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Added non-uniform sampling to deriv and uniform option to
path_tangents, and path_segment_lengths.
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57034ac955
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28
math.scad
28
math.scad
@ -899,7 +899,13 @@ function count_true(l, nmax=undef, i=0, cnt=0) =
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// data[len(data)-1]. This function uses a symetric derivative approximation
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// for internal points, f'(t) = (f(t+h)-f(t-h))/2h. For the endpoints (when closed=false) the algorithm
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// uses a two point method if sufficient points are available: f'(t) = (3*(f(t+h)-f(t)) - (f(t+2*h)-f(t+h)))/2h.
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//
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// If `h` is a vector then it is assumed to be nonuniform, with h[i] giving the sampling distance
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// between data[i+1] and data[i], and the data values will be linearly resampled at each corner
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// to produce a uniform spacing for the derivative estimate. At the endpoints a single point method
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// is used: f'(t) = (f(t+h)-f(t))/h.
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function deriv(data, h=1, closed=false) =
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is_vector(h) ? _deriv_nonuniform(data, h, closed=closed) :
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let( L = len(data) )
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closed? [
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for(i=[0:1:L-1])
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@ -919,6 +925,28 @@ function deriv(data, h=1, closed=false) =
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];
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function _dnu_calc(f1,fc,f2,h1,h2) =
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let(
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f1 = h2<h1 ? lerp(fc,f1,h2/h1) : f1 ,
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f2 = h1<h2 ? lerp(fc,f2,h1/h2) : f2
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)
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(f2-f1) / 2 / min([h1,h2]);
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function _deriv_nonuniform(data, h, closed) =
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assert(len(h) == len(data)-(closed?0:1),str("Vector valued h must be length ",len(data)-(closed?0:1)))
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let(
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L = len(data)
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)
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closed? [for(i=[0:1:L-1])
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_dnu_calc(data[(L+i-1)%L], data[i], data[(i+1)%L], select(h,i-1), h[i]) ]
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: [
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(data[1]-data[0])/h[0],
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for(i=[1:1:L-2]) _dnu_calc(data[i-1],data[i],data[i+1], h[i-1],h[i]),
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(data[L-1]-data[L-2])/h[L-2]
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];
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// Function: deriv2()
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// Usage: deriv2(data, [h], [closed])
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// Description:
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45
paths.scad
45
paths.scad
@ -149,6 +149,21 @@ function path_length(path,closed=false) =
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sum([for (i = [0:1:len(path)-2]) norm(path[i+1]-path[i])])+(closed?norm(path[len(path)-1]-path[0]):0);
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// Function: path_segment_lengths()
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// Usage:
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// path_segment_lengths(path,[closed])
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// Description:
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// Returns list of the length of each segment in a path
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// Arguments:
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// path = path to measure
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// closed = true if the path is closed. Default: false
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function path_segment_lengths(path, closed=false) =
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[
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for (i=[0:1:len(path)-2]) norm(path[i+1]-path[i]),
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if (closed) norm(path[0]-path[len(path)-1])
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];
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// Function: path_pos_from_start()
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// Usage:
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// pos = path_pos_from_start(path,length,[closed]);
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@ -280,13 +295,35 @@ function path_closest_point(path, pt) =
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// Function: path_tangents()
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// Usage: path_tangents(path, [closed])
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// Usage: path_tangents(path, [closed], [uniform])
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// Description:
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// Compute the tangent vector to the input path. The derivative approximation is described in deriv().
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// The returns vectors will be normalized to length 1.
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function path_tangents(path, closed=false) =
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// The returns vectors will be normalized to length 1. If any derivatives are zero then
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// the function fails with an error. If you set `uniform` to false then the sampling is
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// assumed to be non-uniform and the derivative is computed with adjustments to produce corrected
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// values.
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// Arguments:
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// path = path to find the tagent vectors for
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// closed = set to true of the path is closed. Default: false
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// uniform = set to false to correct for non-uniform sampling. Default: true
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// Example: A shape with non-uniform sampling gives distorted derivatives that may be undesirable
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// rect = square([10,3]);
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// tangents = path_tangents(rect,closed=true);
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// stroke(rect,closed=true, width=0.1);
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// color("purple")
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// for(i=[0:len(tangents)-1])
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// stroke([rect[i]-tangents[i], rect[i]+tangents[i]],width=.1, endcap2="arrow2");
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// Example: A shape with non-uniform sampling gives distorted derivatives that may be undesirable
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// rect = square([10,3]);
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// tangents = path_tangents(rect,closed=true,uniform=false);
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// stroke(rect,closed=true, width=0.1);
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// color("purple")
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// for(i=[0:len(tangents)-1])
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// stroke([rect[i]-tangents[i], rect[i]+tangents[i]],width=.1, endcap2="arrow2");
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function path_tangents(path, closed=false, uniform=true) =
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assert(is_path(path))
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[for(t=deriv(path,closed=closed)) unit(t)];
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!uniform ? [for(t=deriv(path,closed=closed, h=path_segment_lengths(path,closed))) unit(t)]
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: [for(t=deriv(path,closed=closed)) unit(t)];
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// Function: path_normals()
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