Rename all MDX file to .mdx

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Marcus Blättermann 2022-11-10 03:40:44 +01:00
parent 96c9cf3448
commit b6310d4ce9
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88 changed files with 24 additions and 24 deletions

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@ -3,6 +3,6 @@ title: Library Architecture
next: /api/architectures
---
import Architecture101 from 'usage/101/\_architecture.md'
import Architecture101 from 'usage/101/\_architecture.mdx'
<Architecture101 />

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@ -539,7 +539,7 @@ sit amet dignissim justo congue.
## Markdown reference {#markdown}
All page content and page meta lives in the `.md` files in the `/docs`
All page content and page meta lives in the `.mdx` files in the `/docs`
directory. The frontmatter block at the top of each file defines the page title
and other settings like the sidebar menu.

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@ -69,7 +69,7 @@ pipeline, which is less accurate but much cheaper to run.
> gold-standard segmentation and tokenization, from a pretty specific type of
> text (articles from a single newspaper, 1984-1989).
import Benchmarks from 'usage/\_benchmarks-models.md'
import Benchmarks from 'usage/\_benchmarks-models.mdx'
<Benchmarks />

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@ -28,7 +28,7 @@ annotations.
## Part-of-speech tagging {#pos-tagging model="tagger, parser"}
import PosDeps101 from 'usage/101/\_pos-deps.md'
import PosDeps101 from 'usage/101/\_pos-deps.mdx'
<PosDeps101 />
@ -536,7 +536,7 @@ with new examples.
### Named Entity Recognition 101 {#named-entities-101}
import NER101 from 'usage/101/\_named-entities.md'
import NER101 from 'usage/101/\_named-entities.mdx'
<NER101 />
@ -785,7 +785,7 @@ during tokenization. This is kind of a core principle of spaCy's `Doc` object:
</Infobox>
import Tokenization101 from 'usage/101/\_tokenization.md'
import Tokenization101 from 'usage/101/\_tokenization.mdx'
<Tokenization101 />
@ -1868,7 +1868,7 @@ initialized before training. See the
## Word vectors and semantic similarity {#vectors-similarity}
import Vectors101 from 'usage/101/\_vectors-similarity.md'
import Vectors101 from 'usage/101/\_vectors-similarity.mdx'
<Vectors101 />
@ -1998,7 +1998,7 @@ for word, vector in vector_data.items():
## Language Data {#language-data}
import LanguageData101 from 'usage/101/\_language-data.md'
import LanguageData101 from 'usage/101/\_language-data.mdx'
<LanguageData101 />

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@ -12,7 +12,7 @@ menu:
- ['Plugins & Wrappers', 'plugins']
---
import Pipelines101 from 'usage/101/\_pipelines.md'
import Pipelines101 from 'usage/101/\_pipelines.mdx'
<Pipelines101 />

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@ -10,7 +10,7 @@ menu:
## Basics {#basics hidden="true"}
import Serialization101 from 'usage/101/\_serialization.md'
import Serialization101 from 'usage/101/\_serialization.mdx'
<Serialization101 />

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@ -191,7 +191,7 @@ text with spaCy.
### Tokenization {#annotations-token}
import Tokenization101 from 'usage/101/\_tokenization.md'
import Tokenization101 from 'usage/101/\_tokenization.mdx'
<Tokenization101 />
@ -207,7 +207,7 @@ language-specific data**, see the usage guides on
### Part-of-speech tags and dependencies {#annotations-pos-deps model="parser"}
import PosDeps101 from 'usage/101/\_pos-deps.md'
import PosDeps101 from 'usage/101/\_pos-deps.mdx'
<PosDeps101 />
@ -222,7 +222,7 @@ how to **navigate and use the parse tree** effectively, see the usage guides on
### Named Entities {#annotations-ner model="ner"}
import NER101 from 'usage/101/\_named-entities.md'
import NER101 from 'usage/101/\_named-entities.mdx'
<NER101 />
@ -238,7 +238,7 @@ of a model, see the usage guides on
### Word vectors and similarity {#vectors-similarity model="vectors"}
import Vectors101 from 'usage/101/\_vectors-similarity.md'
import Vectors101 from 'usage/101/\_vectors-similarity.mdx'
<Vectors101 />
@ -252,7 +252,7 @@ To learn more about word vectors, how to **customize them** and how to load
## Pipelines {#pipelines}
import Pipelines101 from 'usage/101/\_pipelines.md'
import Pipelines101 from 'usage/101/\_pipelines.mdx'
<Pipelines101 />
@ -266,7 +266,7 @@ guide on [language processing pipelines](/usage/processing-pipelines).
## Architecture {#architecture}
import Architecture101 from 'usage/101/\_architecture.md'
import Architecture101 from 'usage/101/\_architecture.mdx'
<Architecture101 />
@ -384,7 +384,7 @@ it.
## Serialization {#serialization}
import Serialization101 from 'usage/101/\_serialization.md'
import Serialization101 from 'usage/101/\_serialization.mdx'
<Serialization101 />
@ -397,7 +397,7 @@ guide on [saving and loading](/usage/saving-loading#models).
## Training {#training}
import Training101 from 'usage/101/\_training.md'
import Training101 from 'usage/101/\_training.mdx'
<Training101 />
@ -476,7 +476,7 @@ for trainable components.
## Language data {#language-data}
import LanguageData101 from 'usage/101/\_language-data.md'
import LanguageData101 from 'usage/101/\_language-data.mdx'
<LanguageData101 />

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@ -17,7 +17,7 @@ menu:
## Introduction to training {#basics hidden="true"}
import Training101 from 'usage/101/\_training.md'
import Training101 from 'usage/101/\_training.mdx'
<Training101 />

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@ -88,7 +88,7 @@ giving you access to thousands of pretrained models for your pipelines.
![Pipeline components listening to shared embedding component](../images/tok2vec-listener.svg)
import Benchmarks from 'usage/\_benchmarks-models.md'
import Benchmarks from 'usage/\_benchmarks-models.mdx'
<Benchmarks />

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@ -33,11 +33,11 @@ export function github(filepath, branch = DEFAULT_BRANCH) {
/**
* Get the source of a file in the documentation based on its slug
* @param {string} slug - The slug, e.g. /api/doc.
* @param {boolean} [isIndex] - Whether the page is an index, e.g. /api/index.md
* @param {boolean} [isIndex] - Whether the page is an index, e.g. /api/index.mdx
* @param {string} [branch] - Optional branch on GitHub. Defaults to master.
*/
export function getCurrentSource(slug, isIndex = false, branch = DEFAULT_BRANCH) {
const ext = isIndex ? '/index.md' : '.md'
const ext = isIndex ? '/index.mdx' : '.mdx'
return github(`website/docs${slug}${ext}`, branch)
}

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@ -27,7 +27,7 @@ import prodigyImage from '../../docs/images/prodigy_overview.jpg'
import projectsImage from '../../docs/images/projects.png'
import tailoredPipelinesImage from '../../docs/images/spacy-tailored-pipelines_wide.png'
import Benchmarks from 'usage/_benchmarks-models.md'
import Benchmarks from '../../docs/usage/_benchmarks-models.mdx'
function getCodeExample(nightly) {
return `# pip install -U ${nightly ? 'spacy-nightly --pre' : 'spacy'}