"""simple docstring"""




import math






def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__				):






       """simple docstring"""





       if (
           not isinstance(UpperCamelCase__       ,    (int, float)				)
           or power_factor < -1
           or power_factor > 1
       ):
              raise ValueError('power_factor must be a valid float value between -1 and 1.'				)
       return apparent_power * power_factor






def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__				):






       """simple docstring"""





       if (
           not isinstance(UpperCamelCase__       ,    (int, float)				)
           or power_factor < -1
           or power_factor > 1
       ):
              raise ValueError('power_factor must be a valid float value between -1 and 1.'				)
       return apparent_power * math.sqrt(1 - power_factor**2				)


if __name__ == "__main__":
    import doctest

    doctest.testmod()






"""simple docstring"""




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

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

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
				__lowerCamelCase											=  "pt"
elif is_tf_available():
				__lowerCamelCase											=  "tf"
else:
				__lowerCamelCase											=  "jax"
class     UpperCamelCase__(			__A		,						unittest.TestCase ):
						lowerCAmelCase__  :						List[Any]													=		ByTaTokenizer
						lowerCAmelCase__  :						str													=		False





						def 				snake_case__	(       self     )					->				int:
													super().setUp()
													A__	     =							ByTaTokenizer()
													tokenizer.save_pretrained(self.tmpdirname     )





						@cached_property
						def 				snake_case__	(       self     )					->				List[Any]:
													return ByTaTokenizer.from_pretrained('google/byt5-small'     )





						def 				snake_case__	(       self		,**__UpperCAmelCase     )					->				ByTaTokenizer:
													return self.tokenizer_class.from_pretrained(self.tmpdirname		,**__UpperCAmelCase     )





						def 				snake_case__	(       self		,__UpperCAmelCase		,__UpperCAmelCase=False		,__UpperCAmelCase=20		,__UpperCAmelCase=5     )					->				Tuple[str, list]:
													# XXX The default common tokenizer tests assume that every ID is decodable on its own.
													# This assumption is invalid for ByT5 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.

													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 __UpperCAmelCase     : re.match(R'^[ a-zA-Z]+$'		,t[1]     )		,__UpperCAmelCase     )     )
													A__	     =							list(filter(lambda __UpperCAmelCase     : [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 				snake_case__	(       self     )					->				Dict:
													A__	     =							self.ta_base_tokenizer
													A__	     =							tokenizer(['hi</s>', 'I went to the gym</s>', '</s>']     )
													A__	     =							tokenizer(['hi', 'I went to the gym', '']     )
													self.assertListEqual(batch_with_eos_added['input_ids']		,batch_without_eos_added['input_ids']     )





						def 				snake_case__	(       self     )					->				Dict:
													A__	     =							self.ta_base_tokenizer
													A__	     =							'Unicode €.'
													A__	     =							tokenizer(__UpperCAmelCase     )
													A__	     =							[88, 1_13, 1_08, 1_02, 1_14, 1_03, 1_04, 35, 2_29, 1_33, 1_75, 49, 1]
													self.assertEqual(encoded['input_ids']		,__UpperCAmelCase     )

													# decoding
													A__	     =							tokenizer.decode(__UpperCAmelCase     )
													self.assertEqual(__UpperCAmelCase		,'Unicode €.</s>'     )

													A__	     =							tokenizer('e è é ê ë'     )
													A__	     =							[1_04, 35, 1_98, 1_71, 35, 1_98, 1_72, 35, 1_98, 1_73, 35, 1_98, 1_74, 1]
													self.assertEqual(encoded['input_ids']		,__UpperCAmelCase     )
													# decoding
													A__	     =							tokenizer.decode(__UpperCAmelCase     )
													self.assertEqual(__UpperCAmelCase		,'e è é ê ë</s>'     )

													# encode/decode, but with `encode` instead of `__call__`
													self.assertEqual(tokenizer.decode(tokenizer.encode('e è é ê ë'     )     )		,'e è é ê ë</s>'     )





						def 				snake_case__	(       self     )					->				Optional[int]:
													A__	     =							self.ta_base_tokenizer
													A__	     =							['A long paragraph for summarization.', 'Another paragraph for summarization.']
													# fmt: off
													A__	     =							[68, 35, 1_11, 1_14, 1_13, 1_06, 35, 1_15, 1_00, 1_17, 1_00, 1_06, 1_17, 1_00, 1_15, 1_07, 35, 1_05, 1_14, 1_17, 35, 1_18, 1_20, 1_12, 1_12, 1_00, 1_17, 1_08, 1_25, 1_00, 1_19, 1_08, 1_14, 1_13, 49, 1, 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, 37)		,batch.input_ids.shape     )
													self.assertEqual((2, 37)		,batch.attention_mask.shape     )





						def 				snake_case__	(       self     )					->				List[str]:
													A__	     =							self.ta_base_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 				snake_case__	(       self     )					->				Any:
													A__	     =							self.ta_base_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 				snake_case__	(       self     )					->				Optional[int]:
													A__	     =							self.ta_base_tokenizer
													A__	     =							['A long paragraph for summarization. </s>']
													A__	     =							['Summary of the text. </s>']
													# fmt: off
													A__	     =							[68, 35, 1_11, 1_14, 1_13, 1_06, 35, 1_15, 1_00, 1_17, 1_00, 1_06, 1_17, 1_00, 1_15, 1_07, 35, 1_05, 1_14, 1_17, 35, 1_18, 1_20, 1_12, 1_12, 1_00, 1_17, 1_08, 1_25, 1_00, 1_19, 1_08, 1_14, 1_13, 49, 35, 1]
													A__	     =							[86, 1_20, 1_12, 1_12, 1_00, 1_17, 1_24, 35, 1_14, 1_05, 35, 1_19, 1_07, 1_04, 35, 1_19, 1_04, 1_23, 1_19, 49, 35, 1]
													# fmt: on

													A__	     =							tokenizer(__UpperCAmelCase		,text_target=__UpperCAmelCase     )

													self.assertEqual(__UpperCAmelCase		,batch['input_ids'][0]     )
													self.assertEqual(__UpperCAmelCase		,batch['labels'][0]     )





						def 				snake_case__	(       self     )					->				Tuple:
													# safety check on max_len default value so we are sure the test works
													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 				snake_case__	(       self     )					->				Optional[int]:
													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.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
																											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 				snake_case__	(       self     )					->				str:
													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     )

																											A__	     =							tokenizer_class.from_pretrained(__UpperCAmelCase     )

																											self.assertTrue(tokenizer.decode([2_55]     ) == ''     )





						def 				snake_case__	(       self     )					->				Any:
													pass





						def 				snake_case__	(       self     )					->				Any:
													pass





						def 				snake_case__	(       self     )					->				str:
													pass





						def 				snake_case__	(       self     )					->				int:
													pass





						def 				snake_case__	(       self     )					->				Dict:
													# The default common tokenizer tests uses invalid tokens for ByT5 that can only accept one-character strings
													# and special added tokens as tokens
													A__	     =							self.get_tokenizers(fast=__UpperCAmelCase		,do_lower_case=__UpperCAmelCase     )
													for tokenizer in tokenizers:
																				with self.subTest(f'''{tokenizer.__class__.__name__}'''     ):
																											A__	     =							['t', 'h', 'i', 's', ' ', 'i', 's', ' ', 'a', ' ', 't', 'e', 'x', 't', '</s>']
																											A__	     =							tokenizer.convert_tokens_to_string(__UpperCAmelCase     )

																											self.assertIsInstance(__UpperCAmelCase		,__UpperCAmelCase     )





						def 				snake_case__	(       self     )					->				Tuple:
													A__	     =							self.get_tokenizers()
													for tokenizer in tokenizers:
																				with self.subTest(f'''{tokenizer.__class__.__name__}'''     ):
																											A__	     =							[
																											    'bos_token',
																											    'eos_token',
																											    'unk_token',
																											    'sep_token',
																											    'pad_token',
																											    'cls_token',
																											    'mask_token',
																											]

																											A__	     =							0
																											A__	     =							tokenizer.convert_ids_to_tokens(
																											    __UpperCAmelCase		,skip_special_tokens=__UpperCAmelCase     )

																											for attr in attributes_list:
																																		setattr(__UpperCAmelCase		,attr + '_id'		,__UpperCAmelCase     )
																																		self.assertEqual(getattr(__UpperCAmelCase		,__UpperCAmelCase     )		,__UpperCAmelCase     )
																																		self.assertEqual(getattr(__UpperCAmelCase		,attr + '_id'     )		,__UpperCAmelCase     )

																																		setattr(__UpperCAmelCase		,attr + '_id'		,__UpperCAmelCase     )
																																		self.assertEqual(getattr(__UpperCAmelCase		,__UpperCAmelCase     )		,__UpperCAmelCase     )
																																		self.assertEqual(getattr(__UpperCAmelCase		,attr + '_id'     )		,__UpperCAmelCase     )

																											setattr(__UpperCAmelCase		,'additional_special_tokens_ids'		,[]     )
																											self.assertListEqual(getattr(__UpperCAmelCase		,'additional_special_tokens'     )		,[]     )
																											self.assertListEqual(getattr(__UpperCAmelCase		,'additional_special_tokens_ids'     )		,[]     )

																											setattr(__UpperCAmelCase		,'additional_special_tokens_ids'		,[token_id_to_test_setters]     )
																											self.assertListEqual(getattr(__UpperCAmelCase		,'additional_special_tokens'     )		,[token_to_test_setters]     )
																											self.assertListEqual(getattr(__UpperCAmelCase		,'additional_special_tokens_ids'     )		,[token_id_to_test_setters]     )





