Download venv/lib/python3.10/site-packages/Cython/Build/Tests/TestInline.py from Matt300209/eval_venv: direct link, hf CLI and curl.
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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) | |
| 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) | |