text stringlengths 8 6.05M |
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from django.contrib import admin
from api.models import Item,Cart,Order
# Register your models here.
admin.site.register(Item)
admin.site.register(Cart)
admin.site.register(Order) |
#!/usr/bin/env python3
import sys
import time
from Nav_funs import Distance, Direction
import rospy
from geometry_msgs.msg import Point
#from mcu_control.msg import RoverPosition, AntennaGoal
def subscriber_callback(message):
rospy.loginfo(message)
if message.x < -900 or message.y < -900:
return
... |
# Written by Muhammad Sarmad
# Date : 31st July
# This file is only to ascertain the value of ZMAX and ZMIN
import torch
import torch.utils.data
import torch.nn.parallel
import Datasets
import models
import numpy as np
import argparse
import torchvision.transforms as transforms
import pc_transforms
np.random.seed(... |
from django.http import HttpResponse,Http404
from django.shortcuts import render
import datetime
def hello(request):
return HttpResponse('Hello world')
def root_page(request):
return HttpResponse('The root page!')
def current_date(request):
now = datetime.datetime.now()
context = {'current_date':now}... |
#!/usr/bin/env python3
from io import StringIO
from textwrap import dedent
import matplotlib.pyplot as plt
from pandas import read_csv
# %%
data = StringIO(dedent("""\
category,photon,eta_fd
theory,14.5,4.572
theory,15.0,4.448
theory,15.5,4.367
theory,16.0,4.307
theory,16.5,4.258
theory,1... |
from .WebHelper import WebHelper
from .models import Query, Counter
def create_counters():
queries = Query.objects.all()
for q in queries:
counter = Counter()
req = WebHelper(q.phrase, q.region)
counter.count = req.get_count()
counter.query = q
counter.save()
print(... |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import json
import os.path as op
# ----------------------------------------------------------------------
# Script qui permet de tracer les figures des résultats d'un entraînement
# d'un modèle.
# ---------------------------------------------------... |
from os import listdir, getcwd
from os.path import isfile, join
import json
def merge_file():
c_dir = getcwd() + f'/service_workers/data/'
onlyfiles = listdir(c_dir)
data = []
for filename in onlyfiles:
with open(getcwd() + f'/service_workers/data/{filename}', 'r') as fp:
data_colle... |
from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from model import Todo
app = FastAPI()
from database import(
fetchOneTodo,
fetchAllTodos,
createTodo,
updateTodo,
removeTodo,
)
origins = ['http://localhost:3000', 'http://localhost:4000']
app.add_middl... |
import RPi.GPIO as GPIO
import time
GPIO.setmode(GPIO.BOARD)
GPIO.setup(12, GPIO.OUT)
p = GPIO.PWM(12, 50)
p.start(7.5)
class DistanceSensor:
class servoMotion:
"""docstring for servoMotion."""
def __init__(self,angle,distance):
self.angle=0
self.distance=0
theta=0
def wallFinde... |
import numpy as np
import scipy.stats as st
import matplotlib.pyplot as plt
import pandas as pd
import sklearn as sk
from sklearn import decomposition
from ICA_noise import FastICA
mydata = pd.read_csv("/Users/tangyehui/UG_Project/dataset/personality/UKDA-7656-tab/tab/bbc_individual_level_data_file.tab", sep ="\t")
... |
from django.apps import AppConfig
class ArwebConfig(AppConfig):
name = 'Arweb'
|
from tortoise import Model, fields
class TimestampMixin:
created_at = fields.DatetimeField(auto_now_add=True)
updated_at = fields.DatetimeField(auto_now=True)
class AbstractBaseModel(Model):
id = fields.IntField(pk=True)
class Meta:
abstract = True
class User(AbstractBaseModel, TimestampM... |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.4 on 2016-03-08 10:00
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('annonces', '0002_auto_20160308_1056'),
]
operations = [
migrations.AlterFiel... |
from googletrans import Translator
import eel
def translate(text,dest,src):
tr = Translator()
translated = tr.translate(text,dest=dest,src=src)
eel.view_log_js(translated.text) |
import copy
import os
from operator import itemgetter
#pos1 = copy.deepcopy(pos) # copier une liste d'objets
def creer_sudoku() :
sudoku = [[1,2,3,4,5,6,7,8,9],[1,2,3,4,5,6,7,8,9],[1,2,3,4,5,6,7,8,9],[1,2,3,4,5,6,7,8,9],[1,2,3,4,5,6,7,8,9],[1,2,3,4,5,6,7,8,9],[1,2,3,4,5,6,7,8,9],[1,2,3,4,5,6,7,8,9],[1,2,3,4,5,6,7,... |
from Utils.parse import tfrecord_reader_dataset
import os
import tensorflow as tf
import matplotlib.pyplot as plt
if __name__ == "__main__":
epoch = 1
# 1.获取所有TFRecord文件的列表
dir = "D:\\data\\COVID19\\TFRecord"
files_name = os.listdir(dir)
train_files_name = [os.path.join(dir, name) for name in files... |
"""盤面の列挙
盤面を列挙し、gmlファイルに出力する。
"""
import gobbletgobblers as game
import player_ai as ai # ゲームAI.ミニマックスによる行動.ランダムな行動.
import networkx as nx
def main():
print()
print("盤面の列挙を行います。")
print("出力するファイル名を打ち込んで下さい(.gml含む):", end="")
filename = input()
if not filename:
print("filenameが正常に入力... |
import behaviors
import unittest
class TestTargetFollowingBehavior(unittest.TestCase):
# * {-45}-------{ 0 }-------{45}
# * | +-----[ +y]-----+ |
# * | | | |
# * | | | |
# * {-90} [-x] [0,0] [+x] {90}
# * | | | |
# * | | |... |
from django.urls import path
from . import views
app_name = 'chains'
urlpatterns = [
path('', views.index, name='index'),
path('view_chain/<int:story_id>/', views.view_chain, name='view_chain'),
path('get_details/<int:story_id>/', views.get_details, name='get_details')
# path('<int:question_id>/', view... |
__author__ = "Panagiotis Garefalakis"
__copyright__ = "Imperial College London"
# The MIT License (MIT)
#
# Copyright (c) 2016 Panagiotis Garefalakis
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the... |
# Generated by Django 2.2 on 2021-06-07 01:37
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('store_app', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='cart',
name='amount',
),
... |
# Work with Python 3.6
import os
import asyncio
import discord
from itertools import cycle
from discord.ext.commands import Bot
BOT_PREFIX = "."
client = Bot(command_prefix=BOT_PREFIX)
extensions = ['Events', 'Fun', 'Roller']
status = [
'against the Fallen.',
'against the Vex.',
... |
#ファイルを利用する
file = open('Company.txt', 'r', encoding='utf-8')
print(file.read())
file.close()
#自動で閉じるためにwithを利用します。
with open('Company.txt', 'r', encoding='utf-8') as file:
print(file.read())
#文字列を１行ずつ取得する
file = open('Company.txt', 'r')
for line in file:
print(line)
file.close()
#文字列を１行ずつ取得する(while)
file... |
#!/usr/bin/python
import math
n = 100000000
count = 3
isPrime = [True] * (n + 1)
k = int(math.sqrt(n))
for i in range(2, k + 1):
if isPrime[i]:
j = i * i
while j <= n:
isPrime[j] = False
j += i
def valid(num):
sq = int(math.sqrt(num))
for d in range(1, sq + 1):
... |
from django.db import models
from django.urls import reverse
from django.core.files.storage import FileSystemStorage
from django.contrib.auth.models import User
fs = FileSystemStorage(location='/media/img')
class Product(models.Model):
name = models.CharField(max_length=200, verbose_name = 'Название продукта' )
... |
'''
Utility functions for the monitoring and log generation.
'''
import time
import logging
def init_logger():
'''
Initialise the logger.
Returns:
logger (Logger): Logger to use for the monitoring.
'''
log_format = '%(asctime)s %(levelname)s %(message)s'
logger = logging.getLogger(... |
import os
import pickle
import subprocess
import warnings
from datetime import datetime
import fsspec
from rubicon_ml import client, domain
from rubicon_ml.client.utils.exception_handling import failsafe
from rubicon_ml.client.utils.tags import filter_children
from rubicon_ml.exceptions import RubiconException
clas... |
# -*- coding: utf-8 -*-
class Coche(object):
#Abstracción de los objetos coche.
def __init__(self, gasolina):
self.gasolina = gasolina
print ("Tenemos " + str(gasolina) + " litros")
def arrancar(self):
if self.gasolina > 0:
print ("Arranca")
else:
pri... |
# -*- coding: utf-8 -*-
##############################################################################
#
# Copyright (C) 2013-2015 Marcos Organizador de Negocios SRL http://marcos.do
# Write by Eneldo Serrata (eneldo@marcos.do)
#
##############################################################################
impor... |
# -*- coding: utf8 -*-
from aliyunsdkcore.client import AcsClient
from aliyunsdkcore.acs_exception.exceptions import ClientException
from aliyunsdkcore.acs_exception.exceptions import ServerException
from aliyunsdkecs.request.v20140526 import DescribeInstancesRequest
from aliyunsdkecs.request.v20140526 import StopInsta... |
from zutils.task.task_redis import TaskRedis
from zutils.tensorflow.tf_session import TFSession
from zutils.convert import convert_dict,convert_dict_log
from zutils.logger import Logger
from zutils.utils import relative_project_path
import traceback
import time
import json
import os
class Task:
def __init__(self, ... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('query', '0004_auto_20150507_1024'),
]
operations = [
migrations.CreateModel(
name='Newspaper',
field... |
from flask import Blueprint, jsonify, request
from mybib.bibtext.reader import load_from_string
from mybib.graphql.access_layer import EntityAlreadyExistsError
from mybib.graphql.access_layer import get_paper as get_paper_da
from mybib.graphql.access_layer import insert_paper
from mybib.web.authentication import requi... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('rentacar', '0001_initial'),
]
operations = [
migrations.AlterModelOptions(
name='rentacar',
options=... |
from blog.models import Entry, Comment, Category
from django.template import RequestContext
from django.http import HttpResponseRedirect, HttpResponse
from django.shortcuts import render_to_response
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from datetime import date
# Create your views h... |
# Generated by Django 3.0.3 on 2020-02-13 22:30
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Article',
fields=[
... |
from pylearn2.utils import serial
from glob import glob
import pickle
import os
import numpy as np
from copy import deepcopy
from sklearn.metrics import confusion_matrix
import itertools
import logging
from collections import Counter, OrderedDict
from braindecode.util import dict_equal, dict_is_subset
import shutil
log... |
# -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2017-03-06 05:38
from __future__ import unicode_literals
from django.db import migrations, models
import tinymce.models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
... |
import numpy as np
import sys
def sub_partition(S):
types = np.unique(S)
tuple_number = choose(len(types),2)
sub_partitions = []
for i in types:
for j in types:
if i != j:
# remove the first ith and jth elements
S = [e for e in S]
# add (i+j)th element
sub_partitions = np.append(sub_partitions,... |
"""
La idea es crear un script que tenga una funcion que me de Rc'\D' y R0'/D'
dandole como entrada beta, para toda i posible. Luego, dar un intervalo para
Rc/Ro y para R0/D y de la salida que me dio ver cuales valores de i dan un R0
y Rc que caigan en el intervalo, y guardar esos valores de i en un archivo, y
graf... |
# -*- coding: utf-8 -*-
import numpy as np
import pylab as pl
from sklearn.cluster import KMeans
from sklearn.decomposition import PCA
from sklearn.preprocessing import scale
from sklearn import metrics
# Для воспроизводимости случайного выбора центроидов из множества
# объектов в случае вызова kmeans с параметром in... |
import numpy as np
import math
# from sklearn.linear_model import LinearRegression
from curvature import calcurvature
from scipy.optimize import curve_fit
# prev_leftdy = 0
# prev_rightdy = 0
# prev_leftc = 0
# prev_rightc = 0
def curve(left_lane, right_lane):
xleft_plot = np.arange(5,40,0.01).reshape(-1,1)
... |
#!/usr/bin/env python3
"""
Analysis class to read a ROOT TTree of MC track information
and do jet-finding, and save response histograms.
Author: James Mulligan (james.mulligan@berkeley.edu)
"""
from __future__ import print_function
# General
import os
import sys
import argparse
# Data analysis and plotting... |
def search(budget,prices):
return ','.join([str(x) for x in sorted(prices) if x<=budget])
'''
You love coffee and want to know what beans you can afford to buy it.
The first argument to your search function will be a number which represents your budget.
The second argument will be an array of coffee bean prices.... |
from typing import Iterable, List
from parseridge.corpus.sentence import Sentence
from parseridge.corpus.signature import Signature
from parseridge.utils.helpers import Relation, T
from parseridge.utils.logger import LoggerMixin
class Relations(LoggerMixin):
def __init__(self, sentences: List[Sentence]):
... |
import pathlib
print(pathlib.Path(__file__).resolve().parents[3]) |
from django.contrib import admin
from products.models import *
admin.site.register(Vendor)
admin.site.register(Category)
admin.site.register(Product)
admin.site.register(Page)
|
import sys
# we need this hack to pass a static library
# from command line
last_opt = sys.argv[-1]
static_libs = [last_opt] if last_opt != "GUARD" else []
sys.argv = sys.argv[:-1]
from distutils.core import setup
from distutils.extension import Extension
from Cython.Build import cythonize
include_dirs = ['/Users/n... |
print("Muhammad Saad Hasan\n18B-117-CS\nPractice Problem 4.4")
def even(num):
for x in range(2,num):
if x%2==0 or x%3==0:
print(x,end=", ")
user = int(input("Please enter a number :"))
even(user)
|
import numpy as np
from isolation_forest.node import Node
from isolation_forest.tree import Tree
class TreeGrowerBasic:
def __init__(self, X, sample_size):
self.X = X
self.dim_cnt = self.X.shape[1]
self.sample_size = sample_size
self.indeces = np.arange(0, self.X.shape[0]... |
from unittest.case import TestCase
from pythonbrasil.lista_2_estrutura_de_decisao.ex_06_mostrar_maior_de_tres_numeros import obter_maior_numero
class ObterMaiorNumeroTests(TestCase):
def test_todos_numeros_iguais(self):
self.assertEqual(1, obter_maior_numero(1, 1, 1))
self.assertEqual(5, obter_m... |
import datetime
x = datetime.datetime.now()
print(x) # date present tanggal dan jam second dari system computer
print(x.year) # cetak tahun saat ini
print(x.month) # cetak bulan saat ini
a = datetime.datetime(2020, 6, 4)
print(a)
print(a.month)
print(x.strftime("%B")) # string dari nama month
print(x.strftime("%A... |
t1 = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31]
t2 = [ ' Janvier ' , ' Février ' , ' Mars ' , ' Avril ' , ' Mai ' , ' Juin ' ,
' Juillet ' , ' Août ' , ' Septembre ' , 'Octobre ' , ' Novembre ' , ' Décembre ' ]
a = 0
t3 = []
while a < len(t1):
t3.append(t2[a])
t3.append(t1[a])
a = a+1
print(t3)
|
import flask
from flask import Flask
import sklearn.externals
import joblib
from flask import render_template, request
import numpy as np
app = Flask(__name__)
model = joblib.load('model.pkl')
@app.route("/")
def home():
return render_template('Iris.html')
@app.route('/predict', methods=['POST'])
def mak... |
from inspect import stack # To write log
import matter_lib as matt
import structure as sct # Structure objects hierarchy
log_file_heading = 'File: '+__file__.split('/')[-1]+' '
class MRI_inspect(object):
files_MRI_path = ''
files_MRI_names = []
matter_obj_list = []
relat... |
n,m = map(int,input().split())
arr = []
first = []
second = []
for k in range(n):
a = list(map(int,input().split()))[:m]
arr.append(a)
for i in range(n):
for j in range(m):
if arr[i][j] == 1:
x = i+1
y = j+1
for j in range(2):
print(x,y)
... |
import unittest
from header import Header
from message import Message
from set import Set
class TestList(unittest.TestCase):
def test_init(self):
for t in 'bBhHiIqQfds':
Set(t)
Set('m', Message)
Set('m', Header)
self.assertRaises(TypeError, lambda: Set('x'))
... |
# Generated by Django 2.1.1 on 2018-09-20 07:59
import django.contrib.postgres.fields.jsonb
import django.core.serializers.json
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('manager', '0001_initial'),
]
operations = [
migrations.AlterField(
... |
from datetime import date
from selenium.webdriver.support.ui import Select
from .base import FunctionalTest
DAYNUMS = {'mandag': 1, 'tirsdag': 2, 'onsdag': 3, 'torsdag': 4, 'fredag': 5, 'lørdag': 6, 'søndag': 7}
class NewVisitorTest(FunctionalTest):
def assert_elements_in_table(self, elements):
table ... |
# -*- coding: utf-8 -*-
from mod_base import *
def get_mimetype(url):
import httplib
from urlparse import urlparse
urlobj = urplarse(url)
domain = urlobj.netloc
get = urlobj.path + urlobj.query
conn = httplib.HTTPConnection(domain, timeout=5)
conn.request("HEAD", get)
res = conn.getres... |
from .Fraction import Fraction
class _Real:
def __init__(self, value):
if type(value) != int:
if type(value) != float:
if type(value) != Fraction:
try:
value = int(value)
except ValueError:
... |
from __future__ import division
import sys
import csv
import pandas as pd
import numpy as np
import re
import math
"""
this script analyze cabin and print some result in %
"""
"""
iter on dataframe :
for index,row in new_csv.iterrows():
write in csv :
new_csv.to_csv('data/train_extract.csv',mode = 'w', index=False)... |
from __future__ import print_function
import matplotlib.pyplot as plt
import numpy as np
import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
import vggish_params as params
from network import ClassifyNet, Vggish, generato... |
import torch.nn as nn
from pathlib import Path
import torch
import torch.nn.functional as F
import torch.optim as optim
import torch.utils.data as data_utils
def calculate_f1(log_proba: torch.tensor,
target: torch.tensor,
pos: int = 0,
thresh: float = 2./3):
"""... |
def ground_shipping_cost(weight):
if weight <= 2:
return 20.00 + (1.50 * weight)
elif 2 < weight <= 6:
return 20.00 + (3.00 * weight)
elif 6 < weight <= 10:
return 20.00 + (4.00 * weight)
else:
return 20.00 + (4.75 * weight)
print("$%.2f" % ground_shipping_cost(8.4))
p... |
#!/usr/bin/env python3
import argparse
import subprocess
def parse_args():
parser = argparse.ArgumentParser(description='Execute Terraform')
parser.add_argument('-d', '--dry-run', action='store_true')
parser.add_argument('--destroy', action='store_true')
parser.add_argument('--plan', action='store_t... |
import device
from time import sleep
from peak_detect2 import peakdetect
def peak_found(maxtab,mintab):
print maxtab
print mintab
pass
def test_live_peaks():
'''run peak detection on device stream or archive data'''
from device import sensor_stream
gen=sensor_stream()
data=[]
t=[]
x=[]
y=[]
z=[]
lookahea... |
import random
class Board(object):
''' Board for the tic tac toe game '''
def __init__(self):
'''initialize game state'''
self.gameState = ['_', '_', '_',
'_', '_', '_',
'_', '_', '_']
self.symbols = ['x', 'o']
self.userSymbol ... |
from ns_event_codes import event_codes
from constants import headers, ns_login_dict, ns_login_url, ns_tracing_url
from datetime import datetime
class NorfolkSouthern:
def __init__(self, session):
self.session = session
def login(self):
self.session.headers.update(headers)
self.session... |
# Generated by Django 2.2.4 on 2019-08-31 14:45
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('encuestas', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='respuesta',
name='codigo',
... |
import cv2
img = cv2.imread("lena.jpg")
im_scaled = cv2.resize(img, None, fx=0.75, fy=0.75)
im_scaled2 = cv2.resize(img, (640, 480), fx=0.75, fy=0.75,interpolation=cv2.INTER_AREA) # dsize is used to desirable size # Skewed size
im_scaled_interplotation=cv2.resize(img, None, fx=2, fy=2,interpolation=cv2.INTER_CUBIC)
... |
import dash_bootstrap_components as dbc
from dash import html
tab1_content = dbc.Card(
dbc.CardBody(
[
html.P("This is tab 1!", className="card-text"),
dbc.Button("Click here", color="success"),
]
),
className="mt-3",
)
tab2_content = dbc.Card(
dbc.CardBody(
... |
import turtle # Turtleモジュールのインポート
t = turtle.Pen()
for x in range(50):
t.left(90)
t.forward(30 + x * 5)
#
|
#python imports
import sys
import os
import json
import time
import extract_msg
import email
from email import policy
from email.header import decode_header, make_header
from email.parser import BytesParser
from termcolor import colored
#third-party imports
#No third-party imports
#programmer generated imports
from l... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
from os.path import abspath, dirname, join
sys.path.append(abspath(join(dirname(__file__), '..')))
from uuid import uuid4
from mcfly import Connection
def test_connection():
connection = Connection(username='test', password='test')
assert connection.co... |
# Generated by Django 2.2.4 on 2019-12-04 01:46
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('announcements', '0006_auto_20191122_1418'),
]
operations = [
migrations.AddField(
model_name='announcement',
name='s... |
import pandas as pd
# from sklearn import linear_model
# import csv
# from sklearn.preprocessing import Binarizer
# import ast
df = pd.read_csv('txt_to_understand.txt', delimiter="\t") # a is the file name
print(df)
# לחלק את הדאטה למילים לאותיות למספרים, לתת לכל מילה מספר, לעשות חלוקה לפי מ... |
from sys import argv
import sqlite3
def roster():
if len(argv) != 2:
print("Usage: python roster.py House")
exit(1)
else:
connection = sqlite3.connect("students.db")
cursor = connection.cursor()
cursor.execute("SELECT first, middle, last, birth FROM 'students' ... |
from rest_framework.response import Response
from rest_framework import response, status
# Библиотеки для сариализации
from rest_framework import serializers, viewsets
# Модели данных
from .models import OverProfCompetencesInGroupOfGeneralCharacteristic, GroupOfOverProfCompetencesInGeneralCharacteristic, IndicatorInO... |
#!/usr/bin/env python
#-*- coding:utf-8 -*-
from django import template
register = template.Library()
@register.simple_tag
def get_nota_multipla(questaoAvaliacao, opcao):
""""Retorna a nota que uma opcao multipla escolha tem em uma determinada questao de avaliacao
"""
return opcao.get_nota(questaoAvaliacao... |
import csv
with open ('DB1.csv') as csv_file:
csv_reader = csv.reader(csv_file,delimiter=",")
line = 0
list1 = list()
idlst = set()
for row in csv_reader:
if line == 0:
line+=1;
continue
idlst.add(row[1])
list1.append(row)
with open ('DB2.csv') as csv_file:
csv_reader = csv.reader(csv_file,delimiter=... |
import sys
from PySide import QtGui
from aside.facade import AsideFacade
from standalone import main as sa_main, components
from . import controller
class PluginFacade(AsideFacade):
STARTUP = 'startup'
PLUGIN_DIR = "plugins/user"
def __init__(self, multitonKey):
super(PluginFacade, self).__init... |
from yabadaba import databasemanager
from .IprPyDatabase import IprPyDatabase
# Extend the yabadaba LocalDatabase to include IprPyDatabase operations
class LocalDatabase(databasemanager.get_class('local'), IprPyDatabase):
pass |
#Cal n!
n=eval(input('请输入一个不小于0的整数:'))
def jc(n):
if n==0:
return 1
else:
return n*jc(n-1) #用一个新的内存来存储n-1的函数
print(jc(n))
|
from .copy import copy
from .file import file
from .synchronize import synchronize
from .command import command
from .template import template
cmd_map = {"copy": copy, "file": file, "synchronize": synchronize, "command": command, "template": template}
|
n1 = int(input('Digite um valor: '))
n2 = int(input('Digite outro valor: '))
action = 0
while action != (5):
print('[1]Somar '
'\n[2]Multiplicar'
'\n[3]Maior'
'\n[4]Novos números'
'\n[5]Sair do programa')
action = int(input('O que você deseja fazer? '))
if action == 1:
s = n... |
import ipaddress as ip
def get_peer_info(pd, hostvars):
peer = { 'name': pd['peer'] }
our_net = ip.IPv4Interface(pd['ip']).network
pvars = hostvars[peer['name']]
for k,v in pvars['ports'].iteritems():
if not v['ip']:
continue
peer_nobj = ip.IPv4Interface(v['ip'])
if... |
from client import Bot
from load import configs, extensions
import asyncio
bots = []
loop = asyncio.get_event_loop()
for c in configs:
if('extensions' in c):
bot = Bot(loop=loop)
ext = c['extensions']
newext = []
for e in ext:
newext.append(extensions[e](bot, ext[e]))
... |
import argparse
from da_manager import DaData
from data_manager import dataman_factory
from plotter import Plotter
class Runner(object):
def __init__(self, args):
self._daman = DaData()
self._dataman = dataman_factory("june", link_route_shapes=False, link_stops=True)
def run(self):
... |
from django.shortcuts import render, render_to_response
from django.http import HttpResponse
from django.template import RequestContext
from blog.models import Post
from blog.models import Tag
def load(request,id):
t = Tag.objects.get(id=id)
p = t.post_set.all().order_by('-updateDatetime')
return render( r... |
import os, shutil
file_paths = [os.path.join(root,f) for root, _, files in os.walk('wiki/fr/') for f in files]
for path in file_paths:
print path
try:
if not os.path.exists('/run/media/user/LBOX21/LibraryBox/Shared/'+os.path.dirname(path)):
os.makedirs('/run/media/user/LBOX21/LibraryBox/Shared/'+os.path.dirname... |
#!/usr/bin/python3
# This is the Python 3.x client-sided message viewer script for a Chat Server.
from socket import socket, AF_INET, SOCK_STREAM, error
HOST = 'localhost'
PORT = 1337
serverAddress = (HOST, PORT)
Message_Socket = socket(family=AF_INET, type=SOCK_STREAM)
try:
Message_Socket.conne... |
#post data 长度，用于Content-Length
def get_content_length(data):
length = len(data.keys()) * 2 - 1
total = ''.join(list(data.keys()) + list(data.values()))
length += len(total)
int(time_now2())>2 and int(common.time_now2())<12) |
#!/usr/bin/env python
#
# Copyright 2017 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... |
#!/usr/bin/python3
'''
import statistics as s
'''
'''
import statistics
from statistics import *
'''
from statistics import mean as m,median as me,stdev as dev
examplelist = [3,4,5,6,7,8,9,10]
x=m(examplelist)
y=me(examplelist)
z=dev(examplelist)
print(x)
print(y)
print(z)
|
from django.urls import path
from .views import Authorize, gen_auth_code
urlpatterns = [
path('', Authorize.as_view(), name='blog'),
path('auth_code/', gen_auth_code, name='auth_code'),
]
|
# Copyright (c) 2017-2023 Digital Asset (Switzerland) GmbH and/or its affiliates. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
from typing import Optional
def n_things(count: int, plural_noun: str, singular_noun: Optional[str] = None):
if count == 1:
if s... |
from flask_restplus import Namespace, fields |
from sklearn.metrics import confusion_matrix, mean_squared_error
import numpy as np
def calc_pdf_hist(x, x_bins):
return np.histogram(x, x_bins, density=True)[0]
def hellinger(x, pdf_p, pdf_q):
pdf_distances = (np.sqrt(pdf_p) - np.sqrt(pdf_q)) ** 2
return np.trapz(pdf_distances, x) / 2
def root_mean_s... |
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