
"""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():
		UpperCamelCase_					:						Tuple				= '''pt'''
elif is_tf_available():
		UpperCamelCase_					:						List[str]				= '''tf'''
else:
		UpperCamelCase_					:						str				= '''jax'''



class __lowerCAmelCase				(					_lowercase     ,				unittest.TestCase      ):




			"""simple docstring"""







			snake_case	      =				ByTaTokenizer
			snake_case	      =				False




			def      lowerCamelCase__     (				self						:					int	)      -> Optional[int]:







								"""simple docstring"""
								super().setUp()
								A_				 =						ByTaTokenizer()
								tokenizer.save_pretrained(self.tmpdirname	)




			@cached_property
			def      lowerCamelCase__     (				self						:					Union[str, Any]	)      -> List[str]:







								"""simple docstring"""
								return ByTaTokenizer.from_pretrained("google/byt5-small"	)




			def      lowerCamelCase__     (				self						:					List[str]       ,   **_snake_case						:					str	)      -> ByTaTokenizer:







								"""simple docstring"""
								return self.tokenizer_class.from_pretrained(self.tmpdirname       ,   **_snake_case	)




			def      lowerCamelCase__     (				self						:					Optional[Any]       ,   _snake_case						:					int       ,   _snake_case						:					str=False       ,   _snake_case						:					Any=20       ,   _snake_case						:					Any=5	)      -> Tuple[str, list]:







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

								A_				 =						list(filter(lambda _snake_case	: re.match(R"^[ a-zA-Z]+$"       ,   t[1]	)       ,   _snake_case	)	)
								A_				 =						list(filter(lambda _snake_case	: [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:
													A_				 =						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:
																		A_				 =						toks + toks
        # toks_str = [t[1] for t in toks]
								A_				 =						[t[0] for t in toks]

								# Ensure consistency
								A_				 =						tokenizer.decode(_snake_case       ,   clean_up_tokenization_spaces=_snake_case	)
								if " " not in output_txt and len(_snake_case	) > 1:
													A_				 =						(
													    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:
													A_				 =						" " + output_txt
								A_				 =						tokenizer.encode(_snake_case       ,   add_special_tokens=_snake_case	)
								return output_txt, output_ids




			def      lowerCamelCase__     (				self						:					Union[str, Any]	)      -> Optional[int]:







								"""simple docstring"""
								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      lowerCamelCase__     (				self						:					Dict	)      -> str:







								"""simple docstring"""
								A_				 =						self.ta_base_tokenizer
								A_				 =						"Unicode €."
								A_				 =						tokenizer(_snake_case	)
								A_				 =						[88, 113, 108, 102, 114, 103, 104, 35, 229, 133, 175, 49, 1]
								self.assertEqual(encoded["input_ids"]       ,   _snake_case	)

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

								A_				 =						tokenizer("e è é ê ë"	)
								A_				 =						[104, 35, 198, 171, 35, 198, 172, 35, 198, 173, 35, 198, 174, 1]
								self.assertEqual(encoded["input_ids"]       ,   _snake_case	)
								# decoding
								A_				 =						tokenizer.decode(_snake_case	)
								self.assertEqual(_snake_case       ,   "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						:					Union[str, Any]	)      -> List[Any]:







								"""simple docstring"""
								A_				 =						self.ta_base_tokenizer
								A_				 =						["A long paragraph for summarization.", "Another paragraph for summarization."]
								# fmt: off
								A_				 =						[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
								A_				 =						tokenizer(_snake_case       ,   padding=_snake_case       ,   return_tensors=_snake_case	)
								self.assertIsInstance(_snake_case       ,   _snake_case	)

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

								self.assertListEqual(_snake_case       ,   _snake_case	)

								self.assertEqual((2, 37)       ,   batch.input_ids.shape	)
								self.assertEqual((2, 37)       ,   batch.attention_mask.shape	)




			def      lowerCamelCase__     (				self						:					Dict	)      -> List[Any]:







								"""simple docstring"""
								A_				 =						self.ta_base_tokenizer
								A_				 =						["A long paragraph for summarization.", "Another paragraph for summarization."]
								A_				 =						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      lowerCamelCase__     (				self						:					str	)      -> Any:







								"""simple docstring"""
								A_				 =						self.ta_base_tokenizer
								A_				 =						[
								    "Summary of the text.",
								    "Another summary.",
								]
								A_				 =						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      lowerCamelCase__     (				self						:					List[str]	)      -> Dict:







								"""simple docstring"""
								A_				 =						self.ta_base_tokenizer
								A_				 =						["A long paragraph for summarization. </s>"]
								A_				 =						["Summary of the text. </s>"]
								# fmt: off
								A_				 =						[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]
								A_				 =						[86, 120, 112, 112, 100, 117, 124, 35, 114, 105, 35, 119, 107, 104, 35, 119, 104, 123, 119, 49, 35, 1]
								# fmt: on

								A_				 =						tokenizer(_snake_case       ,   text_target=_snake_case	)

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




			def      lowerCamelCase__     (				self						:					Optional[int]	)      -> Any:







								"""simple docstring"""
								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(_snake_case       ,   add_special_tokens=_snake_case	)
																		tokenizer.save_pretrained(_snake_case	)

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

																		shutil.rmtree(_snake_case	)

								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(_snake_case       ,   add_special_tokens=_snake_case	)
																		tokenizer.save_pretrained(_snake_case	)

																		A_				 =						tokenizer.__class__.from_pretrained(_snake_case	)
																		A_				 =						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	)

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

																		shutil.rmtree(_snake_case	)




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







								"""simple docstring"""
								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(_snake_case	)

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

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

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

																		A_				 =						added_tokens_extra_ids + [
																		    "an_additional_special_token"
																		]
																		A_				 =						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
																		A_				 =						tokenizer_class.from_pretrained(
																		    _snake_case       ,   )
																		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=_snake_case	)]
																		A_				 =						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      lowerCamelCase__     (				self						:					Union[str, Any]	)      -> Optional[int]:







								"""simple docstring"""
								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(_snake_case	)

																		A_				 =						tokenizer_class.from_pretrained(_snake_case	)

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




			def      lowerCamelCase__     (				self						:					str	)      -> List[str]:







								"""simple docstring"""
								pass




			def      lowerCamelCase__     (				self						:					Optional[Any]	)      -> str:







								"""simple docstring"""
								pass




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







								"""simple docstring"""
								pass




			def      lowerCamelCase__     (				self						:					List[str]	)      -> Union[str, Any]:







								"""simple docstring"""
								pass




			def      lowerCamelCase__     (				self						:					int	)      -> Optional[Any]:







								"""simple docstring"""
								A_				 =						self.get_tokenizers(fast=_snake_case       ,   do_lower_case=_snake_case	)
								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(_snake_case	)

																		self.assertIsInstance(_snake_case       ,   _snake_case	)






			def      lowerCamelCase__     (				self						:					Optional[int]	)      -> int:







								"""simple docstring"""
								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(
																		    _snake_case       ,   skip_special_tokens=_snake_case	)

																		for attr in attributes_list:
																							setattr(_snake_case       ,   attr + "_id"       ,   _snake_case	)
																							self.assertEqual(getattr(_snake_case       ,   _snake_case	)       ,   _snake_case	)
																							self.assertEqual(getattr(_snake_case       ,   attr + "_id"	)       ,   _snake_case	)

																							setattr(_snake_case       ,   attr + "_id"       ,   _snake_case	)
																							self.assertEqual(getattr(_snake_case       ,   _snake_case	)       ,   _snake_case	)
																							self.assertEqual(getattr(_snake_case       ,   attr + "_id"	)       ,   _snake_case	)

																		setattr(_snake_case       ,   "additional_special_tokens_ids"       ,   []	)
																		self.assertListEqual(getattr(_snake_case       ,   "additional_special_tokens"	)       ,   []	)
																		self.assertListEqual(getattr(_snake_case       ,   "additional_special_tokens_ids"	)       ,   []	)

																		setattr(_snake_case       ,   "additional_special_tokens_ids"       ,   [token_id_to_test_setters]	)
																		self.assertListEqual(getattr(_snake_case       ,   "additional_special_tokens"	)       ,   [token_to_test_setters]	)
																		self.assertListEqual(getattr(_snake_case       ,   "additional_special_tokens_ids"	)       ,   [token_id_to_test_setters]	)






"""simple docstring"""





import baseaa
def 							A_     (__a				):

					'''simple docstring'''





					return baseaa.aaaencode(string.encode("utf-8"				)				)
def 							A_     (__a				):

					'''simple docstring'''





					return baseaa.aaadecode(__a				).decode("utf-8"				)


if __name__ == "__main__":
		import doctest

		doctest.testmod()




