



'''simple docstring'''





from __future__ import annotations

from sys import maxsize
from typing import Generic, TypeVar

_UpperCamelCase											=		TypeVar('T')

def 			a_	(				_lowerCAmelCase			) -> int:
  return (position - 1) // 2

def 			a_	(				_lowerCAmelCase			) -> int:
  return (2 * position) + 1

def 			a_	(				_lowerCAmelCase			) -> int:
  return (2 * position) + 2






class    lowerCamelCase_       (							Generic[T]	):
  """simple docstring"""




  def __init__(					self :      str  )   ->   None:
    __lowerCamelCase			:			list[tuple[T, int]]       			=					[]
    __lowerCamelCase			:			dict[T, int]       			=					{}
    __lowerCamelCase			:			int       			=					0




  def __len__(					self :      Optional[Any]  )   ->   int:
    return self.elements




  def __repr__(					self :      str  )   ->   str:
    return str(self.heap  )




  def 		_lowercase	(					self :      Optional[Any]  )   ->   bool:
    # Check if the priority queue is empty
    return self.elements == 0




  def 		_lowercase	(					self :      int     ,      _a :      T     ,      _a :      int  )   ->   None:
    # Add an element with given priority to the queue
    self.heap.append((elem, weight)  )
    __lowerCamelCase			:			Optional[Any]       			=					self.elements
    self.elements += 1
    self._bubble_up(_a  )




  def 		_lowercase	(					self :      Optional[Any]  )   ->   T:
    # Remove and return the element with lowest weight (highest priority)
    if self.elements > 1:
      self._swap_nodes(0     ,      self.elements - 1  )
    __lowerCamelCase			,__lowerCamelCase			:			List[str]       			=					self.heap.pop()
    del self.position_map[elem]
    self.elements -= 1
    if self.elements > 0:
      __lowerCamelCase			,__lowerCamelCase			:			Dict       			=					self.heap[0]
      self._bubble_down(_a  )
    return elem




  def 		_lowercase	(					self :      str     ,      _a :      T     ,      _a :      int  )   ->   None:
    # Update the weight of the given key
    __lowerCamelCase			:			List[Any]       			=					self.position_map[elem]
    __lowerCamelCase			:			Any       			=					(elem, weight)
    if position > 0:
      __lowerCamelCase			:			int       			=					get_parent_position(_a  )
      __lowerCamelCase			,__lowerCamelCase			:			Tuple       			=					self.heap[parent_position]
      if parent_weight > weight:
        self._bubble_up(_a  )
      else:
        self._bubble_down(_a  )
    else:
      self._bubble_down(_a  )




  def 		_lowercase	(					self :      Dict     ,      _a :      T  )   ->   None:
    # Place a node at the proper position (upward movement) [to be used internally
    # only]
    __lowerCamelCase			:			str       			=					self.position_map[elem]
    if curr_pos == 0:
      return None
    __lowerCamelCase			:			str       			=					get_parent_position(_a  )
    __lowerCamelCase			,__lowerCamelCase			:			Tuple       			=					self.heap[curr_pos]
    __lowerCamelCase			,__lowerCamelCase			:			List[Any]       			=					self.heap[parent_position]
    if parent_weight > weight:
      self._swap_nodes(_a     ,      _a  )
      return self._bubble_up(_a  )
    return None




  def 		_lowercase	(					self :      str     ,      _a :      T  )   ->   None:
    # Place a node at the proper position (downward movement) [to be used
    # internally only]
    __lowerCamelCase			:			List[Any]       			=					self.position_map[elem]
    __lowerCamelCase			,__lowerCamelCase			:			Any       			=					self.heap[curr_pos]
    __lowerCamelCase			:			Dict       			=					get_child_left_position(_a  )
    __lowerCamelCase			:			Tuple       			=					get_child_right_position(_a  )
    if child_left_position < self.elements and child_right_position < self.elements:
      __lowerCamelCase			,__lowerCamelCase			:			Optional[int]       			=					self.heap[child_left_position]
      __lowerCamelCase			,__lowerCamelCase			:			List[Any]       			=					self.heap[child_right_position]
      if child_right_weight < child_left_weight and child_right_weight < weight:
        self._swap_nodes(_a     ,      _a  )
        return self._bubble_down(_a  )
    if child_left_position < self.elements:
      __lowerCamelCase			,__lowerCamelCase			:			Optional[int]       			=					self.heap[child_left_position]
      if child_left_weight < weight:
        self._swap_nodes(_a     ,      _a  )
        return self._bubble_down(_a  )
    else:
      return None
    if child_right_position < self.elements:
      __lowerCamelCase			,__lowerCamelCase			:			Dict       			=					self.heap[child_right_position]
      if child_right_weight < weight:
        self._swap_nodes(_a     ,      _a  )
        return self._bubble_down(_a  )
    return None




  def 		_lowercase	(					self :      List[str]     ,      _a :      int     ,      _a :      int  )   ->   None:
    # Swap the nodes at the given positions
    __lowerCamelCase			:			str       			=					self.heap[nodea_pos][0]
    __lowerCamelCase			:			List[str]       			=					self.heap[nodea_pos][0]
    __lowerCamelCase			,__lowerCamelCase			:			List[Any]       			=					(
        self.heap[nodea_pos],
        self.heap[nodea_pos],
    )
    __lowerCamelCase			:			int       			=					nodea_pos
    __lowerCamelCase			:			Optional[int]       			=					nodea_pos






class    lowerCamelCase_       (							Generic[T]	):
  """simple docstring"""




  def __init__(					self :      List[Any]  )   ->   None:
    __lowerCamelCase			:			dict[T, dict[T, int]]       			=					{}
    __lowerCamelCase			:			int       			=					0




  def __repr__(					self :      List[str]  )   ->   str:
    return str(self.connections  )




  def __len__(					self :      Union[str, Any]  )   ->   int:
    return self.nodes




  def 		_lowercase	(					self :      List[str]     ,      _a :      T  )   ->   None:
    # Add a node in the graph if it is not in the graph
    if node not in self.connections:
      __lowerCamelCase			:			List[Any]       			=					{}
      self.nodes += 1




  def 		_lowercase	(					self :      int     ,      _a :      T     ,      _a :      T     ,      _a :      int  )   ->   None:
    # Add an edge between 2 nodes in the graph
    self.add_node(_a  )
    self.add_node(_a  )
    __lowerCamelCase			:			List[Any]       			=					weight
    __lowerCamelCase			:			Union[str, Any]       			=					weight




def 			a_	(				_lowerCAmelCase			,) -> tuple[dict[T, int], dict[T, T | None]]:
  __lowerCamelCase			:			dict[T, int]       			=					{node: maxsize for node in graph.connections}
  __lowerCamelCase			:			dict[T, T | None]       			=					{node: None for node in graph.connections}

  __lowerCamelCase			:			MinPriorityQueue[T]       			=					MinPriorityQueue()
  for node, weight in dist.items():
    priority_queue.push(_lowerCAmelCase			,_lowerCAmelCase			)

  if priority_queue.is_empty():
    return dist, parent

  # initialization
  __lowerCamelCase			:			Optional[Any]       			=					priority_queue.extract_min()
  __lowerCamelCase			:			Union[str, Any]       			=					0
  for neighbour in graph.connections[node]:
    if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
      __lowerCamelCase			:			str       			=					dist[node] + graph.connections[node][neighbour]
      priority_queue.update_key(_lowerCAmelCase			,dist[neighbour]			)
      __lowerCamelCase			:			Tuple       			=					node

    # running prim's algorithm
  while not priority_queue.is_empty():
    __lowerCamelCase			:			Tuple       			=					priority_queue.extract_min()
    for neighbour in graph.connections[node]:
      if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
        __lowerCamelCase			:			int       			=					dist[node] + graph.connections[node][neighbour]
        priority_queue.update_key(_lowerCAmelCase			,dist[neighbour]			)
        __lowerCamelCase			:			Dict       			=					node
  return dist, parent











'''simple docstring'''





import argparse
import os
from io import BytesIO
from pathlib import Path

import requests
from clip_retrieval.clip_client import ClipClient
from PIL import Image
from tqdm import tqdm

def 			a_	(				_lowerCAmelCase			,_lowerCAmelCase			,_lowerCAmelCase			) -> int:
  __lowerCamelCase			:			Optional[Any]       			=					1.5
  __lowerCamelCase			:			Tuple       			=					int(factor * num_class_images			)
  __lowerCamelCase			:			Tuple       			=					ClipClient(
      url='https://knn.laion.ai/knn-service'			,indice_name='laion_400m'			,num_images=_lowerCAmelCase			,aesthetic_weight=0.1			)

  os.makedirs(F'{class_data_dir}/images'			,exist_ok=_lowerCAmelCase			)
  if len(list(Path(F'{class_data_dir}/images'			).iterdir()			)			) >= num_class_images:
    return

  while True:
    __lowerCamelCase			:			Dict       			=					client.query(text=_lowerCAmelCase			)
    if len(_lowerCAmelCase			) >= factor * num_class_images or num_images > 1E4:
      break
    else:
      __lowerCamelCase			:			Union[str, Any]       			=					int(factor * num_images			)
      __lowerCamelCase			:			List[str]       			=					ClipClient(
          url='https://knn.laion.ai/knn-service'			,indice_name='laion_400m'			,num_images=_lowerCAmelCase			,aesthetic_weight=0.1			,)

  __lowerCamelCase			:			List[Any]       			=					0
  __lowerCamelCase			:			Tuple       			=					0
  __lowerCamelCase			:			int       			=					tqdm(desc='downloading real regularization images'			,total=_lowerCAmelCase			)

  with open(F'{class_data_dir}/caption.txt'			,'w'			) as fa, open(F'{class_data_dir}/urls.txt'			,'w'			) as fa, open(
      F'{class_data_dir}/images.txt'			,'w'			) as fa:
    while total < num_class_images:
      __lowerCamelCase			:			List[str]       			=					class_images[count]
      count += 1
      try:
        __lowerCamelCase			:			int       			=					requests.get(images['url']			)
        if img.status_code == 200:
          __lowerCamelCase			:			str       			=					Image.open(BytesIO(img.content			)			)
          with open(F'{class_data_dir}/images/{total}.jpg'			,'wb'			) as f:
            f.write(img.content			)
          fa.write(images['caption'] + '\n'			)
          fa.write(images['url'] + '\n'			)
          fa.write(F'{class_data_dir}/images/{total}.jpg' + '\n'			)
          total += 1
          pbar.update(1			)
        else:
          continue
      except Exception:
        continue
  return

def 			a_	(				) -> Dict:
  __lowerCamelCase			:			Any       			=					argparse.ArgumentParser(''			,add_help=_lowerCAmelCase			)
  parser.add_argument('--class_prompt'			,help='text prompt to retrieve images'			,required=_lowerCAmelCase			,type=_lowerCAmelCase			)
  parser.add_argument('--class_data_dir'			,help='path to save images'			,required=_lowerCAmelCase			,type=_lowerCAmelCase			)
  parser.add_argument('--num_class_images'			,help='number of images to download'			,default=200			,type=_lowerCAmelCase			)
  return parser.parse_args()


if __name__ == "__main__":
   _UpperCamelCase											=		parse_args()
   retrieve(args.class_prompt, args.class_data_dir, args.num_class_images)






