



"""simple docstring"""





# flake8: noqa
# Lint as: python3

from typing import Dict, List, Optional, Type

from .. import config
from ..utils import logging
from .formatting import (
    ArrowFormatter,
    CustomFormatter,
    Formatter,
    PandasFormatter,
    PythonFormatter,
    TensorFormatter,
    format_table,
    query_table,
)
from .np_formatter import NumpyFormatter


lowerCamelCase      =		logging.get_logger(__name__)

lowerCamelCase      =		{}
lowerCamelCase      =		{}
lowerCamelCase      =		{}
def      a__			(   lowerCAmelCase__			,    lowerCAmelCase__			,    lowerCAmelCase__ = None			,    ):
      UpperCAmelCase_    				=							aliases if aliases is not None else []
      if format_type in _FORMAT_TYPES:
            logger.warning(
                f"""Overwriting format type '{format_type}' ({_FORMAT_TYPES[format_type].__name__} -> {formatter_cls.__name__})"""   )
      UpperCAmelCase_    				=							formatter_cls
      for alias in set(aliases + [format_type]   ):
            if alias in _FORMAT_TYPES_ALIASES:
                  logger.warning(
                      f"""Overwriting format type alias '{alias}' ({_FORMAT_TYPES_ALIASES[alias]} -> {format_type})"""   )
            UpperCAmelCase_    				=							format_type
def      a__			(   lowerCAmelCase__			,    lowerCAmelCase__			,    lowerCAmelCase__ = None   ):
      UpperCAmelCase_    				=							aliases if aliases is not None else []
      for alias in set(aliases + [format_type]   ):
            UpperCAmelCase_    				=							unavailable_error


# Here we define all the available formatting functions that can be used by `Dataset.set_format`
_register_formatter(PythonFormatter, None, aliases=["""python"""])
_register_formatter(ArrowFormatter, """arrow""", aliases=["""pa""", """pyarrow"""])
_register_formatter(NumpyFormatter, """numpy""", aliases=["""np"""])
_register_formatter(PandasFormatter, """pandas""", aliases=["""pd"""])
_register_formatter(CustomFormatter, """custom""")

if config.TORCH_AVAILABLE:
  from .torch_formatter import TorchFormatter

  _register_formatter(TorchFormatter, """torch""", aliases=["""pt""", """pytorch"""])
else:
  lowerCamelCase      =		ValueError("""PyTorch needs to be installed to be able to return PyTorch tensors.""")
  _register_unavailable_formatter(_torch_error, """torch""", aliases=["""pt""", """pytorch"""])

if config.TF_AVAILABLE:
  from .tf_formatter import TFFormatter

  _register_formatter(TFFormatter, """tensorflow""", aliases=["""tf"""])
else:
  lowerCamelCase      =		ValueError("""Tensorflow needs to be installed to be able to return Tensorflow tensors.""")
  _register_unavailable_formatter(_tf_error, """tensorflow""", aliases=["""tf"""])

if config.JAX_AVAILABLE:
  from .jax_formatter import JaxFormatter

  _register_formatter(JaxFormatter, """jax""", aliases=[])
else:
  lowerCamelCase      =		ValueError("""JAX needs to be installed to be able to return JAX arrays.""")
  _register_unavailable_formatter(_jax_error, """jax""", aliases=[])
def      a__			(   lowerCAmelCase__   ):
      if format_type in _FORMAT_TYPES_ALIASES:
            return _FORMAT_TYPES_ALIASES[format_type]
      else:
            return format_type


def      a__			(   lowerCAmelCase__			,    **lowerCAmelCase__   ):
      UpperCAmelCase_    				=							get_format_type_from_alias(lowerCAmelCase__   )
      if format_type in _FORMAT_TYPES:
            return _FORMAT_TYPES[format_type](**lowerCAmelCase__   )
      if format_type in _FORMAT_TYPES_ALIASES_UNAVAILABLE:
            raise _FORMAT_TYPES_ALIASES_UNAVAILABLE[format_type]
      else:
            raise ValueError(
                f"""Return type should be None or selected in {list(type for type in _FORMAT_TYPES.keys() if type != None   )}, but got '{format_type}'"""   )









"""simple docstring"""





from __future__ import annotations
def      a__			(   lowerCAmelCase__   ):
      if len(lowerCAmelCase__   ) == 0:
            return []
      UpperCAmelCase_				,					UpperCAmelCase_    				=							min(lowerCAmelCase__   ), max(lowerCAmelCase__   )
      UpperCAmelCase_    				=							int(max_value - min_value   ) + 1
      UpperCAmelCase_    				=							[[] for _ in range(lowerCAmelCase__   )]

      for i in my_list:
            buckets[int(i - min_value   )].append(lowerCAmelCase__   )

      return [v for bucket in buckets for v in sorted(lowerCAmelCase__   )]


if __name__ == "__main__":
  from doctest import testmod

  testmod()
  assert bucket_sort([4, 5, 3, 2, 1]) == [1, 2, 3, 4, 5]
  assert bucket_sort([0, 1, -10, 15, 2, -2]) == [-10, -2, 0, 1, 2, 15]




