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metric.py

@@ -5,6 +5,7 @@ import datasets
 import evaluate
 from datasets import Features, Sequence, Value
 
+from ._version import __file__ as _
 from .artifact import __file__ as _
 from .blocks import __file__ as _
 from .card import __file__ as _
@@ -12,6 +13,7 @@ from .catalog import __file__ as _
 from .collections import __file__ as _
 from .common import __file__ as _
 from .dataclass import __file__ as _
+from .dict_utils import __file__ as _
 from .file_utils import __file__ as _
 from .fusion import __file__ as _
 from .generator_utils import __file__ as _
@@ -37,6 +39,7 @@ from .operators import (
 )
 from .operators import __file__ as _
 from .processors import __file__ as _
+from .random_utils import __file__ as _
 from .recipe import __file__ as _
 from .register import __file__ as _
 from .register import register_all_artifacts
@@ -115,17 +118,18 @@ UNITXT_METRIC_SCHEMA = Features({"predictions": Value("string"), "references": d
 
 
 def _compute(predictions: List[str], references: Iterable, flatten: bool = False, split_name: str = "all"):
-        recipe = MetricRecipe()
+    recipe = MetricRecipe()
 
-        multi_stream = recipe(predictions=predictions, references=references, split_name=split_name)
+    multi_stream = recipe(predictions=predictions, references=references, split_name=split_name)
 
-        if flatten:
-            operator = FlattenInstances()
-            multi_stream = operator(multi_stream)
+    if flatten:
+        operator = FlattenInstances()
+        multi_stream = operator(multi_stream)
 
-        stream = multi_stream[split_name]
+    stream = multi_stream[split_name]
+
+    return list(stream)
 
-        return list(stream)
 
 # TODO: currently we have two classes with this name. metric.Metric and matrics.Metric...
 # @evaluate.utils.file_utils.add_start_docstrings(_DESCRIPTION, _KWARGS_DESCRIPTION)