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platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/qdrant_client/local/__pycache__/local_collection.cpython-312.pyc

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0699ba907a98774436919cc12434144f29276d982303d837bec80896ed1ac1f6
+size 117154

platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/qdrant_client/local/tests/test_datetimes.py

@@ -0,0 +1,57 @@
+from datetime import datetime, timedelta, timezone
+
+import pytest
+
+from qdrant_client.local.datetime_utils import parse
+
+
+@pytest.mark.parametrize(  # type: ignore
+    "date_str, expected",
+    [
+        ("2021-01-01T00:00:00", datetime(2021, 1, 1, 0, 0, 0, tzinfo=timezone.utc)),
+        ("2021-01-01T00:00:00Z", datetime(2021, 1, 1, 0, 0, 0, tzinfo=timezone.utc)),
+        ("2021-01-01T00:00:00+00:00", datetime(2021, 1, 1, 0, 0, 0, tzinfo=timezone.utc)),
+        ("2021-01-01T00:00:00.000000", datetime(2021, 1, 1, 0, 0, 0, tzinfo=timezone.utc)),
+        ("2021-01-01T00:00:00.000000Z", datetime(2021, 1, 1, 0, 0, 0, tzinfo=timezone.utc)),
+        (
+            "2021-01-01T00:00:00.000000+01:00",
+            datetime(2021, 1, 1, 0, 0, 0, tzinfo=timezone(timedelta(hours=1))),
+        ),
+        (
+            "2021-01-01T00:00:00.000000-10:00",
+            datetime(2021, 1, 1, 0, 0, 0, tzinfo=timezone(timedelta(hours=-10))),
+        ),
+        ("2021-01-01", datetime(2021, 1, 1, 0, 0, 0, tzinfo=timezone.utc)),
+        ("2021-01-01 00:00:00", datetime(2021, 1, 1, 0, 0, 0, tzinfo=timezone.utc)),
+        ("2021-01-01 00:00:00Z", datetime(2021, 1, 1, 0, 0, 0, tzinfo=timezone.utc)),
+        (
+            "2021-01-01 00:00:00+0200",
+            datetime(2021, 1, 1, 0, 0, 0, tzinfo=timezone(timedelta(hours=2))),
+        ),
+        ("2021-01-01 00:00:00.000000", datetime(2021, 1, 1, 0, 0, 0, tzinfo=timezone.utc)),
+        ("2021-01-01 00:00:00.000000Z", datetime(2021, 1, 1, 0, 0, 0, tzinfo=timezone.utc)),
+        (
+            "2021-01-01 00:00:00.000000+00:30",
+            datetime(2021, 1, 1, 0, 0, 0, tzinfo=timezone(timedelta(minutes=30))),
+        ),
+        (
+            "2021-01-01 00:00:00.000009+00:30",
+            datetime(2021, 1, 1, 0, 0, 0, 9, tzinfo=timezone(timedelta(minutes=30))),
+        ),
+        # this is accepted in core but not here, there is no specifier for only-hour offset
+        (
+            "2021-01-01 00:00:00.000+01",
+            datetime(2021, 1, 1, 0, 0, 0, tzinfo=timezone(timedelta(hours=1))),
+        ),
+        (
+            "2021-01-01 00:00:00.000-10",
+            datetime(2021, 1, 1, 0, 0, 0, tzinfo=timezone(timedelta(hours=-10))),
+        ),
+        (
+            "2021-01-01 00:00:00-03:00",
+            datetime(2021, 1, 1, 0, 0, 0, tzinfo=timezone(timedelta(hours=-3))),
+        ),
+    ],
+)
+def test_parse_dates(date_str: str, expected: datetime):
+    assert parse(date_str) == expected

platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/qdrant_client/local/tests/test_distances.py

@@ -0,0 +1,57 @@
+import numpy as np
+
+from qdrant_client.http import models
+from qdrant_client.local.distances import calculate_distance
+from qdrant_client.local.multi_distances import calculate_multi_distance
+from qdrant_client.local.sparse_distances import calculate_distance_sparse
+
+
+def test_distances() -> None:
+    query = np.array([1.0, 2.0, 3.0])
+    vectors = np.array([[1.0, 2.0, 3.0], [1.0, 2.0, 3.0]])
+    assert np.allclose(calculate_distance(query, vectors, models.Distance.DOT), [14.0, 14.0])
+    assert np.allclose(calculate_distance(query, vectors, models.Distance.EUCLID), [0.0, 0.0])
+    assert np.allclose(calculate_distance(query, vectors, models.Distance.MANHATTAN), [0.0, 0.0])
+    # cosine modifies vectors inplace
+    assert np.allclose(calculate_distance(query, vectors, models.Distance.COSINE), [1.0, 1.0])
+
+    query = np.array([1.0, 0.0, 1.0])
+    vectors = np.array([[1.0, 2.0, 3.0], [0.0, 1.0, 0.0]])
+
+    assert np.allclose(
+        calculate_distance(query, vectors, models.Distance.DOT), [4.0, 0.0], atol=0.0001
+    )
+    assert np.allclose(
+        calculate_distance(query, vectors, models.Distance.EUCLID),
+        [2.82842712, 1.7320508],
+        atol=0.0001,
+    )
+
+    assert np.allclose(
+        calculate_distance(query, vectors, models.Distance.MANHATTAN),
+        [4.0, 3.0],
+        atol=0.0001,
+    )
+    # cosine modifies vectors inplace
+    assert np.allclose(
+        calculate_distance(query, vectors, models.Distance.COSINE),
+        [0.75592895, 0.0],
+        atol=0.0001,
+    )
+
+    sparse_query = models.SparseVector(indices=[1, 2], values=[1, 2])
+    sparse_vectors = [models.SparseVector(indices=[10, 20], values=[1, 2])]
+
+    assert calculate_distance_sparse(sparse_query, sparse_vectors) == [np.float32("-inf")]
+
+    sparse_vectors = [
+        models.SparseVector(indices=[1, 2], values=[3, 4]),
+        models.SparseVector(indices=[1, 2, 3], values=[1, 2, 3]),
+    ]
+    assert np.allclose(
+        calculate_distance_sparse(sparse_query, sparse_vectors), [11.0, 5], atol=0.0001
+    )
+
+    multivector_query = np.array([[1, 2, 3], [3, 4, 5]])
+    docs = [np.array([[1, 2, 3], [0, 1, 2]])]
+    assert calculate_multi_distance(multivector_query, docs, models.Distance.DOT)[0] == 40.0

platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/qdrant_client/local/tests/test_payload_filters.py

@@ -0,0 +1,189 @@
+from qdrant_client.http.models import models
+from qdrant_client.local.payload_filters import check_filter
+
+
+def test_nested_payload_filters():
+    payload = {
+        "country": {
+            "name": "Germany",
+            "capital": "Berlin",
+            "cities": [
+                {
+                    "name": "Berlin",
+                    "population": 3.7,
+                    "location": {
+                        "lon": 13.76116,
+                        "lat": 52.33826,
+                    },
+                    "sightseeing": ["Brandenburg Gate", "Reichstag"],
+                },
+                {
+                    "name": "Munich",
+                    "population": 1.5,
+                    "location": {
+                        "lon": 11.57549,
+                        "lat": 48.13743,
+                    },
+                    "sightseeing": ["Marienplatz", "Olympiapark"],
+                },
+                {
+                    "name": "Hamburg",
+                    "population": 1.8,
+                    "location": {
+                        "lon": 9.99368,
+                        "lat": 53.55108,
+                    },
+                    "sightseeing": ["Reeperbahn", "Elbphilharmonie"],
+                },
+            ],
+        }
+    }
+
+    query = models.Filter(
+        **{
+            "must": [
+                {
+                    "nested": {
+                        "key": "country.cities",
+                        "filter": {
+                            "must": [
+                                {
+                                    "key": "population",
+                                    "range": {
+                                        "gte": 1.0,
+                                    },
+                                }
+                            ],
+                            "must_not": [{"key": "sightseeing", "values_count": {"gt": 1}}],
+                        },
+                    }
+                }
+            ]
+        }
+    )
+
+    res = check_filter(query, payload, 0, has_vector={})
+    assert res is False
+
+    query = models.Filter(
+        **{
+            "must": [
+                {
+                    "nested": {
+                        "key": "country.cities",
+                        "filter": {
+                            "must": [
+                                {
+                                    "key": "population",
+                                    "range": {
+                                        "gte": 1.0,
+                                    },
+                                }
+                            ]
+                        },
+                    }
+                }
+            ]
+        }
+    )
+
+    res = check_filter(query, payload, 0, has_vector={})
+    assert res is True
+
+    query = models.Filter(
+        **{
+            "must": [
+                {
+                    "nested": {
+                        "key": "country.cities",
+                        "filter": {
+                            "must": [
+                                {
+                                    "key": "population",
+                                    "range": {
+                                        "gte": 1.0,
+                                    },
+                                },
+                                {"key": "sightseeing", "values_count": {"gt": 2}},
+                            ]
+                        },
+                    }
+                }
+            ]
+        }
+    )
+
+    res = check_filter(query, payload, 0, has_vector={})
+    assert res is False
+
+    query = models.Filter(
+        **{
+            "must": [
+                {
+                    "nested": {
+                        "key": "country.cities",
+                        "filter": {
+                            "must": [
+                                {
+                                    "key": "population",
+                                    "range": {
+                                        "gte": 9.0,
+                                    },
+                                }
+                            ]
+                        },
+                    }
+                }
+            ]
+        }
+    )
+
+    res = check_filter(query, payload, 0, has_vector={})
+    assert res is False
+
+
+def test_geo_polygon_filter_query():
+    payload = {
+        "location": [
+            {
+                "lon": 70.0,
+                "lat": 70.0,
+            },
+        ]
+    }
+
+    query = models.Filter(
+        **{
+            "must": [
+                {
+                    "key": "location",
+                    "geo_polygon": {
+                        "exterior": {
+                            "points": [
+                                {"lon": 55.455868, "lat": 55.495862},
+                                {"lon": 86.455868, "lat": 55.495862},
+                                {"lon": 86.455868, "lat": 86.495862},
+                                {"lon": 55.455868, "lat": 86.495862},
+                                {"lon": 55.455868, "lat": 55.495862},
+                            ]
+                        },
+                    },
+                }
+            ]
+        }
+    )
+
+    res = check_filter(query, payload, 0, has_vector={})
+    assert res is True
+
+    payload = {
+        "location": [
+            {
+                "lon": 30.693738,
+                "lat": 30.502165,
+            },
+        ]
+    }
+
+    res = check_filter(query, payload, 0, has_vector={})
+    assert res is False

platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/qdrant_client/local/tests/test_payload_utils.py

@@ -0,0 +1,549 @@
+from typing import Any
+
+import pytest
+
+from qdrant_client.local.json_path_parser import (
+    JsonPathItem,
+    JsonPathItemType,
+    parse_json_path,
+)
+from qdrant_client.local.payload_value_extractor import value_by_key
+from qdrant_client.local.payload_value_setter import set_value_by_key
+
+
+def test_parse_json_path() -> None:
+    jp_key = "a"
+    keys = parse_json_path(jp_key)
+    assert keys == [JsonPathItem(item_type=JsonPathItemType.KEY, key="a")]
+
+    jp_key = "a.b"
+    keys = parse_json_path(jp_key)
+    assert keys == [
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="a"),
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="b"),
+    ]
+
+    jp_key = 'a."a[b]".c'
+    keys = parse_json_path(jp_key)
+    assert keys == [
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="a"),
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="a[b]"),
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="c"),
+    ]
+
+    jp_key = "a[0]"
+    keys = parse_json_path(jp_key)
+    assert keys == [
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="a"),
+        JsonPathItem(item_type=JsonPathItemType.INDEX, index=0),
+    ]
+
+    jp_key = "a[0].b"
+    keys = parse_json_path(jp_key)
+    assert keys == [
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="a"),
+        JsonPathItem(item_type=JsonPathItemType.INDEX, index=0),
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="b"),
+    ]
+
+    jp_key = "a[0].b[1]"
+    keys = parse_json_path(jp_key)
+    assert keys == [
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="a"),
+        JsonPathItem(item_type=JsonPathItemType.INDEX, index=0),
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="b"),
+        JsonPathItem(item_type=JsonPathItemType.INDEX, index=1),
+    ]
+
+    jp_key = "a[][]"
+    keys = parse_json_path(jp_key)
+    assert keys == [
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="a"),
+        JsonPathItem(item_type=JsonPathItemType.WILDCARD_INDEX, index=None),
+        JsonPathItem(item_type=JsonPathItemType.WILDCARD_INDEX, index=None),
+    ]
+
+    jp_key = "a[0][1]"
+    keys = parse_json_path(jp_key)
+    assert keys == [
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="a"),
+        JsonPathItem(item_type=JsonPathItemType.INDEX, index=0),
+        JsonPathItem(item_type=JsonPathItemType.INDEX, index=1),
+    ]
+
+    jp_key = "a[0][1].b"
+    keys = parse_json_path(jp_key)
+    assert keys == [
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="a"),
+        JsonPathItem(item_type=JsonPathItemType.INDEX, index=0),
+        JsonPathItem(item_type=JsonPathItemType.INDEX, index=1),
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="b"),
+    ]
+
+    jp_key = 'a."k.c"'
+    keys = parse_json_path(jp_key)
+    assert keys == [
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="a"),
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="k.c"),
+    ]
+
+    jp_key = 'a."c[][]".b'
+    keys = parse_json_path(jp_key)
+    assert keys == [
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="a"),
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="c[][]"),
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="b"),
+    ]
+
+    jp_key = 'a."c..q".b'
+    keys = parse_json_path(jp_key)
+    assert keys == [
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="a"),
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="c..q"),
+        JsonPathItem(item_type=JsonPathItemType.KEY, key="b"),
+    ]
+
+    with pytest.raises(ValueError):
+        jp_key = 'a."k.c'
+        parse_json_path(jp_key)
+
+    with pytest.raises(ValueError):
+        jp_key = 'a."k.c".'
+        parse_json_path(jp_key)
+
+    with pytest.raises(ValueError):
+        jp_key = 'a."k.c".[]'
+        parse_json_path(jp_key)
+
+    with pytest.raises(ValueError):
+        jp_key = "a.'k.c'"
+        parse_json_path(jp_key)
+
+    with pytest.raises(ValueError):
+        jp_key = "a["
+        parse_json_path(jp_key)
+
+    with pytest.raises(ValueError):
+        jp_key = "a]"
+        parse_json_path(jp_key)
+
+    with pytest.raises(ValueError):
+        jp_key = "a[]]"
+        parse_json_path(jp_key)
+
+    with pytest.raises(ValueError):
+        jp_key = "a[][]."
+        parse_json_path(jp_key)
+
+    with pytest.raises(ValueError):
+        jp_key = "a[][]b"
+        parse_json_path(jp_key)
+
+    with pytest.raises(ValueError):
+        jp_key = ".a"
+        parse_json_path(jp_key)
+
+    with pytest.raises(ValueError):
+        jp_key = "a[x]"
+        parse_json_path(jp_key)
+
+    with pytest.raises(ValueError):
+        jp_key = 'a[]""'
+        parse_json_path(jp_key)
+
+    with pytest.raises(ValueError):
+        jp_key = '""b'
+        parse_json_path(jp_key)
+
+    with pytest.raises(ValueError):
+        jp_key = "[]"
+        parse_json_path(jp_key)
+
+    with pytest.raises(ValueError):
+        jp_key = "a[.]"
+        parse_json_path(jp_key)
+
+    with pytest.raises(ValueError):
+        jp_key = 'a["1"]'
+        parse_json_path(jp_key)
+
+    with pytest.raises(ValueError):
+        jp_key = ""
+        parse_json_path(jp_key)
+
+    with pytest.raises(ValueError):
+        jp_key = "a..c"
+        parse_json_path(jp_key)
+
+    with pytest.raises(ValueError):
+        jp_key = "a.c[]b[]"
+        parse_json_path(jp_key)
+
+    with pytest.raises(ValueError):
+        jp_key = "a.c[].[]"
+        parse_json_path(jp_key)
+
+
+def test_value_by_key() -> None:
+    payload = {
+        "name": "John",
+        "age": 25,
+        "counts": [1, 2, 3],
+        "address": {
+            "city": "New York",
+        },
+        "location": [
+            {"name": "home", "counts": [1, 2, 3]},
+            {"name": "work", "counts": [4, 5, 6]},
+        ],
+        "nested": [{"empty": []}, {"empty": []}, {"empty": None}],
+        "the_null": None,
+        "the": {"nested.key": "cuckoo"},
+        "double-nest-array": [[1, 2], [3, 4], [5, 6]],
+    }
+    # region flat=True
+    assert value_by_key(payload, "name") == ["John"]
+    assert value_by_key(payload, "address.city") == ["New York"]
+    assert value_by_key(payload, "location[].name") == ["home", "work"]
+    assert value_by_key(payload, "location[0].name") == ["home"]
+    assert value_by_key(payload, "location[1].name") == ["work"]
+    assert value_by_key(payload, "location[2].name") is None
+    assert value_by_key(payload, "location[].name[0]") is None
+    assert value_by_key(payload, "location[0]") == [{"name": "home", "counts": [1, 2, 3]}]
+    assert value_by_key(payload, "not_exits") is None
+    assert value_by_key(payload, "address") == [{"city": "New York"}]
+    assert value_by_key(payload, "address.city[0]") is None
+    assert value_by_key(payload, "counts") == [1, 2, 3]
+    assert value_by_key(payload, "location[].counts") == [1, 2, 3, 4, 5, 6]
+    assert value_by_key(payload, "nested[].empty") == [None]
+    assert value_by_key(payload, "the_null") == [None]
+    assert value_by_key(payload, 'the."nested.key"') == ["cuckoo"]
+    assert value_by_key(payload, "double-nest-array[][]") == [1, 2, 3, 4, 5, 6]
+    assert value_by_key(payload, "double-nest-array[0][]") == [1, 2]
+    assert value_by_key(payload, "double-nest-array[0][0]") == [1]
+    assert value_by_key(payload, "double-nest-array[0][0]") == [1]
+    assert value_by_key(payload, "double-nest-array[][1]") == [2, 4, 6]
+    # endregion
+
+    # region flat=False
+    assert value_by_key(payload, "name", flat=False) == ["John"]
+    assert value_by_key(payload, "address.city", flat=False) == ["New York"]
+    assert value_by_key(payload, "location[].name", flat=False) == ["home", "work"]
+    assert value_by_key(payload, "location[0].name", flat=False) == ["home"]
+    assert value_by_key(payload, "location[1].name", flat=False) == ["work"]
+    assert value_by_key(payload, "location[2].name", flat=False) is None
+    assert value_by_key(payload, "location[].name[0]", flat=False) is None
+    assert value_by_key(payload, "location[0]", flat=False) == [
+        {"name": "home", "counts": [1, 2, 3]}
+    ]
+    assert value_by_key(payload, "not_exist", flat=False) is None
+    assert value_by_key(payload, "address", flat=False) == [{"city": "New York"}]
+    assert value_by_key(payload, "address.city[0]", flat=False) is None
+    assert value_by_key(payload, "counts", flat=False) == [[1, 2, 3]]
+    assert value_by_key(payload, "location[].counts", flat=False) == [
+        [1, 2, 3],
+        [4, 5, 6],
+    ]
+    assert value_by_key(payload, "nested[].empty", flat=False) == [[], [], None]
+    assert value_by_key(payload, "the_null", flat=False) == [None]
+
+    assert value_by_key(payload, "age.nested.not_exist") is None
+    # endregion
+
+
+def test_set_value_by_key() -> None:
+    # region valid keys
+    payload: dict[str, Any] = {}
+    new_value: dict[str, Any] = {}
+    key = "a"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {}}, payload
+
+    payload = {"a": {"a": 2}}
+    new_value = {}
+    key = "a"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {"a": 2}}, payload
+
+    payload = {"a": {"a": 2}}
+    new_value = {"b": 3}
+    key = "a"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {"a": 2, "b": 3}}, payload
+
+    payload = {"a": {"a": 2}}
+    new_value = {"a": 3}
+    key = "a"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {"a": 3}}, payload
+
+    payload = {"a": {"a": 2}}
+    new_value = {"a": 3}
+    key = "a.a"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {"a": {"a": 3}}}, payload
+
+    payload = {"a": {"a": {"a": 1}}}
+    new_value = {"b": 2}
+    key = "a.a"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {"a": {"a": 1, "b": 2}}}, payload
+
+    payload = {"a": {"a": {"a": 1}}}
+    new_value = {"a": 2}
+    key = "a.a"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {"a": {"a": 2}}}, payload
+
+    payload = {"a": []}
+    new_value = {"b": 2}
+    key = "a[0]"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": []}, payload
+
+    payload = {"a": [{}]}
+    new_value = {"b": 2}
+    key = "a[0]"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": [{"b": 2}]}, payload
+
+    payload = {"a": [{"a": 1}]}
+    new_value = {"b": 2}
+    key = "a[0]"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": [{"a": 1, "b": 2}]}, payload
+
+    payload = {"a": [[]]}
+    new_value = {"b": 2}
+    key = "a[0]"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": [{"b": 2}]}, payload
+
+    payload = {"a": [[]]}
+    new_value = {"b": 2}
+    key = "a[1]"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": [[]]}, payload
+
+    payload = {"a": [{"a": []}]}
+    new_value = {"b": 2}
+    key = "a[0].a"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": [{"a": {"b": 2}}]}, payload
+
+    payload = {"a": [{"a": []}]}
+    new_value = {"b": 2}
+    key = "a[].a"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": [{"a": {"b": 2}}]}, payload
+
+    payload = {"a": [{"a": []}, {"a": []}]}
+    new_value = {"b": 2}
+    key = "a[].a"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": [{"a": {"b": 2}}, {"a": {"b": 2}}]}, payload
+
+    payload = {"a": 1, "b": 2}
+    new_value = {"c": 3}
+    key = "c"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": 1, "b": 2, "c": {"c": 3}}, payload
+
+    payload = {"a": {"b": {"c": 1}}}
+    new_value = {"d": 2}
+    key = "a.b.d"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {"b": {"c": 1, "d": {"d": 2}}}}, payload
+
+    payload = {"a": {"b": {"c": 1}}}
+    new_value = {"c": 2}
+    key = "a.b"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {"b": {"c": 2}}}, payload
+
+    payload = {"a": [{"b": 1}, {"b": 2}]}
+    new_value = {"c": 3}
+    key = "a[1]"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": [{"b": 1}, {"b": 2, "c": 3}]}, payload
+
+    payload = {"a": []}
+    new_value = {"b": {"c": 1}}
+    key = "a[0]"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": []}, payload
+
+    payload = {"a": {"b": {"c": {"d": {"e": 1}}}}}
+    new_value = {"f": 2}
+    key = "a.b.c.d"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {"b": {"c": {"d": {"e": 1, "f": 2}}}}}, payload
+
+    payload = {"a": {"b": {"c": 1}}}
+    new_value = {"d": {"e": 2}}
+    key = "a.b.c"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {"b": {"c": {"d": {"e": 2}}}}}, payload
+
+    payload = {"a": [{"b": 1}]}
+    new_value = {"c": 2}
+    key = "a[1]"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": [{"b": 1}]}, payload
+
+    payload = {"a": {"b": [{"c": 1}, {"c": 2}]}}
+    new_value = {"d": 3}
+    key = "a.b[0].c"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {"b": [{"c": {"d": 3}}, {"c": 2}]}}, payload
+
+    payload = {"a": {"b": {"c": [{"d": 1}]}}}
+    new_value = {"e": {"f": 2}}
+    key = "a.b.c[0].d"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {"b": {"c": [{"d": {"e": {"f": 2}}}]}}}, payload
+
+    payload = {"a": [[{"b": 1}], [{"b": 2}]]}
+    new_value = {"c": 3}
+    key = "a[0][0]"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": [[{"b": 1, "c": 3}], [{"b": 2}]]}, payload
+
+    payload = {"a": [[{"b": 1}], [{"b": 2}]]}
+    new_value = {"c": 3}
+    key = "a[1][0]"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": [[{"b": 1}], [{"b": 2, "c": 3}]]}, payload
+
+    payload = {"a": [[{"b": 1}], [{"b": 2}]]}
+    new_value = {"c": 3}
+    key = "a[1][1]"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": [[{"b": 1}], [{"b": 2}]]}, payload
+
+    payload = {"a": [[{"b": 1}], [{"b": 2}]]}
+    new_value = {"c": 3}
+    key = "a[][0]"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": [[{"b": 1, "c": 3}], [{"b": 2, "c": 3}]]}, payload
+
+    payload = {"a": [[{"b": 1}], [{"b": 2}]]}
+    new_value = {"c": 3}
+    key = "a[][]"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": [[{"b": 1, "c": 3}], [{"b": 2, "c": 3}]]}, payload
+
+    payload = {"a": []}
+    new_value = {"c": 3}
+    key = 'a."b.c"'
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {"b.c": {"c": 3}}}, payload
+
+    payload = {"a": {"c": [1]}}
+    new_value = {"a": 1}
+    key = "a.c[0]"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {"c": [{"a": 1}]}}, payload
+
+    payload = {"a": {"c": [1]}}
+    new_value = {"a": 1}
+    key = "a.c[0].d"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {"c": [{"d": {"a": 1}}]}}, payload
+
+    payload = {"": 2}
+    new_value = {"a": 1}
+    key = '""'
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"": {"a": 1}}, payload
+    # endregion
+
+    # region exceptions
+
+    try:
+        payload = {"a": []}
+        new_value = {"c": 3}
+        key = "a.'b.c'"
+        set_value_by_key(payload, parse_json_path(key), new_value)
+        assert False, f"Should've raised an exception due to the key with incorrect quotes: {key}"
+    except Exception:
+        assert True
+
+    try:
+        payload = {"a": [{"b": 1}, {"b": 2}]}
+        new_value = {"c": 3}
+        key = "a[-1]"
+        set_value_by_key(payload, parse_json_path(key), new_value)
+        assert False, "Negative indexation is not supported"
+    except Exception:
+        assert True
+
+    try:
+        payload = {"a": [{"b": 1}, {"b": 2}]}
+        new_value = {"c": 3}
+        key = "a["
+        set_value_by_key(payload, parse_json_path(key), new_value)
+        assert False, f"Should've raised an exception due to the incorrect key: {key}"
+    except Exception:
+        assert True
+
+    try:
+        payload = {"a": [{"b": 1}, {"b": 2}]}
+        new_value = {"c": 3}
+        key = "a]"
+        set_value_by_key(payload, parse_json_path(key), new_value)
+        assert False, f"Should've raise an exception due to the incorrect key: {key}"
+    except Exception:
+        assert True
+
+    # endregion
+
+    # region wrong keys
+    payload = {"a": []}
+    new_value = {}
+    key = "a.b[0]"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {"b": []}}, payload
+
+    payload = {"a": []}
+    new_value = {}
+    key = "a.b"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {"b": {}}}, payload
+
+    payload = {"a": []}
+    new_value = {"c": 2}
+    key = "a.b"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {"b": {"c": 2}}}, payload
+
+    payload = {"a": [[{"a": 1}]]}
+    new_value = {"a": 2}
+    key = "a.b[0][0]"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {"b": []}}, payload
+
+    payload = {"a": {"c": 2}}
+    new_value = {"a": 1}
+    key = "a[]"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": []}, payload
+
+    payload = {"a": {"c": 2}}
+    new_value = {"a": 1}
+    key = "a[].b"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": []}, payload
+
+    payload = {"a": {"c": [1]}}
+    new_value = {"a": 1}
+    key = "a.c[][][0]"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {"c": [[]]}}, payload
+
+    payload = {"a": {"c": [{"d": 1}]}}
+    new_value = {"a": 1}
+    key = "a.c[][]"
+    set_value_by_key(payload, parse_json_path(key), new_value)
+    assert payload == {"a": {"c": [[]]}}, payload
+    # endregion

platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/qdrant_client/local/tests/test_referenced_vectors.py

@@ -0,0 +1,135 @@
+import copy
+
+import pytest
+
+
+from qdrant_client.local.qdrant_local import QdrantLocal
+from qdrant_client import models
+
+
+@pytest.fixture(scope="module", autouse=True)
+def client():
+    """
+    Sets up multiple collections with a bunch of points
+    """
+    client = QdrantLocal(":memory:")
+    client.create_collection(
+        "collection_default",
+        vectors_config=models.VectorParams(
+            size=4,
+            distance=models.Distance.DOT,
+        ),
+    )
+
+    client.create_collection(
+        "collection_multiple_vectors",
+        vectors_config={
+            "": models.VectorParams(
+                size=4,
+                distance=models.Distance.DOT,
+            ),
+            "byte": models.VectorParams(
+                size=4, distance=models.Distance.DOT, datatype=models.Datatype.UINT8
+            ),
+            "colbert": models.VectorParams(
+                size=4,
+                distance=models.Distance.DOT,
+                multivector_config=models.MultiVectorConfig(
+                    comparator=models.MultiVectorComparator.MAX_SIM
+                ),
+            ),
+        },
+        sparse_vectors_config={"sparse": models.SparseVectorParams()},
+    )
+
+    client.upsert(
+        "collection_default",
+        [
+            models.PointStruct(id=1, vector=[0.25, 0.0, 0.0, 0.0]),
+        ],
+    )
+
+    client.upsert(
+        "collection_multiple_vectors",
+        [
+            models.PointStruct(
+                id=1,
+                vector={
+                    "": [0.0, 0.25, 0.0, 0.0],
+                    "byte": [0, 25, 0, 0],
+                    "colbert": [[0.0, 0.25, 0.0, 0.0], [0.0, 0.25, 0.0, 0.0]],
+                    "sparse": models.SparseVector(indices=[1], values=[0.25]),
+                },
+            ),
+        ],
+    )
+
+    return client
+
+
+@pytest.mark.parametrize(
+    "query",
+    [
+        models.NearestQuery(nearest=1),
+        models.RecommendQuery(recommend=models.RecommendInput(positive=[1], negative=[1])),
+        models.DiscoverQuery(
+            discover=models.DiscoverInput(
+                target=1, context=[models.ContextPair(**{"positive": 1, "negative": 1})]
+            )
+        ),
+        models.ContextQuery(context=[models.ContextPair(**{"positive": 1, "negative": 1})]),
+        models.OrderByQuery(order_by=models.OrderBy(key="price", direction=models.Direction.ASC)),
+        models.FusionQuery(fusion=models.Fusion.RRF),
+    ],
+)
+@pytest.mark.parametrize(
+    "using, lookup_from, expected, mentioned",
+    [
+        (None, None, [0.25, 0.0, 0.0, 0.0], True),
+        ("", None, [0.25, 0.0, 0.0, 0.0], True),
+        (
+            "byte",
+            models.LookupLocation(collection="collection_multiple_vectors"),
+            [0, 25, 0, 0],
+            False,
+        ),
+        (
+            "",
+            models.LookupLocation(collection="collection_multiple_vectors", vector="colbert"),
+            [[0.0, 0.25, 0.0, 0.0], [0.0, 0.25, 0.0, 0.0]],
+            False,
+        ),
+        (
+            None,
+            models.LookupLocation(collection="collection_multiple_vectors", vector="sparse"),
+            models.SparseVector(indices=[1], values=[0.25]),
+            False,
+        ),
+    ],
+)
+def test_vector_dereferencing(client, query, using, lookup_from, expected, mentioned):
+    resolved, mentioned_ids = client._resolve_query_input(
+        collection_name="collection_default",
+        query=copy.deepcopy(query),
+        using=using,
+        lookup_from=lookup_from,
+    )
+
+    if isinstance(resolved, models.NearestQuery):
+        assert resolved.nearest == expected
+    elif isinstance(resolved, models.RecommendQuery):
+        assert resolved.recommend.positive == [expected]
+        assert resolved.recommend.negative == [expected]
+    elif isinstance(resolved, models.DiscoverQuery):
+        assert resolved.discover.target == expected
+        assert resolved.discover.context[0].positive == expected
+        assert resolved.discover.context[0].negative == expected
+    elif isinstance(resolved, models.ContextQuery):
+        assert resolved.context[0].positive == expected
+        assert resolved.context[0].negative == expected
+    else:
+        mentioned = False
+        assert resolved == query
+
+    if mentioned:
+        assert mentioned_ids == {1}

platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/qdrant_client/local/tests/test_vectors.py

@@ -0,0 +1,21 @@
+import random
+
+from qdrant_client import models
+from qdrant_client.local.local_collection import LocalCollection, DEFAULT_VECTOR_NAME
+
+
+def test_get_vectors():
+    collection = LocalCollection(
+        models.CreateCollection(
+            vectors=models.VectorParams(size=2, distance=models.Distance.MANHATTAN)
+        )
+    )
+    collection.upsert(
+        points=[
+            models.PointStruct(id=i, vector=[random.random(), random.random()]) for i in range(10)
+        ]
+    )
+
+    assert collection._get_vectors(idx=1, with_vectors=DEFAULT_VECTOR_NAME)
+    assert collection._get_vectors(idx=2, with_vectors=True)
+    assert collection._get_vectors(idx=3, with_vectors=False) is None