change MIRI LRS bbox to match the interpolation model 'points' range.…

… Bump min version of asdf. Fix tweakreg step test.

jwst/assign_wcs/miri.py

@@ -310,6 +310,8 @@ def lrs_xytoabl(input_model, reference_files):
     dxmodel = models.Tabular1D(lookup_table=xshiftref, points=ycen_subarray, name='xshiftref',
                                  bounds_error=False, fill_value=np.nan)
 
+    if input_model.meta.exposure.type.lower() == 'mir_lrs-fixedslit':
+        bb_sub = (bb_sub[0], (dxmodel.points[0].min(), dxmodel.points[0].max()))
     # Fit for the wavelength as a function of Y
     # Reverse the vectors so that yinv is increasing (needed for spline fitting function)
     # Spline fit with enforced smoothness

jwst/tweakreg/tests/test_multichip_jwst.py

@@ -376,7 +376,6 @@ def test_multichip_alignment_step_rel(monkeypatch):
         format='ascii.ecsv', delimiter=' ',
         names=['RA', 'DEC']
     )
-    #x, y = wr.world_to_pixel(refcat['RA'].value, refcat['DEC'].value)
     x, y = wr.invert(refcat['RA'].value, refcat['DEC'].value,  with_bounding_box=False)
     refcat['x'] = x
     refcat['y'] = y
@@ -460,7 +459,6 @@ def test_multichip_alignment_step_abs(monkeypatch):
         format='ascii.ecsv', delimiter=' ',
         names=['RA', 'DEC']
     )
-    #x, y = wr.world_to_pixel(refcat['RA'], refcat['DEC'])
     x, y = wr.invert(refcat['RA'].value, refcat['DEC'].value, with_bounding_box=False)
     refcat['x'] = x
     refcat['y'] = y

pyproject.toml

@@ -18,7 +18,7 @@ classifiers = [
     "Programming Language :: Python :: 3.12",
 ]
 dependencies = [
-    "asdf>=3.1.0,<5",
+    "asdf>=3.3,<5",
     "astropy>=5.3",
     "BayesicFitting>=3.0.1",
     "crds>=12.0.3",