}
        try {
            return current.getCanonicalFile();
        } catch (IOException e) {
            throw new RuntimeException(String.format("Could not canonicalise '%s'.", current), e);
        }
    }

    public TestFile file(Object... path) {
        try {
            return new TestFile(this, path);
        } catch (RuntimeException e) {

			},
		},
		intermediates: [][]constraintsSpec{
			{
				{},
			},
		},
		leaf: leafSpec{
			sans: []string{"email:\"\\f\\o\\o\"@example.com"},
		},
		noOpenSSL: true, // OpenSSL doesn't canonicalise email addresses before matching
	},

	// #43: limiting email addresses to a host works.
	{
		roots: []constraintsSpec{
			{
				ok: []string{"email:example.com"},
			},
		},

  (TF_LogOp:$src (TF_SoftmaxOp $arg)), (TF_LogSoftmaxOp:$dest $arg), [],
  [(CopyAttrs $src, $dest)]>;

// Canonicalize: Log(1.0 + x) to Log1p(x)
//
// We currently do this rewrite only if the constant `1` is a scalar, because
// it is safely broadcastable to any shape. To be able to canonicalize when
// constant values is not a scalar, we have to first prove that it is

// RUN: tfr-opt %s -canonicalize="test-convergence" -verify-diagnostics -split-input-file | FileCheck %s

// Tests for ops with canonicalization patterns.

// CHECK-LABEL: get_real_shape
func.func @get_real_shape(%arg0: tensor<1x2xf32>) -> tensor<2xindex> {
  %0 = "tfr.cast"(%arg0) : (tensor<1x2xf32>) -> !tfr.tensor
  %1 = tfr.get_shape %0 -> !shape.shape
  %2 = shape.to_extent_tensor %1 : !shape.shape -> tensor<2xindex>
  func.return %2 : tensor<2xindex>

// RUN: tf-opt -canonicalize=test-convergence -tfl-runtime-verify -split-input-file -verify-diagnostics %s | FileCheck %s

// CHECK-LABEL: @squeeze_folder
func.func @squeeze_folder(%arg0 : tensor<?x?xf32>) -> tensor<?x?xf32> {
  %0 = "tfl.squeeze"(%arg0) : (tensor<?x?xf32>) -> tensor<?x?xf32>
  // CHECK: return %arg0
  func.return %0 : tensor<?x?xf32>
}

// -----

// CHECK-LABEL: @squeeze_folder

// RUN: tf-opt %s -pass-pipeline='builtin.module(func.func(canonicalize{test-convergence}))' | FileCheck %s

// CHECK-LABEL: func @tfAssertTrue
func.func @tfAssertTrue(%arg0: tensor<1x1x6x2xf32>) {
  %t = arith.constant dense<true> : tensor<i1>
  // CHECK-NOT: tf.Assert
  "tf.Assert"(%t, %arg0) {summarize = 3} : (tensor<i1>, tensor<1x1x6x2xf32>) -> ()
  func.return
}

// CHECK-LABEL: func @tfAssertFalse

A. Unique TensorFlower <******@****.***> 1673734256 -0800

def dir = new File('.')
assert dir.canonicalFile == expectedDir.canonicalFile
assert dir.directory
def classesDir = new File("build/classes1")
assert classesDir.mkdirs()
assert classesDir.directory
"""

        project2.file('build.gradle') << """
def expectedDir = new File(new URI('${project2.toURI()}'))
def dir = new File('.')
assert dir.canonicalFile == expectedDir.canonicalFile
assert dir.directory

            return false;
        }
        return true;
    }

    private InstallationLocation canonicalize(InstallationLocation location) {
        final File file = location.getLocation();
        try {
            final File canonicalFile = file.getCanonicalFile();
            final File javaHome = findJavaHome(canonicalFile);
            return location.withLocation(javaHome);
        } catch (IOException e) {

          lift_variables,
          include_variables_in_initializers,
          upgrade_legacy,
          show_debug_info,
      )

    if canonicalize:
      mlir = pywrap_mlir.experimental_run_pass_pipeline(
          mlir, 'canonicalize', show_debug_info
      )
    print(mlir)