// keep.

// `value` must point to a string of length `length` bytes.
TF_CAPI_EXPORT extern void TF_SetAttrString(TF_OperationDescription* desc,
                                            const char* attr_name,
                                            const void* value, size_t length);
// `values` and `lengths` each must have lengths `num_values`.
// `values[i]` must point to a string of length `lengths[i]` bytes.

		}
		buf.WriteByte('\n')
	}
}

// Test the line splitter, including some carriage returns but no long lines.
func TestScanLongLines(t *testing.T) {
	// Build a buffer of lots of line lengths up to but not exceeding smallMaxTokenSize.
	tmp := new(bytes.Buffer)
	buf := new(bytes.Buffer)
	lineNum := 0
	j := 0
	for i := 0; i < 2*smallMaxTokenSize; i++ {
		genLine(tmp, lineNum, j, true)

namespace tensorflow {

// Set the shapes and types of the output's handle.
//
// The lengths of the arrays pointed to by `shapes`, `ranks`, and `types` must
// all be equal to `num_shapes_and_types`. If `ranks[i] != -1`, (i.e., if the
// rank is known), then it must be equal to the length of `shapes[i]`; if
// `ranks[i] == 1`, then `shapes[i]` may be nullptr.
//

  private static long fingerprint(byte[] bytes) {
    return fingerprint(bytes, bytes.length);
  }

  /** Convenience method to compute a fingerprint on a subset of a byte array. */
  private static long fingerprint(byte[] bytes, int length) {
    return HASH_FN.hashBytes(bytes, 0, length).asLong();
  }

  /**

        }

        if (compareResult < 0) {
          high = mid - 1
        } else if (compareResult > 0) {
          low = mid + end + 1
        } else {
          // We found a match, but are the lengths equal?
          val publicSuffixBytesLeft = publicSuffixLength - publicSuffixByteIndex
          var labelBytesLeft = labels[currentLabelIndex].size - currentLabelByteIndex

// Returns the length (number of tensors) of the input argument `input_name`
// found in the provided `op`.
TF_CAPI_EXPORT extern int TFE_OpGetInputLength(TFE_Op* op,
                                               const char* input_name,
                                               TF_Status* status);

// Returns the length (number of tensors) of the output argument `output_name`

//
//	var spd sparseDatas = []sparseEntry{
//		{Offset: 2,  Length: 5},  // Data fragment for 2..6
//		{Offset: 18, Length: 3},  // Data fragment for 18..20
//	}
//	var sph sparseHoles = []sparseEntry{
//		{Offset: 0,  Length: 2},  // Hole fragment for 0..1
//		{Offset: 7,  Length: 11}, // Hole fragment for 7..17
//		{Offset: 21, Length: 4},  // Hole fragment for 21..24
//	}
//

            "shape ",
            first_shape.DebugString(), " and another had shape ",
            component_shape.DebugString()));
      } else {
        // Generalize differing axis lengths to "variable"/"unknown".
        for (int axis_index = 0; axis_index < combined_shape.dims();
             ++axis_index) {
          int64_t axis_length = combined_shape.dim_size(axis_index);

### Validation

* Validation for most (or all?) Python **data types**, including:
    * JSON objects (`dict`).
    * JSON array (`list`) defining item types.
    * String (`str`) fields, defining min and max lengths.
    * Numbers (`int`, `float`) with min and max values, etc.

* Validation for more exotic types, like:
    * URL.
    * Email.
    * UUID.
    * ...and others.

}

void TFE_OpSetAttrStringList(TFE_Op* op, const char* attr_name,
                             const void* const* values, const size_t* lengths,
                             int num_values) {
  auto s = tensorflow::unwrap(op)->SetAttrStringList(attr_name, values, lengths,
                                                     num_values);
  if (!s.ok()) {
    LOG(WARNING) << "Unable to set attribute: " << attr_name;
  }
}