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Orbits/Code/composition_Exploration.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": 28,
"id": "taken-punch",
"metadata": {},
"outputs": [],
"source": [
"import copy\n",
"import itertools"
]
},
{
"cell_type": "markdown",
"id": "driving-booth",
"metadata": {},
"source": [
"testing a recursive function builder"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "permanent-training",
"metadata": {},
"outputs": [],
"source": [
"def compose(f,g):\n",
" return lambda *args, **kwds: f(g(*args,**kwds))"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "editorial-alliance",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['a', 'b'] c\n"
]
}
],
"source": [
"print([\"a\",\"b\"],\"c\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "isolated-headset",
"metadata": {},
"outputs": [],
"source": [
"def appnd(lst,val):\n",
" lst.append(val)\n",
" return lst"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "thirty-latter",
"metadata": {},
"outputs": [],
"source": [
"def traverse_split_right(tuplists):\n",
" lst1,lst2 = tuplists\n",
" lst1.append(lst2.pop(0))\n",
" return (lst1,lst2)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "oriented-context",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(['a', 'b'], ['c'])"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"traverse_split_right(([\"a\"],[\"b\",\"c\"]))"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "unsigned-settlement",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(['a', 'b', 'c'], ['d', 'e', 'f'])\n",
"(['a', 'b', 'c', 'd', 'e'], ['f'])\n"
]
}
],
"source": [
"args = (\n",
" [\"a\",\"b\",\"c\"],\n",
" [\"d\",\"e\",\"f\"]\n",
" )\n",
"print(args)\n",
"\n",
"flist = [traverse_split_right,traverse_split_right,print]\n",
"rflist = list(reversed(flist))\n",
"\n",
"co = compose(rflist[0],compose(rflist[1],rflist[2]))\n",
"\n",
"co(args)"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "satellite-sacrifice",
"metadata": {},
"outputs": [],
"source": [
"flist = [traverse_split_right,traverse_split_right,traverse_split_right]\n",
"\n",
"out_func = None\n",
"out_func_list =[]\n",
"\n",
"for f in itertools.repeat(traverse_split_right,3):\n",
" if out_func == None:\n",
" out_func = f\n",
" else:\n",
" out_func = compose(f,out_func)\n",
" \n",
" out_func_list.append(out_func)"
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "certified-track",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(['a'], ['b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j'])\n",
"(['a', 'b'], ['c', 'd', 'e', 'f', 'g', 'h', 'i', 'j'])\n",
"(['a', 'b', 'c'], ['d', 'e', 'f', 'g', 'h', 'i', 'j'])\n",
"(['a', 'b', 'c', 'd'], ['e', 'f', 'g', 'h', 'i', 'j'])\n"
]
}
],
"source": [
"#test the list\n",
"args = (\n",
" [\"a\"],\n",
" [\"b\",\"c\",\"d\",\"e\",\"f\",\"g\",\"h\",\"i\",\"j\"]\n",
" )\n",
"print(args)\n",
"\n",
"for fn in out_func_list:\n",
" #reset the data each time\n",
" a = copy.deepcopy(args)\n",
" print(fn(a))"
]
},
{
"cell_type": "code",
"execution_count": 38,
"id": "interesting-moral",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(['a'], ['b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j'])\n",
"(['a', 'b'], ['c', 'd', 'e', 'f', 'g', 'h', 'i', 'j'])\n",
"(['a', 'b'], ['c', 'd', 'e', 'f', 'g', 'h', 'i', 'j'])\n",
"(['a', 'b'], ['c', 'd', 'e', 'f', 'g', 'h', 'i', 'j'])\n",
"(['a', 'b'], ['c', 'd', 'e', 'f', 'g', 'h', 'i', 'j'])\n"
]
}
],
"source": [
"#test a non-composed list of functions\n",
"args = (\n",
" [\"a\"],\n",
" [\"b\",\"c\",\"d\",\"e\",\"f\",\"g\",\"h\",\"i\",\"j\"]\n",
" )\n",
"print(args)\n",
"for fn in itertools.repeat(traverse_split_right,4):\n",
" #Reset the data each time\n",
" a = copy.deepcopy(args)\n",
" \n",
" print(fn(a))\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "incorrect-migration",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.8"
}
},
"nbformat": 4,
"nbformat_minor": 5
}