"""Test stuff on ordered choices-based spaces."""
from typing import Any, Callable, Iterable, cast
import numpy as np
from numpy.random import Generator, default_rng
from pycommons.types import type_error
from moptipy.api.operators import Op0
from moptipy.spaces.ordered_choices import OrderedChoices
from moptipy.tests.op0 import validate_op0
[docs]
def choices_for_tests(
choice_filter: Callable[[OrderedChoices], bool] | None = None) \
-> Iterable[OrderedChoices]:
"""
Get a sequence of ordered choices for tests.
:param choice_filter: an optional filter to sort out ordered choices we
cannot use for testing
:returns: the sequence of ordered choices
"""
r = default_rng()
pwrs: list[OrderedChoices] = [
OrderedChoices([[1], [2]]),
OrderedChoices([[1], [2], [3]]),
OrderedChoices([[1], [2, 4], [3]]),
OrderedChoices.signed_permutations(1),
OrderedChoices.signed_permutations(2),
OrderedChoices.signed_permutations(10)]
for _i in range(4):
done: set[int] = set()
created: list[list[int]] = []
choices: list[list[int]] = []
while (len(choices) <= 0) or (len(done) < 2) or (r.integers(6) > 0):
if r.integers(2) <= 0 < len(created):
choices.append(created[r.integers(len(created))])
else:
picked: list[int] = []
while (len(picked) <= 0) or (r.integers(6) > 0):
cc = r.integers(-100, 100)
while cc in done:
cc += 1
done.add(cc)
picked.append(int(cc))
choices.append(picked)
created.append(picked)
pwrs.append(OrderedChoices(choices))
if choice_filter is not None:
if not callable(choice_filter):
raise type_error(choice_filter, "choice_filter", None, call=True)
pwrs = [p for p in pwrs if choice_filter(p)]
r.shuffle(cast(list, pwrs))
return pwrs
[docs]
def make_choices_valid(choices: OrderedChoices) -> \
Callable[[Generator, np.ndarray], np.ndarray]:
"""
Create a function that can make ordered choices valid.
:param choices: the ordered choices
:returns: the function
"""
def __make_valid(prnd: Generator, x: np.ndarray,
bb=choices.blueprint,
cc=choices.choices.__getitem__) -> np.ndarray:
np.copyto(x, bb)
prnd.shuffle(x)
for i, e in enumerate(x):
ff = cc(e)
x[i] = ff[prnd.integers(len(ff))]
return x
return __make_valid
[docs]
def validate_op0_on_1_choices(
op0: Op0 | Callable[[OrderedChoices], Op0],
search_space: OrderedChoices,
number_of_samples: int | None = None,
min_unique_samples: int | Callable[[
int, OrderedChoices], int] | None = None) -> None:
"""
Validate the nullary operator on one `OrderedChoices` instance.
:param op0: the operator or operator factory
:param search_space: the search space
:param number_of_samples: the optional number of samples
:param min_unique_samples: the optional unique samples
"""
args: dict[str, Any] = {
"op0": op0(search_space) if callable(op0) else op0,
"search_space": search_space,
"make_search_space_element_valid":
make_choices_valid(search_space),
}
if number_of_samples is not None:
args["number_of_samples"] = number_of_samples
if min_unique_samples is not None:
args["min_unique_samples"] = min_unique_samples
validate_op0(**args)
[docs]
def validate_op0_on_choices(
op0: Op0 | Callable[[OrderedChoices], Op0],
number_of_samples: int | None = None,
min_unique_samples: int | Callable[[
int, OrderedChoices], int] | None = None,
choice_filter: Callable[[OrderedChoices], bool] | None = None) \
-> None:
"""
Validate the nullary operator on several `OrderedChoices` instances.
:param op0: the operator or operator factory
:param number_of_samples: the optional number of samples
:param min_unique_samples: the optional unique samples
:param choice_filter: an optional filter to sort out ordered choices we
cannot use for testing
"""
for choices in choices_for_tests(choice_filter):
validate_op0_on_1_choices(op0, choices, number_of_samples,
min_unique_samples)