def step_simpyfunc():
args = (np.copy(x),) if x is not None else ()
y = fn(t.item(), *args) if t is not None else fn(*args)
if output is not None:
if y is None: # required since Numpy turns None into NaN
raise SimulationError(
"Function %r returned None" % function_name(self.fn))
try:
output[...] = y
except ValueError:
raise SimulationError("Function %r returned invalid value "
"%r" % (function_name(self.fn), y))
def _label(self):
if self.label is not None:
return self.label
return "from %s to %s%s" % (self.pre, self.post, " computing '%s'" %
function_name(self.function)
if self.function is not None else "")
def _str(self):
if self.label is not None:
return self.label
desc = "" if self.function is None else " computing '%s'" % (
function_name(self.function))
return "from %s to %s%s" % (self.pre, self.post, desc)
def step_simpyfunc():
args = (np.copy(x), ) if x is not None else ()
y = fn(t.item(), *args) if t is not None else fn(*args)
if output is not None:
try:
# required since Numpy turns None into NaN
if y is None or not np.all(np.isfinite(y)):
raise SimulationError(
"Function %r returned non-finite value" %
function_name(self.fn))
output[...] = y
except (TypeError, ValueError):
raise SimulationError("Function %r returned a value "
"%r of invalid type %r" %
(function_name(self.fn), y, type(y)))
def _descstr(self):
return '%s -> %s, fn=%r' % (
self.x, self.output, function_name(self.fn))