inputs=None,
          outputs={'z': tensor_info_z},
          method_name='some_function'))
  }, None, None


if __name__ == '__main__':
  common_v1.set_tf_options()

          outputs={'r': tensor_info_r},
          method_name='some_function'))
  }, tf.initializers.global_variables(), None


if __name__ == '__main__':
  common_v1.set_tf_options()

          inputs={'x': tensor_info_x},
          outputs={'r': tensor_info_r},
          method_name='some_function'))
  }, None, None


if __name__ == '__main__':
  common_v1.set_tf_options()

  # Create two signatures that share the same variable.
  return {'key': signature_def, 'key2': signature_def2}, None, None


if __name__ == '__main__':
  common_v1.set_tf_options()

// Copyright 2020 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package fs_test

import (
	"errors"
	. "io/fs"
	"os"
	"testing"
	"testing/fstest"
	"time"
)

type readDirOnly struct{ ReadDirFS }

func (readDirOnly) Open(name string) (File, error) { return nil, ErrNotExist }

func TestReadDir(t *testing.T) {

//    TFCOMPILE_CPP_CLASS : Name of the C++ class generated by tfcompile.
//    TFCOMPILE_NAME      : Name for tests and benchmarks.
//
// The tf_library bazel macro in tfcompile.bzl performs the token rewriting, and
// generates a cc_test rule for you.

// These macros must be defined before eigen files are included.
#define EIGEN_USE_THREADS
#define EIGEN_USE_CUSTOM_THREAD_POOL

// clang-format off

// Copyright 2020 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package fs_test

import (
	. "io/fs"
	"os"
	"path"
	"slices"
	"strings"
	"testing"
)

var globTests = []struct {
	fs              FS
	pattern, result string
}{
	{os.DirFS("."), "glob.go", "glob.go"},
	{os.DirFS("."), "gl?b.go", "glob.go"},

          inputs={'x': tensor_info_x},
          outputs={'r': tensor_info_r},
          method_name='some_function'))
  }, None, None


if __name__ == '__main__':
  common_v1.set_tf_options()

          inputs={'x': tensor_info_x},
          outputs={'r': tensor_info_r},
          method_name='some_function'))
  }, None, None


if __name__ == '__main__':
  common_v1.set_tf_options()

  @tf.function(input_signature=[tf.TensorSpec([], tf.float32)])
  def some_function(self, x):
    return x + self.v42 + self.c43


if __name__ == '__main__':