Bitbucket Pipelines - share pip libraries across multiple steps

Question

I am trying to store pip libraries installed in the initial step as artifacts, so that it can be reused in the parallel steps later on. Unfortunately, when "Test part 1" and "Test part 2" are executed, mentioned libraries does not exist.

Moreover, mentioned artifacts are not visible even in the Artifacts tab in Bitbucket window

image: python:3.8

options:
  max-time: 20

definitions:
  steps:
    - step: &fetch-and-build
        name: Update image
        caches:
          - pip
          - docker
        services:
          - docker
        script:
          - pip install -r requirements.txt -U
          - pip list -v
        artifacts:
          - /usr/local/lib/python3.8/**
  services:
    postgres:
      image: postgres
      memory: 512
      variables:
        POSTGRES_HOST_AUTH_METHOD: 'trust'
    redis:
      image: redis
      memory: 256
    docker:
      memory: 2048

  default:
    - step: *fetch-and-build
    - parallel:
      - step:
          name: "Test part 1"
          caches:
            - pip
            - docker
          script:
            - pip list -v
            - export COVERAGE_PROCESS_START=./.coveragerc
            - coverage run --parallel-mode --concurrency=multiprocessing --rcfile=./.coveragerc manage.py test -v 3 --parallel=5 payments
          services:
            - redis
            - postgres
            - docker
          artifacts:
            - htmlcov/**
            - htmlcov/index.html
            - coverage/.coverage
            - /usr/local/lib/python3.8/**
      - step:
            name: "Test part 2"
            caches:
              - pip
              - docker
            script:
              - export COVERAGE_PROCESS_START=./.coveragerc
              - coverage run --parallel-mode --concurrency=multiprocessing --rcfile=./.coveragerc manage.py test -v 3 --parallel=5 feed jobs
            services:
              - redis
              - postgres
              - docker
            artifacts:
              - htmlcov/**
              - htmlcov/index.html
              - coverage/.coverage
              - /usr/local/lib/python3.8/**

Answer 1

等待大神答复