BigMap | big map , use buffer , help | Hashing library

I actually ended up resolving this with:

import React from "react"; import styles from '../styles/styles.scss' import Header from '../components/header'

export default class FetchObjkts extends React.Component { state = { loading: true, objkts: [] };

async componentDidMount() { const url = "https://staging.api.tzkt.io/v1/bigmaps/523/keys?value.issuer=tz1V9ZviaGUWZjGx4U7cGYFEyUGyqpFnVGXx&active=true"; const response = await fetch(url); const data = await response.json(); this.setState({ objkts: data, loading: false }); }

render() { ... }

Instead of using node for the data, I used useEffect() to fetch from client-side.

You have a typo. You are querying for edges and node, not nodes. So your code should look like:

SOLUTION:

Use Collectors.toMap():

Is this what you want?

Read all the lines and add it to a List. once that is done you can achieve the task at hand with a groupingBy collector.

throws and catch are different. When a method declares in its signature that it throws an exception, the caller has to handle it by either rethrowing it back or by catching it.

osmdroid, the android library for maps, natively works with the Z/X/Y tile coordinate reference system, which is the same used as

• openstreetmaps.org
• google maps (static tiles)
• bing
• mapquest
• mapbox
• certain USGS sources
• and many more

The url pattern for most of this is nearly universally, http://server:port/path/zoom/x/y.png

See the openstreetmap wiki about what the coordinates mean here: http://wiki.openstreetmap.org/wiki/Slippy_Map

Long story short, the easiest way to solve your problem using osmdroid is the following: mMapView.setTileSource(new XYTileSource( "bright-v9",0,22,256,"", new String[]{"https://gps.4u.uz:55443/styles/bright-v9/"} ));

There are multiple issues here.

Outside of a parallel region, omp_get_num_threads() always returns 1. Use omp_get_max_threads() instead, it will return the number of threads for any upcoming parallel region unless manually overridden. Especially threadvec has only one entry.

Calling gsl_rng_env_setup in a parallel region won't work properly. Also you are trying to allocate the whole vector of rngs by all threads... Simply remove the parallel region and use omp_get_max_threads() correctly. Or you could also do: