noise_elements

odl.core.util.testutils.noise_elements(space, n=1)

Create a list of n noise arrays and elements in space.

The arrays contain white noise with standard deviation 1 in the case of floating point dtypes and uniformly spaced values between -10 and 10 in the case of integer dtypes.

The returned elements have the same values as the arrays.

For product spaces the method is called recursively for all sub-spaces.

Notes

This method is intended for internal testing purposes. For more explicit example elements see odl.core.phantoms and LinearSpaceElement.examples.

Parameters

spaceLinearSpace

Space in which to create an element. The odl.core.set.space.LinearSpace.element method of the space needs to accept input of numpy.ndarray type.

nint, optional

Number of elements to create.

Returns

arraysnumpy.ndarray or tuple of numpy.ndarray

A single array if n == 1, otherwise a tuple of arrays.

elementsspace element or tuple of space elements

A single element if n == 1, otherwise a tuple of elements.

Examples

Create single noise element:

>>> space = odl.rn(3)
>>> arr, vector = noise_elements(space)

Create multiple noise elements:

>>> [arr1, arr2], [vector1, vector2] = noise_elements(space, n=2)

See Also

noise_array noise_element