X-Git-Url: http://www.chiark.greenend.org.uk/ucgi/~ian/git?p=topbloke-formulae.git;a=blobdiff_plain;f=strategy.tex;h=d9a2545f1db52b98ed9d8330cd1dfd55e91c561f;hp=ca31c32c2443c357f31d58974462003120522c38;hb=f0f7eceb4c3b65e4728d0b04b23e28906d5038fb;hpb=883050622af6e64f7a035aba410a2983c639a393 diff --git a/strategy.tex b/strategy.tex index ca31c32..d9a2545 100644 --- a/strategy.tex +++ b/strategy.tex @@ -1,58 +1,327 @@ -\section{Strategy} +Here we describe the update algorithm. This is responsible for +refreshing patches against updated versions of their dependencies, +for merging different versions of the various braches created by +distributed development, and for implementing decisions to add and +remove dependencies from patches. -We start with some commits $S_0 \ldots S_n$ -(where $S_0 = L$ and is the current git ref for $\pl$). +Broadly speaking the update proceeds as follows: during the Ranking +phase we construct the intended graph of dependencies between patches +(which involves select a merge order for the base branch of each +patch). Then during the Traversal phase we walk that graph from the +bottom up, constructing for each patch by a series of merges and other +operations first a new base branch head commit and then a new tip +branch head commit. These new head commits are maximums - that is, +each has as ancestors all of its branches' sources and indeed all +relevant commits in that branch. -%Let $\set E_{\pc} = \bigcup_i \pendsof{S_i}{\pc}$. +We have two possible strategies for constructing new base branch +heads: we can either Merge (works incrementally even if there the +patch has multiple dependencies, but may sometimes not be possible) or +we can Regenerate (trivial if there is a single dependency, and is +always possible, but may involve the user re-resolving conflicts if +there are multiple dependencies). -Invoke Plan $\patchof \pl$ where the algorithm Plan $\pc$ is as -follows: +\section{Notation} -Notation: +\begin{basedescript}{ +\desclabelwidth{5em} +\desclabelstyle{\nextlinelabel} +} +\item[ $\depsreqof{K}$ ] +The set of direct dependencies (in the form $\py$) +requested in the commit $K$ ($K \in \pn$) for the patch $\p$. - $\pc \succ_1 \{ \p, \pq \ldots \}$ - the Topbloke commit set $py$ has as direct contributors exactly - $\p, \pq, \ldots$. This is an acyclic relation. +\item[ $\pc \hasdirdep \p$ ] +The Topbloke commit set $\pc$ has as a direct contributor the +commit set $\p$. This is an acyclic relation. - Extend this into the partial order $\succ$. +\item[ $\p \hasdep \pq$ ] +The commit set $\p$ has as direct or indirect contributor the commit +set $\pq$. +Acyclic; the completion of $\hasdirdep$ into a +partial order. -$\py \succ \pq$ +\item[ $\pendsof{\set J}{\p}$ ] +Convenience notation for +the maximal elements of $\bigcup_{J \in \set J} \pendsof{J}{\p}$ +(where $\set J$ is some set of commits). -We intend to merge all $\set E_{\pc} = \{ E_{\pc,j \ldots} \}$ +\item[ $\pendsof{\set X}{\p} \le T$ ] +Convenience notation for +$\bigforall_{E \in \pendsof{\set X}{\p}} E \le T$ + +%\item[ $\set E_{\pc}$ ] +%$ \bigcup_i \pendsof{S_{\pc,i}}{\pc} $. +%All the ends of $\pc$ in the sources. + +%\item[ $ \tipzc, \tipcc, \tipuc, \tipfc $ ] +%The git ref for the Topbloke commit set $\pc$: respectively, +%the original, current, updated, and final values. + +\end{basedescript} + +\stdsection{Inputs to the update algorithm} + +\begin{basedescript}{ +\desclabelwidth{5em} +\desclabelstyle{\nextlinelabel} +} +\item[ $\pc_0$ ] +The topmost patch which we are trying to update. This and +all of its dependencies will be updated. + +\item[ $h : \pc^{+/-} \mapsto \set H_{\pc^{+/-}}$ ] +Function for getting the existing heads $\set H$ of the branch $\pc^{+/-}$. +This will include the current local and remote git refs, as desired. + +\item[ $g : \pc, \Gamma \mapsto \Gamma'$ ] +Function to allow explicit adjustment of the direct dependencies +of $\pc$. It is provided with a putative set of direct dependencies +$\Gamma$ computed as an appropriate merge of the dependencies requested by the +sources and should return the complete actual set $\Gamma'$ of direct +dependencies to use. This allows the specification of any desired +(acyclic) relation $\hasdirdep$. + +\end{basedescript} + +\section{Ranking phase} + +We run the following algorithm: +\begin{enumerate} +\item Set $\allpatches = \{ \}$. +\item Repeatedly: +\begin{enumerate} +\item Clear out the graph $\hasdirdep$ so it has no edges. +\item Execute {\bf Rank-Recurse}($\pc_0$) +\item Until $\allpatches$ remains unchanged. +\end{enumerate} +\end{enumerate} + +{\bf Rank-Recurse}($\pc$) is: +\begin{enumerate} + +\item If we have already done {\bf Rank-Recurse}($\pc$) in this +ranking iteration, do nothing. Otherwise: + +\item Add $\pc$ to $\allpatches$ if it is not there already. + +\item Let +$$ + \set S = h(\pcn) + \cup + \bigcup_{\p \in \allpatches} + \bigcup_{H \in h(\pn) \lor H \in h(\py)} + \{ \baseof{E} \; | \; E \in \pendsof{H}{\pcy} \} +$$ + +and $W = w(h(\pcn))$ + +\item While $\exists_{S \in \set S} S \ge W$, +update $W \assign S$ and $\set S \assign \set S \, \backslash \{ S \}$ + +(This will often remove $W$ from $\set S$. Afterwards, $\set S$ +is a collection of heads to be merged into $W$.) + +\item Choose an order of $\set S$, $S_i$ for $i=1 \ldots n$. + +\item For each $S_i$ in turn, choose a corresponding $M_i$ +such that $$ + M_i \le S_i \land \left[ + M_i \le W \lor \bigexists_{S_i, j