

from __future__ import annotations

UpperCAmelCase__ :     Union[str, Any]				    =    []






def 					__lowercase      (     _A						,    _A						,    _A			)     ->						bool:
      for i in range(len(_A			)			):
            if board[row][i] == 1:
                  return False
      for i in range(len(_A			)			):
            if board[i][column] == 1:
                  return False
      for i, j in zip(range(_A						,    -1						,    -1			)						,    range(_A						,    -1						,    -1			)			):
            if board[i][j] == 1:
                  return False
      for i, j in zip(range(_A						,    -1						,    -1			)						,    range(_A						,    len(_A			)			)			):
            if board[i][j] == 1:
                  return False
      return True






def 					__lowercase      (     _A						,    _A			)     ->						bool:
      if row >= len(_A			):
            solution.append(_A			)
            printboard(_A			)
            print()
            return True
      for i in range(len(_A			)			):
            if is_safe(_A						,    _A						,    _A			):
                  SCREAMING_SNAKE_CASE :      List[str]       =   1
                  solve(_A						,    row + 1			)
                  SCREAMING_SNAKE_CASE :      Dict       =   0
      return False






def 					__lowercase      (     _A			)     ->						None:
      for i in range(len(_A			)			):
            for j in range(len(_A			)			):
                  if board[i][j] == 1:
                        print("""Q"""						,    end=""" """			)
                  else:
                        print("""."""						,    end=""" """			)
            print()


# n=int(input("The no. of queens"))
UpperCAmelCase__ :     Any				    =    8
UpperCAmelCase__ :     Optional[int]				    =    [[0 for i in range(n)] for j in range(n)]
solve(board, 0)







print("""The total no. of solutions are :""", len(solution))







import importlib
import inspect
import json
import os
import re
import shutil
import sys
from pathlib import Path
from typing import Dict, Optional, Union
from urllib import request

from huggingface_hub import HfFolder, cached_download, hf_hub_download, model_info
from packaging import version

from .. import __version__
from . import DIFFUSERS_DYNAMIC_MODULE_NAME, HF_MODULES_CACHE, logging


UpperCAmelCase__ :     List[str]				    =    (
    """https://raw.githubusercontent.com/huggingface/diffusers/{revision}/examples/community/{pipeline}.py"""
)


UpperCAmelCase__ :     Union[str, Any]				    =    logging.get_logger(__name__)  # pylint: disable=invalid-name






def 					__lowercase      (     )     ->						List[Any]:
      SCREAMING_SNAKE_CASE :      Optional[int]       =   """https://pypi.org/pypi/diffusers/json"""
      SCREAMING_SNAKE_CASE :      Dict       =   json.loads(request.urlopen(_A			).read()			)["""releases"""].keys()
      return sorted(_A						,    key=lambda _A			: version.Version(_A			)			)






def 					__lowercase      (     )     ->						Any:
      # This function has already been executed if HF_MODULES_CACHE already is in the Python path.
      if HF_MODULES_CACHE in sys.path:
            return

      sys.path.append(_A			)
      os.makedirs(_A						,    exist_ok=_A			)
      SCREAMING_SNAKE_CASE :      Dict       =   Path(_A			) / """__init__.py"""
      if not init_path.exists():
            init_path.touch()






def 					__lowercase      (     _A			)     ->						Any:
      init_hf_modules()
      SCREAMING_SNAKE_CASE :      Any       =   Path(_A			) / name
      # If the parent module does not exist yet, recursively create it.
      if not dynamic_module_path.parent.exists():
            create_dynamic_module(dynamic_module_path.parent			)
      os.makedirs(_A						,    exist_ok=_A			)
      SCREAMING_SNAKE_CASE :      str       =   dynamic_module_path / """__init__.py"""
      if not init_path.exists():
            init_path.touch()






def 					__lowercase      (     _A			)     ->						Optional[int]:
      with open(_A						,    """r"""						,    encoding="""utf-8"""			) as f:
            SCREAMING_SNAKE_CASE :      Any       =   f.read()

      # Imports of the form `import .xxx`
      SCREAMING_SNAKE_CASE :      List[str]       =   re.findall("""^\s*import\s+\.(\S+)\s*$"""						,    _A						,    flags=re.MULTILINE			)
      # Imports of the form `from .xxx import yyy`
      relative_imports += re.findall("""^\s*from\s+\.(\S+)\s+import"""						,    _A						,    flags=re.MULTILINE			)
      # Unique-ify
      return list(set(_A			)			)






def 					__lowercase      (     _A			)     ->						Optional[Any]:
      SCREAMING_SNAKE_CASE :      Union[str, Any]       =   False
      SCREAMING_SNAKE_CASE :      List[Any]       =   [module_file]
      SCREAMING_SNAKE_CASE :      Any       =   []

      # Let's recurse through all relative imports
      while not no_change:
            SCREAMING_SNAKE_CASE :      List[str]       =   []
            for f in files_to_check:
                  new_imports.extend(get_relative_imports(_A			)			)

            SCREAMING_SNAKE_CASE :      List[str]       =   Path(_A			).parent
            SCREAMING_SNAKE_CASE :      int       =   [str(module_path / m			) for m in new_imports]
            SCREAMING_SNAKE_CASE :      int       =   [f for f in new_import_files if f not in all_relative_imports]
            SCREAMING_SNAKE_CASE :      Optional[Any]       =   [F"{f}.py" for f in new_import_files]

            SCREAMING_SNAKE_CASE :      List[Any]       =   len(_A			) == 0
            all_relative_imports.extend(_A			)

      return all_relative_imports






def 					__lowercase      (     _A			)     ->						Union[str, Any]:
      with open(_A						,    """r"""						,    encoding="""utf-8"""			) as f:
            SCREAMING_SNAKE_CASE :      List[Any]       =   f.read()

      # Imports of the form `import xxx`
      SCREAMING_SNAKE_CASE :      Any       =   re.findall("""^\s*import\s+(\S+)\s*$"""						,    _A						,    flags=re.MULTILINE			)
      # Imports of the form `from xxx import yyy`
      imports += re.findall("""^\s*from\s+(\S+)\s+import"""						,    _A						,    flags=re.MULTILINE			)
      # Only keep the top-level module
      SCREAMING_SNAKE_CASE :      List[Any]       =   [imp.split("""."""			)[0] for imp in imports if not imp.startswith("""."""			)]

      # Unique-ify and test we got them all
      SCREAMING_SNAKE_CASE :      Dict       =   list(set(_A			)			)
      SCREAMING_SNAKE_CASE :      Dict       =   []
      for imp in imports:
            try:
                  importlib.import_module(_A			)
            except ImportError:
                  missing_packages.append(_A			)

      if len(_A			) > 0:
            raise ImportError(
                """This modeling file requires the following packages that were not found in your environment: """
                F"{', '.join(_A			)}. Run `pip install {' '.join(_A			)}`"			)

      return get_relative_imports(_A			)






def 					__lowercase      (     _A						,    _A			)     ->						List[str]:
      SCREAMING_SNAKE_CASE :      int       =   module_path.replace(os.path.sep						,    """."""			)
      SCREAMING_SNAKE_CASE :      List[str]       =   importlib.import_module(_A			)

      if class_name is None:
            return find_pipeline_class(_A			)
      return getattr(_A						,    _A			)






def 					__lowercase      (     _A			)     ->						Optional[int]:
      from ..pipelines import DiffusionPipeline

      SCREAMING_SNAKE_CASE :      Tuple       =   dict(inspect.getmembers(_A						,    inspect.isclass			)			)

      SCREAMING_SNAKE_CASE :      Dict       =   None
      for cls_name, cls in cls_members.items():
            if (
                cls_name != DiffusionPipeline.__name__
                and issubclass(cls						,    _A			)
                and cls.__module__.split("""."""			)[0] != "diffusers"
            ):
                  if pipeline_class is not None:
                        raise ValueError(
                            F"Multiple classes that inherit from {DiffusionPipeline.__name__} have been found:"
                            F" {pipeline_class.__name__}, and {cls_name}. Please make sure to define only one in"
                            F" {loaded_module}."			)
                  SCREAMING_SNAKE_CASE :      List[str]       =   cls

      return pipeline_class






def 					__lowercase      (     _A						,    _A						,    _A = None						,    _A = False						,    _A = False						,    _A = None						,    _A = None						,    _A = None						,    _A = False						,    )     ->						List[str]:
      SCREAMING_SNAKE_CASE :      List[str]       =   str(_A			)

      SCREAMING_SNAKE_CASE :      List[Any]       =   os.path.join(_A						,    _A			)

      if os.path.isfile(_A			):
            SCREAMING_SNAKE_CASE :      Union[str, Any]       =   module_file_or_url
            SCREAMING_SNAKE_CASE :      Dict       =   """local"""
      elif pretrained_model_name_or_path.count("""/"""			) == 0:
            SCREAMING_SNAKE_CASE :      Tuple       =   get_diffusers_versions()
            # cut ".dev0"
            SCREAMING_SNAKE_CASE :      str       =   """v""" + """.""".join(__version__.split("""."""			)[:3]			)

            # retrieve github version that matches
            if revision is None:
                  SCREAMING_SNAKE_CASE :      Any       =   latest_version if latest_version[1:] in available_versions else """main"""
                  logger.info(F"Defaulting to latest_version: {revision}."			)
            elif revision in available_versions:
                  SCREAMING_SNAKE_CASE :      List[Any]       =   F"v{revision}"
            elif revision == "main":
                  SCREAMING_SNAKE_CASE :      Union[str, Any]       =   revision
            else:
                  raise ValueError(
                      F"`custom_revision`: {revision} does not exist. Please make sure to choose one of"
                      F" {', '.join(available_versions + ['main']			)}."			)

            # community pipeline on GitHub
            SCREAMING_SNAKE_CASE :      Tuple       =   COMMUNITY_PIPELINES_URL.format(revision=_A						,    pipeline=_A			)
            try:
                  SCREAMING_SNAKE_CASE :      str       =   cached_download(
                      _A						,    cache_dir=_A						,    force_download=_A						,    proxies=_A						,    resume_download=_A						,    local_files_only=_A						,    use_auth_token=_A						,    )
                  SCREAMING_SNAKE_CASE :      Tuple       =   """git"""
                  SCREAMING_SNAKE_CASE :      Optional[int]       =   pretrained_model_name_or_path + """.py"""
            except EnvironmentError:
                  logger.error(F"Could not locate the {module_file} inside {pretrained_model_name_or_path}."			)
                  raise
      else:
            try:
                  # Load from URL or cache if already cached
                  SCREAMING_SNAKE_CASE :      int       =   hf_hub_download(
                      _A						,    _A						,    cache_dir=_A						,    force_download=_A						,    proxies=_A						,    resume_download=_A						,    local_files_only=_A						,    use_auth_token=_A						,    )
                  SCREAMING_SNAKE_CASE :      Union[str, Any]       =   os.path.join("""local"""						,    """--""".join(pretrained_model_name_or_path.split("""/"""			)			)			)
            except EnvironmentError:
                  logger.error(F"Could not locate the {module_file} inside {pretrained_model_name_or_path}."			)
                  raise

    # Check we have all the requirements in our environment
      SCREAMING_SNAKE_CASE :      int       =   check_imports(_A			)

      # Now we move the module inside our cached dynamic modules.
      SCREAMING_SNAKE_CASE :      List[Any]       =   DIFFUSERS_DYNAMIC_MODULE_NAME + os.path.sep + submodule
      create_dynamic_module(_A			)
      SCREAMING_SNAKE_CASE :      Tuple       =   Path(_A			) / full_submodule
      if submodule == "local" or submodule == "git":
            # We always copy local files (we could hash the file to see if there was a change, and give them the name of
            # that hash, to only copy when there is a modification but it seems overkill for now).
            # The only reason we do the copy is to avoid putting too many folders in sys.path.
            shutil.copy(_A						,    submodule_path / module_file			)
            for module_needed in modules_needed:
                  SCREAMING_SNAKE_CASE :      Optional[int]       =   F"{module_needed}.py"
                  shutil.copy(os.path.join(_A						,    _A			)						,    submodule_path / module_needed			)
      else:
            # Get the commit hash
            # TODO: we will get this info in the etag soon, so retrieve it from there and not here.
            if isinstance(_A						,    _A			):
                  SCREAMING_SNAKE_CASE :      Tuple       =   use_auth_token
            elif use_auth_token is True:
                  SCREAMING_SNAKE_CASE :      str       =   HfFolder.get_token()
            else:
                  SCREAMING_SNAKE_CASE :      Optional[int]       =   None

            SCREAMING_SNAKE_CASE :      List[Any]       =   model_info(_A						,    revision=_A						,    token=_A			).sha

            # The module file will end up being placed in a subfolder with the git hash of the repo. This way we get the
            # benefit of versioning.
            SCREAMING_SNAKE_CASE :      int       =   submodule_path / commit_hash
            SCREAMING_SNAKE_CASE :      Tuple       =   full_submodule + os.path.sep + commit_hash
            create_dynamic_module(_A			)

            if not (submodule_path / module_file).exists():
                  shutil.copy(_A						,    submodule_path / module_file			)
            # Make sure we also have every file with relative
            for module_needed in modules_needed:
                  if not (submodule_path / module_needed).exists():
                        get_cached_module_file(
                            _A						,    F"{module_needed}.py"						,    cache_dir=_A						,    force_download=_A						,    resume_download=_A						,    proxies=_A						,    use_auth_token=_A						,    revision=_A						,    local_files_only=_A						,    )
      return os.path.join(_A						,    _A			)







def 					__lowercase      (     _A						,    _A						,    _A = None						,    _A = None						,    _A = False						,    _A = False						,    _A = None						,    _A = None						,    _A = None						,    _A = False						,    **_A						,    )     ->						Tuple:
      SCREAMING_SNAKE_CASE :      Dict       =   get_cached_module_file(
          _A						,    _A						,    cache_dir=_A						,    force_download=_A						,    resume_download=_A						,    proxies=_A						,    use_auth_token=_A						,    revision=_A						,    local_files_only=_A						,    )
      return get_class_in_module(_A						,    final_module.replace(""".py"""						,    """"""			)			)




