fix comments

imops/interp2d.py

@@ -81,7 +81,7 @@ def __call__(self, points: np.ndarray, values: np.ndarray = None, fill_value: fl
         points: np.ndarray
             2-D array of data point coordinates to interpolate at
         values: np.ndarray
-            1-D array of fp32/fp64 values to use at initial points. If passed, existing values will NOT be rewritten
+            1-D array of fp32/fp64 values to use at initial points
         fill_value: float
             value to fill past edges
 
@@ -90,16 +90,17 @@ def __call__(self, points: np.ndarray, values: np.ndarray = None, fill_value: fl
         new_values: np.ndarray
             interpolated values at given points
         """
-        x_values = values if values is not None else self.values
+        if values is None:
+            values = self.values
 
-        if x_values is None:
+        if values is None:
             raise ValueError('`values` argument was never passed neither in __init__ or __call__ methods')
 
-        if not isinstance(x_values, np.ndarray):
-            raise TypeError(f'Wrong type of `values` argument, expected np.ndarray. Got {type(x_values)}')
+        if not isinstance(values, np.ndarray):
+            raise TypeError(f'Wrong type of `values` argument, expected np.ndarray. Got {type(values)}')
 
-        if x_values.ndim > 1:
-            raise ValueError(f'Wrong shape of `values` argument, expected ndim=1. Got shape {x_values.shape}')
+        if values.ndim > 1:
+            raise ValueError(f'Wrong shape of `values` argument, expected ndim=1. Got shape {values.shape}')
 
         _, neighbors = self.kdtree.query(
             points, 1, **{'workers': self.num_threads} if python_version()[:3] != '3.6' else {}
@@ -108,4 +109,4 @@ def __call__(self, points: np.ndarray, values: np.ndarray = None, fill_value: fl
         if not isinstance(points, np.ndarray):
             raise TypeError(f'Wrong type of `points` argument, expected np.ndarray. Got {type(points)}')
 
-        return super().__call__(points, x_values, neighbors, fill_value)
+        return super().__call__(points, values, neighbors, fill_value)