





'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


__magic_name__   :						str    =			{
    """configuration_roc_bert""": ["""ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """RoCBertConfig"""],
    """tokenization_roc_bert""": ["""RoCBertTokenizer"""],
}

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 pass

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __magic_name__   :						Optional[int]    =			[
     """ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """RoCBertForCausalLM""",
     """RoCBertForMaskedLM""",
     """RoCBertForMultipleChoice""",
     """RoCBertForPreTraining""",
     """RoCBertForQuestionAnswering""",
     """RoCBertForSequenceClassification""",
     """RoCBertForTokenClassification""",
     """RoCBertLayer""",
     """RoCBertModel""",
     """RoCBertPreTrainedModel""",
     """load_tf_weights_in_roc_bert""",
 ]

if TYPE_CHECKING:
 from .configuration_roc_bert import ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RoCBertConfig
 from .tokenization_roc_bert import RoCBertTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  raise OptionalDependencyNotAvailable()

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_roc_bert import (
      ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
      RoCBertForCausalLM,
      RoCBertForMaskedLM,
      RoCBertForMultipleChoice,
      RoCBertForPreTraining,
      RoCBertForQuestionAnswering,
      RoCBertForSequenceClassification,
      RoCBertForTokenClassification,
      RoCBertLayer,
      RoCBertModel,
      RoCBertPreTrainedModel,
      load_tf_weights_in_roc_bert,
  )


else:
 import sys

 __magic_name__   :						List[Any]    =			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)









'''simple docstring'''



from __future__ import annotations

import numpy as np




def 				snake_case_      (		SCREAMING_SNAKE_CASE__       ):







  '''simple docstring'''



  return np.maximum(0					,	SCREAMING_SNAKE_CASE__       )


if __name__ == "__main__":
 print(np.array(relu([-1, 0, 5])))  # --> [0, 0, 5]


