



"""simple docstring"""
import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


UpperCAmelCase						:		Tuple			= get_tests_dir("fixtures/test_sentencepiece_bpe.model")


class    SCREAMING_SNAKE_CASE__ (							__UpperCAmelCase      ,  unittest.TestCase   ):
    lowercase__      =   BartphoTokenizer
    lowercase__      =   False
    lowercase__      =   True

    def 					_UpperCAmelCase	(				self			:				str):







      """simple docstring"""







      super().setUp()

      lowercase_								= ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]
      lowercase_								= dict(zip(lowerCAmelCase_ ,  range(len(lowerCAmelCase_))))
      lowercase_								= {"""unk_token""": """<unk>"""}

      lowercase_								= os.path.join(self.tmpdirname ,  VOCAB_FILES_NAMES["""monolingual_vocab_file"""])
      with open(self.monolingual_vocab_file ,  """w""" ,  encoding="""utf-8""") as fp:
        for token in vocab_tokens:
          fp.write(F'''{token} {vocab_tokens[token]}\n''')

      lowercase_								= BartphoTokenizer(lowerCAmelCase_ ,  self.monolingual_vocab_file ,  **self.special_tokens_map)
      tokenizer.save_pretrained(self.tmpdirname)

    def 					_UpperCAmelCase	(				self			:				Union[str, Any] ,  **lowerCAmelCase_			:				Dict):







      """simple docstring"""







      kwargs.update(self.special_tokens_map)
      return BartphoTokenizer.from_pretrained(self.tmpdirname ,  **lowerCAmelCase_)

    def 					_UpperCAmelCase	(				self			:				Tuple ,  lowerCAmelCase_			:				List[str]):







      """simple docstring"""







      lowercase_								= """This is a là test"""
      lowercase_								= """This is a<unk><unk> test"""
      return input_text, output_text




    def 					_UpperCAmelCase	(				self			:				Tuple):







      """simple docstring"""







      lowercase_								= BartphoTokenizer(lowerCAmelCase_ ,  self.monolingual_vocab_file ,  **self.special_tokens_map)
      lowercase_								= """This is a là test"""
      lowercase_								= """▁This ▁is ▁a ▁l à ▁t est""".split()
      lowercase_								= tokenizer.tokenize(lowerCAmelCase_)
      self.assertListEqual(lowerCAmelCase_ ,  lowerCAmelCase_)

      lowercase_								= tokens + [tokenizer.unk_token]
      lowercase_								= [4, 5, 6, 3, 3, 7, 8, 3]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase_) ,  lowerCAmelCase_)






"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase						:		List[Any]			= logging.get_logger(__name__)

UpperCAmelCase						:		Optional[Any]			= {
    "alibaba-damo/mgp-str-base": "https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/config.json",
}


class    SCREAMING_SNAKE_CASE__ (							__UpperCAmelCase   ):
    lowercase__      =   "mgp-str"

    def __init__(				self			:				Optional[Any] ,  lowerCAmelCase_			:				Optional[Any]=[3_2, 1_2_8] ,  lowerCAmelCase_			:				Union[str, Any]=4 ,  lowerCAmelCase_			:				Dict=3 ,  lowerCAmelCase_			:				List[str]=2_7 ,  lowerCAmelCase_			:				str=3_8 ,  lowerCAmelCase_			:				Optional[int]=5_0_2_5_7 ,  lowerCAmelCase_			:				Any=3_0_5_2_2 ,  lowerCAmelCase_			:				str=7_6_8 ,  lowerCAmelCase_			:				Any=1_2 ,  lowerCAmelCase_			:				Optional[Any]=1_2 ,  lowerCAmelCase_			:				Tuple=4.0 ,  lowerCAmelCase_			:				str=True ,  lowerCAmelCase_			:				List[str]=False ,  lowerCAmelCase_			:				List[Any]=1E-5 ,  lowerCAmelCase_			:				Any=0.0 ,  lowerCAmelCase_			:				int=0.0 ,  lowerCAmelCase_			:				str=0.0 ,  lowerCAmelCase_			:				Dict=False ,  lowerCAmelCase_			:				List[str]=0.02 ,  **lowerCAmelCase_			:				str ,  ):







      """simple docstring"""







      super().__init__(**lowerCAmelCase_)

      lowercase_								= image_size
      lowercase_								= patch_size
      lowercase_								= num_channels
      lowercase_								= max_token_length
      lowercase_								= num_character_labels
      lowercase_								= num_bpe_labels
      lowercase_								= num_wordpiece_labels
      lowercase_								= hidden_size
      lowercase_								= num_hidden_layers
      lowercase_								= num_attention_heads
      lowercase_								= mlp_ratio
      lowercase_								= distilled
      lowercase_								= layer_norm_eps
      lowercase_								= drop_rate
      lowercase_								= qkv_bias
      lowercase_								= attn_drop_rate
      lowercase_								= drop_path_rate
      lowercase_								= output_aa_attentions
      lowercase_								= initializer_range

