void tryClose() {
        synchronized (LOCK) {

            /* Yes, there is the potential to drop packets
             * because we might close the socket during a
             * request. However the chances are slim and the
             * retry code should ensure the overall request
             * is serviced. The alternative complicates things
             * more than I think is worth it.
             */

// Information about the shape of a Tensor and its type.
struct TF_ShapeAndType {
  // Number of dimensions. -1 indicates unknown rank.
  int num_dims;
  // Array of dimensions. -1 indicates unknown dim.
  int64_t* dims;
  // The data type. May be 0 to denote unknown type.
  TF_DataType dtype;
};

typedef struct TF_ShapeAndType TF_ShapeAndType;

// A list of TF_ShapeAndType elements..

      shape.dims = nullptr;
      continue;
    }
    shape.dims = new int64_t[shape.num_dims];
    for (size_t j = 0; j < shape.num_dims; ++j) {
      shape.dims[j] = c.Value(c.Dim(shape_handle, j));
    }
  }
  if (output_shapes != nullptr) *output_shapes = output_shapes_result;

  // TODO(bgogul): Set output_resource_shapes_and_types.
}

        synchronized (this.LOCK) {

            /*
             * Yes, there is the potential to drop packets
             * because we might close the socket during a
             * request. However the chances are slim and the
             * retry code should ensure the overall request
             * is serviced. The alternative complicates things
             * more than I think is worth it.
             */

    return;
  }

  // Rank is greater than 0, so fill in the values, if known, and
  // -1 for unknown values.
  for (int i = 0; i < num_dims; ++i) {
    auto dim = ic->Dim(shape, i);
    int64_t value = -1;
    if (ic->ValueKnown(dim)) {
      value = ic->Value(dim);
    }
    dims[i] = value;
  }
}

// TF_OperationDescription functions ------------------------------------------

extern "C" {

#undef EXPECT_TF_META

TEST(CAPI, TestTensorAligned) {
  int64_t dim = 7;
  size_t tensor_size_bytes = dim * TF_DataTypeSize(TF_FLOAT);
  TF_Tensor* a = TF_AllocateTensor(
      /*dtype=*/TF_FLOAT, /*dims=*/&dim, /*num_dims=*/1,
      /*len=*/tensor_size_bytes);
  float* data = reinterpret_cast<float*>(TF_TensorData(a));
  for (int i = 0; i < dim; ++i) {
    data[i] = 0;
  }
  if (TF_TensorDefaultAlignment() > 0) {

pkg encoding/base64, var RawURLEncoding *Encoding
pkg encoding/json, method (*Decoder) More() bool
pkg encoding/json, method (*Decoder) Token() (Token, error)
pkg encoding/json, method (Delim) String() string
pkg encoding/json, type Delim int32
pkg encoding/json, type Token interface {}
pkg encoding/json, type UnmarshalTypeError struct, Offset int64
pkg flag, func UnquoteUsage(*Flag) (string, string)

				"application/vnd.xmi+xml",
				"application/vnd.xmpie.cpkg",
				"application/vnd.xmpie.dpkg",
				"application/vnd.xmpie.plan",
				"application/vnd.xmpie.ppkg",
				"application/vnd.xmpie.xlim",
				"application/vnd.yamaha.hv-dic",
				"application/vnd.yamaha.hv-script",
				"application/vnd.yamaha.hv-voice",
				"application/vnd.yamaha.openscoreformat",
				"application/vnd.yamaha.openscoreformat.osfpvg+xml",

		Rules: rules,
	}
	if event := lc.NoncurrentVersionsExpirationLimit(ObjectOpts{Name: "obj"}); event.RuleID != "1" || event.NoncurrentDays != 1 || event.NewerNoncurrentVersions != 1 {
		t.Fatalf("Expected (ruleID, days, lim) to be (\"1\", 1, 1) but got (%s, %d, %d)", event.RuleID, event.NoncurrentDays, event.NewerNoncurrentVersions)
	}
}

func TestMaxNoncurrentBackwardCompat(t *testing.T) {
	testCases := []struct {

## Dependencies

### Added
- cel.dev/expr: v0.15.0
- github.com/antlr4-go/antlr/v4: [v4.13.0](https://github.com/antlr4-go/antlr/tree/v4.13.0)
- github.com/go-task/slim-sprig/v3: [v3.0.0](https://github.com/go-task/slim-sprig/tree/v3.0.0)
- gopkg.in/evanphx/json-patch.v4: v4.12.0

### Changed
- cloud.google.com/go/compute/metadata: v0.2.3 → v0.3.0
- cloud.google.com/go/firestore: v1.11.0 → v1.12.0