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simplify puzzle notebook

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Tiziano Zito 2024-08-20 18:42:14 +02:00
parent 0896683560
commit 3db360b13b
1 changed files with 10 additions and 11 deletions
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21
puzzle.ipynb
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@ -32,10 +32,8 @@
"# create a collection of time series\n",
"# in real life, this data comes from an experiment/simulation\n",
"n_series = 128\n",
"len_one_series = 2**15 # ➔ 2^15 = 32768 items (8 B x 2^15 = 262144 B = 256 K)\n",
"time_series = []\n",
"for idx in range(n_series):\n",
" time_series.append(np.zeros((len_one_series,1), dtype='float64'))"
"len_one_series = 2**20 # ➔ 2^20 = 1,048,576 items (8 B x 2^20 = 8,388,608 B = 8 M)\n",
"time_series = np.zeros((n_series, len_one_series), dtype='float64')"
]
},
{
@ -52,9 +50,10 @@
"outputs": [],
"source": [
"# how much memory does one time series need?\n",
"ts_size = time_series[0].nbytes/2**10 # -> 2^10 is 1 K\n",
"print(f'Size of one time series: {int(ts_size)} K')\n",
"print(f'Size of collection: {int(n_series*ts_size/1024)} M')"
"ts_size = time_series[0].nbytes/2**20 # -> 2^20 is 1 M\n",
"total_size = time_series.nbytes/2**20\n",
"print(f'Size of one time series: {int(ts_size)} M')\n",
"print(f'Size of collection: {int(total_size)} M')"
]
},
{
@ -112,7 +111,7 @@
},
"outputs": [],
"source": [
"x = np.zeros((n_series, len_one_series, 1), dtype='float64')\n",
"x = np.zeros((n_series, len_one_series), dtype='float64')\n",
"%timeit load_data_row(x, time_series)"
]
},
@ -129,7 +128,7 @@
},
"outputs": [],
"source": [
"x = np.zeros((len_one_series, n_series, 1), dtype='float64')\n",
"x = np.zeros((len_one_series, n_series), dtype='float64')\n",
"%timeit load_data_column(x, time_series)"
]
},
@ -139,7 +138,7 @@
"metadata": {},
"outputs": [],
"source": [
"# on my machine: 2.2 ms vs 33.9 ms ≈ 15x slowdown!!!"
"# on my machine: 31 ms vs 1240 ms ≈ 40x slowdown!!!"
]
}
],
@ -159,7 +158,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.4"
"version": "3.12.5"
},
"nteract": {
"version": "0.28.0"