





from typing import Any




class      UpperCamelCase_						:




					def __init__(						self			,  lowerCAmelCase_					)						->							Optional[int]:
										_snake_case													=			data
										_snake_case													=			None






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





class      UpperCamelCase_						:




					def __init__(						self					)						->							Union[str, Any]:
										_snake_case													=			None




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




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




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




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




					def 		lowerCAmelCase     (						self			,  lowerCAmelCase_					)						->							None:
										self.insert_nth(len(self					)			,  lowerCAmelCase_					)




					def 		lowerCAmelCase     (						self			,  lowerCAmelCase_					)						->							None:
										self.insert_nth(0			,  lowerCAmelCase_					)




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




					def 		lowerCAmelCase     (						self					)						->							None:  # print every node data
										print(self					)




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




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




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




					def 		lowerCAmelCase     (						self					)						->							bool:
										return self.head is None






					def 		lowerCAmelCase     (						self					)						->							None:
										_snake_case													=			None
										_snake_case													=			self.head

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





def   lowerCamelCase__       (       )     ->	None:



					'''simple docstring'''




					_snake_case													=			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  ):
										_snake_case													=			-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   lowerCamelCase__       (       )     ->	None:



					'''simple docstring'''




					_snake_case													=			[
					    -9,
					    100,
					    Node(77_345_112  ),
					    'dlrow olleH',
					    7,
					    5_555,
					    0,
					    -192.5_5555,
					    'Hello, world!',
					    77.9,
					    Node(10  ),
					    None,
					    None,
					    12.20,
					]
					_snake_case													=			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
					_snake_case													=			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
					_snake_case													=			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
					_snake_case													=			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   lowerCamelCase__       (       )     ->	List[Any]:



					'''simple docstring'''




					from doctest import testmod

					testmod()

					_snake_case													=			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]}'''  )
					_snake_case													=			input('Enter New Value: '  ).strip()
					print('New list:'  )
					print(UpperCamelCase__  )
					print(F'''length of linked_list is : {len(UpperCamelCase__  )}'''  )


if __name__ == "__main__":
					main()










import enum
import warnings

from .. import MODEL_FOR_CAUSAL_LM_MAPPING, TF_MODEL_FOR_CAUSAL_LM_MAPPING
from ..utils import add_end_docstrings, is_tf_available
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_tf_available():
					import tensorflow as tf
class      UpperCamelCase_						(					enum.Enum   ):
					lowerCAmelCase_							=		0
					lowerCAmelCase_							=		1
					lowerCAmelCase_							=		2





@add_end_docstrings(_lowerCamelCase   )
class      UpperCamelCase_						(					_lowerCamelCase   ):
					lowerCAmelCase_							=		'''
    In 1991, the remains of Russian Tsar Nicholas II and his family (except for Alexei and Maria) are discovered. The
    voice of Nicholas\'s young son, Tsarevich Alexei Nikolaevich, narrates the remainder of the story. 1883 Western
    Siberia, a young Grigori Rasputin is asked by his father and a group of men to perform magic. Rasputin has a vision
    and denounces one of the men as a horse thief. Although his father initially slaps him for making such an
    accusation, Rasputin watches as the man is chased outside and beaten. Twenty years later, Rasputin sees a vision of
    the Virgin Mary, prompting him to become a priest. Rasputin quickly becomes famous, with people, even a bishop,
    begging for his blessing. <eod> </s> <eos>
    '''




					def __init__(						self			,  *lowerCAmelCase_			,  **lowerCAmelCase_					)						->							Any:
										super().__init__(*lowerCAmelCase_			,  **lowerCAmelCase_					)
										self.check_model_type(
										    TF_MODEL_FOR_CAUSAL_LM_MAPPING if self.framework == 'tf' else MODEL_FOR_CAUSAL_LM_MAPPING					)
										if "prefix" not in self._preprocess_params:
															# This is very specific. The logic is quite complex and needs to be done
															# as a "default".
															# It also defines both some preprocess_kwargs and generate_kwargs
															# which is why we cannot put them in their respective methods.
															_snake_case													=			None
															if self.model.config.prefix is not None:
																				_snake_case													=			self.model.config.prefix
															if prefix is None and self.model.__class__.__name__ in [
															    "XLNetLMHeadModel",
															    "TransfoXLLMHeadModel",
															    "TFXLNetLMHeadModel",
															    "TFTransfoXLLMHeadModel",
															]:
																				# For XLNet and TransformerXL we add an article to the prompt to give more state to the model.
																				_snake_case													=			self.XL_PREFIX
															if prefix is not None:
																				# Recalculate some generate_kwargs linked to prefix.
																				_snake_case							,       _snake_case							,       _snake_case													=			self._sanitize_parameters(prefix=lowerCAmelCase_			,  **self._forward_params					)
																				_snake_case													=			{**self._preprocess_params, **preprocess_params}
																				_snake_case													=			{**self._forward_params, **forward_params}




					def 		lowerCAmelCase     (						self			,  lowerCAmelCase_=None			,  lowerCAmelCase_=None			,  lowerCAmelCase_=None			,  lowerCAmelCase_=None			,  lowerCAmelCase_=None			,  lowerCAmelCase_=None			,  lowerCAmelCase_=None			,  lowerCAmelCase_=None			,  **lowerCAmelCase_			,  )						->							Tuple:
										_snake_case													=			{}
										if prefix is not None:
															_snake_case													=			prefix
										if prefix:
															_snake_case													=			self.tokenizer(
															    lowerCAmelCase_			,  padding=lowerCAmelCase_			,  add_special_tokens=lowerCAmelCase_			,  return_tensors=self.framework					)
															_snake_case													=			prefix_inputs['input_ids'].shape[-1]

										if handle_long_generation is not None:
															if handle_long_generation not in {"hole"}:
																				raise ValueError(
																				    F'''{handle_long_generation} is not a valid value for `handle_long_generation` parameter expected'''
																				    ' [None, \'hole\']'					)
															_snake_case													=			handle_long_generation

										preprocess_params.update(lowerCAmelCase_					)
										_snake_case													=			generate_kwargs

										_snake_case													=			{}
										if return_full_text is not None and return_type is None:
															if return_text is not None:
																				raise ValueError('`return_text` is mutually exclusive with `return_full_text`'					)
															if return_tensors is not None:
																				raise ValueError('`return_full_text` is mutually exclusive with `return_tensors`'					)
															_snake_case													=			ReturnType.FULL_TEXT if return_full_text else ReturnType.NEW_TEXT
										if return_tensors is not None and return_type is None:
															if return_text is not None:
																				raise ValueError('`return_text` is mutually exclusive with `return_tensors`'					)
															_snake_case													=			ReturnType.TENSORS
										if return_type is not None:
															_snake_case													=			return_type
										if clean_up_tokenization_spaces is not None:
															_snake_case													=			clean_up_tokenization_spaces

										if stop_sequence is not None:
															_snake_case													=			self.tokenizer.encode(lowerCAmelCase_			,  add_special_tokens=lowerCAmelCase_					)
															if len(lowerCAmelCase_					) > 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.'					)
															_snake_case													=			stop_sequence_ids[0]

										return preprocess_params, forward_params, postprocess_params




					def 		lowerCAmelCase     (						self			,  *lowerCAmelCase_			,  **lowerCAmelCase_					)						->							List[str]:
										# Parse arguments
										if self.model.__class__.__name__ in ["TransfoXLLMHeadModel"]:
															kwargs.update({'add_space_before_punct_symbol': True}					)

										return super()._parse_and_tokenize(*lowerCAmelCase_			,  **lowerCAmelCase_					)




					def __call__(						self			,  lowerCAmelCase_			,  **lowerCAmelCase_					)						->							List[Any]:
										return super().__call__(lowerCAmelCase_			,  **lowerCAmelCase_					)




					def 		lowerCAmelCase     (						self			,  lowerCAmelCase_			,  lowerCAmelCase_=""			,  lowerCAmelCase_=None			,  **lowerCAmelCase_					)						->							Any:
										_snake_case													=			self.tokenizer(
										    prefix + prompt_text			,  padding=lowerCAmelCase_			,  add_special_tokens=lowerCAmelCase_			,  return_tensors=self.framework					)
										_snake_case													=			prompt_text

										if handle_long_generation == "hole":
															_snake_case													=			inputs['input_ids'].shape[-1]
															if "max_new_tokens" in generate_kwargs:
																				_snake_case													=			generate_kwargs['max_new_tokens']
															else:
																				_snake_case													=			generate_kwargs.get('max_length'			,  self.model.config.max_length					) - cur_len
																				if new_tokens < 0:
																									raise ValueError('We cannot infer how many new tokens are expected'					)
															if cur_len + new_tokens > self.tokenizer.model_max_length:
																				_snake_case													=			self.tokenizer.model_max_length - new_tokens
																				if keep_length <= 0:
																									raise ValueError(
																									    'We cannot use `hole` to handle this generation the number of desired tokens exceeds the'
																									    ' models max length'					)

																				_snake_case													=			inputs['input_ids'][:, -keep_length:]
																				if "attention_mask" in inputs:
																									_snake_case													=			inputs['attention_mask'][:, -keep_length:]

										return inputs




					def 		lowerCAmelCase     (						self			,  lowerCAmelCase_			,  **lowerCAmelCase_					)						->							Optional[Any]:
										_snake_case													=			model_inputs['input_ids']
										_snake_case													=			model_inputs.get('attention_mask'			,  lowerCAmelCase_					)
										# Allow empty prompts
										if input_ids.shape[1] == 0:
															_snake_case													=			None
															_snake_case													=			None
															_snake_case													=			1
										else:
															_snake_case													=			input_ids.shape[0]
										_snake_case													=			model_inputs.pop('prompt_text'					)

										# If there is a prefix, we may need to adjust the generation length. Do so without permanently modifying
										# generate_kwargs, as some of the parameterization may come from the initialization of the pipeline.
										_snake_case													=			generate_kwargs.pop('prefix_length'			,  0					)
										if prefix_length > 0:
															_snake_case													=			'max_new_tokens' in generate_kwargs or (
															    'generation_config' in generate_kwargs
															    and generate_kwargs['generation_config'].max_new_tokens is not None
															)
															if not has_max_new_tokens:
																				_snake_case													=			generate_kwargs.get('max_length'					) or self.model.config.max_length
																				generate_kwargs["max_length"] += prefix_length
															_snake_case													=			'min_new_tokens' in generate_kwargs or (
															    'generation_config' in generate_kwargs
															    and generate_kwargs['generation_config'].min_new_tokens is not None
															)
															if not has_min_new_tokens and "min_length" in generate_kwargs:
																				generate_kwargs["min_length"] += prefix_length

        # BS x SL
										_snake_case													=			self.model.generate(input_ids=lowerCAmelCase_			,  attention_mask=lowerCAmelCase_			,  **lowerCAmelCase_					)
										_snake_case													=			generated_sequence.shape[0]
										if self.framework == "pt":
															_snake_case													=			generated_sequence.reshape(lowerCAmelCase_			,  out_b // in_b			,  *generated_sequence.shape[1:]					)
										elif self.framework == "tf":
															_snake_case													=			tf.reshape(lowerCAmelCase_			,  (in_b, out_b // in_b, *generated_sequence.shape[1:])					)
										return {"generated_sequence": generated_sequence, "input_ids": input_ids, "prompt_text": prompt_text}






					def 		lowerCAmelCase     (						self			,  lowerCAmelCase_			,  lowerCAmelCase_=ReturnType.FULL_TEXT			,  lowerCAmelCase_=True					)						->							int:
										_snake_case													=			model_outputs['generated_sequence'][0]
										_snake_case													=			model_outputs['input_ids']
										_snake_case													=			model_outputs['prompt_text']
										_snake_case													=			generated_sequence.numpy().tolist()
										_snake_case													=			[]
										for sequence in generated_sequence:
															if return_type == ReturnType.TENSORS:
																				_snake_case													=			{'generated_token_ids': sequence}
															elif return_type in {ReturnType.NEW_TEXT, ReturnType.FULL_TEXT}:
																				# Decode text
																				_snake_case													=			self.tokenizer.decode(
																				    lowerCAmelCase_			,  skip_special_tokens=lowerCAmelCase_			,  clean_up_tokenization_spaces=lowerCAmelCase_			,  )

																				# Remove PADDING prompt of the sequence if XLNet or Transfo-XL model is used
																				if input_ids is None:
																									_snake_case													=			0
																				else:
																									_snake_case													=			len(
																									    self.tokenizer.decode(
																									        input_ids[0]			,  skip_special_tokens=lowerCAmelCase_			,  clean_up_tokenization_spaces=lowerCAmelCase_			,  )					)

																				if return_type == ReturnType.FULL_TEXT:
																									_snake_case													=			prompt_text + text[prompt_length:]
																				else:
																									_snake_case													=			text[prompt_length:]

																				_snake_case													=			{'generated_text': all_text}
															records.append(lowerCAmelCase_					)

										return records



