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For information on how to build older versions of SU2, have a look here. Ittle dew (itch) mac os.

Power button: Press to turn on your Mac or wake it from sleep. Press and hold for 1.5 seconds to put your Mac to sleep. Continue holding to force your Mac to turn off. Option–Command–Power button. or Option–Command–Media Eject: Put your Mac to sleep. This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. Download Mark of the Ninja Remastered for Mac OS: Mark of the Ninja Remastered is an improved version of the stealth action game developed by the canadian Studio Klei Entertainment. In this game you will learn what it means to be a real ninja. To outwit rivals, you need to be silent, clever and savvy. Meson and Ninja. The build system of SU2 is based on a combination of meson (as the front-end) and ninja (as the back-end). Meson is an open source build system meant to be both extremely fast, and, even more importantly, as user friendly as possible. Ninja is a small low-level build system with a focus on speed. CoDiPack and MeDiPack.

Note that the following guide works only on Linux/MacOS and on Windows using Cygwin or the Linux Subsystem.

• Requirements
• Automatically installed dependencies
• Configuration and Compilation
  • Advanced Configuration
• Troubleshooting

Quick Compilation Guide

This is a quick guide to compile and install a basic version of SU2. For more information on the requirements and a more detailed description of the build system continue reading the rest of this page.

Short summary of the minimal requirements:

• C/C++ compiler
• Python 3

Note: all other necessary build tools and dependencies are shipped with the source code or are downloaded automatically.

If you have these tools installed, you can create a configuration using the meson.py found in the root source code folder:

Use ninja to compile and install the code

Requirements

Compilers

Installing SU2 from source requires a C++ compiler. The GNU compilers (gcc/g++) are open-source, widely used, and reliable for building SU2. The Intel compiler set has been optimized to run on Intel hardware and has also been used successfully by the development team to build the source code, though it is commercially licensed. The Apple LLVM compiler (Clang) is also commonly used by the developers.

• GNU gcc / g++
• Intel icc / icpc
• Apple LLVM (clang)

Note: SU2 uses some C++11 features, that means at least GCC >= v4.7, Clang >= v3.0 or Intel C++ >= v12.0 is necessary.

MPI

In order to build SU2 with parallel support, you need a suitable MPI installation on your machine. During the configuration the build tool does a check (using pkg-config) and enables MPI support. If no installation is found, a serial version of SU2 will be compiled.It is possible to force the MPI mode with the meson option -Dcustom-mpi=true, it is then assumed that the compilers and/or the environment variables have the right flags, include directories, and linker arguments.

Note: Problems have been reported with MPICH where the build system does not detect the MPI installation, this can be solved using the meson options -Dcustom-mpi=true -Dextra-deps=mpich. If MPI was installed in a user directory, ensure also that the environment variable PKG_CONFIG_PATH is correctly setup.

Python

SU2 requires Python 3 for compilation and for running the python scripts. Make sure that you have properly set up the python3 executables in your environment.

Optional: swig and mpi4py

If you want to use the python wrapper capabilities, also swig and mpi4py are required. On Linuxswig should be available in the package manager of your distribution and mpi4py can be installed using pip.

On Mac OS X, you can use the Homebrew package manager. Once it is installed on your system, you can install Swig by running:

Install mpi4py with Python pip using easy install:

Automatically installed dependencies

The following dependencies are automatically downloaded (or initialized if source code was cloned using git) during the configuration.

Meson and Ninja

The build system of SU2 is based on a combination of meson (as the front-end) and ninja (as the back-end). Meson is an open source build system meant to be both extremely fast, and, even more importantly, as user friendly as possible. Ninja is a small low-level build system with a focus on speed.

CoDiPack and MeDiPack

In order to use the discrete adjoint solver the compilation requires two additional (header-only) libraries. CoDi provides the AD datatype and MeDi provides the infrastructure for the MPI communication when the reverse mode of AD is used.

Configuration and Compilation

Like mentioned above, SU2 uses meson and ninja for configuration and compilation, respectively. A configuration using meson is generated first and then an invocation of ninja is used to compile SU2 with this configuration.

Basic Configuration

In the root folder of the sources you will find a python script called meson.py. This script generates a configuration. Life in the fast vein mac os. It will also check whether all dependencies are found and downloads some of them if necessary see previous section.

Note: For the following steps you can also use preinstalled versions of meson and ninja available on your machine. Just replace the ./meson.py and ./ninja calls with the binaries of the respective installations. However, this way you have to manually make sure that the correct versions of CoDiPack and MeDiPack are placed in the externals/ folders.

The only required argument for meson.py is a name of a directory where it should store the configuration. You can have multiple configurations in different folders next to each other. To generate a basic configuration that will be stored in the folder build use

Options can be passed to the script to enable or disable different features of SU2. Below you find a list of project options and their default values:

For example to enable AD support pass the option to the meson.py script along with a value:

To set a installation directory for the binaries and python scripts, use the --prefix option, e.g.:

If you are not interested in setting custom compiler flags and other options you can now go directly to the Compilation section, otherwise continue reading the next section.

Advanced Configuration

In general meson appends flags set with the environment variable CXXFLAGS. It is however recommended to use mesons built-in options to set debug mode, warning levels and optimizations. All options can be found here or by using ./meson.py configure. An already created configuration can be modified by using the --reconfigure flag, e.g.:

Note that it is only possible to change one option at once.

Build Type

The debug mode can be enabled by using the --buildtype=debug option. This adds -g flag and disables all compiler optimizations. If you still want to have optimizations, use --buildtype=debugoptimized. The default build type is release.

Compiler optimizations

The optimization level can be set with --optimization=level, where level corresponds to a number between 0 (no optimization) and 3 (highest level of optimizations) which is the default.However, that may not result in optimum performance, for example with the GNU compilers level 2 and the extra flag -funroll-loops results in better performance for most problems.

Some numerical schemes support vectorization (see which ones in the Convective Schemes page), to make the most out of it the compiler needs to be informed of the target CPU architecture, so it knows what 'kind of vectorization' it can generate (256 or 512bit, 128bit being the default).With gcc, clang, and icc this can be done via the -march=?? and -mtune=?? options, where ?? needs to be set appropriately e.g. skylake, ryzen, etc., these flags can be passed to the compiler by setting CXXFLAGS before first running meson (which will print some messages acknowledging the flags).

Warning level

The warning level can be set with --warnlevel=level, where level corresponds to a number between 0 (no warnings) and 3 (highest level of warning output). Level 1 corresponds to -Wall, level 2 to -Wall -Wextra and level 3 to -Wall -Wextra -Wpedantic. The default level is 0.

Note: The warning flags -Wno-unused-parameter, -Wno-empty-body and -Wno-format-security are always added by default.

Linear algebra options

Compiling with support for a BLAS library (-Denable-mkl or -Denable-openblas) is highly recommended if you use the high order finite element solver, or radial basis function (RBF) interpolation in fluid structure interaction problems.Linear solvers and preconditioners can be accelerated with option -Denable-mixedprec=true, which will switch those computations to single precision while all other aspects of SU2 remain in double precision, for fluid simulations this does not reduce accuracy since the solution is iterative. However, large structural FEA problems may be adversely affected.To a lesser extent MKL 2019 is also used to accelerate (~5%) sparse linear algebra operations.-Denable-mkl takes precedence over -Denable-openblas, the system tries to find MKL via pkg-config, if that fails it will then look for MKL in /opt/intel/mkl, this can be changed via option -Dmkl_root.When OpenBLAS support is requested the build system uses pkg-config to search the system for package openblas, option -Dblas-name, if the library was built from source it may be necessary to set the environment variable PKG_CONFIG_PATH.

For large structural FEA problems on highly anisotropic grids iterative linear solvers might fail. Version 7 introduces experimental support for the direct sparse solver PaStiX (-Denable-pastix) see detailed instructions in TestCases/pastix_support/readme.txt.

If the use of BLAS is restricted to RBF interpolation, parallel versions of OpenBLAS can be used, the number of threads will then have to be controlled via the appropriate environment variable (consult the OpenBLAS documentation). Otherwise sequential BLAS should be used.

Note: The BLAS library needs to provide support for LAPACK functions. If this is not the case, the linker will fail with 'undefined reference' errors, this problem can be solved by installing LAPACK and specifying it as an extra dependency when running meson.py using -Dextra-deps=lapack (this uses pkg-config, use commas to separate the names of multiple extra dependencies).

Compilation

Finally to compile and install SU2 use

where build is again a folder with a configuration created using a call to meson.py described in the previous section. By default ninja uses all available cores in your system for the compilation. You can set the number of cores manually by using the -jN flag, where N is the number of cores you want to use.

Setting environment variables

Set the environment variables to use the executables from any directory without explicity specifying the path as described in the installation section.

Troubleshooting

MPI installation is not found

Meson looks for an MPI installation using pkg-config. But if your MPI implementation does not provide them, it will search for the standard wrapper executables, mpic, mpicxx, mpic++. If these are not in your path, they can be specified by setting the standard environment variables MPICC, MPICXX during configuration.

mpi4py library is not found

Meson imports the mpi4py module and searches for the include path. If it is installed in a custom location, make sure to add this path to the PYTHONPATH environment variable prior calling meson.py.

Ninja compiles but fails to install

If building on a cluster that uses a NFS filesystem, ninja may finish the compilation but fail to install with an error such as:

This is a known bug in earlier versions of Python 3. Try upgrading to Python >= 3.7 then rerun ninja.

There are instructions for other platforms linked from the get the code page.

Instructions for Google Employees

Are you a Google employee? See go/building-chrome instead.

System requirements

• A 64-bit Intel Mac running 10.15.4+. (Building on Arm Macs is not yet supported.)

• Xcode 12.2+. This version of Xcode comes with ..

• The macOS 11.0 SDK. Run

  to check whether you have it. Building with a newer SDK usually works too (please fix it if it doesn't), but the releases currently use Xcode 12.2 and the macOS 11.0 SDK.

Install depot_tools

Clone the depot_tools repository:

Add depot_tools to the end of your PATH (you will probably want to put this in your ~/.bash_profile or ~/.zshrc). Assuming you cloned depot_tools to /path/to/depot_tools (note: you must use the absolute path or Python will not be able to find infra tools):

Get the code

Ensure that unicode filenames aren't mangled by HFS:

In System Preferences, check that 'Energy Saver' -> 'Power Adapter' -> 'Prevent computer from sleeping automatically when the display is off' is checked so that your laptop doesn't go to sleep and interrupt the long network connection needed here.

Create a chromium directory for the checkout and change to it (you can call this whatever you like and put it wherever you like, as long as the full path has no spaces):

Run the fetch tool from depot_tools to check out the code and its dependencies.

If you don't need the full repo history, you can save time by using fetch --no-history chromium. You can call git fetch --unshallow to retrieve the full history later.

Expect the command to take 30 minutes on even a fast connection, and many hours on slower ones.

When fetch completes, it will have created a hidden .gclient file and a directory called src in the working directory. The remaining instructions assume you have switched to the src directory:

Optional: You can also install API keys if you want your build to talk to some Google services, but this is not necessary for most development and testing purposes.

Setting up the build

Chromium uses Ninja as its main build tool along with a tool called GN to generate .ninja files. You can create any number of build directories with different configurations. To create a build directory:

• You only have to run this once for each new build directory, Ninja will update the build files as needed.
• You can replace Default with another name, but it should be a subdirectory of out.
• For other build arguments, including release settings, see GN build configuration. The default will be a debug component build matching the current host operating system and CPU.
• For more info on GN, run gn help on the command line or read the quick start guide.
• Building Chromium for arm Macs requires additional setup.

Faster builds

Full rebuilds are about the same speed in Debug and Release, but linking is a lot faster in Release builds.

Put

in your args.gn to do a release build.

Put

in your args.gn to build many small dylibs instead of a single large executable. This makes incremental builds much faster, at the cost of producing a binary that opens less quickly. Component builds work in both debug and release.

Put

in your args.gn to disable debug symbols altogether. This makes both full rebuilds and linking faster (at the cost of not getting symbolized backtraces in gdb).

CCache

You might also want to install ccache to speed up the build.

Build Chromium

Build Chromium (the 'chrome' target) with Ninja using the command:

(autoninja is a wrapper that automatically provides optimal values for the arguments passed to ninja.)

You can get a list of all of the other build targets from GN by running gn ls out/Default from the command line. To compile one, pass the GN label to Ninja with no preceding '//' (so, for //chrome/test:unit_tests use autoninja -C out/Default chrome/test:unit_tests).

Run Chromium

Once it is built, you can simply run the browser:

Avoiding the 'incoming network connections' dialog

Every time you start a new developer build of Chrome you get a system dialog asking 'Do you want the application Chromium.app to accept incoming network connections?' - to avoid this, run with this command-line flag:

--disable-features='MediaRouter'

Running test targets

You can run the tests in the same way. You can also limit which tests are run using the --gtest_filter arg, e.g.:

You can find out more about GoogleTest at its GitHub page.

Note: The BLAS library needs to provide support for LAPACK functions. If this is not the case, the linker will fail with 'undefined reference' errors, this problem can be solved by installing LAPACK and specifying it as an extra dependency when running meson.py using -Dextra-deps=lapack (this uses pkg-config, use commas to separate the names of multiple extra dependencies).

Compilation

Finally to compile and install SU2 use

where build is again a folder with a configuration created using a call to meson.py described in the previous section. By default ninja uses all available cores in your system for the compilation. You can set the number of cores manually by using the -jN flag, where N is the number of cores you want to use.

Setting environment variables

Set the environment variables to use the executables from any directory without explicity specifying the path as described in the installation section.

Troubleshooting

MPI installation is not found

Meson looks for an MPI installation using pkg-config. But if your MPI implementation does not provide them, it will search for the standard wrapper executables, mpic, mpicxx, mpic++. If these are not in your path, they can be specified by setting the standard environment variables MPICC, MPICXX during configuration.

mpi4py library is not found

Meson imports the mpi4py module and searches for the include path. If it is installed in a custom location, make sure to add this path to the PYTHONPATH environment variable prior calling meson.py.

Ninja compiles but fails to install

If building on a cluster that uses a NFS filesystem, ninja may finish the compilation but fail to install with an error such as:

This is a known bug in earlier versions of Python 3. Try upgrading to Python >= 3.7 then rerun ninja.

There are instructions for other platforms linked from the get the code page.

Instructions for Google Employees

Are you a Google employee? See go/building-chrome instead.

System requirements

• A 64-bit Intel Mac running 10.15.4+. (Building on Arm Macs is not yet supported.)

• Xcode 12.2+. This version of Xcode comes with ..

• The macOS 11.0 SDK. Run

  to check whether you have it. Building with a newer SDK usually works too (please fix it if it doesn't), but the releases currently use Xcode 12.2 and the macOS 11.0 SDK.

Install depot_tools

Clone the depot_tools repository:

Add depot_tools to the end of your PATH (you will probably want to put this in your ~/.bash_profile or ~/.zshrc). Assuming you cloned depot_tools to /path/to/depot_tools (note: you must use the absolute path or Python will not be able to find infra tools):

Get the code

Ensure that unicode filenames aren't mangled by HFS:

In System Preferences, check that 'Energy Saver' -> 'Power Adapter' -> 'Prevent computer from sleeping automatically when the display is off' is checked so that your laptop doesn't go to sleep and interrupt the long network connection needed here.

Create a chromium directory for the checkout and change to it (you can call this whatever you like and put it wherever you like, as long as the full path has no spaces):

Run the fetch tool from depot_tools to check out the code and its dependencies.

If you don't need the full repo history, you can save time by using fetch --no-history chromium. You can call git fetch --unshallow to retrieve the full history later.

Expect the command to take 30 minutes on even a fast connection, and many hours on slower ones.

When fetch completes, it will have created a hidden .gclient file and a directory called src in the working directory. The remaining instructions assume you have switched to the src directory:

Optional: You can also install API keys if you want your build to talk to some Google services, but this is not necessary for most development and testing purposes.

Setting up the build

Chromium uses Ninja as its main build tool along with a tool called GN to generate .ninja files. You can create any number of build directories with different configurations. To create a build directory:

• You only have to run this once for each new build directory, Ninja will update the build files as needed.
• You can replace Default with another name, but it should be a subdirectory of out.
• For other build arguments, including release settings, see GN build configuration. The default will be a debug component build matching the current host operating system and CPU.
• For more info on GN, run gn help on the command line or read the quick start guide.
• Building Chromium for arm Macs requires additional setup.

Faster builds

Full rebuilds are about the same speed in Debug and Release, but linking is a lot faster in Release builds.

Put

in your args.gn to do a release build.

Put

in your args.gn to build many small dylibs instead of a single large executable. This makes incremental builds much faster, at the cost of producing a binary that opens less quickly. Component builds work in both debug and release.

Put

in your args.gn to disable debug symbols altogether. This makes both full rebuilds and linking faster (at the cost of not getting symbolized backtraces in gdb).

CCache

You might also want to install ccache to speed up the build.

Build Chromium

Build Chromium (the 'chrome' target) with Ninja using the command:

(autoninja is a wrapper that automatically provides optimal values for the arguments passed to ninja.)

You can get a list of all of the other build targets from GN by running gn ls out/Default from the command line. To compile one, pass the GN label to Ninja with no preceding '//' (so, for //chrome/test:unit_tests use autoninja -C out/Default chrome/test:unit_tests).

Run Chromium

Once it is built, you can simply run the browser:

Avoiding the 'incoming network connections' dialog

Every time you start a new developer build of Chrome you get a system dialog asking 'Do you want the application Chromium.app to accept incoming network connections?' - to avoid this, run with this command-line flag:

--disable-features='MediaRouter'

Running test targets

You can run the tests in the same way. You can also limit which tests are run using the --gtest_filter arg, e.g.:

You can find out more about GoogleTest at its GitHub page.

Debugging

Good debugging tips can be found here.

Update your checkout

To update an existing checkout, you can run

The first command updates the primary Chromium source repository and rebases any of your local branches on top of tip-of-tree (aka the Git branch origin/master). If you don't want to use this script, you can also just use git pull or other common Git commands to update the repo.

Call Of The Ninja Mac Os Download

The second command syncs dependencies to the appropriate versions and re-runs hooks as needed.

Tips, tricks, and troubleshooting

Using Xcode-Ninja Hybrid

Call Of The Ninja Mac Os Update

While using Xcode is unsupported, GN supports a hybrid approach of using Ninja for building, but Xcode for editing and driving compilation. Xcode is still slow, but it runs fairly well even with indexing enabled. Most people build in the Terminal and write code with a text editor, though.

With hybrid builds, compilation is still handled by Ninja, and can be run from the command line (e.g. autoninja -C out/gn chrome) or by choosing the chrome target in the hybrid project and choosing Build.

To use Xcode-Ninja Hybrid pass --ide=xcode to gn gen:

Open it:

You may run into a problem where http://YES is opened as a new tab every time you launch Chrome. To fix this, open the scheme editor for the Run scheme, choose the Options tab, and uncheck 'Allow debugging when using document Versions Browser'. When this option is checked, Xcode adds --NSDocumentRevisionsDebugMode YES to the launch arguments, and the YES gets interpreted as a URL to open.

If you have problems building, join us in #chromium on irc.freenode.net and ask there. Be sure that the waterfall is green and the tree is open before checking out. This will increase your chances of success.

Improving performance of git status

Increase the vnode cache size

git status is used frequently to determine the status of your checkout. Due to the large number of files in Chromium‘s checkout, git status performance can be quite variable. Increasing the system's vnode cache appears to help. By default, this command:

Outputs kern.maxvnodes: 263168 (263168 is 257 * 1024). To increase this setting:

Higher values may be appropriate if you routinely move between different Chromium checkouts. This setting will reset on reboot, the startup setting can be set in /etc/sysctl.conf:

Or edit the file directly.

Configure git to use an untracked cache

If git --version reports 2.8 or higher, try running

If the output ends with OK, then the following may also improve performance of git status:

If git --version reports 2.6 or higher, but below 2.8, you can instead run

Call Of The Ninja Mac Os Download

Xcode license agreement

If you're getting the error

Agreeing to the Xcode/iOS license requires admin privileges, please re-run as root via sudo.

Mini Ninjas Mac

the Xcode license hasn't been accepted yet which (contrary to the message) any user can do by running:

Call Of The Ninja Mac Os Catalina

Only accepting for all users of the machine requires root: