






'''simple docstring'''






import copy
import importlib.metadata
import json
import os
from dataclasses import dataclass
from typing import Any, Dict, Union

from packaging import version

from ..utils import is_torch_available, logging


if is_torch_available():
      import torch


__A    	=   logging.get_logger(__name__)




@dataclass
class a_    :







   def __init__(self					,   __a=False					,   __a=False					,   __a=6.0					,   __a=None					,   __a=False					,   __a=False					,   __a=None					,   __a="fp4"					,   __a=False					,   **__a					,   )			->      Optional[Any]:
      """simple docstring"""






      __snake_case				:      Union[str, Any]     							= load_in_abit
      __snake_case				:      Union[str, Any]     							= load_in_abit
      __snake_case				:      int     							= llm_inta_threshold
      __snake_case				:      Union[str, Any]     							= llm_inta_skip_modules
      __snake_case				:      Union[str, Any]     							= llm_inta_enable_fpaa_cpu_offload
      __snake_case				:      Optional[Any]     							= llm_inta_has_fpaa_weight
      __snake_case				:      int     							= bnb_abit_quant_type
      __snake_case				:      Any     							= bnb_abit_use_double_quant

      if bnb_abit_compute_dtype is None:
         __snake_case				:      List[Any]     							= torch.floataa
      elif isinstance(__a					,   __a):
         __snake_case				:      Optional[Any]     							= getattr(__a					,   __a)
      elif isinstance(__a					,   torch.dtype):
         __snake_case				:      Tuple     							= bnb_abit_compute_dtype
      else:
         raise ValueError('bnb_4bit_compute_dtype must be a string or a torch.dtype')

      self.post_init()







   def     SCREAMING_SNAKE_CASE__					(self)			->      Dict:
      """simple docstring"""






      if not isinstance(self.llm_inta_threshold					,   __a):
         raise ValueError('llm_int8_threshold must be a float')

      if self.llm_inta_skip_modules is not None and not isinstance(self.llm_inta_skip_modules					,   __a):
         raise ValueError('llm_int8_skip_modules must be a list of strings')
      if not isinstance(self.llm_inta_enable_fpaa_cpu_offload					,   __a):
         raise ValueError('llm_int8_enable_fp32_cpu_offload must be a boolean')

      if not isinstance(self.llm_inta_has_fpaa_weight					,   __a):
         raise ValueError('llm_int8_has_fp16_weight must be a boolean')

      if self.bnb_abit_compute_dtype is not None and not isinstance(self.bnb_abit_compute_dtype					,   torch.dtype):
         raise ValueError('bnb_4bit_compute_dtype must be torch.dtype')

      if not isinstance(self.bnb_abit_quant_type					,   __a):
         raise ValueError('bnb_4bit_quant_type must be a string')

      if not isinstance(self.bnb_abit_use_double_quant					,   __a):
         raise ValueError('bnb_4bit_use_double_quant must be a boolean')

      if self.load_in_abit and not version.parse(importlib.metadata.version('bitsandbytes')) >= version.parse(
          '0.39.0'):
         raise ValueError(
             '4 bit quantization requires bitsandbytes>=0.39.0 - please upgrade your bitsandbytes version')







   def     SCREAMING_SNAKE_CASE__					(self)			->      List[str]:
      """simple docstring"""






      return self.load_in_abit or self.load_in_abit







   def     SCREAMING_SNAKE_CASE__					(self)			->      str:
      """simple docstring"""






      if self.load_in_abit:
         return "llm_int8"
      elif self.load_in_abit and self.bnb_abit_quant_type == "fp4":
         return "fp4"
      elif self.load_in_abit and self.bnb_abit_quant_type == "nf4":
         return "nf4"
      else:
         return None







   @classmethod
   def     SCREAMING_SNAKE_CASE__					(cls					,   __a					,   __a					,   **__a)			->      Any:
      """simple docstring"""






      __snake_case				:      Any     							= cls(**__a)

      __snake_case				:      Dict     							= []
      for key, value in kwargs.items():
         if hasattr(__a					,   __a):
            setattr(__a					,   __a					,   __a)
            to_remove.append(__a)
      for key in to_remove:
         kwargs.pop(__a					,   __a)

      if return_unused_kwargs:
         return config, kwargs
      else:
         return config







   def     SCREAMING_SNAKE_CASE__					(self					,   __a)			->      Optional[Any]:
      """simple docstring"""






      with open(__a					,   'w'					,   encoding='utf-8') as writer:
         __snake_case				:      Dict     							= self.to_dict()
         __snake_case				:      int     							= json.dumps(__a					,   indent=2					,   sort_keys=__a) + '\n'

         writer.write(__a)







   def     SCREAMING_SNAKE_CASE__					(self)			->      Dict[str, Any]:
      """simple docstring"""






      __snake_case				:      Any     							= copy.deepcopy(self.__dict__)
      __snake_case				:      Tuple     							= str(output['bnb_4bit_compute_dtype']).split('.')[1]

      return output







   def __repr__(self)			->      List[str]:
      """simple docstring"""






      return F"""{self.__class__.__name__} {self.to_json_string()}"""







   def     SCREAMING_SNAKE_CASE__					(self					,   __a = True)			->      str:
      """simple docstring"""






      if use_diff is True:
         __snake_case				:      Optional[int]     							= self.to_diff_dict()
      else:
         __snake_case				:      Dict     							= self.to_dict()
      return json.dumps(__a					,   indent=2					,   sort_keys=__a) + "\n"







   def     SCREAMING_SNAKE_CASE__					(self)			->      Dict[str, Any]:
      """simple docstring"""






      __snake_case				:      List[Any]     							= self.to_dict()

      # get the default config dict
      __snake_case				:      Dict     							= BitsAndBytesConfig().to_dict()

      __snake_case				:      Tuple     							= {}

      # only serialize values that differ from the default config
      for key, value in config_dict.items():
         if value != default_config_dict[key]:
            __snake_case				:      Any     							= value

      return serializable_config_dict







'''simple docstring'''






from __future__ import annotations

from collections import deque
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Any




@dataclass
class a_    :
   _snake_case        =							42
   _snake_case        =							None
   _snake_case        =							None




def        _SCREAMING_SNAKE_CASE  (				)    -> Node | None:







   """simple docstring"""
   __snake_case				:      str     							= Node(1  )
   __snake_case				:      Tuple     							= Node(2  )
   __snake_case				:      Optional[int]     							= Node(3  )
   __snake_case				:      List[str]     							= Node(4  )
   __snake_case				:      List[str]     							= Node(5  )
   return tree




def        _SCREAMING_SNAKE_CASE  (				A  :       Node | None  )    -> list[int]:







   """simple docstring"""
   return [root.data, *preorder(root.left  ), *preorder(root.right  )] if root else []




def        _SCREAMING_SNAKE_CASE  (				A  :       Node | None  )    -> list[int]:







   """simple docstring"""
   return postorder(root.left  ) + postorder(root.right  ) + [root.data] if root else []




def        _SCREAMING_SNAKE_CASE  (				A  :       Node | None  )    -> list[int]:







   """simple docstring"""
   return [*inorder(root.left  ), root.data, *inorder(root.right  )] if root else []




def        _SCREAMING_SNAKE_CASE  (				A  :       Node | None  )    -> int:







   """simple docstring"""
   return (max(height(root.left  )  ,		height(root.right  )  ) + 1) if root else 0




def        _SCREAMING_SNAKE_CASE  (				A  :       Node | None  )    -> Sequence[Node | None]:







   """simple docstring"""
   __snake_case				:      list[Any]     							= []

   if root is None:
      return output

   __snake_case				:      Optional[int]     							= deque([root]  )

   while process_queue:
      __snake_case				:      List[str]     							= process_queue.popleft()
      output.append(node.data  )

      if node.left:
         process_queue.append(node.left  )
      if node.right:
         process_queue.append(node.right  )
   return output




def        _SCREAMING_SNAKE_CASE  (				A  :       Node | None  ,		A  :       int  )    -> Sequence[Node | None]:







   """simple docstring"""
   __snake_case				:      list[Any]     							= []

   def populate_output(A  :       Node | None  ,		A  :       int  ) -> None:
      if not root:
         return
      if level == 1:
         output.append(root.data  )
      elif level > 1:
         populate_output(root.left  ,		level - 1  )
         populate_output(root.right  ,		level - 1  )

   populate_output(A  ,		A  )
   return output




def        _SCREAMING_SNAKE_CASE  (				A  :       Node | None  ,		A  :       int  )    -> Sequence[Node | None]:







   """simple docstring"""
   __snake_case				:      list[Any]     							= []

   def populate_output(A  :       Node | None  ,		A  :       int  ) -> None:
      if root is None:
         return
      if level == 1:
         output.append(root.data  )
      elif level > 1:
         populate_output(root.right  ,		level - 1  )
         populate_output(root.left  ,		level - 1  )

   populate_output(A  ,		A  )
   return output




def        _SCREAMING_SNAKE_CASE  (				A  :       Node | None  )    -> Sequence[Node | None] | list[Any]:







   """simple docstring"""
   if root is None:
      return []

   __snake_case				:      list[Sequence[Node | None]]     							= []

   __snake_case				:      List[Any]     							= 0
   __snake_case				:      int     							= height(A  )

   for h in range(1  ,		height_tree + 1  ):
      if not flag:
         output.append(get_nodes_from_left_to_right(A  ,		A  )  )
         __snake_case				:      int     							= 1
      else:
         output.append(get_nodes_from_right_to_left(A  ,		A  )  )
         __snake_case				:      Tuple     							= 0

   return output




def        _SCREAMING_SNAKE_CASE  (				)    -> None:  # Main function for testing.







   """simple docstring"""
   __snake_case				:      Optional[int]     							= make_tree()
   print(F"""In-order Traversal: {inorder(A  )}"""  )
   print(F"""Pre-order Traversal: {preorder(A  )}"""  )
   print(F"""Post-order Traversal: {postorder(A  )}"""  ,		'\n'  )

   print(F"""Height of Tree: {height(A  )}"""  ,		'\n'  )

   print('Complete Level Order Traversal: '  )
   print(level_order(A  )  ,		'\n'  )

   print('Level-wise order Traversal: '  )

   for level in range(1  ,		height(A  ) + 1  ):
      print(F"""Level {level}:"""  ,		get_nodes_from_left_to_right(A  ,		level=A  )  )

   print('\nZigZag order Traversal: '  )
   print(zigzag(A  )  )


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      main()