def test_float_int(): assert int(float(sqrt(10))) == int(sqrt(10)) assert int(pi**1000) % 10 == 2 assert int(Float('1.123456789012345678901234567890e20', '')) == \ long(112345678901234567890) assert int(Float('1.123456789012345678901234567890e25', '')) == \ long(11234567890123456789012345) # decimal forces float so it's not an exact integer ending in 000000 assert int(Float('1.123456789012345678901234567890e35', '')) == \ 112345678901234567890123456789000192 assert int(Float('123456789012345678901234567890e5', '')) == \ 12345678901234567890123456789000000 assert Integer(Float('1.123456789012345678901234567890e20', '')) == \ 112345678901234567890 assert Integer(Float('1.123456789012345678901234567890e25', '')) == \ 11234567890123456789012345 # decimal forces float so it's not an exact integer ending in 000000 assert Integer(Float('1.123456789012345678901234567890e35', '')) == \ 112345678901234567890123456789000192 assert Integer(Float('123456789012345678901234567890e5', '')) == \ 12345678901234567890123456789000000 assert Float('123000e-2','') == Float('1230.00', '') assert Float('123000e2','') == Float('12300000', '') assert int(1 + Rational('.9999999999999999999999999')) == 1 assert int(pi/1e20) == 0 assert int(1 + pi/1e20) == 1 assert int(Add(1.2, -2, evaluate=False)) == int(1.2 - 2) assert int(Add(1.2, +2, evaluate=False)) == int(1.2 + 2) assert int(Add(1 + Float('.99999999999999999', ''), evaluate=False)) == 1 raises(TypeError, lambda: float(x)) raises(TypeError, lambda: float(sqrt(-1))) assert int(12345678901234567890 + cos(1)**2 + sin(1)**2) == \ 12345678901234567891
def test_evalf_integer_parts(): a = floor(log(8) / log(2) - exp(-1000), evaluate=False) b = floor(log(8) / log(2), evaluate=False) assert a.evalf() == 3 assert b.evalf() == 3 # equals, as a fallback, can still fail but it might succeed as here assert ceiling(10 * (sin(1)**2 + cos(1)**2)) == 10 assert int(floor(factorial(50)/E, evaluate=False).evalf(70)) == \ long(11188719610782480504630258070757734324011354208865721592720336800) assert int(ceiling(factorial(50)/E, evaluate=False).evalf(70)) == \ long(11188719610782480504630258070757734324011354208865721592720336801) assert int( floor((GoldenRatio**999 / sqrt(5) + Rational(1, 2))).evalf(1000)) == fibonacci(999) assert int( floor((GoldenRatio**1000 / sqrt(5) + Rational(1, 2))).evalf(1000)) == fibonacci(1000) assert ceiling(x).evalf(subs={x: 3}) == 3 assert ceiling(x).evalf(subs={x: 3 * I}) == 3 * I assert ceiling(x).evalf(subs={x: 2 + 3 * I}) == 2 + 3 * I assert ceiling(x).evalf(subs={x: 3.}) == 3 assert ceiling(x).evalf(subs={x: 3. * I}) == 3 * I assert ceiling(x).evalf(subs={x: 2. + 3 * I}) == 2 + 3 * I assert float((floor(1.5, evaluate=False) + 1 / 9).evalf()) == 1 + 1 / 9 assert float((floor(0.5, evaluate=False) + 20).evalf()) == 20
def test_evalf_integer_parts(): a = floor(log(8)/log(2) - exp(-1000), evaluate=False) b = floor(log(8)/log(2), evaluate=False) assert a.evalf() == 3 assert b.evalf() == 3 # equals, as a fallback, can still fail but it might succeed as here assert ceiling(10*(sin(1)**2 + cos(1)**2)) == 10 assert int(floor(factorial(50)/E, evaluate=False).evalf(70)) == \ long(11188719610782480504630258070757734324011354208865721592720336800) assert int(ceiling(factorial(50)/E, evaluate=False).evalf(70)) == \ long(11188719610782480504630258070757734324011354208865721592720336801) assert int(floor((GoldenRatio**999 / sqrt(5) + Rational(1, 2))) .evalf(1000)) == fibonacci(999) assert int(floor((GoldenRatio**1000 / sqrt(5) + Rational(1, 2))) .evalf(1000)) == fibonacci(1000) assert ceiling(x).evalf(subs={x: 3}) == 3 assert ceiling(x).evalf(subs={x: 3*I}) == 3*I assert ceiling(x).evalf(subs={x: 2 + 3*I}) == 2 + 3*I assert ceiling(x).evalf(subs={x: 3.}) == 3 assert ceiling(x).evalf(subs={x: 3.*I}) == 3*I assert ceiling(x).evalf(subs={x: 2. + 3*I}) == 2 + 3*I assert float((floor(1.5, evaluate=False)+1/9).evalf()) == 1 + 1/9 assert float((floor(0.5, evaluate=False)+20).evalf()) == 20
def test_Catalan_EulerGamma_prec(): n = GoldenRatio f = Float(n.n(), 5) assert f._mpf_ == (0, long(212079), -17, 18) assert f._prec == 20 assert n._as_mpf_val(20) == f._mpf_ n = EulerGamma f = Float(n.n(), 5) assert f._mpf_ == (0, long(302627), -19, 19) assert f._prec == 20 assert n._as_mpf_val(20) == f._mpf_
def test_dmp_eval_in(): assert dmp_eval_in( f_6, -2, 1, 3, ZZ) == dmp_eval(dmp_swap(f_6, 0, 1, 3, ZZ), -2, 3, ZZ) assert dmp_eval_in( f_6, 7, 1, 3, ZZ) == dmp_eval(dmp_swap(f_6, 0, 1, 3, ZZ), 7, 3, ZZ) assert dmp_eval_in(f_6, -2, 2, 3, ZZ) == dmp_swap( dmp_eval(dmp_swap(f_6, 0, 2, 3, ZZ), -2, 3, ZZ), 0, 1, 2, ZZ) assert dmp_eval_in(f_6, 7, 2, 3, ZZ) == dmp_swap( dmp_eval(dmp_swap(f_6, 0, 2, 3, ZZ), 7, 3, ZZ), 0, 1, 2, ZZ) f = [[[long(45)]], [[]], [[]], [[long(-9)], [-1], [], [long(3), long(0), long(10), long(0)]]] assert dmp_eval_in(f, -2, 2, 2, ZZ) == \ [[45], [], [], [-9, -1, 0, -44]]
def test_measure_partial(): #Basic test of collapse of entangled two qubits (Bell States) state = Qubit('01') + Qubit('10') assert measure_partial(state, (0,)) == \ [(Qubit('10'), Rational(1, 2)), (Qubit('01'), Rational(1, 2))] assert measure_partial(state, long(0)) == \ [(Qubit('10'), Rational(1, 2)), (Qubit('01'), Rational(1, 2))] assert measure_partial(state, (0,)) == \ measure_partial(state, (1,))[::-1] #Test of more complex collapse and probability calculation state1 = sqrt(2)/sqrt(3)*Qubit('00001') + 1/sqrt(3)*Qubit('11111') assert measure_partial(state1, (0,)) == \ [(sqrt(2)/sqrt(3)*Qubit('00001') + 1/sqrt(3)*Qubit('11111'), 1)] assert measure_partial(state1, (1, 2)) == measure_partial(state1, (3, 4)) assert measure_partial(state1, (1, 2, 3)) == \ [(Qubit('00001'), Rational(2, 3)), (Qubit('11111'), Rational(1, 3))] #test of measuring multiple bits at once state2 = Qubit('1111') + Qubit('1101') + Qubit('1011') + Qubit('1000') assert measure_partial(state2, (0, 1, 3)) == \ [(Qubit('1000'), Rational(1, 4)), (Qubit('1101'), Rational(1, 4)), (Qubit('1011')/sqrt(2) + Qubit('1111')/sqrt(2), Rational(1, 2))] assert measure_partial(state2, (0,)) == \ [(Qubit('1000'), Rational(1, 4)), (Qubit('1111')/sqrt(3) + Qubit('1101')/sqrt(3) + Qubit('1011')/sqrt(3), Rational(3, 4))]
def test_trigsimp_groebner(): from sympy.simplify.trigsimp import trigsimp_groebner c = cos(x) s = sin(x) ex = (4*s*c + 12*s + 5*c**3 + 21*c**2 + 23*c + 15)/( -s*c**2 + 2*s*c + 15*s + 7*c**3 + 31*c**2 + 37*c + 21) resnum = (5*s - 5*c + 1) resdenom = (8*s - 6*c) results = [resnum/resdenom, (-resnum)/(-resdenom)] assert trigsimp_groebner(ex) in results assert trigsimp_groebner(s/c, hints=[tan]) == tan(x) assert trigsimp_groebner(c*s) == c*s assert trigsimp((-s + 1)/c + c/(-s + 1), method='groebner') == 2/c assert trigsimp((-s + 1)/c + c/(-s + 1), method='groebner', polynomial=True) == 2/c # Test quick=False works assert trigsimp_groebner(ex, hints=[2]) in results assert trigsimp_groebner(ex, hints=[long(2)]) in results # test "I" assert trigsimp_groebner(sin(I*x)/cos(I*x), hints=[tanh]) == I*tanh(x) # test hyperbolic / sums assert trigsimp_groebner((tanh(x)+tanh(y))/(1+tanh(x)*tanh(y)), hints=[(tanh, x, y)]) == tanh(x + y)
def test_trigsimp_groebner(): from sympy.simplify.trigsimp import trigsimp_groebner c = cos(x) s = sin(x) ex = (4 * s * c + 12 * s + 5 * c**3 + 21 * c**2 + 23 * c + 15) / ( -s * c**2 + 2 * s * c + 15 * s + 7 * c**3 + 31 * c**2 + 37 * c + 21) resnum = 5 * s - 5 * c + 1 resdenom = 8 * s - 6 * c results = [resnum / resdenom, (-resnum) / (-resdenom)] assert trigsimp_groebner(ex) in results assert trigsimp_groebner(s / c, hints=[tan]) == tan(x) assert trigsimp_groebner(c * s) == c * s assert trigsimp((-s + 1) / c + c / (-s + 1), method="groebner") == 2 / c assert (trigsimp((-s + 1) / c + c / (-s + 1), method="groebner", polynomial=True) == 2 / c) # Test quick=False works assert trigsimp_groebner(ex, hints=[2]) in results assert trigsimp_groebner(ex, hints=[long(2)]) in results # test "I" assert trigsimp_groebner(sin(I * x) / cos(I * x), hints=[tanh]) == I * tanh(x) # test hyperbolic / sums assert trigsimp_groebner((tanh(x) + tanh(y)) / (1 + tanh(x) * tanh(y)), hints=[(tanh, x, y)]) == tanh(x + y)
def test_measure_partial(): #Basic test of collapse of entangled two qubits (Bell States) state = Qubit('01') + Qubit('10') assert measure_partial(state, (0,)) == \ [(Qubit('10'), S.Half), (Qubit('01'), S.Half)] assert measure_partial(state, long(0)) == \ [(Qubit('10'), S.Half), (Qubit('01'), S.Half)] assert measure_partial(state, (0,)) == \ measure_partial(state, (1,))[::-1] #Test of more complex collapse and probability calculation state1 = sqrt(2) / sqrt(3) * Qubit('00001') + 1 / sqrt(3) * Qubit('11111') assert measure_partial(state1, (0,)) == \ [(sqrt(2)/sqrt(3)*Qubit('00001') + 1/sqrt(3)*Qubit('11111'), 1)] assert measure_partial(state1, (1, 2)) == measure_partial(state1, (3, 4)) assert measure_partial(state1, (1, 2, 3)) == \ [(Qubit('00001'), Rational(2, 3)), (Qubit('11111'), Rational(1, 3))] #test of measuring multiple bits at once state2 = Qubit('1111') + Qubit('1101') + Qubit('1011') + Qubit('1000') assert measure_partial(state2, (0, 1, 3)) == \ [(Qubit('1000'), Rational(1, 4)), (Qubit('1101'), Rational(1, 4)), (Qubit('1011')/sqrt(2) + Qubit('1111')/sqrt(2), S.Half)] assert measure_partial(state2, (0,)) == \ [(Qubit('1000'), Rational(1, 4)), (Qubit('1111')/sqrt(3) + Qubit('1101')/sqrt(3) + Qubit('1011')/sqrt(3), Rational(3, 4))]
def test_evalf_integer_parts(): a = floor(log(8)/log(2) - exp(-1000), evaluate=False) b = floor(log(8)/log(2), evaluate=False) raises(PrecisionExhausted, lambda: a.evalf()) assert a.evalf(chop=True) == 3 assert a.evalf(maxn=500) == 2 assert b.evalf() == 3 # equals, as a fallback, can still fail but it might succeed as here assert ceiling(10*(sin(1)**2 + cos(1)**2)) == 10 assert int(floor(factorial(50)/E, evaluate=False).evalf(70)) == \ long(11188719610782480504630258070757734324011354208865721592720336800) assert int(ceiling(factorial(50)/E, evaluate=False).evalf(70)) == \ long(11188719610782480504630258070757734324011354208865721592720336801) assert int(floor((GoldenRatio**999 / sqrt(5) + Rational(1, 2))) .evalf(1000)) == fibonacci(999) assert int(floor((GoldenRatio**1000 / sqrt(5) + Rational(1, 2))) .evalf(1000)) == fibonacci(1000)
def test_levicivita(): assert Eijk(1, 2, 3) == LeviCivita(1, 2, 3) assert LeviCivita(1, 2, 3) == 1 assert LeviCivita(long(1), long(2), long(3)) == 1 assert LeviCivita(1, 3, 2) == -1 assert LeviCivita(1, 2, 2) == 0 i, j, k = symbols('i j k') assert LeviCivita(i, j, k) == LeviCivita(i, j, k, evaluate=False) assert LeviCivita(i, j, i) == 0 assert LeviCivita(1, i, i) == 0 assert LeviCivita(i, j, k).doit() == (j - i)*(k - i)*(k - j)/2 assert LeviCivita(1, 2, 3, 1) == 0 assert LeviCivita(4, 5, 1, 2, 3) == 1 assert LeviCivita(4, 5, 2, 1, 3) == -1 assert LeviCivita(i, j, k).is_integer is True assert adjoint(LeviCivita(i, j, k)) == LeviCivita(i, j, k) assert conjugate(LeviCivita(i, j, k)) == LeviCivita(i, j, k) assert transpose(LeviCivita(i, j, k)) == LeviCivita(i, j, k)
def test_single_indexing(): A = MatrixSymbol('A', 2, 3) assert A[1] == A[0, 1] assert A[long(1)] == A[0, 1] assert A[3] == A[1, 0] assert list(A[:2, :2]) == [A[0, 0], A[0, 1], A[1, 0], A[1, 1]] raises(IndexError, lambda: A[6]) raises(IndexError, lambda: A[n]) B = MatrixSymbol('B', n, m) raises(IndexError, lambda: B[1]) B = MatrixSymbol('B', n, 3) assert B[3] == B[1, 0]
def test_long(): a = Rational(5) assert long(a) == 5 a = Rational(9, 10) assert long(a) == long(-a) == 0 a = Integer(2**100) assert long(a) == a assert long(pi) == 3 assert long(E) == 2 assert long(GoldenRatio) == 1
def _test_rational_new(cls): """ Tests that are common between Integer and Rational. """ assert cls(0) is S.Zero assert cls(1) is S.One assert cls(-1) is S.NegativeOne # These look odd, but are similar to int(): assert cls('1') is S.One assert cls(u('-1')) is S.NegativeOne i = Integer(10) assert _strictly_equal(i, cls('10')) assert _strictly_equal(i, cls(u('10'))) assert _strictly_equal(i, cls(long(10))) assert _strictly_equal(i, cls(i)) raises(TypeError, lambda: cls(Symbol('x')))
def test_mpmath_issues(): from sympy.mpmath.libmp.libmpf import _normalize import sympy.mpmath.libmp as mlib rnd = mlib.round_nearest mpf = (0, long(0), -123, -1, 53, rnd) # nan assert _normalize(mpf, 53) != (0, long(0), 0, 0) mpf = (0, long(0), -456, -2, 53, rnd) # +inf assert _normalize(mpf, 53) != (0, long(0), 0, 0) mpf = (1, long(0), -789, -3, 53, rnd) # -inf assert _normalize(mpf, 53) != (0, long(0), 0, 0) from sympy.mpmath.libmp.libmpf import fnan assert mlib.mpf_eq(fnan, fnan)
def test___hash__(): # issue 5571 # Make sure int vs. long doesn't affect hashing with Python ground types assert DMP([[1, 2], [3]], ZZ) == DMP([[long(1), long(2)], [long(3)]], ZZ) assert hash(DMP([[1, 2], [3]], ZZ)) == hash(DMP([[long(1), long(2)], [long(3)]], ZZ)) assert DMF(([[1, 2], [3]], [[1]]), ZZ) == DMF( ([[long(1), long(2)], [long(3)]], [[long(1)]]), ZZ) assert hash(DMF( ([[1, 2], [3]], [[1]]), ZZ)) == hash(DMF(([[long(1), long(2)], [long(3)]], [[long(1)]]), ZZ)) assert ANP([1, 1], [1, 0, 1], ZZ) == ANP([long(1), long(1)], [long(1), long(0), long(1)], ZZ) assert hash(ANP([1, 1], [1, 0, 1], ZZ)) == hash( ANP([long(1), long(1)], [long(1), long(0), long(1)], ZZ))
def test_factorint(): assert primefactors(123456) == [2, 3, 643] assert factorint(0) == {0: 1} assert factorint(1) == {} assert factorint(-1) == {-1: 1} assert factorint(-2) == {-1: 1, 2: 1} assert factorint(-16) == {-1: 1, 2: 4} assert factorint(2) == {2: 1} assert factorint(126) == {2: 1, 3: 2, 7: 1} assert factorint(123456) == {2: 6, 3: 1, 643: 1} assert factorint(5951757) == {3: 1, 7: 1, 29: 2, 337: 1} assert factorint(64015937) == {7993: 1, 8009: 1} assert factorint(2**(2**6) + 1) == {274177: 1, 67280421310721: 1} assert multiproduct(factorint(fac(200))) == fac(200) for b, e in factorint(fac(150)).items(): assert e == fac_multiplicity(150, b) assert factorint(103005006059**7) == {103005006059: 7} assert factorint(31337**191) == {31337: 191} assert factorint(2**1000 * 3**500 * 257**127 * 383**60) == \ {2: 1000, 3: 500, 257: 127, 383: 60} assert len(factorint(fac(10000))) == 1229 assert factorint(12932983746293756928584532764589230) == \ {2: 1, 5: 1, 73: 1, 727719592270351: 1, 63564265087747: 1, 383: 1} assert factorint(727719592270351) == {727719592270351: 1} assert factorint(2**64 + 1, use_trial=False) == factorint(2**64 + 1) for n in range(60000): assert multiproduct(factorint(n)) == n assert pollard_rho(2**64 + 1, seed=1) == 274177 assert pollard_rho(19, seed=1) is None assert factorint(3, limit=2) == {3: 1} assert factorint(12345) == {3: 1, 5: 1, 823: 1} assert factorint(12345, limit=3) == { 4115: 1, 3: 1 } # the 5 is greater than the limit assert factorint(1, limit=1) == {} assert factorint(0, 3) == {0: 1} assert factorint(12, limit=1) == {12: 1} assert factorint(30, limit=2) == {2: 1, 15: 1} assert factorint(16, limit=2) == {2: 4} assert factorint(124, limit=3) == {2: 2, 31: 1} assert factorint(4 * 31**2, limit=3) == {2: 2, 31: 2} p1 = nextprime(2**32) p2 = nextprime(2**16) p3 = nextprime(p2) assert factorint(p1 * p2 * p3) == {p1: 1, p2: 1, p3: 1} assert factorint(13 * 17 * 19, limit=15) == {13: 1, 17 * 19: 1} assert factorint(1951 * 15013 * 15053, limit=2000) == { 225990689: 1, 1951: 1 } assert factorint(primorial(17) + 1, use_pm1=0) == \ {long(19026377261): 1, 3467: 1, 277: 1, 105229: 1} # when prime b is closer than approx sqrt(8*p) to prime p then they are # "close" and have a trivial factorization a = nextprime(2**2**8) # 78 digits b = nextprime(a + 2**2**4) assert 'Fermat' in capture(lambda: factorint(a * b, verbose=1)) raises(ValueError, lambda: pollard_rho(4)) raises(ValueError, lambda: pollard_pm1(3)) raises(ValueError, lambda: pollard_pm1(10, B=2)) # verbose coverage n = nextprime(2**16) * nextprime(2**17) * nextprime(1901) assert 'with primes' in capture(lambda: factorint(n, verbose=1)) capture(lambda: factorint(nextprime(2**16) * 1012, verbose=1)) n = nextprime(2**17) capture(lambda: factorint(n**3, verbose=1)) # perfect power termination capture(lambda: factorint(2 * n, verbose=1)) # factoring complete msg # exceed 1st n = nextprime(2**17) n *= nextprime(n) assert '1000' in capture(lambda: factorint(n, limit=1000, verbose=1)) n *= nextprime(n) assert len(factorint(n)) == 3 assert len(factorint(n, limit=p1)) == 3 n *= nextprime(2 * n) # exceed 2nd assert '2001' in capture(lambda: factorint(n, limit=2000, verbose=1)) assert capture(lambda: factorint(n, limit=4000, verbose=1)).count( 'Pollard') == 2 # non-prime pm1 result n = nextprime(8069) n *= nextprime(2 * n) * nextprime(2 * n, 2) capture(lambda: factorint(n, verbose=1)) # non-prime pm1 result # factor fermat composite p1 = nextprime(2**17) p2 = nextprime(2 * p1) assert factorint((p1 * p2**2)**3) == {p1: 3, p2: 6} # Test for non integer input raises(ValueError, lambda: factorint(4.5))
def test_to_mpmath(): assert sqrt(3)._to_mpmath(20)._mpf_ == (0, long(908093), -19, 20) assert S(3.2)._to_mpmath(20)._mpf_ == (0, long(838861), -18, 20)
def test_ndim_array_initiation(): arr_with_one_element = MutableDenseNDimArray([23]) assert len(arr_with_one_element) == 1 assert arr_with_one_element[0] == 23 assert arr_with_one_element.rank() == 1 raises(ValueError, lambda: arr_with_one_element[1]) arr_with_symbol_element = MutableDenseNDimArray([Symbol('x')]) assert len(arr_with_symbol_element) == 1 assert arr_with_symbol_element[0] == Symbol('x') assert arr_with_symbol_element.rank() == 1 number5 = 5 vector = MutableDenseNDimArray.zeros(number5) assert len(vector) == number5 assert vector.shape == (number5,) assert vector.rank() == 1 raises(ValueError, lambda: arr_with_one_element[5]) vector = MutableSparseNDimArray.zeros(number5) assert len(vector) == number5 assert vector.shape == (number5,) assert vector._sparse_array == {} assert vector.rank() == 1 n_dim_array = MutableDenseNDimArray(range(3**4), (3, 3, 3, 3,)) assert len(n_dim_array) == 3 * 3 * 3 * 3 assert n_dim_array.shape == (3, 3, 3, 3) assert n_dim_array.rank() == 4 raises(ValueError, lambda: n_dim_array[0, 0, 0, 3]) raises(ValueError, lambda: n_dim_array[3, 0, 0, 0]) raises(ValueError, lambda: n_dim_array[3**4]) array_shape = (3, 3, 3, 3) sparse_array = MutableSparseNDimArray.zeros(*array_shape) assert len(sparse_array._sparse_array) == 0 assert len(sparse_array) == 3 * 3 * 3 * 3 assert n_dim_array.shape == array_shape assert n_dim_array.rank() == 4 one_dim_array = MutableDenseNDimArray([2, 3, 1]) assert len(one_dim_array) == 3 assert one_dim_array.shape == (3,) assert one_dim_array.rank() == 1 assert one_dim_array.tolist() == [2, 3, 1] shape = (3, 3) array_with_many_args = MutableSparseNDimArray.zeros(*shape) assert len(array_with_many_args) == 3 * 3 assert array_with_many_args.shape == shape assert array_with_many_args[0, 0] == 0 assert array_with_many_args.rank() == 2 shape = (long(3), long(3)) array_with_long_shape = MutableSparseNDimArray.zeros(*shape) assert len(array_with_long_shape) == 3 * 3 assert array_with_long_shape.shape == shape assert array_with_long_shape[long(0), long(0)] == 0 assert array_with_long_shape.rank() == 2 vector_with_long_shape = MutableDenseNDimArray(range(5), long(5)) assert len(vector_with_long_shape) == 5 assert vector_with_long_shape.shape == (long(5),) assert vector_with_long_shape.rank() == 1 raises(ValueError, lambda: vector_with_long_shape[long(5)])
def test_ndim_array_initiation(): arr_with_no_elements = ImmutableDenseNDimArray([], shape=(0, )) assert len(arr_with_no_elements) == 0 assert arr_with_no_elements.rank() == 1 raises(ValueError, lambda: ImmutableDenseNDimArray([0], shape=(0, ))) raises(ValueError, lambda: ImmutableDenseNDimArray([1, 2, 3], shape=(0, ))) raises(ValueError, lambda: ImmutableDenseNDimArray([], shape=())) raises(ValueError, lambda: ImmutableSparseNDimArray([0], shape=(0, ))) raises(ValueError, lambda: ImmutableSparseNDimArray([1, 2, 3], shape=(0, ))) raises(ValueError, lambda: ImmutableSparseNDimArray([], shape=())) arr_with_one_element = ImmutableDenseNDimArray([23]) assert len(arr_with_one_element) == 1 assert arr_with_one_element[0] == 23 assert arr_with_one_element[:] == ImmutableDenseNDimArray([23]) assert arr_with_one_element.rank() == 1 arr_with_symbol_element = ImmutableDenseNDimArray([Symbol('x')]) assert len(arr_with_symbol_element) == 1 assert arr_with_symbol_element[0] == Symbol('x') assert arr_with_symbol_element[:] == ImmutableDenseNDimArray([Symbol('x')]) assert arr_with_symbol_element.rank() == 1 number5 = 5 vector = ImmutableDenseNDimArray.zeros(number5) assert len(vector) == number5 assert vector.shape == (number5, ) assert vector.rank() == 1 vector = ImmutableSparseNDimArray.zeros(number5) assert len(vector) == number5 assert vector.shape == (number5, ) assert vector._sparse_array == Dict() assert vector.rank() == 1 n_dim_array = ImmutableDenseNDimArray(range(3**4), ( 3, 3, 3, 3, )) assert len(n_dim_array) == 3 * 3 * 3 * 3 assert n_dim_array.shape == (3, 3, 3, 3) assert n_dim_array.rank() == 4 array_shape = (3, 3, 3, 3) sparse_array = ImmutableSparseNDimArray.zeros(*array_shape) assert len(sparse_array._sparse_array) == 0 assert len(sparse_array) == 3 * 3 * 3 * 3 assert n_dim_array.shape == array_shape assert n_dim_array.rank() == 4 one_dim_array = ImmutableDenseNDimArray([2, 3, 1]) assert len(one_dim_array) == 3 assert one_dim_array.shape == (3, ) assert one_dim_array.rank() == 1 assert one_dim_array.tolist() == [2, 3, 1] shape = (3, 3) array_with_many_args = ImmutableSparseNDimArray.zeros(*shape) assert len(array_with_many_args) == 3 * 3 assert array_with_many_args.shape == shape assert array_with_many_args[0, 0] == 0 assert array_with_many_args.rank() == 2 shape = (long(3), long(3)) array_with_long_shape = ImmutableSparseNDimArray.zeros(*shape) assert len(array_with_long_shape) == 3 * 3 assert array_with_long_shape.shape == shape assert array_with_long_shape[long(0), long(0)] == 0 assert array_with_long_shape.rank() == 2 vector_with_long_shape = ImmutableDenseNDimArray(range(5), long(5)) assert len(vector_with_long_shape) == 5 assert vector_with_long_shape.shape == (long(5), ) assert vector_with_long_shape.rank() == 1 raises(ValueError, lambda: vector_with_long_shape[long(5)]) from sympy.abc import x for ArrayType in [ImmutableDenseNDimArray, ImmutableSparseNDimArray]: rank_zero_array = ArrayType(x) assert len(rank_zero_array) == 1 assert rank_zero_array.shape == () assert rank_zero_array.rank() == 0 assert rank_zero_array[()] == x raises(ValueError, lambda: rank_zero_array[0])
def test_factorint(): assert primefactors(123456) == [2, 3, 643] assert factorint(0) == {0: 1} assert factorint(1) == {} assert factorint(-1) == {-1: 1} assert factorint(-2) == {-1: 1, 2: 1} assert factorint(-16) == {-1: 1, 2: 4} assert factorint(2) == {2: 1} assert factorint(126) == {2: 1, 3: 2, 7: 1} assert factorint(123456) == {2: 6, 3: 1, 643: 1} assert factorint(5951757) == {3: 1, 7: 1, 29: 2, 337: 1} assert factorint(64015937) == {7993: 1, 8009: 1} assert factorint(2**(2**6) + 1) == {274177: 1, 67280421310721: 1} # issue 17676 assert factorint(28300421052393658575) == { 3: 1, 5: 2, 11: 2, 43: 1, 2063: 2, 4127: 1, 4129: 1, } assert factorint(2063**2 * 4127**1 * 4129**1) == { 2063: 2, 4127: 1, 4129: 1 } assert factorint(2347**2 * 7039**1 * 7043**1) == { 2347: 2, 7039: 1, 7043: 1 } assert factorint(0, multiple=True) == [0] assert factorint(1, multiple=True) == [] assert factorint(-1, multiple=True) == [-1] assert factorint(-2, multiple=True) == [-1, 2] assert factorint(-16, multiple=True) == [-1, 2, 2, 2, 2] assert factorint(2, multiple=True) == [2] assert factorint(24, multiple=True) == [2, 2, 2, 3] assert factorint(126, multiple=True) == [2, 3, 3, 7] assert factorint(123456, multiple=True) == [2, 2, 2, 2, 2, 2, 3, 643] assert factorint(5951757, multiple=True) == [3, 7, 29, 29, 337] assert factorint(64015937, multiple=True) == [7993, 8009] assert factorint(2**(2**6) + 1, multiple=True) == [274177, 67280421310721] assert factorint(fac(1, evaluate=False)) == {} assert factorint(fac(7, evaluate=False)) == {2: 4, 3: 2, 5: 1, 7: 1} assert factorint(fac(15, evaluate=False)) == { 2: 11, 3: 6, 5: 3, 7: 2, 11: 1, 13: 1 } assert factorint(fac(20, evaluate=False)) == { 2: 18, 3: 8, 5: 4, 7: 2, 11: 1, 13: 1, 17: 1, 19: 1, } assert factorint(fac(23, evaluate=False)) == { 2: 19, 3: 9, 5: 4, 7: 3, 11: 2, 13: 1, 17: 1, 19: 1, 23: 1, } assert multiproduct(factorint(fac(200))) == fac(200) assert multiproduct(factorint(fac(200, evaluate=False))) == fac(200) for b, e in factorint(fac(150)).items(): assert e == fac_multiplicity(150, b) for b, e in factorint(fac(150, evaluate=False)).items(): assert e == fac_multiplicity(150, b) assert factorint(103005006059**7) == {103005006059: 7} assert factorint(31337**191) == {31337: 191} assert factorint(2**1000 * 3**500 * 257**127 * 383**60) == { 2: 1000, 3: 500, 257: 127, 383: 60, } assert len(factorint(fac(10000))) == 1229 assert len(factorint(fac(10000, evaluate=False))) == 1229 assert factorint(12932983746293756928584532764589230) == { 2: 1, 5: 1, 73: 1, 727719592270351: 1, 63564265087747: 1, 383: 1, } assert factorint(727719592270351) == {727719592270351: 1} assert factorint(2**64 + 1, use_trial=False) == factorint(2**64 + 1) for n in range(60000): assert multiproduct(factorint(n)) == n assert pollard_rho(2**64 + 1, seed=1) == 274177 assert pollard_rho(19, seed=1) is None assert factorint(3, limit=2) == {3: 1} assert factorint(12345) == {3: 1, 5: 1, 823: 1} assert factorint(12345, limit=3) == { 4115: 1, 3: 1, } # the 5 is greater than the limit assert factorint(1, limit=1) == {} assert factorint(0, 3) == {0: 1} assert factorint(12, limit=1) == {12: 1} assert factorint(30, limit=2) == {2: 1, 15: 1} assert factorint(16, limit=2) == {2: 4} assert factorint(124, limit=3) == {2: 2, 31: 1} assert factorint(4 * 31**2, limit=3) == {2: 2, 31: 2} p1 = nextprime(2**32) p2 = nextprime(2**16) p3 = nextprime(p2) assert factorint(p1 * p2 * p3) == {p1: 1, p2: 1, p3: 1} assert factorint(13 * 17 * 19, limit=15) == {13: 1, 17 * 19: 1} assert factorint(1951 * 15013 * 15053, limit=2000) == { 225990689: 1, 1951: 1 } assert factorint(primorial(17) + 1, use_pm1=0) == { long(19026377261): 1, 3467: 1, 277: 1, 105229: 1, } # when prime b is closer than approx sqrt(8*p) to prime p then they are # "close" and have a trivial factorization a = nextprime(2**2**8) # 78 digits b = nextprime(a + 2**2**4) assert "Fermat" in capture(lambda: factorint(a * b, verbose=1)) raises(ValueError, lambda: pollard_rho(4)) raises(ValueError, lambda: pollard_pm1(3)) raises(ValueError, lambda: pollard_pm1(10, B=2)) # verbose coverage n = nextprime(2**16) * nextprime(2**17) * nextprime(1901) assert "with primes" in capture(lambda: factorint(n, verbose=1)) capture(lambda: factorint(nextprime(2**16) * 1012, verbose=1)) n = nextprime(2**17) capture(lambda: factorint(n**3, verbose=1)) # perfect power termination capture(lambda: factorint(2 * n, verbose=1)) # factoring complete msg # exceed 1st n = nextprime(2**17) n *= nextprime(n) assert "1000" in capture(lambda: factorint(n, limit=1000, verbose=1)) n *= nextprime(n) assert len(factorint(n)) == 3 assert len(factorint(n, limit=p1)) == 3 n *= nextprime(2 * n) # exceed 2nd assert "2001" in capture(lambda: factorint(n, limit=2000, verbose=1)) assert capture(lambda: factorint(n, limit=4000, verbose=1)).count( "Pollard") == 2 # non-prime pm1 result n = nextprime(8069) n *= nextprime(2 * n) * nextprime(2 * n, 2) capture(lambda: factorint(n, verbose=1)) # non-prime pm1 result # factor fermat composite p1 = nextprime(2**17) p2 = nextprime(2 * p1) assert factorint((p1 * p2**2)**3) == {p1: 3, p2: 6} # Test for non integer input raises(ValueError, lambda: factorint(4.5)) # test dict/Dict input sans = "2**10*3**3" n = {4: 2, 12: 3} assert str(factorint(n)) == sans assert str(factorint(Dict(n))) == sans
def test_Float(): def eq(a, b): t = Float("1.0E-15") return -t < a - b < t a = Float(2) ** Float(3) assert eq(a.evalf(), Float(8)) assert eq((pi ** -1).evalf(), Float("0.31830988618379067")) a = Float(2) ** Float(4) assert eq(a.evalf(), Float(16)) assert (S(0.3) == S(0.5)) is False x_str = Float((0, "13333333333333", -52, 53)) x2_str = Float((0, "26666666666666", -53, 53)) x_hex = Float((0, long(0x13333333333333), -52, 53)) x_dec = Float((0, 5404319552844595, -52, 53)) x2_hex = Float((0, long(0x13333333333333) * 2, -53, 53)) assert x_str == x_hex == x_dec == x2_hex == Float(1.2) # x2_str and 1.2 are superficially the same assert str(x2_str) == str(Float(1.2)) # but are different at the mpf level assert Float(1.2)._mpf_ == (0, long(5404319552844595), -52, 53) assert x2_str._mpf_ == (0, long(10808639105689190), -53, 53) assert Float((0, long(0), -123, -1)) == Float("nan") assert Float((0, long(0), -456, -2)) == Float("inf") == Float("+inf") assert Float((1, long(0), -789, -3)) == Float("-inf") raises(ValueError, lambda: Float((0, 7, 1, 3), "")) assert Float("+inf").is_finite is False assert Float("+inf").is_negative is False assert Float("+inf").is_positive is True assert Float("+inf").is_infinite is True assert Float("+inf").is_zero is False assert Float("-inf").is_finite is False assert Float("-inf").is_negative is True assert Float("-inf").is_positive is False assert Float("-inf").is_infinite is True assert Float("-inf").is_zero is False assert Float("0.0").is_finite is True assert Float("0.0").is_negative is False assert Float("0.0").is_positive is False assert Float("0.0").is_infinite is False assert Float("0.0").is_zero is True # rationality properties assert Float(1).is_rational is None assert Float(1).is_irrational is None assert sqrt(2).n(15).is_rational is None assert sqrt(2).n(15).is_irrational is None # do not automatically evalf def teq(a): assert (a.evalf() == a) is False assert (a.evalf() != a) is True assert (a == a.evalf()) is False assert (a != a.evalf()) is True teq(pi) teq(2 * pi) teq(cos(0.1, evaluate=False)) # long integer i = 12345678901234567890 assert same_and_same_prec(Float(12, ""), Float("12", "")) assert same_and_same_prec(Float(Integer(i), ""), Float(i, "")) assert same_and_same_prec(Float(i, ""), Float(str(i), 20)) assert same_and_same_prec(Float(str(i)), Float(i, "")) assert same_and_same_prec(Float(i), Float(i, "")) # inexact floats (repeating binary = denom not multiple of 2) # cannot have precision greater than 15 assert Float(0.125, 22) == 0.125 assert Float(2.0, 22) == 2 assert float(Float(".12500000000000001", "")) == 0.125 raises(ValueError, lambda: Float(0.12500000000000001, "")) # allow spaces Float("123 456.123 456") == Float("123456.123456") Integer("123 456") == Integer("123456") Rational("123 456.123 456") == Rational("123456.123456") assert Float(" .3e2") == Float("0.3e2") # allow auto precision detection assert Float(".1", "") == Float(0.1, 1) assert Float(".125", "") == Float(0.125, 3) assert Float(".100", "") == Float(0.1, 3) assert Float("2.0", "") == Float("2", 2) raises(ValueError, lambda: Float("12.3d-4", "")) raises(ValueError, lambda: Float(12.3, "")) raises(ValueError, lambda: Float(".")) raises(ValueError, lambda: Float("-.")) zero = Float("0.0") assert Float("-0") == zero assert Float(".0") == zero assert Float("-.0") == zero assert Float("-0.0") == zero assert Float(0.0) == zero assert Float(0) == zero assert Float(0, "") == Float("0", "") assert Float(1) == Float(1.0) assert Float(S.Zero) == zero assert Float(S.One) == Float(1.0) assert Float(decimal.Decimal("0.1"), 3) == Float(".1", 3) assert "{0:.3f}".format(Float(4.236622)) == "4.237" assert "{0:.35f}".format(Float(pi.n(40), 40)) == "3.14159265358979323846264338327950288"
def test_ndim_array_initiation(): arr_with_no_elements = ImmutableDenseNDimArray([], shape=(0,)) assert len(arr_with_no_elements) == 0 assert arr_with_no_elements.rank() == 1 raises(ValueError, lambda: ImmutableDenseNDimArray([0], shape=(0,))) raises(ValueError, lambda: ImmutableDenseNDimArray([1, 2, 3], shape=(0,))) raises(ValueError, lambda: ImmutableDenseNDimArray([], shape=())) raises(ValueError, lambda: ImmutableSparseNDimArray([0], shape=(0,))) raises(ValueError, lambda: ImmutableSparseNDimArray([1, 2, 3], shape=(0,))) raises(ValueError, lambda: ImmutableSparseNDimArray([], shape=())) arr_with_one_element = ImmutableDenseNDimArray([23]) assert len(arr_with_one_element) == 1 assert arr_with_one_element[0] == 23 assert arr_with_one_element[:] == [23] assert arr_with_one_element.rank() == 1 arr_with_symbol_element = ImmutableDenseNDimArray([Symbol('x')]) assert len(arr_with_symbol_element) == 1 assert arr_with_symbol_element[0] == Symbol('x') assert arr_with_symbol_element[:] == [Symbol('x')] assert arr_with_symbol_element.rank() == 1 number5 = 5 vector = ImmutableDenseNDimArray.zeros(number5) assert len(vector) == number5 assert vector.shape == (number5,) assert vector.rank() == 1 vector = ImmutableSparseNDimArray.zeros(number5) assert len(vector) == number5 assert vector.shape == (number5,) assert vector._sparse_array == Dict() assert vector.rank() == 1 n_dim_array = ImmutableDenseNDimArray(range(3**4), (3, 3, 3, 3,)) assert len(n_dim_array) == 3 * 3 * 3 * 3 assert n_dim_array.shape == (3, 3, 3, 3) assert n_dim_array.rank() == 4 array_shape = (3, 3, 3, 3) sparse_array = ImmutableSparseNDimArray.zeros(*array_shape) assert len(sparse_array._sparse_array) == 0 assert len(sparse_array) == 3 * 3 * 3 * 3 assert n_dim_array.shape == array_shape assert n_dim_array.rank() == 4 one_dim_array = ImmutableDenseNDimArray([2, 3, 1]) assert len(one_dim_array) == 3 assert one_dim_array.shape == (3,) assert one_dim_array.rank() == 1 assert one_dim_array.tolist() == [2, 3, 1] shape = (3, 3) array_with_many_args = ImmutableSparseNDimArray.zeros(*shape) assert len(array_with_many_args) == 3 * 3 assert array_with_many_args.shape == shape assert array_with_many_args[0, 0] == 0 assert array_with_many_args.rank() == 2 shape = (long(3), long(3)) array_with_long_shape = ImmutableSparseNDimArray.zeros(*shape) assert len(array_with_long_shape) == 3 * 3 assert array_with_long_shape.shape == shape assert array_with_long_shape[long(0), long(0)] == 0 assert array_with_long_shape.rank() == 2 vector_with_long_shape = ImmutableDenseNDimArray(range(5), long(5)) assert len(vector_with_long_shape) == 5 assert vector_with_long_shape.shape == (long(5),) assert vector_with_long_shape.rank() == 1 raises(ValueError, lambda: vector_with_long_shape[long(5)]) from sympy.abc import x rank_zero_array = ImmutableDenseNDimArray(x) assert len(rank_zero_array) == 1 assert rank_zero_array.shape == () assert rank_zero_array.rank() == 0 assert rank_zero_array[()] == x assert rank_zero_array[0] == x
def test___hash__(): # issue 5571 # Make sure int vs. long doesn't affect hashing with Python ground types assert DMP([[1, 2], [3]], ZZ) == DMP([[long(1), long(2)], [long(3)]], ZZ) assert hash(DMP([[1, 2], [3]], ZZ)) == hash(DMP([[long(1), long(2)], [long(3)]], ZZ)) assert DMF( ([[1, 2], [3]], [[1]]), ZZ) == DMF(([[long(1), long(2)], [long(3)]], [[long(1)]]), ZZ) assert hash(DMF(([[1, 2], [3]], [[1]]), ZZ)) == hash(DMF(([[long(1), long(2)], [long(3)]], [[long(1)]]), ZZ)) assert ANP([1, 1], [1, 0, 1], ZZ) == ANP([long(1), long(1)], [long(1), long(0), long(1)], ZZ) assert hash( ANP([1, 1], [1, 0, 1], ZZ)) == hash(ANP([long(1), long(1)], [long(1), long(0), long(1)], ZZ))
def test_factorint(): assert primefactors(123456) == [2, 3, 643] assert factorint(0) == {0: 1} assert factorint(1) == {} assert factorint(-1) == {-1: 1} assert factorint(-2) == {-1: 1, 2: 1} assert factorint(-16) == {-1: 1, 2: 4} assert factorint(2) == {2: 1} assert factorint(126) == {2: 1, 3: 2, 7: 1} assert factorint(123456) == {2: 6, 3: 1, 643: 1} assert factorint(5951757) == {3: 1, 7: 1, 29: 2, 337: 1} assert factorint(64015937) == {7993: 1, 8009: 1} assert factorint(2**(2**6) + 1) == {274177: 1, 67280421310721: 1} assert multiproduct(factorint(fac(200))) == fac(200) for b, e in factorint(fac(150)).items(): assert e == fac_multiplicity(150, b) assert factorint(103005006059**7) == {103005006059: 7} assert factorint(31337**191) == {31337: 191} assert factorint(2**1000 * 3**500 * 257**127 * 383**60) == \ {2: 1000, 3: 500, 257: 127, 383: 60} assert len(factorint(fac(10000))) == 1229 assert factorint(12932983746293756928584532764589230) == \ {2: 1, 5: 1, 73: 1, 727719592270351: 1, 63564265087747: 1, 383: 1} assert factorint(727719592270351) == {727719592270351: 1} assert factorint(2**64 + 1, use_trial=False) == factorint(2**64 + 1) for n in range(60000): assert multiproduct(factorint(n)) == n assert pollard_rho(2**64 + 1, seed=1) == 274177 assert pollard_rho(19, seed=1) is None assert factorint(3, limit=2) == {3: 1} assert factorint(12345) == {3: 1, 5: 1, 823: 1} assert factorint( 12345, limit=3) == {4115: 1, 3: 1} # the 5 is greater than the limit assert factorint(1, limit=1) == {} assert factorint(0, 3) == {0: 1} assert factorint(12, limit=1) == {12: 1} assert factorint(30, limit=2) == {2: 1, 15: 1} assert factorint(16, limit=2) == {2: 4} assert factorint(124, limit=3) == {2: 2, 31: 1} assert factorint(4*31**2, limit=3) == {2: 2, 31: 2} p1 = nextprime(2**32) p2 = nextprime(2**16) p3 = nextprime(p2) assert factorint(p1*p2*p3) == {p1: 1, p2: 1, p3: 1} assert factorint(13*17*19, limit=15) == {13: 1, 17*19: 1} assert factorint(1951*15013*15053, limit=2000) == {225990689: 1, 1951: 1} assert factorint(primorial(17) + 1, use_pm1=0) == \ {long(19026377261): 1, 3467: 1, 277: 1, 105229: 1} # when prime b is closer than approx sqrt(8*p) to prime p then they are # "close" and have a trivial factorization a = nextprime(2**2**8) # 78 digits b = nextprime(a + 2**2**4) assert 'Fermat' in capture(lambda: factorint(a*b, verbose=1)) raises(ValueError, lambda: pollard_rho(4)) raises(ValueError, lambda: pollard_pm1(3)) raises(ValueError, lambda: pollard_pm1(10, B=2)) # verbose coverage n = nextprime(2**16)*nextprime(2**17)*nextprime(1901) assert 'with primes' in capture(lambda: factorint(n, verbose=1)) capture(lambda: factorint(nextprime(2**16)*1012, verbose=1)) n = nextprime(2**17) capture(lambda: factorint(n**3, verbose=1)) # perfect power termination capture(lambda: factorint(2*n, verbose=1)) # factoring complete msg # exceed 1st n = nextprime(2**17) n *= nextprime(n) assert '1000' in capture(lambda: factorint(n, limit=1000, verbose=1)) n *= nextprime(n) assert len(factorint(n)) == 3 assert len(factorint(n, limit=p1)) == 3 n *= nextprime(2*n) # exceed 2nd assert '2001' in capture(lambda: factorint(n, limit=2000, verbose=1)) assert capture( lambda: factorint(n, limit=4000, verbose=1)).count('Pollard') == 2 # non-prime pm1 result n = nextprime(8069) n *= nextprime(2*n)*nextprime(2*n, 2) capture(lambda: factorint(n, verbose=1)) # non-prime pm1 result # factor fermat composite p1 = nextprime(2**17) p2 = nextprime(2*p1) assert factorint((p1*p2**2)**3) == {p1: 3, p2: 6} # Test for non integer input raises(ValueError, lambda: factorint(4.5))
def test_Float(): def eq(a, b): t = Float("1.0E-15") return (-t < a - b < t) a = Float(2) ** Float(3) assert eq(a.evalf(), Float(8)) assert eq((pi ** -1).evalf(), Float("0.31830988618379067")) a = Float(2) ** Float(4) assert eq(a.evalf(), Float(16)) assert (S(.3) == S(.5)) is False x_str = Float((0, '13333333333333', -52, 53)) x2_str = Float((0, '26666666666666', -53, 53)) x_hex = Float((0, long(0x13333333333333), -52, 53)) x_dec = Float((0, 5404319552844595, -52, 53)) x2_hex = Float((0, long(0x13333333333333)*2, -53, 53)) assert x_str == x_hex == x_dec == x2_hex == Float(1.2) # x2_str and 1.2 are superficially the same assert str(x2_str) == str(Float(1.2)) # but are different at the mpf level assert Float(1.2)._mpf_ == (0, long(5404319552844595), -52, 53) assert x2_str._mpf_ == (0, long(10808639105689190), -53, 53) assert Float((0, long(0), -123, -1)) == Float('nan') assert Float((0, long(0), -456, -2)) == Float('inf') == Float('+inf') assert Float((1, long(0), -789, -3)) == Float('-inf') raises(ValueError, lambda: Float((0, 7, 1, 3), '')) assert Float('+inf').is_bounded is False assert Float('+inf').is_negative is False assert Float('+inf').is_positive is True assert Float('+inf').is_unbounded is True assert Float('+inf').is_zero is False assert Float('-inf').is_bounded is False assert Float('-inf').is_negative is True assert Float('-inf').is_positive is False assert Float('-inf').is_unbounded is True assert Float('-inf').is_zero is False assert Float('0.0').is_bounded is True assert Float('0.0').is_negative is False assert Float('0.0').is_positive is False assert Float('0.0').is_unbounded is False assert Float('0.0').is_zero is True # rationality properties assert Float(1).is_rational is None assert Float(1).is_irrational is None assert sqrt(2).n(15).is_rational is None assert sqrt(2).n(15).is_irrational is None # do not automatically evalf def teq(a): assert (a.evalf() == a) is False assert (a.evalf() != a) is True assert (a == a.evalf()) is False assert (a != a.evalf()) is True teq(pi) teq(2*pi) teq(cos(0.1, evaluate=False)) i = 12345678901234567890 assert _aresame(Float(12, ''), Float('12', '')) assert _aresame(Float(Integer(i), ''), Float(i, '')) assert _aresame(Float(i, ''), Float(str(i), 20)) assert not _aresame(Float(str(i)), Float(i, '')) # inexact floats (repeating binary = denom not multiple of 2) # cannot have precision greater than 15 assert Float(.125, 22) == .125 assert Float(2.0, 22) == 2 assert float(Float('.12500000000000001', '')) == .125 raises(ValueError, lambda: Float(.12500000000000001, '')) # allow spaces Float('123 456.123 456') == Float('123456.123456') Integer('123 456') == Integer('123456') Rational('123 456.123 456') == Rational('123456.123456') assert Float(' .3e2') == Float('0.3e2') # allow auto precision detection assert Float('.1', '') == Float(.1, 1) assert Float('.125', '') == Float(.125, 3) assert Float('.100', '') == Float(.1, 3) assert Float('2.0', '') == Float('2', 2) raises(ValueError, lambda: Float("12.3d-4", "")) raises(ValueError, lambda: Float(12.3, "")) raises(ValueError, lambda: Float('.')) raises(ValueError, lambda: Float('-.')) zero = Float('0.0') assert Float('-0') == zero assert Float('.0') == zero assert Float('-.0') == zero assert Float('-0.0') == zero assert Float(0.0) == zero assert Float(0) == zero assert Float(0, '') == Float('0', '') assert Float(1) == Float(1.0) assert Float(S.Zero) == zero assert Float(S.One) == Float(1.0) assert Float(decimal.Decimal('0.1'), 3) == Float('.1', 3) assert '{0:.3f}'.format(Float(4.236622)) == '4.237' assert '{0:.35f}'.format(Float(pi.n(40), 40)) == '3.14159265358979323846264338327950288'
def test_ndim_array_initiation(): arr_with_one_element = MutableDenseNDimArray([23]) assert len(arr_with_one_element) == 1 assert arr_with_one_element[0] == 23 assert arr_with_one_element.rank() == 1 raises(ValueError, lambda: arr_with_one_element[1]) arr_with_symbol_element = MutableDenseNDimArray([Symbol('x')]) assert len(arr_with_symbol_element) == 1 assert arr_with_symbol_element[0] == Symbol('x') assert arr_with_symbol_element.rank() == 1 number5 = 5 vector = MutableDenseNDimArray.zeros(number5) assert len(vector) == number5 assert vector.shape == (number5, ) assert vector.rank() == 1 raises(ValueError, lambda: arr_with_one_element[5]) vector = MutableSparseNDimArray.zeros(number5) assert len(vector) == number5 assert vector.shape == (number5, ) assert vector._sparse_array == {} assert vector.rank() == 1 n_dim_array = MutableDenseNDimArray(range(3**4), ( 3, 3, 3, 3, )) assert len(n_dim_array) == 3 * 3 * 3 * 3 assert n_dim_array.shape == (3, 3, 3, 3) assert n_dim_array.rank() == 4 raises(ValueError, lambda: n_dim_array[0, 0, 0, 3]) raises(ValueError, lambda: n_dim_array[3, 0, 0, 0]) raises(ValueError, lambda: n_dim_array[3**4]) array_shape = (3, 3, 3, 3) sparse_array = MutableSparseNDimArray.zeros(*array_shape) assert len(sparse_array._sparse_array) == 0 assert len(sparse_array) == 3 * 3 * 3 * 3 assert n_dim_array.shape == array_shape assert n_dim_array.rank() == 4 one_dim_array = MutableDenseNDimArray([2, 3, 1]) assert len(one_dim_array) == 3 assert one_dim_array.shape == (3, ) assert one_dim_array.rank() == 1 assert one_dim_array.tolist() == [2, 3, 1] shape = (3, 3) array_with_many_args = MutableSparseNDimArray.zeros(*shape) assert len(array_with_many_args) == 3 * 3 assert array_with_many_args.shape == shape assert array_with_many_args[0, 0] == 0 assert array_with_many_args.rank() == 2 shape = (long(3), long(3)) array_with_long_shape = MutableSparseNDimArray.zeros(*shape) assert len(array_with_long_shape) == 3 * 3 assert array_with_long_shape.shape == shape assert array_with_long_shape[long(0), long(0)] == 0 assert array_with_long_shape.rank() == 2 vector_with_long_shape = MutableDenseNDimArray(range(5), long(5)) assert len(vector_with_long_shape) == 5 assert vector_with_long_shape.shape == (long(5), ) assert vector_with_long_shape.rank() == 1 raises(ValueError, lambda: vector_with_long_shape[long(5)])