






"""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


UpperCAmelCase_   : Tuple   			= logging.get_logger(__name__)

UpperCAmelCase_   : str   			= {
    """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 							lowerCAmelCase__				(			UpperCAmelCase__ ):






      '''simple docstring'''

      __UpperCamelCase	 =  "longformer"
      def __init__(						self     :  Optional[int]						,	lowercase_     :  Union[List[int], int] = 512						,	lowercase_     :  int = 2						,	lowercase_     :  int = 1						,	lowercase_     :  int = 0						,	lowercase_     :  int = 2						,	lowercase_     :  int = 30522						,	lowercase_     :  int = 768						,	lowercase_     :  int = 12						,	lowercase_     :  int = 12						,	lowercase_     :  int = 3072						,	lowercase_     :  str = "gelu"						,	lowercase_     :  float = 0.1						,	lowercase_     :  float = 0.1						,	lowercase_     :  int = 512						,	lowercase_     :  int = 2						,	lowercase_     :  float = 0.02						,	lowercase_     :  float = 1e-12						,	lowercase_     :  bool = False						,	**lowercase_     :  Tuple						,	):




          '''simple docstring'''


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

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




class 							lowerCAmelCase__				(			UpperCAmelCase__ ):






      '''simple docstring'''

      def __init__(						self     :  int						,	lowercase_     :  "PretrainedConfig"						,	lowercase_     :  str = "default"						,	lowercase_     :  "List[PatchingSpec]" = None):




          '''simple docstring'''


          super().__init__(lowercase_						,	lowercase_						,	lowercase_)
          SCREAMING_SNAKE_CASE_      :  Tuple    						=		True
      @property
      def _SCREAMING_SNAKE_CASE (						self     :  Any):




          '''simple docstring'''


          if self.task == "multiple-choice":
              SCREAMING_SNAKE_CASE_      :  str    						=		{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
          else:
              SCREAMING_SNAKE_CASE_      :  Any    						=		{0: '''batch''', 1: '''sequence'''}
          return OrderedDict(
              [
                  ('''input_ids''', dynamic_axis),
                  ('''attention_mask''', dynamic_axis),
                  ('''global_attention_mask''', dynamic_axis),
              ])
      @property
      def _SCREAMING_SNAKE_CASE (						self     :  Optional[int]):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  List[str]    						=		super().outputs
          if self.task == "default":
              SCREAMING_SNAKE_CASE_      :  List[str]    						=		{0: '''batch'''}
          return outputs
      @property
      def _SCREAMING_SNAKE_CASE (						self     :  int):




          '''simple docstring'''


          return 1e-4
      @property
      def _SCREAMING_SNAKE_CASE (						self     :  Optional[Any]):




          '''simple docstring'''


          return max(super().default_onnx_opset						,	14)



      def _SCREAMING_SNAKE_CASE (						self     :  Optional[Any]						,	lowercase_     :  "PreTrainedTokenizerBase"						,	lowercase_     :  int = -1						,	lowercase_     :  int = -1						,	lowercase_     :  bool = False						,	lowercase_     :  Optional[TensorType] = None						,	):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  Any    						=		super().generate_dummy_inputs(
              preprocessor=lowercase_						,	batch_size=lowercase_						,	seq_length=lowercase_						,	is_pair=lowercase_						,	framework=lowercase_)
          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
          SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		torch.zeros_like(inputs['''input_ids'''])
          # make every second token global
          SCREAMING_SNAKE_CASE_      :  List[str]    						=		1

          return inputs










"""simple docstring"""






from __future__ import annotations




class 							lowerCAmelCase__				:






      '''simple docstring'''

      def __init__(						self     :  Any						,	lowercase_     :  int = 0):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  List[Any]    						=		key
      def _SCREAMING_SNAKE_CASE (						self     :  Any						,	lowercase_     :  str						,	lowercase_     :  int):




          '''simple docstring'''


          assert isinstance(lowercase_						,	lowercase_) and isinstance(lowercase_						,	lowercase_)

          SCREAMING_SNAKE_CASE_      :  Dict    						=		key or self.__key or 1

          # make sure key is an appropriate size
          key %= 255

          return [chr(ord(lowercase_) ^ key) for ch in content]
      def _SCREAMING_SNAKE_CASE (						self     :  str						,	lowercase_     :  str						,	lowercase_     :  int):




          '''simple docstring'''


          assert isinstance(lowercase_						,	lowercase_) and isinstance(lowercase_						,	lowercase_)

          SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		key or self.__key or 1

          # make sure key is an appropriate size
          key %= 255

          return [chr(ord(lowercase_) ^ key) for ch in content]
      def _SCREAMING_SNAKE_CASE (						self     :  Tuple						,	lowercase_     :  str						,	lowercase_     :  int = 0):




          '''simple docstring'''


          assert isinstance(lowercase_						,	lowercase_) and isinstance(lowercase_						,	lowercase_)

          SCREAMING_SNAKE_CASE_      :  int    						=		key or self.__key or 1

          # make sure key can be any size
          while key > 255:
              key -= 255

          # This will be returned
          SCREAMING_SNAKE_CASE_      :  List[str]    						=		''''''

          for ch in content:
              ans += chr(ord(lowercase_) ^ key)

          return ans
      def _SCREAMING_SNAKE_CASE (						self     :  int						,	lowercase_     :  str						,	lowercase_     :  int = 0):




          '''simple docstring'''


          assert isinstance(lowercase_						,	lowercase_) and isinstance(lowercase_						,	lowercase_)

          SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		key or self.__key or 1

          # make sure key can be any size
          while key > 255:
              key -= 255

          # This will be returned
          SCREAMING_SNAKE_CASE_      :  List[Any]    						=		''''''

          for ch in content:
              ans += chr(ord(lowercase_) ^ key)

          return ans
      def _SCREAMING_SNAKE_CASE (						self     :  str						,	lowercase_     :  str						,	lowercase_     :  int = 0):




          '''simple docstring'''


          assert isinstance(lowercase_						,	lowercase_) and isinstance(lowercase_						,	lowercase_)

          try:
              with open(lowercase_) as fin, open('''encrypt.out'''						,	'''w+''') as fout:
                  # actual encrypt-process
                  for line in fin:
                      fout.write(self.encrypt_string(lowercase_						,	lowercase_))

          except OSError:
              return False

          return True



      def _SCREAMING_SNAKE_CASE (						self     :  Optional[int]						,	lowercase_     :  str						,	lowercase_     :  int):




          '''simple docstring'''


          assert isinstance(lowercase_						,	lowercase_) and isinstance(lowercase_						,	lowercase_)

          try:
              with open(lowercase_) as fin, open('''decrypt.out'''						,	'''w+''') as fout:
                  # actual encrypt-process
                  for line in fin:
                      fout.write(self.decrypt_string(lowercase_						,	lowercase_))

          except OSError:
              return False

          return True


# Tests
# crypt = XORCipher()
# key = 67

# # test encrypt
# print(crypt.encrypt("hallo welt",key))
# # test decrypt
# print(crypt.decrypt(crypt.encrypt("hallo welt",key), key))

# # test encrypt_string
# print(crypt.encrypt_string("hallo welt",key))

# # test decrypt_string
# print(crypt.decrypt_string(crypt.encrypt_string("hallo welt",key),key))

# if (crypt.encrypt_file("test.txt",key)):
#       print("encrypt successful")
# else:
#       print("encrypt unsuccessful")

# if (crypt.decrypt_file("encrypt.out",key)):
#       print("decrypt successful")
# else:
#       print("decrypt unsuccessful")


