return AnalysisApiFe10TestConfiguratorFactory.INSTANCE.createConfigurator(
      new AnalysisApiTestConfiguratorFactoryData(
        FrontendKind.Fe10,
        TestModuleKind.Source,
        AnalysisSessionMode.Normal,
        AnalysisApiMode.Ide
      )
    );
  }

  @Test
  public void testAllFilesPresentInAnnotationsOnDeclaration() {

*  goodwill, work stoppage, computer failure or malfunction, or any    *
*  and all other commercial damages or losses, even if such party      *
*  shall have been informed of the possibility of such damages. This   *
*  limitation of liability shall not apply to liability for death or   *
*  personal injury resulting from such party's negligence to the       *

	hr, err = er.healObject(healCtx, bucket, object, versionID, opts)
	if errors.Is(err, errFileCorrupt) && opts.ScanMode != madmin.HealDeepScan {
		// Instead of returning an error when a bitrot error is detected
		// during a normal heal scan, heal again with bitrot flag enabled.
		opts.ScanMode = madmin.HealDeepScan
		hr, err = er.healObject(healCtx, bucket, object, versionID, opts)
	}
	return hr, toObjectErr(err, bucket, object, versionID)
}

    * This allows adding extra code after a dependency is done. It can be used, for example, to close database connections.
    * Dependencies with `yield` can be normal or `async`, **FastAPI** will run normal dependencies in a threadpool.
    * They can be combined with normal dependencies.
    * It's possible to have arbitrary trees/levels of dependencies with `yield` and exit steps are handled in the correct order automatically.

</p>

<p>
The form <code>a … b</code> represents the set of characters from
<code>a</code> through <code>b</code> as alternatives. The horizontal
ellipsis <code>…</code> is also used elsewhere in the spec to informally denote various
enumerations or code snippets that are not further specified. The character <code>…</code>
(as opposed to the three characters <code>...</code>) is not a token of the Go
language.
</p>

<p>

        *   `tf.raw_ops.Bucketize` op on CPU.
        *   `tf.where` op for data types
            `tf.int32`/`tf.uint32`/`tf.int8`/`tf.uint8`/`tf.int64`.
        *   `tf.random.normal` op for output data type `tf.float32` on CPU.
        *   `tf.random.uniform` op for output data type `tf.float32` on CPU.
        *   `tf.random.categorical` op for output data type `tf.int64` on CPU.