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cost_2015_variables

Module containing variables for the costs 2015 models

CREATE_DICTS_FROM_DATACLASS = Cost2015Data module-attribute

Cost2015Data dataclass

Dataclass holding cost 2015 variables

Source code in process/data_structure/cost_2015_variables.py 
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@dataclass(slots=True)
class Cost2015Data:
    """Dataclass holding cost 2015 variables"""

    mean_electric_output: float = 0.0

    annual_electric_output: float = 0.0

    maintenance: float = 0.0

    total_costs: float = 0.0

    s_label: list[str] = field(
        default_factory=lambda: np.array(["not used"] * 100, dtype=object)
    )

    s_kref: list[float] = field(default_factory=lambda: np.zeros(100, dtype=np.float64))

    s_k: list[float] = field(default_factory=lambda: np.zeros(100, dtype=np.float64))

    s_cref: list[float] = field(default_factory=lambda: np.zeros(100, dtype=np.float64))

    s_cost: list[float] = field(default_factory=lambda: np.zeros(100, dtype=np.float64))

    s_cost_factor: list[float] = field(
        default_factory=lambda: np.zeros(100, dtype=np.float64)
    )

mean_electric_output = 0.0 class-attribute instance-attribute

annual_electric_output = 0.0 class-attribute instance-attribute

maintenance = 0.0 class-attribute instance-attribute

total_costs = 0.0 class-attribute instance-attribute

s_label = field(default_factory=(lambda: np.array(['not used'] * 100, dtype=object))) class-attribute instance-attribute

s_kref = field(default_factory=(lambda: np.zeros(100, dtype=(np.float64)))) class-attribute instance-attribute

s_k = field(default_factory=(lambda: np.zeros(100, dtype=(np.float64)))) class-attribute instance-attribute

s_cref = field(default_factory=(lambda: np.zeros(100, dtype=(np.float64)))) class-attribute instance-attribute

s_cost = field(default_factory=(lambda: np.zeros(100, dtype=(np.float64)))) class-attribute instance-attribute

s_cost_factor = field(default_factory=(lambda: np.zeros(100, dtype=(np.float64)))) class-attribute instance-attribute