from sympy.tensor import Indexed from sympy.core.containers import Tuple from sympy.core.symbol import Dummy from sympy.core.sympify import sympify from sympy.integrals.integrals import Integral class IndexedIntegral(Integral): """ Experimental class to test integration by indexed variables. Usage is analogue to ``Integral``, it simply adds awareness of integration over indices. Contraction of non-identical index symbols referring to the same ``IndexedBase`` is not yet supported. Examples ======== >>> from sympy.sandbox.indexed_integrals import IndexedIntegral >>> from sympy import IndexedBase, symbols >>> A = IndexedBase('A') >>> i, j = symbols('i j', integer=True) >>> ii = IndexedIntegral(A[i], A[i]) >>> ii Integral(_A[i], _A[i]) >>> ii.doit() A[i]**2/2 If the indices are different, indexed objects are considered to be different variables: >>> i2 = IndexedIntegral(A[j], A[i]) >>> i2 Integral(A[j], _A[i]) >>> i2.doit() A[i]*A[j] """ def __new__(cls, function, *limits, **assumptions): repl, limits = IndexedIntegral._indexed_process_limits(limits) function = sympify(function) function = function.xreplace(repl) obj = Integral.__new__(cls, function, *limits, **assumptions) obj._indexed_repl = repl obj._indexed_reverse_repl = {val: key for key, val in repl.items()} return obj def doit(self): res = super().doit() return res.xreplace(self._indexed_reverse_repl) @staticmethod def _indexed_process_limits(limits): repl = {} newlimits = [] for i in limits: if isinstance(i, (tuple, list, Tuple)): v = i[0] vrest = i[1:] else: v = i vrest = () if isinstance(v, Indexed): if v not in repl: r = Dummy(str(v)) repl[v] = r newlimits.append((r,)+vrest) else: newlimits.append(i) return repl, newlimits