#!/bin/env python """ Module simtk.unit.unit_operators Physical quantities with units, intended to produce similar functionality to Boost.Units package in C++ (but with a runtime cost). Uses similar API as Scientific.Physics.PhysicalQuantities but different internals to satisfy our local requirements. In particular, there is no underlying set of 'canonical' base units, whereas in Scientific.Physics.PhysicalQuantities all units are secretly in terms of SI units. Also, it is easier to add new fundamental dimensions to simtk.dimensions. You might want to make new dimensions for, say, "currency" or "information". Two possible enhancements that have not been implemented are 1) Include uncertainties with propagation of errors 2) Incorporate offsets for celsius <-> kelvin conversion """ __author__ = "Christopher M. Bruns" __version__ = "0.5" from unit import Unit, is_unit from quantity import Quantity, is_quantity # Attach methods of Unit class that return a Quantity to Unit class. # I put them here to avoid circular dependence in imports. # i.e. Quantity depends on Unit, but not vice versa def _unit_class_rdiv(self, other): """ Divide another object type by a Unit. Returns a new Quantity with a value of other and units of the inverse of self. """ if is_unit(other): raise NotImplementedError('programmer is surprised __rdiv__ was called instead of __div__') else: # print "R scalar / unit" unit = pow(self, -1.0) value = other return Quantity(value, unit).reduce_unit(self) Unit.__rdiv__ = _unit_class_rdiv def _unit_class_mul(self, other): """Multiply a Unit by an object. If other is another Unit, returns a new composite Unit. Exponents of similar dimensions are added. If self and other share similar BaseDimension, but with different BaseUnits, the resulting BaseUnit for that BaseDimension will be that used in self. If other is a not another Unit, this method returns a new Quantity... UNLESS other is a Quantity and the resulting unit is dimensionless, in which case the underlying value type of the Quantity is returned. """ if is_unit(other): if self in Unit._multiplication_cache: if other in Unit._multiplication_cache[self]: return Unit._multiplication_cache[self][other] else: Unit._multiplication_cache[self] = {} # print "unit * unit" result1 = {} # dictionary of dimensionTuple: (BaseOrScaledUnit, exponent) for unit, exponent in self.iter_base_or_scaled_units(): d = unit.get_dimension_tuple() if d not in result1: result1[d] = {} assert unit not in result1[d] result1[d][unit] = exponent for unit, exponent in other.iter_base_or_scaled_units(): d = unit.get_dimension_tuple() if d not in result1: result1[d] = {} if unit not in result1[d]: result1[d][unit] = 0 result1[d][unit] += exponent result2 = {} # stripped of zero exponents for d in result1: for unit in result1[d]: exponent = result1[d][unit] if exponent != 0: assert unit not in result2 result2[unit] = exponent new_unit = Unit(result2) Unit._multiplication_cache[self][other] = new_unit return new_unit elif is_quantity(other): # print "unit * quantity" value = other._value unit = self * other.unit return Quantity(value, unit).reduce_unit(self) else: # print "scalar * unit" value = other unit = self # Is reduce_unit needed here? I hope not, there is a performance issue... # return Quantity(other, self).reduce_unit(self) return Quantity(other, self) Unit.__mul__ = _unit_class_mul Unit.__rmul__ = Unit.__mul__ Unit._multiplication_cache = {} # run module directly for testing if __name__=='__main__': # Test the examples in the docstrings import doctest, sys doctest.testmod(sys.modules[__name__])