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rapidsai_public_repos/node/modules/sql
|
rapidsai_public_repos/node/modules/sql/src/json_plan.ts
|
// Copyright (c) 2021, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import {spawnSync} from 'child_process';
export const json_plan_py = (algebra: string, shouldFormat: 'True'|'False' = 'False') => {
const {stderr, stdout} =
spawnSync('python3', [
'-c',
`
import collections
import json
import re
__all__ = ["get_json_plan", "format_json_plan"]
def visitJson(data, result, level):
level += 1
isValid = True
while isValid:
if "expr" in data:
result += (" " * level) + data["expr"] + "\\n"
if "children" in data:
if data["children"] != "":
lenData = len(data["children"])
for i in range(lenData):
result = visitJson(data["children"][i], result, level)
return result
else:
return result
def format_json_plan(json_plan):
data = json.loads(json_plan)
result = ""
result = visitJson(data, result, -1)
return result
def get_json_plan(algebra):
lines = algebra.split("\\n")
lines = _replace_indentation_for_tabs(lines)
lines = list(filter(None, lines))
list_step = _lines_to_list_steps(lines)
return _visit(list_step)
def _is_double_children(expr):
return "LogicalJoin" in expr or "LogicalUnion" in expr
def _visit(lines):
deque = collections.deque()
root_level = 0
dicc = {"expr": lines[root_level][1], "children": []}
processed = set()
for index in range(len(lines)):
child_level, expr = lines[index]
if child_level == root_level + 1:
new_dicc = {"expr": expr, "children": []}
if (len(dicc["children"]) == 0):
dicc["children"] = [new_dicc]
else:
dicc["children"].append(new_dicc)
deque.append((index, child_level, expr, new_dicc))
processed.add(index)
for index in processed:
lines[index][0] = -1
while len(deque) > 0:
curr_index, curr_level, curr_expr, curr_dicc = deque.pop()
processed = set()
if curr_index < len(lines) - 1: # is brother
child_level, expr = lines[curr_index + 1]
if child_level == curr_level:
continue
elif child_level == curr_level + 1:
index = curr_index + 1
if _is_double_children(curr_expr):
while index < len(lines) and len(curr_dicc["children"]) < 2:
child_level, expr = lines[index]
if child_level == curr_level + 1:
new_dicc = {"expr": expr, "children": []}
if len(curr_dicc["children"]) == 0:
curr_dicc["children"] = [new_dicc]
else:
curr_dicc["children"].append(new_dicc)
processed.add(index)
deque.append((index, child_level, expr, new_dicc))
index += 1
else:
while index < len(lines) and len(curr_dicc["children"]) < 1:
child_level, expr = lines[index]
if child_level == curr_level + 1:
new_dicc = {"expr": expr, "children": []}
if len(curr_dicc["children"]) == 0:
curr_dicc["children"] = [new_dicc]
else:
curr_dicc["children"].append(new_dicc)
processed.add(index)
deque.append((index, child_level, expr, new_dicc))
index += 1
for index in processed:
lines[index][0] = -1
return json.dumps(dicc)
def _validate_indendation(indentation_type, current_indentation):
if not current_indentation:
return
match = re.search("^(" + indentation_type + ")+$", current_indentation)
if not match:
raise Exception(
"Indentation invalid, current indentation is ("
+ indentation_type
+ "), but ("
+ current_indentation
+ ") was received."
)
def _replace_indentation_for_tabs(lines):
indentation_type = ""
for i in range(len(lines)):
lines[i] = lines[i].rstrip()
match = re.search(r"(^\\s+)(.*)", lines[i])
if match:
if not indentation_type:
indentation_type = match.group(1)
else:
_validate_indendation(indentation_type, match.group(1))
expr = match.group(2)
else:
expr = lines[i]
beginning_spaces = len(lines[i]) - len(expr)
if beginning_spaces > 0:
lines[i] = ("\\t" * (beginning_spaces // len(indentation_type))) + expr
return lines
def _lines_to_list_steps(lines):
# It also removes the tabs in each expression
list_step = []
for i in range(len(lines)):
line = lines[i]
level = line.count("\\t")
list_step.append([level, line.replace("\\t", "")])
return list_step
if ${shouldFormat}:
print(format_json_plan("""${algebra}"""))
else:
print(get_json_plan("""${algebra}"""))
`
]);
if (stderr.length) { throw new Error('' + stderr.toString()); }
return '' + stdout.toString();
};
| 0 |
rapidsai_public_repos/node/modules/sql
|
rapidsai_public_repos/node/modules/sql/src/addon.cpp
|
// Copyright (c) 2021-2022, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include <blazingsql_wrapper/api.hpp>
#include <blazingsql_wrapper/cache.hpp>
#include <blazingsql_wrapper/graph.hpp>
#include <nv_node/utilities/args.hpp>
struct rapidsai_sql : public nv::EnvLocalAddon, public Napi::Addon<rapidsai_sql> {
rapidsai_sql(Napi::Env env, Napi::Object exports) : nv::EnvLocalAddon(env, exports) {
DefineAddon(
exports,
{
InstanceMethod("init", &rapidsai_sql::InitAddon),
InstanceValue("_cpp_exports", _cpp_exports.Value()),
InstanceValue("Context", InitClass<nv::blazingsql::Context>(env, exports)),
InstanceValue("UcpContext", InitClass<nv::blazingsql::UcpContext>(env, exports)),
InstanceValue("CacheMachine", InitClass<nv::blazingsql::CacheMachine>(env, exports)),
InstanceValue("ExecutionGraph", InitClass<nv::blazingsql::ExecutionGraph>(env, exports)),
InstanceMethod<&rapidsai_sql::parse_schema>("parseSchema"),
InstanceMethod<&rapidsai_sql::get_table_scan_info>("getTableScanInfo"),
InstanceMethod<&rapidsai_sql::run_generate_physical_graph>("runGeneratePhysicalGraph"),
});
}
private:
Napi::Value get_table_scan_info(Napi::CallbackInfo const& info) {
auto env = info.Env();
auto [names, steps] = nv::blazingsql::get_table_scan_info(info[0].ToString());
Napi::Array table_names = Napi::Array::New(env, names.size());
Napi::Array table_scans = Napi::Array::New(env, steps.size());
for (std::size_t i = 0; i < names.size(); ++i) {
table_names[i] = Napi::String::New(env, names[i]);
}
for (std::size_t i = 0; i < steps.size(); ++i) {
table_scans[i] = Napi::String::New(env, steps[i]);
}
auto result = Napi::Array::New(env, 2);
result.Set(0u, table_names);
result.Set(1u, table_scans);
return result;
}
Napi::Value run_generate_physical_graph(Napi::CallbackInfo const& info) {
auto env = info.Env();
nv::CallbackArgs args{info};
std::vector<std::string> worker_ids = args[0];
int32_t ctx_token = args[1];
std::string query = args[2];
return Napi::String::New(
env, nv::blazingsql::run_generate_physical_graph(0, worker_ids, ctx_token, query));
}
Napi::Value parse_schema(Napi::CallbackInfo const& info) {
auto env = info.Env();
nv::CallbackArgs args{info};
std::vector<std::string> input = args[0];
std::string file_type = args[1];
return nv::blazingsql::parse_schema(env, input, file_type, false);
}
};
NODE_API_ADDON(rapidsai_sql);
| 0 |
rapidsai_public_repos/node/modules/sql
|
rapidsai_public_repos/node/modules/sql/src/addon.ts
|
// Copyright (c) 2021-2022, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
/* eslint-disable @typescript-eslint/no-redeclare */
import {addon as CORE} from '@rapidsai/core';
import {addon as CUDA} from '@rapidsai/cuda';
import {addon as CUDF} from '@rapidsai/cudf';
import {addon as RMM} from '@rapidsai/rmm';
export const {
parseSchema,
getTableScanInfo,
runGeneratePhysicalGraph,
Context,
UcpContext,
ExecutionGraph,
_cpp_exports,
} = require('bindings')('rapidsai_sql.node').init(CORE, CUDA, RMM, CUDF) as
typeof import('./rapidsai_sql');
export type getTableScanInfo = typeof import('./rapidsai_sql').getTableScanInfo;
export type runGeneratePhysicalGraph = typeof import('./rapidsai_sql').runGeneratePhysicalGraph;
export type parseSchema = typeof import('./rapidsai_sql').parseSchema;
export type Context = import('./rapidsai_sql').Context;
export type UcpContext = import('./rapidsai_sql').UcpContext;
export type ExecutionGraph = import('./rapidsai_sql').ExecutionGraph;
export type ContextProps = import('./rapidsai_sql').ContextProps;
export type WorkerUcpInfo = import('./rapidsai_sql').WorkerUcpInfo;
| 0 |
rapidsai_public_repos/node/modules/sql/src
|
rapidsai_public_repos/node/modules/sql/src/cluster/remote.ts
|
// Copyright (c) 2021, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
/* eslint-disable @typescript-eslint/no-unused-vars */
/* eslint-disable @typescript-eslint/await-thenable */
import {ChildProcess, fork} from 'child_process';
import {nanoid} from 'nanoid';
import * as Path from 'path';
import {ContextProps} from '../addon';
import {SQLCluster, Worker} from '../cluster';
const remoteWorkerPath =
Path.resolve(__dirname.includes('/src') ? `${__dirname}/../../build/js/cluster/worker.js`
: `${__dirname}/worker.js`);
export class RemoteSQLWorker implements Worker {
declare public readonly id: number;
declare private _proc: ChildProcess;
declare private _jobs: Map<string, {
promise: Promise<any>,
resolve: (val: any) => any,
reject: (err?: any) => any,
}>;
declare private _cluster: SQLCluster;
constructor(cluster: SQLCluster, id: number, env: any = {...process.env}) {
this.id = id;
this._jobs = new Map();
this._cluster = cluster;
this._proc = fork(remoteWorkerPath, {env})
.on('message', this._recv.bind(this))
.on('exit', this._onExit.bind(this))
.on('error', this._onError.bind(this))
.on('close', this._onClose.bind(this))
.on('disconnect', this._onDisconnect.bind(this));
}
public kill() {
if (this._connected) {
this._proc.send({type: 'exit', code: 0});
this._proc.kill();
}
}
public createContext(props: Omit<ContextProps, 'id'>) {
const {id} = this, port = props.port + id;
return this._send({type: 'init', ...props, id, port}).then(() => undefined);
}
public createDataFrameTable(name: string, table_id: string) {
return this._send({type: 'createDataFrameTable', name, table_id}).then(() => undefined);
}
public createCSVTable(name: string, paths: string[]) {
return this._send({type: 'createCSVTable', name, paths}).then(() => undefined);
}
public createParquetTable(name: string, paths: string[]) {
return this._send({type: 'createParquetTable', name, paths}).then(() => undefined);
}
public createORCTable(name: string, paths: string[]) {
return this._send({type: 'createORCTable', name, paths}).then(() => undefined);
}
public dropTable(name: string) {
return this._send({type: 'dropTable', name}).then(() => undefined);
}
public sql(query: string, token: number) {
return this._send({type: 'sql', query, token, destinationId: this._cluster.context.id})
.then(({messageIds}: {messageIds: string[]}) => {
return Promise.all(messageIds.map((messageId: string) => {
return this._cluster.context.pull(messageId).then((df) => {
// eslint-disable-next-line @typescript-eslint/no-floating-promises
this._send({type: 'release', messageId});
return df;
});
}));
});
}
private _send({type, ...rest}: any = {}) {
if (this._connected) {
const uuid = nanoid();
this._jobs.set(uuid, promiseSubject());
this._proc.send({type, uuid, ...rest});
// eslint-disable-next-line @typescript-eslint/no-non-null-assertion
return this._jobs.get(uuid)!.promise;
}
return Promise.resolve({});
}
private _recv({error, ...rest}: any = {}) {
const {uuid} = rest;
if (uuid && this._jobs.has(uuid)) {
// eslint-disable-next-line @typescript-eslint/no-non-null-assertion
const {resolve, reject} = this._jobs.get(uuid)!;
this._jobs.delete(uuid);
(error != null) ? reject(error) : resolve(rest);
}
}
private get _connected() { return this._proc && !this._proc.killed; }
private _onExit(..._: any[]) {
// console.log(`worker ${this.id} exit`, ..._);
}
private _onError(..._: any[]) {
// console.log(`worker ${this.id} error`, ..._);
}
private _onClose(..._: any[]) {
// console.log(`worker ${this.id} close`, ..._);
}
private _onDisconnect(..._: any[]) {
// console.log(`worker ${this.id} disconnect`, ..._);
}
}
function promiseSubject() {
let resolve = (_x: any) => {};
let reject = (_er: any) => {};
const promise = new Promise((r1, r2) => {
resolve = r1;
reject = r2;
});
return {promise, resolve, reject};
}
| 0 |
rapidsai_public_repos/node/modules/sql/src
|
rapidsai_public_repos/node/modules/sql/src/cluster/worker.ts
|
// Copyright (c) 2021, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import {DataFrame} from '@rapidsai/cudf';
import {ContextProps, UcpContext} from '../addon';
import {SQLContext} from '../context';
let context: SQLContext;
const allInFlightTables: Record<string, DataFrame> = {};
function die({code = 0}: any) { process.exit(code); }
// eslint-disable-next-line @typescript-eslint/no-unused-vars
function init({uuid, ...props}: {uuid: string}&ContextProps) {
context = new SQLContext({...props, ucpContext: new UcpContext()});
}
function dropTable({name}: {name: string}) { context.dropTable(name); }
async function createDataFrameTable({name, table_id}: {name: string, table_id: string}) {
const table = await context.pull(table_id);
context.createDataFrameTable(name, table);
}
function createCSVTable({name, paths}: {name: string, paths: string[]}) {
context.createCSVTable(name, paths);
}
function createParquetTable({name, paths}: {name: string, paths: string[]}) {
context.createParquetTable(name, paths);
}
function createORCTable({name, paths}: {name: string, paths: string[]}) {
context.createORCTable(name, paths);
}
async function sql({query, token, destinationId}:
{uuid: string, query: string, token: number; destinationId: number}) {
const newInFlightTables = await context.sql(query, token).sendTo(destinationId);
Object.assign(allInFlightTables, newInFlightTables);
return {messageIds: Object.keys(newInFlightTables)};
}
function release({messageId}: {messageId: string}) {
const df = allInFlightTables[messageId];
if (df) {
delete allInFlightTables[messageId];
df.dispose();
}
}
process.on('message', ({type, ...opts}: any) => {
// eslint-disable-next-line @typescript-eslint/no-floating-promises
(async () => {
switch (type) {
case 'kill': return die(opts);
case 'init': return init(opts);
case 'sql': return await sql(opts);
case 'release': return release(opts);
case 'dropTable': return dropTable(opts);
case 'createDataFrameTable': return await createDataFrameTable(opts);
case 'createCSVTable': return createCSVTable(opts);
case 'createParquetTable': return createParquetTable(opts);
case 'createORCTable': return createORCTable(opts);
}
return {};
})()
.catch((error) => {
if (opts.uuid && process.send) {
process.send({
error: {message: error?.message || 'Unknown error', stack: error?.stack},
uuid: opts.uuid
});
}
})
.then((res: any) => {
if (opts.uuid && process.send) { process.send({...res, uuid: opts.uuid}); }
});
});
| 0 |
rapidsai_public_repos/node/modules/sql/src
|
rapidsai_public_repos/node/modules/sql/src/cluster/local.ts
|
// Copyright (c) 2021-2022, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
/* eslint-disable @typescript-eslint/await-thenable */
import {ContextProps, UcpContext} from '../addon';
import {Worker} from '../cluster';
import {SQLContext} from '../context';
export class LocalSQLWorker implements Worker {
declare public readonly id: number;
declare public context: SQLContext;
constructor(id: number) { this.id = id; }
public kill() {}
public createContext(props: Omit<ContextProps, 'id'>) {
return new Promise<void>((resolve) => {
const {id} = this, port = props.port + id;
this.context = new SQLContext({...props, id, port, ucpContext: new UcpContext});
resolve();
});
}
public async createDataFrameTable(name: string, table_id: string) {
const table = await this.context.pull(table_id);
this.context.createDataFrameTable(name, table);
}
public async createCSVTable(name: string, paths: string[]) {
await this.context.createCSVTable(name, paths);
}
public async createParquetTable(name: string, paths: string[]) {
await this.context.createParquetTable(name, paths);
}
public async createORCTable(name: string, paths: string[]) {
await this.context.createORCTable(name, paths);
}
public async dropTable(name: string) { await this.context.dropTable(name); }
public async sql(query: string, token: number) { return await this.context.sql(query, token); }
}
| 0 |
rapidsai_public_repos/node/modules/sql
|
rapidsai_public_repos/node/modules/sql/test/sql-cluster-io-tests.ts
|
// Copyright (c) 2021, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import {DataFrame, Float64, Int64, Series, Utf8String} from '@rapidsai/cudf';
import {SQLCluster} from '@rapidsai/sql';
import {promises} from 'fs';
import * as Path from 'path';
describe('CSV', () => {
test('create, list, describe, and drop CSV table', async () => {
const rows = [
{a: 0, b: 0.0, c: 'foo'},
{a: 1, b: 1.1, c: 'bar'},
{a: 2, b: 2.2, c: 'foo'},
];
const path = Path.join(tmpDir, 'simple.csv');
await promises.writeFile(path, makeCSVString({rows}));
const sqlContext = await SQLCluster.init({numWorkers: 2});
await sqlContext.createCSVTable('test_table', [path]);
expect(sqlContext.listTables()).toEqual(['test_table']);
const tableDescription = sqlContext.describeTable('test_table');
expect([...tableDescription.keys()]).toEqual(['a', 'b', 'c']);
expect([...tableDescription.values()]).toEqual([new Int64, new Float64, new Utf8String]);
await sqlContext.dropTable('test_table');
expect(sqlContext.listTables().length).toEqual(0);
});
test('query CSV table', async () => {
const rows = [
{a: 0, b: 0.0, c: 'foo'},
{a: 1, b: 1.1, c: 'bar'},
{a: 2, b: 2.2, c: 'foo'},
];
const path = Path.join(tmpDir, 'simple.csv');
await promises.writeFile(path, makeCSVString({rows}));
const sqlContext = await SQLCluster.init({numWorkers: 2});
await sqlContext.createCSVTable('test_table', [path]);
await expect(sqlContext.sql('SELECT c FROM test_table')).resolves.toStrictEqual([new DataFrame(
{'c': Series.new(['foo', 'bar', 'foo'])})]);
});
});
describe('Parquet', () => {
test('create, list, describe, and drop Parquet table', async () => {
const a = Series.new([1.0, 2.0, 3.0]);
const b = Series.new(['foo', 'bar', 'foo']);
const df = new DataFrame({'a': a, 'b': b});
const path = Path.join(tmpDir, 'simple.parquet');
df.toParquet(path);
const sqlContext = await SQLCluster.init({numWorkers: 2});
await sqlContext.createParquetTable('test_table', [path]);
expect(sqlContext.listTables()).toEqual(['test_table']);
const tableDescription = sqlContext.describeTable('test_table');
expect([...tableDescription.keys()]).toEqual(['a', 'b']);
expect([...tableDescription.values()]).toEqual([new Float64, new Utf8String]);
await sqlContext.dropTable('test_table');
expect(sqlContext.listTables().length).toEqual(0);
});
test('query Parquet table', async () => {
const a = Series.new([1.0, 2.0, 3.0]);
const b = Series.new(['foo', 'bar', 'foo']);
const df = new DataFrame({'a': a, 'b': b});
const path = Path.join(tmpDir, 'simple.parquet');
df.toParquet(path);
const sqlContext = await SQLCluster.init({numWorkers: 2});
await sqlContext.createParquetTable('test_table', [path]);
await expect(sqlContext.sql('SELECT b FROM test_table')).resolves.toStrictEqual([new DataFrame(
{'b': Series.new(['foo', 'bar', 'foo'])})]);
});
});
describe('ORC', () => {
test('create, list, describe, and drop ORC table', async () => {
const a = Series.new([1.0, 2.0, 3.0]);
const b = Series.new(['foo', 'bar', 'foo']);
const df = new DataFrame({'a': a, 'b': b});
const path = Path.join(tmpDir, 'simple.orc');
df.toORC(path);
const sqlContext = await SQLCluster.init({numWorkers: 2});
await sqlContext.createORCTable('test_table', [path]);
expect(sqlContext.listTables()).toEqual(['test_table']);
const tableDescription = sqlContext.describeTable('test_table');
expect([...tableDescription.keys()]).toEqual(['a', 'b']);
expect([...tableDescription.values()]).toEqual([new Float64, new Utf8String]);
await sqlContext.dropTable('test_table');
expect(sqlContext.listTables().length).toEqual(0);
});
test('query ORC table', async () => {
const a = Series.new([1.0, 2.0, 3.0]);
const b = Series.new(['foo', 'bar', 'foo']);
const df = new DataFrame({'a': a, 'b': b});
const path = Path.join(tmpDir, 'simple.orc');
df.toORC(path);
const sqlContext = await SQLCluster.init({numWorkers: 2});
await sqlContext.createORCTable('test_table', [path]);
await expect(sqlContext.sql('SELECT b FROM test_table')).resolves.toStrictEqual([new DataFrame(
{'b': Series.new(['foo', 'bar', 'foo'])})]);
});
});
let tmpDir = '';
const rimraf = require('rimraf');
function makeCSVString(
opts: {rows?: any[], delimiter?: string, lineTerminator?: string, header?: boolean} = {}) {
const {rows = [], delimiter = ',', lineTerminator = '\n', header = true} = opts;
const names = Object.keys(rows.reduce(
(keys, row) => Object.keys(row).reduce((keys, key) => ({...keys, [key]: true}), keys), {}));
return [
...[header ? names.join(delimiter) : []],
...rows.map((row) =>
names.map((name) => row[name] === undefined ? '' : row[name]).join(delimiter))
].join(lineTerminator) +
lineTerminator;
}
beforeAll(async () => { //
tmpDir = await promises.mkdtemp(Path.join('/tmp', 'node_sql'));
});
afterAll(() => {
return new Promise<void>((resolve, reject) => { //
rimraf(tmpDir, (err?: Error|null) => err ? reject(err) : resolve());
});
});
| 0 |
rapidsai_public_repos/node/modules/sql
|
rapidsai_public_repos/node/modules/sql/test/tsconfig.json
|
{
"extends": "../tsconfig.json",
"include": [
"../src/**/*.ts",
"../test/**/*.ts"
],
"compilerOptions": {
"target": "esnext",
"module": "commonjs",
"allowJs": true,
"importHelpers": false,
"noEmitHelpers": false,
"noEmitOnError": false,
"sourceMap": false,
"inlineSources": false,
"inlineSourceMap": false,
"downlevelIteration": false,
"baseUrl": "../",
"paths": {
"@rapidsai/sql": ["src/index"],
"@rapidsai/sql/*": ["src/*"]
}
}
}
| 0 |
rapidsai_public_repos/node/modules/sql
|
rapidsai_public_repos/node/modules/sql/test/sql-context-io-tests.ts
|
// Copyright (c) 2021, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import {DataFrame, Float64, Int64, Series, Utf8String} from '@rapidsai/cudf';
import {SQLContext} from '@rapidsai/sql';
import {promises} from 'fs';
import * as Path from 'path';
describe('CSV', () => {
test('create, list, describe, and drop CSV table', async () => {
const rows = [
{a: 0, b: 0.0, c: 'foo'},
{a: 1, b: 1.1, c: 'bar'},
{a: 2, b: 2.2, c: 'foo'},
];
const path = Path.join(tmpDir, 'simple.csv');
await promises.writeFile(path, makeCSVString({rows}));
const sqlContext = new SQLContext();
sqlContext.createCSVTable('test_table', [path]);
expect(sqlContext.listTables()).toEqual(['test_table']);
const tableDescription = sqlContext.describeTable('test_table');
expect([...tableDescription.keys()]).toEqual(['a', 'b', 'c']);
expect([...tableDescription.values()]).toEqual([new Int64, new Float64, new Utf8String]);
sqlContext.dropTable('test_table');
expect(sqlContext.listTables().length).toEqual(0);
});
test('query CSV table', async () => {
const rows = [
{a: 0, b: 0.0, c: 'foo'},
{a: 1, b: 1.1, c: 'bar'},
{a: 2, b: 2.2, c: 'foo'},
];
const path = Path.join(tmpDir, 'simple.csv');
await promises.writeFile(path, makeCSVString({rows}));
const sqlContext = new SQLContext();
sqlContext.createCSVTable('test_table', [path]);
await expect(sqlContext.sql('SELECT c FROM test_table').result()).resolves.toStrictEqual([
new DataFrame({'c': Series.new(['foo', 'bar', 'foo'])})
]);
});
});
describe('Parquet', () => {
test('create, list, describe, and drop Parquet table', () => {
const a = Series.new([1.0, 2.0, 3.0]);
const b = Series.new(['foo', 'bar', 'foo']);
const df = new DataFrame({'a': a, 'b': b});
const path = Path.join(tmpDir, 'simple.parquet');
df.toParquet(path);
const sqlContext = new SQLContext();
sqlContext.createParquetTable('test_table', [path]);
expect(sqlContext.listTables()).toEqual(['test_table']);
const tableDescription = sqlContext.describeTable('test_table');
expect([...tableDescription.keys()]).toEqual(['a', 'b']);
expect([...tableDescription.values()]).toEqual([new Float64, new Utf8String]);
sqlContext.dropTable('test_table');
expect(sqlContext.listTables().length).toEqual(0);
});
test('query Parquet table', async () => {
const a = Series.new([1.0, 2.0, 3.0]);
const b = Series.new(['foo', 'bar', 'foo']);
const df = new DataFrame({'a': a, 'b': b});
const path = Path.join(tmpDir, 'simple.parquet');
df.toParquet(path);
const sqlContext = new SQLContext();
sqlContext.createParquetTable('test_table', [path]);
await expect(sqlContext.sql('SELECT b FROM test_table').result()).resolves.toStrictEqual([
new DataFrame({'b': Series.new(['foo', 'bar', 'foo'])})
]);
});
});
describe('ORC', () => {
test('create, list, describe, and drop ORC table', () => {
const a = Series.new([1.0, 2.0, 3.0]);
const b = Series.new(['foo', 'bar', 'foo']);
const df = new DataFrame({'a': a, 'b': b});
const path = Path.join(tmpDir, 'simple.orc');
df.toORC(path);
const sqlContext = new SQLContext();
sqlContext.createORCTable('test_table', [path]);
expect(sqlContext.listTables()).toEqual(['test_table']);
const tableDescription = sqlContext.describeTable('test_table');
expect([...tableDescription.keys()]).toEqual(['a', 'b']);
expect([...tableDescription.values()]).toEqual([new Float64, new Utf8String]);
sqlContext.dropTable('test_table');
expect(sqlContext.listTables().length).toEqual(0);
});
test('query ORC table', async () => {
const a = Series.new([1.0, 2.0, 3.0]);
const b = Series.new(['foo', 'bar', 'foo']);
const df = new DataFrame({'a': a, 'b': b});
const path = Path.join(tmpDir, 'simple.orc');
df.toORC(path);
const sqlContext = new SQLContext();
sqlContext.createORCTable('test_table', [path]);
await expect(sqlContext.sql('SELECT b FROM test_table').result()).resolves.toStrictEqual([
new DataFrame({'b': Series.new(['foo', 'bar', 'foo'])})
]);
});
});
let tmpDir = '';
const rimraf = require('rimraf');
function makeCSVString(
opts: {rows?: any[], delimiter?: string, lineTerminator?: string, header?: boolean} = {}) {
const {rows = [], delimiter = ',', lineTerminator = '\n', header = true} = opts;
const names = Object.keys(rows.reduce(
(keys, row) => Object.keys(row).reduce((keys, key) => ({...keys, [key]: true}), keys), {}));
return [
...[header ? names.join(delimiter) : []],
...rows.map((row) =>
names.map((name) => row[name] === undefined ? '' : row[name]).join(delimiter))
].join(lineTerminator) +
lineTerminator;
}
beforeAll(async () => { //
tmpDir = await promises.mkdtemp(Path.join('/tmp', 'node_sql'));
});
afterAll(() => {
return new Promise<void>((resolve, reject) => { //
rimraf(tmpDir, (err?: Error|null) => err ? reject(err) : resolve());
});
});
| 0 |
rapidsai_public_repos/node/modules/sql
|
rapidsai_public_repos/node/modules/sql/test/sql-context-tests.ts
|
// Copyright (c) 2021-2022, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import {DataFrame, Float64, Series, Utf8String} from '@rapidsai/cudf';
import {SQLContext} from '@rapidsai/sql';
test('create and drop table', () => {
const a = Series.new([1, 2, 3]);
const df = new DataFrame({'a': a});
const sqlContext = new SQLContext();
sqlContext.createDataFrameTable('test_table', df);
expect(sqlContext.listTables().length).toEqual(1);
sqlContext.dropTable('test_table');
expect(sqlContext.listTables().length).toEqual(0);
});
test('list tables', () => {
const a = Series.new([1, 2, 3]);
const df = new DataFrame({'a': a});
const sqlContext = new SQLContext();
sqlContext.createDataFrameTable('test_table', df);
sqlContext.createDataFrameTable('test_table2', df);
expect(sqlContext.listTables()).toEqual(['test_table', 'test_table2']);
});
test('describe table', () => {
const a = Series.new([1, 2, 3]);
const b = Series.new(['foo', 'bar', 'foo']);
const df = new DataFrame({'a': a, 'b': b});
const sqlContext = new SQLContext();
// Empty map since table doesn't exist
expect(sqlContext.describeTable('nonexisting_table').size).toEqual(0);
sqlContext.createDataFrameTable('test_table', df);
const tableDescription = sqlContext.describeTable('test_table');
expect([...tableDescription.keys()]).toEqual(['a', 'b']);
expect([...tableDescription.values()]).toEqual([new Float64, new Utf8String]);
});
test('explain', () => {
const key = Series.new(['a', 'b', 'c', 'd', 'e']);
const val = Series.new([7.6, 2.9, 7.1, 1.6, 2.2]);
const df = new DataFrame({'key': key, 'val': val});
const sqlContext = new SQLContext();
sqlContext.createDataFrameTable('test_table', df);
const query = 'SELECT * FROM test_table WHERE val > 4';
expect(sqlContext.explain(query))
.toEqual(
`LogicalProject(key=[$0], val=[$1])
BindableTableScan(table=[[main, test_table]], filters=[[>($1, 4)]])
`);
expect(sqlContext.explain(query, true))
.toEqual(
`LogicalProject(key=[$0], val=[$1])
BindableTableScan(table=[[main, test_table]], filters=[[>($1, 4)]])
`);
});
test('select a single column', async () => {
const a = Series.new([6, 9, 1, 6, 2]);
const b = Series.new([7, 2, 7, 1, 2]);
const df = new DataFrame({'a': a, 'b': b});
const sqlContext = new SQLContext();
sqlContext.createDataFrameTable('test_table', df);
await expect(sqlContext.sql('SELECT a FROM test_table').result()).resolves.toStrictEqual([
new DataFrame({a})
]);
});
test('select all columns', async () => {
const a = Series.new([6, 9, 1, 6, 2]);
const b = Series.new([7, 2, 7, 1, 2]);
const df = new DataFrame({'a': a, 'b': b});
const sqlContext = new SQLContext();
sqlContext.createDataFrameTable('test_table', df);
await expect(sqlContext.sql('SELECT * FROM test_table').result()).resolves.toStrictEqual([
new DataFrame({'a': a, 'b': b})
]);
});
test('union columns from two tables', async () => {
const a = Series.new([1, 2, 3]);
const df1 = new DataFrame({'a': a});
const df2 = new DataFrame({'a': a});
const sqlContext = new SQLContext();
sqlContext.createDataFrameTable('t1', df1);
sqlContext.createDataFrameTable('t2', df2);
await expect(sqlContext.sql('SELECT a FROM t1 AS a UNION ALL SELECT a FROM t2').result())
.resolves.toStrictEqual([new DataFrame({'a': Series.new([...a, ...a])})]);
});
test('find all columns within a table that meet condition', async () => {
const key = Series.new(['a', 'b', 'c', 'd', 'e']);
const val = Series.new([7.6, 2.9, 7.1, 1.6, 2.2]);
const df = new DataFrame({'key': key, 'val': val});
const sqlContext = new SQLContext();
sqlContext.createDataFrameTable('test_table', df);
await expect(sqlContext.sql('SELECT * FROM test_table WHERE val > 4').result())
.resolves.toStrictEqual(
[new DataFrame({'key': Series.new(['a', 'b']), 'val': Series.new([7.6, 7.1])})]);
});
test('empty sql result', async () => {
const key = Series.new(['a', 'b', 'c', 'd', 'e']);
const val = Series.new([7.6, 2.9, 7.1, 1.6, 2.2]);
const df = new DataFrame({'key': key, 'val': val});
const sqlContext = new SQLContext();
sqlContext.createDataFrameTable('test_table', df);
// Query should be empty since BETWEEN values are reversed.
await expect(sqlContext.sql('SELECT * FROM test_table WHERE val BETWEEN 10 AND 0').result())
.resolves.toStrictEqual([new DataFrame()]);
});
| 0 |
rapidsai_public_repos/node/modules/sql
|
rapidsai_public_repos/node/modules/sql/test/sql-cluster-tests.ts
|
// Copyright (c) 2021, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import {DataFrame, Float64, Series, Utf8String} from '@rapidsai/cudf';
import {SQLCluster} from '@rapidsai/sql';
let sqlCluster: SQLCluster;
beforeAll(async () => { sqlCluster = await SQLCluster.init({numWorkers: 2}); });
afterAll(() => { sqlCluster?.kill(); });
test('create and drop table', async () => {
const a = Series.new([1, 2, 3]);
const df = new DataFrame({'a': a});
await sqlCluster.createDataFrameTable('test_table', df);
expect(sqlCluster.listTables().length).toEqual(1);
await sqlCluster.dropTable('test_table');
expect(sqlCluster.listTables().length).toEqual(0);
});
test('list tables', async () => {
const a = Series.new([1, 2, 3]);
const df = new DataFrame({'a': a});
await sqlCluster.createDataFrameTable('test_table', df);
await sqlCluster.createDataFrameTable('test_table2', df);
expect(sqlCluster.listTables()).toEqual(['test_table', 'test_table2']);
});
test('describe table', async () => {
const a = Series.new([1, 2, 3]);
const b = Series.new(['foo', 'bar', 'foo']);
const df = new DataFrame({'a': a, 'b': b});
// Empty map since table doesn't exist
expect(sqlCluster.describeTable('nonexisting_table').size).toEqual(0);
await sqlCluster.createDataFrameTable('test_table', df);
const tableDescription = sqlCluster.describeTable('test_table');
expect([...tableDescription.keys()]).toEqual(['a', 'b']);
expect([...tableDescription.values()]).toEqual([new Float64, new Utf8String]);
});
test('explain', async () => {
const key = Series.new(['a', 'b', 'c', 'd', 'e']);
const val = Series.new([7.6, 2.9, 7.1, 1.6, 2.2]);
const df = new DataFrame({'key': key, 'val': val});
await sqlCluster.createDataFrameTable('test_table', df);
const query = 'SELECT * FROM test_table WHERE val > 4';
expect(sqlCluster.explain(query))
.toEqual(
`LogicalProject(key=[$0], val=[$1])
BindableTableScan(table=[[main, test_table]], filters=[[>($1, 4)]])
`);
expect(sqlCluster.explain(query, true))
.toEqual(
`LogicalProject(key=[$0], val=[$1])
BindableTableScan(table=[[main, test_table]], filters=[[>($1, 4)]])
`);
});
async function toArray(src: AsyncIterable<DataFrame>) {
const dfs = [];
for await (const df of src) { dfs.push(df); }
return dfs;
}
test('select a single column (one worker)', async () => {
const a = Series.new([6, 9, 1, 6, 2]);
const b = Series.new([7, 2, 7, 1, 2]);
const df = new DataFrame({'a': a, 'b': b});
await sqlCluster.createDataFrameTable('test_table', df);
const result = concat(await toArray(sqlCluster.sql('SELECT a FROM test_table')));
expect(result).toStrictEqual(new DataFrame({a}));
});
test('select all columns (one worker)', async () => {
const a = Series.new([6, 9, 1, 6, 2]);
const b = Series.new([7, 2, 7, 1, 2]);
const df = new DataFrame({'a': a, 'b': b});
await sqlCluster.createDataFrameTable('test_table', df);
const result = concat(await toArray(sqlCluster.sql('SELECT * FROM test_table')));
expect(result).toStrictEqual(new DataFrame({'a': a, 'b': b}));
});
test('union columns from two tables (one worker)', async () => {
const a = Series.new([1, 2, 3]);
const df1 = new DataFrame({'a': a});
const df2 = new DataFrame({'a': a});
await sqlCluster.createDataFrameTable('t1', df1);
await sqlCluster.createDataFrameTable('t2', df2);
const result =
concat(await toArray(sqlCluster.sql('SELECT a FROM t1 AS a UNION ALL SELECT a FROM t2')));
expect(result).toStrictEqual(new DataFrame({'a': Series.new([...a, ...a])}));
});
test('find all columns within a table that meet condition (one worker)', async () => {
const key = Series.new(['a', 'b', 'c', 'd', 'e']);
const val = Series.new([7.6, 2.9, 7.1, 1.6, 2.2]);
const df = new DataFrame({'key': key, 'val': val});
await sqlCluster.createDataFrameTable('test_table', df);
const result = concat(await toArray(sqlCluster.sql('SELECT * FROM test_table WHERE val > 4')));
expect(result).toStrictEqual(
new DataFrame({'key': Series.new(['a', 'b']), 'val': Series.new([7.6, 7.1])}));
});
test('empty sql result', async () => {
const key = Series.new(['a', 'b', 'c', 'd', 'e']);
const val = Series.new([7.6, 2.9, 7.1, 1.6, 2.2]);
const df = new DataFrame({'key': key, 'val': val});
await sqlCluster.createDataFrameTable('test_table', df);
// Query should be empty since BETWEEN values are reversed.
const result =
concat(await toArray(sqlCluster.sql('SELECT * FROM test_table WHERE val BETWEEN 10 AND 0')));
expect(result).toStrictEqual(new DataFrame({}));
});
function concat(dfs: DataFrame[]) {
let result = new DataFrame();
dfs.forEach((df) => { result = result.concat(df); });
return result;
}
| 0 |
rapidsai_public_repos/node/modules
|
rapidsai_public_repos/node/modules/demo/README.md
|
# Node RAPIDS Demos
### A collection of demos, templates, and applications showcasing the features and uses for Node RAPIDS.
<br/>
## Starting Demos
In a properly configured env or docker container, most demos can be selected from a list and started with:
```bash
yarn demo
```
Or directly with:
```bash
yarn demo modules/demo/graph
```
Or in most cases within each demo's folder with:
```bash
yarn start
```
## Data Requirements
Some demos require downloading datasets to run, while others have defaults included. See each demo's README for details.
<br/><br/>
# Demos List
## [Viz App](https://github.com/rapidsai/node/tree/main/modules/demo/viz-app) + [SSR Graph](https://github.com/rapidsai/node/tree/main/modules/demo/ssr/graph) | [YouTube Demo](https://youtu.be/zzOCIJ-K1dE)
### Streaming SSR graph visualization with nvENC webRTC to a browser app, using cuDF and cuGraph bindings *Note: future demo will have simplified startup*
<br/><br/>
## [Viz App](https://github.com/rapidsai/node/tree/main/modules/demo/viz-app) + [SSR Point Cloud](https://github.com/rapidsai/node/tree/main/modules/demo/ssr/graph) | [YouTube Demo](https://youtu.be/vCAiKIkCP3E)
### Streaming SSR point cloud visualization with nvENC webRTC to a browser *Note: future demo will have simplified startup*
<br/><br/>
## [Client Server](https://github.com/rapidsai/node/tree/main/modules/demo/client-server) | [YouTube Demo](https://youtu.be/H8E0HLiL9YA)
### Browser crossfilter visualization app with server side compute using cuDF
<br/><br/>
## [SQL](https://github.com/rapidsai/node/tree/main/modules/demo/sql/sql-cluster-server) | [YouTube Demo](https://youtu.be/EmwcMM_mYKA)
### Demo of multi-GPU SQL demo w/ a browser UI query builder
<br/><br/>
## [Node.js Notebook](https://github.com/rapidsai/node/tree/main/modules/cudf/notebooks) | [YouTube Demo](https://youtu.be/LbHpK8M3cV4)
### GPU accelerated data science in JupyterLab Notebook with Node.js
<br/><br/>
## [Spatial](https://github.com/rapidsai/node/tree/main/modules/demo/spatial)
### Using cuSpatial bindings of Quadtree to segment geospatial data
<br/><br/>
## [Graph](https://github.com/rapidsai/node/tree/main/modules/demo/graph)
### Using cuGraph bindings of FA2 to compute graph layout
<br/><br/>
## [UMAP](https://github.com/rapidsai/node/tree/main/modules/demo/umap)
### Using cuML bindings of UMAP to compute clusters
<br/><br/>
## [Deck.gl](https://github.com/rapidsai/node/tree/main/modules/demo/deck) | [Examples Page](https://deck.gl/examples)
### Running Deck.gl examples with OpenGL Server Side
<br/><br/>
## [Luma.gl](https://github.com/rapidsai/node/tree/main/modules/demo/luma) | [Examples Page](https://luma.gl/examples)
### Running (older) Luma.gl examples with OpenGL Server Side
<br/><br/>
## Misc Demos
### [Xterm](https://github.com/rapidsai/node/tree/main/modules/demo/xterm) | Emulating GPU rendered xterminal
### [tfjs weblGL](https://github.com/rapidsai/node/tree/main/modules/demo/tfjs/webgl-tests) | ( **Deprecated** ) bindings to tensorflow-js webGl test
### [tfjs RNN addition](https://github.com/rapidsai/node/tree/main/modules/demo/tfjs/addition-rnn) | ( **Deprecated** ) bindings to tensorflow-js addition demo
### [IPC](https://github.com/rapidsai/node/tree/main/modules/demo/ipc) | ( **Deprecated** ) Demo of Inter Process Communication between Python and Node.js
<br/><br/>
# Troubleshooting
## My GLFW window is blank:
If you have more than one GPU, for windowed (no browser) demos you must specify a display GPU by setting: `NVIDIA_VISIBLE_DEVICES=1` in the `.env` file, or docker command. Sometimes it takes a few seconds for things to load too.
## Starting the demo produced an error:
Make sure you have downloaded the required datasets, the data is not malformed, and it is in the correct location -usually `/data`.
If that does not work and if you are running a locally built environment, try rebuilding the module.
Some demo's may have stopped working - check our **[Issues](https://github.com/rapidsai/node/issues)** for details.
| 0 |
rapidsai_public_repos/node/modules/demo
|
rapidsai_public_repos/node/modules/demo/graph/package.json
|
{
"private": true,
"name": "@rapidsai/demo-graph",
"main": "index.js",
"version": "22.12.2",
"license": "Apache-2.0",
"author": "NVIDIA, Inc. (https://nvidia.com/)",
"maintainers": [
"Paul Taylor <[email protected]>"
],
"bin": "index.js",
"scripts": {
"start": "node --experimental-vm-modules --enable-source-maps --trace-uncaught index.js",
"watch": "find -type f | entr -c -d -r node --experimental-vm-modules --enable-source-maps --trace-uncaught index.js"
},
"dependencies": {
"@deck.gl/core": "8.8.10",
"@deck.gl/react": "8.8.10",
"@luma.gl/core": "8.5.16",
"@rapidsai/cuda": "~22.12.2",
"@rapidsai/cudf": "~22.12.2",
"@rapidsai/cugraph": "~22.12.2",
"@rapidsai/deck.gl": "~22.12.2",
"@rapidsai/glfw": "~22.12.2",
"@rapidsai/jsdom": "~22.12.2",
"ix": "4.4.1",
"mjolnir.js": "2.7.1",
"react": "17.0.2",
"react-dom": "17.0.2"
},
"files": [
"src",
"index.js",
"package.json"
]
}
| 0 |
rapidsai_public_repos/node/modules/demo
|
rapidsai_public_repos/node/modules/demo/graph/index.js
|
#!/usr/bin/env node
// Copyright (c) 2020-2021, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
module.exports = (glfwOptions = {
title: 'Graph Demo',
visible: true,
transparent: false,
}) => {
let args = process.argv.slice(2);
if (args.length === 1 && args[0].includes(' ')) { args = args[0].split(' '); }
const parseArg = (prefix, fallback = '') =>
(args.find((arg) => arg.includes(prefix)) || `${prefix}${fallback}`).slice(prefix.length);
const delay = Math.max(0, parseInt(parseArg('--delay=', 0)) | 0);
async function* inputs(delay, paths) {
const sleep = (t) => new Promise((r) => setTimeout(r, t));
for (const path of paths.split(',')) {
if (path) { yield path; }
await sleep(delay);
}
}
return require('@rapidsai/jsdom')
.RapidsJSDOM.fromReactComponent(
'./src/app.jsx',
{
glfwOptions: {
...glfwOptions,
width: parseInt(parseArg('--width=', 800)) | 0,
height: parseInt(parseArg('--height=', 600)) | 0,
},
// Change cwd to the example dir so relative file paths are resolved
module: {path: __dirname},
},
{
nodes: inputs(delay, parseArg('--nodes=')),
edges: inputs(delay, parseArg('--edges=')),
layoutParams: JSON.parse(`{${parseArg('--params=')}}`),
});
};
if (require.main === module) {
module.exports().window.addEventListener('close', () => process.exit(0), {once: true});
}
| 0 |
rapidsai_public_repos/node/modules/demo
|
rapidsai_public_repos/node/modules/demo/graph/README.md
|
# Simple Graph Demo
A simple graph visualization powered by cuGraph and deck.gl, using a glfw instance. While running, you can select parameters by using the up/down arrow keys or 1-9 and adjust by using left/right arrow keys. Pan and zoom with a mouse.
## Featured Dependencies
- @rapidsai/cudf
- @rapidsai/cuspatial
- @rapidsai/jsdom
- @rapidsai/deckgl
- @rapidsai/glfw
## Data Requirements
Without passing data, graph demo will default to internal data. Passing graph data assumes a node and edge `.csv` format in `/data` folder.
## Start
Example of starting the graph demo with selected data and preset parameters:
```bash
yarn start
--width=1920 --height=1080 \
--nodes=data/netscience.nodes.csv \
--edges=data/netscience.edges.csv \
--params='"autoCenter":1,"outboundAttraction":1,"strongGravityMode":1,"jitterTolerance":0.02,"barnesHutTheta":0,"scalingRatio":2,"gravity":0.5,"controlsVisible":0'
```
| 0 |
rapidsai_public_repos/node/modules/demo
|
rapidsai_public_repos/node/modules/demo/graph/Graph Demo.ipynb
|
var graphDemoWindow = require('@rapidsai/demo-graph');
graphDemoWindow.open({
_title: 'Graph Demo',
width: 1024,
height: 768,
layoutParams: {
scalingRatio: 5,
autoCenter: false,
}
})
| 0 |
rapidsai_public_repos/node/modules/demo/graph
|
rapidsai_public_repos/node/modules/demo/graph/src/loader.js
|
// Copyright (c) 2021-2022, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import {clampRange as clamp, Float32Buffer} from '@rapidsai/cuda';
import {DataFrame, Float32, Int32, Series, Uint32, Uint64, Uint8, Utf8String} from '@rapidsai/cudf';
import {Graph} from '@rapidsai/cugraph';
import {concat as concatAsync, zip as zipAsync} from 'ix/asynciterable';
import {flatMap as flatMapAsync} from 'ix/asynciterable/operators';
const defaultLayoutParams = {
simulating: {name: 'simulating', val: true},
autoCenter: {name: 'auto-center', val: false},
outboundAttraction: {name: 'outbound attraction', val: false},
linLogMode: {name: 'lin-log', val: false},
strongGravityMode: {name: 'strong gravity', val: false},
jitterTolerance: {name: 'layout speed', val: 0.05, min: 0.0001, max: 1.0, step: 0.0001},
barnesHutTheta: {
name: 'theta',
val: 0.0,
min: 0.0,
max: 1.0,
step: 0.001,
},
scalingRatio: {
name: 'scale ratio',
val: 5.0,
min: 0.0,
max: 100.0,
step: 0.1,
},
gravity: {
name: 'gravity',
val: 1.0,
min: 0.0,
max: 100.0,
step: 0.1,
},
controlsVisible: {name: 'controls visible', val: true},
};
const layoutParamNames = Object.keys(defaultLayoutParams);
export default async function* loadGraphData(props = {}) {
const layoutParams = {...defaultLayoutParams};
if (props.layoutParams) {
layoutParamNames.forEach((name) => {
if (props.layoutParams.hasOwnProperty(name)) {
const {val, min, max} = layoutParams[name];
switch (typeof val) {
case 'boolean': layoutParams[name].val = !!props.layoutParams[name]; break;
case 'number':
layoutParams[name].val = Math.max(min, Math.min(max, props.layoutParams[name]));
break;
}
}
});
}
let selectedParameter = 0;
window.addEventListener('keydown', (e) => {
if ('1234567890'.includes(e.key)) {
selectedParameter = +e.key;
} else if (e.code === 'ArrowUp') {
selectedParameter =
clamp(layoutParamNames.length, selectedParameter - 1)[0] % layoutParamNames.length;
} else if (e.code === 'ArrowDown') {
selectedParameter =
clamp(layoutParamNames.length, selectedParameter + 1)[0] % layoutParamNames.length;
} else if (['PageUp', 'PageDown', 'ArrowLeft', 'ArrowRight'].indexOf(e.code) !== -1) {
const key = layoutParamNames[selectedParameter];
const {val, min, max, step} = layoutParams[key];
if (typeof val === 'boolean') {
layoutParams[key].val = !val;
} else if (e.code === 'PageUp') {
layoutParams[key].val = Math.min(max, parseFloat(Number(val + step * 10).toPrecision(3)));
} else if (e.code === 'PageDown') {
layoutParams[key].val = Math.max(min, parseFloat(Number(val - step * 10).toPrecision(3)));
} else if (e.code === 'ArrowLeft') {
layoutParams[key].val = Math.max(min, parseFloat(Number(val - step).toPrecision(3)));
} else if (e.code === 'ArrowRight') {
layoutParams[key].val = Math.min(max, parseFloat(Number(val + step).toPrecision(3)));
}
}
});
async function* getDataFrames(source, getDefault, dataTypes) {
if (!source) {
if (typeof getDefault === 'function') { yield getDefault(); }
return;
}
if (source instanceof DataFrame) { return yield source; }
if (typeof source === 'string' && dataTypes) {
return yield DataFrame.readCSV(
{header: 0, sourceType: 'files', sources: [source], dataTypes});
}
if (typeof source[Symbol.iterator] === 'function' ||
typeof source[Symbol.asyncIterator] === 'function') {
let count = 0;
for await (const x of flatMapAsync((x) => getDataFrames(x, undefined, dataTypes))(source)) {
count++;
yield x;
}
if (count == 0) { yield* getDataFrames(null, getDefault, dataTypes); }
}
}
let nodeDFs = getDataFrames(props.nodes, getDefaultNodes, {
name: new Utf8String,
id: new Uint32,
color: new Uint32,
size: new Uint8,
data: new Utf8String,
});
let edgeDFs = getDataFrames(props.edges, getDefaultEdges, {
name: new Utf8String,
src: new Int32,
dst: new Int32,
edge: new Uint64,
color: new Uint64,
bundle: new Uint64,
data: new Utf8String,
});
/**
* @type DataFrame<{
* name: Utf8String,
* id: Uint32,
* color: Uint32,
* size: Uint8,
* x: Float32,
* y: Float32
* }>
*/
let nodes = null;
/**
* @type DataFrame<{
* name: Utf8String,
* src: Int32,
* dst: Int32,
* edge: Uint64,
* color: Uint64,
* bundle: Uint64
* }>
*/
let edges = null;
/**
* @type Graph
*/
let graph = null;
/**
* @type Float32Buffer
*/
let positions = null;
let graphDesc = {};
let bbox = [0, 0, 0, 0];
let onAfterRender = () => {};
let rendered = new Promise(() => {});
let dataframes = concatAsync(zipAsync(nodeDFs, edgeDFs), (async function*() {
datasourceCompleted = true;
nextFrames = new Promise(() => {});
})())[Symbol.asyncIterator]();
let nextFrames = dataframes.next();
let datasourceCompleted = false;
let graphUpdated = false;
while (true) {
graphUpdated = false;
// Wait for a new set of source dataframes or for the
// most recent frame to finish rendering before advancing
const newDFs = await (datasourceCompleted
? rendered
: Promise.race([rendered, nextFrames.then(({value} = {}) => value)]));
// If new nodes/edges, recreate the Graph
if (newDFs) {
if (newDFs[0] !== nodes || newDFs[1] !== edges) {
graphUpdated = true;
[nodes, edges] = newDFs;
nextFrames = dataframes.next();
graph = Graph.fromEdgeList(edges.get('src'), edges.get('dst'));
}
}
const n = graph.numNodes;
if (!layoutParams.simulating.val && !graphUpdated) {
// If user paused rendering, wait a bit and continue
rendered = new Promise((r) => (onAfterRender = () => setTimeout(r, 50)));
} else {
// Compute positions from the previous positions
positions = graph.forceAtlas2({
positions,
...layoutParamNames.reduce((params, name) => ({...params, [name]: layoutParams[name].val}),
{})
});
const positionSeries = Series.new({type: new Float32, data: positions.buffer});
if (positionSeries.isNaN().any()) { positions.copyFrom(positionSeries.replaceNaNs(0).data); }
// Extract the x and y positions and assign them as columns in our nodes DF
nodes = nodes.assign({
x: Series.new({type: new Float32, length: n, offset: 0, data: positions.buffer}),
y: Series.new({type: new Float32, length: n, offset: n, data: positions.buffer}),
});
// Compute the positions minimum bounding box [xMin, xMax, yMin, yMax]
bbox = [...nodes.get('x').minmax(), ...nodes.get('y').minmax()];
graphDesc = createGraphRenderProps(nodes, edges, graph);
({promise: rendered, resolve: onAfterRender} = promiseSubject());
}
// Yield the results to the caller for rendering
yield {
graph: graphDesc,
params: layoutParams,
selectedParameter: layoutParams.controlsVisible.val ? selectedParameter : undefined,
bbox,
autoCenter: layoutParams.autoCenter.val,
onAfterRender
};
// Wait for the frame to finish rendering before advancing
rendered = rendered.catch(() => {}).then(() => {});
}
}
function promiseSubject() {
let resolve, reject;
let promise = new Promise((r1, r2) => {
resolve = r1;
reject = r2;
});
return {promise, resolve, reject};
}
/**
*
* @param {DataFrame<{
* name: Utf8String, id: Uint32, color: Uint32, size: Uint8, x: Float32, y: Float32,
* }>} nodes
* @param {DataFrame<{
* name: Utf8String, src: Int32, dst: Int32, edge: Uint64, color: Uint64, bundle: Uint64,
* }>} edges
* @param {*} graph
*/
function createGraphRenderProps(nodes, edges, graph) {
const numNodes = graph.numNodes;
const numEdges = graph.numEdges;
return {
numNodes, numEdges, nodeRadiusScale: 1 / 75,
// nodeRadiusScale: 1/255,
nodeRadiusMinPixels: 5, nodeRadiusMaxPixels: 150, data: {
edges: {
offset: 0,
length: numEdges,
attributes: {
edgeName: edges.get('name'),
edgeList: edges.get('edge').data,
edgeColors: edges.get('color').data,
edgeBundles: edges.get('bundle').data,
edgeData: edges.has('data') ? edges.get('data') : null
}
},
nodes: {
offset: 0,
length: numNodes,
attributes: {
nodeName: nodes.get('name'),
nodeRadius: nodes.get('size').data,
nodeXPositions: nodes.get('x').data,
nodeYPositions: nodes.get('y').data,
nodeFillColors: nodes.get('color').data,
nodeElementIndices: nodes.get('id').data,
nodeData: nodes.has('data') ? nodes.get('data') : null
}
},
},
}
}
function getDefaultNodes() {
return new DataFrame({
name: Series.new([
'bool::False',
'bool::True',
'char::a',
'char::b',
'char::c',
'char::d',
'colors::1',
'colors::2',
'date::2018-01-01 00:00:00.000000000',
'date_str::2018-01-01 00:00:00',
'date_str::2018-01-02 00:00:00',
'date_str::2018-01-03 00:00:00',
'date_str::2018-01-05 00:00:00',
'dst::0',
'dst::1',
'dst::2',
'dst::3',
'emoji::😋',
'emoji::😋😋',
'int::0',
'int::1',
'int::2',
'int::3',
'num::0.5',
'num::1.5',
'num::2.5',
'num::3.5',
'src::0',
'src::1',
'src::2',
'src::3',
'str::a',
'str::b',
'str::c',
'str::d',
'time::2018-01-05 00:00:00.000000000',
'ustr::a',
'ustr::b',
'ustr::c',
'ustr::d'
]),
id: Series.new({
type: new Uint32,
data: [
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,
20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39
]
}),
color: Series.new({
type: new Uint32,
data: [
4293326232, 4294815329, 4294208835, 4294967231, 4293326232, 4294967231, 4281501885,
4294208835, 4292165199, 4284924581, 4281501885, 4281501885, 4294967231, 4294967231,
4281501885, 4289453476, 4281501885, 4294208835, 4289453476, 4281501885, 4289453476,
4289453476, 4294967231, 4281501885, 4293326232, 4281501885, 4294967231, 4294208835,
4289453476, 4294967231, 4294967231, 4294893707, 4294967231, 4281501885, 4294967231,
4284924581, 4294893707, 4294967231, 4294893707, 4294893707
]
}),
size: Series.new({
type: new Uint8,
data: [
1, 170, 1, 1, 1, 1, 85, 85, 255, 1, 1, 1, 1, 1, 1, 1, 1, 170, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 255, 1, 1, 1, 1
]
}),
});
}
function getDefaultEdges() {
return new DataFrame({
name: Series.new(Array.from({length: 312}, (_, i) => `${i}`)),
src: Series.new({
type: new Int32,
data: [
1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1,
1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0,
1, 1, 2, 3, 4, 5, 2, 3, 4, 5, 2, 3, 4, 5, 2, 3, 4, 5, 2, 3, 4, 5, 2,
3, 4, 5, 2, 3, 4, 5, 2, 3, 4, 5, 2, 3, 4, 5, 2, 3, 4, 5, 2, 3, 4, 5,
6, 6, 7, 7, 6, 6, 7, 7, 6, 6, 7, 7, 6, 6, 7, 7, 6, 6, 7, 7, 6, 6, 7,
7, 6, 6, 7, 7, 6, 6, 7, 7, 6, 6, 7, 7, 6, 6, 7, 7, 8, 8, 8, 8, 8, 8,
8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8,
8, 8, 8, 8, 8, 8, 8, 9, 10, 11, 12, 9, 10, 11, 12, 9, 10, 11, 12, 9, 10, 11, 12,
9, 10, 11, 12, 9, 10, 11, 12, 9, 10, 11, 12, 9, 10, 11, 12, 14, 15, 16, 13, 14, 15, 16,
13, 14, 15, 16, 13, 14, 15, 16, 13, 14, 15, 16, 13, 14, 15, 16, 13, 14, 15, 16, 13, 17, 18,
17, 17, 17, 18, 17, 17, 17, 18, 17, 17, 17, 18, 17, 17, 17, 18, 17, 17, 17, 18, 17, 17, 19,
20, 21, 22, 19, 20, 21, 22, 19, 20, 21, 22, 19, 20, 21, 22, 19, 20, 21, 22, 23, 24, 25, 26,
23, 24, 25, 26, 23, 24, 25, 26, 23, 24, 25, 26, 27, 28, 29, 30, 27, 28, 29, 30, 27, 28, 29,
30, 31, 32, 33, 34, 31, 32, 33, 34, 35, 35, 35, 35
]
}),
dst: Series.new({
type: new Int32,
data: [
2, 3, 4, 5, 6, 6, 7, 7, 8, 8, 8, 8, 9, 10, 11, 12, 14, 15, 16, 13, 17, 18, 17,
17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 35, 35, 35, 36, 37,
38, 39, 6, 6, 7, 7, 8, 8, 8, 8, 9, 10, 11, 12, 14, 15, 16, 13, 17, 18, 17, 17, 19,
20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 35, 35, 35, 36, 37, 38, 39,
8, 8, 8, 8, 9, 10, 11, 12, 14, 15, 16, 13, 17, 18, 17, 17, 19, 20, 21, 22, 23, 24, 25,
26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 35, 35, 35, 36, 37, 38, 39, 9, 10, 11, 12, 14, 15,
16, 13, 17, 18, 17, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,
35, 35, 35, 36, 37, 38, 39, 14, 15, 16, 13, 17, 18, 17, 17, 19, 20, 21, 22, 23, 24, 25, 26,
27, 28, 29, 30, 31, 32, 33, 34, 35, 35, 35, 35, 36, 37, 38, 39, 17, 18, 17, 17, 19, 20, 21,
22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 35, 35, 35, 36, 37, 38, 39, 19, 20,
21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 35, 35, 35, 36, 37, 38, 39, 23,
24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 35, 35, 35, 36, 37, 38, 39, 27, 28, 29, 30,
31, 32, 33, 34, 35, 35, 35, 35, 36, 37, 38, 39, 31, 32, 33, 34, 35, 35, 35, 35, 36, 37, 38,
39, 35, 35, 35, 35, 36, 37, 38, 39, 36, 37, 38, 39
]
}),
edge: Series.new({
type: new Uint64,
data: [
8589934593n, 12884901888n, 17179869185n, 21474836481n, 25769803777n, 25769803776n,
30064771073n, 30064771073n, 34359738369n, 34359738368n, 34359738369n, 34359738369n,
38654705665n, 42949672960n, 47244640257n, 51539607553n, 60129542145n, 64424509440n,
68719476737n, 55834574849n, 73014444033n, 77309411328n, 73014444033n, 73014444033n,
81604378625n, 85899345920n, 90194313217n, 94489280513n, 98784247809n, 103079215104n,
107374182401n, 111669149697n, 115964116993n, 120259084288n, 124554051585n, 128849018881n,
133143986177n, 137438953472n, 141733920769n, 146028888065n, 150323855361n, 150323855360n,
150323855361n, 150323855361n, 154618822657n, 158913789952n, 163208757249n, 167503724545n,
25769803778n, 25769803779n, 30064771076n, 30064771077n, 34359738370n, 34359738371n,
34359738372n, 34359738373n, 38654705666n, 42949672963n, 47244640260n, 51539607557n,
60129542146n, 64424509443n, 68719476740n, 55834574853n, 73014444034n, 77309411331n,
73014444036n, 73014444037n, 81604378626n, 85899345923n, 90194313220n, 94489280517n,
98784247810n, 103079215107n, 107374182404n, 111669149701n, 115964116994n, 120259084291n,
124554051588n, 128849018885n, 133143986178n, 137438953475n, 141733920772n, 146028888069n,
150323855362n, 150323855363n, 150323855364n, 150323855365n, 154618822658n, 158913789955n,
163208757252n, 167503724549n, 34359738374n, 34359738374n, 34359738375n, 34359738375n,
38654705670n, 42949672966n, 47244640263n, 51539607559n, 60129542150n, 64424509446n,
68719476743n, 55834574855n, 73014444038n, 77309411334n, 73014444039n, 73014444039n,
81604378630n, 85899345926n, 90194313223n, 94489280519n, 98784247814n, 103079215110n,
107374182407n, 111669149703n, 115964116998n, 120259084294n, 124554051591n, 128849018887n,
133143986182n, 137438953478n, 141733920775n, 146028888071n, 150323855366n, 150323855366n,
150323855367n, 150323855367n, 154618822662n, 158913789958n, 163208757255n, 167503724551n,
38654705672n, 42949672968n, 47244640264n, 51539607560n, 60129542152n, 64424509448n,
68719476744n, 55834574856n, 73014444040n, 77309411336n, 73014444040n, 73014444040n,
81604378632n, 85899345928n, 90194313224n, 94489280520n, 98784247816n, 103079215112n,
107374182408n, 111669149704n, 115964117000n, 120259084296n, 124554051592n, 128849018888n,
133143986184n, 137438953480n, 141733920776n, 146028888072n, 150323855368n, 150323855368n,
150323855368n, 150323855368n, 154618822664n, 158913789960n, 163208757256n, 167503724552n,
60129542153n, 64424509450n, 68719476747n, 55834574860n, 73014444041n, 77309411338n,
73014444043n, 73014444044n, 81604378633n, 85899345930n, 90194313227n, 94489280524n,
98784247817n, 103079215114n, 107374182411n, 111669149708n, 115964117001n, 120259084298n,
124554051595n, 128849018892n, 133143986185n, 137438953482n, 141733920779n, 146028888076n,
150323855369n, 150323855370n, 150323855371n, 150323855372n, 154618822665n, 158913789962n,
163208757259n, 167503724556n, 73014444046n, 77309411343n, 73014444048n, 73014444045n,
81604378638n, 85899345935n, 90194313232n, 94489280525n, 98784247822n, 103079215119n,
107374182416n, 111669149709n, 115964117006n, 120259084303n, 124554051600n, 128849018893n,
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})
});
}
| 0 |
rapidsai_public_repos/node/modules/demo/graph
|
rapidsai_public_repos/node/modules/demo/graph/src/app.jsx
|
// Copyright (c) 2020-2022, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import { log as deckLog, OrthographicView } from '@deck.gl/core';
import { TextLayer } from '@deck.gl/layers';
import { default as DeckGL } from '@deck.gl/react';
import { GraphLayer } from '@rapidsai/deck.gl';
import { as as asAsyncIterable } from 'ix/asynciterable/as';
import { takeWhile } from 'ix/asynciterable/operators/takewhile';
import * as React from 'react';
import { default as loadGraphData } from './loader';
deckLog.level = 0;
deckLog.enable(false);
const composeFns = (fns) => function (...args) { fns.forEach((fn) => fn && fn.apply(this, args)); }
export class App extends React.Component {
constructor(props, context) {
super(props, context);
this._isMounted = false;
this._deck = React.createRef();
this.state = { graph: {}, autoCenter: true };
}
componentWillUnmount() { this._isMounted = false; }
componentDidMount() {
this._isMounted = true;
asAsyncIterable(loadGraphData(this.props))
.pipe(takeWhile(() => this._isMounted))
.forEach((state) => this.setState(state))
.catch((e) => console.error(e));
}
render() {
const { onAfterRender, ...props } = this.props;
const { params = {}, selectedParameter } = this.state;
const [viewport] = (this._deck?.current?.deck?.viewManager?.getViewports() || []);
if (this.state.autoCenter && this.state.bbox) {
const viewState = centerOnBbox(this.state.bbox);
viewState && (props.initialViewState = viewState);
}
const [minX = Number.NEGATIVE_INFINITY, minY = Number.NEGATIVE_INFINITY] =
(viewport?.getBounds() || []);
return (
<DeckGL {...props}
ref={this._deck}
onViewStateChange={() => this.setState({
autoCenter: params.autoCenter ? (params.autoCenter.val = false) : false
})}
_framebuffer={props.getRenderTarget ? props.getRenderTarget() : null}
onAfterRender={composeFns([onAfterRender, this.state.onAfterRender])}>
<GraphLayer
edgeStrokeWidth={2}
edgeOpacity={.5}
nodesStroked={true}
nodeFillOpacity={.5}
nodeStrokeOpacity={.9}
{...this.state.graph}
getNodeLabels={getNodeLabels}
getEdgeLabels={getEdgeLabels}
/>
{viewport && selectedParameter !== undefined ?
<TextLayer
sizeScale={1}
opacity={0.9}
maxWidth={2000}
pickable={false}
background={true}
getBackgroundColor={() => [46, 46, 46]}
getTextAnchor='start'
getAlignmentBaseline='top'
getSize={(d) => d.size}
getColor={(d) => d.color}
getPixelOffset={(d) => [0, d.index * 15]}
getPosition={(d) => d.position}
data={Object.keys(params).map((key, i) => ({
size: 15,
index: i,
text: i === selectedParameter
? `(${i}) ${params[key].name}: ${params[key].val}`
: ` ${i} ${params[key].name}: ${params[key].val}`,
color: [255, 255, 255],
position: [minX, minY],
}))}
/> : null
}
</DeckGL>
);
}
}
export default App;
App.defaultProps = {
controller: { keyboard: false },
onHover: onDragEnd,
onDrag: onDragStart,
onDragEnd: onDragEnd,
onDragStart: onDragStart,
initialViewState: {
zoom: 1,
target: [0, 0, 0],
minZoom: Number.NEGATIVE_INFINITY,
maxZoom: Number.POSITIVE_INFINITY,
},
views: [
new OrthographicView({
clear: {
color: [...[46, 46, 46].map((x) => x / 255), 1]
}
})
]
};
function onDragStart({ index }, { target }) {
if (target) { [window, target].forEach((element) => (element.style || {}).cursor = 'grabbing'); }
}
function onDragEnd({ index }, { target }) {
if (target) {
[window, target].forEach((element) => (element.style || {}).cursor =
~index ? 'pointer' : 'default');
}
}
function centerOnBbox([minX, maxX, minY, maxY]) {
const width = maxX - minX, height = maxY - minY;
if ((width === width) && (height === height)) {
const { outerWidth, outerHeight } = window;
const world = (width > height ? width : height);
const screen = (width > height ? outerWidth : outerHeight) * .9;
const zoom = (world > screen ? -(world / screen) : (screen / world));
return {
minZoom: Number.NEGATIVE_INFINITY,
maxZoom: Number.POSITIVE_INFINITY,
zoom: Math.log2(Math.abs(zoom)) * Math.sign(zoom),
target: [minX + (width * .5), minY + (height * .5), 0],
};
}
}
function getNodeLabels({ x, y, coordinate, nodeId, props, layer }) {
let size = 14;
const color = [255, 255, 255];
const labels = [{
size,
color,
offset: [14, 0],
position: () => {
const x = window.mouseInWindow ? window.mouseX : -1;
const y = window.mouseInWindow ? window.mouseY : -1;
return layer.context.viewport.unproject([x, y]);
},
text: props.data.nodes.attributes.nodeName
? props.data.nodes.attributes.nodeName.getValue(nodeId)
: `${nodeId}`,
}];
if (props.data.nodes.attributes.nodeData) {
size *= 1.5;
const text = `${props.data.nodes.attributes.nodeData.getValue(nodeId) || ''}`.trimEnd();
const lineSpacing = 3, padding = 20;
const nBreaks = ((text.match(/\n/ig) || []).length + 1);
const offsetX = 0, offsetY = (size + lineSpacing) * nBreaks;
labels.push({
text,
color,
size,
position: () => {
const [minX, , , maxY] = layer.context.viewport.getBounds();
return [minX, maxY];
},
offset: [offsetX + padding, -padding - offsetY],
});
}
return labels;
}
function getEdgeLabels({ x, y, coordinate, edgeId, props, layer }) {
let size = 14;
const color = [255, 255, 255];
const labels = [{
size,
color,
offset: [14, 0],
position: () => {
const x = window.mouseInWindow ? window.mouseX : -1;
const y = window.mouseInWindow ? window.mouseY : -1;
return layer.context.viewport.unproject([x, y]);
},
text: props.data.edges.attributes.edgeName
? props.data.edges.attributes.edgeName.getValue(edgeId)
: `${sourceNodeId} - ${targetNodeId}`,
}];
if (props.data.edges.attributes.edgeData) {
size *= 1.5;
const text = `${props.data.edges.attributes.edgeData.getValue(edgeId) || ''}`.trimEnd();
const lineSpacing = 3, padding = 20;
const nBreaks = ((text.match(/\n/ig) || []).length + 1);
const offsetX = 0, offsetY = (size + lineSpacing) * nBreaks;
labels.push({
text,
color,
size,
offset: [offsetX + padding, -padding - offsetY],
position: () => {
const [minX, , , maxY] = layer.context.viewport.getBounds();
return [minX, maxY];
},
});
}
return labels;
}
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rapidsai_public_repos/node/modules/demo
|
rapidsai_public_repos/node/modules/demo/api-server/package.json
|
{
"private": true,
"name": "@rapidsai/demo-api-server",
"main": "index.js",
"version": "22.12.2",
"license": "Apache-2.0",
"author": "NVIDIA, Inc. (https://nvidia.com/)",
"maintainers": [
"Thomson Comer <[email protected]>"
],
"bin": "index.js",
"description": "A fastify-based web server that provides browser-access to GPU resources.",
"scripts": {
"test": "tap \"test/**/*.test.js\"",
"start": "fastify start -l info -P -p 3010 -w app.js",
"dev": "fastify start -w -l info -P -p 3010 app.js"
},
"keywords": [
"rapids.ai",
"node",
"NVIDIA",
"gpu",
"Dataframe",
"pandas"
],
"dependencies": {
"@fastify/autoload": "^4.0.0",
"@fastify/cors": "latest",
"@fastify/sensible": "^4.0.0",
"@types/node": "17.0.33",
"fastify": "^4.0.0",
"fastify-arrow": "1.0.0",
"fastify-cli": "^3.0.1",
"fastify-plugin": "^3.0.0"
},
"devDependencies": {
"path": "0.12.7",
"tap": "^16.1.0"
},
"files": [
"util",
"routes",
"plugins",
"app.js",
"index.js",
"README.md",
"package.json"
]
}
| 0 |
rapidsai_public_repos/node/modules/demo
|
rapidsai_public_repos/node/modules/demo/api-server/index.js
|
#!/usr/bin/env node
// Copyright (c) 2022, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
const Path = require('path');
// Change cwd to the example dir so relative file paths are resolved
process.chdir(__dirname);
const fastify = require.resolve('fastify-cli/cli.js');
const {spawnSync} = require('child_process');
const env = {
NEXT_TELEMETRY_DISABLED: 1, // disable https://fastifyjs.org/telemetry
...process.env,
};
spawnSync(process.execPath,
[fastify, 'start', '-l', 'info', '-P', '-p', '3010', '-w', 'app.js'],
{env, cwd: __dirname, stdio: 'inherit'});
| 0 |
rapidsai_public_repos/node/modules/demo
|
rapidsai_public_repos/node/modules/demo/api-server/README.md
|
# Fastify HTTP Server Demo
This project is a Fastify-based node http server that allows
commands and data to be sent to and from the NVIDIA GPUs installed
on the host machine.
Essentially, the node-rapids system is provided as a backend to any
HTTP client. At this time only limited functionality is available to
load JSON files in the `graphology` graph dataset format, plus API
requests to request Dataframes and their Columns via `apache-arrow`.
Two endpoints, `graphology/nodes` and `graphology/edges` specifically
return pre-formatted arrays that can be used directly with the
[sigma.js](https://github.com/jacomyal/sigma.js) renderer. An
[extra-large-graphs](https://github.com/jacomyal/sigma.js/pull/1252) example PR is in the works
that utilizes this GPU-accelerated data for rendering larger datasets
than available via only CPU.
## Main Dependencies
- @rapidsai/cudf
- fastify
- fastify-arrow
- apache-arrow
An example project that demonstrates this API has a PR being reviewed at [sigma.js](https://github.com/jacomyal/sigma.js),
but this project does not depend on sigma.js.j
## Installation
To install dependencies, run the following from the root directory for `node-rapids`
```bash
yarn
```
To run the demo
```bash
# Select the api-server demo from the list of demos
yarn demo
# OR specifically with
cd modules/demo/api-server
yarn start
```
## Dataset
Run the graph generator at <https://github.com/thomcom/sigma.js/blob/add-gpu-graph-to-example/examples/extra-large-graphs/generate-graph.js>
to create a very large graph using the object
```js
const state = {
order: 1000000,
size: 2000000,
clusters: 3,
edgesRenderer: 'edges-fast'
};
```
You don't need to edit the file in order to create a graph of the above size. Simply call the .js via node:
```bash
node graph-generator.js
```
Which will create a file `./large-graph.json`. Copy `./large-graph.json` into `api-server/` and then set your
API request to the location of the file relative to `routes/graphology/index.js`:
```
curl http://localhost:3010/graphology/read_large_demo?filename=../../large-graph.json
```
Which will use parallel JSON parsing to load the graph onto the GPU.
## Routes
```txt
/
/graphology
/graphology/read_json
/graphology/read_large_demo
/graphology/list_tables
/graphology/get_table/:table
/graphology/get_column/:table/:column
/graphology/nodes/bounds
/graphology/nodes
/graphology/edges
/graphology/release
```
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rapidsai_public_repos/node/modules/demo
|
rapidsai_public_repos/node/modules/demo/api-server/app.js
|
'use strict'
const path = require('path')
const AutoLoad = require('@fastify/autoload')
module.exports = async function(fastify, opts) {
// Place here your custom code!
// Do not touch the following lines
// This loads all plugins defined in plugins
// those should be support plugins that are reused
// through your application
fastify.register(AutoLoad,
{dir: path.join(__dirname, 'plugins'), options: Object.assign({}, opts)})
// This loads all plugins defined in routes
// define your routes in one of these
fastify.register(
AutoLoad,
{dir: path.join(__dirname, 'routes'), options: Object.assign({}, opts), ignorePattern: /.*.ts/})
}
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rapidsai_public_repos/node/modules/demo/api-server
|
rapidsai_public_repos/node/modules/demo/api-server/util/schema.js
|
// Copyright (c) 2022, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
'use strict';
const schema = {
graphology: {
description: 'The graphology api provides GPU acceleration of graphology datasets.',
schema: {
read_json: {
filename: 'A URI to a graphology json dataset file.',
result: `Causes the node-rapids backend to attempt to load the json object specified
by :filename. The GPU will attempt to parse the json file asynchronously and will
return OK/ Not Found/ or Fail based on the file status.
If the load is successful, four tables will be created in the node-rapids backend:
nodes, edges, clusters, and tags. The root objects in the json target must match
these names and order.`,
returns: 'Result OK/Not Found/Fail'
},
read_large_demo: {
filename:
'A URI to a graphology json dataset file matching the sigma.js/examples/large-demos spec.',
result: `Produces the same result as 'read_json'.
If the load is successful, three tables will be created in the node-rapids backend:
nodes, edges, and options.`,
returns: 'Result OK/Not Found/Fail'
},
list_tables: {returns: 'Tables that are available presently in GPU memory.'},
get_table: {
':table':
{table: 'The name of the table that has been allocated previously into GPU memory.'}
},
get_column: {':table': {':column': {table: 'The table name', column: 'The column name'}}},
nodes: {
returns:
'Returns the existing nodes table after applying normalization functions for sigma.js'
},
nodes: {bounds: {returns: 'Returns the x and y bounds to be used in rendering.'}},
edges: {return: 'Returns the existing edges table after applying normalization for sigma.js'}
}
}
};
module.exports = schema;
| 0 |
rapidsai_public_repos/node/modules/demo/api-server
|
rapidsai_public_repos/node/modules/demo/api-server/util/gpu_cache.js
|
// Copyright (c) 2022, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
const {Bool8, Utf8String, Int32, Int64, DataFrame, Series, Float32, Float64} =
require('@rapidsai/cudf');
let timeout = -1;
let datasets = {};
function clearCachedGPUData() {
for (const key in datasets) { datasets[key] = null; }
};
function json_key_attributes_to_dataframe(str) {
let arr = {};
const columns = ['cluster', 'x', 'y', 'size', 'label', 'color'];
const dtypes = [new Int32, new Float32, new Float32, new Int32, new Utf8String, new Utf8String];
const no_open_list = str.split('[\n').gather([1], false);
const tokenized = no_open_list.split('},');
const keys = tokenized.getJSONObject('.key');
arr['key'] = keys.cast(new Int32);
columns.forEach((col, ix) => {
const parse_result = tokenized.getJSONObject('.attributes.' + columns[ix]);
arr[col] = parse_result.cast(dtypes[ix]);
});
const result = new DataFrame(arr);
return result;
}
function json_aos_to_dataframe(str, columns, dtypes) {
let arr = {};
columns.forEach((col, ix) => {
const no_open_list = str.split('[\n').gather([1], false);
const tokenized = no_open_list.split('},');
const parse_result = tokenized.getJSONObject('.' + columns[ix]);
arr[col] = parse_result.cast(dtypes[ix]);
});
const result = new DataFrame(arr);
return result;
}
function json_aoa_to_dataframe(str, dtypes) {
let arr = {};
const no_open_list = str.split('[\n').gather([1], false);
const tokenized = no_open_list.split('],');
dtypes.forEach((_, ix) => {
const get_ix = `[${ix}]`;
const parse_result = tokenized.getJSONObject(get_ix);
arr[ix] = parse_result.cast(dtypes[ix]);
});
const result = new DataFrame(arr);
return result;
}
module.exports = {
async setDataframe(name, dataframe) {
if (timeout) { clearTimeout(timeout); }
timeout = setTimeout(clearCachedGPUData, 10 * 60 * 1000);
if (datasets === null) {
datasets = {};
}
datasets[name] = dataframe;
},
async getDataframe(name) { return datasets[name]; },
async listDataframes() { return datasets != null ? Object.keys(datasets) : []; },
async clearDataframes() {
clearCachedGPUData();
clearTimeout(timeout);
datasets = null;
},
async readLargeGraphDemo(path) {
console.log('readLargeGraphDemo');
const dataset = Series.readText(path, '');
let split = dataset.split('"options":');
if (split.length <= 1) { throw 'Bad readLargeGraphDemo format: options not found.'; };
const toptions = split.gather([1], false);
let rest = split.gather([0], false);
split = rest.split('"edges":');
if (split.length <= 1) { throw 'Bad readLargeGraphDemo format: edges not found.'; };
const tedges = split.gather([1], false);
rest = split.gather([0], false);
split = rest.split('"nodes":');
if (split.length <= 1) { throw 'Bad readLargeGraphDemo format: nodes not found.'; };
const tnodes = split.gather([1], false);
const nodes = json_key_attributes_to_dataframe(tnodes);
const edges = json_aos_to_dataframe(
tedges, ['key', 'source', 'target'], [new Utf8String, new Int64, new Int64]);
let optionsArr = {};
optionsArr['type'] = Series.new(toptions.getJSONObject('.type'));
optionsArr['multi'] = Series.new(toptions.getJSONObject('.multi'));
optionsArr['allowSelfLoops'] = Series.new(toptions.getJSONObject('.allowSelfLoops'));
const options = new DataFrame(optionsArr);
return {nodes: nodes, edges: edges, options: options};
},
async readGraphology(path) {
console.log('readGraphology');
const dataset = Series.readText(path, '');
if (dataset.length == 0) { throw 'File does not exist or is empty.' }
let split = dataset.split('"tags":');
if (split.length <= 1) { throw 'Bad graphology format: tags not found.'; }
const ttags = split.gather([1], false);
let rest = split.gather([0], false);
split = rest.split('"clusters":');
if (split.length <= 1) { throw 'Bad graphology format: clusters not found.'; }
const tclusters = split.gather([1], false);
rest = split.gather([0], false);
split = rest.split('"edges":');
if (split.length <= 1) { throw 'Bad graphology format: edges not found.'; }
const tedges = split.gather([1], false);
rest = split.gather([0], false);
split = rest.split('"nodes":');
if (split.length <= 1) { throw 'Bad graphology format: nodes not found.'; }
const tnodes = split.gather([1], false);
const tags = json_aos_to_dataframe(ttags, ['key', 'image'], [new Utf8String, new Utf8String]);
const clusters = json_aos_to_dataframe(
tclusters, ['key', 'color', 'clusterLabel'], [new Int64, new Utf8String, new Utf8String]);
const nodes =
json_aos_to_dataframe(tnodes, ['key', 'label', 'tag', 'URL', 'cluster', 'x', 'y', 'score'], [
new Utf8String,
new Utf8String,
new Utf8String,
new Utf8String,
new Int32,
new Float64,
new Float64,
new Int32
]);
const edges = json_aoa_to_dataframe(tedges, [new Utf8String, new Utf8String]);
return {nodes: nodes, edges: edges, tags: tags, clusters: clusters};
}
}
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rapidsai_public_repos/node/modules/demo/api-server
|
rapidsai_public_repos/node/modules/demo/api-server/routes/README.md
|
# Routes Folder
Routes define routes within your application. Fastify provides an
easy path to a microservice architecture, in the future you might want
to independently deploy some of those.
In this folder you should define all the routes that define the endpoints
of your web application.
Each service is a [Fastify
plugin](https://www.fastify.io/docs/latest/Reference/Plugins/), it is
encapsulated (it can have its own independent plugins) and it is
typically stored in a file; be careful to group your routes logically,
e.g. all `/users` routes in a `users.js` file. We have added
a `root.js` file for you with a '/' root added.
If a single file become too large, create a folder and add a `index.js` file there:
this file must be a Fastify plugin, and it will be loaded automatically
by the application. You can now add as many files as you want inside that folder.
In this way you can create complex routes within a single monolith,
and eventually extract them.
If you need to share functionality between routes, place that
functionality into the `plugins` folder, and share it via
[decorators](https://www.fastify.io/docs/latest/Reference/Decorators/).
If you're a bit confused about using `async/await` to write routes, you would
better take a look at [Promise resolution](https://www.fastify.io/docs/latest/Routes/#promise-resolution) for more details.
| 0 |
rapidsai_public_repos/node/modules/demo/api-server
|
rapidsai_public_repos/node/modules/demo/api-server/routes/root.js
|
// Copyright (c) 2022, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
const fastify = require('fastify');
const root_schema = require('../util/schema.js');
module.exports = async function(fastify, opts) {
fastify.get('/', async function(request, reply) {
return root_schema;
});
}
| 0 |
rapidsai_public_repos/node/modules/demo/api-server/routes
|
rapidsai_public_repos/node/modules/demo/api-server/routes/graphology/index.js
|
// Copyright (c) 2022, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
const Fs = require('fs');
const {Utf8String, Int32, Uint32, Float32, DataFrame, Series, Float64} = require('@rapidsai/cudf');
const {RecordBatchStreamWriter, Field, Vector, List, Table} = require('apache-arrow');
const Path = require('path');
const {promisify} = require('util');
const Stat = promisify(Fs.stat);
const fastifyCors = require('@fastify/cors');
const fastify = require('fastify');
const arrowPlugin = require('fastify-arrow');
const gpu_cache = require('../../util/gpu_cache.js');
const root_schema = require('../../util/schema.js');
module.exports = async function(fastify, opts) {
fastify.register(arrowPlugin);
fastify.register(fastifyCors, {origin: 'http://localhost:3001'});
fastify.decorate('setDataframe', gpu_cache.setDataframe);
fastify.decorate('getDataframe', gpu_cache.getDataframe);
fastify.decorate('listDataframes', gpu_cache.listDataframes);
fastify.decorate('readGraphology', gpu_cache.readGraphology);
fastify.decorate('readLargeGraphDemo', gpu_cache.readLargeGraphDemo);
fastify.decorate('clearDataFrames', gpu_cache.clearDataframes);
fastify.get('/', async function(request, reply) { return root_schema; });
fastify.route({
method: 'POST',
url: '/read_large_demo',
schema: {
querystring: {filename: {type: 'string'}, 'rootkeys': {type: 'array'}},
response: {
200: {
type: 'object',
properties:
{success: {type: 'boolean'}, message: {type: 'string'}, params: {type: 'string'}}
}
}
},
handler: async (request, reply) => {
const query = request.query;
let result = {
'params': JSON.stringify(query),
success: false,
message: 'Finding file.',
statusCode: 200
};
try {
let path = undefined;
if (query.filename === undefined) {
result.message = 'Parameter filename is required';
result.statusCode = 400;
} else if (query.filename.search('http') != -1) {
result.message = 'Remote files not supported yet.';
result.statusCode = 406;
} else {
result.message = 'File is not remote';
// does the file exist?
const path = Path.join(__dirname, query.filename);
console.log('Does the file exist?');
const stats = await Stat(path);
const message = 'File is available';
result.message = message;
result.success = true;
try {
const graphology = await fastify.readLargeGraphDemo(path);
await fastify.setDataframe('nodes', graphology['nodes']);
await fastify.setDataframe('edges', graphology['edges']);
await fastify.setDataframe('options', graphology['options']);
result.message = 'File read onto GPU.';
} catch (e) {
result.success = false;
result.message = e;
result.statusCode = 500;
}
}
} catch (e) {
result.success = false;
result.message = e.message;
result.statusCode = 404;
};
await reply.code(result.statusCode).send(result);
}
});
fastify.route({
method: 'POST',
url: '/read_json',
schema: {
querystring: {filename: {type: 'string'}, 'rootkeys': {type: 'array'}},
response: {
200: {
type: 'object',
properties:
{success: {type: 'boolean'}, message: {type: 'string'}, params: {type: 'string'}}
}
}
},
handler: async (request, reply) => {
const query = request.query;
let result = {
'params': JSON.stringify(query),
success: false,
message: 'Finding file.',
statusCode: 200
};
try {
let path = undefined;
if (query.filename === undefined) {
result.message = 'Parameter filename is required';
result.statusCode = 400;
} else if (query.filename.search('http') != -1) {
result.message = 'Remote files not supported yet.';
result.statusCode = 406;
} else {
result.message = 'File is not remote';
// does the file exist?
const path = Path.join(__dirname, query.filename);
console.log('Does the file exist?');
const stats = await Stat(path);
const message = 'File is available';
result.message = message;
result.success = true;
try {
const graphology = await fastify.readGraphology(path);
await fastify.setDataframe('nodes', graphology['nodes']);
await fastify.setDataframe('edges', graphology['edges']);
await fastify.setDataframe('clusters', graphology['clusters']);
await fastify.setDataframe('tags', graphology['tags']);
result.message = 'File read onto GPU.';
} catch (e) {
result.success = false;
result.message = e;
result.statusCode = 500;
}
}
} catch (e) {
result.success = false;
result.message = e.message;
result.statusCode = 404;
};
await reply.code(result.statusCode).send(result);
}
});
fastify.route({
method: 'GET',
url: '/list_tables',
handler: async (request, reply) => {
let message = 'Error';
let result = {success: false, message: message};
const list = await fastify.listDataframes();
return list;
}
});
fastify.route({
method: 'GET',
url: '/get_column/:table/:column',
schema: {querystring: {table: {type: 'string'}, 'column': {type: 'string'}}},
handler: async (request, reply) => {
let message = 'Error';
let result = {'params': JSON.stringify(request.params), success: false, message: message};
const table = await fastify.getDataframe(request.params.table);
if (table == undefined) {
result.message = 'Table not found';
await reply.code(404).send(result);
} else {
try {
const name = request.params.column;
const column = table.get(name);
const newDfObject = {};
newDfObject[name] = column;
const result = new DataFrame(newDfObject);
const writer = RecordBatchStreamWriter.writeAll(result.toArrow());
await reply.code(200).send(writer.toNodeStream());
} catch (e) {
if (e.substring('Unknown column name') != -1) {
result.message = e;
console.log(result);
await reply.code(404).send(result);
} else {
result.message = e;
console.log(result);
await reply.code(500).send(result);
}
}
}
}
});
fastify.route({
method: 'GET',
url: '/get_table/:table',
schema: {querystring: {table: {type: 'string'}}},
handler: async (request, reply) => {
let message = 'Error';
let result = {'params': JSON.stringify(request.params), success: false, message: message};
const table = await fastify.getDataframe(request.params.table);
if (table == undefined) {
result.message = 'Table not found';
await reply.code(404).send(result);
} else {
const writer = RecordBatchStreamWriter.writeAll(table.toArrow());
await reply.code(200).send(writer.toNodeStream());
}
}
});
fastify.route({
method: 'GET',
url: '/nodes/bounds',
handler: async (request, reply) => {
let message = 'Error';
let result = {success: false, message: message};
const df = await fastify.getDataframe('nodes');
if (df == undefined) {
result.message = 'Table not found';
await reply.code(404).send(result);
} else {
// compute xmin, xmax, ymin, ymax
const x = df.get('x');
const y = df.get('y');
const [xmin, xmax] = x.minmax();
const [ymin, ymax] = y.minmax();
result.bounds = {xmin: xmin, xmax: xmax, ymin: ymin, ymax: ymax};
result.message = 'Success';
result.success = true;
await reply.code(200).send(result);
}
}
});
fastify.route({
method: 'GET',
url: '/nodes',
handler: async (request, reply) => {
let message = 'Error';
let result = {success: false, message: message};
const df = await fastify.getDataframe('nodes');
if (df == undefined) {
result.message = 'Table not found';
await reply.code(404).send(result);
} else {
// tile x, y, size, color
let tiled = Series.sequence({type: new Float32, init: 0.0, size: (4 * df.numRows)});
let base_offset = Series.sequence({type: new Int32, init: 0.0, size: df.numRows}).mul(4);
//
// Duplicatin the sigma.j createNormalizationFunction here because there's no other way
// to let the Graph object compute it.
//
const x = df.get('x');
const y = df.get('y');
let color = df.get('color');
const color_ints = color.hexToIntegers(new Uint32).bitwiseOr(0xef000000);
const [xMin, xMax] = x.minmax();
const [yMin, yMax] = y.minmax();
const ratio = Math.max(xMax - xMin, yMax - yMin);
const dX = (xMax + xMin) / 2.0;
const dY = (yMax + yMin) / 2.0;
const x_scaled = x.add(-1.0 * dX).mul(1.0 / ratio).add(0.5);
const y_scaled = y.add(-1.0 * dY).mul(1.0 / ratio).add(0.5);
tiled = tiled.scatter(x_scaled, base_offset.cast(new Int32));
tiled = tiled.scatter(y_scaled, base_offset.add(1).cast(new Int32));
tiled = tiled.scatter(df.get('size').mul(2), base_offset.add(2).cast(new Int32));
tiled = tiled.scatter(color_ints.view(new Float32), base_offset.add(3).cast(new Int32));
const writer = RecordBatchStreamWriter.writeAll(new DataFrame({nodes: tiled}).toArrow());
await reply.code(200).send(writer.toNodeStream());
}
}
});
fastify.route({
method: 'GET',
url: '/edges',
handler: async (request, reply) => {
let message = 'Error';
let result = {success: false, message: message};
/** @type DataFrame<{x: Float32, y: Float32}> */
const df = await fastify.getDataframe('nodes');
/** @type DataFrame<{x: Int32, y: Int32}> */
const edges = await fastify.getDataframe('edges');
if (df == undefined) {
result.message = 'Table not found';
await reply.code(404).send(result);
} else {
try {
// tile x, y, size, color
let tiled = Series.sequence({type: new Float32, init: 0.0, size: (6 * edges.numRows)});
let base_offset =
Series.sequence({type: new Int32, init: 0.0, size: edges.numRows}).mul(3);
//
// Duplicatin the sigma.js createNormalizationFunction here because this is the best way
// to let the Graph object compute it on GPU.
//
// Remap the indices in the key table to their real targets.
const keys = df.get('key');
const keys_df = new DataFrame({'keys': keys});
const source_unordered = edges.get('source');
const target_unordered = edges.get('target');
source_df = new DataFrame({
'keys': source_unordered,
'idx': Series.sequence({size: source_unordered.length, init: 0})
});
target_df = new DataFrame({
'keys': target_unordered,
'idx': Series.sequence({size: target_unordered.length, init: 0})
});
const source_idx_df = keys_df.join({other: source_df, on: ['keys'], how: 'left'});
const target_idx_df = keys_df.join({other: target_df, on: ['keys'], how: 'left'});
let source_map = source_idx_df.get('idx')
let target_map = target_idx_df.get('idx')
if (source_map.nullCount > 0) { throw 'Edge sources do not match node keys'; }
if (target_map.nullCount > 0) { throw 'Edge targets do not match node keys'; }
let x = df.get('x');
let y = df.get('y');
const [xMin, xMax] = x.minmax();
const [yMin, yMax] = y.minmax();
const ratio = Math.max(xMax - xMin, yMax - yMin);
const dX = (xMax + xMin) / 2.0;
const dY = (yMax + yMin) / 2.0;
x = x.add(-1.0 * dX).mul(1.0 / ratio).add(0.5);
y = y.add(-1.0 * dY).mul(1.0 / ratio).add(0.5);
const source_xmap = x.gather(source_map, false);
const source_ymap = y.gather(source_map, false);
const target_xmap = x.gather(target_map, false);
const target_ymap = y.gather(target_map, false);
const color = Series.new(['#999'])
.hexToIntegers(new Int32)
.bitwiseOr(0xff000000)
.view(new Float32)
.toArray()[0];
tiled =
tiled.scatter(Series.new(source_xmap), Series.new(base_offset.mul(2)).cast(new Int32));
tiled = tiled.scatter(Series.new(source_ymap),
Series.new(base_offset.mul(2).add(1)).cast(new Int32));
tiled = tiled.scatter(color, Series.new(base_offset.mul(2).add(2).cast(new Int32)));
tiled = tiled.scatter(Series.new(target_xmap),
Series.new(base_offset.mul(2).add(3)).cast(new Int32));
tiled = tiled.scatter(Series.new(target_ymap),
Series.new(base_offset.mul(2).add(4)).cast(new Int32));
tiled = tiled.scatter(color, Series.new(base_offset.mul(2).add(5).cast(new Int32)));
const writer = RecordBatchStreamWriter.writeAll(new DataFrame({edges: tiled}).toArrow());
await reply.code(200).send(writer.toNodeStream());
} catch (e) {
if (e.includes('do not match') >= 0) {
result.statusCode = 422;
} else {
result.statusCode = 500;
}
result.success = false;
result.message = e;
await reply.code(result.statusCode).send(result);
}
}
}
});
fastify.route({
method: 'POST',
url: '/release',
handler: async (request, reply) => {
await fastify.clearDataFrames();
await reply.code(200).send({message: 'OK'})
}
});
}
| 0 |
rapidsai_public_repos/node/modules/demo/api-server
|
rapidsai_public_repos/node/modules/demo/api-server/plugins/README.md
|
# Plugins Folder
Plugins define behavior that is common to all the routes in your
application. Authentication, caching, templates, and all the other cross
cutting concerns should be handled by plugins placed in this folder.
Files in this folder are typically defined through the
[`fastify-plugin`](https://github.com/fastify/fastify-plugin) module,
making them non-encapsulated. They can define decorators and set hooks
that will then be used in the rest of your application.
Check out:
* [The hitchhiker's guide to plugins](https://www.fastify.io/docs/latest/Guides/Plugins-Guide/)
* [Fastify decorators](https://www.fastify.io/docs/latest/Reference/Decorators/).
* [Fastify lifecycle](https://www.fastify.io/docs/latest/Reference/Lifecycle/).
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rapidsai_public_repos/node/modules/demo/api-server
|
rapidsai_public_repos/node/modules/demo/api-server/plugins/support.js
|
'use strict'
const fp = require('fastify-plugin')
// the use of fastify-plugin is required to be able
// to export the decorators to the outer scope
module.exports = fp(async function (fastify, opts) {
fastify.decorate('someSupport', function () {
return 'hugs'
})
})
| 0 |
rapidsai_public_repos/node/modules/demo/api-server
|
rapidsai_public_repos/node/modules/demo/api-server/plugins/sensible.js
|
'use strict'
const fp = require('fastify-plugin')
/**
* This plugins adds some utilities to handle http errors
*
* @see https://github.com/fastify/fastify-sensible
*/
module.exports = fp(async function (fastify, opts) {
fastify.register(require('@fastify/sensible'), {
errorHandler: false
})
})
| 0 |
rapidsai_public_repos/node/modules/demo/api-server
|
rapidsai_public_repos/node/modules/demo/api-server/test/fixtures.js
|
// Copyright (c) 2022, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
const json_good = {
'json_good.txt':
` {
"nodes":
[
{
"key": "customer data management",
"label": "Customer data management",
"tag": "Field",
"URL": "https://en.wikipedia.org/wiki/Customer%20data%20management",
"cluster": "7",
"x": -278.2200012207031,
"y": 436.0100402832031,
"score": 0
},
{
"key": "educational data mining",
"label": "Educational data mining",
"tag": "Field",
"URL": "https://en.wikipedia.org/wiki/Educational%20data%20mining",
"cluster": "7",
"x": -1.9823756217956543,
"y": 250.4990692138672,
"score": 0
}
],
"edges":
[
["office suite", "human interactome"],
["educational data mining", "human interactome"],
],
"clusters":
[
{"key": "0", "color": "#6c3e81", "clusterLabel": "human interactome"},
{"key": "1", "color": "#666666", "clusterLabel": "Spreadsheets"},
],
"tags": [
{"key": "Chart type", "image": "charttype.svg"},
{"key": "Company", "image": "company.svg"},
]
} `
};
const json_large = {
'json_large.txt':
` {
"attributes": {},
"nodes": [
{
"key": "0",
"attributes": {
"cluster": 0,
"x": -13.364310772761677,
"y": 4.134339113107921,
"size": 0,
"label": "Node n°291, in cluster n°0",
"color": "#e24b04"
}
},
{
"key": "1",
"attributes": {
"cluster": 1,
"x": 1.3836898237261988,
"y": -11.536596764896206,
"size": 1,
"label": "Node n°292, in cluster n°1",
"color": "#323455"
}
}
],
"edges": [
{"key": "geid_115_98", "source": "1", "target": "0"},
{"key": "geid_115_99", "source": "0", "target": "1"}
],
"options": {"type": "mixed", "multi": false, "allowSelfLoops": true}
}`
};
const json_out_of_order = {
'json_out_of_order.txt':
` {
"attributes": {},
"nodes": [
{
"key": "290",
"attributes": {
"cluster": 0,
"x": -13.364310772761677,
"y": 4.134339113107921,
"size": 0,
"label": "Node n°291, in cluster n°0",
"color": "#e24b04"
}
},
{
"key": "291",
"attributes": {
"cluster": 1,
"x": 1.3836898237261988,
"y": -11.536596764896206,
"size": 1,
"label": "Node n°292, in cluster n°1",
"color": "#323455"
}
}
],
"edges": [
{"key": "geid_115_98", "source": "290", "target": "291"},
{"key": "geid_115_99", "source": "291", "target": "290"}
],
"options": {"type": "mixed", "multi": false, "allowSelfLoops": true}
}`
};
const json_bad_map = {
'json_bad_map.txt':
` {
"attributes": {},
"nodes": [
{
"key": "290",
"attributes": {
"cluster": 0,
"x": -13.364310772761677,
"y": 4.134339113107921,
"size": 0,
"label": "Node n°291, in cluster n°0",
"color": "#e24b04"
}
},
{
"key": "291",
"attributes": {
"cluster": 1,
"x": 1.3836898237261988,
"y": -11.536596764896206,
"size": 1,
"label": "Node n°292, in cluster n°1",
"color": "#323455"
}
}
],
"edges": [
{"key": "geid_115_98", "source": "0", "target": "1"},
{"key": "geid_115_99", "source": "1", "target": "0"}
],
"options": {"type": "mixed", "multi": false, "allowSelfLoops": true}
}`
};
module.exports = {
json_good: json_good,
json_large: json_large,
json_out_of_order: json_out_of_order,
json_bad_map: json_bad_map,
};
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rapidsai_public_repos/node/modules/demo/api-server
|
rapidsai_public_repos/node/modules/demo/api-server/test/helper.js
|
'use strict'
// This file contains code that we reuse
// between our tests.
const { build: buildApplication } = require('fastify-cli/helper')
const path = require('path')
const AppPath = path.join(__dirname, '..', 'app.js')
// Fill in this config with all the configurations
// needed for testing the application
function config () {
return {}
}
// automatically build and tear down our instance
async function build (t) {
// you can set all the options supported by the fastify CLI command
const argv = [AppPath]
// fastify-plugin ensures that all decorators
// are exposed for testing purposes, this is
// different from the production setup
const app = await buildApplication(argv, config())
// tear down our app after we are done
t.teardown(app.close.bind(app))
return app
}
module.exports = {
config,
build
}
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rapidsai_public_repos/node/modules/demo/api-server/test
|
rapidsai_public_repos/node/modules/demo/api-server/test/routes/root.test.js
|
// Copyright (c) 2022, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
'use strict'
const {test} = require('tap');
const {build} = require('../helper');
test('root returns API description', async (t) => {
const app = await build(t);
const res = await app.inject({url: '/'});
t.same(JSON.parse(res.payload), {
graphology: {
description: 'The graphology api provides GPU acceleration of graphology datasets.',
schema: {
read_json: {
filename: 'A URI to a graphology json dataset file.',
result: `Causes the node-rapids backend to attempt to load the json object specified
by :filename. The GPU will attempt to parse the json file asynchronously and will
return OK/ Not Found/ or Fail based on the file status.
If the load is successful, four tables will be created in the node-rapids backend:
nodes, edges, clusters, and tags. The root objects in the json target must match
these names and order.`,
returns: 'Result OK/Not Found/Fail'
},
read_large_demo: {
filename:
'A URI to a graphology json dataset file matching the sigma.js/examples/large-demos spec.',
result: `Produces the same result as 'read_json'.
If the load is successful, three tables will be created in the node-rapids backend:
nodes, edges, and options.`,
returns: 'Result OK/Not Found/Fail'
},
list_tables: {returns: 'Tables that are available presently in GPU memory.'},
get_table: {
':table':
{table: 'The name of the table that has been allocated previously into GPU memory.'}
},
get_column: {':table': {':column': {table: 'The table name', column: 'The column name'}}},
nodes: {
returns:
'Returns the existing nodes table after applying normalization functions for sigma.js'
},
nodes: {bounds: {returns: 'Returns the x and y bounds to be used in rendering.'}},
edges:
{return: 'Returns the existing edges table after applying normalization for sigma.js'}
}
}
});
});
| 0 |
rapidsai_public_repos/node/modules/demo/api-server/test
|
rapidsai_public_repos/node/modules/demo/api-server/test/routes/graphology.test.js
|
// Copyright (c) 2022, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
'use strict'
const {dir} = require('console');
const {test} = require('tap');
const {build} = require('../helper');
const {tableFromIPC, RecordBatchStreamWriter} = require('apache-arrow');
const {json_large, json_good, json_out_of_order, json_bad_map} = require('../fixtures.js');
test('graphology root returns api description', async t => {
const app = await build(t);
const res = await app.inject({url: '/graphology'})
t.same(JSON.parse(res.payload), {
graphology: {
description: 'The graphology api provides GPU acceleration of graphology datasets.',
schema: {
read_json: {
filename: 'A URI to a graphology json dataset file.',
result: `Causes the node-rapids backend to attempt to load the json object specified
by :filename. The GPU will attempt to parse the json file asynchronously and will
return OK/ Not Found/ or Fail based on the file status.
If the load is successful, four tables will be created in the node-rapids backend:
nodes, edges, clusters, and tags. The root objects in the json target must match
these names and order.`,
returns: 'Result OK/Not Found/Fail'
},
read_large_demo: {
filename:
'A URI to a graphology json dataset file matching the sigma.js/examples/large-demos spec.',
result: `Produces the same result as 'read_json'.
If the load is successful, three tables will be created in the node-rapids backend:
nodes, edges, and options.`,
returns: 'Result OK/Not Found/Fail'
},
list_tables: {returns: 'Tables that are available presently in GPU memory.'},
get_table: {
':table':
{table: 'The name of the table that has been allocated previously into GPU memory.'}
},
get_column: {':table': {':column': {table: 'The table name', column: 'The column name'}}},
nodes: {
returns:
'Returns the existing nodes table after applying normalization functions for sigma.js'
},
nodes: {bounds: {returns: 'Returns the x and y bounds to be used in rendering.'}},
edges:
{return: 'Returns the existing edges table after applying normalization for sigma.js'}
}
}
})
});
test('read_json no filename', async t => {
const app = await build(t);
const res = await app.inject({method: 'POST', url: '/graphology/read_json'});
t.same(
JSON.parse(res.payload),
{success: false, message: 'Parameter filename is required', params: '{}', statusCode: 400});
});
test('read_json no file', async (t) => {
const app = await build(t);
const res =
await app.inject({method: 'POST', url: '/graphology/read_json?filename=filenotfound.txt'});
const payload = JSON.parse(res.payload);
t.ok(payload.message.includes('no such file or directory'));
t.equal(payload.statusCode, 404);
});
test('read_json incorrect format', async (t) => {
const dir = t.testdir({
'json_bad.txt': ` {
[
{
"key": "customer data management",
"label": "Customer data management",
"cluster": "7",
"x": -278.2200012207031,
"y": 436.0100402832031,
"score": 0
},
{
"key": "educational data mining",
"label": "Educational data mining",
"cluster": "7",
"x": -1.9823756217956543,
"y": 250.4990692138672,
"score": 0
},
],
"edges":
[
["office suite", "human interactome"],
["educational data mining", "human interactome"],
],
"clusters":
[
{"key": "0", "color": "#6c3e81", "clusterLabel": "human interactome"},
{"key": "1", "color": "#666666", "clusterLabel": "Spreadsheets"},
],
"tags": [
{"key": "Chart type", "image": "charttype.svg"},
{"key": "Company", "image": "company.svg"},
]
} `
});
const rpath = '../../test/routes/' + dir.substring(dir.lastIndexOf('/')) + '/json_bad.txt';
const app = await build(t);
const res = await app.inject({method: 'POST', url: '/graphology/read_json?filename=' + rpath});
const release = await app.inject({method: 'POST', url: '/graphology/release'});
const payload = JSON.parse(res.payload);
t.equal(payload.message, 'Bad graphology format: nodes not found.');
t.equal(payload.success, false);
});
test('read_json file good', async (t) => {
const dir = t.testdir(json_good);
const rpath = '../../test/routes/' + dir.substring(dir.lastIndexOf('/')) + '/json_good.txt';
const app = await build(t);
const res = await app.inject({method: 'POST', url: '/graphology/read_json?filename=' + rpath});
const release = await app.inject({method: 'POST', url: '/graphology/release'});
const payload = JSON.parse(res.payload);
t.equal(payload.message, 'File read onto GPU.');
t.equal(payload.success, true);
});
test('list_tables', async (t) => {
const dir = t.testdir(json_good);
const rpath = '../../test/routes/' + dir.substring(dir.lastIndexOf('/')) + '/json_good.txt';
const app = await build(t);
const load = await app.inject({method: 'POST', url: '/graphology/read_json?filename=' + rpath});
const res = await app.inject({method: 'GET', url: '/graphology/list_tables'});
const release = await app.inject({method: 'POST', url: '/graphology/release'});
const payload = JSON.parse(res.payload);
t.ok(payload.includes('nodes'));
});
test('get_table', async (t) => {
const dir = t.testdir(json_good);
const rpath = '../../test/routes/' + dir.substring(dir.lastIndexOf('/')) + '/json_good.txt';
const app = await build(t);
const load = await app.inject({method: 'POST', url: '/graphology/read_json?filename=' + rpath});
const res = await app.inject({
method: 'GET',
url: '/graphology/get_table/nodes',
header: {'accepts': 'application/octet-stream'}
});
t.same(res.statusCode, 200);
const table = tableFromIPC(res.rawPayload);
const release = await app.inject({method: 'POST', url: '/graphology/release'});
t.same(table.schema.names, ['key', 'label', 'tag', 'URL', 'cluster', 'x', 'y', 'score']);
t.equal(table.numRows, 2);
t.equal(table.numCols, 8);
});
test('get_column', async (t) => {
const dir = t.testdir(json_good);
const rpath = '../../test/routes/' + dir.substring(dir.lastIndexOf('/')) + '/json_good.txt';
const app = await build(t);
const load = await app.inject({method: 'POST', url: '/graphology/read_json?filename=' + rpath});
const res = await app.inject({
method: 'GET',
url: '/graphology/get_column/nodes/score',
header: {'accepts': 'application/octet-stream'}
});
t.same(res.statusCode, 200);
const table = tableFromIPC(res.rawPayload);
const release = await app.inject({method: 'POST', url: '/graphology/release'});
t.same(table.schema.names, ['score']);
t.equal(table.numRows, 2);
t.equal(table.numCols, 1);
});
test('nodes', async (t) => {
const dir = t.testdir(json_large);
const rpath = '../../test/routes/' + dir.substring(dir.lastIndexOf('/')) + '/json_large.txt';
const app = await build(t);
const load =
await app.inject({method: 'POST', url: '/graphology/read_large_demo?filename=' + rpath});
const res = await app.inject(
{method: 'GET', url: '/graphology/nodes', headers: {'accepts': 'application/octet-stream'}});
t.same(res.statusCode, 200);
const table = await tableFromIPC(res.rawPayload);
t.ok(table.getChild('nodes'));
t.same(table.getChild('nodes').toArray(), new Float32Array([
0.02944733388721943,
1,
0,
-1.4006860109112203e+29,
0.9705526828765869,
0,
2,
-5.515159729197043e+28
]))
const release = await app.inject({method: 'POST', url: '/graphology/release'});
});
test('nodes/bounds', async (t) => {
const dir = t.testdir(json_large);
const rpath = '../../test/routes/' + dir.substring(dir.lastIndexOf('/')) + '/json_large.txt';
const app = await build(t);
const load =
await app.inject({method: 'POST', url: '/graphology/read_large_demo?filename=' + rpath});
const res = await app.inject({method: 'GET', url: '/graphology/nodes/bounds'});
t.same(JSON.parse(res.payload), {
'success': true,
'message': 'Success',
'bounds': {
'xmin': -13.364311218261719,
'xmax': 1.3836898803710938,
'ymin': -11.536596298217773,
'ymax': 4.134339332580566,
}
});
const release = await app.inject({method: 'POST', url: '/graphology/release'});
});
test('nodes then nodes/bounds', async (t) => {
const dir = t.testdir(json_large);
const rpath = '../../test/routes/' + dir.substring(dir.lastIndexOf('/')) + '/json_large.txt';
const app = await build(t);
const load =
await app.inject({method: 'POST', url: '/graphology/read_large_demo?filename=' + rpath});
const nodes = await app.inject(
{method: 'GET', url: '/graphology/nodes', headers: {'accepts': 'application/octet-stream'}});
t.same(nodes.statusCode, 200);
const table = await tableFromIPC(nodes.rawPayload);
t.ok(table.getChild('nodes'));
t.same(table.getChild('nodes').toArray(), new Float32Array([
0.02944733388721943,
1,
0,
-1.4006860109112203e+29,
0.9705526828765869,
0,
2,
-5.515159729197043e+28
]))
const bounds = await app.inject({method: 'GET', url: '/graphology/nodes/bounds'});
t.same(JSON.parse(bounds.payload), {
'success': true,
'message': 'Success',
'bounds': {
'xmin': -13.364311218261719,
'xmax': 1.3836898803710938,
'ymin': -11.536596298217773,
'ymax': 4.134339332580566,
}
});
const release = await app.inject({method: 'POST', url: '/graphology/release'});
});
test('edges', async (t) => {
const dir = t.testdir(json_large);
const rpath = '../../test/routes/' + dir.substring(dir.lastIndexOf('/')) + '/json_large.txt';
const app = await build(t);
const load =
await app.inject({method: 'POST', url: '/graphology/read_large_demo?filename=' + rpath});
const res = await app.inject(
{method: 'GET', url: '/graphology/edges', header: {'accepts': 'application/octet-stream'}});
t.equal(res.statusCode, 200);
const table = tableFromIPC(res.rawPayload);
const release = await app.inject({method: 'POST', url: '/graphology/release'});
t.ok(table.getChild('edges'));
t.same(table.getChild('edges').toArray(), new Float32Array([
0.9705526828765869,
0,
-1.701910173408654e+38,
0.02944733388721943,
1,
-1.701910173408654e+38,
0.02944733388721943,
1,
-1.701910173408654e+38,
0.9705526828765869,
0,
-1.701910173408654e+38
]))
});
test('edges and nodes do not begin with 0', async (t) => {
const dir = t.testdir(json_out_of_order);
const rpath =
'../../test/routes/' + dir.substring(dir.lastIndexOf('/')) + '/json_out_of_order.txt';
const app = await build(t);
const load =
await app.inject({method: 'POST', url: '/graphology/read_large_demo?filename=' + rpath});
const res = await app.inject(
{method: 'GET', url: '/graphology/edges', header: {'accepts': 'application/octet-stream'}});
const release = await app.inject({method: 'POST', url: '/graphology/release'});
debugger;
t.equal(res.statusCode, 200);
const table = tableFromIPC(res.rawPayload);
t.ok(table.getChild('edges'));
t.same(table.getChild('edges').toArray(), new Float32Array([
0.02944733388721943,
1,
-1.701910173408654e+38,
0.9705526828765869,
0,
-1.701910173408654e+38,
0.9705526828765869,
0,
-1.701910173408654e+38,
0.02944733388721943,
1,
-1.701910173408654e+38,
]))
});
test('edge keys do not match node keys', {only: true}, async (t) => {
const dir = t.testdir(json_bad_map);
const rpath = '../../test/routes/' + dir.substring(dir.lastIndexOf('/')) + '/json_bad_map.txt';
const app = await build(t);
const load =
await app.inject({method: 'POST', url: '/graphology/read_large_demo?filename=' + rpath});
const res = await app.inject(
{method: 'GET', url: '/graphology/edges', header: {'accepts': 'application/octet-stream'}});
const release = await app.inject({method: 'POST', url: '/graphology/release'});
debugger;
t.equal(res.statusCode, 422);
t.same(JSON.parse(res.payload),
{success: false, message: 'Edge sources do not match node keys', statusCode: 422});
});
| 0 |
rapidsai_public_repos/node/modules/demo/api-server/test
|
rapidsai_public_repos/node/modules/demo/api-server/test/plugins/gpu_cache.test.js
|
// Copyright (c) 2022, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
'use strict'
const {test} = require('tap')
const Fastify = require('fastify')
const Support = require('../../plugins/support')
const fixtures = require('../fixtures.js');
const gpuCache = require('../../util/gpu_cache.js');
test('clearCachedGPUData()', async t => {
await gpuCache.setDataframe('bob', 5);
const result = await gpuCache.getDataframe('bob');
t.equal(result, 5);
});
test('read_large_graph_demo', async t => {
const dir = t.testdir(fixtures);
const result = await gpuCache.readLargeGraphDemo(dir + '/json_large/json_large.txt');
await gpuCache.clearDataframes();
t.same(Object.keys(result), ['nodes', 'edges', 'options']);
});
test('readGraphology', async t => {
const dir = t.testdir(fixtures);
const result = await gpuCache.readGraphology(dir + '/json_good/json_good.txt');
await gpuCache.clearDataframes();
t.same(Object.keys(result), ['nodes', 'edges', 'tags', 'clusters']);
});
| 0 |
rapidsai_public_repos/node/modules/demo
|
rapidsai_public_repos/node/modules/demo/luma/package.json
|
{
"private": true,
"name": "@rapidsai/demo-luma.gl-lessons",
"main": "index.js",
"version": "22.12.2",
"license": "Apache-2.0",
"author": "NVIDIA, Inc. (https://nvidia.com/)",
"maintainers": [
"Paul Taylor <[email protected]>"
],
"bin": "index.js",
"scripts": {
"start": "node --experimental-vm-modules --enable-source-maps --trace-uncaught index.js",
"watch": "find -type f | entr -c -d -r node --experimental-vm-modules --enable-source-maps --trace-uncaught index.js"
},
"dependencies": {
"@rapidsai/glfw": "~22.12.2",
"@rapidsai/jsdom": "~22.12.2"
},
"files": [
"lessons",
"index.js",
"package.json"
]
}
| 0 |
rapidsai_public_repos/node/modules/demo
|
rapidsai_public_repos/node/modules/demo/luma/index.js
|
#!/usr/bin/env node
// Copyright (c) 2020, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
module.exports = (glfwOptions = {
title: 'Luma Demo',
}) => {
const {RapidsJSDOM} = require('@rapidsai/jsdom');
const jsdom = new RapidsJSDOM({
glfwOptions: glfwOptions,
// Change cwd to the example dir so relative file paths are resolved
module: {path: require('path').join(__dirname, `lessons`, process.argv[2])}
});
jsdom.window.evalFn(() => import(`./app.js`));
return jsdom;
};
if (require.main === module) {
module.exports().window.addEventListener('close', () => process.exit(0), {once: true});
}
| 0 |
rapidsai_public_repos/node/modules/demo
|
rapidsai_public_repos/node/modules/demo/luma/README.md
|
## Luma.gl Lessons Demo
Running [Luma.gl](https://luma.gl/) lessons in a glfw instance, based on [webGL lessons](https://github.com/tparisi/webgl-lessons). Lessons 01 - 16 availble.
## Featured Dependencies
- @rapidsai/jsdom
- @rapidsai/glfw
Example of starting lesson 01:
```bash
yarn start 01`
```
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/07/package.json
|
{
"version": "0.0.1",
"private": true,
"name": "@rapidsai/demo-luma.gl-lessons-07",
"scripts": {
"start": "webpack-dev-server --progress --hot --open -d",
"start-local": "webpack-dev-server --env.local --progress --hot --open -d"
},
"dependencies": {
"@loaders.gl/images": "3.2.9",
"@luma.gl/constants": "8.5.16",
"@luma.gl/core": "8.5.16",
"@luma.gl/experimental": "8.5.16",
"@luma.gl/shadertools": "8.5.16",
"math.gl": "3.6.3"
}
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/07/app.js
|
import GL from '@luma.gl/constants';
import {Matrix4} from 'math.gl';
import { AnimationLoop } from '@luma.gl/engine';
import { Texture2D } from '@luma.gl/webgl';
import { setParameters, CubeGeometry } from '@luma.gl/core';
import { ModelNode } from '@luma.gl/experimental';
export const INFO_HTML = `
<p>
<a href="http://learningwebgl.com/blog/?p=684" target="_blank">
Basic directional and ambient lighting
</a>
<br/>
<br/>
Use arrow keys to spin the box and <code>+</code>/<code>-</code> to zoom in/out.
<br/>
<!--
<h2>Directional light:</h2>
<table style="border: 0; padding: 10px;">
<tr>
<td><b>Direction:</b>
<td>X: <input type="text" id="lightDirectionX" value="-0.25" />
<td>Y: <input type="text" id="lightDirectionY" value="-0.25" />
<td>Z: <input type="text" id="lightDirectionZ" value="-1.0" />
</tr>
<tr>
<td><b>Colour:</b>
<td>R: <input type="text" id="directionalR" value="0.8" />
<td>G: <input type="text" id="directionalG" value="0.8" />
<td>B: <input type="text" id="directionalB" value="0.8" />
</tr>
</table>
<h2>Ambient light:</h2>
<table style="border: 0; padding: 10px;">
<tr>
<td><b>Colour:</b>
<td>R: <input type="text" id="ambientR" value="0.2" />
<td>G: <input type="text" id="ambientG" value="0.2" />
<td>B: <input type="text" id="ambientB" value="0.2" />
</tr>
</table>
-->
<div>
<input type="checkbox" id="lighting" checked/> <b>Directional Lighting</b>
<br/>
<div class="control-block">
<div class="control-row">
Direction:
<div>X:
<input id="lightDirectionX" type="range" value="-0.25" min="-5" max="5" step="0.1"/>
</div>
<div>Y:
<input id="lightDirectionY" type="range" value="-0.25" min="-5" max="5" step="0.1"/>
</div>
<div>Z:
<input id="lightDirectionZ" type="range" value="1.0" min="0" max="5" step="0.1"/>
</div>
</div>
<div class="control-row">
Colour:
<div>R:
<input id="directionalR" type="range" value="0.2" min="0.0" max="1.0" step="0.01"/>
</div>
<div>G:
<input id="directionalG" type="range" value="0.2" min="0.0" max="1.0" step="0.01"/>
</div>
<div>B:
<input id="directionalB" type="range" value="0.2" min="0.0" max="1.0" step="0.01"/>
</div>
</div>
</div>
</div>
<br/>
<div>
<div><b>Ambient Lighting</b></div>
<div class="control-block">
<div class="control-row">
Colour:
<div>R:
<input id="ambientR" type="range" value="0.2" min="0.0" max="1.0" step="0.01"/>
</div>
<div>G:
<input id="ambientG" type="range" value="0.2" min="0.0" max="1.0" step="0.01"/>
</div>
<div>B:
<input id="ambientB" type="range" value="0.2" min="0.0" max="1.0" step="0.01"/>
</div>
</div>
</div>
</div>
<p>
The classic WebGL Lessons in luma.gl
`;
// Read Lighting form elements variables
function getHTMLControls() {
/* global document */
const $id = id => document.getElementById(id);
const $value = (id, defaultValue = 1) => ($id(id) ? Number($id(id).value) : defaultValue);
const $checked = id => ($id(id) ? $id(id).checked : true);
// Get lighting form elements
const lightingEnabled = $checked('lighting');
const lightDirection = [
$value('lightDirectionX', 0),
$value('lightDirectionY', 0),
$value('lightDirectionZ', 1)
];
const lightColor = [$value('directionalR'), $value('directionalG'), $value('directionalB')];
const ambientColor = [$value('ambientR'), $value('ambientG'), $value('ambientB')];
return {
lightingEnabled,
lightDirection,
lightColor,
ambientColor
};
}
const VERTEX_SHADER = `\
attribute vec3 positions;
attribute vec2 texCoords;
attribute vec3 normals;
uniform mat4 uMVMatrix;
uniform mat4 uPMatrix;
uniform vec3 uAmbientColor;
uniform vec3 uLightingDirection;
uniform vec3 uDirectionalColor;
uniform bool uUseLighting;
varying vec2 vTextureCoord;
varying vec3 vLightWeighting;
void main(void) {
gl_Position = uPMatrix * uMVMatrix * vec4(positions, 1.0);
vTextureCoord = texCoords;
if (!uUseLighting) {
vLightWeighting = vec3(1.0, 1.0, 1.0);
} else {
// Perform lighting in world space
// we should use 'transpose(inverse(mat3(uMVMatrix)))', but
// 'inverse' matrix operation not supported in GLSL 1.0, for now use
// upper-left 3X3 matrix of model view matrix, it works since we are not
// doing any non-uniform scaling transormations in this example.
mat3 normalMatrix = mat3(uMVMatrix);
vec3 transformedNormal = normalMatrix * normals;
float directionalLightWeighting = max(dot(transformedNormal, uLightingDirection), 0.0);
vLightWeighting = uAmbientColor + uDirectionalColor * directionalLightWeighting;
}
}
`;
const FRAGMENT_SHADER = `\
precision highp float;
varying vec2 vTextureCoord;
varying vec3 vLightWeighting;
uniform sampler2D uSampler;
void main(void) {
vec4 textureColor = texture2D(uSampler, vec2(vTextureCoord.s, vTextureCoord.t));
gl_FragColor = vec4(textureColor.rgb * vLightWeighting, textureColor.a);
}
`;
let xRot = 0;
let xSpeed = 0.01;
let yRot = 0;
let ySpeed = 0.0;
let z = -5.0;
export default class AppAnimationLoop extends AnimationLoop {
static getInfo() {
return INFO_HTML;
}
onInitialize({canvas, gl}) {
document.addEventListener('keydown', keyboardEventHandler);
setParameters(gl, {
clearColor: [0, 0, 0, 1],
clearDepth: 1,
depthTest: true,
depthFunc: GL.LEQUAL
});
return {
cube: new ModelNode(gl, {
geometry: new CubeGeometry(),
vs: VERTEX_SHADER,
fs: FRAGMENT_SHADER,
uniforms: {uSampler: new Texture2D(gl, 'crate.gif')}
})
};
}
onRender({gl, tick, aspect, cube}) {
xRot += xSpeed;
yRot += ySpeed;
gl.clear(GL.COLOR_BUFFER_BIT | GL.DEPTH_BUFFER_BIT);
// update element matrix to rotate cube on its center
cube.setRotation([xRot, yRot, 0]).updateMatrix();
const uMVMatrix = new Matrix4()
.lookAt({eye: [0, 0, 0]})
.translate([0, 0, z])
.rotateXYZ([tick * 0.01, tick * 0.01, tick * 0.01])
.multiplyRight(cube.matrix);
const {lightDirection, ambientColor} = getHTMLControls();
cube
.setUniforms({
uMVMatrix,
uPMatrix: new Matrix4().perspective({aspect}),
uAmbientColor: ambientColor,
uLightingDirection: lightDirection,
uDirectionalColor: [0.8, 0.8, 0.8],
uUseLighting: true
})
.draw();
}
onFinalize() {
document.removeEventListener('keydown', keyboardEventHandler);
}
}
function keyboardEventHandler(e) {
switch (e.code) {
case 'ArrowUp':
xSpeed -= 0.02;
break;
case 'ArrowDown':
xSpeed += 0.02;
break;
case 'ArrowLeft':
ySpeed -= 0.02;
break;
case 'ArrowRight':
ySpeed += 0.02;
break;
case 'Equal': // '+'
z += 0.05;
break;
case 'Minus': // '-'
z -= 0.05;
break;
default:
}
}
/* global window */
if (typeof window !== 'undefined' && !window.website) {
const animationLoop = new AppAnimationLoop();
animationLoop.start();
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/06/package.json
|
{
"version": "0.0.1",
"private": true,
"name": "@rapidsai/demo-luma.gl-lessons-06",
"scripts": {
"start": "webpack-dev-server --progress --hot --open -d",
"start-local": "webpack-dev-server --env.local --progress --hot --open -d"
},
"dependencies": {
"@loaders.gl/images": "3.2.9",
"@luma.gl/constants": "8.5.16",
"@luma.gl/core": "8.5.16",
"@luma.gl/experimental": "8.5.16",
"@luma.gl/shadertools": "8.5.16",
"math.gl": "3.6.3"
}
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/06/app.js
|
import GL from '@luma.gl/constants';
import {Matrix4} from 'math.gl';
import { AnimationLoop, CubeGeometry } from '@luma.gl/engine';
import { Texture2D, loadImage } from '@luma.gl/webgl';
import { setParameters } from '@luma.gl/core';
import { ModelNode } from '@luma.gl/experimental';
const INFO_HTML = `
<p>
<a href="http://learningwebgl.com/blog/?p=571" target="_blank">
Keyboard input and texture filters
</a>
<br/>
<br/>
Use arrow keys to spin the box and <code>+</code>/<code>-</code> to zoom in/out.
<br/>
<br/>
Filter (<code>F</code>): <code><span id='filter'/></code>
<p>
The classic WebGL Lessons in luma.gl
`;
const VERTEX_SHADER = `\
attribute vec3 positions;
attribute vec2 texCoords;
uniform mat4 uMVMatrix;
uniform mat4 uPMatrix;
varying vec2 vTextureCoord;
void main(void) {
gl_Position = uPMatrix * uMVMatrix * vec4(positions, 1.0);
vTextureCoord = texCoords;
}
`;
const FRAGMENT_SHADER = `\
precision highp float;
varying vec2 vTextureCoord;
uniform sampler2D uSampler;
void main(void) {
gl_FragColor = texture2D(uSampler, vec2(vTextureCoord.s, vTextureCoord.t));
}
`;
let xRot = 0;
let xSpeed = 0.01;
let yRot = 0;
let ySpeed = 0.013;
let z = -5.0;
let filter = 0;
const filters = ['nearest', 'linear', 'mipmap'];
function cycleFilter(newFilter) {
filter = newFilter !== undefined ? newFilter : (filter + 1) % 3;
/* global document */
const element = document.getElementById('filter');
if (element) {
element.textContent = `GL.${filters[filter].toUpperCase()}`;
}
}
export default class AppAnimationLoop extends AnimationLoop {
static getInfo() {
return INFO_HTML;
}
onInitialize({canvas, gl}) {
document.addEventListener('keydown', keyboardEventHandler);
setParameters(gl, {
clearColor: [0, 0, 0, 1],
clearDepth: 1,
depthTest: true,
depthFunc: GL.LEQUAL,
[GL.UNPACK_FLIP_Y_WEBGL]: true
});
cycleFilter(0);
// load image
const image = loadImage('crate.gif');
return {
cube: new ModelNode(gl, {
geometry: new CubeGeometry(),
vs: VERTEX_SHADER,
fs: FRAGMENT_SHADER
}),
textures: {
nearest: new Texture2D(gl, {
data: image,
parameters: {
[GL.TEXTURE_MIN_FILTER]: GL.NEAREST,
[GL.TEXTURE_MAG_FILTER]: GL.NEAREST
},
pixelStore: {
[GL.UNPACK_FLIP_Y_WEBGL]: true
}
}),
linear: new Texture2D(gl, {
data: image,
parameters: {
[GL.TEXTURE_MIN_FILTER]: GL.LINEAR,
[GL.TEXTURE_MAG_FILTER]: GL.LINEAR
},
pixelStore: {
[GL.UNPACK_FLIP_Y_WEBGL]: true
}
}),
mipmap: new Texture2D(gl, {
data: image,
mipmap: true,
parameters: {
[GL.TEXTURE_MIN_FILTER]: GL.LINEAR_MIPMAP_LINEAR,
[GL.TEXTURE_MAG_FILTER]: GL.LINEAR
},
pixelStore: {
[GL.UNPACK_FLIP_Y_WEBGL]: true
}
})
}
};
}
onRender({gl, tick, aspect, cube, textures}) {
xRot += xSpeed;
yRot += ySpeed;
gl.clear(GL.COLOR_BUFFER_BIT | GL.DEPTH_BUFFER_BIT);
// cube
// .setUniforms({
// uSampler: textures[filters[filter]],
// uPMatrix: new Matrix4().perspective({aspect}),
// uMVMatrix: new Matrix4()
// .lookAt({eye: [0, 0, 0]})
// .translate([0, 0, -5])
// })
// .draw();
// draw Cube
// update element matrix to rotate cube on its center
cube.setRotation([xRot, yRot, 0]).updateMatrix();
const uMVMatrix = new Matrix4()
.lookAt({eye: [0, 0, 0]})
.translate([0, 0, z])
.rotateXYZ([tick * 0.01, tick * 0.01, tick * 0.01])
.multiplyRight(cube.matrix);
cube
.setUniforms({
uMVMatrix,
uPMatrix: new Matrix4().perspective({aspect}),
uSampler: textures[filters[filter]]
})
.draw();
}
onFinalize() {
document.removeEventListener('keydown', keyboardEventHandler);
}
}
function keyboardEventHandler(e) {
switch (e.code) {
case 'KeyF':
cycleFilter();
break;
case 'ArrowUp':
xSpeed -= 0.01;
break;
case 'ArrowDown':
xSpeed += 0.01;
break;
case 'ArrowLeft':
ySpeed -= 0.01;
break;
case 'ArrowRight':
ySpeed += 0.01;
break;
case 'Equal': // '+'
z += 0.05;
break;
case 'Minus': // '-'
z -= 0.05;
break;
default:
}
}
/* global window */
if (typeof window !== 'undefined' && !window.website) {
const animationLoop = new AppAnimationLoop();
animationLoop.start();
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/05/package.json
|
{
"version": "0.0.1",
"private": true,
"name": "@rapidsai/demo-luma.gl-lessons-05",
"scripts": {
"start": "webpack-dev-server --progress --hot --open -d",
"start-local": "webpack-dev-server --env.local --progress --hot --open -d"
},
"dependencies": {
"@luma.gl/constants": "8.5.16",
"@luma.gl/core": "8.5.16",
"math.gl": "3.6.3"
}
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/05/app.js
|
import GL from '@luma.gl/constants';
import {Matrix4} from 'math.gl';
import { AnimationLoop, Model, CubeGeometry } from '@luma.gl/engine';
import { Texture2D } from '@luma.gl/webgl';
import { setParameters } from '@luma.gl/core';
const INFO_HTML = `
<p>
<a href="http://learningwebgl.com/blog/?p=507" target="_blank">
Introducing Textures
</a>
<p>
The classic WebGL Lessons in luma.gl
`;
const VERTEX_SHADER = `\
attribute vec3 positions;
attribute vec2 texCoords;
uniform mat4 uMVMatrix;
uniform mat4 uPMatrix;
varying vec2 vTextureCoord;
void main(void) {
gl_Position = uPMatrix * uMVMatrix * vec4(positions, 1.0);
vTextureCoord = texCoords;
}
`;
const FRAGMENT_SHADER = `\
precision highp float;
varying vec2 vTextureCoord;
uniform sampler2D uSampler;
void main(void) {
gl_FragColor = texture2D(uSampler, vec2(vTextureCoord.s, vTextureCoord.t));
}
`;
export default class AppAnimationLoop extends AnimationLoop {
static getInfo() {
return INFO_HTML;
}
onInitialize({gl}) {
setParameters(gl, {
clearColor: [0, 0, 0, 1],
clearDepth: 1,
depthTest: true,
depthFunc: GL.LEQUAL,
[GL.UNPACK_FLIP_Y_WEBGL]: true
});
return {
cube: new Model(gl, {
geometry: new CubeGeometry(),
vs: VERTEX_SHADER,
fs: FRAGMENT_SHADER,
uniforms: {
uSampler: new Texture2D(gl, 'nehe.gif')
}
})
};
}
onRender({gl, tick, aspect, cube}) {
gl.clear(GL.COLOR_BUFFER_BIT | GL.DEPTH_BUFFER_BIT);
return cube
.setUniforms({
uPMatrix: new Matrix4().perspective({aspect}),
uMVMatrix: new Matrix4()
.lookAt({eye: [0, 0, 0]})
.translate([0, 0, -5])
.rotateXYZ([tick * 0.01, tick * 0.01, tick * 0.01])
})
.draw();
}
}
/* global window */
if (typeof window !== 'undefined' && !window.website) {
const animationLoop = new AppAnimationLoop();
animationLoop.start();
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/14/package.json
|
{
"version": "0.0.1",
"private": true,
"name": "@rapidsai/demo-luma.gl-lessons-14",
"description": "The classic WebGL Lesson 14 ported to luma.gl.",
"contributors": [
"Xintong Xia <[email protected]>"
],
"scripts": {
"start": "webpack-dev-server --progress --hot --open -d",
"start-local": "webpack-dev-server --env.local --progress --hot --open -d"
},
"dependencies": {
"@loaders.gl/images": "3.2.9",
"@luma.gl/constants": "8.5.16",
"@luma.gl/core": "8.5.16",
"@luma.gl/experimental": "8.5.16",
"@luma.gl/shadertools": "8.5.16",
"math.gl": "3.6.3"
}
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/14/Teapot.json
|
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}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/14/app.js
|
import GL from '@luma.gl/constants';
import {
AnimationLoop,
Geometry,
Texture2D,
setParameters
} from '@luma.gl/core';
import {Matrix4, radians} from 'math.gl';
import { ModelNode } from '@luma.gl/experimental';
import { loadFile } from '@luma.gl/webgl';
const INFO_HTML = `
<p>
<a href="http://learningwebgl.com/blog/?p=1658" target="_blank">
Specular highlights and loading a JSON model
</a>
<p>
The classic WebGL Lessons in luma.gl
<div id="control-elements">
<input type="checkbox" id="specular" checked/> Show specular highlight<br/>
<input type="checkbox" id="lighting" checked/> Use lighting<br/>
Texture:
<select id="texture">
<option value="none">None</option>
<option selected value="galvanized">Galvanized</option>
<option value="earth">Earth</option>
</select>
<br/>
<h2>Material:</h2>
<div class="control-block">
<div class="control-row">
<div><b>Shininess:</b></div>
<input id="shininess" type="range" value="32.0" min="0.0" max="100.0" step="1"/>
</div>
</div>
<h2>Point light:</h2>
<div class="control-block">
<div class="control-row">
<div><b>Location:</b></div>
<div>X: <input type="text" id="lightPositionX" value="-10.0"/></div>
<div>Y: <input type="text" id="lightPositionY" value="4.0"/></div>
<div>Z: <input type="text" id="lightPositionZ" value="-20.0"/></div>
</div>
<div class="control-row">
<div><b>Specular colour:</b></div>
<div>R:
<input id="specularR" type="range" value="0.8" min="0.0" max="1.0" step="0.01"/>
</div>
<div>G:
<input id="specularG" type="range" value="0.8" min="0.0" max="1.0" step="0.01"/>
</div>
<div>B:
<input id="specularB" type="range" value="0.8" min="0.0" max="1.0" step="0.01"/>
</div>
</div>
<div class="control-row">
<div><b>Diffuse colour:</b></div>
<div>R:
<input id="diffuseR" type="range" value="0.8" min="0.0" max="1.0" step="0.01"/>
</div>
<div>G:
<input id="diffuseG" type="range" value="0.8" min="0.0" max="1.0" step="0.01"/>
</div>
<div>B:
<input id="diffuseB" type="range" value="0.8" min="0.0" max="1.0" step="0.01"/>
</div>
</div>
</div>
<h2>Ambient light:</h2>
<div class="control-block">
<div class="control-row">
<div><b>Colour:</b></div>
<div>R:
<input id="ambientR" type="range" value="0.2" min="0.0" max="1.0" step="0.01"/>
</div>
<div>G:
<input id="ambientG" type="range" value="0.2" min="0.0" max="1.0" step="0.01"/>
</div>
<div>B:
<input id="ambientB" type="range" value="0.2" min="0.0" max="1.0" step="0.01"/>
</div>
</div>
</div>
<br/>
Galvanized texture courtesy of
<a href="http://www.arroway-textures.com/">Arroway Textures</a>.<br/>
Earth texture courtesy of
<a href="http://www.esa.int/esaEO/SEMGSY2IU7E_index_0.html">
the European Space Agency/Envisat
</a>.<br/>
<br/>
The classic WebGL Lessons in luma.gl
</div>
`;
// Read Lighting form elements variables
function getHTMLControls() {
/* global document */
const $id = id => document.getElementById(id);
const $value = (id, defaultValue = 1) => ($id(id) ? Number($id(id).value) : defaultValue);
const $checked = id => ($id(id) ? $id(id).checked : true);
// Get lighting form elements
// const useLighting = lighting.checked;
// const useSpecular = specular.checked;
// const materialShininess = shininess.value;
// Get lighting form elements
const useSpecular = $checked('specular');
const useLighting = $checked('lighting');
const useTextures = $value('texture', 'none') !== 'none';
const shininess = $value('shininess');
const pointLightPosition = [
$value('lightPositionX', -10),
$value('lightPositionY', 4),
$value('lightPositionZ', -20)
];
const pointLightSpecularColor = [
$value('specularR', 0.8),
$value('specularG', 0.8),
$value('specularB', 0.8)
];
const pointLightDiffuseColor = [
$value('diffuseR', 0.8),
$value('diffuseG', 0.8),
$value('diffuseB', 0.8)
];
const ambientColor = [$value('ambientR', 0.2), $value('ambientG', 0.2), $value('ambientB', 0.2)];
return {
useLighting,
useSpecular,
useTextures,
shininess,
texture: $value('texture'),
ambientColor,
pointLightPosition,
pointLightSpecularColor,
pointLightDiffuseColor
};
}
const FRAGMENT_LIGHTING_VERTEX_SHADER = `\
precision highp float;
attribute vec3 positions;
attribute vec3 normals;
attribute vec2 texCoords;
uniform mat4 uMMatrix;
uniform mat4 uVMatrix;
uniform mat4 uPMatrix;
varying vec2 vTextureCoord;
varying vec4 vTransformedNormal;
varying vec4 vPosition;
void main(void) {
vPosition = uMMatrix * vec4(positions, 1.0);
gl_Position = uPMatrix * uVMatrix * vPosition;
vTextureCoord = texCoords;
vTransformedNormal = uMMatrix * vec4(normals, 0.0);
}
`;
const FRAGMENT_LIGHTING_FRAGMENT_SHADER = `\
precision highp float;
varying vec2 vTextureCoord;
varying vec4 vTransformedNormal;
varying vec4 vPosition;
uniform float uMaterialShininess;
uniform bool uShowSpecularHighlights;
uniform bool uUseLighting;
uniform bool uUseTextures;
uniform vec3 uAmbientColor;
uniform vec3 uPointLightingLocation;
uniform vec3 uPointLightingSpecularColor;
uniform vec3 uPointLightingDiffuseColor;
uniform sampler2D uSampler;
void main(void) {
vec3 lightWeighting;
if (!uUseLighting) {
lightWeighting = vec3(1.0, 1.0, 1.0);
} else {
vec3 lightDirection = normalize(uPointLightingLocation - vPosition.xyz);
vec3 normal = normalize(vTransformedNormal.xyz);
float specularLightWeighting = 0.0;
if (uShowSpecularHighlights) {
vec3 eyeDirection = normalize(-vPosition.xyz);
vec3 reflectionDirection = reflect(-lightDirection, normal);
specularLightWeighting =
pow(max(dot(reflectionDirection, eyeDirection), 0.0), uMaterialShininess);
}
float diffuseLightWeighting = max(dot(normal, lightDirection), 0.0);
lightWeighting = uAmbientColor
+ uPointLightingSpecularColor * specularLightWeighting
+ uPointLightingDiffuseColor * diffuseLightWeighting;
}
vec4 fragmentColor;
if (uUseTextures) {
fragmentColor = texture2D(uSampler, vec2(vTextureCoord.s, vTextureCoord.t));
} else {
fragmentColor = vec4(1.0, 1.0, 1.0, 1.0);
}
gl_FragColor = vec4(fragmentColor.rgb * lightWeighting, fragmentColor.a);
}
`;
const TEAPOT_UNIFORMS = {
uMaterialShininess: 20.0,
uShowSpecularHighlights: true,
uUseLighting: true,
uUseTextures: true
};
const LIGHT_UNIFORMS = {
uAmbientColor: [0.2, 0.2, 0.2],
uPointLightingLocation: [-10.0, 4.0, -20.0],
uPointLightingSpecularColor: [0.8, 0.8, 0.8],
uPointLightingDiffuseColor: [0.8, 0.8, 0.8]
};
export default class AppAnimationLoop extends AnimationLoop {
static getInfo() {
return INFO_HTML;
}
onInitialize({gl}) {
setParameters(gl, {
clearColor: [0, 0, 0, 1],
clearDepth: 1,
depthTest: true,
[GL.UNPACK_FLIP_Y_WEBGL]: true
});
return loadFile('Teapot.json').then(file => {
const teapotJson = JSON.parse(file);
const galvanizedTexture = new Texture2D(gl, {
data: 'arroway.de_metal+structure+06_d100_flat.jpg',
parameters: {
[gl.TEXTURE_MAG_FILTER]: gl.LINEAR,
[gl.TEXTURE_MIN_FILTER]: gl.LINEAR_MIPMAP_NEAREST,
[gl.TEXTURE_WRAP_S]: gl.REPEAT,
[gl.TEXTURE_WRAP_T]: gl.REPEAT
},
mipmap: true
});
const earthTexture = new Texture2D(gl, {
urls: 'earth.jpg',
parameters: {
[gl.TEXTURE_MAG_FILTER]: gl.LINEAR,
[gl.TEXTURE_MIN_FILTER]: gl.LINEAR_MIPMAP_NEAREST,
[gl.TEXTURE_WRAP_S]: gl.REPEAT,
[gl.TEXTURE_WRAP_T]: gl.REPEAT
},
mipmap: true
});
const teapot = new ModelNode(gl, {
id: 'teapot-model',
fs: FRAGMENT_LIGHTING_FRAGMENT_SHADER,
vs: FRAGMENT_LIGHTING_VERTEX_SHADER,
geometry: new Geometry({
id: 'teapot-geometry',
attributes: {
positions: new Float32Array(teapotJson.positions),
normals: new Float32Array(teapotJson.normals),
texCoords: new Float32Array(teapotJson.texCoords),
indices: new Uint16Array(teapotJson.indices)
},
drawMode: GL.TRIANGLES
}),
uniforms: Object.assign({uSampler: galvanizedTexture}, TEAPOT_UNIFORMS, LIGHT_UNIFORMS)
});
return {teapot, earthTexture, galvanizedTexture};
});
}
onRender({gl, tick, aspect, teapot, earthTexture, galvanizedTexture}) {
gl.clear(GL.COLOR_BUFFER_BIT | GL.DEPTH_BUFFER_BIT);
// set camera position
// const eyePos = new Matrix4().rotateX(radians(-30)).transformVector3([0, 0, 5]);
const eyePos = new Matrix4().rotateX(radians(-30)).transform([0, 0, 5]);
const uVMatrix = new Matrix4().lookAt({eye: eyePos, center: [0, 0, 0], up: [0, 1, 0]});
const {
useLighting,
useSpecular,
useTextures,
texture,
shininess,
ambientColor,
pointLightPosition,
pointLightSpecularColor,
pointLightDiffuseColor
} = getHTMLControls();
teapot.setUniforms({
uUseLighting: useLighting,
uUseTextures: useTextures,
uShowSpecularHighlights: useSpecular,
uMaterialShininess: shininess
});
if (useLighting) {
teapot.setUniforms({
uAmbientColor: ambientColor,
uPointLightingLocation: pointLightPosition,
uPointLightingSpecularColor: pointLightSpecularColor,
uPointLightingDiffuseColor: pointLightDiffuseColor
});
}
if (useTextures) {
const selectedTexture = texture;
teapot.setUniforms({
uSampler: selectedTexture === 'earth' ? earthTexture : galvanizedTexture
});
}
const phi = tick * 0.01;
return teapot
.setUniforms({
uMMatrix: new Matrix4().translate([0, -35, -68]).rotateY(phi),
uVMatrix,
uPMatrix: new Matrix4().perspective({
fov: (45 * Math.PI) / 180,
aspect,
near: 0.1,
far: 100
})
})
.draw();
}
}
/* global window */
if (typeof window !== 'undefined' && !window.website) {
const animationLoop = new AppAnimationLoop();
animationLoop.start();
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/08/package.json
|
{
"version": "0.0.1",
"private": true,
"name": "@rapidsai/demo-luma.gl-lessons-08",
"scripts": {
"start": "webpack-dev-server --progress --hot --open -d",
"start-local": "webpack-dev-server --env.local --progress --hot --open -d"
},
"dependencies": {
"@loaders.gl/images": "3.2.9",
"@luma.gl/constants": "8.5.16",
"@luma.gl/core": "8.5.16",
"@luma.gl/experimental": "8.5.16",
"@luma.gl/shadertools": "8.5.16",
"math.gl": "3.6.3"
}
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/08/app.js
|
/* eslint-disable max-statements, array-bracket-spacing, no-multi-spaces */
import GL from '@luma.gl/constants';
import {Matrix4} from 'math.gl';
import { Texture2D } from '@luma.gl/webgl';
import { AnimationLoop, setParameters, CubeGeometry } from '@luma.gl/core';
import { ModelNode } from '@luma.gl/experimental';
const INFO_HTML = `
<div>
<p>
<a href="http://learningwebgl.com/blog/?p=859" target="_blank">
Depth buffer, transparency and blending
</a>
</p>
Use arrow keys to spin the box and <code>+</code>/<code>-</code> to zoom in/out.
<br/>
<div>
<div>
<input type="checkbox" id="blending" checked/> <b>Blending</b>
<br/>
Alpha level
<input id="directionalR" type="range" value="0.5" min="0.0" max="1.0" step="0.01"/>
<br/>
</div>
<br/>
<div>
<input type="checkbox" id="lighting" checked/> <b>Directional Lighting</b>
<br/>
<div class="control-block">
<div class="control-row">
Direction:
<div>X:
<input id="lightDirectionX" type="range" value="0" min="-5" max="5" step="0.1"/>
</div>
<div>Y:
<input id="lightDirectionY" type="range" value="0" min="-5" max="5" step="0.1"/>
</div>
<div>Z:
<input id="lightDirectionZ" type="range" value="2" min="0" max="5" step="0.1"/>
</div>
</div>
<div class="control-row">
Colour:
<div>R:
<input id="directionalR" type="range" value="0.2" min="0.0" max="1.0" step="0.01"/>
</div>
<div>G:
<input id="directionalG" type="range" value="0.2" min="0.0" max="1.0" step="0.01"/>
</div>
<div>B:
<input id="directionalB" type="range" value="0.2" min="0.0" max="1.0" step="0.01"/>
</div>
</div>
</div>
</div>
</div>
<br/>
<div>
<div><b>Ambient Lighting</b></div>
<div class="control-block">
<div class="control-row">
Colour:
<div>R:
<input id="ambientR" type="range" value="0.2" min="0.0" max="1.0" step="0.01"/>
</div>
<div>G:
<input id="ambientG" type="range" value="0.2" min="0.0" max="1.0" step="0.01"/>
</div>
<div>B:
<input id="ambientB" type="range" value="0.2" min="0.0" max="1.0" step="0.01"/>
</div>
</div>
</div>
</div>
<br/>
The classic WebGL Lessons in luma.gl
</div>
`;
// Read Lighting form elements variables
function getHTMLControls() {
/* global document */
const $id = id => document.getElementById(id);
const $value = (id, defaultValue = 1) => ($id(id) ? Number($id(id).value) : defaultValue);
const $checked = id => ($id(id) ? $id(id).checked : true);
const blendingEnabled = $checked('blending');
const alpha = $value('alpha', 0.5);
// Get lighting form elements
const lightingEnabled = $checked('lighting');
const lightDirection = [
$value('lightDirectionX', 0),
$value('lightDirectionY', 0),
$value('lightDirectionZ', 1)
];
const lightColor = [$value('directionalR'), $value('directionalG'), $value('directionalB')];
const ambientColor = [$value('ambientR'), $value('ambientG'), $value('ambientB')];
return {
blendingEnabled,
alpha,
lightingEnabled,
lightDirection,
lightColor,
ambientColor
};
}
// Vertex shader with lighting
const VERTEX_SHADER = `\
attribute vec3 positions;
attribute vec2 texCoords;
attribute vec3 normals;
uniform mat4 uMVMatrix;
uniform mat4 uPMatrix;
uniform vec3 uAmbientColor;
uniform vec3 uLightingDirection;
uniform vec3 uDirectionalColor;
uniform bool uUseLighting;
varying vec2 vTextureCoord;
varying vec3 vLightWeighting;
void main(void) {
gl_Position = uPMatrix * uMVMatrix * vec4(positions, 1.0);
vTextureCoord = texCoords;
if (!uUseLighting) {
vLightWeighting = vec3(1.0, 1.0, 1.0);
} else {
// Perform lighting in world space
// we should use 'transpose(inverse(mat3(uMVMatrix)))', but
// 'inverse' matrix operation not supported in GLSL 1.0, for now use
// upper-left 3X3 matrix of model view matrix, it works since we are not
// doing any non-uniform scaling transormations in this example.
mat3 normalMatrix = mat3(uMVMatrix);
vec3 transformedNormal = normalMatrix * normals;
float directionalLightWeighting = max(dot(transformedNormal, uLightingDirection), 0.0);
vLightWeighting = uAmbientColor + uDirectionalColor * directionalLightWeighting;
}
}
`;
// Fragment shader
const FRAGMENT_SHADER = `\
precision highp float;
varying vec2 vTextureCoord;
varying vec3 vLightWeighting;
uniform sampler2D uSampler;
uniform float uAlpha;
void main(void) {
vec4 textureColor = texture2D(uSampler, vec2(vTextureCoord.s, vTextureCoord.t));
gl_FragColor = vec4(textureColor.rgb * vLightWeighting, textureColor.a * uAlpha);
}
`;
let xRot = 0;
let xSpeed = 0.01;
let yRot = 0;
let ySpeed = 0.0;
let cubePositionZ = -5.0;
export default class AppAnimationLoop extends AnimationLoop {
static getInfo() {
return INFO_HTML;
}
onInitialize({canvas, gl}) {
document.addEventListener('keydown', keyboardEventHandler);
setParameters(gl, {
clearColor: [0, 0, 0, 1],
clearDepth: 1,
blendFunc: [gl.SRC_ALPHA, gl.ONE],
blend: true
});
const texture = new Texture2D(gl, {
data: 'glass.gif',
mipmap: true,
parameters: {
[gl.TEXTURE_MIN_FILTER]: gl.LINEAR_MIPMAP_NEAREST,
[gl.TEXTURE_MAG_FILTER]: gl.LINEAR
}
});
return {
cube: new ModelNode(gl, {
geometry: new CubeGeometry(),
vs: VERTEX_SHADER,
fs: FRAGMENT_SHADER,
uniforms: {uSampler: texture}
})
};
}
onRender({gl, tick, aspect, cube}) {
xRot += xSpeed;
yRot += ySpeed;
gl.clear(GL.COLOR_BUFFER_BIT | GL.DEPTH_BUFFER_BIT);
// update element matrix to rotate cube on its center
cube.setRotation([xRot, yRot, 0]).updateMatrix();
const uMVMatrix = new Matrix4()
.lookAt({eye: [0, 0, 0]})
.translate([0, 0, cubePositionZ])
.rotateXYZ([tick * 0.01, tick * 0.01, tick * 0.01])
.multiplyRight(cube.matrix);
const {
blendingEnabled,
alpha,
lightingEnabled,
lightDirection,
lightColor,
ambientColor
} = getHTMLControls();
if (blendingEnabled) {
gl.disable(gl.DEPTH_TEST);
gl.enable(gl.BLEND);
gl.blendFunc(gl.SRC_ALPHA, gl.ONE);
cube.setUniforms({
alpha
});
} else {
gl.enable(gl.DEPTH_TEST);
gl.disable(gl.BLEND);
}
// Update scene config with light info
cube
.setUniforms({
uMVMatrix,
uPMatrix: new Matrix4().perspective({aspect}),
uAmbientColor: ambientColor,
uUseLighting: lightingEnabled,
uLightingDirection: lightDirection,
uDirectionalColor: lightColor,
uAlpha: Number(0.5)
})
.draw();
}
onFinalize() {
document.removeEventListener('keydown', keyboardEventHandler);
}
}
function keyboardEventHandler(e) {
switch (e.code) {
case 'ArrowUp':
xSpeed -= 0.02;
break;
case 'ArrowDown':
xSpeed += 0.02;
break;
case 'ArrowLeft':
ySpeed -= 0.02;
break;
case 'ArrowRight':
ySpeed += 0.02;
break;
case 'Equal': // '+'
cubePositionZ += 0.05;
break;
case 'Minus': // '-'
cubePositionZ -= 0.05;
break;
default:
}
}
/* global window */
if (typeof window !== 'undefined' && !window.website) {
const animationLoop = new AppAnimationLoop();
animationLoop.start();
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/12/package.json
|
{
"version": "0.0.1",
"private": true,
"name": "@rapidsai/demo-luma.gl-lessons-12",
"description": "The classic WebGL Lesson 12 ported to luma.gl.",
"contributors": [
"Jian Huang <[email protected]>"
],
"scripts": {
"start": "webpack-dev-server --progress --hot --open -d",
"start-local": "webpack-dev-server --env.local --progress --hot --open -d"
},
"dependencies": {
"@luma.gl/constants": "8.5.16",
"@luma.gl/core": "8.5.16",
"math.gl": "3.6.3"
}
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/12/app.js
|
import GL from '@luma.gl/constants';
import {
AnimationLoop,
Texture2D,
setParameters,
Model,
SphereGeometry,
CubeGeometry
} from '@luma.gl/core';
import {Vector3, Matrix4, radians} from 'math.gl';
/* eslint-disable complexity */
const VERTEX_SHADER = `\
attribute vec3 positions;
attribute vec3 normals;
attribute vec2 texCoords;
uniform mat4 uMMatrix;
uniform mat4 uVMatrix;
uniform mat4 uPMatrix;
uniform vec3 uAmbientColor;
uniform vec3 uPointLightingLocation;
uniform vec3 uPointLightingColor;
uniform bool uUseLighting;
varying vec2 vTextureCoord;
varying vec3 vLightWeighting;
void main(void) {
vec4 mPosition = uMMatrix * vec4(positions, 1.0);
gl_Position = uPMatrix * uVMatrix * mPosition;
vTextureCoord = texCoords;
if (!uUseLighting) {
vLightWeighting = vec3(1.0, 1.0, 1.0);
} else {
vec3 lightDirection = normalize(uPointLightingLocation - mPosition.xyz);
vec4 transformedNormal = uMMatrix * vec4(normals, 0.0);
float pointLightWeighting = max(dot(transformedNormal.xyz, lightDirection), 0.0);
vLightWeighting = uAmbientColor + uPointLightingColor * pointLightWeighting;
}
}
`;
const FRAGMENT_SHADER = `\
precision highp float;
varying vec2 vTextureCoord;
varying vec3 vLightWeighting;
uniform sampler2D uSampler;
void main(void) {
vec4 textureColor = texture2D(uSampler, vec2(1.0 - vTextureCoord.s, 1.0 - vTextureCoord.t));
gl_FragColor = vec4(textureColor.rgb * vLightWeighting, textureColor.a);
}
`;
const INFO_HTML = `
<p>
<a href="http://learningwebgl.com/blog/?p=1359" target="_blank">
Point lighting
</a>
<p>
The classic WebGL Lessons in luma.gl
`;
const appState = {
moonRotationMatrix: new Matrix4().rotateY(radians(180)).translate([5, 0, 0]),
cubeRotationMatrix: new Matrix4().translate([5, 0, 0]),
lastTime: 0
};
function animateAppState() {
const timeNow = Date.now();
if (appState.lastTime !== 0) {
const elapsed = timeNow - appState.lastTime;
const newMatrix = new Matrix4().rotateY(radians(elapsed / 20));
appState.moonRotationMatrix.multiplyLeft(newMatrix);
appState.cubeRotationMatrix.multiplyLeft(newMatrix);
}
appState.lastTime = timeNow;
}
export default class AppAnimationLoop extends AnimationLoop {
static getInfo() {
return INFO_HTML;
}
onInitialize({canvas, gl}) {
setParameters(gl, {
clearColor: [0, 0, 0, 1],
clearDepth: 1,
depthTest: true
});
return {
moon: new Model(gl, {
geometry: new SphereGeometry({
nlat: 30,
nlong: 30,
radius: 2
}),
fs: FRAGMENT_SHADER,
vs: VERTEX_SHADER,
uniforms: {
uSampler: new Texture2D(gl, 'moon.gif')
}
}),
cube: new Model(gl, {
geometry: new CubeGeometry(),
vs: VERTEX_SHADER,
fs: FRAGMENT_SHADER,
uniforms: {
uSampler: new Texture2D(gl, 'crate.gif')
}
})
};
}
onRender({gl, tick, aspect, moon, cube}) {
// eslint-disable-line complexity
// set camera position
const eyePos = [0, 0, 20];
gl.clear(GL.COLOR_BUFFER_BIT | GL.DEPTH_BUFFER_BIT);
const uVMatrix = new Matrix4().lookAt({eye: eyePos, center: [0, 0, 0], up: [0, 1, 0]});
/* global document */
function getElementValue(id, defaultValue) {
const element = document.getElementById(id);
return element ? element.value : defaultValue;
}
const element = document.getElementById('lighting');
const lighting = element ? element.checked : true;
moon.setUniforms({uUseLighting: lighting});
cube.setUniforms({uUseLighting: lighting});
if (lighting) {
const ambientColor = new Vector3(
parseFloat(getElementValue('ambientR', 0.2)),
parseFloat(getElementValue('ambientG', 0.2)),
parseFloat(getElementValue('ambientB', 0.2))
);
const pointLightingLocation = new Vector3(
parseFloat(getElementValue('lightPositionX', 0)),
parseFloat(getElementValue('lightPositionY', 0)),
parseFloat(getElementValue('lightPositionZ', 0))
);
const pointLightColor = new Vector3(
parseFloat(getElementValue('pointR', 0.8)),
parseFloat(getElementValue('pointG', 0.8)),
parseFloat(getElementValue('pointB', 0.8))
);
moon.setUniforms({
uAmbientColor: ambientColor,
uPointLightingLocation: pointLightingLocation,
uPointLightingColor: pointLightColor
});
cube.setUniforms({
uAmbientColor: ambientColor,
uPointLightingLocation: pointLightingLocation,
uPointLightingColor: pointLightColor
});
}
moon
.setUniforms({
uMMatrix: appState.moonRotationMatrix,
uVMatrix,
uPMatrix: new Matrix4().perspective({
fov: (45 * Math.PI) / 180,
aspect,
near: 0.1,
far: 100
})
})
.draw();
cube
.setUniforms({
uMMatrix: appState.cubeRotationMatrix,
uVMatrix,
uPMatrix: new Matrix4().perspective({
fov: (45 * Math.PI) / 180,
aspect,
near: 0.1,
far: 100
})
})
.draw();
animateAppState();
}
}
/* global window */
if (typeof window !== 'undefined' && !window.website) {
const animationLoop = new AppAnimationLoop();
animationLoop.start();
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/10/package.json
|
{
"version": "0.0.1",
"private": true,
"name": "@rapidsai/demo-luma.gl-lessons-10",
"description": "The classic WebGL Lesson 10 ported to luma.gl.",
"contributors": [
"Jian Huang <[email protected]>"
],
"scripts": {
"start": "webpack-dev-server --progress --hot --open -d",
"start-local": "webpack-dev-server --env.local --progress --hot --open -d"
},
"dependencies": {
"@loaders.gl/images": "3.2.9",
"@luma.gl/constants": "8.5.16",
"@luma.gl/core": "8.5.16",
"@luma.gl/experimental": "8.5.16",
"@luma.gl/shadertools": "8.5.16",
"math.gl": "3.6.3",
"mjolnir.js": "2.5.2"
}
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/10/world.js
|
import {Program, Geometry} from '@luma.gl/core';
import { ModelNode } from '@luma.gl/experimental';
const VERTEX_SHADER = `\
attribute vec3 positions;
attribute vec2 texCoords;
uniform mat4 uMVMatrix;
uniform mat4 uPMatrix;
varying vec2 vTextureCoord;
void main(void) {
gl_Position = uPMatrix * uMVMatrix * vec4(positions, 1.0);
vTextureCoord = texCoords;
}
`;
const FRAGMENT_SHADER = `\
precision highp float;
varying vec2 vTextureCoord;
uniform sampler2D uSampler;
void main(void) {
gl_FragColor = vec4(texture2D(uSampler, vec2(vTextureCoord.s, vTextureCoord.t)).rgb, 1.0);
}
`;
function loadWorldGeometry(data) {
const lines = data.split('\n');
const vertexPositions = [];
const vertexTextureCoords = [];
for (const i in lines) {
const vals = lines[i].replace(/^\s+/, '').split(/\s+/);
if (vals.length === 5 && vals[0] !== '//') {
// It is a line describing a vertex; get X, Y and Z first
vertexPositions.push(parseFloat(vals[0]));
vertexPositions.push(parseFloat(vals[1]));
vertexPositions.push(parseFloat(vals[2]));
// And then the texture coords
vertexTextureCoords.push(parseFloat(vals[3]));
vertexTextureCoords.push(parseFloat(vals[4]));
}
}
return new Geometry({
vertexCount: vertexPositions.length / 3,
attributes: {
positions: new Float32Array(vertexPositions),
texCoords: new Float32Array(vertexTextureCoords)
}
});
}
export class World extends ModelNode {
constructor(opts = {}) {
const program = new Program(opts.gl, {
fs: FRAGMENT_SHADER,
vs: VERTEX_SHADER
});
super(opts.gl, {
program,
geometry: opts.geometry,
uniforms: {
uSampler: opts.texture
}
});
}
}
export {loadWorldGeometry};
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/10/world.txt
|
NUMPOLLIES 36
// Floor 1
-3.0 0.0 -3.0 0.0 6.0
-3.0 0.0 3.0 0.0 0.0
3.0 0.0 3.0 6.0 0.0
-3.0 0.0 -3.0 0.0 6.0
3.0 0.0 -3.0 6.0 6.0
3.0 0.0 3.0 6.0 0.0
// Ceiling 1
-3.0 1.0 -3.0 0.0 6.0
-3.0 1.0 3.0 0.0 0.0
3.0 1.0 3.0 6.0 0.0
-3.0 1.0 -3.0 0.0 6.0
3.0 1.0 -3.0 6.0 6.0
3.0 1.0 3.0 6.0 0.0
// A1
-2.0 1.0 -2.0 0.0 1.0
-2.0 0.0 -2.0 0.0 0.0
-0.5 0.0 -2.0 1.5 0.0
-2.0 1.0 -2.0 0.0 1.0
-0.5 1.0 -2.0 1.5 1.0
-0.5 0.0 -2.0 1.5 0.0
// A2
2.0 1.0 -2.0 2.0 1.0
2.0 0.0 -2.0 2.0 0.0
0.5 0.0 -2.0 0.5 0.0
2.0 1.0 -2.0 2.0 1.0
0.5 1.0 -2.0 0.5 1.0
0.5 0.0 -2.0 0.5 0.0
// B1
-2.0 1.0 2.0 2.0 1.0
-2.0 0.0 2.0 2.0 0.0
-0.5 0.0 2.0 0.5 0.0
-2.0 1.0 2.0 2.0 1.0
-0.5 1.0 2.0 0.5 1.0
-0.5 0.0 2.0 0.5 0.0
// B2
2.0 1.0 2.0 2.0 1.0
2.0 0.0 2.0 2.0 0.0
0.5 0.0 2.0 0.5 0.0
2.0 1.0 2.0 2.0 1.0
0.5 1.0 2.0 0.5 1.0
0.5 0.0 2.0 0.5 0.0
// C1
-2.0 1.0 -2.0 0.0 1.0
-2.0 0.0 -2.0 0.0 0.0
-2.0 0.0 -0.5 1.5 0.0
-2.0 1.0 -2.0 0.0 1.0
-2.0 1.0 -0.5 1.5 1.0
-2.0 0.0 -0.5 1.5 0.0
// C2
-2.0 1.0 2.0 2.0 1.0
-2.0 0.0 2.0 2.0 0.0
-2.0 0.0 0.5 0.5 0.0
-2.0 1.0 2.0 2.0 1.0
-2.0 1.0 0.5 0.5 1.0
-2.0 0.0 0.5 0.5 0.0
// D1
2.0 1.0 -2.0 0.0 1.0
2.0 0.0 -2.0 0.0 0.0
2.0 0.0 -0.5 1.5 0.0
2.0 1.0 -2.0 0.0 1.0
2.0 1.0 -0.5 1.5 1.0
2.0 0.0 -0.5 1.5 0.0
// D2
2.0 1.0 2.0 2.0 1.0
2.0 0.0 2.0 2.0 0.0
2.0 0.0 0.5 0.5 0.0
2.0 1.0 2.0 2.0 1.0
2.0 1.0 0.5 0.5 1.0
2.0 0.0 0.5 0.5 0.0
// Upper hallway - L
-0.5 1.0 -3.0 0.0 1.0
-0.5 0.0 -3.0 0.0 0.0
-0.5 0.0 -2.0 1.0 0.0
-0.5 1.0 -3.0 0.0 1.0
-0.5 1.0 -2.0 1.0 1.0
-0.5 0.0 -2.0 1.0 0.0
// Upper hallway - R
0.5 1.0 -3.0 0.0 1.0
0.5 0.0 -3.0 0.0 0.0
0.5 0.0 -2.0 1.0 0.0
0.5 1.0 -3.0 0.0 1.0
0.5 1.0 -2.0 1.0 1.0
0.5 0.0 -2.0 1.0 0.0
// Lower hallway - L
-0.5 1.0 3.0 0.0 1.0
-0.5 0.0 3.0 0.0 0.0
-0.5 0.0 2.0 1.0 0.0
-0.5 1.0 3.0 0.0 1.0
-0.5 1.0 2.0 1.0 1.0
-0.5 0.0 2.0 1.0 0.0
// Lower hallway - R
0.5 1.0 3.0 0.0 1.0
0.5 0.0 3.0 0.0 0.0
0.5 0.0 2.0 1.0 0.0
0.5 1.0 3.0 0.0 1.0
0.5 1.0 2.0 1.0 1.0
0.5 0.0 2.0 1.0 0.0
// Left hallway - Lw
-3.0 1.0 0.5 1.0 1.0
-3.0 0.0 0.5 1.0 0.0
-2.0 0.0 0.5 0.0 0.0
-3.0 1.0 0.5 1.0 1.0
-2.0 1.0 0.5 0.0 1.0
-2.0 0.0 0.5 0.0 0.0
// Left hallway - Hi
-3.0 1.0 -0.5 1.0 1.0
-3.0 0.0 -0.5 1.0 0.0
-2.0 0.0 -0.5 0.0 0.0
-3.0 1.0 -0.5 1.0 1.0
-2.0 1.0 -0.5 0.0 1.0
-2.0 0.0 -0.5 0.0 0.0
// Right hallway - Lw
3.0 1.0 0.5 1.0 1.0
3.0 0.0 0.5 1.0 0.0
2.0 0.0 0.5 0.0 0.0
3.0 1.0 0.5 1.0 1.0
2.0 1.0 0.5 0.0 1.0
2.0 0.0 0.5 0.0 0.0
// Right hallway - Hi
3.0 1.0 -0.5 1.0 1.0
3.0 0.0 -0.5 1.0 0.0
2.0 0.0 -0.5 0.0 0.0
3.0 1.0 -0.5 1.0 1.0
2.0 1.0 -0.5 0.0 1.0
2.0 0.0 -0.5 0.0 0.0
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/10/app.js
|
import GL from '@luma.gl/constants';
import {AnimationLoop, Texture2D, loadFile, setParameters} from '@luma.gl/core';
import {Matrix4, radians} from 'math.gl';
import {loadWorldGeometry, World} from './world';
import {EventManager} from 'mjolnir.js';
/* eslint-disable complexity */
/*
Cave texture from: http://texturelib.com/texture/?path=/Textures/rock/cave/rock_cave_0019
"Free for personal and commercial use." http://texturelib.com/about/
*/
const INFO_HTML = `
<p>
<a href="http://learningwebgl.com/blog/?p=1067" target="_blank">
Loading a world, and the most basic kind of camera
</a>
</br>
</br>
Use the cursor keys or WASD to run around, and <code>+</code>/<code>-</code> to look up and down.
<p>
The classic WebGL Lessons in luma.gl
`;
const cameraInfo = {
pitch: 0,
pitchRate: 0,
yaw: 0,
yawRate: 0,
xPos: 0,
yPos: 0.4,
zPos: 0,
speed: 0,
joggingAngle: 0, // Used to make us "jog" up and down as we move forward.
direction: [0, 0, -1]
};
const timeLine = {
lastTime: 0
};
const currentlyPressedKeys = {};
export default class AppAnimationLoop extends AnimationLoop {
static getInfo() {
return INFO_HTML;
}
onInitialize({canvas, gl}) {
// Use mjolnir.js (hammer.js)'s EventManager to handle gestures on both
// desktop and mobile
this.eventManager = new EventManager(canvas);
addKeyboardHandler(this.eventManager);
addMouseHandler(this.eventManager);
setParameters(gl, {
clearColor: [0, 0, 0, 1],
clearDepth: 1,
depthTest: true
});
const texture = new Texture2D(gl, {
data: 'cave.jpg',
parameters: {
[gl.TEXTURE_WRAP_S]: gl.MIRRORED_REPEAT,
[gl.TEXTURE_WRAP_T]: gl.MIRRORED_REPEAT
}
});
return loadFile('world.txt').then(file => {
const geometry = loadWorldGeometry(file);
const world = new World({
gl,
geometry,
texture
});
return {world};
});
}
onRender({gl, tick, aspect, world}) {
// Update Camera Position
const eyePos = [cameraInfo.xPos, cameraInfo.yPos, cameraInfo.zPos];
const centerPos = new Matrix4()
.rotateX(radians(cameraInfo.pitch))
.rotateY(radians(cameraInfo.yaw))
// .transformVector3(cameraInfo.direction)
.transform(cameraInfo.direction)
.add(eyePos);
const uMVMatrix = new Matrix4().lookAt({eye: eyePos, center: centerPos, up: [0, 1, 0]});
handleKeys(cameraInfo, currentlyPressedKeys);
animate(cameraInfo, timeLine);
gl.clear(GL.COLOR_BUFFER_BIT | GL.DEPTH_BUFFER_BIT);
return world
.setUniforms({
uMVMatrix,
uPMatrix: new Matrix4().perspective({
fov: (45 * Math.PI) / 180,
aspect,
near: 0.1,
far: 100
})
})
.draw();
}
onFinalize() {
this.eventManager.destroy();
}
}
function addKeyboardHandler(eventManager) {
eventManager.on({
keydown(e) {
currentlyPressedKeys[e.srcEvent.code] = true;
},
keyup(e) {
currentlyPressedKeys[e.srcEvent.code] = false;
}
});
}
function addMouseHandler(eventManager) {
let mouseDown = false;
let currentX = 0;
let currentY = 0;
eventManager.on({
panstart(e) {
mouseDown = true;
currentX = e.offsetCenter.x;
currentY = e.offsetCenter.y;
},
panend() {
mouseDown = false;
},
panmove(e) {
if (!mouseDown) {
return;
}
const dx = e.offsetCenter.x - currentX;
const dy = e.offsetCenter.y - currentY;
cameraInfo.yaw += dx * 0.1;
cameraInfo.pitch += dy * 0.1;
currentX = e.offsetCenter.x;
currentY = e.offsetCenter.y;
}
});
}
function handleKeys() {
if (currentlyPressedKeys.PageUp || currentlyPressedKeys.Equal) {
cameraInfo.pitchRate = 0.1;
} else if (currentlyPressedKeys.PageDown || currentlyPressedKeys.Minus) {
cameraInfo.pitchRate = -0.1;
} else {
cameraInfo.pitchRate = 0;
}
if (currentlyPressedKeys.ArrowLeft || currentlyPressedKeys.KeyA) {
cameraInfo.yawRate = 0.1;
} else if (currentlyPressedKeys.ArrowRight || currentlyPressedKeys.KeyD) {
cameraInfo.yawRate = -0.1;
} else {
cameraInfo.yawRate = 0;
}
if (currentlyPressedKeys.ArrowUp || currentlyPressedKeys.KeyW) {
cameraInfo.speed = 0.003;
} else if (currentlyPressedKeys.ArrowDown || currentlyPressedKeys.KeyS) {
cameraInfo.speed = -0.003;
} else {
cameraInfo.speed = 0;
}
}
function animate() {
const timeNow = new Date().getTime();
if (timeLine.lastTime !== 0) {
const elapsed = timeNow - timeLine.lastTime;
if (cameraInfo.speed !== 0) {
cameraInfo.xPos -= Math.sin(radians(cameraInfo.yaw)) * cameraInfo.speed * elapsed;
cameraInfo.zPos -= Math.cos(radians(cameraInfo.yaw)) * cameraInfo.speed * elapsed;
cameraInfo.joggingAngle += elapsed * 0.6; // 0.6 "fiddle factor" - feel more realistic :-)
cameraInfo.yPos = Math.sin(radians(cameraInfo.joggingAngle)) / 20 + 0.4;
}
cameraInfo.yaw += cameraInfo.yawRate * elapsed;
cameraInfo.pitch += cameraInfo.pitchRate * elapsed;
}
timeLine.lastTime = timeNow;
}
/* global window */
if (typeof window !== 'undefined' && !window.website) {
const animationLoop = new AppAnimationLoop();
animationLoop.start();
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/15/package.json
|
{
"version": "0.0.1",
"private": true,
"name": "@rapidsai/demo-luma.gl-lessons-15",
"description": "The classic WebGL Lesson 15 ported to luma.gl.",
"contributors": [
"Xintong Xia <[email protected]>"
],
"scripts": {
"start": "webpack-dev-server --progress --hot --open -d",
"start-local": "webpack-dev-server --env.local --progress --hot --open -d"
},
"dependencies": {
"@luma.gl/constants": "8.5.16",
"@luma.gl/core": "8.5.16",
"math.gl": "3.6.3"
}
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/15/app.js
|
import GL from '@luma.gl/constants';
import {AnimationLoop, Texture2D, setParameters, Model, SphereGeometry} from '@luma.gl/core';
import {Matrix4} from 'math.gl';
const EARTH_UNIFORMS = {
uUseColorMap: true,
uUseSpecularMap: true,
uShowSpecularHighlights: true,
uUseLighting: true
};
const LIGHT_UNIFORMS = {
uAmbientColor: [0.4, 0.4, 0.4],
uPointLightingLocation: [-10.0, 4.0, -20.0],
uPointLightingSpecularColor: [5.0, 5.0, 5.0],
uPointLightingDiffuseColor: [0.8, 0.8, 0.8]
};
const FRAGMENT_LIGHTING_VERTEX_SHADER = `\
precision highp float;
attribute vec3 positions;
attribute vec3 normals;
attribute vec2 texCoords;
uniform mat4 uMMatrix;
uniform mat4 uVMatrix;
uniform mat4 uPMatrix;
varying vec2 vTextureCoord;
varying vec4 vTransformedNormal;
varying vec4 vPosition;
void main(void) {
vPosition = uMMatrix * vec4(positions, 1.0);
gl_Position = uPMatrix * uVMatrix * vPosition;
vTextureCoord = texCoords;
vTransformedNormal = uMMatrix * vec4(normals, 0.0);
}
`;
const FRAGMENT_LIGHTING_FRAGMENT_SHADER = `\
precision highp float;
varying vec2 vTextureCoord;
varying vec4 vTransformedNormal;
varying vec4 vPosition;
uniform bool uUseColorMap;
uniform bool uUseSpecularMap;
uniform bool uUseLighting;
uniform vec3 uAmbientColor;
uniform vec3 uPointLightingLocation;
uniform vec3 uPointLightingSpecularColor;
uniform vec3 uPointLightingDiffuseColor;
uniform sampler2D uSpecularMapSampler;
uniform sampler2D uColorMapSampler;
void main(void) {
vec3 lightWeighting;
if (!uUseLighting) {
lightWeighting = vec3(1.0, 1.0, 1.0);
} else {
vec3 lightDirection = normalize(uPointLightingLocation - vPosition.xyz);
vec3 normal = normalize(vTransformedNormal.xyz);
float specularLightWeighting = 0.0;
float shininess = 32.0;
if (uUseSpecularMap) {
shininess = texture2D(uSpecularMapSampler, vTextureCoord).r * 255.0;
}
if (shininess < 255.0) {
vec3 eyeDirection = normalize(-vPosition.xyz);
vec3 reflectionDirection = reflect(-lightDirection, normal);
specularLightWeighting = pow(max(dot(reflectionDirection, eyeDirection), 0.0), shininess);
}
float diffuseLightWeighting = max(dot(normal, lightDirection), 0.0);
lightWeighting = uAmbientColor
+ uPointLightingSpecularColor * specularLightWeighting
+ uPointLightingDiffuseColor * diffuseLightWeighting;
}
vec4 fragmentColor;
fragmentColor = uUseColorMap ?
texture2D(uColorMapSampler, vTextureCoord) : vec4(1.0, 1.0, 1.0, 1.0);
gl_FragColor = vec4(fragmentColor.rgb * lightWeighting, fragmentColor.a);
}
`;
const INFO_HTML = `
<p>
<a href="http://learningwebgl.com/blog/?p=1778" target="_blank">
Specular maps
</a>
<div id="controls-elements">
<input type="checkbox" id="color-map" checked/> Use color map<br/>
<input type="checkbox" id="specular-map" checked/> Use specular map<br/>
<input type="checkbox" id="lighting" checked/> Use lighting<br/>
<br/>
<h2>Point light:</h2>
<div class="control-block">
<div class="control-row">
<div><b>Location:</b></div>
<div>X: <input type="text" id="lightPositionX" value="-10.0"/></div>
<div>Y: <input type="text" id="lightPositionY" value="4.0"/></div>
<div>Z: <input type="text" id="lightPositionZ" value="-20.0"/></div>
</div>
<div class="control-row">
<div><b>Specular colour:</b></div>
<div>R:
<input id="specularR" type="range" value="0.8" min="0.0" max="1.0" step="0.01"/>
</div>
<div>G:
<input id="specularG" type="range" value="0.8" min="0.0" max="1.0" step="0.01"/>
</div>
<div>B:
<input id="specularB" type="range" value="0.8" min="0.0" max="1.0" step="0.01"/>
</div>
</div>
<div class="control-row">
<div><b>Diffuse colour:</b></div>
<div>R:
<input id="diffuseR" type="range" value="0.8" min="0.0" max="1.0" step="0.01"/>
</div>
<div>G:
<input id="diffuseG" type="range" value="0.8" min="0.0" max="1.0" step="0.01"/>
</div>
<div>B:
<input id="diffuseB" type="range" value="0.8" min="0.0" max="1.0" step="0.01"/>
</div>
</div>
</div>
<h2>Ambient light:</h2>
<div class="control-block">
<div class="control-row">
<div><b>Colour:</b></div>
<div>R:
<input id="ambientR" type="range" value="0.2" min="0.0" max="1.0" step="0.01"/>
</div>
<div>G:
<input id="ambientG" type="range" value="0.2" min="0.0" max="1.0" step="0.01"/>
</div>
<div>B:
<input id="ambientB" type="range" value="0.2" min="0.0" max="1.0" step="0.01"/>
</div>
</div>
</div>
<br/>
Earth texture courtesy of
<a href="http://www.esa.int/esaEO/SEMGSY2IU7E_index_0.html">
the European Space Agency/Envisat
</a>.<br/>
<br/>
</div>
<p>
The classic WebGL Lessons in luma.gl
`;
export default class AppAnimationLoop extends AnimationLoop {
static getInfo() {
return INFO_HTML;
}
onInitialize({canvas, gl}) {
setParameters(gl, {
clearColor: [0, 0, 0, 1],
clearDepth: 1,
depthTest: true
});
const specularTexture = new Texture2D(gl, {
data: 'earth-specular.gif',
parameters: {
[gl.TEXTURE_MAG_FILTER]: gl.LINEAR,
[gl.TEXTURE_MIN_FILTER]: gl.LINEAR_MIPMAP_NEAREST,
[gl.TEXTURE_WRAP_S]: gl.REPEAT,
[gl.TEXTURE_WRAP_T]: gl.REPEAT
},
mipmap: true
});
const colorTexture = new Texture2D(gl, {
data: 'earth.jpg',
parameters: {
[gl.TEXTURE_MAG_FILTER]: gl.LINEAR,
[gl.TEXTURE_MIN_FILTER]: gl.LINEAR_MIPMAP_NEAREST,
[gl.TEXTURE_WRAP_S]: gl.REPEAT,
[gl.TEXTURE_WRAP_T]: gl.REPEAT
},
mipmap: true
});
const earth = new Model(gl, {
geometry: new SphereGeometry({
nlat: 30,
nlong: 30,
radius: 13
}),
fs: FRAGMENT_LIGHTING_FRAGMENT_SHADER,
vs: FRAGMENT_LIGHTING_VERTEX_SHADER,
uniforms: Object.assign(
{
uColorMapSampler: colorTexture,
uSpecularMapSampler: specularTexture
},
EARTH_UNIFORMS,
LIGHT_UNIFORMS
)
});
return {earth, specularTexture, colorTexture};
}
onRender({gl, tick, aspect, earth}) {
gl.clear(GL.COLOR_BUFFER_BIT | GL.DEPTH_BUFFER_BIT);
// set camera position
const uVMatrix = new Matrix4().lookAt({eye: [0, 0, 10], center: [0, 0, 0], up: [-0.5, 1, 0]});
const {
useLighting,
useSpecularMap,
useColorMap,
ambientColor,
pointLightingLocation,
pointLightSpecularColor,
pointLightingDiffuseColor
} = getControlValues();
earth.setUniforms({
uUseSpecularMap: useSpecularMap,
uUseColorMap: useColorMap,
uUseLighting: useLighting
});
if (useLighting) {
earth.setUniforms({
uAmbientColor: ambientColor,
uPointLightingLocation: pointLightingLocation,
uPointLightingSpecularColor: pointLightSpecularColor,
uPointLightingDiffuseColor: pointLightingDiffuseColor
});
}
const phi = tick * 0.01;
return earth
.setUniforms({
uMMatrix: new Matrix4().translate([0, 0, -40]).rotateY(phi),
uVMatrix,
uPMatrix: new Matrix4().perspective({
fov: (45 * Math.PI) / 180,
aspect,
near: 0.1,
far: 100
})
})
.draw();
}
}
/* global document */
const $id = id => document.getElementById(id);
const $checked = id => ($id(id) ? $id(id).checked : true);
const $value = (id, defaultValue = 1) => {
const value = $id(id) ? Number($id(id).value) : defaultValue;
return isNaN(value) ? 0 : value;
};
// Read Light settings HTML form
function getControlValues() {
const useLighting = $checked('lighting');
const useSpecularMap = $checked('specular-map');
const useColorMap = $checked('color-map');
const point = {
position: [$value('lightPositionX'), $value('lightPositionY'), $value('lightPositionZ')],
specular: [$value('specularR'), $value('specularG'), $value('specularB')],
diffuse: [$value('diffuseR'), $value('diffuseG'), $value('diffuseB')]
};
const ambientColor = [$value('ambientR'), $value('ambientG'), $value('ambientB')];
return {
useLighting,
useSpecularMap,
useColorMap,
ambientColor: useLighting && ambientColor,
pointLightingLocation: useLighting && point.position,
pointLightSpecularColor: useLighting && point.specular,
pointLightingDiffuseColor: useLighting && point.diffuse
};
}
/* global window */
if (typeof window !== 'undefined' && !window.website) {
const animationLoop = new AppAnimationLoop();
animationLoop.start();
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/02/package.json
|
{
"version": "0.0.1",
"private": true,
"name": "@rapidsai/demo-luma.gl-lessons-02",
"scripts": {
"start": "webpack-dev-server --progress --hot --open -d",
"start-local": "webpack-dev-server --env.local --progress --hot --open -d"
},
"dependencies": {
"@luma.gl/core": "8.5.16",
"math.gl": "3.6.3"
}
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/02/app.js
|
import {AnimationLoop, setParameters} from '@luma.gl/core';
import {Program, VertexArray, Buffer} from '@luma.gl/webgl';
import {Matrix4} from 'math.gl';
const INFO_HTML = `
<p>
<a href="http://learningwebgl.com/blog/?p=134" target="_blank">
Adding Color
</a>
<p>
The classic WebGL Lessons in luma.gl
`;
const VERTEX_SHADER = `\
attribute vec3 positions;
attribute vec4 colors;
uniform mat4 uMVMatrix;
uniform mat4 uPMatrix;
varying vec4 vColor;
void main(void) {
gl_Position = uPMatrix * uMVMatrix * vec4(positions, 1.0);
vColor = colors;
}
`;
const FRAGMENT_SHADER = `\
precision highp float;
varying vec4 vColor;
void main(void) {
gl_FragColor = vColor;
}
`;
export default class AppAnimationLoop extends AnimationLoop {
static getInfo() {
return INFO_HTML;
}
onInitialize({gl, aspect, canvas}) {
const TRIANGLE_VERTS = [0, 1, 0, -1, -1, 0, 1, -1, 0];
const TRIANGLE_COLORS = [1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1];
const SQUARE_VERTS = [1, 1, 0, -1, 1, 0, 1, -1, 0, -1, -1, 0];
const SQUARE_COLORS = [0.5, 0.5, 1, 1, 0.5, 0.5, 1, 1, 0.5, 0.5, 1, 1, 0.5, 0.5, 1, 1];
const program = new Program(gl, {
vs: VERTEX_SHADER,
fs: FRAGMENT_SHADER
});
const triangleVertexArray = new VertexArray(gl, {
program,
attributes: {
positions: new Buffer(gl, new Float32Array(TRIANGLE_VERTS)),
colors: new Buffer(gl, new Float32Array(TRIANGLE_COLORS))
}
});
const squareVertexArray = new VertexArray(gl, {
program,
attributes: {
positions: new Buffer(gl, new Float32Array(SQUARE_VERTS)),
colors: new Buffer(gl, new Float32Array(SQUARE_COLORS))
}
});
const view = new Matrix4().translate([-1.5, 0, -7]);
const projection = new Matrix4().perspective({aspect});
setParameters(gl, {
clearColor: [0, 0, 0, 1],
clearDepth: [1],
depthTest: true,
depthFunc: gl.LEQUAL
});
gl.clear(gl.COLOR_BUFFER_BIT | gl.DEPTH_BUFFER_BIT);
program
.setUniforms({
uMVMatrix: view,
uPMatrix: projection
})
.draw({
vertexArray: triangleVertexArray,
drawMode: gl.TRIANGLES,
vertexCount: 3
});
// Draw Square
view.translate([3, 0, 0]);
program
.setUniforms({
uMVMatrix: view,
uPMatrix: projection
})
.draw({
vertexArray: squareVertexArray,
drawMode: gl.TRIANGLE_STRIP,
vertexCount: 4
});
}
}
/* global window */
if (typeof window !== 'undefined' && !window.website) {
const animationLoop = new AppAnimationLoop();
animationLoop.start();
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/04/package.json
|
{
"version": "0.0.1",
"private": true,
"name": "@rapidsai/demo-luma.gl-lessons-04",
"scripts": {
"start": "webpack-dev-server --progress --hot --open -d",
"start-local": "webpack-dev-server --env.local --progress --hot --open -d"
},
"dependencies": {
"@luma.gl/constants": "8.5.16",
"@luma.gl/core": "8.5.16",
"math.gl": "3.6.3"
}
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/04/app.js
|
import GL from '@luma.gl/constants';
import {Matrix4} from 'math.gl';
import { setParameters } from '@luma.gl/core';
import { AnimationLoop, Model, Geometry, CubeGeometry } from '@luma.gl/engine';
const INFO_HTML = `
<p>
<a href="http://learningwebgl.com/blog/?p=370" target="_blank">
Some Real 3D Objects
</a>
<p>
The classic WebGL Lessons in luma.gl
`;
const VERTEX_SHADER = `\
attribute vec3 positions;
attribute vec4 colors;
uniform mat4 uMVMatrix;
uniform mat4 uPMatrix;
varying vec4 vColor;
void main(void) {
gl_Position = uPMatrix * uMVMatrix * vec4(positions, 1.0);
vColor = colors;
}
`;
const FRAGMENT_SHADER = `\
precision highp float;
varying vec4 vColor;
void main(void) {
gl_FragColor = vColor;
}
`;
// Makes a colored pyramid
class ColoredPyramidGeometry extends Geometry {
constructor(props) {
super({
...props,
attributes: {
/* eslint-disable indent, no-multi-spaces */
// prettier-ignore
positions: new Float32Array([
0, 1, 0,
-1, -1, 1,
1, -1, 1,
0, 1, 0,
1, -1, 1,
1, -1, -1,
0, 1, 0,
1, -1, -1,
-1, -1, -1,
0, 1, 0,
-1, -1, -1,
-1, -1, 1
]),
colors: {
size: 4,
// prettier-ignore
value: new Float32Array([
1, 0, 0, 1,
0, 1, 0, 1,
0, 0, 1, 1,
1, 0, 0, 1,
0, 0, 1, 1,
0, 1, 0, 1,
1, 0, 0, 1,
0, 1, 0, 1,
0, 0, 1, 1,
1, 0, 0, 1,
0, 0, 1, 1,
0, 1, 0, 1
])
}
}
});
}
}
// Make a colored cube
class ColoredCubeGeometry extends CubeGeometry {
constructor(props) {
super({
...props,
// Add one attribute to the geometry
attributes: {
colors: {
size: 4,
// prettier-ignore
value: new Float32Array([
1, 0, 0, 1,
1, 0, 0, 1,
1, 0, 0, 1,
1, 0, 0, 1,
1, 1, 0, 1,
1, 1, 0, 1,
1, 1, 0, 1,
1, 1, 0, 1,
0, 1, 0, 1,
0, 1, 0, 1,
0, 1, 0, 1,
0, 1, 0, 1,
1, 0.5, 0.5, 1,
1, 0.5, 0.5, 1,
1, 0.5, 0.5, 1,
1, 0.5, 0.5, 1,
1, 0, 1, 1,
1, 0, 1, 1,
1, 0, 1, 1,
1, 0, 1, 1,
0, 0, 1, 1,
0, 0, 1, 1,
0, 0, 1, 1,
0, 0, 1, 1
])
}
}
});
}
}
export default class AppAnimationLoop extends AnimationLoop {
// .context(() => createGLContext({canvas: 'lesson04-canvas'}))
static getInfo() {
return INFO_HTML;
}
onInitialize({gl}) {
setParameters(gl, {
clearColor: [0, 0, 0, 1],
clearDepth: 1,
depthTest: true,
depthFunc: GL.LEQUAL
});
return {
pyramid: new Model(gl, {
vs: VERTEX_SHADER,
fs: FRAGMENT_SHADER,
geometry: new ColoredPyramidGeometry()
}),
cube: new Model(gl, {
vs: VERTEX_SHADER,
fs: FRAGMENT_SHADER,
geometry: new ColoredCubeGeometry()
})
};
}
onRender({gl, tick, aspect, pyramid, cube}) {
gl.clear(GL.COLOR_BUFFER_BIT | GL.DEPTH_BUFFER_BIT);
const projection = new Matrix4().perspective({aspect});
const view = new Matrix4().lookAt({eye: [0, 0, 0]});
pyramid
.setUniforms({
uPMatrix: projection,
uMVMatrix: view
.clone()
.translate([-1.5, 0, -8])
.rotateY(tick * 0.01)
})
.draw();
const phi = tick * 0.01;
cube
.setUniforms({
uPMatrix: projection,
uMVMatrix: view
.clone()
.translate([1.5, 0, -8])
.rotateXYZ([phi, phi, phi])
})
.draw();
}
}
/* global window */
if (typeof window !== 'undefined' && !window.website) {
const animationLoop = new AppAnimationLoop();
animationLoop.start();
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/13/package.json
|
{
"version": "0.0.1",
"private": true,
"name": "@rapidsai/demo-luma.gl-lessons-13",
"description": "The classic WebGL Lesson 13 ported to luma.gl.",
"contributors": [
"Jian Huang <[email protected]>"
],
"scripts": {
"start": "webpack-dev-server --progress --hot --open -d",
"start-local": "webpack-dev-server --env.local --progress --hot --open -d"
},
"dependencies": {
"@luma.gl/constants": "8.5.16",
"@luma.gl/core": "8.5.16",
"math.gl": "3.6.3"
}
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/13/app.js
|
import GL from '@luma.gl/constants';
import {
AnimationLoop,
Texture2D,
setParameters,
Model,
SphereGeometry,
CubeGeometry
} from '@luma.gl/core';
import {Matrix4, radians} from 'math.gl';
const INFO_HTML = `
<p>
<a href="http://learningwebgl.com/blog/?p=1523" target="_blank">
Per-fragment lighting and multiple programs
</a>
<p>
The classic WebGL Lessons in luma.gl
`;
const FRAGMENT_LIGHTING_VERTEX_SHADER = `\
precision highp float;
attribute vec3 positions;
attribute vec3 normals;
attribute vec2 texCoords;
uniform mat4 uMMatrix;
uniform mat4 uVMatrix;
uniform mat4 uPMatrix;
varying vec2 vTextureCoord;
varying vec4 vTransformedNormal;
varying vec4 vPosition;
void main(void) {
vPosition = uMMatrix * vec4(positions, 1.0);
gl_Position = uPMatrix * uVMatrix * vPosition;
vTextureCoord = texCoords;
vTransformedNormal = uMMatrix * vec4(normals, 0.0);
}
`;
const FRAGMENT_LIGHTING_FRAGMENT_SHADER = `\
precision highp float;
uniform vec3 uAmbientColor;
uniform vec3 uPointLightingLocation;
uniform vec3 uPointLightingColor;
uniform bool uUseLighting;
uniform bool uUseTextures;
varying vec2 vTextureCoord;
varying vec4 vTransformedNormal;
varying vec4 vPosition;
uniform sampler2D uSampler;
void main(void) {
vec3 lightWeighting;
if (!uUseLighting) {
lightWeighting = vec3(1.0, 1.0, 1.0);
} else {
vec3 lightDirection = normalize(uPointLightingLocation - vPosition.xyz);
float pointLightWeighting = max(dot(vTransformedNormal.xyz, lightDirection), 0.0);
lightWeighting = uAmbientColor + uPointLightingColor * pointLightWeighting;
}
vec4 fragmentColor;
if (uUseTextures) {
fragmentColor = texture2D(uSampler, vec2(1.0 - vTextureCoord.s, 1.0 - vTextureCoord.t));
} else {
fragmentColor = vec4(1.0, 1.0, 1.0, 1.0);
}
gl_FragColor = vec4(fragmentColor.rgb * lightWeighting, fragmentColor.a);
}
`;
const appState = {
moonRotationMatrix: new Matrix4().rotateY(radians(180)).translate([2, 0, 0]),
cubeRotationMatrix: new Matrix4().translate([1.25, 0, 0]),
lastTime: 0
};
export default class AppAnimationLoop extends AnimationLoop {
static getInfo() {
return INFO_HTML;
}
onInitialize({canvas, gl}) {
setParameters(gl, {
clearColor: [0, 0, 0, 1],
clearDepth: 1,
depthTest: true
});
const moonTexture = new Texture2D(gl, 'moon.gif');
const crateTexture = new Texture2D(gl, 'crate.gif');
const moon = new Model(gl, {
fs: FRAGMENT_LIGHTING_FRAGMENT_SHADER,
vs: FRAGMENT_LIGHTING_VERTEX_SHADER,
geometry: new SphereGeometry({
nlat: 30,
nlong: 30,
radius: 2
}),
uniforms: {
uSampler: moonTexture
}
});
const cube = new Model(gl, {
fs: FRAGMENT_LIGHTING_FRAGMENT_SHADER,
vs: FRAGMENT_LIGHTING_VERTEX_SHADER,
geometry: new CubeGeometry(),
uniforms: {
uSampler: crateTexture
}
});
return {moon, cube};
}
// eslint-disable-next-line complexity
onRender({gl, tick, aspect, moon, cube}) {
gl.clear(GL.COLOR_BUFFER_BIT | GL.DEPTH_BUFFER_BIT);
// set camera position
const eyePos = new Matrix4().rotateX(radians(-30)).transform([0, 0, 10]);
// TypeError: (intermediate value).rotateX(...).transformVector3 is not a function
const uVMatrix = new Matrix4().lookAt({eye: eyePos, center: [0, 0, 0], up: [0, 1, 0]});
const useLighting = true;
const useTextures = true;
const ambientColor = [0.1, 0.1, 0.1];
const pointLightingLocation = [4, 4, 4];
const pointLightColor = [1.0, 0.8, 0.8];
moon.setUniforms({
uUseLighting: useLighting,
uUseTextures: useTextures
});
cube.setUniforms({
uUseLighting: useLighting,
uUseTextures: useTextures
});
if (useLighting) {
moon.setUniforms({
uAmbientColor: ambientColor,
uPointLightingLocation: pointLightingLocation,
uPointLightingColor: pointLightColor
});
cube.setUniforms({
uAmbientColor: ambientColor,
uPointLightingLocation: pointLightingLocation,
uPointLightingColor: pointLightColor
});
}
moon
.setUniforms({
uMMatrix: appState.moonRotationMatrix,
uVMatrix,
uPMatrix: new Matrix4().perspective({
fov: (45 * Math.PI) / 180,
aspect,
near: 0.1,
far: 100
})
})
.draw();
cube
.setUniforms({
uMMatrix: appState.cubeRotationMatrix,
uVMatrix,
uPMatrix: new Matrix4().perspective({
fov: (45 * Math.PI) / 180,
aspect,
near: 0.1,
far: 100
})
})
.draw();
animate(appState);
}
}
function animate(state) {
const timeNow = new Date().getTime();
if (state.lastTime !== 0) {
const elapsed = timeNow - state.lastTime;
const newMatrix = new Matrix4().rotateY(radians(elapsed / 20));
state.moonRotationMatrix.multiplyLeft(newMatrix);
state.cubeRotationMatrix.multiplyLeft(newMatrix);
}
state.lastTime = timeNow;
}
/* global window */
if (typeof window !== 'undefined' && !window.website) {
const animationLoop = new AppAnimationLoop();
animationLoop.start();
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/11/package.json
|
{
"version": "0.0.1",
"private": true,
"name": "@rapidsai/demo-luma.gl-lessons-11",
"description": "The classic WebGL Lesson 11 ported to luma.gl.",
"contributors": [
"Jian Huang <[email protected]>"
],
"scripts": {
"start": "webpack-dev-server --progress --hot --open -d",
"start-local": "webpack-dev-server --env.local --progress --hot --open -d"
},
"dependencies": {
"@luma.gl/constants": "8.5.16",
"@luma.gl/core": "8.5.16",
"math.gl": "3.6.3",
"mjolnir.js": "2.5.2"
}
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/11/app.js
|
import GL from '@luma.gl/constants';
import {AnimationLoop, setParameters, Texture2D, Model, SphereGeometry} from '@luma.gl/core';
import {Vector3, Matrix4} from 'math.gl';
import {EventManager} from 'mjolnir.js';
/* eslint-disable complexity */
const INFO_HTML = `
<p>
<a href="http://learningwebgl.com/blog/?p=1253" target="_blank">
Models, rotation matrices, and mouse events
</a>
<br/>
<br/>
(Rotate the moon with the mouse)
<p>
The classic WebGL Lessons in luma.gl
`;
const VERTEX_SHADER = `\
attribute vec3 positions;
attribute vec3 normals;
attribute vec2 texCoords;
uniform mat4 uMMatrix;
uniform mat4 uVMatrix;
uniform mat4 uPMatrix;
uniform vec3 uAmbientColor;
uniform vec3 uLightingDirection;
uniform vec3 uDirectionalColor;
uniform bool uUseLighting;
varying vec2 vTextureCoord;
varying vec3 vLightWeighting;
void main(void) {
gl_Position = uPMatrix * uVMatrix * uMMatrix * vec4(positions, 1.0);
vTextureCoord = texCoords;
if (!uUseLighting) {
vLightWeighting = vec3(1.0, 1.0, 1.0);
} else {
vec4 transformedNormal = uMMatrix * vec4(normals, 1.0);
vec3 newNormal = transformedNormal.xyz / transformedNormal.w;
float directionalLightWeighting = max(dot(newNormal, uLightingDirection), 0.0);
vLightWeighting = uAmbientColor + uDirectionalColor * directionalLightWeighting;
}
}
`;
const FRAGMENT_SHADER = `\
precision highp float;
varying vec2 vTextureCoord;
varying vec3 vLightWeighting;
uniform sampler2D uSampler;
void main(void) {
vec4 textureColor = texture2D(uSampler, vec2(1.0 - vTextureCoord.s, 1.0 - vTextureCoord.t));
gl_FragColor = vec4(textureColor.rgb * vLightWeighting, textureColor.a);
}
`;
const appState = {
mouseDown: false,
lastMouseX: null,
lastMouseY: null,
moonRotationMatrix: new Matrix4()
};
export default class AppAnimationLoop extends AnimationLoop {
static getInfo() {
return INFO_HTML;
}
onInitialize({canvas, gl}) {
// Use mjolnir.js (hammer.js)'s EventManager to handle gestures on both
// desktop and mobile
this.eventManager = new EventManager(canvas);
addMouseHandler(this.eventManager);
setParameters(gl, {
clearColor: [0, 0, 0, 1],
clearDepth: 1,
depthTest: true
});
return {
moon: new Model(gl, {
fs: FRAGMENT_SHADER,
vs: VERTEX_SHADER,
geometry: new SphereGeometry({
nlat: 30,
nlong: 30,
radius: 2
}),
uniforms: {
uSampler: new Texture2D(gl, 'moon.gif')
}
})
};
}
// eslint-disable-next-line complexity
onRender({gl, tick, aspect, moon}) {
// Update Camera Position
const eyePos = [0, 0, 6];
gl.clear(GL.COLOR_BUFFER_BIT | GL.DEPTH_BUFFER_BIT);
const uMMatrix = new Matrix4().multiplyRight(appState.moonRotationMatrix);
const uVMatrix = new Matrix4().lookAt({eye: eyePos, center: [0, 0, 0], up: [0, 1, 0]});
// Read controls
const {lighting, ambientColor, lightingDirection, directionalColor} = getControlValues();
moon.setUniforms({uUseLighting: lighting});
if (lighting) {
lightingDirection.normalize();
lightingDirection.scale(-1);
moon.setUniforms({
uAmbientColor: ambientColor,
uLightingDirection: lightingDirection,
uDirectionalColor: directionalColor
});
}
return moon
.setUniforms({
uMMatrix,
uVMatrix,
uPMatrix: new Matrix4().perspective({
fov: (45 * Math.PI) / 180,
aspect,
near: 0.1,
far: 100
})
})
.draw();
}
onFinalize() {
this.eventManager.destroy();
}
}
function addMouseHandler(eventManager) {
eventManager.on({
panstart(event) {
appState.mouseDown = true;
appState.lastMouseX = event.offsetCenter.x;
appState.lastMouseY = event.offsetCenter.y;
},
panmove(event) {
if (!appState.mouseDown) {
return;
}
if (appState.lastMouseX !== undefined) {
const radiansX = (event.offsetCenter.x - appState.lastMouseX) / 300;
const radiansY = (event.offsetCenter.y - appState.lastMouseY) / 300;
const newMatrix = new Matrix4().rotateX(radiansY).rotateY(radiansX);
appState.moonRotationMatrix.multiplyLeft(newMatrix);
}
appState.lastMouseX = event.offsetCenter.x;
appState.lastMouseY = event.offsetCenter.y;
},
panend(e) {
appState.mouseDown = false;
}
});
}
function getControlValues() {
/* global document */
function getElementValue(id, defaultValue) {
return defaultValue;
// const element = document.getElementById(id);
// return element ? parseFloat(element.value) : defaultValue;
}
const lighting = true;
// const element = document.getElementById('lighting');
// const lighting = element ? element.checked : true;
const ambientColor =
lighting &&
new Vector3(
getElementValue('ambientR', 0.2),
getElementValue('ambientG', 0.2),
getElementValue('ambientB', 0.2)
);
const lightingDirection =
lighting &&
new Vector3(
getElementValue('lightDirectionX', -1),
getElementValue('lightDirectionY', -1),
getElementValue('lightDirectionZ', -1)
);
const directionalColor =
lighting &&
new Vector3(
getElementValue('directionalR', 0.8),
getElementValue('directionalG', 0.8),
getElementValue('directionalB', 0.8)
);
return {lighting, ambientColor, lightingDirection, directionalColor};
}
/* global window */
if (typeof window !== 'undefined' && !window.website) {
const animationLoop = new AppAnimationLoop();
animationLoop.start();
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/01/package.json
|
{
"version": "0.0.1",
"private": true,
"name": "@rapidsai/demo-luma.gl-lessons-01",
"scripts": {
"start": "webpack-dev-server --progress --hot --open -d",
"start-local": "webpack-dev-server --env.local --progress --hot --open -d"
},
"dependencies": {
"@luma.gl/core": "8.5.16",
"math.gl": "3.6.3"
}
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/01/app.js
|
import {AnimationLoop, setParameters} from '@luma.gl/core';
import {Program, VertexArray, Buffer} from '@luma.gl/webgl';
import {Matrix4} from 'math.gl';
const INFO_HTML = `
<p>
<a href="http://learningwebgl.com/blog/?p=28" target="_blank">
A Triangle and a Square
</a>
<p>
The classic WebGL Lessons in luma.gl
`;
const VERTEX_SHADER = `\
attribute vec3 positions;
uniform mat4 uMVMatrix;
uniform mat4 uPMatrix;
void main(void) {
gl_Position = uPMatrix * uMVMatrix * vec4(positions, 1.0);
}
`;
const FRAGMENT_SHADER = `\
precision highp float;
void main(void) {
gl_FragColor = vec4(1.0, 1.0, 1.0, 1.0);
}
`;
export default class AppAnimationLoop extends AnimationLoop {
static getInfo() {
return INFO_HTML;
}
constructor(props = {}) {
super(Object.assign(props, {debug: true}));
}
onInitialize({gl, canvas, aspect}) {
const TRIANGLE_VERTS = [0, 1, 0, -1, -1, 0, 1, -1, 0]; // eslint-disable-line
const SQUARE_VERTS = [1, 1, 0, -1, 1, 0, 1, -1, 0, -1, -1, 0]; // eslint-disable-line
const program = new Program(gl, {
vs: VERTEX_SHADER,
fs: FRAGMENT_SHADER
});
const triangleVertexArray = new VertexArray(gl, {
program,
attributes: {
positions: new Buffer(gl, new Float32Array(TRIANGLE_VERTS))
}
});
const squareVertexArray = new VertexArray(gl, {
program,
attributes: {
positions: new Buffer(gl, new Float32Array(SQUARE_VERTS))
}
});
const view = new Matrix4().translate([-1.5, 0, -7]);
const projection = new Matrix4().perspective({aspect});
setParameters(gl, {
clearColor: [0, 0, 0, 1],
clearDepth: [1],
depthTest: true,
depthFunc: gl.LEQUAL
});
gl.clear(gl.COLOR_BUFFER_BIT | gl.DEPTH_BUFFER_BIT);
program
.setUniforms({
uMVMatrix: view,
uPMatrix: projection
})
.draw({
vertexArray: triangleVertexArray,
drawMode: gl.TRIANGLES,
vertexCount: 3
});
// Draw Square
view.translate([3, 0, 0]);
program
.setUniforms({
uMVMatrix: view,
uPMatrix: projection
})
.draw({
vertexArray: squareVertexArray,
drawMode: gl.TRIANGLE_STRIP,
vertexCount: 4
});
}
}
/* global window */
if (typeof window !== 'undefined' && !window.website) {
const animationLoop = new AppAnimationLoop();
animationLoop.start();
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/16/WebGLExport.py
|
#!BPY
"""
Name: 'WebGL JavaScript (.js)'
Blender: 244
Group: 'Export'
Tooltip: 'WebGL JavaScript'
"""
# --------------------------------------------------------------------------
# ***** BEGIN GPL LICENSE BLOCK *****
#
# Copyright (C) 2010 Dennis Ippel
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
#
# ***** END GPL LICENCE BLOCK *****
# --------------------------------------------------------------------------
__author__ = "Dennis Ippel"
__url__ = ("http://www.rozengain.com")
__version__ = "0.2"
__bpydoc__ = """
For more information please go to:
http://www.rozengain.com
"""
import Blender
from Blender import *
import bpy
import bpy
import os
from Blender.BGL import *
EVENT_NOEVENT = 1
EVENT_DRAW = 2
EVENT_EXIT = 3
EVENT_EXPORT = 4
EVENT_BROWSEFILE = 5
file_button = Draw.Create("")
engine_menu = Draw.Create(1)
exp_all = Draw.Create(0)
exp_normals = Draw.Create(0)
animation_button = Draw.Create(0)
animation_start = Draw.Create(0)
animation_end = Draw.Create(0)
def export_scenejs(class_name, mesh):
s = "var BlenderExport = {};\n"
s += "BlenderExport.%s = function() {\n" % (class_name)
s += "return SceneJS.geometry({\n"
s += "type: \'%s\',\n" % (class_name)
vertices = "vertices : ["
indices = "indices : ["
indexcount = 0;
print len(mesh.faces)
for f in mesh.faces:
vertices += "[%.6f,%.6f,%.6f],[%.6f,%.6f,%.6f],[%.6f,%.6f,%.6f]," % (f.verts[0].co.x, f.verts[0].co.y, f.verts[0].co.z,f.verts[1].co.x, f.verts[1].co.y, f.verts[1].co.z,f.verts[2].co.x, f.verts[2].co.y, f.verts[2].co.z)
indices += "[%i,%i,%i]," % (indexcount,indexcount+1,indexcount+2)
indexcount += 3
indices += "],\n";
vertices += "],\n";
s += vertices
s += indices
if(exp_normals == 1):
s += "normals : ["
for v in mesh.verts:
s += "[%.6f, %.6f, %.6f]," % (v.no.x, v.no.y, v.no.z)
s += "],\n"
if (mesh.vertexColors):
s += "colors : ["
for face in mesh.faces:
for (vert, color) in zip(face.verts, face.col):
s += "[%.6f,%.6f,%.6f,%.6f]," % ( color.r / 255.0, color.g / 255.0, color.b / 255.0, color.a / 255.0)
s += "]\n"
if (mesh.faceUV):
s += "texCoords : ["
for face in mesh.faces:
s += "[%.6f,%.6f],[%.6f,%.6f],[%.6f,%.6f]," % (face.uv[0][0], face.uv[0][1], face.uv[1][0], face.uv[1][1], face.uv[2][0], face.uv[2][1])
s += "]\n"
s += "});\n};"
return s
def export_native(class_name, mesh, ob):
s = "var BlenderExport = {};\n"
s += "BlenderExport.%s = {};\n" % (class_name)
vertices = "BlenderExport.%s.vertices = [" % (class_name)
indices = "BlenderExport.%s.indices = [" % (class_name)
indexcount = 0;
for f in mesh.faces:
vertices += "%.6f,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f," % (f.verts[0].co.x, f.verts[0].co.y, f.verts[0].co.z,f.verts[1].co.x, f.verts[1].co.y, f.verts[1].co.z,f.verts[2].co.x, f.verts[2].co.y, f.verts[2].co.z)
indexcount += 3
indices += "];\n";
vertices += "];\n";
s += vertices
s += indices
s += "for(var i=0;i<%s;i++) BlenderExport.%s.indices.push(i);\n" % (indexcount, class_name)
if(exp_normals == 1):
s += "BlenderExport.%s.normals = [" % (class_name)
for v in mesh.verts:
s += "%.6f, %.6f, %.6f," % (v.no.x, v.no.y, v.no.z)
s += "];\n"
if (mesh.vertexColors):
s += "BlenderExport.%s.colors = [" % (class_name)
for face in mesh.faces:
for (vert, color) in zip(face.verts, face.col):
s += "%.6f,%.6f,%.6f,%.6f," % ( color.r / 255.0, color.g / 255.0, color.b / 255.0, color.a / 255.0)
s += "];\n"
if (mesh.faceUV):
s += "BlenderExport.%s.texCoords = [" % (class_name)
for face in mesh.faces:
s += "%.6f,%.6f,%.6f,%.6f,%.6f,%.6f," % (face.uv[0][0], face.uv[0][1], face.uv[1][0], face.uv[1][1], face.uv[2][0], face.uv[2][1])
s += "];\n"
if animation_button.val:
s += "BlenderExport.%s.frames = [" % (class_name)
matrix = ob.getMatrix('worldspace')
for frame in xrange(animation_start.val, animation_end.val):
Blender.Set('curframe', frame)
tmpMesh = Mesh.New()
tmpMesh.getFromObject(ob.name)
tmpMesh.transform(matrix)
s+= "["
for f in tmpMesh.faces:
for v in f.verts:
s += "%.6f,%.6f,%.6f," % (v.co.x, v.co.y, v.co.z)
s += "],"
s += "];"
return s
def export_json(objects):
result = []
result.append('{\n')
for obj in objects:
mesh = Mesh.New()
mesh.getFromObject(obj, 0)
indexCount = 0
positions = []
normals = []
textureCoords = []
for face in mesh.faces:
for vertex in face.verts:
positions.extend(('%.6f' % value) for value in (vertex.co.x, vertex.co.y, vertex.co.z))
if exp_normals == 1:
normals.extend(('%.6f' % value) for value in (vertex.no.x, vertex.no.y, vertex.no.z))
if mesh.faceUV:
textureCoords.extend(('%.6f' % value) for value in (face.uv[0][0], face.uv[0][1], face.uv[1][0], face.uv[1][1], face.uv[2][0], face.uv[2][1]))
indexCount += 3
result.append('\t"%s" : {\n' % obj.name)
result.append('\t\t"vertexPositions" : [')
result.extend(', '.join(positions))
result.append('],\n')
if exp_normals == 1:
result.append('\t\t"vertexNormals" : [')
result.extend(', '.join(normals))
result.append('],\n')
result.append('\t\t"vertexTextureCoords" : [')
result.extend(', '.join(textureCoords))
result.append('],\n')
result.append('\t\t"indices" : [')
result.append(', '.join(str(i) for i in range(indexCount)))
result.append(']\n')
result.append('\t},\n')
result.append('}\n')
return ''.join(result)
def export_glge_js(class_name, mesh):
s = "var BlenderExport = {};\n"
s += "BlenderExport.%s = function() {\n" % (class_name)
s += "var obj=new GLGE.Object(\'%s\');\n" % (class_name)
s += "var mesh=new GLGE.Mesh();\n"
vertices = "mesh.setPositions(["
normals = "mesh.setNormals(["
uvs = "mesh.setUV(["
indices = "mesh.setFaces(["
indexcount = 0;
for f in mesh.faces:
vertices += "%.6f,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f," % (f.verts[0].co.x, f.verts[0].co.y, f.verts[0].co.z,f.verts[1].co.x, f.verts[1].co.y, f.verts[1].co.z,f.verts[2].co.x, f.verts[2].co.y, f.verts[2].co.z)
if (f.smooth):
normals += "%.6f,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f," % (f.verts[0].no.x, f.verts[0].no.y, f.verts[0].no.z,f.verts[1].no.x, f.verts[1].no.y, f.verts[1].no.z,f.verts[2].no.x, f.verts[2].no.y, f.verts[2].no.z)
else:
normals += "%.6f,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f," % (f.no.x, f.no.y, f.no.z,f.no.x, f.no.y, f.no.z,f.no.x, f.no.y, f.no.z)
if (mesh.faceUV):
uvs += "%.6f,%.6f,%.6f,%.6f,%.6f,%.6f," % (f.uv[0][0], f.uv[0][1], f.uv[1][0], f.uv[1][1], f.uv[2][0], f.uv[2][1])
indices += "%i,%i,%i," % (indexcount,indexcount+1,indexcount+2)
indexcount += 3
indicies=indices[:len(indices)-1]
normals=normals[:len(normals)-1]
if (mesh.faceUV):
uvs=uvs[:len(uvs)-1]
vertices=vertices[:len(vertices)-1]
indices += "]);\n";
normals += "]);\n";
uvs += "]);\n";
vertices += "]);\n";
s += vertices
s += normals
if (mesh.faceUV):
s += uvs
s += indices
s += "var material=new GLGE.Material();\n"
s += "obj.setMaterial(material);\n"
s += "obj.setMesh(mesh);\n"
s += "return obj;\n};"
print s
return s
def export_glge_xml(class_name, mesh):
s = "<?xml version=\"1.0\" ?>\n"
s += "<glge>\n"
s += "<mesh id=\"%s\">\n" % (class_name)
vertices = "<positions>"
normals = "<normals>"
uvs = "<uv>"
indices = "<faces>"
indexcount = 0;
for f in mesh.faces:
vertices += "%.6f,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f," % (f.verts[0].co.x, f.verts[0].co.y, f.verts[0].co.z,f.verts[1].co.x, f.verts[1].co.y, f.verts[1].co.z,f.verts[2].co.x, f.verts[2].co.y, f.verts[2].co.z)
if (f.smooth):
normals += "%.6f,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f," % (f.verts[0].no.x, f.verts[0].no.y, f.verts[0].no.z,f.verts[1].no.x, f.verts[1].no.y, f.verts[1].no.z,f.verts[2].no.x, f.verts[2].no.y, f.verts[2].no.z)
else:
normals += "%.6f,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f,%.6f," % (f.no.x, f.no.y, f.no.z,f.no.x, f.no.y, f.no.z,f.no.x, f.no.y, f.no.z)
if (mesh.faceUV):
uvs += "%.6f,%.6f,%.6f,%.6f,%.6f,%.6f," % (f.uv[0][0], f.uv[0][1], f.uv[1][0], f.uv[1][1], f.uv[2][0], f.uv[2][1])
indices += "%i,%i,%i," % (indexcount,indexcount+1,indexcount+2)
indexcount += 3
indicies=indices[:len(indices)-1]
normals=normals[:len(normals)-1]
uvs=uvs[:len(uvs)-1]
vertices=vertices[:len(vertices)-1]
indices += "</faces>\n";
normals += "</normals>;\n";
uvs += "</uv>\n";
vertices += "</positions>\n";
s += vertices
s += normals
if (mesh.faceUV):
s += uvs
s += indices
s += "</mesh>\n"
s += "</glge>"
return s
def event(evt, val):
if (evt == Draw.QKEY and not val):
Draw.Exit()
def bevent(evt):
global EVENT_NOEVENT,EVENT_DRAW,EVENT_EXIT
if (evt == EVENT_EXIT):
Draw.Exit()
elif (evt== EVENT_DRAW):
Draw.Redraw()
elif (evt== EVENT_EXPORT):
sce = bpy.data.scenes.active
obs = None
if(exp_all == 1):
# export all scene objects
obs = [ob for ob in sce.objects if ob.type == 'Mesh']
else:
# export the selected objects
obs = [ob for ob in sce.objects.selected if ob.type == 'Mesh']
if (len(obs) == 0):
Draw.PupMenu("Nothing to export. Please select a Mesh.")
Draw.Exit()
return
if engine_menu.val == 6:
filename = file_button.val
if not filename.endswith(".json"):
filename += ".json"
out = open(filename, 'w')
out.write(export_json(obs))
out.close()
else:
# export all object names to separate files
for ob in obs:
me = Mesh.New()
me.getFromObject(ob,0)
class_name = ob.name.replace(".", "")
ext = ""
if(engine_menu.val ==4): ext = ".xml"
else: ext = ".js"
out = open(file_button.val+""+class_name+ext, 'w')#file(file_button.val, 'w')
data_string = ""
if (engine_menu.val == 1):
data_string = export_native(class_name, me, ob)
elif(engine_menu.val == 2):
data_string = export_scenejs(class_name, me)
elif(engine_menu.val == 3):
data_string = export_glge_js(class_name, me)
elif(engine_menu.val == 4):
data_string = export_glge_xml(class_name, me)
elif(engine_menu.val == 5):
data_string = export_copperlicht(class_name, me)
out.write(data_string)
out.close()
Draw.PupMenu("Export Successful")
elif (evt== EVENT_BROWSEFILE):
if (engine_menu.val == 4):
Window.FileSelector(FileSelected,"Export .xml", exp_file_name)
elif (engine_menu.val == 6):
Window.FileSelector(FileSelected,"Export .json", exp_file_name)
else:
Window.FileSelector(FileSelected,"Export .js", exp_file_name)
Draw.Redraw(1)
def FileSelected(file_name):
global file_button
if file_name != '':
file_button.val = file_name
else:
cutils.Debug.Debug('ERROR: filename is empty','ERROR')
def draw():
global file_button, exp_file_name, animation_button, animation_start, animation_end
global engine_menu, engine_name, exp_normals, exp_all
global EVENT_NOEVENT, EVENT_DRAW, EVENT_EXIT, EVENT_EXPORT
exp_file_name = ""
glClear(GL_COLOR_BUFFER_BIT)
glRasterPos2i(40, 240)
engine_name = "Native WebGL%x1|SceneJS%x2|GLGE JS%x3|GLGE XML%x4|JSON%x6"
engine_menu = Draw.Menu(engine_name, EVENT_NOEVENT, 40, 100, 200, 20, engine_menu.val, "Choose your engine")
file_button = Draw.String('File location: ', EVENT_NOEVENT, 40, 70, 250, 20, file_button.val, 255)
Draw.PushButton('...', EVENT_BROWSEFILE, 300, 70, 30, 20, 'browse file')
exp_normals = Draw.Toggle('Export normals', EVENT_NOEVENT, 250, 45, 100, 20, exp_normals.val)
anim_down = 0
if animation_button.val == 1:
anim_down = 1
animation_button = Draw.Toggle('Export animation frames (native WebGL only)', EVENT_NOEVENT, 400, 70, 300, 20, animation_button.val, 'Export keyframe animation')
animation_start = Draw.Number('Start frame', EVENT_NOEVENT, 400, 45, 160, 20, animation_start.val, 1, 9999)
animation_end = Draw.Number('End frame', EVENT_NOEVENT, 400, 20, 160, 20, animation_end.val, 2, 9999)
exp_all = Draw.Toggle('Export ALL scene objects', EVENT_NOEVENT, 40, 45, 200, 20, exp_all.val)
Draw.Button("Export",EVENT_EXPORT , 40, 20, 80, 18)
Draw.Button("Exit",EVENT_EXIT , 140, 20, 80, 18)
Draw.Register(draw, event, bevent)
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/16/package.json
|
{
"version": "0.0.1",
"private": true,
"name": "@rapidsai/demo-luma.gl-lessons-16",
"scripts": {
"start": "webpack-dev-server --progress --hot --open -d",
"start-local": "webpack-dev-server --env.local --progress --hot --open -d"
},
"dependencies": {
"@loaders.gl/images": "3.2.9",
"@luma.gl/constants": "8.5.16",
"@luma.gl/core": "8.5.16",
"@luma.gl/experimental": "8.5.16",
"@luma.gl/shadertools": "8.5.16",
"math.gl": "3.6.3"
}
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/16/macbook.json
|
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| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/16/app.js
|
// TODO: Remaining issues
// 1. Specular highlights don not match with example:
// verify light position relative to moon/cube
// 2. Fix positioning (translations) of moon and cube.
// 3. Match laptopScreen uniforms with the example.
// 4. Match zNear/zFar values with example on all cases.
// 5. Verify lookAt matrix used. (do we need it?)
/* eslint-disable max-statements, indent, no-multi-spaces */
import GL from '@luma.gl/constants';
import {
AnimationLoop,
Model,
Geometry,
Texture2D,
Program,
Renderbuffer,
Framebuffer,
setParameters,
CubeGeometry,
SphereGeometry
} from '@luma.gl/core';
import {Matrix4} from 'math.gl';
import { loadFile } from '@luma.gl/webgl';
import { ModelNode } from '@luma.gl/experimental';
const INFO_HTML = `
<p>
<a href="http://learningwebgl.com/blog/?p=1786" target="_blank">
Rendering to textures
</a>
<br/>
<br/>
Laptop model adapted from
<a href="http://www.turbosquid.com/3d-models/apple-macbook-max-free/391534">
this 3DS Max model by Xedium
</a><br/>
Moon texture courtesy of
<a href="http://maps.jpl.nasa.gov/">
the Jet Propulsion Laboratory
</a>.
<p>
The classic WebGL Lessons in luma.gl
`;
// TODO: For Debugging only, remove once rendering issues fixed.
const FRAGMENT_SHADER_SQ = `\
precision highp float;
varying vec4 vColor;
void main(void) {
gl_FragColor = vColor;
}
`;
const VERTEX_SHADER_SQ = `\
attribute vec3 positions;
attribute vec4 colors;
uniform mat4 uMVMatrix;
uniform mat4 uPMatrix;
varying vec4 vColor;
void main(void) {
gl_Position = uPMatrix * uMVMatrix * vec4(positions, 1.0);
vColor = colors;
}
`;
const squareGeometry = new Geometry({
drawMode: GL.TRIANGLE_STRIP,
attributes: {
positions: new Float32Array([1, 1, 0, -1, 1, 0, 1, -1, 0, -1, -1, 0]),
colors: {
size: 4,
value: new Float32Array([1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1])
}
}
});
const RENDER_SQUARE = false;
const VERTEX_SHADER = `\
attribute vec3 positions;
attribute vec3 normals;
attribute vec2 texCoords;
uniform mat4 uMVMatrix;
uniform mat4 uPMatrix;
varying vec2 vTextureCoord;
varying vec3 vTransformedNormal;
varying vec4 vPosition;
void main(void) {
// Perform lighting in world space
// we should use 'transpose(inverse(mat3(uMVMatrix)))', but
// 'inverse' matrix operation not supported in GLSL 1.0, for now use
// upper-left 3X3 matrix of model view matrix, it works since we are not
// doing any non-uniform scaling transormations in this example.
mat3 normalMatrix = mat3(uMVMatrix);
vPosition = uMVMatrix * vec4(positions, 1.0);
gl_Position = uPMatrix * vPosition;
vTextureCoord = texCoords;
vTransformedNormal = normalMatrix * normals;
}
`;
const FRAGMENT_SHADER = `\
precision highp float;
varying vec2 vTextureCoord;
varying vec3 vTransformedNormal;
varying vec4 vPosition;
uniform vec3 uMaterialAmbientColor;
uniform vec3 uMaterialDiffuseColor;
uniform vec3 uMaterialSpecularColor;
uniform float uMaterialShininess;
uniform vec3 uMaterialEmissiveColor;
uniform bool uShowSpecularHighlights;
uniform bool uUseTextures;
uniform vec3 uAmbientLightingColor;
uniform vec3 uPointLightingLocation;
uniform vec3 uPointLightingDiffuseColor;
uniform vec3 uPointLightingSpecularColor;
uniform sampler2D uSampler;
void main(void) {
vec3 ambientLightWeighting = uAmbientLightingColor;
vec3 lightDirection = normalize(uPointLightingLocation - vPosition.xyz);
vec3 normal = normalize(vTransformedNormal);
vec3 specularLightWeighting = vec3(0.0, 0.0, 0.0);
if (uShowSpecularHighlights) {
vec3 eyeDirection = normalize(-vPosition.xyz);
vec3 reflectionDirection = reflect(-lightDirection, normal);
float specularLightBrightness =
pow(max(dot(reflectionDirection, eyeDirection), 0.0), uMaterialShininess);
specularLightWeighting = uPointLightingSpecularColor * specularLightBrightness;
}
float diffuseLightBrightness = max(dot(normal, lightDirection), 0.0);
vec3 diffuseLightWeighting = uPointLightingDiffuseColor * diffuseLightBrightness;
vec3 materialAmbientColor = uMaterialAmbientColor;
vec3 materialDiffuseColor = uMaterialDiffuseColor;
vec3 materialSpecularColor = uMaterialSpecularColor;
vec3 materialEmissiveColor = uMaterialEmissiveColor;
float alpha = 1.0;
if (uUseTextures) {
vec4 textureColor = texture2D(uSampler, vec2(vTextureCoord.s, vTextureCoord.t));
materialAmbientColor = materialAmbientColor * textureColor.rgb;
materialDiffuseColor = materialDiffuseColor * textureColor.rgb;
materialEmissiveColor = materialEmissiveColor * textureColor.rgb;
alpha = textureColor.a;
}
gl_FragColor = vec4(
materialAmbientColor * ambientLightWeighting
+ materialDiffuseColor * diffuseLightWeighting
+ materialSpecularColor * specularLightWeighting
+ materialEmissiveColor,
alpha
);
}
`;
let rttFramebuffer;
let rttTexture;
const DISABLE_FB = false;
const FB_WIDTH = 512;
const FB_HEIGHT = 512;
let moonAngle = 0.0;
let cubeAngle = Math.PI;
let laptopAngle = 0.0;
const moonAngleDelta = 0.01; // * Math.PI / 180.0;
const cubeAngleDelta = 0.01; // * Math.PI / 180.0;
const laptopAngleDelta = -0.002; // * Math.PI / 180.0;
export default class AppAnimationLoop extends AnimationLoop {
static getInfo() {
return INFO_HTML;
}
onInitialize({canvas, gl}) {
setParameters(gl, {
clearColor: [0, 0, 0, 1],
clearDepth: 1,
depthTest: true,
depthFunc: GL.LEQUAL
});
const tMoon = new Texture2D(gl, {
data: 'moon.gif',
parameters: {
[gl.TEXTURE_MAG_FILTER]: gl.LINEAR,
[gl.TEXTURE_MIN_FILTER]: gl.LINEAR_MIPMAP_NEAREST
},
mipmap: true
});
const tCrate = new Texture2D(gl, {
data: 'crate.gif',
parameters: {
[gl.TEXTURE_MAG_FILTER]: gl.LINEAR,
[gl.TEXTURE_MIN_FILTER]: gl.LINEAR_MIPMAP_NEAREST
},
mipmap: true
});
return loadFile('macbook.json').then(macbookJSON => {
// Fix attribute name to match with Shaders
macbookJSON = macbookJSON.replace('vertices', 'positions');
const program = new Program(gl, {vs: VERTEX_SHADER, fs: FRAGMENT_SHADER});
const macbook = parseModel(gl, {
id: 'macbook',
file: macbookJSON,
program,
uniforms: Object.assign({}, getLaptopUniforms(), getLightUniforms())
});
const moon = new ModelNode(gl, {
geometry: new SphereGeometry({
nlat: 30,
nlong: 30,
radius: 2
}),
vs: VERTEX_SHADER,
fs: FRAGMENT_SHADER,
uniforms: Object.assign(
{uUseTextures: true, uSampler: tMoon},
getMoonCubeUniforms(),
getLightUniforms()
)
});
const cube = new ModelNode(gl, {
id: 'cube-model',
geometry: new CubeGeometry(),
vs: VERTEX_SHADER,
fs: FRAGMENT_SHADER,
uniforms: Object.assign(
{uUseTextures: true, uSampler: tCrate},
getMoonCubeUniforms(),
getLightUniforms()
)
});
setupFramebuffer(gl);
const laptopScreenModel = generateLaptopScreenModel(gl);
// TODO: Square program/model for debugging only, remove once all rendering issues resolved
const programSQ = new Program(gl, {vs: VERTEX_SHADER_SQ, fs: FRAGMENT_SHADER_SQ});
const tSquare = new Model(gl, {geometry: squareGeometry, program: programSQ});
return {moon, macbook, cube, laptopScreenModel, tCrate, tSquare};
});
}
onRender({gl, tick, aspect, moon, macbook, cube, laptopScreenModel, canvas, tCrate, tSquare}) {
generateTextureForLaptopScreen(gl, tick, aspect, moon, cube, tSquare);
if (!DISABLE_FB) {
drawOuterScene(gl, tick, aspect, macbook, laptopScreenModel, canvas, tCrate);
}
}
}
function getLaptopUniforms() {
return {
uMaterialAmbientColor: [1.0, 1.0, 1.0],
uMaterialDiffuseColor: [1.0, 1.0, 1.0],
uMaterialSpecularColor: [1.5, 1.5, 1.5],
uMaterialShininess: 5.0,
uMaterialEmissiveColor: [0, 0, 0],
uShowSpecularHighlights: true,
uPointLightingLocation: [-1, 2, -1]
};
}
function getMoonCubeUniforms() {
return {
uMaterialAmbientColor: [1.0, 1.0, 1.0],
uMaterialDiffuseColor: [1.0, 1.0, 1.0],
uMaterialSpecularColor: [0.0, 0.0, 0.0],
uMaterialShininess: 0.0,
uMaterialEmissiveColor: [0.0, 0.0, 0.0],
uShowSpecularHighlights: false,
uPointLightingLocation: [0, 0, -5]
};
}
function getLaptopScreenUniforms() {
return {
uMaterialAmbientColor: [1.0, 1.0, 1.0], // [0, 0, 0],
uMaterialDiffuseColor: [1.0, 1.0, 1.0], // [0, 0, 0],
uMaterialSpecularColor: [0.5, 0.5, 0.5],
uMaterialShininess: 20.0,
uMaterialEmissiveColor: [0.0, 0.0, 0.0],
uShowSpecularHighlights: true,
uPointLightingLocation: [1.5, 1.5, 1.5]
};
}
function getLightUniforms() {
return {
uAmbientLightingColor: [0.2, 0.2, 0.2],
uPointLightingDiffuseColor: [0.8, 0.8, 0.8],
uPointLightingSpecularColor: [0.8, 0.8, 0.8]
};
}
function generateLaptopScreenModel(gl) {
const POSITIONS = new Float32Array([
0.580687,
0.659,
0.813106,
-0.580687,
0.659,
0.813107,
0.580687,
0.472,
0.113121,
-0.580687,
0.472,
0.113121
]);
const NORMALS = new Float32Array([
0.0,
-0.965926,
0.258819,
0.0,
-0.965926,
0.258819,
0.0,
-0.965926,
0.258819,
0.0,
-0.965926,
0.258819
]);
const TEXCOORDS = new Float32Array([1.0, 1.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0]);
const geometry = new Geometry({
id: 'laptopscreen-geometry',
attributes: {
positions: POSITIONS,
normals: NORMALS,
texCoords: TEXCOORDS
},
drawMode: GL.TRIANGLE_STRIP
});
const model = new Model(gl, {
gl,
id: 'laptopscreen-model',
geometry,
vs: VERTEX_SHADER,
fs: FRAGMENT_SHADER,
uniforms: Object.assign({uUseTextures: true}, getLaptopScreenUniforms(), getLightUniforms())
});
return model;
}
function setupFramebuffer(gl) {
rttTexture = new Texture2D(gl, {
data: null,
format: GL.RGBA,
type: GL.UNSIGNED_BYTE,
border: 0,
mipmaps: true,
parameters: {
[GL.TEXTURE_MAG_FILTER]: GL.NEAREST, // GL.LINEAR,
[GL.TEXTURE_MIN_FILTER]: GL.NEAREST // GL.LINEAR_MIPMAP_NEAREST
},
width: FB_WIDTH,
height: FB_HEIGHT,
dataFormat: GL.RGBA
});
const renderbuffer = new Renderbuffer(gl, {
format: GL.DEPTH_COMPONENT16,
width: FB_WIDTH,
height: FB_HEIGHT
});
rttFramebuffer = new Framebuffer(gl, {
width: FB_WIDTH,
height: FB_HEIGHT,
attachments: {
[GL.COLOR_ATTACHMENT0]: rttTexture,
[GL.DEPTH_ATTACHMENT]: renderbuffer
}
});
if (DISABLE_FB === true) {
rttFramebuffer = null;
}
}
// eslint-disable-next-line max-params
function generateTextureForLaptopScreen(gl, tick, aspect, moon, cube, tSquare) {
moonAngle += moonAngleDelta;
cubeAngle += cubeAngleDelta;
gl.viewport(0, 0, FB_WIDTH, FB_HEIGHT);
if (!DISABLE_FB) {
rttFramebuffer.bind();
}
gl.clear(GL.COLOR_BUFFER_BIT | GL.DEPTH_BUFFER_BIT);
// Rendering square for dubgging only, remove once all issues are resolved.
if (RENDER_SQUARE) {
// Draw Square
tSquare
.setPosition([0, 0, -1])
.updateMatrix()
.setUniforms({
uMVMatrix: tSquare.matrix,
uPMatrix: new Matrix4().perspective({aspect})
})
.draw();
} else {
let uMVMatrix = new Matrix4()
.lookAt({eye: [0, 0, 20]})
.translate([2, 0, 0])
.rotateY(moonAngle)
.rotateX((30 * Math.PI) / 180.0)
.translate([0, 0, -5])
.multiplyRight(moon.matrix);
moon
.setUniforms({
uMVMatrix,
uPMatrix: new Matrix4().perspective({aspect: FB_WIDTH / FB_HEIGHT, near: 0.1, far: 500})
})
.draw();
uMVMatrix = new Matrix4()
.lookAt({eye: [0, 0, 20]})
.translate([1, 0, 0])
.rotateY(cubeAngle)
.translate([0, 0, -5])
.multiplyRight(cube.matrix);
cube
.setUniforms({
uMVMatrix,
uPMatrix: new Matrix4().perspective({aspect: FB_WIDTH / FB_HEIGHT})
})
.draw();
}
if (!DISABLE_FB) {
rttFramebuffer.unbind();
}
}
// eslint-disable-next-line max-params
function drawOuterScene(gl, tick, aspect, macbook, laptopScreenModel, canvas, tCrate) {
laptopAngle += laptopAngleDelta;
gl.viewport(0, 0, canvas.width, canvas.height);
gl.clear(GL.COLOR_BUFFER_BIT | GL.DEPTH_BUFFER_BIT);
const uMVMatrix = new Matrix4()
.lookAt({eye: [0, 0, 0]})
.translate([0, -0.5, -3])
.rotateY(laptopAngle)
.rotateX((-80.0 * Math.PI) / 180.0);
macbook
.setUniforms({
uMVMatrix,
uPMatrix: new Matrix4().perspective({aspect}),
uUseTextures: false
})
.draw();
laptopScreenModel
.setUniforms({
uMVMatrix,
uPMatrix: new Matrix4().perspective({aspect}),
uUseTextures: true,
uSampler: rttFramebuffer.texture
})
.draw();
}
function parseModel(gl, opts = {}) {
const {file, program = new Program(gl)} = opts;
const json = typeof file === 'string' ? parseJSON(file) : file;
// Remove any attributes so that we can create a geometry
// TODO - change format to put these in geometry sub object?
const attributes = {};
const modelOptions = {};
for (const key in json) {
const value = json[key];
if (Array.isArray(value)) {
attributes[key] = key === 'indices' ? new Uint16Array(value) : new Float32Array(value);
} else {
modelOptions[key] = value;
}
}
return new Model(
gl,
Object.assign({program, geometry: new Geometry({attributes})}, modelOptions, opts)
);
}
function parseJSON(file) {
try {
return JSON.parse(file);
} catch (error) {
throw new Error(`Failed to parse JSON: ${error}`);
}
}
/* global window */
if (typeof window !== 'undefined' && !window.website) {
const animationLoop = new AppAnimationLoop();
animationLoop.start();
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/09/package.json
|
{
"version": "0.0.1",
"private": true,
"name": "@rapidsai/demo-luma.gl-lessons-09",
"scripts": {
"start": "webpack-dev-server --progress --hot --open -d",
"start-local": "webpack-dev-server --env.local --progress --hot --open -d"
},
"dependencies": {
"@loaders.gl/images": "3.2.9",
"@luma.gl/constants": "8.5.16",
"@luma.gl/core": "8.5.16",
"@luma.gl/experimental": "8.5.16",
"@luma.gl/shadertools": "8.5.16",
"math.gl": "3.6.3"
}
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/09/star.js
|
import { Program, Geometry } from '@luma.gl/core';
import { ModelNode } from '@luma.gl/experimental';
const VERTEX_SHADER = `\
attribute vec3 positions;
attribute vec2 texCoords;
uniform mat4 uMVMatrix;
uniform mat4 uPMatrix;
varying vec2 vTextureCoord;
void main(void) {
gl_Position = uPMatrix * uMVMatrix * vec4(positions, 1.0);
vTextureCoord = texCoords;
}
`;
const FRAGMENT_SHADER = `\
precision highp float;
varying vec2 vTextureCoord;
uniform sampler2D uSampler;
uniform vec3 uColor;
void main(void) {
vec4 textureColor = vec4(texture2D(uSampler, vec2(vTextureCoord.s, vTextureCoord.t)).rgb, 1.0);
gl_FragColor = textureColor * vec4(uColor, 1.0);
}
`;
export class Star extends ModelNode {
constructor(gl, opts = {}) {
const program = new Program(gl, {
fs: FRAGMENT_SHADER,
vs: VERTEX_SHADER
});
super(gl, {
program,
geometry: new Geometry({
attributes: {
// prettier-ignore
positions: new Float32Array([
-1.0, -1.0, 0.0,
1.0, -1.0, 0.0,
-1.0, 1.0, 0.0,
1.0, 1.0, 0.0
]),
// prettier-ignore
texCoords: new Float32Array([
0.0, 0.0,
1.0, 0.0,
0.0, 1.0,
1.0, 1.0
]),
indices: new Uint16Array([0, 1, 3, 3, 2, 0])
}
}),
uniforms: {
uSampler: opts.texture
},
onBeforeRender: () => {
// TODO: Fix this so user can control this with a check-box
const isTwinkle = false; // twinkle.checked;
const r = isTwinkle ? Math.min(1, this.r + this.twinklerR) : this.r;
const g = isTwinkle ? Math.min(1, this.g + this.twinklerG) : this.g;
const b = isTwinkle ? Math.min(1, this.b + this.twinklerB) : this.b;
this.setUniforms({uColor: [r, g, b]});
}
});
this.angle = 0;
this.dist = opts.startingDistance;
this.rotationSpeed = opts.rotationSpeed;
this.spin = 0;
this.randomiseColors();
}
randomiseColors() {
const rd = Math.random;
this.r = rd();
this.g = rd();
this.b = rd();
this.twinklerR = rd();
this.twinklerG = rd();
this.twinklerB = rd();
}
animate(elapsedTime, twinkle) {
this.angle += this.rotationSpeed / 10;
this.dist -= 0.001;
if (this.dist < 0) {
this.dist += 5;
this.randomiseColors();
}
this.position.set(Math.cos(this.angle) * this.dist, Math.sin(this.angle) * this.dist, 0);
this.setRotation([0, 0, this.spin]);
this.spin += 0.1;
this.updateMatrix();
}
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/09/app.js
|
import GL from '@luma.gl/constants';
import {AnimationLoop, Texture2D, setParameters} from '@luma.gl/core';
import {Matrix4} from 'math.gl';
import {Star} from './star';
const INFO_HTML = `
<p>
<a href="http://learningwebgl.com/blog/?p=1008" target="_blank">
Improving the code structure with lots of moving objects
</a>
Up/Down/PageUp/PageDown to tilt and zoom.
<p>
The classic WebGL Lessons in luma.gl
`;
let zoom = -15;
let tilt = 90;
export default class AppAnimationLoop extends AnimationLoop {
static getInfo() {
return INFO_HTML;
}
onInitialize({canvas, gl}) {
/* global document */
document.addEventListener('keydown', keyboardEventHandler);
setParameters(gl, {
clearColor: [0, 0, 0, 1],
clearDepth: 1,
blendFunc: [gl.SRC_ALPHA, gl.ONE],
blend: true
});
const texture = new Texture2D(gl, 'star.gif');
const stars = [];
const numStars = 50;
for (let i = 0; i < numStars; i++) {
stars.push(
new Star(gl, {
startingDistance: (i / numStars) * 5.0,
rotationSpeed: i / numStars,
texture
})
);
}
return {stars};
}
onRender({gl, tick, aspect, stars}) {
// Update Camera Position
const radTilt = (tilt / 180) * Math.PI;
const cameraY = Math.cos(radTilt) * zoom;
const cameraZ = Math.sin(radTilt) * zoom;
gl.clear(GL.COLOR_BUFFER_BIT | GL.DEPTH_BUFFER_BIT);
for (const i in stars) {
const uMVMatrix = new Matrix4()
.lookAt({eye: [0, cameraY, cameraZ]})
.multiplyRight(stars[i].matrix);
stars[i]
.setUniforms({
uMVMatrix,
uPMatrix: new Matrix4().perspective({aspect})
})
.draw();
stars[i].animate();
}
}
onFinalize() {
document.removeEventListener('keydown', keyboardEventHandler);
}
}
function keyboardEventHandler(e) {
switch (e.code) {
case 'ArrowUp':
tilt -= 1.5;
break;
case 'ArrowDown':
tilt += 1.5;
break;
case 'PageUp':
zoom -= 0.1;
break;
case 'PageDown':
zoom += 0.1;
break;
default:
}
}
/* global window */
if (typeof window !== 'undefined' && !window.website) {
const animationLoop = new AppAnimationLoop();
animationLoop.start();
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/03/package.json
|
{
"version": "0.0.1",
"private": true,
"name": "@rapidsai/demo-luma.gl-lessons-03",
"scripts": {
"start": "webpack-dev-server --progress --hot --open -d",
"start-local": "webpack-dev-server --env.local --progress --hot --open -d"
},
"dependencies": {
"@loaders.gl/images": "3.2.9",
"@luma.gl/constants": "8.5.16",
"@luma.gl/core": "8.5.16",
"@luma.gl/experimental": "8.5.16",
"@luma.gl/shadertools": "8.5.16",
"math.gl": "3.6.3"
}
}
| 0 |
rapidsai_public_repos/node/modules/demo/luma/lessons
|
rapidsai_public_repos/node/modules/demo/luma/lessons/03/app.js
|
/* eslint-disable array-bracket-spacing, no-multi-spaces */
import GL from '@luma.gl/constants';
import {ModelNode} from '@luma.gl/experimental';
import {AnimationLoop, setParameters, Geometry} from '@luma.gl/core';
import {Matrix4} from 'math.gl';
const INFO_HTML = `
<p>
<a href="http://learningwebgl.com/blog/?p=239" target="_blank">
A Bit of Movement
</a>
<p>
The classic WebGL Lessons in luma.gl
`;
const FRAGMENT_SHADER = `\
precision highp float;
varying vec4 vColor;
void main(void) {
gl_FragColor = vColor;
}
`;
const VERTEX_SHADER = `\
attribute vec3 positions;
attribute vec4 colors;
uniform mat4 uMVMatrix;
uniform mat4 uPMatrix;
varying vec4 vColor;
void main(void) {
gl_Position = uPMatrix * uMVMatrix * vec4(positions, 1.0);
vColor = colors;
}
`;
const triangleGeometry = new Geometry({
attributes: {
positions: {size: 3, value: new Float32Array([0, 1, 0, -1, -1, 0, 1, -1, 0])},
colors: {size: 4, value: new Float32Array([1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1])}
}
});
const squareGeometry = new Geometry({
drawMode: GL.TRIANGLE_STRIP,
attributes: {
positions: new Float32Array([1, 1, 0, -1, 1, 0, 1, -1, 0, -1, -1, 0]),
colors: {
size: 4,
value: new Float32Array([0.5, 0.5, 1, 1, 0.5, 0.5, 1, 1, 0.5, 0.5, 1, 1, 0.5, 0.5, 1, 1])
}
}
});
export default class AppAnimationLoop extends AnimationLoop {
static getInfo() {
return INFO_HTML;
}
onInitialize({gl}) {
setParameters(gl, {
clearColor: [0, 0, 0, 1],
clearDepth: [1],
depthTest: true,
depthFunc: gl.LEQUAL
});
return {
triangle: new ModelNode(gl, {
geometry: triangleGeometry,
vs: VERTEX_SHADER,
fs: FRAGMENT_SHADER
}),
square: new ModelNode(gl, {geometry: squareGeometry, vs: VERTEX_SHADER, fs: FRAGMENT_SHADER})
};
}
onRender(context) {
const {gl, tick, aspect, triangle, square} = context;
gl.clear(gl.COLOR_BUFFER_BIT | gl.DEPTH_BUFFER_BIT);
const projection = new Matrix4().perspective({aspect});
// Draw triangle
triangle
.setPosition([-1.5, 0, -7])
.setRotation([0, tick * 0.01, 0])
.updateMatrix()
.setUniforms({
uMVMatrix: triangle.matrix,
uPMatrix: projection
})
.draw();
// Draw Square
square
.setPosition([1.5, 0, -7])
.setRotation([tick * 0.1, 0, 0])
.updateMatrix()
.setUniforms({
uMVMatrix: square.matrix,
uPMatrix: projection
})
.draw();
}
}
/* global window */
if (typeof window !== 'undefined' && !window.website) {
const animationLoop = new AppAnimationLoop();
animationLoop.start();
}
| 0 |
rapidsai_public_repos/node/modules/demo
|
rapidsai_public_repos/node/modules/demo/.vscode/launch.json
|
{
// Use IntelliSense to learn about possible attributes.
// Hover to view descriptions of existing attributes.
// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
"version": "0.2.0",
"compounds": [
{
"name": "Debug Demo (TS and C++)",
"configurations": [
"Debug Demo (launch gdb)",
"Debug Demo (attach node)",
]
}
],
"configurations": [
{
"name": "Attach Test",
"port": 9229,
"request": "attach",
"skipFiles": [
"<node_internals>/**"
],
"type": "node"
},
{
"type": "node",
"request": "launch",
"name": "Debug Demo (TS only)",
"program": "${workspaceFolder}/${input:DEMO_NAME}",
"stopOnEntry": false,
"args": [
"${input:DEMO_ARGS}"
],
"runtimeArgs": [
"--experimental-vm-modules"
],
"cwd": "${workspaceFolder}/${input:DEMO_NAME}",
"console": "integratedTerminal",
"internalConsoleOptions": "neverOpen",
"skipFiles": [
"**/.vscode/server/**",
// "**/node_modules/**",
"<node_internals>/**",
// "**/node_modules/esm/**",
"**/node_modules/debug/**",
"**/node_modules/core-js/**",
"**/node_modules/mjolnir.js/**",
"<node_internals>/internal/buffer",
"<node_internals>/internal/fs/utils",
// "<node_internals>/internal/validators",
],
"env": {
"NODE_NO_WARNINGS": "1",
// "NODE_ENV": "development",
"NODE_ENV": "production",
// "READABLE_STREAM": "disable",
}
},
{
"name": "Debug Demo (launch gdb)",
// hide the individual configurations from the debug dropdown list
"presentation": {
"hidden": true
},
"type": "cppdbg",
"request": "launch",
"stopAtEntry": false,
"externalConsole": false,
// "envFile": "${workspaceFolder}/.env",
"cwd": "${workspaceFolder}/${input:DEMO_NAME}",
"MIMode": "gdb",
"miDebuggerPath": "/usr/bin/gdb",
"setupCommands": [
{
"description": "Enable pretty-printing for gdb",
"text": "-enable-pretty-printing",
"ignoreFailures": true
}
],
"program": "${input:NODE_BINARY}",
"environment": [
{
"name": "NODE_DEBUG",
"value": "1"
},
{
"name": "NODE_NO_WARNINGS",
"value": "1"
},
{
"name": "NODE_ENV",
"value": "production"
},
// { "name": "READABLE_STREAM", "value": "disable" },
],
"args": [
"--inspect=9229",
"--expose-internals",
"--experimental-vm-modules",
"${workspaceFolder}/${input:DEMO_NAME}",
// "${input:DEMO_ARGS}"
],
},
{
"name": "Debug Demo (attach node)",
"type": "node",
"request": "attach",
// hide the individual configurations from the debug dropdown list
"presentation": {
"hidden": true
},
"port": 9229,
"timeout": 60000,
"cwd": "${workspaceFolder}",
"skipFiles": [
"<node_internals>/**",
"${workspaceFolder}/node_modules/**"
],
},
],
"inputs": [
{
"type": "command",
"id": "NODE_BINARY",
"command": "shellCommand.execute",
"args": {
"description": "path to node",
"command": "which node",
"useFirstResult": true,
}
},
{
"id": "DEMO_ARGS",
"type": "promptString",
"description": "Supply additional arguments to the demo (optional)",
"default": "",
},
{
"type": "command",
"id": "DEMO_NAME",
"command": "shellCommand.execute",
"args": {
"description": "Select a demo to debug",
"command": "echo client-server viz-app api-server luma graph spatial xterm $(find modules/demo/deck modules/demo/tfjs modules/demo/ipc modules/demo/ssr modules/demo/sql -maxdepth 2 -type f -name 'package.json' -print0 | grep -z -v node_modules | tr -d '\\0' | sed -r 's@modules/demo/@@g' | sed -r 's@/package.json@ @g') | sort -Vr | sed -r 's@\\s@\\n@g'",
}
},
]
}
| 0 |
rapidsai_public_repos/node/modules/demo
|
rapidsai_public_repos/node/modules/demo/ipc/README.md
|
# Inter Process Communication (IPC) - Depricated
Early demo showing how to use IPC handles from Python with Node.js.
| 0 |
rapidsai_public_repos/node/modules/demo/ipc
|
rapidsai_public_repos/node/modules/demo/ipc/graph/package.json
|
{
"private": true,
"name": "@rapidsai/demo-ipc-graph",
"main": "index.js",
"version": "22.12.2",
"license": "Apache-2.0",
"author": "NVIDIA, Inc. (https://nvidia.com/)",
"maintainers": [
"Paul Taylor <[email protected]>"
],
"bin": "index.js",
"scripts": {
"start": "node --experimental-vm-modules --enable-source-maps --trace-uncaught index.js",
"watch": "find -type f | entr -c -d -r node --experimental-vm-modules --enable-source-maps --trace-uncaught index.js"
},
"dependencies": {
"@deck.gl/core": "8.8.10",
"@deck.gl/react": "8.8.10",
"@luma.gl/core": "8.5.16",
"@luma.gl/gltools": "8.5.16",
"@rapidsai/cuda": "~22.12.2",
"@rapidsai/cudf": "~22.12.2",
"@rapidsai/cugraph": "~22.12.2",
"@rapidsai/deck.gl": "~22.12.2",
"@rapidsai/glfw": "~22.12.2",
"ix": "4.4.1",
"mjolnir.js": "2.7.1",
"react": "17.0.2",
"react-dom": "17.0.2",
"zeromq": "6.0.0-beta.6"
},
"files": [
"src",
"python",
"index.js",
"package.json",
"fa2.py"
]
}
| 0 |
rapidsai_public_repos/node/modules/demo/ipc
|
rapidsai_public_repos/node/modules/demo/ipc/graph/index.js
|
#!/usr/bin/env node
// Copyright (c) 2020-2021, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
module.exports = ({url, ...glfwOptions} = {
title: 'Graph Demo',
visible: true,
transparent: false,
}) => {
return require('@rapidsai/jsdom')
.RapidsJSDOM.fromReactComponent(
'./src/app.jsx',
{
glfwOptions,
// Change cwd to the example dir so relative file paths are resolved
module: {path: __dirname},
},
{url});
};
if (require.main === module) {
const args = process.argv.length === 3 && process.argv[2].includes(' ')
? process.argv[2].split(' ')
: process.argv.slice(2);
const parseArg = (prefix, fallback = '') =>
(args.find((arg) => arg.includes(prefix)) || `${prefix}${fallback}`).slice(prefix.length);
const url = args.find((arg) => arg.includes('tcp://')) || 'tcp://0.0.0.0:6000';
module
.exports({
title: '',
visible: true,
transparent: false,
url: url && require('url').parse(url),
width: parseInt(parseArg('--width=', 800)) | 0,
height: parseInt(parseArg('--height=', 600)) | 0,
})
.window.addEventListener('close', () => process.exit(0), {once: true});
}
| 0 |
rapidsai_public_repos/node/modules/demo/ipc
|
rapidsai_public_repos/node/modules/demo/ipc/graph/fa2.py
|
# Copyright (c) 2020-2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import warnings
warnings.filterwarnings("ignore", category=UserWarning)
warnings.filterwarnings("ignore", category=DeprecationWarning)
import python.test_data as datasets
from python.callback import GraphZmqCallback
import zmq
import cudf
import cugraph
import asyncio
import zmq.asyncio
graph, nodes, edges = datasets.make_synthetic_dataset()
print("num_nodes:", graph.number_of_nodes())
print("num_edges:", graph.number_of_edges())
async def main(zmq_ctx):
def map_positions(pos):
return cudf.DataFrame(pos, columns=["x", "y"]).astype("float32")
callback = GraphZmqCallback(
zmq_ctx=zmq_ctx,
map_positions=map_positions,
nodes=nodes[["id", "color", "size"]],
edges=edges[["edge", "bundle", "color"]],
edge_col_names=["edge", "color", "bundle"],
node_col_names=["id", "color", "size", "x", "y"],
)
cugraph.force_atlas2(
graph,
max_iter=500,
callback=callback,
)
callback.update(msg=b"close")
callback.close()
asyncio.run(main(zmq.Context.instance()))
| 0 |
rapidsai_public_repos/node/modules/demo/ipc/graph
|
rapidsai_public_repos/node/modules/demo/ipc/graph/python/test_data.py
|
# Copyright (c) 2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import cudf
import cugraph
import numpy as np
import pandas as pd
import datetime as dt
from .convert_matrix import from_cudf_edgelist
from .graph_components import (
annotate_nodes,
annotate_edges
)
def make_synthetic_dataset(**kwargs):
kwargs.update(direct=True)
df = cudf.DataFrame.from_pandas(pd.DataFrame({
"src": [0, 1, 2, 3],
"dst": [1, 2, 3, 0],
"colors": [1, 1, 2, 2],
"bool": [True, False, True, True],
"char": ["a", "b", "c", "d"],
"str": ["a", "b", "c", "d"],
"ustr": [u"a", u"b", u"c", u"d"],
"emoji": ["😋", "😋😋", "😋", "😋"],
"int": [0, 1, 2, 3],
"num": [0.5, 1.5, 2.5, 3.5],
"date_str": [
"2018-01-01 00:00:00",
"2018-01-02 00:00:00",
"2018-01-03 00:00:00",
"2018-01-05 00:00:00",
],
"date": [
dt.datetime(2018, 1, 1),
dt.datetime(2018, 1, 1),
dt.datetime(2018, 1, 1),
dt.datetime(2018, 1, 1),
],
"time": [
pd.Timestamp("2018-01-05"),
pd.Timestamp("2018-01-05"),
pd.Timestamp("2018-01-05"),
pd.Timestamp("2018-01-05"),
],
}))
return make_and_shape_hypergraph(df, **kwargs)
def make_and_shape_hypergraph(df, **kwargs):
hyper = cugraph.hypergraph(df, **kwargs)
del hyper["events"]
del hyper["entities"]
SOURCE = kwargs.get("SOURCE", "src")
TARGET = kwargs.get("TARGET", "dst")
NODEID = kwargs.get("NODEID", "node_id")
EVENTID = kwargs.get("EVENTID", "event_id")
CATEGORY = kwargs.get("CATEGORY", "category")
nodes = hyper["nodes"][[NODEID, CATEGORY]]
edges = hyper["edges"][[SOURCE, TARGET]]
# Create graph
graph, nodes, edges = from_cudf_edgelist(edges, SOURCE, TARGET)
nodes["name"] = nodes["node"]
# Add vis components
nodes = annotate_nodes(graph, nodes, edges)
edges = annotate_edges(graph, nodes, edges)
return graph, nodes, edges
| 0 |
rapidsai_public_repos/node/modules/demo/ipc/graph
|
rapidsai_public_repos/node/modules/demo/ipc/graph/python/convert_matrix.py
|
# Copyright (c) 2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import cudf
import cugraph
import numpy as np
from cugraph.structure.graph_implementation import simpleGraphImpl
EdgeList = simpleGraphImpl.EdgeList
def from_cudf_edgelist(df, source="src", target="dst"):
"""
Construct an enhanced graph from a cuDF edgelist that doesn't collapse
duplicate edges and includes columns for node degree and edge bundle.
"""
def drop_index(df):
return df.reset_index(drop=True)
def arange(size, dtype="uint32"):
return cudf.core.index.RangeIndex(0, size).to_series().astype(dtype)
def smoosh(df):
size = sum([df[x].dtype.itemsize for x in df])
data = drop_index(drop_index(df).stack()).data
dtype = cudf.utils.dtypes.min_unsigned_type(0, size*8)
return cudf.core.column.NumericalColumn(data, dtype=dtype)
def compute_edge_bundles(edges, id_, src, dst):
edges = cudf.DataFrame({
"eid": drop_index(edges[id_]),
"src": drop_index(edges[src]),
"dst": drop_index(edges[dst]),
})
# Create a duplicate table with:
# * all the [src, dst] in the upper half
# * all the [dst, src] pairs as the lower half, but flipped so dst->src, src->dst
bundles = drop_index(cudf.DataFrame({
"eid": cudf.concat([edges["eid"], edges["eid"]], ignore_index=True),
# concat [src, dst] into the "src" column
"src": cudf.concat([edges["src"], edges["dst"]], ignore_index=True),
# concat [dst, src] into the "dst" column
"dst": cudf.concat([edges["dst"], edges["src"]], ignore_index=True),
}))
# Group the duplicated edgelist by [src, dst] and get the min edge id.
# Since all the [dst, src] pairs have been flipped to [src, dst], each
# edge with the same [src, dst] or [dst, src] vertices will be assigned
# the same bundle id
bundles = bundles \
.groupby(["src", "dst"]).agg({"eid": "min"}) \
.reset_index().rename({"eid": "bid"}, axis=1, copy=False)
# Join the bundle ids into the edgelist
edges = edges.merge(bundles, on=["src", "dst"], how="inner")
# Determine each bundle"s size and relative offset
lengths = edges["bid"].value_counts(sort=False).sort_index()
bundles = lengths.index.to_series().unique()
offsets = lengths.cumsum() - lengths
# Join the bundle segment lengths + offsets into the edgelist
edges = edges.merge(cudf.DataFrame({
"bid": drop_index(bundles.astype(np.uint32)),
"start": drop_index(offsets.astype(np.uint32)),
"count": drop_index(lengths.astype(np.uint32)),
}), on="bid", how="left")
# Determine each edge's index relative to its bundle
edges = drop_index(edges.sort_values(by="bid"))
edges["index"] = edges.index.to_series() - edges["start"]
edges["index"] = edges["index"].astype(np.uint32)
# Re-sort the edgelist by edge id and cleanup
edges = drop_index(edges.sort_values(by="eid"))
edges = edges.rename({"eid": "id"}, axis=1, copy=False)
edges = edges[["id", "src", "dst", "index", "count"]]
return {
"edge": smoosh(edges[["src", "dst"]]).astype(np.uint64),
"bundle": smoosh(edges[["index", "count"]]).astype(np.uint64),
}
def make_nodes(df, src, dst):
nodes = drop_index(df[src].append(df[dst], ignore_index=True).unique())
ids = drop_index(cudf.Series(nodes.factorize()[0])).astype(np.uint32)
return drop_index(cudf.DataFrame({"id": ids, "node": nodes}).sort_values(by="id"))
def make_edges(df, src, dst, nodes):
def join(edges, nodes, col):
edges = edges.set_index(col, drop=True)
nodes = nodes.set_index("node", drop=True)
edges = edges.join(nodes).sort_values(by="eid")
edges = edges.rename({"id": col}, axis=1, copy=False)
return drop_index(edges)
edges = df.reset_index().rename({"index": "eid"}, axis=1, copy=False)
edges = join(join(edges.assign(src=df[src], dst=df[dst]), nodes, "src"), nodes, "dst")
edges = edges.assign(**compute_edge_bundles(edges, "eid", "src", "dst"))
return drop_index(edges.rename({"eid": "id"}, axis=1, copy=False))
df = drop_index(df)
nodes = make_nodes(df, source, target)
edges = make_edges(df, source, target, nodes)
graph = cugraph.MultiGraph(directed=True)
graph._Impl = simpleGraphImpl(graph.graph_properties)
graph._Impl.edgelist = EdgeList(edges["src"], edges["dst"])
degree = graph._Impl.degree().set_index("vertex")
nodes = nodes.set_index("id", drop=False).join(degree)
return graph, drop_index(nodes.sort_index()), edges
| 0 |
rapidsai_public_repos/node/modules/demo/ipc/graph
|
rapidsai_public_repos/node/modules/demo/ipc/graph/python/callback.py
|
# Copyright (c) 2020-2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import ctypes
import rmm
import zmq
import cudf
import cupy
import asyncio
import cugraph
import traceback
import numpy as np
from numba import cuda
from numba.cuda import MemoryPointer
from cugraph.internals import GraphBasedDimRedCallback
class GraphZmqCallback(GraphBasedDimRedCallback):
def __init__(
self,
zmq_ctx=None,
zmq_port=6000,
zmq_host='0.0.0.0',
zmq_protocol='tcp://',
edges=None, edge_col_names=['bundle', 'color', 'edge'],
nodes=None, node_col_names=['x', 'y', 'color', 'size'],
map_positions=lambda p: cudf.DataFrame.from_gpu_matrix(p, columns=['x', 'y'])
):
super(GraphZmqCallback, self).__init__()
self._ctx = zmq_ctx
self._edge_cols = dict()
self._node_cols = dict()
self._edge_ipch = dict()
self._node_ipch = dict()
self._noop_df = cudf.DataFrame()
self._map_positions = map_positions
self._edge_col_names = list(edge_col_names)
self._node_col_names = list(node_col_names)
self._edges = self._noop_df if edges is None else edges
self._nodes = self._noop_df if nodes is None else nodes
self._num_nodes = len(self._nodes)
self._num_edges = len(self._edges)
self._pub_url = '{0}{1}:{2}'.format(zmq_protocol, zmq_host, zmq_port)
self._cmd_url = '{0}{1}:{2}'.format(zmq_protocol, zmq_host, zmq_port + 1)
self._connected = False
def on_preprocess_end(self, positions):
try:
self.connect()
edges = self._edges
nodes = self._nodes.assign(**dict(
self._map_positions(positions)[:self._num_nodes].iteritems()
))
self._nodes, self._edges = (self._noop_df, self._noop_df)
self.update(edges=edges, nodes=nodes, **self._get_bbox(nodes))
except Exception:
print('on_preprocess_end err:', traceback.format_exc())
def on_epoch_end(self, positions):
try:
self.connect()
nodes = self._map_positions(positions)[:self._num_nodes]
self.update(nodes=nodes, **self._get_bbox(nodes))
except Exception:
print('on_epoch_end err:', traceback.format_exc())
def on_train_end(self, positions):
try:
self.connect()
nodes = self._map_positions(positions)[:self._num_nodes]
self.update(nodes=nodes, **self._get_bbox(nodes))
except Exception:
print('on_train_end err:', traceback.format_exc())
def connect(self):
if not self._connected:
self._pub = self._ctx.socket(zmq.PUSH)
self._cmd = self._ctx.socket(zmq.REP)
self._pub.set_hwm(0)
self._cmd.set_hwm(0)
self._pub.bind(self._pub_url)
self._cmd.bind(self._cmd_url)
print('Waiting for subscriber to connect at {0}...'.format(self._pub_url))
while self._cmd.recv() != b'ready': pass
self._connected = True
self._cmd.send_json({
'num_edges': self._num_edges,
'num_nodes': self._num_nodes,
})
return self
def update(self, edges=None, nodes=None, msg=b'', **kwargs):
if not self._connected:
return self
edges = self._noop_df if edges is None else edges
nodes = self._noop_df if nodes is None else nodes
edges = self._filter(edges, self._edge_col_names)
nodes = self._filter(nodes, self._node_col_names)
edges = self._filter(self._copy(self._edge_cols, edges), edges.keys())
nodes = self._filter(self._copy(self._node_cols, nodes), nodes.keys())
edge_ipchs = self._store_ipchs(self._edge_ipch, edges)
node_ipchs = self._store_ipchs(self._node_ipch, nodes)
kwargs.update(edge=list(map(self._ipch_to_msg(), edge_ipchs.values())))
kwargs.update(node=list(map(self._ipch_to_msg(), node_ipchs.values())))
self._pub.send_json(kwargs)
while self._cmd.recv() != b'ready': pass
self._cmd.send(msg)
self._edge_ipch.clear()
self._node_ipch.clear()
return self
def close(self):
if self._connected:
self._pub.close()
self._cmd.close()
self._connected = False
self._pub, self._cmd = (None, None)
def _ipch_to_msg(self):
def tok_to_msg(tok):
return {'name': tok['name'], 'data': tok['ary']}
return tok_to_msg
def _sr_data_to_device_ary(self, sr):
size = sr.data.size // sr.dtype.itemsize
return device_array_from_ptr(sr.data.ptr, size, dtype=sr.dtype)
def _sr_data_to_ipc_handle(self, sr):
return self._sr_data_to_device_ary(sr).get_ipc_handle()
def _filter(self, src, names):
dst = dict()
for col in names:
if col in src:
dst[col] = src[col]
return dst
def _copy(self, dst, src):
for col in src.keys():
if col in dst:
dst_col = self._sr_data_to_device_ary(dst[col])
src_col = self._sr_data_to_device_ary(src[col])
cupy.copyto(cupy.asarray(dst_col), cupy.asarray(src_col))
else:
dst[col] = src[col].copy(True)
return dst
def _store_ipchs(self, dst, src):
for col in src.keys():
if col not in dst:
dst[col] = self._make_ipch(src, col)
return dst
def _make_ipch(self, df, name):
col = None if name not in df else df[name]
if col is not None and len(col) > 0:
hnd = self._sr_data_to_ipc_handle(col)
ary = np.array(hnd._ipc_handle.handle)
return {'name': name, 'handle': hnd, 'ary': ary.tolist()}
return None
def _get_bbox(self, positions):
bbox = dict(x_min=0, x_max=0, y_min=0, y_max=0)
bbox.update(num_edges=self._num_edges)
bbox.update(num_nodes=self._num_nodes)
if 'x' in positions:
bbox.update(x_min=(0 + positions['x'].min()))
bbox.update(x_max=(0 + positions['x'].max()))
if 'y' in positions:
bbox.update(y_min=(0 + positions['y'].min()))
bbox.update(y_max=(0 + positions['y'].max()))
return bbox
def _blocking_wait(self, *tasks):
tasks = asyncio.gather(*tasks)
try:
loop = asyncio.get_running_loop()
loop.run_until_complete(tasks)
except RuntimeError:
loop = asyncio.get_event_loop()
loop.run_until_complete(tasks)
loop.close()
def device_array_from_ptr(ptr, nelem, dtype=np.float, finalizer=None):
"""
device_array_from_ptr(ptr, size, dtype=np.float, stream=0)
Create a Numba device array from a ptr, size, and dtype.
"""
# Handle Datetime Column
if dtype == np.datetime64:
dtype = np.dtype("datetime64[ms]")
else:
dtype = np.dtype(dtype)
elemsize = dtype.itemsize
datasize = elemsize * nelem
shape = (nelem,)
strides = (elemsize,)
# note no finalizer -- freed externally!
ctx = cuda.current_context()
ptr = ctypes.c_uint64(int(ptr))
mem = MemoryPointer(ctx, ptr, datasize, finalizer=finalizer)
return cuda.cudadrv.devicearray.DeviceNDArray(
shape, strides, dtype, gpu_data=mem
)
| 0 |
rapidsai_public_repos/node/modules/demo/ipc/graph
|
rapidsai_public_repos/node/modules/demo/ipc/graph/python/graph_components.py
|
# Copyright (c) 2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import cudf
import cugraph
import numpy as np
from math import ceil
def annotate_nodes(graph, nodes, edges):
return nodes.assign(
# add node names
name=nodes["name"] if "name" in nodes else nodes["id"],
# add node sizes
size=(nodes["degree"].scale() * 254 + 1).astype(np.uint8),
# add node colors
color=category_to_color(
cugraph.spectralBalancedCutClustering(graph, 9)
.sort_values(by="vertex").reset_index(drop=True)["cluster"],
color_palette=[
# https://colorbrewer2.org/#type=diverging&scheme=Spectral&n=9
4292165199, 4294208835,
4294815329, 4294893707,
4294967231, 4293326232,
4289453476, 4284924581,
4281501885
])
)
def annotate_edges(graph, nodes, edges):
def drop_index(df):
return df.reset_index(drop=True)
def smoosh(df):
size = sum([df[x].dtype.itemsize for x in df])
data = drop_index(drop_index(df).stack()).data
dtype = cudf.utils.dtypes.min_unsigned_type(0, size*8)
return cudf.core.column.NumericalColumn(data, dtype=dtype)
def edge_colors(nodes, edges, col):
edges = edges[["id", col]].set_index(col, drop=True)
nodes = nodes[["id", "color"]].set_index("id", drop=True)
return drop_index(edges.join(nodes).sort_values(by="id")["color"])
return edges.assign(
# add edge names
name=edges["name"] if "name" in edges else edges["id"],
# add edge colors
color=smoosh(cudf.DataFrame({
"src": edge_colors(nodes, edges, "src"),
"dst": edge_colors(nodes, edges, "dst"),
})))
# from random import shuffle
default_palette = [
# https://colorbrewer2.org/#type=diverging&scheme=Spectral&n=11
4288545090, 4292165199,
4294208835, 4294815329,
4294893707, 4294967231,
4293326232, 4289453476,
4284924581, 4281501885,
4284370850
# -12451426,-11583787,-12358156,-10375427,
# -7610114,-4194305,-6752794,-5972565,
# -5914010,-4356046,-6140066
]
# shuffle(color_palette)
def category_to_color(categories, color_palette=None):
if color_palette is None:
color_palette = default_palette
color_indices = cudf.Series(categories)
color_palette = cudf.Series(color_palette)
if color_indices.dtype.type != np.uint32:
color_indices = cudf.Series(categories.factorize()[0]).astype(np.uint32)
color_palettes = []
num_color_ids = color_indices.max() + 1
for i in range(ceil(num_color_ids / len(color_palette))):
color_palettes.append(color_palette)
return cudf.Series(cudf.core.column.build_categorical_column(
ordered=True,
codes=color_indices._column,
categories=cudf.concat(color_palettes)[:num_color_ids],
).as_numerical_column(dtype=np.uint32))
| 0 |
rapidsai_public_repos/node/modules/demo/ipc/graph
|
rapidsai_public_repos/node/modules/demo/ipc/graph/src/index.js
|
#!/usr/bin/env node
// Copyright (c) 2020, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import * as React from 'react';
import {render} from 'react-dom';
import App from './app';
export default App;
if (process.env.REACT_APP_ENVIRONMENT === 'browser') {
render(
<React.StrictMode>
<App />
</React.StrictMode>,
document.getElementById('root')
);
}
| 0 |
rapidsai_public_repos/node/modules/demo/ipc/graph
|
rapidsai_public_repos/node/modules/demo/ipc/graph/src/loader.js
|
// Copyright (c) 2020, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import {IpcMemory, Uint8Buffer} from '@rapidsai/cuda';
import {flatMap} from 'ix/asynciterable/operators/flatmap';
import {takeWhile} from 'ix/asynciterable/operators/takewhile';
import {pipe} from 'ix/asynciterable/pipe';
import * as zmq from 'zeromq';
const edgeBufferNames = new Set(['edge', 'color', 'bundle']);
const nodeBufferNames = new Set(['id', 'color', 'size', 'x', 'y']);
export default async function* loadGraphData(props = {}) {
const ipcHandles = new zmq.Pull();
const ipcRequests = new zmq.Request();
const {protocol, hostname, port} = props.url;
ipcHandles.connect(`${protocol}//${hostname}:${+ port + 0}`);
ipcRequests.connect(`${protocol}//${hostname}:${+ port + 1}`);
const next = () => request(ipcRequests, 'ready');
let {numEdges = 0, numNodes = 0} = await next();
yield* pipe(ipcHandles,
flatMap(async function*(buf) {
const msg = tryJSONParse(buf);
numEdges = Math.max(numEdges, msg.num_edges || 0);
numNodes = Math.max(numNodes, msg.num_nodes || 0);
const edges = openMemHandles(msg.edge, edgeBufferNames);
const nodes = openMemHandles(msg.node, nodeBufferNames);
const bbox = [msg.x_min, msg.x_max, msg.y_min, msg.y_max];
const graph = createGraph(edges, nodes, numEdges, numNodes);
const {promise, resolve: onAfterRender} = promiseSubject();
yield {graph, bbox, onAfterRender};
await promise.then(() => closeMemHandles([edges, nodes]));
yield {graph, bbox};
}),
takeWhile(async (_, i) => i % 2 === 0 || ((await next()) !== 'close')));
[ipcHandles, ipcRequests].forEach(sock => sock.close());
}
async function request(sock, req = 'ready') {
const resp = await sock.send(req).then(() => sock.receive()).then((resp) => `${resp}`);
switch (resp) {
case '':
case 'close': return resp;
default: return tryJSONParse(resp);
}
}
const createGraph = (edges, nodes, numEdges, numNodes) => ({
numNodes,
numEdges,
nodeRadiusScale: 1 / 75,
// nodeRadiusScale: 1/255,
nodeRadiusMinPixels: 5,
nodeRadiusMaxPixels: 150,
data: (edges.size + nodes.size <= 0) ? {} : {
edges: {
offset: 0,
length: numEdges,
attributes: {
edgeList: getBuffer(edges, 'edge', numEdges * 8),
edgeColors: getBuffer(edges, 'color', numEdges * 8),
edgeBundles: getBuffer(edges, 'bundle', numEdges * 8),
}
},
nodes: {
offset: 0,
length: numNodes,
attributes: {
nodeRadius: getBuffer(nodes, 'size', numNodes * 1),
nodeXPositions: getBuffer(nodes, 'x', numNodes * 4),
nodeYPositions: getBuffer(nodes, 'y', numNodes * 4),
nodeFillColors: getBuffer(nodes, 'color', numNodes * 4),
nodeElementIndices: getBuffer(nodes, 'id', numNodes * 4),
}
},
},
});
function getBuffer(map, key, size) {
return map.has(key) ? map.get(key).subarray(0, size) : undefined;
}
function tryJSONParse(message = '') {
try {
return JSON.parse(message || '{}');
} catch (e) { return {}; }
}
function promiseSubject() {
let resolve, reject;
let promise = new Promise((r1, r2) => {
resolve = r1;
reject = r2;
});
return {promise, resolve, reject};
}
function openMemHandle(handle) { return new Uint8Buffer(new IpcMemory(handle)); }
function openMemHandles(handles, names) {
return (Array.isArray(handles) ? handles : [])
.filter(Boolean)
.filter(({name, data = []}) => data.length > 0 && names.has(name))
.reduce((xs, {name, data}) => xs.set(name, openMemHandle(data)), new Map());
}
function closeMemHandle({buffer}) {
try {
buffer.close();
} catch (e) {}
}
function closeMemHandles(maps) {
return maps.forEach((handles) => handles.forEach(closeMemHandle));
}
| 0 |
rapidsai_public_repos/node/modules/demo/ipc/graph
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rapidsai_public_repos/node/modules/demo/ipc/graph/src/app.jsx
|
// Copyright (c) 2020-2021, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import { log as deckLog } from '@deck.gl/core';
import { log as lumaLog } from '@luma.gl/gltools';
deckLog.level = 0;
lumaLog.level = 0;
deckLog.enable(false);
lumaLog.enable(false);
import { OrthographicView } from '@deck.gl/core';
import { TextLayer } from '@deck.gl/layers';
import DeckGL from '@deck.gl/react';
import { createDeckGLReactRef } from '@rapidsai/deck.gl';
import { as as asAsyncIterable } from 'ix/asynciterable/as';
import { takeWhile } from 'ix/asynciterable/operators/takewhile';
import * as React from 'react';
import { GraphLayer } from '@rapidsai/deck.gl';
const composeFns = (fns) => function (...args) { fns.forEach((fn) => fn && fn.apply(this, args)); }
import loadGraphData from './loader';
export class App extends React.Component {
constructor(props, context) {
if (props.serverRendered) { Object.assign(props, createDeckGLReactRef()); }
super(props, context);
this._isMounted = false;
this._deck = React.createRef();
this.state = { graph: {}, autoCenter: true };
}
componentWillUnmount() { this._isMounted = false; }
componentDidMount() {
this._isMounted = true;
asAsyncIterable(loadGraphData(this.props))
.pipe(takeWhile(() => this._isMounted))
.forEach((state) => this.setState(state));
}
render() {
const { onAfterRender, ...props } = this.props;
const { params = {}, selectedParameter } = this.state;
if (this.state.autoCenter && this.state.bbox) {
const viewState = centerOnBbox(this.state.bbox);
viewState && (props.initialViewState = viewState);
}
return (
<DeckGL {...props}
ref={this._deck}
onViewStateChange={() => this.setState({
autoCenter: params.autoCenter ? (params.autoCenter.val = false) : false
})}
_framebuffer={props.getRenderTarget ? props.getRenderTarget() : null}
onAfterRender={composeFns([onAfterRender, this.state.onAfterRender])}>
<GraphLayer
edgeStrokeWidth={2} edgeOpacity={.5} nodesStroked={true} nodeFillOpacity={
.5} nodeStrokeOpacity={.9} {
...this.state.graph
} />
{selectedParameter !== undefined ?
<TextLayer
sizeScale={1}
opacity={0.9}
maxWidth={2000}
pickable={false}
backgroundColor={[46, 46, 46]}
getTextAnchor='start'
getAlignmentBaseline='top'
getSize={(d) => d.size}
getColor={(d) => d.color}
getPixelOffset={(d) => [0, 0]}
getPosition={(d) => this._deck.current.viewports[0].unproject(d.position)}
data={Object.keys(params).map((key, i) => ({
size: 15,
text: i === selectedParameter
? `(${i}) ${params[key].name}: ${params[key].val}`
: ` ${i} ${params[key].name}: ${params[key].val}`,
color: [255, 255, 255],
position: [0, i * 15],
}))}
/> : null
}
</DeckGL>
);
}
}
export default App;
App.defaultProps = {
controller: { keyboard: false },
onHover: onDragEnd,
onDrag: onDragStart,
onDragEnd: onDragEnd,
onDragStart: onDragStart,
initialViewState: {
zoom: 1,
target: [0, 0, 0],
minZoom: Number.NEGATIVE_INFINITY,
maxZoom: Number.POSITIVE_INFINITY,
},
views: [
new OrthographicView({
clear: {
color: [...[46, 46, 46].map((x) => x / 255), 1]
}
})
]
};
function onDragStart({ index }, { target }) {
if (target) { [window, target].forEach((element) => (element.style || {}).cursor = 'grabbing'); }
}
function onDragEnd({ index }, { target }) {
if (target) {
[window, target].forEach((element) => (element.style || {}).cursor =
~index ? 'pointer' : 'default');
}
}
function centerOnBbox([minX, maxX, minY, maxY]) {
const width = maxX - minX, height = maxY - minY;
if ((width === width) && (height === height)) {
const { outerWidth, outerHeight, devicePixelRatio } = window;
const world = (outerWidth > outerHeight ? width : height);
const screen = (outerWidth > outerHeight ? outerWidth : outerHeight) / devicePixelRatio;
const zoom = world > screen ? -(world / screen) : (screen / world);
return {
minZoom: Number.NEGATIVE_INFINITY,
maxZoom: Number.POSITIVE_INFINITY,
zoom: Math.log2(Math.abs(zoom)) * Math.sign(zoom),
target: [minX + (width * .5), minY + (height * .5), 0],
};
}
}
| 0 |
rapidsai_public_repos/node/modules/demo/ipc
|
rapidsai_public_repos/node/modules/demo/ipc/umap/package.json
|
{
"private": true,
"name": "@rapidsai/demo-ipc-umap",
"main": "index.js",
"version": "22.12.2",
"license": "Apache-2.0",
"author": "NVIDIA, Inc. (https://nvidia.com/)",
"maintainers": [
"Paul Taylor <[email protected]>"
],
"bin": "index.js",
"scripts": {
"start": "node --experimental-vm-modules --enable-source-maps --trace-uncaught index.js",
"watch": "find -type f | entr -c -d -r node --experimental-vm-modules --enable-source-maps --trace-uncaught index.js"
},
"dependencies": {
"@deck.gl/core": "8.8.10",
"@deck.gl/layers": "8.8.10",
"@luma.gl/constants": "8.5.16",
"@luma.gl/core": "8.5.16",
"@rapidsai/cuda": "~22.12.2",
"@rapidsai/jsdom": "~22.12.2",
"mjolnir.js": "2.7.1",
"zeromq": "6.0.0-beta.6"
},
"files": [
"layers",
"app.js",
"index.js",
"README.md",
"package.json",
"umap.py"
]
}
| 0 |
rapidsai_public_repos/node/modules/demo/ipc
|
rapidsai_public_repos/node/modules/demo/ipc/umap/index.js
|
#!/usr/bin/env node
// Copyright (c) 2020-2021, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
module.exports = (glfwOptions = {
title: 'UMAP Demo',
visible: true,
transparent: false,
}) => {
const {RapidsJSDOM} = require('@rapidsai/jsdom');
const jsdom = new RapidsJSDOM({
glfwOptions,
// Change cwd to the example dir so relative file paths are resolved
module: {path: __dirname}
});
jsdom.window.evalFn(() => require(`./app.js`));
return jsdom;
};
if (require.main === module) {
module.exports().window.addEventListener('close', () => process.exit(0), {once: true});
}
| 0 |
rapidsai_public_repos/node/modules/demo/ipc
|
rapidsai_public_repos/node/modules/demo/ipc/umap/umap.py
|
import os
import cupy
import ctypes
import numba
import numpy as np
import zmq
import traceback
from cudf.core.buffer import Buffer
from cudf.core.index import RangeIndex
from cudf.core.column import CategoricalColumn
from cuml.internals import GraphBasedDimRedCallback
# GPU UMAP
import cudf
from cuml.manifold.umap import UMAP as cumlUMAP
import warnings
warnings.filterwarnings("ignore", category=FutureWarning)
warnings.filterwarnings("ignore", category=DeprecationWarning)
if not os.path.exists('data/fashion'):
print("error, data is missing!")
# https://github.com/zalandoresearch/fashion-mnist/blob/master/utils/mnist_reader.py
def load_mnist(path, kind='train'):
import os
import gzip
import numpy as np
"""Load MNIST data from `path`"""
labels_path = os.path.join(path,
'%s-labels-idx1-ubyte.gz'
% kind)
images_path = os.path.join(path,
'%s-images-idx3-ubyte.gz'
% kind)
with gzip.open(labels_path, 'rb') as lbpath:
labels = np.frombuffer(lbpath.read(), dtype=np.uint8,
offset=8)
with gzip.open(images_path, 'rb') as imgpath:
images = np.frombuffer(imgpath.read(), dtype=np.uint8,
offset=16).reshape(len(labels), 784)
return images, labels
train, train_labels = load_mnist('data/fashion', kind='train')
test, test_labels = load_mnist('data/fashion', kind='t10k')
data = np.array(np.vstack([train, test]), dtype=np.float64) / 255.0
target = np.array(np.hstack([train_labels, test_labels]))
record_data = (('fea%d'%i, data[:,i]) for i in range(data.shape[1]))
gdf = cudf.DataFrame(dict(record_data))
classes = [
'T-shirt/top',
'Trouser',
'Pullover',
'Dress',
'Coat',
'Sandal',
'Shirt',
'Sneaker',
'Bag',
'Ankle boot']
edge_col_names = ['color', 'edge', 'id']
node_col_names = ['position', 'size', 'color', 'edge_offset']
def filled_series(size, dtype, fill_value=0):
sr = RangeIndex(0, size).to_series()
sr[0:size] = fill_value
return sr.astype(dtype)
def to_series_view(mem, dtype):
ptr = numba.cuda.cudadrv.driver.device_pointer(mem)
buf = Buffer(ptr, mem.gpu_data.size)
return cudf.Series(buf, dtype=dtype)
def create_initial_nodes_df(labels):
color_indices = cudf.Series(labels.astype(np.int8))
color_palette = cudf.Series([
-12451426,-11583787,-12358156,-10375427,
-7610114,-4194305,-6752794,-5972565,
-5914010,-4356046,-6140066
])[:color_indices.max() + 1]
dtype = cudf.core.dtypes.CategoricalDtype(ordered=True, categories=color_palette)
color = CategoricalColumn(children=(color_indices._column,), dtype=dtype)
color = cudf.Series(color.as_numerical_column(dtype=np.int32))
return cudf.DataFrame({
'color': color,
'size': filled_series(len(color), 'int8', 20),
'edge_offset': filled_series(len(color), 'int64', 0),
})
def create_node_positions_df(embedding):
return cudf.DataFrame({
'position': to_series_view(embedding, np.float32) * 1000
})
def get_df(src, colnames):
dst = cudf.DataFrame()
for col in colnames:
if col in src:
dst[col] = src[col]
return dst
def make_ipch(cols, name):
if name in cols and len(cols[name]) > 0:
hnd = sr_data_to_ipc_handle(cols[name])
ary = np.array(hnd._ipc_handle.handle)
return {'name': name, 'handle': hnd, 'ary': ary.tolist()}
return None
def ipch_to_msg(tok):
return {'name': tok['name'], 'data': tok['ary']}
def sr_data_to_device_ary(sr):
size = sr.data.size // sr.dtype.itemsize
return device_array_from_ptr(sr.data.ptr, size, dtype=sr.dtype)
def sr_data_to_ipc_handle(sr):
return sr_data_to_device_ary(sr).get_ipc_handle()
def copy_cols(dst, src):
for col in src.columns:
if col in dst:
cupy.copyto(
cupy.asarray(sr_data_to_device_ary(dst[col])),
cupy.asarray(sr_data_to_device_ary(src[col])))
else:
dst[col] = src[col].copy(True)
return dst
def store_ipchs(dst, src):
for col in src.keys():
if col not in dst:
dst[col] = make_ipch(src, col)
return dst
def device_array_from_ptr(ptr, nelem, dtype=np.float, finalizer=None):
"""
device_array_from_ptr(ptr, size, dtype=np.float, stream=0)
Create a Numba device array from a ptr, size, and dtype.
"""
# Handle Datetime Column
if dtype == np.datetime64:
dtype = np.dtype("datetime64[ms]")
else:
dtype = np.dtype(dtype)
elemsize = dtype.itemsize
datasize = elemsize * nelem
shape = (nelem,)
strides = (elemsize,)
# note no finalizer -- freed externally!
ctx = numba.cuda.current_context()
ptr = ctypes.c_uint64(int(ptr))
mem = numba.cuda.MemoryPointer(ctx, ptr, datasize, finalizer=finalizer)
return numba.cuda.cudadrv.devicearray.DeviceNDArray(
shape, strides, dtype, gpu_data=mem
)
class UmapZmqCallback(GraphBasedDimRedCallback):
def __init__(self, zmq_context):
super(UmapZmqCallback, self).__init__()
self._ctx = zmq_context
self._edge_cols = dict()
self._node_cols = dict()
self._edge_ipch = dict()
self._node_ipch = dict()
self._pub_port = 6000
self._cmd_port = self._pub_port + 1
self._pub = self._ctx.socket(zmq.PUSH)
self._cmd = self._ctx.socket(zmq.REP)
self._pub.set_hwm(0)
self._cmd.set_hwm(0)
pub_url = 'tcp://{0}:{1}'.format('0.0.0.0', self._pub_port)
cmd_url = 'tcp://{0}:{1}'.format('0.0.0.0', self._cmd_port)
self._pub.bind(pub_url)
self._cmd.bind(cmd_url)
def on_preprocess_end(self, embedding):
try:
self.connect()
self.update(nodes=create_initial_nodes_df(target))
except Exception:
print('on_preprocess_end err:', traceback.format_exc())
def on_epoch_end(self, embedding):
try:
self.update(nodes=create_node_positions_df(embedding))
except Exception:
print('on_epoch_end err:', traceback.format_exc())
def on_train_end(self, embedding):
try:
self.update(nodes=create_node_positions_df(embedding))
self.close()
except Exception:
print('on_train_end err:', traceback.format_exc())
def connect(self):
print('Waiting for subscriber to connect at tcp://{0}:{1}...'
.format('0.0.0.0', self._pub_port))
while self._cmd.recv() != b'ready':
pass
self._cmd.send(b'')
return self
def update(self, edges=None, nodes=None):
if self._pub.closed:
return self
edges = get_df(cudf.DataFrame() if edges is None else edges, edge_col_names)
nodes = get_df(cudf.DataFrame() if nodes is None else nodes, node_col_names)
edge_ipchs = store_ipchs(self._edge_ipch, copy_cols(self._edge_cols, edges))
node_ipchs = store_ipchs(self._node_ipch, copy_cols(self._node_cols, nodes))
self._pub.send_json({
'edge': list(map(ipch_to_msg, edge_ipchs.values())),
'node': list(map(ipch_to_msg, node_ipchs.values())),
})
while self._cmd.recv() != b'ready':
pass
self._cmd.send(b'')
# self._edge_ipch.clear()
# self._node_ipch.clear()
return self
def close(self):
self._pub.close()
self._cmd.close()
self._ctx.term()
def do_umap():
cumlUMAP(
n_neighbors=5,
init="spectral",
callback=UmapZmqCallback(zmq.Context.instance())
).fit_transform(gdf)
do_umap()
| 0 |
rapidsai_public_repos/node/modules/demo/ipc
|
rapidsai_public_repos/node/modules/demo/ipc/umap/README.md
|
```shell
$ docker run --rm -it \
--network=host -w /rapids/notebooks \
-v "$PWD/umap.py:/rapids/notebooks/umap.py" \
rapidsai/rapidsai-dev-nightly:21.08-cuda11.2-devel-ubuntu20.04-py3.8
\# python umap.py
```
| 0 |
rapidsai_public_repos/node/modules/demo/ipc
|
rapidsai_public_repos/node/modules/demo/ipc/umap/app.js
|
// Copyright (c) 2020-2021, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import {COORDINATE_SYSTEM, Deck, log as deckLog, OrthographicView} from '@deck.gl/core';
import {IpcMemory, Uint8Buffer} from '@rapidsai/cuda';
import Url from 'url';
import * as zmq from 'zeromq';
import ArrowGraphLayer from './layers/arrow-graph-layer';
let numNodes = 0;
let numEdges = 0;
let drawEdges = null;
let graphVersion = 0;
let redrawTimeout = null;
let onAfterRenderPromise = null;
const deck = new Deck({
width: '100%',
height: '100%',
controller: true,
initialViewState: {target: [0, 0, 0], zoom: -5.2},
views: new OrthographicView({controller: true}),
onViewStateChange: ({viewState}) => redraw({viewState, drawEdges})
});
window._inputEventTarget = deck.canvas;
// const useTestData = true;
const useTestData = false;
(useTestData ? localRenderLoop() : remoteRenderLoop())
.catch((e) => console.error('Main loop error:', e) || process.exit(1));
async function localRenderLoop() {
await Promise.resolve().then(() => {
const r = 5;
const d = r * 2;
const xOff = 100;
const yOff = 100;
const c = [0xFFFFFFFF, 0xFFFF0000, 0xFF00FF00, 0xFF0000FF];
const edgeUpdates = [(() => {
const edges = [
[0, 1],
[0, 2],
[0, 3],
[1, 0],
[1, 2],
[1, 3],
[1, 3],
[2, 0],
[2, 1],
[2, 3],
[3, 1],
[3, 1],
[3, 2],
[3, 0],
[3, 0],
];
const bundles = (() => {
const {keys, offsets, lengths} = edges.reduce(({keys, offsets, lengths}, e, i) => {
const k = `${e.sort((a, b) => a - b)}`;
lengths[k] = (lengths[k] || 0) + 1;
offsets[i] = (lengths[k] - 1);
keys[i] = k;
return {keys, offsets, lengths};
}, {keys: [], offsets: [], lengths: {}});
return keys.map((k, i) => [offsets[i], lengths[k]]);
})();
return {
offset: 0,
edge: Uint32Array.from(edges.flatMap((e) => e)),
bundle: Uint32Array.from(bundles.flatMap((b) => b)),
color: Uint32Array.from(edges.flatMap((e) => e).map((n) => c[n]))
};
})()];
const nodeUpdates = [(() => {
return {
offset: 0, position: Float32Array.from([
// x, y
(xOff * +0),
(yOff * +0) + d, // center (white)
(xOff * +1) + d,
(yOff * +1) - d, // bottom right (blue)
(xOff * -1) - d,
(yOff * +1) - d, // bottom left (green)
(xOff * +0),
(yOff * -1) - d, // top middle (red)
]),
size: Uint8Array.from([r, r, r, r]), color: Uint32Array.from(c),
}
})()];
numEdges = edgeUpdates[0].length = edgeUpdates[0].edge.length / 2;
numNodes = nodeUpdates[0].length = nodeUpdates[0].position.length;
// console.log({
// edges: edgeUpdates[0],
// nodes: nodeUpdates[0],
// });
return redraw(
{nodeUpdates, edgeUpdates, drawEdges: drawEdges = true, graphVersion: ++graphVersion});
});
}
async function remoteRenderLoop() {
const mapToObject = (m) => [...m.entries()].reduce((xs, [k, v]) => ({...xs, [k]: v}), {});
const loadIpcHandle = (handle) => new Uint8Buffer(new IpcMemory(handle));
const loadIpcHandles = (handles, names) =>
handles
.filter(Boolean)
// .filter(({name, data}) => (data || []).length > 0 && ~names.indexOf(name))
.filter(({name, data}) => (data || []).length > 0)
.reduce((xs, {name, data}) => xs.set(name, loadIpcHandle(data)), new Map());
const closeMemHandle = ({buffer}) => {
try {
buffer.close();
} catch (e) {}
};
const ipchs = new zmq.Pull();
const ready = new zmq.Request();
const {protocol, hostname, port} = Url.parse(process.argv[2]);
const ipchsUrl = `${protocol}//${hostname}:${port}`;
const readyUrl = `${protocol}//${hostname}:${+ port + 1}`;
ipchs.connect(ipchsUrl);
ready.connect(readyUrl);
await ready.send('ready');
await ready.receive();
for await (const msg of ipchs) {
// console.log(msg);
let {node: nodeTokens, edge: edgeTokens} = JSON.parse(msg);
// console.log(nodeTokens);
nodeTokens = (nodeTokens || []).filter(Boolean);
edgeTokens = (edgeTokens || []).filter(Boolean);
// console.log(nodeTokens);
// let nodeIPCBuffers = loadIpcHandles(nodeTokens, ['size', 'color', 'position']);
let nodeIPCBuffers = loadIpcHandles(nodeTokens);
let edgeIPCBuffers = loadIpcHandles(edgeTokens, ['edge', 'color', 'bundle']);
if (nodeIPCBuffers.size + edgeIPCBuffers.size > 0) {
// console.log(nodeIPCBuffers);
numNodes =
nodeIPCBuffers.has('color') ? nodeIPCBuffers.get('color').byteLength / 4 : numNodes;
numEdges =
edgeIPCBuffers.has('color') ? edgeIPCBuffers.get('color').byteLength / 8 : numEdges;
const nodeUpdates = nodeIPCBuffers.size === 0
? []
: [{length: numNodes, offset: 0, ...mapToObject(nodeIPCBuffers)}];
// console.log(nodeUpdates);
// console.log(nodeUpdates[0]);
const edgeUpdates = edgeIPCBuffers.size === 0
? []
: [{length: numEdges, offset: 0, ...mapToObject(edgeIPCBuffers)}];
// console.log(nodeUpdates[0].position);
await redraw(
{nodeUpdates, edgeUpdates, drawEdges: drawEdges = null, graphVersion: ++graphVersion});
nodeIPCBuffers.forEach(closeMemHandle);
edgeIPCBuffers.forEach(closeMemHandle);
await ready.send('ready');
if (`${await ready.receive()}` === 'close') { break; }
}
}
// console.log('done');
ipchs.close();
ready.close();
await redraw({drawEdges: drawEdges = true});
}
function redraw({nodeUpdates = [], edgeUpdates = [], ...rest}) {
const nextProps = {
width: window.clientWidth,
height: window.clientHeight,
layers: [new ArrowGraphLayer({
id: 'graph',
nodeUpdates,
edgeUpdates,
numNodes: numNodes,
numEdges: numEdges,
version: graphVersion,
edgeWidth: useTestData ? 5 : 1,
edgeOpacity: useTestData ? 0.5 : 0.01,
coordinateSystem: COORDINATE_SYSTEM.CARTESIAN,
},
{drawEdges})]
};
rest.viewState !== undefined && (nextProps.viewState = rest.viewState);
if (!onAfterRenderPromise) {
onAfterRenderPromise = new Promise((resolve) => {
nextProps.onAfterRender =
() => {
onAfterRenderPromise = null;
resolve();
}
});
}
deck.setProps(nextProps);
if (drawEdges === false) {
redrawTimeout !== null && clearTimeout(redrawTimeout);
redrawTimeout = setTimeout(() => {
redrawTimeout = null;
redraw({drawEdges: drawEdges = true});
}, 350);
}
return onAfterRenderPromise;
}
| 0 |
rapidsai_public_repos/node/modules/demo/ipc/umap
|
rapidsai_public_repos/node/modules/demo/ipc/umap/layers/arrow-graph-layer.js
|
// Copyright (c) 2020-2021, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import {CompositeLayer} from '@deck.gl/core';
import GL from '@luma.gl/constants';
import {Buffer, Texture2D, Transform} from '@luma.gl/core';
import {CUDA, Uint8Buffer} from '@rapidsai/cuda';
import EdgeLayer from './edge/bezier-curve-layer';
import edgePositionsVS from './edge/edge-positions-vertex.glsl';
import NodeLayer from './node/node-layer';
import {getLayerAttributes} from './utils';
const defaultProps = {
numNodes: 0,
numEdges: 0,
nodeUpdates: [],
edgeUpdates: [],
drawEdges: true,
edgeWidth: 1,
edgeOpacity: 0.1,
};
const TEXTURE_WIDTH = 256;
const nodeLayerAttributes = getLayerAttributes(NodeLayer);
const edgeLayerAttributes = getLayerAttributes(EdgeLayer);
/*
LayerAttribute.allocate(numInstances) also creates a typed array as `value`, which we don't want.
Maybe extend it into
LayerAttribute.allocate(numInstances, {valueArray = true})
*/
function resizeBuffer(buffer, numInstances) {
if (buffer.byteLength !== (numInstances * buffer.accessor.BYTES_PER_VERTEX)) {
buffer.reallocate(numInstances * buffer.accessor.BYTES_PER_VERTEX);
}
}
function registerCUDAGraphicsResources(
webGLToCUDABufferMap, cudaResourceToBuffersMap, webGLBuffers) {
webGLBuffers.forEach((glBuffer) => {
if (!webGLToCUDABufferMap.has(glBuffer) || !webGLToCUDABufferMap.get(glBuffer)[1]) {
try {
const cuGraphicsResource =
CUDA.runtime.cudaGraphicsGLRegisterBuffer(glBuffer.handle.ptr, 0);
webGLToCUDABufferMap.set(glBuffer, [cuGraphicsResource, null]);
cudaResourceToBuffersMap.set(cuGraphicsResource, [glBuffer, null]);
} catch (e) {}
}
});
}
function getCUDAGraphicsResourcesBuffers(
webGLToCUDABufferMap, cudaResourceToBuffersMap, webGLBuffers) {
webGLBuffers.forEach((glBuffer) => {
if (!webGLToCUDABufferMap.has(glBuffer) || !webGLToCUDABufferMap.get(glBuffer)[1]) {
const [cuGraphicsResource] = webGLToCUDABufferMap.get(glBuffer);
try {
const cuBuffer =
new Uint8Buffer(CUDA.runtime.cudaGraphicsResourceGetMappedPointer(cuGraphicsResource));
webGLToCUDABufferMap.set(glBuffer, [cuGraphicsResource, cuBuffer]);
cudaResourceToBuffersMap.set(cuGraphicsResource, [glBuffer, cuBuffer]);
} catch (e) {}
}
});
}
function mapCUDAGraphicsResources(webGLToCUDABufferMap, cudaResourceToBuffersMap, webGLBuffers) {
registerCUDAGraphicsResources(webGLToCUDABufferMap, cudaResourceToBuffersMap, webGLBuffers);
CUDA.runtime.cudaGraphicsMapResources([...cudaResourceToBuffersMap.keys()]);
getCUDAGraphicsResourcesBuffers(webGLToCUDABufferMap, cudaResourceToBuffersMap, webGLBuffers);
return [webGLToCUDABufferMap, cudaResourceToBuffersMap];
}
function unmapCUDAGraphicsResources(webGLToCUDABufferMap, cudaResourceToBuffersMap, webGLBuffers) {
CUDA.runtime.cudaGraphicsUnmapResources([...cudaResourceToBuffersMap.keys()]);
webGLBuffers.forEach((glBuffer) => {
if (webGLToCUDABufferMap.has(glBuffer) && webGLToCUDABufferMap.get(glBuffer)[1]) {
const [cuGraphicsResource] = webGLToCUDABufferMap.get(glBuffer);
webGLToCUDABufferMap.delete(glBuffer);
cudaResourceToBuffersMap.delete(cuGraphicsResource);
}
});
}
/*
Always use bufferSubData in
LayerAttribute.updateBuffer ?
*/
function updatePartialBuffer(buffer, data, instanceOffset, webGLToCUDABufferMap) {
const [, cuBuffer] = webGLToCUDABufferMap.get(buffer);
try {
cuBuffer.copyFrom(data, instanceOffset * buffer.accessor.BYTES_PER_VERTEX);
} catch (e) {}
}
export default class ArrowGraphLayer extends CompositeLayer {
static get layerName() { return 'ArrowGraphLayer'; }
initializeState() {
const {gl} = this.context;
this.setState({
loadedNodeCount: 0,
loadedEdgeCount: 0,
hasRenderedEdges: false,
webGLToCUDABufferMap: new Map(),
cudaResourceToBuffersMap: new Map(),
edgePositionsToUpdate: Object.create(null),
// Node layer buffers
nodeColorsBuffer:
new Buffer(gl, {accessor: nodeLayerAttributes.instanceFillColors, byteLength: 1}),
nodeRadiusBuffer:
new Buffer(gl, {accessor: nodeLayerAttributes.instanceRadius, byteLength: 1}),
nodePositionsBuffer:
new Buffer(gl, {accessor: nodeLayerAttributes.instancePositions, byteLength: 1}),
// Line layer buffers
edgeSourcePositionsBuffer:
new Buffer(gl, {accessor: edgeLayerAttributes.instanceSourcePositions, byteLength: 1}),
edgeTargetPositionsBuffer:
new Buffer(gl, {accessor: edgeLayerAttributes.instanceTargetPositions, byteLength: 1}),
edgeControlPointsBuffer:
new Buffer(gl, {accessor: edgeLayerAttributes.instanceTargetPositions, byteLength: 1}),
edgeColorsBuffer: new Buffer(
gl, {accessor: {...edgeLayerAttributes.instanceSourceColors, size: 8}, byteLength: 1}),
// Transform feedback buffers
nodePositionsTexture: new Texture2D(gl, {
format: GL.RG32F,
type: GL.FLOAT,
width: 1,
height: 1,
parameters: {[GL.TEXTURE_MIN_FILTER]: [GL.NEAREST], [GL.TEXTURE_MAG_FILTER]: [GL.NEAREST]},
mipmap: false
}),
edgesBuffer: new Buffer(gl, {accessor: {type: GL.UNSIGNED_INT, size: 2}, byteLength: 1}),
edgeBundlesBuffer:
new Buffer(gl, {accessor: {type: GL.UNSIGNED_INT, size: 2}, byteLength: 1}),
edgeSourcePositionsBufferTemp:
new Buffer(gl, {accessor: edgeLayerAttributes.instanceSourcePositions, byteLength: 1}),
edgeTargetPositionsBufferTemp:
new Buffer(gl, {accessor: edgeLayerAttributes.instanceTargetPositions, byteLength: 1}),
edgeControlPointsBufferTemp:
new Buffer(gl, {accessor: edgeLayerAttributes.instanceTargetPositions, byteLength: 1}),
});
this.setState({
// Transform feedback that looks up node positions from ids
edgePositionsTransform: new Transform(gl, {
sourceBuffers: {
edge: this.state.edgesBuffer,
bundle: this.state.edgeBundlesBuffer,
// instanceIds: this.state.edgesBuffer,
},
feedbackBuffers: {
controlPoints: this.state.edgeControlPointsBufferTemp,
sourcePositions: this.state.edgeSourcePositionsBufferTemp,
targetPositions: this.state.edgeTargetPositionsBufferTemp
},
vs: edgePositionsVS,
varyings: ['sourcePositions', 'targetPositions', 'controlPoints'],
elementCount: 1,
isInstanced: false,
})
});
}
/* eslint-disable max-statements */
updateState({props, oldProps}) {
const {nodeUpdates, edgeUpdates, numNodes, numEdges, drawEdges} = props;
const {
nodeColorsBuffer,
nodeRadiusBuffer,
edgeBundlesBuffer,
nodePositionsBuffer,
nodePositionsTexture,
edgePositionsTransform,
edgeControlPointsBuffer,
edgeSourcePositionsBuffer,
edgeTargetPositionsBuffer,
edgeControlPointsBufferTemp,
edgeSourcePositionsBufferTemp,
edgeTargetPositionsBufferTemp,
edgeColorsBuffer,
edgesBuffer,
webGLToCUDABufferMap,
cudaResourceToBuffersMap
} = this.state;
let {hasRenderedEdges, loadedNodeCount, loadedEdgeCount} = this.state;
// Resize node layer buffers
if (numNodes && numNodes !== oldProps.numNodes) {
resizeBuffer(nodeColorsBuffer, numNodes);
resizeBuffer(nodeRadiusBuffer, numNodes);
nodePositionsTexture.resize(
{width: TEXTURE_WIDTH, height: Math.ceil(numNodes / TEXTURE_WIDTH)});
resizeBuffer(nodePositionsBuffer, nodePositionsTexture.width * nodePositionsTexture.height);
loadedNodeCount = 0;
}
// Resize edge layer buffers
if (numEdges && numEdges !== oldProps.numEdges) {
resizeBuffer(edgeBundlesBuffer, numEdges);
resizeBuffer(edgeControlPointsBuffer, numEdges);
resizeBuffer(edgeSourcePositionsBuffer, numEdges);
resizeBuffer(edgeTargetPositionsBuffer, numEdges);
resizeBuffer(edgeColorsBuffer, numEdges);
resizeBuffer(edgesBuffer, numEdges);
loadedEdgeCount = 0;
}
const nodesUpdated = nodeUpdates.length > 0;
const edgesUpdated = edgeUpdates.length > 0;
const webglBuffers = [
edgesBuffer,
edgeColorsBuffer,
nodeColorsBuffer,
edgeBundlesBuffer,
nodeRadiusBuffer,
nodePositionsBuffer
];
(nodesUpdated || edgesUpdated) &&
mapCUDAGraphicsResources(webGLToCUDABufferMap, cudaResourceToBuffersMap, webglBuffers);
// Apply node data updates
while (nodeUpdates.length) {
const {length, offset, color, size, position} = nodeUpdates.shift();
color && updatePartialBuffer(nodeColorsBuffer, color, offset, webGLToCUDABufferMap);
size && updatePartialBuffer(nodeRadiusBuffer, size, offset, webGLToCUDABufferMap);
position && updatePartialBuffer(nodePositionsBuffer, position, offset, webGLToCUDABufferMap);
loadedNodeCount = Math.max(loadedNodeCount, offset + length);
}
// Apply edge data updates
let edgePositionsToUpdate = this.state.edgePositionsToUpdate;
while (edgeUpdates.length) {
const {length, offset, edge, color, bundle} = edgeUpdates.shift();
edge && updatePartialBuffer(edgesBuffer, edge, offset, webGLToCUDABufferMap);
color && updatePartialBuffer(edgeColorsBuffer, color, offset, webGLToCUDABufferMap);
bundle && updatePartialBuffer(edgeBundlesBuffer, bundle, offset, webGLToCUDABufferMap);
loadedEdgeCount = Math.max(loadedEdgeCount, offset + length);
edgePositionsToUpdate[`[${offset},${length}]`] = {offset, length};
}
(nodesUpdated || edgesUpdated) &&
unmapCUDAGraphicsResources(webGLToCUDABufferMap, cudaResourceToBuffersMap, webglBuffers);
// Update edge position buffers
if (drawEdges && numEdges > 0) {
const allNodesLoaded =
(numNodes > 0 && loadedNodeCount === numNodes &&
(nodeColorsBuffer.byteLength / nodeColorsBuffer.accessor.BYTES_PER_VERTEX) === numNodes &&
(nodeRadiusBuffer.byteLength / nodeRadiusBuffer.accessor.BYTES_PER_VERTEX) === numNodes);
if (!hasRenderedEdges || (nodesUpdated && allNodesLoaded)) {
nodePositionsTexture.setImageData({data: nodePositionsBuffer});
}
const allEdgesLoaded =
(numEdges > 0 && loadedEdgeCount === numEdges &&
(edgesBuffer.byteLength / edgesBuffer.accessor.BYTES_PER_VERTEX) === numEdges &&
(edgeColorsBuffer.byteLength / edgeColorsBuffer.accessor.BYTES_PER_VERTEX) === numEdges &&
(edgeBundlesBuffer.byteLength / edgeBundlesBuffer.accessor.BYTES_PER_VERTEX) === numEdges);
const edgePositionUpdateInfo = {
loadedNodeCount,
loadedEdgeCount,
nodePositionsTexture,
edgePositionsTransform,
edgeControlPointsBuffer,
edgeSourcePositionsBuffer,
edgeTargetPositionsBuffer,
edgeControlPointsBufferTemp,
edgeSourcePositionsBufferTemp,
edgeTargetPositionsBufferTemp,
edgeWidth: this.props.edgeWidth,
};
if (allEdgesLoaded && (nodesUpdated || !hasRenderedEdges)) {
hasRenderedEdges = true;
edgePositionUpdateInfo.offset = 0;
edgePositionUpdateInfo.length = numEdges;
copyEdgePositions(edgePositionUpdateInfo);
} else if (allNodesLoaded && (edgesUpdated || !hasRenderedEdges)) {
hasRenderedEdges = true;
for (const k in edgePositionsToUpdate) {
edgePositionUpdateInfo.offset = edgePositionsToUpdate[k].offset;
edgePositionUpdateInfo.length = edgePositionsToUpdate[k].length;
copyEdgePositions(edgePositionUpdateInfo);
}
edgePositionsToUpdate = Object.create(null);
}
}
this.setState({loadedNodeCount, loadedEdgeCount, hasRenderedEdges, edgePositionsToUpdate});
}
/* eslint-enable max-statements */
renderLayers() {
const {
loadedNodeCount,
loadedEdgeCount,
nodeColorsBuffer,
nodeRadiusBuffer,
nodePositionsBuffer,
edgeControlPointsBuffer,
edgeSourcePositionsBuffer,
edgeTargetPositionsBuffer,
edgeColorsBuffer
} = this.state;
return [
loadedEdgeCount && new EdgeLayer(this.getSubLayerProps({
id: 'edges',
numInstances: loadedEdgeCount,
visible: this.props.drawEdges,
opacity: this.props.edgeOpacity,
strokeWidth: this.props.edgeWidth,
data: {
attributes: {
instanceSourcePositions: edgeSourcePositionsBuffer,
instanceTargetPositions: edgeTargetPositionsBuffer,
instanceControlPoints: edgeControlPointsBuffer,
instanceSourceColors: edgeColorsBuffer,
instanceTargetColors: edgeColorsBuffer,
}
},
pickable: true,
autoHighlight: true,
highlightColor: [255, 255, 255, 255],
})),
loadedNodeCount && new NodeLayer(this.getSubLayerProps({
id: 'nodes',
numInstances: loadedNodeCount,
data: {
attributes: {
instanceRadius: nodeRadiusBuffer,
instanceFillColors: nodeColorsBuffer,
instanceLineColors: nodeColorsBuffer,
instancePositions: nodePositionsBuffer,
}
},
opacity: 0.5,
radiusScale: 1,
radiusMinPixels: 0,
radiusMaxPixels: 25,
// interaction
pickable: true,
autoHighlight: true,
highlightColor: [255, 255, 255, 255],
}))
];
}
}
ArrowGraphLayer.defaultProps = defaultProps;
function copyEdgePositions({
offset,
length,
edgeWidth,
loadedNodeCount,
loadedEdgeCount,
// nodeXTexture,
// nodeYTexture,
nodePositionsTexture,
edgePositionsTransform,
edgeControlPointsBuffer,
edgeSourcePositionsBuffer,
edgeTargetPositionsBuffer,
edgeControlPointsBufferTemp,
edgeSourcePositionsBufferTemp,
edgeTargetPositionsBufferTemp
}) {
if (length <= 0) return;
// Update edge position buffers
resizeBuffer(edgeControlPointsBufferTemp, length);
resizeBuffer(edgeSourcePositionsBufferTemp, length);
resizeBuffer(edgeTargetPositionsBufferTemp, length);
edgePositionsTransform.update({
elementCount: length,
});
edgePositionsTransform.run({
offset,
uniforms: {
loadedNodeCount,
loadedEdgeCount,
width: TEXTURE_WIDTH,
strokeWidth: edgeWidth,
nodePositions: nodePositionsTexture
}
});
edgeControlPointsBuffer.copyData({
sourceBuffer: edgeControlPointsBufferTemp,
size: length * edgeControlPointsBuffer.accessor.BYTES_PER_VERTEX,
writeOffset: offset * edgeControlPointsBuffer.accessor.BYTES_PER_VERTEX,
});
edgeSourcePositionsBuffer.copyData({
sourceBuffer: edgeSourcePositionsBufferTemp,
size: length * edgeSourcePositionsBuffer.accessor.BYTES_PER_VERTEX,
writeOffset: offset * edgeSourcePositionsBuffer.accessor.BYTES_PER_VERTEX,
});
edgeTargetPositionsBuffer.copyData({
sourceBuffer: edgeTargetPositionsBufferTemp,
size: length * edgeTargetPositionsBuffer.accessor.BYTES_PER_VERTEX,
writeOffset: offset * edgeTargetPositionsBuffer.accessor.BYTES_PER_VERTEX,
});
resizeBuffer(edgeControlPointsBufferTemp, 0);
resizeBuffer(edgeSourcePositionsBufferTemp, 0);
resizeBuffer(edgeTargetPositionsBufferTemp, 0);
}
| 0 |
rapidsai_public_repos/node/modules/demo/ipc/umap
|
rapidsai_public_repos/node/modules/demo/ipc/umap/layers/utils.js
|
// Copyright (c) 2015 - 2017 Uber Technologies, Inc.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
// THE SOFTWARE.
// Copyright (c) 2020-2021, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import GL from '@luma.gl/constants';
/* deck.gl could potentially make this as a Layer utility? */
export function getLayerAttributes(LayerClass) {
const layer = new LayerClass({});
try {
layer.context = {};
layer._initState();
layer.initializeState();
} catch (error) {
// ignore
}
const attributes = { ...layer.getAttributeManager().getAttributes() };
for (const attributeName in attributes) {
attributes[attributeName] = Object.assign({}, {
offset: attributes[attributeName].settings.offset,
stride: attributes[attributeName].settings.stride,
type: attributes[attributeName].settings.type || GL.FLOAT,
size: attributes[attributeName].settings.size,
divisor: attributes[attributeName].settings.divisor,
normalize: attributes[attributeName].settings.normalized,
integer: attributes[attributeName].settings.integer,
});
}
return attributes;
}
| 0 |
rapidsai_public_repos/node/modules/demo/ipc/umap/layers
|
rapidsai_public_repos/node/modules/demo/ipc/umap/layers/edge/bezier-curve-layer.js
|
// Copyright (c) 2015 - 2017 Uber Technologies, Inc.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
// THE SOFTWARE.
// Copyright (c) 2020-2021, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import { Layer, fp64LowPart, picking } from '@deck.gl/core';
import GL from '@luma.gl/constants';
import { Model, Geometry } from '@luma.gl/core';
import vs from './bezier-curve-layer-vertex.glsl';
import fs from './bezier-curve-layer-fragment.glsl';
const NUM_SEGMENTS = 40;
const DEFAULT_COLOR = [0, 0, 0, 255];
const defaultProps = {
strokeWidth: { type: 'number', min: 0, value: 1 },
getSourcePosition: { type: 'accessor', value: x => x.sourcePosition },
getTargetPosition: { type: 'accessor', value: x => x.targetPosition },
getControlPoint: { type: 'accessor', value: x => x.controlPoint },
getSourceColor: { type: 'accessor', value: DEFAULT_COLOR },
getTargetColor: { type: 'accessor', value: DEFAULT_COLOR },
};
export default class BezierCurveLayer extends Layer {
getShaders() {
return { vs, fs, modules: [picking] };
}
initializeState() {
const attributeManager = this.getAttributeManager();
/* eslint-disable max-len */
attributeManager.addInstanced({
instanceSourcePositions: {
size: 3,
transition: true,
accessor: 'getSourcePosition'
},
instanceTargetPositions: {
size: 3,
transition: true,
accessor: 'getTargetPosition'
},
instanceControlPoints: {
size: 3,
transition: false,
accessor: 'getControlPoint'
},
instanceSourceColors: {
size: 4,
stride: 8,
// transition: true,
type: GL.UNSIGNED_BYTE,
accessor: 'getSourceColor',
defaultValue: [255, 255, 255, 255]
},
instanceTargetColors: {
size: 4,
stride: 8,
offset: 4,
// transition: true,
type: GL.UNSIGNED_BYTE,
accessor: 'getTargetColor',
defaultValue: [255, 255, 255, 255]
}
});
/* eslint-enable max-len */
}
updateState({ props, oldProps, changeFlags }) {
super.updateState({ props, oldProps, changeFlags });
if (changeFlags.extensionsChanged) {
const { gl } = this.context;
if (this.state.model) {
this.state.model.delete();
}
this.setState({ model: this._getModel(gl) });
}
}
draw({ uniforms }) {
const { strokeWidth } = this.props;
this.state.model.render(
Object.assign({}, uniforms, {
strokeWidth
})
);
}
_getModel(gl) {
/*
* (0, -1)-------------_(1, -1)
* | _,-" |
* o _,-" o
* | _,-" |
* (0, 1)"-------------(1, 1)
*/
let positions = [];
for (let i = 0; i <= NUM_SEGMENTS; i++) {
positions = positions.concat([i, -1, 0, i, 1, 0]);
}
const model = new Model(
gl,
Object.assign({}, this.getShaders(), {
id: this.props.id,
geometry: new Geometry({
drawMode: GL.TRIANGLE_STRIP,
attributes: {
positions: new Float32Array(positions)
}
}),
isInstanced: true,
shaderCache: this.context.shaderCache
})
);
model.setUniforms({ numSegments: NUM_SEGMENTS });
return model;
}
calculateInstanceSourceTargetPositions64xyLow(attribute) {
const { data, getSourcePosition, getTargetPosition } = this.props;
const { value, size } = attribute;
let i = 0;
data.forEach(object => {
const sourcePosition = getSourcePosition(object);
const targetPosition = getTargetPosition(object);
value[i + 0] = fp64LowPart(sourcePosition[0]);
value[i + 1] = fp64LowPart(sourcePosition[1]);
value[i + 2] = fp64LowPart(targetPosition[0]);
value[i + 3] = fp64LowPart(targetPosition[1]);
i += size;
});
}
}
BezierCurveLayer.layerName = 'BezierCurveLayer';
BezierCurveLayer.defaultProps = defaultProps;
| 0 |
rapidsai_public_repos/node/modules/demo/ipc/umap/layers
|
rapidsai_public_repos/node/modules/demo/ipc/umap/layers/edge/edge-positions-vertex.glsl.js
|
// Copyright (c) 2015 - 2017 Uber Technologies, Inc.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
// THE SOFTWARE.
// Copyright (c) 2020-2021, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
export default `\
#version 410
#define MAX_BUNDLE_SIZE 100.0
in uvec2 edge;
in uvec2 bundle;
uniform sampler2D nodePositions;
uniform uint loadedNodeCount;
uniform float strokeWidth;
uniform uint width;
out vec3 controlPoints;
out vec3 sourcePositions;
out vec3 targetPositions;
ivec2 getTexCoord(uint id) {
uint y = id / width;
uint x = id - width * y;
return ivec2(x, y);
}
void main(void) {
controlPoints = vec3(0., 0., 1.);
sourcePositions = vec3(0., 0., 1.);
targetPositions = vec3(0., 0., 1.);
if (edge.x < loadedNodeCount) {
sourcePositions = vec3(texelFetch(nodePositions, getTexCoord(edge.x), 0).xy, 0.);
}
if (edge.y < loadedNodeCount) {
targetPositions = vec3(texelFetch(nodePositions, getTexCoord(edge.y), 0).xy, 0.);
}
// Compute the quadratic bezier control point for this edge
if ((sourcePositions.z + targetPositions.z) < 1.0) {
uint uindex = bundle.x;
float bundleSize = bundle.y;
float stroke = max(strokeWidth, 1.);
float eindex = uindex + mod(uindex, 2);
int direction = int(mix(1, -1, mod(uindex, 2)));
// If all the edges in the bundle fit into MAX_BUNDLE_SIZE,
// separate the edges without overlap via 'stroke * eindex'.
// Otherwise allow edges to overlap.
float size = mix(
stroke * eindex,
(MAX_BUNDLE_SIZE * .5 / stroke)
* (eindex / bundleSize),
step(MAX_BUNDLE_SIZE, bundleSize * strokeWidth)
);
vec3 midp = (sourcePositions + targetPositions) * 0.5;
vec3 dist = (targetPositions - sourcePositions);
vec3 unit = normalize(dist) * vec3(-1., 1., 1.);
// handle horizontal and vertical edges
if (unit.x == 0. || unit.y == 0.) {
unit = mix(
vec3(1., 0., unit.z), // if x is 0, x=1, y=0
vec3(0., 1., unit.z), // if y is 0, x=0, y=1
step(0.5, unit.x)
);
}
controlPoints = vec3((midp + (unit * size * direction)).xy, 0.);
}
}
`;
| 0 |
rapidsai_public_repos/node/modules/demo/ipc/umap/layers
|
rapidsai_public_repos/node/modules/demo/ipc/umap/layers/edge/bezier-curve-layer-vertex.glsl.js
|
// Copyright (c) 2015 - 2017 Uber Technologies, Inc.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
// THE SOFTWARE.
// Copyright (c) 2020-2021, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
export default `\
#version 410
#define SHADER_NAME bezier-curve-layer-vertex-shader
in vec3 positions;
in vec3 instanceSourcePositions;
in vec3 instanceTargetPositions;
in vec3 instanceControlPoints;
in vec4 instanceSourceColors;
in vec4 instanceTargetColors;
in vec3 instancePickingColors;
uniform float numSegments;
uniform float strokeWidth;
uniform float opacity;
out vec4 vColor;
out float vDiscard;
// offset vector by strokeWidth pixels
// offset_direction is -1 (left) or 1 (right)
vec2 getExtrusionOffset(vec2 line_clipspace, float offset_direction) {
// normalized direction of the line
vec2 dir_screenspace = normalize(line_clipspace * project_uViewportSize);
// rotate by 90 degrees
dir_screenspace = vec2(-dir_screenspace.y, dir_screenspace.x);
vec2 offset_screenspace = dir_screenspace * offset_direction * strokeWidth / 2.0;
vec2 offset_clipspace = project_pixel_size_to_clipspace(offset_screenspace).xy;
return offset_clipspace;
}
float getSegmentRatio(float index) {
return smoothstep(0.0, 1.0, index / numSegments);
}
vec4 computeBezierCurve(vec4 source, vec4 target, vec4 controlPoint, float segmentRatio) {
float mt = 1.0 - segmentRatio;
float mt2 = pow(mt, 2.0);
float t2 = pow(segmentRatio, 2.0);
// quadratic curve
float a = mt2;
float b = mt * segmentRatio * 2.0;
float c = t2;
// TODO: if depth is not needed remove z computations.
vec4 ret = vec4(
a * source.x + b * controlPoint.x + c * target.x,
a * source.y + b * controlPoint.y + c * target.y,
0.0, // a * source.z + b * controlPoint.z + c * target.z,
1.0
);
return ret;
}
void main(void) {
vDiscard = instanceSourcePositions.z + instanceTargetPositions.z;
// Position
vec3 sourcePos = project_position(instanceSourcePositions);
vec3 targetPos = project_position(instanceTargetPositions);
vec3 controlPointPos = project_position(instanceControlPoints);
vec4 source = project_common_position_to_clipspace(vec4(sourcePos, 1.0));
vec4 target = project_common_position_to_clipspace(vec4(targetPos, 1.0));
vec4 controlPoint = project_common_position_to_clipspace(vec4(controlPointPos, 1.0));
// linear interpolation of source & target to pick right coord
float segmentIndex = positions.x;
float segmentRatio = getSegmentRatio(segmentIndex);
vec4 p = computeBezierCurve(source, target, controlPoint, segmentRatio);
// next point
float indexDir = mix(-1.0, 1.0, step(segmentIndex, 0.0));
float nextSegmentRatio = getSegmentRatio(segmentIndex + indexDir);
vec4 nextP = computeBezierCurve(source, target, controlPoint, nextSegmentRatio);
// extrude
float direction = float(positions.y);
direction = mix(-1.0, 1.0, step(segmentIndex, 0.0)) * direction;
vec2 offset = getExtrusionOffset(nextP.xy - p.xy, direction);
gl_Position = p + vec4(offset, 0.0, 0.0);
// Color
vColor = mix(instanceSourceColors, instanceTargetColors, segmentRatio);
vColor = vec4(vColor.rgb, vColor.a * opacity) / 255.;
// Set color to be rendered to picking fbo (also used to check for selection highlight).
picking_setPickingColor(instancePickingColors);
}
`;
| 0 |
rapidsai_public_repos/node/modules/demo/ipc/umap/layers
|
rapidsai_public_repos/node/modules/demo/ipc/umap/layers/edge/README.md
|
# Bezier Curve Layer
This layer renders qudratic bezier curves. Right now it accepts only one control point.
import BezierCurveLayer from './bezier-curve-layer';
Inherits from all [Base Layer](/docs/layers/base-layer.md) properties.
##### `getSourcePosition` (Function, optional)
- Default: `d => d.sourcePosition`
Each point is defined as an array of three numbers: `[x, y, z]`.
##### `getTargetPosition` (Function, optional)
- Default: `d => d.targetPosition`
Each point is defined as an array of three numbers: `[x, y, z]`.
##### `getControlPoint` (Function, optional)
- Default: `d => d.controlPoint`
Each point is defined as an array of three numbers: `[x, y, z]`.
##### `getColor` (Function|Array, optional)
- Default: `[0, 0, 0, 255]`
The rgba color is in the format of `[r, g, b, [a]]`. Each channel is a number between 0-255 and `a` is 255 if not supplied.
* If an array is provided, it is used as the color for all objects.
* If a function is provided, it is called on each object to retrieve its color.
| 0 |
rapidsai_public_repos/node/modules/demo/ipc/umap/layers
|
rapidsai_public_repos/node/modules/demo/ipc/umap/layers/edge/bezier-curve-layer-fragment.glsl.js
|
// Copyright (c) 2015 - 2017 Uber Technologies, Inc.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
// THE SOFTWARE.
// Copyright (c) 2020-2021, NVIDIA CORPORATION.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
export default `\
#version 410
#define SHADER_NAME bezier-curve-layer-fragment-shader
precision highp float;
in vec4 vColor;
in float vDiscard;
void main(void) {
if (vDiscard > 0.5) {
discard;
}
gl_FragColor = vColor;
// use highlight color if this fragment belongs to the selected object.
gl_FragColor = picking_filterHighlightColor(gl_FragColor);
// use picking color if rendering to picking FBO.
gl_FragColor = picking_filterPickingColor(gl_FragColor);
}
`;
| 0 |
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