We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
Synchronize the python version in the local context with the python version in the remote context.


--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `modin/experimental/cloud/rayscale.py`
Content:
```
1 # Licensed to Modin Development Team under one or more contributor license agreements.
2 # See the NOTICE file distributed with this work for additional information regarding
3 # copyright ownership.  The Modin Development Team licenses this file to you under the
4 # Apache License, Version 2.0 (the "License"); you may not use this file except in
5 # compliance with the License.  You may obtain a copy of the License at
6 #
7 #     http://www.apache.org/licenses/LICENSE-2.0
8 #
9 # Unless required by applicable law or agreed to in writing, software distributed under
10 # the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
11 # ANY KIND, either express or implied. See the License for the specific language
12 # governing permissions and limitations under the License.
13 
14 import threading
15 import os
16 import traceback
17 import sys
18 from hashlib import sha1
19 from typing import Callable
20 
21 import yaml
22 from ray.autoscaler.commands import (
23     create_or_update_cluster,
24     teardown_cluster,
25     get_head_node_ip,
26     _bootstrap_config,
27 )
28 
29 from .base import (
30     CannotSpawnCluster,
31     CannotDestroyCluster,
32     ConnectionDetails,
33     _get_ssh_proxy_command,
34 )
35 from .cluster import BaseCluster, Provider
36 
37 
38 class _ThreadTask:
39     def __init__(self, target: Callable):
40         self.target = target
41         self.thread: threading.Thread = None
42         self.exc: Exception = None
43         self.silent = False
44 
45 
46 class _Immediate:
47     def __init__(self, target: Callable):
48         self.target = target
49 
50     def start(self):
51         self.target()
52 
53     def join(self):
54         pass
55 
56 
57 class RayCluster(BaseCluster):
58     target_engine = "Cloudray"
59     target_partition = "Pandas"
60 
61     __base_config = os.path.join(
62         os.path.abspath(os.path.dirname(__file__)), "ray-autoscaler.yml"
63     )
64     __instance_key = {Provider.AWS: "InstanceType"}
65     __image_key = {Provider.AWS: "ImageId"}
66     __credentials_env = {Provider.AWS: "AWS_SHARED_CREDENTIALS_FILE"}
67 
68     def __init__(self, *a, **kw):
69         self.spawner = _ThreadTask(self.__do_spawn)
70         self.destroyer = _ThreadTask(self.__do_destroy)
71 
72         self.ready = False
73         super().__init__(*a, **kw)
74 
75         if self.provider.credentials_file is not None:
76             try:
77                 config_key = self.__credentials_env[self.provider.name]
78             except KeyError:
79                 raise ValueError(f"Unsupported provider: {self.provider.name}")
80             os.environ[config_key] = self.provider.credentials_file
81 
82         self.config = self.__make_config()
83         self.config_file = self.__save_config(self.config)
84 
85     def _spawn(self, wait=True):
86         self.__run_thread(wait, self.spawner)
87 
88     def _destroy(self, wait=True):
89         self.__run_thread(wait, self.destroyer)
90 
91     def __run_thread(self, wait, task: _ThreadTask):
92         if not task.thread:
93             task.thread = (_Immediate if wait else threading.Thread)(target=task.target)
94             task.thread.start()
95 
96         if wait:
97             task.silent = True
98             task.thread.join()
99             exc, task.exc = task.exc, None
100             if exc:
101                 raise exc
102 
103     def __make_config(self):
104         with open(self.__base_config) as inp:
105             config = yaml.safe_load(inp.read())
106 
107         # cluster and provider details
108         config["cluster_name"] = self.cluster_name
109         config["min_workers"] = self.worker_count
110         config["max_workers"] = self.worker_count
111         config["initial_workers"] = self.worker_count
112         config["provider"]["type"] = self.provider.name
113         if self.provider.region:
114             config["provider"]["region"] = self.provider.region
115         if self.provider.zone:
116             config["provider"]["availability_zone"] = self.provider.zone
117 
118         # connection details
119         config["auth"]["ssh_user"] = "ubuntu"
120         socks_proxy_cmd = _get_ssh_proxy_command()
121         if socks_proxy_cmd:
122             config["auth"]["ssh_proxy_command"] = socks_proxy_cmd
123 
124         # instance types
125         try:
126             instance_key = self.__instance_key[self.provider.name]
127             image_key = self.__image_key[self.provider.name]
128         except KeyError:
129             raise ValueError(f"Unsupported provider: {self.provider.name}")
130 
131         config["head_node"][instance_key] = self.head_node_type
132         config["head_node"][image_key] = self.provider.image
133         config["worker_nodes"][instance_key] = self.worker_node_type
134         config["worker_nodes"][image_key] = self.provider.image
135 
136         return _bootstrap_config(config)
137 
138     @staticmethod
139     def __save_config(config):
140         cfgdir = os.path.abspath(os.path.expanduser("~/.modin/cloud"))
141         os.makedirs(cfgdir, mode=0o700, exist_ok=True)
142         namehash = sha1(repr(config).encode("utf8")).hexdigest()[:8]
143         entry = os.path.join(cfgdir, f"config-{namehash}.yml")
144 
145         with open(entry, "w") as out:
146             out.write(yaml.dump(config))
147         return entry
148 
149     def __do_spawn(self):
150         try:
151             create_or_update_cluster(
152                 self.config_file,
153                 override_min_workers=None,
154                 override_max_workers=None,
155                 no_restart=False,
156                 restart_only=False,
157                 yes=True,
158                 override_cluster_name=None,
159                 no_config_cache=False,
160                 log_old_style=False,
161                 log_color="auto",
162                 verbose=1,
163             )
164             # need to re-load the config, as create_or_update_cluster() modifies it
165             with open(self.config_file) as inp:
166                 self.config = yaml.safe_load(inp.read())
167             self.ready = True
168         except BaseException as ex:
169             self.spawner.exc = CannotSpawnCluster(
170                 "Cannot spawn cluster", cause=ex, traceback=traceback.format_exc()
171             )
172             if not self.spawner.silent:
173                 sys.stderr.write(f"Cannot spawn cluster:\n{traceback.format_exc()}\n")
174 
175     def __do_destroy(self):
176         try:
177             teardown_cluster(
178                 self.config_file,
179                 yes=True,
180                 workers_only=False,
181                 override_cluster_name=None,
182                 keep_min_workers=0,
183                 log_old_style=False,
184                 log_color="auto",
185                 verbose=1,
186             )
187             self.ready = False
188             self.config = None
189         except BaseException as ex:
190             self.destroyer.exc = CannotDestroyCluster(
191                 "Cannot destroy cluster", cause=ex, traceback=traceback.format_exc()
192             )
193             if not self.destroyer.silent:
194                 sys.stderr.write(f"Cannot destroy cluster:\n{traceback.format_exc()}\n")
195 
196     def _get_connection_details(self) -> ConnectionDetails:
197         """
198         Gets the coordinates on how to connect to cluster frontend node.
199         """
200         assert self.ready, "Cluster is not ready, cannot get connection details"
201         return ConnectionDetails(
202             user_name=self.config["auth"]["ssh_user"],
203             key_file=self.config["auth"]["ssh_private_key"],
204             address=get_head_node_ip(self.config_file, override_cluster_name=None),
205         )
206 
207     def _get_main_python(self) -> str:
208         """
209         Gets the path to 'main' interpreter (the one that houses created environment for running everything)
210         """
211         return "~/miniconda/envs/modin/bin/python"
212
```
--- 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()

```

diff --git a/modin/experimental/cloud/rayscale.py b/modin/experimental/cloud/rayscale.py
--- a/modin/experimental/cloud/rayscale.py
+++ b/modin/experimental/cloud/rayscale.py
@@ -133,8 +133,34 @@
         config["worker_nodes"][instance_key] = self.worker_node_type
         config["worker_nodes"][image_key] = self.provider.image
 
+        # NOTE: setup_commands may be list with several sets of shell commands
+        # this change only first set defining the remote environment
+        res = self._update_conda_requirements(config["setup_commands"][0])
+        config["setup_commands"][0] = res
+
         return _bootstrap_config(config)
 
+    @classmethod
+    def _conda_requirements(cls):
+        reqs = []
+
+        reqs.append(f"python=={cls._get_python_version()}")
+
+        return reqs
+
+    @classmethod
+    def _update_conda_requirements(cls, setup_commands: str):
+        return setup_commands.replace(
+            "{{CONDA_PACKAGES}}", " ".join(cls._conda_requirements())
+        )
+
+    @staticmethod
+    def _get_python_version():
+        major = sys.version_info.major
+        minor = sys.version_info.minor
+        micro = sys.version_info.micro
+        return f"{major}.{minor}.{micro}"
+
     @staticmethod
     def __save_config(config):
         cfgdir = os.path.abspath(os.path.expanduser("~/.modin/cloud"))

{"golden_diff": "diff --git a/modin/experimental/cloud/rayscale.py b/modin/experimental/cloud/rayscale.py\n--- a/modin/experimental/cloud/rayscale.py\n+++ b/modin/experimental/cloud/rayscale.py\n@@ -133,8 +133,34 @@\n         config[\"worker_nodes\"][instance_key] = self.worker_node_type\n         config[\"worker_nodes\"][image_key] = self.provider.image\n \n+        # NOTE: setup_commands may be list with several sets of shell commands\n+        # this change only first set defining the remote environment\n+        res = self._update_conda_requirements(config[\"setup_commands\"][0])\n+        config[\"setup_commands\"][0] = res\n+\n         return _bootstrap_config(config)\n \n+    @classmethod\n+    def _conda_requirements(cls):\n+        reqs = []\n+\n+        reqs.append(f\"python=={cls._get_python_version()}\")\n+\n+        return reqs\n+\n+    @classmethod\n+    def _update_conda_requirements(cls, setup_commands: str):\n+        return setup_commands.replace(\n+            \"{{CONDA_PACKAGES}}\", \" \".join(cls._conda_requirements())\n+        )\n+\n+    @staticmethod\n+    def _get_python_version():\n+        major = sys.version_info.major\n+        minor = sys.version_info.minor\n+        micro = sys.version_info.micro\n+        return f\"{major}.{minor}.{micro}\"\n+\n     @staticmethod\n     def __save_config(config):\n         cfgdir = os.path.abspath(os.path.expanduser(\"~/.modin/cloud\"))\n", "issue": "Synchronize the python version in the local context with the python version in the remote context.\n\n", "before_files": [{"content": "# Licensed to Modin Development Team under one or more contributor license agreements.\n# See the NOTICE file distributed with this work for additional information regarding\n# copyright ownership.  The Modin Development Team licenses this file to you under the\n# Apache License, Version 2.0 (the \"License\"); you may not use this file except in\n# compliance 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, software distributed under\n# the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF\n# ANY KIND, either express or implied. See the License for the specific language\n# governing permissions and limitations under the License.\n\nimport threading\nimport os\nimport traceback\nimport sys\nfrom hashlib import sha1\nfrom typing import Callable\n\nimport yaml\nfrom ray.autoscaler.commands import (\n    create_or_update_cluster,\n    teardown_cluster,\n    get_head_node_ip,\n    _bootstrap_config,\n)\n\nfrom .base import (\n    CannotSpawnCluster,\n    CannotDestroyCluster,\n    ConnectionDetails,\n    _get_ssh_proxy_command,\n)\nfrom .cluster import BaseCluster, Provider\n\n\nclass _ThreadTask:\n    def __init__(self, target: Callable):\n        self.target = target\n        self.thread: threading.Thread = None\n        self.exc: Exception = None\n        self.silent = False\n\n\nclass _Immediate:\n    def __init__(self, target: Callable):\n        self.target = target\n\n    def start(self):\n        self.target()\n\n    def join(self):\n        pass\n\n\nclass RayCluster(BaseCluster):\n    target_engine = \"Cloudray\"\n    target_partition = \"Pandas\"\n\n    __base_config = os.path.join(\n        os.path.abspath(os.path.dirname(__file__)), \"ray-autoscaler.yml\"\n    )\n    __instance_key = {Provider.AWS: \"InstanceType\"}\n    __image_key = {Provider.AWS: \"ImageId\"}\n    __credentials_env = {Provider.AWS: \"AWS_SHARED_CREDENTIALS_FILE\"}\n\n    def __init__(self, *a, **kw):\n        self.spawner = _ThreadTask(self.__do_spawn)\n        self.destroyer = _ThreadTask(self.__do_destroy)\n\n        self.ready = False\n        super().__init__(*a, **kw)\n\n        if self.provider.credentials_file is not None:\n            try:\n                config_key = self.__credentials_env[self.provider.name]\n            except KeyError:\n                raise ValueError(f\"Unsupported provider: {self.provider.name}\")\n            os.environ[config_key] = self.provider.credentials_file\n\n        self.config = self.__make_config()\n        self.config_file = self.__save_config(self.config)\n\n    def _spawn(self, wait=True):\n        self.__run_thread(wait, self.spawner)\n\n    def _destroy(self, wait=True):\n        self.__run_thread(wait, self.destroyer)\n\n    def __run_thread(self, wait, task: _ThreadTask):\n        if not task.thread:\n            task.thread = (_Immediate if wait else threading.Thread)(target=task.target)\n            task.thread.start()\n\n        if wait:\n            task.silent = True\n            task.thread.join()\n            exc, task.exc = task.exc, None\n            if exc:\n                raise exc\n\n    def __make_config(self):\n        with open(self.__base_config) as inp:\n            config = yaml.safe_load(inp.read())\n\n        # cluster and provider details\n        config[\"cluster_name\"] = self.cluster_name\n        config[\"min_workers\"] = self.worker_count\n        config[\"max_workers\"] = self.worker_count\n        config[\"initial_workers\"] = self.worker_count\n        config[\"provider\"][\"type\"] = self.provider.name\n        if self.provider.region:\n            config[\"provider\"][\"region\"] = self.provider.region\n        if self.provider.zone:\n            config[\"provider\"][\"availability_zone\"] = self.provider.zone\n\n        # connection details\n        config[\"auth\"][\"ssh_user\"] = \"ubuntu\"\n        socks_proxy_cmd = _get_ssh_proxy_command()\n        if socks_proxy_cmd:\n            config[\"auth\"][\"ssh_proxy_command\"] = socks_proxy_cmd\n\n        # instance types\n        try:\n            instance_key = self.__instance_key[self.provider.name]\n            image_key = self.__image_key[self.provider.name]\n        except KeyError:\n            raise ValueError(f\"Unsupported provider: {self.provider.name}\")\n\n        config[\"head_node\"][instance_key] = self.head_node_type\n        config[\"head_node\"][image_key] = self.provider.image\n        config[\"worker_nodes\"][instance_key] = self.worker_node_type\n        config[\"worker_nodes\"][image_key] = self.provider.image\n\n        return _bootstrap_config(config)\n\n    @staticmethod\n    def __save_config(config):\n        cfgdir = os.path.abspath(os.path.expanduser(\"~/.modin/cloud\"))\n        os.makedirs(cfgdir, mode=0o700, exist_ok=True)\n        namehash = sha1(repr(config).encode(\"utf8\")).hexdigest()[:8]\n        entry = os.path.join(cfgdir, f\"config-{namehash}.yml\")\n\n        with open(entry, \"w\") as out:\n            out.write(yaml.dump(config))\n        return entry\n\n    def __do_spawn(self):\n        try:\n            create_or_update_cluster(\n                self.config_file,\n                override_min_workers=None,\n                override_max_workers=None,\n                no_restart=False,\n                restart_only=False,\n                yes=True,\n                override_cluster_name=None,\n                no_config_cache=False,\n                log_old_style=False,\n                log_color=\"auto\",\n                verbose=1,\n            )\n            # need to re-load the config, as create_or_update_cluster() modifies it\n            with open(self.config_file) as inp:\n                self.config = yaml.safe_load(inp.read())\n            self.ready = True\n        except BaseException as ex:\n            self.spawner.exc = CannotSpawnCluster(\n                \"Cannot spawn cluster\", cause=ex, traceback=traceback.format_exc()\n            )\n            if not self.spawner.silent:\n                sys.stderr.write(f\"Cannot spawn cluster:\\n{traceback.format_exc()}\\n\")\n\n    def __do_destroy(self):\n        try:\n            teardown_cluster(\n                self.config_file,\n                yes=True,\n                workers_only=False,\n                override_cluster_name=None,\n                keep_min_workers=0,\n                log_old_style=False,\n                log_color=\"auto\",\n                verbose=1,\n            )\n            self.ready = False\n            self.config = None\n        except BaseException as ex:\n            self.destroyer.exc = CannotDestroyCluster(\n                \"Cannot destroy cluster\", cause=ex, traceback=traceback.format_exc()\n            )\n            if not self.destroyer.silent:\n                sys.stderr.write(f\"Cannot destroy cluster:\\n{traceback.format_exc()}\\n\")\n\n    def _get_connection_details(self) -> ConnectionDetails:\n        \"\"\"\n        Gets the coordinates on how to connect to cluster frontend node.\n        \"\"\"\n        assert self.ready, \"Cluster is not ready, cannot get connection details\"\n        return ConnectionDetails(\n            user_name=self.config[\"auth\"][\"ssh_user\"],\n            key_file=self.config[\"auth\"][\"ssh_private_key\"],\n            address=get_head_node_ip(self.config_file, override_cluster_name=None),\n        )\n\n    def _get_main_python(self) -> str:\n        \"\"\"\n        Gets the path to 'main' interpreter (the one that houses created environment for running everything)\n        \"\"\"\n        return \"~/miniconda/envs/modin/bin/python\"\n", "path": "modin/experimental/cloud/rayscale.py"}], "after_files": [{"content": "# Licensed to Modin Development Team under one or more contributor license agreements.\n# See the NOTICE file distributed with this work for additional information regarding\n# copyright ownership.  The Modin Development Team licenses this file to you under the\n# Apache License, Version 2.0 (the \"License\"); you may not use this file except in\n# compliance 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, software distributed under\n# the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF\n# ANY KIND, either express or implied. See the License for the specific language\n# governing permissions and limitations under the License.\n\nimport threading\nimport os\nimport traceback\nimport sys\nfrom hashlib import sha1\nfrom typing import Callable\n\nimport yaml\nfrom ray.autoscaler.commands import (\n    create_or_update_cluster,\n    teardown_cluster,\n    get_head_node_ip,\n    _bootstrap_config,\n)\n\nfrom .base import (\n    CannotSpawnCluster,\n    CannotDestroyCluster,\n    ConnectionDetails,\n    _get_ssh_proxy_command,\n)\nfrom .cluster import BaseCluster, Provider\n\n\nclass _ThreadTask:\n    def __init__(self, target: Callable):\n        self.target = target\n        self.thread: threading.Thread = None\n        self.exc: Exception = None\n        self.silent = False\n\n\nclass _Immediate:\n    def __init__(self, target: Callable):\n        self.target = target\n\n    def start(self):\n        self.target()\n\n    def join(self):\n        pass\n\n\nclass RayCluster(BaseCluster):\n    target_engine = \"Cloudray\"\n    target_partition = \"Pandas\"\n\n    __base_config = os.path.join(\n        os.path.abspath(os.path.dirname(__file__)), \"ray-autoscaler.yml\"\n    )\n    __instance_key = {Provider.AWS: \"InstanceType\"}\n    __image_key = {Provider.AWS: \"ImageId\"}\n    __credentials_env = {Provider.AWS: \"AWS_SHARED_CREDENTIALS_FILE\"}\n\n    def __init__(self, *a, **kw):\n        self.spawner = _ThreadTask(self.__do_spawn)\n        self.destroyer = _ThreadTask(self.__do_destroy)\n\n        self.ready = False\n        super().__init__(*a, **kw)\n\n        if self.provider.credentials_file is not None:\n            try:\n                config_key = self.__credentials_env[self.provider.name]\n            except KeyError:\n                raise ValueError(f\"Unsupported provider: {self.provider.name}\")\n            os.environ[config_key] = self.provider.credentials_file\n\n        self.config = self.__make_config()\n        self.config_file = self.__save_config(self.config)\n\n    def _spawn(self, wait=True):\n        self.__run_thread(wait, self.spawner)\n\n    def _destroy(self, wait=True):\n        self.__run_thread(wait, self.destroyer)\n\n    def __run_thread(self, wait, task: _ThreadTask):\n        if not task.thread:\n            task.thread = (_Immediate if wait else threading.Thread)(target=task.target)\n            task.thread.start()\n\n        if wait:\n            task.silent = True\n            task.thread.join()\n            exc, task.exc = task.exc, None\n            if exc:\n                raise exc\n\n    def __make_config(self):\n        with open(self.__base_config) as inp:\n            config = yaml.safe_load(inp.read())\n\n        # cluster and provider details\n        config[\"cluster_name\"] = self.cluster_name\n        config[\"min_workers\"] = self.worker_count\n        config[\"max_workers\"] = self.worker_count\n        config[\"initial_workers\"] = self.worker_count\n        config[\"provider\"][\"type\"] = self.provider.name\n        if self.provider.region:\n            config[\"provider\"][\"region\"] = self.provider.region\n        if self.provider.zone:\n            config[\"provider\"][\"availability_zone\"] = self.provider.zone\n\n        # connection details\n        config[\"auth\"][\"ssh_user\"] = \"ubuntu\"\n        socks_proxy_cmd = _get_ssh_proxy_command()\n        if socks_proxy_cmd:\n            config[\"auth\"][\"ssh_proxy_command\"] = socks_proxy_cmd\n\n        # instance types\n        try:\n            instance_key = self.__instance_key[self.provider.name]\n            image_key = self.__image_key[self.provider.name]\n        except KeyError:\n            raise ValueError(f\"Unsupported provider: {self.provider.name}\")\n\n        config[\"head_node\"][instance_key] = self.head_node_type\n        config[\"head_node\"][image_key] = self.provider.image\n        config[\"worker_nodes\"][instance_key] = self.worker_node_type\n        config[\"worker_nodes\"][image_key] = self.provider.image\n\n        # NOTE: setup_commands may be list with several sets of shell commands\n        # this change only first set defining the remote environment\n        res = self._update_conda_requirements(config[\"setup_commands\"][0])\n        config[\"setup_commands\"][0] = res\n\n        return _bootstrap_config(config)\n\n    @classmethod\n    def _conda_requirements(cls):\n        reqs = []\n\n        reqs.append(f\"python=={cls._get_python_version()}\")\n\n        return reqs\n\n    @classmethod\n    def _update_conda_requirements(cls, setup_commands: str):\n        return setup_commands.replace(\n            \"{{CONDA_PACKAGES}}\", \" \".join(cls._conda_requirements())\n        )\n\n    @staticmethod\n    def _get_python_version():\n        major = sys.version_info.major\n        minor = sys.version_info.minor\n        micro = sys.version_info.micro\n        return f\"{major}.{minor}.{micro}\"\n\n    @staticmethod\n    def __save_config(config):\n        cfgdir = os.path.abspath(os.path.expanduser(\"~/.modin/cloud\"))\n        os.makedirs(cfgdir, mode=0o700, exist_ok=True)\n        namehash = sha1(repr(config).encode(\"utf8\")).hexdigest()[:8]\n        entry = os.path.join(cfgdir, f\"config-{namehash}.yml\")\n\n        with open(entry, \"w\") as out:\n            out.write(yaml.dump(config))\n        return entry\n\n    def __do_spawn(self):\n        try:\n            create_or_update_cluster(\n                self.config_file,\n                override_min_workers=None,\n                override_max_workers=None,\n                no_restart=False,\n                restart_only=False,\n                yes=True,\n                override_cluster_name=None,\n                no_config_cache=False,\n                log_old_style=False,\n                log_color=\"auto\",\n                verbose=1,\n            )\n            # need to re-load the config, as create_or_update_cluster() modifies it\n            with open(self.config_file) as inp:\n                self.config = yaml.safe_load(inp.read())\n            self.ready = True\n        except BaseException as ex:\n            self.spawner.exc = CannotSpawnCluster(\n                \"Cannot spawn cluster\", cause=ex, traceback=traceback.format_exc()\n            )\n            if not self.spawner.silent:\n                sys.stderr.write(f\"Cannot spawn cluster:\\n{traceback.format_exc()}\\n\")\n\n    def __do_destroy(self):\n        try:\n            teardown_cluster(\n                self.config_file,\n                yes=True,\n                workers_only=False,\n                override_cluster_name=None,\n                keep_min_workers=0,\n                log_old_style=False,\n                log_color=\"auto\",\n                verbose=1,\n            )\n            self.ready = False\n            self.config = None\n        except BaseException as ex:\n            self.destroyer.exc = CannotDestroyCluster(\n                \"Cannot destroy cluster\", cause=ex, traceback=traceback.format_exc()\n            )\n            if not self.destroyer.silent:\n                sys.stderr.write(f\"Cannot destroy cluster:\\n{traceback.format_exc()}\\n\")\n\n    def _get_connection_details(self) -> ConnectionDetails:\n        \"\"\"\n        Gets the coordinates on how to connect to cluster frontend node.\n        \"\"\"\n        assert self.ready, \"Cluster is not ready, cannot get connection details\"\n        return ConnectionDetails(\n            user_name=self.config[\"auth\"][\"ssh_user\"],\n            key_file=self.config[\"auth\"][\"ssh_private_key\"],\n            address=get_head_node_ip(self.config_file, override_cluster_name=None),\n        )\n\n    def _get_main_python(self) -> str:\n        \"\"\"\n        Gets the path to 'main' interpreter (the one that houses created environment for running everything)\n        \"\"\"\n        return \"~/miniconda/envs/modin/bin/python\"\n", "path": "modin/experimental/cloud/rayscale.py"}]}