leo/examples/hackers-delight/ntzsmallvals
Collin Chin d44457fc32
[Feature] Implement leo execute (#2491)
* bump snarkvm rev

* update default gitignore

* impl leo execute

* bump snarkvm 0.14.5

* modify examples wip

* update run.sh examples

* impl env file

* clippy warning

* fix auction example

* fix auction example env

* generate new private key for new env - tests failing due to env not found err

* commit error changes

* Fix tests; clippy

* Get examples working

* leo build checks that build dir is well formed; clippy

* Clean up

* Update examples/README.md

Co-authored-by: d0cd <pranavsaig@gmail.com>
Signed-off-by: Collin Chin <16715212+collinc97@users.noreply.github.com>

* do not commit .avm files

* use snarkvm commands

---------

Signed-off-by: Collin Chin <16715212+collinc97@users.noreply.github.com>
Co-authored-by: Pranav Gaddamadugu <pranav@aleo.org>
Co-authored-by: d0cd <pranavsaig@gmail.com>
2023-07-19 18:04:09 -07:00
..
build [Feature] Implement leo execute (#2491) 2023-07-19 18:04:09 -07:00
inputs Reorganize hackers delight examples 2022-09-13 17:22:01 +02:00
src More examples 2022-10-06 00:17:51 -07:00
.env [Feature] Implement leo execute (#2491) 2023-07-19 18:04:09 -07:00
.gitignore [Feature] Implement leo execute (#2491) 2023-07-19 18:04:09 -07:00
program.json [Feature] Implement leo execute (#2491) 2023-07-19 18:04:09 -07:00
README.md Reorganize hackers delight examples 2022-09-13 17:22:01 +02:00

src/ntzsmallvals.leo

Build Guide

To compile and run this Leo program, run:

leo run

The Algorithm

This algorithm is mentioned in "Hacker's Delight, 2nd edition" by Henry S. Warren, section 5-4, section 5-4, figure 5-21.

It is similar to the algorithm described in the ntzmasks example (figure 5-20 in the book) in that it uses binary search to find the number of trailing zeros. However, instead of using masks to select the lower N bits, it shifts x left (discarding high bits) into another variable y to check if the result is nonzero, and it counts down from 31 instead of up from 1. Another difference is that the constant values is this algorithm are smaller, so it is easier to read.