DDParser | Baidu open source dependency syntax analysis system | Parser library

by baidu Python Version: v0.1.0 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | DDParser Summary

DDParser is a Python library typically used in Utilities, Parser applications. DDParser has build file available, it has a Permissive License and it has medium support. However DDParser has 1 bugs and it has 3 vulnerabilities. You can download it from GitHub.

Baidu open source dependency syntax analysis system

Support

Quality

Security

License

Reuse

Support

DDParser has a medium active ecosystem.

It has 886 star(s) with 155 fork(s). There are 24 watchers for this library.

It had no major release in the last 12 months.

There are 13 open issues and 57 have been closed. On average issues are closed in 24 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of DDParser is v0.1.0

Quality

DDParser has 1 bugs (1 blocker, 0 critical, 0 major, 0 minor) and 10 code smells.

Security

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

DDParser code analysis shows 3 unresolved vulnerabilities (0 blocker, 3 critical, 0 major, 0 minor).

There are 1 security hotspots that need review.

License

DDParser is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

DDParser releases are available to install and integrate.

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

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

DDParser saves you 866 person hours of effort in developing the same functionality from scratch.

It has 1982 lines of code, 146 functions and 22 files.

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

Top functions reviewed by kandi - BETA

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

Train the model
Creates a model
Decorator for predict
Evaluate the model
Create a text data loader
Decode S_arc
Creates a model
Parse input
Produce predictions for an epoch
Return an iterator of the values of this record
Evaluate a test run
Evaluate classification
Builds the model
Parse word segment prediction
Get LM output
Wrapper for predict
Tokenize text
Pads a batch of records
Load model from pretrained
Predict a query
Forward computation
Run a test
Performs the prediction
Convert an example to a record
Return a list of nodes
Return a list of structs
Pad batch data
Creates data generator

Get all kandi verified functions for this library.

DDParser Key Features

No Key Features are available at this moment for DDParser.

DDParser Examples and Code Snippets

No Code Snippets are available at this moment for DDParser.

Community Discussions

Trending Discussions on DDParser

How to write command line argument dependencies?

Loop through BeautifulSoup list and parse each to HTML tags and data problem

How to correctly refactor ibm-ejb-jar-bnd.xmi file while doing app migration from WebSphere Application Server traditional to Liberty?

QUESTION

How to write command line argument dependencies?

Asked 2020-Apr-21 at 10:00

I am writing a command line program in NodeJS, where my current thinking is that I would like to have the argument parsing and logic in index.js and then have the actual code in functions in separate files.

The problem I have run into is how to write the argument dependencies and conflicts. For some reason cmd never contains the arguments. It only works with --help.

What am I doing wrong? How can I inside the switch check for existence or non-existence of other arguments?

...

ANSWER

Answered 2020-Apr-21 at 10:00

From minimist:

argv._ contains all the arguments that didn't have an option associated with them.

Numeric-looking arguments will be returned as numbers unless opts.string or opts.boolean is set for that argument name.

Any arguments after '--' will not be parsed and will end up in argv._.

So instead of calling cmd.js --validate, call it as cmd.js validate otherwise you can do:

Source https://stackoverflow.com/questions/61340638

QUESTION

Loop through BeautifulSoup list and parse each to HTML tags and data problem

Asked 2020-Mar-17 at 05:43

Python 3 programmer, new to BeautifulSoup and HTMLParser. I'm using BeautifulSoup to fetch all the definition list data from an HTML file, and try to store dt data and dd data into python dictionary as key value pairs correspondingly. My HTML file (List_page.html) is:

...

ANSWER

Answered 2020-Mar-17 at 05:43

You are getting the first element of dts in the for loop each iteration with dts[0] instead of updating the index with the loop. Change it to:

Source https://stackoverflow.com/questions/60716017

QUESTION

How to correctly refactor ibm-ejb-jar-bnd.xmi file while doing app migration from WebSphere Application Server traditional to Liberty?

Asked 2019-Feb-25 at 21:59

I am facing an error while doing app migration from WebSphere Application Server traditional v9.0.0.7 to Liberty base v18.0.0.1

An exceptions in console says:

...

ANSWER

Answered 2018-Jun-21 at 23:05

The message is a little confusing because the same parser is used for both versions of the binding file; the old one, ibm-ejb-jar-bnd.xmi, and the new one, ibm-ejb-jar-bnd.xml. The name attribute as defined in the newer format (XML) is a calculated value in the older format (XMI), and is determined by processing this line:

Source https://stackoverflow.com/questions/50976847

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

Vulnerabilities

No vulnerabilities reported

Install DDParser

You can download it from GitHub.
You can use DDParser 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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