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import Path @@ -535,9 +536,7 @@ def __init__(self, LandFireLatLongBox: LandFireLatLongBox): self.image = self._make_contours() def _get_data(self): - """ - Functionality to get the raw elevation data for the SimHarness - """ + """Functionality to get the raw elevation data for the SimHarness""" # Convert from meters to feet for use with simulator data_array = 3.28084 * self.LandFireLatLongBox.topography @@ -772,9 +771,8 @@ def _load_texture(self) -> np.ndarray: class HistoricalLayer: def __init__(self, year: int, state: str, fire: str, path: str) -> None: - """ - Functionality to load the apporpriate/available historical data - given a fire name, the state, and year of the fire. + """Functionality to load the apporpriate/available historical data + given a fire name, the state, and year of the fire. NOTE: Currently, this layer supports adding ALL mitigations to the firemap at initialization @@ -791,10 +789,6 @@ def __init__(self, year: int, state: str, fire: str, path: str) -> None: state: the state of teh historical fire fire: the individual fire given the year and state path: the path to the BurnMD dataset - - Returns: - - """ self.year = year self.state = state @@ -818,9 +812,7 @@ def __init__(self, year: int, state: str, fire: str, path: str) -> None: ) def _get_historical_data(self) -> None: - """ - Collect geopandas dataframes availbale for the specified fire - """ + """Collect geopandas dataframes availbale for the specified fire""" # get the path data_path = os.path.join(self.path, self.fire_path) try: @@ -843,14 +835,10 @@ def _get_historical_data(self) -> None: self.lines_df = lines_df def _get_bounds_of_screen(self): - """ - Collect the extent of the historical data to set screen + """Collect the extent of the historical data to set screen - Arguments - None - - Return - ((), ()) + Returns: + ((maxy, maxx), (miny, minx)) """ if len(self.lines_df) > 0: # Calculate the bounds of the operational data using mitigations @@ -884,8 +872,10 @@ def _get_bounds_of_screen(self): return ((maxy, maxx), (miny, minx)) def _get_fire_init_pos(self): - """ - Ge the embedded fire initial position (approximation) + """Get the embedded fire initial position (approximation) + + Returns: + (latitude, longitude) """ fire_init_pos = self.polygons_df.iloc[0]["FireInitPo"] latitutde = float(fire_init_pos.split(", ")[0]) @@ -894,11 +884,11 @@ def _get_fire_init_pos(self): return latitutde, longitude def _make_mitigations(self) -> np.ndarray: - """ - Method to add mitigation locations to the firemap at the start of the simulation. + """Method to add mitigation locations to the firemap at the start of the + simulation. - Return an array of the mitigation type as an enum that gets passed into - the sprites + Return an array of the mitigation type as an enum that gets passed into the + sprites. Arguments: screen_size (h, w): Numpy instantiates array as (column, row) @@ -906,11 +896,12 @@ def _make_mitigations(self) -> np.ndarray: NOTE: This will not use the time-series aspect of the mitigations - TODO: Re-write to check if 'Completed Hand' or 'Completed Dozer' - lines even exist - TODO: This will overwrite dozer/hand lines - dozer lines are "stronger" - so we may want to add logic to keep dozer lines + TODO: Re-write to check if 'Completed Hand' or 'Completed Dozer' lines even exist + TODO: This will overwrite dozer/hand lines - dozer lines are "stronger" so we + may want to add logic to keep dozer lines + Returns: + An array of mitigations """ mitigation_array = np.zeros((self.screen_size)).astype(int) @@ -964,19 +955,16 @@ def _get_geometry(df): return mitigation_array def _calc_time_elapsed(self, start_time: str, end_time: str) -> str: - """ - Calculate the time between each timestamp with format: - YYYY/MM/DD HRS:MIN:SEC.0000 + """Calculate the time between each timestamp with format: + YYYY/MM/DD HRS:MIN:SEC.0000 Arguments: start_time: beginning of fire as described in BurnMD ddataset end_time: end of fire as described by BurnMD dataset Returns - a string of `<>h <>m <>s' + A string of `<>h <>m <>s` """ - import datetime - datetimeFormat = "%Y/%m/%d %H:%M:%S.%f" time_dif = datetime.datetime.strptime( @@ -996,6 +984,8 @@ def _make_perimeters_image(self) -> np.ndarray: """ Create an array of the historical perimeter data + Returns: + an array of the historical perimeters """ perimeter_array = np.zeros((self.screen_size)).astype(int) geo_perimeters = self.polygons_df.loc[ @@ -1033,16 +1023,12 @@ def _get_geometry(df): return out_image def _get_perimeter_time_deltas(self): - """ - Use `_calc_time_elapsed` functionality to get a list of time elapsed - between perimeters. This can be used in `simulation.run()`to - incremently add time to the simulation. - - Arguments: + """Use `_calc_time_elapsed` functionality to get a list of time elapsed between + perimeters. This can be used in `simulation.run()`to incremently add time to the + simulation. Returns: List of time deltas between perimeters - """ geo_perimeters = self.polygons_df.loc[ @@ -1071,15 +1057,14 @@ def _get_perimeter_time_deltas(self): def get_closest_indice( lat_lon_data: np.ndarray, point: Tuple[float, float] ) -> Tuple[int, int]: - """ - Utility function to help find the closest index for the geospatial point. + """Utility function to help find the closest index for the geospatial point. Arguments: lat_lon_data: array of the (h, w, (lat, lon)) data of the screen_size - of the simulation + of the simulation point: a tuple pair of lat/lon point. [longitude, latitude] - Return: + Returns: x, y: tuple pair of index in lat/lon array that corresponds to the simulation array index """ diff --git a/tests/historical_test.py b/tests/historical_test.py new file mode 100644 index 0000000..8583b5d --- /dev/null +++ b/tests/historical_test.py @@ -0,0 +1,8 @@ +from simfire.sim.simulation import FireSimulation +from simfire.utils.config import Config +from simfire.utils.layers import HistoricalLayer + +config = Config("configs/historical_config.yml") +sim = FireSimulation(config) + +hist_layer = HistoricalLayer(2018, "Arizona", "Rattlesnake", "../burnmd/")