

"""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    lowerCamelCase						(A__			):

			def __init__(					self				:						int    ,				__UpperCAmelCase				:						str = "▁"    ,				__UpperCAmelCase				:						bool = True    ,				__UpperCAmelCase				:						Union[str, AddedToken] = "<unk>"    ,				__UpperCAmelCase				:						Union[str, AddedToken] = "</s>"    ,				__UpperCAmelCase				:						Union[str, AddedToken] = "<pad>"    ,				)   ->    Optional[Any]:
						SCREAMING_SNAKE_CASE__								=      {
						    """pad""": {"""id""": 0, """token""": pad_token},
						    """eos""": {"""id""": 1, """token""": eos_token},
						    """unk""": {"""id""": 2, """token""": unk_token},
						}

						SCREAMING_SNAKE_CASE__								=      [None] * len(self.special_tokens       )
						for token_dict in self.special_tokens.values():
									SCREAMING_SNAKE_CASE__								=      token_dict["""token"""]

						SCREAMING_SNAKE_CASE__								=      Tokenizer(Unigram()       )

						SCREAMING_SNAKE_CASE__								=      normalizers.Sequence(
						    [
						        normalizers.Nmt(),
						        normalizers.NFKC(),
						        normalizers.Replace(Regex(""" {2,}"""       )    ,				""" """       ),
						        normalizers.Lowercase(),
						    ]       )
						SCREAMING_SNAKE_CASE__								=      pre_tokenizers.Sequence(
						    [
						        pre_tokenizers.Metaspace(replacement=__UpperCAmelCase    ,				add_prefix_space=__UpperCAmelCase       ),
						        pre_tokenizers.Digits(individual_digits=__UpperCAmelCase       ),
						        pre_tokenizers.Punctuation(),
						    ]       )
						SCREAMING_SNAKE_CASE__								=      decoders.Metaspace(replacement=__UpperCAmelCase    ,				add_prefix_space=__UpperCAmelCase       )

						SCREAMING_SNAKE_CASE__								=      TemplateProcessing(
						    single=F"""$A {self.special_tokens["eos"]["token"]}"""    ,				special_tokens=[(self.special_tokens["""eos"""]["""token"""], self.special_tokens["""eos"""]["""id"""])]    ,				)

						SCREAMING_SNAKE_CASE__								=      {
						    """model""": """SentencePieceUnigram""",
						    """replacement""": replacement,
						    """add_prefix_space""": add_prefix_space,
						}

						super().__init__(__UpperCAmelCase    ,				__UpperCAmelCase       )

			def 					SCREAMING_SNAKE_CASE				(					self				:						str    ,				__UpperCAmelCase				:						Union[str, List[str]]    ,				__UpperCAmelCase				:						int = 8_0_0_0    ,				__UpperCAmelCase				:						bool = True    ,				)   ->    Tuple:
						SCREAMING_SNAKE_CASE__								=      trainers.UnigramTrainer(
						    vocab_size=__UpperCAmelCase    ,				special_tokens=self.special_tokens_list    ,				show_progress=__UpperCAmelCase    ,				)

						if isinstance(__UpperCAmelCase    ,				__UpperCAmelCase       ):
									SCREAMING_SNAKE_CASE__								=      [files]
						self._tokenizer.train(__UpperCAmelCase    ,				trainer=__UpperCAmelCase       )

						self.add_unk_id()

			def 					SCREAMING_SNAKE_CASE				(					self				:						Any    ,				__UpperCAmelCase				:						Union[Iterator[str], Iterator[Iterator[str]]]    ,				__UpperCAmelCase				:						int = 8_0_0_0    ,				__UpperCAmelCase				:						bool = True    ,				)   ->    Tuple:
						SCREAMING_SNAKE_CASE__								=      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 					SCREAMING_SNAKE_CASE				(					self				:						str       )   ->    Dict:
						SCREAMING_SNAKE_CASE__								=      json.loads(self._tokenizer.to_str()       )

						SCREAMING_SNAKE_CASE__								=      self.special_tokens["""unk"""]["""id"""]

						SCREAMING_SNAKE_CASE__								=      Tokenizer.from_str(json.dumps(__UpperCAmelCase       )       )





"""simple docstring"""




import pytest
import requests

from datasets.utils.file_utils import http_head

from .utils import OfflineSimulationMode, RequestWouldHangIndefinitelyError, offline

@pytest.mark.integration
def 	A       (     ):




			'''simple docstring'''


			with offline(OfflineSimulationMode.CONNECTION_TIMES_OUT    ):
						with pytest.raises(snake_case__    ):
									requests.request("""GET"""		,				"""https://huggingface.co"""    )
						with pytest.raises(requests.exceptions.ConnectTimeout    ):
									requests.request("""GET"""		,				"""https://huggingface.co"""		,				timeout=1.0    )

@pytest.mark.integration
def 	A       (     ):




			'''simple docstring'''


			with offline(OfflineSimulationMode.CONNECTION_FAILS    ):
						with pytest.raises(requests.exceptions.ConnectionError    ):
									requests.request("""GET"""		,				"""https://huggingface.co"""    )




def 	A       (     ):




			'''simple docstring'''


			with offline(OfflineSimulationMode.HF_DATASETS_OFFLINE_SET_TO_1    ):
						with pytest.raises(snake_case__    ):
									http_head("""https://huggingface.co"""    )


