exactly - (that is how I used it in my initial code) - but if you have to convert it back to the original data type then something is broken...
How would you use the
user properties
as part of an experiment?
I'm guessing to get the properties. I'm guessing this really depends on your needs / use-case
Thx for investigating - What is the use case for such behavior ?
How would you use the user properties as part of an experiment?
task.get_parameters and task.get_parameters_as_dict have the keyword argument cast which attempts to convert values back to their original type, but interestingly doesn't seem to work for properties:
` task = Task.init()
task.set_user_properties(x=5)
task.connect({"a":5})
task.get_parameters_as_dict(cast=True)
{'General': {'a': 5}, 'properties': {'x': '5'}} Hopefully would be a relatively easy extension of get_user_properties ` !
OutrageousSheep60 , it looks like it's not a bug. Internally x is stored as an int , however get_user_properties() casts it back as a string. You could open a github issue with a feature request for this 🙂
Yeah I see what you're saying. It doesn't keep it's type. This might be a bug.
You are getting a string - '5'
I want to get an int - 5
I played a bit with it and got to the value. OutrageousSheep60 , please tell me if this helps you 🙂
` >>> task.set_user_properties(x=5)
True
y=task.get_user_properties()
y
{'x': {'section': 'properties', 'name': 'x', 'value': '5'}}
y["x"]["value"]
'5' `