Download data/environments/nr_geometry_notes/environment.py from sxcn/HERA-Bench: direct link, hf CLI and curl.
- Browser
- Download file 2.09 kB
-
https://huggingface.co/datasets/sxcn/HERA-Bench/resolve/main/data/environments/nr_geometry_notes/environment.py
- Command line
-
hf download hf://datasets/sxcn/HERA-Bench/data/environments/nr_geometry_notes/environment.py
-
curl -L -o environment.py https://huggingface.co/datasets/sxcn/HERA-Bench/resolve/main/data/environments/nr_geometry_notes/environment.py
2.09 kB
| """Native MCP adapter. Build binds ENV_NAME and the immutable public tool set.""" | |
| from copy import deepcopy | |
| import json | |
| import threading | |
| from typing import Any,Callable | |
| from fastmcp.tools import Tool | |
| from fastmcp.tools.tool import ToolResult | |
| from pydantic import Field | |
| from hera_environment import BaseEnvironment | |
| from .native_runtime import descriptors,transition | |
| ENV_NAME='nr_geometry_notes' | |
| class _RecordTool(Tool): | |
| fn:Callable[...,Any]=Field(exclude=True) | |
| async def run(self,arguments:dict[str,Any])->ToolResult: | |
| observation=self.fn(**arguments) | |
| return ToolResult(content=json.dumps(observation,ensure_ascii=False),structured_content=observation,is_error=not observation['ok']) | |
| class Environment(BaseEnvironment): | |
| env_name=ENV_NAME | |
| short_name=ENV_NAME.removeprefix('nr_').replace('_',' ').title() | |
| always_skip_fields=set() | |
| mutation_tools=set() | |
| mutation_id_fields=set() | |
| def _load_state(self,initial_state):return deepcopy(initial_state) | |
| def get_empty_state(cls):return {'clock':'2000-01-01T00:00:00Z','collections':{},'effects':[],'next_effect_id':1} | |
| def get_example_state(cls):return cls.get_empty_state() | |
| def get_state_schema(cls):return {'type':'object'} | |
| def _register_tools(self): | |
| self._lock=threading.Lock() | |
| self.tool_kinds={t['name']:'lookup' if t['read_only'] else 'commit' for t in descriptors(self.state)} | |
| for item in descriptors(self.state): | |
| def bind(name): | |
| def invoke(**args):return self._invoke(name,args) | |
| return invoke | |
| self.mcp.add_tool(_RecordTool(name=item['name'],description=item['description'],parameters=item['input_schema'],fn=bind(item['name']))) | |
| def _invoke(self,name,args): | |
| with self._lock: | |
| result=transition(self.state,name,args);self.state=result['state'];out=result['observation'] | |
| self._log_tool_call(name,deepcopy(args),deepcopy(out),success=out['ok'],error=None if out['ok'] else json.dumps(out['error'])) | |
| return out | |