



import functools



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_						,  SCREAMING_SNAKE_CASE_  ):

   # Validation
   if not isinstance(_lowerCamelCase						,  _lowerCamelCase  ) or not all(isinstance(_lowerCamelCase						,  _lowerCamelCase  ) for day in days  ):
      raise ValueError("The parameter days should be a list of integers"  )

   if len(_lowerCamelCase  ) != 3 or not all(isinstance(_lowerCamelCase						,  _lowerCamelCase  ) for cost in costs  ):
      raise ValueError("The parameter costs should be a list of three integers"  )

   if len(_lowerCamelCase  ) == 0:
      return 0

   if min(_lowerCamelCase  ) <= 0:
      raise ValueError("All days elements should be greater than 0"  )

   if max(_lowerCamelCase  ) >= 366:
      raise ValueError("All days elements should be less than 366"  )

   lowercase__					  =				set(_lowerCamelCase  )

   @functools.cache
   def dynamic_programming(SCREAMING_SNAKE_CASE_  ) -> int:
      if index > 365:
         return 0

      if index not in days_set:
         return dynamic_programming(index + 1  )

      return min(
          costs[0] + dynamic_programming(index + 1  )						,  costs[1] + dynamic_programming(index + 7  )						,  costs[2] + dynamic_programming(index + 30  )						,  )

   return dynamic_programming(1  )


if __name__ == "__main__":
       import doctest

       doctest.testmod()









# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase_								=     {
    """configuration_xmod""": [
        """XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """XmodConfig""",
        """XmodOnnxConfig""",
    ],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowercase_								=     [
							    """XMOD_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """XmodForCausalLM""",
							    """XmodForMaskedLM""",
							    """XmodForMultipleChoice""",
							    """XmodForQuestionAnswering""",
							    """XmodForSequenceClassification""",
							    """XmodForTokenClassification""",
							    """XmodModel""",
							    """XmodPreTrainedModel""",
							]

if TYPE_CHECKING:
							from .configuration_xmod import XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP, XmodConfig, XmodOnnxConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_xmod import (
														    XMOD_PRETRAINED_MODEL_ARCHIVE_LIST,
														    XmodForCausalLM,
														    XmodForMaskedLM,
														    XmodForMultipleChoice,
														    XmodForQuestionAnswering,
														    XmodForSequenceClassification,
														    XmodForTokenClassification,
														    XmodModel,
														    XmodPreTrainedModel,
														)

else:
							import sys

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




