
'''simple docstring'''



from transformers import SqueezeBertTokenizer, SqueezeBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest

@require_tokenizers
class 				_a			(_lowerCAmelCase):
       SCREAMING_SNAKE_CASE =					SqueezeBertTokenizer
       SCREAMING_SNAKE_CASE =					SqueezeBertTokenizerFast
       SCREAMING_SNAKE_CASE =					True






       def     UpperCamelCase			(							self    ,							**A__ )      ->     Tuple:
          return SqueezeBertTokenizerFast.from_pretrained(self.tmpdirname    ,							**_lowerCamelCase )






       @slow
       def     UpperCamelCase			(							self )      ->     Dict:
          _SCREAMING_SNAKE_CASE       	=			SqueezeBertTokenizer.from_pretrained("""squeezebert/squeezebert-mnli-headless""" )

          _SCREAMING_SNAKE_CASE       	=			tokenizer.encode("""sequence builders"""    ,							add_special_tokens=_lowerCamelCase )
          _SCREAMING_SNAKE_CASE       	=			tokenizer.encode("""multi-sequence build"""    ,							add_special_tokens=_lowerCamelCase )

          _SCREAMING_SNAKE_CASE       	=			tokenizer.build_inputs_with_special_tokens(_lowerCamelCase )
          _SCREAMING_SNAKE_CASE       	=			tokenizer.build_inputs_with_special_tokens(_lowerCamelCase    ,							_lowerCamelCase )

          assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
          assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
              tokenizer.sep_token_id
          ]








'''simple docstring'''



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


UpperCamelCase__ :						int    							=					logging.get_logger(__name__)

UpperCamelCase__ :						Any    							=					{
    "openbmb/cpm-ant-10b": "https://huggingface.co/openbmb/cpm-ant-10b/blob/main/config.json"
    # See all CPMAnt models at https://huggingface.co/models?filter=cpmant
}

class 				_a			(_lowerCamelCase):





       """simple docstring"""




       SCREAMING_SNAKE_CASE =					'cpmant'






       def __init__(							self    ,							A__ = 3_07_20    ,							A__ = 40_96    ,							A__ = 32    ,							A__ = 1_28    ,							A__ = 1_02_40    ,							A__ = 48    ,							A__ = 0.0    ,							A__ = 5_12    ,							A__ = 20_48    ,							A__ = 1E-6    ,							A__ = 1.0    ,							A__ = 32    ,							A__ = 32    ,							A__ = 32    ,							A__ = True    ,							**A__    ,							)      ->     List[Any]:
          super().__init__(**A__ )
          _SCREAMING_SNAKE_CASE       	=			prompt_types
          _SCREAMING_SNAKE_CASE       	=			prompt_length
          _SCREAMING_SNAKE_CASE       	=			segment_types
          _SCREAMING_SNAKE_CASE       	=			hidden_size
          _SCREAMING_SNAKE_CASE       	=			num_attention_heads
          _SCREAMING_SNAKE_CASE       	=			dim_head
          _SCREAMING_SNAKE_CASE       	=			dim_ff
          _SCREAMING_SNAKE_CASE       	=			num_hidden_layers
          _SCREAMING_SNAKE_CASE       	=			position_bias_num_buckets
          _SCREAMING_SNAKE_CASE       	=			position_bias_max_distance
          _SCREAMING_SNAKE_CASE       	=			dropout_p
          _SCREAMING_SNAKE_CASE       	=			eps
          _SCREAMING_SNAKE_CASE       	=			use_cache
          _SCREAMING_SNAKE_CASE       	=			vocab_size
          _SCREAMING_SNAKE_CASE       	=			init_std






