Today as I was finishing my Go+SvelteKit article, I ran into frustrating
Chrome error message:
Failed to load module script: Expected a JavaScript module script but the
server responded with a MIME type of "text/plain". Strict MIME type checking
is enforced for module scripts per HTML spec.
Don't you just love Chrome? It knows what it needs to do (load a JavaScript
module), but utterly refuses to do that because of a wrong MIME type. This
happened with a client-side SvelteKit application, when it tried to open some
part of the .js code.
At the time of writing, it seemed I could not find the answer easily to this
one, but there actually seems to be a StackOverflow solution discussing
this. But to help others hitting the same issue:
The problem on my Windows install was likely that Windows 10 registry did not
contain a MIME type definition for .js files. Informing user how to tweak
registry to get your program working is not ideal, but thankfully you can
augment the mime types:
import "mime"
func main() {
// Windows may be missing this
mime.AddExtensionType(".js", "application/javascript")
// And then you create the FileServer like you normally would
http.Handle("/", http.FileServer(http.Dir("static")))
}
After adding the mime fix, remember to force reload Chrome page (hold Control key down while you press refresh), otherwise the problem persists as Chrome does not
really bother reloading the offending files.
Continuing from my Project Euler Problem
1,
here are the next two Euler problems and some reflection!
Project Euler Problem 2
The second problem asks to find the sum
of even Fibonacci numbers
numbers below four million. For procedural languages, this is quite walk in the
park, but for me a concise method to produce the series in Clojure proved a bit
of a brain nugget!
Python 3
For Python, I decided to make a simple generator that yields the Fibonacci
numbers below a given treshold N. Rest is just list comprehension:
def fib(N):
i, j = 0, 1
while j < N:
yield(j)
i, j = j, i+j
print(sum(i for i in fib(4e6) if i%2==0))
C++
In C++ it's natural to just loop with a conditional addition. This
time I decided to drop using namespace std; to save a few characters.
Without i, j = j, i+j syntax, the temporary variable ij is a bit ugly.
#include <iostream>
int main() {
int i=0, j=1, s=0;
while(j<4000000) {
if(j%2==0) s += j;
int ij = i + j; i = j; j = ij;
}
std::cout << s << std::endl;
}
}
This site has been migrated from Wordpress to 11ty based static site. I took the posts, categories, tags and comments as JSON data and made the necessary templates for conversion. Everything should be alot faster now.
The look is still a bit bare, and some things like tables seem a bit broken. Will address these issues hopefully during upcoming days, weeks and months. Enjoy!
PS. Comments are currently disabled, I was only receiving spam in any case. You
can check out my homepage at https://joonaspihlajamaa.com/ if you want to
contact me.
I've long thought about learning
Lisp. Some time
ago I ran across Clojure and the map, set and
vector implementations felt like a modern addition. It's running on top of
JVM which is nice in
a sense, but a major pain in the ass when installing. Well, I swallowed my
wow to never install JDK again and got Clojure running quite painlessly.
To learn the ropes, I thought it would be a fun idea to rewrite Project
Euler problems 1-10 with Clojure to see how
it would compare against my language of choice for these types of algorithmic
problems, Python.
Just to make it more fun, I decided to implement them in my second favorite
language, Javascript as well. Since ECMAScript
9,
it's actually a pretty powerful and concise language, and coupling it with
Node.js unleashes some serious usage options outside
just web pages. Npm dependency hell sucks, but that's a topic for another post.
For more bare metal, I'm also doing C++ (basically sticking to C functionality
until maps and sets make themselves useful). Let's see how the languages stack up!
Project Euler Problem 1
The first problem in Project Euler is simple, add up numbers below 1000 that
are divisible with either 3 or 5 (or both). Modulo operator % can be used
to get the remainder of a number when divided by 3 and 5, and basically we
add all numbers that have either modulo as zero.
Python 3
With Python, the most concise implementation is to use the sum(iterable) and
a list comprehension, netting us a nice one-liner:
print(sum(i for i in range(1000) if i%3==0 or i%5==0))
After Angular, React.js and Vue, svelte is the new and
cool kid on the block. I have to admit, the compile-to-plain-javascript
philosophy is nice, and what is especially cool is the fact that with
Rollup.js you can easily bundle a svelte
app into easy-to-embed component.
I wanted to make a simple embeddable Svelte component for a friend of mine,
that would be as simple as possible to include in a blog post, web site or
similar with just:
The script should ideally just put the component in the same place. Turns out
this is really easy with Svelte. Let's dive in!
Setting up Svelte
You may want to read more about
rollup-plugin-svelte and
Making an app from excellent
Svelte tutorial to get more familiar with the tools used here, as I'll only
cover the bare essentials.
First you need to install the necessary plugins. We'll start with Rollup and
install it globally so you can just use rollup command to do things. If
you want, you can also install rollup
locally.
I initially got an error saying something about imports and after a bit of
googling found out that my Ubuntu version of node was very old (node -v
outputted 8.x.x when 10+ was needed) – if you encounter the same issue,
upgrade to a newer node (nvm is a great too to
do this).
Next make a product directory and install svelte and rollup-plugin-svelte:
We'll go really barebones with this tutorial, just a simple heading and a
paragraph. Create a Svelte component Embed.svelte:
<script>
export let name; // from props
</script>
<h1>Hello, {name}!</h1>
<p>This component was brought to you by <a href="https://codeandlife.com/">Code
& Life</a>.</p>
Then we'll need a simple .js script to import that our mini-component and
inject it to the DOM of whatever page has included the resulting script.
Let's call this embed.js:
So, I started writing a file database and toolset called
fileson to take advantage of
AWS S3 Glacier Deep Archive
(let's just call it GDA from now on). With 1 €/mo/TB storage cost, it
is essentially a dirt cheap option to store very infrequently accessed data
like offsite backups.
Why not just use rclone? Well, I disliked the
fact that all tools do a ton of (paid) queries against S3 when syncing.
I thought a simple JSON file database should work to keep track what to
copy and delete. Well, that work is progressing, but as a part of that...
Encrypting on the fly with Python and Pycrypto(dome)
I started thinking that client side encryption would be
useful as well. AES is tried and tested, and it's easy to find sample
code
to do it. But it seems wasteful to first create encrypted files on your
hard drive, then upload them to AWS and finally delete everything.
Luckily, the Python AWS SDK boto3
has a great example on how to upload a file to
S3
with upload_fileobj that accepts "a readable file-like object". What does that
mean? Let's find out!
