






import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..bit import BitConfig


__A					=	logging.get_logger(__name__)

__A					=	{
    "Intel/dpt-large": "https://huggingface.co/Intel/dpt-large/resolve/main/config.json",
    # See all DPT models at https://huggingface.co/models?filter=dpt
}



class 				_A			(     UpperCamelCase				):
    """simple docstring"""

    lowerCamelCase	:							Optional[Any]				= 'dpt'



    def __init__(				self      :     List[Any] ,     __SCREAMING_SNAKE_CASE      :     str=768 ,     __SCREAMING_SNAKE_CASE      :     Optional[int]=12 ,     __SCREAMING_SNAKE_CASE      :     int=12 ,     __SCREAMING_SNAKE_CASE      :     Any=3072 ,     __SCREAMING_SNAKE_CASE      :     int="gelu" ,     __SCREAMING_SNAKE_CASE      :     Any=0.0 ,     __SCREAMING_SNAKE_CASE      :     Any=0.0 ,     __SCREAMING_SNAKE_CASE      :     Dict=0.02 ,     __SCREAMING_SNAKE_CASE      :     List[str]=1e-12 ,     __SCREAMING_SNAKE_CASE      :     Optional[Any]=384 ,     __SCREAMING_SNAKE_CASE      :     List[str]=16 ,     __SCREAMING_SNAKE_CASE      :     int=3 ,     __SCREAMING_SNAKE_CASE      :     Dict=False ,     __SCREAMING_SNAKE_CASE      :     List[Any]=True ,     __SCREAMING_SNAKE_CASE      :     Any=[2, 5, 8, 11] ,     __SCREAMING_SNAKE_CASE      :     Dict="project" ,     __SCREAMING_SNAKE_CASE      :     int=[4, 2, 1, 0.5] ,     __SCREAMING_SNAKE_CASE      :     Union[str, Any]=[96, 192, 384, 768] ,     __SCREAMING_SNAKE_CASE      :     str=256 ,     __SCREAMING_SNAKE_CASE      :     int=-1 ,     __SCREAMING_SNAKE_CASE      :     List[str]=False ,     __SCREAMING_SNAKE_CASE      :     Tuple=True ,     __SCREAMING_SNAKE_CASE      :     str=0.4 ,     __SCREAMING_SNAKE_CASE      :     Any=255 ,     __SCREAMING_SNAKE_CASE      :     Tuple=0.1 ,     __SCREAMING_SNAKE_CASE      :     Union[str, Any]=[1, 1024, 24, 24] ,     __SCREAMING_SNAKE_CASE      :     Tuple=[0, 1] ,     __SCREAMING_SNAKE_CASE      :     Union[str, Any]=None ,     **__SCREAMING_SNAKE_CASE      :     List[Any] ,     )      ->							Optional[int]:
           super().__init__(**__SCREAMING_SNAKE_CASE      )

           __UpperCAmelCase     				=hidden_size
           __UpperCAmelCase     				=is_hybrid

           if self.is_hybrid:
                  if backbone_config is None:
                         logger.info("""Initializing the config with a `BiT` backbone."""      )
                         __UpperCAmelCase     				={
                             """global_padding""": """same""",
                             """layer_type""": """bottleneck""",
                             """depths""": [3, 4, 9],
                             """out_features""": ["""stage1""", """stage2""", """stage3"""],
                             """embedding_dynamic_padding""": True,
                         }
                         __UpperCAmelCase     				=BitConfig(**__SCREAMING_SNAKE_CASE      )
                  elif isinstance(__SCREAMING_SNAKE_CASE ,     __SCREAMING_SNAKE_CASE      ):
                         logger.info("""Initializing the config with a `BiT` backbone."""      )
                         __UpperCAmelCase     				=BitConfig(**__SCREAMING_SNAKE_CASE      )
                  elif isinstance(__SCREAMING_SNAKE_CASE ,     __SCREAMING_SNAKE_CASE      ):
                         __UpperCAmelCase     				=backbone_config
                  else:
                         raise ValueError(
                             f'''backbone_config must be a dictionary or a `PretrainedConfig`, got {backbone_config.__class__}.'''      )

                  __UpperCAmelCase     				=backbone_featmap_shape
                  __UpperCAmelCase     				=neck_ignore_stages

                  if readout_type != "project":
                         raise ValueError("""Readout type must be 'project' when using `DPT-hybrid` mode."""      )
           else:
                  __UpperCAmelCase     				=None
                  __UpperCAmelCase     				=None
                  __UpperCAmelCase     				=[]

           __UpperCAmelCase     				=num_hidden_layers
           __UpperCAmelCase     				=num_attention_heads
           __UpperCAmelCase     				=intermediate_size
           __UpperCAmelCase     				=hidden_act
           __UpperCAmelCase     				=hidden_dropout_prob
           __UpperCAmelCase     				=attention_probs_dropout_prob
           __UpperCAmelCase     				=initializer_range
           __UpperCAmelCase     				=layer_norm_eps
           __UpperCAmelCase     				=image_size
           __UpperCAmelCase     				=patch_size
           __UpperCAmelCase     				=num_channels
           __UpperCAmelCase     				=qkv_bias
           __UpperCAmelCase     				=backbone_out_indices
           if readout_type not in ["ignore", "add", "project"]:
                  raise ValueError("""Readout_type must be one of ['ignore', 'add', 'project']"""      )
           __UpperCAmelCase     				=readout_type
           __UpperCAmelCase     				=reassemble_factors
           __UpperCAmelCase     				=neck_hidden_sizes
           __UpperCAmelCase     				=fusion_hidden_size
           __UpperCAmelCase     				=head_in_index
           __UpperCAmelCase     				=use_batch_norm_in_fusion_residual
           # auxiliary head attributes (semantic segmentation)
           __UpperCAmelCase     				=use_auxiliary_head
           __UpperCAmelCase     				=auxiliary_loss_weight
           __UpperCAmelCase     				=semantic_loss_ignore_index
           __UpperCAmelCase     				=semantic_classifier_dropout



    def _a							(				self      :     str      )      ->							Any:
           __UpperCAmelCase     				=copy.deepcopy(self.__dict__      )

           if output["backbone_config"] is not None:
                  __UpperCAmelCase     				=self.backbone_config.to_dict()

           __UpperCAmelCase     				=self.__class__.model_type
           return output










'''simple docstring'''


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

import black


_snake_case : str  				=						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 : List[str]  				=						'    \"""\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       ):







							def   __lowerCAmelCase     (    self			:    int   )     ->				List[Any]:


														"""simple docstring"""


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







							def   __lowerCAmelCase     (    self			:    Dict   )     ->				int:


														"""simple docstring"""


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







							def   __lowerCAmelCase     (    self			:    int				,     lowerCAmelCase_			:    str				,     lowerCAmelCase_			:    List[Any]				,     lowerCAmelCase_			:    Union[str, Any]				,     lowerCAmelCase_			:    str=None   )     ->				Union[str, Any]:


														"""simple docstring"""


														_a      	=							comment + F'\nclass {class_name}(nn.Module):\n' + class_code
														if overwrite_result is not None:
																					_a      	=							comment + F'\nclass {class_name}(nn.Module):\n' + overwrite_result
														_a      	=							black.Mode(target_versions={black.TargetVersion.PYaa}				,     line_length=1_19   )
														_a      	=							black.format_str(lowerCAmelCase_				,     mode=lowerCAmelCase_   )
														_a      	=							os.path.join(self.diffusers_dir				,     '''new_code.py'''   )
														with open(lowerCAmelCase_				,     '''w'''				,     newline='''\n'''   ) as f:
																					f.write(lowerCAmelCase_   )
														if overwrite_result is None:
																					self.assertTrue(len(check_copies.is_copy_consistent(lowerCAmelCase_   )   ) == 0   )
														else:
																					check_copies.is_copy_consistent(f.name				,     overwrite=lowerCAmelCase_   )
																					with open(lowerCAmelCase_				,     '''r'''   ) as f:
																												self.assertTrue(f.read()				,     lowerCAmelCase_   )







							def   __lowerCAmelCase     (    self			:    Optional[Any]   )     ->				Union[str, Any]:


														"""simple docstring"""


														_a      	=							check_copies.find_code_in_diffusers('''schedulers.scheduling_ddpm.DDPMSchedulerOutput'''   )
														self.assertEqual(lowerCAmelCase_				,     lowerCAmelCase_   )







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


														"""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'''				,     lowerCAmelCase_				,     )

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

														# Copy consistency with a really long name
														_a      	=							'''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'''				,     lowerCAmelCase_				,     lowerCAmelCase_   )				,     )

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

