How to use write_cores method in autotest

Best Python code snippet using autotest_python Github


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...132 time.ctime(float(crash_time)))133 report += "Program backtrace:\n%s\n" % backtrace134 report_path = os.path.join(basedir, 'report')135 write_to_file(report_path, report)136def write_cores(core_data, dir_list):137 """138 Write core files to all directories, optionally providing reports.139 @param core_data: Contents of the core file.140 @param dir_list: List of directories the cores have to be written.141 @param report: Whether reports are to be generated for those core files.142 """143 syslog.syslog("Writing core files to %s" % dir_list)144 for result_dir in dir_list:145 if not os.path.isdir(result_dir):146 os.makedirs(result_dir)147 core_path = os.path.join(result_dir, 'core')148 core_path = write_to_file(core_path, core_file, report=True)149if __name__ == "__main__":150 syslog.openlog('AutotestCrashHandler', 0, syslog.LOG_DAEMON)151 global crashed_pid, crash_time, uid, signal, hostname, exe152 try:153 full_functionality = False154 try:155 crashed_pid, crash_time, uid, signal, hostname, exe = sys.argv[1:]156 full_functionality = True157 except ValueError, e:158 # Probably due a kernel bug, we can't exactly map the parameters159 # passed to this script. So we have to reduce the functionality160 # of the script (just write the core at a fixed place).161 syslog.syslog("Unable to unpack parameters passed to the "162 "script. Operating with limited functionality.")163 crashed_pid, crash_time, uid, signal, hostname, exe = (None, None,164 None, None,165 None, None)166 if full_functionality:167 core_dir_name = 'crash.%s.%s' % (exe, crashed_pid)168 else:169 core_dir_name = 'core.%s' % generate_random_string(4)170 # Get the filtered results dir list171 results_dir_list = get_results_dir_list(crashed_pid, core_dir_name)172 # Write the core file to the appropriate directory173 # (we are piping it to this script)174 core_file = if (exe is not None) and (crashed_pid is not None):176 syslog.syslog("Application %s, PID %s crashed" % (exe, crashed_pid))177 write_cores(core_file, results_dir_list)178 except Exception, e:...

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...37 # force.38 r = distance.cdist(z_core, z, "euclidean")39 return rho_sph(r, 6)40 41def write_cores(sim_dir, idxs):42 file_name = path.join(sim_dir, "halos", "cores.dat")43 with open(file_name, "wb") as fp:44 fp.write(struct.pack("qqq", idxs.shape[0],45 idxs.shape[1], idxs.shape[2]))46 idxs = idxs.flatten()47 idxs = np.asarray(idxs, dtype=np.int32)48 idxs.tofile(fp)49def write_core_positions(sim_dir, x, v):50 file_name = path.join(sim_dir, "halos", "core_pos.dat")51 with open(file_name, "wb") as fp:52 fp.write(struct.pack("qq", x.shape[0], x.shape[1]))53 x, v = x.flatten(), v.flatten()54 x = np.asarray(x, dtype=np.float32)55 v = np.asarray(v, dtype=np.float32)56 x.tofile(fp)57 v.tofile(fp)58 59def core_position(idxs, x):60 return x[idxs[0]]61def core_velocity(idxs, v, scale):62 return np.sqrt(scale)*v[idxs[0]]63def track_cores_snap(info, sim_dir, snap, h, hist, infall_core_idxs,64 core_idxs, core_x, core_v):65 print("snap", snap)66 base_dir, suite, halo_name = find_infall_cores.parse_sim_dir(sim_dir) 67 param = symlib.parameter_table[suite]68 scale = symlib.scale_factors(sim_dir)69 owner_all = symlib.read_particles(info, sim_dir, snap, "ownership")70 valid_all = symlib.read_particles(info, sim_dir, snap, "valid")71 x_all = symlib.read_particles(info, sim_dir, snap, "x")72 v_all = symlib.read_particles(info, sim_dir, snap, "v")73 for sub_i in range(1, len(h)):74 if snap < hist["merger_snap"][sub_i]:75 continue76 elif snap == hist["merger_snap"][sub_i]:77 n_core = np.min(N_CORE_MAX)78 x, v = x_all[sub_i], v_all[sub_i]79 idx = infall_core_idxs[sub_i,:n_core]80 core_idxs[sub_i,snap,:n_core] = idx81 core_x[sub_i,snap,:] = core_position(idx, x)82 core_v[sub_i,snap,:] = core_velocity(idx, v, scale[snap])83 else:84 owner, valid = owner_all[sub_i], valid_all[sub_i]85 x, v = x_all[sub_i], v_all[sub_i]86 87 n_core = np.sum(core_idxs[sub_i,snap-1,:] >= 0)88 x_core = x[core_idxs[sub_i,snap-1,:n_core]]89 v_core = v[core_idxs[sub_i,snap-1,:n_core]]90 ok = valid & (owner == 0)91 92 idx = np.arange(len(x), dtype=int)[ok]93 rho = phase_space_density(x_core, v_core, x[ok], v[ok])94 95 top_n_idx = np.argpartition(rho, -n_core)[-n_core:]96 top_n_rho = rho[top_n_idx]97 top_n_order = np.argsort(top_n_rho)[::-1]98 idx = idx[top_n_idx[top_n_order]]99 core_idxs[sub_i,snap,:n_core] = idx100 core_x[sub_i,snap,:] = core_position(idx, x)101 core_v[sub_i,snap,:] = core_velocity(idx, v, scale[snap])102 103def track_cores(sim_dir):104 base_dir, suite, halo_name = find_infall_cores.parse_sim_dir(sim_dir)105 106 param = symlib.parameter_table[suite]107 scale = symlib.scale_factors(sim_dir)108 n_snap = len(scale)109 110 h, hist = symlib.read_subhalos(param, sim_dir)111 112 info = symlib.ParticleInfo(sim_dir)113 core_idxs = np.ones((len(h), n_snap, N_CORE_MAX), dtype=int)*-1114 core_x = np.zeros((len(h), n_snap, 3))115 core_v = np.zeros((len(h), n_snap, 3))116 117 infall_core_idxs = symlib.read_particles(info, sim_dir, 0, "infall_core")118 for snap in range(np.min(hist["merger_snap"][1:]), n_snap):119 track_cores_snap(info, sim_dir, snap, h, hist, infall_core_idxs,120 core_idxs, core_x, core_v)121 122 write_cores(sim_dir, core_idxs)123 write_core_positions(sim_dir, core_x, core_v)124def main():125 config_name, idx_str = sys.argv[1], sys.argv[2]126 target_idx = int(idx_str)127 sim_dirs = find_infall_cores.get_sim_dirs(config_name)128 129 for host_i in range(len(sim_dirs)):130 if host_i != target_idx and target_idx != -1: continue131 sim_dir = sim_dirs[host_i]132 if sim_dir[-1] == "/": sim_dir = sim_dir[:-1]133 track_cores(sim_dir)...

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