continue
        }

        if (annotationClass.fqNameSafe != StandardNames.FqNames.parameterName) {
            append('@')
            val rendered = if (renderAnnotationWithShortNames) annotation.fqName?.shortName()?.render() else annotation.fqName?.render()
            append(rendered ?: "ERROR")

            val valueArguments = annotation.allValueArguments.entries.sortedBy { it.key.asString() }

            - 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

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.*

        KtDiagnosticClassRenderer.render(path.resolve("KtFirDiagnostics.kt"), diagnosticList, packageName, emptySet())
        KtDiagnosticClassImplementationRenderer.render(path.resolve("KtFirDiagnosticsImpl.kt"), diagnosticList, packageName, emptySet())
        FirDiagnosticToKtDiagnosticConverterRenderer.render(path.resolve("KtFirDataClassConverters.kt"), diagnosticList, packageName, emptySet())

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) }
    }

		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),

    share a link to Colab/Jupyter/any notebook. 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

* 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"

    }

    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();