chore: rebase

popmon/analysis/hist_numpy.py

@@ -17,9 +17,9 @@
 # IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
 # CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
 
+from __future__ import annotations
 
 import warnings
-from typing import List
 
 import histogrammar
 import numpy as np
@@ -187,7 +187,7 @@ def get_consistent_numpy_ndgrids(
         )
     assert_similar_hists(hist_list)
 
-    keys: List[set] = [set() for _ in range(dim)]
+    keys: list[set] = [set() for _ in range(dim)]
     for hist in hist_list:
         hist_keys = prepare_ndgrid(hist, n_dim=dim)
         for i, h_keys in enumerate(hist_keys):

popmon/base/registry.py

@@ -19,19 +19,19 @@
 from __future__ import annotations
 
 from collections import defaultdict
-from typing import Any, Callable, DefaultDict, Dict, List, Optional, Tuple, Union
+from typing import Any, Callable
 
 
 class Registry:
     _properties = ("dim", "htype")
 
     def __init__(self) -> None:
-        self._keys: List[str] = []
-        self._descriptions: Dict[str, str] = {}
-        self._properties_to_func: DefaultDict[
-            str, DefaultDict[str, Dict[Any, Any]]
+        self._keys: list[str] = []
+        self._descriptions: dict[str, str] = {}
+        self._properties_to_func: defaultdict[
+            str, defaultdict[str, dict[Any, Any]]
         ] = defaultdict(lambda: defaultdict(dict))
-        self._func_name_to_properties: Dict[Any, Any] = {}
+        self._func_name_to_properties: dict[Any, Any] = {}
 
     def register(
         self,

popmon/pipeline/metrics.py

@@ -20,7 +20,6 @@
 from __future__ import annotations
 
 import logging
-from typing import Optional
 
 from histogrammar.dfinterface.make_histograms import get_bin_specs, make_histograms
 
@@ -75,7 +74,7 @@ def stability_metrics(
 
 def df_stability_metrics(
     df,
-    settings: Optional[Settings] = None,
+    settings: Settings | None = None,
     time_width=None,
     time_offset: int = 0,
     var_dtype=None,

popmon/pipeline/report.py

@@ -80,7 +80,7 @@ def stability_report(
 
 def df_stability_report(
     df,
-    settings: Optional[Settings] = None,
+    settings: Settings | None | None = None,
     time_width=None,
     time_offset: int = 0,
     var_dtype=None,
@@ -280,7 +280,7 @@ def regenerate(
         self,
         store_key: str = "html_report",
         sections_key: str = "report_sections",
-        settings: Optional[Settings] = None,
+        settings: Settings | None = None,
     ):
         """Regenerate HTML report with different plot settings
         :param str sections_key: key to store sections data in the datastore. default is 'report_sections'.

popmon/visualization/utils.py

@@ -25,7 +25,6 @@
 import math
 import warnings
 from collections import defaultdict
-from typing import DefaultDict, Dict, List, Union
 
 import numpy as np
 import pandas as pd
@@ -325,7 +324,7 @@ def plot_bars(
 
 
 def plot_traffic_lights_overview(feature, data, metrics: list[str], labels: list[str]):
-    colors: DefaultDict[str, Dict[str, List[str]]] = defaultdict(dict)
+    colors: defaultdict[str, dict[str, list[str]]] = defaultdict(dict)
     color_map = ["g", "y", "r"]
     for c1, metric in enumerate(metrics):
         for c2, label in enumerate(labels):
@@ -366,7 +365,7 @@ def plot_traffic_lights_alerts_aggregate(
     yellow = hex_to_rgb(tl_colors["yellow"])
     red = hex_to_rgb(tl_colors["red"])
 
-    colors: DefaultDict[str, Dict[str, List[str]]] = defaultdict(dict)
+    colors: defaultdict[str, dict[str, list[str]]] = defaultdict(dict)
     for c1, metric in enumerate(metrics):
         row_max = np.max(data[c1])
         for c2, label in enumerate(labels):