Radio Radodj源码解析与测试应用

版权申诉
0 下载量 107 浏览量 更新于2024-11-25 收藏 23KB RAR 举报
资源摘要信息:"radio_radodj_Radio_源码" 标题中的"radio_radodj_Radio_源码"暗示了一个与无线电广播相关的项目,其中"Radio"表明这可能是一个广播电台的软件项目,"radodj"可能是指广播电台中的一种特定应用或脚本。"源码"二字则明确指出,这里提供的内容是该项目的代码基础。从标题可以推测,该源码可能用于开发或维护一个名为“radodj”的广播电台应用或服务。 描述中的"radio dh host radio cast test"进一步揭示了源码可能涉及的功能。"radio dh"可能是指一个特定的广播设备或主机(host),"radio cast"通常指的是广播电台播放的节目内容,而"test"可能意味着这个源码包含了测试代码或功能,用于在实际广播之前确保软件能够正常运行。 标签"radodj Radio"是描述项目特点的关键词,它强调了源码与广播电台(Radio)的直接关系,并且特别指明了“radodj”作为一个特定的组成部分或功能。 文件名称列表中的"radio.js"表明源码包含了至少一个名为"radio.js"的JavaScript文件。JavaScript是一种广泛用于网页开发的编程语言,特别是在开发动态交互式网页时。文件名暗示这个文件可能是实现无线电广播功能的核心脚本。 综合以上信息,我们可以推理出以下几点: 1. 项目可能是一个广播电台的播放系统,可能支持在线广播和节目内容的管理。 2. "radodj"可能是一个特定的功能或模块,专门用于广播电台的自动化播放或是DJ功能。 3. 项目可能包含用于测试广播电台软件的测试代码,以确保实际播出时的稳定性与流畅性。 4. 源码中可能包含了处理广播信号的代码、用户界面交互逻辑以及后台管理功能。 5. "radio.js"文件可能是项目的前端逻辑,处理网页播放器的行为,或者负责与后端服务器通信,接收广播内容进行播放。 对于IT行业专家来说,理解这些知识点有助于识别该项目在开发和维护广播系统方面可能使用的编程范式、技术栈和具体功能实现。此外,如果要参与项目开发,了解这些背景信息对于定位代码结构、分工协作以及后续的功能扩展都至关重要。

select concat(radio_mcc,Radio_MNC) as plmn,Radio_Brand,Radio_Network_Generation,left(Test_Timestamp,7) as month,traffic_bytes,traffic_direction,Location_Longitude as longtition,Location_Latitude as latitude cast((180.0 * (cast(floor(cast(Location_Longitude as double) * 20037508.34 / 180.0 / 300) as int) * 300 + 50) / 20037508.34) as decimal(30,10)) as grid_longitude, case when ln(tan((90.0 +cast(Location_Latitude as double)) * pi() / 360.0)) / pi() >1 then cast((57.295779513082323 * (2.0 * atan(exp((cast(floor(20037508.34/300) as int)*300 + 50) /20037508.34 * 3.141592653589793)) - 1.570796326794897)) as decimal(30,10)) when ln(tan((90.0 +cast(Location_Latitude as double)) * pi() / 360.0)) / pi() < -1 then cast((57.295779513082323 * (2.0 * atan(exp((cast(floor(-20037508.34/300) as int)*300 + 50) /20037508.34 * 3.141592653589793)) - 1.570796326794897)) as decimal(30,10)) else cast((57.295779513082323 * (2.0 * atan(exp((cast(floor(ln(tan((90.0 +cast(Location_Latitude as double)) * pi() / 360.0)) / pi() * 20037508/300) as int)*300 + 50) /20037508.34 * 3.141592653589793)) - 1.570796326794897)) as decimal(30,10)) end as grid_latitude, avg(throughput_receive) as download_bps, sum(test_samples) as samples from public_standard.ps04_p3_ntr__no where Radio_Network_Generation not in ('WiFi','Unknown','2G') and concat(radio_mcc,Radio_MNC)!='' and concat(radio_mcc,Radio_MNC) in (select a.plmn from (select concat(radio_mcc,Radio_MNC) as plmn,count(0) as num from public_standard.ps04_p3_ntr__no where concat(radio_mcc,Radio_MNC)!='' group by concat(radio_mcc,Radio_MNC) order by num desc limit 4)a ) group by radio_mcc,Radio_MNC,Radio_Brand,Radio_Network_Generation,month,traffic_bytes,traffic_direction,grid_longitude,grid_latitude,Location_Longitude,Location_Latitude;改为正确写法

119 浏览量

create table $x00256702.$pr01_temp_p3_ntr_grid_new__1604666481550 as select concat(radio_mcc,Radio_MNC) as plmn,Radio_Brand,Radio_Network_Generation, left(Test_Timestamp,7) as month, cast((180.0 * (cast(floor(cast(Location_Longitude as double) * 20037508.34 / 180.0 / 300) as int) * 300 + 50) / 20037508.34) as decimal(30,10)) as grid_longitude, case when ln(tan((90.0 +cast(Location_Latitude as double)) * pi() / 360.0)) / pi() >1 then cast((57.295779513082323 * (2.0 * atan(exp((cast(floor(20037508.34/300) as int)*300 + 50) /20037508.34 * 3.141592653589793)) - 1.570796326794897)) as decimal(30,10)) when ln(tan((90.0 +cast(Location_Latitude as double)) * pi() / 360.0)) / pi() < -1 then cast((57.295779513082323 * (2.0 * atan(exp((cast(floor(-20037508.34/300) as int)*300 + 50) /20037508.34 * 3.141592653589793)) - 1.570796326794897)) as decimal(30,10)) else cast((57.295779513082323 * (2.0 * atan(exp((cast(floor(ln(tan((90.0 +cast(Location_Latitude as double)) * pi() / 360.0)) / pi() * 20037508/300) as int)*300 + 50) /20037508.34 * 3.141592653589793)) - 1.570796326794897)) as decimal(30,10)) end as grid_latitude, avg(throughput_receive) as download_bps,sum(test_samples) as samples from $public_standard.$ps04_p3_ntr__za where Radio_RXLevel>=-150 and Radio_RXLevel<=-10 and Radio_Network_Generation!='WiFi' and traffic_direction='Downlink' and concat(radio_mcc,Radio_MNC)!='' and concat(radio_mcc,Radio_MNC) in (select a.plmn from (select concat(radio_mcc,Radio_MNC) as plmn,count(0) as num from $public_standard.$ps04_p3_ntr__za where concat(radio_mcc,Radio_MNC)!='' group by concat(radio_mcc,Radio_MNC) order by num desc limit 4)a ) and left(test_timestamp,7) in (left(cast(months_add(now(),0) as string),7), left(cast(months_add(now(),-1) as string),7), left(cast(months_add(now(),-2) as string),7), left(cast(months_add(now(),-3) as string),7), left(cast(months_add(now(),-4) as string),7), left(cast(months_add(now(),-5) as string),7), left(cast(months_add(now(),-6) as string),7)) group by radio_mcc,Radio_MNC,Radio_Brand,Radio_Network_Generation,month,grid_longitude,grid_latitude ;解析一下这个算法脚本

145 浏览量