diff --git a/examples/graphviz-engines.ipynb b/examples/graphviz-engines.ipynb index 596459e78a..3efcfe29a3 100644 --- a/examples/graphviz-engines.ipynb +++ b/examples/graphviz-engines.ipynb @@ -8,7 +8,7 @@ { "data": { "text/plain": [ - "('0.19', (2, 40, 1))" + "('0.20.dev0', (2, 40, 1))" ] }, "execution_count": 1, @@ -17,7 +17,7 @@ } ], "source": [ - "#%cd -q ..\n", + "%cd -q ..\n", "\n", "import graphviz\n", "\n", @@ -90,7 +90,7 @@ "\n" ], "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -158,7 +158,7 @@ "\n" ], "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -226,7 +226,7 @@ "\n" ], "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -294,7 +294,7 @@ "\n" ], "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -362,7 +362,7 @@ "\n" ], "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -412,7 +412,7 @@ "\n" ], "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -480,7 +480,7 @@ "\n" ], "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -548,7 +548,7 @@ "\n" ], "text/plain": [ - "" + "" ] }, "metadata": {}, diff --git a/examples/graphviz-jupyter-format.ipynb b/examples/graphviz-jupyter-format.ipynb index bc48f05473..54bd107409 100644 --- a/examples/graphviz-jupyter-format.ipynb +++ b/examples/graphviz-jupyter-format.ipynb @@ -9,7 +9,7 @@ { "data": { "text/plain": [ - "('0.19', (2, 49, 3))" + "('0.20.dev0', (2, 40, 1))" ] }, "execution_count": 1, @@ -54,9 +54,9 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "" + "" ] }, "execution_count": 3, @@ -89,48 +89,49 @@ "\n", "\n", - "\n", - "\n", - "\n", + "\n", + "\n", "\n", - "\n", + "%3\n", + "\n", "\n", "\n", "A\n", - "\n", - "King Arthur\n", + "\n", + "King Arthur\n", "\n", "\n", "\n", "B\n", - "\n", - "Sir Bedevere the Wise\n", + "\n", + "Sir Bedevere the Wise\n", "\n", "\n", "\n", "A->B\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n", "L\n", - "\n", - "Sir Lancelot the Brave\n", + "\n", + "Sir Lancelot the Brave\n", "\n", "\n", "\n", "A->L\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n", "B->L\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n" @@ -163,7 +164,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.0" + "version": "3.7.12" } }, "nbformat": 4, diff --git a/examples/graphviz-notebook.ipynb b/examples/graphviz-notebook.ipynb index c2b74a92dc..22365b88e2 100644 --- a/examples/graphviz-notebook.ipynb +++ b/examples/graphviz-notebook.ipynb @@ -9,13 +9,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "[DEBUG@graphviz.backend.execute] run [WindowsPath('dot'), '-V']\n" + "[DEBUG@graphviz.backend.execute] run [PosixPath('dot'), '-V']\n" ] }, { "data": { "text/plain": [ - "('0.19', (2, 49, 3))" + "('0.20.dev0', (2, 40, 1))" ] }, "execution_count": 1, @@ -44,7 +44,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "[DEBUG@graphviz.backend.execute] run [WindowsPath('dot'), '-Kdot', '-Tsvg']\n" + "[DEBUG@graphviz.backend.execute] run [PosixPath('dot'), '-Kdot', '-Tsvg']\n" ] }, { @@ -53,54 +53,55 @@ "\n", "\n", - "\n", - "\n", - "\n", + "\n", + "\n", "\n", - "\n", + "%3\n", + "\n", "\n", "\n", "A\n", - "\n", - "King Arthur\n", + "\n", + "King Arthur\n", "\n", "\n", "\n", "B\n", - "\n", - "Sir Bedevere the Wise\n", + "\n", + "Sir Bedevere the Wise\n", "\n", "\n", "\n", "A->B\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n", "L\n", - "\n", - "Sir Lancelot the Brave\n", + "\n", + "Sir Lancelot the Brave\n", "\n", "\n", "\n", "A->L\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n", "B->L\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 2, @@ -130,7 +131,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "[DEBUG@graphviz.backend.execute] run [WindowsPath('dot'), '-Kdot', '-Tsvg']\n" + "[DEBUG@graphviz.backend.execute] run [PosixPath('dot'), '-Kdot', '-Tsvg']\n" ] }, { @@ -139,61 +140,61 @@ "\n", "\n", - "\n", "\n", "\n", "\n", "the holy hand grenade\n", - "\n", + "\n", "\n", "\n", "1\n", - "\n", - "1\n", + "\n", + "1\n", "\n", "\n", "\n", "2\n", - "\n", - "2\n", + "\n", + "2\n", "\n", "\n", "\n", "1->2\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n", "3\n", - "\n", - "3\n", + "\n", + "3\n", "\n", "\n", "\n", "2->3\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n", "lob\n", - "\n", - "lob\n", + "\n", + "lob\n", "\n", "\n", "\n", "3->lob\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 3, @@ -215,7 +216,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "[DEBUG@graphviz.backend.execute] run [WindowsPath('dot'), '-Kdot', '-Tsvg']\n" + "[DEBUG@graphviz.backend.execute] run [PosixPath('dot'), '-Kdot', '-Tsvg']\n" ] }, { @@ -224,175 +225,175 @@ "\n", "\n", - "\n", "\n", - "\n", - "\n", + "\n", + "\n", "finite_state_machine\n", - "\n", + "\n", "\n", "\n", "LR_0\n", - "\n", - "\n", - "LR_0\n", + "\n", + "\n", + "LR_0\n", "\n", "\n", "\n", "LR_2\n", - "\n", - "LR_2\n", + "\n", + "LR_2\n", "\n", "\n", "\n", "LR_0->LR_2\n", - "\n", - "\n", - "SS(B)\n", + "\n", + "\n", + "SS(B)\n", "\n", "\n", "\n", "LR_1\n", - "\n", - "LR_1\n", + "\n", + "LR_1\n", "\n", "\n", "\n", "LR_0->LR_1\n", - "\n", - "\n", - "SS(S)\n", + "\n", + "\n", + "SS(S)\n", "\n", "\n", "\n", "LR_3\n", - "\n", - "\n", - "LR_3\n", + "\n", + "\n", + "LR_3\n", "\n", "\n", "\n", "LR_4\n", - "\n", - "\n", - "LR_4\n", + "\n", + "\n", + "LR_4\n", "\n", "\n", "\n", "LR_8\n", - "\n", - "\n", - "LR_8\n", + "\n", + "\n", + "LR_8\n", "\n", "\n", "\n", "LR_6\n", - "\n", - "LR_6\n", + "\n", + "LR_6\n", "\n", "\n", "\n", "LR_8->LR_6\n", - "\n", - "\n", - "S(b)\n", + "\n", + "\n", + "S(b)\n", "\n", "\n", "\n", "LR_5\n", - "\n", - "LR_5\n", + "\n", + "LR_5\n", "\n", "\n", "\n", "LR_8->LR_5\n", - "\n", - "\n", - "S(a)\n", + "\n", + "\n", + "S(a)\n", "\n", "\n", "\n", "LR_2->LR_4\n", - "\n", - "\n", - "S(A)\n", + "\n", + "\n", + "S(A)\n", "\n", "\n", "\n", "LR_2->LR_6\n", - "\n", - "\n", - "SS(b)\n", + "\n", + "\n", + "SS(b)\n", "\n", "\n", "\n", "LR_2->LR_5\n", - "\n", - "\n", - "SS(a)\n", + "\n", + "\n", + "SS(a)\n", "\n", "\n", "\n", "LR_1->LR_3\n", - "\n", - "\n", - "S($end)\n", + "\n", + "\n", + "S($end)\n", "\n", "\n", "\n", "LR_6->LR_6\n", - "\n", - "\n", - "S(b)\n", + "\n", + "\n", + "S(b)\n", "\n", "\n", "\n", "LR_6->LR_5\n", - "\n", - "\n", - "S(a)\n", + "\n", + "\n", + "S(a)\n", "\n", "\n", "\n", "LR_5->LR_5\n", - "\n", - "\n", - "S(a)\n", + "\n", + "\n", + "S(a)\n", "\n", "\n", "\n", "LR_7\n", - "\n", - "LR_7\n", + "\n", + "LR_7\n", "\n", "\n", "\n", "LR_5->LR_7\n", - "\n", - "\n", - "S(b)\n", + "\n", + "\n", + "S(b)\n", "\n", "\n", "\n", "LR_7->LR_8\n", - "\n", - "\n", - "S(b)\n", + "\n", + "\n", + "S(b)\n", "\n", "\n", "\n", "LR_7->LR_5\n", - "\n", - "\n", - "S(a)\n", + "\n", + "\n", + "S(a)\n", "\n", "\n", "\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 4, @@ -441,7 +442,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "[DEBUG@graphviz.backend.execute] run [WindowsPath('dot'), '-Kdot', '-Tsvg']\n" + "[DEBUG@graphviz.backend.execute] run [PosixPath('dot'), '-Kdot', '-Tsvg']\n" ] }, { @@ -450,141 +451,141 @@ "\n", "\n", - "\n", "\n", "\n", "\n", "G\n", - "\n", + "\n", "\n", "cluster0\n", - "\n", + "\n", "\n", "\n", "cluster1\n", - "\n", + "\n", "\n", "\n", "\n", "a\n", - "\n", - "a\n", + "\n", + "a\n", "\n", "\n", "\n", "b\n", - "\n", - "b\n", + "\n", + "b\n", "\n", "\n", "\n", "a->b\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n", "c\n", - "\n", - "c\n", + "\n", + "c\n", "\n", "\n", "\n", "a->c\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n", "d\n", - "\n", - "d\n", + "\n", + "d\n", "\n", "\n", "\n", "b->d\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n", "f\n", - "\n", - "f\n", + "\n", + "f\n", "\n", "\n", "\n", "b->f\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n", "c->d\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n", "e\n", - "\n", - "e\n", + "\n", + "e\n", "\n", "\n", "\n", "c->e\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n", "g\n", - "\n", - "g\n", + "\n", + "g\n", "\n", "\n", "\n", "c->g\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n", "d->e\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n", "h\n", - "\n", - "h\n", + "\n", + "h\n", "\n", "\n", "\n", "d->h\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n", "e->g\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n", "e->f\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 5, @@ -631,9 +632,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.0" + "version": "3.7.12" } }, "nbformat": 4, - "nbformat_minor": 1 + "nbformat_minor": 4 }