FEAT-#6574: UserWarning no longer displayed when Series/DataFrames are small

[Jayson729]

What do these changes do?

When creating a DataFrame or Series, no longer display UserWarning: Distributing <class 'NoneType'> object. This may take some time. when the size of the DataFrame or Series is small.

• first commit message and PR title follow format outlined here

  NOTE: If you edit the PR title to match this format, you need to add another commit (even if it's empty) or amend your last commit for the CI job that checks the PR title to pick up the new PR title.

• passes flake8 modin/ asv_bench/benchmarks scripts/doc_checker.py
• passes black --check modin/ asv_bench/benchmarks scripts/doc_checker.py
• signed commit with git commit -s
• Resolves UserWarning: Distributing <class 'NoneType'> object. This may take some time. #6574
• tests added and passing
• module layout described at docs/development/architecture.rst is up-to-date

[Jayson729]

Apparently this fails this test https://github.com/modin-project/modin/blob/main/modin/tests/pandas/test_series.py#L3430-L3439 because there is no longer a UserWarning being given in this case. I think changing this test to the following would solve this and still test the same thing, although we will have to import warnings since that is not included in this file. Does this seem right?

Relevant pull request

def test_6782():
    datetime_scalar = datetime.datetime(1970, 1, 1, 0, 0)
    match = "Adding/subtracting object-dtype array to DatetimeArray not vectorized"
    with warnings.catch_warnings():
        warnings.filterwarnings("error", match, UserWarning)
        pd.Series([datetime.datetime(2000, 1, 1)]) - datetime_scalar

[anmyachev]

Does this seem right?

@Jayson729 yes, it looks great! Only the category should be different (PerformanceWarning):
https://github.com/pandas-dev/pandas/blob/c46fb76afaf98153b9eef97fc9bbe9077229e7cd/pandas/core/arrays/datetimelike.py#L1316

Note: It looks like 6782 test no longer worked as originally planned since pandas changed the warning category.

[anmyachev]

LGTM! Thanks @Jayson729!