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https://github.com/BigMarc/grammargem.git
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3d749e8139
- Added LiveMonitor class to scan text areas in the frontmost window for grammar and spelling issues. - Introduced DetectedField struct to represent text areas with issues, including suggestions for corrections. - Implemented functionality to apply corrections and dismiss suggestions. - Added Permissions class to manage Accessibility permissions required for monitoring. - Created SnippetStore for managing text-expansion snippets, including persistence to UserDefaults. - Developed TextCapture class to read and write text from the frontmost application using Accessibility API and clipboard fallback. - Implemented TextFieldScanner to traverse the Accessibility tree and collect editable text elements. - Added TextReplacementCoordinator to orchestrate the text correction process. - Integrated UpdaterManager for handling application updates using Sparkle. - Created comprehensive unit tests for various components, including grammar corrections and entitlement checks.
21 lines
1013 B
Swift
21 lines
1013 B
Swift
import Foundation
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/// A deterministic, on-device "cleanliness" score (0–100) for a chunk of text.
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///
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/// Honest by construction: it's defined relative to *this* text — weighted issues
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/// per 100 words — never a hidden cloud cohort, and grammar/spelling are always
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/// fully resolvable, so a clean document genuinely reaches 100. (Contrast with
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/// Grammarly's percentile-vs-other-users score, which needs telemetry + an
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/// account; see docs/grammarly-value-plan.md §5.)
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enum WritingScore {
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/// - Parameters:
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/// - weightedIssues: sum of `GrammarKind.severity` across outstanding issues.
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/// - words: total words in the scanned text.
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static func score(weightedIssues: Int, words: Int) -> Int {
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guard words > 0 else { return 100 }
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let perHundredWords = Double(weightedIssues) / Double(words) * 100.0
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// Each weighted issue per 100 words costs ~4 points; clamp to 0…100.
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return max(0, min(100, Int((100.0 - perHundredWords * 4.0).rounded())))
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}
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}
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