|View source on GitHub|
Deterministically generates num_point random points within bounds.
tfl.test_utils.sample_uniformly( num_points, lower_bounds, upper_bounds )
Points will be such that: lower_bounds[i] <= p[i] <= upper_bounds[i]
Number of dimensions is defined by lengths of lower_bounds list.
||number of points to generate.|
||list or tuple of lower bounds.|
||list or tuple of upper bounds.|
|List of generated points.|