
'''simple docstring'''




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

import run_glue_deebert

from transformers.testing_utils import TestCasePlus, get_gpu_count, require_torch_non_multi_gpu, slow


logging.basicConfig(level=logging.DEBUG)

lowercase     :							Dict       						=     logging.getLogger()







def 						lowerCAmelCase_							(  ):




    '''simple docstring'''



    A			:  Optional[Any]   =		argparse.ArgumentParser()
    parser.add_argument('''-f'''		)
    A			:  int   =		parser.parse_args()
    return args.f







class 					A							(				__snake_case		):





     def 							__lowerCAmelCase				(				self      )					->							None:






         """simple docstring"""






         A			:  List[str]   =		logging.StreamHandler(sys.stdout      )
         logger.addHandler(SCREAMING_SNAKE_CASE      )





     def 							__lowerCAmelCase				(				self		,     SCREAMING_SNAKE_CASE      )					->							Tuple:






         """simple docstring"""






         A			:  List[str]   =		get_gpu_count()

         if n_gpu > 1:
             pass
             # XXX: doesn't quite work with n_gpu > 1 https://github.com/huggingface/transformers/issues/10560
             # script = f"{self.examples_dir_str}/research_projects/deebert/run_glue_deebert.py"
             # distributed_args = f"-m torch.distributed.launch --nproc_per_node={n_gpu} {script}".split()
             # cmd = [sys.executable] + distributed_args + args
             # execute_subprocess_async(cmd, env=self.get_env())
             # XXX: test the results - need to save them first into .json file
         else:
             args.insert(0		,     '''run_glue_deebert.py'''      )
             with patch.object(SCREAMING_SNAKE_CASE		,     '''argv'''		,     SCREAMING_SNAKE_CASE      ):
                 A			:  Union[str, Any]   =		run_glue_deebert.main()
                 for value in result.values():
                     self.assertGreaterEqual(SCREAMING_SNAKE_CASE		,     0.666      )





     @slow
     @require_torch_non_multi_gpu
     def 							__lowerCAmelCase				(				self      )					->							str:






         """simple docstring"""






         A			:  str   =		'''
            --model_type roberta
            --model_name_or_path roberta-base
            --task_name MRPC
            --do_train
            --do_eval
            --do_lower_case
            --data_dir ./tests/fixtures/tests_samples/MRPC/
            --max_seq_length 128
            --per_gpu_eval_batch_size=1
            --per_gpu_train_batch_size=8
            --learning_rate 2e-4
            --num_train_epochs 3
            --overwrite_output_dir
            --seed 42
            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage
            --plot_data_dir ./examples/deebert/results/
            --save_steps 0
            --overwrite_cache
            --eval_after_first_stage
            '''.split()
         self.run_and_check(SCREAMING_SNAKE_CASE      )

         A			:  Tuple   =		'''
            --model_type roberta
            --model_name_or_path ./examples/deebert/saved_models/roberta-base/MRPC/two_stage
            --task_name MRPC
            --do_eval
            --do_lower_case
            --data_dir ./tests/fixtures/tests_samples/MRPC/
            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage
            --plot_data_dir ./examples/deebert/results/
            --max_seq_length 128
            --eval_each_highway
            --eval_highway
            --overwrite_cache
            --per_gpu_eval_batch_size=1
            '''.split()
         self.run_and_check(SCREAMING_SNAKE_CASE      )

         A			:  Optional[Any]   =		'''
            --model_type roberta
            --model_name_or_path ./examples/deebert/saved_models/roberta-base/MRPC/two_stage
            --task_name MRPC
            --do_eval
            --do_lower_case
            --data_dir ./tests/fixtures/tests_samples/MRPC/
            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage
            --plot_data_dir ./examples/deebert/results/
            --max_seq_length 128
            --early_exit_entropy 0.1
            --eval_highway
            --overwrite_cache
            --per_gpu_eval_batch_size=1
            '''.split()
         self.run_and_check(SCREAMING_SNAKE_CASE      )






'''simple docstring'''




lowercase     :							dict[str, float]       						=     {
    "joule": 1.0,
    "kilojoule": 10_00,
    "megajoule": 1_00_00_00,
    "gigajoule": 10_00_00_00_00,
    "wattsecond": 1.0,
    "watthour": 36_00,
    "kilowatthour": 3_60_00_00,
    "newtonmeter": 1.0,
    "calorie_nutr": 41_86.8,
    "kilocalorie_nutr": 4_18_68_00.00,
    "electronvolt": 1.6_02_17_66_34e-19,
    "britishthermalunit_it": 10_55.0_55_85,
    "footpound": 1.35_58_18,
}







def 						lowerCAmelCase_							(  snake_case__						,							snake_case__						,							snake_case__		):




    '''simple docstring'''



    if to_type not in ENERGY_CONVERSION or from_type not in ENERGY_CONVERSION:
        A			:  int   =		(
            F'Incorrect \'from_type\' or \'to_type\' value: {from_type!r}, {to_type!r}\n'
            F'Valid values are: {", ".join(snake_case__		)}'
        )
        raise ValueError(snake_case__		)
    return value * ENERGY_CONVERSION[from_type] / ENERGY_CONVERSION[to_type]


if __name__ == "__main__":
      import doctest

      doctest.testmod()




