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#/*##########################################################################
#
# The PyMca X-Ray Fluorescence Toolkit
#
# Copyright (c) 2004-2015 European Synchrotron Radiation Facility
#
# This file is part of the PyMca X-ray Fluorescence Toolkit developed at
# the ESRF by the Software group.
#
# 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.
#
#############################################################################*/
cimport cython
from InsidePolygonWithBounds cimport PointsInsidePolygon as _pnpoly
from InsidePolygonWithBounds cimport PointsInsidePolygonF as _pnpolyf
from InsidePolygonWithBounds cimport PointsInsidePolygonInt as _pnpolyInt32
cimport numpy
import numpy
# From numpy_common.pxi to avoid warnings while compiling C code
# See this thread:
# https://mail.python.org/pipermail//cython-devel/2012-March/002137.html
cdef extern from *:
bint FALSE "0"
void import_array()
void import_umath()
if FALSE:
import_array()
import_umath()
include "MinMax.pyx"
include "Colormap.pyx"
@cython.boundscheck(False)
def pnpoly(vertices, points, bint border=True):
"""
:param vertices: Array Nx2 with the coordenates of the polygon vertices
:type vertices: ndarray
:param points: Points to be checked out.
:type points: ndarray Nx2 or list of [x, y] pairs
:param border: Flag to indicate if a pointon a vertex is to be in or out
:type border: boolean (default True)
"""
if isinstance(points, numpy.ndarray):
if points.dtype == numpy.float32:
return _pnpolyFloat(vertices, points, border)
elif points.dtype in [numpy.int32, numpy.int8, numpy.int16,
numpy.uint32, numpy.uint8, numpy.uint16]:
return _pnpolyInt(vertices, points, border)
return _pnpolyd(vertices, points, border)
@cython.boundscheck(False)
def _pnpolyd(vertices, points, bint border=True):
cdef double[:,:] c_vertices = numpy.ascontiguousarray(vertices,
dtype=numpy.float64)
cdef int n_vertices = c_vertices.shape[0]
assert c_vertices.shape[1] == 2
cdef double[:,:] c_points = numpy.ascontiguousarray(points,
dtype=numpy.float64)
cdef int n_points = c_points.shape[0]
assert c_points.shape[1] == 2
cdef numpy.ndarray[numpy.uint8_t, ndim=1] mask = \
numpy.zeros((n_points, ), dtype=numpy.uint8)
with nogil:
_pnpoly(&c_vertices[0,0], n_vertices, &c_points[0,0], n_points,
border, &mask[0])
return mask
@cython.boundscheck(False)
def _pnpolyFloat(vertices, points, bint border=True):
cdef double[:,:] c_vertices = numpy.ascontiguousarray(vertices,
dtype=numpy.float64)
cdef int n_vertices = c_vertices.shape[0]
assert c_vertices.shape[1] == 2
cdef float[:,:] c_points = numpy.ascontiguousarray(points,
dtype=numpy.float32)
cdef int n_points = c_points.shape[0]
assert c_points.shape[1] == 2
cdef numpy.ndarray[numpy.uint8_t, ndim=1] mask = \
numpy.zeros((n_points, ), dtype=numpy.uint8)
with nogil:
_pnpolyf(&c_vertices[0,0], n_vertices, &c_points[0,0], n_points,
border, &mask[0])
return mask
@cython.boundscheck(False)
def _pnpolyInt(vertices, points, bint border=True):
cdef double[:,:] c_vertices = numpy.ascontiguousarray(vertices,
dtype=numpy.float64)
cdef int n_vertices = c_vertices.shape[0]
assert c_vertices.shape[1] == 2
cdef int[:,:] c_points = numpy.ascontiguousarray(points,
dtype=numpy.int32)
cdef int n_points = c_points.shape[0]
assert c_points.shape[1] == 2
cdef numpy.ndarray[numpy.uint8_t, ndim=1] mask = \
numpy.zeros((n_points, ), dtype=numpy.uint8)
with nogil:
_pnpolyInt32(&c_vertices[0,0], n_vertices, &c_points[0,0], n_points,
border, &mask[0])
return mask
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