




# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase__			:       Optional[Any]         =							{
    'configuration_mgp_str': ['MGP_STR_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MgpstrConfig'],
    'processing_mgp_str': ['MgpstrProcessor'],
    'tokenization_mgp_str': ['MgpstrTokenizer'],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCamelCase__			:       int         =							[
			    'MGP_STR_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'MgpstrModel',
			    'MgpstrPreTrainedModel',
			    'MgpstrForSceneTextRecognition',
			]

if TYPE_CHECKING:
			from .configuration_mgp_str import MGP_STR_PRETRAINED_CONFIG_ARCHIVE_MAP, MgpstrConfig
			from .processing_mgp_str import MgpstrProcessor
			from .tokenization_mgp_str import MgpstrTokenizer

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_mgp_str import (
						    MGP_STR_PRETRAINED_MODEL_ARCHIVE_LIST,
						    MgpstrForSceneTextRecognition,
						    MgpstrModel,
						    MgpstrPreTrainedModel,
						)
else:
			import sys

			lowerCamelCase__			:       Dict         =							_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





def  UpperCAmelCase_							(				__UpperCAmelCase						:     str							) ->			str:
      SCREAMING_SNAKE_CASE_     						=      ''
      for ch in key:
            if ch == " " or ch not in key_no_dups and ch.isalpha():
                  key_no_dups += ch
      return key_no_dups

def  UpperCAmelCase_							(				__UpperCAmelCase						:     str							) ->			dict[str, str]:
      SCREAMING_SNAKE_CASE_     						=      [chr(i + 65							) for i in range(26							)]
      # Remove duplicate characters from key
      SCREAMING_SNAKE_CASE_     						=      remove_duplicates(key.upper()							)
      SCREAMING_SNAKE_CASE_     						=      len(__UpperCAmelCase							)
      # First fill cipher with key characters
      SCREAMING_SNAKE_CASE_     						=      {alphabet[i]: char for i, char in enumerate(__UpperCAmelCase							)}
      # Then map remaining characters in alphabet to
      # the alphabet from the beginning
      for i in range(len(__UpperCAmelCase							)      ,      26							):
            SCREAMING_SNAKE_CASE_     						=      alphabet[i - offset]
            # Ensure we are not mapping letters to letters previously mapped
            while char in key:
                  offset -= 1
                  SCREAMING_SNAKE_CASE_     						=      alphabet[i - offset]
            SCREAMING_SNAKE_CASE_     						=      char
      return cipher_alphabet

def  UpperCAmelCase_							(				__UpperCAmelCase						:     str      ,      __UpperCAmelCase						:     dict[str, str]							) ->			str:
      return "".join(cipher_map.get(__UpperCAmelCase      ,      __UpperCAmelCase							) for ch in message.upper()							)

def  UpperCAmelCase_							(				__UpperCAmelCase						:     str      ,      __UpperCAmelCase						:     dict[str, str]							) ->			str:
      SCREAMING_SNAKE_CASE_     						=      {v: k for k, v in cipher_map.items()}
      return "".join(rev_cipher_map.get(__UpperCAmelCase      ,      __UpperCAmelCase							) for ch in message.upper()							)

def  UpperCAmelCase_							(				) ->			None:
      SCREAMING_SNAKE_CASE_     						=      input('Enter message to encode or decode: '							).strip()
      SCREAMING_SNAKE_CASE_     						=      input('Enter keyword: '							).strip()
      SCREAMING_SNAKE_CASE_     						=      input('Encipher or decipher? E/D:'							).strip()[0].lower()
      try:
            SCREAMING_SNAKE_CASE_     						=      {'e': encipher, 'd': decipher}[option]
      except KeyError:
            raise KeyError('invalid input option'							)
      SCREAMING_SNAKE_CASE_     						=      create_cipher_map(__UpperCAmelCase							)
      print(func(__UpperCAmelCase      ,      __UpperCAmelCase							)							)


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()