




import functools
import logging
import os
import sys
import threading
from logging import (
    CRITICAL,  # NOQA
    DEBUG,  # NOQA
    ERROR,  # NOQA
    FATAL,  # NOQA
    INFO,  # NOQA
    NOTSET,  # NOQA
    WARN,  # NOQA
    WARNING,  # NOQA
)
from typing import Optional

import huggingface_hub.utils as hf_hub_utils
from tqdm import auto as tqdm_lib


lowerCamelCase       :	List[str]									=     threading.Lock()
lowerCamelCase       :	Optional[logging.Handler]									=     None

lowerCamelCase       :	int									=     {
    "debug": logging.DEBUG,
    "info": logging.INFO,
    "warning": logging.WARNING,
    "error": logging.ERROR,
    "critical": logging.CRITICAL,
}

lowerCamelCase       :	str									=     logging.WARNING

lowerCamelCase       :	List[str]									=     True

def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      lowerCamelCase_	  =					os.getenv('TRANSFORMERS_VERBOSITY'			,							lowercase  )
      if env_level_str:
            if env_level_str in log_levels:
                  return log_levels[env_level_str]
            else:
                  logging.getLogger().warning(
                      f"""Unknown option TRANSFORMERS_VERBOSITY={env_level_str}, """
                      f"""has to be one of: { ", ".join(log_levels.keys()  ) }"""  )
      return _default_log_level

def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      return __name__.split('.'  )[0]

def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      return logging.getLogger(_get_library_name()  )

def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      global _default_handler

      with _lock:
            if _default_handler:
                  # This library has already configured the library root logger.
                  return
            lowerCamelCase_	  =					logging.StreamHandler()  # Set sys.stderr as stream.
            lowerCamelCase_	  =					sys.stderr.flush

            # Apply our default configuration to the library root logger.
            lowerCamelCase_	  =					_get_library_root_logger()
            library_root_logger.addHandler(_default_handler  )
            library_root_logger.setLevel(_get_default_logging_level()  )
            lowerCamelCase_	  =					False

def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      global _default_handler

      with _lock:
            if not _default_handler:
                  return

            lowerCamelCase_	  =					_get_library_root_logger()
            library_root_logger.removeHandler(_default_handler  )
            library_root_logger.setLevel(logging.NOTSET  )
            lowerCamelCase_	  =					None

def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      return log_levels

def     _SCREAMING_SNAKE_CASE    (							lowercase			: Optional[str] = None  ):


      '''simple docstring'''



      if name is None:
            lowerCamelCase_	  =					_get_library_name()

      _configure_library_root_logger()
      return logging.getLogger(lowercase  )

def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      _configure_library_root_logger()
      return _get_library_root_logger().getEffectiveLevel()

def     _SCREAMING_SNAKE_CASE    (							lowercase			: int  ):


      '''simple docstring'''



      _configure_library_root_logger()
      _get_library_root_logger().setLevel(lowercase  )

def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      return set_verbosity(lowercase  )

def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      return set_verbosity(lowercase  )

def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      return set_verbosity(lowercase  )

def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      return set_verbosity(lowercase  )

def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      _configure_library_root_logger()

      assert _default_handler is not None
      _get_library_root_logger().removeHandler(_default_handler  )

def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      _configure_library_root_logger()

      assert _default_handler is not None
      _get_library_root_logger().addHandler(_default_handler  )

def     _SCREAMING_SNAKE_CASE    (							lowercase			: logging.Handler  ):


      '''simple docstring'''



      _configure_library_root_logger()

      assert handler is not None
      _get_library_root_logger().addHandler(lowercase  )

def     _SCREAMING_SNAKE_CASE    (							lowercase			: logging.Handler  ):


      '''simple docstring'''



      _configure_library_root_logger()

      assert handler is not None and handler not in _get_library_root_logger().handlers
      _get_library_root_logger().removeHandler(lowercase  )

def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      _configure_library_root_logger()
      lowerCamelCase_	  =					False

def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      _configure_library_root_logger()
      lowerCamelCase_	  =					True

def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      lowerCamelCase_	  =					_get_library_root_logger().handlers

      for handler in handlers:
            lowerCamelCase_	  =					logging.Formatter('[%(levelname)s|%(filename)s:%(lineno)s] %(asctime)s >> %(message)s'  )
            handler.setFormatter(lowercase  )

def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      lowerCamelCase_	  =					_get_library_root_logger().handlers

      for handler in handlers:
            handler.setFormatter(lowercase  )

def     _SCREAMING_SNAKE_CASE    (							self			: List[str]			,							*lowercase			: List[str]			,							**lowercase			: str  ):


      '''simple docstring'''



      lowerCamelCase_	  =					os.getenv('TRANSFORMERS_NO_ADVISORY_WARNINGS'			,							lowercase  )
      if no_advisory_warnings:
            return
      self.warning(*lowercase			,							**lowercase  )


lowerCamelCase       :	Optional[Any]									=     warning_advice

@functools.lru_cache(lowercase  )
def     _SCREAMING_SNAKE_CASE    (							self			: Any			,							*lowercase			: Any			,							**lowercase			: Union[str, Any]  ):


      '''simple docstring'''



      self.warning(*lowercase			,							**lowercase  )


lowerCamelCase       :	Optional[int]									=     warning_once







class 						A:



 '''simple docstring'''


 def __init__(       self      :						List[str]		,							*A_      :						Tuple		,							**A_      :						Any						)     ->			List[str]:  # pylint: disable=unused-argument

       """simple docstring"""






       lowerCamelCase_	  =					args[0] if args else None

 def __iter__(       self      :						str						)     ->			List[Any]:

       """simple docstring"""






       return iter(self._iterator						)

 def __getattr__(       self      :						Tuple		,							A_      :						str						)     ->			List[Any]:

       """simple docstring"""






       def empty_fn(*A_      :						List[Any]		,							**A_      :						Optional[int]						):  # pylint: disable=unused-argument
             return

       return empty_fn

 def __enter__(       self      :						Dict						)     ->			int:

       """simple docstring"""






       return self





 def __exit__(       self      :						Optional[int]		,							A_      :						str		,							A_      :						int		,							A_      :						str						)     ->			Tuple:

       """simple docstring"""






       return







class 						A:



 '''simple docstring'''


 def __call__(       self      :						Tuple		,							*A_      :						Union[str, Any]		,							**A_      :						int						)     ->			List[str]:

       """simple docstring"""






       if _tqdm_active:
             return tqdm_lib.tqdm(*A_		,							**A_						)
       else:
             return EmptyTqdm(*A_		,							**A_						)

 def        a__				(       self      :						Tuple		,							*A_      :						Dict		,							**A_      :						Union[str, Any]						)     ->			Optional[int]:

       """simple docstring"""






       lowerCamelCase_	  =					None
       if _tqdm_active:
             return tqdm_lib.tqdm.set_lock(*A_		,							**A_						)





 def        a__				(       self      :						Union[str, Any]						)     ->			Dict:

       """simple docstring"""






       if _tqdm_active:
             return tqdm_lib.tqdm.get_lock()

lowerCamelCase       :	List[Any]									=     _tqdm_cls()

def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      global _tqdm_active
      return bool(_tqdm_active  )

def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      global _tqdm_active
      lowerCamelCase_	  =					True
      hf_hub_utils.enable_progress_bars()






def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      global _tqdm_active
      lowerCamelCase_	  =					False
      hf_hub_utils.disable_progress_bars()









import os
import re
import shutil
import sys
import tempfile
import unittest

import black


lowerCamelCase       :	List[Any]									=     os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, "utils"))

import check_copies  # noqa: E402


# This is the reference code that will be used in the tests.
# If DDPMSchedulerOutput is changed in scheduling_ddpm.py, this code needs to be manually updated.
lowerCamelCase       :	Tuple									=     "    \"\"\"\n    Output class for the scheduler's step function output.\n\n    Args:\n        prev_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):\n            Computed sample (x_{t-1}) of previous timestep. `prev_sample` should be used as next model input in the\n            denoising loop.\n        pred_original_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):\n            The predicted denoised sample (x_{0}) based on the model output from the current timestep.\n            `pred_original_sample` can be used to preview progress or for guidance.\n    \"\"\"\n\n    prev_sample: torch.FloatTensor\n    pred_original_sample: Optional[torch.FloatTensor] = None\n"







class 						A(		unittest.TestCase     ):



 '''simple docstring'''


 def        a__				(       self      :						Union[str, Any]						)     ->			List[str]:

       """simple docstring"""






       lowerCamelCase_	  =					tempfile.mkdtemp()
       os.makedirs(os.path.join(self.diffusers_dir		,							'schedulers/'						)						)
       lowerCamelCase_	  =					self.diffusers_dir
       shutil.copy(
           os.path.join(A_		,							'src/diffusers/schedulers/scheduling_ddpm.py'						)		,							os.path.join(self.diffusers_dir		,							'schedulers/scheduling_ddpm.py'						)		,							)

 def        a__				(       self      :						Tuple						)     ->			List[str]:

       """simple docstring"""






       lowerCamelCase_	  =					'src/diffusers'
       shutil.rmtree(self.diffusers_dir						)

 def        a__				(       self      :						str		,							A_      :						Optional[Any]		,							A_      :						Optional[int]		,							A_      :						str		,							A_      :						Optional[Any]=None						)     ->			int:

       """simple docstring"""






       lowerCamelCase_	  =					comment + f"""\nclass {class_name}(nn.Module):\n""" + class_code
       if overwrite_result is not None:
             lowerCamelCase_	  =					comment + f"""\nclass {class_name}(nn.Module):\n""" + overwrite_result
       lowerCamelCase_	  =					black.Mode(target_versions={black.TargetVersion.PYaa}		,							line_length=119						)
       lowerCamelCase_	  =					black.format_str(A_		,							mode=A_						)
       lowerCamelCase_	  =					os.path.join(self.diffusers_dir		,							'new_code.py'						)
       with open(A_		,							'w'		,							newline='\n'						) as f:
             f.write(A_						)
       if overwrite_result is None:
             self.assertTrue(len(check_copies.is_copy_consistent(A_						)						) == 0						)
       else:
             check_copies.is_copy_consistent(f.name		,							overwrite=A_						)
             with open(A_		,							'r'						) as f:
                   self.assertTrue(f.read()		,							A_						)

 def        a__				(       self      :						Optional[int]						)     ->			Dict:

       """simple docstring"""






       lowerCamelCase_	  =					check_copies.find_code_in_diffusers('schedulers.scheduling_ddpm.DDPMSchedulerOutput'						)
       self.assertEqual(A_		,							A_						)





 def        a__				(       self      :						Any						)     ->			Dict:

       """simple docstring"""






       self.check_copy_consistency(
           '# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput'		,							'DDPMSchedulerOutput'		,							REFERENCE_CODE + '\n'		,							)

       # With no empty line at the end
       self.check_copy_consistency(
           '# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput'		,							'DDPMSchedulerOutput'		,							A_		,							)

       # Copy consistency with rename
       self.check_copy_consistency(
           '# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test'		,							'TestSchedulerOutput'		,							re.sub('DDPM'		,							'Test'		,							A_						)		,							)

       # Copy consistency with a really long name
       lowerCamelCase_	  =					'TestClassWithAReallyLongNameBecauseSomePeopleLikeThatForSomeReason'
       self.check_copy_consistency(
           f"""# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->{long_class_name}"""		,							f"""{long_class_name}SchedulerOutput"""		,							re.sub('Bert'		,							A_		,							A_						)		,							)

       # Copy consistency with overwrite
       self.check_copy_consistency(
           '# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test'		,							'TestSchedulerOutput'		,							A_		,							overwrite_result=re.sub('DDPM'		,							'Test'		,							A_						)		,							)



