fixes

jwst/assign_wcs/util.py

@@ -74,30 +74,30 @@ def _domain_to_bounding_box(domain):
     return bb
 
 
-def reproject(wcs1, wcs2):
-    """
-    Given two WCSs return a function which takes pixel coordinates in
-    the first WCS and computes their location in the second one.
-
-    It performs the forward transformation of ``wcs1`` followed by the
-    inverse of ``wcs2``.
-
-    Parameters
-    ----------
-    wcs1, wcs2 : `~gwcs.wcs.WCS`
-        WCS objects.
-
-    Returns
-    -------
-    _reproject : func
-        Function to compute the transformations.  It takes x, y
-        positions in ``wcs1`` and returns x, y positions in ``wcs2``.
-    """
-
-    def _reproject(x, y):
-        sky = wcs1.forward_transform(x, y)
-        return wcs2.backward_transform(*sky)
-    return _reproject
+# def reproject(wcs1, wcs2):
+#     """
+#     Given two WCSs return a function which takes pixel coordinates in
+#     the first WCS and computes their location in the second one.
+
+#     It performs the forward transformation of ``wcs1`` followed by the
+#     inverse of ``wcs2``.
+
+#     Parameters
+#     ----------
+#     wcs1, wcs2 : `~gwcs.wcs.WCS`
+#         WCS objects.
+
+#     Returns
+#     -------
+#     _reproject : func
+#         Function to compute the transformations.  It takes x, y
+#         positions in ``wcs1`` and returns x, y positions in ``wcs2``.
+#     """
+
+#     def _reproject(x, y):
+#         sky = wcs1.forward_transform(x, y)
+#         return wcs2.backward_transform(*sky)
+#     return _reproject
 
 
 def compute_scale(wcs: WCS, fiducial: Union[tuple, np.ndarray],

jwst/regtest/test_niriss_image.py

@@ -54,7 +54,6 @@ def test_niriss_tweakreg_no_sources(rtdata, fitsdiff_default_kwargs):
     rtdata.input = "niriss/imaging/jw01537-o003_20240406t164421_image3_00004_asn.json"
     rtdata.get_asn("niriss/imaging/jw01537-o003_20240406t164421_image3_00004_asn.json")
 
-<<<<<<< HEAD
     args = [
         "jwst.tweakreg.TweakRegStep",
         rtdata.input,
@@ -64,12 +63,6 @@ def test_niriss_tweakreg_no_sources(rtdata, fitsdiff_default_kwargs):
 
     # run the test from the command line:
     result = Step.from_cmdline(args)
-=======
-    args = ["jwst.tweakreg.TweakRegStep", rtdata.input, "--abs_refcat='GAIADR3'"]
-    result = Step.from_cmdline(args)
-    # Check that the step is skipped
-    assert result.skip
->>>>>>> edae07e81 (fix assert statement; run the test with abs_refcat GAIADR3)
 
     # Check the status of the step is set correctly in the files.
     mc = datamodels.ModelContainer(rtdata.input)

jwst/resample/resample_utils.py

@@ -5,6 +5,7 @@
 import numpy as np
 from astropy import units as u
 from astropy import wcs as fitswcs
+from astropy.wcs.wcsapi.wrappers import SlicedLowLevelWCS
 from astropy.modeling import Model
 import gwcs
 
@@ -145,40 +146,21 @@ def reproject(wcs1, wcs2):
         positions in ``wcs1`` and returns x, y positions in ``wcs2``.
     """
 
-    # try:
-    #     # forward_transform = wcs1.pixel_to_world_values
-    #     # backward_transform = wcs2.world_to_pixel_values
-    #     forward_transform = wcs1.forward_transform
-    #     backward_transform = wcs2.backward_transform
-    # except AttributeError as err:
-    #     raise TypeError("Input should be a WCS") from err
-    def _get_forward(wcs):
-        if isinstance(wcs, gwcs.WCS):
-            return wcs.forward_transform
-        elif isinstance(wcs, fitswcs.WCS):
-            return wcs.pixel_to_world
-        elif isinstance(wcs, Model):
-            return wcs
-
-    def _get_backward(wcs):
-        if isinstance(wcs, gwcs.WCS):
-            return wcs.backward_transform
-        elif isinstance(wcs, fitswcs.WCS):
-            return wcs.world_to_pixel
-        elif isinstance(wcs, Model):
-            return wcs
+    try:
+        forward_transform = wcs1.pixel_to_world_values
+        backward_transform = wcs2.world_to_pixel_values
+    except AttributeError as err:
+        raise TypeError("Input should be a WCS") from err
 
     def _reproject(x, y):
-        #sky = forward_transform(x, y)
-        sky = _get_forward(wcs1)(x, y)
+        sky = forward_transform(x, y)
         flat_sky = []
         for axis in sky:
             flat_sky.append(axis.flatten())
         # Filter out RuntimeWarnings due to computed NaNs in the WCS
         with warnings.catch_warnings():
             warnings.simplefilter("ignore", RuntimeWarning)
-            #det = backward_transform(*tuple(flat_sky))
-            det = _get_backward(wcs2)(*tuple(flat_sky))
+            det = backward_transform(*tuple(flat_sky))
         det_reshaped = []
         for axis in det:
             det_reshaped.append(axis.reshape(x.shape))