cqt | Two implement for Constant Q Transform | Machine Learning library

Maybe it has to do with the indentation of audio_path and audio_file.

Is it possible to see some previous code?

I think you might want to try out pad_mode which is supported in cqt. If you checkout the np.pad documentation, you can see available options (or see the end of this post). With the wrap option, you get a result like this, though I suspect the phase is a mess, so you should make sure this meets your needs. If you are always generating your own signal, you could trying using the instead of one of the available options.

There are several options:

The simplest option for you is to convert the QQuickPaintedItem to QWidget and thus you avoid learning to use QML which is not a simple task for a beginner.

For this, some changes must be made:

• use the update() method in the setters:

You need to put some Name.your-lang-extension.ft files under fileTemplates package, like this, and declare , like this (this Name corresponds to the Name in Name.your-lang-extension.ft).
In the template files you may use some variables, there're some predefined ones and you can use your own. The syntax is ${MY_VAR}.
Then you should implement buildDialog like this, the third argument to addKind is the Name in Name.your-lang-extension.ft, the first one is the displayed name.

Then you should create a action class extending CreateFileFromTemplateAction, like this, and create a Properties instance by using FileTemplateManager.getInstance(project).defaultProperties like this and add some properties like this which will be filled in to the variables, like you can properties.add("MY_VAR", yourCodeToGetSomeInformation()) and ${MY_VAR} in your template will the replaced with the return value of yourCodeToGetSomeInformation().

After that you should implement createFileFromTemplate like this, the key part is the call to CreateFromTemplateDialog's create(), just look at my code example and you'll know.

After implementing the action class you should register it into plugin.xml just like what you're doing now.

BTW please remove your dangerously incorrect implementation of equals and hashCode.

You don't need a createFromTemplateHandler.

Actually,I think you need to collect some statistics by using a tool like MongoDB Management service and then make sure which is your bottleneck.

And here are my advice:

• Try to use multiprocessing and execute parallel Python script to insert document.You will have better performance,absolutely.

  Have a look at this example.

• To maximise write performance,sharding is a good way.

• Check out your disk I/O speed,maybe you can try SSD.

See more details from write Operation performance.

Hope this helps.

I rolled back to numpy 1.10.1 to fix this issue (although I was running chroma_cqt and getting this error).

Numpy > 1.11 as_strided makes a dummyarray and asarray does not handle the float array properly. 1.10.1 numpy has better stride_tricks, apparently.