MOVE ZERO TO WK-POS2. PERFORM VARYING WK-POS1 FROM 1 BY 1 UNTIL WK-POS1 > 40 IF WK-EDT-X40(WK-POS1) NOT = CS-半角スペース THEN ADD 1 TO WK-POS2 MOVE WK-EDT-X40(WK-POS1) TO WK-OUT-X40(WK-POS2) ELSE CONTINUE END-IF END-PERFORM. 解释下这段代码
时间: 2023-06-02 11:04:37 浏览: 48
这段代码是一段 COBOL 语言的程序,其功能是将字符串 WK-EDT-X40 中的非空格字符存储到另一个字符串 WK-OUT-X40 中,并在 WK-OUT-X40 中为每一个非空格字符分配一个位置,最终在 WK-POS2 中存储最后一个非空格字符的位置。具体实现方式是使用 PERFORM VARYING 循环来遍历 WK-EDT-X40 中的每一个字符,并通过 IF 语句判断非空格字符,再将其存储到 WK-OUT-X40 中。如果字符为半角空格,则使用 CONTINUE 跳过这一字符。最终得到的 WK-POS2 即为最后一个非空格字符在 WK-OUT-X40 中的位置。
相关问题
Action.move_to_element_with_offset(baidu_logger, -52, -1).perform()
这句代码是使用 Action 驱动模块在 Selenium 中进行操作的一种方法。它会将鼠标移动到元素 baidu_logger 上,并在其上偏移 -52 像素(向左移动)和 -1 像素(向上移动)。perform() 方法会执行预先定义好的操作。
python k.transpose(-2, -1)
In Python, `k.transpose(-2, -1)` means to transpose the second last and last dimensions of tensor `k`. Specifically, if the shape of tensor `k` is `(batch_size, seq_length, hidden_size)`, then `k.transpose(-2, -1)` will return a tensor of shape `(batch_size, hidden_size, seq_length)`. The second last dimension `seq_length` becomes the last dimension of the returned tensor, while the last dimension `hidden_size` becomes the second last dimension of the returned tensor.
This operation is commonly used in deep learning models such as Transformers, where it is used to transpose the attention score matrix so that the rows and columns correspond to the query and key vectors, respectively, making it easier to perform matrix multiplication in subsequent steps.