Hi Griffith,

Did you mean CMakeCache.txt file?  I have attached the file with this email.

Kind regards,
Abu

On Tue, 14 Jan 2025 at 14:56, Griffith Mehaffey (Gemini47) <
[email protected]> wrote:

>  Good morning, Abu.
>
> I’d sure be happy to try. If you’re able to send a txt file detailing
> everything you’re doing to try and achieve the Python bindings that might
> help to see where the bottleneck is.
>
> But 97% is pretty darn close so congrats 🎊🍾 to you there.
>
> Certainly would be a lot of advantages to using the AtomSpace once those
> Python bindings become fully integrated.
>
> And let me know about the txt file option. If we’re able, I’d like to
> start there to try and find a solution.
>
> Cheers 🍻
>
> Sent from my iPhone
>
> On Jan 14, 2025, at 7:45 AM, Abu Naser <[email protected]> wrote:
>
> 
> Hi Griffith,
>
> I am reading from the Opencog wiki. Are there any better materials
> available?
>
> While I was trying to compile atomspace with python bindings, I have got
> the following error:
> [ 97%] Built target utilities_cython
> make[2]: *** No rule to make target
> '../opencog/persist/api/cython/../../storage/storage_types.pyx', needed by
> 'opencog/persist/api/cython/storage.cpp'.  Stop.
>
> Would you be able to help me with this?
>
> Kind regards,
> Abu
>
>
>
> On Tue, 14 Jan 2025 at 03:04, Griffith Mehaffey (Gemini47) <
> [email protected]> wrote:
>
>> You’re most welcome Abu.
>>
>> Quick question: What sources are you using to read up on AtomSpace? Just
>> curious :)
>>
>> Keep us all posted on how it’s going.
>>
>> Cheers 🍻
>>
>> -Griffith
>>
>> Sent from my iPhone
>>
>> On Jan 13, 2025, at 4:52 PM, Abu Naser <[email protected]> wrote:
>>
>> 
>> Responding to Griffith
>>
>> Thank you very much for your email and suggestions. My immediate plan is
>> to work with viral genomes, which are much simpler and smaller, and I guess
>> it is possible to put those genomes in a MongoDB.
>> At the moment I am still in the dark about what to do and how to
>> implement some ideas using atomspace. Currently, I am doing some reading on
>> atomspace. I will keep you posted about my progress and seek help if I may.
>>
>> Responding to Linas
>>
>> I am planning to read about atomspace  and to execute some of
>> the examples that came with the package. Python would be an easier choice
>> for me.
>> While I was trying to compile atomspace with python bindings, I have got
>> the following error:
>>
>> [ 97%] Built target utilities_cython
>> make[2]: *** No rule to make target
>> '../opencog/persist/api/cython/../../storage/storage_types.pyx', needed by
>> 'opencog/persist/api/cython/storage.cpp'.  Stop.
>>
>> Please let me know the potential solutions for this error.
>>
>> Kind regards,
>>
>> Abu
>>
>>
>> On Sat, 11 Jan 2025 at 05:26, Linas Vepstas <[email protected]>
>> wrote:
>>
>>> Replying to Abu.
>>>
>>> On Wed, Jan 8, 2025 at 12:34 PM Abu Naser <[email protected]> wrote:
>>> >
>>> > Good to hear from you.
>>> > I have done some googling about the LLM, I have found many people are
>>> using LLM for analysing genomic data.
>>>
>>> I'd be amazed if there weren't. Pharma is a $1.6 trillion-dollar
>>> business in the US alone.
>>> https://www.statista.com/topics/1764/global-pharmaceutical-industry/
>>> If some of that money *wasn't* going into LLM's, I would conclude that
>>> I had died and been reanimated in a crappy universe simulation.
>>>
>>> > (https://github.com/MAGICS-LAB/DNABERT_2?tab=readme-ov-file that can
>>> easily be used via  https://huggingface.co/docs/transformers/en/index)
>>> > Their approach is usual, 1st train a model and then use it to predict.
>>> In our case, where do we get the knowledge to store on atomspace?
>>>
>>> That's a great question. (If I understand you correctly) I assume you
>>> already know how to get, have access to oodles and poodles of genomic
>>> data. There are open, public databases of genomic data, in all shapes
>>> and sizes. No doubt there's even more that's proprietary, say, the
>>> 23+me dataset.
>>>
>>> I think the issue is "how do I hook up an LLM to the AtomSpace?" and
>>> the short answer is "I don't know". Well, I do know, but I am unhappy
>>> with all the ways I know how. So I've recently and with some urgency
>>> started to think about "what is the *best* way to hook up LLMs to the
>>> atomspace?" and I don't have an answer to that, yet. Might take a
>>> while
>>>
>>> > I can certainly to do some reading on their work and figure out how
>>> they do it.
>>>
>>> Yes, please!  If you can then explain it to me, in email, that would
>>> be excellent.  If you can't explain it, then some paper references...
>>>
>>> > Do you have the pattern matching tool set in github?
>>>
>>> Yes. https://github.com/opencog/learn
>>>
>>> Terminology: in comp-sci, "pattern matching" usually refers to a very
>>> simple kind of matching, called "regular expressions" (regex), with
>>> theory developed in 1960's and a standard part of Unix by the 1980's
>>> see e.g. "perl regex".
>>>
>>> Besides regex, many programming languages have a similar but different
>>> idea: scheme has "hygenic macros". as do other functional languages.
>>> Python does not    javascript does not. I think some of the latest and
>>> weirdest c++ standards track is trying to go that way. C++ templates
>>> are kind-of pattern-matcher-like-ish, but they're simple, and 30-35
>>> years old, now.
>>>
>>> In atomese, I made the mistake of calling it's graph rewriting system
>>> "pattern matching". Bad mistake, because it makes people think of the
>>> above rather simple systems. In fact, Atomese has 2 or 3 or 4 distinct
>>> systems that, uhh, "process patterns"
>>>
>>> At the bottom end, its the "query engine", which is a sophisticated
>>> and fast graph rewrite engine. Tutorials here:
>>> https://github.com/opencog/atomspace/tree/master/examples/pattern-matcher
>>>  you might find these to be .. mind-bendingly complicated. A theory
>>> paper is here:
>>> https://github.com/opencog/atomspace/raw/master/opencog/sheaf/docs/ram-cpu.pdf
>>>
>>> At the mid-range, there's a rule system and a unifier. The unifier
>>> works. The rule system needs to be torched and rewritten.
>>>
>>> At the "high-end", there's https://github.com/opencog/learn In many
>>> ways, it kind-of-ish resembles transformers. Except that it works with
>>> structures, rather than linear strings of data. And that kind-of
>>> changes everything. It gets kind-of-ish similar results, but since its
>>> also kind-of-ish completely different (because instead of working with
>>> strings, it works with trees) its ... well, its a weird-ass
>>> half-finished prototype. I love/hate it because I know why its great
>>> and why it's utterly mis-designed. Its a steep hill to climb.
>>>
>>> > I am a command line person. I would not mind even if it is a bit
>>> messy. I am a biologist by training but
>>> > professionally I don't do biology. It would be fun for me to do some
>>> biology on the sideline of my profession.
>>>
>>> Ah! Well, let's start small. Look at and plan what is doable and
>>> interesting and fun.
>>>
>>> > My shortcoming is that I am not a good coder.
>>>
>>> Heh. I'm a *very good coder*, and so when I say "this shit is
>>> difficult", trust me. This shit is difficult.
>>>
>>> (yes, that's an "appeal to authority", but .. hey.)
>>>
>>> --linas
>>>
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Attachment: CMakeCache.txt
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