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docs: use absolute paths for several broken links as temporary solution (#3389)

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Alexandr Garbuzov 2023-10-18 20:51:38 +03:00 • committed by GitHub
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@ -145,7 +145,7 @@ Change the `?username=` value to your GitHub username.
> By default, the stats card only shows statistics like stars, commits and pull requests from public repositories. To show private statistics on the stats card, you should [deploy your own instance](#deploy-on-your-own) using your own GitHub API token. > By default, the stats card only shows statistics like stars, commits and pull requests from public repositories. To show private statistics on the stats card, you should [deploy your own instance](#deploy-on-your-own) using your own GitHub API token.
> [!NOTE]\ > [!NOTE]\
> Available ranks are S (top 1%), A+ (12.5%), A (25%), A- (37.5%), B+ (50%), B (62.5%), B- (75%), C+ (87.5%) and C (everyone). This ranking scheme is based on the [Japanese academic grading](https://wikipedia.org/wiki/Academic_grading_in_Japan) system. The global percentile is calculated as a weighted sum of percentiles for each statistic (number of commits, pull requests, reviews, issues, stars and followers), based on the cumulative distribution function of the [exponential](https://wikipedia.org/wiki/exponential_distribution) and the [log-normal](https://wikipedia.org/wiki/Log-normal_distribution) distributions. The implementation can be investigated at [src/calculateRank.js](src/calculateRank.js). The circle around the rank shows 100 minus the global percentile. > Available ranks are S (top 1%), A+ (12.5%), A (25%), A- (37.5%), B+ (50%), B (62.5%), B- (75%), C+ (87.5%) and C (everyone). This ranking scheme is based on the [Japanese academic grading](https://wikipedia.org/wiki/Academic_grading_in_Japan) system. The global percentile is calculated as a weighted sum of percentiles for each statistic (number of commits, pull requests, reviews, issues, stars and followers), based on the cumulative distribution function of the [exponential](https://wikipedia.org/wiki/exponential_distribution) and the [log-normal](https://wikipedia.org/wiki/Log-normal_distribution) distributions. The implementation can be investigated at [src/calculateRank.js](https://github.com/anuraghazra/github-readme-stats/blob/master/src/calculateRank.js). The circle around the rank shows 100 minus the global percentile.
### Hiding individual stats ### Hiding individual stats
@ -753,7 +753,7 @@ Since the GitHub API only allows 5k requests per hour, my `https://github-readme
> Since [#58](https://github.com/anuraghazra/github-readme-stats/pull/58), we should be able to handle more than 5k requests and have fewer issues with downtime :grin:. > Since [#58](https://github.com/anuraghazra/github-readme-stats/pull/58), we should be able to handle more than 5k requests and have fewer issues with downtime :grin:.
> [!NOTE]\ > [!NOTE]\
> If you are on the [Pro (i.e. paid)](https://vercel.com/pricing) Vercel plan, the [maxDuration](https://vercel.com/docs/concepts/projects/project-configuration#value-definition) value found in the [Vercel.json](vercel.json) can be increased when your Vercel instance frequently times out during the card request. You are advised to keep this value lower than `30` seconds to prevent high memory usage. > If you are on the [Pro (i.e. paid)](https://vercel.com/pricing) Vercel plan, the [maxDuration](https://vercel.com/docs/concepts/projects/project-configuration#value-definition) value found in the [vercel.json](https://github.com/anuraghazra/github-readme-stats/blob/master/vercel.json) can be increased when your Vercel instance frequently times out during the card request. You are advised to keep this value lower than `30` seconds to prevent high memory usage.
[![Deploy to Vercel](https://vercel.com/button)](https://vercel.com/import/project?template=https://github.com/anuraghazra/github-readme-stats) [![Deploy to Vercel](https://vercel.com/button)](https://vercel.com/import/project?template=https://github.com/anuraghazra/github-readme-stats)