

import json
import os
import re
import sys
import urllib.request

import requests
from bsa import BeautifulSoup

lowercase_   							=  {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
    ' (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 Edge/18.19582'
}
def 	a (     A__      :  str = "dhaka" ,  A__      :  int = 5	)       -> int:





      """simple docstring"""



      _lowercase      			=min(A__ ,  50	)  # Prevent abuse!
      _lowercase      			={
          'q': query,
          'tbm': 'isch',
          'hl': 'en',
          'ijn': '0',
      }

      _lowercase      			=requests.get('https://www.google.com/search' ,  params=A__ ,  headers=A__	)
      _lowercase      			=BeautifulSoup(html.text ,  'html.parser'	)
      _lowercase      			=''.join(
          re.findall(r'AF_initDataCallback\(([^<]+)\);' ,  str(soup.select('script'	)	)	)	)

      _lowercase      			=json.dumps(A__	)
      _lowercase      			=json.loads(A__	)

      _lowercase      			=re.findall(
          r'\[\"GRID_STATE0\",null,\[\[1,\[0,\".*?\",(.*),\"All\",' ,  A__ ,  )
      if not matched_google_image_data:
            return 0

      _lowercase      			=re.sub(
          r'\[\"(https\:\/\/encrypted-tbn0\.gstatic\.com\/images\?.*?)\",\d+,\d+\]' ,  '' ,  str(A__	) ,  )

      _lowercase      			=re.findall(
          r'(?:\'|,),\[\"(https:|http.*?)\",\d+,\d+\]' ,  A__ ,  )
      for index, fixed_full_res_image in enumerate(A__	):
            if index >= max_images:
                  return index
            _lowercase      			=bytes(A__ ,  'ascii'	).decode(
                'unicode-escape'	)
            _lowercase      			=bytes(A__ ,  'ascii'	).decode(
                'unicode-escape'	)
            _lowercase      			=urllib.request.build_opener()
            _lowercase      			=[
                (
                    'User-Agent',
                    'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
                    ' (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 Edge/18.19582',
                )
            ]
            urllib.request.install_opener(A__	)
            _lowercase      			=F'''query_{query.replace(" " ,  "_"	)}'''
            if not os.path.exists(A__	):
                  os.makedirs(A__	)
            urllib.request.urlretrieve(  # noqa: S310
                A__ ,  F'''{path_name}/original_size_img_{index}.jpg'''	)
      return index


if __name__ == "__main__":
  try:
    lowercase_   							=  download_images_from_google_query(sys.argv[1])
    print(f"{image_count} images were downloaded to disk.")
  except IndexError:
    print('Please provide a search term.')
    raise





import flax.linen as nn
import jax
import jax.numpy as jnp





class 					__lowerCAmelCase	(   nn.Module				):
  _a		     =    42
  _a		     =    jnp.floataa




  def     A__	(							self   )    ->					int:
        '''simple docstring'''






        _lowercase      			=nn.Conv(
            self.out_channels				,  kernel_size=(3, 3)				,  strides=(1, 1)				,  padding=((1, 1), (1, 1))				,  dtype=self.dtype				,  )




  def __call__(							self				,  lowerCAmelCase   )    ->					Any:
        '''simple docstring'''






        _lowercase			,			_lowercase			,			_lowercase			,			_lowercase      			=hidden_states.shape
        _lowercase      			=jax.image.resize(
            lowerCAmelCase				,  shape=(batch, height * 2, width * 2, channels)				,  method='nearest'				,  )
        _lowercase      			=self.conv(lowerCAmelCase   )
        return hidden_states





class 					__lowerCAmelCase	(   nn.Module				):
  _a		     =    42
  _a		     =    jnp.floataa




  def     A__	(							self   )    ->					Any:
        '''simple docstring'''






        _lowercase      			=nn.Conv(
            self.out_channels				,  kernel_size=(3, 3)				,  strides=(2, 2)				,  padding=((1, 1), (1, 1))				,  dtype=self.dtype				,  )




  def __call__(							self				,  lowerCAmelCase   )    ->					Optional[int]:
        '''simple docstring'''






        _lowercase      			=self.conv(lowerCAmelCase   )
        return hidden_states





class 					__lowerCAmelCase	(   nn.Module				):
  _a		     =    42
  _a		     =    None
  _a		     =    0.0
  _a		     =    None
  _a		     =    jnp.floataa




  def     A__	(							self   )    ->					Optional[int]:
        '''simple docstring'''






        _lowercase      			=self.in_channels if self.out_channels is None else self.out_channels

        _lowercase      			=nn.GroupNorm(num_groups=32				,  epsilon=1e-5   )
        _lowercase      			=nn.Conv(
            lowerCAmelCase				,  kernel_size=(3, 3)				,  strides=(1, 1)				,  padding=((1, 1), (1, 1))				,  dtype=self.dtype				,  )

        _lowercase      			=nn.Dense(lowerCAmelCase				,  dtype=self.dtype   )

        _lowercase      			=nn.GroupNorm(num_groups=32				,  epsilon=1e-5   )
        _lowercase      			=nn.Dropout(self.dropout_prob   )
        _lowercase      			=nn.Conv(
            lowerCAmelCase				,  kernel_size=(3, 3)				,  strides=(1, 1)				,  padding=((1, 1), (1, 1))				,  dtype=self.dtype				,  )

        _lowercase      			=self.in_channels != out_channels if self.use_nin_shortcut is None else self.use_nin_shortcut

        _lowercase      			=None
        if use_nin_shortcut:
              _lowercase      			=nn.Conv(
                  lowerCAmelCase				,  kernel_size=(1, 1)				,  strides=(1, 1)				,  padding='VALID'				,  dtype=self.dtype				,  )




  def __call__(							self				,  lowerCAmelCase				,  lowerCAmelCase				,  lowerCAmelCase=True   )    ->					Tuple:
        '''simple docstring'''






        _lowercase      			=hidden_states
        _lowercase      			=self.norma(lowerCAmelCase   )
        _lowercase      			=nn.swish(lowerCAmelCase   )
        _lowercase      			=self.conva(lowerCAmelCase   )

        _lowercase      			=self.time_emb_proj(nn.swish(lowerCAmelCase   )   )
        _lowercase      			=jnp.expand_dims(jnp.expand_dims(lowerCAmelCase				,  1   )				,  1   )
        _lowercase      			=hidden_states + temb

        _lowercase      			=self.norma(lowerCAmelCase   )
        _lowercase      			=nn.swish(lowerCAmelCase   )
        _lowercase      			=self.dropout(lowerCAmelCase				,  lowerCAmelCase   )
        _lowercase      			=self.conva(lowerCAmelCase   )

        if self.conv_shortcut is not None:
              _lowercase      			=self.conv_shortcut(lowerCAmelCase   )

        return hidden_states + residual


