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Comparing python objects (such as list/tuple) with mlx.core.array
(#920)
* add implicit conversion of list to array for equality constraint * add tests for array equality * add test for tuple and array equality * return False if __eq__ arg is list or tuple * write tests for equality * update the rule of comparison for __ge__/__gt__/__lt__/__le__ * add a helper function for detecting mlx.core.array * return true in case fo inequality * debug minor issue regarding detecting mlx array * add tests for inequality comparisons * add name for contribution * reformat files using pre-commit * update tests for float * update tests for inequality * raise exception in case of invalid comparisons * use isinstance instead of string comparison * replace "is_convirtable_to_array" with previous logic * remove throwing exceptions for other operations * just a comment * minor changes for efficiency * optimize a utils function * change the function name * Update ACKNOWLEDGMENTS.md --------- Co-authored-by: Awni Hannun <awni.hannun@gmail.com>
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@ -15,7 +15,7 @@ MLX was developed with contributions from the following individuals:
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- Hinrik Snær Guðmundsson: Added `atleast_1d`, `atleast_2d`, `atleast_3d` ops.
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- Luca Arnaboldi: Added `Ceil` and `Floor` ops; implemented pickling, copy and deepcopy for mlx arrays.
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- Brian Keene & Atila Orhon, with Argmax Inc.: Added `fast.scaled_dot_product_attention`
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- AmirHossein Razlighi: Added chaining support for some of the ops in `nn.Module`.
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- AmirHossein Razlighi: Added chaining support for some of the ops in `nn.Module`. Comparison works for non array objects in `mlx.core.array`.
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<a href="https://github.com/ml-explore/mlx/graphs/contributors">
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<img class="dark-light" src="https://contrib.rocks/image?repo=ml-explore/mlx&anon=0&columns=20&max=100&r=true" />
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</a>
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@ -820,37 +820,45 @@ void init_array(nb::module_& m) {
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"other"_a)
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.def(
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"__eq__",
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[](const array& a, const ScalarOrArray v) {
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[](const array& a,
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const ScalarOrArray& v) -> std::variant<array, bool> {
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if (!is_comparable_with_array(v)) {
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return false;
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}
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return equal(a, to_array(v, a.dtype()));
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},
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"other"_a)
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.def(
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"__lt__",
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[](const array& a, const ScalarOrArray v) {
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[](const array& a, const ScalarOrArray v) -> array {
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return less(a, to_array(v, a.dtype()));
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},
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"other"_a)
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.def(
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"__le__",
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[](const array& a, const ScalarOrArray v) {
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[](const array& a, const ScalarOrArray v) -> array {
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return less_equal(a, to_array(v, a.dtype()));
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},
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"other"_a)
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.def(
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"__gt__",
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[](const array& a, const ScalarOrArray v) {
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[](const array& a, const ScalarOrArray v) -> array {
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return greater(a, to_array(v, a.dtype()));
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},
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"other"_a)
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.def(
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"__ge__",
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[](const array& a, const ScalarOrArray v) {
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[](const array& a, const ScalarOrArray v) -> array {
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return greater_equal(a, to_array(v, a.dtype()));
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},
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"other"_a)
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.def(
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"__ne__",
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[](const array& a, const ScalarOrArray v) {
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[](const array& a,
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const ScalarOrArray v) -> std::variant<array, bool> {
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if (!is_comparable_with_array(v)) {
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return true;
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}
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return not_equal(a, to_array(v, a.dtype()));
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},
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"other"_a)
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@ -1432,4 +1440,4 @@ void init_array(nb::module_& m) {
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R"pbdoc(
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Extract a diagonal or construct a diagonal matrix.
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)pbdoc");
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}
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}
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@ -44,6 +44,18 @@ inline array to_array_with_accessor(nb::object obj) {
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}
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}
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inline bool is_comparable_with_array(const ScalarOrArray& v) {
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// Checks if the value can be compared to an array (or is already an
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// mlx array)
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if (auto pv = std::get_if<nb::object>(&v); pv) {
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return nb::isinstance<array>(*pv) || nb::hasattr(*pv, "__mlx_array__");
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} else {
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// If it's not an object, it's a scalar (nb::int_, nb::float_, etc.)
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// and can be compared to an array
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return true;
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}
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}
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inline array to_array(
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const ScalarOrArray& v,
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std::optional<Dtype> dtype = std::nullopt) {
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@ -89,6 +89,121 @@ class TestDtypes(mlx_tests.MLXTestCase):
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self.assertListEqual(list(z.shape), list(y.shape))
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class TestEquality(mlx_tests.MLXTestCase):
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def test_array_eq_array(self):
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a = mx.array([1, 2, 3])
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b = mx.array([1, 2, 3])
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c = mx.array([1, 2, 4])
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self.assertTrue(mx.all(a == b))
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self.assertFalse(mx.all(a == c))
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def test_array_eq_scalar(self):
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a = mx.array([1, 2, 3])
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b = 1
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c = 4
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d = 2.5
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e = mx.array([1, 2.5, 3.25])
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self.assertTrue(mx.any(a == b))
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self.assertFalse(mx.all(a == c))
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self.assertFalse(mx.all(a == d))
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self.assertTrue(mx.any(a == e))
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def test_list_equals_array(self):
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a = mx.array([1, 2, 3])
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b = [1, 2, 3]
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c = [1, 2, 4]
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# mlx array equality returns false if is compared with any kind of
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# object which is not an mlx array
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self.assertFalse(a == b)
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self.assertFalse(a == c)
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def test_tuple_equals_array(self):
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a = mx.array([1, 2, 3])
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b = (1, 2, 3)
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c = (1, 2, 4)
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# mlx array equality returns false if is compared with any kind of
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# object which is not an mlx array
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self.assertFalse(a == b)
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self.assertFalse(a == c)
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class TestInequality(mlx_tests.MLXTestCase):
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def test_array_ne_array(self):
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a = mx.array([1, 2, 3])
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b = mx.array([1, 2, 3])
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c = mx.array([1, 2, 4])
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self.assertFalse(mx.any(a != b))
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self.assertTrue(mx.any(a != c))
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def test_array_ne_scalar(self):
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a = mx.array([1, 2, 3])
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b = 1
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c = 4
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d = 1.5
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e = 2.5
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f = mx.array([1, 2.5, 3.25])
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self.assertFalse(mx.all(a != b))
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self.assertTrue(mx.any(a != c))
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self.assertTrue(mx.any(a != d))
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self.assertTrue(mx.any(a != e))
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self.assertFalse(mx.all(a != f))
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def test_list_not_equals_array(self):
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a = mx.array([1, 2, 3])
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b = [1, 2, 3]
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c = [1, 2, 4]
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# mlx array inequality returns true if is compared with any kind of
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# object which is not an mlx array
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self.assertTrue(a != b)
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self.assertTrue(a != c)
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def test_tuple_not_equals_array(self):
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a = mx.array([1, 2, 3])
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b = (1, 2, 3)
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c = (1, 2, 4)
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# mlx array inequality returns true if is compared with any kind of
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# object which is not an mlx array
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self.assertTrue(a != b)
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self.assertTrue(a != c)
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def test_obj_inequality_array(self):
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str_ = "hello"
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a = mx.array([1, 2, 3])
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lst_ = [1, 2, 3]
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tpl_ = (1, 2, 3)
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# check if object comparison(</>/<=/>=) with mlx array should throw an exception
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# if not, the tests will fail
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with self.assertRaises(ValueError):
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a < str_
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with self.assertRaises(ValueError):
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a > str_
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with self.assertRaises(ValueError):
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a <= str_
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with self.assertRaises(ValueError):
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a >= str_
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with self.assertRaises(ValueError):
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a < lst_
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with self.assertRaises(ValueError):
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a > lst_
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with self.assertRaises(ValueError):
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a <= lst_
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with self.assertRaises(ValueError):
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a >= lst_
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with self.assertRaises(ValueError):
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a < tpl_
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with self.assertRaises(ValueError):
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a > tpl_
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with self.assertRaises(ValueError):
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a <= tpl_
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with self.assertRaises(ValueError):
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a >= tpl_
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class TestArray(mlx_tests.MLXTestCase):
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def test_array_basics(self):
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x = mx.array(1)
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