ply-example | A lexer and parser example using python and PLY | Parser library

by dmbaturin Python Version: Current License: CC0-1.0

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

kandi X-RAY | ply-example Summary

ply-example is a Python library typically used in Utilities, Parser applications. ply-example has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However ply-example build file is not available. You can download it from GitHub.

A lexer and parser example using python and PLY.

Support

Quality

Security

License

Reuse

Support

ply-example has a low active ecosystem.

It has 8 star(s) with 3 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

ply-example has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ply-example is current.

Quality

ply-example has no bugs reported.

Security

ply-example has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ply-example is licensed under the CC0-1.0 License. This license is Permissive.

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

Reuse

ply-example releases are not available. You will need to build from source code and install.

ply-example has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of ply-example

Get all kandi verified functions for this library.

ply-example Key Features

No Key Features are available at this moment for ply-example.

ply-example Examples and Code Snippets

No Code Snippets are available at this moment for ply-example.

Community Discussions

Trending Discussions on ply-example

Applying a function to several pandas columns and extra integers arguments

I am having a difficulty of understanding interfaces in Solidity. What am I missing?

QUESTION

Applying a function to several pandas columns and extra integers arguments

Asked 2021-May-20 at 22:45

Assuming a pandas Dataframe as:

...

ANSWER

Answered 2021-May-20 at 22:45

TRY:

Source https://stackoverflow.com/questions/67628807

QUESTION

I am having a difficulty of understanding interfaces in Solidity. What am I missing?

Asked 2020-Nov-08 at 03:30

I came from Java OOP background and understand interfaces.

Currently working on a simple budgeting app (https://github.com/compound-developers/compound-supply-examples) that takes ETH or Stablecoin and put in in Compound and earn interest.

My confusion is how Solidity Interfaces are used. I came from OOP (Java) background and very familiar with interfaces.

So in this code(MyContracts.sol) you can see that there is a mint() function in the interface. However, there is no implementation for it but you can see that it's used here uint mintResult = cToken.mint(_numTokensToSupply); without any implementation.

Can anyone shade some lights on how interface functions are used without implementations ? When you call mint in this case, which code is actually being executed ?

...

ANSWER

Answered 2020-Nov-08 at 03:30

I believe I got the main issue that was confusing to me.

So if you come from OOP background this what we know about interfaces:

Source https://stackoverflow.com/questions/64733976

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

Vulnerabilities

No vulnerabilities reported

Install ply-example

You can download it from GitHub.
You can use ply-example 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: