



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():
				snake_case_    					=	"""pt"""
elif is_tf_available():
				snake_case_    					=	"""tf"""
else:
				snake_case_    					=	"""jax"""







class 				A_      (					__SCREAMING_SNAKE_CASE     ,       unittest.TestCase    ):



						"""simple docstring"""
						__UpperCamelCase		    =							PerceiverTokenizer
						__UpperCamelCase		    =							False






						def      UpperCAmelCase__					( self			:Optional[int] )    ->      Union[str, Any]:
												super().setUp()
												UpperCAmelCase					=			PerceiverTokenizer()
												tokenizer.save_pretrained(self.tmpdirname )






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






						def      UpperCAmelCase__					( self			:Union[str, Any]       ,  **lowercase_			:Any )    ->      str:
												return self.tokenizer_class.from_pretrained(self.tmpdirname       ,  **_snake_case )






						def      UpperCAmelCase__					( self			:str       ,  lowercase_			:List[str]       ,  lowercase_			:List[Any]=False       ,  lowercase_			:int=20       ,  lowercase_			:int=5 )    ->      List[Any]:
												# 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.

												UpperCAmelCase					=			[]
												for i in range(len(_snake_case ) ):
																		try:
																								UpperCAmelCase					=			tokenizer.decode([i]       ,  clean_up_tokenization_spaces=_snake_case )
																		except UnicodeDecodeError:
																								pass
																		toks.append((i, tok) )

												UpperCAmelCase					=			list(filter(lambda lowercase_ : re.match(R'^[ a-zA-Z]+$'       ,  t[1] )       ,  _snake_case ) )
												UpperCAmelCase					=			list(filter(lambda lowercase_ : [t[0]] == tokenizer.encode(t[1]       ,  add_special_tokens=_snake_case )       ,  _snake_case ) )
												if max_length is not None and len(_snake_case ) > max_length:
																		UpperCAmelCase					=			toks[:max_length]
												if min_length is not None and len(_snake_case ) < min_length and len(_snake_case ) > 0:
																		while len(_snake_case ) < min_length:
																								UpperCAmelCase					=			toks + toks
        # toks_str = [t[1] for t in toks]
												UpperCAmelCase					=			[t[0] for t in toks]

												# Ensure consistency
												UpperCAmelCase					=			tokenizer.decode(_snake_case       ,  clean_up_tokenization_spaces=_snake_case )
												if " " not in output_txt and len(_snake_case ) > 1:
																		UpperCAmelCase					=			(
																		    tokenizer.decode([toks_ids[0]]       ,  clean_up_tokenization_spaces=_snake_case )
																		    + " "
																		    + tokenizer.decode(toks_ids[1:]       ,  clean_up_tokenization_spaces=_snake_case )
																		)
												if with_prefix_space:
																		UpperCAmelCase					=			" " + output_txt
												UpperCAmelCase					=			tokenizer.encode(_snake_case       ,  add_special_tokens=_snake_case )
												return output_txt, output_ids






						def      UpperCAmelCase__					( self			:List[Any] )    ->      int:
												UpperCAmelCase					=			self.perceiver_tokenizer
												UpperCAmelCase					=			"Unicode €."
												UpperCAmelCase					=			tokenizer(_snake_case )
												UpperCAmelCase					=			[4, 91, 1_16, 1_11, 1_05, 1_17, 1_06, 1_07, 38, 2_32, 1_36, 1_78, 52, 5]
												self.assertEqual(encoded['input_ids']       ,  _snake_case )

												# decoding
												UpperCAmelCase					=			tokenizer.decode(_snake_case )
												self.assertEqual(_snake_case       ,  '[CLS]Unicode €.[SEP]' )

												UpperCAmelCase					=			tokenizer('e è é ê ë' )
												UpperCAmelCase					=			[4, 1_07, 38, 2_01, 1_74, 38, 2_01, 1_75, 38, 2_01, 1_76, 38, 2_01, 1_77, 5]
												self.assertEqual(encoded['input_ids']       ,  _snake_case )
												# decoding
												UpperCAmelCase					=			tokenizer.decode(_snake_case )
												self.assertEqual(_snake_case       ,  '[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      UpperCAmelCase__					( self			:Dict )    ->      Union[str, Any]:
												UpperCAmelCase					=			self.perceiver_tokenizer
												UpperCAmelCase					=			["A long paragraph for summarization.", "Another paragraph for summarization."]
												# fmt: off
												UpperCAmelCase					=			[4, 71, 38, 1_14, 1_17, 1_16, 1_09, 38, 1_18, 1_03, 1_20, 1_03, 1_09, 1_20, 1_03, 1_18, 1_10, 38, 1_08, 1_17, 1_20, 38, 1_21, 1_23, 1_15, 1_15, 1_03, 1_20, 1_11, 1_28, 1_03, 1_22, 1_11, 1_17, 1_16, 52, 5, 0]
												# fmt: on
												UpperCAmelCase					=			tokenizer(_snake_case       ,  padding=_snake_case       ,  return_tensors=_snake_case )
												self.assertIsInstance(_snake_case       ,  _snake_case )

												if FRAMEWORK != "jax":
																		UpperCAmelCase					=			list(batch.input_ids.numpy()[0] )
												else:
																		UpperCAmelCase					=			list(batch.input_ids.tolist()[0] )

												self.assertListEqual(_snake_case       ,  _snake_case )

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






						def      UpperCAmelCase__					( self			:List[str] )    ->      Optional[int]:
												UpperCAmelCase					=			self.perceiver_tokenizer
												UpperCAmelCase					=			["A long paragraph for summarization.", "Another paragraph for summarization."]
												UpperCAmelCase					=			tokenizer(_snake_case       ,  padding=_snake_case       ,  return_tensors=_snake_case )
												# check if input_ids are returned and no decoder_input_ids
												self.assertIn('input_ids'       ,  _snake_case )
												self.assertIn('attention_mask'       ,  _snake_case )
												self.assertNotIn('decoder_input_ids'       ,  _snake_case )
												self.assertNotIn('decoder_attention_mask'       ,  _snake_case )






						def      UpperCAmelCase__					( self			:Union[str, Any] )    ->      Dict:
												UpperCAmelCase					=			self.perceiver_tokenizer
												UpperCAmelCase					=			[
												    "Summary of the text.",
												    "Another summary.",
												]
												UpperCAmelCase					=			tokenizer(
												    text_target=_snake_case       ,  max_length=32       ,  padding='max_length'       ,  truncation=_snake_case       ,  return_tensors=_snake_case )
												self.assertEqual(32       ,  targets['input_ids'].shape[1] )






						def      UpperCAmelCase__					( self			:int )    ->      Union[str, Any]:
												# safety check on max_len default value so we are sure the test works
												UpperCAmelCase					=			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
												UpperCAmelCase					=			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
																								UpperCAmelCase					=			tempfile.mkdtemp()

																								UpperCAmelCase					=			" He is very happy, UNwant\u00E9d,running"
																								UpperCAmelCase					=			tokenizer.encode(_snake_case       ,  add_special_tokens=_snake_case )
																								tokenizer.save_pretrained(_snake_case )

																								UpperCAmelCase					=			tokenizer.__class__.from_pretrained(_snake_case )
																								UpperCAmelCase					=			after_tokenizer.encode(_snake_case       ,  add_special_tokens=_snake_case )
																								self.assertListEqual(_snake_case       ,  _snake_case )

																								shutil.rmtree(_snake_case )

												UpperCAmelCase					=			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
																								UpperCAmelCase					=			tempfile.mkdtemp()

																								UpperCAmelCase					=			" He is very happy, UNwant\u00E9d,running"
																								tokenizer.add_tokens(['bim', 'bambam'] )
																								UpperCAmelCase					=			tokenizer.additional_special_tokens
																								additional_special_tokens.append('new_additional_special_token' )
																								tokenizer.add_special_tokens({'additional_special_tokens': additional_special_tokens} )
																								UpperCAmelCase					=			tokenizer.encode(_snake_case       ,  add_special_tokens=_snake_case )
																								tokenizer.save_pretrained(_snake_case )

																								UpperCAmelCase					=			tokenizer.__class__.from_pretrained(_snake_case )
																								UpperCAmelCase					=			after_tokenizer.encode(_snake_case       ,  add_special_tokens=_snake_case )
																								self.assertListEqual(_snake_case       ,  _snake_case )
																								self.assertIn('new_additional_special_token'       ,  after_tokenizer.additional_special_tokens )
																								self.assertEqual(after_tokenizer.model_max_length       ,  42 )

																								UpperCAmelCase					=			tokenizer.__class__.from_pretrained(_snake_case       ,  model_max_length=43 )
																								self.assertEqual(tokenizer.model_max_length       ,  43 )

																								shutil.rmtree(_snake_case )






						def      UpperCAmelCase__					( self			:List[str] )    ->      Dict:
												UpperCAmelCase					=			[]
												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(_snake_case )

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

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

																								UpperCAmelCase					=			[f"""<extra_id_{i}>""" for i in range(1_25 )]

																								UpperCAmelCase					=			added_tokens_extra_ids + [
																								    "an_additional_special_token"
																								]
																								UpperCAmelCase					=			added_tokens_extra_ids + [
																								    "an_additional_special_token"
																								]

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

																								# 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
																								UpperCAmelCase					=			tokenizer_class.from_pretrained(
																								    _snake_case       ,  )
																								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
																								UpperCAmelCase					=			added_tokens_extra_ids + [AddedToken('a_new_additional_special_token'       ,  lstrip=_snake_case )]
																								UpperCAmelCase					=			tokenizer_class.from_pretrained(
																								    _snake_case       ,  additional_special_tokens=_snake_case       ,  )

																								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      UpperCAmelCase__					( self			:List[str] )    ->      List[Any]:
												UpperCAmelCase					=			self.perceiver_tokenizer
												self.assertEqual(tokenizer.decode([1_78] )       ,  '�' )






						def      UpperCAmelCase__					( self			:Optional[int] )    ->      Dict:
												pass






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






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






						def      UpperCAmelCase__					( self			:int )    ->      Optional[int]:
												pass






						def      UpperCAmelCase__					( self			:Dict )    ->      Tuple:
												# The default common tokenizer tests uses invalid tokens for Perceiver that can only accept one-character
												# strings and special added tokens as tokens
												UpperCAmelCase					=			self.get_tokenizers(fast=_snake_case       ,  do_lower_case=_snake_case )
												for tokenizer in tokenizers:
																		with self.subTest(f"""{tokenizer.__class__.__name__}""" ):
																								UpperCAmelCase					=			["[CLS]", "t", "h", "i", "s", " ", "i", "s", " ", "a", " ", "t", "e", "s", "t", "[SEP]"]
																								UpperCAmelCase					=			tokenizer.convert_tokens_to_string(_snake_case )

																								self.assertIsInstance(_snake_case       ,  _snake_case )










"""simple docstring"""


def 			_lowerCAmelCase				(       lowercase_						):

						if not isinstance(lowercase_		,     lowercase_						):
												UpperCAmelCase					=			F"""Input value of [number={number}] must be an integer"""
												raise TypeError(lowercase_						)

						if number < 1:
												UpperCAmelCase					=			F"""Input value of [number={number}] must be > 0"""
												raise ValueError(lowercase_						)

						UpperCAmelCase					=			1

						for i in range(1		,     lowercase_						):
												current_number *= 4 * i - 2
												current_number //= i + 1

						return current_number


if __name__ == "__main__":
				import doctest

				doctest.testmod()





