
import unittest

from transformers import ErnieMTokenizer
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 		__magic_name__				( lowercase_						,unittest.TestCase					):


  """simple docstring"""





  _UpperCamelCase						 = ErnieMTokenizer
  _UpperCamelCase						 = False
  _UpperCamelCase						 = True
  _UpperCamelCase						 = False
  _UpperCamelCase						 = False


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

    # We have a SentencePiece fixture for testing
    _lowerCamelCase      =						ErnieMTokenizer(a__	,		unk_token='''<unk>'''	,		pad_token='''<pad>'''		)
    tokenizer.save_pretrained(self.tmpdirname		)


  def     _UpperCAmelCase  (					self	,		a__		):
    _lowerCamelCase      =						'''this is a test'''
    _lowerCamelCase      =						'''this is a test'''
    return input_text, output_text


  def     _UpperCAmelCase  (					self		):
    _lowerCamelCase      =						'''<pad>'''
    _lowerCamelCase      =						0

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


  def     _UpperCAmelCase  (					self		):
    _lowerCamelCase      =						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(a__		)	,		3_00_00		)


  def     _UpperCAmelCase  (					self		):
    self.assertEqual(self.get_tokenizer().vocab_size	,		3_00_00		)


  def     _UpperCAmelCase  (					self		):
    if not self.test_rust_tokenizer:
      return

    _lowerCamelCase      =						self.get_tokenizer()
    _lowerCamelCase      =						self.get_rust_tokenizer()

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

    _lowerCamelCase      =						tokenizer.tokenize(a__		)
    _lowerCamelCase      =						rust_tokenizer.tokenize(a__		)
    self.assertListEqual(a__	,		a__		)

    _lowerCamelCase      =						tokenizer.encode(a__	,		add_special_tokens=a__		)
    _lowerCamelCase      =						rust_tokenizer.encode(a__	,		add_special_tokens=a__		)
    self.assertListEqual(a__	,		a__		)

    _lowerCamelCase      =						self.get_rust_tokenizer()
    _lowerCamelCase      =						tokenizer.encode(a__		)
    _lowerCamelCase      =						rust_tokenizer.encode(a__		)
    self.assertListEqual(a__	,		a__		)


  def     _UpperCAmelCase  (					self		):
    _lowerCamelCase      =						ErnieMTokenizer(a__	,		do_lower_case=a__	,		unk_token='''<unk>'''	,		pad_token='''<pad>'''		)

    _lowerCamelCase      =						tokenizer.tokenize('''This is a test'''		)
    self.assertListEqual(a__	,		['''▁this''', '''▁is''', '''▁a''', '''▁test''']		)

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

    _lowerCamelCase      =						tokenizer.tokenize('''I was born in 92000, and this is falsé.'''		)
    # ErnieMTokenizer(paddlenlp implementation) outputs '9' instead of '_9' so to mimic that '_9' is changed to '9'
    self.assertListEqual(
        a__	,		['''▁i''', '''▁was''', '''▁born''', '''▁in''', '''9''', '''2000''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''é''', '''.''']		)
    _lowerCamelCase      =						tokenizer.convert_tokens_to_ids(a__		)
    self.assertListEqual(a__	,		[31, 23, 3_86, 19, 5_18, 30_50, 15, 17, 48, 25, 82_56, 18, 1, 9]		)

    _lowerCamelCase      =						tokenizer.convert_ids_to_tokens(a__		)
    self.assertListEqual(
        a__	,		['''▁i''', '''▁was''', '''▁born''', '''▁in''', '''9''', '''2000''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''.''']	,		)


  def     _UpperCAmelCase  (					self		):
    _lowerCamelCase      =						ErnieMTokenizer(a__	,		unk_token='''<unk>'''	,		pad_token='''<pad>'''		)

    _lowerCamelCase      =						tokenizer.encode('''sequence builders'''		)
    _lowerCamelCase      =						tokenizer.encode('''multi-sequence build'''		)

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

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


  @slow
  def     _UpperCAmelCase  (					self		):
    # fmt: off
    _lowerCamelCase      =						{'''input_ids''': [[0, 1_10_62, 8_27_72, 7, 15, 8_27_72, 5_38, 5_15_29, 2_37, 1_71_98, 12_90, 2_06, 9, 21_51_75, 13_14, 1_36, 1_71_98, 12_90, 2_06, 9, 5_63_59, 42, 12_20_09, 9, 1_64_66, 16, 8_73_44, 45_37, 9, 47_17, 7_83_81, 6, 15_99_58, 7, 15, 2_44_80, 6_18, 4, 5_27, 2_26_93, 9, 3_04, 4, 27_77, 2_44_80, 98_74, 4, 4_35_23, 5_94, 4, 8_03, 1_83_92, 3_31_89, 18, 4, 4_35_23, 2_44_47, 5, 5, 5, 16, 1_00, 2_49_55, 8_36_58, 96_26, 14_40_57, 15, 8_39, 2_23_35, 16, 1_36, 2_49_55, 8_36_58, 8_34_79, 15, 3_91_02, 7_24, 16, 6_78, 6_45, 64_60, 13_28, 45_89, 42, 12_20_09, 11_57_74, 23, 35_59, 13_28, 4_68_76, 7, 1_36, 5_38_94, 19_40, 4_22_27, 4_11_59, 1_77_21, 8_23, 4_25, 4, 2_75_12, 9_87_22, 2_06, 1_36, 55_31, 49_70, 9_19, 1_73_36, 5, 2], [0, 2_00_80, 6_18, 83, 8_27_75, 47, 4_79, 9, 15_17, 73, 5_38_94, 3_33, 8_05_81, 11_01_17, 1_88_11, 52_56, 12_95, 51, 15_25_26, 2_97, 79_86, 3_90, 12_44_16, 5_38, 3_54_31, 2_14, 98, 1_50_44, 2_57_37, 1_36, 71_08, 4_37_01, 23, 7_56, 13_53_55, 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, 1, 1, 1, 1], [0, 5_81, 6_37_73, 11_94_55, 6, 14_77_97, 8_82_03, 7, 6_45, 70, 21, 32_85, 1_02_69, 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, 1, 1, 1, 1]]}
    # fmt: on

    self.tokenizer_integration_test_util(
        expected_encoding=a__	,		model_name='''susnato/ernie-m-base_pytorch'''	,		sequences=[
            '''Transformers (formerly known as pytorch-transformers and pytorch-pretrained-bert) provides '''
            '''general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet...) for Natural '''
            '''Language Understanding (NLU) and Natural Language Generation (NLG) with over32+ pretrained '''
            '''models in100+ languages and deep interoperability between Jax, PyTorch and TensorFlow.''',
            '''BERT is designed to pre-train deep bidirectional representations from unlabeled text by jointly '''
            '''conditioning on both left and right context in all layers.''',
            '''The quick brown fox jumps over the lazy dog.''',
        ]	,		)






from __future__ import annotations

from collections.abc import Iterable
from dataclasses import dataclass
from typing import Any

class 		__magic_name__				:


  """simple docstring"""





  _UpperCamelCase						 = ("_front", "_back", "_len")

  @dataclass
  class 		__magic_name__				:


    """simple docstring"""





    _UpperCamelCase						 = None
    _UpperCamelCase						 = None
    _UpperCamelCase						 = None







  class 		__magic_name__				:


    """simple docstring"""





    _UpperCamelCase						 = ("_cur",)


    def __init__(					self	,		a__		):
      _lowerCamelCase      =						cur


    def __iter__(					self		):
      return self


    def     _UpperCAmelCase  (					self		):
      if self._cur is None:
        # finished iterating
        raise StopIteration
      _lowerCamelCase      =						self._cur.val
      _lowerCamelCase      =						self._cur.next_node

      return val







  def __init__(					self	,		a__ = None		):
    _lowerCamelCase      =						None
    _lowerCamelCase      =						None
    _lowerCamelCase      =						0

    if iterable is not None:
      # append every value to the deque
      for val in iterable:
        self.append(a__		)


  def     _UpperCAmelCase  (					self	,		a__		):
    _lowerCamelCase      =						self._Node(a__	,		a__	,		a__		)
    if self.is_empty():
      # front = back
      _lowerCamelCase      =						_lowerCamelCase      =						node
      _lowerCamelCase      =						1
    else:
      # connect nodes
      _lowerCamelCase      =						node
      _lowerCamelCase      =						self._back
      _lowerCamelCase      =						node  # assign new back to the new node

      self._len += 1

      # make sure there were no errors
      assert not self.is_empty(), "Error on appending value."


  def     _UpperCAmelCase  (					self	,		a__		):
    _lowerCamelCase      =						self._Node(a__	,		a__	,		a__		)
    if self.is_empty():
      # front = back
      _lowerCamelCase      =						_lowerCamelCase      =						node
      _lowerCamelCase      =						1
    else:
      # connect nodes
      _lowerCamelCase      =						self._front
      _lowerCamelCase      =						node
      _lowerCamelCase      =						node  # assign new front to the new node

      self._len += 1

      # make sure there were no errors
      assert not self.is_empty(), "Error on appending value."


  def     _UpperCAmelCase  (					self	,		a__		):
    for val in iterable:
      self.append(a__		)


  def     _UpperCAmelCase  (					self	,		a__		):
    for val in iterable:
      self.appendleft(a__		)


  def     _UpperCAmelCase  (					self		):
    assert not self.is_empty(), "Deque is empty."

    _lowerCamelCase      =						self._back
    _lowerCamelCase      =						self._back.prev_node  # set new back
    # drop the last node - python will deallocate memory automatically
    _lowerCamelCase      =						None

    self._len -= 1

    return topop.val


  def     _UpperCAmelCase  (					self		):
    assert not self.is_empty(), "Deque is empty."

    _lowerCamelCase      =						self._front
    _lowerCamelCase      =						self._front.next_node  # set new front and drop the first node
    _lowerCamelCase      =						None

    self._len -= 1

    return topop.val


  def     _UpperCAmelCase  (					self		):
    return self._front is None


  def __len__(					self		):
    return self._len


  def __eq__(					self	,		a__		):

    if not isinstance(a__	,		a__		):
      return NotImplemented

    _lowerCamelCase      =						self._front
    _lowerCamelCase      =						other._front

    # if the length of the dequeues are not the same, they are not equal
    if len(self		) != len(a__		):
      return False

    while me is not None and oth is not None:
      # compare every value
      if me.val != oth.val:
        return False
      _lowerCamelCase      =						me.next_node
      _lowerCamelCase      =						oth.next_node

    return True


  def __iter__(					self		):
    return Deque._Iterator(self._front		)


  def __repr__(					self		):
    _lowerCamelCase      =						[]
    _lowerCamelCase      =						self._front
    while aux is not None:
      # append the values in a list to display
      values_list.append(aux.val		)
      _lowerCamelCase      =						aux.next_node

    return f'''[{', '.join(repr(a__		) for val in values_list		)}]'''


if __name__ == "__main__":
  import doctest

  doctest.testmod()




