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I'm running the code as shown in session 5 but getting the follow error - any ideas?
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
in ()
----> 1 model = SugarscapeG1mt()in __init__(self, width, height)
19
20 agent_id = 0
---> 21 for (x,y) in self.grid.coord_iter():
22 max_sugar = sugar_distribution[x,y]
23 if max_sugar > 0:ValueError: too many values to unpack (expected 2)
I've not figured out the error:
for _,(x,y) in self.grid.coord_iter():needs the brackets around (x,y) removed to become:
for _,x,y in self.grid.coord_iter():I have forked the session 5 on GitHub and suggested the change
- Eka Putri Difayanti
- 10 Nov 2024 10:37pm UTC
- in Agent-Based Models with Python: An Introduction to Mesa
I have the same problem. Did you find a solution?
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Public health organizations, including the World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC), continue to monitor the virus, adapt guidelines, and promote vaccination. While many countries have lifted strict restrictions, COVID-19 remains a health concern globally, highlighting the importance of continued vigilance, vaccination, and investment in healthcare infrastructure.
Hi there,
I am getting this error when I run the code from step 7.
"""
self.grid.place_agent(trader, (x,y))
:83: UserWarning: Agent 4139 is being placed with
place_agent() despite already having the position (30, 30). In most
cases, you'd want to clear the current position with remove_agent()
before placing the agent again.
"""It seems to happen with the code from the github as well. Any ideas?
Hi! I really enjoyed the tutorial and wanted to try tackle the homework. I got stuck at part 3, especially the part regarding establishing new connections, and I wanted to check the solutions but I coulndt find any solution after part 1? The titles are clickable but no file is downloaded or accessed. Any help woulde be appreciated!
Kind regards!
1) For the case of shrinking steps, we have, step length ~ (lambda)^n with (lambda less than 1). Sor, for negative value of n, step length should approach infinity always, but in the plots shown in the video, P as a function of lambda goes to 0 as n tends to negative infinity. What is the reason behind that?
2) How, for the case d=0, the expression of rho becomes ln(t)?
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