def METHOD_NAME():
    tensor_meta = create_tensor_meta()
    common_args["tensor_meta"] = tensor_meta
    dtype = tensor_meta.dtype
    data_in = [np.random.rand(125, 125).astype(dtype) for _ in range(10)]
    while data_in:
        chunk = UncompressedChunk(**common_args)
        num_samples = int(chunk.extend_if_has_space(data_in))
        data_out = [chunk.read_sample(i) for i in range(num_samples)]
        np.testing.assert_array_equal(data_out, data_in[:num_samples])
        data_in = data_in[num_samples:]