fea19ef103bfdae10a268c7c1b3f63a9e1a3701f,onmt/tests/test_preprocess.py,,,#,106

Before Change


    _add_test(p, "dataset_build")

// Test audio preprocessing
for p in copy.deepcopy(test_databuild):
    p.append(("data_type", "audio"))
    p.append(("src_dir", "/tmp/speech/an4_dataset"))
    p.append(("train_src", "/tmp/speech/src-train-head.txt"))
    p.append(("train_tgt", "/tmp/speech/tgt-train-head.txt"))
    p.append(("valid_src", "/tmp/speech/src-val-head.txt"))
    p.append(("valid_tgt", "/tmp/speech/tgt-val-head.txt"))
    p.append(("sample_rate", 16000))
    p.append(("window_size", 0.04))
    p.append(("window_stride", 0.02))
    p.append(("window", "hamming"))
    _add_test(p, "dataset_build")

After Change


    _add_test(p, "dataset_build")

// Test image preprocessing
test_databuild = [[],
                  [("tgt_vocab_size", 1)],
                  [("tgt_vocab_size", 10000)],
                  [("tgt_seq_length", 1)],
                  [("tgt_seq_length", 5000)],
                  [("tgt_seq_length_trunc", 1)],
                  [("tgt_seq_length_trunc", 5000)],
                  [("shuffle", 0)],
                  [("lower", True)],
                  [("shard_size", 5)],
                  [("shard_size", 50)],
                  [("tgt_vocab", "/tmp/tgt_vocab.txt")],
                  ]
test_databuild_common = [("data_type", "img"),
                         ("src_dir", "/tmp/im2text/images"),
                         ("train_src", "/tmp/im2text/src-train-head.txt"),
                         ("train_tgt", "/tmp/im2text/tgt-train-head.txt"),
                         ("valid_src", "/tmp/im2text/src-val-head.txt"),
                         ("valid_tgt", "/tmp/im2text/tgt-val-head.txt"),
                         ]
for p in test_databuild:
    _add_test(p + test_databuild_common, "dataset_build")

// Test audio preprocessing
test_databuild = [[],
                  [("tgt_vocab_size", 1)],
                  [("tgt_vocab_size", 10000)],
                  [("src_seq_length", 1)],
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 7

Instances


Project Name: OpenNMT/OpenNMT-py
Commit Name: fea19ef103bfdae10a268c7c1b3f63a9e1a3701f
Time: 2018-10-05
Author: da03@users.noreply.github.com
File Name: onmt/tests/test_preprocess.py
Class Name:
Method Name:


Project Name: OpenNMT/OpenNMT-py
Commit Name: d314a48ed4a95926aece62f554cecb4544b5acd5
Time: 2019-11-12
Author: pltrdy@gmail.com
File Name: onmt/models/model_saver.py
Class Name: ModelSaverBase
Method Name: save


Project Name: has2k1/plotnine
Commit Name: baaed623e7eaf31ba7119ae5ba6a45e615f1596a
Time: 2015-10-06
Author: has2k1@gmail.com
File Name: ggplot/geoms/geom.py
Class Name: geom
Method Name: _make_pinfos