edt

【推荐】2019 Java 开发者跳槽指南.pdf(吐血整理) >>> python只获取日期，要用到的是python的内置模块，time模块。 顾名思义，这是一个和时间有关的模块。 首先导入time模块。 import time 第一步要做的就是从1970纪元后到目前为止度过的秒数（浮点类型）。 其实想要获得这个秒数，只有一个方法，就是通过time模块内的time方法来获得。 即time.time() 但是，time.time返回的这个高精度浮点数我们并不能准确的得到我们想要的当前时间。我们只知道这是从1970到目前为止已经过了多少秒。 这里我们还需要使用一个方法来把秒数变成当前的时间戳。 这时我们就要用到另外一个方法，localtime方法，该方法的参数为我们刚刚所说的1970年到目前为止的秒数，返回值为一个叫struct_time结构体，如果不懂什么叫结构体，没关系，也可以理解为localtime方法返回一个struct_time对象。 time.localtime(time.time()) 可以看到localtime方法的返回结果，从单词的字面上我们也能大概了解到： 前缀tm为time，year为年份，mon为月份，mday为日，hour为时，min为分，sec为秒等等 但是我们想要的并不是这种结果，我们想要获得一个易于理解的数据。 常见的asctime类型

【推荐】2019 Java 开发者跳槽指南.pdf(吐血整理) >>> 新版数据库驱动连接异常 java.sql.SQLException: The server time zone value 'EDT' is unrecognized or represents more than one time zone. You must configure either the server or JDBC driver (via the serverTimezone configuration property) to use a more specifc time zone value if you want to utilize time zone support. 使用的数据库是MySQL，驱动是8.0.16。这是由于新版数据库驱动连接程序需要指定UTC时区所造成的， 在jdbc连接的url后面加上serverTimezone=GMT即可解决问题，如果需要使用gmt+8时区，需要写成GMT%2B8，否则会被解析为空。 再一个解决办法就是使用低版本的MySQL jdbc驱动，5.1.28不会存在时区的问题。 修改后： spring.datasource.driver-class-name=com.mysql.cj.jdbc.Driver spring.datasource.url

Does Forcing "High" DPM Performance Help Out Your AMDGPU Performance? Written by Michael Larabel in Radeon on 7 June 2018 at 06:04 AM EDT. 14 Comments A premium patron recently asked about testing the open-source Radeon driver performance when testing the forced "high" dynamic power management state rather than the default "auto" mode. Here are some benchmarks. This is about forcing /sys/class/drm/card0/device/power_dpm_force_performance_level to high rather than auto, to ensure the GPU is bound to its highest performance state rather than dynamically changing performance states based upon

I started to use CheckThreadViolationRepaintManager to detect EDT violations. It complains about: partner = getParameter("partner",generatePartnerSelectionPanel(),Design.partnerSelectionDuration); Because it does not like generatePartnerSelectionPanel() because it does not like JPanel panel = new JPanel(); in this method. But I cannot find out why there should be a problem around that. In more details, generatePartnerSelectionPanel() generates a JPanel (I do it not in the EDT) but then, in the getParameter I add the JPanel to the main JFrame and I do it in the EDT (using invokeLater ). So, why

https://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.ndimage.morphology.distance_transform_edt.html I'm having trouble understanding how the Euclidean distance transform function works in Scipy. From what I understand, it is different than the Matlab function (bwdist). As an example, for the input: [[ 0. 0. 0. 0. 0.] [ 0. 1. 0. 0. 0.] [ 0. 0. 0. 0. 0.] [ 0. 0. 0. 1. 0.] [ 0. 0. 0. 0. 0.]] The scipy.ndimage.distance_transform_edt function returns the same array: [[ 0. 0. 0. 0. 0.] [ 0. 1. 0. 0. 0.] [ 0. 0. 0. 0. 0.] [ 0. 0. 0. 1. 0.] [ 0. 0. 0. 0. 0.]] But the matlab function

Does Forcing "High" DPM Performance Help Out Your AMDGPU Performance? Written by Michael Larabel in Radeon on 7 June 2018 at 06:04 AM EDT. 14 Comments A premium patron recently asked about testing the open-source Radeon driver performance when testing the forced "high" dynamic power management state rather than the default "auto" mode. Here are some benchmarks. This is about forcing /sys/class/drm/card0/device/power_dpm_force_performance_level to high rather than auto, to ensure the GPU is bound to its highest performance state rather than dynamically changing performance states based upon