



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowercase:					Any      =						{
    "configuration_musicgen": [
        "MUSICGEN_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "MusicgenConfig",
        "MusicgenDecoderConfig",
    ],
    "processing_musicgen": ["MusicgenProcessor"],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_lowercase:					Any      =						[
				    "MUSICGEN_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "MusicgenForConditionalGeneration",
				    "MusicgenForCausalLM",
				    "MusicgenModel",
				    "MusicgenPreTrainedModel",
				]

if TYPE_CHECKING:
				from .configuration_musicgen import (
				    MUSICGEN_PRETRAINED_CONFIG_ARCHIVE_MAP,
				    MusicgenConfig,
				    MusicgenDecoderConfig,
				)
				from .processing_musicgen import MusicgenProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_musicgen import (
								    MUSICGEN_PRETRAINED_MODEL_ARCHIVE_LIST,
								    MusicgenForCausalLM,
								    MusicgenForConditionalGeneration,
								    MusicgenModel,
								    MusicgenPreTrainedModel,
								)

else:
				import sys

				_lowercase:					Union[str, Any]      =						_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





def        a( A			:       int					,	A			:       int					,	A			:       int			)						->			float:
					"""simple docstring"""





					if common_ratio == 1:
										# Formula for sum if common ratio is 1
										return num_of_terms * first_term

					# Formula for finding sum of n terms of a GeometricProgression
					return (first_term / (1 - common_ratio)) * (1 - common_ratio**num_of_terms)
