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annotate pkg/common/nashsutcliffe.go @ 3055:b3c24c47931c

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client: layers legend: support multiple maps If there is more than one map, there's a layer checkbox for each of them, so layers can be toggle for each map separately.
author Markus Kottlaender <markus@intevation.de>
date Tue, 16 Apr 2019 09:26:51 +0200
parents 4f66a3ba424b
children 014be2194bd1
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1 // This is Free Software under GNU Affero General Public License v >= 3.0
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2 // without warranty, see README.md and license for details.
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3 //
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4 // SPDX-License-Identifier: AGPL-3.0-or-later
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5 // License-Filename: LICENSES/AGPL-3.0.txt
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6 //
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7 // Copyright (C) 2019 by via donau
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8 // – Österreichische Wasserstraßen-Gesellschaft mbH
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9 // Software engineering by Intevation GmbH
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10 //
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11 // Author(s):
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12 // * Sascha L. Teichmann <sascha.teichmann@intevation.de>
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13
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14 package common
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15
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16 import (
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17 "math"
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18 "sort"
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19 "time"
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20 )
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21
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22 type NSMeasurement struct {
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23 When time.Time
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24 Predicted float64
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25 Observed float64
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26 }
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27
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28 func (m NSMeasurement) Valid() bool {
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29 return !m.When.IsZero() && !math.IsNaN(m.Predicted) && !math.IsNaN(m.Observed)
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30 }
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31
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32 func NashSutcliffeSort(measurements []NSMeasurement) {
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33 sort.Slice(measurements, func(i, j int) bool {
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34 return measurements[i].When.Before(measurements[j].When)
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35 })
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36 }
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37
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38 func NashSutcliffe(measurements []NSMeasurement, from, to time.Time) (float64, int) {
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39
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40 if len(measurements) == 0 {
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41 return 0, 0
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42 }
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43
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44 if to.Before(from) {
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45 from, to = to, from
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46 }
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47
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48 begin := sort.Search(len(measurements), func(i int) bool {
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49 return !measurements[i].When.Before(from)
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50 })
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51 if begin >= len(measurements) {
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52 return 0, 0
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53 }
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54
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55 end := sort.Search(len(measurements), func(i int) bool {
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56 return measurements[i].When.After(to)
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57 })
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58 if end >= len(measurements) {
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59 end = len(measurements) - 1
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60 }
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61 if end <= begin {
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62 return 0, 0
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63 }
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64 sample := measurements[begin:end]
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65
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66 if len(sample) == 0 {
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67 return 0, 0
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68 }
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69
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70 var mo float64
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71 for i := range sample {
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72 mo += sample[i].Observed
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73 }
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74
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75 mo /= float64(len(sample))
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76
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77 var num, denom float64
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78 for i := range sample {
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79 d1 := sample[i].Predicted - sample[i].Observed
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80 num += d1 * d1
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81 d2 := sample[i].Observed - mo
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82 denom += d2 * d2
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83 }
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84
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85 return 1 - num/denom, len(sample)
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86 }