






import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List, Literal, NewType, Optional, Tuple, Union, get_type_hints

import yaml


snake_case     					=		NewType("""DataClass""", Any)
snake_case     					=		NewType("""DataClassType""", Any)


def 	lowerCamelCase__      (  lowercase					):

  """simple docstring"""






  if isinstance(lowercase    ,  lowercase					):
    return v
  if v.lower() in ("yes", "true", "t", "y", "1"):
    return True
  elif v.lower() in ("no", "false", "f", "n", "0"):
    return False
  else:
    raise ArgumentTypeError(
        F'''Truthy value expected: got {v} but expected one of yes/no, true/false, t/f, y/n, 1/0 (case insensitive).'''					)


def 	lowerCamelCase__      (  lowercase					):

  """simple docstring"""






  SCREAMING_SNAKE_CASE							:   Any						    =     {str(lowercase					): choice for choice in choices}
  return lambda lowercase					: str_to_choice.get(lowercase    ,  lowercase					)


def 	lowerCamelCase__      (  *,
    lowercase = None    ,  lowercase = None    ,  lowercase = dataclasses.MISSING    ,  lowercase = dataclasses.MISSING    ,  lowercase = None    ,  **lowercase    ,  ):

  """simple docstring"""






  if metadata is None:
    # Important, don't use as default param in function signature because dict is mutable and shared across function calls
    SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     {}
  if aliases is not None:
    SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     aliases
  if help is not None:
    SCREAMING_SNAKE_CASE							:   Tuple						    =     help

  return dataclasses.field(metadata=lowercase    ,  default=lowercase    ,  default_factory=lowercase    ,  **lowercase					)


class 			SCREAMING_SNAKE_CASE      (      lowerCAmelCase       ):
     '''simple docstring'''


     UpperCamelCase_				:		Iterable[DataClassType]


     def __init__(					self							:						Optional[int]       ,			UpperCAmelCase_							:						Union[DataClassType, Iterable[DataClassType]]       ,			**UpperCAmelCase_							:						Optional[int]   ):
       # To make the default appear when using --help
       if "formatter_class" not in kwargs:
         SCREAMING_SNAKE_CASE							:   Optional[int]						    =     ArgumentDefaultsHelpFormatter
       super().__init__(**UpperCAmelCase_   )
       if dataclasses.is_dataclass(UpperCAmelCase_   ):
         SCREAMING_SNAKE_CASE							:   List[Any]						    =     [dataclass_types]
       SCREAMING_SNAKE_CASE							:   Optional[int]						    =     list(UpperCAmelCase_   )
       for dtype in self.dataclass_types:
         self._add_dataclass_arguments(UpperCAmelCase_   )


     @staticmethod
     def 					_A							(					UpperCAmelCase_							:						ArgumentParser       ,			UpperCAmelCase_							:						dataclasses.Field   ):
       SCREAMING_SNAKE_CASE							:   Any						    =     f'''--{field.name}'''
       SCREAMING_SNAKE_CASE							:   Tuple						    =     field.metadata.copy()
       # field.metadata is not used at all by Data Classes,
       # it is provided as a third-party extension mechanism.
       if isinstance(field.type       ,			UpperCAmelCase_   ):
         raise RuntimeError(
             "Unresolved type detected, which should have been done with the help of "
             "`typing.get_type_hints` method by default"   )

       SCREAMING_SNAKE_CASE							:   List[str]						    =     kwargs.pop("aliases"       ,			[]   )
       if isinstance(UpperCAmelCase_       ,			UpperCAmelCase_   ):
         SCREAMING_SNAKE_CASE							:   str						    =     [aliases]

       SCREAMING_SNAKE_CASE							:   Dict						    =     getattr(field.type       ,			"__origin__"       ,			field.type   )
       if origin_type is Union or (hasattr(UpperCAmelCase_       ,			"UnionType"   ) and isinstance(UpperCAmelCase_       ,			types.UnionType   )):
         if str not in field.type.__args__ and (
             len(field.type.__args__   ) != 2 or type(UpperCAmelCase_   ) not in field.type.__args__
         ):
           raise ValueError(
               "Only `Union[X, NoneType]` (i.e., `Optional[X]`) is allowed for `Union` because"
               " the argument parser only supports one type per argument."
               f''' Problem encountered in field \'{field.name}\'.'''   )
         if type(UpperCAmelCase_   ) not in field.type.__args__:
           # filter `str` in Union
           SCREAMING_SNAKE_CASE							:   List[str]						    =     field.type.__args__[0] if field.type.__args__[1] == str else field.type.__args__[1]
           SCREAMING_SNAKE_CASE							:   Tuple						    =     getattr(field.type       ,			"__origin__"       ,			field.type   )
         elif bool not in field.type.__args__:
           # filter `NoneType` in Union (except for `Union[bool, NoneType]`)
           SCREAMING_SNAKE_CASE							:   Dict						    =     (
               field.type.__args__[0] if isinstance(UpperCAmelCase_       ,			field.type.__args__[1]   ) else field.type.__args__[1]
           )
           SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     getattr(field.type       ,			"__origin__"       ,			field.type   )

        # A variable to store kwargs for a boolean field, if needed
        # so that we can init a `no_*` complement argument (see below)
       SCREAMING_SNAKE_CASE							:   Dict						    =     {}
       if origin_type is Literal or (isinstance(field.type       ,			UpperCAmelCase_   ) and issubclass(field.type       ,			UpperCAmelCase_   )):
         if origin_type is Literal:
           SCREAMING_SNAKE_CASE							:   Any						    =     field.type.__args__
         else:
           SCREAMING_SNAKE_CASE							:   Union[str, Any]						    =     [x.value for x in field.type]

         SCREAMING_SNAKE_CASE							:   Tuple						    =     make_choice_type_function(kwargs["choices"]   )

         if field.default is not dataclasses.MISSING:
           SCREAMING_SNAKE_CASE							:   Any						    =     field.default
         else:
           SCREAMING_SNAKE_CASE							:   str						    =     True
       elif field.type is bool or field.type == Optional[bool]:
         # Copy the currect kwargs to use to instantiate a `no_*` complement argument below.
         # We do not initialize it here because the `no_*` alternative must be instantiated after the real argument
         SCREAMING_SNAKE_CASE							:   List[str]						    =     copy(UpperCAmelCase_   )

         # Hack because type=bool in argparse does not behave as we want.
         SCREAMING_SNAKE_CASE							:   Any						    =     string_to_bool
         if field.type is bool or (field.default is not None and field.default is not dataclasses.MISSING):
           # Default value is False if we have no default when of type bool.
           SCREAMING_SNAKE_CASE							:   str						    =     False if field.default is dataclasses.MISSING else field.default
           # This is the value that will get picked if we don't include --field_name in any way
           SCREAMING_SNAKE_CASE							:   Optional[int]						    =     default
           # This tells argparse we accept 0 or 1 value after --field_name
           SCREAMING_SNAKE_CASE							:   Tuple						    =     "?"
           # This is the value that will get picked if we do --field_name (without value)
           SCREAMING_SNAKE_CASE							:   List[Any]						    =     True
       elif isclass(UpperCAmelCase_   ) and issubclass(UpperCAmelCase_       ,			UpperCAmelCase_   ):
         SCREAMING_SNAKE_CASE							:   List[str]						    =     field.type.__args__[0]
         SCREAMING_SNAKE_CASE							:   List[str]						    =     "+"
         if field.default_factory is not dataclasses.MISSING:
           SCREAMING_SNAKE_CASE							:   Any						    =     field.default_factory()
         elif field.default is dataclasses.MISSING:
           SCREAMING_SNAKE_CASE							:   Optional[int]						    =     True
       else:
         SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     field.type
         if field.default is not dataclasses.MISSING:
           SCREAMING_SNAKE_CASE							:   str						    =     field.default
         elif field.default_factory is not dataclasses.MISSING:
           SCREAMING_SNAKE_CASE							:   Union[str, Any]						    =     field.default_factory()
         else:
           SCREAMING_SNAKE_CASE							:   Tuple						    =     True
       parser.add_argument(UpperCAmelCase_       ,			*UpperCAmelCase_       ,			**UpperCAmelCase_   )

       # Add a complement `no_*` argument for a boolean field AFTER the initial field has already been added.
       # Order is important for arguments with the same destination!
       # We use a copy of earlier kwargs because the original kwargs have changed a lot before reaching down
       # here and we do not need those changes/additional keys.
       if field.default is True and (field.type is bool or field.type == Optional[bool]):
         SCREAMING_SNAKE_CASE							:   Tuple						    =     False
         parser.add_argument(f'''--no_{field.name}'''       ,			action="store_false"       ,			dest=field.name       ,			**UpperCAmelCase_   )


     def 					_A							(					self							:						int       ,			UpperCAmelCase_							:						DataClassType   ):
       if hasattr(UpperCAmelCase_       ,			"_argument_group_name"   ):
         SCREAMING_SNAKE_CASE							:   Tuple						    =     self.add_argument_group(dtype._argument_group_name   )
       else:
         SCREAMING_SNAKE_CASE							:   Dict						    =     self

       try:
         SCREAMING_SNAKE_CASE							:   Dict[str, type]						    =     get_type_hints(UpperCAmelCase_   )
       except NameError:
         raise RuntimeError(
             f'''Type resolution failed for {dtype}. Try declaring the class in global scope or '''
             "removing line of `from __future__ import annotations` which opts in Postponed "
             "Evaluation of Annotations (PEP 563)"   )
       except TypeError as ex:
         # Remove this block when we drop Python 3.9 support
         if sys.version_info[:2] < (3, 10) and "unsupported operand type(s) for |" in str(UpperCAmelCase_   ):
           SCREAMING_SNAKE_CASE							:   Union[str, Any]						    =     ".".join(map(UpperCAmelCase_       ,			sys.version_info[:3]   )   )
           raise RuntimeError(
               f'''Type resolution failed for {dtype} on Python {python_version}. Try removing '''
               "line of `from __future__ import annotations` which opts in union types as "
               "`X | Y` (PEP 604) via Postponed Evaluation of Annotations (PEP 563). To "
               "support Python versions that lower than 3.10, you need to use "
               "`typing.Union[X, Y]` instead of `X | Y` and `typing.Optional[X]` instead of "
               "`X | None`."   ) from ex
         raise

       for field in dataclasses.fields(UpperCAmelCase_   ):
         if not field.init:
           continue
         SCREAMING_SNAKE_CASE							:   Tuple						    =     type_hints[field.name]
         self._parse_dataclass_field(UpperCAmelCase_       ,			UpperCAmelCase_   )


     def 					_A							(					self							:						List[Any]       ,			UpperCAmelCase_							:						List[str]=None       ,			UpperCAmelCase_							:						Optional[Any]=False       ,			UpperCAmelCase_							:						str=True       ,			UpperCAmelCase_							:						Any=None       ,			UpperCAmelCase_							:						str=None       ,			):

       if args_file_flag or args_filename or (look_for_args_file and len(sys.argv   )):
         SCREAMING_SNAKE_CASE							:   Tuple						    =     []

         if args_filename:
           args_files.append(Path(UpperCAmelCase_   )   )
         elif look_for_args_file and len(sys.argv   ):
           args_files.append(Path(sys.argv[0]   ).with_suffix(".args"   )   )

         # args files specified via command line flag should overwrite default args files so we add them last
         if args_file_flag:
           # Create special parser just to extract the args_file_flag values
           SCREAMING_SNAKE_CASE							:   Dict						    =     ArgumentParser()
           args_file_parser.add_argument(UpperCAmelCase_       ,			type=UpperCAmelCase_       ,			action="append"   )

           # Use only remaining args for further parsing (remove the args_file_flag)
           SCREAMING_SNAKE_CASE    ,	SCREAMING_SNAKE_CASE							:   Any						    =     args_file_parser.parse_known_args(args=UpperCAmelCase_   )
           SCREAMING_SNAKE_CASE							:   int						    =     vars(UpperCAmelCase_   ).get(args_file_flag.lstrip("-"   )       ,			UpperCAmelCase_   )

           if cmd_args_file_paths:
             args_files.extend([Path(UpperCAmelCase_   ) for p in cmd_args_file_paths]   )

         SCREAMING_SNAKE_CASE							:   Union[str, Any]						    =     []
         for args_file in args_files:
           if args_file.exists():
             file_args += args_file.read_text().split()

            # in case of duplicate arguments the last one has precedence
            # args specified via the command line should overwrite args from files, so we add them last
         SCREAMING_SNAKE_CASE							:   Any						    =     file_args + args if args is not None else file_args + sys.argv[1:]
       SCREAMING_SNAKE_CASE    ,	SCREAMING_SNAKE_CASE							:   Tuple						    =     self.parse_known_args(args=UpperCAmelCase_   )
       SCREAMING_SNAKE_CASE							:   Any						    =     []
       for dtype in self.dataclass_types:
         SCREAMING_SNAKE_CASE							:   Tuple						    =     {f.name for f in dataclasses.fields(UpperCAmelCase_   ) if f.init}
         SCREAMING_SNAKE_CASE							:   Dict						    =     {k: v for k, v in vars(UpperCAmelCase_   ).items() if k in keys}
         for k in keys:
           delattr(UpperCAmelCase_       ,			UpperCAmelCase_   )
         SCREAMING_SNAKE_CASE							:   int						    =     dtype(**UpperCAmelCase_   )
         outputs.append(UpperCAmelCase_   )
       if len(namespace.__dict__   ) > 0:
         # additional namespace.
         outputs.append(UpperCAmelCase_   )
       if return_remaining_strings:
         return (*outputs, remaining_args)
       else:
         if remaining_args:
           raise ValueError(f'''Some specified arguments are not used by the HfArgumentParser: {remaining_args}'''   )

         return (*outputs,)


     def 					_A							(					self							:						Optional[Any]       ,			UpperCAmelCase_							:						Dict[str, Any]       ,			UpperCAmelCase_							:						bool = False   ):
       SCREAMING_SNAKE_CASE							:   Tuple						    =     set(args.keys()   )
       SCREAMING_SNAKE_CASE							:   Tuple						    =     []
       for dtype in self.dataclass_types:
         SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     {f.name for f in dataclasses.fields(UpperCAmelCase_   ) if f.init}
         SCREAMING_SNAKE_CASE							:   Dict						    =     {k: v for k, v in args.items() if k in keys}
         unused_keys.difference_update(inputs.keys()   )
         SCREAMING_SNAKE_CASE							:   Tuple						    =     dtype(**UpperCAmelCase_   )
         outputs.append(UpperCAmelCase_   )
       if not allow_extra_keys and unused_keys:
         raise ValueError(f'''Some keys are not used by the HfArgumentParser: {sorted(UpperCAmelCase_   )}'''   )
       return tuple(UpperCAmelCase_   )


     def 					_A							(					self							:						Optional[int]       ,			UpperCAmelCase_							:						str       ,			UpperCAmelCase_							:						bool = False   ):
       with open(Path(UpperCAmelCase_   )       ,			encoding="utf-8"   ) as open_json_file:
         SCREAMING_SNAKE_CASE							:   Dict						    =     json.loads(open_json_file.read()   )
       SCREAMING_SNAKE_CASE							:   Dict						    =     self.parse_dict(UpperCAmelCase_       ,			allow_extra_keys=UpperCAmelCase_   )
       return tuple(UpperCAmelCase_   )






     def 					_A							(					self							:						Optional[int]       ,			UpperCAmelCase_							:						str       ,			UpperCAmelCase_							:						bool = False   ):
       SCREAMING_SNAKE_CASE							:   Any						    =     self.parse_dict(yaml.safe_load(Path(UpperCAmelCase_   ).read_text()   )       ,			allow_extra_keys=UpperCAmelCase_   )
       return tuple(UpperCAmelCase_   )














from collections.abc import Callable




class       snake_case__ :

       '''simple docstring'''



       def __init__(				self      ,    a__ = None     )			->   None:






            '''simple docstring'''





            __snake_case      :list 							=    []
            # Stores indexes of each item for supporting updates and deletion.
            __snake_case      :dict 							=    {}
            # Stores current size of heap.
            __snake_case      :List[Any] 							=    0
            # Stores function used to evaluate the score of an item on which basis ordering
            # will be done.
            __snake_case      :Optional[Any] 							=    key or (lambda a__     : x)



       def        __lowercase    (				self      ,    a__     )			->   int | None:






            '''simple docstring'''





            return int((i - 1) / 2     ) if i > 0 else None



       def        __lowercase    (				self      ,    a__     )			->   int | None:






            '''simple docstring'''





            __snake_case      :int 							=    int(2 * i + 1     )
            return left if 0 < left < self.size else None



       def        __lowercase    (				self      ,    a__     )			->   int | None:






            '''simple docstring'''





            __snake_case      :Optional[int] 							=    int(2 * i + 2     )
            return right if 0 < right < self.size else None



       def        __lowercase    (				self      ,    a__      ,    a__     )			->   None:






            '''simple docstring'''





            __snake_case							,			__snake_case      :Dict 							=    (
                self.pos_map[self.arr[j][0]],
                self.pos_map[self.arr[i][0]],
            )
            # Then swap the items in the list.
            __snake_case							,			__snake_case      :Tuple 							=    self.arr[j], self.arr[i]



       def        __lowercase    (				self      ,    a__      ,    a__     )			->   bool:






            '''simple docstring'''





            return self.arr[i][1] < self.arr[j][1]



       def        __lowercase    (				self      ,    a__     )			->   int:






            '''simple docstring'''





            __snake_case      :int 							=    self._left(a__     )
            __snake_case      :Optional[int] 							=    self._right(a__     )
            __snake_case      :List[Any] 							=    i

            if left is not None and not self._cmp(a__      ,    a__     ):
                 __snake_case      :int 							=    left
            if right is not None and not self._cmp(a__      ,    a__     ):
                 __snake_case      :Tuple 							=    right

            return valid_parent



       def        __lowercase    (				self      ,    a__     )			->   None:






            '''simple docstring'''





            __snake_case      :int 							=    self._parent(a__     )
            while parent is not None and not self._cmp(a__      ,    a__     ):
                 self._swap(a__      ,    a__     )
                 __snake_case							,			__snake_case      :str 							=    parent, self._parent(a__     )



       def        __lowercase    (				self      ,    a__     )			->   None:






            '''simple docstring'''





            __snake_case      :List[Any] 							=    self._get_valid_parent(a__     )
            while valid_parent != index:
                 self._swap(a__      ,    a__     )
                 __snake_case							,			__snake_case      :Optional[int] 							=    valid_parent, self._get_valid_parent(a__     )



       def        __lowercase    (				self      ,    a__      ,    a__     )			->   None:






            '''simple docstring'''





            if item not in self.pos_map:
                 return
            __snake_case      :List[Any] 							=    self.pos_map[item]
            __snake_case      :Optional[Any] 							=    [item, self.key(a__     )]
            # Make sure heap is right in both up and down direction.
            # Ideally only one of them will make any change.
            self._heapify_up(a__     )
            self._heapify_down(a__     )



       def        __lowercase    (				self      ,    a__     )			->   None:






            '''simple docstring'''





            if item not in self.pos_map:
                 return
            __snake_case      :Dict 							=    self.pos_map[item]
            del self.pos_map[item]
            __snake_case      :Dict 							=    self.arr[self.size - 1]
            __snake_case      :List[str] 							=    index
            self.size -= 1
            # Make sure heap is right in both up and down direction. Ideally only one
            # of them will make any change- so no performance loss in calling both.
            if self.size > index:
                 self._heapify_up(a__     )
                 self._heapify_down(a__     )



       def        __lowercase    (				self      ,    a__      ,    a__     )			->   None:






            '''simple docstring'''





            __snake_case      :Optional[int] 							=    len(self.arr     )
            if arr_len == self.size:
                 self.arr.append([item, self.key(a__     )]     )
            else:
                 __snake_case      :Optional[Any] 							=    [item, self.key(a__     )]
            __snake_case      :str 							=    self.size
            self.size += 1
            self._heapify_up(self.size - 1     )



       def        __lowercase    (				self     )			->   tuple | None:






            '''simple docstring'''





            return self.arr[0] if self.size else None



       def        __lowercase    (				self     )			->   tuple | None:






            '''simple docstring'''





            __snake_case      :Optional[Any] 							=    self.get_top()
            if top_item_tuple:
                 self.delete_item(top_item_tuple[0]     )
            return top_item_tuple






def 	UpperCamelCase	(							):




     '''simple docstring'''








if __name__ == "__main__":
     import doctest

     doctest.testmod()


