Cannot install python properly - python310.dll not found - no pip

2024-06-03 Thread Jay Cadet | Studio JPC via Python-list
Hi. I'm attempting to install and use stable diffusion. However, while 
installing python 3.10.6, I'm getting the error that the python 310.dll is not 
found. I've made sure the PATH option is enabled, but it makes no difference. 
I've also removed and reinstalled python multiple times.

Even though I get that error, the python still installs, but when I open the 
webui-user.bat file in the stable diffusion folder, it opens up the command 
center and says that there's no module named pip.

Please advise on how to fix this problem.

Thank you,

Jay Cadet

Architectural 3D Artist / Photographer
studio JPC
[p] 516.567.1996  | [w] studiojpc.com  | [ig] @studiojpc
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Re: From JoyceUlysses.txt -- words occurring exactly once

2024-06-03 Thread Edward Teach via Python-list
On Sat, 1 Jun 2024 13:34:11 -0600
Mats Wichmann  wrote:

> On 5/31/24 11:59, Dieter Maurer via Python-list wrote:
> 
> hmmm, I "sent" this but there was some problem and it remained
> unsent. Just in case it hasn't All Been Said Already, here's the
> retry:
> 
> > HenHanna wrote at 2024-5-30 13:03 -0700:  
> >>
> >> Given a text file of a novel (JoyceUlysses.txt) ...
> >>
> >> could someone give me a pretty fast (and simple) Python program
> >> that'd give me a list of all words occurring exactly once?  
> > 
> > Your task can be split into several subtasks:
> >   * parse the text into words
> > 
> > This depends on your notion of "word".
> > In the simplest case, a word is any maximal sequence of
> > non-whitespace characters. In this case, you can use `split` for
> > this task  
> 
> This piece is by far "the hard part", because of the ambiguity. For 
> example, if I just say non-whitespace, then I get as distinct words 
> followed by punctuation. What about hyphenation - of which there's
> both the compound word forms and the ones at the end of lines if the
> source text has been formatted that way.  Are all-lowercase words
> different than the same word starting with a capital?  What about
> non-initial capitals, as happens a fair bit in modern usage with
> acronyms, trademarks (perhaps not in Ulysses? :-) ), etc. What about
> accented letters?
> 
> If you want what's at least a quick starting point to play with, you 
> could use a very simple regex - a fair amount of thought has gone
> into what a "word character" is (\w), so it deals with excluding both 
> punctuation and whitespace.
> 
> import re
> from collections import Counter
> 
> with open("JoyceUlysses/txt", "r") as f:
>  wordcount = Counter(re.findall(r'\w+', f.read().lower()))
> 
> Now you have a Counter object counting all the "words" with their 
> occurrence counts (by this definition) in the document. You can fish 
> through that to answer the questions asked (find entries with a count
> of 1, 2, 3, etc.)
> 
> Some people Go Big and use something that actually tries to recognize 
> the language, and opposed to making assumptions from ranges of 
> characters.  nltk is a choice there.  But at this point it's not
> really "simple" any longer (though nltk experts might end up
> disagreeing with that).
> 
> 

The Gutenburg Project publishes "plain text".  That's another problem,
because "plain text" means UTF-8and that means unicode...and that
means running some sort of unicode-to-ascii conversion in order to get
something like "words".  A couple of hoursa couple of hundred lines
of Cproblem solved!

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Re: From JoyceUlysses.txt -- words occurring exactly once

2024-06-03 Thread Grant Edwards via Python-list
On 2024-06-03, Edward Teach via Python-list  wrote:

> The Gutenburg Project publishes "plain text".  That's another
> problem, because "plain text" means UTF-8and that means
> unicode...and that means running some sort of unicode-to-ascii
> conversion in order to get something like "words".  A couple of
> hoursa couple of hundred lines of Cproblem solved!

I'm curious.  Why does it need to be converted frum Unicode to ASCII?

When you read it into Python, it gets converted right back to Unicode...



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