
"""simple docstring"""




from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCAmelCase__      :    int    							= logging.get_logger(__name__)

UpperCAmelCase__      :    Optional[int]    							= {
    'google/mobilenet_v2_1.4_224': 'https://huggingface.co/google/mobilenet_v2_1.4_224/resolve/main/config.json',
    'google/mobilenet_v2_1.0_224': 'https://huggingface.co/google/mobilenet_v2_1.0_224/resolve/main/config.json',
    'google/mobilenet_v2_0.75_160': 'https://huggingface.co/google/mobilenet_v2_0.75_160/resolve/main/config.json',
    'google/mobilenet_v2_0.35_96': 'https://huggingface.co/google/mobilenet_v2_0.35_96/resolve/main/config.json',
    # See all MobileNetV2 models at https://huggingface.co/models?filter=mobilenet_v2
}



class 	lowerCAmelCase_						(a__  ):


				"""simple docstring"""



				__UpperCamelCase      :						Optional[Any]					       =   '''mobilenet_v2'''



				def __init__(self   ,       SCREAMING_SNAKE_CASE__=3   ,       SCREAMING_SNAKE_CASE__=2_24   ,       SCREAMING_SNAKE_CASE__=1.0   ,       SCREAMING_SNAKE_CASE__=8   ,       SCREAMING_SNAKE_CASE__=8   ,       SCREAMING_SNAKE_CASE__=6   ,       SCREAMING_SNAKE_CASE__=32   ,       SCREAMING_SNAKE_CASE__=True   ,       SCREAMING_SNAKE_CASE__=True   ,       SCREAMING_SNAKE_CASE__="relu6"   ,       SCREAMING_SNAKE_CASE__=True   ,       SCREAMING_SNAKE_CASE__=0.8   ,       SCREAMING_SNAKE_CASE__=0.02   ,       SCREAMING_SNAKE_CASE__=0.001   ,       SCREAMING_SNAKE_CASE__=2_55   ,       **SCREAMING_SNAKE_CASE__   ,       )					->		Dict:



											"""simple docstring"""




											super().__init__(**SCREAMING_SNAKE_CASE__    )

											if depth_multiplier <= 0:
																		raise ValueError("""depth_multiplier must be greater than zero."""    )

											SCREAMING_SNAKE_CASE__						:       Optional[Any]           =   num_channels
											SCREAMING_SNAKE_CASE__						:       Tuple           =   image_size
											SCREAMING_SNAKE_CASE__						:       List[str]           =   depth_multiplier
											SCREAMING_SNAKE_CASE__						:       Tuple           =   depth_divisible_by
											SCREAMING_SNAKE_CASE__						:       Tuple           =   min_depth
											SCREAMING_SNAKE_CASE__						:       List[str]           =   expand_ratio
											SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   output_stride
											SCREAMING_SNAKE_CASE__						:       List[Any]           =   first_layer_is_expansion
											SCREAMING_SNAKE_CASE__						:       int           =   finegrained_output
											SCREAMING_SNAKE_CASE__						:       Any           =   hidden_act
											SCREAMING_SNAKE_CASE__						:       Tuple           =   tf_padding
											SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   classifier_dropout_prob
											SCREAMING_SNAKE_CASE__						:       Tuple           =   initializer_range
											SCREAMING_SNAKE_CASE__						:       List[str]           =   layer_norm_eps
											SCREAMING_SNAKE_CASE__						:       Optional[int]           =   semantic_loss_ignore_index






class 	lowerCAmelCase_						(a__  ):


				"""simple docstring"""



				__UpperCamelCase      :						List[str]					       =   version.parse('''1.11'''  )



				@property
				def 	__magic_name__    (self    )					->		Mapping[str, Mapping[int, str]]:



											"""simple docstring"""




											return OrderedDict([("""pixel_values""", {0: """batch"""})]    )



				@property
				def 	__magic_name__    (self    )					->		Mapping[str, Mapping[int, str]]:



											"""simple docstring"""




											if self.task == "image-classification":
																		return OrderedDict([("""logits""", {0: """batch"""})]    )
											else:
																		return OrderedDict([("""last_hidden_state""", {0: """batch"""}), ("""pooler_output""", {0: """batch"""})]    )



				@property
				def 	__magic_name__    (self    )					->		float:



											"""simple docstring"""




											return 1E-4






"""simple docstring"""




import math
import unittest

def lowercase_  (   _snake_case						):
							assert isinstance(_snake_case   ,_snake_case						) and (
							    number >= 0
							), "'number' must been an int and positive"

							if 1 < number < 4:
														# 2 and 3 are primes
														return True
							elif number < 2 or number % 2 == 0 or number % 3 == 0:
														# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
														return False

							# All primes number are in format of 6k +/- 1
							for i in range(5   ,int(math.sqrt(_snake_case						) + 1						)   ,6						):
														if number % i == 0 or number % (i + 2) == 0:
																					return False
							return True



class 	lowerCAmelCase_						(unittest.TestCase  ):


				"""simple docstring"""



				def 	__magic_name__    (self    )					->		Dict:



											"""simple docstring"""




											self.assertTrue(is_prime(2    )    )
											self.assertTrue(is_prime(3    )    )
											self.assertTrue(is_prime(5    )    )
											self.assertTrue(is_prime(7    )    )
											self.assertTrue(is_prime(11    )    )
											self.assertTrue(is_prime(13    )    )
											self.assertTrue(is_prime(17    )    )
											self.assertTrue(is_prime(19    )    )
											self.assertTrue(is_prime(23    )    )
											self.assertTrue(is_prime(29    )    )



				def 	__magic_name__    (self    )					->		List[Any]:



											"""simple docstring"""




											with self.assertRaises(SCREAMING_SNAKE_CASE__    ):
																		is_prime(-19    )
											self.assertFalse(
											    is_prime(0    )   ,       """Zero doesn't have any positive factors, primes must have exactly two."""   ,       )
											self.assertFalse(
											    is_prime(1    )   ,       """One only has 1 positive factor, primes must have exactly two."""   ,       )
											self.assertFalse(is_prime(2 * 2    )    )
											self.assertFalse(is_prime(2 * 3    )    )
											self.assertFalse(is_prime(3 * 3    )    )
											self.assertFalse(is_prime(3 * 5    )    )
											self.assertFalse(is_prime(3 * 5 * 7    )    )


if __name__ == "__main__":
					unittest.main()




