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authorFreeArtMan <dos21h@gmail.com>2023-02-04 14:10:26 +0000
committerFreeArtMan <dos21h@gmail.com>2023-02-04 14:10:26 +0000
commit380f0fe40b1ab20790e75dac779e73667cc5ac72 (patch)
tree9fa3b9c93b58c966daa22f955282bc3c181d909a /md/writeup/swift_ocr_example.md
parentdf881efab146ca3ee61bf8936f948dd976fc4740 (diff)
downloadmd-content-380f0fe40b1ab20790e75dac779e73667cc5ac72.tar.gz
md-content-380f0fe40b1ab20790e75dac779e73667cc5ac72.zip
Update all content to new pygmentize
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diff --git a/md/writeup/swift_ocr_example.md b/md/writeup/swift_ocr_example.md
index ba45828..0e49164 100644
--- a/md/writeup/swift_ocr_example.md
+++ b/md/writeup/swift_ocr_example.md
@@ -16,7 +16,7 @@ The whole working prototype can fit just in few lines of code. All you need to c
is text recognition requester and handle that collect results. There is few example on
apple doc page.
-```siwft
+```swift
func recognizeImageUrl(_ url:URL, _ error: Error?) {
var pieces:[TextPiece] = []
var err:NSError?