index int64 0 100k | blob_id stringlengths 40 40 | code stringlengths 7 7.27M | steps listlengths 1 1.25k | error bool 2
classes |
|---|---|---|---|---|
3,800 | 781ce153d5053078ee11cecc13d055a67999a651 | # -*- coding: utf-8 -*-
from flask import jsonify
from flask.views import MethodView
class Users(MethodView):
def get(self):
return jsonify(
{
'status': 'OK',
'users': [
{'name': 'Pepe', 'age': 35, 'ocupation': "Engineer"},
... | [
"# -*- coding: utf-8 -*-\nfrom flask import jsonify\nfrom flask.views import MethodView\n\n\nclass Users(MethodView):\n\n def get(self):\n return jsonify(\n {\n 'status': 'OK',\n 'users': [\n {'name': 'Pepe', 'age': 35, 'ocupation': \"Engineer\"}... | false |
3,801 | 50c7ce95f17cbd40a753d16d9f9fab349ad4f4ce | """
100 4 200 1 3 2
100
4
200
1
3
2
6:35
"""
class Solution:
def longestConsecutive(self, nums: List[int]) -> int:
numset = set(nums)
ans = 0
# visited = set(nums)
maxnum = float('-inf')
if not nums:
return 0
for n in numset:
... | [
"\"\"\"\n 100 4 200 1 3 2\n100 \n4\n200\n1\n3\n2\n\n6:35\n\"\"\"\n\nclass Solution:\n def longestConsecutive(self, nums: List[int]) -> int:\n numset = set(nums)\n ans = 0\n # visited = set(nums)\n maxnum = float('-inf')\n \n if not nums: \n return 0\n ... | false |
3,802 | 15eed401728e07bfe9299edd12add43ad8b9cb71 | # -*- coding: utf-8 -*-
import luigi
from luigi import *
#from luigi import Task
import pandas as pd
from pset.tasks.embeddings.load_embeding import EmbedStudentData
from pset.tasks.data.load_dataset import HashedStudentData
import numpy as npy
import pickle
import os
class NearestStudents(Task):
github_id = Par... | [
"# -*- coding: utf-8 -*-\n\nimport luigi\nfrom luigi import *\n#from luigi import Task\nimport pandas as pd\nfrom pset.tasks.embeddings.load_embeding import EmbedStudentData\nfrom pset.tasks.data.load_dataset import HashedStudentData\nimport numpy as npy\nimport pickle\nimport os\n\nclass NearestStudents(Task):\n\n... | false |
3,803 | b713e38824db13f919484b071fb35afb29e26baa | import os,sys
parentdir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.insert(0,parentdir)
import xmind
from xmind.core.markerref import MarkerId
xmind_name="数据结构"
w = xmind.load(os.path.dirname(os.path.abspath(__file__))+"\\"+xmind_name+".xmind")
s2=w.createSheet()
s2.setTitle("二叉树——递归套路")... | [
"import os,sys \nparentdir = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) \nsys.path.insert(0,parentdir) \n\nimport xmind\nfrom xmind.core.markerref import MarkerId\nxmind_name=\"数据结构\"\nw = xmind.load(os.path.dirname(os.path.abspath(__file__))+\"\\\\\"+xmind_name+\".xmind\") \ns2=w.createSheet()\ns2... | false |
3,804 | 9f479ad2acf4f6deb0ca4db606c3d804979c10bd | from rllab.algos.trpo import TRPO
from rllab.baselines.linear_feature_baseline import LinearFeatureBaseline
from rllab.envs.gym_env import GymEnv
from rllab.envs.normalized_env import normalize
from rllab.misc.instrument import run_experiment_lite
from rllab.policies.gaussian_mlp_policy import GaussianMLPPolicy
from rl... | [
"from rllab.algos.trpo import TRPO\nfrom rllab.baselines.linear_feature_baseline import LinearFeatureBaseline\nfrom rllab.envs.gym_env import GymEnv\nfrom rllab.envs.normalized_env import normalize\nfrom rllab.misc.instrument import run_experiment_lite\nfrom rllab.policies.gaussian_mlp_policy import GaussianMLPPoli... | false |
3,805 | e807cef534226f3efb4a8df471598727fa068f02 | # -*- python -*-
# ex: set syntax=python:
# Copyright (c) 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
# See master.experimental/slaves.cfg for documentation.
slaves = [
#########################################... | [
"# -*- python -*-\n# ex: set syntax=python:\n\n# Copyright (c) 2012 The Chromium Authors. All rights reserved.\n# Use of this source code is governed by a BSD-style license that can be\n# found in the LICENSE file.\n\n# See master.experimental/slaves.cfg for documentation.\n\n\nslaves = [\n#########################... | false |
3,806 | f561846c943013629e417d16f4dae77df43b25c4 | from flask_sqlalchemy import SQLAlchemy
from flask_security import UserMixin, RoleMixin
db = SQLAlchemy()
roles_users = db.Table('roles_users',
db.Column('user_id', db.Integer(), db.ForeignKey('user.id')),
db.Column('role_id', db.Integer(), db.ForeignKey('role.id')))
class Role(db.Model, RoleMixin):
... | [
"from flask_sqlalchemy import SQLAlchemy\nfrom flask_security import UserMixin, RoleMixin\n\ndb = SQLAlchemy()\n\nroles_users = db.Table('roles_users',\n db.Column('user_id', db.Integer(), db.ForeignKey('user.id')),\n db.Column('role_id', db.Integer(), db.ForeignKey('role.id')))\n\nclass Role(db.Model... | false |
3,807 | a4697f0a0d0cc264b28a58bcc28528c221b4cb49 | import os
import datetime
from classifier import Classification
class PersistableClassificationModel(Classification):
"""
Classification classifier with ability to persist trained classifier on the disk.
"""
def __init__(self, output_dir, origin):
self.originModel = origin
if not os... | [
"import os\nimport datetime\n\nfrom classifier import Classification\n\n\nclass PersistableClassificationModel(Classification):\n\n \"\"\"\n Classification classifier with ability to persist trained classifier on the disk.\n \"\"\"\n def __init__(self, output_dir, origin):\n self.originModel = or... | false |
3,808 | 167c36627c7c3377266bde266e610792ba29b3e4 | import re
#lines = open("input.1").read()
lines = open("input.2").read()
lines = lines.splitlines()
moves = {}
moves["nw"] = [-1, -1]
moves["ne"] = [ 0, -1]
moves["w"] = [-1, 0]
moves["e"] = [ 1, 0]
moves["sw"] = [ 0, 1]
moves["se"] = [ 1, 1]
tiles = {}
def fliptile(tile):
if tile == "B":
tile = "... | [
"import re\n\n#lines = open(\"input.1\").read()\nlines = open(\"input.2\").read()\nlines = lines.splitlines()\n\nmoves = {}\nmoves[\"nw\"] = [-1, -1]\nmoves[\"ne\"] = [ 0, -1]\nmoves[\"w\"] = [-1, 0]\nmoves[\"e\"] = [ 1, 0]\nmoves[\"sw\"] = [ 0, 1]\nmoves[\"se\"] = [ 1, 1]\n\ntiles = {}\n\ndef fliptile(tile):... | true |
3,809 | 1a8c9be389aad37a36630a962c20a0a36c449bdd | def func(i):
if(i % 2 != 0): return False
visited = [0,0,0,0,0,0,0,0,0,0]
temp = i
while(i):
x = i%10
if (visited[x] == 1) or (x == 0): break
visited[x] = 1;
i = (int)(i / 10);
if(i == 0):
for y in str(temp):
if(temp % int(y) != 0): return False
else: return False... | [
"def func(i):\r\n if(i % 2 != 0): return False\r\n visited = [0,0,0,0,0,0,0,0,0,0]\r\n temp = i\r\n while(i):\r\n x = i%10\r\n if (visited[x] == 1) or (x == 0): break\r\n visited[x] = 1; \r\n i = (int)(i / 10); \r\n\r\n if(i == 0):\r\n for y in str(temp):\r\n if(temp % int(y) != 0): return ... | false |
3,810 | dae8529aa58f1451d5acdd6607543c202c3c0c66 | ####
#Some more on variables
####
#Variables are easily redefined.
#Let's start simple.
x=2 #x is going to start at 2
print (x)
x=54 #we are redefining x to equal 54
print (x)
x= "Cheese" #x is now the string 'cheese'
print (x)
#Try running this program to see x
#printed at each point
#Clearly variables can be... | [
"####\n#Some more on variables\n####\n\n#Variables are easily redefined. \n\n#Let's start simple.\n\nx=2 #x is going to start at 2\nprint (x) \nx=54 #we are redefining x to equal 54\nprint (x) \nx= \"Cheese\" #x is now the string 'cheese'\nprint (x)\n#Try running this program to see x \n#printed at each point\n\n#... | false |
3,811 | ae6cbb181e024b8c0b222d14120b910919f8cc81 | """Restaurant"""
def main():
"""Restaurant"""
moeny = int(input())
service = moeny*0.1
vat = moeny*0.07
print("Service Charge : %.2f Baht" %service)
print("VAT : %.2f Baht" %vat)
print("Total : %.2f Baht" %(moeny+vat+service))
main()
| [
"\"\"\"Restaurant\"\"\"\ndef main():\n \"\"\"Restaurant\"\"\"\n moeny = int(input())\n service = moeny*0.1\n vat = moeny*0.07\n print(\"Service Charge : %.2f Baht\" %service)\n print(\"VAT : %.2f Baht\" %vat)\n print(\"Total : %.2f Baht\" %(moeny+vat+service))\nmain()\n",
"<docstring token>\n... | false |
3,812 | e15524d7ae87cbf0b10c54ee0bdc613ba589c1a9 | from Cars import Bmw
from Cars import Audi
from Cars import Nissan
# Press the green button in the gutter to run the script.
if __name__ == '__main__':
print('In Sample.py........')
# Import classes from your brand new package
# Create an object of Bmw class & call its method
ModBMW = Bmw.Bmw()
... | [
"from Cars import Bmw\nfrom Cars import Audi\nfrom Cars import Nissan\n\n\n\n# Press the green button in the gutter to run the script.\nif __name__ == '__main__':\n print('In Sample.py........')\n\n # Import classes from your brand new package\n\n # Create an object of Bmw class & call its method\n ModB... | false |
3,813 | 9081d0f75ac53ab8d0bafb39cd46a2fec8a5135f | from django import forms
from .models import Profile
class ImageForm(forms.ModelForm):
userimage = forms.ImageField(required=False, error_messages={'invalid':("Image file only")}, widget=forms.FileInput)
class Meta:
model = Profile
fields = ['userimage',]
| [
"from django import forms\nfrom .models import Profile\n\n\n\n\n \nclass ImageForm(forms.ModelForm):\n userimage = forms.ImageField(required=False, error_messages={'invalid':(\"Image file only\")}, widget=forms.FileInput)\n class Meta:\n model = Profile\n fields = ['userimage',]\n\n\n",
"fro... | false |
3,814 | 9725c4bfea1215e2fb81c31cbb8948fd1656aca9 | from airbot import resolvers
from airbot import utils
import unittest
from grapher import App
import pprint
OPENID_CONFIG = {
'ISSUER_URL': 'https://dev-545796.oktapreview.com',
'CLIENT_ID': '0oafvba1nlTwOqPN40h7',
'REDIRECT_URI': 'http://locahost/implicit/callback'
}
class TestEndToEnd(unittest.TestCas... | [
"from airbot import resolvers\nfrom airbot import utils\nimport unittest\nfrom grapher import App\nimport pprint\n\n\nOPENID_CONFIG = {\n 'ISSUER_URL': 'https://dev-545796.oktapreview.com',\n 'CLIENT_ID': '0oafvba1nlTwOqPN40h7',\n 'REDIRECT_URI': 'http://locahost/implicit/callback'\n}\n\n\nclass TestEndToE... | true |
3,815 | aea92827753e12d2dc95d63ddd0fe4eb8ced5d14 | #!/usr/bin/env python
# coding: utf-8
# In[2]:
from __future__ import absolute_import, division, print_function, unicode_literals
import tensorflow as tf
print("Num GPUs Available: ", len(tf.config.experimental.list_physical_devices('GPU')))
# In[1]:
import numpy as np
import pandas as pd
import matplotlib.pypl... | [
"#!/usr/bin/env python\n# coding: utf-8\n\n# In[2]:\n\n\nfrom __future__ import absolute_import, division, print_function, unicode_literals\n\nimport tensorflow as tf\nprint(\"Num GPUs Available: \", len(tf.config.experimental.list_physical_devices('GPU')))\n\n\n# In[1]:\n\n\nimport numpy as np\nimport pandas as pd... | false |
3,816 | e03290746d6520fde63836e917f6af0c76596704 | # find the 12-digit number formed by concatenating a series of 3 4-digit
# numbers who are permutations of each other and are all prime
from itertools import permutations, dropwhile
from pe_utils import prime_sieve
prime_set = set(prime_sieve(10000))
def perm(n, inc):
perm_set = set(map(lambda x: int("".join(x))... | [
"# find the 12-digit number formed by concatenating a series of 3 4-digit\n# numbers who are permutations of each other and are all prime\n\nfrom itertools import permutations, dropwhile\nfrom pe_utils import prime_sieve\n\nprime_set = set(prime_sieve(10000))\n\ndef perm(n, inc):\n perm_set = set(map(lambda x: i... | false |
3,817 | 8ce2e9cd9ceed6c79a85682b8bc03a3ffb5131c4 | """
This module provides an optimizer class that is based on an evolution
strategy algorithm.
"""
import copy, random, math
from time import time
from xml.dom import minidom
from extra.schedule import Schedule
from extra.printer import pprint, BLUE
class Optimizer(object):
"""
This class is the implementation of the... | [
"\"\"\"\nThis module provides an optimizer class that is based on an evolution\nstrategy algorithm.\n\"\"\"\nimport copy, random, math\nfrom time import time\nfrom xml.dom import minidom\nfrom extra.schedule import Schedule\nfrom extra.printer import pprint, BLUE\n\nclass Optimizer(object):\n\t\"\"\"\n\tThis class ... | false |
3,818 | f379092cefe83a0a449789fbc09af490081b00a4 | from igbot import InstaBot
from settings import username, pw
from sys import argv
def execute_script(InstaBot):
InstaBot.get_unfollowers()
#InstaBot.unfollow()
#InstaBot.follow()
#InstaBot.remove_followers()
def isheadless():
if len(argv) > 1:
if argv[1] == 'head':
return False
else:
raise ValueError("... | [
"from igbot import InstaBot\nfrom settings import username, pw\nfrom sys import argv\n\ndef execute_script(InstaBot):\n\tInstaBot.get_unfollowers()\n\t#InstaBot.unfollow()\n\t#InstaBot.follow()\n\t#InstaBot.remove_followers()\n\ndef isheadless():\n\tif len(argv) > 1:\n\t\tif argv[1] == 'head':\n\t\t\treturn False\n... | false |
3,819 | 2b8b502381e35ef8e56bc150114a8a4831782c5a | class Solution(object):
def maxDistToClosest(self, seats):
"""
:type seats: List[int]
:rtype: int
"""
start = 0
end = 0
length = len(seats)
max_distance = 0
for i in range(len(seats)):
seat = seats[i]
if seat ==... | [
"class Solution(object):\n def maxDistToClosest(self, seats):\n \"\"\"\n :type seats: List[int]\n :rtype: int\n \"\"\"\n start = 0\n end = 0\n length = len(seats)\n max_distance = 0\n \n for i in range(len(seats)):\n seat = seats[i]... | false |
3,820 | a5559ff22776dee133f5398bae573f515efb8484 | # MINISTを読み込んでレイヤーAPIでCNNを構築するファイル
import tensorflow as tf
import numpy as np
import os
import tensorflow as tf
import glob
import numpy as np
import config as cf
from data_loader import DataLoader
from PIL import Image
from matplotlib import pylab as plt
dl = DataLoader(phase='Train', shuffle=True)
X... | [
"# MINISTを読み込んでレイヤーAPIでCNNを構築するファイル\r\nimport tensorflow as tf\r\nimport numpy as np\r\nimport os\r\n\r\nimport tensorflow as tf\r\nimport glob\r\nimport numpy as np\r\n\r\nimport config as cf\r\nfrom data_loader import DataLoader\r\nfrom PIL import Image\r\nfrom matplotlib import pylab as plt\r\n\r\ndl = DataLoade... | false |
3,821 | 3acbb37809462ee69ff8792b4ad86b31dba5d630 | #!/usr/bin/env python2.7
from __future__ import print_function, division
import numpy as np
import matplotlib
import os
#checks if there is a display to use.
if os.environ.get('DISPLAY') is None:
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.colors as clr
import dtk
import sys
import ti... | [
"#!/usr/bin/env python2.7\n\nfrom __future__ import print_function, division \nimport numpy as np\nimport matplotlib\nimport os\n#checks if there is a display to use.\nif os.environ.get('DISPLAY') is None:\n matplotlib.use('Agg')\n\nimport matplotlib.pyplot as plt\nimport matplotlib.colors as clr\nimport dtk\nim... | false |
3,822 | 2ba5cb1265090b42b9a4838b792a3e81b209ba1a | import unittest
import A1
import part_manager
import security
class test_A1(unittest.TestCase):
# ----------------------------------- set up the mock data for test cases -----------------------------------
def setUp(self):
self.security1 = security.Security("XXX-1234-ABCD-1234", None)
self... | [
"import unittest\nimport A1\nimport part_manager\nimport security\n\n\nclass test_A1(unittest.TestCase):\n \n# ----------------------------------- set up the mock data for test cases ----------------------------------- \n def setUp(self):\n self.security1 = security.Security(\"XXX-1234-ABCD-1234\", N... | false |
3,823 | 726aaa0ef129f950e6da6701bb20e893d2f7373b | import os
import numpy as np
from argparse import ArgumentParser
from tqdm import tqdm
from models.networks import Perceptron
from data.perceptron_dataset import Dataset, batchify
from utils.utils import L1Loss, plot_line
from modules.perceptron_trainer import Trainer
if __name__ == '__main__':
parser = Argumen... | [
"import os\nimport numpy as np\nfrom argparse import ArgumentParser\nfrom tqdm import tqdm\n\nfrom models.networks import Perceptron\nfrom data.perceptron_dataset import Dataset, batchify\nfrom utils.utils import L1Loss, plot_line\nfrom modules.perceptron_trainer import Trainer\n\n\nif __name__ == '__main__':\n ... | false |
3,824 | 65d08fe1a3f6e5cc2458209706307513d808bdb2 | #!/usr/bin/env python
import os
import sys
#from io import open
import googleapiclient.errors
import oauth2client
from googleapiclient.errors import HttpError
from . import auth
from . import lib
debug = lib.debug
# modified start
def get_youtube_handler():
"""Return the API Youtube object."""
... | [
"#!/usr/bin/env python\n\n\nimport os\nimport sys\n#from io import open\n\nimport googleapiclient.errors\nimport oauth2client\nfrom googleapiclient.errors import HttpError\n\nfrom . import auth\nfrom . import lib\n\n\ndebug = lib.debug\n\n\n# modified start \ndef get_youtube_handler():\n \"\"\"Return the... | false |
3,825 | 7531480f629c1b3d28210afac4ef84b06edcd420 | # coding=utf-8
# __author__ = 'lyl'
import json
import csv
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
def read_json(filename):
"""
读取json格式的文件
:param filename: json文件的文件名
:return: [{}, {}, {}, {}, {}，{} ......]
"""
return json.loads(open(filename).read())
def... | [
"# coding=utf-8\r\n# __author__ = 'lyl'\r\n\r\nimport json\r\nimport csv\r\n\r\nimport sys\r\nreload(sys)\r\nsys.setdefaultencoding('utf-8')\r\n\r\n\r\ndef read_json(filename):\r\n \"\"\"\r\n 读取json格式的文件\r\n :param filename: json文件的文件名\r\n :return: [{}, {}, {}, {}, {}，{} ......]\r\n \"\"\"\r\n re... | false |
3,826 | 68c9944c788b9976660384e5d1cd0a736c4cd0e6 | import drawSvg
import noise
import random
import math
import numpy as np
sizex = 950
sizey = 500
noisescale = 400
persistence = 0.5
lacunarity = 2
seed = random.randint(0, 100)
actorsnum = 1000
stepsnum = 50
steplenght = 2
noisemap = np.zeros((sizex, sizey))
for i in range(sizex):
for j in range(sizey):
n... | [
"import drawSvg\nimport noise\nimport random\nimport math\nimport numpy as np\n\nsizex = 950\nsizey = 500\nnoisescale = 400\npersistence = 0.5\nlacunarity = 2\nseed = random.randint(0, 100)\nactorsnum = 1000\nstepsnum = 50\nsteplenght = 2\nnoisemap = np.zeros((sizex, sizey))\n\nfor i in range(sizex):\n for j in ... | false |
3,827 | d71ffd022d87aa547b2a379f4c92d767b91212fd | from channels.db import database_sync_to_async
from django.db.models import Q
from rest_framework.generics import get_object_or_404
from main.models import UserClient
from main.services import MainService
from .models import Message, RoomGroup, UsersRoomGroup
class AsyncChatService:
@staticmethod
@database_s... | [
"from channels.db import database_sync_to_async\nfrom django.db.models import Q\nfrom rest_framework.generics import get_object_or_404\n\nfrom main.models import UserClient\nfrom main.services import MainService\nfrom .models import Message, RoomGroup, UsersRoomGroup\n\n\nclass AsyncChatService:\n @staticmethod\... | false |
3,828 | 08ed57ffb7a83973059d62f686f77b1bea136fbd | from flask import Flask, request, render_template, redirect
from stories import Story, stories
# from flask_debugtoolbar import DebugToolbarExtension
app = Flask(__name__)
# app.config['SECRET_KEY'] = "secret"
# debug = DebugToolbarExtension(app)
# my original approach involved using a global story variable to sto... | [
"from flask import Flask, request, render_template, redirect\nfrom stories import Story, stories\n# from flask_debugtoolbar import DebugToolbarExtension\n\napp = Flask(__name__)\t\n# app.config['SECRET_KEY'] = \"secret\"\n\n# debug = DebugToolbarExtension(app)\n\n\n# my original approach involved using a global sto... | false |
3,829 | 6336b31e51f0565c6b34ab5148645748fe899541 | import copy
import pandas as pd
import numpy as np
from pandas import DataFrame
from collections import Counter
from sklearn.metrics import roc_auc_score, roc_curve
from statsmodels.stats.outliers_influence import variance_inflation_factor
class Get_res_DataFrame:
'''
sheet1：数据概况
sheet2：变量的大小，效果，相关性 ok
... | [
"import copy\nimport pandas as pd\nimport numpy as np\nfrom pandas import DataFrame\nfrom collections import Counter\nfrom sklearn.metrics import roc_auc_score, roc_curve\nfrom statsmodels.stats.outliers_influence import variance_inflation_factor\n\nclass Get_res_DataFrame:\n '''\n sheet1：数据概况\n sheet2：变量的... | false |
3,830 | 85e5bf57f7eba2cbee0fbb8a4d37b5180208f9b7 | # -*- coding: utf-8 -*-
from odoo import fields, models
class LunchWizard(models.TransientModel):
_name = "lunch.wizard"
_description = "LunchWizard"
lun_type = fields.Char(string="Set New Lunch Type")
lunch_id = fields.Many2one('lunch.lunch', string="Lunch Id")
def action_process_lunch(self):... | [
"# -*- coding: utf-8 -*-\n\n\nfrom odoo import fields, models\n\n\nclass LunchWizard(models.TransientModel):\n _name = \"lunch.wizard\"\n _description = \"LunchWizard\"\n\n lun_type = fields.Char(string=\"Set New Lunch Type\")\n lunch_id = fields.Many2one('lunch.lunch', string=\"Lunch Id\")\n\n def a... | false |
3,831 | 53eb1dcd54ce43d9844c48eb1d79f122a87dca39 | from selenium.webdriver import Chrome
path=("/Users/karimovrustam/PycharmProjects/01.23.2020_SeleniumAutomation/drivers/chromedriver")
driver=Chrome(executable_path=path)
driver.maximize_window()
driver.get("http://www.toolsqa.com/iframe-practice-page/")
# driver.switch_to.frame("iframe2") # When working with few wi... | [
"from selenium.webdriver import Chrome\n\npath=(\"/Users/karimovrustam/PycharmProjects/01.23.2020_SeleniumAutomation/drivers/chromedriver\")\ndriver=Chrome(executable_path=path)\ndriver.maximize_window()\ndriver.get(\"http://www.toolsqa.com/iframe-practice-page/\")\n\n\n# driver.switch_to.frame(\"iframe2\") # When ... | false |
3,832 | 99c12e925850fe7603831df5b159db30508f4515 | from coarsegrainparams import *
from inva_fcl_stab import *
from Eq import *
from Dynamics import *
from sympy import Matrix,sqrt
def construct_param_dict(params,K_RC,K_CP,m_P):
"""
Construct all the parameters from its relationships with body size and temperature, using the normalizing constants and scaling e... | [
"from coarsegrainparams import *\nfrom inva_fcl_stab import *\nfrom Eq import *\nfrom Dynamics import *\nfrom sympy import Matrix,sqrt\n\ndef construct_param_dict(params,K_RC,K_CP,m_P):\n \"\"\"\n Construct all the parameters from its relationships with body size and temperature, using the normalizing constan... | false |
3,833 | 91eb0ae8e59f24aeefdabd46546bc8fb7a0b6f6c | from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn.feature_selection import SelectKBest, chi2
from sklearn import metrics, ensemble, linear_model, svm
from numpy import log, ones, array, zeros, mean, std, repeat
import numpy as np
import scipy.sparse as sp
import re
import csv
fro... | [
"from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer\nfrom sklearn.feature_selection import SelectKBest, chi2\nfrom sklearn import metrics, ensemble, linear_model, svm\nfrom numpy import log, ones, array, zeros, mean, std, repeat\nimport numpy as np\nimport scipy.sparse as sp\nimport re\nim... | false |
3,834 | 7251d32918b16166e9b7c9613726e6dc51d6fea4 | from sqlalchemy import (Column, Integer, Float, String, ForeignKey)
from sqlalchemy.dialects.postgresql import UUID
from sqlalchemy.orm import relationship
from .meta import Base, BaseModel
class Stock(Base, BaseModel):
__tablename__ = 'stock'
name = Column(String(255), nullable=False)
starting_price = ... | [
"from sqlalchemy import (Column, Integer, Float, String, ForeignKey)\nfrom sqlalchemy.dialects.postgresql import UUID\nfrom sqlalchemy.orm import relationship\n\nfrom .meta import Base, BaseModel\n\n\nclass Stock(Base, BaseModel):\n __tablename__ = 'stock'\n\n name = Column(String(255), nullable=False)\n s... | false |
3,835 | 429af603bf8f1c003799c3d94c0ce9a2c2f80dfc | class Solution(object):
def sortArrayByParityII(self, A):
"""
:type A: List[int]
:rtype: List[int]
"""
i = 0
for j in range(1, len(A), 2):
if A[j] % 2 == 1:
continue
else:
while i + 2 < len(A) and A[i] % 2 == 0:... | [
"class Solution(object):\n def sortArrayByParityII(self, A):\n \"\"\"\n :type A: List[int]\n :rtype: List[int]\n \"\"\"\n i = 0\n\n for j in range(1, len(A), 2):\n if A[j] % 2 == 1:\n continue\n else:\n while i + 2 < le... | false |
3,836 | b07073a7f65dbc10806b68729f21a8bc8773a1ab | #!/usr/bin/env python
from math import ceil, floor, sqrt
def palindromes(n: int) -> int:
"""yield successive palindromes starting at n"""
# 1 -> 2 -> 3 ... 9 -> 11 -> 22 -> 33 -> 44 .. 99 -> 101
# 101 -> 111 -> 121 -> 131 -> ... -> 191 -> 202 -> 212
# 989 -> 999 -> 1001 -> 1111 -> 1221
# 9889 -> 9... | [
"#!/usr/bin/env python\n\nfrom math import ceil, floor, sqrt\n\ndef palindromes(n: int) -> int:\n \"\"\"yield successive palindromes starting at n\"\"\"\n # 1 -> 2 -> 3 ... 9 -> 11 -> 22 -> 33 -> 44 .. 99 -> 101\n # 101 -> 111 -> 121 -> 131 -> ... -> 191 -> 202 -> 212\n # 989 -> 999 -> 1001 -> 1111 -> 1... | false |
3,837 | 2539411c7b348662dbe9ebf87e26faacc20f4c5e | import numpy as np
import math
import os
if os.getcwd().rfind('share') > 0:
topsy = True
import matplotlib as mpl
mpl.use('Agg')
else:
topsy = False
from matplotlib import rc
import matplotlib.pyplot as plt
from matplotlib import rc
from matplotlib import cm
from scipy.optimize import curve_fit
import sys
import h... | [
"import numpy as np\nimport math\nimport os\nif os.getcwd().rfind('share') > 0:\n\ttopsy = True\n\timport matplotlib as mpl\n\tmpl.use('Agg')\nelse:\n\ttopsy = False\n\tfrom matplotlib import rc\nimport matplotlib.pyplot as plt\nfrom matplotlib import rc\nfrom matplotlib import cm\nfrom scipy.optimize import curve_... | true |
3,838 | 63a2c8b0c2eba2d5f9f82352196ef2b67d4d63b5 | inp = int(input())
print(bytes(inp))
| [
"inp = int(input())\n\nprint(bytes(inp))\n",
"inp = int(input())\nprint(bytes(inp))\n",
"<assignment token>\nprint(bytes(inp))\n",
"<assignment token>\n<code token>\n"
] | false |
3,839 | 7bf81954bef81004b6c9838ed00c624d24fcf0c6 | # Generated by Django 2.0.3 on 2018-07-05 04:16
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('application_manager', '0015_auto_20180705_0415'),
]
operations = [
migrations.RemoveField(
model_name='application',
name='u... | [
"# Generated by Django 2.0.3 on 2018-07-05 04:16\n\nfrom django.db import migrations\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('application_manager', '0015_auto_20180705_0415'),\n ]\n\n operations = [\n migrations.RemoveField(\n model_name='application',\n... | false |
3,840 | 4d707e23f66e8b6bea05a5901d3d8e459247c6c1 | import cv2
import sys
# Load the Haar cascades
face_cascade = cv2.CascadeClassifier('./haar_cascades/haarcascade_frontalface_default.xml')
eyes_cascade = cv2.CascadeClassifier('./haar_cascades/haarcascade_eye.xml')
capture = cv2.VideoCapture(0)
_, image = capture.read()
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
... | [
"import cv2\nimport sys\n\n# Load the Haar cascades\nface_cascade = cv2.CascadeClassifier('./haar_cascades/haarcascade_frontalface_default.xml')\neyes_cascade = cv2.CascadeClassifier('./haar_cascades/haarcascade_eye.xml')\n\ncapture = cv2.VideoCapture(0)\n_, image = capture.read()\ngray = cv2.cvtColor(image, cv2.CO... | false |
3,841 | 791df87235f5da634fc62ebc3a3741cea6e2deca | def summation(numbers):
positive_numbers = []
normalized_numbers = []
numbers_list = numbers.split()
for idx, arg in enumerate(numbers_list):
int_arg = int(arg)
if int_arg < 0:
new_arg = abs(int_arg) * 2
else:
new_arg = int_arg
positive_numbers.app... | [
"def summation(numbers):\n positive_numbers = []\n normalized_numbers = []\n numbers_list = numbers.split()\n for idx, arg in enumerate(numbers_list):\n int_arg = int(arg)\n if int_arg < 0:\n new_arg = abs(int_arg) * 2\n else:\n new_arg = int_arg\n posit... | false |
3,842 | c179d27f1620414061d376d4f30d2ddd4fd2750e | import sys, serial, time, signal, threading
from MFRC522 import MFRC522
from event import Event
class Sensor(threading.Thread):
# main program for reading and processing tags
def __init__(self, name):
threading.Thread.__init__(self)
self.name = name
self.continue_reading = False
self.tag_reader = MFRC522()
... | [
"import sys, serial, time, signal, threading\nfrom MFRC522 import MFRC522\nfrom event import Event\n\nclass Sensor(threading.Thread):\n\n\t# main program for reading and processing tags\n\tdef __init__(self, name):\n\t\tthreading.Thread.__init__(self)\n\t\tself.name = name\n\t\tself.continue_reading = False\n\t\tse... | true |
3,843 | bee6ba1db608c1d9c8114f89d4b3abab795a6b86 | from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from config import config
import os
db = SQLAlchemy()
static_file_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'static')
def create_app(config_name):
app = Flask(__name__, static_folder=static_file_dir)
app.config.from_object... | [
"from flask import Flask\n\nfrom flask_sqlalchemy import SQLAlchemy\nfrom config import config\nimport os\n\ndb = SQLAlchemy()\n\nstatic_file_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'static')\n\ndef create_app(config_name):\n app = Flask(__name__, static_folder=static_file_dir)\n app.c... | false |
3,844 | 38abc4bc99f3b15b416c77481818464a6c7f11ef | import mysql.connector
from mysql.connector import errorcode
DB_NAME = 'PieDB'
TABLES = {}
# TABLES['pietweets'] = (
# "CREATE TABLE `pietweets` ("
# " `id` int NOT NULL AUTO_INCREMENT,"
# " `tweet_id` bigint NOT NULL,"
# " `username` varchar(32) NOT NULL,"
# " `geo_lat` float(53) NOT NULL,"
# " `geo_lon... | [
"import mysql.connector\nfrom mysql.connector import errorcode\n\nDB_NAME = 'PieDB'\n\nTABLES = {}\n# TABLES['pietweets'] = (\n# \t\"CREATE TABLE `pietweets` (\"\n# \t\" `id` int NOT NULL AUTO_INCREMENT,\"\t\t\n# \t\" `tweet_id` bigint NOT NULL,\"\n# \t\" `username` varchar(32) NOT NULL,\"\n# \t\" `geo_lat` flo... | false |
3,845 | 9f3b7d6dbf57157b5ebd6ad72f46befc94798a5f | def count_words(word):
count = 0
count = len(word.split())
return count
if __name__ == '__main__':
print count_words("Boj is dope")
| [
"def count_words(word):\n\tcount = 0\n\tcount = len(word.split())\n\treturn count\n\n\nif __name__ == '__main__':\n\tprint count_words(\"Boj is dope\")\n"
] | true |
3,846 | d0d86d8b5b276218add6dd11a44d5c3951cc4e14 | from django.db.models import Q
from django.contrib.auth.mixins import LoginRequiredMixin
from django.http import HttpResponseRedirect
from django.shortcuts import render, redirect
from django.views.generic import ListView, DetailView, CreateView, UpdateView, DeleteView
from carga_horaria.models import Profesor, Asignat... | [
"from django.db.models import Q\nfrom django.contrib.auth.mixins import LoginRequiredMixin\nfrom django.http import HttpResponseRedirect\nfrom django.shortcuts import render, redirect\nfrom django.views.generic import ListView, DetailView, CreateView, UpdateView, DeleteView\nfrom carga_horaria.models import Profeso... | false |
3,847 | ad1aa69f92f104ac8b82aca3c0a64ce3de48b36d | # Copyright (c) 2021 Koichi Sakata
from pylib_sakata import init as init
# uncomment the follows when the file is executed in a Python console.
# init.close_all()
# init.clear_all()
import os
import shutil
import numpy as np
from control import matlab
from pylib_sakata import ctrl
from pylib_sakata import plot
prin... | [
"# Copyright (c) 2021 Koichi Sakata\n\n\nfrom pylib_sakata import init as init\n# uncomment the follows when the file is executed in a Python console.\n# init.close_all()\n# init.clear_all()\n\nimport os\nimport shutil\nimport numpy as np\nfrom control import matlab\nfrom pylib_sakata import ctrl\nfrom pylib_sakata... | false |
3,848 | 599c5c02397f283eb00f7343e65c5cb977442e38 | from django import forms
from .models import Project
from user.models import User
from assets.models import Assets
class CreateProjectForm(forms.ModelForm):
project_name = forms.CharField(
label='项目名',
widget=forms.TextInput(
attrs={"class": "form-control"}
)
)
project_... | [
"from django import forms\nfrom .models import Project\nfrom user.models import User\nfrom assets.models import Assets\n\n\nclass CreateProjectForm(forms.ModelForm):\n project_name = forms.CharField(\n label='项目名',\n widget=forms.TextInput(\n attrs={\"class\": \"form-control\"}\n ... | false |
3,849 | dabc38db6a5c4d97e18be2edc9d4c6203e264741 | from django import forms
from django.http import JsonResponse
from django.views.decorators.csrf import csrf_exempt
import time
from page.models import Submit, Assignment
class UploadFileForm(forms.ModelForm):
class Meta:
model = Submit
fields = ['email', 'student_no', 'file']
@csrf_exempt
def up... | [
"from django import forms\nfrom django.http import JsonResponse\nfrom django.views.decorators.csrf import csrf_exempt\nimport time\nfrom page.models import Submit, Assignment\n\n\nclass UploadFileForm(forms.ModelForm):\n class Meta:\n model = Submit\n fields = ['email', 'student_no', 'file']\n\n\n@... | false |
3,850 | 2fd40f4d69223933d53d8ed2abd5f6d3ccd2f509 | from django.shortcuts import render
from django.views.generic.base import View
from .models import Article, Tag, Category
from pure_pagination import Paginator, EmptyPage, PageNotAnInteger
class ArticleView(View):
'''文章详情页'''
def get(self, request, article_id):
# 文章详情
article = Article.object... | [
"from django.shortcuts import render\nfrom django.views.generic.base import View\nfrom .models import Article, Tag, Category\nfrom pure_pagination import Paginator, EmptyPage, PageNotAnInteger\n\n\nclass ArticleView(View):\n '''文章详情页'''\n\n def get(self, request, article_id):\n # 文章详情\n article ... | false |
3,851 | 5da61b4cd8e4faf135b49396d3b346a219bf73f6 | import os
from src.model_manager import ModelManager
dir_path = os.path.dirname(os.path.realpath(__file__))
config_file = '{}/data/config/config_1.json'.format(dir_path)
model_dir = '{}/data/models'.format(dir_path)
def test_init():
mm = ModelManager(config_file, model_dir)
def test_predict():
pass
| [
"import os\n\nfrom src.model_manager import ModelManager\n\ndir_path = os.path.dirname(os.path.realpath(__file__))\nconfig_file = '{}/data/config/config_1.json'.format(dir_path)\nmodel_dir = '{}/data/models'.format(dir_path)\n\n\ndef test_init():\n mm = ModelManager(config_file, model_dir)\n\n\ndef test_predict(... | false |
3,852 | 5a2106f5255493d2f6c8cb9e06a2666c8c55ed38 | """
Suffix Arrays - Optimized O(n log n) - prefix doubling
A suffix is a non-empty substring at the end of the string. A suffix array
contains all the sorted suffixes of a string
A suffix array provides a space efficient alternative to a suffix tree which
itself is a compressed version of a trie. Suffix array can do ... | [
"\"\"\"\nSuffix Arrays - Optimized O(n log n) - prefix doubling\n\nA suffix is a non-empty substring at the end of the string. A suffix array\ncontains all the sorted suffixes of a string\n\nA suffix array provides a space efficient alternative to a suffix tree which\nitself is a compressed version of a trie. Suffi... | false |
3,853 | 44e9fd355bfab3f007c5428e8a5f0930c4011646 | 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... | [
"from flask import Flask, jsonify, abort, make_response\nfrom matchtype import matchtyper\nfrom db import db_handle\nimport sys\n\napi = Flask(__name__)\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 ... | false |
3,854 | f87d08f3bb6faa237cce8379de3aaaa3270a4a34 | from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from rasa_core.actions.action import Action
from rasa_core.events import SlotSet
from rasa_core.dispatcher import Button, Element, Dispatcher
import json
import pickle
class ActionWeather(Action):
def na... | [
"from __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import unicode_literals\n\nfrom rasa_core.actions.action import Action\nfrom rasa_core.events import SlotSet\nfrom rasa_core.dispatcher import Button, Element, Dispatcher\nimport json\nimport pickle\n\nclass ActionWeather(Acti... | false |
3,855 | 309090167c2218c89494ce17f7a25bd89320a202 | from google.appengine.api import users
from google.appengine.ext import ndb
from datetime import datetime
from datetime import timedelta
import os
import logging
import webapp2
import jinja2
JINJA_ENVIRONMENT = jinja2.Environment(
loader=jinja2.FileSystemLoader(os.path.dirname(__file__)),
extensions=['jinja2.... | [
"from google.appengine.api import users\nfrom google.appengine.ext import ndb\nfrom datetime import datetime\nfrom datetime import timedelta\nimport os\nimport logging\n\nimport webapp2\nimport jinja2\n\nJINJA_ENVIRONMENT = jinja2.Environment(\n loader=jinja2.FileSystemLoader(os.path.dirname(__file__)),\n ext... | false |
3,856 | 6162911befc8ad37591f7c19b14b349c655ccac0 | def generator(factor, modulus=-1, maxx=2147483647):
def next(prev):
nxt = (prev*factor) % maxx
if modulus > 0:
while nxt % modulus != 0:
nxt = (nxt * factor) % maxx
return nxt
return next
def main(a, b, a_mod=-1, b_mod=-1, N=40000000, a_fact=16807, b_fact=48... | [
"def generator(factor, modulus=-1, maxx=2147483647):\n def next(prev):\n nxt = (prev*factor) % maxx\n if modulus > 0:\n while nxt % modulus != 0:\n nxt = (nxt * factor) % maxx\n return nxt\n return next\n\n\ndef main(a, b, a_mod=-1, b_mod=-1, N=40000000, a_fact=1... | false |
3,857 | fc9742ceb3c38a5f8c1ad1f030d76103ba0a7a81 | # Generated by Django 3.2.7 on 2021-09-23 07:33
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('sms_consumer', '0006_auto_20210923_0733'),
]
operations = [
migrations.RemoveField(
model_name='smslogmodel',
name='hello',
... | [
"# Generated by Django 3.2.7 on 2021-09-23 07:33\n\nfrom django.db import migrations\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('sms_consumer', '0006_auto_20210923_0733'),\n ]\n\n operations = [\n migrations.RemoveField(\n model_name='smslogmodel',\n ... | false |
3,858 | e6c7b15e5b42cfe6c5dec2eaf397b67afd716ebd | myfavoritenumber = 5
print(myfavoritenumber)
x=5
x=x+1
print(x)
x,y,z=1,2,3
print(x,y,z)
| [
"myfavoritenumber = 5\nprint(myfavoritenumber)\nx=5\nx=x+1\nprint(x)\nx,y,z=1,2,3\nprint(x,y,z)\n",
"myfavoritenumber = 5\nprint(myfavoritenumber)\nx = 5\nx = x + 1\nprint(x)\nx, y, z = 1, 2, 3\nprint(x, y, z)\n",
"<assignment token>\nprint(myfavoritenumber)\n<assignment token>\nprint(x)\n<assignment token>\npr... | false |
3,859 | 03e92eae4edb4bdbe9fa73e39e7d5f7669746fe5 | from integral_image import calc_integral_image
class Region:
def __init__(self, x, y, width, height):
self.x = x
self.y = y
self.width = width
self.height = height
def calc_feature(self, cumul_sum):
yy = self.y + self.height
xx = self.x + self.width
... | [
"from integral_image import calc_integral_image\n\nclass Region:\n def __init__(self, x, y, width, height):\n self.x = x\n self.y = y\n self.width = width\n self.height = height\n \n def calc_feature(self, cumul_sum):\n yy = self.y + self.height\n xx = self.x + sel... | false |
3,860 | 921c45af3ba34a1b12657bf4189fc8dd66fa44a6 | import tensorflow as tf
import numpy as np
import tensorflow_datasets as tfds
print(tf.__version__)
imdb, info = tfds.load("imdb_reviews", with_info=True, as_supervised=True)
train_data = imdb['train']
test_data = imdb['test']
# 25000 in each set
training_sentences = []
training_labels = []
testing_sentences = []
... | [
"import tensorflow as tf\nimport numpy as np\nimport tensorflow_datasets as tfds\nprint(tf.__version__)\n\n\nimdb, info = tfds.load(\"imdb_reviews\", with_info=True, as_supervised=True)\n\ntrain_data = imdb['train']\ntest_data = imdb['test']\n# 25000 in each set\n\ntraining_sentences = []\ntraining_labels = []\n\nt... | false |
3,861 | 88071df9367804b1c6e2b1c80da178ab7658e7a4 | # Copyright (c) 2018, Raul Astudillo
import numpy as np
from copy import deepcopy
class BasicModel(object):
"""
Class for handling a very simple model that only requires saving the evaluated points (along with their corresponding outputs) so far.
"""
analytical_gradient_prediction = True
def __in... | [
"# Copyright (c) 2018, Raul Astudillo\n\nimport numpy as np\nfrom copy import deepcopy\n\nclass BasicModel(object):\n \"\"\"\n Class for handling a very simple model that only requires saving the evaluated points (along with their corresponding outputs) so far.\n \"\"\"\n analytical_gradient_prediction ... | false |
3,862 | d0997f5001090dd8925640cd5b0f3eb2e6768113 | #!/usr/bin/env python
from pymongo import MongoClient
import serial
import sys, os, datetime
os.system('sudo stty -F /dev/ttyS0 1200 sane evenp parenb cs7 -crtscts')
SERIAL = '/dev/ttyS0'
try:
ser = serial.Serial(
port=SERIAL,
baudrate = 1200,
parity=serial.PARITY_EVEN,
stopbits=serial.STOPBITS_ON... | [
"#!/usr/bin/env python\n\n\nfrom pymongo import MongoClient\nimport serial\nimport sys, os, datetime\n\nos.system('sudo stty -F /dev/ttyS0 1200 sane evenp parenb cs7 -crtscts')\n\nSERIAL = '/dev/ttyS0'\ntry:\n ser = serial.Serial(\n port=SERIAL,\n baudrate = 1200,\n parity=serial.PARITY_EVEN,\n stopbit... | true |
3,863 | f2abb7ea3426e37a10e139d83c33011542e0b3d1 | from .menu import menu
from .create_portfolio import create_portfolio
from .search import search
from .list_assets import list_assets
from .add_transaction import add_transaction
from .stats import stats
from .info import info | [
"from .menu import menu\nfrom .create_portfolio import create_portfolio\nfrom .search import search\nfrom .list_assets import list_assets\nfrom .add_transaction import add_transaction\nfrom .stats import stats\nfrom .info import info",
"from .menu import menu\nfrom .create_portfolio import create_portfolio\nfrom ... | false |
3,864 | 0402096f215ae600318d17bc70e5e3067b0a176b | from django.core.paginator import Paginator, EmptyPage
from django.shortcuts import render
from django.views import View
from django.contrib.auth.mixins import LoginRequiredMixin
from logging import getLogger
from django_redis import get_redis_connection
from decimal import Decimal
import json
from django import http
f... | [
"from django.core.paginator import Paginator, EmptyPage\nfrom django.shortcuts import render\nfrom django.views import View\nfrom django.contrib.auth.mixins import LoginRequiredMixin\nfrom logging import getLogger\nfrom django_redis import get_redis_connection\nfrom decimal import Decimal\nimport json\nfrom django ... | false |
3,865 | 62d0818395a6093ebf2c410aaadeb8a0250707ab | # This is a generated file, do not edit
from typing import List
import pydantic
from ..rmf_fleet_msgs.DockParameter import DockParameter
class Dock(pydantic.BaseModel):
fleet_name: str = "" # string
params: List[DockParameter] = [] # rmf_fleet_msgs/DockParameter
class Config:
orm_mode = True... | [
"# This is a generated file, do not edit\n\nfrom typing import List\n\nimport pydantic\n\nfrom ..rmf_fleet_msgs.DockParameter import DockParameter\n\n\nclass Dock(pydantic.BaseModel):\n fleet_name: str = \"\" # string\n params: List[DockParameter] = [] # rmf_fleet_msgs/DockParameter\n\n class Config:\n ... | false |
3,866 | 47cee0c659976a2b74e2bb07f6c4d622ceab7362 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | [
"# Licensed to the Apache Software Foundation (ASF) under one\n# or more contributor license agreements. See the NOTICE file\n# distributed with this work for additional information\n# regarding copyright ownership. The ASF licenses this file\n# to you under the Apache License, Version 2.0 (the\n# \"License\"); y... | false |
3,867 | 3b4799f43ec497978bea3ac7ecf8c6aaeb2180b4 | # coding: utf8
from __future__ import absolute_import
import numpy as np
def arr2str(arr, sep=", ", fmt="{}"):
"""
Make a string from a list seperated by ``sep`` and each item formatted
with ``fmt``.
"""
return sep.join([fmt.format(v) for v in arr])
def indent_wrap(s, indent=0, wrap=80):
"... | [
"# coding: utf8\n\nfrom __future__ import absolute_import\n\nimport numpy as np\n\n\ndef arr2str(arr, sep=\", \", fmt=\"{}\"):\n \"\"\"\n Make a string from a list seperated by ``sep`` and each item formatted\n with ``fmt``.\n \"\"\"\n return sep.join([fmt.format(v) for v in arr])\n\n\ndef indent_wra... | false |
3,868 | 4c3a27bf1f7e617f4b85dc2b59efa184751b69ac | import os
from redis import Redis
try:
if os.environ.get('DEBUG'):
import settings_local as settings
else:
import settings_prod as settings
except ImportError:
import settings
redis_env = os.environ.get('REDISTOGO_URL')
if redis_env:
redis = Redis.from_url(redis_env)
elif getattr(se... | [
"import os\n\nfrom redis import Redis\n\ntry:\n if os.environ.get('DEBUG'):\n import settings_local as settings\n else:\n import settings_prod as settings\nexcept ImportError:\n import settings\n\n\nredis_env = os.environ.get('REDISTOGO_URL')\n\nif redis_env:\n redis = Redis.from_url(redis... | false |
3,869 | 0588aad1536a81d047a2a2b91f83fdde4d1be974 | from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name = 'index'),
path('about/', views.about, name='about'),
path('contact/', views.contact, name= 'contact'),
path('category/', views.category, name='category'),
path('product/<str:id>/<slug:slug>',views.product... | [
"from django.urls import path\nfrom . import views\n\n\nurlpatterns = [\n path('', views.index, name = 'index'),\n path('about/', views.about, name='about'),\n path('contact/', views.contact, name= 'contact'),\n path('category/', views.category, name='category'),\n path('product/<str:id>/<slug:slug>'... | false |
3,870 | bd2a5c2dd3eef5979c87a488fb584dce740ccb05 | import io
import os
import sys
import whwn
from setuptools import setup, find_packages
from setuptools.command.test import test as TestCommand
here = os.path.abspath(os.path.dirname(__file__))
with open('README.md') as readme:
long_description = readme.read()
with open('requirements.txt') as reqs:
install_re... | [
"import io\nimport os\nimport sys\nimport whwn\nfrom setuptools import setup, find_packages\nfrom setuptools.command.test import test as TestCommand\n\nhere = os.path.abspath(os.path.dirname(__file__))\n\nwith open('README.md') as readme:\n long_description = readme.read()\n\nwith open('requirements.txt') as req... | false |
3,871 | e5e460eb704e2ab5f747d1beee05e012ea95fbd2 | class UnknownResponseFormat(Exception):
pass
| [
"class UnknownResponseFormat(Exception):\n pass\n",
"<class token>\n"
] | false |
3,872 | 283b93437072f0fd75d75dab733ecab05dc9e1f3 | #!/usr/bin/env python3
import logging
import datetime
import os
import time
import json
import prod
import secret
from logging.handlers import RotatingFileHandler
import requests
import sns
from kafka import KafkaProducer
logger = logging.getLogger()
logger.setLevel('INFO')
log_path = os.path.basename(__file__).split... | [
"#!/usr/bin/env python3\nimport logging\nimport datetime\nimport os\nimport time\nimport json\n\nimport prod\nimport secret\nfrom logging.handlers import RotatingFileHandler\nimport requests\nimport sns\nfrom kafka import KafkaProducer\n\nlogger = logging.getLogger()\nlogger.setLevel('INFO')\nlog_path = os.path.bas... | false |
3,873 | d90aeaaa682b371afb4771ecfbf1077fc12520b4 | from django.contrib import admin
# Register your models here.
from django.contrib import admin
from practice_app.models import Person
class PersonAdmin(admin.ModelAdmin):
pass
admin.site.register(Person) | [
"from django.contrib import admin\n\n# Register your models here.\nfrom django.contrib import admin\nfrom practice_app.models import Person\n\n\nclass PersonAdmin(admin.ModelAdmin):\n pass\n\nadmin.site.register(Person)",
"from django.contrib import admin\nfrom django.contrib import admin\nfrom practice_app.mo... | false |
3,874 | 2ae953d1d53c47da10ea4c8aace186eba0708ad0 | # Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np
import pylab as pb
from .. import kern
from ..core import model
from ..util.linalg import pdinv,mdot
from ..util.plot import gpplot,x_frame1D,x_frame2D, Tango
from ..likelihoods import E... | [
"# Copyright (c) 2012, GPy authors (see AUTHORS.txt).\n# Licensed under the BSD 3-clause license (see LICENSE.txt)\n\n\nimport numpy as np\nimport pylab as pb\nfrom .. import kern\nfrom ..core import model\nfrom ..util.linalg import pdinv,mdot\nfrom ..util.plot import gpplot,x_frame1D,x_frame2D, Tango\nfrom ..likel... | true |
3,875 | 55a392d63838cbef027f9cf525999c41416e3575 | import torch
from torch import nn
from torch.nn import functional as F
from models.blocks import UnetConv3, MultiAttentionBlock, UnetGridGatingSignal3, UnetUp3_CT, UnetDsv3
class AttentionGatedUnet3D(nn.Module):
"""
Attention Gated Unet for 3D semantic segmentation.
Args:
config: Mus... | [
"import torch\nfrom torch import nn\nfrom torch.nn import functional as F\n\nfrom models.blocks import UnetConv3, MultiAttentionBlock, UnetGridGatingSignal3, UnetUp3_CT, UnetDsv3\n\n\nclass AttentionGatedUnet3D(nn.Module):\n \"\"\"\n Attention Gated Unet for 3D semantic segmentation.\n\n Args:\n ... | false |
3,876 | bd2c327915c1e133a6e7b7a46290369440d50347 | #import fungsi_saya as fs
# from fungsi_saya import kalkulator as k
# hasil = k(10,5,'+')
# print(hasil)
from kelas import Siswa
siswa_1 = Siswa('Afif', "A.I.", 17, 'XII IPA')
siswa_2 = Siswa('Bayu', 'Sudrajat', 20, 'XII IPS')
siswa_3 = Siswa('Bayu', 'Sudrajat', 20, 'XII IPS')
siswa_4 = Siswa('Bayu', 'Sudrajat', 20,... | [
"#import fungsi_saya as fs\n# from fungsi_saya import kalkulator as k\n\n# hasil = k(10,5,'+')\n# print(hasil)\n\nfrom kelas import Siswa\n\nsiswa_1 = Siswa('Afif', \"A.I.\", 17, 'XII IPA')\nsiswa_2 = Siswa('Bayu', 'Sudrajat', 20, 'XII IPS')\nsiswa_3 = Siswa('Bayu', 'Sudrajat', 20, 'XII IPS')\nsiswa_4 = Siswa('Bayu... | false |
3,877 | a7f348b258e1d6b02a79c60e4fe54b6d53801f70 | # coding=utf-8
"""
author: wlc
function: 百科检索数据层
"""
# 引入外部库
import json
import re
from bs4 import BeautifulSoup
# 引入内部库
from src.util.reptile import *
class EncyclopediaDao:
@staticmethod
def get_key_content (key: str) -> list:
"""
获取指定关键字的百科内容检索内容
:param key:
:return:
"""
# 1.参数设置
url = 'https://... | [
"# coding=utf-8\n\n\"\"\"\nauthor: wlc\nfunction: 百科检索数据层\n\"\"\"\n\n# 引入外部库\nimport json\nimport re\nfrom bs4 import BeautifulSoup\n\n# 引入内部库\nfrom src.util.reptile import *\n\n\nclass EncyclopediaDao:\n\t@staticmethod\n\tdef get_key_content (key: str) -> list:\n\t\t\"\"\"\n\t\t获取指定关键字的百科内容检索内容\n\t\t:param key:\n\... | false |
3,878 | 03da813650d56e7ab92885b698d4af3a51176903 | import datetime
with open('D:\Documents\PythonDocs\ehmatthes-pcc-f555082\chapter_10\programming.txt') as f_obj:
lines = f_obj.readlines()
m_lines = []
for line in lines:
m_line = line.replace('python', 'C#')
m_lines.append(m_line)
with open('D:\Documents\PythonDocs\ehmatthes-pcc-f555082\chapter_10\prog... | [
"import datetime\n\n\nwith open('D:\\Documents\\PythonDocs\\ehmatthes-pcc-f555082\\chapter_10\\programming.txt') as f_obj:\n lines = f_obj.readlines()\n\nm_lines = []\n\nfor line in lines:\n m_line = line.replace('python', 'C#')\n m_lines.append(m_line)\n\nwith open('D:\\Documents\\PythonDocs\\ehmatthes-pc... | false |
3,879 | a85d06d72b053b0ef6cb6ec2ba465bfb8975b28e | def sum_numbers(numbers=None):
sum = 0
if numbers == None:
for number in range(1,101):
sum += number
return sum
for number in numbers:
sum += number
return sum
| [
"def sum_numbers(numbers=None):\n sum = 0\n if numbers == None:\n for number in range(1,101):\n sum += number\n return sum\n\n for number in numbers:\n sum += number\n return sum\n\n\n",
"def sum_numbers(numbers=None):\n sum = 0\n if numbers == None:\n for ... | false |
3,880 | 1b645ab0a48b226e26009f76ea49fd3f10f5cc7b | #デフォルト引数の破壊
#以下、破壊的な操作
def sample(x, arg=[]):
arg.append(x)
return arg
print(sample(1))
print(sample(2))
print(sample(3))
#対策・・・デフォルト引数にはイミュータブルなものを使用する
def sample(x, arg=None):
if arg is None:
arg = []
arg.append(x)
return arg
print(sample(1))
print(sample(2))
pr... | [
"#デフォルト引数の破壊\r\n#以下、破壊的な操作\r\ndef sample(x, arg=[]):\r\n arg.append(x)\r\n return arg\r\n\r\nprint(sample(1))\r\nprint(sample(2))\r\nprint(sample(3))\r\n\r\n#対策・・・デフォルト引数にはイミュータブルなものを使用する\r\ndef sample(x, arg=None):\r\n if arg is None:\r\n arg = []\r\n \r\n arg.append(x)\r\n return arg\r\n\... | false |
3,881 | d724b4f57cf7683d6b6385bf991ed23a5dd8208f | """added Trail.Geometry without srid
Revision ID: 56afb969b589
Revises: 2cf6c7c1f0d7
Create Date: 2014-12-05 18:13:55.512637
"""
# revision identifiers, used by Alembic.
revision = '56afb969b589'
down_revision = '2cf6c7c1f0d7'
from alembic import op
import sqlalchemy as sa
import flask_admin
import geoalchemy2
de... | [
"\"\"\"added Trail.Geometry without srid\n\nRevision ID: 56afb969b589\nRevises: 2cf6c7c1f0d7\nCreate Date: 2014-12-05 18:13:55.512637\n\n\"\"\"\n\n# revision identifiers, used by Alembic.\nrevision = '56afb969b589'\ndown_revision = '2cf6c7c1f0d7'\n\nfrom alembic import op\nimport sqlalchemy as sa\nimport flask_admi... | false |
3,882 | 84e84d9f35702c2572ad5e7daa92a271674986dc | #Coded by J. Prabhath
#14th April, 2020
#Released under GNU GPL
import numpy as np
import matplotlib.pyplot as plt
from scipy import signal
K = 96
Kp = 1
Td = 1.884
s1 = signal.lti([-1/Td],[0,-2,-4,-6], K)
s2 = signal.lti([],[0,-2,-4,-6], K)
w,mag1,phase1 = signal.bode(s1)
_,mag2,phase2 = signal.bode(s2)
plt.xlabel... | [
"#Coded by J. Prabhath\n#14th April, 2020\n#Released under GNU GPL\n\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom scipy import signal\n\nK = 96\nKp = 1\nTd = 1.884\n\ns1 = signal.lti([-1/Td],[0,-2,-4,-6], K)\ns2 = signal.lti([],[0,-2,-4,-6], K)\nw,mag1,phase1 = signal.bode(s1)\n_,mag2,phase2 = signal.... | false |
3,883 | e2948c0ad78ce210b08d65b3e0f75d757e286ad9 | # 在写Python爬虫的时候，最麻烦的不是那些海量的静态网站，而是那些通过JavaScript获取数据的站点。Python本身对js的支持就不好，所以就有良心的开发者来做贡献了，这就是Selenium，他本身可以模拟真实的浏览器，浏览器所具有的功能他一个都不拉下，加载js更是小菜了
# https://zhuanlan.zhihu.com/p/27115580
# C:\Users\hedy\AppData\Local\Programs\Python\Python36\Scripts\;C:\Users\hedy\AppData\Local\Programs\Python\Python36\
# pip 换源
# http://... | [
"# 在写Python爬虫的时候，最麻烦的不是那些海量的静态网站，而是那些通过JavaScript获取数据的站点。Python本身对js的支持就不好，所以就有良心的开发者来做贡献了，这就是Selenium，他本身可以模拟真实的浏览器，浏览器所具有的功能他一个都不拉下，加载js更是小菜了\n# https://zhuanlan.zhihu.com/p/27115580\n# C:\\Users\\hedy\\AppData\\Local\\Programs\\Python\\Python36\\Scripts\\;C:\\Users\\hedy\\AppData\\Local\\Programs\\Python\\Python... | false |
3,884 | 7e71c97070285b051b23448c755e3d41b2909dda | class Solution(object):
def removeNthFromEnd(self, head, n):
dummy = ListNode(-1)
dummy.next = head
first, second = dummy, dummy
for i in range(n):
first = first.next
while first.next:
first = first.next
second = second.next
second.... | [
"class Solution(object):\n def removeNthFromEnd(self, head, n):\n dummy = ListNode(-1)\n dummy.next = head\n first, second = dummy, dummy\n for i in range(n):\n first = first.next\n while first.next:\n first = first.next\n second = second.next\n... | false |
3,885 | b0a51877b59e14eefdd662bac468e8ce12343e6b | from django.db import models
# Create your models here.
class Glo_EstadoPlan(models.Model):
descripcion_estado = models.CharField(max_length=100)
def __str__(self):
return '{}'.format(self.descripcion_estado) | [
"from django.db import models\r\n\r\n# Create your models here.\r\nclass Glo_EstadoPlan(models.Model):\r\n descripcion_estado = models.CharField(max_length=100)\r\n\r\n def __str__(self):\r\n return '{}'.format(self.descripcion_estado)",
"from django.db import models\n\n\nclass Glo_EstadoPlan(models.... | false |
3,886 | 22b9868063d6c5fc3f8b08a6e725fff40f4a1a03 | from __future__ import annotations
import math
from abc import abstractmethod
from pytown_core.patterns.behavioral import Command
from pytown_core.serializers import IJSONSerializable
from .buildings import BuildingProcess, BuildingTransaction
from .buildings.factory import BuildingFactory
from .check import (
A... | [
"from __future__ import annotations\n\nimport math\nfrom abc import abstractmethod\n\nfrom pytown_core.patterns.behavioral import Command\nfrom pytown_core.serializers import IJSONSerializable\n\nfrom .buildings import BuildingProcess, BuildingTransaction\nfrom .buildings.factory import BuildingFactory\nfrom .check... | false |
3,887 | cc1b3c3c65e8832316f72cbf48737b21ee4a7799 | ###########################################################################
# This file provides maintenance on the various language files
# 1. Create new "xx/cards_xx.json" files that have entries ordered as:
# a. the card_tag entries in "cards_db.json"
# b. the group_tag entries as found in "cards_db.json"
# ... | [
"###########################################################################\n# This file provides maintenance on the various language files\n# 1. Create new \"xx/cards_xx.json\" files that have entries ordered as:\n# a. the card_tag entries in \"cards_db.json\"\n# b. the group_tag entries as found in \"car... | false |
3,888 | 263347d1d445643f9c84e36a8cbb5304581ebaf6 | from django.urls import path
from django.views.decorators.csrf import csrf_exempt
from .views import TestView, index, setup_fraud_detection, verify_testing_works
urlpatterns = [
path('test/<str:name>/', index, name='index'),
path('ml/setup/', setup_fraud_detection, name='fraud_detection_setup'),
path('ml/... | [
"from django.urls import path\nfrom django.views.decorators.csrf import csrf_exempt\n\nfrom .views import TestView, index, setup_fraud_detection, verify_testing_works\n\nurlpatterns = [\n path('test/<str:name>/', index, name='index'),\n path('ml/setup/', setup_fraud_detection, name='fraud_detection_setup'),\n... | false |
3,889 | 8c458d66ab2f9a1bf1923eecb29c3c89f2808d0b | '''
www.autonomous.ai
Phan Le Son
plson03@gmail.com
'''
import speech_recognition as sr
import pyaudio
from os import listdir
from os import path
import time
import wave
import threading
import numpy as np
import BF.BeamForming as BF
import BF.Parameter as PAR
import BF.asr_wer as wer
import BF.mic_array_read as READ
i... | [
"'''\nwww.autonomous.ai\nPhan Le Son\nplson03@gmail.com\n'''\nimport speech_recognition as sr\nimport pyaudio\nfrom os import listdir\nfrom os import path\nimport time\nimport wave\nimport threading\nimport numpy as np\nimport BF.BeamForming as BF\nimport BF.Parameter as PAR\nimport BF.asr_wer as wer\nimport BF.mic... | false |
3,890 | 606a6e7ecc58ecbb11aa53602599e671514bc537 | 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... | [
"import torch.utils.data\nimport torch\nimport math\nfrom util.helpers import *\nfrom collections import defaultdict as ddict\n\nclass _Collate:\n def __init__(self, ):\n pass\n\n def collate(self, batch):\n return torch.squeeze(torch.from_numpy(np.array(batch)))\n\n\nclass PR:\n dataset = No... | false |
3,891 | d133a07f69d2dadb5559d881b01050abb2a9602b | #!/usr/bin/env python
# ! -*- coding: utf-8 -*-
'''
@Time : 2020/6/4 16:33
@Author : MaohuaYang
@Contact : maohuay@hotmail.com
@File : pinganFudan-GUI.py
@Software: PyCharm
'''
import time
import requests
import tkinter as tk
from login import Ehall
def set_win_center(root, curWidth='', curHight=''):
"""
... | [
"#!/usr/bin/env python\n# ! -*- coding: utf-8 -*-\n'''\n@Time : 2020/6/4 16:33\n@Author : MaohuaYang\n@Contact : maohuay@hotmail.com\n@File : pinganFudan-GUI.py\n@Software: PyCharm\n'''\n\nimport time\nimport requests\nimport tkinter as tk\nfrom login import Ehall\n\ndef set_win_center(root, curWidth='', cur... | false |
3,892 | 1dab0084666588f61d0f9f95f88f06ed9d884e5b | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'KEY.ui'
#
# Created by: PyQt5 UI code generator 5.11.3
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_KEY(object):
def setupUi(self, KEY):
KEY.setObjectName("KEY")
... | [
"# -*- coding: utf-8 -*-\n\n# Form implementation generated from reading ui file 'KEY.ui'\n#\n# Created by: PyQt5 UI code generator 5.11.3\n#\n# WARNING! All changes made in this file will be lost!\n\nfrom PyQt5 import QtCore, QtGui, QtWidgets\n\nclass Ui_KEY(object):\n def setupUi(self, KEY):\n KEY.setOb... | false |
3,893 | bfd8385e8f4886b91dde59c04785134b9cd6a2b6 | # Generated by Django 3.1 on 2020-08-28 14:03
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api_rest', '0004_auto_20200828_0749'),
]
operations = [
migrations.RemoveField(
model_name='event',
name='user_id',
... | [
"# Generated by Django 3.1 on 2020-08-28 14:03\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('api_rest', '0004_auto_20200828_0749'),\n ]\n\n operations = [\n migrations.RemoveField(\n model_name='event',\n ... | false |
3,894 | e4a0f26afe8c78e4abbd85834c96ed5ba84e1f0b | import tensorflow as tf
import numpy as np
import math
import sys
import os
import numpy as np
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(BASE_DIR)
sys.path.append(os.path.join(BASE_DIR, '../utils'))
import tf_util
# from transform_nets import input_transform_net, feature_transform_net
import... | [
"import tensorflow as tf\nimport numpy as np\nimport math\nimport sys\nimport os\nimport numpy as np\nBASE_DIR = os.path.dirname(os.path.abspath(__file__))\nsys.path.append(BASE_DIR)\nsys.path.append(os.path.join(BASE_DIR, '../utils'))\nimport tf_util\n# from transform_nets import input_transform_net, feature_trans... | false |
3,895 | c8d27965df83eb3e673b3857ee700a8474826335 | #!/usr/bin/python
debug = 0
if debug == 1:
limit = [8,20]
n = 3
p = [[2,10],[10,12],[8,30],[1,5]]
#n = 1
# p = [[8,30]]
print limit
print n
print p
def isIn(arr):
if arr[0] > limit[1] or arr[1] < limit[0] or \
arr[1] == 0:
return False
else:
return True
... | [
"#!/usr/bin/python\n\n\ndebug = 0\n\nif debug == 1:\n limit = [8,20]\n n = 3\n p = [[2,10],[10,12],[8,30],[1,5]]\n #n = 1\n # p = [[8,30]] \n print limit\n print n\n print p\n\ndef isIn(arr):\n\n if arr[0] > limit[1] or arr[1] < limit[0] or \\\n arr[1] == 0:\n return False\n ... | true |
3,896 | 0f3e12f35cc29a71be5b8e6d367908e31c200c38 | from numpy import *
from numpy.linalg import*
preco = array(eval(input("Alimentos: ")))
alimento = array([[ 2, 1 ,4 ],
[1 , 2 , 0],
[2 , 3 , 2 ]])
r = dot(inv(alimento),preco.T) #
print("estafilococo: ", round(r[0] , 1))
print("salmonela: ", round(r[1], 1))
print("coli: ", round(r[2], 1))
if r[0] ... | [
"from numpy import *\nfrom numpy.linalg import*\n\npreco = array(eval(input(\"Alimentos: \")))\nalimento = array([[ 2, 1 ,4 ],\n\t\t\t\t\t\t[1 , 2 , 0], \n\t\t\t\t\t\t[2 , 3 , 2 ]])\n\nr = dot(inv(alimento),preco.T) # \n\n\nprint(\"estafilococo: \", round(r[0] , 1))\nprint(\"salmonela: \", round(r[1], 1))\nprint(... | false |
3,897 | bc1aefd0b0a87b80a10cecf00407b4608a6902b5 | #
# cuneiform_python.py
#
# Example showing how to create a custom Unicode set for parsing
#
# Copyright Paul McGuire, 2021
#
from typing import List, Tuple
import pyparsing as pp
class Cuneiform(pp.unicode_set):
"""Unicode set for Cuneiform Character Range"""
_ranges: List[Tuple[int, ...]] = [
(0x10... | [
"#\n# cuneiform_python.py\n#\n# Example showing how to create a custom Unicode set for parsing\n#\n# Copyright Paul McGuire, 2021\n#\nfrom typing import List, Tuple\nimport pyparsing as pp\n\n\nclass Cuneiform(pp.unicode_set):\n \"\"\"Unicode set for Cuneiform Character Range\"\"\"\n\n _ranges: List[Tuple[int... | false |
3,898 | 2874e05d6d5e0f13924e5920db22ea3343707dfa | _base_ = [
'../models/cascade_rcnn_r50_fpn.py',
#'coco_instance.py',
'../datasets/dataset.py',
'../runtime/valid_search_wandb_runtime.py',
'../schedules/schedule_1x.py'
]
pretrained = 'https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_tiny_patch4_window7_224.pth' # noqa
model... | [
"_base_ = [\n '../models/cascade_rcnn_r50_fpn.py',\n #'coco_instance.py',\n '../datasets/dataset.py',\n '../runtime/valid_search_wandb_runtime.py',\n '../schedules/schedule_1x.py'\n]\npretrained = 'https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_tiny_patch4_window7_224.pth' ... | false |
3,899 | 4d7696c832f9255fbc68040b61fde12e057c06fa | import numpy as np
import mysql.connector
from mysql.connector import Error
import matplotlib.pyplot as plt
def readData():
connection = mysql.connector.connect(host='localhost',database='cad_ultrasound',user='root',password='')
sql_select_Query = "SELECT id_pasien,nama,pathdata FROM datasets"
cu... | [
"import numpy as np\r\nimport mysql.connector\r\nfrom mysql.connector import Error\r\nimport matplotlib.pyplot as plt\r\n\r\ndef readData():\r\n connection = mysql.connector.connect(host='localhost',database='cad_ultrasound',user='root',password='')\r\n\r\n sql_select_Query = \"SELECT id_pasien,nama,pathdata ... | false |
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