Inputs

投入

Op Input

运算输入

Here you can connect an geometry or the input of a Matrix Op Node in order to move, scale or rotate each individual distribution point. This can be useful if you only want to output matrices with the Distribution Op Node to which another geometry should be attached, e.g., using a Matrix Op Node. The geometry of the geometry connected at the Op Input will remain hidden.

在这里你可以连接一个几何体或矩阵运算节点的输入，以便移动，缩放或旋转每个单独的分布点。如果您只希望输出带有分布运算节点的矩阵，而另一个几何图形应该附加到这个分布运算节点上，例如，使用矩阵运算节点，那么这可能是有用的。在运算输入连接的几何体的几何体将保持隐藏。

The second option can be used to directly connect the geometry to be duplicated at the Op Input and can be passed into the scene using the Op Output.

第二个选项可以用来直接连接在 Op 输入处复制的几何图形，并且可以使用 Op 输出传递到场景中。

Distribution Type
Parameters

分布类型参数

Here you can select the desired order and distribution type for the matrices. The available modes can also be found as individual Nodes in the Distribution group and are described in detail there.

这里您可以为矩阵选择所需的顺序和分布类型。可用的模式也可以作为分发组中的单个节点找到，并在其中详细描述。

Outputs

产出

Op Output

运算输出

This output encompasses numerous additional outputs that can, for example, be used to generate matrices whose Index or Ratio values can be accessed. The most important outputs are:

这个输出包含许多额外的输出，例如，这些输出可用于生成索引值或比率值可以访问的矩阵。最重要的产出是:

• Matrix 矩阵: The matrices of the calculated distribution points will be output successively. If this input is linked with a Matrix Op and an object is also connected there, this geometry will automatically be cloned onto the distribution points. 计算出的分布点矩阵将依次输出。如果这个输入连接到一个 Matrix Op，并且一个对象也连接到那里，这个几何图形将自动克隆到分布点上
• Index 索引: Each distribution point is assigned a unique number, whereby the count will start at 0 for the first distribution point. : 为每个分发点分配一个唯一的数字，对于第一个分发点，计数从0开始
• Ratio 比率: This output defines the position of each matrix within the distribution as a value between 0.0 and 1.0. Imagine, for example, a linear distribution and the Ratio value for the first matrix is 0.0, and the last is 1.0. The matrices along the line will be assigned intermediate values according to their position. Since 2D and 3D distributions exist, the data type for Ratio can differ from case to case. For a grid you will, for example, receive a vector for which the individual components each define the position of each matrix within the distribution cube with values between 0.0 and 1.0 for each direction. : 此输出将每个矩阵在分布中的位置定义为介于0.0和1.0之间的值。例如，假设一个线性分布，第一个矩阵的比值为0.0，最后一个矩阵的比值为1.0。直线上的矩阵将根据它们的位置被赋予中间值。由于二维和三维分布的存在，比率的数据类型可能因情况而异。例如，对于一个网格，您将接收到一个向量，其中每个单独的组件定义每个矩阵在分布立方体中的位置，每个方向的值在0.0到1.0之间
• Arrays 数组: This is in principle a collection of the aforementioned information as an Array. You can, for example, output this Array with an Array Set Node where you will receive the respective information for the matrices, indices and Ratio values. The difference is that an Array is not made available as a continuous output of values but as a data packet. This makes it possible, for example, to output only some of the indices. * 这原则上是上述信息的集合，即数组。例如，您可以用 Array Set Node 输出这个 Array，在这里您将收到矩阵、索引和 Ratio 值的相应信息。区别在于 Array 不是作为值的连续输出而是作为数据包可用。例如，这使得仅输出某些指数成为可能