def apply_iter(self, expr, i, imin, imax, di, evaluation):
'%(name)s[expr_, {i_Symbol, imin_, imax_, di_}]'
if isinstance(self, SympyFunction) and di.get_int_value() == 1:
whole_expr = Expression(self.get_name(), expr,
Expression('List', i, imin, imax))
sympy_expr = whole_expr.to_sympy()
# apply Together to produce results similar to Mathematica
result = sympy.together(sympy_expr)
result = from_sympy(result)
result = cancel(result)
if not result.same(whole_expr):
return result
index = imin.evaluate(evaluation)
imax = imax.evaluate(evaluation)
di = di.evaluate(evaluation)
result = []
while True:
cont = Expression('LessEqual', index, imax).evaluate(evaluation)
if cont == Symbol('False'):
break
if cont != Symbol('True'):
if self.throw_iterb:
evaluation.message(self.get_name(), 'iterb')
return
evaluation.check_stopped()
try:
item = dynamic_scoping(expr.evaluate, {i.name: index},
evaluation)
result.append(item)
except ContinueInterrupt:
if self.allow_loopcontrol:
pass
else:
raise
except BreakInterrupt:
if self.allow_loopcontrol:
break
else:
raise
index = Expression('Plus', index, di).evaluate(evaluation)
return self.get_result(result)
def apply_iter(self, expr, i, imin, imax, di, evaluation):
'%(name)s[expr_, {i_Symbol, imin_, imax_, di_}]'
if isinstance(self, SympyFunction) and di.get_int_value() == 1:
whole_expr = Expression(self.get_name(), expr, Expression('List', i, imin, imax))
sympy_expr = whole_expr.to_sympy()
# apply Together to produce results similar to Mathematica
result = sympy.together(sympy_expr)
result = from_sympy(result)
result = cancel(result)
if not result.same(whole_expr):
return result
index = imin.evaluate(evaluation)
imax = imax.evaluate(evaluation)
di = di.evaluate(evaluation)
result = []
while True:
cont = Expression('LessEqual', index, imax).evaluate(evaluation)
if cont == Symbol('False'):
break
if cont != Symbol('True'):
if self.throw_iterb:
evaluation.message(self.get_name(), 'iterb')
return
evaluation.check_stopped()
try:
item = dynamic_scoping(expr.evaluate, {i.name: index}, evaluation)
result.append(item)
except ContinueInterrupt:
if self.allow_loopcontrol:
pass
else:
raise
except BreakInterrupt:
if self.allow_loopcontrol:
break
else:
raise
index = Expression('Plus', index, di).evaluate(evaluation)
return self.get_result(result)
def apply_iter(self, expr, i, imin, imax, di, evaluation):
'%(name)s[expr_, {i_Symbol, imin_, imax_, di_}]'
if di.get_int_value() == 1 and isinstance(self, SympyFunction):
whole_expr = Expression(self.get_name(), expr,
Expression('List', i, imin, imax))
sympy_expr = whole_expr.to_sympy()
# apply Together to produce results similar to Mathematica
result = sympy.together(sympy_expr)
result = from_sympy(result)
result = cancel(result)
if not result.same(whole_expr):
return result
index = imin.evaluate(evaluation).get_real_value()
imax = imax.evaluate(evaluation).get_real_value()
di = di.evaluate(evaluation).get_real_value()
if index is None or imax is None or di is None:
if self.throw_iterb:
evaluation.message(self.get_name(), 'iterb')
return
result = []
while index <= imax:
evaluation.check_stopped()
try:
item = dynamic_scoping(expr.evaluate,
{i.name: Number.from_mp(index)},
evaluation)
result.append(item)
except ContinueInterrupt:
if self.allow_loopcontrol:
pass
else:
raise
except BreakInterrupt:
if self.allow_loopcontrol:
break
else:
raise
index = index + di
return self.get_result(result)
def apply_iter(self, expr, i, imin, imax, di, evaluation):
'%(name)s[expr_, {i_Symbol, imin_, imax_, di_}]'
if di.get_int_value() == 1 and isinstance(self, SageFunction):
whole_expr = Expression(self.get_name(), expr, Expression('List', i, imin, imax))
sympy_expr = whole_expr.to_sympy()
# apply Together to produce results similar to Mathematica
result = sympy.together(sympy_expr)
result = from_sympy(result)
result = cancel(result)
if not result.same(whole_expr):
return result
index = imin.evaluate(evaluation).get_real_value()
imax = imax.evaluate(evaluation).get_real_value()
di = di.evaluate(evaluation).get_real_value()
if index is None or imax is None or di is None:
if self.throw_iterb:
evaluation.message(self.get_name(), 'iterb')
return
result = []
while index <= imax:
evaluation.check_stopped()
try:
item = dynamic_scoping(expr.evaluate, {i.name: Number.from_mp(index)}, evaluation)
result.append(item)
except ContinueInterrupt:
if self.allow_loopcontrol:
pass
else:
raise
except BreakInterrupt:
if self.allow_loopcontrol:
break
else:
raise
index = add(index, di)
return self.get_result(result)
