



"""simple docstring"""

from datasets.utils.patching import _PatchedModuleObj, patch_submodule

from . import _test_patching




def __lowercase			(							):
    import os as original_os
    from os import path as original_path
    from os import rename as original_rename
    from os.path import dirname as original_dirname
    from os.path import join as original_join

    assert _test_patching.os is original_os
    assert _test_patching.path is original_path
    assert _test_patching.join is original_join

    assert _test_patching.renamed_os is original_os
    assert _test_patching.renamed_path is original_path
    assert _test_patching.renamed_join is original_join

    snake_case_ :     Dict				=	'''__test_patch_submodule_mock__'''
    with patch_submodule(_test_patching		,			'''os.path.join'''		,			lowerCAmelCase__    ):
        # Every way to access os.path.join must be patched, and the rest must stay untouched

        # check os.path.join
        assert isinstance(_test_patching.os		,			_PatchedModuleObj    )
        assert isinstance(_test_patching.os.path		,			_PatchedModuleObj    )
        assert _test_patching.os.path.join is mock

        # check path.join
        assert isinstance(_test_patching.path		,			_PatchedModuleObj    )
        assert _test_patching.path.join is mock

        # check join
        assert _test_patching.join is mock

        # check that the other attributes are untouched
        assert _test_patching.os.rename is original_rename
        assert _test_patching.path.dirname is original_dirname
        assert _test_patching.os.path.dirname is original_dirname

        # Even renamed modules or objects must be patched

        # check renamed_os.path.join
        assert isinstance(_test_patching.renamed_os		,			_PatchedModuleObj    )
        assert isinstance(_test_patching.renamed_os.path		,			_PatchedModuleObj    )
        assert _test_patching.renamed_os.path.join is mock

        # check renamed_path.join
        assert isinstance(_test_patching.renamed_path		,			_PatchedModuleObj    )
        assert _test_patching.renamed_path.join is mock

        # check renamed_join
        assert _test_patching.renamed_join is mock

        # check that the other attributes are untouched
        assert _test_patching.renamed_os.rename is original_rename
        assert _test_patching.renamed_path.dirname is original_dirname
        assert _test_patching.renamed_os.path.dirname is original_dirname

    # check that everthing is back to normal when the patch is over

    assert _test_patching.os is original_os
    assert _test_patching.path is original_path
    assert _test_patching.join is original_join

    assert _test_patching.renamed_os is original_os
    assert _test_patching.renamed_path is original_path
    assert _test_patching.renamed_join is original_join




def __lowercase			(							):
    assert _test_patching.open is open

    snake_case_ :     Dict				=	'''__test_patch_submodule_builtin_mock__'''
    # _test_patching has "open" in its globals
    assert _test_patching.open is open
    with patch_submodule(_test_patching		,			'''open'''		,			lowerCAmelCase__    ):
        assert _test_patching.open is mock

    # check that everthing is back to normal when the patch is over

    assert _test_patching.open is open




def __lowercase			(							):
    # pandas.read_csv is not present in _test_patching
    snake_case_ :     str				=	'''__test_patch_submodule_missing_mock__'''
    with patch_submodule(_test_patching		,			'''pandas.read_csv'''		,			lowerCAmelCase__    ):
        pass




def __lowercase			(							):
    # builtin should always be mocked even if they're not in the globals
    # in case they're loaded at one point
    snake_case_ :     Union[str, Any]				=	'''__test_patch_submodule_missing_builtin_mock__'''
    # _test_patching doesn't have "len" in its globals
    assert getattr(_test_patching		,			'''len'''		,			lowerCAmelCase__    ) is None
    with patch_submodule(_test_patching		,			'''len'''		,			lowerCAmelCase__    ):
        assert _test_patching.len is mock
    assert _test_patching.len is len




def __lowercase			(							):
    snake_case_ :     List[str]				=	'''__test_patch_submodule_start_and_stop_mock__'''
    snake_case_ :     Tuple				=	patch_submodule(_test_patching		,			'''open'''		,			lowerCAmelCase__    )
    assert _test_patching.open is open
    patch.start()
    assert _test_patching.open is mock
    patch.stop()
    assert _test_patching.open is open




def __lowercase			(							):
    from os import rename as original_rename
    from os.path import dirname as original_dirname
    from os.path import join as original_join

    snake_case_ :     Union[str, Any]				=	'''__test_patch_submodule_successive_join__'''
    snake_case_ :     Any				=	'''__test_patch_submodule_successive_dirname__'''
    snake_case_ :     Optional[int]				=	'''__test_patch_submodule_successive_rename__'''
    assert _test_patching.os.path.join is original_join
    assert _test_patching.os.path.dirname is original_dirname
    assert _test_patching.os.rename is original_rename

    with patch_submodule(_test_patching		,			'''os.path.join'''		,			lowerCAmelCase__    ):
        with patch_submodule(_test_patching		,			'''os.rename'''		,			lowerCAmelCase__    ):
            with patch_submodule(_test_patching		,			'''os.path.dirname'''		,			lowerCAmelCase__    ):
                assert _test_patching.os.path.join is mock_join
                assert _test_patching.os.path.dirname is mock_dirname
                assert _test_patching.os.rename is mock_rename

    # try another order
    with patch_submodule(_test_patching		,			'''os.rename'''		,			lowerCAmelCase__    ):
        with patch_submodule(_test_patching		,			'''os.path.join'''		,			lowerCAmelCase__    ):
            with patch_submodule(_test_patching		,			'''os.path.dirname'''		,			lowerCAmelCase__    ):
                assert _test_patching.os.path.join is mock_join
                assert _test_patching.os.path.dirname is mock_dirname
                assert _test_patching.os.rename is mock_rename

    assert _test_patching.os.path.join is original_join
    assert _test_patching.os.path.dirname is original_dirname
    assert _test_patching.os.rename is original_rename






def __lowercase			(							):
    snake_case_ :     List[Any]				=	'''__test_patch_submodule_doesnt_exist_mock__'''
    with patch_submodule(_test_patching		,			'''__module_that_doesn_exist__.__attribute_that_doesn_exist__'''		,			lowerCAmelCase__    ):
        pass
    with patch_submodule(_test_patching		,			'''os.__attribute_that_doesn_exist__'''		,			lowerCAmelCase__    ):
        pass









'''simple docstring'''
import json
import os
import unittest

from transformers import BatchEncoding, LEDTokenizer, LEDTokenizerFast
from transformers.models.led.tokenization_led import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 			lowerCamelCase_   (	__a     ,       unittest.TestCase      ):
      lowerCAmelCase__		     =     LEDTokenizer
      lowerCAmelCase__		     =     LEDTokenizerFast
      lowerCAmelCase__		     =     True






      def lowercase_							(					self				:    int ):


          '''simple docstring'''


          super().setUp()
          UpperCAmelCase__			:		List[Any]													=				[
              '''l''',
              '''o''',
              '''w''',
              '''e''',
              '''r''',
              '''s''',
              '''t''',
              '''i''',
              '''d''',
              '''n''',
              '''\u0120''',
              '''\u0120l''',
              '''\u0120n''',
              '''\u0120lo''',
              '''\u0120low''',
              '''er''',
              '''\u0120lowest''',
              '''\u0120newer''',
              '''\u0120wider''',
              '''<unk>''',
          ]
          UpperCAmelCase__			:		Optional[Any]													=				dict(zip(_A						,						range(len(_A ) ) ) )
          UpperCAmelCase__			:		Union[str, Any]													=				['''#version: 0.2''', '''\u0120 l''', '''\u0120l o''', '''\u0120lo w''', '''e r''', '''''']
          UpperCAmelCase__			:		Any													=				{'''unk_token''': '''<unk>'''}

          UpperCAmelCase__			:		Dict													=				os.path.join(self.tmpdirname						,						VOCAB_FILES_NAMES['''vocab_file'''] )
          UpperCAmelCase__			:		Tuple													=				os.path.join(self.tmpdirname						,						VOCAB_FILES_NAMES['''merges_file'''] )
          with open(self.vocab_file						,						'''w'''						,						encoding='''utf-8''' ) as fp:
              fp.write(json.dumps(_A ) + '''\n''' )
          with open(self.merges_file						,						'''w'''						,						encoding='''utf-8''' ) as fp:
              fp.write('''\n'''.join(_A ) )






      def lowercase_							(					self				:    Optional[int]						,						**_A				:    Any ):


          '''simple docstring'''


          kwargs.update(self.special_tokens_map )
          return self.tokenizer_class.from_pretrained(self.tmpdirname						,						**_A )






      def lowercase_							(					self				:    Union[str, Any]						,						**_A				:    Optional[Any] ):


          '''simple docstring'''


          kwargs.update(self.special_tokens_map )
          return self.rust_tokenizer_class.from_pretrained(self.tmpdirname						,						**_A )






      def lowercase_							(					self				:    Tuple						,						_A				:    List[str] ):


          '''simple docstring'''


          return "lower newer", "lower newer"






      @cached_property
      def lowercase_							(					self				:    List[Any] ):


          '''simple docstring'''


          return LEDTokenizer.from_pretrained('''allenai/led-base-16384''' )






      @cached_property
      def lowercase_							(					self				:    Any ):


          '''simple docstring'''


          return LEDTokenizerFast.from_pretrained('''allenai/led-base-16384''' )






      @require_torch
      def lowercase_							(					self				:    Optional[Any] ):


          '''simple docstring'''


          UpperCAmelCase__			:		Union[str, Any]													=				['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
          UpperCAmelCase__			:		Dict													=				[0, 250, 251, 17_818, 13, 39_186, 1_938, 4, 2]

          for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
              UpperCAmelCase__			:		Union[str, Any]													=				tokenizer(_A						,						max_length=len(_A )						,						padding=_A						,						return_tensors='''pt''' )
              self.assertIsInstance(_A						,						_A )

              self.assertEqual((2, 9)						,						batch.input_ids.shape )
              self.assertEqual((2, 9)						,						batch.attention_mask.shape )
              UpperCAmelCase__			:		int													=				batch.input_ids.tolist()[0]
              self.assertListEqual(_A						,						_A )






      @require_torch
      def lowercase_							(					self				:    Tuple ):


          '''simple docstring'''


          UpperCAmelCase__			:		Optional[int]													=				['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
          for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
              UpperCAmelCase__			:		List[str]													=				tokenizer(_A						,						padding=_A						,						return_tensors='''pt''' )
              self.assertIn('''input_ids'''						,						_A )
              self.assertIn('''attention_mask'''						,						_A )
              self.assertNotIn('''labels'''						,						_A )
              self.assertNotIn('''decoder_attention_mask'''						,						_A )






      @require_torch
      def lowercase_							(					self				:    str ):


          '''simple docstring'''


          UpperCAmelCase__			:		Tuple													=				[
              '''Summary of the text.''',
              '''Another summary.''',
          ]
          for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
              UpperCAmelCase__			:		Optional[Any]													=				tokenizer(text_target=_A						,						max_length=32						,						padding='''max_length'''						,						return_tensors='''pt''' )
              self.assertEqual(32						,						targets['''input_ids'''].shape[1] )






      @require_torch
      def lowercase_							(					self				:    Tuple ):


          '''simple docstring'''


          for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
              UpperCAmelCase__			:		Any													=				tokenizer(
                  ['''I am a small frog''' * 1_024, '''I am a small frog''']						,						padding=_A						,						truncation=_A						,						return_tensors='''pt''' )
              self.assertIsInstance(_A						,						_A )
              self.assertEqual(batch.input_ids.shape						,						(2, 5_122) )






      @require_torch
      def lowercase_							(					self				:    List[str] ):


          '''simple docstring'''


          UpperCAmelCase__			:		Any													=				['''A long paragraph for summarization.''']
          UpperCAmelCase__			:		List[Any]													=				[
              '''Summary of the text.''',
          ]
          for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
              UpperCAmelCase__			:		Optional[Any]													=				tokenizer(_A						,						return_tensors='''pt''' )
              UpperCAmelCase__			:		int													=				tokenizer(text_target=_A						,						return_tensors='''pt''' )
              UpperCAmelCase__			:		str													=				inputs['''input_ids''']
              UpperCAmelCase__			:		Tuple													=				targets['''input_ids''']
              self.assertTrue((input_ids[:, 0] == tokenizer.bos_token_id).all().item() )
              self.assertTrue((labels[:, 0] == tokenizer.bos_token_id).all().item() )
              self.assertTrue((input_ids[:, -1] == tokenizer.eos_token_id).all().item() )
              self.assertTrue((labels[:, -1] == tokenizer.eos_token_id).all().item() )






      @require_torch
      def lowercase_							(					self				:    List[str] ):


          '''simple docstring'''


          for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
              UpperCAmelCase__			:		Tuple													=				['''Summary of the text.''', '''Another summary.''']
              UpperCAmelCase__			:		List[str]													=				[[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, -1, -1]]

              UpperCAmelCase__			:		List[str]													=				tokenizer(_A						,						padding=_A )
              UpperCAmelCase__			:		str													=				[[0] * len(_A ) for x in encoded_output['''input_ids''']]
              UpperCAmelCase__			:		Any													=				tokenizer.pad(_A )
              self.assertSequenceEqual(outputs['''global_attention_mask''']						,						_A )






      def lowercase_							(					self				:    Tuple ):


          '''simple docstring'''


          pass






      def lowercase_							(					self				:    Dict ):


          '''simple docstring'''


          for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
              with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})""" ):
                  UpperCAmelCase__			:		Optional[int]													=				self.rust_tokenizer_class.from_pretrained(_A						,						**_A )
                  UpperCAmelCase__			:		int													=				self.tokenizer_class.from_pretrained(_A						,						**_A )
                  UpperCAmelCase__			:		Any													=				'''A, <mask> AllenNLP sentence.'''
                  UpperCAmelCase__			:		Dict													=				tokenizer_r.encode_plus(_A						,						add_special_tokens=_A						,						return_token_type_ids=_A )
                  UpperCAmelCase__			:		Optional[int]													=				tokenizer_p.encode_plus(_A						,						add_special_tokens=_A						,						return_token_type_ids=_A )
                  self.assertEqual(sum(tokens_r['''token_type_ids'''] )						,						sum(tokens_p['''token_type_ids'''] ) )
                  self.assertEqual(
                      sum(tokens_r['''attention_mask'''] ) / len(tokens_r['''attention_mask'''] )						,						sum(tokens_p['''attention_mask'''] ) / len(tokens_p['''attention_mask'''] )						,						)

                  UpperCAmelCase__			:		str													=				tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids'''] )
                  UpperCAmelCase__			:		Tuple													=				tokenizer_p.convert_ids_to_tokens(tokens_p['''input_ids'''] )
                  self.assertSequenceEqual(tokens_p['''input_ids''']						,						[0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2] )
                  self.assertSequenceEqual(tokens_r['''input_ids''']						,						[0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2] )

                  self.assertSequenceEqual(
                      _A						,						['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>'''] )
                  self.assertSequenceEqual(
                      _A						,						['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>'''] )
