token,
        )
    }
    add(FirErrors.DATA_CLASS_INVISIBLE_COPY_USAGE.errorFactory) { firDiagnostic ->
        DataClassInvisibleCopyUsageErrorImpl(
            firDiagnostic as KtPsiDiagnostic,
            token,
        )
    }
    add(FirErrors.DATA_CLASS_INVISIBLE_COPY_USAGE.warningFactory) { firDiagnostic ->
        DataClassInvisibleCopyUsageWarningImpl(

* <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> - ayar yönetimi için.
* <a href="https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/" target="_blank"><code>pydantic-extra-types</code></a> - Pydantic ile birlikte kullanılabilecek ek tipler için.

* <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> - для управління налаштуваннями.
* <a href="https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/" target="_blank"><code>pydantic-extra-types</code></a> - для додаткових типів, що можуть бути використані з Pydantic.

* <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> - for settings management.
* <a href="https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/" target="_blank"><code>pydantic-extra-types</code></a> - for extra types to be used with Pydantic.

Used by Starlette:

* <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> - parametrlərin idarə edilməsi üçün.
* <a href="https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/" target="_blank"><code>pydantic-extra-types</code></a> - Pydantic ilə istifadə edilə bilən əlavə tiplər üçün.

* <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> - fún ètò ìsàkóso.
* <a href="https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/" target="_blank"><code>pydantic-extra-types</code></a> - fún àfikún oríṣi láti lọ pẹ̀lú Pydantic.

Èyí tí Starlette ń lò:

        leads to false negatives in op gradient tests.
    *   Added `tf.config.experimental.get_memory_info`, returning a dict with
        the current and peak memory usage. Deprecated
        `tf.config.experimental.get_memory_usage` in favor of this new function.
    *   Extended `tf.config.experimental.enable_tensor_float_32_execution` to
        control Tensor-Float-32 evaluation in RNNs.

        val generatedTopLevelClassifiers = declarationGenerators
            .asSequence()
            .flatMap {
                // FIXME this function should be called only once during plugin's lifetime, so this usage is not really correct (2)
                it.getTopLevelClassIds()
            }
            .filter { it.packageFqName == packageFqName }
            .map { it.shortClassName }

            password("env.ORG_GRADLE_PROJECT_botGradleGitHubToken", "%github.bot-gradle.token%")
        }

        features {
            // https://www.jetbrains.com/help/teamcity/shared-resources.html#Viewing+Shared+Resources+Usage
            // https://blog.jetbrains.com/teamcity/2013/05/explaining-the-shared-resources-plugin/
            // we only allow 1 promotion job running at the same time to avoid website xml conflicts
            feature {

 * is imported somewhere else and used without directly referencing the object instance
 * itself:
 *
 * ```kt
 * import Foo.bar
 *
 * object Foo { fun String.bar() {} }
 *
 * fun usage() {
 *   "hello".bar() // this call has implicit 'Foo' dispatch receiver
 * }
 * ```
 */
internal val FirResolvedQualifier.isImplicitDispatchReceiver: Boolean