How to use the tonic.pycompat.OrderedDict function in tonic

Read data from input netCDF. Will read all variables if none provided.
    Will also return all variable attributes.
    Both variables (data and attributes) are returned as dictionaries named by
    variable.
    """

    f = Dataset(nc_file, 'r')

    if variables == []:
        variables = f.variables.keys()

    if verbose:
        print('Reading input data variables: '
              ' {0} from file: {1}'.format(variables, nc_file))

    d = OrderedDict()
    a = OrderedDict()

    if coords:
        if isinstance(variables, str):
            d[variables] = f.variables[variables][coords]
            a[variables] = f.variables[variables].__dict__
        else:
            for var in variables:
                d[var] = f.variables[var][coords]
                a[var] = f.variables[var].__dict__
    else:
        if isinstance(variables, str):
            d[variables] = f.variables[variables][:]
            a[variables] = f.variables[variables].__dict__
        else:
            for var in variables:

def read_config(config_file, default_config=None):
    """
    Return a dictionary with subdictionaries of all configFile options/values
    """
    config = SafeConfigParser()
    config.optionxform = str
    config.read(config_file)
    sections = config.sections()
    dict1 = OrderedDict()
    for section in sections:
        options = config.options(section)
        dict2 = OrderedDict()
        for option in options:
            dict2[option] = config_type(config.get(section, option))
        dict1[section] = dict2

    if default_config is not None:
        for name, section in dict1.items():
            if name in default_config.keys():
                for option, key in default_config[name].items():
                    if option not in section.keys():
                        dict1[name][option] = key

    return dict1
# -------------------------------------------------------------------- #

def read_config(config_file, default_config=None):
    """
    Return a dictionary with subdictionaries of all configFile options/values
    """
    config = SafeConfigParser()
    config.optionxform = str
    config.read(config_file)
    sections = config.sections()
    dict1 = OrderedDict()
    for section in sections:
        options = config.options(section)
        dict2 = OrderedDict()
        for option in options:
            dict2[option] = config_type(config.get(section, option))
        dict1[section] = dict2

    if default_config is not None:
        for name, section in dict1.items():
            if name in default_config.keys():
                for option, key in default_config[name].items():
                    if option not in section.keys():
                        dict1[name][option] = key

    return dict1
# -------------------------------------------------------------------- #

Will also return all variable attributes.
    Both variables (data and attributes) are returned as dictionaries named by
    variable.
    """

    f = Dataset(nc_file, 'r')

    if variables == []:
        variables = f.variables.keys()

    if verbose:
        print('Reading input data variables: '
              ' {0} from file: {1}'.format(variables, nc_file))

    d = OrderedDict()
    a = OrderedDict()

    if coords:
        if isinstance(variables, str):
            d[variables] = f.variables[variables][coords]
            a[variables] = f.variables[variables].__dict__
        else:
            for var in variables:
                d[var] = f.variables[var][coords]
                a[var] = f.variables[var].__dict__
    else:
        if isinstance(variables, str):
            d[variables] = f.variables[variables][:]
            a[variables] = f.variables[variables].__dict__
        else:
            for var in variables:
                d[var] = f.variables[var][:]