clean some functions from outcommented lines

mlair/helpers/geofunctions.py

@@ -37,8 +37,7 @@ def haversine_dist(lat1: xr.DataArray, lon1: xr.DataArray,
     Calculate the great circle distance between two points
     on the Earth (specified in decimal degrees or in radians)
 
-    All (lat, lon) coordinates must have numeric dtypes and be of equal length.
-    An exception holds if one pair is given as a scalar, in this case broadcasting is possible
+    Reference: ToBeAdded
 
     :param lat1: Latitude(-s) of first location
     :param lon1: Longitude(-s) of first location
@@ -56,9 +55,6 @@ def haversine_dist(lat1: xr.DataArray, lon1: xr.DataArray,
     lon1 = convert2xrda(lon1, use_1d_default=True)
     lat2 = convert2xrda(lat2, use_1d_default=True)
     lon2 = convert2xrda(lon2, use_1d_default=True)
-    # if isinstance(lat2, np.ndarray) and isinstance(lon2, np.ndarray):
-    #     lat2 = convert_1d_np2xr(lat2)
-    #     lon2 = convert_1d_np2xr(lon2)
 
     assert lat1.shape == lon1.shape
     assert lat2.shape == lon2.shape
@@ -66,6 +62,8 @@ def haversine_dist(lat1: xr.DataArray, lon1: xr.DataArray,
     assert isinstance(lon1, xr.DataArray)
     assert isinstance(lat2, xr.DataArray)
     assert isinstance(lon2, xr.DataArray)
+
+    # broadcast lats and lons to calculate distances in a vectorized manner.
     lat1, lat2 = xr.broadcast(lat1, lat2)
     lon1, lon2 = xr.broadcast(lon1, lon2)
 

mlair/helpers/helpers.py

@@ -171,7 +171,6 @@ def convert2xrda(arr: Union[xr.DataArray, xr.Dataset, np.ndarray, int, float],
                     raise TypeError(f"`arr' must be arry-like, int or float. But is of type {type(arr)}")
             kwargs.update({'dims': dims, 'coords': coords})
 
-        # return xr.DataArray(arr, dims=dims, coords=coords, **kwargs)
         return xr.DataArray(arr, **kwargs)