Return the maximum single-precision floating-point number.
Calculate the maximum absolute value of a single-precision floating-point strided array, ignoring NaN values.
通用工具函数
Compute the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.
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Calculate the maximum value of a double-precision floating-point strided array according to a mask.
Calculate the minimum value of a double-precision floating-point strided array according to a mask.
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Add a constant to each double-precision floating-point strided array element and compute the sum using pairwise summation.
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New Update v-upa7of
Compute the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values and using pairwise summation.
Compute the reciprocal square root for each element in a single-precision floating-point strided array according to a strided mask array.
Calculate the median value of a sorted single-precision floating-point strided array.
Compute the cosine distance between two double-precision floating-point strided arrays.
Shared ESLint flat config for NestJS / Node TypeScript projects.
Don't let that suffix outta sight!
Compute the sum of all elements in a one-dimensional double-precision floating-point ndarray using an improved Kahan–Babuška algorithm.
Calculate the minimum value of a sorted double-precision floating-point strided array.