From d81777e347329726e145fcdd6768b6e787c6e72f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Aur=C3=A9lien=20Delval?= Date: Mon, 3 May 2021 13:59:43 +0200 Subject: [PATCH] Add CI dataset and the tool to generate it. Since the dataset must be accessible from the CI runner, the best solution is probably to commit a small dataset containing only the required cycles. It's included in this commit, and can be generated by extract-from-h5.py using the same cycles list as the one used by vfc_test_h5.cpp. Moreover, the probes exported by vfc_test_h5.cpp are now 0-padded, which will result in a better sorting in the results. --- datasets/ci_dataset.hdf5 | Bin 0 -> 840847 bytes tests/vfc_test_h5.cpp | 12 +++++-- tools/extract-from-h5.py | 72 +++++++++++++++++++++++++++++++++++++++ 3 files changed, 81 insertions(+), 3 deletions(-) create mode 100644 datasets/ci_dataset.hdf5 create mode 100644 tools/extract-from-h5.py diff --git a/datasets/ci_dataset.hdf5 b/datasets/ci_dataset.hdf5 new file mode 100644 index 0000000000000000000000000000000000000000..c7c91c24b07cb9db23c81a6e611a19bbd61f6073 GIT binary patch literal 840847 zcmeFa1ymi)miUVk+yVrLKp;SHf?EW)03o=0aCZw32<{T(;1WDQaMvKg-QC^c9L}Ev zxa)qI$#>_yH8bmf-=nkAC3|;u)vv3XuG+m%e-e2ugo22V2=Q}!@Bjh^0{vI?ZU?^I zLWYokW!uw+?9V9-W~=q z2YVBy z^fqlWbc00mR^PY*;g=-&wp~n7H|1H}%5M+55B`S;hzP!T^RsA=+kP;2dmRoWZ~En* 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zzhqd3b#g%GfnEyKfH3B*WS!d_#kdxIK;ooQUmFuLh;mP5JBMm{uE-AAZc6l_SIUcG zc3BiD$PL=8HC?I=euFa{!5Dz@*uB{N!|JT3YW#Xr#&`YG#XM4=I}?9`BlayK0s(*w zwi^BkTo9ALhOhsj3*zTK^uHx%4dB-a{j~r0oHa~Ff9p&B6U|@kzv{ZFLHSL$e<<|J z{Wb{x=Qw}5s_tUk{{h)u#T|h=0(S)N2;334BXCFHPfg&T?Hm67|KQ)3{{x{*F~2@; M` \n" + ) + exit(1) + +source_dataset_path = sys.argv[1] +cycles_list_path = sys.argv[2] +destination_dataset_path = sys.argv[3] + + + # Read the cycles list + +cycles_list = [] + +try: + f = open(cycles_list_path) + for line in f: + cycles_list.extend([cycle for cycle in line.split()]) +except IOError: + sys.stderr.write("Error: Could not read " + cycles_list_path + "\n") + exit(1) +finally: + f.close() + + + # Read the source dataset, and extract the cycles to the destination dataset + +try: + fs = h5py.File(source_dataset_path, "r") + +except IOError: + sys.stderr.write("Error: Could not read " + source_dataset_path + "\n") + exit(1) + +fd = h5py.File(destination_dataset_path, "w") + +# Copy cycles groups + +groups = [ + "slater_matrix_dim", + "nupdates", + "slater_matrix", + "slater_inverse", + "col_update_index", + "updates" +] + +for cycle in cycles_list: + cycle_name = "cycle_" + cycle + + new_cycle = fd.create_group(cycle_name) + + # Copy all datasets + for group_name in groups: + fs.copy(cycle_name + "/" + group_name, new_cycle) + + +print("Dataset successfully exported to %s" % source_dataset_path)