[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

docs/conf.py

@@ -158,7 +158,7 @@ def check_sphinx_version(expected_version):
 
 # General information about the project
 project = setup_cfg["name"]
-author = f'{setup_cfg["authors"][0]["name"]} <{setup_cfg["authors"][0]["email"]}>'
+author = f"{setup_cfg['authors'][0]['name']} <{setup_cfg['authors'][0]['email']}>"
 copyright = f"{datetime.datetime.now().year}, {author}"
 
 # The version info for the project you're documenting, acts as replacement for

docs/exts/numfig.py

@@ -81,9 +81,7 @@ def doctree_resolved(app, doctree, docname):
             if app.builder.name == "html":
                 target_doc = app.builder.env.figid_docname_map[target]
                 link = f"{app.builder.get_relative_uri(docname, target_doc)}#{target}"
-                html = (
-                    f'<a class="pageref" href="{link}">{labelfmt %(figids[target])}</a>'
-                )
+                html = f'<a class="pageref" href="{link}">{labelfmt % (figids[target])}</a>'
                 ref_info.replace_self(raw(html, html, format="html"))
             else:
                 ref_info.replace_self(Text(labelfmt % (figids[target])))

romancal/associations/lib/process_list.py

@@ -154,7 +154,7 @@ def update(self, process_list, full=False):
             self.only_on_match = process_list.only_on_match
 
     def __str__(self):
-        result = f"{self.__class__.__name__}(n_items: {len(self.items)}, {({str_attr: getattr(self, str_attr) for str_attr in self._str_attrs})})"
+        result = f"{self.__class__.__name__}(n_items: {len(self.items)}, { ({str_attr: getattr(self, str_attr) for str_attr in self._str_attrs}) })"
         return result
 
 

romancal/associations/lib/rules_elpp_base.py

@@ -219,9 +219,7 @@ def _dms_product_name(association):
         if subarray:
             subarray = "-" + subarray
 
-        product_name = (
-            "r{program}-{acid}" "_{target}" "_{instrument}" "_{opt_elem}{subarray}"
-        )
+        product_name = "r{program}-{acid}_{target}_{instrument}_{opt_elem}{subarray}"
         if "Full" in association.data["asn_rule"]:
             subarray = "Full"
 
@@ -396,7 +394,7 @@ def _add(self, item):
         members.append(member)
         if member["exposerr"] not in _EMPTY:
             logger.warning(
-                f"Member {item['filename']} has exposure error \"{member['exposerr']}\""
+                f'Member {item["filename"]} has exposure error "{member["exposerr"]}"'
             )
 
         # Update meta info

romancal/associations/skycell_asn.py

@@ -180,9 +180,7 @@ def _cli(args=None):
         "--rule",
         type=str,
         default="DMS_ELPP_Base",
-        help=(
-            "The rule to base the association structure on." ' Default: "%(default)s"'
-        ),
+        help=('The rule to base the association structure on. Default: "%(default)s"'),
     )
     parser.add_argument(
         "-i",

romancal/ramp_fitting/ramp_fit_step.py

@@ -116,7 +116,7 @@ def ols_cas22(self, input_model, readnoise_model, gain_model, dark_model):
         # Force read pattern to be pure lists not LNodes
         read_pattern = [list(reads) for reads in input_model.meta.exposure.read_pattern]
         if len(read_pattern) != resultants.shape[0]:
-            raise RuntimeError("mismatch between resultants shape and " "read_pattern.")
+            raise RuntimeError("mismatch between resultants shape and read_pattern.")
 
         # add dark current back into resultants so that Poisson noise is
         # properly accounted for

romancal/regtest/test_resample.py

@@ -31,38 +31,37 @@ def test_resample_single_file(rtdata, ignore_asdf_paths):
 
     step.log.info(
         "ResampleStep recorded as complete? :"
-        f' {resample_out.meta.cal_step.resample == "COMPLETE"}'
+        f" {resample_out.meta.cal_step.resample == 'COMPLETE'}"
     )
     assert resample_out.meta.cal_step.resample == "COMPLETE"
 
     step.log.info(
         "ResampleStep created 'meta.resample'? :"
-        f' {hasattr(resample_out.meta, "resample")}'
+        f" {hasattr(resample_out.meta, 'resample')}"
     )
     assert hasattr(resample_out.meta, "resample")
 
     step.log.info(
         f"""DMS342 MSG: Was ICRS used as the mosaic astrometric reference frame? :\
-            {
-                resample_out.meta.coordinates.reference_frame == "ICRS"
-            }
+            {resample_out.meta.coordinates.reference_frame == "ICRS"}
         """
     )
     assert resample_out.meta.coordinates.reference_frame == "ICRS"
 
     step.log.info(
         f"""DMS343 MSG: ResampleStep created new attribute data quality information? :\
             {
-                all(
-                    hasattr(resample_out, x) for x in [
-                        "data",
-                        "err",
-                        "var_poisson",
-                        "var_rnoise",
-                        "var_flat",
-                    ]
-                )
-            }"""
+            all(
+                hasattr(resample_out, x)
+                for x in [
+                    "data",
+                    "err",
+                    "var_poisson",
+                    "var_rnoise",
+                    "var_flat",
+                ]
+            )
+        }"""
     )
     assert all(
         hasattr(resample_out, x)
@@ -72,13 +71,14 @@ def test_resample_single_file(rtdata, ignore_asdf_paths):
     step.log.info(
         f"""DMS343 MSG: Were the variance arrays populated (variance propagation)? :\
             {
-                all(
-                    np.sum(~np.isnan(getattr(resample_out, x))) for x in [
-                        "var_poisson",
-                        "var_rnoise",
-                    ]
-                )
-            }"""
+            all(
+                np.sum(~np.isnan(getattr(resample_out, x)))
+                for x in [
+                    "var_poisson",
+                    "var_rnoise",
+                ]
+            )
+        }"""
     )
     assert all(
         np.sum(~np.isnan(getattr(resample_out, x)))
@@ -88,16 +88,17 @@ def test_resample_single_file(rtdata, ignore_asdf_paths):
     step.log.info(
         f"""DMS343 MSG: Are there NaNs or zeros in the variance arrays, indicating poor data quality? :\
             {
-                any(
-                    np.sum(
-                        np.logical_or(
-                            np.isnan(getattr(resample_out, x)),
-                            np.equal(getattr(resample_out, x), 0)
-                        )
-                    ) > 0 for x in ["var_poisson", "var_rnoise", "var_flat"]
+            any(
+                np.sum(
+                    np.logical_or(
+                        np.isnan(getattr(resample_out, x)),
+                        np.equal(getattr(resample_out, x), 0),
+                    )
                 )
-
-            }"""
+                > 0
+                for x in ["var_poisson", "var_rnoise", "var_flat"]
+            )
+        }"""
     )
     assert all(
         np.sum(np.isnan(getattr(resample_out, x)))
@@ -114,19 +115,19 @@ def test_resample_single_file(rtdata, ignore_asdf_paths):
     step.log.info(
         f"""DMS345 MSG: ResampleStep included all metadata relevant to the creation of the mosaic? :\
             {
-                all(
-                    hasattr(resample_out.meta.resample, x)
-                    and bool(getattr(resample_out.meta.resample, x))
-                    for x in [
-                        "pixel_scale_ratio",
-                        "pixfrac",
-                        "pointings",
-                        "product_exposure_time",
-                        "weight_type",
-                        "members",
-                    ]
-                )
-            }"""
+            all(
+                hasattr(resample_out.meta.resample, x)
+                and bool(getattr(resample_out.meta.resample, x))
+                for x in [
+                    "pixel_scale_ratio",
+                    "pixfrac",
+                    "pointings",
+                    "product_exposure_time",
+                    "weight_type",
+                    "members",
+                ]
+            )
+        }"""
     )
     assert all(
         hasattr(resample_out.meta.resample, x)
@@ -142,5 +143,5 @@ def test_resample_single_file(rtdata, ignore_asdf_paths):
     )
 
     diff = compare_asdf(rtdata.output, rtdata.truth, **ignore_asdf_paths)
-    step.log.info("Was the proper Resample data produced?" f" : {diff.identical}")
+    step.log.info(f"Was the proper Resample data produced? : {diff.identical}")
     assert diff.identical, diff.report()

romancal/regtest/test_tweakreg.py

@@ -44,7 +44,7 @@ def test_tweakreg(rtdata, ignore_asdf_paths, tmp_path):
 
     step.log.info(
         "DMS280 MSG: TweakReg step recorded as complete? :"
-        f' {tweakreg_out.meta.cal_step.tweakreg == "COMPLETE"}'
+        f" {tweakreg_out.meta.cal_step.tweakreg == 'COMPLETE'}"
     )
     assert tweakreg_out.meta.cal_step.tweakreg == "COMPLETE"
 

romancal/regtest/test_wfi_dq_init.py

@@ -30,10 +30,10 @@ def test_dq_init_image_step(rtdata, ignore_asdf_paths):
         "mask file applied."
     )
 
-    step.log.info(f'DMS25 MSG: First data file: {rtdata.input.rsplit("/", 1)[1]}')
+    step.log.info(f"DMS25 MSG: First data file: {rtdata.input.rsplit('/', 1)[1]}")
     ref_file_path = step.get_reference_file(model, "mask")
     step.log.info(
-        f'DMS25 MSG: CRDS matched mask file: {ref_file_path.rsplit("/", 1)[1]}'
+        f"DMS25 MSG: CRDS matched mask file: {ref_file_path.rsplit('/', 1)[1]}"
     )
     ref_file_name = os.path.split(ref_file_path)[-1]
 
@@ -52,7 +52,7 @@ def test_dq_init_image_step(rtdata, ignore_asdf_paths):
     ramp_out = rdm.open(rtdata.output)
     step.log.info(
         "DMS25 MSG: Does ramp data contain pixeldq from mask file? :"
-        f' {("roman.pixeldq" in ramp_out.to_flat_dict())}'
+        f" {('roman.pixeldq' in ramp_out.to_flat_dict())}"
     )
     assert "roman.pixeldq" in ramp_out.to_flat_dict()
 
@@ -85,10 +85,10 @@ def test_dq_init_grism_step(rtdata, ignore_asdf_paths):
         "mask file applied."
     )
 
-    step.log.info(f'DMS25 MSG: First data file: {rtdata.input.rsplit("/", 1)[1]}')
+    step.log.info(f"DMS25 MSG: First data file: {rtdata.input.rsplit('/', 1)[1]}")
     ref_file_path = step.get_reference_file(model, "mask")
     step.log.info(
-        f'DMS25 MSG: CRDS matched mask file: {ref_file_path.rsplit("/", 1)[1]}'
+        f"DMS25 MSG: CRDS matched mask file: {ref_file_path.rsplit('/', 1)[1]}"
     )
     ref_file_name = os.path.split(ref_file_path)[-1]
 
@@ -107,7 +107,7 @@ def test_dq_init_grism_step(rtdata, ignore_asdf_paths):
     ramp_out = rdm.open(rtdata.output)
     step.log.info(
         "DMS25 MSG: Does ramp data contain pixeldq from mask file? :"
-        f' {("roman.pixeldq" in ramp_out.to_flat_dict())}'
+        f" {('roman.pixeldq' in ramp_out.to_flat_dict())}"
     )
     assert "roman.pixeldq" in ramp_out.to_flat_dict()
 

romancal/regtest/test_wfi_flat_field.py

@@ -90,12 +90,12 @@ def test_flat_field_crds_match_image_step(rtdata, ignore_asdf_paths):
         " correct use after date"
     )
 
-    step.log.info(f'DMS79 MSG: First data file: {rtdata.input.rsplit("/", 1)[1]}')
+    step.log.info(f"DMS79 MSG: First data file: {rtdata.input.rsplit('/', 1)[1]}")
     step.log.info(f"DMS79 MSG: Observation date: {model.meta.exposure.start_time}")
 
     ref_file_path = step.get_reference_file(model, "flat")
     step.log.info(
-        f'DMS79 MSG: CRDS matched flat file: {ref_file_path.rsplit("/", 1)[1]}'
+        f"DMS79 MSG: CRDS matched flat file: {ref_file_path.rsplit('/', 1)[1]}"
     )
     flat = rdm.open(ref_file_path)
     step.log.info(f"DMS79 MSG: flat file UseAfter date: {flat.meta.useafter}")
@@ -118,9 +118,7 @@ def test_flat_field_crds_match_image_step(rtdata, ignore_asdf_paths):
 
     diff = compare_asdf(rtdata.output, rtdata.truth, **ignore_asdf_paths)
     step.log.info(
-        "DMS79 MSG: Was proper flat fielded "
-        "Level 2 data produced? : "
-        f"{diff.identical}"
+        f"DMS79 MSG: Was proper flat fielded Level 2 data produced? : {diff.identical}"
     )
     assert diff.identical, diff.report()
 
@@ -137,12 +135,12 @@ def test_flat_field_crds_match_image_step(rtdata, ignore_asdf_paths):
     step = FlatFieldStep()
     model = rdm.open(rtdata.input)
 
-    step.log.info(f'DMS79 MSG: Second data file: {rtdata.input.rsplit("/", 1)[1]}')
+    step.log.info(f"DMS79 MSG: Second data file: {rtdata.input.rsplit('/', 1)[1]}")
     step.log.info(f"DMS79 MSG: Observation date: {model.meta.exposure.start_time}")
 
     ref_file_path_b = step.get_reference_file(model, "flat")
     step.log.info(
-        f'DMS79 MSG: CRDS matched flat file: {ref_file_path_b.rsplit("/", 1)[1]}'
+        f"DMS79 MSG: CRDS matched flat file: {ref_file_path_b.rsplit('/', 1)[1]}"
     )
     flat = rdm.open(ref_file_path_b)
     step.log.info(f"DMS79 MSG: flat file UseAfter date: {flat.meta.useafter}")
@@ -164,18 +162,16 @@ def test_flat_field_crds_match_image_step(rtdata, ignore_asdf_paths):
     rtdata.get_truth(f"truth/WFI/image/{output}")
     diff = compare_asdf(rtdata.output, rtdata.truth, **ignore_asdf_paths)
     step.log.info(
-        "DMS79 MSG: Was proper flat fielded "
-        "Level 2 data produced? : "
-        f"{diff.identical}"
+        f"DMS79 MSG: Was proper flat fielded Level 2 data produced? : {diff.identical}"
     )
     assert diff.identical, diff.report()
 
     # Test differing flat matches
     step.log.info(
         "DMS79 MSG REQUIRED TEST: Are the two data files "
         "matched to different flat files? : "
-        f'{("/".join(ref_file_path.rsplit("/", 3)[1:]))} != '
-        f'{("/".join(ref_file_path_b.rsplit("/", 3)[1:]))}'
+        f"{('/'.join(ref_file_path.rsplit('/', 3)[1:]))} != "
+        f"{('/'.join(ref_file_path_b.rsplit('/', 3)[1:]))}"
     )
     assert "/".join(ref_file_path.rsplit("/", 1)[1:]) != "/".join(
         ref_file_path_b.rsplit("/", 1)[1:]

romancal/regtest/test_wfi_photom.py

@@ -33,7 +33,7 @@ def test_absolute_photometric_calibration(rtdata, ignore_asdf_paths):
         "CRDS selected photom file applied."
     )
 
-    step.log.info(f'DMS140 MSG: Image data file: {rtdata.input.rsplit("/", 1)[1]}')
+    step.log.info(f"DMS140 MSG: Image data file: {rtdata.input.rsplit('/', 1)[1]}")
 
     # Note: if any of the following tests fail, check for a different
     # photom match from CRDS. Values come from roman_wfi_photom_0034.asdf
@@ -52,7 +52,7 @@ def test_absolute_photometric_calibration(rtdata, ignore_asdf_paths):
 
     step.log.info(
         "DMS140 MSG: Photom step recorded as complete? :"
-        f' {photom_out.meta.cal_step.photom == "COMPLETE"}'
+        f" {photom_out.meta.cal_step.photom == 'COMPLETE'}"
     )
     assert photom_out.meta.cal_step.photom == "COMPLETE"
 

romancal/resample/gwcs_drizzle.py

@@ -421,7 +421,7 @@ def dodrizzle(
     pixmap = resample_utils.calc_gwcs_pixmap(input_wcs, output_wcs, insci.shape)
     # inwht[np.isnan(pixmap[:,:,0])] = 0.
 
-    log.debug(f"Pixmap shape: {pixmap[:,:,0].shape}")
+    log.debug(f"Pixmap shape: {pixmap[:, :, 0].shape}")
     log.debug(f"Input Sci shape: {insci.shape}")
     log.debug(f"Output Sci shape: {outsci.shape}")
 

romancal/resample/resample.py

@@ -726,7 +726,7 @@ def drizzle_arrays(
         # for use in drizzle.cdrizzle.tdriz
         pixmap = resample_utils.calc_gwcs_pixmap(input_wcs, output_wcs, insci.shape)
 
-        log.debug(f"Pixmap shape: {pixmap[:,:,0].shape}")
+        log.debug(f"Pixmap shape: {pixmap[:, :, 0].shape}")
         log.debug(f"Input Sci shape: {insci.shape}")
         log.debug(f"Output Sci shape: {outsci.shape}")