




import os

import pytest

from transformers.dynamic_module_utils import get_imports


lowerCamelCase__			:       List[Any]         =							'\nimport os\n'

lowerCamelCase__			:       Optional[int]         =							'\ndef foo():\n    import os\n    return False\n'

lowerCamelCase__			:       Optional[Any]         =							'\ndef foo():\n    def bar():\n        if True:\n            import os\n        return False\n    return bar()\n'

lowerCamelCase__			:       List[str]         =							'\nimport os\n\ntry:\n    import bar\nexcept ImportError:\n    raise ValueError()\n'

lowerCamelCase__			:       Dict         =							'\nimport os\n\ndef foo():\n    try:\n        import bar\n    except ImportError:\n        raise ValueError()\n'

lowerCamelCase__			:       List[str]         =							'\nimport os\n\ntry:\n    import bar\nexcept (ImportError, AttributeError):\n    raise ValueError()\n'

lowerCamelCase__			:       int         =							'\nimport os\n\ntry:\n    import bar\nexcept ImportError as e:\n    raise ValueError()\n'

lowerCamelCase__			:       int         =							'\nimport os\n\ntry:\n    import bar\nexcept:\n    raise ValueError()\n'

lowerCamelCase__			:       List[str]         =							'\nimport os\n\ntry:\n    import bar\n    import baz\nexcept ImportError:\n    raise ValueError()\n'

lowerCamelCase__			:       str         =							'\nimport os\n\ntry:\n    import bar\n    import baz\nexcept ImportError:\n    x = 1\n    raise ValueError()\n'

lowerCamelCase__			:       int         =							[
    TOP_LEVEL_IMPORT,
    IMPORT_IN_FUNCTION,
    DEEPLY_NESTED_IMPORT,
    TOP_LEVEL_TRY_IMPORT,
    GENERIC_EXCEPT_IMPORT,
    MULTILINE_TRY_IMPORT,
    MULTILINE_BOTH_IMPORT,
    MULTIPLE_EXCEPTS_IMPORT,
    EXCEPT_AS_IMPORT,
    TRY_IMPORT_IN_FUNCTION,
]

@pytest.mark.parametrize('case'      ,      __UpperCAmelCase							)
def  UpperCAmelCase_							(				__UpperCAmelCase						:     str      ,      __UpperCAmelCase						:     Union[str, Any]							) ->			List[Any]:
      SCREAMING_SNAKE_CASE_     						=      os.path.join(__UpperCAmelCase      ,      'test_file.py'							)
      with open(__UpperCAmelCase      ,      'w'							) as _tmp_file:
            _tmp_file.write(__UpperCAmelCase							)

      SCREAMING_SNAKE_CASE_     						=      get_imports(__UpperCAmelCase							)
      assert parsed_imports == ["os"]





import gc
import threading
import time

import psutil
import torch





class 	lowerCamelCase_							:


 '''simple docstring'''







 def __init__(							self  :		Optional[Any]						):
       SCREAMING_SNAKE_CASE_     						=      psutil.Process()
       SCREAMING_SNAKE_CASE_     						=      False



 def 				lowerCAmelCase_  (							self  :		Dict						):
       SCREAMING_SNAKE_CASE_     						=      -1

       while True:
             SCREAMING_SNAKE_CASE_     						=      max(self.process.memory_info().rss    ,    self.cpu_memory_peak						)

             # can't sleep or will not catch the peak right (this comment is here on purpose)
             if not self.peak_monitoring:
                   break



 def 				lowerCAmelCase_  (							self  :		List[str]						):
       SCREAMING_SNAKE_CASE_     						=      True
       SCREAMING_SNAKE_CASE_     						=      threading.Thread(target=self.peak_monitor						)
       SCREAMING_SNAKE_CASE_     						=      True
       self.thread.start()




 def 				lowerCAmelCase_  (							self  :		List[str]						):
       SCREAMING_SNAKE_CASE_     						=      False
       self.thread.join()
       return self.cpu_memory_peak


lowerCamelCase__			:       List[str]         =							PeakCPUMemory()

def  UpperCAmelCase_							(				) ->			Tuple:
      # Time
      SCREAMING_SNAKE_CASE_     						=      {'time': time.time()}

      gc.collect()
      torch.cuda.empty_cache()

      # CPU mem
      SCREAMING_SNAKE_CASE_     						=      psutil.Process().memory_info().rss
      cpu_peak_tracker.start()

      # GPU mem
      for i in range(torch.cuda.device_count()							):
            SCREAMING_SNAKE_CASE_     						=      torch.cuda.memory_allocated(__UpperCAmelCase							)
      torch.cuda.reset_peak_memory_stats()

      return measures

def  UpperCAmelCase_							(				__UpperCAmelCase						:     Optional[int]							) ->			Optional[Any]:
      # Time
      SCREAMING_SNAKE_CASE_     						=      {'time': time.time() - start_measures['time']}

      gc.collect()
      torch.cuda.empty_cache()

      # CPU mem
      SCREAMING_SNAKE_CASE_     						=      (psutil.Process().memory_info().rss - start_measures['cpu']) / 2**20
      SCREAMING_SNAKE_CASE_     						=      (cpu_peak_tracker.stop() - start_measures['cpu']) / 2**20

      # GPU mem
      for i in range(torch.cuda.device_count()							):
            SCREAMING_SNAKE_CASE_     						=      (torch.cuda.memory_allocated(__UpperCAmelCase							) - start_measures[str(__UpperCAmelCase							)]) / 2**20
            SCREAMING_SNAKE_CASE_     						=      (torch.cuda.max_memory_allocated(__UpperCAmelCase							) - start_measures[str(__UpperCAmelCase							)]) / 2**20

      return measures





def  UpperCAmelCase_							(				__UpperCAmelCase						:     Optional[int]      ,      __UpperCAmelCase						:     Any							) ->			Optional[Any]:
      print(f"{description}:"							)
      print(f"- Time: {measures['time']:.2f}s"							)
      for i in range(torch.cuda.device_count()							):
            print(f"- GPU {i} allocated: {measures[str(__UpperCAmelCase							)]:.2f}MiB"							)
            SCREAMING_SNAKE_CASE_     						=      measures[f"{i}-peak"]
            print(f"- GPU {i} peak: {peak:.2f}MiB"							)
      print(f"- CPU RAM allocated: {measures['cpu']:.2f}MiB"							)
      print(f"- CPU RAM peak: {measures['cpu-peak']:.2f}MiB"							)