34 lines
1.2 KiB
Python
34 lines
1.2 KiB
Python
# Copyright 2025-present the zvec project
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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from typing import Optional, TypeVar, Union
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import numpy as np
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# VectorType: DenseVectorType | SparseVectorType
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DenseVectorType = Union[list[float], list[int], np.ndarray]
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SparseVectorType = dict[int, float]
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VectorType = Optional[Union[DenseVectorType, SparseVectorType]]
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# Embeddable: Text | Image | Audio
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TEXT = str
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IMAGE = Union[str, bytes, np.ndarray] # file path, raw bytes, or numpy array
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AUDIO = Union[str, bytes, np.ndarray] # file path, raw bytes, or numpy array
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Embeddable = Optional[Union[TEXT, IMAGE, AUDIO]]
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# Multimodal Embeddable
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MD = TypeVar("MD", bound=Embeddable, contravariant=True)
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