






"""simple docstring"""



from collections import OrderedDict
from typing import Mapping

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


_UpperCamelCase		:  Tuple						=		logging.get_logger(__name__)

_UpperCamelCase		:  Optional[Any]						=		{
    'google/bigbird-roberta-base': 'https://huggingface.co/google/bigbird-roberta-base/resolve/main/config.json',
    'google/bigbird-roberta-large': 'https://huggingface.co/google/bigbird-roberta-large/resolve/main/config.json',
    'google/bigbird-base-trivia-itc': 'https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/config.json',
    # See all BigBird models at https://huggingface.co/models?filter=big_bird
}

class        a     (   A__	):
    UpperCAmelCase_ :     Tuple	     ="big_bird"







    def __init__(			self							,		_lowerCamelCase=5_0_3_5_8							,		_lowerCamelCase=7_6_8							,		_lowerCamelCase=1_2							,		_lowerCamelCase=1_2							,		_lowerCamelCase=3_0_7_2							,		_lowerCamelCase="gelu_new"							,		_lowerCamelCase=0.1							,		_lowerCamelCase=0.1							,		_lowerCamelCase=4_0_9_6							,		_lowerCamelCase=2							,		_lowerCamelCase=0.0_2							,		_lowerCamelCase=1e-12							,		_lowerCamelCase=True							,		_lowerCamelCase=0							,		_lowerCamelCase=1							,		_lowerCamelCase=2							,		_lowerCamelCase=6_6							,		_lowerCamelCase="block_sparse"							,		_lowerCamelCase=True							,		_lowerCamelCase=False							,		_lowerCamelCase=6_4							,		_lowerCamelCase=3							,		_lowerCamelCase=None							,		**_lowerCamelCase							,		):
      super().__init__(
          pad_token_id=_lowerCamelCase							,		bos_token_id=_lowerCamelCase							,		eos_token_id=_lowerCamelCase							,		sep_token_id=_lowerCamelCase							,		**_lowerCamelCase							,		)

      lowercase							    =       vocab_size
      lowercase							    =       max_position_embeddings
      lowercase							    =       hidden_size
      lowercase							    =       num_hidden_layers
      lowercase							    =       num_attention_heads
      lowercase							    =       intermediate_size
      lowercase							    =       hidden_act
      lowercase							    =       hidden_dropout_prob
      lowercase							    =       attention_probs_dropout_prob
      lowercase							    =       initializer_range
      lowercase							    =       type_vocab_size
      lowercase							    =       layer_norm_eps
      lowercase							    =       use_cache

      lowercase							    =       rescale_embeddings
      lowercase							    =       attention_type
      lowercase							    =       use_bias
      lowercase							    =       block_size
      lowercase							    =       num_random_blocks
      lowercase							    =       classifier_dropout


class        a     (   A__	):







    @property
    def 			UpperCamelCase_      (			self       ):
      if self.task == "multiple-choice":
        lowercase							    =       {0: 'batch', 1: 'choice', 2: 'sequence'}
      else:
        lowercase							    =       {0: 'batch', 1: 'sequence'}
      return OrderedDict(
          [
              ('input_ids', dynamic_axis),
              ('attention_mask', dynamic_axis),
          ]       )










import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin
class       _UpperCAmelCase					(       A__		,unittest.TestCase	):

				"""simple docstring"""




				lowercase__											=       CTRLTokenizer
				lowercase__											=       False
				lowercase__											=       False




				def 				lowercase__   (     self						:    Union[str, Any]  ):

								'''simple docstring'''
								super().setUp()

								# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
								lowercase__    =			['''adapt''', '''re@@''', '''a@@''', '''apt''', '''c@@''', '''t''', '''<unk>''']
								lowercase__    =			dict(zip(lowerCamelCase,  range(len(lowerCamelCase  )  )  )  )
								lowercase__    =			['''#version: 0.2''', '''a p''', '''ap t</w>''', '''r e''', '''a d''', '''ad apt</w>''', '''''']
								lowercase__    =			{'''unk_token''': '''<unk>'''}

								lowercase__    =			os.path.join(self.tmpdirname,  VOCAB_FILES_NAMES['''vocab_file''']  )
								lowercase__    =			os.path.join(self.tmpdirname,  VOCAB_FILES_NAMES['''merges_file''']  )
								with open(self.vocab_file,  '''w''',  encoding='''utf-8'''  ) as fp:
												fp.write(json.dumps(lowerCamelCase  ) + '''\n'''  )
								with open(self.merges_file,  '''w''',  encoding='''utf-8'''  ) as fp:
												fp.write('''\n'''.join(lowerCamelCase  )  )




				def 				lowercase__   (     self						:    Union[str, Any],  **lowerCamelCase						:    Dict  ):

								'''simple docstring'''
								kwargs.update(self.special_tokens_map  )
								return CTRLTokenizer.from_pretrained(self.tmpdirname,  **lowerCamelCase  )




				def 				lowercase__   (     self						:    Dict,  lowerCamelCase						:    Optional[int]  ):

								'''simple docstring'''
								lowercase__    =			'''adapt react readapt apt'''
								lowercase__    =			'''adapt react readapt apt'''
								return input_text, output_text




				def 				lowercase__   (     self						:    Tuple  ):

								'''simple docstring'''
								lowercase__    =			CTRLTokenizer(self.vocab_file,  self.merges_file,  **self.special_tokens_map  )
								lowercase__    =			'''adapt react readapt apt'''
								lowercase__    =			'''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
								lowercase__    =			tokenizer.tokenize(lowerCamelCase  )
								self.assertListEqual(lowerCamelCase,  lowerCamelCase  )

								lowercase__    =			tokens + [tokenizer.unk_token]

								lowercase__    =			[0, 1, 2, 4, 5, 1, 0, 3, 6]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase  ),  lowerCamelCase  )




