Release

.pre-commit-config.yaml

@@ -1,15 +1,15 @@
 repos:
 -   repo: https://github.com/psf/black
-    rev: 23.3.0
+    rev: 23.7.0
     hooks:
     - id: black
 -   repo: https://github.com/charliermarsh/ruff-pre-commit
-    rev: 'v0.0.277'
+    rev: 'v0.0.278'
     hooks:
     -   id: ruff
         args: [--fix]
 -   repo: https://github.com/asottile/blacken-docs
-    rev: 1.14.0
+    rev: 1.15.0
     hooks:
     -   id: blacken-docs
 -   repo: local

popmon/analysis/hist_numpy.py

@@ -382,11 +382,7 @@ def check_similar_hists(
         return True
     for hist in hist_list:
         if not isinstance(hist, assert_type):
-            raise TypeError(
-                "Input histogram type {htype} not of {htypes}.".format(
-                    htype=type(hist), htypes=assert_type
-                )
-            )
+            raise TypeError(f"Input histogram type {type(hist)} not of {assert_type}.")
     # perform similarity checks on:
     # - number of dimensions
     # - histogram type
@@ -411,37 +407,27 @@ def check_similar_hists(
         # Make this consistent first.
         types = [get_contentType(hist) for hist in hist_list]
         if types.count(types[0]) != len(types):
-            warnings.warn(
-                "Input histograms have inconsistent class types: {types}".format(
-                    types=types
-                )
-            )
+            warnings.warn(f"Input histograms have inconsistent class types: {types}")
             return False
 
     # Check Bin attributes
     if isinstance(hist_list[0], histogrammar.Bin):
         nums = [hist.num for hist in hist_list]
         if nums.count(nums[0]) != len(nums):
             warnings.warn(
-                "Input Bin histograms have inconsistent num attributes: {types}".format(
-                    types=nums
-                )
+                f"Input Bin histograms have inconsistent num attributes: {nums}"
             )
             return False
         lows = [hist.low for hist in hist_list]
         if lows.count(lows[0]) != len(lows):
             warnings.warn(
-                "Input Bin histograms have inconsistent low attributes: {types}".format(
-                    types=lows
-                )
+                f"Input Bin histograms have inconsistent low attributes: {lows}"
             )
             return False
         highs = [hist.high for hist in hist_list]
         if highs.count(highs[0]) != len(highs):
             warnings.warn(
-                "Input histograms have inconsistent high attributes: {types}".format(
-                    types=highs
-                )
+                f"Input histograms have inconsistent high attributes: {highs}"
             )
             return False
 
@@ -450,17 +436,13 @@ def check_similar_hists(
         origins = [hist.origin for hist in hist_list]
         if origins.count(origins[0]) != len(origins):
             warnings.warn(
-                "Input SparselyBin histograms have inconsistent origin attributes: {types}".format(
-                    types=origins
-                )
+                f"Input SparselyBin histograms have inconsistent origin attributes: {origins}"
             )
             return False
         bws = [hist.binWidth for hist in hist_list]
         if bws.count(bws[0]) != len(bws):
             warnings.warn(
-                "Input SparselyBin histograms have inconsistent binWidth attributes: {types}".format(
-                    types=bws
-                )
+                f"Input SparselyBin histograms have inconsistent binWidth attributes: {bws}"
             )
             return False
 

popmon/resources.py

@@ -94,9 +94,7 @@ def _resource(resource_type, name: str) -> str:
         return str(full_path)
 
     raise FileNotFoundError(
-        'Could not find {resource_type} "{name!s}"! Does it exist?'.format(
-            resource_type=resource_type, name=name
-        )
+        f'Could not find {resource_type} "{name!s}"! Does it exist?'
     )
 
 

popmon/visualization/histogram_section.py

@@ -119,7 +119,7 @@ def transform(self, data_obj: dict, sections: list | None = None):
                 )
                 continue
 
-            # base64 heatmap plot for each metric
+            # heatmap plot for each metric
             dates = [short_date(date) for date in df.index[:]]
             hists = [
                 df[hist_names].iloc[-i].values
@@ -233,14 +233,14 @@ def _plot_histograms(feature, date, hc_list, hist_names, top_n, max_nbins: int =
     hist_names = [hn for i, hn in enumerate(hist_names) if i not in none_hists]
     # more basic checks
     if len(hc_list) == 0:
-        return {"name": date, "description": "", "plot": ""}
+        return {}
     assert_similar_hists(hc_list)
 
     # make plot. note: slow!
     if hc_list[0].n_dim == 1:
         if all(h.entries == 0 for h in hc_list):
             # triviality checks, skip all histograms empty
-            return {"name": date, "description": "", "plot": ""}
+            return {}
 
         props = get_hist_props(hc_list[0])
         is_num = props["is_num"]
@@ -259,7 +259,7 @@ def _plot_histograms(feature, date, hc_list, hist_names, top_n, max_nbins: int =
 
         # skip histograms with too many bins to plot (default more than 1000)
         if len(bins) > max_nbins:
-            return {"name": date, "description": "", "plot": ""}
+            return {}
 
         # normalize histograms for plotting (comparison!) in case there is more than one.
         if len(hc_list) >= 2:

popmon/visualization/utils.py

@@ -762,9 +762,7 @@ def plot_heatmap(
         values = hist_values
         assert len(labels) == len(
             values
-        ), "labels and values have different array lengths: {:d} vs {:d}. {}".format(
-            len(labels), len(values), x_label
-        )
+        ), f"labels and values have different array lengths: {len(labels):d} vs {len(values):d}. {x_label}"
 
         # plot histogram
         fig = px.imshow(

pyproject.toml

@@ -164,7 +164,8 @@ ignore = [
 ]
 
 "popmon/config.py" = [
-    "RUF012", # Mutable class attributes should be annotated with `typing.ClassVar`
+    "RUF012", # Mutable class attributes should be annotated with `typing.ClassVar`,
+    "FA100", # Missing `from __future__ import annotations`
 ]
 
 # Notebooks & NBQA