csharp/src/Apache.Arrow/Flatbuf/SparseTensorIndexCSF.cs

// <auto-generated>
//  automatically generated by the FlatBuffers compiler, do not modify
// </auto-generated>

namespace Apache.Arrow.Flatbuf
{

using global::System;
using global::System.Collections.Generic;
using global::Google.FlatBuffers;

/// Compressed Sparse Fiber (CSF) sparse tensor index.
internal struct SparseTensorIndexCSF : IFlatbufferObject
{
  private Table __p;
  public ByteBuffer ByteBuffer { get { return __p.bb; } }
  public static void ValidateVersion() { FlatBufferConstants.FLATBUFFERS_23_5_9(); }
  public static SparseTensorIndexCSF GetRootAsSparseTensorIndexCSF(ByteBuffer _bb) { return GetRootAsSparseTensorIndexCSF(_bb, new SparseTensorIndexCSF()); }
  public static SparseTensorIndexCSF GetRootAsSparseTensorIndexCSF(ByteBuffer _bb, SparseTensorIndexCSF obj) { return (obj.__assign(_bb.GetInt(_bb.Position) + _bb.Position, _bb)); }
  public void __init(int _i, ByteBuffer _bb) { __p = new Table(_i, _bb); }
  public SparseTensorIndexCSF __assign(int _i, ByteBuffer _bb) { __init(_i, _bb); return this; }

  /// CSF is a generalization of compressed sparse row (CSR) index.
  /// See [smith2017knl](http://shaden.io/pub-files/smith2017knl.pdf)
  ///
  /// CSF index recursively compresses each dimension of a tensor into a set
  /// of prefix trees. Each path from a root to leaf forms one tensor
  /// non-zero index. CSF is implemented with two arrays of buffers and one
  /// arrays of integers.
  ///
  /// For example, let X be a 2x3x4x5 tensor and let it have the following
  /// 8 non-zero values:
  /// ```text
  ///   X[0, 0, 0, 1] := 1
  ///   X[0, 0, 0, 2] := 2
  ///   X[0, 1, 0, 0] := 3
  ///   X[0, 1, 0, 2] := 4
  ///   X[0, 1, 1, 0] := 5
  ///   X[1, 1, 1, 0] := 6
  ///   X[1, 1, 1, 1] := 7
  ///   X[1, 1, 1, 2] := 8
  /// ```
  /// As a prefix tree this would be represented as:
  /// ```text
  ///         0          1
  ///        / \         |
  ///       0   1        1
  ///      /   / \       |
  ///     0   0   1      1
  ///    /|  /|   |    /| |
  ///   1 2 0 2   0   0 1 2
  /// ```
  /// The type of values in indptrBuffers
  public Int? IndptrType { get { int o = __p.__offset(4); return o != 0 ? (Int?)(new Int()).__assign(__p.__indirect(o + __p.bb_pos), __p.bb) : null; } }
  /// indptrBuffers stores the sparsity structure.
  /// Each two consecutive dimensions in a tensor correspond to a buffer in
  /// indptrBuffers. A pair of consecutive values at `indptrBuffers[dim][i]`
  /// and `indptrBuffers[dim][i + 1]` signify a range of nodes in
  /// `indicesBuffers[dim + 1]` who are children of `indicesBuffers[dim][i]` node.
  ///
  /// For example, the indptrBuffers for the above X is:
  /// ```text
  ///   indptrBuffer(X) = [
  ///                       [0, 2, 3],
  ///                       [0, 1, 3, 4],
  ///                       [0, 2, 4, 5, 8]
  ///                     ].
  /// ```
  public Buffer? IndptrBuffers(int j) { int o = __p.__offset(6); return o != 0 ? (Buffer?)(new Buffer()).__assign(__p.__vector(o) + j * 16, __p.bb) : null; }
  public int IndptrBuffersLength { get { int o = __p.__offset(6); return o != 0 ? __p.__vector_len(o) : 0; } }
  /// The type of values in indicesBuffers
  public Int? IndicesType { get { int o = __p.__offset(8); return o != 0 ? (Int?)(new Int()).__assign(__p.__indirect(o + __p.bb_pos), __p.bb) : null; } }
  /// indicesBuffers stores values of nodes.
  /// Each tensor dimension corresponds to a buffer in indicesBuffers.
  /// For example, the indicesBuffers for the above X is:
  /// ```text
  ///   indicesBuffer(X) = [
  ///                        [0, 1],
  ///                        [0, 1, 1],
  ///                        [0, 0, 1, 1],
  ///                        [1, 2, 0, 2, 0, 0, 1, 2]
  ///                      ].
  /// ```
  public Buffer? IndicesBuffers(int j) { int o = __p.__offset(10); return o != 0 ? (Buffer?)(new Buffer()).__assign(__p.__vector(o) + j * 16, __p.bb) : null; }
  public int IndicesBuffersLength { get { int o = __p.__offset(10); return o != 0 ? __p.__vector_len(o) : 0; } }
  /// axisOrder stores the sequence in which dimensions were traversed to
  /// produce the prefix tree.
  /// For example, the axisOrder for the above X is:
  /// ```text
  ///   axisOrder(X) = [0, 1, 2, 3].
  /// ```
  public int AxisOrder(int j) { int o = __p.__offset(12); return o != 0 ? __p.bb.GetInt(__p.__vector(o) + j * 4) : (int)0; }
  public int AxisOrderLength { get { int o = __p.__offset(12); return o != 0 ? __p.__vector_len(o) : 0; } }
#if ENABLE_SPAN_T
  public Span<int> GetAxisOrderBytes() { return __p.__vector_as_span<int>(12, 4); }
#else
  public ArraySegment<byte>? GetAxisOrderBytes() { return __p.__vector_as_arraysegment(12); }
#endif
  public int[] GetAxisOrderArray() { return __p.__vector_as_array<int>(12); }

  public static Offset<SparseTensorIndexCSF> CreateSparseTensorIndexCSF(FlatBufferBuilder builder,
      Offset<Int> indptrTypeOffset = default(Offset<Int>),
      VectorOffset indptrBuffersOffset = default(VectorOffset),
      Offset<Int> indicesTypeOffset = default(Offset<Int>),
      VectorOffset indicesBuffersOffset = default(VectorOffset),
      VectorOffset axisOrderOffset = default(VectorOffset)) {
    builder.StartTable(5);
    SparseTensorIndexCSF.AddAxisOrder(builder, axisOrderOffset);
    SparseTensorIndexCSF.AddIndicesBuffers(builder, indicesBuffersOffset);
    SparseTensorIndexCSF.AddIndicesType(builder, indicesTypeOffset);
    SparseTensorIndexCSF.AddIndptrBuffers(builder, indptrBuffersOffset);
    SparseTensorIndexCSF.AddIndptrType(builder, indptrTypeOffset);
    return SparseTensorIndexCSF.EndSparseTensorIndexCSF(builder);
  }

  public static void StartSparseTensorIndexCSF(FlatBufferBuilder builder) { builder.StartTable(5); }
  public static void AddIndptrType(FlatBufferBuilder builder, Offset<Int> indptrTypeOffset) { builder.AddOffset(0, indptrTypeOffset.Value, 0); }
  public static void AddIndptrBuffers(FlatBufferBuilder builder, VectorOffset indptrBuffersOffset) { builder.AddOffset(1, indptrBuffersOffset.Value, 0); }
  public static void StartIndptrBuffersVector(FlatBufferBuilder builder, int numElems) { builder.StartVector(16, numElems, 8); }
  public static void AddIndicesType(FlatBufferBuilder builder, Offset<Int> indicesTypeOffset) { builder.AddOffset(2, indicesTypeOffset.Value, 0); }
  public static void AddIndicesBuffers(FlatBufferBuilder builder, VectorOffset indicesBuffersOffset) { builder.AddOffset(3, indicesBuffersOffset.Value, 0); }
  public static void StartIndicesBuffersVector(FlatBufferBuilder builder, int numElems) { builder.StartVector(16, numElems, 8); }
  public static void AddAxisOrder(FlatBufferBuilder builder, VectorOffset axisOrderOffset) { builder.AddOffset(4, axisOrderOffset.Value, 0); }
  public static VectorOffset CreateAxisOrderVector(FlatBufferBuilder builder, int[] data) { builder.StartVector(4, data.Length, 4); for (int i = data.Length - 1; i >= 0; i--) builder.AddInt(data[i]); return builder.EndVector(); }
  public static VectorOffset CreateAxisOrderVectorBlock(FlatBufferBuilder builder, int[] data) { builder.StartVector(4, data.Length, 4); builder.Add(data); return builder.EndVector(); }
  public static VectorOffset CreateAxisOrderVectorBlock(FlatBufferBuilder builder, ArraySegment<int> data) { builder.StartVector(4, data.Count, 4); builder.Add(data); return builder.EndVector(); }
  public static VectorOffset CreateAxisOrderVectorBlock(FlatBufferBuilder builder, IntPtr dataPtr, int sizeInBytes) { builder.StartVector(1, sizeInBytes, 1); builder.Add<int>(dataPtr, sizeInBytes); return builder.EndVector(); }
  public static void StartAxisOrderVector(FlatBufferBuilder builder, int numElems) { builder.StartVector(4, numElems, 4); }
  public static Offset<SparseTensorIndexCSF> EndSparseTensorIndexCSF(FlatBufferBuilder builder) {
    int o = builder.EndTable();
    builder.Required(o, 4);  // indptrType
    builder.Required(o, 6);  // indptrBuffers
    builder.Required(o, 8);  // indicesType
    builder.Required(o, 10);  // indicesBuffers
    builder.Required(o, 12);  // axisOrder
    return new Offset<SparseTensorIndexCSF>(o);
  }
}


static internal class SparseTensorIndexCSFVerify
{
  static public bool Verify(Google.FlatBuffers.Verifier verifier, uint tablePos)
  {
    return verifier.VerifyTableStart(tablePos)
      && verifier.VerifyTable(tablePos, 4 /*IndptrType*/, IntVerify.Verify, true)
      && verifier.VerifyVectorOfData(tablePos, 6 /*IndptrBuffers*/, 16 /*Buffer*/, true)
      && verifier.VerifyTable(tablePos, 8 /*IndicesType*/, IntVerify.Verify, true)
      && verifier.VerifyVectorOfData(tablePos, 10 /*IndicesBuffers*/, 16 /*Buffer*/, true)
      && verifier.VerifyVectorOfData(tablePos, 12 /*AxisOrder*/, 4 /*int*/, true)
      && verifier.VerifyTableEnd(tablePos);
  }
}

}