mirror of
https://github.com/corda/corda.git
synced 2025-02-20 17:33:15 +00:00
Add a notion of physical location.
This will be useful for various things in future, such as approximating the nearest consensus service (approximate because physical distance doesn't always match network distance), visualisation, simulation, etc. LegallyIdentifiableNode now lists a physical place for the node to be in (which might not be totally accurate one day if we have super distributed mega-nodes, but will do for now). The config file allows the admin to specify their nearest city. There is a city database that can map such names through to coordinates, when known. There is support for Mercator projection.
This commit is contained in:
Mike Hearn
parent
408bcaa505
commit
d1b5ada423
@ -1,49 +0,0 @@
|
||||
/*
|
||||
* Copyright 2015 Distributed Ledger Group LLC. Distributed as Licensed Company IP to DLG Group Members
|
||||
* pursuant to the August 7, 2015 Advisory Services Agreement and subject to the Company IP License terms
|
||||
* set forth therein.
|
||||
*
|
||||
* All other rights reserved.
|
||||
*/
|
||||
|
||||
package core.messaging
|
||||
|
||||
import core.Party
|
||||
import core.crypto.DummyPublicKey
|
||||
import java.util.*
|
||||
|
||||
/** Info about a network node that has is operated by some sort of verified identity. */
|
||||
data class LegallyIdentifiableNode(val address: SingleMessageRecipient, val identity: Party)
|
||||
|
||||
/**
|
||||
* A network map contains lists of nodes on the network along with information about their identity keys, services
|
||||
* they provide and host names or IP addresses where they can be connected to. A reasonable architecture for the
|
||||
* network map service might be one like the Tor directory authorities, where several nodes linked by RAFT or Paxos
|
||||
* elect a leader and that leader distributes signed documents describing the network layout. Those documents can
|
||||
* then be cached by every node and thus a network map can be retrieved given only a single successful peer connection.
|
||||
*
|
||||
* This interface assumes fast, synchronous access to an in-memory map.
|
||||
*/
|
||||
interface NetworkMapService {
|
||||
val timestampingNodes: List<LegallyIdentifiableNode>
|
||||
val ratesOracleNodes: List<LegallyIdentifiableNode>
|
||||
val partyNodes: List<LegallyIdentifiableNode>
|
||||
|
||||
fun nodeForPartyName(name: String): LegallyIdentifiableNode? = partyNodes.singleOrNull { it.identity.name == name }
|
||||
}
|
||||
|
||||
// TODO: Move this to the test tree once a real network map is implemented and this scaffolding is no longer needed.
|
||||
class MockNetworkMapService : NetworkMapService {
|
||||
|
||||
data class MockAddress(val id: String): SingleMessageRecipient
|
||||
|
||||
override val timestampingNodes = Collections.synchronizedList(ArrayList<LegallyIdentifiableNode>())
|
||||
override val ratesOracleNodes = Collections.synchronizedList(ArrayList<LegallyIdentifiableNode>())
|
||||
override val partyNodes = Collections.synchronizedList(ArrayList<LegallyIdentifiableNode>())
|
||||
|
||||
init {
|
||||
partyNodes.add(LegallyIdentifiableNode(MockAddress("excalibur:8080"), Party("Excalibur", DummyPublicKey("Excalibur"))))
|
||||
partyNodes.add(LegallyIdentifiableNode(MockAddress("another:8080"), Party("ANOther", DummyPublicKey("ANOther"))))
|
||||
|
||||
}
|
||||
}
|
||||
@ -20,10 +20,14 @@ import api.APIServer
|
||||
import api.APIServerImpl
|
||||
import com.codahale.metrics.MetricRegistry
|
||||
import contracts.*
|
||||
import core.*
|
||||
import core.Contract
|
||||
import core.ContractFactory
|
||||
import core.Party
|
||||
import core.UnknownContractException
|
||||
import core.crypto.SecureHash
|
||||
import core.crypto.generateKeyPair
|
||||
import core.messaging.*
|
||||
import core.messaging.MessagingService
|
||||
import core.messaging.StateMachineManager
|
||||
import core.node.services.*
|
||||
import core.serialization.deserialize
|
||||
import core.serialization.serialize
|
||||
@ -68,7 +72,11 @@ abstract class AbstractNode(val dir: Path, val configuration: NodeConfiguration,
|
||||
override val clock: Clock get() = platformClock
|
||||
}
|
||||
|
||||
val legallyIdentifableAddress: LegallyIdentifiableNode get() = LegallyIdentifiableNode(net.myAddress, storage.myLegalIdentity)
|
||||
val legallyIdentifableAddress: LegallyIdentifiableNode by lazy {
|
||||
LegallyIdentifiableNode(net.myAddress, storage.myLegalIdentity, findMyLocation())
|
||||
}
|
||||
|
||||
protected open fun findMyLocation(): PhysicalLocation? = CityDatabase[configuration.nearestCity]
|
||||
|
||||
// TODO: This will be obsoleted by "PLT-12: Basic module/sandbox system for contracts"
|
||||
protected val contractFactory = object : ContractFactory {
|
||||
|
||||
@ -12,7 +12,7 @@ import api.Config
|
||||
import api.ResponseFilter
|
||||
import com.codahale.metrics.JmxReporter
|
||||
import com.google.common.net.HostAndPort
|
||||
import core.messaging.LegallyIdentifiableNode
|
||||
import core.node.services.LegallyIdentifiableNode
|
||||
import core.messaging.MessagingService
|
||||
import core.node.services.ArtemisMessagingService
|
||||
import core.node.servlets.AttachmentDownloadServlet
|
||||
|
||||
@ -15,6 +15,7 @@ import kotlin.reflect.KProperty
|
||||
interface NodeConfiguration {
|
||||
val myLegalName: String
|
||||
val exportJMXto: String
|
||||
val nearestCity: String
|
||||
}
|
||||
|
||||
// Allow the use of "String by config" syntax. TODO: Make it more flexible.
|
||||
@ -23,4 +24,5 @@ operator fun Config.getValue(receiver: NodeConfigurationFromConfig, metadata: KP
|
||||
class NodeConfigurationFromConfig(val config: Config = ConfigFactory.load()) : NodeConfiguration {
|
||||
override val myLegalName: String by config
|
||||
override val exportJMXto: String by config
|
||||
override val nearestCity: String by config
|
||||
}
|
||||
106
src/main/kotlin/core/node/services/NetworkMapService.kt
Normal file
106
src/main/kotlin/core/node/services/NetworkMapService.kt
Normal file
@ -0,0 +1,106 @@
|
||||
/*
|
||||
* Copyright 2015 Distributed Ledger Group LLC. Distributed as Licensed Company IP to DLG Group Members
|
||||
* pursuant to the August 7, 2015 Advisory Services Agreement and subject to the Company IP License terms
|
||||
* set forth therein.
|
||||
*
|
||||
* All other rights reserved.
|
||||
*/
|
||||
|
||||
package core.node.services
|
||||
|
||||
import core.Party
|
||||
import core.crypto.DummyPublicKey
|
||||
import core.messaging.SingleMessageRecipient
|
||||
import java.util.*
|
||||
|
||||
/** Info about a network node that has operated by some sort of verified identity. */
|
||||
data class LegallyIdentifiableNode(val address: SingleMessageRecipient, val identity: Party,
|
||||
val physicalLocation: PhysicalLocation? = null)
|
||||
|
||||
/**
|
||||
* A network map contains lists of nodes on the network along with information about their identity keys, services
|
||||
* they provide and host names or IP addresses where they can be connected to. A reasonable architecture for the
|
||||
* network map service might be one like the Tor directory authorities, where several nodes linked by RAFT or Paxos
|
||||
* elect a leader and that leader distributes signed documents describing the network layout. Those documents can
|
||||
* then be cached by every node and thus a network map can be retrieved given only a single successful peer connection.
|
||||
*
|
||||
* This interface assumes fast, synchronous access to an in-memory map.
|
||||
*/
|
||||
interface NetworkMapService {
|
||||
val timestampingNodes: List<LegallyIdentifiableNode>
|
||||
val ratesOracleNodes: List<LegallyIdentifiableNode>
|
||||
val partyNodes: List<LegallyIdentifiableNode>
|
||||
|
||||
fun nodeForPartyName(name: String): LegallyIdentifiableNode? = partyNodes.singleOrNull { it.identity.name == name }
|
||||
}
|
||||
|
||||
// TODO: Move this to the test tree once a real network map is implemented and this scaffolding is no longer needed.
|
||||
class MockNetworkMapService : NetworkMapService {
|
||||
data class MockAddress(val id: String): SingleMessageRecipient
|
||||
|
||||
override val timestampingNodes = Collections.synchronizedList(ArrayList<LegallyIdentifiableNode>())
|
||||
override val ratesOracleNodes = Collections.synchronizedList(ArrayList<LegallyIdentifiableNode>())
|
||||
override val partyNodes = Collections.synchronizedList(ArrayList<LegallyIdentifiableNode>())
|
||||
|
||||
init {
|
||||
partyNodes.add(LegallyIdentifiableNode(MockAddress("excalibur:8080"), Party("Excalibur", DummyPublicKey("Excalibur"))))
|
||||
partyNodes.add(LegallyIdentifiableNode(MockAddress("another:8080"), Party("ANOther", DummyPublicKey("ANOther"))))
|
||||
}
|
||||
}
|
||||
|
||||
/** A latitude/longitude pair. */
|
||||
data class WorldCoordinate(val latitude: Double, val longitude: Double) {
|
||||
init {
|
||||
require(latitude in -90..90)
|
||||
require(longitude in -180..180)
|
||||
}
|
||||
|
||||
/**
|
||||
* Convert to screen coordinates using the Mercator projection. You should have a world map image that
|
||||
* you know the precise extents of for this function to work.
|
||||
*
|
||||
* Note that no world map ever has latitude extents of -90 to 90 because at these extremes the mapping tends
|
||||
* to infinity. Google Maps, for example, uses a square map image, and square maps yield latitude extents
|
||||
* of 85.0511 to -85.0511 = arctan(sinh(π)).
|
||||
*/
|
||||
fun project(screenWidth: Double, screenHeight: Double, topLatitude: Double, bottomLatitude: Double,
|
||||
leftLongitude: Double, rightLongitude: Double): Pair<Double, Double> {
|
||||
require(latitude in bottomLatitude..topLatitude)
|
||||
require(longitude in leftLongitude..rightLongitude)
|
||||
|
||||
fun deg2rad(deg: Double) = deg * Math.PI / 180.0
|
||||
val leftLngRad = deg2rad(leftLongitude)
|
||||
val rightLngRad = deg2rad(rightLongitude)
|
||||
fun longitudeToScreenX(lng: Double) = screenWidth * (deg2rad(lng) - leftLngRad) / (rightLngRad - leftLngRad)
|
||||
fun screenYRelative(latDeg: Double) = Math.log(Math.tan(latDeg / 360.0 * Math.PI + Math.PI / 4))
|
||||
val topLatRel = screenYRelative(topLatitude)
|
||||
val bottomLatRel = screenYRelative(bottomLatitude)
|
||||
fun latitudeToScreenY(lat: Double) = screenHeight * (screenYRelative(lat) - topLatRel) / (bottomLatRel - topLatRel)
|
||||
return Pair(longitudeToScreenX(longitude), latitudeToScreenY(latitude))
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* A labelled [WorldCoordinate], where the label is human meaningful. For example, the name of the nearest city.
|
||||
* Labels should not refer to non-landmarks, for example, they should not contain the names of organisations.
|
||||
*/
|
||||
data class PhysicalLocation(val coordinate: WorldCoordinate, val description: String)
|
||||
|
||||
/**
|
||||
* A simple lookup table of city names to their coordinates. Lookups are case insensitive.
|
||||
*/
|
||||
object CityDatabase {
|
||||
private val cityMap = HashMap<String, PhysicalLocation>()
|
||||
|
||||
init {
|
||||
javaClass.getResourceAsStream("cities.txt").bufferedReader().useLines { lines ->
|
||||
for (line in lines) {
|
||||
if (line.startsWith("#")) continue
|
||||
val (name, lng, lat) = line.split('\t')
|
||||
cityMap[name.toLowerCase()] = PhysicalLocation(WorldCoordinate(lat.toDouble(), lng.toDouble()), name)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
operator fun get(name: String) = cityMap[name.toLowerCase()]
|
||||
}
|
||||
@ -13,7 +13,7 @@ import contracts.Cash
|
||||
import core.*
|
||||
import core.crypto.SecureHash
|
||||
import core.messaging.MessagingService
|
||||
import core.messaging.NetworkMapService
|
||||
import core.node.services.NetworkMapService
|
||||
import java.io.InputStream
|
||||
import java.security.KeyPair
|
||||
import java.security.PrivateKey
|
||||
|
||||
@ -15,6 +15,7 @@ import core.node.services.DummyTimestampingAuthority
|
||||
import core.ThreadBox
|
||||
import core.crypto.sha256
|
||||
import core.messaging.*
|
||||
import core.node.services.LegallyIdentifiableNode
|
||||
import core.node.services.NodeTimestamperService
|
||||
import core.utilities.loggerFor
|
||||
import java.time.Instant
|
||||
|
||||
@ -11,11 +11,12 @@ package core.testing
|
||||
import com.google.common.jimfs.Jimfs
|
||||
import com.google.common.util.concurrent.MoreExecutors
|
||||
import core.Party
|
||||
import core.messaging.LegallyIdentifiableNode
|
||||
import core.messaging.MessagingService
|
||||
import core.node.AbstractNode
|
||||
import core.node.NodeConfiguration
|
||||
import core.node.services.FixedIdentityService
|
||||
import core.node.services.LegallyIdentifiableNode
|
||||
import core.node.services.PhysicalLocation
|
||||
import core.utilities.loggerFor
|
||||
import org.slf4j.Logger
|
||||
import java.nio.file.Files
|
||||
@ -69,6 +70,9 @@ class MockNetwork(private val threadPerNode: Boolean = false) {
|
||||
|
||||
override fun makeIdentityService() = FixedIdentityService(mockNet.identities)
|
||||
|
||||
// There is no need to slow down the unit tests by initialising CityDatabase
|
||||
override fun findMyLocation(): PhysicalLocation? = null
|
||||
|
||||
override fun start(): MockNode {
|
||||
super.start()
|
||||
mockNet.identities.add(storage.myLegalIdentity)
|
||||
@ -88,6 +92,7 @@ class MockNetwork(private val threadPerNode: Boolean = false) {
|
||||
val config = object : NodeConfiguration {
|
||||
override val myLegalName: String = "Mock Company $id"
|
||||
override val exportJMXto: String = ""
|
||||
override val nearestCity: String = "Atlantis"
|
||||
}
|
||||
val fac = factory ?: { p, n, n2, l -> MockNode(p, n, n2, l, id) }
|
||||
val node = fac(path, config, this, withTimestamper).start()
|
||||
|
||||
@ -10,10 +10,10 @@ package demos
|
||||
|
||||
import contracts.Cash
|
||||
import core.*
|
||||
import core.messaging.LegallyIdentifiableNode
|
||||
import core.node.Node
|
||||
import core.node.NodeConfiguration
|
||||
import core.node.services.ArtemisMessagingService
|
||||
import core.node.services.LegallyIdentifiableNode
|
||||
import core.node.services.NodeInterestRates
|
||||
import core.serialization.deserialize
|
||||
import core.utilities.ANSIProgressRenderer
|
||||
@ -71,6 +71,7 @@ fun main(args: Array<String>) {
|
||||
val config = object : NodeConfiguration {
|
||||
override val myLegalName: String = "Rate fix demo node"
|
||||
override val exportJMXto: String = "http"
|
||||
override val nearestCity: String = "Atlantis"
|
||||
}
|
||||
val node = logElapsedTime("Node startup") { Node(dir, myNetAddr, config, null).start() }
|
||||
|
||||
|
||||
@ -15,12 +15,12 @@ import contracts.CommercialPaper
|
||||
import core.*
|
||||
import core.crypto.SecureHash
|
||||
import core.crypto.generateKeyPair
|
||||
import core.messaging.LegallyIdentifiableNode
|
||||
import core.messaging.SingleMessageRecipient
|
||||
import core.node.Node
|
||||
import core.node.NodeConfiguration
|
||||
import core.node.NodeConfigurationFromConfig
|
||||
import core.node.services.ArtemisMessagingService
|
||||
import core.node.services.LegallyIdentifiableNode
|
||||
import core.node.services.NodeAttachmentService
|
||||
import core.node.services.NodeWalletService
|
||||
import core.protocols.ProtocolLogic
|
||||
|
||||
@ -11,7 +11,7 @@ package protocols
|
||||
import co.paralleluniverse.fibers.Suspendable
|
||||
import core.*
|
||||
import core.crypto.DigitalSignature
|
||||
import core.messaging.LegallyIdentifiableNode
|
||||
import core.node.services.LegallyIdentifiableNode
|
||||
import core.messaging.SingleMessageRecipient
|
||||
import core.protocols.ProtocolLogic
|
||||
import core.utilities.ProgressTracker
|
||||
|
||||
@ -12,7 +12,7 @@ import co.paralleluniverse.fibers.Suspendable
|
||||
import core.Party
|
||||
import core.WireTransaction
|
||||
import core.crypto.DigitalSignature
|
||||
import core.messaging.LegallyIdentifiableNode
|
||||
import core.node.services.LegallyIdentifiableNode
|
||||
import core.messaging.MessageRecipients
|
||||
import core.messaging.StateMachineManager
|
||||
import core.node.services.NodeTimestamperService
|
||||
|
||||
@ -15,7 +15,7 @@ import contracts.sumCashBy
|
||||
import core.*
|
||||
import core.crypto.DigitalSignature
|
||||
import core.crypto.signWithECDSA
|
||||
import core.messaging.LegallyIdentifiableNode
|
||||
import core.node.services.LegallyIdentifiableNode
|
||||
import core.messaging.SingleMessageRecipient
|
||||
import core.messaging.StateMachineManager
|
||||
import protocols.TimestampingProtocol
|
||||
|
||||
756
src/main/resources/core/node/services/cities.txt
Normal file
756
src/main/resources/core/node/services/cities.txt
Normal file
@ -0,0 +1,756 @@
|
||||
# name longitude latitude
|
||||
Shanghai 121.47 31.23
|
||||
Bombay 72.82 18.96
|
||||
Karachi 67.01 24.86
|
||||
Buenos Aires -58.37 -34.61
|
||||
Delhi 77.21 28.67
|
||||
Istanbul 29 41.1
|
||||
Manila 120.97 14.62
|
||||
Sao Paulo -46.63 -23.53
|
||||
Moscow 37.62 55.75
|
||||
Dhaka 90.39 23.7
|
||||
Soul 126.99 37.56
|
||||
Lagos 3.35 6.5
|
||||
Kinshasa 15.32 -4.31
|
||||
Tokyo 139.77 35.67
|
||||
Mexico City -99.14 19.43
|
||||
Jakarta 106.83 -6.18
|
||||
New York -73.94 40.67
|
||||
Tehran 51.43 35.67
|
||||
Cairo 31.25 30.06
|
||||
Lima -77.05 -12.07
|
||||
Peking 116.4 39.93
|
||||
London -0.1 51.52
|
||||
Bogota -74.09 4.63
|
||||
Lahore 74.35 31.56
|
||||
Rio de Janeiro -43.2 -22.91
|
||||
Bangkok 100.5 13.73
|
||||
Bagdad 44.44 33.33
|
||||
Bangalore 77.56 12.97
|
||||
Santiago -70.64 -33.46
|
||||
Calcutta 88.36 22.57
|
||||
Singapore 103.85 1.3
|
||||
Toronto -79.38 43.65
|
||||
Rangoon 96.15 16.79
|
||||
Ibadan 3.93 7.38
|
||||
Riyadh 46.77 24.65
|
||||
Madras 80.27 13.09
|
||||
Chongqing 106.58 29.57
|
||||
Ho Chi Minh City 106.69 10.78
|
||||
Xian 108.9 34.27
|
||||
Wuhan 114.27 30.58
|
||||
Alexandria 29.95 31.22
|
||||
Saint Petersburg 30.32 59.93
|
||||
Hyderabad 78.48 17.4
|
||||
Chengdu 104.07 30.67
|
||||
Abidjan -4.03 5.33
|
||||
Ankara 32.85 39.93
|
||||
Ahmadabad 72.58 23.03
|
||||
Los Angeles -118.41 34.11
|
||||
Tianjin 117.2 39.13
|
||||
Chattagam 91.81 22.33
|
||||
Sydney 151.21 -33.87
|
||||
Yokohama 139.62 35.47
|
||||
Melbourne 144.96 -37.81
|
||||
Shenyang 123.45 41.8
|
||||
Cape Town 18.46 -33.93
|
||||
Berlin 13.38 52.52
|
||||
Pusan 129.03 35.11
|
||||
Montreal -73.57 45.52
|
||||
Harbin 126.65 45.75
|
||||
Durban 30.99 -29.87
|
||||
Gizeh 31.21 30.01
|
||||
Nanjing 118.78 32.05
|
||||
Casablanca -7.62 33.6
|
||||
Pune 73.84 18.53
|
||||
Addis Abeba 38.74 9.03
|
||||
Pyongyang 125.75 39.02
|
||||
Surat 72.82 21.2
|
||||
Madrid -3.71 40.42
|
||||
Guangzhou 113.25 23.12
|
||||
Jiddah 39.17 21.5
|
||||
Kanpur 80.33 26.47
|
||||
Nairobi 36.82 -1.29
|
||||
Jaipur 75.8 26.92
|
||||
Dar es Salaam 39.28 -6.82
|
||||
Salvador -38.5 -12.97
|
||||
Chicago -87.68 41.84
|
||||
Taiyuan 112.55 37.87
|
||||
al-Mawsil 43.14 36.34
|
||||
Faisalabad 73.11 31.41
|
||||
Changchun 125.35 43.87
|
||||
Izmir 27.15 38.43
|
||||
Taibei 121.45 25.02
|
||||
Osaka 135.5 34.68
|
||||
Lakhnau 80.92 26.85
|
||||
Kiev 30.52 50.43
|
||||
Luanda 13.24 -8.82
|
||||
Inchon 126.64 37.48
|
||||
Rome 12.5 41.89
|
||||
Dakar -17.48 14.72
|
||||
Belo Horizonte -43.94 -19.92
|
||||
Fortaleza -38.59 -3.78
|
||||
Mashhad 59.57 36.27
|
||||
Maracaibo -71.66 10.73
|
||||
Kabul 69.17 34.53
|
||||
Santo Domingo -69.91 18.48
|
||||
Taegu 128.6 35.87
|
||||
Brasilia -47.91 -15.78
|
||||
Umm Durman 32.48 15.65
|
||||
Nagpur 79.08 21.16
|
||||
Surabaya 112.74 -7.24
|
||||
Kano 8.52 12
|
||||
Medellin -75.54 6.29
|
||||
Accra -0.2 5.56
|
||||
Nagoya 136.91 35.15
|
||||
Benin 5.62 6.34
|
||||
Shijiazhuang 114.48 38.05
|
||||
Guayaquil -79.9 -2.21
|
||||
Changsha 112.97 28.2
|
||||
Houston -95.39 29.77
|
||||
Khartoum 32.52 15.58
|
||||
Paris 2.34 48.86
|
||||
Cali -76.52 3.44
|
||||
Algiers 3.04 36.77
|
||||
Jinan 117 36.67
|
||||
Havanna -82.39 23.13
|
||||
Tashkent 69.3 41.31
|
||||
Dalian 121.65 38.92
|
||||
Jilin 126.55 43.85
|
||||
Nanchang 115.88 28.68
|
||||
Zhengzhou 113.67 34.75
|
||||
Vancouver -123.13 49.28
|
||||
Johannesburg 28.04 -26.19
|
||||
Bayrut 35.5 33.89
|
||||
Douala 9.71 4.06
|
||||
Jiulong 114.17 22.32
|
||||
Caracas -66.93 10.54
|
||||
Kaduna 7.44 10.52
|
||||
Bucharest 26.1 44.44
|
||||
Ecatepec -99.05 19.6
|
||||
Sapporo 141.34 43.06
|
||||
Port Harcourt 7.01 4.81
|
||||
Hangzhou 120.17 30.25
|
||||
Rawalpindi 73.04 33.6
|
||||
San'a 44.21 15.38
|
||||
Conakry -13.67 9.55
|
||||
Curitiba -49.29 -25.42
|
||||
al-Basrah 47.82 30.53
|
||||
Brisbane 153.02 -27.46
|
||||
Xinyang 114.07 32.13
|
||||
Medan 98.67 3.59
|
||||
Indore 75.86 22.72
|
||||
Manaus -60.02 -3.12
|
||||
Kumasi -1.63 6.69
|
||||
Hamburg 10 53.55
|
||||
Rabat -6.84 34.02
|
||||
Minsk 27.55 53.91
|
||||
Patna 85.13 25.62
|
||||
Valencia -67.98 10.23
|
||||
Bhopal 77.4 23.24
|
||||
Soweto 27.84 -26.28
|
||||
Warsaw 21.02 52.26
|
||||
Qingdao 120.32 36.07
|
||||
Vienna 16.37 48.22
|
||||
Yaounde 11.52 3.87
|
||||
Dubai 55.33 25.27
|
||||
Thana 72.97 19.2
|
||||
Aleppo 37.17 36.23
|
||||
Bekasi 106.97 -6.22
|
||||
Budapest 19.08 47.51
|
||||
Bamako -7.99 12.65
|
||||
Ludhiana 75.84 30.91
|
||||
Harare 31.05 -17.82
|
||||
Esfahan 51.68 32.68
|
||||
Pretoria 28.22 -25.73
|
||||
Barcelona 2.17 41.4
|
||||
Lubumbashi 27.48 -11.66
|
||||
Bandung 107.6 -6.91
|
||||
Guadalajara -103.35 20.67
|
||||
Tangshan 118.19 39.62
|
||||
Muqdisho 45.33 2.05
|
||||
Phoenix -112.07 33.54
|
||||
Damascus 36.32 33.5
|
||||
Quito -78.5 -0.19
|
||||
Agra 78.01 27.19
|
||||
Urumqi 87.58 43.8
|
||||
Davao 125.63 7.11
|
||||
Santa Cruz -63.21 -17.77
|
||||
Antananarivo 47.51 -18.89
|
||||
Kobe 135.17 34.68
|
||||
Juarez -106.49 31.74
|
||||
Tijuana -117.02 32.53
|
||||
Recife -34.92 -8.08
|
||||
Multan 71.45 30.2
|
||||
Ha Noi 105.84 21.03
|
||||
Gaoxiong 120.27 22.63
|
||||
Belem -48.5 -1.44
|
||||
Cordoba -64.19 -31.4
|
||||
Kampala 32.58 0.32
|
||||
Lome 1.35 6.17
|
||||
Hyderabad 68.37 25.38
|
||||
Suzhou 120.62 31.3
|
||||
Vadodara 73.18 22.31
|
||||
Gujranwala 74.18 32.16
|
||||
Bursa 29.08 40.2
|
||||
Mbuji-Mayi 23.59 -6.13
|
||||
Pimpri 73.8 18.62
|
||||
Karaj 50.97 35.8
|
||||
Kyoto 135.75 35.01
|
||||
Tangerang 106.63 -6.18
|
||||
Aba 7.35 5.1
|
||||
Kharkiv 36.22 49.98
|
||||
Puebla -98.22 19.05
|
||||
Nashik 73.78 20.01
|
||||
Kuala Lumpur 101.71 3.16
|
||||
Philadelphia -75.13 40.01
|
||||
Fukuoka 130.41 33.59
|
||||
Taejon 127.43 36.33
|
||||
Lanzhou 103.68 36.05
|
||||
Mecca 39.82 21.43
|
||||
Shantou 116.67 23.37
|
||||
Koyang 126.93 37.7
|
||||
Hefei 117.28 31.85
|
||||
Novosibirsk 82.93 55.04
|
||||
Porto Alegre -51.22 -30.04
|
||||
Adana 35.32 37
|
||||
Makasar 119.41 -5.14
|
||||
Tabriz 46.3 38.08
|
||||
Narayanganj 90.5 23.62
|
||||
Faridabad 77.3 28.38
|
||||
Fushun 123.88 41.87
|
||||
Phnum Penh 104.92 11.57
|
||||
Luoyang 112.47 34.68
|
||||
Khulna 89.56 22.84
|
||||
Depok 106.83 -6.39
|
||||
Lusaka 28.29 -15.42
|
||||
Ghaziabad 77.41 28.66
|
||||
Handan 114.48 36.58
|
||||
San Antonio -98.51 29.46
|
||||
Kawasaki 139.7 35.53
|
||||
Kwangju 126.91 35.16
|
||||
Peshawar 71.54 34.01
|
||||
Rajkot 70.79 22.31
|
||||
Suwon 127.01 37.26
|
||||
Mandalay 96.09 21.98
|
||||
Almaty 76.92 43.32
|
||||
Munich 11.58 48.14
|
||||
Mirat 77.7 28.99
|
||||
Baotou 110.05 40.6
|
||||
Milan 9.19 45.48
|
||||
Rongcheng 116.34 23.54
|
||||
Kalyan 73.16 19.25
|
||||
Montevideo -56.17 -34.87
|
||||
Xianggangdao 114.14 22.27
|
||||
Yekaterinburg 60.6 56.85
|
||||
Ouagadougou -1.53 12.37
|
||||
Guarulhos -46.49 -23.46
|
||||
Semarang 110.42 -6.97
|
||||
Xuzhou 117.18 34.27
|
||||
Perth 115.84 -31.96
|
||||
Dallas -96.77 32.79
|
||||
Stockholm 18.07 59.33
|
||||
Palembang 104.75 -2.99
|
||||
San Diego -117.14 32.81
|
||||
Goiania -49.26 -16.72
|
||||
Gaziantep 37.39 37.07
|
||||
Nizhniy Novgorod 44 56.33
|
||||
Shiraz 52.57 29.63
|
||||
Rosario -60.67 -32.94
|
||||
Fuzhou 119.3 26.08
|
||||
Nezahualcoyotl -99.03 19.41
|
||||
Saitama 139.64 35.87
|
||||
Shenzhen 114.13 22.53
|
||||
Yerevan 44.52 40.17
|
||||
Tripoli 13.18 32.87
|
||||
Anshan 122.95 41.12
|
||||
Varanasi 83.01 25.32
|
||||
Guiyang 106.72 26.58
|
||||
Baku 49.86 40.39
|
||||
Wuxi 120.3 31.58
|
||||
Prague 14.43 50.08
|
||||
Brazzaville 15.26 -4.25
|
||||
Subang Jaya 101.53 3.15
|
||||
Leon -101.69 21.12
|
||||
Hiroshima 132.44 34.39
|
||||
Amritsar 74.87 31.64
|
||||
Huainan 116.98 32.63
|
||||
Barranquilla -74.8 10.96
|
||||
Monrovia -10.8 6.31
|
||||
'Amman 35.93 31.95
|
||||
Tbilisi 44.79 41.72
|
||||
Abuja 7.49 9.06
|
||||
Aurangabad 75.32 19.89
|
||||
Sofia 23.31 42.69
|
||||
Omsk 73.4 55
|
||||
Monterrey -100.32 25.67
|
||||
Port Elizabeth 25.59 -33.96
|
||||
Navi Mumbai 73.06 19.11
|
||||
Maputo 32.57 -25.95
|
||||
Allahabad 81.84 25.45
|
||||
Samara 50.15 53.2
|
||||
Belgrade 20.5 44.83
|
||||
Campinas -47.08 -22.91
|
||||
Sholapur 75.89 17.67
|
||||
Kazan 49.13 55.75
|
||||
Irbil 44.01 36.18
|
||||
Barquisimeto -69.3 10.05
|
||||
K?benhavn 12.58 55.67
|
||||
Xianyang 108.7 34.37
|
||||
Baoding 115.48 38.87
|
||||
Guatemala -90.55 14.63
|
||||
Maceio -35.75 -9.65
|
||||
Nova Iguacu -43.47 -22.74
|
||||
Kunming 102.7 25.05
|
||||
Taizhong 120.68 24.15
|
||||
Maiduguri 13.16 11.85
|
||||
Datong 113.3 40.08
|
||||
Dublin -6.25 53.33
|
||||
Jabalpur 79.94 23.17
|
||||
Visakhapatnam 83.3 17.73
|
||||
Rostov-na-Donu 39.71 47.24
|
||||
Dnipropetrovs'k 34.98 48.45
|
||||
Shubra-El-Khema 31.25 30.11
|
||||
Srinagar 74.79 34.09
|
||||
Benxi 123.75 41.33
|
||||
Brussels 4.33 50.83
|
||||
al-Madinah 39.59 24.48
|
||||
Adelaide 138.6 -34.93
|
||||
Zapopan -103.4 20.72
|
||||
Chelyabinsk 61.43 55.15
|
||||
Haora 88.33 22.58
|
||||
Calgary -114.06 51.05
|
||||
Sendai 140.89 38.26
|
||||
Tegucigalpa -87.22 14.09
|
||||
Ranchi 85.33 23.36
|
||||
Songnam 127.15 37.44
|
||||
Ilorin 4.55 8.49
|
||||
Fez -5 34.05
|
||||
Ufa 56.04 54.78
|
||||
Klang 101.45 3.04
|
||||
Chandigarh 76.78 30.75
|
||||
Ahvaz 48.72 31.28
|
||||
Koyampattur 76.96 11.01
|
||||
Cologne 6.97 50.95
|
||||
Qom 50.95 34.65
|
||||
Odesa 30.73 46.47
|
||||
Donetsk 37.82 48
|
||||
Jodhpur 73.02 26.29
|
||||
Sao Luis -44.3 -2.5
|
||||
Sao Goncalo -43.07 -22.84
|
||||
Kitakyushu 130.86 33.88
|
||||
Huaibei 116.75 33.95
|
||||
Perm 56.25 58
|
||||
Changzhou 119.97 31.78
|
||||
Maisuru 76.65 12.31
|
||||
Guwahati 91.75 26.19
|
||||
Volgograd 44.48 48.71
|
||||
Konya 32.48 37.88
|
||||
Naples 14.27 40.85
|
||||
Vijayawada 80.63 16.52
|
||||
Ulsan 129.31 35.55
|
||||
San Jose -121.85 37.3
|
||||
Birmingham -1.91 52.48
|
||||
Chiba 140.11 35.61
|
||||
Ciudad Guayana -62.62 8.37
|
||||
Kolwezi 25.66 -10.7
|
||||
Padang 100.35 -0.95
|
||||
Managua -86.27 12.15
|
||||
Mendoza -68.83 -32.89
|
||||
Gwalior 78.17 26.23
|
||||
Biskek 74.57 42.87
|
||||
Kathmandu 85.31 27.71
|
||||
El Alto -68.17 -16.5
|
||||
Niamey 2.12 13.52
|
||||
Kigali 30.06 -1.94
|
||||
Qiqihar 124 47.35
|
||||
Ulaanbaatar 106.91 47.93
|
||||
Krasnoyarsk 93.06 56.02
|
||||
Madurai 78.12 9.92
|
||||
Edmonton -113.54 53.57
|
||||
Asgabat 58.38 37.95
|
||||
al-H?artum Bah?ri 32.52 15.64
|
||||
Arequipa -71.53 -16.39
|
||||
Marrakesh -8 31.63
|
||||
Bandar Lampung 105.27 -5.44
|
||||
Pingdingshan 113.3 33.73
|
||||
Cartagena -75.5 10.4
|
||||
Hubli 75.13 15.36
|
||||
La Paz -68.15 -16.5
|
||||
Wenzhou 120.65 28.02
|
||||
Ottawa -75.71 45.42
|
||||
Johor Bahru 103.75 1.48
|
||||
Mombasa 39.66 -4.04
|
||||
Lilongwe 33.8 -13.97
|
||||
Turin 7.68 45.08
|
||||
Duque de Caxias -43.31 -22.77
|
||||
Abu Dhabi 54.37 24.48
|
||||
Jalandhar 75.57 31.33
|
||||
Warri 5.76 5.52
|
||||
Valencia -0.39 39.48
|
||||
Oslo 10.75 59.91
|
||||
Taian 117.12 36.2
|
||||
ad-Dammam 50.1 26.43
|
||||
Mira Bhayandar 72.85 19.29
|
||||
Salem 78.16 11.67
|
||||
Pietermaritzburg 30.39 -29.61
|
||||
Naucalpan -99.23 19.48
|
||||
H?ims 36.72 34.73
|
||||
Bhubaneswar 85.84 20.27
|
||||
Hamamatsu 137.73 34.72
|
||||
Saratov 46.03 51.57
|
||||
Detroit -83.1 42.38
|
||||
Kirkuk 44.39 35.47
|
||||
Sakai 135.48 34.57
|
||||
Onitsha 6.78 6.14
|
||||
Quetta 67.02 30.21
|
||||
Aligarh 78.06 27.89
|
||||
Voronezh 39.26 51.72
|
||||
Freetown -13.24 8.49
|
||||
Tucuman -65.22 -26.83
|
||||
Bogor 106.79 -6.58
|
||||
Niigata 139.04 37.92
|
||||
Thiruvananthapuram 76.95 8.51
|
||||
Jacksonville -81.66 30.33
|
||||
Bareli 79.41 28.36
|
||||
Cebu 123.9 10.32
|
||||
Kota 75.83 25.18
|
||||
Natal -35.22 -5.8
|
||||
Shihung 126.89 37.46
|
||||
Puchon 126.77 37.48
|
||||
Tiruchchirappalli 78.69 10.81
|
||||
Trujillo -79.03 -8.11
|
||||
Sharjah 55.41 25.37
|
||||
Kermanshah 47.06 34.38
|
||||
Qinhuangdao 119.62 39.93
|
||||
Anyang 114.35 36.08
|
||||
Bhiwandi 73.05 19.3
|
||||
an-Najaf 44.34 32
|
||||
Sao Bernardo do Campo -46.54 -23.71
|
||||
Teresina -42.8 -5.1
|
||||
Nanning 108.32 22.82
|
||||
Antalya 30.71 36.89
|
||||
Campo Grande -54.63 -20.45
|
||||
Indianapolis -86.15 39.78
|
||||
Jaboatao -35.02 -8.11
|
||||
Zaporizhzhya 35.17 47.85
|
||||
Hohhot 111.64 40.82
|
||||
Marseille 5.37 43.31
|
||||
Moradabad 78.76 28.84
|
||||
Zhangjiakou 114.93 40.83
|
||||
Liuzhou 109.25 24.28
|
||||
Nouakchott -15.98 18.09
|
||||
Rajshahi 88.59 24.37
|
||||
Yantai 121.4 37.53
|
||||
Tainan 120.19 23
|
||||
Xining 101.77 36.62
|
||||
Port-au-Prince -72.34 18.54
|
||||
Hegang 130.37 47.4
|
||||
Akure 5.19 7.25
|
||||
N'Djamena 15.05 12.11
|
||||
Guadalupe -100.26 25.68
|
||||
Cracow 19.96 50.06
|
||||
Malang 112.62 -7.98
|
||||
Hengyang 112.62 26.89
|
||||
Athens 23.73 37.98
|
||||
Puyang 114.98 35.7
|
||||
San Francisco -122.45 37.77
|
||||
Jerusalem 35.22 31.78
|
||||
Amsterdam 4.89 52.37
|
||||
?odz 19.46 51.77
|
||||
Merida -89.62 20.97
|
||||
Austin -97.75 30.31
|
||||
Abeokuta 3.35 7.16
|
||||
Xinxiang 113.87 35.32
|
||||
Raipur 81.63 21.24
|
||||
Tunis 10.22 36.84
|
||||
Columbus -82.99 39.99
|
||||
Chihuahua -106.08 28.63
|
||||
L'viv 24 49.83
|
||||
Cotonou 2.44 6.36
|
||||
Pekan Baru 101.43 0.56
|
||||
Blantyre 34.99 -15.79
|
||||
La Plata -57.96 -34.92
|
||||
Bulawayo 28.58 -20.17
|
||||
Tangier -5.81 35.79
|
||||
Kayseri 35.48 38.74
|
||||
Tolyatti 49.51 53.48
|
||||
Foshan 113.12 23.03
|
||||
Ningbo 121.55 29.88
|
||||
Langfang 116.68 39.52
|
||||
Ampang Jaya 101.77 3.15
|
||||
Liaoyang 123.18 41.28
|
||||
Riga 24.13 56.97
|
||||
Changzhi 111.75 35.22
|
||||
Kryvyy Rih 33.35 47.92
|
||||
Libreville 9.45 0.39
|
||||
Chonju 127.14 35.83
|
||||
Fort Worth -97.34 32.75
|
||||
as-Sulaymaniyah 45.43 35.56
|
||||
Osasco -46.78 -23.53
|
||||
Zamboanga 122.08 6.92
|
||||
Tlalnepantla -99.19 19.54
|
||||
Gorakhpur 83.36 26.76
|
||||
San Luis Potosi -100.98 22.16
|
||||
Sevilla -5.98 37.4
|
||||
Zhuzhou 113.15 27.83
|
||||
Zagreb 15.97 45.8
|
||||
Huangshi 115.1 30.22
|
||||
Puente Alto -70.57 -33.61
|
||||
Shaoguan 113.58 24.8
|
||||
Matola 32.46 -25.97
|
||||
Guilin 110.28 25.28
|
||||
Aguascalientes -102.3 21.88
|
||||
Shizuoka 138.39 34.98
|
||||
Benghazi 20.07 32.12
|
||||
Fuxin 121.65 42.01
|
||||
Joao Pessoa -34.86 -7.12
|
||||
Ipoh 101.07 4.6
|
||||
Contagem -44.1 -19.91
|
||||
Dushanbe 68.78 38.57
|
||||
Zhanjiang 110.38 21.2
|
||||
Xingtai 114.49 37.07
|
||||
Okayama 133.92 34.67
|
||||
Yogyakarta 110.37 -7.78
|
||||
Bhilai 81.38 21.21
|
||||
Zigong 104.78 29.4
|
||||
Mudanjiang 129.6 44.58
|
||||
Wahran -0.62 35.7
|
||||
Enugu 7.51 6.44
|
||||
Santo Andre -46.53 -23.65
|
||||
Colombo 79.85 6.93
|
||||
Chimalhuacan -98.96 19.44
|
||||
Shatian 114.19 22.38
|
||||
Memphis -90.01 35.11
|
||||
Kumamoto 130.71 32.8
|
||||
Sao Jose dos Campos -45.88 -23.2
|
||||
Zhangdian 118.06 36.8
|
||||
Acapulco -99.92 16.85
|
||||
Xiangtan 112.9 27.85
|
||||
Quebec -71.23 46.82
|
||||
Dasmarinas 120.93 14.33
|
||||
Zaria 7.71 11.08
|
||||
Nantong 120.82 32.02
|
||||
Charlotte -80.83 35.2
|
||||
Pointe Noire 11.87 -4.77
|
||||
Shaoyang 111.2 27
|
||||
Queretaro -100.4 20.59
|
||||
Hamilton -79.85 43.26
|
||||
Islamabad 73.06 33.72
|
||||
Panjin 122.05 41.18
|
||||
Saltillo -101 25.42
|
||||
Ansan 126.86 37.35
|
||||
Jamshedpur 86.2 22.79
|
||||
Zaragoza -0.89 41.65
|
||||
Cancun -86.83 21.17
|
||||
Dandong 124.4 40.13
|
||||
Frankfurt 8.68 50.12
|
||||
Palermo 13.36 38.12
|
||||
Haikou 110.32 20.05
|
||||
'Adan 45.03 12.79
|
||||
Amravati 77.76 20.95
|
||||
Winnipeg -97.17 49.88
|
||||
Sagamihara 139.38 35.58
|
||||
Zhangzhou 117.67 24.52
|
||||
Gazzah 34.44 31.53
|
||||
Kataka 85.88 20.47
|
||||
El Paso -106.44 31.85
|
||||
Krasnodar 38.98 45.03
|
||||
Kuching 110.34 1.55
|
||||
Wroc?aw 17.03 51.11
|
||||
Asmara 38.94 15.33
|
||||
Zhenjiang 119.43 32.22
|
||||
Baltimore -76.61 39.3
|
||||
Benoni 28.33 -26.15
|
||||
Mersin 34.63 36.81
|
||||
Izhevsk 53.23 56.85
|
||||
Yancheng 120.12 33.39
|
||||
Hermosillo -110.97 29.07
|
||||
Yuanlong 114.02 22.44
|
||||
Uberlandia -48.28 -18.9
|
||||
Ulyanovsk 48.4 54.33
|
||||
Bouake -5.03 7.69
|
||||
Santiago -70.69 19.48
|
||||
Mexicali -115.47 32.65
|
||||
Hai Phong 106.68 20.86
|
||||
Anyang 126.92 37.39
|
||||
Dadiangas 125.25 6.1
|
||||
Morelia -101.18 19.72
|
||||
Oshogbo 4.56 7.77
|
||||
Chongju 127.5 36.64
|
||||
Jos 8.89 9.93
|
||||
al-'Ayn 55.74 24.23
|
||||
Sorocaba -47.47 -23.49
|
||||
Bikaner 73.32 28.03
|
||||
Taizhou 119.9 32.49
|
||||
Antipolo 121.18 14.59
|
||||
Xiamen 118.08 24.45
|
||||
Cochabamba -66.17 -17.38
|
||||
Culiacan -107.39 24.8
|
||||
Yingkou 122.28 40.67
|
||||
Kagoshima 130.56 31.59
|
||||
Siping 124.33 43.17
|
||||
Orumiyeh 45 37.53
|
||||
Luancheng 114.65 37.88
|
||||
Diyarbak?r 40.23 37.92
|
||||
Yaroslavl 39.87 57.62
|
||||
Mixco -90.6 14.64
|
||||
Banjarmasin 114.59 -3.33
|
||||
Chisinau 28.83 47.03
|
||||
Djibouti 43.15 11.59
|
||||
Seattle -122.35 47.62
|
||||
Stuttgart 9.19 48.79
|
||||
Khabarovsk 135.12 48.42
|
||||
Rotterdam 4.48 51.93
|
||||
Jinzhou 121.1 41.12
|
||||
Kisangani 25.19 0.53
|
||||
San Pedro Sula -88.03 15.47
|
||||
Bengbu 117.33 32.95
|
||||
Irkutsk 104.24 52.33
|
||||
Shihezi 86.03 44.3
|
||||
Maracay -67.47 10.33
|
||||
Cucuta -72.51 7.88
|
||||
Bhavnagar 72.13 21.79
|
||||
Port Said 32.29 31.26
|
||||
Denver -104.87 39.77
|
||||
Genoa 8.93 44.42
|
||||
Jiangmen 113.08 22.58
|
||||
Dortmund 7.48 51.51
|
||||
Barnaul 83.75 53.36
|
||||
Washington -77.02 38.91
|
||||
Veracruz -96.14 19.19
|
||||
Ribeirao Preto -47.8 -21.17
|
||||
Vladivostok 131.9 43.13
|
||||
Mar del Plata -57.58 -38
|
||||
Boston -71.02 42.34
|
||||
Eskisehir 30.52 39.79
|
||||
Warangal 79.58 18.01
|
||||
Zahedan 60.83 29.5
|
||||
Essen 7 51.47
|
||||
Dusseldorf 6.79 51.24
|
||||
Kaifeng 114.35 34.85
|
||||
Kingston -76.8 17.99
|
||||
Glasgow -4.27 55.87
|
||||
Funabashi 139.99 35.7
|
||||
Shah Alam 101.56 3.07
|
||||
Maoming 110.87 21.92
|
||||
Hachioji 139.33 35.66
|
||||
Meknes -5.56 33.9
|
||||
Hamhung 127.54 39.91
|
||||
Villa Nueva -90.59 14.53
|
||||
Sargodha 72.67 32.08
|
||||
Las Vegas -115.22 36.21
|
||||
Resht 49.63 37.3
|
||||
Cangzhou 116.87 38.32
|
||||
Tanggu 117.67 39
|
||||
Helsinki 24.94 60.17
|
||||
Malaga -4.42 36.72
|
||||
Milwaukee -87.97 43.06
|
||||
Nashville -86.78 36.17
|
||||
Ife 4.56 7.48
|
||||
Changde 111.68 29.03
|
||||
at-Ta'if 40.38 21.26
|
||||
Surakarta 110.82 -7.57
|
||||
Poznan 16.9 52.4
|
||||
Barcelona -64.72 10.13
|
||||
Bloemfontein 26.23 -29.15
|
||||
Lopez Mateos -99.26 19.57
|
||||
Bangui 18.56 4.36
|
||||
Reynosa -98.28 26.08
|
||||
Xigong 114.25 22.33
|
||||
Cuiaba -56.09 -15.61
|
||||
Shiliguri 88.42 26.73
|
||||
Oklahoma City -97.51 35.47
|
||||
Louisville -85.74 38.22
|
||||
Jiamusi 130.35 46.83
|
||||
Huaiyin 119.03 33.58
|
||||
Welkom 26.73 -27.97
|
||||
Kolhapur 74.22 16.7
|
||||
Ulhasnagar 73.15 19.23
|
||||
Rajpur 88.44 22.44
|
||||
Bremen 8.81 53.08
|
||||
San Salvador -89.19 13.69
|
||||
Maanshan 118.48 31.73
|
||||
Tembisa 28.22 -25.99
|
||||
Banqiao 121.44 25.02
|
||||
Toluca -99.67 19.29
|
||||
Portland -122.66 45.54
|
||||
Gold Coast 153.44 -28.07
|
||||
Kota Kinabalu 116.07 5.97
|
||||
Vilnius 25.27 54.7
|
||||
Agadir -9.61 30.42
|
||||
Ajmer 74.64 26.45
|
||||
Orenburg 55.1 51.78
|
||||
Neijiang 105.05 29.58
|
||||
Salta -65.41 -24.79
|
||||
Guntur 80.44 16.31
|
||||
Novokuznetsk 87.1 53.75
|
||||
Yangzhou 119.43 32.4
|
||||
Durgapur 87.31 23.5
|
||||
Shashi 112.23 30.32
|
||||
Asuncion -57.63 -25.3
|
||||
Aparecida de Goiania -49.24 -16.82
|
||||
Ribeirao das Neves -44.08 -19.76
|
||||
Petaling Jaya 101.62 3.1
|
||||
Sangli-Miraj 74.57 16.86
|
||||
Dehra Dun 78.05 30.34
|
||||
Maturin -63.17 9.75
|
||||
Torreon -103.43 25.55
|
||||
Jiaozuo 113.22 35.25
|
||||
Zhuhai 113.57 22.28
|
||||
Nanded 77.29 19.17
|
||||
Suez 32.54 29.98
|
||||
Tyumen 65.53 57.15
|
||||
Albuquerque -106.62 35.12
|
||||
Cagayan 124.67 8.45
|
||||
Mwanza 32.89 -2.52
|
||||
Petare -66.83 10.52
|
||||
Soledad -74.77 10.92
|
||||
Uijongbu 127.04 37.74
|
||||
Yueyang 113.1 29.38
|
||||
Feira de Santana -38.97 -12.25
|
||||
Ta'izz 44.04 13.6
|
||||
Tucson -110.89 32.2
|
||||
Naberezhnyye Chelny 52.32 55.69
|
||||
Kerman 57.08 30.3
|
||||
Matsuyama 132.77 33.84
|
||||
Garoua 13.39 9.3
|
||||
Tlaquepaque -103.32 20.64
|
||||
Tuxtla Gutierrez -93.12 16.75
|
||||
Jamnagar 70.07 22.47
|
||||
Jammu 74.85 32.71
|
||||
Gulbarga 76.82 17.34
|
||||
Chiclayo -79.84 -6.76
|
||||
Hanover 9.73 52.4
|
||||
Bucaramanga -73.13 7.13
|
||||
Bahawalpur 71.67 29.39
|
||||
Goteborg 12.01 57.72
|
||||
Zhunmen 113.98 22.41
|
||||
Bhatpara 88.42 22.89
|
||||
Ryazan 39.74 54.62
|
||||
Calamba 121.15 14.21
|
||||
Changwon 128.62 35.27
|
||||
Aracaju -37.07 -10.91
|
||||
Zunyi 106.92 27.7
|
||||
Lipetsk 39.62 52.62
|
||||
Dresden 13.74 51.05
|
||||
Saharanpur 77.54 29.97
|
||||
H?amah 36.73 35.15
|
||||
Niyala 24.89 12.06
|
||||
San Nicolas de los Garza -100.3 25.75
|
||||
Higashiosaka 135.59 34.67
|
||||
al-H?illah 44.43 32.48
|
||||
Leipzig 12.4 51.35
|
||||
Xuchang 113.82 34.02
|
||||
Wuhu 118.37 31.35
|
||||
Boma 13.05 -5.85
|
||||
Kananga 22.4 -5.89
|
||||
Mykolayiv 32 46.97
|
||||
Atlanta -84.42 33.76
|
||||
Londrina -51.18 -23.3
|
||||
Tabuk 36.57 28.39
|
||||
Cuautitlan Izcalli -99.25 19.65
|
||||
Nuremberg 11.05 49.45
|
||||
Santa Fe -60.69 -31.6
|
||||
Joinville -48.84 -26.32
|
||||
Zurich 8.55 47.36
|
||||
@ -1,2 +1,3 @@
|
||||
myLegalName = "Vast Global MegaCorp, Ltd"
|
||||
exportJMXto = "http"
|
||||
exportJMXto = "http"
|
||||
nearestCity = "The Moon"
|
||||
@ -11,8 +11,8 @@ package core
|
||||
import com.codahale.metrics.MetricRegistry
|
||||
import core.crypto.*
|
||||
import core.messaging.MessagingService
|
||||
import core.messaging.MockNetworkMapService
|
||||
import core.messaging.NetworkMapService
|
||||
import core.node.services.MockNetworkMapService
|
||||
import core.node.services.NetworkMapService
|
||||
import core.node.services.*
|
||||
import core.serialization.SerializedBytes
|
||||
import core.serialization.deserialize
|
||||
|
||||
@ -12,9 +12,7 @@ import co.paralleluniverse.fibers.Suspendable
|
||||
import core.*
|
||||
import core.crypto.SecureHash
|
||||
import core.messaging.*
|
||||
import core.node.services.NodeTimestamperService
|
||||
import core.node.services.ServiceHub
|
||||
import core.node.services.TimestampingError
|
||||
import core.node.services.*
|
||||
import core.protocols.ProtocolLogic
|
||||
import core.serialization.serialize
|
||||
import core.testing.InMemoryMessagingNetwork
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user