

'''simple docstring'''
import importlib
import json
import os
import sys
import tempfile
import unittest
from pathlib import Path

import transformers
import transformers.models.auto
from transformers.models.auto.configuration_auto import CONFIG_MAPPING, AutoConfig
from transformers.models.bert.configuration_bert import BertConfig
from transformers.models.roberta.configuration_roberta import RobertaConfig
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, get_tests_dir


sys.path.append(str(Path(__file__).parent.parent.parent.parent / """utils"""))

from test_module.custom_configuration import CustomConfig  # noqa E402


_lowerCamelCase      					=     get_tests_dir("""fixtures/dummy-config.json""")
class 					_snake_case		(unittest.TestCase):






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      int						=  0






			def 		UpperCamelCase__							(  self     ):
				self.assertIsNotNone(transformers.models.auto.__spec__     )
				self.assertIsNotNone(importlib.util.find_spec("transformers.models.auto"     )     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      int						=  AutoConfig.from_pretrained("bert-base-uncased"     )
				self.assertIsInstance(_snake_case			,_snake_case     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      List[str]						=  AutoConfig.from_pretrained(_snake_case     )
				self.assertIsInstance(_snake_case			,_snake_case     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      Tuple						=  AutoConfig.from_pretrained(_snake_case     )
				self.assertIsInstance(_snake_case			,_snake_case     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      int						=  AutoConfig.for_model("roberta"     )
				self.assertIsInstance(_snake_case			,_snake_case     )






			def 		UpperCamelCase__							(  self     ):
				with tempfile.TemporaryDirectory() as tmp_dir:
					# This model name contains bert and roberta, but roberta ends up being picked.
					UpperCAmelCase_     :      List[str]						=  os.path.join(_snake_case			,"fake-roberta"     )
					os.makedirs(_snake_case			,exist_ok=_snake_case     )
					with open(os.path.join(_snake_case			,"config.json"     )			,"w"     ) as f:
						f.write(json.dumps({}     )     )
					UpperCAmelCase_     :      Union[str, Any]						=  AutoConfig.from_pretrained(_snake_case     )
					self.assertEqual(type(_snake_case     )			,_snake_case     )






			def 		UpperCamelCase__							(  self     ):
				try:
					AutoConfig.register("custom"			,_snake_case     )
					# Wrong model type will raise an error
					with self.assertRaises(_snake_case     ):
						AutoConfig.register("model"			,_snake_case     )
					# Trying to register something existing in the Transformers library will raise an error
					with self.assertRaises(_snake_case     ):
						AutoConfig.register("bert"			,_snake_case     )

					# Now that the config is registered, it can be used as any other config with the auto-API
					UpperCAmelCase_     :      Union[str, Any]						=  CustomConfig()
					with tempfile.TemporaryDirectory() as tmp_dir:
						config.save_pretrained(_snake_case     )
						UpperCAmelCase_     :      Union[str, Any]						=  AutoConfig.from_pretrained(_snake_case     )
						self.assertIsInstance(_snake_case			,_snake_case     )

				finally:
					if "custom" in CONFIG_MAPPING._extra_content:
						del CONFIG_MAPPING._extra_content["custom"]






			def 		UpperCamelCase__							(  self     ):
				with self.assertRaisesRegex(
				    _snake_case			,"bert-base is not a local folder and is not a valid model identifier"     ):
					UpperCAmelCase_     :      int						=  AutoConfig.from_pretrained("bert-base"     )






			def 		UpperCamelCase__							(  self     ):
				with self.assertRaisesRegex(
				    _snake_case			,R"aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"     ):
					UpperCAmelCase_     :      Optional[int]						=  AutoConfig.from_pretrained(_snake_case			,revision="aaaaaa"     )






			def 		UpperCamelCase__							(  self     ):
				with self.assertRaisesRegex(
				    _snake_case			,"hf-internal-testing/no-config-test-repo does not appear to have a file named config.json."			,):
					UpperCAmelCase_     :      Any						=  AutoConfig.from_pretrained("hf-internal-testing/no-config-test-repo"     )






			def 		UpperCamelCase__							(  self     ):
				# If remote code is not set, we will time out when asking whether to load the model.
				with self.assertRaises(_snake_case     ):
					UpperCAmelCase_     :      Optional[Any]						=  AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"     )
				# If remote code is disabled, we can't load this config.
				with self.assertRaises(_snake_case     ):
					UpperCAmelCase_     :      List[Any]						=  AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"			,trust_remote_code=_snake_case     )

				UpperCAmelCase_     :      Optional[int]						=  AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"			,trust_remote_code=_snake_case     )
				self.assertEqual(config.__class__.__name__			,"NewModelConfig"     )

				# Test config can be reloaded.
				with tempfile.TemporaryDirectory() as tmp_dir:
					config.save_pretrained(_snake_case     )
					UpperCAmelCase_     :      Any						=  AutoConfig.from_pretrained(_snake_case			,trust_remote_code=_snake_case     )
				self.assertEqual(reloaded_config.__class__.__name__			,"NewModelConfig"     )






			def 		UpperCamelCase__							(  self     ):
				class 					_snake_case		(__SCREAMING_SNAKE_CASE):
							__A  :	Optional[int]        ="new-model"

				try:
					AutoConfig.register("new-model"			,_snake_case     )
					# If remote code is not set, the default is to use local
					UpperCAmelCase_     :      Optional[int]						=  AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"     )
					self.assertEqual(config.__class__.__name__			,"NewModelConfigLocal"     )

					# If remote code is disabled, we load the local one.
					UpperCAmelCase_     :      Optional[int]						=  AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"			,trust_remote_code=_snake_case     )
					self.assertEqual(config.__class__.__name__			,"NewModelConfigLocal"     )

					# If remote is enabled, we load from the Hub
					UpperCAmelCase_     :      Any						=  AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"			,trust_remote_code=_snake_case     )
					self.assertEqual(config.__class__.__name__			,"NewModelConfig"     )

				finally:
					if "new-model" in CONFIG_MAPPING._extra_content:
						del CONFIG_MAPPING._extra_content["new-model"]






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:
						_snake_case      :							Any     	=    None

_snake_case      :							Union[str, Any]     	=    logging.get_logger(__name__)

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

_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"
        ),
    },
}

_snake_case      :							str     	=    {
    "moussaKam/mbarthez": 10_24,
    "moussaKam/barthez": 10_24,
    "moussaKam/barthez-orangesum-title": 10_24,
}

_snake_case      :							Optional[int]     	=    "▁"





class   UpperCamelCase_      (      __a		):







						'''simple docstring'''



						UpperCamelCase      :  Any				   =					VOCAB_FILES_NAMES
						UpperCamelCase      :  Any				   =					PRETRAINED_VOCAB_FILES_MAP
						UpperCamelCase      :  Union[str, Any]				   =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						UpperCamelCase      :  Dict				   =					['''input_ids''', '''attention_mask''']
						UpperCamelCase      :  Optional[Any]				   =					BarthezTokenizer





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

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

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





						def        SCREAMING_SNAKE_CASE(			self							:Optional[int]		,    lowerCAmelCase__							:List[int]		,    lowerCAmelCase__							:Optional[List[int]] = None     )  ->List[int]:

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





						def        SCREAMING_SNAKE_CASE(			self							:Optional[int]		,    lowerCAmelCase__							:List[int]		,    lowerCAmelCase__							:Optional[List[int]] = None     )  ->List[int]:
										lowercase         =      [self.sep_token_id]
										lowercase         =      [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        SCREAMING_SNAKE_CASE(			self							:List[Any]		,    lowerCAmelCase__							:str		,    lowerCAmelCase__							:Optional[str] = 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(lowerCAmelCase__     ):
														logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''     )
														return
										lowercase         =      os.path.join(
										    lowerCAmelCase__		,    (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]     )

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

										return (out_vocab_file,)
