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Only import type hint packages for type checking. Avoids circular imports
Use annotations from the __future__ package to avoid having to quote type hints. This import will not be required after Python 3.11
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2 changed files with 20 additions and 15 deletions
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@ -1,15 +1,19 @@
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# System Packages
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from __future__ import annotations # to avoid quoting type hints
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from enum import Enum
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from dataclasses import dataclass
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from pathlib import Path
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from typing import TYPE_CHECKING
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# External Packages
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import torch
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# Internal Packages
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from src.utils.rawconfig import ConversationProcessorConfig, Entry
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from src.search_filter.base_filter import BaseFilter
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from src.utils.models import BaseEncoder
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if TYPE_CHECKING:
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from sentence_transformers import CrossEncoder
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from src.search_filter.base_filter import BaseFilter
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from src.utils.models import BaseEncoder
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from src.utils.rawconfig import ConversationProcessorConfig, Entry
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class SearchType(str, Enum):
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@ -25,7 +29,7 @@ class ProcessorType(str, Enum):
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class TextSearchModel():
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def __init__(self, entries: list[Entry], corpus_embeddings: torch.Tensor, bi_encoder: BaseEncoder, cross_encoder, filters: list[BaseFilter], top_k):
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def __init__(self, entries: list[Entry], corpus_embeddings: torch.Tensor, bi_encoder: BaseEncoder, cross_encoder: CrossEncoder, filters: list[BaseFilter], top_k):
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self.entries = entries
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self.corpus_embeddings = corpus_embeddings
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self.bi_encoder = bi_encoder
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@ -1,17 +1,18 @@
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# Standard Packages
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from pathlib import Path
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from importlib import import_module
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import sys
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from os.path import join
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from collections import OrderedDict
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from typing import Optional, Union
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from __future__ import annotations # to avoid quoting type hints
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import logging
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import sys
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from collections import OrderedDict
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from importlib import import_module
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from os.path import join
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from pathlib import Path
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from typing import Optional, Union, TYPE_CHECKING
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# External Packages
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from sentence_transformers import CrossEncoder
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# Internal Packages
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from src.utils.models import BaseEncoder
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if TYPE_CHECKING:
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# External Packages
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from sentence_transformers import CrossEncoder
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# Internal Packages
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from src.utils.models import BaseEncoder
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def is_none_or_empty(item):
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