


'''simple docstring'''
from __future__ import annotations

from typing import Dict

from ...configuration_utils import PretrainedConfig


__snake_case							      =     {
    '''susnato/ernie-m-base_pytorch''': '''https://huggingface.co/susnato/ernie-m-base_pytorch/blob/main/config.json''',
    '''susnato/ernie-m-large_pytorch''': '''https://huggingface.co/susnato/ernie-m-large_pytorch/blob/main/config.json''',
}
class    lowercase	(							A__					):

		"""simple docstring"""

		_a     =				'ernie_m'
		_a     =				{"dropout": "classifier_dropout", "num_classes": "num_labels"}




		def __init__(		self    ,   UpperCamelCase_ = 250002    ,   UpperCamelCase_ = 768    ,   UpperCamelCase_ = 12    ,   UpperCamelCase_ = 12    ,   UpperCamelCase_ = 3072    ,   UpperCamelCase_ = "gelu"    ,   UpperCamelCase_ = 0.1    ,   UpperCamelCase_ = 0.1    ,   UpperCamelCase_ = 514    ,   UpperCamelCase_ = 0.02    ,   UpperCamelCase_ = 1    ,   UpperCamelCase_ = 1e-05    ,   UpperCamelCase_=None    ,   UpperCamelCase_=False    ,   UpperCamelCase_=0.0    ,   **UpperCamelCase_    ,   ):

							'''simple docstring'''


							super().__init__(pad_token_id=UpperCamelCase_    ,   **UpperCamelCase_							)
							UpperCamelCase__   :Tuple												= vocab_size
							UpperCamelCase__   :List[Any]												= hidden_size
							UpperCamelCase__   :int												= num_hidden_layers
							UpperCamelCase__   :Optional[int]												= num_attention_heads
							UpperCamelCase__   :int												= intermediate_size
							UpperCamelCase__   :str												= hidden_act
							UpperCamelCase__   :str												= hidden_dropout_prob
							UpperCamelCase__   :Union[str, Any]												= attention_probs_dropout_prob
							UpperCamelCase__   :Any												= max_position_embeddings
							UpperCamelCase__   :int												= initializer_range
							UpperCamelCase__   :str												= layer_norm_eps
							UpperCamelCase__   :Optional[Any]												= classifier_dropout
							UpperCamelCase__   :Union[str, Any]												= is_decoder
							UpperCamelCase__   :Union[str, Any]												= act_dropout



'''simple docstring'''
import re

from filelock import FileLock


try:
		import nltk

		__snake_case							      =     True
except (ImportError, ModuleNotFoundError):
		__snake_case							      =     False

if NLTK_AVAILABLE:
		with FileLock('''.lock''') as lock:
				nltk.download('''punkt''', quiet=True)


def 			a      (			__a   )  ->	str:



					'''simple docstring'''






					re.sub('''<n>''' ,					'''''' ,					__a   )  # remove pegasus newline char
					assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
					return "\n".join(nltk.sent_tokenize(__a   )   )