content: /*
   * Licensed to the Apache Software Foundation (ASF) under one or more
   * contributor license agreements.  See the NOTICE file distributed with
   * this work for additional information regarding copyright ownership.
   * The ASF licenses this file to You under the Apache License, Version 2.0
   * (the "License"); you may not use this file except in compliance with
   * the License.  You may obtain a copy of the License at
   *
   *    http://www.apache.org/licenses/LICENSE-2.0
   *
   * Unless required by applicable law or agreed to in writing, software
   * distributed under the License is distributed on an "AS IS" BASIS,
   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   * See the License for the specific language governing permissions and
   * limitations under the License.
   */
  package org.apache.arrow.flatbuf;
  
  import com.google.flatbuffers.BaseVector;
  import com.google.flatbuffers.BooleanVector;
  import com.google.flatbuffers.ByteVector;
  import com.google.flatbuffers.Constants;
  import com.google.flatbuffers.DoubleVector;
  import com.google.flatbuffers.FlatBufferBuilder;
  import com.google.flatbuffers.FloatVector;
  import com.google.flatbuffers.IntVector;
  import com.google.flatbuffers.LongVector;
  import com.google.flatbuffers.ShortVector;
  import com.google.flatbuffers.StringVector;
  import com.google.flatbuffers.Struct;
  import com.google.flatbuffers.Table;
  import com.google.flatbuffers.UnionVector;
  import java.nio.ByteBuffer;
  import java.nio.ByteOrder;
  
  /**
   * ----------------------------------------------------------------------
   * Data structures for dense tensors
   * Shape data for a single axis in a tensor
   */
  @SuppressWarnings("unused")
  public final class TensorDim extends Table {
    public static void ValidateVersion() { Constants.FLATBUFFERS_25_2_10(); }
    public static TensorDim getRootAsTensorDim(ByteBuffer _bb) { return getRootAsTensorDim(_bb, new TensorDim()); }
    public static TensorDim getRootAsTensorDim(ByteBuffer _bb, TensorDim obj) { _bb.order(ByteOrder.LITTLE_ENDIAN); return (obj.__assign(_bb.getInt(_bb.position()) + _bb.position(), _bb)); }
    public void __init(int _i, ByteBuffer _bb) { __reset(_i, _bb); }
    public TensorDim __assign(int _i, ByteBuffer _bb) { __init(_i, _bb); return this; }
  
    /**
     * Length of dimension
     */
    public long size() { int o = __offset(4); return o != 0 ? bb.getLong(o + bb_pos) : 0L; }
    /**
     * Name of the dimension, optional
     */
    public String name() { int o = __offset(6); return o != 0 ? __string(o + bb_pos) : null; }
    public ByteBuffer nameAsByteBuffer() { return __vector_as_bytebuffer(6, 1); }
    public ByteBuffer nameInByteBuffer(ByteBuffer _bb) { return __vector_in_bytebuffer(_bb, 6, 1); }
  
    public static int createTensorDim(FlatBufferBuilder builder,
        long size,
        int nameOffset) {
      builder.startTable(2);
      TensorDim.addSize(builder, size);
      TensorDim.addName(builder, nameOffset);
      return TensorDim.endTensorDim(builder);
    }
  
    public static void startTensorDim(FlatBufferBuilder builder) { builder.startTable(2); }
    public static void addSize(FlatBufferBuilder builder, long size) { builder.addLong(0, size, 0L); }
    public static void addName(FlatBufferBuilder builder, int nameOffset) { builder.addOffset(1, nameOffset, 0); }
    public static int endTensorDim(FlatBufferBuilder builder) {
      int o = builder.endTable();
      return o;
    }
  
    public static final class Vector extends BaseVector {
      public Vector __assign(int _vector, int _element_size, ByteBuffer _bb) { __reset(_vector, _element_size, _bb); return this; }
  
      public TensorDim get(int j) { return get(new TensorDim(), j); }
      public TensorDim get(TensorDim obj, int j) {  return obj.__assign(__indirect(__element(j), bb), bb); }
    }
  }
  