where CONV(left(dci.device_code,2),16,10) in是什么意思
时间: 2024-04-19 20:24:32 浏览: 27
`CONV(left(dci.device_code,2),16,10)` 这部分代码是用来转换设备编码的前两个字符,将其从十六进制转换为十进制。
具体来说,`left(dci.device_code,2)` 从 `dci.device_code` 中截取前两个字符,然后 `CONV()` 函数将这两个字符作为十六进制数进行转换。转换后的结果是一个十进制数。
`in` 关键字表示在一组值中进行匹配。在这段代码中,转换后的十进制数会与一个值集合进行匹配,这个值集合是通过 `<foreach>` 标签和 `manufacturerIdList` 变量动态生成的。
因此,整个表达式的含义是检查设备编码的前两个字符转换为十进制后是否在 `manufacturerIdList` 所包含的值中。如果匹配成功,这些设备编码将被包括在查询结果中。
希望能解答你的疑问。如果你还有其他问题,请随时提问。
相关问题
帮我翻译以下代码 <select id="getStatisticalInfoDetailCount" resultType="java.lang.Integer"> select count()from(select psi.station_id,cda.cdc as count_device_code,cda.appkey from (select count(dci.device_code) as cdc,dci.appkey from iledproduction.device_code_info dci where CONV(left(dci.device_code,2),16,10) in <foreach collection="manufacturerIdList" item="item" index="index" open="(" close=")" separator=","> #{item} </foreach> <if test="propMap.size>0 and propMap!=null"> <foreach collection="propMap" index="index" item="item"> <if test='index.toString=="device_type"'> and substr(dci.device_code,3,4) = "${item[1]}" </if> <if test='index.toString=="produce_date"'> and STR_TO_DATE(substr(dci.device_code,7,6),'%y%m%d') BETWEEN "${item[1]}" AND DATE_ADD("${item[2]}",INTERVAL 1 DAY) </if> </foreach> </if> and dci.cert_import_status = 1 group by appkey) as cda left join (select s1.station_id as station_id,s1.old_appkey as appkey from iledproduction.appkey_log s1 union (select s2.station_id as station_id,s2.new_appkey as appkey from iledproduction.appkey_log s2) union (select s3.station_id as station_id,s3.appkey as appkey from iledproduction.production_station_info s3) ) psi on cda.appkey = psi.appkey) a left join (select p.,dpt.manufacturer_id,dpt.department_name from iledproduction.production_station_info p ,iledproduction.department dpt where p.department_key=dpt.department_key) ps on a.station_id = ps.station_id <if test="propMap.size>0 and propMap!=null"> <foreach collection="propMap" index="index" item="item"> <if test='index.toString=="manufacturer_id"'> where ps.manufacturer_id = ${item[1]} </if> </foreach> </if> </select>
这段代码是一个SQL查询语句,用于统计满足特定条件的数据行数。以下是代码的翻译:
```sql
<select id="getStatisticalInfoDetailCount" resultType="java.lang.Integer">
SELECT count(*) FROM (
SELECT psi.station_id, cda.cdc AS count_device_code, cda.appkey
FROM (
SELECT count(dci.device_code) AS cdc, dci.appkey
FROM iledproduction.device_code_info dci
WHERE CONV(left(dci.device_code,2),16,10) IN
<foreach collection="manufacturerIdList" item="item" index="index" open="(" close=")" separator=",">
#{item}
</foreach>
<if test="propMap.size>0 and propMap!=null">
<foreach collection="propMap" index="index" item="item">
<if test='index.toString=="device_type"'>
AND substr(dci.device_code,3,4) = "${item[1]}"
</if>
<if test='index.toString=="produce_date"'>
AND STR_TO_DATE(substr(dci.device_code,7,6),'%y%m%d') BETWEEN "${item[1]}" AND DATE_ADD("${item[2]}",INTERVAL 1 DAY)
</if>
</foreach>
</if>
AND dci.cert_import_status = 1
GROUP BY appkey
) AS cda
LEFT JOIN (
SELECT s1.station_id AS station_id, s1.old_appkey AS appkey
FROM iledproduction.appkey_log s1
UNION
SELECT s2.station_id AS station_id, s2.new_appkey AS appkey
FROM iledproduction.appkey_log s2
UNION
SELECT s3.station_id AS station_id, s3.appkey AS appkey
FROM iledproduction.production_station_info s3
) psi ON cda.appkey = psi.appkey
) a
LEFT JOIN (
SELECT p.*, dpt.manufacturer_id, dpt.department_name
FROM iledproduction.production_station_info p, iledproduction.department dpt
WHERE p.department_key = dpt.department_key
) ps ON a.station_id = ps.station_id
<if test="propMap.size>0 and propMap!=null">
<foreach collection="propMap" index="index" item="item">
<if test='index.toString=="manufacturer_id"'>
WHERE ps.manufacturer_id = ${item[1]}
</if>
</foreach>
</if>
</select>
```
希望能对你有所帮助。如果你有任何其他问题,请随时提问。
compress_c = 8 if rfb else 16 self.weight_level_0 = Conv( self.inter_dim, compress_c, 1, 1) self.weight_level_1 = Conv( self.inter_dim, compress_c, 1, 1) self.weight_level_2 = Conv( self.inter_dim, compress_c, 1, 1) self.weight_levels = Conv( compress_c*3, 3, 1, 1) self.vis = vis
这段代码是在一个基于多层感知器(MLP)的模块中,用于定义多个卷积操作。具体来说,代码中的部分含义如下:
- compress_c = 8 if rfb else 16:根据rfb的取值,定义一个压缩因子。当rfb为真时,压缩因子为8,否则为16。
- self.weight_level_0 = Conv(self.inter_dim, compress_c, 1, 1):定义一个卷积操作,用于将输入特征图的通道数从self.inter_dim降到compress_c。具体来说,卷积核数量为compress_c,输入特征图的通道数为self.inter_dim,卷积核大小为1x1,卷积操作的步长为1。
- self.weight_level_1 = Conv(self.inter_dim, compress_c, 1, 1):同样是一个卷积操作,用于将输入特征图的通道数从self.inter_dim降到compress_c。
- self.weight_level_2 = Conv(self.inter_dim, compress_c, 1, 1):同样是一个卷积操作,用于将输入特征图的通道数从self.inter_dim降到compress_c。
- self.weight_levels = Conv(compress_c*3, 3, 1, 1):定义一个卷积操作,用于将三个不同层级的特征图进行融合。具体来说,卷积核数量为3,输入特征图的通道数为compress_c*3,卷积核大小为1x1,卷积操作的步长为1。
- self.vis = vis:用于可视化调试。
这些操作都是卷积神经网络中常用的操作,可以帮助模型更好地处理输入的特征图,从而提高模型的性能和准确率。其中,通道数调整操作可以增加或减少特征图的通道数,从而影响网络的表达能力和特征提取能力;特征融合操作则可以将不同层级的特征图进行融合,从而提高模型的表示能力和泛化能力。
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