#
#     This file is part of CasADi.
#
#     CasADi -- A symbolic framework for dynamic optimization.
#     Copyright (C) 2010-2014 <NAME>, <NAME>, <NAME>,
#                             <NAME>. All rights reserved.
#     Copyright (C) 2011-2014 <NAME>
#
#     CasADi is free software; you can redistribute it and/or
#     modify it under the terms of the GNU Lesser General Public
#     License as published by the Free Software Foundation; either
#     version 3 of the License, or (at your option) any later version.
#
#     CasADi is distributed in the hope that it will be useful,
#     but WITHOUT ANY WARRANTY; without even the implied warranty of
#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
#     Lesser General Public License for more details.
#
#     You should have received a copy of the GNU Lesser General Public
#     License along with CasADi; if not, write to the Free Software
#     Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
#
#
from casadi import *

#! Read all about coloring in the seminal paper "What color is your Jacobian?" http://www.cs.odu.edu/~pothen/Papers/sirev2005.pdf
def color(A):
  print("="*80)
  print("Original:")
  print(repr(IM(A,1)))
  print("Colored: ")
  print(repr(IM(A.uni_coloring(),1)))

A = Sparsity.diag(5)
color(A)
#! One direction needed to capture all
color(Sparsity.dense(5,10))
#! We need 5 directions.
#! The colored response reads: each row corresponds to a direction;
#! each column correspond to a row of the original matrix.

color(A+Sparsity.triplet(5,5,[0],[4]))
#! First 4 rows can be taken together, the fifth row is taken separately
color(A+Sparsity.triplet(5,5,[4],[0]))
#! First 4 rows can be taken together, the fifth row is taken separately

color(A+Sparsity.triplet(5,5,[0]*5,list(range(5))))
#! The first row is taken separately.
#! The remainding rows are lumped together in one direction.

color(A+Sparsity.triplet(5,5,list(range(5)),[0]*5))
#! We need 5 directions.

#! Next, we look at star_coloring

def color(A):
  print("="*80)
  print("Original:")
  print(repr(IM(A,1)))
  print("Star colored: ")
  print(repr(IM(A.star_coloring(1),1)))
  
color(A)
#! One direction needed to capture all

color(Sparsity.dense(5,5))
#! We need 5 directions.

color(A+Sparsity.triplet(5,5,[0]*5,list(range(5)))+Sparsity.triplet(5,5,list(range(5)),[0]*5))
#! The first row/col is taken separately.
#! The remainding rows/cols are lumped together in one direction.

#! Let's take an example from the paper

A = IM([[1,1,0,0,0,0],[1,1,1,0,1,1],[0,1,1,1,0,0],[0,0,1,1,0,1],[0,1,0,0,1,0],[0,1,0,1,0,1]])
A = sparsify(A)
color(A.sparsity())

#
#     This file is part of CasADi.
#
#     CasADi -- A symbolic framework for dynamic optimization.
#     Copyright (C) 2010-2014 <NAME>, <NAME>, <NAME>,
#                             <NAME>. All rights reserved.
#     Copyright (C) 2011-2014 <NAME>
#
#     CasADi is free software; you can redistribute it and/or
#     modify it under the terms of the GNU Lesser General Public
#     License as published by the Free Software Foundation; either
#     version 3 of the License, or (at your option) any later version.
#
#     CasADi is distributed in the hope that it will be useful,
#     but WITHOUT ANY WARRANTY; without even the implied warranty of
#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
#     Lesser General Public License for more details.
#
#     You should have received a copy of the GNU Lesser General Public
#     License along with CasADi; if not, write to the Free Software
#     Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
#
#
from casadi import *

#! Read all about coloring in the seminal paper "What color is your Jacobian?" http://www.cs.odu.edu/~pothen/Papers/sirev2005.pdf
def color(A):
  print("="*80)
  print("Original:")
  print(repr(IM(A,1)))
  print("Colored: ")
  print(repr(IM(A.uni_coloring(),1)))

A = Sparsity.diag(5)
color(A)
#! One direction needed to capture all
color(Sparsity.dense(5,10))
#! We need 5 directions.
#! The colored response reads: each row corresponds to a direction;
#! each column correspond to a row of the original matrix.

color(A+Sparsity.triplet(5,5,[0],[4]))
#! First 4 rows can be taken together, the fifth row is taken separately
color(A+Sparsity.triplet(5,5,[4],[0]))
#! First 4 rows can be taken together, the fifth row is taken separately

color(A+Sparsity.triplet(5,5,[0]*5,list(range(5))))
#! The first row is taken separately.
#! The remainding rows are lumped together in one direction.

color(A+Sparsity.triplet(5,5,list(range(5)),[0]*5))
#! We need 5 directions.

#! Next, we look at star_coloring

def color(A):
  print("="*80)
  print("Original:")
  print(repr(IM(A,1)))
  print("Star colored: ")
  print(repr(IM(A.star_coloring(1),1)))
  
color(A)
#! One direction needed to capture all

color(Sparsity.dense(5,5))
#! We need 5 directions.

color(A+Sparsity.triplet(5,5,[0]*5,list(range(5)))+Sparsity.triplet(5,5,list(range(5)),[0]*5))
#! The first row/col is taken separately.
#! The remainding rows/cols are lumped together in one direction.

#! Let's take an example from the paper

A = IM([[1,1,0,0,0,0],[1,1,1,0,1,1],[0,1,1,1,0,0],[0,0,1,1,0,1],[0,1,0,0,1,0],[0,1,0,1,0,1]])
A = sparsify(A)
color(A.sparsity())

# #     This file is part of CasADi. # #     CasADi -- A symbolic framework for dynamic optimization. #     Copyright (C) 2010-2014 <NAME>, <NAME>, <NAME>, #                             <NAME>. All rights reserved. #     Copyright (C) 2011-2014 <NAME> # #     CasADi is free software; you can redistribute it and/or #     modify it under the terms of the GNU Lesser General Public #     License as published by the Free Software Foundation; either #     version 3 of the License, or (at your option) any later version. # #     CasADi is distributed in the hope that it will be useful, #     but WITHOUT ANY WARRANTY; without even the implied warranty of #     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU #     Lesser General Public License for more details. # #     You should have received a copy of the GNU Lesser General Public #     License along with CasADi; if not, write to the Free Software #     Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA # # #! Read all about coloring in the seminal paper "What color is your Jacobian?" http://www.cs.odu.edu/~pothen/Papers/sirev2005.pdf #! One direction needed to capture all #! We need 5 directions. #! The colored response reads: each row corresponds to a direction; #! each column correspond to a row of the original matrix. #! First 4 rows can be taken together, the fifth row is taken separately #! First 4 rows can be taken together, the fifth row is taken separately #! The first row is taken separately. #! The remainding rows are lumped together in one direction. #! We need 5 directions. #! Next, we look at star_coloring #! One direction needed to capture all #! We need 5 directions. #! The first row/col is taken separately. #! The remainding rows/cols are lumped together in one direction. #! Let's take an example from the paper