But
+ style="
+ line-height: 2.5;
+ font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Helvetica, Arial, sans-serif,
+ 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol';
+ font-size: 18px;
+ "
+>
+ But
Google
ORGis starting from behind. The company made a late push into hardware, and
Apple
ORG’s Siri, available on iPhones, and
Amazon
ORG’s Alexa software, which runs on its Echo and Dot devices, have clear leads in consumer
- adoption.
+ adoption.
+
diff --git a/website/docs/images/displacy-ent-snek.html b/website/docs/images/displacy-ent-snek.html
index c8b416d8d..6604d9b78 100644
--- a/website/docs/images/displacy-ent-snek.html
+++ b/website/docs/images/displacy-ent-snek.html
@@ -1,24 +1,57 @@
🌱🌿
🐍
SNEK
____ 🌳🌲 ____
👨🌾
HUMAN
diff --git a/website/docs/images/displacy-ent1.html b/website/docs/images/displacy-ent1.html
index 708df8093..9fde5cf88 100644
--- a/website/docs/images/displacy-ent1.html
+++ b/website/docs/images/displacy-ent1.html
@@ -1,36 +1,83 @@
Apple
ORG
is looking at buying
U.K.
GPE
startup for
$1 billion
MONEY
diff --git a/website/docs/images/displacy-ent2.html b/website/docs/images/displacy-ent2.html
index 5e1833ca0..01ab5c2bf 100644
--- a/website/docs/images/displacy-ent2.html
+++ b/website/docs/images/displacy-ent2.html
@@ -1,37 +1,84 @@
When
Sebastian Thrun
PERSON
started working on self-driving cars at
Google
ORG
in
2007
DATE
diff --git a/website/docs/images/displacy-long.html b/website/docs/images/displacy-long.html
index 8938f6a56..e298610aa 100644
--- a/website/docs/images/displacy-long.html
+++ b/website/docs/images/displacy-long.html
@@ -5,7 +5,13 @@
class="displacy"
width="1975"
height="399.5"
- style="max-width: none; height: 399.5px; color: #000000; background: #ffffff; font-family: Arial"
+ style="
+ max-width: none;
+ height: 399.5px;
+ color: #000000;
+ background: #ffffff;
+ font-family: Arial;
+ "
>
Apple
diff --git a/website/docs/images/displacy-long2.html b/website/docs/images/displacy-long2.html
index abe18c42a..c428bd2cb 100644
--- a/website/docs/images/displacy-long2.html
+++ b/website/docs/images/displacy-long2.html
@@ -1,84 +1,212 @@
-
diff --git a/website/docs/images/displacy-span-custom.html b/website/docs/images/displacy-span-custom.html
index 97dd3b140..10cb6dd2d 100644
--- a/website/docs/images/displacy-span-custom.html
+++ b/website/docs/images/displacy-span-custom.html
@@ -1,31 +1,84 @@
-
-method 2 tagger,
-parser
+method 2
+ tagger, parser
+
@@ -202,13 +202,25 @@ Link buttons come in two variants, `primary` and `secondary` and two sizes, with
an optional `large` size modifier. Since they're mostly used as enhanced links,
the buttons are implemented as styled links instead of native button elements.
-
-
+
+
+
+
-
-
+
+
+
+
## Components
diff --git a/website/docs/usage/101/_named-entities.mdx b/website/docs/usage/101/_named-entities.mdx
index 2abc45cbd..1778ab0a9 100644
--- a/website/docs/usage/101/_named-entities.mdx
+++ b/website/docs/usage/101/_named-entities.mdx
@@ -1,9 +1,9 @@
A named entity is a "real-world object" that's assigned a name – for example, a
person, a country, a product or a book title. spaCy can **recognize various
-types of named entities in a document, by asking the model for a
-prediction**. Because models are statistical and strongly depend on the
-examples they were trained on, this doesn't always work _perfectly_ and might
-need some tuning later, depending on your use case.
+types of named entities in a document, by asking the model for a prediction**.
+Because models are statistical and strongly depend on the examples they were
+trained on, this doesn't always work _perfectly_ and might need some tuning
+later, depending on your use case.
Named entities are available as the `ents` property of a `Doc`:
@@ -32,7 +32,11 @@ for ent in doc.ents:
Using spaCy's built-in [displaCy visualizer](/usage/visualizers), here's what
our example sentence and its named entities look like:
-import DisplaCyEntHtml from 'images/displacy-ent1.html'; import { Iframe } from
-'components/embed'
+import DisplaCyEntHtml from 'images/displacy-ent1.html'
+import { Iframe } from 'components/embed'
-
+
diff --git a/website/docs/usage/101/_pos-deps.mdx b/website/docs/usage/101/_pos-deps.mdx
index 93ad0961a..f3c11f81c 100644
--- a/website/docs/usage/101/_pos-deps.mdx
+++ b/website/docs/usage/101/_pos-deps.mdx
@@ -57,7 +57,11 @@ for token in doc:
Using spaCy's built-in [displaCy visualizer](/usage/visualizers), here's what
our example sentence and its dependencies look like:
-import DisplaCyLongHtml from 'images/displacy-long.html'; import { Iframe } from
-'components/embed'
+import DisplaCyLongHtml from 'images/displacy-long.html'
+import { Iframe } from 'components/embed'
-
+
diff --git a/website/docs/usage/101/_training.mdx b/website/docs/usage/101/_training.mdx
index 4218c1b5a..d904c3631 100644
--- a/website/docs/usage/101/_training.mdx
+++ b/website/docs/usage/101/_training.mdx
@@ -10,9 +10,9 @@ any other information.
Training is an iterative process in which the model's predictions are compared
against the reference annotations in order to estimate the **gradient of the
loss**. The gradient of the loss is then used to calculate the gradient of the
-weights through [backpropagation](https://thinc.ai/docs/backprop101). The gradients
-indicate how the weight values should be changed so that the model's predictions
-become more similar to the reference labels over time.
+weights through [backpropagation](https://thinc.ai/docs/backprop101). The
+gradients indicate how the weight values should be changed so that the model's
+predictions become more similar to the reference labels over time.
> - **Training data:** Examples and their annotations.
> - **Text:** The input text the model should predict a label for.
diff --git a/website/docs/usage/_benchmarks-models.mdx b/website/docs/usage/_benchmarks-models.mdx
index 5bf9e63ca..4893316b5 100644
--- a/website/docs/usage/_benchmarks-models.mdx
+++ b/website/docs/usage/_benchmarks-models.mdx
@@ -1,4 +1,5 @@
-import { Help } from 'components/typography'; import Link from 'components/link'
+import { Help } from 'components/typography'
+import Link from 'components/link'
+
diff --git a/website/docs/images/displacy-span.html b/website/docs/images/displacy-span.html
index 9bbc6403c..cfee1dc7e 100644
--- a/website/docs/images/displacy-span.html
+++ b/website/docs/images/displacy-span.html
@@ -1,41 +1,123 @@
-
Welcome to the
-
+
Bank
+ style="
+ background: #ddd;
+ top: 40px;
+ height: 4px;
+ left: -1px;
+ width: calc(100% + 2px);
+ position: absolute;
+ "
+ >
+ style="
+ background: #ddd;
+ top: 40px;
+ height: 4px;
+ border-top-left-radius: 3px;
+ border-bottom-left-radius: 3px;
+ left: -1px;
+ width: calc(100% + 2px);
+ position: absolute;
+ "
+ >
+ style="
+ background: #ddd;
+ color: #000;
+ top: -0.5em;
+ padding: 2px 3px;
+ position: absolute;
+ font-size: 0.6em;
+ font-weight: bold;
+ line-height: 1;
+ border-radius: 3px;
+ "
+ >
BANK
-
+
of
+ style="
+ background: #ddd;
+ top: 40px;
+ height: 4px;
+ left: -1px;
+ width: calc(100% + 2px);
+ position: absolute;
+ "
+ >
-
+
China
+ style="
+ background: #ddd;
+ top: 40px;
+ height: 4px;
+ left: -1px;
+ width: calc(100% + 2px);
+ position: absolute;
+ "
+ >
.
-
\ No newline at end of file
+
+
diff --git a/website/docs/models/index.mdx b/website/docs/models/index.mdx
index 203555651..560c04675 100644
--- a/website/docs/models/index.mdx
+++ b/website/docs/models/index.mdx
@@ -189,8 +189,8 @@ than the rule-based `sentencizer`.
#### Switch from trainable lemmatizer to default lemmatizer
-Since v3.3, a number of pipelines use a trainable lemmatizer. You can check whether
-the lemmatizer is trainable:
+Since v3.3, a number of pipelines use a trainable lemmatizer. You can check
+whether the lemmatizer is trainable:
```python
nlp = spacy.load("de_core_web_sm")
diff --git a/website/docs/styleguide.mdx b/website/docs/styleguide.mdx
index 673ced892..7dd8997fb 100644
--- a/website/docs/styleguide.mdx
+++ b/website/docs/styleguide.mdx
@@ -67,8 +67,7 @@ import { Colors, Patterns } from 'widgets/styleguide'
## Typography {#typography}
-import { H1, H2, H3, H4, H5, Label, InlineList } from
-'components/typography'
+import { H1, H2, H3, H4, H5, Label, InlineList } from 'components/typography'
> #### Markdown
>
@@ -103,12 +102,12 @@ in the sidebar menu.
Welcome to the
-
+
Bank
+ style="
+ background: #7aecec;
+ top: 40px;
+ height: 4px;
+ left: -1px;
+ width: calc(100% + 2px);
+ position: absolute;
+ "
+ >
+ style="
+ background: #7aecec;
+ top: 40px;
+ height: 4px;
+ border-top-left-radius: 3px;
+ border-bottom-left-radius: 3px;
+ left: -1px;
+ width: calc(100% + 2px);
+ position: absolute;
+ "
+ >
+ style="
+ background: #7aecec;
+ color: #000;
+ top: -0.5em;
+ padding: 2px 3px;
+ position: absolute;
+ font-size: 0.6em;
+ font-weight: bold;
+ line-height: 1;
+ border-radius: 3px;
+ "
+ >
ORG
-
+
of
+ style="
+ background: #7aecec;
+ top: 40px;
+ height: 4px;
+ left: -1px;
+ width: calc(100% + 2px);
+ position: absolute;
+ "
+ >
-
+
China
+ style="
+ background: #7aecec;
+ top: 40px;
+ height: 4px;
+ left: -1px;
+ width: calc(100% + 2px);
+ position: absolute;
+ "
+ >
+ style="
+ background: #feca74;
+ top: 57px;
+ height: 4px;
+ left: -1px;
+ width: calc(100% + 2px);
+ position: absolute;
+ "
+ >
+ style="
+ background: #feca74;
+ top: 57px;
+ height: 4px;
+ border-top-left-radius: 3px;
+ border-bottom-left-radius: 3px;
+ left: -1px;
+ width: calc(100% + 2px);
+ position: absolute;
+ "
+ >
+ style="
+ background: #feca74;
+ color: #000;
+ top: -0.5em;
+ padding: 2px 3px;
+ position: absolute;
+ font-size: 0.6em;
+ font-weight: bold;
+ line-height: 1;
+ border-radius: 3px;
+ "
+ >
GPE
.
-
\ No newline at end of file
+
-
---
@@ -184,8 +183,9 @@ installed.
Headline 1
-Headline 2
-Headline 3
-Headline 4
-Headline 5
- +Headline 1
+Headline 2
+Headline 3
+Headline 4
+Headline 5
+-
diff --git a/website/docs/usage/embeddings-transformers.mdx b/website/docs/usage/embeddings-transformers.mdx
index a487371de..4173a6c37 100644
--- a/website/docs/usage/embeddings-transformers.mdx
+++ b/website/docs/usage/embeddings-transformers.mdx
@@ -218,8 +218,8 @@ $ pip install torch==1.11.0+cu113 torchvision==0.12.0+cu113 torchaudio==0.11.0+c
Next, install spaCy with the extras for your CUDA version and transformers. The
CUDA extra (e.g., `cuda102`, `cuda113`) installs the correct version of
-[`cupy`](https://docs.cupy.dev/en/stable/install.html#installing-cupy), which
-is just like `numpy`, but for GPU. You may also need to set the `CUDA_PATH`
+[`cupy`](https://docs.cupy.dev/en/stable/install.html#installing-cupy), which is
+just like `numpy`, but for GPU. You may also need to set the `CUDA_PATH`
environment variable if your CUDA runtime is installed in a non-standard
location. Putting it all together, if you had installed CUDA 11.3 in
`/opt/nvidia/cuda`, you would run:
@@ -531,8 +531,7 @@ Word vectors in spaCy are "static" in the sense that they are not learned
parameters of the statistical models, and spaCy itself does not feature any
algorithms for learning word vector tables. You can train a word vectors table
using tools such as [floret](https://github.com/explosion/floret),
-[Gensim](https://radimrehurek.com/gensim/),
-[FastText](https://fasttext.cc/) or
+[Gensim](https://radimrehurek.com/gensim/), [FastText](https://fasttext.cc/) or
[GloVe](https://nlp.stanford.edu/projects/glove/), or download existing
pretrained vectors. The [`init vectors`](/api/cli#init-vectors) command lets you
convert vectors for use with spaCy and will give you a directory you can load or
diff --git a/website/docs/usage/facts-figures.mdx b/website/docs/usage/facts-figures.mdx
index 4bee31ed0..ff07d0f8b 100644
--- a/website/docs/usage/facts-figures.mdx
+++ b/website/docs/usage/facts-figures.mdx
@@ -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.md'
-Run this example use-case by using our project template. It includes all the
-code to create the ML model and the pipeline component from scratch.
-It also contains two config files to train the model:
-one to run on CPU with a Tok2Vec layer, and one for the GPU using a transformer.
-The project applies the relation extraction component to identify biomolecular
-interactions in a sample dataset, but you can easily swap in your own dataset
-for your experiments in any other domain.
+ Run this example use-case by using our project template. It includes all the
+ code to create the ML model and the pipeline component from scratch. It also
+ contains two config files to train the model: one to run on CPU with a Tok2Vec
+ layer, and one for the GPU using a transformer. The project applies the
+ relation extraction component to identify biomolecular interactions in a
+ sample dataset, but you can easily swap in your own dataset for your
+ experiments in any other domain.
-Run this example use-case by using our project template. It includes all the
-code to create the ML model and the pipeline component from scratch.
-It contains two config files to train the model:
-one to run on CPU with a Tok2Vec layer, and one for the GPU using a transformer.
-The project applies the relation extraction component to identify biomolecular
-interactions, but you can easily swap in your own dataset for your experiments
-in any other domain.
+ Run this example use-case by using our project template. It includes all the
+ code to create the ML model and the pipeline component from scratch. It
+ contains two config files to train the model: one to run on CPU with a Tok2Vec
+ layer, and one for the GPU using a transformer. The project applies the
+ relation extraction component to identify biomolecular interactions, but you
+ can easily swap in your own dataset for your experiments in any other domain.
diff --git a/website/docs/usage/linguistic-features.mdx b/website/docs/usage/linguistic-features.mdx
index 099678c40..c4b6dd27b 100644
--- a/website/docs/usage/linguistic-features.mdx
+++ b/website/docs/usage/linguistic-features.mdx
@@ -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.md'
-Manage and version your data
-Create labelled training data
-Visualize and demo your pipelines
-Serve your models and host APIs
-Distributed and parallel training
-Track your experiments and results
-Upload your pipelines to the Hugging Face Hub
+
+ Manage and version your data
+
+
+ Create labelled training data
+
+
+ Visualize and demo your pipelines
+
+
+ Serve your models and host APIs
+
+
+ Distributed and parallel training
+
+
+ Track your experiments and results
+
+
+ Upload your pipelines to the Hugging Face Hub
+
### 1. Clone a project template {#clone}
@@ -259,9 +277,9 @@ pipelines.
> This can be used in a project command like so:
>
> ```yaml
-> - name: "echo-path"
-> script:
-> - "echo ${env.ENV_PATH}"
+> - name: 'echo-path'
+> script:
+> - 'echo ${env.ENV_PATH}'
> ```
| Section | Description |
diff --git a/website/docs/usage/rule-based-matching.mdx b/website/docs/usage/rule-based-matching.mdx
index 64bbf8e7b..73cd0c0c5 100644
--- a/website/docs/usage/rule-based-matching.mdx
+++ b/website/docs/usage/rule-based-matching.mdx
@@ -375,7 +375,7 @@ scoped quantifiers – instead, you can build those behaviors with `on_match`
callbacks.
| OP | Description |
-|---------|------------------------------------------------------------------------|
+| ------- | ---------------------------------------------------------------------- |
| `!` | Negate the pattern, by requiring it to match exactly 0 times. |
| `?` | Make the pattern optional, by allowing it to match 0 or 1 times. |
| `+` | Require the pattern to match 1 or more times. |
@@ -1107,7 +1107,11 @@ relations and tokens we want to match:
import DisplaCyDepFoundedHtml from 'images/displacy-dep-founded.html'
-
+
The relations we're interested in are:
diff --git a/website/docs/usage/saving-loading.mdx b/website/docs/usage/saving-loading.mdx
index 0fd713a49..f833089a1 100644
--- a/website/docs/usage/saving-loading.mdx
+++ b/website/docs/usage/saving-loading.mdx
@@ -10,7 +10,7 @@ menu:
## Basics {#basics hidden="true"}
-import Serialization101 from 'usage/101/\_serialization.md'
+import Serialization101 from 'usage/101/_serialization.md'
```markdown
diff --git a/website/docs/usage/training.mdx b/website/docs/usage/training.mdx
index 27a8bbca7..b0c1c9896 100644
--- a/website/docs/usage/training.mdx
+++ b/website/docs/usage/training.mdx
@@ -17,7 +17,7 @@ menu:
## Introduction to training {#basics hidden="true"}
-import Training101 from 'usage/101/\_training.md'
+import Training101 from 'usage/101/_training.md'
How to use the `Matcher`, `PhraseMatcher` and the new `EntityRuler`, and write diff --git a/website/docs/usage/v3-3.mdx b/website/docs/usage/v3-3.mdx index 739e2a2f9..f6e8c03ad 100644 --- a/website/docs/usage/v3-3.mdx +++ b/website/docs/usage/v3-3.mdx @@ -79,7 +79,11 @@ displacy.serve(doc, style="span", options={"spans_key": "custom"}) import DisplacySpanHtml from 'images/displacy-span.html' - + ## Additional features and improvements diff --git a/website/docs/usage/v3-4.mdx b/website/docs/usage/v3-4.mdx index 597fc3cc8..4625b50e0 100644 --- a/website/docs/usage/v3-4.mdx +++ b/website/docs/usage/v3-4.mdx @@ -63,8 +63,8 @@ All CNN pipelines have been extended with whitespace augmentation. The English CNN pipelines have new word vectors: -| Package | Model Version | TAG | Parser LAS | NER F | -| ----------------------------------------------- | ------------- | ---: | ---------: | ----: | +| Package | Model Version | TAG | Parser LAS | NER F | +| --------------------------------------------- | ------------- | ---: | ---------: | ----: | | [`en_core_web_md`](/models/en#en_core_web_md) | v3.3.0 | 97.3 | 90.1 | 84.6 | | [`en_core_web_md`](/models/en#en_core_web_lg) | v3.4.0 | 97.2 | 90.3 | 85.5 | | [`en_core_web_lg`](/models/en#en_core_web_md) | v3.3.0 | 97.4 | 90.1 | 85.3 | diff --git a/website/docs/usage/v3.mdx b/website/docs/usage/v3.mdx index 971779ed3..5db2fe740 100644 --- a/website/docs/usage/v3.mdx +++ b/website/docs/usage/v3.mdx @@ -100,7 +100,7 @@ giving you access to thousands of pretrained models for your pipelines.  -import Benchmarks from 'usage/\_benchmarks-models.md' +import Benchmarks from 'usage/_benchmarks-models.md'
+ +
@@ -191,7 +195,7 @@ text with spaCy. ### Tokenization {#annotations-token} -import Tokenization101 from 'usage/101/\_tokenization.md' +import Tokenization101 from 'usage/101/_tokenization.md'
```markdown
diff --git a/website/docs/usage/training.mdx b/website/docs/usage/training.mdx
index 27a8bbca7..b0c1c9896 100644
--- a/website/docs/usage/training.mdx
+++ b/website/docs/usage/training.mdx
@@ -17,7 +17,7 @@ menu:
## Introduction to training {#basics hidden="true"}
-import Training101 from 'usage/101/\_training.md'
+import Training101 from 'usage/101/_training.md'
How to use the `Matcher`, `PhraseMatcher` and the new `EntityRuler`, and write diff --git a/website/docs/usage/v3-3.mdx b/website/docs/usage/v3-3.mdx index 739e2a2f9..f6e8c03ad 100644 --- a/website/docs/usage/v3-3.mdx +++ b/website/docs/usage/v3-3.mdx @@ -79,7 +79,11 @@ displacy.serve(doc, style="span", options={"spans_key": "custom"}) import DisplacySpanHtml from 'images/displacy-span.html' - + ## Additional features and improvements diff --git a/website/docs/usage/v3-4.mdx b/website/docs/usage/v3-4.mdx index 597fc3cc8..4625b50e0 100644 --- a/website/docs/usage/v3-4.mdx +++ b/website/docs/usage/v3-4.mdx @@ -63,8 +63,8 @@ All CNN pipelines have been extended with whitespace augmentation. The English CNN pipelines have new word vectors: -| Package | Model Version | TAG | Parser LAS | NER F | -| ----------------------------------------------- | ------------- | ---: | ---------: | ----: | +| Package | Model Version | TAG | Parser LAS | NER F | +| --------------------------------------------- | ------------- | ---: | ---------: | ----: | | [`en_core_web_md`](/models/en#en_core_web_md) | v3.3.0 | 97.3 | 90.1 | 84.6 | | [`en_core_web_md`](/models/en#en_core_web_lg) | v3.4.0 | 97.2 | 90.3 | 85.5 | | [`en_core_web_lg`](/models/en#en_core_web_md) | v3.3.0 | 97.4 | 90.1 | 85.3 | diff --git a/website/docs/usage/v3.mdx b/website/docs/usage/v3.mdx index 971779ed3..5db2fe740 100644 --- a/website/docs/usage/v3.mdx +++ b/website/docs/usage/v3.mdx @@ -100,7 +100,7 @@ giving you access to thousands of pretrained models for your pipelines.  -import Benchmarks from 'usage/\_benchmarks-models.md' +import Benchmarks from 'usage/_benchmarks-models.md'
)
-export const Pre = props => {
+export const Pre = (props) => {
return {props.children}
}
@@ -101,7 +101,7 @@ function replacePrompt(line, prompt, isFirst = false) {
}
function parseArgs(raw) {
- let args = raw.split(' ').filter(arg => arg)
+ let args = raw.split(' ').filter((arg) => arg)
const result = {}
while (args.length) {
let opt = args.shift()
@@ -168,7 +168,7 @@ function formatCode(html, lang, prompt) {
const lines = html
.trim()
.split('\n')
- .map(line =>
+ .map((line) =>
line
.split(' | ')
.map((l, i) => convertLine(l, i))
@@ -234,17 +234,8 @@ export class Code extends React.Component {
}
render() {
- const {
- lang,
- title,
- executable,
- github,
- prompt,
- wrap,
- highlight,
- className,
- children,
- } = this.props
+ const { lang, title, executable, github, prompt, wrap, highlight, className, children } =
+ this.props
const codeClassNames = classNames(classes.code, className, `language-${lang}`, {
[classes.wrap]: !!highlight || !!wrap || lang === 'cli',
[classes.cli]: lang === 'cli',
@@ -264,7 +255,7 @@ export class Code extends React.Component {
}
const codeText = Array.isArray(children) ? children.join('') : children || ''
- const highlightRange = highlight ? rangeParser.parse(highlight).filter(n => n > 0) : []
+ const highlightRange = highlight ? rangeParser.parse(highlight).filter((n) => n > 0) : []
const rawHtml = ['none', 'cli'].includes(lang)
? codeText
: highlightCode(lang, codeText, highlightRange)
diff --git a/website/src/components/github.js b/website/src/components/github.js
index 1653ca459..4d1f7b1e6 100644
--- a/website/src/components/github.js
+++ b/website/src/components/github.js
@@ -27,11 +27,11 @@ const GitHubCode = ({ url, lang, errorMsg = defaultErrorMsg, className }) => {
if (!initialized) {
setCode(null)
fetch(rawUrl)
- .then(res => res.text().then(text => ({ text, ok: res.ok })))
+ .then((res) => res.text().then((text) => ({ text, ok: res.ok })))
.then(({ text, ok }) => {
setCode(ok ? text : errorMsg)
})
- .catch(err => {
+ .catch((err) => {
setCode(errorMsg)
console.error(err)
})
diff --git a/website/src/components/juniper.js b/website/src/components/juniper.js
index 09ab0cba6..1d0bf165c 100644
--- a/website/src/components/juniper.js
+++ b/website/src/components/juniper.js
@@ -14,7 +14,7 @@ export default class Juniper extends React.Component {
state = { kernel: null, renderers: null, fromStorage: null }
componentDidMount() {
- const renderers = standardRendererFactories.filter(factory =>
+ const renderers = standardRendererFactories.filter((factory) =>
factory.mimeTypes.includes('text/latex') ? window.MathJax : true
)
@@ -52,7 +52,7 @@ export default class Juniper extends React.Component {
this.log(() => console.info('building', { binderUrl }))
return new Promise((resolve, reject) => {
const es = new EventSource(binderUrl)
- es.onerror = err => {
+ es.onerror = (err) => {
es.close()
this.log(() => console.error('failed'))
reject(new Error(err))
@@ -92,7 +92,7 @@ export default class Juniper extends React.Component {
window.localStorage.setItem(this.props.storageKey, json)
}
const serverSettings = ServerConnection.makeSettings(settings)
- return Kernel.startNew({ type: this.props.kernelType, serverSettings }).then(kernel => {
+ return Kernel.startNew({ type: this.props.kernelType, serverSettings }).then((kernel) => {
this.log(() => console.info('ready'))
return kernel
})
@@ -116,7 +116,7 @@ export default class Juniper extends React.Component {
}
if (this.props.useBinder) {
return this.requestBinder(this.props.repo, this.props.branch, this.props.url).then(
- settings => this.requestKernel(settings)
+ (settings) => this.requestKernel(settings)
)
}
return this.requestKernel(this.props.serverSettings)
@@ -173,12 +173,8 @@ export default class Juniper extends React.Component {
name: 'stdout',
text: `${action} Docker container on ${url}...`,
})
- new Promise((resolve, reject) =>
- this.getKernel()
- .then(resolve)
- .catch(reject)
- )
- .then(kernel => {
+ new Promise((resolve, reject) => this.getKernel().then(resolve).catch(reject))
+ .then((kernel) => {
this.setState({ kernel })
this.renderResponse(outputArea, code)
})
@@ -203,7 +199,7 @@ export default class Juniper extends React.Component {
{
+ ref={(x) => {
this.inputRef = x
}}
/>
@@ -211,7 +207,7 @@ export default class Juniper extends React.Component {
{this.props.msgButton}
{
+ ref={(x) => {
this.outputRef = x
}}
className={this.props.classNames.output}
diff --git a/website/src/components/layout/docs.js b/website/src/components/layout/docs.js
index 8bcad43e4..204ba709e 100644
--- a/website/src/components/layout/docs.js
+++ b/website/src/components/layout/docs.js
@@ -38,18 +38,18 @@ const Docs = ({ pageContext, children }) => {
const isModels = section === 'models'
const sidebar = pageContext.sidebar
? { items: pageContext.sidebar }
- : sidebars.find(bar => bar.section === section)
+ : sidebars.find((bar) => bar.section === section)
let pageMenu = menu ? menu.map(([text, id]) => ({ text, id })) : []
if (isModels) {
sidebar.items[1].items = languages
.filter(({ models }) => models && models.length)
.sort((a, b) => a.name.localeCompare(b.name))
- .map(lang => ({
+ .map((lang) => ({
text: lang.name,
url: `/models/${lang.code}`,
isActive: id === lang.code,
- menu: lang.models.map(model => ({
+ menu: lang.models.map((model) => ({
text: model,
id: model,
})),
diff --git a/website/src/components/layout/models.js b/website/src/components/layout/models.js
index 010730949..beb5cfdab 100644
--- a/website/src/components/layout/models.js
+++ b/website/src/components/layout/models.js
@@ -72,8 +72,7 @@ const MODEL_META = {
pipeline: 'Active processing pipeline components in order',
components: 'All processing pipeline components (including disabled components)',
sources: 'Sources of training data',
- vecs:
- 'Word vectors included in the package. Packages that only support context vectors compute similarity via the tensors shared with the pipeline.',
+ vecs: 'Word vectors included in the package. Packages that only support context vectors compute similarity via the tensors shared with the pipeline.',
benchmark_parser: 'Syntax accuracy',
benchmark_ner: 'NER accuracy',
benchmark_speed: 'Speed',
@@ -115,7 +114,7 @@ function getLatestVersion(modelId, compatibility, prereleases) {
function formatVectors(data) {
if (!data) return 'n/a'
- if (Object.values(data).every(n => n === 0)) return 'context vectors only'
+ if (Object.values(data).every((n) => n === 0)) return 'context vectors only'
const { keys, vectors, width } = data
if (keys >= 0) {
return `${abbrNum(keys)} keys, ${abbrNum(vectors)} unique vectors (${width} dimensions)`
@@ -128,7 +127,7 @@ function formatAccuracy(data, lang) {
const exclude = lang !== 'ja' ? ['speed'] : ['speed', 'morph_acc']
if (!data) return []
return Object.keys(data)
- .map(label => {
+ .map((label) => {
const value = data[label]
return isNaN(value) || exclude.includes(label)
? null
@@ -138,7 +137,7 @@ function formatAccuracy(data, lang) {
help: MODEL_META[label],
}
})
- .filter(item => item)
+ .filter((item) => item)
}
function formatDownloadLink(lang, name, version) {
@@ -173,7 +172,7 @@ function formatModelMeta(data) {
}
function formatSources(data = []) {
- const sources = data.map(s => (isString(s) ? { name: s } : s))
+ const sources = data.map((s) => (isString(s) ? { name: s } : s))
return sources.map(({ name, url, author }, i) => (
{i > 0 &&
} @@ -185,7 +184,7 @@ function formatSources(data = []) { function linkComponents(components = []) { return join( - components.map(c => ( + components.map((c) => (
{c}
@@ -218,22 +217,21 @@ const Model = ({
const { type, genre, size } = getModelComponents(name)
const display_type =
type === 'core' && (size === 'sm' || size === 'trf') ? 'core_no_vectors' : type
- const version = useMemo(() => getLatestVersion(name, compatibility, prereleases), [
- name,
- compatibility,
- prereleases,
- ])
+ const version = useMemo(
+ () => getLatestVersion(name, compatibility, prereleases),
+ [name, compatibility, prereleases]
+ )
useEffect(() => {
window.dispatchEvent(new Event('resize')) // scroll position for progress
if (!initialized && version) {
setIsError(false)
fetch(`${baseUrl}/meta/${name}-${version}.json`)
- .then(res => res.json())
- .then(json => {
+ .then((res) => res.json())
+ .then((json) => {
setMeta(formatModelMeta(json))
})
- .catch(err => {
+ .catch((err) => {
setIsError(true)
console.error(err)
})
@@ -367,7 +365,7 @@ const Model = ({
- {Object.keys(labels).map(pipe => {
+ {Object.keys(labels).map((pipe) => {
const labelNames = labels[pipe] || []
const help = LABEL_SCHEME_META[pipe]
return (
@@ -409,9 +407,9 @@ const Models = ({ pageContext, repo, children }) => {
window.dispatchEvent(new Event('resize')) // scroll position for progress
if (!initialized) {
fetch(`${baseUrl}/compatibility.json`)
- .then(res => res.json())
+ .then((res) => res.json())
.then(({ spacy }) => setCompatibility(spacy))
- .catch(err => console.error(err))
+ .catch((err) => console.error(err))
setInitialized(true)
}
}, [initialized, baseUrl])
@@ -419,7 +417,7 @@ const Models = ({ pageContext, repo, children }) => {
return (
<>
} @@ -185,7 +184,7 @@ function formatSources(data = []) { function linkComponents(components = []) { return join( - components.map(c => ( + components.map((c) => (