From 72110d88200b2ebfde6cf74294838ef13dbf5c4c Mon Sep 17 00:00:00 2001
From: Tetsu Haruyama <tetsu.yes@gmail.com>
Date: Wed, 6 Mar 2024 22:32:17 +0900
Subject: [PATCH] flow for if

---
 1_Basics_IV.ipynb | 6791 +++++++++++++++++++++++++++++++++++++++++++--
 1 file changed, 6633 insertions(+), 158 deletions(-)

diff --git a/1_Basics_IV.ipynb b/1_Basics_IV.ipynb
index 2558a97f..8b6bf946 100644
--- a/1_Basics_IV.ipynb
+++ b/1_Basics_IV.ipynb
@@ -18,7 +18,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -50,9 +50,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "15\n"
+     ]
+    }
+   ],
    "source": [
     "x = 10        #1\n",
     "y = 5         #2\n",
@@ -75,13 +83,1635 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 32,
    "metadata": {
     "tags": [
-     "remove-input"
+     "hide-input"
     ]
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+       "z\n",
+       "M 1172 556 \n",
+       "L 1894 556 \n",
+       "Q 3853 556 3853 2356 \n",
+       "Q 3853 4147 1928 4147 \n",
+       "L 1172 4147 \n",
+       "L 1172 556 \n",
+       "z\n",
+       "\" transform=\"scale(0.015625)\"/>\n",
+       "     </defs>\n",
+       "     <use xlink:href=\"#IPAexGothic-45\"/>\n",
+       "     <use xlink:href=\"#IPAexGothic-4e\" x=\"59.521484\"/>\n",
+       "     <use xlink:href=\"#IPAexGothic-44\" x=\"135.498047\"/>\n",
+       "    </g>\n",
+       "   </g>\n",
+       "  </g>\n",
+       " </g>\n",
+       " <defs>\n",
+       "  <clipPath id=\"pcd1d4bc47a\">\n",
+       "   <rect x=\"3.6\" y=\"3.6\" width=\"106.92\" height=\"328.68\"/>\n",
+       "  </clipPath>\n",
+       " </defs>\n",
+       "</svg>\n"
+      ],
+      "text/plain": [
+       "<schemdraw.backends.mpl.Figure object at 0x116354490>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "from schemdraw import flow\n",
     "import schemdraw\n",
@@ -104,7 +1734,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "一番最初と最後の横長丸枠は，プログラムの始まり（`START`）と終わり（`END`）を表す。長方形枠はコードの処理，そして，矢印はプログラムの実行の順番（フロー）を意味する。単純な例となるので，上から下に一直線の実行フローとなっている。より複雑なコードの場合，矢印が横向きや上向きになったりもし，枠も様々な形を使い実行フローを表現することになる。以下では，枠は次の３種類だけを使い制御フローをシンプルな形で表すことにする。\n",
+    "一番最初と最後の横長丸枠は，プログラムの始まり（`START`）と終わり（`END`）を表す。長方形枠はコードの処理，そして，矢印はプログラムの実行の順番（フロー）を意味する。単純な例なので，上から下に一直線の実行フローとなっている。より複雑なコードの場合，矢印が横向きや上向きになったりもし，枠も様々な形を使い実行フローを表現することになる。以下では，枠は次の３種類だけを使い制御フローをシンプルな形で表すことにする。\n",
     "* 横長丸枠（端子）：プログラムの始まりと終わり\n",
     "* 長方形枠（処理）：コードの処理\n",
     "* 菱形（判断）：条件分岐\n",
@@ -121,20 +1751,22 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "heading_collapsed": true
-   },
+   "metadata": {},
    "source": [
     "### 説明と簡単な例"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "hidden": true
-   },
+   "metadata": {},
+   "source": [
+    "`if`文を使うと，指定した条件によって処理を複数パターンに分けることができる。条件をブール型（真偽）（`True`又は`False`）で判断しコードを実行することになる。次の構文となる。"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "`if`文を使うと，指定した条件によって処理を複数パターンに分けることができる。条件をブール型（真偽）（`True`又は`False`）で判断しコードを実行することになる。次の構文となる。\n",
     "```\n",
     "if ＜条件１＞:\n",
     "    ＜条件１が`True`の場合に実行するコード＞\n",
@@ -152,73 +1784,4480 @@
     "* `＜条件...がTrueの場合に実行するコード＞`の行はインデント（４つの半角スペース）されている。\n",
     "* `elif`（else ifの略）の行も`:`で終わる。\n",
     "* `else`の行も`:`で終わる。\n",
+    "* 条件が１つの場合は，`elif`がある行を書く必要はない。\n",
+    "* `else`の行は省略可能。その場合は，次のコードと等しい。\n",
+    "    \n",
+    "    ```\n",
+    "    else:\n",
+    "        pass\n",
+    "    ```\n",
+    "  即ち，「全ての条件が`False`の場合は何も実行しない」という意味になる。\n",
     "\n",
-    "例を考えよう。"
+    "条件が１つの例を考えよう。"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "hidden": true
-   },
-   "outputs": [],
-   "source": [
-    "x = 10\n",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "条件はTrueです。\n"
+     ]
+    }
+   ],
+   "source": [
+    "x = 10                        #1\n",
     "\n",
-    "if x == 10:                   # 1\n",
-    "    print('条件はTrueです。')    # 2\n",
+    "if x == 10:                   #2\n",
+    "    print('条件はTrueです。')    #3\n",
     "\n",
-    "else:                         # 3\n",
-    "    print('条件はFalseです。')   # 4"
+    "else:                         #4\n",
+    "    print('条件はFalseです。')   #5"
    ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "＜コードのの説明＞\n",
+    "* `#1`：`10`を`x`に割り当てる。\n",
+    "* `#2`：`x`が`10`と等しいかを判断する。\n",
+    "     * `x==10`が`True`の場合は，`#3`が実行され，`条件はTrueです。`が表示さる。コード・セルの実行はこれで終了する。\n",
+    "     * `x==10`が`False`の場合は，`#3`は実行されず，`#4`に進む。\n",
+    "* `#4`から`x==10`が`False`のケースがはじまる。\n",
+    "* `#5`が実行され，`条件はFalseです。`が表示さる。コード・セルの実行はこれで終了する。\n",
+    "\n",
+    "もちろん，上のコード・セルを実行すると，`#3`で処理は終了することになる。この`if`文をフローチャートで表してみよう。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
    "metadata": {
-    "hidden": true
+    "tags": [
+     "hide-input"
+    ]
    },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+       "     </defs>\n",
+       "     <use xlink:href=\"#IPAexGothic-306e\"/>\n",
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+       "     </defs>\n",
+       "     <use xlink:href=\"#IPAexGothic-45\"/>\n",
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+       "    </g>\n",
+       "   </g>\n",
+       "   <g id=\"text_8\">\n",
+       "    <!-- 「条件はFalseです。」 -->\n",
+       "    <g transform=\"translate(213.950352 165.618672) scale(0.125 -0.125)\">\n",
+       "     <use xlink:href=\"#IPAexGothic-300c\"/>\n",
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+       "     <use xlink:href=\"#IPAexGothic-300d\" x=\"942.236328\"/>\n",
+       "    </g>\n",
+       "    <!-- の表示 -->\n",
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+       "   <g id=\"text_9\">\n",
+       "    <!-- END -->\n",
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+       "  </g>\n",
+       " </g>\n",
+       " <defs>\n",
+       "  <clipPath id=\"p2391ac10b9\">\n",
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+       "</svg>\n"
+      ],
+      "text/plain": [
+       "<schemdraw.backends.mpl.Figure object at 0x124454390>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with schemdraw.Drawing() as sd:\n",
+    "    flow.Start(w=2, h=1).label('START')\n",
+    "    flow.Arrow().down(sd.unit/4)\n",
+    "    b = flow.Box(w=2, h=1).label('x = 10')\n",
+    "    flow.Arrow().down(sd.unit/4)\n",
+    "    d = flow.Decision(w=3, h=1.3, S='True', E='False').label('x = 10 ?').drop('S')\n",
+    "    flow.Arrow().down(sd.unit/3)\n",
+    "    b = flow.Box(w=3.7, h=1.3).label('「条件はTrueです。」\\nの表示')\n",
+    "    flow.Arrow().down(sd.unit/4)\n",
+    "    flow.Start(w=2, h=1).label('END')\n",
+    "    \n",
+    "    flow.Arrow().right().at(d.E).length(2)\n",
+    "    b = flow.Box(w=3.7, h=1.3).label('「条件はFalseです。」\\nの表示').drop('S')\n",
+    "    flow.Arrow().down(sd.unit/4)\n",
+    "    flow.Start(w=2, h=1).label('END')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "＜`if`文の説明＞\n",
-    "1. `x`が`10`と等しいかを評価する。\n",
-    "1. `x==10`が`True`の場合に，`条件はTrueです。`が表示される。\n",
-    "1. `x==10`が`False`のケースがはじまる。\n",
-    "1. `x==10`が満たされない場合は，`条件はFalseです。`が表示される。\n",
-    "\n",
-    "このコードセルの最初で`10`を`x`に割り当てる。従って，`x==10`は`True`を返し，`条件はTrueです。`が表示されることになる。\n",
+    "菱形枠中の`？`は「判断」を意味するが，上のコードの`#2`に対応している。`x=10`は`True`なので，菱形枠から下に移動して`条件はTrueです。`が表示されることになる。\n",
     "\n",
     "次の例は上の例と似ているが少しだけ異なる。"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "hidden": true
-   },
+   "execution_count": 81,
+   "metadata": {},
    "outputs": [],
    "source": [
-    "x = 20\n",
+    "x = 20                        #1\n",
     "\n",
-    "if x == 10:                   # 1\n",
-    "    print('条件はTrueです。')    # 2\n",
+    "if x == 10:                   #2\n",
+    "    print('条件はTrueです。')    #3\n",
     "\n",
-    "else:                         # 3\n",
-    "    pass                      # 4"
+    "else:                         #4\n",
+    "    pass                      #5"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "hidden": true
-   },
+   "metadata": {},
    "source": [
-    "＜`if`文の説明＞\n",
-    "* 上の`if`文と異なるのは`#4`だけである。`pass`は「何もしない」という意味\n",
+    "＜コードの文の説明＞\n",
+    "* 上の`if`文と異なるのは`#5`だけである。`pass`は「何もしない」という意味。\n",
     "\n",
-    "`20`が`x`に割り当てられているので，`x==10`は`False`を返す。従って，`#2`は飛ばして`else`のブロックに移ることになる。その場合の実行コードは`pass`なので何も表示されないことになる。\n",
+    "`20`が`x`に割り当てられているので，`x==10`は`False`を返す。従って，`#3`は飛ばして`else`のブロックに移ることになる。その場合の実行コードは`pass`なので何も表示されないことになる。\n",
     "\n",
-    "このコードで`else`以下を省略してもエラーにはならない（結果も変わらない）。即ち，`else`以下がない場合は，`#3`と`#4`が省略されていると考えることができる。"
+    "このコードで`else`以下を省略してもエラーにはならない（結果も変わらない）。即ち，`else`以下がない場合は，`#3`と`#4`が省略されていると考えることができる。\n",
+    "\n",
+    "フローチャートで表すと次のようになる。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "metadata": {
+    "tags": [
+     "hide-input"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+       "      <path id=\"IPAexGothic-300d\" d=\"M 1819 4209 \n",
+       "L 2266 4209 \n",
+       "L 2266 -434 \n",
+       "L 525 -434 \n",
+       "L 525 13 \n",
+       "L 1819 13 \n",
+       "L 1819 4209 \n",
+       "z\n",
+       "\" transform=\"scale(0.015625)\"/>\n",
+       "     </defs>\n",
+       "     <use xlink:href=\"#IPAexGothic-300c\"/>\n",
+       "     <use xlink:href=\"#IPAexGothic-6761\" x=\"100\"/>\n",
+       "     <use xlink:href=\"#IPAexGothic-4ef6\" x=\"200\"/>\n",
+       "     <use xlink:href=\"#IPAexGothic-306f\" x=\"300\"/>\n",
+       "     <use xlink:href=\"#IPAexGothic-54\" x=\"400\"/>\n",
+       "     <use xlink:href=\"#IPAexGothic-72\" x=\"459.912109\"/>\n",
+       "     <use xlink:href=\"#IPAexGothic-75\" x=\"496.923828\"/>\n",
+       "     <use xlink:href=\"#IPAexGothic-65\" x=\"557.324219\"/>\n",
+       "     <use xlink:href=\"#IPAexGothic-3067\" x=\"614.208984\"/>\n",
+       "     <use xlink:href=\"#IPAexGothic-3059\" x=\"714.208984\"/>\n",
+       "     <use xlink:href=\"#IPAexGothic-3002\" x=\"814.208984\"/>\n",
+       "     <use xlink:href=\"#IPAexGothic-300d\" x=\"914.208984\"/>\n",
+       "    </g>\n",
+       "    <!-- の表示 -->\n",
+       "    <g transform=\"translate(64.68 262.029609) scale(0.125 -0.125)\">\n",
+       "     <defs>\n",
+       "      <path id=\"IPAexGothic-306e\" d=\"M 3119 469 \n",
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+       "\" transform=\"scale(0.015625)\"/>\n",
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+       "z\n",
+       "\" transform=\"scale(0.015625)\"/>\n",
+       "      <path id=\"IPAexGothic-793a\" d=\"M 3488 2822 \n",
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+       "z\n",
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+       "L 403 616 \n",
+       "z\n",
+       "\" transform=\"scale(0.015625)\"/>\n",
+       "     </defs>\n",
+       "     <use xlink:href=\"#IPAexGothic-306e\"/>\n",
+       "     <use xlink:href=\"#IPAexGothic-8868\" x=\"100\"/>\n",
+       "     <use xlink:href=\"#IPAexGothic-793a\" x=\"200\"/>\n",
+       "    </g>\n",
+       "   </g>\n",
+       "   <g id=\"text_7\">\n",
+       "    <!-- END -->\n",
+       "    <g transform=\"translate(70.230781 323.624141) scale(0.125 -0.125)\">\n",
+       "     <defs>\n",
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+       "z\n",
+       "\" transform=\"scale(0.015625)\"/>\n",
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+       "L 4244 63 \n",
+       "z\n",
+       "\" transform=\"scale(0.015625)\"/>\n",
+       "      <path id=\"IPAexGothic-44\" d=\"M 609 4634 \n",
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+       "L 1172 556 \n",
+       "z\n",
+       "\" transform=\"scale(0.015625)\"/>\n",
+       "     </defs>\n",
+       "     <use xlink:href=\"#IPAexGothic-45\"/>\n",
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+       "     <use xlink:href=\"#IPAexGothic-44\" x=\"135.498047\"/>\n",
+       "    </g>\n",
+       "   </g>\n",
+       "   <g id=\"text_8\">\n",
+       "    <!-- END -->\n",
+       "    <g transform=\"translate(232.230781 172.424141) scale(0.125 -0.125)\">\n",
+       "     <use xlink:href=\"#IPAexGothic-45\"/>\n",
+       "     <use xlink:href=\"#IPAexGothic-4e\" x=\"59.521484\"/>\n",
+       "     <use xlink:href=\"#IPAexGothic-44\" x=\"135.498047\"/>\n",
+       "    </g>\n",
+       "   </g>\n",
+       "  </g>\n",
+       " </g>\n",
+       " <defs>\n",
+       "  <clipPath id=\"p8cd2627a87\">\n",
+       "   <rect x=\"3.6\" y=\"3.6\" width=\"291.06\" height=\"350.46\"/>\n",
+       "  </clipPath>\n",
+       " </defs>\n",
+       "</svg>\n"
+      ],
+      "text/plain": [
+       "<schemdraw.backends.mpl.Figure object at 0x124e09590>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with schemdraw.Drawing() as sd:\n",
+    "    flow.Start(w=2, h=1).label('START')\n",
+    "    flow.Arrow().down(sd.unit/4)\n",
+    "    b = flow.Box(w=2, h=1).label('x = 10')\n",
+    "    flow.Arrow().down(sd.unit/4)\n",
+    "    d = flow.Decision(w=3, h=1.3, S='True', E='False').label('x = 10 ?').drop('S')\n",
+    "    flow.Arrow().down(sd.unit/3)\n",
+    "    flow.Box(w=3.7, h=1.3).label('「条件はTrueです。」\\nの表示')\n",
+    "    flow.Arrow().down(sd.unit/4)\n",
+    "    flow.Start(w=2, h=1).label('END')\n",
+    "    \n",
+    "    flow.Arrow().right().at(d.E).length(2)\n",
+    "    flow.Start(w=2, h=1).anchor('W').label('END')"
    ]
   },
   {
@@ -245,11 +6284,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "GDPは増加しています。\n"
+     ]
+    }
+   ],
    "source": [
     "change_in_gdp = 200  #1\n",
     "\n",
@@ -291,11 +6338,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "GDPは増加しています。\n"
+     ]
+    }
+   ],
    "source": [
     "change_in_gdp = 200\n",
     "\n",
@@ -347,7 +6402,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {
     "hidden": true
    },
@@ -380,33 +6435,57 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "GDPは増加しています。\n"
+     ]
+    }
+   ],
    "source": [
     "gdp_change(200)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "GDPは減少しています。\n"
+     ]
+    }
+   ],
    "source": [
     "gdp_change(-200)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "GDPは変化していません。\n"
+     ]
+    }
+   ],
    "source": [
     "gdp_change(0)"
    ]
@@ -431,7 +6510,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {
     "hidden": true
    },
@@ -461,33 +6540,57 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "真偽値はTrueです。\n"
+     ]
+    }
+   ],
    "source": [
     "truth_value('経済学')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "真偽値はTrueです。\n"
+     ]
+    }
+   ],
    "source": [
     "truth_value('0')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "真偽値はFalseです。\n"
+     ]
+    }
+   ],
    "source": [
     "truth_value(0)"
    ]
@@ -503,7 +6606,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {
     "hidden": true
    },
@@ -529,11 +6632,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "一文なしだよ😅\n"
+     ]
+    }
+   ],
    "source": [
     "my_wallet(0)"
    ]
@@ -573,11 +6684,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "10"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "x = -10       # 0\n",
     "\n",
@@ -605,7 +6727,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {
     "hidden": true
    },
@@ -637,7 +6759,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "metadata": {
     "hidden": true
    },
@@ -663,11 +6785,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(10, 10, 0)"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "f(10), f(-10), f(0)"
    ]
@@ -721,7 +6854,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "metadata": {
     "hidden": true
    },
@@ -744,11 +6877,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 20,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "3.79746835443038"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "ces_production(10, 3, rho=-1)"
    ]
@@ -820,7 +6964,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "metadata": {
     "hidden": true
    },
@@ -840,11 +6984,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "消費\n",
+      "投資\n",
+      "政府支出\n",
+      "純輸出\n"
+     ]
+    }
+   ],
    "source": [
     "for i in gdp_components:\n",
     "    print(i)"
@@ -893,7 +7048,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 23,
    "metadata": {
     "hidden": true
    },
@@ -913,11 +7068,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 24,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[10, 20, 30, 40, 50]"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "my_lst = []              # 1\n",
     "\n",
@@ -992,7 +7158,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 25,
    "metadata": {
     "hidden": true
    },
@@ -1003,11 +7169,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 26,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[800.0, 870.0, 1150.0, 1500.0, 1710.0, 2200.0]"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "c_lst = []               # 1\n",
     "\n",
@@ -1076,14 +7253,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 27,
    "metadata": {
     "hidden": true,
     "tags": [
      "hide-input"
     ]
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[0, 10, 20, 30, 40, 50]"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "[10*i for i in range(5+1)]"
    ]
@@ -1099,11 +7287,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 28,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[0, 10, 20, 30, 40, 50]"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "k_lst = [0]               #1\n",
     "\n",
@@ -1152,11 +7351,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 29,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[0, 10, 20, 30, 40, 50]"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "k = 0                   #1\n",
     "\n",
@@ -1207,11 +7417,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 30,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "50"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "k"
    ]
@@ -1246,11 +7467,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 31,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[0, 10, 20, 30, 40, 50]"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "def capital_accumulation(k0, period):\n",
     "\n",
@@ -1278,11 +7510,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 32,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[0, 10, 20, 30, 40, 50]"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "def capital_accumulation_shorter(k, period):\n",
     "\n",
@@ -1344,7 +7587,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 33,
    "metadata": {
     "hidden": true
    },
@@ -1394,11 +7637,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 34,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[100, 102.0, 104.04, 106.1208, 108.243216, 110.40808032000001]"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "values = calculate_futre_value(100, 0.02, 5)\n",
     "values"
@@ -1451,11 +7705,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 35,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0, 'A'), (1, 'B')]"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "z = list( enumerate(['A','B']) )\n",
     "z"
@@ -1472,11 +7737,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 36,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(0, 'A')"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "z[0]"
    ]
@@ -1492,11 +7768,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 37,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0\n",
+      "A\n"
+     ]
+    }
+   ],
    "source": [
     "i, v = z[0]\n",
     "\n",
@@ -1515,11 +7800,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 38,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0期：100.0万円\n",
+      "1期：102.0万円\n",
+      "2期：104.0万円\n",
+      "3期：106.1万円\n",
+      "4期：108.2万円\n",
+      "5期：110.4万円\n"
+     ]
+    }
+   ],
    "source": [
     "for i, v in enumerate(values):   #1\n",
     "    print(f'{i}期：{v:.1f}万円')   #2"
@@ -1566,7 +7864,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 39,
    "metadata": {
     "hidden": true
    },
@@ -1588,11 +7886,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "hidden": true
-   },
-   "outputs": [],
+   "execution_count": 40,
+   "metadata": {
+    "hidden": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(1000, 0.7),\n",
+       " (1100, 0.71),\n",
+       " (1500, 0.72),\n",
+       " (2000, 0.73),\n",
+       " (2300, 0.74),\n",
+       " (3000, 0.75)]"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "z = list( zip(income_lst, mpc_lst) )\n",
     "z"
@@ -1619,7 +7933,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 41,
    "metadata": {
     "hidden": true
    },
@@ -1639,11 +7953,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 42,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1000\n",
+      "0.7\n"
+     ]
+    }
+   ],
    "source": [
     "y, mpc = z[0]\n",
     "\n",
@@ -1662,11 +7985,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 43,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[800.0, 881.0, 1180.0, 1560.0, 1802.0, 2350.0]"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "c_lst = []                                # 1\n",
     "\n",
@@ -1711,7 +8045,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 44,
    "metadata": {
     "hidden": true
    },
@@ -1759,11 +8093,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 45,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[0, 1, 4, 9, 16]"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "lst = [i**2 for i in range(5)]\n",
     "lst"
@@ -1797,11 +8142,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 46,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['0', '1', '4', '9', '16']"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "[str(i) for i in lst]"
    ]
@@ -1826,11 +8182,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 47,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[1, 4, 9, 16, 25, 0, 0, 0, 0, 0]"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "[x**2 if x<=5 else 0 for x in range(1,10+1)]"
    ]
@@ -1922,11 +8289,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 48,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0\n",
+      "1\n",
+      "2\n"
+     ]
+    }
+   ],
    "source": [
     "count = 0            #1\n",
     "\n",
@@ -1976,11 +8353,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 49,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0\n",
+      "1\n",
+      "2\n",
+      "ループは無事終わったよ🥳\n"
+     ]
+    }
+   ],
    "source": [
     "count = 0\n",
     "\n",
@@ -2042,11 +8430,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "hidden": true
-   },
-   "outputs": [],
+   "execution_count": 50,
+   "metadata": {
+    "hidden": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1\n",
+      "0.5\n",
+      "0.25\n",
+      "0.125\n",
+      "0.0625\n",
+      "0.03125\n",
+      "0.015625\n",
+      "0.0078125\n",
+      "0.00390625\n",
+      "0.001953125\n",
+      "残りの距離は0.9765625mmです。\n"
+     ]
+    }
+   ],
    "source": [
     "distance = 1                   #1\n",
     "\n",
@@ -2102,11 +8508,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 51,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "残りの距離は5.714936956411375e-101です。\n",
+      "333回ループ計算しました🚀\n"
+     ]
+    }
+   ],
    "source": [
     "distance = 1\n",
     "counter = 0\n",
@@ -2167,7 +8582,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 52,
    "metadata": {
     "hidden": true
    },
@@ -2205,11 +8620,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "hidden": true
-   },
-   "outputs": [],
+   "execution_count": 53,
+   "metadata": {
+    "hidden": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "50.02\n",
+      "25.04998400639744\n",
+      "12.604832373535453\n",
+      "6.4610854923746075\n",
+      "3.5400882555851294\n",
+      "2.335001794270127\n",
+      "2.0240312882070577\n",
+      "2.0001426615330145\n",
+      "2.000000005087715\n"
+     ]
+    }
+   ],
    "source": [
     "sqrt_approx(4,100)"
    ]
@@ -2247,11 +8678,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 54,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1\n",
+      "2\n",
+      "3\n",
+      "4\n",
+      "5\n"
+     ]
+    }
+   ],
    "source": [
     "count = 0\n",
     "\n",
@@ -2278,11 +8721,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 55,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1\n",
+      "2\n",
+      "4\n",
+      "5\n"
+     ]
+    }
+   ],
    "source": [
     "count = 0\n",
     "\n",
@@ -2345,11 +8799,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 56,
    "metadata": {
     "hidden": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0\n",
+      "1\n",
+      "2\n"
+     ]
+    }
+   ],
    "source": [
     "count = 0          #1\n",
     "\n",
@@ -2400,11 +8864,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "hidden": true
-   },
-   "outputs": [],
+   "execution_count": 57,
+   "metadata": {
+    "hidden": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1\n",
+      "2\n",
+      "4\n",
+      "5\n"
+     ]
+    }
+   ],
    "source": [
     "count = 0\n",
     "\n",