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import six
import unittest
from os.path import os
from parserutils.collections import wrap_value
from parserutils.elements import element_exists, element_to_dict, element_to_string
from parserutils.elements import clear_element, get_element_text, get_elements, get_remote_element
from parserutils.elements import inser... |
import socket
soc = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
soc.connect((socket.gethostname(), 2905))
recmsg = soc.recv(1024)
soc.close()
print("The time got from the server is %s" % recmsg.decode("ascii"))
|
import yfinance as yf #finance data from yahoo api
import streamlit as st #streamlit for building a data-driven web app
import pandas as pd #pandas for manipulate data
# st.write can read markdown style and pass the string to the web app
st.write("""
## Simple streamlit app
* Show the stock closing price and volume o... |
# -*- coding: utf-8 -*-
import sys
import logging
import json
from decimal import *
from quant.core.Spider import *
class StockSpider(SpiderEngine):
'''
更新指数
'''
def __init__(self):
SpiderEngine.__init__(self)
self.today = sys.argv[2]
def run(self):
self.tools.setup_loggin... |
from .base import ApiBase
import logging
from ..internal.utils import PaginatedSearch
logger = logging.getLogger(__name__)
class ExpenseReports(ApiBase):
"""
ExpenseReports are not directly searchable - only via as employees
"""
def __init__(self, ns_client):
ApiBase.__init__(self, ns_client=... |
import pytest
from ..__main__ import birthday_cake_candles
def test_case_1():
result = birthday_cake_candles(4, [3, 2, 1, 3])
assert result == 2
def test_more_age():
result = birthday_cake_candles(2, [3, 3, 3, 3, 3])
assert result == 2
def test_not_as_many_as_age():
result = birthday_cake_cand... |
import math
import numpy as np
import tensorflow as tf
from tensorflow.python.framework import ops
from tensorflow.contrib.layers.python.layers import batch_norm
def batchnorm(inputT, is_training=False, scope=None):
# return inputT
# Note: is_training is tf.placeholder(tf.bool) type
is_training = tf.... |
import requests
import os
from redis.exceptions import RedisError
from redis_util.redis_connection import ping_redis
from elasticsearch import ElasticsearchException
from elasticsearch_util.elasticsearch_connection import get_es_health
def parse_args(sub_parser):
subparser = sub_parser.add_parser("status", help=... |
from pyspark.sql import SparkSession
from pyspark.sql.functions import col, min, max
# Cria objeto da Spark Session
spark = (SparkSession.builder.appName("DeltaExercise")
.getOrCreate()
)
# Leitura de dados
enem = (
spark.read.format("csv")
.option("inferSchema", True)
.option("header", True)
.op... |
# open(fileName, 'wb') as f:
# while f:
"""
二进制文件的存储（音频，视频......）
1. 获取到下载文件的url 二进制方式下载
2.使用urllib模块的urlretrieve()可以进行音频文件下载
也支持远程下载到本地
urlretrieve(url, filename=None, reporthook=None, data=None)
url: 文件地址
filename： 存储路径/文件名
reporthook： 回调函数，连接上服务器时或相应数据下载完成后触发该函数
一般用来显示当前下载进度
data： （filename， ... |
# A simple lambda translator and evaluator
# - Converts a lambda-expression into SKI-expression (translate)
# and then reduce it using a combinator graph reduction engine (evaluate)
# - Lambda to SKI-expression conversion is done according to bracket abstraction
from functools import reduce
# Abstract Syntax for La... |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
""" Day 9
- add relative mode - 2
- add rel_base
- add opcode 9 - jump rel_base
"""
import common
from computer import Computer
##########
if __name__ == "__main__":
program = [int(n) for n in common.listify_input_string('09-input.txt')]
# Part 1 -- answer 2662308295
comp = Computer()
... |
hours_worked = float(input("Hours worked: "))
ot_hours = hours_worked - 40
straight_pay = 15.00 #this is a constant.
overtime_rate = straight_pay * 1.5
after_tax = 0.75 #35% removed for taxes, etc., conservative result
if ot_hours > 0:
net_pay = ((straight_pay * 40) + (ot_hours * overtime_rate)) * after_tax
else:
... |
import numpy as np
import pandas as pd
import os
def get_AIS_csv_data(f):
if not os.path.exists(f):
from import_csv import get_csv_data
get_csv_data()
df = pd.read_csv(f,
usecols=[0, 1, 2, 3],
parse_dates=['BaseDateTime'],
... |
# -*- coding: utf-8 -*-
import logging
from flask import current_app as app
from flask import request
from agroutils.restful.resource import patch_response_data, ok_response, error_response, Resource as AgroutilResource
from agroutils.session.auth import AuthenticationError
from eventtracker.utils.client import curre... |
#!/usr/bin/env python
# encoding: utf-8
import ConfigParser
from wxpy import *
import logging
import time
import smtplib
import time
import os
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from email.header import Header
logging.basicConfig(filename='/tmp/sendmail.log', level=lo... |
import sqlite3
import time
############### Settings ####################
#DB Name
DB_NAME = "mandal_sensor.db"
#SQL File with Table Schema and Initialization Data
SQL_File_Name = "voltage_current.sql"
##############################################
#Connect or Create DB File
conn = sqlite3.connect(DB_NAME)
#Read Tabl... |
dagen = "ma", "di", "wo", "do", "vr", "za", "zo"
vraag = input("Welke dag van de week kiest u? {} ".format(dagen))
i=0
while i < dagen.index(vraag)+1:
print(dagen[i])
i+=1 |
import thread, time, datetime, csv
import requests, json
session = requests.Session()
global totalBadRequests
totalBadRequests = 0
def input_thread(L):
raw_input()
L.append(None)
def do_rec():
global totalBadRequests
L = []
thread.start_new_thread(input_thread, (L,))
bad_requests = 0
good_requests = 0
while l... |
from game import Game
alpha = 0.60
gamma = 0.75
epsilon = 0.01
results = Game(alpha=alpha, gamma=gamma, epsilon=epsilon).run(
epochs=10, episodes=100)
with open(f'results_a{alpha}_{gamma}.md', 'w') as file:
file.write(''.join(results))
|
import math, collections, copy
from nltk.corpus import brown
BACKOFF_COEFFICIENT = .9
DISCOUNT = .35
STRIP_CHARS = "<>.\",?! "
class KneserBigramModel:
"""Kneser-Ney Backoff language model - Implements the Kneser-Ney model
with bigrams and backoffs to laplace unigram if the given bigram does
not exist in ... |
33.Write a program to input all sides of a triangle and check whether triangle is valid or not.
SOL:
side1=int(input('Enter 1st angle of a triangle:'))
side2=int(input('Enter 2nd angle of a triangle:'))
sidle3=int(input('Enter 3rd angle of a triangle:'))
if side1**2==(side2**2+sidle3**2) or side2**2==(side1**2+sidle... |
#!/usr/bin/env python3
from datetime import datetime
from random import randint
from dateutil.relativedelta import relativedelta
# relativedelta由第三方库提供, 第三方的日期处理库: python-dateutil
# pip3 install python-dateutil
class Date:
"""
随机日期时间:
时间戳: 从1970年1月1号0点0分0秒到现在有多少秒(格林)
"""
CMD = {'y': 'y... |
from abc import abstractmethod
from typing import overload, _T, Sequence, Generic, MutableSequence, Iterable
class people(Sequence[_T], Generic[_T]):
@abstractmethod
def insert(self, index: int, object: _T) -> None: ...
@overload
@abstractmethod
def __getitem__(self, i: int) -> _T: ...
@overload... |
from cycloauth.storage import BaseStorage, BaseToken, BaseConsumer, key_secret_generator
from txmongo import MongoConnectionPool
from cyclone.web import HTTPError
from twisted.internet import defer
class MongoToken(BaseToken):
m_id = None
def to_dict(self):
ret = {
'key': self.key,
'secret': se... |
# Generated by Django 3.1.1 on 2020-09-13 12:19
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('restauracja_app', '0004_typ'),
]
operations = [
migrations.RenameModel(
old_name='Typ',
... |
import random
import os
from art import logo, vs
from game_data import data
clear = lambda: os.system('cls')
def choose_person(data):
accountA = random.choice(data)
accountB = random.choice(data)
while accountA == accountB:
accountB = random.choice(data)
print(accountA)
print(accountB)
# personA =
... |
from random import randint
import random
class Playground(object):
size = (20, 20)
rows = size[0]
cols = size[1]
length = rows * cols
def __init__(self, size=size):
self.dim = size
self.borders = [(-1, i) for i in range(self.dim[1])] # top
self.borders += [(size[0],... |
class Variables:
"""
Methods for Part A.
Contains the methods required to complete Part A.
Author: Connor McDermid
Date: 2019.10.15
"""
def get_name(self):
name = input("Please input your name: ")
return name
def get_age(self):
age = int(input("Please input your age: "))
return age
... |
import numpy as np
import cv2
from graphics import *
class Postprocessor:
def postprocess(self, image):
#image = cv2.blur(image, (3,3))
_, image = cv2.threshold(image, 230, 255, cv2.THRESH_TOZERO)
if np.random.randint(0, 2) == 0:
image = cv2.erode(image, (1,1), iterations=np.ra... |
# REFERENCE: https://github.com/seungeunrho/minimalRL "
import gym
import collections
import random
import torch
import torch.nn as nn
import numpy as np
import math
import torch.nn.functional as F
import torch.optim as optim
from collections import namedtuple
device = torch.device("cuda" if torch.cuda.is_available()... |
import pytest
from expects import *
from os import walk
from pmp.experiments import Experiment, ExperimentConfig
from pmp.experiments.election_config import ElectionConfig
from pmp.rules import Bloc
@pytest.fixture
def experiment_config(approval_profile):
config = ExperimentConfig()
config.add_candidates(ap... |
"""Analyse tweets"""
import webhandler
import numpy as np
def edit_dist(a,b):
# hack to avoid recognising these as same
if a == 'Entertainment' and b == 'Oystertainment':
return 10
elif a == 'Oystertainment' and b == 'Entertainment':
return 10
sol=np.zeros((len(a),len(b)))
for ... |
employee_dict = {
'employee':{
'first_name':'John', 'last_name':'Doe', 'email':'john_doe@fake.com', 'phone':'123456789'
},
'devices': [
{'model':'HP Laptop', 'serial':'123', 'asset_tag':'456'},
{'model':'Surface Tablet', 'serial':'789', 'asset_tag':'000'}
]
}
# employee_dict =... |
# coding: utf-8
import os
import sys
import random
import math
import json
ROOT_DIR = os.getcwd()
with open('C0026_2.json', 'a') as outfile:
json_decode = json.load(outfile)
for i in json_decode:
print("key: ", i)
print("value: ", dict[i])
if i == "x":
print("value: ", dict[i])
print... |
from __future__ import division, print_function, absolute_import
import tensorflow as tf
import tensorflow.contrib.slim as slim
from tensorflow.contrib.layers.python.layers import initializers
import math
def get_num_params():
from functools import reduce
from operator import mul
num_params = 0
print(... |
import math
import os
import random
import re
import sys
def countBinaryOnes(n):
# Converting number to binary
# Python's bin functions returns binary starting with '0b'
# [2:] removes the first two characters of the string
binary_n = str(bin(n))[2:]
countOnes = 0
consecOnes = 0... |
#!/usr/bin/env python3
#
# The Qubes OS Project, http://www.qubes-os.org
#
# Copyright (C) 2017 Bahtiar `kalkin-` Gadimov <bahtiar@gadimov.de>
# Copyright (C) 2017 itinerarium <code@0n0e.com>
# Copyright (C) 2016 Jean-Philippe Ouellet <jpo@vt.edu>
#
# This program is free software; you can redistribute it and/or modify... |
def ghj(y):
if y > 0 :
return y
else:
return y**2
print(ghj(99-588))
if 14 <= 18:
pass
def pto():
pass |
#!/usr/bin/env python3
import sys
import pycalculix as pyc
# Model of a pinned plate with 3 pins
# one will be force, the others will be fixed
proj_name = 'pinned-plate'
model = pyc.FeaModel(proj_name)
model.set_units('in')
# set whether or not to show gui plots
show_gui = True
if '-nogui' in sys.argv:
show_gui ... |
import uuid
from django.db import models
from django.contrib.auth.models import User
class Movie(models.Model):
uuid = models.UUIDField(primary_key=True, editable=True)
title = models.CharField(max_length=256)
description = models.TextField()
genres = models.CharField(max_length=256, null=True, blank=... |
# coding: utf-8
# In[94]:
graph = {
'A':{'B':5, 'C':1},
'B':{'A':5, 'C':2, 'D':1},
'C':{'A':1, 'B':2, 'D':4, 'E':8},
'D':{'B':1, 'C':4, 'E':3, 'F':6},
'E':{'C':8, 'D':3},
'F':{'D':6}
}
# In[104]:
import heapq
parent_dict = {}
start_node = 'A'
visited = set()
pqueue = []
heapq.heappush(pq... |
from wpilib.command import TimedCommand
class AutoBallIntake(TimedCommand):
'''
ball intake command that can be used for autonomous.
'''
def __init__(self, motorspeed, timeoutInSeconds):
super().__init__("AutoBallIntake", timeoutInSeconds)
self.requires(self.getRobot().doublemotor)
... |
# 문제 설명
# 정수 배열 numbers가 주어집니다. numbers에서 서로 다른 인덱스에 있는 두 개의 수를 뽑아 더해서
# 만들 수 있는 모든 수를 배열에 오름차순으로 담아 return 하도록 solution 함수를 완성해주세요.
# 제한사항
# numbers의 길이는 2 이상 100 이하입니다.
# numbers의 모든 수는 0 이상 100 이하입니다.
# 입출력 예
# numbers result
# [2,1,3,4,1] [2,3,4,5,6,7]
# [5,0,2,7] [2,5,7,9,12]
# 입출력 예 설명
# 입출력 예 #1
# 2 = 1 + 1 입... |
from django.urls import path
from orders.views import OrdertListView,OrderUpdateView,OrderDetailView
app_name = 'products'
urlpatterns = [
path('', OrdertListView.as_view(), name='index'),
path('update-order/<int:pk>/', OrderUpdateView.as_view(), name='update_order'),
path('detail/<int:pk>/', OrderDet... |
import data_utils
from config.Deconfig import Deconfig
import pickle
ll = data_utils.get_some_captions(5000)
max = 0
for l in ll:
h = l.split()
if max < len(h):
max = len(h)
print(max)
|
from __future__ import annotations
from typing import Sequence, Optional, Any
import numpy as np
import tensorflow as tf
from sknlp.vocab import Vocab
from .nlp_dataset import NLPDataset
from .bert_mixin import BertDatasetMixin
from .utils import serialize_example
class ClassificationDataset(NLPDataset):
def __... |
# -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2004-2010 Tiny SPRL (<http://tiny.be>).
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU... |
from yumi.modulecontext import ModuleContext
from yumi.modulebase import Module
from yumi.api import init_global
class Initializer(Module):
@staticmethod
def do(args: list, context: ModuleContext):
return init_global(context.working_dir)
Modules = {
"init": Initializer
} |
from eod import tm_utils, trmm
import numpy as np
from numpy.testing import assert_array_equal, assert_allclose
import xarray as xr
import unittest
from utils import u_arrays as ua
class TestTMUtils(unittest.TestCase):
def test_minute_delta(self):
tt = [59, 0, 15, 13, 9, 2, 31, 27, 43, 45]
result... |
import apiclient.discovery
import googleapiclient.http
import httplib2
import oauth2client.client
import oauth2client.file
import oauth2client.tools
import threading
from . import util, config
_api_name = 'youtube'
_api_version = 'v3'
_auth_scope = 'https://www.googleapis.com/auth/youtube.readonly'
_client_secrets_... |
"""
Author: Reinaldo Mateus R J, Test version: 0.1
"""
import time
from selenium.webdriver.support.ui import WebDriverWait # available since 2.4.0
from settings.variables_test import *
from classes import common_functions
class project_test(common_functions.functions,object):
def setProject(self,t... |
from datetime import datetime, timedelta
from pyrogram import Client, filters
import config
from vk_bot import VKBot
tg_client = Client("kispython-translator", api_id=config.TG_API_ID, api_hash=config.TG_API_HASH)
def make_message_header(author, msg_time, edit=False):
""" Создание заголовка сообщения для VK. "... |
import math
class Math:
def __init__(self, eq):
self.equation = eq
self.equation_list = None
def print_equation(self):
print(self.equation)
def remove_spaces(self):
self.equation = self.equation.replace(" ", "")
def split_equation(self):
self.equation_list = self.equation.split(" ")
def is_ope... |
import json
from home_run.models import ScikitLearnModel
# Create the flask app
from flask import Flask, request
app = Flask(__name__)
from sklearn.externals import joblib
# Load in options form disk
with open('options.json') as fp:
options = json.load(fp)
# Instantiate a HRModel for sklearn type
ml = ScikitLea... |
#coding:utf-8
'''
Created on 2016-1-4
@author:
description:
'''
from subject.models import Activity, User
import time
from django.utils import timezone
def select_activity(req):
dao = Activity.objects.order_by("-id")[:req]
rsp = []
for v in dao:
rsp.append('\t'.join([timezone.local... |
class Solution(object):
def threeSum(self, nums):
if not nums:
return []
if len(set(nums))==1 and nums[0]==0 and len(nums)>2:
return [[0,0,0]]
output=[]
target=0
nums.sort()
for i in range(len(nums)-1):
if nums[i]==nums[i-1]:
... |
import numpy as np
from scipy.signal import correlate
import matplotlib.pyplot as plt
# load datasets
period = 1.0 # period of oscillations (seconds)
w = 50
t_min = 0
t_max = 0.1
t_step = 0.001
t = np.arange(t_min, t_max, t_step, dtype=np.float)
fai = np.pi / 4
A = np.sin(2 * np.pi * w * t)
B = np.sin(2 * np.pi * w *... |
import postfix_conf
import re
class SpaceConf(postfix_conf.PostfixConf):
def parse_row(self, row):
items = re.split('\s+', row)
row = Row()
row.key = items[0]
row.items = items[1:]
return row
def append_kv(self, key, value):
r = Row()
r.key = key
... |
from django.shortcuts import render, get_object_or_404
from django.http import HttpResponse, HttpResponseRedirect
from django.contrib import auth
from django.contrib.auth.decorators import login_required
from sign.models import Event, Guest
from django.db.models import Q
from django.core.paginator import Paginator, Emp... |
from django.shortcuts import render, redirect
from django.contrib.auth.hashers import check_password
from store.models.customer import Customer
from django.views import View
from store.models.product import Product
from store.models.orders import Order
from store.middlewares.auth import auth_middleware
class OrderVi... |
import hashlib
import logging
import requests
import time
from irodsManager.irodsUtils import get_bag_generator, bag_generator_faker, ExporterClient, ExporterState as Status
from http import HTTPStatus
from multiprocessing import Pool
from xml.etree import ElementTree
logger = logging.getLogger('iRODS to Dataverse')
... |
from flask_restplus import Resource
import app.main.service.user_service as user_service
from app.main.response.user_response import UserResponse
from app.main.controller.rest_plus_api import Api
api = Api.api
_userResponseType = UserResponse.user
@api.route('/<id>')
@api.doc(params={'id': 'The users heatmap id'})
c... |
import socket,sys
client = socket.socket()
client.connect(('localhost',9999))
while True:
msg = input(">>>>").strip()
if len(msg)==0:
continue
client.send(msg.encode('utf-8'))
res_return_size = client.recv(1024) #接收的命令结果的大小
print('接收的数据的大小：',res_return_size)
total_res_size = int(res_retu... |
import torch
import torchvision
from torch.utils.data import Dataset, DataLoader
from PIL import Image
class FacesDataset(Dataset):
def __init__(self, root_dir, size, n, total):
self.root_dir = root_dir
self.size = size
self.n_celebs = n
self.total = total
def __len__(self):
return self.n_celebs*self.size... |
from telegram import Update
from telegram.ext import Updater, CommandHandler, CallbackContext
def start(update: Update, context: CallbackContext) -> None:
update.message.reply_text(f'Hello {update.effective_user.first_name}')
updater = Updater('1766280930:AAHtKtuWbjSx_vpQmO1UNR4g_QkBqR6zd6I')
updater.dispatche... |
#프로그래머스 같은 곳에서는 def solution 안에서 작업해야 하기 때문에, global variable설정이 어렵다.
def solution(n,m, g):
#변수와 데이터 입력구간
graph=[]
n,m= n,m
for _ in range(n):
graph.append(g[_])
print(graph[_])
# 본격적인 알고리즘 구간 inner function 으로 정의하기.#이렇게 nested function 으로 정의하면, outer function에 접근할 수 있다.
def ... |
#!/usr/bin/env python3
#this script defines the variables and they can't be changed when the script is run
#unless you change the variables name in the script
name=("Nathalia")
origin=("Brazil")
color=("green")
activity=("sports")
animal=("dog")
breed=("corgi")
dog_name=("Noel")
print("My name is", name, ".", "I'm f... |
import spacy
import warnings
from medspacy.common.regex_matcher import RegexMatcher
nlp = spacy.load("en_core_web_sm")
class TestTargetMatcher:
def test_initiate(self):
assert RegexMatcher(nlp.vocab)
def test_add(self):
matcher = RegexMatcher(nlp.vocab)
matcher.add("my_rule", ["my_p... |
#!/usr/bin/python
import socket
import sys
import os
from subprocess import Popen
socket_address = ('localhost', 8888)
#TODO get freedback
def sendMessage(message):
# Create a UDS socket
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
# Connect the socket to the port where the server is listenin... |
# Generated by Django 2.0.7 on 2019-09-19 15:27
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('paintings', '0016_auto_20190919_0221'),
]
operations = [
migrations.AddField(
model_name='painting',
name='series',
... |
#!/usr/bin/env python
# coding: utf-8
import pandas as pd
from collections import Counter
import numpy as np
import nltk
from nltk.corpus import stopwords
from nltk.sentiment.vader import SentimentIntensityAnalyzer
from nltk.stem import PorterStemmer
#nltk.download('vader_lexicon')
import sklearn
from sklearn.neural_n... |
from django.shortcuts import render
from django.http import HttpResponse
from rest_framework.views import APIView
from rest_framework.response import Response
from django.contrib.auth.models import User, Group
from rest_framework.generics import (
RetrieveUpdateDestroyAPIView,
CreateAPIView
)
from .models impo... |
import rdkit
from rdkit import Chem
from rdkit.Chem import rdmolops
import numpy
import chainer.datasets as D
import chainer.datasets.tuple_dataset as Tuple
filename_train = 'tox21_10k_data_all.sdf'
filename_val = 'tox21_10k_challenge_test.sdf'
label_names = ['NR-AR', 'NR-AR-LBD', 'NR-AhR', 'NR-Aromatase', 'NR-ER',
... |
########################################################
# desc : deep neural network model for CTR prediction.
#
# @author : qiangz2012@yeah.net
#
########################################################
import tensorflow as tf
import numpy as np
class Dnn_Mlp(object):
def __init__(self, epoch, batch_size, \... |
import sys
def hash():
args = sys.argv
arg_length = len(args)-1
if arg_length == 1:
if args[1] == "-h" or args[1] == "-help" or args[1] == "--help":
print("detect-a-hash: detect.py <hash>")
else:
hash_length = (len(args[1]))
if hash_length == 32:
... |
'''
@author: Kaiwen Luo (k0l06rk)
this file holds the code for the main/experiments of tote merge.
'''
import random
import time
from MaxToteUtilAlgos.runnableHelpers import ReadSimulation
from MaxToteUtilAlgos.runnableHelpers import partition
from MaxToteUtilAlgos.runnableHelpers import Box
from MaxTote... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright (c) 2017 Telenav, Inc. All rights reserved.
import md5, os, re, subprocess, urllib
import cacheutils
def parseurl(cmd):
print 'cmd:', cmd
cmd = urllib.unquote(cmd)
print 'ucmd:', cmd
# mo = re.search(r'(http[s]://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\(\... |
import couchbase
from couchbase.bucket import Bucket
import json
from random import randint
import requests
import threading
import time
SLEEP_DURATION = 3
v8_debug_endpoint = "http://localhost:6061/v8debug/"
conn_str = "couchbase://localhost/default"
cb = Bucket(conn_str)
def populate_one_doc():
ssn1 = str(rand... |
""" This simulates when multiple balls in a container where collisions are perfectly elastic"""
from ball import Ball
import pygame
from pygame import Vector2
from itertools import combinations
from random import randint, randrange
""" Create a pygame window """
pygame.init()
width, height = 400, 400
win = pygame.dis... |
# -*-coding:utf-8-*-
'''
Tip 6_2. binary-coded decimal - Decimalism exchange
'''
print(int("30", 20))
|
from django.contrib.auth.mixins import LoginRequiredMixin
from django.shortcuts import render, redirect, reverse
from django.http import HttpResponse, JsonResponse
from django.core import serializers
from django.views.generic import ListView, CreateView, UpdateView, DeleteView, TemplateView, FormView
from .models impor... |
import torch
import spacy
from spacy.lang.en.stop_words import STOP_WORDS
from fuzzywuzzy import fuzz
import json, re, random, os
from copy import deepcopy
from tqdm import tqdm
flatten = lambda l: [item for sublist in l for item in sublist]
nlp = spacy.load('en_core_web_sm')
def remove_stop(input):
# input: list... |
from agents.simpleAgent import simpleAgent
from agents.markovAgent import markovAgent
from json import dump,load
from heuristics import *
class markovSimpleAgent(markovAgent,simpleAgent):
'''Not implemented'''
pass
|
"""
Divides the dataset_readers into training, development, and test split.
"""
import random
from pathlib import Path
from absl import app, flags, logging
from tqdm import tqdm
FLAGS = flags.FLAGS
flags.DEFINE_string('input_path', default=None,
help='Path to the input data')
flags.DEFINE_string(... |
import random as rd
import time
import cv2
from detection.opencv_dnn.detector import Detector
from tracking.deep_sort import generate_detections as gdet
from tracking.deep_sort import nn_matching, preprocessing
from tracking.deep_sort.detection import Detection
from tracking.deep_sort.tracker import Tracker
from util... |
################### PDF uncertainty calculator #################
## Edited by Raymond
## Edited on 4/16/14
## A better version!
#!/usr/bin/python
import re
import os
import math
import ROOT
import numpy
from ROOT import *
from array import array
from optparse import OptionParser
# MC truth of fitted vars
afb_mc = '0.0... |
model_name = "spice_self"
pre_model = "./results/stl10/moco/checkpoint_0999.pth.tar"
embedding = "./results/stl10/embedding/feas_moco_512_l2.npy"
resume = "./results/stl10/{}/checkpoint_last.pth.tar".format(model_name)
model_type = "clusterresnet"
num_head = 10
num_workers = 4
device_id = 0
num_train = 5
num_cluster = ... |
import pandas as pd
def download_scalabrino():
df = pd.read_csv("https://dibt.unimol.it/reports/clap/downloads/rq3-manually-classified-implemented-reviews.csv")
df = df.rename(columns = {"body": "text", "category": "label"})
df["app"] = df["App-name"]
df["sublabel"] = df["rating"]
return df
|
import os
def add_supported_project(project_name):
if not __project_folder_has_dir(project_name):
raise Exception("Could not find Project with name {} in Projects folder. \n Will not add it to supported projects!".format(project_name))
__write_to_supported_projects(project_name)
print("Added {} to... |
import cv2
import os
import numpy as np
from PIL import Image
from keras.models import load_model
from keras.preprocessing.image import load_img
from keras.preprocessing.image import img_to_array
font = cv2.FONT_HERSHEY_SIMPLEX
def generate_gesture(ges_name, num_train_samples, save=True):
cam = cv2.VideoCapture(0)... |
import FWCore.ParameterSet.Config as cms
####### Ecal Iso
hltEgammaEcalPFClusterIso = cms.EDProducer( "EgammaHLTEcalPFClusterIsolationProducer",
energyEndcap = cms.double( 0.0 ),
effectiveAreaBarrel = cms.double( 0.149 ),
etaStripBarrel = cms.double( 0.01 ),
rhoProducer = cms.InputTag( "hltFixedGridRh... |
from src.MOOA.NSGA_II import nsga_ii
from src.ea_nas.moo_operators import architectural as moo
from src.ea_nas.evolutionary_operations.mutation_for_operators import mutate
def optimize(population, selection, steps, config):
for i in range(steps):
# Preparation:
children = []
# Mutation:
... |
import requests
import urllib.parse
def get_usernames_from_names(name_file):
usernames = []
with open(name_file, mode='r', encoding='utf-8') as names_file:
for line in names_file:
query = line.strip()
query_encoded = urllib.parse.quote(query)
search_url = f'https:... |
from distutils.core import setup
setup(name='vacationlibrery',
version='1.1',
author='Mateusz Wojcik',
author_email='226611@student.pwr.edu.pl',
url='https://github.com/BombaGR',
packages=['myPackage'],
)
|
# standard library
import json
import argparse
# third-party libraries
import torch
# project libraries
from decoder import GreedyDecoder
from test import evaluate
from data.data_loader import AudioDataLoader, SpectrogramDataset
from model import DeepSpeech
parser = argparse.ArgumentParser(description="evaluates mod... |
class employee:
def __init__(self,name,dob):
self.name = name
self.dob = dob
self.salary = 50
def salary_review(self,review):
self.salary = self.salary*(1+review*0.01)
emp1 = employee("Nguyen Van A", 15022019)
print(emp1.name,emp1.dob,emp1.salary)
emp1.salary_review(... |
# 평균값 구하기
f = open("sample.txt", 'r', encoding='UTF-8')
data = f.readlines()
f.close()
sum=0
for i in range(len(data)):
sum += int(data[i])
# print(sum)
average = sum / len(data)
# print("average = ", sum / len(data))
if len(data) > 0:
with open('result.txt', 'w', encoding='UTF-8') as f:
f.write(str(a... |
#main code to do classification
import torch, torchvision
from torchvision import datasets, models, transforms
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader
import time
from torchsummary import summary
import numpy as np
import matplotlib.pyplot as plt
import os
from PIL imp... |
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