I have a service that creates a given number of integers based on how many integers the user requests.
Example:
User requests 3 integers, the response would be: [123,234,345]
Is there a way in Jmeter to assert that I received 3 integers in the Response Body?
Please check the below approach:-
RegEx to fetch all integers. Total match count ==9
If total match count is 9 then pass else fail with JSR223 Assertion.
Hope this helps.
Related
I would like to add pagination to the youtube API results.
The results returned are 1,000,000 results always.
I have read about this number of results returned, It seems its an estimated number and not the exact count.
In this scenario how to implement pagination.
pageInfo.totalResults
integer
The total number of results in the result set.Please note that the value is an approximation and may not represent an exact value. In addition, the maximum value is 1,000,000.
Source: Search: list
Implementation: Pagination will help you to understand how pagination works with YouTube Data API v3. The 1,000,000 value isn't a limit, however there may be other limitations. So let us know if you are still stuck.
I am trying to generate random numbers in Tableau between 1 and 15. Currently, I am using the Random() function. However, this returns random numbers in the [0,1] interval. Does anyone know how to get whole integer values instead?
I am using this feature to try to both randomize and anonymize the names of 15 people.
Thanks!
Actually random is the function you should look for, even thought it returns numbe from 0 to 1.
According to the integer number you are trying to get, why don't you multiply the result by 10/100/1000/etc and then use the round function in order to get rid of the rest?
Using golang's multiple returns functionality, is there any limit of returns allowed? Or could a user hypothetically have millions of returns on a function, assuming memory size isn't an issue.
In theory, there is no limit.
https://golang.org/ref/spec#ExpressionList
In practice, of course, it will fail at some point.
1000 output parameters: https://play.golang.org/p/pOf4YCahtER
On my computer, I was able to push it to 8190 output parameters with Go 1.11.5. The output list was a series of is (type i int) and the return statement contained a series of 0s.
Changing to name of the type to ii lowered the maximum I was able to achieve. This suggests that the limit comes from the length of the string that represents the output parameters, not the number of elements in the list.
This seems to be the returned error when the list is too long: https://github.com/golang/go/blob/ed15e82413c7b16e21a493f5a647f68b46e965ee/src/cmd/compile/internal/gc/reflect.go#L544
I'm writing a REST API that returns products in JSON from a Postgres database.
I have written integration tests to test which products are returned and this works fine. A requirement has just been introduced to randomly order the products returned.
I've changed my tests to not rely on the order the results come back in. My problem is testing the new random requirement.
I plan on implementing this in the database with Postgres' RANDOM() keyword. If I was doing this "in code" I could stub the random code generator to always be the same value, but I'm not sure what to do in the database.
How can I test that my new random requirement is working?
I've found a way of doing what I need.
You can set the seed value for Postgres using SETSEED().
If you set the seed before the you execute the query that uses RANDOM(), the results will come back in the same order every time.
SELECT SETSEED(0.5);
SELECT id, title FROM products ORDER BY RANDOM() LIMIT 2;
The seed value is reset after the SELECT query.
To test that the data comes back random we can change the seed value.
I don't want to test if Postgres' RANDOM() works, but that my code that uses it does.
That will depend on your definition of randomness. As a first try you could issue the same request twice and make sure that the same result set is returned but in a different order. This of course assumes that your test data will not page or some such, but if it does your test will of course be more difficult, as you would probably have to retrieve all pages in order to verify anything.
On second thoughts paging would probably complicate the whole request, as it would require having the same randomness across several pages.
IMHO if you want to test randomness, you should find a query that return few results - 2 would be the ideal number.
You then run the query a big number of times and count the occurences of the different ordering possibilities. The number must not reach same value, but the frequencies should converge toward 1/n, where n is the number of orderings. But in fact, you do not want the quality of the random generator, all you need is to be sure that you correctly use it. So you should only test that you get one of each possibility for a correct number of tests.
I would use 100 run if n <= 10 and n2 if n > 10. For n = 10 and 100 runs the probability of having one possibility off is less than 3e-5. So run the test once, and run it again if it fails, and it should be enough. Of course, if you want to reduce the risk of false detection simply augment the number of runs ... but tests will be longer ...
I am looking for help with a Python algorithm that will take a percent or fraction (such as 45% or 4500/10000) and testing it multiple times, and seeing how many times it comes out true, and how many times it comes out false.
Basically, I am looking for an algorithm that will take a probability, test it multiple times, and give us results on how many times you, say, survived, or died.
Is this possible, and can anyone help me?
Loop over the following for the number of trials you want:
Generate a random integer between 0 and the denominator (if it's a fraction) or real number between 0 and 1 (if it's a percent)
If the value is less than the numerator/percent, record a failure, otherwise record a success
You can find information on generating random values in the python documentation, and how you determine whether you're working with a percent or a fraction will depend on how you accept and parse user input.