




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 OwlViTImageProcessor, OwlViTProcessor
@require_vision
class 		UpperCAmelCase   (				unittest.TestCase			):







						'''simple docstring'''





						def        snake_case__						(						self							:     List[Any]						):






							"""simple docstring"""






							snake_case_		    =     tempfile.mkdtemp()

							# fmt: off
							snake_case_		    =     ["", "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
							snake_case_		    =     dict(zip(__lowercase       ,	range(len(__lowercase						)						)						)						)
							snake_case_		    =     ["#version: 0.2", "l o", "lo w</w>", "e r</w>", ""]
							snake_case_		    =     {"unk_token": "<unk>"}

							snake_case_		    =     os.path.join(self.tmpdirname       ,	VOCAB_FILES_NAMES["vocab_file"]						)
							snake_case_		    =     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(__lowercase						) + "\n"						)
							with open(self.merges_file       ,	"w"       ,	encoding="utf-8"						) as fp:
								fp.write("\n".join(__lowercase						)						)

							snake_case_		    =     {
							    "do_resize": True,
							    "size": 20,
							    "do_center_crop": True,
							    "crop_size": 18,
							    "do_normalize": True,
							    "image_mean": [0.4814_5466, 0.457_8275, 0.4082_1073],
							    "image_std": [0.2686_2954, 0.2613_0258, 0.2757_7711],
							}
							snake_case_		    =     os.path.join(self.tmpdirname       ,	__lowercase						)
							with open(self.image_processor_file       ,	"w"       ,	encoding="utf-8"						) as fp:
								json.dump(__lowercase       ,	__lowercase						)






						def        snake_case__						(						self							:     Any       ,	**__lowercase							:     str						):






							"""simple docstring"""






							return CLIPTokenizer.from_pretrained(self.tmpdirname       ,	pad_token="!"       ,	**__lowercase						)






						def        snake_case__						(						self							:     Any       ,	**__lowercase							:     List[Any]						):






							"""simple docstring"""






							return CLIPTokenizerFast.from_pretrained(self.tmpdirname       ,	pad_token="!"       ,	**__lowercase						)






						def        snake_case__						(						self							:     Optional[Any]       ,	**__lowercase							:     Any						):






							"""simple docstring"""






							return OwlViTImageProcessor.from_pretrained(self.tmpdirname       ,	**__lowercase						)






						def        snake_case__						(						self							:     Any						):






							"""simple docstring"""






							shutil.rmtree(self.tmpdirname						)






						def        snake_case__						(						self							:     Optional[int]						):






							"""simple docstring"""






							snake_case_		    =     [np.random.randint(2_55       ,	size=(3, 30, 4_00)       ,	dtype=np.uinta						)]

							snake_case_		    =     [Image.fromarray(np.moveaxis(__lowercase       ,	0       ,	-1						)						) for x in image_inputs]

							return image_inputs






						def        snake_case__						(						self							:     List[str]						):






							"""simple docstring"""






							snake_case_		    =     self.get_tokenizer()
							snake_case_		    =     self.get_rust_tokenizer()
							snake_case_		    =     self.get_image_processor()

							snake_case_		    =     OwlViTProcessor(tokenizer=__lowercase       ,	image_processor=__lowercase						)
							processor_slow.save_pretrained(self.tmpdirname						)
							snake_case_		    =     OwlViTProcessor.from_pretrained(self.tmpdirname       ,	use_fast=__lowercase						)

							snake_case_		    =     OwlViTProcessor(tokenizer=__lowercase       ,	image_processor=__lowercase						)
							processor_fast.save_pretrained(self.tmpdirname						)
							snake_case_		    =     OwlViTProcessor.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       ,	__lowercase						)
							self.assertIsInstance(processor_fast.tokenizer       ,	__lowercase						)

							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       ,	__lowercase						)
							self.assertIsInstance(processor_fast.image_processor       ,	__lowercase						)






						def        snake_case__						(						self							:     Union[str, Any]						):






							"""simple docstring"""






							snake_case_		    =     OwlViTProcessor(tokenizer=self.get_tokenizer()       ,	image_processor=self.get_image_processor()						)
							processor.save_pretrained(self.tmpdirname						)

							snake_case_		    =     self.get_tokenizer(bos_token="(BOS)"       ,	eos_token="(EOS)"						)
							snake_case_		    =     self.get_image_processor(do_normalize=__lowercase						)

							snake_case_		    =     OwlViTProcessor.from_pretrained(
							    self.tmpdirname       ,	bos_token="(BOS)"       ,	eos_token="(EOS)"       ,	do_normalize=__lowercase						)

							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        snake_case__						(						self							:     str						):






							"""simple docstring"""






							snake_case_		    =     self.get_image_processor()
							snake_case_		    =     self.get_tokenizer()

							snake_case_		    =     OwlViTProcessor(tokenizer=__lowercase       ,	image_processor=__lowercase						)

							snake_case_		    =     self.prepare_image_inputs()

							snake_case_		    =     image_processor(__lowercase       ,	return_tensors="np"						)
							snake_case_		    =     processor(images=__lowercase       ,	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        snake_case__						(						self							:     List[Any]						):






							"""simple docstring"""






							snake_case_		    =     self.get_image_processor()
							snake_case_		    =     self.get_tokenizer()

							snake_case_		    =     OwlViTProcessor(tokenizer=__lowercase       ,	image_processor=__lowercase						)

							snake_case_		    =     "lower newer"

							snake_case_		    =     processor(text=__lowercase       ,	return_tensors="np"						)

							snake_case_		    =     tokenizer(__lowercase       ,	return_tensors="np"						)

							for key in encoded_tok.keys():
								self.assertListEqual(encoded_tok[key][0].tolist()       ,	encoded_processor[key][0].tolist()						)






						def        snake_case__						(						self							:     List[str]						):






							"""simple docstring"""






							snake_case_		    =     self.get_image_processor()
							snake_case_		    =     self.get_tokenizer()

							snake_case_		    =     OwlViTProcessor(tokenizer=__lowercase       ,	image_processor=__lowercase						)

							snake_case_		    =     "lower newer"
							snake_case_		    =     self.prepare_image_inputs()

							snake_case_		    =     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        snake_case__						(						self							:     Union[str, Any]						):






							"""simple docstring"""






							snake_case_		    =     "google/owlvit-base-patch32"
							snake_case_		    =     OwlViTProcessor.from_pretrained(__lowercase						)

							snake_case_		    =     ["cat", "nasa badge"]
							snake_case_		    =     processor(text=__lowercase						)

							snake_case_		    =     16
							self.assertListEqual(list(inputs.keys()						)       ,	["input_ids", "attention_mask"]						)
							self.assertEqual(inputs["input_ids"].shape       ,	(2, seq_length)						)

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






						def        snake_case__						(						self							:     Tuple						):






							"""simple docstring"""






							snake_case_		    =     "google/owlvit-base-patch32"
							snake_case_		    =     OwlViTProcessor.from_pretrained(__lowercase						)

							snake_case_		    =     [["cat", "nasa badge"], ["person"]]
							snake_case_		    =     processor(text=__lowercase						)

							snake_case_		    =     16
							snake_case_		    =     len(__lowercase						)
							snake_case_		    =     max([len(__lowercase						) for texts in input_texts]						)

							self.assertListEqual(list(inputs.keys()						)       ,	["input_ids", "attention_mask"]						)
							self.assertEqual(inputs["input_ids"].shape       ,	(batch_size * num_max_text_queries, seq_length)						)

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






						def        snake_case__						(						self							:     int						):






							"""simple docstring"""






							snake_case_		    =     "google/owlvit-base-patch32"
							snake_case_		    =     OwlViTProcessor.from_pretrained(__lowercase						)

							snake_case_		    =     ["cat", "nasa badge"]
							snake_case_		    =     processor(text=__lowercase						)

							snake_case_		    =     16
							snake_case_		    =     inputs["input_ids"]
							snake_case_		    =     [
							    [4_94_06, 23_68, 4_94_07, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
							    [4_94_06, 68_41, 1_13_01, 4_94_07, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
							]

							self.assertListEqual(list(inputs.keys()						)       ,	["input_ids", "attention_mask"]						)
							self.assertEqual(inputs["input_ids"].shape       ,	(2, seq_length)						)
							self.assertListEqual(list(input_ids[0]						)       ,	predicted_ids[0]						)
							self.assertListEqual(list(input_ids[1]						)       ,	predicted_ids[1]						)






						def        snake_case__						(						self							:     Union[str, Any]						):






							"""simple docstring"""






							snake_case_		    =     self.get_image_processor()
							snake_case_		    =     self.get_tokenizer()

							snake_case_		    =     OwlViTProcessor(tokenizer=__lowercase       ,	image_processor=__lowercase						)

							snake_case_		    =     self.prepare_image_inputs()
							snake_case_		    =     self.prepare_image_inputs()

							snake_case_		    =     processor(images=__lowercase       ,	query_images=__lowercase						)

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

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






						def        snake_case__						(						self							:     Optional[Any]						):






							"""simple docstring"""






							snake_case_		    =     self.get_image_processor()
							snake_case_		    =     self.get_tokenizer()

							snake_case_		    =     OwlViTProcessor(tokenizer=__lowercase       ,	image_processor=__lowercase						)

							snake_case_		    =     [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

							snake_case_		    =     processor.batch_decode(__lowercase						)
							snake_case_		    =     tokenizer.batch_decode(__lowercase						)

							self.assertListEqual(__lowercase       ,	__lowercase						)






def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	if num <= 0:
		raise ValueError("Input must be a positive integer"							)

	snake_case_		    =     [True] * (num + 1)

	snake_case_		    =     2
	while p * p <= num:
		if primes[p]:
			for i in range(p * p     ,	num + 1     ,	_A							):
				snake_case_		    =     False
		p += 1

	return [prime for prime in range(2     ,	num + 1							) if primes[prime]]


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		lowercase__				:     Tuple 		=						int(input("Enter a positive integer: ").strip())
		print(prime_sieve_eratosthenes(user_num))
