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"This creates an HDF5 file with a potentially large number of objects"
import sys
import numpy as np
import tables as tb
filename = sys.argv[1]
# Open a new empty HDF5 file
fileh = tb.open_file(filename, mode="w")
# nlevels -- Number of levels in hierarchy
# ngroups -- Number of groups on each level
# ndatasets -- Number of arrays on each group
# LR: Low ratio groups/datasets
# nlevels, ngroups, ndatasets = (3, 1, 1000)
# MR: Medium ratio groups/datasets
nlevels, ngroups, ndatasets = (3, 10, 100)
# nlevels, ngroups, ndatasets = (3, 5, 10)
# HR: High ratio groups/datasets
# nlevels, ngroups, ndatasets = (30, 10, 10)
# Create an Array to save on disk
a = np.array([-1, 2, 4], np.int16)
group = fileh.root
group2 = fileh.root
for k in range(nlevels):
for j in range(ngroups):
for i in range(ndatasets):
# Save the array on the HDF5 file
fileh.create_array(
group2, "array" + str(i), a, "Signed short array"
)
# Create a new group
group2 = fileh.create_group(group, "group" + str(j))
# Create a new group
group3 = fileh.create_group(group, "ngroup" + str(k))
# Iterate over this new group (group3)
group = group3
group2 = group3
fileh.close()
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