/// tip

For this to work, you need to `pip install python-dotenv`.

///

### The `.env` file { #the-env-file }

You could have a `.env` file with:

```bash
ADMIN_EMAIL="******@****.***"
APP_NAME="ChimichangApp"
```

### Read settings from `.env` { #read-settings-from-env }

And then update your `config.py` with:

//// tab | Pydantic v2

#!/usr/bin/env bash

# shellcheck disable=SC2120
exit_1() {
	cleanup

	echo "minio1 ============"
	cat /tmp/minio1_1.log
	echo "minio2 ============"
	cat /tmp/minio2_1.log

	exit 1
}

cleanup() {
	echo -n "Cleaning up instances of MinIO ..."
	pkill -9 minio || sudo pkill -9 minio
	rm -rf /tmp/minio{1,2}
	echo "done"
}

# Function to convert number to corresponding alphabet
num_to_alpha() {
	local num=$1

#!/usr/bin/env bash

# shellcheck disable=SC2120
exit_1() {
	cleanup

	echo "minio1 ============"
	cat /tmp/minio1_1.log
	echo "minio2 ============"
	cat /tmp/minio2_1.log
	echo "minio3 ============"
	cat /tmp/minio3_1.log
	echo "minio4 ============"
	cat /tmp/minio4_1.log
	exit 1
}

cleanup() {
	echo -n "Cleaning up instances of MinIO ..."
	pkill -9 minio || sudo pkill -9 minio
	pkill -9 kes || sudo pkill -9 kes

# vim: filetype=bash
#
# Copyright 2022 The TensorFlow Authors. All Rights Reserved.
#
# 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, software
# distributed under the License is distributed on an "AS IS" BASIS,

#!/usr/bin/env bash

# shellcheck disable=SC2120
exit_1() {
	cleanup

	echo "minio1 ============"
	cat /tmp/minio1_1.log
	cat /tmp/minio1_2.log
	echo "minio2 ============"
	cat /tmp/minio2_1.log
	cat /tmp/minio2_2.log
	echo "minio3 ============"
	cat /tmp/minio3_1.log
	cat /tmp/minio3_2.log

	exit 1
}

cleanup() {
	echo "Cleaning up instances of MinIO"
	pkill minio
	pkill -9 minio

#!/usr/bin/env bash

TESTS_RUN_STATUS=1

function cleanup() {
	echo "Cleaning up MinIO deployment"
	docker compose -f "${DOCKER_COMPOSE_FILE}" down --volumes
	for container in $(docker ps -q); do
		echo Removing docker $container
		docker rm -f $container >/dev/null 2>&1
		docker wait $container
	done
}

function cleanup_and_prune() {
	cleanup
	docker system prune --volumes --force
	docker image prune --all --force
}

#!/usr/bin/env bash

set -x

trap 'catch $LINENO' ERR

# shellcheck disable=SC2120
catch() {
	if [ $# -ne 0 ]; then
		echo "error on line $1"
		for site in sitea siteb sitec sited; do
			echo "$site server logs ========="
			cat "/tmp/${site}_1.log"
			echo "==========================="
			cat "/tmp/${site}_2.log"
		done
	fi

	echo "Cleaning up instances of MinIO"
	pkill minio
	pkill -9 minio
	rm -rf /tmp/multisitea

///

### 事前ステップの戦略例

これは**システムを**デプロイする方法に**大きく依存**するだろうし、おそらくプログラムの起動方法や再起動の処理などにも関係してくるでしょう。

考えられるアイデアをいくつか挙げてみます：

* アプリコンテナの前に実行されるKubernetesのInitコンテナ
* 事前のステップを実行し、アプリケーションを起動するbashスクリプト
    * 利用するbashスクリプトを起動／再起動したり、エラーを検出したりする方法は以前として必要になるでしょう。

/// tip

<!-- NOTE: the current version of docker.md is outdated compared to English one. -->

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package zip

import (
	"bufio"
	"encoding/binary"
	"errors"
	"fmt"
	"hash"
	"hash/crc32"
	"internal/godebug"
	"io"
	"io/fs"
	"os"
	"path"
	"path/filepath"
	"slices"
	"strings"
	"sync"
	"time"
)

var zipinsecurepath = godebug.New("zipinsecurepath")

var (

build:rbe_linux_cuda_nvcc --repo_env TF_NCCL_USE_STUB=1

build:rbe_win_base --config=rbe_base
build:rbe_win_base --config=clang_local
build:rbe_win_base --shell_executable=C:\\tools\\msys64\\usr\\bin\\bash.exe
build:rbe_win_base --remote_instance_name=projects/tensorflow-testing/instances/windows
# Don't build the python zip archive in the RBE build.
build:rbe_win_base --remote_download_minimal