Added all_samples to csv dataset classes

bob/bio/base/database/csv_dataset.py

@@ -326,6 +326,26 @@ class CSVDatasetDevEval:
             group=group, purpose="probe", group_by_subject=False
         )
 
+    def all_samples(self, groups=None):
+        """
+        Reads and returns all the samples in `groups`.
+
+        Parameters
+        ----------
+        groups: list or None
+            Groups to consider, or all groups if `None` is given.
+        """
+        # Get train samples (background_model_samples returns a list of samples)
+        samples = self.background_model_samples()
+
+        # Get enroll and probe samples
+        groups = ["dev", "eval"] if not groups else groups
+        for group in groups:
+            for purpose in ("enroll", "probe"):
+                label = f"{group}_{purpose}_csv"
+                samples.append(self.csv_to_sample_loader(self.__dict__[label]))
+        return samples
+
 
 class CSVDatasetCrossValidation:
     """
@@ -456,6 +476,26 @@ class CSVDatasetCrossValidation:
     def probes(self, group="dev"):
         return self._load_from_cache("dev_probe_csv")
 
+    def all_samples(self, groups=None):
+        """
+        Reads and returns all the samples in `groups`.
+
+        Parameters
+        ----------
+        groups: list or None
+            Groups to consider, or all groups if `None` is given.
+        """
+        # Get train samples (background_model_samples returns a list of samples)
+        samples = self.background_model_samples()
+
+        # Get enroll and probe samples
+        groups = ["dev", "eval"] if not groups else groups
+        for group in groups:
+            for purpose in ("enroll", "probe"):
+                label = f"{group}_{purpose}_csv"
+                samples.append(self.csv_to_sample_loader(self.__dict__[label]))
+        return samples
+
 
 def group_samples_by_subject(samples):