[no ci] Formatting: escaped space only in raw strings

Author: vpratz

bayesflow/approximators/__init__.py

@@ -1,4 +1,4 @@
-"""
+r"""
 A collection of :py:class:`~bayesflow.approximators.Approximator`\ s, which embody the inference task and the
 neural network components used to perform it.
 """

bayesflow/datasets/__init__.py

@@ -1,4 +1,4 @@
-"""
+r"""
 A collection of `keras.utils.PyDataset <https://keras.io/api/utils/python_utils/#pydataset-class>`__\ s, which
 wrap your data-generating process (i.e., your :py:class:`~bayesflow.simulators.Simulator`) and thus determine the
 effective training strategy (e.g., online or offline).

bayesflow/distributions/__init__.py

@@ -1,4 +1,4 @@
-"""
+r"""
 A collection of :py:class:`~bayesflow.distributions.Distribution`\ s,
 which represent the latent space for :py:class:`~bayesflow.networks.InferenceNetwork`\ s
 or the summary space of :py:class:`~bayesflow.networks.SummaryNetwork`\ s.

bayesflow/metrics/__init__.py

@@ -1,4 +1,4 @@
-"""
+r"""
 A collection of `keras.Metric <https://keras.io/api/metrics/base_metric/#metric-class>`__\ s for evaluating the
 performance of models.
 """

bayesflow/networks/__init__.py

@@ -1,4 +1,4 @@
-"""
+r"""
 A rich collection of neural network architectures for use in :py:class:`~bayesflow.approximators.Approximator`\ s.
 
 The module features inference networks (IN), summary networks (SN), as well as general purpose networks.

bayesflow/scores/scoring_rule.py

@@ -155,7 +155,7 @@ def get_head(self, key: str, output_shape: Shape) -> keras.Sequential:
         return keras.Sequential([subnet, dense, reshape, link])
 
     def score(self, estimates: dict[str, Tensor], targets: Tensor, weights: Tensor) -> Tensor:
-        """Scores a batch of probabilistic estimates of distributions based on samples
+        r"""Scores a batch of probabilistic estimates of distributions based on samples
         of the corresponding distributions.
 
         Parameters