>>> array = ts.array([1.5, 2.5, 3.5, 4.5, 5.5], dtype=ts.float32)
>>> view = ts.cast(array, ts.uint32)
>>> view
TensorStore({
  'base': {
    'array': [1.5, 2.5, 3.5, 4.5, 5.5],
    'driver': 'array',
    'dtype': 'float32',
  },
  'context': {'data_copy_concurrency': {}},
  'driver': 'cast',
  'dtype': 'uint32',
  'transform': {'input_exclusive_max': [5], 'input_inclusive_min': [0]},
})
>>> await view.read()
array([1, 2, 3, 4, 5], dtype=uint32)