


"""simple docstring"""


from __future__ import annotations

import random

# Maximum size of the population.  Bigger could be faster but is more memory expensive.
A     :   Optional[Any]			    =			2_0_0
# Number of elements selected in every generation of evolution. The selection takes
# place from best to worst of that generation and must be smaller than N_POPULATION.
A     :   Any			    =			5_0
# Probability that an element of a generation can mutate, changing one of its genes.
# This will guarantee that all genes will be used during evolution.
A     :   int			    =			0.4
# Just a seed to improve randomness required by the algorithm.
random.seed(random.randint(0, 1_0_0_0))


def _lowerCamelCase	(		_UpperCamelCase    , _UpperCamelCase      ):

			'''simple docstring'''




			__lowerCAmelCase				    =			len([g for position, g in enumerate(_UpperCamelCase      ) if g == main_target[position]]      )
			return (item, float(_UpperCamelCase      ))


def _lowerCamelCase	(		_UpperCamelCase    , _UpperCamelCase      ):

			'''simple docstring'''




			__lowerCAmelCase				    =			random.randint(0    , len(_UpperCamelCase      ) - 1      )
			__lowerCAmelCase				    =			parent_a[:random_slice] + parent_a[random_slice:]
			__lowerCAmelCase				    =			parent_a[:random_slice] + parent_a[random_slice:]
			return (child_a, child_a)


def _lowerCamelCase	(		_UpperCamelCase    , _UpperCamelCase      ):

			'''simple docstring'''




			__lowerCAmelCase				    =			list(_UpperCamelCase      )
			if random.uniform(0    , 1      ) < MUTATION_PROBABILITY:
						__lowerCAmelCase				    =			random.choice(_UpperCamelCase      )
			return "".join(_UpperCamelCase      )


def _lowerCamelCase	(		_UpperCamelCase    , _UpperCamelCase    , _UpperCamelCase    , ):

			'''simple docstring'''




			__lowerCAmelCase				    =			[]
			# Generate more children proportionally to the fitness score.
			__lowerCAmelCase				    =			int(parent_a[1] * 100      ) + 1
			__lowerCAmelCase				    =			10 if child_n >= 10 else child_n
			for _ in range(_UpperCamelCase      ):
						__lowerCAmelCase				    =			population_score[random.randint(0    , _UpperCamelCase      )][0]

						__lowerCAmelCase    ,	__lowerCAmelCase				    =			crossover(parent_a[0]    , _UpperCamelCase      )
						# Append new string to the population list.
						pop.append(mutate(_UpperCamelCase    , _UpperCamelCase      )      )
						pop.append(mutate(_UpperCamelCase    , _UpperCamelCase      )      )
			return pop


def _lowerCamelCase	(		_UpperCamelCase    , _UpperCamelCase    , _UpperCamelCase = True      ):

			'''simple docstring'''




			if N_POPULATION < N_SELECTED:
						__lowerCAmelCase				    =			f"{N_POPULATION} must be bigger than {N_SELECTED}"
						raise ValueError(_UpperCamelCase      )
			# Verify that the target contains no genes besides the ones inside genes variable.
			__lowerCAmelCase				    =			sorted({c for c in target if c not in genes}      )
			if not_in_genes_list:
						__lowerCAmelCase				    =			f"{not_in_genes_list} is not in genes list, evolution cannot converge"
						raise ValueError(_UpperCamelCase      )

			# Generate random starting population.
			__lowerCAmelCase				    =			[]
			for _ in range(_UpperCamelCase      ):
						population.append("".join([random.choice(_UpperCamelCase      ) for i in range(len(_UpperCamelCase      )      )]      )      )

			# Just some logs to know what the algorithms is doing.
			__lowerCAmelCase    ,	__lowerCAmelCase				    =			0, 0

			# This loop will end when we find a perfect match for our target.
			while True:
						generation += 1
						total_population += len(_UpperCamelCase      )

						# Random population created. Now it's time to evaluate.

						# Adding a bit of concurrency can make everything faster,
						#
						# import concurrent.futures
						# population_score: list[tuple[str, float]] = []
						# with concurrent.futures.ThreadPoolExecutor(
						#                                   max_workers=NUM_WORKERS) as executor:
						#     futures = {executor.submit(evaluate, item) for item in population}
						#     concurrent.futures.wait(futures)
						#     population_score = [item.result() for item in futures]
						#
						# but with a simple algorithm like this, it will probably be slower.
						# We just need to call evaluate for every item inside the population.
						__lowerCAmelCase				    =			[evaluate(_UpperCamelCase    , _UpperCamelCase      ) for item in population]

						# Check if there is a matching evolution.
						__lowerCAmelCase				    =			sorted(_UpperCamelCase    , key=lambda _UpperCamelCase      : x[1]    , reverse=_UpperCamelCase      )
						if population_score[0][0] == target:
									return (generation, total_population, population_score[0][0])

						# Print the best result every 10 generation.
						# Just to know that the algorithm is working.
						if debug and generation % 10 == 0:
									print(
									    f"\nGeneration: {generation}"
									    f"\nTotal Population:{total_population}"
									    f"\nBest score: {population_score[0][1]}"
									    f"\nBest string: {population_score[0][0]}"      )

						# Flush the old population, keeping some of the best evolutions.
						# Keeping this avoid regression of evolution.
						__lowerCAmelCase				    =			population[: int(N_POPULATION / 3      )]
						population.clear()
						population.extend(_UpperCamelCase      )
						# Normalize population score to be between 0 and 1.
						__lowerCAmelCase				    =			[
						    (item, score / len(_UpperCamelCase      )) for item, score in population_score
						]

						# This is selection
						for i in range(_UpperCamelCase      ):
									population.extend(select(population_score[int(_UpperCamelCase      )]    , _UpperCamelCase    , _UpperCamelCase      )      )
									# Check if the population has already reached the maximum value and if so,
									# break the cycle.  If this check is disabled, the algorithm will take
									# forever to compute large strings, but will also calculate small strings in
									# a far fewer generations.
									if len(_UpperCamelCase      ) > N_POPULATION:
												break


if __name__ == "__main__":
	A     :   Union[str, Any]			    =			(
	    "This is a genetic algorithm to evaluate, combine, evolve, and mutate a string!"
	)
	A     :   Tuple			    =			list(
	    " ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklm"
	    "nopqrstuvwxyz.,;!?+-*#@^'èéòà€ù=)(&%$£/\\"
	)
	A    ,    A    ,    A     :   List[Any]			    =			basic(target_str, genes_list)
	print(
	    f'''\nGeneration: {generation}\nTotal Population: {population}\nTarget: {target}'''
	)












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		:       List[str]			     = "src/diffusers"
a		:       str			     = "."


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






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






def 				lowerCamelCase__      (    __lowerCamelCase			:     Any		):
  __UpperCAmelCase							:	Optional[int]           =  object_name.split("""."""		)
  __UpperCAmelCase							:	List[Any]           =  0

  # First let's find the module where our object lives.
  __UpperCAmelCase							:	Optional[Any]           =  parts[i]
  while i < len(__lowerCamelCase		) and not os.path.isfile(os.path.join(__lowerCamelCase  ,		f"""{module}.py"""		)		):
    i += 1
    if i < len(__lowerCamelCase		):
      __UpperCAmelCase							:	List[str]           =  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:
    __UpperCAmelCase							:	Optional[Any]           =  f.readlines()

  # Now let's find the class / func in the code!
  __UpperCAmelCase							:	List[str]           =  """"""
  __UpperCAmelCase							:	int           =  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).
  __UpperCAmelCase							:	List[str]           =  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

  __UpperCAmelCase							:	Dict           =  lines[start_index:line_index]
  return "".join(__lowerCamelCase		)


a		:       Any			     = re.compile(r"^(\s*)#\s*Copied from\s+diffusers\.(\S+\.\S+)\s*($|\S.*$)")
a		:       Optional[int]			     = re.compile(r"^\s*(\S+)->(\S+)(\s+.*|$)")
a		:       Dict			     = re.compile(r"<FILL\s+[^>]*>")






def 				lowerCamelCase__      (    __lowerCamelCase			:     List[Any]		):
  __UpperCAmelCase							:	Optional[Any]           =  code.split("""\n"""		)
  __UpperCAmelCase							:	str           =  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 				lowerCamelCase__      (    __lowerCamelCase			:     List[str]		):
  __UpperCAmelCase							:	Tuple           =  len(get_indent(__lowerCamelCase		)		) > 0
  if has_indent:
    __UpperCAmelCase							:	Optional[Any]           =  f"""class Bla:\n{code}"""
  __UpperCAmelCase							:	Dict           =  black.Mode(target_versions={black.TargetVersion.PYaa}  ,		line_length=119  ,		preview=__lowerCamelCase		)
  __UpperCAmelCase							:	Dict           =  black.format_str(__lowerCamelCase  ,		mode=__lowerCamelCase		)
  __UpperCAmelCase      , __UpperCAmelCase							:	Any           =  style_docstrings_in_code(__lowerCamelCase		)
  return result[len("""class Bla:\n"""		) :] if has_indent else result






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

    __UpperCAmelCase							:	Tuple           =  line_index + 1 if indent == theoretical_indent else line_index + 2
    __UpperCAmelCase							:	Any           =  theoretical_indent
    __UpperCAmelCase							:	Any           =  start_index

    # Loop to check the observed code, stop when indentation diminishes or if we see a End copy comment.
    __UpperCAmelCase							:	int           =  True
    while line_index < len(__lowerCamelCase		) and should_continue:
      line_index += 1
      if line_index >= len(__lowerCamelCase		):
        break
      __UpperCAmelCase							:	List[Any]           =  lines[line_index]
      __UpperCAmelCase							:	str           =  _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

    __UpperCAmelCase							:	Optional[int]           =  lines[start_index:line_index]
    __UpperCAmelCase							:	int           =  """""".join(__lowerCamelCase		)

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

    # Before comparing, use the `replace_pattern` on the original code.
    if len(__lowerCamelCase		) > 0:
      __UpperCAmelCase							:	List[str]           =  replace_pattern.replace("""with"""  ,		""""""		).split(""","""		)
      __UpperCAmelCase							:	Any           =  [_re_replace_pattern.search(__lowerCamelCase		) for p in patterns]
      for pattern in patterns:
        if pattern is None:
          continue
        __UpperCAmelCase      , __UpperCAmelCase      , __UpperCAmelCase							:	Union[str, Any]           =  pattern.groups()
        __UpperCAmelCase							:	List[str]           =  re.sub(__lowerCamelCase  ,		__lowerCamelCase  ,		__lowerCamelCase		)
        if option.strip() == "all-casing":
          __UpperCAmelCase							:	List[Any]           =  re.sub(obja.lower()  ,		obja.lower()  ,		__lowerCamelCase		)
          __UpperCAmelCase							:	int           =  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
      __UpperCAmelCase							:	Union[str, Any]           =  blackify(lines[start_index - 1] + theoretical_code		)
      __UpperCAmelCase							:	Optional[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:
        __UpperCAmelCase							:	int           =  lines[:start_index] + [theoretical_code] + lines[line_index:]
        __UpperCAmelCase							:	Union[str, Any]           =  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 				lowerCamelCase__      (    __lowerCamelCase			:     bool = False		):
  __UpperCAmelCase							:	Tuple           =  glob.glob(os.path.join(__lowerCamelCase  ,		"""**/*.py"""		)  ,		recursive=__lowerCamelCase		)
  __UpperCAmelCase							:	Optional[int]           =  []
  for filename in all_files:
    __UpperCAmelCase							:	str           =  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:
    __UpperCAmelCase							:	Union[str, Any]           =  """\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		:       Dict			     = argparse.ArgumentParser()
       parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
       a		:       Optional[int]			     = parser.parse_args()

       check_copies(args.fix_and_overwrite)


