





import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class      A       (	__lowercase		,      unittest.TestCase						):
      _snake_case							     =None
      _snake_case							     =BloomTokenizerFast
      _snake_case							     =BloomTokenizerFast
      _snake_case							     =True
      _snake_case							     =False
      _snake_case							     ='''tokenizer_file'''
      _snake_case							     ={'''bos_token''': '''<s>''', '''eos_token''': '''</s>''', '''unk_token''': '''<unk>''', '''pad_token''': '''<pad>'''}



      def 	lowerCAmelCase__    (	self:						Dict       )						->    Optional[Any]:
         '''simple docstring'''

         super().setUp()
         UpperCAmelCase_											=BloomTokenizerFast.from_pretrained("bigscience/tokenizer"       )
         tokenizer.save_pretrained(self.tmpdirname       )



      def 	lowerCAmelCase__    (	self:						Optional[int]		,  **_lowerCAmelCase:						str       )						->    Optional[int]:
         '''simple docstring'''

         kwargs.update(self.special_tokens_map       )
         return BloomTokenizerFast.from_pretrained(self.tmpdirname		,  **_lowerCAmelCase       )



      def 	lowerCAmelCase__    (	self:						str       )						->    Any:
         '''simple docstring'''

         UpperCAmelCase_											=self.get_rust_tokenizer()

         UpperCAmelCase_											=["The quick brown fox</s>", "jumps over the lazy dog</s>"]
         UpperCAmelCase_											=[[2175, 2_3714, 7_3173, 14_4252, 2], [77, 13_2619, 3478, 368, 10_9586, 3_5433, 2]]

         UpperCAmelCase_											=tokenizer.batch_encode_plus(_lowerCAmelCase       )["input_ids"]
         self.assertListEqual(_lowerCAmelCase		,  _lowerCAmelCase       )

         UpperCAmelCase_											=tokenizer.batch_decode(_lowerCAmelCase       )
         self.assertListEqual(_lowerCAmelCase		,  _lowerCAmelCase       )



      def 	lowerCAmelCase__    (	self:						Optional[Any]		,  _lowerCAmelCase:						List[Any]=6       )						->    Optional[Any]:
         '''simple docstring'''

         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
            with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'       ):
               UpperCAmelCase_											=self.rust_tokenizer_class.from_pretrained(_lowerCAmelCase		,  **_lowerCAmelCase       )
               # tokenizer_r.pad_token = None # Hotfixing padding = None
               # Simple input
               UpperCAmelCase_											="This is a simple input"
               UpperCAmelCase_											=["This is a simple input 1", "This is a simple input 2"]
               UpperCAmelCase_											=("This is a simple input", "This is a pair")
               UpperCAmelCase_											=[
                   ("This is a simple input 1", "This is a simple input 2"),
                   ("This is a simple pair 1", "This is a simple pair 2"),
               ]

               # Simple input tests
               try:
                  tokenizer_r.encode(_lowerCAmelCase		,  max_length=_lowerCAmelCase       )
                  tokenizer_r.encode_plus(_lowerCAmelCase		,  max_length=_lowerCAmelCase       )

                  tokenizer_r.batch_encode_plus(_lowerCAmelCase		,  max_length=_lowerCAmelCase       )
                  tokenizer_r.encode(_lowerCAmelCase		,  max_length=_lowerCAmelCase       )
                  tokenizer_r.batch_encode_plus(_lowerCAmelCase		,  max_length=_lowerCAmelCase       )
               except ValueError:
                  self.fail("Bloom Tokenizer should be able to deal with padding"       )

               UpperCAmelCase_											=None  # Hotfixing padding = None
               self.assertRaises(_lowerCAmelCase		,  tokenizer_r.encode		,  _lowerCAmelCase		,  max_length=_lowerCAmelCase		,  padding="max_length"       )

               # Simple input
               self.assertRaises(_lowerCAmelCase		,  tokenizer_r.encode_plus		,  _lowerCAmelCase		,  max_length=_lowerCAmelCase		,  padding="max_length"       )

               # Simple input
               self.assertRaises(
                   _lowerCAmelCase		,  tokenizer_r.batch_encode_plus		,  _lowerCAmelCase		,  max_length=_lowerCAmelCase		,  padding="max_length"		,  )

               # Pair input
               self.assertRaises(_lowerCAmelCase		,  tokenizer_r.encode		,  _lowerCAmelCase		,  max_length=_lowerCAmelCase		,  padding="max_length"       )

               # Pair input
               self.assertRaises(_lowerCAmelCase		,  tokenizer_r.encode_plus		,  _lowerCAmelCase		,  max_length=_lowerCAmelCase		,  padding="max_length"       )

               # Pair input
               self.assertRaises(
                   _lowerCAmelCase		,  tokenizer_r.batch_encode_plus		,  _lowerCAmelCase		,  max_length=_lowerCAmelCase		,  padding="max_length"		,  )



      def 	lowerCAmelCase__    (	self:						Union[str, Any]       )						->    Dict:
         '''simple docstring'''

         UpperCAmelCase_											=self.get_rust_tokenizer()
         UpperCAmelCase_											=load_dataset("xnli"		,  "all_languages"		,  split="test"		,  streaming=_lowerCAmelCase       )

         UpperCAmelCase_											=next(iter(_lowerCAmelCase       )       )["premise"]  # pick up one data
         UpperCAmelCase_											=list(sample_data.values()       )

         UpperCAmelCase_											=list(map(tokenizer.encode		,  _lowerCAmelCase       )       )
         UpperCAmelCase_											=[tokenizer.decode(_lowerCAmelCase		,  clean_up_tokenization_spaces=_lowerCAmelCase       ) for x in output_tokens]
         self.assertListEqual(_lowerCAmelCase		,  _lowerCAmelCase       )






      def 	lowerCAmelCase__    (	self:						Dict       )						->    Any:
         '''simple docstring'''

         self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map       )		,  1       )
         self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values()       )[0]       )		,  1       )











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


__lowercase  :   Optional[int]						      =logging.get_logger(__name__)

__lowercase  :   Union[str, Any]						      ={
    """Visual-Attention-Network/van-base""": (
        """https://huggingface.co/Visual-Attention-Network/van-base/blob/main/config.json"""
    ),
}

class      A       (	__lowercase						):
      _snake_case							     ='''van'''



      def __init__(	self:						str		,  _lowerCAmelCase:						List[Any]=224		,  _lowerCAmelCase:						Any=3		,  _lowerCAmelCase:						Tuple=[7, 3, 3, 3]		,  _lowerCAmelCase:						Union[str, Any]=[4, 2, 2, 2]		,  _lowerCAmelCase:						List[str]=[64, 128, 320, 512]		,  _lowerCAmelCase:						Tuple=[3, 3, 12, 3]		,  _lowerCAmelCase:						Union[str, Any]=[8, 8, 4, 4]		,  _lowerCAmelCase:						Any="gelu"		,  _lowerCAmelCase:						Optional[int]=0.02		,  _lowerCAmelCase:						List[str]=1e-6		,  _lowerCAmelCase:						Any=1e-2		,  _lowerCAmelCase:						Any=0.0		,  _lowerCAmelCase:						Optional[Any]=0.0		,  **_lowerCAmelCase:						List[str]		,  )						->    Dict:
         '''simple docstring'''

         super().__init__(**_lowerCAmelCase       )
         UpperCAmelCase_											=image_size
         UpperCAmelCase_											=num_channels
         UpperCAmelCase_											=patch_sizes
         UpperCAmelCase_											=strides
         UpperCAmelCase_											=hidden_sizes
         UpperCAmelCase_											=depths
         UpperCAmelCase_											=mlp_ratios
         UpperCAmelCase_											=hidden_act
         UpperCAmelCase_											=initializer_range
         UpperCAmelCase_											=layer_norm_eps
         UpperCAmelCase_											=layer_scale_init_value
         UpperCAmelCase_											=drop_path_rate
         UpperCAmelCase_											=dropout_rate




