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import xml.dom.minidom
DOMTree = xml.dom.minidom.parse("movies.xml") # 打开xml文件
collection = DOMTree.documentElement # 获得文档元素对象
movies = collection.getElementsByTagName("movie") # 获取节点的一组标签，返回的是一个数组
print(movies[0].getAttribute("title"))
type = collection.getElementsByTagName("type")
item = type[0]
print(item.fir... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# File: mnist_center.py
# Author: Qian Ge <geqian1001@gmail.com>
import sys
import numpy as np
import tensorflow as tf
import platform
import scipy.misc
import argparse
sys.path.append('../')
from lib.dataflow.mnist import MNISTData
from lib.model.ram impor... |
import json
import logging
from datetime import datetime
import os
from ipaddress import ip_address
MAX_ELEMENTS_PER_CASE = 1000
CHUNK_SIZE = 30 # Because 100 is the limit, and some do not finish, 30 are for sure free
COST_PER_TRACEROUTE = 20 # Because OneOff = True
def template_measurement():
return {
... |
nmList=[8,60,43,55,25,134,1]
total=0
for i in nmList:
total+=i
print(total) |
import unittest
from katas.kyu_6.regexp_basics_parsing_mana_cost import parse_mana_cost
class ParseManaCostTestCase(unittest.TestCase):
def test_equals(self):
self.assertEqual(parse_mana_cost(''), {})
def test_equals_2(self):
self.assertEqual(parse_mana_cost('0'), {})
def test_equals_3(... |
import logging
import pickle
import numpy as np
import pandas as pd
from copulas import EPSILON, get_qualified_name
from copulas.multivariate import GaussianMultivariate, TreeTypes
from copulas.univariate import GaussianUnivariate
from rdt.transformers.positive_number import PositiveNumberTransformer
# Configure logg... |
#!/usr/bin/env python
#
# Copyright (c) 2011 Intel, Inc.
#
# This program is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the Free
# Software Foundation; version 2 of the License
#
# This program is distributed in the hope that it will be us... |
from math import inf
from collections import deque
def bfs(nodo, grafo):
padri = [-1 for _ in grafo]
padri[nodo] = nodo
distanze = [inf for _ in grafo]
distanze[nodo] = 0
coda = deque([nodo])
while coda:
nodo = coda.pop()
for adiacente in grafo[nodo]:
if padri[adi... |
from numpy import argmax
# Works out multinomial coefficient nC(k1,k2,...,km)
def multiCoeff(n, kList):
kMaxFirstPos = argmax(kList)
kMax = kList[kMaxFirstPos]
coefficient = 1
i = kMax + 1
# Perform repeated multiplication and division
# for part of kList up to the maximum
for k in kList[:kMaxFirstPos]:
for ... |
from django.db import models
from django.contrib.auth.models import AbstractBaseUser, PermissionsMixin, UserManager, Group
from django.contrib.auth.models import PermissionsMixin
from django.utils.translation import ugettext_lazy as _
from movies_app.model.roles import Roles
class CustomUserManager(UserManager):
d... |
import cv2
import imutils
import time
model_path = "face-detection-adas-0001.xml"
pbtxt_path = "face-detection-adas-0001.bin"
net = cv2.dnn.readNet(model_path, pbtxt_path)
net.setPreferableTarget(cv2.dnn.DNN_TARGET_MYRIAD)
camera = cv2.VideoCapture(0)
frameID = 0
grabbed = True
start_time = time.time()
while grabbe... |
from django.shortcuts import render
from .lookup import perform_lookup
from django.http import JsonResponse
def search_view(request):
q_params = request.GET
q = q_params.get('q')
context = {}
if q is not None:
results = perform_lookup(q, internal_sort=True)
context['results'] = result... |
fildir='D:\SQ\log.txt'#查询某结尾，的数值总和
filer_R=open(fildir,'r')
lines=filer_R.read().splitlines()#读取所有信息并去除所以换行符
del lines[0],lines[-1]#去除头和尾
res=[]#保存类型，个数
for line in lines:
r_s=line.split('\t')
file_Type=r_s[0].split('.')[-1].strip()#获取下标0的元素，在通过.截取，获取最后一个元素，去除空格
file_Size=int(r_s[1].strip())#获取第二个元素去除空格，最后要... |
#[1] import the modules and data
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib
import matplotlib.pyplot as plt
from scipy.stats import skew
from scipy.stats.stats import pearsonr
'''
%config InlineBackend.figure_format = 'retina' #set 'png' here when working on notebook
%matplotlib inli... |
from demo.app import app
|
from flask import Flask, render_template, request, redirect, session, flash
import re
from mysqlconnection import connectToMySQL
from flask_bcrypt import Bcrypt
app = Flask(__name__)
bcrypt = Bcrypt(app)
app.secret_key = '5153fe473438c82c17e638dd778b6b5e'
email_regex = re.compile(r'^[a-zA-Z0-9.+_-]+@[a-zA-Z0-9._-]+\.[a... |
"""Test the analog.renderers module."""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import os
try:
from unittest import mock
except ImportError:
import mock
import pytest
from analog import renderers
from analog import Report
from analog.excepti... |
url = 'https://github.com/PDKT-Team/ctf/blob/master/fbctf2019/hr-admin-module/README.md'
print 'hr_admin_module'
|
# Loihi modules
import nxsdk.api.n2a as nx
# Official modules
import numpy as np
import logging
from copy import deepcopy
import os
# Pelenet modules
from ..system import System
from ..system.datalog import Datalog
from ..parameters import Parameters
from ..utils import Utils
from ..plots import Plot
from .readout im... |
from __future__ import unicode_literals
from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
from copy import deepcopy, copy
from pickle import HIGHEST_PROTOCOL
import six
import collections
import time
import hashlib
import os
import inspect
from functools impo... |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib import rcParams
rcParams["font.size"] = 15
dat = pd.read_json("4d_plot_data.json")
xs = dat["n_features"]
ys = dat["n_est"]
zs = dat["mae"]
cs = dat["max_depth"]
xs2 = xs.unique()
ys2 = ys.unique()
xticks = [0.05] + list(np.lin... |
from .books.list import book_list
from .librarians.list import list_librarians
from .libraries.list import list_library
from .home import home
from .auth.logout import logout_user
from .books.form import book_form
from .libraries.form import library_form, library_edit_form
from .books.details import book_details
from .... |
from Observation import Observation
class SyntheticObservation(Observation):
def __init__(self):
Observation.__init__(self)
self.schema = None
self.schema_var = None
self.successful_var = None
self.successful = False
def equals(self, o2):
if (type(self) != type(o2)):
return False;
so2 = Syntheti... |
import pickle
import numpy as np
import tensorflow as tf
import tensorflow.keras as kr
import Configuration as cfg
def load_char_to_index(char_to_index_path):
with open(char_to_index_path, 'rb') as char_to_index_file:
return pickle.load(char_to_index_file)
def save_char_to_index(char_to_index, c... |
from __future__ import print_function, division
import numpy as np
from timeit import default_timer as timer
from numbapro import cuda
from thread import start_new_thread
@cuda.jit('uint64(uint64, uint64, uint64)', inline=True, device=True)
def modexp(base, exponent, p):
"""
iterative modular expoentiation
... |
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
#这里设函数为y=3x+2
x_data = [1.0,2.0,3.0]
y_data = [5.0,8.0,11.0]
def forward(x):
return x * w + b
def loss(x,y):
y_pred = forward(x)
return (y_pred-y)*(y_pred-y)
mse_list = []
W=np.arange(0.0,4.1,0.1)
B=np.arange(0.0,... |
from collections.abc import Iterable
def _flatten(l,ret):
for i in l:
if isinstance(i, Iterable) and type(i) is not str:
_flatten(i,ret)
else:
ret.append(i)
return ret
def flatten(l):
ret = []
return list(_flatten(l,ret))
if __name__ == "__main... |
#-*- coding: utf-8-*-
from __future__ import unicode_literals
from django.db import models
# Create your models here.
#1、图片表
class Image(models.Model):
imageId = models.AutoField(primary_key=True)
url = models.CharField(max_length=100)
img = models.FileField(upload_to="picture")
#2、栏目表
class Column(mode... |
class Demo4:
#static variable
name = "Sathya"
@classmethod
def sample(cls):
#Calling static variable using class name
print(Demo4.name)
#static variable is available for class
print(cls.name)
@classmethod
def sample2(cls):
Demo4.name = "Sathya Tech"
... |
import os
try:
from __revision__ import __revision__
except:
__revision__ = 'develop'
metadata = {
'name': "djopenid",
'version': "1.0",
'release': __revision__,
'url': 'http://www.jollydream.com',
'author': 'hanbox',
'author_email': 'han.mdarien@gmail.com',
'admin': 'han.mdarien@g... |
# Generated by Django 2.2.1 on 2019-09-22 14:24
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('myapp', '0005_auto_20190914_2336'),
]
operations = [
migrations.CreateModel(
name='Education',
fields=[
... |
from flask_script import Manager
from movie import app, db, Director, Movie
manager = Manager(app)
# reset the database and create some initial data
@manager.command
def deploy():
db.drop_all()
db.create_all()
StevenSpielberg = Director(name='Steven Spielberg', about='Steven Spielberg is an American film... |
# lec4[Multiple feature Linear Regression]
import tensorflow as tf
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
## function ##
def standard(x):
global memoryList
memoryList.append((np.mean(x), np.std(x)))
return (x - np.mean(x)) / np.std(x)
def rollback(x, num):
mean, std = m... |
import torch
import torch.backends.cudnn as cudnn
import torch.nn as nn
import torch.optim as optim
import argparse
import os
import numpy as np
from tensorboardX import SummaryWriter
from Resnet18 import Resnet_18
from Dataloader import Load_Cifar10
from Visualization import Filter_visualization, Featuremap_visualizat... |
import gspread
from oauth2client.service_account import ServiceAccountCredentials
import re
class FormReader:
def fetch_sheet(self, url):
all_list = self.get_data(url)
student_links = {}
all_list = all_list[1:]
for i in range(len(all_list)):
if ',' in all_list[i][0]:
... |
loop = 5
while(loop <= 10):
print(loop)
loop += 1
print('Loop Ends')
print(loop)
|
"""
Unit tests for the
"""
from __future__ import absolute_import, division, unicode_literals
import json
import treq
from twisted.trial.unittest import SynchronousTestCase
from mimic.canned_responses.loadbalancer import load_balancer_example
from mimic.model.clb_errors import (
considered_immutable_error,
i... |
# 두 자연수 A와 B가 있을 때, A%B는 A를 B로 나눈 나머지이다.
# 수 10개를 입력받은 뒤, 이를 42로 나눈 나머지를 구한다.
# 그 다음 서로 다른 값이 몇 개 있는지 출력하는 프로그램을 작성하시오.
arr = []
new_arr = []
for i in range(10):
number = int(input())
arr.append(number%42)
for i in arr:
if i not in new_arr:
new_arr.append(i)
print(len(new_arr))
|
import tkinter as tk
import AI
TITLE_FONT = ("Helvetica", 24, "bold")
class tictactoe_game(tk.Tk):
def __init__(self, *args, **kwargs):
tk.Tk.__init__(self, *args, **kwargs)
path = "bg.jpg"
container = tk.Frame(self)
container.pack(side="top", fill="both", expand=True)
con... |
"""
@author: David
inspired by Telmo Menezes's work : telmomenezes.com
"""
import sys
import matplotlib
matplotlib.use('Agg')
import numpy as np
from multiprocessing import Pool
import network_evaluation as ne
import genetic_algorithm as ga
import warnings
import os
import random
np.seterr('ignore')
warnings.filterw... |
# Generated from ./Java8.g4 by ANTLR 4.7.1
# encoding: utf-8
from __future__ import print_function
from antlr4 import *
from io import StringIO
import sys
def serializedATN():
with StringIO() as buf:
buf.write(u"\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\2")
buf.write(u"m\u044c\b\1\4\2\t\2... |
#!/usr/bin/env python
#-*- coding:utf-8 -*-
#百个眼镜，摆成一个圈，全部正面向上，第一个人将每个翻动一次，一共翻了100次；第二个人从no.2开始隔一个翻一次，也翻100次；第3个人从no.3开始隔两个翻一次，翻100次，问100个人之后，多少眼镜正面向上
import numpy as np
l=[]
n=100
a=np.zeros(n)
for i in range(1,n+1):
for j in range(i,(n+1)*i,i):
while(j>n):
if(j<=n):
if(a[j-1]==0):
a[j-1]=1
... |
import threading
import sys
import hashlib
import sqlite3
import hmac
import rsa
class Customer(threading.Thread):
def __init__(self):
threading.Thread.__init__(self)
self.connection = sqlite3.connect("Customer_Teller_loginInfo.db")
self.pubkey, self.privkey = rsa.newkeys(512)
self.c... |
def meow():
print("Meow!")
print("I am imported") # 이 print 함수는 전역 범위 |
import numpy as np
import distance
class MultiD(object):
"""
不用这个了
直接用numpy的二维矩阵
"""
def __init__(self):
self.nameList = {}
# self.valueList = []
def __getitem__(self, key):
if not self.nameList.__contains__(key):
print("MultiD don't have t... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jul 5 10:43:31 2018
@author: thomas
"""
import numpy as np
import matplotlib.pyplot as plt
def main():
#Color Palette for plotting
#Colors are in the following order: Red/Pink, Orange, Green, Blue, Purple
R1=[255/255,255/255,153/255,153/2... |
#
# This file is part of LUNA.
#
# Copyright (c) 2020 Great Scott Gadgets <info@greatscottgadgets.com>
# SPDX-License-Identifier: BSD-3-Clause
""" Request components shared between USB2 and USB3. """
from amaranth import *
from amaranth.hdl.rec import DIR_FANOUT
class SetupPacket(Record):
""" Record captur... |
n1 = int(input('Digite o primeiro termo da PA: '))
r = int(input('Digite a razão da PA: '))
n = n1
aux = 1
while(aux != 11):
n = n1 + r*(aux-1)
print(n, end=' -> ')
aux += 1
print('fim')
|
import numpy as np
import logging
from pprint import pformat
from keras.models import Model
from keras.layers import *
from pelesent.models import NeuralNetwork
logger = logging.getLogger(__name__)
class CNN(NeuralNetwork):
def build(self, nb_filter=100, filter_length=3, stride=1, pool_length=3, cnn_activation='r... |
from flask import Flask
from flask import request
import proto.Register_pb2 as Register
import proto.Personal_pb2 as Personal
import proto.Friend_pb2 as Friend
import proto.Basic_pb2 as Basic
import proto.Message_pb2 as Message
from src.db import Mongo
mongo = Mongo()
app = Flask("AI ins")
# 注册登录相关部分页面与处理函数
@app.rout... |
# -*- coding: utf-8 -*-
class Solution:
DIRECTIONS = [(-1, 0), (0, 1), (1, 0), (0, -1)]
def surfaceArea(self, grid):
result = 0
for i in range(len(grid)):
for j in range(len(grid[0])):
result += self.singleSurfaceArea(grid, i, j)
return result
def s... |
try:
from cartotools.crs import * # noqa: F401 F403
from cartotools.osm import location
except ImportError:
# cartotools provides a few more basic projections
from cartopy.crs import * # noqa: F401 F403
# Basic version of the complete cached requests included in cartotools
from .location impor... |
# Open test_list.p with dictionary of dictionaries (d)
import pickle
filename = "test_lists.p"
in_file = open(filename, "rb")
d_from_file = pickle.load(in_file)
in_file.close()
# Designate domains and score types again
domains = {
1: "Language",
2: "Spatial",
3: "Motor",
4: "Attention",
5: "... |
#!/usr/bin/env python
import os
import sys
import shutil
import datetime
import pyperclip
import subprocess
clipboard_copy = pyperclip.clipboards.init_osx_clipboard()[0]
STATIC_DIR = os.path.join(os.path.dirname(__file__), "static")
if len(sys.argv) == 1:
print "Usage: %s file.jpg [file.jpg ...]" % sys.argv[0]
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import time
from wgraph.graph import (
load,
search,
Word,
verbose,
Graph,
draw_graph,
add_node,
create_graph,
apply_styles,
)
def distance(graph: Graph, word1: Word, word2: Word) -> int:
graph_path = search(
gr... |
import pytest
from django.urls import reverse
@pytest.mark.django_db
@pytest.mark.parametrize("view", ["inventory:inventory_list"])
def test_view_inventory_list(client, view):
url = reverse(view)
response = client.get(url)
# content = response.content.decode(encoding=response.charset)
assert response... |
HEX_COLOURS = {"blueviolet": "#8a2be2", "brown": "#a52a2a", "coral": "#ff7f50"}
colour_name = input("Enter a colour name: ")
while colour_name != "":
print("The code for {} is {}".format(colour_name, HEX_COLOURS.get(colour_name)))
colour_name = input("Enter a colour name: ")
|
import RPi.GPIO as GPIO
import time
sensor = 12
value = 0
GPIO.setmode(GPIO.BOARD)
GPIO.setup(sensor, GPIO.IN)
while True:
print GPIO.input(sensor)
|
from django.http import HttpResponseRedirect
from django.core.urlresolvers import reverse
def still_alive(function):
def wrap(request, *args, **kwargs):
if not request.user.is_authenticated():
#TODO add the 'next': request.GET.get('next', '')}
return HttpResponseRedirect(reverse('i... |
from __future__ import print_function
# import mavutil
from pymavlink import mavutil
from dronekit import connect, VehicleMode
import time
# create the connection
# From topside computer
connection_string = '/dev/ttyACM0'
master = mavutil.mavlink_connection(connection_string)
master.wait_heartbeat()
master.mav.param... |
from flask import request, jsonify
from ..models import DeviceModel, FlowModel
from pa import database as db
from sqlalchemy import asc, desc
import pa
from .summary import get_range_summary
from datetime import datetime, timedelta
def get_device():
try:
devices = db.session.query(FlowModel.mac.label('mac... |
from django.db import models
from django.contrib.auth import get_user_model
class HealthEntry(models.Model):
user = models.ForeignKey(
get_user_model(), on_delete=models.CASCADE, null=True, blank=True
)
age = models.IntegerField(default=0)
gender = models.CharField(
choices=(("M", "Mal... |
#!/usr/bin/env python
import os
import sys
import dotenv
BASE_DIR = os.path.join(os.path.dirname(__file__), os.pardir)
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "settings")
os.environ.setdefault("ENV", "default")
def run_gunicorn_server(addr, port):
"""run application use gunicorn http server
"""
... |
# Copyright 2014 Google Inc. All Rights Reserved.
#
# 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 or a... |
"""ChunkedImageLoader class.
This is for pre-Octree Image class only.
"""
import logging
from typing import Optional
from napari.layers.image._image_loader import ImageLoader
from napari.layers.image.experimental._chunked_slice_data import (
ChunkedSliceData,
)
from napari.layers.image.experimental._image_locatio... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
variable = 7
if variable > 10:
print "La variable es mayor que diez"
elif variable < 7:
print "La variable es menor que siete"
else:
print "La variable es siete"
print "Esto se muestra siempre"
|
from bsm.util import ensure_list
def _build_steps(cfg):
cfg['build'] = ensure_list(cfg['build'])
try:
make_index = cfg['build'].index('make')
except ValueError:
return
build_step_number = len(cfg['build'])
if make_index > 0 and 'configure' not in cfg['install']:
cfg['insta... |
# if n is a positive integer, n! = n(n-1)(n-2)...(3)(2)(1). The product of all positive integers less than or equal to n
# 0! = 1
def factorial(n):
if n < 0:
return('{} is not a positive integer '.format(n))
elif n >= 1:
return(n * factorial(n-1))
else:
return(1)
print(fac... |
# -*- coding: utf-8 -*-
"""
Main script to train and export GPR Forward models for the Ogden Material
"""
import numpy as np
from random import seed
from sklearn.preprocessing import StandardScaler
import matplotlib.pyplot as plt
from time import time
from sklearn.gaussian_process import GaussianProcessRegressor
from... |
from PyQt5.QtSql import QSqlDatabase, QSqlQueryModel, QSqlQuery
from PyQt5.QWidgets import QTableView, QApplication
import sys
|
# as_util_html.py written by Duncan Murray 7/8/2013 (C) Acute Software
# utility functions for HTML work, mainly from udacity course
import csv
try:
import urllib.request as request
except:
import urllib2 as request
import getpass
import socket
def main():
TEST()
def TEST():
print(" \n --- Testing Net func... |
#!/usr/bin/python
"""
Starter code for the evaluation mini-project.
Start by copying your trained/tested POI identifier from
that which you built in the validation mini-project.
This is the second step toward building your POI identifier!
Start by loading/formatting the data...
"""
import pickl... |
# Generated by Django 2.1.7 on 2019-02-26 13:26
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('core', '0005_passenger'),
]
operations = [
migrations.RenameField(
model_name='passenger',
old_name='ticket_class',
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 16-12-4 下午8:52
# @Author : sadscv
# @File : chunkFreatures.py
def npchunk_features(sentence, i, history):
"""
特征抽取器
:param sentence:(word,tag)
:param i: int, 当前sentence第i个词
:param history: i前所有的tag(chunk)
:return:{"pos":pos}
"... |
import numpy as np
import csv
import matplotlib.pyplot as plt
path1='./training_log_cnn_pretrain.csv'
with open(path1,'r') as f:
reader1 = csv.reader(f)
datas1 = [[row[0],row[1],row[2],row[3],row[4]] for row in reader1]
datas1=np.array(datas1[1:31],dtype=np.float32)
path2='./training_log_cnn_custom.csv'
wit... |
class RaCRohaCentral:
president = "Rtr. Akash Rumade"
secretary = "Rtr. Satyen Deshpande"
treasurer = "Rtr. Yash Shinde"
class Avenue(RaCRohaCentral):
def display(self):
print(f"Roha Central has 4 avenue - PDD, CSD, CMD, ISD, president is {self.president}")
president = "Rtr. Yash Shi... |
#importation du module socket afin de permetttre une communication réseau
#importation d'argparse afin de pouvoir créer des argument
#importation de threading, afin d'allouer des processus à différentes action
#importation de time afin de créer des pauses lors de certaines action
import socket as modSocket
import... |
import gzip
with gzip.open('somefile.gz', 'rt') as f:
text = f.read()
with gzip.open('somefile.gz', 'wt') as f:
f.write('text')
import bz2
with bz2.open('somefile.bz2', 'rt') as f:
text = f.read()
with bz2.open('somefile.bz2', 'wt') as f:
f.write('text')
with gzip.open('somefile.gz', 'wt', compres... |
import os
import re
import sys
import getopt
class Greper:
"""
A greper for any platform.
"""
params_dict = {}
path_list = []
search_pattern = ''
search_pattern_cmp = None
def __init__(self):
"""
"""
pass
def grep(self):
"""
- 'param... |
#!/usr/bin/python3
"""interface implemented by all heap variants"""
class PairingHeapInterface:
def __init__(self):
self.count = 0
def make_heap(self):
pass
def find_min(self):
pass
def insert(self, node):
pass
def delete_min(self):
pass
def merge(self, heap2):
pass
def delete(self, node):
... |
import tensorrt as trt
import pycuda.driver as cuda
import numpy as np
import torch
import pycuda.autoinit
import dataset
import model
import time
# print(dir(trt))
tensorrt_file_name = 'bert.plan'
TRT_LOGGER = trt.Logger(trt.Logger.WARNING)
trt_runtime = trt.Runtime(TRT_LOGGER)
with open(tensorrt_file_name, 'rb') ... |
n=[]
k=[]
k=int(input())
for i in range(0,k):
k=k[0]+k[1]
|
class node():
"""docstring for node."""
def __init__(self,data = None, parent = None):
self.data = data
self.parent = parent
self.child1 = None
self.child2 = None
class heap():
def __init__(self):
self.head = node()
self.inser = self.head
def add(self, d... |
import sys
sys.path.append('..')
import cards
import asyncio
from nose.tools import assert_raises
import random
def test_build_deck():
deck = cards.build_deck("Durak", 1)
assert(len(deck) == 36)
def test_create_durak_game():
game = cards.create_durak_game(user_id=33, user_name='tobixen', channel_id=34)
... |
from __future__ import annotations
from Engine.Elements.board import Board
from Engine.Elements.center import Center
from Engine.Elements.discard import Discard
from Engine.Elements.factory import Factory
from typing import List, Union
class Player:
has_starting_marker = False
def __init__(self, player_id: i... |
from methods import Methods
class experiment:
def __init__(self):
self.method = Methods()
def testNB(self):
badWords = ['fuck','damn','work','cunt','bitch','whore','asshole']
lines = self.openFile("testing.txt")
results_NB = []
results_NB_noC = []
results_NB_... |
# -*- encoding: utf-8 -*-
import yaml
import os.path
from .database import *
from .exceptions import *
class Template(object):
"""Classe Template
- Utilizada para obter e gerenciar a base dos templates.
Atributos:
- template_list (private:list): Lista de templates
- templates ... |
'''
@Description:
@Date: 2020-04-13 20:50:06
@Author: Wong Symbol
@LastEditors: Wong Symbol
@LastEditTime: 2020-05-30 17:17:50
'''
'''
双端队列
在队列的两端都可以进行出队和入队
'''
class Node:
def __init__(self, data=None):
self.data = data
self._next = None
# 双端队列
class Deque:
def __init__(self, _head=None, _tail=None):
self.... |
import logging
import auth
import json
import socket
import jwt
import argparse
import encrypt
import json
import pre
import chain
from gmssl import sm2
success_res = json.dumps({
'status': '200',
'msg': ''
})
error_res = lambda msg: json.dumps({
'status': '401',
'msg': msg
})
parser = argparse.Argum... |
# -*- coding: utf-8 -*-
"""
ytelapi
This file was automatically generated by APIMATIC v2.0 ( https://apimatic.io ).
"""
class Body77(object):
"""Implementation of the 'body_77' model.
TODO: type model description here.
Attributes:
mfrom (string): A valid Ytel Voice ena... |
#!/usr/bin/env python
'''
This file is used when you want to control a single robot
i.e., the first rover that computer connects to
'''
import roslib; roslib.load_manifest('br_swarm_rover')
import socket
import array
class RovCon():
def __init__(self, networkCard):
self.nic = networkCard
self._r... |
import datetime
def compare_time(time1, time2):
d1 = datetime.datetime.strptime(time1, '%Y-%m-%d %H:%M:%S')
d2 = datetime.datetime.strptime(time2, '%Y-%m-%d %H:%M:%S')
delta = d1 - d2
print("days is %s"%delta.days)
if delta.days >= 30:
return True
else:
return False
time1 = dat... |
import random, json, os
# We are assuming the following moves:
# Moves that change your orientation
# Up
# Down
# Left
# Right
# A move that changes your position
# Step
# The move that allows you to exit the board
# Exit
# Other actions that change the world aside from your position
# PickUp
# Shoot
# The functi... |
# -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
Created based on the following tutorial: http://ataspinar.com/2017/08/15/building-convolutional-neural-networks-with-tensorflow/
"""
#%% IMPORT NECESSARY PACKAGES
# To load the MNIST dataset you will need to install 'python-mnist'... |
# -*- coding: utf-8 -*-
"""
Created on Thu May 6 13:07:33 2021
@author: Vidhi
"""
import random
from string import ascii_uppercase
from tkinter import messagebox
from tkinter import*
root = Tk()
root.title("Hangman")
root.iconbitmap("icon.ico")
root.geometry("670x580+300+70")
root.resizable(0,0)
root... |
def getPawnMoves(pos, board, colour, moveNo):
possibleMoves = []
standard = [-1,0]
ifOccupied = [[-1,-1], [-1,1]]
ifFirst = [-2,0]
if colour == "black":
standard[0] *= -1
ifOccupied[0][0] *= -1
ifOccupied[1][0] *= -1
ifFirst[0] *= -1
if pos[0] + standard[0] <= 7... |
matrix = [[1, 5, 9], [-2, 0, 13], [7, 1, 5]]
# for i in range(3):
# if i == 0:
# sm_1 = min(m[i])
# elif i == 1:
# sm_2 = min(m[i])
# else:
# sm_3 = min(m[i])
# print(min(sm_1, sm_2, sm_3))
# ##########################
"""
temp_list =[]
m = None
n = None
for row in matrix:
t... |
# The following program extracts callback domain names from malware files and then builds a bipartite network of malware samples.
# it performs one projection of the network to show which malware samples share common callback servers
# it performs another projection to show which callback servers are called by common m... |
# Generated by Django 3.2.3 on 2021-06-02 13:57
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
("images", "0008_auto_20210602_1557"),
]
operations = [
migrations.CreateMode... |
import module2
owner = 'module1'
module2.show_owner(owner)
|
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