
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__   ( __lowercase		,						unittest.TestCase						):
						UpperCamelCase_				:			int						=		ByTaTokenizer
						UpperCamelCase_				:			Optional[Any]						=		False

						def 			A_					(      self					)       ->   List[Any]:


								'''simple docstring'''

								super().setUp()
								_UpperCamelCase         =						ByTaTokenizer()
								tokenizer.save_pretrained(self.tmpdirname					)

						@cached_property
						def 			A_					(      self					)       ->   str:


								'''simple docstring'''

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

						def 			A_					(      self							,				**a					)       ->   int:


								'''simple docstring'''

								return self.tokenizer_class.from_pretrained(self.tmpdirname							,				**A_					)

						def 			A_					(      self							,				a							,				a=False							,				a=20							,				a=5					)       ->   List[str]:


								'''simple docstring'''

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

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

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

						def 			A_					(      self					)       ->   int:


								'''simple docstring'''

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

						def 			A_					(      self					)       ->   int:


								'''simple docstring'''

								_UpperCamelCase         =						self.ta_base_tokenizer
								_UpperCamelCase         =						"""Unicode €."""
								_UpperCamelCase         =						tokenizer(A_					)
								_UpperCamelCase         =						[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"""]							,				A_					)

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

								_UpperCamelCase         =						tokenizer("""e è é ê ë"""					)
								_UpperCamelCase         =						[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"""]							,				A_					)
								# decoding
								_UpperCamelCase         =						tokenizer.decode(A_					)
								self.assertEqual(A_							,				"""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 			A_					(      self					)       ->   Optional[int]:


								'''simple docstring'''

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

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

								self.assertListEqual(A_							,				A_					)

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

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


								'''simple docstring'''

								_UpperCamelCase         =						self.ta_base_tokenizer
								_UpperCamelCase         =						["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
								_UpperCamelCase         =						tokenizer(A_							,				padding=A_							,				return_tensors=A_					)
								# check if input_ids are returned and no decoder_input_ids
								self.assertIn("""input_ids"""							,				A_					)
								self.assertIn("""attention_mask"""							,				A_					)
								self.assertNotIn("""decoder_input_ids"""							,				A_					)
								self.assertNotIn("""decoder_attention_mask"""							,				A_					)

						def 			A_					(      self					)       ->   str:


								'''simple docstring'''

								_UpperCamelCase         =						self.ta_base_tokenizer
								_UpperCamelCase         =						[
								    """Summary of the text.""",
								    """Another summary.""",
								]
								_UpperCamelCase         =						tokenizer(
								    text_target=A_							,				max_length=32							,				padding="""max_length"""							,				truncation=A_							,				return_tensors=A_					)
								self.assertEqual(32							,				targets["""input_ids"""].shape[1]					)

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


								'''simple docstring'''

								_UpperCamelCase         =						self.ta_base_tokenizer
								_UpperCamelCase         =						["""A long paragraph for summarization. </s>"""]
								_UpperCamelCase         =						["""Summary of the text. </s>"""]
								# fmt: off
								_UpperCamelCase         =						[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]
								_UpperCamelCase         =						[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

								_UpperCamelCase         =						tokenizer(A_							,				text_target=A_					)

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

						def 			A_					(      self					)       ->   str:


								'''simple docstring'''

								_UpperCamelCase         =						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
								_UpperCamelCase         =						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
												_UpperCamelCase         =						tempfile.mkdtemp()

												_UpperCamelCase         =						""" He is very happy, UNwant\u00E9d,running"""
												_UpperCamelCase         =						tokenizer.encode(A_							,				add_special_tokens=A_					)
												tokenizer.save_pretrained(A_					)

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

												shutil.rmtree(A_					)

								_UpperCamelCase         =						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
												_UpperCamelCase         =						tempfile.mkdtemp()

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

												_UpperCamelCase         =						tokenizer.__class__.from_pretrained(A_					)
												_UpperCamelCase         =						after_tokenizer.encode(A_							,				add_special_tokens=A_					)
												self.assertListEqual(A_							,				A_					)
												self.assertIn("""new_additional_special_token"""							,				after_tokenizer.additional_special_tokens					)
												self.assertEqual(after_tokenizer.model_max_length							,				42					)

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

												shutil.rmtree(A_					)

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


								'''simple docstring'''

								_UpperCamelCase         =						[]
								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(A_					)

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

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

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

												_UpperCamelCase         =						added_tokens_extra_ids + [
												    """an_additional_special_token"""
												]
												_UpperCamelCase         =						added_tokens_extra_ids + [
												    """an_additional_special_token"""
												]

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

												# 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
												_UpperCamelCase         =						tokenizer_class.from_pretrained(
												    A_							,				)
												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
												_UpperCamelCase         =						added_tokens_extra_ids + [AddedToken("""a_new_additional_special_token"""							,				lstrip=A_					)]
												_UpperCamelCase         =						tokenizer_class.from_pretrained(
												    A_							,				additional_special_tokens=A_							,				)

												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					)       ->   Optional[Any]:


								'''simple docstring'''

								_UpperCamelCase         =						[]
								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(A_					)

												_UpperCamelCase         =						tokenizer_class.from_pretrained(A_					)

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

						def 			A_					(      self					)       ->   int:


								'''simple docstring'''

								pass

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


								'''simple docstring'''

								pass

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


								'''simple docstring'''

								pass

						def 			A_					(      self					)       ->   Tuple:


								'''simple docstring'''

								pass

						def 			A_					(      self					)       ->   Dict:


								'''simple docstring'''

								_UpperCamelCase         =						self.get_tokenizers(fast=A_							,				do_lower_case=A_					)
								for tokenizer in tokenizers:
										with self.subTest(F'{tokenizer.__class__.__name__}'					):
												_UpperCamelCase         =						["""t""", """h""", """i""", """s""", """ """, """i""", """s""", """ """, """a""", """ """, """t""", """e""", """x""", """t""", """</s>"""]
												_UpperCamelCase         =						tokenizer.convert_tokens_to_string(A_					)

												self.assertIsInstance(A_							,				A_					)







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


								'''simple docstring'''

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

												_UpperCamelCase         =						0
												_UpperCamelCase         =						tokenizer.convert_ids_to_tokens(
												    A_							,				skip_special_tokens=A_					)

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

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

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

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







"""simple docstring"""




from collections.abc import Callable





def       a_ (	lowercase__ :Callable[[float], float],			lowercase__ :float,			lowercase__ :float     ):
			__lowerCamelCase          =      a
			__lowerCamelCase          =      b
			if function(lowercase__     ) == 0:  # one of the a or b is a root for the function
						return a
			elif function(lowercase__     ) == 0:
						return b
			elif (
			    function(lowercase__     ) * function(lowercase__     ) > 0
			):  # if none of these are root and they are both positive or negative,
						# then this algorithm can't find the root
						raise ValueError("""could not find root in given interval."""     )
			else:
						__lowerCamelCase          =      start + (end - start) / 2.0
						while abs(start - mid     ) > 10**-7:  # until precisely equals to 10^-7
									if function(lowercase__     ) == 0:
												return mid
									elif function(lowercase__     ) * function(lowercase__     ) < 0:
												__lowerCamelCase          =      mid
									else:
												__lowerCamelCase          =      mid
									__lowerCamelCase          =      start + (end - start) / 2.0
						return mid





def       a_ (	lowercase__ :float     ):
			return x**3 - 2 * x - 5


if __name__ == "__main__":
					print(bisection(f, 1, 1_0_0_0))

					import doctest

					doctest.testmod()




