10000 Transform error messages · stdlib-js/ndarray-array@cc15339 · GitHub
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Transform error messages
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+17
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‎lib/main.js

+16-16
Original file line numberDiff line numberDiff line change
@@ -46,7 +46,7 @@ var getOrder = require( '@stdlib/ndarray-order' );
4646
var getData = require( '@stdlib/ndarray-data-buffer' );
4747
var arrayShape = require( '@stdlib/array-shape' );
4848
var flatten = require( '@stdlib/array-base-flatten' );
49-
var format = require( '@stdlib/string-format' );
49+
var format = require( '@stdlib/error-tools-fmtprodmsg' );
5050
var isArrayLikeObject = require( './is_array_like_object.js' );
5151
var getDefaults = require( './defaults.js' );
5252
var castBuffer = require( './cast_buffer.js' );
@@ -141,23 +141,23 @@ function array() {
141141
} else {
142142
options = arguments[ 0 ];
143143
if ( !isObject( options ) ) {
144-
throw new TypeError( format( 'invalid argument. Must provide either a valid data source, options argument, or both. Value: `%s`.', options ) );
144+
throw new TypeError( format( '0hT56', options ) );
145145
}
146146
if ( hasOwnProp( options, 'buffer' ) ) {
147147
buffer = options.buffer;
148148
if ( !isArrayLikeObject( buffer ) ) { // weak test
149-
throw new TypeError( format( 'invalid option. `%s` option must be an array-like object, typed-array-like, a Buffer, or an ndarray. Option: `%s`.', 'buffer', buffer ) );
149+
throw new TypeError( format( '0hT57', 'buffer', buffer ) );
150150
}
151151
}
152152
}
153153
} else {
154154
buffer = arguments[ 0 ];
155155
if ( !isArrayLikeObject( buffer ) ) { // weak test
156-
throw new TypeError( format( 'invalid option. Data source must be an array-like object, typed-array-like, a Buffer, or an ndarray. Value: `%s`.', buffer ) );
156+
throw new TypeError( format( '0hT58', buffer ) );
157157
}
158158
options = arguments[ 1 ];
159159
if ( !isObject( options ) ) {
160-
throw new TypeError( format( 'invalid argument. Options argument must be an object. Value: `%s`.', options ) );
160+
throw new TypeError( format( '0hT2V', options ) );
161161
}
162162
// Note: we ignore whether `options` has a `buffer` property
163163
}
@@ -177,23 +177,23 @@ function array() {
177177
if ( hasOwnProp( options, 'casting' ) ) {
178178
opts.casting = options.casting;
179179
if ( !isCastingMode( opts.casting ) ) {
180-
throw new TypeError( format( 'invalid option. `%s` option must be a recognized casting mode. Option: `%s`.', 'casting', opts.casting ) );
180+
throw new TypeError( format( '0hT59', 'casting', opts.casting ) );
181181
}
182182
} else {
183183
opts.casting = defaults.casting;
184184
}
185185
if ( hasOwnProp( options, 'flatten' ) ) {
186186
opts.flatten = options.flatten;
187187
if ( !isBoolean( opts.flatten ) ) {
188-
throw new TypeError( format( 'invalid option. `%s` option must be a boolean. Option: `%s`.', 'flatten', opts.flatten ) );
188+
throw new TypeError( format( '0hT2o', 'flatten', opts.flatten ) );
189189
}
190190
} else {
191191
opts.flatten = defaults.flatten;
192192
}
193193
if ( hasOwnProp( options, 'ndmin' ) ) {
194194
opts.ndmin = options.ndmin;
195195
if ( !isNonNegativeInteger( opts.ndmin ) ) {
196-
throw new TypeError( format( 'invalid option. `%s` option must be a nonnegative integer. Option: `%s`.', 'ndmin', opts.ndmin ) );
196+
throw new TypeError( format( '0hT2t', 'ndmin', opts.ndmin ) );
197197
}
198198
// TODO: validate that minimum number of dimensions does not exceed the maximum number of possible dimensions (in theory, infinite; in practice, determined by max array length; see https://github.com/stdlib-js/stdlib/blob/ac350059877c036640775d6b30d0e98e840d07cf/lib/node_modules/%40stdlib/ndarray/ctor/lib/main.js#L57)
199199
} else {
@@ -204,10 +204,10 @@ function array() {
204204
if ( hasOwnProp( options, 'dtype' ) ) {
205205
dtype = options.dtype;
206206
if ( !isDataType( dtype ) ) {
207-
throw new TypeError( format( 'invalid option. `%s` option must be a recognized data type. Option: `%s`.', 'dtype', dtype ) );
207+
throw new TypeError( format( '0hTBf', 'dtype', dtype ) );
208208
}
209209
if ( btype && !isAllowedCast( btype, dtype, opts.casting ) ) {
210-
throw new Error( format( 'invalid option. Data type cast is not allowed. Casting mode: `%s`. From: `%s`. To: `%s`.', opts.casting, btype, dtype ) );
210+
throw new Error( format( '0hT5B', opts.casting, btype, dtype ) );
211211
}
212212
} else if ( btype ) { // btype !== void 0
213213
// TODO: reconcile difference in behavior when provided a generic array and no `dtype` option. Currently, we cast here, but do not allow casting a generic array (by default) when explicitly providing a `dtype` option.
@@ -245,7 +245,7 @@ function array() {
245245
order = defaults.order;
246246
}
247247
} else if ( !isOrder( order ) ) {
248-
throw new TypeError( format( 'invalid option. `%s` option must be a recognized order. Option: `%s`.', 'order', order ) );
248+
throw new TypeError( format( '0hT5C', 'order', order ) );
249249
}
250250
} else {
251251
order = defaults.order;
@@ -268,7 +268,7 @@ function array() {
268268
if ( hasOwnProp( options, 'copy' ) ) {
269269
opts.copy = options.copy;
270270
if ( !isBoolean( opts.copy ) ) {
271-
throw new TypeError( format( 'invalid option. `%s` option must be a boolean. Option: `%s`.', 'copy', opts.copy ) );
271+
throw new TypeError( format( '0hT2o', 'copy', opts.copy ) );
272272
}
273273
} else {
274274
opts.copy = defaults.copy;
@@ -277,7 +277,7 @@ function array() {
277277
if ( hasOwnProp( options, 'shape' ) ) {
278278
shape = options.shape;
279279
if ( !isArrayLikeObject( shape ) ) { // weak test
280-
throw new TypeError( format( 'invalid option. `%s` option must be an array-like object containing nonnegative integers. Option: `%s`.', 'shape', shape ) );
280+
throw new TypeError( format( '0hT5D', 'shape', shape ) );
281281
}
282282
ndims = shape.length;
283283
len = numel( shape );
@@ -297,7 +297,7 @@ function array() {
297297
shape = [ len ]; // assume a 1-dimensional array (vector)
298298
}
299299
} else {
300-
throw new Error( 'invalid arguments. Must provide either a data source, array shape, or both.' );
300+
throw new Error( format('0hT0X') );
301301
}
302302
// Adjust the array shape to satisfy the minimum number of dimensions...
303303
if ( ndims < opts.ndmin ) {
@@ -307,7 +307,7 @@ function array() {
307307
// If not provided a data buffer, create it; otherwise, see if we need to cast a provided data buffer to another data type or perform a copy...
308308
if ( FLG ) {
309309
if ( numel( buffer.shape ) !== len ) {
310-
throw new RangeError( 'invalid arguments. Array shape is incompatible with provided data source. Number of data source elements does not match array shape.' );
310+
throw new RangeError( format('0hT0Y') );
311311
}
312312
if ( btype !== dtype || opts.copy ) {
313313
buffer = copyView( buffer, dtype );
@@ -325,7 +325,7 @@ function array() {
325325
buffer = flatten( buffer, osh || arrayShape( buffer ), isColumnMajor( order ) );
326326
}
327327
if ( buffer.length !== len ) {
328-
throw new RangeError( 'invalid arguments. Array shape is incompatible with provided data source. Number of data source elements does not match array shape.' );
328+
throw new RangeError( format('0hT0Y') );
329329
}
330330
if ( btype !== dtype || opts.copy ) {
331331
buffer = castBuffer( buffer, len, dtype );

‎package.json

+1-1
Original file line numberDiff line numberDiff line change
@@ -74,7 +74,7 @@
7474
"@stdlib/ndarray-order": "^0.2.2",
7575
"@stdlib/ndarray-shape": "^0.2.2",
7676
"@stdlib/ndarray-strides": "^0.2.2",
77-
"@stdlib/string-format": "^0.2.2",
77+
"@stdlib/error-tools-fmtprodmsg": "^0.2.2",
7878
"@stdlib/types": "^0.4.3",
7979
"@stdlib/error-tools-fmtprodmsg": "^0.2.2"
8080
},

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