Add random laplace number and div_or_else function #155
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On branch feature/random-fenerators
Changes to be committed:
new file: quinn/math.py
Related to #88
I have no idea how to test generation of random numbers without installing
numpy
. But I made few local tests and looks like it works.There is the result of
![laplace_m5_4](https://private-user-images.githubusercontent.com/29755009/284735265-06f56fde-31a1-4832-ae4d-6df6f0e822f0.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.0G9MQQg_VIOMe25OID20jwcobMrzy5hqowBnRYY5ZHg)
rand_laplace(mu=-5, beta=4)
:There is the result of
![laplace_1_2](https://private-user-images.githubusercontent.com/29755009/284735708-e23ffbb4-1e5f-4804-a9d4-ce043f445959.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.1H3Uy6mg9Zdr-iZZtKqEPEsnU7qRT4LjLLWb4rVPtoU)
rand_laplace(mu=1, beta=2)
:And there is how it should look like based on Wiki:
![image](https://private-user-images.githubusercontent.com/29755009/284735383-5bb6e303-6aee-46d3-8748-72b2c353c627.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.Uz0BpxMRnNcIK4XBvw7Dok7k3-7pd0JvXxehL-CcIp8)
One can see that distribution is correct. Also negative mu is processed correctly too.