

"""simple docstring"""




import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roberta import RobertaTokenizer


A_							:	Dict      =       logging.get_logger(__name__)

A_							:	str      =       {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

A_							:	int      =       {
    """vocab_file""": {
        """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/vocab.json""",
        """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/vocab.json""",
        """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json""",
        """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/vocab.json""",
        """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json""",
        """roberta-large-openai-detector""": (
            """https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json"""
        ),
    },
    """merges_file""": {
        """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/merges.txt""",
        """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/merges.txt""",
        """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt""",
        """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/merges.txt""",
        """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt""",
        """roberta-large-openai-detector""": (
            """https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt"""
        ),
    },
    """tokenizer_file""": {
        """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/tokenizer.json""",
        """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/tokenizer.json""",
        """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/tokenizer.json""",
        """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/tokenizer.json""",
        """roberta-base-openai-detector""": (
            """https://huggingface.co/roberta-base-openai-detector/resolve/main/tokenizer.json"""
        ),
        """roberta-large-openai-detector""": (
            """https://huggingface.co/roberta-large-openai-detector/resolve/main/tokenizer.json"""
        ),
    },
}

A_							:	Optional[int]      =       {
    """roberta-base""": 512,
    """roberta-large""": 512,
    """roberta-large-mnli""": 512,
    """distilroberta-base""": 512,
    """roberta-base-openai-detector""": 512,
    """roberta-large-openai-detector""": 512,
}





class       lowerCamelCase  (A__	):
			lowerCamelCase__      :						Union[str, Any]    						=							VOCAB_FILES_NAMES
			lowerCamelCase__      :						Tuple    						=							PRETRAINED_VOCAB_FILES_MAP
			lowerCamelCase__      :						List[str]    						=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCamelCase__      :						Any    						=							['input_ids', 'attention_mask']
			lowerCamelCase__      :						Tuple    						=							RobertaTokenizer

			def __init__(    self :  Optional[int]			, __UpperCAmelCase :  Tuple=None			, __UpperCAmelCase :  List[Any]=None			, __UpperCAmelCase :  int=None			, __UpperCAmelCase :  List[str]="replace"			, __UpperCAmelCase :  Optional[int]="<s>"			, __UpperCAmelCase :  str="</s>"			, __UpperCAmelCase :  Union[str, Any]="</s>"			, __UpperCAmelCase :  Dict="<s>"			, __UpperCAmelCase :  int="<unk>"			, __UpperCAmelCase :  Tuple="<pad>"			, __UpperCAmelCase :  List[str]="<mask>"			, __UpperCAmelCase :  List[Any]=False			, __UpperCAmelCase :  Any=True			, **__UpperCAmelCase :  Dict			, )      ->			List[Any]:
						super().__init__(
						    __UpperCAmelCase			, __UpperCAmelCase			, tokenizer_file=__UpperCAmelCase			, errors=__UpperCAmelCase			, bos_token=__UpperCAmelCase			, eos_token=__UpperCAmelCase			, sep_token=__UpperCAmelCase			, cls_token=__UpperCAmelCase			, unk_token=__UpperCAmelCase			, pad_token=__UpperCAmelCase			, mask_token=__UpperCAmelCase			, add_prefix_space=__UpperCAmelCase			, trim_offsets=__UpperCAmelCase			, **__UpperCAmelCase			, )

						SCREAMING_SNAKE_CASE__									=					json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()				)
						if pre_tok_state.get("""add_prefix_space"""			, __UpperCAmelCase				) != add_prefix_space:
									SCREAMING_SNAKE_CASE__									=					getattr(__UpperCAmelCase			, pre_tok_state.pop("""type"""				)				)
									SCREAMING_SNAKE_CASE__									=					add_prefix_space
									SCREAMING_SNAKE_CASE__									=					pre_tok_class(**__UpperCAmelCase				)

						SCREAMING_SNAKE_CASE__									=					add_prefix_space

						SCREAMING_SNAKE_CASE__									=					"""post_processor"""
						SCREAMING_SNAKE_CASE__									=					getattr(self.backend_tokenizer			, __UpperCAmelCase			, __UpperCAmelCase				)
						if tokenizer_component_instance:
									SCREAMING_SNAKE_CASE__									=					json.loads(tokenizer_component_instance.__getstate__()				)

									# The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
									if "sep" in state:
												SCREAMING_SNAKE_CASE__									=					tuple(state["""sep"""]				)
									if "cls" in state:
												SCREAMING_SNAKE_CASE__									=					tuple(state["""cls"""]				)

									SCREAMING_SNAKE_CASE__									=					False

									if state.get("""add_prefix_space"""			, __UpperCAmelCase				) != add_prefix_space:
												SCREAMING_SNAKE_CASE__									=					add_prefix_space
												SCREAMING_SNAKE_CASE__									=					True

									if state.get("""trim_offsets"""			, __UpperCAmelCase				) != trim_offsets:
												SCREAMING_SNAKE_CASE__									=					trim_offsets
												SCREAMING_SNAKE_CASE__									=					True

									if changes_to_apply:
												SCREAMING_SNAKE_CASE__									=					getattr(__UpperCAmelCase			, state.pop("""type"""				)				)
												SCREAMING_SNAKE_CASE__									=					component_class(**__UpperCAmelCase				)
												setattr(self.backend_tokenizer			, __UpperCAmelCase			, __UpperCAmelCase				)

			@property
			def     SCREAMING_SNAKE_CASE (    self :  List[Any]				)      ->			str:
						if self._mask_token is None:
									if self.verbose:
												logger.error("""Using mask_token, but it is not set yet."""				)
									return None
						return str(self._mask_token				)

			@mask_token.setter
			def     SCREAMING_SNAKE_CASE (    self :  Dict			, __UpperCAmelCase :  Optional[int]				)      ->			Union[str, Any]:
						SCREAMING_SNAKE_CASE__									=					AddedToken(__UpperCAmelCase			, lstrip=__UpperCAmelCase			, rstrip=__UpperCAmelCase				) if isinstance(__UpperCAmelCase			, __UpperCAmelCase				) else value
						SCREAMING_SNAKE_CASE__									=					value

			def     SCREAMING_SNAKE_CASE (    self :  str			, *__UpperCAmelCase :  Union[str, Any]			, **__UpperCAmelCase :  Tuple				)      ->			BatchEncoding:
						SCREAMING_SNAKE_CASE__									=					kwargs.get("""is_split_into_words"""			, __UpperCAmelCase				)
						assert self.add_prefix_space or not is_split_into_words, (
						    F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
						    "to use it with pretokenized inputs."
						)

						return super()._batch_encode_plus(*__UpperCAmelCase			, **__UpperCAmelCase				)

			def     SCREAMING_SNAKE_CASE (    self :  Optional[Any]			, *__UpperCAmelCase :  Union[str, Any]			, **__UpperCAmelCase :  Optional[Any]				)      ->			BatchEncoding:
						SCREAMING_SNAKE_CASE__									=					kwargs.get("""is_split_into_words"""			, __UpperCAmelCase				)

						assert self.add_prefix_space or not is_split_into_words, (
						    F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
						    "to use it with pretokenized inputs."
						)

						return super()._encode_plus(*__UpperCAmelCase			, **__UpperCAmelCase				)

			def     SCREAMING_SNAKE_CASE (    self :  Optional[int]			, __UpperCAmelCase :  List[str]			, __UpperCAmelCase :  Optional[int] = None				)      ->			Tuple[str]:
						SCREAMING_SNAKE_CASE__									=					self._tokenizer.model.save(__UpperCAmelCase			, name=__UpperCAmelCase				)
						return tuple(__UpperCAmelCase				)

			def     SCREAMING_SNAKE_CASE (    self :  Optional[int]			, __UpperCAmelCase :  Optional[int]			, __UpperCAmelCase :  Any=None				)      ->			Optional[Any]:
						SCREAMING_SNAKE_CASE__									=					[self.bos_token_id] + token_ids_a + [self.eos_token_id]
						if token_ids_a is None:
									return output

						return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]





			def     SCREAMING_SNAKE_CASE (    self :  Optional[Any]			, __UpperCAmelCase :  List[str]			, __UpperCAmelCase :  str = None				)      ->			List[int]:
						SCREAMING_SNAKE_CASE__									=					[self.sep_token_id]
						SCREAMING_SNAKE_CASE__									=					[self.cls_token_id]

						if token_ids_a is None:
									return len(cls + token_ids_a + sep				) * [0]
						return len(cls + token_ids_a + sep + sep + token_ids_a + sep				) * [0]







'''simple docstring'''




import time
from contextlib import contextmanager
from pathlib import Path

import pytest
import requests
from huggingface_hub.hf_api import HfApi, HfFolder


a   :			List[Any]					  =    """__DUMMY_TRANSFORMERS_USER__"""
a   :			Tuple					  =    """Dummy User"""
a   :			Optional[Any]					  =    """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"""

a   :			Optional[Any]					  =    """https://hub-ci.huggingface.co"""
a   :			List[Any]					  =    CI_HUB_ENDPOINT + """/datasets/{repo_id}/resolve/{revision}/{path}"""
a   :			Tuple					  =    CI_HUB_ENDPOINT + """/{repo_id}/resolve/{revision}/{filename}"""
a   :			str					  =    Path("""~/.huggingface/hub_ci_token""").expanduser()



@pytest.fixture
def       __lowerCamelCase  (					_lowercase		)      ->			Optional[int]:
							monkeypatch.setattr(
							    """huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE"""	,				_lowercase		)



@pytest.fixture
def       __lowerCamelCase  (					_lowercase		)      ->			List[str]:
							monkeypatch.setattr("""datasets.config.HF_ENDPOINT"""	,				_lowercase		)
							monkeypatch.setattr("""datasets.config.HUB_DATASETS_URL"""	,				_lowercase		)



@pytest.fixture
def       __lowerCamelCase  (					_lowercase		)      ->			Any:
							monkeypatch.setattr("""huggingface_hub.hf_api.HfFolder.path_token"""	,				_lowercase		)



@pytest.fixture
def       __lowerCamelCase  (					_lowercase	,				_lowercase		)      ->			Optional[Any]:
							HfFolder.save_token(_lowercase		)
							yield
							HfFolder.delete_token()



@pytest.fixture(scope="""session"""		)
def       __lowerCamelCase  (					)      ->			str:
							return HfApi(endpoint=_lowercase		)



@pytest.fixture(scope="""session"""		)
def       __lowerCamelCase  (					_lowercase		)      ->			Union[str, Any]:
							UpperCAmelCase     :		str							     =		HfFolder.get_token()
							HfFolder.save_token(_lowercase		)
							yield CI_HUB_USER_TOKEN
							if previous_token is not None:
														HfFolder.save_token(_lowercase		)



@pytest.fixture
def       __lowerCamelCase  (					_lowercase		)      ->			Any:
							def _cleanup_repo(_lowercase		):
														hf_api.delete_repo(_lowercase	,				token=_lowercase	,				repo_type="""dataset"""		)

							return _cleanup_repo



@pytest.fixture
def       __lowerCamelCase  (					_lowercase		)      ->			List[str]:
							@contextmanager
							def _temporary_repo(_lowercase		):
														try:
																					yield repo_id
														finally:
																					cleanup_repo(_lowercase		)

							return _temporary_repo



@pytest.fixture(scope="""session"""		)
def       __lowerCamelCase  (					_lowercase	,				_lowercase	,				_lowercase		)      ->			List[str]:
							UpperCAmelCase     :		str							     =		F'''repo_txt_data-{int(time.time() * 10e3		)}'''
							UpperCAmelCase     :		List[Any]							     =		F'''{CI_HUB_USER}/{repo_name}'''
							hf_api.create_repo(_lowercase	,				token=_lowercase	,				repo_type="""dataset"""	,				private=_lowercase		)
							hf_api.upload_file(
							    token=_lowercase	,				path_or_fileobj=str(_lowercase		)	,				path_in_repo="""data/text_data.txt"""	,				repo_id=_lowercase	,				repo_type="""dataset"""	,				)
							yield repo_id
							try:
														hf_api.delete_repo(_lowercase	,				token=_lowercase	,				repo_type="""dataset"""		)
							except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
														pass



@pytest.fixture()
def       __lowerCamelCase  (					_lowercase	,				_lowercase	,				_lowercase		)      ->			List[Any]:
							return hf_private_dataset_repo_txt_data_



@pytest.fixture(scope="""session"""		)
def       __lowerCamelCase  (					_lowercase	,				_lowercase	,				_lowercase		)      ->			Optional[int]:
							UpperCAmelCase     :		Optional[int]							     =		F'''repo_zipped_txt_data-{int(time.time() * 10e3		)}'''
							UpperCAmelCase     :		Optional[int]							     =		F'''{CI_HUB_USER}/{repo_name}'''
							hf_api.create_repo(_lowercase	,				token=_lowercase	,				repo_type="""dataset"""	,				private=_lowercase		)
							hf_api.upload_file(
							    token=_lowercase	,				path_or_fileobj=str(_lowercase		)	,				path_in_repo="""data.zip"""	,				repo_id=_lowercase	,				repo_type="""dataset"""	,				)
							yield repo_id
							try:
														hf_api.delete_repo(_lowercase	,				token=_lowercase	,				repo_type="""dataset"""		)
							except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
														pass



@pytest.fixture()
def       __lowerCamelCase  (					_lowercase	,				_lowercase	,				_lowercase		)      ->			List[str]:
							return hf_private_dataset_repo_zipped_txt_data_



@pytest.fixture(scope="""session"""		)
def       __lowerCamelCase  (					_lowercase	,				_lowercase	,				_lowercase		)      ->			Tuple:
							UpperCAmelCase     :		List[Any]							     =		F'''repo_zipped_img_data-{int(time.time() * 10e3		)}'''
							UpperCAmelCase     :		List[str]							     =		F'''{CI_HUB_USER}/{repo_name}'''
							hf_api.create_repo(_lowercase	,				token=_lowercase	,				repo_type="""dataset"""	,				private=_lowercase		)
							hf_api.upload_file(
							    token=_lowercase	,				path_or_fileobj=str(_lowercase		)	,				path_in_repo="""data.zip"""	,				repo_id=_lowercase	,				repo_type="""dataset"""	,				)
							yield repo_id
							try:
														hf_api.delete_repo(_lowercase	,				token=_lowercase	,				repo_type="""dataset"""		)
							except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
														pass



@pytest.fixture()
def       __lowerCamelCase  (					_lowercase	,				_lowercase	,				_lowercase		)      ->			List[Any]:
							return hf_private_dataset_repo_zipped_img_data_

