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Click on a line that starts with a "+" to see the C code that Cython generated for it.

Raw output: cell_tree2d.cpp

+001: import cython
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+002: import numpy as np
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 003: cimport numpy as cnp
 004: from libcpp.vector cimport vector
 005: 
 006: cdef extern from "cell_tree2d.h" :
 007: 
 008:     cdef cppclass CellTree2D:
 009:         CellTree2D(double*, int, int*, int, int, int, int) except +
 010:         int locate_points(double*, int*, int)
 011:         int size()
 012:         int num_buckets, boxes_per_leaf, poly, v_len, f_len
 013: 
 014:         cppclass node:
 015:             node()
 016:             int child
 017:             double Lmax
 018:             double Rmin
 019:             int ptr
 020:             int size
 021:             bint dim
 022: 
 023:         vector[node] nodes
 024:         vector[int] bb_indices
 025: 
 026: #     ctypedef struct CellTree2D.node:
 027: #         int child
 028: #         double Lmax
 029: #         double Rmin
 030: #         int ptr
 031: #         int size
 032: #         bint dim
 033: 
 034: 
+035: cdef class CellTree:
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 037:     cdef object verts, faces
 038:     cdef CellTree2D* thisptr
 039: 
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 041:                   verts,
 042:                   faces,
 043:                   int num_buckets=4,
 044:                   int cells_per_leaf=2):
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 046:         """
 047:         Initilize a CellTree
 048: 
 049:         :param verts: The vertices of the nodes of the mesh
 050:         :type verts: Nx2 numpy array of float64, or something that can be turned into one
 051: 
 052:         :param faces: The indices of the nodes of each face
 053:         :type faces: Nx3 numpy array of np.intc (for triangles -- Nx4 for quads)
 054: 
 055:         :param num_buckets=4: Number of buckets to divide cells when building tree.
 056:                               More buckets results in a better balanced tree --
 057:                               fewer buckets results in a faster tree build time.
 058:         :type num_buckets: integer
 059: 
 060:         :param cells_per_leaf=2: number of cells in the final leaf -- more cells in the leaf
 061:                                  results  in a smaller tree (less memory), but then it takes
 062:                                  longer to find which cell you are in at the end.
 063:         :type cells_per_leaf: integer
 064:         """
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 068:         cdef cnp.ndarray[int, ndim=2, mode="c"] faces_arr
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