






"""simple docstring"""



# Lint as: python3
import sys
from collections.abc import Mapping
from typing import TYPE_CHECKING

import numpy as np
import pyarrow as pa

from .. import config
from ..utils.py_utils import map_nested
from .formatting import TensorFormatter


if TYPE_CHECKING:
 import torch




class 			lowerCAmelCase__			(    TensorFormatter[Mapping, '''torch.Tensor''', Mapping]   ):
   def __init__(		self      :	str							,			snake_case__      :	List[str]=None							,			**snake_case__      :	Union[str, Any]							):


        '''simple docstring'''
        super().__init__(features=snake_case__							)
        UpperCAmelCase__						:    Any							=							torch_tensor_kwargs
        import torch  # noqa import torch at initialization
   def       __a							(		self      :	str							,			snake_case__      :	Optional[Any]							):


        '''simple docstring'''
        import torch

        if isinstance(snake_case__							,			snake_case__							) and column:
             if all(
                 isinstance(snake_case__							,			torch.Tensor							) and x.shape == column[0].shape and x.dtype == column[0].dtype
                 for x in column							):
                  return torch.stack(snake_case__							)
        return column
   def       __a							(		self      :	Dict							,			snake_case__      :	Any							):


        '''simple docstring'''
        import torch

        if isinstance(snake_case__							,			(str, bytes, type(snake_case__							))							):
             return value
        elif isinstance(snake_case__							,			(np.character, np.ndarray)							) and np.issubdtype(value.dtype							,			np.character							):
             return value.tolist()

        UpperCAmelCase__						:    Optional[Any]							=							{}

        if isinstance(snake_case__							,			(np.number, np.ndarray)							) and np.issubdtype(value.dtype							,			np.integer							):
             UpperCAmelCase__						:    Union[str, Any]							=							{"dtype": torch.intaa}
        elif isinstance(snake_case__							,			(np.number, np.ndarray)							) and np.issubdtype(value.dtype							,			np.floating							):
             UpperCAmelCase__						:    Tuple							=							{"dtype": torch.floataa}
        elif config.PIL_AVAILABLE and "PIL" in sys.modules:
             import PIL.Image

             if isinstance(snake_case__							,			PIL.Image.Image							):
                  UpperCAmelCase__						:    Union[str, Any]							=							np.asarray(snake_case__							)
        return torch.tensor(snake_case__							,			**{**default_dtype, **self.torch_tensor_kwargs}							)
   def       __a							(		self      :	Optional[Any]							,			snake_case__      :	Tuple							):


        '''simple docstring'''
        import torch

        # support for torch, tf, jax etc.
        if hasattr(snake_case__							,			"__array__"							) and not isinstance(snake_case__							,			torch.Tensor							):
             UpperCAmelCase__						:    Optional[int]							=							data_struct.__array__()
        # support for nested types like struct of list of struct
        if isinstance(snake_case__							,			np.ndarray							):
             if data_struct.dtype == object:  # torch tensors cannot be instantied from an array of objects
                  return self._consolidate([self.recursive_tensorize(snake_case__							) for substruct in data_struct]							)
        elif isinstance(snake_case__							,			(list, tuple)							):
             return self._consolidate([self.recursive_tensorize(snake_case__							) for substruct in data_struct]							)
        return self._tensorize(snake_case__							)
   def       __a							(		self      :	Optional[int]							,			snake_case__      :	dict							):


        '''simple docstring'''
        return map_nested(self._recursive_tensorize							,			snake_case__							,			map_list=snake_case__							)
   def       __a							(		self      :	Optional[int]							,			snake_case__      :	pa.Table							):


        '''simple docstring'''
        UpperCAmelCase__						:    List[str]							=							self.numpy_arrow_extractor().extract_row(snake_case__							)
        UpperCAmelCase__						:    Dict							=							self.python_features_decoder.decode_row(snake_case__							)
        return self.recursive_tensorize(snake_case__							)
   def       __a							(		self      :	int							,			snake_case__      :	pa.Table							):


        '''simple docstring'''
        UpperCAmelCase__						:    int							=							self.numpy_arrow_extractor().extract_column(snake_case__							)
        UpperCAmelCase__						:    Optional[int]							=							self.python_features_decoder.decode_column(snake_case__							,			pa_table.column_names[0]							)
        UpperCAmelCase__						:    Optional[int]							=							self.recursive_tensorize(snake_case__							)
        UpperCAmelCase__						:    str							=							self._consolidate(snake_case__							)
        return column




   def       __a							(		self      :	Optional[Any]							,			snake_case__      :	pa.Table							):


        '''simple docstring'''
        UpperCAmelCase__						:    Union[str, Any]							=							self.numpy_arrow_extractor().extract_batch(snake_case__							)
        UpperCAmelCase__						:    Any							=							self.python_features_decoder.decode_batch(snake_case__							)
        UpperCAmelCase__						:    Any							=							self.recursive_tensorize(snake_case__							)
        for column_name in batch:
             UpperCAmelCase__						:    int							=							self._consolidate(batch[column_name]							)
        return batch










"""simple docstring"""



from __future__ import annotations

from collections.abc import Iterator
from typing import Any




class 			lowerCAmelCase__			:
   def __init__(		self      :	Any							,			snake_case__      :	Any							):


        '''simple docstring'''
        UpperCAmelCase__						:    Any							=							data
        UpperCAmelCase__						:    Node | None							=							None




class 			lowerCAmelCase__			:
   def __init__(		self      :	Dict							):


        '''simple docstring'''
        UpperCAmelCase__						:    Tuple							=							None
        UpperCAmelCase__						:    Optional[int]							=							None
   def __iter__(		self      :	Tuple							):


        '''simple docstring'''
        UpperCAmelCase__						:    Optional[int]							=							self.head
        while self.head:
             yield node.data
             UpperCAmelCase__						:    Optional[Any]							=							node.next
             if node == self.head:
                  break
   def __len__(		self      :	Tuple							):


        '''simple docstring'''
        return sum(1 for _ in self							)
   def __repr__(		self      :	str							):


        '''simple docstring'''
        return "->".join(str(snake_case__							) for item in iter(self							)							)
   def       __a							(		self      :	Optional[Any]							,			snake_case__      :	Any							):


        '''simple docstring'''
        self.insert_nth(len(self							)							,			snake_case__							)
   def       __a							(		self      :	Optional[Any]							,			snake_case__      :	Any							):


        '''simple docstring'''
        self.insert_nth(0							,			snake_case__							)
   def       __a							(		self      :	Any							,			snake_case__      :	int							,			snake_case__      :	Any							):


        '''simple docstring'''
        if index < 0 or index > len(self							):
             raise IndexError("list index out of range."							)
        UpperCAmelCase__						:    Any							=							Node(snake_case__							)
        if self.head is None:
             UpperCAmelCase__						:    Union[str, Any]							=							new_node  # first node points itself
             UpperCAmelCase__						:    List[str]							=							new_node
        elif index == 0:  # insert at head
             UpperCAmelCase__						:    Optional[Any]							=							self.head
             UpperCAmelCase__						:    List[Any]							=							new_node
        else:
             UpperCAmelCase__						:    Union[str, Any]							=							self.head
             for _ in range(index - 1							):
                  UpperCAmelCase__						:    Dict							=							temp.next
             UpperCAmelCase__						:    Tuple							=							temp.next
             UpperCAmelCase__						:    str							=							new_node
             if index == len(self							) - 1:  # insert at tail
                  UpperCAmelCase__						:    Union[str, Any]							=							new_node
   def       __a							(		self      :	List[Any]							):


        '''simple docstring'''
        return self.delete_nth(0							)
   def       __a							(		self      :	Optional[Any]							):


        '''simple docstring'''
        return self.delete_nth(len(self							) - 1							)
   def       __a							(		self      :	Tuple							,			snake_case__      :	int = 0							):


        '''simple docstring'''
        if not 0 <= index < len(self							):
             raise IndexError("list index out of range."							)
        UpperCAmelCase__						:    Union[str, Any]							=							self.head
        if self.head == self.tail:  # just one node
             UpperCAmelCase__						:    str							=							None
        elif index == 0:  # delete head node
             UpperCAmelCase__						:    List[Any]							=							self.tail.next.next
             UpperCAmelCase__						:    Dict							=							self.head.next
        else:
             UpperCAmelCase__						:    List[Any]							=							self.head
             for _ in range(index - 1							):
                  UpperCAmelCase__						:    Tuple							=							temp.next
             UpperCAmelCase__						:    Dict							=							temp.next
             UpperCAmelCase__						:    Dict							=							temp.next.next
             if index == len(self							) - 1:  # delete at tail
                  UpperCAmelCase__						:    int							=							temp
        return delete_node.data




   def       __a							(		self      :	Any							):


        '''simple docstring'''
        return len(self							) == 0




def 	SCREAMING_SNAKE_CASE__       (  )->		None:






     '''simple docstring'''



     UpperCAmelCase__						:    str							=							CircularLinkedList()
     assert len(snake_case				) == 0
     assert circular_linked_list.is_empty() is True
     assert str(snake_case				) == ""

     try:
          circular_linked_list.delete_front()
          raise AssertionError  # This should not happen
     except IndexError:
          assert True  # This should happen

     try:
          circular_linked_list.delete_tail()
          raise AssertionError  # This should not happen
     except IndexError:
          assert True  # This should happen

     try:
          circular_linked_list.delete_nth(-1				)
          raise AssertionError
     except IndexError:
          assert True

     try:
          circular_linked_list.delete_nth(0				)
          raise AssertionError
     except IndexError:
          assert True

     assert circular_linked_list.is_empty() is True
     for i in range(5				):
          assert len(snake_case				) == i
          circular_linked_list.insert_nth(snake_case			,					i + 1				)
     assert str(snake_case				) == "->".join(str(snake_case				) for i in range(1			,					6				)				)

     circular_linked_list.insert_tail(6				)
     assert str(snake_case				) == "->".join(str(snake_case				) for i in range(1			,					7				)				)
     circular_linked_list.insert_head(0				)
     assert str(snake_case				) == "->".join(str(snake_case				) for i in range(0			,					7				)				)

     assert circular_linked_list.delete_front() == 0
     assert circular_linked_list.delete_tail() == 6
     assert str(snake_case				) == "->".join(str(snake_case				) for i in range(1			,					6				)				)
     assert circular_linked_list.delete_nth(2				) == 3

     circular_linked_list.insert_nth(2			,					3				)
     assert str(snake_case				) == "->".join(str(snake_case				) for i in range(1			,					6				)				)

     assert circular_linked_list.is_empty() is False


if __name__ == "__main__":
 import doctest

 doctest.testmod()


