mirror of
https://github.com/lancedb/lancedb.git
synced 2026-08-18 03:58:26 +00:00
@@ -13,11 +13,10 @@ import { Schema } from "apache-arrow";
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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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import * as arrow13 from "apache-arrow-13";
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import * as arrow14 from "apache-arrow-14";
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import * as arrow15 from "apache-arrow-15";
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import * as arrow16 from "apache-arrow-16";
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import * as arrow17 from "apache-arrow-17";
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import * as arrow18 from "apache-arrow-18";
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import {
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convertToTable,
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@@ -45,22 +44,16 @@ function sampleRecords(): Array<Record<string, any>> {
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},
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];
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}
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describe.each([arrow13, arrow14, arrow15, arrow16, arrow17])(
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describe.each([arrow15, arrow16, arrow17, arrow18])(
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"Arrow",
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(
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arrow:
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| typeof arrow13
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| typeof arrow14
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| typeof arrow15
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| typeof arrow16
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| typeof arrow17,
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arrow: typeof arrow15 | typeof arrow16 | typeof arrow17 | typeof arrow18,
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) => {
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type ApacheArrow =
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| typeof arrow13
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| typeof arrow14
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| typeof arrow15
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| typeof arrow16
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| typeof arrow17;
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| typeof arrow17
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| typeof arrow18;
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const {
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Schema,
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Field,
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@@ -498,40 +491,40 @@ describe.each([arrow13, arrow14, arrow15, arrow16, arrow17])(
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describe("when using two versions of arrow", function () {
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it("can still import data", async function () {
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const schema = new arrow13.Schema([
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new arrow13.Field("id", new arrow13.Int32()),
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new arrow13.Field(
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const schema = new arrow15.Schema([
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new arrow15.Field("id", new arrow15.Int32()),
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new arrow15.Field(
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"vector",
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new arrow13.FixedSizeList(
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new arrow15.FixedSizeList(
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1024,
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new arrow13.Field("item", new arrow13.Float32(), true),
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new arrow15.Field("item", new arrow15.Float32(), true),
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),
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),
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new arrow13.Field(
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new arrow15.Field(
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"struct",
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new arrow13.Struct([
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new arrow13.Field(
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new arrow15.Struct([
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new arrow15.Field(
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"nested",
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new arrow13.Dictionary(
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new arrow13.Utf8(),
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new arrow13.Int32(),
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new arrow15.Dictionary(
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new arrow15.Utf8(),
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new arrow15.Int32(),
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1,
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true,
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),
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),
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new arrow13.Field(
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new arrow15.Field(
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"ts_with_tz",
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new arrow13.TimestampNanosecond("some_tz"),
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new arrow15.TimestampNanosecond("some_tz"),
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),
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new arrow13.Field(
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new arrow15.Field(
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"ts_no_tz",
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new arrow13.TimestampNanosecond(null),
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new arrow15.TimestampNanosecond(null),
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),
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]),
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),
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// biome-ignore lint/suspicious/noExplicitAny: skip
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]) as any;
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schema.metadataVersion = arrow13.MetadataVersion.V5;
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schema.metadataVersion = arrow15.MetadataVersion.V5;
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const table = makeArrowTable([], { schema });
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const buf = await fromTableToBuffer(table);
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@@ -543,13 +536,13 @@ describe.each([arrow13, arrow14, arrow15, arrow16, arrow17])(
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// Deep equality gets hung up on some very minor unimportant differences
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// between arrow version 13 and 15 which isn't really what we're testing for
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// and so we do our own comparison that just checks name/type/nullability
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function compareFields(lhs: arrow13.Field, rhs: arrow13.Field) {
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function compareFields(lhs: arrow15.Field, rhs: arrow15.Field) {
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expect(lhs.name).toEqual(rhs.name);
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expect(lhs.nullable).toEqual(rhs.nullable);
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expect(lhs.typeId).toEqual(rhs.typeId);
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if ("children" in lhs.type && lhs.type.children !== null) {
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const lhsChildren = lhs.type.children as arrow13.Field[];
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lhsChildren.forEach((child: arrow13.Field, idx) => {
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const lhsChildren = lhs.type.children as arrow15.Field[];
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lhsChildren.forEach((child: arrow15.Field, idx) => {
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compareFields(child, rhs.type.children[idx]);
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});
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}
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+133
-144
@@ -12,11 +12,10 @@ import * as apiArrow from "apache-arrow";
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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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import * as arrow13 from "apache-arrow-13";
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import * as arrow14 from "apache-arrow-14";
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import * as arrow15 from "apache-arrow-15";
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import * as arrow16 from "apache-arrow-16";
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import * as arrow17 from "apache-arrow-17";
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import * as arrow18 from "apache-arrow-18";
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import * as tmp from "tmp";
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@@ -24,154 +23,144 @@ import { connect } from "../lancedb";
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import { EmbeddingFunction, LanceSchema } from "../lancedb/embedding";
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import { getRegistry, register } from "../lancedb/embedding/registry";
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describe.each([arrow13, arrow14, arrow15, arrow16, arrow17])(
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"LanceSchema",
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(arrow) => {
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test("should preserve input order", async () => {
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const schema = LanceSchema({
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id: new arrow.Int32(),
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text: new arrow.Utf8(),
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vector: new arrow.Float32(),
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});
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expect(schema.fields.map((x) => x.name)).toEqual([
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"id",
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"text",
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"vector",
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]);
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describe.each([arrow15, arrow16, arrow17, arrow18])("LanceSchema", (arrow) => {
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test("should preserve input order", async () => {
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const schema = LanceSchema({
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id: new arrow.Int32(),
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text: new arrow.Utf8(),
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vector: new arrow.Float32(),
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});
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},
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);
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expect(schema.fields.map((x) => x.name)).toEqual(["id", "text", "vector"]);
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});
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});
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describe.each([arrow13, arrow14, arrow15, arrow16, arrow17])(
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"Registry",
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(arrow) => {
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let tmpDir: tmp.DirResult;
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beforeEach(() => {
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tmpDir = tmp.dirSync({ unsafeCleanup: true });
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});
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describe.each([arrow15, arrow16, arrow17, arrow18])("Registry", (arrow) => {
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let tmpDir: tmp.DirResult;
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beforeEach(() => {
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tmpDir = tmp.dirSync({ unsafeCleanup: true });
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});
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afterEach(() => {
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tmpDir.removeCallback();
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getRegistry().reset();
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});
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afterEach(() => {
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tmpDir.removeCallback();
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getRegistry().reset();
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});
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it("should register a new item to the registry", async () => {
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@register("mock-embedding")
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class MockEmbeddingFunction extends EmbeddingFunction<string> {
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toJSON(): object {
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return {
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someText: "hello",
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};
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}
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constructor() {
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super();
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}
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ndims() {
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return 3;
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}
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embeddingDataType() {
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return new arrow.Float32() as apiArrow.Float;
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}
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async computeSourceEmbeddings(data: string[]) {
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return data.map(() => [1, 2, 3]);
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}
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it("should register a new item to the registry", async () => {
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@register("mock-embedding")
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class MockEmbeddingFunction extends EmbeddingFunction<string> {
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toJSON(): object {
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return {
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someText: "hello",
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};
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}
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const func = getRegistry()
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.get<MockEmbeddingFunction>("mock-embedding")!
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.create();
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const schema = LanceSchema({
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id: new arrow.Int32(),
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text: func.sourceField(new arrow.Utf8() as apiArrow.DataType),
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vector: func.vectorField(),
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});
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const db = await connect(tmpDir.name);
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const table = await db.createTable(
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"test",
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[
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{ id: 1, text: "hello" },
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{ id: 2, text: "world" },
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],
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{ schema },
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);
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const expected = [
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[1, 2, 3],
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[1, 2, 3],
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];
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const actual = await table.query().toArrow();
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const vectors = actual.getChild("vector")!.toArray();
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expect(JSON.parse(JSON.stringify(vectors))).toEqual(
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JSON.parse(JSON.stringify(expected)),
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);
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});
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test("should error if registering with the same name", async () => {
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class MockEmbeddingFunction extends EmbeddingFunction<string> {
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toJSON(): object {
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return {
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someText: "hello",
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};
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}
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constructor() {
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super();
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}
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ndims() {
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return 3;
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}
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embeddingDataType() {
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return new arrow.Float32() as apiArrow.Float;
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}
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async computeSourceEmbeddings(data: string[]) {
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return data.map(() => [1, 2, 3]);
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}
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constructor() {
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super();
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}
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register("mock-embedding")(MockEmbeddingFunction);
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expect(() => register("mock-embedding")(MockEmbeddingFunction)).toThrow(
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'Embedding function with alias "mock-embedding" already exists',
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);
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});
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test("schema should contain correct metadata", async () => {
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class MockEmbeddingFunction extends EmbeddingFunction<string> {
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toJSON(): object {
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return {
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someText: "hello",
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};
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}
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constructor() {
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super();
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}
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ndims() {
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return 3;
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}
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embeddingDataType() {
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return new arrow.Float32() as apiArrow.Float;
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}
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async computeSourceEmbeddings(data: string[]) {
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return data.map(() => [1, 2, 3]);
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}
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ndims() {
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return 3;
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}
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const func = new MockEmbeddingFunction();
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embeddingDataType() {
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return new arrow.Float32() as apiArrow.Float;
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}
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async computeSourceEmbeddings(data: string[]) {
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return data.map(() => [1, 2, 3]);
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}
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}
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const schema = LanceSchema({
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id: new arrow.Int32(),
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text: func.sourceField(new arrow.Utf8() as apiArrow.DataType),
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vector: func.vectorField(),
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});
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const expectedMetadata = new Map<string, string>([
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[
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"embedding_functions",
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JSON.stringify([
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{
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sourceColumn: "text",
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vectorColumn: "vector",
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name: "MockEmbeddingFunction",
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model: { someText: "hello" },
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},
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]),
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],
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]);
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expect(schema.metadata).toEqual(expectedMetadata);
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const func = getRegistry()
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.get<MockEmbeddingFunction>("mock-embedding")!
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.create();
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const schema = LanceSchema({
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id: new arrow.Int32(),
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text: func.sourceField(new arrow.Utf8() as apiArrow.DataType),
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vector: func.vectorField(),
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});
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},
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);
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const db = await connect(tmpDir.name);
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const table = await db.createTable(
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"test",
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[
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{ id: 1, text: "hello" },
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{ id: 2, text: "world" },
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],
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{ schema },
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);
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const expected = [
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[1, 2, 3],
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[1, 2, 3],
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];
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const actual = await table.query().toArrow();
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const vectors = actual.getChild("vector")!.toArray();
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expect(JSON.parse(JSON.stringify(vectors))).toEqual(
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JSON.parse(JSON.stringify(expected)),
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);
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});
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test("should error if registering with the same name", async () => {
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class MockEmbeddingFunction extends EmbeddingFunction<string> {
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toJSON(): object {
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return {
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someText: "hello",
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};
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}
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constructor() {
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super();
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}
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ndims() {
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return 3;
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}
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embeddingDataType() {
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return new arrow.Float32() as apiArrow.Float;
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}
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async computeSourceEmbeddings(data: string[]) {
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return data.map(() => [1, 2, 3]);
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}
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}
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register("mock-embedding")(MockEmbeddingFunction);
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expect(() => register("mock-embedding")(MockEmbeddingFunction)).toThrow(
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'Embedding function with alias "mock-embedding" already exists',
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);
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});
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test("schema should contain correct metadata", async () => {
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class MockEmbeddingFunction extends EmbeddingFunction<string> {
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toJSON(): object {
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return {
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someText: "hello",
|
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};
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}
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constructor() {
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super();
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}
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ndims() {
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return 3;
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}
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embeddingDataType() {
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return new arrow.Float32() as apiArrow.Float;
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}
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async computeSourceEmbeddings(data: string[]) {
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return data.map(() => [1, 2, 3]);
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}
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}
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const func = new MockEmbeddingFunction();
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const schema = LanceSchema({
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id: new arrow.Int32(),
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text: func.sourceField(new arrow.Utf8() as apiArrow.DataType),
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vector: func.vectorField(),
|
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});
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||||
const expectedMetadata = new Map<string, string>([
|
||||
[
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||||
"embedding_functions",
|
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JSON.stringify([
|
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{
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sourceColumn: "text",
|
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vectorColumn: "vector",
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name: "MockEmbeddingFunction",
|
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model: { someText: "hello" },
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},
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||||
]),
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],
|
||||
]);
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expect(schema.metadata).toEqual(expectedMetadata);
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||||
});
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||||
});
|
||||
|
||||
@@ -16,11 +16,10 @@ import * as fs from "fs";
|
||||
import * as path from "path";
|
||||
import * as tmp from "tmp";
|
||||
|
||||
import * as arrow13 from "apache-arrow-13";
|
||||
import * as arrow14 from "apache-arrow-14";
|
||||
import * as arrow15 from "apache-arrow-15";
|
||||
import * as arrow16 from "apache-arrow-16";
|
||||
import * as arrow17 from "apache-arrow-17";
|
||||
import * as arrow18 from "apache-arrow-18";
|
||||
|
||||
import { Table, connect } from "../lancedb";
|
||||
import {
|
||||
@@ -44,7 +43,7 @@ import {
|
||||
} from "../lancedb/embedding";
|
||||
import { Index } from "../lancedb/indices";
|
||||
|
||||
describe.each([arrow13, arrow14, arrow15, arrow16, arrow17])(
|
||||
describe.each([arrow15, arrow16, arrow17, arrow18])(
|
||||
"Given a table",
|
||||
// biome-ignore lint/suspicious/noExplicitAny: <explanation>
|
||||
(arrow: any) => {
|
||||
@@ -52,11 +51,10 @@ describe.each([arrow13, arrow14, arrow15, arrow16, arrow17])(
|
||||
let table: Table;
|
||||
|
||||
const schema:
|
||||
| import("apache-arrow-13").Schema
|
||||
| import("apache-arrow-14").Schema
|
||||
| import("apache-arrow-15").Schema
|
||||
| import("apache-arrow-16").Schema
|
||||
| import("apache-arrow-17").Schema = new arrow.Schema([
|
||||
| import("apache-arrow-17").Schema
|
||||
| import("apache-arrow-18").Schema = new arrow.Schema([
|
||||
new arrow.Field("id", new arrow.Float64(), true),
|
||||
]);
|
||||
|
||||
@@ -939,7 +937,7 @@ describe("when optimizing a dataset", () => {
|
||||
});
|
||||
});
|
||||
|
||||
describe.each([arrow13, arrow14, arrow15, arrow16, arrow17])(
|
||||
describe.each([arrow15, arrow16, arrow17, arrow18])(
|
||||
"when optimizing a dataset",
|
||||
// biome-ignore lint/suspicious/noExplicitAny: <explanation>
|
||||
(arrow: any) => {
|
||||
|
||||
Reference in New Issue
Block a user