"""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():
       __lowerCAmelCase    :       List[str]					     ="""pt"""
elif is_tf_available():
       __lowerCAmelCase    :       int					     ="""tf"""
else:
       __lowerCAmelCase    :       Dict					     ="""jax"""





class  _A						(       lowerCAmelCase  ,    unittest.TestCase	):
      snake_case__			:   List[str]							  =	PerceiverTokenizer
      snake_case__			:   List[Any]							  =	False

      def 				A__       (						self						):







            """simple docstring"""



            super().setUp()
            lowercase														=	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"""



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

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

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

      def 				A__       (						self						):







            """simple docstring"""



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

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

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



            lowercase														=	self.perceiver_tokenizer
            lowercase														=	["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
            # fmt: off
            lowercase														=	[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
            lowercase														=	tokenizer(__lowerCAmelCase		,       padding=__lowerCAmelCase		,       return_tensors=__lowerCAmelCase						)
            self.assertIsInstance(__lowerCAmelCase		,       __lowerCAmelCase						)

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



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



            lowercase														=	self.perceiver_tokenizer
            lowercase														=	[
                """Summary of the text.""",
                """Another summary.""",
            ]
            lowercase														=	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"""



            lowercase														=	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
            lowercase														=	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
                        lowercase														=	tempfile.mkdtemp()

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

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

                        shutil.rmtree(__lowerCAmelCase						)

            lowercase														=	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
                        lowercase														=	tempfile.mkdtemp()

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

                        lowercase														=	tokenizer.__class__.from_pretrained(__lowerCAmelCase						)
                        lowercase														=	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						)

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

                        shutil.rmtree(__lowerCAmelCase						)

      def 				A__       (						self						):







            """simple docstring"""



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

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

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

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



            lowercase														=	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"""



            lowercase														=	self.get_tokenizers(fast=__lowerCAmelCase		,       do_lower_case=__lowerCAmelCase						)
            for tokenizer in tokenizers:
                  with self.subTest(f'{tokenizer.__class__.__name__}'						):
                        lowercase														=	["""[CLS]""", """t""", """h""", """i""", """s""", """ """, """i""", """s""", """ """, """a""", """ """, """t""", """e""", """s""", """t""", """[SEP]"""]
                        lowercase														=	tokenizer.convert_tokens_to_string(__lowerCAmelCase						)

                        self.assertIsInstance(__lowerCAmelCase		,       __lowerCAmelCase						)




"""simple docstring"""






from __future__ import annotations


def 			UpperCAmelCase__       (				lowerCAmelCase__     :list[int]		) ->    int:
      '''simple docstring'''


      if not nums:
            return 0
      lowercase														=	nums[0]
      lowercase														=	0
      for num in nums[1:]:
            lowercase							,							lowercase														=	(
                max_excluding + num,
                max(lowerCAmelCase__					,		lowerCAmelCase__		),
            )
      return max(lowerCAmelCase__					,		lowerCAmelCase__		)


if __name__ == "__main__":
       import doctest

       doctest.testmod()



