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 	lowerCamelCase_     (   UpperCAmelCase_						,	unittest.TestCase ):






    '''simple docstring'''






    a__	:						List[Any]						=      None
    a__	:						int						=      BloomTokenizerFast
    a__	:						Any						=      BloomTokenizerFast
    a__	:						Optional[Any]						=      True
    a__	:						Optional[int]						=      False
    a__	:						Union[str, Any]						=      """tokenizer_file"""
    a__	:						Dict						=      {"""bos_token""": """<s>""", """eos_token""": """</s>""", """unk_token""": """<unk>""", """pad_token""": """<pad>"""}







    def 			UpperCamelCase__   (	self)       ->	List[str]:
        super().setUp()
        __UpperCamelCase     :int			  =		BloomTokenizerFast.from_pretrained('''bigscience/tokenizer''')
        tokenizer.save_pretrained(self.tmpdirname)







    def 			UpperCamelCase__   (	self , **__lowercase)       ->	Union[str, Any]:
        kwargs.update(self.special_tokens_map)
        return BloomTokenizerFast.from_pretrained(self.tmpdirname , **__lowercase)







    def 			UpperCamelCase__   (	self)       ->	Union[str, Any]:
        __UpperCamelCase     :Union[str, Any]			  =		self.get_rust_tokenizer()

        __UpperCamelCase     :str			  =		['''The quick brown fox</s>''', '''jumps over the lazy dog</s>''']
        __UpperCamelCase     :Optional[int]			  =		[[2_175, 23_714, 73_173, 144_252, 2], [77, 132_619, 3_478, 368, 109_586, 35_433, 2]]

        __UpperCamelCase     :Dict			  =		tokenizer.batch_encode_plus(__lowercase)['''input_ids''']
        self.assertListEqual(__lowercase , __lowercase)

        __UpperCamelCase     :Dict			  =		tokenizer.batch_decode(__lowercase)
        self.assertListEqual(__lowercase , __lowercase)







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

                __UpperCamelCase     :str			  =		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 			UpperCamelCase__   (	self)       ->	Union[str, Any]:
        __UpperCamelCase     :int			  =		self.get_rust_tokenizer()
        __UpperCamelCase     :List[str]			  =		load_dataset('''xnli''' , '''all_languages''' , split='''test''' , streaming=__lowercase)

        __UpperCamelCase     :Optional[int]			  =		next(iter(__lowercase))['''premise''']  # pick up one data
        __UpperCamelCase     :Union[str, Any]			  =		list(sample_data.values())

        __UpperCamelCase     :Optional[int]			  =		list(map(tokenizer.encode , __lowercase))
        __UpperCamelCase     :Union[str, Any]			  =		[tokenizer.decode(__lowercase , clean_up_tokenization_spaces=__lowercase) for x in output_tokens]
        self.assertListEqual(__lowercase , __lowercase)







    def 			UpperCamelCase__   (	self)       ->	List[str]:
        # 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)







import logging

from transformers.configuration_utils import PretrainedConfig


__a  			=					logging.getLogger(__name__)
class  lowercase__(				UpperCAmelCase							):



	"""simple docstring"""




	a			:Optional[int]         =	'masked_bert'
	def __init__(       self  :			Optional[int]       ,							SCREAMING_SNAKE_CASE_  :			List[Any]=3_0_5_2_2       ,							SCREAMING_SNAKE_CASE_  :			List[str]=7_6_8       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]=1_2       ,							SCREAMING_SNAKE_CASE_  :			Any=1_2       ,							SCREAMING_SNAKE_CASE_  :			str=3_0_7_2       ,							SCREAMING_SNAKE_CASE_  :			Union[str, Any]="gelu"       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]=0.1       ,							SCREAMING_SNAKE_CASE_  :			List[str]=0.1       ,							SCREAMING_SNAKE_CASE_  :			Tuple=5_1_2       ,							SCREAMING_SNAKE_CASE_  :			str=2       ,							SCREAMING_SNAKE_CASE_  :			Dict=0.02       ,							SCREAMING_SNAKE_CASE_  :			Any=1e-12       ,							SCREAMING_SNAKE_CASE_  :			Any=0       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]="topK"       ,							SCREAMING_SNAKE_CASE_  :			Dict="constant"       ,							SCREAMING_SNAKE_CASE_  :			Optional[Any]=0.0       ,							**SCREAMING_SNAKE_CASE_  :			Optional[int]       ,							)       ->     Optional[Any]:
					super().__init__(pad_token_id=SCREAMING_SNAKE_CASE_       ,							**SCREAMING_SNAKE_CASE_       )

					lowercase_       =					vocab_size
					lowercase_       =					hidden_size
					lowercase_       =					num_hidden_layers
					lowercase_       =					num_attention_heads
					lowercase_       =					hidden_act
					lowercase_       =					intermediate_size
					lowercase_       =					hidden_dropout_prob
					lowercase_       =					attention_probs_dropout_prob
					lowercase_       =					max_position_embeddings
					lowercase_       =					type_vocab_size
					lowercase_       =					initializer_range
					lowercase_       =					layer_norm_eps
					lowercase_       =					pruning_method
					lowercase_       =					mask_init
					lowercase_       =					mask_scale




