




def 			_a   (		SCREAMING_SNAKE_CASE_							:       list[int]   ,   SCREAMING_SNAKE_CASE_							:       str  ):
					__lowerCAmelCase            = int(snake_case__  )

					# Initialize Result
					__lowerCAmelCase            = []

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

					return answer


# Driver Code
if __name__ == "__main__":
					UpperCamelCase__					    =    []
					UpperCamelCase__					    =    """0"""

					if (
					    input("""Do you want to enter your denominations ? (yY/n): """).strip().lower()
					    == "y"
					):
										UpperCamelCase__					    =    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__					    =    input("""Enter the change you want to make in Indian Currency: """).strip()
					else:
										# All denominations of Indian Currency if user does not enter
										UpperCamelCase__					    =    [1, 2, 5, 10, 20, 50, 100, 500, 2000]
										UpperCamelCase__					    =    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__					    =    find_minimum_change(denominations, value)
										# Print result
										for i in range(len(answer)):
															print(answer[i], end=""" """)










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


UpperCamelCase__					    =    {
    """configuration_ctrl""": ["""CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CTRLConfig"""],
    """tokenization_ctrl""": ["""CTRLTokenizer"""],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCamelCase__					    =    [
					    """CTRL_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """CTRLForSequenceClassification""",
					    """CTRLLMHeadModel""",
					    """CTRLModel""",
					    """CTRLPreTrainedModel""",
					]

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCamelCase__					    =    [
					    """TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """TFCTRLForSequenceClassification""",
					    """TFCTRLLMHeadModel""",
					    """TFCTRLModel""",
					    """TFCTRLPreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_ctrl import CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP, CTRLConfig
					from .tokenization_ctrl import CTRLTokenizer

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_ctrl import (
										    CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
										    CTRLForSequenceClassification,
										    CTRLLMHeadModel,
										    CTRLModel,
										    CTRLPreTrainedModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_ctrl import (
										    TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TFCTRLForSequenceClassification,
										    TFCTRLLMHeadModel,
										    TFCTRLModel,
										    TFCTRLPreTrainedModel,
										)

else:
					import sys

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




