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import os
import tempfile
import unittest
from Cython.Shadow import inline
from Cython.Build.Inline import safe_type, cymeit
from Cython.TestUtils import CythonTest
try:
import numpy
has_numpy = True
except:
has_numpy = False
test_kwds = dict(force=True, quiet=True)
global_value = 100
class TestInline(CythonTest):
def setUp(self):
CythonTest.setUp(self)
self._call_kwds = dict(test_kwds)
if os.path.isdir('TEST_TMP'):
lib_dir = os.path.join('TEST_TMP','inline')
else:
lib_dir = tempfile.mkdtemp(prefix='cython_inline_')
self._call_kwds['lib_dir'] = lib_dir
def test_simple(self):
self.assertEqual(inline("return 1+2", **self._call_kwds), 3)
def test_types(self):
self.assertEqual(inline("""
cimport cython
return cython.typeof(a), cython.typeof(b)
""", a=1.0, b=[], **self._call_kwds), ('double', 'list object'))
def test_locals(self):
a = 1
b = 2
self.assertEqual(inline("return a+b", **self._call_kwds), 3)
def test_globals(self):
self.assertEqual(inline("return global_value + 1", **self._call_kwds), global_value + 1)
def test_no_return(self):
self.assertEqual(inline("""
a = 1
cdef double b = 2
cdef c = []
""", **self._call_kwds), dict(a=1, b=2.0, c=[]))
def test_def_node(self):
foo = inline("def foo(x): return x * x", **self._call_kwds)['foo']
self.assertEqual(foo(7), 49)
def test_class_ref(self):
class Type:
pass
tp = inline("Type")['Type']
self.assertEqual(tp, Type)
def test_pure(self):
import cython as cy
b = inline("""
b = cy.declare(float, a)
c = cy.declare(cy.pointer(cy.float), &b)
return b
""", a=3, **self._call_kwds)
self.assertEqual(type(b), float)
def test_compiler_directives(self):
self.assertEqual(
inline('return sum(x)',
x=[1, 2, 3],
cython_compiler_directives={'boundscheck': False}),
6
)
def test_lang_version(self):
# GH-3419. Caching for inline code didn't always respect compiler directives.
inline_divcode = "def f(int a, int b): return a/b"
self.assertEqual(
inline(inline_divcode, language_level=2)['f'](5,2),
2
)
self.assertEqual(
inline(inline_divcode, language_level=3)['f'](5,2),
2.5
)
self.assertEqual(
inline(inline_divcode, language_level=2)['f'](5,2),
2
)
def test_repeated_use(self):
inline_mulcode = "def f(int a, int b): return a * b"
self.assertEqual(inline(inline_mulcode)['f'](5, 2), 10)
self.assertEqual(inline(inline_mulcode)['f'](5, 3), 15)
self.assertEqual(inline(inline_mulcode)['f'](6, 2), 12)
self.assertEqual(inline(inline_mulcode)['f'](5, 2), 10)
f = inline(inline_mulcode)['f']
self.assertEqual(f(5, 2), 10)
self.assertEqual(f(5, 3), 15)
@unittest.skipIf(not has_numpy, "NumPy is not available")
def test_numpy(self):
import numpy
a = numpy.ndarray((10, 20))
a[0,0] = 10
self.assertEqual(safe_type(a), 'numpy.ndarray[numpy.float64_t, ndim=2]')
self.assertEqual(inline("return a[0,0]", a=a, **self._call_kwds), 10.0)
class TestCymeit(unittest.TestCase):
def _run(self, code, setup_code=None, **kwargs):
timings, number = cymeit(code, setup_code=setup_code, **kwargs)
self.assertGreater(min(timings), 0)
# Guard that autoscaling leads to reasonable timings.
# Note: we cannot compare against the expected 0.2 due to large timing variations on CI.
max_time = max(timing * number for timing in timings)
if isinstance(max_time, int):
self.assertGreaterEqual(max_time, 100_000)
else:
self.assertGreaterEqual(max_time, 0.0001)
self.assertGreater(number, 10) # arbitrary lower bound for our very quick benchmarks
return timings
def test_benchmark_simple(self):
setup_code = "numbers = list(range(0, 1000, 3))"
self._run("sum([num for num in numbers])", setup_code, repeat=3)
def test_benchmark_timer(self):
import time
setup_code = "numbers = list(range(0, 1000, 3))"
timings = self._run("sum([num for num in numbers])", setup_code, timer=time.perf_counter, repeat=3)
for timing in timings:
self.assertIsInstance(timing, float)
def test_benchmark_timer_ns(self):
import time
setup_code = "numbers = list(range(0, 1000, 3))"
timings = self._run("sum([num for num in numbers])", setup_code, timer=time.perf_counter_ns, repeat=3)
for timing in timings:
self.assertIsInstance(timing, int)
def test_benchmark_multiline_setup(self):
setup_code = """
numbers = list(range(0, 100, 3))
def csum(numbers):
result = 0
for number in numbers:
result += number
return result
"""
self._run("csum(numbers)", setup_code)
def test_benchmark_multiline_code(self):
setup_code = "numbers = list(range(0, 100, 3))"
self._run("""
sum([
num
for num in numbers
])
""",
setup_code,
repeat=3
)
def test_benchmark_in_module(self):
self._run("fsum(range(100))", import_module='math', repeat=2)
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