






'''simple docstring'''

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 							__magic_name__     (	UpperCAmelCase_,						unittest.TestCase				):







 """simple docstring"""



 SCREAMING_SNAKE_CASE_					:      List[str]        =  None
 SCREAMING_SNAKE_CASE_					:      Tuple        =  BloomTokenizerFast
 SCREAMING_SNAKE_CASE_					:      List[str]        =  BloomTokenizerFast
 SCREAMING_SNAKE_CASE_					:      Union[str, Any]        =  True
 SCREAMING_SNAKE_CASE_					:      Optional[int]        =  False
 SCREAMING_SNAKE_CASE_					:      Dict        =  'tokenizer_file'
 SCREAMING_SNAKE_CASE_					:      List[str]        =  {'bos_token': '<s>', 'eos_token': '</s>', 'unk_token': '<unk>', 'pad_token': '<pad>'}
 def        lowerCamelCase__		(							self       )						->  List[Any]:
       super().setUp()
       lowercase_      :   int        =			BloomTokenizerFast.from_pretrained('bigscience/tokenizer'       )
       tokenizer.save_pretrained(self.tmpdirname       )
 def        lowerCamelCase__		(							self  ,      **_lowercase       )						->  Any:
       kwargs.update(self.special_tokens_map       )
       return BloomTokenizerFast.from_pretrained(self.tmpdirname  ,      **_lowercase       )
 def        lowerCamelCase__		(							self       )						->  Any:
       lowercase_      :   Optional[int]        =			self.get_rust_tokenizer()

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

       lowercase_      :   List[Any]        =			tokenizer.batch_encode_plus(_lowercase       )['input_ids']
       self.assertListEqual(_lowercase  ,      _lowercase       )

       lowercase_      :   Optional[Any]        =			tokenizer.batch_decode(_lowercase       )
       self.assertListEqual(_lowercase  ,      _lowercase       )
 def        lowerCamelCase__		(							self  ,      _lowercase=6       )						->  Any:
       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"       ):
                   lowercase_      :   int        =			self.rust_tokenizer_class.from_pretrained(_lowercase  ,      **_lowercase       )
                   # tokenizer_r.pad_token = None # Hotfixing padding = None
                   # Simple input
                   lowercase_      :   Dict        =			'This is a simple input'
                   lowercase_      :   List[str]        =			['This is a simple input 1', 'This is a simple input 2']
                   lowercase_      :   List[Any]        =			('This is a simple input', 'This is a pair')
                   lowercase_      :   List[str]        =			[
                       ('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(_lowercase  ,      max_length=_lowercase       )
                         tokenizer_r.encode_plus(_lowercase  ,      max_length=_lowercase       )

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

                   lowercase_      :   List[Any]        =			None  # Hotfixing padding = None
                   self.assertRaises(_lowercase  ,      tokenizer_r.encode  ,      _lowercase  ,      max_length=_lowercase  ,      padding='max_length'       )

                   # Simple input
                   self.assertRaises(_lowercase  ,      tokenizer_r.encode_plus  ,      _lowercase  ,      max_length=_lowercase  ,      padding='max_length'       )

                   # Simple input
                   self.assertRaises(
                       _lowercase  ,      tokenizer_r.batch_encode_plus  ,      _lowercase  ,      max_length=_lowercase  ,      padding='max_length'  ,      )

                   # Pair input
                   self.assertRaises(_lowercase  ,      tokenizer_r.encode  ,      _lowercase  ,      max_length=_lowercase  ,      padding='max_length'       )

                   # Pair input
                   self.assertRaises(_lowercase  ,      tokenizer_r.encode_plus  ,      _lowercase  ,      max_length=_lowercase  ,      padding='max_length'       )

                   # Pair input
                   self.assertRaises(
                       _lowercase  ,      tokenizer_r.batch_encode_plus  ,      _lowercase  ,      max_length=_lowercase  ,      padding='max_length'  ,      )
 def        lowerCamelCase__		(							self       )						->  int:
       lowercase_      :   List[str]        =			self.get_rust_tokenizer()
       lowercase_      :   Dict        =			load_dataset('xnli'  ,      'all_languages'  ,      split='test'  ,      streaming=_lowercase       )

       lowercase_      :   Optional[Any]        =			next(iter(_lowercase       )       )['premise']  # pick up one data
       lowercase_      :   Any        =			list(sample_data.values()       )

       lowercase_      :   int        =			list(map(tokenizer.encode  ,      _lowercase       )       )
       lowercase_      :   Optional[Any]        =			[tokenizer.decode(_lowercase  ,      clean_up_tokenization_spaces=_lowercase       ) for x in output_tokens]
       self.assertListEqual(_lowercase  ,      _lowercase       )







 def        lowerCamelCase__		(							self       )						->  int:
       # The test has to be overriden because BLOOM uses ALiBi positional embeddings that does not have
       # any sequence length constraints. This test of the parent class will fail since it relies on the
       # maximum sequence length of the positoonal embeddings.
       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       )








'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A:      Dict  				=				logging.get_logger(__name__)

A:      Optional[Any]  				=				{
    "google/vit-base-patch16-224": "https://huggingface.co/vit-base-patch16-224/resolve/main/config.json",
    # See all ViT models at https://huggingface.co/models?filter=vit
}






class 							__magic_name__     (	UpperCAmelCase_				):







	"""simple docstring"""



	SCREAMING_SNAKE_CASE_					:      Optional[Any]        =  'vit'
	def __init__(							self  ,      _lowercase=768  ,      _lowercase=12  ,      _lowercase=12  ,      _lowercase=3072  ,      _lowercase="gelu"  ,      _lowercase=0.0  ,      _lowercase=0.0  ,      _lowercase=0.02  ,      _lowercase=1E-1_2  ,      _lowercase=224  ,      _lowercase=16  ,      _lowercase=3  ,      _lowercase=True  ,      _lowercase=16  ,      **_lowercase  ,      )						->  List[str]:
							super().__init__(**_lowercase       )

							lowercase_      :   Optional[int]        =			hidden_size
							lowercase_      :   str        =			num_hidden_layers
							lowercase_      :   str        =			num_attention_heads
							lowercase_      :   int        =			intermediate_size
							lowercase_      :   List[Any]        =			hidden_act
							lowercase_      :   Any        =			hidden_dropout_prob
							lowercase_      :   List[str]        =			attention_probs_dropout_prob
							lowercase_      :   str        =			initializer_range
							lowercase_      :   List[str]        =			layer_norm_eps
							lowercase_      :   Any        =			image_size
							lowercase_      :   Tuple        =			patch_size
							lowercase_      :   Optional[Any]        =			num_channels
							lowercase_      :   str        =			qkv_bias
							lowercase_      :   List[str]        =			encoder_stride






class 							__magic_name__     (	UpperCAmelCase_				):







	"""simple docstring"""



	SCREAMING_SNAKE_CASE_					:      Any        =  version.parse('1.11'				)
	@property
	def        lowerCamelCase__		(							self       )						->  Mapping[str, Mapping[int, str]]:
							return OrderedDict(
							    [
							        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
							    ]       )







	@property
	def        lowerCamelCase__		(							self       )						->  float:
							return 1E-4
