eja: drop obsolete _vec2mat and _mat2vec helpers.

[sage.d.git] / mjo / eja / eja_algebra.py

diff --git a/mjo/eja/eja_algebra.py b/mjo/eja/eja_algebra.py
index 6fb4baa5f87ca09d3deef5bf3e4d9eb9a241188a..d02b55836c3b47608120f9d72f5cab91d2d04ed4 100644 (file)
--- a/mjo/eja/eja_algebra.py
+++ b/mjo/eja/eja_algebra.py
@@ -168,7 +168,7 @@ from sage.rings.all import (ZZ, QQ, AA, QQbar, RR, RLF, CLF,
                             QuadraticField)
 from mjo.eja.eja_element import FiniteDimensionalEJAElement
 from mjo.eja.eja_operator import FiniteDimensionalEJAOperator
-from mjo.eja.eja_utils import _all2list, _mat2vec
+from mjo.eja.eja_utils import _all2list
 
 def EuclideanJordanAlgebras(field):
     r"""
@@ -1281,7 +1281,9 @@ class FiniteDimensionalEJA(CombinatorialFreeModule):
         #
         # Of course, matrices aren't vectors in sage, so we have to
         # appeal to the "long vectors" isometry.
-        oper_vecs = [ _mat2vec(g.operator().matrix()) for g in self.gens() ]
+
+        V = VectorSpace(self.base_ring(), self.dimension()**2)
+        oper_vecs = [ V(g.operator().matrix().list()) for g in self.gens() ]
 
         # Now we use basic linear algebra to find the coefficients,
         # of the matrices-as-vectors-linear-combination, which should
@@ -1291,7 +1293,7 @@ class FiniteDimensionalEJA(CombinatorialFreeModule):
         # We used the isometry on the left-hand side already, but we
         # still need to do it for the right-hand side. Recall that we
         # wanted something that summed to the identity matrix.
-        b = _mat2vec( matrix.identity(self.base_ring(), self.dimension()) )
+        b = V( matrix.identity(self.base_ring(), self.dimension()).list() )
 
         # Now if there's an identity element in the algebra, this
         # should work. We solve on the left to avoid having to