probably | To probe what we can't prove, so the unprovable may become probable; testing for Scala | Unit Testing library
kandi X-RAY | probably Summary
kandi X-RAY | probably Summary
Probably is a testing library designed to unintrusively provide test recording and reporting capabilities to any codebase, regardless of the users’ choices of libraries or programming paradigms. Probably can define and run unit tests and property tests. Its syntax is simple and unexciting, and its execution model has zero magic: it’s the same as for any other program.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of probably
probably Key Features
probably Examples and Code Snippets
import probably.*
def runTest(x: Int): Unit =
test("the sum of three identical integers is divisible by 3") {
x + x + x
}.assert(_%3 == 0)
runTest(2)
runTest(50)
runTest(Int.MaxValue)
import probably.*
def runTest(x: Int): Unit =
test("
import probably.*
case class Person(name: String, age: Int)
Generate.stream[Person](1000).foreach { person =>
test("all persons have realistic ages", v = person) {
person.age
}.assert { a => a >= 0 && a < 100 }
}
import probably.*
test("the sum of two identical integers is divisible by two") {
val x: Int = 7
x + x
}.assert(_%2 == 0)
Community Discussions
Trending Discussions on probably
QUESTION
How to publish two messages of the same type to different worker instances based on the message content without using Send and RequestAddress?
My scenario is:
I am using Azure ServiceBus and Azure StorageTables.
I am running two different instances of the same worker service workera and workerb. I need workera and workerb to both consume messages of type Command based on the value of Command.WorkerPrefix.
the Command type looks like:
...ANSWER
Answered 2021-Jun-15 at 23:37Using MassTransit with Azure Service Bus, I would suggest taking the message routing burden away from the publisher, and moving it to the consumer. By configuring the receive endpoint and using a subscription filter each instance would add its own subscription and use a message header to filter published messages.
On the publisher, a message header would be added:
QUESTION
This is probably me being stupid but what am I doing wrong here? I'm not sure if I need the code but I'm doing this in Visual Studio 2019.
...ANSWER
Answered 2021-Jun-16 at 01:05Did you make sure that your project is linked with SDL2.lib and SDL2main.lib?
QUESTION
I'm writing a Firebase function (Gist) which
Queries a realtime database ref (events) in the following fashion:
await admin.database().ref('/events_geo').once('value').then(snapshots => {
Iterates through all the events
snapshots.forEach(snapshot => {
Events are filtered by a criteria for further processing
Several queries are fired off towards realtime DB to get details related to the event
await database().ref("/ratings").orderByChild('fk_event').equalTo(snapshot.key).once('value').then(snapshots => {
Data is prepared for SendGrid and the processing is finished
All of the data processing works perfectly fine but I can't get the outer await (point 1 in my list) to wait for the inner awaits (queries towards realtime DB) and thus when SendGrid should be called the data is empty. The data arrives a little while later. Example output from Firebase function logs can be seen below:
10:54:12.642 AM Function execution started
10:54:13.945 AM There are no emails to be sent in afterEventHostMailGoodRating
10:54:14.048 AM There are no emails to be sent in afterEventHostMailBadRating
10:54:14.052 AM Function execution took 1412 ms, finished with status: 'ok'
10:54:14.148 AM
Super hyggelig aften :)
super oplevelse, ... long string generated
Gist showing the function in question
I'm probably mixing up my async/awaits because of the awaits inside the await. But I don't see how else the code could be written without splitting it out into many atomic pieces but that would still require stitching a bunch of awaits together and make it harder to read.
So, two questions in total. Can this code work and what would be the ideal way to handle this pattern of making further processing on top of data fetched from Realtime DB?
Best regards, Simon
...ANSWER
Answered 2021-Jun-15 at 11:20Your problem is that you use async
in a foreEach
loop here:
QUESTION
I am trying to create scatter plots of all the combinations for the columns: insulin
, sspg
, glucose
(mclust, diabetes dataset, in R) with class as the colo(u)r. By that I mean insulin with sspg, insulin with glucose and sspg with glucose.
And I would like to do that with tidyverse, purrr, mappings and pipe operations. I can't quite get it to work, since I'm relatively new to R and functional programming.
When I load the data I've got the columns: class, glucose, insulin and sspg. I also used pivot_longer
to get the columns: attr and value but I was not able to plot it and don't know how to create the combinations.
I assume that there will be an iwalk()
or map2()
function at the end and that I might have to use group_by()
and nest()
and maybe combn(., m=2)
for the combinations or something like that. But it will probably have some way simpler solution that I can not see myself.
My attempts have amounted to this:
...ANSWER
Answered 2021-Jun-15 at 17:34library(mclust)
#> Package 'mclust' version 5.4.7
#> Type 'citation("mclust")' for citing this R package in publications.
library(tidyverse)
data("diabetes")
QUESTION
I'm trying to understand how the "fetch" phase of the CPU pipeline interacts with memory.
Let's say I have these instructions:
...ANSWER
Answered 2021-Jun-15 at 16:34It varies between implementations, but generally, this is managed by the cache coherency protocol of the multiprocessor. In simplest terms, what happens is that when CPU1 writes to a memory location, that location will be invalidated in every other cache in the system. So that write will invalidate the line in CPU2's instruction cache as well as any (partially) decoded instructions in CPU2's uop cache (if it has such a thing). So when CPU2 goes to fetch/execute the next instruction, all those caches will miss and it will stall while things are refetched. Depending on the cache coherency protocol, that may involve waiting for the write to get to memory, or may fetch the modified data directly from CPU1's dcache, or things might go via some shared cache.
QUESTION
i'm a beginner on MYSQL db and i'm trying to play around with the query and relations.
i have created 2 tables, one is 'users' which contain the field staff_ID and the other is 'reports' which also contain the table field staff_ID of the user submitting the reports.
on the relations (see picture) i have connect the 2 staff id field.
every user can submit more than one reports, so i'm try to query and get only the reports of one users(staff_ID). I understood i have to use the JOIN keyword in order to obtain the data..
i tried the following query but it gave me all the result for all the users.
...ANSWER
Answered 2021-Jun-15 at 13:22You can do this either with an inner
join or a where
clause:
QUESTION
Hi so I'm starting to learn PHP and one of the first steps was to run the Development Server to start practicing, the line I used was:
...ANSWER
Answered 2021-Jun-15 at 14:30The server isn't "frozen", it's doing its job, waiting for requests and serving responses. Go to http://localhost:4000 in your web browser to request something from it.
Specifically, since you didn't specify a PHP script for it to run, it's waiting for you to request a particular file - if you have a file called "index.php", you can go to "http://localhost:4000/index.php" in your browser, if it's called "arnoldo-rocks.php", go to "http://localhost:4000/arnoldo-rocks.php", and so on.
It will carry on doing that until you kill it with Ctrl-C
If you want to run it in the background while you run other commands, and are using a Linux/Unix shell (not CMD or PowerShell), you can run it this way:
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
This probably ins't typical setup, but due to higher decisions we endup having multiple kafka clusters within one app, multiple topics per each, and each might have different serializing strategy. Json/avro. And avro might be with confluent schema registry or using single object encoding.
Well I got it working somehow, by building my own abstractions and registry which analyzes the configuration and creates most of stuff manually, but I feel I needed to repeat stuff like topic names, schema registry url on several places multiple times just to create all needed beans. Ugly as hell.
I'd like to ask, if there is some better way and support for this I just might have overlooked.
I need to create N representations of kafka clusters, configuring it once. Configure topics respective to given kafka cluster, configure confluent schema registry for topics where applicable etc, so that I can create instance of Avro schema file, send it to KafkaTemplate and it will work.
...ANSWER
Answered 2021-Jun-15 at 13:28It depends on the complexity and how much different the configurations are, as to whether this will help, but you can override individual Kafka properties (such as bootstrap servers, deserializers, etc on the @KafkaListener
and in each KafkaTemplate
.
e.g.
QUESTION
What I want the Macro to accomplish:
I want the user to be able to fill in data from E2 to E9 on the spreadsheet. When the user presses the "Add Car" button the macro is supposed to be executed. The makro then should take the handwritten data, copy everything from E2:E9 and put it into a table that starts at with C13 and spans over 7 columns, always putting the new set of data in the next free row. It is also supposed to check for duplicates and give an alert while not overwriting the original set of data
So my problem is, that I want the Macro I'm writing to take the information put into certain cells and then copy them into a table underneath.
I'm starting the Macro like this
...ANSWER
Answered 2021-Jun-15 at 13:16Please, test the next code:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install probably
the predicate returns true, and the test passes
it returns false, and the test fails
an exception is thrown while the body is being evaluated
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in a lazy val
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in a parameterized method, testing a property of that parameter
in the request handler on a web server
in a pattern extractor (unapply method)
inside an actor
in the Scala REPL
as one branch of a case clause
nested inside another test
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