
# Function to print upper half of diamond (pyramid)



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



def   __lowerCAmelCase    (				UpperCAmelCase__					:   int							)	->     str:
							for i in range(UpperCAmelCase__      ,					0      ,					-1							):
														for _ in range(UpperCAmelCase__      ,					0      ,					-1							):  # printing stars
																					print("""* """      ,					end=""""""							)
														print()
														for _ in range(n - i + 1      ,					0      ,					-1							):  # printing spaces
																					print(""" """      ,					end=""""""							)



def   __lowerCAmelCase    (				UpperCAmelCase__					:   Optional[int]							)	->     Dict:
							if n <= 0:
														print("""       ...       ....        nothing printing :("""							)
														return
							floyd(UpperCAmelCase__							)  # upper half
							reverse_floyd(UpperCAmelCase__							)  # lower half


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

		print('''Good Bye...''')







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


lowercase   =	{
    '''configuration_layoutlmv2''': ['''LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''LayoutLMv2Config'''],
    '''processing_layoutlmv2''': ['''LayoutLMv2Processor'''],
    '''tokenization_layoutlmv2''': ['''LayoutLMv2Tokenizer'''],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase   =	['''LayoutLMv2TokenizerFast''']

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase   =	['''LayoutLMv2FeatureExtractor''']
		lowercase   =	['''LayoutLMv2ImageProcessor''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase   =	[
		    '''LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''LayoutLMv2ForQuestionAnswering''',
		    '''LayoutLMv2ForSequenceClassification''',
		    '''LayoutLMv2ForTokenClassification''',
		    '''LayoutLMv2Layer''',
		    '''LayoutLMv2Model''',
		    '''LayoutLMv2PreTrainedModel''',
		]

if TYPE_CHECKING:
		from .configuration_layoutlmva import LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMvaConfig
		from .processing_layoutlmva import LayoutLMvaProcessor
		from .tokenization_layoutlmva import LayoutLMvaTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_layoutlmva_fast import LayoutLMvaTokenizerFast

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_layoutlmva import LayoutLMvaFeatureExtractor, LayoutLMvaImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_layoutlmva import (
				    LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST,
				    LayoutLMvaForQuestionAnswering,
				    LayoutLMvaForSequenceClassification,
				    LayoutLMvaForTokenClassification,
				    LayoutLMvaLayer,
				    LayoutLMvaModel,
				    LayoutLMvaPreTrainedModel,
				)
else:
		import sys

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





