



"""simple docstring"""







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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


__snake_case	:				int  					=			logging.get_logger(__name__)

__snake_case	:				Optional[Any]  					=			{
    'facebook/convnext-tiny-224': 'https://huggingface.co/facebook/convnext-tiny-224/resolve/main/config.json',
    # See all ConvNeXT models at https://huggingface.co/models?filter=convnext
}

class       UpperCamelCase  (					a      , a				):





     """simple docstring"""






     _lowerCamelCase					: List[str]				   ="convnext"





     def __init__(					self :							List[Any]	,      _lowerCamelCase :							Optional[int]=3	,      _lowerCamelCase :							List[str]=4	,      _lowerCamelCase :							List[Any]=4	,      _lowerCamelCase :							List[Any]=None	,      _lowerCamelCase :							Any=None	,      _lowerCamelCase :							Any="gelu"	,      _lowerCamelCase :							List[Any]=0.02	,      _lowerCamelCase :							str=1E-12	,      _lowerCamelCase :							int=1E-6	,      _lowerCamelCase :							int=0.0	,      _lowerCamelCase :							List[str]=2_2_4	,      _lowerCamelCase :							List[str]=None	,      _lowerCamelCase :							Optional[int]=None	,      **_lowerCamelCase :							List[Any]	,      ):
          super().__init__(**_lowerCamelCase )

          A__				=   num_channels
          A__				=   patch_size
          A__				=   num_stages
          A__				=   [9_6, 1_9_2, 3_8_4, 7_6_8] if hidden_sizes is None else hidden_sizes
          A__				=   [3, 3, 9, 3] if depths is None else depths
          A__				=   hidden_act
          A__				=   initializer_range
          A__				=   layer_norm_eps
          A__				=   layer_scale_init_value
          A__				=   drop_path_rate
          A__				=   image_size
          A__				=   ['''stem'''] + [F'''stage{idx}''' for idx in range(1	,      len(self.depths ) + 1 )]
          A__	,     A__				=   get_aligned_output_features_output_indices(
              out_features=_lowerCamelCase	,      out_indices=_lowerCamelCase	,      stage_names=self.stage_names )


class       UpperCamelCase  (					a				):





     """simple docstring"""






     _lowerCamelCase					: List[Any]				   =version.parse("1.11"				)





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





     @property
     def 						A__  (					self :							Union[str, Any] ):
          return 1E-5








"""simple docstring"""







import argparse
import logging
import sys
from unittest.mock import patch

import run_glue_with_pabee

from transformers.testing_utils import TestCasePlus


logging.basicConfig(level=logging.DEBUG)

__snake_case	:				List[str]  					=			logging.getLogger()



def   a_	(			):
     A__				=   argparse.ArgumentParser()
     parser.add_argument('''-f'''      )
     A__				=   parser.parse_args()
     return args.f

class       UpperCamelCase  (					a				):





     """simple docstring"""






     def 						A__  (					self :							Optional[int] ):
          A__				=   logging.StreamHandler(sys.stdout )
          logger.addHandler(_lowerCamelCase )

          A__				=   self.get_auto_remove_tmp_dir()
          A__				=   F'''
            run_glue_with_pabee.py
            --model_type albert
            --model_name_or_path albert-base-v2
            --data_dir ./tests/fixtures/tests_samples/MRPC/
            --output_dir {tmp_dir}
            --overwrite_output_dir
            --task_name mrpc
            --do_train
            --do_eval
            --per_gpu_train_batch_size=2
            --per_gpu_eval_batch_size=1
            --learning_rate=2e-5
            --max_steps=50
            --warmup_steps=2
            --seed=42
            --max_seq_length=128
            '''.split()

          with patch.object(_lowerCamelCase	,      '''argv'''	,      _lowerCamelCase ):
               A__				=   run_glue_with_pabee.main()
               for value in result.values():
                    self.assertGreaterEqual(_lowerCamelCase	,      0.75 )



