[black]fy

bob/bio/base/mixins/legacy.py

@@ -17,6 +17,7 @@ import logging
 import os
 import bob.io.base
 import functools
+
 logger = logging.getLogger(__name__)
 
 
@@ -28,18 +29,21 @@ def scikit_to_bob_supervised(X, Y):
     """
 
     # TODO: THIS IS VERY INNEFICI
-    logger.warning("INEFFICIENCY WARNING. HERE YOU ARE USING A HACK FOR USING BOB ALGORITHMS IN SCIKIT LEARN PIPELINES. \
-                    WE RECOMMEND YOU TO PORT THIS ALGORITHM. DON'T BE LAZY :-)")
+    logger.warning(
+        "INEFFICIENCY WARNING. HERE YOU ARE USING A HACK FOR USING BOB ALGORITHMS IN SCIKIT LEARN PIPELINES. \
+                    WE RECOMMEND YOU TO PORT THIS ALGORITHM. DON'T BE LAZY :-)"
+    )
 
     bob_output = dict()
-    for x,y in zip(X, Y):
+    for x, y in zip(X, Y):
         if y in bob_output:
             bob_output[y] = numpy.vstack((bob_output[y], x.data))
         else:
             bob_output[y] = x.data
-    
+
     return [bob_output[k] for k in bob_output]
 
+
 class LegacyProcessorMixin(TransformerMixin):
     """Class that wraps :py:class:`bob.bio.base.preprocessor.Preprocessor` and
     :py:class:`bob.bio.base.extractor.Extractors`
@@ -88,7 +92,9 @@ class LegacyProcessorMixin(TransformerMixin):
 
 
 from bob.pipelines.mixins import CheckpointMixin, SampleMixin
-class LegacyAlgorithmMixin(CheckpointMixin,SampleMixin,BaseEstimator):
+
+
+class LegacyAlgorithmMixin(CheckpointMixin, SampleMixin, BaseEstimator):
     """Class that wraps :py:class:`bob.bio.base.algorithm.Algoritm`
     
     :py:method:`LegacyAlgorithmrMixin.fit` maps to :py:method:`bob.bio.base.algorithm.Algoritm.train_projector`
@@ -122,9 +128,8 @@ class LegacyAlgorithmMixin(CheckpointMixin,SampleMixin,BaseEstimator):
         self.instance = None
         self.projector_file = None
 
-
     def fit(self, X, y=None, **fit_params):
-        
+
         self.projector_file = os.path.join(self.model_path, "Projector.hdf5")
         if os.path.exists(self.projector_file):
             return self
@@ -146,12 +151,11 @@ class LegacyAlgorithmMixin(CheckpointMixin,SampleMixin,BaseEstimator):
         return self
 
     def transform(self, X):
-
         def _project_save_sample(sample):
             # Project
             projected_data = self.instance.project(sample.data)
 
-            #Checkpointing
+            # Checkpointing
             path = self.make_path(sample)
             bob.io.base.create_directories_safe(os.path.dirname(path))
             f = bob.io.base.HDF5File(path, "w")
@@ -191,11 +195,11 @@ class LegacyAlgorithmMixin(CheckpointMixin,SampleMixin,BaseEstimator):
 
 
 def get_reader(reader, path):
-    if(is_picklable(reader)):
+    if is_picklable(reader):
         return functools.partial(reader, path)
     else:
         logger.warning(
-                    f"The method {reader} is not picklable. Shiping its unbounded method to `DelayedSample`."
-                )
+            f"The method {reader} is not picklable. Shiping its unbounded method to `DelayedSample`."
+        )
         reader = reader.__func__  # The reader object might not be picklable
         return functools.partial(reader, None, path)

bob/bio/base/mixins/pca.py

@@ -21,6 +21,7 @@ class SamplePCA(SampleMixin, PCA):
     """
     Enables SAMPLE handling for https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html
     """
+
     pass
 
 
@@ -28,4 +29,5 @@ class CheckpointSamplePCA(CheckpointMixin, SampleMixin, PCA):
     """
     Enables SAMPLE and CHECKPOINTIN handling for https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html
     """
+
     pass