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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 fieldname_to_dtype(fieldname):
 """Converts a column header from the MPT file into a tuple of canonical name and appropriate numpy dtype"""


    if fieldname == 'mode':
        return ('mode', np.uint8)
    elif fieldname in ("ox/red", "error", "control changes", "Ns changes",
                       "counter inc."):
        return (fieldname, np.bool_)
    elif fieldname in ("time/s", "P/W", "(Q-Qo)/mA.h", "x", "control/V",
                       "control/V/mA", "(Q-Qo)/C", "dQ/C", "freq/Hz",
                       "|Ewe|/V", "|I|/A", "Phase(Z)/deg", "|Z|/Ohm",
                       "Re(Z)/Ohm", "-Im(Z)/Ohm"):
        return (fieldname, np.float_)
    elif fieldname in ("cycle number", "I Range", "Ns", "half cycle"):
        return (fieldname, np.int_)
    elif fieldname in ("dq/mA.h", "dQ/mA.h"):
        return ("dQ/mA.h", np.float_)
    elif fieldname in ("I/mA", "<I>/mA"):
        return ("I/mA", np.float_)
    elif fieldname in ("Ewe/V", "<Ewe>/V"):
        return ("Ewe/V", np.float_)
    else:
        raise ValueError("Invalid column header: %s" % fieldname)