// automatically generated by the FlatBuffers compiler, do not modify


#ifndef FLATBUFFERS_GENERATED_SPARSETENSOR_ORG_APACHE_ARROW_FLATBUF_H_
#define FLATBUFFERS_GENERATED_SPARSETENSOR_ORG_APACHE_ARROW_FLATBUF_H_

#include "flatbuffers/flatbuffers.h"

#include "Schema_generated.h"
#include "Tensor_generated.h"

namespace org {
namespace apache {
namespace arrow {
namespace flatbuf {

struct SparseTensorIndexCOO;
struct SparseTensorIndexCOOBuilder;

struct SparseMatrixIndexCSX;
struct SparseMatrixIndexCSXBuilder;

struct SparseTensorIndexCSF;
struct SparseTensorIndexCSFBuilder;

struct SparseTensor;
struct SparseTensorBuilder;

enum class SparseMatrixCompressedAxis : int16_t {
  Row = 0,
  Column = 1,
  MIN = Row,
  MAX = Column
};

inline const SparseMatrixCompressedAxis (&EnumValuesSparseMatrixCompressedAxis())[2] {
  static const SparseMatrixCompressedAxis values[] = {
    SparseMatrixCompressedAxis::Row,
    SparseMatrixCompressedAxis::Column
  };
  return values;
}

inline const char * const *EnumNamesSparseMatrixCompressedAxis() {
  static const char * const names[3] = {
    "Row",
    "Column",
    nullptr
  };
  return names;
}

inline const char *EnumNameSparseMatrixCompressedAxis(SparseMatrixCompressedAxis e) {
  if (flatbuffers::IsOutRange(e, SparseMatrixCompressedAxis::Row, SparseMatrixCompressedAxis::Column)) return "";
  const size_t index = static_cast<size_t>(e);
  return EnumNamesSparseMatrixCompressedAxis()[index];
}

enum class SparseTensorIndex : uint8_t {
  NONE = 0,
  SparseTensorIndexCOO = 1,
  SparseMatrixIndexCSX = 2,
  SparseTensorIndexCSF = 3,
  MIN = NONE,
  MAX = SparseTensorIndexCSF
};

inline const SparseTensorIndex (&EnumValuesSparseTensorIndex())[4] {
  static const SparseTensorIndex values[] = {
    SparseTensorIndex::NONE,
    SparseTensorIndex::SparseTensorIndexCOO,
    SparseTensorIndex::SparseMatrixIndexCSX,
    SparseTensorIndex::SparseTensorIndexCSF
  };
  return values;
}

inline const char * const *EnumNamesSparseTensorIndex() {
  static const char * const names[5] = {
    "NONE",
    "SparseTensorIndexCOO",
    "SparseMatrixIndexCSX",
    "SparseTensorIndexCSF",
    nullptr
  };
  return names;
}

inline const char *EnumNameSparseTensorIndex(SparseTensorIndex e) {
  if (flatbuffers::IsOutRange(e, SparseTensorIndex::NONE, SparseTensorIndex::SparseTensorIndexCSF)) return "";
  const size_t index = static_cast<size_t>(e);
  return EnumNamesSparseTensorIndex()[index];
}

template<typename T> struct SparseTensorIndexTraits {
  static const SparseTensorIndex enum_value = SparseTensorIndex::NONE;
};

template<> struct SparseTensorIndexTraits<org::apache::arrow::flatbuf::SparseTensorIndexCOO> {
  static const SparseTensorIndex enum_value = SparseTensorIndex::SparseTensorIndexCOO;
};

template<> struct SparseTensorIndexTraits<org::apache::arrow::flatbuf::SparseMatrixIndexCSX> {
  static const SparseTensorIndex enum_value = SparseTensorIndex::SparseMatrixIndexCSX;
};

template<> struct SparseTensorIndexTraits<org::apache::arrow::flatbuf::SparseTensorIndexCSF> {
  static const SparseTensorIndex enum_value = SparseTensorIndex::SparseTensorIndexCSF;
};

bool VerifySparseTensorIndex(flatbuffers::Verifier &verifier, const void *obj, SparseTensorIndex type);
bool VerifySparseTensorIndexVector(flatbuffers::Verifier &verifier, const flatbuffers::Vector<flatbuffers::Offset<void>> *values, const flatbuffers::Vector<uint8_t> *types);

/// ----------------------------------------------------------------------
/// EXPERIMENTAL: Data structures for sparse tensors
/// Coordinate (COO) format of sparse tensor index.
///
/// COO's index list are represented as a NxM matrix,
/// where N is the number of non-zero values,
/// and M is the number of dimensions of a sparse tensor.
///
/// indicesBuffer stores the location and size of the data of this indices
/// matrix.  The value type and the stride of the indices matrix is
/// specified in indicesType and indicesStrides fields.
///
/// For example, let X be a 2x3x4x5 tensor, and it has the following
/// 6 non-zero values:
///
///   X[0, 1, 2, 0] := 1
///   X[1, 1, 2, 3] := 2
///   X[0, 2, 1, 0] := 3
///   X[0, 1, 3, 0] := 4
///   X[0, 1, 2, 1] := 5
///   X[1, 2, 0, 4] := 6
///
/// In COO format, the index matrix of X is the following 4x6 matrix:
///
///   [[0, 0, 0, 0, 1, 1],
///    [1, 1, 1, 2, 1, 2],
///    [2, 2, 3, 1, 2, 0],
///    [0, 1, 0, 0, 3, 4]]
///
/// Note that the indices are sorted in lexicographical order.
struct SparseTensorIndexCOO FLATBUFFERS_FINAL_CLASS : private flatbuffers::Table {
  typedef SparseTensorIndexCOOBuilder Builder;
  enum FlatBuffersVTableOffset FLATBUFFERS_VTABLE_UNDERLYING_TYPE {
    VT_INDICESTYPE = 4,
    VT_INDICESSTRIDES = 6,
    VT_INDICESBUFFER = 8,
    VT_ISCANONICAL = 10
  };
  /// The type of values in indicesBuffer
  const org::apache::arrow::flatbuf::Int *indicesType() const {
    return GetPointer<const org::apache::arrow::flatbuf::Int *>(VT_INDICESTYPE);
  }
  /// Non-negative byte offsets to advance one value cell along each dimension
  /// If omitted, default to row-major order (C-like).
  const flatbuffers::Vector<int64_t> *indicesStrides() const {
    return GetPointer<const flatbuffers::Vector<int64_t> *>(VT_INDICESSTRIDES);
  }
  /// The location and size of the indices matrix's data
  const org::apache::arrow::flatbuf::Buffer *indicesBuffer() const {
    return GetStruct<const org::apache::arrow::flatbuf::Buffer *>(VT_INDICESBUFFER);
  }
  /// The canonicality flag
  bool isCanonical() const {
    return GetField<uint8_t>(VT_ISCANONICAL, 0) != 0;
  }
  bool Verify(flatbuffers::Verifier &verifier) const {
    return VerifyTableStart(verifier) &&
           VerifyOffsetRequired(verifier, VT_INDICESTYPE) &&
           verifier.VerifyTable(indicesType()) &&
           VerifyOffset(verifier, VT_INDICESSTRIDES) &&
           verifier.VerifyVector(indicesStrides()) &&
           VerifyFieldRequired<org::apache::arrow::flatbuf::Buffer>(verifier, VT_INDICESBUFFER) &&
           VerifyField<uint8_t>(verifier, VT_ISCANONICAL) &&
           verifier.EndTable();
  }
};

struct SparseTensorIndexCOOBuilder {
  typedef SparseTensorIndexCOO Table;
  flatbuffers::FlatBufferBuilder &fbb_;
  flatbuffers::uoffset_t start_;
  void add_indicesType(flatbuffers::Offset<org::apache::arrow::flatbuf::Int> indicesType) {
    fbb_.AddOffset(SparseTensorIndexCOO::VT_INDICESTYPE, indicesType);
  }
  void add_indicesStrides(flatbuffers::Offset<flatbuffers::Vector<int64_t>> indicesStrides) {
    fbb_.AddOffset(SparseTensorIndexCOO::VT_INDICESSTRIDES, indicesStrides);
  }
  void add_indicesBuffer(const org::apache::arrow::flatbuf::Buffer *indicesBuffer) {
    fbb_.AddStruct(SparseTensorIndexCOO::VT_INDICESBUFFER, indicesBuffer);
  }
  void add_isCanonical(bool isCanonical) {
    fbb_.AddElement<uint8_t>(SparseTensorIndexCOO::VT_ISCANONICAL, static_cast<uint8_t>(isCanonical), 0);
  }
  explicit SparseTensorIndexCOOBuilder(flatbuffers::FlatBufferBuilder &_fbb)
        : fbb_(_fbb) {
    start_ = fbb_.StartTable();
  }
  SparseTensorIndexCOOBuilder &operator=(const SparseTensorIndexCOOBuilder &);
  flatbuffers::Offset<SparseTensorIndexCOO> Finish() {
    const auto end = fbb_.EndTable(start_);
    auto o = flatbuffers::Offset<SparseTensorIndexCOO>(end);
    fbb_.Required(o, SparseTensorIndexCOO::VT_INDICESTYPE);
    fbb_.Required(o, SparseTensorIndexCOO::VT_INDICESBUFFER);
    return o;
  }
};

inline flatbuffers::Offset<SparseTensorIndexCOO> CreateSparseTensorIndexCOO(
    flatbuffers::FlatBufferBuilder &_fbb,
    flatbuffers::Offset<org::apache::arrow::flatbuf::Int> indicesType = 0,
    flatbuffers::Offset<flatbuffers::Vector<int64_t>> indicesStrides = 0,
    const org::apache::arrow::flatbuf::Buffer *indicesBuffer = 0,
    bool isCanonical = false) {
  SparseTensorIndexCOOBuilder builder_(_fbb);
  builder_.add_indicesBuffer(indicesBuffer);
  builder_.add_indicesStrides(indicesStrides);
  builder_.add_indicesType(indicesType);
  builder_.add_isCanonical(isCanonical);
  return builder_.Finish();
}

inline flatbuffers::Offset<SparseTensorIndexCOO> CreateSparseTensorIndexCOODirect(
    flatbuffers::FlatBufferBuilder &_fbb,
    flatbuffers::Offset<org::apache::arrow::flatbuf::Int> indicesType = 0,
    const std::vector<int64_t> *indicesStrides = nullptr,
    const org::apache::arrow::flatbuf::Buffer *indicesBuffer = 0,
    bool isCanonical = false) {
  auto indicesStrides__ = indicesStrides ? _fbb.CreateVector<int64_t>(*indicesStrides) : 0;
  return org::apache::arrow::flatbuf::CreateSparseTensorIndexCOO(
      _fbb,
      indicesType,
      indicesStrides__,
      indicesBuffer,
      isCanonical);
}

/// Compressed Sparse format, that is matrix-specific.
struct SparseMatrixIndexCSX FLATBUFFERS_FINAL_CLASS : private flatbuffers::Table {
  typedef SparseMatrixIndexCSXBuilder Builder;
  enum FlatBuffersVTableOffset FLATBUFFERS_VTABLE_UNDERLYING_TYPE {
    VT_COMPRESSEDAXIS = 4,
    VT_INDPTRTYPE = 6,
    VT_INDPTRBUFFER = 8,
    VT_INDICESTYPE = 10,
    VT_INDICESBUFFER = 12
  };
  /// Which axis, row or column, is compressed
  org::apache::arrow::flatbuf::SparseMatrixCompressedAxis compressedAxis() const {
    return static_cast<org::apache::arrow::flatbuf::SparseMatrixCompressedAxis>(GetField<int16_t>(VT_COMPRESSEDAXIS, 0));
  }
  /// The type of values in indptrBuffer
  const org::apache::arrow::flatbuf::Int *indptrType() const {
    return GetPointer<const org::apache::arrow::flatbuf::Int *>(VT_INDPTRTYPE);
  }
  /// indptrBuffer stores the location and size of indptr array that
  /// represents the range of the rows.
  /// The i-th row spans from indptr[i] to indptr[i+1] in the data.
  /// The length of this array is 1 + (the number of rows), and the type
  /// of index value is long.
  ///
  /// For example, let X be the following 6x4 matrix:
  ///
  ///   X := [[0, 1, 2, 0],
  ///         [0, 0, 3, 0],
  ///         [0, 4, 0, 5],
  ///         [0, 0, 0, 0],
  ///         [6, 0, 7, 8],
  ///         [0, 9, 0, 0]].
  ///
  /// The array of non-zero values in X is:
  ///
  ///   values(X) = [1, 2, 3, 4, 5, 6, 7, 8, 9].
  ///
  /// And the indptr of X is:
  ///
  ///   indptr(X) = [0, 2, 3, 5, 5, 8, 10].
  const org::apache::arrow::flatbuf::Buffer *indptrBuffer() const {
    return GetStruct<const org::apache::arrow::flatbuf::Buffer *>(VT_INDPTRBUFFER);
  }
  /// The type of values in indicesBuffer
  const org::apache::arrow::flatbuf::Int *indicesType() const {
    return GetPointer<const org::apache::arrow::flatbuf::Int *>(VT_INDICESTYPE);
  }
  /// indicesBuffer stores the location and size of the array that
  /// contains the column indices of the corresponding non-zero values.
  /// The type of index value is long.
  ///
  /// For example, the indices of the above X is:
  ///
  ///   indices(X) = [1, 2, 2, 1, 3, 0, 2, 3, 1].
  ///
  /// Note that the indices are sorted in lexicographical order for each row.
  const org::apache::arrow::flatbuf::Buffer *indicesBuffer() const {
    return GetStruct<const org::apache::arrow::flatbuf::Buffer *>(VT_INDICESBUFFER);
  }
  bool Verify(flatbuffers::Verifier &verifier) const {
    return VerifyTableStart(verifier) &&
           VerifyField<int16_t>(verifier, VT_COMPRESSEDAXIS) &&
           VerifyOffsetRequired(verifier, VT_INDPTRTYPE) &&
           verifier.VerifyTable(indptrType()) &&
           VerifyFieldRequired<org::apache::arrow::flatbuf::Buffer>(verifier, VT_INDPTRBUFFER) &&
           VerifyOffsetRequired(verifier, VT_INDICESTYPE) &&
           verifier.VerifyTable(indicesType()) &&
           VerifyFieldRequired<org::apache::arrow::flatbuf::Buffer>(verifier, VT_INDICESBUFFER) &&
           verifier.EndTable();
  }
};

struct SparseMatrixIndexCSXBuilder {
  typedef SparseMatrixIndexCSX Table;
  flatbuffers::FlatBufferBuilder &fbb_;
  flatbuffers::uoffset_t start_;
  void add_compressedAxis(org::apache::arrow::flatbuf::SparseMatrixCompressedAxis compressedAxis) {
    fbb_.AddElement<int16_t>(SparseMatrixIndexCSX::VT_COMPRESSEDAXIS, static_cast<int16_t>(compressedAxis), 0);
  }
  void add_indptrType(flatbuffers::Offset<org::apache::arrow::flatbuf::Int> indptrType) {
    fbb_.AddOffset(SparseMatrixIndexCSX::VT_INDPTRTYPE, indptrType);
  }
  void add_indptrBuffer(const org::apache::arrow::flatbuf::Buffer *indptrBuffer) {
    fbb_.AddStruct(SparseMatrixIndexCSX::VT_INDPTRBUFFER, indptrBuffer);
  }
  void add_indicesType(flatbuffers::Offset<org::apache::arrow::flatbuf::Int> indicesType) {
    fbb_.AddOffset(SparseMatrixIndexCSX::VT_INDICESTYPE, indicesType);
  }
  void add_indicesBuffer(const org::apache::arrow::flatbuf::Buffer *indicesBuffer) {
    fbb_.AddStruct(SparseMatrixIndexCSX::VT_INDICESBUFFER, indicesBuffer);
  }
  explicit SparseMatrixIndexCSXBuilder(flatbuffers::FlatBufferBuilder &_fbb)
        : fbb_(_fbb) {
    start_ = fbb_.StartTable();
  }
  SparseMatrixIndexCSXBuilder &operator=(const SparseMatrixIndexCSXBuilder &);
  flatbuffers::Offset<SparseMatrixIndexCSX> Finish() {
    const auto end = fbb_.EndTable(start_);
    auto o = flatbuffers::Offset<SparseMatrixIndexCSX>(end);
    fbb_.Required(o, SparseMatrixIndexCSX::VT_INDPTRTYPE);
    fbb_.Required(o, SparseMatrixIndexCSX::VT_INDPTRBUFFER);
    fbb_.Required(o, SparseMatrixIndexCSX::VT_INDICESTYPE);
    fbb_.Required(o, SparseMatrixIndexCSX::VT_INDICESBUFFER);
    return o;
  }
};

inline flatbuffers::Offset<SparseMatrixIndexCSX> CreateSparseMatrixIndexCSX(
    flatbuffers::FlatBufferBuilder &_fbb,
    org::apache::arrow::flatbuf::SparseMatrixCompressedAxis compressedAxis = org::apache::arrow::flatbuf::SparseMatrixCompressedAxis::Row,
    flatbuffers::Offset<org::apache::arrow::flatbuf::Int> indptrType = 0,
    const org::apache::arrow::flatbuf::Buffer *indptrBuffer = 0,
    flatbuffers::Offset<org::apache::arrow::flatbuf::Int> indicesType = 0,
    const org::apache::arrow::flatbuf::Buffer *indicesBuffer = 0) {
  SparseMatrixIndexCSXBuilder builder_(_fbb);
  builder_.add_indicesBuffer(indicesBuffer);
  builder_.add_indicesType(indicesType);
  builder_.add_indptrBuffer(indptrBuffer);
  builder_.add_indptrType(indptrType);
  builder_.add_compressedAxis(compressedAxis);
  return builder_.Finish();
}

/// Compressed Sparse Fiber (CSF) sparse tensor index.
struct SparseTensorIndexCSF FLATBUFFERS_FINAL_CLASS : private flatbuffers::Table {
  typedef SparseTensorIndexCSFBuilder Builder;
  enum FlatBuffersVTableOffset FLATBUFFERS_VTABLE_UNDERLYING_TYPE {
    VT_INDPTRTYPE = 4,
    VT_INDPTRBUFFERS = 6,
    VT_INDICESTYPE = 8,
    VT_INDICESBUFFERS = 10,
    VT_AXISORDER = 12
  };
  /// 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:
  ///
  ///   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:
  ///
  ///         0          1
  ///        / \         |
  ///       0   1        1
  ///      /   / \       |
  ///     0   0   1      1
  ///    /|  /|   |    /| |
  ///   1 2 0 2   0   0 1 2
  /// The type of values in indptrBuffers
  const org::apache::arrow::flatbuf::Int *indptrType() const {
    return GetPointer<const org::apache::arrow::flatbuf::Int *>(VT_INDPTRTYPE);
  }
  /// 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:
  ///
  ///   indptrBuffer(X) = [
  ///                       [0, 2, 3],
  ///                       [0, 1, 3, 4],
  ///                       [0, 2, 4, 5, 8]
  ///                     ].
  ///
  const flatbuffers::Vector<const org::apache::arrow::flatbuf::Buffer *> *indptrBuffers() const {
    return GetPointer<const flatbuffers::Vector<const org::apache::arrow::flatbuf::Buffer *> *>(VT_INDPTRBUFFERS);
  }
  /// The type of values in indicesBuffers
  const org::apache::arrow::flatbuf::Int *indicesType() const {
    return GetPointer<const org::apache::arrow::flatbuf::Int *>(VT_INDICESTYPE);
  }
  /// indicesBuffers stores values of nodes.
  /// Each tensor dimension corresponds to a buffer in indicesBuffers.
  /// For example, the indicesBuffers for the above X is:
  ///
  ///   indicesBuffer(X) = [
  ///                        [0, 1],
  ///                        [0, 1, 1],
  ///                        [0, 0, 1, 1],
  ///                        [1, 2, 0, 2, 0, 0, 1, 2]
  ///                      ].
  ///
  const flatbuffers::Vector<const org::apache::arrow::flatbuf::Buffer *> *indicesBuffers() const {
    return GetPointer<const flatbuffers::Vector<const org::apache::arrow::flatbuf::Buffer *> *>(VT_INDICESBUFFERS);
  }
  /// axisOrder stores the sequence in which dimensions were traversed to
  /// produce the prefix tree.
  /// For example, the axisOrder for the above X is:
  ///
  ///   axisOrder(X) = [0, 1, 2, 3].
  ///
  const flatbuffers::Vector<int32_t> *axisOrder() const {
    return GetPointer<const flatbuffers::Vector<int32_t> *>(VT_AXISORDER);
  }
  bool Verify(flatbuffers::Verifier &verifier) const {
    return VerifyTableStart(verifier) &&
           VerifyOffsetRequired(verifier, VT_INDPTRTYPE) &&
           verifier.VerifyTable(indptrType()) &&
           VerifyOffsetRequired(verifier, VT_INDPTRBUFFERS) &&
           verifier.VerifyVector(indptrBuffers()) &&
           VerifyOffsetRequired(verifier, VT_INDICESTYPE) &&
           verifier.VerifyTable(indicesType()) &&
           VerifyOffsetRequired(verifier, VT_INDICESBUFFERS) &&
           verifier.VerifyVector(indicesBuffers()) &&
           VerifyOffsetRequired(verifier, VT_AXISORDER) &&
           verifier.VerifyVector(axisOrder()) &&
           verifier.EndTable();
  }
};

struct SparseTensorIndexCSFBuilder {
  typedef SparseTensorIndexCSF Table;
  flatbuffers::FlatBufferBuilder &fbb_;
  flatbuffers::uoffset_t start_;
  void add_indptrType(flatbuffers::Offset<org::apache::arrow::flatbuf::Int> indptrType) {
    fbb_.AddOffset(SparseTensorIndexCSF::VT_INDPTRTYPE, indptrType);
  }
  void add_indptrBuffers(flatbuffers::Offset<flatbuffers::Vector<const org::apache::arrow::flatbuf::Buffer *>> indptrBuffers) {
    fbb_.AddOffset(SparseTensorIndexCSF::VT_INDPTRBUFFERS, indptrBuffers);
  }
  void add_indicesType(flatbuffers::Offset<org::apache::arrow::flatbuf::Int> indicesType) {
    fbb_.AddOffset(SparseTensorIndexCSF::VT_INDICESTYPE, indicesType);
  }
  void add_indicesBuffers(flatbuffers::Offset<flatbuffers::Vector<const org::apache::arrow::flatbuf::Buffer *>> indicesBuffers) {
    fbb_.AddOffset(SparseTensorIndexCSF::VT_INDICESBUFFERS, indicesBuffers);
  }
  void add_axisOrder(flatbuffers::Offset<flatbuffers::Vector<int32_t>> axisOrder) {
    fbb_.AddOffset(SparseTensorIndexCSF::VT_AXISORDER, axisOrder);
  }
  explicit SparseTensorIndexCSFBuilder(flatbuffers::FlatBufferBuilder &_fbb)
        : fbb_(_fbb) {
    start_ = fbb_.StartTable();
  }
  SparseTensorIndexCSFBuilder &operator=(const SparseTensorIndexCSFBuilder &);
  flatbuffers::Offset<SparseTensorIndexCSF> Finish() {
    const auto end = fbb_.EndTable(start_);
    auto o = flatbuffers::Offset<SparseTensorIndexCSF>(end);
    fbb_.Required(o, SparseTensorIndexCSF::VT_INDPTRTYPE);
    fbb_.Required(o, SparseTensorIndexCSF::VT_INDPTRBUFFERS);
    fbb_.Required(o, SparseTensorIndexCSF::VT_INDICESTYPE);
    fbb_.Required(o, SparseTensorIndexCSF::VT_INDICESBUFFERS);
    fbb_.Required(o, SparseTensorIndexCSF::VT_AXISORDER);
    return o;
  }
};

inline flatbuffers::Offset<SparseTensorIndexCSF> CreateSparseTensorIndexCSF(
    flatbuffers::FlatBufferBuilder &_fbb,
    flatbuffers::Offset<org::apache::arrow::flatbuf::Int> indptrType = 0,
    flatbuffers::Offset<flatbuffers::Vector<const org::apache::arrow::flatbuf::Buffer *>> indptrBuffers = 0,
    flatbuffers::Offset<org::apache::arrow::flatbuf::Int> indicesType = 0,
    flatbuffers::Offset<flatbuffers::Vector<const org::apache::arrow::flatbuf::Buffer *>> indicesBuffers = 0,
    flatbuffers::Offset<flatbuffers::Vector<int32_t>> axisOrder = 0) {
  SparseTensorIndexCSFBuilder builder_(_fbb);
  builder_.add_axisOrder(axisOrder);
  builder_.add_indicesBuffers(indicesBuffers);
  builder_.add_indicesType(indicesType);
  builder_.add_indptrBuffers(indptrBuffers);
  builder_.add_indptrType(indptrType);
  return builder_.Finish();
}

inline flatbuffers::Offset<SparseTensorIndexCSF> CreateSparseTensorIndexCSFDirect(
    flatbuffers::FlatBufferBuilder &_fbb,
    flatbuffers::Offset<org::apache::arrow::flatbuf::Int> indptrType = 0,
    const std::vector<org::apache::arrow::flatbuf::Buffer> *indptrBuffers = nullptr,
    flatbuffers::Offset<org::apache::arrow::flatbuf::Int> indicesType = 0,
    const std::vector<org::apache::arrow::flatbuf::Buffer> *indicesBuffers = nullptr,
    const std::vector<int32_t> *axisOrder = nullptr) {
  auto indptrBuffers__ = indptrBuffers ? _fbb.CreateVectorOfStructs<org::apache::arrow::flatbuf::Buffer>(*indptrBuffers) : 0;
  auto indicesBuffers__ = indicesBuffers ? _fbb.CreateVectorOfStructs<org::apache::arrow::flatbuf::Buffer>(*indicesBuffers) : 0;
  auto axisOrder__ = axisOrder ? _fbb.CreateVector<int32_t>(*axisOrder) : 0;
  return org::apache::arrow::flatbuf::CreateSparseTensorIndexCSF(
      _fbb,
      indptrType,
      indptrBuffers__,
      indicesType,
      indicesBuffers__,
      axisOrder__);
}

struct SparseTensor FLATBUFFERS_FINAL_CLASS : private flatbuffers::Table {
  typedef SparseTensorBuilder Builder;
  enum FlatBuffersVTableOffset FLATBUFFERS_VTABLE_UNDERLYING_TYPE {
    VT_TYPE_TYPE = 4,
    VT_TYPE = 6,
    VT_SHAPE = 8,
    VT_NON_ZERO_LENGTH = 10,
    VT_SPARSEINDEX_TYPE = 12,
    VT_SPARSEINDEX = 14,
    VT_DATA = 16
  };
  org::apache::arrow::flatbuf::Type type_type() const {
    return static_cast<org::apache::arrow::flatbuf::Type>(GetField<uint8_t>(VT_TYPE_TYPE, 0));
  }
  /// The type of data contained in a value cell.
  /// Currently only fixed-width value types are supported,
  /// no strings or nested types.
  const void *type() const {
    return GetPointer<const void *>(VT_TYPE);
  }
  template<typename T> const T *type_as() const;
  const org::apache::arrow::flatbuf::Null *type_as_Null() const {
    return type_type() == org::apache::arrow::flatbuf::Type::Null ? static_cast<const org::apache::arrow::flatbuf::Null *>(type()) : nullptr;
  }
  const org::apache::arrow::flatbuf::Int *type_as_Int() const {
    return type_type() == org::apache::arrow::flatbuf::Type::Int ? static_cast<const org::apache::arrow::flatbuf::Int *>(type()) : nullptr;
  }
  const org::apache::arrow::flatbuf::FloatingPoint *type_as_FloatingPoint() const {
    return type_type() == org::apache::arrow::flatbuf::Type::FloatingPoint ? static_cast<const org::apache::arrow::flatbuf::FloatingPoint *>(type()) : nullptr;
  }
  const org::apache::arrow::flatbuf::Binary *type_as_Binary() const {
    return type_type() == org::apache::arrow::flatbuf::Type::Binary ? static_cast<const org::apache::arrow::flatbuf::Binary *>(type()) : nullptr;
  }
  const org::apache::arrow::flatbuf::Utf8 *type_as_Utf8() const {
    return type_type() == org::apache::arrow::flatbuf::Type::Utf8 ? static_cast<const org::apache::arrow::flatbuf::Utf8 *>(type()) : nullptr;
  }
  const org::apache::arrow::flatbuf::Bool *type_as_Bool() const {
    return type_type() == org::apache::arrow::flatbuf::Type::Bool ? static_cast<const org::apache::arrow::flatbuf::Bool *>(type()) : nullptr;
  }
  const org::apache::arrow::flatbuf::Decimal *type_as_Decimal() const {
    return type_type() == org::apache::arrow::flatbuf::Type::Decimal ? static_cast<const org::apache::arrow::flatbuf::Decimal *>(type()) : nullptr;
  }
  const org::apache::arrow::flatbuf::Date *type_as_Date() const {
    return type_type() == org::apache::arrow::flatbuf::Type::Date ? static_cast<const org::apache::arrow::flatbuf::Date *>(type()) : nullptr;
  }
  const org::apache::arrow::flatbuf::Time *type_as_Time() const {
    return type_type() == org::apache::arrow::flatbuf::Type::Time ? static_cast<const org::apache::arrow::flatbuf::Time *>(type()) : nullptr;
  }
  const org::apache::arrow::flatbuf::Timestamp *type_as_Timestamp() const {
    return type_type() == org::apache::arrow::flatbuf::Type::Timestamp ? static_cast<const org::apache::arrow::flatbuf::Timestamp *>(type()) : nullptr;
  }
  const org::apache::arrow::flatbuf::Interval *type_as_Interval() const {
    return type_type() == org::apache::arrow::flatbuf::Type::Interval ? static_cast<const org::apache::arrow::flatbuf::Interval *>(type()) : nullptr;
  }
  const org::apache::arrow::flatbuf::List *type_as_List() const {
    return type_type() == org::apache::arrow::flatbuf::Type::List ? static_cast<const org::apache::arrow::flatbuf::List *>(type()) : nullptr;
  }
  const org::apache::arrow::flatbuf::Struct_ *type_as_Struct_() const {
    return type_type() == org::apache::arrow::flatbuf::Type::Struct_ ? static_cast<const org::apache::arrow::flatbuf::Struct_ *>(type()) : nullptr;
  }
  const org::apache::arrow::flatbuf::Union *type_as_Union() const {
    return type_type() == org::apache::arrow::flatbuf::Type::Union ? static_cast<const org::apache::arrow::flatbuf::Union *>(type()) : nullptr;
  }
  const org::apache::arrow::flatbuf::FixedSizeBinary *type_as_FixedSizeBinary() const {
    return type_type() == org::apache::arrow::flatbuf::Type::FixedSizeBinary ? static_cast<const org::apache::arrow::flatbuf::FixedSizeBinary *>(type()) : nullptr;
  }
  const org::apache::arrow::flatbuf::FixedSizeList *type_as_FixedSizeList() const {
    return type_type() == org::apache::arrow::flatbuf::Type::FixedSizeList ? static_cast<const org::apache::arrow::flatbuf::FixedSizeList *>(type()) : nullptr;
  }
  const org::apache::arrow::flatbuf::Map *type_as_Map() const {
    return type_type() == org::apache::arrow::flatbuf::Type::Map ? static_cast<const org::apache::arrow::flatbuf::Map *>(type()) : nullptr;
  }
  const org::apache::arrow::flatbuf::Duration *type_as_Duration() const {
    return type_type() == org::apache::arrow::flatbuf::Type::Duration ? static_cast<const org::apache::arrow::flatbuf::Duration *>(type()) : nullptr;
  }
  const org::apache::arrow::flatbuf::LargeBinary *type_as_LargeBinary() const {
    return type_type() == org::apache::arrow::flatbuf::Type::LargeBinary ? static_cast<const org::apache::arrow::flatbuf::LargeBinary *>(type()) : nullptr;
  }
  const org::apache::arrow::flatbuf::LargeUtf8 *type_as_LargeUtf8() const {
    return type_type() == org::apache::arrow::flatbuf::Type::LargeUtf8 ? static_cast<const org::apache::arrow::flatbuf::LargeUtf8 *>(type()) : nullptr;
  }
  const org::apache::arrow::flatbuf::LargeList *type_as_LargeList() const {
    return type_type() == org::apache::arrow::flatbuf::Type::LargeList ? static_cast<const org::apache::arrow::flatbuf::LargeList *>(type()) : nullptr;
  }
  /// The dimensions of the tensor, optionally named.
  const flatbuffers::Vector<flatbuffers::Offset<org::apache::arrow::flatbuf::TensorDim>> *shape() const {
    return GetPointer<const flatbuffers::Vector<flatbuffers::Offset<org::apache::arrow::flatbuf::TensorDim>> *>(VT_SHAPE);
  }
  /// The number of non-zero values in a sparse tensor.
  int64_t non_zero_length() const {
    return GetField<int64_t>(VT_NON_ZERO_LENGTH, 0);
  }
  org::apache::arrow::flatbuf::SparseTensorIndex sparseIndex_type() const {
    return static_cast<org::apache::arrow::flatbuf::SparseTensorIndex>(GetField<uint8_t>(VT_SPARSEINDEX_TYPE, 0));
  }
  /// Sparse tensor index
  const void *sparseIndex() const {
    return GetPointer<const void *>(VT_SPARSEINDEX);
  }
  template<typename T> const T *sparseIndex_as() const;
  const org::apache::arrow::flatbuf::SparseTensorIndexCOO *sparseIndex_as_SparseTensorIndexCOO() const {
    return sparseIndex_type() == org::apache::arrow::flatbuf::SparseTensorIndex::SparseTensorIndexCOO ? static_cast<const org::apache::arrow::flatbuf::SparseTensorIndexCOO *>(sparseIndex()) : nullptr;
  }
  const org::apache::arrow::flatbuf::SparseMatrixIndexCSX *sparseIndex_as_SparseMatrixIndexCSX() const {
    return sparseIndex_type() == org::apache::arrow::flatbuf::SparseTensorIndex::SparseMatrixIndexCSX ? static_cast<const org::apache::arrow::flatbuf::SparseMatrixIndexCSX *>(sparseIndex()) : nullptr;
  }
  const org::apache::arrow::flatbuf::SparseTensorIndexCSF *sparseIndex_as_SparseTensorIndexCSF() const {
    return sparseIndex_type() == org::apache::arrow::flatbuf::SparseTensorIndex::SparseTensorIndexCSF ? static_cast<const org::apache::arrow::flatbuf::SparseTensorIndexCSF *>(sparseIndex()) : nullptr;
  }
  /// The location and size of the tensor's data
  const org::apache::arrow::flatbuf::Buffer *data() const {
    return GetStruct<const org::apache::arrow::flatbuf::Buffer *>(VT_DATA);
  }
  bool Verify(flatbuffers::Verifier &verifier) const {
    return VerifyTableStart(verifier) &&
           VerifyField<uint8_t>(verifier, VT_TYPE_TYPE) &&
           VerifyOffsetRequired(verifier, VT_TYPE) &&
           VerifyType(verifier, type(), type_type()) &&
           VerifyOffsetRequired(verifier, VT_SHAPE) &&
           verifier.VerifyVector(shape()) &&
           verifier.VerifyVectorOfTables(shape()) &&
           VerifyField<int64_t>(verifier, VT_NON_ZERO_LENGTH) &&
           VerifyField<uint8_t>(verifier, VT_SPARSEINDEX_TYPE) &&
           VerifyOffsetRequired(verifier, VT_SPARSEINDEX) &&
           VerifySparseTensorIndex(verifier, sparseIndex(), sparseIndex_type()) &&
           VerifyFieldRequired<org::apache::arrow::flatbuf::Buffer>(verifier, VT_DATA) &&
           verifier.EndTable();
  }
};

template<> inline const org::apache::arrow::flatbuf::Null *SparseTensor::type_as<org::apache::arrow::flatbuf::Null>() const {
  return type_as_Null();
}

template<> inline const org::apache::arrow::flatbuf::Int *SparseTensor::type_as<org::apache::arrow::flatbuf::Int>() const {
  return type_as_Int();
}

template<> inline const org::apache::arrow::flatbuf::FloatingPoint *SparseTensor::type_as<org::apache::arrow::flatbuf::FloatingPoint>() const {
  return type_as_FloatingPoint();
}

template<> inline const org::apache::arrow::flatbuf::Binary *SparseTensor::type_as<org::apache::arrow::flatbuf::Binary>() const {
  return type_as_Binary();
}

template<> inline const org::apache::arrow::flatbuf::Utf8 *SparseTensor::type_as<org::apache::arrow::flatbuf::Utf8>() const {
  return type_as_Utf8();
}

template<> inline const org::apache::arrow::flatbuf::Bool *SparseTensor::type_as<org::apache::arrow::flatbuf::Bool>() const {
  return type_as_Bool();
}

template<> inline const org::apache::arrow::flatbuf::Decimal *SparseTensor::type_as<org::apache::arrow::flatbuf::Decimal>() const {
  return type_as_Decimal();
}

template<> inline const org::apache::arrow::flatbuf::Date *SparseTensor::type_as<org::apache::arrow::flatbuf::Date>() const {
  return type_as_Date();
}

template<> inline const org::apache::arrow::flatbuf::Time *SparseTensor::type_as<org::apache::arrow::flatbuf::Time>() const {
  return type_as_Time();
}

template<> inline const org::apache::arrow::flatbuf::Timestamp *SparseTensor::type_as<org::apache::arrow::flatbuf::Timestamp>() const {
  return type_as_Timestamp();
}

template<> inline const org::apache::arrow::flatbuf::Interval *SparseTensor::type_as<org::apache::arrow::flatbuf::Interval>() const {
  return type_as_Interval();
}

template<> inline const org::apache::arrow::flatbuf::List *SparseTensor::type_as<org::apache::arrow::flatbuf::List>() const {
  return type_as_List();
}

template<> inline const org::apache::arrow::flatbuf::Struct_ *SparseTensor::type_as<org::apache::arrow::flatbuf::Struct_>() const {
  return type_as_Struct_();
}

template<> inline const org::apache::arrow::flatbuf::Union *SparseTensor::type_as<org::apache::arrow::flatbuf::Union>() const {
  return type_as_Union();
}

template<> inline const org::apache::arrow::flatbuf::FixedSizeBinary *SparseTensor::type_as<org::apache::arrow::flatbuf::FixedSizeBinary>() const {
  return type_as_FixedSizeBinary();
}

template<> inline const org::apache::arrow::flatbuf::FixedSizeList *SparseTensor::type_as<org::apache::arrow::flatbuf::FixedSizeList>() const {
  return type_as_FixedSizeList();
}

template<> inline const org::apache::arrow::flatbuf::Map *SparseTensor::type_as<org::apache::arrow::flatbuf::Map>() const {
  return type_as_Map();
}

template<> inline const org::apache::arrow::flatbuf::Duration *SparseTensor::type_as<org::apache::arrow::flatbuf::Duration>() const {
  return type_as_Duration();
}

template<> inline const org::apache::arrow::flatbuf::LargeBinary *SparseTensor::type_as<org::apache::arrow::flatbuf::LargeBinary>() const {
  return type_as_LargeBinary();
}

template<> inline const org::apache::arrow::flatbuf::LargeUtf8 *SparseTensor::type_as<org::apache::arrow::flatbuf::LargeUtf8>() const {
  return type_as_LargeUtf8();
}

template<> inline const org::apache::arrow::flatbuf::LargeList *SparseTensor::type_as<org::apache::arrow::flatbuf::LargeList>() const {
  return type_as_LargeList();
}

template<> inline const org::apache::arrow::flatbuf::SparseTensorIndexCOO *SparseTensor::sparseIndex_as<org::apache::arrow::flatbuf::SparseTensorIndexCOO>() const {
  return sparseIndex_as_SparseTensorIndexCOO();
}

template<> inline const org::apache::arrow::flatbuf::SparseMatrixIndexCSX *SparseTensor::sparseIndex_as<org::apache::arrow::flatbuf::SparseMatrixIndexCSX>() const {
  return sparseIndex_as_SparseMatrixIndexCSX();
}

template<> inline const org::apache::arrow::flatbuf::SparseTensorIndexCSF *SparseTensor::sparseIndex_as<org::apache::arrow::flatbuf::SparseTensorIndexCSF>() const {
  return sparseIndex_as_SparseTensorIndexCSF();
}

struct SparseTensorBuilder {
  typedef SparseTensor Table;
  flatbuffers::FlatBufferBuilder &fbb_;
  flatbuffers::uoffset_t start_;
  void add_type_type(org::apache::arrow::flatbuf::Type type_type) {
    fbb_.AddElement<uint8_t>(SparseTensor::VT_TYPE_TYPE, static_cast<uint8_t>(type_type), 0);
  }
  void add_type(flatbuffers::Offset<void> type) {
    fbb_.AddOffset(SparseTensor::VT_TYPE, type);
  }
  void add_shape(flatbuffers::Offset<flatbuffers::Vector<flatbuffers::Offset<org::apache::arrow::flatbuf::TensorDim>>> shape) {
    fbb_.AddOffset(SparseTensor::VT_SHAPE, shape);
  }
  void add_non_zero_length(int64_t non_zero_length) {
    fbb_.AddElement<int64_t>(SparseTensor::VT_NON_ZERO_LENGTH, non_zero_length, 0);
  }
  void add_sparseIndex_type(org::apache::arrow::flatbuf::SparseTensorIndex sparseIndex_type) {
    fbb_.AddElement<uint8_t>(SparseTensor::VT_SPARSEINDEX_TYPE, static_cast<uint8_t>(sparseIndex_type), 0);
  }
  void add_sparseIndex(flatbuffers::Offset<void> sparseIndex) {
    fbb_.AddOffset(SparseTensor::VT_SPARSEINDEX, sparseIndex);
  }
  void add_data(const org::apache::arrow::flatbuf::Buffer *data) {
    fbb_.AddStruct(SparseTensor::VT_DATA, data);
  }
  explicit SparseTensorBuilder(flatbuffers::FlatBufferBuilder &_fbb)
        : fbb_(_fbb) {
    start_ = fbb_.StartTable();
  }
  SparseTensorBuilder &operator=(const SparseTensorBuilder &);
  flatbuffers::Offset<SparseTensor> Finish() {
    const auto end = fbb_.EndTable(start_);
    auto o = flatbuffers::Offset<SparseTensor>(end);
    fbb_.Required(o, SparseTensor::VT_TYPE);
    fbb_.Required(o, SparseTensor::VT_SHAPE);
    fbb_.Required(o, SparseTensor::VT_SPARSEINDEX);
    fbb_.Required(o, SparseTensor::VT_DATA);
    return o;
  }
};

inline flatbuffers::Offset<SparseTensor> CreateSparseTensor(
    flatbuffers::FlatBufferBuilder &_fbb,
    org::apache::arrow::flatbuf::Type type_type = org::apache::arrow::flatbuf::Type::NONE,
    flatbuffers::Offset<void> type = 0,
    flatbuffers::Offset<flatbuffers::Vector<flatbuffers::Offset<org::apache::arrow::flatbuf::TensorDim>>> shape = 0,
    int64_t non_zero_length = 0,
    org::apache::arrow::flatbuf::SparseTensorIndex sparseIndex_type = org::apache::arrow::flatbuf::SparseTensorIndex::NONE,
    flatbuffers::Offset<void> sparseIndex = 0,
    const org::apache::arrow::flatbuf::Buffer *data = 0) {
  SparseTensorBuilder builder_(_fbb);
  builder_.add_non_zero_length(non_zero_length);
  builder_.add_data(data);
  builder_.add_sparseIndex(sparseIndex);
  builder_.add_shape(shape);
  builder_.add_type(type);
  builder_.add_sparseIndex_type(sparseIndex_type);
  builder_.add_type_type(type_type);
  return builder_.Finish();
}

inline flatbuffers::Offset<SparseTensor> CreateSparseTensorDirect(
    flatbuffers::FlatBufferBuilder &_fbb,
    org::apache::arrow::flatbuf::Type type_type = org::apache::arrow::flatbuf::Type::NONE,
    flatbuffers::Offset<void> type = 0,
    const std::vector<flatbuffers::Offset<org::apache::arrow::flatbuf::TensorDim>> *shape = nullptr,
    int64_t non_zero_length = 0,
    org::apache::arrow::flatbuf::SparseTensorIndex sparseIndex_type = org::apache::arrow::flatbuf::SparseTensorIndex::NONE,
    flatbuffers::Offset<void> sparseIndex = 0,
    const org::apache::arrow::flatbuf::Buffer *data = 0) {
  auto shape__ = shape ? _fbb.CreateVector<flatbuffers::Offset<org::apache::arrow::flatbuf::TensorDim>>(*shape) : 0;
  return org::apache::arrow::flatbuf::CreateSparseTensor(
      _fbb,
      type_type,
      type,
      shape__,
      non_zero_length,
      sparseIndex_type,
      sparseIndex,
      data);
}

inline bool VerifySparseTensorIndex(flatbuffers::Verifier &verifier, const void *obj, SparseTensorIndex type) {
  switch (type) {
    case SparseTensorIndex::NONE: {
      return true;
    }
    case SparseTensorIndex::SparseTensorIndexCOO: {
      auto ptr = reinterpret_cast<const org::apache::arrow::flatbuf::SparseTensorIndexCOO *>(obj);
      return verifier.VerifyTable(ptr);
    }
    case SparseTensorIndex::SparseMatrixIndexCSX: {
      auto ptr = reinterpret_cast<const org::apache::arrow::flatbuf::SparseMatrixIndexCSX *>(obj);
      return verifier.VerifyTable(ptr);
    }
    case SparseTensorIndex::SparseTensorIndexCSF: {
      auto ptr = reinterpret_cast<const org::apache::arrow::flatbuf::SparseTensorIndexCSF *>(obj);
      return verifier.VerifyTable(ptr);
    }
    default: return true;
  }
}

inline bool VerifySparseTensorIndexVector(flatbuffers::Verifier &verifier, const flatbuffers::Vector<flatbuffers::Offset<void>> *values, const flatbuffers::Vector<uint8_t> *types) {
  if (!values || !types) return !values && !types;
  if (values->size() != types->size()) return false;
  for (flatbuffers::uoffset_t i = 0; i < values->size(); ++i) {
    if (!VerifySparseTensorIndex(
        verifier,  values->Get(i), types->GetEnum<SparseTensorIndex>(i))) {
      return false;
    }
  }
  return true;
}

inline const org::apache::arrow::flatbuf::SparseTensor *GetSparseTensor(const void *buf) {
  return flatbuffers::GetRoot<org::apache::arrow::flatbuf::SparseTensor>(buf);
}

inline const org::apache::arrow::flatbuf::SparseTensor *GetSizePrefixedSparseTensor(const void *buf) {
  return flatbuffers::GetSizePrefixedRoot<org::apache::arrow::flatbuf::SparseTensor>(buf);
}

inline bool VerifySparseTensorBuffer(
    flatbuffers::Verifier &verifier) {
  return verifier.VerifyBuffer<org::apache::arrow::flatbuf::SparseTensor>(nullptr);
}

inline bool VerifySizePrefixedSparseTensorBuffer(
    flatbuffers::Verifier &verifier) {
  return verifier.VerifySizePrefixedBuffer<org::apache::arrow::flatbuf::SparseTensor>(nullptr);
}

inline void FinishSparseTensorBuffer(
    flatbuffers::FlatBufferBuilder &fbb,
    flatbuffers::Offset<org::apache::arrow::flatbuf::SparseTensor> root) {
  fbb.Finish(root);
}

inline void FinishSizePrefixedSparseTensorBuffer(
    flatbuffers::FlatBufferBuilder &fbb,
    flatbuffers::Offset<org::apache::arrow::flatbuf::SparseTensor> root) {
  fbb.FinishSizePrefixed(root);
}

}  // namespace flatbuf
}  // namespace arrow
}  // namespace apache
}  // namespace org

#endif  // FLATBUFFERS_GENERATED_SPARSETENSOR_ORG_APACHE_ARROW_FLATBUF_H_