prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  Specify that exit code -9 is due to RAM
  Related to https://github.com/apache/airflow/issues/9655
  
  It would be nice to add a message when you get this error with some info, like 'This probably is because a lack of RAM' or something like that. 
  
  I have found the code where the -9 is assigned but have no idea how to add a logging message. 
  
          self.process = None
  
          if self._rc is None:
              # Something else reaped it before we had a chance, so let's just "guess" at an error code.
              self._rc = -9
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `airflow/task/task_runner/standard_task_runner.py`
  Content:
  ```
  1 #
  2 # Licensed to the Apache Software Foundation (ASF) under one
  3 # or more contributor license agreements.  See the NOTICE file
  4 # distributed with this work for additional information
  5 # regarding copyright ownership.  The ASF licenses this file
  6 # to you under the Apache License, Version 2.0 (the
  7 # "License"); you may not use this file except in compliance
  8 # with the License.  You may obtain a copy of the License at
  9 #
  10 #   http://www.apache.org/licenses/LICENSE-2.0
  11 #
  12 # Unless required by applicable law or agreed to in writing,
  13 # software distributed under the License is distributed on an
  14 # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
  15 # KIND, either express or implied.  See the License for the
  16 # specific language governing permissions and limitations
  17 # under the License.
  18 """Standard task runner"""
  19 import logging
  20 import os
  21 from typing import Optional
  22 
  23 import psutil
  24 from setproctitle import setproctitle  # pylint: disable=no-name-in-module
  25 
  26 from airflow.settings import CAN_FORK
  27 from airflow.task.task_runner.base_task_runner import BaseTaskRunner
  28 from airflow.utils.process_utils import reap_process_group
  29 
  30 
  31 class StandardTaskRunner(BaseTaskRunner):
  32     """Standard runner for all tasks."""
  33 
  34     def __init__(self, local_task_job):
  35         super().__init__(local_task_job)
  36         self._rc = None
  37         self.dag = local_task_job.task_instance.task.dag
  38 
  39     def start(self):
  40         if CAN_FORK and not self.run_as_user:
  41             self.process = self._start_by_fork()
  42         else:
  43             self.process = self._start_by_exec()
  44 
  45     def _start_by_exec(self):
  46         subprocess = self.run_command()
  47         return psutil.Process(subprocess.pid)
  48 
  49     def _start_by_fork(self):  # pylint: disable=inconsistent-return-statements
  50         pid = os.fork()
  51         if pid:
  52             self.log.info("Started process %d to run task", pid)
  53             return psutil.Process(pid)
  54         else:
  55             import signal
  56 
  57             from airflow import settings
  58             from airflow.cli.cli_parser import get_parser
  59             from airflow.sentry import Sentry
  60 
  61             signal.signal(signal.SIGINT, signal.SIG_DFL)
  62             signal.signal(signal.SIGTERM, signal.SIG_DFL)
  63             # Start a new process group
  64             os.setpgid(0, 0)
  65 
  66             # Force a new SQLAlchemy session. We can't share open DB handles
  67             # between process. The cli code will re-create this as part of its
  68             # normal startup
  69             settings.engine.pool.dispose()
  70             settings.engine.dispose()
  71 
  72             parser = get_parser()
  73             # [1:] - remove "airflow" from the start of the command
  74             args = parser.parse_args(self._command[1:])
  75 
  76             self.log.info('Running: %s', self._command)
  77             self.log.info('Job %s: Subtask %s', self._task_instance.job_id, self._task_instance.task_id)
  78 
  79             proc_title = "airflow task runner: {0.dag_id} {0.task_id} {0.execution_date}"
  80             if hasattr(args, "job_id"):
  81                 proc_title += " {0.job_id}"
  82             setproctitle(proc_title.format(args))
  83 
  84             try:
  85                 args.func(args, dag=self.dag)
  86                 return_code = 0
  87             except Exception:  # pylint: disable=broad-except
  88                 return_code = 1
  89             finally:
  90                 # Explicitly flush any pending exception to Sentry if enabled
  91                 Sentry.flush()
  92                 logging.shutdown()
  93                 os._exit(return_code)  # pylint: disable=protected-access
  94 
  95     def return_code(self, timeout: int = 0) -> Optional[int]:
  96         # We call this multiple times, but we can only wait on the process once
  97         if self._rc is not None or not self.process:
  98             return self._rc
  99 
  100         try:
  101             self._rc = self.process.wait(timeout=timeout)
  102             self.process = None
  103         except psutil.TimeoutExpired:
  104             pass
  105 
  106         return self._rc
  107 
  108     def terminate(self):
  109         if self.process is None:
  110             return
  111 
  112         # Reap the child process - it may already be finished
  113         _ = self.return_code(timeout=0)
  114 
  115         if self.process and self.process.is_running():
  116             rcs = reap_process_group(self.process.pid, self.log)
  117             self._rc = rcs.get(self.process.pid)
  118 
  119         self.process = None
  120 
  121         if self._rc is None:
  122             # Something else reaped it before we had a chance, so let's just "guess" at an error code.
  123             self._rc = -9
  124
  ```
  --- END FILES ---
  
  Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.
  
  Here is an example:
  
  ```diff
  diff --git a/examples/server_async.py b/examples/server_async.py
  --- a/examples/server_async.py
  +++ b/examples/server_async.py
  @@ -313,4 +313,4 @@
   
   
   if __name__ == "__main__":
  -    asyncio.run(run_async_server("."), debug=True)
  +    asyncio.run(run_async_server(), debug=True)
  diff --git a/examples/server_sync.py b/examples/server_sync.py
  --- a/examples/server_sync.py
  +++ b/examples/server_sync.py
  @@ -313,5 +313,5 @@
   
   
   if __name__ == "__main__":
  -    server = run_sync_server(".")
  +    server = run_sync_server()
       server.shutdown()
  
  ```
  
golden_diff: diff --git a/airflow/task/task_runner/standard_task_runner.py b/airflow/task/task_runner/standard_task_runner.py
  --- a/airflow/task/task_runner/standard_task_runner.py
  +++ b/airflow/task/task_runner/standard_task_runner.py
  @@ -121,3 +121,11 @@
           if self._rc is None:
               # Something else reaped it before we had a chance, so let's just "guess" at an error code.
               self._rc = -9
  +
  +        if self._rc == -9:
  +            # If either we or psutil gives out a -9 return code, it likely means
  +            # an OOM happened
  +            self.log.error(
  +                'Job %s was killed before it finished (likely due to running out of memory)',
  +                self._task_instance.job_id,
  +            )
  
verification_info: {"golden_diff": "diff --git a/airflow/task/task_runner/standard_task_runner.py b/airflow/task/task_runner/standard_task_runner.py\n--- a/airflow/task/task_runner/standard_task_runner.py\n+++ b/airflow/task/task_runner/standard_task_runner.py\n@@ -121,3 +121,11 @@\n         if self._rc is None:\n             # Something else reaped it before we had a chance, so let's just \"guess\" at an error code.\n             self._rc = -9\n+\n+        if self._rc == -9:\n+            # If either we or psutil gives out a -9 return code, it likely means\n+            # an OOM happened\n+            self.log.error(\n+                'Job %s was killed before it finished (likely due to running out of memory)',\n+                self._task_instance.job_id,\n+            )\n", "issue": "Specify that exit code -9 is due to RAM\nRelated to https://github.com/apache/airflow/issues/9655\r\n\r\nIt would be nice to add a message when you get this error with some info, like 'This probably is because a lack of RAM' or something like that. \r\n\r\nI have found the code where the -9 is assigned but have no idea how to add a logging message. \r\n\r\n        self.process = None\r\n\r\n        if self._rc is None:\r\n            # Something else reaped it before we had a chance, so let's just \"guess\" at an error code.\r\n            self._rc = -9\n", "before_files": [{"content": "#\n# Licensed to the Apache Software Foundation (ASF) under one\n# or more contributor license agreements.  See the NOTICE file\n# distributed with this work for additional information\n# regarding copyright ownership.  The ASF licenses this file\n# to you under the Apache License, Version 2.0 (the\n# \"License\"); you may not use this file except in compliance\n# with the License.  You may obtain a copy of the License at\n#\n#   http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing,\n# software distributed under the License is distributed on an\n# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n# KIND, either express or implied.  See the License for the\n# specific language governing permissions and limitations\n# under the License.\n\"\"\"Standard task runner\"\"\"\nimport logging\nimport os\nfrom typing import Optional\n\nimport psutil\nfrom setproctitle import setproctitle  # pylint: disable=no-name-in-module\n\nfrom airflow.settings import CAN_FORK\nfrom airflow.task.task_runner.base_task_runner import BaseTaskRunner\nfrom airflow.utils.process_utils import reap_process_group\n\n\nclass StandardTaskRunner(BaseTaskRunner):\n    \"\"\"Standard runner for all tasks.\"\"\"\n\n    def __init__(self, local_task_job):\n        super().__init__(local_task_job)\n        self._rc = None\n        self.dag = local_task_job.task_instance.task.dag\n\n    def start(self):\n        if CAN_FORK and not self.run_as_user:\n            self.process = self._start_by_fork()\n        else:\n            self.process = self._start_by_exec()\n\n    def _start_by_exec(self):\n        subprocess = self.run_command()\n        return psutil.Process(subprocess.pid)\n\n    def _start_by_fork(self):  # pylint: disable=inconsistent-return-statements\n        pid = os.fork()\n        if pid:\n            self.log.info(\"Started process %d to run task\", pid)\n            return psutil.Process(pid)\n        else:\n            import signal\n\n            from airflow import settings\n            from airflow.cli.cli_parser import get_parser\n            from airflow.sentry import Sentry\n\n            signal.signal(signal.SIGINT, signal.SIG_DFL)\n            signal.signal(signal.SIGTERM, signal.SIG_DFL)\n            # Start a new process group\n            os.setpgid(0, 0)\n\n            # Force a new SQLAlchemy session. We can't share open DB handles\n            # between process. The cli code will re-create this as part of its\n            # normal startup\n            settings.engine.pool.dispose()\n            settings.engine.dispose()\n\n            parser = get_parser()\n            # [1:] - remove \"airflow\" from the start of the command\n            args = parser.parse_args(self._command[1:])\n\n            self.log.info('Running: %s', self._command)\n            self.log.info('Job %s: Subtask %s', self._task_instance.job_id, self._task_instance.task_id)\n\n            proc_title = \"airflow task runner: {0.dag_id} {0.task_id} {0.execution_date}\"\n            if hasattr(args, \"job_id\"):\n                proc_title += \" {0.job_id}\"\n            setproctitle(proc_title.format(args))\n\n            try:\n                args.func(args, dag=self.dag)\n                return_code = 0\n            except Exception:  # pylint: disable=broad-except\n                return_code = 1\n            finally:\n                # Explicitly flush any pending exception to Sentry if enabled\n                Sentry.flush()\n                logging.shutdown()\n                os._exit(return_code)  # pylint: disable=protected-access\n\n    def return_code(self, timeout: int = 0) -> Optional[int]:\n        # We call this multiple times, but we can only wait on the process once\n        if self._rc is not None or not self.process:\n            return self._rc\n\n        try:\n            self._rc = self.process.wait(timeout=timeout)\n            self.process = None\n        except psutil.TimeoutExpired:\n            pass\n\n        return self._rc\n\n    def terminate(self):\n        if self.process is None:\n            return\n\n        # Reap the child process - it may already be finished\n        _ = self.return_code(timeout=0)\n\n        if self.process and self.process.is_running():\n            rcs = reap_process_group(self.process.pid, self.log)\n            self._rc = rcs.get(self.process.pid)\n\n        self.process = None\n\n        if self._rc is None:\n            # Something else reaped it before we had a chance, so let's just \"guess\" at an error code.\n            self._rc = -9\n", "path": "airflow/task/task_runner/standard_task_runner.py"}], "after_files": [{"content": "#\n# Licensed to the Apache Software Foundation (ASF) under one\n# or more contributor license agreements.  See the NOTICE file\n# distributed with this work for additional information\n# regarding copyright ownership.  The ASF licenses this file\n# to you under the Apache License, Version 2.0 (the\n# \"License\"); you may not use this file except in compliance\n# with the License.  You may obtain a copy of the License at\n#\n#   http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing,\n# software distributed under the License is distributed on an\n# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n# KIND, either express or implied.  See the License for the\n# specific language governing permissions and limitations\n# under the License.\n\"\"\"Standard task runner\"\"\"\nimport logging\nimport os\nfrom typing import Optional\n\nimport psutil\nfrom setproctitle import setproctitle  # pylint: disable=no-name-in-module\n\nfrom airflow.settings import CAN_FORK\nfrom airflow.task.task_runner.base_task_runner import BaseTaskRunner\nfrom airflow.utils.process_utils import reap_process_group\n\n\nclass StandardTaskRunner(BaseTaskRunner):\n    \"\"\"Standard runner for all tasks.\"\"\"\n\n    def __init__(self, local_task_job):\n        super().__init__(local_task_job)\n        self._rc = None\n        self.dag = local_task_job.task_instance.task.dag\n\n    def start(self):\n        if CAN_FORK and not self.run_as_user:\n            self.process = self._start_by_fork()\n        else:\n            self.process = self._start_by_exec()\n\n    def _start_by_exec(self):\n        subprocess = self.run_command()\n        return psutil.Process(subprocess.pid)\n\n    def _start_by_fork(self):  # pylint: disable=inconsistent-return-statements\n        pid = os.fork()\n        if pid:\n            self.log.info(\"Started process %d to run task\", pid)\n            return psutil.Process(pid)\n        else:\n            import signal\n\n            from airflow import settings\n            from airflow.cli.cli_parser import get_parser\n            from airflow.sentry import Sentry\n\n            signal.signal(signal.SIGINT, signal.SIG_DFL)\n            signal.signal(signal.SIGTERM, signal.SIG_DFL)\n            # Start a new process group\n            os.setpgid(0, 0)\n\n            # Force a new SQLAlchemy session. We can't share open DB handles\n            # between process. The cli code will re-create this as part of its\n            # normal startup\n            settings.engine.pool.dispose()\n            settings.engine.dispose()\n\n            parser = get_parser()\n            # [1:] - remove \"airflow\" from the start of the command\n            args = parser.parse_args(self._command[1:])\n\n            self.log.info('Running: %s', self._command)\n            self.log.info('Job %s: Subtask %s', self._task_instance.job_id, self._task_instance.task_id)\n\n            proc_title = \"airflow task runner: {0.dag_id} {0.task_id} {0.execution_date}\"\n            if hasattr(args, \"job_id\"):\n                proc_title += \" {0.job_id}\"\n            setproctitle(proc_title.format(args))\n\n            try:\n                args.func(args, dag=self.dag)\n                return_code = 0\n            except Exception:  # pylint: disable=broad-except\n                return_code = 1\n            finally:\n                # Explicitly flush any pending exception to Sentry if enabled\n                Sentry.flush()\n                logging.shutdown()\n                os._exit(return_code)  # pylint: disable=protected-access\n\n    def return_code(self, timeout: int = 0) -> Optional[int]:\n        # We call this multiple times, but we can only wait on the process once\n        if self._rc is not None or not self.process:\n            return self._rc\n\n        try:\n            self._rc = self.process.wait(timeout=timeout)\n            self.process = None\n        except psutil.TimeoutExpired:\n            pass\n\n        return self._rc\n\n    def terminate(self):\n        if self.process is None:\n            return\n\n        # Reap the child process - it may already be finished\n        _ = self.return_code(timeout=0)\n\n        if self.process and self.process.is_running():\n            rcs = reap_process_group(self.process.pid, self.log)\n            self._rc = rcs.get(self.process.pid)\n\n        self.process = None\n\n        if self._rc is None:\n            # Something else reaped it before we had a chance, so let's just \"guess\" at an error code.\n            self._rc = -9\n\n        if self._rc == -9:\n            # If either we or psutil gives out a -9 return code, it likely means\n            # an OOM happened\n            self.log.error(\n                'Job %s was killed before it finished (likely due to running out of memory)',\n                self._task_instance.job_id,\n            )\n", "path": "airflow/task/task_runner/standard_task_runner.py"}]}