…apitalone#954)

A method signature that uses *args: Any, **kwargs: Any is compatible
with any set of arguments in mypy, despite being an LSP violation. This
lets us assert that subclasses of BaseDataProcessor should have some
process() method with an arbitrary signature.

We also add to the return type of BaseDataPreprocessor so that it is
inclusive of all of its subclasses.

Co-authored-by: JGSweets <[email protected]>

Inside the BaseDataProcessor class definition, references to
__subclasses are automatically replaced with
_BaseDataProcessor__subclasses. This remains the case even in static
methods _register_subclass() and get_class(). Same with BaseModel and
its __subclasses field. So we do not have to write out the full name
mangled identifiers inside the class definitions.

Also, mypy doesn't seem to be able to handle the return type of
BaseDataProcessor.get_class() being a typevar, so that was changed to
type[BaseDataProcessor]. This does not affect the functionality of
get_class() since it always returns a subclass of BaseDataProcessor.

The mypy errors addressed here occur because variables label_mapping
(in CharPreprocessor), unstructured_labels, and unstructured_label_set
(in StructCharPreprocessor.process()) have optional types when they're
used. This is fixed by checking that they are not None prior to the
operation, which mypy recognizes as removing the None type from them.

This should have no effect on functionality because we are already
checking that labels is not None, and the variables above all depend on
labels such that they are None only if labels is None.

capitalone#965)

* Changed release option to only release branches named \'release/<version-tag>\'.

* Reverted types

capitalone#959)

* abstracted rng creation 23/07/11 14:32

* updated profile_builder random number generation

* renamed dp_rng() to get_random_number_generator()

* updated data_utils random number generation, added warning back to get_random_number_generator()

* removed erroneous print statement

* added tests of get_random_number_generator() to test_data_utils and test_utils

* removed unnecessary int dtype conversion

* edited seed declaration statement

* added setUp function to get_random_number_generator() testing

* fixed duplicate variable declaration in test_data_utils.py and test_utils.py

* moved generator function to root of dataprofiler dir; added test_generator.py; reverted test_data_utils and test_utils

* moved and renamed utils_global; cleaned up unused imports

* additional tests of get_random_number_generator()

* added test of utils_global for DATAPROFILER_SEED not in os.environ and settings._seed==None

* added the last four unit tests in Taylors requested changes to test_utils_global.py

* removed unneeded tests and declarations; changed to relative imports; updated assertWarnsRegex in test_utils_global

* changed two more imports to relative imports

* updated rng.integers call

* removed unnecessary slicing/indexing

* removed unnecessary slicing/indexing

* cleaned up os.environ mocks in test_utils_global

* mocked expected values in unit tests

* simplified mocks

* removed unnecessary test

* added more descriptive mock names; ensured that rng generator uses proper seed

* cleaned up mock names; improved docstrings

* removed unnecessary clear=True clauses; removed duplicate assert statement

* made clear=True statements consistent

* removed one variable declaration; added clear=True to one mock

* removed clear=True statement

* removed unused imports and variable declarations

* renamed utils_global -> rng_utils and corresponding test; renamed utils.py -> profiler_utils.py and corresponding test

* fixed import error

* renamed utils.py and utils_global.py

* replaced imports of profilers.utils with profilers.profiler_utils