'''simple docstring'''

import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english


@require_tokenizers
class     __UpperCAmelCase       ( __a						,       unittest.TestCase		):
  __A :				Dict											= RoCBertTokenizer
  __A :				str											= None
  __A :				Union[str, Any]											= False
  __A :				str											= True
  __A :				Optional[int]											= filter_non_english





  def 						UpperCAmelCase_	(	self ):
     super().setUp()

     lowerCAmelCase_			=      ['''[UNK]''', '''[CLS]''', '''[SEP]''', '''[PAD]''', '''[MASK]''', '''你''', '''好''', '''是''', '''谁''', '''a''', '''b''', '''c''', '''d''']
     lowerCAmelCase_			=      {}
     lowerCAmelCase_			=      {}
     for i, value in enumerate(_lowerCamelCase ):
        lowerCAmelCase_			=      i
        lowerCAmelCase_			=      i
     lowerCAmelCase_			=      os.path.join(self.tmpdirname    ,     VOCAB_FILES_NAMES['''vocab_file'''] )
     lowerCAmelCase_			=      os.path.join(self.tmpdirname    ,     VOCAB_FILES_NAMES['''word_shape_file'''] )
     lowerCAmelCase_			=      os.path.join(self.tmpdirname    ,     VOCAB_FILES_NAMES['''word_pronunciation_file'''] )
     with open(self.vocab_file    ,     '''w'''    ,     encoding='''utf-8''' ) as vocab_writer:
        vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens] ) )
     with open(self.word_shape_file    ,     '''w'''    ,     encoding='''utf-8''' ) as word_shape_writer:
        json.dump(_lowerCamelCase    ,     _lowerCamelCase    ,     ensure_ascii=_lowerCamelCase )
     with open(self.word_pronunciation_file    ,     '''w'''    ,     encoding='''utf-8''' ) as word_pronunciation_writer:
        json.dump(_lowerCamelCase    ,     _lowerCamelCase    ,     ensure_ascii=_lowerCamelCase )





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      self.tokenizer_class(self.vocab_file    ,     self.word_shape_file    ,     self.word_pronunciation_file )

     lowerCAmelCase_			=      tokenizer.tokenize('''你好[SEP]你是谁''' )
     self.assertListEqual(_lowerCamelCase    ,     ['''你''', '''好''', '''[SEP]''', '''你''', '''是''', '''谁'''] )
     self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase )    ,     [5, 6, 2, 5, 7, 8] )
     self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(_lowerCamelCase )    ,     [5, 6, 2, 5, 7, 8] )
     self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(_lowerCamelCase )    ,     [5, 6, 2, 5, 7, 8] )





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      RoCBertBasicTokenizer()

     self.assertListEqual(tokenizer.tokenize('''ah\u535A\u63A8zz''' )    ,     ['''ah''', '''\u535A''', '''\u63A8''', '''zz'''] )





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      RoCBertBasicTokenizer(do_lower_case=_lowerCamelCase )

     self.assertListEqual(
         tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  ''' )    ,     ['''hello''', '''!''', '''how''', '''are''', '''you''', '''?'''] )
     self.assertListEqual(tokenizer.tokenize('''H\u00E9llo''' )    ,     ['''hello'''] )





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      RoCBertBasicTokenizer(do_lower_case=_lowerCamelCase    ,     strip_accents=_lowerCamelCase )

     self.assertListEqual(
         tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  ''' )    ,     ['''hällo''', '''!''', '''how''', '''are''', '''you''', '''?'''] )
     self.assertListEqual(tokenizer.tokenize('''H\u00E9llo''' )    ,     ['''h\u00E9llo'''] )





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      RoCBertBasicTokenizer(do_lower_case=_lowerCamelCase    ,     strip_accents=_lowerCamelCase )

     self.assertListEqual(
         tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  ''' )    ,     ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?'''] )
     self.assertListEqual(tokenizer.tokenize('''H\u00E9llo''' )    ,     ['''hello'''] )





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      RoCBertBasicTokenizer(do_lower_case=_lowerCamelCase )

     self.assertListEqual(
         tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  ''' )    ,     ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?'''] )
     self.assertListEqual(tokenizer.tokenize('''H\u00E9llo''' )    ,     ['''hello'''] )





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      RoCBertBasicTokenizer(do_lower_case=_lowerCamelCase )

     self.assertListEqual(
         tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  ''' )    ,     ['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?'''] )





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      RoCBertBasicTokenizer(do_lower_case=_lowerCamelCase    ,     strip_accents=_lowerCamelCase )

     self.assertListEqual(
         tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  ''' )    ,     ['''HäLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?'''] )





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      RoCBertBasicTokenizer(do_lower_case=_lowerCamelCase    ,     strip_accents=_lowerCamelCase )

     self.assertListEqual(
         tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  ''' )    ,     ['''HaLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?'''] )





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      RoCBertBasicTokenizer(do_lower_case=_lowerCamelCase    ,     never_split=['''[UNK]'''] )

     self.assertListEqual(
         tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU? [UNK]''' )    ,     ['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''', '''[UNK]'''] )





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      ['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']

     lowerCAmelCase_			=      {}
     for i, token in enumerate(_lowerCamelCase ):
        lowerCAmelCase_			=      i
     lowerCAmelCase_			=      RoCBertWordpieceTokenizer(vocab=_lowerCamelCase    ,     unk_token='''[UNK]''' )

     self.assertListEqual(tokenizer.tokenize('''''' )    ,     [] )

     self.assertListEqual(tokenizer.tokenize('''unwanted running''' )    ,     ['''un''', '''##want''', '''##ed''', '''runn''', '''##ing'''] )

     self.assertListEqual(tokenizer.tokenize('''unwantedX running''' )    ,     ['''[UNK]''', '''runn''', '''##ing'''] )





  def 						UpperCAmelCase_	(	self ):
     self.assertTrue(_is_whitespace(''' ''' ) )
     self.assertTrue(_is_whitespace('''\t''' ) )
     self.assertTrue(_is_whitespace('''\r''' ) )
     self.assertTrue(_is_whitespace('''\n''' ) )
     self.assertTrue(_is_whitespace('''\u00A0''' ) )

     self.assertFalse(_is_whitespace('''A''' ) )
     self.assertFalse(_is_whitespace('''-''' ) )





  def 						UpperCAmelCase_	(	self ):
     self.assertTrue(_is_control('''\u0005''' ) )

     self.assertFalse(_is_control('''A''' ) )
     self.assertFalse(_is_control(''' ''' ) )
     self.assertFalse(_is_control('''\t''' ) )
     self.assertFalse(_is_control('''\r''' ) )





  def 						UpperCAmelCase_	(	self ):
     self.assertTrue(_is_punctuation('''-''' ) )
     self.assertTrue(_is_punctuation('''$''' ) )
     self.assertTrue(_is_punctuation('''`''' ) )
     self.assertTrue(_is_punctuation('''.''' ) )

     self.assertFalse(_is_punctuation('''A''' ) )
     self.assertFalse(_is_punctuation(''' ''' ) )





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      self.get_tokenizer()

     # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
     self.assertListEqual([tokenizer.tokenize(_lowerCamelCase ) for t in ['''Test''', '''\xad''', '''test''']]    ,     [['''[UNK]'''], [], ['''[UNK]''']] )

     if self.test_rust_tokenizer:
        lowerCAmelCase_			=      self.get_rust_tokenizer()
        self.assertListEqual(
            [rust_tokenizer.tokenize(_lowerCamelCase ) for t in ['''Test''', '''\xad''', '''test''']]    ,     [['''[UNK]'''], [], ['''[UNK]''']] )





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

           lowerCAmelCase_			=      F'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
           lowerCAmelCase_			=      tokenizer_r.encode_plus(
               _lowerCamelCase    ,     return_attention_mask=_lowerCamelCase    ,     return_token_type_ids=_lowerCamelCase    ,     return_offsets_mapping=_lowerCamelCase    ,     add_special_tokens=_lowerCamelCase    ,     )

           lowerCAmelCase_			=      tokenizer_r.do_lower_case if hasattr(_lowerCamelCase    ,     '''do_lower_case''' ) else False
           lowerCAmelCase_			=      (
               [
                   ((0, 0), tokenizer_r.cls_token),
                   ((0, 1), '''A'''),
                   ((1, 2), ''','''),
                   ((3, 5), '''na'''),
                   ((5, 6), '''##ï'''),
                   ((6, 8), '''##ve'''),
                   ((9, 15), tokenizer_r.mask_token),
                   ((16, 21), '''Allen'''),
                   ((21, 23), '''##NL'''),
                   ((23, 24), '''##P'''),
                   ((25, 33), '''sentence'''),
                   ((33, 34), '''.'''),
                   ((0, 0), tokenizer_r.sep_token),
               ]
               if not do_lower_case
               else [
                   ((0, 0), tokenizer_r.cls_token),
                   ((0, 1), '''a'''),
                   ((1, 2), ''','''),
                   ((3, 8), '''naive'''),
                   ((9, 15), tokenizer_r.mask_token),
                   ((16, 21), '''allen'''),
                   ((21, 23), '''##nl'''),
                   ((23, 24), '''##p'''),
                   ((25, 33), '''sentence'''),
                   ((33, 34), '''.'''),
                   ((0, 0), tokenizer_r.sep_token),
               ]
           )

           self.assertEqual(
               [e[1] for e in expected_results]    ,     tokenizer_r.convert_ids_to_tokens(tokens['''input_ids'''] ) )
           self.assertEqual([e[0] for e in expected_results]    ,     tokens['''offset_mapping'''] )





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      ['''的''', '''人''', '''有''']
     lowerCAmelCase_			=      ''''''.join(_lowerCamelCase )
     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})''' ):
           lowerCAmelCase_			=      True
           lowerCAmelCase_			=      self.tokenizer_class.from_pretrained(_lowerCamelCase    ,     **_lowerCamelCase )
           lowerCAmelCase_			=      self.rust_tokenizer_class.from_pretrained(_lowerCamelCase    ,     **_lowerCamelCase )

           lowerCAmelCase_			=      tokenizer_p.encode(_lowerCamelCase    ,     add_special_tokens=_lowerCamelCase )
           lowerCAmelCase_			=      tokenizer_r.encode(_lowerCamelCase    ,     add_special_tokens=_lowerCamelCase )

           lowerCAmelCase_			=      tokenizer_r.convert_ids_to_tokens(_lowerCamelCase )
           lowerCAmelCase_			=      tokenizer_p.convert_ids_to_tokens(_lowerCamelCase )

           # it is expected that each Chinese character is not preceded by "##"
           self.assertListEqual(_lowerCamelCase    ,     _lowerCamelCase )
           self.assertListEqual(_lowerCamelCase    ,     _lowerCamelCase )

           lowerCAmelCase_			=      False
           lowerCAmelCase_			=      self.rust_tokenizer_class.from_pretrained(_lowerCamelCase    ,     **_lowerCamelCase )
           lowerCAmelCase_			=      self.tokenizer_class.from_pretrained(_lowerCamelCase    ,     **_lowerCamelCase )

           lowerCAmelCase_			=      tokenizer_r.encode(_lowerCamelCase    ,     add_special_tokens=_lowerCamelCase )
           lowerCAmelCase_			=      tokenizer_p.encode(_lowerCamelCase    ,     add_special_tokens=_lowerCamelCase )

           lowerCAmelCase_			=      tokenizer_r.convert_ids_to_tokens(_lowerCamelCase )
           lowerCAmelCase_			=      tokenizer_p.convert_ids_to_tokens(_lowerCamelCase )

           # it is expected that only the first Chinese character is not preceded by "##".
           lowerCAmelCase_			=      [
               F'''##{token}''' if idx != 0 else token for idx, token in enumerate(_lowerCamelCase )
           ]
           self.assertListEqual(_lowerCamelCase    ,     _lowerCamelCase )
           self.assertListEqual(_lowerCamelCase    ,     _lowerCamelCase )





  @slow
  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      self.tokenizer_class(self.vocab_file    ,     self.word_shape_file    ,     self.word_pronunciation_file )

     lowerCAmelCase_			=      tokenizer.encode('''你好'''    ,     add_special_tokens=_lowerCamelCase )
     lowerCAmelCase_			=      tokenizer.encode('''你是谁'''    ,     add_special_tokens=_lowerCamelCase )

     lowerCAmelCase_			=      tokenizer.build_inputs_with_special_tokens(_lowerCamelCase )
     lowerCAmelCase_			=      tokenizer.build_inputs_with_special_tokens(_lowerCamelCase    ,     _lowerCamelCase )

     assert encoded_sentence == [1] + text + [2]
     assert encoded_pair == [1] + text + [2] + text_a + [2]







  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      self.get_tokenizers(do_lower_case=_lowerCamelCase )
     for tokenizer in tokenizers:
        with self.subTest(F'''{tokenizer.__class__.__name__}''' ):
           lowerCAmelCase_			=      '''你好，你是谁'''
           lowerCAmelCase_			=      tokenizer.tokenize(_lowerCamelCase )
           lowerCAmelCase_			=      tokenizer.convert_tokens_to_ids(_lowerCamelCase )
           lowerCAmelCase_			=      tokenizer.convert_tokens_to_shape_ids(_lowerCamelCase )
           lowerCAmelCase_			=      tokenizer.convert_tokens_to_pronunciation_ids(_lowerCamelCase )
           lowerCAmelCase_			=      tokenizer.prepare_for_model(
               _lowerCamelCase    ,     _lowerCamelCase    ,     _lowerCamelCase    ,     add_special_tokens=_lowerCamelCase )

           lowerCAmelCase_			=      tokenizer.encode_plus(_lowerCamelCase    ,     add_special_tokens=_lowerCamelCase )

           self.assertEqual(_lowerCamelCase    ,     _lowerCamelCase )






'''simple docstring'''

import gc
import threading
import time

import psutil
import torch


class     __UpperCAmelCase       :





  def __init__(	self ):
     lowerCAmelCase_			=      psutil.Process()
     lowerCAmelCase_			=      False





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      -1

     while True:
        lowerCAmelCase_			=      max(self.process.memory_info().rss    ,     self.cpu_memory_peak )

        # can't sleep or will not catch the peak right (this comment is here on purpose)
        if not self.peak_monitoring:
           break





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      True
     lowerCAmelCase_			=      threading.Thread(target=self.peak_monitor )
     lowerCAmelCase_			=      True
     self.thread.start()







  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      False
     self.thread.join()
     return self.cpu_memory_peak






A_     :						List[str]    							=PeakCPUMemory()



def snake_case_      (					)			->					Tuple:
   # Time
   lowerCAmelCase_			=      {'''time''': time.time()}

   gc.collect()
   torch.cuda.empty_cache()

   # CPU mem
   lowerCAmelCase_			=      psutil.Process().memory_info().rss
   cpu_peak_tracker.start()

   # GPU mem
   for i in range(torch.cuda.device_count()):
      lowerCAmelCase_			=      torch.cuda.memory_allocated(__snake_case)
   torch.cuda.reset_peak_memory_stats()

   return measures



def snake_case_      (					__snake_case  :							Any)			->					List[str]:
   # Time
   lowerCAmelCase_			=      {'''time''': time.time() - start_measures['''time''']}

   gc.collect()
   torch.cuda.empty_cache()

   # CPU mem
   lowerCAmelCase_			=      (psutil.Process().memory_info().rss - start_measures['''cpu''']) / 2**20
   lowerCAmelCase_			=      (cpu_peak_tracker.stop() - start_measures['''cpu''']) / 2**20

   # GPU mem
   for i in range(torch.cuda.device_count()):
      lowerCAmelCase_			=      (torch.cuda.memory_allocated(__snake_case) - start_measures[str(__snake_case)]) / 2**20
      lowerCAmelCase_			=      (torch.cuda.max_memory_allocated(__snake_case) - start_measures[str(__snake_case)]) / 2**20

   return measures






def snake_case_      (					__snake_case  :							Dict	,   __snake_case  :							Optional[int])			->					Dict:
   print(F'''{description}:''')
   print(F'''- Time: {measures['time']:.2f}s''')
   for i in range(torch.cuda.device_count()):
      print(F'''- GPU {i} allocated: {measures[str(__snake_case)]:.2f}MiB''')
      lowerCAmelCase_			=      measures[F'''{i}-peak''']
      print(F'''- GPU {i} peak: {peak:.2f}MiB''')
   print(F'''- CPU RAM allocated: {measures['cpu']:.2f}MiB''')
   print(F'''- CPU RAM peak: {measures['cpu-peak']:.2f}MiB''')





