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Update README.md and add CONTRIBUTING.md

- update supported CPU architectures
- update build instructions
- move contributing to a dedicated page
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# Contributing
## Testing
After any change to the detection routines or match tables, it's always
a good idea to run `make test`. If some test fails, and you're confident
that the test is wrong and needs fixing, run `make fix-tests`.
You can also add a new test (which is basically a file containing
the raw CPUID data and the expected decoded items) by using
`tests/create_test.py`. The workflow there is as follows:
1. Run "cpuid_tool" with no arguments. It will tell you that it
has written a pair of files, raw.txt and report.txt. Ensure
that report.txt contains meaningful data.
2. Run "tests/create_test.py raw.txt report.txt > «my-cpu».test"
3. Use a proper descriptive name for the test (look into tests/amd
and tests/intel to get an idea) and copy your test file to an
appropriate place within the tests directory hierarchy.
AIDA64 CPUID dumps (mostly found on [InstLatx64](http://instlatx64.atw.hu/)) are also supported.
To create a new test based on a AIDA64 CPUID dump, you can do:
```shell
cpuid_tool --load=aida64_raw.txt --outfile=report.txt --report
./tests/create_test.py aida64_raw.txt report.txt > tests/xxx/yyy/my-cpu.test
```
For non-developers, who still want to contribute tests for the project,
use [this page](http://libcpuid.sourceforge.net/bugreport.php) to report
misdetections or new CPUs that libcpuid doesn't handle well yet.

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Readme.md
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libcpuid
========
# libcpuid
libcpuid provides CPU identification. Supported CPU architectures are:
- x86:
- 32-bit CPUs (IA-32, also known as i386, i486, i586 and i686)
- 64-bit CPUs (x86_64, also known as x64, x86_64, AMD64, and Intel 64)
- ARM:
- 64-bit CPUs (ARM64, also known as AArch64)
libcpuid provides CPU identification for the x86 (and x86_64).
For details about the programming API, you might want to
take a look at the project's website on sourceforge
(http://libcpuid.sourceforge.net/). There you'd find a short
[tutorial](http://libcpuid.sf.net/documentation.html), as well
as the full [API reference](http://libcpuid.sf.net/doxy).
Configuring after checkout
--------------------------
## Getting started
Under Linux, where you download the sources, there's no
You have two ways to get libcpuid:
- build it from sources
- download a pre-compiled binary
### Sources
#### Prerequisites
Using libcpuid requires no dependencies on any of the supported OSes.
Building it requires build tool commands to be available,
which is a matter of installing a few common packages
with related names (e.g. automake, autoconf, libtool, cmake).
It also requires a POSIX-compatible shell. On NetBSD, you may need
to install one (credits to @brucelilly):
1. Install a POSIX-compatible shell such as ksh93
```shell
pkg_add ast-ksh || pkgin in ast-ksh
```
2. Export `CONFIG_SHELL` with correct path if required:
```shell
export CONFIG_SHELL=/usr/pkg/bin/ksh93
```
#### Configuring after checkout
Two build systems are supported, use the one you prefer.
##### By using autotools
Under POSIX systems, where you download the sources, there's no
configure script to run. This is because it isn't a good practice to keep
such scripts in a source control system. To create it, you need to run the
following commands once, after you checkout the libcpuid sources
from github:
1. run "libtoolize"
2. run "autoreconf --install"
from GitHub:
```shell
libtoolize
autoreconf --install
```
You need to have `autoconf`, `automake` and `libtool` installed.
@ -28,67 +63,16 @@ the library.
`make dist` will create a tarball (with "configure" inside) with the
sources.
Prerequisites
-------------
##### By using CMake
Using libcpuid requires no dependencies on any of the supported OSes.
Building it requires the aforementioned libtool and autotools commands
to be available, which is a matter of installing a few common packages
with related names (e.g. automake, autoconf, libtool).
It also requires a POSIX-compatible shell. On NetBSD, you may need
to install one (credits to @brucelilly):
1. Install a POSIX-compatible shell such as ksh93
(pkg_add ast-ksh || pkgin in ast-ksh)
2. export CONFIG_SHELL=/usr/pkg/bin/ksh93 (substitute the
correct path if required)
3. Follow the regular Linux instructions
Testing
-------
After any change to the detection routines or match tables, it's always
a good idea to run `make test`. If some test fails, and you're confident
that the test is wrong and needs fixing, run `make fix-tests`.
You can also add a new test (which is basically a file containing
the raw CPUID data and the expected decoded items) by using
`tests/create_test.py`. The workflow there is as follows:
1. Run "cpuid_tool" with no arguments. It will tell you that it
has written a pair of files, raw.txt and report.txt. Ensure
that report.txt contains meaningful data.
2. Run "tests/create_test.py raw.txt report.txt > «my-cpu».test"
3. Use a proper descriptive name for the test (look into tests/amd
and tests/intel to get an idea) and copy your test file to an
appropriate place within the tests directory hierarchy.
AIDA64 CPUID dumps (mostly found on [InstLatx64](http://instlatx64.atw.hu/)) are also supported.
To create a new test based on a AIDA64 CPUID dump, you can do:
```sh
cpuid_tool --load=aida64_raw.txt --outfile=report.txt --report
./tests/create_test.py aida64_raw.txt report.txt > tests/xxx/yyy/my-cpu.test
Basic example to build and install libcpuid by using CMake:
```shell
cmake -S . -B build -DCMAKE_BUILD_TYPE=RelWithDebInfo
cmake --build build
cmake --install build # may need administrative privileges, install under /usr/local by default
```
For non-developers, who still want to contribute tests for the project,
use [this page](http://libcpuid.sourceforge.net/bugreport.php) to report
misdetections or new CPUs that libcpuid doesn't handle well yet.
Users
-----
So far, I'm aware of the following projects which utilize libcpuid (listed alphabetically):
* CPU-X (https://github.com/TheTumultuousUnicornOfDarkness/CPU-X)
* fre:ac (https://www.freac.org/)
* I-Nex (https://github.com/i-nex/I-Nex)
* Multiprecision Computing Toolbox for MATLAB (https://www.advanpix.com/)
* ucbench (http://anrieff.net/ucbench)
We'd love to hear from you if you are also using libcpuid and want your project listed above.
Downloads
---------
### Downloads
You can find latest versioned archives [here](https://github.com/anrieff/libcpuid/releases/latest), with binaries for macOS and Windows.
@ -111,3 +95,19 @@ Below, the full lists of repositories:
#### Build tool
* Vcpkg: `vcpkg install cpuid`
## Contributing
Refer to the [dedicated page](CONTRIBUTING.md).
## Users
So far, I'm aware of the following projects which utilize libcpuid (listed alphabetically):
* CPU-X (https://github.com/TheTumultuousUnicornOfDarkness/CPU-X)
* fre:ac (https://www.freac.org/)
* I-Nex (https://github.com/i-nex/I-Nex)
* Multiprecision Computing Toolbox for MATLAB (https://www.advanpix.com/)
* ucbench (http://anrieff.net/ucbench)
We'd love to hear from you if you are also using libcpuid and want your project listed above.