chore: import upstream snapshot with attribution

tests/python/arith/test_arith_detect_linear_equation.py

@@ -0,0 +1,82 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+import tvm
+import tvm.testing
+
+
+def test_basic():
+    a = tvm.tirx.Var("a", "int32")
+    b = tvm.tirx.Var("b", "int32")
+    m = tvm.arith.detect_linear_equation(a * 4 + b * 6 + 7, [a])
+    assert m[0].value == 4
+    tvm.testing.assert_prim_expr_equal(m[1], b * 6 + 7)
+
+    m = tvm.arith.detect_linear_equation(a * 4 * (a + 1) + b * 6 + 7, [a])
+    assert len(m) == 0
+
+    m = tvm.arith.detect_linear_equation(a * 4 + (a + 1) + b * 6 + 7, [a])
+    assert m[0].value == 5
+    tvm.testing.assert_prim_expr_equal(m[1], b * 6 + 7 + 1)
+
+    m = tvm.arith.detect_linear_equation(a * b + 7, [a])
+    assert m[0] == b
+
+    m = tvm.arith.detect_linear_equation(b * 7, [a])
+    assert m[0].value == 0
+
+    m = tvm.arith.detect_linear_equation(b * 7, [])
+    assert len(m) == 1
+    tvm.testing.assert_prim_expr_equal(m[0], b * 7)
+
+    c = tvm.tirx.Var("c", "uint32")
+    m = tvm.arith.detect_linear_equation(128 - c, [c])
+    assert m[0].value == -1
+
+
+def test_multivariate():
+    v = [tvm.tirx.Var(f"v{i}", "int32") for i in range(4)]
+    b = tvm.tirx.Var("b", "int32")
+    m = tvm.arith.detect_linear_equation(v[0] * (b + 4) + v[0] + v[1] * 8, v)
+
+    tvm.testing.assert_prim_expr_equal(m[0], b + 5)
+
+    assert m[1].value == 8
+
+    m = tvm.arith.detect_linear_equation(v[0] * (b + 4) + v[0] + v[1] * 8 * v[2], v)
+    assert len(m) == 0
+
+    m = tvm.arith.detect_linear_equation(v[0] * (b + 4) + v[0] + v[1] * 8 * v[1] + v[3], v)
+    assert len(m) == 0
+
+    m = tvm.arith.detect_linear_equation(((v[0] * b + v[1]) * 8 + v[2] + 1) * 2, v)
+    assert m[1].value == 16
+    assert m[2].value == 2
+    assert m[len(m) - 1].value == 2
+
+    m = tvm.arith.detect_linear_equation((v[0] - v[1]), [v[2]])
+    assert m[0].value == 0
+
+    tvm.testing.assert_prim_expr_equal(m[1], v[0] - v[1])
+
+    m = tvm.arith.detect_linear_equation((v[0] - v[1]), [])
+    assert len(m) == 1
+    tvm.testing.assert_prim_expr_equal(m[0], v[0] - v[1])
+
+
+if __name__ == "__main__":
+    test_basic()
+    test_multivariate()