@Scout can you do a conditial yielding using this example ? :

def multiple_dynamic_values():
    for i in range(2):
        yield DynamicOutput(i, output_name="values", mapping_key=f"num_{i}")
        yield DynamicOutput(-i, output_name="negatives", mapping_key=f"neg_{i}")

Yes, you can perform conditional yielding in the example you provided. Conditional yielding means that you yield

DynamicOutput

objects based on some condition. Here's a modified version of your example that includes a conditional statement:

python from dagster import DynamicOutput, op  @op(out={"values": DynamicOut(), "negatives": DynamicOut()}) def multiple_dynamic_values():     for i in range(2):         if some_condition(i):             yield DynamicOutput(i, output_name="values", mapping_key=f"num_{i}")         if another_condition(i):             yield DynamicOutput(-i, output_name="negatives", mapping_key=f"neg_{i}")

In this code,

some_condition(i)

and

another_condition(i)

represent placeholder functions that return a boolean value. If

some_condition(i)

returns

True

, then a

DynamicOutput

with the value

i

is yielded for the output named "values". Similarly, if

another_condition(i)

returns

True

, then a

DynamicOutput

with the value

-i

is yielded for the output named "negatives". You would need to define the actual conditions that

some_condition(i)

and

another_condition(i)

check for based on your specific use case.