ModularPipelineError: Failed to map datasets and/or parameters:

from kedro.pipeline import Pipeline, node
from kedro.pipeline.modular_pipeline import pipeline
from .nodes import select_columns


def create_pipeline(**kwargs) -> Pipeline:
    nominal_template = pipeline(
        [
            node(
                func=select_columns,
                inputs=["nominal_raw_data_normalized", "params:columns"],
                outputs="nominal_raw_data_features",
                name="extracting_columns_nominal_data",
                namespace="data_preprocessing"
            )
        ]
    )

    faulty_template = pipeline(
        [
            node(
                func=select_columns,
                inputs=[f"fault_{i}_raw_data_normalized", "params:columns"],
                outputs=f"fault_{i}_raw_data_features",
                name=f"extracting_columns_fault_{i}",
                namespace="data_preprocessing"
            ) for i in range(1, 29)
        ]
    )


    reactor_nominal = pipeline(
        pipe=nominal_template,
        inputs={f"fault_{i}_raw_data_normalized" for i in range(1, 29)},
        parameters={"params:columns": "params:reactor_columns"},
        namespace="reactor"
    )

    reactor_faulty = pipeline(
        pipe=faulty_template,
        inputs={f"fault_{i}_raw_data_normalized" for i in range(1, 29)},
        parameters={"params:columns": "params:reactor_columns"},
        namespace="reactors"
    )

    reactor = reactor_nominal + reactor_faulty



    return reactor