@app.get("/items/{item_id}")
def read_item(item_id: int, q: str | None = None):
    return {"item_id": item_id, "q": q}
```

### Dockerfile { #dockerfile }

이제 같은 프로젝트 디렉터리에 다음 내용으로 `Dockerfile` 파일을 만듭니다:

```{ .dockerfile .annotate }
# (1)!
FROM python:3.14

# (2)!
WORKDIR /code

# (3)!
COPY ./requirements.txt /code/requirements.txt

# (4)!

@app.get("/items/{item_id}")
def read_item(item_id: int, q: str | None = None):
    return {"item_id": item_id, "q": q}
```

### Dockerfile { #dockerfile }

現在在同一個專案目錄建立一個 `Dockerfile` 檔案，內容如下：

```{ .dockerfile .annotate }
# (1)!
FROM python:3.14

# (2)!
WORKDIR /code

# (3)!
COPY ./requirements.txt /code/requirements.txt

# (4)!

@app.get("/items/{item_id}")
def read_item(item_id: int, q: str | None = None):
    return {"item_id": item_id, "q": q}
```

### Dockerfile { #dockerfile }

同じプロジェクト・ディレクトリに`Dockerfile`というファイルを作成します：

```{ .dockerfile .annotate }
# (1)!
FROM python:3.14

# (2)!
WORKDIR /code

# (3)!
COPY ./requirements.txt /code/requirements.txt

# (4)!

# Settings and configurations that are common for all containers
x-minio-common: &minio-common
  build:
    context: ../../.
    dockerfile: Dockerfile
  command: server --console-address ":9001" http://minio{1...4}/data{1...8}
  expose:
    - "9000"
    - "9001"
  environment:
    MINIO_CI_CD: 1
  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

To use MinIO community edition, you have two options:

1. **Install from source** using `go install github.com/minio/minio@latest` (recommended)
2. **Build a Docker image** from the provided Dockerfile

See the sections below for detailed instructions on each method.

### Legacy Binary Releases

Historical pre-compiled binary releases remain available for reference but are no longer maintained:

# Note: This does not work for `docker cp` commands.
# For a little more detail, see:
# https://github.com/tensorflow/tensorflow/blob/cc3006af6fea8d2a1360b3b5e65f9d14bbdb7094/ci/devinfra/docker/windows2022/Dockerfile#L196
TFCI_OUTPUT_WIN_DOCKER_DIR='C:/drive_t'

# Docker on Windows doesn't support the `host` networking mode, and so
# port-forwarding is required for the container to detect it's running on GCE.

		--build-arg RELEASE="${release}" \
		-t "registry.min.dev/community/minio:latest" \
		-t "registry.min.dev/community/minio:${release}" \
		--platform=linux/arm64,linux/amd64,linux/ppc64le \
		-f Dockerfile .

	docker buildx prune -f

	sudo sysctl net.ipv6.conf.all.disable_ipv6=0
}

    Refer to the
    [CPU-only developer Dockerfile](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu.Dockerfile)
    and
    [GPU developer Dockerfile](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu.Dockerfile)
    for the required packages. Alternatively, use the said

	@echo "Building minio docker image '$(TAG)'"
	@docker build -q --no-cache -t $(TAG) --build-arg RELEASE=$(VERSION) . -f Dockerfile.hotfix

docker: build ## builds minio docker container
	@echo "Building minio docker image '$(TAG)'"
	@docker build -q --no-cache -t $(TAG) . -f Dockerfile

test-resiliency: build
	@echo "Running resiliency tests"

        # Handle comments based on language
        if block_language in {
            "python",
            "py",
            "sh",
            "bash",
            "dockerfile",
            "requirements",
            "gitignore",
            "toml",
            "yaml",
            "yml",
            "hash-style-comments",
        }: