replace usages of copy_arrays with memmap

gwcs/tests/test_wcs.py

@@ -648,7 +648,7 @@ def test_to_fits_sip():
     xflat = np.ravel(x[1:-1, 1:-1])
     yflat = np.ravel(y[1:-1, 1:-1])
     fn = os.path.join(data_path, 'miriwcs.asdf')
-    with asdf.open(fn, lazy_load=False, copy_arrays=True, ignore_missing_extensions=True) as af:
+    with asdf.open(fn, lazy_load=False, memmap=False, ignore_missing_extensions=True) as af:
         miriwcs = af.tree['wcs']
     bounding_box = ((0, 1024), (0, 1024))
     mirisip = miriwcs.to_fits_sip(bounding_box, max_inv_pix_error=0.1, verbose=True)
@@ -1009,7 +1009,7 @@ def test_to_fits_tab_time_cube(gwcs_cube_with_separable_time):
 def test_to_fits_tab_miri_image():
     # gWCS:
     fn = os.path.join(data_path, 'miriwcs.asdf')
-    with asdf.open(fn, copy_arrays=True, lazy_load=False, ignore_missing_extensions=True) as af:
+    with asdf.open(fn, memmap=False, lazy_load=False, ignore_missing_extensions=True) as af:
         w = af.tree['wcs']
 
     # FITS WCS -TAB:
@@ -1033,7 +1033,7 @@ def test_to_fits_tab_miri_image():
 
 def test_to_fits_tab_miri_lrs():
     fn = os.path.join(data_path, 'miri_lrs_wcs.asdf')
-    with asdf.open(fn, copy_arrays=True, lazy_load=False, ignore_missing_extensions=True) as af:
+    with asdf.open(fn, memmap=False, lazy_load=False, ignore_missing_extensions=True) as af:
         w = af.tree['wcs']
 
     # FITS WCS -TAB:
@@ -1102,7 +1102,7 @@ def test_in_image():
 
 def test_iter_inv():
     fn = os.path.join(data_path, 'nircamwcs.asdf')
-    with asdf.open(fn, lazy_load=False, copy_arrays=False, ignore_missing_extensions=True) as af:
+    with asdf.open(fn, lazy_load=False, memmap=True, ignore_missing_extensions=True) as af:
         w = af.tree['wcs']
     # remove analytic/user-supplied inverse:
     w.pipeline[0].transform.inverse = None
@@ -1129,7 +1129,7 @@ def test_iter_inv():
     )
     assert np.allclose((x, y), (xp, yp))
 
-    with asdf.open(fn, lazy_load=False, copy_arrays=False, ignore_missing_extensions=True) as af:
+    with asdf.open(fn, lazy_load=False, memmap=True, ignore_missing_extensions=True) as af:
         w = af.tree['wcs']
 
     # test single point

gwcs/wcs.py

@@ -679,7 +679,7 @@ def numerical_inverse(self, *args, tolerance=1e-5, maxiter=50, adaptive=True,
         >>> import numpy as np
 
         >>> filename = get_pkg_data_filename('data/nircamwcs.asdf', package='gwcs.tests')
-        >>> with asdf.open(filename, copy_arrays=True, lazy_load=False, ignore_missing_extensions=True) as af:
+        >>> with asdf.open(filename, memmap=False, lazy_load=False, ignore_missing_extensions=True) as af:
         ...    w = af.tree['wcs']
 
         >>> ra, dec = w([1,2,3], [1,1,1])