


'''simple docstring'''
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        lowercase     (							unittest.TestCase ):

		"""simple docstring"""

		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :List[str]							 =			tempfile.mkdtemp()

							# fmt: off
							UpperCamelCase__       :Dict							 =			['''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
							UpperCamelCase__       :Tuple							 =			dict(zip(a_   ,       range(len(a_							)							)							)							)
							UpperCamelCase__       :Any							 =			['''#version: 0.2''', '''l o''', '''lo w</w>''', '''e r</w>''', '''''']
							UpperCamelCase__       :List[Any]							 =			{'''unk_token''': '''<unk>'''}

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

							UpperCamelCase__       :List[str]							 =			{
							    '''do_resize''': True,
							    '''size''': 20,
							    '''do_center_crop''': True,
							    '''crop_size''': 18,
							    '''do_normalize''': True,
							    '''image_mean''': [0.48145466, 0.4578275, 0.40821073],
							    '''image_std''': [0.26862954, 0.26130258, 0.27577711],
							}
							UpperCamelCase__       :Optional[Any]							 =			os.path.join(self.tmpdirname   ,       a_							)
							with open(self.image_processor_file   ,       '''w'''   ,       encoding='''utf-8'''							) as fp:
												json.dump(a_   ,       a_							)




		def    lowerCAmelCase__    (		self   ,       **UpperCamelCase_							):

							'''simple docstring'''


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




		def    lowerCAmelCase__    (		self   ,       **UpperCamelCase_							):

							'''simple docstring'''


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




		def    lowerCAmelCase__    (		self   ,       **UpperCamelCase_							):

							'''simple docstring'''


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




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							shutil.rmtree(self.tmpdirname							)




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :str							 =			[np.random.randint(255   ,       size=(3, 30, 400)   ,       dtype=np.uinta							)]

							UpperCamelCase__       :List[str]							 =			[Image.fromarray(np.moveaxis(a_   ,       0   ,       -1							)							) for x in image_inputs]

							return image_inputs




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Optional[int]							 =			self.get_tokenizer()
							UpperCamelCase__       :List[str]							 =			self.get_rust_tokenizer()
							UpperCamelCase__       :Any							 =			self.get_image_processor()

							UpperCamelCase__       :str							 =			CLIPProcessor(tokenizer=a_   ,       image_processor=a_							)
							processor_slow.save_pretrained(self.tmpdirname							)
							UpperCamelCase__       :Dict							 =			CLIPProcessor.from_pretrained(self.tmpdirname   ,       use_fast=a_							)

							UpperCamelCase__       :Union[str, Any]							 =			CLIPProcessor(tokenizer=a_   ,       image_processor=a_							)
							processor_fast.save_pretrained(self.tmpdirname							)
							UpperCamelCase__       :Optional[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   ,       a_							)
							self.assertIsInstance(processor_fast.tokenizer   ,       a_							)

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




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :int							 =			CLIPProcessor(tokenizer=self.get_tokenizer()   ,       image_processor=self.get_image_processor()							)
							processor.save_pretrained(self.tmpdirname							)

							UpperCamelCase__       :List[str]							 =			self.get_tokenizer(bos_token='''(BOS)'''   ,       eos_token='''(EOS)'''							)
							UpperCamelCase__       :int							 =			self.get_image_processor(do_normalize=a_   ,       padding_value=1.0							)

							UpperCamelCase__       :Optional[Any]							 =			CLIPProcessor.from_pretrained(
							    self.tmpdirname   ,       bos_token='''(BOS)'''   ,       eos_token='''(EOS)'''   ,       do_normalize=a_   ,       padding_value=1.0							)

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

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




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


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

							UpperCamelCase__       :Optional[Any]							 =			CLIPProcessor(tokenizer=a_   ,       image_processor=a_							)

							UpperCamelCase__       :Optional[int]							 =			self.prepare_image_inputs()

							UpperCamelCase__       :Optional[int]							 =			image_processor(a_   ,       return_tensors='''np'''							)
							UpperCamelCase__       :Optional[int]							 =			processor(images=a_   ,       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    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :List[str]							 =			self.get_image_processor()
							UpperCamelCase__       :Union[str, Any]							 =			self.get_tokenizer()

							UpperCamelCase__       :Dict							 =			CLIPProcessor(tokenizer=a_   ,       image_processor=a_							)

							UpperCamelCase__       :Union[str, Any]							 =			'''lower newer'''

							UpperCamelCase__       :Dict							 =			processor(text=a_							)

							UpperCamelCase__       :str							 =			tokenizer(a_							)

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




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :int							 =			self.get_image_processor()
							UpperCamelCase__       :Dict							 =			self.get_tokenizer()

							UpperCamelCase__       :Optional[Any]							 =			CLIPProcessor(tokenizer=a_   ,       image_processor=a_							)

							UpperCamelCase__       :Optional[Any]							 =			'''lower newer'''
							UpperCamelCase__       :str							 =			self.prepare_image_inputs()

							UpperCamelCase__       :Dict							 =			processor(text=a_   ,       images=a_							)

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

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




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Tuple							 =			self.get_image_processor()
							UpperCamelCase__       :Any							 =			self.get_tokenizer()

							UpperCamelCase__       :int							 =			CLIPProcessor(tokenizer=a_   ,       image_processor=a_							)

							UpperCamelCase__       :Any							 =			[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

							UpperCamelCase__       :List[Any]							 =			processor.batch_decode(a_							)
							UpperCamelCase__       :List[str]							 =			tokenizer.batch_decode(a_							)

							self.assertListEqual(a_   ,       a_							)




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Any							 =			self.get_image_processor()
							UpperCamelCase__       :Any							 =			self.get_tokenizer()

							UpperCamelCase__       :Union[str, Any]							 =			CLIPProcessor(tokenizer=a_   ,       image_processor=a_							)

							UpperCamelCase__       :int							 =			'''lower newer'''
							UpperCamelCase__       :Any							 =			self.prepare_image_inputs()

							UpperCamelCase__       :List[str]							 =			processor(text=a_   ,       images=a_							)

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









'''simple docstring'''
from __future__ import annotations

__snake_case											=					[True] * 1000001
__snake_case											=					2
while i * i <= 1000000:
		if seive[i]:
				for j in range(i * i, 1000001, i):
						__snake_case											=					False
		i += 1


def       a				(      __a       )  ->     bool:



					'''simple docstring'''






					return seive[n]


def       a				(      __a       )  ->     bool:



					'''simple docstring'''






					return any(digit in '''02468''' for digit in str(__a       )       )


def       a				(      __a = 1000000       )  ->     list[int]:



					'''simple docstring'''






					UpperCamelCase__       :Any							 =			[2]  # result already includes the number 2.
					for num in range(3			, limit + 1			, 2       ):
										if is_prime(__a       ) and not contains_an_even_digit(__a       ):
															UpperCamelCase__       :str							 =			str(__a       )
															UpperCamelCase__       :List[str]							 =			[int(str_num[j:] + str_num[:j]       ) for j in range(len(__a       )       )]
															if all(is_prime(__a       ) for i in list_nums       ):
																				result.append(__a       )
					return result


def       a				(      )  ->     int:



					'''simple docstring'''






					return len(find_circular_primes()       )


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