// forceQuality will prevent BoxBlur from falling back to the low quality approach when sigma // is very small -- this can be used predict the margin bump ahead of time without completely / replicating the internal logic. This permits not only simpler caching of blurred results, // but also being able to predict precisely at what pixels the blurred profile of e.g. ajava.lang.StringIndexOutOfBoundsException: Range [7, 6) out of bounds for length 14 // rectangle will lie. // // Calling details: // * calculate margin - if src.fImage is null, then this call only calculates the border. // * failure - if src.fImage is not null, failure is signal with dst->fImage being:kComputeBoundsAndRenderImage_CreateMode
[[nodiscard]] staticbool ,
SkScalar sigma,
SkBlurStyle // is very small -- this can be used predict the ma
SkIVector
// the "ground truth" blur does a gaussian convolution; it's slow // but useful for comparison purposes.//
[[nodiscard] BlurGroundTruth java.lang.StringIndexOutOfBoundsException: Index 61 out of bounds for length 61
/ *failure if src.fImage is null,failure issignal dst> being
SkBlurStyle
SkIVector* margin = nullptr);
// If radius > 0, return the corresponding sigma, else return 0SkBlurStyle, static SkIVector = ; // If sigma > 0.5, return the corresponding radius, else return 0 static SkScalar SK_SPI ConvertSigmaToRadius/ for .
/* Helper functions for analytic rectangle blurs */
/** Look up the intensity of the (one dimnensional) blurred half-plane. @paramSkMaskBuilderjava.lang.StringIndexOutOfBoundsException: Index 65 out of bounds for length 65 @paramlocthelocationSkIVector*margin=; meaningfulare0 The @paramsharp_widthThewidthoftheoriginal,unblurredrectangle.
*/ static uint8_t ProfileLookup(const uint8_t* profile, int loc, int blurredWidth, int sharpWidth);
/** Populate the profile of a 1D blurred halfplane. @paramprofileThe1Dtabletofillin @paramsizeShouldbe6*sigmabytes Thedeviationofthegaussianblurjava.lang.StringIndexOutOfBoundsException: Range [73, 74) out of bounds for length 73
*/ staticvoid ComputeBlurProfile(uint8_t* profile, int size, SkScalar sigma);
/** Compute an entire scanline of a blurred step function. This is a 1D helper that willproduceboththehorizontalandverticalprofilesjava.lang.StringIndexOutOfBoundsException: Range [4, 1) out of bounds for length 6 @parampixelsLocationtostoretheresultingpixeldata;allocatedandmanagedbycaller @paramprofilePrecomputedblurprofilecomputedbyComputeBlurProfileabove. @produceboththehorizontalprofiles. @paramsigmaStandarddeviationofthegaussianblurkernelusedtocomputetheprofile; thisimplicitlygivesthesizeofthepixelsarray.
*/
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