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

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


if is_sentencepiece_available():
							from .tokenization_xglm import XGLMTokenizer
else:
							A__       :   str   						=					None


A__       :   Any   						=					logging.get_logger(__name__)

A__       :   Dict   						=					{"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

A__       :   List[str]   						=					{
    """vocab_file""": {
        """facebook/xglm-564M""": """https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model""",
    },
    """tokenizer_file""": {
        """facebook/xglm-564M""": """https://huggingface.co/facebook/xglm-564M/resolve/main/tokenizer.json""",
    },
}

A__       :   Any   						=					{
    """facebook/xglm-564M""": 2_0_4_8,
}





class 						lowercase       (  lowerCamelCase__					):
					__a					=    VOCAB_FILES_NAMES
					__a					=    PRETRAINED_VOCAB_FILES_MAP
					__a					=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__a					=    ['input_ids', 'attention_mask']
					__a					=    XGLMTokenizer
					def __init__(		self ,	SCREAMING_SNAKE_CASE__=None ,	SCREAMING_SNAKE_CASE__=None ,	SCREAMING_SNAKE_CASE__="<s>" ,	SCREAMING_SNAKE_CASE__="</s>" ,	SCREAMING_SNAKE_CASE__="</s>" ,	SCREAMING_SNAKE_CASE__="<s>" ,	SCREAMING_SNAKE_CASE__="<unk>" ,	SCREAMING_SNAKE_CASE__="<pad>" ,	**SCREAMING_SNAKE_CASE__ ,	):
								"""simple docstring"""







								lowerCAmelCase__ :    Optional[int]				      =			7
								lowerCAmelCase__ :    List[str]				      =			[f'''<madeupword{i}>''' for i in range(self.num_madeup_words    )]

								lowerCAmelCase__ :    Optional[int]				      =			kwargs.get('''additional_special_tokens''' ,	[]    )
								kwargs["additional_special_tokens"] += [
								    word for word in madeup_words if word not in kwargs["additional_special_tokens"]
								]

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

								lowerCAmelCase__ :    Optional[int]				      =			vocab_file
								lowerCAmelCase__ :    str				      =			False if not self.vocab_file else True
					def lowercase_			(		self ,	SCREAMING_SNAKE_CASE__ ,	SCREAMING_SNAKE_CASE__ = None    ):
								"""simple docstring"""







								if token_ids_a is None:
											return [self.sep_token_id] + token_ids_a
								lowerCAmelCase__ :    Dict				      =			[self.sep_token_id]
								return sep + token_ids_a + sep + sep + token_ids_a
					def lowercase_			(		self ,	SCREAMING_SNAKE_CASE__ ,	SCREAMING_SNAKE_CASE__ = None    ):
								"""simple docstring"""







								lowerCAmelCase__ :    Optional[int]				      =			[self.sep_token_id]

								if token_ids_a is None:
											return len(sep + token_ids_a    ) * [0]
								return len(sep + token_ids_a + sep + sep + token_ids_a    ) * [0]
					def lowercase_			(		self ,	SCREAMING_SNAKE_CASE__ ,	SCREAMING_SNAKE_CASE__ = None    ):
								"""simple docstring"""







								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
								lowerCAmelCase__ :    Optional[int]				      =			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,)





import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from unittest.mock import Mock, patch

import diffusers.utils.hub_utils





class 						lowercase       (  unittest.TestCase					):
					@patch('''diffusers.utils.hub_utils.get_full_repo_name'''    )
					def lowercase_			(		self ,	SCREAMING_SNAKE_CASE__    ):
								"""simple docstring"""







								lowerCAmelCase__ :    str				      =			'''full_repo_name'''
								with TemporaryDirectory() as tmpdir:
											# Dummy args values
											lowerCAmelCase__ :    Optional[int]				      =			Mock()
											lowerCAmelCase__ :    Optional[int]				      =			tmpdir
											lowerCAmelCase__ :    Optional[Any]				      =			0
											lowerCAmelCase__ :    Optional[int]				      =			'''hub_token'''
											lowerCAmelCase__ :    Tuple				      =			'''dataset_name'''
											lowerCAmelCase__ :    int				      =			0.01
											lowerCAmelCase__ :    Optional[int]				      =			100000
											lowerCAmelCase__ :    Any				      =			10000
											lowerCAmelCase__ :    Union[str, Any]				      =			0.01
											lowerCAmelCase__ :    int				      =			0.02
											lowerCAmelCase__ :    Union[str, Any]				      =			0.03
											lowerCAmelCase__ :    str				      =			0.0_005
											lowerCAmelCase__ :    Dict				      =			0.000_001
											lowerCAmelCase__ :    Tuple				      =			1
											lowerCAmelCase__ :    Optional[int]				      =			10
											lowerCAmelCase__ :    int				      =			0.001
											lowerCAmelCase__ :    Union[str, Any]				      =			0.1
											lowerCAmelCase__ :    Tuple				      =			0.2
											lowerCAmelCase__ :    Optional[int]				      =			True

											# Model card mush be rendered and saved
											diffusers.utils.hub_utils.create_model_card(SCREAMING_SNAKE_CASE__ ,	model_name='''model_name'''    )
											self.assertTrue((Path(SCREAMING_SNAKE_CASE__    ) / '''README.md''').is_file()    )



