LazyProperty | : rainbow : An utility to lazy-initialize object properties

by Ocramius PHP Version: 2.5.0 License: MIT

X-Ray Key Features Code Snippets(2)Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | LazyProperty Summary

LazyProperty is a PHP library typically used in Template Engine, Tailwind CSS applications. LazyProperty has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

:rainbow: An utility to lazy-initialize object properties

Support

Quality

Security

License

Reuse

Support

LazyProperty has a low active ecosystem.

It has 69 star(s) with 8 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 4 have been closed. On average issues are closed in 108 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of LazyProperty is 2.5.0

Quality

LazyProperty has no bugs reported.

Security

LazyProperty has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

LazyProperty is licensed under the MIT License. This license is Permissive.

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

Reuse

LazyProperty releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Checks the caller scope .
Creates an exception for the invalid context .
Creates a new instance from a lazy property .
Creates an exception for a non existing lazy property .

Get all kandi verified functions for this library.

LazyProperty Key Features

No Key Features are available at this moment for LazyProperty.

LazyProperty Examples and Code Snippets

Lazy Property,Use case

PHP

Lines of Code : 51

License : Permissive (MIT)

Copy

class SomeService
{
    protected $dependency;

    public function doWork()
    {
        $this->getDependency()->delegateWork();
    }

    protected function getDependency()
    {
        return $this->dependency ?: $this->dependency =

Lazy Property,Installation

PHP

Lines of Code : 1

License : Permissive (MIT)

Copy

composer require ocramius/lazy-property

Community Discussions

Trending Discussions on LazyProperty

Understanding `TypeError: An op outside of the function building code is being passed a "Graph" tensor.` error

Missing XLA configuration when running pytorch/xla

Understand behavior of __delete__ in descriptor with multi-variable assignment on one line

Prevent Lazy caching exceptions when invoking Async delegate

QUESTION

Understanding `TypeError: An op outside of the function building code is being passed a "Graph" tensor.` error

Asked 2021-May-12 at 07:24

I'm using TF2.4 in a custom experimentation framework and use mlworkflow.lazyproperty decorator to construct attributes (like the tf.keras.Model()) the first time they are accessed.

For most of my deep learning experiments, this framework works very well, but I'm facing a TypeError: An op outside of the function building code is being passed a "Graph" tensor. error when trying another head in my experiments.

I managed to reduce the problem to the following minimal working example in which, when using my custom object Head_1(), the error is raised, but when using Head_2(tf.keras.layers.Layer), it works fine.

...

ANSWER

Answered 2021-May-12 at 07:24

The solution is to create the model before the call to run. Specifically

Source https://stackoverflow.com/questions/66282292

QUESTION

Missing XLA configuration when running pytorch/xla

Asked 2020-Oct-28 at 12:56

I am trying to run GCP TPU with Pytorch/XLA, I am using a VM with debian-9-torch-xla-v20200818 image, I initiate the TPU and check it is running using ctpu status which shows that both the CPU and TPU are running, I then activate the torch-xla-nightly environment, but when I try to invoke this simple code:

...

ANSWER

Answered 2020-Aug-21 at 16:59

Take a look at this link as it seems to pertain to the issue. Maybe you didn't setup the XRT_TPU_CONFIG: (vm)$ export XRT_TPU_CONFIG="tpu_worker;0;$TPU_IP_ADDRESS:8470" Follow the instructions here and you should be fine.

Source https://stackoverflow.com/questions/63486381

QUESTION

Understand behavior of __delete__ in descriptor with multi-variable assignment on one line

Asked 2020-Apr-22 at 03:17

This is a descriptor created to (partially) emulate the property class in python, but in a lazy fashion.

...

ANSWER

Answered 2020-Apr-21 at 11:55

The presence of a __set__ or __delete__ method makes a descriptor a data descriptor. Data descriptors take priority over instance __dict__ entries, so your descriptor's __get__ is called even if a previous call has already cached a value in the instance dict.

Your __get__ does not correctly handle the case where the value has already been computed. It unconditionally recomputes the value every time it is called.

Source https://stackoverflow.com/questions/61342839

QUESTION

Prevent Lazy caching exceptions when invoking Async delegate

Asked 2019-Jun-01 at 18:39

I have a need for a simple AsyncLazy which behaves exactly like Lazy but correctly supports handling exceptions and avoids caching them.

Specifically the issue I am running into is as follows:

I can write a piece of code as such:

...

ANSWER

Answered 2019-Jun-01 at 07:16

To help you understand what's going on here is a simple program:

Source https://stackoverflow.com/questions/56404540

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

Vulnerabilities

No vulnerabilities reported

Install LazyProperty

The suggested installation method is via composer:.

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: