Download harness/adapters/base.py from Daniel01410/microtensor_ctx_compress: direct link, hf CLI and curl.
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https://huggingface.co/Daniel01410/microtensor_ctx_compress/resolve/main/harness/adapters/base.py
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1.95 kB
| from __future__ import annotations | |
| import json | |
| import re | |
| from dataclasses import dataclass | |
| from pathlib import Path | |
| from typing import Any | |
| _FENCE = re.compile(r"```[a-zA-Z]*") | |
| class Verdict: | |
| ok: bool | |
| answer: Any | |
| reason: str = "" | |
| class SafeDict(dict): | |
| def __missing__(self, key: str) -> str: | |
| return "" | |
| def strip_fences(text: str) -> str: | |
| return _FENCE.sub("\n", text).strip() | |
| def fields_of(task: dict[str, Any]) -> str: | |
| lines = [] | |
| for key, value in task.items(): | |
| body = value if isinstance(value, str) else json.dumps(value, ensure_ascii=False) | |
| lines.append(f"{key}: {body}") | |
| return "\n".join(lines) | |
| class Adapter: | |
| name = "generic" | |
| stop: list[str] = ["\n\n\n"] | |
| def render(self, prompts: Path, kind: str, task: dict[str, Any], **extra: Any) -> str: | |
| template = (prompts / self.name / f"{kind}.txt").read_text(encoding="utf-8") | |
| values = SafeDict(task_json=json.dumps(task, ensure_ascii=False), fields=fields_of(task)) | |
| values.update({k: v for k, v in task.items() if isinstance(v, str | int | float)}) | |
| values.update({k: (v if isinstance(v, str) else json.dumps(v)) for k, v in extra.items()}) | |
| return template.format_map(values) | |
| def query(self, task: dict[str, Any]) -> str: | |
| for key in ("question", "prompt", "input", "text", "instruction"): | |
| if isinstance(task.get(key), str): | |
| return str(task[key]) | |
| return fields_of(task) | |
| def clean(self, text: str) -> str: | |
| return strip_fences(text) | |
| def verify(self, text: str, task: dict[str, Any], tools_url: str) -> Verdict: | |
| answer = self.clean(text) | |
| if not answer: | |
| return Verdict(False, "", "empty answer") | |
| return Verdict(True, answer) | |
| def as_text(self, answer: Any) -> str: | |
| return answer if isinstance(answer, str) else json.dumps(answer, ensure_ascii=False) | |