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stdlib-bot committed Dec 30, 2024
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3 changes: 2 additions & 1 deletion CHANGELOG.md
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<section class="release" id="unreleased">

## Unreleased (2024-12-29)
## Unreleased (2024-12-30)

<section class="features">

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<details>

- [`109c303`](https://github.com/stdlib-js/stdlib/commit/109c3034461f70d36339206cf05237230aba0902) - **docs:** update REPL namespace documentation [(#4364)](https://github.com/stdlib-js/stdlib/pull/4364) _(by stdlib-bot)_
- [`7d8aba0`](https://github.com/stdlib-js/stdlib/commit/7d8aba04d7513814f09d725b81c0f953ad4c3b7f) - **feat:** add ndarray APIs and float32 constants to namespace _(by Athan Reines)_
- [`800e80b`](https://github.com/stdlib-js/stdlib/commit/800e80b8550012d379d57c8ac7e14909a96cbc60) - **docs:** update REPL namespace documentation [(#4336)](https://github.com/stdlib-js/stdlib/pull/4336) _(by stdlib-bot, Philipp Burckhardt)_
- [`723d79a`](https://github.com/stdlib-js/stdlib/commit/723d79a57ba54b0d000e04bff76fa425f8e9fff6) - **docs:** update REPL namespace documentation [(#4304)](https://github.com/stdlib-js/stdlib/pull/4304) _(by stdlib-bot, Philipp Burckhardt)_
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34 changes: 30 additions & 4 deletions data/data.csv
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Expand Up @@ -1766,8 +1766,8 @@ base.strided.dmeanwd,"\nbase.strided.dmeanwd( N:integer, x:Float64Array, stride:
base.strided.dmeanwd.ndarray,"\nbase.strided.dmeanwd.ndarray( N:integer, x:Float64Array, stride:integer, \n offset:integer )\n Computes the arithmetic mean of a double-precision floating-point strided\n array using Welford's algorithm and alternative indexing semantics.\n"
base.strided.dmediansorted,"\nbase.strided.dmediansorted( N:integer, x:Float64Array, stride:integer )\n Computes the median value of a sorted double-precision floating-point\n strided array.\n"
base.strided.dmediansorted.ndarray,"\nbase.strided.dmediansorted.ndarray( N:integer, x:Float64Array, stride:integer, \n offset:integer )\n Computes the median value of a sorted double-precision floating-point\n strided array using alternative indexing semantics.\n"
base.strided.dmidrange,"\nbase.strided.dmidrange( N:integer, x:Float64Array, stride:integer )\n Computes the mid-range of a double-precision floating-point strided array.\n"
base.strided.dmidrange.ndarray,"\nbase.strided.dmidrange.ndarray( N:integer, x:Float64Array, stride:integer, \n offset:integer )\n Computes the mid-range of a double-precision floating-point strided array\n using alternative indexing semantics.\n"
base.strided.dmidrange,"\nbase.strided.dmidrange( N:integer, x:Float64Array, strideX:integer )\n Computes the mid-range of a double-precision floating-point strided array.\n"
base.strided.dmidrange.ndarray,"\nbase.strided.dmidrange.ndarray( N:integer, x:Float64Array, strideX:integer, \n offsetX:integer )\n Computes the mid-range of a double-precision floating-point strided array\n using alternative indexing semantics.\n"
base.strided.dmin,"\nbase.strided.dmin( N:integer, x:Float64Array, strideX:integer )\n Computes the minimum value of a double-precision floating-point strided\n array.\n"
base.strided.dmin.ndarray,"\nbase.strided.dmin.ndarray( N:integer, x:Float64Array, strideX:integer, \n offsetX:integer )\n Computes the minimum value of a double-precision floating-point strided\n array using alternative indexing semantics.\n"
base.strided.dminabs,"\nbase.strided.dminabs( N:integer, x:Float64Array, strideX:integer )\n Computes the minimum absolute value of a double-precision floating-point\n strided array.\n"
Expand Down Expand Up @@ -2313,8 +2313,8 @@ base.strided.smeanwd,"\nbase.strided.smeanwd( N:integer, x:Float32Array, stride:
base.strided.smeanwd.ndarray,"\nbase.strided.smeanwd.ndarray( N:integer, x:Float32Array, stride:integer, \n offset:integer )\n Computes the arithmetic mean of a single-precision floating-point strided\n array using Welford's algorithm and alternative indexing semantics.\n"
base.strided.smediansorted,"\nbase.strided.smediansorted( N:integer, x:Float32Array, stride:integer )\n Computes the median value of a sorted single-precision floating-point\n strided array.\n"
base.strided.smediansorted.ndarray,"\nbase.strided.smediansorted.ndarray( N:integer, x:Float32Array, stride:integer, \n offset:integer )\n Computes the median value of a sorted single-precision floating-point\n strided array using alternative indexing semantics.\n"
base.strided.smidrange,"\nbase.strided.smidrange( N:integer, x:Float32Array, stride:integer )\n Computes the mid-range of a single-precision floating-point strided array.\n"
base.strided.smidrange.ndarray,"\nbase.strided.smidrange.ndarray( N:integer, x:Float32Array, stride:integer, \n offset:integer )\n Computes the mid-range of a single-precision floating-point strided array\n using alternative indexing semantics.\n"
base.strided.smidrange,"\nbase.strided.smidrange( N:integer, x:Float32Array, strideX:integer )\n Computes the mid-range of a single-precision floating-point strided array.\n"
base.strided.smidrange.ndarray,"\nbase.strided.smidrange.ndarray( N:integer, x:Float32Array, strideX:integer, \n offsetX:integer )\n Computes the mid-range of a single-precision floating-point strided array\n using alternative indexing semantics.\n"
base.strided.smin,"\nbase.strided.smin( N:integer, x:Float32Array, strideX:integer )\n Computes the minimum value of a single-precision floating-point strided\n array.\n"
base.strided.smin.ndarray,"\nbase.strided.smin.ndarray( N:integer, x:Float32Array, strideX:integer, \n offsetX:integer )\n Computes the minimum value of a single-precision floating-point strided\n array using alternative indexing semantics.\n"
base.strided.sminabs,"\nbase.strided.sminabs( N:integer, x:Float32Array, strideX:integer )\n Computes the minimum absolute value of a single-precision floating-point\n strided array.\n"
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FLOAT16_SQRT_EPS,"\nFLOAT16_SQRT_EPS\n Square root of half-precision floating-point epsilon.\n"
FLOAT32_ABS_MASK,"\nFLOAT32_ABS_MASK\n Mask for excluding the sign bit of a single-precision floating-point number.\n"
FLOAT32_CBRT_EPS,"\nFLOAT32_CBRT_EPS\n Cube root of single-precision floating-point epsilon.\n"
FLOAT32_E,"\nFLOAT32_E\n Euler's number.\n"
FLOAT32_EPS,"\nFLOAT32_EPS\n Difference between one and the smallest value greater than one that can be\n represented as a single-precision floating-point number.\n"
FLOAT32_EXPONENT_BIAS,"\nFLOAT32_EXPONENT_BIAS\n The bias of a single-precision floating-point number's exponent.\n"
FLOAT32_EXPONENT_MASK,"\nFLOAT32_EXPONENT_MASK\n Mask for the exponent of a single-precision floating-point number.\n"
FLOAT32_FOURTH_PI,"\nFLOAT32_FOURTH_PI\n One fourth times the mathematical constant `π`.\n"
FLOAT32_HALF_LN_TWO,"\nFLOAT32_HALF_LN_TWO\n One half times the natural logarithm of 2 as a single-precision\n floating-point number.\n"
FLOAT32_HALF_PI,"\nFLOAT32_HALF_PI\n One half times the mathematical constant `π`.\n"
FLOAT32_LN_HALF,"\nFLOAT32_LN_HALF\n Natural logarithm of `1/2` as a single-precision floating-point number.\n"
FLOAT32_LN_PI,"\nFLOAT32_LN_PI\n Natural logarithm of the mathematical constant `π` as a single-precision\n floating-point number.\n"
FLOAT32_LN_TEN,"\nFLOAT32_LN_TEN\n Natural logarithm of `10` as a single-precision floating-point number.\n"
FLOAT32_LN_TWO,"\nFLOAT32_LN_TWO\n Natural logarithm of `2` as a single-precision floating-point number.\n"
FLOAT32_MAX,"\nFLOAT32_MAX\n Maximum single-precision floating-point number.\n"
FLOAT32_MAX_BASE2_EXPONENT,"\nFLOAT32_MAX_BASE2_EXPONENT\n The maximum biased base 2 exponent for a single-precision floating-point\n number.\n"
FLOAT32_MAX_BASE2_EXPONENT_SUBNORMAL,"\nFLOAT32_MAX_BASE2_EXPONENT_SUBNORMAL\n The maximum biased base 2 exponent for a subnormal single-precision\n floating-point number.\n"
FLOAT32_MAX_BASE10_EXPONENT,"\nFLOAT32_MAX_BASE10_EXPONENT\n The maximum base 10 exponent for a single-precision floating-point number.\n"
FLOAT32_MAX_BASE10_EXPONENT_SUBNORMAL,"\nFLOAT32_MAX_BASE10_EXPONENT_SUBNORMAL\n The maximum base 10 exponent for a subnormal single-precision floating-point\n number.\n"
FLOAT32_MAX_SAFE_FIBONACCI,"\nFLOAT32_MAX_SAFE_FIBONACCI\n Maximum safe Fibonacci number when stored in single-precision floating-point\n format.\n"
FLOAT32_MAX_SAFE_INTEGER,"\nFLOAT32_MAX_SAFE_INTEGER\n Maximum safe single-precision floating-point integer.\n"
FLOAT32_MAX_SAFE_NTH_FACTORIAL,"\nFLOAT32_MAX_SAFE_NTH_FACTORIAL\n Maximum safe nth factorial when stored in single-precision floating-\n point format.\n"
FLOAT32_MAX_SAFE_NTH_FIBONACCI,"\nFLOAT32_MAX_SAFE_NTH_FIBONACCI\n Maximum safe nth Fibonacci number when stored in single-precision floating-\n point format.\n"
FLOAT32_MAX_SAFE_NTH_LUCAS,"\nFLOAT32_MAX_SAFE_NTH_LUCAS\n Maximum safe nth Lucas number when stored in single-precision floating-point\n format.\n"
FLOAT32_MIN_BASE2_EXPONENT,"\nFLOAT32_MIN_BASE2_EXPONENT\n The minimum biased base 2 exponent for a normalized single-precision\n floating-point number.\n"
FLOAT32_MIN_BASE2_EXPONENT_SUBNORMAL,"\nFLOAT32_MIN_BASE2_EXPONENT_SUBNORMAL\n The minimum biased base 2 exponent for a subnormal single-precision\n floating-point number.\n"
FLOAT32_MIN_BASE10_EXPONENT,"\nFLOAT32_MIN_BASE10_EXPONENT\n The minimum base 10 exponent for a normal single-precision floating-\n point number.\n"
FLOAT32_MIN_BASE10_EXPONENT_SUBNORMAL,"\nFLOAT32_MIN_BASE10_EXPONENT_SUBNORMAL\n The minimum base 10 exponent for a subnormal single-precision floating-\n point number.\n"
FLOAT32_MIN_SAFE_INTEGER,"\nFLOAT32_MIN_SAFE_INTEGER\n Minimum safe single-precision floating-point integer.\n"
FLOAT32_NAN,"\nFLOAT32_NAN\n Single-precision floating-point NaN.\n"
FLOAT32_NINF,"\nFLOAT32_NINF\n Single-precision floating-point negative infinity.\n"
FLOAT32_NUM_BYTES,"\nFLOAT32_NUM_BYTES\n Size (in bytes) of a single-precision floating-point number.\n"
FLOAT32_PHI,"\nFLOAT32_PHI\n Golden ratio.\n"
FLOAT32_PI,"\nFLOAT32_PI\n The mathematical constant `π`.\n"
FLOAT32_PINF,"\nFLOAT32_PINF\n Single-precision floating-point positive infinity.\n"
FLOAT32_PRECISION,"\nFLOAT32_PRECISION\n Effective number of bits in the significand of a single-precision floating-\n point number.\n"
Expand All @@ -2923,6 +2942,13 @@ FLOAT32_SIGNIFICAND_MASK,"\nFLOAT32_SIGNIFICAND_MASK\n Mask for the significa
FLOAT32_SMALLEST_NORMAL,"\nFLOAT32_SMALLEST_NORMAL\n Smallest positive normalized single-precision floating-point number.\n"
FLOAT32_SMALLEST_SUBNORMAL,"\nFLOAT32_SMALLEST_SUBNORMAL\n Smallest positive denormalized single-precision floating-point number.\n"
FLOAT32_SQRT_EPS,"\nFLOAT32_SQRT_EPS\n Square root of single-precision floating-point epsilon.\n"
FLOAT32_SQRT_HALF,"\nFLOAT32_SQRT_HALF\n Square root of `1/2` as a single-precision floating-point number.\n"
FLOAT32_SQRT_HALF_PI,"\nFLOAT32_SQRT_HALF_PI\n Square root of `π` divided by `2` as a single-precision \n floating-point number.\n"
FLOAT32_SQRT_PHI,"\nFLOAT32_SQRT_PHI\n Square root of the golden ratio as a single-precision floating-point number.\n"
FLOAT32_SQRT_PI,"\nFLOAT32_SQRT_PI\n Square root of the mathematical constant `π` as a single-precision\n floating-point number.\n"
FLOAT32_SQRT_THREE,"\nFLOAT32_SQRT_THREE\n Square root of `3` as a single-precision floating-point number.\n"
FLOAT32_SQRT_TWO,"\nFLOAT32_SQRT_TWO\n Square root of `2` as a single-precision floating-point number.\n"
FLOAT32_SQRT_TWO_PI,"\nFLOAT32_SQRT_TWO_PI\n Square root of the `π` times `2` as single-precision floating-point number.\n"
FLOAT32_TWO_PI,"\nFLOAT32_TWO_PI\n The mathematical constant `π` times `2`.\n"
Float32Array,"\nFloat32Array()\n A typed array constructor which returns a typed array representing an array\n of single-precision floating-point numbers in the platform byte order.\n\nFloat32Array( length:integer )\n Returns a typed array having a specified length.\n\nFloat32Array( typedarray:TypedArray )\n Creates a typed array from another typed array.\n\nFloat32Array( obj:Object )\n Creates a typed array from an array-like object or iterable.\n\nFloat32Array( buffer:ArrayBuffer[, byteOffset:integer[, length:integer]] )\n Returns a typed array view of an ArrayBuffer.\n"
Float32Array.from,"\nFloat32Array.from( src:ArrayLike|Iterable[, map:Function[, thisArg:Any]] )\n Creates a new typed array from an array-like object or an iterable.\n"
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