
def 				A	( lowercase   ,	lowercase			)       ->  list[int]:
		'''simple docstring'''

		UpperCamelCase          =					int(lowercase			)

		# Initialize Result
		UpperCamelCase          =					[]

		# Traverse through all denomination
		for denomination in reversed(lowercase			):
				# Find denominations
				while int(lowercase			) >= int(lowercase			):
						total_value -= int(lowercase			)
						answer.append(lowercase			)  # Append the "answers" array

		return answer


# Driver Code
if __name__ == "__main__":
					_UpperCAmelCase :			List[Any]              =	[]
					_UpperCAmelCase :			int              =	"0"

					if (
					    input("Do you want to enter your denominations ? (yY/n): ").strip().lower()
					    == "y"
					):
										_UpperCAmelCase :			Any              =	int(input("Enter the number of denominations you want to add: ").strip())

										for i in range(0, n):
															denominations.append(int(input(F'''Denomination {i}: ''').strip()))
										_UpperCAmelCase :			Tuple              =	input("Enter the change you want to make in Indian Currency: ").strip()
					else:
										# All denominations of Indian Currency if user does not enter
										_UpperCAmelCase :			Tuple              =	[1, 2, 5, 10, 20, 50, 100, 500, 2_000]
										_UpperCAmelCase :			int              =	input("Enter the change you want to make: ").strip()

					if int(value) == 0 or int(value) < 0:
										print("The total value cannot be zero or negative.")

					else:
										print(F'''Following is minimal change for {value}: ''')
										_UpperCAmelCase :			str              =	find_minimum_change(denominations, value)
										# Print result
										for i in range(len(answer)):
															print(answer[i], end=" ")


from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
					if not (is_transformers_available() and is_torch_available() and is_transformers_version(">=", "4.25.0")):
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
else:
					from .pipeline_unclip import UnCLIPPipeline
					from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
					from .text_proj import UnCLIPTextProjModel
