How to use the opentelemetry-sdk.src.opentelemetry.sdk.trace.SpanProcessor function in opentelemetry-sdk

Args:
            spans: The list of `opentelemetry.trace.Span` objects to be exported

        Returns:
            The result of the export
        """

    def shutdown(self) -> None:
        """Shuts down the exporter.

        Called when the SDK is shut down.
        """


class SimpleExportSpanProcessor(SpanProcessor):
    """Simple SpanProcessor implementation.

    SimpleExportSpanProcessor is an implementation of `SpanProcessor` that
    passes ended spans directly to the configured `SpanExporter`.
    """

    def __init__(self, span_exporter: SpanExporter):
        self.span_exporter = span_exporter

    def on_start(self, span: Span) -> None:
        pass

    def on_end(self, span: Span) -> None:
        with Context.use(suppress_instrumentation=True):
            try:
                self.span_exporter.export((span,))

def on_start(self, span: Span) -> None:
        pass

    def on_end(self, span: Span) -> None:
        with Context.use(suppress_instrumentation=True):
            try:
                self.span_exporter.export((span,))
            # pylint: disable=broad-except
            except Exception:
                logger.exception("Exception while exporting Span.")

    def shutdown(self) -> None:
        self.span_exporter.shutdown()


class BatchExportSpanProcessor(SpanProcessor):
    """Batch span processor implementation.

    BatchExportSpanProcessor is an implementation of `SpanProcessor` that
    batches ended spans and pushes them to the configured `SpanExporter`.
    """

    def __init__(
        self,
        span_exporter: SpanExporter,
        max_queue_size: int = 2048,
        schedule_delay_millis: float = 5000,
        max_export_batch_size: int = 512,
    ):
        if max_queue_size <= 0:
            raise ValueError("max_queue_size must be a positive integer.")