A while ago I created an account with a Simple Login email and had a similar problem. In my case I just wanted to check an authentication via GitHub I had set up was working properly and couldn't do it because they weren't accepting the aliased email address. I reached out to support, but they basically told me to use a regular email address.
Well, coming from a tropical country to the US was a disappointment there. I used to be able to get a variety of freshly squeezed juices almost anywhere, and the only thing they serve around here are bottled OJ's that barely taste like orange. It's not even like there's a limited variety at the grocery store, it's just not a thing...
Well, it's not exactly impossible because of that, it's just unlikely they'll use a discriminator for the task because great part of generated content is effectively indistinguishable from human-written content - either because the model was prompted to avoid "LLM speak", or because the text was heavily edited. Thus they'd risk a high false positive rate.
True. I wanted to replace it with OSM or similar, but my main use of Maps after navigation is exploring places, reading reviews, and browsing pictures. They have a database that is tough to replace.
I read it as "monads, closures, and other functional concepts are mathematical (denotational) concepts that can be proven memory-safe, while 'functions' (operational, as in C) are not".
I'm not convinced whether this operational/denotational distinction would even be useful in practice. Operational semantics are part of a formal proof using logical statements rather than math objects, so the statement above wouldn't even make sense.
If you had the right query, yes. But getting there if you didn't know the exact words in the website used to take a number of attempts and google-fu. By early 2010s this was vastly improved.
Explanation: Python is a programming language. Numpy is a library for python that makes it possible to run large computations much faster than in native python. In order to make that possible, it needs to keep its own set of data types that are different from python's native datatypes, which means you now have two different bool...
the thing is - there's a lot of variables that shift the balance towards renting when looking within a time frame, even from a financial perspective.
how long you can stay in one place and whether that fits your needs both today and in a few decades
% of down payment and missed earnings if this money went towards another investment
interest rates
property taxes
HOA fees, if any
likely higher insurance rates over renting
maintenance costs
In the end of the day, since many variables have a large uncertainty, that's a bit of a gamble. Home ownership tends to win over time, but the longer one looks into the future, the higher this uncertainty also is.
I don't think so. A half-measure using docstrings would likely take more processing power and require an ad-hoc implementation because comments are not broken down into ast components afaik. It would also be more costly in the long run if they decide to convert it into a proper syntax, as a result of docstrings not having a single standard way of being written.
Python has introduced several syntactic changes for type annotations, this is not unreasonable.
You can say any execution flow controls are like gotos - continue, break, exceptions, switch, even ifs are not much more than special cases of gotos.
This is true regardless of the size of the function which shows that the size of the function isn’t the determinant
Logical clarity does tend to worsen as the function grows. In general, it is easier to make sense of a shorter function than a longer one. I don't know how you could even say otherwise.
Early returns are still great for argument validation. The alternative means letting the function execute to the end when it shouldn't, just guarded by if conditions - and these conditions any reader would have to keep in mind.
When a reader comes across an early return, that's a state they can free from their reader memory, as any code below that would be unreachable if that condition was met.
Any validation you can write with a few early returns you can write with an equivalent conditional/s followed by a single nested block under it, followed by a single return. The reader is free to leave the validation behind just the same.
And that conditional indents your entire function one level - if you have more validation checks, that's one level of indentation per check (or a complicated condition, depends whether you can validate it all in one place). It's pretty much the case the other user illustrated above.
Returns inside business logic past validation is where the problematic bugs of this class show up
That much we agree. But again, this is not an early return issue, putting too much logic in a function is the issue. Rewriting it without early returns won't make it much clearer. Creating other functions to handle different scenarios will.
Telegram is the only massively popular messaging service that allows everyone to make sure that all of its apps indeed use the same open source code that is published on Github.
Not true. Signal has a very similar client verification process to Telegram's, described here. The lack of an iOS reproducible build is an Apple limitation / nuisance.
It’s very complicated, the 2nd jailbroken device is necessary because there’s no other way to download the .ipa, but even if you manage to do that and bit-for-bit reproduce the .ipa you downloaded from source, there’s no way to know if the App Store is sending every user the same .ipa or if your other, non-jailbroken iPhone downloaded a backdoored one.
Telegram docs even acknowledge these limitations.
Ultimately, this client verification is not the selling point Telegram's founder makes it sound like, since most messages are not E2EE and the server code is closed.
tl;dr "Signal might be untrustworthy because the tech came from a State-sponsored project and the current chairman acknowledges that Wikipedia has a white and Western bias."
just wait until they find out pretty much all tech we have can be traced back to government-funded research.
[HELP] My issues are not getting accepted
I recently created a new Github Account but probably there is some issue with my account....
LO-fucking-L
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Rust's denotational semantics make memory safety possible!
VOID WRONG...
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Explanation: Python is a programming language. Numpy is a library for python that makes it possible to run large computations much faster than in native python. In order to make that possible, it needs to keep its own set of data types that are different from python's native datatypes, which means you now have two different bool...
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Telegram founder and CEO alledges signal has backdoors, they don't provide reproduceible builds, etc.
Here's what he said in a post on his telegram channel:...
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