)]}'
{
  "commit": "7c2c06ccfcfd4b7fecbb8fe5e7a4ec0c2eb6645c",
  "tree": "8769cae5a14d8f912ccd82656c7a9de1faf49725",
  "parents": [
    "040c2b2101ba46418268511a6f236951ce382662"
  ],
  "author": {
    "name": "Twice",
    "email": "twice@apache.org",
    "time": "Tue May 05 11:22:33 2026 +0800"
  },
  "committer": {
    "name": "GitHub",
    "email": "noreply@github.com",
    "time": "Tue May 05 11:22:33 2026 +0800"
  },
  "message": "[MLIR][Python] Add `ConditionallySpeculatable` interface and `Pure` specifier (#195505)\n\nThis PR brings two features: the `ConditionallySpeculatable` op\ninterface and the `Pure` specifier for Python-defined ops.\n\nThe result is that you can mark an op as pure like:\n```python\nclass PureOp(\n    TestPure.Operation,\n    name\u003d\"pure\",\n    traits\u003d[Pure]  # just like in the ODS!\n):\n    a: Operand[IntegerType[32]]\n    b: Operand[IntegerType[32]]\n    res: Result[IntegerType[32]] \u003d infer_result()\n```\n\nThen this op is both `NoMemoryEffect` and `AlwaysSpeculatable`.\n\nAssisted-by: Copilot/GPT5.4",
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