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"""
PRACTICE Test 2, practice_problem 4.
Authors: David Mutchler, Valerie Galluzzi, Mark Hays, Amanda Stouder,
their colleagues and Muqing Zheng. October 2015.
""" # TODO: 1. PUT YOUR NAME IN THE ABOVE LINE.
import simple_testing as st
import math
def main():
""" Calls the TEST functions in this ... |
#!/usr/bin/env /proj/sot/ska/bin/python
#############################################################################################
# #
# ccd_comb_plot.py: read data and create SIB plots ... |
import io
import os.path
import string
import sys
from textwrap import dedent
from hypothesis import given, example, note, assume
from hypothesis.strategies import text
from py2_compat import unittest, mock
from django_develop import utils
TEST_ROOT = os.path.dirname(__file__)
class TestVirtualEnvDetection(unitt... |
from matplotlib import pyplot as plt
from skimage import data
from skimage.feature import blob_dog, blob_log, blob_doh
from math import sqrt
from skimage.color import rgb2gray
'''
Laplacian of Gaussian (LoG)：
这是速度最慢，可是最准确的一种算法。简单来说，就是对一幅图先进行一系列不同尺度的高斯滤波，然后对滤波后的图像做Laplacian运算。将全部的图像进行叠加。局部最大值就是所要检測的blob，这个算法对于大... |
STATIC_VERSION = "cad1f4d9"
|
import errno
import numpy as np
import pandas as pd
import json
import os
import time
from itertools import product
from openpyxl import load_workbook
def create_sections(number_of_sections: int, bound: tuple):
"""
Generate lat lon coordinates for the boundaries of sections
:param number_of_sections: inte... |
# -*- coding: utf-8 -*-
"""
Created on Thu Jun 6 11:17:51 2019
@author: Administrator
"""
import numpy as np
from scipy import signal
import matplotlib.pyplot as plt
sig_freq = 470
noise_freq = 360
target_freq = 470
sample_freq= 4000
N = 4000
k = (N*target_freq)/sample_freq
def windows(name='Hanning', N=20): # R... |
# -*- coding: utf-8 -*-
from ctypes import *
class ADSB_Data_Struct(Structure):
_pack_ = 1
_fields_ = [("ICAO", c_char*16),
("Flight_ID", c_char*16),
("Flight_24bit_addr",c_int32),
("Aircraft_Category", c_uint8),
("Altitude", c_int16),
... |
"""Support for bunq account balance."""
|
from helper import helper
import random as rm
''' Strict Donkey Hillclimber algorithm '''
def simulatedAnnealing(mel, mir, failValue, scoreFunction):
'''
A probabilistic algorithm for approximating the global optimum of a given
function, the global optimum being the final mutation (swap) that changes
t... |
import random
print(random.randint(5, 20)) # line 1
print(random.randrange(3, 10, 2)) # line 2
print(random.uniform(2.5, 5.5)) # line 3
# line one 5 was the smallest i got and 20 was the largest
# line two 3 was the smallest and 9 was the largest
# line three was 3.6711 and largest was 4.952
print()
print(random.r... |
valor = int(input('Digite o valor a ser sacado: '))
cinquenta = vinte = dez = um = 0
ced = 50
'''código do professor:
total = 0
while True:
if valor >= ced:
valor -= ced
total += 1
else:
if total > 0:
print(f'Total de {total} cédulas de {ced}')
if ced == 50:
... |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('administration', '0004_auto_20191019_0158'),
]
operations = [
migrations.AlterField(
model_name='clients',
name='id_country',
... |
import pandas as pd
friend_list = [
["John", 25, "student"],
["Nate", 30, "teacher"],
["Jenny", 30, None]
]
column_name = ["name", "age", "job"]
df = pd.DataFrame(friend_list,columns=column_name)
#조건에 맞는 행 보여주기
print(df[1:3]) #슬라이싱 가능
print()
print(df.loc[[0,2]]) #0행과 2행 보여줌
print()
print(... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import datetime
class Migration(migrations.Migration):
dependencies = [
('FBData', '0004_auto_20150614_1552'),
]
operations = [
migrations.AlterField(
model_name='fbdata'... |
#!/proj/sot/ska3/flight/bin/python
#####################################################################################
# #
# update_sim_flex.py: update sim_flex difference data sets #
# ... |
#!/usr/bin/env python
# Copyright 2009-2014 Eucalyptus Systems, 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 ... |
import os
import json
def extract_route(req):
return req.split()[1][1:]
def read_file(path):
nome1,nome2 = os.path.splitext(path)
lista_arq = [".txt", ".html", ".css",".js"]
if nome2 in lista_arq:
f = open(path, "rt")
return f.read().encode(encoding="utf-8")
else:
f = op... |
from neo4j.v1 import GraphDatabase
uri = "bolt://localhost:7687"
driver = GraphDatabase.driver(uri, auth=("neo4j", "Password"))
def get_skills_by_attribute(attr):
with driver.session() as session:
with session.begin_transaction() as tx:
Skills = tx.run("Match (:Attribute{Name:$name})-[:UNLOCK... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
ПОРЯДОК ИСПОЛЬЗОВАНИЯ: apache_log_parser_split.py some_log_file
Анализирует содержимое лог-файла и генерирует отчет, содержащий
перечень удаленных хостов, кол-во переданных байт и код состояния
"""
import sys
def dictify_logline(line):
"""
Parse logline and ... |
import subprocess
import torch
subprocess.call(
"pip install git+https://github.com/facebookresearch/fvcore.git", shell=True
)
net = torch.hub.load("zhanghang1989/ResNeSt", "resnest50", pretrained=True)
|
import boto3
region = 'us-east-1'
# db_instance = 'db-instance-identifier'
rds = boto3.client('rds', region_name=region)
dbs = rds.describe_db_instances()
for output in dbs['DBInstances']:
print('Master Username: ' + output['MasterUsername'] +
'\nBackup Window: ' + output['PreferredBackupWindow'])
# print ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from player import *
from smart_contract import *
from blockchain import *
accounts = []
new_game_flag=1
while new_game_flag:
print()
blockchain = BlockChain()
players = []
"""
三人游戏，创建游戏账户
"""
while len(players) < 3:
str_1 = input('You want to c... |
# -*- coding: utf-8 -*-
import requests
class neteasemusic():
def __init__(self, cookie):
self.s = requests.Session()
self.url = 'http://music.163.com/api/point/dailyTask?type=1&csrf_token=123'
self.header = {
'Pragma':'no-cache',
'DNT':'1',
'Accept-Enco... |
t = int(input())
mod = 10**9 + 7
while (t):
t -= 1
num, k = [int(x) for x in input().split()]
ans = k-1
l = k-num
a = l%(num-1)
d = num-1
n = (l-a)//d + 1
ans += (n*(a+l))//2
if (n >= k):
ans = k-1
print(ans%mod)
|
import json
from allauth import utils
from core.forms import ProfileForm, TeamForm, InviteUserForm
from core.models import Event, Team, TeamMember
from django.contrib import messages
from django.contrib.auth import get_user_model
from django.contrib.auth.decorators import login_required
from django.core.exceptions imp... |
# #!/bin/python3
#
# import math
# import os
# import random
# import re
# import sys
#
#
# # Complete the arrayManipulation function below.
# def arrayManipulation(n, queries):
# lista_final = [0 for _ in range(n)]
# for i in range(len(queries)):
# for j in range(queries[i][0], queries[i][1]+1):
# ... |
#-------------------------------------------------------------------------------
# Name: NLTK-Entity-Extraction
# Author: Pratap Vardhan
# Created: 17-10-2013
#-------------------------------------------------------------------------------
import nltk
# Read the file
f = open('file.txt')
# Each sente... |
#!python
# encoding: utf-8
# Created by djg-m at 07.01.2021
from handling_db import SqlHandling
class ManageDB:
"""
Creates a database and relations for messenger application.
"""
def __init__(self, db):
self.database = db
self.db = None
def create_db(self):
"""
... |
import pygame
class Screen:
screen = None
background = None
# Constructor for the screen object that uses the above screen size declarations
# background should be an SDL_rect
def __init__(self, w, h):
# Screen settings
self.screen = pygame.display.set_mode((w, h))
... |
# -*- coding: utf-8 -*-
# Copyright 2017 IBM RESEARCH. 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 requ... |
import sys
from node import *
#input params, where we make two lists, and make them intersect
input_list_1 = list([1, 9, 3, 6, 5, 11, 3, 2]);
input_list_2 = list([11, -1, 2, 4, 3, 7, 8, 9]);
intersect_index = 3;
linked_list_1 = node();
linked_list_1.make_list(input_list_1);
linked_list_2 = node();
linked_list_2.make_... |
import socket
import threading
import tkinter
import tkinter.messagebox
# 服务器
Ip = '127.0.0.1'
Port = 50007
ServerAddr = (Ip, Port)
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.bind(ServerAddr)
Channel = '0' # 表示不在任何一个聊天室
UserId = '0' # 表示还未进入聊天室，没有username
UserName = 'server'
Rooms = [] # 聊天室 [... |
# -*- coding: utf-8 -*-
"""
Created on Sat Jun 24 10:03:22 2017
@author: Jonathan Morgan
"""
from subprocess import call
import sys
import re
from PyQt5 import QtWidgets, QtCore, QtGui
from PyQt5.QtWidgets import QWidget, QStackedWidget, QApplication,\
QLineEdit, QCheckBox, QLabel, QAction, QMainWindow, QF... |
# Libraries
import time
import allFunctionFiles # all function required imported
# serial setup
port = "/dev/ttyUSB1"
baud = 9600
ser = serial.Serial(port, baud, timeout=None)
# Initializing Variables
obstacle_list = [] # List storing locations(node numbers) of obstacles
turn_cost_90 = 510 # Turn cost used for a... |
import sys,re,os.path
def RemoveAtAt(Line):
AtAtFinder = re.search('(.*?)(@.*?@)(.*)',Line)
if AtAtFinder:
OneDown = AtAtFinder.group(1)+AtAtFinder.group(3)
return RemoveAtAt(OneDown)
else:
return Line
def FormatSplit(Line):
return Line.replace('==','@')
def AddNewline(Line):
if Line[-1] == '\n':
return... |
# -*- coding: utf-8 -*-
"""
Created on Thu Apr 30 12:17:09 2020
@author: anusk
"""
import numpy as np
from scipy.stats import entropy
from math import log, e
import pandas as pd
import copy
import cv2
def entropy2(labels):
""" Computes entropy of label distribution. """
n_labels = labels.size
if... |
import pde
from matplotlib import pyplot as plt
import sys
import logging
logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
f,ap = plt.subplots(3)
f,ae = plt.subplots(3)
prob = pde.problems.instpoisson1d.quad
prob.plot(ap)
n=100
solver = pde.solvers.classic.poisson_pwlinear_1d_solver(prob)
solver.solve(n=10... |
# Faça um Programa que converta metros para centímetros.
# entrada de dados
metros = float(input('Digite uma distância em metros: '))
# processamento
centimetros = int(metros * 100)
mensagem = '{} metros equivalem a {} centímetros'.format(metros, centimetros)
# saída de dados
print(mensagem)
|
class ResultadoDFS:
def __init__(self, tiempo_visitado, tiempo_finalizado, bosque):
self.bosque = bosque
self.tiempo_finalizado = tiempo_finalizado
self.tiempo_visitado = tiempo_visitado
def get_tiempo_visitado(self):
return self.tiempo_visitado
def get_tiempo_finalizado(s... |
# Generated by Django 2.1.2 on 2019-01-28 07:22
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('products', '0037_auto_20190128_0919'),
]
operations = [
migrations.AlterField(
model_name='product',
name='product_d... |
# Generated by Django 2.1 on 2018-08-12 20:58
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name=... |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Fri Jul 28 11:46:46 2017
@author: ian
"""
import pandas as pd
import matplotlib.pyplot as plt
from scipy.stats import linregress
import datetime as dt
import numpy as np
import DataIO as io
path='/home/ian/OzFlux/Sites/GatumPasture/Data/Processed/All/Ga... |
import random, string
with open('./9.txt', 'w') as f:
for i in range(100):
len = random.randint(11, 14)
f.write(''.join(random.choices(string.ascii_lowercase +
string.ascii_uppercase + string.digits, k = len)) + "\n")
f.close() |
#!/usr/bin/env python3
import csv
class csvToDB:
playerlist = []
def csvImporter(self, csv):
with open('/home/tyrell/app/files/player_data.csv', newline='') as csvfile:
reader = csv.DictReader(csvfile)
return reader
def csvExportToPostgre(self, reader):
for row i... |
# coding: utf-8
'''
Created on 2017-05-16
@author:Alex Wang
执行shell命令
'''
import os
import subprocess
import threading
import time
def run(cmd, timeout=None, timeit=False):
if timeit:
start_time = time.time()
# print('[+] start({}) {}'.format(timeout, ' '.join(cmd)))
d = subprocess.run(cm... |
# -*- coding: utf-8 -*-
"""
Created on Wed Jan 17 19:11:07 2018
功能：获取头条新闻、体育资讯等资料
接口：聚合数据api接口，可以根据 type_参数来调整获取的新闻类型
@author: mynumber
"""
from urllib.request import urlopen
from urllib.error import HTTPError,URLError
import json
class News(object):
"""浏览信息，可以读取新闻的标题，文本等内容"""
def __init__(self)... |
{
'target_defaults': {
'msvs_settings': {
'VCCLCompilerTool': {
'WarningLevel': '4',
'WarnAsError': 'true',
},
},
'msvs_system_include_dirs': [
'$(ProjectName)', # Different for each target
'common', # Same for all targets
],
},
'targets': [
{
't... |
__author__ = 'VHLAND002'
import sys
import parse_ula
# array that will hold all variables that have been defined
definedVars = []
semantic_errors = []
# traverses the tuples to create the AST recursively
# @param: tree- this is the tuple list we get
# @param: value- this is the indentation value for the tab chars
... |
""" Taylor-Green Vortex
"""
from phi.flow import *
def taylor_green_pressure(x):
return math.sum(math.cos(2 * x * VORTEX_COUNT), 'vector') / 4 * math.exp(-4 * VORTEX_COUNT ** 2 * t / RE)
def taylor_green_velocity(x):
sin = math.sin(VORTEX_COUNT * x)
cos = math.cos(VORTEX_COUNT * x)
return math.exp(-... |
import torch
import torch.nn as nn
class DetectNet(nn.Module):
def __init__(self,
vis_sys,
num_classes,
vis_sys_n_out,
embedding_n_out=512):
super(DetectNet, self).__init__()
self.vis_sys = vis_sys
self.embedding = nn.Sequ... |
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 23 23:30:14 2019
@author: HP
"""
#dividing array into two arrays of equal sums
#can be done by using DP
s1=[]
s2=[]
def two_sum(arr,i,sum1):
if i==0:
if (arr[i]==sum1):
s1.append(arr[i])
return 1
elif sum1==0:
s2.app... |
from django.shortcuts import render
from django.contrib.auth.decorators import login_required
from django.http import HttpResponse
from project import settings
# Create your views here.
# @login_required
def index(request):
lang = request.META.get('LANGUAGE', request.META.get('LANG'))
if lang is None:
... |
#Write a Python program that accepts a string and calculate the number of digits and letters Sample Data : Python 3.2, Expected Output : Letters 6, Digits 2:
data=str(input("Enter your data here: "))
digits=0
letters=0
for i in data:
if i=='0' or i=='1' or i=='2' or i=='3' or i=='4' or i=='5' or i=='6' or i=='... |
#Qwerty@123
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
import Keys
MY_ADDRESS = Keys.getEmailID()
PASSWORD = Keys.getEmailPassword()
TO_ADDRESS = "kamarajk@tcd.ie"
def sendEmail():
s = smtplib.SMTP(host = 'smtp.gmail.com', port = 587)
s.starttls()
... |
def diff(A, B):
l = len(A)
n = 0
for i in range(l):
if A[i] != B[i]:
n += 1
return n
AB = input()
A, B = AB.split()[0], AB.split()[1]
d = len(A)
for i in range(len(B) - len(A) + 1):
d2 = diff(A, B[i:i + len(A)])
if d2 < d:
d = d2
print(d)
# Done
|
# -*- coding: utf-8 -*-
from flask import request, Blueprint
from flask import g
import json
import hashlib
import logging
from libs.util import make_response
from libs.util import create_access_token
from libs.response_meta import ResponseMeta
from .authorization import require_application_auth
from models.user import... |
'''Database models News API'''
from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
class DataTimeMixin:
'''
Mixin for initializing relevant sqlalchemy columns
datetime columns containing current datetime
'''
create_at = db.Column(db.DateTime, default=db.func.now())
class NewsArticle(Dat... |
import time
import queue
import random
import threading
from tkinter import *
from tkinter.dialog import *
from collections import deque
class GUI(Tk):
def __init__(self, queue):
Tk.__init__(self)
self.queue = queue
self.is_game_over = False
self.canvas = Canvas(self, width = 495, h... |
from django.shortcuts import render, redirect
from .form import ProduitForm,FactureForm
from django.contrib.auth.decorators import login_required
from django.http import HttpResponse
from .models import Produit, Facture
# Create your views here.
@login_required(login_url='/register/login/')
def AjouterProduit(requ... |
import numpy as np
import torch
from tqdm import trange
from .inception import InceptionV3
def get_inception_score(images, device, splits=10, batch_size=32,
verbose=False):
block_idx = InceptionV3.BLOCK_INDEX_BY_DIM['prob']
model = InceptionV3([block_idx]).to(device)
model.eval()
... |
# @see https://adventofcode.com/2015/day/17
from itertools import combinations
with open('day17_input.txt', 'r') as f:
containers = [int(l) for l in f]
def calc_num_of_ways(c: list):
min_ways, max_ways = 0, 0
l = len(c)
# Generate all combinations of containers
# Use [combinations of] the index of the li... |
import wave
from scipy import fromstring, int16
import numpy as np
from scipy import signal
import matplotlib.pyplot as plt
#wavfile = 'hirakegoma.wav'
wavfile = 'ohayo.wav'
wr = wave.open(wavfile, "rb")
ch = wr.getnchannels()
width = wr.getsampwidth()
fr = wr.getframerate()
fn = wr.getnframes()
nperseg = 256 #4096 #... |
# Generated by Django 2.0.5 on 2018-06-04 08:07
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('calculation', '0011_map_unit'),
]
operations = [
migrations.CreateModel(
name='Calculation',
... |
"""Utility functions for AUACM package"""
import requests
from auacm.common import BASE_URL
def log(message):
"""Log a message"""
print(message)
callbacks = dict()
def subcommand(command):
"""Decorator to register a function as a subcommand"""
def wrapped(function):
"""Add the function to th... |
from selenium.webdriver.common.by import By
from pageObjects.checkOutPage import checkOutPage
class HomePage:
# define constructor
def __init__(self, driver):
self.driver = driver
shop = (By.LINK_TEXT, "Shop")
def shopItems(self):
# return self.driver.find_element(*HomePage.shop)
... |
# -*- coding: utf-8 -*-
from django import forms
from ckeditor.widgets import CKEditorWidget
class PostAdminForm(forms.ModelForm):
desc = forms.CharField(widget=forms.Textarea, label='摘要', required=False)
content = forms.CharField(widget=CKEditorWidget(), label='正文', required=True) |
# imports
import pandas as pd
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error
import numpy as np
# read in the data
drinks = pd.read_csv('https://raw.githubusercontent.com/sinanuozdemir/python-data-science-workshop/master/drinks.csv', na_filter=False)
# features
X = dr... |
#!/usr/bin/env python3
"""Filter SNPS from the output of 03_saf_maf_gl_depth_all.sh
Usage:
<program> angsd_output_folder filtered_folder window_size min_maf max_maf_other_snps max_surrounding_snps
Where:
window_size is the number of base pairs on each side where surrounding SNPs are searched
min_maf is th... |
def int_to_bin(n):
return format(n, 'b')
|
import random as r
import time as t
import os
num1 = r.randint(2, 9)
num2 = r.randint(1, 9)
start = t.time()
calc = int(input("%d * %d = "%(num1,num2)))
end = t.time()
t.sleep(2) #뜸들이기
if calc == num1 * num2:
if end - start < 2:
print("천재")
else:
print("보통")
else:
print("실망이... |
def nested_lists():
allscores = set()
allnames = []
for i in range(int(input())):
list = []
name = input()
score = float(input())
list.append(name)
list.append(score)
allscores.add(score)
allnames.append(list)
allnames.sort(key=lambda x: x[1])
... |
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets('MNIST_data', one_hot=True)
import tensorflow as tf
sess = tf.InteractiveSession()
x = tf.placeholder(tf.float32, shape=[None, 784], name="x")
batch_size = tf.placeholder(tf.int32, None, name="batch_size")
def weight_variab... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# 识别人脸鉴定是哪个人
# 导入face_recogntion模块，可用命令安装 pip install face_recognition
import face_recognition
#将jpg文件加载到numpy数组中
liu_image = face_recognition.load_image_file("liu.jpeg")
liming_image = face_recognition.load_image_file("liming.jpeg")
#要识别的图片
unknown_image = face_recognit... |
import pipes
class CEProbeScript(object):
"""A class used to generate job-scripts for CE probes."""
def __init__(self):
self._required_files = []
self._generated_files = []
def require_file(self, fname, size = None, sha1sum = None):
self._required_files.append((fname, size, sha1sum))
def generate... |
#!/usr/bin/env python
import sys
from matplotlib import pyplot as plt
import parmed as pmd
orig_lib, new_lib, resname0, resname1 = sys.argv[1:]
res0 = pmd.load_file(orig_lib)[resname0]
res1 = pmd.load_file(new_lib)[resname1]
c0 = [a.charge for a in res0.atoms]
c1 = [a.charge for a in res1.atoms]
print(c0, sum(c0))
... |
# Exercício 6.17 - Livro
estoque = {
'tomate': [50, 2.30],
'alface': [35, 0.45],
'batata': [60, 1.20],
'feijão': [20, 1.50]
}
while True:
print('=-=' * 10)
produto = str(input('Informe o produto desejado: ')).lower()
if produto == 'sair':
print('FIM')
break
elif produto ... |
import os
import sys
import shutil
sys.path.insert(0, 'scripts')
sys.path.insert(0, 'tools/families')
sys.path.insert(0, 'tools/trees')
import experiments as exp
import fam
from ete3 import SeqGroup
def get_genes(input_ali):
msa = SeqGroup(input_ali)
genes = set()
for entry in msa.get_entries():
genes.add(en... |
"""
In training scheme 1, we don't anneal anything. There is an initial round of training without RL,
followed by a fragment wherein the exploration is gradually decreased.
There are 3 main hyper-parameters:
* area_weight during stage 0
* area_weight during remaining stages
* nonzero_weight during remaini... |
import xml_path
import uuid
from numpy import logical_and
import pandas as pd
from datetime import timedelta
import init_data_struct as ids
# all eval_ methods
def eval_leg_type_error(leg):
leg_type = xml_path.get_leg_type(leg)
if leg_type == 'OEV':
# previously get_leg_route_category(), shoiuld be... |
import unittest
from katas.beta.what_day_is_it import day
class DayTestCase(unittest.TestCase):
def test_equals(self):
self.assertEqual(day('20151208'), 'Tuesday')
def test_equals_2(self):
self.assertEqual(day('20140728'), 'Monday')
def test_equals_3(self):
self.assertEqual(day(... |
from os import times_result
import composite as cp
import filter
import get_VIs as vi
import harmonize
import export_as_geotiff as exp
import ee
def wrapper_prep(params):
'''
This function prepares each Landsat collection for merging by filtering for appropriate parameters
and harmonizing collection
... |
import sponsorapp.views as sponsorapp
from django.urls import path
app_name = 'sponsorapp'
urlpatterns = [
path('sponsor/', sponsorapp.sponsor, name='sponsor'),
]
|
import pytube
from pytube.cli import on_progress
url = input("Input video's url: ")
video = pytube.YouTube(url, on_progress_callback=on_progress)
stream = video.streams.get_highest_resolution()
stream.download('C:\\Users\\Workspace\\Downloads')
print('Done!')
|
import unittest
from katas.kyu_6.next_version import next_version
class NextVersionTestCase(unittest.TestCase):
def test_equals(self):
self.assertEqual(next_version('1.2.3'), '1.2.4')
def test_equals_2(self):
self.assertEqual(next_version('0.9.9'), '1.0.0')
def test_equals_3(self):
... |
def get_diagonal(arr):
index = 0
diagonal = []
for row in arr:
number = row[index]
diagonal.append(number)
index += 1
return diagonal
def diagonal_difference(arr):
first_diagonal = get_diagonal(arr)
arr.reverse()
second_diagonal = get_diagonal(arr)
return abs... |
from Geometry import Point, Rectangle
def main():
p1 = Point(2,5)
p2 = Point(5,6)
r1 = Rectangle(p1,p2)
print("Area=" + str(r1.getArea()))
print("Perimeter=" + str(r1.getPerimeter()))
r1.dilate(3)
print("\nDilated by 3")
print("Area=" + str(r1.getArea()))
print("... |
import math
import numpy as np
def similarity(v1, v2):
dot = np.dot(v1, v2)
mag1 = np.linalg.norm(v1)
mag2 = np.linalg.norm(v2)
return dot / (mag1 * mag2)
def angle(v1, v2):
sim = similarity(v1, v2)
return math.degrees(math.acos(sim))
def mbti_similarity(mbti1, mbti2):
m1 = np.array(m... |
from matplotlib import pyplot as plt
def smooth_line(li,size):
retract = (size-1)//2
for i in range(retract,len(li)-retract):
li[i] = sum(li[i-retract:i+retract])/size
return li
def draw_loss(losslist,epoch,savepath):
plt.rcParams['font.sans-serif'] = ['KaiTi']
plt.rcParams['axes.unicode_min... |
#!/usr/bin/env python
#-*-coding:utf-8-*-
# @File:adaboost_model.py
# @Author: Michael.liu
# @Date:2020/6/18 17:36
# @Desc: this code is ....
import numpy as np
import pandas as pd
import time
import json
import matplotlib.pyplot as plt
from sklearn.ensemble import AdaBoostClassifier
from sklearn.tree import Decision... |
from django import forms
from .models import Feature
class featureForm(forms.ModelForm):
class Meta:
model = Feature
fields = ('featureName','description')
labels = {
'featureName': 'Title'
} |
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
from dsn.util.systems import LowRankRNN
from dsn.train_dsn import train_dsn
import pandas as pd
import scipy.stats
import sys, os
os.chdir("../")
nlayers = int(sys.argv[1])
c_init_order = int(sys.argv[2])
sigma_init = float(sys.argv[3])
random... |
import cv2
import numpy as np
def hsv_shadow_remove(frame_rgb, background_rgb):
#Define variable
alpha = 0.4
beta = 0.6
th = 0.1
ts = 0.5
#CHANGE THE INITIALIZATION
foreground_without_shadows = []
hsv_frame = cv2.cvtColor(frame_rgb, cv2.COLOR_RGB2HSV)
hsv_background = cv2.cvtColor(... |
import os
wpos_x = 100
wpos_y = 100
os.environ['SDL_VIDEO_WINDOW_POS'] = "%d,%d" % (wpos_x,wpos_y)
import pygame
from pygame.locals import *
import random
text_size = 60
bg_col = (0,0,0)
text_col = (255,255,255)
w_width = 640
w_height = 480
try:
pygame.init()
w = pygame.display.set_mode((w_width,w_height))
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# 打印
print "hello wrold!"
print "hello Again"
print "I like typing this."
print "this is fun"
print "Yay,printing."
print "I'd much rather you 'not'"
print 'I "sad " do not touch this'
print "this is another line"
|
# -*- coding: utf-8 -*-
class Solution:
def arrayNesting(self, nums):
result = 0
for num in nums:
if num is None:
continue
current, length = num, 0
while nums[current] is not None:
previous = current
current = num... |
print('Faça um programa que leia tres numeros e mostre qual é o maior e qual é o menor')
n1 = int(input('Escreva um número: '))
n2 = int(input('Escreva um número: '))
n3 = int(input('Escreva um número: '))
print('O maior número desses é o {}'.format(max(n1, n2, n3)))
print('O menor número desses é o {}'.format(min(n1... |
name = input("Enter Name: ")
age = input("Enter Age: ")
print('Name: ', name)
print('Age after 2 years: ', int(age) + 2) |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import List, Optional, Tuple
import numpy as np
from gym import spaces
from gym.core import Env
from mtenv.utils import seeding
from mtenv.utils.types import ActionType, DoneType, EnvObsType, InfoType, RewardType
StepReturnType = Tupl... |
import turtle
import math
# class circle
class Circle:
def __init__(self,snow,radius,x,y):
snow.snowmani.up() #set the initial absolute direction of turtle
snow.snowmani.sety(y) #set the x and y coordinates of the turtle.These will act as initial points.Could have used goto too here.
snow.snowmani.setx(x)
arc... |
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