- raw_headers
            - render
            - init_headers
            - headers
            - set_cookie
            - delete_cookie

::: fastapi.responses.ORJSONResponse
    options:
        members:
            - charset
            - status_code
            - media_type
            - body
            - background
            - raw_headers
            - render
            - init_headers

            - raw_headers
            - render
            - init_headers
            - headers
            - set_cookie
            - delete_cookie

::: fastapi.responses.ORJSONResponse
    options:
        members:
            - charset
            - status_code
            - media_type
            - body
            - background
            - raw_headers
            - render
            - init_headers

abstract class AbstractDiagnosticsDataClassRenderer : DiagnosticListRenderer() {
    override fun render(file: File, diagnosticList: DiagnosticList, packageName: String, starImportsToAdd: Set<String>) {
        val hlDiagnosticsList = HLDiagnosticConverter.convert(diagnosticList)
        file.writeToFileUsingSmartPrinterIfFileContentChanged { render(hlDiagnosticsList, packageName) }
    }

import org.jetbrains.kotlin.name.FqName
import org.jetbrains.kotlin.name.SpecialNames
import org.jetbrains.kotlin.name.StandardClassIds
import org.jetbrains.kotlin.renderer.DescriptorRenderer
import org.jetbrains.kotlin.renderer.render
import org.jetbrains.kotlin.resolve.calls.inference.CapturedType
import org.jetbrains.kotlin.resolve.descriptorUtil.annotationClass
import org.jetbrains.kotlin.types.*

		diag.Info:    "",           // no special color for info messages
		diag.Warning: "\033[33m",   // yellow
		diag.Error:   "\033[1;31m", // bold red
	}
)

// render turns a Message instance into a string with an option of colored bash output
func render(m diag.Message, colorize bool) string {
	return fmt.Sprintf("%s%v%s [%v]%s %s",
		colorPrefix(m, colorize), m.Type.Level(), colorSuffix(colorize),

    }

    public void addMessage(String message) {
        messages.add(message);
    }

    public String toString() {
        return render("");
    }

    public String render(String indentation) {
        if (messages.size() == 0) {
            return indentation + "There were no validation errors.";
        }

        StringBuilder message = new StringBuilder();

* Import `Jinja2Templates`.
* Create a `templates` object that you can re-use later.
* Declare a `Request` parameter in the *path operation* that will return a template.
* Use the `templates` you created to render and return a `TemplateResponse`, pass the name of the template, the request object, and a "context" dictionary with key-value pairs to be used inside of the Jinja2 template.

```Python hl_lines="4  11  15-18"

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

    def render(self, content: Any) -> bytes:
        assert ujson is not None, "ujson must be installed to use UJSONResponse"
        return ujson.dumps(content, ensure_ascii=False).encode("utf-8")


class ORJSONResponse(JSONResponse):

      placeholder: Tell us what you see!
      value:
      render: shell
    validations:
      required: true
  - type: textarea
    id: logs
    attributes:
      label: Relevant log output
      description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.

# Templating - `Jinja2Templates`

You can use the `Jinja2Templates` class to render Jinja templates.

Read more about it in the [FastAPI docs for Templates](https://fastapi.tiangolo.com/advanced/templates/).

You can import it directly from `fastapi.templating`:

```python
from fastapi.templating import Jinja2Templates
```