






import unittest

from transformers import AlbertTokenizer, AlbertTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


UpperCamelCase    							=      get_tests_dir('fixtures/spiece.model')







@require_sentencepiece
@require_tokenizers
class 		_A						( UpperCAmelCase_	,				unittest.TestCase ):
  lowercase_						:			Union[str, Any]						=					AlbertTokenizer
  lowercase_						:			int						=					AlbertTokenizerFast
  lowercase_						:			str						=					True
  lowercase_						:			List[str]						=					True
  lowercase_						:			Any						=					True

  def    a					(    self						:	List[str]			):
     """simple docstring"""

     super().setUp()

     # We have a SentencePiece fixture for testing
     __UpperCamelCase	:			Any					=					AlbertTokenizer(lowerCamelCase__			)
     tokenizer.save_pretrained(self.tmpdirname			)

  def    a					(    self						:	Dict   ,				lowerCamelCase__						:	List[Any]			):
     """simple docstring"""

     __UpperCamelCase	:			Dict					=					"""this is a test"""
     __UpperCamelCase	:			Any					=					"""this is a test"""
     return input_text, output_text

  def    a					(    self						:	Optional[int]			):
     """simple docstring"""

     __UpperCamelCase	:			str					=					"""<pad>"""
     __UpperCamelCase	:			Tuple					=					0

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

  def    a					(    self						:	int			):
     """simple docstring"""

     __UpperCamelCase	:			List[Any]					=					list(self.get_tokenizer().get_vocab().keys()			)

     self.assertEqual(vocab_keys[0]   ,				"""<pad>"""			)
     self.assertEqual(vocab_keys[1]   ,				"""<unk>"""			)
     self.assertEqual(vocab_keys[-1]   ,				"""▁eloquent"""			)
     self.assertEqual(len(lowerCamelCase__			)   ,				3_00_00			)

  def    a					(    self						:	Dict			):
     """simple docstring"""

     self.assertEqual(self.get_tokenizer().vocab_size   ,				3_00_00			)

  def    a					(    self						:	Optional[Any]			):
     """simple docstring"""

     if not self.test_rust_tokenizer:
        return

     __UpperCamelCase	:			Dict					=					self.get_tokenizer()
     __UpperCamelCase	:			str					=					self.get_rust_tokenizer()

     __UpperCamelCase	:			Optional[int]					=					"""I was born in 92000, and this is falsé."""

     __UpperCamelCase	:			int					=					tokenizer.tokenize(lowerCamelCase__			)
     __UpperCamelCase	:			Tuple					=					rust_tokenizer.tokenize(lowerCamelCase__			)
     self.assertListEqual(lowerCamelCase__   ,				lowerCamelCase__			)

     __UpperCamelCase	:			int					=					tokenizer.encode(lowerCamelCase__   ,				add_special_tokens=lowerCamelCase__			)
     __UpperCamelCase	:			Dict					=					rust_tokenizer.encode(lowerCamelCase__   ,				add_special_tokens=lowerCamelCase__			)
     self.assertListEqual(lowerCamelCase__   ,				lowerCamelCase__			)

     __UpperCamelCase	:			Dict					=					self.get_rust_tokenizer()
     __UpperCamelCase	:			Any					=					tokenizer.encode(lowerCamelCase__			)
     __UpperCamelCase	:			str					=					rust_tokenizer.encode(lowerCamelCase__			)
     self.assertListEqual(lowerCamelCase__   ,				lowerCamelCase__			)

  def    a					(    self						:	List[Any]			):
     """simple docstring"""

     __UpperCamelCase	:			List[str]					=					AlbertTokenizer(lowerCamelCase__   ,				keep_accents=lowerCamelCase__			)

     __UpperCamelCase	:			Dict					=					tokenizer.tokenize("""This is a test"""			)
     self.assertListEqual(lowerCamelCase__   ,				["""▁this""", """▁is""", """▁a""", """▁test"""]			)

     self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase__			)   ,				[48, 25, 21, 12_89]			)

     __UpperCamelCase	:			Dict					=					tokenizer.tokenize("""I was born in 92000, and this is falsé."""			)
     self.assertListEqual(
         lowerCamelCase__   ,				["""▁i""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """é""", """."""]			)
     __UpperCamelCase	:			Dict					=					tokenizer.convert_tokens_to_ids(lowerCamelCase__			)
     self.assertListEqual(lowerCamelCase__   ,				[31, 23, 3_86, 19, 5_61, 30_50, 15, 17, 48, 25, 82_56, 18, 1, 9]			)

     __UpperCamelCase	:			int					=					tokenizer.convert_ids_to_tokens(lowerCamelCase__			)
     self.assertListEqual(
         lowerCamelCase__   ,				["""▁i""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """<unk>""", """."""]   ,				)

  def    a					(    self						:	List[str]			):
     """simple docstring"""

     __UpperCamelCase	:			Optional[int]					=					AlbertTokenizer(lowerCamelCase__			)

     __UpperCamelCase	:			List[Any]					=					tokenizer.encode("""sequence builders"""			)
     __UpperCamelCase	:			Optional[Any]					=					tokenizer.encode("""multi-sequence build"""			)

     __UpperCamelCase	:			Tuple					=					tokenizer.build_inputs_with_special_tokens(lowerCamelCase__			)
     __UpperCamelCase	:			Optional[Any]					=					tokenizer.build_inputs_with_special_tokens(lowerCamelCase__   ,				lowerCamelCase__			)

     assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
     assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
         tokenizer.sep_token_id
     ]

  @slow
  def    a					(    self						:	Any			):
     """simple docstring"""

     __UpperCamelCase	:			Union[str, Any]					=					{"""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, 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], [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]], """input_ids""": [[2, 2_19_70, 13, 5, 60_92, 1_67, 28, 71_03, 21_53, 6_73, 8, 70_28, 1_20_51, 18, 17, 71_03, 21_53, 6_73, 8, 35_15, 1_86_84, 8, 44_61, 6, 19_27, 2_97, 8, 1_20_60, 26_07, 18, 13, 5, 44_61, 15, 1_05_38, 38, 8, 1_35, 15, 8_22, 58, 15, 9_93, 1_03_63, 15, 14_60, 80_05, 44_61, 15, 9_93, 2_55, 23_28, 9, 9, 9, 6, 26, 11_12, 8_16, 32_60, 13, 5, 1_03, 23_77, 6, 17, 11_12, 8_16, 27_82, 13, 5, 1_03, 1_06_41, 6, 29, 84, 25_12, 24_30, 7_82, 1_86_84, 27_61, 19, 8_08, 24_30, 25_56, 17, 8_55, 14_80, 94_77, 40_91, 1_28, 1_17_12, 15, 71_03, 21_53, 6_73, 17, 2_48_83, 99_90, 9, 3], [2, 1_15_02, 25, 10_06, 20, 7_82, 8, 1_18_09, 8_55, 17_32, 1_93_93, 1_86_67, 37, 3_67, 2_10_18, 69, 18_54, 34, 1_18_60, 1_91_24, 27, 1_56, 2_25, 17, 1_93, 41_41, 19, 65, 91_24, 9, 3, 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], [2, 14, 22_31, 8_86, 23_85, 1_76_59, 84, 14, 1_67_92, 19_52, 9, 3, 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]], """token_type_ids""": [[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, 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, 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, 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=lowerCamelCase__   ,				model_name="""albert-base-v2"""   ,				revision="""6b6560eaf5ff2e250b00c50f380c5389a9c2d82e"""   ,				)











import re

from filelock import FileLock


try:
       import nltk

       UpperCamelCase    							=      True
except (ImportError, ModuleNotFoundError):
       UpperCamelCase    							=      False

if NLTK_AVAILABLE:
       with FileLock('.lock') as lock:
              nltk.download('punkt', quiet=True)


def 				__lowerCamelCase     (							__lowerCAmelCase							:					str							)     ->  str:
   re.sub("""<n>"""					,							""""""					,							__lowerCAmelCase							)  # remove pegasus newline char
   assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
   return "\n".join(nltk.sent_tokenize(__lowerCAmelCase							)							)



