"""
Copyright 2013 <NAME>

This file is part of CVXPY.

CVXPY is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

CVXPY 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 General Public License for more details.

You should have received a copy of the GNU General Public License
along with CVXPY.  If not, see <http://www.gnu.org/licenses/>.
"""

from cvxpy.atoms.affine.affine_atom import AffAtom
import cvxpy.utilities as u
import cvxpy.interface as intf
import cvxpy.lin_ops.lin_utils as lu
import numpy as np

class reshape(AffAtom):
    """ Reshapes the expression.

    Vectorizes the expression then unvectorizes it into the new shape.
    The entries are stored in column-major order.
    """
    def __init__(self, expr, rows, cols):
        self.rows = rows
        self.cols = cols
        super(reshape, self).__init__(expr)

    @AffAtom.numpy_numeric
    def numeric(self, values):
        """Reshape the value.
        """
        return np.reshape(values[0], (self.rows, self.cols), "F")

    def validate_arguments(self):
        """Checks that the new shape has the same number of entries as the old.
        """
        old_len = self.args[0].size[0]*self.args[0].size[1]
        new_len = self.rows*self.cols
        if not old_len == new_len:
            raise ValueError(
                "Invalid reshape dimensions (%i, %i)." % (self.rows, self.cols)
            )

    def shape_from_args(self):
        """Returns the shape from the rows, cols arguments.
        """
        return u.Shape(self.rows, self.cols)

    @staticmethod
    def graph_implementation(arg_objs, size, data=None):
        """Convolve two vectors.

        Parameters
        ----------
        arg_objs : list
            LinExpr for each argument.
        size : tuple
            The size of the resulting expression.
        data :
            Additional data required by the atom.

        Returns
        -------
        tuple
            (LinOp for objective, list of constraints)
        """
        return (lu.reshape(arg_objs[0], size), [])

"""
Copyright 2013 <NAME>

This file is part of CVXPY.

CVXPY is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

CVXPY 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 General Public License for more details.

You should have received a copy of the GNU General Public License
along with CVXPY.  If not, see <http://www.gnu.org/licenses/>.
"""

from cvxpy.atoms.affine.affine_atom import AffAtom
import cvxpy.utilities as u
import cvxpy.interface as intf
import cvxpy.lin_ops.lin_utils as lu
import numpy as np

class reshape(AffAtom):
    """ Reshapes the expression.

    Vectorizes the expression then unvectorizes it into the new shape.
    The entries are stored in column-major order.
    """
    def __init__(self, expr, rows, cols):
        self.rows = rows
        self.cols = cols
        super(reshape, self).__init__(expr)

    @AffAtom.numpy_numeric
    def numeric(self, values):
        """Reshape the value.
        """
        return np.reshape(values[0], (self.rows, self.cols), "F")

    def validate_arguments(self):
        """Checks that the new shape has the same number of entries as the old.
        """
        old_len = self.args[0].size[0]*self.args[0].size[1]
        new_len = self.rows*self.cols
        if not old_len == new_len:
            raise ValueError(
                "Invalid reshape dimensions (%i, %i)." % (self.rows, self.cols)
            )

    def shape_from_args(self):
        """Returns the shape from the rows, cols arguments.
        """
        return u.Shape(self.rows, self.cols)

    @staticmethod
    def graph_implementation(arg_objs, size, data=None):
        """Convolve two vectors.

        Parameters
        ----------
        arg_objs : list
            LinExpr for each argument.
        size : tuple
            The size of the resulting expression.
        data :
            Additional data required by the atom.

        Returns
        -------
        tuple
            (LinOp for objective, list of constraints)
        """
        return (lu.reshape(arg_objs[0], size), [])

Copyright 2013 <NAME>  This file is part of CVXPY.  CVXPY is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.  CVXPY 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 General Public License for more details.  You should have received a copy of the GNU General Public License along with CVXPY.  If not, see <http://www.gnu.org/licenses/>. Reshapes the expression.      Vectorizes the expression then unvectorizes it into the new shape.     The entries are stored in column-major order. Reshape the value. Checks that the new shape has the same number of entries as the old. Returns the shape from the rows, cols arguments. Convolve two vectors.          Parameters         ----------         arg_objs : list             LinExpr for each argument.         size : tuple             The size of the resulting expression.         data :             Additional data required by the atom.          Returns         -------         tuple             (LinOp for objective, list of constraints)