

"""simple docstring"""


import json
from typing import Iterator, List, Union

from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing





class     snake_case	(				__snake_case  ):

				def __init__(	self							:				Optional[Any]     ,  UpperCamelCase__							:				str = "▁"     ,  UpperCamelCase__							:				bool = True     ,  UpperCamelCase__							:				Union[str, AddedToken] = "<unk>"     ,  UpperCamelCase__							:				Union[str, AddedToken] = "</s>"     ,  UpperCamelCase__							:				Union[str, AddedToken] = "<pad>"     ,  )->   Union[str, Any]:



						'''simple docstring'''


						__lowerCAmelCase:       Optional[Any]          =			{
						    "pad": {"id": 0, "token": pad_token},
						    "eos": {"id": 1, "token": eos_token},
						    "unk": {"id": 2, "token": unk_token},
						}

						__lowerCAmelCase:       Union[str, Any]          =			[None] * len(self.special_tokens)
						for token_dict in self.special_tokens.values():
								__lowerCAmelCase:       List[Any]          =			token_dict["token"]

						__lowerCAmelCase:       Dict          =			Tokenizer(Unigram())

						__lowerCAmelCase:       Optional[int]          =			normalizers.Sequence(
						    [
						        normalizers.Nmt(),
						        normalizers.NFKC(),
						        normalizers.Replace(Regex(" {2,}")     ,  " "),
						        normalizers.Lowercase(),
						    ])
						__lowerCAmelCase:       Union[str, Any]          =			pre_tokenizers.Sequence(
						    [
						        pre_tokenizers.Metaspace(replacement=UpperCamelCase__     ,  add_prefix_space=UpperCamelCase__),
						        pre_tokenizers.Digits(individual_digits=UpperCamelCase__),
						        pre_tokenizers.Punctuation(),
						    ])
						__lowerCAmelCase:       Tuple          =			decoders.Metaspace(replacement=UpperCamelCase__     ,  add_prefix_space=UpperCamelCase__)

						__lowerCAmelCase:       int          =			TemplateProcessing(
						    single=f"$A {self.special_tokens['eos']['token']}"     ,  special_tokens=[(self.special_tokens["eos"]["token"], self.special_tokens["eos"]["id"])]     ,  )

						__lowerCAmelCase:       Union[str, Any]          =			{
						    "model": "SentencePieceUnigram",
						    "replacement": replacement,
						    "add_prefix_space": add_prefix_space,
						}

						super().__init__(UpperCamelCase__     ,  UpperCamelCase__)

				def 							lowercase_     (	self							:				Dict     ,  UpperCamelCase__							:				Union[str, List[str]]     ,  UpperCamelCase__							:				int = 8_0_0_0     ,  UpperCamelCase__							:				bool = True     ,  )->   str:



						'''simple docstring'''


						__lowerCAmelCase:       Union[str, Any]          =			trainers.UnigramTrainer(
						    vocab_size=UpperCamelCase__     ,  special_tokens=self.special_tokens_list     ,  show_progress=UpperCamelCase__     ,  )

						if isinstance(UpperCamelCase__     ,  UpperCamelCase__):
								__lowerCAmelCase:       str          =			[files]
						self._tokenizer.train(UpperCamelCase__     ,  trainer=UpperCamelCase__)

						self.add_unk_id()

				def 							lowercase_     (	self							:				List[Any]     ,  UpperCamelCase__							:				Union[Iterator[str], Iterator[Iterator[str]]]     ,  UpperCamelCase__							:				int = 8_0_0_0     ,  UpperCamelCase__							:				bool = True     ,  )->   Union[str, Any]:



						'''simple docstring'''


						__lowerCAmelCase:       Dict          =			trainers.UnigramTrainer(
						    vocab_size=UpperCamelCase__     ,  special_tokens=self.special_tokens_list     ,  show_progress=UpperCamelCase__     ,  )

						self._tokenizer.train_from_iterator(UpperCamelCase__     ,  trainer=UpperCamelCase__)

						self.add_unk_id()




				def 							lowercase_     (	self							:				int)->   List[str]:



						'''simple docstring'''


						__lowerCAmelCase:       List[str]          =			json.loads(self._tokenizer.to_str())

						__lowerCAmelCase:       Union[str, Any]          =			self.special_tokens["unk"]["id"]

						__lowerCAmelCase:       Any          =			Tokenizer.from_str(json.dumps(UpperCamelCase__))





"""simple docstring"""


import pytest

from datasets import inspect_metric, list_metrics, load_metric






@pytest.fixture
def     a__    (    __SCREAMING_SNAKE_CASE )	->	Union[str, Any]:
		monkeypatch.setattr("datasets.utils.deprecation_utils._emitted_deprecation_warnings"					, set() )






@pytest.fixture
def     a__    (    __SCREAMING_SNAKE_CASE )	->	str:





		class     snake_case	:

						def __init__(	self							:				int     ,  UpperCamelCase__							:				Optional[int])->   Union[str, Any]:



								'''simple docstring'''


								__lowerCAmelCase:       str          =			metric_id





		class     snake_case	:
						SCREAMING_SNAKE_CASE_   :      List[Any]         =  [MetricMock(__snake_case  ) for metric_id in ["""accuracy""", """mse""", """precision""", """codeparrot/apps_metric"""]]

						def 							lowercase_     (	self							:				Tuple)->   Union[str, Any]:



								'''simple docstring'''


								return self._metrics


		monkeypatch.setattr("datasets.inspect.huggingface_hub"					, HfhMock() )






@pytest.mark.parametrize(
    "func, args"					, [(load_metric, ("metrics/mse",)), (list_metrics, ()), (inspect_metric, ("metrics/mse", "tmp_path"))] )
def     a__    (    __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE )	->	Optional[Any]:
		if "tmp_path" in args:
				__lowerCAmelCase:       Tuple          =			tuple(arg if arg != "tmp_path" else tmp_path for arg in args )
		with pytest.warns(__SCREAMING_SNAKE_CASE					, match="https://huggingface.co/docs/evaluate" ):
				func(*__SCREAMING_SNAKE_CASE )


