'''simple docstring'''




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():
						__lowercase          =  '''pt'''
elif is_tf_available():
						__lowercase          =  '''tf'''
else:
						__lowercase          =  '''jax'''






class 				a__(					lowerCAmelCase__ ,						unittest.TestCase	):


			'''simple docstring'''






			UpperCAmelCase_			:     str      =       PerceiverTokenizer
			UpperCAmelCase_			:     Optional[Any]      =       False



			def 							a_       (   self):




					"""simple docstring"""


					super().setUp()
					lowerCAmelCase   					=  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=20       ,    __lowerCAmelCase=5):




					"""simple docstring"""


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

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

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



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  self.perceiver_tokenizer
					lowerCAmelCase   					=  """Unicode €."""
					lowerCAmelCase   					=  tokenizer(__lowerCAmelCase)
					lowerCAmelCase   					=  [4, 91, 116, 111, 105, 117, 106, 107, 38, 232, 136, 178, 52, 5]
					self.assertEqual(encoded["""input_ids"""]       ,    __lowerCAmelCase)

					# decoding
					lowerCAmelCase   					=  tokenizer.decode(__lowerCAmelCase)
					self.assertEqual(__lowerCAmelCase       ,    """[CLS]Unicode €.[SEP]""")

					lowerCAmelCase   					=  tokenizer("""e è é ê ë""")
					lowerCAmelCase   					=  [4, 107, 38, 201, 174, 38, 201, 175, 38, 201, 176, 38, 201, 177, 5]
					self.assertEqual(encoded["""input_ids"""]       ,    __lowerCAmelCase)
					# decoding
					lowerCAmelCase   					=  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"""


					lowerCAmelCase   					=  self.perceiver_tokenizer
					lowerCAmelCase   					=  ["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
					# fmt: off
					lowerCAmelCase   					=  [4, 71, 38, 114, 117, 116, 109, 38, 118, 103, 120, 103, 109, 120, 103, 118, 110, 38, 108, 117, 120, 38, 121, 123, 115, 115, 103, 120, 111, 128, 103, 122, 111, 117, 116, 52, 5, 0]
					# fmt: on
					lowerCAmelCase   					=  tokenizer(__lowerCAmelCase       ,    padding=__lowerCAmelCase       ,    return_tensors=__lowerCAmelCase)
					self.assertIsInstance(__lowerCAmelCase       ,    __lowerCAmelCase)

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

					self.assertListEqual(__lowerCAmelCase       ,    __lowerCAmelCase)

					self.assertEqual((2, 38)       ,    batch.input_ids.shape)
					self.assertEqual((2, 38)       ,    batch.attention_mask.shape)



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  self.perceiver_tokenizer
					lowerCAmelCase   					=  ["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
					lowerCAmelCase   					=  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"""


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



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  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
					lowerCAmelCase   					=  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
									lowerCAmelCase   					=  tempfile.mkdtemp()

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

									lowerCAmelCase   					=  tokenizer.__class__.from_pretrained(__lowerCAmelCase)
									lowerCAmelCase   					=  after_tokenizer.encode(__lowerCAmelCase       ,    add_special_tokens=__lowerCAmelCase)
									self.assertListEqual(__lowerCAmelCase       ,    __lowerCAmelCase)

									shutil.rmtree(__lowerCAmelCase)

					lowerCAmelCase   					=  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
									lowerCAmelCase   					=  tempfile.mkdtemp()

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

									lowerCAmelCase   					=  tokenizer.__class__.from_pretrained(__lowerCAmelCase)
									lowerCAmelCase   					=  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       ,    42)

									lowerCAmelCase   					=  tokenizer.__class__.from_pretrained(__lowerCAmelCase       ,    model_max_length=43)
									self.assertEqual(tokenizer.model_max_length       ,    43)

									shutil.rmtree(__lowerCAmelCase)



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  []
					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:
											lowerCAmelCase   					=  json.load(__lowerCAmelCase)

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

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

									lowerCAmelCase   					=  added_tokens_extra_ids + [
									    """an_additional_special_token"""
									]
									lowerCAmelCase   					=  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
									lowerCAmelCase   					=  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
									lowerCAmelCase   					=  added_tokens_extra_ids + [AddedToken("""a_new_additional_special_token"""       ,    lstrip=__lowerCAmelCase)]
									lowerCAmelCase   					=  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"""


					lowerCAmelCase   					=  self.perceiver_tokenizer
					self.assertEqual(tokenizer.decode([178])       ,    """�""")



			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"""


					lowerCAmelCase   					=  self.get_tokenizers(fast=__lowerCAmelCase       ,    do_lower_case=__lowerCAmelCase)
					for tokenizer in tokenizers:
							with self.subTest(f"{tokenizer.__class__.__name__}"):
									lowerCAmelCase   					=  ["""[CLS]""", """t""", """h""", """i""", """s""", """ """, """i""", """s""", """ """, """a""", """ """, """t""", """e""", """s""", """t""", """[SEP]"""]
									lowerCAmelCase   					=  tokenizer.convert_tokens_to_string(__lowerCAmelCase)

									self.assertIsInstance(__lowerCAmelCase       ,    __lowerCAmelCase)





'''simple docstring'''




def 				snake_case__							(			_A:					int      ,   _A:					int )    ->	int:

		'''simple docstring'''


		while a != 0:
				lowerCAmelCase					,     lowerCAmelCase   					=  b % a, a
		return b






def 				snake_case__							(			_A:					int      ,   _A:					int )    ->	int:

		'''simple docstring'''


		if gcd(_A      ,   _A ) != 1:
				lowerCAmelCase   					=  f"mod inverse of {a!r} and {m!r} does not exist"
				raise ValueError(_A )
		lowerCAmelCase					,     lowerCAmelCase					,     lowerCAmelCase   					=  1, 0, a
		lowerCAmelCase					,     lowerCAmelCase					,     lowerCAmelCase   					=  0, 1, m
		while va != 0:
				lowerCAmelCase   					=  ua // va
				lowerCAmelCase					,     lowerCAmelCase					,     lowerCAmelCase					,     lowerCAmelCase					,     lowerCAmelCase					,     lowerCAmelCase   					=  (ua - q * va), (ua - q * va), (ua - q * va), va, va, va
		return ua % m




