cached-property | A decorator for caching properties in classes | Caching library

by pydanny Python Version: 1.5.2 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | cached-property Summary

cached-property is a Python library typically used in Server, Caching applications. cached-property has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install cached-property' or download it from GitHub, PyPI.

A decorator for caching properties in classes.

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Quality

Security

License

Reuse

Support

cached-property has a low active ecosystem.

It has 668 star(s) with 74 fork(s). There are 15 watchers for this library.

It had no major release in the last 12 months.

There are 27 open issues and 25 have been closed. On average issues are closed in 544 days. There are 19 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of cached-property is 1.5.2

Quality

cached-property has 0 bugs and 0 code smells.

Security

cached-property has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

cached-property code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cached-property is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

cached-property releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

cached-property saves you 103 person hours of effort in developing the same functionality from scratch.

It has 450 lines of code, 61 functions and 7 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed cached-property and discovered the below as its top functions. This is intended to give you an instant insight into cached-property implemented functionality, and help decide if they suit your requirements.

Get the value of the object .
Wrap the function in a coroutine .
Initialize the cache .
Prepare the function .
Read content of file .
Prepare a function .

Get all kandi verified functions for this library.

cached-property Key Features

No Key Features are available at this moment for cached-property.

cached-property Examples and Code Snippets

No Code Snippets are available at this moment for cached-property.

Community Discussions

Trending Discussions on cached-property

ModuleNotFoundError: No module named 'airflow.providers.slack' Airflow 2.0 (MWAA)

Colab: (0) UNIMPLEMENTED: DNN library is not found

Attribute error: json file processing .dt accessor with datetimelike values

Install Odoo Source dependencies on Windows 10 Error

Python timezone determination and manipulation with tzwhere produce objects rather than datetime64s in some situations

Running odoo in Debugging VSCode and found error ModuleNotFoundError: No module named 'stdnum' - - -

Difference between functool's cache and lru_cache

UnsatisfiableError on importing environment pywin32==300 (Requested package -> Available versions)

Tensorflow Object Detection Api M1 Macbook Conflict Error

Multipoint(df['geometry']) key error from dataframe but key exist. KeyError: 13 geopandas

QUESTION

ModuleNotFoundError: No module named 'airflow.providers.slack' Airflow 2.0 (MWAA)

Asked 2022-Apr-10 at 04:33

I am using Airflow 2.0 and have installed the slack module through requirements.txt in MWAA. I have installed all the below packages, but still, it says package not found

...

ANSWER

Answered 2022-Apr-10 at 04:33

By default, MWAA is constrained to using version 3.0.0 for the package apache-airflow-providers-slack. If you specify version 4.2.3 in requirements.txt, it will not be installed (error logs should be available in CloudWatch). You'll have to downgrade to version 3.0.0.

apache-airflow-providers-slack (constraints.txt)

Add constraints file to the top of requirements.txt to use version 4.2.3 of apache-airflow-providers-slack.

Add the constraints file for your Apache Airflow v2 environment to the top of your requirements.txt file.

Source https://stackoverflow.com/questions/71801641

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

Attribute error: json file processing .dt accessor with datetimelike values

Asked 2022-Jan-25 at 23:34

I have a bunch of .json files that I am trying to access. I need to calculate the growing season of a particular crop based on the planting and harvest dates.

Problem: With the following code, I get this error: AttributeError: Can only use .dt accessor with datetimelike values

Code:

...

ANSWER

Answered 2022-Jan-25 at 21:12

I was able to make it work. Here is the updated code. Right after pd.concat, the following code helped:

Source https://stackoverflow.com/questions/70854703

QUESTION

Install Odoo Source dependencies on Windows 10 Error

Asked 2022-Jan-11 at 10:47

I am trying to install Odoo15 Source dependencies on windows 10. I run pip install -r requirements.txt. Then this error occurs

...

ANSWER

Answered 2022-Jan-11 at 10:47

Try using psutil version 5.6.7.

Source

Source https://stackoverflow.com/questions/70662044

QUESTION

Python timezone determination and manipulation with tzwhere produce objects rather than datetime64s in some situations

Asked 2022-Jan-07 at 21:48

I have millions of rows containing a UTC datetime64 with timezone information and Latitude/Longitude pairs. For each row I need to know the local timezone and create a column containing the local time. To do this I use the tzwhere package.

A simple data set that illustrates the problem:

...

ANSWER

Answered 2022-Jan-07 at 21:48

Here's some suggestions; given the example DataFrame

Source https://stackoverflow.com/questions/70608478

QUESTION

Running odoo in Debugging VSCode and found error ModuleNotFoundError: No module named 'stdnum' - - -

Asked 2021-Dec-27 at 17:01

i using VSCode as my IDE for development odoo and for now run using Start > Debugging ( F5)

While running at web browser localhost:8069 ( default ) then appear Internal Server Error and in terminal VSCode there are errors :

...

ANSWER

Answered 2021-Dec-27 at 17:01

After trying for a few days and just found out that pip and python in the project are not pointing to .venv but to anaconda due to an update. when error

no module stdnum

actually there is a problem with pip so make sure your pip path with which pip or which python

to solve .venv that doesn't work by deleting the .venv folder, create venv in python, and install all requirements again

Source https://stackoverflow.com/questions/70457690

QUESTION

Difference between functool's cache and lru_cache

Asked 2021-Dec-10 at 08:10

Recently I came across functools.cache and didn't know how it differs from functools.lru_cache.

I found posts about the difference between functools.cached_property and lru_cache but nothing specifically for cache and lru_cache.

...

ANSWER

Answered 2021-Dec-10 at 08:10

functools.cache was newly added in version 3.9.

The documentation states:

Simple lightweight unbounded function cache. Sometimes called “memoize”.

Returns the same as lru_cache(maxsize=None), creating a thin wrapper around a dictionary lookup for the function arguments. Because it never needs to evict old values, this is smaller and faster than lru_cache() with a size limit.

Example from the docs:

Source https://stackoverflow.com/questions/70301475

QUESTION

UnsatisfiableError on importing environment pywin32==300 (Requested package -> Available versions)

Asked 2021-Dec-03 at 14:58

Good day

I am getting an error while importing my environment:

...

ANSWER

Answered 2021-Dec-03 at 09:22

Build tags in you environment.yml are quite strict requirements to satisfy and most often not needed. In your case, changing the yml file to

Source https://stackoverflow.com/questions/70209921

QUESTION

Tensorflow Object Detection Api M1 Macbook Conflict Error

Asked 2021-Nov-12 at 08:20

Machine: MacBook Air M1 2020

OS: macOs BigSur 11.4

Python version of venv: Python 3.8.6

Tensorflow version: ATF Apple Tensorflow 0.1a3

Pip version: 21.2.4

I have installed Tensorflow from github using this guide.

Now, my pip list is this.

...

ANSWER

Answered 2021-Sep-07 at 09:57

I have the same issue installing the Object Detection API for Tensorflow 2 (OD API) from sources on my MacBook Air M1 2020. It starts to lookup/download all available dependencies with very long errors and after several hours the process drains all available RAM and forces the laptop to reboot. I think the problem is with incompatible dependencies for arm64. I tried to build/install OD API for Tensorflow 1 instead and it worked! I successfully trained a model with TensorFlow 2 and GPU enabled.

Use the tf1 folder when you installing the OD API instead of tf2:

Source https://stackoverflow.com/questions/68945096

QUESTION

Multipoint(df['geometry']) key error from dataframe but key exist. KeyError: 13 geopandas

Asked 2021-Oct-11 at 14:51

data source: https://catalog.data.gov/dataset/nyc-transit-subway-entrance-and-exit-data

I tried looking for a similar problem but I can't find an answer and the error does not help much. I'm kinda frustrated at this point. Thanks for the help. I'm calculating the closest distance from a point.

...

ANSWER

Answered 2021-Oct-11 at 14:21

geopandas 0.10.1

have noted that your data is on kaggle, so start by sourcing it
there really is only one issue shapely.geometry.MultiPoint() constructor does not work with a filtered series. Pass it a numpy array instead and it works.
full code below, have randomly selected a point to serve as gpdPoint

Source https://stackoverflow.com/questions/69521034

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

Vulnerabilities

No vulnerabilities reported

Install cached-property

You can install using 'pip install cached-property' or download it from GitHub, PyPI.
You can use cached-property 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 .

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