



"""simple docstring"""


from collections.abc import Sequence
from queue import Queue


class        a				:


    def __init__(					self	:  str   ,				__lowerCAmelCase	:  str   ,				__lowerCAmelCase	:  str   ,				__lowerCAmelCase	:  int   ,				__lowerCAmelCase	:  str=None   ,				__lowerCAmelCase	:  Optional[int]=None					):
      _UpperCAmelCase						 =      start
      _UpperCAmelCase						 =      end
      _UpperCAmelCase						 =      val
      _UpperCAmelCase						 =      (start + end) // 2
      _UpperCAmelCase						 =      left
      _UpperCAmelCase						 =      right


    def __repr__(					self	:  Any					):
      return f'''SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})'''



class        a				:


    def __init__(					self	:  str   ,				__lowerCAmelCase	:  Sequence   ,				__lowerCAmelCase	:  Optional[int]					):
      _UpperCAmelCase						 =      collection
      _UpperCAmelCase						 =      function
      if self.collection:
        _UpperCAmelCase						 =      self._build_tree(0   ,				len(__lowerCAmelCase					) - 1					)


    def      lowerCAmelCase_  (					self	:  Optional[int]   ,				__lowerCAmelCase	:  Optional[int]   ,				__lowerCAmelCase	:  int					):
      self._update_tree(self.root   ,				__lowerCAmelCase   ,				__lowerCAmelCase					)


    def      lowerCAmelCase_  (					self	:  Optional[int]   ,				__lowerCAmelCase	:  Optional[Any]   ,				__lowerCAmelCase	:  Dict					):
      return self._query_range(self.root   ,				__lowerCAmelCase   ,				__lowerCAmelCase					)


    def      lowerCAmelCase_  (					self	:  List[str]   ,				__lowerCAmelCase	:  int   ,				__lowerCAmelCase	:  Tuple					):
      if start == end:
        return SegmentTreeNode(__lowerCAmelCase   ,				__lowerCAmelCase   ,				self.collection[start]					)
      _UpperCAmelCase						 =      (start + end) // 2
      _UpperCAmelCase						 =      self._build_tree(__lowerCAmelCase   ,				__lowerCAmelCase					)
      _UpperCAmelCase						 =      self._build_tree(mid + 1   ,				__lowerCAmelCase					)
      return SegmentTreeNode(__lowerCAmelCase   ,				__lowerCAmelCase   ,				self.fn(left.val   ,				right.val					)   ,				__lowerCAmelCase   ,				__lowerCAmelCase					)


    def      lowerCAmelCase_  (					self	:  Tuple   ,				__lowerCAmelCase	:  List[str]   ,				__lowerCAmelCase	:  str   ,				__lowerCAmelCase	:  Tuple					):
      if node.start == i and node.end == i:
        _UpperCAmelCase						 =      val
        return
      if i <= node.mid:
        self._update_tree(node.left   ,				__lowerCAmelCase   ,				__lowerCAmelCase					)
      else:
        self._update_tree(node.right   ,				__lowerCAmelCase   ,				__lowerCAmelCase					)
      _UpperCAmelCase						 =      self.fn(node.left.val   ,				node.right.val					)


    def      lowerCAmelCase_  (					self	:  Any   ,				__lowerCAmelCase	:  Tuple   ,				__lowerCAmelCase	:  Dict   ,				__lowerCAmelCase	:  Tuple					):
      if node.start == i and node.end == j:
        return node.val

      if i <= node.mid:
        if j <= node.mid:
          # range in left child tree
          return self._query_range(node.left   ,				__lowerCAmelCase   ,				__lowerCAmelCase					)
        else:
          # range in left child tree and right child tree
          return self.fn(
              self._query_range(node.left   ,				__lowerCAmelCase   ,				node.mid					)   ,				self._query_range(node.right   ,				node.mid + 1   ,				__lowerCAmelCase					)   ,				)
      else:
        # range in right child tree
        return self._query_range(node.right   ,				__lowerCAmelCase   ,				__lowerCAmelCase					)


    def      lowerCAmelCase_  (					self	:  Dict					):
      if self.root is not None:
        _UpperCAmelCase						 =      Queue()
        queue.put(self.root					)
        while not queue.empty():
          _UpperCAmelCase						 =      queue.get()
          yield node

          if node.left is not None:
            queue.put(node.left					)

          if node.right is not None:
            queue.put(node.right					)


if __name__ == "__main__":
    import operator

    for fn in [operator.add, max, min]:
        print("""*""" * 5_0)
        UpperCAmelCase__  		=						SegmentTree([2, 1, 5, 3, 4], fn)
        for node in arr.traverse():
            print(node)
        print()

        arr.update(1, 5)
        for node in arr.traverse():
            print(node)
        print()

        print(arr.query_range(3, 4))  # 7
        print(arr.query_range(2, 2))  # 5
        print(arr.query_range(1, 3))  # 13
        print()

"""simple docstring"""


import argparse

from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection

from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline


if __name__ == "__main__":
    UpperCAmelCase__  		=						argparse.ArgumentParser()

    parser.add_argument("""--dump_path""", default=None, type=str, required=True, help="""Path to the output model.""")

    parser.add_argument(
        """--txt2img_unclip""",
        default="""kakaobrain/karlo-v1-alpha""",
        type=str,
        required=False,
        help="""The pretrained txt2img unclip.""",
    )

    UpperCAmelCase__  		=						parser.parse_args()

    UpperCAmelCase__  		=						UnCLIPPipeline.from_pretrained(args.txtaimg_unclip)

    UpperCAmelCase__  		=						CLIPImageProcessor()
    UpperCAmelCase__  		=						CLIPVisionModelWithProjection.from_pretrained("""openai/clip-vit-large-patch14""")

    UpperCAmelCase__  		=						UnCLIPImageVariationPipeline(
        decoder=txtaimg.decoder,
        text_encoder=txtaimg.text_encoder,
        tokenizer=txtaimg.tokenizer,
        text_proj=txtaimg.text_proj,
        feature_extractor=feature_extractor,
        image_encoder=image_encoder,
        super_res_first=txtaimg.super_res_first,
        super_res_last=txtaimg.super_res_last,
        decoder_scheduler=txtaimg.decoder_scheduler,
        super_res_scheduler=txtaimg.super_res_scheduler,
    )

    imgaimg.save_pretrained(args.dump_path)
