# variable_length.py # # LICENSE # # The MIT License # # Copyright (c) 2020 TileDB, Inc. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # # DESCRIPTION # # Please see the TileDB documentation for more information: # https://docs.tiledb.com/main/how-to/arrays/writing-arrays/var-length-attributes # # This program shows how to set/get the TileDB configuration parameters. # import numpy as np #%% import tiledb from tiledb.tests.common import assert_subarrays_equal array_name = "variable_length_array" #%% def create_array(): dom = tiledb.Domain( tiledb.Dim(name="rows", domain=(1, 4), tile=4, dtype=np.int64), tiledb.Dim(name="cols", domain=(1, 4), tile=4, dtype=np.int64), ) attrs = [ tiledb.Attr(name="a1", var=True, dtype="U"), tiledb.Attr(name="a2", var=True, dtype=np.int64), ] schema = tiledb.ArraySchema(domain=dom, sparse=False, attrs=attrs) tiledb.Array.create(array_name, schema) return schema def generate_data(): # generate test input data a1_data = np.array( [ "a", "bb", "ccc", "dd", "eee", "f", "g", "hhh", "i", "jjj", "kk", "l", "m", "n", "oo", "p", ], dtype=object, ) a1_data = a1_data.reshape(4, 4) a2_data = np.array( list( map( lambda v: np.repeat(v[0], v[1]).astype(np.int64), [ (1, 1), (2, 2), (3, 1), (4, 1), (5, 1), (6, 2), (7, 2), (8, 3), (9, 2), (10, 1), (11, 1), (12, 2), (13, 1), (14, 3), (15, 1), (16, 1), ], ) ), dtype=object, ) a2_data = a2_data.reshape(4, 4) data_dict = {"a1": a1_data, "a2": a2_data} return data_dict def write_array(data_dict): # open array for writing, and write data with tiledb.open(array_name, "w") as array: array[:] = data_dict def test_output_subarrays(test_dict): with tiledb.open(array_name) as A: rt_dict = A[:] assert_subarrays_equal(test_dict["a2"], rt_dict["a2"]) create_array() data = generate_data() write_array(data) test_output_subarrays(data)