Stephen Gutekanst 2bd10f4db9 std: have Builder use response files if zig build args exceed OS limits
In Mach engine we're seeing command line arguments to `zig build-lib`
exceed the 32 KiB limit that Windows imposes, due to the number of
sources and compiler flags we must pass in order to build gpu-dawn.

This change fixes the issue by having `Builder` check if the arguments
to a `zig build-*` command are >30 KiB and, if so, writes the arguments
to a file `zig-cache/args/<SHA2 of args>`. Then the command invocation
merely becomes `zig build-lib @<that file>`.

Fixes #10693

Fixes hexops/mach#167

Signed-off-by: Stephen Gutekanst <stephen@hexops.com>
2022-02-20 14:44:39 -07:00
2021-10-01 16:07:42 -07:00
2022-02-16 18:43:45 -07:00
2021-06-25 12:46:23 +03:00
2022-01-19 14:29:55 -05:00
Y++
2021-12-31 19:58:21 -05:00
2022-01-03 17:45:09 -07:00

ZIG

A general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.

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The ultimate goal of the Zig project is to serve users. As a first-order effect, this means users of the compiler, helping programmers to write better software. Even more important, however, are the end-users.

Zig is intended to be used to help end-users accomplish their goals. Zig should be used to empower end-users, never to exploit them financially, or to limit their freedom to interact with hardware or software in any way.

However, such problems are best solved with social norms, not with software licenses. Any attempt to complicate the software license of Zig would risk compromising the value Zig provides.

Therefore, Zig is available under the MIT (Expat) License, and comes with a humble request: use it to make software better serve the needs of end-users.

This project redistributes code from other projects, some of which have other licenses besides MIT. Such licenses are generally similar to the MIT license for practical purposes. See the subdirectories and files inside lib/ for more details.

Description
General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
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