


'''simple docstring'''





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							: Any      =   'pt'
elif is_tf_available():
						snake_case							: str      =   'tf'
else:
						snake_case							: Optional[int]      =   'jax'







class  snake_case_     (UpperCamelCase_			,		unittest.TestCase   ):
					UpperCAmelCase__      :					Optional[int]					   =    PerceiverTokenizer
					UpperCAmelCase__      :					int					   =    False
					def 				lowerCamelCase__(   self     :List[Any]   )      ->					Optional[Any]:
												super().setUp()
												a__    =  PerceiverTokenizer()
												tokenizer.save_pretrained(self.tmpdirname   )
					@cached_property
					def 				lowerCamelCase__(   self     :Optional[Any]   )      ->					Any:
												return PerceiverTokenizer.from_pretrained('deepmind/language-perceiver'   )
					def 				lowerCamelCase__(   self     :Optional[Any]    ,**__snake_case     :Union[str, Any]   )      ->					Optional[Any]:
												return self.tokenizer_class.from_pretrained(self.tmpdirname    ,**UpperCamelCase__   )
					def 				lowerCamelCase__(   self     :List[Any]    ,__snake_case     :List[Any]    ,__snake_case     :Union[str, Any]=False    ,__snake_case     :Tuple=20    ,__snake_case     :Dict=5   )      ->					Optional[Any]:
												a__    =  []
												for i in range(len(UpperCamelCase__   )   ):
																			try:
																										a__    =  tokenizer.decode([i]    ,clean_up_tokenization_spaces=UpperCamelCase__   )
																			except UnicodeDecodeError:
																										pass
																			toks.append((i, tok)   )

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

												# Ensure consistency
												a__    =  tokenizer.decode(UpperCamelCase__    ,clean_up_tokenization_spaces=UpperCamelCase__   )
												if " " not in output_txt and len(UpperCamelCase__   ) > 1:
																			a__    =  (
																			    tokenizer.decode([toks_ids[0]]    ,clean_up_tokenization_spaces=UpperCamelCase__   )
																			    + ''' '''
																			    + tokenizer.decode(toks_ids[1:]    ,clean_up_tokenization_spaces=UpperCamelCase__   )
																			)
												if with_prefix_space:
																			a__    =  ''' ''' + output_txt
												a__    =  tokenizer.encode(UpperCamelCase__    ,add_special_tokens=UpperCamelCase__   )
												return output_txt, output_ids
					def 				lowerCamelCase__(   self     :Optional[int]   )      ->					int:
												a__    =  self.perceiver_tokenizer
												a__    =  '''Unicode €.'''
												a__    =  tokenizer(UpperCamelCase__   )
												a__    =  [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']    ,UpperCamelCase__   )

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

												a__    =  tokenizer('e è é ê ë'   )
												a__    =  [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']    ,UpperCamelCase__   )
												# decoding
												a__    =  tokenizer.decode(UpperCamelCase__   )
												self.assertEqual(UpperCamelCase__    ,'[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 				lowerCamelCase__(   self     :Union[str, Any]   )      ->					str:
												a__    =  self.perceiver_tokenizer
												a__    =  ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
												# fmt: off
												a__    =  [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
												a__    =  tokenizer(UpperCamelCase__    ,padding=UpperCamelCase__    ,return_tensors=UpperCamelCase__   )
												self.assertIsInstance(UpperCamelCase__    ,UpperCamelCase__   )

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

												self.assertListEqual(UpperCamelCase__    ,UpperCamelCase__   )

												self.assertEqual((2, 38)    ,batch.input_ids.shape   )
												self.assertEqual((2, 38)    ,batch.attention_mask.shape   )
					def 				lowerCamelCase__(   self     :List[str]   )      ->					Union[str, Any]:
												a__    =  self.perceiver_tokenizer
												a__    =  ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
												a__    =  tokenizer(UpperCamelCase__    ,padding=UpperCamelCase__    ,return_tensors=UpperCamelCase__   )
												# check if input_ids are returned and no decoder_input_ids
												self.assertIn('input_ids'    ,UpperCamelCase__   )
												self.assertIn('attention_mask'    ,UpperCamelCase__   )
												self.assertNotIn('decoder_input_ids'    ,UpperCamelCase__   )
												self.assertNotIn('decoder_attention_mask'    ,UpperCamelCase__   )
					def 				lowerCamelCase__(   self     :Any   )      ->					Tuple:
												a__    =  self.perceiver_tokenizer
												a__    =  [
												    '''Summary of the text.''',
												    '''Another summary.''',
												]
												a__    =  tokenizer(
												    text_target=UpperCamelCase__    ,max_length=32    ,padding='max_length'    ,truncation=UpperCamelCase__    ,return_tensors=UpperCamelCase__   )
												self.assertEqual(32    ,targets['input_ids'].shape[1]   )
					def 				lowerCamelCase__(   self     :List[Any]   )      ->					str:
												a__    =  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
												a__    =  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
																										a__    =  tempfile.mkdtemp()

																										a__    =  ''' He is very happy, UNwant\u00E9d,running'''
																										a__    =  tokenizer.encode(UpperCamelCase__    ,add_special_tokens=UpperCamelCase__   )
																										tokenizer.save_pretrained(UpperCamelCase__   )

																										a__    =  tokenizer.__class__.from_pretrained(UpperCamelCase__   )
																										a__    =  after_tokenizer.encode(UpperCamelCase__    ,add_special_tokens=UpperCamelCase__   )
																										self.assertListEqual(UpperCamelCase__    ,UpperCamelCase__   )

																										shutil.rmtree(UpperCamelCase__   )

												a__    =  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
																										a__    =  tempfile.mkdtemp()

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

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

																										a__    =  tokenizer.__class__.from_pretrained(UpperCamelCase__    ,model_max_length=43   )
																										self.assertEqual(tokenizer.model_max_length    ,43   )

																										shutil.rmtree(UpperCamelCase__   )
					def 				lowerCamelCase__(   self     :Optional[int]   )      ->					Union[str, Any]:
												a__    =  []
												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(UpperCamelCase__   )

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

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

																										a__    =  [F'<extra_id_{i}>' for i in range(1_25   )]

																										a__    =  added_tokens_extra_ids + [
																										    '''an_additional_special_token'''
																										]
																										a__    =  added_tokens_extra_ids + [
																										    '''an_additional_special_token'''
																										]

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

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

																										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 				lowerCamelCase__(   self     :str   )      ->					Any:
												a__    =  self.perceiver_tokenizer
												self.assertEqual(tokenizer.decode([1_78]   )    ,'�'   )
					def 				lowerCamelCase__(   self     :Union[str, Any]   )      ->					List[str]:
												pass
					def 				lowerCamelCase__(   self     :Union[str, Any]   )      ->					Dict:
												pass
					def 				lowerCamelCase__(   self     :Optional[Any]   )      ->					str:
												pass
					def 				lowerCamelCase__(   self     :List[str]   )      ->					Dict:
												pass



					def 				lowerCamelCase__(   self     :Union[str, Any]   )      ->					Any:
												a__    =  self.get_tokenizers(fast=UpperCamelCase__    ,do_lower_case=UpperCamelCase__   )
												for tokenizer in tokenizers:
																			with self.subTest(F'{tokenizer.__class__.__name__}'   ):
																										a__    =  ['''[CLS]''', '''t''', '''h''', '''i''', '''s''', ''' ''', '''i''', '''s''', ''' ''', '''a''', ''' ''', '''t''', '''e''', '''s''', '''t''', '''[SEP]''']
																										a__    =  tokenizer.convert_tokens_to_string(UpperCamelCase__   )

																										self.assertIsInstance(UpperCamelCase__    ,UpperCamelCase__   )








def 							__lowercase     (				__lowerCAmelCase							:       int = 2_0_0     ):
							a__    =  [1, 2, 5, 1_0, 2_0, 5_0, 1_0_0, 2_0_0]
							a__    =  [0] * (pence + 1)
							a__    =  1  # base case: 1 way to make 0 pence

							for coin in coins:
														for i in range(__lowerCAmelCase      ,					pence + 1      ,					1     ):
																					number_of_ways[i] += number_of_ways[i - coin]
							return number_of_ways[pence]


if __name__ == "__main__":
						assert solution(2_00) == 7_36_82




