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Add __init__.py files
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‎CONTRIBUTORS.md‎

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‎__init__.py‎

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__all__ = ['data_models', 'processing_components', 'processing_library', 'workflows']

‎data_models/__init__.py‎

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__all__ =['buffer_data_models', 'data_model_helpers', 'memory_data_models', 'parameters', 'polarisation']

‎processing_components/__init__.py‎

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Framework
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"""
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__all__ = [
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'calibration',
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'griddata',
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'image',
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'imaging',
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'non_imaging',
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'notebooks',
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'simulation',
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'skycomponent',
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'skymodel',
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'visibility']

‎processing_components/calibration/__init__.py‎

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__all__ = ['calibration', 'calibration_control', 'iterators', 'operations', 'pointing', 'rcal']

‎processing_components/griddata/__init__.py‎

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__all__ = ['convolution_functions', 'gridding', 'kernels', 'operations']

‎processing_components/image/__init__.py‎

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__all__ = ['deconvolution', 'gather_scatter', 'iterators', 'operations']

‎processing_components/imaging/__init__.py‎

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# """
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# Functions that perform fourier transform processing, both Image->Visibility (predict) and Visibility->Image (
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# invert). In addition there are functions for predicting visibilities from Skycomponents.
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#
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# For example::
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#
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# model = create_image_from_visibility(vt, cellsize=0.001, npixel=256)
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# dirty, sumwt = invert_2d(vt, model)
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# psf, sumwt = invert_2d(vt, model, dopsf=True)
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#
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# The principal transitions between the data models are:
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#
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# .. image:: ./ARL_transitions.png
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# :scale: 75 %
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#
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# """
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# from imaging.base import predict_2d, predict_skycomponent_visibility, \
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# predict_skycomponent_visibility, invert_2d, normalize_sumwt, shift_vis_to_image, \
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# create_image_from_visibility, residual_image
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__all__ = ['base', 'primary_beams', 'timeslice_single', 'weighting', 'wstack_single']

‎processing_components/simulation/__init__.py‎

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__all__ = ['configurations', 'ionospheric_screen', 'pointing', 'testing_support']

‎processing_components/skycomponent/__init__.py‎

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__all__ = ['base', 'operations']

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