ahmido
1fec9c6f9d
Some checks failed
Main Confidence / confidence (push) Failing after 45s
## Summary - introduce surface-aware compressed governance outcomes and reuse the shared truth/explanation seams for operator-first summaries - apply the compressed outcome hierarchy across baseline, evidence, review, review-pack, canonical review/evidence, and artifact-oriented operation-run surfaces - expand spec 214 fixtures and Pest coverage, and fix tenant-panel route assertions by generating explicit tenant-panel URLs in the affected Filament tests ## Validation - `cd apps/platform && ./vendor/bin/sail bin pint --dirty --format agent` - focused governance compression suite from `specs/214-governance-outcome-compression/quickstart.md` passed (`68` tests, `445` assertions) - `cd apps/platform && ./vendor/bin/sail artisan test --compact tests/Feature/Filament/InventoryItemResourceTest.php tests/Feature/Filament/BackupSetUiEnforcementTest.php tests/Feature/Filament/RestoreRunUiEnforcementTest.php` passed (`18` tests, `81` assertions) Co-authored-by: Ahmed Darrazi <ahmed.darrazi@live.de> Reviewed-on: #253
121 lines
4.4 KiB
Plaintext
121 lines
4.4 KiB
Plaintext
import type { AnyColumn } from "../../column.js";
|
|
import type { TypedQueryBuilder } from "../../query-builders/query-builder.js";
|
|
import { type SQL, type SQLWrapper } from "../sql.js";
|
|
/**
|
|
* Used in sorting and in querying, if used in sorting,
|
|
* this specifies that the given column or expression should be sorted in an order
|
|
* that minimizes the L2 distance to the given value.
|
|
* If used in querying, this specifies that it should return the L2 distance
|
|
* between the given column or expression and the given value.
|
|
*
|
|
* ## Examples
|
|
*
|
|
* ```ts
|
|
* // Sort cars by embedding similarity
|
|
* // to the given embedding
|
|
* db.select().from(cars)
|
|
* .orderBy(l2Distance(cars.embedding, embedding));
|
|
* ```
|
|
*
|
|
* ```ts
|
|
* // Select distance of cars and embedding
|
|
* // to the given embedding
|
|
* db.select({distance: l2Distance(cars.embedding, embedding)}).from(cars)
|
|
* ```
|
|
*/
|
|
export declare function l2Distance(column: SQLWrapper | AnyColumn, value: number[] | string[] | TypedQueryBuilder<any> | string): SQL;
|
|
/**
|
|
* L1 distance is one of the possible distance measures between two probability distribution vectors and it is
|
|
* calculated as the sum of the absolute differences.
|
|
* The smaller the distance between the observed probability vectors, the higher the accuracy of the synthetic data
|
|
*
|
|
* ## Examples
|
|
*
|
|
* ```ts
|
|
* // Sort cars by embedding similarity
|
|
* // to the given embedding
|
|
* db.select().from(cars)
|
|
* .orderBy(l1Distance(cars.embedding, embedding));
|
|
* ```
|
|
*
|
|
* ```ts
|
|
* // Select distance of cars and embedding
|
|
* // to the given embedding
|
|
* db.select({distance: l1Distance(cars.embedding, embedding)}).from(cars)
|
|
* ```
|
|
*/
|
|
export declare function l1Distance(column: SQLWrapper | AnyColumn, value: number[] | string[] | TypedQueryBuilder<any> | string): SQL;
|
|
/**
|
|
* Used in sorting and in querying, if used in sorting,
|
|
* this specifies that the given column or expression should be sorted in an order
|
|
* that minimizes the inner product distance to the given value.
|
|
* If used in querying, this specifies that it should return the inner product distance
|
|
* between the given column or expression and the given value.
|
|
*
|
|
* ## Examples
|
|
*
|
|
* ```ts
|
|
* // Sort cars by embedding similarity
|
|
* // to the given embedding
|
|
* db.select().from(cars)
|
|
* .orderBy(innerProduct(cars.embedding, embedding));
|
|
* ```
|
|
*
|
|
* ```ts
|
|
* // Select distance of cars and embedding
|
|
* // to the given embedding
|
|
* db.select({ distance: innerProduct(cars.embedding, embedding) }).from(cars)
|
|
* ```
|
|
*/
|
|
export declare function innerProduct(column: SQLWrapper | AnyColumn, value: number[] | string[] | TypedQueryBuilder<any> | string): SQL;
|
|
/**
|
|
* Used in sorting and in querying, if used in sorting,
|
|
* this specifies that the given column or expression should be sorted in an order
|
|
* that minimizes the cosine distance to the given value.
|
|
* If used in querying, this specifies that it should return the cosine distance
|
|
* between the given column or expression and the given value.
|
|
*
|
|
* ## Examples
|
|
*
|
|
* ```ts
|
|
* // Sort cars by embedding similarity
|
|
* // to the given embedding
|
|
* db.select().from(cars)
|
|
* .orderBy(cosineDistance(cars.embedding, embedding));
|
|
* ```
|
|
*
|
|
* ```ts
|
|
* // Select distance of cars and embedding
|
|
* // to the given embedding
|
|
* db.select({distance: cosineDistance(cars.embedding, embedding)}).from(cars)
|
|
* ```
|
|
*/
|
|
export declare function cosineDistance(column: SQLWrapper | AnyColumn, value: number[] | string[] | TypedQueryBuilder<any> | string): SQL;
|
|
/**
|
|
* Hamming distance between two strings or vectors of equal length is the number of positions at which the
|
|
* corresponding symbols are different. In other words, it measures the minimum number of
|
|
* substitutions required to change one string into the other, or equivalently,
|
|
* the minimum number of errors that could have transformed one string into the other
|
|
*
|
|
* ## Examples
|
|
*
|
|
* ```ts
|
|
* // Sort cars by embedding similarity
|
|
* // to the given embedding
|
|
* db.select().from(cars)
|
|
* .orderBy(hammingDistance(cars.embedding, embedding));
|
|
* ```
|
|
*/
|
|
export declare function hammingDistance(column: SQLWrapper | AnyColumn, value: number[] | string[] | TypedQueryBuilder<any> | string): SQL;
|
|
/**
|
|
* ## Examples
|
|
*
|
|
* ```ts
|
|
* // Sort cars by embedding similarity
|
|
* // to the given embedding
|
|
* db.select().from(cars)
|
|
* .orderBy(jaccardDistance(cars.embedding, embedding));
|
|
* ```
|
|
*/
|
|
export declare function jaccardDistance(column: SQLWrapper | AnyColumn, value: number[] | string[] | TypedQueryBuilder<any> | string): SQL;
|