Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

A problem #11

Open
kingarthur72 opened this issue Sep 5, 2024 · 4 comments
Open

A problem #11

kingarthur72 opened this issue Sep 5, 2024 · 4 comments

Comments

@kingarthur72
Copy link

kingarthur72 commented Sep 5, 2024

I ran the code in this webpage on my local computer:

https://github.com/econ-ark/CGMPortfolio/blob/master/Code/Python/CGMPortfolio.ipynb

I ran into the following error:

image

I am using Anaconda: Anaconda3-2024.06-1-Windows-x86_64.exe

Please check.

Thanks.

@MridulS
Copy link
Member

MridulS commented Sep 6, 2024

Can you post the whole error message?

@kingarthur72
Copy link
Author

The Error Message.pdf

@kingarthur72
Copy link
Author


Exception Traceback (most recent call last)
Cell In[3], line 2
1 # Solve the model with the given parameters
----> 2 agent = cpm.PortfolioConsumerType(**dict_portfolio)
3 agent.solve()

File ~\AppData\Local\anaconda3\Lib\site-packages\HARK\ConsumptionSaving\ConsPortfolioModel.py:172, in PortfolioConsumerType.init(self, verbose, quiet, **kwds)
169 self.PortfolioBool = True
171 # Initialize a basic consumer type
--> 172 RiskyAssetConsumerType.init(self, verbose=verbose, quiet=quiet, **kwds)
174 # Set the solver for the portfolio model, and update various constructed attributes
175 if self.IndepDstnBool:

File ~\AppData\Local\anaconda3\Lib\site-packages\HARK\ConsumptionSaving\ConsRiskyAssetModel.py:70, in IndShockRiskyAssetConsumerType.init(self, verbose, quiet, **kwds)
67 self.sim_common_Rrisky = True
69 # Initialize a basic consumer type
---> 70 IndShockConsumerType.init(self, verbose=verbose, quiet=quiet, **kwds)
72 # These method must be overwritten by classes that inherit from
73 # RiskyAssetConsumerType
74 if self.PortfolioBool:

File ~\AppData\Local\anaconda3\Lib\site-packages\HARK\ConsumptionSaving\ConsIndShockModel.py:2295, in IndShockConsumerType.init(self, verbose, quiet, **kwds)
2293 solver = ConsIndShockSolver
2294 self.solve_one_period = make_one_period_oo_solver(solver)
-> 2295 self.update()

File ~\AppData\Local\anaconda3\Lib\site-packages\HARK\ConsumptionSaving\ConsPortfolioModel.py:191, in PortfolioConsumerType.update(self)
190 def update(self):
--> 191 RiskyAssetConsumerType.update(self)
192 self.update_ShareGrid()
193 self.update_ShareLimit()

File ~\AppData\Local\anaconda3\Lib\site-packages\HARK\ConsumptionSaving\ConsRiskyAssetModel.py:88, in IndShockRiskyAssetConsumerType.update(self)
87 def update(self):
---> 88 IndShockConsumerType.update(self)
89 self.update_AdjustDstn()
90 self.update_RiskyDstn()

File ~\AppData\Local\anaconda3\Lib\site-packages\HARK\ConsumptionSaving\ConsIndShockModel.py:2348, in IndShockConsumerType.update(self)
2336 def update(self):
2337 """
2338 Update the income process, the assets grid, and the terminal solution.
2339
(...)
2346 None
2347 """
-> 2348 self.update_income_process()
2349 self.update_assets_grid()
2350 self.update_solution_terminal()

File ~\AppData\Local\anaconda3\Lib\site-packages\HARK\ConsumptionSaving\ConsIndShockModel.py:2313, in IndShockConsumerType.update_income_process(self)
2297 def update_income_process(self):
2298 """
2299 Updates this agent's income process based on his own attributes.
2300
(...)
2307 none
2308 """
2309 (
2310 IncShkDstn,
2311 PermShkDstn,
2312 TranShkDstn,
-> 2313 ) = self.construct_lognormal_income_process_unemployment()
2314 self.IncShkDstn = IncShkDstn
2315 self.PermShkDstn = PermShkDstn

File ~\AppData\Local\anaconda3\Lib\site-packages\HARK\ConsumptionSaving\ConsIndShockModel.py:3733, in IndShockConsumerType.construct_lognormal_income_process_unemployment(self)
3729 self.neutral_measure = False
3731 neutral_measure_list = [self.neutral_measure] * len(PermShkCount_list)
-> 3733 IncShkDstn = IndexDistribution(
3734 engine=BufferStockIncShkDstn,
3735 conditional={
3736 "sigma_Perm": PermShkStd,
3737 "sigma_Tran": TranShkStd,
3738 "n_approx_Perm": PermShkCount_list,
3739 "n_approx_Tran": TranShkCount_list,
3740 "neutral_measure": neutral_measure_list,
3741 "UnempPrb": UnempPrb_list,
3742 "IncUnemp": IncUnemp_list,
3743 },
3744 RNG=self.RNG,
3745 seed=self.RNG.integers(0, 231 - 1),
3746 )
3748 PermShkDstn = IndexDistribution(
3749 engine=LognormPermIncShk,
3750 conditional={
(...)
3756 seed=self.RNG.integers(0, 2
31 - 1),
3757 )
3759 TranShkDstn = IndexDistribution(
3760 engine=MixtureTranIncShk,
3761 conditional={
(...)
3768 seed=self.RNG.integers(0, 2**31 - 1),
3769 )

File ~\AppData\Local\anaconda3\Lib\site-packages\HARK\distribution.py:1315, in IndexDistribution.init(self, engine, conditional, RNG, seed)
1310 self.dstns = [
1311 self.engine(seed=self._rng.integers(0, 2**31 - 1), **conditional)
1312 ]
1314 else:
-> 1315 raise (
1316 Exception(
1317 f"IndexDistribution: Unhandled case for getitem access. item0: {item0}; conditional: {self.conditional}"
1318 )
1319 )

Exception: IndexDistribution: Unhandled case for getitem access. item0: [0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563
0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563
0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563
0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563
0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563
0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563
0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563
0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563
0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563
0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563
0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563 0.1029563
0.1029563 0.1029563 0.1029563]; conditional: {'sigma_Perm': array([0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563,
0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563,
0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563,
0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563,
0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563,
0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563,
0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563,
0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563,
0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563,
0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563,
0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563,
0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563,
0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563, 0.1029563,
0.1029563, 0.1029563]), 'sigma_Tran': array([0.27166155, 0.27166155, 0.27166155, 0.27166155, 0.27166155,
0.27166155, 0.27166155, 0.27166155, 0.27166155, 0.27166155,
0.27166155, 0.27166155, 0.27166155, 0.27166155, 0.27166155,
0.27166155, 0.27166155, 0.27166155, 0.27166155, 0.27166155,
0.27166155, 0.27166155, 0.27166155, 0.27166155, 0.27166155,
0.27166155, 0.27166155, 0.27166155, 0.27166155, 0.27166155,
0.27166155, 0.27166155, 0.27166155, 0.27166155, 0.27166155,
0.27166155, 0.27166155, 0.27166155, 0.27166155, 0.27166155,
0.27166155, 0.27166155, 0.27166155, 0.27166155, 0.27166155,
0.27166155, 0.27166155, 0.27166155, 0.27166155, 0.27166155,
0.27166155, 0.27166155, 0.27166155, 0.27166155, 0.27166155,
0.27166155, 0.27166155, 0.27166155, 0.27166155, 0.27166155,
0.27166155, 0.27166155, 0.27166155, 0.27166155, 0.27166155,
0.27166155, 0.27166155, 0.27166155, 0.27166155, 0.27166155,
0.27166155, 0.27166155, 0.27166155, 0.27166155, 0.27166155,
0.27166155, 0.27166155, 0.27166155, 0.27166155, 0.27166155]), 'n_approx_Perm': [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 'n_approx_Tran': [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 'neutral_measure': [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False], 'UnempPrb': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'IncUnemp': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}
Click to add a cell.

@kingarthur72
Copy link
Author

Hi, Mridul,

I posted the error in two formats: PDF and Text.

Thanks.

Arthur

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants