` from clearml import PipelineController

pipe = PipelineController(
name="Test Pipeline Controller",
project="test_pipelines",
version="1.0.0"
)

pipe.set_default_execution_queue('cpu')

pipe.add_parameter(
name='test_parameter',
description='just a random number for testing',
default='42'
)

def step_one(test_parameter):
return int(test_parameter) * 2

def step_two(new_number):
return int(new_number) * 2

pipe.add_function_step(
name='step_one',
function=step_one,
function_kwargs=dict(test_parameter='${pipeline.test_parameter}'),
function_return=['new_number'],
cache_executed_step=False,
# packages=["./requirements.txt"],
)

pipe.add_function_step(
name='step_two',
# parents=['step_one'], # the pipeline will automatically detect the dependencies based on the kwargs inputs
function=step_two,
function_kwargs=dict(new_number='${step_one.new_number}'),
function_return=['last_number'],
cache_executed_step=False,
# packages="requirements/requirements.txt",
)

pipe.start() `this is one example. I also tried other variations withs tasks and decorators, but always had the same problem. How should I specify the requirements for each step? I played with the "packages" argument, provided both paths to req files and explicit req names but the step never installed anything