YAML checker fails to detect incorrect angles path in loader config

[yousefmoazzam]

The following minimal example of a DIAD loader incorrectly configured (the path for the angles should be /entry/imaging_sum/gts_theta_value):

- method: standard_tomo
  module_path: httomo.data.hdf.loaders
  parameters:
    name: tomo
    data_path: /entry/imaging/data
    image_key_path: /entry/instrument/imaging/image_key
    rotation_angles:
        data_path: /entry/imaging_sum/gts_theta_val

reproduces the bug, where the pipeline doesn't raise any errors but it should:

(/dls/science/users/twi18192/conda-envs/httomo) [twi18192@pc0074 httomo (feature/padded-dataset-store)]$ python -m httomo check incorrect-angles-not-detected.yaml tests/test_data/k11_diad/k11-18014.nxs 
Checking that the YAML_CONFIG is properly indented and has valid mappings and tags...
Sanity check of the YAML_CONFIG was successfully done...

Checking that the first method in the pipeline is a loader...
Loader check successful!!

Checking that the paths to the data and keys in the YAML_CONFIG file match the paths and keys in the input file (IN_DATA)...
Loader paths check successful!!


Validation of pipeline YAML file is successful.