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#!/usr/bin/python2.7
"""
Driver FIle to start execution
"""
################################
####### Driver file to #########
####### start execution ########
###### Author : Pavel Sur ######
################################
import sys,os
sys.path.append(os.path.join(os.path.abspath(os.path.dirname(__file__))... |
"""
Module MontyLingua
MONTY LINGUA - An end-to-end natural language processor
for English, for the Python/Java platform
Author: Hugo Liu <hugo@media.mit.edu>
Project Page: <http://web.media.mit.edu/~hugo/montylingua>
Copyright (c) 2002-2004 by Hugo Liu, MIT Media Lab
All rights reserved.
N... |
filename=input(("enter the filenme"))
extension=filename.split('.')
print("extension",extension[-1]) |
import numpy as np
from matplotlib import pyplot as plt
import seaborn as sns
def adjust_spines(ax, spines, offset=3, smart_bounds=False):
for loc, spine in ax.spines.items():
if loc in spines:
spine.set_position(('outward', offset))
spine.set_smart_bounds(smart_bounds)
el... |
import socket
"""
******功能描述说明******
1.获取键盘数据，并将其发送给对方
2.接收数据并显示
"""
def send_msg(udp_socket):
"""发送信息"""
msg = input("\n请输入您要发送的信息：")
dest_ip = input("\n请输入您要发送的ip:")
dest_port = int(input("\n请输入对方的端口号："))
# 发送数据到指定的电脑上的指定程序中,需要编码为bytes类型的数据进行发送
udp_socket.sendto(msg.encode("utf-8"), (dest_i... |
from django.contrib import admin
class ConsumerAdmin(admin.ModelAdmin):
fields = ('name', 'key', 'secret', 'status')
readonly_fields = ('key', 'secret')
def save_model(self, request, obj, form, change):
obj.status = 'accepted'
if change is False:
obj.generate_random_codes()
... |
'''
Write a program that randomly chooses and displays four digits, each from one to nine, with repetitions allowed.
The program should prompt for the player to enter an arithmetic expression using just those, and all of those four digits, used exactly once each.
The program should check then evaluate the expression.... |
from interface import Qubit, QuantumDevice
import numpy as np
import qutip as qt
from qutip.qip.operations import hadamard_transform
from typing import List
class SimulatedQubit(Qubit):
qubit_id: int
parent: "Simulator"
def __init__(self, parent_simulator: "Simulator", id: int):
self.qubit_id = ... |
# -*- coding: utf-8 -*-
from typing import List
class Solution:
def numberOfBeams(self, bank: List[str]) -> int:
last_lasers, result = 0, 0
for row in bank:
current_lasers = row.count("1")
if current_lasers and last_lasers:
result += current_lasers * last_l... |
from datetime import datetime,timedelta,timezone
import ast
import pytz
import json
from user_input.models import UserDailyInput
from quicklook.serializers import UserQuickLookSerializer
from django.db.models import Q
from collections import OrderedDict
import quicklook.calculations.garmin_calculation
from quicklook.... |
# -*- python -*-
class Patient(object):
def __init__( self, id, name, allergies ):
self.id = id
self.name = name
self.allergies = allergies
self.bed_number = None
def __repr__( self ):
return(
"{" +
" " + "type:" + " " + "Patient" +
"... |
"""Change polling model
Revision ID: 20c45fff9ccb
Revises: 1efa9375e67b
Create Date: 2020-07-05 16:12:47.521137
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = '20c45fff9ccb'
down_revision = '1efa9375e67b'
branch_labels... |
from re import sub
from rest_framework import serializers
from django.urls import reverse
from django.utils.html import strip_tags
from django.contrib.auth.models import User
from .models import Post
class UserSerializer(serializers.ModelSerializer):
class Meta:
model = User
fields = ('first_name',... |
"""Plot data from table of pressures and fluxes from proplyd arc fits
"""
from astropy.table import Table
from matplotlib import pyplot as plt
import json
import numpy as np
import seaborn as sns
AU = 1.49597870691e13
PC = 3.085677582e18
d_Orion = 440.0
k_Boltzmann = 1.3806503e-16
cos80 = 0.173648177667
tab = Table.r... |
# -*-coding:utf-8-*-
import time
import numpy as np
from gensim.models.doc2vec import Doc2Vec
from sklearn.externals import joblib
import labsql
class SvmInfer:
def __init__(self):
self.test_set = {}
self.clf = joblib.load("./svm_models/train_model.m")
self.conn = labsql.LabSQL('172.168.... |
from .views import CoffeeShopViewSet, NewsletterViewSet, BookViewSet,CoffeeShopBooksViewSet
from rest_framework import routers
from django.urls import path, include
app_name = 'api-coffee-shops'
router = routers.DefaultRouter()
router.register(r'coffee_shops', CoffeeShopViewSet)
router.register(r'coffee_shops/(?P<id>\... |
import numpy as np
small = 1e-6
def createFAST_EllipticWingBlade(span, nNodes):
dx = span/(nNodes-1.0)
x = np.arange(0,span+small, dx) - span*0.5
c = np.sqrt(1.0 - (2.0*x/span)**2)
c[0] = small
c[-1] = small
with open('EllipticWing_Aerodyn_Blade.dat','w') as f:
f.write('------- AERODY... |
def pericolo_minimo(mappa):
def conversion(mappa):
grafo = {nodo:[] for nodo in range(len(mappa) * len(mappa[0]))}
col_size = len(mappa)
row_size = len(mappa[0])
for col in range(len(mappa)):
for row in range(len(mappa[col])):
nodo = (row_size * row) + c... |
from backpack.core.derivatives.basederivatives import BaseDerivatives
class FlattenDerivatives(BaseDerivatives):
def hessian_is_zero(self):
return True
def ea_jac_t_mat_jac_prod(self, module, g_inp, g_out, mat):
return mat
def _jac_t_mat_prod(self, module, g_inp, g_out, mat):
ret... |
n=int(input('Enter:'))
a=0
b=1
if n==1:
print(a)
else:
print(a,end=' ')
print(b,end=' ')
for i in range(n-2):
c=a+b
a=b
b=c
print(c,end=' ') |
"""
- module that houses an object of type uPub
"""
class uPub_data(object):
"""docstring for `uPub_data`."""
def __init__(self, line):
import hashlib
"""assigns values to the object.
INPUT: MD file containing all data; path to image
"""
self.title = None # title of the microPublication
self.path_... |
# 数据去均值后协方差矩阵不变,特征值与特征向量也不变
# 数据标准化后的协方差矩阵等于相关系数矩阵,等于原始数据的相关系数矩阵
#机器学习采用的是规范化后的协方差矩阵
# numpy.std() 求标准差的时候默认是除以 n 的，即是有偏的，np.std无偏样本标准差方式为 ddof = 1；
# pandas.std() 默认是除以n-1 的，即是无偏的，如果想和numpy.std() 一样有偏，需要加上参数ddof=0 ，即pandas.std(ddof=0)
#用规范化的数据进行奇异值分解和特征分解,奇异值s的平方等于特征值,特征向量均相同,即<1><2><3>的特征向量相同,
# 但<1><2>的特征值是<3>的m... |
"""Tests for wait_for_travis"""
import pytest
from constants import (
NO_PR_BUILD,
TRAVIS_FAILURE,
TRAVIS_PENDING,
TRAVIS_SUCCESS,
)
from wait_for_travis import wait_for_travis
pytestmark = pytest.mark.asyncio
@pytest.mark.parametrize("statuses,result", [
[[NO_PR_BUILD, NO_PR_BUILD], NO_PR_BUIL... |
a={'tel':25,'hin':36,'eng':15}
k=input("enter sub:")
if k in a:
print("present, value = ",a[k])
else:
print("not found") |
def temp():
temp = float(input("Enter temperature:"))
units = input("In which units C or F?:")
if units == "c":
temp = ((9/5)*temp)+32
print("That's",temp,"F")
elif units == "F":
temp = (temp-32)*(5/9)
print("That's",tmp,"C")
else:
print("The unint should be w... |
import calendar
import math
import numpy as np
import threading
import re
import time
# input data from the manager to the engine: timestamp,duration,bitrate,width,height
def find_bitrate_stats(documents, method):
""" Calculate simple statistics for a collection of bitrates
Args:
documents: A MongoDB ... |
# -*- coding: utf-8 -*-
"""Unittests for models.
"""
__license__ = """
This file is part of Janitoo.
Janitoo is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
... |
# Copyright 2018 Davide Spadini
#
# 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... |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'Pass.ui'
#
# Created by: PyQt5 UI code generator 5.14.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_Pass_Window(object):
def setupUi(self, Pass_Window):
... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('relationships', '0009_auto_20150717_2035'),
]
operations = [
migrations.AddField(
model_name='offer',
... |
"""Form management utilities."""
import abc
import re
from collections import OrderedDict
from django.forms import TypedChoiceField
from django.forms.fields import Field
from django.forms.widgets import RadioSelect
from django.shortcuts import render
from django.utils.encoding import force_str
from django.utils.trans... |
from typing import List
from sqlalchemy import func, and_
from sqlalchemy.orm.exc import NoResultFound
from bitcoin_acks.constants import ReviewDecision
from bitcoin_acks.database import session_scope
from bitcoin_acks.github_data.graphql_queries import (
comments_graphql_query,
reviews_graphql_query
)
from b... |
import logging
from flask.blueprints import Blueprint
from waitlist.permissions import perm_manager
from flask_login import login_required, current_user
from waitlist.base import db
from waitlist.storage.database import Account, AccountNote
from flask.templating import render_template
import flask
from flask.globals im... |
# Copyright (c) Members of the EGEE Collaboration. 2004.
# See http://www.eu-egee.org/partners/ for details on the copyright
# holders.
#
# 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
#... |
from django.apps import AppConfig
class ArtworkConfig(AppConfig):
name = 'artuium_server.artwork'
|
import mysql.connector
import sys
db = mysql.connector.connect(host = "localhost",
user = "dbuser04",
passwd = "salasana",
db = "pizzaDB",
buffered = True)
cur = db.cursor()
#main function is a gam... |
from __future__ import print_function
import unittest
"""
Test the example deployer
"""
class TestDeployer(unittest.TestCase):
ENV = {}
ARGS = {}
METADATA = {}
def test_exit_0(self):
"""
Test the deployer exits 0
""" |
from settings import settings
from office365.runtime.auth.user_credential import UserCredential
from office365.sharepoint.client_context import ClientContext
credentials = UserCredential(settings['user_credentials']['username'],
settings['user_credentials']['password'])
ctx = ClientContex... |
from django import forms
from django.contrib.auth.forms import UserCreationForm
from django.db import transaction
from .models import User
class VisitorSignUpForm(UserCreationForm):
username = forms.CharField(required=True)
email = forms.EmailField(required=True)
class Meta(UserCreationForm.Meta):
... |
import numpy as np
# principal component analysis
from hylite.filter.mnf import plotMNF
from hylite import HyData
def PCA(hydata, output_bands=20, band_range=None, step=5):
"""
Apply a PCA dimensionality reduction to the hyperspectral dataset using singular vector decomposition (SVD).
*Arguments*:
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 19 19:49:18 2017
@author: ares
"""
import numpy as np
import helpers as hp
from scipy.stats import truncnorm
M = 40 # Size of Patch Array
timelength = 3000
stim = np.zeros([M,M,timelength])
for ind in range(timelength):
stim[:,:,ind] = hp.get... |
from sys import stdin
word = str(stdin.readline().strip())
if "ss" in word:
print("hiss")
else:
print("no hiss") |
# from datetime import datetime, date
# d = datetime.now()
# print(d)
# print(d.year, d.month, d.day, d.hour, d.minute, d.second)
if True:
print("true")
else:
print("false")
total = 'aaa' + \
'bbbbb' + \
'cccc'
print(total)
str='123456789'
print(len(str))
print(str[0])
print(str[0:-1])
print(str[... |
import enchant
dipper = "abcdefghijklmnopqrstuvwxyz"
d = enchant.Dict("en_US")
decrypted_msg = []
score = []
def get_keys(message):
for key in range(0, 27):
mabel = decrypt2(key)
zipping(message, mabel)
def encrypt(Message,key):
Encrypted_Message = ""
Message = Message.lower()
fo... |
import tensorflow as tf
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from tensorflow.keras.layers import Dense
from tensorflow.keras import Sequential
from tensorflow.keras.optimizers import Adam
from sklearn import datasets
from sklearn import preprocessing
'''
1. trees.csv를 읽어들여서 아래에 대해
Vo... |
# -*- coding:utf8 -*-
from django.http import HttpResponse
def home(request):
return HttpResponse("ok")
|
import unittest
from katas.kyu_6.does_my_number_look_big_in_this import narcissistic
class NarcissisticTestCase(unittest.TestCase):
def test_true(self):
self.assertTrue(narcissistic(7))
def test_true_2(self):
self.assertTrue(narcissistic(371))
def test_false(self):
self.assertFa... |
arr=[5,3,4,8]
min_arr=arr[0] # we assume that [0] is min of arr
for _ in arr:
if min_arr >_:
min_arr=_
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# otra_app78.py
#
from Tkinter import * # Importamos el modulo Tkinter
def DrawList(): # Creamos una lista con algunos nombres
plist = ['Pablo','Renato','José Alonso']
for item in plist: # Insertamos los items en un Listbox
... |
# coding: utf-8
import re
from yabot.models.vote import VotePool
from yabot.models.member import Member
class VoteMonitor(object):
def process_text(self, send_from, text):
pass
def process_command(self, send_from, text):
match = re.match(ur'投票 (\d+)', text)
if not match:
... |
from django.urls import path, include, re_path
from . import views
app_name = 'datawarehouse'
urlpatterns = [
path('', views.DatawarehouseView.as_view(), name='index'),
# path('review', views.DatawarehouseView.as_view(), name='index'),
path('mahasiswa/<int:id>', views.MahasiswaView.as_view(), name='mahasi... |
# agents.py
# -----------------
# Licensing Information: Please do not distribute or publish solutions to this
# project. You are free to use and extend these projects for educational
# purposes. The Pacman AI projects were developed at UC Berkeley, primarily by
# John DeNero (denero@cs.berkeley.edu) and Dan Klein (kle... |
#-*-coding:utf-8-*-
#这是认证蓝本的登录表单
from flask_wtf import Form
from wtforms import StringField,PasswordField,BooleanField, SubmitField
from wtforms.validators import Required,Length,Email,Regexp,EqualTo
from wtforms import ValidationError
from ..models import User
class LoginForm(Form):
email=StringField('邮箱',valid... |
import random
x = random.randrange(1,7)
def roll_die(sides):
r = random.randrange(1, sides + 1)
return r
|
"""Policy daemon management command."""
import asyncio
from contextlib import suppress
import functools
import logging
import signal
from django.core.management.base import BaseCommand
from ... import core
logger = logging.getLogger("modoboa.policyd")
def ask_exit(signame, loop):
"""Stop event loop."""
lo... |
from datetime import timedelta
from .const import Timeframe
_MAX_DAYS_PER_TIMEFRAME = {
Timeframe.TICKS: 1,
Timeframe.MINUTES1: 365,
Timeframe.MINUTES5: 365 * 2,
Timeframe.MINUTES10: 365 * 3,
Timeframe.MINUTES15: 365 * 4,
Timeframe.MINUTES30: 365 * 5,
Timeframe.HOURLY: 365 * 6,
Timefr... |
import numpy as np
from scipy.linalg import expm
import math
class Logistic:
def __init__(self, learning_rate=0.001, num=1000):
self.learning_rate = learning_rate
self.num_iterations = num
def fit(self, x, y):
arr = np.ones(x.shape[0])
x = np.append(arr.reshape(arr.shape[0],1), x, axis=1)
self.x = x
s... |
import sigpy as sp
import numpy as np
import sigpy.mri as mr
import sigpy_e.nft as nft
def jsens_calib(ksp, coord, dcf, ishape, device = sp.Device(-1)):
img_s = nft.nufft_adj([ksp],[coord],[dcf],device = device,ishape = ishape,id_channel =True)
ksp = sp.fft(input=np.asarray(img_s[0]),axes=(1,2,3))
mps = mr... |
import sys
sys.path.append('../500_common')
import lib_seq
a = "Chrome11"
b = "Profile 1"
path = "../504_kyoto01/data/result.html"
lib_seq.main(a, b, None, None, waitTime=10, preTime=20, check=False) |
import sys
import os
sys.path.append(
os.path.join(os.path.abspath(os.path.dirname(__file__)), 'proto'))
|
import graphlab
import numpy as np
def top_words(wiki, name):
row = wiki[wiki['name'] == name]
word_count_table = row[['word_count']].stack('word_count', new_column_name=['word','count'])
return word_count_table.sort('count', ascending=False)
def top_words_tf_idf(wiki, name):
row = wiki[wiki['name'] =... |
# -*- coding: utf-8 -*-
"""
Created on Tue Apr 7 02:39:50 2020
@author: Nishal Sundarraman
"""
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
dataset=pd.read_csv('train.csv')
temp=dataset.iloc[:,:].values
from sklearn.impute import SimpleImputer
si=SimpleImputer(missing_val... |
#!/usr/bin/env python3
#
# A very basic DREAM Python example. This script generates a basic
# DREAM input file which can be passed to 'dreami'.
#
# Run as
#
# $ ./basic.py
#
# ###################################################################
import numpy as np
import sys
sys.path.append('../../py/')
from DREAM.D... |
#!/usr/bin/env python3
"""Business Logic for training and preserving classification algorithms from skicit learn package.
Usage:
python3 words.py <URL>
"""
import pickle
import Data.data as dl
from Common import constants
from datetime import datetime
from sklearn.preprocessing import StandardScaler
from sklearn... |
#!/usr/bin/python3
# pihsm: Turn your Raspberry Pi into a Hardware Security Module
# Copyright (C) 2017 System76, Inc.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the... |
import os
def menu(account):
while(True):
print("<Main menu>")
print("1. View and Modify Profile")
print("2. View and Modify list of exercise")
print("3. Analyze my exercise record")
print("4. Set and View my exercise goal")
print("5. Submit today's exercise record")... |
from turtle import Turtle
from math import pi
def polyline(t, n, length, angle):
""" Draws n segments line with the given length
and angle in degrees between them.
t: Turtle
n: segments in polyline
length: length of the segment
angle: angle (degrees) between segments
"""
for i in rang... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import re
from astree.StatementSequence import StatementSequence
# AST represents a program's abstract syntax tree
class AST(StatementSequence):
@staticmethod
def preprocess(source):
# Add endline after ';'
source = source.replace(';', ';\n')
... |
from django.db import models
from django.contrib.auth.models import User
from django.template.defaultfilters import slugify
class Category(models.Model):
class Meta:
db_table = 'category'
category = models.CharField(max_length = 200)
slug = models.SlugField(unique = True)
#vivod v adminke
... |
a = int(input("変数aの値を入力してください"))
if (a == 0):
print("変数 a の値は 0 です")
elif (a == 1):
print("変数 a の値は 1 です")
else:
print("変数 a の値は 0,1 以外の文字列です")
|
# _*_ coding: utf-8 _*_
import random
game_count = 0
all_counts = []
while True:
game_count += 1
guess_count = 0
answer = random.randint(0,99)
while True:
guess = int(input("请猜一个数字(0-99)："))
guess_count += 1
if guess == answer:
print("恭禧你，猜中了")
print("你总共猜了" + str(guess_count) + "次")
... |
# 使用 randint()
import random
# 定義 Encrypt 類別
class Encrypt:
def __init__(self):
self.setcode()
def setcode(self):
# 取得 a 、 b 值
a = random.randint(0, 9)
print(a) # 印出 a
b = random.randint(0, 9)
print(b) # 印出 b
# 利用公式建立密碼表
self.code = ""
c = "a"
i = 0
while i < 26:
... |
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 12 01:55:03 2020
@author: sumant
"""
while True:
try:
print()
print("Welcome To My Calculator")
print("========================")
print("1. ADD")
print("2. SUB")
print("3. MUL")
print(... |
# -*- encoding:utf-8 -*-
# __author__=='Gan'
# Find the contiguous subarray within an array (containing at least one number) which has the largest product.
# For example, given the array [2,3,-2,4],
# the contiguous subarray [2,3] has the largest product = 6.
# If 0 in nums, the solution failed.
class Solution(objec... |
from manim import *
import random
WIN = 'W'
LOSS = 'L'
WIN_LOSS_LIST = ([WIN]*33) + ([LOSS]*66)
WIN_PROFIT = 75
LOSS_PROFIT = -25
def get_profit(result):
return WIN_PROFIT if result == WIN else LOSS_PROFIT
def s_tex(*args, **kwargs):
return Tex(*args, **kwargs).scale(0.6)
def fischer_yates(list):... |
# inject the lib folder before everything else
from typing import Optional
from waitlist.base import db
from waitlist.permissions.manager import StaticRoles
from waitlist.storage.database import Account, Character, Role, APICacheCharacterInfo
from waitlist.utility.utils import get_random_token
import waitlist.utility.... |
import requests
from flask import Flask
app = Flask(__name__)
SENSOR_NAMING = {
"10-000802e4e190": "Raspberry Pi",
"10-000802e42e3f": "Raumtemperatur",
}
BASE_URL = "http://192.168.1.14:9090/api/v1/"
@app.route("/")
def hello():
res = requests.get(BASE_URL + "query?query=sensor_temperature_in_celsius")... |
from aimacode.logic import PropKB
from aimacode.planning import Action
from aimacode.search import (
Node, Problem,
)
from aimacode.utils import expr
from lp_utils import (
FluentState, encode_state, decode_state, conjunctive_sentence,
)
from my_planning_graph import PlanningGraph
from functools import lru_cac... |
from model import Todo
import motor.motor_asyncio
client = motor.motor_asyncio.AsyncIOMotorClient('mongodb://root:example@localhost:27017/TodoList?authSource=admin')
database = client.TodoList
collection = database.todo
async def fetchOneTodo(title):
document = await collection.find_one({"title":title})
retur... |
#
#==================================================================================================
# Jasy Template
# Copyright 2013 Sebastian Fastner
#--------------------------------------------------------------------------------------------------
# Based upon
# Core - JavaScript Foundation
# Copyright 2010-20... |
from enum import Enum
class FitnessConfig(Enum):
LOWEST = 0
AVG = 1
HIGHEST = 2
|
from clpy.types.list import make_list
from clpy.types.vector import make_vector
from clpy.types.number import make_int
from clpy.types.string import make_str
class Space(object):
def __init__(self):
pass
def eq(self, a, b):
return a.eq(b)
def hash(self, a):
return a.hash()
de... |
import numpy as np
from pypm import ICP
from picp.main import icp_config, art
from picp.plot_trajectory import icp_p_to_gaussian
from picp.simulator.maps import create_basic_hallway, from_ascii_art
from picp.simulator.scan_generator import ScanGenerator
from picp.util.pose import Pose
import matplotlib.pyplot as plt
... |
# A class is the blueprint of an object
class FirstClass:
def __init__(self):
b = 90
"""This is the docstring""" # It can se accessed using __doc__ variable
a = 10
def printtext(self):
print("I am function")
def printfunc(self):
print("I am Function")
fir = FirstClass... |
from scipy import optimize
# We define our function for later use when solving for Steady State:
def solve_for_ss(n,tau,rho,alpha):
""" solve for the steady state level of capital-per-worker
Args:
tau (float): taxation (fraction of income)
rho (float): patience parameter
n (float): popu... |
#Apendix:
import numpy as np
import os
import cv2
import time
import matplotlib.pyplot as plt
from scipy import interpolate
def eqHist(original):
image = original.copy()
image[:,:,0] = cv2.equalizeHist(image[:,:,0])
image[:,:,1] = cv2.equalizeHist(image[:,:,1])
image[:,:,2] = cv2.equalizeHist(image... |
from django.shortcuts import render, redirect
from django.contrib.auth import logout
from django.views.generic.base import TemplateView
from django.views.generic.base import View
from django.http import HttpResponse
def home(request):
return render(request, 'home.html')
def my_logout(request):
logout(reques... |
from django.db import models
from pulp import *
import numpy as np
Nb_creneaux = 13
class Patient(models.Model):
nom = models.CharField(max_length=100)
motif = models.CharField(max_length=500)
jour = models.IntegerField()
medecin = models.IntegerField()
choix_1 = models.IntegerField()
choix_2... |
# https://www.hackerrank.com/contests/june-world-codesprint/challenges/equal-stacks
def diminu_sum(nums):
total = sum(nums)
for x in nums[-1::-1]:
total -= x
yield total
'''
def all_same(items):
return all(x == items[0] for x in items)
def all_same(items):
try:
iterator = iter(item... |
import numpy as np
def linear_kernel(X1, X2=None,**kwargs):
if X2 is None:
X2 = X1
K = X1.dot(X2.T)
return K
def polynomial_kernel(X1, X2=None, **kwargs):
degree = kwargs.get('degree',2)
if X2 is None:
X2 = X1
return (1 + linear_kernel(X1, X2))**degree
def rbf_kernel(X1, X2=N... |
import pandas as pd
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.metrics.pairwise import cosine_similarity
def get_title_from_index(df, index):
return df[df.Index == index]["Actors"].values[0]
def get_index_from_title(df, actor):
return df[df.Actors == actor][... |
import random, math
import util
NUM_BITS_IN_NUM = 3
CITIES_NUM = 2 ** NUM_BITS_IN_NUM
class TravelingSalesman:
data = None
best_fitness = 9999999
count_fitness = 0
total_count_fitness = 10
def new_individual(self):
if not self.data:
self.data = []
for num in range(... |
#
# @lc app=leetcode.cn id=90 lang=python3
#
# [90] 子集 II
#
# @lc code=start
class Solution:
def subsetsWithDup(self, nums: List[int]) -> List[List[int]]:
nums.sort()
res, track = [], []
def backtrack(nums, depth):
res.append(track[:])
for i in range(depth, len(nums... |
import tornado.web
import os
import config
from views import index
class Application(tornado.web.Application):
def __init__(self):
handlers = [
(r'/students1', index.Students1Handler),
(r'/students2', index.Students2Handler),
(r'/students3', index.Students3... |
import tensorflow as tf
from tensorflow import keras
import numpy as np
def st(s1):
jsonFile = open("Fashion.json", "r")
loadedModelJson = jsonFile.read()
jsonFile.close()
loadedModel = tf.keras.models.model_from_json(loadedModelJson)
loadedModel.load_weights("Fashion.h5")
loadedModel.compile(loss="sparse... |
import json
import numpy as np
from autodisc.helper.data import JSONNumpyEncoder, json_numpy_object_hook
from autodisc.helper.data import set_dict_default_values
def test_set_dict_default_values():
# simple dict
def_dict = {'a': 1, 'b': 2}
trg_dict = {'b': 20, 'c': 30}
test_dict = {'a': 1, 'b': 20, '... |
#!/usr/bin/env python
# Copyright (c) 2012 Google Inc. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""
Verify that dependent rules are executed iff a dependency action modifies its
outputs.
"""
import TestGyp
import os
test = TestGyp.Tes... |
import os
import sys
import time
filename = input("Enter an input file name: ")
exists = os.path.isfile("./%s" % filename)
notEmpty = os.path.getsize("./%s" % filename) > 0
if exists and notEmpty:
file = open ("./%s" % filename, "r")
else:
print ("File doesn't exist or is empty.")
exit
freqList = list()... |
# Copyright 2017 The Forseti Security Authors. 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 required by ap... |
import pandas as pd
from pandas.testing import assert_series_equal
from powersimdata.network.usa_tamu.constants.zones import abv2state, id2abv
from prereise.gather.demanddata.nrel_efs.map_states import (
decompose_demand_profile_by_state_to_loadzone,
shift_local_time_by_loadzone_to_utc,
)
def test_decompose_... |
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