def _eval_as_leading_term(self, x):
from diofant import factor_terms
expr = self.func(*[t.as_leading_term(x) for t in self.args]).removeO()
if not expr:
# simple leading term analysis gave us 0 but we have to send
# back a term, so compute the leading term (via series)
return self.compute_leading_term(x)
elif not expr.is_Add:
return expr
else:
plain = expr.func(*[s for s, _ in expr.extract_leading_order(x)])
rv = factor_terms(plain, fraction=False)
rv_simplify = rv.simplify()
# if it simplifies to an x-free expression, return that;
# tests don't fail if we don't but it seems nicer to do this
if x not in rv_simplify.free_symbols:
if rv_simplify.is_zero and plain.is_zero is not True:
return (expr - plain)._eval_as_leading_term(x)
return rv_simplify
return rv
def simp_hyp(expr):
return factor_terms(expand_mul(expr)).rewrite(sin)
def simp_hyp(expr):
return factor_terms(expand_mul(expr)).rewrite(sin)
