code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
from flask import Flask
from flask import request
from flask import session
from flask import jsonify
from flask import make_response
import mariadb
import datetime
import json
import scad_utils
testing: bool = True
if testing:
fake_datetime = datetime.datetime(2020, 8, 7, 15, 10)
app = Flask(__name__)
app.confi... | normal | {
"blob_id": "ff6b7e2097d78b013f8f5989adee47156579cb9e",
"index": 6226,
"step-1": "<mask token>\n\n\n@app.route('/login', methods=['POST'])\ndef login() ->dict:\n db_connection = db.get_connection()\n db_cursor = db_connection.cursor(named_tuple=True)\n data: dict = request.get_json()\n query: str = (... | [
10,
11,
12,
14,
16
] |
from django.db import models
# Create your models here.
from django.db import models
# Create your models here.
class Project(models.Model):
project_id = models.IntegerField(primary_key=True)
project_name = models.CharField(max_length=50)
project_description = models.CharField(max_length=200, blank=True, ... | normal | {
"blob_id": "2783fc24806c323ab4ac44fbac55eef73142ab80",
"index": 7710,
"step-1": "<mask token>\n\n\nclass Facility(models.Model):\n facility_id = models.IntegerField(primary_key=True)\n facility_name = models.CharField(max_length=50)\n facility_description = models.CharField(max_length=100, blank=True,\... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(
""" <html>
<body>
<p>Generated {0}</p>
</body>
</html>"""
.format(datetime.now()))
<|reserved_special_token_1|>
<|reserved_special_token_0|>
from datetime import datetime
pr... | flexible | {
"blob_id": "e8eac1e4433eee769d317de9ba81d5181168fdca",
"index": 6293,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(\n \"\"\" <html>\n <body>\n <p>Generated {0}</p>\n </body>\n </html>\"\"\"\n .format(datetime.now()))\n",
"step-3": "<mask token>\nfrom da... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
'''
Generate tree search dot file
'''
import copy
# Colors supported by graphviz, in some pleasing order
colors = {
"fa": "brown",
"fb": "brown1",
"ea": "cadetblue",
"eb": "cadetblue1",
"pa": "orange",
"pb": "orange4"
}
curId = 1
capAset = 4
capBset = 7
goal = 2
de... | normal | {
"blob_id": "599da0f045ab5c2b3f568def3d89452b56cac029",
"index": 9083,
"step-1": "#!/usr/bin/env python\n\n'''\n Generate tree search dot file\n'''\nimport copy\n\n# Colors supported by graphviz, in some pleasing order\ncolors = {\n \"fa\": \"brown\",\n \"fb\": \"brown1\",\n \"ea\": \"cadetblue\",\n ... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def game_manager(info_list):
dictionary = {}
for piece_info in info_list:
piece_info = piece_info.split('||')
piece_info[2] = int(piece_info[2])
if piece_info[2] not in dictionary:
dictionary[piece_info[2]] = {(piec... | flexible | {
"blob_id": "a382edb861a43ac3065a781ea996a8d1dd819954",
"index": 6649,
"step-1": "<mask token>\n",
"step-2": "def game_manager(info_list):\n dictionary = {}\n for piece_info in info_list:\n piece_info = piece_info.split('||')\n piece_info[2] = int(piece_info[2])\n if piece_info[2] no... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
@listen_to('(.*)')
def receive_question(message, question_string):
if message._body['channel'] == SLACK_CHANNEL:
try:
query_ccjieba = ccjieba.cut(question_string.strip())
query_unigram = unigram.cut(question_string.strip())
results = post_mu... | flexible | {
"blob_id": "3630f83e7e6a10f42e96f8bd6fa9714232d9176b",
"index": 4552,
"step-1": "<mask token>\n\n\n@listen_to('(.*)')\ndef receive_question(message, question_string):\n if message._body['channel'] == SLACK_CHANNEL:\n try:\n query_ccjieba = ccjieba.cut(question_string.strip())\n q... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
class TestBloomFilter(object):
def test_setup(self):
bf = BloomFilter(1000)
assert 10 == bf._num_hashes
assert 14380 == bf._num_bits
assert 14380 == len(bf._bitarray)
assert 0 == bf._bitarray.count()
bf = BloomFilter(1000, error=0.01)
... | flexible | {
"blob_id": "24e486edc6f80e0b7d58b5df898e6d34f53111c8",
"index": 4389,
"step-1": "<mask token>\n\n\nclass TestBloomFilter(object):\n\n def test_setup(self):\n bf = BloomFilter(1000)\n assert 10 == bf._num_hashes\n assert 14380 == bf._num_bits\n assert 14380 == len(bf._bitarray)\n ... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
class PrinterTkinter:
def __init__(self):
self.root = Tk()
self.root.title('气球发放')
self.runid_to_node = dict()
self.runid_to_uid = dict()
self.runid_to_pid = dict()
self.have_uid_pid = set()
self.unfinished_runid = []
se... | flexible | {
"blob_id": "76e1f811d06af0e6e83ae989a236a5cd22c55e01",
"index": 2985,
"step-1": "<mask token>\n\n\nclass PrinterTkinter:\n\n def __init__(self):\n self.root = Tk()\n self.root.title('气球发放')\n self.runid_to_node = dict()\n self.runid_to_uid = dict()\n self.runid_to_pid = dic... | [
5,
8,
10,
12,
13
] |
<|reserved_special_token_0|>
class NET(nn.Module):
<|reserved_special_token_0|>
def uzunluk(self, x):
x = F.max_pool2d(F.relu(self.conv1(x)), (2, 2))
x = F.max_pool2d(F.relu(self.conv2(x)), (2, 2))
x = F.max_pool2d(F.relu(self.conv3(x)), (2, 2))
if self.boyut is None:
... | flexible | {
"blob_id": "ad63beedc460b3d64a51d0b1f81f8e44cb559749",
"index": 1655,
"step-1": "<mask token>\n\n\nclass NET(nn.Module):\n <mask token>\n\n def uzunluk(self, x):\n x = F.max_pool2d(F.relu(self.conv1(x)), (2, 2))\n x = F.max_pool2d(F.relu(self.conv2(x)), (2, 2))\n x = F.max_pool2d(F.re... | [
3,
4,
5,
6,
7
] |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import datetime
class Migration(migrations.Migration):
dependencies = [
('products', '0007_auto_20150904_1320'),
]
operations = [
migrations.AddField(
model_name='custome... | normal | {
"blob_id": "fd52379d125d6215fe12b6e01aa568949511549d",
"index": 6964,
"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 = [('products', ... | [
0,
1,
2,
3,
4
] |
# import visual_servoing_utils_main as utils
from autolab_core import rigid_transformations as rt
from yumipy import YuMiState
class YumiConstants:
T_gripper_gripperV = rt.RigidTransform(rotation=[[-1, 0, 0], [0, 1, 0], [0, 0, -1]],
from_frame='gripper', to_frame='obj')
... | normal | {
"blob_id": "34c81b9318d978305748d413c869a86ee6709e2c",
"index": 996,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass YumiConstants:\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... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for h in range(11, 41):
for i in range(model_img_array.shape[0]):
for j in range(model_img_array.shape[2]):
dis = np.sqrt(pow(13 - i, 2) + pow(9 - j, 2))
if dis <= 2:
model_img_a... | flexible | {
"blob_id": "f84ab1530cbc6bd25c45fc607d8f1cd461b180bf",
"index": 2089,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor h in range(11, 41):\n for i in range(model_img_array.shape[0]):\n for j in range(model_img_array.shape[2]):\n dis = np.sqrt(pow(13 - i, 2) + pow(9 - j, 2))\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class LogicTests(utils_testcase.TestCase):
def setUp(self):
super(LogicTests, self).setUp()
game_logic.create_test_map()
self.account_1 = self.accounts_factory.create_account()
self.account_1_items = (prototypes.AccountItemsPrototype.
get_b... | flexible | {
"blob_id": "89e5e82c073f7f87c00fc844c861c6c5cbe6a695",
"index": 8893,
"step-1": "<mask token>\n\n\nclass LogicTests(utils_testcase.TestCase):\n\n def setUp(self):\n super(LogicTests, self).setUp()\n game_logic.create_test_map()\n self.account_1 = self.accounts_factory.create_account()\n ... | [
5,
6,
7,
8,
9
] |
class Ball:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Ball:
<|reserved_special_token_0|>
def draw(self):
self.canvas.move(self.id, self.x, self.y)
pos = self.canvas.coords(self.id)
if pos[1] <= ... | flexible | {
"blob_id": "cb1e73d172314c8d3d31f6e49fa67582375c0c58",
"index": 7183,
"step-1": "class Ball:\n <mask token>\n <mask token>\n\n\n<mask token>\n",
"step-2": "class Ball:\n <mask token>\n\n def draw(self):\n self.canvas.move(self.id, self.x, self.y)\n pos = self.canvas.coords(self.id)\n... | [
1,
2,
3,
4,
5
] |
import pytest
from time import sleep
from timeflux.helpers.background import Task
class DummyWorker():
def echo(self, message='hello', delay=0, fail=False):
sleep(delay)
if fail: raise Exception('failed')
self.message = message
return(self.message)
def test_default(working_path):
... | normal | {
"blob_id": "d2e46944ab05c5e8c1979101728b7b25900be342",
"index": 415,
"step-1": "<mask token>\n\n\nclass DummyWorker:\n\n def echo(self, message='hello', delay=0, fail=False):\n sleep(delay)\n if fail:\n raise Exception('failed')\n self.message = message\n return self.me... | [
4,
5,
7,
9,
10
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if __name__ == '__main__':
pygame.init()
fuente = pygame.font.Font(None, 36)
pantalla = pygame.display.set_mode([ANCHO, ALTO])
pantalla.fill(BLANCO)
General = pygame.sprite.Group()
Jugadores = pygame.sprite... | flexible | {
"blob_id": "85fc2fc0a404c20b1f0806412424192ea4a50a9b",
"index": 7085,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n pygame.init()\n fuente = pygame.font.Font(None, 36)\n pantalla = pygame.display.set_mode([ANCHO, ALTO])\n pantalla.fill(BLANCO)\n General = pyg... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def getTeams(reign, uprising, hunters, fuel, mayhem, gladiators, charge,
outlaws, spark, spitfire, excelsior, eternal, fusion, dynasty, shock,
dragons, defiant, valiant, titans, justice):
teamList = discord.Embed(tit... | flexible | {
"blob_id": "9a02e09cbfe2c9b6ebb9d20ba6cea639871f0838",
"index": 7647,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef getTeams(reign, uprising, hunters, fuel, mayhem, gladiators, charge,\n outlaws, spark, spitfire, excelsior, eternal, fusion, dynasty, shock,\n dragons, defiant, valiant, tit... | [
0,
1,
2,
3
] |
import tornado.web
import tornado.escape
from torcms.core.base_handler import BaseHandler
from owslib.csw import CatalogueServiceWeb
from owslib.fes import PropertyIsEqualTo, PropertyIsLike, BBox
class DirectorySearchHandler(BaseHandler):
def initialize(self):
super(DirectorySearchHandler, self).initializ... | normal | {
"blob_id": "72ce7c48c9d1a7bcdbaead12648d03970663a11e",
"index": 3227,
"step-1": "<mask token>\n\n\nclass DirectorySearchHandler(BaseHandler):\n\n def initialize(self):\n super(DirectorySearchHandler, self).initialize()\n <mask token>\n <mask token>\n <mask token>\n\n def ajax_get(self, uui... | [
9,
10,
11,
13,
14
] |
from typing import List
import tensorflow as tf
from tensorflow.keras.layers import Dense
"""Possible agent network structures implemented as Tensorflow Modules"""
class QNetwork:
"""Create the neural network architecture for the DQN agent."""
def __init__(
self,
state_dim: int,
act... | normal | {
"blob_id": "a3e655350fb5fe7999bea4a87fb62c7698fb63f1",
"index": 6663,
"step-1": "<mask token>\n\n\nclass QNetwork:\n <mask token>\n\n def __init__(self, state_dim: int, action_dim: int=3,\n hidden_layer_sizes: List=[128, 256, 256, 128], activation: str='relu'):\n self._state_dim = state_dim\... | [
2,
3,
4,
5,
6
] |
from PIL import Image
from flask_restplus import Namespace, Resource
from werkzeug.datastructures import FileStorage
from core.models.depthinthewild import DepthInTheWild
from core.utils import serve_pil_image
api = Namespace('nyudepth', description='Models Trained on NYUDepth')
upload_parser = api.parser()
upload_pars... | normal | {
"blob_id": "acf409f2e56cd16b7dc07476b49b9c18675f7775",
"index": 5540,
"step-1": "<mask token>\n\n\n@api.route('/depthinthewild/transform')\n@api.expect(upload_parser)\nclass DepthInTheWildDepthTransform(Resource):\n <mask token>\n\n\n@api.route('/depthinthewild/transform_raw')\n@api.expect(upload_parser)\ncl... | [
3,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def check_triads(trio, final_str):
list_occur_zero = [i for i in range(len(final_str)) if final_str.
startswith(trio + '0', i)]
list_occur_one = [i for i in range(len(final_str)) if final_str.
startswith(... | flexible | {
"blob_id": "29304bdbf93b0b1308025db1d35a92346c6dcbe0",
"index": 3799,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef check_triads(trio, final_str):\n list_occur_zero = [i for i in range(len(final_str)) if final_str.\n startswith(trio + '0', i)]\n list_occur_one = [i for i in range(l... | [
0,
1,
2,
3,
5
] |
import cv2 as cv
#! THESE ARE IMAGES THAT AREN'T DOWNSIZED
#original_image_1 = cv.imread("hamburger_face.JPG")
#original_image_2 = cv.imread("hammock_reading.JPG")
#original_image_3 = cv.imread("sofa_face.JPG")
#original_image_4 = cv.imread("frisbee_team.JPG")
original_image_5 = cv.imread("mans_face.JPG")
# ... | normal | {
"blob_id": "d0bd08bea65878f5fccfc4affecdf53cc36179df",
"index": 6633,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor face in detected_faces:\n x, y, w, h = face\n cv.rectangle(original_image_5, (x, y), (x + w, y + h), (0, 255, 0), 2)\ncv.imshow('orig_img', original_image_5)\ncv.waitKey(0)\ncv.... | [
0,
1,
2,
3,
4
] |
import json
import re
from bs4 import BeautifulSoup
from bs4.element import NavigableString, Tag
from common import dir_path
def is_element(el, tag):
return isinstance(el, Tag) and el.name == tag
class ElemIterator():
def __init__(self, els):
self.els = els
self.i = 0
def peek(self):
try:
... | normal | {
"blob_id": "cb08f64d1ad7e53f1041684d4ca4ef65036c138d",
"index": 44,
"step-1": "<mask token>\n\n\ndef is_element(el, tag):\n return isinstance(el, Tag) and el.name == tag\n\n\nclass ElemIterator:\n\n def __init__(self, els):\n self.els = els\n self.i = 0\n\n def peek(self):\n try:\n... | [
10,
12,
14,
15,
16
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
urlpatterns = [url('/home', views.home), url('/about', views.about)]
<|reserved_special_token_1|>
from django.conf.urls import url
from tree import views
urlpatterns = [url('/home', views.home), url('/about', views.about)]
<|... | flexible | {
"blob_id": "3313f01ed98433f4b150c4d8e877ac09eb8403b4",
"index": 5652,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [url('/home', views.home), url('/about', views.about)]\n",
"step-3": "from django.conf.urls import url\nfrom tree import views\nurlpatterns = [url('/home', views.home), ur... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in range(12):
mp = monthlyPaymentRate * rb
rb = rb - mp
rb = rb + rb * monthlyir
print('remaining balance: ', round(rb, 2))
<|reserved_special_token_1|>
balance = 42
annualInterestRate = 0.2
monthlyPaymentRate... | flexible | {
"blob_id": "1429524b0ae3b679bc3d4386dd17ed50b0fff381",
"index": 146,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(12):\n mp = monthlyPaymentRate * rb\n rb = rb - mp\n rb = rb + rb * monthlyir\nprint('remaining balance: ', round(rb, 2))\n",
"step-3": "balance = 42\nannualInter... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
__all__ = ['language']
<|reserved_special_token_0|>
<|reserved_special_token_1|>
__all__ = ['language']
from StringTemplate import *
| flexible | {
"blob_id": "e70c25ce1d61437aacfe7fad0a51e096e1ce4f5d",
"index": 5212,
"step-1": "<mask token>\n",
"step-2": "__all__ = ['language']\n<mask token>\n",
"step-3": "__all__ = ['language']\nfrom StringTemplate import *\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
<|reserved_special_token_0|>
def computeDice(im1, im2):
im1 = np.asarray(im1).astype(np.bool)
im2 = np.asarray(im2).astype(np.bool)
if im1.shape != im2.shape:
raise ValueError(
'Shape mismatch: im1 and im2 must have the same shape.')
intersection = np.logical_and(im1, im2)
dice... | flexible | {
"blob_id": "cb03fcf9c9cb61b3546865fe40cc411745e1fc94",
"index": 6872,
"step-1": "<mask token>\n\n\ndef computeDice(im1, im2):\n im1 = np.asarray(im1).astype(np.bool)\n im2 = np.asarray(im2).astype(np.bool)\n if im1.shape != im2.shape:\n raise ValueError(\n 'Shape mismatch: im1 and im2... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
def test_mat():
model = models.load_metabolic_model('RECON2_mat')
assert isinstance(model, MetabolicModel)
assert len(model.reactions) == 7440
assert len(model.species) == 5063
def test_to_json():
model = models.load_metabolic_model('RECON2.2')
json = model.to_JS... | flexible | {
"blob_id": "863bae04a90143ed942a478c4b71a2269e123bb5",
"index": 2980,
"step-1": "<mask token>\n\n\ndef test_mat():\n model = models.load_metabolic_model('RECON2_mat')\n assert isinstance(model, MetabolicModel)\n assert len(model.reactions) == 7440\n assert len(model.species) == 5063\n\n\ndef test_to... | [
2,
3,
4,
5,
6
] |
from django.apps import AppConfig
class AdminrequestsConfig(AppConfig):
name = 'adminRequests'
| normal | {
"blob_id": "e08b7a96c957895068e584a0564f02c52acd48ec",
"index": 3753,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass AdminrequestsConfig(AppConfig):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass AdminrequestsConfig(AppConfig):\n name = 'adminRequests'\n",
"step-4": "from djan... | [
0,
1,
2,
3
] |
import pandas as pd
import numpy as np
import sys
def avg (x):
return [sum(x[i])/row for i in range(col)]
def sd (x):
return [np.std(x[i]) for i in range(col)]
def cov (x, md_x):
cov_xy=[[0 for r in range(col)] for c in range(col)]
for i in range(col):
for j in range (col):
for k ... | normal | {
"blob_id": "ad3c5ed3d6a9aa83e69f53d3fec845e8e2b1c9c6",
"index": 883,
"step-1": "<mask token>\n\n\ndef avg(x):\n return [(sum(x[i]) / row) for i in range(col)]\n\n\n<mask token>\n\n\ndef cov(x, md_x):\n cov_xy = [[(0) for r in range(col)] for c in range(col)]\n for i in range(col):\n for j in ran... | [
3,
4,
5,
6,
7
] |
############################## Import Modules ##################################
import pandas as pd
import numpy as np
import re
from scipy import stats
import matplotlib.pyplot as plt
############################## Define Functions ################################
# generate list containing data of standard curve
de... | normal | {
"blob_id": "19949b07c866d66b3ef00b6a386bf89f03e06294",
"index": 7984,
"step-1": "<mask token>\n\n\ndef process_std(standard_input_file):\n try:\n with open(standard_input_file, 'r') as in_handle:\n lin_reg_lst = []\n for line in in_handle:\n line = line.strip('\\n'... | [
3,
4,
5,
6,
8
] |
from arnold import config
class TestMicrophone:
def setup_method(self, method):
self.config = config.SENSOR['microphone']
def test_config(self):
required_config = [
'card_number', 'device_index', 'sample_rate', 'phrase_time_limit',
'energy_threshold'
]
... | normal | {
"blob_id": "164167590051fac3f3fd80c5ed82621ba55c4cc4",
"index": 9597,
"step-1": "<mask token>\n\n\nclass TestMicrophone:\n <mask token>\n\n def test_config(self):\n required_config = ['card_number', 'device_index', 'sample_rate',\n 'phrase_time_limit', 'energy_threshold']\n for co... | [
3,
4,
5,
6,
7
] |
def findOrder(numCourses,prerequisites):
d={}
for i in prerequisites:
if i[0] not in d:
d[i[0]]=[i[1]]
if i[1] not in d:
d[i[1]]=[]
else:
d[i[0]].append(i[1])
res=[]
while d:
for i in range(numCourses):
if d[i] == []:
res.append(d[i])
tmp=d[i]
del d[i]
for j in d:
if tmp i... | normal | {
"blob_id": "75b13f4985fcf26fb9f7fb040554b52b13c1806d",
"index": 4848,
"step-1": "def findOrder(numCourses,prerequisites):\n\td={}\n\tfor i in prerequisites:\n\t\tif i[0] not in d:\n\t\t\td[i[0]]=[i[1]]\n\t\t\tif i[1] not in d:\n\t\t\t\td[i[1]]=[]\n\t\telse:\n\t\t\td[i[0]].append(i[1])\n\tres=[]\n\twhile d:\n\t\... | [
0
] |
from colander_validators import (
email,
url)
def test_url():
assert url("ixmat.us") == True
assert url("http://bleh.net") == True
assert type(url("://ixmat.us")) == str
assert type(url("ixmat")) == str
def test_email():
assert email("barney@purpledino.com") == True
assert email("b... | normal | {
"blob_id": "40637c7a5e45d0fe4184478a1be2e08e5040c93b",
"index": 8931,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_email():\n assert email('barney@purpledino.com') == True\n assert email('barney.10.WHATDINO@purple.com') == True\n assert type(email('barney')) == str\n assert ty... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python3
from pexpect import pxssh
import time
s = pxssh.pxssh()
ip = "" #replace ip address
username= "" #replace username
password= "" #replace password
s.login (ip, username, password)
print ("SSH session login successful")
s.sendline ('application stop')
s.prompt() # match the prompt
print("S... | normal | {
"blob_id": "dd9574ea08beb9bc5f1413afd63c751fd42cba67",
"index": 6406,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ns.login(ip, username, password)\nprint('SSH session login successful')\ns.sendline('application stop')\ns.prompt()\nprint('Stopping the app')\nprint(\"\"\"\nStarting the app\"\"\")\ns.sen... | [
0,
1,
2,
3,
4
] |
import datetime
from django.db import models
from django.utils import timezone
class Acoount(models.Model):
first_name = models.CharField("Ім\'я", max_length=50)
last_name = models.CharField('Прізвище', max_length=50)
username = models.CharField('Псевдонім', max_length=50)
email = models.CharField('Е... | normal | {
"blob_id": "18c2fe40b51ad1489d55aa2be068a1c4f381a2a5",
"index": 553,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Acoount(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\n class Meta:\n verbose_name = 'А... | [
0,
1,
2,
4,
5
] |
from django.test import TestCase
from recruitmentapp.apps.core.models import Competence
class CompetenceTest(TestCase):
def setUp(self):
self.competence = Competence.objects.create(name='mining')
self.competence.set_current_language('sv')
self.competence.name = 'gruvarbete'
self.c... | normal | {
"blob_id": "d7b0ff6549d854d21ad1d2d0f5a9e7f75f4ac1d5",
"index": 956,
"step-1": "<mask token>\n\n\nclass CompetenceTest(TestCase):\n <mask token>\n\n def test_translation(self):\n competence = Competence.objects.first()\n self.assertEqual(competence.name, 'mining')\n competence.set_cur... | [
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@login_required
def post_create(request):
"""
This makes sure that the form accpets a POST requests (of some data) or Nothing.
Without this the form would even accept empty data.
"""
form = PostForm(request.POST or ... | flexible | {
"blob_id": "4a2437d3d6ba549910bc30a67bf391b9bbafd25f",
"index": 6210,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@login_required\ndef post_create(request):\n \"\"\"\n\t\tThis makes sure that the form accpets a POST requests (of some data) or Nothing.\n\t\tWithout this the form would even acce... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class SWFRect(object):
def __init__(self, xmin, xmax, ymin, ymax):
self.xmin = xmin
self.xmax = xmax
self.ymin = ymin
self.ymax = ymax
def __str__(self):
return 'SWFRect(' + str(self.xmin) + ',' + str(self.xmax) + ',' + str(
se... | flexible | {
"blob_id": "4556febd5fddf390f370a8e24871eacf08d34c9f",
"index": 7087,
"step-1": "<mask token>\n\n\nclass SWFRect(object):\n\n def __init__(self, xmin, xmax, ymin, ymax):\n self.xmin = xmin\n self.xmax = xmax\n self.ymin = ymin\n self.ymax = ymax\n\n def __str__(self):\n ... | [
17,
18,
20,
22,
24
] |
from collections import Counter
class Solution:
def countStudents(self, students, sandwiches) ->int:
if not students or not sandwiches:
return 0
while students:
top_san = sandwiches[0]
if top_san == students[0]:
students = students[1:]
... | normal | {
"blob_id": "235fce2615e2a5879f455aac9bcecbc2d152679b",
"index": 4548,
"step-1": "<mask token>\n\n\nclass Solution:\n\n def countStudents(self, students, sandwiches) ->int:\n if not students or not sandwiches:\n return 0\n while students:\n top_san = sandwiches[0]\n ... | [
2,
3,
5,
6
] |
# -*- coding: utf-8 -*-
a=float(input('Digite um número:'))
b=(a-(a%1))
c=(a%1)
print('O valor inteiro é %d' %b)
print('O valor decimal é %.6f' %c) | normal | {
"blob_id": "1b09b18926dc95d4c4b3088f45088f12c162ccb3",
"index": 5465,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('O valor inteiro é %d' % b)\nprint('O valor decimal é %.6f' % c)\n",
"step-3": "a = float(input('Digite um número:'))\nb = a - a % 1\nc = a % 1\nprint('O valor inteiro é %d' % b)\... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def validate_url(ch, method, properties, body):
message = json.loads(body)
valid = True
print(f"Got new URL to check: {message['url']}.")
try:
urllib.request.urlopen('https://github.com/' + message['url'])
except urllib.error.HTTPError as e:
if e.code !... | flexible | {
"blob_id": "4a09096abf073294afcf21b1eff9350329d4db33",
"index": 5252,
"step-1": "<mask token>\n\n\ndef validate_url(ch, method, properties, body):\n message = json.loads(body)\n valid = True\n print(f\"Got new URL to check: {message['url']}.\")\n try:\n urllib.request.urlopen('https://github.... | [
1,
2,
3,
4,
5
] |
import os
import location
import teamList
import pandas as pd
import csv
import matplotlib.pyplot as plt
import numpy as np
from scipy import stats
##adapted from code from this website:
## https://towardsdatascience.com/simple-little-tables-with-matplotlib-9780ef5d0bc4
year = "18-19"
team = "ARI"
seasonReportRaw =... | normal | {
"blob_id": "ba7db49ca7956fdc055702ffccba769485fd0046",
"index": 8915,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor row in data:\n cell_text.append([f'{x:1.2f}' for x in row])\n<mask token>\nplt.figure(linewidth=2, edgecolor=fig_border, facecolor=\n fig_background_color, tight_layout={'pad': ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def intersection(set_a, set_b):
res = [i for i in set_a if i in set_b]
return res
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def recursiveUnioniser(set):
if isinstance(set[0], int):
return set
res = []
for i in... | flexible | {
"blob_id": "c632c50028fee2f19fb65458f0b55ec228b8006f",
"index": 2137,
"step-1": "<mask token>\n\n\ndef intersection(set_a, set_b):\n res = [i for i in set_a if i in set_b]\n return res\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef recursiveUnioniser(set):\n if isinstance(set[0], int):\n ... | [
1,
4,
5,
6,
7
] |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2018 foree <foree@foree-pc>
#
# Distributed under terms of the MIT license.
"""
配置logging的基本配置
"""
import logging
import sys
import os
from common.common import get_root_path
FILE_LEVEL = logging.DEBUG
STREAM_LEVEL = logging.WARN
LOG_DIR = ... | normal | {
"blob_id": "96910e9b6861fc9af0db3a3130d898fd1ee3daad",
"index": 3356,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif not os.path.exists(LOG_DIR):\n os.mkdir(LOG_DIR)\nif not os.path.exists(PATH_LOG):\n f = open(PATH_LOG, 'w')\n f.write('')\n f.close()\n<mask token>\nlogger.setLevel(loggin... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
sys.path.insert(0, parentdir)
<|reserved_special_token_0|>
s2.setTitle('二叉树——递归套路')
<|reserved_special_token_0|>
r2.setTitle('二叉树——递归套路')
<|reserved_special_token_0|>
xmind.build(content, r2)
xmind.save(w, os.path.dirname(os.path.... | flexible | {
"blob_id": "b713e38824db13f919484b071fb35afb29e26baa",
"index": 3803,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsys.path.insert(0, parentdir)\n<mask token>\ns2.setTitle('二叉树——递归套路')\n<mask token>\nr2.setTitle('二叉树——递归套路')\n<mask token>\nxmind.build(content, r2)\nxmind.save(w, os.path.dirname(os.pat... | [
0,
1,
2,
3,
4
] |
class Config(object):
DEBUG = False
TESTING = False
class ProductionConfig(Config):
CORS_ALLOWED_ORIGINS = "productionexample.com"
class DevelopmentConfig(Config):
DEBUG = True
CORS_ALLOWED_ORIGINS = "developmentexample.com"
class TestingConfig(Config):
TESTING = True
| normal | {
"blob_id": "b76c868a29b5edd07d0da60b1a13ddb4ac3e2913",
"index": 6988,
"step-1": "<mask token>\n\n\nclass DevelopmentConfig(Config):\n DEBUG = True\n CORS_ALLOWED_ORIGINS = 'developmentexample.com'\n\n\nclass TestingConfig(Config):\n TESTING = True\n",
"step-2": "<mask token>\n\n\nclass ProductionConf... | [
4,
5,
7,
8,
9
] |
<|reserved_special_token_0|>
def augment(components, augmentors, use_o=False):
"""
Augmenting of images.
:param components: components
:return: updated components.
"""
img_path = components[0]
height = components[1]
width = components[2]
center = components[3]
bbox = component... | flexible | {
"blob_id": "e47223622a2718830d830dbb779800659d659ae3",
"index": 8472,
"step-1": "<mask token>\n\n\ndef augment(components, augmentors, use_o=False):\n \"\"\"\n Augmenting of images.\n\n :param components: components\n :return: updated components.\n \"\"\"\n img_path = components[0]\n height... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
class Vintage:
<|reserved_special_token_0|>
def __init__(self, year, month):
self.year, self.month = year, month
self.csv = LocalCSV(year, month)
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_spec... | flexible | {
"blob_id": "e78c4f65d84d5b33debb415005e22f926e14d7d4",
"index": 1203,
"step-1": "<mask token>\n\n\nclass Vintage:\n <mask token>\n\n def __init__(self, year, month):\n self.year, self.month = year, month\n self.csv = LocalCSV(year, month)\n <mask token>\n <mask token>\n <mask token>... | [
9,
13,
14,
15,
19
] |
from django.contrib import admin
from .models import Game, Scrap
admin.site.register(Game)
admin.site.register(Scrap)
| normal | {
"blob_id": "7e328992392a4ff2b0e23920a8907e38f63fcff0",
"index": 7168,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nadmin.site.register(Game)\nadmin.site.register(Scrap)\n",
"step-3": "from django.contrib import admin\nfrom .models import Game, Scrap\nadmin.site.register(Game)\nadmin.site.register(Sc... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class Skeleton:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def __init__(self, nml_path: str=None, parameters: Parameters=None,
strict=True):
""" The Skeleton constructor expects either a path to a nml file or a Parameters object as input argumen... | flexible | {
"blob_id": "365d031a31f3596df6fb71e620c293382d6ead1f",
"index": 2635,
"step-1": "<mask token>\n\n\nclass Skeleton:\n <mask token>\n <mask token>\n\n def __init__(self, nml_path: str=None, parameters: Parameters=None,\n strict=True):\n \"\"\" The Skeleton constructor expects either a path ... | [
25,
43,
44,
46,
50
] |
<|reserved_special_token_0|>
@login_manager.user_loader
def load_user(userid):
try:
return models.user.get(models.User.id == userid)
except models.DoesNotExist:
return None
def initialize():
models.DATABASE.connect()
models.DATABASE.create_tables([models.User], safe=True)
models.... | flexible | {
"blob_id": "849c468e4890c19806c678089ec8668576538b12",
"index": 2717,
"step-1": "<mask token>\n\n\n@login_manager.user_loader\ndef load_user(userid):\n try:\n return models.user.get(models.User.id == userid)\n except models.DoesNotExist:\n return None\n\n\ndef initialize():\n models.DATAB... | [
8,
9,
10,
13,
14
] |
<|reserved_special_token_0|>
def calcSuccess(predictedCounter, randAssault):
vidLabel.pack_forget()
if predictedCounter == 'parry_R':
instructionLabel.config(text='RIGHT PARRY')
if randAssault == 4 or randAssault == 2:
descriptionLabel.config(text="You've successfully parried!")
... | flexible | {
"blob_id": "8cf6a9243182a4f6b68199a8967e06790396dc10",
"index": 5967,
"step-1": "<mask token>\n\n\ndef calcSuccess(predictedCounter, randAssault):\n vidLabel.pack_forget()\n if predictedCounter == 'parry_R':\n instructionLabel.config(text='RIGHT PARRY')\n if randAssault == 4 or randAssault =... | [
3,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
class Folder(models.Model):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class Meta:
verbose_name_plural = 'Folders/Categories'
class Bookmark(models.Model):
name = models.CharField(max_length=200)
url = models.... | flexible | {
"blob_id": "ca3cdbd5d5d30be4f40925366994c3ea9d9b9614",
"index": 3195,
"step-1": "<mask token>\n\n\nclass Folder(models.Model):\n <mask token>\n <mask token>\n <mask token>\n\n\n class Meta:\n verbose_name_plural = 'Folders/Categories'\n\n\nclass Bookmark(models.Model):\n name = models.Char... | [
4,
5,
6,
7,
8
] |
from app01 import models
from rest_framework.views import APIView
# from api.utils.response import BaseResponse
from rest_framework.response import Response
from rest_framework.pagination import PageNumberPagination
from api.serializers.course import DegreeCourseSerializer
# 查询所有学位课程
class DegreeCourseView(APIView):... | normal | {
"blob_id": "2b3f8b1ac4735785683c00f6e6ced85d201de53f",
"index": 8567,
"step-1": "<mask token>\n\n\nclass DegreeCourseDetailView(APIView):\n\n def get(self, request, pk, *args, **kwargs):\n response = {'code': 100, 'data': None, 'error': None}\n try:\n degree_course = models.DegreeCou... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
conn.request('GET', '/teams/statistics?season=2016&team=768&league=4',
headers=headers)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
conn = http.client.HTTPSConnection('v3.football.... | flexible | {
"blob_id": "a6617934c5e6527cf59225a5d159d1ce8a33db50",
"index": 6681,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nconn.request('GET', '/teams/statistics?season=2016&team=768&league=4',\n headers=headers)\n<mask token>\n",
"step-3": "<mask token>\nconn = http.client.HTTPSConnection('v3.football.a... | [
0,
1,
2,
3,
4
] |
n, imp = list(map(int, input().split()))
villagers = {}
peoples = []
susList = set()
for i in range(n):
peeps = set(list(map(int, input().split()))[1:])
# Initialize the set
villagers[i+1] = villagers.get(i+1, set())
for p in peeps:
if i+1 in peeps:
susList.add(i+1)
break... | normal | {
"blob_id": "3eca3066a6c6484257ca17164d35654812a87b80",
"index": 6636,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(n):\n peeps = set(list(map(int, input().split()))[1:])\n villagers[i + 1] = villagers.get(i + 1, set())\n for p in peeps:\n if i + 1 in peeps:\n ... | [
0,
1,
2,
3
] |
"""This is the body of the low-level worker tool.
A worker is intended to run as a process that imports a module, mutates it in
one location with one operator, runs the tests, reports the results, and dies.
"""
import difflib
import importlib
import inspect
import json
import logging
import subprocess
import sys
impo... | normal | {
"blob_id": "73a778c6e4216c23ac8d82eef96ce7b73b18f661",
"index": 9100,
"step-1": "<mask token>\n\n\nclass WorkerOutcome:\n \"\"\"Possible outcomes for a worker.\n \"\"\"\n NORMAL = 'normal'\n EXCEPTION = 'exception'\n NO_TEST = 'no-test'\n TIMEOUT = 'timeout'\n SKIPPED = 'skipped'\n\n\n<mask... | [
3,
5,
6,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in range(a):
d = b * (a - i) + c * (a - (a - i)) + c * (a - (a - i)) + b * (a - i)
print(d)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
a = int(input('numero: '))
b = '*'
c = 'o'
for i in range(a):
... | flexible | {
"blob_id": "155b243ad7d93bcf2b74cd5b2bd3409ab7ec7473",
"index": 8488,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(a):\n d = b * (a - i) + c * (a - (a - i)) + c * (a - (a - i)) + b * (a - i)\n print(d)\n",
"step-3": "<mask token>\na = int(input('numero: '))\nb = '*'\nc = 'o'\nfo... | [
0,
1,
2,
3,
4
] |
A, B = map(int, input().split())
K = (B ** 2 - A ** 2) / (2 * A - 2 * B)
print(int(abs(K))) if K.is_integer() else print('IMPOSSIBLE')
| normal | {
"blob_id": "36a7d3ed28348e56e54ce4bfa937363a64ee718f",
"index": 6981,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(int(abs(K))) if K.is_integer() else print('IMPOSSIBLE')\n",
"step-3": "A, B = map(int, input().split())\nK = (B ** 2 - A ** 2) / (2 * A - 2 * B)\nprint(int(abs(K))) if K.is_intege... | [
0,
1,
2
] |
<|reserved_special_token_0|>
def deps_remote():
for step in INSTALL_STEPS:
run(step)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def deps_local():
for step in INSTALL_STEPS:
local(step)
def deps_remote():
for step in INSTALL_STEPS:
run(step)
<|reserved_specia... | flexible | {
"blob_id": "d64140466e62b78506d0f200f451649023697a3b",
"index": 1386,
"step-1": "<mask token>\n\n\ndef deps_remote():\n for step in INSTALL_STEPS:\n run(step)\n",
"step-2": "<mask token>\n\n\ndef deps_local():\n for step in INSTALL_STEPS:\n local(step)\n\n\ndef deps_remote():\n for step... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in range(N):
x, y = map(int, input().split())
if x * x + y * y <= D2:
ans += 1
print(ans)
<|reserved_special_token_1|>
N, D = map(int, input().split())
ans = 0
D2 = D * D
for i in range(N):
x, y = map(... | flexible | {
"blob_id": "947055d1d6acc50e1722d79ea30e327414cd9c41",
"index": 8523,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(N):\n x, y = map(int, input().split())\n if x * x + y * y <= D2:\n ans += 1\nprint(ans)\n",
"step-3": "N, D = map(int, input().split())\nans = 0\nD2 = D * D\... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def calc_accumulated_indicende_per_ccaa(report, num_days=15):
ccaas = data_sources.get_ccaas_in_dset(report)
dframe = report['dframe']
num_cases = dframe['num_casos']
ccaa_column = data_sources.get_ccaa_column_in_index(num_cases.index)
index = num_cases.index.to_frame(... | flexible | {
"blob_id": "4c5b3042a785342d6ef06fdc882e0dcf91a787c3",
"index": 7816,
"step-1": "<mask token>\n\n\ndef calc_accumulated_indicende_per_ccaa(report, num_days=15):\n ccaas = data_sources.get_ccaas_in_dset(report)\n dframe = report['dframe']\n num_cases = dframe['num_casos']\n ccaa_column = data_sources... | [
4,
9,
10,
11,
13
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Player:
<|reserved_special_token_0|>
def pick_up_item(self, item):
if len(self.items) <= 3:
self.items.append(item)
print(
f"""
NOW YOU HAVE THE {item}!
You can drop it at any time by typing 'dro... | flexible | {
"blob_id": "b355bd5a519d65ea35d4e8d5e6a384424d79130a",
"index": 3620,
"step-1": "<mask token>\n",
"step-2": "class Player:\n <mask token>\n\n def pick_up_item(self, item):\n if len(self.items) <= 3:\n self.items.append(item)\n print(\n f\"\"\"\n\nNOW YOU HAVE ... | [
0,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def send_ty():
DonorName = 'list'
while DonorName == 'list':
DonorName = input(
'"Provide Donor Full Name, or type: "List" to display a list of all donors => '
)
if DonorName.lower().strip() == 'list':
view_donors()
c... | flexible | {
"blob_id": "f2292d1816699392663bdbf7a06c334de3b2022c",
"index": 7118,
"step-1": "<mask token>\n\n\ndef send_ty():\n DonorName = 'list'\n while DonorName == 'list':\n DonorName = input(\n '\"Provide Donor Full Name, or type: \"List\" to display a list of all donors => '\n )\n ... | [
7,
9,
10,
12,
13
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class TeacherForm(forms.Form):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class TeacherForm(forms.Form):
name = forms.CharField(label='You... | flexible | {
"blob_id": "7c5877eea78c3fa8b7928219edd52e2502c16c09",
"index": 6392,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass TeacherForm(forms.Form):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass TeacherForm(forms.Form):\n name = forms.CharField(label='Your Name', max... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def connect(autocommit=False, attrs_before=None):
return pyodbc.connect(CNXNSTR, autocommit=autocommit, attrs_before=
attrs_before)
<|reserved_special_token_0|>
def test_nvarchar(cursor: pyodbc.Cursor):
_test_vartype(cursor, 'nvarchar')
def test_varbinary(cursor: pyo... | flexible | {
"blob_id": "51358ac7d4fc093f8291cfd9f098e3ac3db86cce",
"index": 8282,
"step-1": "<mask token>\n\n\ndef connect(autocommit=False, attrs_before=None):\n return pyodbc.connect(CNXNSTR, autocommit=autocommit, attrs_before=\n attrs_before)\n\n\n<mask token>\n\n\ndef test_nvarchar(cursor: pyodbc.Cursor):\n ... | [
47,
56,
70,
97,
108
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
def merge(self, nums1, m, nums2, n):
"""
Do not return anything, modify nums1 in-place instead.
"""
... | flexible | {
"blob_id": "4f13e2858d9cf469f14026808142886e5c3fcc85",
"index": 28,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n\n\n<mask token>\n",
"step-3": "class Solution:\n\n def merge(self, nums1, m, nums2, n):\n \"\"\"\n Do not return anything, modify nums1 in-place ins... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def vecs2numpy(fname, new_file_name, file_type, file_len=None):
if file_type == 'bvecs':
vectors, dim = vecs_io.bvecs_read_mmap(fname)
elif file_type == 'ivecs':
vectors, dim = vecs_io.ivecs_read_mmap(fname)
elif file_type == 'fvecs':
vectors, dim = vec... | flexible | {
"blob_id": "5f84c8654c976bca2fa33e8f9ba5e28e3249253d",
"index": 7312,
"step-1": "<mask token>\n\n\ndef vecs2numpy(fname, new_file_name, file_type, file_len=None):\n if file_type == 'bvecs':\n vectors, dim = vecs_io.bvecs_read_mmap(fname)\n elif file_type == 'ivecs':\n vectors, dim = vecs_io.... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class A2C_agent(object):
<|reserved_special_token_0|>
def act(self, state):
action_distribution = self.actor_network.forward(state)
action = np.random.choice(self.num_of_actions, p=
action_distribution.detach().numpy())
return action
def m... | flexible | {
"blob_id": "72b086e833ab3ee4ec3102869d74513ef3657675",
"index": 1926,
"step-1": "<mask token>\n\n\nclass A2C_agent(object):\n <mask token>\n\n def act(self, state):\n action_distribution = self.actor_network.forward(state)\n action = np.random.choice(self.num_of_actions, p=\n acti... | [
3,
4,
5,
6,
7
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from nose.tools import *
from json import json
def test_json_basestring():
assert_equals(json("Hello World"), '"Hello World"')
def test_json_integer():
assert_equals(json(9), "9")
def test_json_float():
assert_equals(json(1.234), "1.234")
def test_json... | normal | {
"blob_id": "09ce2aeccfd1f3f4f130fd79001db47485cc95c2",
"index": 9891,
"step-1": "<mask token>\n\n\ndef test_json_float():\n assert_equals(json(1.234), '1.234')\n\n\ndef test_json_array():\n data = [1, 2, 3]\n assert_equals(json(data), '[1,2,3]')\n\n\ndef test_json_array02():\n data = ['bla', 1, 1.2]... | [
12,
13,
19,
22,
24
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
try:
from ez_setup import use_setuptools
use_setuptools()
except ImportError:
pass
<|reserved_special_token_0|>
setup(name='django-defaultsite', version='1.1', packages=find_packages(
'src'), package_dir={'': 'src'... | flexible | {
"blob_id": "5580e5942370c925b759b09675306cdfbc7dd4f1",
"index": 3633,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n from ez_setup import use_setuptools\n use_setuptools()\nexcept ImportError:\n pass\n<mask token>\nsetup(name='django-defaultsite', version='1.1', packages=find_packages(\n... | [
0,
1,
2,
3
] |
#!/usr/bin/env python3
# coding:utf-8
# 改进小红球
class Ball:
def __init__(self, canvas, paddle, color):
self.canvas = canvas
self.paddle = paddle
self.id = canvas.create_oval(10, 10, 25, 25, fill=color)
self.canvas.move(self.id, 245, 100)
starts = [-3, -2, -1, 1, 2, 3]
... | normal | {
"blob_id": "cb1e73d172314c8d3d31f6e49fa67582375c0c58",
"index": 7183,
"step-1": "class Ball:\n <mask token>\n <mask token>\n\n\n<mask token>\n",
"step-2": "class Ball:\n <mask token>\n\n def draw(self):\n self.canvas.move(self.id, self.x, self.y)\n pos = self.canvas.coords(self.id)\n... | [
1,
2,
3,
4,
5
] |
class Solution:
def countBits(self, num: int) -> List[int]:
total = []
for i in range(num + 1):
counter = bin(i).count('1')
# for j in bin(i):
# if j == '1':
# counter += 1
total.append(counter)
return total... | normal | {
"blob_id": "c6554ff18c23a61d3694e73b808f44c96f9a19c4",
"index": 2012,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n",
"step-3": "class Solution:\n\n def countBits(self, num: int) ->List[int]:\n total = []\n for i in range(num + 1):\n counter = bin(i).... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
dependencies = [(... | flexible | {
"blob_id": "b36f3ffed888edaa7716f712f1549dc205799caf",
"index": 6338,
"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 = [('lots', '001... | [
0,
1,
2,
3,
4
] |
y_true = [7, 3, 3, 4, 9, 9, 2, 5, 0, 0, 6, 3, 1, 6, 8, 7, 9, 7, 4, 2, 0, 1,
4, 1, 7, 7, 5, 0, 8, 0, 1, 7, 4, 2, 2, 4, 9, 3, 1, 7, 1, 2, 1, 7, 5, 9,
9, 4, 8, 5, 7, 2, 7, 5, 5, 6, 6, 1, 2, 6, 6, 5, 3, 2, 3, 8, 8, 8, 8, 5,
3, 4, 3, 2, 8, 1, 9, 0, 6, 8, 6, 1, 1, 1, 5, 4, 8, 8, 5, 5, 8, 6, 4, 4,
6, 9, 8, 1, ... | normal | {
"blob_id": "593d3221e34c0eef51228082d767d8516ec93ca2",
"index": 8002,
"step-1": "<mask token>\n",
"step-2": "y_true = [7, 3, 3, 4, 9, 9, 2, 5, 0, 0, 6, 3, 1, 6, 8, 7, 9, 7, 4, 2, 0, 1,\n 4, 1, 7, 7, 5, 0, 8, 0, 1, 7, 4, 2, 2, 4, 9, 3, 1, 7, 1, 2, 1, 7, 5, 9,\n 9, 4, 8, 5, 7, 2, 7, 5, 5, 6, 6, 1, 2, 6, 6... | [
0,
1
] |
# -*- coding: utf-8 -*-
# @COPYRIGHT_begin
#
# Copyright [2015] Michał Szczygieł, M4GiK Software
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0... | normal | {
"blob_id": "9f2105d188ac32a9eef31b21065e9bda13a02995",
"index": 6735,
"step-1": "<mask token>\n\n\n@register.inclusion_tag('tags/fieldsetForm.html')\ndef show_fieldsetform(form):\n \"\"\"\n Renders given form without marking required fields.\n @param form:\n @return:\n \"\"\"\n return {'form':... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def _get_single_variable(self, name, shape=None, dtype=dtypes.float32,
initializer=None, regularizer=None, partition_info=None, reuse=None,
trainable=True, collections=None, caching_device=None, validate_shape=
True, use_resource=None):
"""Get... | flexible | {
"blob_id": "51ef1c0f6a17e12b2324a80f962b2ce47cc05bcc",
"index": 1348,
"step-1": "<mask token>\n",
"step-2": "def _get_single_variable(self, name, shape=None, dtype=dtypes.float32,\n initializer=None, regularizer=None, partition_info=None, reuse=None,\n trainable=True, collections=None, caching_device=No... | [
0,
1,
2
] |
from ethereum.abi import (
decode_abi,
normalize_name as normalize_abi_method_name,
method_id as get_abi_method_id)
from ethereum.utils import encode_int, zpad, decode_hex
import json
import time
from web3 import Web3, HTTPProvider, TestRPCProvider
from solc import compile_source
from web3.contract import ... | normal | {
"blob_id": "6437cb90ebaed7cf59df780062ebccf77fcef084",
"index": 4123,
"step-1": "<mask token>\n\n\ndef decode_contract_call(contract_abi: list, call_data: str):\n call_data_bin = decode_hex(call_data)\n method_signature = call_data_bin[:4]\n for description in contract_abi:\n if description.get(... | [
1,
2,
3,
4,
5
] |
import cv2 #imports cv2 package
import numpy as np #imports numpy package
import matplotlib.pyplot as plt #imports matplotlib.pyplot package
img_noblur = cv2.imread('road8.jpg') #reads the image
imgnew = img_noblur.copy() #creates a copy of the image
img_noblur_grey = cv2.cvtColor(img_noblu... | normal | {
"blob_id": "7b4f46f6c286a7d0ef45079b2fd238b81d5f89eb",
"index": 3493,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor x in range(0, len(lines)):\n for x1, y1, x2, y2 in lines[x]:\n cv2.line(imgnew, (x1, y1), (x2, y2), (0, 255, 0), 5)\n<mask token>\nplt.subplot(131), plt.imshow(img_noblur, c... | [
0,
1,
2,
3,
4
] |
#rules used for pattern matching
# #1. x='[abc]' either a,b or c
#eg:
# import re
# x="[abc]"
# matcher=re.finditer(x,"abt cq5kz")
# for match in matcher:
# print(match.start())
# print(match.group())
#2. x='[^abc]' except abc
#eg:
# import re
# x="[^abc]"
# matcher=re.finditer(x,"abt cq5kz")
# for match in ... | normal | {
"blob_id": "1ddc261cf174c109583fd0ead1f537673d29090a",
"index": 1433,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor match in matcher:\n print(match.start())\n print(match.group())\n",
"step-3": "<mask token>\nx = '[a-zA-Z]'\nmatcher = re.finditer(x, 'abtABIkz')\nfor match in matcher:\n p... | [
0,
1,
2,
3,
4
] |
from django.shortcuts import render, redirect
from django.contrib import messages
from .models import *
from django.views.decorators.csrf import csrf_exempt
def index(request):
notes = Note.objects.all().order_by('-created_at')
context = {
"notes" : notes
}
return render(request, 'notes/index.h... | normal | {
"blob_id": "e983db4b99e73929c02eb84fab1ee56138048052",
"index": 8221,
"step-1": "<mask token>\n\n\ndef index(request):\n notes = Note.objects.all().order_by('-created_at')\n context = {'notes': notes}\n return render(request, 'notes/index.html', context)\n\n\ndef add(request):\n if request.method ==... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
class QuantModelMetricsResource(MetricsResource):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class MlModelMetricsResource(MetricsResource):
"""
This resource handles the HTTP requests coming to the endpoint
"/ml_model/m... | flexible | {
"blob_id": "1431a0049c05a99e0b68052f56bf8e2e3c48e1aa",
"index": 622,
"step-1": "<mask token>\n\n\nclass QuantModelMetricsResource(MetricsResource):\n <mask token>\n <mask token>\n <mask token>\n\n\nclass MlModelMetricsResource(MetricsResource):\n \"\"\"\n This resource handles the HTTP requests c... | [
16,
19,
23,
25,
26
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def classFactory(iface):
from .tilemapscaleplugin import TileMapScalePlugin
return TileMapScalePlugin(iface)
<|reserved_special_token_1|>
# -*- coding: utf-8 -*-
"""
/**************************************************... | flexible | {
"blob_id": "f2e2ebd5b848cf3a01b7304e5e194beb3eec1c10",
"index": 1214,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef classFactory(iface):\n from .tilemapscaleplugin import TileMapScalePlugin\n return TileMapScalePlugin(iface)\n",
"step-3": "# -*- coding: utf-8 -*-\n\"\"\"\n/*************... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class ClusterTestCase(unittest.TestCase):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class ClusterTestCase(unittest.TestCase):
def test_cluster(self):
n = 10
experiments, outcomes = ut... | flexible | {
"blob_id": "a7e2b016131dfdb75e537e86875e1b2f19fb3d9d",
"index": 2580,
"step-1": "<mask token>\n\n\nclass ClusterTestCase(unittest.TestCase):\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass ClusterTestCase(unittest.TestCase):\n\n def test_cluster(self):\n n = 10\n ex... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def print_usage():
sys.stderr.write(
"""
Find the length of the biggest line in the file.
Usage: ./biggestLine <delimiter> <field number - first element is 0> <file path>
"""
)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_specia... | flexible | {
"blob_id": "c84175edb88f5b9219c22ec717ec30bb530982a2",
"index": 2861,
"step-1": "<mask token>\n\n\ndef print_usage():\n sys.stderr.write(\n \"\"\"\nFind the length of the biggest line in the file.\nUsage: ./biggestLine <delimiter> <field number - first element is 0> <file path>\n \"\"\"\n ... | [
1,
2,
3,
4,
5
] |
from nose.tools import assert_equal
def rec_coin(target, coins):
'''
INPUT: Target change amount and list of coin values
OUTPUT: Minimum coins needed to make change
Note, this solution is not optimized.
'''
# Default to target value
min_coins = target
# Check to see if we have a sin... | normal | {
"blob_id": "f8c30f8ccd1b901fd750a2c9e14cab78e1d12a14",
"index": 4039,
"step-1": "<mask token>\n\n\ndef rec_coin(target, coins):\n \"\"\"\n INPUT: Target change amount and list of coin values\n OUTPUT: Minimum coins needed to make change\n\n Note, this solution is not optimized.\n \"\"\"\n min_... | [
4,
6,
7,
8,
9
] |
N = int(input("Max value N? "))
s = set()
for i in range(2, N + 1):
s.add(i)
for num in sorted(s):
k = num + num
while k <= N:
if k in s:
s.remove(k)
k += num
print("Primes:", end = " ")
for num in sorted(s):
print(num, end = " ")
| normal | {
"blob_id": "bf5422792533f85967a5573d9e6f370a7967a914",
"index": 120,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(2, N + 1):\n s.add(i)\nfor num in sorted(s):\n k = num + num\n while k <= N:\n if k in s:\n s.remove(k)\n k += num\nprint('Primes:', end=' ... | [
0,
1,
2,
3
] |
"""
These are data input download and prep scripts. They download and massage the data for the UBM calculations (calc.py)
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import time
import urllib
try:
# For Python 3.0 and later
import urllib.request
except ImportError:
... | normal | {
"blob_id": "afb09f9d5860994f38e8553b19e7ebc339cc2df6",
"index": 8785,
"step-1": "<mask token>\n\n\ndef get_file_list(save_path, wld='*.105*.hdf'):\n \"\"\"\n\n Args:\n save_path: path to folder where raw MODIS files are\n wld: common wildcard in all of the raw MODIS files\n\n Returns:\n ... | [
6,
11,
12,
13,
16
] |
"""
题目描述
HZ偶尔会拿些专业问题来忽悠那些非计算机专业的同学。
今天测试组开完会后,他又发话了:在古老的一维模式识别中,
常常需要计算连续子向量的最大和,当向量全为正数的时候,问题很好解决。
但是,如果向量中包含负数,是否应该包含某个负数,并期望旁边的正数会弥补它呢？
例如:{6,-3,-2,7,-15,1,2,2},连续子向量的最大和为8(从第0个开始,到第3个为止)。
给一个数组，返回它的最大连续子序列的和，你会不会被他忽悠住？(子向量的长度至少是1)
"""
# -*- coding:utf-8 -*-
class Solution:
def FindGreatestSumOfSubArray(self, ar... | normal | {
"blob_id": "fcca845b60b050fa5dd0a3c50b3c36c154022f07",
"index": 1467,
"step-1": "<mask token>\n\n\nclass Solution:\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n\n def FindGreatestSumOfSubArray(self, array):\n dp = [array[0]]\n res = array[0]\n f... | [
1,
2,
3,
4,
5
] |
"""Splits the google speech commands into train, validation and test sets.
"""
import os
import shutil
import argparse
def move_files(src_folder, to_folder, list_file):
with open(list_file) as f:
for line in f.readlines():
line = line.rstrip()
dirname = os.path.dirname(line)
... | normal | {
"blob_id": "6b2fc94d9a53b8f669cab5e1fb625dd01e20ba98",
"index": 664,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef move_files(src_folder, to_folder, list_file):\n with open(list_file) as f:\n for line in f.readlines():\n line = line.rstrip()\n dirname = os.path.d... | [
0,
1,
2,
3,
4
] |
"""
Package for django_static_template.
"""
| normal | {
"blob_id": "818623621b609d67f8f657be4ade6e3bb86a0bc5",
"index": 4226,
"step-1": "<mask token>\n",
"step-2": "\"\"\"\r\nPackage for django_static_template.\r\n\"\"\"\r\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def check(data):
global ss
global s
for line in data:
s += int(line)
if ss.get(s, False):
return s
ss[s] = True
return None
<|reserved_special_token_0|>
<|reserved_special_... | flexible | {
"blob_id": "7e1dd242c60ee12dfc4130e379fa35ae626a4d63",
"index": 5217,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef check(data):\n global ss\n global s\n for line in data:\n s += int(line)\n if ss.get(s, False):\n return s\n ss[s] = True\n return None... | [
0,
1,
2,
3,
4
] |
from turtle import *
while True:
n=input("Right or left? ")
if n == 'right':
right(60)
forward(100)
elif n == 'left':
left(60)
forward(100)
| normal | {
"blob_id": "6f698196e9391d73bd99cda0a098a5bf7a3832ff",
"index": 963,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile True:\n n = input('Right or left? ')\n if n == 'right':\n right(60)\n forward(100)\n elif n == 'left':\n left(60)\n forward(100)\n",
"step-3": ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class MyConnection(Connection):
<|reserved_special_token_0|>
def get_none1(self):
"""No return type is specified."""
pass
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|rese... | flexible | {
"blob_id": "82c3419679a93c7640eae48b543aca75f5ff086d",
"index": 4880,
"step-1": "<mask token>\n\n\nclass MyConnection(Connection):\n <mask token>\n\n def get_none1(self):\n \"\"\"No return type is specified.\"\"\"\n pass\n <mask token>\n <mask token>\n <mask token>\n <mask token>... | [
19,
20,
21,
37,
39
] |
<|reserved_special_token_0|>
class PG_Agent(object):
def __init__(self, env, policy: torch.nn.modules.container.Sequential,
learning_rate: float, n_policy: int, n_episode: int, max_timesteps: int
) ->None:
super().__init__()
self.env = env
self.policy = policy
self... | flexible | {
"blob_id": "b2cfd397e48213a540608fc232db2eab282935bb",
"index": 1481,
"step-1": "<mask token>\n\n\nclass PG_Agent(object):\n\n def __init__(self, env, policy: torch.nn.modules.container.Sequential,\n learning_rate: float, n_policy: int, n_episode: int, max_timesteps: int\n ) ->None:\n su... | [
6,
7,
8,
10,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class BmExam(db.Model):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|... | flexible | {
"blob_id": "6be2cc99d03596715d76cda41d63b8c91c829498",
"index": 2211,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass BmExam(db.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask toke... | [
0,
1,
2,
3,
4
] |
"""Utilties to access a column and one field of a column if the column is composite."""
from typing import TYPE_CHECKING, Optional
from greenplumpython.db import Database
from greenplumpython.expr import Expr
from greenplumpython.type import DataType
if TYPE_CHECKING:
from greenplumpython.dataframe import DataFra... | normal | {
"blob_id": "a52edeec62a6849bda7e5a5481fb6e3d7d9a4c6a",
"index": 8571,
"step-1": "<mask token>\n\n\nclass Column(Expr):\n \"\"\"\n Inherited from :class:`~expr.Expr`.\n\n Representation of a Python object :class:`~col.Column`.\n \"\"\"\n\n def __init__(self, name: str, dataframe: 'DataFrame') ->No... | [
6,
9,
10,
12,
13
] |
from ED63RDScenarioHelper import *
def main():
SetCodePage("ms932")
CreateScenaFile(
FileName = 'C2219 ._SN',
MapName = 'Ruan',
Location = 'C2219.x',
MapIndex = 84,
MapDefaultBGM = "ed60015",
Flags ... | normal | {
"blob_id": "55c2bf914a77c573d1b6835f54c82921d9fa6ad6",
"index": 1010,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n SetCodePage('ms932')\n CreateScenaFile(FileName='C2219 ._SN', MapName='Ruan', Location=\n 'C2219.x', MapIndex=84, MapDefaultBGM='ed60015', Flags=0,\n ... | [
0,
1,
2,
3,
4
] |
import torch.utils.data
import torch
import math
from util.helpers import *
from collections import defaultdict as ddict
class _Collate:
def __init__(self, ):
pass
def collate(self, batch):
return torch.squeeze(torch.from_numpy(np.array(batch)))
class PR:
dataset = None
eval_data = N... | normal | {
"blob_id": "606a6e7ecc58ecbb11aa53602599e671514bc537",
"index": 3890,
"step-1": "<mask token>\n\n\nclass PR:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def init(self, d... | [
7,
8,
9,
11,
14
] |
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