
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__   :		Union[str, Any] 		=logging.get_logger(__name__)


A__   :		Optional[Any] 		=TypeVar('DatasetType', Dataset, IterableDataset)







def        A_     (						__SCREAMING_SNAKE_CASE						:  List[DatasetType]			,     __SCREAMING_SNAKE_CASE						:  Optional[List[float]] = None			,     __SCREAMING_SNAKE_CASE						:  Optional[int] = None			,     __SCREAMING_SNAKE_CASE						:  Optional[DatasetInfo] = None			,     __SCREAMING_SNAKE_CASE						:  Optional[NamedSplit] = None			,     __SCREAMING_SNAKE_CASE						:  Literal["first_exhausted", "all_exhausted"] = "first_exhausted"			,     )				->       DatasetType:





  """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(__SCREAMING_SNAKE_CASE ):
    if not isinstance(__SCREAMING_SNAKE_CASE			,     (Dataset, IterableDataset) ):
      if isinstance(__SCREAMING_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(__SCREAMING_SNAKE_CASE )}\n"
            F"Please pick one to interleave with the other datasets, for example: dataset['{next(iter(__SCREAMING_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(__SCREAMING_SNAKE_CASE ).__name__}." )
    if i == 0:
      __A		:     Optional[Any]												=		(
          (Dataset, IterableDataset) if isinstance(__SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE ) else (IterableDataset, Dataset)
      )
    elif not isinstance(__SCREAMING_SNAKE_CASE			,     __SCREAMING_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(
        __SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     info=__SCREAMING_SNAKE_CASE			,     split=__SCREAMING_SNAKE_CASE			,     stopping_strategy=__SCREAMING_SNAKE_CASE )
  else:
    return _interleave_iterable_datasets(
        __SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     info=__SCREAMING_SNAKE_CASE			,     split=__SCREAMING_SNAKE_CASE			,     stopping_strategy=__SCREAMING_SNAKE_CASE )







def        A_     (						__SCREAMING_SNAKE_CASE						:  List[DatasetType]			,     __SCREAMING_SNAKE_CASE						:  Optional[DatasetInfo] = None			,     __SCREAMING_SNAKE_CASE						:  Optional[NamedSplit] = None			,     __SCREAMING_SNAKE_CASE						:  int = 0			,     )				->       DatasetType:





  """simple docstring"""

  if not dsets:
    raise ValueError("""Unable to concatenate an empty list of datasets.""" )
  for i, dataset in enumerate(__SCREAMING_SNAKE_CASE ):
    if not isinstance(__SCREAMING_SNAKE_CASE			,     (Dataset, IterableDataset) ):
      if isinstance(__SCREAMING_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(__SCREAMING_SNAKE_CASE )}\n"
            F"Please pick one to interleave with the other datasets, for example: dataset['{next(iter(__SCREAMING_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(__SCREAMING_SNAKE_CASE ).__name__}." )
    if i == 0:
      __A		:     Optional[Any]												=		(
          (Dataset, IterableDataset) if isinstance(__SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE ) else (IterableDataset, Dataset)
      )
    elif not isinstance(__SCREAMING_SNAKE_CASE			,     __SCREAMING_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(__SCREAMING_SNAKE_CASE			,     info=__SCREAMING_SNAKE_CASE			,     split=__SCREAMING_SNAKE_CASE			,     axis=__SCREAMING_SNAKE_CASE )
  else:
    return _concatenate_iterable_datasets(__SCREAMING_SNAKE_CASE			,     info=__SCREAMING_SNAKE_CASE			,     split=__SCREAMING_SNAKE_CASE			,     axis=__SCREAMING_SNAKE_CASE )





'''simple docstring'''
def        A_     (						__SCREAMING_SNAKE_CASE						:  Dict )				->       Optional[Any]:





  """simple docstring"""

  if not head:
    return True
  # split the list to two parts
  __A							,					__A		:     Any												=		head.next, head
  while fast and fast.next:
    __A		:     List[str]												=		fast.next.next
    __A		:     List[Any]												=		slow.next
  __A		:     int												=		slow.next
  __A		:     List[str]												=		None  # Don't forget here! But forget still works!
  # reverse the second part
  __A		:     Dict												=		None
  while second:
    __A		:     Dict												=		second.next
    __A		:     str												=		node
    __A		:     int												=		second
    __A		:     Optional[int]												=		nxt
  # compare two parts
  # second part has the same or one less node
  while node:
    if node.val != head.val:
      return False
    __A		:     List[Any]												=		node.next
    __A		:     Tuple												=		head.next
  return True







def        A_     (						__SCREAMING_SNAKE_CASE						:  Union[str, Any] )				->       Optional[int]:





  """simple docstring"""

  if not head or not head.next:
    return True

  # 1. Get the midpoint (slow)
  __A		:     int												=		head
  while fast and fast.next:
    __A							,					__A		:     Optional[int]												=		fast.next.next, slow.next

  # 2. Push the second half into the stack
  __A		:     Union[str, Any]												=		[slow.val]
  while slow.next:
    __A		:     List[str]												=		slow.next
    stack.append(slow.val )

  # 3. Comparison
  while stack:
    if stack.pop() != cur.val:
      return False
    __A		:     Tuple												=		cur.next

  return True







def        A_     (						__SCREAMING_SNAKE_CASE						:  Dict )				->       Any:





  """simple docstring"""

  if not head or not head.next:
    return True
  __A		:     List[Any]												=		{}
  __A		:     Optional[int]												=		0
  while head:
    if head.val in d:
      d[head.val].append(__SCREAMING_SNAKE_CASE )
    else:
      __A		:     Tuple												=		[pos]
    __A		:     List[Any]												=		head.next
    pos += 1
  __A		:     List[Any]												=		pos - 1
  __A		:     List[str]												=		0
  for v in d.values():
    if len(__SCREAMING_SNAKE_CASE ) % 2 != 0:
      middle += 1
    else:
      __A		:     List[Any]												=		0
      for i in range(0			,     len(__SCREAMING_SNAKE_CASE ) ):
        if v[i] + v[len(__SCREAMING_SNAKE_CASE ) - 1 - step] != checksum:
          return False
        step += 1
    if middle > 1:
      return False
  return True



