





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

import black


snake_case_							=			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.
snake_case_							=			'''    \"""
    Output class for the scheduler\'s step function output.

    Args:
        prev_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):
            Computed sample (x_{t-1}) of previous timestep. `prev_sample` should be used as next model input in the
            denoising loop.
        pred_original_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):
            The predicted denoised sample (x_{0}) based on the model output from the current timestep.
            `pred_original_sample` can be used to preview progress or for guidance.
    \"""

    prev_sample: torch.FloatTensor
    pred_original_sample: Optional[torch.FloatTensor] = None
'''
class        snake_case_		(			unittest.TestCase):

		'''simple docstring'''





		def 			__lowercase   (		self   )				->   Tuple:
				lowerCamelCase   : Any								=tempfile.mkdtemp()
				os.makedirs(os.path.join(self.diffusers_dir			,     '''schedulers/'''   )   )
				lowerCamelCase   : str								=self.diffusers_dir
				shutil.copy(
				    os.path.join(__lowercase			,     '''src/diffusers/schedulers/scheduling_ddpm.py'''   )			,     os.path.join(self.diffusers_dir			,     '''schedulers/scheduling_ddpm.py'''   )			,     )







		def 			__lowercase   (		self   )				->   Optional[int]:
				lowerCamelCase   : List[Any]								='''src/diffusers'''
				shutil.rmtree(self.diffusers_dir   )







		def 			__lowercase   (		self			,     __lowercase			,     __lowercase			,     __lowercase			,     __lowercase=None   )				->   int:
				lowerCamelCase   : Optional[int]								=comment + F"\nclass {class_name}(nn.Module):\n" + class_code
				if overwrite_result is not None:
						lowerCamelCase   : Any								=comment + F"\nclass {class_name}(nn.Module):\n" + overwrite_result
				lowerCamelCase   : str								=black.Mode(target_versions={black.TargetVersion.PYaa}			,     line_length=1_1_9   )
				lowerCamelCase   : Any								=black.format_str(__lowercase			,     mode=__lowercase   )
				lowerCamelCase   : Optional[Any]								=os.path.join(self.diffusers_dir			,     '''new_code.py'''   )
				with open(__lowercase			,     '''w'''			,     newline='''\n'''   ) as f:
						f.write(__lowercase   )
				if overwrite_result is None:
						self.assertTrue(len(check_copies.is_copy_consistent(__lowercase   )   ) == 0   )
				else:
						check_copies.is_copy_consistent(f.name			,     overwrite=__lowercase   )
						with open(__lowercase			,     '''r'''   ) as f:
								self.assertTrue(f.read()			,     __lowercase   )







		def 			__lowercase   (		self   )				->   List[Any]:
				lowerCamelCase   : str								=check_copies.find_code_in_diffusers('''schedulers.scheduling_ddpm.DDPMSchedulerOutput'''   )
				self.assertEqual(__lowercase			,     __lowercase   )







		def 			__lowercase   (		self   )				->   int:
				# Base copy consistency
				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'''			,     __lowercase			,     )

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

				# Copy consistency with a really long name
				lowerCamelCase   : Any								='''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'''			,     __lowercase			,     __lowercase   )			,     )

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








from abc import ABC, abstractmethod
from typing import Optional, Union

from .. import Dataset, DatasetDict, Features, IterableDataset, IterableDatasetDict, NamedSplit
from ..utils.typing import NestedDataStructureLike, PathLike
class        snake_case_		(			_A):







		def __init__(		self			,     __lowercase = None			,     __lowercase = None			,     __lowercase = None			,     __lowercase = None			,     __lowercase = False			,     __lowercase = False			,     __lowercase = None			,     **__lowercase			,     )				->   List[Any]:
				lowerCamelCase   : Dict								=path_or_paths
				lowerCamelCase   : Optional[int]								=split if split or isinstance(__lowercase			,     __lowercase   ) else '''train'''
				lowerCamelCase   : Tuple								=features
				lowerCamelCase   : Tuple								=cache_dir
				lowerCamelCase   : Optional[Any]								=keep_in_memory
				lowerCamelCase   : Any								=streaming
				lowerCamelCase   : Dict								=num_proc
				lowerCamelCase   : List[Any]								=kwargs







		@abstractmethod
		def 			__lowercase   (		self   )				->   Union[Dataset, DatasetDict, IterableDataset, IterableDatasetDict]:
				pass

class        snake_case_		(			_A):







		def __init__(		self			,     __lowercase = None			,     __lowercase = None			,     __lowercase = False			,     __lowercase = False			,     __lowercase = None			,     **__lowercase			,     )				->   List[str]:
				lowerCamelCase   : Tuple								=features
				lowerCamelCase   : Union[str, Any]								=cache_dir
				lowerCamelCase   : Optional[int]								=keep_in_memory
				lowerCamelCase   : List[str]								=streaming
				lowerCamelCase   : List[str]								=num_proc
				lowerCamelCase   : List[str]								=kwargs







		@abstractmethod
		def 			__lowercase   (		self   )				->   Union[Dataset, IterableDataset]:
				pass

