[Formatting] New black formatting

eulerpi/core/model.py

@@ -38,12 +38,12 @@ class Model(ABC):
         Examples of model implementations can be found in the :doc:`Example Models </examples>`.
     """
 
-    param_dim: Optional[
-        int
-    ] = None  #: The dimension of the parameter space of the model. It must be defined in the subclass.
-    data_dim: Optional[
-        int
-    ] = None  #: The dimension of the data space of the model. It must be defined in the subclass.
+    param_dim: Optional[int] = (
+        None  #: The dimension of the parameter space of the model. It must be defined in the subclass.
+    )
+    data_dim: Optional[int] = (
+        None  #: The dimension of the data space of the model. It must be defined in the subclass.
+    )
 
     def __init_subclass__(cls, **kwargs):
         """Check if the required attributes are set."""

eulerpi/core/plotting.py

@@ -29,7 +29,6 @@ def sample_violin_plot(
     num_vertical_grid_points: int = 100,
     axis_labels: Optional[list[str]] = None,
 ) -> axes:
-
     """Creates an overview figure with one violin plot for each marginal distribution.
        Can be used for parameters and simulation results and compares reference (or true underlying) and inferred values when possible.
 
@@ -261,9 +260,9 @@ def sample_violin_plot(
                 reference_left_bound_konf,
                 reference_right_bound_konf,
                 color=colorOrig,
-                label=r"$\Phi_\mathcal{" + variable_name + "}$"
-                if i == 0
-                else "",
+                label=(
+                    r"$\Phi_\mathcal{" + variable_name + "}$" if i == 0 else ""
+                ),
                 alpha=0.3,
             )
 
@@ -371,9 +370,11 @@ def sample_violin_plot(
             reconstructed_left_bound_konf,
             reconstructed_right_bound_konf,
             color=colorAppr,
-            label=r"$\Phi_{\hat{\mathcal{" + variable_name + "}}}$"
-            if i == 0
-            else "",
+            label=(
+                r"$\Phi_{\hat{\mathcal{" + variable_name + "}}}$"
+                if i == 0
+                else ""
+            ),
             alpha=0.3,
         )
 

eulerpi/core/sampling.py

@@ -11,7 +11,6 @@
     Read the documentation of :func:`inference_mcmc <inference_mcmc>` to learn more about the available options for the MCMC based inference.
 """
 
-
 import typing
 from multiprocessing import get_context
 from os import path

tests/test_dense_grid.py

@@ -1,6 +1,7 @@
 """
 Test the slices functionality for each of the inference methods.
 """
+
 import numpy as np
 import pytest
 

tests/test_fixed_params.py

@@ -1,6 +1,7 @@
 """
 Test the slices functionality for each of the inference methods.
 """
+
 import importlib
 
 import pytest

tests/test_slices.py

@@ -1,6 +1,7 @@
 """
 Test the slices functionality for each of the inference methods.
 """
+
 import numpy as np
 import pytest