

import os
import unittest

from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin


class  A						(							_UpperCAmelCase    ,							unittest.TestCase ):







    """simple docstring"""





    lowerCamelCase			=							TransfoXLTokenizer
    lowerCamelCase			=							False
    lowerCamelCase			=							False


    def 						snake_case__     (      self :       List[Any]		)->    Any:





        '''simple docstring'''







        super().setUp()

        A__          =   [
            '<unk>',
            '[CLS]',
            '[SEP]',
            'want',
            'unwanted',
            'wa',
            'un',
            'running',
            ',',
            'low',
            'l',
        ]
        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 						snake_case__     (      self :       str,**lowercase_ :       str		)->    Optional[int]:





        '''simple docstring'''







        A__          =   True
        return TransfoXLTokenizer.from_pretrained(self.tmpdirname,**lowercase_		)


    def 						snake_case__     (      self :       Any,lowercase_ :       Optional[int]		)->    int:





        '''simple docstring'''







        A__          =   '<unk> UNwanted , running'
        A__          =   '<unk> unwanted, running'
        return input_text, output_text


    def 						snake_case__     (      self :       List[str]		)->    Tuple:





        '''simple docstring'''







        A__          =   TransfoXLTokenizer(vocab_file=self.vocab_file,lower_case=lowercase_		)

        A__          =   tokenizer.tokenize('<unk> UNwanted , running'		)
        self.assertListEqual(lowercase_,['<unk>', 'unwanted', ',', 'running']		)

        self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_		),[0, 4, 8, 7]		)


    def 						snake_case__     (      self :       List[Any]		)->    Union[str, Any]:





        '''simple docstring'''







        A__          =   TransfoXLTokenizer(lower_case=lowercase_		)

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


    def 						snake_case__     (      self :       Tuple		)->    Optional[int]:





        '''simple docstring'''







        A__          =   TransfoXLTokenizer(lower_case=lowercase_		)

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


    def 						snake_case__     (      self :       Any		)->    str:





        '''simple docstring'''







        A__          =   TransfoXLTokenizer(lower_case=lowercase_		)
        A__          =   'Hello (bracket) and side-scrolled [and] Henry\'s $5,000 with 3.34 m. What\'s up!?'
        A__          =   [
            'Hello',
            '(',
            'bracket',
            ')',
            'and',
            'side',
            '@-@',
            'scrolled',
            '[',
            'and',
            ']',
            'Henry',
            '\'s',
            '$',
            '5',
            '@,@',
            '000',
            'with',
            '3',
            '@.@',
            '34',
            'm',
            '.',
            'What',
            '\'s',
            'up',
            '!',
            '?',
        ]

        self.assertListEqual(tokenizer.tokenize(lowercase_		),lowercase_		)

        self.assertEqual(tokenizer.convert_tokens_to_string(lowercase_		),lowercase_		)


    def 						snake_case__     (      self :       str		)->    str:





        '''simple docstring'''







        A__          =   self.get_tokenizer()
        A__          =   len(lowercase_		)

        tokenizer.add_tokens(['new1', 'new2']		)
        tokenizer.move_added_token('new1',1		)

        # Check that moved token is not copied (duplicate)
        self.assertEqual(len(lowercase_		),original_len + 2		)
        # Check that token is moved to specified id
        self.assertEqual(tokenizer.encode('new1'		),[1]		)
        self.assertEqual(tokenizer.decode([1]		),'new1'		)




from typing import Mapping

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


lowercase_       		=  logging.get_logger(__name__)

lowercase_       		=  {
    "t5-small": "https://huggingface.co/t5-small/resolve/main/config.json",
    "t5-base": "https://huggingface.co/t5-base/resolve/main/config.json",
    "t5-large": "https://huggingface.co/t5-large/resolve/main/config.json",
    "t5-3b": "https://huggingface.co/t5-3b/resolve/main/config.json",
    "t5-11b": "https://huggingface.co/t5-11b/resolve/main/config.json",
}


class  A						(							_UpperCAmelCase ):







    """simple docstring"""





    lowerCamelCase			=							't5'
    lowerCamelCase			=							['past_key_values']
    lowerCamelCase			=							{'hidden_size': 'd_model', 'num_attention_heads': 'num_heads', 'num_hidden_layers': 'num_layers'}


    def __init__(      self :       Union[str, Any],lowercase_ :       int=3_2_1_2_8,lowercase_ :       int=5_1_2,lowercase_ :       List[str]=6_4,lowercase_ :       Tuple=2_0_4_8,lowercase_ :       Any=6,lowercase_ :       List[str]=None,lowercase_ :       Union[str, Any]=8,lowercase_ :       int=3_2,lowercase_ :       Dict=1_2_8,lowercase_ :       Optional[int]=0.1,lowercase_ :       List[str]=1E-6,lowercase_ :       Tuple=1.0,lowercase_ :       Any="relu",lowercase_ :       Union[str, Any]=True,lowercase_ :       Optional[Any]=True,lowercase_ :       int=0,lowercase_ :       str=1,**lowercase_ :       str,)->    Any:





        '''simple docstring'''







        A__          =   vocab_size
        A__          =   d_model
        A__          =   d_kv
        A__          =   d_ff
        A__          =   num_layers
        A__          =   (
            num_decoder_layers if num_decoder_layers is not None else self.num_layers
        )  # default = symmetry
        A__          =   num_heads
        A__          =   relative_attention_num_buckets
        A__          =   relative_attention_max_distance
        A__          =   dropout_rate
        A__          =   layer_norm_epsilon
        A__          =   initializer_factor
        A__          =   feed_forward_proj
        A__          =   use_cache

        A__          =   self.feed_forward_proj.split('-'		)
        A__          =   act_info[-1]
        A__          =   act_info[0] == 'gated'

        if len(lowercase_		) > 1 and act_info[0] != "gated" or len(lowercase_		) > 2:
            raise ValueError(
                F'`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer.'
                'Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. '
                '\'gated-gelu\' or \'relu\''		)

        # for backwards compatibility
        if feed_forward_proj == "gated-gelu":
            A__          =   'gelu_new'

        super().__init__(
            pad_token_id=lowercase_,eos_token_id=lowercase_,is_encoder_decoder=lowercase_,**lowercase_,)




class  A						(							_UpperCAmelCase ):







    """simple docstring"""





    @property
    def 						snake_case__     (      self :       Tuple		)->    Mapping[str, Mapping[int, str]]:





        '''simple docstring'''







        A__          =   {
            'input_ids': {0: 'batch', 1: 'encoder_sequence'},
            'attention_mask': {0: 'batch', 1: 'encoder_sequence'},
        }
        if self.use_past:
            A__          =   'past_encoder_sequence + sequence'
            A__          =   {0: 'batch'}
            A__          =   {0: 'batch', 1: 'past_decoder_sequence + sequence'}
        else:
            A__          =   {0: 'batch', 1: 'decoder_sequence'}
            A__          =   {0: 'batch', 1: 'decoder_sequence'}

        if self.use_past:
            self.fill_with_past_key_values_(lowercase_,direction='inputs'		)

        return common_inputs


    @property
    def 						snake_case__     (      self :       Any		)->    int:





        '''simple docstring'''







        return 1_3

