Modified io_controlnetwork to account for covariance matrix

from time import gmtime, strftime

import pandas as pd

import numpy as np

import pvl

from plio.io import ControlNetFileV0002_pb2 as cnf

                    # As per protobuf docs for assigning to a repeated field.

                    if attr == 'aprioriCovar':

                        arr = g.iloc[0]['aprioriCovar']

                        point_spec.aprioriCovar.extend(arr.ravel().tolist())

                        if isinstance(arr, np.ndarray):

                            arr = arr.ravel().tolist()

                        point_spec.aprioriCovar.extend(arr)

                    else:

                        setattr(point_spec, attr, attrtype(g.iloc[0][attr]))

            point_spec.type = 2  # Hardcoded to free

            point_spec.type = 2  # Hardcoded to free this is bad

            # The reference index should always be the image with the lowest index

            point_spec.referenceIndex = 0

            # A single extend call is cheaper than many add calls to pack points

            measure_iterable = []

            for node_id, m in g.iterrows():

                measure_spec = point_spec.Measure()

                # For all of the attributes, set if they are an dict accessible attr of the obj.

                for attr, attrtype in self.measure_attrs:

                    if attr in g.columns:

                        setattr(measure_spec, attr, attrtype(m[attr]))

                measure_spec.serialnumber = serials[m.image_index]

                measure_spec.sample = m.x

                measure_spec.line = m.y

            point_message = point_spec.SerializeToString()

            point_sizes.append(point_spec.ByteSize())

            point_messages.append(point_message)

        return point_messages, point_sizes

    def create_buffer_header(self, networkid, targetname,