text stringlengths 38 1.54M |
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import unittest
import os
from unittest.mock import MagicMock
from . import *
class TestProjectEntry(unittest.TestCase):
entry = None
def setUp(self):
entry = ProjectEntry()
entry.head_line = '[[Statik:Intern:0589 interner Support]]'
entry.content.append('\n\n[*] Ubutu auf Altem lap... |
from __future__ import division
from __future__ import print_function
from builtins import str
from builtins import range
from builtins import object
from past.utils import old_div
import sys, time, argparse
import tensorflow as tf
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.met... |
import ROOT
import lib.plotter
import argparse
def ParseOption():
parser = argparse.ArgumentParser(description='submit all')
parser.add_argument('--t1', dest='tag1', type=str, help='for each plot')
parser.add_argument('--t2', dest='tag2', type=str, help='for each plot')
parser.add_argument('--plotfile1... |
# trainer.py
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from base.base_dataset import BaseDataset
from base.base_logger import BaseLogger
from base.base_model import BaseModel
from base.base_trainer import BaseTrainer
from tqdm import tqdm
from typing ... |
from django.contrib import admin
from holiday.models import Holiday
# Register your models here.
admin.site.register(Holiday)
|
#!/var/www/vhosts/munichmakerlab.de/status/env/bin/python
import paho.mqtt.client as paho
from threading import Timer
import logging
import os
import config
PATH=os.path.dirname(os.path.realpath(__file__))
STATUS_FILE= "%s/%s" % (PATH, "current_status")
def on_connect(mosq, obj, rc):
logging.info("Connect with RC "... |
# Generated by Django 2.1 on 2018-08-03 13:31
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('accounts', '0002_auto_20180727_0304'),
]
operations = [
migrations.AlterField(
model_name='userprofi... |
'''
Пользователь вводит трехзначное число.
Программа должна сложить цифры, из которых состоит это число.
'''
input_number = int(input('Введите трехзначное число'))
sum_of_digits = 0
for i in range(3):
last_digit = input_number%10
sum_of_digits += last_digit
input_number //= 10
print(sum_of_digits)
|
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 22 20:30:42 2019
@author: Michael
"""
import numpy as np
import lab3_functions as fun
import basic_functions as bf
import cv2
# Section 2.2 Testing
# Question 1 and 2
# Histogram Equalize
img1 = cv2.imread(r"Images\testing\contrast\7.2.01-small.png", 0)
img2 = cv2.im... |
## Exercício Python 048: Faça um programa que calcule a soma entre todos os números que são múltiplos de três e que se encontram no intervalo de 1 até 500.
s = int(0)
for c in range(1, 501, 2):
if c % 3 ==0:
s = s + c
print(c)
print('A soma dos números ímpares multiplos de 3 é {}'.format(s)) |
# -*- coding: utf-8 -*-
"""
Define SampleTemplates using a Builder pattern
"""
from typing import Optional, Sequence, Union, List
from urllib.parse import urlparse
import numbers
import datetime as dt
from rspace_client.inv.quantity_unit import QuantityUnit
class TemplateBuilder:
"""
Define a SampleTemplate ... |
import requests
url = 'https://www.ipea.gov.br/geobr/metadata/metadata_gpkg.csv'
a = requests.get(url).content
# requests.get(url, verify=False)
#
# content = requests.get(url).content
|
## Python Project - Section A2 Group 1 - MyMovie
## This is KNN_DecisionTree_Regressions. This contains the functions for working through the KKN and Decision tree regressions.
## Made by Shayne Bement, Jeff Curran, Ghazal Erfani, Naphat Korwanich, and Asvin Sripraiwalsupakit
## Imported by myMovie
import pandas as pd... |
import numpy
def spin_words(sentence):
words = sentence.split(" ")
output = ""
for word in words:
aux = word
if len(word) > 4:
aux = ""
while len(word) > 0:
aux = word[0] + aux
word = word[1:]
output += aux + " "
output =... |
#!/usr/bin/env python
import argparse
import copy
import time
import sys
import utils
from cognition.newest_decision_making import DecisionMaker
from location.location import Location
from motion.motion_subsystem import MotionSubsystem
from radio.radio_subsystem import RadioSubsystem
from route.new_path import ... |
import numpy as np
def redraw_scatter(drawn_object, new_x, new_y):
positions = np.vstack((new_x, new_y)).transpose()
drawn_object.set_offsets(positions)
return None
def redraw_line(drawn_line, new_x, new_y):
drawn_line.set_xdata(new_x)
drawn_line.set_ydata(new_y)
return None
|
import socket as mysoc
import sys
def fileLineCount(path):
with open(path) as fileIn:
for index, element in enumerate(fileIn):
pass
val = index + 1
return val
print ('Number of arguments:', len(sys.argv), 'arguments.')
print ('Argument List:', str(sys.argv))
# FIRST Socket | to RS server
try:
rs = mysoc... |
from django.shortcuts import render
from django.http.response import JsonResponse
from rest_framework.parsers import JSONParser
from rest_framework import status
from rest_framework.decorators import api_view
from restapp.models import MyService
from restapp.serializers import MyServiceSerializer
from restapp.models ... |
import os
import argparse
import random
import json
import logging
import pandas as pd
import numpy as np
import torch
from torch.utils.data import Dataset, DataLoader
from collections import defaultdict
from transformers import *
from utils import seed_everything, DialogueDataset, create_mini_batch, read_test_data
... |
#!/usr/bin/env python2
import roslib
roslib.load_manifest('mobot_control')
import rospy
from mobot_control.msg import Keyboard
import sys, select, termios, tty
msg = """
Reading from the keyboard and Publishing to Keyboard.msg !
---------------------------
(1-7) or shift+(1-7) for position control of the manipulator ... |
# 블랙잭
# 쌉 노가다 풀이
def blackJack():
n, m = map(int, input().split())
cards = list(map(int, input().strip().split()))
res = 0
for i in range(len(cards)-2):
for j in range(i+1,len(cards)-1):
for k in range(j+1,len(cards)):
sum = cards[i]+cards[j]+cards[k]
... |
#!/usr/bin/evn python
# coding=utf-8
BROKER_URL = 'redis://127.0.0.1:6379' # 指定 Broker
CELERY_RESULT_BACKEND = 'redis://127.0.0.1:6379/0' # 指定 Backend
CELERY_TASK_SERIALIZER = 'msgpack'
CELERY_RESULT_SERIALZER = 'json'
CELERY_ACCEPT_CONTENT = ['json', 'msgpack']
CELERY_TIMEZONE='Asia/Shanghai'... |
import urllib2, json
from django.db import models
from h1ds_summary.utils import delete_attr_from_summary_table
from h1ds_summary.utils import update_attribute_in_summary_table
from h1ds_summary.tasks import populate_attribute_task
sa_help_text={
'slug':"Name of the attribute as it appears in the URL.",
'name... |
import tensorflow as tf
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
FLAGS = tf.app.flags.FLAGS
tf.app.flags.DEFINE_string("tfrecords_dir","./tfrecords/captcha.tfrecords","验证码tfrecords文件")
tf.app.flags.DEFINE_string("captcha_dir","../data/Genpics/","验证码图片路径")
tf.app.flags.DEFINE_string("letter","ABCDEFGHIJKLMNO... |
from odoo import models, fields, api
from odoo import http
class HelpdeskTicket(models.Model):
_inherit = 'helpdesk.ticket'
description = fields.Html()
attachment_id = fields.One2many('ir.attachment','helpdesk_ticket_ids', string="Attachments")
@api.model
def default_get(self,default_fiel... |
#@author: Bharath HS
from PIL import Image
from io import BytesIO
import os
import datetime
import sys
import time
from PIL import Image, ImageChops
from scipy.misc import imread
from scipy.linalg import norm
from scipy import sum, average
import traceback
import sys
class Image_Processing():
#def __init__(... |
"""
[Homework]
1. Write a Python program to generate and print a dictionary that contains a number (between 1 and n) in the form (x, x*x).
e.g. User inputs 5
Expected Output : {1: 1, 2: 4, 3: 9, 4: 16, 5: 25}
2. Write a program to sort a dictionary by key in both ascending and descending order.
3. Write a program to s... |
#!/usr/bin/python
####
print "========================="
print "testing udp using sockets"
print "========================="
import socket
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
print sock.sendto('[{"name":"udp_test", "columns": ["value"], "points":[[69]]}]', ('127.0.0.1', 5454))
|
#!/usr/bin/python
# -*-coding:utf-8-*-
# Description: get new user_account info from weixin.sogou.com
# Version: 1.0
# History: 2014-07-04 Created by Hou
import os
import time
from threading import Thread
from bs4 import *
from config import *
from connect_with_proxy_ip_and_fake_ua import get_connect_by_proxyip_ua
f... |
# This technical data was produced for the U. S. Government under Contract No. W15P7T-13-C-F600, and
# is subject to the Rights in Technical Data-Noncommercial Items clause at DFARS 252.227-7013 (FEB 2012)
# based largely on https://djangosnippets.org/snippets/261
from django.contrib.gis.db import models
class Topic... |
# Generated by Django 2.2.7 on 2019-11-25 19:45
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('gallery', '0008_auto_20191125_2044'),
]
operations = [
migrations.AlterField(
model_name='uploadss',
name='file',
... |
#!/user/bin/env python3
#----------------------------------------------------------------------#
# Script Name Ops Challenge 13
# Author Kimberley Cabrera-Boggs
# Date of last revision October 21, 2020
# Description of purpose Network Security Tool w/Scapy Part 1, 2 & 3
#----... |
# -*- coding：utf-8 -*-#
# --------------------------------------------------------------
# NAME: for
# Description: for循环
# Author: xuezy
# Date: 2020/6/19 17:17
# --------------------------------------------------------------
"""
for循环实现1~100求和
range(101) 可以产生一个0~100的整数序列
range(1,100)... |
from flask import Flask, request, jsonify
import os
import logging
import time
import json
app = Flask(__name__)
with open('decoder.json') as _file:
decoder = json.load(_file)
with open('encoded.txt') as _file:
encoded_text = _file.read()
@app.route("/")
def index():
app.logger.info(vars(request))
r... |
import errno
import socket
import select
import sys
HEADER_LENGTH = 10
IP = '127.0.0.1'
PORT = 1234
my_username = input('username: ')
client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
client_socket.connect((IP, PORT))
client_socket.setblocking(False)
encoded_username = my_username.encode('utf-8')
e... |
from nltk.tokenize import sent_tokenize, word_tokenize
#nltk.download()
#tokenizers
#word tokenizer - seperating by word
#sentence tokenizer - seperated by sentences
#lexicon and corporas
#corpora - body of text ex: presenditial speech, a paragraph from your book.
#lexicon - word and their mean (dictionary)
#words ... |
import pygame as py
import math
import cmath
import numpy as np
import os
import cv2
# Complex number Plane
class Plane:
# Create a pygame window where different objects can be graph
# Plane initialization
def __init__(self, grid,
center, win_scale):
self.rows = grid[0]
... |
def fasta_reader(bestand):
"""Extract sequences from FASTA file"""
seqs = []
seq = []
with open(bestand) as inFile:
for line in inFile:
if not line.startswith(">"):
seq.append(line.strip())
else:
if seq != []:
... |
from django.contrib.auth.forms import AuthenticationForm, UserCreationForm
from django.contrib.auth.models import User
from django.forms import *
class RegistrationForm(UserCreationForm):
username = CharField(min_length=5, label='Логин')
password1 = CharField(min_length=8, widget=PasswordInput, label='Пароль'... |
# -*- coding: UTF-8 -*-
import requests
import re, json, os
def word2string(url, filename):
print("filename: ", filename.encode('utf-8').decode())
payload = {}
files = [
('file', open(filename.encode('utf-8').decode(), 'rb'))
]
headers = {}
response = requests.request("POST", url, headers=headers, dat... |
# -*- coding: utf-8 -*-
def social_pant(entity, argument):
return True
#- Fine Funzione -
|
from constructors.htmlObj import HTMLObject
from constructors import htmlSnippets
from functions.printFunctions import inputClear
from functions.misc import locationParse
from datetime import datetime
from bs4 import BeautifulSoup
import os
import time
def fileHandling():
PROJECT_NAME = inputClear('W... |
from sklearn.neural_network import MLPClassifier
'''
class MLPClassifier(hidden_layer_sizes=(100,), activation="relu", solver='adam', alpha=0.0001, batch_size='auto', learning_rate="constant", learning_rate_init=0.001,
power_t=0.5, max_iter=200, shuffle=True, random_state=None, tol=1e-4, verbose=False, warm_start... |
som=0
count=-1
while True:
getal=eval(input("noem een getal: "))
som+= getal
count+=1
if getal == 0:
break
print("Er zijn "+str(count)+" getallen ingevoerd, de som is: "+ str(som)) |
# -*- coding:utf-8 -*-
'''
pytorch 0.4.0
data: https://download.pytorch.org/tutorial/faces.zip
tutorials: https://pytorch.org/tutorials/beginner/data_loading_tutorial.html
'''
from __future__ import print_function, division
import os
import torch
import pandas as pd # 用于解析csv文件
from skimage import io, transform # 用... |
from tkinter import *
from V_windows.V_search.V_SearchMain import V_Search
from V_windows.V_readerEntrance.V_ReaderEntrance import V_ReaderEntrance
from V_windows.V_adminEntrance.V_AdminEntrance import V_AdminEntrance
class V_Home():
def __init__(self):
self.size = '450x250'
self.locate = '+10+10'
... |
import numpy as np
lats = np.arange(-90, 91, 1) #268
longs = np.arange(-180, 181, 1) #381 #102108
lats, longs = np.meshgrid(lats, longs)
lats = lats.flatten()
longs = longs.flatten()
types = np.ones(len(lats), dtype=np.int64)
coors = np.concatenate((lats, longs, types))
coors = coors.reshape((3, len(lats)))... |
import schedule
import time
import datetime
import threading
import os
from googlemaps import Client
from time import gmtime, strftime
def partial(func, *args, **kwargs):
def f(*args_rest, **kwargs_rest):
kw = kwargs.copy()
kw.update(kwargs_rest)
return func(*(args + args_rest), **kw)
return f
def format_tim... |
import numpy as np
def store_number(coords, board): #x = which row, y = which column, z = what number
print(coords)
z = coords[0]
x = coords[1]
y = coords[2]
#xy[x][y] = z #stores number (z) in x,y
for i in range(9): #places -1 in locatinos numbers can't be.
board[i][x][y] = -1
board[z-1][i][y] = -1
board[... |
from django.urls import path
from chinook.views import (
AlbumListAPIView,
PlaylistListAPIView,
ReportDataAPIView,
GenreListAPIView,
TrackListAPIView,
CustomerSimplifiedAPIView,
TotalPerCustomerAPIView,
)
urlpatterns = [
path("albums/", AlbumListAPIView.as_view()),
path("genres/", G... |
from datetime import datetime
def current_date():
return datetime.now().strftime("%Y/%m/%d")
def current_time():
return datetime.now().strftime("%H:%M:%S")
|
from pyengine.common.components.component import Component
class ScriptComponent(Component):
def __init__(self, game_object):
super().__init__(game_object)
self.name = "ScriptComponent "
def to_dict(self):
return {
"name": self.name,
}
@classmethod
def fro... |
def divisors(integer):
divs = [ divider for divider in range(1, integer) if integer % divider == 0 and divider != 1 ]
return "{} is prime".format(integer) if len(divs) == 0 else divs
|
from selenium import webdriver
from bs4 import BeautifulSoup
import xlwt
dr=webdriver.Chrome()
for i in range(0,10):
dr.get('https://www.pagalworld.mobi/home/updates?page='+str(i))
g=dr.page_source
soup=BeautifulSoup(g,'html.parser')
#f=soup.find_all('ul')
urls = []
for a in soup.find_all('a', href=True):
... |
######################################################################
# **Medial axis skeletonization**
#
# The medial axis of an object is the set of all points having more than one
# closest point on the object's boundary. It is often called the *topological
# skeleton*, because it is a 1-pixel wide skeleton of the ... |
import logging
import os
from collections import OrderedDict
from functools import partial
import matplotlib.pyplot as plt
import numpy as np
from PyQt5 import QtCore, QtWidgets, QtGui
import io
from matplotlib.colors import LogNorm
from module.Module import ProcModule
from module.OneDScanProc import OneDScanProc
fro... |
from sqlmodel import Session, select
from warehouse import engine
from warehouse.models import Product, Supplier
from warehouse.ultis import update_attr
def get_all():
with Session(engine) as session:
statement = select(Product, Supplier).join(Supplier, isouter=True)
results = session.exec(stateme... |
#!/usr/bin/python3
# openssl req -new -x509 -keyout server.pem -out server.pem -days 365 -nodes
# run as follows:
# python myssl.py
# then in your browser/curl -k, visit:
# https://localhost:5000
#
from http.server import BaseHTTPRequestHandler, HTTPServer
from urllib.parse import urlparse
import ssl
class ... |
lado = input("Digite o valor correspondente ao lado de um quadrado: ")
x = float(lado) * 4
y = float(lado) ** 2
print("perímetro:", int(x), "-", "área:", int(y)) |
import numpy as np
import tensorflow as tf
import cv2
import time
import os
class DetectorAPI:
def __init__(self, path_to_ckpt):
self.path_to_ckpt = path_to_ckpt
self.detection_graph = tf.Graph()
with self.detection_graph.as_default():
od_graph_def = tf.GraphDef()
w... |
#
# Tested on following pretrained models:
# mask_rcnn_inception_v2_coco_2018_01_28
#
#
import cv2
import sys
import argparse
import imutils
from detection_boxes import DetectBoxes
def arg_parse():
""" Parsing Arguments for detection """
parser = argparse.ArgumentParser(description='Pytorch Yolov3')
pars... |
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
import grpc
import common_pb2 as common__pb2
import ether_service_pb2 as ether__service__pb2
class ether_serviceStub(object):
# missing associated documentation comment in .proto file
pass
def __init__(self, channel):
"""Constructor.
... |
#_*_ coding:utf-8 _*_
'''
map
'''
# list01 = [1,2,3,4,5,6,7,8,9]
# list02 = [1,2,3,4,5,6,7,8,9]
# map = map(lambda x,y : x * y,list01,list02)
# print(list(map))
'''
filter
'''
# list01 = [1,2,3,4,5,6,7,8,9]
# filter = filter(lambda x : x > 5,list01)
# print(list(filter))
'''
reduce
'''
from functools import reduce
li... |
"""
AbstractStack is an abstract data type for stack implementation.
CONSTANTS
POP_NIL = 0 # pop() not called yet
POP_OK = 1 # last pop() call completed successfully
POP_ERR = 2 # stack storage is empty
PEEK_NIL = 0 # peek() not called yet
PEEK_OK = 1 # last call peek() returned corre... |
from django.views.generic import TemplateView
from prices.models import PriceTable, SecondPriceTable
from ceilings.models import Ceiling
class PriceView(TemplateView):
template_name = 'prices/price.html'
def get_context_data(self, **kwargs):
context = super(PriceView, self).get_context_data(**kwa... |
import cashtag_analyzer # Import the modules from the __init__ script.
import ccxt # Import ccxt to connect to exchange APIs.
import collections # Import collections to create lists within dictionaries on the fly.
import datetime # Import datetime for the timedelta and utcfromtimestamp functions.
import numpy... |
#!/usr/bin/env python
import json
import visit
"""Visits ns_server metadata and emits flat metadata
on the fast-changing time-series metrics to stdout as JSON."""
first = True
def store_conv_fast(root, parents, data, meta, coll,
key, val, meta_val, meta_inf, level):
global first
if no... |
# -*- coding:utf-8 -*-
__author__ = "leo"
# 输入一个链表的头节点，从尾到头反过来返回每个节点的值（用数组返回）。
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class Solution:
def reverse_print(self, head):
return self.reverse_print(head.next) + [head.val] if head else []
class Solution1:
... |
import unittest
import os
from robot.utils import *
from robot.utils.asserts import *
class TestNormalizing(unittest.TestCase):
def test_normpath(self):
if os.sep == '/':
inputs = [ ('/tmp/', '/tmp'),
('/tmp', '/tmp'),
('/tmp/foo/..', '/tmp'),
... |
# _*_coding: utf-8_*_
# Created by yls on 2020/10/27 21:16
import tools.DoExcel
# class ReplaceRelyOnValue():
# def replace_rely_on_value(self): |
from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
x = np.arange(-1,1,1e-3)
x1=np.arange(-0.999,0.9999,1e-1)
f=np.arctan(x)
f1=[]
for x2 in x1:
y=0
for j in range(1,1000):
y=y+((-1)**(j+1))*(x2**j/(2*j-1))
f1.append(y)
plt.plot(x,f)
plt.plot(x1,f1,'o')
plt.grid()
plt.xlabel('$x$')
p... |
#!/usr/bin/env python3
import logging
import argparse
import os
from pathlib import Path
import re
import time
import traceback
import glob
from unittest import result
import psycopg2
import psycopg2.extras
import psycopg2.pool
from datetime import datetime, timedelta
from filenames import filename_parser
from image_... |
import random
class Game:
def __init__(self, teamA, teamB, extra=True):
self.teamA = teamA
self.teamB = teamB
self.extra = extra
if (teamA != None and teamB != None):
self.teamAHOS, self.teamBHOS = self.getNormalHardness()
def play(self):
if (self.teamA == N... |
biggest = 0
def triangle(z):
global biggest
list = []
for c in range(1,int(z**.5) + 1):
if z % c == 0:
list.append(c)
if c**2 != z:
list.append((z / c))
length = len(list)
if length >= biggest:
biggest = length
print "%r is the triangle with the most divisors (at %r) so far" % (z, length)
a = 2... |
import datetime
from unittest import mock
import pytest
import pytz
from django.core import mail
from django.utils import timezone
from freezegun import freeze_time
from customers.services import SMSNotificationService
from payments.enums import OrderStatus
from payments.models import Order
@freeze_time("2020-10-20... |
from flask import Flask, render_template
import os
import threading , time
import cv2
import numpy as np
cap = cv2.VideoCapture(0)
webcam_flag = False
def webcamCap():
while(True):
global webcam_flag
ret , frame = cap.read()
# RGB -> Grey Conversion (Optional)
gray_frame = cv2.cvt... |
import http.client
import importlib
import os
import re
import urllib.parse
from wsgiref.headers import Headers
from wsgiref.simple_server import make_server
class Request:
def __init__(self, environ):
self.environ = environ
@property
def args(self):
get_args = urllib.parse.parse_qs(self.... |
import cv2 as cv
def input_boolean(prompt):
while True:
print(prompt)
retval = input('> ')
switch = {
'y': True,
'yes': True,
'n': False,
'no': False
}
if retval in switch:
return switch[retval]
def print_predi... |
"""
HSC-specific overrides for FgcmBuildStarsTable
"""
import os.path
from lsst.utils import getPackageDir
# Minimum number of observations per band for a star to be considered for calibration
config.minPerBand = 2
# Match radius to associate stars from src catalogs (arcseconds)
config.matchRadius = 1.0
# Isolation ... |
#!/usr/bin/env python3
# coding=utf-8
"""
githubAutomatic takeover
"""
import json
import base64
import requests
from config import settings
HEADERS = {
"Accept": "application/json, text/javascript, */*; q=0.01",
"Accept-Language": "zh-CN,zh;q=0.9",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 1... |
def handler(doc):
from quart import Blueprint, request
from quart.json import jsonify
swagger_blueprint = Blueprint(
doc.blueprint_name,
__name__,
url_prefix=doc.url_prefix,
static_url_path=doc.static_uri_relative,
static_folder=doc.static_dir,
root_path=doc.... |
#! /usr/bin/env python
##########################################################################
# Hopla - Copyright (C) AGrigis, 2015
# Distributed under the terms of the CeCILL-B license, as published by
# the CEA-CNRS-INRIA. Refer to the LICENSE file or to
# http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.ht... |
#!/usr/bin/env python3
"""Numerical integration in python using the Lotka-Volterra model"""
__appname__ = "LV1.py"
__author__ = "Joseph Palmer <joseph.palmer18@imperial.ac.uk>"
__version__ = "0.0.1"
__license__ = "License for this code/"
__date__ = "Nov-2018"
## imports ##
import sys
import scipy as sc
import scipy.st... |
from typing import Any, Dict, List, Union
from app.interpreter.interpreter import ALL_ASSERTIONS, ALL_RULES, Interpreter
from app.parser import AST
def ast_to_string(ast_dict: Dict[str, List[AST]]) -> Dict[str, List[Union[str, List[Any]]]]:
def to_string(tree: AST) -> List[Union[str, List[Any]]]:
str_ast... |
import numpy as np
import tensorflow as tf
from sklearn.utils import shuffle
from sklearn.model_selection import train_test_split
import scipy.io as scio
import h5py
import time
LOG = open("/home/hyli/Data/InternData/log_full_sgd_lr0002.txt", "w")
rng = np.random.RandomState(1234)
random_state = 42
par = scio.loadma... |
# # Python program to find maximum product of two
# # non-intersecting paths
# # Returns maximum length path in subtree rooted
# # at u after removing edge connecting u and v
# def dfs(g, curMax, u, v):
# # To find lengths of first and second maximum
# # in subtrees. currMax is to store overall
# # maximum... |
#!/usr/bin/env python
# license removed for brevity
import rospy
import time
from sensor_msgs.msg import Image
from cv_bridge import CvBridge, CvBridgeError
#import numpy as np
import cv2
def talker():
global cap
global frequency
global video_resolution
image_size = video_resolution / 2
bridge... |
from src.Public import Public
class GamePlay(object):
def __init__(self, status, message):
self.pb = Public()
self.status = status
self.message = message
def login(self):
self.pb.color("login......", "cyan")
lss = self.pb.find(self.status, self.message)
... |
from functools import lru_cache
class LargePower:
def __init__(self, n):
self.a = int(n[0])
self.b = int(n[1])
@lru_cache
def compute(self):
return pow(self.a, self.b, int(1e9+7))
def get(self):
if self.a == 0:
return str(0)
if self.b == 0:
... |
import shutil
import os
# for line in open(r"G:\list_bbox_celeba2.txt"):
# print(line)
# exit()
import glob
import os
# path = r"G:\list_bbox_celeba2.txt"
# f = r"G:\list_bbox_celeba3.txt"
#
# file = open(path)
# for line in file.readlines():
# print(line)
# strs = line.strip().split(" ")
# print(... |
"""
Copyright 2013 Rackspace
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 agreed to in writing, software
dist... |
def spiralOrder(matrix):
if not matrix:
return []
rowbegin=0
rowend=len(matrix)
columnbegin=0
columnend=len(matrix[0])
res=[]
while rowend>rowbegin and columnend>columnbegin:
for i in range(columnbegin,columnend):
res.append(matrix[rowbegin][i])
for j in ... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('urly_app', '0016_auto_20161130_2154'),
]
operations = [
migrations.AddField(
model_name='link',
name... |
#!/usr/bin/env python3
"""xev output data parser to get mouse polling rate.
Usage:
$ chmod a+x mouserate
$ xev | mouserate
"""
import sys
import re
previous = 0
time_re = re.compile('time (\d+)')
while True:
line = sys.stdin.readline()
match = time_re.search(line)
if match:
time = int(mat... |
array = [7, 5, 9, 0, 3, 1, 6, 2, 9, 1, 4, 8, 0, 5, 2]
def count_sort(array):
sorted_list = []
count = [0] * (max(array)+1)
for i in range(len(array)):
count[array[i]] += 1 # 각데이터에 해당하는 인덱스의 값 증가
for i in range(len(count)):
for j in range(count[i]):
sorted_list.append(i)
... |
# Problem Code: CCISLAND
T=int(input())
while T!=0:
X,Y,x,y,D = map(int,input().split())
if D*x <=X and D*y<=Y:
print("YES")
else:
print("NO")
T-=1 |
# pylint: disable=W0613
# w0613 coresponde a "unused argument"
import random
import pygame
import collision_bullshit as Fuck
import math
import numopers as ops
import sfx as sfx
_bbGrace = 60*1.5
def _moveBounce(ent, gs, momx, momy):
if ent.x + ent.width + momx > gs.scrsq - gs.hbound:
ent.momx = -ent.momx... |
ganhoPorHora = float(input('Digite seu ganho por hora: '))
horasTrabalhadas = int(input('Digite a quantidade de horas trabalhas: '))
salarioBruto = ganhoPorHora * horasTrabalhadas
ir = salarioBruto * 11 / 100
inss = salarioBruto * 8 / 100
sindicato = salarioBruto * 5 / 100
salarioLiquido = salarioBruto - ir - inss -... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('events', '0026_auto_20151108_1530'),
]
operations = [
migrations.AddField(
model_name='speakerlist',
n... |
import torch
import torch.autograd as autograd
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from helperFunctions import *
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
torch.set_default_tensor_type('torch.cuda.FloatTensor')
def to_cate... |
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