+ A•üiÓãó$€^RIHt^RItRRltR#)é)Ú trimap_splitNcó€VPR,wrE\V4wrgr‰W(,p W&,p \PP V 4p W ,p V P 4p V P 4V'dWÛV 3#WÛ3#)ašThis function constructs a linear system from a matting Laplacian by constraining the foreground and background pixels with a diagonal matrix `C` to values in the right-hand-side vector `b`. The constraints are weighted by a factor :math:`\lambda`. The linear system is given as .. math:: A = L + \lambda C, where :math:`C=\mathop{Diag}(c)` having :math:`c_i = 1` if pixel i is known and :math:`c_i = 0` otherwise. The right-hand-side :math:`b` is a vector with entries :math:`b_i = 1` is pixel is is a foreground pixel and :math:`b_i = 0` otherwise. Parameters ---------- L: scipy.sparse.spmatrix Laplacian matrix, e.g. calculated with :code:`lbdm_laplacian` function trimap: numpy.ndarray Trimap with shape :math:`h\times w` lambda_value: float Constraint penalty, defaults to 100 return_c: bool Whether to return the constraint matrix `C`, defaults to False Returns ------- A: scipy.sparse.spmatrix Matrix describing the system of linear equations b: numpy.ndarray Vector describing the right-hand side of the system C: numpy.ndarray Vector describing the diagonal entries of the matrix `C`, only returned if `return_c` is set to True :NéN)ÚshaperÚscipyÚsparseÚdiagsÚtocsrÚsum_duplicates)ÚLÚtrimapÚ lambda_valueÚreturn_cÚhÚwÚis_fgÚis_bgÚis_knownÚ is_unknownÚcÚbÚCÚAs&&&& Ú[/var/www/html/photoedit/myenv/lib/python3.14/site-packages/pymatting/laplacian/laplacian.pyÚmake_linear_systemrsy€ðJ <‰<˜Õ D€Aä)5°fÓ)=Ñ&€E(àÕ€AØÕ€Aä ‰ ×ј1Ó€Aà €Aà ‰‹ €Aà×ÑÔçØQˆwˆà ˆ4€Kó)gY@F)Úpymatting.util.utilrÚ scipy.sparserr©rrÚr sðÝ,Ûö7r