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)