psutils | Command line utilities written in Powershell | Command Line Interface library
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Command line utilities written in Powershell
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QUESTION
I'm planning a TFF scheme in which the clients send to the sever data besides the weights, like their hardware information (e.g CPU frequency). To achieve that, I need to call functions of third-party python libraries, like psutils. Is it possible to serialize (using tff.tf_computation
) such kind of functions?
If not, what could be a solution to achieve this objective in a scenario where I'm using a remote executor setting through gRPC?
ANSWER
Answered 2021-Feb-05 at 03:01Unfortunately no, this does not work without modification. TFF uses TensorFlow graphs to serialize the computation logic to run on remote machines. TFF does not interpret Python code on the remote machines.
There maybe a solution by creating a TensorFlow custom op. This would mean writing C++ code to retrieve CPU frequency, and then a Python API to add the operation to the TensorFlow graph during computation construction. TensorFlow's guide for Create an op can provide detailed instructions.
QUESTION
I am trying to edit the script below to utilize the task scheduler send me an email notification every time an error/warning/failure is logged in our servers Event Viewer.
Important info:
- I am brand new to PowerShell
- The from email and to email are both apart of my company's outlook exchange server
- I need this script to pull events from the "Windows" log folder in Event Viewer
- I also believe this script requires a module installation, which I am struggling to figure out how to do
- I need to know what to edit (I believe in the parameters) to make to fit my specific use case
Thanks in advance for any help at all. Here is the script from https://github.com/blachniet/blachniet-psutils/blob/master/Send-EventEntryEmail.psm1 :
...ANSWER
Answered 2021-Jan-15 at 18:26You can subscribe to Event Log via email by setting a scheduled task which will receive the notice of a new event and deliver it by email.
From the Task Scheduler, you start by adding a task triggered by "On an event". To subscribe to a particular Log/Source/Event ID combination, use "Basic". To subscribe to many events, use "Custom" with an event filter meeting your needs.
Either way, the second step is a powershell script which can inspect the event and forward it by email. This can be done by adding an action in Task Scheduler which calls powershell.exe
and passes the agruments .\MyDelightfulScriptName.ps1 -eventRecordID $(eventRecordID) -eventChannel $(eventChannel)
.
To access the event that was logged, the powershell script uses Get-WinEvent
with the EventRecordID
filter:
QUESTION
Background - TLDR: I have a memory leak in my project
Spent a few days looking through the memory leak docs with scrapy and can't find the problem. I'm developing a medium size scrapy project, ~40k requests per day.
I am hosting this using scrapinghub's scheduled runs.
On scrapinghub, for $9 per month, you are essentially given 1 VM, with 1GB of RAM, to run your crawlers.
I've developed a crawler locally and uploaded to scrapinghub, the only problem is that towards the end of the run, I exceed the memory.
Localling setting CONCURRENT_REQUESTS=16
works fine, but leads to exceeding the memory on scrapinghub at the 50% point. When I set CONCURRENT_REQUESTS=4
, I exceed the memory at the 95% point, so reducing to 2 should fix the problem, but then my crawler becomes too slow.
The alternative solution, is paying for 2 VM's, to increase the RAM, but I have a feeling that the way I've set up my crawler is causing memory leaks.
For this example, the project will scrape an online retailer.
When run locally, my memusage/max
is 2.7gb with CONCURRENT_REQUESTS=16
.
I will now run through my scrapy structure
- Get the total number of pages to scrape
- Loop through all these pages using: www.example.com/page={page_num}
- On each page, gather information on 48 products
- For each of these products, go to their page and get some information
- Using that info, call an API directly, for each product
- Save these using an item pipeline (locally I write to csv, but not on scrapinghub)
- Pipeline
ANSWER
Answered 2020-Sep-19 at 23:301.Scheruler queue/Active requests
with self.numpages = 418
.
this code lines will create 418 request objects (including -to ask OS to delegate memory to hold 418 objects) and put them into scheduler queue :
QUESTION
I am running a Python v3.5 script on a Raspberry Pi with a camera. The program involves recording video from the picamera
and taking a sample frame from the video stream to perform operations on. Sometimes, it takes a very long time (20+ s) to deal with the byte buffer. A simplified version of the code is containing the problem area is:
ANSWER
Answered 2019-Mar-26 at 16:41In the example, BytesIO appears to be slow due to how Python handles closing the byte stream. From the documentation for BytesIO:
Why most users will never see thisA stream implementation using an in-memory bytes buffer. It inherits BufferedIOBase. The buffer is discarded when the close() method is called.
The bytes buffer is normally not destroyed until the command is issued on exit. When the Python script is finished and the environment is deconstructed, an automatic close() is issued by iobase_exit
(see line 467). It can be assumed that most users just open a byte stream in the buffer and leave it open until the script finishes. Perhaps this is not the "best" way to do it, but that is how most scripts I have seen which implement io
make use of it.
When new streams are called repeatedly without closing, the buffers seem to keep piling up, occasionally requiring the system to negotiate closing them at the memory limit. The limited resources of the Raspberry Pi seem to exacerbate this. This may be measurable by doing some fancy things to plot memory use as the buffer fills up, but I don't really care about it here, and it is beyond my level of experience.
Sequential use != reentryThis should not be the case if the SAME buffer is re-entered at a later time. The IO class is protected from this edge case by issuing a runtime error. See here. This is a separate case from what I reported in the original question, since a new buffer is generated each time BytesIO is called. It is relevant to discuss this as a misinterpretation of this section of the documentation precipitated the events described in the question.
Correction of the MWE in OPQUESTION
I am retrieving data from an api (working) and generating a line plot with vue-chartjs
.
However only the first two points are plotted. I must have my data structured in the wrong way but I don't know what it is expecting. Here is my component:
...ANSWER
Answered 2019-Mar-19 at 17:59Finally got it; I needed to re-read the doc for Chartjs. So here's the mounted function now. See that I had to put in x and y values for each point.
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