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basabuuka_prototyp/venv/lib/python3.5/site-packages/matplotlib/bezier.py

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"""
A module providing some utility functions regarding bezier path manipulation.
"""
import warnings
import numpy as np
from matplotlib.path import Path
class NonIntersectingPathException(ValueError):
pass
# some functions
def get_intersection(cx1, cy1, cos_t1, sin_t1,
cx2, cy2, cos_t2, sin_t2):
""" return a intersecting point between a line through (cx1, cy1)
and having angle t1 and a line through (cx2, cy2) and angle t2.
"""
# line1 => sin_t1 * (x - cx1) - cos_t1 * (y - cy1) = 0.
# line1 => sin_t1 * x + cos_t1 * y = sin_t1*cx1 - cos_t1*cy1
line1_rhs = sin_t1 * cx1 - cos_t1 * cy1
line2_rhs = sin_t2 * cx2 - cos_t2 * cy2
# rhs matrix
a, b = sin_t1, -cos_t1
c, d = sin_t2, -cos_t2
ad_bc = a * d - b * c
if np.abs(ad_bc) < 1.0e-12:
raise ValueError("Given lines do not intersect. Please verify that "
"the angles are not equal or differ by 180 degrees.")
# rhs_inverse
a_, b_ = d, -b
c_, d_ = -c, a
a_, b_, c_, d_ = [k / ad_bc for k in [a_, b_, c_, d_]]
x = a_ * line1_rhs + b_ * line2_rhs
y = c_ * line1_rhs + d_ * line2_rhs
return x, y
def get_normal_points(cx, cy, cos_t, sin_t, length):
"""
For a line passing through (*cx*, *cy*) and having a angle *t*, return
locations of the two points located along its perpendicular line at the
distance of *length*.
"""
if length == 0.:
return cx, cy, cx, cy
cos_t1, sin_t1 = sin_t, -cos_t
cos_t2, sin_t2 = -sin_t, cos_t
x1, y1 = length * cos_t1 + cx, length * sin_t1 + cy
x2, y2 = length * cos_t2 + cx, length * sin_t2 + cy
return x1, y1, x2, y2
# BEZIER routines
# subdividing bezier curve
# http://www.cs.mtu.edu/~shene/COURSES/cs3621/NOTES/spline/Bezier/bezier-sub.html
def _de_casteljau1(beta, t):
next_beta = beta[:-1] * (1 - t) + beta[1:] * t
return next_beta
def split_de_casteljau(beta, t):
"""split a bezier segment defined by its controlpoints *beta*
into two separate segment divided at *t* and return their control points.
"""
beta = np.asarray(beta)
beta_list = [beta]
while True:
beta = _de_casteljau1(beta, t)
beta_list.append(beta)
if len(beta) == 1:
break
left_beta = [beta[0] for beta in beta_list]
right_beta = [beta[-1] for beta in reversed(beta_list)]
return left_beta, right_beta
# FIXME spelling mistake in the name of the parameter ``tolerence``
def find_bezier_t_intersecting_with_closedpath(bezier_point_at_t,
inside_closedpath,
t0=0., t1=1., tolerence=0.01):
""" Find a parameter t0 and t1 of the given bezier path which
bounds the intersecting points with a provided closed
path(*inside_closedpath*). Search starts from *t0* and *t1* and it
uses a simple bisecting algorithm therefore one of the end point
must be inside the path while the orther doesn't. The search stop
when |t0-t1| gets smaller than the given tolerence.
value for
- bezier_point_at_t : a function which returns x, y coordinates at *t*
- inside_closedpath : return True if the point is inside the path
"""
# inside_closedpath : function
start = bezier_point_at_t(t0)
end = bezier_point_at_t(t1)
start_inside = inside_closedpath(start)
end_inside = inside_closedpath(end)
if start_inside == end_inside and start != end:
raise NonIntersectingPathException(
"Both points are on the same side of the closed path")
while True:
# return if the distance is smaller than the tolerence
if np.hypot(start[0] - end[0], start[1] - end[1]) < tolerence:
return t0, t1
# calculate the middle point
middle_t = 0.5 * (t0 + t1)
middle = bezier_point_at_t(middle_t)
middle_inside = inside_closedpath(middle)
if start_inside ^ middle_inside:
t1 = middle_t
end = middle
end_inside = middle_inside
else:
t0 = middle_t
start = middle
start_inside = middle_inside
class BezierSegment(object):
"""
A simple class of a 2-dimensional bezier segment
"""
# Higher order bezier lines can be supported by simplying adding
# corresponding values.
_binom_coeff = {1: np.array([1., 1.]),
2: np.array([1., 2., 1.]),
3: np.array([1., 3., 3., 1.])}
def __init__(self, control_points):
"""
*control_points* : location of contol points. It needs have a
shpae of n * 2, where n is the order of the bezier line. 1<=
n <= 3 is supported.
"""
_o = len(control_points)
self._orders = np.arange(_o)
_coeff = BezierSegment._binom_coeff[_o - 1]
xx, yy = np.asarray(control_points).T
self._px = xx * _coeff
self._py = yy * _coeff
def point_at_t(self, t):
"evaluate a point at t"
tt = ((1 - t) ** self._orders)[::-1] * t ** self._orders
_x = np.dot(tt, self._px)
_y = np.dot(tt, self._py)
return _x, _y
def split_bezier_intersecting_with_closedpath(bezier,
inside_closedpath,
tolerence=0.01):
"""
bezier : control points of the bezier segment
inside_closedpath : a function which returns true if the point is inside
the path
"""
bz = BezierSegment(bezier)
bezier_point_at_t = bz.point_at_t
t0, t1 = find_bezier_t_intersecting_with_closedpath(bezier_point_at_t,
inside_closedpath,
tolerence=tolerence)
_left, _right = split_de_casteljau(bezier, (t0 + t1) / 2.)
return _left, _right
def find_r_to_boundary_of_closedpath(inside_closedpath, xy,
cos_t, sin_t,
rmin=0., rmax=1., tolerence=0.01):
"""
Find a radius r (centered at *xy*) between *rmin* and *rmax* at
which it intersect with the path.
inside_closedpath : function
cx, cy : center
cos_t, sin_t : cosine and sine for the angle
rmin, rmax :
"""
cx, cy = xy
def _f(r):
return cos_t * r + cx, sin_t * r + cy
find_bezier_t_intersecting_with_closedpath(_f, inside_closedpath,
t0=rmin, t1=rmax,
tolerence=tolerence)
# matplotlib specific
def split_path_inout(path, inside, tolerence=0.01, reorder_inout=False):
""" divide a path into two segment at the point where inside(x, y)
becomes False.
"""
path_iter = path.iter_segments()
ctl_points, command = next(path_iter)
begin_inside = inside(ctl_points[-2:]) # true if begin point is inside
ctl_points_old = ctl_points
concat = np.concatenate
iold = 0
i = 1
for ctl_points, command in path_iter:
iold = i
i += len(ctl_points) // 2
if inside(ctl_points[-2:]) != begin_inside:
bezier_path = concat([ctl_points_old[-2:], ctl_points])
break
ctl_points_old = ctl_points
else:
raise ValueError("The path does not intersect with the patch")
bp = bezier_path.reshape((-1, 2))
left, right = split_bezier_intersecting_with_closedpath(
bp, inside, tolerence)
if len(left) == 2:
codes_left = [Path.LINETO]
codes_right = [Path.MOVETO, Path.LINETO]
elif len(left) == 3:
codes_left = [Path.CURVE3, Path.CURVE3]
codes_right = [Path.MOVETO, Path.CURVE3, Path.CURVE3]
elif len(left) == 4:
codes_left = [Path.CURVE4, Path.CURVE4, Path.CURVE4]
codes_right = [Path.MOVETO, Path.CURVE4, Path.CURVE4, Path.CURVE4]
else:
raise AssertionError("This should never be reached")
verts_left = left[1:]
verts_right = right[:]
if path.codes is None:
path_in = Path(concat([path.vertices[:i], verts_left]))
path_out = Path(concat([verts_right, path.vertices[i:]]))
else:
path_in = Path(concat([path.vertices[:iold], verts_left]),
concat([path.codes[:iold], codes_left]))
path_out = Path(concat([verts_right, path.vertices[i:]]),
concat([codes_right, path.codes[i:]]))
if reorder_inout and begin_inside is False:
path_in, path_out = path_out, path_in
return path_in, path_out
def inside_circle(cx, cy, r):
r2 = r ** 2
def _f(xy):
x, y = xy
return (x - cx) ** 2 + (y - cy) ** 2 < r2
return _f
# quadratic bezier lines
def get_cos_sin(x0, y0, x1, y1):
dx, dy = x1 - x0, y1 - y0
d = (dx * dx + dy * dy) ** .5
# Account for divide by zero
if d == 0:
return 0.0, 0.0
return dx / d, dy / d
def check_if_parallel(dx1, dy1, dx2, dy2, tolerence=1.e-5):
""" returns
* 1 if two lines are parralel in same direction
* -1 if two lines are parralel in opposite direction
* 0 otherwise
"""
theta1 = np.arctan2(dx1, dy1)
theta2 = np.arctan2(dx2, dy2)
dtheta = np.abs(theta1 - theta2)
if dtheta < tolerence:
return 1
elif np.abs(dtheta - np.pi) < tolerence:
return -1
else:
return False
def get_parallels(bezier2, width):
"""
Given the quadratic bezier control points *bezier2*, returns
control points of quadratic bezier lines roughly parallel to given
one separated by *width*.
"""
# The parallel bezier lines are constructed by following ways.
# c1 and c2 are control points representing the begin and end of the
# bezier line.
# cm is the middle point
c1x, c1y = bezier2[0]
cmx, cmy = bezier2[1]
c2x, c2y = bezier2[2]
parallel_test = check_if_parallel(c1x - cmx, c1y - cmy,
cmx - c2x, cmy - c2y)
if parallel_test == -1:
warnings.warn(
"Lines do not intersect. A straight line is used instead.")
cos_t1, sin_t1 = get_cos_sin(c1x, c1y, c2x, c2y)
cos_t2, sin_t2 = cos_t1, sin_t1
else:
# t1 and t2 is the angle between c1 and cm, cm, c2. They are
# also a angle of the tangential line of the path at c1 and c2
cos_t1, sin_t1 = get_cos_sin(c1x, c1y, cmx, cmy)
cos_t2, sin_t2 = get_cos_sin(cmx, cmy, c2x, c2y)
# find c1_left, c1_right which are located along the lines
# through c1 and perpendicular to the tangential lines of the
# bezier path at a distance of width. Same thing for c2_left and
# c2_right with respect to c2.
c1x_left, c1y_left, c1x_right, c1y_right = (
get_normal_points(c1x, c1y, cos_t1, sin_t1, width)
)
c2x_left, c2y_left, c2x_right, c2y_right = (
get_normal_points(c2x, c2y, cos_t2, sin_t2, width)
)
# find cm_left which is the intersectng point of a line through
# c1_left with angle t1 and a line through c2_left with angle
# t2. Same with cm_right.
if parallel_test != 0:
# a special case for a straight line, i.e., angle between two
# lines are smaller than some (arbitrtay) value.
cmx_left, cmy_left = (
0.5 * (c1x_left + c2x_left), 0.5 * (c1y_left + c2y_left)
)
cmx_right, cmy_right = (
0.5 * (c1x_right + c2x_right), 0.5 * (c1y_right + c2y_right)
)
else:
cmx_left, cmy_left = get_intersection(c1x_left, c1y_left, cos_t1,
sin_t1, c2x_left, c2y_left,
cos_t2, sin_t2)
cmx_right, cmy_right = get_intersection(c1x_right, c1y_right, cos_t1,
sin_t1, c2x_right, c2y_right,
cos_t2, sin_t2)
# the parallel bezier lines are created with control points of
# [c1_left, cm_left, c2_left] and [c1_right, cm_right, c2_right]
path_left = [(c1x_left, c1y_left),
(cmx_left, cmy_left),
(c2x_left, c2y_left)]
path_right = [(c1x_right, c1y_right),
(cmx_right, cmy_right),
(c2x_right, c2y_right)]
return path_left, path_right
def find_control_points(c1x, c1y, mmx, mmy, c2x, c2y):
""" Find control points of the bezier line through c1, mm, c2. We
simply assume that c1, mm, c2 which have parametric value 0, 0.5, and 1.
"""
cmx = .5 * (4 * mmx - (c1x + c2x))
cmy = .5 * (4 * mmy - (c1y + c2y))
return [(c1x, c1y), (cmx, cmy), (c2x, c2y)]
def make_wedged_bezier2(bezier2, width, w1=1., wm=0.5, w2=0.):
"""
Being similar to get_parallels, returns control points of two quadrativ
bezier lines having a width roughly parallel to given one separated by
*width*.
"""
# c1, cm, c2
c1x, c1y = bezier2[0]
cmx, cmy = bezier2[1]
c3x, c3y = bezier2[2]
# t1 and t2 is the angle between c1 and cm, cm, c3.
# They are also a angle of the tangential line of the path at c1 and c3
cos_t1, sin_t1 = get_cos_sin(c1x, c1y, cmx, cmy)
cos_t2, sin_t2 = get_cos_sin(cmx, cmy, c3x, c3y)
# find c1_left, c1_right which are located along the lines
# through c1 and perpendicular to the tangential lines of the
# bezier path at a distance of width. Same thing for c3_left and
# c3_right with respect to c3.
c1x_left, c1y_left, c1x_right, c1y_right = (
get_normal_points(c1x, c1y, cos_t1, sin_t1, width * w1)
)
c3x_left, c3y_left, c3x_right, c3y_right = (
get_normal_points(c3x, c3y, cos_t2, sin_t2, width * w2)
)
# find c12, c23 and c123 which are middle points of c1-cm, cm-c3 and
# c12-c23
c12x, c12y = (c1x + cmx) * .5, (c1y + cmy) * .5
c23x, c23y = (cmx + c3x) * .5, (cmy + c3y) * .5
c123x, c123y = (c12x + c23x) * .5, (c12y + c23y) * .5
# tangential angle of c123 (angle between c12 and c23)
cos_t123, sin_t123 = get_cos_sin(c12x, c12y, c23x, c23y)
c123x_left, c123y_left, c123x_right, c123y_right = (
get_normal_points(c123x, c123y, cos_t123, sin_t123, width * wm)
)
path_left = find_control_points(c1x_left, c1y_left,
c123x_left, c123y_left,
c3x_left, c3y_left)
path_right = find_control_points(c1x_right, c1y_right,
c123x_right, c123y_right,
c3x_right, c3y_right)
return path_left, path_right
def make_path_regular(p):
"""
fill in the codes if None.
"""
c = p.codes
if c is None:
c = np.empty(p.vertices.shape[:1], "i")
c.fill(Path.LINETO)
c[0] = Path.MOVETO
return Path(p.vertices, c)
else:
return p
def concatenate_paths(paths):
"""
concatenate list of paths into a single path.
"""
vertices = []
codes = []
for p in paths:
p = make_path_regular(p)
vertices.append(p.vertices)
codes.append(p.codes)
_path = Path(np.concatenate(vertices),
np.concatenate(codes))
return _path