Closed sdorkenw closed 2 years ago
Examples:
import numpy as np import datetime from caveclient import CAVEclient datastack_name = "flywire_fafb_production" client = CAVEclient(datastack_name) l2_ids = [175137943013294113, 175137943013294114, 175137943013294118, 175137943013294119,]
client.l2cache.get_l2data(l2_ids)
{'175137943013294113': {}, '175137943013294114': {'area_nm2': 253952, 'chunk_intersect_count': [[0, 0, 0], [0, 0, 0]], 'max_dt_nm': 62, 'mean_dt_nm': 25.390625, 'pca': [[-0.18603515625, 0.7392578125, -0.6474609375], [-0.2296142578125, -0.67333984375, -0.70263671875], [0.95556640625, -0.0178680419921875, -0.294921875]], 'rep_coord_nm': [535088, 248800, 164880], 'size_nm3': 4239360}, '175137943013294118': {'area_nm2': 2432, 'chunk_intersect_count': [[0, 0, 0], [0, 0, 0]], 'max_dt_nm': 16, 'mean_dt_nm': 16.0, 'pca': [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]], 'rep_coord_nm': [536240, 251008, 164920], 'size_nm3': 10240}, '175137943013294119': {}}
client.l2cache.get_l2data(l2_ids, attributes=["size_nm3", "pca", "rep_coord_nm"])
{'175137943013294113': {}, '175137943013294114': {'pca': [[-0.18603515625, 0.7392578125, -0.6474609375], [-0.2296142578125, -0.67333984375, -0.70263671875], [0.95556640625, -0.0178680419921875, -0.294921875]], 'rep_coord_nm': [535088, 248800, 164880], 'size_nm3': 4239360}, '175137943013294118': {'pca': [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]], 'rep_coord_nm': [536240, 251008, 164920], 'size_nm3': 10240}, '175137943013294119': {}}
client.l2cache.cache_metadata()
{'area_nm2': "<class 'numpy.uint32'>", 'chunk_intersect_count': "<class 'numpy.uint16'>", 'max_dt_nm': "<class 'numpy.uint16'>", 'mean_dt_nm': "<class 'numpy.float16'>", 'pca': "<class 'numpy.float16'>", 'rep_coord_nm': "<class 'numpy.uint64'>", 'size_nm3': "<class 'numpy.uint32'>"}
looks good.. if i were gonna add anything it would be a testing module that goes along with it that follows the pattern of the others mocking out the expected result.
Examples: