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from ephemeral.build_api.lib_function import LibFunction
from ephemeral.build_api.job_builder import JobBuilder
class LibBuilder(object):
def __init__(self):
self.functions = []
self.jobs = []
def add_function(self, name, method):
t = LibFunction(name, method)
self.functions.... |
#!usr/bin/python
# -*- coding: utf-8 -*-
import torch
import torch.nn as nn
class sphere20(nn.Module):
def __init__(self):
super(sphere20, self).__init__()
# input: batch_size, channel_num, pic_width, pic_height (B, 3, 112, 112)
self.conv1_1 = nn.Conv2d(in_channels=3, out_channels=64, k... |
# Python Imports
import wx.lib.agw.floatspin as FS
from datetime import datetime
import re
import time
from threading import Thread
# Local Imports
import globals
from yamaha import *
from helpers import *
class SmartVolumeFinished(eg.ActionBase):
def __call__(self):
self.plugin.smart_vol_up_start = None
... |
# -*- coding: utf-8 -*-
# 卷积神经网络训练mnist
# 训练20000次后，再进行测试，测试精度可以达到99%。
import tensorflow as tf
import tensorflow.examples.tutorials.mnist.input_data as input_data
# mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)
def read_data(file_queue):
reader = tf.TextLineReader(skip_header_lines=1)
key, va... |
from model_file import Model
from abc import ABC, abstractmethod
import datetime
class Login_Controller:
def __init__(self):
pass
def show_login_menu(self):
x = True
while x == True:
print("""SELAMAT DATANG DI APLIKASI GERAI
1. Login (Admin)
2. Login (Cashier)""")
... |
from dataclasses import dataclass, field
from datetime import datetime
from typing import List
from rubicon_ml.domain.mixin import TagMixin
from rubicon_ml.domain.utils import uuid
DIRECTIONALITY_VALUES = ["score", "loss"]
@dataclass
class Metric(TagMixin):
name: str
value: float
id: str = field(defaul... |
import Day11
#Test Common to Q1 & Q2
def test_find_number_occupied_seats_1():
assert 6 == Day11.find_number_occupied_seats([['#', '#', '#'], ['#', '.', '.'], ['#', '.', '#']])
def test_find_number_occupied_seats_2():
assert 0 == Day11.find_number_occupied_seats([[], [], []])
#Test Specific to Q1
def test_nex... |
#park sensor without buzzer
import RPi.GPIO as GPIO
import time
trigger_pin = 23
echo_pin = 24
red_pin = 22
yellow_pin = 27
green_pin = 17
def setup(): #method to set... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
GNU AFFERO GENERAL PUBLIC LICENSE
Version 3, 19 November 2007
"""
import wikipedia
FRENCH = "fr"
ENGLISH = "en"
def get_resum(word_to_search, language):
"""
Fonction qui renvoie le résumé du wikipedia du mot cherché
:param word_to_search: Mot à cherc... |
r"""
Meshless Methods for Computational Mechanics (:mod:`meshless`)
==============================================================
.. currentmodule:: meshless
This repository has been created to organize the code developed during studies
with novel meshless methods.
Available modules
- ES-PIM: static and linear buc... |
#----------------URL and imports--------------------------
import requests #Should be install requests libary
URL = 'http://localhost:8088/services/users/'
#---------------REQUESTS-----------------------------------
def delete_user_by_id(id):
response = requests.delete(URL + str(id))
print('DELETE ... |
from classifier_utils import *
def write_dmc_csv(folder):
dmct = pd.read_csv(os.path.join(folder, "dmct.csv"), index_col=0)
dmct = dmct[dmct["DMC"] != 0]
dmct = dmct.drop(columns="DMC")
dmct.to_csv(os.path.join(folder, "dmct_small.csv"))
if __name__ == "__main__":
folders = ["../analysis/martino2015/Mvalu... |
#!/usr/bin/env python3
from __future__ import print_function
import sys
import os
import subprocess
import time
fullScript = os.path.abspath(sys.argv[0])
scriptName = os.path.basename(sys.argv[0])
scriptName = os.path.splitext(scriptName)[0]
jarName = scriptName + '.jar'
toolsFolder = os.path.dirname(fullScript)
... |
import configparser
import telegram
import sys
class TelegramWriter:
def __init__(self, token, chat_id):
self.token = token
self.chat_id = chat_id
self.bot = telegram.Bot(token=self.token)
def write(self, msg):
self.bot.sendMessage(chat_id=self.chat_id, text=msg)
if __name__ == '__main__':
... |
from ..util import file_handling as fh
import html
import output_labels
import output_label_index
import output_responses
import output_response_index
import output_words
import output_word_index
def make_masthead(active_index):
names = ['Responses', 'Labels', 'Words']
targets = ['index_responses.html', 'inde... |
from espeak_bot.main import main
main()
|
# coding=utf-8
# Copyright 2016 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
import logging
impor... |
import numpy as np
import math
import matplotlib.pyplot as plt
def load_pts_features(path):
""" Load interest points and SIFT features.
Args:
path: path to the file pts_feats.npz
Returns:
pts: coordinate points for two images;
an array (2,) of numpy arrays (N1, 2), (N2, ... |
class PropertyManager:
def __init__(self, person_list):
self.person_list = person_list
self.keyword_list = self.get_keyword_list()
def get_keyword_list(self):
keyword_list = []
for person in self.person_list:
for prop in person.property_list:
if pr... |
import unittest
from katas.kyu_6.wordify import wordify
class WordifyTestCase(unittest.TestCase):
def test_equals(self):
self.assertEqual(wordify(1), 'one')
def test_equals_2(self):
self.assertEqual(wordify(10), 'ten')
def test_equals_3(self):
self.assertEqual(wordify(12), 'twel... |
P1_WINS = {'scissorspaper', 'paperrock', 'rockscissors'}
def rps(p1, p2):
if p1 == p2:
return 'Draw!'
return 'Player {} won!'.format(1 if p1 + p2 in P1_WINS else 2)
|
# Selection Sort
# Given an array of integers, sort the elements in the array in ascending order
def swap(nums, a, b):
temp = nums[a]
nums[a] = nums[b]
nums[b] = temp
return
def selectSort(nums):
if nums is None or len(nums) <= 1:
return nums
min_idx = 0
while min_idx <= len(nums)... |
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
import grpc
import chat_pb2 as chat__pb2
class ChatStub(object):
# missing associated documentation comment in .proto file
pass
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Channel.
"""
self.real... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Aug 11 23:29:27 2018
@author: ck807
"""
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
import keras
from keras.models import Model
from keras.layers.core import Dense, Lambda
from keras.layers.advanced_activations import L... |
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import Imputer
from sklearn.model_selection import cross_val_score
from sklearn.ensemble import RandomForestRegressor
def get_mae(X, y):
# multiple by -1 to make positive MAE score instead of neg value returned as... |
# -*- coding: utf-8 -*-
from datetime import datetime
from lxml import etree
from optparse import OptionParser
from zeit.care import add_file_logging
from zeit.connector.resource import Resource
import StringIO
import httplib
import logging
import os
import zeit.connector.connector
logger = logging.getLogger(__name__... |
import torch
from argparse import ArgumentParser
from unet.utils import *
from unet.unet import UNet
parser = ArgumentParser()
parser.add_argument("--images_path", type=str, required=True)
parser.add_argument("--model", type=str, required=True)
parser.add_argument("--result_folder", type=str, required=True)
parser.a... |
import unittest
from Pyskell.Language.Syntax import *
from Pyskell.Language.TypeClasses import *
from Pyskell.Language.EnumList import L, Enum
from Pyskell.Language.Syntax.QuickLambda import __
class ADTTest(unittest.TestCase):
def test_adt(self):
Unit, V1, V2, V3 = data.Unit == d.V1 | d.V2 | d.V3 \
... |
# -*- coding: utf-8 -*-
"""
sphinx.domains.swift
~~~~~~~~~~~~~~~~~~~
The Swift domain.
:copyright: Copyright 2016 by Johannes Schriewer
:license: BSD, see LICENSE for details.
"""
import re
from docutils import nodes
from docutils.parsers.rst import directives
from sphinx import addnodes
from s... |
"""
Created by hzwangjian1
on 2017-08-04
"""
import hashlib
def test():
start = 0
end = 33
step = int(end/10)
aa = [i * 10 for i in range(step)]
for i in aa:
print(i)
for j in range(0, 368, 10):
print(j)
def test_split():
category = '游戏/直播'
root_category = category.spl... |
# Defination for a binary tree node
class TreeNode(object):
def __init__(self,x):
self.val = x
self.left = None
self.right = None
########################################################
def findSecondMinimumValue(root):
row = [root]
minlist = [root.val,-1]
while row:
for... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
__version__ = '1.0.1'
from web_backend.nvlserver.module import nvl_meta
from sqlalchemy import BigInteger, String, Column, Boolean, Table, ForeignKey, DateTime, func
console = Table(
'console',
nvl_meta,
Column('id', BigInteger, primary_key=True),
Column... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.2 on 2017-10-10 14:25
from __future__ import unicode_literals
from django.db import migrations, models
import user_input.models
class Migration(migrations.Migration):
dependencies = [
('user_input', '0019_auto_20171009_2052'),
]
operations = [
... |
from aiogram import types
from aiogram.dispatcher.filters import Command
from keyboards.default import locations_for_button
from loader import dp
from utils.misc.calc_for_distance import choose_nearest
@dp.message_handler(Command("show_attractions"))
async def show_on_map(message: types.Message):
await message.an... |
"""
Tests if the MPR121 touch sensor is set up correctly.
See readme for set up instructions.
"""
from piripherals import MPR121
mpr = MPR121(bus=4, irq=0)
def _onTouch(isPressed, pinNumber):
pressedMessage = "pressed" if isPressed else "released"
print('pin %d is %s' % (pinNumber, pressedMessage))
for i in range... |
#Define a SOLVABLE sudoku board
board = [
[0,0,0,0,0,0,0,0,0],
[0,1,5,3,0,9,7,8,0],
[0,4,0,2,0,1,0,6,0],
[0,6,4,7,0,8,1,2,0],
[0,0,0,0,0,0,0,0,0],
[0,3,7,5,0,6,8,4,0],
[0,8,0,4,0,5,0,9,0],
[0,7,9,8,0,2,4,3,0],
[0,0,0,0,0,0,0,0,0]
]
#Sudoku solving function
def sudoku_sol... |
import math
from unittest import TestCase
import simplejson as S
class TestFloat(TestCase):
def test_floats(self):
for num in [1617161771.7650001, math.pi, math.pi**100, math.pi**-100, 3.1]:
self.assertEquals(float(S.dumps(num)), num)
self.assertEquals(S.loads(S.dumps(num)), num)
... |
"""
18. Plus One
Question:
Given a number represented as an array of digits, plus one to the number.
Example Questions Candidate Might Ask:
Q: Could the number be negative?
A: No. Assume it is a non-negative number.
Q: How are the digits ordered in the list? For example, is the number 12 represented by [1,2] or
[2,1]?... |
print("LETTER U HAS BEEN SUCCESSFULLY EXECUTED") |
from validators import domain
class Scrub(object):
"""
Core data handler to clean, and post results in proper
DataSerialization format for SimplyDomain.
Attributes:
subdomain: subdomain to parse
"""
def __init__(self, subdomain=""):
"""
Init class struc. Used as a ob... |
from random import randint
from django.core.management.base import BaseCommand
from faker import Faker
from homepage.models import Student, Subject, Book
class Command(BaseCommand):
books = ['Zach0tka', 'za4etko', 'zachechotko', 'zaCHETKO', 'zacheton']
"""
Help command that generate books for each... |
import sys
import numpy as np
import lib1743734 as lib
def create_matrix(bags, N):
"""
Method that creates the matrix of distances given the Jaccard similarity.
:param bags: Array of bags.
:param N: Size of the matrix.
:return: The distance Jaccard similarity matrix J.
"""
D = np.ones([N, ... |
from django.shortcuts import render
from django.views.generic.base import TemplateView
from sample1.models import Article
class HomePageView(TemplateView):
template_name = 'home.html'
def get_context_data(self, *args, **kwargs):
context = super().get_context_data(*args, **kwargs)
context['lat... |
str = input()
vowel = ['A','E','I','O','U']
substr_list1 = []
substr_list2 = []
for i in range(1,len(str)+1):
for j in range(0,len(str)-i+1):
sub_str = ""
ans = 0
for k in range(j,j+i):
sub_str +=str[k]
for q in vowel:
if sub_str[0]==q:
... |
# -*- coding: utf-8 -*-
#Reading Oauth file from the ../auth/in_auth file
from linkedin import linkedin
import json
credentials='../auth/In_auth'#add your authentication data
f=open(credentials,'r')
keys=f.readlines()
f.close()
#Read credentials keys
CONSUMER_KEY=keys[0].strip()
CONSUMER_SECRET=keys[1].strip()
USER... |
from tweets import *
import os
import unittest
class Tests(unittest.TestCase):
def test_not_a_file(self):
self.assertRaises(AssertionError, tweets_analysis, '')
self.assertRaises(AssertionError, tweets_analysis, 999)
self.assertRaises(AssertionError, tweets_analysis, 'aaa')
... |
# https://www.youtube.com/watch?v=uWvb3QzA48c&list=PLsk-HSGFjnaH5yghzu7PcOzm9NhsW0Urw&index=18
import pygame
import random
import os
#CONSTANTS - GAME
WIDTH = 600
HEIGHT = 300
FPS = 30
GROUND = HEIGHT - 30
SLOW = 3
FAST = 8
#CONSTANTS - PHYSICS
PLAYER_ACC = 0.9
PLAYER_FRICTION = -0.12
PLAYER_GRAV = 0.... |
import sys
from awsglue.transforms import *
from awsglue.utils import getResolvedOptions
from pyspark.context import SparkContext
from awsglue.context import GlueContext
from awsglue.job import Job
## @params: [JOB_NAME]
args = getResolvedOptions(sys.argv, ['JOB_NAME'])
print "*"*20
print args
print "*"*20
sc = Spark... |
def find(a, b):
for x in a:
if x == b:
return a.index(x) #インデックス番号
return -1
i = input()
values = eval(i)
index = find(values, 100)
if index == -1:
print("100は一つも含まれない")
else:
print(f"100は{index}番目に含まれる")
#
|
# Copyright 2016 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import annotations
import dataclasses
import logging
from dataclasses import dataclass, field
from enum import Enum
from typing import Iterable, Mapping
from pants.engine... |
# # 1. 数据类型 (类型转换 .每个类型常用方法, )
# #python的数据类型有1、字符串 2、布尔类型 3、整数 4、浮点数
# # 5、 数字 6、列表 7、元组 8、字典 9、日期
#
# #控制字符串循环（* 在数字中表示乘号，在字符串中表示重复多少次）
# e = '我爱中国 ,'*8
# print(e)
#
# #拆分字符串
# for g in 'I love china':
# print(g)
#
# #字符串---用单引号或双引号括起来
# str = 'who are you ?'
# str2 = 'i am String'
# print(str+' '+str2)
#
# #还有一... |
"""
hardwire.server
Copyright (C) 2014 Joseph P. Crabtree
Hardwire._site_init based on wsgi_echo example
https://github.com/tavendo/AutobahnPython/blob/master/examples/twisted/websocket/echo_wsgi/server.py
Copyright (C) 2012-2013 Tavendo GmbH
This module implements the Hardwire Web Interface Server.
"""
... |
import discord
from discord.ext import commands
# Inicializaciones
bot=commands.Bot(command_prefix="-")
bot.remove_command("help")
@bot.event
async def on_ready():
await bot.change_presence(activity=discord.Game(name="¡Computación! | -help"))
@bot.event
async def on_command_error(ctx, error):
... |
a = input()
b = input()
c = input()
d = {
'a':a,
'b':b,
'c':c
}
n = 'a'
while(True):
if d[n] == '':
break
nx = d[n][0]
d[n] = d[n][1:]
n = nx
print(n.upper()) |
def pattern(n):
return '\n'.join(str(x) * x for x in range(2, n + 1, 2))
'''
##Task:
You have to write a function pattern which creates the following pattern
upto n number of rows.
If the Argument is 0 or a Negative Integer then it should
return "" i.e. empty string.
If any odd number is passed as... |
"""
The implementation of hidden markov model using tensorflow for a sequence of discrete observations.
This implementation is simpler than the original version.
The tutorial of the original version can be found here: https://web.stanford.edu/~jurafsky/slp3/A.pdf
"""
import numpy as np
import tensorflow as tf
from g... |
# -*- coding: utf-8 -*-
import os
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'my_library.settings')
import django
django.setup()
from django.utils import timezone
from books.models import Category, Book, Tag
def populate():
programming_books = [
{"title": "Official Python Tutorial",
"autho... |
from control_panel.util import coin_data_formatter, create_timestamp
from control_panel.cryptography_func import coin_data_hasher, validate_coin_data_hash, generate_random_id, generate_block_hash
class BlockWeb:
def __init__(self):
pass
class BlockChain:
def __init__(self, ):
pass
"""... |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.4 on 2017-01-07 01:37
from __future__ import unicode_literals
import django.utils.timezone
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('yyfeed', '0002_auto_20170106_1714'),
]
operations = [
... |
# Copyright (c) 2009 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.
{
'targets': [
{
'target_name': 'program',
'type': 'executable',
'msvs_cygwin_shell': 0,
'sources': [
'program.c',
],
... |
from reference.models import Province, District
from .resources import ProvinceResource, DistrictResource
from import_export.formats import base_formats
from django.urls import reverse_lazy
from giz.import_export_views import ImportView
class ProvinceImportView(ImportView):
model = Province
template_name = 'da... |
# This script finds the optimal classifier (PCA+KNN vs. Linear SVM) and
# justifies the use of the threshold for calling an unknown cell S or R.
%reset
import numpy as np
import pandas as pd
import os
import scanpy as sc
import seaborn as sns
from mpl_toolkits.mplot3d import Axes3D
from matplotlib.pyplot import plo... |
import Game
from Menu.HeadMenu import HeadMenu
from Menu.PlayerMenu.PlayerSelectionMenuItems import *
from Vector2 import Vector2
class PlayerSelection(HeadMenu):
def __init__(self, resolution, background=None, logo=None, playerMenuItems=None):
super().__init__(resolution, background, logo)
self... |
import shutil
import tempfile
import unittest
from persistqueue import pdict
class PDictTest(unittest.TestCase):
def setUp(self):
self.path = tempfile.mkdtemp(suffix='pdict')
def tearDown(self):
shutil.rmtree(self.path, ignore_errors=True)
def test_unsupported(self):
pd = pdict... |
import pandas as pd
import statistics as st
import plotly.figure_factory as ff
import plotly.graph_objects as go
df = pd.read_csv("StudentsPerformance.csv")
data = df["reading score"].tolist()
mean = st.mean(data)
median = st.median(data)
mode = st.mode(data)
std_deviation = st.stdev(data)
first_std_dev... |
import dash_bootstrap_components as dbc
from dash import html
card = dbc.Card(
[
dbc.CardImg(src="/static/images/placeholder286x180.png", top=True),
dbc.CardBody(
[
html.H4("Card title", className="card-title"),
html.P(
"Some quick exa... |
#!bin/python3
def findInstanceCount(arr, element):
sum = 0
for t in arr:
if (t == element):
sum += 1
return sum
def main():
n = int(input())
arr = []
search = []
for i in range(n):
arr.append(input())
q = int(input())
for i in range(q):
search.... |
prices = {
'banana': 4,
'apple': 2,
'orange': 1.5,
'pear': 3
}
stock = {
'banana': 4,
'apple': 5,
'orange': 6,
'pear': 7
}
for price in prices:
print(f'{price}')
print(f'Price: {prices[price]}')
print(f'Stock: {stock}')
total = 0
for price in prices:
inventory = prices[price] * stock[price]
... |
# -*- coding: utf-8 -*-
"""
Created on Thu Sep 7 16:50:35 2017
@author: zx621293
"""
#Cumulative Variance explains
var= pca.explained_variance_ratio_
var1=np.cumsum(np.round(pca.explained_variance_ratio_, decimals=4)*100)
fig = plt.figure(figsize=(20, 10))
plt.suptitle('Cumulative Variance contribution ... |
import types
import time
from django.shortcuts import render_to_response, get_object_or_404
from django.http import HttpResponseRedirect, Http404
from django.core.urlresolvers import reverse
from django.template import RequestContext
from django.contrib.auth import authenticate, login, logout
from django.db.models imp... |
# this is a psuedo code for the coloring project
import tensorflow as tf
import numpy as np
from glob import glob
import math
import sys
import random
#import the necessary packages above I think should be useful
'''
To present the nueral network, I want to create an object with methods and attributes.
... |
def fib(n):
resultado=[]
a, b = 0,1
while b<n:
resultado.append(b)
a, b = b, a+b
return resultado
print(fib(5)) |
import connexion
from connexion.resolver import RestyResolver
from flask_sqlalchemy import SQLAlchemy
# Uncomment to see import-time debug logging:
#import logging
#logging.basicConfig(level=logging.DEBUG)
api = connexion.FlaskApp(__name__, specification_dir='specs/')
api.app.config['SQLALCHEMY_DATABASE_URI'] = 'sqli... |
from time import sleep
from serial import Serial
import serial.tools.list_ports
import helpers
import dds_data
ad9910_address = 'COM10'
# addresses = [cp[0] for cp in serial.tools.list_ports.comports()]
# for port in addresses:
# print port
# if 'COM4' in addresses:
# ser = Serial('COM4', 4800, timeout=2)
# se... |
from django.db import models
from django.conf import settings
from mainapp.models import Product
from datetime import timedelta
#for sitemap
from django.urls import reverse
from django.contrib.sitemaps import ping_google
class Review(models.Model):
review_id = models.AutoField(primary_key=True)
use... |
"""
author songjie
"""
from flask_login import current_user
from tool.lib.function import get_date_time
class TradeInfo(object):
def __init__(self, goods):
self.total = 0
self.trades = []
self.__parse(goods)
def __parse(self, goods):
self.total = len(goods)
self.trade... |
import csv
import os
import re
from datetime import date
import plotly.graph_objects as go
import questionary
from pytrends.request import TrendReq
from tabulate import tabulate
from setup import setup
class Student:
"""
Class for Student Mode.
Used as base class for `Teacher` Class
"""
def __... |
# Copyright 2021 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, ... |
import pandas as pd
import gc
from joblib import dump, load
import numpy as np
import shap
import torch
import torch.nn as nn
import torch.nn.functional as F
from sklearn import preprocessing
from torch.nn.utils.weight_norm import weight_norm
from train_config import *
import matplotlib.pyplot as plt
import numpy a... |
'''
Topic signature data:
Each file is named according to the following pattern:
measure.BNCfilt.target_word.PoS.sense.txt.bz2
for instance: tf_idf.BNCfilt.church.n.1.txt.bz2, which corresponds to the
topic signature of the first sense of church built using the tf.idf
measure.
- Each file is compresed with bzip2 (http:... |
# This file is part of beets.
# Copyright 2016, Thomas Scholtes.
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy,... |
"""
File to put some utils functions
"""
import random
import conf
def to_bin(number):
return list(bin(number))[2:]
def to_int(binary):
signal = -1 if binary[0] == '1' else 1
number = int(''.join(binary[1:]), 2)
return signal*number
def similarity_of_individuals(ind1, ind2):
if len(ind1) != len... |
"""
Given an array A of integers and integer K, return the maximum S such that there exists i < j with A[i] + A[j] = S
and S < K. If no i, j exist satisfying this equation, return -1.
Input: A = [34,23,1,24,75,33,54,8], K = 60
Output: 58
Explanation:
We can use 34 and 24 to sum 58 which is less than 60.
"""
class So... |
# -*- coding: utf-8 -*-
# import ngram
sentence = "I am an NLPer"
words = sentence.split(' ')
for i in range(len(words)):
print(''.join(words[i]) + ' ' , end ="")
if(i+1 == len(words)):
break
else:
print(''.join(words[i+1]))
# print(''.join(words[3]))
|
from enum import Enum
from itertools import permutations
from collections import defaultdict
class Opcodes(Enum):
ADD = 1
MULTIPLY = 2
INPUT = 3
OUTPUT = 4
JTRUE = 5
JFALSE = 6
LESSTHAN = 7
EQUALS = 8
HALT = 99
with open("input1.txt","r") as f:
data = f.readlines()[0].replace("\... |
#!usr/bin/python
def penis():
filename = raw_input("file name?: ")
with open(filename) as f:
for line in f:
for word in line.split():
print line.replace(str(word), "penis")
penis()
|
import heapq as h
import math
import random
import time
from collections import defaultdict, deque
import numpy as np
from matplotlib import pyplot as plt
from occupancyGrid import OccupancyGrid
from utils import raytrace
class CCRA:
def __init__(self, occ_grid, block_size_x, block_size_y):
# Change obstacle... |
from PIL import Image, ImageChops
import numpy as np
import os
from scipy.spatial import ConvexHull
from math import sqrt
from skimage.feature import blob_log, blob_dog, blob_doh
import rawpy
path_to_images = ''
faint_green_image_path = ''
laser_area = 0.17 * 0.17 # m^2
def iter_through_folder_for_images(folder_pat... |
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.neural_network import MLPClassifier
from sklearn import preprocessing
import tensorflow.keras as keras
def custom_activation(x):
return 2 / keras.activations.sigmoid(x)
#keras.utils.generic_utils.get_cust... |
from django.contrib import admin
from .models import *
admin.site.register(AcademicYear)
admin.site.register(Department)
admin.site.register(Course)
admin.site.register(Semester)
admin.site.register(Teacher) |
#!/usr/bin/python3.6
from __future__ import division
import numpy as np
import pandas as pd
import sys
from sklearn import svm
from sklearn.ensemble import RandomForestClassifier
import csv
from sklearn.metrics import matthews_corrcoef
from sklearn.metrics import classification_report
#train_file = sys.argv[1]
#train_f... |
from flask import json
from datamanager import *
class User():
#__slots__ = ('wxid', 'name')
def __init__(self, wxid='', name='', head_url=''):
self.wxid = wxid
self.name = name
self.head_url = head_url
|
# imports
import os
import csv
import locale
# set locale settings to US
locale.setlocale( locale.LC_ALL, 'en_US.UTF-8' )
# set csv path
path = os.path.join('Financial_Records', 'budget_data_1.csv')
with open(path, newline = '') as file:
# create reader
reader = csv.reader(file, delimiter = ',')
# sets... |
planed_gifts = input()
list_planed_gifts = planed_gifts.split()
command = input()
while command != "No Money":
list_command = command.split(" ")
gift = list_command[1]
if "OutOfStock" in command:
for index, element in enumerate(list_planed_gifts):
if gift in element:
li... |
#!/usr/bin/env python3
# -*- encoding: utf-8 -*-
# File: osc4py3/tests/dispatching.py
# <pep8 compliant>
import sys
from os.path import abspath, dirname
# Make osc4py3 available.
PACKAGE_PATH = dirname(dirname(dirname(abspath(__file__))))
if PACKAGE_PATH not in sys.path:
sys.path.insert(0, PACKAGE_PATH)
import ti... |
import sys
global p
p = float(sys.argv[1])
class State:
def __init__(self, Psum, Dsum, Naces, isTwoCards, isBlackJack, pair, turn):
self.Psum = Psum
self.Dsum = Dsum
self.Naces = Naces
self.isTwoCards = isTwoCards
self.isBlackJack = isBlackJack
self.pair = pair
... |
from flask import Flask, request, jsonify
# custom modules
from helpers import get_stock_all, get_stock_one, is_valid
app = Flask(__name__)
@app.route("/")
def index():
return jsonify("hello")
@app.route("/stocks")
def stocks():
try:
stocks = get_stock_all()
return jsonify(stocks)
ex... |
#!/usr/bin/python
import time
import sys
import select
print "Start loop, type 'exit' to exit"
while True:
print "Reading..."
i,o,e = select.select([sys.stdin],[],[],0.0001)
for s in i:
if s == sys.stdin:
input = sys.stdin.readline().strip()
if (input == "exit"):
... |
# -*- coding: utf-8 -*-
"""Tests for Time zone information files (TZif)."""
import unittest
from dtformats import tzif
from tests import test_lib
class TimeZoneInformationFileTest(test_lib.BaseTestCase):
"""Time zone information file (TZif) tests."""
# pylint: disable=protected-access
def testDebugPrintFil... |
__author__ = 'bhathiyap'
class Foo(tuple):
def __new__(cls, _, *args):
return super(Foo, cls).__new__(cls, tuple(args))
def __init__(self, label_string, *_):
self.label = label_string
if __name__ == '__main__':
foo = Foo("add", 2, "+", 3)
print foo
print foo.label
|
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