

'''simple docstring'''



from ...configuration_utils import PretrainedConfig
from ...utils import logging


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

__snake_case :	Union[str, Any]      						=			{
    'naver-clova-ix/donut-base': 'https://huggingface.co/naver-clova-ix/donut-base/resolve/main/config.json',
    # See all Donut models at https://huggingface.co/models?filter=donut-swin
}



class lowerCamelCase (  lowercase_						):



			'''simple docstring'''






			__snake_case    	=       'donut-swin'

			__snake_case    	=       {
			    'num_attention_heads': 'num_heads',
			    'num_hidden_layers': 'num_layers',
			}


			def __init__(      self       :						List[str]		,			lowerCAmelCase_       :						Optional[Any]=2_24		,			lowerCAmelCase_       :						Optional[int]=4		,			lowerCAmelCase_       :						Any=3		,			lowerCAmelCase_       :						Any=96		,			lowerCAmelCase_       :						Optional[int]=[2, 2, 6, 2]		,			lowerCAmelCase_       :						List[Any]=[3, 6, 12, 24]		,			lowerCAmelCase_       :						Optional[Any]=7		,			lowerCAmelCase_       :						List[Any]=4.0		,			lowerCAmelCase_       :						List[Any]=True		,			lowerCAmelCase_       :						Any=0.0		,			lowerCAmelCase_       :						Union[str, Any]=0.0		,			lowerCAmelCase_       :						Any=0.1		,			lowerCAmelCase_       :						Union[str, Any]="gelu"		,			lowerCAmelCase_       :						List[str]=False		,			lowerCAmelCase_       :						int=0.02		,			lowerCAmelCase_       :						int=1e-5		,			**lowerCAmelCase_       :						Tuple		,			)			->		int:





									'''simple docstring'''
									super().__init__(**__UpperCAmelCase )

									A__     :   str      =image_size
									A__     :   Dict      =patch_size
									A__     :   Dict      =num_channels
									A__     :   List[Any]      =embed_dim
									A__     :   Union[str, Any]      =depths
									A__     :   int      =len(__UpperCAmelCase )
									A__     :   Any      =num_heads
									A__     :   Optional[int]      =window_size
									A__     :   str      =mlp_ratio
									A__     :   int      =qkv_bias
									A__     :   List[str]      =hidden_dropout_prob
									A__     :   str      =attention_probs_dropout_prob
									A__     :   Optional[Any]      =drop_path_rate
									A__     :   Optional[int]      =hidden_act
									A__     :   List[str]      =use_absolute_embeddings
									A__     :   int      =layer_norm_eps
									A__     :   Union[str, Any]      =initializer_range
									# we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
									# this indicates the channel dimension after the last stage of the model
									A__     :   Union[str, Any]      =int(embed_dim * 2 ** (len(__UpperCAmelCase ) - 1) )









import os
import unittest

from transformers import BatchEncoding
from transformers.models.bert.tokenization_bert import (
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer
from transformers.testing_utils import require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin






class 		lowercase_					(	lowercase ,  unittest.TestCase   ):






      '''simple docstring'''




      __snake_case       =  ProphetNetTokenizer
      __snake_case       =  False







      def       __lowerCAmelCase					(      self      :						Optional[int]  )    ->Optional[Any]:




       """simple docstring"""


       super().setUp()

       a		  =      [
           '''[UNK]''',
           '''[CLS]''',
           '''[SEP]''',
           '''[PAD]''',
           '''[MASK]''',
           '''want''',
           '''##want''',
           '''##ed''',
           '''wa''',
           '''un''',
           '''runn''',
           '''##ing''',
           ''',''',
           '''low''',
           '''lowest''',
       ]
       a		  =      os.path.join(self.tmpdirname ,					VOCAB_FILES_NAMES['''vocab_file''']  )
       with open(self.vocab_file ,					'''w''' ,					encoding='''utf-8'''  ) as vocab_writer:
        vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]  )  )







      def       __lowerCAmelCase					(      self      :						List[str] ,					__UpperCAmelCase      :						str  )    ->Dict:




       """simple docstring"""


       a		  =      '''UNwant\u00E9d,running'''
       a		  =      '''unwanted, running'''
       return input_text, output_text







      def       __lowerCAmelCase					(      self      :						Optional[int]  )    ->Optional[Any]:




       """simple docstring"""


       a		  =      self.tokenizer_class(self.vocab_file  )

       a		  =      tokenizer.tokenize('''UNwant\u00E9d,running'''  )
       self.assertListEqual(__UpperCAmelCase ,					['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']  )
       self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase  ) ,					[9, 6, 7, 12, 10, 11]  )







      def       __lowerCAmelCase					(      self      :						int  )    ->Any:




       """simple docstring"""


       a		  =      BasicTokenizer()

       self.assertListEqual(tokenizer.tokenize('''ah\u535A\u63A8zz'''  ) ,					['''ah''', '''\u535A''', '''\u63A8''', '''zz''']  )







      def       __lowerCAmelCase					(      self      :						Any  )    ->int:




       """simple docstring"""


       a		  =      BasicTokenizer(do_lower_case=__UpperCAmelCase  )

       self.assertListEqual(
           tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''  ) ,					['''hello''', '''!''', '''how''', '''are''', '''you''', '''?''']  )
       self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''  ) ,					['''hello''']  )







      def       __lowerCAmelCase					(      self      :						Union[str, Any]  )    ->Optional[int]:




       """simple docstring"""


       a		  =      BasicTokenizer(do_lower_case=__UpperCAmelCase ,					strip_accents=__UpperCAmelCase  )

       self.assertListEqual(
           tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''  ) ,					['''hällo''', '''!''', '''how''', '''are''', '''you''', '''?''']  )
       self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''  ) ,					['''h\u00E9llo''']  )







      def       __lowerCAmelCase					(      self      :						Dict  )    ->str:




       """simple docstring"""


       a		  =      BasicTokenizer(do_lower_case=__UpperCAmelCase ,					strip_accents=__UpperCAmelCase  )

       self.assertListEqual(
           tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''  ) ,					['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']  )
       self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''  ) ,					['''hello''']  )







      def       __lowerCAmelCase					(      self      :						Any  )    ->Dict:




       """simple docstring"""


       a		  =      BasicTokenizer(do_lower_case=__UpperCAmelCase  )

       self.assertListEqual(
           tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''  ) ,					['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']  )
       self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''  ) ,					['''hello''']  )







      def       __lowerCAmelCase					(      self      :						Tuple  )    ->Optional[Any]:




       """simple docstring"""


       a		  =      BasicTokenizer(do_lower_case=__UpperCAmelCase  )

       self.assertListEqual(
           tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''  ) ,					['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']  )







      def       __lowerCAmelCase					(      self      :						Tuple  )    ->Tuple:




       """simple docstring"""


       a		  =      BasicTokenizer(do_lower_case=__UpperCAmelCase ,					strip_accents=__UpperCAmelCase  )

       self.assertListEqual(
           tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''  ) ,					['''HäLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']  )







      def       __lowerCAmelCase					(      self      :						int  )    ->Optional[int]:




       """simple docstring"""


       a		  =      BasicTokenizer(do_lower_case=__UpperCAmelCase ,					strip_accents=__UpperCAmelCase  )

       self.assertListEqual(
           tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''  ) ,					['''HaLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']  )







      def       __lowerCAmelCase					(      self      :						Any  )    ->int:




       """simple docstring"""


       a		  =      BasicTokenizer(do_lower_case=__UpperCAmelCase ,					never_split=['''[UNK]''']  )

       self.assertListEqual(
           tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU? [UNK]'''  ) ,					['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''', '''[UNK]''']  )







      def       __lowerCAmelCase					(      self      :						Union[str, Any]  )    ->int:




       """simple docstring"""


       a		  =      ['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']

       a		  =      {}
       for i, token in enumerate(__UpperCAmelCase  ):
        a		  =      i
       a		  =      WordpieceTokenizer(vocab=__UpperCAmelCase ,					unk_token='''[UNK]'''  )

       self.assertListEqual(tokenizer.tokenize(''''''  ) ,					[]  )

       self.assertListEqual(tokenizer.tokenize('''unwanted running'''  ) ,					['''un''', '''##want''', '''##ed''', '''runn''', '''##ing''']  )

       self.assertListEqual(tokenizer.tokenize('''unwantedX running'''  ) ,					['''[UNK]''', '''runn''', '''##ing''']  )







      @require_torch
      def       __lowerCAmelCase					(      self      :						int  )    ->int:




       """simple docstring"""


       a		  =      self.tokenizer_class.from_pretrained('''microsoft/prophetnet-large-uncased'''  )

       a		  =      ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
       a		  =      [1_037, 2_146, 20_423, 2_005, 7_680, 7_849, 3_989, 1_012, 102]
       a		  =      tokenizer(__UpperCAmelCase ,					padding=__UpperCAmelCase ,					return_tensors='''pt'''  )
       self.assertIsInstance(__UpperCAmelCase ,					__UpperCAmelCase  )
       a		  =      list(batch.input_ids.numpy()[0]  )
       self.assertListEqual(__UpperCAmelCase ,					__UpperCAmelCase  )

       self.assertEqual((2, 9) ,					batch.input_ids.shape  )
       self.assertEqual((2, 9) ,					batch.attention_mask.shape  )







      def       __lowerCAmelCase					(      self      :						Optional[Any]  )    ->List[str]:




       """simple docstring"""


       self.assertTrue(_is_whitespace(''' '''  )  )
       self.assertTrue(_is_whitespace('''\t'''  )  )
       self.assertTrue(_is_whitespace('''\r'''  )  )
       self.assertTrue(_is_whitespace('''\n'''  )  )
       self.assertTrue(_is_whitespace('''\u00A0'''  )  )

       self.assertFalse(_is_whitespace('''A'''  )  )
       self.assertFalse(_is_whitespace('''-'''  )  )







      def       __lowerCAmelCase					(      self      :						Any  )    ->List[str]:




       """simple docstring"""


       self.assertTrue(_is_control('''\u0005'''  )  )

       self.assertFalse(_is_control('''A'''  )  )
       self.assertFalse(_is_control(''' '''  )  )
       self.assertFalse(_is_control('''\t'''  )  )
       self.assertFalse(_is_control('''\r'''  )  )







      def       __lowerCAmelCase					(      self      :						List[Any]  )    ->List[str]:




       """simple docstring"""


       self.assertTrue(_is_punctuation('''-'''  )  )
       self.assertTrue(_is_punctuation('''$'''  )  )
       self.assertTrue(_is_punctuation('''`'''  )  )
       self.assertTrue(_is_punctuation('''.'''  )  )

       self.assertFalse(_is_punctuation('''A'''  )  )
       self.assertFalse(_is_punctuation(''' '''  )  )







      @slow
      def       __lowerCAmelCase					(      self      :						List[str]  )    ->List[str]:




       """simple docstring"""


       a		  =      self.tokenizer_class.from_pretrained('''microsoft/prophetnet-large-uncased'''  )

       a		  =      tokenizer.encode('''sequence builders''' ,					add_special_tokens=__UpperCAmelCase  )
       a		  =      tokenizer.encode('''multi-sequence build''' ,					add_special_tokens=__UpperCAmelCase  )

       a		  =      tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase  )
       a		  =      tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase ,					__UpperCAmelCase  )

       assert encoded_sentence == text + [102]
       assert encoded_pair == text + [102] + text_a + [102]


