mirror of https://github.com/explosion/spaCy.git
Update universe example codes (#9422)
* Update universe plugins * Adjust azure trigger * Add init to tests/universe * deliberatly trying to break the universe to see if the CI catches it * revert Co-authored-by: svlandeg <svlandeg@github.com>
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@ -16,6 +16,8 @@ pr:
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exclude:
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exclude:
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- "website/*"
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- "website/*"
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- "*.md"
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- "*.md"
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include:
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- "website/meta/universe.json"
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jobs:
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jobs:
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# Perform basic checks for most important errors (syntax etc.) Uses the config
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# Perform basic checks for most important errors (syntax etc.) Uses the config
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@ -1363,20 +1363,19 @@
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"url": "https://explosion.ai/demos/sense2vec",
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"url": "https://explosion.ai/demos/sense2vec",
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"code_example": [
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"code_example": [
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"import spacy",
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"import spacy",
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"from sense2vec import Sense2VecComponent",
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"",
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"",
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"nlp = spacy.load('en')",
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"nlp = spacy.load(\"en_core_web_sm\")",
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"s2v = Sense2VecComponent('/path/to/reddit_vectors-1.1.0')",
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"s2v = nlp.add_pipe(\"sense2vec\")",
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"nlp.add_pipe(s2v)",
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"s2v.from_disk(\"/path/to/s2v_reddit_2015_md\")",
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"",
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"",
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"doc = nlp(\"A sentence about natural language processing.\")",
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"doc = nlp(\"A sentence about natural language processing.\")",
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"assert doc[3].text == 'natural language processing'",
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"assert doc[3:6].text == \"natural language processing\"",
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"freq = doc[3]._.s2v_freq",
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"freq = doc[3:6]._.s2v_freq",
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"vector = doc[3]._.s2v_vec",
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"vector = doc[3:6]._.s2v_vec",
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"most_similar = doc[3]._.s2v_most_similar(3)",
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"most_similar = doc[3:6]._.s2v_most_similar(3)",
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"# [(('natural language processing', 'NOUN'), 1.0),",
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"# [(('machine learning', 'NOUN'), 0.8986967),",
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"# (('machine learning', 'NOUN'), 0.8986966609954834),",
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"# (('computer vision', 'NOUN'), 0.8636297),",
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"# (('computer vision', 'NOUN'), 0.8636297583580017)]"
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"# (('deep learning', 'NOUN'), 0.8573361)]"
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],
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],
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"category": ["pipeline", "standalone", "visualizers"],
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"category": ["pipeline", "standalone", "visualizers"],
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"tags": ["vectors"],
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"tags": ["vectors"],
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@ -2970,11 +2969,10 @@
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"github": "thomasthiebaud/spacy-fastlang",
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"github": "thomasthiebaud/spacy-fastlang",
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"pip": "spacy_fastlang",
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"pip": "spacy_fastlang",
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"code_example": [
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"code_example": [
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"import spacy",
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"import spacy_fastlang",
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"from spacy_fastlang import LanguageDetector",
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"",
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"",
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"nlp = spacy.load('en_core_web_sm')",
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"nlp = spacy.load(\"en_core_web_sm\")",
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"nlp.add_pipe(LanguageDetector())",
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"nlp.add_pipe(\"language_detector\")",
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"doc = nlp('Life is like a box of chocolates. You never know what you are gonna get.')",
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"doc = nlp('Life is like a box of chocolates. You never know what you are gonna get.')",
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"",
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"",
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"assert doc._.language == 'en'",
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"assert doc._.language == 'en'",
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