def tick_classes(request):
    """
    Fixture for Tick based datetime offsets available for a time series.
    """
    return request.param

# ----------------------------------------------------------------
# Global setup for tests using Hypothesis


# Registering these strategies makes them globally available via st.from_type,
# which is use for offsets in tests/tseries/offsets/test_offsets_properties.py 

def test_mean_properties(data, type_, strat):
    strat = strat or st.from_type(type_)
    values = data.draw(st.lists(strat, min_size=1))
    result = mean(values)  # already testing no exceptions!
    # TODO: property assertions, e.g. bounds on result, etc.
    if type_ is Fraction:
        assert min(values) <= result <= max(values)
    # What constraints make sense for an integer mean?

    # TODO: metamorphic test assertions.  For example, how should result
    # change if you add the mean to values?  a number above or below result?
    # Remove some elements from values? 

def tick_classes(request):
    """
    Fixture for Tick based datetime offsets available for a time series.
    """
    return request.param

# ----------------------------------------------------------------
# Global setup for tests using Hypothesis


# Registering these strategies makes them globally available via st.from_type,
# which is use for offsets in tests/tseries/offsets/test_offsets_properties.py 

def everything_except(
    excluded_types: Union[type, Tuple[type, ...]]
) -> st.SearchStrategy[Any]:
    """Returns hypothesis strategy that generates values of any type other than
    those specified in ``excluded_types``."""
    return (
        st.from_type(type)
        .flatmap(st.from_type)
        .filter(lambda x: not isinstance(x, excluded_types))
    ) 

def tick_classes(request):
    """
    Fixture for Tick based datetime offsets available for a time series.
    """
    return request.param

# ----------------------------------------------------------------
# Global setup for tests using Hypothesis


# Registering these strategies makes them globally available via st.from_type,
# which is use for offsets in tests/tseries/offsets/test_offsets_properties.py