



"""simple docstring"""







from collections import OrderedDict
from typing import TYPE_CHECKING, Any, List, Mapping, Optional, Union

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


if TYPE_CHECKING:
							from ...onnx.config import PatchingSpec
							from ...tokenization_utils_base import PreTrainedTokenizerBase


lowerCAmelCase_  		=  logging.get_logger(__name__)

lowerCAmelCase_  		=  {
    'allenai/longformer-base-4096': 'https://huggingface.co/allenai/longformer-base-4096/resolve/main/config.json',
    'allenai/longformer-large-4096': 'https://huggingface.co/allenai/longformer-large-4096/resolve/main/config.json',
    'allenai/longformer-large-4096-finetuned-triviaqa': (
        'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/config.json'
    ),
    'allenai/longformer-base-4096-extra.pos.embd.only': (
        'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/config.json'
    ),
    'allenai/longformer-large-4096-extra.pos.embd.only': (
        'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/config.json'
    ),
}
class 			__A			(      A__       ):







		'''simple docstring'''





		lowerCAmelCase     :   Any        =							"longformer"







		def __init__(      self		:    Union[str, Any]     ,_snake_case		:    Union[List[int], int] = 512     ,_snake_case		:    int = 2     ,_snake_case		:    int = 1     ,_snake_case		:    int = 0     ,_snake_case		:    int = 2     ,_snake_case		:    int = 30_522     ,_snake_case		:    int = 768     ,_snake_case		:    int = 12     ,_snake_case		:    int = 12     ,_snake_case		:    int = 3_072     ,_snake_case		:    str = "gelu"     ,_snake_case		:    float = 0.1     ,_snake_case		:    float = 0.1     ,_snake_case		:    int = 512     ,_snake_case		:    int = 2     ,_snake_case		:    float = 0.02     ,_snake_case		:    float = 1e-12     ,_snake_case		:    bool = False     ,**_snake_case		:    int     ,)   ->						str:






				"""simple docstring"""



				super().__init__(pad_token_id=__snake_case     ,**__snake_case		)

				lowercase__  :       int												=     attention_window
				lowercase__  :       Dict												=     sep_token_id
				lowercase__  :       Any												=     bos_token_id
				lowercase__  :       Union[str, Any]												=     eos_token_id
				lowercase__  :       Union[str, Any]												=     vocab_size
				lowercase__  :       Optional[int]												=     hidden_size
				lowercase__  :       Any												=     num_hidden_layers
				lowercase__  :       List[str]												=     num_attention_heads
				lowercase__  :       Any												=     hidden_act
				lowercase__  :       Optional[Any]												=     intermediate_size
				lowercase__  :       str												=     hidden_dropout_prob
				lowercase__  :       Optional[int]												=     attention_probs_dropout_prob
				lowercase__  :       int												=     max_position_embeddings
				lowercase__  :       Union[str, Any]												=     type_vocab_size
				lowercase__  :       List[Any]												=     initializer_range
				lowercase__  :       Tuple												=     layer_norm_eps
				lowercase__  :       str												=     onnx_export





class 			__A			(      A__       ):







		'''simple docstring'''





		def __init__(      self		:    Any     ,_snake_case		:    "PretrainedConfig"     ,_snake_case		:    str = "default"     ,_snake_case		:    "List[PatchingSpec]" = None		)   ->						Dict:






				"""simple docstring"""



				super().__init__(__snake_case     ,__snake_case     ,__snake_case		)
				lowercase__  :       Union[str, Any]												=     True







		@property
		def    UpperCAmelCase       (      self		:    Optional[Any]		)   ->						Mapping[str, Mapping[int, str]]:






				"""simple docstring"""



				if self.task == "multiple-choice":
						lowercase__  :       List[str]												=     {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
				else:
						lowercase__  :       Any												=     {0: '''batch''', 1: '''sequence'''}
				return OrderedDict(
				    [
				        ('''input_ids''', dynamic_axis),
				        ('''attention_mask''', dynamic_axis),
				        ('''global_attention_mask''', dynamic_axis),
				    ]		)







		@property
		def    UpperCAmelCase       (      self		:    Optional[Any]		)   ->						Mapping[str, Mapping[int, str]]:






				"""simple docstring"""



				lowercase__  :       Optional[int]												=     super().outputs
				if self.task == "default":
						lowercase__  :       Tuple												=     {0: '''batch'''}
				return outputs







		@property
		def    UpperCAmelCase       (      self		:    Union[str, Any]		)   ->						float:






				"""simple docstring"""



				return 1e-4







		@property
		def    UpperCAmelCase       (      self		:    Tuple		)   ->						int:






				"""simple docstring"""



				return max(super().default_onnx_opset     ,14		)







		def    UpperCAmelCase       (      self		:    Union[str, Any]     ,_snake_case		:    "PreTrainedTokenizerBase"     ,_snake_case		:    int = -1     ,_snake_case		:    int = -1     ,_snake_case		:    bool = False     ,_snake_case		:    Optional[TensorType] = None     ,)   ->						Mapping[str, Any]:






				"""simple docstring"""



				lowercase__  :       str												=     super().generate_dummy_inputs(
				    preprocessor=__snake_case     ,batch_size=__snake_case     ,seq_length=__snake_case     ,is_pair=__snake_case     ,framework=__snake_case		)
				import torch

				# for some reason, replacing this code by inputs["global_attention_mask"] = torch.randint(2, inputs["input_ids"].shape, dtype=torch.int64)
				# makes the export fail randomly
				lowercase__  :       List[Any]												=     torch.zeros_like(inputs['''input_ids''']		)
				# make every second token global
				lowercase__  :       Optional[Any]												=     1

				return inputs







'''simple docstring'''




from __future__ import annotations





def 	__lowerCamelCase			(      __lowerCAmelCase       :							float      ,    __lowerCAmelCase       :							float      ,    __lowerCAmelCase       :							float		)		->  float:
   if days_between_payments <= 0:
      raise ValueError("""days_between_payments must be > 0"""		)
   if daily_interest_rate < 0:
      raise ValueError("""daily_interest_rate must be >= 0"""		)
   if principal <= 0:
      raise ValueError("""principal must be > 0"""		)
   return principal * daily_interest_rate * days_between_payments





def 	__lowerCamelCase			(      __lowerCAmelCase       :							float      ,    __lowerCAmelCase       :							float      ,    __lowerCAmelCase       :							float      ,    )		->  float:
   if number_of_compounding_periods <= 0:
      raise ValueError("""number_of_compounding_periods must be > 0"""		)
   if nominal_annual_interest_rate_percentage < 0:
      raise ValueError("""nominal_annual_interest_rate_percentage must be >= 0"""		)
   if principal <= 0:
      raise ValueError("""principal must be > 0"""		)

   return principal * (
       (1 + nominal_annual_interest_rate_percentage) ** number_of_compounding_periods
       - 1
   )





def 	__lowerCamelCase			(      __lowerCAmelCase       :							float      ,    __lowerCAmelCase       :							float      ,    __lowerCAmelCase       :							float      ,    )		->  float:
   if number_of_years <= 0:
      raise ValueError("""number_of_years must be > 0"""		)
   if nominal_annual_percentage_rate < 0:
      raise ValueError("""nominal_annual_percentage_rate must be >= 0"""		)
   if principal <= 0:
      raise ValueError("""principal must be > 0"""		)

   return compound_interest(
       __lowerCAmelCase      ,    nominal_annual_percentage_rate / 3_65      ,    number_of_years * 3_65		)


if __name__ == "__main__":
 import doctest

 doctest.testmod()

