```import typing

import pandas as pd

import numpy as np

from flytekitplugins.pod import Pod

from kubernetes.client.models import V1Container, V1PodSpec

from flytekit import task, workflow

def generate_pod_spec_for_task():

# Primary containers do not require us to specify an image, the default image built for Flyte tasks will get used.

primary_container = V1Container(name="primary")

pod_spec = V1PodSpec(containers=[primary_container])

return pod_spec

@task(task_config=Pod(pod_spec=generate_pod_spec_for_task(), primary_container_name="primary"))

def generate_normal_df(n: int, mean: float, sigma: float) -> pd.DataFrame:

return pd.DataFrame({"numbers": np.random.normal(mean, sigma, size=n)})

@task(task_config=Pod(pod_spec=generate_pod_spec_for_task(), primary_container_name="primary"))

def compute_stats(df: pd.DataFrame) -> typing.Tuple[float, float]:

return float(df["numbers"].mean()), float(df["numbers"].std())

@workflow

def wf(n: int = 200, mean: float = 0.0, sigma: float = 1.0) -> typing.Tuple[float, float]:

return compute_stats(df=generate_normal_df(n=n, mean=mean, sigma=sigma))```