



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  lowerCamelCase__    (							lowerCamelCase__   ,       unittest.TestCase):




		'''simple docstring'''



		snake_case_			=LongformerTokenizer
		snake_case_			=True
		snake_case_			=LongformerTokenizerFast
		snake_case_			=True



		def 	lowerCAmelCase__   (self				)  ->    Union[str, Any]:

						"""simple docstring"""






						super().setUp()

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

						lowerCAmelCase__  :       Optional[Any]				=  os.path.join(self.tmpdirname	,VOCAB_FILES_NAMES['''vocab_file''']				)
						lowerCAmelCase__  :       Dict				=  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 	lowerCAmelCase__   (self	,**__lowerCamelCase				)  ->    Optional[Any]:

						"""simple docstring"""






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



		def 	lowerCAmelCase__   (self	,**__lowerCamelCase				)  ->    Optional[Any]:

						"""simple docstring"""






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



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    Dict:

						"""simple docstring"""






						lowerCAmelCase__  :       List[str]				=  '''lower newer'''
						lowerCAmelCase__  :       Tuple				=  '''lower newer'''
						return input_text, output_text



		def 	lowerCAmelCase__   (self				)  ->    List[str]:

						"""simple docstring"""






						lowerCAmelCase__  :       Optional[Any]				=  self.tokenizer_class(self.vocab_file	,self.merges_file	,**self.special_tokens_map				)
						lowerCAmelCase__  :       Union[str, Any]				=  '''lower newer'''
						lowerCAmelCase__  :       Optional[int]				=  ['''l''', '''o''', '''w''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
						lowerCAmelCase__  :       Optional[int]				=  tokenizer.tokenize(__lowerCamelCase				)  # , add_prefix_space=True)
						self.assertListEqual(__lowerCamelCase	,__lowerCamelCase				)

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



		def 	lowerCAmelCase__   (self				)  ->    Optional[Any]:

						"""simple docstring"""






						lowerCAmelCase__  :       Dict				=  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 	lowerCAmelCase__   (self				)  ->    int:

						"""simple docstring"""






						lowerCAmelCase__  :       Any				=  self.tokenizer_class.from_pretrained('''allenai/longformer-base-4096'''				)

						lowerCAmelCase__  :       List[Any]				=  tokenizer.encode('''sequence builders'''	,add_special_tokens=__lowerCamelCase				)
						lowerCAmelCase__  :       int				=  tokenizer.encode('''multi-sequence build'''	,add_special_tokens=__lowerCamelCase				)

						lowerCAmelCase__  :       Optional[Any]				=  tokenizer.encode(
						    '''sequence builders'''	,add_special_tokens=__lowerCamelCase	,add_prefix_space=__lowerCamelCase				)
						lowerCAmelCase__  :       Optional[Any]				=  tokenizer.encode(
						    '''sequence builders'''	,'''multi-sequence build'''	,add_special_tokens=__lowerCamelCase	,add_prefix_space=__lowerCamelCase				)

						lowerCAmelCase__  :       Any				=  tokenizer.build_inputs_with_special_tokens(__lowerCamelCase				)
						lowerCAmelCase__  :       List[Any]				=  tokenizer.build_inputs_with_special_tokens(__lowerCamelCase	,__lowerCamelCase				)

						assert encoded_sentence == encoded_text_from_decode
						assert encoded_pair == encoded_pair_from_decode



		def 	lowerCAmelCase__   (self				)  ->    Union[str, Any]:

						"""simple docstring"""






						lowerCAmelCase__  :       Optional[int]				=  self.get_tokenizer()

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

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

						lowerCAmelCase__  :       List[Any]				=  tokenizer.encode(__lowerCamelCase	,add_special_tokens=__lowerCamelCase	,add_prefix_space=__lowerCamelCase				)
						lowerCAmelCase__  :       Tuple				=  tokenizer.convert_ids_to_tokens(encoded[0]				)[0]
						self.assertEqual(__lowerCamelCase	,__lowerCamelCase				)

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

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

						lowerCAmelCase__  :       Optional[Any]				=  '''Encode <mask> sequence'''
						lowerCAmelCase__  :       Dict				=  '''Encode <mask>sequence'''

						lowerCAmelCase__  :       List[Any]				=  tokenizer.encode(__lowerCamelCase				)
						lowerCAmelCase__  :       int				=  encoded.index(__lowerCamelCase				)
						lowerCAmelCase__  :       Tuple				=  tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]				)[0]
						self.assertEqual(__lowerCamelCase	,__lowerCamelCase				)

						lowerCAmelCase__  :       List[str]				=  tokenizer.encode(__lowerCamelCase				)
						lowerCAmelCase__  :       List[Any]				=  encoded.index(__lowerCamelCase				)
						lowerCAmelCase__  :       List[Any]				=  tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]				)[0]
						self.assertNotEqual(__lowerCamelCase	,__lowerCamelCase				)



		def 	lowerCAmelCase__   (self				)  ->    Optional[Any]:

						"""simple docstring"""






						pass



		def 	lowerCAmelCase__   (self				)  ->    List[Any]:

						"""simple docstring"""






						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
										with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""				):
														lowerCAmelCase__  :       int				=  self.rust_tokenizer_class.from_pretrained(__lowerCamelCase	,**__lowerCamelCase				)
														lowerCAmelCase__  :       Union[str, Any]				=  self.tokenizer_class.from_pretrained(__lowerCamelCase	,**__lowerCamelCase				)
														lowerCAmelCase__  :       Any				=  '''A, <mask> AllenNLP sentence.'''
														lowerCAmelCase__  :       str				=  tokenizer_r.encode_plus(__lowerCamelCase	,add_special_tokens=__lowerCamelCase	,return_token_type_ids=__lowerCamelCase				)
														lowerCAmelCase__  :       str				=  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__  :       List[str]				=  tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids''']				)
														lowerCAmelCase__  :       Union[str, Any]				=  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 	lowerCAmelCase__   (self				)  ->    int:

						"""simple docstring"""






						for trim_offsets, add_prefix_space in itertools.product([True, False]	,repeat=2				):
										lowerCAmelCase__  :       str				=  self.rust_tokenizer_class.from_pretrained(
										    self.tmpdirname	,use_fast=__lowerCamelCase	,add_prefix_space=__lowerCamelCase	,trim_offsets=__lowerCamelCase				)

										lowerCAmelCase__  :       List[str]				=  json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()				)
										lowerCAmelCase__  :       Optional[Any]				=  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 	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				=  '''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
														lowerCAmelCase__  :       List[str]				=  f"""{text_of_1_token} {text_of_1_token}"""

														lowerCAmelCase__  :       List[str]				=  self.rust_tokenizer_class.from_pretrained(
														    __lowerCamelCase	,use_fast=__lowerCamelCase	,add_prefix_space=__lowerCamelCase	,trim_offsets=__lowerCamelCase				)
														lowerCAmelCase__  :       Dict				=  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__  :       Any				=  self.rust_tokenizer_class.from_pretrained(
														    __lowerCamelCase	,use_fast=__lowerCamelCase	,add_prefix_space=__lowerCamelCase	,trim_offsets=__lowerCamelCase				)
														lowerCAmelCase__  :       Any				=  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__  :       int				=  self.rust_tokenizer_class.from_pretrained(
														    __lowerCamelCase	,use_fast=__lowerCamelCase	,add_prefix_space=__lowerCamelCase	,trim_offsets=__lowerCamelCase				)
														lowerCAmelCase__  :       Union[str, Any]				=  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__  :       Optional[int]				=  self.rust_tokenizer_class.from_pretrained(
														    __lowerCamelCase	,use_fast=__lowerCamelCase	,add_prefix_space=__lowerCamelCase	,trim_offsets=__lowerCamelCase				)
														lowerCAmelCase__  :       Optional[Any]				=  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__  :       Optional[int]				=  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__  :       Tuple				=  self.rust_tokenizer_class.from_pretrained(
														    __lowerCamelCase	,use_fast=__lowerCamelCase	,add_prefix_space=__lowerCamelCase	,trim_offsets=__lowerCamelCase				)
														lowerCAmelCase__  :       Optional[Any]				=  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__  :       Dict				=  self.rust_tokenizer_class.from_pretrained(
														    __lowerCamelCase	,use_fast=__lowerCamelCase	,add_prefix_space=__lowerCamelCase	,trim_offsets=__lowerCamelCase				)
														lowerCAmelCase__  :       int				=  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__  :       Any				=  self.rust_tokenizer_class.from_pretrained(
														    __lowerCamelCase	,use_fast=__lowerCamelCase	,add_prefix_space=__lowerCamelCase	,trim_offsets=__lowerCamelCase				)
														lowerCAmelCase__  :       List[str]				=  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				))	,)






from bisect import bisect
from itertools import accumulate






def 			lowerCAmelCase__	(					lowerCamelCase_	:	List[str] ,lowerCamelCase_	:	Optional[Any] ,lowerCamelCase_	:	List[str] ,lowerCamelCase_	:	Optional[int]):





				'''simple docstring'''

				lowerCAmelCase__  :       Any				=  sorted(zip(lowerCamelCase_ ,lowerCamelCase_) ,key=lambda lowerCamelCase_: x[0] / x[1] ,reverse=lowerCamelCase_)
				lowerCAmelCase__		,	lowerCAmelCase__  :       List[str]				=  [i[0] for i in r], [i[1] for i in r]
				lowerCAmelCase__  :       Tuple				=  list(accumulate(lowerCamelCase_))
				lowerCAmelCase__  :       str				=  bisect(lowerCamelCase_ ,lowerCamelCase_)
				return (
				    0
				    if k == 0
				    else sum(vl[:k]) + (w - acc[k - 1]) * (vl[k]) / (wt[k])
				    if k != n
				    else sum(vl[:k])
				)


if __name__ == "__main__":
							import doctest

							doctest.testmod()

