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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 eeg_name_frequencies(freqs):
 """ Name frequencies according to standart classifications. Parameters freqs : list or numpy.array list of floats containing frequencies to classify. Returns freqs_names : list Named frequencies Example Notes *Details* - Delta: 1-3Hz - Theta: 4-7Hz - Alpha1: 8-9Hz - Alpha2: 10-12Hz - Beta1: 13-17Hz - Beta2: 18-30Hz - Gamma1: 31-40Hz - Gamma2: 41-50Hz - Mu: 8-13Hz *Authors* - Dominique Makowski (https://github.com/DominiqueMakowski) References - None """

    freqs = list(freqs)
    freqs_names = []
    for freq in freqs:
        if freq < 1:
            freqs_names.append("UltraLow")
        elif freq <= 3:
            freqs_names.append("Delta")
        elif freq <= 7:
            freqs_names.append("Theta")
        elif freq <= 9:
            freqs_names.append("Alpha1/Mu")
        elif freq <= 12:
            freqs_names.append("Alpha2/Mu")
        elif freq <= 13:
            freqs_names.append("Beta1/Mu")
        elif freq <= 17:
            freqs_names.append("Beta1")
        elif freq <= 30:
            freqs_names.append("Beta2")
        elif freq <= 40:
            freqs_names.append("Gamma1")
        elif freq <= 50:
            freqs_names.append("Gamma2")
        else:
            freqs_names.append("UltraHigh")
    return(freqs_names)