Auto-generated commit

code-blocks/data/data.csv

@@ -3668,6 +3668,7 @@ ndarray.prototype.toString,"var b = [ 1, 2, 3, 4 ];\nvar d = [ 2, 2 ];\nvar s =
 ndarray.prototype.toJSON,"var b = [ 1, 2, 3, 4 ];\nvar d = [ 2, 2 ];\nvar s = [ 2, 1 ];\nvar o = 0;\nvar arr = ndarray( 'generic', b, d, s, o, 'row-major' );\narr.toJSON()\n"
 ndarray2array,"var arr = array( [ [ 1, 2 ], [ 3, 4 ] ] );\nvar out = ndarray2array( arr )\n"
 ndarrayCastingModes,"var out = ndarrayCastingModes()\n"
+ndarrayDataType,"var opts = { 'dtype': 'float64' };\nvar dt = ndarrayDataType( ndzeros( [ 3, 3, 3 ], opts ) )\n"
 ndarrayDataTypes,"var out = ndarrayDataTypes()\nout = ndarrayDataTypes( 'floating_point' )\n"
 ndarrayDispatch,"var t = [ 'float64', 'float64', 'float32', 'float32' ];\nvar d = [ base.abs, base.absf ];\nvar f = ndarrayDispatch( base.ndarrayUnary, t, d, 2, 1, 1 );\nvar xbuf = new Float64Array( [ -1.0, -2.0, -3.0, -4.0 ] );\nvar x = ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );\nvar ybuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );\nvar y = ndarray( 'float64', ybuf, [ 4 ], [ 1 ], 0, 'row-major' );\nf( x, y );\nybuf\n"
 ndarrayIndexModes,"var out = ndarrayIndexModes()\n"
@@ -3685,11 +3686,8 @@ nditerEntries,"var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );\nvar it = nditerEntries(
 nditerIndices,"var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );\nvar it = nditerIndices( x.shape );\nvar v = it.next().value\nv = it.next().value\n"
 nditerRows,"var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );\nvar it = nditerRows( x );\nvar v = it.next().value;\nndarray2array( v )\nv = it.next().value;\nndarray2array( v )\n"
 nditerValues,"var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );\nvar it = nditerValues( x );\nvar v = it.next().value\nv = it.next().value\n"
-ndoffset,"var n = ndoffset( ndzeros( [ 3, 3, 3 ] ) )\n"
-ndshape,"var out = ndshape( ndzeros( [ 3, 3, 3 ] ) )\n"
 ndslice,"var x = array( [ [ 1, 2 ], [ 3, 4 ] ] )\nx.shape\nvar s = new MultiSlice( null, 1 )\nvar y = ndslice( x, s )\ny.shape\nndarray2array( y )\n"
 ndsliceAssign,"var y = ndzeros( [ 2, 2 ] )\nvar x = scalar2ndarray( 3.0 )\nvar s = new MultiSlice( null, 1 )\nvar out = ndsliceAssign( x, y, s )\nvar bool = ( out === y )\nndarray2array( y )\n"
-ndstrides,"var out = ndstrides( ndzeros( [ 3, 3, 3 ] ) )\n"
 ndzeros,"var arr = ndzeros( [ 2, 2 ] )\nvar sh = arr.shape\nvar dt = arr.dtype\n"
 ndzerosLike,"var x = base.ndzeros( 'float64', [ 2, 2 ], 'row-major' )\nvar sh = x.shape\nvar dt = x.dtype\nvar y = ndzerosLike( x )\nsh = y.shape\ndt = y.dtype\n"
 nextGraphemeClusterBreak,"var out = nextGraphemeClusterBreak( 'last man standing', 4 )\nout = nextGraphemeClusterBreak( 'presidential election', 8 )\nout = nextGraphemeClusterBreak( 'अनुच्छेद', 1 )\nout = nextGraphemeClusterBreak( '🌷' )\n"

info/data/data.csv

@@ -3668,6 +3668,7 @@ ndarray.prototype.toString,"\nndarray.prototype.toString()\n    Serializes an nd
 ndarray.prototype.toJSON,"\nndarray.prototype.toJSON()\n    Serializes an ndarray as a JSON object.\n"
 ndarray2array,"\nndarray2array( arr:ndarray )\n    Converts an ndarray to a generic array.\n"
 ndarrayCastingModes,"\nndarrayCastingModes()\n    Returns a list of ndarray casting modes.\n"
+ndarrayDataType,"\nndarrayDataType( x:ndarray )\n    Returns the data type of a provided ndarray.\n"
 ndarrayDataTypes,"\nndarrayDataTypes( [kind:string] )\n    Returns a list of ndarray data types.\n"
 ndarrayDispatch,"\nndarrayDispatch( fcns:Function|ArrayLikeObject<Function>, \n  types:ArrayLikeObject, data:ArrayLikeObject|null, nargs:integer, nin:integer, \n  nout:integer )\n    Returns an ndarray function interface which performs multiple dispatch.\n"
 ndarrayIndexModes,"\nndarrayIndexModes()\n    Returns a list of ndarray index modes.\n"
@@ -3685,11 +3686,8 @@ nditerEntries,"\nnditerEntries( x:ndarray[, options:Object] )\n    Returns an it
 nditerIndices,"\nnditerIndices( shape:Array<integer>[, options:Object] )\n    Returns an iterator which returns indices for use indexing into an ndarray\n    having a specified shape.\n"
 nditerRows,"\nnditerRows( x:ndarray[, options:Object] )\n    Returns an iterator which iterates over each row in a matrix (or stack of\n    matrices).\n"
 nditerValues,"\nnditerValues( x:ndarray[, options:Object] )\n    Returns an iterator which returns individual elements from a provided\n    ndarray.\n"
-ndoffset,"\nndoffset( x:ndarray )\n    Returns the index offset specifying the underlying buffer index of the first\n    iterated ndarray element.\n"
-ndshape,"\nndshape( x:ndarray )\n    Returns the shape of a provided ndarray.\n"
 ndslice,"\nndslice( x:ndarray, ...s:MultiSlice|Slice|null|undefined|integer|ArrayLike[, \n  options:Object] )\n    Returns a read-only view of an input ndarray.\n"
 ndsliceAssign,"\nndsliceAssign( x:ndarray, y:ndarray, \n  ...s:MultiSlice|Slice|null|undefined|integer|ArrayLike[, options:Object] )\n    Assigns element values from a broadcasted input ndarray to corresponding\n    elements in an output ndarray view.\n"
-ndstrides,"\nndstrides( x:ndarray )\n    Returns the strides of a provided ndarray.\n"
 ndzeros,"\nndzeros( shape:ArrayLikeObject<integer>|integer[, options:Object] )\n    Returns a zero-filled ndarray having a specified shape and data type.\n"
 ndzerosLike,"\nndzerosLike( x:ndarray[, options:Object] )\n    Returns a zero-filled ndarray having the same shape and data type as a\n    provided input ndarray.\n"
 nextGraphemeClusterBreak,"\nnextGraphemeClusterBreak( str:string[, fromIndex:integer] )\n    Returns the next extended grapheme cluster break in a string after a\n    specified position.\n"

signature/data/data.csv

@@ -3705,6 +3705,7 @@ ndarray.prototype.toString,"ndarray.prototype.toString()"
 ndarray.prototype.toJSON,"ndarray.prototype.toJSON()"
 ndarray2array,"ndarray2array( arr )"
 ndarrayCastingModes,"ndarrayCastingModes()"
+ndarrayDataType,"ndarrayDataType( x )"
 ndarrayDataTypes,"ndarrayDataTypes( [kind] )"
 ndarrayDispatch,"ndarrayDispatch( fcns, types, data, nargs, nin, nout )"
 ndarrayIndexModes,"ndarrayIndexModes()"
@@ -3722,11 +3723,8 @@ nditerEntries,"nditerEntries( x[, options] )"
 nditerIndices,"nditerIndices( shape[, options] )"
 nditerRows,"nditerRows( x[, options] )"
 nditerValues,"nditerValues( x[, options] )"
-ndoffset,"ndoffset( x )"
-ndshape,"ndshape( x )"
 ndslice,"ndslice( x, ...s[, options] )"
 ndsliceAssign,"ndsliceAssign( x, y, ...s[, options] )"
-ndstrides,"ndstrides( x )"
 ndzeros,"ndzeros( shape[, options] )"
 ndzerosLike,"ndzerosLike( x[, options] )"
 nextGraphemeClusterBreak,"nextGraphemeClusterBreak( str[, fromIndex] )"

typed-signature/data/data.csv

@@ -3705,6 +3705,7 @@ ndarray.prototype.toString,"ndarray.prototype.toString()"
 ndarray.prototype.toJSON,"ndarray.prototype.toJSON()"
 ndarray2array,"ndarray2array( arr:ndarray )"
 ndarrayCastingModes,"ndarrayCastingModes()"
+ndarrayDataType,"ndarrayDataType( x:ndarray )"
 ndarrayDataTypes,"ndarrayDataTypes( [kind:string] )"
 ndarrayDispatch,"ndarrayDispatch( fcns:Function|ArrayLikeObject<Function>, types:ArrayLikeObject, data:ArrayLikeObject|null, nargs:integer, nin:integer, nout:integer )"
 ndarrayIndexModes,"ndarrayIndexModes()"
@@ -3722,11 +3723,8 @@ nditerEntries,"nditerEntries( x:ndarray[, options:Object] )"
 nditerIndices,"nditerIndices( shape:Array<integer>[, options:Object] )"
 nditerRows,"nditerRows( x:ndarray[, options:Object] )"
 nditerValues,"nditerValues( x:ndarray[, options:Object] )"
-ndoffset,"ndoffset( x:ndarray )"
-ndshape,"ndshape( x:ndarray )"
 ndslice,"ndslice( x:ndarray, ...s:MultiSlice|Slice|null|undefined|integer|ArrayLike[, options:Object] )"
 ndsliceAssign,"ndsliceAssign( x:ndarray, y:ndarray, ...s:MultiSlice|Slice|null|undefined|integer|ArrayLike[, options:Object] )"
-ndstrides,"ndstrides( x:ndarray )"
 ndzeros,"ndzeros( shape:ArrayLikeObject<integer>|integer[, options:Object] )"
 ndzerosLike,"ndzerosLike( x:ndarray[, options:Object] )"
 nextGraphemeClusterBreak,"nextGraphemeClusterBreak( str:string[, fromIndex:integer] )"