





from __future__ import annotations


def 					__SCREAMING_SNAKE_CASE  (							__lowercase:		list     ,							__lowercase:		list):



  '''simple docstring'''






  __lowerCAmelCase			=				[None] * (len(__lowercase) + len(__lowercase))

  __lowerCAmelCase			=				0  # pointer to current index for left Half
  __lowerCAmelCase			=				0  # pointer to current index for the right Half
  __lowerCAmelCase			=				0  # pointer to current index for the sorted array Half

  while pointera < len(__lowercase) and pointera < len(__lowercase):
    if left_half[pointera] < right_half[pointera]:
      __lowerCAmelCase			=				left_half[pointera]
      pointera += 1
      index += 1
    else:
      __lowerCAmelCase			=				right_half[pointera]
      pointera += 1
      index += 1
  while pointera < len(__lowercase):
    __lowerCAmelCase			=				left_half[pointera]
    pointera += 1
    index += 1

  while pointera < len(__lowercase):
    __lowerCAmelCase			=				right_half[pointera]
    pointera += 1
    index += 1

  return sorted_array


def 					__SCREAMING_SNAKE_CASE  (							__lowercase:		list):



  '''simple docstring'''






  if len(__lowercase) <= 1:
    return array
  # the actual formula to calculate the middle element = left + (right - left) // 2
  # this avoids integer overflow in case of large N
  __lowerCAmelCase			=				0 + (len(__lowercase) - 0) // 2

  # Split the array into halves till the array length becomes equal to One
  # merge the arrays of single length returned by mergeSort function and
  # pass them into the merge arrays function which merges the array
  __lowerCAmelCase			=				array[:middle]
  __lowerCAmelCase			=				array[middle:]

  return merge(merge_sort(__lowercase)     ,							merge_sort(__lowercase))


if __name__ == "__main__":
      import doctest

      doctest.testmod()







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_speech_available,
    is_torch_available,
)


__lowercase													=			{
    """configuration_speech_to_text_2""": ["""SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP""", """Speech2Text2Config"""],
    """processing_speech_to_text_2""": ["""Speech2Text2Processor"""],
    """tokenization_speech_to_text_2""": ["""Speech2Text2Tokenizer"""],
}


try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __lowercase													=			[
          """SPEECH_TO_TEXT_2_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """Speech2Text2ForCausalLM""",
          """Speech2Text2PreTrainedModel""",
      ]


if TYPE_CHECKING:
      from .configuration_speech_to_text_a import SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP, SpeechaTextaConfig
      from .processing_speech_to_text_a import SpeechaTextaProcessor
      from .tokenization_speech_to_text_a import SpeechaTextaTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_speech_to_text_a import (
                SPEECH_TO_TEXT_2_PRETRAINED_MODEL_ARCHIVE_LIST,
                SpeechaTextaForCausalLM,
                SpeechaTextaPreTrainedModel,
            )

else:
      import sys

      __lowercase													=			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
