




import os

from apache_beam.io.filesystems import FileSystems
from apache_beam.pipeline import Pipeline

from .logging import get_logger


__SCREAMING_SNAKE_CASE    :   Tuple       =2 << 20  # 2mb
__SCREAMING_SNAKE_CASE    :   Dict       =get_logger(__name__)






class 			A			(		_lowerCAmelCase		):
     """simple docstring"""

     def  __snake_case   (    self  :   Tuple			)				->       List[str]:
           lowerCamelCase__        =				self._options.get_all_options().get('runner'			)
           return runner in [None, "DirectRunner", "PortableRunner"]

def 			lowerCAmelCase_			(  lowerCamelCase:       Dict     ,				lowerCamelCase:       Tuple     ,				lowerCamelCase:       List[Any]=False						)					->			Dict:


      '''simple docstring'''




      lowerCamelCase__        =				FileSystems
      if fs.exists(lowerCamelCase						):
            if force_upload:
                  logger.info(f"""Remote path already exist: {remote_file_path}. Overwriting it as force_upload=True."""						)
            else:
                  logger.info(f"""Remote path already exist: {remote_file_path}. Skipping it as force_upload=False."""						)
                  return
      with fs.create(lowerCamelCase						) as remote_file:
            with open(lowerCamelCase     ,				'rb'						) as local_file:
                  lowerCamelCase__        =				local_file.read(lowerCamelCase						)
                  while chunk:
                        remote_file.write(lowerCamelCase						)
                        lowerCamelCase__        =				local_file.read(lowerCamelCase						)


def 			lowerCAmelCase_			(  lowerCamelCase:       Tuple     ,				lowerCamelCase:       Union[str, Any]     ,				lowerCamelCase:       Union[str, Any]=False						)					->			Optional[Any]:


      '''simple docstring'''




      lowerCamelCase__        =				FileSystems
      if os.path.exists(lowerCamelCase						):
            if force_download:
                  logger.info(f"""Local path already exist: {remote_file_path}. Overwriting it as force_upload=True."""						)
            else:
                  logger.info(f"""Local path already exist: {remote_file_path}. Skipping it as force_upload=False."""						)
                  return
      with fs.open(lowerCamelCase						) as remote_file:
            with open(lowerCamelCase     ,				'wb'						) as local_file:
                  lowerCamelCase__        =				remote_file.read(lowerCamelCase						)
                  while chunk:
                        local_file.write(lowerCamelCase						)
                        lowerCamelCase__        =				remote_file.read(lowerCamelCase						)





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)

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

def 			lowerCAmelCase_			(  )					->			Any:


      '''simple docstring'''




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






class 			A			(		_lowerCAmelCase		):
     """simple docstring"""

     def  __snake_case   (    self  :   Optional[Any]			)				->       Optional[Any]:
           lowerCamelCase__        =				logging.StreamHandler(sys.stdout			)
           logger.addHandler(A__			)

           lowerCamelCase__        =				self.get_auto_remove_tmp_dir()
           lowerCamelCase__        =				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(A__	,  'argv'	,  A__			):
                 lowerCamelCase__        =				run_glue_with_pabee.main()
                 for value in result.values():
                       self.assertGreaterEqual(A__	,  0.75			)