



"""simple docstring"""

from dataclasses import dataclass, field
from typing import Tuple

from ..utils import cached_property, is_torch_available, is_torch_tpu_available, logging, requires_backends
from .benchmark_args_utils import BenchmarkArguments


if is_torch_available():
	import torch

if is_torch_tpu_available(check_device=False):
	import torch_xla.core.xla_model as xm


lowercase__			   =  logging.get_logger(__name__)




@dataclass
class SCREAMING_SNAKE_CASE__					(		__snake_case      ):
						_lowerCAmelCase							=					[
						    "no_inference",
						    "no_cuda",
						    "no_tpu",
						    "no_speed",
						    "no_memory",
						    "no_env_print",
						    "no_multi_process",
						]



						def __init__(self						,     **_lowercase							):





													'''simple docstring'''

													for deprecated_arg in self.deprecated_args:
																				if deprecated_arg in kwargs:
																											__a		:		Optional[Any]									=       deprecated_arg[3:]
																											setattr(self						,     _lowercase						,     not kwargs.pop(_lowercase							)							)
																											logger.warning(
																											    F'''{deprecated_arg} is depreciated. Please use --no_{positive_arg} or'''
																											    F''' {positive_arg}={kwargs[positive_arg]}'''							)

													__a		:		Any									=       kwargs.pop("""torchscript"""						,     self.torchscript							)
													__a		:		Dict									=       kwargs.pop("""torch_xla_tpu_print_metrics"""						,     self.torch_xla_tpu_print_metrics							)
													__a		:		Any									=       kwargs.pop("""fp16_opt_level"""						,     self.fpaa_opt_level							)
													super().__init__(**_lowercase							)

						_lowerCAmelCase							=					field(default=__snake_case     ,					metadata={"help": "Trace the models using torchscript"}      )
						_lowerCAmelCase							=					field(default=__snake_case     ,					metadata={"help": "Print Xla/PyTorch tpu metrics"}      )
						_lowerCAmelCase							=					field(
						    default="O1"     ,					metadata={
						        "help": (
						            "For fp16: Apex AMP optimization level selected in ['O0', 'O1', 'O2', and 'O3']. "
						            "See details at https://nvidia.github.io/apex/amp.html"
						        )
						    }     ,					)



						@cached_property
						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													requires_backends(self						,     ["""torch"""]							)
													logger.info("""PyTorch: setting up devices"""							)
													if not self.cuda:
																				__a		:		str									=       torch.device("""cpu"""							)
																				__a		:		Optional[Any]									=       0
													elif is_torch_tpu_available():
																				__a		:		Optional[int]									=       xm.xla_device()
																				__a		:		Any									=       0
													else:
																				__a		:		List[Any]									=       torch.device("""cuda""" if torch.cuda.is_available() else """cpu"""							)
																				__a		:		Dict									=       torch.cuda.device_count()
													return device, n_gpu



						@property
						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													return is_torch_tpu_available() and self.tpu



						@property
						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													requires_backends(self						,     ["""torch"""]							)
													# TODO(PVP): currently only single GPU is supported
													return torch.cuda.current_device()



						@property
						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													requires_backends(self						,     ["""torch"""]							)
													return self._setup_devices[0]



						@property
						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													requires_backends(self						,     ["""torch"""]							)
													return self._setup_devices[1]





						@property
						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													return self.n_gpu > 0






"""simple docstring"""

from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters





def       __magic_name__    (   ):
							__a		:		Dict									=       {
							    """repo_name""": ["""test_repo1""", """test_repo2""", """test_repo3"""],
							    """path""": ["""test_1.py""", """test_2.py""", """unit_test.py"""],
							    """content""": ["""a """ * 2_0, """a """ * 3_0, """b """ * 7],
							}
							__a		:		Optional[Any]									=       Dataset.from_dict(_lowerCamelCase					)
							return dataset







class SCREAMING_SNAKE_CASE__					(		__snake_case      ):



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													__a		:		Optional[int]									=       get_dataset()
													__a		:		List[Any]									=       make_duplicate_clusters(_lowercase						,     0.85							)
													self.assertEqual(len(duplicate_clusters[0]							)						,     2							)





						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													__a		:		Tuple									=       get_dataset()
													__a							,     __a		:		Optional[Any]									=       deduplicate_dataset(_lowercase							)
													self.assertEqual(len(_lowercase							)						,     2							)
													print(_lowercase							)
													self.assertEqual(duplicate_clusters[0][0]["""copies"""]						,     2							)
													self.assertEqual(duplicate_clusters[0][0]["""is_extreme"""]						,     _lowercase							)

