TF_RETURN_IF_ERROR(operation->SetAttrType("dtype", dtype));
    if (!shape.unknown_rank()) {
      TF_RETURN_IF_ERROR(operation->SetAttrShape(
          "shape", reinterpret_cast<int64_t*>(shape.dim_sizes().data()),
          shape.dims()));
    }
    int num_outputs = 1;
    std::vector<AbstractTensorHandle*> outputs(num_outputs);
    TF_RETURN_IF_ERROR(operation->Execute(

TF_CAPI_EXPORT extern void TF_DeleteShapeAndTypeListArray(
    TF_ShapeAndTypeList** shape_list_array, int num_items);

// Infer shapes for the given `op`. The arguments mimic the arguments of the
// `shape_inference::InferenceContext` constructor. Note the following:
//   - The inputs of the `op` are not used for shape inference. So, it is
//     OK to not have the inputs properly set in `op`. See `input_tensors`

    (I hope that this workaround does not cause its own problems in the future.)
-->
<super-source path="super"/>

<inherits name="com.google.common.annotations.Annotations" />
<inherits name="com.google.common.escape.Escape" />
<inherits name="com.google.gwt.core.Core" />
<inherits name="com.google.gwt.user.User" />

  <inherits name="com.google.common.base.Base" />
  <inherits name="com.google.common.cache.Cache" />
  <inherits name="com.google.common.collect.Collect" />
  <inherits name="com.google.common.escape.Escape" />
  <inherits name="com.google.common.html.Html" />
  <inherits name="com.google.common.io.Io" />
  <inherits name="com.google.common.math.Math" />
  <inherits name="com.google.common.net.Net" />

    (I hope that this workaround does not cause its own problems in the future.)
-->
<super-source path="super"/>

<inherits name="com.google.common.annotations.Annotations" />
<inherits name="com.google.common.escape.Escape" />
<inherits name="com.google.gwt.core.Core" />
<inherits name="com.google.gwt.junit.JUnit" />
<inherits name="com.google.gwt.user.User" />

# TODO(user): Resolve cycles

NAMESPACE com.google.common.collect.testing
NAMESPACE com.google.common.collect.testing.google
NAMESPACE com.google.common.escape
NAMESPACE com.google.common.escape.testing
NAMESPACE com.google.common.io
NAMESPACE com.google.common.net
NAMESPACE com.google.common.testing

# Allow our dependencies for now.
NAMESPACE junit.framework
NAMESPACE org.junit

# ***** REAL CYCLES *****

    return nullptr;
  }
  tensorflow::PartialTensorShape partial_shape;
  if (shape.num_dims != -1) {
    DCHECK(shape.dim_sizes != nullptr);
    Status status = tensorflow::PartialTensorShape::MakePartialShape(
        reinterpret_cast<int64_t*>(shape.dim_sizes), shape.num_dims,
        &partial_shape);
    if (!status.ok()) {
      tsl::Set_TF_Status_from_Status(s, status);
      return nullptr;

 * or implied. See the License for the specific language governing permissions and limitations under
 * the License.
 */

package com.google.common.escape;

import static com.google.common.base.Preconditions.checkNotNull;

import com.google.common.annotations.GwtCompatible;
import java.util.Map;
import javax.annotation.CheckForNull;

		`select * from s3object where Name like 'abc' escape 't'`,
		`select * from s3object where Name like 'a\%' escape '?'`,
		`select * from s3object where Name not like 'abc\' escape '?'`,
		`select * from s3object where Name like 'a\%' escape LOWER('?')`,
		`select * from s3object where Name not like LOWER('Bc\') escape '?'`,
	}
	for i, tc := range cases {
		err := p.ParseString(tc, &s)

      break;
    case tensorflow::AttrValue::kShape: {
      const auto& tensor_shape = default_value.shape();
      if (tensor_shape.unknown_rank()) {
        TFE_OpSetAttrShape(op, attr_name, nullptr, -1, status);
      } else {
        const auto num_dims = tensor_shape.dim_size();
        std::unique_ptr<int64_t[]> dims(new int64_t[num_dims]);