cachetools | Extensible memoizing collections and decorators | Architecture library

 by   tkem Python Version: 5.3.3 License: MIT

kandi X-RAY | cachetools Summary

kandi X-RAY | cachetools Summary

cachetools is a Python library typically used in Architecture applications. cachetools has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install cachetools' or download it from GitHub, PyPI.

Extensible memoizing collections and decorators
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            kandi-support Support

              cachetools has a medium active ecosystem.
              It has 1639 star(s) with 141 fork(s). There are 27 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 6 open issues and 216 have been closed. On average issues are closed in 161 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of cachetools is 5.3.3

            kandi-Quality Quality

              cachetools has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              cachetools is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              cachetools releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              cachetools saves you 686 person hours of effort in developing the same functionality from scratch.
              It has 1878 lines of code, 217 functions and 18 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed cachetools and discovered the below as its top functions. This is intended to give you an instant insight into cachetools implemented functionality, and help decide if they suit your requirements.
            • Decorator to cache methods
            • Clear the cache
            • Pop an item from the queue
            • Expire the cache
            • Remove a key from the dict
            • Pop an item from the list
            • Create lu cache
            • Cache a function
            • Create a lru cache
            • Create a FIFO cache
            • Return a random cache
            • Wrapper for ttl cache
            • Wrapper for mru cache
            • Remove an item from the list
            • Remove the most common item from the set
            • Generate a typed key
            • Create a hash of the given arguments
            • Get the version number
            Get all kandi verified functions for this library.

            cachetools Key Features

            No Key Features are available at this moment for cachetools.

            cachetools Examples and Code Snippets

            No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib'
            Pythondot img1Lines of Code : 4dot img1License : Strong Copyleft (CC BY-SA 4.0)
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            python is /opt/anaconda3/bin/python
            python is /usr/local/bin/python
            python is /usr/bin/python
            
            copy iconCopy
            echo $XDG_SESSION_TYPE
            
            detach().cpu() kills kernel
            Pythondot img3Lines of Code : 8dot img3License : Strong Copyleft (CC BY-SA 4.0)
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            def Exec_ShowImgGrid(ObjTensor, ch=1, size=(28,28), num=16):
                #tensor: 128(pictures at the time ) * 784 (28*28)
                Objdata= ObjTensor.detach().cpu().view(-1,ch,*size) #128 *1 *28*28 
                Objgrid= make_grid(Objdata[:num],nrow=4).permute
            How to resolve compatibility issues for Tensorflow and associated packages?
            Pythondot img4Lines of Code : 7dot img4License : Strong Copyleft (CC BY-SA 4.0)
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            module purge
            module load devel/cuda
            /usr/bin/python3.8 -m venv venv
            source venv/bin/activate
            pip install --upgrade pip
            pip install -r requirements.txt
            
            from Google import Create_Service ModuleNotFoundError: No module named 'Google'
            Pythondot img5Lines of Code : 48dot img5License : Strong Copyleft (CC BY-SA 4.0)
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            import pickle
            import os
            from google_auth_oauthlib.flow import Flow, InstalledAppFlow
            from googleapiclient.discovery import build
            from googleapiclient.http import MediaFileUpload, MediaIoBaseDownload
            from google.auth.transport.requests impo
            from Google import Create_Service ModuleNotFoundError: No module named 'Google'
            Pythondot img6Lines of Code : 4dot img6License : Strong Copyleft (CC BY-SA 4.0)
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            from .Google import Create_Service  # Notice the dot (.)
            
            from my_proj.Google import Create_Service  # This assumes that your file is in my_proj/my_proj/Google.py
            
            OpenCV error on Heroku but model successfully deployed
            Pythondot img7Lines of Code : 4dot img7License : Strong Copyleft (CC BY-SA 4.0)
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            opencv-python==4.2.0
            
            opencv-python-headless==4.2.0.32
            
            Cache function or view?
            Pythondot img8Lines of Code : 4dot img8License : Strong Copyleft (CC BY-SA 4.0)
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            @cachetools.func.ttl_cache(maxsize=10,ttl=10*6)
            def getCalc(num):
                return num * 10
            
            How to ignore function arguments with cachetools ttl_cache
            Pythondot img9Lines of Code : 26dot img9License : Strong Copyleft (CC BY-SA 4.0)
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            class PackedArgs(tuple):
                def __hash__(self):
                    return hash(self[0])
            
                def __eq__(self, other):
                    if isinstance(other, self.__class__):
                        return self[0] == other[0]
                    else:
                        return NotImplemente
            Package streamlit app and run executable on windows
            Pythondot img10Lines of Code : 121dot img10License : Strong Copyleft (CC BY-SA 4.0)
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            |- wheels/
            |- installer.cfg
            |- src
                |- main.py
                |- run_app.py
            
            import streamlit as st
            
            st.title("Test")
            st.title("My first app deployed with Pynsist!")
            
            import os
            import subprocess
            impo

            Community Discussions

            QUESTION

            Google Service account authentication for API call using python
            Asked 2022-Mar-21 at 19:25

            Wanted to call out one GCP api from my python code, following is that method -

            ...

            ANSWER

            Answered 2022-Mar-21 at 19:14

            google.auth.transport is a package, not a module, so the correct way to import it would be

            Source https://stackoverflow.com/questions/71562904

            QUESTION

            No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib'
            Asked 2022-Mar-13 at 16:13

            I am trying to build an app from a python file (Mac OS) using the py2app extension. I have a folder with the python file and the "setup.py" file.

            • I first tested the app by running python setup.py py2app -A in the terminal and the dist and build folder are successfully created and the app works when launched.
            • Now when I try to build it non-locally by running the command python setup.py py2app in the terminal, there are various "WARNING: ImportERROR" messages while building and finally a error: [Errno 2] No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib' error.

              How can I fix this? I've tried to delete anaconda fully as I don't use it but it seems to still want to run through it. Additionally, I have tried to run the build command using a virtual environment but I end up having even more import errors.
              *I Left out a lot of the "skipping" and "warning" lines using "..." for space
            ...

            ANSWER

            Answered 2022-Mar-13 at 16:13

            The error error: [Errno 2] No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib' was caused by py2app trying to build the program bundle using a non-existent interpreter. This means that even if you try to uninstall a manager like Anaconda, it still has option logs somewhere on your mac.

            The fix:

            1. Open the terminal and type the command type -a python.
            • You will see similar lines

            Source https://stackoverflow.com/questions/71414043

            QUESTION

            jupyter contrib nbextension install gives Jupyter command `jupyter-contrib` not found
            Asked 2022-Mar-01 at 17:47

            Trying to (re)install Jupyter's nbextension via the following steps in terminal

            1. pip install jupyter_contrib_nbextensions
            2. jupyter contrib nbextension install --user
            3. install --user jupyter nbextension enable varInspector/main

            Step 1 = runs and i am able to launch notebooks via "jupyter notebook" in terminal just fine.

            Step 2 = fails with

            ...

            ANSWER

            Answered 2022-Mar-01 at 17:47

            So in case anyone comes across similar for any reason with me encountering this probably due getting a new machine and IT doing their voodoo magic transferring my old stuff to this new machine.

            Anyhow, there were a bunch of things I still needed to install after I got my new machine and i am not able to exactly pin point what caused issues from my question but in the end I was able to resolve. Follow me there below ...

            Checking out my python.exe files I found 2 paths. First one added as environment variable

            1. C:\Users-----\AppData\Local\Programs\Python\Python310
            2. C:\Users----\AppData\Roaming\Python\Python310\

            Second one not added. Adding roaming version to path variables did not solve the issue and gave additional errors instead: Fatal error in launcher: Unable to create process using '"C:\Program Files\Python310\python.exe"

            So

            1. I uninstalled python (done that before didnt help doing just that alone)

            2. Deleted all environment variables pointing to python (here is what environment variables are just in case - https://www.computerhope.com/issues/ch000549.htm)

            3. Uninstalled python extension from VS code (https://marketplace.visualstudio.com/items?itemName=ms-python.python)

            4. Deleted Python folders mentioned in the two paths above

            5. Then reinstalled python (clicked add to path during installation)

            6. Reinstalled VS code python extension

            7. Everything works now.

            Best of luck

            Source https://stackoverflow.com/questions/71257767

            QUESTION

            Azure function deployment failed: "Malformed SCM_RUN_FROM_PACKAGE when uploading built content"
            Asked 2022-Mar-01 at 17:42

            I have two Azure accounts. And I tried to deploy the same function to these two accounts (to the function apps). The deployment to the 1st account - successful, but to the 2nd account - failed.

            The only big difference between the two accounts is that I do not have direct access to the resource group that the 2nd account's function app uses (I have access to the resource group at the 1st account). May it be the reason why I can't deploy the program to the function app at the 2nd account?

            Deploy output of the function app at the 1st account:

            ...

            ANSWER

            Answered 2022-Mar-01 at 08:22

            Sol 1 : In my case the problem was due exclusively to the "Queue Storage" function.
            Once deleted from Local Sources, if I had managed to delete it from the APP Service everything would have worked again.
            Sol 2: Sometimes issue in VSCode, I was building with with Python 3.7 even though 3.6 was installed. Uninstalling Python 3.7 and forcing 3.6 build resolved my issue.

            For further ref1, ref2.

            Source https://stackoverflow.com/questions/71289045

            QUESTION

            Warning: Ignoring XDG_SESSION_TYPE=wayland on Gnome. Use QT_QPA_PLATFORM=wayland to run on Wayland anyway
            Asked 2022-Mar-01 at 16:58

            I try to use library cv2 for changing picture. In mode debug I found out that problem in function cv2.namedWindow:

            ...

            ANSWER

            Answered 2021-Nov-07 at 00:17

            I reverted back to Xorg from wayland and its working, no more warnings

            Here are the steps:

            1. Disbled Wayland by uncommenting WaylandEnable=false in the /etc/gdm3/custom.conf
            2. Add QT_QPA_PLATFORM=xcb in /etc/environment
            3. Check whether you are on Wayland or Xorg using:

            Source https://stackoverflow.com/questions/69828508

            QUESTION

            detach().cpu() kills kernel
            Asked 2022-Feb-28 at 22:25

            Background
            I am trying to plot an image noise using pytorch, however, when I reach to that point, the kernel dies. I am attempting the same code at Google Colab where I do get results

            Result at Google Colab

            Result at Jupyter

            I do not think that it has something to do with the code itself, but I am posting the function to plot the grid:

            ...

            ANSWER

            Answered 2022-Feb-28 at 22:25

            After a few days I was able to find the solution

            Firstly, my code needed to be fixed to correctly call the params needed with the proper name

            Source https://stackoverflow.com/questions/71225998

            QUESTION

            ImportError: cannot import name 'tasks_v2' from 'google.cloud' (unknown location) in Python fastapi
            Asked 2022-Feb-09 at 17:35

            I'm trying to incorporate google-cloud-tasks Python client within my fastapi app. But it's giving me an import error like this:

            ...

            ANSWER

            Answered 2022-Feb-09 at 17:35

            After doing some more research online I realized that installation of some packages is missed due to some existing packages. This issue helped me realize I need to reorder the position of google-cloud-tasks in my requirements.txt. So what I did was pretty simple, created a new virtualenv installed google-cloud-tasks as my first package and then installed everything else and finally the problem is solved.

            Long story short the issue is the order in which packages are installed and that's why some packages are getting missed.

            Source https://stackoverflow.com/questions/71050817

            QUESTION

            How to resolve compatibility issues for Tensorflow and associated packages?
            Asked 2022-Feb-09 at 08:11

            I cannot find a way to pip install the following Python modules without compatibility issues (from a requirements.txt file, on Red Hat Enterprise Linux release 8.2):

            ...

            ANSWER

            Answered 2022-Feb-09 at 08:11

            The problem was caused by jupyter/tensorflow being loaded in the background. The following solved the issue:

            Source https://stackoverflow.com/questions/71036415

            QUESTION

            Colab: (0) UNIMPLEMENTED: DNN library is not found
            Asked 2022-Feb-08 at 19:27

            I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:

            ...

            ANSWER

            Answered 2022-Feb-07 at 09:19

            It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason

            Source https://stackoverflow.com/questions/71000120

            QUESTION

            AWS Elastic Beanstalk - Failing to install requirements.txt on deployment
            Asked 2022-Feb-05 at 22:37

            I have tried the similar problems' solutions on here but none seem to work. It seems that I get a memory error when installing tensorflow from requirements.txt. Does anyone know of a workaround? I believe that installing with --no-cache-dir would fix it but I can't figure out how to get EB to do that. Thank you.

            Logs:

            ...

            ANSWER

            Answered 2022-Feb-05 at 22:37

            The error says MemoryError. You must upgrade your ec2 instance to something with more memory. tensorflow is very memory hungry application.

            Source https://stackoverflow.com/questions/71002698

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

            Vulnerabilities

            No vulnerabilities reported

            Install cachetools

            You can install using 'pip install cachetools' or download it from GitHub, PyPI.
            You can use cachetools like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

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            pip install cachetools

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