DrDaDe

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Modular Pipeline breaks when external outputs are used as inputs to the same modular pipeline and another modular pipeline

I push this issue and provide another simple minimal working example: pipeline code: ```python from kedro.pipeline import Pipeline, node, pipeline def create_pipeline(**kwargs) -> Pipeline: sub_pipeline = pipeline( [ node(lambda x:...

Modular Pipeline breaks when external outputs are used as inputs to the same modular pipeline and another modular pipeline

Hi @tynandebold , I wanted to re-raise this issue. I was very happy when I saw that you fixed "incorrect rendering of datasets in modular pipelines." in the context of...

Modular Pipeline breaks when external outputs are used as inputs to the same modular pipeline and another modular pipeline

Hi @rashidakanchwala, Thank you for giving an update on this matter. However, I have to disagree with the cyclic dependency problem as a general explanation. Again, here is my example...

Modular Pipeline breaks when external outputs are used as inputs to the same modular pipeline and another modular pipeline

Hi @rashidakanchwala, first of all: Many thanks for the explanation and link to the source. I understand the issue a little better now and maybe we can sort this out...

Modular Pipeline breaks when external outputs are used as inputs to the same modular pipeline and another modular pipeline

If anyone stumbles across here: A colleague of mine found a nice workaround: If I have a dataset like dataset3 (I'll call it internal_dataset) which is both an external output...

Modular Pipeline breaks when external outputs are used as inputs to the same modular pipeline and another modular pipeline

Hi @rashidakanchwala First of all: My minimal working example has now boiled further down to this: ```python from kedro.pipeline import Pipeline, node, pipeline def create_pipeline(**kwargs) -> Pipeline: new_pipeline = pipeline(...