polymerist.genutils.sequences.discernment.examples
==================================================

.. py:module:: polymerist.genutils.sequences.discernment.examples

.. autoapi-nested-parse::

   Encapsulation for example input-output pairs to a DISCERNMENT problem; intended to facilitate unit testing



Attributes
----------

.. autoapisummary::

   polymerist.genutils.sequences.discernment.examples.T
   polymerist.genutils.sequences.discernment.examples.L


Classes
-------

.. autoapisummary::

   polymerist.genutils.sequences.discernment.examples.DISCERNMENTExample


Module Contents
---------------

.. py:data:: T

.. py:data:: L

.. py:class:: DISCERNMENTExample

   For encapsulating pre-made DISCERNMENT example input-output pairs


   .. py:attribute:: choice_bins
      :type:  tuple[Sequence[T], Ellipsis]


   .. py:attribute:: target_word
      :type:  Sequence[T]


   .. py:attribute:: solutions
      :type:  dict[tuple[bool, bool], set[tuple[int, Ellipsis]]]


   .. py:attribute:: INDENT
      :type:  ClassVar[int]
      :value: 4



   .. py:method:: to_json() -> dict[str, Any]

      Write contents to JSON-serializable dict



   .. py:method:: to_file(example_path: pathlib.Path) -> None

      Save this example to a JSON file



   .. py:method:: from_file(example_path: pathlib.Path) -> DISCERNMENTExample
      :classmethod:


      Load a DISCERNMENT example from a JSON file



   .. py:method:: enumerate_test_inputs() -> Generator[tuple[tuple[Sequence[T], Ellipsis], Sequence[T], bool, bool, set[tuple[int, Ellipsis]]], None, None]

      Enumerate the inputs to this example as a tuple of (choice_bins, target_word)