How to use the mdxpy.MdxBuilder.from_cube function in mdxpy

def test_execute_mdx_with_top_skip(self):
        mdx = MdxBuilder.from_cube(CUBE_NAME) \
            .add_hierarchy_set_to_row_axis(MdxHierarchySet.tm1_subset_all(DIMENSION_NAMES[0]).head(2)) \
            .add_hierarchy_set_to_column_axis(MdxHierarchySet.tm1_subset_all(DIMENSION_NAMES[1]).head(2)) \
            .where(Member.of(DIMENSION_NAMES[2], "Element1")) \
            .to_mdx()

        cells = self.tm1.cubes.cells.execute_mdx(mdx=mdx, top=1, skip=2)
        self.assertEqual(len(cells), 1)

        elements = element_names_from_element_unique_names(list(cells.keys())[0])
        self.assertEqual(elements, ("Element 2", "Element 1", "Element 1"))

('e1', 'e1'): 1,
            ('e1', 'e2'): 2,
            ('e1', 'e3'): 3,
        }
        self.tm1.cubes.cells.write_values(CUBE_RPS1_NAME, cells)

        self.tm1.cubes.cells.relative_proportional_spread(
            value=12,
            cube=CUBE_RPS1_NAME,
            unique_element_names=("[" + DIMENSION_RPS1_NAME + "].[" + DIMENSION_RPS1_NAME + "].[e2]",
                                  "[" + DIMENSION_RPS2_NAME + "].[" + DIMENSION_RPS2_NAME + "].[c1]"),
            reference_cube=CUBE_RPS1_NAME,
            reference_unique_element_names=("[" + DIMENSION_RPS1_NAME + "].[" + DIMENSION_RPS1_NAME + "].[c1]",
                                            "[" + DIMENSION_RPS2_NAME + "].[" + DIMENSION_RPS2_NAME + "].[c1]"))

        mdx = MdxBuilder.from_cube(CUBE_RPS1_NAME) \
            .add_hierarchy_set_to_column_axis(MdxHierarchySet.member(Member.of(DIMENSION_RPS1_NAME, "e2"))) \
            .add_hierarchy_set_to_row_axis(MdxHierarchySet.members([
            Member.of(DIMENSION_RPS2_NAME, "e1"),
            Member.of(DIMENSION_RPS2_NAME, "e2"),
            Member.of(DIMENSION_RPS2_NAME, "e3")])).to_mdx()

        values = self.tm1.cubes.cells.execute_mdx_values(mdx)
        self.assertEqual(next(values), 2)
        self.assertEqual(next(values), 4)
        self.assertEqual(next(values), 6)

def test_execute_view_rows_and_values_string_set(self):
        mdx = MdxBuilder.from_cube(STRING_CUBE_NAME) \
            .add_hierarchy_set_to_row_axis(MdxHierarchySet.tm1_subset_all(STRING_DIMENSION_NAMES[0])) \
            .add_hierarchy_set_to_column_axis(MdxHierarchySet.tm1_subset_all(STRING_DIMENSION_NAMES[2])) \
            .add_hierarchy_set_to_column_axis(MdxHierarchySet.tm1_subset_all(STRING_DIMENSION_NAMES[1])) \
            .to_mdx()

        view_name = "some view"
        view = MDXView(cube_name=STRING_CUBE_NAME, view_name=view_name, MDX=mdx)
        self.tm1.cubes.views.create(view, private=False)

        elements_and_string_values = self.tm1.cubes.cells.execute_view_rows_and_values_string_set(
            cube_name=STRING_CUBE_NAME,
            view_name=view_name,
            private=False)

        self.assertEqual(
            set(elements_and_string_values),

def test_clear_with_mdx_happy_case(self):
        cells = {("Element17", "Element21", "Element15"): 1}
        self.tm1.cells.write_values(CUBE_NAME, cells)

        mdx = MdxBuilder.from_cube(CUBE_NAME) \
            .add_hierarchy_set_to_row_axis(MdxHierarchySet.member(Member.of(DIMENSION_NAMES[0], "Element17"))) \
            .add_hierarchy_set_to_column_axis(MdxHierarchySet.member(Member.of(DIMENSION_NAMES[1], "Element21"))) \
            .where(Member.of(DIMENSION_NAMES[2], "Element15")) \
            .to_mdx()

        self.tm1.cells.clear_with_mdx(cube=CUBE_NAME, mdx=mdx)

        value = next(self.tm1.cells.execute_mdx_values(mdx=mdx))
        self.assertEqual(value, None)

def test_execute_mdx_elements_value_dict(self):
        mdx = MdxBuilder.from_cube(CUBE_NAME) \
            .rows_non_empty() \
            .add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[0], DIMENSION_NAMES[0])) \
            .add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[1], DIMENSION_NAMES[1])) \
            .add_hierarchy_set_to_column_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[2], DIMENSION_NAMES[2])) \
            .to_mdx()

        values = self.tm1.cubes.cells.execute_mdx_elements_value_dict(mdx)

        # check type
        self.assertIsInstance(values, dict)

        # check coordinates
        coordinates = {key for key, value in values.items()}
        self.assertEqual(len(coordinates), len(self.target_coordinates))

        # check values

def test_execute_mdx_dataframe(self):
        mdx = MdxBuilder.from_cube(CUBE_NAME) \
            .rows_non_empty() \
            .add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[0], DIMENSION_NAMES[0])) \
            .add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[1], DIMENSION_NAMES[1])) \
            .add_hierarchy_set_to_column_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[2], DIMENSION_NAMES[2])) \
            .to_mdx()

        df = self.tm1.cubes.cells.execute_mdx_dataframe(mdx)

        # check type
        self.assertIsInstance(df, pd.DataFrame)

        # check coordinates in df are equal to target coordinates
        coordinates = {
            tuple(row)
            for row
            in df[[*DIMENSION_NAMES]].values}

def test_execute_mdx_raw_skip_contexts(self):
        mdx = MdxBuilder.from_cube(CUBE_NAME) \
            .add_hierarchy_set_to_row_axis(MdxHierarchySet.member(Member.of(DIMENSION_NAMES[0], "Element1"))) \
            .add_hierarchy_set_to_column_axis(MdxHierarchySet.member(Member.of(DIMENSION_NAMES[1], "Element1"))) \
            .add_member_to_where("[" + DIMENSION_NAMES[2] + "].[Element1]").to_mdx()

        raw_response = self.tm1.cubes.cells.execute_mdx_raw(
            mdx,
            skip_contexts=True,
            member_properties=["UniqueName"])

        self.assertEqual(len(raw_response["Axes"]), 2)
        for axis in raw_response["Axes"]:
            dimension_on_axis = Utils.dimension_name_from_element_unique_name(
                axis["Tuples"][0]["Members"][0]["UniqueName"])
            self.assertNotEqual(dimension_on_axis, DIMENSION_NAMES[2])

def test_execute_mdx_rows_and_values_member_names(self):
        mdx = MdxBuilder.from_cube(CUBE_NAME) \
            .add_hierarchy_set_to_row_axis(MdxHierarchySet.member(Member.of(DIMENSION_NAMES[0], "Element1"))) \
            .add_hierarchy_set_to_column_axis(MdxHierarchySet.member(Member.of(DIMENSION_NAMES[1], "Element1"))) \
            .add_member_to_where("[" + DIMENSION_NAMES[2] + "].[Element1]").to_mdx()

        data = self.tm1.cubes.cells.execute_mdx_rows_and_values(mdx, element_unique_names=False)

        self.assertEqual(len(data), 1)
        for row, cells in data.items():
            member_name = row[0]
            self.assertEqual(member_name, "Element 1")

def test_execute_mdx_values(self):
        self.tm1.cells.write_values(CUBE_NAME, self.cellset)

        mdx = MdxBuilder.from_cube(CUBE_NAME) \
            .columns_non_empty() \
            .add_hierarchy_set_to_column_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[0], DIMENSION_NAMES[0])) \
            .add_hierarchy_set_to_column_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[1], DIMENSION_NAMES[1])) \
            .add_hierarchy_set_to_column_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[2], DIMENSION_NAMES[2])) \
            .to_mdx()

        cell_values = self.tm1.cubes.cells.execute_mdx_values(mdx)
        self.assertIsInstance(
            cell_values,
            types.GeneratorType)
        # Check if total value is the same. Handle None.
        self.assertEqual(
            self.total_value,
            sum([v for v in cell_values if v]))
        # Define MDX Query with calculated MEMBER
        mdx = "WITH MEMBER[{}].[{}] AS 2 " \