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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def coerce_pandas_values(objects):
 """Convert pandas values found in a list of labeled objects. Parameters objects : list of Dataset or mappings The mappings may contain any sort of objects coercible to xarray.Variables as keys, including pandas objects. Returns ------- List of Dataset or OrderedDict objects. Any inputs or values in the inputs that were pandas objects have been converted into native xarray objects. """

    from .dataset import Dataset
    from .dataarray import DataArray

    out = []
    for obj in objects:
        if isinstance(obj, Dataset):
            variables = obj
        else:
            variables = OrderedDict()
            if isinstance(obj, PANDAS_TYPES):
                obj = OrderedDict(obj.iteritems())
            for k, v in obj.items():
                if isinstance(v, PANDAS_TYPES):
                    v = DataArray(v)
                variables[k] = v
        out.append(variables)
    return out