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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 inflate(deflated_vector):
 """Given a defalated vector, inflate it into a np array and return it"""

    dv = json.loads(deflated_vector)
    #result = np.zeros(dv['reductions']) # some claim vector length 5555, others
    #5530. this could have occurred doing remote computations? or something.
    # anyhow, we will use 5555.  Let's just hard code it.  Gosh darnit.
    result = np.zeros(5555) # some claim vector length 5555, others
    for n in dv['indices']:
        result[int(n)] = dv['indices'][n]
    #print("Inflated vector. Length", len(result))
    return result