Add second attempt for assertion

Author: NimaSarajpoor

tests/test_precision.py

@@ -1,4 +1,5 @@
 import functools
+import importlib
 from unittest.mock import patch
 
 import naive
@@ -8,7 +9,7 @@
 from numba import cuda
 
 import stumpy
-from stumpy import config, core
+from stumpy import cache, config, core
 
 try:
     from numba.errors import NumbaPerformanceWarning
@@ -146,20 +147,67 @@ def test_snippets():
         cmp_regimes,
     ) = stumpy.snippets(T, m, k, s=s, mpdist_T_subseq_isconstant=isconstant_custom_func)
 
-    npt.assert_almost_equal(
-        ref_snippets, cmp_snippets, decimal=config.STUMPY_TEST_PRECISION
-    )
-    npt.assert_almost_equal(
-        ref_indices, cmp_indices, decimal=config.STUMPY_TEST_PRECISION
-    )
-    npt.assert_almost_equal(
-        ref_profiles, cmp_profiles, decimal=config.STUMPY_TEST_PRECISION
-    )
-    npt.assert_almost_equal(
-        ref_fractions, cmp_fractions, decimal=config.STUMPY_TEST_PRECISION
-    )
-    npt.assert_almost_equal(ref_areas, cmp_areas, decimal=config.STUMPY_TEST_PRECISION)
-    npt.assert_almost_equal(ref_regimes, cmp_regimes)
+    # Revise fastmath flag, recompile, and re-calculate snippets,
+    # and then revert the changes
+    config.STUMPY_FASTMATH_FLAGS = {"nsz", "arcp", "contract", "afn"}
+    core._calculate_squared_distance.targetoptions["fastmath"] = config.STUMPY_FASTMATH_FLAGS
+    njit_funcs = cache.get_njit_funcs()
+    for module_name, func_name in njit_funcs:
+        code = f"from stumpy.{module_name} import {func_name}; {func_name}.recompile()"
+        exec(code)
+        # module = importlib.import_module(f".{module_name}", package="stumpy")
+        # func = getattr(module, func_name)
+        # func.recompile()
+
+    (
+        cmp_snippets_NOreassoc,
+        cmp_indices_NOreassoc,
+        cmp_profiles_NOreassoc,
+        cmp_fractions_NOreassoc,
+        cmp_areas_NOreassoc,
+        cmp_regimes_NOreassoc,
+    ) = stumpy.snippets(T, m, k, s=s, mpdist_T_subseq_isconstant=isconstant_custom_func)
+
+    config._reset("STUMPY_FASTMATH_FLAGS")
+    for module_name, func_name in njit_funcs:
+        module = importlib.import_module(f".{module_name}", package="stumpy")
+        func = getattr(module, func_name)
+        func.recompile()
+
+    if np.allclose(ref_snippets, cmp_snippets):
+        npt.assert_almost_equal(
+            ref_snippets, cmp_snippets, decimal=config.STUMPY_TEST_PRECISION
+        )
+        npt.assert_almost_equal(
+            ref_indices, cmp_indices, decimal=config.STUMPY_TEST_PRECISION
+        )
+        npt.assert_almost_equal(
+            ref_profiles, cmp_profiles, decimal=config.STUMPY_TEST_PRECISION
+        )
+        npt.assert_almost_equal(
+            ref_fractions, cmp_fractions, decimal=config.STUMPY_TEST_PRECISION
+        )
+        npt.assert_almost_equal(
+            ref_areas, cmp_areas, decimal=config.STUMPY_TEST_PRECISION
+        )
+        npt.assert_almost_equal(ref_regimes, cmp_regimes)
+    else:
+        npt.assert_almost_equal(
+            ref_snippets, cmp_snippets_NOreassoc, decimal=config.STUMPY_TEST_PRECISION
+        )
+        npt.assert_almost_equal(
+            ref_indices, cmp_indices_NOreassoc, decimal=config.STUMPY_TEST_PRECISION
+        )
+        npt.assert_almost_equal(
+            ref_profiles, cmp_profiles_NOreassoc, decimal=config.STUMPY_TEST_PRECISION
+        )
+        npt.assert_almost_equal(
+            ref_fractions, cmp_fractions_NOreassoc, decimal=config.STUMPY_TEST_PRECISION
+        )
+        npt.assert_almost_equal(
+            ref_areas, cmp_areas_NOreassoc, decimal=config.STUMPY_TEST_PRECISION
+        )
+        npt.assert_almost_equal(ref_regimes, cmp_regimes_NOreassoc)
 
 
 @pytest.mark.filterwarnings("ignore", category=NumbaPerformanceWarning)