Objects File
============

We consider a textfile with information about some objects marked with different prices.

The format of these files is as follows:

    - The fist line contains the header.
    - Each of the following lines contains the info about one object and a price found. The same object might appear several times with different colors and prices. Each line has the following infos separated by coma (``','``):

        - The name (:class:`str`)
        - The identification number (:class:`int`)
        - The color (:class:`str`)
        - The price (:class:`float`)

The file :download:`objects14.csv <objects14.csv>` is an example:

    .. literalinclude:: objects14.csv
        :language: pycon

You are required to delivered the following function in the module :mod:`objects_file` (file :file:`objects_file.py`):

    .. py:function:: read_objects(filename)

such that

    **given** ``filename``, :class:`str`, the name of a textfile of objects with the format described above.

    **returns** a :class:`dict` with the information in that file with the following format:

        - Keys: 2-component :class:`tuple` with:

            - The *name* (:class:`str`).
            - The *id number* (:class:`int`) of the object.

        - Values: 3-component :class:`list` with:

            - The *color* (:class:`str`) which can be any color of the instances of this object.
            - The *number of instances* (:class:`int`) of that object found in the file (with its same name and id number).
            - The *average price* (:class:`float`) rounded to 2 decimals.

For example the call ``read_objects('objects14.csv')`` over the previous file should produce the following dict:

    .. literalinclude:: read_objects.test
        :language: pycon
        :start-after: --ini-out
        :end-before: --fi-out

Find the doctest file at :download:`read_objects.test <read_objects.test>`.