// Consider the following code: import sympy as sp sm=sp.Symbol( "m" ) sYm=sp.Symbol( "Ym" ) sl=sp.Symbol( "lambda" ) sd=sp.Symbol( "D" ) expry=sYm/(sl*sd) um=sp.Symbol( "um" ) uYm=sp.Symbol( "uYm" ) ul=sp.Symbol( "ulambda" ) ud=sp.Symbol( "uD" ) derivs=np.array(expry.diff(symbols)) derivs=derivs*np.array([um,uYm,ul,ud]) derivs=np.dot(derivs,derivs) expr_y_f=sp.lambdify([sm,um,sYm,uYm,sl,ul,sd,ud],expry) u_expr_y_f=sp.lambdify([sm,um,sYm,uYm,sl,ul,sd,ud],derivs) What does this code do?

Question

Answer

Creates functions expr_y_f and u_expr_y_f which compute    and its associated uncertainty, but does so incorrectly because it does not add in quadrature correctly (forgetting to sum the various contributions).

Answer

Creates functions expr_y_f and u_expr_y_f which compute    and its associated uncertainty, but does so incorrectly because it does not add in quadrature correctly (forgetting to take a square root).

Answer

Creates functions expr_y_f and u_expr_y_f which compute    and its associated uncertainty, but does so incorrectly because it does not add in quadrature correctly (forgetting to sum the various contributions and to take a square root of the result).

Answer

Creates functions expr_y_f and u_expr_y_f which compute    and its associated uncertainty.

Answer

Creates functions expr_y_f and u_expr_y_f which compute    and its associated uncertainty.

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