
import enum
import warnings

from ..tokenization_utils import TruncationStrategy
from ..utils import add_end_docstrings, is_tf_available, is_torch_available, logging
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_tf_available():
		import tensorflow as tf

		from ..models.auto.modeling_tf_auto import TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING

if is_torch_available():
		from ..models.auto.modeling_auto import MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING

lowerCAmelCase__:    Any      = logging.get_logger(__name__)

class 							snake_case_ (				enum.Enum    ):
			__lowerCamelCase							:     str						=			0
			__lowerCamelCase							:     int						=			1

@add_end_docstrings(lowerCAmelCase    )
class 							snake_case_ (				lowerCAmelCase    ):
			__lowerCamelCase							:     Tuple						=			"""generated"""





			def __init__(		self      ,						*__lowerCAmelCase      ,						**__lowerCAmelCase      ):
					super().__init__(*_lowercase      ,						**_lowercase      )

					self.check_model_type(
					    TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
					    if self.framework == 'tf'
					    else MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING      )





			def 						__A						(		self      ,						__lowerCAmelCase=None      ,						__lowerCAmelCase=None      ,						__lowerCAmelCase=None      ,						__lowerCAmelCase=None      ,						__lowerCAmelCase=None      ,						__lowerCAmelCase=None      ,						**__lowerCAmelCase      ,						):
					SCREAMING_SNAKE_CASE_					:	Any		  =			{}
					if truncation is not None:
							SCREAMING_SNAKE_CASE_					:	Tuple		  =			truncation

					SCREAMING_SNAKE_CASE_					:	List[Any]		  =			generate_kwargs

					SCREAMING_SNAKE_CASE_					:	Optional[int]		  =			{}
					if return_tensors is not None and return_type is None:
							SCREAMING_SNAKE_CASE_					:	Dict		  =			ReturnType.TENSORS if return_tensors else ReturnType.TEXT
					if return_type is not None:
							SCREAMING_SNAKE_CASE_					:	List[str]		  =			return_type

					if clean_up_tokenization_spaces is not None:
							SCREAMING_SNAKE_CASE_					:	Tuple		  =			clean_up_tokenization_spaces

					if stop_sequence is not None:
							SCREAMING_SNAKE_CASE_					:	Tuple		  =			self.tokenizer.encode(_lowercase      ,						add_special_tokens=_lowercase      )
							if len(_lowercase      ) > 1:
									warnings.warn(
									    'Stopping on a multiple token sequence is not yet supported on transformers. The first token of'
									    ' the stop sequence will be used as the stop sequence string in the interim.'      )
							SCREAMING_SNAKE_CASE_					:	Tuple		  =			stop_sequence_ids[0]

					return preprocess_params, forward_params, postprocess_params





			def 						__A						(		self      ,						__lowerCAmelCase      ,						__lowerCAmelCase      ,						__lowerCAmelCase      ):
					return True





			def 						__A						(		self      ,						*__lowerCAmelCase      ,						__lowerCAmelCase      ):
					SCREAMING_SNAKE_CASE_					:	Tuple		  =			self.model.config.prefix if self.model.config.prefix is not None else ''
					if isinstance(args[0]      ,						_lowercase      ):
							if self.tokenizer.pad_token_id is None:
									raise ValueError('Please make sure that the tokenizer has a pad_token_id when using a batch input'      )
							SCREAMING_SNAKE_CASE_					:	Optional[Any]		  =			([prefix + arg for arg in args[0]],)
							SCREAMING_SNAKE_CASE_					:	List[Any]		  =			True

					elif isinstance(args[0]      ,						_lowercase      ):
							SCREAMING_SNAKE_CASE_					:	Optional[int]		  =			(prefix + args[0],)
							SCREAMING_SNAKE_CASE_					:	Optional[int]		  =			False
					else:
							raise ValueError(
							    F' `args[0]`: {args[0]} have the wrong format. The should be either of type `str` or type `list`'      )
					SCREAMING_SNAKE_CASE_					:	List[Any]		  =			self.tokenizer(*_lowercase      ,						padding=_lowercase      ,						truncation=_lowercase      ,						return_tensors=self.framework      )
					# This is produced by tokenizers but is an invalid generate kwargs
					if "token_type_ids" in inputs:
							del inputs["token_type_ids"]
					return inputs





			def __call__(		self      ,						*__lowerCAmelCase      ,						**__lowerCAmelCase      ):
					SCREAMING_SNAKE_CASE_					:	List[Any]		  =			super().__call__(*_lowercase      ,						**_lowercase      )
					if (
					    isinstance(args[0]      ,						_lowercase      )
					    and all(isinstance(_lowercase      ,						_lowercase      ) for el in args[0]      )
					    and all(len(_lowercase      ) == 1 for res in result      )
					):
							return [res[0] for res in result]
					return result





			def 						__A						(		self      ,						__lowerCAmelCase      ,						__lowerCAmelCase=TruncationStrategy.DO_NOT_TRUNCATE      ,						**__lowerCAmelCase      ):
					SCREAMING_SNAKE_CASE_					:	List[Any]		  =			self._parse_and_tokenize(_lowercase      ,						truncation=_lowercase      ,						**_lowercase      )
					return inputs





			def 						__A						(		self      ,						__lowerCAmelCase      ,						**__lowerCAmelCase      ):
					if self.framework == "pt":
							SCREAMING_SNAKE_CASE_  ,      SCREAMING_SNAKE_CASE_					:	Tuple		  =			model_inputs['input_ids'].shape
					elif self.framework == "tf":
							SCREAMING_SNAKE_CASE_  ,      SCREAMING_SNAKE_CASE_					:	Dict		  =			tf.shape(model_inputs['input_ids']      ).numpy()

					SCREAMING_SNAKE_CASE_					:	int		  =			generate_kwargs.get('min_length'      ,						self.model.config.min_length      )
					SCREAMING_SNAKE_CASE_					:	Dict		  =			generate_kwargs.get('max_length'      ,						self.model.config.max_length      )
					self.check_inputs(_lowercase      ,						generate_kwargs['min_length']      ,						generate_kwargs['max_length']      )
					SCREAMING_SNAKE_CASE_					:	int		  =			self.model.generate(**_lowercase      ,						**_lowercase      )
					SCREAMING_SNAKE_CASE_					:	int		  =			output_ids.shape[0]
					if self.framework == "pt":
							SCREAMING_SNAKE_CASE_					:	List[Any]		  =			output_ids.reshape(_lowercase      ,						out_b // in_b      ,						*output_ids.shape[1:]      )
					elif self.framework == "tf":
							SCREAMING_SNAKE_CASE_					:	int		  =			tf.reshape(_lowercase      ,						(in_b, out_b // in_b, *output_ids.shape[1:])      )
					return {"output_ids": output_ids}






			def 						__A						(		self      ,						__lowerCAmelCase      ,						__lowerCAmelCase=ReturnType.TEXT      ,						__lowerCAmelCase=False      ):
					SCREAMING_SNAKE_CASE_					:	Tuple		  =			[]
					for output_ids in model_outputs["output_ids"][0]:
							if return_type == ReturnType.TENSORS:
									SCREAMING_SNAKE_CASE_					:	Optional[Any]		  =			{F'{self.return_name}_token_ids': output_ids}
							elif return_type == ReturnType.TEXT:
									SCREAMING_SNAKE_CASE_					:	List[str]		  =			{
									    F'{self.return_name}_text': self.tokenizer.decode(
									        _lowercase      ,						skip_special_tokens=_lowercase      ,						clean_up_tokenization_spaces=_lowercase      ,						)
									}
							records.append(_lowercase      )
					return records

@add_end_docstrings(lowerCAmelCase    )
class 							snake_case_ (				lowerCAmelCase    ):
			__lowerCamelCase							:     List[Any]						=			"""summary"""





			def __call__(		self      ,						*__lowerCAmelCase      ,						**__lowerCAmelCase      ):
					return super().__call__(*_lowercase      ,						**_lowercase      )






			def 						__A						(		self      ,						__lowerCAmelCase      ,						__lowerCAmelCase      ,						__lowerCAmelCase      ):
					if max_length < min_length:
							logger.warning(F'Your min_length={min_length} must be inferior than your max_length={max_length}.'      )

					if input_length < max_length:
							logger.warning(
							    F'Your max_length is set to {max_length}, but your input_length is only {input_length}. Since this is '
							    'a summarization task, where outputs shorter than the input are typically wanted, you might '
							    F'consider decreasing max_length manually, e.g. summarizer(\'...\', max_length={input_length//2})'      )

@add_end_docstrings(lowerCAmelCase    )
class 							snake_case_ (				lowerCAmelCase    ):
			__lowerCamelCase							:     Dict						=			"""translation"""





			def 						__A						(		self      ,						__lowerCAmelCase      ,						__lowerCAmelCase      ,						__lowerCAmelCase      ):
					if input_length > 0.9 * max_length:
							logger.warning(
							    F'Your input_length: {input_length} is bigger than 0.9 * max_length: {max_length}. You might consider '
							    'increasing your max_length manually, e.g. translator(\'...\', max_length=400)'      )
					return True





			def 						__A						(		self      ,						*__lowerCAmelCase      ,						__lowerCAmelCase=TruncationStrategy.DO_NOT_TRUNCATE      ,						__lowerCAmelCase=None      ,						__lowerCAmelCase=None      ):
					if getattr(self.tokenizer      ,						'_build_translation_inputs'      ,						_lowercase      ):
							return self.tokenizer._build_translation_inputs(
							    *_lowercase      ,						return_tensors=self.framework      ,						truncation=_lowercase      ,						src_lang=_lowercase      ,						tgt_lang=_lowercase      )
					else:
							return super()._parse_and_tokenize(*_lowercase      ,						truncation=_lowercase      )





			def 						__A						(		self      ,						__lowerCAmelCase=None      ,						__lowerCAmelCase=None      ,						**__lowerCAmelCase      ):
					SCREAMING_SNAKE_CASE_  ,      SCREAMING_SNAKE_CASE_  ,      SCREAMING_SNAKE_CASE_					:	Tuple		  =			super()._sanitize_parameters(**_lowercase      )
					if src_lang is not None:
							SCREAMING_SNAKE_CASE_					:	Optional[int]		  =			src_lang
					if tgt_lang is not None:
							SCREAMING_SNAKE_CASE_					:	List[str]		  =			tgt_lang
					if src_lang is None and tgt_lang is None:
							# Backward compatibility, direct arguments use is preferred.
							SCREAMING_SNAKE_CASE_					:	Dict		  =			kwargs.get('task'      ,						self.task      )
							SCREAMING_SNAKE_CASE_					:	Optional[int]		  =			task.split('_'      )
							if task and len(_lowercase      ) == 4:
									# translation, XX, to YY
									SCREAMING_SNAKE_CASE_					:	Union[str, Any]		  =			items[1]
									SCREAMING_SNAKE_CASE_					:	Union[str, Any]		  =			items[3]
					return preprocess_params, forward_params, postprocess_params






			def __call__(		self      ,						*__lowerCAmelCase      ,						**__lowerCAmelCase      ):
					return super().__call__(*_lowercase      ,						**_lowercase      )









from typing import Any






class 						__magic_name__					:






     def __init__(				self		,						_lowercase	)->     List[str]:
         UpperCamelCase_			  =						data
         UpperCamelCase_			  =						None






     def __repr__(				self	)->     str:
         return F"Node({self.data})"






class 						__magic_name__					:






     def __init__(				self	)->     Optional[Any]:
         UpperCamelCase_			  =						None






     def __iter__(				self	)->     Any:
         UpperCamelCase_			  =						self.head
         while node:
             yield node.data
             UpperCamelCase_			  =						node.next






     def __len__(				self	)->     int:
         return sum(1 for _ in self	)






     def __repr__(				self	)->     str:
         return "->".join([str(_lowercase	) for item in self]	)






     def __getitem__(				self		,						_lowercase	)->     Any:
         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		,						_lowercase		,						_lowercase	)->     None:
         if not 0 <= index < len(self	):
             raise ValueError("list index out of range."	)
         UpperCamelCase_			  =						self.head
         for _ in range(_lowercase	):
             UpperCamelCase_			  =						current.next
         UpperCamelCase_			  =						data






     def 	UpperCAmelCase_				(				self		,						_lowercase	)->     None:
         self.insert_nth(len(self	)		,						_lowercase	)






     def 	UpperCAmelCase_				(				self		,						_lowercase	)->     None:
         self.insert_nth(0		,						_lowercase	)






     def 	UpperCAmelCase_				(				self		,						_lowercase		,						_lowercase	)->     None:
         if not 0 <= index <= len(self	):
             raise IndexError("list index out of range"	)
         UpperCamelCase_			  =						Node(_lowercase	)
         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 	UpperCAmelCase_				(				self	)->     None:  # print every node data
         print(self	)






     def 	UpperCAmelCase_				(				self	)->     Any:
         return self.delete_nth(0	)






     def 	UpperCAmelCase_				(				self	)->     Any:  # delete from tail
         return self.delete_nth(len(self	) - 1	)






     def 	UpperCAmelCase_				(				self		,						_lowercase = 0	)->     Any:
         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 	UpperCAmelCase_				(				self	)->     bool:
         return self.head is None






     def 	UpperCAmelCase_				(				self	)->     None:
         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 			lowerCAmelCase(      )->						None:



    """simple docstring"""






    UpperCamelCase_			  =						LinkedList()
    assert linked_list.is_empty() is True
    assert str(SCREAMING_SNAKE_CASE_			) == ""

    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(1_0			):
        assert len(SCREAMING_SNAKE_CASE_			) == i
        linked_list.insert_nth(SCREAMING_SNAKE_CASE_			,						i + 1			)
    assert str(SCREAMING_SNAKE_CASE_			) == "->".join(str(SCREAMING_SNAKE_CASE_			) for i in range(1			,						1_1			)			)

    linked_list.insert_head(0			)
    linked_list.insert_tail(1_1			)
    assert str(SCREAMING_SNAKE_CASE_			) == "->".join(str(SCREAMING_SNAKE_CASE_			) for i in range(0			,						1_2			)			)

    assert linked_list.delete_head() == 0
    assert linked_list.delete_nth(9			) == 1_0
    assert linked_list.delete_tail() == 1_1
    assert len(SCREAMING_SNAKE_CASE_			) == 9
    assert str(SCREAMING_SNAKE_CASE_			) == "->".join(str(SCREAMING_SNAKE_CASE_			) for i in range(1			,						1_0			)			)

    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(SCREAMING_SNAKE_CASE_			) == "->".join(str(SCREAMING_SNAKE_CASE_			) for i in range(-8			,						1			)			)




def 			lowerCAmelCase(      )->						None:



    """simple docstring"""






    UpperCamelCase_			  =						[
        -9,
        1_0_0,
        Node(7_7_3_4_5_1_1_2			),
        "dlrow olleH",
        7,
        5_5_5_5,
        0,
        -192.5_5555,
        "Hello, world!",
        77.9,
        Node(1_0			),
        None,
        None,
        12.20,
    ]
    UpperCamelCase_			  =						LinkedList()

    for i in test_input:
        linked_list.insert_tail(SCREAMING_SNAKE_CASE_			)

    # Check if it's empty or not
    assert linked_list.is_empty() is False
    assert (
        str(SCREAMING_SNAKE_CASE_			) == "-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(SCREAMING_SNAKE_CASE_			) == "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(SCREAMING_SNAKE_CASE_			) == "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(1_0			)
    assert result is None
    assert (
        str(SCREAMING_SNAKE_CASE_			) == "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(SCREAMING_SNAKE_CASE_			)
        == "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(SCREAMING_SNAKE_CASE_			)
    assert (
        str(SCREAMING_SNAKE_CASE_			)
        == "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(SCREAMING_SNAKE_CASE_			)
        == "None->None->Node(10)->77.9->Hello, world!->-192.55555->0->5555->"
        "7->dlrow olleH->Node(77345112)->100->Node(Hello again, world!)"
    )




def 			lowerCAmelCase(      )->						List[Any]:



    """simple docstring"""






    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(SCREAMING_SNAKE_CASE_			)
    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(SCREAMING_SNAKE_CASE_			)
    print(f"length of linked_list is : {len(SCREAMING_SNAKE_CASE_			)}"			)


if __name__ == "__main__":
 main()
