Top to random simul.py
From Werner KRAUTH
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| + | ==Context== | ||
| + | This page is part of my [[BegRohu_Lectures_2024|2024 Beg Rohu Lectures]] on "The second Markov chain revolution" at the [https://www.ipht.fr/Meetings/BegRohu2024/index.html Summer School] "Concepts and Methods of Statistical Physics" (3 - 15 June 2024). | ||
| + | |||
| + | ==Python program== | ||
| + | |||
| import random | import random | ||
| NCards = 3 | NCards = 3 | ||
Current revision
[edit]
Context
This page is part of my 2024 Beg Rohu Lectures on "The second Markov chain revolution" at the Summer School "Concepts and Methods of Statistical Physics" (3 - 15 June 2024).
[edit]
Python program
import random
NCards = 3
data = {}
for iter1 in range(1000000):
L= [k for k in range(NCards)]
for iter2 in range(10):
a = L.pop(0)
L.insert(random.randint(0, len(L)), a)
L = tuple(L)
data[L] = data.get(L, 0) + 1
for k in data:
print(k, data[k])
