Code:PyTesting
From Predictive Chemistry
Revision as of 13:21, 6 February 2017 by David M. Rogers (talk | contribs) (Created page with "Use the following to get started with implementing your own dynamics programs. Focus on writing clean code, testing, and documentation with pseudocode. <source lang="python">...")
Use the following to get started with implementing your own dynamics programs. Focus on writing clean code, testing, and documentation with pseudocode.
<source lang="python"> def logistic(r, x):
Execute a single step of the logistic map. input: output:
>>> logistic(0.25, 0.5) 0.0625 >>> logistic(3.2, 0.7) 0.672 >>> round(logistic(3.6, 0.1), 6) 0.324 return r*x*(1.0-x)
- TODO: Create explanation and tests here!
def order(a, b):
if a < b: return a, b else: # a >= b return b, a
def gcd(a, b):
Implement Euclid's algorithm to find the greatest common divisor of a and b input: integer a, b output: integer gcd(a,b)
>>> gcd(10, 2) 2 >>> gcd(30, 18) 6 b, a = order(b, a)
while b != 0: #print "%d, %d"%(a,b) a = a % b # a < b a, b = b, a return a
def reduce(n, m):
Reduce the quotient n/m into lowest terms.
>>> reduce(10, 2) (5, 1) return (5, 1)
- More functions to implement here:
- Arnold's cat map
- Tinkerbell attractor
- Lorentz attractor
if __name__ == "__main__":
import doctest doctest.testmod()
</source>