
'''simple docstring'''

import dataclasses
import json
import warnings
from dataclasses import dataclass, field
from time import time
from typing import List

from ..utils import logging


__snake_case:  List[Any]								=			logging.get_logger(__name__)






def 	_snake_case						(      A_       :    List[str]=None     ,		A_       :    Optional[Any]=None   ):
  """simple docstring"""







  return field(default_factory=lambda: default     ,		metadata=lowerCAmelCase__   )




@dataclass
class  _UpperCAmelCase :

     """simple docstring"""

     a_    	=					list_field(
         default=[]	,metadata={
             "help": (
                 "Model checkpoints to be provided to the AutoModel classes. Leave blank to benchmark the base version"
                 " of all available models"
             )
         }	,)

     a_    	=					list_field(
         default=[8]	,metadata={"help": "List of batch sizes for which memory and time performance will be evaluated"}    )

     a_    	=					list_field(
         default=[8, 32, 128, 512]	,metadata={"help": "List of sequence lengths for which memory and time performance will be evaluated"}	,)

     a_    	=					field(
         default=__a	,metadata={"help": "Whether to benchmark inference of model. Inference can be disabled via --no-inference."}	,)
     a_    	=					field(
         default=__a	,metadata={"help": "Whether to run on available cuda devices. Cuda can be disabled via --no-cuda."}	,)
     a_    	=					field(
         default=__a	,metadata={"help": "Whether to run on available tpu devices. TPU can be disabled via --no-tpu."}    )
     a_    	=					field(default=__a	,metadata={"help": "Use FP16 to accelerate inference."}    )
     a_    	=					field(default=__a	,metadata={"help": "Benchmark training of model"}    )
     a_    	=					field(default=__a	,metadata={"help": "Verbose memory tracing"}    )
     a_    	=					field(
         default=__a	,metadata={"help": "Whether to perform speed measurements. Speed measurements can be disabled via --no-speed."}	,)
     a_    	=					field(
         default=__a	,metadata={
             "help": "Whether to perform memory measurements. Memory measurements can be disabled via --no-memory"
         }	,)
     a_    	=					field(default=__a	,metadata={"help": "Trace memory line by line"}    )
     a_    	=					field(default=__a	,metadata={"help": "Save result to a CSV file"}    )
     a_    	=					field(default=__a	,metadata={"help": "Save all print statements in a log file"}    )
     a_    	=					field(default=__a	,metadata={"help": "Whether to print environment information"}    )
     a_    	=					field(
         default=__a	,metadata={
             "help": (
                 "Whether to use multiprocessing for memory and speed measurement. It is highly recommended to use"
                 " multiprocessing for accurate CPU and GPU memory measurements. This option should only be disabled"
                 " for debugging / testing and on TPU."
             )
         }	,)
     a_    	=					field(
         default=F'''inference_time_{round(time()    )}.csv'''	,metadata={"help": "CSV filename used if saving time results to csv."}	,)
     a_    	=					field(
         default=F'''inference_memory_{round(time()    )}.csv'''	,metadata={"help": "CSV filename used if saving memory results to csv."}	,)
     a_    	=					field(
         default=F'''train_time_{round(time()    )}.csv'''	,metadata={"help": "CSV filename used if saving time results to csv for training."}	,)
     a_    	=					field(
         default=F'''train_memory_{round(time()    )}.csv'''	,metadata={"help": "CSV filename used if saving memory results to csv for training."}	,)
     a_    	=					field(
         default=F'''env_info_{round(time()    )}.csv'''	,metadata={"help": "CSV filename used if saving environment information."}	,)
     a_    	=					field(
         default=F'''log_{round(time()    )}.csv'''	,metadata={"help": "Log filename used if print statements are saved in log."}	,)
     a_    	=					field(default=3	,metadata={"help": "Times an experiment will be run."}    )
     a_    	=					field(
         default=__a	,metadata={
             "help": (
                 "Instead of loading the model as defined in `config.architectures` if exists, just load the pretrain"
                 " model weights."
             )
         }	,)


     def 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

       warnings.warn(
           f'''The class {self.__class__} is deprecated. Hugging Face Benchmarking utils'''
           """ are deprecated in general and it is advised to use external Benchmarking libraries """
           """ to benchmark Transformer models."""							,		snake_case__							,		)


     def 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

       return json.dumps(dataclasses.asdict(self )							,		indent=2 )


     @property
     def 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

       if len(self.models ) <= 0:
         raise ValueError(
             """Please make sure you provide at least one model name / model identifier, *e.g.* `--models"""
             """ bert-base-cased` or `args.models = ['bert-base-cased'].""" )
       return self.models






     @property
     def 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

       if not self.multi_process:
         return False
       elif self.is_tpu:
         logger.info("""Multiprocessing is currently not possible on TPU.""" )
         return False
       else:
         return True




'''simple docstring'''

from datasets.utils.patching import _PatchedModuleObj, patch_submodule

from . import _test_patching






def 	_snake_case						(      ):
  """simple docstring"""







  import os as original_os
  from os import path as original_path
  from os import rename as original_rename
  from os.path import dirname as original_dirname
  from os.path import join as original_join

  assert _test_patching.os is original_os
  assert _test_patching.path is original_path
  assert _test_patching.join is original_join

  assert _test_patching.renamed_os is original_os
  assert _test_patching.renamed_path is original_path
  assert _test_patching.renamed_join is original_join

  a_      :	List[str]      =							"""__test_patch_submodule_mock__"""
  with patch_submodule(_test_patching     ,		"""os.path.join"""     ,		A_   ):
    # Every way to access os.path.join must be patched, and the rest must stay untouched

    # check os.path.join
    assert isinstance(_test_patching.os     ,		_PatchedModuleObj   )
    assert isinstance(_test_patching.os.path     ,		_PatchedModuleObj   )
    assert _test_patching.os.path.join is mock

    # check path.join
    assert isinstance(_test_patching.path     ,		_PatchedModuleObj   )
    assert _test_patching.path.join is mock

    # check join
    assert _test_patching.join is mock

    # check that the other attributes are untouched
    assert _test_patching.os.rename is original_rename
    assert _test_patching.path.dirname is original_dirname
    assert _test_patching.os.path.dirname is original_dirname

    # Even renamed modules or objects must be patched

    # check renamed_os.path.join
    assert isinstance(_test_patching.renamed_os     ,		_PatchedModuleObj   )
    assert isinstance(_test_patching.renamed_os.path     ,		_PatchedModuleObj   )
    assert _test_patching.renamed_os.path.join is mock

    # check renamed_path.join
    assert isinstance(_test_patching.renamed_path     ,		_PatchedModuleObj   )
    assert _test_patching.renamed_path.join is mock

    # check renamed_join
    assert _test_patching.renamed_join is mock

    # check that the other attributes are untouched
    assert _test_patching.renamed_os.rename is original_rename
    assert _test_patching.renamed_path.dirname is original_dirname
    assert _test_patching.renamed_os.path.dirname is original_dirname

  # check that everthing is back to normal when the patch is over

  assert _test_patching.os is original_os
  assert _test_patching.path is original_path
  assert _test_patching.join is original_join

  assert _test_patching.renamed_os is original_os
  assert _test_patching.renamed_path is original_path
  assert _test_patching.renamed_join is original_join






def 	_snake_case						(      ):
  """simple docstring"""







  assert _test_patching.open is open

  a_      :	Tuple      =							"""__test_patch_submodule_builtin_mock__"""
  # _test_patching has "open" in its globals
  assert _test_patching.open is open
  with patch_submodule(_test_patching     ,		"""open"""     ,		A_   ):
    assert _test_patching.open is mock

  # check that everthing is back to normal when the patch is over

  assert _test_patching.open is open






def 	_snake_case						(      ):
  """simple docstring"""







  a_      :	Any      =							"""__test_patch_submodule_missing_mock__"""
  with patch_submodule(_test_patching     ,		"""pandas.read_csv"""     ,		A_   ):
    pass






def 	_snake_case						(      ):
  """simple docstring"""







  a_      :	int      =							"""__test_patch_submodule_missing_builtin_mock__"""
  # _test_patching doesn't have "len" in its globals
  assert getattr(_test_patching     ,		"""len"""     ,		A_   ) is None
  with patch_submodule(_test_patching     ,		"""len"""     ,		A_   ):
    assert _test_patching.len is mock
  assert _test_patching.len is len






def 	_snake_case						(      ):
  """simple docstring"""







  a_      :	List[str]      =							"""__test_patch_submodule_start_and_stop_mock__"""
  a_      :	int      =							patch_submodule(_test_patching     ,		"""open"""     ,		A_   )
  assert _test_patching.open is open
  patch.start()
  assert _test_patching.open is mock
  patch.stop()
  assert _test_patching.open is open






def 	_snake_case						(      ):
  """simple docstring"""







  from os import rename as original_rename
  from os.path import dirname as original_dirname
  from os.path import join as original_join

  a_      :	Any      =							"""__test_patch_submodule_successive_join__"""
  a_      :	Optional[Any]      =							"""__test_patch_submodule_successive_dirname__"""
  a_      :	Optional[int]      =							"""__test_patch_submodule_successive_rename__"""
  assert _test_patching.os.path.join is original_join
  assert _test_patching.os.path.dirname is original_dirname
  assert _test_patching.os.rename is original_rename

  with patch_submodule(_test_patching     ,		"""os.path.join"""     ,		A_   ):
    with patch_submodule(_test_patching     ,		"""os.rename"""     ,		A_   ):
      with patch_submodule(_test_patching     ,		"""os.path.dirname"""     ,		A_   ):
        assert _test_patching.os.path.join is mock_join
        assert _test_patching.os.path.dirname is mock_dirname
        assert _test_patching.os.rename is mock_rename

    # try another order
  with patch_submodule(_test_patching     ,		"""os.rename"""     ,		A_   ):
    with patch_submodule(_test_patching     ,		"""os.path.join"""     ,		A_   ):
      with patch_submodule(_test_patching     ,		"""os.path.dirname"""     ,		A_   ):
        assert _test_patching.os.path.join is mock_join
        assert _test_patching.os.path.dirname is mock_dirname
        assert _test_patching.os.rename is mock_rename

  assert _test_patching.os.path.join is original_join
  assert _test_patching.os.path.dirname is original_dirname
  assert _test_patching.os.rename is original_rename






def 	_snake_case						(      ):
  """simple docstring"""







  a_      :	Optional[int]      =							"""__test_patch_submodule_doesnt_exist_mock__"""
  with patch_submodule(_test_patching     ,		"""__module_that_doesn_exist__.__attribute_that_doesn_exist__"""     ,		A_   ):
    pass
  with patch_submodule(_test_patching     ,		"""os.__attribute_that_doesn_exist__"""     ,		A_   ):
    pass


