
"""simple docstring"""





import os

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

_a	 =							{'UserAgent': UserAgent().random}
_a	 =							'https://www.mywaifulist.moe/random'







def 			__a  (	__lowerCamelCase,	__lowerCamelCase						):
   UpperCAmelCase_      :      Tuple      =					requests.get(__lowerCamelCase,	headers=__lowerCamelCase						)
   with open(__lowerCamelCase,	"wb"						) as file:
      file.write(image.content						)







def 			__a  (	):
   UpperCAmelCase_      :      Optional[int]      =					BeautifulSoup(requests.get(__lowerCamelCase,	headers=__lowerCamelCase						).text,	"html.parser"						)
   UpperCAmelCase_      :      List[Any]      =					soup.find("meta",	attrs={"property": "og:title"}						).attrs["content"]
   UpperCAmelCase_      :      List[Any]      =					soup.find("meta",	attrs={"property": "og:image"}						).attrs["content"]
   UpperCAmelCase_      :      Union[str, Any]      =					soup.find("p",	id="description"						).get_text()
   UpperCAmelCase_  ,     UpperCAmelCase_      :      str      =					os.path.splitext(os.path.basename(__lowerCamelCase						)						)
   UpperCAmelCase_      :      List[Any]      =					title.strip().replace(" ",	"_"						)
   UpperCAmelCase_      :      Optional[int]      =					f"""{image_title}{image_extension}"""
   save_image(__lowerCamelCase,	__lowerCamelCase						)
   return (title, description, image_title)


if __name__ == "__main__":
    _a , _a , _a	 =							random_anime_character()
    print(f"""{title}\n\n{desc}\n\nImage saved : {image_title}""")




"""simple docstring"""





import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available


if is_vision_available():
    from PIL import Image

    from transformers import AutoProcessor, BertTokenizer, CLIPImageProcessor, GitProcessor, PreTrainedTokenizerFast


@require_vision
class A_			(unittest.TestCase   ):




  '''simple docstring'''







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      Optional[int]      =					tempfile.mkdtemp()

     UpperCAmelCase_      :      List[Any]      =					CLIPImageProcessor()
     UpperCAmelCase_      :      Any      =					BertTokenizer.from_pretrained(
         "hf-internal-testing/tiny-random-BertModel"       ,     model_input_names=["input_ids", "attention_mask"]						)

     UpperCAmelCase_      :      Tuple      =					GitProcessor(lowercase_       ,     lowercase_						)

     processor.save_pretrained(self.tmpdirname						)







  def  UpperCamelCase__      (	self       ,     **lowercase_						):

     """simple docstring"""
     return AutoProcessor.from_pretrained(self.tmpdirname       ,     **lowercase_						).tokenizer







  def  UpperCamelCase__      (	self       ,     **lowercase_						):

     """simple docstring"""
     return AutoProcessor.from_pretrained(self.tmpdirname       ,     **lowercase_						).image_processor







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     shutil.rmtree(self.tmpdirname						)







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      Optional[int]      =					[np.random.randint(255       ,     size=(3, 30, 400)       ,     dtype=np.uinta						)]

     UpperCAmelCase_      :      Optional[Any]      =					[Image.fromarray(np.moveaxis(lowercase_       ,     0       ,     -1						)						) for x in image_inputs]

     return image_inputs







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      List[Any]      =					GitProcessor(tokenizer=self.get_tokenizer()       ,     image_processor=self.get_image_processor()						)
     processor.save_pretrained(self.tmpdirname						)

     UpperCAmelCase_      :      Optional[int]      =					self.get_tokenizer(bos_token="(BOS)"       ,     eos_token="(EOS)"						)
     UpperCAmelCase_      :      Union[str, Any]      =					self.get_image_processor(do_normalize=lowercase_       ,     padding_value=1.0						)

     UpperCAmelCase_      :      str      =					GitProcessor.from_pretrained(
         self.tmpdirname       ,     bos_token="(BOS)"       ,     eos_token="(EOS)"       ,     do_normalize=lowercase_       ,     padding_value=1.0						)

     self.assertEqual(processor.tokenizer.get_vocab()       ,     tokenizer_add_kwargs.get_vocab()						)
     self.assertIsInstance(processor.tokenizer       ,     lowercase_						)

     self.assertEqual(processor.image_processor.to_json_string()       ,     image_processor_add_kwargs.to_json_string()						)
     self.assertIsInstance(processor.image_processor       ,     lowercase_						)







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      Dict      =					self.get_image_processor()
     UpperCAmelCase_      :      Union[str, Any]      =					self.get_tokenizer()

     UpperCAmelCase_      :      Union[str, Any]      =					GitProcessor(tokenizer=lowercase_       ,     image_processor=lowercase_						)

     UpperCAmelCase_      :      List[Any]      =					self.prepare_image_inputs()

     UpperCAmelCase_      :      Optional[Any]      =					image_processor(lowercase_       ,     return_tensors="np"						)
     UpperCAmelCase_      :      int      =					processor(images=lowercase_       ,     return_tensors="np"						)

     for key in input_feat_extract.keys():
        self.assertAlmostEqual(input_feat_extract[key].sum()       ,     input_processor[key].sum()       ,     delta=1E-2						)







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      Union[str, Any]      =					self.get_image_processor()
     UpperCAmelCase_      :      Tuple      =					self.get_tokenizer()

     UpperCAmelCase_      :      int      =					GitProcessor(tokenizer=lowercase_       ,     image_processor=lowercase_						)

     UpperCAmelCase_      :      Optional[Any]      =					"lower newer"

     UpperCAmelCase_      :      Any      =					processor(text=lowercase_						)

     UpperCAmelCase_      :      int      =					tokenizer(lowercase_       ,     return_token_type_ids=lowercase_						)

     for key in encoded_tok.keys():
        self.assertListEqual(encoded_tok[key]       ,     encoded_processor[key]						)







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      Optional[int]      =					self.get_image_processor()
     UpperCAmelCase_      :      Union[str, Any]      =					self.get_tokenizer()

     UpperCAmelCase_      :      Optional[int]      =					GitProcessor(tokenizer=lowercase_       ,     image_processor=lowercase_						)

     UpperCAmelCase_      :      List[str]      =					"lower newer"
     UpperCAmelCase_      :      Dict      =					self.prepare_image_inputs()

     UpperCAmelCase_      :      Any      =					processor(text=lowercase_       ,     images=lowercase_						)

     self.assertListEqual(list(inputs.keys()						)       ,     ["input_ids", "attention_mask", "pixel_values"]						)

     # test if it raises when no input is passed
     with pytest.raises(lowercase_						):
        processor()







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      Optional[Any]      =					self.get_image_processor()
     UpperCAmelCase_      :      str      =					self.get_tokenizer()

     UpperCAmelCase_      :      int      =					GitProcessor(tokenizer=lowercase_       ,     image_processor=lowercase_						)

     UpperCAmelCase_      :      Tuple      =					[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

     UpperCAmelCase_      :      Any      =					processor.batch_decode(lowercase_						)
     UpperCAmelCase_      :      Optional[Any]      =					tokenizer.batch_decode(lowercase_						)

     self.assertListEqual(lowercase_       ,     lowercase_						)







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      Union[str, Any]      =					self.get_image_processor()
     UpperCAmelCase_      :      Optional[Any]      =					self.get_tokenizer()

     UpperCAmelCase_      :      str      =					GitProcessor(tokenizer=lowercase_       ,     image_processor=lowercase_						)

     UpperCAmelCase_      :      int      =					"lower newer"
     UpperCAmelCase_      :      Tuple      =					self.prepare_image_inputs()

     UpperCAmelCase_      :      Optional[Any]      =					processor(text=lowercase_       ,     images=lowercase_						)

     # For now the processor supports only ['input_ids', 'attention_mask', 'pixel_values']
     self.assertListEqual(list(inputs.keys()						)       ,     ["input_ids", "attention_mask", "pixel_values"]						)


