


'''simple docstring'''






import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 						a__							(				a__							,							unittest.TestCase    ):





							'''simple docstring'''






							lowercase__     :  str      		= LongformerTokenizer
							lowercase__     :  Optional[Any]      		= True
							lowercase__     :  Optional[int]      		= LongformerTokenizerFast
							lowercase__     :  Tuple      		= True







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				str:
														super().setUp()

														# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
														lowerCAmelCase__			  =      [
														    '''l''',
														    '''o''',
														    '''w''',
														    '''e''',
														    '''r''',
														    '''s''',
														    '''t''',
														    '''i''',
														    '''d''',
														    '''n''',
														    '''\u0120''',
														    '''\u0120l''',
														    '''\u0120n''',
														    '''\u0120lo''',
														    '''\u0120low''',
														    '''er''',
														    '''\u0120lowest''',
														    '''\u0120newer''',
														    '''\u0120wider''',
														    '''<unk>''',
														]
														lowerCAmelCase__			  =      dict(zip(lowerCamelCase_   ,       range(len(lowerCamelCase_  )  )  )  )
														lowerCAmelCase__			  =      ['''#version: 0.2''', '''\u0120 l''', '''\u0120l o''', '''\u0120lo w''', '''e r''', '''''']
														lowerCAmelCase__			  =      {'''unk_token''': '''<unk>'''}

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







							def     __SCREAMING_SNAKE_CASE				(						self   ,       **lowerCamelCase_  )			->				Optional[Any]:
														kwargs.update(self.special_tokens_map  )
														return self.tokenizer_class.from_pretrained(self.tmpdirname   ,       **lowerCamelCase_  )







							def     __SCREAMING_SNAKE_CASE				(						self   ,       **lowerCamelCase_  )			->				Optional[Any]:
														kwargs.update(self.special_tokens_map  )
														return self.rust_tokenizer_class.from_pretrained(self.tmpdirname   ,       **lowerCamelCase_  )







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_  )			->				int:
														lowerCAmelCase__			  =      '''lower newer'''
														lowerCAmelCase__			  =      '''lower newer'''
														return input_text, output_text







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				str:
														lowerCAmelCase__			  =      self.tokenizer_class(self.vocab_file   ,       self.merges_file   ,       **self.special_tokens_map  )
														lowerCAmelCase__			  =      '''lower newer'''
														lowerCAmelCase__			  =      ['''l''', '''o''', '''w''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
														lowerCAmelCase__			  =      tokenizer.tokenize(lowerCamelCase_  )  # , add_prefix_space=True)
														self.assertListEqual(lowerCamelCase_   ,       lowerCamelCase_  )

														lowerCAmelCase__			  =      tokens + [tokenizer.unk_token]
														lowerCAmelCase__			  =      [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
														self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase_  )   ,       lowerCamelCase_  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				Union[str, Any]:
														lowerCAmelCase__			  =      self.get_tokenizer()

														self.assertListEqual(tokenizer.encode('''Hello world!'''   ,       add_special_tokens=lowerCamelCase_  )   ,       [0, 3_14_14, 2_32, 3_28, 2]  )
														self.assertListEqual(
														    tokenizer.encode('''Hello world! cécé herlolip 418'''   ,       add_special_tokens=lowerCamelCase_  )   ,       [0, 3_14_14, 2_32, 3_28, 7_40, 11_40, 1_26_95, 69, 4_60_78, 15_88, 2]   ,       )







							@slow
							def     __SCREAMING_SNAKE_CASE				(						self  )			->				str:
														lowerCAmelCase__			  =      self.tokenizer_class.from_pretrained('''allenai/longformer-base-4096'''  )

														lowerCAmelCase__			  =      tokenizer.encode('''sequence builders'''   ,       add_special_tokens=lowerCamelCase_  )
														lowerCAmelCase__			  =      tokenizer.encode('''multi-sequence build'''   ,       add_special_tokens=lowerCamelCase_  )

														lowerCAmelCase__			  =      tokenizer.encode(
														    '''sequence builders'''   ,       add_special_tokens=lowerCamelCase_   ,       add_prefix_space=lowerCamelCase_  )
														lowerCAmelCase__			  =      tokenizer.encode(
														    '''sequence builders'''   ,       '''multi-sequence build'''   ,       add_special_tokens=lowerCamelCase_   ,       add_prefix_space=lowerCamelCase_  )

														lowerCAmelCase__			  =      tokenizer.build_inputs_with_special_tokens(lowerCamelCase_  )
														lowerCAmelCase__			  =      tokenizer.build_inputs_with_special_tokens(lowerCamelCase_   ,       lowerCamelCase_  )

														assert encoded_sentence == encoded_text_from_decode
														assert encoded_pair == encoded_pair_from_decode







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				Optional[int]:
														lowerCAmelCase__			  =      self.get_tokenizer()

														lowerCAmelCase__			  =      '''Encode this sequence.'''
														lowerCAmelCase__			  =      tokenizer.byte_encoder[''' '''.encode('''utf-8'''  )[0]]

														# Testing encoder arguments
														lowerCAmelCase__			  =      tokenizer.encode(lowerCamelCase_   ,       add_special_tokens=lowerCamelCase_   ,       add_prefix_space=lowerCamelCase_  )
														lowerCAmelCase__			  =      tokenizer.convert_ids_to_tokens(encoded[0]  )[0]
														self.assertNotEqual(lowerCamelCase_   ,       lowerCamelCase_  )

														lowerCAmelCase__			  =      tokenizer.encode(lowerCamelCase_   ,       add_special_tokens=lowerCamelCase_   ,       add_prefix_space=lowerCamelCase_  )
														lowerCAmelCase__			  =      tokenizer.convert_ids_to_tokens(encoded[0]  )[0]
														self.assertEqual(lowerCamelCase_   ,       lowerCamelCase_  )

														tokenizer.add_special_tokens({'''bos_token''': '''<s>'''}  )
														lowerCAmelCase__			  =      tokenizer.encode(lowerCamelCase_   ,       add_special_tokens=lowerCamelCase_  )
														lowerCAmelCase__			  =      tokenizer.convert_ids_to_tokens(encoded[1]  )[0]
														self.assertNotEqual(lowerCamelCase_   ,       lowerCamelCase_  )

														# Testing spaces after special tokens
														lowerCAmelCase__			  =      '''<mask>'''
														tokenizer.add_special_tokens(
														    {'''mask_token''': AddedToken(lowerCamelCase_   ,       lstrip=lowerCamelCase_   ,       rstrip=lowerCamelCase_  )}  )  # mask token has a left space
														lowerCAmelCase__			  =      tokenizer.convert_tokens_to_ids(lowerCamelCase_  )

														lowerCAmelCase__			  =      '''Encode <mask> sequence'''
														lowerCAmelCase__			  =      '''Encode <mask>sequence'''

														lowerCAmelCase__			  =      tokenizer.encode(lowerCamelCase_  )
														lowerCAmelCase__			  =      encoded.index(lowerCamelCase_  )
														lowerCAmelCase__			  =      tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]  )[0]
														self.assertEqual(lowerCamelCase_   ,       lowerCamelCase_  )

														lowerCAmelCase__			  =      tokenizer.encode(lowerCamelCase_  )
														lowerCAmelCase__			  =      encoded.index(lowerCamelCase_  )
														lowerCAmelCase__			  =      tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]  )[0]
														self.assertNotEqual(lowerCamelCase_   ,       lowerCamelCase_  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				List[Any]:
														pass







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				Union[str, Any]:
														for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																					with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""  ):
																												lowerCAmelCase__			  =      self.rust_tokenizer_class.from_pretrained(lowerCamelCase_   ,       **lowerCamelCase_  )
																												lowerCAmelCase__			  =      self.tokenizer_class.from_pretrained(lowerCamelCase_   ,       **lowerCamelCase_  )
																												lowerCAmelCase__			  =      '''A, <mask> AllenNLP sentence.'''
																												lowerCAmelCase__			  =      tokenizer_r.encode_plus(lowerCamelCase_   ,       add_special_tokens=lowerCamelCase_   ,       return_token_type_ids=lowerCamelCase_  )
																												lowerCAmelCase__			  =      tokenizer_p.encode_plus(lowerCamelCase_   ,       add_special_tokens=lowerCamelCase_   ,       return_token_type_ids=lowerCamelCase_  )

																												# 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__			  =      tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids''']  )
																												lowerCAmelCase__			  =      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, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2]  )
																												self.assertSequenceEqual(tokens_r['''input_ids''']   ,       [0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2]  )

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







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				List[str]:
														for trim_offsets, add_prefix_space in itertools.product([True, False]   ,       repeat=2  ):
																					lowerCAmelCase__			  =      self.rust_tokenizer_class.from_pretrained(
																					    self.tmpdirname   ,       use_fast=lowerCamelCase_   ,       add_prefix_space=lowerCamelCase_   ,       trim_offsets=lowerCamelCase_  )

																					lowerCAmelCase__			  =      json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()  )
																					lowerCAmelCase__			  =      json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()  )

																					self.assertEqual(pre_tokenizer_state['''add_prefix_space''']   ,       lowerCamelCase_  )

																					self.assertEqual(post_processor_state['''add_prefix_space''']   ,       lowerCamelCase_  )
																					self.assertEqual(post_processor_state['''trim_offsets''']   ,       lowerCamelCase_  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				Union[str, Any]:
														# Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
														# `trim_offsets`
														for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																					with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""  ):
																												lowerCAmelCase__			  =      '''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
																												lowerCAmelCase__			  =      F"""{text_of_1_token} {text_of_1_token}"""

																												lowerCAmelCase__			  =      self.rust_tokenizer_class.from_pretrained(
																												    lowerCamelCase_   ,       use_fast=lowerCamelCase_   ,       add_prefix_space=lowerCamelCase_   ,       trim_offsets=lowerCamelCase_  )
																												lowerCAmelCase__			  =      tokenizer_r(lowerCamelCase_   ,       return_offsets_mapping=lowerCamelCase_   ,       add_special_tokens=lowerCamelCase_  )
																												self.assertEqual(encoding.offset_mapping[0]   ,       (0, len(lowerCamelCase_  ))  )
																												self.assertEqual(
																												    encoding.offset_mapping[1]   ,       (len(lowerCamelCase_  ) + 1, len(lowerCamelCase_  ) + 1 + len(lowerCamelCase_  ))   ,       )

																												lowerCAmelCase__			  =      self.rust_tokenizer_class.from_pretrained(
																												    lowerCamelCase_   ,       use_fast=lowerCamelCase_   ,       add_prefix_space=lowerCamelCase_   ,       trim_offsets=lowerCamelCase_  )
																												lowerCAmelCase__			  =      tokenizer_r(lowerCamelCase_   ,       return_offsets_mapping=lowerCamelCase_   ,       add_special_tokens=lowerCamelCase_  )
																												self.assertEqual(encoding.offset_mapping[0]   ,       (0, len(lowerCamelCase_  ))  )
																												self.assertEqual(
																												    encoding.offset_mapping[1]   ,       (len(lowerCamelCase_  ) + 1, len(lowerCamelCase_  ) + 1 + len(lowerCamelCase_  ))   ,       )

																												lowerCAmelCase__			  =      self.rust_tokenizer_class.from_pretrained(
																												    lowerCamelCase_   ,       use_fast=lowerCamelCase_   ,       add_prefix_space=lowerCamelCase_   ,       trim_offsets=lowerCamelCase_  )
																												lowerCAmelCase__			  =      tokenizer_r(lowerCamelCase_   ,       return_offsets_mapping=lowerCamelCase_   ,       add_special_tokens=lowerCamelCase_  )
																												self.assertEqual(encoding.offset_mapping[0]   ,       (0, len(lowerCamelCase_  ))  )
																												self.assertEqual(
																												    encoding.offset_mapping[1]   ,       (len(lowerCamelCase_  ), len(lowerCamelCase_  ) + 1 + len(lowerCamelCase_  ))   ,       )

																												lowerCAmelCase__			  =      self.rust_tokenizer_class.from_pretrained(
																												    lowerCamelCase_   ,       use_fast=lowerCamelCase_   ,       add_prefix_space=lowerCamelCase_   ,       trim_offsets=lowerCamelCase_  )
																												lowerCAmelCase__			  =      tokenizer_r(lowerCamelCase_   ,       return_offsets_mapping=lowerCamelCase_   ,       add_special_tokens=lowerCamelCase_  )
																												self.assertEqual(encoding.offset_mapping[0]   ,       (0, len(lowerCamelCase_  ))  )
																												self.assertEqual(
																												    encoding.offset_mapping[1]   ,       (len(lowerCamelCase_  ), len(lowerCamelCase_  ) + 1 + len(lowerCamelCase_  ))   ,       )

																												lowerCAmelCase__			  =      F""" {text}"""

																												# tokenizer_r = self.rust_tokenizer_class.from_pretrained(
																												#     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
																												# )
																												# encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
																												# self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
																												# self.assertEqual(
																												#     encoding.offset_mapping[1],
																												#     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
																												# )

																												lowerCAmelCase__			  =      self.rust_tokenizer_class.from_pretrained(
																												    lowerCamelCase_   ,       use_fast=lowerCamelCase_   ,       add_prefix_space=lowerCamelCase_   ,       trim_offsets=lowerCamelCase_  )
																												lowerCAmelCase__			  =      tokenizer_r(lowerCamelCase_   ,       return_offsets_mapping=lowerCamelCase_   ,       add_special_tokens=lowerCamelCase_  )
																												self.assertEqual(encoding.offset_mapping[0]   ,       (1, 1 + len(lowerCamelCase_  ))  )
																												self.assertEqual(
																												    encoding.offset_mapping[1]   ,       (1 + len(lowerCamelCase_  ) + 1, 1 + len(lowerCamelCase_  ) + 1 + len(lowerCamelCase_  ))   ,       )

																												lowerCAmelCase__			  =      self.rust_tokenizer_class.from_pretrained(
																												    lowerCamelCase_   ,       use_fast=lowerCamelCase_   ,       add_prefix_space=lowerCamelCase_   ,       trim_offsets=lowerCamelCase_  )
																												lowerCAmelCase__			  =      tokenizer_r(lowerCamelCase_   ,       return_offsets_mapping=lowerCamelCase_   ,       add_special_tokens=lowerCamelCase_  )
																												self.assertEqual(encoding.offset_mapping[0]   ,       (0, 1 + len(lowerCamelCase_  ))  )
																												self.assertEqual(
																												    encoding.offset_mapping[1]   ,       (1 + len(lowerCamelCase_  ), 1 + len(lowerCamelCase_  ) + 1 + len(lowerCamelCase_  ))   ,       )

																												lowerCAmelCase__			  =      self.rust_tokenizer_class.from_pretrained(
																												    lowerCamelCase_   ,       use_fast=lowerCamelCase_   ,       add_prefix_space=lowerCamelCase_   ,       trim_offsets=lowerCamelCase_  )
																												lowerCAmelCase__			  =      tokenizer_r(lowerCamelCase_   ,       return_offsets_mapping=lowerCamelCase_   ,       add_special_tokens=lowerCamelCase_  )
																												self.assertEqual(encoding.offset_mapping[0]   ,       (0, 1 + len(lowerCamelCase_  ))  )
																												self.assertEqual(
																												    encoding.offset_mapping[1]   ,       (1 + len(lowerCamelCase_  ), 1 + len(lowerCamelCase_  ) + 1 + len(lowerCamelCase_  ))   ,       )



'''simple docstring'''






from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

__UpperCAmelCase       							=				TypeVar('''KEY''')
__UpperCAmelCase       							=				TypeVar('''VAL''')




@dataclass(frozen=a__							,							slots=a__    )
class 						a__							(				Generic[KEY, VAL]    ):





							'''simple docstring'''






							lowercase__     :  KEY
							lowercase__     :  VAL




class 						a__							(				_Item    ):





							'''simple docstring'''






							def __init__(						self  )			->				None:
														super().__init__(lowerCamelCase_   ,       lowerCamelCase_  )







							def __bool__(						self  )			->				bool:
														return False

__UpperCAmelCase       							=				_DeletedItem()




class 						a__							(				MutableMapping[KEY, VAL]    ):





							'''simple docstring'''






							def __init__(						self   ,       lowerCamelCase_ = 8   ,       lowerCamelCase_ = 0.75  )			->				None:
														lowerCAmelCase__			  =      initial_block_size
														lowerCAmelCase__			  =      [None] * initial_block_size
														assert 0.0 < capacity_factor < 1.0
														lowerCAmelCase__			  =      capacity_factor
														lowerCAmelCase__			  =      0







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_  )			->				int:
														return hash(lowerCamelCase_  ) % len(self._buckets  )







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_  )			->				int:
														return (ind + 1) % len(self._buckets  )







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_   ,       lowerCamelCase_   ,       lowerCamelCase_  )			->				bool:
														lowerCAmelCase__			  =      self._buckets[ind]
														if not stored:
																					lowerCAmelCase__			  =      _Item(lowerCamelCase_   ,       lowerCamelCase_  )
																					self._len += 1
																					return True
														elif stored.key == key:
																					lowerCAmelCase__			  =      _Item(lowerCamelCase_   ,       lowerCamelCase_  )
																					return True
														else:
																					return False







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				bool:
														lowerCAmelCase__			  =      len(self._buckets  ) * self._capacity_factor
														return len(self  ) >= int(lowerCamelCase_  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				bool:
														if len(self._buckets  ) <= self._initial_block_size:
																					return False
														lowerCAmelCase__			  =      len(self._buckets  ) * self._capacity_factor / 2
														return len(self  ) < limit







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_  )			->				None:
														lowerCAmelCase__			  =      self._buckets
														lowerCAmelCase__			  =      [None] * new_size
														lowerCAmelCase__			  =      0
														for item in old_buckets:
																					if item:
																												self._add_item(item.key   ,       item.val  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				None:
														self._resize(len(self._buckets  ) * 2  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				None:
														self._resize(len(self._buckets  ) // 2  )







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_  )			->				Iterator[int]:
														lowerCAmelCase__			  =      self._get_bucket_index(lowerCamelCase_  )
														for _ in range(len(self._buckets  )  ):
																					yield ind
																					lowerCAmelCase__			  =      self._get_next_ind(lowerCamelCase_  )







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_   ,       lowerCamelCase_  )			->				None:
														for ind in self._iterate_buckets(lowerCamelCase_  ):
																					if self._try_set(lowerCamelCase_   ,       lowerCamelCase_   ,       lowerCamelCase_  ):
																												break







							def __setitem__(						self   ,       lowerCamelCase_   ,       lowerCamelCase_  )			->				None:
														if self._is_full():
																					self._size_up()

														self._add_item(lowerCamelCase_   ,       lowerCamelCase_  )







							def __delitem__(						self   ,       lowerCamelCase_  )			->				None:
														for ind in self._iterate_buckets(lowerCamelCase_  ):
																					lowerCAmelCase__			  =      self._buckets[ind]
																					if item is None:
																												raise KeyError(lowerCamelCase_  )
																					if item is _deleted:
																												continue
																					if item.key == key:
																												lowerCAmelCase__			  =      _deleted
																												self._len -= 1
																												break
														if self._is_sparse():
																					self._size_down()







							def __getitem__(						self   ,       lowerCamelCase_  )			->				VAL:
														for ind in self._iterate_buckets(lowerCamelCase_  ):
																					lowerCAmelCase__			  =      self._buckets[ind]
																					if item is None:
																												break
																					if item is _deleted:
																												continue
																					if item.key == key:
																												return item.val
														raise KeyError(lowerCamelCase_  )







							def __len__(						self  )			->				int:
														return self._len







							def __iter__(						self  )			->				Iterator[KEY]:
														yield from (item.key for item in self._buckets if item)







							def __repr__(						self  )			->				str:
														lowerCAmelCase__			  =      ''' ,'''.join(
														    F"""{item.key}: {item.val}""" for item in self._buckets if item  )
														return F"""HashMap({val_string})"""