tsuchm

- name: Check multimedia keyring
  command: dpkg-query -W deb-multimedia-keyring
  register: multimedia_keyring
  changed_when: multimedia_keyring.rc == 1
  failed_when: multimedia_keyring.rc > 1
  check_mode: no

- name: Retrieve deb-multimedia-keyring
  get_url:
    url: http://www.deb-multimedia.org/pool/main/d/deb-multimedia-keyring/deb-multimedia-keyring_2016.8.1_all.deb

tsuchm

#!/bin/sh

# Example attachment decoder script. The attachment comes from stdin, and
# the script is expected to output UTF-8 data to stdout. (If the output isn't
# UTF-8, everything except valid UTF-8 sequences are dropped from it.)

# The attachment decoding is enabled by setting:
#
# plugin {
#   fts_decoder = decode2text

tsuchm

dn: cn=mydovecotperson,cn=schema,cn=config
objectClass: olcSchemaConfig
cn: mydovecotperson
olcAttributeTypes: ( 1.3.6.1.4.1.7165.1.1.5.1 NAME 'mailPassword' SYNTAX 1.3.6.1.4.1.1466.115.121.1.15 SINGLE-VALUE )
olcAttributeTypes: ( 1.3.6.1.4.1.7165.1.1.5.2 NAME 'mailForward' SYNTAX 1.3.6.1.4.1.1466.115.121.1.15 )
olcObjectClasses: ( 1.3.6.1.4.1.7165.1.1.6.1 NAME 'myDovecotPerson' SUP top AUXILIARY MAY ( mailPassword $ mailForward ) )

tsuchm

acl all src 0.0.0.0/0.0.0.0
acl localhost src 127.0.0.1/255.255.255.255
acl examplenet src 198.51.100.0/255.255.255.0

http_access allow localhost
http_access allow examplenet
http_access deny  all

# anonymous proxy
visible_hostname unkown

tsuchm

- name: first task
  register: current_task

- set_fact:
    taskset_changed: "{{ current_task.changed }}"

- name: second task
  register: current_task

- set_fact:

tsuchm

# https://github.com/containers/buildah/blob/master/install.md

- name: Add buildah repository key
  apt_key:
    url: https://download.opensuse.org/repositories/devel:kubic:libcontainers:stable/Debian_10/Release.key
    state: present

- name: Enable buildah repository
  apt_repository:
    repo: deb http://download.opensuse.org/repositories/devel:/kubic:/libcontainers:/stable/Debian_10/ /

tsuchm

# https://tonak-ai.hatenablog.com/entry/2019/03/26/124537

import torch
import torch.nn as nn
from torch import optim
import torch.nn.functional as F
from torch.autograd import Variable
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")

n_vocab  = 3

tsuchm

import torch
import torch.nn as nn
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
n_vocab = 3
n_layers = 1
n_embed = 5

def padding_test(x_padding):
    embedding = nn.Embedding(n_vocab, n_embed, padding_idx=x_padding)
    inputs = [[1,1,2,1,1,2,1],[1,1,2]]

tsuchm

def skipfalse(iterable):
    for elem in iterable:
        if elem:
            yield elem

foo=['abc', False, 'de']
print(skipfalse(foo))
print(list(skipfalse(foo)))

# filter() と lambda を使うと上記コードと同じことができる．

tsuchm

#!/usr/bin/python3

import regex as re
import sys
import io

sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')

re_quantity = re.compile(r"""
((?:各|お?好みで|あれば|約|軽く)?