

# 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


A									=  logging.get_logger(__name__)

A									=  {}
A									=  {}
A									=  {}





def a(lowercase__      ,			lowercase__      ,			lowercase__ = None      ,			):





	'''simple docstring'''
	snake_case_   		=			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__})"""						)
	snake_case_   		=			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})"""						)
		snake_case_   		=			format_type





def a(lowercase__      ,			lowercase__      ,			lowercase__ = None						):





	'''simple docstring'''
	snake_case_   		=			aliases if aliases is not None else []
	for alias in set(aliases + [format_type]						):
		snake_case_   		=			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:
		A									=  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:
		A									=  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:
		A									=  ValueError('JAX needs to be installed to be able to return JAX arrays.')
		_register_unavailable_formatter(_jax_error, 'jax', aliases=[])





def a(lowercase__						):





	'''simple docstring'''
	if format_type in _FORMAT_TYPES_ALIASES:
		return _FORMAT_TYPES_ALIASES[format_type]
	else:
		return format_type






def a(lowercase__      ,			**lowercase__						):





	'''simple docstring'''
	snake_case_   		=			get_format_type_from_alias(lowercase__						)
	if format_type in _FORMAT_TYPES:
		return _FORMAT_TYPES[format_type](**lowercase__						)
	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}'"""						)



class SCREAMING_SNAKE_CASE	:






			"""simple docstring"""




			def __init__(     self			,					__UpperCamelCase				):

				"""simple docstring"""


				snake_case_   		=			val
				snake_case_   		=			None
				snake_case_   		=			None







			def       __lowerCAmelCase			(     self			,					__UpperCamelCase				):

				"""simple docstring"""


				if self.val:
					if val < self.val:
						if self.left is None:
							snake_case_   		=			Node(__UpperCamelCase				)
						else:
							self.left.insert(__UpperCamelCase				)
					elif val > self.val:
						if self.right is None:
							snake_case_   		=			Node(__UpperCamelCase				)
						else:
							self.right.insert(__UpperCamelCase				)
				else:
					snake_case_   		=			val







def a(lowercase__      ,			lowercase__						):





	'''simple docstring'''
	# Recursive traversal
	if root:
		inorder(root.left      ,			lowercase__						)
		res.append(root.val						)
		inorder(root.right      ,			lowercase__						)





def a(lowercase__						):





	'''simple docstring'''
	# Build BST
	if len(lowercase__						) == 0:
		return arr
	snake_case_   		=			Node(arr[0]						)
	for i in range(1      ,			len(lowercase__						)						):
		root.insert(arr[i]						)
	# Traverse BST in order.
	snake_case_   		=			[]
	inorder(lowercase__      ,			lowercase__						)
	return res


if __name__ == "__main__":
		print(tree_sort([10, 1, 3, 2, 9, 14, 13]))
