fixup annotate searchstrategy

src/hypothesis/searchstrategy/lazy.py

@@ -17,7 +17,7 @@
 
 from __future__ import division, print_function, absolute_import
 
-from hypothesis.internal.compat import hrange, getfullargspec
+from hypothesis.internal.compat import getfullargspec
 from hypothesis.internal.reflection import arg_string, \
     convert_keyword_arguments, convert_positional_arguments
 from hypothesis.searchstrategy.strategies import SearchStrategy

src/hypothesis/searchstrategy/strategies.py

@@ -20,19 +20,17 @@
 from collections import defaultdict
 
 import hypothesis.internal.conjecture.utils as cu
-
-from hypothesis.core import find
 from hypothesis.errors import NoExamples, NoSuchExample, Unsatisfiable, \
     UnsatisfiedAssumption
 from hypothesis.control import assume, reject, _current_build_context
-from hypothesis._settings import settings, Verbosity, note_deprecation
+from hypothesis._settings import Verbosity, settings, note_deprecation
 from hypothesis.internal.compat import hrange
 from hypothesis.utils.conventions import UniqueIdentifier
 from hypothesis.internal.lazyformat import lazyformat
 from hypothesis.internal.reflection import get_pretty_function_description
 
 if False:
-    from typing import Any, Set, Dict, Tuple, FrozenSet, DefaultDict
+    from typing import Any, Set, Dict, Tuple, FrozenSet, DefaultDict  # noqa
     listener_type = DefaultDict['SearchStrategy', Set['SearchStrategy']]
 
 calculating = UniqueIdentifier('calculating')
@@ -269,6 +267,7 @@ def example(self, random=None):
                     '#drawing-interactively-in-tests for more details.'
                 )
 
+
         # Conjecture will always try the zero example first. This would result
         # in us producing the same example each time, which is boring, so we
         # deliberately skip the first example it feeds us.
@@ -281,7 +280,8 @@ def condition(x):
                 first.append(x)
                 return False
         try:
-            return find(
+            import hypothesis
+            return hypothesis.find(
                 self,
                 condition,
                 random=random,