Merge remote-tracking branch 'upstream/develop' into stats-array-nanmin

Author: stdlib-bot

lib/node_modules/@stdlib/_tools/static-analysis/js/program-summary/lib/statements.json

@@ -1,17 +1,17 @@
 [
-	"BreakStatement",
-	"ContinueStatement",
-	"DoWhileStatement",
-	"ExpressionStatement",
-	"ForStatement",
-	"ForInStatement",
-	"ForOfStatement",
-	"FunctionDeclaration",
-	"IfStatement",
-	"ReturnStatement",
-	"SwitchStatement",
-	"ThrowStatement",
-	"TryStatement",
-	"VariableDeclaration",
-	"WhileStatement"
+  "BreakStatement",
+  "ContinueStatement",
+  "DoWhileStatement",
+  "ExpressionStatement",
+  "ForStatement",
+  "ForInStatement",
+  "ForOfStatement",
+  "FunctionDeclaration",
+  "IfStatement",
+  "ReturnStatement",
+  "SwitchStatement",
+  "ThrowStatement",
+  "TryStatement",
+  "VariableDeclaration",
+  "WhileStatement"
 ]

lib/node_modules/@stdlib/error/tools/database/data/data.csv

@@ -1130,3 +1130,6 @@
 "ID","invalid argument. Second argument must be either an ndarray or a numeric scalar value. Value: `%s`.","TypeError"
 "IE","invalid argument. Eleventh argument must be non-zero. Value: `%d`.","RangeError"
 "IF","invalid option. `%s` option must be a valid memory layout. Option: `%s`.","TypeError"
+"IG","invalid arguments. Arrays must have the same number of dimensions (i.e., same rank). ndims(x) == %d. ndims(y) == %d. ndims(z) == %d.","Error"
+"IH","invalid argument. Unable to resolve an output data type. The output data type policy is ""same"" and yet the input data types are not equal. Data types: [%s].","Error"
+"II","invalid argument. Unable to apply type promotion rules when resolving a data type to which the input data types can be safely cast. Data types: [%s].","Error"

lib/node_modules/@stdlib/error/tools/database/data/data.json

@@ -212,6 +212,14 @@
 "1oP",@stdlib/array-base-any
 "000",@stdlib/array/base/arraylike2object
 "001",@stdlib/array-base-arraylike2object
+"2Ga",@stdlib/array/base/assert/any-has-own-property
+"2Gb",@stdlib/array-base-assert-any-has-own-property
+"2Gc",@stdlib/array/base/assert/any-has-property
+"2Gd",@stdlib/array-base-assert-any-has-property
+"2Ge",@stdlib/array/base/assert/any-is-entry-in
+"2Gf",@stdlib/array-base-assert-any-is-entry-in
+"2Gg",@stdlib/array/base/assert/any-is-entry
+"2Gh",@stdlib/array-base-assert-any-is-entry
 "1Yq",@stdlib/array/base/assert/contains
 "1Yr",@stdlib/array-base-assert-contains
 "1zi",@stdlib/array/base/assert/has-equal-values-indexed
@@ -4355,8 +4363,12 @@
 "1kH",@stdlib/ndarray-base-assign
 "1cy",@stdlib/ndarray/base/binary-loop-interchange-order
 "1cz",@stdlib/ndarray-base-binary-loop-interchange-order
+"2Gi",@stdlib/ndarray/base/binary-output-dtype
+"2Gj",@stdlib/ndarray-base-binary-output-dtype
 "1d0",@stdlib/ndarray/base/binary-tiling-block-size
 "1d1",@stdlib/ndarray-base-binary-tiling-block-size
+"2Gk",@stdlib/ndarray/base/binary
+"2Gl",@stdlib/ndarray-base-binary
 "0i2",@stdlib/ndarray/base/bind2vind
 "0i3",@stdlib/ndarray-base-bind2vind
 "0i4",@stdlib/ndarray/base/broadcast-array
@@ -4495,6 +4507,8 @@
 "1jh",@stdlib/ndarray-base-offset
 "1kM",@stdlib/ndarray/base/order
 "1kN",@stdlib/ndarray-base-order
+"2Gm",@stdlib/ndarray/base/output-dtype
+"2Gn",@stdlib/ndarray-base-output-dtype
 "1dE",@stdlib/ndarray/base/output-policy-enum2str
 "1dF",@stdlib/ndarray-base-output-policy-enum2str
 "1dG",@stdlib/ndarray/base/output-policy-resolve-enum
@@ -4507,6 +4521,8 @@
 "0jH",@stdlib/ndarray-base
 "0jI",@stdlib/ndarray/base/prepend-singleton-dimensions
 "0jJ",@stdlib/ndarray-base-prepend-singleton-dimensions
+"2Go",@stdlib/ndarray/base/promote-dtypes
+"2Gp",@stdlib/ndarray-base-promote-dtypes
 "0jK",@stdlib/ndarray/base/remove-singleton-dimensions
 "0jL",@stdlib/ndarray-base-remove-singleton-dimensions
 "1lA",@stdlib/ndarray/base/reverse-dimension
@@ -5563,8 +5579,14 @@
 "2GT",@stdlib/stats-array-maxsorted
 "2Ew",@stdlib/stats/array/min
 "2Ex",@stdlib/stats-array-min
+"2Gq",@stdlib/stats/array/minabs
+"2Gr",@stdlib/stats-array-minabs
+"2Gs",@stdlib/stats/array/minsorted
+"2Gt",@stdlib/stats-array-minsorted
 "2Ea",@stdlib/stats/array/mskmax
 "2Eb",@stdlib/stats-array-mskmax
+"2Gu",@stdlib/stats/array/mskmin
+"2Gv",@stdlib/stats-array-mskmin
 "2Ec",@stdlib/stats/array/nanmax
 "2Ed",@stdlib/stats-array-nanmax
 "2Ee",@stdlib/stats/array/varianceyc

lib/node_modules/@stdlib/error/tools/id2pkg/data/data.csv

@@ -8667,3 +8667,25 @@
 "@stdlib/stats-incr-nanmstdev",2GX
 "@stdlib/stats/strided/wasm/dmeanors",2GY
 "@stdlib/stats-strided-wasm-dmeanors",2GZ
+"@stdlib/array/base/assert/any-has-own-property",2Ga
+"@stdlib/array-base-assert-any-has-own-property",2Gb
+"@stdlib/array/base/assert/any-has-property",2Gc
+"@stdlib/array-base-assert-any-has-property",2Gd
+"@stdlib/array/base/assert/any-is-entry-in",2Ge
+"@stdlib/array-base-assert-any-is-entry-in",2Gf
+"@stdlib/array/base/assert/any-is-entry",2Gg
+"@stdlib/array-base-assert-any-is-entry",2Gh
+"@stdlib/ndarray/base/binary-output-dtype",2Gi
+"@stdlib/ndarray-base-binary-output-dtype",2Gj
+"@stdlib/ndarray/base/binary",2Gk
+"@stdlib/ndarray-base-binary",2Gl
+"@stdlib/ndarray/base/output-dtype",2Gm
+"@stdlib/ndarray-base-output-dtype",2Gn
+"@stdlib/ndarray/base/promote-dtypes",2Go
+"@stdlib/ndarray-base-promote-dtypes",2Gp
+"@stdlib/stats/array/minabs",2Gq
+"@stdlib/stats-array-minabs",2Gr
+"@stdlib/stats/array/minsorted",2Gs
+"@stdlib/stats-array-minsorted",2Gt
+"@stdlib/stats/array/mskmin",2Gu
+"@stdlib/stats-array-mskmin",2Gv

lib/node_modules/@stdlib/error/tools/id2pkg/data/data.json

@@ -83,7 +83,7 @@ In addition, the namespace contains the following multidimensional array utility
 -   <span class="signature">[`emptyLike( x[, options] )`][@stdlib/ndarray/empty-like]</span><span class="delimiter">: </span><span class="description">create an uninitialized ndarray having the same shape and data type as a provided ndarray.</span>
 -   <span class="signature">[`empty( shape[, options] )`][@stdlib/ndarray/empty]</span><span class="delimiter">: </span><span class="description">create an uninitialized ndarray having a specified shape and data type.</span>
 -   <span class="signature">[`FancyArray( dtype, buffer, shape, strides, offset, order[, options] )`][@stdlib/ndarray/fancy]</span><span class="delimiter">: </span><span class="description">fancy multidimensional array constructor.</span>
--   <span class="signature">[`fillBy( x, fcn[, thisArg] )`][@stdlib/ndarray/fill-by]</span><span class="delimiter">: </span><span class="description">fill an input `ndarray` according to a callback function.</span>
+-   <span class="signature">[`fillBy( x, fcn[, thisArg] )`][@stdlib/ndarray/fill-by]</span><span class="delimiter">: </span><span class="description">fill an input ndarray according to a callback function.</span>
 -   <span class="signature">[`fill( x, value )`][@stdlib/ndarray/fill]</span><span class="delimiter">: </span><span class="description">fill an input `ndarray` with a specified value.</span>
 -   <span class="signature">[`filterMap( x[, options], fcn[, thisArg] )`][@stdlib/ndarray/filter-map]</span><span class="delimiter">: </span><span class="description">filter and map elements in an input ndarray to elements in a new output ndarray according to a callback function.</span>
 -   <span class="signature">[`filter( x[, options], predicate[, thisArg] )`][@stdlib/ndarray/filter]</span><span class="delimiter">: </span><span class="description">return a shallow copy of an ndarray containing only those elements which pass a test implemented by a predicate function.</span>