Merge branch 'main' into nonbasic-ruff

HERA-Team · Jul 5, 2024 · 0ed2783 · 0ed2783
2 parents eb6388f + a0b3292
commit 0ed2783
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diff --git a/.github/workflows/publish.yaml b/.github/workflows/publish.yaml
@@ -30,7 +30,7 @@ jobs:
           python -m build
       - name: Publish to PyPI
         if: startsWith(github.event.ref, 'refs/tags')
-        uses: pypa/gh-action-pypi-publish@master
+        uses: pypa/gh-action-pypi-publish@v1.9.0
         with:
           user: __token__
           password: ${{ secrets.PyPI }}
diff --git a/hera_cal/io.py b/hera_cal/io.py
@@ -1769,9 +1769,9 @@ def get_file_times(filepaths, filetype='uvh5'):
                 else:
                     # need to generate lst_array on the fly
                     lst_array = np.ravel(uvutils.get_lst_for_time(_f[u'Header'][u'time_array'],
-                                                                  _f[u'Header'][u'latitude'][()],
-                                                                  _f[u'Header'][u'longitude'][()],
-                                                                  _f[u'Header'][u'altitude'][()]))
+                                                                  latitude=_f[u'Header'][u'latitude'][()],
+                                                                  longitude=_f[u'Header'][u'longitude'][()],
+                                                                  altitude=_f[u'Header'][u'altitude'][()]))
 
                 # figure out which baseline has the most times in order to handle BDA appropriately
                 baseline_array = uvutils.antnums_to_baseline(

diff --git a/hera_cal/lst_stack/averaging.py b/hera_cal/lst_stack/averaging.py
@@ -505,7 +505,6 @@ def average_and_inpaint_simultaneously_single_bl(
         CNinv_data_dpss = np.array([
             basis.T.dot(weighted_data) for weighted_data in mask[:, band] / noise_var[:, band] * stackd[:, band]
         ])
-        print(CNinv_data_dpss.shape, CNinv_data_dpss.shape)
         dpss_fits = np.array([
             a.dot(b) if np.all(np.isfinite(b)) else a.dot(np.zeros_like(b))
             for a, b in zip(CNinv_dpss_inv, CNinv_data_dpss)