Specify globals and locals in Python Docker sdk

Question

This is an educational question.

I've read multiple times that python's eval has multiple security threats and that it should be avoided as much as possible. Then I opted for a containerized execution using docker sdk.

Here's a simplified, dummy snippet to illustrate my approach

import docker

# Define the generated code as a string
generated_code = """
result = int(n) ** int(p)
print(result)
"""

# Define the values for the variables n and p
n = 2
p = 3

# Create a Docker client
client = docker.from_env()

# Define a Docker image to use as the execution environment
image_name = "python:latest"

# Create a container and run the generated code within it
container = client.containers.run(
    image=image_name,
    command=["python", "-c", generated_code],
    # environment={"n": str(n), "p": str(p)}, # <-- this does not work :(
    detach=False,
)

# Print the container's output
print(container.decode())

Since I have no control over the code, I would like to specify an environment (meaning both libs and variables) the way I would with eval when calling it like this: eval(code, environment). Is there a way to do this with docker sdk ?

EDIT: Is preparing an image with the required environment and uploading it to dockerhub the only solution to this ?