import argparse
import os
import re


_UpperCAmelCase            =		"""src/diffusers"""

# Pattern that looks at the indentation in a line.
_UpperCAmelCase            =		re.compile(r"""^(\s*)\S""")
# Pattern that matches `"key":" and puts `key` in group 0.
_UpperCAmelCase            =		re.compile(r"""^\s*\"([^\"]+)\":""")
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
_UpperCAmelCase            =		re.compile(r"""^\s*_import_structure\[\"([^\"]+)\"\]""")
# Pattern that matches `"key",` and puts `key` in group 0.
_UpperCAmelCase            =		re.compile(r"""^\s*\"([^\"]+)\",\s*$""")
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
_UpperCAmelCase            =		re.compile(r"""\[([^\]]+)\]""")




def     UpperCamelCase						(	__lowercase						:			List[Any]     ):
		'''simple docstring'''




		A_		:    Any         =				_re_indent.search(__lowercase     )
		return "" if search is None else search.groups()[0]




def     UpperCamelCase						(	__lowercase						:			Tuple						,__lowercase						:			Optional[int]=""						,__lowercase						:			Tuple=None						,__lowercase						:			Optional[int]=None     ):
		'''simple docstring'''




		A_		:    int         =				0
		A_		:    Optional[Any]         =				code.split('\n'     )
		if start_prompt is not None:
				while not lines[index].startswith(__lowercase     ):
						index += 1
				A_		:    Optional[Any]         =				['\n'.join(lines[:index]     )]
		else:
				A_		:    Tuple         =				[]

		# We split into blocks until we get to the `end_prompt` (or the end of the block).
		A_		:    Optional[int]         =				[lines[index]]
		index += 1
		while index < len(__lowercase     ) and (end_prompt is None or not lines[index].startswith(__lowercase     )):
				if len(lines[index]     ) > 0 and get_indent(lines[index]     ) == indent_level:
						if len(__lowercase     ) > 0 and get_indent(current_block[-1]     ).startswith(indent_level + ' '     ):
								current_block.append(lines[index]     )
								blocks.append('\n'.join(__lowercase     )     )
								if index < len(__lowercase     ) - 1:
										A_		:    Optional[int]         =				[lines[index + 1]]
										index += 1
								else:
										A_		:    Dict         =				[]
						else:
								blocks.append('\n'.join(__lowercase     )     )
								A_		:    int         =				[lines[index]]
				else:
						current_block.append(lines[index]     )
				index += 1

		# Adds current block if it's nonempty.
		if len(__lowercase     ) > 0:
				blocks.append('\n'.join(__lowercase     )     )

		# Add final block after end_prompt if provided.
		if end_prompt is not None and index < len(__lowercase     ):
				blocks.append('\n'.join(lines[index:]     )     )

		return blocks




def     UpperCamelCase						(	__lowercase						:			Any     ):
		'''simple docstring'''




		def _inner(__lowercase						:			int     ):
				return key(__lowercase     ).lower().replace('_'						,''     )

		return _inner




def     UpperCamelCase						(	__lowercase						:			Dict						,__lowercase						:			Optional[int]=None     ):
		'''simple docstring'''




		def noop(__lowercase						:			Optional[Any]     ):
				return x

		if key is None:
				A_		:    Optional[int]         =				noop
		# Constants are all uppercase, they go first.
		A_		:    List[str]         =				[obj for obj in objects if key(__lowercase     ).isupper()]
		# Classes are not all uppercase but start with a capital, they go second.
		A_		:    Any         =				[obj for obj in objects if key(__lowercase     )[0].isupper() and not key(__lowercase     ).isupper()]
		# Functions begin with a lowercase, they go last.
		A_		:    Tuple         =				[obj for obj in objects if not key(__lowercase     )[0].isupper()]

		A_		:    Optional[int]         =				ignore_underscore(__lowercase     )
		return sorted(__lowercase						,key=__lowercase     ) + sorted(__lowercase						,key=__lowercase     ) + sorted(__lowercase						,key=__lowercase     )




def     UpperCamelCase						(	__lowercase						:			Optional[Any]     ):
		'''simple docstring'''




		def _replace(__lowercase						:			Optional[Any]     ):
				A_		:    Optional[int]         =				match.groups()[0]
				if "," not in imports:
						return f'''[{imports}]'''
				A_		:    Dict         =				[part.strip().replace('"'						,''     ) for part in imports.split(','     )]
				# We will have a final empty element if the line finished with a comma.
				if len(keys[-1]     ) == 0:
						A_		:    Tuple         =				keys[:-1]
				return "[" + ", ".join([f'''"{k}"''' for k in sort_objects(__lowercase     )]     ) + "]"

		A_		:    Optional[int]         =				import_statement.split('\n'     )
		if len(__lowercase     ) > 3:
				# Here we have to sort internal imports that are on several lines (one per name):
				# key: [
				#     "object1",
				#     "object2",
				#     ...
				# ]

				# We may have to ignore one or two lines on each side.
				A_		:    Tuple         =				2 if lines[1].strip() == '[' else 1
				A_		:    int         =				[(i, _re_strip_line.search(__lowercase     ).groups()[0]) for i, line in enumerate(lines[idx:-idx]     )]
				A_		:    Dict         =				sort_objects(__lowercase						,key=lambda __lowercase     : x[1]     )
				A_		:    Any         =				[lines[x[0] + idx] for x in sorted_indices]
				return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]     )
		elif len(__lowercase     ) == 3:
				# Here we have to sort internal imports that are on one separate line:
				# key: [
				#     "object1", "object2", ...
				# ]
				if _re_bracket_content.search(lines[1]     ) is not None:
						A_		:    Union[str, Any]         =				_re_bracket_content.sub(_replace						,lines[1]     )
				else:
						A_		:    Optional[int]         =				[part.strip().replace('"'						,''     ) for part in lines[1].split(','     )]
						# We will have a final empty element if the line finished with a comma.
						if len(keys[-1]     ) == 0:
								A_		:    Union[str, Any]         =				keys[:-1]
						A_		:    Optional[Any]         =				get_indent(lines[1]     ) + ', '.join([f'''"{k}"''' for k in sort_objects(__lowercase     )]     )
				return "\n".join(__lowercase     )
		else:
				# Finally we have to deal with imports fitting on one line
				A_		:    Tuple         =				_re_bracket_content.sub(_replace						,__lowercase     )
				return import_statement




def     UpperCamelCase						(	__lowercase						:			int						,__lowercase						:			Union[str, Any]=True     ):
		'''simple docstring'''




		with open(__lowercase						,'r'     ) as f:
				A_		:    Optional[Any]         =				f.read()

		if "_import_structure" not in code:
				return

		# Blocks of indent level 0
		A_		:    Any         =				split_code_in_indented_blocks(
		    __lowercase						,start_prompt='_import_structure = {'						,end_prompt='if TYPE_CHECKING:'     )

		# We ignore block 0 (everything until start_prompt) and the last block (everything after end_prompt).
		for block_idx in range(1						,len(__lowercase     ) - 1     ):
				# Check if the block contains some `_import_structure`s thingy to sort.
				A_		:    int         =				main_blocks[block_idx]
				A_		:    Optional[int]         =				block.split('\n'     )

				# Get to the start of the imports.
				A_		:    List[str]         =				0
				while line_idx < len(__lowercase     ) and "_import_structure" not in block_lines[line_idx]:
						# Skip dummy import blocks
						if "import dummy" in block_lines[line_idx]:
								A_		:    List[Any]         =				len(__lowercase     )
						else:
								line_idx += 1
				if line_idx >= len(__lowercase     ):
						continue

				# Ignore beginning and last line: they don't contain anything.
				A_		:    int         =				'\n'.join(block_lines[line_idx:-1]     )
				A_		:    Tuple         =				get_indent(block_lines[1]     )
				# Slit the internal block into blocks of indent level 1.
				A_		:    int         =				split_code_in_indented_blocks(__lowercase						,indent_level=__lowercase     )
				# We have two categories of import key: list or _import_structure[key].append/extend
				A_		:    Dict         =				_re_direct_key if '_import_structure' in block_lines[0] else _re_indirect_key
				# Grab the keys, but there is a trap: some lines are empty or just comments.
				A_		:    Optional[int]         =				[(pattern.search(__lowercase     ).groups()[0] if pattern.search(__lowercase     ) is not None else None) for b in internal_blocks]
				# We only sort the lines with a key.
				A_		:    Tuple         =				[(i, key) for i, key in enumerate(__lowercase     ) if key is not None]
				A_		:    Optional[int]         =				[x[0] for x in sorted(__lowercase						,key=lambda __lowercase     : x[1]     )]

				# We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
				A_		:    Tuple         =				0
				A_		:    Tuple         =				[]
				for i in range(len(__lowercase     )     ):
						if keys[i] is None:
								reordered_blocks.append(internal_blocks[i]     )
						else:
								A_		:    List[Any]         =				sort_objects_in_import(internal_blocks[sorted_indices[count]]     )
								reordered_blocks.append(__lowercase     )
								count += 1

        # And we put our main block back together with its first and last line.
				A_		:    Any         =				'\n'.join(block_lines[:line_idx] + reordered_blocks + [block_lines[-1]]     )

		if code != "\n".join(__lowercase     ):
				if check_only:
						return True
				else:
						print(f'''Overwriting {file}.'''     )
						with open(__lowercase						,'w'     ) as f:
								f.write('\n'.join(__lowercase     )     )




def     UpperCamelCase						(	__lowercase						:			List[Any]=True     ):
		'''simple docstring'''




		A_		:    Any         =				[]
		for root, _, files in os.walk(__lowercase     ):
				if "__init__.py" in files:
						A_		:    List[str]         =				sort_imports(os.path.join(__lowercase						,'__init__.py'     )						,check_only=__lowercase     )
						if result:
								A_		:    List[str]         =				[os.path.join(__lowercase						,'__init__.py'     )]
		if len(__lowercase     ) > 0:
				raise ValueError(f'''Would overwrite {len(__lowercase     )} files, run `make style`.'''     )


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

	sort_imports_in_all_inits(check_only=args.check_only)







import unittest

import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel

from diffusers import DDIMScheduler, LDMPipeline, UNetaDModel, VQModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device


enable_full_determinism()





class UpperCAmelCase						( unittest.TestCase  ):


				'''simple docstring'''






				@property
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						torch.manual_seed(0 )
						A_		:    int         =				UNetaDModel(
						    block_out_channels=(3_2, 6_4)		,     layers_per_block=2		,     sample_size=3_2		,     in_channels=3		,     out_channels=3		,     down_block_types=('DownBlock2D', 'AttnDownBlock2D')		,     up_block_types=('AttnUpBlock2D', 'UpBlock2D')		,     )
						return model
				@property
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						torch.manual_seed(0 )
						A_		:    Optional[Any]         =				VQModel(
						    block_out_channels=[3_2, 6_4]		,     in_channels=3		,     out_channels=3		,     down_block_types=['DownEncoderBlock2D', 'DownEncoderBlock2D']		,     up_block_types=['UpDecoderBlock2D', 'UpDecoderBlock2D']		,     latent_channels=3		,     )
						return model
				@property
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						torch.manual_seed(0 )
						A_		:    List[Any]         =				CLIPTextConfig(
						    bos_token_id=0		,     eos_token_id=2		,     hidden_size=3_2		,     intermediate_size=3_7		,     layer_norm_eps=1E-05		,     num_attention_heads=4		,     num_hidden_layers=5		,     pad_token_id=1		,     vocab_size=1_0_0_0		,     )
						return CLIPTextModel(lowercase )







				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    Optional[int]         =				self.dummy_uncond_unet
						A_		:    List[Any]         =				DDIMScheduler()
						A_		:    Any         =				self.dummy_vq_model

						A_		:    int         =				LDMPipeline(unet=lowercase		,     vqvae=lowercase		,     scheduler=lowercase )
						ldm.to(lowercase )
						ldm.set_progress_bar_config(disable=lowercase )

						A_		:    Any         =				torch.manual_seed(0 )
						A_		:    Dict         =				ldm(generator=lowercase		,     num_inference_steps=2		,     output_type='numpy' ).images

						A_		:    Any         =				torch.manual_seed(0 )
						A_		:    List[str]         =				ldm(generator=lowercase		,     num_inference_steps=2		,     output_type='numpy'		,     return_dict=lowercase )[0]

						A_		:    Union[str, Any]         =				image[0, -3:, -3:, -1]
						A_		:    int         =				image_from_tuple[0, -3:, -3:, -1]

						assert image.shape == (1, 6_4, 6_4, 3)
						A_		:    List[str]         =				np.array([0.8512, 0.818, 0.6411, 0.6808, 0.4465, 0.5618, 0.46, 0.6231, 0.5172] )
						A_		:    str         =				1E-2 if torch_device != 'mps' else 3E-2

						assert np.abs(image_slice.flatten() - expected_slice ).max() < tolerance
						assert np.abs(image_from_tuple_slice.flatten() - expected_slice ).max() < tolerance





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


				'''simple docstring'''






				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    List[Any]         =				LDMPipeline.from_pretrained('CompVis/ldm-celebahq-256' )
						ldm.to(lowercase )
						ldm.set_progress_bar_config(disable=lowercase )

						A_		:    Any         =				torch.manual_seed(0 )
						A_		:    List[str]         =				ldm(generator=lowercase		,     num_inference_steps=5		,     output_type='numpy' ).images

						A_		:    List[Any]         =				image[0, -3:, -3:, -1]

						assert image.shape == (1, 2_5_6, 2_5_6, 3)
						A_		:    Tuple         =				np.array([0.4399, 0.4_4975, 0.4_6825, 0.474, 0.4359, 0.4581, 0.4_5095, 0.4341, 0.4447] )
						A_		:    Dict         =				1E-2 if torch_device != 'mps' else 3E-2

						assert np.abs(image_slice.flatten() - expected_slice ).max() < tolerance






