Don't "delay PyPlot init": breaks precompilation (and init?) of pkgs depending on PyPlot

i.e. no longer do this JuliaPy/PyPlot.jl#480

Author: tfiers

nb/2022-09-15__Two-pass_conntest_ptp-then-cor.ipynb

@@ -10,7 +10,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9d08a6ac",
+   "id": "b1507681",
    "metadata": {},
    "source": [
     "Two-pass connection test: peak-to-peak, then correlation with found average"
@@ -26,14 +26,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "id": "e8eabfaa",
+   "execution_count": 4,
+   "id": "1a27acb6",
    "metadata": {},
    "outputs": [],
    "source": [
     "#"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "bee3b159",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Revise\n",
+    "import PyPlot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dbc0f21d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "PyPlot."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "30d87cbe",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": 2,
@@ -56,9 +85,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mPrecompiling VoltoMapSim [f713100b-c48c-421a-b480-5fcb4c589a9e]\n",
-      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mSkipping precompilation since __precompile__(false). Importing VoltoMapSim [f713100b-c48c-421a-b480-5fcb4c589a9e].\n",
-      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mPrecompiling Sciplotlib [61be95e5-9550-4d5f-a203-92a5acbc3116]\n"
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mPrecompiling VoltoMapSim [f713100b-c48c-421a-b480-5fcb4c589a9e]\n"
      ]
     }
    ],
@@ -105,7 +132,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "af42d809",
+   "id": "89a2ffe4",
    "metadata": {
     "scrolled": false
    },
@@ -124,7 +151,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1e9f39a2",
+   "id": "d88c266e",
    "metadata": {},
    "source": [
     "(To speed this up (precompile this further): investigate with SnoopCompile or JET. Not now)."
@@ -142,15 +169,15 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9bc73355",
+   "id": "0c755c58",
    "metadata": {},
    "source": [
     "## First pass: peak-to-peak"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "2b4c0308",
+   "id": "bf6cdb2d",
    "metadata": {},
    "source": [
     "Let's start with just neuron 1 as postsyn."
@@ -159,7 +186,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "ee0b7433",
+   "id": "7683c9ca",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -169,7 +196,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "16409b9a",
+   "id": "e19ebaf6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -179,7 +206,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "23721462",
+   "id": "075d319f",
    "metadata": {},
    "outputs": [
     {
@@ -200,7 +227,7 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "id": "268dd91a",
+   "id": "5aabc8be",
    "metadata": {},
    "outputs": [
     {
@@ -242,7 +269,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a25554e7",
+   "id": "41e29f57",
    "metadata": {},
    "source": [
     "We take all inputs with `predicted_type` :exc.\n",
@@ -257,7 +284,7 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "9a545872",
+   "id": "597c3636",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -278,11 +305,36 @@
     "=#"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "7bd1e675",
+   "metadata": {},
+   "source": [
+    "Now\n",
+    "- Get the :exc input detections for neuron 1\n",
+    "- Average their STA\n",
+    "- Apply this template to STAs of all inputs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "f03e241e",
+   "metadata": {
+    "lines_to_next_cell": 0
+   },
+   "outputs": [],
+   "source": [
+    "# But first: cache STAs :)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "8b7e118c",
-   "metadata": {},
+   "id": "a52d7c5c",
+   "metadata": {
+    "lines_to_next_cell": 2
+   },
    "outputs": [],
    "source": []
   }
@@ -293,15 +345,15 @@
    "formats": "ipynb,jl:light"
   },
   "kernelspec": {
-   "display_name": "Julia-preloaded 1.7.0",
+   "display_name": "Julia 1.8.1",
    "language": "julia",
-   "name": "julia-preloaded-1.7"
+   "name": "julia-1.8"
   },
   "language_info": {
    "file_extension": ".jl",
    "mimetype": "application/julia",
    "name": "julia",
-   "version": "1.7.0"
+   "version": "1.8.1"
   },
   "toc": {
    "base_numbering": 1,

nb/2022-09-15__Two-pass_conntest_ptp-then-cor.jl

@@ -9,9 +9,9 @@
 #       format_version: '1.5'
 #       jupytext_version: 1.13.7
 #   kernelspec:
-#     display_name: Julia-preloaded 1.7.0
+#     display_name: Julia 1.8.1
 #     language: julia
-#     name: julia-preloaded-1.7
+#     name: julia-1.8
 # ---
 
 # # 2022-09-15 • Two-pass connection test: ptp, then corr with found avg
@@ -24,6 +24,13 @@
 #
 # -
 
+using Revise
+import PyPlot
+
+PyPlot.
+
+
+
 using MyToolbox
 
 using VoltoMapSim
@@ -89,4 +96,13 @@ So.. we could indeed store these shuffled STAs.. it's just 1000 samples per.
 =#
 # -
 
+# Now
+# - Get the :exc input detections for neuron 1
+# - Average their STA
+# - Apply this template to STAs of all inputs
+
+# +
+# But first: cache STAs :)
+# -
+
 

pkg/Sciplotlib

@@ -1,6 +1,3 @@
-__precompile__(false)
-# See note at top of Sciplotlib.jl
-
 module VoltoMapSim
 
 using MyToolbox: @reexport

pkg/VoltoMapSim/src/VoltoMapSim.jl

@@ -16,5 +16,4 @@ create_sysimage(
     ];
     sysimage_path               = "mysys.dll",
     precompile_execution_file   = "to_precompile.jl",
-    script                      = "pyplot_delay_init.jl",
 )