


"""simple docstring"""



import copy
from typing import TYPE_CHECKING, Any, Mapping, Optional, OrderedDict

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


if TYPE_CHECKING:
  from ... import PreTrainedTokenizerBase, TensorType

__snake_case   			=    logging.get_logger(__name__)







class _lowerCAmelCase				(      snake_case_	):
   __UpperCAmelCase :       Any							  =  '''vision-encoder-decoder'''
   __UpperCAmelCase :       List[Any]							  =  True







   def __init__(	self						,	**UpperCamelCase__						)	->		List[str]:

       '''simple docstring'''




       super().__init__(**UpperCamelCase__						)
       if "encoder" not in kwargs or "decoder" not in kwargs:
           raise ValueError(
               F'A configuraton of type {self.model_type} cannot be instantiated because '
               F'not both `encoder` and `decoder` sub-configurations are passed, but only {kwargs}'						)

       snake_case    :      Any      					=    kwargs.pop("encoder"						)
       snake_case    :      Optional[Any]      					=    encoder_config.pop("model_type"						)
       snake_case    :      Optional[int]      					=    kwargs.pop("decoder"						)
       snake_case    :      Any      					=    decoder_config.pop("model_type"						)

       snake_case    :      Any      					=    AutoConfig.for_model(UpperCamelCase__						,	**UpperCamelCase__						)
       snake_case    :      Optional[Any]      					=    AutoConfig.for_model(UpperCamelCase__						,	**UpperCamelCase__						)
       snake_case    :      Dict      					=    True







   @classmethod
   def  lowerCamelCase		(	cls						,	UpperCamelCase__						,	UpperCamelCase__						,	**UpperCamelCase__						)	->		PretrainedConfig:

       '''simple docstring'''




       logger.info("Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"						)
       snake_case    :      Optional[int]      					=    True
       snake_case    :      int      					=    True

       return cls(encoder=encoder_config.to_dict()						,	decoder=decoder_config.to_dict()						,	**UpperCamelCase__						)







   def  lowerCamelCase		(	self						)	->		Optional[Any]:

       '''simple docstring'''




       snake_case    :      Any      					=    copy.deepcopy(self.__dict__						)
       snake_case    :      Union[str, Any]      					=    self.encoder.to_dict()
       snake_case    :      List[Any]      					=    self.decoder.to_dict()
       snake_case    :      Any      					=    self.__class__.model_type
       return output







class _lowerCAmelCase				(      snake_case_	):
   __UpperCAmelCase :       Any							  =  version.parse('''1.11'''	)







   @property
   def  lowerCamelCase		(	self						)	->		Mapping[str, Mapping[int, str]]:

       '''simple docstring'''




       return OrderedDict(
           [
               ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
           ]						)







   @property
   def  lowerCamelCase		(	self						)	->		float:

       '''simple docstring'''




       return 1e-4







   @property
   def  lowerCamelCase		(	self						)	->		Mapping[str, Mapping[int, str]]:

       '''simple docstring'''




       return OrderedDict({"last_hidden_state": {0: "batch", 1: "encoder_sequence"}}						)







class _lowerCAmelCase				(      snake_case_	):







   @property
   def  lowerCamelCase		(	self						)	->		Mapping[str, Mapping[int, str]]:

       '''simple docstring'''




       snake_case    :      Tuple      					=    OrderedDict()
       snake_case    :      Tuple      					=    {0: "batch", 1: "past_decoder_sequence + sequence"}
       snake_case    :      Optional[int]      					=    {0: "batch", 1: "past_decoder_sequence + sequence"}
       snake_case    :      Optional[Any]      					=    {0: "batch", 1: "encoder_sequence"}

       return common_inputs







   def  lowerCamelCase		(	self						,	UpperCamelCase__						,	UpperCamelCase__ = -1						,	UpperCamelCase__ = -1						,	UpperCamelCase__ = False						,	UpperCamelCase__ = None						,	)	->		Mapping[str, Any]:

       '''simple docstring'''




       import torch

       snake_case    :      Optional[Any]      					=    OrderedDict()

       snake_case    :      Optional[Any]      					=    super().generate_dummy_inputs(
           UpperCamelCase__						,	batch_size=UpperCamelCase__						,	seq_length=UpperCamelCase__						,	is_pair=UpperCamelCase__						,	framework=UpperCamelCase__						)

       snake_case					,snake_case    :      Optional[int]      					=    dummy_input["input_ids"].shape
       snake_case    :      Tuple      					=    (batch, encoder_sequence, self._config.encoder_hidden_size)
       snake_case    :      Tuple      					=    dummy_input.pop("input_ids"						)
       snake_case    :      Tuple      					=    dummy_input.pop("attention_mask"						)
       snake_case    :      Union[str, Any]      					=    torch.zeros(UpperCamelCase__						)

       return common_inputs







class _lowerCAmelCase				(      snake_case_	):







   @property
   def  lowerCamelCase		(	self						)	->		None:

       '''simple docstring'''




       pass







   def  lowerCamelCase		(	self						,	UpperCamelCase__						)	->		OnnxConfig:

       '''simple docstring'''




       return VisionEncoderDecoderEncoderOnnxConfig(UpperCamelCase__						)







   def  lowerCamelCase		(	self						,	UpperCamelCase__						,	UpperCamelCase__						,	UpperCamelCase__ = "default"						)	->		OnnxConfig:

       '''simple docstring'''




       snake_case    :      str      					=    encoder_config.hidden_size
       return VisionEncoderDecoderDecoderOnnxConfig(UpperCamelCase__						,	UpperCamelCase__						)









"""simple docstring"""



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

import requests
from bsa import BeautifulSoup

__snake_case   			=    {
    """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   __lowerCAmelCase						(						lowercase  :  str = "dhaka"						,							lowercase  :  int = 5 )	->						int:


    """simple docstring"""





    snake_case    :      List[Any]      					=    min(lowercase						,							50 )  # Prevent abuse!
    snake_case    :      Optional[Any]      					=    {
        "q": query,
        "tbm": "isch",
        "hl": "en",
        "ijn": "0",
    }

    snake_case    :      str      					=    requests.get("https://www.google.com/search"						,							params=lowercase						,							headers=lowercase )
    snake_case    :      List[str]      					=    BeautifulSoup(html.text						,							"html.parser" )
    snake_case    :      List[Any]      					=    "".join(
        re.findall(R"AF_initDataCallback\(([^<]+)\);"						,							str(soup.select("script" ) ) ) )

    snake_case    :      Optional[Any]      					=    json.dumps(lowercase )
    snake_case    :      str      					=    json.loads(lowercase )

    snake_case    :      List[str]      					=    re.findall(
        R"\[\"GRID_STATE0\",null,\[\[1,\[0,\".*?\",(.*),\"All\","						,							lowercase						,							)
    if not matched_google_image_data:
        return 0

    snake_case    :      List[str]      					=    re.sub(
        R"\[\"(https\:\/\/encrypted-tbn0\.gstatic\.com\/images\?.*?)\",\d+,\d+\]"						,							""						,							str(lowercase )						,							)

    snake_case    :      Dict      					=    re.findall(
        R"(?:'|,),\[\"(https:|http.*?)\",\d+,\d+\]"						,							lowercase						,							)
    for index, fixed_full_res_image in enumerate(lowercase ):
        if index >= max_images:
            return index
        snake_case    :      List[str]      					=    bytes(lowercase						,							"ascii" ).decode(
            "unicode-escape" )
        snake_case    :      Dict      					=    bytes(lowercase						,							"ascii" ).decode(
            "unicode-escape" )
        snake_case    :      int      					=    urllib.request.build_opener()
        snake_case    :      int      					=    [
            (
                "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(lowercase )
        snake_case    :      Optional[int]      					=    F'query_{query.replace(" "						,							"_" )}'
        if not os.path.exists(lowercase ):
            os.makedirs(lowercase )
        urllib.request.urlretrieve(  # noqa: S310
            lowercase						,							F'{path_name}/original_size_img_{index}.jpg' )
    return index


if __name__ == "__main__":
  try:
    __snake_case   			=    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





