<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def convdicts():
 """Access a set of example learned convolutional dictionaries. Returns ------- cdd : dict A dict associating description strings with dictionaries represented as ndarrays Examples -------- Print the dict keys to obtain the identifiers of the available dictionaries Select a specific example dictionary using the corresponding identifier """


    pth = os.path.join(os.path.dirname(__file__), 'data', 'convdict.npz')
    npz = np.load(pth)
    cdd = {}
    for k in list(npz.keys()):
        cdd[k] = npz[k]
    return cdd