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#!/usr/bin/env python3
# Copyright (C) 2005-2007 Carabos Coop. V. All rights reserved
# Copyright (C) 2008-2024 Vicent Mas. All rights reserved
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
# Author: Vicent Mas - vmas@vitables.org
"This creates an HDF5 file with a potentially large number of objects"
import numpy as np
import tables
filename = 'large_number_of_objects.h5'
# Open a new empty HDF5 file
fileh = tables.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)
# HR: High ratio groups/datasets
#nlevels, ngroups, ndatasets = (30, 10, 10)
# Create an Array to save on disk
a = np.array([-1, 2, 4], dtype=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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