# SPDX-License-Identifier: MIT
# Copyright (C) 2022 Max Bachmann
from __future__ import annotations
import sys
from math import isnan
from typing import Any, Callable
pandas_NA = None
def setupPandas():
global pandas_NA # noqa: PLW0603
if pandas_NA is None:
pandas = sys.modules.get("pandas")
if hasattr(pandas, "NA"):
pandas_NA = pandas.NA
setupPandas()
class ScorerFlag:
RESULT_F64 = 1 << 5
RESULT_I64 = 1 << 6
RESULT_SIZE_T = 1 << 7
SYMMETRIC = 1 << 11
def _get_scorer_flags_distance(**_kwargs: Any) -> dict[str, Any]:
return {
"optimal_score": 0,
"worst_score": 2**63 - 1,
"flags": ScorerFlag.RESULT_SIZE_T | ScorerFlag.SYMMETRIC,
}
def _get_scorer_flags_similarity(**_kwargs: Any) -> dict[str, Any]:
return {
"optimal_score": 2**63 - 1,
"worst_score": 0,
"flags": ScorerFlag.RESULT_SIZE_T | ScorerFlag.SYMMETRIC,
}
def _get_scorer_flags_normalized_distance(**_kwargs: Any) -> dict[str, Any]:
return {
"optimal_score": 0,
"worst_score": 1,
"flags": ScorerFlag.RESULT_F64 | ScorerFlag.SYMMETRIC,
}
def _get_scorer_flags_normalized_similarity(**_kwargs: Any) -> dict[str, Any]:
return {
"optimal_score": 1,
"worst_score": 0,
"flags": ScorerFlag.RESULT_F64 | ScorerFlag.SYMMETRIC,
}
def is_none(s: Any) -> bool:
if s is None or s is pandas_NA:
return True
if isinstance(s, float) and isnan(s):
return True
return False
def add_scorer_attrs(func: Any, cached_scorer_call: dict[str, Callable[..., dict[str, Any]]]):
func._RF_ScorerPy = cached_scorer_call
# used to detect the function hasn't been wrapped afterwards
func._RF_OriginalScorer = func
default_distance_attribute: dict[str, Callable[..., dict[str, Any]]] = {"get_scorer_flags": _get_scorer_flags_distance}
default_similarity_attribute: dict[str, Callable[..., dict[str, Any]]] = {
"get_scorer_flags": _get_scorer_flags_similarity
}
default_normalized_distance_attribute: dict[str, Callable[..., dict[str, Any]]] = {
"get_scorer_flags": _get_scorer_flags_normalized_distance
}
default_normalized_similarity_attribute: dict[str, Callable[..., dict[str, Any]]] = {
"get_scorer_flags": _get_scorer_flags_normalized_similarity
}