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test:
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suites:
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- name: Natural Language V1
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cases:
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- name: Analyze Syntax
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spec:
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- call: {sample: language_syntax_text}
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- assert_contains:
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- literal: "Text: This"
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- literal: "Text: is"
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- literal: "Text: short"
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- literal: "Text: sentence"
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- literal: "Text: ."
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- name: Analyze Syntax – GCS
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spec:
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- call:
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sample: language_syntax_gcs
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- assert_contains:
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- literal: "Text: This"
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- literal: "Text: is"
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- literal: "Text: short"
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- literal: "Text: sentence"
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- literal: "Text: ."
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- name: Analyze Sentiment
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spec:
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- call: {sample: language_sentiment_text}
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- assert_contains:
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# Default message should return positive: 'I am so happy and joyful'
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- literal: "Sentiment score: 0."
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- literal: "Magnitude: 0."
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- name: Analyze Sentiment – Negative
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spec:
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- call:
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sample: language_sentiment_text
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params:
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text_content:
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literal: "I am so sad and upset."
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- assert_contains:
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- literal: "Sentiment score: -0."
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- literal: "Magnitude: 0."
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- name: Analyze Sentiment – GCS
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spec:
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- call: {sample: language_sentiment_gcs}
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- assert_contains:
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# Default message should return positive: 'I am so happy and joyful'
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- literal: "Sentiment score: 0."
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- literal: "Magnitude: 0."
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- name: Analyze Sentiment – GCS – Negative
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spec:
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- call:
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sample: language_sentiment_gcs
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params:
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gcs_uri:
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literal: "gs://cloud-samples-data/language/sentiment-negative.txt"
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- assert_contains:
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- literal: "Sentiment score: -0."
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- literal: "Magnitude: 0."
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- name: Analyze Entities
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spec:
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- call: {sample: language_entities_text}
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- assert_contains:
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- literal: "Entity name: California"
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- literal: "Entity salience score: 1"
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- literal: "Mention: California"
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- literal: "Mention: state"
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- name: Analyze Entities – GCS
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spec:
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- call: {sample: language_entities_gcs}
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- assert_contains:
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- literal: "Entity name: California"
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- literal: "Entity salience score: 1"
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- literal: "Mention: California"
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- literal: "Mention: state"
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- name: Analyze Entity Sentiment
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spec:
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- call: {sample: language_entity_sentiment_text}
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- assert_contains:
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- literal: "Entity name: Grapes"
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- literal: "Entity sentiment score: 0."
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- literal: "Mention: Grapes"
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- literal: "Mention sentiment score: 0."
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- literal: "Mention sentiment magnitude: 0."
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- literal: "Entity name: Bananas"
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- literal: "Entity sentiment score: -0."
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- literal: "Mention: Bananas"
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- literal: "Mention sentiment score: -0."
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- name: Analyze Entity Sentiment – GCS
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spec:
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- call: {sample: language_entity_sentiment_gcs}
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- assert_contains:
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- literal: "Entity name: Grapes"
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- literal: "Entity sentiment score: 0."
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- literal: "Mention: Grapes"
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- literal: "Mention sentiment score: 0."
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- literal: "Mention sentiment magnitude: 0."
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- literal: "Entity name: Bananas"
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- literal: "Entity sentiment score: -0."
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- literal: "Mention: Bananas"
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- literal: "Mention sentiment score: -0."
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- name: Classify Text
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spec:
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- call: {sample: language_classify_text}
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- assert_contains:
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- literal: "Category name: /Arts & Entertainment"
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- literal: "Confidence: 0."
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- name: Classify Text – GCS
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spec:
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- call: {sample: language_classify_gcs}
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- assert_contains:
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- literal: "Category name: /Arts & Entertainment"
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- literal: "Confidence: 0."
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