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If you want to filter audit logs by Date, just try request below:

I had posted the same question in the HP forum and got an answer. For those who are interested:

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The current UPD driver seems to have an issue if you assign it to ports like LPT1 or File or 3rd party port monitors like those from pull print solutions.

There seems to be a simple workaround:

If you can access a printer that is in your network, then you can create a direct TCP/IP port and assign it to the queue you are having problems with.

Then you can open properties or any other menu you get this error and then make the changes you would like to do.

You can then re-assign the queue to the port which caused the error.

Alternatively, if you still have an older UPD version and that still is fine for you then you can install the older version.

You should keep in mind though that the older version may not support brand new printer models from HP.

But if you have not the latest freshly released models you should be fine. **

You should not be drawing on the Form's Canvas from outside of its OnPaint event at all. All of the drawing should be in the OnPaint event only. Have your timer save the desired information into variables that the Form can access, and then Invalidate() the Form, and let its OnPaint event draw the image using the latest saved information.

Alternatively, simply display your BMP inside a TImage control, and then have the timer set that control's Left/Top/Width/Height properties as needed. Let the TImage handle the drawing of the image for you.

Get-Content -Wait runs indefinitely or until the target file is deleted, moved or renamed (or, interactively, until Ctrl-C is pressed or the console window is closed).

It polls the specified file for new lines every second and outputs them to the pipeline.

Therefore, you need to perform processing as part of the same pipeline, using a ForEach-Object call:

While I do not know how to deal with this problem directly, I had a somewhat similar issue(and solved). The difference is:

• I use fairseq
• I can run my code on google colab with 1 GPU
• Got RuntimeError: unable to mmap 280 bytes from file : Cannot allocate memory (12) immediately when I tried to run it on multiple GPUs.

From the other people's code, I found that he uses python -m torch.distributed.launch -- ... to run fairseq-train, and I added it to my bash script and the RuntimeError is gone and training is going.

So I guess if you can run with 21000 samples, you may use torch.distributed to make whole data into small batches and distribute them to several workers.

not too familiar with Xmonad but you can easily do the following I guess. create a pure function mkConfig which takes the number of screens and returns the desired key mapping. Then, in your main pass it to xmonad function. I haven't tried to compile any of this but probably you can modify it easily

According to MSDN:Sample, Maybe you need to set a pin's signal state to indicate the data has been sent/received in your microcontroller program. More details reside in your serial communication transmission of data standard. And you should write code according to the result of WaitCommEvent(hCom, &dwEvtMask, &o); like the linked sample.

You're using wrong hardware & software for the job. Jetson Nano can be considered as a full featured PC. As I understand, it's suitable for high level algorithms, image processing and neural network evaluation. Bare metal programming does not make much sense for this kind of devices, hence you have Linux running on it. You need to be aware that in the presence of a non real-time operating system, you can't get reliable delay times.

Reading a quadrature encoder is low level task with strict hard real-time requirements. For this, you need microcontrollers (like PIC, AVR, ARM Cortex M), C/C++, bare-metal programming or an RTOS, and preferably dedicated hardware which is capable of reading quadrature encoders directly.

Polling input pins isn't the correct way of interfacing encoders. Keep it in mind that you need to poll the pins much faster than the expected pulse frequency. In microcontrollers, you use interrupts instead which saves you from polling. Even interrupts can't keep up with high resolution & fast turning encoders. When interrupts don't suffice, you need dedicated encoder interfacing hardware which counts pulses automatically for you.

The best thing you can do is picking a microcontroller and outsourcing the encoder counting job to it. As your encoder resolution is low, you don't need special quadrature interface hardware modules. You can just pick an Arduino and make it count pulses. Then your Jetson Nano can query Arduino using serial port, I2C or SPI to retrieve the up-to-date pulse count.

For those who may run into same problem, problem was REDIS misconfiguration, after third deployment we carefully set parameters and no problem was found.