<executions>
          <execution>
            <id>create-buildnumber</id>
            <goals>
              <goal>create</goal>
            </goals>
            <configuration>
              <doCheck>false</doCheck>
              <doUpdate>false</doUpdate>
              <revisionOnScmFailure>NON_CANONICAL</revisionOnScmFailure>
            </configuration>
          </execution>
        </executions>
      </plugin>

                                 const int64_t* dims, int num_dims) {
  DCHECK(index >= 0 && index < shape_list->num_items);
  TF_ShapeAndType& shape = shape_list->items[index];
  DCHECK(shape.dims == nullptr) << "Shape at " << index << " is already set!";
  DCHECK(num_dims >= 0) << "Number of dimensions cannot be negative!";
  shape.num_dims = num_dims;
  shape.dims = new int64_t[num_dims];

               "TF_AddFunctionParameter must be called on a TracingContext."));
    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()) {

  control_output_nodes.reserve(ncontrol_outputs);
  for (int i = 0; i < ncontrol_outputs; ++i) {
    control_output_nodes.push_back(&control_outputs[i]->node);
  }

  // Do the actual function creation.
  DCHECK(append_hash_to_fn_name <= 1);
  tensorflow::FunctionDef fdef;
  status->status = tensorflow::GraphToFunctionDef(
      fn_body->graph, fn_name, append_hash_to_fn_name != 0,
      /*set_stateful_from_nodes=*/true,

  }

  // Populate return_nodes
  DCHECK(tf_results->return_nodes.empty());
  tf_results->return_nodes.resize(results.return_nodes.size());
  for (int i = 0; i < results.return_nodes.size(); ++i) {
    tf_results->return_nodes[i] = ToOperation(results.return_nodes[i]);
  }

  // Populate missing unused map keys
  DCHECK(tf_results->missing_unused_key_names.empty());
  DCHECK(tf_results->missing_unused_key_indexes.empty());

  tensorflow::DataType DataType() const override {
    return static_cast<tensorflow::DataType>(TF_OperationOutputType(output_));
  }

  absl::Status Shape(tensorflow::PartialTensorShape* shape) const override {
    DCHECK(shape != nullptr);
    TF_Status status;
    int num_dims = TF_GraphGetTensorNumDims(graph_, output_, &status);
    DCHECK_GE(num_dims, -1);
    TF_RETURN_IF_ERROR(StatusFromTF_Status(&status));

'Moz', 'O'];\n  const upperProp = property.charAt(0).toUpperCase() + property.slice(1);\n\n  for (let i = 0; i < prefixes.length; i++) {\n    const prefix = prefixes[i];\n    const toCheck = prefix ? `${prefix}${upperProp}` : property;\n    if (typeof document.body.style[toCheck] !== 'undefined') {\n      return toCheck;\n    }\n  }\n  return null;\n}\n","import isModifierEnabled from '../utils/isModifierEnabled';\nimport getSupportedPropertyName from '../utils/getSupportedPropertyName';\n\n/**\n...

================================================================

gopkg.in/check.v1
https://gopkg.in/check.v1
----------------------------------------------------------------
Gocheck - A rich testing framework for Go
 
Copyright (c) 2010-2013 Gustavo Niemeyer <******@****.***>

All rights reserved.

Redistribution and use in source and binary forms, with or without