kicad/dxflib_qcad/tinyspline_lib/tinyspline.h

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35 KiB
C

/** @file tinyspline.h */
/*
* The MIT License (MIT)
*
* Copyright (c) 2016 Marcel Steinbeck
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef TINYSPLINE_H
#define TINYSPLINE_H
#include <stddef.h>
#ifdef __cplusplus
extern "C" {
#endif
/******************************************************************************
* *
* System Dependent Configuration *
* *
* The following configuration values must be adjusted to your system. Some of *
* them may be configured using preprocessor definitions. The default values *
* should be fine for most modern hardware, such as x86, x86_64, and arm. *
* *
******************************************************************************/
#ifdef TINYSPLINE_FLOAT_PRECISION
typedef float tsReal;
#else
typedef double tsReal;
#endif
#define FLT_MAX_ABS_ERROR 1e-5
#define FLT_MAX_REL_ERROR 1e-8
/******************************************************************************
* *
* Data Types *
* *
* The following section defines all data types available in TinySpline. *
* *
******************************************************************************/
/**
* Contains all error codes used by TinySpline. The following code snippet
* shows how to handle errors:
*
* tsError err = ... // any function call here
* if (err < 0) { // or use err != TS_SUCCESS
* printf("we got an error!");
*
* // you may want to reuse error codes
* return err;
* }
*/
typedef enum
{
/* No error. */
TS_SUCCESS = 0,
/* Unable to allocate memory (using malloc/realloc). */
TS_MALLOC = -1,
/* The dimension of the control points are 0. */
TS_DIM_ZERO = -2,
/* Degree of spline (deg) >= number of control points (n_ctrlp). */
TS_DEG_GE_NCTRLP = -3,
/* Spline is not defined at knot value u. */
TS_U_UNDEFINED = -4,
/* Multiplicity of a knot (s) > order of spline. */
TS_MULTIPLICITY = -5,
/* Decreasing knot vector. */
TS_KNOTS_DECR = -6,
/* Unexpected number of knots. */
TS_NUM_KNOTS = -7,
/* Spline is not derivable */
TS_UNDERIVABLE = -8
} tsError;
/**
* Describes how the knot vector of a spline is organized. If you don't know
* what an opened or clamped spline is, have a look at:
*
* www.cs.mtu.edu/~shene/COURSES/cs3621/NOTES/spline/B-spline/bspline-curve.html
*/
typedef enum
{
/* Not available/Undefined. */
TS_NONE = 0,
/* Uniformly spaced knot vector. */
TS_OPENED = 1,
/* Uniformly spaced knot vector with clamped end knots. */
TS_CLAMPED = 2,
/* Uniformly spaced knot vector with s(u) = order of spline. */
TS_BEZIERS = 3
} tsBSplineType;
/**
* Represents a B-Spline which may also be used for NURBS, Bezier curves,
* lines, and points. NURBS are represented using homogeneous coordinates where
* the last component of a control point is its weight. Bezier curves are
* B-Splines with 'n_ctrlp == order' and clamped knot vector making the curve
* passing through the first and last control point. If a Bezier curve consists
* of two control points only, we call them a line. Points, ultimately, are
* just very short lines having only a single control point. Consequently, the
* degree of a point is zero.
*
* Two dimensional control points are organized as follows:
*
* [x_0, y_0, x_1, y_1, ..., x_n-1, y_n-1]
*
* Tree dimensional control points are organized as follows:
*
* [x_0, y_0, z_0, x_1, y_1, z_1, ..., x_n-1, y_n-1, z_n-1]
*
* ... and so on. NURBS are represented using homogeneous coordinates. For
* instance, let's say we have a NURBS in 2D consisting of 11 control points
* where 'w_i' is the weight of the i'th control point. Then the corresponding
* control points are organized as follows:
*
* [x_0, y_0, w_0, x_1, y_1, w_1, ..., x_10, y_10, w_10]
*
* Note: The fields 'ctrlp' and 'knots' share the same array (similar to the
* approach used in 'tsDeBoorNet'). That is, the first elements of this
* array contain the control points of a spline whereas the last elements
* contain its knots. Accordingly, you should never free 'knots'
* explicitly. Using 'ts_bspline_free()' to free dynamically allocated
* memory is to be preferred anyway. If 'ctrlp' and 'knots' do not share
* the same array, or at least a consistent block of data, functions
* provided by TinySpline my fail because values are copied block wise.
*/
typedef struct
{
/* Degree of B-Spline basis function. */
size_t deg;
/* A convenience field for deg+1. */
size_t order;
/* Dimension of a control points. */
size_t dim;
/* Number of control points. */
size_t n_ctrlp;
/* Number of knots (n_ctrlp + deg + 1). */
size_t n_knots;
/* Control points of a spline. */
tsReal* ctrlp;
/* Knot vector of a spline (ascending order). */
tsReal* knots;
} tsBSpline;
/**
* Represents the output of De Boor's algorithm. De Boor's algorithm is used to
* evaluate a spline at given knot value 'u' by iteratively computing a net of
* intermediate values until the result is available:
*
* https://en.wikipedia.org/wiki/De_Boor%27s_algorithm
* https://www.cs.mtu.edu/~shene/COURSES/cs3621/NOTES/spline/de-Boor.html
*
* All points of the net are stored in 'points'. The resulting point of an
* evaluation is the last point in 'points' and, for the sake of convenience,
* may be accessed using 'result':
*
* tsDeBoorNet net = ... // evaluate an arbitrary spline and store
* // resulting net of points in 'net'
*
* net.result ... // use 'result' to access resulting point
*
* Note: You should never free 'result' explicitly as it is just a convenient
* accessor for the last point in 'points'. Using 'ts_deboornet_free()'
* to free dynamically allocated memory is to be preferred anyway.
*
* Two dimensional points are organized as follows:
*
* [x_0, y_0, x_1, y_1, ..., x_n-1, y_n-1]
*
* Tree dimensional points are organized as follows:
*
* [x_0, y_0, z_0, x_1, y_1, z_1, ..., x_n-1, y_n-1, z_n-1]
*
* ... and so on.
*
* There is a special case in which the evaluation of a knot value 'u' returns
* two instead of one result. It occurs when the multiplicity of 'u' ( s(u) )
* is equals to a spline's order indicating that the spline is discontinuous at
* 'u'. This is common practice for B-Splines (or NURBS) consisting of
* connected Bezier curves where the endpoint of curve 'c_i' is equals to the
* start point of curve 'c_i+1'. The end point of 'c_i' and the start point of
* 'c_i+1' may still be completely different though, yielding to a spline
* having a (real and visible) gap at 'u'. Consequently, De Boor's algorithm
* must return two results if 's(u) == order' in order to give you access to
* the desired points. In such case, 'points' stores only the two resulting
* points (there is no net to create) and 'result' points to the *first* point
* in 'points' ('points' and 'result' store the same pointer). Since having
* (real) gaps in splines is unusual, both points in 'points' are generally
* equals making it easy to handle this special case by accessing 'result' as
* already shown above for regular cases:
*
* tsDeBoorNet net = ... // evaluate a spline which is discontinuous at
* // at given knot value yielding to a net with
* // two results
*
* net.result ... // use 'result' to access resulting point
*
* However, you can use both points if necessary:
*
* tsDeBoorNet net = ... // evaluate a spline which is discontinuous at
* // at given knot value yielding to a net with
* // two results
*
* net.result[0] ... // 'result[0]' stores the first component of
* // the first point
*
* net.result[net.dim] // 'result[net.dim]' stores the first component
* // of the second point
*
* As if this wasn't complicated enough, there is an exception for our special
* case yielding to exactly one result (just like the regular case) even if
* 's(u) == order'. It occurs when 'u' is the lower or upper bound of a
* spline's domain. For instance, if 'b' is a spline with domain [0, 1] and is
* evaluated at 'u = 0' or 'u = 1' then 'result' is *always* a single point
* regardless of the multiplicity of 'u'. Hence, handling this exception is
* straightforward:
*
* tsDeBoorNet net = ... // evaluate a spline at lower or upper bound of
* // its domain, for instance, 0 or 1
*
* net.result ... // use 'result' to access resulting point
*
* In summary, we have three different types of evaluation. 1) The regular case
* returning all points of the net we used to calculate the resulting point. 2)
* The special case returning exactly two points which is required for splines
* having (real) gaps. 3) The exception of 2) returning exactly one point even
* if 's(u) == order'. All in all this looks quite complex (and actually it is)
* but for most applications you don't need to bother with them. Just use
* 'result' to access your evaluation point.
*/
typedef struct
{
/* The evaluated knot value. */
tsReal u;
/* The index [u_k, u_k+1) */
size_t k;
/* Multiplicity of u_k. */
size_t s;
/* How many times u must be inserted to get the resulting point. */
size_t h;
/* Dimension of a control point. */
size_t dim;
/* Number of points in 'points'. */
size_t n_points;
/* Points of the net used to evaluate u_k. */
tsReal* points;
/* A convenient pointer to the result in 'points'. */
tsReal* result;
} tsDeBoorNet;
/******************************************************************************
* *
* Constructors, Destructors, Copy, and Move Functions *
* *
* The following section contains functions to create and delete instances of *
* the data types listed above. Additionally, each data type has a copy and *
* move function. *
* *
******************************************************************************/
/**
* The default constructor of tsBSpline.
*
* All values of \p \_spline\_ are set to 0/NULL.
*
* @param \_spline\_
* The spline whose values are set 0/NULL.
*/
void ts_bspline_default( tsBSpline* _spline_ );
/**
* A convenient constructor for tsBSpline.
*
* On error, all values of \p \_spline\_ are set to 0/NULL.
*
* @param n_ctrlp
* The number of control points of \p \_spline\_.
* @param dim
* The dimension of each control point in \p \_spline\_.
* @param deg
* The degree of \p \_spline\_.
* @param type
* How to setup the knot vector of \p \_spline\_.
* @param \_spline\_
* The output parameter storing the result of this function.
* @return TS_SUCCESS
* On success.
* @return TS_DIM_ZERO
* If \p deg == 0.
* @return TS_DEG_GE_NCTRLP
* If \p deg >= \p n_ctrlp.
* @return TS_NUM_KNOTS
* If \p type == ::TS_BEZIERS and (\p n_ctrlp % \p deg + 1) != 0.
* @return TS_MALLOC
* If allocating memory failed.
*/
tsError ts_bspline_new( size_t n_ctrlp, size_t dim, size_t deg,
tsBSplineType type, tsBSpline* _spline_ );
/**
* The copy constructor of tsBSpline.
*
* Creates a deep copy of \p original and stores the result in \p \_copy\_.
*
* On error, all values of \p \_copy\_ are set to 0/NULL. Does nothing, if
* \p original == \p \_copy\_.
*
* @param original
* The spline to deep copy.
* @param \_copy\_
* The output parameter storing the copied values of \p original.
* @return TS_SUCCESS
* On success.
* @return TS_MALLOC
* If allocating memory failed.
*/
tsError ts_bspline_copy( const tsBSpline* original, tsBSpline* _copy_ );
/**
* The move constructor of tsBSpline.
*
* Moves all values from \p from to \p \_to\_ and calls ::ts_bspline_default
* on \p from afterwards. Does nothing, if \p from == \p \_to\_.
*
* @param from
* The spline whose values are moved to \p \_to\_.
* @param \_to\_
* The output parameter storing the moved values of \p from.
*/
void ts_bspline_move( tsBSpline* from, tsBSpline* _to_ );
/**
* The destructor of tsBSpline.
*
* Frees all dynamically allocated memory in \p \_spline\_ and calls
* ::ts_bspline_default afterwards.
*
* @param \_spline\_
* The spline to free.
*/
void ts_bspline_free( tsBSpline* _spline_ );
/**
* The default constructor of tsDeBoorNet.
*
* All values of \p \_deBoorNet\_ are set to 0/NULL.
*
* @param \_deBoorNet\_
* The net whose values are set 0/NULL.
*/
void ts_deboornet_default( tsDeBoorNet* _deBoorNet_ );
/**
* The copy constructor of tsDeBoorNet.
*
* Creates a deep copy of \p original and stores the result in \p \_copy\_.
*
* On error, all values of \p _copy_ are set to 0/NULL. Does nothing, if
* \p original == \p \_copy\_.
*
* @param original
* The net to deep copy.
* @param \_copy\_
* The output parameter storing the copied values of \p original.
* @return TS_SUCCESS
* On success.
* @return TS_MALLOC
* If allocating memory failed.
*/
tsError ts_deboornet_copy( const tsDeBoorNet* original, tsDeBoorNet* _copy_ );
/**
* The move constructor of tsDeBoorNet.
*
* Moves all values from \p from to \p \_to\_ and calls ::ts_deboornet_default
* on \p from afterwards. Does nothing, if \p from == \p \_to\_.
*
* @param from
* The net whose values are moved to \p \_to\_.
* @param \_to\_
* The output parameter storing the moved values of \p from.
*/
void ts_deboornet_move( tsDeBoorNet* from, tsDeBoorNet* _to_ );
/**
* The destructor of tsDeBoorNet.
*
* Frees all dynamically allocated memory in \p \_deBoorNet\_ and calls
* ::ts_deboornet_default afterwards.
*
* @param \_deBoorNet\_
* The net to free.
*/
void ts_deboornet_free( tsDeBoorNet* _deBoorNet_ );
/******************************************************************************
* *
* Interpolation and Approximation Functions *
* *
* The following section contains functions to interpolate and approximate *
* arbitrary splines. *
* *
******************************************************************************/
/**
* Performs a cubic spline interpolation using the thomas algorithm, see:
*
* https://en.wikipedia.org/wiki/Tridiagonal_matrix_algorithm
* http://www.math.ucla.edu/~baker/149.1.02w/handouts/dd_splines.pdf
* http://www.bakoma-tex.com/doc/generic/pst-bspline/pst-bspline-doc.pdf
*
* The resulting spline is a sequence of bezier curves connecting each point
* in \p points. Each bezier curve _b_ is of degree 3 with \p dim being the
* dimension of the each control point in _b_. The total number of control
* points is (\p n - 1) * 4.
*
* On error, all values of \p \_spline\_ are set to 0/NULL.
*
* Note: \p n is the number of points in \p points and not the length of
* \p points. For instance, the follwing point vector yields to \p n = 4 and
* \p dim = 2:
*
* [x0, y0, x1, y1, x2, y2, x3, y3]
*
* @param points
* The points to interpolate.
* @param n
* The number of points in \p points.
* @param dim
* The dimension of each control point in \p \_spline\_.
* @param \_spline\_
* The output parameter storing the result of this function.
* @return TS_SUCCESS
* On success.
* @return TS_DIM_ZERO
* If \p dim == 0.
* @return TS_DEG_GE_NCTRLP
* If \p n < 2.
* @return TS_MALLOC
* If allocating memory failed.
*/
tsError ts_bspline_interpolate_cubic( const tsReal* points, size_t n,
size_t dim, tsBSpline* _spline_ );
/******************************************************************************
* *
* Query Functions *
* *
* The following section contains functions to query splines. *
* *
******************************************************************************/
/**
* Evaluates \p spline at knot value \p u and stores the result in
* \p \_deBoorNet\_.
*
* On error, all values of \p \_deBoorNet\_ are set to 0/NULL.
*
* @param spline
* The spline to evaluate.
* @param u
* The knot value to evaluate.
* @param \_deBoorNet\_
* The output parameter storing the evaluation result.
* @return TS_SUCCESS
* On success.
* @return TS_MULTIPLICITY
* If multiplicity s(\p u) > order of \p spline.
* @return TS_U_UNDEFINED
* If \p spline is not defined at knot value \p u.
* @return TS_MALLOC
* If allocating memory failed.
*/
tsError ts_bspline_evaluate( const tsBSpline* spline, tsReal u,
tsDeBoorNet* _deBoorNet_ );
/******************************************************************************
* *
* Transformation functions *
* *
* TinySpline is a library focusing on transformations. That is, most *
* functions are used to transform splines by modifying their state, e.g., *
* their number of control points, their degree, and so on. Accordingly, each *
* transformation functions specifies an input and output parameter (along *
* with the other parameters required to calculate the actual transformation). *
* By passing a different pointer to the output parameter, the transformation *
* result is calculated and stored without changing the state of the input. *
* This is in particular useful when dealing with errors as the original state *
* will never be modified. For instance, let's have a look at the following *
* code snippet: *
* *
* tsBSpline in = ... // an arbitrary spline *
* tsBSpline out; // result of transformation *
* *
* // Subdivide 'in' into sequence of bezier curves and store the result *
* // in 'out'. Does not change 'in' in any way. *
* tsError err = ts_bspline_to_beziers(&in, &out); *
* if (err != TS_SUCCESS) { *
* // fortunately, 'in' has not been changed *
* } *
* *
* Even if 'ts_bspline_to_beziers' fails, the state of 'in' has not been *
* changed allowing you to handle the error properly. *
* *
* Unless stated otherwise, the order of the parameters for transformation *
* functions is: *
* *
* function(input, [additional_input], output, [additional_output]) *
* *
* 'additional_input' are parameters required to calculate the actual *
* transformation. 'additional_output' are parameters storing further result. *
* *
* Note: None of TinySpline's transformation functions frees the memory of the *
* output parameter. Thus, when using the same output parameter multiple *
* times, make sure to free memory before each call. Otherwise, you will *
* have a bad time with memory leaks: *
* *
* tsBSpline in = ... // an arbitrary spline *
* tsBSpline out; // result of transformations *
* *
* ts_bspline_to_beziers(&in, &out); // first transformation *
* ... // some code *
* ts_bspline_free(&out); // avoid memory leak. *
* ts_bspline_buckle(&in, &out); // next transformation *
* *
* If you want to modify your input directly without having a separate output, *
* pass it as input and output at once: *
* *
* tsBSpline s = ... // an arbitrary spline *
* tsReal *knots = ... // a knot vector *
* *
* ts_bspline_set_knots(&s, knots, &s); // copy 'knots' into 's' *
* *
* Note: If a transformation function fails *and* input != output, all fields *
* of the output parameter are set to 0/NULL. If input == output, your *
* input may have an invalid state in case of errors. *
* *
******************************************************************************/
/**
* Computes the derivative of \p spline, see:
*
* http://www.cs.mtu.edu/~shene/COURSES/cs3621/NOTES/spline/B-spline/bspline-derv.html
*
* The derivative of a spline _s_ of degree _d_ with _m_ control points and
* _n_ knots is another spline _s'_ of degree _d-1_ with _m-1_ control points
* and _n-2_ knots, defined over _s_ as:
*
* \f{eqnarray*}{
* s'(u) &=& \sum_{i=0}^{n-1} N_{i+1,p-1}(u) *
* (P_{i+1} - P_{i}) * p / (u_{i+p+1}-u_{i+1}) \\
* &=& \sum_{i=1}^{n} N_{i,p-1}(u) *
* (P_{i} - P_{i-1}) * p / (u_{i+p}-u_{i})
* \f}
*
* If _s_ has a clamped knot vector, it can be shown that:
*
* \f{eqnarray*}{
* s'(u) &=& \sum_{i=0}^{n-1} N_{i,p-1}(u) *
* (P_{i+1} - P_{i}) * p / (u_{i+p+1}-u_{i+1})
* \f}
*
* where the multiplicity of the first and the last knot value _u_ is _p_
* rather than _p+1_.
*
* On error, (and if \p spline != \p \_derivative\_) all values of
* \p \_derivative\_ are set to 0/NULL.
*
* @param spline
* The spline to derive.
* @param \_derivative\_
* The output parameter storing the derivative of \p spline.
* @return TS_SUCCESS
* On success.
* @return TS_UNDERIVABLE
* If \p spline->deg < 1, \p spline->n_ctrlp < 2, or the multiplicity of
* an internal knot of \p spline is greater than the degree of \p spline.
* NOTE: This will be fixed in the future.
* @return TS_MALLOC
* If allocating memory failed.
*/
tsError ts_bspline_derive( const tsBSpline* spline, tsBSpline* _derivative_ );
/**
* Creates a deep copy of \p spline (only if \p spline != \p \_result\_) and
* copies the first \p spline->n_ctrlp * \p spline->dim values from \p ctrlp
* to \p \_result\_->ctrlp using memmove. The behaviour of this function is
* undefined, if the length of \p ctrlp is less than \p spline->n_ctrlp *
* \p spline->dim.
*
* On error, (and if \p spline != \p \_result\_) all values of \p \_result\_
* are set to 0/NULL.
*
* @param spline
* The spline to deep copy (if \p spline != \p \_result\_) and whose
* control points are replaced with \p ctrlp.
* @param ctrlp
* The control points to copy to \p \_result\_->ctrlp.
* @param \_result\_
* The output parameter storing the result of this function.
* @return TS_SUCCESS
* On success.
* @return TS_MALLOC
* If \p spline != \p \_result\_ and allocating memory failed.
*/
tsError ts_bspline_set_ctrlp( const tsBSpline* spline, const tsReal* ctrlp,
tsBSpline* _result_ );
/**
* Creates a deep copy of \p spline (only if \p spline != \p \_result\_) and
* copies the the first \p spline->n_knots from \p knots to \p \_result\_
* using memmove. The behaviour of this function is undefined, if the length
* of \p knots is less than \p spline->n_knots.
*
* On error, (and if \p spline != \p \_result\_) all values of \p \_result\_
* are set to 0/NULL.
*
* @param spline
* The spline to deep copy (if \p spline != \p \_result\_) and whose
* knots are replaced with \p knots.
* @param knots
* The knots to copy to \p \_result\_->knots.
* @param \_result\_
* The output parameter storing the result of this function.
* @return TS_SUCCESS
* On success.
* @return TS_MALLOC
* If \p spline != \p \_result\_ and allocating memory failed.
*/
tsError ts_bspline_set_knots( const tsBSpline* spline, const tsReal* knots,
tsBSpline* _result_ );
/**
* Fills the knot vector of \p spline according to \p type with minimum knot
* value \p min to maximum knot value \p max and stores the result in
* \p \_result\_. Creates a deep copy of \p spline, if
* \p spline != \p \_result\_.
*
* On error, (and if \p spline != \p \_result\_) all values of \p \_result\_
* are set to 0/NULL.
*
* @param spline
* The spline to deep copy (if \p spline != \p \_result\_) and whose knot
* vector is filled according to \p type with minimum knot value \p min
* and maximum knot value \p max.
* @param type
* How to fill the knot vector of \p \_result\_.
* @param min
* The minimum knot value of the knot vector of \p \_result\_.
* @param max
* The maximum knot value of the knot vector of \p \_result\_.
* @param \_result\_
* The output parameter storing the result of this function.
* @return TS_SUCCESS
* On success.
* @return TS_DEG_GE_NCTRLP
* If \p spline->n_knots < 2*(\p original->deg+1). We can reuse this
* error code because \p spline->n_knots < 2*(\p spline->deg+1) implies
* \p spline->deg >= \p spline->n_ctrlp. Furthermore, using
* TS_DEG_GE_NCTRLP instead of TS_NUM_KNOTS ensures that TS_NUM_KNOTS is
* not used twice for this function. To be more fail-safe,
* \p spline->deg+1 instead of \p spline->order is used, to make sure
* that \p spline->deg+1 >= 1.
* @return TS_NUM_KNOTS
* If \p type == TS_BEZIERS and
* \p spline->n_knots % \p spline->order != 0.
* @return TS_KNOTS_DECR
* If \p min >= \p max. (::ts_fequals is used to determine whether
* \p min == \p max).
* @return TS_MALLOC
* If \p spline != \p \_result\_ and allocating memory failed.
*/
tsError ts_bspline_fill_knots( const tsBSpline* spline, tsBSplineType type,
tsReal min, tsReal max, tsBSpline* _result_ );
/**
* Inserts the knot value \p u \p n times into \p spline and stores the result
* in \p \_result\_. Creates a deep copy of \p spline, if
* \p spline != \p \_result\_.
*
* On error, (and if \p spline != \p \_result\_) all values of \p \_result\_
* are set to 0/NULL.
*
* @param spline
* The spline to deep copy (if \p spline != \p \_result\_) and whose knot
* vector is extended with \p u \p n times.
* @param u
* The knot value to insert.
* @param n
* How many times \p u should be inserted.
* @param \_result\_
* The output parameter storing the updated knot vector.
* @param \_k\_
* The output parameter storing the last index of \p u in \p \_result\_.
* @return TS_SUCCESS
* On success.
* @return TS_MALLOC
* If \p spline != \p \_result\_ and allocating memory failed.
*/
tsError ts_bspline_insert_knot( const tsBSpline* spline, tsReal u, size_t n,
tsBSpline* _result_, size_t* _k_ );
/**
* Resizes \p spline by \p n (number of control points) and stores the result
* in \p \_resized\_. Creates a deep copy of \p spline, if
* \p spline != \p \_result\_. If \p back != 0 \p spline is resized at the
* end. If \p back == 0 \p spline is resized at front.
*
* On error, (and if \p spline != \p \_result\_) all values of \p \_result\_
* are set to 0/NULL.
*
* @return TS_SUCCESS
* On success.
* @return TS_DEG_GE_NCTRLP
* If the degree of \p \_resized\_ would be >= the number of the control
* points of \p \_resized\_.
* @return TS_DIM_ZERO
* If \p spline != \p \_result\_ and \p spline->dim == 0.
* @return TS_DEG_GE_NCTRLP
* If \p spline != \p \_result\_ and
* \p spline->deg >= \p spline->n_ctrlp.
* @return TS_MALLOC
* If \p spline != \p \_result\_ and allocating memory failed.
*/
tsError ts_bspline_resize( const tsBSpline* spline, int n, int back,
tsBSpline* _resized_ );
/**
* Splits \p spline at \p u and stores the result in \p \_split\_. That is,
* \p u is inserted _n_ times such that s(\p u) == \p \_split\_->order.
* Creates a deep copy of \p spline, if \p spline != \p \_split\_.
*
* On error, (and if \p spline != \p \_split\_) all values of \p \_split\_
* are set to 0/NULL.
*
* @param spline
* The spline to deep copy (if \p spline != \p \_result\_) and split.
* @param u
* The split point.
* @param \_split\_
* The output parameter storing the split spline.
* @param \_k\_
* The output parameter storing the last index of \p u in \p \_split\_.
* @return TS_SUCCESS
* On success.
* @return TS_MALLOC
* If \p spline != \p \_split\_ and allocating memory failed.
*/
tsError ts_bspline_split( const tsBSpline* spline, tsReal u,
tsBSpline* _split_, size_t* _k_ );
/**
* Buckles \p spline by \p b and stores the result in \p \_buckled\_. Creates
* a deep copy of \p spline, if \p spline != \p \_buckled\_.
*
* This function is based on:
*
* Holten, Danny. "Hierarchical edge bundles: Visualization of adjacency
* relations in hierarchical data." Visualization and Computer Graphics,
* IEEE Transactions on 12.5 (2006): 741-748.
*
* Holten calls it "straightening" (page 744, equation 1).
*
* Usually, the range of \p b is: 0.0 <= \p b <= 1.0 with 0 yielding to a line
* connecting the first and the last control point (no buckle) and 1 keeping
* the original shape (maximum buckle). If \b < 0 or \b > 1 the behaviour is
* undefined, though, it will not result in an error.
*
* On error, (and if \p spline != \p \_buckled\_) all values of \p \_buckled\_
* are set to 0/NULL.
*
* @param spline
* The spline to buckle by \p b.
* @param b
* The buckle factor (usually 0.0 <= \p b <= 1.0).
* @param \_buckled\_
* The output parameter storing the buckled spline.
* @return TS_SUCCESS
* On success.
* @return TS_MALLOC
* If \p spline != \p \_buckled\_ and allocating memory failed.
*/
tsError ts_bspline_buckle( const tsBSpline* original, tsReal b,
tsBSpline* _buckled_ );
/**
* Subdivides \p spline into a sequence of Bezier curvs by splitting it at
* each internal knot value. Creates a deep copy of \p spline, if
* \p spline != \p \_beziers\_.
*
* On error, (and if \p spline != \p \_beziers\_) all values of \p \_beziers\_
* are set to 0/NULL.
*
* @param spline
* The spline to subdivide into a sequence of Bezier curves.
* @param \_beziers\_
* The output parameter storing the sequence of Bezier curves.
* @return TS_SUCCESS
* On success.
* @return TS_MALLOC
* If \p spline != \p \_beizers\_ and allocating memory failed.
*/
tsError ts_bspline_to_beziers( const tsBSpline* spline, tsBSpline* _beziers_ );
/******************************************************************************
* *
* Utility Functions *
* *
* The following section contains utility functions used by TinySpline which *
* also may be helpful when working with this library. *
* *
******************************************************************************/
/**
* Compares the tsReal values \p x and \p y using an absolute and relative
* epsilon environment.
*
* @param x
* The x value to compare.
* @param y
* The y value to compare.
* @return 1
* If \p x is equals to \p y.
* @return 0
* Otherwise.
*/
int ts_fequals( tsReal x, tsReal y );
/**
* Returns the error message associated to \p err. Returns "unknown error" if
* \p err is no associated (indicating a bug) or is TS_SUCCESS (which is not
* an actual error).
*/
const char* ts_enum_str( tsError err );
/**
* Returns the error code associated to \p str or TS_SUCCESS if \p str is not
* associated. Keep in mind that by concept "unknown error" is not associated,
* though, TS_SUCCESS is returned.
*/
tsError ts_str_enum( const char* str );
/**
* Fills the given array \p arr with \p val from \p arr+0 to \p arr+ \p num
* (exclusive).
*/
void ts_arr_fill( tsReal* arr, size_t num, tsReal val );
/**
* Returns the euclidean distance of \p x and \p y consisting of \p dim
* components, respectively.
*
* @param x
* The x value.
* @param y
* The y value.
* @param dim
* The dimension of \p x and \p y.
* @return
* The euclidean distanc of \p x and \p y.
*/
tsReal ts_ctrlp_dist2( const tsReal* x, const tsReal* y, size_t dim );
#ifdef __cplusplus
}
#endif
#endif /* TINYSPLINE_H */