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pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
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74 lines
1.7 KiB
74 lines
1.7 KiB
<template>
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<v-menu>
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<template #activator="{ on: menu }">
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<v-tooltip bottom>
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<template #activator="{ on: tooltip }">
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<v-btn icon v-on="{ ...tooltip, ...menu }">
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<v-icon>
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{{ mdiSort }}
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</v-icon>
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</v-btn>
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</template>
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<span>{{ $t('annotation.selectFilterTooltip') }}</span>
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</v-tooltip>
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</template>
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<v-list>
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<v-list-item-group v-model="selected">
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<v-list-item v-for="(item, i) in items" :key="i">
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<v-list-item-icon>
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<v-icon v-if="selected === i">
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{{ mdiCheck }}
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</v-icon>
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</v-list-item-icon>
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<v-list-item-content>
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<v-list-item-title>
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{{ item.title }}
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</v-list-item-title>
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</v-list-item-content>
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</v-list-item>
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</v-list-item-group>
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</v-list>
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</v-menu>
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</template>
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<script>
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import { mdiSort, mdiCheck } from '@mdi/js'
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export default {
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props: {
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value: {
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type: String,
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default: '',
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required: true
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}
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},
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data() {
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return {
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items: [
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{ title: 'Lowest score first', param: 'score' },
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{ title: 'Highest score first', param: '-score' }
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],
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mdiSort,
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mdiCheck
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}
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},
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computed: {
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selected: {
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get() {
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const index = this.items.findIndex((item) => item.param === this.value)
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return index === -1 ? undefined : index
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},
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set(value) {
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console.log(value)
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if (value !== undefined) {
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this.$emit('click:order', this.items[value].param)
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} else {
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this.$emit('click:order', '')
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}
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}
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}
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}
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}
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</script>
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