machine | Type checked state machine library in Rust | BPM library
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kandi X-RAY | machine Summary
Type checked state machine library in Rust
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machine Key Features
machine Examples and Code Snippets
@Override
public void configure(StateMachineStateConfigurer states) throws Exception {
states
.withStates()
.initial("SI")
.fork("SFork")
.join("SJoin")
.end(
@Override
public void configure(StateMachineTransitionConfigurer transitions) throws Exception {
transitions.withExternal()
.source("SI").target("SFork").event("E1")
.and().withExternal()
@Override
public void configure(StateMachineStateConfigurer states) throws Exception {
states
.withStates()
.initial("SI")
.state("SI")
.end("SF")
.and()
Community Discussions
Trending Discussions on machine
QUESTION
I am trying to use dotenv and jest together, and run into an error immediately.
A single test file, tests/authenticationt.test.ts
with only
ANSWER
Answered 2021-Jun-16 at 00:40try require('dotenv').config()
QUESTION
State of the application:
- A single virtual machine which runs an apache server.
- Application exposed via the virtual machine's public IP (not behind a loadbalancer)
I have an healthprobe endpoint running that needs probed every few seconds to see if the app is up, and trigger an alert in case it is not.
What are my options? I want to get the healthprobe up and running first, before I move to a virtual machine scale set and a load balancer.
...ANSWER
Answered 2021-Jun-16 at 00:05Under Support+troubleshooting -> Resource health of your virtual machine portal panel, you can set up a health alert. You can then select under which conditions the alert should be triggered. In your case, Current resource status: Unavailable should work just fine. You can also implement a custom notification (E-Mail) under Actions or implement a logic that triggers an Azure Function or Logic App that performs an action when the VM is unavailable.
To detect if your application in Apache server is working correctly you can use a monitoring solution that checks the Apache error logs.
QUESTION
I am creating a virtual test ATM machine and I just finished the login and registration system that will bring you to a new screen with your balance, username, and a sign-out button. So far I have the button and the username finished. The way I am storing the usernames is by creating a .txt file with all of the usernames, passwords, and their balances in the format of:
...ANSWER
Answered 2021-Jun-15 at 15:32There are multiple ways. The easiest one will be to use split.
QUESTION
I'm implementing Testing Library with Puppeteer and I was trying to use an environment variable, DEBUG_PRINT_LIMIT, to limit the length of the HTML printed to console in case of failure.
But for some reasons, the variable environment is just ignored by the library...
My project:
package.json
...ANSWER
Answered 2021-Jun-15 at 19:16If finally figured it out.
It's actually a bug in the library itself: https://github.com/testing-library/pptr-testing-library/issues/55
QUESTION
I have some local packages hosted on my own machine, I would like to include a copy of them in distribution of other packages that depends on them. When installing a local package, pip freeze
shows something like
ANSWER
Answered 2021-Jun-15 at 16:11I managed to do it with source distributions and overriding sdist
and egg_info
commands to make setuptools bundle local dependencies together with package and to make pip search dependencies in that bundle when installing the built package later. But later I figured out it makes system vulnerable to dependency confusion attacks because local packages installed from that bundle are visible with pip freeze
, if for some reason the dependency location, like local-package @ file:///home/user/packages/local-package.tar.gz
is stripped to just local-package
pip will search it on pypi, which allows dependency confusion to happen.
The best solution for this problem is to vendor all local dependencies where their source code is copied to the package, pip itself vendors its dependencies using vendoring.
QUESTION
I have the following piece of code in a shiny app. My goal is to generate the choices for the "cutFamily2" selectInput widget based on what the user chose for the "machine2" selectInput.
If I use corte2()
instead of eval(paste0("corte",2))
on the observerEvent
the app runs properly. The problem is that I want to use the paste0()
because the integer "2" in eval(paste0("corte",2))
will be an argument of a function (function(data,n)
) so I can easily generate corte1
, corte2
and so on.
When I run it using eval(paste0("corte",2))
I am getting the "error in $: $ operator is invalid for atomic vectors" and the app won't even run. I tried to use enframe()
to convert it to a tibble, then the app runs, but I get a "Unknown or uninitialised column: CutFamily
" error and the SelectInput choices will be empty. I also tried [[
instead, but nothing.
Any ideas on how to solve the problem?
...ANSWER
Answered 2021-Jun-15 at 15:12You can try this code -
QUESTION
I have two grid setup's
Local grid setup (hub and nodes are running in my local machine) and my
local machine
connected tonetwork#1
VM grid setup (hub and nodes are running in my virtual machine) and my
virtual machine
connected tonetwork#2
When I execute the scripts I need to pass the IP address
as a parameter. Here,
I can run my scripts successfully in local machine(code is available in local machine) by passing the network#1
IP address
but if I pass the network#2
IP address
(VM IP address) to local machine
then I am getting below exception,
org.openqa.selenium.remote.UnreachableBrowserException: Could not start a new session. Possible causes are invalid address of the remote server or browser start-up failure.
As per my knowledge, hub and nodes should be connected to same network. Cannot we run the scripts by passing the VM IP address to local machine?
Trace:
...ANSWER
Answered 2021-Jun-15 at 13:57Yes, the exception occurred due to firewall. The ping test
is successful from local machine to VM but not from VM to local. I contacted the organization network administrator to confirmed this.
QUESTION
I would like to know whether there is a recommended way of measuring execution time in Tensorflow Federated. To be more specific, if one would like to extract the execution time for each client in a certain round, e.g., for each client involved in a FedAvg round, saving the time stamp before the local training starts and the time stamp just before sending back the updates, what is the best (or just correct) strategy to do this? Furthermore, since the clients' code run in parallel, are such a time stamps untruthful (especially considering the hypothesis that different clients may be using differently sized models for local training)?
To be very practical, using tf.timestamp()
at the beginning and at the end of @tf.function
client_update(model, dataset, server_message, client_optimizer)
-- this is probably a simplified signature -- and then subtracting such time stamps is appropriate?
I have the feeling that this is not the right way to do this given that clients run in parallel on the same machine.
Thanks to anyone can help me on that.
...ANSWER
Answered 2021-Jun-15 at 12:01There are multiple potential places to measure execution time, first might be defining very specifically what is the intended measurement.
Measuring the training time of each client as proposed is a great way to get a sense of the variability among clients. This could help identify whether rounds frequently have stragglers. Using
tf.timestamp()
at the beginning and end of theclient_update
function seems reasonable. The question correctly notes that this happens in parallel, summing all of these times would be akin to CPU time.Measuring the time it takes to complete all client training in a round would generally be the maximum of the values above. This might not be true when simulating FL in TFF, as TFF maybe decided to run some number of clients sequentially due to system resources constraints. In practice all of these clients would run in parallel.
Measuring the time it takes to complete a full round (the maximum time it takes to run a client, plus the time it takes for the server to update) could be done by moving the
tf.timestamp
calls to the outer training loop. This would be wrapping the call totrainer.next()
in the snippet on https://www.tensorflow.org/federated. This would be most similar to elapsed real time (wall clock time).
QUESTION
Hello my favorite people!
I am trying to send an email after submitting a form, with the AUTO INCREMENT number attached to the email because the AUTO INCREMENT number is the clients Job Card Reference Number. So far i have successfully created the insert script which inserts the data into the database perfectly, and also sends the email too. But does not attach the AUTO INCREMENT number into the email. The INT(11) AUTO INCREMENT primary key is "job_number" in my MySQL database.
Here is my insert page:
...ANSWER
Answered 2021-Jun-15 at 09:58 $insertId = false;
if($insert_stmt->execute())
{
$insertId = $insert_stmt->insert_id;
$insertMsg="Created Successfully........sending email now";
}
if($insertId){
// do stuff with the insert id
}
QUESTION
I am trying to run a simple parallel program on a SLURM cluster (4x raspberry Pi 3) but I have no success. I have been reading about it, but I just cannot get it to work. The problem is as follows:
I have a Python program named remove_duplicates_in_scraped_data.py. This program is executed on a single node (node=1xraspberry pi) and inside the program there is a multiprocessing loop section that looks something like:
...ANSWER
Answered 2021-Jun-15 at 06:17Pythons multiprocessing package is limited to shared memory parallelization. It spawns new processes that all have access to the main memory of a single machine.
You cannot simply scale out such a software onto multiple nodes. As the different machines do not have a shared memory that they can access.
To run your program on multiple nodes at once, you should have a look into MPI (Message Passing Interface). There is also a python package for that.
Depending on your task, it may also be suitable to run the program 4 times (so one job per node) and have it work on a subset of the data. It is often the simpler approach, but not always possible.
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Vulnerabilities
No vulnerabilities reported
Install machine
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.
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