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# Generated by Django 3.1.2 on 2021-07-12 17:02
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('loot', '0014_auto_20201118_1745'),
]
operations = [
migrations.AlterField(
model_name='item',
name='category',
... |
import csv
import numpy as np
from nltk import word_tokenize, pos_tag, ne_chunk
def readData(url, max_length):
'''
Read Train Data Set
'''
with open(url) as tsvfile:
reader = csv.DictReader(tsvfile, dialect='excel-tab')
array_data = []
array_labels = []
for row in reader:
data = row['HEADLINE']
... |
import os
import base64
import requests
# disable ssl warnings
import urllib3
urllib3.disable_warnings()
# API configuration and parameters ...
pc_address = '10.38.15.9'
username = 'admin'
password = os.environ.get('PASSWORD', 'nx2Tech911!') # change the password to a suitable value
authorization = base64.b64encode(... |
import sys
from PyQt5.QtWidgets import QMainWindow,QApplication,QHBoxLayout,QVBoxLayout,QLabel,QWidget
from PyQt5.QtWidgets import QPushButton,QMessageBox,QLineEdit,QFileDialog,QRadioButton
from PyQt5.QtGui import QIcon,QPixmap,QPalette,QBrush,QFont
from graduation_project.predict import pre_photo
from graduation_... |
N = int(input())
A = list(map(int, input().split()))
sums =sum(A)
l = 0
mlen = sums
for i in A:
l += i
r = sums - l
#print("l="+str(l) + "r="+str(r))
lr =l-r
if lr <0:lr*=-1
#print("mlen="+str(mlen)+"rl=" + str(lr))
if mlen < lr:
break
else:
mlen = r-l
if mle... |
from django.shortcuts import render
from .models import Fooddishes
from .models import Fooddishes1, Toprecipe
# Create your views here.
def home(request):
dishes = Fooddishes.objects.all()
dishes1 = Fooddishes1.objects.all()
recipes = Toprecipe.objects.all()
return render(request, "base.html", {'... |
import tensorflow as tf
import tensorflow.keras as keras
from tensorflow.keras.metrics import AUC, BinaryAccuracy, FalseNegatives, FalsePositives, Precision, Recall, \
TrueNegatives, TruePositives
from tensorflow.python.keras.callbacks import LambdaCallback
from tensorflow.python.keras.layers import Dropout
from te... |
# -*- coding: utf-8 -*-
"""
Created on Wed Sep 30 22:45:10 2020
@author: admin
"""
import numpy as np
import pandas as pd
from flask import Flask,render_template,request,jsonify
import pickle
app = Flask(__name__)
model =pickle.load(open('finalmodel_TRB.pkl','rb'))
cols_when_model_builds = model.get_bo... |
import tkinter as tk
# TO DO: turns, purple highlithing for chosen pawn, better code
class Checkers(tk.Frame):
def __init__(self, parent, *args, **kwargs):
tk.Frame.__init__(self, parent, *args, **kwargs)
self.parent = parent
my_frame = tk.Frame(parent)
# holds coords and a corr... |
''''
anisotropic TMM formulation
PQ formulation breaks down since the
differential equation
dz([ex, ey, hx, hy]) = Gamma ([ex, ey hx, hy])) has a Gamma matrix which is completely dense
'''
import numpy as np
import cmath;
from scipy.linalg import eig
def Gamma(kx, ky, e_tensor, m_r):
'''
:param kx:
:para... |
import datetime
import json
from flask import Blueprint, jsonify, request, current_app
from flask_login import current_user
import db
from utils import database
from utils.file_manager import FileManager, FileType
bp = Blueprint("home", __name__)
@bp.route("/ping", methods=["GET"])
def ping():
return jsonify({... |
#Project Euler Question 48
#Self powers
result = 0
for x in range(1,(1000 + 1)):
result += (x**x)
print (int(str(result)[-10::])) |
'''
@package fader
@brief
@details
@author Remus Avram
@date 2014.12
'''
from PyQt4 import QtCore, QtGui
class FaderWidget(QtGui.QWidget):
'''Fades between tow widgets'''
def __init__(self, old_widget, new_widget=None, duration=1000, reverse=False):
QtGui.QWi... |
from sklearn import datasets
# Load dataset
iris = datasets.load_iris()
# Create and fit a nearest-neighbor classifier
from sklearn import neighbors
knn = neighbors.KNeighborsClassifier()
knn.fit(iris.data, iris.target)
# Predict and print the result
result=knn.predict([[0.1, 0.2, 0.3, 0.4]])
print(result)
|
# -*- coding:utf-8 -*-
# __author__ = 'gupan'
set_1 = set([1, 2, 3, 4, 5, 6, 7, 8])
set_2 = set([2, 3, 4, 5, 6, 8, 9, 10])
sub_1 = {1, 2, 3}
sub_2 = {11}
print(set_1)
print(set_2)
print(set_1.intersection(set_2))
print(set_1.union(set_2))
print(set_1.difference(set_2))
print(set_2.difference(set_1))
print(sub_1.issubs... |
import sys
import json
from twisted.python import log
from twisted.internet import reactor
from autobahn.twisted.websocket import WebSocketServerFactory, \
WebSocketServerProtocol
from utils.thread_with_trace import thread_with_trace
from api.tal import Tal
from config import token
class Anna(WebSocketServerProt... |
from django.utils.translation import ugettext_lazy as _
"""
Django settings for vminventory project.
For more information on this file, see
https://docs.djangoproject.com/en/1.7/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.7/ref/settings/
"""
# Build paths... |
"""
Sawyer Bailey Paccione and Olif Soboka Hordofa
audioDetection.py
Tufts University Spring 2021, ME-0035
Purpose: Detect whether audio was playing or not playing and convey that
information to a LEGO SPIKE PRIME
Description: This audio detection uses K-Nearest-Neighbors Algorithm. This
... |
import uuid
from jsonschema import FormatChecker
@FormatChecker.cls_checks("uuid")
def check_uuid_format(instance):
try:
uuid.UUID(instance)
return True
except ValueError:
return False
print("JSONSchema validation supported for the following 'format' values:")
print(", ".join(Format... |
import numpy as np
from math_utils import *
from entities import *
def worldgenerator(densities, width, height):
floor = np.empty([width, height], dtype=object)
for x in range(width):
for y in range(height):
val = np.sum([step(np.random.uniform(0, 1) - np.sum(densities[:i]), 1) for i in range(1, len(densities))... |
class Foo:
def func(self):
print('我胡汉三又回来了')
f1=Foo()
f1.func() #调用类的方法,也可以说是调用非数据描述符
#函数是一个非数据描述符对象(一切皆对象么)
print(dir(Foo.func))
print(hasattr(Foo.func,'__set__'))
print(hasattr(Foo.func,'__get__'))
print(hasattr(Foo.func,'__delete__'))
#有人可能会问,描述符不都是类么,函数怎么算也应该是一个对象啊,怎么就是描述符了
#笨蛋哥,描述符是类没问题,描述符在... |
# Generated by Django 2.0.3 on 2018-10-21 06:31
import datetime
from django.db import migrations, models
import django.utils.timezone
from django.utils.timezone import utc
class Migration(migrations.Migration):
dependencies = [
('upload', '0001_initial'),
]
operations = [
migrations.Add... |
import numpy as np
import numpy.fft as fft
# Constant parameters
Re = 10
nu = 1/Re
NX,NY = 128,128
LX,LY = 2*np.pi,2*np.pi
deltaX = LX/(NX-1)
deltaY = LY/(NY-1)
deltaT = 0.001
iter_step = 3000
def pre():
kx1 = np.linspace(-NX / 2, NX / 2, NX, endpoint=False).reshape(NX, 1)
kx2 = np.linspace(-NX / 2, NX / 2,... |
default_global_configuration = {
'dashboard': {
'show_not_required_requisitions': True,
'show_not_required_scheduled_entries': True,
'allow_additional_requisitions': False},
'appointment': {
'allowed_iso_weekdays': '1234567',
'use_same_weekday': True,
'default_app... |
import mock
import unittest
import datetime
from common import helpers
@mock.patch('common.config.DEFAULT_FILTER', {"validity": {"$ne": False}})
class Test(unittest.TestCase):
# No argument passed
def test_build_mongo_query_no_args(self):
response = helpers.build_mongo_query(... |
#!/usr/bin/env python
'''
Author: Marco Boretto
Mail: marco.boretto@cern.ch
Python Version: 2.7
'''
import logging
import logging.config
from controllers import Gfal2Controller
import logging
import gfal2
if __name__ == '__main__':
# logging.config.fileConfig('na62cdr-logging.ini')
LOGGER = logging... |
"""
Extracts frames from youtube live streams
Todo:
- Add tests
Ref:
https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_gui/py_video_display/py_video_display.html
"""
import cv2
import pafy
import youtube_dl
import time
import os
from urllib.error import HTTPError
import configparser
import ... |
import itertools
class Conjunto:
def __init__(self):
self.conjunto = []
def adicionar(self, item):
if item not in self.conjunto:
self.conjunto.append(item)
def remover(self, item):
self.conjunto.remove(item)
def pertinencia(self, item):
return... |
import time, requests, json, urllib, os
from flask import Flask
app = Flask(__name__)
def get_data():
data = {
"tillfalle":"Urval1",
"vy":"Antagningspoang",
"antagningsomgang":"HT2020",
"larosateId":"",
"utbildningstyp":"p",
"fritextFilter":"",
"urvalsGrupp":... |
a = int(input())
reverse = 0
while(a > 0):
reminder = a %10
reverse = (reverse *10) + reminder
a = a//10
print("reverse of entered number is = %d" %reverse)
|
############################################################################################
## A multifuntional python script to carryout secondary structure analyses using MDTraj ##
## Author: Sid Narasimhan ##
#######################################... |
# -*- coding: utf-8 -*-
"""
Created on Thu Sep 19 11:04:34 2019
@author: Blake
"""
import sqlite3
import os, sys
prev_violations = []
# Checks if database file exists and if it does connects to database, else quits the script
def check_db_file():
db_file = "./violations.db"
# If file exists, run query
i... |
def multiply(x,y):
result = 0
for i in range(y):
result += x
print(result)
multiply(4,6)
|
"""
Making an index page with search Engine for the Leetcode root folder
@author: pkugoodspeed
@date: 06/12/2018
@copyright: jogchat.com
"""
import os
from jinja2 import Template
from .utils import ColorMessage, getHtmlElement
def _getIndexStyle(font="Chalkduster", theme="silver", boxcolor="gray", hovercol... |
BASE_HOST = "http://0.0.0.0"
PORT = 5000
BASE_PATH = "/api/"
def get_formatted_URL():
return "{}:{}{}".format(BASE_HOST, PORT, BASE_PATH)
|
"""
@author: Tingxuan Gu
"""
import logging
import os
from datetime import datetime, date
from typing import Optional
from urllib import error
import rootpath
import wget
rootpath.append()
from backend.connection import Connection
from paths import SOIL_MOIS_DATA_DIR
from backend.data_preparation.crawler.crawlerbase ... |
import asyncio
import json
import pymongo
import redis
import opentracing
import logging
import time
from nats.aio.client import Client as NATS
from nats.aio.errors import ErrConnectionClosed, ErrTimeout, ErrNoServers
from jaeger_client import Config
async def run(loop):
#=============== configuracion con servidor... |
# -*- coding: utf-8 -*-
# Copyright (C) 2016-TODAY touch:n:track <https://tnt.pythonanywhere.com>
# Part of tnt: Flespi Monitoring addon for Odoo. See LICENSE file for full copyright and licensing details.
from odoo import api, fields, models
class TntFlespiDeviceLog(models.Model):
_inherit = 'tnt.flespi.device.... |
#Python program to get an input string from the user and replace all the empty spaces with _ underscore symbol
input_string=input("enter the input string :")
print("The input string is ",input_string)
for x in input_string:
if (x==" "):
replaced_string=input_string.replace(" ","_")
print("The input string after repl... |
def funcao(nome,fabricante,**carro):
carros={}
carros["nome"]=nome
carros["fabricante"]=fabricante
for key, value in carro.items():
carros[key]=value
return carros
a=funcao("camaro","Chevrolet",ano=2015,porência=461)
print(a)
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (C) 2016 Paul Brodersen <paulbrodersen+entropy_estimators@gmail.com>
# Author: Paul Brodersen <paulbrodersen+entropy_estimators@gmail.com>
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public Li... |
'''
Approach 1: Backtracking
Algorithm
Backtracking is an algorithm for finding all solutions by exploring all potential candidates.
If the solution candidate turns to be not a solution (or at least not the last one),
backtracking algorithm discards it by making some changes on the previous step,
i.e. backtracks an... |
produkty = {'S1222': 'sukienka trojkat',
'P1222': 'spodnie krata',
'X212': 'konsola do gier'}
igla = 'X2X'
if igla in produkty:
print("znalazlem{0}".format(igla))
else:
print("Brak w magazynie {0}".format(igla))
|
#!/usr/bin/python3
#The seed() method initializes the basic random number generator. Call this function before calling any other random module function.
# seed ([x], [y])
import random
random.seed()
print ("random number with default seed", random.random())
random.seed(10)
print ("random number with int seed", random.... |
def solution_seventeen(str):
sub_str = str[-2:]
return sub_str * 4
print(solution_seventeen('Mcnilly'))
print(solution_seventeen('Goshomi'))
|
from yolo3.model import YoloBody, TinyYoloBody, model_saver, channel_move_forward, yolo_head
from yolo3.utils import letterbox_image
import os
import numpy as np
import torch
import colorsys
import time
import cv2
from PIL import Image, ImageFont, ImageDraw
class Yolo():
def __init__(self):
sel... |
"""
Creates CSV files where the data manipulations and cleaning are performed
"""
import csv
import processor
def writecsv(filename, keyword=None):
"""
Function for writing data into csv files
:param filename: Name of the file to be generated
"""
if filename == 'tracksearch':
print('Gener... |
#Algoritmos y programación I.
#Cátedra: Essaya.
#Práctica: Grace.
#Nombre: Mauro Javier Santoni.
#Padrón: 102654.
#Corrector: Juan Patricio Marshall.
"""
Conway's Game of Life
---------------------
https://es.wikipedia.org/wiki/Juego_de_la_vida
El "tablero de juego" es una malla formada por cuadrados ("células") que... |
#记录生肖，根据年份来判断
#python对双引号和单引号没有区分，当str里面含有单引号就用双引号
chinses_zodiac = '猴鸡狗猪鼠牛虎兔龙蛇马羊'
#print(Chinses_zodiac[0:4]) #从后往前用负数
#year = 2018
#print(year % 12)
#print(Chinses_zodiac[year % 12])
#print('狗'in Chinses_zodiac)
#year = int(input('请输入出生年份：'))
#for cz in Chinses_zodiac:
# print(cz)
#for i in range(1,13):
# pr... |
import csv
import glob
import os
import pathlib
import random
import subprocess
import sys
import cv2
# import dlib
import joblib
import numpy as np
from tqdm import tqdm
import shutil
# import Models.Config.SEResNet50_config as config
from mtcnn.mtcnn import MTCNN
base_path = os.path.dirname(os.path.abspath(__file__)... |
from sklearn import svm
class Classifier:
def __init__(self, configuration):
self.configuration = configuration
self.classifier = svm.SVC(kernel='linear', C=1000)
# self.classifier = svm.SVC()
# self.classifier = svm.LinearSVC()
# self.classifier = svm.SVC(decision_function... |
import time
from fastapi import status, HTTPException
from src.service.lesson_interface import LessonsInterface
def hello_world():
return "Hello World!"
def why_python():
return """
Tcl -- It is short (only three letters) and does a suprising
amount given that it doesn't have a vowel. ... |
#!/usr/bin/env python
import sys
filename = sys.argv[1]
nfile = filename.split('.')[0] + '_swapped.2dm'
with open(nfile, 'w') as ofile:
with open(filename) as ifile:
for line in ifile.readlines():
if line.split()[0] == "ND":
h, n, x, y, z = line.split()
nli... |
#!/usr/bin/env python
"""
Test file for creating data training module
"""
import sys
import pickle
import string
import random
import re
import math
import nltk
import numpy as np
from nltk import FreqDist
from nltk.tokenize import TweetTokenizer
from nltk.corpus import stopwords
from nltk.classify.scikitlearn import S... |
import os
import json
import numpy as np
import pandas as pd
from itertools import chain
from keras import optimizers
from keras.applications.inception_v3 import InceptionV3, preprocess_input
from keras.models import Model
from keras.layers import Input
from keras.layers import Dense, GlobalAveragePooling2D
from keras.... |
import greenthumb
import json
import sched
from greenthumb import util
from greenthumb.models.mongo import (users, gardens, plant_types, user_plants)
from flask import (abort, request, session, jsonify)
import datetime
import bson
"""
GreenThumb REST API: usergarden.
GreenThumb Group <greenthumb441@umich.edu>
""... |
from django.urls import path, include
from rest_framework import routers
from rest_framework.authtoken import views
## Import views from the Rest API
from restAPI.views import (
TeamView,
ProjectView,
DefectView,
ReviewView,
ProductView,
PhaseTypeView,
UserView
)
"""
*** This file is used ... |
from typing import Dict, Generator, List
from dateutil.relativedelta import relativedelta
from django.utils import timezone
from ee.clickhouse.client import sync_execute
SLOW_THRESHOLD_MS = 10000
SLOW_AFTER = relativedelta(hours=6)
SystemStatusRow = Dict
def system_status() -> Generator[SystemStatusRow, None, Non... |
# -*- coding: utf-8 -*-
from bot_proto import *
from db_proto import DB
def feedback_handler(update, feedback_state):
if 'message' in update:
message = update['message']
if 'from_id' in update:
from_id = update['from_id']
if feedback_state == 1:
log_event("FEEDBACK: {0}".format(m... |
#!/usr/bin/python
import boto3
import json
import logging
import time
import sys
import click
client = boto3.client('iam')
logging.basicConfig(filename='output.log', level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
iam_output = dict()
# Generating credentials report
def get_credent... |
import os
def upload_cover_dir(obj,file_obj):
file_ext = file_obj.split('.')[-1].lower
_file = '{0}.{1}'.format(obj.id,file_ext)
return os.path.join('book_cover',_file)
def upload_pdf_dir(obj,file_obj):
file_ext = file_obj.split('.')[-1].lower
_file = '{0}.{1}'.format(obj.id,file_ext)
return os.path.join('pdf'... |
# -*- coding:utf8 -*-
import os, sys, re, json
import argparse
from copy import deepcopy
from copy import deepcopy
from bs4 import BeautifulSoup
from pyquery import PyQuery as pq
from urllib.parse import urljoin
import vthread
import pymongo
from copy import deepcopy
html_text = '''
<div id="main-content" class="regio... |
Num = int(input("Please enter a number:"))
#print(Num%2)
NumStr = str(Num)
if(Num%2 == 0):
print( NumStr +" is an Even Number")
else:
print(NumStr +" is a Odd Number")
|
from .mnist import get_mnist
from .usps import get_usps
from .sixteen_class_imagenet import get_16_class_imageNet_dataloader
__all__ = (get_usps, get_mnist, get_16_class_imageNet_dataloader)
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Author rsg
#
import os
import datetime
import time
import logging
from utils import random_str
logger = logging.getLogger(__name__)
class FileService(object):
def __init__(self, file_name, content):
self._file_name = file_name
self._content = c... |
from dataloader import PortraitDataloader, PortraitToInferloader, mean, std
import torch
import segmentation_models_pytorch as smp
from matplotlib import pyplot as plt
import numpy as np
import pandas as pd
from pathlib import Path
import os
import cv2
#base_path = Path(__file__).parent.parent
data_path = Path("./APDr... |
import sys
import traceback
from typing import List
from importlib import util
from ConfigValidator.CustomErrors.BaseError import BaseError
from ConfigValidator.CLIRegister.CLIRegister import CLIRegister
from ConfigValidator.Config.Validation.ConfigValidator import ConfigValidator
from ConfigValidator.CustomErrors.Con... |
# graph by adjacency matrix
INF = 99999999 #infinity
graph = [ [0,7, 5],
[7,0,INF],
[5,INF,0]
]
print(graph)
|
#Exemplo de rede convolucional usando Keras
from keras.datasets import mnist
from keras.utils.np_utils import to_categorical
from keras.models import Sequential
from keras.layers import Dense, Dropout, Conv2D, Flatten, MaxPooling2D
(x_treino, y_treino), (x_teste, y_teste) = mnist.load_data()
print(x_treino.sh... |
import unittest
from algkit.solutions import find_words, exist_word
class WordSearchTestCase(unittest.TestCase):
def test_find_words_n1(self):
board = [
['o', 'a', 'a', 'n'],
['e', 't', 'a', 'e'],
['i', 'h', 'k', 'r'],
['i', 'f', 'l', 'v']
]
... |
# # Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
@staticmethod
def get_carry_on(num):
if num >= 10:
return num - 10, 1
else:
return num, 0
@staticmethod
def n... |
import app
import item
import uiScriptLocale
window = {
"name" : "Acce_CombineWindow",
"x" : 0,
"y" : 0,
"style" : ("movable", "float",),
"width" : 215,
"height" : 270,
"children" :
(
{
"name" : "board",
"type" : "board",
"style" : ("attach",),
"x" : 0,
"y" : 0,
"width" : 215,
"height" :... |
#!/usr/bin/env python
# imports from standard python
from __future__ import print_function
import os
import sys
# imports from local packages
# imports from pip packages
import keras
import six
# imports from MiST
from MiST import eval
from MiST import train
from MiST import multi_train
from MiST import utilis
from... |
'''
check the +/- of the 10 E. coli specific regions for each of the downloaded enterobase genomes,
and compile that as a table.
eg. `name` `marker 1` `marker 2` `marker N`
'''
import csv
import logging
import os
import subprocess
import sys
import tempfile
from tqdm import tqdm
from multiprocessing import pool
loggi... |
from django.contrib import admin
# Register your models here.
from .models import newsletter_list
class NewsletterAdmin(admin.ModelAdmin):
list_display = ['email_address', 'user_name', 'threshold', 'timestamp', 'updated']
list_filter = ['email_address', 'user_name', 'threshold', 'timestamp', 'updated']
search_fi... |
n = int(input())
numbers = [x for x in input().split()]
count_final = 0
result = numbers[0]
for i in numbers:
count = 0
for j in range(len(numbers)):
if i == numbers[j]:
count += 1
if count > count_final:
count_final = count
result = i
print(result)
|
from django.contrib import admin
from polls.models import Person
# Register your models here.
admin.site.register(Person)
|
def is_polydivisible(s, b):
digit_list = list(s)
list_len = len(digit_list) + 1
list_power = range(1, list_len)
list_power.reverse()
base_10 = 0
for i, j in zip(digit_list, list_power):
base_10 += int(i)*(b**j)
decider = 0
base_10_list = [int(x) for x in str(base_10)]
cal... |
from component import *
destroyables = []
def get_destroyables():
return destroyables
# singleton
class Destroyable(Component):
type = 'destroyable'
def __init__(self, shape = None, prefix = ''):
self.shape = shape
self.prefix = prefix
def attach(self, entity):
super(Destroya... |
#encoding: UTF-8
# Autor: Karla Fabiola Ramirez Martinez
# Descripcion: Porcentaje hombres y mujeres
mujeres=int(input("Dime el numero de mujeres que hay: "))
hombres=int(input("Dime el numero de hombres que hay: "))
total=mujeres+hombres
porcentaje=100/total
pmujeres=porcentaje*mujeres
phombres=porcentaje*hombres
p... |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
import itertools
for x in itertools.permutations( [ 1, 2, 3, 4 ] ) :
print( x )
|
"""
Utilities for lists.
"""
from __future__ import absolute_import
from __future__ import print_function
from six.moves import xrange
import numpy as np
from operator import itemgetter
from itertools import groupby
def list2ndarray(a):
if(isinstance(a, list)):
return np.asarray(a)
assert(isinstance(... |
from thumbnail_image.utils import AWSUtils, ImageUtils, FileUtils
class UploadThumbnailImageToS3:
_s3_client = None
def __init__(self, s3_client) -> None:
self._s3_client = s3_client
def execute(self, s3_event: dict) -> str:
bucket, key = AWSUtils.get_s3_data(s3_event)
if no... |
#
# Copyright (c) 2023, Gabriel Linder <linder.gabriel@gmail.com>
#
# Permission to use, copy, modify, and/or distribute this software for any
# purpose with or without fee is hereby granted, provided that the above
# copyright notice and this permission notice appear in all copies.
#
# THE SOFTWARE IS PROVIDED "AS IS"... |
class Calculator:
def __init__(self):
self.result = 0
def add(self, num):
self.result += num
return self.result
cal1 = Calculator()
cal2 = Calculator()
print(cal1.add(3))
print(cal1.add(4))
print(cal2.add(3))
print(cal2.add(7))
class FourCal:
pass
a=FourCal(... |
import numpy as np
import pandas as pd
def mbe(observe:pd.DataFrame, predict:pd.DataFrame) -> pd.DataFrame:
"""Mean bias error of predicted data.
Calculates mean bias error as sum(predict - observe)/(total entries).
Parameters
----------
observe : pandas.DataFrame
Observed va... |
"""
linked list ADT, a simple one, demonstrate the add
"""
class _Node:
__slots__ = '_element', '_next'
def __init__(self, element, next):
self._element = element
self._next = next
class SinglyLinkedList:
"""singly linked list, no dummy head"""
def __init__(self):
se... |
import base64
import re
import graphene
from graphene_django.registry import get_global_registry
from graphql_relay import from_global_id
registry = get_global_registry()
INT_PATTERN = r"^\d+$"
def get_id_from_base64_encoded_string(value):
if isinstance(value, int):
return value
if re.match(INT_PAT... |
#!/usr/bin/python
import scipy.io.wavfile as wavfile
import numpy
#from scipy import signal
#import matplotlib.pyplot as mplot
import pydemod.modulation.phase as phasemod
import pydemod.coding.manchester as manchester
import pydemod.coding.polynomial as poly
import pydemod.app.amss as amss
import sys
# symbolLengt... |
import torch
import time
import numpy as np
import logger
import get_data_greedy
import encoder_greedy
import arg_parser
import model_utils
def load_model_and_optimizer(opt, num_GPU=None):
resnet = encoder_greedy.FullModel(opt)
optimizer=[]
for idx, layer in enumerate(resnet.encoder):
... |
try:
import cPickle as pickle
except:
import pickle
import six, os, sys, csv, time, \
random, os.path as osp, \
subprocess, json, \
numpy as np, pandas as pd, \
glob, re, networkx as nx, \
h5py, yaml, copy, multiprocessing as mp, \
pandas as pd, yaml, collections, \
loggin... |
"""
Created on Wed Sep 18 16:47:06 2019
@author: Kanthasamy Chelliah
The function wavogram(wavFile) provides spectrogram for any wav file (mono).
Simple usage: wavogram(wavFile)
Optional arguments:
str: pltTitle => send any string to be used as the plot title.
bool: masked => set to false if full data needs to ... |
# MNIST数据集：http://yann.lecun.com/exdb/mnist/
from tensorflow.examples.tutorials.mnist import input_data
# 加载数据集
mnist = input_data.read_data_sets('e:/soft/MNIST_DATA', one_hot=True)
# 加载训练集样本
train_x = mnist.train.images
# 加载验证集样本
validation_x = mnist.validation.images
# 加载测试集样本
test_x = mnist.test.images
# 加载训练集标签
t... |
import importlib
import inspect
import json
import re
import shutil
import sys
import traceback
from os import path
from getgauge import logger
from getgauge.registry import registry
from getgauge.util import *
project_root = get_project_root()
impl_dirs = get_step_impl_dirs()
env_dir = os.path.join(project_root, 'en... |
# -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2016-04-03 18:36
from __future__ import unicode_literals
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
('pharmacies', '0003_drugs_recommended_price'),
]
operation... |
u"""Import utils functions."""
from __future__ import absolute_import
from .utils import pairwise, unzip, admissible_filter, sanity_check
from .bnode import Bnode
from .drawbkps import draw_bkps
|
from rest_framework import serializers
from .models import Bucketlist
from .models import Teste
from .models import Cliente, Notificacao, Promocao, Categoria, Prestador, Servico
class BucketlistSerializer(serializers.ModelSerializer):
"""Serializer to map the Model instance into JSON format."""
class Meta:
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import state
def cmd_help(msg):
"""
Help message for IrcBot
@param msg unused, only for consistency with other commands
"""
help_msg =\
"""
IrcBot
Implemented commands: help SHUTDOWN word-count karma calc
"""
return state.do... |
import numpy as np
import tensorflow as tf
from Agent.networks import *
np.random.seed(1)
tf.set_random_seed(1)
class PolicyGradient:
def __init__(
self,
n_actions,
learning_rate=0.02,
reward_decay=0.95,
):
self.n_actions = n_actions
self.lr = ... |
def add_simple_uvs():
'''Add cube map uvs on mesh
'''
pass
def add_texture_paint_slot(type='DIFFUSE_COLOR',
name="Untitled",
width=1024,
height=1024,
color=(0.0, 0.0, 0.0, 1.0),
... |
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