@@ -56,12 +56,12 @@ def _select_forcing_variables(forcing_dict: Dict, forcing_var: str, alma_var: st
5656 return data_array
5757
5858
59- def _resize_data_array (data : xr .DataArray , time_steps : str )-> xr .DataArray :
60- """Resize data based on time_steps.
59+ def _shorten_data_array (data : xr .DataArray , time_steps : str )-> xr .DataArray :
60+ """Shorten data based on time_steps.
6161
6262 Args:
63- data(xr.DataArray): data to be resized .
64- time_steps(str): number of time steps to resize .
63+ data(xr.DataArray): data to be shortend .
64+ time_steps(str): number of time steps to shorten .
6565
6666 Returns:
6767 xr.DataArray: subset of data with the lenght of time equal to time_steps.
@@ -286,7 +286,7 @@ def to_netcdf(config: Dict, cf_filename: str) -> str:
286286 )
287287
288288 # get time info
289- time = _resize_data_array (forcing_dict ["time" ], time_steps )
289+ time = _shorten_data_array (forcing_dict ["time" ], time_steps )
290290
291291 # read convention file
292292 conventions = pd .read_csv (cf_filename )
@@ -300,7 +300,7 @@ def to_netcdf(config: Dict, cf_filename: str) -> str:
300300 if alma_name in var_names :
301301 # select data
302302 data_array = _select_forcing_variables (forcing_dict , var_names [alma_name ], alma_name )
303- data_array = _resize_data_array (data_array , time_steps )
303+ data_array = _shorten_data_array (data_array , time_steps )
304304
305305 # create data array
306306 elif alma_name in {"SoilTemp" , "SoilMoist" }:
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