

from __future__ import annotations

import math



class       __snake_case  :

  def __init__(					self						,		_A):
      SCREAMING_SNAKE_CASE_									=						size
      # approximate the overall size of segment tree with given value
      SCREAMING_SNAKE_CASE_									=						[0 for i in range(0						,		4 * size)]
      # create array to store lazy update
      SCREAMING_SNAKE_CASE_									=						[0 for i in range(0						,		4 * size)]
      SCREAMING_SNAKE_CASE_									=						[0 for i in range(0						,		4 * size)]  # flag for lazy update

  def 						lowerCAmelCase__     (					self						,		_A):
      return idx * 2

  def 						lowerCAmelCase__     (					self						,		_A):
      return idx * 2 + 1

  def 						lowerCAmelCase__     (					self						,		_A						,		_A						,		_A						,		_A):

      if left_element == right_element:
          SCREAMING_SNAKE_CASE_									=						a[left_element - 1]
      else:
          SCREAMING_SNAKE_CASE_									=						(left_element + right_element) // 2
          self.build(self.left(_A)						,		_A						,		_A						,		_A)
          self.build(self.right(_A)						,		mid + 1						,		_A						,		_A)
          SCREAMING_SNAKE_CASE_									=						max(
              self.segment_tree[self.left(_A)]						,		self.segment_tree[self.right(_A)])

  def 						lowerCAmelCase__     (					self						,		_A						,		_A						,		_A						,		_A						,		_A						,		_A):

      if self.flag[idx] is True:
          SCREAMING_SNAKE_CASE_									=						self.lazy[idx]
          SCREAMING_SNAKE_CASE_									=						False
          if left_element != right_element:
              SCREAMING_SNAKE_CASE_									=						self.lazy[idx]
              SCREAMING_SNAKE_CASE_									=						self.lazy[idx]
              SCREAMING_SNAKE_CASE_									=						True
              SCREAMING_SNAKE_CASE_									=						True

      if right_element < a or left_element > b:
          return True
      if left_element >= a and right_element <= b:
          SCREAMING_SNAKE_CASE_									=						val
          if left_element != right_element:
              SCREAMING_SNAKE_CASE_									=						val
              SCREAMING_SNAKE_CASE_									=						val
              SCREAMING_SNAKE_CASE_									=						True
              SCREAMING_SNAKE_CASE_									=						True
          return True
      SCREAMING_SNAKE_CASE_									=						(left_element + right_element) // 2
      self.update(self.left(_A)						,		_A						,		_A						,		_A						,		_A						,		_A)
      self.update(self.right(_A)						,		mid + 1						,		_A						,		_A						,		_A						,		_A)
      SCREAMING_SNAKE_CASE_									=						max(
          self.segment_tree[self.left(_A)]						,		self.segment_tree[self.right(_A)])
      return True

  def 						lowerCAmelCase__     (					self						,		_A						,		_A						,		_A						,		_A						,		_A):

      if self.flag[idx] is True:
          SCREAMING_SNAKE_CASE_									=						self.lazy[idx]
          SCREAMING_SNAKE_CASE_									=						False
          if left_element != right_element:
              SCREAMING_SNAKE_CASE_									=						self.lazy[idx]
              SCREAMING_SNAKE_CASE_									=						self.lazy[idx]
              SCREAMING_SNAKE_CASE_									=						True
              SCREAMING_SNAKE_CASE_									=						True
      if right_element < a or left_element > b:
          return -math.inf
      if left_element >= a and right_element <= b:
          return self.segment_tree[idx]
      SCREAMING_SNAKE_CASE_									=						(left_element + right_element) // 2
      SCREAMING_SNAKE_CASE_									=						self.query(self.left(_A)						,		_A						,		_A						,		_A						,		_A)
      SCREAMING_SNAKE_CASE_									=						self.query(self.right(_A)						,		mid + 1						,		_A						,		_A						,		_A)
      return max(_A						,		_A)


  def __str__(					self):
      return str([self.query(1						,		1						,		self.size						,		_A						,		_A) for i in range(1						,		self.size + 1)])


if __name__ == "__main__":
       UpperCamelCase__  :      str			=    [1, 2, -4, 7, 3, -5, 6, 11, -20, 9, 14, 15, 5, 2, -8]
       UpperCamelCase__  :      str			=    15
       UpperCamelCase__  :      Union[str, Any]			=    SegmentTree(size)
       segt.build(1, 1, size, A)
       print(segt.query(1, 1, size, 4, 6))
       print(segt.query(1, 1, size, 7, 11))
       print(segt.query(1, 1, size, 7, 12))
       segt.update(1, 1, size, 1, 3, 111)
       print(segt.query(1, 1, size, 1, 15))
       segt.update(1, 1, size, 7, 8, 235)
       print(segt)








from dataclasses import dataclass
from typing import Optional, Tuple, Union

import torch
import torch.nn as nn

from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput, apply_forward_hook
from .modeling_utils import ModelMixin
from .vae import Decoder, DecoderOutput, Encoder, VectorQuantizer



@dataclass
class       __snake_case  (    lowerCAmelCase__       ):
  __lowerCAmelCase     :	torch.FloatTensor






class       __snake_case  (    lowerCAmelCase__     , lowerCAmelCase__       ):

  @register_to_config
  def __init__(					self						,		_A = 3						,		_A = 3						,		_A = ("DownEncoderBlock2D",)						,		_A = ("UpDecoderBlock2D",)						,		_A = (64,)						,		_A = 1						,		_A = "silu"						,		_A = 3						,		_A = 32						,		_A = 256						,		_A = 32						,		_A = None						,		_A = 0.1_8_2_1_5						,		_A = "group"						,		):
      super().__init__()

      # pass init params to Encoder
      SCREAMING_SNAKE_CASE_									=						Encoder(
          in_channels=_A						,		out_channels=_A						,		down_block_types=_A						,		block_out_channels=_A						,		layers_per_block=_A						,		act_fn=_A						,		norm_num_groups=_A						,		double_z=_A						,		)

      SCREAMING_SNAKE_CASE_									=						vq_embed_dim if vq_embed_dim is not None else latent_channels

      SCREAMING_SNAKE_CASE_									=						nn.Convad(_A						,		_A						,		1)
      SCREAMING_SNAKE_CASE_									=						VectorQuantizer(_A						,		_A						,		beta=0.2_5						,		remap=_A						,		sane_index_shape=_A)
      SCREAMING_SNAKE_CASE_									=						nn.Convad(_A						,		_A						,		1)

      # pass init params to Decoder
      SCREAMING_SNAKE_CASE_									=						Decoder(
          in_channels=_A						,		out_channels=_A						,		up_block_types=_A						,		block_out_channels=_A						,		layers_per_block=_A						,		act_fn=_A						,		norm_num_groups=_A						,		norm_type=_A						,		)

  @apply_forward_hook
  def 						lowerCAmelCase__     (					self						,		_A						,		_A = True):
      SCREAMING_SNAKE_CASE_									=						self.encoder(_A)
      SCREAMING_SNAKE_CASE_									=						self.quant_conv(_A)

      if not return_dict:
          return (h,)

      return VQEncoderOutput(latents=_A)

  @apply_forward_hook
  def 						lowerCAmelCase__     (					self						,		_A						,		_A = False						,		_A = True):
      # also go through quantization layer
      if not force_not_quantize:
          SCREAMING_SNAKE_CASE_							,			SCREAMING_SNAKE_CASE_							,			SCREAMING_SNAKE_CASE_									=						self.quantize(_A)
      else:
          SCREAMING_SNAKE_CASE_									=						h
      SCREAMING_SNAKE_CASE_									=						self.post_quant_conv(_A)
      SCREAMING_SNAKE_CASE_									=						self.decoder(_A						,		quant if self.config.norm_type == 'spatial' else None)

      if not return_dict:
          return (dec,)

      return DecoderOutput(sample=_A)


  def 						lowerCAmelCase__     (					self						,		_A						,		_A = True):
      SCREAMING_SNAKE_CASE_									=						sample
      SCREAMING_SNAKE_CASE_									=						self.encode(_A).latents
      SCREAMING_SNAKE_CASE_									=						self.decode(_A).sample

      if not return_dict:
          return (dec,)

      return DecoderOutput(sample=_A)


