Top to random simul stop.py

From Werner KRAUTH

Revision as of 13:24, 6 June 2024 Werner (Talk | contribs) ← Previous diff		Current revision Werner (Talk | contribs)
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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

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Current revision

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).

Python program

import random
NCards = 3
data = {}
for iter1 in range(1000000):
    L= [k for k in range(NCards)]
    green_card = NCards - 1
    for iter2 in range(2000000):
        a = L.pop(0)
        L.insert(random.randint(0, len(L)), a)
        if a == green_card:
            L = tuple(L)
            data[L] = data.get(L, 0) + 1
            break
for k in data:
    print(k, data[k])