import java.util.HashMap;
import java.util.List;
import java.util.Map;

import org.apache.maven.artifact.InvalidRepositoryException;
import org.apache.maven.artifact.repository.ArtifactRepository;
import org.apache.maven.bridge.MavenRepositorySystem;
import org.apache.maven.settings.Mirror;
import org.apache.maven.settings.Proxy;
import org.apache.maven.settings.Repository;
import org.apache.maven.settings.Server;

import java.io.FileNotFoundException;
import java.net.URISyntaxException;
import java.net.URL;
import java.util.Arrays;

import org.apache.maven.artifact.repository.ArtifactRepository;
import org.apache.maven.bridge.MavenRepositorySystem;
import org.apache.maven.execution.DefaultMavenExecutionRequest;
import org.apache.maven.execution.DefaultMavenExecutionResult;
import org.apache.maven.execution.MavenSession;

import org.apache.maven.api.di.Named;
import org.apache.maven.api.di.Singleton;
import org.apache.maven.artifact.repository.ArtifactRepository;
import org.apache.maven.artifact.repository.Authentication;
import org.apache.maven.bridge.MavenRepositorySystem;
import org.apache.maven.execution.MavenExecutionRequest;
import org.apache.maven.settings.Mirror;
import org.eclipse.aether.repository.AuthenticationContext;

      TypeID::get<TF::ModOp>(),

      // MatrixDiagPartV3 should use the MLIR implementation due to performance.
      TypeID::get<TF::MatrixDiagPartV3Op>(),

      // Ops that are legalized in the old bridge using MlirXlaOpKernel
      TypeID::get<TF::AbsOp>(),
      TypeID::get<TF::AtanOp>(),
      TypeID::get<TF::AvgPool3DOp>(),
      TypeID::get<TF::BiasAddGradOp>(),
      TypeID::get<TF::CeilOp>(),

       "function."},
      {"out_session_module", &flags->out_session_module,
       "Output session module proto."},
      {"mlir_components", &flags->mlir_components,
       "The MLIR components to enable. Currently only Bridge is supported."},
      {"experimental_quantize", &flags->experimental_quantize,
       "If set, quantization passes will run and dump the result before HLO "
       "code generation."},

#include "tensorflow/compiler/mlir/lite/stablehlo/transforms/smuggle_disallowed_ops.h"
#include "tensorflow/compiler/mlir/lite/stablehlo/transforms/tf_stablehlo_pass.h"
#include "tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/passes.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/passes.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/tf_saved_model_passes.h"
#include "tensorflow/compiler/mlir/tf2xla/transforms/passes.h"

	"log/slog/internal"
	"runtime"
	"sync/atomic"
	"time"
)

var defaultLogger atomic.Pointer[Logger]

var logLoggerLevel LevelVar

// SetLogLoggerLevel controls the level for the bridge to the [log] package.
//
// Before [SetDefault] is called, slog top-level logging functions call the default [log.Logger].
// In that mode, SetLogLoggerLevel sets the minimum level for those calls.

 * [ScribeJava](https://github.com/scribejava/scribejava): Simple OAuth library for Java
 * [Stetho](https://github.com/facebook/stetho): Stetho is a debug bridge for Android applications.
 * [Thrifty](https://github.com/Microsoft/thrifty): An implementation of Apache Thrift for Android.

      compilation_result.get());

  if (combined_bridge_status.ok()) {
    VLOG(1) << "Successfully compiled MLIR computation to XLA HLO using "
               "Combined MLIR and XlaBuilder Bridge.";

    DumpHloCompilationResult("legalize_tf_combined_bridge.hlo",
                             compilation_result.get())
        .IgnoreError();
    return *compilation_result;
  }

}

def XlaValidateInputsPass : Pass<"tf-xla-validate-inputs", "ModuleOp"> {
  let summary = "Validtes inputs to the TF CPU/GPU bridge";
  let description = [{
    This pass checks that the IR has valid input to CPU/GPU TF/XLA bridge.
  }];
  let constructor = "TFDevice::CreateXlaValidateInputsPass()";
  let dependentDialects = ["tf_device::TensorFlowDeviceDialect"];