mirror of https://github.com/m-labs/artiq.git
test_embedding: integer typing fixes
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3db8612f12
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@ -44,8 +44,8 @@ class RoundtripTest(ExperimentCase):
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self.assertRoundtrip(numpy.False_)
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self.assertRoundtrip(numpy.False_)
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def test_int(self):
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def test_int(self):
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self.assertRoundtrip(numpy.int32(42))
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self.assertRoundtrip(int32(42))
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self.assertRoundtrip(numpy.int64(42))
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self.assertRoundtrip(int64(42))
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def test_float(self):
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def test_float(self):
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self.assertRoundtrip(42.0)
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self.assertRoundtrip(42.0)
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@ -66,7 +66,7 @@ class RoundtripTest(ExperimentCase):
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self.assertRoundtrip([True, False])
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self.assertRoundtrip([True, False])
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def test_int64_list(self):
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def test_int64_list(self):
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self.assertRoundtrip([numpy.int64(0), numpy.int64(1)])
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self.assertRoundtrip([int64(0), int64(1)])
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def test_object(self):
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def test_object(self):
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obj = object()
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obj = object()
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@ -89,12 +89,12 @@ class RoundtripTest(ExperimentCase):
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def test_array_1d(self):
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def test_array_1d(self):
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self.assertArrayRoundtrip(numpy.array([True, False]))
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self.assertArrayRoundtrip(numpy.array([True, False]))
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self.assertArrayRoundtrip(numpy.array([1, 2, 3], dtype=numpy.int32))
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self.assertArrayRoundtrip(numpy.array([1, 2, 3], dtype=int32))
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self.assertArrayRoundtrip(numpy.array([1.0, 2.0, 3.0]))
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self.assertArrayRoundtrip(numpy.array([1.0, 2.0, 3.0]))
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self.assertArrayRoundtrip(numpy.array(["a", "b", "c"]))
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self.assertArrayRoundtrip(numpy.array(["a", "b", "c"]))
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def test_array_2d(self):
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def test_array_2d(self):
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self.assertArrayRoundtrip(numpy.array([[1, 2], [3, 4]], dtype=numpy.int32))
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self.assertArrayRoundtrip(numpy.array([[1, 2], [3, 4]], dtype=int32))
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self.assertArrayRoundtrip(numpy.array([[1.0, 2.0], [3.0, 4.0]]))
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self.assertArrayRoundtrip(numpy.array([[1.0, 2.0], [3.0, 4.0]]))
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self.assertArrayRoundtrip(numpy.array([["a", "b"], ["c", "d"]]))
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self.assertArrayRoundtrip(numpy.array([["a", "b"], ["c", "d"]]))
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@ -226,7 +226,7 @@ class RPCTypesTest(ExperimentCase):
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class _RPCCalls(EnvExperiment):
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class _RPCCalls(EnvExperiment):
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def build(self):
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def build(self):
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self.setattr_device("core")
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self.setattr_device("core")
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self._list_int64 = [numpy.int64(1)]
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self._list_int64 = [int64(1)]
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def args(self, *args) -> int32:
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def args(self, *args) -> int32:
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return len(args)
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return len(args)
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@ -268,7 +268,7 @@ class _RPCCalls(EnvExperiment):
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@kernel
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@kernel
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def numpy_things(self):
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def numpy_things(self):
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return (numpy.int32(10), numpy.int64(20))
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return (int32(10), int64(20))
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@kernel
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@kernel
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def builtin(self):
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def builtin(self):
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@ -297,11 +297,11 @@ class RPCCallsTest(ExperimentCase):
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self.assertEqual(exp.kwargs2(), 2)
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self.assertEqual(exp.kwargs2(), 2)
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self.assertEqual(exp.args1kwargs2(), 2)
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self.assertEqual(exp.args1kwargs2(), 2)
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self.assertEqual(exp.numpy_things(),
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self.assertEqual(exp.numpy_things(),
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(numpy.int32(10), numpy.int64(20)))
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(int32(10), int64(20)))
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# Ensure lists of int64s don't decay to variable-length builtin integers.
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# Ensure lists of int64s don't decay to variable-length builtin integers.
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list_int64 = exp.list_int64()
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list_int64 = exp.list_int64()
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self.assertEqual(list_int64, [numpy.int64(1)])
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self.assertEqual(list_int64, [int64(1)])
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self.assertTrue(isinstance(list_int64[0], numpy.int64))
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self.assertTrue(isinstance(list_int64[0], int64))
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exp.builtin()
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exp.builtin()
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exp.async_in_try()
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exp.async_in_try()
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@ -393,8 +393,8 @@ class _ListTuple(EnvExperiment):
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return 2
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return 2
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def get_values(self, base_a, base_b, n) -> tuple[list[int32], list[int32]]:
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def get_values(self, base_a, base_b, n) -> tuple[list[int32], list[int32]]:
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return [numpy.int32(base_a + i) for i in range(n)], \
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return [int32(base_a + i) for i in range(n)], \
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[numpy.int32(base_b + i) for i in range(n)]
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[int32(base_b + i) for i in range(n)]
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class _NestedTupleList(EnvExperiment):
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class _NestedTupleList(EnvExperiment):
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@ -442,8 +442,8 @@ class ListTupleTest(ExperimentCase):
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class _ArrayQuoting(EnvExperiment):
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class _ArrayQuoting(EnvExperiment):
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def build(self):
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def build(self):
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self.setattr_device("core")
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self.setattr_device("core")
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self.vec_i32 = numpy.array([0, 1], dtype=numpy.int32)
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self.vec_i32 = numpy.array([0, 1], dtype=int32)
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self.mat_i64 = numpy.array([[0, 1], [2, 3]], dtype=numpy.int64)
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self.mat_i64 = numpy.array([[0, 1], [2, 3]], dtype=int64)
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self.arr_f64 = numpy.array([[[0.0, 1.0], [2.0, 3.0]],
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self.arr_f64 = numpy.array([[[0.0, 1.0], [2.0, 3.0]],
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[[4.0, 5.0], [6.0, 7.0]]])
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[[4.0, 5.0], [6.0, 7.0]]])
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self.strs = numpy.array(["foo", "bar"])
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self.strs = numpy.array(["foo", "bar"])
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@ -579,17 +579,17 @@ class NumpyQuotingTest(ExperimentCase):
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class _IntBoundary(EnvExperiment):
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class _IntBoundary(EnvExperiment):
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def build(self):
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def build(self):
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self.setattr_device("core")
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self.setattr_device("core")
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self.int32_min = numpy.iinfo(numpy.int32).min
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self.int32_min = numpy.iinfo(int32).min
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self.int32_max = numpy.iinfo(numpy.int32).max
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self.int32_max = numpy.iinfo(int32).max
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self.int64_min = numpy.iinfo(numpy.int64).min
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self.int64_min = numpy.iinfo(int64).min
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self.int64_max = numpy.iinfo(numpy.int64).max
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self.int64_max = numpy.iinfo(int64).max
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@kernel
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@kernel
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def test_int32_bounds(self, min_val: TInt32, max_val: TInt32):
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def test_int32_bounds(self, min_val: int32, max_val: int32):
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return min_val == self.int32_min and max_val == self.int32_max
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return min_val == self.int32_min and max_val == self.int32_max
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@kernel
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@kernel
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def test_int64_bounds(self, min_val: TInt64, max_val: TInt64):
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def test_int64_bounds(self, min_val: int64, max_val: int64):
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return min_val == self.int64_min and max_val == self.int64_max
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return min_val == self.int64_min and max_val == self.int64_max
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@kernel
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@kernel
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