



from typing import Any

class    _A	:



       def __init__(		self							:					List[Any]					,		__SCREAMING_SNAKE_CASE							:					Any):


           '''simple docstring'''

           __a							=    data
           __a							=    None





       def __repr__(		self							:					Optional[Any]):


           '''simple docstring'''

           return F'Node({self.data})'


class    _A	:



       def __init__(		self							:					int):


           '''simple docstring'''

           __a							=    None



       def __iter__(		self							:					int):


           '''simple docstring'''

           __a							=    self.head
           while node:
               yield node.data
               __a							=    node.next



       def __len__(		self							:					str):


           '''simple docstring'''

           return sum(1 for _ in self)



       def __repr__(		self							:					int):


           '''simple docstring'''

           return "->".join([str(__SCREAMING_SNAKE_CASE) for item in self])



       def __getitem__(		self							:					Tuple					,		__SCREAMING_SNAKE_CASE							:					int):


           '''simple docstring'''

           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[Any]					,		__SCREAMING_SNAKE_CASE							:					int					,		__SCREAMING_SNAKE_CASE							:					Any):


           '''simple docstring'''

           if not 0 <= index < len(self):
               raise ValueError('''list index out of range.''')
           __a							=    self.head
           for _ in range(__SCREAMING_SNAKE_CASE):
               __a							=    current.next
           __a							=    data



       def 		_lowerCamelCase      (		self							:					Optional[Any]					,		__SCREAMING_SNAKE_CASE							:					Any):


           '''simple docstring'''

           self.insert_nth(len(self)					,		__SCREAMING_SNAKE_CASE)



       def 		_lowerCamelCase      (		self							:					Any					,		__SCREAMING_SNAKE_CASE							:					Any):


           '''simple docstring'''

           self.insert_nth(0					,		__SCREAMING_SNAKE_CASE)



       def 		_lowerCamelCase      (		self							:					Tuple					,		__SCREAMING_SNAKE_CASE							:					int					,		__SCREAMING_SNAKE_CASE							:					Any):


           '''simple docstring'''

           if not 0 <= index <= len(self):
               raise IndexError('''list index out of range''')
           __a							=    Node(__SCREAMING_SNAKE_CASE)
           if self.head is None:
               __a							=    new_node
           elif index == 0:
               __a							=    self.head  # link new_node to head
               __a							=    new_node
           else:
               __a							=    self.head
               for _ in range(index - 1):
                   __a							=    temp.next
               __a							=    temp.next
               __a							=    new_node



       def 		_lowerCamelCase      (		self							:					Union[str, Any]):  # print every node data


           '''simple docstring'''

           print(self)



       def 		_lowerCamelCase      (		self							:					Optional[int]):


           '''simple docstring'''

           return self.delete_nth(0)



       def 		_lowerCamelCase      (		self							:					List[Any]):  # delete from tail


           '''simple docstring'''

           return self.delete_nth(len(self) - 1)



       def 		_lowerCamelCase      (		self							:					List[str]					,		__SCREAMING_SNAKE_CASE							:					int = 0):


           '''simple docstring'''

           if not 0 <= index <= len(self) - 1:  # test if index is valid
               raise IndexError('''List index out of range.''')
           __a							=    self.head  # default first node
           if index == 0:
               __a							=    self.head.next
           else:
               __a							=    self.head
               for _ in range(index - 1):
                   __a							=    temp.next
               __a							=    temp.next
               __a							=    temp.next.next
           return delete_node.data



       def 		_lowerCamelCase      (		self							:					Optional[int]):


           '''simple docstring'''

           return self.head is None





       def 		_lowerCamelCase      (		self							:					List[str]):


           '''simple docstring'''

           __a							=    None
           __a							=    self.head

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





def 					__snake_case     (      ):
    __a							=    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    ):
        __a							=    -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 					__snake_case     (      ):
    __a							=    [
        -9,
        100,
        Node(77345112    ),
        '''dlrow olleH''',
        7,
        5555,
        0,
        -1_92.5_55_55,
        '''Hello, world!''',
        77.9,
        Node(10    ),
        None,
        None,
        12.20,
    ]
    __a							=    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
    __a							=    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
    __a							=    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
    __a							=    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 					__snake_case     (      ):
    from doctest import testmod

    testmod()

    __a							=    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]}'    )
    __a							=    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, Union

from ..utils import (
    add_end_docstrings,
    is_tf_available,
    is_torch_available,
    is_vision_available,
    logging,
    requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_vision_available():
 from PIL import Image

 from ..image_utils import load_image

if is_tf_available():
 from ..models.auto.modeling_tf_auto import TF_MODEL_FOR_VISION_2_SEQ_MAPPING

if is_torch_available():
 import torch

 from ..models.auto.modeling_auto import MODEL_FOR_VISION_2_SEQ_MAPPING

__snake_case						:Dict						=					logging.get_logger(__name__)

@add_end_docstrings(__UpperCAmelCase   )
class    _A	(     __UpperCAmelCase   ):



       def __init__(		self							:					int					,		*__SCREAMING_SNAKE_CASE							:					Optional[int]					,		**__SCREAMING_SNAKE_CASE							:					str):


           '''simple docstring'''

           super().__init__(*__SCREAMING_SNAKE_CASE					,		**__SCREAMING_SNAKE_CASE)
           requires_backends(self					,		'''vision''')
           self.check_model_type(
               TF_MODEL_FOR_VISION_2_SEQ_MAPPING if self.framework == '''tf''' else MODEL_FOR_VISION_2_SEQ_MAPPING)



       def 		_lowerCamelCase      (		self							:					int					,		__SCREAMING_SNAKE_CASE							:					int=None					,		__SCREAMING_SNAKE_CASE							:					int=None					,		__SCREAMING_SNAKE_CASE							:					Tuple=None):


           '''simple docstring'''

           __a							=    {}
           __a							=    {}

           if prompt is not None:
               __a							=    prompt

           if generate_kwargs is not None:
               __a							=    generate_kwargs
           if max_new_tokens is not None:
               if "generate_kwargs" not in forward_kwargs:
                   __a							=    {}
               if "max_new_tokens" in forward_kwargs["generate_kwargs"]:
                   raise ValueError(
                       '''\'max_new_tokens\' is defined twice, once in \'generate_kwargs\' and once as a direct parameter,'''
                       ''' please use only one''')
               __a							=    max_new_tokens
           return preprocess_params, forward_kwargs, {}



       def __call__(		self							:					Any					,		__SCREAMING_SNAKE_CASE							:					Union[str, List[str], "Image.Image", List["Image.Image"]]					,		**__SCREAMING_SNAKE_CASE							:					Any):


           '''simple docstring'''

           return super().__call__(__SCREAMING_SNAKE_CASE					,		**__SCREAMING_SNAKE_CASE)



       def 		_lowerCamelCase      (		self							:					Optional[int]					,		__SCREAMING_SNAKE_CASE							:					Dict					,		__SCREAMING_SNAKE_CASE							:					Optional[Any]=None):


           '''simple docstring'''

           __a							=    load_image(__SCREAMING_SNAKE_CASE)

           if prompt is not None:
               if not isinstance(__SCREAMING_SNAKE_CASE					,		__SCREAMING_SNAKE_CASE):
                   raise ValueError(
                       F'Received an invalid text input, got - {type(__SCREAMING_SNAKE_CASE)} - but expected a single string. '
                       '''Note also that one single text can be provided for conditional image to text generation.''')

               __a							=    self.model.config.model_type

               if model_type == "git":
                   __a							=    self.image_processor(images=__SCREAMING_SNAKE_CASE					,		return_tensors=self.framework)
                   __a							=    self.tokenizer(text=__SCREAMING_SNAKE_CASE					,		add_special_tokens=__SCREAMING_SNAKE_CASE).input_ids
                   __a							=    [self.tokenizer.cls_token_id] + input_ids
                   __a							=    torch.tensor(__SCREAMING_SNAKE_CASE).unsqueeze(0)
                   model_inputs.update({'''input_ids''': input_ids})

               elif model_type == "pix2struct":
                   __a							=    self.image_processor(images=__SCREAMING_SNAKE_CASE					,		header_text=__SCREAMING_SNAKE_CASE					,		return_tensors=self.framework)

               elif model_type != "vision-encoder-decoder":
                   # vision-encoder-decoder does not support conditional generation
                   __a							=    self.image_processor(images=__SCREAMING_SNAKE_CASE					,		return_tensors=self.framework)
                   __a							=    self.tokenizer(__SCREAMING_SNAKE_CASE					,		return_tensors=self.framework)
                   model_inputs.update(__SCREAMING_SNAKE_CASE)

               else:
                   raise ValueError(F'Model type {model_type} does not support conditional text generation')

           else:
               __a							=    self.image_processor(images=__SCREAMING_SNAKE_CASE					,		return_tensors=self.framework)

           if self.model.config.model_type == "git" and prompt is None:
               __a							=    None

           return model_inputs



       def 		_lowerCamelCase      (		self							:					List[Any]					,		__SCREAMING_SNAKE_CASE							:					str					,		__SCREAMING_SNAKE_CASE							:					Tuple=None):


           '''simple docstring'''

           if (
               "input_ids" in model_inputs
               and isinstance(model_inputs['''input_ids''']					,		__SCREAMING_SNAKE_CASE)
               and all(x is None for x in model_inputs['''input_ids'''])
           ):
               __a							=    None

           if generate_kwargs is None:
               __a							=    {}
           # FIXME: We need to pop here due to a difference in how `generation.py` and `generation.tf_utils.py`
           #  parse inputs. In the Tensorflow version, `generate` raises an error if we don't use `input_ids` whereas
           #  the PyTorch version matches it with `self.model.main_input_name` or `self.model.encoder.main_input_name`
           #  in the `_prepare_model_inputs` method.
           __a							=    model_inputs.pop(self.model.main_input_name)
           __a							=    self.model.generate(__SCREAMING_SNAKE_CASE					,		**__SCREAMING_SNAKE_CASE					,		**__SCREAMING_SNAKE_CASE)
           return model_outputs





       def 		_lowerCamelCase      (		self							:					str					,		__SCREAMING_SNAKE_CASE							:					Union[str, Any]):


           '''simple docstring'''

           __a							=    []
           for output_ids in model_outputs:
               __a							=    {
                   '''generated_text''': self.tokenizer.decode(
                       __SCREAMING_SNAKE_CASE					,		skip_special_tokens=__SCREAMING_SNAKE_CASE					,		)
               }
               records.append(__SCREAMING_SNAKE_CASE)
           return records





