






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():
					SCREAMING_SNAKE_CASE__      :			str							=		"""pt"""
elif is_tf_available():
					SCREAMING_SNAKE_CASE__      :			Optional[Any]							=		"""tf"""
else:
					SCREAMING_SNAKE_CASE__      :			Optional[int]							=		"""jax"""
class 						lowerCamelCase_				(      lowerCamelCase			,				unittest.TestCase ):
				a__					       =  PerceiverTokenizer
				a__					       =  False







				def 			A	(						self     ):
								"""simple docstring"""
								super().setUp()
								__magic_name__		:Optional[int]        =      PerceiverTokenizer()
								tokenizer.save_pretrained(self.tmpdirname     )







				@cached_property
				def 			A	(						self     ):
								"""simple docstring"""
								return PerceiverTokenizer.from_pretrained('''deepmind/language-perceiver'''     )







				def 			A	(						self       ,					**__lowerCAmelCase     ):
								"""simple docstring"""
								return self.tokenizer_class.from_pretrained(self.tmpdirname       ,					**__lowerCAmelCase     )







				def 			A	(						self       ,					__lowerCAmelCase       ,					__lowerCAmelCase=False       ,					__lowerCAmelCase=2_0       ,					__lowerCAmelCase=5     ):
								"""simple docstring"""
								# 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.

								__magic_name__		:Optional[int]        =      []
								for i in range(len(__lowerCAmelCase     )     ):
												try:
																__magic_name__		:Union[str, Any]        =      tokenizer.decode([i]       ,					clean_up_tokenization_spaces=__lowerCAmelCase     )
												except UnicodeDecodeError:
																pass
												toks.append((i, tok)     )

								__magic_name__		:Tuple        =      list(filter(lambda __lowerCAmelCase     : re.match(R'''^[ a-zA-Z]+$'''       ,					t[1]     )       ,					__lowerCAmelCase     )     )
								__magic_name__		:Optional[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:
												__magic_name__		:List[Any]        =      toks[:max_length]
								if min_length is not None and len(__lowerCAmelCase     ) < min_length and len(__lowerCAmelCase     ) > 0:
												while len(__lowerCAmelCase     ) < min_length:
																__magic_name__		:Dict        =      toks + toks
        # toks_str = [t[1] for t in toks]
								__magic_name__		:int        =      [t[0] for t in toks]

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







				def 			A	(						self     ):
								"""simple docstring"""
								__magic_name__		:Any        =      self.perceiver_tokenizer
								__magic_name__		:Tuple        =      '''Unicode €.'''
								__magic_name__		:List[Any]        =      tokenizer(__lowerCAmelCase     )
								__magic_name__		:Union[str, Any]        =      [4, 9_1, 1_1_6, 1_1_1, 1_0_5, 1_1_7, 1_0_6, 1_0_7, 3_8, 2_3_2, 1_3_6, 1_7_8, 5_2, 5]
								self.assertEqual(encoded['''input_ids''']       ,					__lowerCAmelCase     )

								# decoding
								__magic_name__		:Union[str, Any]        =      tokenizer.decode(__lowerCAmelCase     )
								self.assertEqual(__lowerCAmelCase       ,					'''[CLS]Unicode €.[SEP]'''     )

								__magic_name__		:List[Any]        =      tokenizer('''e è é ê ë'''     )
								__magic_name__		:List[str]        =      [4, 1_0_7, 3_8, 2_0_1, 1_7_4, 3_8, 2_0_1, 1_7_5, 3_8, 2_0_1, 1_7_6, 3_8, 2_0_1, 1_7_7, 5]
								self.assertEqual(encoded['''input_ids''']       ,					__lowerCAmelCase     )
								# decoding
								__magic_name__		:List[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 			A	(						self     ):
								"""simple docstring"""
								__magic_name__		:int        =      self.perceiver_tokenizer
								__magic_name__		:List[str]        =      ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
								# fmt: off
								__magic_name__		:List[str]        =      [4, 7_1, 3_8, 1_1_4, 1_1_7, 1_1_6, 1_0_9, 3_8, 1_1_8, 1_0_3, 1_2_0, 1_0_3, 1_0_9, 1_2_0, 1_0_3, 1_1_8, 1_1_0, 3_8, 1_0_8, 1_1_7, 1_2_0, 3_8, 1_2_1, 1_2_3, 1_1_5, 1_1_5, 1_0_3, 1_2_0, 1_1_1, 1_2_8, 1_0_3, 1_2_2, 1_1_1, 1_1_7, 1_1_6, 5_2, 5, 0]
								# fmt: on
								__magic_name__		:Optional[int]        =      tokenizer(__lowerCAmelCase       ,					padding=__lowerCAmelCase       ,					return_tensors=__lowerCAmelCase     )
								self.assertIsInstance(__lowerCAmelCase       ,					__lowerCAmelCase     )

								if FRAMEWORK != "jax":
												__magic_name__		:List[str]        =      list(batch.input_ids.numpy()[0]     )
								else:
												__magic_name__		:Optional[int]        =      list(batch.input_ids.tolist()[0]     )

								self.assertListEqual(__lowerCAmelCase       ,					__lowerCAmelCase     )

								self.assertEqual((2, 3_8)       ,					batch.input_ids.shape     )
								self.assertEqual((2, 3_8)       ,					batch.attention_mask.shape     )







				def 			A	(						self     ):
								"""simple docstring"""
								__magic_name__		:Union[str, Any]        =      self.perceiver_tokenizer
								__magic_name__		:Dict        =      ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
								__magic_name__		:Dict        =      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 			A	(						self     ):
								"""simple docstring"""
								__magic_name__		:Dict        =      self.perceiver_tokenizer
								__magic_name__		:Optional[int]        =      [
								    '''Summary of the text.''',
								    '''Another summary.''',
								]
								__magic_name__		:int        =      tokenizer(
								    text_target=__lowerCAmelCase       ,					max_length=3_2       ,					padding='''max_length'''       ,					truncation=__lowerCAmelCase       ,					return_tensors=__lowerCAmelCase     )
								self.assertEqual(3_2       ,					targets['''input_ids'''].shape[1]     )







				def 			A	(						self     ):
								"""simple docstring"""
								# safety check on max_len default value so we are sure the test works
								__magic_name__		:List[str]        =      self.get_tokenizers()
								for tokenizer in tokenizers:
												with self.subTest(F'''{tokenizer.__class__.__name__}'''     ):
																self.assertNotEqual(tokenizer.model_max_length       ,					4_2     )

        # Now let's start the test
								__magic_name__		:Dict        =      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
																__magic_name__		:Optional[int]        =      tempfile.mkdtemp()

																__magic_name__		:List[str]        =      ''' He is very happy, UNwant\u00E9d,running'''
																__magic_name__		:Optional[Any]        =      tokenizer.encode(__lowerCAmelCase       ,					add_special_tokens=__lowerCAmelCase     )
																tokenizer.save_pretrained(__lowerCAmelCase     )

																__magic_name__		:int        =      tokenizer.__class__.from_pretrained(__lowerCAmelCase     )
																__magic_name__		:int        =      after_tokenizer.encode(__lowerCAmelCase       ,					add_special_tokens=__lowerCAmelCase     )
																self.assertListEqual(__lowerCAmelCase       ,					__lowerCAmelCase     )

																shutil.rmtree(__lowerCAmelCase     )

								__magic_name__		:Tuple        =      self.get_tokenizers(model_max_length=4_2     )
								for tokenizer in tokenizers:
												with self.subTest(F'''{tokenizer.__class__.__name__}'''     ):
																# Isolate this from the other tests because we save additional tokens/etc
																__magic_name__		:Any        =      tempfile.mkdtemp()

																__magic_name__		:Dict        =      ''' He is very happy, UNwant\u00E9d,running'''
																tokenizer.add_tokens(['''bim''', '''bambam''']     )
																__magic_name__		:Optional[Any]        =      tokenizer.additional_special_tokens
																additional_special_tokens.append('''new_additional_special_token'''     )
																tokenizer.add_special_tokens({'''additional_special_tokens''': additional_special_tokens}     )
																__magic_name__		:Tuple        =      tokenizer.encode(__lowerCAmelCase       ,					add_special_tokens=__lowerCAmelCase     )
																tokenizer.save_pretrained(__lowerCAmelCase     )

																__magic_name__		:Optional[int]        =      tokenizer.__class__.from_pretrained(__lowerCAmelCase     )
																__magic_name__		: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       ,					4_2     )

																__magic_name__		:Optional[int]        =      tokenizer.__class__.from_pretrained(__lowerCAmelCase       ,					model_max_length=4_3     )
																self.assertEqual(tokenizer.model_max_length       ,					4_3     )

																shutil.rmtree(__lowerCAmelCase     )







				def 			A	(						self     ):
								"""simple docstring"""
								__magic_name__		:List[Any]        =      []
								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:
																				__magic_name__		:List[Any]        =      json.load(__lowerCAmelCase     )

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

																__magic_name__		:Optional[int]        =      [F'''<extra_id_{i}>''' for i in range(1_2_5     )]

																__magic_name__		:List[str]        =      added_tokens_extra_ids + [
																    '''an_additional_special_token'''
																]
																__magic_name__		:Union[str, Any]        =      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
																__magic_name__		:Optional[Any]        =      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
																__magic_name__		:Any        =      added_tokens_extra_ids + [AddedToken('''a_new_additional_special_token'''       ,					lstrip=__lowerCAmelCase     )]
																__magic_name__		:str        =      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 			A	(						self     ):
								"""simple docstring"""
								__magic_name__		:Tuple        =      self.perceiver_tokenizer
								self.assertEqual(tokenizer.decode([1_7_8]     )       ,					'''�'''     )







				def 			A	(						self     ):
								"""simple docstring"""
								pass







				def 			A	(						self     ):
								"""simple docstring"""
								pass







				def 			A	(						self     ):
								"""simple docstring"""
								pass







				def 			A	(						self     ):
								"""simple docstring"""
								pass







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

																self.assertIsInstance(__lowerCAmelCase       ,					__lowerCAmelCase     )














from __future__ import annotations

from math import pi, sqrt

def      __lowercase					( snake_case,  snake_case ):







				"""simple docstring"""






				if inductance <= 0:
								raise ValueError('''Inductance cannot be 0 or negative''' )

				elif capacitance <= 0:
								raise ValueError('''Capacitance cannot be 0 or negative''' )

				else:
								return (
								    "Resonant frequency",
								    float(1 / (2 * pi * (sqrt(inductance * capacitance ))) ),
								)


if __name__ == "__main__":
					import doctest

					doctest.testmod()






