scripts: Import Python kerneldoc from Linux kernel

We last synced our copy of kerneldoc with Linux back in 2020.  In the
interim, upstream has entirely rewritten the script in Python, and
the new Python version is split into a main script plus some
libraries in the kernel's scripts/lib/kdoc.

Import all these files.  These are the versions as of kernel commit
0cc53520e68be, with no local changes.

We use the same lib/kdoc/ directory as the kernel does here, so we
can avoid having to edit the top-level script just to adjust a
pathname, even though it is probably not the naming we would have
picked if this was a purely QEMU script.

The Sphinx conf.py still points at the Perl version of the script,
so this Python code will not be invoked to build the docs yet.

NB: checkpatch complains about many things in this commit,
including the use of "GPL-2.0" rather than "GPL-2.0-only" in
the SPDX tags, but since this is a third party import we can
ignore this.

Signed-off-by: Peter Maydell <peter.maydell@linaro.org>
Reviewed-by: Paolo Bonzini <pbonzini@redhat.com>
Reviewed-by: Mauro Carvalho Chehab <mchehab+huawei@kernel.org>
Message-id: 20250814171324.1614516-4-peter.maydell@linaro.org

1 files changed, 270 insertions, 0 deletions

diff --git a/scripts/lib/kdoc/kdoc_re.py b/scripts/lib/kdoc/kdoc_re.py
new file mode 100644
index 0000000..612223e
--- /dev/null
+++ b/scripts/lib/kdoc/kdoc_re.py
@@ -0,0 +1,270 @@
+#!/usr/bin/env python3
+# SPDX-License-Identifier: GPL-2.0
+# Copyright(c) 2025: Mauro Carvalho Chehab <mchehab@kernel.org>.
+
+"""
+Regular expression ancillary classes.
+
+Those help caching regular expressions and do matching for kernel-doc.
+"""
+
+import re
+
+# Local cache for regular expressions
+re_cache = {}
+
+
+class KernRe:
+    """
+    Helper class to simplify regex declaration and usage,
+
+    It calls re.compile for a given pattern. It also allows adding
+    regular expressions and define sub at class init time.
+
+    Regular expressions can be cached via an argument, helping to speedup
+    searches.
+    """
+
+    def _add_regex(self, string, flags):
+        """
+        Adds a new regex or re-use it from the cache.
+        """
+        self.regex = re_cache.get(string, None)
+        if not self.regex:
+            self.regex = re.compile(string, flags=flags)
+            if self.cache:
+                re_cache[string] = self.regex
+
+    def __init__(self, string, cache=True, flags=0):
+        """
+        Compile a regular expression and initialize internal vars.
+        """
+
+        self.cache = cache
+        self.last_match = None
+
+        self._add_regex(string, flags)
+
+    def __str__(self):
+        """
+        Return the regular expression pattern.
+        """
+        return self.regex.pattern
+
+    def __add__(self, other):
+        """
+        Allows adding two regular expressions into one.
+        """
+
+        return KernRe(str(self) + str(other), cache=self.cache or other.cache,
+                  flags=self.regex.flags | other.regex.flags)
+
+    def match(self, string):
+        """
+        Handles a re.match storing its results
+        """
+
+        self.last_match = self.regex.match(string)
+        return self.last_match
+
+    def search(self, string):
+        """
+        Handles a re.search storing its results
+        """
+
+        self.last_match = self.regex.search(string)
+        return self.last_match
+
+    def findall(self, string):
+        """
+        Alias to re.findall
+        """
+
+        return self.regex.findall(string)
+
+    def split(self, string):
+        """
+        Alias to re.split
+        """
+
+        return self.regex.split(string)
+
+    def sub(self, sub, string, count=0):
+        """
+        Alias to re.sub
+        """
+
+        return self.regex.sub(sub, string, count=count)
+
+    def group(self, num):
+        """
+        Returns the group results of the last match
+        """
+
+        return self.last_match.group(num)
+
+
+class NestedMatch:
+    """
+    Finding nested delimiters is hard with regular expressions. It is
+    even harder on Python with its normal re module, as there are several
+    advanced regular expressions that are missing.
+
+    This is the case of this pattern:
+
+            '\\bSTRUCT_GROUP(\\(((?:(?>[^)(]+)|(?1))*)\\))[^;]*;'
+
+    which is used to properly match open/close parenthesis of the
+    string search STRUCT_GROUP(),
+
+    Add a class that counts pairs of delimiters, using it to match and
+    replace nested expressions.
+
+    The original approach was suggested by:
+        https://stackoverflow.com/questions/5454322/python-how-to-match-nested-parentheses-with-regex
+
+    Although I re-implemented it to make it more generic and match 3 types
+    of delimiters. The logic checks if delimiters are paired. If not, it
+    will ignore the search string.
+    """
+
+    # TODO: make NestedMatch handle multiple match groups
+    #
+    # Right now, regular expressions to match it are defined only up to
+    #       the start delimiter, e.g.:
+    #
+    #       \bSTRUCT_GROUP\(
+    #
+    # is similar to: STRUCT_GROUP\((.*)\)
+    # except that the content inside the match group is delimiter's aligned.
+    #
+    # The content inside parenthesis are converted into a single replace
+    # group (e.g. r`\1').
+    #
+    # It would be nice to change such definition to support multiple
+    # match groups, allowing a regex equivalent to.
+    #
+    #   FOO\((.*), (.*), (.*)\)
+    #
+    # it is probably easier to define it not as a regular expression, but
+    # with some lexical definition like:
+    #
+    #   FOO(arg1, arg2, arg3)
+
+    DELIMITER_PAIRS = {
+        '{': '}',
+        '(': ')',
+        '[': ']',
+    }
+
+    RE_DELIM = re.compile(r'[\{\}\[\]\(\)]')
+
+    def _search(self, regex, line):
+        """
+        Finds paired blocks for a regex that ends with a delimiter.
+
+        The suggestion of using finditer to match pairs came from:
+        https://stackoverflow.com/questions/5454322/python-how-to-match-nested-parentheses-with-regex
+        but I ended using a different implementation to align all three types
+        of delimiters and seek for an initial regular expression.
+
+        The algorithm seeks for open/close paired delimiters and place them
+        into a stack, yielding a start/stop position of each match  when the
+        stack is zeroed.
+
+        The algorithm shoud work fine for properly paired lines, but will
+        silently ignore end delimiters that preceeds an start delimiter.
+        This should be OK for kernel-doc parser, as unaligned delimiters
+        would cause compilation errors. So, we don't need to rise exceptions
+        to cover such issues.
+        """
+
+        stack = []
+
+        for match_re in regex.finditer(line):
+            start = match_re.start()
+            offset = match_re.end()
+
+            d = line[offset - 1]
+            if d not in self.DELIMITER_PAIRS:
+                continue
+
+            end = self.DELIMITER_PAIRS[d]
+            stack.append(end)
+
+            for match in self.RE_DELIM.finditer(line[offset:]):
+                pos = match.start() + offset
+
+                d = line[pos]
+
+                if d in self.DELIMITER_PAIRS:
+                    end = self.DELIMITER_PAIRS[d]
+
+                    stack.append(end)
+                    continue
+
+                # Does the end delimiter match what it is expected?
+                if stack and d == stack[-1]:
+                    stack.pop()
+
+                    if not stack:
+                        yield start, offset, pos + 1
+                        break
+
+    def search(self, regex, line):
+        """
+        This is similar to re.search:
+
+        It matches a regex that it is followed by a delimiter,
+        returning occurrences only if all delimiters are paired.
+        """
+
+        for t in self._search(regex, line):
+
+            yield line[t[0]:t[2]]
+
+    def sub(self, regex, sub, line, count=0):
+        """
+        This is similar to re.sub:
+
+        It matches a regex that it is followed by a delimiter,
+        replacing occurrences only if all delimiters are paired.
+
+        if r'\1' is used, it works just like re: it places there the
+        matched paired data with the delimiter stripped.
+
+        If count is different than zero, it will replace at most count
+        items.
+        """
+        out = ""
+
+        cur_pos = 0
+        n = 0
+
+        for start, end, pos in self._search(regex, line):
+            out += line[cur_pos:start]
+
+            # Value, ignoring start/end delimiters
+            value = line[end:pos - 1]
+
+            # replaces \1 at the sub string, if \1 is used there
+            new_sub = sub
+            new_sub = new_sub.replace(r'\1', value)
+
+            out += new_sub
+
+            # Drop end ';' if any
+            if line[pos] == ';':
+                pos += 1
+
+            cur_pos = pos
+            n += 1
+
+            if count and count >= n:
+                break
+
+        # Append the remaining string
+        l = len(line)
+        out += line[cur_pos:l]
+
+        return out