behave | Rothermel fire behavior calculations in JavaScript

I have a peculiar situation where I need to allow for external definitions of functions, and use them in a test suite. PHP is odd in allowing you to define global functions anywhere, but it seems to behave inconsistently.

If I run this as a standalone script, $a is true:

We are using stream ingestion from Event Hubs to Azure Data Explorer. The Documentation states the following:

The streaming ingestion operation completes in under 10 seconds, and your data is immediately available for query after completion.

I am also aware of the limitations such as

Streaming ingestion performance and capacity scales with increased VM and cluster sizes. The number of concurrent ingestion requests is limited to six per core. For example, for 16 core SKUs, such as D14 and L16, the maximal supported load is 96 concurrent ingestion requests. For two core SKUs, such as D11, the maximal supported load is 12 concurrent ingestion requests.

But we are currently experiencing ingestion latency of 5 minutes (as shown on the Azure Metrics) and see that data is actually available for quering 10 minutes after ingestion.

Our Dev Environment is the cheapest SKU Dev(No SLA)_Standard_D11_v2 but given that we only ingest ~5000 Events per day (per metric "Events Received") in this environment this latency is very high and not usable in the streaming scenario where we need to have the data available < 1 minute for queries.

Is this the latency we have to expect from the Dev Environment or are the any tweaks we can apply in order to achieve lower latency also in those environments? How will latency behave with a production environment loke Standard_D12_v2? Do we have to expect those high numbers there as well or is there a fundamental difference in behavior between Dev/test and Production Environments in this concern?

So if Event Dispatch Thread is a separate thread from the main thread, that makes me think the next code would output

I've been playing around with Eloquent for a while, but I met a case where Eloquent::where() is not working as I expected. I managed to get Collection::where() worked instead though. However, I'm still wondering why Eloquent::where() didn't work in my case. I will keep the problem as simple as I can, here it goes:

• I have Product and ProductCategory as many-to-many relationships and the pivot table name is "product_relate_category".
• Here is the relationship between them. It's still working so you can skip

I'm developing internal messaging protocol that is based on TCP. Everything works, but I want to add tests to it.

It is possible to test serialization/deserialization with MemoryStream, but I can't find a way to test this thing as whole - with contiguous message interchange, because MemoryStream "ends" after reading first message.

The question: Is there a stream that behaves like NetworkStream (duplex, ends only when other end closed, can't seek) in base library or any nuget package?

Currently I can start 2 TcpClients and use them, but I think it have too much overhead for tests especially when there's hundreds of tests running simultaneously

I don't really know where the error is, for me, it's still a mystery. But I'm using Laravel 8 to produce a project, it was working perfectly and randomly started to return this error and all projects started to return this error too. I believe it's something with Redis, as I'm using it to store the system cache. When I go to access my endpoint in postman it returns the following error:

I know this question has been asked many times, but I still can't figure out what to do (more below).

I'm trying to spawn a new thread using std::thread::spawn and then run an async loop inside of it.

The async function I want to run:

In the following JCL, the HFS path /u/woodsmn/jjk does not exist. It raises a JCL error and does not run the COPYHFS step, nor any other steps. I want it to detect the missing file, and run the FAILIND step.

I suspect MVS raises a JCL error and completely ignores any COND conditions that might apply. I was hoping it raise some failure step condition code and behave that way.

How can I re-write this to execute steps when a PATH does not exist?

There is a Java 11 (SpringBoot 2.5.1) application with simple workflow:

1. Upload archives (as multipart files with size 50-100 Mb each)
2. Unpack them in memory
3. Send each unpacked file as a message to a queue via JMS

When I run the app locally java -jar app.jar its memory usage (in VisualVM) looks like a saw: high peaks (~ 400 Mb) over a stable baseline (~ 100 Mb).

When I run the same app in a Docker container memory consumption grows up to 700 Mb and higher until an OutOfMemoryError. It appears that GC does not work at all. Even when memory options are present (java -Xms400m -Xmx400m -jar app.jar) the container seems to completely ignore them still consuming much more memory.

So the behavior in the container and in OS are dramatically different. I tried this Docker image in DockerDesktop Windows 10 and in OpenShift 4.6 and got two similar pictures for the memory usage.

Dockerfile