mlouielu

#
# Automatically generated file; DO NOT EDIT.
# OpenWrt Configuration
#
CONFIG_MODULES=y
CONFIG_HAVE_DOT_CONFIG=y
# CONFIG_TARGET_sunxi is not set
# CONFIG_TARGET_apm821xx is not set
# CONFIG_TARGET_ath25 is not set
# CONFIG_TARGET_ar71xx is not set

mlouielu

#
# Automatically generated file; DO NOT EDIT.
# OpenWrt Configuration
#
CONFIG_MODULES=y
CONFIG_HAVE_DOT_CONFIG=y
# CONFIG_TARGET_sunxi is not set
# CONFIG_TARGET_apm821xx is not set
# CONFIG_TARGET_ath25 is not set
# CONFIG_TARGET_ar71xx is not set

mlouielu

# -*- coding: utf-8 -*-
# This is a POC code to generate IOTA transaction and bundle
#
# Note: You will need to implement getTransactionsToApprove
#


import iota
import pearldiver

mlouielu

# 83e1fce17abb51139e533cd0891e087ff4bbac64
# Automatically generated file; DO NOT EDIT.
# OpenWrt Configuration
#
CONFIG_MODULES=y
CONFIG_HAVE_DOT_CONFIG=y
# CONFIG_TARGET_sunxi is not set
# CONFIG_TARGET_apm821xx is not set
# CONFIG_TARGET_ath25 is not set
# CONFIG_TARGET_ar71xx is not set

mlouielu

# Original
from googletrans import Translator

translator = Translator()
text = ('I love you')
languages = ['fr', 'es', 'it', 'de', 'pl', 'ru', 'cs', 'hu', 'eu', 'is', 'lv', 'ja', 'ko']

for x in range(0, len(languages)):
    translated = translator.translate(text, src='en', dest=languages[x])
    print(translated.text)

mlouielu

from googletrans import Translator

tr = Translator()
persons = ['I', 'You', 'He', 'We', 'They']
langs = ['fr', 'es', 'it', 'jp']

for person in persons:
  print(f'=== Person: {person} ===')
  for lang in langs:
    result = tr.translate(f'{person} love', src='en', dest=lang)

mlouielu

<?xml version="1.0"?>
<!DOCTYPE fontconfig SYSTEM "fonts.dtd">
<fontconfig>
        <alias>
                <family>serif</family>
                <prefer>
                        <family>Noto Serif CJK TC</family>
                        <family>Noto Serif CJK JP</family>
                        <family>Noto Serif CJK SC</family>
                </prefer>

mlouielu

import sys


def read_sudoku(n):
    sudoku = []
    for _ in range(n):
        sudoku.append(list(map(int, sys.stdin.readline().strip().split(' '))))

    return sudoku

mlouielu

1. Hakkert, A. S., Braimaister, L., & Van Schagen, I. (2002). The uses of exposure and risk in road safety studies (Vol. 2002, No. 12). SWOV Institute for Road Safety.

網址：https://www.swov.nl/sites/default/files/publicaties/rapport/r-2002-12.pdf
功能：pp.25, 不可能讓不同種類的用路人風險相同，不符合實際情況以及經濟成本。

「實際上，不同用路人型態會有不同的風險，想要將安全風險降到「相等」是幾乎不可行、也無法以合理的經濟成本達成的事情5。機車就是會有比起汽車更高的風險、行人在車禍中比起汽車也會有更高的死亡風險、市區道路有比高速公路更高的車禍率等等。而Hakkert在2002年的研究便已指出，「我們該做的事，是在可行（不論是經濟成本或是方法）的範圍內，採取讓該個群體風險降低的措施」。至於這措施是什麼？至少禁絕絕非好主意。、

2. Department for transport (2016).Reported Road CasualtiesGreat Britain: 2016 Annual Report.

網址：https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/668504/reported-road-casualties-great-britain-2016-complete-report.pdf

mlouielu

1. Hakkert, A. S., Braimaister, L., & Van Schagen, I. (2002). The uses of exposure and risk in road safety studies (Vol. 2002, No. 12). SWOV Institute for Road Safety.

網址：https://www.swov.nl/sites/default/files/publicaties/rapport/r-2002-12.pdf
功能：pp.25, 不可能讓不同種類的用路人風險相同，不符合實際情況以及經濟成本。

「實際上，不同用路人型態會有不同的風險，想要將安全風險降到「相等」是幾乎不可行、也無法以合理的經濟成本達成的事情5。機車就是會有比起汽車更高的風險、行人在車禍中比起汽車也會有更高的死亡風險、市區道路有比高速公路更高的車禍率等等。而Hakkert在2002年的研究便已指出，「我們該做的事，是在可行（不論是經濟成本或是方法）的範圍內，採取讓該個群體風險降低的措施」。至於這措施是什麼？至少禁絕絕非好主意。、

2. Department for transport (2016).Reported Road CasualtiesGreat Britain: 2016 Annual Report.

網址：https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/668504/reported-road-casualties-great-britain-2016-complete-report.pdf