1433 lines
34 KiB
Prolog
1433 lines
34 KiB
Prolog
/*************************************************************************
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* *
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* YAP Prolog *
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* *
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* Yap Prolog was developed at NCCUP - Universidade do Porto *
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* *
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* Copyright L.Damas, V.S.Costa and Universidade do Porto 1985-2006 *
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* *
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**************************************************************************
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* *
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* File: matrix.yap *
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* Last rev: *
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* mods: *
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* comments: Have some fun with blobs *
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* *
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*************************************************************************/
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/**
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* @file matrix.yap
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* @author VITOR SANTOS COSTA <vsc@VITORs-MBP.lan>
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* @date Tue Nov 17 22:53:40 2015
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*
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* @brief Vector, Array and Matrix library
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*
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*
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*/
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:- module( matrix,
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[(<==)/2, op(800, xfx, <==),
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(+=)/2, op(800, xfx, +=),
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(-=)/2, op(800, xfx, -=),
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op(700, xfx, in),
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op(700, xfx, ins),
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op(450, xfx, ..), % should bind more tightly than \/
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op(710, xfx, of), of/2,
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matrix_new/3,
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matrix_new/4,
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matrix_new_set/4,
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matrix_dims/2,
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matrix_ndims/2,
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matrix_size/2,
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matrix_type/2,
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matrix_to_list/2,
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matrix_to_lists/2,
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matrix_get/3,
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matrix_set/3,
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matrix_set_all/2,
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matrix_add/3,
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matrix_inc/2,
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matrix_dec/2,
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matrix_mult/2,
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matrix_inc/3,
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matrix_dec/3,
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matrix_arg_to_offset/3,
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matrix_offset_to_arg/3,
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matrix_max/2,
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matrix_maxarg/2,
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matrix_min/2,
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matrix_minarg/2,
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matrix_sum/2,
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matrix_sum_out/3,
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matrix_sum_out_several/3,
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matrix_sum_logs_out/3,
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matrix_sum_logs_out_several/3,
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matrix_add_to_all/2,
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matrix_agg_lines/3,
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matrix_agg_cols/3,
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matrix_to_logs/1,
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matrix_to_exps/1,
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matrix_to_exps2/1,
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matrix_to_logs/2,
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matrix_to_exps/2,
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matrix_op/4,
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matrix_op_to_all/4,
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matrix_op_to_lines/4,
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matrix_op_to_cols/4,
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matrix_shuffle/3,
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matrix_transpose/2,
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matrix_set_all_that_disagree/5,
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matrix_expand/3,
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matrix_select/4,
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matrix_column/3,
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matrix_get/2,
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matrix_set/2,
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foreach/2,
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foreach/4,
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op(50, yf, []),
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op(50, yf, '()'),
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op(100, xfy, '.'),
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op(100, fy, '.')
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]).
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/** @defgroup matrix Matrix Library
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@ingroup library
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@{
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This package provides a fast implementation of multi-dimensional
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matrices of integers and floats. In contrast to dynamic arrays, these
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matrices are multi-dimensional and compact. In contrast to static
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arrays. these arrays are allocated in the stack, and disppear in
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backtracking. Matrices are available by loading the library
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`library(matrix)`. They are multimensional objects of type:
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+ <tt>terms</tt>: Prolog terms
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+ <tt>ints</tt>: bounded integers, represented as an opaque term. The
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maximum integer depends on hardware, but should be obtained from the
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natural size of the machine.
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+ <tt>floats</tt>: floating-point numbers, represented as an opaque term.
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Matrix elements can be accessed through the `matrix_get/2`
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predicate or through an <tt>R</tt>-inspired access notation (that uses the ciao
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style extension to `[]`). Examples include:
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+ Access the second row, third column of matrix <tt>X</tt>. Indices start from
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`0`,
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~~~~
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_E_ <== _X_[2,3]
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~~~~
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+ Access all the second row, the output is a list ofe elements.
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~~~~
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_L_ <== _X_[2,_]
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~~~~
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+ Access all the second, thrd and fourth rows, the output is a list of elements.
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~~~~
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_L_ <== _X_[2..4,_]
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~~~~
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+ Access all the fifth, sixth and eight rows, the output is a list of elements.
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~~~~
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_L_ <== _X_[2..4+3,_]
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~~~~
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The matrix library also supports a B-Prolog/ECliPSe inspired `foreach`iterator to iterate over
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elements of a matrix:
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+ Copy a vector, element by element.
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~~~~
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foreach(I in 0..N1, X[I] <== Y[I])
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~~~~
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+ The lower-triangular matrix _Z_ is the difference between the
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lower-triangular and upper-triangular parts of _X_.
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~~~~
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foreach([I in 0..N1, J in I..N1], Z[I,J] <== X[I,J] - X[I,J])
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~~~~
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+ Add all elements of a matrix by using _Sum_ as an accumulator.
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~~~~
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foreach([I in 0..N1, J in 0..N1], plus(X[I,J]), 0, Sum)
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~~~~
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Notice that the library does not support all known matrix operations. Please
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contact the YAP maintainers if you require extra functionality.
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+ _X_ <== array[ _Dim1_,..., _Dimn_] of _Objects_
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The of/2 operator can be used to create a new array of
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_Objects_. The objects supported are:
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+ `Unbound Variable`
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create an array of free variables
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+ `ints `
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create an array of integers
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+ `floats `
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create an array of floating-point numbers
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+ `_I_: _J_`
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create an array with integers from _I_ to _J_
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+ `[..]`
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create an array from the values in a list
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The dimensions can be given as an integer, and the matrix will be
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indexed `C`-style from `0..( _Max_-1)`, or can be given
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as an interval ` _Base_.. _Limit_`. In the latter case,
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matrices of integers and of floating-point numbers should have the same
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_Base_ on every dimension.
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*/
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/*
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A matrix is an object with integer or floating point numbers. A matrix
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may have a number of dimensions. These routines implement a number of
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routine manipulation procedures.
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'$matrix'(Type,D1,D2,...,Dn,data(......))
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Type = int, float
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Operations:
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typedef enum {
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MAT_SUM=0,
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MAT_SUB=1,
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MAT_TIMES=2,
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MAT_DIV=3,
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MAT_IDIV=4,
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MAT_ZDIV=5
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} op_type;
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*/
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/** @pred ?_LHS_ <== ?_RHS_ is semidet
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General matrix assignment operation. It evaluates the right-hand side
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according to the
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left-hand side and to the matrix:
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+ if _LHS_ is part of an integer or floating-point matrix,
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perform non-backtrackable assignment.
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+ other unify left-hand side and right-hand size.
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The right-hand side supports the following operators:
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+ `[]/2`
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written as _M_[ _Offset_]: obtain an element or list of elements
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of matrix _M_ at offset _Offset_.
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+ `matrix/1`
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create a vector from a list
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+ `matrix/2`
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create a matrix from a list. Options are:
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+ dim=
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a list of dimensions
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+ type=
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integers, floating-point or terms
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+ base=
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a list of base offsets per dimension (all must be the same for arrays of
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integers and floating-points
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+ `matrix/3`
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create matrix giving two options
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+ `dim/1`
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list with matrix dimensions
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+ `nrow/1`
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number of rows in bi-dimensional matrix
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+ `ncol/1`
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number of columns in bi-dimensional matrix
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+ `length/1`
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size of a matrix
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+ `size/1`
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size of a matrix
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+ `max/1`
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maximum element of a numeric matrix
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+ `maxarg/1`
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argument of maximum element of a numeric matrix
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+ `min/1`
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minimum element of a numeric matrix
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+ `minarg/1`
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argument of minimum element of a numeric matrix
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+ `list/1`
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represent matrix as a list
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+ `lists/2`
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represent matrix as list of embedded lists
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+ `../2`
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_I_.. _J_ generates a list with all integers from _I_ to
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_J_, included.
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+ `+/2`
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add two numbers, add two matrices element-by-element, or add a number to
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all elements of a matrix or list.
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+ `-/2 `
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subtract two numbers, subtract two matrices or lists element-by-element, or subtract a number from
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all elements of a matrix or list
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+ `* /2`
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multiply two numbers, multiply two matrices or lists
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element-by-element, or multiply a number from all elements of a
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matrix or list
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+ `log/1`
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natural logarithm of a number, matrix or list
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+ `exp/1 `
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natural exponentiation of a number, matrix or list
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*/
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/** @pred matrix_add(+ _Matrix_,+ _Position_,+ _Operand_)
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Add _Operand_ to the element of _Matrix_ at position
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_Position_.
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*/
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/** @pred matrix_agg_cols(+ _Matrix_,+Operator,+ _Aggregate_)
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If _Matrix_ is a n-dimensional matrix, unify _Aggregate_ with
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the one dimensional matrix where each element is obtained by adding all
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Matrix elements with same first index. Currently, only addition is supported.
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*/
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/** @pred matrix_agg_lines(+ _Matrix_,+Operator,+ _Aggregate_)
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If _Matrix_ is a n-dimensional matrix, unify _Aggregate_ with
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the n-1 dimensional matrix where each element is obtained by adding all
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_Matrix_ elements with same last n-1 index. Currently, only addition is supported.
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*/
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/** @pred matrix_arg_to_offset(+ _Matrix_,+ _Position_,- _Offset_)
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Given matrix _Matrix_ return what is the numerical _Offset_ of
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the element at _Position_.
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*/
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/** @pred matrix_column(+ _Matrix_,+ _Column_,- _NewMatrix_)
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Select from _Matrix_ the column matching _Column_ as new matrix _NewMatrix_. _Column_ must have one less dimension than the original matrix.
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*/
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/** @pred matrix_dec(+ _Matrix_,+ _Position_)
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Decrement the element of _Matrix_ at position _Position_.
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*/
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/** @pred matrix_dec(+ _Matrix_,+ _Position_,- _Element_)
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Decrement the element of _Matrix_ at position _Position_ and
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unify with _Element_.
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*/
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/** @pred matrix_dims(+ _Matrix_,- _Dims_)
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Unify _Dims_ with a list of dimensions for _Matrix_.
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*/
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/** @pred matrix_expand(+ _Matrix_,+ _NewDimensions_,- _New_)
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Expand _Matrix_ to occupy new dimensions. The elements in
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_NewDimensions_ are either 0, for an existing dimension, or a
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positive integer with the size of the new dimension.
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*/
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/** @pred matrix_get(+ _Matrix_,+ _Position_,- _Elem_)
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Unify _Elem_ with the element of _Matrix_ at position
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_Position_.
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*/
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/** @pred matrix_get(+ _Matrix_[+ _Position_],- _Elem_)
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Unify _Elem_ with the element _Matrix_[ _Position_].
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*/
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/** @pred matrix_inc(+ _Matrix_,+ _Position_)
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Increment the element of _Matrix_ at position _Position_.
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*/
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/** @pred matrix_inc(+ _Matrix_,+ _Position_,- _Element_)
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Increment the element of _Matrix_ at position _Position_ and
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unify with _Element_.
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*/
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/** @pred matrix_max(+ _Matrix_,+ _Max_)
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Unify _Max_ with the maximum in matrix _Matrix_.
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*/
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/** @pred matrix_maxarg(+ _Matrix_,+ _Maxarg_)
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Unify _Max_ with the position of the maximum in matrix _Matrix_.
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*/
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/** @pred matrix_min(+ _Matrix_,+ _Min_)
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Unify _Min_ with the minimum in matrix _Matrix_.
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*/
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/** @pred matrix_minarg(+ _Matrix_,+ _Minarg_)
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Unify _Min_ with the position of the minimum in matrix _Matrix_.
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*/
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/** @pred matrix_ndims(+ _Matrix_,- _Dims_)
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Unify _NDims_ with the number of dimensions for _Matrix_.
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*/
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/** @pred matrix_new(+ _Type_,+ _Dims_,+ _List_,- _Matrix_)
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Create a new matrix _Matrix_ of type _Type_, which may be one of
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`ints` or `floats`, with dimensions _Dims_, and
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initialized from list _List_.
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||
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||
|
||
*/
|
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/** @pred matrix_new(+ _Type_,+ _Dims_,- _Matrix_)
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||
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||
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||
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Create a new matrix _Matrix_ of type _Type_, which may be one of
|
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`ints` or `floats`, and with a list of dimensions _Dims_.
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The matrix will be initialized to zeros.
|
||
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~~~~~
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?- matrix_new(ints,[2,3],Matrix).
|
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Matrix = {..}
|
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~~~~~
|
||
Notice that currently YAP will always write a matrix of numbers as `{..}`.
|
||
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||
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||
*/
|
||
/** @pred matrix_new_set(? _Dims_,+ _OldMatrix_,+ _Value_,- _NewMatrix_)
|
||
|
||
|
||
|
||
Create a new matrix _NewMatrix_ of type _Type_, with dimensions
|
||
_Dims_. The elements of _NewMatrix_ are set to _Value_.
|
||
|
||
|
||
*/
|
||
/** @pred matrix_offset_to_arg(+ _Matrix_,- _Offset_,+ _Position_)
|
||
|
||
|
||
|
||
Given a position _Position _ for matrix _Matrix_ return the
|
||
corresponding numerical _Offset_ from the beginning of the matrix.
|
||
|
||
|
||
*/
|
||
/** @pred matrix_op(+ _Matrix1_,+ _Matrix2_,+ _Op_,- _Result_)
|
||
|
||
|
||
|
||
_Result_ is the result of applying _Op_ to matrix _Matrix1_
|
||
and _Matrix2_. Currently, only addition (`+`) is supported.
|
||
|
||
|
||
*/
|
||
/** @pred matrix_op_to_all(+ _Matrix1_,+ _Op_,+ _Operand_,- _Result_)
|
||
|
||
|
||
|
||
_Result_ is the result of applying _Op_ to all elements of
|
||
_Matrix1_, with _Operand_ as the second argument. Currently,
|
||
only addition (`+`), multiplication (`\*`), and division
|
||
(`/`) are supported.
|
||
|
||
|
||
*/
|
||
/** @pred matrix_op_to_cols(+ _Matrix1_,+ _Cols_,+ _Op_,- _Result_)
|
||
|
||
|
||
|
||
_Result_ is the result of applying _Op_ to all elements of
|
||
_Matrix1_, with the corresponding element in _Cols_ as the
|
||
second argument. Currently, only addition (`+`) is
|
||
supported. Notice that _Cols_ will have n-1 dimensions.
|
||
|
||
|
||
*/
|
||
/** @pred matrix_op_to_lines(+ _Matrix1_,+ _Lines_,+ _Op_,- _Result_)
|
||
|
||
|
||
|
||
_Result_ is the result of applying _Op_ to all elements of
|
||
_Matrix1_, with the corresponding element in _Lines_ as the
|
||
second argument. Currently, only division (`/`) is supported.
|
||
|
||
|
||
*/
|
||
/** @pred matrix_select(+ _Matrix_,+ _Dimension_,+ _Index_,- _New_)
|
||
|
||
|
||
|
||
Select from _Matrix_ the elements who have _Index_ at
|
||
_Dimension_.
|
||
|
||
|
||
*/
|
||
/** @pred matrix_set(+ _Matrix_,+ _Position_,+ _Elem_)
|
||
|
||
|
||
|
||
Set the element of _Matrix_ at position
|
||
_Position_ to _Elem_.
|
||
|
||
|
||
*/
|
||
/** @pred matrix_set(+ _Matrix_[+ _Position_],+ _Elem_)
|
||
|
||
|
||
Set the element of _Matrix_[ _Position_] to _Elem_.
|
||
|
||
|
||
*/
|
||
/** @pred matrix_set_all(+ _Matrix_,+ _Elem_)
|
||
|
||
|
||
|
||
Set all element of _Matrix_ to _Elem_.
|
||
|
||
|
||
*/
|
||
/** @pred matrix_shuffle(+ _Matrix_,+ _NewOrder_,- _Shuffle_)
|
||
|
||
|
||
|
||
Shuffle the dimensions of matrix _Matrix_ according to
|
||
_NewOrder_. The list _NewOrder_ must have all the dimensions of
|
||
_Matrix_, starting from 0.
|
||
|
||
|
||
*/
|
||
/** @pred matrix_size(+ _Matrix_,- _NElems_)
|
||
|
||
|
||
|
||
Unify _NElems_ with the number of elements for _Matrix_.
|
||
|
||
|
||
*/
|
||
/** @pred matrix_sum(+ _Matrix_,+ _Sum_)
|
||
|
||
|
||
|
||
Unify _Sum_ with the sum of all elements in matrix _Matrix_.
|
||
|
||
|
||
*/
|
||
/** @pred matrix_to_list(+ _Matrix_,- _Elems_)
|
||
|
||
|
||
|
||
Unify _Elems_ with the list including all the elements in _Matrix_.
|
||
|
||
|
||
*/
|
||
/** @pred matrix_transpose(+ _Matrix_,- _Transpose_)
|
||
|
||
|
||
|
||
Transpose matrix _Matrix_ to _Transpose_. Equivalent to:
|
||
|
||
~~~~~
|
||
matrix_transpose(Matrix,Transpose) :-
|
||
matrix_shuffle(Matrix,[1,0],Transpose).
|
||
~~~~~
|
||
|
||
|
||
*/
|
||
/** @pred matrix_type(+ _Matrix_,- _Type_)
|
||
|
||
|
||
|
||
Unify _NElems_ with the type of the elements in _Matrix_.
|
||
|
||
|
||
*/
|
||
|
||
:- load_foreign_files([matrix], [], init_matrix).
|
||
|
||
:- multifile rhs_opaque/1, array_extension/2.
|
||
|
||
:- meta_predicate foreach(+,0), foreach(+,2, +, -).
|
||
|
||
:- use_module(library(maplist)).
|
||
:- use_module(library(mapargs)).
|
||
:- use_module(library(lists)).
|
||
|
||
( X <== '[]'(Dims0, array) of T ) :-
|
||
var(X),
|
||
( T== ints -> true ; T== floats),
|
||
!,
|
||
foldl( norm_dim, Dims0, Dims, Bases, 1, _Size ),
|
||
matrix_new( T , Dims, _, X ),
|
||
matrix_base(X, Bases).
|
||
( X <== '[]'(Dims0, array) of T ) :-
|
||
atom(X),
|
||
( T== ints -> true ; T== floats),
|
||
!,
|
||
foldl( norm_dim, Dims0, _Dims, _Bases, 1, Size ),
|
||
static_array( X, Size, [float] ).
|
||
( X <== '[]'(Dims0, array) of (I:J) ) :-
|
||
var(X),
|
||
integer(I),
|
||
integer(J),
|
||
!,
|
||
foldl( norm_dim, Dims0, Dims, Bases, 1, Size ),
|
||
matrix_seq(I, J, Dims, X),
|
||
matrixn_size(X, Size),
|
||
matrix_base(X, Bases).
|
||
|
||
( X <== '[]'(Dims0, array) of L ) :-
|
||
is_list(L),
|
||
!,
|
||
length( L, Size ), !,
|
||
foldl( norm_dim, Dims0, Dims, Bases, 1, Size ),
|
||
X <== matrix( L, [dim=Dims,base=Bases] ).
|
||
( X <== '[]'(Dims0, array) of Pattern ) :-
|
||
array_extension(Pattern, Goal),
|
||
!,
|
||
foldl( norm_dim, Dims0, Dims, Bases, 1, Size ),
|
||
call(Goal, Pattern, Dims, Size, L),
|
||
X <== matrix( L, [dim=Dims,base=Bases] ).
|
||
( LHS <== RHS ) :-
|
||
rhs(RHS, R),
|
||
set_lhs( LHS, R).
|
||
|
||
|
||
|
||
norm_dim( I..J, D, I, P0, P) :- !,
|
||
D is J+1-I,
|
||
P is P0*D.
|
||
norm_dim( I, I, 0, P0, P ) :-
|
||
P is P0*I.
|
||
|
||
|
||
rhs(RHS, RHS) :- var(RHS), !.
|
||
% base case
|
||
rhs(A, A) :- atom(A), !.
|
||
rhs(RHS, RHS) :- number(RHS), !.
|
||
rhs(RHS, RHS) :- opaque(RHS), !.
|
||
rhs(RHS, RHS) :- RHS = '$matrix'(_, _, _, _, _), !.
|
||
rhs(matrix(List), RHS) :- !,
|
||
rhs( List, A1),
|
||
new_matrix(A1, [], RHS).
|
||
rhs(matrix(List, Opt1), RHS) :- !,
|
||
rhs( List, A1),
|
||
new_matrix(A1, Opt1, RHS).
|
||
rhs(matrix(List, Opt1, Opt2), RHS) :- !,
|
||
rhs( List, A1),
|
||
new_matrix(A1, [Opt1, Opt2], RHS).
|
||
rhs(dim(RHS), Dims) :- !,
|
||
rhs(RHS, X1),
|
||
matrix_dims( X1, Dims ).
|
||
rhs(dims(RHS), Dims) :- !,
|
||
rhs(RHS, X1),
|
||
matrix_dims( X1, Dims ).
|
||
rhs(nrow(RHS), NRow) :- !,
|
||
rhs(RHS, X1),
|
||
matrix_dims( X1, [NRow,_] ).
|
||
rhs(ncol(RHS), NCol) :- !,
|
||
rhs(RHS, X1),
|
||
matrix_dims( X1, [_,NCol] ).
|
||
rhs(length(RHS), Size) :- !,
|
||
rhs(RHS, X1),
|
||
matrix_size( X1, Size ).
|
||
rhs(size(RHS), Size) :- !,
|
||
rhs(RHS, X1),
|
||
matrix_size( X1, Size ).
|
||
rhs(max(RHS), Size) :- !,
|
||
rhs(RHS, X1),
|
||
matrix_max( X1, Size ).
|
||
rhs(min(RHS), Size) :- !,
|
||
rhs(RHS, X1),
|
||
matrix_min( X1, Size ).
|
||
rhs(maxarg(RHS), Size) :- !,
|
||
rhs(RHS, X1),
|
||
matrix_maxarg( X1, Size ).
|
||
rhs(minarg(RHS), Size) :- !,
|
||
rhs(RHS, X1),
|
||
matrix_minarg( X1, Size ).
|
||
rhs(list(RHS), List) :- !,
|
||
rhs(RHS, X1),
|
||
matrix_to_list( X1, List ).
|
||
rhs(lists(RHS), List) :- !,
|
||
rhs(RHS, X1),
|
||
matrix_to_lists( X1, List ).
|
||
rhs('[]'([Args], floats(RHS)), Val) :-
|
||
integer(RHS),
|
||
integer(Args),
|
||
!,
|
||
get_float_from_address(RHS,Args,Val).
|
||
rhs('[]'(Args, RHS), Val) :-
|
||
!,
|
||
rhs(RHS, X1),
|
||
matrix_dims( X1, Dims, Bases),
|
||
maplist( index(Range), Args, Dims, Bases, NArgs),
|
||
(
|
||
var(Range)
|
||
->
|
||
matrix_get( X1, NArgs, Val )
|
||
;
|
||
matrix_get_range( X1, NArgs, Val )
|
||
).
|
||
rhs('[]'([Args], floats(RHS)), Val) :-
|
||
atom(RHS),
|
||
integer(Args),
|
||
!,
|
||
array_element(RHS,Args,Val).
|
||
rhs('[]'(Args, RHS), Val) :-
|
||
!,
|
||
rhs(RHS, X1),
|
||
matrix_dims( X1, Dims, Bases),
|
||
maplist( index(Range), Args, Dims, Bases, NArgs),
|
||
(
|
||
var(Range)
|
||
->
|
||
array_element( X1, NArgs, Val )
|
||
;
|
||
matrix_get_range( X1, NArgs, Val )
|
||
).
|
||
rhs('..'(I, J), [I1|Is]) :- !,
|
||
rhs(I, I1),
|
||
rhs(J, J1),
|
||
once( foldl(inc, Is, I1, J1) ).
|
||
rhs([H|T], [NH|NT]) :- !,
|
||
rhs(H, NH),
|
||
rhs(T, NT).
|
||
rhs(log(RHS), Logs ) :- !,
|
||
rhs(RHS, X1),
|
||
matrix_to_logs( X1, Logs ).
|
||
rhs(exp(RHS), Logs ) :- !,
|
||
rhs(RHS, X1),
|
||
matrix_to_exps( X1, Logs ).
|
||
rhs(sum(RHS), Logs ) :- !,
|
||
rhs(RHS, X1),
|
||
matrix_sum( X1, Logs ).
|
||
rhs(S, NS) :-
|
||
rhs_opaque( S ), !,
|
||
S = NS.
|
||
rhs(E1+E2, V) :- !,
|
||
rhs(E1, R1),
|
||
rhs(E2, R2),
|
||
mplus(R1, R2, V).
|
||
rhs(E1-E2, V) :- !,
|
||
rhs(E1, R1),
|
||
rhs(E2, R2),
|
||
msub(R1, R2, V).
|
||
rhs(S, NS) :-
|
||
S =.. [N|As],
|
||
maplist(rhs, As, Bs),
|
||
NS =.. [N|Bs].
|
||
|
||
set_lhs(V, R) :- var(V), !, V = R.
|
||
set_lhs(V, R) :- number(V), !, V = R.
|
||
set_lhs(V, R) :- atom(V), !,
|
||
static_array_properties(V, N, _),
|
||
N1 is N-1,
|
||
foreach(I in 0..N1, V[I] <== R[I]).
|
||
set_lhs('[]'([Args], floats(RHS)), Val) :-
|
||
!,
|
||
integer(RHS),
|
||
integer(Args),
|
||
set_float_from_address(RHS,Args,Val).
|
||
set_lhs('[]'(Args, M), Val) :-
|
||
matrix_dims( M, Dims, Bases),
|
||
maplist( index(Range), Args, Dims, Bases, NArgs),
|
||
(
|
||
var(Range)
|
||
->
|
||
matrix_set( M, NArgs, Val )
|
||
;
|
||
matrix_set_range( M, NArgs, Val )
|
||
).
|
||
|
||
%
|
||
% ranges of arguments
|
||
%
|
||
index(Range, V, M, Base, Indx) :- var(V), !,
|
||
Max is (M-1)+Base,
|
||
index(Range, Base..Max, M, Base, Indx).
|
||
index(Range, '*', M, Base, Indx) :- !,
|
||
Max is (M-1)+Base,
|
||
index(Range, Base..Max, M, Base, Indx).
|
||
index(Range, Exp, M, _Base, Indx) :- !,
|
||
index(Exp, M, Indx0),
|
||
( integer(Indx0) -> Indx = Indx0 ;
|
||
Indx0 = [Indx] -> true ;
|
||
Indx0 = Indx, Range = range ).
|
||
|
||
index(I, _M, I ) :- integer(I), !.
|
||
index(I..J, _M, [I|O] ) :- !,
|
||
I1 is I, J1 is J,
|
||
once( foldl(inc, O, I1, J1) ).
|
||
index(I:J, _M, [I|O] ) :- !,
|
||
I1 is I, J1 is J,
|
||
once( foldl(inc, O, I1, J1) ).
|
||
index(I+J, M, O ) :- !,
|
||
index(I, M, I1),
|
||
index(J, M, J1),
|
||
add_index(I1, J1, O).
|
||
index(I-J, M, O ) :- !,
|
||
index(I, M, I1),
|
||
index(J, M, J1),
|
||
sub_index(I1, J1, O).
|
||
index(I*J, M, O ) :- !,
|
||
index(I, M, I1),
|
||
index(J, M, J1),
|
||
O is I1*J1.
|
||
index(I div J, M, O ) :- !,
|
||
index(I, M, I1),
|
||
index(J, M, J1),
|
||
O is I1 div J1.
|
||
index(I rem J, M, O ) :- !,
|
||
index(I, M, I1),
|
||
index(J, M, J1),
|
||
O is I1 rem J1.
|
||
index(I, M, NI ) :-
|
||
maplist(indx(M), I, NI).
|
||
|
||
indx(M, I, NI) :- index(I, M, NI).
|
||
|
||
add_index(I1, J1, O) :-
|
||
integer(I1),
|
||
integer(J1), !,
|
||
O is I1+J1.
|
||
add_index(I1, J1, O) :-
|
||
integer(I1), !,
|
||
maplist(plus(I1), J1, O).
|
||
add_index(I1, J1, O) :-
|
||
integer(J1), !,
|
||
maplist(plus(J1), I1, O).
|
||
add_index(I1, J1, O) :-
|
||
ord_union(I1, J1, O).
|
||
|
||
sub_index(I1, J1, O) :-
|
||
integer(I1),
|
||
integer(J1), !,
|
||
O is I1-J1.
|
||
sub_index(I1, J1, O) :-
|
||
integer(I1), !,
|
||
maplist(rminus(I1), J1, O).
|
||
sub_index(I1, J1, O) :-
|
||
integer(J1), !,
|
||
maplist(minus(J1), I1, O).
|
||
sub_index(I1, J1, O) :-
|
||
ord_subtract(I1, J1, O).
|
||
|
||
minus(X, Y, Z) :- Z is X-Y.
|
||
|
||
rminus(X, Y, Z) :- Z is Y-X.
|
||
|
||
times(X, Y, Z) :- Z is Y*X.
|
||
|
||
div(X, Y, Z) :- Z is X/Y.
|
||
|
||
rdiv(X, Y, Z) :- Z is Y/X.
|
||
|
||
zdiv(X, Y, Z) :- (X == 0 -> Z = 0 ; X == 0.0 -> Z = 0.0 ; Z is X / Y ).
|
||
|
||
mplus(I1, I2, V) :-
|
||
number(I1) ->
|
||
( number(I2) -> V is I1+I2 ;
|
||
matrix(I2) -> matrix_op_to_all(I1, +, I2, V) ;
|
||
is_list(I2) -> maplist(plus(I1), I2, V) ;
|
||
V = I1+I2 ) ;
|
||
matrix(I1) ->
|
||
( number(I2) -> matrix_op_to_all(I1, +, I2, V) ;
|
||
matrix(I2) -> matrix_op(I1, I2, +, V) ;
|
||
V = I1+I2 ) ;
|
||
is_list(I1) ->
|
||
( number(I2) -> maplist(plus(I2), I1, V) ;
|
||
is_list(I2) -> maplist(plus, I1, I2, V) ;
|
||
V = I1+I2 ) ;
|
||
V = I1 +I2.
|
||
|
||
msub(I1, I2, V) :-
|
||
number(I1) ->
|
||
( number(I2) -> V is I1-I2 ;
|
||
matrix(I2) -> matrix_op_to_all(I1, -, NI2, V) ;
|
||
is_list(I2) -> maplist(minus(I1), I2, V) ;
|
||
V = I1-I2 ) ;
|
||
matrix(I1) ->
|
||
( number(I2) -> NI2 is -I2, matrix_op_to_all(I1, +, NI2, V) ;
|
||
matrix(I2) -> matrix_op(I1, I2, -, V) ;
|
||
V = I1-I2 ) ;
|
||
is_list(I1) ->
|
||
( number(I2) -> NI2 is -I2, maplist(plus(NI2), I1, V) ;
|
||
is_list(I2) -> maplist(minus, I1, I2, V) ;
|
||
V = I1-I2 ) ;
|
||
V = I1-I2.
|
||
|
||
|
||
mtimes(I1, I2, V) :-
|
||
number(I1) ->
|
||
( number(I2) -> V is I1*I2 ;
|
||
matrix(I2) -> matrix_op_to_all(I1, *, I2, V) ;
|
||
is_list(I2) -> maplist(times(I1), I2, V) ;
|
||
V = I1*I2 ) ;
|
||
matrix(I1) ->
|
||
( number(I2) -> matrix_op_to_all(I1, *, I2, V) ;
|
||
matrix(I2) -> matrix_op(I1, I2, *, V) ;
|
||
V = I1*I2 ) ;
|
||
is_list(I1) ->
|
||
( number(I2) -> maplist(times(I2), I1, V) ;
|
||
is_list(I2) -> maplist(times, I1, I2, V) ;
|
||
V = I1*I2 ) ;
|
||
V = I1 *I2.
|
||
|
||
|
||
|
||
%
|
||
% three types of matrix: integers, floats and general terms.
|
||
%
|
||
|
||
matrix_new(terms, Dims, Data, '$matrix'(Dims, NDims, Size, Offsets, Matrix) ) :-
|
||
length(Dims,NDims),
|
||
foldl(size, Dims, 1, Size),
|
||
maplist(zero, Dims, Offsets),
|
||
functor( Matrix, c, Size),
|
||
Matrix =.. [c|Data].
|
||
matrix_new(ints,Dims,Data,Matrix) :-
|
||
length(Dims,NDims),
|
||
new_ints_matrix(NDims, Dims, Data, Matrix).
|
||
matrix_new(floats,Dims,Data,Matrix) :-
|
||
length(Dims,NDims),
|
||
new_floats_matrix(NDims, Dims, Data, Matrix).
|
||
|
||
|
||
matrix_dims( Mat, Dims) :-
|
||
( opaque(Mat) -> matrixn_dims( Mat, Dims ) ;
|
||
Mat = '$matrix'( Dims, _, _, _, _) ).
|
||
|
||
matrix_dims( Mat, Dims, Bases) :-
|
||
( opaque(Mat) -> matrixn_dims( Mat, Dims, Bases ) ;
|
||
Mat = '$matrix'( Dims, _, _, Bases, _) ).
|
||
|
||
matrix_ndims( Mat, NDims) :-
|
||
( opaque(Mat) -> matrixn_ndims( Mat, NDims ) ;
|
||
Mat = '$matrix'( _, NDims, _, _, _) ).
|
||
|
||
matrix_size( Mat, Size) :-
|
||
( opaque(Mat) -> matrixn_size( Mat, Size ) ;
|
||
Mat = '$matrix'( _, _, Size, _, _) ).
|
||
|
||
matrix_to_list( Mat, ToList) :-
|
||
( opaque(Mat) -> matrixn_to_list( Mat, ToList ) ;
|
||
Mat = '$matrix'( _, _, _, _, M), M=.. [_|ToList] ).
|
||
|
||
matrix_to_lists( Mat, ToList) :-
|
||
matrix_dims( Mat, [D|Dims] ),
|
||
D1 is D-1,
|
||
foreach( I in 0..D1, matrix_slicer( Dims, Mat, [I|L]-L), ToList, [] ).
|
||
|
||
matrix_slicer( [_], M, Pos-[_], [O|L0], L0) :- !,
|
||
O <== '[]'(Pos,M).
|
||
matrix_slicer( [D|Dims], M, Pos-[I|L], [O|L0], L0) :-
|
||
D1 is D-1,
|
||
foreach( I in 0..D1 , L^matrix_slicer( Dims, M, Pos-L), O, [] ).
|
||
|
||
matrix_get( Mat, Pos, El) :-
|
||
( opaque(Mat) -> matrixn_get( Mat, Pos, El ) ;
|
||
m_get(Mat, Pos, El) ).
|
||
|
||
matrix_get_range( Mat, Pos, Els) :-
|
||
slice(Pos, Keys),
|
||
maplist( matrix_get(Mat), Keys, Els).
|
||
|
||
slice([], [[]]).
|
||
slice([[H|T]|Extra], Els) :- !,
|
||
slice(Extra, Els0),
|
||
foldl(add_index_prefix( Els0 ), [H|T], Els, [] ).
|
||
slice([H|Extra], Els) :- !,
|
||
slice(Extra, Els0),
|
||
add_index_prefix( Els0 , H, Els, [] ).
|
||
|
||
add_index_prefix( [] , _H ) --> [].
|
||
add_index_prefix( [L|Els0] , H ) --> [[H|L]],
|
||
add_index_prefix( Els0 , H ).
|
||
|
||
|
||
matrix_set( Mat, Pos, Els) :-
|
||
slice(Pos, Keys),
|
||
maplist( matrix_set(Mat), Keys, Els).
|
||
|
||
matrix_set( Mat, Pos, El) :-
|
||
( opaque(Mat) -> matrixn_set( Mat, Pos, El ) ;
|
||
m_set(Mat, Pos, El) ).
|
||
|
||
matrix_new_set(ints,Dims,Elem,Matrix) :-
|
||
length(Dims,NDims),
|
||
new_ints_matrix_set(NDims, Dims, Elem, Matrix).
|
||
matrix_new_set(floats,Dims,Elem,Matrix) :-
|
||
length(Dims,NDims),
|
||
new_floats_matrix_set(NDims, Dims, Elem, Matrix).
|
||
|
||
|
||
matrix_type(Matrix,Type) :-
|
||
( matrix_type_as_number(Matrix, 0) -> Type = ints ;
|
||
opaque( Matrix ) -> Type = floats ;
|
||
Type = terms ).
|
||
|
||
matrix_base(Matrix, Bases) :-
|
||
( opaque( Matrix ) -> maplist('='(Base), Bases), matrixn_set_base( Matrix, Base ) ;
|
||
nb_setarg(4, Matrix, Bases ) ).
|
||
|
||
matrix_arg_to_offset(M, Index, Offset) :-
|
||
( opaque(M) -> matrixn_arg_to_offset( M, Index, Offset ) ;
|
||
M = '$matrix'(Dims, _, Size, Bases, _) -> foldl2(indx, Index, Dims, Bases, Size, _, 0, Offset) ).
|
||
|
||
matrix_offset_to_arg(M, Offset, Index) :-
|
||
( opaque(M) -> matrixn_offset_to_arg( M, Offset, Index ) ;
|
||
M = '$matrix'(Dims, _, Size, Bases, _) -> foldl2(offset, Index, Dims, Bases, Size, _, Offset, _) ).
|
||
|
||
matrix_max(M, Max) :-
|
||
( opaque(M) -> matrixn_max( M, Max ) ;
|
||
M = '$matrix'(_, _, _, _, C) ->
|
||
arg(1,C,V0), foldargs(max, M, V0, Max) ;
|
||
M = [V0|L], foldl(max, L, V0, Max) ).
|
||
|
||
max(New, Old, Max) :- ( New >= Old -> New = Max ; Old = Max ).
|
||
|
||
matrix_maxarg(M, MaxArg) :-
|
||
( opaque(M) -> matrixn_maxarg( M, MaxArg );
|
||
M = '$matrix'(_, _, _, _, C) ->
|
||
arg(1,C,V0), foldargs(maxarg, M, V0-0-0, _-Offset-_), matrix_offset_to_arg(M, Offset, MaxArg) ;
|
||
M = [V0|L], foldl(maxarg, L, V0-0-1, _Max-Off-_ ), MaxArg = [Off] ).
|
||
|
||
maxarg(New, Old-OPos-I0, Max-MPos-I) :- I is I0+1, ( New > Old -> New = Max, MPos = I0 ; Old = Max, MPos = OPos ).
|
||
|
||
matrix_min(M, Min) :-
|
||
( opaque(M) -> matrixn_min( M, Min ) ;
|
||
M = '$matrix'(_, _, _, _, C) ->
|
||
arg(1,C,V0), foldargs(min, M, V0, Max) ;
|
||
M = [V0|L], foldl(min, L, V0, Max) ).
|
||
|
||
min(New, Old, Max) :- ( New =< Old -> New = Max ; Old = Max ).
|
||
|
||
matrix_minarg(M, MinArg) :-
|
||
( opaque(M) -> matrixn_minarg( M, MinArg );
|
||
M = '$matrix'(_, _, _, _, C) ->
|
||
arg(1,C,V0), foldargs(minarg, M, V0-0-0, _-Offset-_), matrix_offset_to_arg(M, Offset, MinArg) ;
|
||
M = [V0|L], foldl(minarg, L, V0-0-1, _Min-Off-_ ), MinArg = [Off] ).
|
||
|
||
minarg(New, Old-OPos-I0, Min-MPos-I) :- I is I0+1, ( New < Old -> New = Min, MPos = I0 ; Old = Min, MPos = OPos ).
|
||
|
||
matrix_to_logs(M, LogM) :-
|
||
( opaque(M) -> matrixn_to_logs( M, LogM ) ;
|
||
M = '$matrix'(A, B, D, E, C) ->
|
||
LogM = '$matrix'(A, B, D, E, LogC),
|
||
mapargs(log, C, LogC) ;
|
||
M = [V0|L] -> maplist(log, [V0|L], LogM ) ;
|
||
LogM is log(M) ).
|
||
|
||
log(X, Y) :- Y is log(X).
|
||
|
||
matrix_to_exps(M, ExpM) :-
|
||
( opaque(M) -> matrixn_to_exps( M, ExpM ) ;
|
||
M = '$matrix'(A, B, D, E, C) ->
|
||
ExpM = '$matrix'(A, B, D, E, ExpC),
|
||
mapargs(exp, C, ExpC) ;
|
||
M = [V0|L] -> maplist(exp, [V0|L], ExpM ) ;
|
||
ExpM is exp(M) ).
|
||
|
||
exp(X, Y) :- Y is exp(X).
|
||
|
||
matrix_agg_lines(M1,+,NM) :-
|
||
do_matrix_agg_lines(M1,0,NM).
|
||
/* other operations: *, logprod */
|
||
|
||
matrix_agg_cols(M1,+,NM) :-
|
||
do_matrix_agg_cols(M1,0,NM).
|
||
/* other operations: *, logprod */
|
||
|
||
matrix_op(M1,M2,+,NM) :-
|
||
( opaque(M1), opaque(M2) ->
|
||
do_matrix_op(M1,M2,0,NM) ;
|
||
matrix_m(M1, '$matrix'(A,B,D,E,C1)),
|
||
matrix_m(M2, '$matrix'(A,B,D,E,C2)),
|
||
mapargs(plus, C1, C2, C),
|
||
NM = '$matrix'(A,B,D,E,C) ).
|
||
matrix_op(M1,M2,-,NM) :-
|
||
( opaque(M1), opaque(M2) ->
|
||
do_matrix_op(M1,M2,1,NM) ;
|
||
matrix_m(M1, '$matrix'(A,B,D,E,C1)),
|
||
matrix_m(M2, '$matrix'(A,B,D,E,C2)),
|
||
mapargs(minus, C1, C2, C),
|
||
NM = '$matrix'(A,B,D,E,C) ).
|
||
matrix_op(M1,M2,*,NM) :-
|
||
( opaque(M1), opaque(M2) ->
|
||
do_matrix_op(M1,M2,2,NM) ;
|
||
matrix_m(M1, '$matrix'(A,B,D,E,C1)),
|
||
matrix_m(M2, '$matrix'(A,B,D,E,C2)),
|
||
mapargs(times, C1, C2, C),
|
||
NM = '$matrix'(A,B,D,E,C) ).
|
||
matrix_op(M1,M2,/,NM) :-
|
||
( opaque(M1), opaque(M2) ->
|
||
do_matrix_op(M1,M2,3,NM) ;
|
||
matrix_m(M1, '$matrix'(A,B,D,E,C1)),
|
||
matrix_m(M2, '$matrix'(A,B,D,E,C2)),
|
||
mapargs(div, C1, C2, C),
|
||
NM = '$matrix'(A,B,D,E,C) ).
|
||
matrix_op(M1,M2,zdiv,NM) :-
|
||
( opaque(M1), opaque(M2) ->
|
||
do_matrix_op(M1,M2,5,NM) ;
|
||
matrix_m(M1, '$matrix'(A,B,D,E,C1)),
|
||
matrix_m(M2, '$matrix'(A,B,D,E,C2)),
|
||
mapargs(zdiv, C1, C2, C),
|
||
NM = '$matrix'(A,B,D,E,C) ).
|
||
|
||
|
||
matrix_op_to_all(M1,+,Num,NM) :-
|
||
( opaque(M1) ->
|
||
do_matrix_op_to_all(M1,0,Num,NM)
|
||
;
|
||
M1 = '$matrix'(A,B,D,E,C),
|
||
mapargs(plus(Num), C, NC),
|
||
NM = '$matrix'(A,B,D,E,NC)
|
||
).
|
||
matrix_op_to_all(M1,-,Num,NM) :-
|
||
( opaque(M1) ->
|
||
do_matrix_op_to_all(M1,1,Num,NM)
|
||
;
|
||
M1 = '$matrix'(A,B,D,E,C),
|
||
mapargs(minus(Num), C, NC),
|
||
NM = '$matrix'(A,B,D,E,NC)
|
||
).
|
||
matrix_op_to_all(M1,*,Num,NM) :-
|
||
( opaque(M1) ->
|
||
do_matrix_op_to_all(M1,2,Num,NM)
|
||
;
|
||
M1 = '$matrix'(A,B,D,E,C),
|
||
mapargs(times(Num), C, NC),
|
||
NM = '$matrix'(A,B,D,E,NC)
|
||
).
|
||
matrix_op_to_all(M1,/,Num,NM) :-
|
||
% can only use floats.
|
||
FNum is float(Num),
|
||
( opaque(M1) ->
|
||
do_matrix_op_to_all(M1,3,FNum,NM)
|
||
;
|
||
M1 = '$matrix'(A,B,D,E,C),
|
||
mapargs(div(Num), C, NC),
|
||
NM = '$matrix'(A,B,D,E,NC)
|
||
).
|
||
|
||
/* other operations: *, logprod */
|
||
|
||
matrix_op_to_lines(M1,M2,/,NM) :-
|
||
do_matrix_op_to_lines(M1,M2,3,NM).
|
||
/* other operations: *, logprod */
|
||
|
||
matrix_op_to_cols(M1,M2,+,NM) :-
|
||
do_matrix_op_to_cols(M1,M2,0,NM).
|
||
/* other operations: *, logprod */
|
||
|
||
|
||
matrix_transpose(M1,M2) :-
|
||
matrix_shuffle(M1,[1,0],M2).
|
||
|
||
size(N0, N1, N2) :-
|
||
N2 is N0*N1.
|
||
|
||
% use 1 to get access to matrix
|
||
m_get('$matrix'(Dims, _, Sz, Bases, M), Indx, V) :-
|
||
foldl2(indx, Indx, Dims, Bases, Sz, _, 1, Offset),
|
||
arg(Offset, M, V).
|
||
|
||
m_set('$matrix'(Dims, _, Sz, Bases, M), Indx, V) :-
|
||
foldl2(indx, Indx, Dims, Bases, Sz, _, 1, Offset),
|
||
arg(Offset, M, V).
|
||
|
||
indx( I, Dim, Base, BlkSz, NBlkSz, I0, IF) :-
|
||
NBlkSz is BlkSz div Dim ,
|
||
IF is (I-Base)*NBlkSz + I0.
|
||
|
||
offset( I, Dim, BlkSz, NBlkSz, Base, I0, IF) :-
|
||
NBlkSz is BlkSz div Dim,
|
||
I is I0 div NBlkSz + Base,
|
||
IF is I0 rem NBlkSz.
|
||
|
||
inc(I1, I, I1) :-
|
||
I1 is I+1.
|
||
|
||
new_matrix(M0, Opts0, M) :-
|
||
opaque(M), !,
|
||
matrix_to_list(M0, L),
|
||
new_matrix(L, Opts0, M).
|
||
new_matrix('$matrix'(_,_,_,_,C), Opts0, M) :- !,
|
||
C =..[_|L],
|
||
new_matrix(L, Opts0, M).
|
||
new_matrix(C, Opts0, M) :-
|
||
functor(C, c, _), !,
|
||
C =..[_|L],
|
||
new_matrix(L, Opts0, M).
|
||
new_matrix(List, Opts0, M) :-
|
||
foldl2(el_list(MDims), List, Flat, [], 0, Dim), !,
|
||
fix_opts(Opts0, Opts),
|
||
foldl2(process_new_opt, Opts, Type, TypeF, [Dim|MDims], Dims, Base),
|
||
( var(TypeF) -> guess_type( Flat, Type ) ; true ),
|
||
matrix_new( Type, Dims, Flat, M),
|
||
( nonvar(Base) -> matrix_base(M, Base); true ).
|
||
new_matrix([H|List], Opts0, M) :-
|
||
length( [H|List], Size),
|
||
fix_opts(Opts0, Opts),
|
||
foldl2(process_new_opt(Base), Opts, Type, TypeF, [Size], Dims),
|
||
( var(TypeF) -> guess_type( [H|List], Type ) ; true ),
|
||
matrix_new( Type, Dims, [H|List], M),
|
||
( nonvar(Base) -> matrix_base(M, Base); true ).
|
||
|
||
fix_opts(V, _) :-
|
||
var(V), !,
|
||
throw(error(instantiation_error, V)).
|
||
fix_opts(A=B, [A=B]).
|
||
fix_opts(A, A) :-
|
||
is_list(A), !.
|
||
fix_opts(V, _) :-
|
||
var(V), !,
|
||
throw(error(domain_error(options=V), new_matrix)).
|
||
|
||
guess_type( List, Type ) :-
|
||
maplist( integer, List), !,
|
||
Type = ints.
|
||
guess_type( List, Type ) :-
|
||
maplist( number, List), !,
|
||
Type = floats.
|
||
guess_type( _List, terms ).
|
||
|
||
process_new_opt(_Base, dim=Dim, Type, Type, _, Dim) :- !.
|
||
process_new_opt(_Base, type=Type, _, Type, Dim, Dim) :- !.
|
||
process_new_opt( Base, base=Base, Type, Type, Dim, Dim) :- !.
|
||
process_new_opt(_Base, Opt, Type, Type, Dim, Dim) :-
|
||
throw(error(domain_error(opt=Opt), new_matrix)).
|
||
|
||
el_list(_, V, _Els, _NEls, _I0, _I1) :-
|
||
var(V), !,
|
||
fail.
|
||
el_list([N|Extra], El, Els, NEls, I0, I1) :-
|
||
foldl2(el_list(Extra), El, Els, NEls, 0, N), !,
|
||
I1 is I0+1.
|
||
el_list([N], El, Els, NEls, I0, I1) :-
|
||
El = [_|_],
|
||
length(El, N),
|
||
append(El, NEls, Els),
|
||
I1 is I0+1.
|
||
|
||
foreach( Domain, Goal) :-
|
||
strip_module(Goal, M, Locals^NG), !,
|
||
term_variables(Domain+Locals, LocalVarsL),
|
||
LocalVars =.. [vs|LocalVarsL],
|
||
iterate( Domain, [], LocalVars, M:NG, [], [] ),
|
||
terms:reset_variables( LocalVars ).
|
||
foreach( Domain, Goal ) :-
|
||
strip_module(Goal, M, NG),
|
||
term_variables(Domain, LocalVarsL),
|
||
LocalVars =.. [vs|LocalVarsL],
|
||
iterate( Domain, [], LocalVars, M:NG, [], [] ),
|
||
terms:reset_variables( LocalVars ).
|
||
|
||
foreach( Domain, Goal, Inp, Out) :-
|
||
strip_module(Goal, M, Locals^NG), !,
|
||
term_variables(Domain+Locals, LocalVarsL),
|
||
LocalVars =.. [vs|LocalVarsL],
|
||
iterate( Domain, [], LocalVars, M:NG, [], [], Inp, Out).
|
||
foreach( Domain, Goal, Inp, Out ) :-
|
||
strip_module(Goal, M, NG),
|
||
term_variables(Domain, LocalVarsL),
|
||
LocalVars =.. [vs|LocalVarsL],
|
||
iterate( Domain, [], LocalVars, M:NG, [], [], Inp, Out ).
|
||
|
||
iterate( [], [], LocalVars, Goal, Vs, Bs ) :-
|
||
terms:freshen_variables(LocalVars),
|
||
Vs = Bs,
|
||
MG <== Goal,
|
||
once( MG ),
|
||
terms:reset_variables(LocalVars).
|
||
iterate( [], [H|Cont], LocalVars, Goal, Vs, Bs ) :-
|
||
iterate(H, Cont, LocalVars, Goal, Vs, Bs ).
|
||
iterate( [H|L], [], LocalVars, Goal, Vs, Bs ) :- !,
|
||
iterate(H, L, LocalVars, Goal, Vs, Bs ).
|
||
iterate( [H|L], Cont, LocalVars, Goal, Vs, Bs ) :- !,
|
||
append(L, Cont, LCont),
|
||
iterate(H, LCont, LocalVars, Goal, Vs, Bs ).
|
||
iterate( [] ins _A .. _B, [H|L], LocalVars, Goal, Vs, Bs ) :- !,
|
||
iterate(H, L, LocalVars, Goal, Vs, Bs ).
|
||
iterate( [] ins _A .. _B, [], LocalVars, Goal, Vs, Bs ) :- !,
|
||
iterate([], [], LocalVars, Goal, Vs, Bs ).
|
||
iterate( [V|Ps] ins A..B, Cont, LocalVars, Goal, Vs, Bs ) :-
|
||
eval(A, Vs, Bs, NA),
|
||
eval(B, Vs, Bs, NB),
|
||
( NA > NB -> true ;
|
||
A1 is NA+1,
|
||
iterate( Ps ins NA..NB, Cont, LocalVars, Goal, [V|Vs], [NA|Bs] ),
|
||
iterate( [V|Ps] ins A1..NB, Cont, LocalVars, Goal, Vs, Bs )
|
||
).
|
||
iterate( V in A..B, Cont, LocalVars, Goal, Vs, Bs) :-
|
||
var(V),
|
||
eval(A, Vs, Bs, NA),
|
||
eval(B, Vs, Bs, NB),
|
||
( NA > NB -> true ;
|
||
A1 is NA+1,
|
||
(Cont = [H|L] ->
|
||
iterate( H, L, LocalVars, Goal, [V|Vs], [NA|Bs] )
|
||
;
|
||
iterate( [], [], LocalVars, Goal, [V|Vs], [NA|Bs] )
|
||
),
|
||
iterate( V in A1..NB, Cont, LocalVars, Goal, Vs, Bs )
|
||
).
|
||
|
||
iterate( [], [], LocalVars, Goal, Vs, Bs, Inp, Out ) :-
|
||
terms:freshen_variables(LocalVars),
|
||
Vs = Bs,
|
||
MG <== Goal,
|
||
once( call(MG, Inp, Out) ),
|
||
terms:reset_variables(LocalVars).
|
||
iterate( [], [H|Cont], LocalVars, Goal, Vs, Bs, Inp, Out ) :-
|
||
iterate(H, Cont, LocalVars, Goal, Vs, Bs, Inp, Out ).
|
||
iterate( [H|L], [], LocalVars, Goal, Vs, Bs, Inp, Out ) :- !,
|
||
iterate(H, L, LocalVars, Goal, Vs, Bs, Inp, Out ).
|
||
iterate( [H|L], Cont, LocalVars, Goal, Vs, Bs, Inp, Out ) :- !,
|
||
append(L, Cont, LCont),
|
||
iterate(H, LCont, LocalVars, Goal, Vs, Bs, Inp, Out ).
|
||
iterate( [] ins _A .. _B, [], LocalVars, Goal, Vs, Bs, Inp, Out ) :- !,
|
||
iterate([], [], LocalVars, Goal, Vs, Bs, Inp, Out ).
|
||
iterate( [] ins _A .. _B, [H|L], LocalVars, Goal, Vs, Bs, Inp, Out ) :- !,
|
||
iterate(H, L, LocalVars, Goal, Vs, Bs, Inp, Out ).
|
||
iterate( [V|Ps] ins A..B, Cont, LocalVars, Goal, Vs, Bs, Inp, Out ) :-
|
||
eval(A, Vs, Bs, NA),
|
||
eval(B, Vs, Bs, NB),
|
||
( NA > NB -> Inp = Out ;
|
||
A1 is NA+1,
|
||
iterate( Ps ins A..B, Cont, LocalVars, Goal, [V|Vs], [NA|Bs], Inp, Mid ),
|
||
iterate( [V|Ps] ins A1..NB, Cont, LocalVars, Goal, Vs, Bs, Mid, Out )
|
||
).
|
||
iterate( V in A..B, Cont, LocalVars, Goal, Vs, Bs, Inp, Out) :-
|
||
var(V),
|
||
eval(A, Vs, Bs, NA),
|
||
eval(B, Vs, Bs, NB),
|
||
( NA > NB -> Inp = Out ;
|
||
A1 is NA+1,
|
||
(Cont = [H|L] ->
|
||
iterate( H, L, LocalVars, Goal, [V|Vs], [NA|Bs], Inp, Mid )
|
||
;
|
||
iterate( [], [], LocalVars, Goal, [V|Vs], [NA|Bs], Inp, Mid )
|
||
),
|
||
iterate( V in A1..NB, Cont, LocalVars, Goal, Vs, Bs, Mid, Out )
|
||
).
|
||
|
||
|
||
eval(I, _Vs, _Bs, I) :- integer(I), !.
|
||
eval(I, Vs, Bs, NI) :-
|
||
copy_term(I+Vs, IA+Bs),
|
||
NI <== IA.
|
||
|
||
matrix_seq(A, B, Dims, M) :-
|
||
ints(A, B, L),
|
||
matrix_new(ints, Dims, L, M).
|
||
|
||
ints(A,B,O) :-
|
||
( A > B -> O = [] ; O = [A|L], A1 is A+1, ints(A1,B,L) ).
|
||
|
||
zero(_, 0).
|
||
/** @} */
|
||
|