





"""simple docstring"""






import unittest

import numpy as np
import torch

from diffusers import ScoreSdeVePipeline, ScoreSdeVeScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device


enable_full_determinism()



class 	lowerCAmelCase					(      unittest.TestCase							):






       @property
       def 							__A (   self     ):
              torch.manual_seed(0     )
              _UpperCAmelCase     =     UNetaDModel(
                  block_out_channels=(32, 64)    ,  layers_per_block=2    ,  sample_size=32    ,  in_channels=3    ,  out_channels=3    ,  down_block_types=('DownBlock2D', 'AttnDownBlock2D')    ,  up_block_types=('AttnUpBlock2D', 'UpBlock2D')    ,  )
              return model






       def 							__A (   self     ):
              _UpperCAmelCase     =     self.dummy_uncond_unet
              _UpperCAmelCase     =     ScoreSdeVeScheduler()

              _UpperCAmelCase     =     ScoreSdeVePipeline(unet=_lowercase    ,  scheduler=_lowercase     )
              sde_ve.to(_lowercase     )
              sde_ve.set_progress_bar_config(disable=_lowercase     )

              _UpperCAmelCase     =     torch.manual_seed(0     )
              _UpperCAmelCase     =     sde_ve(num_inference_steps=2    ,  output_type='numpy'    ,  generator=_lowercase     ).images

              _UpperCAmelCase     =     torch.manual_seed(0     )
              _UpperCAmelCase     =     sde_ve(num_inference_steps=2    ,  output_type='numpy'    ,  generator=_lowercase    ,  return_dict=_lowercase     )[
                  0
              ]

              _UpperCAmelCase     =     image[0, -3:, -3:, -1]
              _UpperCAmelCase     =     image_from_tuple[0, -3:, -3:, -1]

              assert image.shape == (1, 32, 32, 3)
              _UpperCAmelCase     =     np.array([0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0]     )

              assert np.abs(image_slice.flatten() - expected_slice     ).max() < 1E-2
              assert np.abs(image_from_tuple_slice.flatten() - expected_slice     ).max() < 1E-2



@slow
@require_torch
class 	lowerCAmelCase					(      unittest.TestCase							):






       def 							__A (   self     ):
              _UpperCAmelCase     =     'google/ncsnpp-church-256'
              _UpperCAmelCase     =     UNetaDModel.from_pretrained(_lowercase     )

              _UpperCAmelCase     =     ScoreSdeVeScheduler.from_pretrained(_lowercase     )

              _UpperCAmelCase     =     ScoreSdeVePipeline(unet=_lowercase    ,  scheduler=_lowercase     )
              sde_ve.to(_lowercase     )
              sde_ve.set_progress_bar_config(disable=_lowercase     )

              _UpperCAmelCase     =     torch.manual_seed(0     )
              _UpperCAmelCase     =     sde_ve(num_inference_steps=10    ,  output_type='numpy'    ,  generator=_lowercase     ).images

              _UpperCAmelCase     =     image[0, -3:, -3:, -1]

              assert image.shape == (1, 2_56, 2_56, 3)

              _UpperCAmelCase     =     np.array([0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0]     )

              assert np.abs(image_slice.flatten() - expected_slice     ).max() < 1E-2













"""simple docstring"""






import argparse
import os
import re


lowerCAmelCase_			=							'''src/transformers/models/auto'''


# re pattern that matches mapping introductions:
#    SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
lowerCAmelCase_			=							re.compile(r'''[A-Z_]+_MAPPING(\s+|_[A-Z_]+\s+)=\s+OrderedDict''')
# re pattern that matches identifiers in mappings
lowerCAmelCase_			=							re.compile(r'''\s*\(\s*"(\S[^"]+)"''')

def       __lowerCamelCase    (       SCREAMING_SNAKE_CASE,SCREAMING_SNAKE_CASE = False							)		->       Optional[Any]:






       """simple docstring"""




       with open(SCREAMING_SNAKE_CASE,'r',encoding='utf-8'							) as f:
              _UpperCAmelCase     =     f.read()

       _UpperCAmelCase     =     content.split('\n'							)
       _UpperCAmelCase     =     []
       _UpperCAmelCase     =     0
       while line_idx < len(SCREAMING_SNAKE_CASE							):
              if _re_intro_mapping.search(lines[line_idx]							) is not None:
                     _UpperCAmelCase     =     len(re.search(R'^(\s*)\S',lines[line_idx]							).groups()[0]							) + 8
                     # Start of a new mapping!
                     while not lines[line_idx].startswith(' ' * indent + '('							):
                            new_lines.append(lines[line_idx]							)
                            line_idx += 1

                     _UpperCAmelCase     =     []
                     while lines[line_idx].strip() != "]":
                            # Blocks either fit in one line or not
                            if lines[line_idx].strip() == "(":
                                   _UpperCAmelCase     =     line_idx
                                   while not lines[line_idx].startswith(' ' * indent + ')'							):
                                          line_idx += 1
                                   blocks.append('\n'.join(lines[start_idx : line_idx + 1]							)							)
                            else:
                                   blocks.append(lines[line_idx]							)
                            line_idx += 1

                     # Sort blocks by their identifiers
                     _UpperCAmelCase     =     sorted(SCREAMING_SNAKE_CASE,key=lambda SCREAMING_SNAKE_CASE							: _re_identifier.search(SCREAMING_SNAKE_CASE							).groups()[0]							)
                     new_lines += blocks
              else:
                     new_lines.append(lines[line_idx]							)
                     line_idx += 1

       if overwrite:
              with open(SCREAMING_SNAKE_CASE,'w',encoding='utf-8'							) as f:
                     f.write('\n'.join(SCREAMING_SNAKE_CASE							)							)
       elif "\n".join(SCREAMING_SNAKE_CASE							) != content:
              return True

def       __lowerCamelCase    (       SCREAMING_SNAKE_CASE = False							)		->       Union[str, Any]:






       """simple docstring"""




       _UpperCAmelCase     =     [os.path.join(SCREAMING_SNAKE_CASE,SCREAMING_SNAKE_CASE							) for f in os.listdir(SCREAMING_SNAKE_CASE							) if f.endswith('.py'							)]
       _UpperCAmelCase     =     [sort_auto_mapping(SCREAMING_SNAKE_CASE,overwrite=SCREAMING_SNAKE_CASE							) for fname in fnames]

       if not overwrite and any(SCREAMING_SNAKE_CASE							):
              _UpperCAmelCase     =     [f for f, d in zip(SCREAMING_SNAKE_CASE,SCREAMING_SNAKE_CASE							) if d]
              raise ValueError(
                  F"""The following files have auto mappings that need sorting: {", ".join(SCREAMING_SNAKE_CASE							)}. Run `make style` to fix"""
                  ' this.'							)


if __name__ == "__main__":
    lowerCAmelCase_			=							argparse.ArgumentParser()
    parser.add_argument('''--check_only''', action='''store_true''', help='''Whether to only check or fix style.''')
    lowerCAmelCase_			=							parser.parse_args()

    sort_all_auto_mappings(not args.check_only)






