How to use the opentelemetry-api.src.opentelemetry.trace.sampling.Sampler function in opentelemetry-api

def __init__(self, decision: "Decision"):
        self._decision = decision

    def should_sample(
        self,
        parent_context: Optional["SpanContext"],
        trace_id: int,
        span_id: int,
        name: str,
        attributes: Optional[Attributes] = None,
        links: Sequence["Link"] = (),
    ) -> "Decision":
        return self._decision


class ProbabilitySampler(Sampler):
    def __init__(self, rate: float):
        self._rate = rate
        self._bound = self.get_bound_for_rate(self._rate)

    # The sampler checks the last 8 bytes of the trace ID to decide whether to
    # sample a given trace.
    CHECK_BYTES = 0xFFFFFFFFFFFFFFFF

    @classmethod
    def get_bound_for_rate(cls, rate: float) -> int:
        return round(rate * (cls.CHECK_BYTES + 1))

    @property
    def rate(self) -> float:
        return self._rate

class Sampler(abc.ABC):
    @abc.abstractmethod
    def should_sample(
        self,
        parent_context: Optional["SpanContext"],
        trace_id: int,
        span_id: int,
        name: str,
        attributes: Optional[Attributes] = None,
        links: Sequence["Link"] = (),
    ) -> "Decision":
        pass


class StaticSampler(Sampler):
    """Sampler that always returns the same decision."""

    def __init__(self, decision: "Decision"):
        self._decision = decision

    def should_sample(
        self,
        parent_context: Optional["SpanContext"],
        trace_id: int,
        span_id: int,
        name: str,
        attributes: Optional[Attributes] = None,
        links: Sequence["Link"] = (),
    ) -> "Decision":
        return self._decision