Remove unused ones_arrays strategies

Author: asmeurer

array_api_tests/hypothesis_helpers.py

@@ -3,9 +3,8 @@
 from math import sqrt
 
 from hypothesis.strategies import (lists, integers, builds, sampled_from,
-                                   shared, tuples as hypotheses_tuples,
-                                   floats, just, composite, one_of, none,
-                                   booleans)
+                                   shared, floats, just, composite, one_of,
+                                   none, booleans)
 from hypothesis.extra.numpy import mutually_broadcastable_shapes
 from hypothesis import assume
 
@@ -14,7 +13,7 @@
                             floating_dtype_objects, numeric_dtype_objects,
                             boolean_dtype_objects,
                             integer_or_boolean_dtype_objects, dtype_objects)
-from ._array_module import (ones, full, float32, float64, bool as bool_dtype, _UndefinedStub)
+from ._array_module import full, float32, float64, bool as bool_dtype, _UndefinedStub
 from . import _array_module
 
 from .function_stubs import elementwise_functions
@@ -23,7 +22,7 @@
 # Set this to True to not fail tests just because a dtype isn't implemented.
 # If no compatible dtype is implemented for a given test, the test will fail
 # with a hypothesis health check error. Note that this functionality will not
-# work for floating point dtypes are those are assumed to be defined in other
+# work for floating point dtypes as those are assumed to be defined in other
 # places in the tests.
 FILTER_UNDEFINED_DTYPES = True
 
@@ -125,10 +124,6 @@ def two_broadcastable_shapes(draw, shapes=shapes):
 sizes = integers(0, MAX_ARRAY_SIZE)
 sqrt_sizes = integers(0, SQRT_MAX_ARRAY_SIZE)
 
-ones_arrays = builds(ones, shapes, dtype=shared_dtypes)
-
-nonbroadcastable_ones_array_two_args = hypotheses_tuples(ones_arrays, ones_arrays)
-
 # TODO: Generate general arrays here, rather than just scalars.
 numeric_arrays = builds(full, just((1,)), floats())