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valuation

BlockModelEvaluator

二次封装块段模型评估与储量计算相关函数 提供距离幂估值、克里格估值、储量计算等功能

Source code in dimine_python_sdk\lib\prospecting\valuation.py 
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class BlockModelEvaluator:
    """
    二次封装块段模型评估与储量计算相关函数
    提供距离幂估值、克里格估值、储量计算等功能
    """

    @staticmethod
    def distance_power_evaluation(
        block_model_file: str,
        constraint_params: BlockModelConstraint,
        evaluation_params: BlockModelDistancePowerParams,
        overwrite_result: bool = True
    ) -> Tuple[bool, str]:
        """
        距离幂估值计算
        :param block_model_file: 块段模型文件路径
        :param constraint_params: 约束条件参数（字典）
        :param evaluation_params: 估值计算参数（字典）
        :param overwrite_result: 是否覆盖已有结果
        :return: (是否成功, 结果信息)

        example:
        ```python
        success, message = BlockModelEvaluator.distance_power_evaluation(
            "model.dmf",
            constraint_params,
            evaluation_params
        )
        ```
        """
        # 将参数序列化为JSON字符串
        constraint_json = json.dumps(constraint_params.to_dict(), ensure_ascii=False)
        evaluation_json = json.dumps(evaluation_params.to_dict(), ensure_ascii=False)

        b_res, message = Dm.DistancePowerEvaluationValue(
            block_model_file,
            constraint_json,
            evaluation_json,
            overwrite_result
        )
        return b_res, message

    @staticmethod
    def kriging_evaluation(
        block_model_file: str,
        constraint_params: BlockModelConstraint,
        evaluation_params: BlockModelKrigingParams,
        overwrite_result: bool = True
    ) -> Tuple[bool, str]:
        """
        克里格估值计算
        :param block_model_file: 块段模型文件路径
        :param constraint_params: 约束条件参数
        :param evaluation_params: 估值计算参数
        :param overwrite_result: 是否覆盖已有结果
        :return: (是否成功, 结果信息)

        example:
        ```python
        success, message = BlockModelEvaluator.kriging_evaluation(
            "model.dmf",
            constraint_params,
            evaluation_params
        )
        ```
        """
        constraint_json = json.dumps(constraint_params.to_dict(), ensure_ascii=False)
        evaluation_json = json.dumps(evaluation_params.to_dict(), ensure_ascii=False)
        b_res, message = Dm.KrigEvaluationValue(
            block_model_file,
            constraint_json,
            evaluation_json,
            overwrite_result
        )
        return b_res, message

    @staticmethod
    def calculate_reserves(
        block_model_file: str,
        constraint_params: BlockModelConstraint,
        reserve_params: ReservesCalculateParam
    ) -> Tuple[bool, str]:
        """
        储量计算
        :param block_model_file: 块段模型文件路径
        :param constraint_params: 约束条件参数（字典）
        :param reserve_params: 储量计算参数（字典）
        :return: (是否成功, 结果信息)

        example:
        ```python
        success, message = BlockModelEvaluator.calculate_reserves(
            "model.dmf",
            constraint_params,
            reserve_params
        )
        ```
        """
        constraint_json = json.dumps(constraint_params.to_dict(), ensure_ascii=False)
        reserve_json = json.dumps(reserve_params.to_dict(), ensure_ascii=False)

        b_res, message = Dm.ReservesCalculate(
            block_model_file,
            constraint_json,
            reserve_json
        )
        return b_res, message

calculate_reserves(block_model_file, constraint_params, reserve_params) staticmethod

储量计算 :param block_model_file: 块段模型文件路径 :param constraint_params: 约束条件参数（字典） :param reserve_params: 储量计算参数（字典） :return: (是否成功, 结果信息)

example:

success, message = BlockModelEvaluator.calculate_reserves(
    "model.dmf",
    constraint_params,
    reserve_params
)
Source code in dimine_python_sdk\lib\prospecting\valuation.py 
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@staticmethod
def calculate_reserves(
    block_model_file: str,
    constraint_params: BlockModelConstraint,
    reserve_params: ReservesCalculateParam
) -> Tuple[bool, str]:
    """
    储量计算
    :param block_model_file: 块段模型文件路径
    :param constraint_params: 约束条件参数（字典）
    :param reserve_params: 储量计算参数（字典）
    :return: (是否成功, 结果信息)

    example:
    ```python
    success, message = BlockModelEvaluator.calculate_reserves(
        "model.dmf",
        constraint_params,
        reserve_params
    )
    ```
    """
    constraint_json = json.dumps(constraint_params.to_dict(), ensure_ascii=False)
    reserve_json = json.dumps(reserve_params.to_dict(), ensure_ascii=False)

    b_res, message = Dm.ReservesCalculate(
        block_model_file,
        constraint_json,
        reserve_json
    )
    return b_res, message

distance_power_evaluation(block_model_file, constraint_params, evaluation_params, overwrite_result=True) staticmethod

距离幂估值计算 :param block_model_file: 块段模型文件路径 :param constraint_params: 约束条件参数（字典） :param evaluation_params: 估值计算参数（字典） :param overwrite_result: 是否覆盖已有结果 :return: (是否成功, 结果信息)

example:

success, message = BlockModelEvaluator.distance_power_evaluation(
    "model.dmf",
    constraint_params,
    evaluation_params
)
Source code in dimine_python_sdk\lib\prospecting\valuation.py 
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@staticmethod
def distance_power_evaluation(
    block_model_file: str,
    constraint_params: BlockModelConstraint,
    evaluation_params: BlockModelDistancePowerParams,
    overwrite_result: bool = True
) -> Tuple[bool, str]:
    """
    距离幂估值计算
    :param block_model_file: 块段模型文件路径
    :param constraint_params: 约束条件参数（字典）
    :param evaluation_params: 估值计算参数（字典）
    :param overwrite_result: 是否覆盖已有结果
    :return: (是否成功, 结果信息)

    example:
    ```python
    success, message = BlockModelEvaluator.distance_power_evaluation(
        "model.dmf",
        constraint_params,
        evaluation_params
    )
    ```
    """
    # 将参数序列化为JSON字符串
    constraint_json = json.dumps(constraint_params.to_dict(), ensure_ascii=False)
    evaluation_json = json.dumps(evaluation_params.to_dict(), ensure_ascii=False)

    b_res, message = Dm.DistancePowerEvaluationValue(
        block_model_file,
        constraint_json,
        evaluation_json,
        overwrite_result
    )
    return b_res, message

kriging_evaluation(block_model_file, constraint_params, evaluation_params, overwrite_result=True) staticmethod

克里格估值计算 :param block_model_file: 块段模型文件路径 :param constraint_params: 约束条件参数 :param evaluation_params: 估值计算参数 :param overwrite_result: 是否覆盖已有结果 :return: (是否成功, 结果信息)

example:

success, message = BlockModelEvaluator.kriging_evaluation(
    "model.dmf",
    constraint_params,
    evaluation_params
)
Source code in dimine_python_sdk\lib\prospecting\valuation.py 
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@staticmethod
def kriging_evaluation(
    block_model_file: str,
    constraint_params: BlockModelConstraint,
    evaluation_params: BlockModelKrigingParams,
    overwrite_result: bool = True
) -> Tuple[bool, str]:
    """
    克里格估值计算
    :param block_model_file: 块段模型文件路径
    :param constraint_params: 约束条件参数
    :param evaluation_params: 估值计算参数
    :param overwrite_result: 是否覆盖已有结果
    :return: (是否成功, 结果信息)

    example:
    ```python
    success, message = BlockModelEvaluator.kriging_evaluation(
        "model.dmf",
        constraint_params,
        evaluation_params
    )
    ```
    """
    constraint_json = json.dumps(constraint_params.to_dict(), ensure_ascii=False)
    evaluation_json = json.dumps(evaluation_params.to_dict(), ensure_ascii=False)
    b_res, message = Dm.KrigEvaluationValue(
        block_model_file,
        constraint_json,
        evaluation_json,
        overwrite_result
    )
    return b_res, message