

'''simple docstring'''

import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XLMRobertaTokenizer, XLMRobertaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


UpperCAmelCase					 =	get_tests_dir('''fixtures/test_sentencepiece.model''')


@require_sentencepiece
@require_tokenizers
class 	lowerCAmelCase  (   A ,      unittest.TestCase ):
       lowerCAmelCase_												=			XLMRobertaTokenizer
       lowerCAmelCase_												=			XLMRobertaTokenizerFast
       lowerCAmelCase_												=			True
       lowerCAmelCase_												=			True







       def       snake_case (				self      :			Dict   ):







            """simple docstring"""







            super().setUp()

            # We have a SentencePiece fixture for testing
            __lowercase      		=XLMRobertaTokenizer(__lowercase    ,   keep_accents=__lowercase   )
            tokenizer.save_pretrained(self.tmpdirname   )







       def       snake_case (				self      :			List[str]   ):







            """simple docstring"""







            __lowercase      		='<pad>'
            __lowercase      		=1

            self.assertEqual(self.get_tokenizer()._convert_token_to_id(__lowercase   )    ,   __lowercase   )
            self.assertEqual(self.get_tokenizer()._convert_id_to_token(__lowercase   )    ,   __lowercase   )







       def       snake_case (				self      :			str   ):







            """simple docstring"""







            __lowercase      		=list(self.get_tokenizer().get_vocab().keys()   )

            self.assertEqual(vocab_keys[0]    ,   '<s>'   )
            self.assertEqual(vocab_keys[1]    ,   '<pad>'   )
            self.assertEqual(vocab_keys[-1]    ,   '<mask>'   )
            self.assertEqual(len(__lowercase   )    ,   1002   )







       def       snake_case (				self      :			Dict   ):







            """simple docstring"""







            self.assertEqual(self.get_tokenizer().vocab_size    ,   1002   )







       def       snake_case (				self      :			Tuple   ):







            """simple docstring"""







            __lowercase      		=XLMRobertaTokenizer(__lowercase    ,   keep_accents=__lowercase   )

            __lowercase      		=tokenizer.tokenize('This is a test'   )
            self.assertListEqual(__lowercase    ,   ['▁This', '▁is', '▁a', '▁t', 'est']   )

            self.assertListEqual(
                tokenizer.convert_tokens_to_ids(__lowercase   )    ,   [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]    ,   )

            __lowercase      		=tokenizer.tokenize('I was born in 92000, and this is falsé.'   )
            self.assertListEqual(
                __lowercase    ,   [
                    SPIECE_UNDERLINE + 'I',
                    SPIECE_UNDERLINE + 'was',
                    SPIECE_UNDERLINE + 'b',
                    'or',
                    'n',
                    SPIECE_UNDERLINE + 'in',
                    SPIECE_UNDERLINE + '',
                    '9',
                    '2',
                    '0',
                    '0',
                    '0',
                    ',',
                    SPIECE_UNDERLINE + 'and',
                    SPIECE_UNDERLINE + 'this',
                    SPIECE_UNDERLINE + 'is',
                    SPIECE_UNDERLINE + 'f',
                    'al',
                    's',
                    'é',
                    '.',
                ]    ,   )
            __lowercase      		=tokenizer.convert_tokens_to_ids(__lowercase   )
            self.assertListEqual(
                __lowercase    ,   [
                    value + tokenizer.fairseq_offset
                    for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
                    #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
                ]    ,   )

            __lowercase      		=tokenizer.convert_ids_to_tokens(__lowercase   )
            self.assertListEqual(
                __lowercase    ,   [
                    SPIECE_UNDERLINE + 'I',
                    SPIECE_UNDERLINE + 'was',
                    SPIECE_UNDERLINE + 'b',
                    'or',
                    'n',
                    SPIECE_UNDERLINE + 'in',
                    SPIECE_UNDERLINE + '',
                    '<unk>',
                    '2',
                    '0',
                    '0',
                    '0',
                    ',',
                    SPIECE_UNDERLINE + 'and',
                    SPIECE_UNDERLINE + 'this',
                    SPIECE_UNDERLINE + 'is',
                    SPIECE_UNDERLINE + 'f',
                    'al',
                    's',
                    '<unk>',
                    '.',
                ]    ,   )







       def       snake_case (				self      :			Union[str, Any]   ):







            """simple docstring"""







            if not self.test_slow_tokenizer:
                 # as we don't have a slow version, we can't compare the outputs between slow and fast versions
                 return

            __lowercase      		=(self.rust_tokenizer_class, 'hf-internal-testing/tiny-xlm-roberta', {})
            for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                 with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''   ):
                      __lowercase      		=self.rust_tokenizer_class.from_pretrained(__lowercase    ,   **__lowercase   )
                      __lowercase      		=self.tokenizer_class.from_pretrained(__lowercase    ,   **__lowercase   )

                      __lowercase      		=tempfile.mkdtemp()

                      __lowercase      		=tokenizer_r.save_pretrained(__lowercase   )
                      __lowercase      		=tokenizer_p.save_pretrained(__lowercase   )

                      # Checks it save with the same files + the tokenizer.json file for the fast one
                      self.assertTrue(any('tokenizer.json' in f for f in tokenizer_r_files   )   )
                      __lowercase      		=tuple(f for f in tokenizer_r_files if 'tokenizer.json' not in f   )
                      self.assertSequenceEqual(__lowercase    ,   __lowercase   )

                      # Checks everything loads correctly in the same way
                      __lowercase      		=tokenizer_r.from_pretrained(__lowercase   )
                      __lowercase      		=tokenizer_p.from_pretrained(__lowercase   )

                      # Check special tokens are set accordingly on Rust and Python
                      for key in tokenizer_pp.special_tokens_map:
                           self.assertTrue(hasattr(__lowercase    ,   __lowercase   )   )
                           # self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
                           # self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

                      shutil.rmtree(__lowercase   )

                      # Save tokenizer rust, legacy_format=True
                      __lowercase      		=tempfile.mkdtemp()

                      __lowercase      		=tokenizer_r.save_pretrained(__lowercase    ,   legacy_format=__lowercase   )
                      __lowercase      		=tokenizer_p.save_pretrained(__lowercase   )

                      # Checks it save with the same files
                      self.assertSequenceEqual(__lowercase    ,   __lowercase   )

                      # Checks everything loads correctly in the same way
                      __lowercase      		=tokenizer_r.from_pretrained(__lowercase   )
                      __lowercase      		=tokenizer_p.from_pretrained(__lowercase   )

                      # Check special tokens are set accordingly on Rust and Python
                      for key in tokenizer_pp.special_tokens_map:
                           self.assertTrue(hasattr(__lowercase    ,   __lowercase   )   )

                      shutil.rmtree(__lowercase   )

                      # Save tokenizer rust, legacy_format=False
                      __lowercase      		=tempfile.mkdtemp()

                      __lowercase      		=tokenizer_r.save_pretrained(__lowercase    ,   legacy_format=__lowercase   )
                      __lowercase      		=tokenizer_p.save_pretrained(__lowercase   )

                      # Checks it saved the tokenizer.json file
                      self.assertTrue(any('tokenizer.json' in f for f in tokenizer_r_files   )   )

                      # Checks everything loads correctly in the same way
                      __lowercase      		=tokenizer_r.from_pretrained(__lowercase   )
                      __lowercase      		=tokenizer_p.from_pretrained(__lowercase   )

                      # Check special tokens are set accordingly on Rust and Python
                      for key in tokenizer_pp.special_tokens_map:
                           self.assertTrue(hasattr(__lowercase    ,   __lowercase   )   )

                      shutil.rmtree(__lowercase   )







       @cached_property
       def       snake_case (				self      :			str   ):







            """simple docstring"""







            return XLMRobertaTokenizer.from_pretrained('xlm-roberta-base'   )







       def       snake_case (				self      :			Any   ):







            """simple docstring"""







            with tempfile.NamedTemporaryFile() as f:
                 shutil.copyfile(__lowercase    ,   f.name   )
                 __lowercase      		=XLMRobertaTokenizer(f.name    ,   keep_accents=__lowercase   )
                 __lowercase      		=pickle.dumps(__lowercase   )
            pickle.loads(__lowercase   )







       def       snake_case (				self      :			List[Any]   ):







            """simple docstring"""







            if not self.test_rust_tokenizer:
                 return

            __lowercase      		=self.get_tokenizer()
            __lowercase      		=self.get_rust_tokenizer()

            __lowercase      		='I was born in 92000, and this is falsé.'

            __lowercase      		=tokenizer.tokenize(__lowercase   )
            __lowercase      		=rust_tokenizer.tokenize(__lowercase   )
            self.assertListEqual(__lowercase    ,   __lowercase   )

            __lowercase      		=tokenizer.encode(__lowercase    ,   add_special_tokens=__lowercase   )
            __lowercase      		=rust_tokenizer.encode(__lowercase    ,   add_special_tokens=__lowercase   )
            self.assertListEqual(__lowercase    ,   __lowercase   )

            __lowercase      		=self.get_rust_tokenizer()
            __lowercase      		=tokenizer.encode(__lowercase   )
            __lowercase      		=rust_tokenizer.encode(__lowercase   )
            self.assertListEqual(__lowercase    ,   __lowercase   )







       @slow
       def       snake_case (				self      :			List[Any]   ):







            """simple docstring"""







            __lowercase      		='Hello World!'
            __lowercase      		=[0, 35378, 6661, 38, 2]
            # xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')  # xlmr.large has same tokenizer
            # xlmr.eval()
            # xlmr.encode(symbols)

            self.assertListEqual(__lowercase    ,   self.big_tokenizer.encode(__lowercase   )   )







       @slow
       def       snake_case (				self      :			Any   ):







            """simple docstring"""







            __lowercase      		=(
                'This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'
                ' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'
            )
            __lowercase      		=[
                0,
                3293,
                83,
                10,
                4552,
                4989,
                7986,
                678,
                10,
                5915,
                111,
                179459,
                124850,
                4,
                6044,
                237,
                12,
                6,
                5,
                6,
                4,
                6780,
                705,
                15,
                1388,
                44,
                378,
                10114,
                711,
                152,
                20,
                6,
                5,
                22376,
                642,
                1221,
                15190,
                34153,
                450,
                5608,
                959,
                1119,
                57702,
                136,
                186,
                47,
                1098,
                29367,
                47,
                # 4426, # What fairseq tokenizes from "<unk>": "_<"
                # 3678, # What fairseq tokenizes from "<unk>": "unk"
                # 2740, # What fairseq tokenizes from "<unk>": ">"
                3,  # What we tokenize from "<unk>": "<unk>"
                6,  # Residue from the tokenization: an extra sentencepiece underline
                4,
                6044,
                237,
                6284,
                50901,
                528,
                31,
                90,
                34,
                927,
                2,
            ]
            # xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')  # xlmr.large has same tokenizer
            # xlmr.eval()
            # xlmr.encode(symbols)

            self.assertListEqual(__lowercase    ,   self.big_tokenizer.encode(__lowercase   )   )







       @slow
       def       snake_case (				self      :			Tuple   ):







            """simple docstring"""







            __lowercase      		={'input_ids': [[0, 11062, 82772, 7, 15, 82772, 538, 51529, 237, 17198, 1290, 206, 9, 215175, 1314, 136, 17198, 1290, 206, 9, 56359, 42, 122009, 9, 16466, 16, 87344, 4537, 9, 4717, 78381, 6, 159958, 7, 15, 24480, 618, 4, 527, 22693, 5428, 4, 2777, 24480, 9874, 4, 43523, 594, 4, 803, 18392, 33189, 18, 4, 43523, 24447, 12399, 100, 24955, 83658, 9626, 144057, 15, 839, 22335, 16, 136, 24955, 83658, 83479, 15, 39102, 724, 16, 678, 645, 2789, 1328, 4589, 42, 122009, 115774, 23, 805, 1328, 46876, 7, 136, 53894, 1940, 42227, 41159, 17721, 823, 425, 4, 27512, 98722, 206, 136, 5531, 4970, 919, 17336, 5, 2], [0, 20080, 618, 83, 82775, 47, 479, 9, 1517, 73, 53894, 333, 80581, 110117, 18811, 5256, 1295, 51, 152526, 297, 7986, 390, 124416, 538, 35431, 214, 98, 15044, 25737, 136, 7108, 43701, 23, 756, 135355, 7, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, 581, 63773, 119455, 6, 147797, 88203, 7, 645, 70, 21, 3285, 10269, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
            # fmt: on

            self.tokenizer_integration_test_util(
                expected_encoding=__lowercase    ,   model_name='xlm-roberta-base'    ,   revision='d9d8a8ea5eb94b1c6654ae9249df7793cd2933d3'    ,   )





'''simple docstring'''

import os
from collections.abc import Iterator

def 					__UpperCamelCase				(						lowercase__    :	str = "."			):






     '''simple docstring'''





     for dir_path, dir_names, filenames in os.walk(lowercase__			):
          __lowercase      		=[d for d in dir_names if d != 'scripts' and d[0] not in '._']
          for filename in filenames:
               if filename == "__init__.py":
                    continue
               if os.path.splitext(lowercase__			)[1] in (".py", ".ipynb"):
                    yield os.path.join(lowercase__,       lowercase__			).lstrip('./'			)

def 					__UpperCamelCase				(						lowercase__    :	Optional[Any]			):






     '''simple docstring'''





     return F'''{i * "  "}*''' if i else "\n##"

def 					__UpperCamelCase				(						lowercase__    :	str,       lowercase__    :	str			):






     '''simple docstring'''





     __lowercase      		=old_path.split(os.sep			)
     for i, new_part in enumerate(new_path.split(os.sep			)			):
          if (i + 1 > len(lowercase__			) or old_parts[i] != new_part) and new_part:
               print(F'''{md_prefix(lowercase__			)} {new_part.replace("_",       " "			).title()}'''			)
     return new_path

def 					__UpperCamelCase				(						lowercase__    :	str = "."			):






     '''simple docstring'''





     __lowercase      		=''
     for filepath in sorted(good_file_paths(lowercase__			)			):
          __lowercase		,  __lowercase      		=os.path.split(lowercase__			)
          if filepath != old_path:
               __lowercase      		=print_path(lowercase__,       lowercase__			)
          __lowercase      		=(filepath.count(os.sep			) + 1) if filepath else 0
          __lowercase      		=F'''{filepath}/{filename}'''.replace(' ',       '%20'			)
          __lowercase      		=os.path.splitext(filename.replace('_',       ' '			).title()			)[0]
          print(F'''{md_prefix(lowercase__			)} [{filename}]({url})'''			)


if __name__ == "__main__":
       print_directory_md('''.''')


