AI-FANN

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    }
    else {
        Perl_croak(aTHX_ "Constructor failed");
    }
}

static unsigned int
_sv2enum(pTHX_ SV *sv, unsigned int top, char * const name) {
	unsigned int value = SvUV(sv);
	if (value > top) {
		Perl_croak(aTHX_ "value %d is out of range for %s", value, name);
	}
	return value;
}

static SV *
_enum2sv(pTHX_ unsigned int value, char const * const * const names, unsigned int top, char const * const name) {
    SV *sv;
    if (value > top) {
        Perl_croak(aTHX_ "internal error: value %d out of range for %s", value, name);
    }
    sv = newSVpv(names[value], 0);
    SvUPGRADE(sv, SVt_PVIV);
    SvUV_set(sv, value);
    SvIOK_on(sv);
    SvIsUV_on(sv);
    return sv;
}

#define _sv2fann_train_enum(sv) _sv2enum(aTHX_ sv, FANN_TRAIN_QUICKPROP, "fann_train_enum")
#define _sv2fann_activationfunc_enum(sv) _sv2enum(aTHX_ sv, FANN_LINEAR_PIECE_SYMMETRIC, "fann_activationfunc_enum")
#define _sv2fann_errorfunc_enum(sv) _sv2enum(aTHX_ sv, FANN_ERRORFUNC_TANH, "fann_errorfunc_enum")
#define _sv2fann_stopfunc_enum(sv) _sv2enum(aTHX_ sv, FANN_STOPFUNC_BIT, "fann_stopfunc_enum")

#define _fann_train_enum2sv(sv) _enum2sv(aTHX_ sv, FANN_TRAIN_NAMES, FANN_TRAIN_QUICKPROP, "fann_train_enum")
#define _fann_activationfunc_enum2sv(sv) _enum2sv(aTHX_ sv, FANN_ACTIVATIONFUNC_NAMES, FANN_LINEAR_PIECE_SYMMETRIC, "fann_activationfunc_enum")
#define _fann_errorfunc_enum2sv(sv) _enum2sv(aTHX_ sv, FANN_ERRORFUNC_NAMES, FANN_ERRORFUNC_TANH, "fann_errorfunc_enum")
#define _fann_stopfunc_enum2sv(sv) _enum2sv(aTHX_ sv, FANN_STOPFUNC_NAMES, FANN_STOPFUNC_BIT, "fann_stopfunc_enum")



/* normalized names for train_data methods */

#define fann_train_data_create_from_file fann_read_train_from_file
#define fann_train_data_shuffle fann_shuffle_train_data
#define fann_train_data_scale_input fann_scale_input_train_data
#define fann_train_data_scale_output fann_scale_output_train_data
#define fann_train_data_scale fann_scale_train_data
#define fann_train_data_merge fann_merge_train_data
#define fann_train_data_subset fann_subset_train_data
#define fann_train_data_length fann_length_train_data
#define fann_train_data_num_input fann_num_input_train_data
#define fann_train_data_num_output fann_num_output_train_data
#define fann_train_data_save fann_save_train

MODULE = AI::FANN		PACKAGE = AI::FANN		PREFIX = fann_

PROTOTYPES: DISABLE

BOOT:
    fann_set_error_log(0, 0);

void
_constants()
  PREINIT:
    unsigned int i;
  PPCODE:
    for (i = 0; my_constant_names[i]; i++) {
        SV *sv = sv_2mortal(newSVpv(my_constant_names[i], 0));
        SvUPGRADE(sv, SVt_PVIV);
        SvUV_set(sv, my_constant_values[i]);
        SvIOK_on(sv);
        SvIsUV_on(sv);
		XPUSHs(sv);
	}
    XSRETURN(i);

struct fann *
fann_new_standard(klass, ...)
    SV *klass;
  PREINIT:
    unsigned int *layers;
    unsigned int i;
    unsigned int num_layers;
  CODE:
    num_layers = items - 1;
    Newx(layers, num_layers, unsigned int);
    SAVEFREEPV(layers);
    for (i = 0; i < num_layers; i++) {
		layers[i] = SvIV(ST(i+1));
    }
    RETVAL = fann_create_standard_array(num_layers, layers);
  OUTPUT:
    RETVAL
  CLEANUP:
    _check_error(aTHX_ (struct fann_error *)RETVAL);

struct fann *
fann_new_sparse(klass, connection_rate, ...)
    SV *klass;
    double connection_rate;
  PREINIT:
    unsigned int *layers;
    unsigned int i;
    unsigned int num_layers;
  CODE:
    num_layers = items - 2;
    Newx(layers, num_layers, unsigned int);
    SAVEFREEPV(layers);
    for (i = 0; i < num_layers; i++) {
		layers[i] = SvIV(ST(i+2));
    }
    RETVAL = fann_create_sparse_array(connection_rate, num_layers, layers);
  OUTPUT:
    RETVAL
  CLEANUP:
    _check_error(aTHX_ (struct fann_error *)RETVAL);

struct fann *
fann_new_shortcut(klass, ...)
    SV *klass;



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