
from __future__ import annotations

from collections.abc import Callable
from typing import Generic, TypeVar

lowerCamelCase__          =		TypeVar("""T""")
lowerCamelCase__          =		TypeVar("""U""")







class      A__							(     Generic[T, U]	):






				def __init__(						self					:      int    ,     a					:      T | None    ,     a					:      U | None   ):






							'''simple docstring'''







							lowerCAmelCase__      :      List[Any]         =		key
							lowerCAmelCase__      :      List[Any]         =		val
							lowerCAmelCase__      :      DoubleLinkedListNode[T, U] | None         =		None
							lowerCAmelCase__      :      DoubleLinkedListNode[T, U] | None         =		None






				def __repr__(						self					:      Dict   ):






							'''simple docstring'''







							return (
							    f'''Node: key: {self.key}, val: {self.val}, '''
							    f'''has next: {bool(self.next   )}, has prev: {bool(self.prev   )}'''
							)







class      A__							(     Generic[T, U]	):






				def __init__(						self					:      Dict   ):






							'''simple docstring'''







							lowerCAmelCase__      :      DoubleLinkedListNode[T, U]         =		DoubleLinkedListNode(a    ,     a   )
							lowerCAmelCase__      :      DoubleLinkedListNode[T, U]         =		DoubleLinkedListNode(a    ,     a   )
							lowerCAmelCase__      ,				lowerCAmelCase__      :      str         =		self.rear, self.head






				def __repr__(						self					:      Optional[Any]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      List[Any]         =		['DoubleLinkedList']
							lowerCAmelCase__      :      List[Any]         =		self.head
							while node.next is not None:
										rep.append(str(a   )   )
										lowerCAmelCase__      :      List[Any]         =		node.next
							rep.append(str(self.rear   )   )
							return ",\n    ".join(a   )






				def 							_lowerCamelCase		(						self					:      Optional[Any]    ,     a					:      DoubleLinkedListNode[T, U]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      List[str]         =		self.rear.prev

							# All nodes other than self.head are guaranteed to have non-None previous
							assert previous is not None

							lowerCAmelCase__      :      Dict         =		node
							lowerCAmelCase__      :      List[str]         =		previous
							lowerCAmelCase__      :      List[Any]         =		node
							lowerCAmelCase__      :      Optional[Any]         =		self.rear






				def 							_lowerCamelCase		(						self					:      Any    ,     a					:      DoubleLinkedListNode[T, U]   ):






							'''simple docstring'''







							if node.prev is None or node.next is None:
										return None

							lowerCAmelCase__      :      str         =		node.next
							lowerCAmelCase__      :      Any         =		node.prev
							lowerCAmelCase__      :      str         =		None
							lowerCAmelCase__      :      Any         =		None
							return node







class      A__							(     Generic[T, U]	):
				lowercase			    =  {}






				def __init__(						self					:      Tuple    ,     a					:      int   ):






							'''simple docstring'''







							lowerCAmelCase__      :      DoubleLinkedList[T, U]         =		DoubleLinkedList()
							lowerCAmelCase__      :      Union[str, Any]         =		capacity
							lowerCAmelCase__      :      int         =		0
							lowerCAmelCase__      :      Any         =		0
							lowerCAmelCase__      :      List[Any]         =		0
							lowerCAmelCase__      :      dict[T, DoubleLinkedListNode[T, U]]         =		{}






				def __repr__(						self					:      List[str]   ):






							'''simple docstring'''







							return (
							    f'''CacheInfo(hits={self.hits}, misses={self.miss}, '''
							    f'''capacity={self.capacity}, current size={self.num_keys})'''
							)






				def __contains__(						self					:      Optional[int]    ,     a					:      T   ):






							'''simple docstring'''







							return key in self.cache






				def 							_lowerCamelCase		(						self					:      Dict    ,     a					:      T   ):






							'''simple docstring'''







							if key in self.cache:
										self.hits += 1
										lowerCAmelCase__      :      DoubleLinkedListNode[T, U]         =		self.cache[key]
										lowerCAmelCase__      :      str         =		self.list.remove(self.cache[key]   )
										assert node == value_node

										# node is guaranteed not None because it is in self.cache
										assert node is not None
										self.list.add(a   )
										return node.val
							self.miss += 1
							return None






				def 							_lowerCamelCase		(						self					:      Dict    ,     a					:      T    ,     a					:      U   ):






							'''simple docstring'''







							if key not in self.cache:
										if self.num_keys >= self.capacity:
													# delete first node (oldest) when over capacity
													lowerCAmelCase__      :      Dict         =		self.list.head.next

													# guaranteed to have a non-None first node when num_keys > 0
													# explain to type checker via assertions
													assert first_node is not None
													assert first_node.key is not None
													assert (
													    self.list.remove(a   ) is not None
													)  # node guaranteed to be in list assert node.key is not None

													del self.cache[first_node.key]
													self.num_keys -= 1
										lowerCAmelCase__      :      Optional[int]         =		DoubleLinkedListNode(a    ,     a   )
										self.list.add(self.cache[key]   )
										self.num_keys += 1

							else:
										# bump node to the end of the list, update value
										lowerCAmelCase__      :      Any         =		self.list.remove(self.cache[key]   )
										assert node is not None  # node guaranteed to be in list
										lowerCAmelCase__      :      int         =		value
										self.list.add(a   )






				@classmethod
				def 							_lowerCamelCase		(						cls					:      Optional[int]    ,     a					:      int = 128   ):






							'''simple docstring'''







							def cache_decorator_inner(a					:      Callable[[T], U]   ) -> Callable[..., U]:
										def cache_decorator_wrapper(*a					:      T   ) -> U:
													if func not in cls.decorator_function_to_instance_map:
																lowerCAmelCase__      :      List[str]         =		LRUCache(a   )

													lowerCAmelCase__      :      Tuple         =		cls.decorator_function_to_instance_map[func].get(args[0]   )
													if result is None:
																lowerCAmelCase__      :      Any         =		func(*a   )
																cls.decorator_function_to_instance_map[func].put(args[0]    ,     a   )
													return result

										def cache_info() -> LRUCache[T, U]:
													return cls.decorator_function_to_instance_map[func]

										setattr(a    ,     'cache_info'    ,     a   )  # noqa: B010

										return cache_decorator_wrapper

							return cache_decorator_inner


if __name__ == "__main__":
					import doctest

					doctest.testmod()

import json
import os
import unittest

from transformers import BatchEncoding, MvpTokenizer, MvpTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin, filter_roberta_detectors







@require_tokenizers
class      A__							(     __magic_name__						,   unittest.TestCase	):
				lowercase			    =  MvpTokenizer
				lowercase			    =  MvpTokenizerFast
				lowercase			    =  True
				lowercase			    =  filter_roberta_detectors






				def 							_lowerCamelCase		(						self					:      int   ):






							'''simple docstring'''







							super().setUp()
							lowerCAmelCase__      :      Dict         =		[
							    'l',
							    'o',
							    'w',
							    'e',
							    'r',
							    's',
							    't',
							    'i',
							    'd',
							    'n',
							    '\u0120',
							    '\u0120l',
							    '\u0120n',
							    '\u0120lo',
							    '\u0120low',
							    'er',
							    '\u0120lowest',
							    '\u0120newer',
							    '\u0120wider',
							    '<unk>',
							]
							lowerCAmelCase__      :      Any         =		dict(zip(a    ,     range(len(a   )   )   )   )
							lowerCAmelCase__      :      Union[str, Any]         =		['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
							lowerCAmelCase__      :      Any         =		{'unk_token': '<unk>'}

							lowerCAmelCase__      :      int         =		os.path.join(self.tmpdirname    ,     VOCAB_FILES_NAMES['vocab_file']   )
							lowerCAmelCase__      :      Optional[int]         =		os.path.join(self.tmpdirname    ,     VOCAB_FILES_NAMES['merges_file']   )
							with open(self.vocab_file    ,     'w'    ,     encoding='utf-8'   ) as fp:
										fp.write(json.dumps(a   ) + '\n'   )
							with open(self.merges_file    ,     'w'    ,     encoding='utf-8'   ) as fp:
										fp.write('\n'.join(a   )   )






				def 							_lowerCamelCase		(						self					:      str    ,     **a					:      Tuple   ):






							'''simple docstring'''







							kwargs.update(self.special_tokens_map   )
							return self.tokenizer_class.from_pretrained(self.tmpdirname    ,     **a   )






				def 							_lowerCamelCase		(						self					:      Dict    ,     **a					:      Optional[int]   ):






							'''simple docstring'''







							kwargs.update(self.special_tokens_map   )
							return self.rust_tokenizer_class.from_pretrained(self.tmpdirname    ,     **a   )






				def 							_lowerCamelCase		(						self					:      Tuple    ,     a					:      Dict   ):






							'''simple docstring'''







							return "lower newer", "lower newer"






				@cached_property
				def 							_lowerCamelCase		(						self					:      List[str]   ):






							'''simple docstring'''







							return MvpTokenizer.from_pretrained('RUCAIBox/mvp'   )






				@cached_property
				def 							_lowerCamelCase		(						self					:      Dict   ):






							'''simple docstring'''







							return MvpTokenizerFast.from_pretrained('RUCAIBox/mvp'   )






				@require_torch
				def 							_lowerCamelCase		(						self					:      Optional[int]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      List[Any]         =		['A long paragraph for summarization.', 'Another paragraph for summarization.']
							lowerCAmelCase__      :      List[Any]         =		[0, 250, 251, 17_818, 13, 39_186, 1_938, 4, 2]

							for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
										lowerCAmelCase__      :      int         =		tokenizer(a    ,     max_length=len(a   )    ,     padding=a    ,     return_tensors='pt'   )
										self.assertIsInstance(a    ,     a   )

										self.assertEqual((2, 9)    ,     batch.input_ids.shape   )
										self.assertEqual((2, 9)    ,     batch.attention_mask.shape   )
										lowerCAmelCase__      :      List[Any]         =		batch.input_ids.tolist()[0]
										self.assertListEqual(a    ,     a   )
										# Test that special tokens are reset






				@require_torch
				def 							_lowerCamelCase		(						self					:      str   ):






							'''simple docstring'''







							lowerCAmelCase__      :      List[Any]         =		['A long paragraph for summarization.', 'Another paragraph for summarization.']
							for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
										lowerCAmelCase__      :      Any         =		tokenizer(a    ,     padding=a    ,     return_tensors='pt'   )
										# check if input_ids are returned and no labels
										self.assertIn('input_ids'    ,     a   )
										self.assertIn('attention_mask'    ,     a   )
										self.assertNotIn('labels'    ,     a   )
										self.assertNotIn('decoder_attention_mask'    ,     a   )






				@require_torch
				def 							_lowerCamelCase		(						self					:      Optional[int]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Union[str, Any]         =		[
							    'Summary of the text.',
							    'Another summary.',
							]
							for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
										lowerCAmelCase__      :      Tuple         =		tokenizer(text_target=a    ,     max_length=32    ,     padding='max_length'    ,     return_tensors='pt'   )
										self.assertEqual(32    ,     targets['input_ids'].shape[1]   )






				@require_torch
				def 							_lowerCamelCase		(						self					:      Optional[int]   ):






							'''simple docstring'''







							for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
										lowerCAmelCase__      :      str         =		tokenizer(
										    ['I am a small frog' * 1_024, 'I am a small frog']    ,     padding=a    ,     truncation=a    ,     return_tensors='pt'   )
										self.assertIsInstance(a    ,     a   )
										self.assertEqual(batch.input_ids.shape    ,     (2, 1_024)   )






				@require_torch
				def 							_lowerCamelCase		(						self					:      Any   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Union[str, Any]         =		['A long paragraph for summarization.']
							lowerCAmelCase__      :      Any         =		[
							    'Summary of the text.',
							]
							for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
										lowerCAmelCase__      :      List[Any]         =		tokenizer(a    ,     text_target=a    ,     return_tensors='pt'   )
										lowerCAmelCase__      :      Optional[int]         =		inputs['input_ids']
										lowerCAmelCase__      :      str         =		inputs['labels']
										self.assertTrue((input_ids[:, 0] == tokenizer.bos_token_id).all().item()   )
										self.assertTrue((labels[:, 0] == tokenizer.bos_token_id).all().item()   )
										self.assertTrue((input_ids[:, -1] == tokenizer.eos_token_id).all().item()   )
										self.assertTrue((labels[:, -1] == tokenizer.eos_token_id).all().item()   )






				def 							_lowerCamelCase		(						self					:      Any   ):






							'''simple docstring'''







							pass






				def 							_lowerCamelCase		(						self					:      Tuple   ):






							'''simple docstring'''







							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
										with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''   ):
													lowerCAmelCase__      :      str         =		self.rust_tokenizer_class.from_pretrained(a    ,     **a   )
													lowerCAmelCase__      :      List[str]         =		self.tokenizer_class.from_pretrained(a    ,     **a   )
													lowerCAmelCase__      :      Optional[int]         =		'A, <mask> AllenNLP sentence.'
													lowerCAmelCase__      :      int         =		tokenizer_r.encode_plus(a    ,     add_special_tokens=a    ,     return_token_type_ids=a   )
													lowerCAmelCase__      :      Optional[int]         =		tokenizer_p.encode_plus(a    ,     add_special_tokens=a    ,     return_token_type_ids=a   )

													# token_type_ids should put 0 everywhere
													self.assertEqual(sum(tokens_r['token_type_ids']   )    ,     sum(tokens_p['token_type_ids']   )   )

													# attention_mask should put 1 everywhere, so sum over length should be 1
													self.assertEqual(
													    sum(tokens_r['attention_mask']   ) / len(tokens_r['attention_mask']   )    ,     sum(tokens_p['attention_mask']   ) / len(tokens_p['attention_mask']   )    ,     )

													lowerCAmelCase__      :      List[Any]         =		tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']   )
													lowerCAmelCase__      :      Dict         =		tokenizer_p.convert_ids_to_tokens(tokens_p['input_ids']   )

													# Rust correctly handles the space before the mask while python doesnt
													self.assertSequenceEqual(tokens_p['input_ids']    ,     [0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]   )
													self.assertSequenceEqual(tokens_r['input_ids']    ,     [0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]   )

													self.assertSequenceEqual(
													    a    ,     ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']   )
													self.assertSequenceEqual(
													    a    ,     ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']   )