






'''simple docstring'''







import ast
import os
import re
import shutil
import tempfile
import unittest
from unittest import mock

import torch

from accelerate.test_utils.examples import compare_against_test
from accelerate.test_utils.testing import TempDirTestCase, require_trackers, run_command, slow
from accelerate.utils import write_basic_config


# DataLoaders built from `test_samples/MRPC` for quick testing
# Should mock `{script_name}.get_dataloaders` via:
# @mock.patch("{script_name}.get_dataloaders", mocked_dataloaders)

UpperCamelCase     :   Optional[int]	      =		[
    'cross_validation.py',
    'gradient_accumulation.py',
    'local_sgd.py',
    'multi_process_metrics.py',
    'memory.py',
    'automatic_gradient_accumulation.py',
    'fsdp_with_peak_mem_tracking.py',
    'deepspeed_with_config_support.py',
    'megatron_lm_gpt_pretraining.py',
]




class 		UpperCamelCase__     (unittest.TestCase      ):




		'''simple docstring'''





		def       UpperCamelCase_       (   self ,_lowerCAmelCase ,_lowerCAmelCase ,_lowerCAmelCase = None ,_lowerCAmelCase = None							):
								lowerCamelCase__								=	None
								lowerCamelCase__								=	os.path.abspath(os.path.join("""examples""" ,"""by_feature"""							)							)
								lowerCamelCase__								=	os.path.abspath("""examples"""							)
								for item in os.listdir(_lowerCAmelCase							):
														if item not in EXCLUDE_EXAMPLES:
																				lowerCamelCase__								=	os.path.join(_lowerCAmelCase ,_lowerCAmelCase							)
																				if os.path.isfile(_lowerCAmelCase							) and ".py" in item_path:
																										with self.subTest(
																										    tested_script=_lowerCAmelCase ,feature_script=_lowerCAmelCase ,tested_section="""main()""" if parser_only else """training_function()""" ,):
																																lowerCamelCase__								=	compare_against_test(
																																    os.path.join(_lowerCAmelCase ,_lowerCAmelCase							) ,_lowerCAmelCase ,_lowerCAmelCase ,_lowerCAmelCase							)
																																lowerCamelCase__								=	"""\n""".join(_lowerCAmelCase							)
																																if special_strings is not None:
																																						for string in special_strings:
																																												lowerCamelCase__								=	diff.replace(_lowerCAmelCase ,""""""							)
																																self.assertEqual(_lowerCAmelCase ,""""""							)






		def       UpperCamelCase_       (   self							):
								self.one_complete_example("""complete_nlp_example.py""" ,_lowerCAmelCase							)
								self.one_complete_example("""complete_nlp_example.py""" ,_lowerCAmelCase							)






		def       UpperCamelCase_       (   self							):
								lowerCamelCase__								=	os.path.abspath(os.path.join("""examples""" ,"""cv_example.py"""							)							)
								lowerCamelCase__								=	[
								    """ """ * 16 + """{\n\n""",
								    """ """ * 20 + """\"accuracy\": eval_metric[\"accuracy\"],\n\n""",
								    """ """ * 20 + """\"f1\": eval_metric[\"f1\"],\n\n""",
								    """ """ * 20 + """\"train_loss\": total_loss.item() / len(train_dataloader),\n\n""",
								    """ """ * 20 + """\"epoch\": epoch,\n\n""",
								    """ """ * 16 + """},\n\n""",
								    """ """ * 16 + """step=epoch,\n""",
								    """ """ * 12,
								    """ """ * 8 + """for step, batch in enumerate(active_dataloader):\n""",
								]
								self.one_complete_example("""complete_cv_example.py""" ,_lowerCAmelCase ,_lowerCAmelCase ,_lowerCAmelCase							)
								self.one_complete_example("""complete_cv_example.py""" ,_lowerCAmelCase ,_lowerCAmelCase ,_lowerCAmelCase							)




@mock.patch.dict(os.environ ,{'TESTING_MOCKED_DATALOADERS': '1'}      )
class 		UpperCamelCase__     (a      ):




		'''simple docstring'''





		_UpperCamelCase						=       False






		@classmethod
		def       UpperCamelCase_       (   cls							):
								super().setUpClass()
								lowerCamelCase__								=	tempfile.mkdtemp()
								lowerCamelCase__								=	os.path.join(cls._tmpdir ,"""default_config.yml"""							)

								write_basic_config(save_location=cls.configPath							)
								lowerCamelCase__								=	["""accelerate""", """launch""", """--config_file""", cls.configPath]






		@classmethod
		def       UpperCamelCase_       (   cls							):
								super().tearDownClass()
								shutil.rmtree(cls._tmpdir							)






		def       UpperCamelCase_       (   self							):
								lowerCamelCase__								=	F'''
        examples/by_feature/checkpointing.py
        --checkpointing_steps epoch
        --output_dir {self.tmpdir}
        '''.split()
								run_command(self._launch_args + testargs							)
								self.assertTrue(os.path.exists(os.path.join(self.tmpdir ,"""epoch_0"""							)							)							)






		def       UpperCamelCase_       (   self							):
								lowerCamelCase__								=	F'''
        examples/by_feature/checkpointing.py
        --checkpointing_steps 1
        --output_dir {self.tmpdir}
        '''.split()
								lowerCamelCase__								=	run_command(self._launch_args + testargs							)
								self.assertTrue(os.path.exists(os.path.join(self.tmpdir ,"""step_2"""							)							)							)






		def       UpperCamelCase_       (   self							):
								lowerCamelCase__								=	F'''
        examples/by_feature/checkpointing.py
        --resume_from_checkpoint {os.path.join(self.tmpdir ,"epoch_0"							)}
        '''.split()
								lowerCamelCase__								=	run_command(self._launch_args + testargs ,return_stdout=_lowerCAmelCase							)
								self.assertNotIn("""epoch 0:""" ,_lowerCAmelCase							)
								self.assertIn("""epoch 1:""" ,_lowerCAmelCase							)






		def       UpperCamelCase_       (   self							):
								lowerCamelCase__								=	F'''
        examples/by_feature/checkpointing.py
        --resume_from_checkpoint {os.path.join(self.tmpdir ,"step_2"							)}
        '''.split()
								lowerCamelCase__								=	run_command(self._launch_args + testargs ,return_stdout=_lowerCAmelCase							)
								if torch.cuda.is_available():
														lowerCamelCase__								=	torch.cuda.device_count()
								else:
														lowerCamelCase__								=	1
								if num_processes > 1:
														self.assertNotIn("""epoch 0:""" ,_lowerCAmelCase							)
														self.assertIn("""epoch 1:""" ,_lowerCAmelCase							)
								else:
														self.assertIn("""epoch 0:""" ,_lowerCAmelCase							)
														self.assertIn("""epoch 1:""" ,_lowerCAmelCase							)






		@slow
		def       UpperCamelCase_       (   self							):
								lowerCamelCase__								=	"""
        examples/by_feature/cross_validation.py
        --num_folds 2
        """.split()
								with mock.patch.dict(os.environ ,{"""TESTING_MOCKED_DATALOADERS""": """0"""}							):
														lowerCamelCase__								=	run_command(self._launch_args + testargs ,return_stdout=_lowerCAmelCase							)
														lowerCamelCase__								=	re.findall("""({.+})""" ,_lowerCAmelCase							)
														lowerCamelCase__								=	[r for r in results if """accuracy""" in r][-1]
														lowerCamelCase__								=	ast.literal_eval(_lowerCAmelCase							)
														self.assertGreaterEqual(results["""accuracy"""] ,0.75							)






		def       UpperCamelCase_       (   self							):
								lowerCamelCase__								=	["""examples/by_feature/multi_process_metrics.py"""]
								run_command(self._launch_args + testargs							)






		@require_trackers
		@mock.patch.dict(os.environ ,{"""WANDB_MODE""": """offline"""}							)
		def       UpperCamelCase_       (   self							):
								with tempfile.TemporaryDirectory() as tmpdir:
														lowerCamelCase__								=	F'''
            examples/by_feature/tracking.py
            --with_tracking
            --project_dir {tmpdir}
            '''.split()
														run_command(self._launch_args + testargs							)
														self.assertTrue(os.path.exists(os.path.join(_lowerCAmelCase ,"""tracking"""							)							)							)






		def       UpperCamelCase_       (   self							):
								lowerCamelCase__								=	["""examples/by_feature/gradient_accumulation.py"""]
								run_command(self._launch_args + testargs							)






		def       UpperCamelCase_       (   self							):
								lowerCamelCase__								=	["""examples/by_feature/local_sgd.py"""]
								run_command(self._launch_args + testargs							)





'''simple docstring'''





def        a__     (					UpperCamelCase_						:      int | float | str						):
   try:
      UpperCAmelCase__	:Union[str, Any]      =      float(UpperCamelCase_						)
   except ValueError:
      raise ValueError('''Please enter a valid number'''						)
   UpperCAmelCase__	:List[str]      =      decimal - int(UpperCamelCase_						)
   if fractional_part == 0:
      return int(UpperCamelCase_						), 1
   else:
      UpperCAmelCase__	:List[Any]      =      len(str(UpperCamelCase_						).split('''.'''						)[1]						)
      UpperCAmelCase__	:Tuple      =      int(decimal * (10**number_of_frac_digits)						)
      UpperCAmelCase__	:int      =      10**number_of_frac_digits
      UpperCAmelCase__   ,						UpperCAmelCase__	:List[str]      =      denominator, numerator
      while True:
         UpperCAmelCase__	:Optional[Any]      =      dividend % divisor
         if remainder == 0:
            break
         UpperCAmelCase__   ,						UpperCAmelCase__	:List[str]      =      divisor, remainder
      UpperCAmelCase__   ,						UpperCAmelCase__	:Tuple      =      numerator / divisor, denominator / divisor
      return int(UpperCamelCase_						), int(UpperCamelCase_						)


if __name__ == "__main__":
    print(F'''{decimal_to_fraction(2) = }''')
    print(F'''{decimal_to_fraction(89.0) = }''')
    print(F'''{decimal_to_fraction("67") = }''')
    print(F'''{decimal_to_fraction("45.0") = }''')
    print(F'''{decimal_to_fraction(1.5) = }''')
    print(F'''{decimal_to_fraction("6.25") = }''')
    print(F'''{decimal_to_fraction("78td") = }''')



