forked from D-Net/openaire-graph-docs
Add impact metrics and data model outline
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sidebar_position: 5
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---
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# Public API
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# Public API
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<span className="todo">TODO</span>
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@ -1,5 +0,0 @@
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---
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sidebar_position: 3
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---
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# Data model
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{
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"label": "Data model",
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"position": 3,
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"link": {
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"type": "doc",
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"id": "data-model"
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}
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}
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# Data model
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The OpenAIRE Research Graph comprises several types of entities and relationships among them.
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The latest version of the JSON schema can be found on [Bulk downloads](../download).
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![Data mode](./assets/data-model.png)
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The figure above, presents the graph's data model.
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Its main entities are described in brief below:
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* Research Products represent the outcomes of research activities.
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* Organizations correspond to companies or research institutions involved in projects,
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responsible for operating data sources or consisting the affiliations of Product creators.
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* Funders (e.g. EC, Wellcome Trust) are agencies responsible for a list of Funding Streams.
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* Funding Streams represent investments (funding actions) from Funders (e.g. FP7 or H2020).
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* Projects are research projects funded by a Funding Stream of a Funder.
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* Data Sources are the resources used to collect metadata for the graph objects
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---
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sidebar_position: 1
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---
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# Entities
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@ -2,4 +2,4 @@
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sidebar_position: 2
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---
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# Data sources
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# Relationships
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@ -1,5 +1,5 @@
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{
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"label": "Graph provision",
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"label": "Data provision",
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"position": 6,
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"link": {
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"type": "generated-index",
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---
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sidebar_position: 1
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---
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# Data sources
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<span className="todo">TODO</span>
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@ -1,6 +1,6 @@
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{
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"label": "Deduplication",
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"position": 1,
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"position": 2,
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"link": {
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"type": "generated-index",
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"description": "5 minutes to learn the most important Docusaurus concepts."
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@ -1,6 +1,6 @@
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{
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"label": "Inference and annotations",
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"position": 2,
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"position": 3,
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"link": {
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"type": "generated-index",
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"description": "5 minutes to learn the most important Docusaurus concepts."
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@ -0,0 +1,73 @@
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---
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sidebar_position: 2
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---
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# Impact scores
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<span className="todo">TODO - add intro</span>
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## Citation Count (CC)
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This is the most widely used scientific impact indicator, which sums all citations received by each article. The citation count of a
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publication $i$ corresponds to the in-degree of the corresponding node in the underlying citation network: $s_i = \sum_{j} A_{i,j}$,
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where $A$ is the adjacency matrix of the network (i.e., $A_{i,j}=1$ when paper $j$ cites paper $i$, while $A_{i,j}=0$ otherwise).
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Citation count can be viewed as a measure of a publication's overall impact, since it conveys the number of other works that directly
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drew on it.
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## "Incubation" Citation Count (iCC)
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This measure is essentially a time-restricted version of the citation count, where the time window is distinct for each paper, i.e.,
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only citations $y$ years after its publication are counted (usually, $y=3$). The "incubation" citation count of a paper $i$ is
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calculated as: $s_i = \sum_{j,t_j \leq t_i+3} A_{i,j}$, where $A$ is the adjacency matrix and $t_j, t_i$ are the citing and cited paper's
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publication years, respectively. $t_i$ is cited paper $i$'s publication year. iCC can be seen as an indicator of a paper's initial momentum
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(impulse) directly after its publication.
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## PageRank (PR)
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Originally developed to rank Web pages, PageRank has been also widely used to rank publications in citation
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networks. In this latter context, a publication's PageRank
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score also serves as a measure of its influence. In particular, the PageRank score of a publication is calculated
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as its probability of being read by a researcher that either randomly selects publications to read or selects
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publications based on the references of her latest read. Formally, the score of a publication $i$ is given by:
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$$
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s_i = \alpha \cdot \sum_{j} P_{i,j} \cdot s_j + (1-\alpha) \cdot \frac{1}{N}
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$$
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where $P$ is the stochastic transition matrix, which corresponds to the column normalised version of adjacency
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matrix $A$, $\alpha \in [0,1]$, and $N$ is the number of publications in the citation network. The first addend
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of the equation corresponds to the selection (with probability $\alpha$) of following a reference, while the
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second one to the selection of randomly choosing any publication in the network. It should be noted that the
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score of each publication relies of the score of publications citing it (the algorithm is executed iteratively
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until all scores converge). As a result, PageRank differentiates citations based on the importance of citing
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articles, thus alleviating the corresponding issue of the Citation Count.
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## RAM
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RAM is essentially a modified Citation Count, where recent citations are considered of higher importance compared
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to older ones. Hence, it better captures the popularity of publications. This "time-awareness" of citations
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alleviates the bias of methods like Citation Count and PageRank against recently published articles, which have
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not had "enough" time to gather as many citations. The RAM score of each paper $i$ is calculated as follows:
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$$
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s_i = \sum_j{R_{i,j}}
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$$
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where $R$ is the so-called Retained Adjacency Matrix (RAM) and $R_{i,j}=\gamma^{t_c-t_j}$ when publication $j$ cites publication
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$i$, and $R_{i,j}=0$ otherwise. Parameter $\gamma \in (0,1)$, $t_c$ corresponds to the current year and $t_j$ corresponds to the
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publication year of citing article $j$.
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## AttRank
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AttRank is a PageRank variant that alleviates its bias against recent publications (i.e., it is tailored to capture popularity).
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AttRank achieves this by modifying PageRank's probability of randomly selecting a publication. Instead of using a uniform probability,
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AttRank defines it based on a combination of the publication's age and the citations it received in recent years. The AttRank score
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of each publication $i$ is calculated based on:
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$$
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s_i = \alpha \cdot \sum_{j} P_{i,j} \cdot s_j
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+ \beta \cdot Att(i)+ \gamma \cdot c \cdot e^{-\rho \cdot (t_c-t_i)}
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$$
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where $\alpha + \beta + \gamma =1$ and $\alpha,\beta,\gamma \in [0,1]$. $Att(i)$ denotes a recent attention-based score for publication $i$,
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which reflects its share of citations in the $y$ most recent years, $t_i$ is the publication year of article $i$, $t_c$ denotes the current
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year, and $c$ is a normalisation constant. Finally, $P$ is the stochastic transition matrix.
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---
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sidebar_position: 8
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sidebar_position: 9
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---
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# FAQ
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---
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sidebar_position: 2
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---
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# Impact scores
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---
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sidebar_position: 9
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sidebar_position: 10
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---
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# License
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# License
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<span className="todo">TODO</span>
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---
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sidebar_position: 7
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---
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# Related publications
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<span className="todo">TODO</span>
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---
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sidebar_position: 7
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sidebar_position: 8
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---
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# Graph-based services
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## Explore
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<span className="todo">TODO</span>
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## Provide
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<span className="todo">TODO</span>
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## Connect
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<span className="todo">TODO</span>
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## Monitor
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<span className="todo">TODO</span>
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## Develop
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<span className="todo">TODO</span>
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const lightCodeTheme = require('prism-react-renderer/themes/github');
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const darkCodeTheme = require('prism-react-renderer/themes/dracula');
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const math = require('remark-math');
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const katex = require('rehype-katex');
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/** @type {import('@docusaurus/types').Config} */
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const config = {
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// Remove this to remove the "edit this page" links.
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// editUrl:
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// 'https://github.com/facebook/docusaurus/tree/main/packages/create-docusaurus/templates/shared/',
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remarkPlugins: [math],
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rehypePlugins: [katex],
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},
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blog: {
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showReadingTime: true,
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}),
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],
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],
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// required for katex styling of equations
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stylesheets: [
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{
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href: 'https://cdn.jsdelivr.net/npm/katex@0.13.24/dist/katex.min.css',
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type: 'text/css',
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integrity:
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'sha384-odtC+0UGzzFL/6PNoE8rX/SPcQDXBJ+uRepguP4QkPCm2LBxH3FA3y+fKSiJ+AmM',
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crossorigin: 'anonymous',
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},
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],
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themeConfig:
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/** @type {import('@docusaurus/preset-classic').ThemeConfig} */
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({
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|
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"@docusaurus/preset-classic": "2.0.1",
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"@mdx-js/react": "^1.6.22",
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"clsx": "^1.2.1",
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"hast-util-is-element": "^1.1.0",
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"prism-react-renderer": "^1.3.5",
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"react": "^17.0.2",
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"react-dom": "^17.0.2"
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"react-dom": "^17.0.2",
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"rehype-katex": "^5.0.0",
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"remark-math": "^3.0.1"
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},
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"devDependencies": {
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"@docusaurus/module-type-aliases": "2.0.1"
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|
@ -3203,6 +3206,11 @@
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"resolved": "https://registry.npmjs.org/@types/json-schema/-/json-schema-7.0.11.tgz",
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},
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"node_modules/@types/katex": {
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"version": "0.11.1",
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"resolved": "https://registry.npmjs.org/@types/katex/-/katex-0.11.1.tgz",
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},
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"node_modules/@types/mdast": {
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"version": "3.0.10",
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"resolved": "https://registry.npmjs.org/@types/mdast/-/mdast-3.0.10.tgz",
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@ -6518,6 +6526,15 @@
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"url": "https://opencollective.com/unified"
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}
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},
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"node_modules/hast-util-is-element": {
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"version": "1.1.0",
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"resolved": "https://registry.npmjs.org/hast-util-is-element/-/hast-util-is-element-1.1.0.tgz",
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"funding": {
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"type": "opencollective",
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"url": "https://opencollective.com/unified"
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"node_modules/hast-util-parse-selector": {
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"resolved": "https://registry.npmjs.org/hast-util-parse-selector/-/hast-util-parse-selector-2.2.5.tgz",
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@ -6569,6 +6586,20 @@
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"url": "https://opencollective.com/unified"
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"node_modules/hast-util-to-text": {
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"dependencies": {
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"hast-util-is-element": "^1.0.0",
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"repeat-string": "^1.0.0",
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"unist-util-find-after": "^3.0.0"
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},
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"funding": {
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"type": "opencollective",
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"url": "https://opencollective.com/unified"
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}
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"node_modules/hastscript": {
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"version": "6.0.0",
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"resolved": "https://registry.npmjs.org/hastscript/-/hastscript-6.0.0.tgz",
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|
@ -7391,6 +7422,29 @@
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"graceful-fs": "^4.1.6"
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}
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},
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"node_modules/katex": {
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"version": "0.13.24",
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"resolved": "https://registry.npmjs.org/katex/-/katex-0.13.24.tgz",
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"funding": [
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"https://github.com/sponsors/katex"
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],
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"dependencies": {
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"commander": "^8.0.0"
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},
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"bin": {
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"katex": "cli.js"
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}
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},
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"node_modules/katex/node_modules/commander": {
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"resolved": "https://registry.npmjs.org/commander/-/commander-8.3.0.tgz",
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"engines": {
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"node": ">= 12"
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}
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"node_modules/keyv": {
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"version": "3.1.0",
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"resolved": "https://registry.npmjs.org/keyv/-/keyv-3.1.0.tgz",
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@ -9666,6 +9720,41 @@
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|||
"jsesc": "bin/jsesc"
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}
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},
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"node_modules/rehype-katex": {
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"version": "5.0.0",
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"resolved": "https://registry.npmjs.org/rehype-katex/-/rehype-katex-5.0.0.tgz",
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"dependencies": {
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"@types/katex": "^0.11.0",
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"hast-util-to-text": "^2.0.0",
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"katex": "^0.13.0",
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"rehype-parse": "^7.0.0",
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"unified": "^9.0.0",
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"unist-util-visit": "^2.0.0"
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},
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"funding": {
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"type": "opencollective",
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"url": "https://opencollective.com/unified"
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"dependencies": {
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"funding": {
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"type": "opencollective",
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"url": "https://opencollective.com/unified"
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"node_modules/rehype-parse/node_modules/parse5": {
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"version": "0.2.7",
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|
@ -9693,6 +9782,15 @@
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"url": "https://opencollective.com/unified"
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}
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},
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"node_modules/remark-math": {
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"funding": {
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"type": "opencollective",
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"url": "https://opencollective.com/unified"
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}
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},
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"node_modules/remark-mdx": {
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"version": "1.6.22",
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"resolved": "https://registry.npmjs.org/remark-mdx/-/remark-mdx-1.6.22.tgz",
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|
@ -11262,6 +11360,18 @@
|
|||
"url": "https://opencollective.com/unified"
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}
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},
|
||||
"node_modules/unist-util-find-after": {
|
||||
"version": "3.0.0",
|
||||
"resolved": "https://registry.npmjs.org/unist-util-find-after/-/unist-util-find-after-3.0.0.tgz",
|
||||
"integrity": "sha512-ojlBqfsBftYXExNu3+hHLfJQ/X1jYY/9vdm4yZWjIbf0VuWF6CRufci1ZyoD/wV2TYMKxXUoNuoqwy+CkgzAiQ==",
|
||||
"dependencies": {
|
||||
"unist-util-is": "^4.0.0"
|
||||
},
|
||||
"funding": {
|
||||
"type": "opencollective",
|
||||
"url": "https://opencollective.com/unified"
|
||||
}
|
||||
},
|
||||
"node_modules/unist-util-generated": {
|
||||
"version": "1.1.6",
|
||||
"resolved": "https://registry.npmjs.org/unist-util-generated/-/unist-util-generated-1.1.6.tgz",
|
||||
|
@ -14610,6 +14720,11 @@
|
|||
"resolved": "https://registry.npmjs.org/@types/json-schema/-/json-schema-7.0.11.tgz",
|
||||
"integrity": "sha512-wOuvG1SN4Us4rez+tylwwwCV1psiNVOkJeM3AUWUNWg/jDQY2+HE/444y5gc+jBmRqASOm2Oeh5c1axHobwRKQ=="
|
||||
},
|
||||
"@types/katex": {
|
||||
"version": "0.11.1",
|
||||
"resolved": "https://registry.npmjs.org/@types/katex/-/katex-0.11.1.tgz",
|
||||
"integrity": "sha512-DUlIj2nk0YnJdlWgsFuVKcX27MLW0KbKmGVoUHmFr+74FYYNUDAaj9ZqTADvsbE8rfxuVmSFc7KczYn5Y09ozg=="
|
||||
},
|
||||
"@types/mdast": {
|
||||
"version": "3.0.10",
|
||||
"resolved": "https://registry.npmjs.org/@types/mdast/-/mdast-3.0.10.tgz",
|
||||
|
@ -17082,6 +17197,11 @@
|
|||
"web-namespaces": "^1.0.0"
|
||||
}
|
||||
},
|
||||
"hast-util-is-element": {
|
||||
"version": "1.1.0",
|
||||
"resolved": "https://registry.npmjs.org/hast-util-is-element/-/hast-util-is-element-1.1.0.tgz",
|
||||
"integrity": "sha512-oUmNua0bFbdrD/ELDSSEadRVtWZOf3iF6Lbv81naqsIV99RnSCieTbWuWCY8BAeEfKJTKl0gRdokv+dELutHGQ=="
|
||||
},
|
||||
"hast-util-parse-selector": {
|
||||
"version": "2.2.5",
|
||||
"resolved": "https://registry.npmjs.org/hast-util-parse-selector/-/hast-util-parse-selector-2.2.5.tgz",
|
||||
|
@ -17123,6 +17243,16 @@
|
|||
"zwitch": "^1.0.0"
|
||||
}
|
||||
},
|
||||
"hast-util-to-text": {
|
||||
"version": "2.0.1",
|
||||
"resolved": "https://registry.npmjs.org/hast-util-to-text/-/hast-util-to-text-2.0.1.tgz",
|
||||
"integrity": "sha512-8nsgCARfs6VkwH2jJU9b8LNTuR4700na+0h3PqCaEk4MAnMDeu5P0tP8mjk9LLNGxIeQRLbiDbZVw6rku+pYsQ==",
|
||||
"requires": {
|
||||
"hast-util-is-element": "^1.0.0",
|
||||
"repeat-string": "^1.0.0",
|
||||
"unist-util-find-after": "^3.0.0"
|
||||
}
|
||||
},
|
||||
"hastscript": {
|
||||
"version": "6.0.0",
|
||||
"resolved": "https://registry.npmjs.org/hastscript/-/hastscript-6.0.0.tgz",
|
||||
|
@ -17694,6 +17824,21 @@
|
|||
"universalify": "^2.0.0"
|
||||
}
|
||||
},
|
||||
"katex": {
|
||||
"version": "0.13.24",
|
||||
"resolved": "https://registry.npmjs.org/katex/-/katex-0.13.24.tgz",
|
||||
"integrity": "sha512-jZxYuKCma3VS5UuxOx/rFV1QyGSl3Uy/i0kTJF3HgQ5xMinCQVF8Zd4bMY/9aI9b9A2pjIBOsjSSm68ykTAr8w==",
|
||||
"requires": {
|
||||
"commander": "^8.0.0"
|
||||
},
|
||||
"dependencies": {
|
||||
"commander": {
|
||||
"version": "8.3.0",
|
||||
"resolved": "https://registry.npmjs.org/commander/-/commander-8.3.0.tgz",
|
||||
"integrity": "sha512-OkTL9umf+He2DZkUq8f8J9of7yL6RJKI24dVITBmNfZBmri9zYZQrKkuXiKhyfPSu8tUhnVBB1iKXevvnlR4Ww=="
|
||||
}
|
||||
}
|
||||
},
|
||||
"keyv": {
|
||||
"version": "3.1.0",
|
||||
"resolved": "https://registry.npmjs.org/keyv/-/keyv-3.1.0.tgz",
|
||||
|
@ -19290,6 +19435,35 @@
|
|||
}
|
||||
}
|
||||
},
|
||||
"rehype-katex": {
|
||||
"version": "5.0.0",
|
||||
"resolved": "https://registry.npmjs.org/rehype-katex/-/rehype-katex-5.0.0.tgz",
|
||||
"integrity": "sha512-ksSuEKCql/IiIadOHiKRMjypva9BLhuwQNascMqaoGLDVd0k2NlE2wMvgZ3rpItzRKCd6vs8s7MFbb8pcR0AEg==",
|
||||
"requires": {
|
||||
"@types/katex": "^0.11.0",
|
||||
"hast-util-to-text": "^2.0.0",
|
||||
"katex": "^0.13.0",
|
||||
"rehype-parse": "^7.0.0",
|
||||
"unified": "^9.0.0",
|
||||
"unist-util-visit": "^2.0.0"
|
||||
}
|
||||
},
|
||||
"rehype-parse": {
|
||||
"version": "7.0.1",
|
||||
"resolved": "https://registry.npmjs.org/rehype-parse/-/rehype-parse-7.0.1.tgz",
|
||||
"integrity": "sha512-fOiR9a9xH+Le19i4fGzIEowAbwG7idy2Jzs4mOrFWBSJ0sNUgy0ev871dwWnbOo371SjgjG4pwzrbgSVrKxecw==",
|
||||
"requires": {
|
||||
"hast-util-from-parse5": "^6.0.0",
|
||||
"parse5": "^6.0.0"
|
||||
},
|
||||
"dependencies": {
|
||||
"parse5": {
|
||||
"version": "6.0.1",
|
||||
"resolved": "https://registry.npmjs.org/parse5/-/parse5-6.0.1.tgz",
|
||||
"integrity": "sha512-Ofn/CTFzRGTTxwpNEs9PP93gXShHcTq255nzRYSKe8AkVpZY7e1fpmTfOyoIvjP5HG7Z2ZM7VS9PPhQGW2pOpw=="
|
||||
}
|
||||
}
|
||||
},
|
||||
"relateurl": {
|
||||
"version": "0.2.7",
|
||||
"resolved": "https://registry.npmjs.org/relateurl/-/relateurl-0.2.7.tgz",
|
||||
|
@ -19310,6 +19484,11 @@
|
|||
"resolved": "https://registry.npmjs.org/remark-footnotes/-/remark-footnotes-2.0.0.tgz",
|
||||
"integrity": "sha512-3Clt8ZMH75Ayjp9q4CorNeyjwIxHFcTkaektplKGl2A1jNGEUey8cKL0ZC5vJwfcD5GFGsNLImLG/NGzWIzoMQ=="
|
||||
},
|
||||
"remark-math": {
|
||||
"version": "3.0.1",
|
||||
"resolved": "https://registry.npmjs.org/remark-math/-/remark-math-3.0.1.tgz",
|
||||
"integrity": "sha512-epT77R/HK0x7NqrWHdSV75uNLwn8g9qTyMqCRCDujL0vj/6T6+yhdrR7mjELWtkse+Fw02kijAaBuVcHBor1+Q=="
|
||||
},
|
||||
"remark-mdx": {
|
||||
"version": "1.6.22",
|
||||
"resolved": "https://registry.npmjs.org/remark-mdx/-/remark-mdx-1.6.22.tgz",
|
||||
|
@ -20459,6 +20638,14 @@
|
|||
"resolved": "https://registry.npmjs.org/unist-builder/-/unist-builder-2.0.3.tgz",
|
||||
"integrity": "sha512-f98yt5pnlMWlzP539tPc4grGMsFaQQlP/vM396b00jngsiINumNmsY8rkXjfoi1c6QaM8nQ3vaGDuoKWbe/1Uw=="
|
||||
},
|
||||
"unist-util-find-after": {
|
||||
"version": "3.0.0",
|
||||
"resolved": "https://registry.npmjs.org/unist-util-find-after/-/unist-util-find-after-3.0.0.tgz",
|
||||
"integrity": "sha512-ojlBqfsBftYXExNu3+hHLfJQ/X1jYY/9vdm4yZWjIbf0VuWF6CRufci1ZyoD/wV2TYMKxXUoNuoqwy+CkgzAiQ==",
|
||||
"requires": {
|
||||
"unist-util-is": "^4.0.0"
|
||||
}
|
||||
},
|
||||
"unist-util-generated": {
|
||||
"version": "1.1.6",
|
||||
"resolved": "https://registry.npmjs.org/unist-util-generated/-/unist-util-generated-1.1.6.tgz",
|
||||
|
|
|
@ -18,9 +18,12 @@
|
|||
"@docusaurus/preset-classic": "2.0.1",
|
||||
"@mdx-js/react": "^1.6.22",
|
||||
"clsx": "^1.2.1",
|
||||
"hast-util-is-element": "^1.1.0",
|
||||
"prism-react-renderer": "^1.3.5",
|
||||
"react": "^17.0.2",
|
||||
"react-dom": "^17.0.2"
|
||||
"react-dom": "^17.0.2",
|
||||
"rehype-katex": "^5.0.0",
|
||||
"remark-math": "^3.0.1"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@docusaurus/module-type-aliases": "2.0.1"
|
||||
|
|
Loading…
Reference in New Issue