index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
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"},
... |
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:
... |
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... |
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")... |
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... |
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 = [
#########################################... |
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):
... |
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... |
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 = "... |
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... |
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... |
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()
|
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()
... |
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',]
|
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... |
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... |
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))... |
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... |
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("... |
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 ==... |
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... |
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... |
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... |
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... |
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."""
... |
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... |
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... |
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... |
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... |
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
... |
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):... |
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... |
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... |
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... |
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 = ... |
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:... |
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... |
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... |
3,838 | 63a2c8b0c2eba2d5f9f82352196ef2b67d4d63b5 | inp = int(input())
print(bytes(inp))
|
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... |
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)
... |
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... |
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()
... |
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... |
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... |
3,845 | 9f3b7d6dbf57157b5ebd6ad72f46befc94798a5f | def count_words(word):
count = 0
count = len(word.split())
return count
if __name__ == '__main__':
print count_words("Boj is dope")
|
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... |
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... |
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_... |
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... |
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... |
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
|
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 ... |
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... |
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... |
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.... |
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... |
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',
... |
3,858 | e6c7b15e5b42cfe6c5dec2eaf397b67afd716ebd | myfavoritenumber = 5
print(myfavoritenumber)
x=5
x=x+1
print(x)
x,y,z=1,2,3
print(x,y,z)
|
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
... |
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 = []
... |
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... |
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... |
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 |
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... |
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... |
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... |
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):
"... |
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... |
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... |
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... |
3,871 | e5e460eb704e2ab5f747d1beee05e012ea95fbd2 | class UnknownResponseFormat(Exception):
pass
|
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... |
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) |
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... |
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... |
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,... |
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://... |
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... |
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
|
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... |
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... |
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... |
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://... |
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.... |
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) |
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... |
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"
# ... |
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/... |
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... |
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... |
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=''):
"""
... |
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")
... |
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',
... |
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... |
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
... |
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] ... |
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... |
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... |
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... |
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