


from __future__ import annotations

from abc import abstractmethod
from collections.abc import Iterable
from typing import Generic, Protocol, TypeVar

class  UpperCamelCase__ ( __lowerCamelCase			):






      @abstractmethod
      def __lt__(     self					:   T,		__lowerCamelCase					:   T   )  -> bool:
           pass






      @abstractmethod
      def __gt__(     self					:   T,		__lowerCamelCase					:   T   )  -> bool:
           pass






      @abstractmethod
      def __eq__(     self					:   T,		__lowerCamelCase					:   object   )  -> bool:
           pass

_SCREAMING_SNAKE_CASE :					List[str]			=	TypeVar("""T""", bound=Comparable)

class  UpperCamelCase__ ( Generic[T]			):






      def __init__(     self					:   Optional[int]   )  -> None:
           UpperCamelCase__							:  list[T]								=     []
           UpperCamelCase__							:  int								=     0






      def __repr__(     self					:   Dict   )  -> str:
           return str(self.h   )






      def 	__lowercase(     self					:   List[str],		__lowerCamelCase					:   int   )  -> int | None:
           if child_idx > 0:
                return (child_idx - 1) // 2
           return None






      def 	__lowercase(     self					:   Dict,		__lowerCamelCase					:   int   )  -> int | None:
           UpperCamelCase__							:  List[str]								=     2 * parent_idx + 1
           if left_child_index < self.heap_size:
                return left_child_index
           return None






      def 	__lowercase(     self					:   Tuple,		__lowerCamelCase					:   int   )  -> int | None:
           UpperCamelCase__							:  Tuple								=     2 * parent_idx + 2
           if right_child_index < self.heap_size:
                return right_child_index
           return None






      def 	__lowercase(     self					:   str,		__lowerCamelCase					:   int   )  -> None:
           if index < self.heap_size:
                UpperCamelCase__							:  int								=     index
                UpperCamelCase__							:  List[str]								=     self.left_child_idx(__lowerCamelCase   )
                UpperCamelCase__							:  Tuple								=     self.right_child_idx(__lowerCamelCase   )
                # check which child is larger than its parent
                if left_child is not None and self.h[left_child] > self.h[violation]:
                     UpperCamelCase__							:  Any								=     left_child
                if right_child is not None and self.h[right_child] > self.h[violation]:
                     UpperCamelCase__							:  Union[str, Any]								=     right_child
                # if violation indeed exists
                if violation != index:
                     # swap to fix the violation
                     UpperCamelCase__	,UpperCamelCase__							:  Tuple								=     self.h[index], self.h[violation]
                     # fix the subsequent violation recursively if any
                     self.max_heapify(__lowerCamelCase   )






      def 	__lowercase(     self					:   Any,		__lowerCamelCase					:   Iterable[T]   )  -> None:
           UpperCamelCase__							:  int								=     list(__lowerCamelCase   )
           UpperCamelCase__							:  List[str]								=     len(self.h   )
           if self.heap_size > 1:
                # max_heapify from right to left but exclude leaves (last level)
                for i in range(self.heap_size // 2 - 1,		-1,		-1   ):
                     self.max_heapify(__lowerCamelCase   )






      def 	__lowercase(     self					:   Union[str, Any]   )  -> T:
           if self.heap_size >= 2:
                UpperCamelCase__							:  int								=     self.h[0]
                UpperCamelCase__							:  Any								=     self.h.pop(-1   )
                self.heap_size -= 1
                self.max_heapify(0   )
                return me
           elif self.heap_size == 1:
                self.heap_size -= 1
                return self.h.pop(-1   )
           else:
                raise Exception('''Empty heap'''   )






      def 	__lowercase(     self					:   int,		__lowerCamelCase					:   T   )  -> None:
           self.h.append(__lowerCamelCase   )
           UpperCamelCase__							:  Any								=     (self.heap_size - 1) // 2
           self.heap_size += 1
           while idx >= 0:
                self.max_heapify(__lowerCamelCase   )
                UpperCamelCase__							:  int								=     (idx - 1) // 2






      def 	__lowercase(     self					:   Union[str, Any]   )  -> None:
           UpperCamelCase__							:  str								=     self.heap_size
           for j in range(size - 1,		0,		-1   ):
                UpperCamelCase__	,UpperCamelCase__							:  str								=     self.h[j], self.h[0]
                self.heap_size -= 1
                self.max_heapify(0   )
           UpperCamelCase__							:  int								=     size


if __name__ == "__main__":
   import doctest

   # run doc test
   doctest.testmod()

   # demo
   for unsorted in [
       [0],
       [2],
       [3, 5],
       [5, 3],
       [5, 5],
       [0, 0, 0, 0],
       [1, 1, 1, 1],
       [2, 2, 3, 5],
       [0, 2, 2, 3, 5],
       [2, 5, 3, 0, 2, 3, 0, 3],
       [6, 1, 2, 7, 9, 3, 4, 5, 10, 8],
       [103, 9, 1, 7, 11, 15, 25, 201, 209, 107, 5],
       [-45, -2, -5],
   ]:
      print(F'unsorted array: {unsorted}')

      _SCREAMING_SNAKE_CASE :					Heap[int]			=	Heap()
      heap.build_max_heap(unsorted)
      print(F'after build heap: {heap}')

      print(F'max value: {heap.extract_max()}')
      print(F'after max value removed: {heap}')

      heap.insert(100)
      print(F'after new value 100 inserted: {heap}')

      heap.heap_sort()
      print(F'heap-sorted array: {heap}\n')








from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


_SCREAMING_SNAKE_CASE :					Tuple			=	{
    """configuration_marian""": ["""MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MarianConfig""", """MarianOnnxConfig"""],
}

try:
   if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _SCREAMING_SNAKE_CASE :					Any			=	["""MarianTokenizer"""]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _SCREAMING_SNAKE_CASE :					List[Any]			=	[
       """MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """MarianForCausalLM""",
       """MarianModel""",
       """MarianMTModel""",
       """MarianPreTrainedModel""",
   ]

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _SCREAMING_SNAKE_CASE :					Dict			=	["""TFMarianModel""", """TFMarianMTModel""", """TFMarianPreTrainedModel"""]

try:
   if not is_flax_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _SCREAMING_SNAKE_CASE :					Optional[Any]			=	["""FlaxMarianModel""", """FlaxMarianMTModel""", """FlaxMarianPreTrainedModel"""]

if TYPE_CHECKING:
   from .configuration_marian import MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP, MarianConfig, MarianOnnxConfig

   try:
      if not is_sentencepiece_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_marian import MarianTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_marian import (
          MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST,
          MarianForCausalLM,
          MarianModel,
          MarianMTModel,
          MarianPreTrainedModel,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel

   try:
      if not is_flax_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_flax_marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel

else:
   import sys

   _SCREAMING_SNAKE_CASE :					List[Any]			=	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




