/**
 * @file ntinitialize.c
 * @brief Implementation Random Initialization.
 *
 * Initializes all neuron weights within their activation function's specified range and sets biases to zero.  
 * Uses `rand()` seeded with the current time.
 * 
 * @author Oscar Sotomayor
 * @date 2026
 */

#include "ntinitialize.h"

#include "ntactivation.h"
#include <stdlib.h>
#include <time.h>


/**
 * @details
 * Iterates through each layer and neuron in the network, assigning random weights based on the activation function's defined range in `ntact_rand_range`.  
 * Biases are set to zero for all neurons.  
 * The random values are generated using the standard `rand()` function, scaled to the appropriate range for each activation function.
 */
void randnet( net_s *net ){
    srand( time( NULL ) );
    for( uint16_t i= 0, j, k ; i < net->layers ; i++ ) for( j= 0 ; j < net->neurons[i] ; j++ ){
        for( k= 0 ; k < net->nn[i][j].inputs ; k++ ) net->nn[i][j].w[k]= ( ( float )rand( ) / RAND_MAX ) * ( ntact_rand_range[net->nn[i][j].fn][1] - ntact_rand_range[net->nn[i][j].fn][0] ) + ntact_rand_range[net->nn[i][j].fn][0];
        net->nn[i][j].b = 0.0f;
    }
}