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| author | Tejun Heo <tj@kernel.org> | 2026-09-14 22:12:34 -1000 |
|---|---|---|
| committer | Tejun Heo <tj@kernel.org> | 2026-09-15 06:57:20 -1000 |
| commit | a9e3760b0838299649c0d57cca44daaf40ba3c33 (patch) | |
| tree | 95807ff0e511c05602ef34808cfc660303309057 /Documentation/sphinx/parser_yaml.py | |
| download | linux-stable-a9e3760b0838299649c0d57cca44daaf40ba3c33.tar.gz linux-stable-a9e3760b0838299649c0d57cca44daaf40ba3c33.zip | |
sched_ext: Maintain an online cid mask in the scheduler arenagrafted
Schedulers on the default cid mapping treat [0, nr_online_cids) as the
online set and restart on hotplug. Schedulers that install their own mapping
with scx_bpf_cid_override() have no way to learn which cids are online: the
count no longer identifies members and the CPU-form cpumask is unusable from
cid programs. This is an obvious hole in the cid API.
Add scx_bpf_online_cmask(), a kernel-maintained cmask in the scheduler's
arena, allocated alongside the per-CPU scratch masks and populated after the
cid mapping is finalized and before ops.init(), for child schedulers too.
The pointer stays valid through ops.exit() with no reference to take. It is
the arena offset as a void pointer, the same form struct_ops arena arguments
arrive in. The verifier types the void return as a scalar for the program's
arena cast.
The mask follows the SCX hotplug notifications: seeded from cpu_active_mask
and updated before ops.cid_online/offline() runs, so it lags cpu_online_mask
only inside a hotplug transition. Updates walk the scheduler list under the
lock that also serializes unlinking. Reads are live, not atomic snapshots.
Root initialization excludes hotplug.
v2: Reworded the getter kerneldoc (Andrea Righi).
Signed-off-by: Tejun Heo <tj@kernel.org>
Reviewed-by: Andrea Righi <arighi@nvidia.com>
Diffstat (limited to 'Documentation/sphinx/parser_yaml.py')
| -rwxr-xr-x | Documentation/sphinx/parser_yaml.py | 123 |
1 files changed, 123 insertions, 0 deletions
diff --git a/Documentation/sphinx/parser_yaml.py b/Documentation/sphinx/parser_yaml.py new file mode 100755 index 000000000..634d84a20 --- /dev/null +++ b/Documentation/sphinx/parser_yaml.py @@ -0,0 +1,123 @@ +# SPDX-License-Identifier: GPL-2.0 +# Copyright 2025 Mauro Carvalho Chehab <mchehab+huawei@kernel.org> + +""" +Sphinx extension for processing YAML files +""" + +import os +import re +import sys + +from pprint import pformat + +from docutils import statemachine +from docutils.parsers.rst import Parser as RSTParser +from docutils.parsers.rst import states +from docutils.statemachine import ViewList + +from sphinx.util import logging +from sphinx.parsers import Parser + +srctree = os.path.abspath(os.environ["srctree"]) +sys.path.insert(0, os.path.join(srctree, "tools/net/ynl/pyynl/lib")) + +from doc_generator import YnlDocGenerator # pylint: disable=C0413 + +logger = logging.getLogger(__name__) + +class YamlParser(Parser): + """ + Kernel parser for YAML files. + + This is a simple sphinx.Parser to handle yaml files inside the + Kernel tree that will be part of the built documentation. + + The actual parser function is not contained here: the code was + written in a way that parsing yaml for different subsystems + can be done from a single dispatcher. + + All it takes to have parse YAML patches is to have an import line: + + from some_parser_code import NewYamlGenerator + + To this module. Then add an instance of the parser with: + + new_parser = NewYamlGenerator() + + and add a logic inside parse() to handle it based on the path, + like this: + + if "/foo" in fname: + msg = self.new_parser.parse_yaml_file(fname) + """ + + supported = ('yaml', ) + + netlink_parser = YnlDocGenerator() + + re_lineno = re.compile(r"\.\. LINENO ([0-9]+)$") + + tab_width = 8 + + def rst_parse(self, inputstring, document, msg): + """ + Receives a ReST content that was previously converted by the + YAML parser, adding it to the document tree. + """ + + self.setup_parse(inputstring, document) + + result = ViewList() + + self.statemachine = states.RSTStateMachine(state_classes=states.state_classes, + initial_state='Body', + debug=document.reporter.debug_flag) + + try: + # Parse message with RSTParser + lineoffset = 0; + + lines = statemachine.string2lines(msg, self.tab_width, + convert_whitespace=True) + + for line in lines: + match = self.re_lineno.match(line) + if match: + lineoffset = int(match.group(1)) + continue + + result.append(line, document.current_source, lineoffset) + + self.statemachine.run(result, document) + + except Exception as e: + document.reporter.error("YAML parsing error: %s" % pformat(e)) + + self.finish_parse() + + # Overrides docutils.parsers.Parser. See sphinx.parsers.RSTParser + def parse(self, inputstring, document): + """Check if a YAML is meant to be parsed.""" + + fname = document.current_source + + # Handle netlink yaml specs + if "/netlink/specs/" in fname: + msg = self.netlink_parser.parse_yaml_file(fname) + self.rst_parse(inputstring, document, msg) + + # All other yaml files are ignored + +def setup(app): + """Setup function for the Sphinx extension.""" + + # Add YAML parser + app.add_source_parser(YamlParser) + app.add_source_suffix('.yaml', 'yaml') + + return { + 'version': '1.0', + 'parallel_read_safe': True, + 'parallel_write_safe': True, + } |
