


import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple

from transformers import AddedToken, BatchEncoding, PerceiverTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
						__lowerCAmelCase	: str  				='pt'
elif is_tf_available():
						__lowerCAmelCase	: Dict  				='tf'
else:
						__lowerCAmelCase	: Dict  				='jax'
class        _lowercase      (			A__						,			unittest.TestCase       ):






				'''simple docstring'''



				SCREAMING_SNAKE_CASE__				:			List[Any]						=		PerceiverTokenizer
				SCREAMING_SNAKE_CASE__				:			List[Any]						=		False


				def 		__magic_name__(       self			:Any	)		->			str:
										super().setUp()
										__SCREAMING_SNAKE_CASE						:     int					=		PerceiverTokenizer()
										tokenizer.save_pretrained(self.tmpdirname	)


				@cached_property
				def 		__magic_name__(       self			:str	)		->			List[Any]:
										return PerceiverTokenizer.from_pretrained('''deepmind/language-perceiver'''	)


				def 		__magic_name__(       self			:List[Any]			,			**lowerCAmelCase__			:Optional[int]	)		->			PerceiverTokenizer:
										return self.tokenizer_class.from_pretrained(self.tmpdirname			,			**lowerCAmelCase__	)


				def 		__magic_name__(       self			:Tuple			,			lowerCAmelCase__			:Optional[int]			,			lowerCAmelCase__			:Union[str, Any]=False			,			lowerCAmelCase__			:List[Any]=20			,			lowerCAmelCase__			:str=5	)		->			Tuple[str, list]:
										# XXX The default common tokenizer tests assume that every ID is decodable on its own.
										# This assumption is invalid for Perceiver because single bytes might not be
										# valid utf-8 (byte 128 for instance).
										# Here we're overriding the smallest possible method to provide
										# a clean sequence without making the same assumption.

										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		[]
										for i in range(len(lowerCAmelCase__	)	):
																try:
																						__SCREAMING_SNAKE_CASE						:     List[Any]					=		tokenizer.decode([i]			,			clean_up_tokenization_spaces=lowerCAmelCase__	)
																except UnicodeDecodeError:
																						pass
																toks.append((i, tok)	)

										__SCREAMING_SNAKE_CASE						:     Optional[int]					=		list(filter(lambda lowerCAmelCase__	: re.match(r'''^[ a-zA-Z]+$'''			,			t[1]	)			,			lowerCAmelCase__	)	)
										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		list(filter(lambda lowerCAmelCase__	: [t[0]] == tokenizer.encode(t[1]			,			add_special_tokens=lowerCAmelCase__	)			,			lowerCAmelCase__	)	)
										if max_length is not None and len(lowerCAmelCase__	) > max_length:
																__SCREAMING_SNAKE_CASE						:     Dict					=		toks[:max_length]
										if min_length is not None and len(lowerCAmelCase__	) < min_length and len(lowerCAmelCase__	) > 0:
																while len(lowerCAmelCase__	) < min_length:
																						__SCREAMING_SNAKE_CASE						:     List[Any]					=		toks + toks
        # toks_str = [t[1] for t in toks]
										__SCREAMING_SNAKE_CASE						:     Optional[int]					=		[t[0] for t in toks]

										# Ensure consistency
										__SCREAMING_SNAKE_CASE						:     Dict					=		tokenizer.decode(lowerCAmelCase__			,			clean_up_tokenization_spaces=lowerCAmelCase__	)
										if " " not in output_txt and len(lowerCAmelCase__	) > 1:
																__SCREAMING_SNAKE_CASE						:     Any					=		(
																    tokenizer.decode([toks_ids[0]]			,			clean_up_tokenization_spaces=lowerCAmelCase__	)
																    + ''' '''
																    + tokenizer.decode(toks_ids[1:]			,			clean_up_tokenization_spaces=lowerCAmelCase__	)
																)
										if with_prefix_space:
																__SCREAMING_SNAKE_CASE						:     List[str]					=		''' ''' + output_txt
										__SCREAMING_SNAKE_CASE						:     List[Any]					=		tokenizer.encode(lowerCAmelCase__			,			add_special_tokens=lowerCAmelCase__	)
										return output_txt, output_ids


				def 		__magic_name__(       self			:Union[str, Any]	)		->			Tuple:
										__SCREAMING_SNAKE_CASE						:     Any					=		self.perceiver_tokenizer
										__SCREAMING_SNAKE_CASE						:     str					=		'''Unicode €.'''
										__SCREAMING_SNAKE_CASE						:     Any					=		tokenizer(lowerCAmelCase__	)
										__SCREAMING_SNAKE_CASE						:     Tuple					=		[4, 91, 116, 111, 105, 117, 106, 107, 38, 232, 136, 178, 52, 5]
										self.assertEqual(encoded['''input_ids''']			,			lowerCAmelCase__	)

										# decoding
										__SCREAMING_SNAKE_CASE						:     List[Any]					=		tokenizer.decode(lowerCAmelCase__	)
										self.assertEqual(lowerCAmelCase__			,			'''[CLS]Unicode €.[SEP]'''	)

										__SCREAMING_SNAKE_CASE						:     List[str]					=		tokenizer('''e è é ê ë'''	)
										__SCREAMING_SNAKE_CASE						:     Tuple					=		[4, 107, 38, 201, 174, 38, 201, 175, 38, 201, 176, 38, 201, 177, 5]
										self.assertEqual(encoded['''input_ids''']			,			lowerCAmelCase__	)
										# decoding
										__SCREAMING_SNAKE_CASE						:     Any					=		tokenizer.decode(lowerCAmelCase__	)
										self.assertEqual(lowerCAmelCase__			,			'''[CLS]e è é ê ë[SEP]'''	)

										# encode/decode, but with `encode` instead of `__call__`
										self.assertEqual(tokenizer.decode(tokenizer.encode('''e è é ê ë'''	)	)			,			'''[CLS]e è é ê ë[SEP]'''	)


				def 		__magic_name__(       self			:List[Any]	)		->			int:
										__SCREAMING_SNAKE_CASE						:     List[Any]					=		self.perceiver_tokenizer
										__SCREAMING_SNAKE_CASE						:     Dict					=		['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
										# fmt: off
										__SCREAMING_SNAKE_CASE						:     Any					=		[4, 71, 38, 114, 117, 116, 109, 38, 118, 103, 120, 103, 109, 120, 103, 118, 110, 38, 108, 117, 120, 38, 121, 123, 115, 115, 103, 120, 111, 128, 103, 122, 111, 117, 116, 52, 5, 0]
										# fmt: on
										__SCREAMING_SNAKE_CASE						:     Tuple					=		tokenizer(lowerCAmelCase__			,			padding=lowerCAmelCase__			,			return_tensors=lowerCAmelCase__	)
										self.assertIsInstance(lowerCAmelCase__			,			lowerCAmelCase__	)

										if FRAMEWORK != "jax":
																__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		list(batch.input_ids.numpy()[0]	)
										else:
																__SCREAMING_SNAKE_CASE						:     str					=		list(batch.input_ids.tolist()[0]	)

										self.assertListEqual(lowerCAmelCase__			,			lowerCAmelCase__	)

										self.assertEqual((2, 38)			,			batch.input_ids.shape	)
										self.assertEqual((2, 38)			,			batch.attention_mask.shape	)


				def 		__magic_name__(       self			:Union[str, Any]	)		->			List[Any]:
										__SCREAMING_SNAKE_CASE						:     List[str]					=		self.perceiver_tokenizer
										__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
										__SCREAMING_SNAKE_CASE						:     List[Any]					=		tokenizer(lowerCAmelCase__			,			padding=lowerCAmelCase__			,			return_tensors=lowerCAmelCase__	)
										# check if input_ids are returned and no decoder_input_ids
										self.assertIn('''input_ids'''			,			lowerCAmelCase__	)
										self.assertIn('''attention_mask'''			,			lowerCAmelCase__	)
										self.assertNotIn('''decoder_input_ids'''			,			lowerCAmelCase__	)
										self.assertNotIn('''decoder_attention_mask'''			,			lowerCAmelCase__	)


				def 		__magic_name__(       self			:List[Any]	)		->			List[str]:
										__SCREAMING_SNAKE_CASE						:     Dict					=		self.perceiver_tokenizer
										__SCREAMING_SNAKE_CASE						:     int					=		[
										    '''Summary of the text.''',
										    '''Another summary.''',
										]
										__SCREAMING_SNAKE_CASE						:     Optional[int]					=		tokenizer(
										    text_target=lowerCAmelCase__			,			max_length=32			,			padding='''max_length'''			,			truncation=lowerCAmelCase__			,			return_tensors=lowerCAmelCase__	)
										self.assertEqual(32			,			targets['''input_ids'''].shape[1]	)


				def 		__magic_name__(       self			:Union[str, Any]	)		->			Dict:
										# safety check on max_len default value so we are sure the test works
										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		self.get_tokenizers()
										for tokenizer in tokenizers:
																with self.subTest(f'''{tokenizer.__class__.__name__}'''	):
																						self.assertNotEqual(tokenizer.model_max_length			,			42	)

        # Now let's start the test
										__SCREAMING_SNAKE_CASE						:     List[str]					=		self.get_tokenizers()
										for tokenizer in tokenizers:
																with self.subTest(f'''{tokenizer.__class__.__name__}'''	):
																						# Isolate this from the other tests because we save additional tokens/etc
																						__SCREAMING_SNAKE_CASE						:     Dict					=		tempfile.mkdtemp()

																						__SCREAMING_SNAKE_CASE						:     Tuple					=		''' He is very happy, UNwant\u00E9d,running'''
																						__SCREAMING_SNAKE_CASE						:     Any					=		tokenizer.encode(lowerCAmelCase__			,			add_special_tokens=lowerCAmelCase__	)
																						tokenizer.save_pretrained(lowerCAmelCase__	)

																						__SCREAMING_SNAKE_CASE						:     int					=		tokenizer.__class__.from_pretrained(lowerCAmelCase__	)
																						__SCREAMING_SNAKE_CASE						:     Optional[int]					=		after_tokenizer.encode(lowerCAmelCase__			,			add_special_tokens=lowerCAmelCase__	)
																						self.assertListEqual(lowerCAmelCase__			,			lowerCAmelCase__	)

																						shutil.rmtree(lowerCAmelCase__	)

										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		self.get_tokenizers(model_max_length=42	)
										for tokenizer in tokenizers:
																with self.subTest(f'''{tokenizer.__class__.__name__}'''	):
																						# Isolate this from the other tests because we save additional tokens/etc
																						__SCREAMING_SNAKE_CASE						:     int					=		tempfile.mkdtemp()

																						__SCREAMING_SNAKE_CASE						:     List[str]					=		''' He is very happy, UNwant\u00E9d,running'''
																						tokenizer.add_tokens(['''bim''', '''bambam''']	)
																						__SCREAMING_SNAKE_CASE						:     Dict					=		tokenizer.additional_special_tokens
																						additional_special_tokens.append('''new_additional_special_token'''	)
																						tokenizer.add_special_tokens({'''additional_special_tokens''': additional_special_tokens}	)
																						__SCREAMING_SNAKE_CASE						:     Optional[int]					=		tokenizer.encode(lowerCAmelCase__			,			add_special_tokens=lowerCAmelCase__	)
																						tokenizer.save_pretrained(lowerCAmelCase__	)

																						__SCREAMING_SNAKE_CASE						:     Tuple					=		tokenizer.__class__.from_pretrained(lowerCAmelCase__	)
																						__SCREAMING_SNAKE_CASE						:     List[Any]					=		after_tokenizer.encode(lowerCAmelCase__			,			add_special_tokens=lowerCAmelCase__	)
																						self.assertListEqual(lowerCAmelCase__			,			lowerCAmelCase__	)
																						self.assertIn('''new_additional_special_token'''			,			after_tokenizer.additional_special_tokens	)
																						self.assertEqual(after_tokenizer.model_max_length			,			42	)

																						__SCREAMING_SNAKE_CASE						:     Optional[int]					=		tokenizer.__class__.from_pretrained(lowerCAmelCase__			,			model_max_length=43	)
																						self.assertEqual(tokenizer.model_max_length			,			43	)

																						shutil.rmtree(lowerCAmelCase__	)


				def 		__magic_name__(       self			:List[Any]	)		->			Optional[int]:
										__SCREAMING_SNAKE_CASE						:     Tuple					=		[]
										if self.test_slow_tokenizer:
																tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())	)

										if self.test_rust_tokenizer:
																tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())	)

										for tokenizer_class, tokenizer_utils in tokenizer_list:
																with tempfile.TemporaryDirectory() as tmp_dir:
																						tokenizer_utils.save_pretrained(lowerCAmelCase__	)

																						with open(os.path.join(lowerCAmelCase__			,			'''special_tokens_map.json'''	)			,			encoding='''utf-8'''	) as json_file:
																												__SCREAMING_SNAKE_CASE						:     Tuple					=		json.load(lowerCAmelCase__	)

																						with open(os.path.join(lowerCAmelCase__			,			'''tokenizer_config.json'''	)			,			encoding='''utf-8'''	) as json_file:
																												__SCREAMING_SNAKE_CASE						:     int					=		json.load(lowerCAmelCase__	)

																						__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		[f'''<extra_id_{i}>''' for i in range(125	)]

																						__SCREAMING_SNAKE_CASE						:     List[Any]					=		added_tokens_extra_ids + [
																						    '''an_additional_special_token'''
																						]
																						__SCREAMING_SNAKE_CASE						:     Tuple					=		added_tokens_extra_ids + [
																						    '''an_additional_special_token'''
																						]

																						with open(os.path.join(lowerCAmelCase__			,			'''special_tokens_map.json'''	)			,			'''w'''			,			encoding='''utf-8'''	) as outfile:
																												json.dump(lowerCAmelCase__			,			lowerCAmelCase__	)
																						with open(os.path.join(lowerCAmelCase__			,			'''tokenizer_config.json'''	)			,			'''w'''			,			encoding='''utf-8'''	) as outfile:
																												json.dump(lowerCAmelCase__			,			lowerCAmelCase__	)

																						# the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
																						# into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
																						# "special_tokens_map.json" files
																						__SCREAMING_SNAKE_CASE						:     Optional[int]					=		tokenizer_class.from_pretrained(
																						    lowerCAmelCase__			,			)
																						self.assertIn(
																						    '''an_additional_special_token'''			,			tokenizer_without_change_in_init.additional_special_tokens	)
																						self.assertEqual(
																						    ['''an_additional_special_token''']			,			tokenizer_without_change_in_init.convert_ids_to_tokens(
																						        tokenizer_without_change_in_init.convert_tokens_to_ids(['''an_additional_special_token''']	)	)			,			)

																						# Now we test that we can change the value of additional_special_tokens in the from_pretrained
																						__SCREAMING_SNAKE_CASE						:     Any					=		added_tokens_extra_ids + [AddedToken('''a_new_additional_special_token'''			,			lstrip=lowerCAmelCase__	)]
																						__SCREAMING_SNAKE_CASE						:     Any					=		tokenizer_class.from_pretrained(
																						    lowerCAmelCase__			,			additional_special_tokens=lowerCAmelCase__			,			)

																						self.assertIn('''a_new_additional_special_token'''			,			tokenizer.additional_special_tokens	)
																						self.assertEqual(
																						    ['''a_new_additional_special_token''']			,			tokenizer.convert_ids_to_tokens(
																						        tokenizer.convert_tokens_to_ids(['''a_new_additional_special_token''']	)	)			,			)


				def 		__magic_name__(       self			:Optional[Any]	)		->			List[Any]:
										__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		self.perceiver_tokenizer
										self.assertEqual(tokenizer.decode([178]	)			,			'''�'''	)


				def 		__magic_name__(       self			:Any	)		->			Dict:
										pass


				def 		__magic_name__(       self			:Optional[int]	)		->			List[Any]:
										pass


				def 		__magic_name__(       self			:Any	)		->			str:
										pass


				def 		__magic_name__(       self			:Optional[int]	)		->			Union[str, Any]:
										pass



				def 		__magic_name__(       self			:Union[str, Any]	)		->			str:
										# The default common tokenizer tests uses invalid tokens for Perceiver that can only accept one-character
										# strings and special added tokens as tokens
										__SCREAMING_SNAKE_CASE						:     Tuple					=		self.get_tokenizers(fast=lowerCAmelCase__			,			do_lower_case=lowerCAmelCase__	)
										for tokenizer in tokenizers:
																with self.subTest(f'''{tokenizer.__class__.__name__}'''	):
																						__SCREAMING_SNAKE_CASE						:     int					=		['''[CLS]''', '''t''', '''h''', '''i''', '''s''', ''' ''', '''i''', '''s''', ''' ''', '''a''', ''' ''', '''t''', '''e''', '''s''', '''t''', '''[SEP]''']
																						__SCREAMING_SNAKE_CASE						:     Any					=		tokenizer.convert_tokens_to_string(lowerCAmelCase__	)

																						self.assertIsInstance(lowerCAmelCase__			,			lowerCAmelCase__	)




from __future__ import annotations

import bisect


def        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__ = 0    ,       lowercase__ = -1      ):
						if hi < 0:
												__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		len(lowercase__      )

						while lo < hi:
												__SCREAMING_SNAKE_CASE						:     Any					=		lo + (hi - lo) // 2
												if sorted_collection[mid] < item:
																		__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		mid + 1
												else:
																		__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		mid

						return lo


def        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__ = 0    ,       lowercase__ = -1      ):
						if hi < 0:
												__SCREAMING_SNAKE_CASE						:     List[Any]					=		len(lowercase__      )

						while lo < hi:
												__SCREAMING_SNAKE_CASE						:     Optional[int]					=		lo + (hi - lo) // 2
												if sorted_collection[mid] <= item:
																		__SCREAMING_SNAKE_CASE						:     Any					=		mid + 1
												else:
																		__SCREAMING_SNAKE_CASE						:     Optional[int]					=		mid

						return lo


def        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__ = 0    ,       lowercase__ = -1      ):
						sorted_collection.insert(bisect_left(lowercase__    ,       lowercase__    ,       lowercase__    ,       lowercase__      )    ,       lowercase__      )


def        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__ = 0    ,       lowercase__ = -1      ):
						sorted_collection.insert(bisect_right(lowercase__    ,       lowercase__    ,       lowercase__    ,       lowercase__      )    ,       lowercase__      )


def        _UpperCamelCase							(      lowercase__    ,       lowercase__      ):
						__SCREAMING_SNAKE_CASE						:     Any					=		0
						__SCREAMING_SNAKE_CASE						:     List[Any]					=		len(lowercase__      ) - 1

						while left <= right:
												__SCREAMING_SNAKE_CASE						:     str					=		left + (right - left) // 2
												__SCREAMING_SNAKE_CASE						:     List[str]					=		sorted_collection[midpoint]
												if current_item == item:
																		return midpoint
												elif item < current_item:
																		__SCREAMING_SNAKE_CASE						:     int					=		midpoint - 1
												else:
																		__SCREAMING_SNAKE_CASE						:     Dict					=		midpoint + 1
						return None


def        _UpperCamelCase							(      lowercase__    ,       lowercase__      ):
						__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		bisect.bisect_left(lowercase__    ,       lowercase__      )
						if index != len(lowercase__      ) and sorted_collection[index] == item:
												return index
						return None


def        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__    ,       lowercase__      ):
						if right < left:
												return None

						__SCREAMING_SNAKE_CASE						:     int					=		left + (right - left) // 2

						if sorted_collection[midpoint] == item:
												return midpoint
						elif sorted_collection[midpoint] > item:
												return binary_search_by_recursion(lowercase__    ,       lowercase__    ,       lowercase__    ,       midpoint - 1      )
						else:
												return binary_search_by_recursion(lowercase__    ,       lowercase__    ,       midpoint + 1    ,       lowercase__      )


if __name__ == "__main__":
						__lowerCAmelCase	: Dict  				=input('Enter numbers separated by comma:\n').strip()
						__lowerCAmelCase	: str  				=sorted(int(item) for item in user_input.split(','))
						__lowerCAmelCase	: Tuple  				=int(input('Enter a single number to be found in the list:\n'))
						__lowerCAmelCase	: Tuple  				=binary_search(collection, target)
						if result is None:
												print(f"""{target} was not found in {collection}.""")
						else:
												print(f"""{target} was found at position {result} in {collection}.""")
