BranchesTags

Repository files navigation

Getting Started

Clone this repo, create a branch called candidates/[your-name] and run npm i to install the packages, you will need Node.js version 16 or higher.

Run npm run code from a terminal window to execute the program

Coding Interview Test

The resources\harvests.csv csv file contains the results of this years harvest for some of our clients in the following format

OrganisationCommodityArea (Hectares)Predicted (Tonnes)Actual (Tonnes)
Sentry12031676.591900
Sentry1118014501300

Engineering have been asked to provide the difference in t/h (tonnes per hectare) between the predicted and actual yield for each client and commodity combination. The predicted / actual columns in the CSV represent the total number of tonnes harvested from the area in hectares in the area column.

Using the process function in index.ts as an entry point write a pipeline using functional programming approach that performs the following tasks.

  1. Use the fs library to read contents of the resources\harvests.csv
  2. Define a type and parse the file contents into an array the defined type
  3. Group the array by organisation and commodity
  4. Define another type for the results, this should include organisation, commodity, actual t/h, predicted t/h & differential t/h
  5. Perform the required calculations to work out the predicted and actual t/h rounded to 2 decimal places and build your results array
  6. Write the array to console sorted by lowest to highest differential

Ramda

You do not have to use ramda library for the task, feel free to write your own code or use another library for function composition.

If you do use ramda, some tips...

Use the Ramda library's pipe (left-to-right function composition) or compose (right-to-left function composition) to compose your functions, for example...

constresult=R.pipe<[Type1],Type2,Type3>(fn1,fn2,fn3)constresult=R.compose<[Type1],Type2,Type3>(fn3,fn2,fn1)

You can chain async functions together as follows

R.pipe<[string],Promise<string>,Promise<string>,Promise<void>>(fn1,R.andThen(fn2),R.andThen(fn3))("input to fn1")

In the above example the fn1 function takes a string as input and returns a Promise<string> fn2 takes the output of fn1 as input and returns Promise<string>.

Note, once you have invoked an async function in the pipe / compose chain of functions all subsequent return types need to be a Promise even if they are not async, in the above example fn3 may or may not be async.

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Getting Started
Clone this repo, create a branch called candidates/[your-name] and run npm i to install the packages, you will need Node.js version 16 or higher.
Run npm run code from a terminal window to execute the program
Coding Interview Test
The resources\harvests.csv csv file contains the results of this years harvest for some of our clients in the following format
OrganisationCommodityArea (Hectares)Predicted (Tonnes)Actual (Tonnes)
Sentry12031676.591900
Sentry1118014501300
Engineering have been asked to provide the difference in t/h (tonnes per hectare) between the predicted and actual yield for each client and commodity combination. The predicted / actual columns in the CSV represent the total number of tonnes harvested from the area in hectares in the area column.
Using the process function in index.ts as an entry point write a pipeline using functional programming approach that performs the following tasks.
  1. Use the fs library to read contents of the resources\harvests.csv
  2. Define a type and parse the file contents into an array the defined type
  3. Group the array by organisation and commodity
  4. Define another type for the results, this should include organisation, commodity, actual t/h, predicted t/h & differential t/h
  5. Perform the required calculations to work out the predicted and actual t/h rounded to 2 decimal places and build your results array
  6. Write the array to console sorted by lowest to highest differential
Ramda
You do not have to use ramda library for the task, feel free to write your own code or use another library for function composition.
If you do use ramda, some tips...
Use the Ramda library's pipe (left-to-right function composition) or compose (right-to-left function composition) to compose your functions, for example...
constresult=R.pipe<[Type1],Type2,Type3>(fn1,fn2,fn3)constresult=R.compose<[Type1],Type2,Type3>(fn3,fn2,fn1)
You can chain async functions together as follows
R.pipe<[string],Promise<string>,Promise<string>,Promise<void>>(fn1,R.andThen(fn2),R.andThen(fn3))("input to fn1")
In the above example the fn1 function takes a string as input and returns a Promise<string> fn2 takes the output of fn1 as input and returns Promise<string>.
Note, once you have invoked an async function in the pipe / compose chain of functions all subsequent return types need to be a Promise even if they are not async, in the above example fn3 may or may not be async.
About
Interview Test
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
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Used by
Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Getting Started
Clone this repo, create a branch called candidates/[your-name] and run npm i to install the packages, you will need Node.js version 16 or higher.
Run npm run code from a terminal window to execute the program
Coding Interview Test
The resources\harvests.csv csv file contains the results of this years harvest for some of our clients in the following format
OrganisationCommodityArea (Hectares)Predicted (Tonnes)Actual (Tonnes)
Sentry12031676.591900
Sentry1118014501300
Engineering have been asked to provide the difference in t/h (tonnes per hectare) between the predicted and actual yield for each client and commodity combination. The predicted / actual columns in the CSV represent the total number of tonnes harvested from the area in hectares in the area column.
Using the process function in index.ts as an entry point write a pipeline using functional programming approach that performs the following tasks.
  1. Use the fs library to read contents of the resources\harvests.csv
  2. Define a type and parse the file contents into an array the defined type
  3. Group the array by organisation and commodity
  4. Define another type for the results, this should include organisation, commodity, actual t/h, predicted t/h & differential t/h
  5. Perform the required calculations to work out the predicted and actual t/h rounded to 2 decimal places and build your results array
  6. Write the array to console sorted by lowest to highest differential
Ramda
You do not have to use ramda library for the task, feel free to write your own code or use another library for function composition.
If you do use ramda, some tips...
Use the Ramda library's pipe (left-to-right function composition) or compose (right-to-left function composition) to compose your functions, for example...
constresult=R.pipe<[Type1],Type2,Type3>(fn1,fn2,fn3)constresult=R.compose<[Type1],Type2,Type3>(fn3,fn2,fn1)
You can chain async functions together as follows
R.pipe<[string],Promise<string>,Promise<string>,Promise<void>>(fn1,R.andThen(fn2),R.andThen(fn3))("input to fn1")
In the above example the fn1 function takes a string as input and returns a Promise<string> fn2 takes the output of fn1 as input and returns Promise<string>.
Note, once you have invoked an async function in the pipe / compose chain of functions all subsequent return types need to be a Promise even if they are not async, in the above example fn3 may or may not be async.
About
Interview Test
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Getting Started
Clone this repo, create a branch called candidates/[your-name] and run npm i to install the packages, you will need Node.js version 16 or higher.
Run npm run code from a terminal window to execute the program
Coding Interview Test
The resources\harvests.csv csv file contains the results of this years harvest for some of our clients in the following format
OrganisationCommodityArea (Hectares)Predicted (Tonnes)Actual (Tonnes)
Sentry12031676.591900
Sentry1118014501300
Engineering have been asked to provide the difference in t/h (tonnes per hectare) between the predicted and actual yield for each client and commodity combination. The predicted / actual columns in the CSV represent the total number of tonnes harvested from the area in hectares in the area column.
Using the process function in index.ts as an entry point write a pipeline using functional programming approach that performs the following tasks.
  1. Use the fs library to read contents of the resources\harvests.csv
  2. Define a type and parse the file contents into an array the defined type
  3. Group the array by organisation and commodity
  4. Define another type for the results, this should include organisation, commodity, actual t/h, predicted t/h & differential t/h
  5. Perform the required calculations to work out the predicted and actual t/h rounded to 2 decimal places and build your results array
  6. Write the array to console sorted by lowest to highest differential
Ramda
You do not have to use ramda library for the task, feel free to write your own code or use another library for function composition.
If you do use ramda, some tips...
Use the Ramda library's pipe (left-to-right function composition) or compose (right-to-left function composition) to compose your functions, for example...
constresult=R.pipe<[Type1],Type2,Type3>(fn1,fn2,fn3)constresult=R.compose<[Type1],Type2,Type3>(fn3,fn2,fn1)
You can chain async functions together as follows
R.pipe<[string],Promise<string>,Promise<string>,Promise<void>>(fn1,R.andThen(fn2),R.andThen(fn3))("input to fn1")
In the above example the fn1 function takes a string as input and returns a Promise<string> fn2 takes the output of fn1 as input and returns Promise<string>.
Note, once you have invoked an async function in the pipe / compose chain of functions all subsequent return types need to be a Promise even if they are not async, in the above example fn3 may or may not be async.
About
Interview Test
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Getting Started
Clone this repo, create a branch called candidates/[your-name] and run npm i to install the packages, you will need Node.js version 16 or higher.
Run npm run code from a terminal window to execute the program
Coding Interview Test
The resources\harvests.csv csv file contains the results of this years harvest for some of our clients in the following format
OrganisationCommodityArea (Hectares)Predicted (Tonnes)Actual (Tonnes)
Sentry12031676.591900
Sentry1118014501300
Engineering have been asked to provide the difference in t/h (tonnes per hectare) between the predicted and actual yield for each client and commodity combination. The predicted / actual columns in the CSV represent the total number of tonnes harvested from the area in hectares in the area column.
Using the process function in index.ts as an entry point write a pipeline using functional programming approach that performs the following tasks.
  1. Use the fs library to read contents of the resources\harvests.csv
  2. Define a type and parse the file contents into an array the defined type
  3. Group the array by organisation and commodity
  4. Define another type for the results, this should include organisation, commodity, actual t/h, predicted t/h & differential t/h
  5. Perform the required calculations to work out the predicted and actual t/h rounded to 2 decimal places and build your results array
  6. Write the array to console sorted by lowest to highest differential
Ramda
You do not have to use ramda library for the task, feel free to write your own code or use another library for function composition.
If you do use ramda, some tips...
Use the Ramda library's pipe (left-to-right function composition) or compose (right-to-left function composition) to compose your functions, for example...
constresult=R.pipe<[Type1],Type2,Type3>(fn1,fn2,fn3)constresult=R.compose<[Type1],Type2,Type3>(fn3,fn2,fn1)
You can chain async functions together as follows
R.pipe<[string],Promise<string>,Promise<string>,Promise<void>>(fn1,R.andThen(fn2),R.andThen(fn3))("input to fn1")
In the above example the fn1 function takes a string as input and returns a Promise<string> fn2 takes the output of fn1 as input and returns Promise<string>.
Note, once you have invoked an async function in the pipe / compose chain of functions all subsequent return types need to be a Promise even if they are not async, in the above example fn3 may or may not be async.
About
Interview Test
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Getting Started
Clone this repo, create a branch called candidates/[your-name] and run npm i to install the packages, you will need Node.js version 16 or higher.
Run npm run code from a terminal window to execute the program
Coding Interview Test
The resources\harvests.csv csv file contains the results of this years harvest for some of our clients in the following format
OrganisationCommodityArea (Hectares)Predicted (Tonnes)Actual (Tonnes)
Sentry12031676.591900
Sentry1118014501300
Engineering have been asked to provide the difference in t/h (tonnes per hectare) between the predicted and actual yield for each client and commodity combination. The predicted / actual columns in the CSV represent the total number of tonnes harvested from the area in hectares in the area column.
Using the process function in index.ts as an entry point write a pipeline using functional programming approach that performs the following tasks.
  1. Use the fs library to read contents of the resources\harvests.csv
  2. Define a type and parse the file contents into an array the defined type
  3. Group the array by organisation and commodity
  4. Define another type for the results, this should include organisation, commodity, actual t/h, predicted t/h & differential t/h
  5. Perform the required calculations to work out the predicted and actual t/h rounded to 2 decimal places and build your results array
  6. Write the array to console sorted by lowest to highest differential
Ramda
You do not have to use ramda library for the task, feel free to write your own code or use another library for function composition.
If you do use ramda, some tips...
Use the Ramda library's pipe (left-to-right function composition) or compose (right-to-left function composition) to compose your functions, for example...
constresult=R.pipe<[Type1],Type2,Type3>(fn1,fn2,fn3)constresult=R.compose<[Type1],Type2,Type3>(fn3,fn2,fn1)
You can chain async functions together as follows
R.pipe<[string],Promise<string>,Promise<string>,Promise<void>>(fn1,R.andThen(fn2),R.andThen(fn3))("input to fn1")
In the above example the fn1 function takes a string as input and returns a Promise<string> fn2 takes the output of fn1 as input and returns Promise<string>.
Note, once you have invoked an async function in the pipe / compose chain of functions all subsequent return types need to be a Promise even if they are not async, in the above example fn3 may or may not be async.
About
Interview Test
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Getting Started
Clone this repo, create a branch called candidates/[your-name] and run npm i to install the packages, you will need Node.js version 16 or higher.
Run npm run code from a terminal window to execute the program
Coding Interview Test
The resources\harvests.csv csv file contains the results of this years harvest for some of our clients in the following format
OrganisationCommodityArea (Hectares)Predicted (Tonnes)Actual (Tonnes)
Sentry12031676.591900
Sentry1118014501300
Engineering have been asked to provide the difference in t/h (tonnes per hectare) between the predicted and actual yield for each client and commodity combination. The predicted / actual columns in the CSV represent the total number of tonnes harvested from the area in hectares in the area column.
Using the process function in index.ts as an entry point write a pipeline using functional programming approach that performs the following tasks.
  1. Use the fs library to read contents of the resources\harvests.csv
  2. Define a type and parse the file contents into an array the defined type
  3. Group the array by organisation and commodity
  4. Define another type for the results, this should include organisation, commodity, actual t/h, predicted t/h & differential t/h
  5. Perform the required calculations to work out the predicted and actual t/h rounded to 2 decimal places and build your results array
  6. Write the array to console sorted by lowest to highest differential
Ramda
You do not have to use ramda library for the task, feel free to write your own code or use another library for function composition.
If you do use ramda, some tips...
Use the Ramda library's pipe (left-to-right function composition) or compose (right-to-left function composition) to compose your functions, for example...
constresult=R.pipe<[Type1],Type2,Type3>(fn1,fn2,fn3)constresult=R.compose<[Type1],Type2,Type3>(fn3,fn2,fn1)
You can chain async functions together as follows
R.pipe<[string],Promise<string>,Promise<string>,Promise<void>>(fn1,R.andThen(fn2),R.andThen(fn3))("input to fn1")
In the above example the fn1 function takes a string as input and returns a Promise<string> fn2 takes the output of fn1 as input and returns Promise<string>.
Note, once you have invoked an async function in the pipe / compose chain of functions all subsequent return types need to be a Promise even if they are not async, in the above example fn3 may or may not be async.
About
Interview Test
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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Getting Started
Clone this repo, create a branch called candidates/[your-name] and run npm i to install the packages, you will need Node.js version 16 or higher.
Run npm run code from a terminal window to execute the program
Coding Interview Test
The resources\harvests.csv csv file contains the results of this years harvest for some of our clients in the following format
OrganisationCommodityArea (Hectares)Predicted (Tonnes)Actual (Tonnes)
Sentry12031676.591900
Sentry1118014501300
Engineering have been asked to provide the difference in t/h (tonnes per hectare) between the predicted and actual yield for each client and commodity combination. The predicted / actual columns in the CSV represent the total number of tonnes harvested from the area in hectares in the area column.
Using the process function in index.ts as an entry point write a pipeline using functional programming approach that performs the following tasks.
  1. Use the fs library to read contents of the resources\harvests.csv
  2. Define a type and parse the file contents into an array the defined type
  3. Group the array by organisation and commodity
  4. Define another type for the results, this should include organisation, commodity, actual t/h, predicted t/h & differential t/h
  5. Perform the required calculations to work out the predicted and actual t/h rounded to 2 decimal places and build your results array
  6. Write the array to console sorted by lowest to highest differential
Ramda
You do not have to use ramda library for the task, feel free to write your own code or use another library for function composition.
If you do use ramda, some tips...
Use the Ramda library's pipe (left-to-right function composition) or compose (right-to-left function composition) to compose your functions, for example...
constresult=R.pipe<[Type1],Type2,Type3>(fn1,fn2,fn3)constresult=R.compose<[Type1],Type2,Type3>(fn3,fn2,fn1)
You can chain async functions together as follows
R.pipe<[string],Promise<string>,Promise<string>,Promise<void>>(fn1,R.andThen(fn2),R.andThen(fn3))("input to fn1")
In the above example the fn1 function takes a string as input and returns a Promise<string> fn2 takes the output of fn1 as input and returns Promise<string>.
Note, once you have invoked an async function in the pipe / compose chain of functions all subsequent return types need to be a Promise even if they are not async, in the above example fn3 may or may not be async.
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