I found some interesting code in openmdao\drivers\tests\test_pyoptsparse_driver.py that seems to reference NSGA-II. I noticed that this is not implemented when I tried running the test code.
import sys
import copy
import unittest
sys.path.insert(0,r"[SOMEPATH Here]\GitHub\OpenMDAO")
from distutils.version import LooseVersion
import numpy as np
import openmdao.api as om
from openmdao.test_suite.components.paraboloid import Paraboloid
from openmdao.test_suite.components.expl_comp_array import TestExplCompArrayDense
from openmdao.test_suite.components.sellar import SellarDerivativesGrouped
# from openmdao.utils.assert_utils import assert_near_equal # NOTE: THIS FUNCTION ISN'T AVAILABLE IN THE PIP INSTALL
from openmdao.utils.general_utils import set_pyoptsparse_opt, run_driver
from openmdao.utils.testing_utils import use_tempdirs
from openmdao.utils.mpi import MPI
_, local_opt = set_pyoptsparse_opt('NSGA2')
if local_opt != 'NSGA2':
raise unittest.SkipTest("pyoptsparse is not providing NSGA2") # CODE BASICALLY FAILS HERE
Error that I am seeing:
"pyoptsparse is not providing NSGA2"
Can I add NSGA 2 if it's not available?
when that test was written, NSGA-II was a little difficult to compile with pyoptsparse. I think there are still some challenges with it, but it mostly works now. As of OpenMDAO V3.0 we're not using NSGA-II for anything internally. But if you get it to work, feel free to send a PR with an updated test!
Related
Since JupyterLab 3.x jupyter-server is used instead of the classic notebook server, and the following code does not list servers served with jupyter_server:
from notebook import notebookapp
notebookapp.list_running_servers()
None
What still works for the file/notebook name is:
from time import sleep
from IPython.display import display, Javascript
import subprocess
import os
import uuid
def get_notebook_path_and_save():
magic = str(uuid.uuid1()).replace('-', '')
print(magic)
# saves it (ctrl+S)
# display(Javascript('IPython.notebook.save_checkpoint();')) # Javascript Error: IPython is not defined
nb_name = None
while nb_name is None:
try:
sleep(0.1)
nb_name = subprocess.check_output(f'grep -l {magic} *.ipynb', shell=True).decode().strip()
except:
pass
return os.path.join(os.getcwd(), nb_name)
But it's not pythonic nor fast
How to get the current running server instances - and so e.g. the current notebook file?
Migration to jupyter_server should be as easy as changing notebook to jupyter_server, notebookapp to serverapp and changing the appropriate configuration files - the server-related codebase is largely unchanged. In the case of listing servers simply use:
from jupyter_server import serverapp
serverapp.list_running_servers()
This python code file works perfectly. But when I add either of the commented imports, the vscode test feature gives "No tests discovered, please check the configuration settings for the tests." No other errors.
# import boto3
# import pymysql
import decimal
import datetime
def increment(x):
return x + 1
def decrement(x):
return x - 1
What is it that I don't understand about imports and the test feature that explains why these would break the test explorer?
I have the following directory structure:
http://localhost:8888/notebooks/translation.ipynb
http://localhost:8888/edit/Fill_temp/prepare_test_data.py
In
prepare_test_data.py
I have a function:
def to_cap (EXP_FILE, SAMPLES_FILE: str= EXP_FILE + '.cap', cap_rate=0, by_token=False):
In the notebook
translation.ipynb
I do these imports:
%load_ext autoreload
%autoreload 2
import Fill_temp
import Fill_temp.prepare_test_data
then I run
Fill_temp.prepare_test_data.to_cap("en12.json.pres", "en12.cap.0")
and I get
AttributeError: module 'Fill_temp.prepare_test_data' has no attribute 'to_cap'
How come?
I explicitly imported both the Fill_temp package and the prepare_test_data module.
Do I need to import even the lowest level functions that are defined in the module?
EDIT:
I tried to import the low level function explicitly:
%load_ext autoreload
%autoreload 2
import Fill_temp
import Fill_temp.prepare_test_data
import Fill_temp.prepare_test_data.to_cap
but I get:
ModuleNotFoundError: No module named
'Fill_temp.prepare_test_data.to_cap';
'Fill_temp.prepare_test_data' is not a package
So what shall I do?
This is a bit bizarre. Basically, it turned out that there was a syntax error in that low level function.
But instead of saying it jupyter was saying that it doesn't see that function. Which is a really counter-intuitive error message.
I am running a dask cluster and a worker w. 16 cores using the CLI utilities.
In general it seems to work very well.
However, for some reason it will not import modules in the cwd.
I try to run the following from my notebook instance:
def tstimp():
import os
return os.listdir()
c.run(tstimp)
And i get the following output:
{'tcp://192.168.1.90:35885': ['class_positions.csv',
'.gitignore',
'README.md',
'fullrun.ipynb',
'.git',
'rf.py',
'__pycache__',
'dask-worker-space',
'utils.py',
'.ipynb_checkpoints']}
Note that the module rf.py is listed here.
Thus it should be possible to import it in the worker, but when i run the following code:
def tstimp():
import rf
return 42
c.run(tstimp)
I get this error: ModuleNotFoundError: No module named 'rf'
Why am I getting this error?
It seems like the current directory is not added to the python path of the workers.
You should be able to fix this by adding it to the path.
def tstimp():
import sys
sys.path.append('.')
import rf
return 42
c.run(tstimp)
I'm trying to import Multipoint from shapely.geometry like so:
from shapely.geometry import Multipoint
state = Multipoint(((36.977397, -102.985840),(37.004892, -109.050293)(31.805382, -109.006348),(31.861385, -103.095703))).convex_hull
point.within(polygon)
But I get the following error:
ImportError: cannot import name Multipoint
Anyone know what's causing this error?
Try
from shapely.geometry import MultiPoint
Make sure you are using a capital 'P' in the word MultiPoint. Docs