Method prepare

tensorflow/python/autograph/core/converter_testing.py:124–142

(self, test_fn, namespace, recursive=True)

      setattr(module, k, v)

  def prepare(self, test_fn, namespace, recursive=True):
    namespace['ConversionOptions'] = converter.ConversionOptions

    future_features = ('print_function', 'division')
    node, source = parser.parse_entity(test_fn, future_features=future_features)
    namer = naming.Namer(namespace)
    program_ctx = converter.ProgramContext(
        options=converter.ConversionOptions(recursive=recursive),
        autograph_module=None)
    entity_info = transformer.EntityInfo(
        source_code=source,
        source_file='<fragment>',
        future_features=future_features,
        namespace=namespace)
    ctx = converter.EntityContext(
        namer, entity_info, program_ctx, 'test_fn')
    origin_info.resolve_entity(node, source, test_fn)
    node = converter.standard_analysis(node, ctx, is_initial=True)
    return node, ctx