




from typing import Any



class       a					:

     '''simple docstring'''





     def __init__(     self       :      Tuple ,   __snake_case       :      Any    ):
         UpperCAmelCase_										=					data
         UpperCAmelCase_										=					None




     def __repr__(     self       :      Union[str, Any]    ):
         return F'Node({self.data})'



class       a					:

     '''simple docstring'''





     def __init__(     self       :      List[str]    ):
         UpperCAmelCase_										=					None
     def __iter__(     self       :      Union[str, Any]    ):
         UpperCAmelCase_										=					self.head
         while node:
             yield node.data
             UpperCAmelCase_										=					node.next
     def __len__(     self       :      Dict    ):
         return sum(1 for _ in self    )
     def __repr__(     self       :      str    ):
         return "->".join([str(__snake_case    ) for item in self]    )
     def __getitem__(     self       :      Tuple ,   __snake_case       :      int    ):
         if not 0 <= index < len(self    ):
             raise ValueError('''list index out of range.'''    )
         for i, node in enumerate(self    ):
             if i == index:
                 return node
         return None
     def __setitem__(     self       :      Optional[int] ,   __snake_case       :      int ,   __snake_case       :      Any    ):
         if not 0 <= index < len(self    ):
             raise ValueError('''list index out of range.'''    )
         UpperCAmelCase_										=					self.head
         for _ in range(__snake_case    ):
             UpperCAmelCase_										=					current.next
         UpperCAmelCase_										=					data
     def   lowerCamelCase_       (     self       :      int ,   __snake_case       :      Any    ):
         self.insert_nth(len(self    ) ,   __snake_case    )
     def   lowerCamelCase_       (     self       :      List[Any] ,   __snake_case       :      Any    ):
         self.insert_nth(0 ,   __snake_case    )
     def   lowerCamelCase_       (     self       :      Union[str, Any] ,   __snake_case       :      int ,   __snake_case       :      Any    ):
         if not 0 <= index <= len(self    ):
             raise IndexError('''list index out of range'''    )
         UpperCAmelCase_										=					Node(__snake_case    )
         if self.head is None:
             UpperCAmelCase_										=					new_node
         elif index == 0:
             UpperCAmelCase_										=					self.head  # link new_node to head
             UpperCAmelCase_										=					new_node
         else:
             UpperCAmelCase_										=					self.head
             for _ in range(index - 1    ):
                 UpperCAmelCase_										=					temp.next
             UpperCAmelCase_										=					temp.next
             UpperCAmelCase_										=					new_node
     def   lowerCamelCase_       (     self       :      List[str]    ):  # print every node data
         print(self    )
     def   lowerCamelCase_       (     self       :      List[Any]    ):
         return self.delete_nth(0    )
     def   lowerCamelCase_       (     self       :      Optional[int]    ):  # delete from tail
         return self.delete_nth(len(self    ) - 1    )
     def   lowerCamelCase_       (     self       :      Tuple ,   __snake_case       :      int = 0    ):
         if not 0 <= index <= len(self    ) - 1:  # test if index is valid
             raise IndexError('''List index out of range.'''    )
         UpperCAmelCase_										=					self.head  # default first node
         if index == 0:
             UpperCAmelCase_										=					self.head.next
         else:
             UpperCAmelCase_										=					self.head
             for _ in range(index - 1    ):
                 UpperCAmelCase_										=					temp.next
             UpperCAmelCase_										=					temp.next
             UpperCAmelCase_										=					temp.next.next
         return delete_node.data
     def   lowerCamelCase_       (     self       :      Dict    ):
         return self.head is None




     def   lowerCamelCase_       (     self       :      Any    ):
         UpperCAmelCase_										=					None
         UpperCAmelCase_										=					self.head

         while current:
             # Store the current node's next node.
             UpperCAmelCase_										=					current.next
             # Make the current node's next point backwards
             UpperCAmelCase_										=					prev
             # Make the previous node be the current node
             UpperCAmelCase_										=					current
             # Make the current node the next node (to progress iteration)
             UpperCAmelCase_										=					next_node
         # Return prev in order to put the head at the end
         UpperCAmelCase_										=					prev




def  SCREAMING_SNAKE_CASE     (	)  ->							None:
    UpperCAmelCase_										=					LinkedList()
    assert linked_list.is_empty() is True
    assert str(__UpperCamelCase				) == ""

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

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

    for i in range(10				):
        assert len(__UpperCamelCase				) == i
        linked_list.insert_nth(__UpperCamelCase	,					i + 1				)
    assert str(__UpperCamelCase				) == "->".join(str(__UpperCamelCase				) for i in range(1	,					11				)				)

    linked_list.insert_head(0				)
    linked_list.insert_tail(11				)
    assert str(__UpperCamelCase				) == "->".join(str(__UpperCamelCase				) for i in range(0	,					12				)				)

    assert linked_list.delete_head() == 0
    assert linked_list.delete_nth(9				) == 10
    assert linked_list.delete_tail() == 11
    assert len(__UpperCamelCase				) == 9
    assert str(__UpperCamelCase				) == "->".join(str(__UpperCamelCase				) for i in range(1	,					10				)				)

    assert all(linked_list[i] == i + 1 for i in range(0	,					9				)				) is True

    for i in range(0	,					9				):
        UpperCAmelCase_										=					-i
    assert all(linked_list[i] == -i for i in range(0	,					9				)				) is True

    linked_list.reverse()
    assert str(__UpperCamelCase				) == "->".join(str(__UpperCamelCase				) for i in range(-8	,					1				)				)




def  SCREAMING_SNAKE_CASE     (	)  ->							None:
    UpperCAmelCase_										=					[
        -9,
        100,
        Node(7734_5112				),
        '''dlrow olleH''',
        7,
        5555,
        0,
        -192.55_555,
        '''Hello, world!''',
        77.9,
        Node(10				),
        None,
        None,
        12.20,
    ]
    UpperCAmelCase_										=					LinkedList()

    for i in test_input:
        linked_list.insert_tail(__UpperCamelCase				)

    # Check if it's empty or not
    assert linked_list.is_empty() is False
    assert (
        str(__UpperCamelCase				) == "-9->100->Node(77345112)->dlrow olleH->7->5555->0->"
        "-192.55555->Hello, world!->77.9->Node(10)->None->None->12.2"
    )

    # Delete the head
    UpperCAmelCase_										=					linked_list.delete_head()
    assert result == -9
    assert (
        str(__UpperCamelCase				) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
        "Hello, world!->77.9->Node(10)->None->None->12.2"
    )

    # Delete the tail
    UpperCAmelCase_										=					linked_list.delete_tail()
    assert result == 12.2
    assert (
        str(__UpperCamelCase				) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
        "Hello, world!->77.9->Node(10)->None->None"
    )

    # Delete a node in specific location in linked list
    UpperCAmelCase_										=					linked_list.delete_nth(10				)
    assert result is None
    assert (
        str(__UpperCamelCase				) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
        "Hello, world!->77.9->Node(10)->None"
    )

    # Add a Node instance to its head
    linked_list.insert_head(Node('''Hello again, world!'''				)				)
    assert (
        str(__UpperCamelCase				)
        == "Node(Hello again, world!)->100->Node(77345112)->dlrow olleH->"
        "7->5555->0->-192.55555->Hello, world!->77.9->Node(10)->None"
    )

    # Add None to its tail
    linked_list.insert_tail(__UpperCamelCase				)
    assert (
        str(__UpperCamelCase				)
        == "Node(Hello again, world!)->100->Node(77345112)->dlrow olleH->"
        "7->5555->0->-192.55555->Hello, world!->77.9->Node(10)->None->None"
    )

    # Reverse the linked list
    linked_list.reverse()
    assert (
        str(__UpperCamelCase				)
        == "None->None->Node(10)->77.9->Hello, world!->-192.55555->0->5555->"
        "7->dlrow olleH->Node(77345112)->100->Node(Hello again, world!)"
    )




def  SCREAMING_SNAKE_CASE     (	)  ->							List[Any]:
    from doctest import testmod

    testmod()

    UpperCAmelCase_										=					LinkedList()
    linked_list.insert_head(input('''Inserting 1st at head '''				).strip()				)
    linked_list.insert_head(input('''Inserting 2nd at head '''				).strip()				)
    print('''\nPrint list:'''				)
    linked_list.print_list()
    linked_list.insert_tail(input('''\nInserting 1st at tail '''				).strip()				)
    linked_list.insert_tail(input('''Inserting 2nd at tail '''				).strip()				)
    print('''\nPrint list:'''				)
    linked_list.print_list()
    print('''\nDelete head'''				)
    linked_list.delete_head()
    print('''Delete tail'''				)
    linked_list.delete_tail()
    print('''\nPrint list:'''				)
    linked_list.print_list()
    print('''\nReverse linked list'''				)
    linked_list.reverse()
    print('''\nPrint list:'''				)
    linked_list.print_list()
    print('''\nString representation of linked list:'''				)
    print(__UpperCamelCase				)
    print('''\nReading/changing Node data using indexing:'''				)
    print(f'Element at Position 1: {linked_list[1]}'				)
    UpperCAmelCase_										=					input('''Enter New Value: '''				).strip()
    print('''New list:'''				)
    print(__UpperCamelCase				)
    print(f'length of linked_list is : {len(__UpperCamelCase				)}'				)


if __name__ == "__main__":
 main()











from typing import List, Optional, Union

import numpy as np

from ...feature_extraction_sequence_utils import SequenceFeatureExtractor
from ...feature_extraction_utils import BatchFeature
from ...utils import PaddingStrategy, TensorType, logging


_lowerCamelCase      			=						logging.get_logger(__name__)



class       a					(       _A      ):

     '''simple docstring'''





     lowerCAmelCase    :	str       		=  ['input_values', 'padding_mask']
     def __init__(     self       :      Optional[Any] ,   __snake_case       :      int = 1 ,   __snake_case       :      int = 2_40_00 ,   __snake_case       :      float = 0.0 ,   __snake_case       :      float = None ,   __snake_case       :      float = None ,   **__snake_case       :      Dict ,   ):
         super().__init__(feature_size=__snake_case ,   sampling_rate=__snake_case ,   padding_value=__snake_case ,   **__snake_case    )
         UpperCAmelCase_										=					chunk_length_s
         UpperCAmelCase_										=					overlap
     @property
     def   lowerCamelCase_       (     self       :      List[str]    ):
         if self.chunk_length_s is None:
             return None
         else:
             return int(self.chunk_length_s * self.sampling_rate    )
     @property
     def   lowerCamelCase_       (     self       :      List[str]    ):
         if self.chunk_length_s is None or self.overlap is None:
             return None
         else:
             return max(1 ,   int((1.0 - self.overlap) * self.chunk_length    )    )




     def __call__(     self       :      List[str] ,   __snake_case       :      Union[np.ndarray, List[float], List[np.ndarray], List[List[float]]] ,   __snake_case       :      Optional[Union[bool, str, PaddingStrategy]] = None ,   __snake_case       :      Optional[bool] = False ,   __snake_case       :      Optional[int] = None ,   __snake_case       :      Optional[Union[str, TensorType]] = None ,   __snake_case       :      Optional[int] = None ,   ):
         if sampling_rate is not None:
             if sampling_rate != self.sampling_rate:
                 raise ValueError(
                     F'The model corresponding to this feature extractor: {self} was trained using a sampling rate of'
                     F' {self.sampling_rate}. Please make sure that the provided audio input was sampled with'
                     F' {self.sampling_rate} and not {sampling_rate}.'    )
         else:
             logger.warning(
                 '''It is strongly recommended to pass the `sampling_rate` argument to this function. '''
                 '''Failing to do so can result in silent errors that might be hard to debug.'''    )

         if padding and truncation:
             raise ValueError('''Both padding and truncation were set. Make sure you only set one.'''    )
         elif padding is None:
             # by default let's pad the inputs
             UpperCAmelCase_										=					True

         UpperCAmelCase_										=					bool(
             isinstance(__snake_case ,   (list, tuple)    ) and (isinstance(raw_audio[0] ,   (np.ndarray, tuple, list)    ))    )

         if is_batched:
             UpperCAmelCase_										=					[np.asarray(__snake_case ,   dtype=np.floataa    ).T for audio in raw_audio]
         elif not is_batched and not isinstance(__snake_case ,   np.ndarray    ):
             UpperCAmelCase_										=					np.asarray(__snake_case ,   dtype=np.floataa    )
         elif isinstance(__snake_case ,   np.ndarray    ) and raw_audio.dtype is np.dtype(np.floataa    ):
             UpperCAmelCase_										=					raw_audio.astype(np.floataa    )

         # always return batch
         if not is_batched:
             UpperCAmelCase_										=					[np.asarray(__snake_case    ).T]

         # verify inputs are valid
         for idx, example in enumerate(__snake_case    ):
             if example.ndim > 2:
                 raise ValueError(F'Expected input shape (channels, length) but got shape {example.shape}'    )
             if self.feature_size == 1 and example.ndim != 1:
                 raise ValueError(F'Expected mono audio but example has {example.shape[-1]} channels'    )
             if self.feature_size == 2 and example.shape[-1] != 2:
                 raise ValueError(F'Expected stereo audio but example has {example.shape[-1]} channels'    )

         UpperCAmelCase_										=					None
         UpperCAmelCase_										=					BatchFeature({'''input_values''': raw_audio}    )
         if self.chunk_stride is not None and self.chunk_length is not None and max_length is None:
             if truncation:
                 UpperCAmelCase_										=					min(array.shape[0] for array in raw_audio    )
                 UpperCAmelCase_										=					int(np.floor(max_length / self.chunk_stride    )    )
                 UpperCAmelCase_										=					(nb_step - 1) * self.chunk_stride + self.chunk_length
             elif padding:
                 UpperCAmelCase_										=					max(array.shape[0] for array in raw_audio    )
                 UpperCAmelCase_										=					int(np.ceil(max_length / self.chunk_stride    )    )
                 UpperCAmelCase_										=					(nb_step - 1) * self.chunk_stride + self.chunk_length
                 UpperCAmelCase_										=					'''max_length'''
             else:
                 UpperCAmelCase_										=					input_values

        # normal padding on batch
         if padded_inputs is None:
             UpperCAmelCase_										=					self.pad(
                 __snake_case ,   max_length=__snake_case ,   truncation=__snake_case ,   padding=__snake_case ,   return_attention_mask=__snake_case ,   )
             if padding:
                 UpperCAmelCase_										=					padded_inputs.pop('''attention_mask'''    )

         UpperCAmelCase_										=					[]
         for example in padded_inputs.pop('''input_values'''    ):
             if self.feature_size == 1:
                 UpperCAmelCase_										=					example[..., None]
             input_values.append(example.T    )

         UpperCAmelCase_										=					input_values
         if return_tensors is not None:
             UpperCAmelCase_										=					padded_inputs.convert_to_tensors(__snake_case    )

         return padded_inputs





