from typing import List
import numpy as np
from ..base import BaseTextEncoder
from ...helper import batching, as_numpy_array
[docs]class CharEmbeddingEncoder(BaseTextEncoder):
"""A random character embedding model. Only useful for testing"""
is_trained = True
def __init__(self, dim: int = 128, *args, **kwargs):
super().__init__(*args, **kwargs)
self.dim = dim
self.offset = 32
self.unknown_idx = 96
# in total 96 printable chars and 2 special chars = 98
self._char_embedding = np.random.random([97, dim])
[docs] @batching
@as_numpy_array
def encode(self, text: List[str], *args, **kwargs) -> List[np.ndarray]:
# tokenize text
sent_embed = []
for sent in text:
ids = [ord(c) - 32 if 32 <= ord(c) <= 127 else self.unknown_idx for c in sent]
sent_embed.append(np.mean(self._char_embedding[ids], axis=0))
return sent_embed