Fixes for issues identified by pre-commit

As usual, I should probably ignore pylance given it has so many false
positives

Author: raymondEhlers

src/pachyderm/fit/base.py

@@ -403,7 +403,7 @@ def func_wrap(args_to_vary: Sequence[float], x: npt.NDArray[Any]) -> float:
     #       parameters. So we just accept the inefficiency.
     partial_derivative_result: npt.NDArray[Any] = partial_derivative_func(list(args_at_minimum.values()), x)
     end = time.time()
-    logger.debug(f"Finished calculating the gradient in {end-start} seconds.")
+    logger.debug(f"Finished calculating the gradient in {end - start} seconds.")
 
     # If we are only in 1D, we need to promote to a 2D (shape of 1D, 1) to get the indexing correct below.
     # This only occurs if we only have one parameter that is varied.

src/pachyderm/histogram.py

@@ -191,9 +191,7 @@ def _extract_values_from_hepdata_dependent_variable(var: Mapping[str, Any]) -> T
 
     # Validate the collected values.
     if len(hist_stat_errors) == 0:
-        msg = (
-            f"Could not retrieve statistical errors for dependent var {var}.\n" f" hist_stat_errors: {hist_stat_errors}"
-        )
+        msg = f"Could not retrieve statistical errors for dependent var {var}.\n hist_stat_errors: {hist_stat_errors}"
         raise ValueError(msg)
     if len(hist_values) != len(hist_stat_errors):
         msg = (
@@ -546,7 +544,7 @@ def _integral(
         # Provide the opportunity to scale by bin width
         widths = np.ones(len(self.y))
         if multiply_by_bin_width:
-            widths = self.bin_widths
+            widths = self.bin_widths  # type: ignore[assignment]
 
         # Integrate by summing up all of the bins and the errors.
         # Perform the integral.
@@ -813,7 +811,7 @@ def from_hepdata(
         Returns:
             List of Histogram1D constructed from the input HEPdata.
         """
-        # HEP Data is just a map containing the data.
+        # HEPData is just a map containing the data.
         if not isinstance(hist, collections.abc.Mapping):
             msg = f"Does not appear to be valid HEPdata. Must pass a map with the HEPdata information. Passed: {hist}"  # type: ignore[unreachable]
             raise TypeError(msg)

tests/test_histogram.py

@@ -571,9 +571,9 @@ def test_get_array_from_hist2D(self, use_bin_edges, set_zero_to_NaN, test_root_h
 
 
 @pytest.fixture
-def setup_basic_hist() -> (
-    tuple[histogram.Histogram1D, npt.NDArray[np.float64], npt.NDArray[np.float64], npt.NDArray[np.float64]]
-):
+def setup_basic_hist() -> tuple[
+    histogram.Histogram1D, npt.NDArray[np.float64], npt.NDArray[np.float64], npt.NDArray[np.float64]
+]:
     """Setup a basic `Histogram1D` for basic tests.
 
     This histogram contains 4 bins, with edges of [0, 1, 2, 3, 5], values of [2, 2, 3, 0], with
@@ -1247,7 +1247,7 @@ def test_convert_HEPdata_hist() -> None:
     hepdata_path = Path(__file__).parent / "testFiles" / "pionHadron.yaml"
     print(hepdata_path)
 
-    # Load the HEP data.
+    # Load the HEPdata.
     from pachyderm import yaml
 
     y = yaml.yaml()