



'''simple docstring'''



from __future__ import annotations

from typing import Generic, TypeVar

lowerCAmelCase	:		List[str]				=   TypeVar('''T''')






class 					UpperCAmelCase__	(		Generic[T] ):



     def __init__(    self			,				UpperCamelCase     )     ->			List[Any]:
      __lowerCAmelCase												=  data
      __lowerCAmelCase												=  self
      __lowerCAmelCase												=  0






class 					UpperCAmelCase__	(		Generic[T] ):



     def __init__(    self     )     ->			int:
      # map from node name to the node object
      __lowerCAmelCase												=  {}



     def        UpperCAmelCase_ (    self			,				UpperCamelCase     )     ->			str:
      # create a new set with x as its member
      __lowerCAmelCase												=  DisjointSetTreeNode(UpperCAmelCase_     )



     def        UpperCAmelCase_ (    self			,				UpperCamelCase     )     ->			List[str]:
      # find the set x belongs to (with path-compression)
      __lowerCAmelCase												=  self.map[data]
      if elem_ref != elem_ref.parent:
       __lowerCAmelCase												=  self.find_set(elem_ref.parent.data     )
      return elem_ref.parent



     def        UpperCAmelCase_ (    self			,				UpperCamelCase			,				UpperCamelCase     )     ->			Union[str, Any]:
      # helper function for union operation
      if nodea.rank > nodea.rank:
       __lowerCAmelCase												=  nodea
      else:
       __lowerCAmelCase												=  nodea
       if nodea.rank == nodea.rank:
        nodea.rank += 1



     def        UpperCAmelCase_ (    self			,				UpperCamelCase			,				UpperCamelCase     )     ->			List[str]:
      # merge 2 disjoint sets
      self.link(self.find_set(UpperCAmelCase_     )			,				self.find_set(UpperCAmelCase_     )     )






class 					UpperCAmelCase__	(		Generic[T] ):



     def __init__(    self     )     ->			Union[str, Any]:
      # connections: map from the node to the neighbouring nodes (with weights)
      __lowerCAmelCase												=  {}



     def        UpperCAmelCase_ (    self			,				UpperCamelCase     )     ->			Optional[Any]:
      # add a node ONLY if its not present in the graph
      if node not in self.connections:
       __lowerCAmelCase												=  {}



     def        UpperCAmelCase_ (    self			,				UpperCamelCase			,				UpperCamelCase			,				UpperCamelCase     )     ->			int:
      # add an edge with the given weight
      self.add_node(UpperCAmelCase_     )
      self.add_node(UpperCAmelCase_     )
      __lowerCAmelCase												=  weight
      __lowerCAmelCase												=  weight



     def        UpperCAmelCase_ (    self     )     ->			Any:
      __lowerCAmelCase												=  []
      __lowerCAmelCase												=  set()
      for start in self.connections:
       for end in self.connections[start]:
        if (start, end) not in seen:
         seen.add((end, start)     )
         edges.append((start, end, self.connections[start][end])     )
      edges.sort(key=lambda UpperCamelCase     : x[2]     )

      # creating the disjoint set
      __lowerCAmelCase												=  DisjointSetTree[T]()
      for node in self.connections:
       disjoint_set.make_set(UpperCAmelCase_     )

      # MST generation
      __lowerCAmelCase												=  0
      __lowerCAmelCase												=  0
      __lowerCAmelCase												=  GraphUndirectedWeighted[T]()
      while num_edges < len(self.connections     ) - 1:
       __lowerCAmelCase							,       __lowerCAmelCase							,       __lowerCAmelCase												=  edges[index]
       index += 1
       __lowerCAmelCase												=  disjoint_set.find_set(UpperCAmelCase_     )
       __lowerCAmelCase												=  disjoint_set.find_set(UpperCAmelCase_     )
       if parent_u != parent_v:
        num_edges += 1
        graph.add_edge(UpperCAmelCase_			,				UpperCAmelCase_			,				UpperCAmelCase_     )
        disjoint_set.union(UpperCAmelCase_			,				UpperCAmelCase_     )
      return graph




'''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	:		List[str]				=   logging.get_logger(__name__)

lowerCAmelCase	:		Dict[Optional[str], Type[Formatter]]				=   {}
lowerCAmelCase	:		Dict[Optional[str], str]				=   {}
lowerCAmelCase	:		Dict[Optional[str], Exception]				=   {}



def   __lowerCAmelCase					(							lowerCamelCase   :						type				,		lowerCamelCase   :						Optional[str]				,		lowerCamelCase   :						Optional[List[str]] = None				,		):






	'''simple docstring'''




	__lowerCAmelCase												=  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__})'''					)
	__lowerCAmelCase												=  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})'''					)
		__lowerCAmelCase												=  format_type



def   __lowerCAmelCase					(							lowerCamelCase   :						Exception				,		lowerCamelCase   :						Optional[str]				,		lowerCamelCase   :						Optional[List[str]] = None					):






	'''simple docstring'''




	__lowerCAmelCase												=  aliases if aliases is not None else []
	for alias in set(aliases + [format_type]					):
		__lowerCAmelCase												=  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	:		Optional[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:
	lowerCAmelCase	:		str				=   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	:		Any				=   ValueError('''JAX needs to be installed to be able to return JAX arrays.''')
	_register_unavailable_formatter(_jax_error, '''jax''', aliases=[])



def   __lowerCAmelCase					(							lowerCamelCase   :						Optional[str]					):






	'''simple docstring'''




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




def   __lowerCAmelCase					(							lowerCamelCase   :						Optional[str]				,		**lowerCamelCase   :						Tuple					):






	'''simple docstring'''




	__lowerCAmelCase												=  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}\''''					)