Open aronchick opened 4 months ago
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❯ bacalhau job describe j-86588a34-9abf-414d-9148-94e21ddcb71b ID = j-86588a34-9abf-414d-9148-94e21ddcb71b Name = Run Over Share Namespace = science Type = batch State = Completed Count = 1 Created Time = 2024-07-12 12:43:37 Modified Time = 2024-07-12 12:43:44 Version = 0 Summary Completed = 1 Job History TIME REV. STATE TOPIC EVENT 2024-07-12 12:43:37 1 Pending Submission Job submitted 2024-07-12 12:43:37 2 Running 2024-07-12 12:43:44 3 Completed Executions ID NODE ID STATE DESIRED REV. CREATED MODIFIED COMMENT e-fc8b8316 n-d8d2ea18 Completed Stopped 6 9s ago 2s ago Accepted job Execution e-fc8b8316 History TIME REV. STATE TOPIC EVENT 2024-07-12 12:43:37 1 New 2024-07-12 12:43:37 2 AskForBid 2024-07-12 12:43:37 3 AskForBidAccepted Requesting Node Accepted job 2024-07-12 12:43:37 4 AskForBidAccepted 2024-07-12 12:43:37 5 BidAccepted 2024-07-12 12:43:44 6 Completed Standard Output Running - No Comment at Header - 2024-07-12 12:43:37.331093 ------------------------------------------------------------ h5py version: 3.11.0 h5py info: HDF5 version: 1.14.2 MPI enabled: False ROS3 enabled: False Direct VFD enabled: False File path: /azureshare/spliced_blc0001020304050607_guppi_57532_10225_HIP56445_0029.gpuspec. 0000.h5 File Structure: Group: Attributes: {'CLASS': 'FILTERBANK', 'VERSION': '1.0'} data: Dataset: Shape: (16, 1, 318230528) Dtype: float32 Attributes: {'DIMENSION_LABELS': ['frequency', 'feed_id', 'time'], 'az_start': np.float64(0.0), 'data_type': np.int64(1), 'fch1': np.float64(1926.26953125), 'foff': np.float64(-2.835503418452676e-06), 'machine_id': np.int64(20), 'nbits': np.int64(32), 'nchans': np.int64(318230528), 'nifs': np.int64(1), 'source_name': 'HIP56445', 'src_dej': np.float64(3.0594441666666667), 'src_raj': np.float64(11.57269388888889), 'telescope_id': np.int64(6), 'tsamp': np.float64(17.986224128), 'tstart': np.float64(57532.11834490741), 'za_start': np.float64(0.0)} mask: Dataset: Shape: (16, 1, 318230528) Dtype: uint8 Attributes: {'DIMENSION_LABELS': ['frequency', 'feed_id', 'time']} Data Analysis: Path: //data Type: float32 Shape: (16, 1, 318230528) Size: 5091688448 Compression: None Compression Opts: None Path: //mask Type: uint8 Shape: (16, 1, 318230528) Size: 5091688448 Compression: None Compression Opts: None Sample Min: 0 Sample Max: 0 Sample Mean: 0.0
Can you give more info about the submitted job, and what the expected output should be?
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