EmailParser | remove signature blocks from emails | Email library

by mynameisvinn Python Version: Current License: MIT

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

kandi X-RAY | EmailParser Summary

EmailParser is a Python library typically used in Messaging, Email applications. EmailParser has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

emailparser identifies and removes signature blocks from emails.

Support

Quality

Security

License

Reuse

Support

EmailParser has a low active ecosystem.

It has 66 star(s) with 15 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 2 have been closed. On average issues are closed in 292 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of EmailParser is current.

Quality

EmailParser has 0 bugs and 0 code smells.

Security

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

EmailParser code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

EmailParser 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

EmailParser releases are not available. You will need to build from source code and install.

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

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

Top functions reviewed by kandi - BETA

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

Convert text to sentences
Generate text from given sentences
Compute probability for a block
Split a corpus into sentences
Read an email

Get all kandi verified functions for this library.

EmailParser Key Features

No Key Features are available at this moment for EmailParser.

EmailParser Examples and Code Snippets

No Code Snippets are available at this moment for EmailParser.

Community Discussions

Trending Discussions on EmailParser

Email Validation Function Loop Not Pushing All Values

Error Kotlin Type inference failed Expected type mismatch Map> was expected

QUESTION

Email Validation Function Loop Not Pushing All Values

Asked 2019-Feb-10 at 19:16

I have a comma separated string value that I am attempting to split and clean for valid emails. While I have been able to split the string into an array and have a function to validate the array items for email addresses, it appears that it isn't looping through each item and pushing those that are valid to a new array. At the moment I have just have a single value pushed.

Provided is the string:

...

ANSWER

Answered 2019-Feb-10 at 19:16

Try the built-in Array.filter() (along with Array.map() and String.trim() to remove the extra whitespace):

Source https://stackoverflow.com/questions/54619996

QUESTION

Error Kotlin Type inference failed Expected type mismatch Map> was expected

Asked 2018-Oct-04 at 07:37

I'm trying to manipulate the structure of data so that I can pass it to this function fun handleRequests(messages: Map>): Either. But I keep getting this error: syntaxerror

Error:(27, 63) Kotlin: Type inference failed. Expected type mismatch: inferred type is Map>> but Map> was expected.

I need to transform my data into Map> but I don't know how to do it. Here's the code:

...

ANSWER

Answered 2018-Oct-04 at 00:39

TL;DR: You want to transform values that are grouped in list, so:

Source https://stackoverflow.com/questions/52636018

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

Vulnerabilities

No vulnerabilities reported

Install EmailParser

You can download it from GitHub.
You can use EmailParser 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: