##// END OF EJS Templates
wireproto: add streams to frame-based protocol...
wireproto: add streams to frame-based protocol Previously, the frame-based protocol was just a series of frames, with each frame associated with a request ID. In order to scale the protocol, we'll want to enable the use of compression. While it is possible to enable compression at the socket/pipe level, this has its disadvantages. The big one is it undermines the point of frames being standalone, atomic units that can be read and written: if you add compression above the framing protocol, you are back to having a stream-based protocol as opposed to something frame-based. So in order to preserve frames, compression needs to occur at the frame payload level. Compressing each frame's payload individually will limit compression ratios because the window size of the compressor will be limited by the max frame size, which is 32-64kb as currently defined. It will also add CPU overhead, as it is more efficient for compressors to operate on fewer, larger blocks of data than more, smaller blocks. So compressing each frame independently is out. This means we need to compress each frame's payload as if it is part of a larger stream. The simplest approach is to have 1 stream per connection. This could certainly work. However, it has disadvantages (documented below). We could also have 1 stream per RPC/command invocation. (This is the model HTTP/2 goes with.) This also has disadvantages. The main disadvantage to one global stream is that it has the very real potential to create CPU bottlenecks doing compression. Networks are only getting faster and the performance of single CPU cores has been relatively flat. Newer compression formats like zstandard offer better CPU cycle efficiency than predecessors like zlib. But it still all too common to saturate your CPU with compression overhead long before you saturate the network pipe. The main disadvantage with streams per request is that you can't reap the benefits of the compression context for multiple requests. For example, if you send 1000 RPC requests (or HTTP/2 requests for that matter), the response to each would have its own compression context. The overall size of the raw responses would be larger because compression contexts wouldn't be able to reference data from another request or response. The approach for streams as implemented in this commit is to support N streams per connection and for streams to potentially span requests and responses. As explained by the added internals docs, this facilitates servers and clients delegating independent streams and compression to independent threads / CPU cores. This helps alleviate the CPU bottleneck of compression. This design also allows compression contexts to be reused across requests/responses. This can result in improved compression ratios and less overhead for compressors and decompressors having to build new contexts. Another feature that was defined was the ability for individual frames within a stream to declare whether that individual frame's payload uses the content encoding (read: compression) defined by the stream. The idea here is that some servers may serve data from a combination of caches and dynamic resolution. Data coming from caches may be pre-compressed. We want to facilitate servers being able to essentially stream bytes from caches to the wire with minimal overhead. Being able to mix and match with frames are compressed within a stream enables these types of advanced server functionality. This commit defines the new streams mechanism. Basic code for supporting streams in frames has been added. But that code is seriously lacking and doesn't fully conform to the defined protocol. For example, we don't close any streams. And support for content encoding within streams is not yet implemented. The change was rather invasive and I didn't think it would be reasonable to implement the entire feature in a single commit. For the record, I would have loved to reuse an existing multiplexing protocol to build the new wire protocol on top of. However, I couldn't find a protocol that offers the performance and scaling characteristics that I desired. Namely, it should support multiple compression contexts to facilitate scaling out to multiple CPU cores and compression contexts should be able to live longer than single RPC requests. HTTP/2 *almost* fits the bill. But the semantics of HTTP message exchange state that streams can only live for a single request-response. We /could/ tunnel on top of HTTP/2 streams and frames with HEADER and DATA frames. But there's no guarantee that HTTP/2 libraries and proxies would allow us to use HTTP/2 streams and frames without the HTTP message exchange semantics defined in RFC 7540 Section 8. Other RPC protocols like gRPC tunnel are built on top of HTTP/2 and thus preserve its semantics of stream per RPC invocation. Even QUIC does this. We could attempt to invent a higher-level stream that spans HTTP/2 streams. But this would be violating HTTP/2 because there is no guarantee that HTTP/2 streams are routed to the same server. The best we can do - which is what this protocol does - is shoehorn all request and response data into a single HTTP message and create streams within. At that point, we've defined a Content-Type in HTTP parlance. It just so happens our media type can also work as a standalone, stream-based protocol, without leaning on HTTP or similar protocol. Differential Revision: https://phab.mercurial-scm.org/D2907

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dagop.py
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# dagop.py - graph ancestry and topology algorithm for revset
#
# Copyright 2010 Matt Mackall <mpm@selenic.com>
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.
from __future__ import absolute_import
import heapq
from .thirdparty import (
attr,
)
from . import (
error,
mdiff,
node,
patch,
pycompat,
smartset,
)
baseset = smartset.baseset
generatorset = smartset.generatorset
# possible maximum depth between null and wdir()
_maxlogdepth = 0x80000000
def _walkrevtree(pfunc, revs, startdepth, stopdepth, reverse):
"""Walk DAG using 'pfunc' from the given 'revs' nodes
'pfunc(rev)' should return the parent/child revisions of the given 'rev'
if 'reverse' is True/False respectively.
Scan ends at the stopdepth (exlusive) if specified. Revisions found
earlier than the startdepth are omitted.
"""
if startdepth is None:
startdepth = 0
if stopdepth is None:
stopdepth = _maxlogdepth
if stopdepth == 0:
return
if stopdepth < 0:
raise error.ProgrammingError('negative stopdepth')
if reverse:
heapsign = -1 # max heap
else:
heapsign = +1 # min heap
# load input revs lazily to heap so earlier revisions can be yielded
# without fully computing the input revs
revs.sort(reverse)
irevs = iter(revs)
pendingheap = [] # [(heapsign * rev, depth), ...] (i.e. lower depth first)
inputrev = next(irevs, None)
if inputrev is not None:
heapq.heappush(pendingheap, (heapsign * inputrev, 0))
lastrev = None
while pendingheap:
currev, curdepth = heapq.heappop(pendingheap)
currev = heapsign * currev
if currev == inputrev:
inputrev = next(irevs, None)
if inputrev is not None:
heapq.heappush(pendingheap, (heapsign * inputrev, 0))
# rescan parents until curdepth >= startdepth because queued entries
# of the same revision are iterated from the lowest depth
foundnew = (currev != lastrev)
if foundnew and curdepth >= startdepth:
lastrev = currev
yield currev
pdepth = curdepth + 1
if foundnew and pdepth < stopdepth:
for prev in pfunc(currev):
if prev != node.nullrev:
heapq.heappush(pendingheap, (heapsign * prev, pdepth))
def filectxancestors(fctxs, followfirst=False):
"""Like filectx.ancestors(), but can walk from multiple files/revisions,
and includes the given fctxs themselves
Yields (rev, {fctx, ...}) pairs in descending order.
"""
visit = {}
visitheap = []
def addvisit(fctx):
rev = fctx.rev()
if rev not in visit:
visit[rev] = set()
heapq.heappush(visitheap, -rev) # max heap
visit[rev].add(fctx)
if followfirst:
cut = 1
else:
cut = None
for c in fctxs:
addvisit(c)
while visit:
currev = -heapq.heappop(visitheap)
curfctxs = visit.pop(currev)
yield currev, curfctxs
for c in curfctxs:
for parent in c.parents()[:cut]:
addvisit(parent)
assert not visitheap
def filerevancestors(fctxs, followfirst=False):
"""Like filectx.ancestors(), but can walk from multiple files/revisions,
and includes the given fctxs themselves
Returns a smartset.
"""
gen = (rev for rev, _cs in filectxancestors(fctxs, followfirst))
return generatorset(gen, iterasc=False)
def _genrevancestors(repo, revs, followfirst, startdepth, stopdepth, cutfunc):
if followfirst:
cut = 1
else:
cut = None
cl = repo.changelog
def plainpfunc(rev):
try:
return cl.parentrevs(rev)[:cut]
except error.WdirUnsupported:
return (pctx.rev() for pctx in repo[rev].parents()[:cut])
if cutfunc is None:
pfunc = plainpfunc
else:
pfunc = lambda rev: [r for r in plainpfunc(rev) if not cutfunc(r)]
revs = revs.filter(lambda rev: not cutfunc(rev))
return _walkrevtree(pfunc, revs, startdepth, stopdepth, reverse=True)
def revancestors(repo, revs, followfirst=False, startdepth=None,
stopdepth=None, cutfunc=None):
"""Like revlog.ancestors(), but supports additional options, includes
the given revs themselves, and returns a smartset
Scan ends at the stopdepth (exlusive) if specified. Revisions found
earlier than the startdepth are omitted.
If cutfunc is provided, it will be used to cut the traversal of the DAG.
When cutfunc(X) returns True, the DAG traversal stops - revision X and
X's ancestors in the traversal path will be skipped. This could be an
optimization sometimes.
Note: if Y is an ancestor of X, cutfunc(X) returning True does not
necessarily mean Y will also be cut. Usually cutfunc(Y) also wants to
return True in this case. For example,
D # revancestors(repo, D, cutfunc=lambda rev: rev == B)
|\ # will include "A", because the path D -> C -> A was not cut.
B C # If "B" gets cut, "A" might want to be cut too.
|/
A
"""
gen = _genrevancestors(repo, revs, followfirst, startdepth, stopdepth,
cutfunc)
return generatorset(gen, iterasc=False)
def _genrevdescendants(repo, revs, followfirst):
if followfirst:
cut = 1
else:
cut = None
cl = repo.changelog
first = revs.min()
nullrev = node.nullrev
if first == nullrev:
# Are there nodes with a null first parent and a non-null
# second one? Maybe. Do we care? Probably not.
yield first
for i in cl:
yield i
else:
seen = set(revs)
for i in cl.revs(first):
if i in seen:
yield i
continue
for x in cl.parentrevs(i)[:cut]:
if x != nullrev and x in seen:
seen.add(i)
yield i
break
def _builddescendantsmap(repo, startrev, followfirst):
"""Build map of 'rev -> child revs', offset from startrev"""
cl = repo.changelog
nullrev = node.nullrev
descmap = [[] for _rev in xrange(startrev, len(cl))]
for currev in cl.revs(startrev + 1):
p1rev, p2rev = cl.parentrevs(currev)
if p1rev >= startrev:
descmap[p1rev - startrev].append(currev)
if not followfirst and p2rev != nullrev and p2rev >= startrev:
descmap[p2rev - startrev].append(currev)
return descmap
def _genrevdescendantsofdepth(repo, revs, followfirst, startdepth, stopdepth):
startrev = revs.min()
descmap = _builddescendantsmap(repo, startrev, followfirst)
def pfunc(rev):
return descmap[rev - startrev]
return _walkrevtree(pfunc, revs, startdepth, stopdepth, reverse=False)
def revdescendants(repo, revs, followfirst, startdepth=None, stopdepth=None):
"""Like revlog.descendants() but supports additional options, includes
the given revs themselves, and returns a smartset
Scan ends at the stopdepth (exlusive) if specified. Revisions found
earlier than the startdepth are omitted.
"""
if startdepth is None and stopdepth is None:
gen = _genrevdescendants(repo, revs, followfirst)
else:
gen = _genrevdescendantsofdepth(repo, revs, followfirst,
startdepth, stopdepth)
return generatorset(gen, iterasc=True)
def _reachablerootspure(repo, minroot, roots, heads, includepath):
"""return (heads(::<roots> and ::<heads>))
If includepath is True, return (<roots>::<heads>)."""
if not roots:
return []
parentrevs = repo.changelog.parentrevs
roots = set(roots)
visit = list(heads)
reachable = set()
seen = {}
# prefetch all the things! (because python is slow)
reached = reachable.add
dovisit = visit.append
nextvisit = visit.pop
# open-code the post-order traversal due to the tiny size of
# sys.getrecursionlimit()
while visit:
rev = nextvisit()
if rev in roots:
reached(rev)
if not includepath:
continue
parents = parentrevs(rev)
seen[rev] = parents
for parent in parents:
if parent >= minroot and parent not in seen:
dovisit(parent)
if not reachable:
return baseset()
if not includepath:
return reachable
for rev in sorted(seen):
for parent in seen[rev]:
if parent in reachable:
reached(rev)
return reachable
def reachableroots(repo, roots, heads, includepath=False):
"""return (heads(::<roots> and ::<heads>))
If includepath is True, return (<roots>::<heads>)."""
if not roots:
return baseset()
minroot = roots.min()
roots = list(roots)
heads = list(heads)
try:
revs = repo.changelog.reachableroots(minroot, heads, roots, includepath)
except AttributeError:
revs = _reachablerootspure(repo, minroot, roots, heads, includepath)
revs = baseset(revs)
revs.sort()
return revs
def _changesrange(fctx1, fctx2, linerange2, diffopts):
"""Return `(diffinrange, linerange1)` where `diffinrange` is True
if diff from fctx2 to fctx1 has changes in linerange2 and
`linerange1` is the new line range for fctx1.
"""
blocks = mdiff.allblocks(fctx1.data(), fctx2.data(), diffopts)
filteredblocks, linerange1 = mdiff.blocksinrange(blocks, linerange2)
diffinrange = any(stype == '!' for _, stype in filteredblocks)
return diffinrange, linerange1
def blockancestors(fctx, fromline, toline, followfirst=False):
"""Yield ancestors of `fctx` with respect to the block of lines within
`fromline`-`toline` range.
"""
diffopts = patch.diffopts(fctx._repo.ui)
fctx = fctx.introfilectx()
visit = {(fctx.linkrev(), fctx.filenode()): (fctx, (fromline, toline))}
while visit:
c, linerange2 = visit.pop(max(visit))
pl = c.parents()
if followfirst:
pl = pl[:1]
if not pl:
# The block originates from the initial revision.
yield c, linerange2
continue
inrange = False
for p in pl:
inrangep, linerange1 = _changesrange(p, c, linerange2, diffopts)
inrange = inrange or inrangep
if linerange1[0] == linerange1[1]:
# Parent's linerange is empty, meaning that the block got
# introduced in this revision; no need to go futher in this
# branch.
continue
# Set _descendantrev with 'c' (a known descendant) so that, when
# _adjustlinkrev is called for 'p', it receives this descendant
# (as srcrev) instead possibly topmost introrev.
p._descendantrev = c.rev()
visit[p.linkrev(), p.filenode()] = p, linerange1
if inrange:
yield c, linerange2
def blockdescendants(fctx, fromline, toline):
"""Yield descendants of `fctx` with respect to the block of lines within
`fromline`-`toline` range.
"""
# First possibly yield 'fctx' if it has changes in range with respect to
# its parents.
try:
c, linerange1 = next(blockancestors(fctx, fromline, toline))
except StopIteration:
pass
else:
if c == fctx:
yield c, linerange1
diffopts = patch.diffopts(fctx._repo.ui)
fl = fctx.filelog()
seen = {fctx.filerev(): (fctx, (fromline, toline))}
for i in fl.descendants([fctx.filerev()]):
c = fctx.filectx(i)
inrange = False
for x in fl.parentrevs(i):
try:
p, linerange2 = seen[x]
except KeyError:
# nullrev or other branch
continue
inrangep, linerange1 = _changesrange(c, p, linerange2, diffopts)
inrange = inrange or inrangep
# If revision 'i' has been seen (it's a merge) and the line range
# previously computed differs from the one we just got, we take the
# surrounding interval. This is conservative but avoids loosing
# information.
if i in seen and seen[i][1] != linerange1:
lbs, ubs = zip(linerange1, seen[i][1])
linerange1 = min(lbs), max(ubs)
seen[i] = c, linerange1
if inrange:
yield c, linerange1
@attr.s(slots=True, frozen=True)
class annotateline(object):
fctx = attr.ib()
lineno = attr.ib()
# Whether this annotation was the result of a skip-annotate.
skip = attr.ib(default=False)
text = attr.ib(default=None)
@attr.s(slots=True, frozen=True)
class _annotatedfile(object):
# list indexed by lineno - 1
fctxs = attr.ib()
linenos = attr.ib()
skips = attr.ib()
# full file content
text = attr.ib()
def _countlines(text):
if text.endswith("\n"):
return text.count("\n")
return text.count("\n") + int(bool(text))
def _decoratelines(text, fctx):
n = _countlines(text)
linenos = pycompat.rangelist(1, n + 1)
return _annotatedfile([fctx] * n, linenos, [False] * n, text)
def _annotatepair(parents, childfctx, child, skipchild, diffopts):
r'''
Given parent and child fctxes and annotate data for parents, for all lines
in either parent that match the child, annotate the child with the parent's
data.
Additionally, if `skipchild` is True, replace all other lines with parent
annotate data as well such that child is never blamed for any lines.
See test-annotate.py for unit tests.
'''
pblocks = [(parent, mdiff.allblocks(parent.text, child.text, opts=diffopts))
for parent in parents]
if skipchild:
# Need to iterate over the blocks twice -- make it a list
pblocks = [(p, list(blocks)) for (p, blocks) in pblocks]
# Mercurial currently prefers p2 over p1 for annotate.
# TODO: change this?
for parent, blocks in pblocks:
for (a1, a2, b1, b2), t in blocks:
# Changed blocks ('!') or blocks made only of blank lines ('~')
# belong to the child.
if t == '=':
child.fctxs[b1:b2] = parent.fctxs[a1:a2]
child.linenos[b1:b2] = parent.linenos[a1:a2]
child.skips[b1:b2] = parent.skips[a1:a2]
if skipchild:
# Now try and match up anything that couldn't be matched,
# Reversing pblocks maintains bias towards p2, matching above
# behavior.
pblocks.reverse()
# The heuristics are:
# * Work on blocks of changed lines (effectively diff hunks with -U0).
# This could potentially be smarter but works well enough.
# * For a non-matching section, do a best-effort fit. Match lines in
# diff hunks 1:1, dropping lines as necessary.
# * Repeat the last line as a last resort.
# First, replace as much as possible without repeating the last line.
remaining = [(parent, []) for parent, _blocks in pblocks]
for idx, (parent, blocks) in enumerate(pblocks):
for (a1, a2, b1, b2), _t in blocks:
if a2 - a1 >= b2 - b1:
for bk in xrange(b1, b2):
if child.fctxs[bk] == childfctx:
ak = min(a1 + (bk - b1), a2 - 1)
child.fctxs[bk] = parent.fctxs[ak]
child.linenos[bk] = parent.linenos[ak]
child.skips[bk] = True
else:
remaining[idx][1].append((a1, a2, b1, b2))
# Then, look at anything left, which might involve repeating the last
# line.
for parent, blocks in remaining:
for a1, a2, b1, b2 in blocks:
for bk in xrange(b1, b2):
if child.fctxs[bk] == childfctx:
ak = min(a1 + (bk - b1), a2 - 1)
child.fctxs[bk] = parent.fctxs[ak]
child.linenos[bk] = parent.linenos[ak]
child.skips[bk] = True
return child
def annotate(base, parents, skiprevs=None, diffopts=None):
"""Core algorithm for filectx.annotate()
`parents(fctx)` is a function returning a list of parent filectxs.
"""
# This algorithm would prefer to be recursive, but Python is a
# bit recursion-hostile. Instead we do an iterative
# depth-first search.
# 1st DFS pre-calculates pcache and needed
visit = [base]
pcache = {}
needed = {base: 1}
while visit:
f = visit.pop()
if f in pcache:
continue
pl = parents(f)
pcache[f] = pl
for p in pl:
needed[p] = needed.get(p, 0) + 1
if p not in pcache:
visit.append(p)
# 2nd DFS does the actual annotate
visit[:] = [base]
hist = {}
while visit:
f = visit[-1]
if f in hist:
visit.pop()
continue
ready = True
pl = pcache[f]
for p in pl:
if p not in hist:
ready = False
visit.append(p)
if ready:
visit.pop()
curr = _decoratelines(f.data(), f)
skipchild = False
if skiprevs is not None:
skipchild = f._changeid in skiprevs
curr = _annotatepair([hist[p] for p in pl], f, curr, skipchild,
diffopts)
for p in pl:
if needed[p] == 1:
del hist[p]
del needed[p]
else:
needed[p] -= 1
hist[f] = curr
del pcache[f]
a = hist[base]
return [annotateline(*r) for r in zip(a.fctxs, a.linenos, a.skips,
mdiff.splitnewlines(a.text))]
def toposort(revs, parentsfunc, firstbranch=()):
"""Yield revisions from heads to roots one (topo) branch at a time.
This function aims to be used by a graph generator that wishes to minimize
the number of parallel branches and their interleaving.
Example iteration order (numbers show the "true" order in a changelog):
o 4
|
o 1
|
| o 3
| |
| o 2
|/
o 0
Note that the ancestors of merges are understood by the current
algorithm to be on the same branch. This means no reordering will
occur behind a merge.
"""
### Quick summary of the algorithm
#
# This function is based around a "retention" principle. We keep revisions
# in memory until we are ready to emit a whole branch that immediately
# "merges" into an existing one. This reduces the number of parallel
# branches with interleaved revisions.
#
# During iteration revs are split into two groups:
# A) revision already emitted
# B) revision in "retention". They are stored as different subgroups.
#
# for each REV, we do the following logic:
#
# 1) if REV is a parent of (A), we will emit it. If there is a
# retention group ((B) above) that is blocked on REV being
# available, we emit all the revisions out of that retention
# group first.
#
# 2) else, we'll search for a subgroup in (B) awaiting for REV to be
# available, if such subgroup exist, we add REV to it and the subgroup is
# now awaiting for REV.parents() to be available.
#
# 3) finally if no such group existed in (B), we create a new subgroup.
#
#
# To bootstrap the algorithm, we emit the tipmost revision (which
# puts it in group (A) from above).
revs.sort(reverse=True)
# Set of parents of revision that have been emitted. They can be considered
# unblocked as the graph generator is already aware of them so there is no
# need to delay the revisions that reference them.
#
# If someone wants to prioritize a branch over the others, pre-filling this
# set will force all other branches to wait until this branch is ready to be
# emitted.
unblocked = set(firstbranch)
# list of groups waiting to be displayed, each group is defined by:
#
# (revs: lists of revs waiting to be displayed,
# blocked: set of that cannot be displayed before those in 'revs')
#
# The second value ('blocked') correspond to parents of any revision in the
# group ('revs') that is not itself contained in the group. The main idea
# of this algorithm is to delay as much as possible the emission of any
# revision. This means waiting for the moment we are about to display
# these parents to display the revs in a group.
#
# This first implementation is smart until it encounters a merge: it will
# emit revs as soon as any parent is about to be emitted and can grow an
# arbitrary number of revs in 'blocked'. In practice this mean we properly
# retains new branches but gives up on any special ordering for ancestors
# of merges. The implementation can be improved to handle this better.
#
# The first subgroup is special. It corresponds to all the revision that
# were already emitted. The 'revs' lists is expected to be empty and the
# 'blocked' set contains the parents revisions of already emitted revision.
#
# You could pre-seed the <parents> set of groups[0] to a specific
# changesets to select what the first emitted branch should be.
groups = [([], unblocked)]
pendingheap = []
pendingset = set()
heapq.heapify(pendingheap)
heappop = heapq.heappop
heappush = heapq.heappush
for currentrev in revs:
# Heap works with smallest element, we want highest so we invert
if currentrev not in pendingset:
heappush(pendingheap, -currentrev)
pendingset.add(currentrev)
# iterates on pending rev until after the current rev have been
# processed.
rev = None
while rev != currentrev:
rev = -heappop(pendingheap)
pendingset.remove(rev)
# Seek for a subgroup blocked, waiting for the current revision.
matching = [i for i, g in enumerate(groups) if rev in g[1]]
if matching:
# The main idea is to gather together all sets that are blocked
# on the same revision.
#
# Groups are merged when a common blocking ancestor is
# observed. For example, given two groups:
#
# revs [5, 4] waiting for 1
# revs [3, 2] waiting for 1
#
# These two groups will be merged when we process
# 1. In theory, we could have merged the groups when
# we added 2 to the group it is now in (we could have
# noticed the groups were both blocked on 1 then), but
# the way it works now makes the algorithm simpler.
#
# We also always keep the oldest subgroup first. We can
# probably improve the behavior by having the longest set
# first. That way, graph algorithms could minimise the length
# of parallel lines their drawing. This is currently not done.
targetidx = matching.pop(0)
trevs, tparents = groups[targetidx]
for i in matching:
gr = groups[i]
trevs.extend(gr[0])
tparents |= gr[1]
# delete all merged subgroups (except the one we kept)
# (starting from the last subgroup for performance and
# sanity reasons)
for i in reversed(matching):
del groups[i]
else:
# This is a new head. We create a new subgroup for it.
targetidx = len(groups)
groups.append(([], {rev}))
gr = groups[targetidx]
# We now add the current nodes to this subgroups. This is done
# after the subgroup merging because all elements from a subgroup
# that relied on this rev must precede it.
#
# we also update the <parents> set to include the parents of the
# new nodes.
if rev == currentrev: # only display stuff in rev
gr[0].append(rev)
gr[1].remove(rev)
parents = [p for p in parentsfunc(rev) if p > node.nullrev]
gr[1].update(parents)
for p in parents:
if p not in pendingset:
pendingset.add(p)
heappush(pendingheap, -p)
# Look for a subgroup to display
#
# When unblocked is empty (if clause), we were not waiting for any
# revisions during the first iteration (if no priority was given) or
# if we emitted a whole disconnected set of the graph (reached a
# root). In that case we arbitrarily take the oldest known
# subgroup. The heuristic could probably be better.
#
# Otherwise (elif clause) if the subgroup is blocked on
# a revision we just emitted, we can safely emit it as
# well.
if not unblocked:
if len(groups) > 1: # display other subset
targetidx = 1
gr = groups[1]
elif not gr[1] & unblocked:
gr = None
if gr is not None:
# update the set of awaited revisions with the one from the
# subgroup
unblocked |= gr[1]
# output all revisions in the subgroup
for r in gr[0]:
yield r
# delete the subgroup that you just output
# unless it is groups[0] in which case you just empty it.
if targetidx:
del groups[targetidx]
else:
gr[0][:] = []
# Check if we have some subgroup waiting for revisions we are not going to
# iterate over
for g in groups:
for r in g[0]:
yield r