





# Algorithm for the pigeonhole sorting











def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	)       ->     Any:
    lowercase__			    =						min(_SCREAMING_SNAKE_CASE	)  # min() finds the minimum value
    lowercase__			    =						max(_SCREAMING_SNAKE_CASE	)  # max() finds the maximum value

    lowercase__			    =						max_val - min_val + 1  # size is difference of max and min values plus one

    # list of pigeonholes of size equal to the variable size
    lowercase__			    =						[0] * size

    # Populate the pigeonholes.
    for x in a:
        assert isinstance(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	), "integers only please"
        holes[x - min_val] += 1

    # Putting the elements back into the array in an order.
    lowercase__			    =						0
    for count in range(_SCREAMING_SNAKE_CASE	):
        while holes[count] > 0:
            holes[count] -= 1
            lowercase__			    =						count + min_val
            i += 1




def     __UpperCamelCase						()       ->     str:
    lowercase__			    =						[8, 3, 2, 7, 4, 6, 8]
    pigeonhole_sort(_SCREAMING_SNAKE_CASE	)
    print('Sorted order is:'	,		' '.join(_SCREAMING_SNAKE_CASE	)	)


if __name__ == "__main__":
      main()









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowercase_					     =	{
    """configuration_squeezebert""": [
        """SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """SqueezeBertConfig""",
        """SqueezeBertOnnxConfig""",
    ],
    """tokenization_squeezebert""": ["""SqueezeBertTokenizer"""],
}

try:
      if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase_					     =	["""SqueezeBertTokenizerFast"""]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase_					     =	[
          """SQUEEZEBERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """SqueezeBertForMaskedLM""",
          """SqueezeBertForMultipleChoice""",
          """SqueezeBertForQuestionAnswering""",
          """SqueezeBertForSequenceClassification""",
          """SqueezeBertForTokenClassification""",
          """SqueezeBertModel""",
          """SqueezeBertModule""",
          """SqueezeBertPreTrainedModel""",
      ]


if TYPE_CHECKING:
      from .configuration_squeezebert import (
          SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
          SqueezeBertConfig,
          SqueezeBertOnnxConfig,
      )
      from .tokenization_squeezebert import SqueezeBertTokenizer

      try:
            if not is_tokenizers_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_squeezebert_fast import SqueezeBertTokenizerFast

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_squeezebert import (
                SQUEEZEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
                SqueezeBertForMaskedLM,
                SqueezeBertForMultipleChoice,
                SqueezeBertForQuestionAnswering,
                SqueezeBertForSequenceClassification,
                SqueezeBertForTokenClassification,
                SqueezeBertModel,
                SqueezeBertModule,
                SqueezeBertPreTrainedModel,
            )

else:
      import sys

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


