






'''simple docstring'''



from math import sqrt


def 							lowercase_				(    __A :       int			)       ->      bool:



 """simple docstring"""




 assert isinstance(__A					,      __A			) and (
     number >= 0
 ), "'number' must been an int and positive"

 lowercase					:   int				  =True

 # 0 and 1 are none primes.
 if number <= 1:
  lowercase					:   Optional[Any]				  =False

 for divisor in range(2					,      int(round(sqrt(__A			)			)			) + 1			):
  # if 'number' divisible by 'divisor' then sets 'status'
  # of false and break up the loop.
  if number % divisor == 0:
   lowercase					:   Optional[int]				  =False
   break

    # precondition
 assert isinstance(__A					,      __A			), "'status' must been from type bool"

 return status


def 							lowercase_				(    __A :       Tuple			)       ->      int:



 """simple docstring"""




 assert isinstance(__A					,      __A			) and (n > 2), "'N' must been an int and > 2"

 # beginList: contains all natural numbers from 2 up to N
 lowercase					:   Union[str, Any]				  =list(range(2					,      n + 1			)			)

 lowercase					:   str				  =[]  # this list will be returns.

 # actual sieve of erathostenes
 for i in range(len(__A			)			):
  for j in range(i + 1					,      len(__A			)			):
   if (begin_list[i] != 0) and (begin_list[j] % begin_list[i] == 0):
    lowercase					:   str				  =0

    # filters actual prime numbers.
 lowercase					:   List[Any]				  =[x for x in begin_list if x != 0]

 # precondition
 assert isinstance(__A					,      __A			), "'ans' must been from type list"

 return ans


def 							lowercase_				(    __A :       str			)       ->      Dict:



 """simple docstring"""




 assert isinstance(__A					,      __A			) and (n > 2), "'N' must been an int and > 2"

 lowercase					:   Optional[int]				  =[]

 # iterates over all numbers between 2 up to N+1
 # if a number is prime then appends to list 'ans'
 for number in range(2					,      n + 1			):
  if is_prime(__A			):
   ans.append(__A			)

    # precondition
 assert isinstance(__A					,      __A			), "'ans' must been from type list"

 return ans


def 							lowercase_				(    __A :       List[str]			)       ->      Optional[Any]:



 """simple docstring"""




 assert isinstance(__A					,      __A			) and number >= 0, "'number' must been an int and >= 0"

 lowercase					:   Dict				  =[]  # this list will be returns of the function.

 # potential prime number factors.

 lowercase					:   Dict				  =2

 lowercase					:   Tuple				  =number

 if number == 0 or number == 1:
  ans.append(__A			)

 # if 'number' not prime then builds the prime factorization of 'number'
 elif not is_prime(__A			):
  while quotient != 1:
   if is_prime(__A			) and (quotient % factor == 0):
    ans.append(__A			)
    quotient /= factor
   else:
    factor += 1

 else:
  ans.append(__A			)

 # precondition
 assert isinstance(__A					,      __A			), "'ans' must been from type list"

 return ans


def 							lowercase_				(    __A :       Tuple			)       ->      Optional[int]:



 """simple docstring"""




 assert isinstance(__A					,      __A			) and (
     number >= 0
 ), "'number' bust been an int and >= 0"

 lowercase					:   Union[str, Any]				  =0

 # prime factorization of 'number'
 lowercase					:   Optional[Any]				  =prime_factorization(__A			)

 lowercase					:   str				  =max(__A			)

 # precondition
 assert isinstance(__A					,      __A			), "'ans' must been from type int"

 return ans


def 							lowercase_				(    __A :       str			)       ->      str:



 """simple docstring"""




 assert isinstance(__A					,      __A			) and (
     number >= 0
 ), "'number' bust been an int and >= 0"

 lowercase					:   List[Any]				  =0

 # prime factorization of 'number'
 lowercase					:   Tuple				  =prime_factorization(__A			)

 lowercase					:   Tuple				  =min(__A			)

 # precondition
 assert isinstance(__A					,      __A			), "'ans' must been from type int"

 return ans


def 							lowercase_				(    __A :       List[Any]			)       ->      Any:



 """simple docstring"""




 assert isinstance(__A					,      __A			), "'number' must been an int"
 assert isinstance(number % 2 == 0					,      __A			), "compare bust been from type bool"

 return number % 2 == 0


def 							lowercase_				(    __A :       int			)       ->      str:



 """simple docstring"""




 assert isinstance(__A					,      __A			), "'number' must been an int"
 assert isinstance(number % 2 != 0					,      __A			), "compare bust been from type bool"

 return number % 2 != 0


def 							lowercase_				(    __A :       str			)       ->      List[str]:



 """simple docstring"""




 assert (
     isinstance(__A					,      __A			) and (number > 2) and is_even(__A			)
 ), "'number' must been an int, even and > 2"

 lowercase					:   List[Any]				  =[]  # this list will returned

 # creates a list of prime numbers between 2 up to 'number'
 lowercase					:   Any				  =get_prime_numbers(__A			)
 lowercase					:   Tuple				  =len(__A			)

 # run variable for while-loops.
 lowercase					:   str				  =0
 lowercase					:   Dict				  =None

 # exit variable. for break up the loops
 lowercase					:   Any				  =True

 while i < len_pn and loop:
  lowercase					:   int				  =i + 1

  while j < len_pn and loop:
   if prime_numbers[i] + prime_numbers[j] == number:
    lowercase					:   Any				  =False
    ans.append(prime_numbers[i]			)
    ans.append(prime_numbers[j]			)

   j += 1

  i += 1

 # precondition
 assert (
     isinstance(__A					,      __A			)
     and (len(__A			) == 2)
     and (ans[0] + ans[1] == number)
     and is_prime(ans[0]			)
     and is_prime(ans[1]			)
 ), "'ans' must contains two primes. And sum of elements must been eq 'number'"

 return ans


def 							lowercase_				(    __A :       int					,      __A :       Dict			)       ->      str:



 """simple docstring"""




 assert (
     isinstance(__A					,      __A			)
     and isinstance(__A					,      __A			)
     and (numbera >= 0)
     and (numbera >= 0)
 ), "'number1' and 'number2' must been positive integer."

 lowercase					:   List[str]				  =0

 while numbera != 0:
  lowercase					:   int				  =numbera % numbera
  lowercase					:   int				  =numbera
  lowercase					:   Union[str, Any]				  =rest

 # precondition
 assert isinstance(__A					,      __A			) and (
     numbera >= 0
 ), "'number' must been from type int and positive"

 return numbera


def 							lowercase_				(    __A :       Optional[Any]					,      __A :       Any			)       ->      Union[str, Any]:



 """simple docstring"""




 assert (
     isinstance(__A					,      __A			)
     and isinstance(__A					,      __A			)
     and (numbera >= 1)
     and (numbera >= 1)
 ), "'number1' and 'number2' must been positive integer."

 lowercase					:   Optional[int]				  =1  # actual answer that will be return.

 # for kgV (x,1)
 if numbera > 1 and numbera > 1:
  # builds the prime factorization of 'number1' and 'number2'
  lowercase					:   Optional[int]				  =prime_factorization(__A			)
  lowercase					:   Dict				  =prime_factorization(__A			)

 elif numbera == 1 or numbera == 1:
  lowercase					:   List[Any]				  =[]
  lowercase					:   str				  =[]
  lowercase					:   int				  =max(__A					,      __A			)

 lowercase					:   int				  =0
 lowercase					:   Optional[int]				  =0

 lowercase					:   str				  =[]  # captured numbers int both 'primeFac1' and 'primeFac2'

 # iterates through primeFac1
 for n in prime_fac_a:
  if n not in done:
   if n in prime_fac_a:
    lowercase					:   Any				  =prime_fac_a.count(__A			)
    lowercase					:   int				  =prime_fac_a.count(__A			)

    for _ in range(max(__A					,      __A			)			):
     ans *= n

   else:
    lowercase					:   Optional[Any]				  =prime_fac_a.count(__A			)

    for _ in range(__A			):
     ans *= n

   done.append(__A			)

    # iterates through primeFac2
 for n in prime_fac_a:
  if n not in done:
   lowercase					:   Union[str, Any]				  =prime_fac_a.count(__A			)

   for _ in range(__A			):
    ans *= n

   done.append(__A			)

    # precondition
 assert isinstance(__A					,      __A			) and (
     ans >= 0
 ), "'ans' must been from type int and positive"

 return ans


def 							lowercase_				(    __A :       Any			)       ->      Union[str, Any]:



 """simple docstring"""




 assert isinstance(__A					,      __A			) and (n >= 0), "'number' must been a positive int"

 lowercase					:   str				  =0
 lowercase					:   str				  =2  # this variable holds the answer

 while index < n:
  index += 1

  ans += 1  # counts to the next number

  # if ans not prime then
  # runs to the next prime number.
  while not is_prime(__A			):
   ans += 1

    # precondition
 assert isinstance(__A					,      __A			) and is_prime(
     __A			), "'ans' must been a prime number and from type int"

 return ans


def 							lowercase_				(    __A :       Tuple					,      __A :       List[Any]			)       ->      Tuple:



 """simple docstring"""




 assert (
     is_prime(__A			) and is_prime(__A			) and (p_number_a < p_number_a)
 ), "The arguments must been prime numbers and 'pNumber1' < 'pNumber2'"

 lowercase					:   Any				  =p_number_a + 1  # jump to the next number

 lowercase					:   str				  =[]  # this list will be returns.

 # if number is not prime then
 # fetch the next prime number.
 while not is_prime(__A			):
  number += 1

 while number < p_number_a:
  ans.append(__A			)

  number += 1

  # fetch the next prime number.
  while not is_prime(__A			):
   number += 1

    # precondition
 assert (
     isinstance(__A					,      __A			)
     and ans[0] != p_number_a
     and ans[len(__A			) - 1] != p_number_a
 ), "'ans' must been a list without the arguments"

 # 'ans' contains not 'pNumber1' and 'pNumber2' !
 return ans


def 							lowercase_				(    __A :       Union[str, Any]			)       ->      List[Any]:



 """simple docstring"""




 assert isinstance(__A					,      __A			) and (n >= 1), "'n' must been int and >= 1"

 lowercase					:   Union[str, Any]				  =[]  # will be returned.

 for divisor in range(1					,      n + 1			):
  if n % divisor == 0:
   ans.append(__A			)

    # precondition
 assert ans[0] == 1 and ans[len(__A			) - 1] == n, "Error in function getDivisiors(...)"

 return ans


def 							lowercase_				(    __A :       str			)       ->      Any:



 """simple docstring"""




 assert isinstance(__A					,      __A			) and (
     number > 1
 ), "'number' must been an int and >= 1"

 lowercase					:   List[str]				  =get_divisors(__A			)

 # precondition
 assert (
     isinstance(__A					,      __A			)
     and (divisors[0] == 1)
     and (divisors[len(__A			) - 1] == number)
 ), "Error in help-function getDivisiors(...)"

 # summed all divisors up to 'number' (exclusive), hence [:-1]
 return sum(divisors[:-1]			) == number


def 							lowercase_				(    __A :       Dict					,      __A :       List[str]			)       ->      List[Any]:



 """simple docstring"""




 assert (
     isinstance(__A					,      __A			)
     and isinstance(__A					,      __A			)
     and (denominator != 0)
 ), "The arguments must been from type int and 'denominator' != 0"

 # build the greatest common divisor of numerator and denominator.
 lowercase					:   Any				  =gcd(abs(__A			)					,      abs(__A			)			)

 # precondition
 assert (
     isinstance(__A					,      __A			)
     and (numerator % gcd_of_fraction == 0)
     and (denominator % gcd_of_fraction == 0)
 ), "Error in function gcd(...,...)"

 return (numerator // gcd_of_fraction, denominator // gcd_of_fraction)


def 							lowercase_				(    __A :       List[str]			)       ->      Tuple:



 """simple docstring"""




 assert isinstance(__A					,      __A			) and (n >= 0), "'n' must been a int and >= 0"

 lowercase					:   List[str]				  =1  # this will be return.

 for factor in range(1					,      n + 1			):
  ans *= factor

 return ans





def 							lowercase_				(    __A :       Union[str, Any]			)       ->      Optional[int]:



 """simple docstring"""




 assert isinstance(__A					,      __A			) and (n >= 0), "'n' must been an int and >= 0"

 lowercase					:   Union[str, Any]				  =0
 lowercase					:   List[str]				  =1
 lowercase					:   Any				  =1  # this will be return

 for _ in range(n - 1			):
  lowercase					:   str				  =ans
  ans += fiba
  lowercase					:   Tuple				  =tmp

 return ans











'''simple docstring'''



import json
import sys
import tempfile
import unittest
from pathlib import Path

import transformers
from transformers import (
    CONFIG_MAPPING,
    IMAGE_PROCESSOR_MAPPING,
    AutoConfig,
    AutoImageProcessor,
    CLIPConfig,
    CLIPImageProcessor,
)
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER


sys.path.append(str(Path(__file__).parent.parent.parent.parent / 'utils'))

from test_module.custom_configuration import CustomConfig  # noqa E402
from test_module.custom_image_processing import CustomImageProcessor  # noqa E402
class UpperCAmelCase_					(    unittest.TestCase				):




      """simple docstring"""




      def 				A__      ( self			:		int		)  ->  Any:


       '''simple docstring'''

       lowercase					:   Union[str, Any]				  =0






      def 				A__      ( self			:		str		)  ->  Union[str, Any]:


       '''simple docstring'''

       lowercase					:   Tuple				  =AutoImageProcessor.from_pretrained('''openai/clip-vit-base-patch32'''		)
       self.assertIsInstance(UpperCAmelCase     ,      UpperCAmelCase		)






      def 				A__      ( self			:		Any		)  ->  int:


       '''simple docstring'''

       with tempfile.TemporaryDirectory() as tmpdirname:
        lowercase					:   int				  =Path(UpperCAmelCase		) / '''preprocessor_config.json'''
        lowercase					:   str				  =Path(UpperCAmelCase		) / '''config.json'''
        json.dump(
            {'''image_processor_type''': '''CLIPImageProcessor''', '''processor_class''': '''CLIPProcessor'''}     ,      open(UpperCAmelCase     ,      '''w'''		)     ,      )
        json.dump({'''model_type''': '''clip'''}     ,      open(UpperCAmelCase     ,      '''w'''		)		)

        lowercase					:   str				  =AutoImageProcessor.from_pretrained(UpperCAmelCase		)
        self.assertIsInstance(UpperCAmelCase     ,      UpperCAmelCase		)






      def 				A__      ( self			:		Any		)  ->  Union[str, Any]:


       '''simple docstring'''

       with tempfile.TemporaryDirectory() as tmpdirname:
        lowercase					:   int				  =Path(UpperCAmelCase		) / '''preprocessor_config.json'''
        lowercase					:   int				  =Path(UpperCAmelCase		) / '''config.json'''
        json.dump(
            {'''feature_extractor_type''': '''CLIPFeatureExtractor''', '''processor_class''': '''CLIPProcessor'''}     ,      open(UpperCAmelCase     ,      '''w'''		)     ,      )
        json.dump({'''model_type''': '''clip'''}     ,      open(UpperCAmelCase     ,      '''w'''		)		)

        lowercase					:   Optional[Any]				  =AutoImageProcessor.from_pretrained(UpperCAmelCase		)
        self.assertIsInstance(UpperCAmelCase     ,      UpperCAmelCase		)






      def 				A__      ( self			:		Optional[Any]		)  ->  Any:


       '''simple docstring'''

       with tempfile.TemporaryDirectory() as tmpdirname:
        lowercase					:   str				  =CLIPConfig()

        # Create a dummy config file with image_proceesor_type
        lowercase					:   Optional[int]				  =Path(UpperCAmelCase		) / '''preprocessor_config.json'''
        lowercase					:   Optional[Any]				  =Path(UpperCAmelCase		) / '''config.json'''
        json.dump(
            {'''image_processor_type''': '''CLIPImageProcessor''', '''processor_class''': '''CLIPProcessor'''}     ,      open(UpperCAmelCase     ,      '''w'''		)     ,      )
        json.dump({'''model_type''': '''clip'''}     ,      open(UpperCAmelCase     ,      '''w'''		)		)

        # remove image_processor_type to make sure config.json alone is enough to load image processor locally
        lowercase					:   Dict				  =AutoImageProcessor.from_pretrained(UpperCAmelCase		).to_dict()

        config_dict.pop('''image_processor_type'''		)
        lowercase					:   str				  =CLIPImageProcessor(**UpperCAmelCase		)

        # save in new folder
        model_config.save_pretrained(UpperCAmelCase		)
        config.save_pretrained(UpperCAmelCase		)

        lowercase					:   Optional[int]				  =AutoImageProcessor.from_pretrained(UpperCAmelCase		)

        # make sure private variable is not incorrectly saved
        lowercase					:   int				  =json.loads(config.to_json_string()		)
        self.assertTrue('''_processor_class''' not in dict_as_saved		)

       self.assertIsInstance(UpperCAmelCase     ,      UpperCAmelCase		)






      def 				A__      ( self			:		str		)  ->  List[str]:


       '''simple docstring'''

       with tempfile.TemporaryDirectory() as tmpdirname:
        lowercase					:   Dict				  =Path(UpperCAmelCase		) / '''preprocessor_config.json'''
        json.dump(
            {'''image_processor_type''': '''CLIPImageProcessor''', '''processor_class''': '''CLIPProcessor'''}     ,      open(UpperCAmelCase     ,      '''w'''		)     ,      )

        lowercase					:   Optional[Any]				  =AutoImageProcessor.from_pretrained(UpperCAmelCase		)
        self.assertIsInstance(UpperCAmelCase     ,      UpperCAmelCase		)






      def 				A__      ( self			:		int		)  ->  List[str]:


       '''simple docstring'''

       with self.assertRaisesRegex(
           UpperCAmelCase     ,      '''clip-base is not a local folder and is not a valid model identifier'''		):
        lowercase					:   Union[str, Any]				  =AutoImageProcessor.from_pretrained('''clip-base'''		)






      def 				A__      ( self			:		List[Any]		)  ->  List[str]:


       '''simple docstring'''

       with self.assertRaisesRegex(
           UpperCAmelCase     ,      R'''aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'''		):
        lowercase					:   Any				  =AutoImageProcessor.from_pretrained(UpperCAmelCase     ,      revision='''aaaaaa'''		)






      def 				A__      ( self			:		Tuple		)  ->  Optional[int]:


       '''simple docstring'''

       with self.assertRaisesRegex(
           UpperCAmelCase     ,      '''hf-internal-testing/config-no-model does not appear to have a file named preprocessor_config.json.'''     ,      ):
        lowercase					:   Optional[int]				  =AutoImageProcessor.from_pretrained('''hf-internal-testing/config-no-model'''		)






      def 				A__      ( self			:		List[str]		)  ->  str:


       '''simple docstring'''

       with self.assertRaises(UpperCAmelCase		):
        lowercase					:   Dict				  =AutoImageProcessor.from_pretrained('''hf-internal-testing/test_dynamic_image_processor'''		)
       # If remote code is disabled, we can't load this config.
       with self.assertRaises(UpperCAmelCase		):
        lowercase					:   List[str]				  =AutoImageProcessor.from_pretrained(
            '''hf-internal-testing/test_dynamic_image_processor'''     ,      trust_remote_code=UpperCAmelCase		)

       lowercase					:   Union[str, Any]				  =AutoImageProcessor.from_pretrained(
           '''hf-internal-testing/test_dynamic_image_processor'''     ,      trust_remote_code=UpperCAmelCase		)
       self.assertEqual(image_processor.__class__.__name__     ,      '''NewImageProcessor'''		)

       # Test image processor can be reloaded.
       with tempfile.TemporaryDirectory() as tmp_dir:
        image_processor.save_pretrained(UpperCAmelCase		)
        lowercase					:   Any				  =AutoImageProcessor.from_pretrained(UpperCAmelCase     ,      trust_remote_code=UpperCAmelCase		)
       self.assertEqual(reloaded_image_processor.__class__.__name__     ,      '''NewImageProcessor'''		)






      def 				A__      ( self			:		Union[str, Any]		)  ->  Dict:


       '''simple docstring'''

       try:
        AutoConfig.register('''custom'''     ,      UpperCAmelCase		)
        AutoImageProcessor.register(UpperCAmelCase     ,      UpperCAmelCase		)
        # Trying to register something existing in the Transformers library will raise an error
        with self.assertRaises(UpperCAmelCase		):
         AutoImageProcessor.register(UpperCAmelCase     ,      UpperCAmelCase		)

        with tempfile.TemporaryDirectory() as tmpdirname:
         lowercase					:   Any				  =Path(UpperCAmelCase		) / '''preprocessor_config.json'''
         lowercase					:   str				  =Path(UpperCAmelCase		) / '''config.json'''
         json.dump(
             {'''feature_extractor_type''': '''CLIPFeatureExtractor''', '''processor_class''': '''CLIPProcessor'''}     ,      open(UpperCAmelCase     ,      '''w'''		)     ,      )
         json.dump({'''model_type''': '''clip'''}     ,      open(UpperCAmelCase     ,      '''w'''		)		)

         lowercase					:   Optional[int]				  =CustomImageProcessor.from_pretrained(UpperCAmelCase		)

        # Now that the config is registered, it can be used as any other config with the auto-API
        with tempfile.TemporaryDirectory() as tmp_dir:
         image_processor.save_pretrained(UpperCAmelCase		)
         lowercase					:   Dict				  =AutoImageProcessor.from_pretrained(UpperCAmelCase		)
         self.assertIsInstance(UpperCAmelCase     ,      UpperCAmelCase		)

       finally:
        if "custom" in CONFIG_MAPPING._extra_content:
         del CONFIG_MAPPING._extra_content["custom"]
        if CustomConfig in IMAGE_PROCESSOR_MAPPING._extra_content:
         del IMAGE_PROCESSOR_MAPPING._extra_content[CustomConfig]






      def 				A__      ( self			:		Any		)  ->  Any:


       '''simple docstring'''

       class UpperCAmelCase_					(    __A				):




             """simple docstring"""




             UpperCamelCase_								=			True

       try:
        AutoConfig.register('''custom'''     ,      UpperCAmelCase		)
        AutoImageProcessor.register(UpperCAmelCase     ,      UpperCAmelCase		)
        # If remote code is not set, the default is to use local
        lowercase					:   List[str]				  =AutoImageProcessor.from_pretrained('''hf-internal-testing/test_dynamic_image_processor'''		)
        self.assertEqual(image_processor.__class__.__name__     ,      '''NewImageProcessor'''		)
        self.assertTrue(image_processor.is_local		)

        # If remote code is disabled, we load the local one.
        lowercase					:   Tuple				  =AutoImageProcessor.from_pretrained(
            '''hf-internal-testing/test_dynamic_image_processor'''     ,      trust_remote_code=UpperCAmelCase		)
        self.assertEqual(image_processor.__class__.__name__     ,      '''NewImageProcessor'''		)
        self.assertTrue(image_processor.is_local		)

        # If remote is enabled, we load from the Hub
        lowercase					:   Dict				  =AutoImageProcessor.from_pretrained(
            '''hf-internal-testing/test_dynamic_image_processor'''     ,      trust_remote_code=UpperCAmelCase		)
        self.assertEqual(image_processor.__class__.__name__     ,      '''NewImageProcessor'''		)
        self.assertTrue(not hasattr(UpperCAmelCase     ,      '''is_local'''		)		)

       finally:
        if "custom" in CONFIG_MAPPING._extra_content:
         del CONFIG_MAPPING._extra_content["custom"]
        if CustomConfig in IMAGE_PROCESSOR_MAPPING._extra_content:
         del IMAGE_PROCESSOR_MAPPING._extra_content[CustomConfig]



