Reputation: 5301
I was following the instruction by VS code's website but it seemed that nothing that I tried worked.
I created a new configuration as required but whenever I put the path it refuses to work in VS code although the path VS code complains about in the integrated terminal window works fine when I call it manually.
The error the debugger throws is the following:
(automl-meta-learning) brandomiranda~/automl-meta-learning/automl/experiments ❯ env PTVSD_LAUNCHER_PORT=59729 /Users/brandomiranda/miniconda3/envs/automl-meta-learning/bin/python /Users/brandomiranda/.vscode/extensions/ms-python.python-2020.2.63072/pythonFiles/lib/python/new_ptvsd/wheels/ptvsd/launcher -m /Users/brandomiranda/automl-meta-learning/automl/experiments/experiments_model_optimization.py
E+00000.025: Error determining module path for sys.argv
Traceback (most recent call last):
File "/Users/brandomiranda/.vscode/extensions/ms-python.python-2020.2.63072/pythonFiles/lib/python/new_ptvsd/wheels/ptvsd/../ptvsd/server/cli.py", line 220, in run_module
spec = find_spec(options.target)
File "/Users/brandomiranda/miniconda3/envs/automl-meta-learning/lib/python3.7/importlib/util.py", line 94, in find_spec
parent = __import__(parent_name, fromlist=['__path__'])
ModuleNotFoundError: No module named '/Users/brandomiranda/automl-meta-learning/automl/experiments/experiments_model_optimization'
Stack where logged:
File "/Users/brandomiranda/miniconda3/envs/automl-meta-learning/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/Users/brandomiranda/miniconda3/envs/automl-meta-learning/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/Users/brandomiranda/.vscode/extensions/ms-python.python-2020.2.63072/pythonFiles/lib/python/new_ptvsd/wheels/ptvsd/__main__.py", line 45, in <module>
cli.main()
File "/Users/brandomiranda/.vscode/extensions/ms-python.python-2020.2.63072/pythonFiles/lib/python/new_ptvsd/wheels/ptvsd/../ptvsd/server/cli.py", line 361, in main
run()
File "/Users/brandomiranda/.vscode/extensions/ms-python.python-2020.2.63072/pythonFiles/lib/python/new_ptvsd/wheels/ptvsd/../ptvsd/server/cli.py", line 226, in run_module
log.exception("Error determining module path for sys.argv")
/Users/brandomiranda/miniconda3/envs/automl-meta-learning/bin/python: Error while finding module specification for '/Users/brandomiranda/automl-meta-learning/automl/experiments/experiments_model_optimization.py' (ModuleNotFoundError: No module named '/Users/brandomiranda/automl-meta-learning/automl/experiments/experiments_model_optimization')
then I tried running the file it complains manually and it runs it just fine...
(automl-meta-learning) brandomiranda~/automl-meta-learning/automl/experiments ❯ python /Users/brandomiranda/automl-meta-learning/automl/experiments/experiments_model_optimization.py
--> main in differentiable SGD
-------> Inside Experiment Code <--------
---> hostname:
device = cpu
Files already downloaded and verified
Files already downloaded and verified
Files already downloaded and verified
even when I hover over the path name and click it with command + click
then it takes me to the path from within VS code. Which seems bizzare. So somehow only when I run it in debugger mode does it not work. Why?
Launch.json
{
// Use IntelliSense to learn about possible attributes.
// Hover to view descriptions of existing attributes.
// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
"version": "0.2.0",
"configurations": [
{
"name": "Python: Experiments Protype1",
"type": "python",
"request": "launch",
"module": "${workspaceFolder}/automl/experiments/experiments_model_optimization.py" // ~/automl-meta-learning/automl/experiments/experiments_model_optimization.py
},
{
"name": "Python: Current File (Integrated Terminal)",
"type": "python",
"request": "launch",
"program": "${file}",
"console": "integratedTerminal"
},
{
"name": "Python: Remote Attach",
"type": "python",
"request": "attach",
"port": 5678,
"host": "localhost",
"pathMappings": [
{
"localRoot": "${workspaceFolder}",
"remoteRoot": "."
}
]
},
{
"name": "Python: Module",
"type": "python",
"request": "launch",
"module": "enter-your-module-name-here",
"console": "integratedTerminal"
},
{
"name": "Python: Django",
"type": "python",
"request": "launch",
"program": "${workspaceFolder}/manage.py",
"console": "integratedTerminal",
"args": [
"runserver",
"--noreload",
"--nothreading"
],
"django": true
},
{
"name": "Python: Flask",
"type": "python",
"request": "launch",
"module": "flask",
"env": {
"FLASK_APP": "app.py"
},
"args": [
"run",
"--no-debugger",
"--no-reload"
],
"jinja": true
},
{
"name": "Python: Current File (External Terminal)",
"type": "python",
"request": "launch",
"program": "${file}",
"console": "externalTerminal"
}
]
}
Cross-posted:
Upvotes: 13
Views: 7175
Reputation: 5301
So this is what I did. Once I opened the launch.json
file by going to the debugger tab on the left:
then I clicked on Add configuration
and then the launch.json
file opened. Then at the bottom right there is a blue botton with Add Configuration
:
then I filled in the stex that appeared after selecting Python file
. The text that appeared was:
{
"name": "Python: Current File",
"type": "python",
"request": "launch",
"program": "${file}",
"console": "integratedTerminal"
}
and I changed it to:
{
"name": "Python: My Trainable",
"type": "python",
"request": "launch",
"program": "/Users/brandomiranda/automl-meta-learning/prototyping_tests_playground/trainable_optimizers/my_trainable.py",
"console": "integratedTerminal"
},
then I made sure I selected it on the left debug menu so that each time I ran it with the F5
short cut it ran the right file no matter where I was in VS code.
Current file:
{
// Use IntelliSense to learn about possible attributes.
// Hover to view descriptions of existing attributes.
// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
"version": "0.2.0",
"configurations": [
{
"name": "Python: My Trainable Step Size Higher",
"type": "python",
"request": "launch",
"program": "/Users/brandomiranda/automl-meta-learning/prototyping_tests_playground/trainable_optimizers/trainable_step_size.py",
"console": "integratedTerminal"
},
{
"name": "Python: Experiments Protype1",
"type": "python",
"request": "launch",
"program": "${env:HOME}/automl-meta-learning/automl/experiments/experiments_model_optimization.py",
"console": "integratedTerminal"
},
{
"name": "Python: Current File (Integrated Terminal)",
"type": "python",
"request": "launch",
"program": "${file}",
"console": "integratedTerminal"
},
{
"name": "Python: Remote Attach",
"type": "python",
"request": "attach",
"port": 5678,
"host": "localhost",
"pathMappings": [
{
"localRoot": "${workspaceFolder}",
"remoteRoot": "."
}
]
},
{
"name": "Python: Module",
"type": "python",
"request": "launch",
"module": "enter-your-module-name-here",
"console": "integratedTerminal"
},
{
"name": "Python: Django",
"type": "python",
"request": "launch",
"program": "${workspaceFolder}/manage.py",
"console": "integratedTerminal",
"args": [
"runserver",
"--noreload",
"--nothreading"
],
"django": true
},
{
"name": "Python: Flask",
"type": "python",
"request": "launch",
"module": "flask",
"env": {
"FLASK_APP": "app.py"
},
"args": [
"run",
"--no-debugger",
"--no-reload"
],
"jinja": true
},
{
"name": "Python: Current File (External Terminal)",
"type": "python",
"request": "launch",
"program": "${file}",
"console": "externalTerminal"
}
]
}
seems ${end:HOME}
is important for getting home path.
Upvotes: 2
Reputation: 4170
You are using module
instead of program
in launch.json
. When using module you must pass only the module\sub-module name, not the entire path. Visual Studio will then load the specified module and execute it's __main__.py
file.
This would be the correct input, assuming automl is a module and experiments is a submodule:
"module": "automl.experiments"
If you want to point to your script directly you can use the path you were using previously, just changing module
to program
:
"program": "${workspaceFolder}/automl/experiments/experiments_model_optimization.py"
Upvotes: 6