ht1480 发表于 2022-8-2 09:57:57

为什么没有进位了???



搞不懂在编辑器里运行下来没有进位,一行行运行也没进位
命令行里单独去运算又进位了
其他的图运行都良好,今天突然间发现这个不进位了
data:image/png;base64,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
data:image/png;base64,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
(defun C:33 (/ SS S1 Q1 D Q2 Q3)
(setq ss (entsel "\n选择多段线: "))
(setq s1 (car ss));SS为entsel多线段
(command "area" "e" s1)
(setq q1 (getvar "area"))
(setq d (getpoint "\n 请点取面积所放的位置:"))
(setq q2 (* (/ q1 6000) 9))
(setq q1 (rtos q1 2 2))
(setq q2 (rtos q2 2 3))
(setq q3 (strcat "地块面积S=" q1 "平方米 合" q2 "亩"))
(entmake (list '(0 . "TEXT")(cons 1 Q3)(cons 10 d)(cons 40 1)(cons 62 3)(cons 7 "宋体")))
)

llsheng_73 发表于 2022-8-3 08:46:58

本帖最后由 llsheng_73 于 2022-8-3 08:51 编辑

ht1480 发表于 2022-8-2 16:54
后面我是直接画一个1米宽,不同长度的长方形来测试的。没有解决掉
暂时不找原因了,感谢大家!耽误大家 ...
_$ (setq real 35.2950)
35.295
_$ (rtos real 2 2)
"35.30"
_$ (setq real(- 35.2950 1e-5))
35.295
_$ real
35.295
_$ (rtos real 2 2)
"35.29"


(defun myrtos2(real n / a)
(setvar'dimzin 0)
(rtos(+ real(/ 0.5(expt 10(1+ n))))2 n))

自贡黄明儒 发表于 2022-8-2 10:06:55

本帖最后由 自贡黄明儒 于 2022-8-2 10:09 编辑

rtos是有一个变量控制的



;;162.2 [功能] 保留小数位数(四舍五入)
;|(rtos 数 mode 小数位数)
mode
1Scientific
2Decimal
3Engineering (feet and decimal inches)
4Architectural (feet and fractional inches)
5Fractional
|;
;;示例1 保留一位小数,四舍五入(HH:rtosr1 2.555 1);"2.6"
;;示例2 取整数,四舍五入(read(HH:rtosr1 215.46 0)),返回215
;;示例3 十位数,四舍五入(* (read(HH:rtosr1 (/ 215.46 10) 0)) 10),返回220
;;示例4 保留一位小数,四舍五入(read(HH:rtosr1 215.46 1)),返回215.5
(defun HH:rtosr1 (RealNum n / DIMZIN1 SHORTREAL1)
(setq DimZin1 (getvar "DIMZIN"))
(setvar "DIMZIN" 0)
(setq ShortReal1 (rtos RealNum 2 n))
(setvar "DIMZIN" DimZin1)
ShortReal1
)

ht1480 发表于 2022-8-2 10:07:39

本帖最后由 ht1480 于 2022-8-2 10:43 编辑

截图放在此处了
懂的,有时间的帮忙解答一下

ht1480 发表于 2022-8-2 10:26:15

自贡黄明儒 发表于 2022-8-2 10:06
rtos是有一个变量控制的




感谢老师抽空解惑

ht1480 发表于 2022-8-2 10:58:39

自贡黄明儒 发表于 2022-8-2 10:06
rtos是有一个变量控制的




系统参数都看了,都是初始值。同一幅图里面29.1278的线出来的是29.13
35.2950出来的是35.29
99.9450出来的是99.94
26.8290出来的是26.83
38.8859出来的是38.89
感觉这个逢5不进位啊

ht1480 发表于 2022-8-2 11:55:32

ht1480 发表于 2022-8-2 10:58
系统参数都看了,都是初始值。同一幅图里面29.1278的线出来的是29.13
35.2950出来的是35.29
99.9450出 ...

整懵了
1.9450进位了
99.9450却不进位
1.2750,1.2650,1.2651,1.2652全都进位,1.2950又不进
排查了和前后奇偶性的关系

自贡黄明儒 发表于 2022-8-2 12:02:11

本帖最后由 自贡黄明儒 于 2022-8-2 12:05 编辑

“四舍五入”.进一的概率为5/9
奇进偶不进,就是解决这种情况.实际上就是“四舍六入”.当末尾为5时,看5前面一位,奇进偶不进
举例子说明如下:
奇进偶不进,就像1.25,因为2是偶数,所以是1.2。又像1.35,因为3是奇数,所以是1.4

ht1480 发表于 2022-8-2 12:11:58

自贡黄明儒 发表于 2022-8-2 12:02
“四舍五入”.进一的概率为5/9
奇进偶不进,就是解决这种情况.实际上就是“四舍六入”.当末尾为5时,看5前面 ...

1.9450进位了,99.9450没有进
2.9450不进,3.9450也不进
我试了一堆的数,真没有发现是奇进偶不进。我们有个标注程序是奇进偶不进。那个我知道

llsheng_73 发表于 2022-8-2 14:26:37

ht1480 发表于 2022-8-2 10:58
系统参数都看了,都是初始值。同一幅图里面29.1278的线出来的是29.13
35.2950出来的是35.29
99.9450出 ...

大概率是实数精度问题,看着是99.9450,实际可以能是99.944999999999,那么它确实不应该进位

ht1480 发表于 2022-8-2 16:54:38

llsheng_73 发表于 2022-8-2 14:26
大概率是实数精度问题,看着是99.9450,实际可以能是99.944999999999,那么它确实不应该进位

后面我是直接画一个1米宽,不同长度的长方形来测试的。没有解决掉
暂时不找原因了,感谢大家!耽误大家宝贵时间了
页: [1] 2
查看完整版本: 为什么没有进位了???