67 lines
1.7 KiB
Python
67 lines
1.7 KiB
Python
import sys
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import numpy as np
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from numba import njit
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from numba.tests.support import TestCase
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@njit(parallel=True, cache=True)
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def arrayexprs_case(arr):
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return arr / arr.sum()
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@njit(parallel=True, cache=True)
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def prange_case(arr):
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out = np.zeros_like(arr)
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c = 1 / arr.sum()
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for i in range(arr.size):
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out[i] = arr[i] * c
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return out
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@njit(cache=True)
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def caller_case(arr):
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return prange_case(arrayexprs_case(arr))
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class _TestModule(TestCase):
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"""
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Tests for functionality of this module's functions.
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Note this does not define any "test_*" method, instead check_module()
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should be called by hand.
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"""
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def check_module(self, mod):
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total_cache_hits = 0
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for fn in [mod.arrayexprs_case, mod.prange_case, mod.caller_case]:
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arr = np.ones(20)
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np.testing.assert_allclose(
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fn(arr), fn.py_func(arr),
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)
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# Accumulate cache hits
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total_cache_hits += len(fn.stats.cache_hits)
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self.assertGreater(
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total_cache_hits, 0,
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msg="At least one dispatcher has used the cache",
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)
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def run_module(self, mod):
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# This just executes the module's functionality without asserting
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# anything about the cache, it's used in tests that ensure that
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# properties such as thread count aren't baked in to the cached object.
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for fn in [mod.arrayexprs_case, mod.prange_case, mod.caller_case]:
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arr = np.ones(20)
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np.testing.assert_allclose(
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fn(arr), fn.py_func(arr),
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)
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def self_test():
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mod = sys.modules[__name__]
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_TestModule().check_module(mod)
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def self_run():
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mod = sys.modules[__name__]
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_TestModule().run_module(mod)
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