Metrics for ln(1 + x)

start0.0ms (0%)

Memory: 0.0MiB live, 0.0MiB allocated

analyze1.0ms (0.2%)

Memory

0.3MiB live, 0.3MiB allocated

Algorithm

1×

Search

Probability	Valid	Unknown	Precondition	Infinite	Domain	Can't	Iter
0%	0%	100%	0%	0%	0%	0%	0
0%	0%	100%	0%	0%	0%	0%	1
50%	50%	50%	0%	0%	0%	0%	2
66.7%	50%	25%	0%	0%	25%	0%	3
83.3%	62.5%	12.5%	0%	0%	25%	0%	4
91.7%	68.7%	6.2%	0%	0%	25%	0%	5
95.8%	71.8%	3.1%	0%	0%	25%	0%	6
97.9%	73.4%	1.6%	0%	0%	25%	0%	7
99%	74.2%	0.8%	0%	0%	25%	0%	8
99.5%	74.6%	0.4%	0%	0%	25%	0%	9
99.7%	74.8%	0.2%	0%	0%	25%	0%	10
99.9%	74.9%	0.1%	0%	0%	25%	0%	11
99.9%	74.9%	0%	0%	0%	25%	0%	12

Compiler

Compiled 6 to 4 computations (33.3% saved)

sample11.0ms (1.9%)

Memory

4.0MiB live, 4.0MiB allocated

Samples

6.0ms

260×

valid

Precisions

Click to see histograms. Total time spent on operations: 2.0ms

ival-log1p: 2.0ms (83.7% of total)

ival-true: 0.0ms (0% of total)

adjust: 0.0ms (0% of total)

ival-assert: 0.0ms (0% of total)

Bogosity

explain523.0ms (91.8%)

Memory

5.1MiB live, 264.5MiB allocated

FPErrors

Click to see full error table

Ground Truth	Example	Example	Subexpression
178	-	-	`(log.f64 (+.f64 #s(literal 1 binary64) x))`
0	-	-	`(+.f64 #s(literal 1 binary64) x)`
0	-	-	`#s(literal 1 binary64)`
0	-	-	`x`

Explanations

Click to see full explanations table

Operator	Subexpression	Explanation	Count
`log.f64`	`(log.f64 (+.f64 #s(literal 1 binary64) x))`	sensitivity	178	0

Confusion

	Predicted +	Predicted -
+	178	0
-	0	78

Precision

1.0

Recall

1.0

Confusion?

	Predicted +	Predicted Maybe	Predicted -
+	178	0	0
-	0	0	78

Precision?

1.0

Recall?

1.0

Freqs

test

number	freq
0	78
1	178

Total Confusion?

	Predicted +	Predicted Maybe	Predicted -
+	1	0	0
-	0	0	0

Precision?

1.0

Recall?

1.0

Total Time

10.51416015625

Average Time

0.04107093811035156

Samples

208.0ms

6 144×

valid

Compiler

Compiled 420 to 240 computations (42.9% saved)

Precisions

Click to see histograms. Total time spent on operations: 95.0ms

ival-log1p: 51.0ms (53.9% of total)

ival-add: 32.0ms (33.8% of total)

ival-true: 4.0ms (4.2% of total)

exact: 3.0ms (3.2% of total)

adjust: 2.0ms (2.1% of total)

ival-assert: 2.0ms (2.1% of total)

preprocess11.0ms (2%)

Memory

-2.4MiB live, 5.0MiB allocated

Algorithm

1×	egg-herbie

Iterations

Useful iterations: 0 (0.0ms)

Iter	Nodes	Cost
0	6	9
1	15	9
2	22	9
3	30	9
4	40	9
5	53	9
6	66	9
7	69	9
0	4	4
0	6	4
1	9	4
0	9	2

Stop Event

1×	iter limit
1×	saturated
1×	iter limit
1×	saturated

Calls

Call 1

Inputs
(log.f64 (+.f64 #s(literal 1 binary64) x))

Outputs
(log.f64 (+.f64 #s(literal 1 binary64) x))
(log1p.f64 x)

Compiler

Compiled 4 to 4 computations (0% saved)

eval0.0ms (0%)

Memory: 0.0MiB live, 0.0MiB allocated
Compiler: Compiled 0 to 1 computations (-∞% saved)

prune1.0ms (0.1%)

Memory

0.4MiB live, 0.4MiB allocated

Alt Table

Click to see full alt table

Status	Accuracy	Program
	36.0%	(log.f64 (+.f64 #s(literal 1 binary64) x))

Compiler

Compiled 8 to 8 computations (0% saved)

simplify20.0ms (3.6%)

Memory

2.0MiB live, 17.8MiB allocated

Algorithm

1×	egg-herbie

Iterations

Useful iterations: 0 (0.0ms)

Iter	Nodes	Cost
0	4	4
1	8	4

Stop Event

1×

saturated

Calls

Call 1

Inputs
(log.f64 (+.f64 #s(literal 1 binary64) x))

Outputs
(log.f64 (+.f64 #s(literal 1 binary64) x))
(log.f64 (+.f64 x #s(literal 1 binary64)))

soundness0.0ms (0%)

Memory

0.2MiB live, 0.2MiB allocated

Stop Event

1×

fuel

Compiler

Compiled 4 to 4 computations (0% saved)

preprocess2.0ms (0.4%)

Memory: -8.2MiB live, 1.2MiB allocated
Compiler: Compiled 54 to 34 computations (37% saved)

end0.0ms (0%)

Memory: 0.0MiB live, 0.0MiB allocated

start0.0ms (0%)

analyze1.0ms (0.2%)

sample11.0ms (1.9%)

explain523.0ms (91.8%)

preprocess11.0ms (2%)

eval0.0ms (0%)

prune1.0ms (0.1%)

simplify20.0ms (3.6%)

soundness0.0ms (0%)

preprocess2.0ms (0.4%)

end0.0ms (0%)

Profiling