This mode replays the automated proofs and the interactive ones, re-running Alt-Ergo on every \textsf{WP} goals and every proof tactic sub-goals. The user scripts are never modified — this is a replay mode only.
\clearpage
\subsection{Available Tactics}
\subsection{Strategies}
Strategies are heuristics that generate a prioritized bunch of tactics to be tried on the current goal.
Few built-in strategies are provided by the \textsf{WP} plug-in ; however, the user can extends the proof editor with
custom ones, as explained in section~\ref{wp-custom-tactics} below.
To run strategies, the interactive proof editor provide a single button \texttt{Strategies} in the tactic panel.
Configure the heuristics you want to include in your try, then click the button. The generated with highest priority is immediately applied. The proof summary now display \texttt{backtrack} buttons revealing proof nodes where alternative tactics are available. You can use those backtracking button to cycle over the generated tactics.
Of course, strategies are meant to be used multiple times, in sequence. Recall that strategies apply highest priority tactic first, on the current goal. When using strategies several times, you shall see several \texttt{backtrack}ing buttons in your proof script. You backtrack from any point at any time.
You shall also alternate strategies \emph{and} manually triggered tactics. Though, strategies are only used to
\emph{infer} or \emph{suggest} interesting tactics to the user. Once your are finished with your proved, only the tactics are saved in the script, not the strategies used to find them. Hence, replaying a script generated with strategies would not involve backtracking any more. The script will directly replay your chosen alternatives.
It is also possible to call strategies from the command line, with option \texttt{-wp-auto}. The strategies are tried up to some depth, and while a limited number of pending goals
remains unproved by \textsf{Qed} or the selected provers. More precisely:
\begin{description}
\item[\tt -wp-auto s,...] applies strategies \texttt{s,...} recursively to unproved goals.
\item[\tt -wp-auto-depth <$n$>] limit recursive application of strategies to depth $n$ (default is 5).
\item[\tt -wp-auto-width <$n$>] limit application of strategies when there is less than $n$ pending goals (default is 10).
\item[\tt -wp-auto-backtrack <$n$>] when the first tried strategies do not close a branch, allows for backtracking
on $n$ alternative strategies. Backtracking is performed on goals which are closed to the root proof obligation, hence
performing a kind of width-first search strategy, which tends to be more efficient in practice.
Backtracking is deactivated by default ($n=0$) and only used when \verb+-wp-auto+ is set.
\end{description}
The name of registered strategies is printed on console by using \texttt{-wp-auto '?'}. Custom strategies can be loaded by plug-ins, see below.
\paragraph{Definition} Unfold predicate and logic function definition\\
The user simply select a term $f(e_1,\ldots,e_n)$ or a predicate $P(e_1,\ldots,e_n)$ which is replaced by its definition, when available.
\paragraph{Filter} Erase Hypotheses \\
The tactic is always applicable. It removes hypotheses from the goal on a variable used basis. When variables are compounds (record and arrays) a finer heuristics is used to detect which parts of the variable is relevant. A transitive closure of dependencies is also used. However, it is always possible that too many hypotheses are removed.
The tactic also have a variant where only hypotheses \emph{not relevant} to the goal are retained. This is useful to find absurd hypotheses that are completely disjoint from the goal.
\paragraph{Havoc} Go Through Assigns \\
This is a variant of the \texttt{Lemma} tactic dedicated to \texttt{Havoc} predicate generate by complex assigns clause. The user select an address, and if the address is not assigned by the \texttt{Havoc} clause, the memory at this address is unchanged.
\paragraph{Instance} Instantiate properties\\
The user selects a hypothesis with one or several $\forall$ quantifiers, or an $\exists$ quantified goal. Then, with the composer, the use choose to instantiate one or several of the quantified parameters. In case of $\forall$ quantifier over integer, a range of values can be instantiated instead.
The user start by selecting a term in the goal. Then, the search button in the tactic panel will display a list of lemma related to the term. Then, he can instantiate the parameters of the lemma, like with the Instance tactic.
\paragraph{Intuition} Decompose with Conjunctive/Disjunctive Normal Form\\
The user can select a hypothesis or a goal with nested conjunctions and disjunctions. The tactics then computes the conjunctive or disjunctive normal form of the selection and split the goal accordingly.
\paragraph{Range} Enumerate a range of values for an integer term\\
The user select any integer expression $e$ in the proof, and a range of numerical values $a\ldots b$. The proof goes by case for each $e=a\ldots e=b$, plus the side cases $e<a$ and $e>b$:
$$\TACTIC{\Delta\models\,G}{%
\begin{array}[t]{ll}
\Delta,e<a &\models G \\
\Delta,e=a &\models G \\
&\vdots\\
\Delta,e=b &\models G \\
\Delta,e>b &\models G
\end{array}}$$
\paragraph{Lemma} Search \& Instantiate Lemma\\
The user start by selecting a term in the goal. Then, the search button in the tactic panel will display a list of lemma related to the term. Then, he can instantiate the parameters of the lemma, like with the Instance tactic.
\paragraph{Rewrite} Replace Terms\\
This tactic uses an equality in a hypothesis to replace each occurrence of term by another one.
...
...
@@ -348,9 +353,6 @@ The original equality hypothesis is removed from the goal.
This tactic decompose a \texttt{separated}$(a,n,b,m)$ predicate into its four base cases: $a$ and $b$ have different bases, $a+n \leq b$, $b+m \leq a$, and $a[0..n-1]$ and $b[0..m-1]$ overlaps. The regions are separated in the first three cases, and not separated in the overlapping case. This is kind of normal disjunctive form of the separation clause.
\paragraph{Split} Decompose Logical Connectives and Conditionals\\
This is the most versatile available tactic. It decompose merely any logical operator following the sequent calculus rules. Typically:
...
...
@@ -376,7 +378,8 @@ When the user selects a arbitrary boolean expression $e$, the tactic is similar
\Delta,\neg e\models G
\end{array}}\]
Finally, when the user select a arithmetic comparison over $a$ and $b$, the tactics makes a split over $a=b$, $a<b$ and $a>b$:
Finally, when the user select a arithmetic comparison over $a$ and $b$,
the tactics makes a split over $a=b$, $a<b$ and $a>b$:
\[\TACTIC{\Delta\models\,G}{%
\begin{array}[t]{ll}
\Delta,a<b&\models G \\
...
...
@@ -384,49 +387,7 @@ Finally, when the user select a arithmetic comparison over $a$ and $b$, the tact
\Delta,a>b&\models G
\end{array}}\]
\paragraph{Definition} Unfold predicate and logic function definition\\
The user simply select a term $f(e_1,\ldots,e_n)$ or a predicate $P(e_1,\ldots,e_n)$ which is replaced by its definition, when available.
\paragraph{Bitwise} Decompose equalities over $N$-bits\\
The use selects an integer equality and a number of bits.
Providing the two members of the equality are in range $0..2^N-1$,
the equality is decomposed into $N$ bit-tests equalities:
\paragraph{Induction} Start a proof by integer induction \\
The user select any integer expression $e$ in the proof and a base value $b$ (which defaults to
0). The tactic generates a proof by induction on $e$, that is, the base case
$e = b$ and then the cases $e < b$ and $b < e$. Formally, the initial goal
$\Delta_0\models\,G_0$ is first generalized into $\Delta,P(e)\models\,Q(e)$. The tactic
then proceed by (strong) induction over $n$ for
$G(n)\equiv P(n)\Longrightarrow\,Q(n)$:
\[\TACTIC{\Delta\models\,G(n)}{%
\begin{array}[t]{lll}
\Delta,\;\quad n = b &\models G(n)\\
\Delta,\;\forall i,\, b \leq i < n \Longrightarrow G(i)\;&\models G(n)\\
\Delta,\;\forall i,\, n < i \leq b \Longrightarrow G(i)\;&\models G(n)
\end{array}}\]
\paragraph{Overflow} Integer Conversions \\
This tactic rewrites machine integer conversions by identify,
This tactic rewrites machine integer conversions by identity,
providing the converted value is in available range. The tactic applies on expression
with pattern $\mathtt{to\_iota(e)}$ where \texttt{iota} is a a machine-integer name,
\emph{eg.}\texttt{to\_uint32}.
...
...
@@ -485,33 +483,54 @@ with pattern $\mathtt{to\_iota(e)}$ where \texttt{iota} is a a machine-integer n
where $\sigma=[\mathtt{to\_iota}(e)\mapsto e ]$ and $[a..b]$ is the range
of the \texttt{iota} integer domain.
\subsection{Strategies}
\paragraph{Range} Enumerate a range of values for an integer term\\
The user select any integer expression $e$ in the proof, and a range of numerical values $a\ldots b$. The proof goes by case for each $e=a\ldots e=b$, plus the side cases $e<a$ and $e>b$:
$$\TACTIC{\Delta\models\,G}{%
\begin{array}[t]{ll}
\Delta,e<a &\models G \\
\Delta,e=a &\models G \\
&\vdots\\
\Delta,e=b &\models G \\
\Delta,e>b &\models G
\end{array}}$$
Strategies are heuristics that generate a prioritized bunch of tactics to be tried on the current goal.
Few built-in strategies are provided by the \textsf{WP} plug-in ; however, the user can extends the proof editor with
custom ones, as explained in section~\ref{wp-custom-tactics} below.
\paragraph{Shift} Transform logical shifts into arithmetics\\
For positive integers, logical shifts such as \lstinline{a << k}
and \lstinline{a >> k} where \lstinline$k$ is a constant can be interpreted into a multiplication or a division by $2^k$.
To run strategies, the interactive proof editor provide a single button \texttt{Strategies} in the tactic panel.
Configure the heuristics you want to include in your try, then click the button. The generated with highest priority is immediately applied. The proof summary now display \texttt{backtrack} buttons revealing proof nodes where alternative tactics are available. You can use those backtracking button to cycle over the generated tactics.
When selecting a logical-shift, the tactic performs:
\[\TACTIC{\Delta\models G}{%
\begin{array}[t]{rcl}
\Delta\phantom{)}&\models&0\leq a \\
\sigma(\Delta)&\models&\sigma(G)
\end{array}
}\]
where:
\begin{tabular}[t]{ll}
$\sigma=[\mathtt{lsl}(a,k)\leftarrow a *2^k ]$&
for left-shift, \\
$\sigma=[\mathtt{lsr}(a,k)\leftarrow a /2^k ]$&
for right-shifts.
\end{tabular}
Of course, strategies are meant to be used multiple times, in sequence. Recall that strategies apply highest priority tactic first, on the current goal. When using strategies several times, you shall see several \texttt{backtrack}ing buttons in your proof script. You backtrack from any point at any time.
\subsection{Domain Specific Tactics}
You shall also alternate strategies \emph{and} manually triggered tactics. Though, strategies are only used to
\emph{infer} or \emph{suggest} interesting tactics to the user. Once your are finished with your proved, only the tactics are saved in the script, not the strategies used to find them. Hence, replaying a script generated with strategies would not involve backtracking any more. The script will directly replay your chosen alternatives.
The use select an expression $e\equiv a[k_1\mapsto v][k_2]$. Then:
It is also possible to call strategies from the command line, with option \texttt{-wp-auto}. The strategies are tried up to some depth, and while a limited number of pending goals
remains unproved by \textsf{Qed} or the selected provers. More precisely:
\begin{description}
\item[\tt -wp-auto s,...] applies strategies \texttt{s,...} recursively to unproved goals.
\item[\tt -wp-auto-depth <$n$>] limit recursive application of strategies to depth $n$ (default is 5).
\item[\tt -wp-auto-width <$n$>] limit application of strategies when there is less than $n$ pending goals (default is 10).
\item[\tt -wp-auto-backtrack <$n$>] when the first tried strategies do not close a branch, allows for backtracking
on $n$ alternative strategies. Backtracking is performed on goals which are closed to the root proof obligation, hence
performing a kind of width-first search strategy, which tends to be more efficient in practice.
Backtracking is deactivated by default ($n=0$) and only used when \verb+-wp-auto+ is set.
\end{description}
\[
\TACTIC{\Delta\models\,G}{%
\begin{array}[t]{ll}
\Delta,\,k_1=k_2,\,e = v &\models G \\
\Delta,\,k_1\neq k_2,\,e = a[k_2]&\models G
\end{array}
}\]
The name of registered strategies is printed on console by using \texttt{-wp-auto '?'}. Custom strategies can be loaded by plug-ins, see below.
\paragraph{Havoc} Go Through Assigns \\
This is a variant of the \texttt{Lemma} tactic dedicated to \texttt{Havoc} predicate generate by complex assigns clause. The user select an address, and if the address is not assigned by the \texttt{Havoc} clause, the memory at this address is unchanged.
\paragraph{Separated} Expand Separation Cases\\
This tactic decompose a \texttt{separated}$(a,n,b,m)$ predicate into its four base cases: $a$ and $b$ have different bases, $a+n \leq b$, $b+m \leq a$, and $a[0..n-1]$ and $b[0..m-1]$ overlaps. The regions are separated in the first three cases, and not separated in the overlapping case. This is kind of normal disjunctive form of the separation clause.