
"""simple docstring"""


from __future__ import annotations






def  lowercase						(	lowerCAmelCase__	,lowerCAmelCase__	,lowerCAmelCase__						):
			if days_between_payments <= 0:
						raise ValueError('''days_between_payments must be > 0'''						)
			if daily_interest_rate < 0:
						raise ValueError('''daily_interest_rate must be >= 0'''						)
			if principal <= 0:
						raise ValueError('''principal must be > 0'''						)
			return principal * daily_interest_rate * days_between_payments






def  lowercase						(	lowerCAmelCase__	,lowerCAmelCase__	,lowerCAmelCase__	,):
			if number_of_compounding_periods <= 0:
						raise ValueError('''number_of_compounding_periods must be > 0'''						)
			if nominal_annual_interest_rate_percentage < 0:
						raise ValueError('''nominal_annual_interest_rate_percentage must be >= 0'''						)
			if principal <= 0:
						raise ValueError('''principal must be > 0'''						)

			return principal * (
			    (1 + nominal_annual_interest_rate_percentage) ** number_of_compounding_periods
			    - 1
			)






def  lowercase						(	lowerCAmelCase__	,lowerCAmelCase__	,lowerCAmelCase__	,):
			if number_of_years <= 0:
						raise ValueError('''number_of_years must be > 0'''						)
			if nominal_annual_percentage_rate < 0:
						raise ValueError('''nominal_annual_percentage_rate must be >= 0'''						)
			if principal <= 0:
						raise ValueError('''principal must be > 0'''						)

			return compound_interest(
			    lowerCAmelCase__	,nominal_annual_percentage_rate / 365	,number_of_years * 365						)


if __name__ == "__main__":
						import doctest

						doctest.testmod()





"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowercase				 =					{
    '''configuration_xlm_roberta_xl''': [
        '''XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''XLMRobertaXLConfig''',
        '''XLMRobertaXLOnnxConfig''',
    ],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_lowercase				 =					[
		    '''XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''XLMRobertaXLForCausalLM''',
		    '''XLMRobertaXLForMaskedLM''',
		    '''XLMRobertaXLForMultipleChoice''',
		    '''XLMRobertaXLForQuestionAnswering''',
		    '''XLMRobertaXLForSequenceClassification''',
		    '''XLMRobertaXLForTokenClassification''',
		    '''XLMRobertaXLModel''',
		    '''XLMRobertaXLPreTrainedModel''',
		]

if TYPE_CHECKING:
		from .configuration_xlm_roberta_xl import (
		    XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    XLMRobertaXLConfig,
		    XLMRobertaXLOnnxConfig,
		)

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_xlm_roberta_xl import (
				    XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
				    XLMRobertaXLForCausalLM,
				    XLMRobertaXLForMaskedLM,
				    XLMRobertaXLForMultipleChoice,
				    XLMRobertaXLForQuestionAnswering,
				    XLMRobertaXLForSequenceClassification,
				    XLMRobertaXLForTokenClassification,
				    XLMRobertaXLModel,
				    XLMRobertaXLPreTrainedModel,
				)

else:
		import sys

		_lowercase				 =					_LazyModule(__name__, globals()['''__file__'''], _import_structure)