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import * as macro from 'vtk.js/Sources/macros';
import * as vtkMath from 'vtk.js/Sources/Common/Core/Math';
const { vtkErrorMacro } = macro;
const { DefaultDataType } = Constants;
// ----------------------------------------------------------------------------
// Global methods
// ----------------------------------------------------------------------------
const EPSILON = 1e-6;
// Original source from https://www.npmjs.com/package/compute-range
// Modified to accept type arrays
function fastComputeRange(arr, offset, numberOfComponents) {
const len = arr.length;
let min = Number.MAX_VALUE;
let max = -Number.MAX_VALUE;
let x;
let i;
// find first non-NaN value
for (i = offset; i < len; i += numberOfComponents) {
if (!Number.isNaN(arr[i])) {
min = arr[i];
max = min;
break;
}
}
for (; i < len; i += numberOfComponents) {
x = arr[i];
if (x < min) {
min = x;
} else if (x > max) {
max = x;
}
}
return { min, max };
}
/**
* @deprecated please use fastComputeRange instead
*/
function createRangeHelper() {
let min = Number.MAX_VALUE;
let max = -Number.MAX_VALUE;
let count = 0;
let sum = 0;
return {
add(value) {
if (min > value) {
min = value;
}
if (max < value) {
max = value;
}
count++;
sum += value;
},
get() {
return { min, max, count, sum, mean: sum / count };
},
getRange() {
return { min, max };
},
};
}
function computeRange(values, component = 0, numberOfComponents = 1) {
if (component < 0 && numberOfComponents > 1) {
// Compute magnitude
const size = values.length;
const numberOfValues = size / numberOfComponents;
const data = new Float64Array(numberOfValues);
for (let i = 0, j = 0; i < numberOfValues; ++i) {
for (let nextJ = j + numberOfComponents; j < nextJ; ++j) {
data[i] += values[j] * values[j];
}
data[i] **= 0.5;
}
return fastComputeRange(data, 0, 1);
}
return fastComputeRange(
values,
component < 0 ? 0 : component,
numberOfComponents
);
}
function ensureRangeSize(rangeArray, size = 0) {
const ranges = rangeArray || [];
// Pad ranges with null value to get the
while (ranges.length <= size) {
ranges.push(null);
}
return ranges;
}
function getDataType(typedArray) {
// Expects toString() to return "[object ...Array]"
return Object.prototype.toString.call(typedArray).slice(8, -1);
}
function getMaxNorm(normArray) {
const numComps = normArray.getNumberOfComponents();
let maxNorm = 0.0;
const tuple = new Array(numComps);
for (let i = 0; i < normArray.getNumberOfTuples(); ++i) {
normArray.getTuple(i, tuple);
const norm = vtkMath.norm(tuple, numComps);
if (norm > maxNorm) {
maxNorm = norm;
}
}
return maxNorm;
}
// ----------------------------------------------------------------------------
// Static API
// ----------------------------------------------------------------------------
export const STATIC = {
computeRange,
createRangeHelper,
fastComputeRange,
getDataType,
getMaxNorm,
};
// ----------------------------------------------------------------------------
// vtkDataArray methods
// ----------------------------------------------------------------------------
function vtkDataArray(publicAPI, model) {
// Set our className
model.classHierarchy.push('vtkDataArray');
/**
* Resize model.values and copy the old values to the new array.
* @param {Number} requestedNumTuples Final expected number of tuples; must be >= 0
* @returns {Boolean} True if a resize occured, false otherwise
*/
function resize(requestedNumTuples) {
Iif (requestedNumTuples < 0) {
return false;
}
const numComps = publicAPI.getNumberOfComponents();
const curNumTuples = model.values.length / (numComps > 0 ? numComps : 1);
if (requestedNumTuples === curNumTuples) {
return true;
}
if (requestedNumTuples > curNumTuples) {
// Requested size is bigger than current size. Allocate enough
// memory to fit the requested size and be more than double the
// currently allocated memory.
const oldValues = model.values;
model.values = macro.newTypedArray(
model.dataType,
(requestedNumTuples + curNumTuples) * numComps
);
model.values.set(oldValues);
return true;
}
// Requested size is smaller than currently allocated size
if (model.size > requestedNumTuples * numComps) {
model.size = requestedNumTuples * numComps;
publicAPI.dataChange();
}
return true;
}
publicAPI.dataChange = () => {
model.ranges = null;
publicAPI.modified();
};
publicAPI.resize = (requestedNumTuples) => {
resize(requestedNumTuples);
const newSize = requestedNumTuples * publicAPI.getNumberOfComponents();
if (model.size !== newSize) {
model.size = newSize;
publicAPI.dataChange();
return true;
}
return false;
};
// FIXME, to rename into "clear()" or "reset()"
publicAPI.initialize = () => {
publicAPI.resize(0);
};
publicAPI.getElementComponentSize = () => model.values.BYTES_PER_ELEMENT;
// Description:
// Return the data component at the location specified by tupleIdx and
// compIdx.
publicAPI.getComponent = (tupleIdx, compIdx = 0) =>
model.values[tupleIdx * model.numberOfComponents + compIdx];
// Description:
// Set the data component at the location specified by tupleIdx and compIdx
// to value.
// Note that i is less than NumberOfTuples and j is less than
// NumberOfComponents. Make sure enough memory has been allocated
// (use SetNumberOfTuples() and SetNumberOfComponents()).
publicAPI.setComponent = (tupleIdx, compIdx, value) => {
if (value !== model.values[tupleIdx * model.numberOfComponents + compIdx]) {
model.values[tupleIdx * model.numberOfComponents + compIdx] = value;
publicAPI.dataChange();
}
};
publicAPI.getValue = (valueIdx) => {
const idx = valueIdx / model.numberOfComponents;
const comp = valueIdx % model.numberOfComponents;
return publicAPI.getComponent(idx, comp);
};
publicAPI.setValue = (valueIdx, value) => {
const idx = valueIdx / model.numberOfComponents;
const comp = valueIdx % model.numberOfComponents;
publicAPI.setComponent(idx, comp, value);
};
publicAPI.getData = () =>
model.size === model.values.length
? model.values
: model.values.subarray(0, model.size);
publicAPI.getRange = (componentIndex = -1) => {
let rangeIdx = componentIndex;
if (rangeIdx < 0) {
// If scalar data, then store in slot 0 (same as componentIndex = 0).
// If vector data, then store in last slot.
rangeIdx = model.numberOfComponents === 1 ? 0 : model.numberOfComponents;
}
let range = null;
if (!model.ranges) {
model.ranges = ensureRangeSize(model.ranges, model.numberOfComponents);
}
range = model.ranges[rangeIdx];
if (range) {
model.rangeTuple[0] = range.min;
model.rangeTuple[1] = range.max;
return model.rangeTuple;
}
// Need to compute ranges...
range = computeRange(
publicAPI.getData(),
componentIndex,
model.numberOfComponents
);
model.ranges[rangeIdx] = range;
model.rangeTuple[0] = range.min;
model.rangeTuple[1] = range.max;
return model.rangeTuple;
};
publicAPI.setRange = (rangeValue, componentIndex) => {
if (!model.ranges) {
model.ranges = ensureRangeSize(model.ranges, model.numberOfComponents);
}
const range = { min: rangeValue.min, max: rangeValue.max };
model.ranges[componentIndex] = range;
model.rangeTuple[0] = range.min;
model.rangeTuple[1] = range.max;
return model.rangeTuple;
};
publicAPI.setTuple = (idx, tuple) => {
const offset = idx * model.numberOfComponents;
for (let i = 0; i < model.numberOfComponents; i++) {
model.values[offset + i] = tuple[i];
}
};
publicAPI.setTuples = (idx, tuples) => {
let i = idx * model.numberOfComponents;
const last = Math.min(tuples.length, model.size - i);
for (let j = 0; j < last; ) {
model.values[i++] = tuples[j++];
}
};
publicAPI.insertTuple = (idx, tuple) => {
if (model.size <= idx * model.numberOfComponents) {
model.size = (idx + 1) * model.numberOfComponents;
resize(idx + 1);
}
publicAPI.setTuple(idx, tuple);
return idx;
};
publicAPI.insertTuples = (idx, tuples) => {
const end = idx + tuples.length / model.numberOfComponents;
if (model.size < end * model.numberOfComponents) {
model.size = end * model.numberOfComponents;
resize(end);
}
publicAPI.setTuples(idx, tuples);
return end;
};
publicAPI.insertNextTuple = (tuple) => {
const idx = model.size / model.numberOfComponents;
return publicAPI.insertTuple(idx, tuple);
};
publicAPI.insertNextTuples = (tuples) => {
const idx = model.size / model.numberOfComponents;
return publicAPI.insertTuples(idx, tuples);
};
publicAPI.findTuple = (tuple, precision = EPSILON) => {
for (let i = 0; i < model.size; i += model.numberOfComponents) {
if (Math.abs(tuple[0] - model.values[i]) <= precision) {
let match = true;
for (let j = 1; j < model.numberOfComponents; ++j) {
if (Math.abs(tuple[j] - model.values[i + j]) > precision) {
match = false;
break;
}
}
if (match) {
return i / model.numberOfComponents;
}
}
}
return -1;
};
publicAPI.getTuple = (idx, tupleToFill = []) => {
const numberOfComponents = model.numberOfComponents || 1;
const offset = idx * numberOfComponents;
// Check most common component sizes first
// to avoid doing a for loop if possible
switch (numberOfComponents) {
case 4:
tupleToFill[3] = model.values[offset + 3];
// eslint-disable-next-line no-fallthrough
case 3:
tupleToFill[2] = model.values[offset + 2];
// eslint-disable-next-line no-fallthrough
case 2:
tupleToFill[1] = model.values[offset + 1];
// eslint-disable-next-line no-fallthrough
case 1:
tupleToFill[0] = model.values[offset];
break;
default:
for (let i = numberOfComponents - 1; i >= 0; --i) {
tupleToFill[i] = model.values[offset + i];
}
}
return tupleToFill;
};
publicAPI.getTuples = (fromId, toId) => {
const from = (fromId ?? 0) * model.numberOfComponents;
const to =
(toId ?? publicAPI.getNumberOfTuples()) * model.numberOfComponents;
const arr = publicAPI.getData().subarray(from, to);
return arr.length > 0 ? arr : null;
};
publicAPI.getTupleLocation = (idx = 1) => idx * model.numberOfComponents;
publicAPI.getNumberOfComponents = () => model.numberOfComponents;
publicAPI.getNumberOfValues = () => model.size;
publicAPI.getNumberOfTuples = () => model.size / model.numberOfComponents;
publicAPI.getDataType = () => model.dataType;
/* eslint-disable no-use-before-define */
publicAPI.newClone = () =>
newInstance({
empty: true,
name: model.name,
dataType: model.dataType,
numberOfComponents: model.numberOfComponents,
});
/* eslint-enable no-use-before-define */
publicAPI.getName = () => {
if (!model.name) {
publicAPI.modified();
model.name = `vtkDataArray${publicAPI.getMTime()}`;
}
return model.name;
};
publicAPI.setData = (typedArray, numberOfComponents) => {
model.values = typedArray;
model.size = typedArray.length;
model.dataType = getDataType(typedArray);
if (numberOfComponents) {
model.numberOfComponents = numberOfComponents;
}
Iif (model.size % model.numberOfComponents !== 0) {
model.numberOfComponents = 1;
}
publicAPI.dataChange();
};
// Override serialization support
publicAPI.getState = () => {
if (model.deleted) {
return null;
}
const jsonArchive = { ...model, vtkClass: publicAPI.getClassName() };
// Convert typed array to regular array
jsonArchive.values = Array.from(jsonArchive.values);
delete jsonArchive.buffer;
// Clean any empty data
Object.keys(jsonArchive).forEach((keyName) => {
if (!jsonArchive[keyName]) {
delete jsonArchive[keyName];
}
});
// Sort resulting object by key name
const sortedObj = {};
Object.keys(jsonArchive)
.sort()
.forEach((name) => {
sortedObj[name] = jsonArchive[name];
});
// Remove mtime
if (sortedObj.mtime) {
delete sortedObj.mtime;
}
return sortedObj;
};
publicAPI.deepCopy = (other) => {
// Retain current dataType and array reference before shallowCopy call.
const currentType = publicAPI.getDataType();
const currentArray = model.values;
publicAPI.shallowCopy(other);
// Avoid array reallocation if size already sufficient
// and dataTypes match.
Iif (
currentArray?.length >= other.getNumberOfValues() &&
currentType === other.getDataType()
) {
currentArray.set(other.getData());
model.values = currentArray;
publicAPI.dataChange();
} else {
publicAPI.setData(other.getData().slice());
}
};
publicAPI.interpolateTuple = (
idx,
source1,
source1Idx,
source2,
source2Idx,
t
) => {
const numberOfComponents = model.numberOfComponents || 1;
if (
numberOfComponents !== source1.getNumberOfComponents() ||
numberOfComponents !== source2.getNumberOfComponents()
) {
vtkErrorMacro('numberOfComponents must match');
}
const tuple1 = source1.getTuple(source1Idx);
const tuple2 = source2.getTuple(source2Idx);
const out = [];
out.length = numberOfComponents;
// Check most common component sizes first
// to avoid doing a for loop if possible
switch (numberOfComponents) {
case 4:
out[3] = tuple1[3] + (tuple2[3] - tuple1[3]) * t;
// eslint-disable-next-line no-fallthrough
case 3:
out[2] = tuple1[2] + (tuple2[2] - tuple1[2]) * t;
// eslint-disable-next-line no-fallthrough
case 2:
out[1] = tuple1[1] + (tuple2[1] - tuple1[1]) * t;
// eslint-disable-next-line no-fallthrough
case 1:
out[0] = tuple1[0] + (tuple2[0] - tuple1[0]) * t;
break;
default:
for (let i = 0; i < numberOfComponents; i++) {
out[i] = tuple1[i] + (tuple2[i] - tuple1[i]) * t;
}
}
return publicAPI.insertTuple(idx, out);
};
}
// ----------------------------------------------------------------------------
// Object factory
// ----------------------------------------------------------------------------
// size: The current size of the dataArray.
// NOTE: The underlying typed array may be larger than 'size'.
const DEFAULT_VALUES = {
name: '',
numberOfComponents: 1,
dataType: DefaultDataType,
rangeTuple: [0, 0],
// size: undefined,
// values: null,
// ranges: null,
};
// ----------------------------------------------------------------------------
export function extend(publicAPI, model, initialValues = {}) {
Object.assign(model, DEFAULT_VALUES, initialValues);
Iif (!model.empty && !model.values && !model.size) {
throw new TypeError(
'Cannot create vtkDataArray object without: size > 0, values'
);
}
if (!model.values) {
model.values = macro.newTypedArray(model.dataType, model.size);
} else if (Array.isArray(model.values)) {
model.values = macro.newTypedArrayFrom(model.dataType, model.values);
}
if (model.values) {
// Takes the size if provided (can be lower than `model.values`) otherwise the actual length of `values`.
model.size = model.size ?? model.values.length;
model.dataType = getDataType(model.values);
}
// Object methods
macro.obj(publicAPI, model);
macro.set(publicAPI, model, ['name', 'numberOfComponents']);
Iif (model.size % model.numberOfComponents !== 0) {
throw new RangeError(
'model.size is not a multiple of model.numberOfComponents'
);
}
// Object specific methods
vtkDataArray(publicAPI, model);
}
// ----------------------------------------------------------------------------
export const newInstance = macro.newInstance(extend, 'vtkDataArray');
// ----------------------------------------------------------------------------
export default { newInstance, extend, ...STATIC, ...Constants };
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