Adding upstream version 86.0.1.upstream/86.0.1upstream

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

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+# Spidermonkey JSAPI rooting analysis
+
+This directory contains scripts for running Brian Hackett's static GC rooting
+and thread heap write safety analyses on a JS source directory.
+
+To run the analysis on SpiderMonkey:
+
+1. Install prerequisites.
+
+        mach hazards bootstrap
+
+2. Build the shell to run the analysis.
+
+        mach hazards build-shell
+
+3. Compile all the code to gather info.
+
+        mach hazards gather --application=js
+
+4. Analyze the gathered info.
+
+        mach hazards analyze --application=js
+
+Output goes to `haz-js/hazards.txt`. This will run the analysis on the js/src
+tree only; if you wish to analyze the full browser, use
+
+        --application=browser
+
+(or leave it off; `--application=browser` is the default)
+
+After running the analysis once, you can reuse the `*.xdb` database files
+generated, using modified analysis scripts, by running either the `mach hazards
+analyze` command above, or with `haz-js/run-analysis.sh` (pass `--list` to see
+ways to select even more restrictive parts of the overall analysis; the default
+is `gcTypes` which will do everything but regenerate the xdb files).
+
+Also, you can pass `-v` to get exact command lines to cut & paste for running
+the various stages, which is helpful for running under a debugger.
+
+## Overview of what is going on here
+
+So what does this actually do?
+
+1.  It downloads a GCC compiler and plugin ("sixgill") from Mozilla servers.
+
+2. It runs `run_complete`, a script that builds the target codebase with the
+    downloaded GCC, generating a few database files containing control flow
+    graphs of the full compile, along with type information etc.
+
+3.  Then it runs `analyze.py`, a Python script, which runs all the scripts
+    which actually perform the analysis -- the tricky parts.
+    (Those scripts are written in JS.)
+
+The easiest way to get this running is to not try to do the instrumented
+compilation locally. Instead, grab the relevant files from a try server push
+and analyze them locally.
+
+## Local Analysis of Downloaded Intermediate Files
+
+Another useful path is to let the continuous integration system do the hard
+work of generating the intermediate files and analyze them locally. This is
+particularly useful if you are working on the analysis itself.
+
+1. Do a try push with "--upload-xdbs" appended to the try: ..." line.
+
+    mach try fuzzy -q "'haz" --upload-xdbs
+
+2. Create an empty directory to run the analysis.
+
+3. When the try job is complete, download the resulting src_body.xdb.bz2, src_comp.xdb.bz2,
+and file_source.xdb.bz2 files into your directory.
+
+4. Fetch a compiler and sixgill plugin to use:
+
+    mach hazards bootstrap
+
+If you are on osx, these will not be available. Instead, build sixgill manually
+(these directions are a little stale):
+
+    hg clone https://hg.mozilla.org/users/sfink_mozilla.com/sixgill
+    cd sixgill
+    CC=$HOME/.mozbuild/hazard-tools/gcc/bin/gcc ./release.sh --build # This will fail horribly.
+    make bin/xdb.so CXX=clang++
+
+5. Build an optimized JS shell with ctypes. Note that this does not need to
+match the source you are analyzing in any way; in fact, you pretty much never
+need to update this once you've built it. (Though I reserve the right to use
+any new JS features implemented in Spidermonkey in the future...)
+
+    mach hazards build-shell
+
+The shell will be placed by default in $topsrcdir/obj-haz-shell.
+
+6. Make a defaults.py file containing the following, with your own paths filled in:
+
+    js = "<objdir>/dist/bin/js"
+    sixgill_bin = "<sixgill-dir>/bin"
+
+7a. For the rooting analysis, run
+
+    python <srcdir>/js/src/devtools/rootAnalysis/analyze.py gcTypes
+
+7b. For the heap write analysis, run
+
+    python <srcdir>/js/src/devtools/rootAnalysis/analyze.py heapwrites
+
+Also, you may wish to run with -v (aka --verbose) to see the exact commands
+executed that you can cut & paste if needed. (I use them to run under the JS
+debugger when I'm working on the analysis.)