formatting update

regridding/_regrid/_regrid_from_weights.py

@@ -9,13 +9,13 @@
 
 
 def regrid_from_weights(
-        weights: np.ndarray,
-        shape_input: tuple[int, ...],
-        shape_output: tuple[int, ...],
-        values_input: np.ndarray,
-        values_output: None | np.ndarray = None,
-        axis_input: None | int | Sequence[int] = None,
-        axis_output: None | int | Sequence[int] = None,
+    weights: np.ndarray,
+    shape_input: tuple[int, ...],
+    shape_output: tuple[int, ...],
+    values_input: np.ndarray,
+    values_output: None | np.ndarray = None,
+    axis_input: None | int | Sequence[int] = None,
+    axis_output: None | int | Sequence[int] = None,
 ) -> np.ndarray:
     """
     Regrid an array of values using weights computed by
@@ -91,7 +91,6 @@ def regrid_from_weights(
 
     ndim_output = len(shape_output)
     axis_output = _util._normalize_axis(axis_output, ndim=ndim_output)
-    print(f'{axis_output=}')
 
     axis_input_numba = ~np.arange(len(axis_input))[::-1]
     axis_output_numba = ~np.arange(len(axis_output))[::-1]
@@ -112,9 +111,6 @@ def regrid_from_weights(
     values_input = np.ascontiguousarray(values_input)
     values_output = np.ascontiguousarray(values_output)
 
-    print(f'{values_input.shape=}')
-    print(f'{values_output.shape=}')
-
     _regrid_from_weights(
         weights=weights,
         values_input=values_input,
@@ -130,9 +126,9 @@ def regrid_from_weights(
 
 @numba.njit(parallel=True)
 def _regrid_from_weights(
-        weights: numba.typed.List,
-        values_input: np.ndarray,
-        values_output: np.ndarray,
+    weights: numba.typed.List,
+    values_input: np.ndarray,
+    values_output: np.ndarray,
 ) -> None:
 
     for d in numba.prange(len(weights)):