Release check.

tomonori-93 · Apr 2, 2024 · 85f9dec · 85f9dec
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diff --git a/Lilly1966/.ipynb_checkpoints/OSE_solve-checkpoint.ipynb b/Lilly1966/.ipynb_checkpoints/OSE_solve-checkpoint.ipynb
diff --git a/Lilly1966/.ipynb_checkpoints/OSE_solve_Orszag1971-checkpoint.ipynb b/Lilly1966/.ipynb_checkpoints/OSE_solve_Orszag1971-checkpoint.ipynb
diff --git a/Lilly1966/.ipynb_checkpoints/OSE_solve_finite-checkpoint.ipynb b/Lilly1966/.ipynb_checkpoints/OSE_solve_finite-checkpoint.ipynb
diff --git a/Lilly1966/OSE_solve.ipynb b/Lilly1966/OSE_solve.ipynb
@@ -74,7 +74,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 3,
    "id": "7e7d6392",
    "metadata": {},
    "outputs": [
@@ -614,58 +614,33 @@
     "Dcal = F.α ./ F.β\n",
     "for i in 1:Ntot\n",
     "    println(\"Schur(Eig): \", Dcal[i])\n",
-    "end\n",
-    "\n"
+    "end\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
-   "id": "1255c473",
+   "execution_count": 4,
+   "id": "d6476cfa",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/latex": [
-       "The analogue of IPython's \\texttt{\\%matplotlib} in Julia is to use the \\href{https://github.com/stevengj/PyPlot.jl}{PyPlot package}, which gives a Julia interface to Matplotlib including inline plots in IJulia notebooks.   (The equivalent of \\texttt{numpy} is already loaded by default in Julia.)\n",
-       "\n",
-       "Given PyPlot, the analogue of \\texttt{\\%matplotlib inline} is \\texttt{using PyPlot}, since PyPlot defaults to inline plots in IJulia.\n",
-       "\n",
-       "To enable separate GUI windows in PyPlot, analogous to \\texttt{\\%matplotlib}, do \\texttt{using PyPlot; pygui(true)}.   To specify a particular gui backend, analogous to \\texttt{\\%matplotlib gui}, you can either do \\texttt{using PyPlot; pygui(:gui); using PyPlot; pygui(true)} (where \\texttt{gui} is \\texttt{wx}, \\texttt{qt}, \\texttt{tk}, or \\texttt{gtk}), or you can do \\texttt{ENV[\"MPLBACKEND\"]=backend; using PyPlot; pygui(true)} (where \\texttt{backend} is the name of a Matplotlib backend, like \\texttt{tkagg}).\n",
-       "\n",
-       "For more options, see the PyPlot documentation.\n",
-       "\n"
-      ],
-      "text/markdown": [
-       "The analogue of IPython's `%matplotlib` in Julia is to use the [PyPlot package](https://github.com/stevengj/PyPlot.jl), which gives a Julia interface to Matplotlib including inline plots in IJulia notebooks.   (The equivalent of `numpy` is already loaded by default in Julia.)\n",
-       "\n",
-       "Given PyPlot, the analogue of `%matplotlib inline` is `using PyPlot`, since PyPlot defaults to inline plots in IJulia.\n",
-       "\n",
-       "To enable separate GUI windows in PyPlot, analogous to `%matplotlib`, do `using PyPlot; pygui(true)`.   To specify a particular gui backend, analogous to `%matplotlib gui`, you can either do `using PyPlot; pygui(:gui); using PyPlot; pygui(true)` (where `gui` is `wx`, `qt`, `tk`, or `gtk`), or you can do `ENV[\"MPLBACKEND\"]=backend; using PyPlot; pygui(true)` (where `backend` is the name of a Matplotlib backend, like `tkagg`).\n",
-       "\n",
-       "For more options, see the PyPlot documentation.\n"
-      ],
       "text/plain": [
-       "  The analogue of IPython's \u001b[36m%matplotlib\u001b[39m in Julia is to use the PyPlot package\n",
-       "  (https://github.com/stevengj/PyPlot.jl), which gives a Julia interface to\n",
-       "  Matplotlib including inline plots in IJulia notebooks. (The equivalent of\n",
-       "  \u001b[36mnumpy\u001b[39m is already loaded by default in Julia.)\n",
-       "\n",
-       "  Given PyPlot, the analogue of \u001b[36m%matplotlib inline\u001b[39m is \u001b[36musing PyPlot\u001b[39m, since\n",
-       "  PyPlot defaults to inline plots in IJulia.\n",
-       "\n",
-       "  To enable separate GUI windows in PyPlot, analogous to \u001b[36m%matplotlib\u001b[39m, do \u001b[36musing\n",
-       "  PyPlot; pygui(true)\u001b[39m. To specify a particular gui backend, analogous to\n",
-       "  \u001b[36m%matplotlib gui\u001b[39m, you can either do \u001b[36musing PyPlot; pygui(:gui); using PyPlot;\n",
-       "  pygui(true)\u001b[39m (where \u001b[36mgui\u001b[39m is \u001b[36mwx\u001b[39m, \u001b[36mqt\u001b[39m, \u001b[36mtk\u001b[39m, or \u001b[36mgtk\u001b[39m), or you can do\n",
-       "  \u001b[36mENV[\"MPLBACKEND\"]=backend; using PyPlot; pygui(true)\u001b[39m (where \u001b[36mbackend\u001b[39m is the\n",
-       "  name of a Matplotlib backend, like \u001b[36mtkagg\u001b[39m).\n",
-       "\n",
-       "  For more options, see the PyPlot documentation."
+       "Figure(PyObject <Figure size 700x500 with 1 Axes>)"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "Figure(PyObject <Figure size 700x500 with 1 Axes>)"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -701,17 +676,17 @@
     "fig.canvas.draw()\n",
     "gcf() # Needed for IJulia to plot inline\n",
     "\n",
-    "ttext = \"OSE spectra: Re = $(Re), α = $(α)\"\n",
-    "title(ttext)\n",
+    "#ttext = \"OSE spectra: Re = $(Re), α = $(α)\"\n",
+    "#title(ttext)\n",
     "\n",
-    "fname = \"test.png\"\n",
-    "savefig(fname)"
+    "#fname = \"test.png\"\n",
+    "#savefig(fname)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "026799fc",
+   "id": "529487ab",
    "metadata": {},
    "outputs": [],
    "source": []

diff --git a/Lilly1966/OSE_solve_Orszag1971.ipynb b/Lilly1966/OSE_solve_Orszag1971.ipynb
@@ -586,15 +586,15 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Julia 1.4.1",
+   "display_name": "Julia 1.6.1",
    "language": "julia",
-   "name": "julia-1.4"
+   "name": "julia-1.6"
   },
   "language_info": {
    "file_extension": ".jl",
    "mimetype": "application/julia",
    "name": "julia",
-   "version": "1.4.1"
+   "version": "1.6.1"
   }
  },
  "nbformat": 4,

diff --git a/Lilly1966/OSE_solve_finite.ipynb b/Lilly1966/OSE_solve_finite.ipynb
@@ -396,7 +396,7 @@
     {
      "data": {
       "text/plain": [
-       "20×20×20 Array{Complex{Float64},3}:\n",
+       "20×20×20 Array{ComplexF64, 3}:\n",
        "[:, :, 1] =\n",
        " 0.864005+0.749363im   0.804944+0.14258im    …  -0.866025-0.0236016im\n",
        " 0.864131-0.0178902im  0.803465-0.0170507im     -0.869369-0.0216414im\n",