parsers | Specify helps you unify your brand identity | Identity Management library

I'm trying use JKS XML signature in Lucee, but when test my code ocurring the follow error

cannot load class through its string name, because no definition for the class with the specified name [java.security.KeyStore.PasswordProtection] could be found caused by (java.lang.ClassNotFoundException:java.security.KeyStore.PasswordProtection;java.lang.ClassNotFoundException:java.security.KeyStore.PasswordProtection;)

Lucee "createObject" function does not imports java.security.KeyStore.PasswordProtection

My code:

Hope someone can shine a light on this, really annoying.

I'm trying to find all the links in a MarkdownDocument using Markdig in Powershell 7.1.3

It's designed for .NET and it has a set of inherited classes that it uses to represent various types of markdown documents. I'm using a simple helper PS wrapper that helps using a generic method, but I don't think this is a cause.

Let me show you with a simple repro

I'm building a mutex primitive using gcc inline assembly for a CortexM7 target using the LDREX and STREX instructions, following the Barrier Litmus Tests and Cookbook document from ARM.

I'm parsing a XML string to convert it to a JsonNode in Scala using a XmlMapper from the Jackson library. I code on a Databricks notebook, so compilation is done on a cloud cluster. When compiling my code I got this error java.lang.NoSuchMethodError: com.fasterxml.jackson.dataformat.xml.XmlMapper.coercionConfigDefaults()Lcom/fasterxml/jackson/databind/cfg/MutableCoercionConfig; with a hundred lines of "at com.databricks. ..."

I maybe forget to import something but for me this is ok (tell me if I'm wrong) :

In Python there are multiple DateTime parsers which can parse a date string automatically without providing the datetime format. My problem is that I don't need to cast the datetime, I only need the datetime format.

Example: From "2021-01-01", I want something like "%Y-%m-%d" or "yyyy-MM-dd".

My only idea was to try casting with different formats and get the successful one, but I don't want to list every possible format.

I'm working with pandas, so I can use methods that work either with series or the string DateTime parser.

Any ideas?

I'm trying to compile my Rust code on my M1 Mac for a x86_64 target with linux. I use Docker to achieve that.

My Dockerfile:

I am studying parsers in Haskell following definitions from G. Hutton, E. Meijer - Monadic Parsing in Haskell.

Suppose I have the following markdown list items:

I am using Parsec to write a parser for a logfile. Every line of that logfile follows a common structure A:B:C:D with the components A, B, C and D following simple rules. I've already written parsers for each of the components and I would like to combine them into a single parser. My current approach works, but I feel there has to be a nicer solution. One immediate drawback is that it would not scale very well for logfiles with more than 4 components.