mbset

Capsim Block Documentation

Short Description

Gives one outputs for Mandelbrot Set

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Parameters
Num Description Type Name Default Value
0 number of points in each direction int num_of_points 100
1 total number of samples int num_of_samples 10000
2 minimum x value float min_x -2.0
3 maximum x value float max_x 2.0
4 minimum y value float min_y -2.0
5 maximum y value float max_y 2.0
6 maximum number of iterations int max_iterate 100
7 pace rate to determine how many samples to output float pace_rate 1.0
8 number of samples on the first call if paced int samples_first_time 128
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States
Num Type Name Initial Value Description
0 float differ_x
1 float differ_y
2 float increment_x
3 float increment_y
4 float x_val
5 float y_val
6 int samples_out 0
7 double pace_in_total 0.0
8 int output_target NUMBER_SAMPLES_PER_VISIT
9 int no_inbuf
10 int no_outbuf
11 int pass 0
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Declarations


 

	int i,j,k,k2;
	float temp_x;
	float temp_y;
	float sqr_temp_x;
	float sqr_temp_y;
	float cutoff;



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Initialization Code



 

	if((no_outbuf = NO_OUTPUT_BUFFERS() ) <= 0) {
		fprintf(stderr,"seqgen: no output buffers\n");
		return(1); /* no output buffers */
	}
	no_inbuf = NO_INPUT_BUFFERS();
	if(no_inbuf == 1) 
	   output_target = samples_first_time;
	else
	   output_target = num_of_samples;
	if(output_target > num_of_samples)
	   output_target = num_of_samples;
	if(pace_rate < 0) pace_rate = -pace_rate;
	differ_x = max_x - min_x;
	differ_y = max_y - min_y;
	increment_x = differ_x/(float)(num_of_points);
	increment_y = differ_y/(float)(num_of_points);




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Main Code



 


	if(no_inbuf == 1) {
	   while(IT_IN(0))
		pace_in_total += 1.0;
	   if(pass == 1) {
		output_target = samples_first_time + (int) (pace_rate *
	   			pace_in_total + 0.5);
		if(output_target > num_of_samples && num_of_samples > 0)
			output_target = num_of_samples;
	   }
	}
	pass = 1;
	i = 0;

	/* generate NUMBER_SAMPLES_PER_VISIT samples, then return */
	while(samples_out < output_target) {

		/* return if all samples have been output */
		if(++i > NUMBER_SAMPLES_PER_VISIT) return(0);

		y_val = min_y;

		for(k=0; k
    
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Wrapup Code



 





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License



/*  Capsim (r) Text Mode Kernel (TMK) Star Library (Blocks)
    Copyright (C) 1989-2017  Silicon DSP Corporation

    This library is free software; you can redistribute it and/or
    modify it under the terms of the GNU Lesser General Public
    License as published by the Free Software Foundation; either
    version 2.1 of the License, or (at your option) any later version.

    This library 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
    Lesser General Public License for more details.

    You should have received a copy of the GNU Lesser General Public
    License along with this library; if not, write to the Free Software
    Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA

    http://www.silicondsp.com
    Silicon DSP  Corporation
    Las Vegas, Nevada
*/


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Description



 

/* mbset.s */
/**********************************************************************
                mbset()
***********************************************************************
Gives one outputs for Mandelbrot Set
Input parameters:
	min_x: minimum x value
	max_x: maximum x value
	min_y: minimum y value
	max_y: maximum y value
	max_iterate: maximum number of iterations
CONTROL PARAMETERS:
	num_of_samples     = total number of samples to output.
	pace_rate          = multiplies the number of samples received 
			     on pace input (if connected) to determine 
			     how many samples to output.
	samples_first_time = the number of samples to put out on the
			     first call if pace input connected. It can
			     be zero. negative values = 0.
CONTROL DESCRIPTION:
If the pace input is not connected:
      The num_of_samples parameter sets the maximum number of samples
	that the star will output. If num_of_samples < 0, an indefinite
	number of samples can be output.
      The star will output a maximum of NUMBER_SAMPLES_PER_VISIT on each call.
If the pace input is connected:
      The num_of_samples parameter sets the maximum number of samples
        that the star will output. If num_samples_out < 0, an infinite
	number of samples can be output.
      The pace input paces the number of output samples on each call.
      At each call of the star all samples are read from the pace input
	and a running total of how many there have been is kept.
      An output_target  is computed at each pass = pace_input_total *
	pace_rate. If pace_rate < 0, the absolute value is used.
      On the first call:
	output = lesser of (samples_first_time, num_of_samples)
      On subsequent calls:
	output = lesser of (NUMBER_SAMPLES_PER_VISIT, output_target)
	   output_target = samples_first_time +
		 pace_rate * pace_input_total - to that point
      The total number of samples that will be output:
	samples_out_total = lesser of (num_of_samples,
		     samples_first_time + pace_rate * pace_input_total)

mbset


Gives one outputs for Mandelbrot Set
Input parameters:
	min_x: minimum x value
	max_x: maximum x value
	min_y: minimum y value
	max_y: maximum y value
	max_iterate: maximum number of iterations
CONTROL PARAMETERS:
	num_of_samples     = total number of samples to output.
	pace_rate          = multiplies the number of samples received 
			     on pace input (if connected) to determine 
			     how many samples to output.
	samples_first_time = the number of samples to put out on the
			     first call if pace input connected. It can
			     be zero. negative values = 0.
CONTROL DESCRIPTION:
If the pace input is not connected:
      The num_of_samples parameter sets the maximum number of samples
	that the star will output. If num_of_samples < 0, an indefinite
	number of samples can be output.
      The star will output a maximum of NUMBER_SAMPLES_PER_VISIT on each call.
If the pace input is connected:
      The num_of_samples parameter sets the maximum number of samples
        that the star will output. If num_samples_out < 0, an infinite
	number of samples can be output.
      The pace input paces the number of output samples on each call.
      At each call of the star all samples are read from the pace input
	and a running total of how many there have been is kept.
      An output_target  is computed at each pass = pace_input_total *
	pace_rate. If pace_rate < 0, the absolute value is used.
      On the first call:
	output = lesser of (samples_first_time, num_of_samples)
      On subsequent calls:
	output = lesser of (NUMBER_SAMPLES_PER_VISIT, output_target)
	   output_target = samples_first_time +
		 pace_rate * pace_input_total - to that point
      The total number of samples that will be output:
	samples_out_total = lesser of (num_of_samples,
		     samples_first_time + pace_rate * pace_input_total)



*/