          "dimensions": dimensions,
          "parameters": parameters,
          "gradients": gradients,
          "attributes": attributes,
          "layers": [int(x.strip()) for x in layers.split(",")] if layers else [],
          "print_before_training": P0,
          "print_after_init": P1,
          "print_after_training": P2,
          "print_prediction": P3,
      }
 
</s> remove            err = f"Could not find any relevant files for '{subpath}'. " \
                 f"Did you specify a correct and complete path within repo '{repo}' " \
                 f"and branch {branch}?"
           msg.fail(err, exits=1)
 </s> add             err = (
                f"Could not find any relevant files for '{subpath}'. "
                f"Did you specify a correct and complete path within repo '{repo}' "
                f"and branch {branch}?"
            )
            msg.fail(err, exits=1) </s> remove     if pipeline.startswith("[") and pipeline.endswith("]"):
        pipeline = pipeline[1:-1]
    pipeline = [p.strip() for p in pipeline.split(",")]
 </s> add     pipeline = string_to_list(pipeline) </s> remove @pytest.mark.parametrize(
    "args", [["--foo"], ["--x.foo", "bar", "--baz"]],
)
 </s> add @pytest.mark.parametrize("args", [["--foo"], ["--x.foo", "bar", "--baz"]])
        "layers": layers,
          "dimensions": dimensions,
          "parameters": parameters,
          "gradients": gradients,
          "attributes": attributes,
        "layers": layers,
          "print_before_training": P0,
          "print_after_init": P1,
          "print_after_training": P2,
          "print_prediction": P3,
      }
keep keep keep keep replace keep keep keep keep keep
 string_to_list to parse comma-separated string into a list 
spacy/cli/debug_model.py