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model_func

ThModelFunc

模型工具函数 Python 二次封装类 底层直接调用源扩展接口，提供静态工具方法

Source code in dimine_python_sdk\lib\algorithm\model_func.py 
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class ThModelFunc:
    """
    模型工具函数 Python 二次封装类
    底层直接调用源扩展接口，提供静态工具方法
    """

    @staticmethod
    def distance(point_a: DmDPoint, point_b: DmDPoint) -> float:
        """
        计算两点间距离
        :param point_a: 点A对象
        :param point_b: 点B对象
        :return: 两点间距离（浮点数）

        example:
        ```python
        point_a = DmDPoint(0, 0, 0)
        point_b = DmDPoint(1, 1, 1)
        distance = ThModelFunc.distance(point_a, point_b)
        print(distance)  # 输出: 1.7320508075688772
        ```
        """
        return Dm.thModelFunc.Distance(point_a._obj, point_b._obj)

    @staticmethod
    def calculate_min_rectangle_2d(point_set: list[DmDPoint],d_bounds: list[float]) -> list[DmDPoint]:
        """
        计算点集的最小外接矩形
        :param point_set: 点集列表
        :param d_bounds: 包围盒
        :return: 最小外接矩形的4个角点列表

        example:
        ```python
        point_set = [DmDPoint(0, 0, 0), DmDPoint(1, 0, 0), DmDPoint(0, 1, 0), DmDPoint(1, 1, 0)]
        d_bounds = [0, 1, 0, 1, 0, 1]
        min_rect = ThModelFunc.calculate_min_rectangle_2d(point_set, d_bounds)
        print(min_rect)  # 输出: [DmDPoint(0, 0, 0), DmDPoint(1, 0, 0), DmDPoint(0, 1, 0), DmDPoint(1, 1, 0)]
        ```
        """
        cpp_points = [p._obj for p in point_set]
        cpp_result = Dm.thModelFunc.CalcultateMinRectangle2D(cpp_points,d_bounds)
        return [DmDPoint._from_obj(p) for p in cpp_result]

    @staticmethod
    def cross(vector1: DmDPoint, vector2: DmDPoint) -> DmDPoint:
        """
        计算两个向量的叉积
        :param vector1: 向量1
        :param vector2: 向量2
        :return: 叉积结果向量

        example:
        ```python
        vector1 = DmDPoint(1, 0, 0)
        vector2 = DmDPoint(0, 1, 0)
        cross_product = ThModelFunc.cross(vector1, vector2)
        print(cross_product)  # 输出: DmDPoint(0, 0, 1)
        ```
        """
        cpp_result = Dm.thModelFunc.Cross(vector1._obj, vector2._obj)
        return DmDPoint._from_obj(cpp_result)

    @staticmethod
    def compute_bounds(point_set: list[DmDPoint]) -> list[float]:
        """
        计算点集的边界范围
        :param point_set: 点集列表
        :return: 边界参数列表（6个值）

        example:
        ```python
        point_set = [DmDPoint(0, 0, 0), DmDPoint(1, 0, 0), DmDPoint(0, 1, 0), DmDPoint(1, 1, 0)]
        bounds = ThModelFunc.compute_bounds(point_set)
        print(bounds)  # 输出: [0.0, 1.0, 0.0, 1.0, 0.0, 1.0]
        ```
        """
        cpp_points = [p._obj for p in point_set]
        return Dm.thModelFunc.ComputeBounds(cpp_points)

    @staticmethod
    def cut_model_data(input_data: DmPolyData, origin: DmDPoint, normal: DmDPoint,output_data: DmPolyData,num:int = 1,dist:float = 0) -> int:
        """
        裁剪模型数据
        :param input_data: 输入模型数据
        :param origin: 裁剪平面原点
        :param normal: 裁剪平面法向量
        :param output_data: 返回值
        :param num: 切面个数
        :param dist: 切面距离
        :return: 1成功 0失败

        example:
        ```python
        input_data = DmPolyData()
        origin = DmDPoint(0, 0, 0)
        normal = DmDPoint(0, 0, 1)
        output_data = DmPolyData()
        result = ThModelFunc.cut_model_data(input_data, origin, normal,output_data)
        print(result)  # 输出: 1
        ```
        """
        result = Dm.thModelFunc.CutModelData(input_data._obj, origin._obj, normal._obj,output_data._obj, num, dist)
        if result != 1:
            raise ValueError(f"模型切割失败，底层返回结果码：{result}")
        return result

    @staticmethod
    def project_point_on_plane(origin: DmDPoint, normal: DmDPoint, point: DmDPoint) -> int:
        """
        将点投影到平面上
        :param origin: 平面原点
        :param normal: 平面法向量
        :param point: 待投影点
        :return: 1成功,0失败

        example:
        ```python
        origin = DmDPoint(0, 0, 0)
        normal = DmDPoint(0, 0, 1)
        point = DmDPoint(1, 1, 1)
        result = ThModelFunc.project_point_on_plane(origin, normal, point)
        print(result)  # 输出: 1
        ```
        """
        print(point._obj)
        result = Dm.thModelFunc.ProjectPointsOnPlane(origin._obj, normal._obj, point._obj)
        print(point._obj)
        if result != 1:
            raise ValueError(f"投影失败，底层返回结果码：{result}")
        return result

    @staticmethod
    def line_x_polyline(start: DmDPoint, end: DmDPoint, point_set: list[DmDPoint], tolerance: float) -> list[DmDPoint]:
        """
        计算线段与多段线的交点
        :param start: 线段起点
        :param end: 线段终点
        :param point_set: 多段线点集
        :param tolerance: 容差
        :return: 交点列表

        example:
        ```python
        start = DmDPoint(0, 0, 0)
        end = DmDPoint(1, 1, 1)
        point_set = [DmDPoint(0, 0, 0), DmDPoint(1, 0, 0), DmDPoint(0, 1, 0), DmDPoint(1, 1, 0)]
        tolerance = 0.01
        intersections = ThModelFunc.line_x_polyline(start, end, point_set, tolerance)
        print(intersections)  # 输出: [DmDPoint(0.5, 0.5, 0.0)]
        ```
        """
        cpp_points = [p._obj for p in point_set]
        cpp_result = Dm.thModelFunc.LineXPolyline(start._obj, end._obj, cpp_points, tolerance)
        return [DmDPoint._from_obj(p) for p in cpp_result]

    @staticmethod
    def compute_normal(point_set: list[DmDPoint]) -> DmDPoint:
        """
        计算点集的法向量
        :param point_set: 点集列表
        :return: 法向量

        example:
        ```python
        point_set = [DmDPoint(0, 0, 0), DmDPoint(1, 0, 0), DmDPoint(0, 1, 0)]
        normal = ThModelFunc.compute_normal(point_set)
        print(normal)  # 输出: DmDPoint(0.0, 0.0, 1.0)
        ```
        """
        cpp_points = [p._obj for p in point_set]
        cpp_result = Dm.thModelFunc.ComputeNormal(cpp_points)
        return DmDPoint._from_obj(cpp_result)

calculate_min_rectangle_2d(point_set, d_bounds) staticmethod

计算点集的最小外接矩形 :param point_set: 点集列表 :param d_bounds: 包围盒 :return: 最小外接矩形的4个角点列表

example:

point_set = [DmDPoint(0, 0, 0), DmDPoint(1, 0, 0), DmDPoint(0, 1, 0), DmDPoint(1, 1, 0)]
d_bounds = [0, 1, 0, 1, 0, 1]
min_rect = ThModelFunc.calculate_min_rectangle_2d(point_set, d_bounds)
print(min_rect)  # 输出: [DmDPoint(0, 0, 0), DmDPoint(1, 0, 0), DmDPoint(0, 1, 0), DmDPoint(1, 1, 0)]
Source code in dimine_python_sdk\lib\algorithm\model_func.py 
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@staticmethod
def calculate_min_rectangle_2d(point_set: list[DmDPoint],d_bounds: list[float]) -> list[DmDPoint]:
    """
    计算点集的最小外接矩形
    :param point_set: 点集列表
    :param d_bounds: 包围盒
    :return: 最小外接矩形的4个角点列表

    example:
    ```python
    point_set = [DmDPoint(0, 0, 0), DmDPoint(1, 0, 0), DmDPoint(0, 1, 0), DmDPoint(1, 1, 0)]
    d_bounds = [0, 1, 0, 1, 0, 1]
    min_rect = ThModelFunc.calculate_min_rectangle_2d(point_set, d_bounds)
    print(min_rect)  # 输出: [DmDPoint(0, 0, 0), DmDPoint(1, 0, 0), DmDPoint(0, 1, 0), DmDPoint(1, 1, 0)]
    ```
    """
    cpp_points = [p._obj for p in point_set]
    cpp_result = Dm.thModelFunc.CalcultateMinRectangle2D(cpp_points,d_bounds)
    return [DmDPoint._from_obj(p) for p in cpp_result]

compute_bounds(point_set) staticmethod

计算点集的边界范围 :param point_set: 点集列表 :return: 边界参数列表（6个值）

example:

point_set = [DmDPoint(0, 0, 0), DmDPoint(1, 0, 0), DmDPoint(0, 1, 0), DmDPoint(1, 1, 0)]
bounds = ThModelFunc.compute_bounds(point_set)
print(bounds)  # 输出: [0.0, 1.0, 0.0, 1.0, 0.0, 1.0]
Source code in dimine_python_sdk\lib\algorithm\model_func.py 
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@staticmethod
def compute_bounds(point_set: list[DmDPoint]) -> list[float]:
    """
    计算点集的边界范围
    :param point_set: 点集列表
    :return: 边界参数列表（6个值）

    example:
    ```python
    point_set = [DmDPoint(0, 0, 0), DmDPoint(1, 0, 0), DmDPoint(0, 1, 0), DmDPoint(1, 1, 0)]
    bounds = ThModelFunc.compute_bounds(point_set)
    print(bounds)  # 输出: [0.0, 1.0, 0.0, 1.0, 0.0, 1.0]
    ```
    """
    cpp_points = [p._obj for p in point_set]
    return Dm.thModelFunc.ComputeBounds(cpp_points)

compute_normal(point_set) staticmethod

计算点集的法向量 :param point_set: 点集列表 :return: 法向量

example:

point_set = [DmDPoint(0, 0, 0), DmDPoint(1, 0, 0), DmDPoint(0, 1, 0)]
normal = ThModelFunc.compute_normal(point_set)
print(normal)  # 输出: DmDPoint(0.0, 0.0, 1.0)
Source code in dimine_python_sdk\lib\algorithm\model_func.py 
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@staticmethod
def compute_normal(point_set: list[DmDPoint]) -> DmDPoint:
    """
    计算点集的法向量
    :param point_set: 点集列表
    :return: 法向量

    example:
    ```python
    point_set = [DmDPoint(0, 0, 0), DmDPoint(1, 0, 0), DmDPoint(0, 1, 0)]
    normal = ThModelFunc.compute_normal(point_set)
    print(normal)  # 输出: DmDPoint(0.0, 0.0, 1.0)
    ```
    """
    cpp_points = [p._obj for p in point_set]
    cpp_result = Dm.thModelFunc.ComputeNormal(cpp_points)
    return DmDPoint._from_obj(cpp_result)

cross(vector1, vector2) staticmethod

计算两个向量的叉积 :param vector1: 向量1 :param vector2: 向量2 :return: 叉积结果向量

example:

vector1 = DmDPoint(1, 0, 0)
vector2 = DmDPoint(0, 1, 0)
cross_product = ThModelFunc.cross(vector1, vector2)
print(cross_product)  # 输出: DmDPoint(0, 0, 1)
Source code in dimine_python_sdk\lib\algorithm\model_func.py 
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@staticmethod
def cross(vector1: DmDPoint, vector2: DmDPoint) -> DmDPoint:
    """
    计算两个向量的叉积
    :param vector1: 向量1
    :param vector2: 向量2
    :return: 叉积结果向量

    example:
    ```python
    vector1 = DmDPoint(1, 0, 0)
    vector2 = DmDPoint(0, 1, 0)
    cross_product = ThModelFunc.cross(vector1, vector2)
    print(cross_product)  # 输出: DmDPoint(0, 0, 1)
    ```
    """
    cpp_result = Dm.thModelFunc.Cross(vector1._obj, vector2._obj)
    return DmDPoint._from_obj(cpp_result)

cut_model_data(input_data, origin, normal, output_data, num=1, dist=0) staticmethod

裁剪模型数据 :param input_data: 输入模型数据 :param origin: 裁剪平面原点 :param normal: 裁剪平面法向量 :param output_data: 返回值 :param num: 切面个数 :param dist: 切面距离 :return: 1成功 0失败

example:

input_data = DmPolyData()
origin = DmDPoint(0, 0, 0)
normal = DmDPoint(0, 0, 1)
output_data = DmPolyData()
result = ThModelFunc.cut_model_data(input_data, origin, normal,output_data)
print(result)  # 输出: 1
Source code in dimine_python_sdk\lib\algorithm\model_func.py 
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@staticmethod
def cut_model_data(input_data: DmPolyData, origin: DmDPoint, normal: DmDPoint,output_data: DmPolyData,num:int = 1,dist:float = 0) -> int:
    """
    裁剪模型数据
    :param input_data: 输入模型数据
    :param origin: 裁剪平面原点
    :param normal: 裁剪平面法向量
    :param output_data: 返回值
    :param num: 切面个数
    :param dist: 切面距离
    :return: 1成功 0失败

    example:
    ```python
    input_data = DmPolyData()
    origin = DmDPoint(0, 0, 0)
    normal = DmDPoint(0, 0, 1)
    output_data = DmPolyData()
    result = ThModelFunc.cut_model_data(input_data, origin, normal,output_data)
    print(result)  # 输出: 1
    ```
    """
    result = Dm.thModelFunc.CutModelData(input_data._obj, origin._obj, normal._obj,output_data._obj, num, dist)
    if result != 1:
        raise ValueError(f"模型切割失败，底层返回结果码：{result}")
    return result

distance(point_a, point_b) staticmethod

计算两点间距离 :param point_a: 点A对象 :param point_b: 点B对象 :return: 两点间距离（浮点数）

example:

point_a = DmDPoint(0, 0, 0)
point_b = DmDPoint(1, 1, 1)
distance = ThModelFunc.distance(point_a, point_b)
print(distance)  # 输出: 1.7320508075688772
Source code in dimine_python_sdk\lib\algorithm\model_func.py 
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@staticmethod
def distance(point_a: DmDPoint, point_b: DmDPoint) -> float:
    """
    计算两点间距离
    :param point_a: 点A对象
    :param point_b: 点B对象
    :return: 两点间距离（浮点数）

    example:
    ```python
    point_a = DmDPoint(0, 0, 0)
    point_b = DmDPoint(1, 1, 1)
    distance = ThModelFunc.distance(point_a, point_b)
    print(distance)  # 输出: 1.7320508075688772
    ```
    """
    return Dm.thModelFunc.Distance(point_a._obj, point_b._obj)

line_x_polyline(start, end, point_set, tolerance) staticmethod

计算线段与多段线的交点 :param start: 线段起点 :param end: 线段终点 :param point_set: 多段线点集 :param tolerance: 容差 :return: 交点列表

example:

start = DmDPoint(0, 0, 0)
end = DmDPoint(1, 1, 1)
point_set = [DmDPoint(0, 0, 0), DmDPoint(1, 0, 0), DmDPoint(0, 1, 0), DmDPoint(1, 1, 0)]
tolerance = 0.01
intersections = ThModelFunc.line_x_polyline(start, end, point_set, tolerance)
print(intersections)  # 输出: [DmDPoint(0.5, 0.5, 0.0)]
Source code in dimine_python_sdk\lib\algorithm\model_func.py 
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@staticmethod
def line_x_polyline(start: DmDPoint, end: DmDPoint, point_set: list[DmDPoint], tolerance: float) -> list[DmDPoint]:
    """
    计算线段与多段线的交点
    :param start: 线段起点
    :param end: 线段终点
    :param point_set: 多段线点集
    :param tolerance: 容差
    :return: 交点列表

    example:
    ```python
    start = DmDPoint(0, 0, 0)
    end = DmDPoint(1, 1, 1)
    point_set = [DmDPoint(0, 0, 0), DmDPoint(1, 0, 0), DmDPoint(0, 1, 0), DmDPoint(1, 1, 0)]
    tolerance = 0.01
    intersections = ThModelFunc.line_x_polyline(start, end, point_set, tolerance)
    print(intersections)  # 输出: [DmDPoint(0.5, 0.5, 0.0)]
    ```
    """
    cpp_points = [p._obj for p in point_set]
    cpp_result = Dm.thModelFunc.LineXPolyline(start._obj, end._obj, cpp_points, tolerance)
    return [DmDPoint._from_obj(p) for p in cpp_result]

project_point_on_plane(origin, normal, point) staticmethod

将点投影到平面上 :param origin: 平面原点 :param normal: 平面法向量 :param point: 待投影点 :return: 1成功,0失败

example:

origin = DmDPoint(0, 0, 0)
normal = DmDPoint(0, 0, 1)
point = DmDPoint(1, 1, 1)
result = ThModelFunc.project_point_on_plane(origin, normal, point)
print(result)  # 输出: 1
Source code in dimine_python_sdk\lib\algorithm\model_func.py 
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@staticmethod
def project_point_on_plane(origin: DmDPoint, normal: DmDPoint, point: DmDPoint) -> int:
    """
    将点投影到平面上
    :param origin: 平面原点
    :param normal: 平面法向量
    :param point: 待投影点
    :return: 1成功,0失败

    example:
    ```python
    origin = DmDPoint(0, 0, 0)
    normal = DmDPoint(0, 0, 1)
    point = DmDPoint(1, 1, 1)
    result = ThModelFunc.project_point_on_plane(origin, normal, point)
    print(result)  # 输出: 1
    ```
    """
    print(point._obj)
    result = Dm.thModelFunc.ProjectPointsOnPlane(origin._obj, normal._obj, point._obj)
    print(point._obj)
    if result != 1:
        raise ValueError(f"投影失败，底层返回结果码：{result}")
    return result

TwModelFunc

点集处理工具类（Python风格二次封装）

Source code in dimine_python_sdk\lib\algorithm\model_func.py 
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class TwModelFunc:
    """点集处理工具类（Python风格二次封装）"""
    @staticmethod
    def sort_points(base_point: DmDPoint,points: list[DmDPoint]) -> list[DmDPoint]:
        """
        根据点集和基点的距离按从小到大进行排列，并清除重复点
        :param base_point: 基准点，计算距离的中心
        :param points: 待排序的点集列表
        :return: 排序并去重后的点集

        example:
        ```python
        base_point = DmDPoint(0, 0, 0)
        points = [DmDPoint(1, 0, 0), DmDPoint(0, 1, 0), DmDPoint(0, 0, 1)]
        sorted_points = TwModelFunc.sort_points(base_point, points)
        print(sorted_points)  # 输出: [DmDPoint(0.0, 0.0, 1.0), DmDPoint(0.0, 1.0, 0.0), DmDPoint(1.0, 0.0, 0.0)]
        ```
        """
        cpp_points = [p._obj for p in points]
        sorted_points = Dm.PointSetSort(base_point._obj, cpp_points)
        return [DmDPoint._from_obj(p) for p in sorted_points]

    @staticmethod
    def calculate_theat_phi_psi(vector: DmDPoint,use_radians: bool = True) -> dict:
        """
        这里的倾角定义为与 xy 平面的夹角
        计算向量的方位角、倾角和长度
        :param vector: 输入向量
        :param use_radians: 是否返回弧度（默认返回角度）
        :return: 包含 'azimuth', 'dip'的字典

        example:
        ```python
        vector = DmDPoint(1, 1, 1)
        result = TwModelFunc.calculate_theat_phi_psi(vector,False)
        print(result)  # 输出: {'azimuth': 45.0, 'dip': 35.264389682754654}
        ```
        """
        result = Dm.twModelFunc.CalculateTheatPhiPsi(vector._obj, use_radians)
        return result

calculate_theat_phi_psi(vector, use_radians=True) staticmethod

这里的倾角定义为与 xy 平面的夹角 计算向量的方位角、倾角和长度 :param vector: 输入向量 :param use_radians: 是否返回弧度（默认返回角度） :return: 包含 'azimuth', 'dip'的字典

example:

vector = DmDPoint(1, 1, 1)
result = TwModelFunc.calculate_theat_phi_psi(vector,False)
print(result)  # 输出: {'azimuth': 45.0, 'dip': 35.264389682754654}
Source code in dimine_python_sdk\lib\algorithm\model_func.py 
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@staticmethod
def calculate_theat_phi_psi(vector: DmDPoint,use_radians: bool = True) -> dict:
    """
    这里的倾角定义为与 xy 平面的夹角
    计算向量的方位角、倾角和长度
    :param vector: 输入向量
    :param use_radians: 是否返回弧度（默认返回角度）
    :return: 包含 'azimuth', 'dip'的字典

    example:
    ```python
    vector = DmDPoint(1, 1, 1)
    result = TwModelFunc.calculate_theat_phi_psi(vector,False)
    print(result)  # 输出: {'azimuth': 45.0, 'dip': 35.264389682754654}
    ```
    """
    result = Dm.twModelFunc.CalculateTheatPhiPsi(vector._obj, use_radians)
    return result

sort_points(base_point, points) staticmethod

根据点集和基点的距离按从小到大进行排列，并清除重复点 :param base_point: 基准点，计算距离的中心 :param points: 待排序的点集列表 :return: 排序并去重后的点集

example:

base_point = DmDPoint(0, 0, 0)
points = [DmDPoint(1, 0, 0), DmDPoint(0, 1, 0), DmDPoint(0, 0, 1)]
sorted_points = TwModelFunc.sort_points(base_point, points)
print(sorted_points)  # 输出: [DmDPoint(0.0, 0.0, 1.0), DmDPoint(0.0, 1.0, 0.0), DmDPoint(1.0, 0.0, 0.0)]
Source code in dimine_python_sdk\lib\algorithm\model_func.py 
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@staticmethod
def sort_points(base_point: DmDPoint,points: list[DmDPoint]) -> list[DmDPoint]:
    """
    根据点集和基点的距离按从小到大进行排列，并清除重复点
    :param base_point: 基准点，计算距离的中心
    :param points: 待排序的点集列表
    :return: 排序并去重后的点集

    example:
    ```python
    base_point = DmDPoint(0, 0, 0)
    points = [DmDPoint(1, 0, 0), DmDPoint(0, 1, 0), DmDPoint(0, 0, 1)]
    sorted_points = TwModelFunc.sort_points(base_point, points)
    print(sorted_points)  # 输出: [DmDPoint(0.0, 0.0, 1.0), DmDPoint(0.0, 1.0, 0.0), DmDPoint(1.0, 0.0, 0.0)]
    ```
    """
    cpp_points = [p._obj for p in points]
    sorted_points = Dm.PointSetSort(base_point._obj, cpp_points)
    return [DmDPoint._from_obj(p) for p in sorted_points]