





'''simple docstring'''


import os
import sys
import warnings
from dataclasses import dataclass, field
from io import BytesIO
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import numpy as np
import pyarrow as pa

from .. import config
from ..download.streaming_download_manager import xopen
from ..table import array_cast
from ..utils.file_utils import is_local_path
from ..utils.py_utils import first_non_null_value, no_op_if_value_is_null, string_to_dict


if TYPE_CHECKING:
 import PIL.Image

 from .features import FeatureType


lowerCAmelCase					:     Optional[List[str]]												=None
lowerCAmelCase					:     Optional[Any]												='''<''' if sys.byteorder == '''little''' else '''>'''
# Origin: https://github.com/python-pillow/Pillow/blob/698951e19e19972aeed56df686868f1329981c12/src/PIL/Image.py#L3126 minus "|i1" which values are not preserved correctly when saving and loading an image
lowerCAmelCase					:     Union[str, Any]												=[
    np.dtype('''|b1'''),
    np.dtype('''|u1'''),
    np.dtype('''<u2'''),
    np.dtype('''>u2'''),
    np.dtype('''<i2'''),
    np.dtype('''>i2'''),
    np.dtype('''<u4'''),
    np.dtype('''>u4'''),
    np.dtype('''<i4'''),
    np.dtype('''>i4'''),
    np.dtype('''<f4'''),
    np.dtype('''>f4'''),
    np.dtype('''<f8'''),
    np.dtype('''>f8'''),
]
@dataclass
class       a_   :
     __A      =			True
     __A      =			None
     # Automatically constructed
     __A      =			"PIL.Image.Image"
     __A      =			pa.struct({"bytes": pa.binary(), "path": pa.string()}							)
     __A      =			field(default="Image"	,						init=_lowerCAmelCase	,						repr=_lowerCAmelCase							)





     def __call__( self		:					Optional[int]						):





        """simple docstring"""




        return self.pa_type





     def 							lowercase__      ( self		:					Optional[int]	,      lowercase		:					Union[str, bytes, dict, np.ndarray, "PIL.Image.Image"]						):





        """simple docstring"""




        if config.PIL_AVAILABLE:
           import PIL.Image
        else:
           raise ImportError("To support encoding images, please install 'Pillow'."						)

        if isinstance(lowercase	,      lowercase						):
           lowercase_			:Union[str, Any]    			= np.array(lowercase						)

        if isinstance(lowercase	,      lowercase						):
           return {"path": value, "bytes": None}
        elif isinstance(lowercase	,      lowercase						):
           return {"path": None, "bytes": value}
        elif isinstance(lowercase	,      np.ndarray						):
           # convert the image array to PNG/TIFF bytes
           return encode_np_array(lowercase						)
        elif isinstance(lowercase	,      PIL.Image.Image						):
           # convert the PIL image to bytes (default format is PNG/TIFF)
           return encode_pil_image(lowercase						)
        elif value.get("path"						) is not None and os.path.isfile(value["path"]						):
           # we set "bytes": None to not duplicate the data if they're already available locally
           return {"bytes": None, "path": value.get("path"						)}
        elif value.get("bytes"						) is not None or value.get("path"						) is not None:
           # store the image bytes, and path is used to infer the image format using the file extension
           return {"bytes": value.get("bytes"						), "path": value.get("path"						)}
        else:
           raise ValueError(
               F'An image sample should have one of \'path\' or \'bytes\' but they are missing or None in {value}.'						)





     def 							lowercase__      ( self		:					int	,      lowercase		:					dict	,      lowercase		:					List[str]=None						):





        """simple docstring"""




        if not self.decode:
           raise RuntimeError("Decoding is disabled for this feature. Please use Image(decode=True) instead."						)

        if config.PIL_AVAILABLE:
           import PIL.Image
        else:
           raise ImportError("To support decoding images, please install 'Pillow'."						)

        if token_per_repo_id is None:
           lowercase_			:str    			= {}

        lowercase_			,							lowercase_			:List[str]    			= value["path"], value["bytes"]
        if bytes_ is None:
           if path is None:
              raise ValueError(F'An image should have one of \'path\' or \'bytes\' but both are None in {value}.'						)
           else:
              if is_local_path(lowercase						):
                 lowercase_			:Dict    			= PIL.Image.open(lowercase						)
              else:
                 lowercase_			:Optional[int]    			= path.split("::"						)[-1]
                 try:
                    lowercase_			:List[Any]    			= string_to_dict(lowercase	,      config.HUB_DATASETS_URL						)["repo_id"]
                    lowercase_			:Dict    			= token_per_repo_id.get(lowercase						)
                 except ValueError:
                    lowercase_			:Union[str, Any]    			= None
                 with xopen(lowercase	,      "rb"	,      use_auth_token=lowercase						) as f:
                    lowercase_			:List[str]    			= BytesIO(f.read()						)
                 lowercase_			:str    			= PIL.Image.open(bytes_						)
        else:
           lowercase_			:List[str]    			= PIL.Image.open(BytesIO(bytes_						)						)
        image.load()  # to avoid "Too many open files" errors
        return image





     def 							lowercase__      ( self		:					Optional[Any]						):





        """simple docstring"""




        from .features import Value

        return (
            self
            if self.decode
            else {
                "bytes": Value("binary"						),
                "path": Value("string"						),
            }
        )





     def 							lowercase__      ( self		:					Union[str, Any]	,      lowercase		:					Union[pa.StringArray, pa.StructArray, pa.ListArray]						):





        """simple docstring"""




        if pa.types.is_string(storage.type						):
           lowercase_			:Any    			= pa.array([None] * len(lowercase						)	,      type=pa.binary()						)
           lowercase_			:Dict    			= pa.StructArray.from_arrays([bytes_array, storage]	,      ["bytes", "path"]	,      mask=storage.is_null()						)
        elif pa.types.is_binary(storage.type						):
           lowercase_			:List[Any]    			= pa.array([None] * len(lowercase						)	,      type=pa.string()						)
           lowercase_			:Optional[int]    			= pa.StructArray.from_arrays([storage, path_array]	,      ["bytes", "path"]	,      mask=storage.is_null()						)
        elif pa.types.is_struct(storage.type						):
           if storage.type.get_field_index("bytes"						) >= 0:
              lowercase_			:Union[str, Any]    			= storage.field("bytes"						)
           else:
              lowercase_			:int    			= pa.array([None] * len(lowercase						)	,      type=pa.binary()						)
           if storage.type.get_field_index("path"						) >= 0:
              lowercase_			:List[str]    			= storage.field("path"						)
           else:
              lowercase_			:Any    			= pa.array([None] * len(lowercase						)	,      type=pa.string()						)
           lowercase_			:Any    			= pa.StructArray.from_arrays([bytes_array, path_array]	,      ["bytes", "path"]	,      mask=storage.is_null()						)
        elif pa.types.is_list(storage.type						):
           lowercase_			:List[str]    			= pa.array(
               [encode_np_array(np.array(lowercase						)						)["bytes"] if arr is not None else None for arr in storage.to_pylist()]	,      type=pa.binary()	,      )
           lowercase_			:List[Any]    			= pa.array([None] * len(lowercase						)	,      type=pa.string()						)
           lowercase_			:Optional[int]    			= pa.StructArray.from_arrays(
               [bytes_array, path_array]	,      ["bytes", "path"]	,      mask=bytes_array.is_null()						)
        return array_cast(lowercase	,      self.pa_type						)







     def 							lowercase__      ( self		:					Optional[Any]	,      lowercase		:					pa.StructArray						):





        """simple docstring"""




        @no_op_if_value_is_null
        def path_to_bytes(lowercase		:					List[str]						):
           with xopen(lowercase	,      "rb"						) as f:
              lowercase_			:Optional[int]    			= f.read()
           return bytes_

        lowercase_			:Tuple    			= pa.array(
            [
                (path_to_bytes(x["path"]						) if x["bytes"] is None else x["bytes"]) if x is not None else None
                for x in storage.to_pylist()
            ]	,      type=pa.binary()	,      )
        lowercase_			:int    			= pa.array(
            [os.path.basename(lowercase						) if path is not None else None for path in storage.field("path"						).to_pylist()]	,      type=pa.string()	,      )
        lowercase_			:Tuple    			= pa.StructArray.from_arrays([bytes_array, path_array]	,      ["bytes", "path"]	,      mask=bytes_array.is_null()						)
        return array_cast(lowercase	,      self.pa_type						)







def 							UpperCAmelCase_  (						):
   if config.PIL_AVAILABLE:
      import PIL.Image
   else:
      raise ImportError("To support encoding images, please install 'Pillow'." )

   global _IMAGE_COMPRESSION_FORMATS
   if _IMAGE_COMPRESSION_FORMATS is None:
      PIL.Image.init()
      lowercase_			:Union[str, Any]    			= list(set(PIL.Image.OPEN.keys() ) & set(PIL.Image.SAVE.keys() ) )
   return _IMAGE_COMPRESSION_FORMATS
def 							UpperCAmelCase_  (						__lowerCamelCase					:					"PIL.Image.Image" ):
   lowercase_			:List[Any]    			= BytesIO()
   if image.format in list_image_compression_formats():
      lowercase_			:Optional[int]    			= image.format
   else:
      lowercase_			:List[str]    			= "PNG" if image.mode in ["1", "L", "LA", "RGB", "RGBA"] else "TIFF"
   image.save(__lowerCamelCase	,format=__lowerCamelCase )
   return buffer.getvalue()
def 							UpperCAmelCase_  (						__lowerCamelCase					:					"PIL.Image.Image" ):
   if hasattr(__lowerCamelCase	,"filename" ) and image.filename != "":
      return {"path": image.filename, "bytes": None}
   else:
      return {"path": None, "bytes": image_to_bytes(__lowerCamelCase )}
def 							UpperCAmelCase_  (						__lowerCamelCase					:					np.ndarray ):
   if config.PIL_AVAILABLE:
      import PIL.Image
   else:
      raise ImportError("To support encoding images, please install 'Pillow'." )

   lowercase_			:Tuple    			= array.dtype
   lowercase_			:List[Any]    			= dtype.byteorder if dtype.byteorder != "=" else _NATIVE_BYTEORDER
   lowercase_			:Dict    			= dtype.kind
   lowercase_			:Optional[Any]    			= dtype.itemsize

   lowercase_			:int    			= None

   # Multi-channel array case (only np.dtype("|u1") is allowed)
   if array.shape[2:]:
      lowercase_			:Union[str, Any]    			= np.dtype("|u1" )
      if dtype_kind not in ["u", "i"]:
         raise TypeError(
             F'Unsupported array dtype {dtype} for image encoding. Only {dest_dtype} is supported for multi-channel arrays.' )
      if dtype is not dest_dtype:
         warnings.warn(F'Downcasting array dtype {dtype} to {dest_dtype} to be compatible with \'Pillow\'' )
    # Exact match
   elif dtype in _VALID_IMAGE_ARRAY_DTPYES:
      lowercase_			:List[str]    			= dtype
   else:  # Downcast the type within the kind (np.can_cast(from_type, to_type, casting="same_kind") doesn't behave as expected, so do it manually)
      while dtype_itemsize >= 1:
         lowercase_			:Any    			= dtype_byteorder + dtype_kind + str(__lowerCamelCase )
         lowercase_			:List[Any]    			= np.dtype(__lowerCamelCase )
         if dest_dtype in _VALID_IMAGE_ARRAY_DTPYES:
            warnings.warn(F'Downcasting array dtype {dtype} to {dest_dtype} to be compatible with \'Pillow\'' )
            break
         else:
            dtype_itemsize //= 2

   if dest_dtype is None:
      raise TypeError(
          F'Cannot convert dtype {dtype} to a valid image dtype. Valid image dtypes: {_VALID_IMAGE_ARRAY_DTPYES}' )
   lowercase_			:List[Any]    			= PIL.Image.fromarray(array.astype(__lowerCamelCase ) )
   return {"path": None, "bytes": image_to_bytes(__lowerCamelCase )}


def 							UpperCAmelCase_  (						__lowerCamelCase					:					Union[List[str], List[dict], List[np.ndarray], List["PIL.Image.Image"]] ):
   if config.PIL_AVAILABLE:
      import PIL.Image
   else:
      raise ImportError("To support encoding images, please install 'Pillow'." )

   if objs:
      lowercase_			,							lowercase_			:int    			= first_non_null_value(__lowerCamelCase )
      if isinstance(__lowerCamelCase	,__lowerCamelCase ):
         return [{"path": obj, "bytes": None} if obj is not None else None for obj in objs]
      if isinstance(__lowerCamelCase	,np.ndarray ):
         lowercase_			:Union[str, Any]    			= no_op_if_value_is_null(__lowerCamelCase )
         return [obj_to_image_dict_func(__lowerCamelCase ) for obj in objs]
      elif isinstance(__lowerCamelCase	,PIL.Image.Image ):
         lowercase_			:int    			= no_op_if_value_is_null(__lowerCamelCase )
         return [obj_to_image_dict_func(__lowerCamelCase ) for obj in objs]
      else:
         return objs
   else:
      return objs









'''simple docstring'''


import sys
import webbrowser

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

if __name__ == "__main__":
 print('''Googling.....''')
 lowerCAmelCase					:     str												='''https://www.google.com/search?q=''' + ''' '''.join(sys.argv[1:])
 lowerCAmelCase					:     List[str]												=requests.get(url, headers={'''UserAgent''': UserAgent().random})
 # res.raise_for_status()
 with open('''project1a.html''', '''wb''') as out_file:  # only for knowing the class
  for data in res.iter_content(10_000):
   out_file.write(data)
 lowerCAmelCase					:     List[Any]												=BeautifulSoup(res.text, '''html.parser''')
 lowerCAmelCase					:     List[Any]												=list(soup.select('''.eZt8xd'''))[:5]

 print(len(links))
 for link in links:
  if link.text == "Maps":
   webbrowser.open(link.get('''href'''))
  else:
   webbrowser.open(F'''https://google.com{link.get('href')}''')


