Fix lint errors

lsst-dm · Jan 16, 2025 · 1346e2a · 1346e2a
1 parent 21b08c4
commit 1346e2a
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Showing 2 changed files with 19 additions and 10 deletions.
diff --git a/python/lsst/consdb/efd_transform/queue_manager.py b/python/lsst/consdb/efd_transform/queue_manager.py
@@ -105,7 +105,7 @@ def create_tasks(
             if start_time > end_time:
                 end_time = start_time + proccess_interval_seconds
 
-        ## start and end times computed before generating the interval list
+        # start and end times computed before generating the interval list
         # self.log.debug(f"Current time: {now}")
         # self.log.debug(f"Start time: {start_time}")
         # self.log.debug(f"End time: {end_time}")

diff --git a/python/lsst/consdb/efd_transform/summary.py b/python/lsst/consdb/efd_transform/summary.py
@@ -7,7 +7,8 @@
 
 class Summary:
     """
-    Class to summarize and analyze numeric time-series data with a DatetimeIndex.
+    Class to summarize and analyze numeric time-series data with a
+    DatetimeIndex.
 
     Attributes:
         data_array (np.ndarray): The numeric values of the DataFrame.
@@ -27,14 +28,20 @@ def __init__(
         Initializes the Summary class with a pandas DataFrame.
 
         Args:
-            dataframe (pd.DataFrame): A DataFrame with a DatetimeIndex and numeric or boolean data.
-            exposure_start (Time): Start of the exposure period as an astropy.time.Time object.
-            exposure_end (Time): End of the exposure period as an astropy.time.Time object.
-            datatype (Optional[str]): Desired NumPy dtype for the data conversion.
+            dataframe (pd.DataFrame): A DataFrame with a DatetimeIndex
+                and numeric or boolean data.
+            exposure_start (Time): Start of the exposure period as an
+                astropy.time.Time object.
+            exposure_end (Time): End of the exposure period as an
+                astropy.time.Time object.
+            datatype (Optional[str]): Desired NumPy dtype for the data
+                conversion.
 
         Raises:
-            ValueError: If the DataFrame index is not a DatetimeIndex or contains invalid data types.
-            ValueError: If exposure times are invalid or not compatible with the DataFrame index.
+            ValueError: If the DataFrame index is not a DatetimeIndex or
+                contains invalid data types.
+            ValueError: If exposure times are invalid or not compatible
+                with the DataFrame index.
         """
         if not isinstance(dataframe.index, pd.DatetimeIndex):
             raise ValueError("The DataFrame index must be a DatetimeIndex.")
@@ -107,7 +114,8 @@ def most_recent_value_in_last_minute(self) -> Optional[Union[float, int, bool]]:
         Find the most recent value within the last minute of the exposure_end.
 
         Returns:
-            Optional[Union[float, int, bool]]: The most recent value in the last minute or None if not found.
+            Optional[Union[float, int, bool]]: The most recent value in the
+                last minute or None if not found.
         """
         try:
             # Convert exposure_end (astropy Time) to pandas Timestamp
@@ -130,7 +138,8 @@ def apply(self, method_name: str, **kwargs) -> Optional[float]:
             **kwargs: Additional keyword arguments.
 
         Returns:
-            Result of the transformation method or None if the method is not callable.
+            Result of the transformation method or None if the method is not
+                callable.
         """
         if self.data_array.size == 0 or np.all(np.isnan(self._get_numeric_values())):
             return None