




"""simple docstring"""

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


a         =      (
    '''https://raw.githubusercontent.com/huggingface/diffusers/{revision}/examples/community/{pipeline}.py'''
)


a         =      logging.get_logger(__name__)  # pylint: disable=invalid-name






def 						_snake_case					( )   -> List[str]:






      '''simple docstring'''


      _A        =       'https://pypi.org/pypi/diffusers/json'
      _A        =       json.loads(request.urlopen(_snake_case							).read()							)['releases'].keys()
      return sorted(_snake_case    ,  key=lambda _snake_case							: version.Version(_snake_case							)							)






def 						_snake_case					( )   -> Any:






      '''simple docstring'''


      if HF_MODULES_CACHE in sys.path:
            return

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






def 						_snake_case					( _snake_case							: Union[str, os.PathLike]							)   -> int:






      '''simple docstring'''


      init_hf_modules()
      _A        =       Path(_snake_case							) / 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(_snake_case    ,  exist_ok=_snake_case							)
      _A        =       dynamic_module_path / '__init__.py'
      if not init_path.exists():
            init_path.touch()






def 						_snake_case					( _snake_case							: Tuple							)   -> Dict:






      '''simple docstring'''


      with open(_snake_case    ,  'r'    ,  encoding='utf-8'							) as f:
            _A        =       f.read()

      # Imports of the form `import .xxx`
      _A        =       re.findall('^\s*import\s+\.(\S+)\s*$'    ,  _snake_case    ,  flags=re.MULTILINE							)
      # Imports of the form `from .xxx import yyy`
      relative_imports += re.findall('^\s*from\s+\.(\S+)\s+import'    ,  _snake_case    ,  flags=re.MULTILINE							)
      # Unique-ify
      return list(set(_snake_case							)							)






def 						_snake_case					( _snake_case							: Union[str, Any]							)   -> Tuple:






      '''simple docstring'''


      _A        =       False
      _A        =       [module_file]
      _A        =       []

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

            _A        =       Path(_snake_case							).parent
            _A        =       [str(module_path / m							) for m in new_imports]
            _A        =       [f for f in new_import_files if f not in all_relative_imports]
            _A        =       [F'''{f}.py''' for f in new_import_files]

            _A        =       len(_snake_case							) == 0
            all_relative_imports.extend(_snake_case							)

      return all_relative_imports






def 						_snake_case					( _snake_case							: List[Any]							)   -> Tuple:






      '''simple docstring'''


      with open(_snake_case    ,  'r'    ,  encoding='utf-8'							) as f:
            _A        =       f.read()

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

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

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

      return get_relative_imports(_snake_case							)






def 						_snake_case					( _snake_case							: Tuple    ,  _snake_case							: Tuple							)   -> Optional[int]:






      '''simple docstring'''


      _A        =       module_path.replace(os.path.sep    ,  '.'							)
      _A        =       importlib.import_module(_snake_case							)

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






def 						_snake_case					( _snake_case							: int							)   -> int:






      '''simple docstring'''


      from ..pipelines import DiffusionPipeline

      _A        =       dict(inspect.getmembers(_snake_case    ,  inspect.isclass							)							)

      _A        =       None
      for cls_name, cls in cls_members.items():
            if (
                cls_name != DiffusionPipeline.__name__
                and issubclass(cls    ,  _snake_case							)
                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}.'''							)
                  _A        =       cls

      return pipeline_class






def 						_snake_case					( _snake_case							: Union[str, os.PathLike]    ,  _snake_case							: str    ,  _snake_case							: Optional[Union[str, os.PathLike]] = None    ,  _snake_case							: bool = False    ,  _snake_case							: bool = False    ,  _snake_case							: Optional[Dict[str, str]] = None    ,  _snake_case							: Optional[Union[bool, str]] = None    ,  _snake_case							: Optional[str] = None    ,  _snake_case							: bool = False    ,  )   -> Optional[Any]:






      '''simple docstring'''


      _A        =       str(_snake_case							)

      _A        =       os.path.join(_snake_case    ,  _snake_case							)

      if os.path.isfile(_snake_case							):
            _A        =       module_file_or_url
            _A        =       'local'
      elif pretrained_model_name_or_path.count('/'							) == 0:
            _A        =       get_diffusers_versions()
            # cut ".dev0"
            _A        =       'v' + '.'.join(__version__.split('.'							)[:3]							)

            # retrieve github version that matches
            if revision is None:
                  _A        =       latest_version if latest_version[1:] in available_versions else 'main'
                  logger.info(F'''Defaulting to latest_version: {revision}.'''							)
            elif revision in available_versions:
                  _A        =       F'''v{revision}'''
            elif revision == "main":
                  _A        =       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
            _A        =       COMMUNITY_PIPELINES_URL.format(revision=_snake_case    ,  pipeline=_snake_case							)
            try:
                  _A        =       cached_download(
                      _snake_case    ,  cache_dir=_snake_case    ,  force_download=_snake_case    ,  proxies=_snake_case    ,  resume_download=_snake_case    ,  local_files_only=_snake_case    ,  use_auth_token=_snake_case    ,  )
                  _A        =       'git'
                  _A        =       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
                  _A        =       hf_hub_download(
                      _snake_case    ,  _snake_case    ,  cache_dir=_snake_case    ,  force_download=_snake_case    ,  proxies=_snake_case    ,  resume_download=_snake_case    ,  local_files_only=_snake_case    ,  use_auth_token=_snake_case    ,  )
                  _A        =       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
      _A        =       check_imports(_snake_case							)

      # Now we move the module inside our cached dynamic modules.
      _A        =       DIFFUSERS_DYNAMIC_MODULE_NAME + os.path.sep + submodule
      create_dynamic_module(_snake_case							)
      _A        =       Path(_snake_case							) / 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(_snake_case    ,  submodule_path / module_file							)
            for module_needed in modules_needed:
                  _A        =       F'''{module_needed}.py'''
                  shutil.copy(os.path.join(_snake_case    ,  _snake_case							)    ,  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(_snake_case    ,  _snake_case							):
                  _A        =       use_auth_token
            elif use_auth_token is True:
                  _A        =       HfFolder.get_token()
            else:
                  _A        =       None

            _A        =       model_info(_snake_case    ,  revision=_snake_case    ,  token=_snake_case							).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.
            _A        =       submodule_path / commit_hash
            _A        =       full_submodule + os.path.sep + commit_hash
            create_dynamic_module(_snake_case							)

            if not (submodule_path / module_file).exists():
                  shutil.copy(_snake_case    ,  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(
                            _snake_case    ,  F'''{module_needed}.py'''    ,  cache_dir=_snake_case    ,  force_download=_snake_case    ,  resume_download=_snake_case    ,  proxies=_snake_case    ,  use_auth_token=_snake_case    ,  revision=_snake_case    ,  local_files_only=_snake_case    ,  )
      return os.path.join(_snake_case    ,  _snake_case							)







def 						_snake_case					( _snake_case							: Union[str, os.PathLike]    ,  _snake_case							: str    ,  _snake_case							: Optional[str] = None    ,  _snake_case							: Optional[Union[str, os.PathLike]] = None    ,  _snake_case							: bool = False    ,  _snake_case							: bool = False    ,  _snake_case							: Optional[Dict[str, str]] = None    ,  _snake_case							: Optional[Union[bool, str]] = None    ,  _snake_case							: Optional[str] = None    ,  _snake_case							: bool = False    ,  **_snake_case							: Any    ,  )   -> Optional[Any]:






      '''simple docstring'''


      _A        =       get_cached_module_file(
          _snake_case    ,  _snake_case    ,  cache_dir=_snake_case    ,  force_download=_snake_case    ,  resume_download=_snake_case    ,  proxies=_snake_case    ,  use_auth_token=_snake_case    ,  revision=_snake_case    ,  local_files_only=_snake_case    ,  )
      return get_class_in_module(_snake_case    ,  final_module.replace('.py'    ,  ''							)							)







"""simple docstring"""

from collections import deque





class     lowercase_	:



 '''simple docstring'''

 def __init__(			self	:	int   ,							_UpperCAmelCase	:	str   ,							_UpperCAmelCase	:	int   ,							_UpperCAmelCase	:	int		):
       _A        =       process_name  # process name
       _A        =       arrival_time  # arrival time of the process
       # completion time of finished process or last interrupted time
       _A        =       arrival_time
       _A        =       burst_time  # remaining burst time
       _A        =       0  # total time of the process wait in ready queue
       _A        =       0  # time from arrival time to completion time





class     lowercase_	:



 '''simple docstring'''

 def __init__(			self	:	Optional[Any]   ,							_UpperCAmelCase	:	int   ,							_UpperCAmelCase	:	list[int]   ,							_UpperCAmelCase	:	deque[Process]   ,							_UpperCAmelCase	:	int   ,							):
       # total number of mlfq's queues
       _A        =       number_of_queues
       # time slice of queues that round robin algorithm applied
       _A        =       time_slices
       # unfinished process is in this ready_queue
       _A        =       queue
       # current time
       _A        =       current_time
       # finished process is in this sequence queue
       _A        =       deque()

 def       lowerCAmelCase_							(			self	:	Dict		):
       _A        =       []
       for i in range(len(self.finish_queue		)		):
             sequence.append(self.finish_queue[i].process_name		)
       return sequence

 def       lowerCAmelCase_							(			self	:	Optional[int]   ,							_UpperCAmelCase	:	list[Process]		):
       _A        =       []
       for i in range(len(_UpperCAmelCase		)		):
             waiting_times.append(queue[i].waiting_time		)
       return waiting_times

 def       lowerCAmelCase_							(			self	:	Dict   ,							_UpperCAmelCase	:	list[Process]		):
       _A        =       []
       for i in range(len(_UpperCAmelCase		)		):
             turnaround_times.append(queue[i].turnaround_time		)
       return turnaround_times

 def       lowerCAmelCase_							(			self	:	Optional[int]   ,							_UpperCAmelCase	:	list[Process]		):
       _A        =       []
       for i in range(len(_UpperCAmelCase		)		):
             completion_times.append(queue[i].stop_time		)
       return completion_times

 def       lowerCAmelCase_							(			self	:	Dict   ,							_UpperCAmelCase	:	deque[Process]		):
       return [q.burst_time for q in queue]

 def       lowerCAmelCase_							(			self	:	Dict   ,							_UpperCAmelCase	:	Process		):
       process.waiting_time += self.current_time - process.stop_time
       return process.waiting_time

 def       lowerCAmelCase_							(			self	:	int   ,							_UpperCAmelCase	:	deque[Process]		):
       _A        =       deque()  # sequence deque of finished process
       while len(_UpperCAmelCase		) != 0:
             _A        =       ready_queue.popleft()  # current process

             # if process's arrival time is later than current time, update current time
             if self.current_time < cp.arrival_time:
                   self.current_time += cp.arrival_time

             # update waiting time of current process
             self.update_waiting_time(_UpperCAmelCase		)
             # update current time
             self.current_time += cp.burst_time
             # finish the process and set the process's burst-time 0
             _A        =       0
             # set the process's turnaround time because it is finished
             _A        =       self.current_time - cp.arrival_time
             # set the completion time
             _A        =       self.current_time
             # add the process to queue that has finished queue
             finished.append(_UpperCAmelCase		)

       self.finish_queue.extend(_UpperCAmelCase		)  # add finished process to finish queue
       # FCFS will finish all remaining processes
       return finished

 def       lowerCAmelCase_							(			self	:	Dict   ,							_UpperCAmelCase	:	deque[Process]   ,							_UpperCAmelCase	:	int		):
       _A        =       deque()  # sequence deque of terminated process
       # just for 1 cycle and unfinished processes will go back to queue
       for _ in range(len(_UpperCAmelCase		)		):
             _A        =       ready_queue.popleft()  # current process

             # if process's arrival time is later than current time, update current time
             if self.current_time < cp.arrival_time:
                   self.current_time += cp.arrival_time

             # update waiting time of unfinished processes
             self.update_waiting_time(_UpperCAmelCase		)
             # if the burst time of process is bigger than time-slice
             if cp.burst_time > time_slice:
                   # use CPU for only time-slice
                   self.current_time += time_slice
                   # update remaining burst time
                   cp.burst_time -= time_slice
                   # update end point time
                   _A        =       self.current_time
                   # locate the process behind the queue because it is not finished
                   ready_queue.append(_UpperCAmelCase		)
             else:
                   # use CPU for remaining burst time
                   self.current_time += cp.burst_time
                   # set burst time 0 because the process is finished
                   _A        =       0
                   # set the finish time
                   _A        =       self.current_time
                   # update the process' turnaround time because it is finished
                   _A        =       self.current_time - cp.arrival_time
                   # add the process to queue that has finished queue
                   finished.append(_UpperCAmelCase		)

       self.finish_queue.extend(_UpperCAmelCase		)  # add finished process to finish queue
       # return finished processes queue and remaining processes queue
       return finished, ready_queue



 def       lowerCAmelCase_							(			self	:	str		):

       #  all queues except last one have round_robin algorithm
       for i in range(self.number_of_queues - 1		):
             _A       ,   _A        =       self.round_robin(
                 self.ready_queue   ,							self.time_slices[i]		)
       #  the last queue has first_come_first_served algorithm
       self.first_come_first_served(self.ready_queue		)

       return self.finish_queue


if __name__ == "__main__":
       import doctest

       a         =      Process('''P1''', 0, 53)
       a         =      Process('''P2''', 0, 17)
       a         =      Process('''P3''', 0, 68)
       a         =      Process('''P4''', 0, 24)
       a         =      3
       a         =      [17, 25]
       a         =      deque([Pa, Pa, Pa, Pa])

       if len(time_slices) != number_of_queues - 1:
              raise SystemExit(0)

       doctest.testmod(extraglobs={'''queue''': deque([Pa, Pa, Pa, Pa])})

       a         =      Process('''P1''', 0, 53)
       a         =      Process('''P2''', 0, 17)
       a         =      Process('''P3''', 0, 68)
       a         =      Process('''P4''', 0, 24)
       a         =      3
       a         =      [17, 25]
       a         =      deque([Pa, Pa, Pa, Pa])
       a         =      MLFQ(number_of_queues, time_slices, queue, 0)
       a         =      mlfq.multi_level_feedback_queue()

       # print total waiting times of processes(P1, P2, P3, P4)
       print(
           F'''waiting time:\
        \t\t\t{MLFQ.calculate_waiting_time(mlfq, [Pa, Pa, Pa, Pa])}'''
       )
       # print completion times of processes(P1, P2, P3, P4)
       print(
           F'''completion time:\
        \t\t{MLFQ.calculate_completion_time(mlfq, [Pa, Pa, Pa, Pa])}'''
       )
       # print total turnaround times of processes(P1, P2, P3, P4)
       print(
           F'''turnaround time:\
        \t\t{MLFQ.calculate_turnaround_time(mlfq, [Pa, Pa, Pa, Pa])}'''
       )
       # print sequence of finished processes
       print(
           F'''sequence of finished processes:\
        {mlfq.calculate_sequence_of_finish_queue()}'''
       )

