text stringlengths 38 1.54M |
|---|
list1=[[2,44],3,1,5,8]
list2=[]
def get_max(list1):
for i in list1:
if type(i)==list:
get_max(i)
else:
list2.append(i)
return max(list2)
print(get_max(list1)) |
import numpy as np
import time
from scipy import linalg
from scipy.special import logsumexp
def gausscov(X, resp, nk, mean, regcovar):
n_com, n_fe = mean.shape
cov = np.empty((n_com, n_fe, n_fe))
for k in range(n_com):
diff = X - mean[k]
cov[k] = np.dot(resp[ : , k] * diff.T, diff) / nk[k]
cov[k].flat[ : : n_... |
import uuid
import json
from dot_base import base_data
class Dot():
"""A dot."""
def __init__(self, did=None):
self.database_location = "data/characters.json"
if did:
self.did = did
self.data = self.load()
else:
self.did = uuid.uuid4().hex
d... |
########## Essential for script
import sys,os
sys.path.insert(0,os.path.abspath("/srv/tigerapps"))
import settings
from django.core.management import setup_environ
setup_environ(settings)
###########
from card.models import Member, Club
club = Club.objects.get(name=sys.argv[1])
f = open(sys.argv[2])
for line in f:
... |
def main():
S = input()
y, m, d = map(int, S.split('/', 2))
if y < 2019:
print('Heisei')
elif y > 2019:
print('TBD')
else: # 2019
if m < 4:
print('Heisei')
elif m > 4:
print('TBD')
else: # 2019/04
if d <= 30:
... |
a = 0
b = 1
c = 0
while b != 0:
b = int(input())
if a < b:
a = b
c = 1
elif a == b:
c += 1
print(c) |
import numpy as np
import os
import matplotlib.pyplot as plt
import librosa
import soundfile as sf
from pydub import AudioSegment
import librosa.display
# rate, data = wf.read('clairvoyant.wav')
def main():
orig_filepath = "music/the_story_so_far/The Story So Far 'Small Talk'-LHIVOa-9AgE.wav"
sides_subtract... |
import numpy as np
import matplotlib.pyplot as plt
def gather_pdos_data(data_name):
"""Gathers PDOS data and stores each row in dictionary, returns dic"""
data = np.genfromtxt(data_name, unpack=True, comments="#", skip_header=1)
data_dic = {}
orbital = ["s", "p", "d", "f"]
for spalte in range(len(data)):
if sp... |
from pyrogram import Client, Filters, StopPropagation, InlineKeyboardButton, InlineKeyboardMarkup
@Client.on_message(Filters.command(["support"]), group=-2)
async def start(client, message):
# return
socialButton = InlineKeyboardMarkup([
[InlineKeyboardButton("Youtube", url="https://t.me/PapyProjects"... |
threeDigitNumber = input("Enter a three digit number: ")
sum = 0
for i in range(0, 3):
sum = sum + int(threeDigitNumber[i])
print(sum)
|
from .helper import parse_file
def enrich_features_from_csv(corpus_context, path):
"""
Enriches corpus from a csv file
Parameters
----------
corpus_context: :class:`~polyglotdb.corpus.CorpusContext`
the corpus being enriched
path : str
the path to the csv file
"""
data... |
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:////home/check_user/envs/prueba.db'
db = SQLAlchemy(app)
class Datos(db.Model):
id = db.Column(db.Integer, primary_key=True)
consumoCpu = db.Column(db.String(80), nullable=Fal... |
from django import forms
from models import Person
class PersonForm(forms.ModelForm):
class Meta:
model = Person
exclude = ["person_id"]
|
import math
base = [2,3,4,5,6,7,8,9,10]
def is_prime_c(n):
if n % 2 == 0 and n > 2:
return False
for i in range(3, 100 + 1, 2):
if n % i == 0:
return False
return True
def check_prime_through_bases(x):
for b in base:
if is_prime_c(int(str(x),b)):
... |
# This sample code uses the Appium python client
# pip install Appium-Python-Client
# Then you can paste this into a file and simply run with Python
from appium import webdriver
caps = {}
caps["platformName"] = "android"
caps["deviceName"] = "hogwarts"
caps["appPackage"] = "com.xueqiu.android"
caps["appActivity"] = "... |
#!/usr/bin/env python
# coding=utf-8
import sys
import os
import time
import version
bin_version_file_dir= 'user/version.h'
product_modle = []
def main():
global product_moudle
bin_description = ''
if len(sys.argv) == 2:
single_moudle = [sys.argv[1]]
product_moudle = single_moudle
if len(sys.argv) == 3:
s... |
# -*- coding: utf-8 -*-
"""
Description :
Author : xxm
"""
from torchmeta.datasets import MiniImagenet
from torchmeta.transforms import Categorical, ClassSplitter, Rotation
from torchvision.transforms import Compose, Resize, ToTensor
from torchmeta.utils.data import BatchMetaDataLoader
dataset = MiniImag... |
#!/u/ki/mbaumer/anaconda/bin/python
import matplotlib.pyplot as plt
from astropy.io import fits
import treecorr
import yaml
import numpy as np
import datasets
import time
import tricorder
import yaml
import sys
import os
import paths
from simple_script import out_path, config_dir
def load_config(config_fname):
c... |
print('Bank Management System')
b=[]
c='y'
while(c=='y'):
name=input('Enter customer name: ')
accno=str(input('Enter the account number: '))
amount=int(input('Enter the amount you have: '))
b.append((accno,(name,amount)))
c=input('do u want to enter details? '... |
# Copyright 2022, Google LLC.
#
# 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... |
from car import Car
from account import Account
if __name__ == "__main__":
print("Hola Mundo")
car = Car("AMS234", Account("Andres Herrera", "ANDA876"))
print(vars(car))
print(vars(car.driver))
|
#!/usr/env/bin python
"""
Newsreader - Main
Copyright (c) 2018 Trevor Bramwell <trevor@bramwell.net>
SPDX-License-Identifier: Apache-2.0
"""
from string import digits
from datetime import timedelta, date
from configparser import SafeConfigParser
from os.path import expanduser
import logging
import urwid
from urwid im... |
#!/usr/bin/env python
#coding:utf-8
# Author: LPP --<lpp1985@hotmail.com>
# Purpose: Trans 454 to fastq
# Created: 2011/8/8
from lpp import *
from optparse import OptionParser
usage = '''usage: python %prog [options]
It can automaticly transfer 454 to fastq!!'''
parser = OptionParser(usage =usage )
parser.add_opt... |
import numpy as np
def check_is_binary(array):
"""Checker if array consists of int or float binary values 0 (0.) and 1 (1.)
Args:
array (1d array-like): Array to check.
"""
if not np.all(np.unique(array) == np.array([0, 1])):
raise ValueError(f"Input array is not binary. "
... |
#!/usr/bin/env python
# coding=utf-8
from boa.compiler import Compiler
# bytes = Compiler.load_and_save('./file.py')
# bytes = Compiler.load_and_save('./Hello.py')
# bytes = Compiler.load_and_save('./Domainpy2.py')
# bytes = Compiler.load_and_save('./print.py')
# bytes = Compiler.load_and_save('./base.py')
# bytes =... |
import pprint
def putInfoToDict(fileName):
fileName1 = open(fileName,'r').readlines()
stu = []
stu_map = {}
for i in fileName1:
stu.append(i.replace(' ','').replace('\t','').replace("'",'').replace(';','').replace('\n',''))
for one in stu:
if one == '':
break
name... |
"""
This file contains the function required to "fry" the image.
This is not a required part of the final project, and may not be included.
However, out of the inteset of jokes, this can be used to "deep fry" images and memes
dependancies:
Pillow (PIL)
"""
from PIL import Image, ImageEnhance
def image_fryer(path: ... |
from gpiozero import LED
from time import sleep
pump = LED(17)
print("Turning pump ON!")
pump.on()
sleep(1)
print("Turning pump OFF!\n\n Thank you!\n")
print("Thank fren!")
|
import os
from datetime import datetime, timedelta
from typing import Optional
import jwt
from fastapi import Depends, HTTPException, Security, status
from fastapi.openapi.models import OAuthFlows as OAuthFlowsModel
from fastapi.security import OAuth2, SecurityScopes
from fastapi.security.utils import get_authorizatio... |
from turtle import*
import random
speed(speed= 'fastest')
def draw(n,x,angle):
#%23 loof for number of stars
for i in range(n):
colormode(255)
# %23 choosing random integer
# %23 between 0 to 255
# %23 to generate random rgb values
a= random.randint(0, 255)
... |
import string
def is_pangram(s):
for let in string.ascii_lowercase:
if not let in s.lower():
return False
return True
print(is_pangram("The quick, brown fox jumps over the lazy dog!")) |
from django.contrib import admin
from user.models import User
class UsersAdmin(admin.ModelAdmin):
list_display = ['id', 'username', 'email']
# 用户账号的配置
# Register your models here.
admin.site.register(User, UsersAdmin)
|
from coders.vae_coding import fc_mnist_encoder, fc_mnist_decoder
import tensorflow as tf
import numpy as np
from plots.grid_plots import show_samples, show_latent_scatter
from tensorflow.examples.tutorials.mnist import input_data
from tqdm import tqdm
from models.vae import VAE
"""
This simple implementation is heavil... |
# Generated by Django 2.1.2 on 2020-01-03 15:30
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('pages', '0005_auto_20200103_1519'),
]
operations = [
migrations.AddField(
model_name='apartment',
name='image1',
... |
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
#
# Name: ABE65100 Lab01 Exercise 3.2
#
# Purpose: Script to use the function do_twice to call print_twice twice
# and passing 'spam' as an argument
#
# Author: Tao Huang (huan1441)
#
# Created: Jan 17, 2020
#
# - - - - - ... |
"""
Revision ID: 0375_doc_download_verify_email
Revises: 0374_email_branding_to_org
Create Date: 2020-09-13 28:17:17.110495
"""
import sqlalchemy as sa
from alembic import op
revision = "0375_doc_download_verify_email"
down_revision = "0374_email_branding_to_org"
def upgrade():
op.execute("INSERT INTO service_... |
#-*- coding:utf-8 -*-
"""
> I-VDT algorithm for eye movement events detection.
> author: Mike Zheng
> 08, May, 2021
> Reference:
Komogortsev, Oleg V. and Alex Karpov (2013). “Automated classification
and scoring of smooth pursuit eye movements in the presence of fixations
and s... |
from config import PROVIDER_CONFIG
from concurrent_log_handler import ConcurrentRotatingFileHandler
import logging
LOGGING_CFG_KEY = 'logging'
LOG_FOLDER_CFG_KEY = 'logFolder'
ROTATING_PERIOD_TYPE_CFG_KEY = 'rotatingPeriodType'
ROTATING_PERIOD_VALUE_CFG_KEY = 'rotatingPeriodValue'
LOG_FOLDER = PROVIDER_CONFIG[LOGGIN... |
from heapq import *
class Solution:
def kthSmallest(self, matrix: List[List[int]], k: int) -> int:
minHeap = []
res = []
for elem in matrix:
heappush(minHeap, elem)
while minHeap and len(res) < k:
popped = heappop(minHeap)
res.append(popped[0])
... |
import redis
class CacheHandler:
def __init__(self):
self.connection = redis.Redis(host='0.0.0.0', port=6379, db=0, password='6r!7n3y0')
def get_info(self, token_name):
cached_token = None
try:
cached_token = self.connection.get(name=token_name)
except Exception:
... |
import random
import string
def u_letters(upp_letters):
"""
:param upp_letters:
:return: a list of random uppercase letters
"""
return list("".join([random.choice(string.ascii_uppercase) for _ in range(upp_letters)]))
def l_letters(low_letters):
"""
:param low_letters:
:return: a l... |
#!/usr/bin/env python
"""
setup.py file for afnumpy
"""
from distutils.core import setup
from afnumpy import __version__
setup (name = 'afnumpy',
version = __version__,
author = "Filipe Maia",
author_email = "filipe.c.maia@gmail.com",
url = 'https://github.com/FilipeMaia/afnumpy',
... |
#xox game functions
def display_board(gameBoard):
#printing game board
print " {} | {} | {} ".format(gameBoard[6],gameBoard[7],gameBoard[8])
print "-----------"
print " {} | {} | {} ".format(gameBoard[3],gameBoard[4],gameBoard[5])
print "-----------"
print " {} | {} | {} ".format(gameBoard[0],gameBoard[1],gameB... |
import sqlite3
import pandas as pd
conn = sqlite3.connect( "data-10.sqlite" )
c = conn.cursor()
def replacePlayer(name, season,team):
itr = c.execute('''select g.player_name, round(avg(g.eff),3), round(avg(s.salary),1)
from games g join salaries s on (g.player_name = s.player and g.season = s.season_sta... |
from kivy.lang import Builder
from kivy.uix.screenmanager import Screen
Builder.load_file('medication_entry.kv')
class MedicationEntryScreen(Screen):
def print_number(self):
pass
|
# -*- coding: utf-8 -*-
# @Time : 2018/1/9 15:52
# @Author : ddvv
# @Site : https://www.bangcle.com/
# @File : douyin1Spider.py
# @Software: PyCharm
import scrapy
from appspider.spiders.douyinspider.douyincore import *
from appspider.commonapis import *
'''
app: 抖音短视频
备注：爬取首页-推荐接口的数据
'''
CONST_INFO = {
... |
import argparse
import aws_comprehend as ac
import json
import os
import qa_engine as qa
import slackclient
import time
import urllib.request
INSTANCE_ID = urllib.request.urlopen('http://169.254.169.254/latest/meta-data/instance-id').read().decode()
AVAILABILITY_ZONE = urllib.request.urlopen('http://169.254.169.254/l... |
from django.contrib.auth import authenticate, login, logout
from django.shortcuts import render, redirect
from django.urls import reverse_lazy, reverse
from django.http import JsonResponse
from django.views.generic import *
from .forms import *
from .models import *
class LoginView(FormView):
template_name = "sta... |
from django.contrib.auth.signals import user_logged_in, user_logged_out
from django.contrib.messages import success
from django.dispatch import receiver
@receiver(user_logged_in)
def display_login_message(sender, **kwargs):
request = kwargs.get('request')
user = kwargs.get('user')
success(
request,... |
# coding = utf-8
__author__ = 'Zhou Shengshuai'
__version__ = '1.0'
import logging
import os
from time import sleep
from selenium import webdriver
from selenium.common.exceptions import WebDriverException, TimeoutException
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_co... |
#
# file: convnet.py
# author: MING Yao
#
import os
import numpy as np
import tensorflow as tf
from convnet.utils.io_utils import before_save, get_path
from convnet.core.preprocess import DataGenerator, ImageDataGenerator
from convnet.core.sequential_net import SequentialNet, Layer
from convnet.core.config import da... |
from datetime import datetime
from apscheduler.schedulers.background import BackgroundScheduler
from stock.pipeline import pipeline
def job():
print("\n job",datetime.now())
pipeline()
def start():
print("apscheduler start..")
scheduler = BackgroundScheduler()
scheduler.add_job(job, 'interval', se... |
"""
Axes.py --
This file implements the axes class.
Date of creation: 2006... |
import zipreport.report.job as j
import zipreport.report.const as const
class TestReportJob:
def test_init(self):
# fake job
job = j.ReportJob(None)
opts = job.get_options()
assert type(opts) is dict
assert len(opts) == len(j.ReportJob.DEFAULT_OPTIONS)
# test vali... |
import numpy as np
import pandas as pd
from sklearn.model_selection import KFold
from sklearn.model_selection import cross_val_score
import sklearn.metrics as mt
from sklearn.neighbors import KNeighborsClassifier
from sklearn.preprocessing import scale
def Calculate(X, y):
best_score = 0.0
best_k = 0
gen =... |
# Generated by Django 3.1.2 on 2020-11-27 10:12
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('application', '0003_auto_20201115_1239'),
]
operations = [
migrations.AddField(
model_name='donation',
name='is_take... |
import asyncio
import functools
import sys
from typing import (
Any,
AsyncIterator,
Awaitable,
Callable,
Coroutine,
Dict,
List,
Set,
TypeVar,
cast,
)
from async_generator import asynccontextmanager
from trio import MultiError
from async_service._utils import iter_dag
from .abc... |
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 21 01:09:42 2020
@author: dennis
"""
import numpy as np
import math
class Image:
def __init__(self, img, id_):
self.id = id_
self.img = img
self.neighbours = set()
self.cunstruct_all_versions()
def cunstruct_all_versions(sel... |
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D # noqa: F401 unused import
from numpy.testing import assert_almost_equal
from acrolib.geometry import pose_x
from acrobotics.robot_examples import (
PlanarArm,
SphericalArm,
AnthropomorphicArm,
Arm2,
Kuka,
... |
"""Lambda Function Source Code
Adheres to Smart Home Skill V3 API
Responds to discovery and control requests
"""
# Import AWS SDK and set up client
import uuid
import time
import boto3
import json
client = boto3.client('iot')
client_data = boto3.client('iot-data')
# Main Lambda handler
# First function invoked when... |
# 정수 배열이 주어졌을 때, 부분 배열(sub-array)의 합이 0이 될 수 있는지 확인하시오.
# 부분 배열은 배열 내의 연속된 원소들의 집합입니다.
def solution(arr):
answer = []
length = len(arr)
for i in range(length):
temp = i
for j in range(length - i):
if sum(arr[j:temp + j + 1]) == 0:
answer.append(arr[j:temp + ... |
import RPi.GPIO as GPIO
import time
import cv2
import numpy as np
global lxy_BZ
lxy_BZ=0
def L_BUTTON(event,x,y,flags,param):
# 判断事件是否为 Left Button Double Clicck
if event == cv2.EVENT_LBUTTONDOWN:
if x>280 and x<360 and y>88 and y<140:
canvas=cv2.imread("JS.jpg")
cv2.putText(... |
class Node:
def __init__(self):
# is_word表示这个结点是否为一个单词的结尾
# next[]表示这个结点的下一个26个字母结点
self.is_word = False
self.next = [None] * 26
class Trie:
def __init__(self):
"""
Initialize your data structure here.
"""
self.root = Node()
def insert(self... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Apr 26 16:22:55 2018
@author: macbook
"""
import numpy as np
from sklearn.metrics import confusion_matrix
import glob
import pandas as pd
from imageio import imread
#1.1 Mittelwert der Kanäle
train_files = glob.glob('./haribo1/hariboTrain/*.png')
tra... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# @Time : 2019/7/16 10:47
# @Author : journal
# @File : Note_3_4_impl.py
# @Software: PyCharm
import tensorflow as tf
# 定义输入、参数、向前传播过程
def practice_1_param():
# 定义输入
x = tf.constant([[0.7, 0.5]])
# 定义参数
w1 = tf.Variable(tf.random_normal(shape=[2, 3], m... |
from django.shortcuts import render
from .models import Products, Order
from django.core.paginator import Paginator
# Create your views here.
def index(request):
product_objects = Products.objects.all()
# search code
item_name = request.GET.get("item_name")
if item_name != '' and item_name is not N... |
import socket
import cache
default_redirects = 4
# where header is a dictionary of HTTP field name: value pairs
def httpheader(header: dict) -> str:
return "\r\n".join(map(lambda x: f"{x[0]}: {x[1]}", header.items())) + "\r\n"
def request(url: str, redirects: int = default_redirects):
assert redirects >= 0, f"Er... |
def cheese_and_crackers(cheese_count, boxes_of_crackers): #function definition
print(f"You have {cheese_count} cheeses!")
print(f"You have {boxes_of_crackers} boxes of crackers!")
print("Man thats enough for a party!")
print("Get a blanket.\n")
def cnc(a,b):
c = a+b
print("Sum :",c)
print("We can just... |
from django.shortcuts import render
# Create your views here.
from rest_framework import mixins, viewsets
from rest_framework.permissions import AllowAny, IsAuthenticated
from rest_framework.response import Response
from rest_framework.views import APIView
from rest_framework_jwt.authentication import JSONWebTokenAuth... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
class AlipayInsAutoBenefitUseResponse(AlipayResponse):
def __init__(self):
super(AlipayInsAutoBenefitUseResponse, self).__init__()
self._use_flow_id = None
@property
... |
# -*- coding:utf-8 -*-
import logging
from tornado.ioloop import IOLoop
from tornado.web import Application
from tornado import options
from TemplateTornado.utils.util import parse_cfg
from TemplateTornado.basedb.customsqlalchemy import CustomSqlalchemy
__author__ = "lqs"
# Get the config file from command line.
opt... |
# Univariate multi-step output Encoder-Decoder LSTM
from numpy import array
from keras.models import Sequential
from keras.layers import LSTM, Dense, RepeatVector, TimeDistributed
# Split a univariate sequence into samples
def split_sequence(sequence, n_steps_in, n_steps_out):
X, y = [], []
for i in range(len(... |
# -*- coding: utf-8 -*-
from collections.abc import Iterable
def conv_output_shape(hw, kernel_size=1, stride=1, pad=0, dilation=1):
"""Computes output shape of 2D conv operation."""
if not isinstance(hw, Iterable):
assert isinstance(hw, int)
hw = (hw, hw)
else:
assert len(hw) == 2... |
#!/usr/bin/env python
# coding: utf-8
# IMPORTANDO LIBRERIAS
#####################################################################################################################
import numpy as np
import pygame
import gtk
import cv2
# CLASE UTILIZADA PARA CREAR UN BOTON
class Button:
"""
Clase de botón ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
""":Mod: lock
:Synopsis:
Create a simple file-based mutex lock.
:Author:
servilla
:Created:
3/31/17
"""
import os
import random
import string
import daiquiri
logger = daiquiri.getLogger('lock.py: ' + __name__)
class Lock(object):
def __init__(self,... |
from tensorflow.keras import Model, Sequential, layers
class Generator(Model):
def __init__(self):
# hidden dims = 100
super(Generator, self).__init__()
self.model = Sequential()
self.model.add(layers.Dense(7*7*256, use_bias=False, input_shape=(100,)))
self.model.add(layer... |
from django.contrib import admin
from krishiKarma.models import State,Crop,District,Farmer,Category,Soil
# Register your models here.
admin.site.register(State)
admin.site.register(District)
admin.site.register(Crop)
admin.site.register(Farmer)
admin.site.register(Category)
admin.site.register(Soil) |
#Algorithme tp2
#Exo 1
class Point:
"""Classe definissant un point par:
- x
- y
- z"""
def __init__(self):
self.x=4.0
self.y=1.0
self.z=2.5
|
import board,busio,digitalio,time
#led = digitalio.DigitalInOut(board.D13)
#led.direction = digitalio.Direction.OUTPUT
uart = busio.UART(board.TX, board.RX, baudrate=9600)
while True:
data = uart.readline()
print(data)
time.sleep(.2)
|
import random
def hladaj(lst,x):
for i in range(len(lst)):
if lst[i]==x:
return i
return -1
lst = []
for i in range(10):
lst.append(random.randint(1,10))
print(lst)
x = int(input('Zadaj x: '))
print(hladaj(lst,x))
|
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import glob
import numpy as np
import tensorflow as tf
import download_and_make_tfrecords as dl
class Cifar10Input:
def __init__(self):
dl.maybe_download_cifar()
self.HEIGHT = 32
se... |
from PyQt5 import QtCore, QtGui, QtWidgets
import controller.tab3_controller.commands as commands
import controller.tab3_controller.commands.ResetUI as reset_ui
import controller.tab3_controller.commands.track as track
import controller.tab3_controller.commands.speakout as speakout
import controller.Inspectors as insp... |
from flask import Response, jsonify, make_response
from loguru import logger
from ..errors import *
from ..main import app
@app.errorhandler(BaseAppException)
def app_error_handler(e: BaseAppException):
return make_response(jsonify(e.to_dict()), e.error_code)
@app.errorhandler(Exception)
def exception(e: Excep... |
#! /usr/local/bin/python2.7
# -*- coding: utf-8 -*-
#
# This software was developed by employees of the National Institute of
# Standards and Technology (NIST), and others.
# This software has been contributed to the public domain.
# Pursuant to title 15 Untied States Code Section 105, works of NIST
# employees are not... |
"""
Part 3: Here you should improve viterbi to use better laplace smoothing for unseen words
This should do better than baseline and your first implementation of viterbi, especially on unseen words
"""
import math
def viterbi_2(train, test):
'''
input: training data (list of sentences, with tags on the word... |
import sys
import hashlib
f= open(str(sys.argv[2]))
with open(str(sys.argv[2])) as file:
blah = f.read()
md5result = hashlib.md5(blah.encode())
sha1result = hashlib.sha1(blah.encode())
sha256result = hashlib.sha256(blah.encode())
print("MD5 is: ",md5result.hexdigest())
print("SHA1 is: ",sha1result.hexdig... |
from django import forms
from blog_app.models import Comment
class EmailSending_form(forms.Form):
name = forms.CharField()
From_Mail = forms.EmailField()
To_Mail = forms.EmailField()
Comment = forms.CharField(required= False,widget = forms.Textarea)
class CommentForm(forms.ModelForm):
class Meta:... |
# -*- coding: utf-8 -*-
import tensorflow as tf
import os
import random
import math
import sys
_NUM_TEST=200 #验证集数量
_RANDOM_SEED=0 #随机种子
_NUM_SHARDS=5 #数据块
DATASET_DIR="E:/Pycharm/Project/NNetword/Tensorflow/slim/images" #数据集路径
LABELS_FILENAME="E:/Pycharm/Project/NNetword/Tensorflow/slim/images/labels.txt"#标签路径
... |
# -------------------- Import libraries
import random as rnd
import matplotlib.pyplot as plt
import numpy as np
import pylab as pl
import matplotlib.ticker as mticker
from matplotlib.ticker import FormatStrFormatter
from trafficsim import*
# -------------------- Calculation
# iteration for positions vs time, nCars =... |
#-*- coding:utf-8 -*-
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# %matplotlib inline
# from IPython import get_ipython
# get_ipython().run_line_magic('matplotlib', 'inline')
#正常显示画图时出现的中文和负号
from pylab import mpl
mpl.rcParams['font.sans-serif']=['SimHei']
mpl.rcParams['axes.unicode_m... |
class Solution:
def findInversions(self,arr,count):
if len(arr) == 1:
return
mid = len(arr) // 2
left = arr[:mid]
right = arr[mid:]
self.findInversions(left,count)
self.findInversions(right,count)
i... |
import cv2, dessinMagique, utils
#######
## Parametres a saisir par l'utilisateur
#######
nomImage = 'caillou.png'
nombreDeCouleur = 6
aireZoneMax =100
largeurZoneMax = 2
rayonDisqueCouleur = 4
#######
## Fin parametre a saisir par l'utilisateur
#######
img = cv2.imread('Images/' + nomImage)
utils.displayImage(img,... |
import requests
from lxml import html
STUDENTID = "11988401"
PASSWORD = "code2@learn"
LOGIN_URL = "https://sso.lib.uts.edu.au/cas/login?service=https%3A%2F%2Fwww.lib.uts.edu.au%2Froombooking%2F%3F_casCheck%3Dtrue"
BOOKING_URL = "https://www.lib.uts.edu.au/roombooking/bookings/create"
URL = [
'https://www... |
def tabulate(data, headers=None, key_order=None):
if isinstance(data[0], list):
tabulate_lists(data, headers=headers)
elif isinstance(data[0], dict):
tabulate_dicts(data, headers=headers, key_order=key_order)
else:
assert False, 'First record in data of unexpected type: {}'.format(ty... |
import dash_html_components as html
def blank_link(string, href):
return html.A(string, href=href, target="_blank")
"""-------------------------------LINKS--------------------------------------"""
# INDEX
build_logo_src = "https://image.flaticon.com/icons/svg/346/346195.svg"
vis_logo_src = "https://image.flaticon... |
from torch import nn
from torch.nn import functional as F
import torch
from torchvision import models
import torchvision
class NAS_Unet(nn.Module):
def __init__(self):
pass
def forward(self, input):
pass |
n= 5
def func_greater(n):
repr = bin(n)[2:]
length = len(repr)
#next greater with same bits is -> if gap bw leftmost and right nearest then +1.
if 2**(length) - 1 == n:
return (int(repr[0] + "0" + repr[1:],2))
right_first = None;
for i in range(length-1,0,-1):
if repr[i] == "1":
right_first = ... |
from tortoise import BaseDBAsyncClient
async def upgrade(db: BaseDBAsyncClient) -> str:
return """
ALTER TABLE `asynctournamentpermalink` ADD `par_updated_at` DATETIME(6);
ALTER TABLE `asynctournamentpermalink` ADD `par_time` DOUBLE;
ALTER TABLE `asynctournamentrace` ADD `score_updated_at`... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
File: join2_reducer.py
Description: Reducer function.
"""
import sys
prev_tv_show = ""
flag = False
curr_tot_count = 0
for line in sys.stdin:
line = line.strip()
curr_tv_show, value = line.split('\t')
if curr_tv_show != prev_tv_show:
if flag:
... |
import csv
import math
BIG_A = []
BIG_B = []
match = []
BIG_A_DIR="BIG_A.csv"
BIG_B_DIR="BIG_B.csv"
#define leagal year range
BEGIN_YEAR=1800
END_YEAR=2017
def load_table_A(table_A_dir):
#load data from table A
with open(table_A_dir, 'rb') as A:
spamreader1 = csv.reader(A, delimiter=',', quotechar='|... |
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