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from sympy.concrete.summations import Sum | |
from sympy.core.expr import Expr | |
from sympy.core.symbol import symbols | |
from sympy.functions.elementary.miscellaneous import sqrt | |
from sympy.functions.elementary.piecewise import Piecewise | |
from sympy.functions.elementary.trigonometric import sin | |
from sympy.matrices.dense import MutableDenseMatrix as Matrix | |
from sympy.sets.sets import Interval | |
from sympy.utilities.lambdify import lambdify | |
from sympy.testing.pytest import raises | |
from sympy.printing.tensorflow import TensorflowPrinter | |
from sympy.printing.lambdarepr import lambdarepr, LambdaPrinter, NumExprPrinter | |
x, y, z = symbols("x,y,z") | |
i, a, b = symbols("i,a,b") | |
j, c, d = symbols("j,c,d") | |
def test_basic(): | |
assert lambdarepr(x*y) == "x*y" | |
assert lambdarepr(x + y) in ["y + x", "x + y"] | |
assert lambdarepr(x**y) == "x**y" | |
def test_matrix(): | |
# Test printing a Matrix that has an element that is printed differently | |
# with the LambdaPrinter than with the StrPrinter. | |
e = x % 2 | |
assert lambdarepr(e) != str(e) | |
assert lambdarepr(Matrix([e])) == 'ImmutableDenseMatrix([[x % 2]])' | |
def test_piecewise(): | |
# In each case, test eval() the lambdarepr() to make sure there are a | |
# correct number of parentheses. It will give a SyntaxError if there aren't. | |
h = "lambda x: " | |
p = Piecewise((x, x < 0)) | |
l = lambdarepr(p) | |
eval(h + l) | |
assert l == "((x) if (x < 0) else None)" | |
p = Piecewise( | |
(1, x < 1), | |
(2, x < 2), | |
(0, True) | |
) | |
l = lambdarepr(p) | |
eval(h + l) | |
assert l == "((1) if (x < 1) else (2) if (x < 2) else (0))" | |
p = Piecewise( | |
(1, x < 1), | |
(2, x < 2), | |
) | |
l = lambdarepr(p) | |
eval(h + l) | |
assert l == "((1) if (x < 1) else (2) if (x < 2) else None)" | |
p = Piecewise( | |
(x, x < 1), | |
(x**2, Interval(3, 4, True, False).contains(x)), | |
(0, True), | |
) | |
l = lambdarepr(p) | |
eval(h + l) | |
assert l == "((x) if (x < 1) else (x**2) if (((x <= 4)) and ((x > 3))) else (0))" | |
p = Piecewise( | |
(x**2, x < 0), | |
(x, x < 1), | |
(2 - x, x >= 1), | |
(0, True), evaluate=False | |
) | |
l = lambdarepr(p) | |
eval(h + l) | |
assert l == "((x**2) if (x < 0) else (x) if (x < 1)"\ | |
" else (2 - x) if (x >= 1) else (0))" | |
p = Piecewise( | |
(x**2, x < 0), | |
(x, x < 1), | |
(2 - x, x >= 1), evaluate=False | |
) | |
l = lambdarepr(p) | |
eval(h + l) | |
assert l == "((x**2) if (x < 0) else (x) if (x < 1)"\ | |
" else (2 - x) if (x >= 1) else None)" | |
p = Piecewise( | |
(1, x >= 1), | |
(2, x >= 2), | |
(3, x >= 3), | |
(4, x >= 4), | |
(5, x >= 5), | |
(6, True) | |
) | |
l = lambdarepr(p) | |
eval(h + l) | |
assert l == "((1) if (x >= 1) else (2) if (x >= 2) else (3) if (x >= 3)"\ | |
" else (4) if (x >= 4) else (5) if (x >= 5) else (6))" | |
p = Piecewise( | |
(1, x <= 1), | |
(2, x <= 2), | |
(3, x <= 3), | |
(4, x <= 4), | |
(5, x <= 5), | |
(6, True) | |
) | |
l = lambdarepr(p) | |
eval(h + l) | |
assert l == "((1) if (x <= 1) else (2) if (x <= 2) else (3) if (x <= 3)"\ | |
" else (4) if (x <= 4) else (5) if (x <= 5) else (6))" | |
p = Piecewise( | |
(1, x > 1), | |
(2, x > 2), | |
(3, x > 3), | |
(4, x > 4), | |
(5, x > 5), | |
(6, True) | |
) | |
l = lambdarepr(p) | |
eval(h + l) | |
assert l =="((1) if (x > 1) else (2) if (x > 2) else (3) if (x > 3)"\ | |
" else (4) if (x > 4) else (5) if (x > 5) else (6))" | |
p = Piecewise( | |
(1, x < 1), | |
(2, x < 2), | |
(3, x < 3), | |
(4, x < 4), | |
(5, x < 5), | |
(6, True) | |
) | |
l = lambdarepr(p) | |
eval(h + l) | |
assert l == "((1) if (x < 1) else (2) if (x < 2) else (3) if (x < 3)"\ | |
" else (4) if (x < 4) else (5) if (x < 5) else (6))" | |
p = Piecewise( | |
(Piecewise( | |
(1, x > 0), | |
(2, True) | |
), y > 0), | |
(3, True) | |
) | |
l = lambdarepr(p) | |
eval(h + l) | |
assert l == "((((1) if (x > 0) else (2))) if (y > 0) else (3))" | |
def test_sum__1(): | |
# In each case, test eval() the lambdarepr() to make sure that | |
# it evaluates to the same results as the symbolic expression | |
s = Sum(x ** i, (i, a, b)) | |
l = lambdarepr(s) | |
assert l == "(builtins.sum(x**i for i in range(a, b+1)))" | |
args = x, a, b | |
f = lambdify(args, s) | |
v = 2, 3, 8 | |
assert f(*v) == s.subs(zip(args, v)).doit() | |
def test_sum__2(): | |
s = Sum(i * x, (i, a, b)) | |
l = lambdarepr(s) | |
assert l == "(builtins.sum(i*x for i in range(a, b+1)))" | |
args = x, a, b | |
f = lambdify(args, s) | |
v = 2, 3, 8 | |
assert f(*v) == s.subs(zip(args, v)).doit() | |
def test_multiple_sums(): | |
s = Sum(i * x + j, (i, a, b), (j, c, d)) | |
l = lambdarepr(s) | |
assert l == "(builtins.sum(i*x + j for i in range(a, b+1) for j in range(c, d+1)))" | |
args = x, a, b, c, d | |
f = lambdify(args, s) | |
vals = 2, 3, 4, 5, 6 | |
f_ref = s.subs(zip(args, vals)).doit() | |
f_res = f(*vals) | |
assert f_res == f_ref | |
def test_sqrt(): | |
prntr = LambdaPrinter({'standard' : 'python3'}) | |
assert prntr._print_Pow(sqrt(x), rational=False) == 'sqrt(x)' | |
assert prntr._print_Pow(sqrt(x), rational=True) == 'x**(1/2)' | |
def test_settings(): | |
raises(TypeError, lambda: lambdarepr(sin(x), method="garbage")) | |
def test_numexpr(): | |
# test ITE rewrite as Piecewise | |
from sympy.logic.boolalg import ITE | |
expr = ITE(x > 0, True, False, evaluate=False) | |
assert NumExprPrinter().doprint(expr) == \ | |
"numexpr.evaluate('where((x > 0), True, False)', truediv=True)" | |
from sympy.codegen.ast import Return, FunctionDefinition, Variable, Assignment | |
func_def = FunctionDefinition(None, 'foo', [Variable(x)], [Assignment(y,x), Return(y**2)]) | |
expected = "def foo(x):\n"\ | |
" y = numexpr.evaluate('x', truediv=True)\n"\ | |
" return numexpr.evaluate('y**2', truediv=True)" | |
assert NumExprPrinter().doprint(func_def) == expected | |
class CustomPrintedObject(Expr): | |
def _lambdacode(self, printer): | |
return 'lambda' | |
def _tensorflowcode(self, printer): | |
return 'tensorflow' | |
def _numpycode(self, printer): | |
return 'numpy' | |
def _numexprcode(self, printer): | |
return 'numexpr' | |
def _mpmathcode(self, printer): | |
return 'mpmath' | |
def test_printmethod(): | |
# In each case, printmethod is called to test | |
# its working | |
obj = CustomPrintedObject() | |
assert LambdaPrinter().doprint(obj) == 'lambda' | |
assert TensorflowPrinter().doprint(obj) == 'tensorflow' | |
assert NumExprPrinter().doprint(obj) == "numexpr.evaluate('numexpr', truediv=True)" | |
assert NumExprPrinter().doprint(Piecewise((y, x >= 0), (z, x < 0))) == \ | |
"numexpr.evaluate('where((x >= 0), y, z)', truediv=True)" | |