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Method find_datasets

tensorlayer/db.py:361–397  ·  view source on GitHub ↗

Finds and returns all datasets from the database which matches the requirement. In some case, the data in a dataset can be stored separately for better management. Parameters ---------- dataset_name : str The name/key of dataset. kwargs : other ev

(self, dataset_name=None, **kwargs)

Source from the content-addressed store, hash-verified

359 return False
360
361 def find_datasets(self, dataset_name=None, **kwargs):
362 """Finds and returns all datasets from the database which matches the requirement.
363 In some case, the data in a dataset can be stored separately for better management.
364
365 Parameters
366 ----------
367 dataset_name : str
368 The name/key of dataset.
369 kwargs : other events
370 Other events, such as description, author and etc (optional).
371
372 Returns
373 --------
374 params : the parameters, return False if nothing found.
375
376 """
377
378 self._fill_project_info(kwargs)
379 if dataset_name is None:
380 raise Exception("dataset_name is None, please give a dataset name")
381 kwargs.update({'dataset_name': dataset_name})
382
383 s = time.time()
384 pc = self.db.Dataset.find(kwargs)
385
386 if pc is not None:
387 dataset_id_list = pc.distinct('dataset_id')
388 dataset_list = []
389 for dataset_id in dataset_id_list: # you may have multiple Buckets files
390 tmp = self.dataset_fs.get(dataset_id).read()
391 dataset_list.append(self._deserialization(tmp))
392 else:
393 print("[Database] FAIL! Cannot find any dataset: {}".format(kwargs))
394 return False
395
396 print("[Database] Find {} datasets SUCCESS, took: {}s".format(len(dataset_list), round(time.time() - s, 2)))
397 return dataset_list
398
399 def delete_datasets(self, **kwargs):
400 """Delete datasets.

Callers

nothing calls this directly

Calls 4

_fill_project_infoMethod · 0.95
_deserializationMethod · 0.95
getMethod · 0.80
updateMethod · 0.45

Tested by

no test coverage detected