|
26 | 26 | "source": [ |
27 | 27 | "import numpy as np\n", |
28 | 28 | "import numcodecs\n", |
| 29 | + "\n", |
29 | 30 | "numcodecs.__version__" |
30 | 31 | ] |
31 | 32 | }, |
|
54 | 55 | " enc = codec.encode(a)\n", |
55 | 56 | " print('decode')\n", |
56 | 57 | " %timeit codec.decode(enc)\n", |
57 | | - " print('size : {:,}'.format(len(enc)))\n", |
58 | | - " print('size (zstd 1): {:,}'.format(len(zstd1.encode(enc))))\n", |
59 | | - " print('size (zstd 5): {:,}'.format(len(zstd5.encode(enc))))\n", |
60 | | - " print('size (zstd 9): {:,}'.format(len(zstd9.encode(enc))))" |
| 58 | + " print(f'size : {len(enc):,}')\n", |
| 59 | + " print(f'size (zstd 1): {len(zstd1.encode(enc)):,}')\n", |
| 60 | + " print(f'size (zstd 5): {len(zstd5.encode(enc)):,}')\n", |
| 61 | + " print(f'size (zstd 9): {len(zstd9.encode(enc)):,}')" |
61 | 62 | ] |
62 | 63 | }, |
63 | 64 | { |
|
67 | 68 | "outputs": [], |
68 | 69 | "source": [ |
69 | 70 | "from numcodecs.tests.common import greetings\n", |
| 71 | + "\n", |
70 | 72 | "msgpack_codec = numcodecs.MsgPack()\n", |
71 | 73 | "json_codec = numcodecs.JSON()\n", |
72 | 74 | "pickle_codec = numcodecs.Pickle()\n", |
|
281 | 283 | "outputs": [], |
282 | 284 | "source": [ |
283 | 285 | "from faker import Faker\n", |
| 286 | + "\n", |
284 | 287 | "fake = Faker()" |
285 | 288 | ] |
286 | 289 | }, |
|
554 | 557 | ], |
555 | 558 | "source": [ |
556 | 559 | "np.random.seed(42)\n", |
557 | | - "data4 = np.array([np.random.randint(0, 100, size=np.random.randint(0, 20)).astype('i4')\n", |
558 | | - " for i in range(100000)], dtype=object)\n", |
| 560 | + "data4 = np.array(\n", |
| 561 | + " [np.random.randint(0, 100, size=np.random.randint(0, 20)).astype('i4') for i in range(100000)],\n", |
| 562 | + " dtype=object,\n", |
| 563 | + ")\n", |
559 | 564 | "data4" |
560 | 565 | ] |
561 | 566 | }, |
|
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