system: You are an expert security code reviewer. You will be shown a source code file. Your task is to name the single function or class that contains the specified CWE vulnerability.

OUTPUT FORMAT: Respond with the exact function or class name (no parentheses, no qualifiers, no module prefixes), wrapped in \boxed{...}. Example: `\boxed{salted_hmac}`. Output the boxed name ONLY -- no explanation, no other text.

user: ```python
import os

from dpa.app.entity import Entity, EntityRegistry, EntityError

# -----------------------------------------------------------------------------
class GeomEntity(Entity):

    category = 'geom'

    CHANNEL_CONFIG = 'config/mari/geom/channels.cfg'

    # -------------------------------------------------------------------------
    @classmethod
    def import_product_representation(cls, session, representation, *args, 
        **kwargs):

        if session.mari.projects.current():
            raise EntityError("Cannot have a project open when importing.")

        channel_config = session.ptask_area.config(cls.CHANNEL_CONFIG, 
            composite_ancestors=True)

        if not channel_config or not hasattr(channel_config, 'channels'):
            raise EntityError(
                "Unable to find channel config for {cat} import.".format(
                    cat=cls.category))

        product_name = representation.product_version.product.name
                
        channels = []

        # create the channels
        for (channel_name, channel_options) in channel_config.channels.iteritems():

            # prepend the product name to the channel
            channel_name = product_name + '_' + channel_name
            
            # retrieve the channel options
            color_values = channel_options.get('color', [0.5, 0.5, 0.5, 1.0])
            color = session.mari.Color(*color_values[0:3])
            use_alpha = channel_options.get('alpha', True)
            depth = channel_options.get('depth', 16)

            channel = session.mari.ChannelInfo(channel_name, 
                use_alpha=use_alpha, fill_color=color)
            channel.setDepth(depth)

            channels.append(channel)

        mari_dir = session.ptask_area.dir(dir_name='mari')

        # get a path to the geom product via the import directory
        geom_file = cls.get_import_file(session, product_name, cls.category,
            representation)

        # create the project
        session.mari.projects.create(product_name, geom_file, channels)

        # now account for adjustment layers, etc.    
        for (channel_name, channel_options) in channel_config.channels.iteritems():

            # prepend the product name to the channel
            channel_name = product_name + '_' + channel_name

            # layers
            if 'layers' in channel_options:

                for (layer_type, layer_options) in \
                    channel_options.layers.iteritems():

                    # adjustment layer
                    if layer_type == 'adjustment':
                        for (layer_name, adjustment_key) in \
                            layer_options.iteritems():

                            geo = session.mari.geo.current()
                            geo_channel = geo.channel(channel_name)
                            adjustment_layer = \
                                geo_channel.createAdjustmentLayer(
                                    layer_name, adjustment_key)
                            adjustment_layer.setVisibility(False)

                    # other layer types...

        # close and archive the new project
        project = session.mari.projects.current()
        uuid = project.uuid()
        project.save(force_save=True)
        project.close(confirm_if_modified=False)

        # archive
        mari_file = os.path.join(mari_dir, product_name + '.mra')
        session.mari.projects.archive(uuid, mari_file)
        os.chmod(mari_file, 0770)
        session.mari.projects.open(uuid)

    # -------------------------------------------------------------------------
    def export(self, *args, **kwargs):
        """Export this entity to a product.""" 
        
        raise EntityError("Mari geom export not supported.")

# -----------------------------------------------------------------------------
EntityRegistry().register('mari', GeomEntity)


```

Name the function or class in this code that contains a `CWE-732: Incorrect Permission Assignment for Critical Resource` vulnerability.
Answer: import_product_representation