ov-intx.h

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////////////////////////////////////////////////////////////////////////
//
// Copyright (C) 2004-2023 The Octave Project Developers
//
// See the file COPYRIGHT.md in the top-level directory of this
// distribution or <https://octave.org/copyright/>.
//
// This file is part of Octave.
//
// Octave is free software: you can redistribute it and/or modify it
// under the terms of the GNU General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// Octave is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with Octave; see the file COPYING.  If not, see
// <https://www.gnu.org/licenses/>.
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////////////////////////////////////////////////////////////////////////
 
// FIXME: Do not uncomment these lines to have this file included only once.
//        The build will break (2/6/2016).
// #if ! defined (octave_ov_intx_h)
// #define octave_ov_intx_h 1
 
#include "octave-config.h"
 
#include <cstdlib>
 
#include <iosfwd>
#include <string>
 
#include "mx-base.h"
#include "str-vec.h"
 
#include "error.h"
#include "mxarray.h"
#include "oct-stream.h"
#include "ov-base.h"
#include "ov-base-int.h"
#include "ov-typeinfo.h"
#include "errwarn.h"
 
#include "ov-re-mat.h"
#include "ov-scalar.h"
 
class
OCTINTERP_API
OCTAVE_VALUE_INT_MATRIX_T
  : public octave_base_int_matrix<intNDArray<OCTAVE_INT_T>>
{
public:
 
  OCTAVE_VALUE_INT_MATRIX_T (void)
    : octave_base_int_matrix<intNDArray<OCTAVE_INT_T>> () { }
 
  OCTAVE_VALUE_INT_MATRIX_T (const intNDArray<OCTAVE_INT_T>& nda)
    : octave_base_int_matrix<intNDArray<OCTAVE_INT_T>> (nda) { }
 
  OCTAVE_VALUE_INT_MATRIX_T (const Array<OCTAVE_INT_T>& nda)
    : octave_base_int_matrix<intNDArray<OCTAVE_INT_T>>
      (intNDArray<OCTAVE_INT_T> (nda)) { }
 
  ~OCTAVE_VALUE_INT_MATRIX_T (void) = default;
 
  octave_base_value * clone (void) const
  { return new OCTAVE_VALUE_INT_MATRIX_T (*this); }
 
  octave_base_value * empty_clone (void) const
  { return new OCTAVE_VALUE_INT_MATRIX_T (); }
 
  bool OCTAVE_TYPE_PREDICATE_FUNCTION (void) const { return true; }
 
  bool isinteger (void) const { return true; }
 
  builtin_type_t builtin_type (void) const { return OCTAVE_INT_BTYP; }
 
public:
 
  int8NDArray
  int8_array_value (void) const { return int8NDArray (m_matrix); }
 
  int16NDArray
  int16_array_value (void) const { return int16NDArray (m_matrix); }
 
  int32NDArray
  int32_array_value (void) const { return int32NDArray (m_matrix); }
 
  int64NDArray
  int64_array_value (void) const { return int64NDArray (m_matrix); }
 
  uint8NDArray
  uint8_array_value (void) const { return uint8NDArray (m_matrix); }
 
  uint16NDArray
  uint16_array_value (void) const { return uint16NDArray (m_matrix); }
 
  uint32NDArray
  uint32_array_value (void) const { return uint32NDArray (m_matrix); }
 
  uint64NDArray
  uint64_array_value (void) const { return uint64NDArray (m_matrix); }
 
  double
  double_value (bool = false) const
  {
    double retval;
 
    if (isempty ())
      err_invalid_conversion (type_name (), "real scalar");
 
    warn_implicit_conversion ("Octave:array-to-scalar",
                              type_name (), "real scalar");
 
    retval = m_matrix(0).double_value ();
 
    return retval;
  }
 
  float
  float_value (bool = false) const
  {
    float retval;
 
    if (isempty ())
      err_invalid_conversion (type_name (), "real scalar");
 
    warn_implicit_conversion ("Octave:array-to-scalar",
                              type_name (), "real scalar");
 
    retval = m_matrix(0).float_value ();
 
    return retval;
  }
 
  double scalar_value (bool = false) const { return double_value (); }
 
  float float_scalar_value (bool = false) const { return float_value (); }
 
  Matrix
  matrix_value (bool = false) const
  {
    Matrix retval;
    dim_vector dv = dims ();
    if (dv.ndims () > 2)
      error ("invalid conversion of %s to Matrix", type_name ().c_str ());
 
    retval = Matrix (dv(0), dv(1));
    double *vec = retval.fortran_vec ();
    octave_idx_type nel = m_matrix.numel ();
    for (octave_idx_type i = 0; i < nel; i++)
      vec[i] = m_matrix(i).double_value ();
 
    return retval;
  }
 
  FloatMatrix
  float_matrix_value (bool = false) const
  {
    FloatMatrix retval;
    dim_vector dv = dims ();
    if (dv.ndims () > 2)
      error ("invalid conversion of %s to FloatMatrix", type_name ().c_str ());
 
    retval = FloatMatrix (dv(0), dv(1));
    float *vec = retval.fortran_vec ();
    octave_idx_type nel = m_matrix.numel ();
    for (octave_idx_type i = 0; i < nel; i++)
      vec[i] = m_matrix(i).float_value ();
 
    return retval;
  }
 
  ComplexMatrix
  complex_matrix_value (bool = false) const
  {
    ComplexMatrix retval;
    dim_vector dv = dims ();
    if (dv.ndims () > 2)
      error ("invalid conversion of %s to Matrix", type_name ().c_str ());
 
    retval = ComplexMatrix (dv(0), dv(1));
    Complex *vec = retval.fortran_vec ();
    octave_idx_type nel = m_matrix.numel ();
    for (octave_idx_type i = 0; i < nel; i++)
      vec[i] = Complex (m_matrix(i).double_value ());
 
    return retval;
  }
 
  FloatComplexMatrix
  float_complex_matrix_value (bool = false) const
  {
    FloatComplexMatrix retval;
    dim_vector dv = dims ();
    if (dv.ndims () > 2)
      error ("invalid conversion of %s to FloatMatrix", type_name ().c_str ());
 
    retval = FloatComplexMatrix (dv(0), dv(1));
    FloatComplex *vec = retval.fortran_vec ();
    octave_idx_type nel = m_matrix.numel ();
    for (octave_idx_type i = 0; i < nel; i++)
      vec[i] = FloatComplex (m_matrix(i).float_value ());
 
    return retval;
  }
 
  NDArray
  array_value (bool = false) const
  {
    NDArray retval (m_matrix.dims ());
    double *vec = retval.fortran_vec ();
    octave_idx_type nel = m_matrix.numel ();
    for (octave_idx_type i = 0; i < nel; i++)
      vec[i] = m_matrix(i).double_value ();
    return retval;
  }
 
  FloatNDArray
  float_array_value (bool = false) const
  {
    FloatNDArray retval (m_matrix.dims ());
    float *vec = retval.fortran_vec ();
    octave_idx_type nel = m_matrix.numel ();
    for (octave_idx_type i = 0; i < nel; i++)
      vec[i] = m_matrix(i).float_value ();
    return retval;
  }
 
  ComplexNDArray
  complex_array_value (bool = false) const
  {
    ComplexNDArray retval (m_matrix.dims ());
    Complex *vec = retval.fortran_vec ();
    octave_idx_type nel = m_matrix.numel ();
    for (octave_idx_type i = 0; i < nel; i++)
      vec[i] = Complex (m_matrix(i).double_value ());
    return retval;
  }
 
  FloatComplexNDArray
  float_complex_array_value (bool = false) const
  {
    FloatComplexNDArray retval (m_matrix.dims ());
    FloatComplex *vec = retval.fortran_vec ();
    octave_idx_type nel = m_matrix.numel ();
    for (octave_idx_type i = 0; i < nel; i++)
      vec[i] = FloatComplex (m_matrix(i).float_value ());
    return retval;
  }
 
  boolNDArray
  bool_array_value (bool warn = false) const
  {
    boolNDArray retval (dims ());
 
    octave_idx_type nel = numel ();
 
    if (warn && m_matrix.any_element_not_one_or_zero ())
      warn_logical_conversion ();
 
    bool *vec = retval.fortran_vec ();
    for (octave_idx_type i = 0; i < nel; i++)
      vec[i] = m_matrix(i).bool_value ();
 
    return retval;
  }
 
  charNDArray
  char_array_value (bool = false) const
  {
    charNDArray retval (dims ());
 
    octave_idx_type nel = numel ();
 
    char *vec = retval.fortran_vec ();
    for (octave_idx_type i = 0; i < nel; i++)
      vec[i] = m_matrix(i).char_value ();
 
    return retval;
  }
 
  // Use matrix_ref here to clear index cache.
  void increment (void)
  {
    matrix_ref () += OCTAVE_INT_T (1);
  }
 
  void decrement (void)
  {
    matrix_ref () -= OCTAVE_INT_T (1);
  }
 
  void changesign (void)
  {
    matrix_ref ().changesign ();
  }
 
  octave::idx_vector index_vector (bool /* require_integers */ = false) const
  {
    return m_idx_cache ? *m_idx_cache
           : set_idx_cache (octave::idx_vector (m_matrix));
  }
 
  int write (octave::stream& os, int block_size,
             oct_data_conv::data_type output_type, int skip,
             octave::mach_info::float_format flt_fmt) const
  { return os.write (m_matrix, block_size, output_type, skip, flt_fmt); }
 
  mxArray * as_mxArray (bool interleaved) const
  {
    mxArray *retval = new mxArray (interleaved, OCTAVE_INT_MX_CLASS, dims (),
                                   mxREAL);
 
    OCTAVE_INT_T::val_type *pd
      = static_cast<OCTAVE_INT_T::val_type *> (retval->get_data ());
 
    mwSize nel = numel ();
 
    const OCTAVE_INT_T *pdata = m_matrix.data ();
 
    for (mwIndex i = 0; i < nel; i++)
      pd[i] = pdata[i].value ();
 
    return retval;
  }
 
  octave_value map (unary_mapper_t umap) const
  {
    switch (umap)
      {
      case umap_abs:
        return m_matrix.abs ();
      case umap_signum:
        return m_matrix.signum ();
      case umap_ceil:
      case umap_conj:
      case umap_fix:
      case umap_floor:
      case umap_real:
      case umap_round:
        return m_matrix;
      case umap_imag:
        return intNDArray<OCTAVE_INT_T> (m_matrix.dims (), OCTAVE_INT_T ());
      case umap_isnan:
      case umap_isna:
      case umap_isinf:
        return boolNDArray (m_matrix.dims (), false);
      case umap_isfinite:
        return boolNDArray (m_matrix.dims (), true);
 
      // Special cases for Matlab compatibility.
      case umap_xtolower:
      case umap_xtoupper:
        return m_matrix;
 
      default:
        {
          // FIXME: we should be able to do better than converting to
          // double here.
          octave_matrix m (array_value ());
          return m.map (umap);
        }
      }
  }
 
  bool save_hdf5 (octave_hdf5_id loc_id, const char *name, bool flag)
  {
    return save_hdf5_internal (loc_id, s_hdf5_save_type, name, flag);
  }
 
  bool load_hdf5 (octave_hdf5_id loc_id, const char *name)
  {
    return load_hdf5_internal (loc_id, s_hdf5_save_type, name);
  }
 
private:
 
  static octave_hdf5_id s_hdf5_save_type;
 
  DECLARE_OV_TYPEID_FUNCTIONS_AND_DATA
};
 
class
OCTINTERP_API
OCTAVE_VALUE_INT_SCALAR_T
  : public octave_base_int_scalar<OCTAVE_INT_T>
{
public:
 
  OCTAVE_VALUE_INT_SCALAR_T (void)
    : octave_base_int_scalar<OCTAVE_INT_T> () { }
 
  OCTAVE_VALUE_INT_SCALAR_T (const OCTAVE_INT_T& nda)
    : octave_base_int_scalar<OCTAVE_INT_T> (nda) { }
 
  ~OCTAVE_VALUE_INT_SCALAR_T (void) = default;
 
  octave_base_value * clone (void) const
  { return new OCTAVE_VALUE_INT_SCALAR_T (*this); }
 
  octave_base_value * empty_clone (void) const
  { return new OCTAVE_VALUE_INT_MATRIX_T (); }
 
  octave_value do_index_op (const octave_value_list& idx,
                            bool resize_ok = false)
  {
    // FIXME: this doesn't solve the problem of
    //
    //   a = 1; a([1,1], [1,1], [1,1])
    //
    // and similar constructions.  Hmm...
 
    // FIXME: using this constructor avoids narrowing the
    // 1x1 matrix back to a scalar value.  Need a better solution
    // to this problem.
 
    octave_value tmp
    (new OCTAVE_VALUE_INT_MATRIX_T
     (OCTAVE_VALUE_INT_NDARRAY_EXTRACTOR_FUNCTION ()));
 
    return tmp.index_op (idx, resize_ok);
  }
 
  bool OCTAVE_TYPE_PREDICATE_FUNCTION (void) const { return true; }
 
  bool isinteger (void) const { return true; }
 
  builtin_type_t builtin_type (void) const { return OCTAVE_INT_BTYP; }
 
public:
 
  octave_int8
  int8_scalar_value (void) const { return octave_int8 (scalar); }
 
  octave_int16
  int16_scalar_value (void) const { return octave_int16 (scalar); }
 
  octave_int32
  int32_scalar_value (void) const { return octave_int32 (scalar); }
 
  octave_int64
  int64_scalar_value (void) const { return octave_int64 (scalar); }
 
  octave_uint8
  uint8_scalar_value (void) const { return octave_uint8 (scalar); }
 
  octave_uint16
  uint16_scalar_value (void) const { return octave_uint16 (scalar); }
 
  octave_uint32
  uint32_scalar_value (void) const { return octave_uint32 (scalar); }
 
  octave_uint64
  uint64_scalar_value (void) const { return octave_uint64 (scalar); }
 
  int8NDArray
  int8_array_value (void) const
  { return int8NDArray (dim_vector (1, 1), int8_scalar_value ()); }
 
  int16NDArray
  int16_array_value (void) const
  { return int16NDArray (dim_vector (1, 1), int16_scalar_value ()); }
 
  int32NDArray
  int32_array_value (void) const
  { return int32NDArray (dim_vector (1, 1), int32_scalar_value ()); }
 
  int64NDArray
  int64_array_value (void) const
  { return int64NDArray (dim_vector (1, 1), int64_scalar_value ()); }
 
  uint8NDArray
  uint8_array_value (void) const
  { return uint8NDArray (dim_vector (1, 1), uint8_scalar_value ()); }
 
  uint16NDArray
  uint16_array_value (void) const
  { return uint16NDArray (dim_vector (1, 1), uint16_scalar_value ()); }
 
  uint32NDArray
  uint32_array_value (void) const
  { return uint32NDArray (dim_vector (1, 1), uint32_scalar_value ()); }
 
  uint64NDArray
  uint64_array_value (void) const
  { return uint64NDArray (dim_vector (1, 1), uint64_scalar_value ()); }
 
  octave_value resize (const dim_vector& dv, bool fill = false) const
  {
    if (fill)
      {
        intNDArray<OCTAVE_INT_T> retval (dv, 0);
        if (dv.numel ())
          retval(0) = scalar;
        return retval;
      }
    else
      {
        intNDArray<OCTAVE_INT_T> retval (dv);
        if (dv.numel ())
          retval(0) = scalar;
        return retval;
      }
  }
 
  double double_value (bool = false) const { return scalar.double_value (); }
 
  float float_value (bool = false) const { return scalar.float_value (); }
 
  double scalar_value (bool = false) const { return scalar.double_value (); }
 
  float float_scalar_value (bool = false) const
  { return scalar.float_value (); }
 
  Matrix
  matrix_value (bool = false) const
  {
    Matrix retval (1, 1);
    retval(0, 0) = scalar.double_value ();
    return retval;
  }
 
  FloatMatrix
  float_matrix_value (bool = false) const
  {
    FloatMatrix retval (1, 1);
    retval(0, 0) = scalar.float_value ();
    return retval;
  }
 
  ComplexMatrix
  complex_matrix_value (bool = false) const
  {
    ComplexMatrix retval (1, 1);
    retval(0, 0) = Complex (scalar.double_value ());
    return retval;
  }
 
  FloatComplexMatrix
  float_complex_matrix_value (bool = false) const
  {
    FloatComplexMatrix retval (1, 1);
    retval(0, 0) = FloatComplex (scalar.float_value ());
    return retval;
  }
 
  NDArray
  array_value (bool = false) const
  {
    NDArray retval (dim_vector (1, 1));
    retval(0) = scalar.double_value ();
    return retval;
  }
 
  FloatNDArray
  float_array_value (bool = false) const
  {
    FloatNDArray retval (dim_vector (1, 1));
    retval(0) = scalar.float_value ();
    return retval;
  }
 
  ComplexNDArray
  complex_array_value (bool = false) const
  {
    ComplexNDArray retval (dim_vector (1, 1));
    retval(0) = Complex (scalar.double_value ());
    return retval;
  }
 
  FloatComplexNDArray
  float_complex_array_value (bool = false) const
  {
    FloatComplexNDArray retval (dim_vector (1, 1));
    retval(0) = FloatComplex (scalar.float_value ());
    return retval;
  }
 
  bool bool_value (bool warn = false) const
  {
    if (warn && scalar != 0.0 && scalar != 1.0)
      warn_logical_conversion ();
 
    return scalar.bool_value ();
  }
 
  boolNDArray
  bool_array_value (bool warn = false) const
  {
    boolNDArray retval (dim_vector (1, 1));
 
    if (warn && scalar != 0.0 && scalar != 1.0)
      warn_logical_conversion ();
 
    retval(0) = scalar.bool_value ();
 
    return retval;
  }
 
  charNDArray
  char_array_value (bool = false) const
  {
    charNDArray retval (dim_vector (1, 1));
    retval(0) = scalar.char_value ();
    return retval;
  }
 
  void increment (void)
  {
    scalar += OCTAVE_INT_T (1);
  }
 
  void decrement (void)
  {
    scalar -= OCTAVE_INT_T (1);
  }
 
  octave::idx_vector index_vector (bool /* require_integers */ = false) const
  { return octave::idx_vector (scalar); }
 
  int write (octave::stream& os, int block_size,
             oct_data_conv::data_type output_type, int skip,
             octave::mach_info::float_format flt_fmt) const
  {
    return os.write (OCTAVE_VALUE_INT_NDARRAY_EXTRACTOR_FUNCTION (),
                     block_size, output_type, skip, flt_fmt);
  }
 
  mxArray * as_mxArray (bool interleaved) const
  {
    mxArray *retval = new mxArray (interleaved, OCTAVE_INT_MX_CLASS, 1, 1,
                                   mxREAL);
 
    OCTAVE_INT_T::val_type *pd
      = static_cast<OCTAVE_INT_T::val_type *> (retval->get_data ());
 
    pd[0] = scalar.value ();
 
    return retval;
  }
 
  octave_value map (unary_mapper_t umap) const
  {
    switch (umap)
      {
      case umap_abs:
        return scalar.abs ();
      case umap_signum:
        return scalar.signum ();
      case umap_ceil:
      case umap_conj:
      case umap_fix:
      case umap_floor:
      case umap_real:
      case umap_round:
        return scalar;
      case umap_imag:
        return OCTAVE_INT_T ();
      case umap_isnan:
      case umap_isna:
      case umap_isinf:
        return false;
      case umap_isfinite:
        return true;
 
      // Special cases for Matlab compatibility.
      case umap_xtolower:
      case umap_xtoupper:
        return scalar;
 
      default:
        {
          octave_scalar m (scalar_value ());
          return m.map (umap);
        }
      }
  }
 
  bool save_hdf5 (octave_hdf5_id loc_id, const char *name, bool flag)
  {
    return save_hdf5_internal (loc_id, s_hdf5_save_type, name, flag);
  }
 
  bool load_hdf5 (octave_hdf5_id loc_id, const char *name)
  {
    return load_hdf5_internal (loc_id, s_hdf5_save_type, name);
  }
 
private:
 
  static octave_hdf5_id s_hdf5_save_type;
 
  DECLARE_OV_TYPEID_FUNCTIONS_AND_DATA
};