





# 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


UpperCAmelCase	:	List[Any]		     =       logging.get_logger(__name__)

UpperCAmelCase	:	Dict[Optional[str], Type[Formatter]]		     =       {}
UpperCAmelCase	:	Dict[Optional[str], str]		     =       {}
UpperCAmelCase	:	Dict[Optional[str], Exception]		     =       {}
def      _A       (		SCREAMING_SNAKE_CASE     :   type       ,       SCREAMING_SNAKE_CASE     :   Optional[str]       ,       SCREAMING_SNAKE_CASE     :   Optional[List[str]] = None       ,       ):





  """simple docstring"""



  a__	:					Optional[int]										=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__})'''						)
  a__	:					Tuple										=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})'''						)
    a__	:					int										=format_type
def      _A       (		SCREAMING_SNAKE_CASE     :   Exception       ,       SCREAMING_SNAKE_CASE     :   Optional[str]       ,       SCREAMING_SNAKE_CASE     :   Optional[List[str]] = None						):





  """simple docstring"""



  a__	:					Tuple										=aliases if aliases is not None else []
  for alias in set(aliases + [format_type]						):
    a__	:					str										=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:
     UpperCAmelCase	:	int		     =       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:
     UpperCAmelCase	:	Dict		     =       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:
     UpperCAmelCase	:	List[Any]		     =       ValueError("""JAX needs to be installed to be able to return JAX arrays.""")
     _register_unavailable_formatter(_jax_error, """jax""", aliases=[])
def      _A       (		SCREAMING_SNAKE_CASE     :   Optional[str]						):





  """simple docstring"""



  if format_type in _FORMAT_TYPES_ALIASES:
    return _FORMAT_TYPES_ALIASES[format_type]
  else:
    return format_type





def      _A       (		SCREAMING_SNAKE_CASE     :   Optional[str]       ,       **SCREAMING_SNAKE_CASE     :   Tuple						):





  """simple docstring"""



  a__	:					Optional[Any]										=get_format_type_from_alias(SCREAMING_SNAKE_CASE						)
  if format_type in _FORMAT_TYPES:
    return _FORMAT_TYPES[format_type](**SCREAMING_SNAKE_CASE						)
  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}\''''						)









from __future__ import annotations

import numpy as np





def 					__lowerCamelCase	( UpperCamelCase__      ):







							'''simple docstring'''






							snake_case_				,    snake_case_							=    np.shape(UpperCamelCase__      )
							if rows != columns:
														snake_case_							=    (
														    '\'table\' has to be of square shaped array but got a '
														    F'''{rows}x{columns} array:\n{table}'''
														)
														raise ValueError(UpperCamelCase__      )

							snake_case_							=    np.zeros((rows, columns)      )
							snake_case_							=    np.zeros((rows, columns)      )
							for i in range(UpperCamelCase__      ):
														for j in range(UpperCamelCase__      ):
																					snake_case_							=    sum(lower[i][k] * upper[k][j] for k in range(UpperCamelCase__      )      )
																					if upper[j][j] == 0:
																												raise ArithmeticError('No LU decomposition exists'      )
																					snake_case_							=    (table[i][j] - total) / upper[j][j]
														snake_case_							=    1
														for j in range(UpperCamelCase__   ,							UpperCamelCase__      ):
																					snake_case_							=    sum(lower[i][k] * upper[k][j] for k in range(UpperCamelCase__      )      )
																					snake_case_							=    table[i][j] - total
							return lower, upper


if __name__ == "__main__":
					import doctest

					doctest.testmod()




