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;
  
  @SuppressWarnings("unused")
  public final class SparseTensor extends Table {
    public static void ValidateVersion() { Constants.FLATBUFFERS_25_2_10(); }
    public static SparseTensor getRootAsSparseTensor(ByteBuffer _bb) { return getRootAsSparseTensor(_bb, new SparseTensor()); }
    public static SparseTensor getRootAsSparseTensor(ByteBuffer _bb, SparseTensor 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 SparseTensor __assign(int _i, ByteBuffer _bb) { __init(_i, _bb); return this; }
  
    public byte typeType() { int o = __offset(4); return o != 0 ? bb.get(o + bb_pos) : 0; }
    /**
     * The type of data contained in a value cell.
     * Currently only fixed-width value types are supported,
     * no strings or nested types.
     */
    public Table type(Table obj) { int o = __offset(6); return o != 0 ? __union(obj, o + bb_pos) : null; }
    /**
     * The dimensions of the tensor, optionally named.
     */
    public org.apache.arrow.flatbuf.TensorDim shape(int j) { return shape(new org.apache.arrow.flatbuf.TensorDim(), j); }
    public org.apache.arrow.flatbuf.TensorDim shape(org.apache.arrow.flatbuf.TensorDim obj, int j) { int o = __offset(8); return o != 0 ? obj.__assign(__indirect(__vector(o) + j * 4), bb) : null; }
    public int shapeLength() { int o = __offset(8); return o != 0 ? __vector_len(o) : 0; }
    public org.apache.arrow.flatbuf.TensorDim.Vector shapeVector() { return shapeVector(new org.apache.arrow.flatbuf.TensorDim.Vector()); }
    public org.apache.arrow.flatbuf.TensorDim.Vector shapeVector(org.apache.arrow.flatbuf.TensorDim.Vector obj) { int o = __offset(8); return o != 0 ? obj.__assign(__vector(o), 4, bb) : null; }
    /**
     * The number of non-zero values in a sparse tensor.
     */
    public long nonZeroLength() { int o = __offset(10); return o != 0 ? bb.getLong(o + bb_pos) : 0L; }
    public byte sparseIndexType() { int o = __offset(12); return o != 0 ? bb.get(o + bb_pos) : 0; }
    /**
     * Sparse tensor index
     */
    public Table sparseIndex(Table obj) { int o = __offset(14); return o != 0 ? __union(obj, o + bb_pos) : null; }
    /**
     * The location and size of the tensor's data
     */
    public org.apache.arrow.flatbuf.Buffer data() { return data(new org.apache.arrow.flatbuf.Buffer()); }
    public org.apache.arrow.flatbuf.Buffer data(org.apache.arrow.flatbuf.Buffer obj) { int o = __offset(16); return o != 0 ? obj.__assign(o + bb_pos, bb) : null; }
  
    public static void startSparseTensor(FlatBufferBuilder builder) { builder.startTable(7); }
    public static void addTypeType(FlatBufferBuilder builder, byte typeType) { builder.addByte(0, typeType, 0); }
    public static void addType(FlatBufferBuilder builder, int typeOffset) { builder.addOffset(1, typeOffset, 0); }
    public static void addShape(FlatBufferBuilder builder, int shapeOffset) { builder.addOffset(2, shapeOffset, 0); }
    public static int createShapeVector(FlatBufferBuilder builder, int[] data) { builder.startVector(4, data.length, 4); for (int i = data.length - 1; i >= 0; i--) builder.addOffset(data[i]); return builder.endVector(); }
    public static void startShapeVector(FlatBufferBuilder builder, int numElems) { builder.startVector(4, numElems, 4); }
    public static void addNonZeroLength(FlatBufferBuilder builder, long nonZeroLength) { builder.addLong(3, nonZeroLength, 0L); }
    public static void addSparseIndexType(FlatBufferBuilder builder, byte sparseIndexType) { builder.addByte(4, sparseIndexType, 0); }
    public static void addSparseIndex(FlatBufferBuilder builder, int sparseIndexOffset) { builder.addOffset(5, sparseIndexOffset, 0); }
    public static void addData(FlatBufferBuilder builder, int dataOffset) { builder.addStruct(6, dataOffset, 0); }
    public static int endSparseTensor(FlatBufferBuilder builder) {
      int o = builder.endTable();
      builder.required(o, 6);  // type
      builder.required(o, 8);  // shape
      builder.required(o, 14);  // sparseIndex
      builder.required(o, 16);  // data
      return o;
    }
    public static void finishSparseTensorBuffer(FlatBufferBuilder builder, int offset) { builder.finish(offset); }
    public static void finishSizePrefixedSparseTensorBuffer(FlatBufferBuilder builder, int offset) { builder.finishSizePrefixed(offset); }
  
    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 SparseTensor get(int j) { return get(new SparseTensor(), j); }
      public SparseTensor get(SparseTensor obj, int j) {  return obj.__assign(__indirect(__element(j), bb), bb); }
    }
  }
  