How to use the momepy.datasets function in momepy

def setup_method(self):

        test_file_path = mm.datasets.get_path("bubenec")
        self.df_buildings = gpd.read_file(test_file_path, layer="buildings")
        self.df_tessellation = gpd.read_file(test_file_path, layer="tessellation")
        self.df_streets = gpd.read_file(test_file_path, layer="streets")
        self.df_streets["nID"] = range(len(self.df_streets))
        self.limit = mm.buffered_limit(self.df_buildings, 50)

def setup_method(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

def setup_method(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_tessellation["area"] = mm.Area(self.df_tessellation).series
        self.sw = sw_high(k=3, gdf=self.df_tessellation, ids="uID")
        self.sw.neighbors[100] = []
        self.sw_drop = sw_high(k=3, gdf=self.df_tessellation[2:], ids="uID")

def setup_method(self):

        test_file_path = mm.datasets.get_path("bubenec")
        self.df_streets = gpd.read_file(test_file_path, layer="streets")
        self.network = mm.gdf_to_nx(self.df_streets)
        self.network = mm.node_degree(self.network)
        self.dual = mm.gdf_to_nx(self.df_streets, approach="dual")

def setup_method(self):

        test_file_path = mm.datasets.get_path("bubenec")
        self.df_buildings = gpd.read_file(test_file_path, layer="buildings")
        self.df_tessellation = gpd.read_file(test_file_path, layer="tessellation")
        self.df_streets = gpd.read_file(test_file_path, layer="streets")
        self.df_buildings["height"] = np.linspace(10.0, 30.0, 144)

def setup_method(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"
        )

def setup_method(self):

        test_file_path = mm.datasets.get_path("bubenec")
        self.df_buildings = gpd.read_file(test_file_path, layer="buildings")
        self.df_tessellation = gpd.read_file(test_file_path, layer="tessellation")
        self.df_tessellation["area"] = mm.Area(self.df_tessellation).series

def test_dataset_missing(self):
        with pytest.raises(ValueError):
            mm.datasets.get_path("sffgkt")

def setup_method(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)

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")