BER | The code for the BER Service I demoed at Xamarin Summit
kandi X-RAY | BER Summary
kandi X-RAY | BER Summary
The BER Service was demoed during Donovan Brown's talk at the Xamarin Developer Summit 2019 in Houston TX. The purpose of the service to update the back end URL of a mobile application without having to rebuild the mobile application. The BER Service is hosted at a URL that never changes and can be queried at runtime to get the URL of the back end. While the back end moves from environment to environment the BER Service is updated with the new back end URL for the mobile application to start using. The mobile application simply queries the BER Service before making a call to the back end to get the correct URL.
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QUESTION
I have this equation in java,
double BER = (Erf.erfc(Math.sqrt(3 * CodedEb_No) * Math.sin(Math.PI/8)))/3;
Erf.erfc is from org.apache.commons.math3.special.Erf
I don't know what is CodedEb_No, but BER is 1E-7. How can I calculate CodedEb_No? I have a hint that I need to use erfcInv() from org.apache.commons.math3.special.Erf. But, since the rest of the values are also part of erfc function, I am bit confused on how to approach this. Can someone help me with this?
...ANSWER
Answered 2021-May-28 at 09:32I think this is more of a maths than programming question after a very quick look and not testing, I guess you want to rearrange this function to make CodedEb_No
the subject. I think that would be
QUESTION
I have a matrix table where rows indicate a site, and columns indicate the presence/absence of a particular rock.
...ANSWER
Answered 2021-May-19 at 15:20To remove duplicated entries of 2 interchangeable columns, first reorder then remove duplicated rows of your dataframe.
QUESTION
I am learning R and have just started simulating from different probability distributions. I was trying to generate a random variate from the Geometric Distribution. I am not willing to use the inbuilt function rgeom
in R for doing the same. Among other methods, I decided to use the result that:
The Geometric distribution is the probability distribution of the number of Bernoulli trials needed to get one success.
I wrote the function for generating one Bernoulli variable as in my previous post named as ber
, with p
being the success probability.
Now to generate a Geometric variable, I can run a loop (I used a repeat
loop here) and continuously generate a Bernoulli variable, check if it is a success or not and so on...
I did it like the following:
...ANSWER
Answered 2021-May-11 at 14:54Without using a loop, you could use the fact that geometric random variables have an invertible cumulative distribution function and use inverse transform sampling. The CDF of your version of the geometric variable (number of first success rather than the version where you count the number of failures before the first success) is:
QUESTION
function multiply() {
const num1 = document.getElementById("number_1").value;
const num2 = document.getElementById("number_2").value;
if (result > 1000) {
document.getElementById("result").innerText= "Nu blev det för högt";
} else if (result) {
document.getElementById("result").innerHTML = num1 * num2;
} else if (result < -0) {
document.getElementById("result").innerText= "Nu blev det för högt";
}
}
...ANSWER
Answered 2021-May-09 at 17:38I think you're missing the line
QUESTION
I am learning R
and have just started simulating from different probability distributions. I was trying to generate a random variate from the Binomial Distribution. I am not willing to use the inbuilt function rbinom
in R for doing the same. Among other methods, I decided to use the result that
the sum of
m
Bernoulli(p)
random variables follow theBinomial(m,p)
distribution.
So, I wrote down a function for generating a Bernoulli random variate like this:
...ANSWER
Answered 2021-May-07 at 11:45I think you need replicate
like below
QUESTION
I'm working on a school project in which I have to create a small Webpage introducing you to a topic of choice.
Unfortunately my website has a horizontal scrollbar and I don't have a clue which element causes it. I tried disabling the elements one after another but haven't found a solution
Thanks in advance for any tips!
...ANSWER
Answered 2021-May-04 at 13:34The margins in your .row
class is causing the issue:
QUESTION
My task is to simulate a signal with a binary message going through a noisy channel with a bit error rate of 1 in 1000. Here is what i have done.
...ANSWER
Answered 2021-Apr-22 at 11:49I would say that the main problem with this intepretation isn't necessarily using randi
vs rand
, or how reliable this is, but the fact that you are always guaranteeing that there will never be more than one errors in the signal, which is not a good assumption.
This is not what an error rate of 1:1000 typically means. It means that each bit has a 1:1000 chance of being flipped. I.e. each bit undergoes a bernoulli trial with a bernoulli parameter of 0.001. Flipping 2 or more bits in the whole signal should be entirely possible; it just shouldn't be very probable.
So I would rephrase this to something like this instead:
QUESTION
I have two functions which shift a row of a pandas dataframe to the top or bottom, respectively. After applying them more then once to a dataframe, they seem to work incorrectly.
These are the 2 functions to move the row to top / bottom:
...ANSWER
Answered 2021-Apr-15 at 18:48Your problem is these two lines:
QUESTION
I should preface this by saying I've been using AWS Glue Studio to learn how to use Glue with PySpark, and so far it's been going really well. That was until I encountered an error which I cannot understand (let alone solve). An example of the data can be found at the bottom.
ContextAll I was doing was a simple data transformation. Input S3 Bucket --> CustomTransform --> Output S3
. But the program keeps crashing after exporting some of the data. I mention it later too, but I even tried removing the CustomTransformation, but the S3 data export still failed, even when just going from one Bucket to the other.
Here is the Python part of the error I'm getting (copied from CloudWatch):
...ANSWER
Answered 2021-Apr-12 at 07:52So if anyone is having this issue, it can be frustrating because this error seems to lend no information about what's actually going wrong. One of the only clues I had was this article. Which suggested there was something wrong with my schema.
I had to look at my data very closely and eventually noticed that I would only get this error when I ran it with certain files in combination with other files.
It turns out that some of my parquet files had the date in an int
format and at other times it was a float
. This data was being created from a Pandas DataFrame using .to_parquet()
in a different function, so I'm not sure why there was an inconsistency in the data types.
What puzzled me most is why when I tried casting the date type to all be int
(as seen here) I still got the error.
Anyway, my solution was to fix the way Pandas was outputting the data and make sure it always output the date as an Integer before Glue processed the data.
QUESTION
A very important equations in statistical mechanics is Stirling approximation for large num-bers, lnN! =NlnN−N (N >>1). Write a Python program to verify this approximation. More specifically, evaluate the ratio lnN!/NlnN−N for N= 1000000.
Here is my program, but I can't get it to work. It doesn't give me an error, just Python breaks. I haven't been taught a lot of numpy, so I haven't been using that.
...ANSWER
Answered 2021-Apr-12 at 01:12You can just use the math.factorial()
function:
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