U L?hw@s<ddlmZmZddlmZddlmZGdddeZdS))BasicExpr)_sympify) transposec@s"eZdZdZddZdddZdS) DotProductaC Dot product of vector matrices The input should be two 1 x n or n x 1 matrices. The output represents the scalar dotproduct. This is similar to using MatrixElement and MatMul, except DotProduct does not require that one vector to be a row vector and the other vector to be a column vector. >>> from sympy import MatrixSymbol, DotProduct >>> A = MatrixSymbol('A', 1, 3) >>> B = MatrixSymbol('B', 1, 3) >>> DotProduct(A, B) DotProduct(A, B) >>> DotProduct(A, B).doit() A[0, 0]*B[0, 0] + A[0, 1]*B[0, 1] + A[0, 2]*B[0, 2] cCszt||f\}}|jstd|js,tdd|jkr>tdd|jkrPtdt|jt|jkrltdt|||S)Nz(Argument 1 of DotProduct is not a matrixz(Argument 2 of DotProduct is not a matrixz(Argument 1 of DotProduct is not a vectorz(Argument 2 of DotProduct is not a vectorz,DotProduct arguments are not the same length)rZ is_Matrix TypeErrorshapesetr__new__)clsZarg1Zarg2r W/var/www/html/venv/lib/python3.8/site-packages/sympy/matrices/expressions/dotproduct.pyr s  zDotProduct.__new__FcKs|jdj|jdjkr`|jdjddkrF|jdt|jd}qt|jd|jd}nF|jdjddkr|jd|jd}nt|jdt|jd}|dS)Nrr)argsr r)selfexpandhintsmulr r rdoit+szDotProduct.doitN)F)__name__ __module__ __qualname____doc__r rr r r rrsrN)Z sympy.corerrZsympy.core.sympifyrZ$sympy.matrices.expressions.transposerrr r r rs