Add another failure repro decorator

Author: honnibal

tests/test_dotv.py

@@ -1,5 +1,5 @@
 from __future__ import division
-from hypothesis import given, assume
+from hypothesis import given, assume, reproduce_failure
 from math import sqrt, floor
 
 from blis_tests_common import *
@@ -8,34 +8,36 @@
 
 
 @given(
-    ndarrays(min_len=10, max_len=100,
-             min_val=-100.0, max_val=100.0, dtype='float64'),
-    ndarrays(min_len=10, max_len=100,
-             min_val=-100.0, max_val=100.0, dtype='float64'),
+    ndarrays(min_len=10, max_len=100, min_val=-100.0, max_val=100.0, dtype="float64"),
+    ndarrays(min_len=10, max_len=100, min_val=-100.0, max_val=100.0, dtype="float64"),
 )
 def test_memoryview_double_noconj(A, B):
     if len(A) < len(B):
-        B = B[:len(A)]
+        B = B[: len(A)]
     else:
-        A = A[:len(B)]
+        A = A[: len(B)]
     assume(A is not None)
     assume(B is not None)
     numpy_result = A.dot(B)
     result = dotv(A, B)
     assert_allclose([numpy_result], result, atol=1e-3, rtol=1e-3)
 
 
+@reproduce_failure(
+    "6.103.5", b"AXicY2AAggaXUAauVetzGBiBHMYGBjBgZATyGCFshhRGJgY4SGFkBmmCKmNAAgAMFQS/"
+)
+@reproduce_failure(
+    "6.103.5", b"AXicE2NAAGsxRiDJCOUpMzIipJQZWYDkQY6POYVSFz8h6WEAAGinBSs="
+)
 @given(
-    ndarrays(min_len=10, max_len=100,
-             min_val=-100.0, max_val=100.0, dtype='float32'),
-    ndarrays(min_len=10, max_len=100,
-             min_val=-100.0, max_val=100.0, dtype='float32'),
+    ndarrays(min_len=10, max_len=100, min_val=-100.0, max_val=100.0, dtype="float32"),
+    ndarrays(min_len=10, max_len=100, min_val=-100.0, max_val=100.0, dtype="float32"),
 )
 def test_memoryview_float_noconj(A, B):
     if len(A) < len(B):
-        B = B[:len(A)]
+        B = B[: len(A)]
     else:
-        A = A[:len(B)]
+        A = A[: len(B)]
     assume(A is not None)
     assume(B is not None)
     numpy_result = A.dot(B)