aboutsummaryrefslogtreecommitdiffstats
path: root/dlstuff/.two.py.swp
blob: 3e75bd66eb7f6296808fcb06f7d66418d03d514f (plain) (blame)
ofshex dumpascii
0000 62 30 56 49 4d 20 38 2e 30 00 00 00 00 10 00 00 07 09 c2 5b be 74 22 00 5e 26 00 00 62 6c 6f 6f b0VIM.8.0..........[.t".^&..bloo
0020 64 73 74 61 6c 6b 65 72 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 dstalker........................
0040 00 00 00 00 6c 6f 63 61 6c 68 6f 73 74 2e 6c 6f 63 61 6c 64 6f 6d 61 69 6e 00 00 00 00 00 00 00 ....localhost.localdomain.......
0060 00 00 00 00 00 00 00 00 00 00 00 00 7e 62 6c 6f 6f 64 73 74 61 6c 6b 65 72 2f 65 78 74 72 61 2f ............~bloodstalker/extra/
0080 73 65 65 72 2f 64 6c 73 74 75 66 66 2f 74 77 6f 2e 70 79 00 00 00 00 00 00 00 00 00 00 00 00 00 seer/dlstuff/two.py.............
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2080 1e 0d 00 00 ea 0c 00 00 bd 0c 00 00 9b 0c 00 00 88 0c 00 00 87 0c 00 00 6f 0c 00 00 4d 0c 00 00 ........................o...M...
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20c0 d3 0a 00 00 c4 0a 00 00 c3 0a 00 00 ac 0a 00 00 8a 0a 00 00 66 0a 00 00 3a 0a 00 00 07 0a 00 00 ....................f...:.......
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2340 20 20 20 73 68 65 6c 6c 20 3d 20 63 6f 64 65 2e 49 6e 74 65 72 61 63 74 69 76 65 43 6f 6e 73 6f ...shell.=.code.InteractiveConso
2360 6c 65 28 76 61 72 69 61 62 6c 65 73 29 00 20 20 20 20 20 20 20 20 20 20 20 20 76 61 72 69 61 62 le(variables).............variab
2380 6c 65 73 2e 75 70 64 61 74 65 28 6c 6f 63 61 6c 73 28 29 29 00 20 20 20 20 20 20 20 20 20 20 20 les.update(locals())............
23a0 20 76 61 72 69 61 62 6c 65 73 20 3d 20 67 6c 6f 62 61 6c 73 28 29 2e 63 6f 70 79 28 29 00 20 20 .variables.=.globals().copy()...
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2460 72 2e 61 72 67 73 2e 64 62 67 3a 00 20 20 20 20 61 72 67 70 61 72 73 65 72 20 3d 20 41 72 67 70 r.args.dbg:.....argparser.=.Argp
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24e0 66 69 74 28 78 5f 74 72 61 69 6e 2c 20 79 5f 74 72 61 69 6e 2c 20 65 70 6f 63 68 73 3d 34 2c 20 fit(x_train,.y_train,.epochs=4,.
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2540 20 70 6c 6f 74 5f 6c 6f 73 73 28 68 69 73 74 6f 72 79 29 00 20 20 20 20 68 69 73 74 6f 72 79 20 .plot_loss(history).....history.
2560 3d 20 6d 6f 64 65 6c 2e 66 69 74 28 70 61 72 74 69 61 6c 5f 78 5f 74 72 61 69 6e 2c 20 70 61 72 =.model.fit(partial_x_train,.par
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25c0 20 79 5f 76 61 6c 29 29 00 20 20 20 20 27 27 27 00 00 20 20 20 20 6d 6f 64 65 6c 2e 63 6f 6d 70 .y_val)).....'''......model.comp
25e0 69 6c 65 28 6f 70 74 69 6d 69 7a 65 72 3d 22 72 6d 73 70 72 6f 70 22 2c 20 6c 6f 73 73 3d 22 62 ile(optimizer="rmsprop",.loss="b
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2660 5b 3a 31 30 30 30 30 5d 00 20 20 20 20 70 61 72 74 69 61 6c 5f 78 5f 74 72 61 69 6e 20 3d 20 78 [:10000].....partial_x_train.=.x
2680 5f 74 72 61 69 6e 5b 31 30 30 30 30 3a 5d 00 20 20 20 20 78 5f 76 61 6c 20 3d 20 78 5f 74 72 61 _train[10000:].....x_val.=.x_tra
26a0 69 6e 5b 3a 31 30 30 30 30 5d 00 00 20 20 20 20 6d 6f 64 65 6c 2e 61 64 64 28 6c 61 79 65 72 73 in[:10000]......model.add(layers
26c0 2e 44 65 6e 73 65 28 31 2c 20 61 63 74 69 76 61 74 69 6f 6e 3d 22 73 69 67 6d 6f 69 64 22 29 29 .Dense(1,.activation="sigmoid"))
26e0 00 20 20 20 20 6d 6f 64 65 6c 2e 61 64 64 28 6c 61 79 65 72 73 2e 44 65 6e 73 65 28 31 36 2c 20 .....model.add(layers.Dense(16,.
2700 61 63 74 69 76 61 74 69 6f 6e 3d 22 72 65 6c 75 22 29 29 00 20 20 20 20 6d 6f 64 65 6c 2e 61 64 activation="relu")).....model.ad
2720 64 28 6c 61 79 65 72 73 2e 44 65 6e 73 65 28 31 36 2c 20 61 63 74 69 76 61 74 69 6f 6e 3d 22 72 d(layers.Dense(16,.activation="r
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2760 20 6d 6f 64 65 6c 20 3d 20 6d 6f 64 65 6c 73 2e 53 65 71 75 65 6e 74 69 61 6c 28 29 00 00 20 20 .model.=.models.Sequential()....
2780 20 20 79 5f 74 65 73 74 20 3d 20 6e 70 2e 61 73 61 72 72 61 79 28 74 65 73 74 5f 6c 61 62 65 6c ..y_test.=.np.asarray(test_label
27a0 73 29 2e 61 73 74 79 70 65 28 22 66 6c 6f 61 74 33 32 22 29 00 20 20 20 20 79 5f 74 72 61 69 6e s).astype("float32").....y_train
27c0 20 3d 20 6e 70 2e 61 73 61 72 72 61 79 28 74 72 61 69 6e 5f 6c 61 62 65 6c 73 29 2e 61 73 74 79 .=.np.asarray(train_labels).asty
27e0 70 65 28 22 66 6c 6f 61 74 33 32 22 29 00 20 20 20 20 78 5f 74 65 73 74 20 3d 20 76 65 63 74 6f pe("float32").....x_test.=.vecto
2800 72 69 7a 65 5f 73 65 71 75 65 6e 63 65 73 28 74 65 73 74 5f 64 61 74 61 29 00 20 20 20 20 78 5f rize_sequences(test_data).....x_
2820 74 72 61 69 6e 20 3d 20 76 65 63 74 6f 72 69 7a 65 5f 73 65 71 75 65 6e 63 65 73 28 74 72 61 69 train.=.vectorize_sequences(trai
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2860 61 62 65 6c 73 29 2c 20 28 74 65 73 74 5f 64 61 74 61 2c 20 74 65 73 74 5f 6c 61 62 65 6c 73 29 abels),.(test_data,.test_labels)
2880 20 3d 20 69 6d 64 62 2e 6c 6f 61 64 5f 64 61 74 61 28 6e 75 6d 5f 77 6f 72 64 73 3d 31 30 30 30 .=.imdb.load_data(num_words=1000
28a0 30 29 00 20 20 20 20 23 68 65 72 65 00 20 20 20 20 73 69 67 6e 61 6c 2e 73 69 67 6e 61 6c 28 73 0).....#here.....signal.signal(s
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28e0 00 64 65 66 20 70 72 65 6d 61 69 6e 28 61 72 67 70 61 72 73 65 72 29 3a 00 23 20 77 72 69 74 65 .def.premain(argparser):.#.write
2900 20 63 6f 64 65 20 68 65 72 65 00 00 20 20 20 20 70 6c 74 2e 73 68 6f 77 28 29 00 20 20 20 20 70 .code.here......plt.show().....p
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2940 29 00 20 20 20 20 70 6c 74 2e 78 6c 61 62 65 6c 28 22 45 70 6f 63 68 73 22 29 00 20 20 20 20 70 ).....plt.xlabel("Epochs").....p
2960 6c 74 2e 74 69 74 6c 65 28 22 74 72 61 69 6e 69 6e 67 20 61 6e 64 20 76 61 6c 69 64 61 74 69 6f lt.title("training.and.validatio
2980 6e 20 61 63 63 22 29 00 20 20 20 20 70 6c 74 2e 70 6c 6f 74 28 65 70 6f 63 68 73 2c 20 76 61 6c n.acc").....plt.plot(epochs,.val
29a0 5f 61 63 63 5f 76 61 6c 75 65 73 2c 20 22 62 22 2c 20 6c 61 62 65 6c 3d 22 56 61 6c 69 64 61 74 _acc_values,."b",.label="Validat
29c0 69 6f 6e 20 41 63 63 22 29 00 20 20 20 20 70 6c 74 2e 70 6c 6f 74 28 65 70 6f 63 68 73 2c 20 61 ion.Acc").....plt.plot(epochs,.a
29e0 63 63 5f 76 61 6c 75 65 73 2c 20 22 62 6f 22 2c 20 6c 61 62 65 6c 3d 22 54 72 61 69 6e 69 6e 67 cc_values,."bo",.label="Training
2a00 20 41 63 63 22 29 00 20 20 20 20 65 70 6f 63 68 73 20 3d 20 72 61 6e 67 65 28 31 2c 20 6c 65 6e .Acc").....epochs.=.range(1,.len
2a20 28 68 69 73 74 6f 72 79 5f 64 69 63 5b 22 61 63 63 22 5d 29 20 2b 20 31 29 00 20 20 20 20 76 61 (history_dic["acc"]).+.1).....va
2a40 6c 5f 61 63 63 5f 76 61 6c 75 65 73 20 3d 20 68 69 73 74 6f 72 79 5f 64 69 63 5b 22 76 61 6c 5f l_acc_values.=.history_dic["val_
2a60 61 63 63 22 5d 00 20 20 20 20 61 63 63 5f 76 61 6c 75 65 73 20 3d 20 68 69 73 74 6f 72 79 5f 64 acc"].....acc_values.=.history_d
2a80 69 63 5b 22 61 63 63 22 5d 00 20 20 20 20 68 69 73 74 6f 72 79 5f 64 69 63 20 3d 20 68 69 73 74 ic["acc"].....history_dic.=.hist
2aa0 6f 72 79 2e 68 69 73 74 6f 72 79 00 64 65 66 20 70 6c 6f 74 5f 61 63 63 28 68 69 73 74 6f 72 79 ory.history.def.plot_acc(history
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2ae0 64 28 29 00 20 20 20 20 70 6c 74 2e 79 6c 61 62 65 6c 28 22 4c 6f 73 73 22 29 00 20 20 20 20 70 d().....plt.ylabel("Loss").....p
2b00 6c 74 2e 78 6c 61 62 65 6c 28 22 45 70 6f 63 68 73 22 29 00 20 20 20 20 70 6c 74 2e 74 69 74 6c lt.xlabel("Epochs").....plt.titl
2b20 65 28 22 74 72 61 69 6e 69 6e 67 20 61 6e 64 20 76 61 6c 69 64 61 74 69 6f 6e 20 6c 6f 73 73 22 e("training.and.validation.loss"
2b40 29 00 20 20 20 20 70 6c 74 2e 70 6c 6f 74 28 65 70 6f 63 68 73 2c 20 76 61 6c 5f 6c 6f 73 73 5f ).....plt.plot(epochs,.val_loss_
2b60 76 61 6c 75 65 73 2c 20 22 62 22 2c 20 6c 61 62 65 6c 3d 22 56 61 6c 69 64 61 74 69 6f 6e 20 4c values,."b",.label="Validation.L
2b80 6f 73 73 22 29 00 20 20 20 20 70 6c 74 2e 70 6c 6f 74 28 65 70 6f 63 68 73 2c 20 6c 6f 73 73 5f oss").....plt.plot(epochs,.loss_
2ba0 76 61 6c 75 65 73 2c 20 22 62 6f 22 2c 20 6c 61 62 65 6c 3d 22 54 72 61 69 6e 69 6e 67 20 4c 6f values,."bo",.label="Training.Lo
2bc0 73 73 22 29 00 20 20 20 20 65 70 6f 63 68 73 20 3d 20 72 61 6e 67 65 28 31 2c 20 6c 65 6e 28 68 ss").....epochs.=.range(1,.len(h
2be0 69 73 74 6f 72 79 5f 64 69 63 5b 22 6c 6f 73 73 22 5d 29 20 2b 20 31 29 00 20 20 20 20 76 61 6c istory_dic["loss"]).+.1).....val
2c00 5f 6c 6f 73 73 5f 76 61 6c 75 65 73 20 3d 20 68 69 73 74 6f 72 79 5f 64 69 63 5b 22 76 61 6c 5f _loss_values.=.history_dic["val_
2c20 6c 6f 73 73 22 5d 00 20 20 20 20 6c 6f 73 73 5f 76 61 6c 75 65 73 20 3d 20 68 69 73 74 6f 72 79 loss"].....loss_values.=.history
2c40 5f 64 69 63 5b 22 6c 6f 73 73 22 5d 00 20 20 20 20 68 69 73 74 6f 72 79 5f 64 69 63 20 3d 20 68 _dic["loss"].....history_dic.=.h
2c60 69 73 74 6f 72 79 2e 68 69 73 74 6f 72 79 00 64 65 66 20 70 6c 6f 74 5f 6c 6f 73 73 28 68 69 73 istory.history.def.plot_loss(his
2c80 74 6f 72 79 29 3a 00 00 20 20 20 20 72 65 74 75 72 6e 20 72 65 73 75 6c 74 73 00 20 20 20 20 20 tory):......return.results......
2ca0 20 20 20 72 65 73 75 6c 74 73 5b 69 2c 20 73 65 71 75 65 6e 63 65 5d 20 3d 20 31 2e 00 20 20 20 ...results[i,.sequence].=.1.....
2cc0 20 66 6f 72 20 69 2c 20 73 65 71 75 65 6e 63 65 20 69 6e 20 65 6e 75 6d 65 72 61 74 65 28 73 65 .for.i,.sequence.in.enumerate(se
2ce0 71 75 65 6e 63 65 73 29 3a 00 20 20 20 20 72 65 73 75 6c 74 73 20 3d 20 6e 70 2e 7a 65 72 6f 73 quences):.....results.=.np.zeros
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2d20 66 20 76 65 63 74 6f 72 69 7a 65 5f 73 65 71 75 65 6e 63 65 73 28 73 65 71 75 65 6e 63 65 73 2c f.vectorize_sequences(sequences,
2d40 20 64 69 6d 65 6e 73 69 6f 6e 3d 31 30 30 30 30 29 3a 00 00 20 20 20 20 20 20 20 20 73 65 6c 66 .dimension=10000):..........self
2d60 2e 61 72 67 73 20 3d 20 70 61 72 73 65 72 2e 70 61 72 73 65 5f 61 72 67 73 28 29 00 20 20 20 20 .args.=.parser.parse_args().....
2d80 20 20 20 20 70 61 72 73 65 72 2e 61 64 64 5f 61 72 67 75 6d 65 6e 74 28 22 2d 2d 64 62 67 22 2c ....parser.add_argument("--dbg",
2da0 20 61 63 74 69 6f 6e 3d 22 73 74 6f 72 65 5f 74 72 75 65 22 2c 20 68 65 6c 70 3d 22 64 65 62 75 .action="store_true",.help="debu
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2de0 72 2e 61 64 64 5f 61 72 67 75 6d 65 6e 74 28 22 2d 2d 62 6f 6f 6c 22 2c 20 61 63 74 69 6f 6e 3d r.add_argument("--bool",.action=
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2e20 6c 74 3d 46 61 6c 73 65 29 00 20 20 20 20 20 20 20 20 70 61 72 73 65 72 2e 61 64 64 5f 61 72 67 lt=False).........parser.add_arg
2e40 75 6d 65 6e 74 28 22 2d 2d 73 74 72 69 6e 67 22 2c 20 74 79 70 65 3d 73 74 72 2c 20 68 65 6c 70 ument("--string",.type=str,.help
2e60 3d 22 73 74 72 69 6e 67 22 29 00 20 20 20 20 20 20 20 20 70 61 72 73 65 72 20 3d 20 61 72 67 70 ="string").........parser.=.argp
2e80 61 72 73 65 2e 41 72 67 75 6d 65 6e 74 50 61 72 73 65 72 28 29 00 20 20 20 20 64 65 66 20 5f 5f arse.ArgumentParser().....def.__
2ea0 69 6e 69 74 5f 5f 28 73 65 6c 66 29 3a 00 63 6c 61 73 73 20 41 72 67 70 61 72 73 65 72 28 6f 62 init__(self):.class.Argparser(ob
2ec0 6a 65 63 74 29 3a 00 00 20 20 20 20 73 79 73 2e 65 78 69 74 28 30 29 00 20 20 20 20 70 72 69 6e ject):......sys.exit(0).....prin
2ee0 74 28 29 00 64 65 66 20 53 69 67 48 61 6e 64 6c 65 72 5f 53 49 47 49 4e 54 28 73 69 67 6e 75 6d t().def.SigHandler_SIGINT(signum
2f00 2c 20 66 72 61 6d 65 29 3a 00 00 69 6d 70 6f 72 74 20 6d 61 74 70 6c 6f 74 6c 69 62 2e 70 79 70 ,.frame):..import.matplotlib.pyp
2f20 6c 6f 74 20 61 73 20 70 6c 74 00 66 72 6f 6d 20 6b 65 72 61 73 20 69 6d 70 6f 72 74 20 6c 61 79 lot.as.plt.from.keras.import.lay
2f40 65 72 73 00 66 72 6f 6d 20 6b 65 72 61 73 20 69 6d 70 6f 72 74 20 6d 6f 64 65 6c 73 00 69 6d 70 ers.from.keras.import.models.imp
2f60 6f 72 74 20 6e 75 6d 70 79 20 61 73 20 6e 70 00 66 72 6f 6d 20 6b 65 72 61 73 2e 64 61 74 61 73 ort.numpy.as.np.from.keras.datas
2f80 65 74 73 20 69 6d 70 6f 72 74 20 69 6d 64 62 00 69 6d 70 6f 72 74 20 73 79 73 00 69 6d 70 6f 72 ets.import.imdb.import.sys.impor
2fa0 74 20 73 69 67 6e 61 6c 00 69 6d 70 6f 72 74 20 72 65 61 64 6c 69 6e 65 00 69 6d 70 6f 72 74 20 t.signal.import.readline.import.
2fc0 63 6f 64 65 00 69 6d 70 6f 72 74 20 61 72 67 70 61 72 73 65 00 00 23 20 5f 2a 5f 20 63 6f 64 69 code.import.argparse..#._*_.codi
2fe0 6e 67 3d 75 74 66 2d 38 20 5f 2a 5f 00 23 21 2f 75 73 72 2f 62 69 6e 2f 70 79 74 68 6f 6e 33 00 ng=utf-8._*_.#!/usr/bin/python3.