Fix floating point imprecision with np.timedelta64

pandas/tests/io/sas/test_sas7bdat.py

@@ -7,7 +7,7 @@
 import numpy as np
 import pytest
 
-from pandas.compat import IS64
+from pandas.compat import IS64, WASM
 from pandas.errors import EmptyDataError
 
 import pandas as pd
@@ -190,7 +190,7 @@ def test_date_time(datapath):
     res = df0["DateTimeHi"].astype("M8[us]").dt.round("ms")
     df0["DateTimeHi"] = res.astype("M8[ms]")
 
-    if not IS64:
+    if (not IS64) or (WASM):
         # No good reason for this, just what we get on the CI
         df0.loc[0, "DateTimeHi"] += np.timedelta64(1, "ms")
         df0.loc[[2, 3], "DateTimeHi"] -= np.timedelta64(1, "ms")
@@ -285,7 +285,7 @@ def test_max_sas_date(datapath):
         columns=["text", "dt_as_float", "dt_as_dt", "date_as_float", "date_as_date"],
     )
 
-    if not IS64:
+    if (not IS64) or (WASM):
         # No good reason for this, just what we get on the CI
         expected.loc[:, "dt_as_dt"] -= np.timedelta64(1, "ms")
 
@@ -328,7 +328,7 @@ def test_max_sas_date_iterator(datapath):
             columns=col_order,
         ),
     ]
-    if not IS64:
+    if (not IS64) or (WASM):
         # No good reason for this, just what we get on the CI
         expected[0].loc[0, "dt_as_dt"] -= np.timedelta64(1, "ms")
         expected[1].loc[0, "dt_as_dt"] -= np.timedelta64(1, "ms")
@@ -359,7 +359,7 @@ def test_null_date(datapath):
             ),
         },
     )
-    if not IS64:
+    if (not IS64) or (WASM):
         # No good reason for this, just what we get on the CI
         expected.loc[0, "datetimecol"] -= np.timedelta64(1, "ms")
     tm.assert_frame_equal(df, expected)