2017-10-24 14:02:24 +03:00
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"""
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Example sentences to test spaCy and its language models.
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>>> from spacy.lang.ja.examples import sentences
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>>> docs = nlp.pipe(sentences)
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"""
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sentences = [
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💫 Tidy up and auto-format .py files (#2983)
<!--- Provide a general summary of your changes in the title. -->
## Description
- [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files.
- [x] Update flake8 config to exclude very large files (lemmatization tables etc.)
- [x] Update code to be compatible with flake8 rules
- [x] Fix various small bugs, inconsistencies and messy stuff in the language data
- [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means)
Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results.
At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information.
### Types of change
enhancement, code style
## Checklist
<!--- Before you submit the PR, go over this checklist and make sure you can
tick off all the boxes. [] -> [x] -->
- [x] I have submitted the spaCy Contributor Agreement.
- [x] I ran the tests, and all new and existing tests passed.
- [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 19:03:03 +03:00
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"アップルがイギリスの新興企業を１０億ドルで購入を検討",
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"自動運転車の損害賠償責任、自動車メーカーに一定の負担を求める",
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"歩道を走る自動配達ロボ、サンフランシスコ市が走行禁止を検討",
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"ロンドンはイギリスの大都市です。",
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2017-10-24 14:02:24 +03:00
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]
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