dimension_ops
std.elementwise.dimension_ops · Level L1Dimensional analysis with the base dimensions L, M and T, each quantity's dimension an exponent vector (a, b, c) for L^a M^b T^c: the dimension of a product (exponents add), of a quotient (they subtract), of the k-th power (they scale by k), and whether u and v have the same dimension, which an equality or a sum of the two quantities needs, as 1 or 0. Consistent dimensions are necessary for a physical equation, not sufficient.
Signature
dimension_ops(u: f64[3], v: f64[3], k: f64[]) → f64[3], f64[3], f64[3], f64[]
Structure
The function as NOVA stores it: one box per input, operation and output, and arrows that carry values. A double border marks another library function this one runs — called once, or by Scan once per element; select it to open that function.
- input
- operation
- constant
- call
- output
Verification
- Signature proven by NOVA’s shape solver, for every size.
- Equal to the reference
exponent arithmeticin exact rational arithmetic, on all 40 test cases. - All 400 float64 results are exact: the error is zero.
- Interpreter and NumPy backend return bit-identical results.
- At float32 too: the 40 test cases rounded to float32, and 40 of them exact, with zero error.
- correctly rounded (the float64 nearest the exact value)
- 100%
- bit-equal to the NumPy formula in float64
- 100%
- largest error, in units in the last place
- 0
Identity
sha256:7336efd2dc0e5a36cf342eda8103928ba807488c232bb19fc0d8e767335ec754The semantic hash of the graph. It changes when the program changes, and never when only its documentation does.
Control handle
- Symbol
- Ω:std.elementwise.dimension_ops · Ω:dimension_ops
- Pins
sha256:82f5b6d280c61b1fb470ed5977ea37a9b6b5229a7b493921afb8d1ab3446787bthis graph alone- Evidence
sha256:2c7fa841881af55a39b130cfe3e104c2d5903e7c0b2cb807ac92e2cdc3587784the hash of its verification record- Needs
- no capability: a pure function
Through NOVA’s control layer, the symbol launches this function only while the program still matches what it pins: a change to this graph, or to any graph it reaches, needs a migration first.