






"""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)

_UpperCamelCase						:    int		=						logging.getLogger()
def 		_SCREAMING_SNAKE_CASE					(       ):





  '''simple docstring'''





  lowercase				       =			argparse.ArgumentParser()
  parser.add_argument('-f'       )
  lowercase				       =			parser.parse_args()
  return args.f



class 			a	(  a_      ):







    def      UpperCamelCase_ (     self			):
      lowercase				       =			logging.StreamHandler(sys.stdout			)
      logger.addHandler(_lowerCamelCase			)

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

      with patch.object(_lowerCamelCase				,						'argv'				,						_lowerCamelCase			):
        lowercase				       =			run_glue_with_pabee.main()
        for value in result.values():
          self.assertGreaterEqual(_lowerCamelCase				,						0.7_5			)










"""simple docstring"""

import warnings

from ...utils import logging
from .image_processing_conditional_detr import ConditionalDetrImageProcessor


lowercase           =							logging.get_logger(__name__)

class     A_				(   snake_case_	):







				def __init__(				self				:    str    ,     *__lowerCamelCase				:    List[Any]    ,     **__lowerCamelCase				:    List[str]						)					->       None:
										warnings.warn(
										    "The class ConditionalDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
										    " Please use ConditionalDetrImageProcessor instead."    ,     __lowerCamelCase    ,     )
										super().__init__(*__lowerCamelCase    ,     **__lowerCamelCase						)



