Notebooks: correct typos
* tests/python/acc_cond.ipynb, tests/python/contains.ipynb, tests/python/decompose.ipynb, tests/python/games.ipynb, tests/python/randltl.ipynb, tests/python/synthesis.ipynb, tests/python/testingaut.ipynb: here.
This commit is contained in:
Florian Renkin
parent
c72c285552
commit
d4967f20e9
7 changed files with 19 additions and 35 deletions
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@ -542,7 +542,7 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"The manipulation of `acc_code` objects is quite rudimentary at the moment: they are easy to build, but are harder take appart. In fact we won't attempt to disassemble an `acc_code` object in Python: those things are better done in C++\n",
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"The manipulation of `acc_code` objects is quite rudimentary at the moment: they are easy to build, but are harder take appart. In fact we won't attempt to disassemble an `acc_code` object in Python: those things are better done in C++.\n",
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"\n",
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"Operators `|`, `|=`, `&`, `&=`, `<<`, and `<<=` can be used with their obvious semantics.\n",
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"Whenever possible, the inplace versions (`|=`, `&=`, `<<=`) should be prefered, because they create less temporary acceptance conditions."
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@ -1501,9 +1501,9 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.2"
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"version": "3.7.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 4
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}
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@ -310,7 +310,7 @@
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"source": [
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"# Help for distinguishing languages\n",
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"\n",
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"Assume you have computed two automata, that `are_equivalent(a1, a2)` returns `False`, and you want to know why. (This often occur when debugging some algorithm that produce an automaton that is not equivalent to which it should.) The automaton class has a method called `a1.exclusive_run(a2)` that can help with this task: it returns a run that recognizes a word is is accepted by one of the two automata but not by both. The method `a1.exclusive_run(a2)` will return just a word.\n",
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"Assume you have computed two automata, that `are_equivalent(a1, a2)` returns `False`, and you want to know why. (This often occur when debugging some algorithm that produce an automaton that is not equivalent to which it should.) The automaton class has a method called `a1.exclusive_run(a2)` that can help with this task: it returns a run that recognizes a word is is accepted by one of the two automata but not by both. The method `a1.exclusive_word(a2)` will return just a word.\n",
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"\n",
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"For instance let's find a word that is exclusive between `aut_f` and `aut_g`. (The adjective *exlusive* is a reference to the *exclusive or* operator: the word belongs to L(aut_f) \"xor\" it belongs to L(aut_g).)"
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]
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@ -509,5 +509,5 @@
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 4
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}
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@ -5950,13 +5950,6 @@
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"source": [
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"spot.decompose_scc(si, 'a2')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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@ -5975,9 +5968,9 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.2"
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"version": "3.7.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 4
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}
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@ -19,7 +19,7 @@
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"\n",
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"The support for games is currently quite rudimentary, as Spot currently only uses those games in `ltlsynt`.\n",
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"\n",
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"In essence, agame is just an ω-automaton with a property named `state-player` that stores the player owning each state. The players are named 0 and 1. The player owning a state can decide what the next transition from this state should be. The goal for player 1 is to force the play to be infinite and to satisfy the acceptance condition of the automaton, while the goal for player 0 is to prevent it by either forcing a finite play, or forcing an infinite play that does not satisfy the acceptance condition.\n",
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"In essence, a game is just an ω-automaton with a property named `state-player` that stores the player owning each state. The players are named 0 and 1. The player owning a state can decide what the next transition from this state should be. The goal for player 1 is to force the play to be infinite and to satisfy the acceptance condition of the automaton, while the goal for player 0 is to prevent it by either forcing a finite play, or forcing an infinite play that does not satisfy the acceptance condition.\n",
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"\n",
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"The support is currently restricted to games that use:\n",
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"- `t` acceptance: all infinite run are accepting, and player 0 can only win if it manages to force a finite play (this requires reaching states without successors).\n",
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@ -218,7 +218,7 @@
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" (6, 7),\n",
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" (7, 6), (7, 8),\n",
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" (8, 5)):\n",
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" game.new_edge(s, d, bddtrue)\n",
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" game.new_edge(s, d, bddtrue)\n",
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"spot.set_state_players(game, [True, False, True, False, True, True, True, False, False])\n",
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"game.show('.g') # Use \"g\" to hide the irrelevant edge labels."
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]
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@ -678,9 +678,7 @@
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {
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"scrolled": false
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},
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"metadata": {},
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"outputs": [
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{
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"data": {
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@ -1326,7 +1324,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.2"
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"version": "3.7.3"
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}
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},
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"nbformat": 4,
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@ -477,7 +477,7 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"most boolean functions found in the class formula can be used to filter the random formula generator like this:"
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"most Boolean functions found in the class formula can be used to filter the random formula generator like this:"
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]
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},
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{
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@ -541,7 +541,7 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Since the boolean filters and mapping functions return an iterator of the same type, these operations can be chained like this:"
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"Since the Boolean filters and mapping functions return an iterator of the same type, these operations can be chained like this:"
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]
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},
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{
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@ -613,9 +613,9 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.4+"
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"version": "3.7.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 4
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}
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@ -3619,7 +3619,7 @@
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"\n",
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"Note that we do not support the full [AIGER syntax](http://fmv.jku.at/aiger/FORMAT.aiger). Our restrictions corresponds to the conventions used in the type of AIGER file we output:\n",
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"- Input variables start at index 2 and are consecutively numbered.\n",
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"- Latch variables start at index (1 + #inputs) * 2 and are consecutively numbered.\n",
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"- Latch variables start at index (1 + #inputs) × 2 and are consecutively numbered.\n",
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"- If some inputs or outputs are named in comments, all of them have to be named.\n",
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"- Gate number $n$ can only connect to latches, inputs, or previously defined gates ($<n$)."
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]
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@ -17,7 +17,7 @@
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"source": [
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"To translate a formula into a Testing Automaton\n",
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"\n",
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"Start by building a Buchi automaton"
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"Start by building a Büchi automaton"
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]
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},
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{
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@ -723,13 +723,6 @@
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"source": [
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"spot.minimize_ta(ta).show('.A')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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@ -748,9 +741,9 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.2"
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"version": "3.7.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 4
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}
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