

'''simple docstring'''




import numpy as np

_lowerCAmelCase    			=						[
    ['''a''', '''b''', '''c''', '''d''', '''e'''],
    ['''f''', '''g''', '''h''', '''i''', '''k'''],
    ['''l''', '''m''', '''n''', '''o''', '''p'''],
    ['''q''', '''r''', '''s''', '''t''', '''u'''],
    ['''v''', '''w''', '''x''', '''y''', '''z'''],
]






class   _SCREAMING_SNAKE_CASE    :



 def __init__(    self		:    List[Any]			):
      __magic_name__						   =				np.array(UpperCAmelCase_			)



 def  snake_case__  (    self		:    str ,      a__		:    List[str]			):
      __magic_name__   ,  __magic_name__						   =				np.where(letter == self.SQUARE			)
      __magic_name__						   =				np.concatenate([indexa + 1, indexa + 1]			)
      return indexes



 def  snake_case__  (    self		:    Optional[int] ,      a__		:    List[Any] ,      a__		:    str			):
      return self.SQUARE[indexa - 1, indexa - 1]



 def  snake_case__  (    self		:    List[str] ,      a__		:    Optional[Any]			):
      __magic_name__						   =				message.lower()
      __magic_name__						   =				message.replace('''j''' ,      '''i'''			)

      __magic_name__						   =				''''''
      for letter_index in range(len(UpperCAmelCase_			)			):
           if message[letter_index] != " ":
                __magic_name__						   =				self.letter_to_numbers(message[letter_index]			)
                __magic_name__						   =				encoded_message + str(numbers[0]			) + str(numbers[1]			)
           elif message[letter_index] == " ":
                __magic_name__						   =				encoded_message + ''' '''

      return encoded_message



 def  snake_case__  (    self		:    Any ,      a__		:    List[str]			):
      __magic_name__						   =				message.replace(''' ''' ,      '''  '''			)
      __magic_name__						   =				''''''
      for numbers_index in range(int(len(UpperCAmelCase_			) / 2			)			):
           if message[numbers_index * 2] != " ":
                __magic_name__						   =				message[numbers_index * 2]
                __magic_name__						   =				message[numbers_index * 2 + 1]

                __magic_name__						   =				self.numbers_to_letter(int(UpperCAmelCase_			) ,      int(UpperCAmelCase_			)			)
                __magic_name__						   =				decoded_message + letter
           elif message[numbers_index * 2] == " ":
                __magic_name__						   =				decoded_message + ''' '''

      return decoded_message













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,
)


UpperCAmelCase__  :	Optional[Any]     ={'''configuration_pegasus''': ['''PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''PegasusConfig''']}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__  :	Union[str, Any]     =['''PegasusTokenizer''']

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__  :	int     =['''PegasusTokenizerFast''']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__  :	str     =[
							    '''PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''PegasusForCausalLM''',
							    '''PegasusForConditionalGeneration''',
							    '''PegasusModel''',
							    '''PegasusPreTrainedModel''',
							]

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__  :	Union[str, Any]     =[
							    '''TFPegasusForConditionalGeneration''',
							    '''TFPegasusModel''',
							    '''TFPegasusPreTrainedModel''',
							]

try:
							if not is_flax_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__  :	Dict     =[
							    '''FlaxPegasusForConditionalGeneration''',
							    '''FlaxPegasusModel''',
							    '''FlaxPegasusPreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_pegasus import PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusConfig

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_pegasus import PegasusTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_pegasus_fast import PegasusTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_pegasus import (
														    PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
														    PegasusForCausalLM,
														    PegasusForConditionalGeneration,
														    PegasusModel,
														    PegasusPreTrainedModel,
														)

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_pegasus import TFPegasusForConditionalGeneration, TFPegasusModel, TFPegasusPreTrainedModel

							try:
														if not is_flax_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_flax_pegasus import (
														    FlaxPegasusForConditionalGeneration,
														    FlaxPegasusModel,
														    FlaxPegasusPreTrainedModel,
														)

else:
							import sys

							UpperCAmelCase__  :	Union[str, Any]     =_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





