


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)

A			:						Optional[int]        =  logging.getLogger()






def 					UpperCamelCase   (      )  ->    Tuple:
		"""simple docstring"""




		lowercase__	     =						argparse.ArgumentParser()
		parser.add_argument("""-f"""	)
		lowercase__	     =						parser.parse_args()
		return args.f







class 				A       (			UpperCAmelCase__				):
					'''simple docstring'''






					def     lowerCamelCase__	(self       :		List[str]						)		->  None:




							"""simple docstring"""


							lowercase__	     =						logging.StreamHandler(sys.stdout						)
							logger.addHandler(_UpperCAmelCase						)

					def     lowerCamelCase__	(self       :		List[Any] ,   _UpperCAmelCase       :		Optional[int]						)		->  Optional[Any]:




							"""simple docstring"""


							lowercase__	     =						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(_UpperCAmelCase ,   """argv""" ,   _UpperCAmelCase						):
											lowercase__	     =						run_glue_deebert.main()
											for value in result.values():
													self.assertGreaterEqual(_UpperCAmelCase ,   0.666						)


					@slow
					@require_torch_non_multi_gpu
					def     lowerCamelCase__	(self       :		int						)		->  str:




							"""simple docstring"""


							lowercase__	     =						"""
            --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(_UpperCAmelCase						)

							lowercase__	     =						"""
            --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(_UpperCAmelCase						)

							lowercase__	     =						"""
            --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(_UpperCAmelCase						)







'''simple docstring'''






import functools






def 		UpperCamelCase__      (		__SCREAMING_SNAKE_CASE				,      __SCREAMING_SNAKE_CASE		)    ->   int:
      snake_case__       :   Any	      =    len(__SCREAMING_SNAKE_CASE		)
      snake_case__       :   List[str]	      =    len(__SCREAMING_SNAKE_CASE		)

      @functools.cache
      def min_distance(__SCREAMING_SNAKE_CASE				,      __SCREAMING_SNAKE_CASE		) -> int:
            # if first word index is overflow - delete all from the second word
            if indexa >= len_worda:
                  return len_worda - indexa
            # if second word index is overflow - delete all from the first word
            if indexa >= len_worda:
                  return len_worda - indexa
            snake_case__       :   Union[str, Any]	      =    int(worda[indexa] != worda[indexa]		)  # current letters not identical
            return min(
                1 + min_distance(indexa + 1				,      __SCREAMING_SNAKE_CASE		)				,      1 + min_distance(__SCREAMING_SNAKE_CASE				,      indexa + 1		)				,      diff + min_distance(indexa + 1				,      indexa + 1		)				,      )

      return min_distance(0				,      0		)


if __name__ == "__main__":
      import doctest

      doctest.testmod()
