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Fix typos in Verify Changes workflow #2

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Merged
prachigauriar merged 1 commit into from
Aug 24, 2025
Merged

Fix typos in Verify Changes workflow #2

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5 changes: 1 addition & 4 deletions .github/workflows/VerifyChanges.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -34,15 +34,12 @@ jobs:
xcode_destination: "platform=macOS,arch=arm64"
- platform: tvOS
xcode_destination: "platform=tvOS Simulator,name=Apple TV 4K (3rd generation) (at 1080p)"
- platform: watchOS
xcode_destination: "platform=watchOS Simulator,name=Apple Watch SE (40mm) (2nd generation)"
env:
DEV_BUILDS: DevBuilds/Sources
OTHER_XCODE_FLAGS: ${{ matrix.other_xcode_flags }}
XCCOV_PRETTY_VERSION: 1.2.0
XCODE_SCHEME: DevColorExtraction
XCODE_DESTINATION: ${{ matrix.xcode_destination }}
XCODE_TEST_PLAN: AllTests
steps:
- name: Checkout
uses: actions/checkout@v4
Expand Down Expand Up @@ -84,7 +81,7 @@ jobs:
- name: Log Code Coverage
if: github.event_name != 'push'
run: |
xcrun xccov view --report .build/DevColorExtraction-Package_test.xcresult --json \
xcrun xccov view --report .build/DevColorExtraction_test.xcresult --json \
| ./xccovPretty --github-comment \
> .build/xccovPretty-${{ matrix.platform }}.output
- name: Upload Logs
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2 changes: 1 addition & 1 deletion CHANGELOG.md
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Expand Up @@ -5,6 +5,6 @@

This is the first release of DevColorExtraction. The initial feature set includes

- Extracting the most common colors from a `CGImage` using k-means clustering
- Extracting the most common colors from a `CGImage` using CoreImage’s k-means clustering filter
- Support for edge-based color extraction (top, left, bottom, and right edges)
- Configurable number of colors and clustering passes
1 change: 0 additions & 1 deletion Package.swift
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Expand Up @@ -8,7 +8,6 @@ let package = Package(
.iOS(.v18),
.macOS(.v15),
.tvOS(.v18),
.watchOS(.v11),
],
products: [
.library(
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -2,7 +2,7 @@

DevColorExtraction is a Swift package that extracts the most common colors from images using
k-means clustering. It provides efficient color analysis with support for edge-based extraction and
is fully documented and tested. It supports iOS 18+, macOS 15+, tvOS 18+, and watchOS 11+.
is fully documented and tested. It supports iOS 18+, macOS 15+, and tvOS 18+.

View our [changelog](CHANGELOG.md) to see what’s new.

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