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https://gitlab.ub.uni-bielefeld.de/sfb1288inf/nopaque.git
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Merge branch 'development' of gitlab.ub.uni-bielefeld.de:sfb1288inf/nopaque into development
This commit is contained in:
commit
ce96de240d
@ -120,6 +120,7 @@
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version: '3.4.0'
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compatible_service_versions:
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- '0.1.1'
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- '0.1.2'
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- title: 'German'
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description: 'German pipeline optimized for CPU. Components: tok2vec, tagger, morphologizer, parser, lemmatizer (trainable_lemmatizer), senter, ner.'
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url: 'https://github.com/explosion/spacy-models/releases/download/de_core_news_md-3.4.0/de_core_news_md-3.4.0.tar.gz'
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@ -131,6 +132,7 @@
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version: '3.4.0'
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compatible_service_versions:
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- '0.1.1'
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- '0.1.2'
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- title: 'Greek'
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description: 'Greek pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, lemmatizer (trainable_lemmatizer), senter, ner, attribute_ruler.'
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url: 'https://github.com/explosion/spacy-models/releases/download/el_core_news_md-3.4.0/el_core_news_md-3.4.0.tar.gz'
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@ -142,6 +144,7 @@
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version: '3.4.0'
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compatible_service_versions:
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- '0.1.1'
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- '0.1.2'
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- title: 'English'
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description: 'English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.'
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url: 'https://github.com/explosion/spacy-models/releases/download/en_core_web_md-3.4.1/en_core_web_md-3.4.1.tar.gz'
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@ -153,6 +156,7 @@
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version: '3.4.1'
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compatible_service_versions:
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- '0.1.1'
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- '0.1.2'
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- title: 'Spanish'
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description: 'Spanish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.'
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url: 'https://github.com/explosion/spacy-models/releases/download/es_core_news_md-3.4.0/es_core_news_md-3.4.0.tar.gz'
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@ -164,6 +168,7 @@
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version: '3.4.0'
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compatible_service_versions:
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- '0.1.1'
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- '0.1.2'
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- title: 'French'
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description: 'French pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.'
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url: 'https://github.com/explosion/spacy-models/releases/download/fr_core_news_md-3.4.0/fr_core_news_md-3.4.0.tar.gz'
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@ -175,6 +180,7 @@
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version: '3.4.0'
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compatible_service_versions:
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- '0.1.1'
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- '0.1.2'
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- title: 'Italian'
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description: 'Italian pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, parser, lemmatizer (trainable_lemmatizer), senter, ner'
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url: 'https://github.com/explosion/spacy-models/releases/download/it_core_news_md-3.4.0/it_core_news_md-3.4.0.tar.gz'
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@ -186,6 +192,7 @@
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version: '3.4.0'
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compatible_service_versions:
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- '0.1.1'
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- '0.1.2'
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- title: 'Polish'
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description: 'Polish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, lemmatizer (trainable_lemmatizer), tagger, senter, ner.'
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url: 'https://github.com/explosion/spacy-models/releases/download/pl_core_news_md-3.4.0/pl_core_news_md-3.4.0.tar.gz'
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@ -197,6 +204,7 @@
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version: '3.4.0'
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compatible_service_versions:
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- '0.1.1'
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- '0.1.2'
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- title: 'Russian'
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description: 'Russian pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.'
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url: 'https://github.com/explosion/spacy-models/releases/download/ru_core_news_md-3.4.0/ru_core_news_md-3.4.0.tar.gz'
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@ -208,6 +216,7 @@
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version: '3.4.0'
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compatible_service_versions:
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- '0.1.1'
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- '0.1.2'
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- title: 'Chinese'
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description: 'Chinese pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler.'
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url: 'https://github.com/explosion/spacy-models/releases/download/zh_core_web_md-3.4.0/zh_core_web_md-3.4.0.tar.gz'
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@ -219,3 +228,4 @@
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version: '3.4.0'
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compatible_service_versions:
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- '0.1.1'
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- '0.1.2'
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@ -558,6 +558,18 @@ class User(HashidMixin, UserMixin, db.Model):
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self.profile_privacy_settings = 0
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#endregion Profile Privacy settings
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def follow_corpus(self, corpus):
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if not self.is_following(corpus):
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self.followed_corpora.append(corpus)
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def unfollow_corpus(self, corpus):
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if self.is_following(corpus):
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self.followed_corpora.remove(corpus)
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def is_following_corpus(self, corpus):
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return self.followed_corpora.filter(
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corpus_followers.c.corpus_id == corpus.id).count() > 0
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def to_json_serializeable(self, backrefs=False, relationships=False, filter_by_privacy_settings=False):
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json_serializeable = {
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'id': self.hashid,
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@ -41,7 +41,7 @@ transkribus-htr-pipeline:
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spacy-nlp-pipeline:
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name: 'SpaCy NLP Pipeline'
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publisher: 'Bielefeld University - CRC 1288 - INF'
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latest_version: '0.1.1'
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latest_version: '0.1.2'
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versions:
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0.1.0:
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methods:
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@ -53,3 +53,8 @@ spacy-nlp-pipeline:
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- 'encoding_detection'
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publishing_year: 2022
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url: 'https://gitlab.ub.uni-bielefeld.de/sfb1288inf/spacy-nlp-pipeline/-/releases/v0.1.1'
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0.1.2:
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methods:
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- 'encoding_detection'
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publishing_year: 2022
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url: 'https://gitlab.ub.uni-bielefeld.de/sfb1288inf/spacy-nlp-pipeline/-/releases/v0.1.2'
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@ -14,6 +14,7 @@ class ConcordanceQueryBuilder {
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queryBuilderTutorialModal: document.querySelector('#query-builder-tutorial-modal'),
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valueValidator: true,
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//#region QueryBuilder Elements
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positionalAttrButton: document.querySelector('#positional-attr-button'),
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@ -175,6 +176,7 @@ class ConcordanceQueryBuilder {
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closeQueryBuilderModal(closeInstance) {
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let instance = M.Modal.getInstance(closeInstance);
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instance.close();
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}
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showPositionalAttrArea() {
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@ -362,7 +364,7 @@ class ConcordanceQueryBuilder {
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}
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clearAll() {
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// Everything is reset. After 5 seconds for 5 seconds (with 'instance'), a message is displayed indicating that further information can be obtained via the question mark icon
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// Everything is reset.
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let instance = M.Tooltip.getInstance(this.elements.queryBuilderTutorialInfoIcon);
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this.hideEverything();
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@ -375,16 +377,20 @@ class ConcordanceQueryBuilder {
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this.elements.entity.innerHTML = 'Entity';
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this.elements.sentence.innerHTML = 'Sentence';
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// If the Modal is open after 5 seconds for 5 seconds (with 'instance'), a message is displayed indicating that further information can be obtained via the question mark icon
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instance.tooltipEl.style.background = '#98ACD2';
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instance.tooltipEl.style.borderTop = 'solid 4px #0064A3';
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instance.tooltipEl.style.padding = '10px';
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instance.tooltipEl.style.color = 'black';
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setTimeout(() => {
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let modalInstance = M.Modal.getInstance(this.elements.concordanceQueryBuilder);
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if (modalInstance.isOpen) {
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instance.open();
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setTimeout(() => {
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instance.close();
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}, 5000);
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}
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}, 5000);
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}
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