lru_cache | A C implementation of a LRU cache | Caching library

 by   nitnelave C++ Version: Current License: MPL-2.0

kandi X-RAY | lru_cache Summary

kandi X-RAY | lru_cache Summary

lru_cache is a C++ library typically used in Server, Caching applications. lru_cache has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

A C++ implementation of a LRU cache
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            kandi-support Support

              lru_cache has a low active ecosystem.
              It has 9 star(s) with 4 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              lru_cache has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of lru_cache is current.

            kandi-Quality Quality

              lru_cache has 0 bugs and 0 code smells.

            kandi-Security Security

              lru_cache has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              lru_cache code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              lru_cache is licensed under the MPL-2.0 License. This license is Weak Copyleft.
              Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

            kandi-Reuse Reuse

              lru_cache releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            lru_cache Key Features

            No Key Features are available at this moment for lru_cache.

            lru_cache Examples and Code Snippets

            No Code Snippets are available at this moment for lru_cache.

            Community Discussions

            QUESTION

            Pandas pd.apply function work with python caches cannot be hashed"
            Asked 2022-Apr-01 at 20:44

            I have a df,you can have it by run the following code:

            ...

            ANSWER

            Answered 2022-Apr-01 at 20:44

            From the docs:

            Since a dictionary is used to cache results, the positional and keyword arguments to the function must be hashable.

            With df.apply(..., axis=1), you're passing a row (which is a Series object) which is not hashable, so you get the error.

            One way to get around the issue is to apply var_func on a column:

            Source https://stackoverflow.com/questions/71712146

            QUESTION

            Space complexity of word break algorithm
            Asked 2022-Mar-27 at 00:39

            One approach to solve https://leetcode.com/problems/word-break/ is to use an array for memoization.

            The solution claims that it will have a space complexity of O(N).

            However, I think it should be closer to O(N^2) because at each recursive level, we do a substring operation s[start:end]. Is this accurate?

            ...

            ANSWER

            Answered 2022-Mar-27 at 00:39

            However, I think it should be closer to O(N^2) because at each recursive level, we do a substring operation s[start:end]. Is this accurate?

            Not in this case. Let's break down the operations in this line:

            Source https://stackoverflow.com/questions/71632725

            QUESTION

            How do I optimize this XML parsing loop for speed?
            Asked 2022-Mar-24 at 03:37

            I wrote a piece of code which parses through around a hundred XML files and creates a single dataframe. The code works fine but can take a pretty long time, a little less than an hour to run. I'm sure there is a way to improve this loop by only using dataframe objects at the end of the loop, or maybe you don't need the triple-nested loop to parse all the info into the dataframe, but this is the only way I was able to do it as a novice.

            My code looks like this :

            ...

            ANSWER

            Answered 2022-Mar-24 at 03:37

            As noted in the comments on your question, a large chunk of the time is being spent decoding JSON in your id2name function. While the results of the function are cached, the parsed JSON object is not, which means you are loading the JSON file from disk and parsing it each time you look up a new ID.

            Assuming that you are loading the same JSON file each time, this means you should get an immediate speed-up by caching the parsed JSON object. You can do that by restructuring your id2name function as follows.

            Source https://stackoverflow.com/questions/71572701

            QUESTION

            How to convert the recursive solution to "Moons and Umbrellas" to DP?
            Asked 2022-Mar-13 at 09:05

            I'm trying to come up with a DP solution to Moons and Umbrellas from Code Jam's Qualification Round 2021. Below is my working recursive solution, based on their analysis:

            ...

            ANSWER

            Answered 2021-Nov-01 at 07:56

            This solution works for all 3 Test sets:

            Source https://stackoverflow.com/questions/69789355

            QUESTION

            lru caching not working between application runs for same argument on Flask App
            Asked 2022-Mar-09 at 14:24

            *Edit: just realized I made a mistake in my function design where I re-instantiated the AppDAO in my Class1 function and that is what was causing the unexpected behavior. I figured it out by printing the self argument in cache_call.

            I have a Flask App with the following design:

            ...

            ANSWER

            Answered 2022-Mar-08 at 01:25

            QUESTION

            Add Mouse Motion functionality to PyQt based Bezier Drawer
            Asked 2022-Feb-25 at 21:05

            I am trying to modify my code below to take-in mouse events (click, drag, release) such that the control points can be selected and moved, resulting in change in the curve. I am not sure where to begin, any suggestions? The control points are marked as red dots, the curve is in blue.

            This would basically let me modify the curve within the gui. Any reference would be appreciated as well.

            ...

            ANSWER

            Answered 2022-Feb-20 at 21:21

            As it was suggested, for more "serious" application, You should go for GraphicsView.
            Your app was however almost done with simple drawing. It's not a big deal to to modify it to work as You want.

            I made few changes to Your code. You have to make list of control points as a attribute of Your BezierDrawer. Then You can use events: mousePressEvent, mouseMoveEvent and mouseReleaseEvent to interact with control points.

            First we need to find out, if any point was clicked in mousePressEvent and then just update it's position while dragging. Every change of point position must end with update method, to repaint widget.

            Here is modified code:

            Source https://stackoverflow.com/questions/71191764

            QUESTION

            Reducing redundancy for calculating large number of integrals numerically
            Asked 2022-Feb-25 at 12:01

            I need to calculate the following integral on a 2D-grid (x,y positions):

            with r = sqrt(x^2 + y^2) and the 2D-grid centered at x=y=0. The implementation is straightforward:

            ...

            ANSWER

            Answered 2022-Feb-25 at 12:01

            You can use Numba to speed up the computation of quad. Here is an example:

            Source https://stackoverflow.com/questions/71244504

            QUESTION

            Convert a recursive python code to a non-recursive version
            Asked 2022-Feb-21 at 13:41

            The code provided here works unless we start to increase the distinct and n-symbols and length, for example, on my computer n_symbols=512, length=512, distinct=300 ends up with this error RecursionError: maximum recursion depth exceeded in comparison and then overflow errors if I increase the lru_cache value.
            What I want is to have a non-recursive version of this code.

            ...

            ANSWER

            Answered 2022-Feb-18 at 11:18

            QUESTION

            pylint support for Python 3.10.2
            Asked 2022-Feb-20 at 18:31

            pylint throw an AttributeError after I updated my python from 3.6.7 to 3.10.2. It worked fine in 3.6.7.

            ...

            ANSWER

            Answered 2022-Feb-20 at 18:24

            The actual error seems to be happening in isort, would you mind upgrading the isort version ? (pip install isort -U) pylint is compatible with a wide range of isort versions. Some of those isort versions might not be compatible with python 3.10 (in this case the isort that was initially installed alongside pylint for python 3.6) when you upgrade pylint it might not upgrade isort automatically.

            Source https://stackoverflow.com/questions/71197337

            QUESTION

            Python: Setting attribute that is a lambda that just returns a dictionary
            Asked 2022-Feb-18 at 20:30

            While learning about decorator and decorator factories, I checked the source code of the @functools.lru_cache since it allows both usages using one single implementation. And I spotted something that is intriguing me. In the following statement wrapper.cache_parameters = lambda : {'maxsize': maxsize, 'typed': typed} extracted from this piece of code from the CPython implementation:

            ...

            ANSWER

            Answered 2022-Feb-18 at 20:30

            After thinking a bit on the subject I came to this conclusion. But if there's another reason or you have a more complete explanation, please post an answer so I can accept it :)

            Dictionaries are mutable objects in Python. This means that anyone that has a reference to a dictionary can change it. So I think that the usage of the lambda here is a trick to make this a read-only attribute. Take a look at the following example:

            Source https://stackoverflow.com/questions/71177943

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install lru_cache

            You can download it from GitHub.

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            gh repo clone nitnelave/lru_cache

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            git@github.com:nitnelave/lru_cache.git

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