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pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
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59 lines
1.3 KiB
59 lines
1.3 KiB
export type Label = {[key: string]: number}
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export type User = {[key: string]: number}
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export class Statistics {
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constructor(
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public label: Label,
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public userLabel: User,
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public total: number,
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public remaining: number,
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public user: User
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) {}
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static valueOf(
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{ label, user_label, total, remaining, user }:
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{
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label: Label,
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user_label: User,
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total: number,
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remaining: number,
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user: User
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}
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): Statistics {
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return new Statistics(label, user_label, total, remaining, user)
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}
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private makeData(object: Label | User, label: string) {
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const labels = object ? Object.keys(object) : []
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const counts = object ? Object.values(object) : []
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return {
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labels,
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datasets: [{
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label,
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backgroundColor: '#00d1b2',
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data: counts
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}]
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}
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}
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public labelStats(label: string) {
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return this.makeData(this.label, label)
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}
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public userStats(label: string) {
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return this.makeData(this.user, label)
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}
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public progress(labels: string[]) {
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const complete = this.total - this.remaining
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const incomplete = this.remaining
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return {
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datasets: [{
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data: [complete, incomplete],
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backgroundColor: ['#00d1b2', '#ffdd57']
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}],
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labels
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}
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}
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}
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