"""simple docstring"""


from __future__ import annotations

from collections.abc import Callable
from typing import Generic, TypeVar

__UpperCamelCase									=			TypeVar('''T''')
__UpperCamelCase									=			TypeVar('''U''')




class  UpperCamelCase					(				Generic[T, U]   ):







       def __init__( self,							lowerCAmelCase__,							lowerCAmelCase__)      ->      Optional[int]:
            snake_case_					       =					key
            snake_case_					       =					val
            snake_case_					       =					None
            snake_case_					       =					None







       def __repr__( self)      ->      Tuple:
            return (
                f'Node: key: {self.key}, val: {self.val}, '
                f'has next: {bool(self.next)}, has prev: {bool(self.prev)}'
            )




class  UpperCamelCase					(				Generic[T, U]   ):







       def __init__( self)      ->      Any:
            snake_case_					       =					DoubleLinkedListNode(lowerCAmelCase__,							lowerCAmelCase__)
            snake_case_					       =					DoubleLinkedListNode(lowerCAmelCase__,							lowerCAmelCase__)
            snake_case_       ,	snake_case_					       =					self.rear, self.head







       def __repr__( self)      ->      List[Any]:
            snake_case_					       =					['DoubleLinkedList']
            snake_case_					       =					self.head
            while node.next is not None:
                 rep.append(str(lowerCAmelCase__))
                 snake_case_					       =					node.next
            rep.append(str(self.rear))
            return ",\n    ".join(lowerCAmelCase__)







       def 		a_						( self,							lowerCAmelCase__)      ->      Tuple:
            snake_case_					       =					self.rear.prev

            # All nodes other than self.head are guaranteed to have non-None previous
            assert previous is not None

            snake_case_					       =					node
            snake_case_					       =					previous
            snake_case_					       =					node
            snake_case_					       =					self.rear







       def 		a_						( self,							lowerCAmelCase__)      ->      Tuple:

            if node.prev is None or node.next is None:
                 return None

            snake_case_					       =					node.next
            snake_case_					       =					node.prev
            snake_case_					       =					None
            snake_case_					       =					None
            return node




class  UpperCamelCase					(				Generic[T, U]   ):
       SCREAMING_SNAKE_CASE_			=      {}







       def __init__( self,							lowerCAmelCase__)      ->      Optional[int]:
            snake_case_					       =					DoubleLinkedList()
            snake_case_					       =					capacity
            snake_case_					       =					0
            snake_case_					       =					0
            snake_case_					       =					0
            snake_case_					       =					{}







       def __repr__( self)      ->      int:
            return (
                f'CacheInfo(hits={self.hits}, misses={self.miss}, '
                f'capacity={self.capacity}, current size={self.num_keys})'
            )







       def __contains__( self,							lowerCAmelCase__)      ->      Dict:
            return key in self.cache







       def 		a_						( self,							lowerCAmelCase__)      ->      Tuple:

            if key in self.cache:
                 self.hits += 1
                 snake_case_					       =					self.cache[key]
                 snake_case_					       =					self.list.remove(self.cache[key])
                 assert node == value_node

                 # node is guaranteed not None because it is in self.cache
                 assert node is not None
                 self.list.add(lowerCAmelCase__)
                 return node.val
            self.miss += 1
            return None







       def 		a_						( self,							lowerCAmelCase__,							lowerCAmelCase__)      ->      Optional[int]:

            if key not in self.cache:
                 if self.num_keys >= self.capacity:
                      # delete first node (oldest) when over capacity
                      snake_case_					       =					self.list.head.next

                      # guaranteed to have a non-None first node when num_keys > 0
                      # explain to type checker via assertions
                      assert first_node is not None
                      assert first_node.key is not None
                      assert (
                          self.list.remove(lowerCAmelCase__) is not None
                      )  # node guaranteed to be in list assert node.key is not None

                      del self.cache[first_node.key]
                      self.num_keys -= 1
                 snake_case_					       =					DoubleLinkedListNode(lowerCAmelCase__,							lowerCAmelCase__)
                 self.list.add(self.cache[key])
                 self.num_keys += 1

            else:
                 # bump node to the end of the list, update value
                 snake_case_					       =					self.list.remove(self.cache[key])
                 assert node is not None  # node guaranteed to be in list
                 snake_case_					       =					value
                 self.list.add(lowerCAmelCase__)







       @classmethod
       def 		a_						( cls,							lowerCAmelCase__ = 128)      ->      List[Any]:

            def cache_decorator_inner(lowerCAmelCase__) -> Callable[..., U]:
                 def cache_decorator_wrapper(*lowerCAmelCase__) -> U:
                      if func not in cls.decorator_function_to_instance_map:
                           snake_case_					       =					LRUCache(lowerCAmelCase__)

                      snake_case_					       =					cls.decorator_function_to_instance_map[func].get(args[0])
                      if result is None:
                           snake_case_					       =					func(*lowerCAmelCase__)
                           cls.decorator_function_to_instance_map[func].put(args[0],							lowerCAmelCase__)
                      return result

                 def cache_info() -> LRUCache[T, U]:
                      return cls.decorator_function_to_instance_map[func]

                 setattr(lowerCAmelCase__,							'cache_info',							lowerCAmelCase__)  # noqa: B010

                 return cache_decorator_wrapper

            return cache_decorator_inner


if __name__ == "__main__":
    import doctest

    doctest.testmod()







'''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     =logging.get_logger(__name__)


A     =TypeVar('DatasetType', Dataset, IterableDataset)





def 						snake_case_							(_a	:							List[DatasetType]    ,   _a	:							Optional[List[float]] = None    ,   _a	:							Optional[int] = None    ,   _a	:							Optional[DatasetInfo] = None    ,   _a	:							Optional[NamedSplit] = None    ,   _a	:							Literal["first_exhausted", "all_exhausted"] = "first_exhausted"    ,   ):
    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(_a     ):
        if not isinstance(_a    ,   (Dataset, IterableDataset)     ):
            if isinstance(_a    ,   (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(_a     )}\n"
                    F"Please pick one to interleave with the other datasets, for example: dataset['{next(iter(_a     )     )}']"     )
            raise ValueError(
                F"Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(_a     ).__name__}."     )
        if i == 0:
            UpperCAmelCase       ,     UpperCAmelCase			       =		(
                (Dataset, IterableDataset) if isinstance(_a    ,   _a     ) else (IterableDataset, Dataset)
            )
        elif not isinstance(_a    ,   _a     ):
            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(
            _a    ,   _a    ,   _a    ,   info=_a    ,   split=_a    ,   stopping_strategy=_a     )
    else:
        return _interleave_iterable_datasets(
            _a    ,   _a    ,   _a    ,   info=_a    ,   split=_a    ,   stopping_strategy=_a     )







def 						snake_case_							(_a	:							List[DatasetType]    ,   _a	:							Optional[DatasetInfo] = None    ,   _a	:							Optional[NamedSplit] = None    ,   _a	:							int = 0    ,   ):

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




