shortuuid | generator library for concise | Identity Management library
kandi X-RAY | shortuuid Summary
kandi X-RAY | shortuuid Summary
A Go library that generates concise, unambiguous, URL-safe UUIDs. Based on and compatible with the Python library shortuuid. Often, one needs to use non-sequential IDs in places where users will see them, but the IDs must be as concise and easy to use as possible. shortuuid solves this problem by generating UUIDs using google/uuid and then translating them to base57 using lowercase and uppercase letters and digits, and removing similar-looking characters such as l, 1, I, O and 0.
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QUESTION
We are using poetry to upgrade packages and deploy to our servers but some issue is stopping us from deploying our work continuously to our servers.The code below is the stacktrack where our code stops.
...ANSWER
Answered 2021-Sep-24 at 09:14I encountered the same error some time ago. The issue seems to be connected with the latest upgrade of setuptools package (https://setuptools.pypa.io/en/latest/history.html#v58-0-0). The workaround that is working for me is to use setuptools<=57.5.0.
QUESTION
This is a specific instance of a general problem that I run into when updating packages using conda. I have an environment that is working great on machine A. I want to transfer it to machine B. But, machine A has GTX1080 gpus, and due to configuration I cannot control, requires cudatoolkit 10.2. Machine B has A100 gpus, and due to configuration I cannot control, requires cudatoolkit 11.1
I can easily export Machine A's environment to yml, and create a new environment on Machine B using that yml. However, I cannot seem to update cudatoolkit to 11.1 on that environment on Machine B. I try
...ANSWER
Answered 2021-Mar-22 at 03:02I'd venture the issue is that recreating from a YAML that includes versions and builds will establish those versions and builds as explicit specifications for that environment moving forward. That is, Conda will regard explicit specifications as hard requirements that it cannot mutate and so if even a single one of the dependencies of cudatoolkit also needs to be updated in order to use version 11, Conda will not know how to satisfy it without violating those previously specified constraints.
Specifically, this is what I see when searching (assuming linux-64 platform):
QUESTION
I wrote a small flask server. I tried to handle POST parameters. This is the snippet, for the route that handles that POST request.
...ANSWER
Answered 2021-Feb-03 at 14:39127.0.0.1/convert:5000 is the wrong way around, you need to use the port before the path 127.0.0.1:5000/convert
You also need to change your request method to access post data, request.args.get('item') is for url parameter, but what you are sending is post data, thus you should use request.form.get('item')
QUESTION
Well Here I am trying to deploy my first django app and getting error :ModuleNotFoundError: No module named 'jinja2'. I don't know where jinja came from. In my requirement file there is no jinja. Tell me if you know how to fix it. I shall be very thankful to you.
trackback:
...ANSWER
Answered 2020-Dec-15 at 21:30Based on the traceback and the requirements.txt of the knox project [GitHub], knox needs Jinja, indeed:
QUESTION
I have created virtual env with anaconda prompt and created my django project in that env. I have created repository on github and push my code there and also create app on heroku but when i am running this git push heroku main command, it showing me an error which I have given below:
ERROR: Could not install packages due to an EnvironmentError: [Errno 2] No such file or directory: '/tmp/build/80754af9/asgiref_1605055780383/work'..
traceback:
...ANSWER
Answered 2020-Dec-15 at 18:48Edit your requirements to point to asgiref version instead of temporary file
For example
QUESTION
I want to generate very short unique iD in my apps for sharing stuff between users and i don't want theses codes to be too long or too complicated.
I found shortid 0.1.1 (https://pub.dev/packages/shortid) but it seems to be deprecate and not maintained.
Also found shortuuid that can do the trick but a bit long (https://pub.dev/packages/shortuuid) i will take this option if no one can find a better one.
Looking for something like this
...ANSWER
Answered 2020-Oct-02 at 15:28Prefer UUID(https://pub.dev/packages/uuid)
Dependency:
QUESTION
I am using anaconda as an environment manager for my code. When i installed anaconda and created the environments everything worked fine. But when i came back the next day and activated the environment i keep getting a ModuleNotFoundError
...ANSWER
Answered 2020-May-17 at 15:35This doesn't sound good: "When i installed python and anaconda i set both the installers to ADD TO PATH."
- Anaconda is a Python distribution. You need this one installer only.
- Don't add Anaconda's python.exe to the PATH. This is not how environments work.
- If you want to work with Anaconda, you need to activate at least the base environment using the 'conda' environment manager. This is how Python can find e.g. numpy's C-libraries.
- You can install Python from python.org in parallel to Anaconda, but this is asking for trouble.
QUESTION
The UUID standard has several versions. Version 4 for example is based on a completely random input. But it still encodes the version information and only uses 125bits of the possible 128 bits.
But for transferring these via HTTP, it is more efficient to encode them in BASE64. There are libraries for this (https://github.com/skorokithakis/shortuuid).
But what I am wondering: Is there an alternative standard for shorter ID-strings? Of course I could slap together a version-byte + n random bytes and encode them BASE64, having my own working 'short, random ID scheme', but I wonder if there is any alternative that someone already specified before I make my own.
...ANSWER
Answered 2020-Apr-16 at 14:35There is no standard for anything shorter.
Numerous folks have asked the same question and all come to the same conclusion: UUIDs are overkill for their specific requirements. And they developed their own alternatives, which essentially boil down to a random string of some length (based on the expected size of their dataset) in a more efficient encoding like base64. Many of them have published libraries for working with these strings. However, all of them suffer from the same two problems:
- They cannot handle arbitrarily large datasets (the reason UUIDs are so big)
- They are not standardized, which means there is no real interop.
If neither of these problems affect you, then feel free to pick any of the various schemes available or roll your own. But do consider the future costs if you discover you're wrong about your requirements and whether the cost of having to change justifies whatever minuscule advantage in space or complexity you get by not using a proven, universal system from the start.
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