
'''simple docstring'''
def  __SCREAMING_SNAKE_CASE				(  _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				):
							if not isinstance(_SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				):
														raise ValueError("""iterations must be defined as integers"""				)
							if not isinstance(_SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				) or not number >= 1:
														raise ValueError(
														    """starting number must be
                         and integer and be more than 0"""				)
							if not iterations >= 1:
														raise ValueError("""Iterations must be done more than 0 times to play FizzBuzz"""				)

							_snake_case       =  """"""
							while number <= iterations:
														if number % 3 == 0:
																					out += "Fizz"
														if number % 5 == 0:
																					out += "Buzz"
														if 0 not in (number % 3, number % 5):
																					out += str(_SCREAMING_SNAKE_CASE				)

														# print(out)
														number += 1
														out += " "
							return out


if __name__ == "__main__":
				import doctest

				doctest.testmod()

'''simple docstring'''
from typing import TYPE_CHECKING

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


__lowerCAmelCase												=	{
    'configuration_encodec': [
        'ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'EncodecConfig',
    ],
    'feature_extraction_encodec': ['EncodecFeatureExtractor'],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__lowerCAmelCase												=	[
				    'ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'EncodecModel',
				    'EncodecPreTrainedModel',
				]

if TYPE_CHECKING:
				from .configuration_encodec import (
				    ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP,
				    EncodecConfig,
				)
				from .feature_extraction_encodec import EncodecFeatureExtractor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_encodec import (
								    ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST,
								    EncodecModel,
								    EncodecPreTrainedModel,
								)

else:
				import sys

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