




'''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():
     a_      :		str							      =       """pt"""
elif is_tf_available():
     a_      :		List[Any]							      =       """tf"""
else:
     a_      :		int							      =       """jax"""


class   __UpperCamelCase       ( lowerCamelCase__			,					unittest.TestCase				):
       lowercase	:    List[Any]      						=PerceiverTokenizer
       lowercase	:    List[str]      						=False






       def      lowercase__     (							self  ):



              """simple docstring"""







              super().setUp()
              lowerCamelCase_							=PerceiverTokenizer()
              tokenizer.save_pretrained(self.tmpdirname  )






       @cached_property
       def      lowercase__     (							self  ):



              """simple docstring"""







              return PerceiverTokenizer.from_pretrained('''deepmind/language-perceiver'''  )






       def      lowercase__     (							self,		**lowerCAmelCase  ):



              """simple docstring"""







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






       def      lowercase__     (							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      lowercase__     (							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      lowercase__     (							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      lowercase__     (							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      lowercase__     (							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      lowercase__     (							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      lowercase__     (							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      lowercase__     (							self  ):



              """simple docstring"""







              lowerCamelCase_							=self.perceiver_tokenizer
              self.assertEqual(tokenizer.decode([178]  ),		'''�'''  )






       def      lowercase__     (							self  ):



              """simple docstring"""







              pass






       def      lowercase__     (							self  ):



              """simple docstring"""







              pass






       def      lowercase__     (							self  ):



              """simple docstring"""







              pass






       def      lowercase__     (							self  ):



              """simple docstring"""







              pass






       def      lowercase__     (							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'''

import importlib.metadata
import operator
import re
import sys
from typing import Optional

from packaging import version


lowercase_					= {
    """<""": operator.lt,
    """<=""": operator.le,
    """==""": operator.eq,
    """!=""": operator.ne,
    """>=""": operator.ge,
    """>""": operator.gt,
}





def lowerCamelCase						(     __lowerCamelCase :    Tuple					,       __lowerCamelCase :    Optional[Any]					,       __lowerCamelCase :    Dict					,       __lowerCamelCase :    List[Any]					,       __lowerCamelCase :    Optional[int]					,       __lowerCamelCase :    Optional[Any]    )						->Tuple:
    if got_ver is None or want_ver is None:
        raise ValueError(
            F'Unable to compare versions for {requirement}: need={want_ver} found={got_ver}. This is unusual. Consider'
            F' reinstalling {pkg}.'    )
    if not ops[op](version.parse(__lowerCamelCase    )					,       version.parse(__lowerCamelCase    )    ):
        raise ImportError(
            F'{requirement} is required for a normal functioning of this module, but found {pkg}=={got_ver}.{hint}'    )





def lowerCamelCase						(     __lowerCamelCase :    str					,       __lowerCamelCase :    Optional[str] = None    )						->None:
    _SCREAMING_SNAKE_CASE									=			F'\n{hint}' if hint is not None else """"""

    # non-versioned check
    if re.match(R"""^[\w_\-\d]+$"""					,       __lowerCamelCase    ):
        _SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE									=			requirement, None, None
    else:
        _SCREAMING_SNAKE_CASE									=			re.findall(R"""^([^!=<>\s]+)([\s!=<>]{1,2}.+)"""					,       __lowerCamelCase    )
        if not match:
            raise ValueError(
                """requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23, but"""
                F' got {requirement}'    )
        _SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE									=			match[0]
        _SCREAMING_SNAKE_CASE									=			want_full.split(""","""    )  # there could be multiple requirements
        _SCREAMING_SNAKE_CASE									=			{}
        for w in want_range:
            _SCREAMING_SNAKE_CASE									=			re.findall(R"""^([\s!=<>]{1,2})(.+)"""					,       __lowerCamelCase    )
            if not match:
                raise ValueError(
                    """requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23,"""
                    F' but got {requirement}'    )
            _SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE									=			match[0]
            _SCREAMING_SNAKE_CASE									=			want_ver
            if op not in ops:
                raise ValueError(F'{requirement}: need one of {list(ops.keys()    )}, but got {op}'    )

    # special case
    if pkg == "python":
        _SCREAMING_SNAKE_CASE									=			""".""".join([str(__lowerCamelCase    ) for x in sys.version_info[:3]]    )
        for op, want_ver in wanted.items():
            _compare_versions(__lowerCamelCase					,       __lowerCamelCase					,       __lowerCamelCase					,       __lowerCamelCase					,       __lowerCamelCase					,       __lowerCamelCase    )
        return

    # check if any version is installed
    try:
        _SCREAMING_SNAKE_CASE									=			importlib.metadata.version(__lowerCamelCase    )
    except importlib.metadata.PackageNotFoundError:
        raise importlib.metadata.PackageNotFoundError(
            F'The \'{requirement}\' distribution was not found and is required by this application. {hint}'    )

    # check that the right version is installed if version number or a range was provided
    if want_ver is not None:
        for op, want_ver in wanted.items():
            _compare_versions(__lowerCamelCase					,       __lowerCamelCase					,       __lowerCamelCase					,       __lowerCamelCase					,       __lowerCamelCase					,       __lowerCamelCase    )






def lowerCamelCase						(     __lowerCamelCase :    Union[str, Any]    )						->str:
    _SCREAMING_SNAKE_CASE									=			"""Try: pip install transformers -U or pip install -e '.[dev]' if you're working with git main"""
    return require_version(__lowerCamelCase					,       __lowerCamelCase    )



