本文整理匯總了TypeScript中core/util/types.isTypedArray函數的典型用法代碼示例。如果您正苦於以下問題：TypeScript isTypedArray函數的具體用法？TypeScript isTypedArray怎麽用？TypeScript isTypedArray使用的例子？那麽, 這裏精選的函數代碼示例或許可以為您提供幫助。
在下文中一共展示了isTypedArray函數的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的TypeScript代碼示例。
示例1: map_data
map_data(): void {
const self = this as any
for (let [xname, yname] of this.model._coords) {
const sxname = `s${xname}`
const syname = `s${yname}`
xname = `_${xname}`
yname = `_${yname}`
if (self[xname] != null && (isArray(self[xname][0]) || isTypedArray(self[xname][0]))) {
const ni = self[xname].length
self[sxname] = new Array(ni)
self[syname] = new Array(ni)
for (let i = 0; i < ni; i++) {
const nj = self[xname][i].length
self[sxname][i] = new Array(nj)
self[syname][i] = new Array(nj)
for (let j = 0; j < nj; j++) {
const nk = self[xname][i][j].length
self[sxname][i][j] = new Array(nk)
self[syname][i][j] = new Array(nk)
for (let k = 0; k < nk; k++) {
const [sx, sy] = this.map_to_screen(self[xname][i][j][k], self[yname][i][j][k])
self[sxname][i][j][k] = sx
self[syname][i][j][k] = sy
}
}
}
}
}
}示例2: stream_to_column
export function stream_to_column(col: Arrayable, new_col: Arrayable, rollover?: number): Arrayable {
if (isArray(col)) {
const result = col.concat(new_col)
if (rollover != null && result.length > rollover)
return result.slice(-rollover)
else
return result
} else if (isTypedArray(col)) {
const total_len = col.length + new_col.length
// handle rollover case for typed arrays
if (rollover != null && total_len > rollover) {
const start = total_len - rollover
const end = col.length
// resize col if it is shorter than the rollover length
let result: TypedArray
if (col.length < rollover) {
result = new ((col as any).constructor)(rollover)
result.set(col, 0)
} else
result = col
// shift values in original col to accommodate new_col
for (let i = start, endi = end; i < endi; i++) {
result[i-start] = result[i]
}
// update end values in col with new_col
for (let i = 0, endi = new_col.length; i < endi; i++) {
result[i+(end-start)] = new_col[i]
}
return result
} else {
const tmp = new ((col as any).constructor)(new_col)
return typed_array.concat(col, tmp)
}
} else
throw new Error("unsupported array types")
}