test display and latex method for affine transformations

tst/categorical_vs_direct_constructions.tst

@@ -9,6 +9,34 @@ gap> Assert( 0, Para.SoftmaxCrossEntropyLoss_( 3 ) = Para.SoftmaxCrossEntropyLos
 gap> Assert( 0, Para.QuadraticLoss_( 3 ) = Para.QuadraticLoss( 3 ) );
 gap> Assert( 0, Para.SigmoidBinaryCrossEntropyLoss_( 1 ) = Para.SigmoidBinaryCrossEntropyLoss( 1 ) );
 gap> Assert( 0, Para.AffineTransformation_( 3, 4 ) = Para.AffineTransformation( 3, 4 ) );
+gap> l := Para.AffineTransformation( 3, 4 );
+ℝ^3 -> ℝ^4 defined by:
+
+Parameter Object:
+-----------------
+ℝ^16
+
+Parametrised Morphism:
+----------------------
+ℝ^19 -> ℝ^4
+gap> dummy_input := DummyInputForAffineTransformation( 3, 4, "w", "b", "x" );;
+gap> Display( l : dummy_input := dummy_input );
+ℝ^3 -> ℝ^4 defined by:
+
+Parameter Object:
+-----------------
+ℝ^16
+
+Parametrised Morphism:
+----------------------
+ℝ^19 -> ℝ^4
+
+‣ w1_1 * x1 + w2_1 * x2 + w3_1 * x3 + b_1
+‣ w1_2 * x1 + w2_2 * x2 + w3_2 * x3 + b_2
+‣ w1_3 * x1 + w2_3 * x2 + w3_3 * x3 + b_3
+‣ w1_4 * x1 + w2_4 * x2 + w3_4 * x3 + b_4
+gap> LaTeXOutput( UnderlyingMorphism( l ) : dummy_input := dummy_input );
+"\\begin{array}{c}\n\\mathbb{R}^{19}\\rightarrow\\mathbb{R}^{4}\\\\ \n \\hline \\\\ \n \\left( \\begin{array}{l}\nb_{1} + w_{1 1} x_{1} + w_{2 1} x_{2} + w_{3 1} x_{3} \\\\ \n b_{2} + w_{1 2} x_{1} + w_{2 2} x_{2} + w_{3 2} x_{3} \\\\ \n b_{3} + w_{1 3} x_{1} + w_{2 3} x_{2} + w_{3 3} x_{3} \\\\ \n b_{4} + w_{1 4} x_{1} + w_{2 4} x_{2} + w_{3 4} x_{3}\n\\end{array} \\right)\\\\ \n \\\\ \n \\hline \\\\ \n \\left( \\begin{array}{lllllllllllllllllll}\nx_{1} & x_{2} & x_{3} & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & w_{1 1} & w_{2 1} & w_{3 1} \\\\ \n 0 & 0 & 0 & 0 & x_{1} & x_{2} & x_{3} & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & w_{1 2} & w_{2 2} & w_{3 2} \\\\ \n 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & x_{1} & x_{2} & x_{3} & 1 & 0 & 0 & 0 & 0 & w_{1 3} & w_{2 3} & w_{3 3} \\\\ \n 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & x_{1} & x_{2} & x_{3} & 1 & w_{1 4} & w_{2 4} & w_{3 4}\n\\end{array} \\right)\n\\end{array}"
 gap> Eval( Smooth.PolynomialTransformation( 2, 3, 4 ), [ 1 .. 47 ] );
 [ 122341573, 479204128, 836066683 ]
 gap> EvalJacobianMatrix( Smooth.PolynomialTransformation( 2, 3, 4 ), [ 1 .. 47 ] );