



'''simple docstring'''

import unittest

from transformers import BertGenerationTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


__lowerCAmelCase						      =       '''▁'''

__lowerCAmelCase						      =       get_tests_dir('''fixtures/test_sentencepiece.model''')

@require_sentencepiece
class      __magic_name__						(   _UpperCamelCase      ,						unittest.TestCase       ):
	lowerCAmelCase	:   Optional[Any]           = BertGenerationTokenizer
	lowerCAmelCase	:   List[str]           = False
	lowerCAmelCase	:   Dict           = True







	def 							__lowercase      (							self :	List[str]		):
			super().setUp()

			_a					:				Any				=							BertGenerationTokenizer(_UpperCAmelCase     ,keep_accents=_UpperCAmelCase		)
			tokenizer.save_pretrained(self.tmpdirname		)







	def 							__lowercase      (							self :	List[str]		):
			_a					:				List[str]				=							'<s>'
			_a					:				Dict				=							1

			self.assertEqual(self.get_tokenizer()._convert_token_to_id(_UpperCAmelCase		)     ,_UpperCAmelCase		)
			self.assertEqual(self.get_tokenizer()._convert_id_to_token(_UpperCAmelCase		)     ,_UpperCAmelCase		)







	def 							__lowercase      (							self :	Optional[Any]		):
			_a					:				Any				=							list(self.get_tokenizer().get_vocab().keys()		)

			self.assertEqual(vocab_keys[0]     ,'<unk>'		)
			self.assertEqual(vocab_keys[1]     ,'<s>'		)
			self.assertEqual(vocab_keys[-1]     ,'<pad>'		)
			self.assertEqual(len(_UpperCAmelCase		)     ,1002		)







	def 							__lowercase      (							self :	Union[str, Any]		):
			self.assertEqual(self.get_tokenizer().vocab_size     ,1000		)







	def 							__lowercase      (							self :	int		):
			_a					:				Union[str, Any]				=							BertGenerationTokenizer(_UpperCAmelCase     ,keep_accents=_UpperCAmelCase		)

			_a					:				List[str]				=							tokenizer.tokenize('This is a test'		)
			self.assertListEqual(_UpperCAmelCase     ,['▁This', '▁is', '▁a', '▁t', 'est']		)

			self.assertListEqual(
			    tokenizer.convert_tokens_to_ids(_UpperCAmelCase		)     ,[285, 46, 10, 170, 382]     ,)

			_a					:				Optional[int]				=							tokenizer.tokenize('I was born in 92000, and this is falsé.'		)
			self.assertListEqual(
			    _UpperCAmelCase     ,[
			        SPIECE_UNDERLINE + 'I',
			        SPIECE_UNDERLINE + 'was',
			        SPIECE_UNDERLINE + 'b',
			        'or',
			        'n',
			        SPIECE_UNDERLINE + 'in',
			        SPIECE_UNDERLINE + '',
			        '9',
			        '2',
			        '0',
			        '0',
			        '0',
			        ',',
			        SPIECE_UNDERLINE + 'and',
			        SPIECE_UNDERLINE + 'this',
			        SPIECE_UNDERLINE + 'is',
			        SPIECE_UNDERLINE + 'f',
			        'al',
			        's',
			        'é',
			        '.',
			    ]     ,)
			_a					:				Optional[Any]				=							tokenizer.convert_tokens_to_ids(_UpperCAmelCase		)
			self.assertListEqual(
			    _UpperCAmelCase     ,[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]     ,)

			_a					:				List[Any]				=							tokenizer.convert_ids_to_tokens(_UpperCAmelCase		)
			self.assertListEqual(
			    _UpperCAmelCase     ,[
			        SPIECE_UNDERLINE + 'I',
			        SPIECE_UNDERLINE + 'was',
			        SPIECE_UNDERLINE + 'b',
			        'or',
			        'n',
			        SPIECE_UNDERLINE + 'in',
			        SPIECE_UNDERLINE + '',
			        '<unk>',
			        '2',
			        '0',
			        '0',
			        '0',
			        ',',
			        SPIECE_UNDERLINE + 'and',
			        SPIECE_UNDERLINE + 'this',
			        SPIECE_UNDERLINE + 'is',
			        SPIECE_UNDERLINE + 'f',
			        'al',
			        's',
			        '<unk>',
			        '.',
			    ]     ,)







	@cached_property
	def 							__lowercase      (							self :	str		):
			return BertGenerationTokenizer.from_pretrained('google/bert_for_seq_generation_L-24_bbc_encoder'		)







	@slow
	def 							__lowercase      (							self :	Union[str, Any]		):
			_a					:				Dict				=							'Hello World!'
			_a					:				Dict				=							[18536, 2260, 101]

			self.assertListEqual(_UpperCAmelCase     ,self.big_tokenizer.encode(_UpperCAmelCase		)		)







	@slow
	def 							__lowercase      (							self :	List[str]		):
			_a					:				int				=							(
			    'This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'
			    ' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'
			)
			_a					:				Any				=							[
			    871,
			    419,
			    358,
			    946,
			    991,
			    2521,
			    452,
			    358,
			    1357,
			    387,
			    7751,
			    3536,
			    112,
			    985,
			    456,
			    126,
			    865,
			    938,
			    5400,
			    5734,
			    458,
			    1368,
			    467,
			    786,
			    2462,
			    5246,
			    1159,
			    633,
			    865,
			    4519,
			    457,
			    582,
			    852,
			    2557,
			    427,
			    916,
			    508,
			    405,
			    34324,
			    497,
			    391,
			    408,
			    11342,
			    1244,
			    385,
			    100,
			    938,
			    985,
			    456,
			    574,
			    362,
			    12597,
			    3200,
			    3129,
			    1172,
			]

			self.assertListEqual(_UpperCAmelCase     ,self.big_tokenizer.encode(_UpperCAmelCase		)		)







	@require_torch
	@slow
	def 							__lowercase      (							self :	List[str]		):
			import torch

			from transformers import BertGenerationConfig, BertGenerationEncoder

			# Build sequence
			_a					:				Optional[int]				=							list(self.big_tokenizer.get_vocab().keys()		)[:10]
			_a					:				int				=							' '.join(_UpperCAmelCase		)
			_a					:				str				=							self.big_tokenizer.encode_plus(_UpperCAmelCase     ,return_tensors='pt'     ,return_token_type_ids=_UpperCAmelCase		)
			_a					:				Union[str, Any]				=							self.big_tokenizer.batch_encode_plus(
			    [sequence + ' ' + sequence]     ,return_tensors='pt'     ,return_token_type_ids=_UpperCAmelCase		)

			_a					:				Tuple				=							BertGenerationConfig()
			_a					:				int				=							BertGenerationEncoder(_UpperCAmelCase		)

			assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

			with torch.no_grad():
					model(**_UpperCAmelCase		)
					model(**_UpperCAmelCase		)







	@slow
	def 							__lowercase      (							self :	Dict		):
			# fmt: off
			_a					:				int				=							{'input_ids': [[39286, 458, 36335, 2001, 456, 13073, 13266, 455, 113, 7746, 1741, 11157, 391, 13073, 13266, 455, 113, 3967, 35412, 113, 4936, 109, 3870, 2377, 113, 30084, 45720, 458, 134, 17496, 112, 503, 11672, 113, 118, 112, 5665, 13347, 38687, 112, 1496, 31389, 112, 3268, 47264, 134, 962, 112, 16377, 8035, 23130, 430, 12169, 15518, 28592, 458, 146, 41697, 109, 391, 12169, 15518, 16689, 458, 146, 41358, 109, 452, 726, 4034, 111, 763, 35412, 5082, 388, 1903, 111, 9051, 391, 2870, 48918, 1900, 1123, 550, 998, 112, 9586, 15985, 455, 391, 410, 22955, 37636, 114], [448, 17496, 419, 3663, 385, 763, 113, 27533, 2870, 3283, 13043, 1639, 24713, 523, 656, 24013, 18550, 2521, 517, 27014, 21244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 11786, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [484, 2169, 7687, 21932, 18146, 726, 363, 17032, 3391, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
			# fmt: on

			self.tokenizer_integration_test_util(
			    expected_encoding=_UpperCAmelCase     ,model_name='google/bert_for_seq_generation_L-24_bbc_encoder'     ,revision='c817d1fd1be2ffa69431227a1fe320544943d4db'     ,)









'''simple docstring'''

from __future__ import annotations

import collections
import pprint
from pathlib import Path



def 					__lowerCamelCase					(				lowerCAmelCase_  )      ->				str:
		return "".join(sorted(lowerCAmelCase_  )  )



def 					__lowerCamelCase					(				lowerCAmelCase_  )      ->				list[str]:
		return word_by_signature[signature(lowerCAmelCase_  )]


__lowerCAmelCase						      =       Path(__file__).parent.joinpath('''words.txt''').read_text(encoding='''utf-8''')
__lowerCAmelCase						      =       sorted({word.strip().lower() for word in data.splitlines()})

__lowerCAmelCase						      =       collections.defaultdict(list)
for word in word_list:
							word_by_signature[signature(word)].append(word)

if __name__ == "__main__":
							__lowerCAmelCase						      =       {word: anagram(word) for word in word_list if len(anagram(word)) > 1}

							with open('''anagrams.txt''', '''w''') as file:
														file.write('''all_anagrams = \n ''')
														file.write(pprint.pformat(all_anagrams))




