




from __future__ import annotations
def 							__lowerCAmelCase			(UpperCAmelCase_ ,     UpperCAmelCase_		):
    a__			,		a__			,		a__  			=							"""""", """""", """"""
    a__  			=							[]

    for character in message_part:
        tmp.append(character_to_number[character]		)

    for each in tmp:
        one += each[0]
        two += each[1]
        three += each[2]

    return one + two + three
def 							__lowerCAmelCase			(UpperCAmelCase_ ,     UpperCAmelCase_		):
    a__			,		a__  			=							"""""", """"""
    a__  			=							[]

    for character in message_part:
        this_part += character_to_number[character]

    for digit in this_part:
        tmp += digit
        if len(UpperCAmelCase_		) == len(UpperCAmelCase_		):
            result.append(UpperCAmelCase_		)
            a__  			=							""""""

    return result[0], result[1], result[2]
def 							__lowerCAmelCase			(UpperCAmelCase_ ,     UpperCAmelCase_		):
    # Validate message and alphabet, set to upper and remove spaces
    a__  			=							alphabet.replace(""" """ ,     """"""		).upper()
    a__  			=							message.replace(""" """ ,     """"""		).upper()

    # Check length and characters
    if len(UpperCAmelCase_		) != 27:
        raise KeyError("""Length of alphabet has to be 27."""		)
    for each in message:
        if each not in alphabet:
            raise ValueError("""Each message character has to be included in alphabet!"""		)

    # Generate dictionares
    a__  			=							(
        """111""",
        """112""",
        """113""",
        """121""",
        """122""",
        """123""",
        """131""",
        """132""",
        """133""",
        """211""",
        """212""",
        """213""",
        """221""",
        """222""",
        """223""",
        """231""",
        """232""",
        """233""",
        """311""",
        """312""",
        """313""",
        """321""",
        """322""",
        """323""",
        """331""",
        """332""",
        """333""",
    )
    a__  			=							{}
    a__  			=							{}
    for letter, number in zip(UpperCAmelCase_ ,     UpperCAmelCase_		):
        a__  			=							number
        a__  			=							letter

    return message, alphabet, character_to_number, number_to_character
def 							__lowerCAmelCase			(UpperCAmelCase_ ,     UpperCAmelCase_ = "ABCDEFGHIJKLMNOPQRSTUVWXYZ." ,     UpperCAmelCase_ = 5		):
    a__			,		a__			,		a__			,		a__  			=							__prepare(
        UpperCAmelCase_ ,     UpperCAmelCase_		)
    a__			,		a__  			=							"""""", """"""

    for i in range(0 ,     len(UpperCAmelCase_		) + 1 ,     UpperCAmelCase_		):
        encrypted_numeric += __encrypt_part(
            message[i : i + period] ,     UpperCAmelCase_		)

    for i in range(0 ,     len(UpperCAmelCase_		) ,     3		):
        encrypted += number_to_character[encrypted_numeric[i : i + 3]]

    return encrypted
def 							__lowerCAmelCase			(UpperCAmelCase_ ,     UpperCAmelCase_ = "ABCDEFGHIJKLMNOPQRSTUVWXYZ." ,     UpperCAmelCase_ = 5		):
    a__			,		a__			,		a__			,		a__  			=							__prepare(
        UpperCAmelCase_ ,     UpperCAmelCase_		)
    a__  			=							[]
    a__  			=							""""""

    for i in range(0 ,     len(UpperCAmelCase_		) + 1 ,     UpperCAmelCase_		):
        a__			,		a__			,		a__  			=							__decrypt_part(message[i : i + period] ,     UpperCAmelCase_		)

        for j in range(0 ,     len(UpperCAmelCase_		)		):
            decrypted_numeric.append(a[j] + b[j] + c[j]		)

    for each in decrypted_numeric:
        decrypted += number_to_character[each]

    return decrypted


if __name__ == "__main__":
 SCREAMING_SNAKE_CASE_    :       List[str]       =							'''DEFEND THE EAST WALL OF THE CASTLE.'''
 SCREAMING_SNAKE_CASE_    :       Tuple       =							encrypt_message(msg, '''EPSDUCVWYM.ZLKXNBTFGORIJHAQ''')
 SCREAMING_SNAKE_CASE_    :       List[str]       =							decrypt_message(encrypted, '''EPSDUCVWYM.ZLKXNBTFGORIJHAQ''')
 print(F"Encrypted: {encrypted}\nDecrypted: {decrypted}")












# Copyright 2023 The HuggingFace Inc. 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,
)


SCREAMING_SNAKE_CASE_    :       int       =							{
    '''agents''': ['''Agent''', '''AzureOpenAiAgent''', '''HfAgent''', '''LocalAgent''', '''OpenAiAgent'''],
    '''base''': ['''PipelineTool''', '''RemoteTool''', '''Tool''', '''launch_gradio_demo''', '''load_tool'''],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE_    :       int       =							['''DocumentQuestionAnsweringTool''']
 SCREAMING_SNAKE_CASE_    :       List[Any]       =							['''ImageCaptioningTool''']
 SCREAMING_SNAKE_CASE_    :       Union[str, Any]       =							['''ImageQuestionAnsweringTool''']
 SCREAMING_SNAKE_CASE_    :       str       =							['''ImageSegmentationTool''']
 SCREAMING_SNAKE_CASE_    :       Any       =							['''SpeechToTextTool''']
 SCREAMING_SNAKE_CASE_    :       Union[str, Any]       =							['''TextClassificationTool''']
 SCREAMING_SNAKE_CASE_    :       List[Any]       =							['''TextQuestionAnsweringTool''']
 SCREAMING_SNAKE_CASE_    :       Dict       =							['''TextSummarizationTool''']
 SCREAMING_SNAKE_CASE_    :       Optional[int]       =							['''TextToSpeechTool''']
 SCREAMING_SNAKE_CASE_    :       Dict       =							['''TranslationTool''']

if TYPE_CHECKING:
 from .agents import Agent, AzureOpenAiAgent, HfAgent, LocalAgent, OpenAiAgent
 from .base import PipelineTool, RemoteTool, Tool, launch_gradio_demo, load_tool

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .document_question_answering import DocumentQuestionAnsweringTool
  from .image_captioning import ImageCaptioningTool
  from .image_question_answering import ImageQuestionAnsweringTool
  from .image_segmentation import ImageSegmentationTool
  from .speech_to_text import SpeechToTextTool
  from .text_classification import TextClassificationTool
  from .text_question_answering import TextQuestionAnsweringTool
  from .text_summarization import TextSummarizationTool
  from .text_to_speech import TextToSpeechTool
  from .translation import TranslationTool
else:
 import sys

 SCREAMING_SNAKE_CASE_    :       Optional[Any]       =							_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






