Docs: ensure all functions include method signature #3777

docs/api-channel.md

@@ -1,4 +1,6 @@
 ## removeAlpha
+> removeAlpha() ⇒ <code>Sharp</code>
+
 Remove alpha channel, if any. This is a no-op if the image does not have an alpha channel.
 
 See also [flatten](/api-operation#flatten).
@@ -15,6 +17,8 @@ sharp('rgba.png')
 
 
 ## ensureAlpha
+> ensureAlpha([alpha]) ⇒ <code>Sharp</code>
+
 Ensure the output image has an alpha transparency channel.
 If missing, the added alpha channel will have the specified
 transparency level, defaulting to fully-opaque (1).
@@ -48,6 +52,8 @@ const rgba = await sharp(rgb)
 
 
 ## extractChannel
+> extractChannel(channel) ⇒ <code>Sharp</code>
+
 Extract a single channel from a multi-channel image.
 
 
@@ -78,6 +84,8 @@ const [red1, red2, ...] = await sharp(input)
 
 
 ## joinChannel
+> joinChannel(images, options) ⇒ <code>Sharp</code>
+
 Join one or more channels to the image.
 The meaning of the added channels depends on the output colourspace, set with `toColourspace()`.
 By default the output image will be web-friendly sRGB, with additional channels interpreted as alpha channels.
@@ -102,6 +110,8 @@ For raw pixel input, the `options` object should contain a `raw` attribute, whic
 
 
 ## bandbool
+> bandbool(boolOp) ⇒ <code>Sharp</code>
+
 Perform a bitwise boolean operation on all input image channels (bands) to produce a single channel output image.
 
 

docs/api-colour.md

@@ -1,4 +1,6 @@
 ## tint
+> tint(rgb) ⇒ <code>Sharp</code>
+
 Tint the image using the provided chroma while preserving the image luminance.
 An alpha channel may be present and will be unchanged by the operation.
 
@@ -21,6 +23,8 @@ const output = await sharp(input)
 
 
 ## greyscale
+> greyscale([greyscale]) ⇒ <code>Sharp</code>
+
 Convert to 8-bit greyscale; 256 shades of grey.
 This is a linear operation. If the input image is in a non-linear colour space such as sRGB, use `gamma()` with `greyscale()` for the best results.
 By default the output image will be web-friendly sRGB and contain three (identical) color channels.
@@ -41,6 +45,8 @@ const output = await sharp(input).greyscale().toBuffer();
 
 
 ## grayscale
+> grayscale([grayscale]) ⇒ <code>Sharp</code>
+
 Alternative spelling of `greyscale`.
 
 
@@ -52,6 +58,8 @@ Alternative spelling of `greyscale`.
 
 
 ## pipelineColourspace
+> pipelineColourspace([colourspace]) ⇒ <code>Sharp</code>
+
 Set the pipeline colourspace.
 
 The input image will be converted to the provided colourspace at the start of the pipeline.
@@ -82,6 +90,8 @@ await sharp(input)
 
 
 ## pipelineColorspace
+> pipelineColorspace([colorspace]) ⇒ <code>Sharp</code>
+
 Alternative spelling of `pipelineColourspace`.
 
 
@@ -97,6 +107,8 @@ Alternative spelling of `pipelineColourspace`.
 
 
 ## toColourspace
+> toColourspace([colourspace]) ⇒ <code>Sharp</code>
+
 Set the output colourspace.
 By default output image will be web-friendly sRGB, with additional channels interpreted as alpha channels.
 
@@ -120,6 +132,8 @@ await sharp(input)
 
 
 ## toColorspace
+> toColorspace([colorspace]) ⇒ <code>Sharp</code>
+
 Alternative spelling of `toColourspace`.
 
 

docs/api-composite.md

@@ -1,4 +1,6 @@
 ## composite
+> composite(images) ⇒ <code>Sharp</code>
+
 Composite image(s) over the processed (resized, extracted etc.) image.
 
 The images to composite must be the same size or smaller than the processed image.

docs/api-constructor.md

@@ -1,9 +1,13 @@
 ## Sharp
+> Sharp
+
 
 **Emits**: <code>Sharp#event:info</code>, <code>Sharp#event:warning</code>  
 <a name="new_Sharp_new"></a>
 
 ### new
+> new Sharp([input], [options])
+
 Constructor factory to create an instance of `sharp`, to which further methods are chained.
 
 JPEG, PNG, WebP, GIF, AVIF or TIFF format image data can be streamed out from this object.
@@ -159,6 +163,8 @@ await sharp({
 
 
 ## clone
+> clone() ⇒ [<code>Sharp</code>](#Sharp)
+
 Take a "snapshot" of the Sharp instance, returning a new instance.
 Cloned instances inherit the input of their parent instance.
 This allows multiple output Streams and therefore multiple processing pipelines to share a single input Stream.

docs/api-input.md

@@ -1,4 +1,6 @@
 ## metadata
+> metadata([callback]) ⇒ <code>Promise.&lt;Object&gt;</code> \| <code>Sharp</code>
+
 Fast access to (uncached) image metadata without decoding any compressed pixel data.
 
 This is read from the header of the input image.
@@ -81,6 +83,8 @@ function getNormalSize({ width, height, orientation }) {
 
 
 ## stats
+> stats([callback]) ⇒ <code>Promise.&lt;Object&gt;</code>
+
 Access to pixel-derived image statistics for every channel in the image.
 A `Promise` is returned when `callback` is not provided.
 

docs/api-operation.md

@@ -1,4 +1,6 @@
 ## rotate
+> rotate([angle], [options]) ⇒ <code>Sharp</code>
+
 Rotate the output image by either an explicit angle
 or auto-orient based on the EXIF `Orientation` tag.
 
@@ -57,6 +59,8 @@ const resizeThenRotate = await sharp(input)
 
 
 ## flip
+> flip([flip]) ⇒ <code>Sharp</code>
+
 Mirror the image vertically (up-down) about the x-axis.
 This always occurs before rotation, if any.
 
@@ -75,6 +79,8 @@ const output = await sharp(input).flip().toBuffer();
 
 
 ## flop
+> flop([flop]) ⇒ <code>Sharp</code>
+
 Mirror the image horizontally (left-right) about the y-axis.
 This always occurs before rotation, if any.
 
@@ -91,6 +97,8 @@ const output = await sharp(input).flop().toBuffer();
 
 
 ## affine
+> affine(matrix, [options]) ⇒ <code>Sharp</code>
+
 Perform an affine transform on an image. This operation will always occur after resizing, extraction and rotation, if any.
 
 You must provide an array of length 4 or a 2x2 affine transformation matrix.
@@ -142,6 +150,8 @@ inputStream
 
 
 ## sharpen
+> sharpen([options], [flat], [jagged]) ⇒ <code>Sharp</code>
+
 Sharpen the image.
 
 When used without parameters, performs a fast, mild sharpen of the output image.
@@ -193,6 +203,8 @@ const data = await sharp(input)
 
 
 ## median
+> median([size]) ⇒ <code>Sharp</code>
+
 Apply median filter.
 When used without parameters the default window is 3x3.
 
@@ -217,6 +229,8 @@ const output = await sharp(input).median(5).toBuffer();
 
 
 ## blur
+> blur([sigma]) ⇒ <code>Sharp</code>
+
 Blur the image.
 
 When used without parameters, performs a fast 3x3 box blur (equivalent to a box linear filter).
@@ -248,6 +262,8 @@ const gaussianBlurred = await sharp(input)
 
 
 ## flatten
+> flatten([options]) ⇒ <code>Sharp</code>
+
 Merge alpha transparency channel, if any, with a background, then remove the alpha channel.
 
 See also [removeAlpha](/api-channel#removealpha).
@@ -268,6 +284,8 @@ await sharp(rgbaInput)
 
 
 ## unflatten
+> unflatten()
+
 Ensure the image has an alpha channel
 with all white pixel values made fully transparent.
 
@@ -293,6 +311,8 @@ await sharp(rgbInput)
 
 
 ## gamma
+> gamma([gamma], [gammaOut]) ⇒ <code>Sharp</code>
+
 Apply a gamma correction by reducing the encoding (darken) pre-resize at a factor of `1/gamma`
 then increasing the encoding (brighten) post-resize at a factor of `gamma`.
 This can improve the perceived brightness of a resized image in non-linear colour spaces.
@@ -315,6 +335,8 @@ Supply a second argument to use a different output gamma value, otherwise the fi
 
 
 ## negate
+> negate([options]) ⇒ <code>Sharp</code>
+
 Produce the "negative" of the image.
 
 
@@ -339,6 +361,8 @@ const output = await sharp(input)
 
 
 ## normalise
+> normalise([options]) ⇒ <code>Sharp</code>
+
 Enhance output image contrast by stretching its luminance to cover a full dynamic range.
 
 Uses a histogram-based approach, taking a default range of 1% to 99% to reduce sensitivity to noise at the extremes.
@@ -369,6 +393,8 @@ const output = await sharp(input)
 
 
 ## normalize
+> normalize([options]) ⇒ <code>Sharp</code>
+
 Alternative spelling of normalise.
 
 
@@ -388,6 +414,8 @@ const output = await sharp(input)
 
 
 ## clahe
+> clahe(options) ⇒ <code>Sharp</code>
+
 Perform contrast limiting adaptive histogram equalization
 [CLAHE](https://en.wikipedia.org/wiki/Adaptive_histogram_equalization#Contrast_Limited_AHE).
 
@@ -419,6 +447,8 @@ const output = await sharp(input)
 
 
 ## convolve
+> convolve(kernel) ⇒ <code>Sharp</code>
+
 Convolve the image with the specified kernel.
 
 
@@ -453,6 +483,8 @@ sharp(input)
 
 
 ## threshold
+> threshold([threshold], [options]) ⇒ <code>Sharp</code>
+
 Any pixel value greater than or equal to the threshold value will be set to 255, otherwise it will be set to 0.
 
 
@@ -471,6 +503,8 @@ Any pixel value greater than or equal to the threshold value will be set to 255,
 
 
 ## boolean
+> boolean(operand, operator, [options]) ⇒ <code>Sharp</code>
+
 Perform a bitwise boolean operation with operand image.
 
 This operation creates an output image where each pixel is the result of
@@ -495,6 +529,8 @@ the selected bitwise boolean `operation` between the corresponding pixels of the
 
 
 ## linear
+> linear([a], [b]) ⇒ <code>Sharp</code>
+
 Apply the linear formula `a` * input + `b` to the image to adjust image levels.
 
 When a single number is provided, it will be used for all image channels.
@@ -529,6 +565,8 @@ await sharp(rgbInput)
 
 
 ## recomb
+> recomb(inputMatrix) ⇒ <code>Sharp</code>
+
 Recombine the image with the specified matrix.
 
 
@@ -559,6 +597,8 @@ sharp(input)
 
 
 ## modulate
+> modulate([options]) ⇒ <code>Sharp</code>
+
 Transforms the image using brightness, saturation, hue rotation, and lightness.
 Brightness and lightness both operate on luminance, with the difference being that
 brightness is multiplicative whereas lightness is additive.