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from typing import Dict, Iterable, List
import evaluate
from .artifact import __file__ as _
from .blocks import __file__ as _
from .card import __file__ as _
from .catalog import __file__ as _
from .collections import __file__ as _
from .dataclass import __file__ as _
from .dataset_utils import __file__ as _
from .dict_utils import __file__ as _
from .eval_utils import __file__ as _
from .file_utils import __file__ as _
from .formats import __file__ as _
from .fusion import __file__ as _
from .generator_utils import __file__ as _
from .hf_utils import __file__ as _
from .instructions import __file__ as _
from .loaders import __file__ as _
from .logging_utils import __file__ as _
from .metric_utils import UNITXT_METRIC_SCHEMA
from .metric_utils import __file__ as _
from .metric_utils import _compute
from .metrics import __file__ as _
from .normalizers import __file__ as _
from .operator import __file__ as _
from .operators import __file__ as _
from .parsing_utils import __file__ as _
from .processors import __file__ as _
from .random_utils import __file__ as _
from .recipe import __file__ as _
from .register import __file__ as _
from .schema import __file__ as _
from .settings_utils import __file__ as _
from .settings_utils import get_constants
from .span_lableing_operators import __file__ as _
from .split_utils import __file__ as _
from .splitters import __file__ as _
from .standard import __file__ as _
from .stream import __file__ as _
from .struct_data_operators import __file__ as _
from .system_prompts import __file__ as _
from .task import __file__ as _
from .templates import __file__ as _
from .text_utils import __file__ as _
from .type_utils import __file__ as _
from .utils import __file__ as _
from .utils import is_package_installed
from .validate import __file__ as _
from .version import __file__ as _
constants = get_constants()
class Metric(evaluate.Metric):
calc_confidence_intervals: bool = True
VERSION = constants.version
def _info(self):
return evaluate.MetricInfo(
description="_DESCRIPTION",
citation="_CITATION",
features=UNITXT_METRIC_SCHEMA,
codebase_urls=[constants.codebase_url],
reference_urls=[constants.website_url],
)
def _compute(
self,
predictions: List[str],
references: Iterable,
flatten: bool = False,
split_name: str = "all",
):
if is_package_installed("unitxt"):
from unitxt.settings_utils import \
get_constants as installed_get_constants
installed_package_constants = installed_get_constants()
if installed_package_constants.version != self.VERSION:
raise ValueError(
f"Located installed unitxt version {installed_get_constants.version} that is different then unitxt metric version {self.VERSION}. Please make sure the installed version is identical to the dataset version."
)
from unitxt.metric_utils import _compute as _compute_installed
return _compute_installed(
predictions=predictions,
references=references,
flatten=flatten,
split_name=split_name,
calc_confidence_intervals=self.calc_confidence_intervals,
)
return _compute(
predictions=predictions,
references=references,
flatten=flatten,
split_name=split_name,
calc_confidence_intervals=self.calc_confidence_intervals,
)
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