



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


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


SCREAMING_SNAKE_CASE_:int					=						TypeVar("""DatasetType""", Dataset, IterableDataset)




def      __UpperCamelCase     (  _lowerCAmelCase				,					_lowerCAmelCase = None				,					_lowerCAmelCase = None				,					_lowerCAmelCase = None				,					_lowerCAmelCase = None				,					_lowerCAmelCase = "first_exhausted"				,					)	->  int:



    """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(_lowerCAmelCase		):
        if not isinstance(_lowerCAmelCase				,					(Dataset, IterableDataset)		):
            if isinstance(_lowerCAmelCase				,					(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(_lowerCAmelCase		)}\n'''
                    f'''Please pick one to interleave with the other datasets, for example: dataset[\'{next(iter(_lowerCAmelCase		)		)}\']'''		)
            raise ValueError(
                f'''Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(_lowerCAmelCase		).__name__}.'''		)
        if i == 0:
            A					,							A			:	List[Any]										=       (
                (Dataset, IterableDataset) if isinstance(_lowerCAmelCase				,					_lowerCAmelCase		) else (IterableDataset, Dataset)
            )
        elif not isinstance(_lowerCAmelCase				,					_lowerCAmelCase		):
            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(
            _lowerCAmelCase				,					_lowerCAmelCase				,					_lowerCAmelCase				,					info=_lowerCAmelCase				,					split=_lowerCAmelCase				,					stopping_strategy=_lowerCAmelCase		)
    else:
        return _interleave_iterable_datasets(
            _lowerCAmelCase				,					_lowerCAmelCase				,					_lowerCAmelCase				,					info=_lowerCAmelCase				,					split=_lowerCAmelCase				,					stopping_strategy=_lowerCAmelCase		)




def      __UpperCamelCase     (  _lowerCAmelCase				,					_lowerCAmelCase = None				,					_lowerCAmelCase = None				,					_lowerCAmelCase = 0				,					)	->  Any:



    """simple docstring"""






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







from random import randint, random




def      __UpperCamelCase     (  _lowerCAmelCase				,					_lowerCAmelCase				,					_lowerCAmelCase				,					_lowerCAmelCase = False				,					_lowerCAmelCase = False				,					_lowerCAmelCase = 5				,					)	->  list:



    """simple docstring"""






    A			:	Any										=       [[-1] * number_of_cells]  # Create a highway without any car
    A			:	Tuple										=       0
    A			:	Dict										=       max(_lowerCAmelCase				,					0		)
    while i < number_of_cells:
        A			:	Any										=       (
            randint(0				,					_lowerCAmelCase		) if random_speed else initial_speed
        )  # Place the cars
        i += (
            randint(1				,					max_speed * 2		) if random_frequency else frequency
        )  # Arbitrary number, may need tuning
    return highway




def      __UpperCamelCase     (  _lowerCAmelCase				,					_lowerCAmelCase		)	->  int:



    """simple docstring"""






    A			:	List[str]										=       0
    A			:	Dict										=       highway_now[car_index + 1 :]
    for cell in range(len(_lowerCAmelCase		)		):  # May need a better name for this
        if cells[cell] != -1:  # If the cell is not empty then
            return distance  # we have the distance we wanted
        distance += 1
    # Here if the car is near the end of the highway
    return distance + get_distance(_lowerCAmelCase				,					-1		)




def      __UpperCamelCase     (  _lowerCAmelCase				,					_lowerCAmelCase				,					_lowerCAmelCase		)	->  list:



    """simple docstring"""






    A			:	str										=       len(_lowerCAmelCase		)
    # Beforce calculations, the highway is empty
    A			:	Any										=       [-1] * number_of_cells

    for car_index in range(_lowerCAmelCase		):
        if highway_now[car_index] != -1:
            # Add 1 to the current speed of the car and cap the speed
            A			:	str										=       min(highway_now[car_index] + 1				,					_lowerCAmelCase		)
            # Number of empty cell before the next car
            A			:	Optional[int]										=       get_distance(_lowerCAmelCase				,					_lowerCAmelCase		) - 1
            # We can't have the car causing an accident
            A			:	Any										=       min(next_highway[car_index]				,					_lowerCAmelCase		)
            if random() < probability:
                # Randomly, a driver will slow down
                A			:	Optional[Any]										=       max(next_highway[car_index] - 1				,					0		)
    return next_highway




def      __UpperCamelCase     (  _lowerCAmelCase				,					_lowerCAmelCase				,					_lowerCAmelCase				,					_lowerCAmelCase		)	->  list:



    """simple docstring"""






    A			:	Any										=       len(highway[0]		)

    for i in range(_lowerCAmelCase		):
        A			:	Optional[int]										=       update(highway[i]				,					_lowerCAmelCase				,					_lowerCAmelCase		)
        A			:	Tuple										=       [-1] * number_of_cells

        for car_index in range(_lowerCAmelCase		):
            A			:	Dict										=       next_speeds_calculated[car_index]
            if speed != -1:
                # Change the position based on the speed (with % to create the loop)
                A			:	Optional[int]										=       (car_index + speed) % number_of_cells
                # Commit the change of position
                A			:	Dict										=       speed
        highway.append(_lowerCAmelCase		)

    return highway


if __name__ == "__main__":
     import doctest

     doctest.testmod()


