


'''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
UpperCAmelCase_		:   Any							   =		'src/diffusers'
UpperCAmelCase_		:   List[Any]							   =		'.'


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







def 			snake_case_   (  SCREAMING_SNAKE_CASE__							,      SCREAMING_SNAKE_CASE__     ):







				"""simple docstring"""





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







def 			snake_case_   (  SCREAMING_SNAKE_CASE__     ):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE :       List[Any]     		=      object_name.split("""."""     )
				_SCREAMING_SNAKE_CASE :       Tuple     		=      0

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

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

				# Now let's find the class / func in the code!
				_SCREAMING_SNAKE_CASE :       int     		=      """"""
				_SCREAMING_SNAKE_CASE :       Any     		=      0
				for name in parts[i + 1 :]:
								while (
								    line_index < len(SCREAMING_SNAKE_CASE__     ) 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(SCREAMING_SNAKE_CASE__     ):
								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).
				_SCREAMING_SNAKE_CASE :       str     		=      line_index
				while line_index < len(SCREAMING_SNAKE_CASE__     ) and _should_continue(lines[line_index]							,      SCREAMING_SNAKE_CASE__     ):
								line_index += 1
				# Clean up empty lines at the end (if any).
				while len(lines[line_index - 1]     ) <= 1:
								line_index -= 1

				_SCREAMING_SNAKE_CASE :       Tuple     		=      lines[start_index:line_index]
				return "".join(SCREAMING_SNAKE_CASE__     )


UpperCAmelCase_		:   Dict							   =		re.compile(r'^(\s*)#\s*Copied from\s+diffusers\.(\S+\.\S+)\s*($|\S.*$)')
UpperCAmelCase_		:   str							   =		re.compile(r'^\s*(\S+)->(\S+)(\s+.*|$)')
UpperCAmelCase_		:   Dict							   =		re.compile(r'<FILL\s+[^>]*>')







def 			snake_case_   (  SCREAMING_SNAKE_CASE__     ):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE :       str     		=      code.split("""\n"""     )
				_SCREAMING_SNAKE_CASE :       Dict     		=      0
				while idx < len(SCREAMING_SNAKE_CASE__     ) and len(lines[idx]     ) == 0:
								idx += 1
				if idx < len(SCREAMING_SNAKE_CASE__     ):
								return re.search(R"""^(\s*)\S"""							,      lines[idx]     ).groups()[0]
				return ""







def 			snake_case_   (  SCREAMING_SNAKE_CASE__     ):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      len(get_indent(SCREAMING_SNAKE_CASE__     )     ) > 0
				if has_indent:
								_SCREAMING_SNAKE_CASE :       List[Any]     		=      f"""class Bla:\n{code}"""
				_SCREAMING_SNAKE_CASE :       str     		=      black.Mode(target_versions={black.TargetVersion.PYaa}							,      line_length=119							,      preview=SCREAMING_SNAKE_CASE__     )
				_SCREAMING_SNAKE_CASE :       Tuple     		=      black.format_str(SCREAMING_SNAKE_CASE__							,      mode=SCREAMING_SNAKE_CASE__     )
				_SCREAMING_SNAKE_CASE		,       _SCREAMING_SNAKE_CASE :       int     		=      style_docstrings_in_code(SCREAMING_SNAKE_CASE__     )
				return result[len("""class Bla:\n"""     ) :] if has_indent else result







def 			snake_case_   (  SCREAMING_SNAKE_CASE__							,      SCREAMING_SNAKE_CASE__=False     ):







				"""simple docstring"""





				with open(SCREAMING_SNAKE_CASE__							,      """r"""							,      encoding="""utf-8"""							,      newline="""\n"""     ) as f:
								_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      f.readlines()
				_SCREAMING_SNAKE_CASE :       Tuple     		=      []
				_SCREAMING_SNAKE_CASE :       Dict     		=      0
				# Not a for loop cause `lines` is going to change (if `overwrite=True`).
				while line_index < len(SCREAMING_SNAKE_CASE__     ):
								_SCREAMING_SNAKE_CASE :       List[str]     		=      _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.
								_SCREAMING_SNAKE_CASE		,       _SCREAMING_SNAKE_CASE		,       _SCREAMING_SNAKE_CASE :       List[Any]     		=      search.groups()
								_SCREAMING_SNAKE_CASE :       List[Any]     		=      find_code_in_diffusers(SCREAMING_SNAKE_CASE__     )
								_SCREAMING_SNAKE_CASE :       List[Any]     		=      get_indent(SCREAMING_SNAKE_CASE__     )

								_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      line_index + 1 if indent == theoretical_indent else line_index + 2
								_SCREAMING_SNAKE_CASE :       List[str]     		=      theoretical_indent
								_SCREAMING_SNAKE_CASE :       List[str]     		=      start_index

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

								_SCREAMING_SNAKE_CASE :       List[Any]     		=      lines[start_index:line_index]
								_SCREAMING_SNAKE_CASE :       str     		=      """""".join(SCREAMING_SNAKE_CASE__     )

								# Remove any nested `Copied from` comments to avoid circular copies
								_SCREAMING_SNAKE_CASE :       Optional[int]     		=      [line for line in theoretical_code.split("""\n"""     ) if _re_copy_warning.search(SCREAMING_SNAKE_CASE__     ) is None]
								_SCREAMING_SNAKE_CASE :       Tuple     		=      """\n""".join(SCREAMING_SNAKE_CASE__     )

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

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

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







def 			snake_case_   (  SCREAMING_SNAKE_CASE__ = False     ):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE :       Tuple     		=      glob.glob(os.path.join(SCREAMING_SNAKE_CASE__							,      """**/*.py"""     )							,      recursive=SCREAMING_SNAKE_CASE__     )
				_SCREAMING_SNAKE_CASE :       str     		=      []
				for filename in all_files:
								_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      is_copy_consistent(SCREAMING_SNAKE_CASE__							,      SCREAMING_SNAKE_CASE__     )
								diffs += [f"""- {filename}: copy does not match {d[0]} at line {d[1]}""" for d in new_diffs]
				if not overwrite and len(SCREAMING_SNAKE_CASE__     ) > 0:
								_SCREAMING_SNAKE_CASE :       str     		=      """\n""".join(SCREAMING_SNAKE_CASE__     )
								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__":
				UpperCAmelCase_		:   Optional[int]							   =		argparse.ArgumentParser()
				parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
				UpperCAmelCase_		:   str							   =		parser.parse_args()

				check_copies(args.fix_and_overwrite)








'''simple docstring'''


from typing import Dict

import numpy as np
import torch

from . import residue_constants as rc
from .tensor_utils import tensor_tree_map, tree_map







def 			snake_case_   (  SCREAMING_SNAKE_CASE__     ):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE :       Tuple     		=      []
				_SCREAMING_SNAKE_CASE :       Dict     		=      []
				_SCREAMING_SNAKE_CASE :       str     		=      []

				for rt in rc.restypes:
								_SCREAMING_SNAKE_CASE :       Optional[int]     		=      rc.restype_name_to_atomaa_names[rc.restype_atoa[rt]]
								restype_atomaa_to_atomaa_list.append([(rc.atom_order[name] if name else 0) for name in atom_names]     )
								_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      {name: i for i, name in enumerate(SCREAMING_SNAKE_CASE__     )}
								restype_atomaa_to_atomaa_list.append(
								    [(atom_name_to_idxaa[name] if name in atom_name_to_idxaa else 0) for name in rc.atom_types]     )

								restype_atomaa_mask_list.append([(1.0 if name else 0.0) for name in atom_names]     )

				# Add dummy mapping for restype 'UNK'
				restype_atomaa_to_atomaa_list.append([0] * 14     )
				restype_atomaa_to_atomaa_list.append([0] * 37     )
				restype_atomaa_mask_list.append([0.0] * 14     )

				_SCREAMING_SNAKE_CASE :       Dict     		=      torch.tensor(
				    SCREAMING_SNAKE_CASE__							,      dtype=torch.intaa							,      device=protein["""aatype"""].device							,      )
				_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      torch.tensor(
				    SCREAMING_SNAKE_CASE__							,      dtype=torch.intaa							,      device=protein["""aatype"""].device							,      )
				_SCREAMING_SNAKE_CASE :       str     		=      torch.tensor(
				    SCREAMING_SNAKE_CASE__							,      dtype=torch.floataa							,      device=protein["""aatype"""].device							,      )
				_SCREAMING_SNAKE_CASE :       int     		=      protein["""aatype"""].to(torch.long     )

				# create the mapping for (residx, atom14) --> atom37, i.e. an array
				# with shape (num_res, 14) containing the atom37 indices for this protein
				_SCREAMING_SNAKE_CASE :       List[str]     		=      restype_atomaa_to_atomaa[protein_aatype]
				_SCREAMING_SNAKE_CASE :       str     		=      restype_atomaa_mask[protein_aatype]

				_SCREAMING_SNAKE_CASE :       List[Any]     		=      residx_atomaa_mask
				_SCREAMING_SNAKE_CASE :       List[str]     		=      residx_atomaa_to_atomaa.long()

				# create the gather indices for mapping back
				_SCREAMING_SNAKE_CASE :       int     		=      restype_atomaa_to_atomaa[protein_aatype]
				_SCREAMING_SNAKE_CASE :       Dict     		=      residx_atomaa_to_atomaa.long()

				# create the corresponding mask
				_SCREAMING_SNAKE_CASE :       str     		=      torch.zeros([21, 37]							,      dtype=torch.floataa							,      device=protein["""aatype"""].device     )
				for restype, restype_letter in enumerate(rc.restypes     ):
								_SCREAMING_SNAKE_CASE :       int     		=      rc.restype_atoa[restype_letter]
								_SCREAMING_SNAKE_CASE :       Dict     		=      rc.residue_atoms[restype_name]
								for atom_name in atom_names:
												_SCREAMING_SNAKE_CASE :       List[Any]     		=      rc.atom_order[atom_name]
												_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      1

				_SCREAMING_SNAKE_CASE :       int     		=      restype_atomaa_mask[protein_aatype]
				_SCREAMING_SNAKE_CASE :       int     		=      residx_atomaa_mask

				return protein







def 			snake_case_   (  SCREAMING_SNAKE_CASE__     ):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      tree_map(lambda SCREAMING_SNAKE_CASE__     : torch.tensor(SCREAMING_SNAKE_CASE__							,      device=batch["""aatype"""].device     )							,      SCREAMING_SNAKE_CASE__							,      np.ndarray     )
				_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      tensor_tree_map(lambda SCREAMING_SNAKE_CASE__     : np.array(SCREAMING_SNAKE_CASE__     )							,      make_atomaa_masks(SCREAMING_SNAKE_CASE__     )     )
				return out




