Next, it 🤖 takes the first task to finish (let's say, our "slow-file" 📝) and continues whatever it had to do with it.

```

### `HTMLResponse`

Takes some text or bytes and returns an HTML response, as you read above.

### `PlainTextResponse`

Takes some text or bytes and returns an plain text response.

```Python hl_lines="2  7  9"
{!../../../docs_src/custom_response/tutorial005.py!}
```

### `JSONResponse`

Takes some data and returns an `application/json` encoded response.

# Dependencies - `Depends()` and `Security()`

## `Depends()`

Dependencies are handled mainly with the special function `Depends()` that takes a callable.

Here is the reference for it and its parameters.

You can import it directly from `fastapi`:

```python
from fastapi import Depends
```

::: fastapi.Depends

## `Security()`

This parameter must be something like a function.

You **don't call it** directly (don't add the parenthesis at the end), you just pass it as a parameter to `Depends()`.

And that function takes parameters in the same way that *path operation functions* do.

!!! tip
    You'll see what other "things", apart from functions, can be used as dependencies in the next chapter.

 */
class OpenJSSEPlatform private constructor() : Platform() {
  private val provider: Provider = org.openjsse.net.ssl.OpenJSSE()

  // Selects TLSv1.3 so we are specific about our intended version ranges (not just 1.3)
  // and because it's a common pattern for VMs to have differences between supported and
  // defaulted versions for TLS based on what is requested.

      RangeListCodePointSet(
        ranges =
          mutableListOf<IntRange>()
            .apply {
              addAll(readCodePointSet(base / "rfc3454.C.1.2.txt").ranges)
              addAll(readCodePointSet(base / "rfc3454.C.2.2.txt").ranges)
              addAll(readCodePointSet(base / "rfc3454.C.3.txt").ranges)
              addAll(readCodePointSet(base / "rfc3454.C.4.txt").ranges)

  return result.toMap()
}

/**
 * Modifies [ranges] to combine any adjacent [MappedRange.InlineDelta] of same size to single entry.
 * @returns same instance of [ranges] for convenience
 */
internal fun mergeAdjacentDeltaMappedRanges(ranges: MutableList<MappedRange>): MutableList<MappedRange> {
  var i = 0
  while (i < ranges.size) {
    val curr = ranges[i]
    if (curr is MappedRange.InlineDelta) {
      val j = i + 1

    "X-Amz-Date": "20211008T004636Z",
    "X-Amz-Decoded-Content-Length": "207",
    "X-Amz-Server-Side-Encryption": "aws:kms"
  },
  "responseHeader": {
    "Accept-Ranges": "bytes",
    "Content-Length": "0",
    "ETag": "4939450d1beec11e10a91ee7700bb593",
    "Server": "MinIO",
    "Strict-Transport-Security": "max-age=31536000; includeSubDomains",
    "Vary": "Origin,Accept-Encoding",

    assertThat((nameprep.unassigned as RangeListCodePointSet).ranges).hasSize(396)
    assertThat((nameprep.mapping as MappingListCodePointMapping).mappings).hasSize(1398)
    assertThat((nameprep.prohibitSet as RangeListCodePointSet).ranges).hasSize(78)
    assertThat((nameprep.randalcatSet as RangeListCodePointSet).ranges).hasSize(34)
    assertThat((nameprep.lcatSet as RangeListCodePointSet).ranges).hasSize(360)
  }

  @Test fun readCodePointSet() {

1. Creating a PR and observing the presubmit test results
2. Running the CI scripts locally, as explained below
3. **Google employees only**: Google employees can use an internal-only tool
called "MLCI" that makes testing more convenient: it can execute any full CI job
against a pending change. Search for "MLCI" internally to find it.

You may invoke a CI script of your choice by following these instructions:

```bash