def element(self, fcall, vectorized=True):
"""Create a `FunctionSet` element.
Parameters
----------
fcall : callable
The actual instruction for out-of-place evaluation.
It must return a `FunctionSet.range` element or a
`numpy.ndarray` of such (vectorized call).
vectorized : bool, optional
Whether ``fcall`` supports vectorized evaluation.
Returns
-------
element : `FunctionSetElement`
The new element, always supports vectorization
See Also
--------
odl.discr.grid.RectGrid.meshgrid : efficient grids for function
evaluation
"""
if not callable(fcall):
raise TypeError('`fcall` {!r} is not callable'.format(fcall))
elif fcall in self:
return fcall
else:
if not vectorized:
fcall = vectorize(fcall)
return self.element_type(self, fcall)
def element(self, fcall, vectorized=True):
"""Create a `FunctionSet` element.
Parameters
----------
fcall : callable
The actual instruction for out-of-place evaluation.
It must return a `FunctionSet.range` element or a
`numpy.ndarray` of such (vectorized call).
vectorized : bool, optional
Whether ``fcall`` supports vectorized evaluation.
Returns
-------
element : `FunctionSetElement`
The new element, always supports vectorization
See Also
--------
odl.discr.grid.RectGrid.meshgrid : efficient grids for function
evaluation
"""
if not callable(fcall):
raise TypeError('`fcall` {!r} is not callable'.format(fcall))
elif fcall in self:
return fcall
else:
if not vectorized:
fcall = vectorize(fcall)
return self.element_type(self, fcall)
def element(self, fcall=None, vectorized=True):
"""Create a `FunctionSpace` element.
Parameters
----------
fcall : callable, optional
The actual instruction for out-of-place evaluation.
It must return a `FunctionSet.range` element or a
`numpy.ndarray` of such (vectorized call).
If fcall is a `FunctionSetElement`, it is wrapped
as a new `FunctionSpaceElement`.
vectorized : bool, optional
Whether ``fcall`` supports vectorized evaluation.
Returns
-------
element : `FunctionSpaceElement`
The new element, always supports vectorization
Notes
-----
If you specify ``vectorized=False``, the function is decorated
with a vectorizer, which makes two elements created this way
from the same function being regarded as *not equal*.
"""
if fcall is None:
return self.zero()
elif fcall in self:
return fcall
else:
if not callable(fcall):
raise TypeError('`fcall` {!r} is not callable'.format(fcall))
if not vectorized:
if self.field == RealNumbers():
dtype = 'float64'
else:
dtype = 'complex128'
fcall = vectorize(otypes=[dtype])(fcall)
return self.element_type(self, fcall)
def element(self, fcall=None, vectorized=True):
"""Create a `FunctionSpace` element.
Parameters
----------
fcall : callable, optional
The actual instruction for out-of-place evaluation.
It must return a `FunctionSet.range` element or a
`numpy.ndarray` of such (vectorized call).
If fcall is a `FunctionSetElement`, it is wrapped
as a new `FunctionSpaceElement`.
vectorized : bool, optional
Whether ``fcall`` supports vectorized evaluation.
Returns
-------
element : `FunctionSpaceElement`
The new element, always supports vectorization
Notes
-----
If you specify ``vectorized=False``, the function is decorated
with a vectorizer, which makes two elements created this way
from the same function being regarded as *not equal*.
"""
if fcall is None:
return self.zero()
elif fcall in self:
return fcall
else:
if not callable(fcall):
raise TypeError('`fcall` {!r} is not callable'.format(fcall))
if not vectorized:
if self.field == RealNumbers():
dtype = 'float64'
else:
dtype = 'complex128'
fcall = vectorize(otypes=[dtype])(fcall)
return self.element_type(self, fcall)