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wesinator/ip_test.ipynb

Last active June 1, 2021 18:47
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ip_test.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import time\n",
"\n",
"# https://stackoverflow.com/questions/1557571/how-do-i-get-time-of-a-python-programs-execution\n",
"def timeit(method):\n",
" def timed(*args, **kw):\n",
" ts = time.time()\n",
" result = method(*args, **kw)\n",
" te = time.time()\n",
" if 'log_time' in kw:\n",
" name = kw.get('log_name', method.__name__.upper())\n",
" kw['log_time'][name] = int((te - ts) * 1000)\n",
" else:\n",
" print('%r %2.22f ms' % (method.__name__, (te - ts) * 1000))\n",
" return result\n",
" return timed\n"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"'test_ipy' 12.1805667877197265625000 ms\n",
"'test_ipy' 12.0871067047119140625000 ms\n",
"'test_ipy' 13.1344795227050781250000 ms\n",
"'test_ipy' 13.1304264068603515625000 ms\n",
"'test_ipy' 17.9247856140136718750000 ms\n",
"'test_ipy' 15.7623291015625000000000 ms\n",
"'test_ipy' 13.6168003082275390625000 ms\n",
"'test_ipy' 14.3928527832031250000000 ms\n",
"'test_ipy' 12.9981040954589843750000 ms\n",
"'test_ipy' 9.5784664154052734375000 ms\n",
"'test_ipy' 6.8905353546142578125000 ms\n",
"'test_ipy' 5.7108402252197265625000 ms\n",
"'test_ipy' 5.9533119201660156250000 ms\n",
"'test_ipy' 4.7328472137451171875000 ms\n",
"'test_ipy' 4.6195983886718750000000 ms\n",
"'test_ipy' 4.6648979187011718750000 ms\n",
"'test_ipy' 4.6958923339843750000000 ms\n",
"'test_ipy' 4.7779083251953125000000 ms\n",
"'test_ipy' 4.6169757843017578125000 ms\n",
"'test_ipy' 4.6083927154541015625000 ms\n",
"'test_ipy' 4.6417713165283203125000 ms\n",
"'test_ipy' 4.5855045318603515625000 ms\n",
"'test_ipy' 4.5812129974365234375000 ms\n",
"'test_ipy' 4.6098232269287109375000 ms\n",
"'test_ipy' 4.7094821929931640625000 ms\n",
"'test_ipy' 4.6010017395019531250000 ms\n",
"'test_ipy' 4.6498775482177734375000 ms\n",
"'test_ipy' 4.8079490661621093750000 ms\n",
"'test_ipy' 4.6503543853759765625000 ms\n",
"'test_ipy' 4.6358108520507812500000 ms\n",
"'test_ipy' 4.4434070587158203125000 ms\n",
"'test_ipy' 3.9348602294921875000000 ms\n",
"'test_ipy' 3.8113594055175781250000 ms\n",
"'test_ipy' 3.4761428833007812500000 ms\n",
"'test_ipy' 3.7164688110351562500000 ms\n",
"'test_ipy' 3.2424926757812500000000 ms\n",
"'test_ipy' 4.3959617614746093750000 ms\n",
"'test_ipy' 3.2651424407958984375000 ms\n",
"'test_ipy' 2.5925636291503906250000 ms\n",
"'test_ipy' 2.8045177459716796875000 ms\n",
"'test_ipy' 3.2315254211425781250000 ms\n",
"'test_ipy' 3.4928321838378906250000 ms\n",
"'test_ipy' 2.4447441101074218750000 ms\n",
"'test_ipy' 2.3074150085449218750000 ms\n",
"'test_ipy' 2.3038387298583984375000 ms\n",
"'test_ipy' 2.3014545440673828125000 ms\n",
"'test_ipy' 2.2945404052734375000000 ms\n",
"'test_ipy' 2.9177665710449218750000 ms\n",
"'test_ipy' 2.3963451385498046875000 ms\n",
"'test_ipy' 2.4187564849853515625000 ms\n",
"'test_ipy' 2.3763179779052734375000 ms\n",
"'test_ipy' 2.3086071014404296875000 ms\n",
"'test_ipy' 2.3095607757568359375000 ms\n",
"'test_ipy' 2.3760795593261718750000 ms\n",
"'test_ipy' 2.5000572204589843750000 ms\n",
"'test_ipy' 2.4411678314208984375000 ms\n",
"'test_ipy' 2.3880004882812500000000 ms\n",
"'test_ipy' 2.3088455200195312500000 ms\n",
"'test_ipy' 2.3002624511718750000000 ms\n",
"'test_ipy' 2.3419857025146484375000 ms\n",
"'test_ipy' 2.3074150085449218750000 ms\n",
"'test_ipy' 2.3736953735351562500000 ms\n",
"'test_ipy' 2.3300647735595703125000 ms\n",
"'test_ipy' 2.3157596588134765625000 ms\n",
"'test_ipy' 2.3248195648193359375000 ms\n",
"'test_ipy' 2.9587745666503906250000 ms\n",
"'test_ipy' 2.9501914978027343750000 ms\n",
"'test_ipy' 6.8175792694091796875000 ms\n",
"'test_ipy' 3.3960342407226562500000 ms\n",
"'test_ipy' 2.3586750030517578125000 ms\n",
"'test_ipy' 2.3300647735595703125000 ms\n",
"'test_ipy' 2.4828910827636718750000 ms\n",
"'test_ipy' 2.6307106018066406250000 ms\n",
"'test_ipy' 3.0343532562255859375000 ms\n",
"'test_ipy' 2.7284622192382812500000 ms\n",
"'test_ipy' 2.3384094238281250000000 ms\n",
"'test_ipy' 2.3317337036132812500000 ms\n",
"'test_ipy' 2.8114318847656250000000 ms\n",
"'test_ipy' 3.0250549316406250000000 ms\n",
"'test_ipy' 2.4540424346923828125000 ms\n",
"'test_ipy' 2.3150444030761718750000 ms\n",
"'test_ipy' 2.2959709167480468750000 ms\n",
"'test_ipy' 2.3074150085449218750000 ms\n",
"'test_ipy' 2.3949146270751953125000 ms\n",
"'test_ipy' 2.5267601013183593750000 ms\n",
"'test_ipy' 3.0457973480224609375000 ms\n",
"'test_ipy' 2.4044513702392578125000 ms\n",
"'test_ipy' 2.3250579833984375000000 ms\n",
"'test_ipy' 2.3233890533447265625000 ms\n",
"'test_ipy' 2.3317337036132812500000 ms\n",
"'test_ipy' 2.3105144500732421875000 ms\n",
"'test_ipy' 2.2752285003662109375000 ms\n",
"'test_ipy' 2.2845268249511718750000 ms\n",
"'test_ipy' 2.3047924041748046875000 ms\n",
"'test_ipy' 2.2957324981689453125000 ms\n",
"'test_ipy' 2.2683143615722656250000 ms\n",
"'test_ipy' 2.3155212402343750000000 ms\n",
"'test_ipy' 2.3326873779296875000000 ms\n",
"'test_ipy' 2.2902488708496093750000 ms\n",
"'test_ipy' 2.2990703582763671875000 ms\n",
"'test_ipy' 2.2904872894287109375000 ms\n",
"'test_ipy' 2.3069381713867187500000 ms\n",
"'test_ipy' 2.3257732391357421875000 ms\n",
"'test_ipy' 2.3760795593261718750000 ms\n",
"'test_ipy' 2.3064613342285156250000 ms\n",
"'test_ipy' 2.3076534271240234375000 ms\n",
"'test_ipy' 2.2954940795898437500000 ms\n",
"'test_ipy' 2.3009777069091796875000 ms\n",
"'test_ipy' 2.2940635681152343750000 ms\n",
"'test_ipy' 2.3105144500732421875000 ms\n",
"'test_ipy' 2.3093223571777343750000 ms\n",
"'test_ipy' 2.3527145385742187500000 ms\n",
"'test_ipy' 2.3238658905029296875000 ms\n",
"'test_ipy' 2.3169517517089843750000 ms\n",
"'test_ipy' 2.3124217987060546875000 ms\n",
"'test_ipy' 2.3174285888671875000000 ms\n",
"'test_ipy' 2.3219585418701171875000 ms\n",
"'test_ipy' 2.3045539855957031250000 ms\n",
"'test_ipy' 2.2993087768554687500000 ms\n",
"'test_ipy' 2.3162364959716796875000 ms\n",
"'test_ipy' 2.2966861724853515625000 ms\n",
"'test_ipy' 2.3176670074462890625000 ms\n",
"'test_ipy' 2.3300647735595703125000 ms\n",
"'test_ipy' 2.3033618927001953125000 ms\n"
]
},
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from IPy import IP\n",
"\n",
"ips = ['198.5.0.' + str(i) for i in range(0, 256)]\n",
"\n",
"@timeit\n",
"def test_ipy(ips):\n",
" for ip in ips:\n",
" iptype = IP(ip).iptype()\n",
" if iptype == \"PRIVATE\":\n",
" break\n",
"\n",
"times = []\n",
"for i in range(0, 124):\n",
" test_ipy(ips)\n",
"times\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"'test_netaddr' 6.6406726837158203125000 ms\n",
"'test_netaddr' 9.8690986633300781250000 ms\n",
"'test_netaddr' 5.9850215911865234375000 ms\n",
"'test_netaddr' 5.8040618896484375000000 ms\n",
"'test_netaddr' 8.1243515014648437500000 ms\n",
"'test_netaddr' 8.8083744049072265625000 ms\n",
"'test_netaddr' 6.0613155364990234375000 ms\n",
"'test_netaddr' 10.2503299713134765625000 ms\n",
"'test_netaddr' 9.3774795532226562500000 ms\n",
"'test_netaddr' 7.2643756866455078125000 ms\n",
"'test_netaddr' 7.1945190429687500000000 ms\n",
"'test_netaddr' 6.8998336791992187500000 ms\n",
"'test_netaddr' 10.6165409088134765625000 ms\n",
"'test_netaddr' 6.3240528106689453125000 ms\n",
"'test_netaddr' 4.5952796936035156250000 ms\n",
"'test_netaddr' 3.7322044372558593750000 ms\n",
"'test_netaddr' 3.9341449737548828125000 ms\n",
"'test_netaddr' 3.3335685729980468750000 ms\n",
"'test_netaddr' 2.8069019317626953125000 ms\n",
"'test_netaddr' 2.6123523712158203125000 ms\n",
"'test_netaddr' 2.9520988464355468750000 ms\n",
"'test_netaddr' 2.4108886718750000000000 ms\n",
"'test_netaddr' 2.4070739746093750000000 ms\n",
"'test_netaddr' 1.8925666809082031250000 ms\n",
"'test_netaddr' 1.8823146820068359375000 ms\n",
"'test_netaddr' 1.8742084503173828125000 ms\n",
"'test_netaddr' 1.8777847290039062500000 ms\n",
"'test_netaddr' 1.7812252044677734375000 ms\n",
"'test_netaddr' 1.7673969268798828125000 ms\n",
"'test_netaddr' 1.7356872558593750000000 ms\n",
"'test_netaddr' 1.6300678253173828125000 ms\n",
"'test_netaddr' 1.6329288482666015625000 ms\n",
"'test_netaddr' 1.5542507171630859375000 ms\n",
"'test_netaddr' 1.4386177062988281250000 ms\n",
"'test_netaddr' 1.4085769653320312500000 ms\n",
"'test_netaddr' 1.4107227325439453125000 ms\n",
"'test_netaddr' 2.1014213562011718750000 ms\n",
"'test_netaddr' 1.4441013336181640625000 ms\n",
"'test_netaddr' 1.2874603271484375000000 ms\n",
"'test_netaddr' 1.2626647949218750000000 ms\n",
"'test_netaddr' 1.2459754943847656250000 ms\n",
"'test_netaddr' 1.2447834014892578125000 ms\n",
"'test_netaddr' 1.2567043304443359375000 ms\n",
"'test_netaddr' 1.2454986572265625000000 ms\n",
"'test_netaddr' 1.2965202331542968750000 ms\n",
"'test_netaddr' 1.1761188507080078125000 ms\n",
"'test_netaddr' 1.1553764343261718750000 ms\n",
"'test_netaddr' 1.1286735534667968750000 ms\n",
"'test_netaddr' 1.3570785522460937500000 ms\n",
"'test_netaddr' 1.1317729949951171875000 ms\n",
"'test_netaddr' 1.1246204376220703125000 ms\n",
"'test_netaddr' 1.1591911315917968750000 ms\n",
"'test_netaddr' 1.1329650878906250000000 ms\n",
"'test_netaddr' 1.1296272277832031250000 ms\n",
"'test_netaddr' 1.1706352233886718750000 ms\n",
"'test_netaddr' 1.1296272277832031250000 ms\n",
"'test_netaddr' 1.1222362518310546875000 ms\n",
"'test_netaddr' 1.1222362518310546875000 ms\n",
"'test_netaddr' 1.1420249938964843750000 ms\n",
"'test_netaddr' 1.1246204376220703125000 ms\n",
"'test_netaddr' 1.1274814605712890625000 ms\n",
"'test_netaddr' 1.1258125305175781250000 ms\n",
"'test_netaddr' 1.1274814605712890625000 ms\n",
"'test_netaddr' 1.1246204376220703125000 ms\n",
"'test_netaddr' 1.1212825775146484375000 ms\n",
"'test_netaddr' 1.1591911315917968750000 ms\n",
"'test_netaddr' 1.1246204376220703125000 ms\n",
"'test_netaddr' 1.7714500427246093750000 ms\n",
"'test_netaddr' 1.1348724365234375000000 ms\n",
"'test_netaddr' 1.1222362518310546875000 ms\n",
"'test_netaddr' 1.1353492736816406250000 ms\n",
"'test_netaddr' 1.1274814605712890625000 ms\n",
"'test_netaddr' 1.1284351348876953125000 ms\n",
"'test_netaddr' 1.1265277862548828125000 ms\n",
"'test_netaddr' 1.1236667633056640625000 ms\n",
"'test_netaddr' 1.1324882507324218750000 ms\n",
"'test_netaddr' 1.1253356933593750000000 ms\n",
"'test_netaddr' 1.1329650878906250000000 ms\n",
"'test_netaddr' 1.2004375457763671875000 ms\n",
"'test_netaddr' 2.0234584808349609375000 ms\n",
"'test_netaddr' 1.2001991271972656250000 ms\n",
"'test_netaddr' 1.5428066253662109375000 ms\n",
"'test_netaddr' 1.1448860168457031250000 ms\n",
"'test_netaddr' 1.1694431304931640625000 ms\n",
"'test_netaddr' 1.1479854583740234375000 ms\n",
"'test_netaddr' 1.1401176452636718750000 ms\n",
"'test_netaddr' 1.1250972747802734375000 ms\n",
"'test_netaddr' 1.1637210845947265625000 ms\n",
"'test_netaddr' 1.1534690856933593750000 ms\n",
"'test_netaddr' 1.1925697326660156250000 ms\n",
"'test_netaddr' 1.9116401672363281250000 ms\n",
"'test_netaddr' 1.2140274047851562500000 ms\n",
"'test_netaddr' 1.1975765228271484375000 ms\n",
"'test_netaddr' 1.4467239379882812500000 ms\n",
"'test_netaddr' 1.1522769927978515625000 ms\n",
"'test_netaddr' 1.1253356933593750000000 ms\n",
"'test_netaddr' 1.1272430419921875000000 ms\n",
"'test_netaddr' 1.1305809020996093750000 ms\n",
"'test_netaddr' 1.1265277862548828125000 ms\n",
"'test_netaddr' 1.1253356933593750000000 ms\n",
"'test_netaddr' 1.1258125305175781250000 ms\n",
"'test_netaddr' 1.1293888092041015625000 ms\n",
"'test_netaddr' 1.1672973632812500000000 ms\n",
"'test_netaddr' 1.2176036834716796875000 ms\n",
"'test_netaddr' 1.1384487152099609375000 ms\n",
"'test_netaddr' 1.1246204376220703125000 ms\n",
"'test_netaddr' 1.1224746704101562500000 ms\n",
"'test_netaddr' 1.1289119720458984375000 ms\n",
"'test_netaddr' 1.1236667633056640625000 ms\n",
"'test_netaddr' 1.1260509490966796875000 ms\n",
"'test_netaddr' 1.1281967163085937500000 ms\n",
"'test_netaddr' 1.1248588562011718750000 ms\n",
"'test_netaddr' 1.1229515075683593750000 ms\n",
"'test_netaddr' 1.1241436004638671875000 ms\n",
"'test_netaddr' 1.1296272277832031250000 ms\n",
"'test_netaddr' 1.1477470397949218750000 ms\n",
"'test_netaddr' 1.1897087097167968750000 ms\n",
"'test_netaddr' 1.2466907501220703125000 ms\n",
"'test_netaddr' 1.1267662048339843750000 ms\n",
"'test_netaddr' 1.1332035064697265625000 ms\n",
"'test_netaddr' 1.2774467468261718750000 ms\n",
"'test_netaddr' 1.1408329010009765625000 ms\n",
"'test_netaddr' 1.1231899261474609375000 ms\n",
"'test_netaddr' 1.1191368103027343750000 ms\n",
"'test_netaddr' 1.1234283447265625000000 ms\n"
]
},
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from netaddr import IPAddress\n",
"\n",
"ips = ['198.5.0.' + str(i) for i in range(0, 256)]\n",
"\n",
"@timeit\n",
"def test_netaddr(ips):\n",
" for ip in ips:\n",
" if IPAddress(ip).is_private():\n",
" break\n",
"test_netaddr(ips)\n",
"\n",
"\n",
"times = []\n",
"for i in range(0, 124):\n",
" test_netaddr(ips)\n",
"times\n"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"'test_ipaddress' 9.4726085662841796875000 ms\n",
"'test_ipaddress' 9.0229511260986328125000 ms\n",
"'test_ipaddress' 8.9526176452636718750000 ms\n",
"'test_ipaddress' 9.2470645904541015625000 ms\n",
"'test_ipaddress' 11.7692947387695312500000 ms\n",
"'test_ipaddress' 10.5938911437988281250000 ms\n",
"'test_ipaddress' 10.1397037506103515625000 ms\n",
"'test_ipaddress' 9.6602439880371093750000 ms\n",
"'test_ipaddress' 13.7271881103515625000000 ms\n",
"'test_ipaddress' 11.7366313934326171875000 ms\n",
"'test_ipaddress' 11.4772319793701171875000 ms\n",
"'test_ipaddress' 9.6282958984375000000000 ms\n",
"'test_ipaddress' 9.4361305236816406250000 ms\n",
"'test_ipaddress' 9.1664791107177734375000 ms\n",
"'test_ipaddress' 7.3516368865966796875000 ms\n",
"'test_ipaddress' 7.0385932922363281250000 ms\n",
"'test_ipaddress' 4.3289661407470703125000 ms\n",
"'test_ipaddress' 4.0063858032226562500000 ms\n",
"'test_ipaddress' 3.3752918243408203125000 ms\n",
"'test_ipaddress' 3.3755302429199218750000 ms\n",
"'test_ipaddress' 3.0658245086669921875000 ms\n",
"'test_ipaddress' 2.8321743011474609375000 ms\n",
"'test_ipaddress' 2.8631687164306640625000 ms\n",
"'test_ipaddress' 2.7740001678466796875000 ms\n",
"'test_ipaddress' 2.4085044860839843750000 ms\n",
"'test_ipaddress' 2.4001598358154296875000 ms\n",
"'test_ipaddress' 2.4402141571044921875000 ms\n",
"'test_ipaddress' 2.1467208862304687500000 ms\n",
"'test_ipaddress' 2.0775794982910156250000 ms\n",
"'test_ipaddress' 2.0821094512939453125000 ms\n",
"'test_ipaddress' 2.0809173583984375000000 ms\n",
"'test_ipaddress' 1.9457340240478515625000 ms\n",
"'test_ipaddress' 1.8570423126220703125000 ms\n",
"'test_ipaddress' 1.8489360809326171875000 ms\n",
"'test_ipaddress' 1.8432140350341796875000 ms\n",
"'test_ipaddress' 1.8784999847412109375000 ms\n",
"'test_ipaddress' 1.7156600952148437500000 ms\n",
"'test_ipaddress' 1.6717910766601562500000 ms\n",
"'test_ipaddress' 1.6763210296630859375000 ms\n",
"'test_ipaddress' 1.6624927520751953125000 ms\n",
"'test_ipaddress' 1.6803741455078125000000 ms\n",
"'test_ipaddress' 1.6722679138183593750000 ms\n",
"'test_ipaddress' 1.8308162689208984375000 ms\n",
"'test_ipaddress' 1.6975402832031250000000 ms\n",
"'test_ipaddress' 1.7013549804687500000000 ms\n",
"'test_ipaddress' 1.9001960754394531250000 ms\n",
"'test_ipaddress' 2.6547908782958984375000 ms\n",
"'test_ipaddress' 2.7379989624023437500000 ms\n",
"'test_ipaddress' 3.7984848022460937500000 ms\n",
"'test_ipaddress' 3.5109519958496093750000 ms\n",
"'test_ipaddress' 2.9830932617187500000000 ms\n",
"'test_ipaddress' 2.7508735656738281250000 ms\n",
"'test_ipaddress' 1.7759799957275390625000 ms\n",
"'test_ipaddress' 1.6753673553466796875000 ms\n",
"'test_ipaddress' 1.6720294952392578125000 ms\n",
"'test_ipaddress' 1.6837120056152343750000 ms\n",
"'test_ipaddress' 1.6763210296630859375000 ms\n",
"'test_ipaddress' 1.6899108886718750000000 ms\n",
"'test_ipaddress' 1.8091201782226562500000 ms\n",
"'test_ipaddress' 1.7762184143066406250000 ms\n",
"'test_ipaddress' 1.7104148864746093750000 ms\n",
"'test_ipaddress' 1.8882751464843750000000 ms\n",
"'test_ipaddress' 1.6977787017822265625000 ms\n",
"'test_ipaddress' 1.6736984252929687500000 ms\n",
"'test_ipaddress' 1.6701221466064453125000 ms\n",
"'test_ipaddress' 1.6670227050781250000000 ms\n",
"'test_ipaddress' 1.6620159149169921875000 ms\n",
"'test_ipaddress' 2.1905899047851562500000 ms\n",
"'test_ipaddress' 1.8334388732910156250000 ms\n",
"'test_ipaddress' 1.8839836120605468750000 ms\n",
"'test_ipaddress' 1.8656253814697265625000 ms\n",
"'test_ipaddress' 1.9681453704833984375000 ms\n",
"'test_ipaddress' 1.7609596252441406250000 ms\n",
"'test_ipaddress' 1.6894340515136718750000 ms\n",
"'test_ipaddress' 1.6784667968750000000000 ms\n",
"'test_ipaddress' 1.6710758209228515625000 ms\n",
"'test_ipaddress' 2.0129680633544921875000 ms\n",
"'test_ipaddress' 1.8250942230224609375000 ms\n",
"'test_ipaddress' 1.8253326416015625000000 ms\n",
"'test_ipaddress' 1.6961097717285156250000 ms\n",
"'test_ipaddress' 1.6601085662841796875000 ms\n",
"'test_ipaddress' 1.6689300537109375000000 ms\n",
"'test_ipaddress' 1.6574859619140625000000 ms\n",
"'test_ipaddress' 1.6679763793945312500000 ms\n",
"'test_ipaddress' 1.6601085662841796875000 ms\n",
"'test_ipaddress' 1.6961097717285156250000 ms\n",
"'test_ipaddress' 1.7721652984619140625000 ms\n",
"'test_ipaddress' 1.6622543334960937500000 ms\n",
"'test_ipaddress' 1.6727447509765625000000 ms\n",
"'test_ipaddress' 1.6634464263916015625000 ms\n",
"'test_ipaddress' 1.6660690307617187500000 ms\n",
"'test_ipaddress' 1.7731189727783203125000 ms\n",
"'test_ipaddress' 1.6694068908691406250000 ms\n",
"'test_ipaddress' 1.6720294952392578125000 ms\n",
"'test_ipaddress' 1.6610622406005859375000 ms\n",
"'test_ipaddress' 1.7256736755371093750000 ms\n",
"'test_ipaddress' 1.7161369323730468750000 ms\n",
"'test_ipaddress' 1.6703605651855468750000 ms\n",
"'test_ipaddress' 1.6725063323974609375000 ms\n",
"'test_ipaddress' 1.6655921936035156250000 ms\n",
"'test_ipaddress' 1.7735958099365234375000 ms\n",
"'test_ipaddress' 1.6672611236572265625000 ms\n",
"'test_ipaddress' 1.6701221466064453125000 ms\n",
"'test_ipaddress' 1.6682147979736328125000 ms\n",
"'test_ipaddress' 1.6865730285644531250000 ms\n",
"'test_ipaddress' 2.0246505737304687500000 ms\n",
"'test_ipaddress' 1.6798973083496093750000 ms\n",
"'test_ipaddress' 1.6894340515136718750000 ms\n",
"'test_ipaddress' 1.6872882843017578125000 ms\n",
"'test_ipaddress' 1.7938613891601562500000 ms\n",
"'test_ipaddress' 1.6925334930419921875000 ms\n",
"'test_ipaddress' 1.6756057739257812500000 ms\n",
"'test_ipaddress' 1.6677379608154296875000 ms\n",
"'test_ipaddress' 1.6613006591796875000000 ms\n",
"'test_ipaddress' 2.0687580108642578125000 ms\n",
"'test_ipaddress' 1.7609596252441406250000 ms\n",
"'test_ipaddress' 1.6896724700927734375000 ms\n",
"'test_ipaddress' 1.6748905181884765625000 ms\n",
"'test_ipaddress' 1.7735958099365234375000 ms\n",
"'test_ipaddress' 1.7118453979492187500000 ms\n",
"'test_ipaddress' 1.6696453094482421875000 ms\n",
"'test_ipaddress' 1.6789436340332031250000 ms\n",
"'test_ipaddress' 1.6696453094482421875000 ms\n",
"'test_ipaddress' 1.9056797027587890625000 ms\n"
]
},
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import ipaddress\n",
"\n",
"ips = ['198.5.0.' + str(i) for i in range(0, 256)]\n",
"\n",
"@timeit\n",
"def test_ipaddress(ips):\n",
" for ip in ips:\n",
" ip = ipaddress.ip_address(ip)\n",
" if ip.is_multicast or ip.is_private:\n",
" print(ip)\n",
" break\n",
"\n",
"times = []\n",
"for i in range(0, 124):\n",
" test_ipaddress(ips)\n",
"times\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import ipaddress\n",
"\n",
"ip = \"10.5.4.6\"\n",
"ip = ipaddress.ip_address(ip)\n",
"ip.is_private\n"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"True True False\n"
]
}
],
"source": [
"import ipaddress\n",
"\n",
"def checkip(ip):\n",
" ip = ipaddress.ip_address(ip)\n",
" return ip.is_private or ip.is_multicast\n",
"\n",
"print(checkip(\"224.0.0.1\"),\n",
"checkip(\"10.0.2.2\"),\n",
"checkip(\"1.1.1.1\"),\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": null,
"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": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
Raw
iptype.py
#!/usr/bin/env python3
from IPy import IP
def getIPtype(ip):
try:
return IP(ip).iptype()
except ValueError:
return None
def ipPublic(ip):
if getIPtype(ip) == "PUBLIC":
return True
return False
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