






"""simple docstring"""





from typing import List, Optional, TypeVar

from .arrow_dataset import Dataset, _concatenate_map_style_datasets, _interleave_map_style_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .info import DatasetInfo
from .iterable_dataset import IterableDataset, _concatenate_iterable_datasets, _interleave_iterable_datasets
from .splits import NamedSplit
from .utils import logging
from .utils.py_utils import Literal


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


A__					: List[str]=	TypeVar("""DatasetType""", Dataset, IterableDataset)







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE = None ,	SCREAMING_SNAKE_CASE = None ,	SCREAMING_SNAKE_CASE = None ,	SCREAMING_SNAKE_CASE = None ,	SCREAMING_SNAKE_CASE = "first_exhausted" ,	)					->	str:
    """simple docstring"""

    from .arrow_dataset import Dataset
    from .iterable_dataset import IterableDataset

    if not datasets:
        raise ValueError('Unable to interleave an empty list of datasets.'					)
    for i, dataset in enumerate(snake_case__					):
        if not isinstance(snake_case__ ,	(Dataset, IterableDataset)					):
            if isinstance(snake_case__ ,	(DatasetDict, IterableDatasetDict)					):
                if not dataset:
                    raise ValueError(
                        F'Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} '
                        'is an empty dataset dictionary.'					)
                raise ValueError(
                    F'Dataset at position {i} has at least one split: {list(snake_case__					)}\n'
                    F'Please pick one to interleave with the other datasets, for example: dataset[\'{next(iter(snake_case__					)					)}\']'					)
            raise ValueError(
                F'Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(snake_case__					).__name__}.'					)
        if i == 0:
            UpperCamelCase__         =    (
                (Dataset, IterableDataset) if isinstance(snake_case__ ,	snake_case__					) else (IterableDataset, Dataset)
            )
        elif not isinstance(snake_case__ ,	snake_case__					):
            raise ValueError(
                F'Unable to interleave a {dataset_type.__name__} (at position 0) with a {other_type.__name__} (at position {i}). Expected a list of Dataset objects or a list of IterableDataset objects.'					)
    if stopping_strategy not in ["first_exhausted", "all_exhausted"]:
        raise ValueError(F'{stopping_strategy} is not supported. Please enter a valid stopping_strategy.'					)
    if dataset_type is Dataset:
        return _interleave_map_style_datasets(
            snake_case__ ,	snake_case__ ,	snake_case__ ,	info=snake_case__ ,	split=snake_case__ ,	stopping_strategy=snake_case__					)
    else:
        return _interleave_iterable_datasets(
            snake_case__ ,	snake_case__ ,	snake_case__ ,	info=snake_case__ ,	split=snake_case__ ,	stopping_strategy=snake_case__					)







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE = None ,	SCREAMING_SNAKE_CASE = None ,	SCREAMING_SNAKE_CASE = 0 ,	)					->	Any:
    """simple docstring"""

    if not dsets:
        raise ValueError('Unable to concatenate an empty list of datasets.'					)
    for i, dataset in enumerate(snake_case__					):
        if not isinstance(snake_case__ ,	(Dataset, IterableDataset)					):
            if isinstance(snake_case__ ,	(DatasetDict, IterableDatasetDict)					):
                if not dataset:
                    raise ValueError(
                        F'Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} '
                        'is an empty dataset dictionary.'					)
                raise ValueError(
                    F'Dataset at position {i} has at least one split: {list(snake_case__					)}\n'
                    F'Please pick one to interleave with the other datasets, for example: dataset[\'{next(iter(snake_case__					)					)}\']'					)
            raise ValueError(
                F'Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(snake_case__					).__name__}.'					)
        if i == 0:
            UpperCamelCase__         =    (
                (Dataset, IterableDataset) if isinstance(snake_case__ ,	snake_case__					) else (IterableDataset, Dataset)
            )
        elif not isinstance(snake_case__ ,	snake_case__					):
            raise ValueError(
                F'Unable to interleave a {dataset_type.__name__} (at position 0) with a {other_type.__name__} (at position {i}). Expected a list of Dataset objects or a list of IterableDataset objects.'					)
    if dataset_type is Dataset:
        return _concatenate_map_style_datasets(snake_case__ ,	info=snake_case__ ,	split=snake_case__ ,	axis=snake_case__					)
    else:
        return _concatenate_iterable_datasets(snake_case__ ,	info=snake_case__ ,	split=snake_case__ ,	axis=snake_case__					)












"""simple docstring"""





from __future__ import annotations

from typing import Generic, TypeVar

A__					: Any=	TypeVar("""T""")
class    __lowerCamelCase    (  Generic[T]  ):

   def __init__(					self ,				snake_case_      )		->       None:
       UpperCamelCase__         =    data
       UpperCamelCase__         =    self
       UpperCamelCase__         =    0







class    __lowerCamelCase    (  Generic[T]  ):

   def __init__(					self      )		->       None:
       # map from node name to the node object
       UpperCamelCase__         =    {}

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_      )		->       None:
       # create a new set with x as its member
       UpperCamelCase__         =    DisjointSetTreeNode(snake_case_      )

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_      )		->       DisjointSetTreeNode[T]:
       # find the set x belongs to (with path-compression)
       UpperCamelCase__         =    self.map[data]
       if elem_ref != elem_ref.parent:
           UpperCamelCase__         =    self.find_set(elem_ref.parent.data      )
       return elem_ref.parent

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_ ,				snake_case_      )		->       None:
       # helper function for union operation
       if nodea.rank > nodea.rank:
           UpperCamelCase__         =    nodea
       else:
           UpperCamelCase__         =    nodea
           if nodea.rank == nodea.rank:
               nodea.rank += 1







   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_ ,				snake_case_      )		->       None:
       # merge 2 disjoint sets
       self.link(self.find_set(snake_case_      ) ,				self.find_set(snake_case_      )      )







class    __lowerCamelCase    (  Generic[T]  ):

   def __init__(					self      )		->       None:
       # connections: map from the node to the neighbouring nodes (with weights)
       UpperCamelCase__         =    {}

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_      )		->       None:
       # add a node ONLY if its not present in the graph
       if node not in self.connections:
           UpperCamelCase__         =    {}

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_ ,				snake_case_ ,				snake_case_      )		->       None:
       # add an edge with the given weight
       self.add_node(snake_case_      )
       self.add_node(snake_case_      )
       UpperCamelCase__         =    weight
       UpperCamelCase__         =    weight







   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       GraphUndirectedWeighted[T]:
       UpperCamelCase__         =    []
       UpperCamelCase__         =    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 snake_case_      : x[2]      )

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

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




