""" Several methods to simplify expressions involving unit objects. """ from functools import reduce from collections.abc import Iterable from sympy.core.add import Add from sympy.core.containers import Tuple from sympy.core.mul import Mul from sympy.core.power import Pow from sympy.core.sorting import ordered from sympy.core.sympify import sympify from sympy.matrices.common import NonInvertibleMatrixError from sympy.physics.units.dimensions import Dimension from sympy.physics.units.prefixes import Prefix from sympy.physics.units.quantities import Quantity from sympy.utilities.iterables import sift def _get_conversion_matrix_for_expr(expr, target_units, unit_system): from sympy.matrices.dense import Matrix dimension_system = unit_system.get_dimension_system() expr_dim = Dimension(unit_system.get_dimensional_expr(expr)) dim_dependencies = dimension_system.get_dimensional_dependencies(expr_dim, mark_dimensionless=True) target_dims = [Dimension(unit_system.get_dimensional_expr(x)) for x in target_units] canon_dim_units = [i for x in target_dims for i in dimension_system.get_dimensional_dependencies(x, mark_dimensionless=True)] canon_expr_units = {i for i in dim_dependencies} if not canon_expr_units.issubset(set(canon_dim_units)): return None seen = set() canon_dim_units = [i for i in canon_dim_units if not (i in seen or seen.add(i))] camat = Matrix([[dimension_system.get_dimensional_dependencies(i, mark_dimensionless=True).get(j, 0) for i in target_dims] for j in canon_dim_units]) exprmat = Matrix([dim_dependencies.get(k, 0) for k in canon_dim_units]) try: res_exponents = camat.solve(exprmat) except NonInvertibleMatrixError: return None return res_exponents def convert_to(expr, target_units, unit_system="SI"): """ Convert ``expr`` to the same expression with all of its units and quantities represented as factors of ``target_units``, whenever the dimension is compatible. ``target_units`` may be a single unit/quantity, or a collection of units/quantities. Examples ======== >>> from sympy.physics.units import speed_of_light, meter, gram, second, day >>> from sympy.physics.units import mile, newton, kilogram, atomic_mass_constant >>> from sympy.physics.units import kilometer, centimeter >>> from sympy.physics.units import gravitational_constant, hbar >>> from sympy.physics.units import convert_to >>> convert_to(mile, kilometer) 25146*kilometer/15625 >>> convert_to(mile, kilometer).n() 1.609344*kilometer >>> convert_to(speed_of_light, meter/second) 299792458*meter/second >>> convert_to(day, second) 86400*second >>> 3*newton 3*newton >>> convert_to(3*newton, kilogram*meter/second**2) 3*kilogram*meter/second**2 >>> convert_to(atomic_mass_constant, gram) 1.660539060e-24*gram Conversion to multiple units: >>> convert_to(speed_of_light, [meter, second]) 299792458*meter/second >>> convert_to(3*newton, [centimeter, gram, second]) 300000*centimeter*gram/second**2 Conversion to Planck units: >>> convert_to(atomic_mass_constant, [gravitational_constant, speed_of_light, hbar]).n() 7.62963087839509e-20*hbar**0.5*speed_of_light**0.5/gravitational_constant**0.5 """ from sympy.physics.units import UnitSystem unit_system = UnitSystem.get_unit_system(unit_system) if not isinstance(target_units, (Iterable, Tuple)): target_units = [target_units] if isinstance(expr, Add): return Add.fromiter(convert_to(i, target_units, unit_system) for i in expr.args) expr = sympify(expr) if not isinstance(expr, Quantity) and expr.has(Quantity): expr = expr.replace(lambda x: isinstance(x, Quantity), lambda x: x.convert_to(target_units, unit_system)) def get_total_scale_factor(expr): if isinstance(expr, Mul): return reduce(lambda x, y: x * y, [get_total_scale_factor(i) for i in expr.args]) elif isinstance(expr, Pow): return get_total_scale_factor(expr.base) ** expr.exp elif isinstance(expr, Quantity): return unit_system.get_quantity_scale_factor(expr) return expr depmat = _get_conversion_matrix_for_expr(expr, target_units, unit_system) if depmat is None: return expr expr_scale_factor = get_total_scale_factor(expr) return expr_scale_factor * Mul.fromiter((1/get_total_scale_factor(u) * u) ** p for u, p in zip(target_units, depmat)) def quantity_simplify(expr): """Return an equivalent expression in which prefixes are replaced with numerical values and all units of a given dimension are the unified in a canonical manner. Examples ======== >>> from sympy.physics.units.util import quantity_simplify >>> from sympy.physics.units.prefixes import kilo >>> from sympy.physics.units import foot, inch >>> quantity_simplify(kilo*foot*inch) 250*foot**2/3 >>> quantity_simplify(foot - 6*inch) foot/2 """ if expr.is_Atom or not expr.has(Prefix, Quantity): return expr # replace all prefixes with numerical values p = expr.atoms(Prefix) expr = expr.xreplace({p: p.scale_factor for p in p}) # replace all quantities of given dimension with a canonical # quantity, chosen from those in the expression d = sift(expr.atoms(Quantity), lambda i: i.dimension) for k in d: if len(d[k]) == 1: continue v = list(ordered(d[k])) ref = v[0]/v[0].scale_factor expr = expr.xreplace({vi: ref*vi.scale_factor for vi in v[1:]}) return expr def check_dimensions(expr, unit_system="SI"): """Return expr if units in addends have the same base dimensions, else raise a ValueError.""" # the case of adding a number to a dimensional quantity # is ignored for the sake of SymPy core routines, so this # function will raise an error now if such an addend is # found. # Also, when doing substitutions, multiplicative constants # might be introduced, so remove those now from sympy.physics.units import UnitSystem unit_system = UnitSystem.get_unit_system(unit_system) def addDict(dict1, dict2): """Merge dictionaries by adding values of common keys and removing keys with value of 0.""" dict3 = {**dict1, **dict2} for key, value in dict3.items(): if key in dict1 and key in dict2: dict3[key] = value + dict1[key] return {key:val for key, val in dict3.items() if val != 0} adds = expr.atoms(Add) DIM_OF = unit_system.get_dimension_system().get_dimensional_dependencies for a in adds: deset = set() for ai in a.args: if ai.is_number: deset.add(()) continue dims = [] skip = False dimdict = {} for i in Mul.make_args(ai): if i.has(Quantity): i = Dimension(unit_system.get_dimensional_expr(i)) if i.has(Dimension): dimdict = addDict(dimdict, DIM_OF(i)) elif i.free_symbols: skip = True break dims.extend(dimdict.items()) if not skip: deset.add(tuple(sorted(dims))) if len(deset) > 1: raise ValueError( "addends have incompatible dimensions: {}".format(deset)) # clear multiplicative constants on Dimensions which may be # left after substitution reps = {} for m in expr.atoms(Mul): if any(isinstance(i, Dimension) for i in m.args): reps[m] = m.func(*[ i for i in m.args if not i.is_number]) return expr.xreplace(reps)