<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def _load(self, scale=0.001):
 """Load the Sentinel-2 MSI relative spectral responses """


        with open_workbook(self.path) as wb_:
            for sheet in wb_.sheets():
                if sheet.name not in SHEET_HEADERS.keys():
                    continue

                plt_short_name = PLATFORM_SHORT_NAME.get(self.platform_name)
                if plt_short_name != SHEET_HEADERS.get(sheet.name):
                    continue

                wvl = sheet.col_values(0, 1)
                for idx in range(1, sheet.row_len(0)):
                    ch_name = MSI_BAND_NAMES[plt_short_name].get(str(sheet.col_values(idx, 0, 1)[0]))
                    if ch_name != self.bandname:
                        continue

                    resp = sheet.col_values(idx, 1)
                    resp = np.array(resp)
                    resp = np.where(resp == '', 0, resp).astype('float32')
                    mask = np.less_equal(resp, 0.00001)
                    wvl0 = np.ma.masked_array(wvl, mask=mask)
                    wvl_mask = np.ma.masked_outside(wvl, wvl0.min() - 2, wvl0.max() + 2)

                    wvl = wvl_mask.compressed()
                    resp = np.ma.masked_array(resp, mask=wvl_mask.mask).compressed()
                    self.rsr = {'wavelength': wvl / 1000., 'response': resp}

                    break

                break