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Action:
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Creates a new pattern by applying a random scale to an existing pattern.
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Prototype:
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outcome api_random_scale_pattern (
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pattern*& pat,
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// created pattern
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const pattern& in_pattern,// input pattern
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double min_scale,
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// lower bound to the
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// applied scale values
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double max_scale,
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// upper bound to the
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// applied scale values
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const SPAposition& root,
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// root position
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logical merge = TRUE,
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// merge flag
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AcisOptions* ao = NULL
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// acis options
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);
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outcome api_random_scale_pattern (
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pattern*& pat,
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// created pattern
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const pattern& in_pattern,// input pattern
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const SPAvector& min_scale,// lower bound to the
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// applied scale values
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const SPAvector& max_scale,// upper bound to the
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// applied scale values
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const SPAposition& root,
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// root position
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logical merge = TRUE,
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// merge flag
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AcisOptions* ao = NULL
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// acis options
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);
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Includes:
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#include "kernel/acis.hxx"
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#include "baseutil/logical.h"
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#include "baseutil/vector/position.hxx"
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#include "kernel/kernapi/api/api.hxx"
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#include "kernel/kernutil/law/pattern.hxx"
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#include "kernel/kernutil/law/pattern_api.hxx"
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#include "kernel/kernapi/api/acis_options.hxx"
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#include "baseutil/vector/vector.hxx"
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Description:
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Applies a random scale to an existing pattern, merging with any existing scaling or, optionally (with
merge=FALSE), replacing it. The arguments
min_scale and
max_scale place limits upon the scale values, and can be given as vectors when nonuniform scaling is desired.
which_dim specifies the dimension in which the scale is applied. The position
root specifies the neutral point about which the scaling takes place (i.e., the point on the seed entity that remains fixed while the entity's dimensions are altered). Both
min_scale and
max_scale must be greater than zero.
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The following code snippet shows an example of how this API can be used.
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// Create a pattern
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pattern* pat = NULL;
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SPAvector x_vec(4.0, 0, 0);
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int num_x = 8;
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SPAvector y_vec(0, 2.0, 0);
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int num_y = 10;
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check_outcome(result = api_linear_pattern(pat, x_vec, num_x, y_vec, num_y));
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// Modify the pattern
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pattern* mod_pat = NULL;
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double min_scale = 0.5;
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double max_scale = 2.0;
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SPAposition root(0, 0, 0);
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check_outcome(result = api_random_scale_pattern(mod_pat, *pat, min_scale, max_scale, root));
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// Create a prism
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BODY* prism = NULL;
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double height = 1.0;
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double maj_rad = 1.0;
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double min_rad = 0.5;
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int num_sides = 3;
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check_outcome(result = api_make_prism(height, maj_rad, min_rad, num_sides, prism));
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// Apply the pattern to the prism
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check_outcome(result = api_set_entity_pattern(prism, mod_pat));
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// Clean up
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pat->remove();
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mod_pat->remove();
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Errors:
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One or more of the specified scaling factors is zero or negative.
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Library:
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kernel
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Filename:
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kern/kernel/kernutil/law/pattern_api.hxx
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Effect:
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Changes model
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