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""" | |
Japanese Text Sentiment Analysis Tool | |
----------------------------------- | |
複数のBERTモデルを使用して日本語テキストの感情分析を行うプログラム | |
""" | |
import argparse | |
import json | |
import os | |
import sys |
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import argparse | |
import gspread | |
from oauth2client.service_account import ServiceAccountCredentials | |
from trello import TrelloClient | |
CARD_NAME = "カード名" | |
LABEL = "ラベル" | |
CHECKLIST_TITLE = "チェックリストタイトル" | |
CHECKLIST_ITEMS = "チェックリスト" |
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// Playground で動作の確認をしながら試すとよいと思います | |
// まずは Hello world から | |
println("Hello, world") | |
print("print は改行が無い ") | |
println("こんにちは") | |
println("行:" + String(__LINE__)) | |
println("列:" + String(__COLUMN__)) | |
// ファイル名: __FILE__ | |
// 関数やメソッド名: __FUNCTION__ | |
// などのリテラル表現がある |
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#!/usr/bin/env python | |
import settings | |
import sys | |
import traceback | |
import logging | |
import smtplib | |
from email.MIMEText import MIMEText | |
from email.Header import Header | |
from email.Utils import formatdate |
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user www-data; | |
#worker_processes 4; | |
#worker_priority 0; | |
#worker_cpu_affinity 0001 0010 0100 1000; | |
#worker_rlimit_nofile 163840; | |
#worker_processes 8; | |
#worker_priority 0; | |
#worker_cpu_affinity 00000001 00000010 00000100 00001000 00010000 00100000 01000000 10000000; |