chore: import upstream snapshot with attribution

python/zvec/__init__.pyi

@@ -0,0 +1,202 @@
+"""
+Zvec core module
+"""
+
+from __future__ import annotations
+
+import collections
+
+from . import typing
+from .extension import ReRanker, RrfReRanker, WeightedReRanker
+from .extension.embedding import DenseEmbeddingFunction
+from .model import param, schema
+from .model.collection import Collection
+from .model.doc import Doc, DocList
+from .model.param import (
+    AddColumnOption,
+    AlterColumnOption,
+    CollectionOption,
+    DiskAnnIndexParam,
+    DiskAnnQueryParam,
+    FlatIndexParam,
+    FtsIndexParam,
+    FtsQueryParam,
+    HnswIndexParam,
+    HnswQueryParam,
+    HnswRabitqIndexParam,
+    HnswRabitqQueryParam,
+    IndexOption,
+    InvertIndexParam,
+    IVFIndexParam,
+    IVFQueryParam,
+    OptimizeOption,
+    QuantizerParam,
+    VamanaIndexParam,
+    VamanaQueryParam,
+)
+from .model.param.query import Fts, Query, VectorQuery
+from .model.schema import CollectionSchema, CollectionStats, FieldSchema, VectorSchema
+from .tool import require_module
+from .typing import (
+    DataType,
+    IndexType,
+    MetricType,
+    QuantizeType,
+    Status,
+    StatusCode,
+)
+from .typing.enum import LogLevel, LogType
+from .zvec import create_and_open, init, open
+
+__all__: list = [
+    "AddColumnOption",
+    "AlterColumnOption",
+    "Collection",
+    "CollectionOption",
+    "CollectionSchema",
+    "CollectionStats",
+    "DataType",
+    "DenseEmbeddingFunction",
+    "DiskAnnIndexParam",
+    "DiskAnnQueryParam",
+    "Doc",
+    "DocList",
+    "FieldSchema",
+    "FlatIndexParam",
+    "Fts",
+    "FtsIndexParam",
+    "FtsQueryParam",
+    "HnswIndexParam",
+    "HnswQueryParam",
+    "HnswRabitqIndexParam",
+    "HnswRabitqQueryParam",
+    "IVFIndexParam",
+    "IVFQueryParam",
+    "IndexOption",
+    "IndexType",
+    "InvertIndexParam",
+    "LogLevel",
+    "LogType",
+    "MetricType",
+    "OptimizeOption",
+    "QuantizeType",
+    "QuantizerParam",
+    "Query",
+    "ReRanker",
+    "RrfReRanker",
+    "Status",
+    "StatusCode",
+    "VamanaIndexParam",
+    "VamanaQueryParam",
+    "VectorQuery",
+    "VectorSchema",
+    "WeightedReRanker",
+    "create_and_open",
+    "init",
+    "open",
+    "require_module",
+]
+
+class _Collection:
+    @staticmethod
+    def CreateAndOpen(
+        arg0: str, arg1: schema._CollectionSchema, arg2: param.CollectionOption
+    ) -> _Collection: ...
+    @staticmethod
+    def Open(arg0: str, arg1: param.CollectionOption) -> _Collection: ...
+    def AddColumn(
+        self,
+        arg0: schema._FieldSchema,
+        arg1: str,
+        arg2: param.AddColumnOption,
+    ) -> None: ...
+    def AlterColumn(
+        self,
+        arg0: str,
+        arg1: str,
+        arg2: schema._FieldSchema,
+        arg3: param.AlterColumnOption,
+    ) -> None: ...
+    def CreateIndex(
+        self, arg0: str, arg1: param.IndexParam, arg2: param.IndexOption
+    ) -> None: ...
+    def Delete(self, arg0: collections.abc.Sequence[str]) -> list[typing.Status]: ...
+    def DeleteByFilter(self, arg0: str) -> None: ...
+    def Destroy(self) -> None: ...
+    def DropColumn(self, arg0: str) -> None: ...
+    def DropIndex(self, arg0: str) -> None: ...
+    def Fetch(
+        self,
+        pks: collections.abc.Sequence[str],
+        output_fields: list[str] | None = None,
+        include_vector: bool = True,
+    ) -> dict[str, _Doc]: ...
+    def Flush(self) -> None: ...
+    def GroupByQuery(self, arg0: ...) -> list[...]: ...
+    def Insert(self, arg0: collections.abc.Sequence[_Doc]) -> list[typing.Status]: ...
+    def Optimize(self, arg0: param.OptimizeOption) -> None: ...
+    def Options(self) -> param.CollectionOption: ...
+    def Path(self) -> str: ...
+    def Query(self, arg0: param._SearchQuery) -> list[_Doc]: ...
+    def Schema(self) -> schema._CollectionSchema: ...
+    def Stats(self) -> schema.CollectionStats: ...
+    def Update(self, arg0: collections.abc.Sequence[_Doc]) -> list[typing.Status]: ...
+    def Upsert(self, arg0: collections.abc.Sequence[_Doc]) -> list[typing.Status]: ...
+    def _debug_hnsw_storage_mode(self, column_name: str) -> str:
+        """Debug-only: returns the storage mode of the HNSW entity on the
+        given vector column. One of 'mmap', 'buffer_pool', 'contiguous'.
+        Raises KeyError if no HNSW index exists on the column, or
+        ValueError if the column's index is not an HNSW index. Intended
+        for introspection and testing only; not part of the stable API."""
+
+    def __getstate__(self) -> tuple: ...
+    def __setstate__(self, arg0: tuple) -> None: ...
+
+class _Doc:
+    def __getstate__(self) -> bytes: ...
+    def __init__(self) -> None: ...
+    def __setstate__(self, arg0: bytes) -> None: ...
+    def field_names(self) -> list[str]: ...
+    def get_any(self, arg0: str, arg1: typing.DataType) -> typing.Any: ...
+    def has_field(self, arg0: str) -> bool: ...
+    def pk(self) -> str: ...
+    def score(self) -> float: ...
+    def set_any(self, arg0: str, arg1: typing.DataType, arg2: typing.Any) -> bool: ...
+    def set_pk(self, arg0: str) -> None: ...
+    def set_score(self, arg0: typing.SupportsFloat) -> None: ...
+
+class _DocOp:
+    """
+    Members:
+
+      INSERT
+
+      UPDATE
+
+      DELETE
+
+      UPSERT
+    """
+
+    DELETE: typing.ClassVar[_DocOp]  # value = <_DocOp.DELETE: 3>
+    INSERT: typing.ClassVar[_DocOp]  # value = <_DocOp.INSERT: 0>
+    UPDATE: typing.ClassVar[_DocOp]  # value = <_DocOp.UPDATE: 2>
+    UPSERT: typing.ClassVar[_DocOp]  # value = <_DocOp.UPSERT: 1>
+    __members__: typing.ClassVar[
+        dict[str, _DocOp]
+    ]  # value = {'INSERT': <_DocOp.INSERT: 0>, 'UPDATE': <_DocOp.UPDATE: 2>, 'DELETE': <_DocOp.DELETE: 3>, 'UPSERT': <_DocOp.UPSERT: 1>}
+
+    def __eq__(self, other: typing.Any) -> bool: ...
+    def __getstate__(self) -> int: ...
+    def __hash__(self) -> int: ...
+    def __index__(self) -> int: ...
+    def __init__(self, value: typing.SupportsInt) -> None: ...
+    def __int__(self) -> int: ...
+    def __ne__(self, other: typing.Any) -> bool: ...
+    def __repr__(self) -> str: ...
+    def __setstate__(self, state: typing.SupportsInt) -> None: ...
+    def __str__(self) -> str: ...
+    @property
+    def name(self) -> str: ...
+    @property
+    def value(self) -> int: ...