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Can't run KS binder through econ ark website
Attempted to run KS binder through Econ ark website and it failed indicating could not build NumPy.
installation error
hi there
found this. any ideas? thanks
➜ KrusellSmith git:(master) ✗ ./reproduce.sh
Requirement already satisfied: matplotlib==3.3.3 in /Users/74097/.pyenv/versions/3.6.1/lib/python3.6/site-packages (from -r requirements.txt (line 1)) (3.3.3)
Collecting econ-ark==0.10.7
Downloading econ-ark-0.10.7.tar.gz (224 kB)
|████████████████████████████████| 224 kB 18.9 MB/s
WARNING: Generating metadata for package econ-ark produced metadata for project name unknown. Fix your #egg=econ-ark fragments.
ERROR: Requested unknown from https://files.pythonhosted.org/packages/73/35/3fc0d840b4f7ffdc380005c3849c07ed8c4025f9762c490c69f9e25848ef/econ-ark-0.10.7.tar.gz#sha256=2e528c003e0ae2c70661ed2f0d1288b4b87414e6ecae387b7e5ecbc9048746bb (from -r requirements.txt (line 3)) has different name in metadata: 'UNKNOWN'
WARNING: You are using pip version 20.3; however, version 21.0.1 is available.
You should consider upgrading via the '/Users/74097/.pyenv/versions/3.6.1/bin/python3 -m pip install --upgrade pip' command.
Using matplotlib backend: MacOSX
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
~/git/KrusellSmith/Code/Python/KrusellSmith.py in <module>
178
179 from copy import deepcopy
--> 180 from HARK.utilities import plotFuncs, plotFuncsDer, make_figs
181 from HARK.distribution import DiscreteDistribution
182
ModuleNotFoundError: No module named 'HARK'
➜ KrusellSmith git:(master) ✗ python
➜ KrusellSmith git:(master) ✗ ls
Code KrusellSmith.bib reproduce.sh
Figures README.md requirements.txt
➜ KrusellSmith git:(master) ✗ cat requirements.txt
matplotlib==3.3.3
numpy==1.18
econ-ark==0.10.7
➜ KrusellSmith git:(master) ✗ python --version
Python 3.6.1
Error running reproduce.sh , no attribute `reap_state`
Getting this error running reproduce.sh
:
https://gist.github.com/sbenthall/419ae456a640a8a2de7a88145856ff1e
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