





_SCREAMING_SNAKE_CASE   						=		(1, 1_53, 3_70, 3_71, 16_34, 24_67_80_51, 1_15_13_22_19_01_87_63_99_25_65_09_55_97_97_39_71_52_24_01)
_SCREAMING_SNAKE_CASE   						=		(-1_53, -1, 0, 1.2, 2_00, "A", [], {}, None)


def 				SCREAMING_SNAKE_CASE__    (     __a ):
	if not isinstance(__a ,			__a ) or n < 1:
		return False

	# Initialization of sum and number of digits.
	snake_case_		:      Optional[Any]           =						0
	snake_case_		:      Dict           =						0
	snake_case_		:      Dict           =						n
	# Calculation of digits of the number
	while temp > 0:
		number_of_digits += 1
		temp //= 10
	# Dividing number into separate digits and find Armstrong number
	snake_case_		:      Optional[int]           =						n
	while temp > 0:
		snake_case_		:      Optional[Any]           =						temp % 10
		total += rem**number_of_digits
		temp //= 10
	return n == total


def 				SCREAMING_SNAKE_CASE__    (     __a ):
	if not isinstance(__a ,			__a ) or n < 1:
		return False

	# Init a "histogram" of the digits
	snake_case_		:      Optional[int]           =						[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
	snake_case_		:      Dict           =						0
	snake_case_		:      Dict           =						0
	snake_case_		:      Tuple           =						n
	while temp > 0:
		snake_case_    ,snake_case_		:      List[Any]           =						divmod(__a ,			10 )
		digit_histogram[rem] += 1
		digit_total += 1

	for cnt, i in zip(__a ,			range(len(__a ) ) ):
		total += cnt * i**digit_total

	return n == total


def 				SCREAMING_SNAKE_CASE__    (     __a ):
	if not isinstance(__a ,			__a ) or n < 1:
		return False
	snake_case_		:      str           =						len(str(__a ) )  # the power that all digits will be raised to
	# check if sum of each digit multiplied expo times is equal to number
	return n == sum(int(__a ) ** expo for i in str(__a ) )


def 				SCREAMING_SNAKE_CASE__    (     ):
	snake_case_		:      int           =						int(input('Enter an integer to see if it is an Armstrong number: ' ).strip() )
	print(f"""{num} is {'' if armstrong_number(__a ) else 'not '}an Armstrong number.""" )
	print(f"""{num} is {'' if narcissistic_number(__a ) else 'not '}an Armstrong number.""" )
	print(f"""{num} is {'' if pluperfect_number(__a ) else 'not '}an Armstrong number.""" )


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						main()


"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


SCREAMING_SNAKE_CASE__       =	{
    "configuration_marian": ["MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP", "MarianConfig", "MarianOnnxConfig"],
}

try:
					if not is_sentencepiece_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE__       =	["MarianTokenizer"]

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE__       =	[
					    "MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "MarianForCausalLM",
					    "MarianModel",
					    "MarianMTModel",
					    "MarianPreTrainedModel",
					]

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE__       =	["TFMarianModel", "TFMarianMTModel", "TFMarianPreTrainedModel"]

try:
					if not is_flax_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE__       =	["FlaxMarianModel", "FlaxMarianMTModel", "FlaxMarianPreTrainedModel"]

if TYPE_CHECKING:
					from .configuration_marian import MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP, MarianConfig, MarianOnnxConfig

					try:
										if not is_sentencepiece_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_marian import MarianTokenizer

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_marian import (
										    MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST,
										    MarianForCausalLM,
										    MarianModel,
										    MarianMTModel,
										    MarianPreTrainedModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel

					try:
										if not is_flax_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_flax_marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel

else:
					import sys

					SCREAMING_SNAKE_CASE__       =	_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


