- 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

        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())

            @Suppress("UNCHECKED_CAST")
            val factory = diagnostic.factory as DiagnosticFactory<UnboundDiagnostic>?
            return factory?.defaultRenderer?.render(diagnostic)
                ?: DefaultErrorMessages.getRendererForDiagnostic(diagnostic)?.render(diagnostic)
                ?: ""
        }

    override val psi: PsiElement
        get() = withValidityAssertion { diagnostic.psiElement }

            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() }

# 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
```

        get() = withValidityAssertion {
            val diagnostic = firDiagnostic as KtDiagnostic

            val firDiagnosticRenderer = RootDiagnosticRendererFactory(diagnostic)
            return firDiagnosticRenderer.render(diagnostic)
        }

    override val textRanges: Collection<TextRange>
        get() = withValidityAssertion { firDiagnostic.textRanges }

    @Suppress("UNCHECKED_CAST")
    override val psi: PSI

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.*

            - 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) }
    }

    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