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#!/usr/bin/env python3
"""Simple benchmark for testing chunkshapes and nrowsinbuf."""
from time import perf_counter as clock
import numpy as np
import tables as tb
L = 20
N = 2000
M = 30
complevel = 1
recarray = np.empty(shape=2, dtype="(2,2,2)i4,(2,3,3)f8,i4,i8")
f = tb.open_file("chunkshape.h5", mode="w")
# t = f.create_table(f.root, 'table', recarray, "mdim recarray")
# a0 = f.create_array(f.root, 'field0', recarray['f0'], "mdim int32 array")
# a1 = f.create_array(f.root, 'field1', recarray['f1'], "mdim float64 array")
# c0 = f.create_carray(f.root, 'cfield0',
# tables.Int32Atom(), (2,2,2),
# "mdim int32 carray")
# c1 = f.create_carray(f.root, 'cfield1',
# tables.Float64Atom(), (2,3,3),
# "mdim float64 carray")
f1 = tb.open_file("chunkshape1.h5", mode="w")
c1 = f.create_carray(
f1.root,
"cfield1",
tb.Int32Atom(),
(L, N, M),
"scalar int32 carray",
tb.Filters(complevel=0),
)
t1 = clock()
c1[:] = np.empty(shape=(L, 1, 1), dtype="int32")
print("carray1 populate time:", clock() - t1)
f1.close()
f2 = tb.open_file("chunkshape2.h5", mode="w")
c2 = f.create_carray(
f2.root,
"cfield2",
tb.Int32Atom(),
(L, M, N),
"scalar int32 carray",
tb.Filters(complevel),
)
t1 = clock()
c2[:] = np.empty(shape=(L, 1, 1), dtype="int32")
print("carray2 populate time:", clock() - t1)
f2.close()
f0 = tb.open_file("chunkshape0.h5", mode="w")
e0 = f.create_earray(
f0.root,
"efield0",
tb.Int32Atom(),
(0, L, M),
"scalar int32 carray",
tb.Filters(complevel),
expectedrows=N,
)
t1 = clock()
e0.append(np.empty(shape=(N, L, M), dtype="int32"))
print("earray0 populate time:", clock() - t1)
f0.close()
f1 = tb.open_file("chunkshape1.h5", mode="w")
e1 = f.create_earray(
f1.root,
"efield1",
tb.Int32Atom(),
(L, 0, M),
"scalar int32 carray",
tb.Filters(complevel),
expectedrows=N,
)
t1 = clock()
e1.append(np.empty(shape=(L, N, M), dtype="int32"))
print("earray1 populate time:", clock() - t1)
f1.close()
f2 = tb.open_file("chunkshape2.h5", mode="w")
e2 = f.create_earray(
f2.root,
"efield2",
tb.Int32Atom(),
(L, M, 0),
"scalar int32 carray",
tb.Filters(complevel),
expectedrows=N,
)
t1 = clock()
e2.append(np.empty(shape=(L, M, N), dtype="int32"))
print("earray2 populate time:", clock() - t1)
f2.close()
# t1=time()
# c2[:] = np.empty(shape=(M, N), dtype="int32")
# print "carray populate time:", time()-t1
# f3 = f.create_carray(f.root, 'cfield3',
# tables.Float64Atom(), (3,),
# "scalar float64 carray", chunkshape=(32,))
# e2 = f.create_earray(f.root, 'efield2',
# tables.Int32Atom(), (0, M),
# "scalar int32 carray", expectedrows=N)
# t1=time()
# e2.append(np.empty(shape=(N, M), dtype="int32"))
# print "earray populate time:", time()-t1
# t1=time()
# c2._f_copy(newname='cfield2bis')
# print "carray copy time:", time()-t1
# t1=time()
# e2._f_copy(newname='efield2bis')
# print "earray copy time:", time()-t1
f.close()
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