ruff reformating

staskh · staskh · commit 533f387cba56 · 2025-06-17T01:28:49.000+03:00
diff --git a/iglu_python/adrr.py b/iglu_python/adrr.py
@@ -13,7 +13,7 @@ def adrr(data: pd.DataFrame|pd.Series) -> pd.DataFrame|float:
 
     Parameters
     ----------
-    data : pd.DataFrame|pd.Series   
+    data : pd.DataFrame|pd.Series
         DataFrame object with column names "id", "time", and "gl".
         or a Timeseries of glucose values.
 
diff --git a/iglu_python/hbgi.py b/iglu_python/hbgi.py
@@ -25,7 +25,7 @@ def hbgi(data: Union[pd.DataFrame, pd.Series, np.ndarray, list]) -> pd.DataFrame
     Parameters
     ----------
     data : Union[pd.DataFrame, pd.Series, np.ndarray, list]
-        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values, 
+        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values,
         or a numpy array or list of glucose values
 
     Returns
diff --git a/iglu_python/hypo_index.py b/iglu_python/hypo_index.py
@@ -20,7 +20,7 @@ def hypo_index(
     Parameters
     ----------
     data : Union[pd.DataFrame, pd.Series, np.ndarray, list]
-        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values, 
+        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values,
         or a numpy array or list of glucose values
     LLTR : int, default=80
         Lower Limit of Target Range, in mg/dL
diff --git a/iglu_python/j_index.py b/iglu_python/j_index.py
@@ -17,7 +17,7 @@ def j_index(data: Union[pd.DataFrame, pd.Series, np.ndarray, list]) -> pd.DataFr
     Parameters
     ----------
     data : Union[pd.DataFrame, pd.Series, np.ndarray, list]
-        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values, 
+        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values,
         or a numpy array or list of glucose values
 
     Returns
diff --git a/iglu_python/mad_glu.py b/iglu_python/mad_glu.py
@@ -19,7 +19,7 @@ def mad_glu(
     Parameters
     ----------
     data : Union[pd.DataFrame, pd.Series, np.ndarray, list]
-        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values, 
+        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values,
         or a numpy array or list of glucose values
     constant : float, default=1.4826
         Scaling factor to multiply the MAD value. The default value of 1.4826
@@ -31,7 +31,7 @@ def mad_glu(
     pd.DataFrame|float
         DataFrame with columns:
         - id: subject identifier (if DataFrame input)
-        - MAD: MAD value (median absolute deviation of glucose values). 
+        - MAD: MAD value (median absolute deviation of glucose values).
         If a Series of glucose values is passed, then a float is returned.
 
     Examples
diff --git a/iglu_python/median_glu.py b/iglu_python/median_glu.py
@@ -17,7 +17,7 @@ def median_glu(data: Union[pd.DataFrame, pd.Series, np.ndarray, list]) -> pd.Dat
     Parameters
     ----------
     data : Union[pd.DataFrame, pd.Series, np.ndarray, list]
-        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values, 
+        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values,
         or a numpy array or list of glucose values
 
     Returns
diff --git a/iglu_python/modd.py b/iglu_python/modd.py
@@ -19,7 +19,7 @@ def modd(
     Parameters
     ----------
     data : Union[pd.DataFrame, pd.Series, np.ndarray, list]
-        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values, 
+        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values,
         or a numpy array or list of glucose values
     lag : int, default=1
         Integer indicating which lag (# days) to use. Default is 1.
@@ -31,7 +31,7 @@ def modd(
     pd.DataFrame|float
         DataFrame with columns:
         - id: subject identifier (if DataFrame input)
-        - MODD: Mean of Daily Differences value. 
+        - MODD: Mean of Daily Differences value.
         If a Series of glucose values is passed, then a float is returned.
 
     References
diff --git a/iglu_python/pgs.py b/iglu_python/pgs.py
@@ -23,7 +23,7 @@ def pgs(
     Parameters
     ----------
     data : Union[pd.DataFrame, pd.Series]
-        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values, 
+        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values,
         or a numpy array or list of glucose values
         Should only be data for 1 subject. In case multiple subject ids are detected,
         a warning is produced and only 1st subject is used.
diff --git a/iglu_python/quantile_glu.py b/iglu_python/quantile_glu.py
@@ -19,7 +19,7 @@ def quantile_glu(
     Parameters
     ----------
     data : Union[pd.DataFrame, pd.Series, np.ndarray, list]
-        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values, 
+        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values,
         or a numpy array or list of glucose values
     quantiles : List[float], default=[0, 25, 50, 75, 100]
         List of quantile values between 0 and 100
diff --git a/iglu_python/range_glu.py b/iglu_python/range_glu.py
@@ -16,7 +16,7 @@ def range_glu(data: Union[pd.DataFrame, pd.Series, np.ndarray, list]) -> pd.Data
     Parameters
     ----------
     data : Union[pd.DataFrame, pd.Series, np.ndarray, list]
-        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values, 
+        DataFrame with columns 'id', 'time', and 'gl', or a Series of glucose values,
         or a numpy array or list of glucose values
 
     Returns
diff --git a/iglu_python/sd_measures.py b/iglu_python/sd_measures.py
@@ -32,7 +32,7 @@ def sd_measures(data: pd.DataFrame|pd.Series,
     Returns
     -------
     pd.DataFrame
-        A DataFrame with columns for id and each of the six SD subtypes. 
+        A DataFrame with columns for id and each of the six SD subtypes.
         If a Series of glucose values is passed, then a dictionary is returned.
         - SDw: vertical within days
         - SDhhmm: between time points
diff --git a/iglu_python/sd_roc.py b/iglu_python/sd_roc.py
@@ -41,7 +41,7 @@ def sd_roc(
     -------
     pd.DataFrame|float
         DataFrame with two columns: subject id and standard deviation of the rate of change
-        values for each subject. 
+        values for each subject.
         If a Series of glucose values is passed, then a float is returned.
 
     Notes
diff --git a/tests/test_process_data.py b/tests/test_process_data.py
@@ -213,7 +213,7 @@ def test_process_data_glucose_warnings():
 
     with warnings.catch_warnings(record=True) as w:
         warnings.simplefilter("always")
-        result = iglu.process_data(data, id='id', timestamp='time', glu='gl')
+        iglu.process_data(data, id='id', timestamp='time', glu='gl')
 
         # Should generate warnings for extreme values
         warning_messages = [str(warning.message) for warning in w]
@@ -304,7 +304,8 @@ def test_process_data_custom_time_parser():
     })
 
     # Custom parser for MM/DD/YYYY format
-    custom_parser = lambda x: pd.to_datetime(x, format='%m/%d/%Y %H:%M:%S')
+    def custom_parser(x):
+        return pd.to_datetime(x, format='%m/%d/%Y %H:%M:%S')
 
     result = iglu.process_data(data, id='id', timestamp='time', glu='gl',
                               time_parser=custom_parser)
