
import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transformers.utils import IMAGE_PROCESSOR_NAME, is_vision_available


if is_vision_available():
     from PIL import Image

     from transformers import CLIPImageProcessor, CLIPProcessor



@require_vision
class    _snake_case (						unittest.TestCase				):


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Any     		=   tempfile.mkdtemp()

   # fmt: off
   lowercase__	: int     		=   ["""l""", """o""", """w""", """e""", """r""", """s""", """t""", """i""", """d""", """n""", """lo""", """l</w>""", """w</w>""", """r</w>""", """t</w>""", """low</w>""", """er</w>""", """lowest</w>""", """newer</w>""", """wider""", """<unk>""", """<|startoftext|>""", """<|endoftext|>"""]
   # fmt: on
   lowercase__	: Tuple     		=   dict(zip(SCREAMING_SNAKE_CASE_       ,	range(len(SCREAMING_SNAKE_CASE_))))
   lowercase__	: Tuple     		=   ["""#version: 0.2""", """l o""", """lo w</w>""", """e r</w>""", """"""]
   lowercase__	: Dict     		=   {"""unk_token""": """<unk>"""}

   lowercase__	: int     		=   os.path.join(self.tmpdirname       ,	VOCAB_FILES_NAMES["""vocab_file"""])
   lowercase__	: List[Any]     		=   os.path.join(self.tmpdirname       ,	VOCAB_FILES_NAMES["""merges_file"""])
   with open(self.vocab_file       ,	"""w"""       ,	encoding="""utf-8""") as fp:
     fp.write(json.dumps(SCREAMING_SNAKE_CASE_) + """\n""")
   with open(self.merges_file       ,	"""w"""       ,	encoding="""utf-8""") as fp:
     fp.write("""\n""".join(SCREAMING_SNAKE_CASE_))

   lowercase__	: Tuple     		=   {
       """do_resize""": True,
       """size""": 20,
       """do_center_crop""": True,
       """crop_size""": 18,
       """do_normalize""": True,
       """image_mean""": [0.4_8_1_4_5_4_6_6, 0.4_5_7_8_2_7_5, 0.4_0_8_2_1_0_7_3],
       """image_std""": [0.2_6_8_6_2_9_5_4, 0.2_6_1_3_0_2_5_8, 0.2_7_5_7_7_7_1_1],
   }
   lowercase__	: int     		=   os.path.join(self.tmpdirname       ,	SCREAMING_SNAKE_CASE_)
   with open(self.image_processor_file       ,	"""w"""       ,	encoding="""utf-8""") as fp:
     json.dump(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)


 def   lowercase__  (       self       ,	**SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   return CLIPTokenizer.from_pretrained(self.tmpdirname       ,	**SCREAMING_SNAKE_CASE_)


 def   lowercase__  (       self       ,	**SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   return CLIPTokenizerFast.from_pretrained(self.tmpdirname       ,	**SCREAMING_SNAKE_CASE_)


 def   lowercase__  (       self       ,	**SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   return CLIPImageProcessor.from_pretrained(self.tmpdirname       ,	**SCREAMING_SNAKE_CASE_)


 def   lowercase__  (       self):


   '''simple docstring'''




   shutil.rmtree(self.tmpdirname)


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: List[Any]     		=   [np.random.randint(2_55       ,	size=(3, 30, 4_00)       ,	dtype=np.uinta)]

   lowercase__	: Dict     		=   [Image.fromarray(np.moveaxis(SCREAMING_SNAKE_CASE_       ,	0       ,	-1)) for x in image_inputs]

   return image_inputs


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Tuple     		=   self.get_tokenizer()
   lowercase__	: Any     		=   self.get_rust_tokenizer()
   lowercase__	: Optional[Any]     		=   self.get_image_processor()

   lowercase__	: List[str]     		=   CLIPProcessor(tokenizer=SCREAMING_SNAKE_CASE_       ,	image_processor=SCREAMING_SNAKE_CASE_)
   processor_slow.save_pretrained(self.tmpdirname)
   lowercase__	: int     		=   CLIPProcessor.from_pretrained(self.tmpdirname       ,	use_fast=SCREAMING_SNAKE_CASE_)

   lowercase__	: List[str]     		=   CLIPProcessor(tokenizer=SCREAMING_SNAKE_CASE_       ,	image_processor=SCREAMING_SNAKE_CASE_)
   processor_fast.save_pretrained(self.tmpdirname)
   lowercase__	: int     		=   CLIPProcessor.from_pretrained(self.tmpdirname)

   self.assertEqual(processor_slow.tokenizer.get_vocab()       ,	tokenizer_slow.get_vocab())
   self.assertEqual(processor_fast.tokenizer.get_vocab()       ,	tokenizer_fast.get_vocab())
   self.assertEqual(tokenizer_slow.get_vocab()       ,	tokenizer_fast.get_vocab())
   self.assertIsInstance(processor_slow.tokenizer       ,	SCREAMING_SNAKE_CASE_)
   self.assertIsInstance(processor_fast.tokenizer       ,	SCREAMING_SNAKE_CASE_)

   self.assertEqual(processor_slow.image_processor.to_json_string()       ,	image_processor.to_json_string())
   self.assertEqual(processor_fast.image_processor.to_json_string()       ,	image_processor.to_json_string())
   self.assertIsInstance(processor_slow.image_processor       ,	SCREAMING_SNAKE_CASE_)
   self.assertIsInstance(processor_fast.image_processor       ,	SCREAMING_SNAKE_CASE_)


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: List[Any]     		=   CLIPProcessor(tokenizer=self.get_tokenizer()       ,	image_processor=self.get_image_processor())
   processor.save_pretrained(self.tmpdirname)

   lowercase__	: str     		=   self.get_tokenizer(bos_token="""(BOS)"""       ,	eos_token="""(EOS)""")
   lowercase__	: Dict     		=   self.get_image_processor(do_normalize=SCREAMING_SNAKE_CASE_       ,	padding_value=1.0)

   lowercase__	: List[Any]     		=   CLIPProcessor.from_pretrained(
       self.tmpdirname       ,	bos_token="""(BOS)"""       ,	eos_token="""(EOS)"""       ,	do_normalize=SCREAMING_SNAKE_CASE_       ,	padding_value=1.0)

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

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


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: List[str]     		=   self.get_image_processor()
   lowercase__	: str     		=   self.get_tokenizer()

   lowercase__	: Optional[Any]     		=   CLIPProcessor(tokenizer=SCREAMING_SNAKE_CASE_       ,	image_processor=SCREAMING_SNAKE_CASE_)

   lowercase__	: Optional[Any]     		=   self.prepare_image_inputs()

   lowercase__	: Dict     		=   image_processor(SCREAMING_SNAKE_CASE_       ,	return_tensors="""np""")
   lowercase__	: Dict     		=   processor(images=SCREAMING_SNAKE_CASE_       ,	return_tensors="""np""")

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


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Optional[Any]     		=   self.get_image_processor()
   lowercase__	: List[Any]     		=   self.get_tokenizer()

   lowercase__	: Union[str, Any]     		=   CLIPProcessor(tokenizer=SCREAMING_SNAKE_CASE_       ,	image_processor=SCREAMING_SNAKE_CASE_)

   lowercase__	: str     		=   """lower newer"""

   lowercase__	: int     		=   processor(text=SCREAMING_SNAKE_CASE_)

   lowercase__	: Optional[Any]     		=   tokenizer(SCREAMING_SNAKE_CASE_)

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


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: int     		=   self.get_image_processor()
   lowercase__	: List[Any]     		=   self.get_tokenizer()

   lowercase__	: Tuple     		=   CLIPProcessor(tokenizer=SCREAMING_SNAKE_CASE_       ,	image_processor=SCREAMING_SNAKE_CASE_)

   lowercase__	: Union[str, Any]     		=   """lower newer"""
   lowercase__	: Any     		=   self.prepare_image_inputs()

   lowercase__	: Tuple     		=   processor(text=SCREAMING_SNAKE_CASE_       ,	images=SCREAMING_SNAKE_CASE_)

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

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


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Union[str, Any]     		=   self.get_image_processor()
   lowercase__	: Dict     		=   self.get_tokenizer()

   lowercase__	: str     		=   CLIPProcessor(tokenizer=SCREAMING_SNAKE_CASE_       ,	image_processor=SCREAMING_SNAKE_CASE_)

   lowercase__	: int     		=   [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

   lowercase__	: Union[str, Any]     		=   processor.batch_decode(SCREAMING_SNAKE_CASE_)
   lowercase__	: List[Any]     		=   tokenizer.batch_decode(SCREAMING_SNAKE_CASE_)

   self.assertListEqual(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)



 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Union[str, Any]     		=   self.get_image_processor()
   lowercase__	: int     		=   self.get_tokenizer()

   lowercase__	: Optional[int]     		=   CLIPProcessor(tokenizer=SCREAMING_SNAKE_CASE_       ,	image_processor=SCREAMING_SNAKE_CASE_)

   lowercase__	: Optional[int]     		=   """lower newer"""
   lowercase__	: Tuple     		=   self.prepare_image_inputs()

   lowercase__	: Union[str, Any]     		=   processor(text=SCREAMING_SNAKE_CASE_       ,	images=SCREAMING_SNAKE_CASE_)

   self.assertListEqual(list(inputs.keys())       ,	processor.model_input_names)








from math import ceil, sqrt
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     int = 1_0_0_0_0_0_0				)			->						int:
       SCREAMING_SNAKE_CASE_							:				List[Any]		=0

       for outer_width in range(3			,							(limit // 4) + 2				):
              if outer_width**2 > limit:
                     SCREAMING_SNAKE_CASE_							:				List[str]		=max(ceil(sqrt(outer_width**2 - limit				)				)			,							1				)
              else:
                     SCREAMING_SNAKE_CASE_							:				List[str]		=1
              if (outer_width - hole_width_lower_bound) % 2:
                     hole_width_lower_bound += 1

              answer += (outer_width - hole_width_lower_bound - 2) // 2 + 1

       return answer


if __name__ == "__main__":
 print(F"{solution() = }")
