mirror of
https://github.com/chanzuckerberg/cellxgene.git
synced 2026-09-27 07:58:12 +08:00
Dataframe (#576)
* initial dataframe commit * initial dataframe port of core app * rename variables for clarity * remove unused import * comment out unused code * fix array handling bug in crossfilter dimension creation * allow creation of empty dataframes * handle non-existent columns * handle non-existent columns * revise tests for new dataframe * comments for clarity * comments for clarity * generate bulk add placeholder with real gene names * fix bug in gene name adding * more dataframe unit tests * fix bug - subset from current world, not universe * put cut and pasted code into a single function * improve caching of crossfilter * remove cascading update bug from graph * more performance work * improve state handling for scatterplot * performance optimization of critical path * add column summarization * dataframe utils * add callOnceLazy * fix tests * minor updates found during review * fix misspelling * remove RESTv02 from function names * comment cleanup * cut/icut col parameter defaults to null * break up large test * improve tests and comments on dataframe at/has functions
This commit is contained in:
@@ -53,13 +53,15 @@ Example:
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NOTE: will not summarize the required 'name' annotation, as that is
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specified as unique per element.
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*/
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function _summarizeAnnotations(_schema, annotations) {
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function _summarizeAnnotations(_schema, df) {
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const summary = _(_schema) // lodash wrapping: https://lodash.com/docs/4.17.11#lodash
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.filter(v => v.name !== "name")
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.filter(v => v.name !== "name") // don't summarize name
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.keyBy("name")
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.mapValues(anno => {
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const { name, type } = anno;
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const continuous = type === "int32" || type === "float32";
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const numRows = df.length;
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const col = df.col(name) ? df.col(name).asArray() : null;
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if (continuous) {
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let min;
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@@ -67,22 +69,24 @@ function _summarizeAnnotations(_schema, annotations) {
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let nan = 0;
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let pinf = 0;
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let ninf = 0;
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for (let r = 0; r < annotations.length; r += 1) {
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const val = Number(annotations[r][name]);
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if (Number.isFinite(val)) {
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if (min === undefined) {
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min = val;
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max = val;
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if (col) {
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for (let r = 0; r < numRows; r += 1) {
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const val = Number(col[r]);
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if (Number.isFinite(val)) {
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if (min === undefined) {
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min = val;
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max = val;
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} else {
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min = val < min ? val : min;
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max = val > max ? val : max;
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}
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} else if (Number.isNaN(val)) {
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nan += 1;
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} else if (val > 0) {
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pinf += 1;
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} else {
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min = val < min ? val : min;
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max = val > max ? val : max;
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ninf += 1;
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}
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} else if (Number.isNaN(val)) {
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nan += 1;
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} else if (val > 0) {
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pinf += 1;
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} else {
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ninf += 1;
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}
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}
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return {
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@@ -93,11 +97,13 @@ function _summarizeAnnotations(_schema, annotations) {
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/* else categorical */
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const categoryCounts = new Map();
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for (let r = 0; r < annotations.length; r += 1) {
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const val = annotations[r][name];
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let curCount = categoryCounts.get(val);
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if (curCount === undefined) curCount = 0;
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categoryCounts.set(val, curCount + 1);
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if (col) {
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for (let r = 0; r < numRows; r += 1) {
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const val = col[r];
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let curCount = categoryCounts.get(val);
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if (curCount === undefined) curCount = 0;
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categoryCounts.set(val, curCount + 1);
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}
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}
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return {
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categorical: true,
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@@ -5,6 +5,7 @@ import _ from "lodash";
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import * as kvCache from "./keyvalcache";
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import summarizeAnnotations from "./summarizeAnnotations";
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import decodeMatrixFBS from "./matrix";
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import * as Dataframe from "../dataframe";
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/*
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Private helper function - create and return a template Universe
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@@ -27,13 +28,10 @@ function templateUniverse() {
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/*
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Annotations
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*/
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obsAnnotations: [] /* all obs annotations, by obs index */,
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varAnnotations: [] /* all var annotations, by var index */,
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obsNameToIndexMap: {} /* reverse map 'name' to index */,
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varNameToIndexMap: {} /* reverse map 'name' to index */,
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summary: null /* derived data summaries XXX: consider exploding in place */,
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obsLayout: { X: [], Y: [] } /* xy layout */,
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obsAnnotations: null,
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varAnnotations: null,
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obsLayout: null,
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summary: null /* derived data summaries. XXX: consider exploding in place */,
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/*
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Cache of var data (expression), by var annotation name. Data can be
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@@ -61,9 +59,8 @@ function finalize(universe) {
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/* A bit of sanity checking! */
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const { nObs, nVar } = universe;
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if (
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nObs !== universe.obsLayout.length ||
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nObs !== universe.obsAnnotations.length ||
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nObs !== universe.obsLayout.X.length ||
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nObs !== universe.obsLayout.Y.length ||
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nVar !== universe.varAnnotations.length
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) {
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throw new Error("Universe dimensionality mismatch - failed to load");
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@@ -73,61 +70,33 @@ function finalize(universe) {
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// - layout has supported number of dimensions
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// - ...
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/*
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Create all derived (convenience) data structures.
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*/
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universe.obsNameToIndexMap = _.transform(
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universe.obsAnnotations,
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(acc, value, idx) => {
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acc[value.name] = idx;
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},
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{}
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);
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universe.varNameToIndexMap = _.transform(
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universe.varAnnotations,
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(acc, value, idx) => {
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acc[value.name] = idx;
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},
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{}
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);
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universe.finalized = true;
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return universe;
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}
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function RESTv02AnotationsFBSResponseToInternal(arrayBuffer) {
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function AnnotationsFBSToDataframe(arrayBuffer) {
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/*
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Convert a Matrix FBS to our internal format -- row-major array of
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observations/cells, stored as an object. Each obs has a key for each
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annotation, plus __index__ containing its obsIndex.
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Example:
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[
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{ __index__: 0, tissue_type: "lung", sex: "F", ... },
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...
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]
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XXX TODO: we could make use of the columns in building crossfilter
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dimensions (they have to be recreated). Future optimization.
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Convert a Matrix FBS to a Dataframe.
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*/
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const fbs = decodeMatrixFBS(arrayBuffer);
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const keys = fbs.colIdx;
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const result = Array(fbs.nRows);
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for (let row = 0; row < fbs.nRows; row += 1) {
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const rec = { __index__: row };
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for (let col = 0; col < fbs.nCols; col += 1) {
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rec[keys[col]] = fbs.columns[col][row];
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}
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result[row] = rec;
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}
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return result;
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const df = new Dataframe.Dataframe(
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[fbs.nRows, fbs.nCols],
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fbs.columns,
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null,
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new Dataframe.KeyIndex(fbs.colIdx)
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);
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return df;
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}
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function RESTv02LayoutFBSResponseToInternal(arrayBuffer) {
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function LayoutFBSToDataframe(arrayBuffer) {
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const fbs = decodeMatrixFBS(arrayBuffer, true);
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return {
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X: fbs.columns[0],
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Y: fbs.columns[1]
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};
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const df = new Dataframe.Dataframe(
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[fbs.nRows, fbs.nCols],
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fbs.columns,
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null,
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new Dataframe.KeyIndex(["X", "Y"])
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);
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return df;
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}
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function reconcileSchemaCategoriesWithSummary(universe) {
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@@ -156,7 +125,7 @@ function reconcileSchemaCategoriesWithSummary(universe) {
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});
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}
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export function createUniverseFromRestV02Response(
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export function createUniverseFromResponse(
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configResponse,
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schemaResponse,
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annotationsObsResponse,
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@@ -178,15 +147,10 @@ export function createUniverseFromRestV02Response(
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universe.nVar = schema.dataframe.nVar;
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/* annotations */
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universe.obsAnnotations = RESTv02AnotationsFBSResponseToInternal(
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annotationsObsResponse
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);
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universe.varAnnotations = RESTv02AnotationsFBSResponseToInternal(
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annotationsVarResponse
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);
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universe.obsAnnotations = AnnotationsFBSToDataframe(annotationsObsResponse);
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universe.varAnnotations = AnnotationsFBSToDataframe(annotationsVarResponse);
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/* layout */
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universe.obsLayout = RESTv02LayoutFBSResponseToInternal(layoutFBSResponse);
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universe.obsLayout = LayoutFBSToDataframe(layoutFBSResponse);
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universe.summary = summarizeAnnotations(
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universe.schema,
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@@ -214,8 +178,8 @@ export function convertDataFBStoObject(universe, arrayBuffer) {
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const result = {};
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for (let c = 0; c < colIdx.length; c += 1) {
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const gene = universe.varAnnotations[colIdx[c]].name;
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result[gene] = columns[c];
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const varName = universe.varAnnotations.at(colIdx[c], "name");
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result[varName] = columns[c];
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}
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return result;
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}
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@@ -8,6 +8,7 @@ import Crossfilter from "../typedCrossfilter";
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import { sliceByIndex } from "../typedCrossfilter/util";
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/*
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World is a subset of universe. Most code should use world, and should
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(generally) not use Universe. World contains any per-obs or per-var data
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that must be consistent acorss the app when we view/manipulate subsets
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@@ -16,37 +17,32 @@ of Universe.
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Private API indicated by leading underscore in key name (eg, _foo). Anything else
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is public.
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World contains several public keys, obsAnnotations, and obsLayout, which are
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arrays contianing information about an OBS in the same order/offset. In
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other words, world.obsAnnotations[0] and world.obsLayout.X[0] refer to the same
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obs/cell.
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Notable keys in the world object:
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* nObs, nVar: dimensions
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* schema: data schema from the server
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* obsAnnotations:
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obsAnnotations will return an array of objects. Each object contains all annotation
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values for a given observation/cell, keyed by annotation name, PLUS a key
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'__cellId__', containing a REST API ID for this obs/cell (referred to as the
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obsIndex in the REST 0.2 spec or cellIndex in the 0.1 spec.
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Dataframe containing obs annotations. Columns are indexed by annotation
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name (eg, 'tissue type'), and rows are indexed by the REST API obsIndex
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(ie, the offset into the underlying server-side dataframe).
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Example: [ { __cellId__: 99, cluster: 'blue', numReads: 93933 } ]
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NOTE: world.obsAnnotation should be identical to the old state.cells value,
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EXCEPT that
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* __cellIndex__ renamed to __index__
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* __x__ and __y__ are now in world.obsLayout
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* __color__ and __colorRBG__ should be moved to controls reducer
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This indexing means that you can access data by _either_ the server's
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obxIndex, or the offset into the client-side column array . Be careful
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to know which you want and are using.
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* obsLayout:
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obsLayout will return an object containing two arrays, containing X and Y
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coordinates respectively.
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A dataframe containing the X/Y layout for all obs. Columns are named
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'X' and 'Y', and rows are indexed in the same way as obsAnnotation.
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Example: { X: [ 0.33, 0.23, ... ], Y: [ 0.8, 0.777, ... ]}
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* summary: summary of each obsAnnotation column (eg, numeric extent for
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continuous data, category counts for categorical metadata)
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* crossfilter - a crossfilter object across world.obsAnnotations
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* dimensionMap - an object mapping annotation names to dimensions on
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the crossfilter
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* varDataCache: expression columns, in a kvCache. TODO: maybe move to a
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Dataframe in the future.
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*/
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@@ -56,11 +52,6 @@ const VarDataCacheTTLMs = 1000; // min cache time in MS
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function templateWorld() {
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return {
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// map from universe obsIndex to world offset.
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// Undefined / null indicates identity mapping.
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obsIndex: null,
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obsBackIndex: null,
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/* schema/version related */
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api: null,
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schema: null,
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@@ -71,7 +62,7 @@ function templateWorld() {
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obsAnnotations: null,
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varAnnotations: null,
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/* layout of graph */
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/* layout of graph. Dataframe. */
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obsLayout: null,
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/* derived data summaries XXX: consider exploding in place */
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@@ -91,15 +82,6 @@ export function createWorldFromEntireUniverse(universe) {
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const world = templateWorld();
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// map from the universe obsIndex to our world offset.
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// undefined/null indicates identity map.
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// In other words obsBackIndex[universeIdx] -> worldIdx
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world.obsBackIndex = null;
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// Map to the universe index for each element in world.
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// Null indicates identity map (aka world === universe)
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// In other wrods obsIndex[worldIdx] -> universeIdx
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world.obsIndex = null;
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/*
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public interface follows
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*/
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@@ -143,35 +125,11 @@ export function createWorldFromCurrentSelection(universe, world, crossfilter) {
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newWorld.schema = universe.schema;
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newWorld.varAnnotations = universe.varAnnotations;
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/* build index maps and back maps based upon current selection state */
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const obsBackIndex = new Uint32Array(universe.nObs);
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obsBackIndex.fill(-1); // default - aka unused
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const notSelected = obsBackIndex[0];
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let nObs = 0;
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for (let i = 0; i < universe.nObs; i += 1) {
|
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if (crossfilter.isElementFiltered(i)) {
|
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obsBackIndex[i] = nObs;
|
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nObs += 1;
|
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}
|
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}
|
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const obsIndex = new Uint32Array(nObs);
|
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for (let i = 0; i < universe.nObs; i += 1) {
|
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const worldIdx = obsBackIndex[i];
|
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if (worldIdx !== notSelected) {
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obsIndex[worldIdx] = i;
|
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}
|
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}
|
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|
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newWorld.nObs = nObs;
|
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newWorld.obsIndex = obsIndex;
|
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newWorld.obsBackIndex = obsBackIndex;
|
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|
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/* now slice */
|
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newWorld.obsAnnotations = sliceByIndex(universe.obsAnnotations, obsIndex);
|
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newWorld.obsLayout = {
|
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X: sliceByIndex(universe.obsLayout.X, obsIndex),
|
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Y: sliceByIndex(universe.obsLayout.Y, obsIndex)
|
||||
};
|
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/* now subset/cut obs */
|
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const mask = crossfilter.allFilteredMask();
|
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newWorld.obsAnnotations = world.obsAnnotations.icutByMask(mask);
|
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newWorld.obsLayout = world.obsLayout.icutByMask(mask);
|
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newWorld.nObs = newWorld.obsAnnotations.dims[0];
|
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|
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/* derived data & summaries */
|
||||
newWorld.summary = summarizeAnnotations(
|
||||
@@ -245,22 +203,23 @@ export function createObsDimensionMap(crossfilter, world) {
|
||||
create and return a crossfilter dimension for every obs annotation
|
||||
for which we have a supported type.
|
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*/
|
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const { schema, obsLayout } = world;
|
||||
const { schema, obsLayout, obsAnnotations } = world;
|
||||
|
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// Create a crossfilter dimension for all obs annotations *except* 'name'
|
||||
const dimensionMap = _(schema.annotations.obs)
|
||||
.filter(anno => anno.name !== "name")
|
||||
.transform((result, anno) => {
|
||||
const dimType = deduceDimensionType(anno, anno.name);
|
||||
const colData = obsAnnotations.col(anno.name).asArray();
|
||||
if (dimType === "enum") {
|
||||
result[obsAnnoDimensionName(anno.name)] = crossfilter.dimension(
|
||||
Crossfilter.EnumDimension,
|
||||
r => r[anno.name]
|
||||
colData
|
||||
);
|
||||
} else {
|
||||
} else if (dimType) {
|
||||
result[obsAnnoDimensionName(anno.name)] = crossfilter.dimension(
|
||||
Crossfilter.ScalarDimension,
|
||||
r => r[anno.name],
|
||||
colData,
|
||||
dimType
|
||||
);
|
||||
} // else ignore the annotation
|
||||
@@ -272,8 +231,8 @@ export function createObsDimensionMap(crossfilter, world) {
|
||||
*/
|
||||
dimensionMap[layoutDimensionName("XY")] = crossfilter.dimension(
|
||||
Crossfilter.SpatialDimension,
|
||||
obsLayout.X,
|
||||
obsLayout.Y
|
||||
obsLayout.col("X").asArray(),
|
||||
obsLayout.col("Y").asArray()
|
||||
);
|
||||
|
||||
return dimensionMap;
|
||||
@@ -288,5 +247,23 @@ export function subsetVarData(world, universe, varData) {
|
||||
if (worldEqUniverse(world, universe)) {
|
||||
return varData;
|
||||
}
|
||||
return sliceByIndex(varData, world.obsIndex);
|
||||
return sliceByIndex(varData, world.obsAnnotations.rowIndex.keys());
|
||||
}
|
||||
|
||||
export function getSelectedByIndex(crossfilter) {
|
||||
/*
|
||||
return array of obsIndex, containing all selected obs/cells.
|
||||
*/
|
||||
const selected = crossfilter.allFilteredMask(); // array of bool-ish
|
||||
const keys = crossfilter.data.rowIndex.keys(); // row keys, aka universe rowIndex
|
||||
|
||||
const set = new Int32Array(selected.length);
|
||||
let numElems = 0;
|
||||
for (let i = 0, l = selected.length; i < l; i += 1) {
|
||||
if (selected[i]) {
|
||||
set[numElems] = keys[i];
|
||||
numElems += 1;
|
||||
}
|
||||
}
|
||||
return new Int32Array(set.buffer, 0, numElems);
|
||||
}
|
||||
|
||||
@@ -18,13 +18,23 @@ Map {
|
||||
...
|
||||
}
|
||||
|
||||
Parameters are:
|
||||
- dim1: dimension 1 name/label
|
||||
- dim2: dimension 2 name/label
|
||||
- df: dataframe containing dim1 and dim2 on the column axis
|
||||
|
||||
*/
|
||||
function _countCategoryValues2D(dim1, dim2, rows) {
|
||||
function _countCategoryValues2D(dim1, dim2, df) {
|
||||
const dimMap = new Map();
|
||||
for (let r = 0; r < rows.length; r += 1) {
|
||||
const row = rows[r];
|
||||
const val1 = row[dim1];
|
||||
const val2 = row[dim2];
|
||||
const col1 = df.col(dim1) ? df.col(dim1).asArray() : null;
|
||||
const col2 = df.col(dim2) ? df.col(dim2).asArray() : null;
|
||||
if (!col1 || !col2) {
|
||||
return dimMap;
|
||||
}
|
||||
|
||||
for (let r = 0, l = df.length; r < l; r += 1) {
|
||||
const val1 = col1[r];
|
||||
const val2 = col2[r];
|
||||
let d2Map = dimMap.get(val1);
|
||||
if (d2Map === undefined) {
|
||||
d2Map = new Map();
|
||||
|
||||
Reference in New Issue
Block a user