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README.md
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README.md
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# numass/numass
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Troitsk nu-mass data processing and analysis
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## Getting Started
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Download links:
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SSH clone URL: ssh://git@git.jetbrains.space/mipt-npm/numass/numass.git
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HTTPS clone URL: https://git.jetbrains.space/mipt-npm/numass/numass.git
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These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
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## Prerequisites
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What things you need to install the software and how to install them.
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```
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Examples
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```
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## Deployment
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Add additional notes about how to deploy this on a production system.
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## Resources
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Add links to external resources for this project, such as CI server, bug tracker, etc.
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@ -13,6 +13,7 @@ allprojects {
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}
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val dataforgeVersion by extra("0.5.2")
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val tablesVersion: String by extra("0.1.1")
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val kmathVersion by extra("0.3.0-dev-17")
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val plotlyVersion: String by extra("0.5.0")
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@ -7,13 +7,14 @@ plugins {
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val dataforgeVersion: String by rootProject.extra
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val kmathVersion: String by rootProject.extra
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val tablesVersion: String by rootProject.extra
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kotlin.sourceSets {
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commonMain {
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dependencies {
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api(project(":numass-data-model"))
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api("space.kscience:dataforge-io:$dataforgeVersion")
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api("space.kscience:tables-kt:0.1.1-dev-2")
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api("space.kscience:tables-kt:$tablesVersion")
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api("space.kscience:kmath-complex:$kmathVersion")
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api("space.kscience:kmath-stat:$kmathVersion")
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api("space.kscience:kmath-histograms:$kmathVersion")
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@ -24,9 +24,9 @@ import ru.inr.mass.data.api.SignalProcessor
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import space.kscience.dataforge.meta.Meta
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import space.kscience.dataforge.meta.get
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import space.kscience.dataforge.meta.int
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import space.kscience.dataforge.tables.RowTable
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import space.kscience.dataforge.tables.Table
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import space.kscience.dataforge.values.Value
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import space.kscience.tables.RowTable
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import space.kscience.tables.Table
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/**
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* Created by darksnake on 11.07.2017.
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@ -29,10 +29,10 @@ import ru.inr.mass.data.api.NumassPoint.Companion.LENGTH_KEY
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import space.kscience.dataforge.meta.*
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import space.kscience.dataforge.meta.descriptors.Described
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import space.kscience.dataforge.names.asName
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import space.kscience.dataforge.tables.*
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import space.kscience.dataforge.values.*
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import space.kscience.kmath.histogram.Counter
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import space.kscience.kmath.histogram.LongCounter
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import space.kscience.tables.*
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import kotlin.math.max
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import kotlin.math.min
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import kotlin.math.pow
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@ -26,10 +26,10 @@ import space.kscience.dataforge.meta.Meta
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import space.kscience.dataforge.meta.descriptors.MetaDescriptor
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import space.kscience.dataforge.meta.get
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import space.kscience.dataforge.meta.string
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import space.kscience.dataforge.tables.Table
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import space.kscience.dataforge.values.Value
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import space.kscience.dataforge.values.asValue
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import space.kscience.dataforge.values.setValue
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import space.kscience.tables.Table
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/**
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* An analyzer dispatcher which uses different analyzer for different meta
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@ -10,6 +10,7 @@ import space.kscience.dataforge.meta.get
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import space.kscience.dataforge.meta.string
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import space.kscience.dataforge.values.ListValue
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import java.nio.file.Path
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import kotlin.test.Ignore
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import kotlin.test.assertEquals
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class TestNumassDirectory {
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@ -30,6 +31,7 @@ class TestNumassDirectory {
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}
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@Test
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@Ignore
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fun testTQDCRead() = runBlocking {
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val pointPath = Path.of("C:\\Users\\altavir\\Desktop\\p20211122173034(20s).dat")
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val point: NumassPoint = context.readNumassPointFile(pointPath)!!
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