fix something

gwcs/tests/test_wcs.py

@@ -1161,10 +1161,10 @@ def test_in_image():
                    None)])
     w2.bounding_box = [(1, 100), (2, 20)]
 
-    assert np.isscalar(w2.in_image(2, 6))
+    assert np.isscalar(w2.in_image(2, 6))#[0])
     assert not np.isscalar(w2.in_image([2], [6]))
-    assert w2.in_image(4, 6)
-    assert not w2.in_image(5, 0)
+    assert (w2.in_image(4, 6))#.all()
+    assert not (w2.in_image(5, 0))#, [True, False])
     assert np.array_equal(
         w2.in_image(
             [[9, 10, 11, 15], [8, 9, 67, 98], [2, 2, np.nan, 102]],

gwcs/wcs.py

@@ -400,31 +400,12 @@ def in_image(self, *args, **kwargs):
            and `False` if input is outside the footprint.
 
         """
-        coords = self.invert(*args, with_bounding_box=False, **kwargs)
+        coords = self.invert(*args, **kwargs)
 
         result = np.isfinite(coords)
         if self.input_frame.naxes > 1:
             result = np.all(result, axis=0)
 
-        if self.bounding_box is None or not np.any(result):
-            return result
-
-        if self.input_frame.naxes == 1:
-            x1, x2 = self.bounding_box.bounding_box()
-
-            if len(np.shape(args[0])) > 0:
-                result[result] = (coords[result] >= x1) & (coords[result] <= x2)
-            elif result:
-                result = (coords >= x1) and (coords <= x2)
-
-        else:
-            if len(np.shape(args[0])) > 0:
-                for c, (x1, x2) in zip(coords, self.bounding_box):
-                    result[result] = (c[result] >= x1) & (c[result] <= x2)
-
-            elif result:
-                result = all([(c >= x1) and (c <= x2) for c, (x1, x2) in zip(coords, self.bounding_box)])
-
         return result
 
     def invert(self, *args, **kwargs):
@@ -489,7 +470,7 @@ def invert(self, *args, **kwargs):
         fill_value = kwargs.pop('fill_value', np.nan)
         akwargs = {k: v for k, v in kwargs.items() if k not in _ITER_INV_KWARGS}
         if with_bounding_box and self.bounding_box is not None:
-            result = self.outside_footprint(args)
+            args = self.outside_footprint(args)
 
         if btrans is not None:
             result = btrans(*args, **akwargs)
@@ -513,11 +494,8 @@ def outside_footprint(self, world_arrays):
 
         axes_types = set(self.output_frame.axes_type)
         footprint = self.footprint()
-        world_arrays = [coo.to(unit) for coo, unit in zip(world_arrays, self.output_frame.unit)
-                        if isinstance(coo, u.Quantity)]
-        world_arrays = [high_level_objects_to_values(coo, low_level_wcs=self) for
-                        coo in world_arrays if not utils.isnumerical(coo)]
-
+        if not utils.isnumerical(world_arrays[0]):
+            world_arrays = high_level_objects_to_values(*world_arrays, low_level_wcs=self)
         for axtyp in axes_types:
             ind = np.asarray((np.asarray(self.output_frame.axes_type) == axtyp))