cachetools | Extensible memoizing collections and decorators | Architecture library
kandi X-RAY | cachetools Summary
kandi X-RAY | cachetools Summary
Extensible memoizing collections and decorators
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Top functions reviewed by kandi - BETA
- 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
cachetools Key Features
cachetools Examples and Code Snippets
python is /opt/anaconda3/bin/python
python is /usr/local/bin/python
python is /usr/bin/python
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
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
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 # Notice the dot (.)
from my_proj.Google import Create_Service # This assumes that your file is in my_proj/my_proj/Google.py
opencv-python==4.2.0
opencv-python-headless==4.2.0.32
@cachetools.func.ttl_cache(maxsize=10,ttl=10*6)
def getCalc(num):
return num * 10
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
|- 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
Trending Discussions on cachetools
QUESTION
Wanted to call out one GCP api from my python code, following is that method -
...ANSWER
Answered 2022-Mar-21 at 19:14google.auth.transport
is a package, not a module, so the correct way to import it would be
QUESTION
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 aerror: [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 16:13The 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:
- Open the terminal and type the command
type -a python
.
- You will see similar lines
QUESTION
Trying to (re)install Jupyter's nbextension via the following steps in terminal
- pip install jupyter_contrib_nbextensions
- jupyter contrib nbextension install --user
- 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 17:47So 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
- C:\Users-----\AppData\Local\Programs\Python\Python310
- 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
I uninstalled python (done that before didnt help doing just that alone)
Deleted all environment variables pointing to python (here is what environment variables are just in case - https://www.computerhope.com/issues/ch000549.htm)
Uninstalled python extension from VS code (https://marketplace.visualstudio.com/items?itemName=ms-python.python)
Deleted Python folders mentioned in the two paths above
Then reinstalled python (clicked add to path during installation)
Reinstalled VS code python extension
Everything works now.
Best of luck
QUESTION
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 08:22Sol 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.
QUESTION
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 00:17I reverted back to Xorg from wayland and its working, no more warnings
Here are the steps:
- Disbled Wayland by uncommenting
WaylandEnable=false
in the/etc/gdm3/custom.conf
- Add
QT_QPA_PLATFORM=xcb
in/etc/environment
- Check whether you are on Wayland or Xorg using:
QUESTION
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 22:25After 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
QUESTION
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 17:35After 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.
QUESTION
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 08:11The problem was caused by jupyter/tensorflow being loaded in the background. The following solved the issue:
QUESTION
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 09:19It 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
QUESTION
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 22:37The error says MemoryError
. You must upgrade your ec2 instance to something with more memory. tensorflow
is very memory hungry application.
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Install cachetools
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.
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