code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
from __future__ import annotations
import pytest
from pytest import param
import ibis
import ibis.expr.datatypes as dt
from ibis.backends.base.sql.alchemy.geospatial import geospatial_supported
DB_TYPES = [
# Exact numbers
("BIGINT", dt.int64),
("BIT", dt.boolean),
("DECIMAL", dt.Decimal(precision=18... | normal | {
"blob_id": "00e9872136e5753364117adbf60793e660c8bef0",
"index": 485,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@pytest.mark.parametrize(('server_type', 'expected_type'), DB_TYPES + [\n param('GEOMETRY', dt.geometry, marks=[skipif_no_geospatial_deps]),\n param('GEOGRAPHY', dt.geography, ma... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def run():
"""Runs all of the tests"""
subsuite_list = []
for _, modname, _ in pkgutil.iter_modules(test.__path__):
if modname.startswith('test_'):
module = importlib.import_module('test.' + modna... | flexible | {
"blob_id": "9a7908212bf13565109cd4d9ab6de65909bc6910",
"index": 3606,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef run():\n \"\"\"Runs all of the tests\"\"\"\n subsuite_list = []\n for _, modname, _ in pkgutil.iter_modules(test.__path__):\n if modname.startswith('test_'):\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(tf.__version__)
<|reserved_special_token_0|>
ninapro.splitImagesLabels()
print('ninapro.TrainImages shape: ', ninapro.TrainImages.shape)
print('ninapro.TrainLabels shape: ', ninapro.TrainLabels.shape)
print('ninapro.TestImag... | flexible | {
"blob_id": "30aa8405ccf64ce8a05204f3f9fa2ffab436ad3b",
"index": 1578,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(tf.__version__)\n<mask token>\nninapro.splitImagesLabels()\nprint('ninapro.TrainImages shape: ', ninapro.TrainImages.shape)\nprint('ninapro.TrainLabels shape: ', ninapro.TrainLabels... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def count(a, b):
a = int(a)
b = int(b)
if a == 0 and b == 0:
return 0
elif a == 0 and b == 1:
return 1
elif a == 1 and b == 0:
return 2
elif a == 1 and b == 1:
return 3
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<... | flexible | {
"blob_id": "55977a673bb36900e1d797cb9ec330ce6d9aa717",
"index": 8232,
"step-1": "<mask token>\n\n\ndef count(a, b):\n a = int(a)\n b = int(b)\n if a == 0 and b == 0:\n return 0\n elif a == 0 and b == 1:\n return 1\n elif a == 1 and b == 0:\n return 2\n elif a == 1 and b ==... | [
1,
2,
3,
4,
5
] |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.1 on 2016-11-21 00:43
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('analysis', '0018_relatorioquedadeconsumo_justificado'),
]
operations = [
mi... | normal | {
"blob_id": "a58949d25a719dc9ce0626948ab0397814e9ea0e",
"index": 1574,
"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 = [('analysis', ... | [
0,
1,
2,
3,
4
] |
from time import perf_counter_ns
from anthony.utility.distance import compare, compare_info
from icecream import ic
start = perf_counter_ns()
ic(compare("tranpsosed", "transposed"))
print(f"Example Time: {(perf_counter_ns() - start)/1e+9} Seconds")
ic(compare_info("momther", "mother"))
| normal | {
"blob_id": "98b0e42f3ed1a234f63c4d3aa76ceb9fce7c041d",
"index": 3631,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nic(compare('tranpsosed', 'transposed'))\nprint(f'Example Time: {(perf_counter_ns() - start) / 1000000000.0} Seconds')\nic(compare_info('momther', 'mother'))\n",
"step-3": "<mask token>... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(last4)
<|reserved_special_token_1|>
card = int(input())
last4 = card % 10000
print(last4)
| flexible | {
"blob_id": "7b920545a0241b30b66ff99f330dbb361f747f13",
"index": 8297,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(last4)\n",
"step-3": "card = int(input())\nlast4 = card % 10000\nprint(last4)\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
<|reserved_special_token_0|>
def data():
(x_train, y_train), (x_test, y_test) = cifar10.load_data()
num_classes = 10
y_train = keras.utils.to_categorical(y_train, num_classes)
y_test = keras.utils.to_categorical(y_test, num_classes)
x_train = np.reshape(x_train, (50000, 3072))
x_test = np.resh... | flexible | {
"blob_id": "cc097b4d2a5a521a0adb83ca1b58470b4ce84f39",
"index": 7143,
"step-1": "<mask token>\n\n\ndef data():\n (x_train, y_train), (x_test, y_test) = cifar10.load_data()\n num_classes = 10\n y_train = keras.utils.to_categorical(y_train, num_classes)\n y_test = keras.utils.to_categorical(y_test, nu... | [
2,
3,
4,
5,
6
] |
field = [['*', '1', '2', '3'], ['1', '-', '-', '-'], ['2', '-', '-', '-'], ['3', '-', '-', '-']]
def show(a):
for i in range(len(a)):
for j in range(len(a[i])):
print(a[i][j], end=' ')
print()
def askUserZero():
while True:
inputX = input('Введите номер строки нолика'... | normal | {
"blob_id": "3f22bf954a8c4608ec4bd4a28bea3679a664a99a",
"index": 2364,
"step-1": "<mask token>\n\n\ndef show(a):\n for i in range(len(a)):\n for j in range(len(a[i])):\n print(a[i][j], end=' ')\n print()\n\n\ndef askUserZero():\n while True:\n inputX = input('Введите номер с... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
time.sleep(1)
<|reserved_special_token_0|>
if len(sys.argv) < 6:
error_str = str(sys.argv[0]
) + ' led1_current led2_current led_stable_time int_time1 int_time2'
print(error_str)
else:
C12880.Setup()
GPIO.s... | flexible | {
"blob_id": "d250cc0aafdd48cb0eb56108d9c7148153cde002",
"index": 6840,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntime.sleep(1)\n<mask token>\nif len(sys.argv) < 6:\n error_str = str(sys.argv[0]\n ) + ' led1_current led2_current led_stable_time int_time1 int_time2'\n print(error_str)\nel... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Metals(str, Enum):
gold = 'gold'
silver = 'silver'
class PriceFilter(BaseModel):
type: PriceSort
price: float
class ProductSearch(BaseModel):
price: Optional[PriceFilter]
metals: Optional[List[Metals]]
size: Optional[Sizes]
<|reserved_special_token_... | flexible | {
"blob_id": "442c6c4894fc01d0f8142f3dcedfd51ba57aedd1",
"index": 3304,
"step-1": "<mask token>\n\n\nclass Metals(str, Enum):\n gold = 'gold'\n silver = 'silver'\n\n\nclass PriceFilter(BaseModel):\n type: PriceSort\n price: float\n\n\nclass ProductSearch(BaseModel):\n price: Optional[PriceFilter]\n... | [
4,
5,
8,
9,
10
] |
<|reserved_special_token_0|>
class Rules:
def __init__(self):
self.ruleCollection = {'1': self.rule1, '2': self.rule2, '3': self.
rule3, '4': self.rule4, '5': self.rule5, '6': self.rule6, '7':
self.rule7, '8': self.rule8, '9': self.rule9, '10': self.rule10}
<|reserved_special_... | flexible | {
"blob_id": "7747cbb1a1ed191b616b0d1bcfd51cdea05067f5",
"index": 5954,
"step-1": "<mask token>\n\n\nclass Rules:\n\n def __init__(self):\n self.ruleCollection = {'1': self.rule1, '2': self.rule2, '3': self.\n rule3, '4': self.rule4, '5': self.rule5, '6': self.rule6, '7':\n self.ru... | [
8,
11,
13,
14,
17
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def test_search_track():
sp = Spotify()
t = sp.search_track('avocado')
assert_equal(t.id, '1UyzA43l3OIcJ6jd3hh3ac')
<|reserved_special_token_1|>
<|reserved_special_token_0|>
from spoetify.spotify import Spotify
fr... | flexible | {
"blob_id": "337309da79ce9d90010fef5c171b6b344e6dc63f",
"index": 5937,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_search_track():\n sp = Spotify()\n t = sp.search_track('avocado')\n assert_equal(t.id, '1UyzA43l3OIcJ6jd3hh3ac')\n",
"step-3": "<mask token>\nfrom spoetify.spotify... | [
0,
1,
2,
3
] |
# Packages
import PySimpleGUI as sg
import mysql.connector
import secrets
# TODO Add a view all button
# TODO Catch errors (specifically for TimeDate mismatches)
# TODO Add a downtime graph
# TODO Add a system feedback window instead of putting this in the out id textbox
error_sel_flag = False # Flag to check whether... | normal | {
"blob_id": "8fb5ef7244a8ca057f11cbcdf42d383665dade5e",
"index": 6884,
"step-1": "# Packages\nimport PySimpleGUI as sg\nimport mysql.connector\nimport secrets\n\n# TODO Add a view all button\n# TODO Catch errors (specifically for TimeDate mismatches)\n# TODO Add a downtime graph\n# TODO Add a system feedback win... | [
0
] |
<|reserved_special_token_0|>
class KV11Z7(Kinetis):
<|reserved_special_token_0|>
def __init__(self, session):
super(KV11Z7, self).__init__(session, self.MEMORY_MAP)
self._svd_location = SVDFile.from_builtin('MKV11Z7.svd')
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class KV... | flexible | {
"blob_id": "58aa72588357b18ab42391dfffbf2a1b66589edd",
"index": 552,
"step-1": "<mask token>\n\n\nclass KV11Z7(Kinetis):\n <mask token>\n\n def __init__(self, session):\n super(KV11Z7, self).__init__(session, self.MEMORY_MAP)\n self._svd_location = SVDFile.from_builtin('MKV11Z7.svd')\n",
"... | [
2,
3,
4,
5,
6
] |
from qiskit import QuantumCircuit,execute,Aer
from qiskit.visualization import plot_histogram
import matplotlib.pyplot as plt
qc_ha=QuantumCircuit(4,2)
qc_ha.x(0)
qc_ha.x(1)
qc_ha.barrier()
qc_ha.cx(0,2)
qc_ha.cx(1,2)
qc_ha.ccx(0,1,3)
qc_ha.barrier()
qc_ha.measure(2,0)
qc_ha.measure(3,1)
#qc_ha.draw(output='mpl')
coun... | normal | {
"blob_id": "02381f28ef20aa0c2c235ef6563e1810a5931e35",
"index": 5556,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nqc_ha.x(0)\nqc_ha.x(1)\nqc_ha.barrier()\nqc_ha.cx(0, 2)\nqc_ha.cx(1, 2)\nqc_ha.ccx(0, 1, 3)\nqc_ha.barrier()\nqc_ha.measure(2, 0)\nqc_ha.measure(3, 1)\n<mask token>\nplot_histogram(counts... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class AnnotController:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class AnnotController:
def get_annotations(self, project, page_index):
page = project.doc[page_i... | flexible | {
"blob_id": "6ca2a9040897e49c6407b9b0760240fec93b4df0",
"index": 3067,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass AnnotController:\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass AnnotController:\n\n def get_annotations(self, project, page_index):\n page = project.doc[p... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def barStdNormal(bars, timeperiod=5):
"""Std Normal """
close = bars['close']
result = close.rolling(timeperiod).apply(std_normalized)
return result
<|reserved_special_token_1|>
import pandas as pd
import nump... | flexible | {
"blob_id": "6fa0e1dabd178507c32c62146b404bb42f8445d4",
"index": 9860,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef barStdNormal(bars, timeperiod=5):\n \"\"\"Std Normal \"\"\"\n close = bars['close']\n result = close.rolling(timeperiod).apply(std_normalized)\n return result\n",
"s... | [
0,
1,
2,
3
] |
from tkinter import *
import tkinter.messagebox
import apikey
import tinify
class Setting_GUI(Toplevel):
def __init__(self,parent):
super().__init__()
self.parent = parent
key = "Input your key here"
self.keystringvar = StringVar()
self.wm_title("Settings - TingImage")
... | normal | {
"blob_id": "9340c9055a7e0d74d232d878b43d91a3e6cd32e5",
"index": 5785,
"step-1": "<mask token>\n\n\nclass Setting_GUI(Toplevel):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Setting_GUI(Toplevel):\n\n def __init__(self, parent):\n super().__init__()\n self.parent ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def run_task(request, tid):
if request.method == 'GET':
task_obj = TestTask.objects.get(id=tid)
cases_list = task_obj.cases.split(',')
cases_list.pop(-1)
task_obj.status = 1
task_obj.save()
print(cases_list)
all_cases_dict = {}
... | flexible | {
"blob_id": "8be70543a7aa177d9ad48fb736228b1ffba5df16",
"index": 6179,
"step-1": "<mask token>\n\n\ndef run_task(request, tid):\n if request.method == 'GET':\n task_obj = TestTask.objects.get(id=tid)\n cases_list = task_obj.cases.split(',')\n cases_list.pop(-1)\n task_obj.status = ... | [
1,
2,
3,
4,
5
] |
from proxmin import nmf
from proxmin.utils import Traceback
from proxmin import operators as po
from scipy.optimize import linear_sum_assignment
import numpy as np
import matplotlib.pyplot as plt
import time
from functools import partial
# initialize and run NMF
import logging
logging.basicConfig()
logger ... | normal | {
"blob_id": "0edc0c2f86bda0122d4b231eed700d7a5b08ec1e",
"index": 8279,
"step-1": "<mask token>\n\n\ndef generateComponent(m):\n \"\"\"Creates oscillating components to be mixed\"\"\"\n freq = 25 * np.random.random()\n phase = 2 * np.pi * np.random.random()\n x = np.arange(m)\n return np.cos(x / fr... | [
3,
4,
6,
7,
8
] |
from flask import Flask, jsonify, abort, make_response
from matchtype import matchtyper
from db import db_handle
import sys
api = Flask(__name__)
@api.route('/get/<key_name>', methods=['GET'])
def get(key_name):
li = db_handle(key_name)
if li[1] is None:
abort(404)
else:
result = matchtype... | normal | {
"blob_id": "44e9fd355bfab3f007c5428e8a5f0930c4011646",
"index": 3853,
"step-1": "<mask token>\n\n\n@api.route('/get/<key_name>', methods=['GET'])\ndef get(key_name):\n li = db_handle(key_name)\n if li[1] is None:\n abort(404)\n else:\n result = matchtyper(li)\n return make_response... | [
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class HaakePhoenix(ToolWindow):
<|reserved_special_token_0|>
def __init__(self, *args, **wargs):
self.indicators = {}
super().__init__(*args, **wargs)
def init_gui(self, *args, **kwargs):
statusgrid = self.builder.get_object('statusgrid')
for ... | flexible | {
"blob_id": "25aa0766505b22588107d44e15c3596e9383d4e9",
"index": 486,
"step-1": "<mask token>\n\n\nclass HaakePhoenix(ToolWindow):\n <mask token>\n\n def __init__(self, *args, **wargs):\n self.indicators = {}\n super().__init__(*args, **wargs)\n\n def init_gui(self, *args, **kwargs):\n ... | [
8,
10,
13,
14,
15
] |
# encoding = utf-8
"""
A flask session memcached store
"""
from datetime import timedelta, datetime
from uuid import uuid4
__author__ = 'zou'
import memcache
import pickle
from flask.sessions import SessionMixin, SessionInterface
from werkzeug.datastructures import CallbackDict
class MemcachedSession(CallbackDict, S... | normal | {
"blob_id": "e4761c925643417f4fe906e8dd2c9356ae970d52",
"index": 3706,
"step-1": "<mask token>\n\n\nclass MemcachedSessionInterface(SessionInterface):\n <mask token>\n <mask token>\n\n def generate_sid(self):\n return str(uuid4())\n\n def get_memcache_expiration_time(self, app, session):\n ... | [
8,
10,
12,
14,
15
] |
def calc_fib(n):
fib_lis = dict()
for i in range(n+1):
if (i <= 1):
fib_lis[i] = i
else:
fib_lis[i] = fib_lis[i-2] + fib_lis[i-1]
return fib_lis[n]
n = int(input())
print(calc_fib(n))
| normal | {
"blob_id": "426b711571d3b5c4f8c7b0bad3a613951902e60b",
"index": 4129,
"step-1": "<mask token>\n",
"step-2": "def calc_fib(n):\n fib_lis = dict()\n for i in range(n + 1):\n if i <= 1:\n fib_lis[i] = i\n else:\n fib_lis[i] = fib_lis[i - 2] + fib_lis[i - 1]\n return f... | [
0,
1,
2,
3,
4
] |
import os, sys, datetime, csv, platform
####FUNCTIONS####
#Get Creation Time
def get_lastupdate_date(path):
return os.path.getmtime(path)
#Get Date From String
def convertIntToTimestamp(timeint):
return str(datetime.datetime.fromtimestamp(timeint))
#Get Filename
def getFilename(name):
return os.path... | normal | {
"blob_id": "e83b6b1f4cb12fe3b932903eddddfb0dc0e7d98d",
"index": 2765,
"step-1": "<mask token>\n\n\ndef get_lastupdate_date(path):\n return os.path.getmtime(path)\n\n\ndef convertIntToTimestamp(timeint):\n return str(datetime.datetime.fromtimestamp(timeint))\n\n\ndef getFilename(name):\n return os.path.... | [
5,
8,
9,
11,
12
] |
<|reserved_special_token_0|>
@nsLinea.route('/<int:id>')
class LineasResource(Resource):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
@nsLinea.route('/baja/<int:id>')
class LineasResource(Resource):
def put(self, id):
if repo.baja(id):
repoLep.baja_by_linea(id)
... | flexible | {
"blob_id": "821e89730fde2e12b24b52b04701c1f3501e0d57",
"index": 8771,
"step-1": "<mask token>\n\n\n@nsLinea.route('/<int:id>')\nclass LineasResource(Resource):\n <mask token>\n <mask token>\n\n\n@nsLinea.route('/baja/<int:id>')\nclass LineasResource(Resource):\n\n def put(self, id):\n if repo.ba... | [
3,
7,
8,
9,
12
] |
#
# tests/middleware/test_static.py
#
import pytest
import growler
from pathlib import Path
from unittest import mock
from sys import version_info
from growler.middleware.static import Static
@pytest.fixture
def static(tmpdir):
return Static(str(tmpdir))
def test_static_fixture(static, tmpdir):
assert isin... | normal | {
"blob_id": "9a7994a1e51c9cf7fe7d8b50ab26fa3d789fc8e5",
"index": 1012,
"step-1": "<mask token>\n\n\n@pytest.fixture\ndef static(tmpdir):\n return Static(str(tmpdir))\n\n\ndef test_static_fixture(static, tmpdir):\n assert isinstance(static, Static)\n assert str(static.path) == str(tmpdir)\n\n\n<mask toke... | [
4,
7,
8,
9,
10
] |
# -*- encoding: utf-8 -*-
##############################################################################
#
# ServerPLM, Open Source Product Lifcycle Management System
# Copyright (C) 2020-2020 Didotech srl (<http://www.didotech.com>). All Rights Reserved
#
# Created on : 2018-03-01
# Author : Fabio ... | normal | {
"blob_id": "06643bf4b1bded757078b0974c21ddec814f5889",
"index": 1762,
"step-1": "<mask token>\n\n\nclass plm_component(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def _insertlog(self, ids, changes={}, note={}):\n ret = False\n op_... | [
20,
34,
38,
44,
49
] |
<|reserved_special_token_0|>
class SimpleControllerHandlerAdapter(HandlerAdapter):
def supports(self, handler: object) ->bool:
return isinstance(handler, Controller)
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Simp... | flexible | {
"blob_id": "71e7a209f928672dbf59054b120eed6a77522dde",
"index": 6246,
"step-1": "<mask token>\n\n\nclass SimpleControllerHandlerAdapter(HandlerAdapter):\n\n def supports(self, handler: object) ->bool:\n return isinstance(handler, Controller)\n <mask token>\n <mask token>\n",
"step-2": "<mask t... | [
2,
3,
4,
5,
6
] |
___author__ = 'acmASCIS'
'''
by ahani at {9/24/2016}
'''
import time
class Freq(object):
def __init__(self, array):
self.__array = array
self.__frequency_dict = {}
self.__array_length = len(array)
self.__running_time = round(time.time() * 1000)
def get_original_array(sel... | normal | {
"blob_id": "b569f0a0dda048d6337e1028a240caabf188a174",
"index": 9420,
"step-1": "<mask token>\n\n\nclass Freq(object):\n\n def __init__(self, array):\n self.__array = array\n self.__frequency_dict = {}\n self.__array_length = len(array)\n self.__running_time = round(time.time() * ... | [
3,
5,
6,
7,
10
] |
#!/usr/bin/env python
"""\
Simple g-code streaming script for grbl
"""
import serial
import time
import csv
import json
import RPi.GPIO as GPIO
from multiprocessing import Process, Queue
class motion():
def __init__(self):
# Open grbl serial port
#self.s = serial.Serial("/dev/ttyUSB0",baudrate=115... | normal | {
"blob_id": "ac2d4372f8913ea9ae1066833cca09985e521f99",
"index": 383,
"step-1": "#!/usr/bin/env python\n\"\"\"\\\nSimple g-code streaming script for grbl\n\"\"\"\n \nimport serial\nimport time\nimport csv\nimport json\nimport RPi.GPIO as GPIO\nfrom multiprocessing import Process, Queue\nclass motion():\n def ... | [
0
] |
#!/usr/bin/env python
from math import *
import numpy as np
import matplotlib.pyplot as plt
import Input as para
data = np.loadtxt("eff-proton.dat")
#data = np.loadtxt("eff-electron.dat")
show_time = data[0]
show_eff = data[1]
#print show_turn, show_eff
#x_lower_limit = min(show_time)
#x_upper_limit = max(show_time)... | normal | {
"blob_id": "bee96e817dd4d9462c1e3f8eb525c22c2117140a",
"index": 9942,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nplt.figure()\nplt.xlabel('Time (ms)', fontsize=30)\nplt.ylabel('Capture rate (%)', fontsize=30)\nplt.xticks(fontsize=25)\nplt.yticks(fontsize=25)\nplt.xlim(x_lower_limit, x_upper_limit)\n... | [
0,
1,
2,
3,
4
] |
import json
from examtool.api.database import get_exam, get_roster
from examtool.api.extract_questions import extract_questions
from examtool.api.scramble import scramble
from google.cloud import firestore
import warnings
warnings.filterwarnings("ignore", "Your application has authenticated using end user credentials"... | normal | {
"blob_id": "b74c759b51fb6591477757e2ff54b545f225991c",
"index": 7470,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwarnings.filterwarnings('ignore',\n 'Your application has authenticated using end user credentials')\n<mask token>\nfor exam in exams:\n print('checking', exam)\n exam_json = jso... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
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, ... | flexible | {
"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
] |
class SensorReadings:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class SensorReadings:
<|reserved_special_token_0|>
def printReadings(self):
print('temperature from humidity sensor: ... | flexible | {
"blob_id": "f680503488a2780624b28e49b045aad75506d8c5",
"index": 3248,
"step-1": "class SensorReadings:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "class SensorReadings:\n <mask token>\n\n def printReadings(self):\n print('temperature from humidity sensor... | [
1,
2,
3,
4,
6
] |
<|reserved_special_token_0|>
def logined(func):
def wrapper(request, *args, **kwargs):
session = request.session.get('user')
if not session:
return render(request, 'login.html')
else:
return func(request, *args, **kwargs)
return wrapper
def api_check(func):
... | flexible | {
"blob_id": "eeb87891d1a02484a61537745ec6f13387017929",
"index": 705,
"step-1": "<mask token>\n\n\ndef logined(func):\n\n def wrapper(request, *args, **kwargs):\n session = request.session.get('user')\n if not session:\n return render(request, 'login.html')\n else:\n ... | [
9,
10,
12,
13,
14
] |
import os
import logging
from datetime import datetime
import torch
from naruto_skills.training_checker import TrainingChecker
from data_for_train import is_question as my_dataset
from model_def.lstm_attention import LSTMAttention
from utils import pytorch_utils
from train.new_trainer import TrainingLoop, TrainingLog... | normal | {
"blob_id": "77884dd72f5efe91fccad27e6328c4ad34378be2",
"index": 6953,
"step-1": "<mask token>\n\n\ndef target2_text(first_input, *params):\n return first_input\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef input2_text(first_input, *params):\n return my_dataset.voc.idx2docs(first_input)\n\n\ndef... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def get_data(inputloc, tablename='data'):
data = spark.read.csv(inputloc, schema=schema)
data.createOrReplaceTempView(tablename)
return data
<|reserved_special_token_0|>
def resolved_max(df):
df_max = df.groupBy('station').agg({'date': 'max'}).select(functions.
... | flexible | {
"blob_id": "3852ff2f3f4ac889256bd5f4e36a86d483857cef",
"index": 6534,
"step-1": "<mask token>\n\n\ndef get_data(inputloc, tablename='data'):\n data = spark.read.csv(inputloc, schema=schema)\n data.createOrReplaceTempView(tablename)\n return data\n\n\n<mask token>\n\n\ndef resolved_max(df):\n df_max ... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
with open('words.txt') as words_fh:
lexicon = set(list(map(lambda x: x.strip().lower(), words_fh.readlines())))
<|reserved_special_token_0|>
print(sorted_valid_words)
<|reserved_special_token_1|>
with open('words.txt') as words_fh:
lexicon = set(li... | flexible | {
"blob_id": "aacd5d671090c3305a53d62c3c6c25d4c033f42d",
"index": 6420,
"step-1": "<mask token>\n",
"step-2": "with open('words.txt') as words_fh:\n lexicon = set(list(map(lambda x: x.strip().lower(), words_fh.readlines())))\n<mask token>\nprint(sorted_valid_words)\n",
"step-3": "with open('words.txt') as ... | [
0,
1,
2,
3
] |
#This program sorts the files on Desktop on the basis of file extension and move them in separate folders in Documents folder.
desktop_directory="/home/vineeth/Desktop/" #LINUX
destination_folder="/home/vineeth/Documents/" #LINUX
#desktop_directory="C:/Users/VINEETH/Desktop/" #Windows
#destination_folder="C:/Users/VI... | normal | {
"blob_id": "805b64a7bd727a88081a6ead574fff9b1542070f",
"index": 2023,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor eachfile in os.listdir(desktop_directory):\n if os.path.isfile(desktop_directory + eachfile):\n fileName, fileExtension = os.path.splitext(eachfile)\n if all(fileExte... | [
0,
1,
2,
3,
4
] |
# coding: UTF-8
from PIL import ImageFont,Image,ImageDraw
def min_element(table_d,ignoring_index = None):
min_i,min_j,min_e = 0,0,max(table_d.values())
for key in table_d.keys():
# ignore if i in key or j in key
if ignoring_index is not None:
i,j = key
if i in ignoring_index or j in ignoring_i... | normal | {
"blob_id": "aee009b37b99bf44e27c608470c43834a58e0cc7",
"index": 8490,
"step-1": "<mask token>\n\n\ndef to_dict(table):\n table_d = dict()\n for i in range(len(table)):\n for j in range(i):\n table_d[i, j] = table[i][j]\n table_d[j, i] = table[i][j]\n return table_d\n\n\ndef... | [
3,
4,
5,
6,
7
] |
# -*- coding: utf-8 -*-
"""
app definition
"""
from django.apps import AppConfig
class CoopHtmlEditorAppConfig(AppConfig):
name = 'coop_html_editor'
verbose_name = "Html Editor"
| normal | {
"blob_id": "641cbe2f35925d070249820a2e3a4f1cdd1cf642",
"index": 8697,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass CoopHtmlEditorAppConfig(AppConfig):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass CoopHtmlEditorAppConfig(AppConfig):\n name = 'coop_html_edito... | [
0,
1,
2,
3,
4
] |
def twenty():
pass
| normal | {
"blob_id": "3727c4413cd69305c8ee8d02f4532629da7d25de",
"index": 7135,
"step-1": "<mask token>\n",
"step-2": "def twenty():\n pass\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
from django.conf.urls import patterns, include, url
from django.views.generic import TemplateView
from . import views
app_name = 'produce'
urlpatterns = [
# Inbound SMS view:
url(r'^sms/$', views.sms, name='sms'),
# List and Detail Views:
url(r'^list/', views.SeasonalView.as_view(), name='list'),
url(r'^(?P<pk... | normal | {
"blob_id": "f7d0d7dda955acd07b6da010d21dc5f02254e1ed",
"index": 5821,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napp_name = 'produce'\nurlpatterns = [url('^sms/$', views.sms, name='sms'), url('^list/', views.\n SeasonalView.as_view(), name='list'), url('^(?P<pk>[0-9]+)/$', views.\n ProduceDeta... | [
0,
1,
2,
3
] |
file_id = '0BwwA4oUTeiV1UVNwOHItT0xfa2M'
request = drive_service.files().get_media(fileId=file_id)
fh = io.BytesIO()
downloader = MediaIoBaseDownload(fh, request)
done = False
while done is False:
status, done = downloader.next_chunk()
print "Download %d%%." % int(status.progress() * 100)
| normal | {
"blob_id": "6b3f634f3f0108e678d44ef9c89150f9fd116f76",
"index": 9471,
"step-1": "file_id = '0BwwA4oUTeiV1UVNwOHItT0xfa2M'\nrequest = drive_service.files().get_media(fileId=file_id)\nfh = io.BytesIO()\ndownloader = MediaIoBaseDownload(fh, request)\ndone = False\nwhile done is False:\n status, done = downloade... | [
0
] |
# Copyright (C) 2010 Google Inc. All rights reserved.
# Copyright (C) 2010 Gabor Rapcsanyi (rgabor@inf.u-szeged.hu), University of Szeged
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of so... | normal | {
"blob_id": "08b57c00beb8dfedfee1bc032b8c281d7a151931",
"index": 8033,
"step-1": "<mask token>\n\n\nclass Manager(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, port, options, printer):\n \"\"\"Initializes test runner data struc... | [
14,
20,
25,
31,
33
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
while a != b:
if a > b:
a -= b
else:
b -= a
print(a)
print('---')
<|reserved_special_token_0|>
while number < 100:
x = number
a = 3 * x + 23
b = 3 * x - 17
while a != b:
if a > b:
... | flexible | {
"blob_id": "181e9ac4acf0e69576716f3589359736bfbd9bef",
"index": 2380,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile a != b:\n if a > b:\n a -= b\n else:\n b -= a\nprint(a)\nprint('---')\n<mask token>\nwhile number < 100:\n x = number\n a = 3 * x + 23\n b = 3 * x - 17\... | [
0,
1,
2,
3
] |
'''
Created on 13 Dec 2016
@author: hpcosta
'''
# https://www.hackerrank.com/challenges/backreferences-to-failed-groups
regex = r"^\d{2}(-?)\d{2}\1\d{2}\1\d{2}$" # Do not delete 'r'.
import re
print(str(bool(re.search(regex, raw_input()))).lower())
# Task
#
# You have a test string S.
# Your task is to write... | normal | {
"blob_id": "e884ce5878de75afe93085e2310b4b8d5953963a",
"index": 337,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(str(bool(re.search(regex, raw_input()))).lower())\n",
"step-3": "<mask token>\nregex = '^\\\\d{2}(-?)\\\\d{2}\\\\1\\\\d{2}\\\\1\\\\d{2}$'\n<mask token>\nprint(str(bool(re.search(re... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
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.
"""
min_coins = target
if target in coins:
return 1
else:
for i in [c for... | flexible | {
"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
] |
from django.test import TestCase
# Create your tests here.
import pymongo
client = pymongo.MongoClient(host='127.0.0.1', port=27017)
db = client.NBA_china_spider
collection = db.data
data = [title for title in collection.find()]
print(data[0]['url'])
| normal | {
"blob_id": "52ebe80e2d520bf07b21dc668223348002eb6d42",
"index": 2790,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(data[0]['url'])\n",
"step-3": "<mask token>\nclient = pymongo.MongoClient(host='127.0.0.1', port=27017)\ndb = client.NBA_china_spider\ncollection = db.data\ndata = [title for titl... | [
0,
1,
2,
3,
4
] |
from LinkedList import LinkedList
from LinkedListHelper import CreateLinkedList
class LinkedListMod(LinkedList):
def remove_allnode(self):
while self.head:
temp = self.head
self.head = self.head.next
del temp
def main():
l1 = LinkedListMod()
CreateLinkedList(l1)
... | normal | {
"blob_id": "45b20b57a3579c2527c674d0c2af88eedddadcae",
"index": 3724,
"step-1": "<mask token>\n\n\nclass LinkedListMod(LinkedList):\n\n def remove_allnode(self):\n while self.head:\n temp = self.head\n self.head = self.head.next\n del temp\n\n\n<mask token>\n",
"step... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
try:
import Tkinter as tk
from urllib2 import urlopen
except ImportError:
import tkinter as tk
from urllib.request import urlopen
<|reserved_special_token_0|>
root.title(sf)
<|reserved_special_token_0|>
label.pack(... | flexible | {
"blob_id": "7764effac0b95ad8f62b91dd470c1d0e40704a7d",
"index": 9705,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n import Tkinter as tk\n from urllib2 import urlopen\nexcept ImportError:\n import tkinter as tk\n from urllib.request import urlopen\n<mask token>\nroot.title(sf)\n<mask... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def a2b_base64(string: _Ascii) ->bytes:
...
<|reserved_special_token_0|>
def a2b_qp(string: _Ascii, header: bool=...) ->bytes:
...
def b2a_qp(data: _Bytes, quotetabs: bool=..., istext: bool=..., header:
bool=...) ->bytes:
...
def a2b_hqx(string: _Ascii) ->bytes:
... | flexible | {
"blob_id": "9ba74c7ecbd20c59883aff4efdc7e0369ff65daf",
"index": 5267,
"step-1": "<mask token>\n\n\ndef a2b_base64(string: _Ascii) ->bytes:\n ...\n\n\n<mask token>\n\n\ndef a2b_qp(string: _Ascii, header: bool=...) ->bytes:\n ...\n\n\ndef b2a_qp(data: _Bytes, quotetabs: bool=..., istext: bool=..., header:\n... | [
13,
15,
16,
17,
19
] |
N,T=map(int,input().split())
nm=1000000
for i in range(N):
c,t=map(int,input().split())
if nm>c and T>=t:
nm=c
if nm==1000000:
print("TLE")
else:
print(nm)
| normal | {
"blob_id": "8a0e781f29c426161240e33b9d2adc7537b3d352",
"index": 2513,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(N):\n c, t = map(int, input().split())\n if nm > c and T >= t:\n nm = c\nif nm == 1000000:\n print('TLE')\nelse:\n print(nm)\n",
"step-3": "N, T = map(... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
__doc__ = """\
A MiniFrame is a Frame with a small title bar. It is suitable for floating
toolbars that must not take up too much screen area. In other respects, it's the
same as a wx.Frame.
"""
__wxPyOnlineDocs__ = 'https://wxpython.org/Phoenix/docs/html/wx.MiniFrame.htm... | normal | {
"blob_id": "b041e9577af72d2bcee3dda0cc78fa12800d53bd",
"index": 2286,
"step-1": "<mask token>\n\n\nclass TestPanel(wx.Panel):\n\n def __init__(self, parent, log):\n self.log = log\n wx.Panel.__init__(self, parent, -1)\n b1 = wx.Button(self, -1, 'Create and Show a MiniFrame', (50, 50))\n ... | [
12,
14,
16,
19,
22
] |
import random
'''
通用文件头，浏览器访问时随机选择
'''
user_agent = [
"Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_8; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50",
"Mozilla/5.0 (Windows; U; Windows NT 6.1; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50",
"Mozilla/5.... | normal | {
"blob_id": "5ed91b98ece3ac9525e9d2c42db9c9d9912d5ed2",
"index": 9029,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef get_user_agent():\n return {'User-Agent': random.choice(user_agent)}\n",
"step-3": "<mask token>\nuser_agent = [\n 'Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_8; en-us... | [
0,
1,
2,
3,
4
] |
from datetime import datetime
from random import seed
from pandas import date_range, DataFrame
import matplotlib.pyplot as plt
from matplotlib import style
from numpy import asarray
import strategy_learner as sl
from util import get_data
style.use('ggplot')
seed(0)
def run_algo(sym, investment, start_date, end_date... | normal | {
"blob_id": "c0f9a1c39ff5d7cc99a16cf00cddcc14705937ba",
"index": 3917,
"step-1": "<mask token>\n\n\ndef run_algo(sym, investment, start_date, end_date, bench_sym):\n learner = sl.StrategyLearner(bench_sym=bench_sym, verbose=verbose)\n learner.add_evidence(symbol=sym, start_date=start_date, end_date=\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def rad_to_deg(rad):
return rad * 180 / PI
def angle_abs_difference(a1, a2):
delta = sims4.math.mod_2pi(a1 - a2)
if delta > sims4.math.PI:
delta = sims4.math.TWO_PI - delta
return delta
<|reserved_special_token_0|>
def vector_dot_2d(a, b):
return a.x * b.... | flexible | {
"blob_id": "a0310b1bab339064c36ff0fe92d275db7a6c5ba9",
"index": 8734,
"step-1": "<mask token>\n\n\ndef rad_to_deg(rad):\n return rad * 180 / PI\n\n\ndef angle_abs_difference(a1, a2):\n delta = sims4.math.mod_2pi(a1 - a2)\n if delta > sims4.math.PI:\n delta = sims4.math.TWO_PI - delta\n return... | [
52,
53,
55,
64,
75
] |
<|reserved_special_token_0|>
class ventaDetalle:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class ventaDetalle:
def __init__(self, pro, pre, cant):
self.producto = pro
self.precio = pre
self.cantidad = cant
<|reserved_special_token_1|... | flexible | {
"blob_id": "f70f66926b9e2bf8b387d481263493d7f4c65397",
"index": 516,
"step-1": "<mask token>\n\n\nclass ventaDetalle:\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass ventaDetalle:\n\n def __init__(self, pro, pre, cant):\n self.producto = pro\n self.precio = pre\n self.cantidad... | [
1,
2,
3,
4,
5
] |
from typing import List
from fastapi import Depends, FastAPI, HTTPException
from sqlalchemy.orm import Session
from myfirstpython.fastapi import models, crud, schemas
from myfirstpython.fastapi.dbconnection import engine, SessionLocal
models.Base.metadata.create_all(bind=engine)
app = FastAPI()
# Dependency
def g... | normal | {
"blob_id": "ad474f5120ca2a8c81b18071ab364e6d6cf9e653",
"index": 7031,
"step-1": "<mask token>\n\n\n@app.get('/jobs/', response_model=List[schemas.Job])\ndef read_jobs(skip: int=0, limit: int=100, db: Session=Depends(get_db)):\n jobs = crud.get_jobs(db, skip=skip, limit=limit)\n return jobs\n\n\n@app.get('... | [
6,
8,
10,
11,
13
] |
import random
from .action import Action
from ..transition.step import Step
from ..value.estimators import ValueEstimator
def greedy(steps: [Step], actions: [Action], value_estimator: ValueEstimator) -> int:
estimations = [value_estimator(steps, action) for action in actions]
return actions[estimations.index... | normal | {
"blob_id": "eab45dafd0366af8ab904eb33719b86777ba3d65",
"index": 2925,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef e_greedy(steps: [Step], actions: [Action], value_estimator:\n ValueEstimator, e: float) ->int:\n return random.sample(actions, 1) if random.uniform(0, 1) < e else greedy(\n ... | [
0,
1,
2,
3,
4
] |
from sys import exit
def hard():
print("Nice! Let's try something harder")
print("Could you calculate this for me?")
print("4 * 35 + 18 / 2 = ")
aws = input(">")
while True:
if aws == "176":
print("Nice, you correctly answer all the questions")
exit(0)
els... | normal | {
"blob_id": "5d05351cd6cd6c0d216e8bc09308532605bfd26e",
"index": 3007,
"step-1": "<mask token>\n\n\ndef easy():\n print('Ok, seems like you are not good at math.')\n print('What about this.')\n print('Say you have 10 apples, your Mom gave you another 2.')\n print('How many apples you have now?')\n ... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
def word_freq_improved_summarize(text):
sen = text.split('.')
small = [s.lower() for s in sen]
punc_free = []
for p in small:
punc_free.extend(token.tokenize(p))
stop_words = set(stopwords.words('english'))
words = []
for x in punc_free:
if x no... | flexible | {
"blob_id": "aed6e1966d9e4ce7250ae3cacaf8854cab4b590c",
"index": 3513,
"step-1": "<mask token>\n\n\ndef word_freq_improved_summarize(text):\n sen = text.split('.')\n small = [s.lower() for s in sen]\n punc_free = []\n for p in small:\n punc_free.extend(token.tokenize(p))\n stop_words = set(... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def draw_text(text, font_u, color, surface, x, y):
text_object = font_u.render(text, color)
textrect = text_object[1]
textrect.topleft = x, y
surface.blit(text_object[0], textrect)
<|reserved_special_token_0|>
def draw_controls():
pygame.draw.rect(screen, (255, 255... | flexible | {
"blob_id": "d00fa29c502cc0311c54deb657b37c3c3caac7ca",
"index": 3755,
"step-1": "<mask token>\n\n\ndef draw_text(text, font_u, color, surface, x, y):\n text_object = font_u.render(text, color)\n textrect = text_object[1]\n textrect.topleft = x, y\n surface.blit(text_object[0], textrect)\n\n\n<mask t... | [
6,
10,
11,
12,
13
] |
<|reserved_special_token_0|>
def main():
website = input('Enter the website you want to download file from: ')
div = input('Enter the div/span (be as specific as you can): ')
classTag = input('Enter the class/id tag you want to extract link from: ')
className = input('Enter the class/id name: ')
s... | flexible | {
"blob_id": "a61f351391ca1b18359323fd9e49f1efa4c7513c",
"index": 4007,
"step-1": "<mask token>\n\n\ndef main():\n website = input('Enter the website you want to download file from: ')\n div = input('Enter the div/span (be as specific as you can): ')\n classTag = input('Enter the class/id tag you want to... | [
1,
2,
3,
4,
5
] |
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 8 17:14:14 2018
@author: Winry
"""
import pandas as pd
# 显示所有的列
pd.set_option('display.max_columns', None)
# 读取数据
file_name = "data_11_8.csv"
file_open = open(file_name)
df = pd.read_csv(file_open)
file_open.close()
Newtaxiout_time = df['Newtaxiout_time']
time = df['t... | normal | {
"blob_id": "f5a474cdc8aa22322b252b980c0334a9db21bd5c",
"index": 9300,
"step-1": "<mask token>\n",
"step-2": "<mask token>\npd.set_option('display.max_columns', None)\n<mask token>\nfile_open.close()\n<mask token>\nfor i in range(len(df)):\n count = []\n count = df2['Newappend1'][(df2['Newappend1'] > New... | [
0,
1,
2,
3,
4
] |
# coding: utf-8
num = int(input())
str = input().split()
table = [int(i) for i in str]
list.sort(table)
print(table[num-1] - table[0]) | normal | {
"blob_id": "d853964d424e628d6331b27123ad045f8d945dc0",
"index": 4026,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nlist.sort(table)\nprint(table[num - 1] - table[0])\n",
"step-3": "num = int(input())\nstr = input().split()\ntable = [int(i) for i in str]\nlist.sort(table)\nprint(table[num - 1] - tabl... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def matriz_laplaciana(N, t=np.single):
e = np.eye(N) - np.eye(N, N, 1)
return t(e + e.T)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def matriz_laplaciana(N, t=np.single):
e = np.eye(N) - np.eye(N, N, 1)
return t(e + e.T)
... | flexible | {
"blob_id": "86345702bcd423bc31e29b1d28aa9c438629297d",
"index": 7331,
"step-1": "<mask token>\n\n\ndef matriz_laplaciana(N, t=np.single):\n e = np.eye(N) - np.eye(N, N, 1)\n return t(e + e.T)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef matriz_laplaciana(N, t=np.single):\n e = np.eye(N) - n... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class D3D12_Resource_Mapping_Zoo(rdtest.TestCase):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def check_capture(self):
if not self.controller.GetAPIProperties().shaderDebugging:
rdtest.log.success('Shader debugging not enabled, skipping test... | flexible | {
"blob_id": "565888d771f53934805555390e48d4886a43bdb6",
"index": 189,
"step-1": "<mask token>\n\n\nclass D3D12_Resource_Mapping_Zoo(rdtest.TestCase):\n <mask token>\n <mask token>\n\n def check_capture(self):\n if not self.controller.GetAPIProperties().shaderDebugging:\n rdtest.log.suc... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
def eval_results(time_stamps: Union[Tuple, List], excel_file_path=os.path.
join(FULL_PATH_TO_CHECKPOINTS, f'xVal_results.xlsx')):
with pd.ExcelWriter(excel_file_path, mode='w') as writer:
for ts in time_stamps:
print(f'Evaluating results for time stamp: {ts}')
... | flexible | {
"blob_id": "5447bd3b08c22913ae50ee66ee81554d2357ef3e",
"index": 3991,
"step-1": "<mask token>\n\n\ndef eval_results(time_stamps: Union[Tuple, List], excel_file_path=os.path.\n join(FULL_PATH_TO_CHECKPOINTS, f'xVal_results.xlsx')):\n with pd.ExcelWriter(excel_file_path, mode='w') as writer:\n for ts... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def ge_gen_in(flm_params, textured_rndr, norm_map, normal_map_cond,
texture_cond):
if normal_map_cond and texture_cond:
return torch.cat((textured_rndr, norm_map), dim=1)
elif normal_map_cond:
return norm_map
elif texture_cond:
return textured_rndr
... | flexible | {
"blob_id": "d0991d8ea47379a0c1de836b5d215c99166ad049",
"index": 5936,
"step-1": "<mask token>\n\n\ndef ge_gen_in(flm_params, textured_rndr, norm_map, normal_map_cond,\n texture_cond):\n if normal_map_cond and texture_cond:\n return torch.cat((textured_rndr, norm_map), dim=1)\n elif normal_map_co... | [
2,
3,
4,
5,
6
] |
#python的运算符实例
#'+'加号
# 俩个对象相加(可以是俩个数字，也可以是俩个字符串(将俩个字符串连接))
a=7+8
print(a)
b="GOOD"+"Job"
print(b)
#'-'减号
#取一个数字的相反数或者实现俩个数字相减
c=-7
print(c)
print(19-1)
#'*'乘号
#如果是数字则进行乘法运算，字符串则复制若干次
d=4*7
print(d)
e="hello"*7
print(e)
#'/'除号
#表示俩个数字相除(Python 3.0中会直接输出正确的值)
f=7/2
print(f)
#'**'求幂运算
g=2**3
print(g)
#'<'小于号 返回一个布尔值
... | normal | {
"blob_id": "d28f5f95b375a1e075fdfcbc0350c90cf96f0212",
"index": 9694,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(a)\n<mask token>\nprint(b)\n<mask token>\nprint(c)\nprint(19 - 1)\n<mask token>\nprint(d)\n<mask token>\nprint(e)\n<mask token>\nprint(f)\n<mask token>\nprint(g)\n<mask token>\nprin... | [
0,
1,
2,
3
] |
import requests
from lxml import etree
from pymongo import MongoClient
from lib.rabbitmq import Rabbit
from lib.log import LogHandler
from lib.proxy_iterator import Proxies
import yaml
import json
import datetime
import re
import time
setting = yaml.load(open('config_local.yaml'))
log = LogHandler('article_consumer')... | normal | {
"blob_id": "cd1d8a73b6958775a212d80b50de74f4b4de18bf",
"index": 6319,
"step-1": "<mask token>\n\n\nclass CrawlerDetail:\n\n def __init__(self):\n self.proxy = Proxies()\n\n def start_consume(self):\n channel = connection.channel()\n channel.queue_declare(queue='usual_article')\n ... | [
4,
5,
6,
8,
9
] |
from flask import Flask
from flask import render_template
# Creates a Flask application called 'app'
app = Flask(__name__, template_folder='C:\Users\jwhitehead\Documents\Webdev\Angular Web App')
# The route to display the HTML template on
@app.route('/')
def host():
return render_template('index.html')
# Run the... | normal | {
"blob_id": "3e1e2de555667bf09162cd6c62cad35dabbd0f54",
"index": 2482,
"step-1": "from flask import Flask\nfrom flask import render_template\n\n# Creates a Flask application called 'app'\napp = Flask(__name__, template_folder='C:\\Users\\jwhitehead\\Documents\\Webdev\\Angular Web App')\n\n# The route to display ... | [
0
] |
# Random number guessing game.
# 10 July 20
# CTI-110 P5HW1 - Random Number
# Thelma Majette
import random
randomNumber = random.randint (1,100)
# main function
def main():
# Create a variable to control the loop.
keep_going = 'y'
while keep_going == 'y':
# Ask user fo... | normal | {
"blob_id": "c09c02a36a64e9522cfc8c0951bd6c98f404f09c",
"index": 367,
"step-1": "<mask token>\n\n\ndef main():\n keep_going = 'y'\n while keep_going == 'y':\n guess = int(input('\\nGuess a number between 1 and 100: '))\n if guess > randomNumber:\n print('\\nToo high, try again.')\n... | [
1,
2,
3,
4,
5
] |
from pyspark import SparkContext, SparkConf
import time
# Create a basic configuration
conf = SparkConf().setAppName("myTestCopyApp")
# Create a SparkContext using the configuration
sc = SparkContext(conf=conf)
print("START")
time.sleep(30)
print("END")
| normal | {
"blob_id": "4b773fbf45d15dff27dc7bd51d6636c5f783477b",
"index": 9183,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('START')\ntime.sleep(30)\nprint('END')\n",
"step-3": "<mask token>\nconf = SparkConf().setAppName('myTestCopyApp')\nsc = SparkContext(conf=conf)\nprint('START')\ntime.sleep(30)\np... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def generate_nonce():
return hexencode(os.urandom(32))
<|reserved_special_token_1|>
import os
from CTFd.utils.encoding import hexencode
def generate_nonce():
return hexencode(os.urandom(32))
| flexible | {
"blob_id": "4f91c57ad42759654a87328d5c92de8da14ca5ea",
"index": 2966,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef generate_nonce():\n return hexencode(os.urandom(32))\n",
"step-3": "import os\nfrom CTFd.utils.encoding import hexencode\n\n\ndef generate_nonce():\n return hexencode(os.u... | [
0,
1,
2
] |
#Developer: Chritian D. Goyes
'''
this script show your name and your age.
'''
myName = 'Christian D. Goyes'
myDate = 1998
year = 2020
age = year - myDate
print ("yourname is: ", age, "and your are", "years old") | normal | {
"blob_id": "f5331b56abea41873bd3936028471d0da1c58236",
"index": 4986,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('yourname is: ', age, 'and your are', 'years old')\n",
"step-3": "<mask token>\nmyName = 'Christian D. Goyes'\nmyDate = 1998\nyear = 2020\nage = year - myDate\nprint('yourname is:... | [
0,
1,
2,
3
] |
"""to get the all the module and its location"""
import sys
print(sys.modules)
| normal | {
"blob_id": "20637e41df8a33e3837905a4729ae0b4a9f94dbb",
"index": 3128,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(sys.modules)\n",
"step-3": "<mask token>\nimport sys\nprint(sys.modules)\n",
"step-4": "\"\"\"to get the all the module and its location\"\"\"\r\nimport sys\r\nprint(sys.modules... | [
0,
1,
2,
3
] |
import numpy as np
import urllib2
from io import StringIO
def demo_polyfit0():
x, y = np.loadtxt('stock.txt', unpack=True)
print '-'.join(map(str, np.polyfit(x, y, 1)))
def demo_polyfit1():
d = urllib2.urlopen("http://www.qlcoder.com/download/145622513871043.txt").read().decode("utf-8")
print d
... | normal | {
"blob_id": "61571ba9f647f430879b9fa5db884ec4c93c334f",
"index": 9659,
"step-1": "import numpy as np\nimport urllib2\nfrom io import StringIO\n\n\ndef demo_polyfit0():\n x, y = np.loadtxt('stock.txt', unpack=True)\n print '-'.join(map(str, np.polyfit(x, y, 1)))\n\n\ndef demo_polyfit1():\n d = urllib2.ur... | [
0
] |
from tkinter.ttk import *
from tkinter import *
import tkinter.ttk as ttk
from tkinter import messagebox
import sqlite3
root = Tk()
root.title('Register-Form')
root.geometry("600x450+-2+86")
root.minsize(120, 1)
def delete():
if(Entry1.get()==''):
messagebox.showerror('Register-Form', 'ID Is compolsary fo... | normal | {
"blob_id": "37cafe5d3d3342e5e4070b87caf0cfb5bcfdfd8d",
"index": 1613,
"step-1": "<mask token>\n\n\ndef sign_in():\n root.destroy()\n import main\n\n\n<mask token>\n",
"step-2": "<mask token>\nroot.title('Register-Form')\nroot.geometry('600x450+-2+86')\nroot.minsize(120, 1)\n\n\ndef delete():\n if Ent... | [
1,
4,
5,
6,
7
] |
def build_shift_dict(self, shift):
'''
Creates a dictionary that can be used to apply a cipher to a letter.
The dictionary maps every uppercase and lowercase letter to a
character shifted down the alphabet by the input shift. The dictionary
should have 52 keys of all the uppercase letters and all th... | normal | {
"blob_id": "07d2da14d0122ad2c8407bb13b8567ca62356bef",
"index": 7515,
"step-1": "<mask token>\n",
"step-2": "def build_shift_dict(self, shift):\n \"\"\"\n Creates a dictionary that can be used to apply a cipher to a letter.\n The dictionary maps every uppercase and lowercase letter to a\n characte... | [
0,
1,
2
] |
from selenium import webdriver
from urllib.request import urlopen, Request
from subprocess import check_output
import json
#from flask import Flask
# https://data-live.flightradar24.com/zones/fcgi/feed.js?bounds=-32.27,-34.08,-73.15,-70.29
def get_json_aviones(north, south, west, east):
#driver = webdriver.Chrom... | normal | {
"blob_id": "9ba5af7d2b6d4f61bb64a055efb15efa8e08d35c",
"index": 5379,
"step-1": "<mask token>\n\n\ndef get_json_buques(centerx, centery, zoom):\n count = 0\n while True:\n ignore = False\n count += 1\n print(centerx, centery, zoom)\n out = check_output(['phantomjs', 'GetBarcos.... | [
1,
2,
3,
4,
5
] |
"""
A module for constants.
"""
# fin adding notes for keys and uncomment
KEYS = [
"CM",
"GM"
# ,
# "DM",
# "AM",
# "EM",
# "BM",
# "FSM",
# "CSM",
# "Am",
# "Em",
# "Bm",
# "FSm",
# "CSm",
# "GSm",
# "DSm",
# "ASm",
]
NOTES_FOR_KEY = {
"CM": [... | normal | {
"blob_id": "dd7ade05ef912f7c094883507768cc21f95f31f6",
"index": 533,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nKEYS = ['CM', 'GM']\nNOTES_FOR_KEY = {'CM': [21, 23, 24, 26, 28, 29, 31, 33, 35, 36, 38, 40, 41,\n 43, 45, 47, 48, 50, 52, 53, 55, 57, 59, 60, 62, 64, 65, 67, 69, 71, 72,\n 74, 76, 7... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
button6.grid(row=2, column=2, sticky=S + N + E + W)
<|reserved_special_token_0|>
button7.grid(row=3, column=0, sticky=S + N + E + W)
<|reserved_special_token_0|>
button8.grid(row=3, column=1, sticky=S + N + E + W)
<|reserved_speci... | flexible | {
"blob_id": "e543c7f7f1b249e53b8ebf82641ec398abf557af",
"index": 477,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nbutton6.grid(row=2, column=2, sticky=S + N + E + W)\n<mask token>\nbutton7.grid(row=3, column=0, sticky=S + N + E + W)\n<mask token>\nbutton8.grid(row=3, column=1, sticky=S + N + E + W)\n<... | [
0,
1,
2,
3
] |
import os
import sys
from flask import Flask, request, abort, flash, jsonify, Response
from flask_sqlalchemy import SQLAlchemy
from flask_cors import CORS
from flask_migrate import Migrate
import random
import unittest
from models import db, Question, Category
# set the number of pages fpr pagination
QUESTIONS_PER_PA... | normal | {
"blob_id": "b84a2093a51e57c448ee7b4f5a89d69dfb14b1b6",
"index": 4876,
"step-1": "<mask token>\n\n\n@app.after_request\ndef after_request(response):\n response.headers.add('Access-Control-Allow-Headers',\n 'Content-Type, Authorization, true')\n response.headers.add('Access-Control-Allow-Methods',\n ... | [
8,
10,
12,
14,
17
] |
import os
import xml.etree.ElementTree as Et
import copy
from .common import CommonRouteExchangeService
class DataRoutes(CommonRouteExchangeService):
"""Класс для работы с данными аршрутов"""
def get_route_from_file(self, path_route):
"""Считывание маршрута из файла
:param path_route: Путь до... | normal | {
"blob_id": "63069f03d17862b8ea6aa74d0acd1370bbea0dcb",
"index": 836,
"step-1": "<mask token>\n\n\nclass DataRoutes(CommonRouteExchangeService):\n <mask token>\n <mask token>\n <mask token>\n\n def change_status_in_route(self, tree_route, status):\n \"\"\"Замена статуса маршрута в маршруте\n ... | [
3,
5,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def case_study_submission(request, template_name='casestudies/submit.html'):
form = SubmitCaseStudyForm(request.POST or None)
if form.is_valid():
form.save()
return HttpResponseRedirect(reverse('submit_me... | flexible | {
"blob_id": "fe3e104cf213b21c33a4b5c6e1a61315c4770eda",
"index": 6821,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef case_study_submission(request, template_name='casestudies/submit.html'):\n form = SubmitCaseStudyForm(request.POST or None)\n if form.is_valid():\n form.save()\n ... | [
0,
1,
2,
3
] |
####################################################################################
#
# Kaggle Competition: https://www.kaggle.com/c/msk-redefining-cancer-treatment
# Sponsor : Memorial Sloan Kettering Cancer Center (MSKCC)
# Author: Amrut Shintre
#
#####################################################################... | normal | {
"blob_id": "1305991a9cd82ddeaffff1545a35ced992e6792f",
"index": 7300,
"step-1": "<mask token>\n\n\ndef text_cleaning(text_df):\n corpus = []\n for i in range(len(text_df)):\n text = re.sub('[^a-zA-Z]', ' ', text_df['Text'][i])\n text = text.lower()\n text = text.split()\n ps = ... | [
4,
5,
6,
7,
8
] |
from .ast import *
# noinspection PyPep8Naming
def addToClass(cls):
def decorator(func):
setattr(cls, func.__name__, func)
return func
return decorator
def print_intended(to_print, intend):
print(intend * "| " + to_print)
# noinspection PyPep8Naming,PyUnresolvedReferences
class TreeP... | normal | {
"blob_id": "1084478226777b9259274e053984ac34d461198d",
"index": 42,
"step-1": "<mask token>\n\n\nclass TreePrinter:\n\n @addToClass(Node)\n def printTree(self, indent=0):\n raise Exception('printTree not defined in class ' + self.__class__.\n __name__)\n\n @addToClass(Instruction)\n ... | [
18,
21,
22,
24,
26
] |
weekdays = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday',
'Saturday', 'Sunday']
i = input('Enter a day of the week and number of days: ').split()
e = int(i[-1])
starting_point = weekdays.index(i[0])
a = e + starting_point - len(weekdays)
print(weekdays[a])
| normal | {
"blob_id": "5f7d05c642339ce0ab02a65ca41f9ee89c2faf57",
"index": 4240,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(weekdays[a])\n",
"step-3": "weekdays = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday',\n 'Saturday', 'Sunday']\ni = input('Enter a day of the week and number of days: ... | [
0,
1,
2
] |
import pygame
from pygame import Rect, Color
from pymunk import Body, Poly
from config import WIDTH, HEIGHT
class Ground:
def __init__ (self, space):
# size
self.w = WIDTH - 20
self.h = 25
# position
self.x = 10
self.y = HEIGHT - self.h
# pygame... | normal | {
"blob_id": "32fc0db68c32c2e644f9c1c2318fbeff41a0543d",
"index": 5703,
"step-1": "<mask token>\n\n\nclass Ground:\n <mask token>\n <mask token>\n\n def draw(self, window):\n pygame.draw.rect(window, self.color, self.rect)\n return\n",
"step-2": "<mask token>\n\n\nclass Ground:\n\n def... | [
2,
3,
4,
5,
6
] |
# ch14_26.py
fn = 'out14_26.txt'
x = 100
with open(fn, 'w') as file_Obj:
file_Obj.write(x) # 直接輸出數值x產生錯誤
| normal | {
"blob_id": "e4f07355300003943d2fc09f80746a1201de7e37",
"index": 1678,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open(fn, 'w') as file_Obj:\n file_Obj.write(x)\n",
"step-3": "fn = 'out14_26.txt'\nx = 100\nwith open(fn, 'w') as file_Obj:\n file_Obj.write(x)\n",
"step-4": "# ch14_26.py\... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class Solution:
<|reserved_special_token_0|>
def refined(self, nums, i, a, ans):
if i >= len(nums):
if len(a) == len(ans) and self.isMoreCompetitive(a, ans) == False:
return False, None
elif len(a) != len(ans):
retur... | flexible | {
"blob_id": "f8b04f374e1c55d4985be793939f0ff9393c29e0",
"index": 2571,
"step-1": "<mask token>\n\n\nclass Solution:\n <mask token>\n\n def refined(self, nums, i, a, ans):\n if i >= len(nums):\n if len(a) == len(ans) and self.isMoreCompetitive(a, ans) == False:\n return Fals... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
class my_image_csv_dataset(Dataset):
def __init__(self, data_dir, data, transforms_=None, obj=False,
minorities=None, diffs=None, bal_tfms=None):
self.data_dir = data_dir
self.data = data
self.transforms_ = transforms_
self.tfms = None
... | flexible | {
"blob_id": "5b8c95354f8b27eff8226ace52ab9e97f98ae217",
"index": 80,
"step-1": "<mask token>\n\n\nclass my_image_csv_dataset(Dataset):\n\n def __init__(self, data_dir, data, transforms_=None, obj=False,\n minorities=None, diffs=None, bal_tfms=None):\n self.data_dir = data_dir\n self.data ... | [
15,
16,
19,
25,
29
] |
<|reserved_special_token_0|>
class France(BigFileSpider):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def start_requests(self):
url = (
'https://www.data.gouv.fr/api/1/datasets/donnees-essentielles-de-la-commande-publique-fichiers-consoli... | flexible | {
"blob_id": "369bffa21b5b8c0ca1d93da3aa30a38e2f4c82cc",
"index": 9451,
"step-1": "<mask token>\n\n\nclass France(BigFileSpider):\n <mask token>\n <mask token>\n <mask token>\n\n def start_requests(self):\n url = (\n 'https://www.data.gouv.fr/api/1/datasets/donnees-essentielles-de-la... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
pymysql.install_as_MySQLdb()
<|reserved_special_token_1|>
import pymysql
pymysql.install_as_MySQLdb()
<|reserved_special_token_1|>
import pymysql
pymysql.install_as_MySQLdb()
# from keras.models import load_model
# from ke... | flexible | {
"blob_id": "b7d3af29e024b0b2cf5d2c054290f799eae7fed1",
"index": 4476,
"step-1": "<mask token>\n",
"step-2": "<mask token>\npymysql.install_as_MySQLdb()\n",
"step-3": "import pymysql\npymysql.install_as_MySQLdb()\n",
"step-4": "import pymysql\n\npymysql.install_as_MySQLdb()\n\n# from keras.models import lo... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for j in range(0, len(df1)):
print(j)
user = []
proto = []
purity = []
card_name = []
card_effect = []
god = []
rarity = []
mana = []
type = []
set = []
print(df1['address'][j])
... | flexible | {
"blob_id": "93909ab98f1141940e64e079e09834ae5ad3995f",
"index": 6537,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor j in range(0, len(df1)):\n print(j)\n user = []\n proto = []\n purity = []\n card_name = []\n card_effect = []\n god = []\n rarity = []\n mana = []\n typ... | [
0,
1,
2,
3,
4
] |
import numpy
from scipy.optimize import OptimizeResult
from logging import getLogger
logger = getLogger(__name__)
def minimize_neldermead(func, x0, args=(), callback=None,
maxiter=None, maxfev=None, disp=False,
return_all=False, initial_simplex=None,
... | normal | {
"blob_id": "35921b081e8e8c4da2b16afc20b27b636e9a6676",
"index": 4761,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef minimize_neldermead(func, x0, args=(), callback=None, maxiter=None,\n maxfev=None, disp=False, return_all=False, initial_simplex=None, xatol=\n 0.0001, fatol=0.0001, **unkno... | [
0,
1,
2,
3,
4
] |
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