# https://github.com/ossf/scorecard/blob/main/docs/checks.md#maintained
  schedule:
    - cron: '45 9 * * 0'
  push:
    branches: [ "master" ]

# Declare default permissions as read only.
permissions: read-all

jobs:
  analysis:
    name: Scorecard analysis
    runs-on: ubuntu-latest
    permissions:
      # Needed to upload the results to code-scanning dashboard.
      security-events: write

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

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

And then update your `config.py` with:

{* ../../docs_src/settings/app03_an_py310/config.py hl[9] *}

/// tip

The `model_config` attribute is used just for Pydantic configuration. You can read more at [Pydantic: Concepts: Configuration](https://docs.pydantic.dev/latest/concepts/config/).

		memAvailable:      "Available memory on the node",
		readsPerSec:       "Reads per second on a drive",
		writesPerSec:      "Writes per second on a drive",
		readsKBPerSec:     "Kilobytes read per second on a drive",
		writesKBPerSec:    "Kilobytes written per second on a drive",
		readsAwait:        "Average time for read requests to be served on a drive",

	if err != nil {
		t.Skipf("skipping test because opening a unixpacket socket failed: %v", err)
	}

	// Start a goroutine for the server to accept one connection
	// and read all the data sent on the connection,
	// reporting the number of bytes read on ch.
	ch := make(chan int, 1)
	var wg sync.WaitGroup
	wg.Add(1)
	go func() {
		defer wg.Done()

		tot := 0
		defer func() {
			ch <- tot
		}()

            "openapi": "3.1.0",
            "info": {"title": "FastAPI", "version": "0.1.0"},
            "paths": {
                "/dict": {
                    "get": {
                        "summary": "Read Dict",
                        "operationId": "read_dict_dict_get",
                        "responses": {
                            "200": {
                                "description": "Successful Response",

        }
    }

    /**
     * Returns an InputStream to read the content from the cache.
     * If the content is stored in a file, a FileInputStream is returned.
     * Otherwise, a ByteArrayInputStream is returned to read the data from memory.
     *
     * @return an InputStream to read the cached content
     * @throws IOException if an I/O error occurs while creating the InputStream
     */

        You normally wouldn't use this from a file you read in a request.

        To be awaitable, compatible with async, this is run in threadpool.
        """
        return await super().write(data)

    async def read(
        self,
        size: Annotated[
            int,
            Doc(
                """
                The number of bytes to read from the file.
                """
            ),

			t.Fatalf("Impossible read specified: %d %d %d", skipLen, readLen, oSize)
		}

		var cumulativeSum, cumulativeEncSum int64
		toRead := readLen
		readStart := false
		for i, v := range s {
			partOffset := int64(0)
			partDarePkgOffset := int64(0)
			if !readStart && cumulativeSum+v > skipLen {
				// Read starts at the current part
				readStart = true

# Custom Response Classes - File, HTML, Redirect, Streaming, etc.

There are several custom response classes you can use to create an instance and return them directly from your *path operations*.

Read more about it in the [FastAPI docs for Custom Response - HTML, Stream, File, others](https://fastapi.tiangolo.com/advanced/custom-response/).

You can import them directly from `fastapi.responses`:

```python
from fastapi.responses import (
    FileResponse,

  public boolean closed() {
    return closed;
  }

  @Override
  public int read() throws IOException {
    throwIf(closed);
    throwIf(READ_THROWS);
    return in.read();
  }

  @Override
  public int read(byte[] b, int off, int len) throws IOException {
    throwIf(closed);
    throwIf(READ_THROWS);
    return in.read(b, off, len);
  }

  @Override
  public long skip(long n) throws IOException {