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8 changes: 8 additions & 0 deletions config.json
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Expand Up @@ -894,6 +894,14 @@
"prerequisites": [],
"difficulty": 8
},
{
"slug": "parallel-letter-frequency",
"name": "Parallel Letter Frequency",
"uuid": "5b856b54-c8be-4d90-be7c-60a441625fd0",
"practices": [],
"prerequisites": [],
"difficulty": 8
},
{
"slug": "minesweeper",
"name": "Minesweeper",
Expand Down
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# Instructions

Count the frequency of letters in texts using parallel computation.

Parallelism is about doing things in parallel that can also be done sequentially.
A common example is counting the frequency of letters.
Employ parallelism to calculate the total frequency of each letter in a list of texts.
18 changes: 18 additions & 0 deletions exercises/practice/parallel-letter-frequency/.meta/config.json
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{
"authors": [
"BNAndras",
"CoolKatt"
],
"files": {
"solution": [
"parallel-letter-frequency.coffee"
],
"test": [
"parallel-letter-frequency.spec.coffee"
],
"example": [
".meta/example.coffee"
]
},
"blurb": "Count the frequency of letters in texts using parallel computation."
}
33 changes: 33 additions & 0 deletions exercises/practice/parallel-letter-frequency/.meta/example.coffee
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{ Worker } = require 'node:worker_threads'

class ParallelLetterFrequency
@parallelLetterFrequency: (texts) ->
formatedTexts = texts
.map (x) ->
x.toLowerCase().match(/\p{Letter}+/gu)?.join('') ? ''
.filter (x) -> x isnt ''

processSingleText = (text) ->
new Promise (resolve, reject) ->
workerCode = """
const { workerData, parentPort } = require('node:worker_threads');
const countInWorker = (data) =>
[...data].reduce((acc, cur) => {
acc[cur] = (acc[cur] || 0) + 1;
return acc;
}, {});
parentPort.postMessage(countInWorker(workerData));
"""
worker = new Worker workerCode, eval: true, workerData: text
worker.on 'message', resolve
worker.on 'error', reject

Promise.all formatedTexts.map(processSingleText)
.then (results) ->
results.reduce (acc, cur) ->
for letter, count of cur
acc[letter] = (acc[letter] or 0) + count
acc
, {}

module.exports = ParallelLetterFrequency
49 changes: 49 additions & 0 deletions exercises/practice/parallel-letter-frequency/.meta/tests.toml
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# This is an auto-generated file.
#
# Regenerating this file via `configlet sync` will:
# - Recreate every `description` key/value pair
# - Recreate every `reimplements` key/value pair, where they exist in problem-specifications
# - Remove any `include = true` key/value pair (an omitted `include` key implies inclusion)
# - Preserve any other key/value pair
#
# As user-added comments (using the # character) will be removed when this file
# is regenerated, comments can be added via a `comment` key.

[c054d642-c1fa-4234-8007-9339f2337886]
description = "no texts"

[818031be-49dc-4675-b2f9-c4047f638a2a]
description = "one text with one letter"

[c0b81d1b-940d-4cea-9f49-8445c69c17ae]
description = "one text with multiple letters"

[708ff1e0-f14a-43fd-adb5-e76750dcf108]
description = "two texts with one letter"

[1b5c28bb-4619-4c9d-8db9-a4bb9c3bdca0]
description = "two texts with multiple letters"

[6366e2b8-b84c-4334-a047-03a00a656d63]
description = "ignore letter casing"

[92ebcbb0-9181-4421-a784-f6f5aa79f75b]
description = "ignore whitespace"

[bc5f4203-00ce-4acc-a5fa-f7b865376fd9]
description = "ignore punctuation"

[68032b8b-346b-4389-a380-e397618f6831]
description = "ignore numbers"

[aa9f97ac-3961-4af1-88e7-6efed1bfddfd]
description = "Unicode letters"

[7b1da046-701b-41fc-813e-dcfb5ee51813]
description = "combination of lower- and uppercase letters, punctuation and white space"

[4727f020-df62-4dcf-99b2-a6e58319cb4f]
description = "large texts"

[adf8e57b-8e54-4483-b6b8-8b32c115884c]
description = "many small texts"
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class ParallelLetterFrequency
@parallelLetterFrequency: (texts) ->

module.exports = ParallelLetterFrequency
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