Fix linter issues (#233)

sdks/python/src/opik/api_objects/span.py

@@ -218,6 +218,7 @@ class SpanData:
     """
     The SpanData object is returned when calling :func:`opik.opik_context.get_current_span_data` from a tracked function.
     """
+
     trace_id: str
     id: str = dataclasses.field(default_factory=helpers.generate_id)
     parent_span_id: Optional[str] = None

sdks/python/src/opik/api_objects/trace.py

@@ -199,6 +199,7 @@ class TraceData:
     """
     The TraceData object is returned when calling :func:`opik.opik_context.get_current_trace_data` from a tracked function.
     """
+
     id: str = dataclasses.field(default_factory=helpers.generate_id)
     name: Optional[str] = None
     start_time: Optional[datetime.datetime] = dataclasses.field(

sdks/python/src/opik/evaluation/metrics/__init__.py

@@ -26,5 +26,5 @@
     "Moderation",
     "RegexMatch",
     "MetricComputationError",
-    "BaseMetric"
+    "BaseMetric",
 ]

sdks/python/src/opik/evaluation/metrics/base_metric.py

@@ -8,26 +8,27 @@ class BaseMetric(abc.ABC):
     """
     Abstract base class for all metrics. When creating a new metric, you should inherit
     from this class and implement the abstract methods.
-    
+
     Args:
         name: The name of the metric.
 
     Example:
         >>> from opik.evaluation.metrics import base_metric, score_result
-        >>> 
+        >>>
         >>> class MyCustomMetric(base_metric.BaseMetric):
         >>>     def __init__(self, name: str):
         >>>         self.name = name
-        >>> 
+        >>>
         >>>     def score(self, input: str, output: str, **ignored_kwargs: Any):
         >>>         # Add you logic here
-        >>> 
+        >>>
         >>>         return score_result.ScoreResult(
         >>>             value=0,
         >>>             name=self.name,
         >>>             reason="Optional reason for the score"
         >>>         )
     """
+
     def __init__(self, name: str) -> None:
         self.name = name