From f2db614faffca90b514828cc045dde9be48c6802 Mon Sep 17 00:00:00 2001 From: Sebastiano Tronto Date: Tue, 22 Feb 2022 00:17:33 +0100 Subject: Added website; released 2.0.1 --- www/download/index.html | 190 ++++++++++++++++++++++++++++++++++++++++++++++++ www/examples/index.html | 49 +++++++++++++ www/favicon.png | Bin 0 -> 6550 bytes www/index.html | 93 ++++++++++++++++++++++++ www/screenshot.png | Bin 0 -> 61239 bytes www/style.css | 99 +++++++++++++++++++++++++ 6 files changed, 431 insertions(+) create mode 100644 www/download/index.html create mode 100644 www/examples/index.html create mode 100644 www/favicon.png create mode 100644 www/index.html create mode 100644 www/screenshot.png create mode 100644 www/style.css (limited to 'www') diff --git a/www/download/index.html b/www/download/index.html new file mode 100644 index 0000000..a161371 --- /dev/null +++ b/www/download/index.html @@ -0,0 +1,190 @@ + + + + Download | Nissy + + + + + + + + + +
+ + +

Get Nissy

+ + + + + + + + + + + + +
Source codeWindows executable
Latest versionnissy-2.0.1.tar.gz (63Kb)nissy-2.0.1.exe (770Kb)
+ +

+In this page you can find download links (see above) +and installation instructions (see below) for +nissy. If instead you wish to clone the +git repository, use +

+git clone https://git.tronto.net/nissy
+
+

+ +

+For a summary of changes and a list of older versions see below. Some versions +(for example 1.0) are not available directly, but can be obtained from +the git repository. +

+ +

Installation

+ +

System requirements

+ +

+A full installation of nissy requires about 3Gb of space, +of which 2.3Gb are occupied by the huge pruning table for fast optimal solving, +and running it requires the same amount of RAM. +One can choose to never use this function and not to install the relative +pruning table. There is an alternative (slower) +optimal solving function that uses about 500Mb of RAM. +

+ +

Windows

+ +

+Try downloading and executing in a terminal the file nissy.exe, +then follow the instructions in the Tables section below for +installing the pruning tables. +If nissy.exe does not work, you can try following the UNIX instructions +in WSL (Windows Subsystem for Linux) or in a similar environment. +

+ +

UNIX (Linux, MacOS, *BSD...)

+

+Edit the Makefile to match your local configuration +(this is usually not necessary, but you may want to change the +PREFIX variable to change the installation path) +and run make, followed by make install. +Follow the instructions below to install the pruning tables. + +

Tables

+ + + + + + + + + +
Zip file
Tablesnissy-tables.2.0.zip (63Kb)
+

+Note: the version 2.0 at the end of the file name is +only indicative. Later versionw will use the same tables, unless +otherwise specified. +

+ +

+Nissy needs certain large tables to work. These tables are by default +generated the first time they are needed (e.g the first time you ask to solve a +certain step) and then saved to a file. Whenever these tables are needed again, +nissy simply loads the corresponding file from the hard disk. +

+ +

+The very large table for optimal solving can take some time to generate +(about 1.5 hours on my fairly old but decent laptop, using 8 CPU threads). +In order to generate it you need at least 5Gb of RAM. +All other tables are much faster. +

+ +

+You can ask nissy to generate all the tables it will ever need with the gen +command. It is recommended to use more than one thread, if your CPU has them. +For example, you can run: +

+ +
nissy gen -t 8
+ +

+to generate all tables using 8 threads. You can change 8 to any number +your CPU supports, up to 64. +

+ +

+Alternatively, you can simply download all the tables and copy them into the +correct folder (see manual page, ENVIRONMENT section). On UNIX +operating systems this folder is either .nissy/tables in the +user's home directory or $XDG_DATA_HOME/nissy/tables if the +XDG variable is configured. On Windows it is the same directory as the +nissy.exe executable file. +

+ +

Version history

+ +

Nissy v2

+ + + + + + + + + + + + + + + + + +
VersionDateComment
2.0.12022-02-22Bugfix release
2.02021-12-29Rewritten from scratch; much faster optimal solver
+ +

Nissy v1

+ +

+Nissy v1 was released in 2020. It was slow, full of bugs and the code +was quite terrible. But in practice it got its job done most of the time. +

+ + +
+ + + + + diff --git a/www/examples/index.html b/www/examples/index.html new file mode 100644 index 0000000..2094014 --- /dev/null +++ b/www/examples/index.html @@ -0,0 +1,49 @@ + + + + Examples | Nissy + + + + + + + + + +
+ + +

Examples

+ +(Coming soon...) + +
+ + + + + diff --git a/www/favicon.png b/www/favicon.png new file mode 100644 index 0000000..3ec80a1 Binary files /dev/null and b/www/favicon.png differ diff --git a/www/index.html b/www/index.html new file mode 100644 index 0000000..1844631 --- /dev/null +++ b/www/index.html @@ -0,0 +1,93 @@ + + + + Nissy | Nissy + + + + + + + + + +
+ + +

Nissy

+ +

A Rubik's cube solver and FMC assistant

+ + + +

+Nissy is a command-line Rubik's cube solver. It can find optimal solutions +for random positions using techniques from Herbert Kociemba's +Cube Explorer and +Tomas Rokicki's +nxopt. +With 4 cores at 2.5GHz and using less than 3Gb of RAM, Nissy can find an optimal +solution in about a minute on average. +

+ +

+Nissy aims at being a complete tool +for FMC (Fewest Moves Challenge) practice. It can solve different steps +of Thistlethwaite's algorithm (also know as DR/HTR) and cans use NISS +(Normal-Inverse Scramble Switch). +

+ +

+You should use Nissy if: +

+ + +

+To get started, head to the download page. +

+ +

+You can also see its source code by cloning the git repository +git.tronto.net/nissy +

+ +
+ + + + + diff --git a/www/screenshot.png b/www/screenshot.png new file mode 100644 index 0000000..a73f2fd Binary files /dev/null and b/www/screenshot.png differ diff --git a/www/style.css b/www/style.css new file mode 100644 index 0000000..1487497 --- /dev/null +++ b/www/style.css @@ -0,0 +1,99 @@ +.menu { + width: 100%; +} + +.links { + text-align: right; + font-weight: bold; +} + +.logo img { + width: 50px; + height: 50px; +} + +.footer { + font-style: italic; + width: 100%; +} + +.hosted { + text-align: right; +} + +body { + margin: auto 8px 20px 8px; +} + +img { + display: block; + margin-left: auto; + margin-right: auto; + max-width: 100%; +} + +pre, code { + background-color: #eeeeee; +} + +pre { + border: 2px solid; + padding: 6px; +} + +#blob { + background: #ffffff; + border: none; +} + +a { + color: #0f2899; + text-decoration: none; +} + +.links a { + font-weight: bold; + color: black; +} + +.hosted a, +.contact a { + font-weight: bold; +} + +a:hover { + text-decoration: underline; +} + +html { + margin: 1em auto; + max-width: 42em; +} + +h1 { + text-align: center; +} + +td h1 { + text-align: left; + font-size: 1.5em; +} + +table { + width: 100%; +} + +.url td { + font-family: monospace; +} + +.dltable th, .dltable td { + border: 1px solid black; + padding: 3px; +} + +.subtitle { + text-align: center; + font-weight: bold; + font-size: 1.1em; +} -- cgit v1.3