

import time
from contextlib import contextmanager
from pathlib import Path

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


SCREAMING_SNAKE_CASE		:Any						=     """__DUMMY_TRANSFORMERS_USER__"""
SCREAMING_SNAKE_CASE		:str						=     """Dummy User"""
SCREAMING_SNAKE_CASE		:List[Any]						=     """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"""

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




@pytest.fixture
def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			)->						List[str]:



    """simple docstring"""






    monkeypatch.setattr(
        "huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE"			,						SCREAMING_SNAKE_CASE_			)




@pytest.fixture
def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			)->						Tuple:



    """simple docstring"""






    monkeypatch.setattr("datasets.config.HF_ENDPOINT"			,						SCREAMING_SNAKE_CASE_			)
    monkeypatch.setattr("datasets.config.HUB_DATASETS_URL"			,						SCREAMING_SNAKE_CASE_			)




@pytest.fixture
def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			)->						Optional[Any]:



    """simple docstring"""






    monkeypatch.setattr("huggingface_hub.hf_api.HfFolder.path_token"			,						SCREAMING_SNAKE_CASE_			)




@pytest.fixture
def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)->						int:



    """simple docstring"""






    HfFolder.save_token(SCREAMING_SNAKE_CASE_			)
    yield
    HfFolder.delete_token()




@pytest.fixture(scope="session"			)
def 			lowerCAmelCase(      )->						Union[str, Any]:



    """simple docstring"""






    return HfApi(endpoint=SCREAMING_SNAKE_CASE_			)




@pytest.fixture(scope="session"			)
def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			)->						Dict:



    """simple docstring"""






    UpperCamelCase_			  =						HfFolder.get_token()
    HfFolder.save_token(SCREAMING_SNAKE_CASE_			)
    yield CI_HUB_USER_TOKEN
    if previous_token is not None:
        HfFolder.save_token(SCREAMING_SNAKE_CASE_			)




@pytest.fixture
def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			)->						Any:



    """simple docstring"""






    def _cleanup_repo(SCREAMING_SNAKE_CASE_			):
        hf_api.delete_repo(SCREAMING_SNAKE_CASE_			,						token=SCREAMING_SNAKE_CASE_			,						repo_type="dataset"			)

    return _cleanup_repo




@pytest.fixture
def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			)->						Dict:



    """simple docstring"""






    @contextmanager
    def _temporary_repo(SCREAMING_SNAKE_CASE_			):
        try:
            yield repo_id
        finally:
            cleanup_repo(SCREAMING_SNAKE_CASE_			)

    return _temporary_repo




@pytest.fixture(scope="session"			)
def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)->						Dict:



    """simple docstring"""






    UpperCamelCase_			  =						f"repo_txt_data-{int(time.time() * 10E3			)}"
    UpperCamelCase_			  =						f"{CI_HUB_USER}/{repo_name}"
    hf_api.create_repo(SCREAMING_SNAKE_CASE_			,						token=SCREAMING_SNAKE_CASE_			,						repo_type="dataset"			,						private=SCREAMING_SNAKE_CASE_			)
    hf_api.upload_file(
        token=SCREAMING_SNAKE_CASE_			,						path_or_fileobj=str(SCREAMING_SNAKE_CASE_			)			,						path_in_repo="data/text_data.txt"			,						repo_id=SCREAMING_SNAKE_CASE_			,						repo_type="dataset"			,						)
    yield repo_id
    try:
        hf_api.delete_repo(SCREAMING_SNAKE_CASE_			,						token=SCREAMING_SNAKE_CASE_			,						repo_type="dataset"			)
    except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
        pass




@pytest.fixture()
def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)->						Union[str, Any]:



    """simple docstring"""






    return hf_private_dataset_repo_txt_data_




@pytest.fixture(scope="session"			)
def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)->						Any:



    """simple docstring"""






    UpperCamelCase_			  =						f"repo_zipped_txt_data-{int(time.time() * 10E3			)}"
    UpperCamelCase_			  =						f"{CI_HUB_USER}/{repo_name}"
    hf_api.create_repo(SCREAMING_SNAKE_CASE_			,						token=SCREAMING_SNAKE_CASE_			,						repo_type="dataset"			,						private=SCREAMING_SNAKE_CASE_			)
    hf_api.upload_file(
        token=SCREAMING_SNAKE_CASE_			,						path_or_fileobj=str(SCREAMING_SNAKE_CASE_			)			,						path_in_repo="data.zip"			,						repo_id=SCREAMING_SNAKE_CASE_			,						repo_type="dataset"			,						)
    yield repo_id
    try:
        hf_api.delete_repo(SCREAMING_SNAKE_CASE_			,						token=SCREAMING_SNAKE_CASE_			,						repo_type="dataset"			)
    except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
        pass




@pytest.fixture()
def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)->						Any:



    """simple docstring"""






    return hf_private_dataset_repo_zipped_txt_data_




@pytest.fixture(scope="session"			)
def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)->						Union[str, Any]:



    """simple docstring"""






    UpperCamelCase_			  =						f"repo_zipped_img_data-{int(time.time() * 10E3			)}"
    UpperCamelCase_			  =						f"{CI_HUB_USER}/{repo_name}"
    hf_api.create_repo(SCREAMING_SNAKE_CASE_			,						token=SCREAMING_SNAKE_CASE_			,						repo_type="dataset"			,						private=SCREAMING_SNAKE_CASE_			)
    hf_api.upload_file(
        token=SCREAMING_SNAKE_CASE_			,						path_or_fileobj=str(SCREAMING_SNAKE_CASE_			)			,						path_in_repo="data.zip"			,						repo_id=SCREAMING_SNAKE_CASE_			,						repo_type="dataset"			,						)
    yield repo_id
    try:
        hf_api.delete_repo(SCREAMING_SNAKE_CASE_			,						token=SCREAMING_SNAKE_CASE_			,						repo_type="dataset"			)
    except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
        pass




@pytest.fixture()
def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)->						int:



    """simple docstring"""






    return hf_private_dataset_repo_zipped_img_data_



import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
 from .tokenization_barthez import BarthezTokenizer
else:
 SCREAMING_SNAKE_CASE		:Optional[Any]						=     None

SCREAMING_SNAKE_CASE		:List[str]						=     logging.get_logger(__name__)

SCREAMING_SNAKE_CASE		:Optional[Any]						=     {"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

SCREAMING_SNAKE_CASE		:int						=     {
    """vocab_file""": {
        """moussaKam/mbarthez""": """https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez""": """https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez-orangesum-title""": (
            """https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model"""
        ),
    },
    """tokenizer_file""": {
        """moussaKam/mbarthez""": """https://huggingface.co/moussaKam/mbarthez/resolve/main/tokenizer.json""",
        """moussaKam/barthez""": """https://huggingface.co/moussaKam/barthez/resolve/main/tokenizer.json""",
        """moussaKam/barthez-orangesum-title""": (
            """https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/tokenizer.json"""
        ),
    },
}

SCREAMING_SNAKE_CASE		:List[str]						=     {
    """moussaKam/mbarthez""": 1024,
    """moussaKam/barthez""": 1024,
    """moussaKam/barthez-orangesum-title""": 1024,
}

SCREAMING_SNAKE_CASE		:Optional[Any]						=     """▁"""






class 						__magic_name__					(							snake_case				):
     UpperCamelCase_	:Dict										=      VOCAB_FILES_NAMES
     UpperCamelCase_	:Optional[int]										=      PRETRAINED_VOCAB_FILES_MAP
     UpperCamelCase_	:Any										=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     UpperCamelCase_	:Any										=      ["""input_ids""", """attention_mask"""]
     UpperCamelCase_	:List[Any]										=      BarthezTokenizer






     def __init__(				self		,						_lowercase=None		,						_lowercase=None		,						_lowercase="<s>"		,						_lowercase="</s>"		,						_lowercase="</s>"		,						_lowercase="<s>"		,						_lowercase="<unk>"		,						_lowercase="<pad>"		,						_lowercase="<mask>"		,						**_lowercase		,						)->     Optional[int]:
         # Mask token behave like a normal word, i.e. include the space before it
         UpperCamelCase_			  =						AddedToken(_lowercase		,						lstrip=_lowercase		,						rstrip=_lowercase	) if isinstance(_lowercase		,						_lowercase	) else mask_token

         super().__init__(
             _lowercase		,						tokenizer_file=_lowercase		,						bos_token=_lowercase		,						eos_token=_lowercase		,						unk_token=_lowercase		,						sep_token=_lowercase		,						cls_token=_lowercase		,						pad_token=_lowercase		,						mask_token=_lowercase		,						**_lowercase		,						)

         UpperCamelCase_			  =						vocab_file
         UpperCamelCase_			  =						False if not self.vocab_file else True






     def 	UpperCAmelCase_				(				self		,						_lowercase		,						_lowercase = None	)->     List[int]:

         if token_ids_a is None:
             return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
         UpperCamelCase_			  =						[self.cls_token_id]
         UpperCamelCase_			  =						[self.sep_token_id]
         return cls + token_ids_a + sep + sep + token_ids_a + sep






     def 	UpperCAmelCase_				(				self		,						_lowercase		,						_lowercase = None	)->     List[int]:
         UpperCamelCase_			  =						[self.sep_token_id]
         UpperCamelCase_			  =						[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]






     def 	UpperCAmelCase_				(				self		,						_lowercase		,						_lowercase = None	)->     Tuple[str]:
         if not self.can_save_slow_tokenizer:
             raise ValueError(
                 "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
                 "tokenizer."	)

         if not os.path.isdir(_lowercase	):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory"	)
             return
         UpperCamelCase_			  =						os.path.join(
             _lowercase		,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]	)

         if os.path.abspath(self.vocab_file	) != os.path.abspath(_lowercase	):
             copyfile(self.vocab_file		,						_lowercase	)

         return (out_vocab_file,)
