Wrap a list of datapoints to a DataFlow
| 68 | |
| 69 | |
| 70 | class DataFromList(RNGDataFlow): |
| 71 | """ Wrap a list of datapoints to a DataFlow""" |
| 72 | |
| 73 | def __init__(self, lst, shuffle=True): |
| 74 | """ |
| 75 | Args: |
| 76 | lst (list): input list. Each element is a datapoint. |
| 77 | shuffle (bool): shuffle data. |
| 78 | """ |
| 79 | super(DataFromList, self).__init__() |
| 80 | self.lst = lst |
| 81 | self.shuffle = shuffle |
| 82 | |
| 83 | def __len__(self): |
| 84 | return len(self.lst) |
| 85 | |
| 86 | def __iter__(self): |
| 87 | if not self.shuffle: |
| 88 | yield from self.lst |
| 89 | else: |
| 90 | idxs = np.arange(len(self.lst)) |
| 91 | self.rng.shuffle(idxs) |
| 92 | for k in idxs: |
| 93 | yield self.lst[k] |
| 94 | |
| 95 | |
| 96 | class DataFromGenerator(DataFlow): |
no outgoing calls
no test coverage detected