Sharing conda environments over Git: What are the best practices?

When multiple people are working on Python project with Git, what is the best way to ensure that the local Conda environments have identical package sets installed?

So far I use

conda env export > conda_env.yml

for recording the environment and

conda env update --file conda_env.yml  --prune

for synchronizing an environment.

To verify that the local environment matches the contents of conda_env.yml, I have the following test:

def test_conda_environment():
    """Compares output of ``conda env export`` with the contents of ``conda_env.yml``. """

    # execute 'conda env export' and parse yaml output:
    cmd_result = run(['conda', 'env', 'export'], capture_output=True)
    d0 = yaml.safe_load(cmd_result.stdout.decode('utf-8'))

    # read saved conda environment from yaml file:
    fn = Path('..') / 'conda_env.yml'
    with open(fn, 'rt') as fp:
        d1 = yaml.safe_load(fp)

    # Compare the two dictionaries:
    if d0['channels'] != d1['channels']:
        print(f"Conda channels differ (current vs '{fn}'): " +
              f"{d0['channels']} vs {d0['channels']}")

    s0, s1 = sorted(d0['dependencies']), sorted(d1['dependencies'])
    if s0 != s1:
        df = difflib.Differ()
        ds = df.compare(s0, s1)
        ts = f"Differences of current environment (+) and file '{fn}' (-):"
        print("\n" + ts)
        print('=' * len(ts))
        print('\n'.join(l_ for l_ in ds if not l_.startswith(' ')))
        assert False  # fail test

Is there a more straightforward way?