Reduce difficulty of hitting target in that test

HypothesisWorks · Dec 15, 2019 · c8c5bbb · c8c5bbb
1 parent 8e9da46
commit c8c5bbb
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Showing 3 changed files with 8 additions and 15 deletions.
diff --git a/hypothesis-python/src/hypothesis/internal/conjecture/engine.py b/hypothesis-python/src/hypothesis/internal/conjecture/engine.py
@@ -708,7 +708,7 @@ def should_generate_more():
                             # entering parts of the tree we consider redundant
                             # and not worth exploring.
                             error_on_discard=True,
-                            extend=BUFFER_SIZE
+                            extend=BUFFER_SIZE,
                         )
                     except ContainsDiscard:
                         failed_mutations += 1
@@ -718,7 +718,8 @@ def should_generate_more():
                         new_data.status >= data.status
                         and data.buffer != new_data.buffer
                         and all(
-                            k in new_data.target_observations and new_data.target_observations[k] >= v
+                            k in new_data.target_observations
+                            and new_data.target_observations[k] >= v
                             for k, v in data.target_observations.items()
                         )
                     ):

diff --git a/hypothesis-python/src/hypothesis/internal/conjecture/optimiser.py b/hypothesis-python/src/hypothesis/internal/conjecture/optimiser.py
@@ -17,12 +17,8 @@
 
 from __future__ import absolute_import, division, print_function
 
-from hypothesis.internal.conjecture.data import ConjectureData, Status
-from hypothesis.internal.conjecture.datatree import PreviouslyUnseenBehaviour
-from hypothesis.internal.conjecture.engine import (
-    BUFFER_SIZE,
-    NO_SCORE,
-)
+from hypothesis.internal.conjecture.data import Status
+from hypothesis.internal.conjecture.engine import BUFFER_SIZE, NO_SCORE
 
 
 class Optimiser(object):
@@ -129,9 +125,7 @@ def do_hill_climbing(self, select_example):
             # further.
             and self.current_data.status <= Status.VALID
         ):
-            if self.attempt_to_improve(
-                example_index=select_example(self.current_data)
-            ):
+            if self.attempt_to_improve(example_index=select_example(self.current_data)):
                 # If we succeeed at improving the score then we no longer have
                 # any evidence that we're at a local maximum so we reset the
                 # count.
@@ -151,9 +145,7 @@ def attempt_to_improve(self, example_index):
         prefix_size = ex.start
         prefix = data.buffer[:prefix_size]
 
-        attempt = self.engine.cached_test_function(
-            prefix, extend=BUFFER_SIZE,
-        )
+        attempt = self.engine.cached_test_function(prefix, extend=BUFFER_SIZE,)
 
         if self.consider_new_test_data(attempt):
             return True

diff --git a/hypothesis-python/tests/cover/test_targeting.py b/hypothesis-python/tests/cover/test_targeting.py
@@ -135,7 +135,7 @@ def test_targeting_increases_max_length():
     @given(strat)
     def test_with_targeting(ls):
         target(float(len(ls)))
-        assert len(ls) <= 100
+        assert len(ls) <= 80
 
     with pytest.raises(AssertionError):
         test_with_targeting()