// For line-based UI, Print writes to standard error.
	// (Standard output is reserved for report data.)
	Print(...interface{})

	// PrintErr shows an error message to the user.
	// It formats the text as fmt.Print would and adds a final \n if not already present.
	// For line-based UI, PrintErr writes to standard error.
	PrintErr(...interface{})

import org.apache.maven.model.building.ModelProblemCollector;
import org.apache.maven.model.profile.ProfileActivationContext;
import org.apache.maven.utils.Os;

/**
 * Determines profile activation based on the operating system of the current runtime platform.
 *
 * @see ActivationOS
 */
@Named("os")
@Singleton
public class OperatingSystemProfileActivator implements ProfileActivator {

Converts TensorFlow models (SavedModel or MLIR module) to StableHLO MLIR
modules, preserving model structure and signatures. It enables seamless
integration of TensorFlow models into MLIR-based compiler frameworks for further
optimization and deployment.

## C++ APIs

```bash
tf-to-stablehlo-translate \
    --input-path=/path/to/model \
    [--exported-model-signatures=signature1,signature2] \

        assertTrue(instance.isFileSystemCheckIgnoredFor(File("foo/one/two/bar/three")))
        assertTrue(instance.isFileSystemCheckIgnoredFor(File("foo/2/bar/3/4")))
    }

    @Test
    fun `recognizes user-home-based paths against the user home dir`() {
        val instance = createFromPaths(listOf("~/.gradle/foo.bar"))
        assertTrue(instance.isFileSystemCheckIgnoredFor(File(System.getProperty("user.home"), ".gradle/foo.bar")))
    }

      of the converted model and some statistics like arithmetic ops count.
      `debug_info_str` contains the `GraphDebugInfo` proto. When
      `enable_mlir_converter` is True, tuse MLIR-based conversion instead of
      TOCO conversion.
    )pbdoc");
  m.def(
      "ExperimentalMlirQuantizeModel",
      [](py::object input_contents_txt_raw, bool disable_per_channel,

	// For line-based UI, Print writes to standard error.
	// (Standard output is reserved for report data.)
	Print(...interface{})

	// PrintErr shows an error message to the user.
	// It formats the text as fmt.Print would and adds a final \n if not already present.
	// For line-based UI, PrintErr writes to standard error.
	PrintErr(...interface{})

     * Get the list of files that should be generated for the module. Returned files should contain valid Kotlin code.
     *
     * If the content of these files becomes invalid (e.g., because the source declarations they were based on changed), the
     * [KaResolveExtension] must publish an out-of-block modification event via the Analysis API message bus:
     * `KotlinModificationTopics.MODULE_OUT_OF_BLOCK_MODIFICATION`.
     *

                }
            }
        """)

        then:
        fails 'build'
        failure.output.contains "Could not find a Gradle installation to use based on the location of the GradleRunner class: $testKitJar.canonicalPath. Please specify a Gradle runtime to use via GradleRunner.withGradleVersion() or similar."
    }

    def "can use GradleRunner to test"() {
        when:

	}
}

// return the mesh network for the endpoint IP. Empty string if not found.
func (b *EndpointBuilder) endpointNetwork(endpointIP string) network.ID {
	// If we're building the endpoint based on proxy meta, prefer the injected ISTIO_META_NETWORK value.
	if b.metaNetwork != "" {
		return b.metaNetwork
	}

	return b.controller.Network(endpointIP, b.labels)

        // `ktClass` to the original FIR class.
        //
        // Note that this means we don't support providing inheritors based on the dangling file yet, for example if an inheritor was added
        // or removed only in the dangling file.