497 lines
13 KiB
Python
497 lines
13 KiB
Python
# import numpy in two ways, both uses needed
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import numpy as np
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import numpy
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import unittest
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from numba import njit, jit
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from numba.core.errors import TypingError, UnsupportedError
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from numba.core import ir
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from numba.tests.support import TestCase, IRPreservingTestPipeline
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class TestClosure(TestCase):
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def run_jit_closure_variable(self, **jitargs):
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Y = 10
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def add_Y(x):
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return x + Y
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c_add_Y = jit('i4(i4)', **jitargs)(add_Y)
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self.assertEqual(c_add_Y(1), 11)
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# Like globals in Numba, the value of the closure is captured
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# at time of JIT
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Y = 12 # should not affect function
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self.assertEqual(c_add_Y(1), 11)
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def test_jit_closure_variable(self):
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self.run_jit_closure_variable(forceobj=True)
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def test_jit_closure_variable_npm(self):
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self.run_jit_closure_variable(nopython=True)
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def run_rejitting_closure(self, **jitargs):
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Y = 10
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def add_Y(x):
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return x + Y
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c_add_Y = jit('i4(i4)', **jitargs)(add_Y)
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self.assertEqual(c_add_Y(1), 11)
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# Redo the jit
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Y = 12
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c_add_Y_2 = jit('i4(i4)', **jitargs)(add_Y)
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self.assertEqual(c_add_Y_2(1), 13)
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Y = 13 # should not affect function
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self.assertEqual(c_add_Y_2(1), 13)
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self.assertEqual(c_add_Y(1), 11) # Test first function again
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def test_rejitting_closure(self):
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self.run_rejitting_closure(forceobj=True)
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def test_rejitting_closure_npm(self):
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self.run_rejitting_closure(nopython=True)
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def run_jit_multiple_closure_variables(self, **jitargs):
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Y = 10
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Z = 2
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def add_Y_mult_Z(x):
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return (x + Y) * Z
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c_add_Y_mult_Z = jit('i4(i4)', **jitargs)(add_Y_mult_Z)
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self.assertEqual(c_add_Y_mult_Z(1), 22)
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def test_jit_multiple_closure_variables(self):
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self.run_jit_multiple_closure_variables(forceobj=True)
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def test_jit_multiple_closure_variables_npm(self):
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self.run_jit_multiple_closure_variables(nopython=True)
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def run_jit_inner_function(self, **jitargs):
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def mult_10(a):
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return a * 10
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c_mult_10 = jit('intp(intp)', **jitargs)(mult_10)
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c_mult_10.disable_compile()
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def do_math(x):
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return c_mult_10(x + 4)
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c_do_math = jit('intp(intp)', **jitargs)(do_math)
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c_do_math.disable_compile()
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with self.assertRefCount(c_do_math, c_mult_10):
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self.assertEqual(c_do_math(1), 50)
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def test_jit_inner_function(self):
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self.run_jit_inner_function(forceobj=True)
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def test_jit_inner_function_npm(self):
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self.run_jit_inner_function(nopython=True)
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class TestInlinedClosure(TestCase):
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"""
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Tests for (partial) closure support in njit. The support is partial
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because it only works for closures that can be successfully inlined
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at compile time.
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"""
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def test_inner_function(self):
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def outer(x):
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def inner(x):
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return x * x
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return inner(x) + inner(x)
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cfunc = njit(outer)
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self.assertEqual(cfunc(10), outer(10))
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def test_inner_function_with_closure(self):
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def outer(x):
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y = x + 1
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def inner(x):
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return x * x + y
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return inner(x) + inner(x)
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cfunc = njit(outer)
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self.assertEqual(cfunc(10), outer(10))
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def test_inner_function_with_closure_2(self):
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def outer(x):
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y = x + 1
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def inner(x):
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return x * y
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y = inner(x)
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return y + inner(x)
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cfunc = njit(outer)
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self.assertEqual(cfunc(10), outer(10))
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def test_inner_function_with_closure_3(self):
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code = """
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def outer(x):
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y = x + 1
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z = 0
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def inner(x):
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nonlocal z
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z += x * x
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return z + y
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return inner(x) + inner(x) + z
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"""
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ns = {}
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exec(code.strip(), ns)
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cfunc = njit(ns['outer'])
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self.assertEqual(cfunc(10), ns['outer'](10))
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def test_inner_function_nested(self):
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def outer(x):
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def inner(y):
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def innermost(z):
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return x + y + z
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s = 0
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for i in range(y):
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s += innermost(i)
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return s
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return inner(x * x)
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cfunc = njit(outer)
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self.assertEqual(cfunc(10), outer(10))
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def test_bulk_use_cases(self):
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""" Tests the large number of use cases defined below """
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# jitted function used in some tests
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@njit
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def fib3(n):
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if n < 2:
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return n
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return fib3(n - 1) + fib3(n - 2)
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def outer1(x):
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""" Test calling recursive function from inner """
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def inner(x):
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return fib3(x)
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return inner(x)
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def outer2(x):
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""" Test calling recursive function from closure """
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z = x + 1
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def inner(x):
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return x + fib3(z)
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return inner(x)
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def outer3(x):
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""" Test recursive inner """
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def inner(x):
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if x < 2:
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return 10
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else:
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inner(x - 1)
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return inner(x)
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def outer4(x):
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""" Test recursive closure """
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y = x + 1
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def inner(x):
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if x + y < 2:
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return 10
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else:
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inner(x - 1)
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return inner(x)
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def outer5(x):
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""" Test nested closure """
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y = x + 1
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def inner1(x):
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z = y + x + 2
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def inner2(x):
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return x + z
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return inner2(x) + y
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return inner1(x)
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def outer6(x):
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""" Test closure with list comprehension in body """
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y = x + 1
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def inner1(x):
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z = y + x + 2
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return [t for t in range(z)]
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return inner1(x)
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_OUTER_SCOPE_VAR = 9
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def outer7(x):
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""" Test use of outer scope var, no closure """
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z = x + 1
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return x + z + _OUTER_SCOPE_VAR
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_OUTER_SCOPE_VAR = 9
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def outer8(x):
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""" Test use of outer scope var, with closure """
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z = x + 1
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def inner(x):
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return x + z + _OUTER_SCOPE_VAR
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return inner(x)
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def outer9(x):
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""" Test closure assignment"""
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z = x + 1
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def inner(x):
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return x + z
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f = inner
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return f(x)
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def outer10(x):
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""" Test two inner, one calls other """
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z = x + 1
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def inner(x):
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return x + z
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def inner2(x):
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return inner(x)
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return inner2(x)
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def outer11(x):
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""" return the closure """
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z = x + 1
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def inner(x):
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return x + z
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return inner
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def outer12(x):
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""" closure with kwarg"""
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z = x + 1
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def inner(x, kw=7):
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return x + z + kw
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return inner(x)
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def outer13(x, kw=7):
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""" outer with kwarg no closure"""
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z = x + 1 + kw
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return z
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def outer14(x, kw=7):
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""" outer with kwarg used in closure"""
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z = x + 1
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def inner(x):
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return x + z + kw
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return inner(x)
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def outer15(x, kw=7):
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""" outer with kwarg as arg to closure"""
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z = x + 1
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def inner(x, kw):
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return x + z + kw
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return inner(x, kw)
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def outer16(x):
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""" closure is generator, consumed locally """
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z = x + 1
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def inner(x):
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yield x + z
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return list(inner(x))
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def outer17(x):
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""" closure is generator, returned """
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z = x + 1
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def inner(x):
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yield x + z
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return inner(x)
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def outer18(x):
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""" closure is generator, consumed in loop """
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z = x + 1
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def inner(x):
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yield x + z
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for i in inner(x):
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t = i
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return t
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def outer19(x):
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""" closure as arg to another closure """
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z1 = x + 1
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z2 = x + 2
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def inner(x):
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return x + z1
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def inner2(f, x):
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return f(x) + z2
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return inner2(inner, x)
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def outer20(x):
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""" Test calling numpy in closure """
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z = x + 1
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def inner(x):
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return x + numpy.cos(z)
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return inner(x)
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def outer21(x):
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""" Test calling numpy import as in closure """
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z = x + 1
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def inner(x):
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return x + np.cos(z)
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return inner(x)
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def outer22():
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"""Test to ensure that unsupported *args raises correctly"""
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def bar(a, b):
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pass
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x = 1, 2
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bar(*x)
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# functions to test that are expected to pass
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f = [outer1, outer2, outer5, outer6, outer7, outer8,
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outer9, outer10, outer12, outer13, outer14,
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outer15, outer19, outer20, outer21]
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for ref in f:
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cfunc = njit(ref)
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var = 10
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self.assertEqual(cfunc(var), ref(var))
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# test functions that are expected to fail
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with self.assertRaises(NotImplementedError) as raises:
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cfunc = jit(nopython=True)(outer3)
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cfunc(var)
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msg = "Unsupported use of op_LOAD_CLOSURE encountered"
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self.assertIn(msg, str(raises.exception))
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with self.assertRaises(NotImplementedError) as raises:
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cfunc = jit(nopython=True)(outer4)
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cfunc(var)
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msg = "Unsupported use of op_LOAD_CLOSURE encountered"
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self.assertIn(msg, str(raises.exception))
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with self.assertRaises(TypingError) as raises:
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cfunc = jit(nopython=True)(outer11)
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cfunc(var)
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msg = "Cannot capture the non-constant value"
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self.assertIn(msg, str(raises.exception))
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with self.assertRaises(UnsupportedError) as raises:
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cfunc = jit(nopython=True)(outer16)
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cfunc(var)
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msg = "The use of yield in a closure is unsupported."
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self.assertIn(msg, str(raises.exception))
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with self.assertRaises(UnsupportedError) as raises:
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cfunc = jit(nopython=True)(outer17)
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cfunc(var)
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msg = "The use of yield in a closure is unsupported."
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self.assertIn(msg, str(raises.exception))
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with self.assertRaises(UnsupportedError) as raises:
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cfunc = jit(nopython=True)(outer18)
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cfunc(var)
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msg = "The use of yield in a closure is unsupported."
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self.assertIn(msg, str(raises.exception))
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with self.assertRaises(UnsupportedError) as raises:
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cfunc = jit(nopython=True)(outer22)
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cfunc()
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msg = "Calling a closure with *args is unsupported."
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self.assertIn(msg, str(raises.exception))
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def test_closure_renaming_scheme(self):
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# See #7380, this checks that inlined (from closure) variables have a
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# name derived from the function they were defined in.
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@njit(pipeline_class=IRPreservingTestPipeline)
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def foo(a, b):
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def bar(z):
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x = 5
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y = 10
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return x + y + z
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return bar(a), bar(b)
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self.assertEqual(foo(10, 20), (25, 35))
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# check IR. Look for the `x = 5`... there should be
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# Two lots of `const(int, 5)`, one for each inline
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# The LHS of the assignment will have a name like:
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# closure__locals__bar_v2_x
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# Ensure that this is the case!
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func_ir = foo.overloads[foo.signatures[0]].metadata['preserved_ir']
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store = []
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for blk in func_ir.blocks.values():
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for stmt in blk.body:
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if isinstance(stmt, ir.Assign):
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if isinstance(stmt.value, ir.Const):
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if stmt.value.value == 5:
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store.append(stmt)
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self.assertEqual(len(store), 2)
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for i in store:
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name = i.target.name
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regex = r'closure__locals__bar_v[0-9]+.x'
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self.assertRegex(name, regex)
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def test_issue9222(self):
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# Ensures that float default arguments are handled correctly in
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# closures.
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@njit
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def foo():
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def bar(x, y=1.1):
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return x + y
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return bar
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@njit
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def consume():
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return foo()(4)
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# In Issue #9222, the result was completely wrong - 15 instead of 5.1 -
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# so allclose should be sufficient for comparison here.
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np.testing.assert_allclose(consume(), 4 + 1.1)
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if __name__ == '__main__':
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unittest.main()
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