For @cached_property decorated methods, is there a built-in way to iterate through all of these attributes? My use case is that I’d like to clear all cached properties with the del operator without bookkeeping for them manually in something like a list. Here’s a canned example. __init__ could do something fancy like load data from a file that needs to
Tag: caching
Wrong result if a recursive function is called twice successively with different parameters
I have this recursive function: When I print this: It shows -1, which is correct. But, when I print this: It shows 3 then 2. As you can see, the result of print(coinChange([2], 3)) weirdly changed from -1 to 2. The memo is the reason for causing that wrong answer. But I don’t know how to update the function so
Longest Increasing Subsequence using recursion and cache
i’ve been trying to implement a cache in my recursive LIS function so it doesn’t calculate the same value twice. I would really aprecciate if someone can give me a hint of what im getting wrong. This is the recursive function that returns the LIS array that works fine: This is the same function but implementing a cache, it gives
@lru_cache decorator excessive cache misses
How can you configure lru_cache to key its cache based on actual values received, rather than how the function was called? In other words, only the first call above should be a cache miss, the other two should be cache hits. Answer To do that, you would have to go through the process of binding arguments to formal parameters. The
How to cache pip packages within Azure Pipelines
Although this source provides a lot of information on caching within Azure pipelines, it is not clear how to cache Python pip packages for a Python project. How to proceed if one is willing to cache Pip packages on an Azure pipelines build? According to this, it may be so that pip cache will be enabled by default in the
Can One Replace or Remove a specific key from functools.lru_cache?
I’m using a functools.lru_cache to serve temp file paths given certain input*. However in case the path no longer exists, I would like to remove/replace the single corresponding key. The cache_clear() method would be overkill and cache_info() do not appear to help. Thanks for your help! * The method being cached streams a fileobj from S3 to a local temp
Python functools lru_cache with instance methods: release object
How can I use functools.lru_cache inside classes without leaking memory? In the following minimal example the foo instance won’t be released although going out of scope and having no referrer (other than the lru_cache). But foo and hence foo.big (a BigClass) are still alive That means that Foo/BigClass instances are still residing in memory. Even deleting Foo (del Foo) will
Python in-memory cache with time to live
I have multiple threads running the same process that need to be able to to notify each other that something should not be worked on for the next n seconds its not the end of the world if they do however. My aim is to be able to pass a string and a TTL to the cache and be able
Global variable/Variable caching in Django
In my website, I want to present to the user the most viewed product categories in a sidebar, in multiple pages. so in each different view I have: and in the various templates and in that one: However, I would like to calculate the most_viewed_categories value only once every 2 days or so, instead of calculating it in every view.