when working with breeze I saw these warnings many times in the logs:

 ```
 =============================== warnings summary ===============================
  tests/providers/amazon/aws/log/test_cloudwatch_task_handler.py::TestCloudwatchTaskHandler::test_close_prevents_duplicate_calls
    /usr/local/lib/python3.6/site-packages/jose/backends/cryptography_backend.py:18: CryptographyDeprecationWarning: int_from_bytes is deprecated, use int.from_bytes instead
      from cryptography.utils import int_from_bytes, int_to_bytes
      
 tests/always/test_example_dags.py::TestExampleDags::test_should_be_importable
    /usr/local/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject
      return f(*args, **kwds)
  
  tests/always/test_example_dags.py::TestExampleDags::test_should_be_importable
    /usr/local/lib/python3.6/site-packages/scrapbook/__init__.py:8: FutureWarning: 'nteract-scrapbook' package has been renamed to `scrapbook`. No new releases are going out for this old package name.
      warnings.warn("'nteract-scrapbook' package has been renamed to `scrapbook`. No new releases are going out for this old package name.", FutureWarning)
```
     
setup.py
'apache.hive',
    'apache.pinot',
    'cloudant',
    'exasol',
    'microsoft.mssql',
    'mongo',
    'mysql',
    'neo4j',
    'postgres',
    'presto',
    'trino',
    'vertica',
]
all_dbs = list({req for db_provider in ALL_DB_PROVIDERS for req in PROVIDERS_REQUIREMENTS[db_provider]})
_all_requirements = list({req for extras_reqs in EXTRAS_REQUIREMENTS.values() for req in extras_reqs})
EXTRAS_REQUIREMENTS["all"] = _all_requirements
EXTRAS_REQUIREMENTS["all_dbs"] = all_dbs
devel_all = list(set(_all_requirements + doc + devel_minreq + devel_hadoop))
PACKAGES_EXCLUDED_FOR_ALL = []
PACKAGES_EXCLUDED_FOR_ALL.extend(
    [
        'snakebite',
    ]
)
#
#
PACKAGES_EXCLUDED_FOR_CI = [
    'apache-beam',
]
def is_package_excluded(package: str, exclusion_list: List[str]):