increase speed 50x with using set()

[plaber]

if you change some code to cache list of wallets in ram

	line = open('bit.txt').readlines();
	line.sort()
	lset = set(line)
	while True:
		i=i+1
                ..................skip some code.....................
		#print ('Worker '+str(r)+':'+ str(i) + '.-  # '+pub + ' # -------- # '+ priv+' # ')
		pub = pub + '\n'
		if pub in lset:
			msg = "\nPublic: " + str(pub) + " ---- Private: " + str(priv) + "YEI"
			text = msg

now it show 1200 K/s instead of 45 K/s for list of 1M wallets

[jomagalo]

Once modified with load in RAM (set) it gives me 540 K/s * core. Executed on a raspi 4 cores in total at 2160 K/s for list of 33M wallets

[Plaztomad]

@plaber @jomagalo Could you please share the whole code once edited? thank you.

[jomagalo]

@Plaztomad I can share it but it is not enough to get to achieve something. In addition, there are other software that use gpus that are much more powerful and do not achieve anything due to the astronomical number of possible combinations. All of this is just for experimentation.

[Plaztomad]

@jomagalo i'm aware of that, but thanks for pointing that out

[jomagalo]

@Plaztomad Modified file attached. Try it and tell me how you see it.
seekanddestroy.zip

Everything has been tested on ubuntu server 20.04 with a raspberry 4 and it works perfectly.

Improvements made:

• database with 33M wallets
• speed increase with load in RAM (set) of the database
• send mail if there is success.
• 2160 K/s for list of 33M wallets

Hardware requirements:

• 8GB RAM minimum
• 4 cores minimum

the path to the database is indicated on line 22

The database I use contains about 33 million wallets. Download it from here: database

Lastly, the database surely contains both compressed and uncompressed addresses and this software only generates uncompressed addresses. It would be necessary to add that function.

[Plaztomad]

working great! thanks for your support.

[ImpAsh13]

@Plaztomad Modified file attached. Try it and tell me how you see it. seekanddestroy.zip

the path to the database is indicated on line 22

The database I use contains about 33 million wallets. Download it from here: database

Lastly, the database surely contains both compressed and uncompressed addresses and this software only generates uncompressed addresses. It would be necessary to add that function.

I get error:
F:\BitBruteForce-Wallet-master>python seekanddestroy.py
reading database: 35/35 Traceback (most recent call last):
File "F:\BitBruteForce-Wallet-master\seekanddestroy.py", line 133, in
database[3] = database[3] | set(pickle.load(file))
_pickle.UnpicklingError: could not find MARK

[jomagalo]

@ImpAsh13 I run it on ubuntu 20.04 and it works perfectly.

does it work with the original code?
have you installed the requirements?
Do you use python3?
Did you download the database in the correct path?
database/MAR_15_2021

[Plaztomad]

Hey @jomagalo , is there any way to create a database with the list of addresses you can find here?

[jomagalo]

@Plaztomad Yes, but you have to pass it to pickle format

[ImpAsh13]

I run it on ubuntu 20.04 and it works perfectly.

does it work with the original code?
have you installed the requirements?
Do you use python3?
Did you download the database in the correct path? database/MAR_15_2021

I run it on Windows 10 Pro
With original code it work.
All recommendations downloaded and installed, except for 3 billion years.
Python 3.10
Database is loaded. All 34 parts. After that, 10 seconds pass and an error message appears.
I will try to run on ubuntu

[ImpAsh13]

I found a bug on my computer and was able to reproduce it.
It was all about the disabled paging file.

[jomagalo]

@ImpAsh13 What type of processor and how many cores does it have?

Loading the entire database into memory requires at least 8GB of RAM
I don't think it will work with less than 8GB RAM

[ImpAsh13]

@jomagalo
I have Intel(R) Core(TM) i7-7700 CPU @ 3.60GHz 8 cores and 16 Gb RAM.
Swap file need for pickle.
Now speed of each core ~1200 K/s

[jomagalo]

@ImpAsh13 It may be the version of python you have installed, I use Python 3.8.10 and everything works fine.

Check also this part that I have updated: #28 (comment)