


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 			lowerCamelCase_		(			__A       ,  unittest.TestCase   ):





				"""simple docstring"""







				_lowerCAmelCase      :      Union[str, Any]      							=					ByTaTokenizer
				_lowerCAmelCase      :      str      							=					False



				def   lowerCAmelCase__		(						self     ):
								super().setUp()
								SCREAMING_SNAKE_CASE__     							=				ByTaTokenizer()
								tokenizer.save_pretrained(self.tmpdirname     )



				@cached_property
				def   lowerCAmelCase__		(						self     ):
								return ByTaTokenizer.from_pretrained("google/byt5-small"     )



				def   lowerCAmelCase__		(						self       ,		**UpperCAmelCase__     ):
								return self.tokenizer_class.from_pretrained(self.tmpdirname       ,		**UpperCamelCase__     )



				def   lowerCAmelCase__		(						self       ,		UpperCAmelCase__       ,		UpperCAmelCase__=False       ,		UpperCAmelCase__=20       ,		UpperCAmelCase__=5     ):
								# 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.

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

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

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



				def   lowerCAmelCase__		(						self     ):
								SCREAMING_SNAKE_CASE__     							=				self.ta_base_tokenizer
								SCREAMING_SNAKE_CASE__     							=				tokenizer(["hi</s>", "I went to the gym</s>", "</s>"]     )
								SCREAMING_SNAKE_CASE__     							=				tokenizer(["hi", "I went to the gym", ""]     )
								self.assertListEqual(batch_with_eos_added["input_ids"]       ,		batch_without_eos_added["input_ids"]     )



				def   lowerCAmelCase__		(						self     ):
								SCREAMING_SNAKE_CASE__     							=				self.ta_base_tokenizer
								SCREAMING_SNAKE_CASE__     							=				'Unicode €.'
								SCREAMING_SNAKE_CASE__     							=				tokenizer(UpperCamelCase__     )
								SCREAMING_SNAKE_CASE__     							=				[88, 113, 108, 102, 114, 103, 104, 35, 229, 133, 175, 49, 1]
								self.assertEqual(encoded["input_ids"]       ,		UpperCamelCase__     )

								# decoding
								SCREAMING_SNAKE_CASE__     							=				tokenizer.decode(UpperCamelCase__     )
								self.assertEqual(UpperCamelCase__       ,		"Unicode €.</s>"     )

								SCREAMING_SNAKE_CASE__     							=				tokenizer("e è é ê ë"     )
								SCREAMING_SNAKE_CASE__     							=				[104, 35, 198, 171, 35, 198, 172, 35, 198, 173, 35, 198, 174, 1]
								self.assertEqual(encoded["input_ids"]       ,		UpperCamelCase__     )
								# decoding
								SCREAMING_SNAKE_CASE__     							=				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   lowerCAmelCase__		(						self     ):
								SCREAMING_SNAKE_CASE__     							=				self.ta_base_tokenizer
								SCREAMING_SNAKE_CASE__     							=				['A long paragraph for summarization.', 'Another paragraph for summarization.']
								# fmt: off
								SCREAMING_SNAKE_CASE__     							=				[68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 1, 0]
								# fmt: on
								SCREAMING_SNAKE_CASE__     							=				tokenizer(UpperCamelCase__       ,		padding=UpperCamelCase__       ,		return_tensors=UpperCamelCase__     )
								self.assertIsInstance(UpperCamelCase__       ,		UpperCamelCase__     )

								if FRAMEWORK != "jax":
												SCREAMING_SNAKE_CASE__     							=				list(batch.input_ids.numpy()[0]     )
								else:
												SCREAMING_SNAKE_CASE__     							=				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   lowerCAmelCase__		(						self     ):
								SCREAMING_SNAKE_CASE__     							=				self.ta_base_tokenizer
								SCREAMING_SNAKE_CASE__     							=				['A long paragraph for summarization.', 'Another paragraph for summarization.']
								SCREAMING_SNAKE_CASE__     							=				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     ):
								SCREAMING_SNAKE_CASE__     							=				self.ta_base_tokenizer
								SCREAMING_SNAKE_CASE__     							=				[
								    'Summary of the text.',
								    'Another summary.',
								]
								SCREAMING_SNAKE_CASE__     							=				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     ):
								SCREAMING_SNAKE_CASE__     							=				self.ta_base_tokenizer
								SCREAMING_SNAKE_CASE__     							=				['A long paragraph for summarization. </s>']
								SCREAMING_SNAKE_CASE__     							=				['Summary of the text. </s>']
								# fmt: off
								SCREAMING_SNAKE_CASE__     							=				[68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 35, 1]
								SCREAMING_SNAKE_CASE__     							=				[86, 120, 112, 112, 100, 117, 124, 35, 114, 105, 35, 119, 107, 104, 35, 119, 104, 123, 119, 49, 35, 1]
								# fmt: on

								SCREAMING_SNAKE_CASE__     							=				tokenizer(UpperCamelCase__       ,		text_target=UpperCamelCase__     )

								self.assertEqual(UpperCamelCase__       ,		batch["input_ids"][0]     )
								self.assertEqual(UpperCamelCase__       ,		batch["labels"][0]     )



				def   lowerCAmelCase__		(						self     ):
								# safety check on max_len default value so we are sure the test works
								SCREAMING_SNAKE_CASE__     							=				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__     							=				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__     							=				tempfile.mkdtemp()

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

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

																shutil.rmtree(UpperCamelCase__     )

								SCREAMING_SNAKE_CASE__     							=				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__     							=				tempfile.mkdtemp()

																SCREAMING_SNAKE_CASE__     							=				' He is very happy, UNwant\u00E9d,running'
																tokenizer.add_tokens(["bim", "bambam"]     )
																SCREAMING_SNAKE_CASE__     							=				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__     							=				tokenizer.encode(UpperCamelCase__       ,		add_special_tokens=UpperCamelCase__     )
																tokenizer.save_pretrained(UpperCamelCase__     )

																SCREAMING_SNAKE_CASE__     							=				tokenizer.__class__.from_pretrained(UpperCamelCase__     )
																SCREAMING_SNAKE_CASE__     							=				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     )

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

																shutil.rmtree(UpperCamelCase__     )



				def   lowerCAmelCase__		(						self     ):
								SCREAMING_SNAKE_CASE__     							=				[]
								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:
																				SCREAMING_SNAKE_CASE__     							=				json.load(UpperCamelCase__     )

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

																SCREAMING_SNAKE_CASE__     							=				[f'''<extra_id_{i}>''' for i in range(125     )]

																SCREAMING_SNAKE_CASE__     							=				added_tokens_extra_ids + [
																    'an_additional_special_token'
																]
																SCREAMING_SNAKE_CASE__     							=				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
																SCREAMING_SNAKE_CASE__     							=				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
																SCREAMING_SNAKE_CASE__     							=				added_tokens_extra_ids + [AddedToken("a_new_additional_special_token"       ,		lstrip=UpperCamelCase__     )]
																SCREAMING_SNAKE_CASE__     							=				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     ):
								SCREAMING_SNAKE_CASE__     							=				[]
								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__     )

																SCREAMING_SNAKE_CASE__     							=				tokenizer_class.from_pretrained(UpperCamelCase__     )

																self.assertTrue(tokenizer.decode([255]     ) == ""     )



				def   lowerCAmelCase__		(						self     ):
								pass



				def   lowerCAmelCase__		(						self     ):
								pass



				def   lowerCAmelCase__		(						self     ):
								pass



				def   lowerCAmelCase__		(						self     ):
								pass



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

																self.assertIsInstance(UpperCamelCase__       ,		UpperCamelCase__     )






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

																SCREAMING_SNAKE_CASE__     							=				0
																SCREAMING_SNAKE_CASE__     							=				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]     )




"""simple docstring"""






from math import pi


def __lowercase     (      lowerCamelCase_  :      int						,					lowerCamelCase_  :      int  ):
				return 2 * pi * radius * (angle / 360)


if __name__ == "__main__":
	print(arc_length(90, 10))
