






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


a    =       {
    'configuration_marian': ['MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MarianConfig', 'MarianOnnxConfig'],
}

try:
 if not is_sentencepiece_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a    =       ['MarianTokenizer']

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a    =       [
     'MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST',
     'MarianForCausalLM',
     'MarianModel',
     'MarianMTModel',
     'MarianPreTrainedModel',
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a    =       ['TFMarianModel', 'TFMarianMTModel', 'TFMarianPreTrainedModel']

try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a    =       ['FlaxMarianModel', 'FlaxMarianMTModel', 'FlaxMarianPreTrainedModel']

if TYPE_CHECKING:
 from .configuration_marian import MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP, MarianConfig, MarianOnnxConfig

 try:
  if not is_sentencepiece_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_marian import MarianTokenizer

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_marian import (
      MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST,
      MarianForCausalLM,
      MarianModel,
      MarianMTModel,
      MarianPreTrainedModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel

 try:
  if not is_flax_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_flax_marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel

else:
 import sys

 a    =       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)










import os
import sys
import time

from . import transposition_cipher as trans_cipher
def       a__						(  ):
   lowercase__						:	Union[str, Any]         = """Prehistoric Men.txt"""
   lowercase__						:	Optional[Any]         = """Output.txt"""
   lowercase__						:	List[str]         = int(input("""Enter key: """					)					)
   lowercase__						:	Tuple         = input("""Encrypt/Decrypt [e/d]: """					)

   if not os.path.exists(A					):
      print(F'''File {input_file} does not exist. Quitting...'''					)
      sys.exit()
   if os.path.exists(A					):
      print(F'''Overwrite {output_file}? [y/n]'''					)
      lowercase__						:	List[Any]         = input("""> """					)
      if not response.lower().startswith("""y"""					):
         sys.exit()

   lowercase__						:	str         = time.time()
   if mode.lower().startswith("""e"""					):
      with open(A					) as f:
         lowercase__						:	Optional[int]         = f.read()
      lowercase__						:	List[str]         = trans_cipher.encrypt_message(A		,				A					)
   elif mode.lower().startswith("""d"""					):
      with open(A					) as f:
         lowercase__						:	int         = f.read()
      lowercase__						:	int         = trans_cipher.decrypt_message(A		,				A					)

   with open(A		,				"""w"""					) as output_obj:
      output_obj.write(A					)

   lowercase__						:	Optional[Any]         = round(time.time() - start_time		,				2					)
   print(("""Done (""", total_time, """seconds )""")					)


if __name__ == "__main__":
 main()


