def download_runcard(input_folder, runcard, runname):
tar = warmup_name(runcard, runname)
gf.print_flush("downloading " + input_folder + "/" + tar)
stat = gf.copy_from_grid(input_folder + "/" + tar, tar, args)
gf.print_flush("finished copying from grid storage... untarring now")
stat += gf.untar_file(tar)
return gf.do_shell("rm {0}".format(tar)) + stat
def download_rivet(rivet_folder):
tar = os.path.basename(rivet_folder)
gf.print_flush("downloading "+rivet_folder)
stat = gf.copy_from_grid(rivet_folder, "", args)
stat += gf.untar_file(tar)
rivet_dir = os.path.basename(os.path.splitext(rivet_folder)[0])
os.environ['RIVET_ANALYSIS_PATH'] = os.getcwd()+"/"+rivet_dir
return gf.do_shell("rm {0}".format(tar))+stat
def download_runcard(input_folder, runcard, runname):
tar = warmup_name(runcard, runname)
gf.print_flush("downloading "+input_folder+"/"+tar)
stat = gf.copy_from_grid(input_folder+"/"+tar, tar, args)
stat += gf.untar_file(tar)
# TODO download:
# Scale setters
return gf.do_shell("rm {0}".format(tar))+stat
def bring_nnlojet(input_grid, runcard, runname):
# Todo: this is not very general, is it?
tmp_tar = "nnlojet.tar.gz"
input_name = "{0}/{1}{2}.tar.gz".format(input_grid, runcard, runname)
stat = gf.copy_from_grid(input_name, tmp_tar, args)
stat += gf.untar_file(tmp_tar)
stat += gf.do_shell("rm {0}".format(tmp_tar))
stat += gf.do_shell("ls")
return stat
def download_program(source):
tar_name = os.path.basename(source)
if not tar_name.endswith("tar.gz"):
gf.print_flush("{0} is not a valid path to download".format(source))
return 1
stat = gf.copy_from_grid(source, tar_name, args)
stat += gf.untar_file(tar_name)
stat += gf.do_shell("rm {0}".format(tar_name))
if gf.DEBUG_LEVEL > 2:
gf.do_shell("ls -l")
return stat
def bring_lhapdf(lhapdf_grid):
tmp_tar = "lhapdf.tar.gz"
stat = gf.copy_from_grid(lhapdf_grid, tmp_tar, args)
gf.print_flush("LHAPDF copy from GRID status: {0}".format(stat))
stat += gf.untar_file(tmp_tar)
return gf.do_shell("rm {0}".format(tmp_tar))+stat
def download_latin_hypercube(input_folder, latin_hypercube):
lhs = latin_hypercube + ".npy"
gf.print_flush("downloading " + input_folder + "/" + lhs)
stat = gf.copy_from_grid(input_folder + "/" + lhs, lhs, args)
return stat
def download_world(input_folder, world):
world_file = world + ".hdf5"
gf.print_flush("downloading " + input_folder + "/worlds/" + world_file)
stat = gf.copy_from_grid(input_folder + "/worlds/" + world_file,
world_file, args)
return stat