( pmat, pmima=None )
| 7 | np.seterr(all='ignore', divide='ignore', invalid='ignore') # , over='ignore') |
| 8 | |
| 9 | def updatePMinMax( pmat, pmima=None ): |
| 10 | pmima_new = [ngs.Vector(pmat[:,i], copy=False).MinMax(ignore_inf=True) for i in range(3)] |
| 11 | |
| 12 | if pmima is not None: |
| 13 | for i in range(3): |
| 14 | minmax = ( min(pmima[i][0], pmima_new[i][0]), max(pmima[i][1], pmima_new[i][1]) ) |
| 15 | pmima_new[i] = minmax |
| 16 | |
| 17 | return pmima_new |
| 18 | |
| 19 | def getMinMax( vals, fmin=None, fmax=None ): |
| 20 | funcmin,funcmax = ngs.Vector(vals, copy=False).MinMax(True) |
no test coverage detected