I would like to get same random number after restart the code.
İs is possible because system clock is changing while I restart the application.
1-start the application
2-result of the random number( example array size 10 and every numbers are same)
3-close the application
4-Don't change any code
5-Start application again
6-result of the random number( example array size 10 and every numbers are same)
in second and sixth step ı would like to get same number? how can ı get it. is it possible?
Related
For a university project I am using bifacial_radiance v0.4.0 to run simulations of approx. 270 000 rows of data in an EWP file.
I have set up a scene with some panels in a module following a tutorial on the bifacial_radiance GitHub page.
I am running the python script for this on a high power computer with 64 cores. Since python natively only uses 1 processor I want to use multiprocessing, which is currently working. However it does not seem very fast, even when starting 64 processes it uses roughly 10 % of the CPU's capacity (according to the task manager).
The script will first create the scene with panels.
Then it will look at a result file (where I store results as csv), and compare it to the contents of the radObj.metdata object. Both metdata and my result file use dates, so all dates which exist in the metdata file but not in the result file are stored in a queue object from the multiprocessing package. I also initialize a result queue.
I want to send a lot of the work to other processors.
To do this I have written two function:
A file writer function which every 10 seconds gets all items from the result queue and writes them to the result file. This function is running in a single multiprocessing.Process process like so:
fileWriteProcess = Process(target=fileWriter,args=(resultQueue,resultFileName)).start()
A ray trace function with a unique ID which does the following:
Get an index ìdx from the index queue (described above)
Use this index in radObj.gendaylit(idx)
Create the octfile. For this I have modified the name which the octfile is saved with to use a prefix which is the name of the process. This is to avoid all the processes using the same octfile on the SSD. octfile = radObj.makeOct(prefix=name)
Run an analysis analysis = bifacial_radiance.AnalysisObj(octfile,radObj.basename)
frontscan, backscan = analysis.moduleAnalysis(scene)
frontDict, backDict = analysis.analysis(octfile, radObj.basename, frontscan, backscan)
Read the desired results from resultDict and put them in the resultQueue as a single line of comma-separated values.
This all works. The processes are running after being created in a for loop.
This speeds up the whole simulation process quite a bit (10 days down to 1½ day), but as said earlier the CPU is running at around 10 % capacity and the GPU is running around 25 % capacity. The computer has 512 GB ram which is not an issue. The only communication with the processes is through the resultQueue and indexQueue, which should not bottleneck the program. I can see that it is not synchronizing as the results are written slightly unsorted while the input EPW file is sorted.
My question is if there is a better way to do this, which might make it run faster? I can see in the source code that a boolean "hpc" is used to initiate some of the classes, and a comment in the code mentions that it is for multiprocessing, but I can't find any information about it elsewhere.
I want to integrate fingerprint sensor in my project. For the instance I have shortlisted R307, which has capacity of 1000 fingerprints.But as project requirement is more then 1000 prints,so I will going to store print inside the host.
The procedure I understand by reading the datasheet for achieving project requirements is :
I will register the fingerprint by "GenImg".
I will download the template by "upchr"
Now whenever a fingerprint come I will follow the step 1 and step 2.
Then start some sort of matching algorithm that will match the recently downloaded template file with
the template file stored in database.
So below are the points for which I want your thoughts
Is the procedure I have written above is correct and optimized ?
Is matching algorithm is straight forward like just comparing or it is some sort of tricky ? How can
I implement that.Please suggest if some sort of library already exist.
The sensor stores the image in 256 * 288 pixels and if I take this file to host
at maximum data rate it takes ~5(256 * 288*8/115200) seconds. which seems very
large.
Thanks
Abhishek
PS: I just mentioned "HOST" from which I going to connect sensor, it can be Arduino/Pi or any other compute device depends on how much computing require for this task, I will select.
You most probably figured it out yourself. But for anyone stumbling here in future.
You're correct for the most part.
You will take finger image (GenImg)
You will then generate a character file (Img2Tz) at BufferID: 1
You'll repeat the above 2 steps again, but this time store the character file in BufferID: 2
You're now supposed to generate a template file by combining those 2 character files (RegModel).
The device combines them for you, and stores the template in both the character buffers
As a last step; you need to store this template in your storage (Store)
For searching the finger: You'll take finger image once, generate a character file in BufferID : 1 and search the library (Search). This performs a linear search and returns the finger id along with confidence score.
There's also another method (GR_Identify); does all of the above automatically.
The question about optimization isn't applicable here, you're using a 3rd party device and you have to follow the working instructions whether it's optimized or not.
The sensor stores the image in 256 * 288 pixels and if I take this file to host at maximum data rate it takes ~5(256 * 288*8/115200) seconds. which seems very large.
I don't really get what you mean by this, but the template file ( that you intend to upload to your host ) is 512 bytes, I don't think it should take much time.
If you want an overview of how this system is implemented; Adafruit's Library is a good reference.
I wanted to know if it is possible to seed only a part of a file from one client ? I want to create a volunteer computation webcl cluster, but for the computations to start, I need to give them a cache (16 - 32 mb). The thing is that this cache could be computed by the clients . So my question is , can I compute small parts of this cache, and seed these parts as "piece number x of cache" and of course in the same time download all the other parts I don't have ? Like this , the whole file will be seeded, but no one will have it fully on their computer, and each time a client downloads a brand new computed part, it starts seeding this part too ?
Thanks !
Unfortunately, no. WebTorrent follows BitTorrent spec. A torrent contains files.
You can however, download & seed a small part of the full torrent, which might work for you.
You'd need to generate torrent of the full file and create a seeder that downloads and seed the part that you want.
I am new to programming, and need some help with an experiment I'm constructing in PsychoPy builder. I have made something that works, but I can tell it's inelegant and there must be a better way.
I want to conduct 24 trials. Each trial will show 7 unique images, then 1 image which may or may not be from the 7, and users are then asked to enter y/n if they have seen the image before.
In my current code I have created 24 separate input files, each containing a list of the unique objects. I have created a loop which shows the seven objects in succession. I have then created separate routines for the pre-trial fixation screen (constant for all 24 trials) and the response (probe image and correct answer manually programmed). The code works, but it is very long, and if I wanted to change something in the fixation or the probe/response, I would need to change each of the 24 trials individually.
How can I instead get Builder to create a loop which contains the fixation screen (constant), the trial loop (picking the next seven unique objects (they are named sequentially from 1-168), and then a probe/response which is unique to each trial (I have these in an input file as follows. Probe refers to a number between 1 and 7 which references the position of the image in the sequence shown in the trial.)
TrialNumber Probe CorrAns
1 4 0
2 3 1
3 4 0
4 5 1
5 4 1
...
I hope my question makes sense and I would be grateful for any assistance.
Thanks PsychoPy Beginner.
Yes, you're correct that there is a (much) more efficient way to do this.
First, start with your conditions file (i.e. .csv or .xlsx). You only need one of them. It should have 24 rows (one per trial). It will need 8 columns: 7 to specify the unique images in a trial and an eighth to specify the repeated one.
Second, you need a loop to control the trials. This is connected to the conditions file, and encompasses all of the routines (the pre-trial fixation and the image routine.
Third, you need a second, inner loop, nested within the outer one. This encompasses only the image routine. i.e. the fixation routine will run 24 times (once per outer loop), and the image routine will run 7×24 times (i.e. 7 times per trial). The inner loop is not connected to a conditions file and is simply set to run 7 times.
So note that you no longer have 24 separate routines in Builder but only two (the fixation and image routines). Instead of duplicating routines, you repeat them via the loops.
In the image stimulus image field, you can construct the image name to use on each presentation. e.g. lets say the 8 columns in your conditions file are labelled 'image0', 'image1', etc. Then in the image field, put something like this:
$'image' + str(yourInnerLoopName.thisN)
i.e. on the first iteration within each trial, the image filename would come from column image0, the second from image1, and so on.
I don't know how you are handling the responses, but you will also probably need a ninth column in the conditions file that indicates what the correct response is. The keyboard component can access that to judge whether the response is correct or not.
I'm trying to increase the number of items shown in the Run MRU list.
The registry key in question is
HKEY_CURRENT_USER\Software\Microsoft\Windows\CurrentVersion\Explorer\RunMRU
The relevant value is MRUList.
From what I've seen, the maximum is 26, the values are a-z.
I've tried adding values with symbols and numbers for the name (e.g. 1, #, +), and adding them to MRUList value, to no avail.
Any ideas?
(using an external launcher program is out of the question)
No, the limit is fixed and you can't use more than 26 entries. You'll have to use another way like an external program - so why is this a bad idea for you? I'm sure there are launchers you can even plug in the start menu near the run command and that'll have almost the same look-and-feel - and if not, you can always code your own launcher.