

import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class  A						(							_UpperCAmelCase    ,							unittest.TestCase ):







    """simple docstring"""





    lowerCamelCase			=							OpenAIGPTTokenizer
    lowerCamelCase			=							OpenAIGPTTokenizerFast
    lowerCamelCase			=							True
    lowerCamelCase			=							False


    def 						snake_case__     (      self :       List[Any]		)->    str:





        '''simple docstring'''







        super().setUp()

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        A__          =   [
            'l',
            'o',
            'w',
            'e',
            'r',
            's',
            't',
            'i',
            'd',
            'n',
            'w</w>',
            'r</w>',
            't</w>',
            'lo',
            'low',
            'er</w>',
            'low</w>',
            'lowest</w>',
            'newer</w>',
            'wider</w>',
            '<unk>',
        ]
        A__          =   dict(zip(lowercase_,range(len(lowercase_		)		)		)		)
        A__          =   ['#version: 0.2', 'l o', 'lo w', 'e r</w>', '']

        A__          =   os.path.join(self.tmpdirname,VOCAB_FILES_NAMES['vocab_file']		)
        A__          =   os.path.join(self.tmpdirname,VOCAB_FILES_NAMES['merges_file']		)
        with open(self.vocab_file,'w'		) as fp:
            fp.write(json.dumps(lowercase_		)		)
        with open(self.merges_file,'w'		) as fp:
            fp.write('\n'.join(lowercase_		)		)


    def 						snake_case__     (      self :       Optional[int],lowercase_ :       int		)->    Optional[int]:





        '''simple docstring'''







        return "lower newer", "lower newer"


    def 						snake_case__     (      self :       List[str]		)->    Union[str, Any]:





        '''simple docstring'''







        A__          =   OpenAIGPTTokenizer(self.vocab_file,self.merges_file		)

        A__          =   'lower'
        A__          =   ['low', 'er</w>']
        A__          =   tokenizer.tokenize(lowercase_		)
        self.assertListEqual(lowercase_,lowercase_		)

        A__          =   tokens + ['<unk>']
        A__          =   [1_4, 1_5, 2_0]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_		),lowercase_		)


    def 						snake_case__     (      self :       Optional[Any],lowercase_ :       Optional[int]=1_5		)->    str:





        '''simple docstring'''







        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
            with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'		):
                A__          =   self.rust_tokenizer_class.from_pretrained(lowercase_,**lowercase_		)

                # Simple input
                A__          =   'This is a simple input'
                A__          =   ['This is a simple input 1', 'This is a simple input 2']
                A__          =   ('This is a simple input', 'This is a pair')
                A__          =   [
                    ('This is a simple input 1', 'This is a simple input 2'),
                    ('This is a simple pair 1', 'This is a simple pair 2'),
                ]

                # Simple input tests
                self.assertRaises(lowercase_,tokenizer_r.encode,lowercase_,max_length=lowercase_,padding='max_length'		)

                # Simple input
                self.assertRaises(lowercase_,tokenizer_r.encode_plus,lowercase_,max_length=lowercase_,padding='max_length'		)

                # Simple input
                self.assertRaises(
                    lowercase_,tokenizer_r.batch_encode_plus,lowercase_,max_length=lowercase_,padding='max_length',)

                # Pair input
                self.assertRaises(lowercase_,tokenizer_r.encode,lowercase_,max_length=lowercase_,padding='max_length'		)

                # Pair input
                self.assertRaises(lowercase_,tokenizer_r.encode_plus,lowercase_,max_length=lowercase_,padding='max_length'		)

                # Pair input
                self.assertRaises(
                    lowercase_,tokenizer_r.batch_encode_plus,lowercase_,max_length=lowercase_,padding='max_length',)


    def 						snake_case__     (      self :       List[str]		)->    Optional[int]:





        '''simple docstring'''







        pass




@require_ftfy
@require_spacy
@require_tokenizers
class  A						(							_UpperCAmelCase ):







    """simple docstring"""





    pass






'''simple docstring'''





import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout





def 						__snake_case(				_lowerCAmelCase		)		-> Optional[int]:
      snake_case__  :    int    						=      FileLock(str(tmpdir / """foo.lock"""		)		)
      snake_case__  :    Dict    						=      FileLock(str(tmpdir / """foo.lock"""		)		)
      snake_case__  :    List[str]    						=      0.01
      with locka.acquire():
            with pytest.raises(_lowerCAmelCase		):
                  snake_case__  :    str    						=      time.time()
                  locka.acquire(_lowerCAmelCase		)
                  assert time.time() - _start > timeout





def 						__snake_case(				_lowerCAmelCase		)		-> Tuple:
      snake_case__  :    Dict    						=      """a""" * 1_000 + """.lock"""
      snake_case__  :    int    						=      FileLock(str(tmpdir / filename		)		)
      assert locka._lock_file.endswith(""".lock"""		)
      assert not locka._lock_file.endswith(_lowerCAmelCase		)
      assert len(os.path.basename(locka._lock_file		)		) <= 255
      snake_case__  :    Dict    						=      FileLock(tmpdir / filename		)
      with locka.acquire():
            with pytest.raises(_lowerCAmelCase		):
                  locka.acquire(0		)
