
'''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


A			      =      get_tests_dir('fixtures/test_sentencepiece_bpe.model')




class     __snake_case		(   a__    ,   unittest.TestCase):
					_lowerCAmelCase			     =	BartphoTokenizer
					_lowerCAmelCase			     =	False
					_lowerCAmelCase			     =	True
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									super().setUp()

									lowerCamelCase					:			Union[str, Any]									= ['▁This', '▁is', '▁a', '▁t', 'est']
									lowerCamelCase					:			int									= dict(zip(A,    range(len(A      )      )      )      )
									lowerCamelCase					:			Optional[int]									= {'unk_token': '<unk>'}

									lowerCamelCase					:			str									= 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'''      )

									lowerCamelCase					:			Optional[int]									= BartphoTokenizer(A,    self.monolingual_vocab_file,    **self.special_tokens_map      )
									tokenizer.save_pretrained(self.tmpdirname      )
					def     UpperCAmelCase_							(     self,    **A      ):

									"""simple docstring"""


									kwargs.update(self.special_tokens_map      )
									return BartphoTokenizer.from_pretrained(self.tmpdirname,    **A      )
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			List[str]									= 'This is a là test'
									lowerCamelCase					:			Optional[Any]									= 'This is a<unk><unk> test'
									return input_text, output_text




					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[int]									= BartphoTokenizer(A,    self.monolingual_vocab_file,    **self.special_tokens_map      )
									lowerCamelCase					:			List[str]									= 'This is a là test'
									lowerCamelCase					:			List[Any]									= '▁This ▁is ▁a ▁l à ▁t est'.split()
									lowerCamelCase					:			int									= tokenizer.tokenize(A      )
									self.assertListEqual(A,    A      )

									lowerCamelCase					:			Any									= tokens + [tokenizer.unk_token]
									lowerCamelCase					:			Union[str, Any]									= [4, 5, 6, 3, 3, 7, 8, 3]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(A      ),    A      )


'''simple docstring'''






import warnings
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A			      =      logging.get_logger(__name__)

A			      =      {
    'nvidia/segformer-b0-finetuned-ade-512-512': (
        'https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512/resolve/main/config.json'
    ),
    # See all SegFormer models at https://huggingface.co/models?filter=segformer
}




class     __snake_case		(   a__):
					_lowerCAmelCase			     =	'''segformer'''
					def __init__(     self,    A=3,    A=4,    A=[2, 2, 2, 2],    A=[8, 4, 2, 1],    A=[32, 64, 160, 256],    A=[7, 3, 3, 3],    A=[4, 2, 2, 2],    A=[1, 2, 5, 8],    A=[4, 4, 4, 4],    A="gelu",    A=0.0,    A=0.0,    A=0.1,    A=0.02,    A=0.1,    A=1e-6,    A=256,    A=255,    **A,    ):

									"""simple docstring"""


									super().__init__(**A      )

									if "reshape_last_stage" in kwargs and kwargs["reshape_last_stage"] is False:
													warnings.warn(
													    'Reshape_last_stage is set to False in this config. This argument is deprecated and will soon be'
													    ' removed, as the behaviour will default to that of reshape_last_stage = True.',    A,    )

									lowerCamelCase					:			Tuple									= num_channels
									lowerCamelCase					:			Dict									= num_encoder_blocks
									lowerCamelCase					:			Dict									= depths
									lowerCamelCase					:			Any									= sr_ratios
									lowerCamelCase					:			List[Any]									= hidden_sizes
									lowerCamelCase					:			List[Any]									= patch_sizes
									lowerCamelCase					:			Tuple									= strides
									lowerCamelCase					:			int									= mlp_ratios
									lowerCamelCase					:			Dict									= num_attention_heads
									lowerCamelCase					:			Union[str, Any]									= hidden_act
									lowerCamelCase					:			Tuple									= hidden_dropout_prob
									lowerCamelCase					:			Optional[int]									= attention_probs_dropout_prob
									lowerCamelCase					:			List[str]									= classifier_dropout_prob
									lowerCamelCase					:			Union[str, Any]									= initializer_range
									lowerCamelCase					:			Union[str, Any]									= drop_path_rate
									lowerCamelCase					:			int									= layer_norm_eps
									lowerCamelCase					:			Any									= decoder_hidden_size
									lowerCamelCase					:			Optional[int]									= kwargs.get('reshape_last_stage',    A      )
									lowerCamelCase					:			Any									= semantic_loss_ignore_index





class     __snake_case		(   a__):
					_lowerCAmelCase			     =	version.parse('''1.11''')
					@property
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									return OrderedDict(
									    [
									        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
									    ]      )
					@property
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									return 1e-4




					@property
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									return 12
