How to use the tiledb.ArraySchema function in tiledb

def create_array():
    # The array will be 4x4 with dimensions "rows" and "cols", with domain [1,4] and space tiles 2x2.
    dom = tiledb.Domain(tiledb.Dim(name="rows", domain=(1, 4), tile=2, dtype=np.int32),
                        tiledb.Dim(name="cols", domain=(1, 4), tile=2, dtype=np.int32))

    # The array will be dense with a single attribute "a" so each (i,j) cell can store an integer.
    schema = tiledb.ArraySchema(domain=dom, sparse=False,
                                attrs=[tiledb.Attr(name="a", dtype=np.int32)])

    # Create the (empty) array on disk.
    tiledb.DenseArray.create(array_name, schema)

def create_array():
    # The array will be 4x4 with dimensions "rows" and "cols", with domain [1,4].
    dom = tiledb.Domain(tiledb.Dim(name="rows", domain=(1, 4), tile=2, dtype=np.int32),
                        tiledb.Dim(name="cols", domain=(1, 4), tile=2, dtype=np.int32))

    # The array will be dense with a single attribute "a" so each (i,j) cell can store an integer.
    schema = tiledb.ArraySchema(domain=dom, sparse=False,
                                attrs=[tiledb.Attr(name="a", dtype=np.int32)])

    # Create the (empty) array on disk.
    tiledb.DenseArray.create(array_name, schema)

def create_array():
    # The array will be 4x4 with dimensions "rows" and "cols", with domain [1,4].
    dom = tiledb.Domain(tiledb.Dim(name="rows", domain=(1, 4), tile=2, dtype=np.int32),
                        tiledb.Dim(name="cols", domain=(1, 4), tile=2, dtype=np.int32))

    # The array will be sparse with a single attribute "a" so each (i,j) cell can store an integer.
    schema = tiledb.ArraySchema(domain=dom, sparse=True,
                                attrs=[tiledb.Attr(name="a", dtype=np.int32)])

    # Create the (empty) array on disk.
    tiledb.SparseArray.create(array_name, schema)

def create_array():
    # The array will be 4x4 with dimensions "rows" and "cols", with domain [1,4].
    dom = tiledb.Domain(tiledb.Dim(name="rows", domain=(1, 4), tile=4, dtype=np.int32),
                        tiledb.Dim(name="cols", domain=(1, 4), tile=4, dtype=np.int32))

    # The array will be sparse with a single attribute "a" so each (i,j) cell can store an integer.
    schema = tiledb.ArraySchema(domain=dom, sparse=True,
                                attrs=[tiledb.Attr(name="a", dtype=np.int32)])

    # Create the (empty) array on disk.
    tiledb.SparseArray.create(array_name, schema)

def create_array():

    # The array will be 4x4 with dimensions "rows" and "cols", with domain [1,4].
    dom = tiledb.Domain(ctx, 
            tiledb.Dim(ctx, name="rows", domain=(0, (TEST_ARRAY.shape[0] - 1)), 
                       tile=10000, dtype=np.int32))

    # The array will be dense with a single attribute "a" so each (i,j) cell can store an integer.
    schema = tiledb.ArraySchema(ctx, domain=dom, sparse=False,
                                attrs=[tiledb.Attr(ctx, name="a", dtype=np.float64)])

    # Create the (empty) array on disk.
    tiledb.DenseArray.create(tiledb_array_name, schema)

def create_array():
    # The array will be 4x4 with dimensions "rows" and "cols", with domain [1,4].
    dom = tiledb.Domain(tiledb.Dim(name="rows", domain=(1, 4), tile=2, dtype=np.int32),
                        tiledb.Dim(name="cols", domain=(1, 4), tile=2, dtype=np.int32))

    # The array will be dense with a single attribute "a" so each (i,j) cell can store an integer.
    schema = tiledb.ArraySchema(domain=dom, sparse=False,
                                attrs=[tiledb.Attr(name="a", dtype=np.int32)])

    # Create the (empty) array on disk.
    tiledb.DenseArray.create(array_name, schema)