef split_data(data):\n df = pd.read_csv(data)\n ranks = df.groupby('userId')['timestamp'].rank(method='first')\n counts = df['userId'].map(df.groupby('userId')['timestamp'].... | [
0,
1,
2,
3,
4
] |
array=list(map(int,input().split(" ")))
nums=list(set(array))
occ=[]
for num in nums:
count=array.count(num)
occ.append((int(num),int(count)))
ans=[]
print(occ)
occ.sort(key=lambda x: x[1],reverse=True)
print(occ)
for number,count in (occ):
for i in range(count):
ans.append(number)
print (ans) | normal | {
"blob_id": "acbe4afee81cb6b9c0b8404d470c3f7f5685477c",
"index": 1700,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor num in nums:\n count = array.count(num)\n occ.append((int(num), int(count)))\n<mask token>\nprint(occ)\nocc.sort(key=lambda x: x[1], reverse=True)\nprint(occ)\nfor number, count... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
@given('I am logged in')
def step_impl(context):
assert context.oauth is not None, ERROR_AUTHORIZATION_FAILED
assert context.oauth.access_token is not None, ERROR_AUTHORIZATION_FAILED
@given('I am not logged in')
def step_impl(context):
context.oauth.access_token = None
<|... | flexible | {
"blob_id": "ef0c9f740f1ca0906aeb7a5c5e5d35baca189310",
"index": 6128,
"step-1": "<mask token>\n\n\n@given('I am logged in')\ndef step_impl(context):\n assert context.oauth is not None, ERROR_AUTHORIZATION_FAILED\n assert context.oauth.access_token is not None, ERROR_AUTHORIZATION_FAILED\n\n\n@given('I am ... | [
9,
10,
12,
15,
17
] |
<|reserved_special_token_0|>
class StringAppend(StringNode):
<|reserved_special_token_0|>
Input('First', str)
Input('Second', str)
Input('Delimiter', str, optional=True, default='')
Output('Joined', str)
<|reserved_special_token_0|>
class ListToString(StringNode):
"""
Creates a new n... | flexible | {
"blob_id": "1bb151171bbbb899456324056be3634e87b5c8fb",
"index": 3494,
"step-1": "<mask token>\n\n\nclass StringAppend(StringNode):\n <mask token>\n Input('First', str)\n Input('Second', str)\n Input('Delimiter', str, optional=True, default='')\n Output('Joined', str)\n <mask token>\n\n\nclass ... | [
4,
5,
6,
8
] |
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