


"""simple docstring"""






# Function to print upper half of diamond (pyramid)


def __lowercase     (      lowerCamelCase_  :      Optional[int]  ):
				for i in range(0						,					lowerCamelCase_  ):
								for _ in range(0						,					n - i - 1  ):  # printing spaces
												print(" "						,					end=""  )
								for _ in range(0						,					i + 1  ):  # printing stars
												print("* "						,					end=""  )
								print()


def __lowercase     (      lowerCamelCase_  :      List[Any]  ):
				for i in range(lowerCamelCase_						,					0						,					-1  ):
								for _ in range(lowerCamelCase_						,					0						,					-1  ):  # printing stars
												print("* "						,					end=""  )
								print()
								for _ in range(n - i + 1						,					0						,					-1  ):  # printing spaces
												print(" "						,					end=""  )


def __lowercase     (      lowerCamelCase_  :      int  ):
				if n <= 0:
								print("       ...       ....        nothing printing :("  )
								return
				floyd(lowerCamelCase_  )  # upper half
				reverse_floyd(lowerCamelCase_  )  # lower half


if __name__ == "__main__":
	print(R'| /\ | |- |  |-  |--| |\  /| |-')
	print(R'|/  \| |- |_ |_  |__| | \/ | |_')
	_lowerCamelCase     =  1
	while K:
		_lowerCamelCase     =  int(input('enter the number and , and see the magic : '))
		print()
		pretty_print(user_number)
		_lowerCamelCase     =  int(input('press 0 to exit... and 1 to continue...'))

	print('Good Bye...')




"""simple docstring"""






from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowerCamelCase     =  {
    'configuration_autoformer': [
        'AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'AutoformerConfig',
    ],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowerCamelCase     =  [
	    'AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'AutoformerForPrediction',
	    'AutoformerModel',
	    'AutoformerPreTrainedModel',
	]


if TYPE_CHECKING:
	from .configuration_autoformer import (
	    AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    AutoformerConfig,
	)

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_autoformer import (
		    AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    AutoformerForPrediction,
		    AutoformerModel,
		    AutoformerPreTrainedModel,
		)

else:
	import sys

	_lowerCamelCase     =  _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
