



'''simple docstring'''





import argparse
import glob
import importlib.util
import os
import re

import black
from doc_builder.style_doc import style_docstrings_in_code


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
a_						:     Union[str, Any]	     =		'src/diffusers'
a_						:     Any	     =		'.'


# This is to make sure the diffusers module imported is the one in the repo.
a_						:     List[Any]	     =		importlib.util.spec_from_file_location(
    'diffusers',
    os.path.join(DIFFUSERS_PATH, '__init__.py'),
    submodule_search_locations=[DIFFUSERS_PATH],
)
a_						:     Any	     =		spec.loader.load_module()

def     __lowercase(	UpperCAmelCase__   ,   UpperCAmelCase__ ):


      """simple docstring"""



      return line.startswith(lowerCamelCase_ ) or len(lowerCamelCase_ ) <= 1 or re.search(r"^\s*\)(\s*->.*:|:)\s*$"   ,   lowerCamelCase_ ) is not None

def     __lowercase(	UpperCAmelCase__ ):


      """simple docstring"""



      lowerCamelCase								=		object_name.split("." )
      lowerCamelCase								=		0

      # First let's find the module where our object lives.
      lowerCamelCase								=		parts[i]
      while i < len(lowerCamelCase_ ) and not os.path.isfile(os.path.join(lowerCamelCase_   ,   F"""{module}.py""" ) ):
            i += 1
            if i < len(lowerCamelCase_ ):
                  lowerCamelCase								=		os.path.join(lowerCamelCase_   ,   parts[i] )
      if i >= len(lowerCamelCase_ ):
            raise ValueError(F"""`object_name` should begin with the name of a module of diffusers but got {object_name}.""" )

      with open(os.path.join(lowerCamelCase_   ,   F"""{module}.py""" )   ,   "r"   ,   encoding="utf-8"   ,   newline="\n" ) as f:
            lowerCamelCase								=		f.readlines()

      # Now let's find the class / func in the code!
      lowerCamelCase								=		''
      lowerCamelCase								=		0
      for name in parts[i + 1 :]:
            while (
                line_index < len(lowerCamelCase_ ) and re.search(rF"""^{indent}(class|def)\s+{name}(\(|\:)"""   ,   lines[line_index] ) is None
            ):
                  line_index += 1
            indent += "    "
            line_index += 1

      if line_index >= len(lowerCamelCase_ ):
            raise ValueError(F""" {object_name} does not match any function or class in {module}.""" )

      # We found the beginning of the class / func, now let's find the end (when the indent diminishes).
      lowerCamelCase								=		line_index
      while line_index < len(lowerCamelCase_ ) and _should_continue(lines[line_index]   ,   lowerCamelCase_ ):
            line_index += 1
      # Clean up empty lines at the end (if any).
      while len(lines[line_index - 1] ) <= 1:
            line_index -= 1

      lowerCamelCase								=		lines[start_index:line_index]
      return "".join(lowerCamelCase_ )


a_						:     str	     =		re.compile(R'^(\s*)#\s*Copied from\s+diffusers\.(\S+\.\S+)\s*($|\S.*$)')
a_						:     Optional[int]	     =		re.compile(R'^\s*(\S+)->(\S+)(\s+.*|$)')
a_						:     int	     =		re.compile(R'<FILL\s+[^>]*>')

def     __lowercase(	UpperCAmelCase__ ):


      """simple docstring"""



      lowerCamelCase								=		code.split("\n" )
      lowerCamelCase								=		0
      while idx < len(lowerCamelCase_ ) and len(lines[idx] ) == 0:
            idx += 1
      if idx < len(lowerCamelCase_ ):
            return re.search(r"^(\s*)\S"   ,   lines[idx] ).groups()[0]
      return ""

def     __lowercase(	UpperCAmelCase__ ):


      """simple docstring"""



      lowerCamelCase								=		len(get_indent(lowerCamelCase_ ) ) > 0
      if has_indent:
            lowerCamelCase								=		F"""class Bla:\n{code}"""
      lowerCamelCase								=		black.Mode(target_versions={black.TargetVersion.PYaa}   ,   line_length=119   ,   preview=lowerCamelCase_ )
      lowerCamelCase								=		black.format_str(lowerCamelCase_   ,   mode=lowerCamelCase_ )
      lowerCamelCase								=		style_docstrings_in_code(lowerCamelCase_ )
      return result[len("class Bla:\n" ) :] if has_indent else result

def     __lowercase(	UpperCAmelCase__   ,   UpperCAmelCase__=False ):


      """simple docstring"""



      with open(lowerCamelCase_   ,   "r"   ,   encoding="utf-8"   ,   newline="\n" ) as f:
            lowerCamelCase								=		f.readlines()
      lowerCamelCase								=		[]
      lowerCamelCase								=		0
      # Not a for loop cause `lines` is going to change (if `overwrite=True`).
      while line_index < len(lowerCamelCase_ ):
            lowerCamelCase								=		_re_copy_warning.search(lines[line_index] )
            if search is None:
                  line_index += 1
                  continue

            # There is some copied code here, let's retrieve the original.
            lowerCamelCase								=		search.groups()
            lowerCamelCase								=		find_code_in_diffusers(lowerCamelCase_ )
            lowerCamelCase								=		get_indent(lowerCamelCase_ )

            lowerCamelCase								=		line_index + 1 if indent == theoretical_indent else line_index + 2
            lowerCamelCase								=		theoretical_indent
            lowerCamelCase								=		start_index

            # Loop to check the observed code, stop when indentation diminishes or if we see a End copy comment.
            lowerCamelCase								=		True
            while line_index < len(lowerCamelCase_ ) and should_continue:
                  line_index += 1
                  if line_index >= len(lowerCamelCase_ ):
                        break
                  lowerCamelCase								=		lines[line_index]
                  lowerCamelCase								=		_should_continue(lowerCamelCase_   ,   lowerCamelCase_ ) and re.search(F"""^{indent}# End copy"""   ,   lowerCamelCase_ ) is None
            # Clean up empty lines at the end (if any).
            while len(lines[line_index - 1] ) <= 1:
                  line_index -= 1

            lowerCamelCase								=		lines[start_index:line_index]
            lowerCamelCase								=		''.join(lowerCamelCase_ )

            # Remove any nested `Copied from` comments to avoid circular copies
            lowerCamelCase								=		[line for line in theoretical_code.split("\n" ) if _re_copy_warning.search(lowerCamelCase_ ) is None]
            lowerCamelCase								=		'\n'.join(lowerCamelCase_ )

            # Before comparing, use the `replace_pattern` on the original code.
            if len(lowerCamelCase_ ) > 0:
                  lowerCamelCase								=		replace_pattern.replace("with"   ,   "" ).split("," )
                  lowerCamelCase								=		[_re_replace_pattern.search(lowerCamelCase_ ) for p in patterns]
                  for pattern in patterns:
                        if pattern is None:
                              continue
                        lowerCamelCase								=		pattern.groups()
                        lowerCamelCase								=		re.sub(lowerCamelCase_   ,   lowerCamelCase_   ,   lowerCamelCase_ )
                        if option.strip() == "all-casing":
                              lowerCamelCase								=		re.sub(obja.lower()   ,   obja.lower()   ,   lowerCamelCase_ )
                              lowerCamelCase								=		re.sub(obja.upper()   ,   obja.upper()   ,   lowerCamelCase_ )

            # Blackify after replacement. To be able to do that, we need the header (class or function definition)
            # from the previous line
                  lowerCamelCase								=		blackify(lines[start_index - 1] + theoretical_code )
                  lowerCamelCase								=		theoretical_code[len(lines[start_index - 1] ) :]

            # Test for a diff and act accordingly.
            if observed_code != theoretical_code:
                  diffs.append([object_name, start_index] )
                  if overwrite:
                        lowerCamelCase								=		lines[:start_index] + [theoretical_code] + lines[line_index:]
                        lowerCamelCase								=		start_index + 1

      if overwrite and len(lowerCamelCase_ ) > 0:
            # Warn the user a file has been modified.
            print(F"""Detected changes, rewriting {filename}.""" )
            with open(lowerCamelCase_   ,   "w"   ,   encoding="utf-8"   ,   newline="\n" ) as f:
                  f.writelines(lowerCamelCase_ )
      return diffs

def     __lowercase(	UpperCAmelCase__ = False ):


      """simple docstring"""



      lowerCamelCase								=		glob.glob(os.path.join(lowerCamelCase_   ,   "**/*.py" )   ,   recursive=lowerCamelCase_ )
      lowerCamelCase								=		[]
      for filename in all_files:
            lowerCamelCase								=		is_copy_consistent(lowerCamelCase_   ,   lowerCamelCase_ )
            diffs += [F"""- {filename}: copy does not match {d[0]} at line {d[1]}""" for d in new_diffs]
      if not overwrite and len(lowerCamelCase_ ) > 0:
            lowerCamelCase								=		'\n'.join(lowerCamelCase_ )
            raise Exception(
                "Found the following copy inconsistencies:\n"
                + diff
                + "\nRun `make fix-copies` or `python utils/check_copies.py --fix_and_overwrite` to fix them." )


if __name__ == "__main__":
     a_						:     List[str]	     =		argparse.ArgumentParser()
     parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
     a_						:     Tuple	     =		parser.parse_args()

     check_copies(args.fix_and_overwrite)




import unittest

import numpy as np
import torch

from diffusers import KarrasVePipeline, KarrasVeScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device


enable_full_determinism()





class    lowerCamelCase__  (						unittest.TestCase):
     """simple docstring"""



     @property
     def 						_a      (self    ):






           '''simple docstring'''



           torch.manual_seed(0    )
           lowerCamelCase								=		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    ):






           '''simple docstring'''



           lowerCamelCase								=		self.dummy_uncond_unet
           lowerCamelCase								=		KarrasVeScheduler()

           lowerCamelCase								=		KarrasVePipeline(unet=__a				,			scheduler=__a    )
           pipe.to(__a    )
           pipe.set_progress_bar_config(disable=__a    )

           lowerCamelCase								=		torch.manual_seed(0    )
           lowerCamelCase								=		pipe(num_inference_steps=2				,			generator=__a				,			output_type="numpy"    ).images

           lowerCamelCase								=		torch.manual_seed(0    )
           lowerCamelCase								=		pipe(num_inference_steps=2				,			generator=__a				,			output_type="numpy"				,			return_dict=__a    )[0]

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

           assert image.shape == (1, 32, 32, 3)
           lowerCamelCase								=		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):
     """simple docstring"""



     def 						_a      (self    ):






           '''simple docstring'''



           lowerCamelCase								=		"google/ncsnpp-celebahq-256"
           lowerCamelCase								=		UNetaDModel.from_pretrained(__a    )
           lowerCamelCase								=		KarrasVeScheduler()

           lowerCamelCase								=		KarrasVePipeline(unet=__a				,			scheduler=__a    )
           pipe.to(__a    )
           pipe.set_progress_bar_config(disable=__a    )

           lowerCamelCase								=		torch.manual_seed(0    )
           lowerCamelCase								=		pipe(num_inference_steps=20				,			generator=__a				,			output_type="numpy"    ).images

           lowerCamelCase								=		image[0, -3:, -3:, -1]
           assert image.shape == (1, 2_56, 2_56, 3)
           lowerCamelCase								=		np.array([0.578, 0.5811, 0.5924, 0.5809, 0.587, 0.5886, 0.5861, 0.5802, 0.586]    )

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