

'''simple docstring'''





import unittest

from transformers import BertGenerationTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


UpperCamelCase_    						=       """▁"""

UpperCamelCase_    						=       get_tests_dir("""fixtures/test_sentencepiece.model""")





@require_sentencepiece
class 		__SCREAMING_SNAKE_CASE							(			lowercase__						,							unittest.TestCase      ):
				lowerCamelCase_		       =    BertGenerationTokenizer
				lowerCamelCase_		       =    False
				lowerCamelCase_		       =    True







				def  lowerCamelCase_	(       self     :		Optional[int]   ):
										'''simple docstring'''
										super().setUp()

										lowercase :							List[str]    		=BertGenerationTokenizer(UpperCAmelCase__		,					keep_accents=UpperCAmelCase__   )
										tokenizer.save_pretrained(self.tmpdirname   )







				def  lowerCamelCase_	(       self     :		Optional[int]   ):
										'''simple docstring'''
										lowercase :							int    		='''<s>'''
										lowercase :							List[Any]    		=1

										self.assertEqual(self.get_tokenizer()._convert_token_to_id(UpperCAmelCase__   )		,					UpperCAmelCase__   )
										self.assertEqual(self.get_tokenizer()._convert_id_to_token(UpperCAmelCase__   )		,					UpperCAmelCase__   )







				def  lowerCamelCase_	(       self     :		Optional[int]   ):
										'''simple docstring'''
										lowercase :							List[str]    		=list(self.get_tokenizer().get_vocab().keys()   )

										self.assertEqual(vocab_keys[0]		,					'''<unk>'''   )
										self.assertEqual(vocab_keys[1]		,					'''<s>'''   )
										self.assertEqual(vocab_keys[-1]		,					'''<pad>'''   )
										self.assertEqual(len(UpperCAmelCase__   )		,					1002   )







				def  lowerCamelCase_	(       self     :		List[str]   ):
										'''simple docstring'''
										self.assertEqual(self.get_tokenizer().vocab_size		,					1000   )







				def  lowerCamelCase_	(       self     :		Any   ):
										'''simple docstring'''
										lowercase :							Any    		=BertGenerationTokenizer(UpperCAmelCase__		,					keep_accents=UpperCAmelCase__   )

										lowercase :							Optional[Any]    		=tokenizer.tokenize('''This is a test'''   )
										self.assertListEqual(UpperCAmelCase__		,					['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']   )

										self.assertListEqual(
										    tokenizer.convert_tokens_to_ids(UpperCAmelCase__   )		,					[285, 46, 10, 170, 382]		,					)

										lowercase :							Tuple    		=tokenizer.tokenize('''I was born in 92000, and this is falsé.'''   )
										self.assertListEqual(
										    UpperCAmelCase__		,					[
										        SPIECE_UNDERLINE + '''I''',
										        SPIECE_UNDERLINE + '''was''',
										        SPIECE_UNDERLINE + '''b''',
										        '''or''',
										        '''n''',
										        SPIECE_UNDERLINE + '''in''',
										        SPIECE_UNDERLINE + '''''',
										        '''9''',
										        '''2''',
										        '''0''',
										        '''0''',
										        '''0''',
										        ''',''',
										        SPIECE_UNDERLINE + '''and''',
										        SPIECE_UNDERLINE + '''this''',
										        SPIECE_UNDERLINE + '''is''',
										        SPIECE_UNDERLINE + '''f''',
										        '''al''',
										        '''s''',
										        '''é''',
										        '''.''',
										    ]		,					)
										lowercase :							List[Any]    		=tokenizer.convert_tokens_to_ids(UpperCAmelCase__   )
										self.assertListEqual(
										    UpperCAmelCase__		,					[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]		,					)

										lowercase :							Any    		=tokenizer.convert_ids_to_tokens(UpperCAmelCase__   )
										self.assertListEqual(
										    UpperCAmelCase__		,					[
										        SPIECE_UNDERLINE + '''I''',
										        SPIECE_UNDERLINE + '''was''',
										        SPIECE_UNDERLINE + '''b''',
										        '''or''',
										        '''n''',
										        SPIECE_UNDERLINE + '''in''',
										        SPIECE_UNDERLINE + '''''',
										        '''<unk>''',
										        '''2''',
										        '''0''',
										        '''0''',
										        '''0''',
										        ''',''',
										        SPIECE_UNDERLINE + '''and''',
										        SPIECE_UNDERLINE + '''this''',
										        SPIECE_UNDERLINE + '''is''',
										        SPIECE_UNDERLINE + '''f''',
										        '''al''',
										        '''s''',
										        '''<unk>''',
										        '''.''',
										    ]		,					)







				@cached_property
				def  lowerCamelCase_	(       self     :		Any   ):
										'''simple docstring'''
										return BertGenerationTokenizer.from_pretrained('''google/bert_for_seq_generation_L-24_bbc_encoder'''   )







				@slow
				def  lowerCamelCase_	(       self     :		List[Any]   ):
										'''simple docstring'''
										lowercase :							Optional[Any]    		='''Hello World!'''
										lowercase :							Dict    		=[18536, 2260, 101]

										self.assertListEqual(UpperCAmelCase__		,					self.big_tokenizer.encode(UpperCAmelCase__   )   )







				@slow
				def  lowerCamelCase_	(       self     :		List[Any]   ):
										'''simple docstring'''
										lowercase :							Tuple    		=(
										    '''This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'''
										    ''' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'''
										)
										lowercase :							Optional[int]    		=[
										    871,
										    419,
										    358,
										    946,
										    991,
										    2521,
										    452,
										    358,
										    1357,
										    387,
										    7751,
										    3536,
										    112,
										    985,
										    456,
										    126,
										    865,
										    938,
										    5400,
										    5734,
										    458,
										    1368,
										    467,
										    786,
										    2462,
										    5246,
										    1159,
										    633,
										    865,
										    4519,
										    457,
										    582,
										    852,
										    2557,
										    427,
										    916,
										    508,
										    405,
										    34324,
										    497,
										    391,
										    408,
										    11342,
										    1244,
										    385,
										    100,
										    938,
										    985,
										    456,
										    574,
										    362,
										    12597,
										    3200,
										    3129,
										    1172,
										]

										self.assertListEqual(UpperCAmelCase__		,					self.big_tokenizer.encode(UpperCAmelCase__   )   )







				@require_torch
				@slow
				def  lowerCamelCase_	(       self     :		Dict   ):
										'''simple docstring'''
										import torch

										from transformers import BertGenerationConfig, BertGenerationEncoder

										# Build sequence
										lowercase :							Union[str, Any]    		=list(self.big_tokenizer.get_vocab().keys()   )[:10]
										lowercase :							Union[str, Any]    		=''' '''.join(UpperCAmelCase__   )
										lowercase :							Optional[int]    		=self.big_tokenizer.encode_plus(UpperCAmelCase__		,					return_tensors='''pt'''		,					return_token_type_ids=UpperCAmelCase__   )
										lowercase :							Optional[Any]    		=self.big_tokenizer.batch_encode_plus(
										    [sequence + ''' ''' + sequence]		,					return_tensors='''pt'''		,					return_token_type_ids=UpperCAmelCase__   )

										lowercase :							str    		=BertGenerationConfig()
										lowercase :							str    		=BertGenerationEncoder(UpperCAmelCase__   )

										assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

										with torch.no_grad():
																model(**UpperCAmelCase__   )
																model(**UpperCAmelCase__   )







				@slow
				def  lowerCamelCase_	(       self     :		List[Any]   ):
										'''simple docstring'''
										# fmt: off
										lowercase :							Optional[Any]    		={'''input_ids''': [[39286, 458, 36335, 2001, 456, 13073, 13266, 455, 113, 7746, 1741, 11157, 391, 13073, 13266, 455, 113, 3967, 35412, 113, 4936, 109, 3870, 2377, 113, 30084, 45720, 458, 134, 17496, 112, 503, 11672, 113, 118, 112, 5665, 13347, 38687, 112, 1496, 31389, 112, 3268, 47264, 134, 962, 112, 16377, 8035, 23130, 430, 12169, 15518, 28592, 458, 146, 41697, 109, 391, 12169, 15518, 16689, 458, 146, 41358, 109, 452, 726, 4034, 111, 763, 35412, 5082, 388, 1903, 111, 9051, 391, 2870, 48918, 1900, 1123, 550, 998, 112, 9586, 15985, 455, 391, 410, 22955, 37636, 114], [448, 17496, 419, 3663, 385, 763, 113, 27533, 2870, 3283, 13043, 1639, 24713, 523, 656, 24013, 18550, 2521, 517, 27014, 21244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 11786, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [484, 2169, 7687, 21932, 18146, 726, 363, 17032, 3391, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
										# fmt: on

										self.tokenizer_integration_test_util(
										    expected_encoding=UpperCAmelCase__		,					model_name='''google/bert_for_seq_generation_L-24_bbc_encoder'''		,					revision='''c817d1fd1be2ffa69431227a1fe320544943d4db'''		,					)









'''simple docstring'''






import inspect
import re
from hashlib import shaaaa
from typing import Dict, List

from .arrow import arrow
from .audiofolder import audiofolder
from .csv import csv
from .imagefolder import imagefolder
from .json import json
from .pandas import pandas
from .parquet import parquet
from .sql import sql  # noqa F401
from .text import text





def lowerCamelCase__     (		__lowerCamelCase			:				List[str]				):







   '''simple docstring'''




   _UpperCAmelCase  :  int				       =[]
   for line in lines:
      _UpperCAmelCase  :  Dict				       =re.sub(R'#.*'			,       ''			,       __lowerCamelCase				)  # remove comments
      if line:
         filtered_lines.append(__lowerCamelCase				)
   _UpperCAmelCase  :  str				       ='\n'.join(__lowerCamelCase				)

   # Make a hash from all this code
   _UpperCAmelCase  :  str				       =full_str.encode('utf-8'				)
   return shaaaa(__lowerCamelCase				).hexdigest()


# get importable module names and hash for caching
lowercase				={
    'csv': (csv.__name__, _hash_python_lines(inspect.getsource(csv).splitlines())),
    'json': (json.__name__, _hash_python_lines(inspect.getsource(json).splitlines())),
    'pandas': (pandas.__name__, _hash_python_lines(inspect.getsource(pandas).splitlines())),
    'parquet': (parquet.__name__, _hash_python_lines(inspect.getsource(parquet).splitlines())),
    'arrow': (arrow.__name__, _hash_python_lines(inspect.getsource(arrow).splitlines())),
    'text': (text.__name__, _hash_python_lines(inspect.getsource(text).splitlines())),
    'imagefolder': (imagefolder.__name__, _hash_python_lines(inspect.getsource(imagefolder).splitlines())),
    'audiofolder': (audiofolder.__name__, _hash_python_lines(inspect.getsource(audiofolder).splitlines())),
}

# Used to infer the module to use based on the data files extensions
lowercase				={
    '.csv': ('csv', {}),
    '.tsv': ('csv', {'sep': '\t'}),
    '.json': ('json', {}),
    '.jsonl': ('json', {}),
    '.parquet': ('parquet', {}),
    '.arrow': ('arrow', {}),
    '.txt': ('text', {}),
}
_EXTENSION_TO_MODULE.update({ext: ('imagefolder', {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ('imagefolder', {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext: ('audiofolder', {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ('audiofolder', {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
lowercase				={'imagefolder', 'audiofolder'}

# Used to filter data files based on extensions given a module name
lowercase				={}
for _ext, (_module, _) in _EXTENSION_TO_MODULE.items():
 _MODULE_TO_EXTENSIONS.setdefault(_module, []).append(_ext)

_MODULE_TO_EXTENSIONS["imagefolder"].append('.zip')




_MODULE_TO_EXTENSIONS["audiofolder"].append('.zip')

