time-to-botec

Benchmark sampling in different programming languages
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      1 
      2 {{alias}}( N, x, stride, clbk[, thisArg] )
      3     Calculates the minimum value of a strided array via a callback function,
      4     ignoring `NaN` values.
      5 
      6     The `N` and `stride` parameters determine which elements in `x` are accessed
      7     at runtime.
      8 
      9     Indexing is relative to the first index. To introduce an offset, use typed
     10     array views.
     11 
     12     If `N <= 0`, the function returns `x` unchanged.
     13 
     14     The callback function is provided four arguments:
     15 
     16     - value: array element
     17     - aidx: array index
     18     - sidx: strided index (offset + aidx*stride)
     19     - array: the input array
     20 
     21     The callback function should return a numeric value.
     22 
     23     If the callback function returns `NaN`, the value is ignored.
     24 
     25     If the callback function does not return any value (or equivalently,
     26     explicitly returns `undefined`), the value is ignored.
     27 
     28     Parameters
     29     ----------
     30     N: integer
     31         Number of indexed elements.
     32 
     33     x: Array|TypedArray|Object
     34         Input array/collection. If provided an object, the object must be array-
     35         like (excluding strings and functions).
     36 
     37     stride: integer
     38         Index increment for `x`.
     39 
     40     clbk: Function
     41         Callback function.
     42 
     43     thisArg: any (optional)
     44         Execution context.
     45 
     46     Returns
     47     -------
     48     out: number
     49         Minimum value.
     50 
     51     Examples
     52     --------
     53     // Standard Usage:
     54     > function accessor( v ) { return v * 2.0; };
     55     > var x = [ -2.0, 1.0, 3.0, -5.0, 4.0, NaN, -1.0, -3.0 ];
     56     > {{alias}}( x.length, x, 1, accessor )
     57     -10.0
     58 
     59     // Using `N` and `stride` parameters:
     60     > x = [ -2.0, 1.0, 3.0, -5.0, 4.0, -1.0, NaN, -3.0 ];
     61     > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
     62     > {{alias}}( N, x, 2, accessor )
     63     -4.0
     64 
     65     // Using view offsets:
     66     > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );
     67     > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
     68     > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
     69     > {{alias}}( N, x1, 2, accessor )
     70     -12.0
     71 
     72 {{alias}}.ndarray( N, x, stride, offset, clbk[, thisArg] )
     73     Calculates the minimum value of a strided array via a callback function,
     74     ignoring `NaN` values and using alternative indexing semantics.
     75 
     76     While typed array views mandate a view offset based on the underlying
     77     buffer, the `offset` parameter supports indexing semantics based on a
     78     starting index.
     79 
     80     Parameters
     81     ----------
     82     N: integer
     83         Number of indexed elements.
     84 
     85     x: Array|TypedArray|Object
     86         Input array/collection. If provided an object, the object must be array-
     87         like (excluding strings and functions).
     88 
     89     stride: integer
     90         Index increment for `x`.
     91 
     92     offset: integer
     93         Starting index of `x`.
     94 
     95     clbk: Function
     96         Callback function.
     97 
     98     thisArg: any (optional)
     99         Execution context.
    100 
    101     Returns
    102     -------
    103     out: number
    104         Minimum value.
    105 
    106     Examples
    107     --------
    108     // Standard Usage:
    109     > function accessor( v ) { return v * 2.0; };
    110     > var x = [ -2.0, 1.0, 3.0, -5.0, 4.0, NaN, -1.0, -3.0 ];
    111     > {{alias}}.ndarray( x.length, x, 1, 0, accessor )
    112     -10.0
    113 
    114     // Using an index offset:
    115     > x = [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ];
    116     > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
    117     > {{alias}}.ndarray( N, x, 2, 1, accessor )
    118     -12.0
    119 
    120     See Also
    121     --------
    122