How to use the momepy.Orientation function in momepy

def test_Orientation(self):
        self.df_buildings["orient"] = mm.Orientation(self.df_buildings).series
        check = 41.05146788287027
        assert self.df_buildings["orient"][0] == pytest.approx(check)

        self.df_streets["orient"] = mm.Orientation(self.df_streets).series
        check = 40.7607
        assert self.df_streets["orient"][0] == pytest.approx(check)

def test_CellAlignment(self):
        self.df_buildings["orient"] = blgori = mm.Orientation(self.df_buildings).series
        self.df_tessellation["orient"] = tessori = mm.Orientation(
            self.df_tessellation
        ).series
        self.df_buildings["c_align"] = mm.CellAlignment(
            self.df_buildings, self.df_tessellation, "orient", "orient", "uID", "uID"
        ).series
        self.df_buildings["c_align_array"] = mm.CellAlignment(
            self.df_buildings, self.df_tessellation, blgori, tessori, "uID", "uID"
        ).series
        check = abs(
            self.df_buildings["orient"][0]
            - self.df_tessellation[
                self.df_tessellation["uID"] == self.df_buildings["uID"][0]
            ]["orient"].iloc[0]
        )
        assert self.df_buildings["c_align"][0] == pytest.approx(check)

def test_CellAlignment(self):
        self.df_buildings["orient"] = blgori = mm.Orientation(self.df_buildings).series
        self.df_tessellation["orient"] = tessori = mm.Orientation(
            self.df_tessellation
        ).series
        self.df_buildings["c_align"] = mm.CellAlignment(
            self.df_buildings, self.df_tessellation, "orient", "orient", "uID", "uID"
        ).series
        self.df_buildings["c_align_array"] = mm.CellAlignment(
            self.df_buildings, self.df_tessellation, blgori, tessori, "uID", "uID"
        ).series
        check = abs(
            self.df_buildings["orient"][0]
            - self.df_tessellation[
                self.df_tessellation["uID"] == self.df_buildings["uID"][0]
            ]["orient"].iloc[0]
        )
        assert self.df_buildings["c_align"][0] == pytest.approx(check)

def test_StreetAlignment(self):
        self.df_buildings["orient"] = orient = mm.Orientation(self.df_buildings).series
        self.df_buildings["street_alignment"] = mm.StreetAlignment(
            self.df_buildings, self.df_streets, "orient", network_id="nID"
        ).series
        self.df_buildings["street_alignment2"] = mm.StreetAlignment(
            self.df_buildings,
            self.df_streets,
            "orient",
            left_network_id="nID",
            right_network_id="nID",
        ).series
        self.df_buildings["street_a_arr"] = mm.StreetAlignment(
            self.df_buildings,
            self.df_streets,
            orient,
            left_network_id=self.df_buildings["nID"],
            right_network_id=self.df_streets["nID"],

def test_Orientation(self):
        self.df_buildings["orient"] = mm.Orientation(self.df_buildings).series
        check = 41.05146788287027
        assert self.df_buildings["orient"][0] == pytest.approx(check)

        self.df_streets["orient"] = mm.Orientation(self.df_streets).series
        check = 40.7607
        assert self.df_streets["orient"][0] == pytest.approx(check)

def setup(self):

        test_file_path = mm.datasets.get_path("bubenec")
        self.df_buildings = gpd.read_file(test_file_path, layer="buildings")
        self.df_streets = gpd.read_file(test_file_path, layer="streets")
        self.df_tessellation = gpd.read_file(test_file_path, layer="tessellation")
        self.df_buildings["height"] = np.linspace(10.0, 30.0, 144)
        self.df_buildings["volume"] = mm.Volume(self.df_buildings, "height").series
        self.df_streets["nID"] = mm.unique_id(self.df_streets)
        self.df_buildings["nID"] = mm.get_network_id(
            self.df_buildings, self.df_streets, "nID"
        )
        self.df_buildings["orient"] = mm.Orientation(self.df_buildings).series
        self.df_tessellation["orient"] = mm.Orientation(self.df_tessellation).series
        self.sw = Queen.from_dataframe(self.df_tessellation, ids="uID")
        self.swh = mm.sw_high(k=3, gdf=self.df_tessellation, ids="uID")
        self.swb = Queen.from_dataframe(self.df_buildings, ids="uID")

def setup(self):

        test_file_path = mm.datasets.get_path("bubenec")
        self.df_buildings = gpd.read_file(test_file_path, layer="buildings")
        self.df_streets = gpd.read_file(test_file_path, layer="streets")
        self.df_tessellation = gpd.read_file(test_file_path, layer="tessellation")
        self.df_buildings["height"] = np.linspace(10.0, 30.0, 144)
        self.df_buildings["volume"] = mm.Volume(self.df_buildings, "height").series
        self.df_streets["nID"] = mm.unique_id(self.df_streets)
        self.df_buildings["nID"] = mm.get_network_id(
            self.df_buildings, self.df_streets, "nID"
        )
        self.df_buildings["orient"] = mm.Orientation(self.df_buildings).series
        self.df_tessellation["orient"] = mm.Orientation(self.df_tessellation).series
        self.sw = Queen.from_dataframe(self.df_tessellation, ids="uID")
        self.swh = mm.sw_high(k=3, gdf=self.df_tessellation, ids="uID")
        self.swb = Queen.from_dataframe(self.df_buildings, ids="uID")

def time_Orientation(self):
        mm.Orientation(self.df_buildings)