import sys
import tables
import tables._comp_bzip2
# We don't build this one on Windows.
if not sys.platform == "win32":
import tables._comp_lzo
import tables.hdf5extension
import tables.indexesextension
import tables.linkextension
import tables.lrucacheextension
import tables.tableextension
import tables.utilsextension
tables.print_versions()
if sys.platform.startswith('linux'):
lzo_ver = tables.which_lib_version("lzo")[1]
assert lzo_ver == '2.06', lzo_ver
if sys.platform == 'win32':
print("""
Skipping tables.test() on Windows.
There is currently one test failure, and we have to look into this.
""")
else:
from multiprocessing import freeze_support
freeze_support()
tables.test()
chunkshape=CHUNKSHAPE,
)
# Do the actual computation and store in output
ex = tb.Expr(expr) # parse the expression
ex.setOutput(r) # where is stored the result?
# when commented out, the result goes in-memory
ex.eval() # evaluate!
f.close()
print_filesize(h5fname, clib, clevel)
if __name__ == '__main__':
tb.print_versions()
print "Total size for datasets:", round(2*N*dtype.itemsize/MB, 1), "MB"
# Get the compression libraries supported
#supported_clibs = [clib for clib in ("zlib", "lzo", "bzip2", "blosc")
#supported_clibs = [clib for clib in ("zlib", "lzo", "blosc")
supported_clibs = [clib for clib in ("blosc",)
if tb.whichLibVersion(clib)]
# Initialization code
#for what in ["numpy", "numpy.memmap", "numexpr"]:
for what in ["numpy", "numexpr"]:
#break
print "Populating x using %s with %d points..." % (what, N)
t0 = time()
import sys
import tables
import tables._comp_bzip2
# We don't build this one on Windows.
if not sys.platform == "win32":
import tables._comp_lzo
import tables.hdf5extension
import tables.indexesextension
import tables.linkextension
import tables.lrucacheextension
import tables.tableextension
import tables.utilsextension
tables.print_versions()
if sys.platform.startswith('linux'):
lzo_ver = tables.which_lib_version("lzo")[1]
assert lzo_ver == '2.06', lzo_ver
from multiprocessing import freeze_support
freeze_support()
tables.test()
chunkshape=CHUNKSHAPE,
)
# Do the actual computation and store in output
ex = tb.Expr(expr) # parse the expression
ex.set_output(r) # where is stored the result?
# when commented out, the result goes in-memory
ex.eval() # evaluate!
f.close()
print_filesize(h5fname, clib, clevel)
if __name__ == '__main__':
tb.print_versions()
print(f"Total size for datasets: {2 * N * dtype.itemsize / MB:.1f} MB")
# Get the compression libraries supported
# supported_clibs = [clib for clib in ("zlib", "lzo", "bzip2", "blosc")
# supported_clibs = [clib for clib in ("zlib", "lzo", "blosc")
supported_clibs = [clib for clib in ("blosc",)
if tb.which_lib_version(clib)]
# Initialization code
# for what in ["numpy", "numpy.memmap", "numexpr"]:
for what in ["numpy", "numexpr"]:
# break
print("Populating x using %s with %d points..." % (what, N))
t0 = clock()
