deeplearning4j/deeplearning4j-ui-parent/deeplearning4j-ui-components/src/main/typescript/org/deeplearning4j/ui/util/TSUtils.ts
/*
* ******************************************************************************
* *
* *
* * This program and the accompanying materials are made available under the
* * terms of the Apache License, Version 2.0 which is available at
* * https://www.apache.org/licenses/LICENSE-2.0.
* *
* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
* * Unless required by applicable law or agreed to in writing, software
* * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* * License for the specific language governing permissions and limitations
* * under the License.
* *
* * SPDX-License-Identifier: Apache-2.0
* *****************************************************************************
*/
class TSUtils {
//Get the maximum value
static max(input: number[][]): number {
var max: number = -Number.MAX_VALUE;
for (var i = 0; i < input.length; i++) {
for( var j=0; j<input[i].length; j++ ){
max = Math.max(max,input[i][j]);
}
}
return max;
}
//Get the minimum value
static min(input: number[][]): number {
var min: number = Number.MAX_VALUE;
for (var i = 0; i < input.length; i++) {
for( var j=0; j<input[i].length; j++ ){
min = Math.min(min,input[i][j]);
}
}
return min;
}
//Normalize the length unit (for example, parse the LengthUnit enum values)
static normalizeLengthUnit(input: string): string{
if(input == null) return input;
switch(input.toLowerCase()){
case "px":
return "px";
case "percent":
case "%":
return "%";
case "cm":
return "cm";
case "mm":
return "mm";
case "in":
return "in";
default:
return input;
}
}
}