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Only import type hint packages for type checking. Avoids circular imports

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Use annotations from the __future__ package to avoid having to quote
type hints. This import will not be required after Python 3.11
This commit is contained in:
Debanjum Singh Solanky
2023-01-09 18:37:50 -03:00
parent e5254a8e56
commit db7483329c
2 changed files with 20 additions and 15 deletions
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12
src/utils/config.py
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@@ -1,15 +1,19 @@
# System Packages
from __future__ import annotations # to avoid quoting type hints
from enum import Enum
from dataclasses import dataclass
from pathlib import Path
from typing import TYPE_CHECKING
# External Packages
import torch
# Internal Packages
from src.utils.rawconfig import ConversationProcessorConfig, Entry
from src.search_filter.base_filter import BaseFilter
from src.utils.models import BaseEncoder
if TYPE_CHECKING:
from sentence_transformers import CrossEncoder
from src.search_filter.base_filter import BaseFilter
from src.utils.models import BaseEncoder
from src.utils.rawconfig import ConversationProcessorConfig, Entry
class SearchType(str, Enum):
@@ -25,7 +29,7 @@ class ProcessorType(str, Enum):
class TextSearchModel():
def __init__(self, entries: list[Entry], corpus_embeddings: torch.Tensor, bi_encoder: BaseEncoder, cross_encoder, filters: list[BaseFilter], top_k):
def __init__(self, entries: list[Entry], corpus_embeddings: torch.Tensor, bi_encoder: BaseEncoder, cross_encoder: CrossEncoder, filters: list[BaseFilter], top_k):
self.entries = entries
self.corpus_embeddings = corpus_embeddings
self.bi_encoder = bi_encoder

23
src/utils/helpers.py
View File

@@ -1,17 +1,18 @@
# Standard Packages
from pathlib import Path
from importlib import import_module
import sys
from os.path import join
from collections import OrderedDict
from typing import Optional, Union
from __future__ import annotations # to avoid quoting type hints
import logging
import sys
from collections import OrderedDict
from importlib import import_module
from os.path import join
from pathlib import Path
from typing import Optional, Union, TYPE_CHECKING
# External Packages
from sentence_transformers import CrossEncoder
# Internal Packages
from src.utils.models import BaseEncoder
if TYPE_CHECKING:
# External Packages
from sentence_transformers import CrossEncoder
# Internal Packages
from src.utils.models import BaseEncoder
def is_none_or_empty(item):