UNIX コマンド

dotinstall:~ $ ls -l /exc/shadow
ls: /exc/shadow: No such file or directory
dotinstall:~ $ ls -l /etc/shadow
-rw-r—– 1 root shadow 454 Sep 23 2020 /etc/shadow
dotinstall:~ $ cat /etc/shadow
cat: can’t open ‘/etc/shadow’: Permission denied
dotinstall:~ $ sudo !!
sudo cat /etc/shadow
root:!::0:::::
bin:!::0:::::
daemon:!::0:::::
adm:!::0:::::
lp:!::0:::::
sync:!::0:::::
shutdown:!::0:::::
halt:!::0:::::
mail:!::0:::::
news:!::0:::::
uucp:!::0:::::
operator:!::0:::::
man:!::0:::::
postmaster:!::0:::::
cron:!::0:::::
ftp:!::0:::::
sshd:!::0:::::
at:!::0:::::
squid:!::0:::::
xfs:!::0:::::
games:!::0:::::
cyrus:!::0:::::
vpopmail:!::0:::::
ntp:!::0:::::
smmsp:!::0:::::
guest:!::0:::::
nobody:!::0:::::
dotinstall:!:18528:0:99999:7:::
dotinstall:~ $ sudo

UNIX コマンド

dotinstall:~ $ ls
dotinstall:~ $ touch index.html
dotinstall:~ $ ls -l
total 0
-rw-r–r– 1 dotinsta wheel 0 Sep 8 21:06 index.html
dotinstall:~ $ rm -index.html
rm: unrecognized option: n
BusyBox v1.31.1 () multi-call binary.

Usage: rm [-irf] FILE…

Remove (unlink) FILEs

    -i      Always prompt before removing
    -f      Never prompt
    -R,-r   Recurse

dotinstall:~ $ ls
index.html
dotinstall:~ $ rm – index.html
rm: can’t remove ‘-‘: No such file or directory
dotinstall:~ $ rm – index.html
rm: can’t remove ‘-‘: No such file or directory
rm: can’t remove ‘index.html’: No such file or directory
dotinstall:~ $ ls
dotinstall:~ $

C# 変数

using System.Collections;
using System.Collections.Generic;
using UnityEngine;

public class test3 : MonoBehaviour
{
// Start is called before the first frame update
void Start()
{
int a;

    float b;

    string c;

    bool d;

    a = 1;
    b = 0.01f;
    c = "勇者の登場";
    d = true;

    //コンソールに表示
    Debug.Log(a);
    Debug.Log(b);
    Debug.Log(c);
    Debug.Log(d);
}

}

UNIXコマンド

dotinstall:~ $ ls
dotinstall:~ $ cp /etc/services .
dotinstall:~ $ wc services
417 1994 14464 services
dotinstall:~ $ wc -l services
417 services
dotinstall:~ $ head -n 3 services

Network services, Internet style

#

Note that it is presently the policy of IANA to assign a single well-known

dotinstall:~ $ tail -3 services
fido 60179/tcp # fidonet EMSI over TCP

Local services

dotinstall:~ $ grep ‘backup’ services
amanda 10080/tcp # amanda backup services
afbackup 2988/tcp # Afbackup system
afbackup 2988/udp
afmbackup 2989/tcp # Afmbackup system
afmbackup 2989/udp
kamanda 10081/tcp # amanda backup services (Kerberos)
amandaidx 10082/tcp # amanda backup services
amidxtape 10083/tcp # amanda backup services
dotinstall:~ $ rm services
dotinstall:~ $ ls
dotinstall:~ $

GPT-2を使ってマルコフ連鎖で文章生成

mari.py

from flask import Flask, render_template, request
import random
import markovify
from transformers import GPT2LMHeadModel, GPT2Tokenizer

app = Flask(name)

GPT-2モデルのロード

tokenizer = GPT2Tokenizer.from_pretrained(“gpt2”)
model = GPT2LMHeadModel.from_pretrained(“gpt2”)

マルコフ連鎖用のテキストデータを格納するリスト

text_data = []

GPT-2による自由なテキスト生成

def generate_gpt2_text(prompt, max_length=100):
input_ids = tokenizer.encode(prompt, return_tensors=”pt”)
output = model.generate(input_ids, max_length=max_length, num_return_sequences=1)
response = tokenizer.decode(output[0], skip_special_tokens=True)
return response

マルコフ連鎖モデルを生成

def build_markov_model(data):
text_model = markovify.NewlineText(data)
return text_model

マルコフ連鎖を使って新しいテキストを生成

def generate_text_with_markov(model, num_sentences=3):
generated_text = model.make_sentence()
return generated_text

ウェブアプリケーションのルート

@app.route(“/”, methods=[“GET”, “POST”])
def chatbot():
user_input = “”
gpt2_response = “”
markov_response = “”

if request.method == "POST":
    user_input = request.form["user_input"]

    # ユーザーからの入力をGPT-2に送信し、生成されたテキストを取得
    gpt2_response = generate_gpt2_text(user_input)

    # GPT-2の生成テキストをリストに追加
    text_data.append(gpt2_response)

    # マルコフ連鎖モデルを使って新しいテキストを生成
    markov_response = generate_text_with_markov(build_markov_model(text_data))

return render_template("chat.html", user_input=user_input, gpt2_response=gpt2_response, markov_response=markov_response)

if name == “main“:
app.run(debug=True)

templates

chat.html


Chatbot

Chatbot

ユーザー: 送信

ユーザーの入力:

{{ user_input }}

GPT-2生成テキスト:

{{ gpt2_response }}

マルコフ連鎖生成テキスト:

{{ markov_response }}