disable syntax highlighting and plugin

[ksirrah13]

One of the plugins Mathpix provides is to do code syntax highlighting. We don't really deal in code and the library used to do this is very large. We can disable this plugin and remove this library to save 1.4 MB from being included in our bundle which will help out page load times.
https://mathpix.com/docs/mathpix-markdown/syntax-reference#code

Note the only code change I made are in the src directory which is to remove the mdPluginHighlightCode plugin from being added and cleaning up the plugin code itself. The rest of the files are generated from running compile and build.

I was thinking about trying to dynamically toggle this plugin on or off based on a feature flag we could pass but then it became tricky how to conditional include it as a dependency in the package.json and handling lazy loading the package at runtime so I figured I'd just remove it clean and if we need/want this functionality later it's easy to import it back in from the base repo.

The highlight js package which can be eliminated from mathpix renderer.

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[pull-request-quantifier-deprecated]

This PR has 8 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!

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Label      : Extra Small
Size       : +1 -7
Percentile : 3.2%

Total files changed: 4

Change summary by file extension:
.json : +0 -1
.tsx : +1 -4
.ts : +0 -2

Change counts above are quantified counts, based on the PullRequestQuantifier customizations.

Why proper sizing of changes matters

Optimal pull request sizes drive a better predictable PR flow as they strike a
balance between between PR complexity and PR review overhead. PRs within the
optimal size (typical small, or medium sized PRs) mean:

• Fast and predictable releases to production:
  • Optimal size changes are more likely to be reviewed faster with fewer
    iterations.
  • Similarity in low PR complexity drives similar review times.
• Review quality is likely higher as complexity is lower:
  • Bugs are more likely to be detected.
  • Code inconsistencies are more likely to be detected.
• Knowledge sharing is improved within the participants:
  • Small portions can be assimilated better.
• Better engineering practices are exercised:
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  • Exercising separation of concerns within the code changes.

What can I do to optimize my changes

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This PR has 37 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!

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Total files changed: 5

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Change counts above are quantified counts, based on the PullRequestQuantifier customizations.

Why proper sizing of changes matters

Optimal pull request sizes drive a better predictable PR flow as they strike a
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• Fast and predictable releases to production:
  • Optimal size changes are more likely to be reviewed faster with fewer
    iterations.
  • Similarity in low PR complexity drives similar review times.
• Review quality is likely higher as complexity is lower:
  • Bugs are more likely to be detected.
  • Code inconsistencies are more likely to be detected.
• Knowledge sharing is improved within the participants:
  • Small portions can be assimilated better.
• Better engineering practices are exercised:
  • Solving big problems by dividing them in well contained, smaller problems.
  • Exercising separation of concerns within the code changes.

What can I do to optimize my changes

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How to interpret the change counts in git diff output

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  interpret that line like one addition plus one deletion)
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This PR has 56 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!

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Total files changed: 14

Change summary by file extension:
.js : +3 -7
.ts : +2 -38
.map : +0 -0
.json : +0 -1
.tsx : +1 -4

Change counts above are quantified counts, based on the PullRequestQuantifier customizations.

Why proper sizing of changes matters

Optimal pull request sizes drive a better predictable PR flow as they strike a
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• Fast and predictable releases to production:
  • Optimal size changes are more likely to be reviewed faster with fewer
    iterations.
  • Similarity in low PR complexity drives similar review times.
• Review quality is likely higher as complexity is lower:
  • Bugs are more likely to be detected.
  • Code inconsistencies are more likely to be detected.
• Knowledge sharing is improved within the participants:
  • Small portions can be assimilated better.
• Better engineering practices are exercised:
  • Solving big problems by dividing them in well contained, smaller problems.
  • Exercising separation of concerns within the code changes.

What can I do to optimize my changes

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How to interpret the change counts in git diff output

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• One line was deleted: +0 -1
• One line was modified: +1 -1 (git diff doesn't know about modified, it will
  interpret that line like one addition plus one deletion)
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[pull-request-quantifier-deprecated]

This PR has 60 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!

---

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Label      : Small
Size       : +10 -50
Percentile : 24%

Total files changed: 15

Change summary by file extension:
.md : +4 -0
.js : +3 -7
.ts : +2 -38
.map : +0 -0
.json : +0 -1
.tsx : +1 -4

Change counts above are quantified counts, based on the PullRequestQuantifier customizations.

Why proper sizing of changes matters

Optimal pull request sizes drive a better predictable PR flow as they strike a
balance between between PR complexity and PR review overhead. PRs within the
optimal size (typical small, or medium sized PRs) mean:

• Fast and predictable releases to production:
  • Optimal size changes are more likely to be reviewed faster with fewer
    iterations.
  • Similarity in low PR complexity drives similar review times.
• Review quality is likely higher as complexity is lower:
  • Bugs are more likely to be detected.
  • Code inconsistencies are more likely to be detected.
• Knowledge sharing is improved within the participants:
  • Small portions can be assimilated better.
• Better engineering practices are exercised:
  • Solving big problems by dividing them in well contained, smaller problems.
  • Exercising separation of concerns within the code changes.

What can I do to optimize my changes

• Use the PullRequestQuantifier to quantify your PR accurately
  • Create a context profile for your repo using the context generator
  • Exclude files that are not necessary to be reviewed or do not increase the review complexity. Example: Autogenerated code, docs, project IDE setting files, binaries, etc. Check out the Excluded section from your prquantifier.yaml context profile.
  • Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your prquantifier.yaml context profile.
  • Only use the labels that matter to you, see context specification to customize your prquantifier.yaml context profile.
• Change your engineering behaviors
  • For PRs that fall outside of the desired spectrum, review the details and check if:
    • Your PR could be split in smaller, self-contained PRs instead
    • Your PR only solves one particular issue. (For example, don't refactor and code new features in the same PR).

How to interpret the change counts in git diff output

• One line was added: +1 -0
• One line was deleted: +0 -1
• One line was modified: +1 -1 (git diff doesn't know about modified, it will
  interpret that line like one addition plus one deletion)
• Change percentiles: Change characteristics (addition, deletion, modification)
  of this PR in relation to all other PRs within the repository.

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[sebastiansandqvist]

Similar feedback to #2 -- I am curious whether instead of forking and modifying a snapshot of the mathpix dependency, maybe instead we could use patch-package? We'd still want to be super cautious when upgrading it, but then (hopefully) you wouldn't need to reimplement all of these sets of changes yet again.

[sebastiansandqvist]

Nice! A big, relatively straightforward reduction in file size. The overall approach still feels a bit sketchy to me, and also essentially forces us to remain on this exact version of mathpix-markdown forever. So, I don't love that aspect of it. But given that we are (I think?) already using this fork, the updates you have made here don't impact that.

Looks like there are other plugins we don't use, too, like this one:
https://shd101wyy.github.io/markdown-preview-enhanced/#/toc

[pull-request-quantifier-deprecated]

This PR has 60 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!

---

Quantification details

Label      : Small
Size       : +10 -50
Percentile : 24%

Total files changed: 15

Change summary by file extension:
.md : +4 -0
.js : +3 -7
.ts : +2 -38
.map : +0 -0
.json : +0 -1
.tsx : +1 -4

Change counts above are quantified counts, based on the PullRequestQuantifier customizations.

Why proper sizing of changes matters

Optimal pull request sizes drive a better predictable PR flow as they strike a
balance between between PR complexity and PR review overhead. PRs within the
optimal size (typical small, or medium sized PRs) mean:

• Fast and predictable releases to production:
  • Optimal size changes are more likely to be reviewed faster with fewer
    iterations.
  • Similarity in low PR complexity drives similar review times.
• Review quality is likely higher as complexity is lower:
  • Bugs are more likely to be detected.
  • Code inconsistencies are more likely to be detected.
• Knowledge sharing is improved within the participants:
  • Small portions can be assimilated better.
• Better engineering practices are exercised:
  • Solving big problems by dividing them in well contained, smaller problems.
  • Exercising separation of concerns within the code changes.

What can I do to optimize my changes

• Use the PullRequestQuantifier to quantify your PR accurately
  • Create a context profile for your repo using the context generator
  • Exclude files that are not necessary to be reviewed or do not increase the review complexity. Example: Autogenerated code, docs, project IDE setting files, binaries, etc. Check out the Excluded section from your prquantifier.yaml context profile.
  • Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your prquantifier.yaml context profile.
  • Only use the labels that matter to you, see context specification to customize your prquantifier.yaml context profile.
• Change your engineering behaviors
  • For PRs that fall outside of the desired spectrum, review the details and check if:
    • Your PR could be split in smaller, self-contained PRs instead
    • Your PR only solves one particular issue. (For example, don't refactor and code new features in the same PR).

How to interpret the change counts in git diff output

• One line was added: +1 -0
• One line was deleted: +0 -1
• One line was modified: +1 -1 (git diff doesn't know about modified, it will
  interpret that line like one addition plus one deletion)
• Change percentiles: Change characteristics (addition, deletion, modification)
  of this PR in relation to all other PRs within the repository.

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[ksirrah13]

Nice! A big, relatively straightforward reduction in file size. The overall approach still feels a bit sketchy to me, and also essentially forces us to remain on this exact version of mathpix-markdown forever. So, I don't love that aspect of it. But given that we are (I think?) already using this fork, the updates you have made here don't impact that.

Looks like there are other plugins we don't use, too, like this one: https://shd101wyy.github.io/markdown-preview-enhanced/#/toc

Thoughts about approach with patch package vs fork here: JuniLearning/MathJax-src#2 (comment)