
"""simple docstring"""






import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
      from .tokenization_albert import AlbertTokenizer
else:
      UpperCamelCase_							=					None

UpperCamelCase_							=					logging.get_logger(__name__)
UpperCamelCase_							=					{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

UpperCamelCase_							=					{
    'vocab_file': {
        'albert-base-v1': 'https://huggingface.co/albert-base-v1/resolve/main/spiece.model',
        'albert-large-v1': 'https://huggingface.co/albert-large-v1/resolve/main/spiece.model',
        'albert-xlarge-v1': 'https://huggingface.co/albert-xlarge-v1/resolve/main/spiece.model',
        'albert-xxlarge-v1': 'https://huggingface.co/albert-xxlarge-v1/resolve/main/spiece.model',
        'albert-base-v2': 'https://huggingface.co/albert-base-v2/resolve/main/spiece.model',
        'albert-large-v2': 'https://huggingface.co/albert-large-v2/resolve/main/spiece.model',
        'albert-xlarge-v2': 'https://huggingface.co/albert-xlarge-v2/resolve/main/spiece.model',
        'albert-xxlarge-v2': 'https://huggingface.co/albert-xxlarge-v2/resolve/main/spiece.model',
    },
    'tokenizer_file': {
        'albert-base-v1': 'https://huggingface.co/albert-base-v1/resolve/main/tokenizer.json',
        'albert-large-v1': 'https://huggingface.co/albert-large-v1/resolve/main/tokenizer.json',
        'albert-xlarge-v1': 'https://huggingface.co/albert-xlarge-v1/resolve/main/tokenizer.json',
        'albert-xxlarge-v1': 'https://huggingface.co/albert-xxlarge-v1/resolve/main/tokenizer.json',
        'albert-base-v2': 'https://huggingface.co/albert-base-v2/resolve/main/tokenizer.json',
        'albert-large-v2': 'https://huggingface.co/albert-large-v2/resolve/main/tokenizer.json',
        'albert-xlarge-v2': 'https://huggingface.co/albert-xlarge-v2/resolve/main/tokenizer.json',
        'albert-xxlarge-v2': 'https://huggingface.co/albert-xxlarge-v2/resolve/main/tokenizer.json',
    },
}

UpperCamelCase_							=					{
    'albert-base-v1': 512,
    'albert-large-v1': 512,
    'albert-xlarge-v1': 512,
    'albert-xxlarge-v1': 512,
    'albert-base-v2': 512,
    'albert-large-v2': 512,
    'albert-xlarge-v2': 512,
    'albert-xxlarge-v2': 512,
}

UpperCamelCase_							=					'▁'





class 				snake_case    (			__A						):
   a_ :						Union[str, Any]			 =			VOCAB_FILES_NAMES
   a_ :						Dict			 =			PRETRAINED_VOCAB_FILES_MAP
   a_ :						Optional[Any]			 =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   a_ :						List[Any]			 =			AlbertTokenizer







   def __init__(      self    ,				__UpperCAmelCase=None    ,				__UpperCAmelCase=None    ,				__UpperCAmelCase=True    ,				__UpperCAmelCase=True    ,				__UpperCAmelCase=False    ,				__UpperCAmelCase="[CLS]"    ,				__UpperCAmelCase="[SEP]"    ,				__UpperCAmelCase="<unk>"    ,				__UpperCAmelCase="[SEP]"    ,				__UpperCAmelCase="<pad>"    ,				__UpperCAmelCase="[CLS]"    ,				__UpperCAmelCase="[MASK]"    ,				**__UpperCAmelCase    ,				)					->Tuple:
      # Mask token behave like a normal word, i.e. include the space before it and
      # is included in the raw text, there should be a match in a non-normalized sentence.
      a_							=			(
          AddedToken(_UpperCamelCase    ,				lstrip=_UpperCamelCase    ,				rstrip=_UpperCamelCase    ,				normalized=_UpperCamelCase)
          if isinstance(_UpperCamelCase    ,				_UpperCamelCase)
          else mask_token
      )

      super().__init__(
          _UpperCamelCase    ,				tokenizer_file=_UpperCamelCase    ,				do_lower_case=_UpperCamelCase    ,				remove_space=_UpperCamelCase    ,				keep_accents=_UpperCamelCase    ,				bos_token=_UpperCamelCase    ,				eos_token=_UpperCamelCase    ,				unk_token=_UpperCamelCase    ,				sep_token=_UpperCamelCase    ,				pad_token=_UpperCamelCase    ,				cls_token=_UpperCamelCase    ,				mask_token=_UpperCamelCase    ,				**_UpperCamelCase    ,				)

      a_							=			do_lower_case
      a_							=			remove_space
      a_							=			keep_accents
      a_							=			vocab_file
      a_							=			False if not self.vocab_file else True







   def 					UpperCAmelCase__     (      self    ,				__UpperCAmelCase    ,				__UpperCAmelCase = None)					->List[int]:
      a_							=			[self.sep_token_id]
      a_							=			[self.cls_token_id]
      if token_ids_a is None:
         return cls + token_ids_a + sep
      return cls + token_ids_a + sep + token_ids_a + sep







   def 					UpperCAmelCase__     (      self    ,				__UpperCAmelCase    ,				__UpperCAmelCase = None)					->List[int]:
      a_							=			[self.sep_token_id]
      a_							=			[self.cls_token_id]

      if token_ids_a is None:
         return len(cls + token_ids_a + sep) * [0]
      return len(cls + token_ids_a + sep) * [0] + len(token_ids_a + sep) * [1]







   def 					UpperCAmelCase__     (      self    ,				__UpperCAmelCase    ,				__UpperCAmelCase = None)					->Tuple[str]:
      if not self.can_save_slow_tokenizer:
         raise ValueError(
             "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
             "tokenizer.")

      if not os.path.isdir(_UpperCamelCase):
         logger.error(F'''Vocabulary path ({save_directory}) should be a directory''')
         return
      a_							=			os.path.join(
          _UpperCamelCase    ,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])

      if os.path.abspath(self.vocab_file) != os.path.abspath(_UpperCamelCase):
         copyfile(self.vocab_file    ,				_UpperCamelCase)

      return (out_vocab_file,)


import unittest

from transformers.testing_utils import CaptureStdout
from transformers.tools.python_interpreter import evaluate


def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__       ):
						return x + 2





class 	snake_case_   (		unittest.TestCase					):







			'''simple docstring'''

			def 				snake_case__(     self :				Optional[Any]							)      ->int:
									snake_case_   =	'''x = 3'''
									snake_case_   =	{}
									snake_case_   =	evaluate(_UpperCamelCase							,   {}							,   state=_UpperCamelCase							)
									assert result == 3
									self.assertDictEqual(_UpperCamelCase							,   {'''x''': 3}							)

									snake_case_   =	'''x = y'''
									snake_case_   =	{'''y''': 5}
									snake_case_   =	evaluate(_UpperCamelCase							,   {}							,   state=_UpperCamelCase							)
									# evaluate returns the value of the last assignment.
									assert result == 5
									self.assertDictEqual(_UpperCamelCase							,   {'''x''': 5, '''y''': 5}							)







			def 				snake_case__(     self :				Dict							)      ->Optional[int]:
									snake_case_   =	'''y = add_two(x)'''
									snake_case_   =	{'''x''': 3}
									snake_case_   =	evaluate(_UpperCamelCase							,   {'''add_two''': add_two}							,   state=_UpperCamelCase							)
									assert result == 5
									self.assertDictEqual(_UpperCamelCase							,   {'''x''': 3, '''y''': 5}							)

									# Won't work without the tool
									with CaptureStdout() as out:
															snake_case_   =	evaluate(_UpperCamelCase							,   {}							,   state=_UpperCamelCase							)
									assert result is None
									assert "tried to execute add_two" in out.out







			def 				snake_case__(     self :				Union[str, Any]							)      ->Dict:
									snake_case_   =	'''x = 3'''
									snake_case_   =	{}
									snake_case_   =	evaluate(_UpperCamelCase							,   {}							,   state=_UpperCamelCase							)
									assert result == 3
									self.assertDictEqual(_UpperCamelCase							,   {'''x''': 3}							)







			def 				snake_case__(     self :				Optional[int]							)      ->Optional[int]:
									snake_case_   =	'''test_dict = {\'x\': x, \'y\': add_two(x)}'''
									snake_case_   =	{'''x''': 3}
									snake_case_   =	evaluate(_UpperCamelCase							,   {'''add_two''': add_two}							,   state=_UpperCamelCase							)
									self.assertDictEqual(_UpperCamelCase							,   {'''x''': 3, '''y''': 5}							)
									self.assertDictEqual(_UpperCamelCase							,   {'''x''': 3, '''test_dict''': {'''x''': 3, '''y''': 5}}							)







			def 				snake_case__(     self :				Dict							)      ->str:
									snake_case_   =	'''x = 3\ny = 5'''
									snake_case_   =	{}
									snake_case_   =	evaluate(_UpperCamelCase							,   {}							,   state=_UpperCamelCase							)
									# evaluate returns the value of the last assignment.
									assert result == 5
									self.assertDictEqual(_UpperCamelCase							,   {'''x''': 3, '''y''': 5}							)







			def 				snake_case__(     self :				str							)      ->Tuple:
									snake_case_   =	'''text = f\'This is x: {x}.\''''
									snake_case_   =	{'''x''': 3}
									snake_case_   =	evaluate(_UpperCamelCase							,   {}							,   state=_UpperCamelCase							)
									# evaluate returns the value of the last assignment.
									assert result == "This is x: 3."
									self.assertDictEqual(_UpperCamelCase							,   {'''x''': 3, '''text''': '''This is x: 3.'''}							)







			def 				snake_case__(     self :				Optional[Any]							)      ->List[str]:
									snake_case_   =	'''if x <= 3:\n    y = 2\nelse:\n    y = 5'''
									snake_case_   =	{'''x''': 3}
									snake_case_   =	evaluate(_UpperCamelCase							,   {}							,   state=_UpperCamelCase							)
									# evaluate returns the value of the last assignment.
									assert result == 2
									self.assertDictEqual(_UpperCamelCase							,   {'''x''': 3, '''y''': 2}							)

									snake_case_   =	{'''x''': 8}
									snake_case_   =	evaluate(_UpperCamelCase							,   {}							,   state=_UpperCamelCase							)
									# evaluate returns the value of the last assignment.
									assert result == 5
									self.assertDictEqual(_UpperCamelCase							,   {'''x''': 8, '''y''': 5}							)







			def 				snake_case__(     self :				str							)      ->str:
									snake_case_   =	'''test_list = [x, add_two(x)]'''
									snake_case_   =	{'''x''': 3}
									snake_case_   =	evaluate(_UpperCamelCase							,   {'''add_two''': add_two}							,   state=_UpperCamelCase							)
									self.assertListEqual(_UpperCamelCase							,   [3, 5]							)
									self.assertDictEqual(_UpperCamelCase							,   {'''x''': 3, '''test_list''': [3, 5]}							)







			def 				snake_case__(     self :				Any							)      ->List[Any]:
									snake_case_   =	'''y = x'''
									snake_case_   =	{'''x''': 3}
									snake_case_   =	evaluate(_UpperCamelCase							,   {}							,   state=_UpperCamelCase							)
									assert result == 3
									self.assertDictEqual(_UpperCamelCase							,   {'''x''': 3, '''y''': 3}							)







			def 				snake_case__(     self :				Optional[int]							)      ->Dict:
									snake_case_   =	'''test_list = [x, add_two(x)]\ntest_list[1]'''
									snake_case_   =	{'''x''': 3}
									snake_case_   =	evaluate(_UpperCamelCase							,   {'''add_two''': add_two}							,   state=_UpperCamelCase							)
									assert result == 5
									self.assertDictEqual(_UpperCamelCase							,   {'''x''': 3, '''test_list''': [3, 5]}							)

									snake_case_   =	'''test_dict = {\'x\': x, \'y\': add_two(x)}\ntest_dict[\'y\']'''
									snake_case_   =	{'''x''': 3}
									snake_case_   =	evaluate(_UpperCamelCase							,   {'''add_two''': add_two}							,   state=_UpperCamelCase							)
									assert result == 5
									self.assertDictEqual(_UpperCamelCase							,   {'''x''': 3, '''test_dict''': {'''x''': 3, '''y''': 5}}							)







			def 				snake_case__(     self :				Optional[Any]							)      ->int:
									snake_case_   =	'''x = 0\nfor i in range(3):\n    x = i'''
									snake_case_   =	{}
									snake_case_   =	evaluate(_UpperCamelCase							,   {'''range''': range}							,   state=_UpperCamelCase							)
									assert result == 2
									self.assertDictEqual(_UpperCamelCase							,   {'''x''': 2, '''i''': 2}							)