chararray.translate(table, deletechars=None)
numpy.result_type(*arrays_and_dtypes) Returns the type that results from applying the NumPy type promotion rules to the arguments
numpy.ma.min(obj, axis=None, out=None, fill_value=None)
class numpy.busdaycalendar
numpy.ma.argmin(a, axis=None, fill_value=None)
numpy.linalg.slogdet(a)
numpy.ma.prod(self, axis=None, dtype=None, out=None) = Return the product of the array elements over the given axis. Masked elements
numpy.polynomial.legendre.legroots(c)
numpy.polynomial.laguerre.lagmul(c1, c2)
numpy.flipud(m)
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