Christoph Eder
3932d07846
Trying manual schema implementation
Changes in embedding.py
Removed deprecated import
24 lines
839 B
Python
24 lines
839 B
Python
from __future__ import annotations
|
|
from dataclasses import dataclass
|
|
import numpy as np
|
|
from pydantic_tensor import Tensor
|
|
import torch
|
|
from typing import Any, Literal
|
|
|
|
|
|
@dataclass(frozen=True)
|
|
class Embedding:
|
|
data: Tensor[torch.Tensor | np.ndarray[Any, Any], tuple, Literal["int32", "int64"]]
|
|
|
|
def compare(self, other: Embedding) -> float:
|
|
"""
|
|
Compare this embedding with another embedding.
|
|
"""
|
|
if isinstance(self.data, np.ndarray) and isinstance(other.data, np.ndarray):
|
|
# Simple example: L2 distance (Euclidean distance)
|
|
return np.linalg.norm(self.data - other.data)
|
|
|
|
# Fallback or error if not implemented for other types (e.g., torch.Tensor)
|
|
raise NotImplementedError(
|
|
"Comparison must be implemented for all supported data types."
|
|
) |