>>> store = await ts.open(
...     {
...         'driver': 'zarr',
...         'kvstore': {
...             'driver': 'memory',
...             'path': 'abc/',
...         }
...     },
...     create=True,
...     shape=[100, 200],
...     dtype=ts.uint32,
... )
>>> downsampled = ts.downsample(store,
...                             downsample_factors=[2, 4],
...                             method="mean")
>>> downsampled
TensorStore({
  'base': {
    'driver': 'zarr',
    'kvstore': {'driver': 'memory', 'path': 'abc/'},
    'metadata': {
      'chunks': [100, 200],
      'compressor': {
        'blocksize': 0,
        'clevel': 5,
        'cname': 'lz4',
        'id': 'blosc',
        'shuffle': -1,
      },
      'dimension_separator': '.',
      'dtype': '<u4',
      'fill_value': None,
      'filters': None,
      'order': 'C',
      'shape': [100, 200],
      'zarr_format': 2,
    },
    'transform': {
      'input_exclusive_max': [[100], [200]],
      'input_inclusive_min': [0, 0],
    },
  },
  'context': {
    'cache_pool': {},
    'data_copy_concurrency': {},
    'memory_key_value_store': {},
  },
  'downsample_factors': [2, 4],
  'downsample_method': 'mean',
  'driver': 'downsample',
  'dtype': 'uint32',
  'transform': {
    'input_exclusive_max': [[50], [50]],
    'input_inclusive_min': [0, 0],
  },
})
>>> downsampled[30:40, 20:25].base
TensorStore({
  'context': {
    'cache_pool': {},
    'data_copy_concurrency': {},
    'memory_key_value_store': {},
  },
  'driver': 'zarr',
  'dtype': 'uint32',
  'kvstore': {'driver': 'memory', 'path': 'abc/'},
  'metadata': {
    'chunks': [100, 200],
    'compressor': {
      'blocksize': 0,
      'clevel': 5,
      'cname': 'lz4',
      'id': 'blosc',
      'shuffle': -1,
    },
    'dimension_separator': '.',
    'dtype': '<u4',
    'fill_value': None,
    'filters': None,
    'order': 'C',
    'shape': [100, 200],
    'zarr_format': 2,
  },
  'transform': {
    'input_exclusive_max': [80, 100],
    'input_inclusive_min': [60, 80],
  },
})
>>> converted = ts.cast(store, ts.float32)
>>> converted.base
TensorStore({
  'context': {
    'cache_pool': {},
    'data_copy_concurrency': {},
    'memory_key_value_store': {},
  },
  'driver': 'zarr',
  'dtype': 'uint32',
  'kvstore': {'driver': 'memory', 'path': 'abc/'},
  'metadata': {
    'chunks': [100, 200],
    'compressor': {
      'blocksize': 0,
      'clevel': 5,
      'cname': 'lz4',
      'id': 'blosc',
      'shuffle': -1,
    },
    'dimension_separator': '.',
    'dtype': '<u4',
    'fill_value': None,
    'filters': None,
    'order': 'C',
    'shape': [100, 200],
    'zarr_format': 2,
  },
  'transform': {
    'input_exclusive_max': [[100], [200]],
    'input_inclusive_min': [0, 0],
  },
})