Fix style issues flagged by formatter (#562)

tompollard · web-flow · commit ab996c259b86 · 2026-02-03T12:48:55.000-05:00
Style checks are currently failing: https://github.com/MIT-LCP/wfdb-python/actions/runs/21638973652/job/62372710762 This pull request fixes the pre-existing style issues by: - Removing extra blank lines, - Removing unnecessary parentheses in tuple unpacking - Reformatting multi-line exception strings
diff --git a/tests/__init__.py b/tests/__init__.py
@@ -1,6 +1,5 @@
 import numpy as np
 
-
 _np_error_state = {}
 
 
diff --git a/wfdb/io/_coreio.py b/wfdb/io/_coreio.py
@@ -5,7 +5,6 @@
 from wfdb.io import _url
 from wfdb.io.download import config
 
-
 # Cloud protocols
 CLOUD_PROTOCOLS = ["az://", "azureml://", "s3://", "gs://"]
 
diff --git a/wfdb/io/_url.py b/wfdb/io/_url.py
@@ -9,7 +9,6 @@
 
 from wfdb.version import __version__
 
-
 # Value for 'buffering' indicating that the entire file should be
 # buffered at once.
 BUFFER_WHOLE_FILE = -2
@@ -486,7 +485,7 @@ def _read_range(self, start, end):
             if buffer_store:
                 # Load data into buffer and then return a copy to the
                 # caller.
-                (start, data) = xfer.content()
+                start, data = xfer.content()
                 self._buffer = data
                 self._buffer_start = start
                 self._buffer_end = start + len(data)
@@ -767,7 +766,7 @@ def openurl(
         (io.BufferedIOBase) or text file API (io.TextIOBase).
 
     """
-    (scheme, netloc, path, _, _, _) = urllib.parse.urlparse(url)
+    scheme, netloc, path, _, _, _ = urllib.parse.urlparse(url)
     if scheme == "":
         raise NetFileError("no scheme specified for URL: %r" % (url,), url=url)
 
diff --git a/wfdb/io/annotation.py b/wfdb/io/annotation.py
@@ -1469,7 +1469,9 @@ def convert_label_attribute(
                 return
 
         label_map = self.create_label_map(inplace=False)
-        label_map.set_index(keys=pd.Index(label_map[source_field].values), inplace=True)
+        label_map.set_index(
+            keys=pd.Index(label_map[source_field].values), inplace=True
+        )
 
         try:
             target_item = label_map.loc[
@@ -1959,7 +1961,7 @@ def rdann(
     filebytes = load_byte_pairs(record_name, extension, pn_dir)
 
     # Get WFDB annotation fields from the file bytes
-    (sample, label_store, subtype, chan, num, aux_note) = proc_ann_bytes(
+    sample, label_store, subtype, chan, num, aux_note = proc_ann_bytes(
         filebytes, sampto
     )
 
@@ -1970,17 +1972,17 @@ def rdann(
     )
 
     # Try to extract information describing the annotation file
-    (fs, custom_labels) = interpret_defintion_annotations(
+    fs, custom_labels = interpret_defintion_annotations(
         potential_definition_inds, aux_note
     )
 
     # Remove annotations that do not store actual sample and label information
-    (sample, label_store, subtype, chan, num, aux_note) = rm_empty_indices(
+    sample, label_store, subtype, chan, num, aux_note = rm_empty_indices(
         rm_inds, sample, label_store, subtype, chan, num, aux_note
     )
 
     # Convert lists to numpy arrays dtype='int'
-    (label_store, subtype, chan, num) = lists_to_int_arrays(
+    label_store, subtype, chan, num = lists_to_int_arrays(
         label_store, subtype, chan, num
     )
 
diff --git a/wfdb/io/convert/csv.py b/wfdb/io/convert/csv.py
@@ -625,20 +625,16 @@ def csv2ann(
             df_CSV.columns = ["onset", "duration", "description"]
         df_out = format_ann_from_df(df_CSV)
     else:
-        raise Exception(
-            """The number of columns in the CSV was not
-                        recognized."""
-        )
+        raise Exception("""The number of columns in the CSV was not
+                        recognized.""")
 
     # Remove extension from input file name
     file_name = file_name.split(".")[0]
     if time_onset:
         if not fs:
-            raise Exception(
-                """`fs` must be provided if `time_onset` is True
+            raise Exception("""`fs` must be provided if `time_onset` is True
                             since it is required to convert time onsets to
-                            samples"""
-            )
+                            samples""")
         sample = (df_out["onset"].to_numpy() * fs).astype(np.int64)
     else:
         sample = df_out["onset"].to_numpy()
diff --git a/wfdb/io/download.py b/wfdb/io/download.py
@@ -7,7 +7,6 @@
 
 from wfdb.io import _url
 
-
 # The PhysioNet index url
 PN_INDEX_URL = "https://physionet.org/files/"
 PN_CONTENT_URL = "https://physionet.org/content/"
diff --git a/wfdb/io/record.py b/wfdb/io/record.py
@@ -16,7 +16,6 @@
 from wfdb.io import util
 from wfdb.io._coreio import CLOUD_PROTOCOLS
 
-
 # -------------- WFDB Signal Calibration and Classification ---------- #
 
 

Original file line number	Diff line number	Diff line change
`@@ -1,6 +1,5 @@`
`1`	`1`	`import numpy as np`
`2`	`2`
`3`		`-`
`4`	`3`	`_np_error_state = {}`
`5`	`4`
`6`	`5`