Source code for gemseo.core.data_converters.simple

# Copyright 2021 IRT Saint Exupéry, https://www.irt-saintexupery.com
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License version 3 as published by the Free Software Foundation.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
# Lesser General Public License for more details.
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"""Data values to NumPy arrays and vice versa from a :class:`.SimpleGrammar`."""

from __future__ import annotations

from typing import TYPE_CHECKING
from typing import Any
from typing import ClassVar

from numpy import ndarray

from gemseo.core.data_converters.base import BaseDataConverter

if TYPE_CHECKING:
    from gemseo.core.grammars.simple_grammar import SimpleGrammar  # noqa: F401
    from gemseo.typing import NumberArray


[docs] class SimpleGrammarDataConverter(BaseDataConverter["SimpleGrammar"]): """Data values to NumPy arrays and vice versa from a :class:`.SimpleGrammar`. .. warning:: Since :class:`.SimpleGrammar` cannot make a distinction between the types of data in a NumPy array, it is assumed that those types are numeric and can differentiate. You may use another type of grammar if the distinction is needed. """ _IS_CONTINUOUS_TYPES: ClassVar[tuple[type, ...]] = (float, complex) _IS_NUMERIC_TYPES: ClassVar[tuple[type, ...]] = (int, *_IS_CONTINUOUS_TYPES) def _has_type(self, name: str, types: tuple[type, ...]) -> bool: # noqa: D102 element_type = self._grammar[name] return element_type is not None and ( issubclass(element_type, ndarray) or element_type in types ) def _convert_array_to_value(self, name: str, array: NumberArray) -> Any: # noqa: D102 if self._grammar[name] in self._NUMERIC_TYPES: return array[0] return array