1
2
3
4
5
6
7
8
9
10
11
12
13
14
15 """A user friendly command line interface to access MadGraph5_aMC@NLO features.
16 Uses the cmd package for command interpretation and tab completion.
17 """
18 from __future__ import division
19
20 import atexit
21 import glob
22 import logging
23 import math
24 import optparse
25 import os
26 import pydoc
27 import random
28 import re
29 import shutil
30 import subprocess
31 import sys
32 import traceback
33 import time
34 import signal
35 import tarfile
36 import copy
37 import datetime
38 import tarfile
39 import traceback
40 import StringIO
41 try:
42 import cpickle as pickle
43 except:
44 import pickle
45
46 try:
47 import readline
48 GNU_SPLITTING = ('GNU' in readline.__doc__)
49 except:
50 GNU_SPLITTING = True
51
52 root_path = os.path.split(os.path.dirname(os.path.realpath( __file__ )))[0]
53 root_path = os.path.split(root_path)[0]
54 sys.path.insert(0, os.path.join(root_path,'bin'))
55
56
57 pjoin = os.path.join
58
59 logger = logging.getLogger('madgraph.stdout')
60 logger_stderr = logging.getLogger('madgraph.stderr')
61
62 try:
63 import madgraph
64 except ImportError:
65 aMCatNLO = True
66 import internal.extended_cmd as cmd
67 import internal.common_run_interface as common_run
68 import internal.banner as banner_mod
69 import internal.misc as misc
70 from internal import InvalidCmd, MadGraph5Error
71 import internal.files as files
72 import internal.cluster as cluster
73 import internal.save_load_object as save_load_object
74 import internal.gen_crossxhtml as gen_crossxhtml
75 import internal.sum_html as sum_html
76 import internal.shower_card as shower_card
77 import internal.FO_analyse_card as analyse_card
78 import internal.lhe_parser as lhe_parser
79 else:
80
81 aMCatNLO = False
82 import madgraph.interface.extended_cmd as cmd
83 import madgraph.interface.common_run_interface as common_run
84 import madgraph.iolibs.files as files
85 import madgraph.iolibs.save_load_object as save_load_object
86 import madgraph.madevent.gen_crossxhtml as gen_crossxhtml
87 import madgraph.madevent.sum_html as sum_html
88 import madgraph.various.banner as banner_mod
89 import madgraph.various.cluster as cluster
90 import madgraph.various.misc as misc
91 import madgraph.various.shower_card as shower_card
92 import madgraph.various.FO_analyse_card as analyse_card
93 import madgraph.various.lhe_parser as lhe_parser
94 from madgraph import InvalidCmd, aMCatNLOError, MadGraph5Error,MG5DIR
98
101 """compile the direcory p_dir
102 arguments is the tuple (me_dir, p_dir, mode, options, tests, exe, run_mode)
103 this function needs not to be a class method in order to do
104 the compilation on multicore"""
105
106 if len(arguments) == 1:
107 (me_dir, p_dir, mode, options, tests, exe, run_mode) = arguments[0]
108 elif len(arguments)==7:
109 (me_dir, p_dir, mode, options, tests, exe, run_mode) = arguments
110 else:
111 raise aMCatNLOError, 'not correct number of argument'
112 logger.info(' Compiling %s...' % p_dir)
113
114 this_dir = pjoin(me_dir, 'SubProcesses', p_dir)
115
116 try:
117
118
119 for test in tests:
120
121 if test == 'check_poles' and os.path.exists(pjoin(this_dir, 'parton_lum_0.f')):
122 continue
123 if test == 'test_ME' or test == 'test_MC':
124 test_exe='test_soft_col_limits'
125 else:
126 test_exe=test
127 misc.compile([test_exe], cwd = this_dir, job_specs = False)
128 input = pjoin(me_dir, '%s_input.txt' % test)
129
130 misc.call(['./%s' % (test_exe)], cwd=this_dir,
131 stdin = open(input), stdout=open(pjoin(this_dir, '%s.log' % test), 'w'),
132 close_fds=True)
133 if test == 'check_poles' and os.path.exists(pjoin(this_dir,'MadLoop5_resources')) :
134 tf=tarfile.open(pjoin(this_dir,'MadLoop5_resources.tar.gz'),'w:gz',
135 dereference=True)
136 tf.add(pjoin(this_dir,'MadLoop5_resources'),arcname='MadLoop5_resources')
137 tf.close()
138
139 if not options['reweightonly']:
140 misc.compile(['gensym'], cwd=this_dir, job_specs = False)
141 misc.call(['./gensym'],cwd= this_dir,
142 stdout=open(pjoin(this_dir, 'gensym.log'), 'w'),
143 close_fds=True)
144
145 misc.compile([exe], cwd=this_dir, job_specs = False)
146 if mode in ['aMC@NLO', 'aMC@LO', 'noshower', 'noshowerLO']:
147 misc.compile(['reweight_xsec_events'], cwd=this_dir, job_specs = False)
148
149 logger.info(' %s done.' % p_dir)
150 return 0
151 except MadGraph5Error, msg:
152 return msg
153
156 """check that the current fortran compiler is gfortran 4.6 or later.
157 If block, stops the execution, otherwise just print a warning"""
158
159 msg = 'In order to be able to run at NLO MadGraph5_aMC@NLO, you need to have ' + \
160 'gfortran 4.6 or later installed.\n%s has been detected\n'+\
161 'Note that You can still run all MadEvent run without any problem!'
162
163 if options['fortran_compiler']:
164 compiler = options['fortran_compiler']
165 elif misc.which('gfortran'):
166 compiler = 'gfortran'
167 else:
168 compiler = ''
169
170 if 'gfortran' not in compiler:
171 if block:
172 raise aMCatNLOError(msg % compiler)
173 else:
174 logger.warning(msg % compiler)
175 else:
176 curr_version = misc.get_gfortran_version(compiler)
177 if not ''.join(curr_version.split('.')) >= '46':
178 if block:
179 raise aMCatNLOError(msg % (compiler + ' ' + curr_version))
180 else:
181 logger.warning(msg % (compiler + ' ' + curr_version))
182
183
184
185
186
187
188 -class CmdExtended(common_run.CommonRunCmd):
189 """Particularisation of the cmd command for aMCatNLO"""
190
191
192 next_possibility = {
193 'start': [],
194 }
195
196 debug_output = 'ME5_debug'
197 error_debug = 'Please report this bug on https://bugs.launchpad.net/mg5amcnlo\n'
198 error_debug += 'More information is found in \'%(debug)s\'.\n'
199 error_debug += 'Please attach this file to your report.'
200
201 config_debug = 'If you need help with this issue please contact us on https://answers.launchpad.net/mg5amcnlo\n'
202
203
204 keyboard_stop_msg = """stopping all operation
205 in order to quit MadGraph5_aMC@NLO please enter exit"""
206
207
208 InvalidCmd = InvalidCmd
209 ConfigurationError = aMCatNLOError
210
211 - def __init__(self, me_dir, options, *arg, **opt):
212 """Init history and line continuation"""
213
214
215 self.force = False
216
217
218
219 info = misc.get_pkg_info()
220 info_line = ""
221 if info and info.has_key('version') and info.has_key('date'):
222 len_version = len(info['version'])
223 len_date = len(info['date'])
224 if len_version + len_date < 30:
225 info_line = "#* VERSION %s %s %s *\n" % \
226 (info['version'],
227 (30 - len_version - len_date) * ' ',
228 info['date'])
229 else:
230 version = open(pjoin(root_path,'MGMEVersion.txt')).readline().strip()
231 info_line = "#* VERSION %s %s *\n" % \
232 (version, (24 - len(version)) * ' ')
233
234
235
236 self.history_header = \
237 '#************************************************************\n' + \
238 '#* MadGraph5_aMC@NLO *\n' + \
239 '#* *\n' + \
240 "#* * * *\n" + \
241 "#* * * * * *\n" + \
242 "#* * * * * 5 * * * * *\n" + \
243 "#* * * * * *\n" + \
244 "#* * * *\n" + \
245 "#* *\n" + \
246 "#* *\n" + \
247 info_line + \
248 "#* *\n" + \
249 "#* The MadGraph5_aMC@NLO Development Team - Find us at *\n" + \
250 "#* https://server06.fynu.ucl.ac.be/projects/madgraph *\n" + \
251 "#* and *\n" + \
252 "#* http://amcatnlo.cern.ch *\n" + \
253 '#* *\n' + \
254 '#************************************************************\n' + \
255 '#* *\n' + \
256 '#* Command File for aMCatNLO *\n' + \
257 '#* *\n' + \
258 '#* run as ./bin/aMCatNLO.py filename *\n' + \
259 '#* *\n' + \
260 '#************************************************************\n'
261
262 if info_line:
263 info_line = info_line[1:]
264
265 logger.info(\
266 "************************************************************\n" + \
267 "* *\n" + \
268 "* W E L C O M E to M A D G R A P H 5 *\n" + \
269 "* a M C @ N L O *\n" + \
270 "* *\n" + \
271 "* * * *\n" + \
272 "* * * * * *\n" + \
273 "* * * * * 5 * * * * *\n" + \
274 "* * * * * *\n" + \
275 "* * * *\n" + \
276 "* *\n" + \
277 info_line + \
278 "* *\n" + \
279 "* The MadGraph5_aMC@NLO Development Team - Find us at *\n" + \
280 "* http://amcatnlo.cern.ch *\n" + \
281 "* *\n" + \
282 "* Type 'help' for in-line help. *\n" + \
283 "* *\n" + \
284 "************************************************************")
285 super(CmdExtended, self).__init__(me_dir, options, *arg, **opt)
286
287
289 """return the history header"""
290 return self.history_header % misc.get_time_info()
291
293 """action to perform to close nicely on a keyboard interupt"""
294 try:
295 if hasattr(self, 'cluster'):
296 logger.info('rm jobs on queue')
297 self.cluster.remove()
298 if hasattr(self, 'results'):
299 self.update_status('Stop by the user', level=None, makehtml=True, error=True)
300 self.add_error_log_in_html(KeyboardInterrupt)
301 except:
302 pass
303
304 - def postcmd(self, stop, line):
305 """ Update the status of the run for finishing interactive command """
306
307
308 self.force = False
309
310 if not self.use_rawinput:
311 return stop
312
313
314 arg = line.split()
315 if len(arg) == 0:
316 return stop
317 elif str(arg[0]) in ['exit','quit','EOF']:
318 return stop
319
320 try:
321 self.update_status('Command \'%s\' done.<br> Waiting for instruction.' % arg[0],
322 level=None, error=True)
323 except Exception:
324 misc.sprint('self.update_status fails', log=logger)
325 pass
326
332
338
344
351 """ The Series of help routine for the aMCatNLOCmd"""
352
356
358 logger.info("syntax: banner_run Path|RUN [--run_options]")
359 logger.info("-- Reproduce a run following a given banner")
360 logger.info(" One of the following argument is require:")
361 logger.info(" Path should be the path of a valid banner.")
362 logger.info(" RUN should be the name of a run of the current directory")
363 self.run_options_help([('-f','answer all question by default'),
364 ('--name=X', 'Define the name associated with the new run')])
365
366
370
375
376
380
384
385
387 logger.info("syntax: open FILE ")
388 logger.info("-- open a file with the appropriate editor.")
389 logger.info(' If FILE belongs to index.html, param_card.dat, run_card.dat')
390 logger.info(' the path to the last created/used directory is used')
391
393 if data:
394 logger.info('-- local options:')
395 for name, info in data:
396 logger.info(' %s : %s' % (name, info))
397
398 logger.info("-- session options:")
399 logger.info(" Note that those options will be kept for the current session")
400 logger.info(" --cluster : Submit to the cluster. Current cluster: %s" % self.options['cluster_type'])
401 logger.info(" --multicore : Run in multi-core configuration")
402 logger.info(" --nb_core=X : limit the number of core to use to X.")
403
411 """ The Series of check routine for the aMCatNLOCmd"""
412
414 """Check the validity of the line. args[0] is the run_directory"""
415
416 if options['force']:
417 self.force = True
418
419 if len(args) == 0:
420 self.help_shower()
421 raise self.InvalidCmd, 'Invalid syntax, please specify the run name'
422 if not os.path.isdir(pjoin(self.me_dir, 'Events', args[0])):
423 raise self.InvalidCmd, 'Directory %s does not exists' % \
424 pjoin(os.getcwd(), 'Events', args[0])
425
426 self.set_run_name(args[0], level= 'shower')
427 args[0] = pjoin(self.me_dir, 'Events', args[0])
428
430 """Check the argument for the plot command
431 plot run_name modes"""
432
433
434 madir = self.options['madanalysis_path']
435 td = self.options['td_path']
436
437 if not madir or not td:
438 logger.info('Retry to read configuration file to find madanalysis/td')
439 self.set_configuration()
440
441 madir = self.options['madanalysis_path']
442 td = self.options['td_path']
443
444 if not madir:
445 error_msg = 'No Madanalysis path correctly set.'
446 error_msg += 'Please use the set command to define the path and retry.'
447 error_msg += 'You can also define it in the configuration file.'
448 raise self.InvalidCmd(error_msg)
449 if not td:
450 error_msg = 'No path to td directory correctly set.'
451 error_msg += 'Please use the set command to define the path and retry.'
452 error_msg += 'You can also define it in the configuration file.'
453 raise self.InvalidCmd(error_msg)
454
455 if len(args) == 0:
456 if not hasattr(self, 'run_name') or not self.run_name:
457 self.help_plot()
458 raise self.InvalidCmd('No run name currently define. Please add this information.')
459 args.append('all')
460 return
461
462
463 if args[0] not in self._plot_mode:
464 self.set_run_name(args[0], level='plot')
465 del args[0]
466 if len(args) == 0:
467 args.append('all')
468 elif not self.run_name:
469 self.help_plot()
470 raise self.InvalidCmd('No run name currently define. Please add this information.')
471
472 for arg in args:
473 if arg not in self._plot_mode and arg != self.run_name:
474 self.help_plot()
475 raise self.InvalidCmd('unknown options %s' % arg)
476
478 """Check the argument for pythia command
479 syntax: pgs [NAME]
480 Note that other option are already remove at this point
481 """
482
483
484 if not self.options['pythia-pgs_path']:
485 logger.info('Retry to read configuration file to find pythia-pgs path')
486 self.set_configuration()
487
488 if not self.options['pythia-pgs_path'] or not \
489 os.path.exists(pjoin(self.options['pythia-pgs_path'],'src')):
490 error_msg = 'No pythia-pgs path correctly set.'
491 error_msg += 'Please use the set command to define the path and retry.'
492 error_msg += 'You can also define it in the configuration file.'
493 raise self.InvalidCmd(error_msg)
494
495 tag = [a for a in arg if a.startswith('--tag=')]
496 if tag:
497 arg.remove(tag[0])
498 tag = tag[0][6:]
499
500
501 if len(arg) == 0 and not self.run_name:
502 if self.results.lastrun:
503 arg.insert(0, self.results.lastrun)
504 else:
505 raise self.InvalidCmd('No run name currently define. Please add this information.')
506
507 if len(arg) == 1 and self.run_name == arg[0]:
508 arg.pop(0)
509
510 if not len(arg) and \
511 not os.path.exists(pjoin(self.me_dir,'Events','pythia_events.hep')):
512 self.help_pgs()
513 raise self.InvalidCmd('''No file file pythia_events.hep currently available
514 Please specify a valid run_name''')
515
516 lock = None
517 if len(arg) == 1:
518 prev_tag = self.set_run_name(arg[0], tag, 'pgs')
519 filenames = misc.glob('events_*.hep.gz', pjoin(self.me_dir, 'Events', self.run_name))
520
521 if not filenames:
522 raise self.InvalidCmd('No events file corresponding to %s run with tag %s. '% (self.run_name, prev_tag))
523 else:
524 input_file = filenames[0]
525 output_file = pjoin(self.me_dir, 'Events', 'pythia_events.hep')
526 lock = cluster.asyncrone_launch('gunzip',stdout=open(output_file,'w'),
527 argument=['-c', input_file],
528 close_fds=True)
529 else:
530 if tag:
531 self.run_card['run_tag'] = tag
532 self.set_run_name(self.run_name, tag, 'pgs')
533
534 return lock
535
536
538 """Check the argument for pythia command
539 syntax: delphes [NAME]
540 Note that other option are already remove at this point
541 """
542
543
544 if not self.options['delphes_path']:
545 logger.info('Retry to read configuration file to find delphes path')
546 self.set_configuration()
547
548 if not self.options['delphes_path']:
549 error_msg = 'No delphes path correctly set.'
550 error_msg += 'Please use the set command to define the path and retry.'
551 error_msg += 'You can also define it in the configuration file.'
552 raise self.InvalidCmd(error_msg)
553
554 tag = [a for a in arg if a.startswith('--tag=')]
555 if tag:
556 arg.remove(tag[0])
557 tag = tag[0][6:]
558
559
560 if len(arg) == 0 and not self.run_name:
561 if self.results.lastrun:
562 arg.insert(0, self.results.lastrun)
563 else:
564 raise self.InvalidCmd('No run name currently define. Please add this information.')
565
566 if len(arg) == 1 and self.run_name == arg[0]:
567 arg.pop(0)
568
569 if not len(arg) and \
570 not os.path.exists(pjoin(self.me_dir,'Events','pythia_events.hep')):
571 self.help_pgs()
572 raise self.InvalidCmd('''No file file pythia_events.hep currently available
573 Please specify a valid run_name''')
574
575 if len(arg) == 1:
576 prev_tag = self.set_run_name(arg[0], tag, 'delphes')
577 filenames = misc.glob('events_*.hep.gz', pjoin(self.me_dir, 'Events'))
578
579
580 if not filenames:
581 raise self.InvalidCmd('No events file corresponding to %s run with tag %s.:%s '\
582 % (self.run_name, prev_tag,
583 pjoin(self.me_dir,'Events',self.run_name, '%s_pythia_events.hep.gz' % prev_tag)))
584 else:
585 input_file = filenames[0]
586 output_file = pjoin(self.me_dir, 'Events', 'pythia_events.hep')
587 lock = cluster.asyncrone_launch('gunzip',stdout=open(output_file,'w'),
588 argument=['-c', input_file],
589 close_fds=True)
590 else:
591 if tag:
592 self.run_card['run_tag'] = tag
593 self.set_run_name(self.run_name, tag, 'delphes')
594
596 """check the validity of the line. args is ORDER,
597 ORDER being LO or NLO. If no mode is passed, NLO is used"""
598
599
600
601 if options['force']:
602 self.force = True
603
604 if not args:
605 args.append('NLO')
606 return
607
608 if len(args) > 1:
609 self.help_calculate_xsect()
610 raise self.InvalidCmd, 'Invalid Syntax: Too many argument'
611
612 elif len(args) == 1:
613 if not args[0] in ['NLO', 'LO']:
614 raise self.InvalidCmd, '%s is not a valid mode, please use "LO" or "NLO"' % args[1]
615 mode = args[0]
616
617
618 if options['multicore'] and options['cluster']:
619 raise self.InvalidCmd, 'options -m (--multicore) and -c (--cluster)' + \
620 ' are not compatible. Please choose one.'
621
622
624 """check the validity of the line. args is ORDER,
625 ORDER being LO or NLO. If no mode is passed, NLO is used"""
626
627
628
629 if not args:
630 args.append('NLO')
631 return
632
633 if len(args) > 1:
634 self.help_generate_events()
635 raise self.InvalidCmd, 'Invalid Syntax: Too many argument'
636
637 elif len(args) == 1:
638 if not args[0] in ['NLO', 'LO']:
639 raise self.InvalidCmd, '%s is not a valid mode, please use "LO" or "NLO"' % args[1]
640 mode = args[0]
641
642
643 if options['multicore'] and options['cluster']:
644 raise self.InvalidCmd, 'options -m (--multicore) and -c (--cluster)' + \
645 ' are not compatible. Please choose one.'
646
648 """check the validity of line"""
649
650 if len(args) == 0:
651 self.help_banner_run()
652 raise self.InvalidCmd('banner_run requires at least one argument.')
653
654 tag = [a[6:] for a in args if a.startswith('--tag=')]
655
656
657 if os.path.exists(args[0]):
658 type ='banner'
659 format = self.detect_card_type(args[0])
660 if format != 'banner':
661 raise self.InvalidCmd('The file is not a valid banner.')
662 elif tag:
663 args[0] = pjoin(self.me_dir,'Events', args[0], '%s_%s_banner.txt' % \
664 (args[0], tag))
665 if not os.path.exists(args[0]):
666 raise self.InvalidCmd('No banner associates to this name and tag.')
667 else:
668 name = args[0]
669 type = 'run'
670 banners = misc.glob('*_banner.txt', pjoin(self.me_dir,'Events', args[0]))
671 if not banners:
672 raise self.InvalidCmd('No banner associates to this name.')
673 elif len(banners) == 1:
674 args[0] = banners[0]
675 else:
676
677 tags = [os.path.basename(p)[len(args[0])+1:-11] for p in banners]
678 tag = self.ask('which tag do you want to use?', tags[0], tags)
679 args[0] = pjoin(self.me_dir,'Events', args[0], '%s_%s_banner.txt' % \
680 (args[0], tag))
681
682 run_name = [arg[7:] for arg in args if arg.startswith('--name=')]
683 if run_name:
684 try:
685 self.exec_cmd('remove %s all banner -f' % run_name)
686 except Exception:
687 pass
688 self.set_run_name(args[0], tag=None, level='parton', reload_card=True)
689 elif type == 'banner':
690 self.set_run_name(self.find_available_run_name(self.me_dir))
691 elif type == 'run':
692 if not self.results[name].is_empty():
693 run_name = self.find_available_run_name(self.me_dir)
694 logger.info('Run %s is not empty so will use run_name: %s' % \
695 (name, run_name))
696 self.set_run_name(run_name)
697 else:
698 try:
699 self.exec_cmd('remove %s all banner -f' % run_name)
700 except Exception:
701 pass
702 self.set_run_name(name)
703
704
705
707 """check the validity of the line. args is MODE
708 MODE being LO, NLO, aMC@NLO or aMC@LO. If no mode is passed, auto is used"""
709
710
711
712 if options['force']:
713 self.force = True
714
715
716 if not args:
717 args.append('auto')
718 return
719
720 if len(args) > 1:
721 self.help_launch()
722 raise self.InvalidCmd, 'Invalid Syntax: Too many argument'
723
724 elif len(args) == 1:
725 if not args[0] in ['LO', 'NLO', 'aMC@NLO', 'aMC@LO','auto']:
726 raise self.InvalidCmd, '%s is not a valid mode, please use "LO", "NLO", "aMC@NLO" or "aMC@LO"' % args[0]
727 mode = args[0]
728
729
730 if options['multicore'] and options['cluster']:
731 raise self.InvalidCmd, 'options -m (--multicore) and -c (--cluster)' + \
732 ' are not compatible. Please choose one.'
733 if mode == 'NLO' and options['reweightonly']:
734 raise self.InvalidCmd, 'option -r (--reweightonly) needs mode "aMC@NLO" or "aMC@LO"'
735
736
738 """check the validity of the line. args is MODE
739 MODE being FO or MC. If no mode is passed, MC is used"""
740
741
742
743 if options['force']:
744 self.force = True
745
746 if not args:
747 args.append('MC')
748 return
749
750 if len(args) > 1:
751 self.help_compile()
752 raise self.InvalidCmd, 'Invalid Syntax: Too many argument'
753
754 elif len(args) == 1:
755 if not args[0] in ['MC', 'FO']:
756 raise self.InvalidCmd, '%s is not a valid mode, please use "FO" or "MC"' % args[0]
757 mode = args[0]
758
766 """ The Series of help routine for the MadGraphCmd"""
767
769 """auto-completion for launch command"""
770
771 args = self.split_arg(line[0:begidx])
772 if len(args) == 1:
773
774 return self.list_completion(text,['LO','NLO','aMC@NLO','aMC@LO'],line)
775 elif len(args) == 2 and line[begidx-1] == '@':
776 return self.list_completion(text,['LO','NLO'],line)
777 else:
778 opts = []
779 for opt in _launch_parser.option_list:
780 opts += opt._long_opts + opt._short_opts
781 return self.list_completion(text, opts, line)
782
784 "Complete the banner run command"
785 try:
786
787
788 args = self.split_arg(line[0:begidx], error=False)
789
790 if args[-1].endswith(os.path.sep):
791 return self.path_completion(text,
792 os.path.join('.',*[a for a in args \
793 if a.endswith(os.path.sep)]))
794
795
796 if len(args) > 1:
797
798 tags = misc.glob('%s_*_banner.txt' % args[1],pjoin(self.me_dir, 'Events' , args[1]))
799 tags = ['%s' % os.path.basename(t)[len(args[1])+1:-11] for t in tags]
800
801 if args[-1] != '--tag=':
802 tags = ['--tag=%s' % t for t in tags]
803 else:
804 return self.list_completion(text, tags)
805 return self.list_completion(text, tags +['--name=','-f'], line)
806
807
808 possibilites = {}
809
810 comp = self.path_completion(text, os.path.join('.',*[a for a in args \
811 if a.endswith(os.path.sep)]))
812 if os.path.sep in line:
813 return comp
814 else:
815 possibilites['Path from ./'] = comp
816
817 run_list = misc.glob(pjoin('*','*_banner.txt'), pjoin(self.me_dir, 'Events'))
818 run_list = [n.rsplit('/',2)[1] for n in run_list]
819 possibilites['RUN Name'] = self.list_completion(text, run_list)
820
821 return self.deal_multiple_categories(possibilites, formatting)
822
823
824 except Exception, error:
825 print error
826
827
840
853
855 """auto-completion for generate_events command
856 call the compeltion for launch"""
857 self.complete_launch(text, line, begidx, endidx)
858
859
869
885
887 "Complete the pgs command"
888 args = self.split_arg(line[0:begidx], error=False)
889 if len(args) == 1:
890
891 data = misc.glob(pjoin('*', 'events_*.hep.gz'),
892 pjoin(self.me_dir, 'Events'))
893 data = [n.rsplit('/',2)[1] for n in data]
894 tmp1 = self.list_completion(text, data)
895 if not self.run_name:
896 return tmp1
897 else:
898 tmp2 = self.list_completion(text, self._run_options + ['-f',
899 '--tag=' ,'--no_default'], line)
900 return tmp1 + tmp2
901 else:
902 return self.list_completion(text, self._run_options + ['-f',
903 '--tag=','--no_default'], line)
904
905 complete_delphes = complete_pgs
906
909
911
912 to_control = [('order', 'Type of perturbative computation'),
913 ('fixed_order', 'No MC@[N]LO matching / event generation'),
914 ('shower', 'Shower the generated events'),
915 ('madspin', 'Decay onshell particles'),
916 ('reweight', 'Add weights to events for new hypp.'),
917 ('madanalysis','Run MadAnalysis5 on the events generated')]
918
919 quit_on = cmd.ControlSwitch.quit_on + ['onlyshower']
920
921 - def __init__(self, question, line_args=[], mode=None, force=False,
922 *args, **opt):
923
924 self.check_available_module(opt['mother_interface'].options)
925 self.me_dir = opt['mother_interface'].me_dir
926 self.last_mode = opt['mother_interface'].last_mode
927 self.proc_characteristics = opt['mother_interface'].proc_characteristics
928 self.run_card = banner_mod.RunCard(pjoin(self.me_dir,'Cards', 'run_card.dat'))
929 super(AskRunNLO,self).__init__(self.to_control, opt['mother_interface'],
930 *args, **opt)
931
932 @property
934
935 out = super(AskRunNLO, self).answer
936 if out['shower'] == 'HERWIG7':
937 out['shower'] = 'HERWIGPP'
938
939 if out['shower'] not in self.get_allowed('shower') or out['shower'] =='OFF':
940 out['runshower'] = False
941 else:
942 out['runshower'] = True
943 return out
944
945
947
948 self.available_module = set()
949 if options['madanalysis5_path']:
950 self.available_module.add('MA5')
951 if not aMCatNLO or ('mg5_path' in options and options['mg5_path']):
952
953 self.available_module.add('MadSpin')
954 if misc.has_f2py() or options['f2py_compiler']:
955 self.available_module.add('reweight')
956 if options['pythia8_path']:
957 self.available_module.add('PY8')
958 if options['hwpp_path'] and options['thepeg_path'] and options['hepmc_path']:
959 self.available_module.add('HW7')
960
961
962
964 """ function called if the user type lo=value. or lo (then value is None)"""
965
966 if value is None:
967 self.switch['order'] = 'LO'
968 self.switch['fixed_order'] = 'ON'
969 self.set_switch('shower', 'OFF')
970 else:
971 logger.warning('Invalid command: lo=%s' % value)
972
974 if value is None:
975 self.switch['order'] = 'NLO'
976 self.switch['fixed_order'] = 'ON'
977 self.set_switch('shower', 'OFF')
978 else:
979 logger.warning('Invalid command: nlo=%s' % value)
980
982 if value is None:
983 self.switch['order'] = 'NLO'
984 self.switch['fixed_order'] = 'OFF'
985 self.set_switch('shower', 'ON')
986 else:
987 logger.warning('Invalid command: aMC@NLO=%s' % value)
988
990 if value is None:
991 self.switch['order'] = 'LO'
992 self.switch['fixed_order'] = 'OFF'
993 self.set_switch('shower', 'ON')
994 else:
995 logger.warning('Invalid command: aMC@LO=%s' % value)
996
998 if value is None:
999 self.switch['order'] = 'NLO'
1000 self.switch['fixed_order'] = 'OFF'
1001 self.set_switch('shower', 'OFF')
1002 else:
1003 logger.warning('Invalid command: noshower=%s' % value)
1004
1006 if value is None:
1007 self.switch['mode'] = 'onlyshower'
1008 self.switch['madspin'] = 'OFF'
1009 self.switch['reweight'] = 'OFF'
1010 else:
1011 logger.warning('Invalid command: onlyshower=%s' % value)
1012
1014 if value is None:
1015 self.switch['order'] = 'LO'
1016 self.switch['fixed_order'] = 'OFF'
1017 self.set_switch('shower', 'OFF')
1018 else:
1019 logger.warning('Invalid command: noshowerlo=%s' % value)
1020
1022 """ shortcut madanalysis5 -> madanalysis """
1023
1024 if value is None:
1025 return self.onecmd('madanalysis')
1026 else:
1027 self.set_switch('madanalysis', value)
1028
1029
1030
1032 return ["LO", "NLO"]
1033
1035
1036 if self.last_mode in ['LO', 'aMC@L0', 'noshowerLO']:
1037 self.switch['order'] = 'LO'
1038 self.switch['order'] = 'NLO'
1039
1042
1043
1044
1046 """ """
1047 if self.proc_characteristics['ninitial'] == 1:
1048 return ['ON']
1049 else:
1050 return ['ON', 'OFF']
1051
1053
1054 if self.last_mode in ['LO', 'NLO']:
1055 self.switch['fixed_order'] = 'ON'
1056 if self.proc_characteristics['ninitial'] == 1:
1057 self.switch['fixed_order'] = 'ON'
1058 else:
1059 self.switch['fixed_order'] = 'OFF'
1060
1062
1063 if switch_value in ['OFF']:
1064 return self.green % switch_value
1065 else:
1066 return self.red % switch_value
1067
1069
1070 if switch_value in ['ON']:
1071 return self.green % switch_value
1072 elif switch_value in self.get_allowed('shower'):
1073 return self.green % switch_value
1074 else:
1075 return self.red % switch_value
1076
1078 """ consistency_XX_YY(val_XX, val_YY)
1079 -> XX is the new key set by the user to a new value val_XX
1080 -> YY is another key set by the user.
1081 -> return value should be None or "replace_YY"
1082 """
1083
1084 if vfix == 'ON' and vshower != 'OFF' :
1085 return 'OFF'
1086 return None
1087
1088 consistency_fixed_order_madspin = consistency_fixed_order_shower
1089 consistency_fixed_order_reweight = consistency_fixed_order_shower
1090
1092
1093 if vfix == 'ON' and vma5 == 'ON' :
1094 return 'OFF'
1095 return None
1096
1097
1099 """ consistency_XX_YY(val_XX, val_YY)
1100 -> XX is the new key set by the user to a new value val_XX
1101 -> YY is another key set by the user.
1102 -> return value should be None or "replace_YY"
1103 """
1104
1105 if vshower != 'OFF' and vfix == 'ON':
1106 return 'OFF'
1107 return None
1108
1109 consistency_madspin_fixed_order = consistency_shower_fixed_order
1110 consistency_reweight_fixed_order = consistency_shower_fixed_order
1111 consistency_madanalysis_fixed_order = consistency_shower_fixed_order
1112
1113
1114
1115
1116
1118 """ """
1119
1120 if hasattr(self, 'allowed_shower'):
1121 return self.allowed_shower
1122
1123 if not misc.which('bc'):
1124 return ['OFF']
1125
1126 if self.proc_characteristics['ninitial'] == 1:
1127 self.allowed_shower = ['OFF']
1128 return ['OFF']
1129 else:
1130 allowed = ['HERWIG6','OFF', 'PYTHIA6Q', 'PYTHIA6PT', ]
1131 if 'PY8' in self.available_module:
1132 allowed.append('PYTHIA8')
1133 if 'HW7' in self.available_module:
1134 allowed.append('HERWIGPP')
1135
1136 self.allowed_shower = allowed
1137
1138 return allowed
1139
1141 """ """
1142
1143 if value.upper() in self.get_allowed_shower():
1144 return True
1145 if value.upper() in ['PYTHIA8', 'HERWIGPP']:
1146 return True
1147 if value.upper() == 'ON':
1148 return self.run_card['parton_shower']
1149 if value.upper() in ['P8','PY8','PYTHIA_8']:
1150 return 'PYTHIA8'
1151 if value.upper() in ['PY6','P6','PY6PT', 'PYTHIA_6', 'PYTHIA_6PT','PYTHIA6PT','PYTHIA6_PT']:
1152 return 'PYTHIA6PT'
1153 if value.upper() in ['PY6Q', 'PYTHIA_6Q','PYTHIA6Q', 'PYTHIA6_Q']:
1154 return 'PYTHIA6Q'
1155 if value.upper() in ['HW7', 'HERWIG7']:
1156 return 'HERWIG7'
1157 if value.upper() in ['HW++', 'HWPP', 'HERWIG++']:
1158 return 'HERWIGPP'
1159 if value.upper() in ['HW6', 'HERWIG_6']:
1160 return 'HERWIG6'
1161
1163
1164 if self.last_mode in ['LO', 'NLO', 'noshower', 'noshowerLO']:
1165 self.switch['shower'] = 'OFF'
1166 return
1167
1168 if self.proc_characteristics['ninitial'] == 1:
1169 self.switch['shower'] = 'OFF'
1170 return
1171
1172 if not misc.which('bc'):
1173 logger.warning('bc command not available. Forbids to run the shower. please install it if you want to run the shower. (sudo apt-get install bc)')
1174 self.switch['shower'] = 'OFF'
1175 return
1176
1177 if os.path.exists(pjoin(self.me_dir, 'Cards', 'shower_card.dat')):
1178 self.switch['shower'] = self.run_card['parton_shower']
1179
1180 self.switch['fixed_order'] = "OFF"
1181 else:
1182 self.switch['shower'] = 'OFF'
1183
1185 """ MA5 only possible with (N)LO+PS if shower is run"""
1186
1187 if vshower == 'OFF' and vma5 == 'ON':
1188 return 'OFF'
1189 return None
1190
1192
1193 if vma5=='ON' and vshower == 'OFF':
1194 return 'ON'
1195 return None
1196
1198 """ adpat run_card according to this setup. return list of cmd to run"""
1199
1200 if value != 'OFF':
1201 return ['set parton_shower %s' % self.switch['shower']]
1202 return []
1203
1204
1205
1206
1208 """ """
1209
1210 if hasattr(self, 'allowed_madspin'):
1211 return self.allowed_madspin
1212
1213 self.allowed_madspin = []
1214
1215
1216 if 'MadSpin' not in self.available_module:
1217 return self.allowed_madspin
1218 if self.proc_characteristics['ninitial'] == 1:
1219 self.available_module.remove('MadSpin')
1220 self.allowed_madspin = ['OFF']
1221 return self.allowed_madspin
1222 else:
1223 self.allowed_madspin = ['OFF', 'ON', 'onshell']
1224 return self.allowed_madspin
1225
1227 """handle alias and valid option not present in get_allowed_madspin
1228 remember that this mode should always be OFF for 1>N. (ON not in allowed value)"""
1229
1230 if value.upper() in self.get_allowed_madspin():
1231 if value == value.upper():
1232 return True
1233 else:
1234 return value.upper()
1235 elif value.lower() in self.get_allowed_madspin():
1236 if value == value.lower():
1237 return True
1238 else:
1239 return value.lower()
1240
1241 if 'MadSpin' not in self.available_module or \
1242 'ON' not in self.get_allowed_madspin():
1243 return False
1244
1245 if value.lower() in ['madspin', 'full']:
1246 return 'full'
1247 elif value.lower() in ['none']:
1248 return 'none'
1249
1251
1252 if 'MadSpin' in self.available_module:
1253 if os.path.exists(pjoin(self.me_dir,'Cards','madspin_card.dat')):
1254 self.switch['madspin'] = 'ON'
1255 else:
1256 self.switch['madspin'] = 'OFF'
1257 else:
1258 self.switch['madspin'] = 'Not Avail.'
1259
1261 """set some command to run before allowing the user to modify the cards."""
1262
1263 if value == 'onshell':
1264 return ["edit madspin_card --replace_line='set spinmode' --before_line='decay' set spinmode onshell"]
1265 elif value in ['full', 'madspin']:
1266 return ["edit madspin_card --replace_line='set spinmode' --before_line='decay' set spinmode madspin"]
1267 elif value == 'none':
1268 return ["edit madspin_card --replace_line='set spinmode' --before_line='decay' set spinmode none"]
1269 else:
1270 return []
1271
1272
1273
1274
1276 """set the valid (visible) options for reweight"""
1277
1278 if hasattr(self, 'allowed_reweight'):
1279 return getattr(self, 'allowed_reweight')
1280
1281 self.allowed_reweight = []
1282 if 'reweight' not in self.available_module:
1283 return self.allowed_reweight
1284 if self.proc_characteristics['ninitial'] == 1:
1285 self.available_module.remove('reweight')
1286 self.allowed_reweight.append('OFF')
1287 return self.allowed_reweight
1288 else:
1289 self.allowed_reweight = [ 'OFF', 'ON', 'NLO', 'NLO_TREE','LO']
1290 return self.allowed_reweight
1291
1293 """initialise the switch for reweight"""
1294
1295 if 'reweight' in self.available_module:
1296 if os.path.exists(pjoin(self.me_dir,'Cards','reweight_card.dat')):
1297 self.switch['reweight'] = 'ON'
1298 else:
1299 self.switch['reweight'] = 'OFF'
1300 else:
1301 self.switch['reweight'] = 'Not Avail.'
1302
1304 """ adpat run_card according to this setup. return list of cmd to run"""
1305
1306 if value == 'LO':
1307 return ["edit reweight_card --replace_line='change mode' --before_line='launch' change mode LO"]
1308 elif value == 'NLO':
1309 return ["edit reweight_card --replace_line='change mode' --before_line='launch' change mode NLO",
1310 "set store_rwgt_info T"]
1311 elif value == 'NLO_TREE':
1312 return ["edit reweight_card --replace_line='change mode' --before_line='launch' change mode NLO_tree",
1313 "set store_rwgt_info T"]
1314 return []
1315
1316
1317
1318
1320
1321 if hasattr(self, 'allowed_madanalysis'):
1322 return self.allowed_madanalysis
1323
1324 self.allowed_madanalysis = []
1325
1326
1327 if 'MA5' not in self.available_module:
1328 return self.allowed_madanalysis
1329
1330 if self.proc_characteristics['ninitial'] == 1:
1331 self.available_module.remove('MA5')
1332 self.allowed_madanalysis = ['OFF']
1333 return self.allowed_madanalysis
1334 else:
1335 self.allowed_madanalysis = ['OFF', 'ON']
1336 return self.allowed_madanalysis
1337
1339 """initialise the switch for reweight"""
1340
1341 if 'MA5' not in self.available_module:
1342 self.switch['madanalysis'] = 'Not Avail.'
1343 elif os.path.exists(pjoin(self.me_dir,'Cards', 'madanalysis5_hadron_card.dat')):
1344 self.switch['madanalysis'] = 'ON'
1345 else:
1346 self.switch['madanalysis'] = 'OFF'
1347
1349 """check an entry is valid. return the valid entry in case of shortcut"""
1350
1351 if value.upper() in self.get_allowed('madanalysis'):
1352 return True
1353 value = value.lower()
1354 if value == 'hadron':
1355 return 'ON' if 'ON' in self.get_allowed_madanalysis5 else False
1356 else:
1357 return False
1358
1359
1360
1361
1362
1363 -class aMCatNLOCmd(CmdExtended, HelpToCmd, CompleteForCmd, common_run.CommonRunCmd):
1364 """The command line processor of MadGraph"""
1365
1366
1367 true = ['T','.true.',True,'true']
1368
1369 _run_options = ['--cluster','--multicore','--nb_core=','--nb_core=2', '-c', '-m']
1370 _generate_options = ['-f', '--laststep=parton', '--laststep=pythia', '--laststep=pgs', '--laststep=delphes']
1371 _calculate_decay_options = ['-f', '--accuracy=0.']
1372 _set_options = ['stdout_level','fortran_compiler','cpp_compiler','timeout']
1373 _plot_mode = ['all', 'parton','shower','pgs','delphes']
1374 _clean_mode = _plot_mode + ['channel', 'banner']
1375 _display_opts = ['run_name', 'options', 'variable']
1376
1377
1378 web = False
1379 cluster_mode = 0
1380 queue = 'madgraph'
1381 nb_core = None
1382 make_opts_var = {}
1383
1384 next_possibility = {
1385 'start': ['generate_events [OPTIONS]', 'calculate_crossx [OPTIONS]', 'launch [OPTIONS]',
1386 'help generate_events'],
1387 'generate_events': ['generate_events [OPTIONS]', 'shower'],
1388 'launch': ['launch [OPTIONS]', 'shower'],
1389 'shower' : ['generate_events [OPTIONS]']
1390 }
1391
1392
1393
1394 - def __init__(self, me_dir = None, options = {}, *completekey, **stdin):
1395 """ add information to the cmd """
1396
1397 self.start_time = 0
1398 CmdExtended.__init__(self, me_dir, options, *completekey, **stdin)
1399
1400
1401 self.mode = 'aMCatNLO'
1402 self.nb_core = 0
1403 self.prompt = "%s>"%os.path.basename(pjoin(self.me_dir))
1404
1405
1406 self.load_results_db()
1407 self.results.def_web_mode(self.web)
1408
1409 proc_card = open(pjoin(self.me_dir, 'Cards', 'proc_card_mg5.dat')).read()
1410
1411 if not '[real=QCD]' in proc_card:
1412 check_compiler(self.options, block=True)
1413
1414
1415
1417 """ run the shower on a given parton level file """
1418 argss = self.split_arg(line)
1419 (options, argss) = _launch_parser.parse_args(argss)
1420
1421 options = options.__dict__
1422 options['reweightonly'] = False
1423 self.check_shower(argss, options)
1424 evt_file = pjoin(os.getcwd(), argss[0], 'events.lhe')
1425 self.ask_run_configuration('onlyshower', options)
1426 self.run_mcatnlo(evt_file, options)
1427
1428 self.update_status('', level='all', update_results=True)
1429
1430
1432 """Create the plot for a given run"""
1433
1434
1435 args = self.split_arg(line)
1436
1437 self.check_plot(args)
1438 logger.info('plot for run %s' % self.run_name)
1439
1440 if not self.force:
1441 self.ask_edit_cards([], args, plot=True)
1442
1443 if any([arg in ['parton'] for arg in args]):
1444 filename = pjoin(self.me_dir, 'Events', self.run_name, 'events.lhe')
1445 if os.path.exists(filename+'.gz'):
1446 misc.gunzip(filename)
1447 if os.path.exists(filename):
1448 logger.info('Found events.lhe file for run %s' % self.run_name)
1449 shutil.move(filename, pjoin(self.me_dir, 'Events', 'unweighted_events.lhe'))
1450 self.create_plot('parton')
1451 shutil.move(pjoin(self.me_dir, 'Events', 'unweighted_events.lhe'), filename)
1452 misc.gzip(filename)
1453
1454 if any([arg in ['all','parton'] for arg in args]):
1455 filename = pjoin(self.me_dir, 'Events', self.run_name, 'MADatNLO.top')
1456 if os.path.exists(filename):
1457 logger.info('Found MADatNLO.top file for run %s' % \
1458 self.run_name)
1459 output = pjoin(self.me_dir, 'HTML',self.run_name, 'plots_parton.html')
1460 plot_dir = pjoin(self.me_dir, 'HTML', self.run_name, 'plots_parton')
1461
1462 if not os.path.isdir(plot_dir):
1463 os.makedirs(plot_dir)
1464 top_file = pjoin(plot_dir, 'plots.top')
1465 files.cp(filename, top_file)
1466 madir = self.options['madanalysis_path']
1467 tag = self.run_card['run_tag']
1468 td = self.options['td_path']
1469 misc.call(['%s/plot' % self.dirbin, madir, td],
1470 stdout = open(pjoin(plot_dir, 'plot.log'),'a'),
1471 stderr = subprocess.STDOUT,
1472 cwd=plot_dir)
1473
1474 misc.call(['%s/plot_page-pl' % self.dirbin,
1475 os.path.basename(plot_dir),
1476 'parton'],
1477 stdout = open(pjoin(plot_dir, 'plot.log'),'a'),
1478 stderr = subprocess.STDOUT,
1479 cwd=pjoin(self.me_dir, 'HTML', self.run_name))
1480 shutil.move(pjoin(self.me_dir, 'HTML',self.run_name ,'plots.html'),
1481 output)
1482
1483 os.remove(pjoin(self.me_dir, 'Events', 'plots.top'))
1484
1485 if any([arg in ['all','shower'] for arg in args]):
1486 filenames = misc.glob('events_*.lhe.gz', pjoin(self.me_dir, 'Events', self.run_name))
1487 if len(filenames) != 1:
1488 filenames = misc.glob('events_*.hep.gz', pjoin(self.me_dir, 'Events', self.run_name))
1489 if len(filenames) != 1:
1490 logger.info('No shower level file found for run %s' % \
1491 self.run_name)
1492 return
1493 filename = filenames[0]
1494 misc.gunzip(filename, keep=True, stdout=pjoin(self.me_dir, 'Events','pythia_events.hep'))
1495
1496 if not os.path.exists(pjoin(self.me_dir, 'Cards', 'pythia_card.dat')):
1497 if aMCatNLO and not self.options['mg5_path']:
1498 raise "plotting NLO HEP file needs MG5 utilities"
1499
1500 files.cp(pjoin(self.options['mg5_path'], 'Template','LO', 'Cards', 'pythia_card_default.dat'),
1501 pjoin(self.me_dir, 'Cards', 'pythia_card.dat'))
1502 self.run_hep2lhe()
1503 else:
1504 filename = filenames[0]
1505 misc.gunzip(filename, keep=True, stdout=pjoin(self.me_dir, 'Events','pythia_events.hep'))
1506
1507 self.create_plot('shower')
1508 lhe_file_name = filename.replace('.hep.gz', '.lhe')
1509 shutil.move(pjoin(self.me_dir, 'Events','pythia_events.lhe'),
1510 lhe_file_name)
1511 misc.gzip(lhe_file_name)
1512
1513 if any([arg in ['all','pgs'] for arg in args]):
1514 filename = pjoin(self.me_dir, 'Events', self.run_name,
1515 '%s_pgs_events.lhco' % self.run_tag)
1516 if os.path.exists(filename+'.gz'):
1517 misc.gunzip(filename)
1518 if os.path.exists(filename):
1519 self.create_plot('PGS')
1520 misc.gzip(filename)
1521 else:
1522 logger.info('No valid files for pgs plot')
1523
1524 if any([arg in ['all','delphes'] for arg in args]):
1525 filename = pjoin(self.me_dir, 'Events', self.run_name,
1526 '%s_delphes_events.lhco' % self.run_tag)
1527 if os.path.exists(filename+'.gz'):
1528 misc.gunzip(filename)
1529 if os.path.exists(filename):
1530
1531 self.create_plot('Delphes')
1532
1533 misc.gzip(filename)
1534 else:
1535 logger.info('No valid files for delphes plot')
1536
1537
1538
1540 """Main commands: calculates LO/NLO cross-section, using madevent_mintFO
1541 this function wraps the do_launch one"""
1542
1543 self.start_time = time.time()
1544 argss = self.split_arg(line)
1545
1546 (options, argss) = _calculate_xsect_parser.parse_args(argss)
1547 options = options.__dict__
1548 options['reweightonly'] = False
1549 options['parton'] = True
1550 self.check_calculate_xsect(argss, options)
1551 self.do_launch(line, options, argss)
1552
1553
1555 """Make a run from the banner file"""
1556
1557 args = self.split_arg(line)
1558
1559 self.check_banner_run(args)
1560
1561
1562 for name in ['shower_card.dat', 'madspin_card.dat']:
1563 try:
1564 os.remove(pjoin(self.me_dir, 'Cards', name))
1565 except Exception:
1566 pass
1567
1568 banner_mod.split_banner(args[0], self.me_dir, proc_card=False)
1569
1570
1571 if not self.force:
1572 ans = self.ask('Do you want to modify the Cards/Run Type?', 'n', ['y','n'])
1573 if ans == 'n':
1574 self.force = True
1575
1576
1577 if self.force:
1578 mode_status = {'order': 'NLO', 'fixed_order': False, 'madspin':False, 'shower':True}
1579 banner = banner_mod.Banner(args[0])
1580 for line in banner['run_settings']:
1581 if '=' in line:
1582 mode, value = [t.strip() for t in line.split('=')]
1583 mode_status[mode] = value
1584 else:
1585 mode_status = {}
1586
1587
1588 self.do_launch('-n %s %s' % (self.run_name, '-f' if self.force else ''),
1589 switch=mode_status)
1590
1591
1593 """Main commands: generate events
1594 this function just wraps the do_launch one"""
1595 self.do_launch(line)
1596
1597
1598
1600 """Advanced commands: this is for creating the correct run_card.inc from the nlo format"""
1601
1602 self.check_param_card(pjoin(self.me_dir, 'Cards','param_card.dat'))
1603
1604
1605
1606
1607
1608 if mode in ['LO', 'NLO']:
1609 name = 'fo_lhe_weight_ratio'
1610 FO_card = analyse_card.FOAnalyseCard(pjoin(self.me_dir,'Cards', 'FO_analyse_card.dat'))
1611 if name in FO_card:
1612 self.run_card.set(name, FO_card[name], user=False)
1613 name = 'fo_lhe_postprocessing'
1614 if name in FO_card:
1615 self.run_card.set(name, FO_card[name], user=False)
1616
1617 return super(aMCatNLOCmd,self).do_treatcards(line, amcatnlo)
1618
1619
1621 """assign all configuration variable from file
1622 loop over the different config file if config_file not define """
1623 return super(aMCatNLOCmd,self).set_configuration(amcatnlo=amcatnlo, **opt)
1624
1625
1626 - def do_launch(self, line, options={}, argss=[], switch={}):
1627 """Main commands: launch the full chain
1628 options and args are relevant if the function is called from other
1629 functions, such as generate_events or calculate_xsect
1630 mode gives the list of switch needed for the computation (usefull for banner_run)
1631 """
1632
1633 if not argss and not options:
1634 self.start_time = time.time()
1635 argss = self.split_arg(line)
1636
1637 (options, argss) = _launch_parser.parse_args(argss)
1638 options = options.__dict__
1639 self.check_launch(argss, options)
1640
1641
1642 if 'run_name' in options.keys() and options['run_name']:
1643 self.run_name = options['run_name']
1644
1645
1646 if os.path.isdir(pjoin(self.me_dir, 'Events', self.run_name)):
1647 logger.warning('Removing old run information in \n'+
1648 pjoin(self.me_dir, 'Events', self.run_name))
1649 files.rm(pjoin(self.me_dir, 'Events', self.run_name))
1650 self.results.delete_run(self.run_name)
1651 else:
1652 self.run_name = ''
1653
1654 if options['multicore']:
1655 self.cluster_mode = 2
1656 elif options['cluster']:
1657 self.cluster_mode = 1
1658
1659 if not switch:
1660 mode = argss[0]
1661
1662 if mode in ['LO', 'NLO']:
1663 options['parton'] = True
1664 mode = self.ask_run_configuration(mode, options)
1665 else:
1666 mode = self.ask_run_configuration('auto', options, switch)
1667
1668 self.results.add_detail('run_mode', mode)
1669
1670 self.update_status('Starting run', level=None, update_results=True)
1671
1672 if self.options['automatic_html_opening']:
1673 misc.open_file(os.path.join(self.me_dir, 'crossx.html'))
1674 self.options['automatic_html_opening'] = False
1675
1676 if '+' in mode:
1677 mode = mode.split('+')[0]
1678 self.compile(mode, options)
1679 evt_file = self.run(mode, options)
1680
1681 if self.run_card['nevents'] == 0 and not mode in ['LO', 'NLO']:
1682 logger.info('No event file generated: grids have been set-up with a '\
1683 'relative precision of %s' % self.run_card['req_acc'])
1684 return
1685
1686 if not mode in ['LO', 'NLO']:
1687 assert evt_file == pjoin(self.me_dir,'Events', self.run_name, 'events.lhe'), '%s != %s' %(evt_file, pjoin(self.me_dir,'Events', self.run_name, 'events.lhe.gz'))
1688
1689 if self.run_card['systematics_program'] == 'systematics':
1690 self.exec_cmd('systematics %s %s ' % (self.run_name, ' '.join(self.run_card['systematics_arguments'])))
1691
1692 self.exec_cmd('reweight -from_cards', postcmd=False)
1693 self.exec_cmd('decay_events -from_cards', postcmd=False)
1694 evt_file = pjoin(self.me_dir,'Events', self.run_name, 'events.lhe')
1695
1696 if not mode in ['LO', 'NLO', 'noshower', 'noshowerLO'] \
1697 and not options['parton']:
1698 self.run_mcatnlo(evt_file, options)
1699 self.exec_cmd('madanalysis5_hadron --no_default', postcmd=False, printcmd=False)
1700
1701 elif mode == 'noshower':
1702 logger.warning("""You have chosen not to run a parton shower. NLO events without showering are NOT physical.
1703 Please, shower the Les Houches events before using them for physics analyses.""")
1704
1705
1706 self.update_status('', level='all', update_results=True)
1707 if self.run_card['ickkw'] == 3 and \
1708 (mode in ['noshower'] or \
1709 (('PYTHIA8' not in self.run_card['parton_shower'].upper()) and (mode in ['aMC@NLO']))):
1710 logger.warning("""You are running with FxFx merging enabled.
1711 To be able to merge samples of various multiplicities without double counting,
1712 you have to remove some events after showering 'by hand'.
1713 Please read http://amcatnlo.cern.ch/FxFx_merging.htm for more details.""")
1714
1715 self.store_result()
1716
1717 if self.param_card_iterator:
1718 cpath = pjoin(self.me_dir,'Cards','param_card.dat')
1719 param_card_iterator = self.param_card_iterator
1720 self.param_card_iterator = []
1721 param_card_iterator.store_entry(self.run_name, self.results.current['cross'],
1722 error=self.results.current['error'],
1723 param_card_path=cpath)
1724 orig_name = self.run_name
1725
1726 with misc.TMP_variable(self, 'allow_notification_center', False):
1727 for i,card in enumerate(param_card_iterator):
1728 card.write(cpath)
1729 self.check_param_card(cpath, dependent=True)
1730 if not options['force']:
1731 options['force'] = True
1732 if options['run_name']:
1733 options['run_name'] = '%s_%s' % (orig_name, i+1)
1734 if not argss:
1735 argss = [mode, "-f"]
1736 elif argss[0] == "auto":
1737 argss[0] = mode
1738 self.do_launch("", options=options, argss=argss, switch=switch)
1739
1740 param_card_iterator.store_entry(self.run_name, self.results.current['cross'],
1741 error=self.results.current['error'],
1742 param_card_path=cpath)
1743
1744 param_card_iterator.write(pjoin(self.me_dir,'Cards','param_card.dat'))
1745 name = misc.get_scan_name(orig_name, self.run_name)
1746 path = pjoin(self.me_dir, 'Events','scan_%s.txt' % name)
1747 logger.info("write all cross-section results in %s" % path, '$MG:BOLD')
1748 param_card_iterator.write_summary(path)
1749
1750 if self.allow_notification_center:
1751 misc.apple_notify('Run %s finished' % os.path.basename(self.me_dir),
1752 '%s: %s +- %s ' % (self.results.current['run_name'],
1753 self.results.current['cross'],
1754 self.results.current['error']))
1755
1756
1757
1759 """Advanced commands: just compile the executables """
1760 argss = self.split_arg(line)
1761
1762 (options, argss) = _compile_parser.parse_args(argss)
1763 options = options.__dict__
1764 options['reweightonly'] = False
1765 options['nocompile'] = False
1766 self.check_compile(argss, options)
1767
1768 mode = {'FO': 'NLO', 'MC': 'aMC@NLO'}[argss[0]]
1769 self.ask_run_configuration(mode, options)
1770 self.compile(mode, options)
1771
1772
1773 self.update_status('', level='all', update_results=True)
1774
1775
1777 """Update random number seed with the value from the run_card.
1778 If this is 0, update the number according to a fresh one"""
1779 iseed = self.run_card['iseed']
1780 if iseed == 0:
1781 randinit = open(pjoin(self.me_dir, 'SubProcesses', 'randinit'))
1782 iseed = int(randinit.read()[2:]) + 1
1783 randinit.close()
1784 randinit = open(pjoin(self.me_dir, 'SubProcesses', 'randinit'), 'w')
1785 randinit.write('r=%d' % iseed)
1786 randinit.close()
1787
1788
1789 - def run(self, mode, options):
1790 """runs aMC@NLO. Returns the name of the event file created"""
1791 logger.info('Starting run')
1792
1793 if not 'only_generation' in options.keys():
1794 options['only_generation'] = False
1795
1796
1797 if mode in ['LO', 'NLO'] and self.run_card['iappl'] == 2 and not options['only_generation']:
1798 options['only_generation'] = True
1799 self.get_characteristics(pjoin(self.me_dir, 'SubProcesses', 'proc_characteristics'))
1800 self.setup_cluster_or_multicore()
1801 self.update_random_seed()
1802
1803 folder_names = {'LO': ['born_G*'], 'NLO': ['all_G*'],
1804 'aMC@LO': ['GB*'], 'aMC@NLO': ['GF*']}
1805 folder_names['noshower'] = folder_names['aMC@NLO']
1806 folder_names['noshowerLO'] = folder_names['aMC@LO']
1807 p_dirs = [d for d in \
1808 open(pjoin(self.me_dir, 'SubProcesses', 'subproc.mg')).read().split('\n') if d]
1809
1810 self.clean_previous_results(options,p_dirs,folder_names[mode])
1811
1812 mcatnlo_status = ['Setting up grids', 'Computing upper envelope', 'Generating events']
1813
1814
1815 if options['reweightonly']:
1816 event_norm=self.run_card['event_norm']
1817 nevents=self.run_card['nevents']
1818 return self.reweight_and_collect_events(options, mode, nevents, event_norm)
1819
1820 if mode in ['LO', 'NLO']:
1821
1822 mode_dict = {'NLO': 'all', 'LO': 'born'}
1823 logger.info('Doing fixed order %s' % mode)
1824 req_acc = self.run_card['req_acc_FO']
1825
1826
1827
1828 if self.run_card['iappl'] == 2:
1829 self.applgrid_distribute(options,mode_dict[mode],p_dirs)
1830
1831
1832
1833 integration_step=-1
1834 jobs_to_run,jobs_to_collect,integration_step = self.create_jobs_to_run(options,p_dirs, \
1835 req_acc,mode_dict[mode],integration_step,mode,fixed_order=True)
1836 self.prepare_directories(jobs_to_run,mode)
1837
1838
1839
1840
1841 while True:
1842 integration_step=integration_step+1
1843 self.run_all_jobs(jobs_to_run,integration_step)
1844 self.collect_log_files(jobs_to_run,integration_step)
1845 jobs_to_run,jobs_to_collect=self.collect_the_results(options,req_acc,jobs_to_run, \
1846 jobs_to_collect,integration_step,mode,mode_dict[mode])
1847 if not jobs_to_run:
1848
1849 break
1850
1851 self.finalise_run_FO(folder_names[mode],jobs_to_collect)
1852 self.update_status('Run complete', level='parton', update_results=True)
1853 return
1854
1855 elif mode in ['aMC@NLO','aMC@LO','noshower','noshowerLO']:
1856 if self.ninitial == 1:
1857 raise aMCatNLOError('Decay processes can only be run at fixed order.')
1858 mode_dict = {'aMC@NLO': 'all', 'aMC@LO': 'born',\
1859 'noshower': 'all', 'noshowerLO': 'born'}
1860 shower = self.run_card['parton_shower'].upper()
1861 nevents = self.run_card['nevents']
1862 req_acc = self.run_card['req_acc']
1863 if nevents == 0 and req_acc < 0 :
1864 raise aMCatNLOError('Cannot determine the required accuracy from the number '\
1865 'of events, because 0 events requested. Please set '\
1866 'the "req_acc" parameter in the run_card to a value '\
1867 'between 0 and 1')
1868 elif req_acc >1 or req_acc == 0 :
1869 raise aMCatNLOError('Required accuracy ("req_acc" in the run_card) should '\
1870 'be between larger than 0 and smaller than 1, '\
1871 'or set to -1 for automatic determination. Current '\
1872 'value is %f' % req_acc)
1873
1874 elif req_acc < 0 and nevents > 1000000 :
1875 req_acc=0.001
1876
1877 shower_list = ['HERWIG6', 'HERWIGPP', 'PYTHIA6Q', 'PYTHIA6PT', 'PYTHIA8']
1878
1879 if not shower in shower_list:
1880 raise aMCatNLOError('%s is not a valid parton shower. '\
1881 'Please use one of the following: %s' \
1882 % (shower, ', '.join(shower_list)))
1883
1884
1885 if shower == 'PYTHIA6PT' and self.proc_characteristics['has_fsr']:
1886 raise aMCatNLOError('PYTHIA6PT does not support processes with FSR')
1887
1888 if mode in ['aMC@NLO', 'aMC@LO']:
1889 logger.info('Doing %s matched to parton shower' % mode[4:])
1890 elif mode in ['noshower','noshowerLO']:
1891 logger.info('Generating events without running the shower.')
1892 elif options['only_generation']:
1893 logger.info('Generating events starting from existing results')
1894
1895 jobs_to_run,jobs_to_collect,integration_step = self.create_jobs_to_run(options,p_dirs, \
1896 req_acc,mode_dict[mode],1,mode,fixed_order=False)
1897
1898 if options['only_generation']:
1899 jobs_to_run,jobs_to_collect=self.collect_the_results(options,req_acc,jobs_to_run, \
1900 jobs_to_collect,1,mode,mode_dict[mode],fixed_order=False)
1901 else:
1902 self.prepare_directories(jobs_to_run,mode,fixed_order=False)
1903
1904
1905
1906 for mint_step, status in enumerate(mcatnlo_status):
1907 if options['only_generation'] and mint_step < 2:
1908 continue
1909 self.update_status(status, level='parton')
1910 self.run_all_jobs(jobs_to_run,mint_step,fixed_order=False)
1911 self.collect_log_files(jobs_to_run,mint_step)
1912 jobs_to_run,jobs_to_collect=self.collect_the_results(options,req_acc,jobs_to_run, \
1913 jobs_to_collect,mint_step,mode,mode_dict[mode],fixed_order=False)
1914 if mint_step+1==2 and nevents==0:
1915 self.print_summary(options,2,mode)
1916 return
1917
1918
1919 self.check_event_files(jobs_to_collect)
1920
1921 if self.cluster_mode == 1:
1922
1923 self.update_status(
1924 'Waiting while files are transferred back from the cluster nodes',
1925 level='parton')
1926 time.sleep(10)
1927
1928 event_norm=self.run_card['event_norm']
1929 return self.reweight_and_collect_events(options, mode, nevents, event_norm)
1930
1931 - def create_jobs_to_run(self,options,p_dirs,req_acc,run_mode,\
1932 integration_step,mode,fixed_order=True):
1933 """Creates a list of dictionaries with all the jobs to be run"""
1934 jobs_to_run=[]
1935 if not options['only_generation']:
1936
1937
1938
1939 npoints = self.run_card['npoints_FO_grid']
1940 niters = self.run_card['niters_FO_grid']
1941 for p_dir in p_dirs:
1942 try:
1943 with open(pjoin(self.me_dir,'SubProcesses',p_dir,'channels.txt')) as chan_file:
1944 channels=chan_file.readline().split()
1945 except IOError:
1946 logger.warning('No integration channels found for contribution %s' % p_dir)
1947 continue
1948 if fixed_order:
1949 lch=len(channels)
1950 maxchannels=20
1951 if self.run_card['iappl'] != 0: maxchannels=1
1952 njobs=(int(lch/maxchannels)+1 if lch%maxchannels!= 0 \
1953 else int(lch/maxchannels))
1954 for nj in range(1,njobs+1):
1955 job={}
1956 job['p_dir']=p_dir
1957 job['channel']=str(nj)
1958 job['nchans']=(int(lch/njobs)+1 if nj <= lch%njobs else int(lch/njobs))
1959 job['configs']=' '.join(channels[:job['nchans']])
1960 del channels[:job['nchans']]
1961 job['split']=0
1962 if req_acc == -1:
1963 job['accuracy']=0
1964 job['niters']=niters
1965 job['npoints']=npoints
1966 elif req_acc > 0:
1967 job['accuracy']=0.05
1968 job['niters']=6
1969 job['npoints']=-1
1970 else:
1971 raise aMCatNLOError('No consistent "req_acc_FO" set. Use a value '+
1972 'between 0 and 1 or set it equal to -1.')
1973 job['mint_mode']=0
1974 job['run_mode']=run_mode
1975 job['wgt_frac']=1.0
1976 job['wgt_mult']=1.0
1977 jobs_to_run.append(job)
1978 if channels:
1979 raise aMCatNLOError('channels is not empty %s' % channels)
1980 else:
1981 for channel in channels:
1982 job={}
1983 job['p_dir']=p_dir
1984 job['channel']=channel
1985 job['split']=0
1986 job['accuracy']=0.03
1987 job['niters']=12
1988 job['npoints']=-1
1989 job['mint_mode']=0
1990 job['run_mode']=run_mode
1991 job['wgt_frac']=1.0
1992 jobs_to_run.append(job)
1993 jobs_to_collect=copy.copy(jobs_to_run)
1994 else:
1995
1996 try:
1997 with open(pjoin(self.me_dir,"SubProcesses","job_status.pkl"),'rb') as f:
1998 jobs_to_collect=pickle.load(f)
1999 for job in jobs_to_collect:
2000 job['dirname']=pjoin(self.me_dir,'SubProcesses',job['dirname'].rsplit('/SubProcesses/',1)[1])
2001 jobs_to_run=copy.copy(jobs_to_collect)
2002 except:
2003 raise aMCatNLOError('Cannot reconstruct saved job status in %s' % \
2004 pjoin(self.me_dir,'SubProcesses','job_status.pkl'))
2005
2006 if fixed_order:
2007 jobs_to_run,jobs_to_collect=self.collect_the_results(options,req_acc,jobs_to_run,
2008 jobs_to_collect,integration_step,mode,run_mode)
2009
2010 integration_step=1
2011 for job in jobs_to_run:
2012 while os.path.exists(pjoin(job['dirname'],'res_%s.dat' % integration_step)):
2013 integration_step=integration_step+1
2014 integration_step=integration_step-1
2015 else:
2016 self.append_the_results(jobs_to_collect,integration_step)
2017 return jobs_to_run,jobs_to_collect,integration_step
2018
2020 """Set-up the G* directories for running"""
2021 name_suffix={'born' :'B' , 'all':'F'}
2022 for job in jobs_to_run:
2023 if job['split'] == 0:
2024 if fixed_order :
2025 dirname=pjoin(self.me_dir,'SubProcesses',job['p_dir'],
2026 job['run_mode']+'_G'+job['channel'])
2027 else:
2028 dirname=pjoin(self.me_dir,'SubProcesses',job['p_dir'],
2029 'G'+name_suffix[job['run_mode']]+job['channel'])
2030 else:
2031 if fixed_order :
2032 dirname=pjoin(self.me_dir,'SubProcesses',job['p_dir'],
2033 job['run_mode']+'_G'+job['channel']+'_'+str(job['split']))
2034 else:
2035 dirname=pjoin(self.me_dir,'SubProcesses',job['p_dir'],
2036 'G'+name_suffix[job['run_mode']]+job['channel']+'_'+str(job['split']))
2037 job['dirname']=dirname
2038 if not os.path.isdir(dirname):
2039 os.makedirs(dirname)
2040 self.write_input_file(job,fixed_order)
2041
2042 if not fixed_order:
2043 if job['split'] != 0:
2044 for f in ['grid.MC_integer','mint_grids','res_1']:
2045 if not os.path.isfile(pjoin(job['dirname'],f)):
2046 files.ln(pjoin(job['dirname'].rsplit("_",1)[0],f),job['dirname'])
2047 else:
2048 if job['split'] != 0:
2049 for f in ['grid.MC_integer','mint_grids']:
2050 files.cp(pjoin(job['dirname'].rsplit("_",1)[0],f),job['dirname'])
2051
2052
2087
2088
2089 - def run_all_jobs(self,jobs_to_run,integration_step,fixed_order=True):
2090 """Loops over the jobs_to_run and executes them using the function 'run_exe'"""
2091 if fixed_order:
2092 if integration_step == 0:
2093 self.update_status('Setting up grids', level=None)
2094 else:
2095 self.update_status('Refining results, step %i' % integration_step, level=None)
2096 self.ijob = 0
2097 name_suffix={'born' :'B', 'all':'F'}
2098 if fixed_order:
2099 run_type="Fixed order integration step %s" % integration_step
2100 else:
2101 run_type="MINT step %s" % integration_step
2102 self.njobs=len(jobs_to_run)
2103 for job in jobs_to_run:
2104 executable='ajob1'
2105 if fixed_order:
2106 arguments=[job['channel'],job['run_mode'], \
2107 str(job['split']),str(integration_step)]
2108 else:
2109 arguments=[job['channel'],name_suffix[job['run_mode']], \
2110 str(job['split']),str(integration_step)]
2111 self.run_exe(executable,arguments,run_type,
2112 cwd=pjoin(self.me_dir,'SubProcesses',job['p_dir']))
2113
2114 if self.cluster_mode == 2:
2115 time.sleep(1)
2116 self.wait_for_complete(run_type)
2117
2118
2119 - def collect_the_results(self,options,req_acc,jobs_to_run,jobs_to_collect,\
2120 integration_step,mode,run_mode,fixed_order=True):
2121 """Collect the results, make HTML pages, print the summary and
2122 determine if there are more jobs to run. Returns the list
2123 of the jobs that still need to be run, as well as the
2124 complete list of jobs that need to be collected to get the
2125 final answer.
2126 """
2127
2128 self.append_the_results(jobs_to_run,integration_step)
2129 self.cross_sect_dict = self.write_res_txt_file(jobs_to_collect,integration_step)
2130
2131 if fixed_order:
2132 cross, error = self.make_make_all_html_results(folder_names=['%s*' % run_mode],
2133 jobs=jobs_to_collect)
2134 else:
2135 name_suffix={'born' :'B' , 'all':'F'}
2136 cross, error = self.make_make_all_html_results(folder_names=['G%s*' % name_suffix[run_mode]])
2137 self.results.add_detail('cross', cross)
2138 self.results.add_detail('error', error)
2139
2140 if fixed_order:
2141 jobs_to_run=self.combine_split_order_run(jobs_to_run)
2142
2143 jobs_to_run_new=self.update_jobs_to_run(req_acc,integration_step,jobs_to_run,fixed_order)
2144
2145 if fixed_order:
2146
2147
2148 with open(pjoin(self.me_dir,"SubProcesses","job_status.pkl"),'wb') as f:
2149 pickle.dump(jobs_to_collect,f)
2150
2151 if (not jobs_to_run_new) and fixed_order:
2152
2153 scale_pdf_info=self.collect_scale_pdf_info(options,jobs_to_collect)
2154 self.print_summary(options,integration_step,mode,scale_pdf_info,done=True)
2155 return jobs_to_run_new,jobs_to_collect
2156 elif jobs_to_run_new:
2157
2158 scale_pdf_info=[]
2159 self.print_summary(options,integration_step,mode,scale_pdf_info,done=False)
2160 else:
2161
2162
2163
2164 scale_pdf_info=[]
2165
2166 if (not fixed_order) and integration_step+1 == 2 :
2167
2168
2169 with open(pjoin(self.me_dir,"SubProcesses","job_status.pkl"),'wb') as f:
2170 pickle.dump(jobs_to_collect,f)
2171
2172 jobs_to_run_new,jobs_to_collect_new= \
2173 self.check_the_need_to_split(jobs_to_run_new,jobs_to_collect)
2174 self.prepare_directories(jobs_to_run_new,mode,fixed_order)
2175 self.write_nevents_unweighted_file(jobs_to_collect_new,jobs_to_collect)
2176 self.write_nevts_files(jobs_to_run_new)
2177 else:
2178 if fixed_order and self.run_card['iappl'] == 0 \
2179 and self.run_card['req_acc_FO'] > 0:
2180 jobs_to_run_new,jobs_to_collect= \
2181 self.split_jobs_fixed_order(jobs_to_run_new,jobs_to_collect)
2182 self.prepare_directories(jobs_to_run_new,mode,fixed_order)
2183 jobs_to_collect_new=jobs_to_collect
2184 return jobs_to_run_new,jobs_to_collect_new
2185
2186
2188 """writes the nevents_unweighted file in the SubProcesses directory.
2189 We also need to write the jobs that will generate 0 events,
2190 because that makes sure that the cross section from those channels
2191 is taken into account in the event weights (by collect_events.f).
2192 """
2193 content=[]
2194 for job in jobs:
2195 path=pjoin(job['dirname'].split('/')[-2],job['dirname'].split('/')[-1])
2196 lhefile=pjoin(path,'events.lhe')
2197 content.append(' %s %d %9e %9e' % \
2198 (lhefile.ljust(40),job['nevents'],job['resultABS']*job['wgt_frac'],job['wgt_frac']))
2199 for job in jobs0events:
2200 if job['nevents']==0:
2201 path=pjoin(job['dirname'].split('/')[-2],job['dirname'].split('/')[-1])
2202 lhefile=pjoin(path,'events.lhe')
2203 content.append(' %s %d %9e %9e' % \
2204 (lhefile.ljust(40),job['nevents'],job['resultABS'],1.))
2205 with open(pjoin(self.me_dir,'SubProcesses',"nevents_unweighted"),'w') as f:
2206 f.write('\n'.join(content)+'\n')
2207
2209 """write the nevts files in the SubProcesses/P*/G*/ directories"""
2210 for job in jobs:
2211 with open(pjoin(job['dirname'],'nevts'),'w') as f:
2212 if self.run_card['event_norm'].lower()=='bias':
2213 f.write('%i %f\n' % (job['nevents'],self.cross_sect_dict['xseca']))
2214 else:
2215 f.write('%i\n' % job['nevents'])
2216
2218 """Combines jobs and grids from split jobs that have been run"""
2219
2220
2221
2222 jobgroups_to_combine=[]
2223 jobs_to_run_new=[]
2224 for job in jobs_to_run:
2225 if job['split'] == 0:
2226 job['combined']=1
2227 jobs_to_run_new.append(job)
2228 elif job['split'] == 1:
2229 jobgroups_to_combine.append(filter(lambda j: j['p_dir'] == job['p_dir'] and \
2230 j['channel'] == job['channel'], jobs_to_run))
2231 else:
2232 continue
2233 for job_group in jobgroups_to_combine:
2234
2235 self.combine_split_order_grids(job_group)
2236 jobs_to_run_new.append(self.combine_split_order_jobs(job_group))
2237 return jobs_to_run_new
2238
2240 """combine the jobs in job_group and return a single summed job"""
2241
2242 sum_job=copy.copy(job_group[0])
2243
2244 sum_job['dirname']=pjoin(sum_job['dirname'].rsplit('_',1)[0])
2245 sum_job['split']=0
2246 sum_job['wgt_mult']=1.0
2247 sum_job['combined']=len(job_group)
2248
2249 keys=['niters_done','npoints_done','niters','npoints',\
2250 'result','resultABS','time_spend']
2251 keys2=['error','errorABS']
2252
2253 for key in keys2:
2254 sum_job[key]=math.pow(sum_job[key],2)
2255
2256 for i,job in enumerate(job_group):
2257 if i==0 : continue
2258 for key in keys:
2259 sum_job[key]+=job[key]
2260 for key in keys2:
2261 sum_job[key]+=math.pow(job[key],2)
2262 for key in keys2:
2263 sum_job[key]=math.sqrt(sum_job[key])
2264 sum_job['err_percABS'] = sum_job['errorABS']/sum_job['resultABS']*100.
2265 sum_job['err_perc'] = sum_job['error']/sum_job['result']*100.
2266 sum_job['niters']=int(sum_job['niters_done']/len(job_group))
2267 sum_job['niters_done']=int(sum_job['niters_done']/len(job_group))
2268 return sum_job
2269
2270
2272 """Combines the mint_grids and MC-integer grids from the split order
2273 jobs (fixed order only).
2274 """
2275 files_mint_grids=[]
2276 files_MC_integer=[]
2277 location=None
2278 for job in job_group:
2279 files_mint_grids.append(pjoin(job['dirname'],'mint_grids'))
2280 files_MC_integer.append(pjoin(job['dirname'],'grid.MC_integer'))
2281 if not location:
2282 location=pjoin(job['dirname'].rsplit('_',1)[0])
2283 else:
2284 if location != pjoin(job['dirname'].rsplit('_',1)[0]) :
2285 raise aMCatNLOError('Not all jobs have the same location. '\
2286 +'Cannot combine them.')
2287
2288
2289
2290 for j,fs in enumerate([files_mint_grids,files_MC_integer]):
2291 linesoffiles=[]
2292 for f in fs:
2293 with open(f,'r+') as fi:
2294 linesoffiles.append(fi.readlines())
2295 to_write=[]
2296 for rowgrp in zip(*linesoffiles):
2297 try:
2298
2299
2300
2301
2302
2303 is_integer = [[int(row.strip().split()[-1])] for row in rowgrp]
2304 floatsbyfile = [[float(a) for a in row.strip().split()] for row in rowgrp]
2305 floatgrps = zip(*floatsbyfile)
2306 special=[]
2307 for i,floatgrp in enumerate(floatgrps):
2308 if i==0:
2309 special.append(sum(floatgrp))
2310 elif i==1:
2311 special.append(math.sqrt(sum([err**2 for err in floatgrp])))
2312 elif i==2:
2313 special.append(int(sum(floatgrp)/len(floatgrp)))
2314 elif i==3:
2315 special.append(int(sum(floatgrp)))
2316 elif i==4:
2317 special.append(int(sum(floatgrp)/len(floatgrp)))
2318 else:
2319 raise aMCatNLOError('"mint_grids" files not in correct format. '+\
2320 'Cannot combine them.')
2321 to_write.append(" ".join(str(s) for s in special) + "\n")
2322 except ValueError:
2323
2324 floatsbyfile = [[float(a) for a in row.strip().split()] for row in rowgrp]
2325 floatgrps = zip(*floatsbyfile)
2326 averages = [sum(floatgrp)/len(floatgrp) for floatgrp in floatgrps]
2327 to_write.append(" ".join(str(a) for a in averages) + "\n")
2328
2329 if j==0:
2330 with open(pjoin(location,'mint_grids'),'w') as f:
2331 f.writelines(to_write)
2332 elif j==1:
2333 with open(pjoin(location,'grid.MC_integer'),'w') as f:
2334 f.writelines(to_write)
2335
2336
2338 """Looks in the jobs_to_run to see if there is the need to split the
2339 jobs, depending on the expected time they take. Updates
2340 jobs_to_run and jobs_to_collect to replace the split-job by
2341 its splits.
2342 """
2343
2344 if self.options['run_mode'] ==2:
2345 nb_submit = int(self.options['nb_core'])
2346 elif self.options['run_mode'] ==1:
2347 nb_submit = int(self.options['cluster_size'])
2348 else:
2349 nb_submit =1
2350
2351 time_expected=0
2352 for job in jobs_to_run:
2353 time_expected+=job['time_spend']*(job['niters']*job['npoints'])/ \
2354 (job['niters_done']*job['npoints_done'])
2355
2356
2357 time_per_job=time_expected/(nb_submit*(1+len(jobs_to_run)/2))
2358 jobs_to_run_new=[]
2359 jobs_to_collect_new=copy.copy(jobs_to_collect)
2360 for job in jobs_to_run:
2361
2362
2363
2364 for j in filter(lambda j: j['p_dir'] == job['p_dir'] and \
2365 j['channel'] == job['channel'], jobs_to_collect_new):
2366 jobs_to_collect_new.remove(j)
2367 time_expected=job['time_spend']*(job['niters']*job['npoints'])/ \
2368 (job['niters_done']*job['npoints_done'])
2369
2370
2371
2372 if time_expected > max(2*job['time_spend']/job['combined'],time_per_job):
2373
2374 nsplit=min(max(int(time_expected/max(2*job['time_spend']/job['combined'],time_per_job)),2),nb_submit)
2375 for i in range(1,nsplit+1):
2376 job_new=copy.copy(job)
2377 job_new['split']=i
2378 job_new['wgt_mult']=1./float(nsplit)
2379 job_new['dirname']=job['dirname']+'_%i' % job_new['split']
2380 job_new['accuracy']=min(job['accuracy']*math.sqrt(float(nsplit)),0.1)
2381 if nsplit >= job['niters']:
2382 job_new['npoints']=int(job['npoints']*job['niters']/nsplit)
2383 job_new['niters']=1
2384 else:
2385 job_new['npoints']=int(job['npoints']/nsplit)
2386 jobs_to_collect_new.append(job_new)
2387 jobs_to_run_new.append(job_new)
2388 else:
2389 jobs_to_collect_new.append(job)
2390 jobs_to_run_new.append(job)
2391 return jobs_to_run_new,jobs_to_collect_new
2392
2393
2395 """Looks in the jobs_to_run to see if there is the need to split the
2396 event generation step. Updates jobs_to_run and
2397 jobs_to_collect to replace the split-job by its
2398 splits. Also removes jobs that do not need any events.
2399 """
2400 nevt_job=self.run_card['nevt_job']
2401 if nevt_job > 0:
2402 jobs_to_collect_new=copy.copy(jobs_to_collect)
2403 for job in jobs_to_run:
2404 nevents=job['nevents']
2405 if nevents == 0:
2406 jobs_to_collect_new.remove(job)
2407 elif nevents > nevt_job:
2408 jobs_to_collect_new.remove(job)
2409 if nevents % nevt_job != 0 :
2410 nsplit=int(nevents/nevt_job)+1
2411 else:
2412 nsplit=int(nevents/nevt_job)
2413 for i in range(1,nsplit+1):
2414 job_new=copy.copy(job)
2415 left_over=nevents % nsplit
2416 if i <= left_over:
2417 job_new['nevents']=int(nevents/nsplit)+1
2418 job_new['wgt_frac']=float(job_new['nevents'])/float(nevents)
2419 else:
2420 job_new['nevents']=int(nevents/nsplit)
2421 job_new['wgt_frac']=float(job_new['nevents'])/float(nevents)
2422 job_new['split']=i
2423 job_new['dirname']=job['dirname']+'_%i' % job_new['split']
2424 jobs_to_collect_new.append(job_new)
2425 jobs_to_run_new=copy.copy(jobs_to_collect_new)
2426 else:
2427 jobs_to_run_new=copy.copy(jobs_to_collect)
2428 for job in jobs_to_collect:
2429 if job['nevents'] == 0:
2430 jobs_to_run_new.remove(job)
2431 jobs_to_collect_new=copy.copy(jobs_to_run_new)
2432
2433 return jobs_to_run_new,jobs_to_collect_new
2434
2435
2437 """
2438 For (N)LO+PS: determines the number of events and/or the required
2439 accuracy per job.
2440 For fixed order: determines which jobs need higher precision and
2441 returns those with the newly requested precision.
2442 """
2443 err=self.cross_sect_dict['errt']
2444 tot=self.cross_sect_dict['xsect']
2445 errABS=self.cross_sect_dict['erra']
2446 totABS=self.cross_sect_dict['xseca']
2447 jobs_new=[]
2448 if fixed_order:
2449 if req_acc == -1:
2450 if step+1 == 1:
2451 npoints = self.run_card['npoints_FO']
2452 niters = self.run_card['niters_FO']
2453 for job in jobs:
2454 job['mint_mode']=-1
2455 job['niters']=niters
2456 job['npoints']=npoints
2457 jobs_new.append(job)
2458 elif step+1 == 2:
2459 pass
2460 elif step+1 > 2:
2461 raise aMCatNLOError('Cannot determine number of iterations and PS points '+
2462 'for integration step %i' % step )
2463 elif ( req_acc > 0 and err/abs(tot) > req_acc*1.2 ) or step <= 0:
2464 req_accABS=req_acc*abs(tot)/totABS
2465 for job in jobs:
2466 job['mint_mode']=-1
2467
2468 job['accuracy']=req_accABS*math.sqrt(totABS/job['resultABS'])
2469
2470
2471 if (job['accuracy'] > job['errorABS']/job['resultABS'] and step != 0) \
2472 and not (step==-1 and self.run_card['iappl'] == 2):
2473 continue
2474
2475 itmax_fl=job['niters_done']*math.pow(job['errorABS']/
2476 (job['accuracy']*job['resultABS']),2)
2477 if itmax_fl <= 4.0 :
2478 job['niters']=max(int(round(itmax_fl)),2)
2479 job['npoints']=job['npoints_done']*2
2480 elif itmax_fl > 4.0 and itmax_fl <= 16.0 :
2481 job['niters']=4
2482 job['npoints']=int(round(job['npoints_done']*itmax_fl/4.0))*2
2483 else:
2484 if itmax_fl > 100.0 : itmax_fl=50.0
2485 job['niters']=int(round(math.sqrt(itmax_fl)))
2486 job['npoints']=int(round(job['npoints_done']*itmax_fl/
2487 round(math.sqrt(itmax_fl))))*2
2488
2489 jobs_new.append(job)
2490 return jobs_new
2491 elif step+1 <= 2:
2492 nevents=self.run_card['nevents']
2493
2494 if req_acc<0:
2495 req_acc2_inv=nevents
2496 else:
2497 req_acc2_inv=1/(req_acc*req_acc)
2498 if step+1 == 1 or step+1 == 2 :
2499
2500 for job in jobs:
2501 accuracy=min(math.sqrt(totABS/(req_acc2_inv*job['resultABS'])),0.2)
2502 job['accuracy']=accuracy
2503 if step+1 == 2:
2504
2505
2506 r=self.get_randinit_seed()
2507 random.seed(r)
2508 totevts=nevents
2509 for job in jobs:
2510 job['nevents'] = 0
2511 while totevts :
2512 target = random.random() * totABS
2513 crosssum = 0.
2514 i = 0
2515 while i<len(jobs) and crosssum < target:
2516 job = jobs[i]
2517 crosssum += job['resultABS']
2518 i += 1
2519 totevts -= 1
2520 i -= 1
2521 jobs[i]['nevents'] += 1
2522 for job in jobs:
2523 job['mint_mode']=step+1
2524 return jobs
2525 else:
2526 return []
2527
2528
2530 """ Get the random number seed from the randinit file """
2531 with open(pjoin(self.me_dir,"SubProcesses","randinit")) as randinit:
2532
2533 iseed = int(randinit.read()[2:])
2534 return iseed
2535
2536
2538 """Appends the results for each of the jobs in the job list"""
2539 error_found=False
2540 for job in jobs:
2541 try:
2542 if integration_step >= 0 :
2543 with open(pjoin(job['dirname'],'res_%s.dat' % integration_step)) as res_file:
2544 results=res_file.readline().split()
2545 else:
2546
2547
2548 with open(pjoin(job['dirname'],'res.dat')) as res_file:
2549 results=res_file.readline().split()
2550 except IOError:
2551 if not error_found:
2552 error_found=True
2553 error_log=[]
2554 error_log.append(pjoin(job['dirname'],'log.txt'))
2555 continue
2556 job['resultABS']=float(results[0])
2557 job['errorABS']=float(results[1])
2558 job['result']=float(results[2])
2559 job['error']=float(results[3])
2560 job['niters_done']=int(results[4])
2561 job['npoints_done']=int(results[5])
2562 job['time_spend']=float(results[6])
2563 job['err_percABS'] = job['errorABS']/job['resultABS']*100.
2564 job['err_perc'] = job['error']/job['result']*100.
2565 if error_found:
2566 raise aMCatNLOError('An error occurred during the collection of results.\n' +
2567 'Please check the .log files inside the directories which failed:\n' +
2568 '\n'.join(error_log)+'\n')
2569
2570
2571
2573 """writes the res.txt files in the SubProcess dir"""
2574 jobs.sort(key = lambda job: -job['errorABS'])
2575 content=[]
2576 content.append('\n\nCross section per integration channel:')
2577 for job in jobs:
2578 content.append('%(p_dir)20s %(channel)15s %(result)10.8e %(error)6.4e %(err_perc)6.4f%% ' % job)
2579 content.append('\n\nABS cross section per integration channel:')
2580 for job in jobs:
2581 content.append('%(p_dir)20s %(channel)15s %(resultABS)10.8e %(errorABS)6.4e %(err_percABS)6.4f%% ' % job)
2582 totABS=0
2583 errABS=0
2584 tot=0
2585 err=0
2586 for job in jobs:
2587 totABS+= job['resultABS']*job['wgt_frac']
2588 errABS+= math.pow(job['errorABS'],2)*job['wgt_frac']
2589 tot+= job['result']*job['wgt_frac']
2590 err+= math.pow(job['error'],2)*job['wgt_frac']
2591 if jobs:
2592 content.append('\nTotal ABS and \nTotal: \n %10.8e +- %6.4e (%6.4e%%)\n %10.8e +- %6.4e (%6.4e%%) \n' %\
2593 (totABS, math.sqrt(errABS), math.sqrt(errABS)/totABS *100.,\
2594 tot, math.sqrt(err), math.sqrt(err)/tot *100.))
2595 with open(pjoin(self.me_dir,'SubProcesses','res_%s.txt' % integration_step),'w') as res_file:
2596 res_file.write('\n'.join(content))
2597 randinit=self.get_randinit_seed()
2598 return {'xsect':tot,'xseca':totABS,'errt':math.sqrt(err),\
2599 'erra':math.sqrt(errABS),'randinit':randinit}
2600
2601
2603 """read the scale_pdf_dependence.dat files and collects there results"""
2604 scale_pdf_info=[]
2605 if any(self.run_card['reweight_scale']) or any(self.run_card['reweight_PDF']) or \
2606 len(self.run_card['dynamical_scale_choice']) > 1 or len(self.run_card['lhaid']) > 1:
2607 evt_files=[]
2608 evt_wghts=[]
2609 for job in jobs:
2610 evt_files.append(pjoin(job['dirname'],'scale_pdf_dependence.dat'))
2611 evt_wghts.append(job['wgt_frac'])
2612 scale_pdf_info = self.pdf_scale_from_reweighting(evt_files,evt_wghts)
2613 return scale_pdf_info
2614
2615
2617 """combines the plots and puts then in the Events/run* directory"""
2618 devnull = open(os.devnull, 'w')
2619
2620 if self.analyse_card['fo_analysis_format'].lower() == 'topdrawer':
2621 topfiles = []
2622 for job in jobs:
2623 if job['dirname'].endswith('.top'):
2624 topfiles.append(job['dirname'])
2625 else:
2626 topfiles.append(pjoin(job['dirname'],'MADatNLO.top'))
2627 misc.call(['./combine_plots_FO.sh'] + topfiles, \
2628 stdout=devnull,
2629 cwd=pjoin(self.me_dir, 'SubProcesses'))
2630 files.cp(pjoin(self.me_dir, 'SubProcesses', 'MADatNLO.top'),
2631 pjoin(self.me_dir, 'Events', self.run_name))
2632 logger.info('The results of this run and the TopDrawer file with the plots' + \
2633 ' have been saved in %s' % pjoin(self.me_dir, 'Events', self.run_name))
2634 elif self.analyse_card['fo_analysis_format'].lower() == 'hwu':
2635 out=pjoin(self.me_dir,'Events',self.run_name,'MADatNLO')
2636 self.combine_plots_HwU(jobs,out)
2637 try:
2638 misc.call(['gnuplot','MADatNLO.gnuplot'],\
2639 stdout=devnull,stderr=devnull,\
2640 cwd=pjoin(self.me_dir, 'Events', self.run_name))
2641 except Exception:
2642 pass
2643 logger.info('The results of this run and the HwU and GnuPlot files with the plots' + \
2644 ' have been saved in %s' % pjoin(self.me_dir, 'Events', self.run_name))
2645 elif self.analyse_card['fo_analysis_format'].lower() == 'root':
2646 rootfiles = []
2647 for job in jobs:
2648 if job['dirname'].endswith('.root'):
2649 rootfiles.append(job['dirname'])
2650 else:
2651 rootfiles.append(pjoin(job['dirname'],'MADatNLO.root'))
2652 misc.call(['./combine_root.sh'] + folder_name + rootfiles, \
2653 stdout=devnull,
2654 cwd=pjoin(self.me_dir, 'SubProcesses'))
2655 files.cp(pjoin(self.me_dir, 'SubProcesses', 'MADatNLO.root'),
2656 pjoin(self.me_dir, 'Events', self.run_name))
2657 logger.info('The results of this run and the ROOT file with the plots' + \
2658 ' have been saved in %s' % pjoin(self.me_dir, 'Events', self.run_name))
2659 elif self.analyse_card['fo_analysis_format'].lower() == 'lhe':
2660 self.combine_FO_lhe(jobs)
2661 logger.info('The results of this run and the LHE File (to be used for plotting only)' + \
2662 ' have been saved in %s' % pjoin(self.me_dir, 'Events', self.run_name))
2663 else:
2664 logger.info('The results of this run' + \
2665 ' have been saved in %s' % pjoin(self.me_dir, 'Events', self.run_name))
2666
2668 """combine the various lhe file generated in each directory.
2669 They are two steps:
2670 1) banner
2671 2) reweight each sample by the factor written at the end of each file
2672 3) concatenate each of the new files (gzip those).
2673 """
2674
2675 logger.info('Combining lhe events for plotting analysis')
2676 start = time.time()
2677 self.run_card['fo_lhe_postprocessing'] = [i.lower() for i in self.run_card['fo_lhe_postprocessing']]
2678 output = pjoin(self.me_dir, 'Events', self.run_name, 'events.lhe.gz')
2679 if os.path.exists(output):
2680 os.remove(output)
2681
2682
2683
2684
2685
2686 text = open(pjoin(jobs[0]['dirname'],'header.txt'),'r').read()
2687 i1, i2 = text.find('<initrwgt>'),text.find('</initrwgt>')
2688 self.banner['initrwgt'] = text[10+i1:i2]
2689
2690
2691
2692
2693
2694
2695
2696 cross = sum(j['result'] for j in jobs)
2697 error = math.sqrt(sum(j['error'] for j in jobs))
2698 self.banner['init'] = "0 0 0e0 0e0 0 0 0 0 -4 1\n %s %s %s 1" % (cross, error, cross)
2699 self.banner.write(output[:-3], close_tag=False)
2700 misc.gzip(output[:-3])
2701
2702
2703
2704 fsock = lhe_parser.EventFile(output,'a')
2705 if 'nogrouping' in self.run_card['fo_lhe_postprocessing']:
2706 fsock.eventgroup = False
2707 else:
2708 fsock.eventgroup = True
2709
2710 if 'norandom' in self.run_card['fo_lhe_postprocessing']:
2711 for job in jobs:
2712 dirname = job['dirname']
2713
2714 lastline = misc.BackRead(pjoin(dirname,'events.lhe')).readline()
2715 nb_event, sumwgt, cross = [float(i) for i in lastline.split()]
2716
2717 ratio = cross/sumwgt
2718 lhe = lhe_parser.EventFile(pjoin(dirname,'events.lhe'))
2719 lhe.eventgroup = True
2720 for eventsgroup in lhe:
2721 neweventsgroup = []
2722 for i,event in enumerate(eventsgroup):
2723 event.rescale_weights(ratio)
2724 if i>0 and 'noidentification' not in self.run_card['fo_lhe_postprocessing'] \
2725 and event == neweventsgroup[-1]:
2726 neweventsgroup[-1].wgt += event.wgt
2727 for key in event.reweight_data:
2728 neweventsgroup[-1].reweight_data[key] += event.reweight_data[key]
2729 else:
2730 neweventsgroup.append(event)
2731 fsock.write_events(neweventsgroup)
2732 lhe.close()
2733 os.remove(pjoin(dirname,'events.lhe'))
2734 else:
2735 lhe = []
2736 lenlhe = []
2737 misc.sprint('need to combine %s event file' % len(jobs))
2738 globallhe = lhe_parser.MultiEventFile()
2739 globallhe.eventgroup = True
2740 for job in jobs:
2741 dirname = job['dirname']
2742 lastline = misc.BackRead(pjoin(dirname,'events.lhe')).readline()
2743 nb_event, sumwgt, cross = [float(i) for i in lastline.split()]
2744 lastlhe = globallhe.add(pjoin(dirname,'events.lhe'),cross, 0, cross,
2745 nb_event=int(nb_event), scale=cross/sumwgt)
2746 for eventsgroup in globallhe:
2747 neweventsgroup = []
2748 for i,event in enumerate(eventsgroup):
2749 event.rescale_weights(event.sample_scale)
2750 if i>0 and 'noidentification' not in self.run_card['fo_lhe_postprocessing'] \
2751 and event == neweventsgroup[-1]:
2752 neweventsgroup[-1].wgt += event.wgt
2753 for key in event.reweight_data:
2754 neweventsgroup[-1].reweight_data[key] += event.reweight_data[key]
2755 else:
2756 neweventsgroup.append(event)
2757 fsock.write_events(neweventsgroup)
2758 globallhe.close()
2759 fsock.write('</LesHouchesEvents>\n')
2760 fsock.close()
2761 misc.sprint('combining lhe file done in ', time.time()-start)
2762 for job in jobs:
2763 dirname = job['dirname']
2764 os.remove(pjoin(dirname,'events.lhe'))
2765
2766
2767
2768 misc.sprint('combining lhe file done in ', time.time()-start)
2769
2770
2771
2772
2773
2774
2776 """Sums all the plots in the HwU format."""
2777 logger.debug('Combining HwU plots.')
2778
2779 command = []
2780 command.append(pjoin(self.me_dir, 'bin', 'internal','histograms.py'))
2781 for job in jobs:
2782 if job['dirname'].endswith('.HwU'):
2783 command.append(job['dirname'])
2784 else:
2785 command.append(pjoin(job['dirname'],'MADatNLO.HwU'))
2786 command.append("--out="+out)
2787 command.append("--gnuplot")
2788 command.append("--band=[]")
2789 command.append("--lhapdf-config="+self.options['lhapdf'])
2790 if normalisation:
2791 command.append("--multiply="+(','.join([str(n) for n in normalisation])))
2792 command.append("--sum")
2793 command.append("--keep_all_weights")
2794 command.append("--no_open")
2795
2796 p = misc.Popen(command, stdout = subprocess.PIPE, stderr = subprocess.STDOUT, cwd=self.me_dir)
2797
2798 while p.poll() is None:
2799 line = p.stdout.readline()
2800 if any(t in line for t in ['INFO:','WARNING:','CRITICAL:','ERROR:','KEEP:']):
2801 print line[:-1]
2802 elif __debug__ and line:
2803 logger.debug(line[:-1])
2804
2805
2807 """Combines the APPLgrids in all the SubProcess/P*/all_G*/ directories"""
2808 logger.debug('Combining APPLgrids \n')
2809 applcomb=pjoin(self.options['applgrid'].rstrip('applgrid-config'),
2810 'applgrid-combine')
2811 all_jobs=[]
2812 for job in jobs:
2813 all_jobs.append(job['dirname'])
2814 ngrids=len(all_jobs)
2815 nobs =len([name for name in os.listdir(all_jobs[0]) if name.endswith("_out.root")])
2816 for obs in range(0,nobs):
2817 gdir = [pjoin(job,"grid_obs_"+str(obs)+"_out.root") for job in all_jobs]
2818
2819 if self.run_card["iappl"] == 1:
2820 misc.call([applcomb,'-o', pjoin(self.me_dir,"Events",self.run_name,
2821 "aMCfast_obs_"+str(obs)+"_starting_grid.root"), '--optimise']+ gdir)
2822 elif self.run_card["iappl"] == 2:
2823 unc2_inv=pow(cross/error,2)
2824 unc2_inv_ngrids=pow(cross/error,2)*ngrids
2825 misc.call([applcomb,'-o', pjoin(self.me_dir,"Events",
2826 self.run_name,"aMCfast_obs_"+str(obs)+".root"),'-s',
2827 str(unc2_inv),'--weight',str(unc2_inv)]+ gdir)
2828 for job in all_jobs:
2829 os.remove(pjoin(job,"grid_obs_"+str(obs)+"_in.root"))
2830 else:
2831 raise aMCatNLOError('iappl parameter can only be 0, 1 or 2')
2832
2833 for ggdir in gdir:
2834 os.remove(ggdir)
2835
2836
2838 """Distributes the APPLgrids ready to be filled by a second run of the code"""
2839
2840
2841 if not('appl_start_grid' in options.keys() and options['appl_start_grid']):
2842 gfiles = misc.glob(pjoin('*', 'aMCfast_obs_0_starting_grid.root'),
2843 pjoin(self.me_dir,'Events'))
2844
2845 time_stamps={}
2846 for root_file in gfiles:
2847 time_stamps[root_file]=os.path.getmtime(root_file)
2848 options['appl_start_grid']= \
2849 max(time_stamps.iterkeys(), key=(lambda key:
2850 time_stamps[key])).split('/')[-2]
2851 logger.info('No --appl_start_grid option given. '+\
2852 'Guessing that start grid from run "%s" should be used.' \
2853 % options['appl_start_grid'])
2854
2855 if 'appl_start_grid' in options.keys() and options['appl_start_grid']:
2856 self.appl_start_grid = options['appl_start_grid']
2857 start_grid_dir=pjoin(self.me_dir, 'Events', self.appl_start_grid)
2858
2859 if not os.path.exists(pjoin(start_grid_dir,
2860 'aMCfast_obs_0_starting_grid.root')):
2861 raise self.InvalidCmd('APPLgrid file not found: %s' % \
2862 pjoin(start_grid_dir,'aMCfast_obs_0_starting_grid.root'))
2863 else:
2864 all_grids=[pjoin(start_grid_dir,name) for name in os.listdir( \
2865 start_grid_dir) if name.endswith("_starting_grid.root")]
2866 nobs =len(all_grids)
2867 gstring=" ".join(all_grids)
2868 if not hasattr(self, 'appl_start_grid') or not self.appl_start_grid:
2869 raise self.InvalidCmd('No APPLgrid name currently defined.'+
2870 'Please provide this information.')
2871
2872 for pdir in p_dirs:
2873 g_dirs = [file for file in os.listdir(pjoin(self.me_dir,
2874 "SubProcesses",pdir)) if file.startswith(mode+'_G') and
2875 os.path.isdir(pjoin(self.me_dir,"SubProcesses",pdir, file))]
2876 for g_dir in g_dirs:
2877 for grid in all_grids:
2878 obs=grid.split('_')[-3]
2879 files.cp(grid,pjoin(self.me_dir,"SubProcesses",pdir,g_dir,
2880 'grid_obs_'+obs+'_in.root'))
2881
2882
2883
2884
2886 """collect the log files and put them in a single, html-friendly file
2887 inside the Events/run_.../ directory"""
2888 log_file = pjoin(self.me_dir, 'Events', self.run_name,
2889 'alllogs_%d.html' % integration_step)
2890 outfile = open(log_file, 'w')
2891
2892 content = ''
2893 content += '<HTML><BODY>\n<font face="courier" size=2>'
2894 for job in jobs:
2895
2896 log=pjoin(job['dirname'],'log_MINT%s.txt' % integration_step)
2897 content += '<a name=%s></a>\n' % (os.path.dirname(log).replace(
2898 pjoin(self.me_dir,'SubProcesses'),''))
2899
2900 content += '<font color="red">\n'
2901 content += '<br>LOG file for integration channel %s, %s <br>' % \
2902 (os.path.dirname(log).replace(pjoin(self.me_dir,
2903 'SubProcesses'), ''),
2904 integration_step)
2905 content += '</font>\n'
2906
2907
2908 with open(log) as l:
2909 content += '<PRE>\n' + l.read() + '\n</PRE>'
2910 content +='<br>\n'
2911 outfile.write(content)
2912 content=''
2913
2914 outfile.write('</font>\n</BODY></HTML>\n')
2915 outfile.close()
2916
2917
2919 """Combine the plots and put the res*.txt files in the Events/run.../ folder."""
2920
2921 res_files = misc.glob('res_*.txt', pjoin(self.me_dir, 'SubProcesses'))
2922 for res_file in res_files:
2923 files.mv(res_file,pjoin(self.me_dir, 'Events', self.run_name))
2924
2925 self.combine_plots_FO(folder_name,jobs)
2926
2927
2928 if self.run_card['iappl'] != 0:
2929 cross=self.cross_sect_dict['xsect']
2930 error=self.cross_sect_dict['errt']
2931 self.applgrid_combine(cross,error,jobs)
2932
2933
2935 """setup the number of cores for multicore, and the cluster-type for cluster runs"""
2936 if self.cluster_mode == 1:
2937 cluster_name = self.options['cluster_type']
2938 try:
2939 self.cluster = cluster.from_name[cluster_name](**self.options)
2940 except KeyError:
2941
2942
2943 cluster_class = misc.from_plugin_import(self.plugin_path,
2944 'new_cluster', cluster_name,
2945 info = 'cluster handling will be done with PLUGIN: %{plug}s' )
2946 if cluster_class:
2947 self.cluster = cluster_class(**self.options)
2948
2949 if self.cluster_mode == 2:
2950 try:
2951 import multiprocessing
2952 if not self.nb_core:
2953 try:
2954 self.nb_core = int(self.options['nb_core'])
2955 except TypeError:
2956 self.nb_core = multiprocessing.cpu_count()
2957 logger.info('Using %d cores' % self.nb_core)
2958 except ImportError:
2959 self.nb_core = 1
2960 logger.warning('Impossible to detect the number of cores => Using One.\n'+
2961 'Use set nb_core X in order to set this number and be able to'+
2962 'run in multicore.')
2963
2964 self.cluster = cluster.MultiCore(**self.options)
2965
2966
2968 """Clean previous results.
2969 o. If doing only the reweighting step, do not delete anything and return directlty.
2970 o. Always remove all the G*_* files (from split event generation).
2971 o. Remove the G* (or born_G* or all_G*) only when NOT doing only_generation or reweight_only."""
2972 if options['reweightonly']:
2973 return
2974 if not options['only_generation']:
2975 self.update_status('Cleaning previous results', level=None)
2976 for dir in p_dirs:
2977
2978 for obj in folder_name:
2979
2980 to_rm = [file for file in \
2981 os.listdir(pjoin(self.me_dir, 'SubProcesses', dir)) \
2982 if file.startswith(obj[:-1]) and \
2983 (os.path.isdir(pjoin(self.me_dir, 'SubProcesses', dir, file)) or \
2984 os.path.exists(pjoin(self.me_dir, 'SubProcesses', dir, file)))]
2985
2986 to_always_rm = [file for file in \
2987 os.listdir(pjoin(self.me_dir, 'SubProcesses', dir)) \
2988 if file.startswith(obj[:-1]) and
2989 '_' in file and not '_G' in file and \
2990 (os.path.isdir(pjoin(self.me_dir, 'SubProcesses', dir, file)) or \
2991 os.path.exists(pjoin(self.me_dir, 'SubProcesses', dir, file)))]
2992
2993 if not options['only_generation']:
2994 to_always_rm.extend(to_rm)
2995 if os.path.exists(pjoin(self.me_dir, 'SubProcesses', dir,'MadLoop5_resources.tar.gz')):
2996 to_always_rm.append(pjoin(self.me_dir, 'SubProcesses', dir,'MadLoop5_resources.tar.gz'))
2997 files.rm([pjoin(self.me_dir, 'SubProcesses', dir, d) for d in to_always_rm])
2998 return
2999
3000
3001 - def print_summary(self, options, step, mode, scale_pdf_info=[], done=True):
3002 """print a summary of the results contained in self.cross_sect_dict.
3003 step corresponds to the mintMC step, if =2 (i.e. after event generation)
3004 some additional infos are printed"""
3005
3006 proc_card_lines = open(pjoin(self.me_dir, 'Cards', 'proc_card_mg5.dat')).read().split('\n')
3007 process = ''
3008 for line in proc_card_lines:
3009 if line.startswith('generate') or line.startswith('add process'):
3010 process = process+(line.replace('generate ', '')).replace('add process ','')+' ; '
3011 lpp = {0:'l', 1:'p', -1:'pbar'}
3012 if self.ninitial == 1:
3013 proc_info = '\n Process %s' % process[:-3]
3014 else:
3015 proc_info = '\n Process %s\n Run at %s-%s collider (%s + %s GeV)' % \
3016 (process[:-3], lpp[self.run_card['lpp1']], lpp[self.run_card['lpp2']],
3017 self.run_card['ebeam1'], self.run_card['ebeam2'])
3018
3019 if self.ninitial == 1:
3020 self.cross_sect_dict['unit']='GeV'
3021 self.cross_sect_dict['xsec_string']='(Partial) decay width'
3022 self.cross_sect_dict['axsec_string']='(Partial) abs(decay width)'
3023 else:
3024 self.cross_sect_dict['unit']='pb'
3025 self.cross_sect_dict['xsec_string']='Total cross section'
3026 self.cross_sect_dict['axsec_string']='Total abs(cross section)'
3027 if self.run_card['event_norm'].lower()=='bias':
3028 self.cross_sect_dict['xsec_string']+=', incl. bias (DO NOT USE)'
3029
3030 if mode in ['aMC@NLO', 'aMC@LO', 'noshower', 'noshowerLO']:
3031 status = ['Determining the number of unweighted events per channel',
3032 'Updating the number of unweighted events per channel',
3033 'Summary:']
3034 computed='(computed from LHE events)'
3035 elif mode in ['NLO', 'LO']:
3036 status = ['Results after grid setup:','Current results:',
3037 'Final results and run summary:']
3038 computed='(computed from histogram information)'
3039
3040 if step != 2 and mode in ['aMC@NLO', 'aMC@LO', 'noshower', 'noshowerLO']:
3041 message = status[step] + '\n\n Intermediate results:' + \
3042 ('\n Random seed: %(randinit)d' + \
3043 '\n %(xsec_string)s: %(xsect)8.3e +- %(errt)6.1e %(unit)s' + \
3044 '\n %(axsec_string)s: %(xseca)8.3e +- %(erra)6.1e %(unit)s \n') \
3045 % self.cross_sect_dict
3046 elif mode in ['NLO','LO'] and not done:
3047 if step == 0:
3048 message = '\n ' + status[0] + \
3049 '\n %(xsec_string)s: %(xsect)8.3e +- %(errt)6.1e %(unit)s' % \
3050 self.cross_sect_dict
3051 else:
3052 message = '\n ' + status[1] + \
3053 '\n %(xsec_string)s: %(xsect)8.3e +- %(errt)6.1e %(unit)s' % \
3054 self.cross_sect_dict
3055
3056 else:
3057 message = '\n --------------------------------------------------------------'
3058 message = message + \
3059 '\n ' + status[2] + proc_info
3060 if mode not in ['LO', 'NLO']:
3061 message = message + \
3062 '\n Number of events generated: %s' % self.run_card['nevents']
3063 message = message + \
3064 '\n %(xsec_string)s: %(xsect)8.3e +- %(errt)6.1e %(unit)s' % \
3065 self.cross_sect_dict
3066 message = message + \
3067 '\n --------------------------------------------------------------'
3068 if scale_pdf_info and (self.run_card['nevents']>=10000 or mode in ['NLO', 'LO']):
3069 if scale_pdf_info[0]:
3070
3071 message = message + '\n Scale variation %s:' % computed
3072 for s in scale_pdf_info[0]:
3073 if s['unc']:
3074 if self.run_card['ickkw'] != -1:
3075 message = message + \
3076 ('\n Dynamical_scale_choice %(label)i (envelope of %(size)s values): '\
3077 '\n %(cen)8.3e pb +%(max)0.1f%% -%(min)0.1f%%') % s
3078 else:
3079 message = message + \
3080 ('\n Soft and hard scale dependence (added in quadrature): '\
3081 '\n %(cen)8.3e pb +%(max_q)0.1f%% -%(min_q)0.1f%%') % s
3082
3083 else:
3084 message = message + \
3085 ('\n Dynamical_scale_choice %(label)i: '\
3086 '\n %(cen)8.3e pb') % s
3087
3088 if scale_pdf_info[1]:
3089 message = message + '\n PDF variation %s:' % computed
3090 for p in scale_pdf_info[1]:
3091 if p['unc']=='none':
3092 message = message + \
3093 ('\n %(name)s (central value only): '\
3094 '\n %(cen)8.3e pb') % p
3095
3096 elif p['unc']=='unknown':
3097 message = message + \
3098 ('\n %(name)s (%(size)s members; combination method unknown): '\
3099 '\n %(cen)8.3e pb') % p
3100 else:
3101 message = message + \
3102 ('\n %(name)s (%(size)s members; using %(unc)s method): '\
3103 '\n %(cen)8.3e pb +%(max)0.1f%% -%(min)0.1f%%') % p
3104
3105 message = message + \
3106 '\n --------------------------------------------------------------'
3107
3108
3109 if (mode in ['NLO', 'LO'] and not done) or \
3110 (mode in ['aMC@NLO', 'aMC@LO', 'noshower', 'noshowerLO'] and step!=2):
3111 logger.info(message+'\n')
3112 return
3113
3114
3115
3116
3117
3118 if mode in ['aMC@NLO', 'aMC@LO', 'noshower', 'noshowerLO']:
3119 log_GV_files = misc.glob(pjoin('P*','G*','log_MINT*.txt'),
3120 pjoin(self.me_dir, 'SubProcesses'))
3121 all_log_files = log_GV_files
3122 elif mode == 'NLO':
3123 log_GV_files = misc.glob(pjoin('P*','all_G*','log_MINT*.txt'),
3124 pjoin(self.me_dir, 'SubProcesses'))
3125 all_log_files = log_GV_files
3126
3127 elif mode == 'LO':
3128 log_GV_files = ''
3129 all_log_files = misc.glob(pjoin('P*','born_G*','log_MINT*.txt'),
3130 pjoin(self.me_dir, 'SubProcesses'))
3131 else:
3132 raise aMCatNLOError, 'Running mode %s not supported.'%mode
3133
3134 try:
3135 message, debug_msg = \
3136 self.compile_advanced_stats(log_GV_files, all_log_files, message)
3137 except Exception as e:
3138 debug_msg = 'Advanced statistics collection failed with error "%s"\n'%str(e)
3139 err_string = StringIO.StringIO()
3140 traceback.print_exc(limit=4, file=err_string)
3141 debug_msg += 'Please report this backtrace to a MadGraph developer:\n%s'\
3142 %err_string.getvalue()
3143
3144 logger.debug(debug_msg+'\n')
3145 logger.info(message+'\n')
3146
3147
3148 evt_path = pjoin(self.me_dir, 'Events', self.run_name)
3149 open(pjoin(evt_path, 'summary.txt'),'w').write(message+'\n')
3150 open(pjoin(evt_path, '.full_summary.txt'),
3151 'w').write(message+'\n\n'+debug_msg+'\n')
3152
3153 self.archive_files(evt_path,mode)
3154
3156 """ Copies in the Events/Run_<xxx> directory relevant files characterizing
3157 the run."""
3158
3159 files_to_arxiv = [pjoin('Cards','param_card.dat'),
3160 pjoin('Cards','MadLoopParams.dat'),
3161 pjoin('Cards','FKS_params.dat'),
3162 pjoin('Cards','run_card.dat'),
3163 pjoin('Subprocesses','setscales.f'),
3164 pjoin('Subprocesses','cuts.f')]
3165
3166 if mode in ['NLO', 'LO']:
3167 files_to_arxiv.append(pjoin('Cards','FO_analyse_card.dat'))
3168
3169 if not os.path.exists(pjoin(evt_path,'RunMaterial')):
3170 os.mkdir(pjoin(evt_path,'RunMaterial'))
3171
3172 for path in files_to_arxiv:
3173 if os.path.isfile(pjoin(self.me_dir,path)):
3174 files.cp(pjoin(self.me_dir,path),pjoin(evt_path,'RunMaterial'))
3175 misc.call(['tar','-czpf','RunMaterial.tar.gz','RunMaterial'],cwd=evt_path)
3176 shutil.rmtree(pjoin(evt_path,'RunMaterial'))
3177
3179 """ This functions goes through the log files given in arguments and
3180 compiles statistics about MadLoop stability, virtual integration
3181 optimization and detection of potential error messages into a nice
3182 debug message to printed at the end of the run """
3183
3184 def safe_float(str_float):
3185 try:
3186 return float(str_float)
3187 except ValueError:
3188 logger.debug('Could not convert the following float during'+
3189 ' advanced statistics printout: %s'%str(str_float))
3190 return -1.0
3191
3192
3193
3194
3195 stats = {'UPS':{}, 'Errors':[], 'virt_stats':{}, 'timings':{}}
3196 mint_search = re.compile(r"MINT(?P<ID>\d*).txt")
3197
3198
3199
3200
3201
3202
3203
3204 UPS_stat_finder = re.compile(
3205 r"Satistics from MadLoop:.*"+\
3206 r"Total points tried\:\s+(?P<ntot>\d+).*"+\
3207 r"Stability unknown\:\s+(?P<nsun>\d+).*"+\
3208 r"Stable PS point\:\s+(?P<nsps>\d+).*"+\
3209 r"Unstable PS point \(and rescued\)\:\s+(?P<nups>\d+).*"+\
3210 r"Exceptional PS point \(unstable and not rescued\)\:\s+(?P<neps>\d+).*"+\
3211 r"Double precision used\:\s+(?P<nddp>\d+).*"+\
3212 r"Quadruple precision used\:\s+(?P<nqdp>\d+).*"+\
3213 r"Initialization phase\-space points\:\s+(?P<nini>\d+).*"+\
3214 r"Unknown return code \(100\)\:\s+(?P<n100>\d+).*"+\
3215 r"Unknown return code \(10\)\:\s+(?P<n10>\d+).*",re.DOTALL)
3216
3217 unit_code_meaning = { 0 : 'Not identified (CTModeRun != -1)',
3218 1 : 'CutTools (double precision)',
3219 2 : 'PJFry++',
3220 3 : 'IREGI',
3221 4 : 'Golem95',
3222 5 : 'Samurai',
3223 6 : 'Ninja (double precision)',
3224 7 : 'COLLIER',
3225 8 : 'Ninja (quadruple precision)',
3226 9 : 'CutTools (quadruple precision)'}
3227 RetUnit_finder =re.compile(
3228 r"#Unit\s*(?P<unit>\d+)\s*=\s*(?P<n_occurences>\d+)")
3229
3230
3231 for gv_log in log_GV_files:
3232 channel_name = '/'.join(gv_log.split('/')[-5:-1])
3233 log=open(gv_log,'r').read()
3234 UPS_stats = re.search(UPS_stat_finder,log)
3235 for retunit_stats in re.finditer(RetUnit_finder, log):
3236 if channel_name not in stats['UPS'].keys():
3237 stats['UPS'][channel_name] = [0]*10+[[0]*10]
3238 stats['UPS'][channel_name][10][int(retunit_stats.group('unit'))] \
3239 += int(retunit_stats.group('n_occurences'))
3240 if not UPS_stats is None:
3241 try:
3242 stats['UPS'][channel_name][0] += int(UPS_stats.group('ntot'))
3243 stats['UPS'][channel_name][1] += int(UPS_stats.group('nsun'))
3244 stats['UPS'][channel_name][2] += int(UPS_stats.group('nsps'))
3245 stats['UPS'][channel_name][3] += int(UPS_stats.group('nups'))
3246 stats['UPS'][channel_name][4] += int(UPS_stats.group('neps'))
3247 stats['UPS'][channel_name][5] += int(UPS_stats.group('nddp'))
3248 stats['UPS'][channel_name][6] += int(UPS_stats.group('nqdp'))
3249 stats['UPS'][channel_name][7] += int(UPS_stats.group('nini'))
3250 stats['UPS'][channel_name][8] += int(UPS_stats.group('n100'))
3251 stats['UPS'][channel_name][9] += int(UPS_stats.group('n10'))
3252 except KeyError:
3253 stats['UPS'][channel_name] = [int(UPS_stats.group('ntot')),
3254 int(UPS_stats.group('nsun')),int(UPS_stats.group('nsps')),
3255 int(UPS_stats.group('nups')),int(UPS_stats.group('neps')),
3256 int(UPS_stats.group('nddp')),int(UPS_stats.group('nqdp')),
3257 int(UPS_stats.group('nini')),int(UPS_stats.group('n100')),
3258 int(UPS_stats.group('n10')),[0]*10]
3259 debug_msg = ""
3260 if len(stats['UPS'].keys())>0:
3261 nTotPS = sum([chan[0] for chan in stats['UPS'].values()],0)
3262 nTotsun = sum([chan[1] for chan in stats['UPS'].values()],0)
3263 nTotsps = sum([chan[2] for chan in stats['UPS'].values()],0)
3264 nTotups = sum([chan[3] for chan in stats['UPS'].values()],0)
3265 nToteps = sum([chan[4] for chan in stats['UPS'].values()],0)
3266 nTotddp = sum([chan[5] for chan in stats['UPS'].values()],0)
3267 nTotqdp = sum([chan[6] for chan in stats['UPS'].values()],0)
3268 nTotini = sum([chan[7] for chan in stats['UPS'].values()],0)
3269 nTot100 = sum([chan[8] for chan in stats['UPS'].values()],0)
3270 nTot10 = sum([chan[9] for chan in stats['UPS'].values()],0)
3271 nTot1 = [sum([chan[10][i] for chan in stats['UPS'].values()],0) \
3272 for i in range(10)]
3273 UPSfracs = [(chan[0] , 0.0 if chan[1][0]==0 else \
3274 safe_float(chan[1][4]*100)/chan[1][0]) for chan in stats['UPS'].items()]
3275 maxUPS = max(UPSfracs, key = lambda w: w[1])
3276
3277 tmpStr = ""
3278 tmpStr += '\n Number of loop ME evaluations (by MadLoop): %d'%nTotPS
3279 tmpStr += '\n Stability unknown: %d'%nTotsun
3280 tmpStr += '\n Stable PS point: %d'%nTotsps
3281 tmpStr += '\n Unstable PS point (and rescued): %d'%nTotups
3282 tmpStr += '\n Unstable PS point (and not rescued): %d'%nToteps
3283 tmpStr += '\n Only double precision used: %d'%nTotddp
3284 tmpStr += '\n Quadruple precision used: %d'%nTotqdp
3285 tmpStr += '\n Initialization phase-space points: %d'%nTotini
3286 tmpStr += '\n Reduction methods used:'
3287 red_methods = [(unit_code_meaning[i],nTot1[i]) for i in \
3288 unit_code_meaning.keys() if nTot1[i]>0]
3289 for method, n in sorted(red_methods, key= lambda l: l[1], reverse=True):
3290 tmpStr += '\n > %s%s%s'%(method,' '*(33-len(method)),n)
3291 if nTot100 != 0:
3292 debug_msg += '\n Unknown return code (100): %d'%nTot100
3293 if nTot10 != 0:
3294 debug_msg += '\n Unknown return code (10): %d'%nTot10
3295 nUnknownUnit = sum(nTot1[u] for u in range(10) if u \
3296 not in unit_code_meaning.keys())
3297 if nUnknownUnit != 0:
3298 debug_msg += '\n Unknown return code (1): %d'\
3299 %nUnknownUnit
3300
3301 if maxUPS[1]>0.001:
3302 message += tmpStr
3303 message += '\n Total number of unstable PS point detected:'+\
3304 ' %d (%4.2f%%)'%(nToteps,safe_float(100*nToteps)/nTotPS)
3305 message += '\n Maximum fraction of UPS points in '+\
3306 'channel %s (%4.2f%%)'%maxUPS
3307 message += '\n Please report this to the authors while '+\
3308 'providing the file'
3309 message += '\n %s'%str(pjoin(os.path.dirname(self.me_dir),
3310 maxUPS[0],'UPS.log'))
3311 else:
3312 debug_msg += tmpStr
3313
3314
3315
3316
3317
3318
3319 virt_tricks_finder = re.compile(
3320 r"accumulated results Virtual ratio\s*=\s*-?(?P<v_ratio>[\d\+-Eed\.]*)"+\
3321 r"\s*\+/-\s*-?[\d\+-Eed\.]*\s*\(\s*-?(?P<v_ratio_err>[\d\+-Eed\.]*)\s*\%\)\s*\n"+\
3322 r"accumulated results ABS virtual\s*=\s*-?(?P<v_abs_contr>[\d\+-Eed\.]*)"+\
3323 r"\s*\+/-\s*-?[\d\+-Eed\.]*\s*\(\s*-?(?P<v_abs_contr_err>[\d\+-Eed\.]*)\s*\%\)")
3324
3325 virt_frac_finder = re.compile(r"update virtual fraction to\s*:\s*"+\
3326 "-?(?P<v_frac>[\d\+-Eed\.]*)\s*-?(?P<v_average>[\d\+-Eed\.]*)")
3327
3328 channel_contr_finder = re.compile(r"Final result \[ABS\]\s*:\s*-?(?P<v_contr>[\d\+-Eed\.]*)")
3329
3330 channel_contr_list = {}
3331 for gv_log in log_GV_files:
3332 logfile=open(gv_log,'r')
3333 log = logfile.read()
3334 logfile.close()
3335 channel_name = '/'.join(gv_log.split('/')[-3:-1])
3336 vf_stats = None
3337 for vf_stats in re.finditer(virt_frac_finder, log):
3338 pass
3339 if not vf_stats is None:
3340 v_frac = safe_float(vf_stats.group('v_frac'))
3341 v_average = safe_float(vf_stats.group('v_average'))
3342 try:
3343 if v_frac < stats['virt_stats']['v_frac_min'][0]:
3344 stats['virt_stats']['v_frac_min']=(v_frac,channel_name)
3345 if v_frac > stats['virt_stats']['v_frac_max'][0]:
3346 stats['virt_stats']['v_frac_max']=(v_frac,channel_name)
3347 stats['virt_stats']['v_frac_avg'][0] += v_frac
3348 stats['virt_stats']['v_frac_avg'][1] += 1
3349 except KeyError:
3350 stats['virt_stats']['v_frac_min']=[v_frac,channel_name]
3351 stats['virt_stats']['v_frac_max']=[v_frac,channel_name]
3352 stats['virt_stats']['v_frac_avg']=[v_frac,1]
3353
3354
3355 ccontr_stats = None
3356 for ccontr_stats in re.finditer(channel_contr_finder, log):
3357 pass
3358 if not ccontr_stats is None:
3359 contrib = safe_float(ccontr_stats.group('v_contr'))
3360 try:
3361 if contrib>channel_contr_list[channel_name]:
3362 channel_contr_list[channel_name]=contrib
3363 except KeyError:
3364 channel_contr_list[channel_name]=contrib
3365
3366
3367
3368
3369 average_contrib = 0.0
3370 for value in channel_contr_list.values():
3371 average_contrib += value
3372 if len(channel_contr_list.values()) !=0:
3373 average_contrib = average_contrib / len(channel_contr_list.values())
3374
3375 relevant_log_GV_files = []
3376 excluded_channels = set([])
3377 all_channels = set([])
3378 for log_file in log_GV_files:
3379 channel_name = '/'.join(log_file.split('/')[-3:-1])
3380 all_channels.add(channel_name)
3381 try:
3382 if channel_contr_list[channel_name] > (0.1*average_contrib):
3383 relevant_log_GV_files.append(log_file)
3384 else:
3385 excluded_channels.add(channel_name)
3386 except KeyError:
3387 relevant_log_GV_files.append(log_file)
3388
3389
3390 for gv_log in relevant_log_GV_files:
3391 logfile=open(gv_log,'r')
3392 log = logfile.read()
3393 logfile.close()
3394 channel_name = '/'.join(gv_log.split('/')[-3:-1])
3395
3396 vt_stats = None
3397 for vt_stats in re.finditer(virt_tricks_finder, log):
3398 pass
3399 if not vt_stats is None:
3400 vt_stats_group = vt_stats.groupdict()
3401 v_ratio = safe_float(vt_stats.group('v_ratio'))
3402 v_ratio_err = safe_float(vt_stats.group('v_ratio_err'))
3403 v_contr = safe_float(vt_stats.group('v_abs_contr'))
3404 v_contr_err = safe_float(vt_stats.group('v_abs_contr_err'))
3405 try:
3406 if v_ratio < stats['virt_stats']['v_ratio_min'][0]:
3407 stats['virt_stats']['v_ratio_min']=(v_ratio,channel_name)
3408 if v_ratio > stats['virt_stats']['v_ratio_max'][0]:
3409 stats['virt_stats']['v_ratio_max']=(v_ratio,channel_name)
3410 if v_ratio < stats['virt_stats']['v_ratio_err_min'][0]:
3411 stats['virt_stats']['v_ratio_err_min']=(v_ratio_err,channel_name)
3412 if v_ratio > stats['virt_stats']['v_ratio_err_max'][0]:
3413 stats['virt_stats']['v_ratio_err_max']=(v_ratio_err,channel_name)
3414 if v_contr < stats['virt_stats']['v_contr_min'][0]:
3415 stats['virt_stats']['v_contr_min']=(v_contr,channel_name)
3416 if v_contr > stats['virt_stats']['v_contr_max'][0]:
3417 stats['virt_stats']['v_contr_max']=(v_contr,channel_name)
3418 if v_contr_err < stats['virt_stats']['v_contr_err_min'][0]:
3419 stats['virt_stats']['v_contr_err_min']=(v_contr_err,channel_name)
3420 if v_contr_err > stats['virt_stats']['v_contr_err_max'][0]:
3421 stats['virt_stats']['v_contr_err_max']=(v_contr_err,channel_name)
3422 except KeyError:
3423 stats['virt_stats']['v_ratio_min']=[v_ratio,channel_name]
3424 stats['virt_stats']['v_ratio_max']=[v_ratio,channel_name]
3425 stats['virt_stats']['v_ratio_err_min']=[v_ratio_err,channel_name]
3426 stats['virt_stats']['v_ratio_err_max']=[v_ratio_err,channel_name]
3427 stats['virt_stats']['v_contr_min']=[v_contr,channel_name]
3428 stats['virt_stats']['v_contr_max']=[v_contr,channel_name]
3429 stats['virt_stats']['v_contr_err_min']=[v_contr_err,channel_name]
3430 stats['virt_stats']['v_contr_err_max']=[v_contr_err,channel_name]
3431
3432 vf_stats = None
3433 for vf_stats in re.finditer(virt_frac_finder, log):
3434 pass
3435 if not vf_stats is None:
3436 v_frac = safe_float(vf_stats.group('v_frac'))
3437 v_average = safe_float(vf_stats.group('v_average'))
3438 try:
3439 if v_average < stats['virt_stats']['v_average_min'][0]:
3440 stats['virt_stats']['v_average_min']=(v_average,channel_name)
3441 if v_average > stats['virt_stats']['v_average_max'][0]:
3442 stats['virt_stats']['v_average_max']=(v_average,channel_name)
3443 stats['virt_stats']['v_average_avg'][0] += v_average
3444 stats['virt_stats']['v_average_avg'][1] += 1
3445 except KeyError:
3446 stats['virt_stats']['v_average_min']=[v_average,channel_name]
3447 stats['virt_stats']['v_average_max']=[v_average,channel_name]
3448 stats['virt_stats']['v_average_avg']=[v_average,1]
3449
3450 try:
3451 debug_msg += '\n\n Statistics on virtual integration optimization : '
3452
3453 debug_msg += '\n Maximum virt fraction computed %.3f (%s)'\
3454 %tuple(stats['virt_stats']['v_frac_max'])
3455 debug_msg += '\n Minimum virt fraction computed %.3f (%s)'\
3456 %tuple(stats['virt_stats']['v_frac_min'])
3457 debug_msg += '\n Average virt fraction computed %.3f'\
3458 %safe_float(stats['virt_stats']['v_frac_avg'][0]/safe_float(stats['virt_stats']['v_frac_avg'][1]))
3459 debug_msg += '\n Stats below exclude negligible channels (%d excluded out of %d)'%\
3460 (len(excluded_channels),len(all_channels))
3461 debug_msg += '\n Maximum virt ratio used %.2f (%s)'\
3462 %tuple(stats['virt_stats']['v_average_max'])
3463 debug_msg += '\n Maximum virt ratio found from grids %.2f (%s)'\
3464 %tuple(stats['virt_stats']['v_ratio_max'])
3465 tmpStr = '\n Max. MC err. on virt ratio from grids %.1f %% (%s)'\
3466 %tuple(stats['virt_stats']['v_ratio_err_max'])
3467 debug_msg += tmpStr
3468
3469
3470
3471
3472
3473
3474
3475
3476 tmpStr = '\n Maximum MC error on abs virt %.1f %% (%s)'\
3477 %tuple(stats['virt_stats']['v_contr_err_max'])
3478 debug_msg += tmpStr
3479
3480
3481
3482
3483 except KeyError:
3484 debug_msg += '\n Could not find statistics on the integration optimization. '
3485
3486
3487
3488
3489
3490 timing_stat_finder = re.compile(r"\s*Time spent in\s*(?P<name>\w*)\s*:\s*"+\
3491 "(?P<time>[\d\+-Eed\.]*)\s*")
3492
3493 for logf in log_GV_files:
3494 logfile=open(logf,'r')
3495 log = logfile.read()
3496 logfile.close()
3497 channel_name = '/'.join(logf.split('/')[-3:-1])
3498 mint = re.search(mint_search,logf)
3499 if not mint is None:
3500 channel_name = channel_name+' [step %s]'%mint.group('ID')
3501
3502 for time_stats in re.finditer(timing_stat_finder, log):
3503 try:
3504 stats['timings'][time_stats.group('name')][channel_name]+=\
3505 safe_float(time_stats.group('time'))
3506 except KeyError:
3507 if time_stats.group('name') not in stats['timings'].keys():
3508 stats['timings'][time_stats.group('name')] = {}
3509 stats['timings'][time_stats.group('name')][channel_name]=\
3510 safe_float(time_stats.group('time'))
3511
3512
3513 Tstr = lambda secs: str(datetime.timedelta(seconds=int(secs)))
3514 try:
3515 totTimeList = [(time, chan) for chan, time in \
3516 stats['timings']['Total'].items()]
3517 except KeyError:
3518 totTimeList = []
3519
3520 totTimeList.sort()
3521 if len(totTimeList)>0:
3522 debug_msg += '\n\n Inclusive timing profile :'
3523 debug_msg += '\n Overall slowest channel %s (%s)'%\
3524 (Tstr(totTimeList[-1][0]),totTimeList[-1][1])
3525 debug_msg += '\n Average channel running time %s'%\
3526 Tstr(sum([el[0] for el in totTimeList])/len(totTimeList))
3527 debug_msg += '\n Aggregated total running time %s'%\
3528 Tstr(sum([el[0] for el in totTimeList]))
3529 else:
3530 debug_msg += '\n\n Inclusive timing profile non available.'
3531
3532 sorted_keys = sorted(stats['timings'].keys(), key= lambda stat: \
3533 sum(stats['timings'][stat].values()), reverse=True)
3534 for name in sorted_keys:
3535 if name=='Total':
3536 continue
3537 if sum(stats['timings'][name].values())<=0.0:
3538 debug_msg += '\n Zero time record for %s.'%name
3539 continue
3540 try:
3541 TimeList = [((100.0*time/stats['timings']['Total'][chan]),
3542 chan) for chan, time in stats['timings'][name].items()]
3543 except KeyError, ZeroDivisionError:
3544 debug_msg += '\n\n Timing profile for %s unavailable.'%name
3545 continue
3546 TimeList.sort()
3547 debug_msg += '\n Timing profile for <%s> :'%name
3548 try:
3549 debug_msg += '\n Overall fraction of time %.3f %%'%\
3550 safe_float((100.0*(sum(stats['timings'][name].values())/
3551 sum(stats['timings']['Total'].values()))))
3552 except KeyError, ZeroDivisionError:
3553 debug_msg += '\n Overall fraction of time unavailable.'
3554 debug_msg += '\n Largest fraction of time %.3f %% (%s)'%\
3555 (TimeList[-1][0],TimeList[-1][1])
3556 debug_msg += '\n Smallest fraction of time %.3f %% (%s)'%\
3557 (TimeList[0][0],TimeList[0][1])
3558
3559
3560
3561
3562
3563
3564
3565
3566
3567
3568 err_finder = re.compile(\
3569 r"(?<!of\spaper\sfor\s)\bERROR\b(?!\scalculation\.)",re.IGNORECASE)
3570 for log in all_log_files:
3571 logfile=open(log,'r')
3572 nErrors = len(re.findall(err_finder, logfile.read()))
3573 logfile.close()
3574 if nErrors != 0:
3575 stats['Errors'].append((str(log),nErrors))
3576
3577 nErrors = sum([err[1] for err in stats['Errors']],0)
3578 if nErrors != 0:
3579 debug_msg += '\n WARNING:: A total of %d error%s ha%s been '\
3580 %(nErrors,'s' if nErrors>1 else '','ve' if nErrors>1 else 's')+\
3581 'found in the following log file%s:'%('s' if \
3582 len(stats['Errors'])>1 else '')
3583 for error in stats['Errors'][:3]:
3584 log_name = '/'.join(error[0].split('/')[-5:])
3585 debug_msg += '\n > %d error%s in %s'%\
3586 (error[1],'s' if error[1]>1 else '',log_name)
3587 if len(stats['Errors'])>3:
3588 nRemainingErrors = sum([err[1] for err in stats['Errors']][3:],0)
3589 nRemainingLogs = len(stats['Errors'])-3
3590 debug_msg += '\n And another %d error%s in %d other log file%s'%\
3591 (nRemainingErrors, 's' if nRemainingErrors>1 else '',
3592 nRemainingLogs, 's ' if nRemainingLogs>1 else '')
3593
3594 return message, debug_msg
3595
3596
3598 """this function calls the reweighting routines and creates the event file in the
3599 Event dir. Return the name of the event file created
3600 """
3601 scale_pdf_info=[]
3602 if any(self.run_card['reweight_scale']) or any(self.run_card['reweight_PDF']) or \
3603 len(self.run_card['dynamical_scale_choice']) > 1 or len(self.run_card['lhaid']) > 1:
3604 scale_pdf_info = self.run_reweight(options['reweightonly'])
3605 self.update_status('Collecting events', level='parton', update_results=True)
3606 misc.compile(['collect_events'],
3607 cwd=pjoin(self.me_dir, 'SubProcesses'), nocompile=options['nocompile'])
3608 p = misc.Popen(['./collect_events'], cwd=pjoin(self.me_dir, 'SubProcesses'),
3609 stdin=subprocess.PIPE,
3610 stdout=open(pjoin(self.me_dir, 'collect_events.log'), 'w'))
3611 if event_norm.lower() == 'sum':
3612 p.communicate(input = '1\n')
3613 elif event_norm.lower() == 'unity':
3614 p.communicate(input = '3\n')
3615 elif event_norm.lower() == 'bias':
3616 p.communicate(input = '0\n')
3617 else:
3618 p.communicate(input = '2\n')
3619
3620
3621 filename = open(pjoin(self.me_dir, 'collect_events.log')).read().split()[-1]
3622
3623 if not os.path.exists(pjoin(self.me_dir, 'SubProcesses', filename)):
3624 raise aMCatNLOError('An error occurred during event generation. ' + \
3625 'The event file has not been created. Check collect_events.log')
3626 evt_file = pjoin(self.me_dir, 'Events', self.run_name, 'events.lhe.gz')
3627 misc.gzip(pjoin(self.me_dir, 'SubProcesses', filename), stdout=evt_file)
3628 if not options['reweightonly']:
3629 self.print_summary(options, 2, mode, scale_pdf_info)
3630 res_files = misc.glob('res*.txt', pjoin(self.me_dir, 'SubProcesses'))
3631 for res_file in res_files:
3632 files.mv(res_file,pjoin(self.me_dir, 'Events', self.run_name))
3633
3634 logger.info('The %s file has been generated.\n' % (evt_file))
3635 self.results.add_detail('nb_event', nevents)
3636 self.update_status('Events generated', level='parton', update_results=True)
3637 return evt_file[:-3]
3638
3639
3641 """runs mcatnlo on the generated event file, to produce showered-events
3642 """
3643 logger.info('Preparing MCatNLO run')
3644 try:
3645 misc.gunzip(evt_file)
3646 except Exception:
3647 pass
3648
3649 self.banner = banner_mod.Banner(evt_file)
3650 shower = self.banner.get_detail('run_card', 'parton_shower').upper()
3651
3652
3653
3654 if int(self.banner.get_detail('run_card', 'nevents') / \
3655 self.shower_card['nsplit_jobs']) * self.shower_card['nsplit_jobs'] \
3656 != self.banner.get_detail('run_card', 'nevents'):
3657 logger.warning(\
3658 'nsplit_jobs in the shower card is not a divisor of the number of events.\n' + \
3659 'Setting it to 1.')
3660 self.shower_card['nsplit_jobs'] = 1
3661
3662
3663 if self.shower_card['nevents'] > 0 and \
3664 self.shower_card['nevents'] < self.banner.get_detail('run_card', 'nevents') and \
3665 self.shower_card['nsplit_jobs'] != 1:
3666 logger.warning(\
3667 'Only a part of the events will be showered.\n' + \
3668 'Setting nsplit_jobs in the shower_card to 1.')
3669 self.shower_card['nsplit_jobs'] = 1
3670
3671 self.banner_to_mcatnlo(evt_file)
3672
3673
3674
3675
3676 if 'fastjet' in self.shower_card['extralibs']:
3677
3678 if not 'stdc++' in self.shower_card['extralibs']:
3679 logger.warning('Linking FastJet: adding stdc++ to EXTRALIBS')
3680 self.shower_card['extralibs'] += ' stdc++'
3681
3682 try:
3683
3684 p = subprocess.Popen([self.options['fastjet'], '--prefix'], \
3685 stdout=subprocess.PIPE, stderr=subprocess.PIPE)
3686 output, error = p.communicate()
3687
3688 output = output[:-1]
3689
3690 if not pjoin(output, 'lib') in self.shower_card['extrapaths']:
3691 logger.warning('Linking FastJet: updating EXTRAPATHS')
3692 self.shower_card['extrapaths'] += ' ' + pjoin(output, 'lib')
3693 if not pjoin(output, 'include') in self.shower_card['includepaths']:
3694 logger.warning('Linking FastJet: updating INCLUDEPATHS')
3695 self.shower_card['includepaths'] += ' ' + pjoin(output, 'include')
3696
3697 include_line = '#include "fastjet/ClusterSequence.hh"//INCLUDE_FJ'
3698 namespace_line = 'namespace fj = fastjet;//NAMESPACE_FJ'
3699 except Exception:
3700 logger.warning('Linking FastJet: using fjcore')
3701
3702 self.shower_card['extralibs'] = self.shower_card['extralibs'].replace('fastjet', '')
3703 if not 'fjcore.o' in self.shower_card['analyse']:
3704 self.shower_card['analyse'] += ' fjcore.o'
3705
3706 include_line = '#include "fjcore.hh"//INCLUDE_FJ'
3707 namespace_line = 'namespace fj = fjcore;//NAMESPACE_FJ'
3708
3709 fjwrapper_lines = open(pjoin(self.me_dir, 'MCatNLO', 'srcCommon', 'myfastjetfortran.cc')).read().split('\n')
3710 for line in fjwrapper_lines:
3711 if '//INCLUDE_FJ' in line:
3712 fjwrapper_lines[fjwrapper_lines.index(line)] = include_line
3713 if '//NAMESPACE_FJ' in line:
3714 fjwrapper_lines[fjwrapper_lines.index(line)] = namespace_line
3715 with open(pjoin(self.me_dir, 'MCatNLO', 'srcCommon', 'myfastjetfortran.cc'), 'w') as fsock:
3716 fsock.write('\n'.join(fjwrapper_lines) + '\n')
3717
3718 extrapaths = self.shower_card['extrapaths'].split()
3719
3720
3721 if shower in ['HERWIGPP', 'PYTHIA8']:
3722 path_dict = {'HERWIGPP': ['hepmc_path',
3723 'thepeg_path',
3724 'hwpp_path'],
3725 'PYTHIA8': ['pythia8_path']}
3726
3727 if not all([self.options[ppath] and os.path.exists(self.options[ppath]) for ppath in path_dict[shower]]):
3728 raise aMCatNLOError('Some paths are missing or invalid in the configuration file.\n' + \
3729 ('Please make sure you have set these variables: %s' % ', '.join(path_dict[shower])))
3730
3731 if shower == 'HERWIGPP':
3732 extrapaths.append(pjoin(self.options['hepmc_path'], 'lib'))
3733 self.shower_card['extrapaths'] += ' %s' % pjoin(self.options['hepmc_path'], 'lib')
3734
3735
3736 if shower == 'PYTHIA8':
3737 hepmc = subprocess.Popen([pjoin(self.options['pythia8_path'], 'bin', 'pythia8-config'), '--hepmc2'],
3738 stdout = subprocess.PIPE).stdout.read().strip()
3739
3740
3741
3742 extrapaths.append(hepmc.split()[1].replace('-L', ''))
3743
3744 if shower == 'PYTHIA8' and not os.path.exists(pjoin(self.options['pythia8_path'], 'xmldoc')):
3745 extrapaths.append(pjoin(self.options['pythia8_path'], 'lib'))
3746
3747
3748 if sys.platform == 'darwin':
3749 ld_library_path = 'DYLD_LIBRARY_PATH'
3750 else:
3751 ld_library_path = 'LD_LIBRARY_PATH'
3752 if ld_library_path in os.environ.keys():
3753 paths = os.environ[ld_library_path]
3754 else:
3755 paths = ''
3756 paths += ':' + ':'.join(extrapaths)
3757 os.putenv(ld_library_path, paths)
3758
3759 shower_card_path = pjoin(self.me_dir, 'MCatNLO', 'shower_card.dat')
3760 self.shower_card.write_card(shower, shower_card_path)
3761
3762
3763 if os.path.exists(pjoin(self.me_dir, 'MCatNLO', 'shower_card_set.dat')):
3764 files.mv(pjoin(self.me_dir, 'MCatNLO', 'shower_card_set.dat'),
3765 pjoin(self.me_dir, 'MCatNLO', 'shower_card.dat'))
3766
3767 mcatnlo_log = pjoin(self.me_dir, 'mcatnlo.log')
3768 self.update_status('Compiling MCatNLO for %s...' % shower, level='shower')
3769
3770
3771
3772
3773
3774
3775
3776
3777
3778
3779
3780
3781 misc.call(['./MCatNLO_MadFKS.inputs'], stdout=open(mcatnlo_log, 'w'),
3782 stderr=open(mcatnlo_log, 'w'),
3783 cwd=pjoin(self.me_dir, 'MCatNLO'),
3784 close_fds=True)
3785
3786 exe = 'MCATNLO_%s_EXE' % shower
3787 if not os.path.exists(pjoin(self.me_dir, 'MCatNLO', exe)) and \
3788 not os.path.exists(pjoin(self.me_dir, 'MCatNLO', 'Pythia8.exe')):
3789 print open(mcatnlo_log).read()
3790 raise aMCatNLOError('Compilation failed, check %s for details' % mcatnlo_log)
3791 logger.info(' ... done')
3792
3793
3794 count = 1
3795 while os.path.isdir(pjoin(self.me_dir, 'MCatNLO', 'RUN_%s_%d' % \
3796 (shower, count))):
3797 count += 1
3798 rundir = pjoin(self.me_dir, 'MCatNLO', 'RUN_%s_%d' % \
3799 (shower, count))
3800 os.mkdir(rundir)
3801 files.cp(shower_card_path, rundir)
3802
3803
3804
3805 event_files = misc.glob('events_*.lhe', pjoin(self.me_dir, 'Events', self.run_name))
3806 if max(len(event_files), 1) != self.shower_card['nsplit_jobs']:
3807 logger.info('Cleaning old files and splitting the event file...')
3808
3809 files.rm([f for f in event_files if 'events.lhe' not in f])
3810 if self.shower_card['nsplit_jobs'] > 1:
3811 misc.compile(['split_events'], cwd = pjoin(self.me_dir, 'Utilities'), nocompile=options['nocompile'])
3812 p = misc.Popen([pjoin(self.me_dir, 'Utilities', 'split_events')],
3813 stdin=subprocess.PIPE,
3814 stdout=open(pjoin(self.me_dir, 'Events', self.run_name, 'split_events.log'), 'w'),
3815 cwd=pjoin(self.me_dir, 'Events', self.run_name))
3816 p.communicate(input = 'events.lhe\n%d\n' % self.shower_card['nsplit_jobs'])
3817 logger.info('Splitting done.')
3818 event_files = misc.glob('events_*.lhe', pjoin(self.me_dir, 'Events', self.run_name))
3819
3820 event_files.sort()
3821
3822 self.update_status('Showering events...', level='shower')
3823 logger.info('(Running in %s)' % rundir)
3824 if shower != 'PYTHIA8':
3825 files.mv(pjoin(self.me_dir, 'MCatNLO', exe), rundir)
3826 files.mv(pjoin(self.me_dir, 'MCatNLO', 'MCATNLO_%s_input' % shower), rundir)
3827 else:
3828
3829 files.mv(pjoin(self.me_dir, 'MCatNLO', 'Pythia8.cmd'), rundir)
3830 files.mv(pjoin(self.me_dir, 'MCatNLO', 'Pythia8.exe'), rundir)
3831 if os.path.exists(pjoin(self.options['pythia8_path'], 'xmldoc')):
3832 files.ln(pjoin(self.options['pythia8_path'], 'examples', 'config.sh'), rundir)
3833 files.ln(pjoin(self.options['pythia8_path'], 'xmldoc'), rundir)
3834 else:
3835 files.ln(pjoin(self.options['pythia8_path'], 'share/Pythia8/xmldoc'), rundir)
3836
3837 if shower == 'HERWIGPP':
3838 try:
3839 if os.path.exists(pjoin(self.options['hwpp_path'], 'bin', 'Herwig++')):
3840 files.ln(pjoin(self.options['hwpp_path'], 'bin', 'Herwig++'), rundir)
3841 if os.path.exists(pjoin(self.options['hwpp_path'], 'bin', 'Herwig')):
3842 files.ln(pjoin(self.options['hwpp_path'], 'bin', 'Herwig'), rundir)
3843 except Exception:
3844 raise aMCatNLOError('The Herwig++ path set in the configuration file is not valid.')
3845
3846 if os.path.exists(pjoin(self.me_dir, 'MCatNLO', 'HWPPAnalyzer', 'HepMCFortran.so')):
3847 files.cp(pjoin(self.me_dir, 'MCatNLO', 'HWPPAnalyzer', 'HepMCFortran.so'), rundir)
3848
3849 files.ln(evt_file, rundir, 'events.lhe')
3850 for i, f in enumerate(event_files):
3851 files.ln(f, rundir,'events_%d.lhe' % (i + 1))
3852
3853 if not self.shower_card['analyse']:
3854
3855 out_id = 'HEP'
3856 else:
3857
3858 if "HwU" in self.shower_card['analyse']:
3859 out_id = 'HWU'
3860 else:
3861 out_id = 'TOP'
3862
3863
3864 with open(pjoin(rundir, 'shower.sh'), 'w') as fsock:
3865
3866 if sys.platform == 'darwin':
3867 ld_library_path = 'DYLD_LIBRARY_PATH'
3868 else:
3869 ld_library_path = 'LD_LIBRARY_PATH'
3870 fsock.write(open(pjoin(self.me_dir, 'MCatNLO', 'shower_template.sh')).read() \
3871 % {'ld_library_path': ld_library_path,
3872 'extralibs': ':'.join(extrapaths)})
3873 subprocess.call(['chmod', '+x', pjoin(rundir, 'shower.sh')])
3874
3875 if event_files:
3876 arg_list = [[shower, out_id, self.run_name, '%d' % (i + 1)] \
3877 for i in range(len(event_files))]
3878 else:
3879 arg_list = [[shower, out_id, self.run_name]]
3880
3881 self.run_all({rundir: 'shower.sh'}, arg_list, 'shower')
3882 self.njobs = 1
3883 self.wait_for_complete('shower')
3884
3885
3886 message = ''
3887 warning = ''
3888 to_gzip = [evt_file]
3889 if out_id == 'HEP':
3890
3891 if shower in ['PYTHIA8', 'HERWIGPP']:
3892 hep_format = 'HEPMC'
3893 ext = 'hepmc'
3894 else:
3895 hep_format = 'StdHEP'
3896 ext = 'hep'
3897
3898 hep_file = '%s_%s_0.%s.gz' % \
3899 (pjoin(os.path.dirname(evt_file), 'events'), shower, ext)
3900 count = 0
3901
3902
3903
3904 while os.path.exists(hep_file) or \
3905 os.path.exists(hep_file.replace('.%s.gz' % ext, '__1.%s.gz' % ext)) :
3906 count +=1
3907 hep_file = '%s_%s_%d.%s.gz' % \
3908 (pjoin(os.path.dirname(evt_file), 'events'), shower, count, ext)
3909
3910 try:
3911 if self.shower_card['nsplit_jobs'] == 1:
3912 files.mv(os.path.join(rundir, 'events.%s.gz' % ext), hep_file)
3913 message = ('The file %s has been generated. \nIt contains showered' + \
3914 ' and hadronized events in the %s format obtained' + \
3915 ' showering the parton-level event file %s.gz with %s') % \
3916 (hep_file, hep_format, evt_file, shower)
3917 else:
3918 hep_list = []
3919 for i in range(self.shower_card['nsplit_jobs']):
3920 hep_list.append(hep_file.replace('.%s.gz' % ext, '__%d.%s.gz' % (i + 1, ext)))
3921 files.mv(os.path.join(rundir, 'events_%d.%s.gz' % (i + 1, ext)), hep_list[-1])
3922 message = ('The following files have been generated:\n %s\nThey contain showered' + \
3923 ' and hadronized events in the %s format obtained' + \
3924 ' showering the (split) parton-level event file %s.gz with %s') % \
3925 ('\n '.join(hep_list), hep_format, evt_file, shower)
3926
3927 except OSError, IOError:
3928 raise aMCatNLOError('No file has been generated, an error occurred.'+\
3929 ' More information in %s' % pjoin(os.getcwd(), 'amcatnlo_run.log'))
3930
3931
3932 if hep_format == 'StdHEP':
3933 try:
3934 self.do_plot('%s -f' % self.run_name)
3935 except Exception, error:
3936 logger.info("Fail to make the plot. Continue...")
3937 pass
3938
3939 elif out_id == 'TOP' or out_id == 'HWU':
3940
3941 if out_id=='TOP':
3942 ext='top'
3943 elif out_id=='HWU':
3944 ext='HwU'
3945 topfiles = []
3946 top_tars = [tarfile.TarFile(f) for f in misc.glob('histfile*.tar', rundir)]
3947 for top_tar in top_tars:
3948 topfiles.extend(top_tar.getnames())
3949
3950
3951 if len(top_tars) != self.shower_card['nsplit_jobs']:
3952 raise aMCatNLOError('%d job(s) expected, %d file(s) found' % \
3953 (self.shower_card['nsplit_jobs'], len(top_tars)))
3954
3955
3956
3957 filename = 'plot_%s_%d_' % (shower, 1)
3958 count = 1
3959 while os.path.exists(pjoin(self.me_dir, 'Events',
3960 self.run_name, '%s0.%s' % (filename,ext))) or \
3961 os.path.exists(pjoin(self.me_dir, 'Events',
3962 self.run_name, '%s0__1.%s' % (filename,ext))):
3963 count += 1
3964 filename = 'plot_%s_%d_' % (shower, count)
3965
3966 if out_id=='TOP':
3967 hist_format='TopDrawer format'
3968 elif out_id=='HWU':
3969 hist_format='HwU and GnuPlot formats'
3970
3971 if not topfiles:
3972
3973 warning = 'No .top file has been generated. For the results of your ' +\
3974 'run, please check inside %s' % rundir
3975 elif self.shower_card['nsplit_jobs'] == 1:
3976
3977 top_tars[0].extractall(path = rundir)
3978 plotfiles = []
3979 for i, file in enumerate(topfiles):
3980 if out_id=='TOP':
3981 plotfile = pjoin(self.me_dir, 'Events', self.run_name,
3982 '%s%d.top' % (filename, i))
3983 files.mv(pjoin(rundir, file), plotfile)
3984 elif out_id=='HWU':
3985 out=pjoin(self.me_dir,'Events',
3986 self.run_name,'%s%d'% (filename,i))
3987 histos=[{'dirname':pjoin(rundir,file)}]
3988 self.combine_plots_HwU(histos,out)
3989 try:
3990 misc.call(['gnuplot','%s%d.gnuplot' % (filename,i)],\
3991 stdout=os.open(os.devnull, os.O_RDWR),\
3992 stderr=os.open(os.devnull, os.O_RDWR),\
3993 cwd=pjoin(self.me_dir, 'Events', self.run_name))
3994 except Exception:
3995 pass
3996 plotfile=pjoin(self.me_dir,'Events',self.run_name,
3997 '%s%d.HwU'% (filename,i))
3998 plotfiles.append(plotfile)
3999
4000 ffiles = 'files'
4001 have = 'have'
4002 if len(plotfiles) == 1:
4003 ffiles = 'file'
4004 have = 'has'
4005
4006 message = ('The %s %s %s been generated, with histograms in the' + \
4007 ' %s, obtained by showering the parton-level' + \
4008 ' file %s.gz with %s.') % (ffiles, ', '.join(plotfiles), have, \
4009 hist_format, evt_file, shower)
4010 else:
4011
4012 topfiles_set = set(topfiles)
4013 plotfiles = []
4014 for j, top_tar in enumerate(top_tars):
4015 top_tar.extractall(path = rundir)
4016 for i, file in enumerate(topfiles_set):
4017 plotfile = pjoin(self.me_dir, 'Events', self.run_name,
4018 '%s%d__%d.%s' % (filename, i, j + 1,ext))
4019 files.mv(pjoin(rundir, file), plotfile)
4020 plotfiles.append(plotfile)
4021
4022
4023 if self.shower_card['combine_td']:
4024 misc.compile(['sum_plots'], cwd = pjoin(self.me_dir, 'Utilities'))
4025
4026 if self.banner.get('run_card', 'event_norm').lower() == 'sum':
4027 norm = 1.
4028 else:
4029 norm = 1./float(self.shower_card['nsplit_jobs'])
4030
4031 plotfiles2 = []
4032 for i, file in enumerate(topfiles_set):
4033 filelist = ['%s%d__%d.%s' % (filename, i, j + 1,ext) \
4034 for j in range(self.shower_card['nsplit_jobs'])]
4035 if out_id=='TOP':
4036 infile="%d\n%s\n%s\n" % \
4037 (self.shower_card['nsplit_jobs'],
4038 '\n'.join(filelist),
4039 '\n'.join([str(norm)] * self.shower_card['nsplit_jobs']))
4040 p = misc.Popen([pjoin(self.me_dir, 'Utilities', 'sum_plots')],
4041 stdin=subprocess.PIPE,
4042 stdout=os.open(os.devnull, os.O_RDWR),
4043 cwd=pjoin(self.me_dir, 'Events', self.run_name))
4044 p.communicate(input = infile)
4045 files.mv(pjoin(self.me_dir, 'Events', self.run_name, 'sum.top'),
4046 pjoin(self.me_dir, 'Events', self.run_name, '%s%d.top' % (filename, i)))
4047 elif out_id=='HWU':
4048 out=pjoin(self.me_dir,'Events',
4049 self.run_name,'%s%d'% (filename,i))
4050 histos=[]
4051 norms=[]
4052 for plotfile in plotfiles:
4053 histos.append({'dirname':plotfile})
4054 norms.append(norm)
4055 self.combine_plots_HwU(histos,out,normalisation=norms)
4056 try:
4057 misc.call(['gnuplot','%s%d.gnuplot' % (filename, i)],\
4058 stdout=os.open(os.devnull, os.O_RDWR),\
4059 stderr=os.open(os.devnull, os.O_RDWR),\
4060 cwd=pjoin(self.me_dir, 'Events',self.run_name))
4061 except Exception:
4062 pass
4063
4064 plotfiles2.append(pjoin(self.me_dir, 'Events', self.run_name, '%s%d.%s' % (filename, i,ext)))
4065 tar = tarfile.open(
4066 pjoin(self.me_dir, 'Events', self.run_name, '%s%d.tar.gz' % (filename, i)), 'w:gz')
4067 for f in filelist:
4068 tar.add(pjoin(self.me_dir, 'Events', self.run_name, f), arcname=f)
4069 files.rm([pjoin(self.me_dir, 'Events', self.run_name, f) for f in filelist])
4070
4071 tar.close()
4072
4073 ffiles = 'files'
4074 have = 'have'
4075 if len(plotfiles2) == 1:
4076 ffiles = 'file'
4077 have = 'has'
4078
4079 message = ('The %s %s %s been generated, with histograms in the' + \
4080 ' %s, obtained by showering the parton-level' + \
4081 ' file %s.gz with %s.\n' + \
4082 'The files from the different shower ' + \
4083 'jobs (before combining them) can be found inside %s.') % \
4084 (ffiles, ', '.join(plotfiles2), have, hist_format,\
4085 evt_file, shower,
4086 ', '.join([f.replace('%s' % ext, 'tar.gz') for f in plotfiles2]))
4087
4088 else:
4089 message = ('The following files have been generated:\n %s\n' + \
4090 'They contain histograms in the' + \
4091 ' %s, obtained by showering the parton-level' + \
4092 ' file %s.gz with %s.') % ('\n '.join(plotfiles), \
4093 hist_format, evt_file, shower)
4094
4095
4096 run_dir_path = pjoin(rundir, self.run_name)
4097 if os.path.exists(pjoin(run_dir_path,'RunMaterial.tar.gz')):
4098 misc.call(['tar','-xzpf','RunMaterial.tar.gz'],cwd=run_dir_path)
4099 files.cp(pjoin(self.me_dir,'Cards','shower_card.dat'),
4100 pjoin(run_dir_path,'RunMaterial','shower_card_for_%s_%d.dat'\
4101 %(shower, count)))
4102 misc.call(['tar','-czpf','RunMaterial.tar.gz','RunMaterial'],
4103 cwd=run_dir_path)
4104 shutil.rmtree(pjoin(run_dir_path,'RunMaterial'))
4105
4106 for f in to_gzip:
4107 misc.gzip(f)
4108 if message:
4109 logger.info(message)
4110 if warning:
4111 logger.warning(warning)
4112
4113 self.update_status('Run complete', level='shower', update_results=True)
4114
4115
4116 - def set_run_name(self, name, tag=None, level='parton', reload_card=False):
4117 """define the run name, the run_tag, the banner and the results."""
4118
4119
4120 upgrade_tag = {'parton': ['parton','delphes','shower','madanalysis5_hadron'],
4121 'shower': ['shower','delphes','madanalysis5_hadron'],
4122 'delphes':['delphes'],
4123 'madanalysis5_hadron':['madanalysis5_hadron'],
4124 'plot':[]}
4125
4126 if name == self.run_name:
4127 if reload_card:
4128 run_card = pjoin(self.me_dir, 'Cards','run_card.dat')
4129 self.run_card = banner_mod.RunCardNLO(run_card)
4130
4131
4132 if tag:
4133 self.run_card['run_tag'] = tag
4134 self.run_tag = tag
4135 self.results.add_run(self.run_name, self.run_card)
4136 else:
4137 for tag in upgrade_tag[level]:
4138 if getattr(self.results[self.run_name][-1], tag):
4139 tag = self.get_available_tag()
4140 self.run_card['run_tag'] = tag
4141 self.run_tag = tag
4142 self.results.add_run(self.run_name, self.run_card)
4143 break
4144 return
4145
4146
4147 if self.run_name:
4148 self.store_result()
4149
4150 self.run_name = name
4151
4152
4153 run_card = pjoin(self.me_dir, 'Cards','run_card.dat')
4154 self.run_card = banner_mod.RunCardNLO(run_card)
4155
4156 new_tag = False
4157
4158 self.banner = banner_mod.recover_banner(self.results, level, self.run_name, tag)
4159 if 'mgruncard' in self.banner:
4160 self.run_card = self.banner.charge_card('run_card')
4161 if tag:
4162 self.run_card['run_tag'] = tag
4163 new_tag = True
4164 elif not self.run_name in self.results and level =='parton':
4165 pass
4166 elif not self.run_name in self.results:
4167
4168 logger.warning('Trying to run data on unknown run.')
4169 self.results.add_run(name, self.run_card)
4170 self.results.update('add run %s' % name, 'all', makehtml=True)
4171 else:
4172 for tag in upgrade_tag[level]:
4173
4174 if getattr(self.results[self.run_name][-1], tag):
4175
4176 tag = self.get_available_tag()
4177 self.run_card['run_tag'] = tag
4178 new_tag = True
4179 break
4180 if not new_tag:
4181
4182 tag = self.results[self.run_name][-1]['tag']
4183 self.run_card['run_tag'] = tag
4184
4185
4186 if name in self.results and not new_tag:
4187 self.results.def_current(self.run_name)
4188 else:
4189 self.results.add_run(self.run_name, self.run_card)
4190
4191 self.run_tag = self.run_card['run_tag']
4192
4193
4194
4195 if level == 'parton':
4196 return
4197 elif level == 'pythia':
4198 return self.results[self.run_name][0]['tag']
4199 else:
4200 for i in range(-1,-len(self.results[self.run_name])-1,-1):
4201 tagRun = self.results[self.run_name][i]
4202 if tagRun.pythia:
4203 return tagRun['tag']
4204
4205
4207 """ tar the pythia results. This is done when we are quite sure that
4208 the pythia output will not be use anymore """
4209
4210 if not self.run_name:
4211 return
4212
4213 self.results.save()
4214
4215 if not self.to_store:
4216 return
4217
4218 if 'event' in self.to_store:
4219 if os.path.exists(pjoin(self.me_dir,'Events', self.run_name, 'events.lhe')):
4220 if not os.path.exists(pjoin(self.me_dir,'Events', self.run_name, 'events.lhe.gz')):
4221 self.update_status('gzipping output file: events.lhe', level='parton', error=True)
4222 misc.gzip(pjoin(self.me_dir,'Events', self.run_name, 'events.lhe'))
4223 else:
4224 os.remove(pjoin(self.me_dir,'Events', self.run_name, 'events.lhe'))
4225 if os.path.exists(pjoin(self.me_dir,'Events','reweight.lhe')):
4226 os.remove(pjoin(self.me_dir,'Events', 'reweight.lhe'))
4227
4228
4229 tag = self.run_card['run_tag']
4230
4231 self.to_store = []
4232
4233
4234
4236 """get the list of Gdirectory if not yet saved."""
4237
4238 if hasattr(self, "Gdirs"):
4239 if self.me_dir in self.Gdirs:
4240 if Pdir is None:
4241 return sum(self.Gdirs.values())
4242 else:
4243 return self.Gdirs[Pdir]
4244
4245 Pdirs = self.get_Pdir()
4246 Gdirs = {self.me_dir:[]}
4247 for P in Pdirs:
4248 Gdirs[P] = [pjoin(P,G) for G in os.listdir(P) if G.startswith('G') and
4249 os.path.isdir(pjoin(P,G))]
4250
4251 self.Gdirs = Gdirs
4252 return self.getGdir(Pdir)
4253
4254
4256 """reads the info in the init block and returns them in a dictionary"""
4257 ev_file = open(evt_file)
4258 init = ""
4259 found = False
4260 while True:
4261 line = ev_file.readline()
4262 if "<init>" in line:
4263 found = True
4264 elif found and not line.startswith('#'):
4265 init += line
4266 if "</init>" in line or "<event>" in line:
4267 break
4268 ev_file.close()
4269
4270
4271
4272
4273
4274
4275 init_dict = {}
4276 init_dict['idbmup1'] = int(init.split()[0])
4277 init_dict['idbmup2'] = int(init.split()[1])
4278 init_dict['ebmup1'] = float(init.split()[2])
4279 init_dict['ebmup2'] = float(init.split()[3])
4280 init_dict['pdfgup1'] = int(init.split()[4])
4281 init_dict['pdfgup2'] = int(init.split()[5])
4282 init_dict['pdfsup1'] = int(init.split()[6])
4283 init_dict['pdfsup2'] = int(init.split()[7])
4284 init_dict['idwtup'] = int(init.split()[8])
4285 init_dict['nprup'] = int(init.split()[9])
4286
4287 return init_dict
4288
4289
4291 """creates the mcatnlo input script using the values set in the header of the event_file.
4292 It also checks if the lhapdf library is used"""
4293
4294 shower = self.banner.get('run_card', 'parton_shower').upper()
4295 pdlabel = self.banner.get('run_card', 'pdlabel')
4296 itry = 0
4297 nevents = self.shower_card['nevents']
4298 init_dict = self.get_init_dict(evt_file)
4299
4300 if nevents < 0 or \
4301 nevents > self.banner.get_detail('run_card', 'nevents'):
4302 nevents = self.banner.get_detail('run_card', 'nevents')
4303
4304 nevents = nevents / self.shower_card['nsplit_jobs']
4305
4306 mcmass_dict = {}
4307 for line in [l for l in self.banner['montecarlomasses'].split('\n') if l]:
4308 pdg = int(line.split()[0])
4309 mass = float(line.split()[1])
4310 mcmass_dict[pdg] = mass
4311
4312 content = 'EVPREFIX=%s\n' % pjoin(os.path.split(evt_file)[1])
4313 content += 'NEVENTS=%d\n' % nevents
4314 content += 'NEVENTS_TOT=%d\n' % (self.banner.get_detail('run_card', 'nevents') /\
4315 self.shower_card['nsplit_jobs'])
4316 content += 'MCMODE=%s\n' % shower
4317 content += 'PDLABEL=%s\n' % pdlabel
4318 content += 'ALPHAEW=%s\n' % self.banner.get_detail('param_card', 'sminputs', 1).value
4319
4320
4321 content += 'TMASS=%s\n' % self.banner.get_detail('param_card', 'mass', 6).value
4322 content += 'TWIDTH=%s\n' % self.banner.get_detail('param_card', 'decay', 6).value
4323 content += 'ZMASS=%s\n' % self.banner.get_detail('param_card', 'mass', 23).value
4324 content += 'ZWIDTH=%s\n' % self.banner.get_detail('param_card', 'decay', 23).value
4325 content += 'WMASS=%s\n' % self.banner.get_detail('param_card', 'mass', 24).value
4326 content += 'WWIDTH=%s\n' % self.banner.get_detail('param_card', 'decay', 24).value
4327 try:
4328 content += 'HGGMASS=%s\n' % self.banner.get_detail('param_card', 'mass', 25).value
4329 content += 'HGGWIDTH=%s\n' % self.banner.get_detail('param_card', 'decay', 25).value
4330 except KeyError:
4331 content += 'HGGMASS=120.\n'
4332 content += 'HGGWIDTH=0.00575308848\n'
4333 content += 'beammom1=%s\n' % self.banner.get_detail('run_card', 'ebeam1')
4334 content += 'beammom2=%s\n' % self.banner.get_detail('run_card', 'ebeam2')
4335 content += 'BEAM1=%s\n' % self.banner.get_detail('run_card', 'lpp1')
4336 content += 'BEAM2=%s\n' % self.banner.get_detail('run_card', 'lpp2')
4337 content += 'DMASS=%s\n' % mcmass_dict[1]
4338 content += 'UMASS=%s\n' % mcmass_dict[2]
4339 content += 'SMASS=%s\n' % mcmass_dict[3]
4340 content += 'CMASS=%s\n' % mcmass_dict[4]
4341 content += 'BMASS=%s\n' % mcmass_dict[5]
4342 try:
4343 content += 'EMASS=%s\n' % mcmass_dict[11]
4344 content += 'MUMASS=%s\n' % mcmass_dict[13]
4345 content += 'TAUMASS=%s\n' % mcmass_dict[15]
4346 except KeyError:
4347
4348 mcmass_lines = [l for l in \
4349 open(pjoin(self.me_dir, 'SubProcesses', 'MCmasses_%s.inc' % shower.upper())
4350 ).read().split('\n') if l]
4351 new_mcmass_dict = {}
4352 for l in mcmass_lines:
4353 key, val = l.split('=')
4354 new_mcmass_dict[key.strip()] = val.replace('d', 'e').strip()
4355 content += 'EMASS=%s\n' % new_mcmass_dict['mcmass(11)']
4356 content += 'MUMASS=%s\n' % new_mcmass_dict['mcmass(13)']
4357 content += 'TAUMASS=%s\n' % new_mcmass_dict['mcmass(15)']
4358
4359 content += 'GMASS=%s\n' % mcmass_dict[21]
4360 content += 'EVENT_NORM=%s\n' % self.banner.get_detail('run_card', 'event_norm').lower()
4361
4362 if int(self.shower_card['pdfcode']) > 1 or \
4363 (pdlabel=='lhapdf' and int(self.shower_card['pdfcode'])==1) or \
4364 shower=='HERWIGPP' :
4365
4366
4367
4368
4369 self.link_lhapdf(pjoin(self.me_dir, 'lib'))
4370 lhapdfpath = subprocess.Popen([self.options['lhapdf'], '--prefix'],
4371 stdout = subprocess.PIPE).stdout.read().strip()
4372 content += 'LHAPDFPATH=%s\n' % lhapdfpath
4373 pdfsetsdir = self.get_lhapdf_pdfsetsdir()
4374 if self.shower_card['pdfcode']==0:
4375 lhaid_list = ''
4376 content += ''
4377 elif self.shower_card['pdfcode']==1:
4378 lhaid_list = [max([init_dict['pdfsup1'],init_dict['pdfsup2']])]
4379 content += 'PDFCODE=%s\n' % max([init_dict['pdfsup1'],init_dict['pdfsup2']])
4380 else:
4381 lhaid_list = [abs(int(self.shower_card['pdfcode']))]
4382 content += 'PDFCODE=%s\n' % self.shower_card['pdfcode']
4383 self.copy_lhapdf_set(lhaid_list, pdfsetsdir)
4384 elif int(self.shower_card['pdfcode'])==1 or \
4385 int(self.shower_card['pdfcode'])==-1 and True:
4386
4387
4388
4389
4390
4391
4392 try:
4393 lhapdfpath = subprocess.Popen([self.options['lhapdf'], '--prefix'],
4394 stdout = subprocess.PIPE).stdout.read().strip()
4395 self.link_lhapdf(pjoin(self.me_dir, 'lib'))
4396 content += 'LHAPDFPATH=%s\n' % lhapdfpath
4397 pdfsetsdir = self.get_lhapdf_pdfsetsdir()
4398 lhaid_list = [max([init_dict['pdfsup1'],init_dict['pdfsup2']])]
4399 content += 'PDFCODE=%s\n' % max([init_dict['pdfsup1'],init_dict['pdfsup2']])
4400 self.copy_lhapdf_set(lhaid_list, pdfsetsdir)
4401 except Exception:
4402 logger.warning('Trying to shower events using the same PDF in the shower as used in the generation'+\
4403 ' of the events using LHAPDF. However, no valid LHAPDF installation found with the'+\
4404 ' needed PDF set. Will use default internal PDF for the shower instead. To use the'+\
4405 ' same set as was used in the event generation install LHAPDF and set the path using'+\
4406 ' "set /path_to_lhapdf/bin/lhapdf-config" from the MadGraph5_aMC@NLO python shell')
4407 content += 'LHAPDFPATH=\n'
4408 content += 'PDFCODE=0\n'
4409 else:
4410 content += 'LHAPDFPATH=\n'
4411 content += 'PDFCODE=0\n'
4412
4413 content += 'ICKKW=%s\n' % self.banner.get_detail('run_card', 'ickkw')
4414 content += 'PTJCUT=%s\n' % self.banner.get_detail('run_card', 'ptj')
4415
4416 if self.options['pythia8_path']:
4417 content+='PY8PATH=%s\n' % self.options['pythia8_path']
4418 if self.options['hwpp_path']:
4419 content+='HWPPPATH=%s\n' % self.options['hwpp_path']
4420 if self.options['thepeg_path'] and self.options['thepeg_path'] != self.options['hwpp_path']:
4421 content+='THEPEGPATH=%s\n' % self.options['thepeg_path']
4422 if self.options['hepmc_path'] and self.options['hepmc_path'] != self.options['hwpp_path']:
4423 content+='HEPMCPATH=%s\n' % self.options['hepmc_path']
4424
4425 output = open(pjoin(self.me_dir, 'MCatNLO', 'banner.dat'), 'w')
4426 output.write(content)
4427 output.close()
4428 return shower
4429
4430
4432 """runs the reweight_xsec_events executables on each sub-event file generated
4433 to compute on the fly scale and/or PDF uncertainities"""
4434 logger.info(' Doing reweight')
4435
4436 nev_unw = pjoin(self.me_dir, 'SubProcesses', 'nevents_unweighted')
4437
4438 if only:
4439 if os.path.exists(nev_unw + '.orig'):
4440 files.cp(nev_unw + '.orig', nev_unw)
4441 else:
4442 raise aMCatNLOError('Cannot find event file information')
4443
4444
4445 file = open(nev_unw)
4446 lines = file.read().split('\n')
4447 file.close()
4448
4449 files.cp(nev_unw, nev_unw + '.orig')
4450
4451
4452 evt_files = [line.split()[0] for line in lines[:-1] if line.split()[1] != '0']
4453 evt_wghts = [float(line.split()[3]) for line in lines[:-1] if line.split()[1] != '0']
4454 if self.run_card['event_norm'].lower()=='bias' and self.run_card['nevents'] != 0:
4455 evt_wghts[:]=[1./float(self.run_card['nevents']) for wgt in evt_wghts]
4456
4457 job_dict = {}
4458 exe = 'reweight_xsec_events.local'
4459 for i, evt_file in enumerate(evt_files):
4460 path, evt = os.path.split(evt_file)
4461 files.ln(pjoin(self.me_dir, 'SubProcesses', exe), \
4462 pjoin(self.me_dir, 'SubProcesses', path))
4463 job_dict[path] = [exe]
4464
4465 self.run_all(job_dict, [[evt, '1']], 'Running reweight')
4466
4467
4468 for evt_file in evt_files:
4469 last_line = subprocess.Popen(['tail', '-n1', '%s.rwgt' % \
4470 pjoin(self.me_dir, 'SubProcesses', evt_file)], \
4471 stdout = subprocess.PIPE).stdout.read().strip()
4472 if last_line != "</LesHouchesEvents>":
4473 raise aMCatNLOError('An error occurred during reweight. Check the' + \
4474 '\'reweight_xsec_events.output\' files inside the ' + \
4475 '\'SubProcesses/P*/G*/ directories for details')
4476
4477
4478 newfile = open(nev_unw, 'w')
4479 for line in lines:
4480 if line:
4481 newfile.write(line.replace(line.split()[0], line.split()[0] + '.rwgt') + '\n')
4482 newfile.close()
4483
4484 return self.pdf_scale_from_reweighting(evt_files,evt_wghts)
4485
4487 """This function takes the files with the scale and pdf values
4488 written by the reweight_xsec_events.f code
4489 (P*/G*/pdf_scale_dependence.dat) and computes the overall
4490 scale and PDF uncertainty (the latter is computed using the
4491 Hessian method (if lhaid<90000) or Gaussian (if lhaid>90000))
4492 and returns it in percents. The expected format of the file
4493 is: n_scales xsec_scale_central xsec_scale1 ... n_pdf
4494 xsec_pdf0 xsec_pdf1 ...."""
4495
4496 scales=[]
4497 pdfs=[]
4498 for i,evt_file in enumerate(evt_files):
4499 path, evt=os.path.split(evt_file)
4500 with open(pjoin(self.me_dir, 'SubProcesses', path, 'scale_pdf_dependence.dat'),'r') as f:
4501 data_line=f.readline()
4502 if "scale variations:" in data_line:
4503 for j,scale in enumerate(self.run_card['dynamical_scale_choice']):
4504 data_line = f.readline().split()
4505 scales_this = [float(val)*evt_wghts[i] for val in f.readline().replace("D", "E").split()]
4506 try:
4507 scales[j] = [a + b for a, b in zip(scales[j], scales_this)]
4508 except IndexError:
4509 scales+=[scales_this]
4510 data_line=f.readline()
4511 if "pdf variations:" in data_line:
4512 for j,pdf in enumerate(self.run_card['lhaid']):
4513 data_line = f.readline().split()
4514 pdfs_this = [float(val)*evt_wghts[i] for val in f.readline().replace("D", "E").split()]
4515 try:
4516 pdfs[j] = [a + b for a, b in zip(pdfs[j], pdfs_this)]
4517 except IndexError:
4518 pdfs+=[pdfs_this]
4519
4520
4521 scale_info=[]
4522 for j,scale in enumerate(scales):
4523 s_cen=scale[0]
4524 if s_cen != 0.0 and self.run_card['reweight_scale'][j]:
4525
4526 s_max=(max(scale)/s_cen-1)*100
4527 s_min=(1-min(scale)/s_cen)*100
4528
4529 ren_var=[]
4530 fac_var=[]
4531 for i in range(len(self.run_card['rw_rscale'])):
4532 ren_var.append(scale[i]-s_cen)
4533 for i in range(len(self.run_card['rw_fscale'])):
4534 fac_var.append(scale[i*len(self.run_card['rw_rscale'])]-s_cen)
4535 s_max_q=((s_cen+math.sqrt(math.pow(max(ren_var),2)+math.pow(max(fac_var),2)))/s_cen-1)*100
4536 s_min_q=(1-(s_cen-math.sqrt(math.pow(min(ren_var),2)+math.pow(min(fac_var),2)))/s_cen)*100
4537 s_size=len(scale)
4538 else:
4539 s_max=0.0
4540 s_min=0.0
4541 s_max_q=0.0
4542 s_min_q=0.0
4543 s_size=len(scale)
4544 scale_info.append({'cen':s_cen, 'min':s_min, 'max':s_max, \
4545 'min_q':s_min_q, 'max_q':s_max_q, 'size':s_size, \
4546 'label':self.run_card['dynamical_scale_choice'][j], \
4547 'unc':self.run_card['reweight_scale'][j]})
4548
4549
4550 if any(self.run_card['reweight_pdf']):
4551 use_lhapdf=False
4552 lhapdf_libdir=subprocess.Popen([self.options['lhapdf'],'--libdir'],\
4553 stdout=subprocess.PIPE).stdout.read().strip()
4554
4555 try:
4556 candidates=[dirname for dirname in os.listdir(lhapdf_libdir) \
4557 if os.path.isdir(pjoin(lhapdf_libdir,dirname))]
4558 except OSError:
4559 candidates=[]
4560 for candidate in candidates:
4561 if os.path.isfile(pjoin(lhapdf_libdir,candidate,'site-packages','lhapdf.so')):
4562 sys.path.insert(0,pjoin(lhapdf_libdir,candidate,'site-packages'))
4563 try:
4564 import lhapdf
4565 use_lhapdf=True
4566 break
4567 except ImportError:
4568 sys.path.pop(0)
4569 continue
4570
4571 if not use_lhapdf:
4572 try:
4573 candidates=[dirname for dirname in os.listdir(lhapdf_libdir+'64') \
4574 if os.path.isdir(pjoin(lhapdf_libdir+'64',dirname))]
4575 except OSError:
4576 candidates=[]
4577 for candidate in candidates:
4578 if os.path.isfile(pjoin(lhapdf_libdir+'64',candidate,'site-packages','lhapdf.so')):
4579 sys.path.insert(0,pjoin(lhapdf_libdir+'64',candidate,'site-packages'))
4580 try:
4581 import lhapdf
4582 use_lhapdf=True
4583 break
4584 except ImportError:
4585 sys.path.pop(0)
4586 continue
4587
4588 if not use_lhapdf:
4589 try:
4590 import lhapdf
4591 use_lhapdf=True
4592 except ImportError:
4593 logger.warning("Failed to access python version of LHAPDF: "\
4594 "cannot compute PDF uncertainty from the "\
4595 "weights in the events. The weights in the LHE " \
4596 "event files will still cover all PDF set members, "\
4597 "but there will be no PDF uncertainty printed in the run summary. \n "\
4598 "If the python interface to LHAPDF is available on your system, try "\
4599 "adding its location to the PYTHONPATH environment variable and the"\
4600 "LHAPDF library location to LD_LIBRARY_PATH (linux) or DYLD_LIBRARY_PATH (mac os x).")
4601 use_lhapdf=False
4602
4603
4604 if any(self.run_card['reweight_pdf']) and use_lhapdf: lhapdf.setVerbosity(0)
4605
4606 pdf_info=[]
4607 for j,pdfset in enumerate(pdfs):
4608 p_cen=pdfset[0]
4609 if p_cen != 0.0 and self.run_card['reweight_pdf'][j]:
4610 if use_lhapdf:
4611 pdfsetname=self.run_card['lhapdfsetname'][j]
4612 try:
4613 p=lhapdf.getPDFSet(pdfsetname)
4614 ep=p.uncertainty(pdfset,-1)
4615 p_cen=ep.central
4616 p_min=abs(ep.errminus/p_cen)*100
4617 p_max=abs(ep.errplus/p_cen)*100
4618 p_type=p.errorType
4619 p_size=p.size
4620 p_conf=p.errorConfLevel
4621 except:
4622 logger.warning("Could not access LHAPDF to compute uncertainties for %s" % pdfsetname)
4623 p_min=0.0
4624 p_max=0.0
4625 p_type='unknown'
4626 p_conf='unknown'
4627 p_size=len(pdfset)
4628 else:
4629 p_min=0.0
4630 p_max=0.0
4631 p_type='unknown'
4632 p_conf='unknown'
4633 p_size=len(pdfset)
4634 pdfsetname=self.run_card['lhaid'][j]
4635 else:
4636 p_min=0.0
4637 p_max=0.0
4638 p_type='none'
4639 p_conf='unknown'
4640 p_size=len(pdfset)
4641 pdfsetname=self.run_card['lhaid'][j]
4642 pdf_info.append({'cen':p_cen, 'min':p_min, 'max':p_max, \
4643 'unc':p_type, 'name':pdfsetname, 'size':p_size, \
4644 'label':self.run_card['lhaid'][j], 'conf':p_conf})
4645
4646 scale_pdf_info=[scale_info,pdf_info]
4647 return scale_pdf_info
4648
4649
4661
4662 - def run_all(self, job_dict, arg_list, run_type='monitor', split_jobs = False):
4663 """runs the jobs in job_dict (organized as folder: [job_list]), with arguments args"""
4664 self.ijob = 0
4665 if run_type != 'shower':
4666 self.njobs = sum(len(jobs) for jobs in job_dict.values()) * len(arg_list)
4667 for args in arg_list:
4668 for Pdir, jobs in job_dict.items():
4669 for job in jobs:
4670 self.run_exe(job, args, run_type, cwd=pjoin(self.me_dir, 'SubProcesses', Pdir) )
4671 if self.cluster_mode == 2:
4672 time.sleep(1)
4673 else:
4674 self.njobs = len(arg_list)
4675 for args in arg_list:
4676 [(cwd, exe)] = job_dict.items()
4677 self.run_exe(exe, args, run_type, cwd)
4678
4679 self.wait_for_complete(run_type)
4680
4681
4682
4684 """check the integrity of the event files after splitting, and resubmit
4685 those which are not nicely terminated"""
4686 jobs_to_resubmit = []
4687 for job in jobs:
4688 last_line = ''
4689 try:
4690 last_line = subprocess.Popen(
4691 ['tail', '-n1', pjoin(job['dirname'], 'events.lhe')], \
4692 stdout = subprocess.PIPE).stdout.read().strip()
4693 except IOError:
4694 pass
4695 if last_line != "</LesHouchesEvents>":
4696 jobs_to_resubmit.append(job)
4697 self.njobs = 0
4698 if jobs_to_resubmit:
4699 run_type = 'Resubmitting broken jobs'
4700 logger.info('Some event files are broken, corresponding jobs will be resubmitted.')
4701 for job in jobs_to_resubmit:
4702 logger.debug('Resubmitting ' + job['dirname'] + '\n')
4703 self.run_all_jobs(jobs_to_resubmit,2,fixed_order=False)
4704
4705
4707 """looks into the nevents_unweighed_splitted file to check how many
4708 split jobs are needed for this (pdir, job). arg is F, B or V"""
4709
4710 splittings = []
4711 ajob = open(pjoin(self.me_dir, 'SubProcesses', pdir, job)).read()
4712 pattern = re.compile('for i in (\d+) ; do')
4713 match = re.search(pattern, ajob)
4714 channel = match.groups()[0]
4715
4716
4717 nevents_file = open(pjoin(self.me_dir, 'SubProcesses', 'nevents_unweighted_splitted')).read()
4718
4719
4720 pattern = re.compile(r"%s_(\d+)/events.lhe" % \
4721 pjoin(pdir, 'G%s%s' % (arg,channel)))
4722 matches = re.findall(pattern, nevents_file)
4723 for m in matches:
4724 splittings.append(m)
4725 return splittings
4726
4727
4728 - def run_exe(self, exe, args, run_type, cwd=None):
4729 """this basic function launch locally/on cluster exe with args as argument.
4730 """
4731
4732 execpath = None
4733 if cwd and os.path.exists(pjoin(cwd, exe)):
4734 execpath = pjoin(cwd, exe)
4735 elif not cwd and os.path.exists(exe):
4736 execpath = exe
4737 else:
4738 raise aMCatNLOError('Cannot find executable %s in %s' \
4739 % (exe, os.getcwd()))
4740
4741 if self.cluster_mode == 1 and not os.access(execpath, os.X_OK):
4742 subprocess.call(['chmod', '+x', exe], cwd=cwd)
4743
4744 if self.cluster_mode == 0:
4745
4746 misc.call(['./'+exe] + args, cwd=cwd)
4747 self.ijob += 1
4748 self.update_status((max([self.njobs - self.ijob - 1, 0]),
4749 min([1, self.njobs - self.ijob]),
4750 self.ijob, run_type), level='parton')
4751
4752
4753 elif 'reweight' in exe:
4754
4755
4756 input_files, output_files = [], []
4757 pdfinput = self.get_pdf_input_filename()
4758 if os.path.exists(pdfinput):
4759 input_files.append(pdfinput)
4760 input_files.append(pjoin(os.path.dirname(exe), os.path.pardir, 'reweight_xsec_events'))
4761 input_files.append(pjoin(cwd, os.path.pardir, 'leshouche_info.dat'))
4762 input_files.append(args[0])
4763 output_files.append('%s.rwgt' % os.path.basename(args[0]))
4764 output_files.append('reweight_xsec_events.output')
4765 output_files.append('scale_pdf_dependence.dat')
4766
4767 return self.cluster.submit2(exe, args, cwd=cwd,
4768 input_files=input_files, output_files=output_files,
4769 required_output=output_files)
4770
4771 elif 'ajob' in exe:
4772
4773
4774 if type(args[0]) == str:
4775 input_files, output_files, required_output, args = self.getIO_ajob(exe,cwd,args)
4776
4777 self.cluster.submit2(exe, args, cwd=cwd,
4778 input_files=input_files, output_files=output_files,
4779 required_output=required_output)
4780
4781
4782
4783
4784
4785
4786 elif 'shower' in exe:
4787
4788
4789
4790 input_files, output_files = [], []
4791 shower = args[0]
4792
4793 if shower == 'PYTHIA8':
4794 input_files.append(pjoin(cwd, 'Pythia8.exe'))
4795 input_files.append(pjoin(cwd, 'Pythia8.cmd'))
4796 if os.path.exists(pjoin(self.options['pythia8_path'], 'xmldoc')):
4797 input_files.append(pjoin(cwd, 'config.sh'))
4798 input_files.append(pjoin(self.options['pythia8_path'], 'xmldoc'))
4799 else:
4800 input_files.append(pjoin(self.options['pythia8_path'], 'share/Pythia8/xmldoc'))
4801 else:
4802 input_files.append(pjoin(cwd, 'MCATNLO_%s_EXE' % shower))
4803 input_files.append(pjoin(cwd, 'MCATNLO_%s_input' % shower))
4804 if shower == 'HERWIGPP':
4805 if os.path.exists(pjoin(self.options['hwpp_path'], 'bin', 'Herwig++')):
4806 input_files.append(pjoin(cwd, 'Herwig++'))
4807 if os.path.exists(pjoin(self.options['hwpp_path'], 'bin', 'Herwig')):
4808 input_files.append(pjoin(cwd, 'Herwig'))
4809 input_files.append(pjoin(cwd, 'HepMCFortran.so'))
4810 if len(args) == 3:
4811 if os.path.exists(pjoin(self.me_dir, 'Events', self.run_name, 'events.lhe.gz')):
4812 input_files.append(pjoin(self.me_dir, 'Events', self.run_name, 'events.lhe.gz'))
4813 elif os.path.exists(pjoin(self.me_dir, 'Events', self.run_name, 'events.lhe')):
4814 input_files.append(pjoin(self.me_dir, 'Events', self.run_name, 'events.lhe'))
4815 else:
4816 raise aMCatNLOError, 'Event file not present in %s' % \
4817 pjoin(self.me_dir, 'Events', self.run_name)
4818 else:
4819 input_files.append(pjoin(cwd, 'events_%s.lhe' % args[3]))
4820
4821 if len(args) == 3:
4822 output_files.append('mcatnlo_run.log')
4823 else:
4824 output_files.append('mcatnlo_run_%s.log' % args[3])
4825 if args[1] == 'HEP':
4826 if len(args) == 3:
4827 fname = 'events'
4828 else:
4829 fname = 'events_%s' % args[3]
4830 if shower in ['PYTHIA8', 'HERWIGPP']:
4831 output_files.append(fname + '.hepmc.gz')
4832 else:
4833 output_files.append(fname + '.hep.gz')
4834 elif args[1] == 'TOP' or args[1] == 'HWU':
4835 if len(args) == 3:
4836 fname = 'histfile'
4837 else:
4838 fname = 'histfile_%s' % args[3]
4839 output_files.append(fname + '.tar')
4840 else:
4841 raise aMCatNLOError, 'Not a valid output argument for shower job : %d' % args[1]
4842
4843 self.cluster.submit2(exe, args, cwd=cwd,
4844 input_files=input_files, output_files=output_files)
4845
4846 else:
4847 return self.cluster.submit(exe, args, cwd=cwd)
4848
4850
4851
4852
4853 output_files = []
4854 required_output = []
4855 input_files = [pjoin(self.me_dir, 'SubProcesses', 'randinit'),
4856 pjoin(cwd, 'symfact.dat'),
4857 pjoin(cwd, 'iproc.dat'),
4858 pjoin(cwd, 'initial_states_map.dat'),
4859 pjoin(cwd, 'configs_and_props_info.dat'),
4860 pjoin(cwd, 'leshouche_info.dat'),
4861 pjoin(cwd, 'FKS_params.dat')]
4862
4863
4864 if os.path.exists(pjoin(self.me_dir,'OLP_virtuals','gosam.rc')):
4865 input_files.append(pjoin(self.me_dir, 'Cards', 'param_card.dat'))
4866
4867 if os.path.exists(pjoin(cwd,'nevents.tar')):
4868 input_files.append(pjoin(cwd,'nevents.tar'))
4869
4870 if os.path.exists(pjoin(self.me_dir,'SubProcesses','OLE_order.olc')):
4871 input_files.append(pjoin(cwd, 'OLE_order.olc'))
4872
4873
4874 if os.path.exists(pjoin(cwd,'MadLoop5_resources.tar.gz')) and \
4875 cluster.need_transfer(self.options):
4876 input_files.append(pjoin(cwd, 'MadLoop5_resources.tar.gz'))
4877 elif os.path.exists(pjoin(cwd,'MadLoop5_resources')) and \
4878 cluster.need_transfer(self.options):
4879 tf=tarfile.open(pjoin(cwd,'MadLoop5_resources.tar.gz'),'w:gz',
4880 dereference=True)
4881 tf.add(pjoin(cwd,'MadLoop5_resources'),arcname='MadLoop5_resources')
4882 tf.close()
4883 input_files.append(pjoin(cwd, 'MadLoop5_resources.tar.gz'))
4884
4885 if args[1] == 'born' or args[1] == 'all':
4886
4887 input_files.append(pjoin(cwd, 'madevent_mintFO'))
4888 if args[2] == '0':
4889 current = '%s_G%s' % (args[1],args[0])
4890 else:
4891 current = '%s_G%s_%s' % (args[1],args[0],args[2])
4892 if os.path.exists(pjoin(cwd,current)):
4893 input_files.append(pjoin(cwd, current))
4894 output_files.append(current)
4895
4896 required_output.append('%s/results.dat' % current)
4897 required_output.append('%s/res_%s.dat' % (current,args[3]))
4898 required_output.append('%s/log_MINT%s.txt' % (current,args[3]))
4899 required_output.append('%s/mint_grids' % current)
4900 required_output.append('%s/grid.MC_integer' % current)
4901 if args[3] != '0':
4902 required_output.append('%s/scale_pdf_dependence.dat' % current)
4903
4904 elif args[1] == 'F' or args[1] == 'B':
4905
4906 input_files.append(pjoin(cwd, 'madevent_mintMC'))
4907
4908 if args[2] == '0':
4909 current = 'G%s%s' % (args[1],args[0])
4910 else:
4911 current = 'G%s%s_%s' % (args[1],args[0],args[2])
4912 if os.path.exists(pjoin(cwd,current)):
4913 input_files.append(pjoin(cwd, current))
4914 output_files.append(current)
4915 if args[2] > '0':
4916
4917 output_files.append('G%s%s_%s' % (args[1], args[0], args[2]))
4918 required_output.append('G%s%s_%s/log_MINT%s.txt' % (args[1],args[0],args[2],args[3]))
4919
4920 else:
4921 required_output.append('%s/log_MINT%s.txt' % (current,args[3]))
4922 if args[3] in ['0','1']:
4923 required_output.append('%s/results.dat' % current)
4924 if args[3] == '1':
4925 output_files.append('%s/results.dat' % current)
4926
4927 else:
4928 raise aMCatNLOError, 'not valid arguments: %s' %(', '.join(args))
4929
4930
4931 pdfinput = self.get_pdf_input_filename()
4932 if os.path.exists(pdfinput):
4933 input_files.append(pdfinput)
4934 return input_files, output_files, required_output, args
4935
4936
4937 - def compile(self, mode, options):
4938 """compiles aMC@NLO to compute either NLO or NLO matched to shower, as
4939 specified in mode"""
4940
4941 os.mkdir(pjoin(self.me_dir, 'Events', self.run_name))
4942
4943 self.banner.write(pjoin(self.me_dir, 'Events', self.run_name,
4944 '%s_%s_banner.txt' % (self.run_name, self.run_tag)))
4945
4946 self.get_characteristics(pjoin(self.me_dir,
4947 'SubProcesses', 'proc_characteristics'))
4948
4949
4950 amcatnlo_log = pjoin(self.me_dir, 'compile_amcatnlo.log')
4951 madloop_log = pjoin(self.me_dir, 'compile_madloop.log')
4952 reweight_log = pjoin(self.me_dir, 'compile_reweight.log')
4953 test_log = pjoin(self.me_dir, 'test.log')
4954
4955
4956 self.make_opts_var = {}
4957 if self.proc_characteristics['has_loops'] and \
4958 not os.path.exists(pjoin(self.me_dir,'OLP_virtuals')):
4959 self.make_opts_var['madloop'] = 'true'
4960
4961 self.update_status('Compiling the code', level=None, update_results=True)
4962
4963 libdir = pjoin(self.me_dir, 'lib')
4964 sourcedir = pjoin(self.me_dir, 'Source')
4965
4966
4967 files.rm([amcatnlo_log, madloop_log, reweight_log, test_log])
4968
4969 if '+' in mode:
4970 mode = mode.split('+')[0]
4971 if mode in ['NLO', 'LO']:
4972 exe = 'madevent_mintFO'
4973 tests = ['test_ME']
4974 self.analyse_card.write_card(pjoin(self.me_dir, 'SubProcesses', 'analyse_opts'))
4975 elif mode in ['aMC@NLO', 'aMC@LO','noshower','noshowerLO']:
4976 exe = 'madevent_mintMC'
4977 tests = ['test_ME', 'test_MC']
4978
4979 with open(pjoin(self.me_dir, 'SubProcesses', 'analyse_opts'),'w') as fsock:
4980 fsock.write('FO_ANALYSE=analysis_dummy.o dbook.o open_output_files_dummy.o HwU_dummy.o\n')
4981
4982
4983 p_dirs = [d for d in \
4984 open(pjoin(self.me_dir, 'SubProcesses', 'subproc.mg')).read().split('\n') if d]
4985
4986 self.do_treatcards('', amcatnlo=True, mode=mode)
4987
4988
4989 if all([os.path.exists(pjoin(self.me_dir, 'SubProcesses', p_dir, exe)) \
4990 for p_dir in p_dirs]) and options['nocompile']:
4991 return
4992
4993
4994 if os.path.exists(pjoin(libdir, 'PDFsets')):
4995 files.rm(pjoin(libdir, 'PDFsets'))
4996
4997
4998 if self.run_card['pdlabel'] == 'lhapdf' and \
4999 (self.banner.get_detail('run_card', 'lpp1') != 0 or \
5000 self.banner.get_detail('run_card', 'lpp2') != 0):
5001
5002 self.link_lhapdf(libdir, [pjoin('SubProcesses', p) for p in p_dirs])
5003 pdfsetsdir = self.get_lhapdf_pdfsetsdir()
5004 lhaid_list = self.run_card['lhaid']
5005 self.copy_lhapdf_set(lhaid_list, pdfsetsdir)
5006
5007 else:
5008 if self.run_card['lpp1'] == 1 == self.run_card['lpp2']:
5009 logger.info('Using built-in libraries for PDFs')
5010
5011 self.make_opts_var['lhapdf'] = ""
5012
5013
5014 if self.run_card['iappl'] != 0:
5015 self.make_opts_var['applgrid'] = 'True'
5016
5017 for code in ['applgrid','amcfast']:
5018 try:
5019 p = subprocess.Popen([self.options[code], '--version'], \
5020 stdout=subprocess.PIPE, stderr=subprocess.PIPE)
5021 except OSError:
5022 raise aMCatNLOError(('No valid %s installation found. \n' + \
5023 'Please set the path to %s-config by using \n' + \
5024 'MG5_aMC> set <absolute-path-to-%s>/bin/%s-config \n') % (code,code,code,code))
5025 else:
5026 output, _ = p.communicate()
5027 if code is 'applgrid' and output < '1.4.63':
5028 raise aMCatNLOError('Version of APPLgrid is too old. Use 1.4.69 or later.'\
5029 +' You are using %s',output)
5030 if code is 'amcfast' and output < '1.1.1':
5031 raise aMCatNLOError('Version of aMCfast is too old. Use 1.1.1 or later.'\
5032 +' You are using %s',output)
5033
5034
5035 appllibs=" APPLLIBS=$(shell %s --ldflags) $(shell %s --ldcflags) \n" \
5036 % (self.options['amcfast'],self.options['applgrid'])
5037 text=open(pjoin(self.me_dir,'Source','make_opts'),'r').readlines()
5038 text_out=[]
5039 for line in text:
5040 if line.strip().startswith('APPLLIBS=$'):
5041 line=appllibs
5042 text_out.append(line)
5043 with open(pjoin(self.me_dir,'Source','make_opts'),'w') as fsock:
5044 fsock.writelines(text_out)
5045 else:
5046 self.make_opts_var['applgrid'] = ""
5047
5048 if 'fastjet' in self.options.keys() and self.options['fastjet']:
5049 self.make_opts_var['fastjet_config'] = self.options['fastjet']
5050
5051
5052 self.update_make_opts()
5053
5054
5055 self.update_status('Compiling source...', level=None)
5056 misc.compile(['clean4pdf'], cwd = sourcedir)
5057 misc.compile(cwd = sourcedir)
5058 if os.path.exists(pjoin(libdir, 'libdhelas.a')) \
5059 and os.path.exists(pjoin(libdir, 'libgeneric.a')) \
5060 and os.path.exists(pjoin(libdir, 'libmodel.a')) \
5061 and os.path.exists(pjoin(libdir, 'libpdf.a')):
5062 logger.info(' ...done, continuing with P* directories')
5063 else:
5064 raise aMCatNLOError('Compilation failed')
5065
5066
5067 MCatNLO_libdir = pjoin(self.me_dir, 'MCatNLO', 'lib')
5068 if not os.path.exists(os.path.realpath(pjoin(MCatNLO_libdir, 'libstdhep.a'))) or \
5069 not os.path.exists(os.path.realpath(pjoin(MCatNLO_libdir, 'libFmcfio.a'))):
5070 if os.path.exists(pjoin(sourcedir,'StdHEP')):
5071 logger.info('Compiling StdHEP (can take a couple of minutes) ...')
5072 misc.compile(['StdHEP'], cwd = sourcedir)
5073 logger.info(' ...done.')
5074 else:
5075 raise aMCatNLOError('Could not compile StdHEP because its'+\
5076 ' source directory could not be found in the SOURCE folder.\n'+\
5077 " Check the MG5_aMC option 'output_dependencies.'")
5078
5079
5080 if not os.path.exists(os.path.realpath(pjoin(libdir, 'libcts.a'))) or \
5081 not os.path.exists(os.path.realpath(pjoin(libdir, 'mpmodule.mod'))):
5082 if os.path.exists(pjoin(sourcedir,'CutTools')):
5083 logger.info('Compiling CutTools (can take a couple of minutes) ...')
5084 misc.compile(['CutTools','-j1'], cwd = sourcedir, nb_core=1)
5085 logger.info(' ...done.')
5086 else:
5087 raise aMCatNLOError('Could not compile CutTools because its'+\
5088 ' source directory could not be found in the SOURCE folder.\n'+\
5089 " Check the MG5_aMC option 'output_dependencies.'")
5090 if not os.path.exists(os.path.realpath(pjoin(libdir, 'libcts.a'))) or \
5091 not os.path.exists(os.path.realpath(pjoin(libdir, 'mpmodule.mod'))):
5092 raise aMCatNLOError('CutTools compilation failed.')
5093
5094
5095
5096 compiler_log_path = pjoin(os.path.dirname((os.path.realpath(pjoin(
5097 libdir, 'libcts.a')))),'compiler_version.log')
5098 if os.path.exists(compiler_log_path):
5099 compiler_version_used = open(compiler_log_path,'r').read()
5100 if not str(misc.get_gfortran_version(misc.detect_current_compiler(\
5101 pjoin(sourcedir,'make_opts')))) in compiler_version_used:
5102 if os.path.exists(pjoin(sourcedir,'CutTools')):
5103 logger.info('CutTools was compiled with a different fortran'+\
5104 ' compiler. Re-compiling it now...')
5105 misc.compile(['cleanCT'], cwd = sourcedir)
5106 misc.compile(['CutTools','-j1'], cwd = sourcedir, nb_core=1)
5107 logger.info(' ...done.')
5108 else:
5109 raise aMCatNLOError("CutTools installation in %s"\
5110 %os.path.realpath(pjoin(libdir, 'libcts.a'))+\
5111 " seems to have been compiled with a different compiler than"+\
5112 " the one specified in MG5_aMC. Please recompile CutTools.")
5113
5114
5115 if not os.path.exists(os.path.realpath(pjoin(libdir, 'libiregi.a'))) \
5116 and os.path.exists(pjoin(sourcedir,'IREGI')):
5117 logger.info('Compiling IREGI (can take a couple of minutes) ...')
5118 misc.compile(['IREGI'], cwd = sourcedir)
5119 logger.info(' ...done.')
5120
5121 if os.path.exists(pjoin(libdir, 'libiregi.a')):
5122
5123
5124 compiler_log_path = pjoin(os.path.dirname((os.path.realpath(pjoin(
5125 libdir, 'libiregi.a')))),'compiler_version.log')
5126 if os.path.exists(compiler_log_path):
5127 compiler_version_used = open(compiler_log_path,'r').read()
5128 if not str(misc.get_gfortran_version(misc.detect_current_compiler(\
5129 pjoin(sourcedir,'make_opts')))) in compiler_version_used:
5130 if os.path.exists(pjoin(sourcedir,'IREGI')):
5131 logger.info('IREGI was compiled with a different fortran'+\
5132 ' compiler. Re-compiling it now...')
5133 misc.compile(['cleanIR'], cwd = sourcedir)
5134 misc.compile(['IREGI'], cwd = sourcedir)
5135 logger.info(' ...done.')
5136 else:
5137 raise aMCatNLOError("IREGI installation in %s"\
5138 %os.path.realpath(pjoin(libdir, 'libiregi.a'))+\
5139 " seems to have been compiled with a different compiler than"+\
5140 " the one specified in MG5_aMC. Please recompile IREGI.")
5141
5142
5143 if self.proc_characteristics['has_loops'] and \
5144 not os.path.exists(pjoin(self.me_dir,'OLP_virtuals')):
5145 if mode in ['NLO', 'aMC@NLO', 'noshower']:
5146 tests.append('check_poles')
5147
5148
5149 self.update_status('Compiling directories...', level=None)
5150
5151 for test in tests:
5152 self.write_test_input(test)
5153
5154 try:
5155 import multiprocessing
5156 if not self.nb_core:
5157 try:
5158 self.nb_core = int(self.options['nb_core'])
5159 except TypeError:
5160 self.nb_core = multiprocessing.cpu_count()
5161 except ImportError:
5162 self.nb_core = 1
5163
5164 compile_options = copy.copy(self.options)
5165 compile_options['nb_core'] = self.nb_core
5166 compile_cluster = cluster.MultiCore(**compile_options)
5167 logger.info('Compiling on %d cores' % self.nb_core)
5168
5169 update_status = lambda i, r, f: self.donothing(i,r,f)
5170 for p_dir in p_dirs:
5171 compile_cluster.submit(prog = compile_dir,
5172 argument = [self.me_dir, p_dir, mode, options,
5173 tests, exe, self.options['run_mode']])
5174 try:
5175 compile_cluster.wait(self.me_dir, update_status)
5176 except Exception, error:
5177 logger.warning("Fail to compile the Subprocesses")
5178 if __debug__:
5179 raise
5180 compile_cluster.remove()
5181 self.do_quit('')
5182
5183 logger.info('Checking test output:')
5184 for p_dir in p_dirs:
5185 logger.info(p_dir)
5186 for test in tests:
5187 logger.info(' Result for %s:' % test)
5188
5189 this_dir = pjoin(self.me_dir, 'SubProcesses', p_dir)
5190
5191 self.check_tests(test, this_dir)
5192
5193
5196
5197
5199 """just call the correct parser for the test log.
5200 Skip check_poles for LOonly folders"""
5201 if test in ['test_ME', 'test_MC']:
5202 return self.parse_test_mx_log(pjoin(dir, '%s.log' % test))
5203 elif test == 'check_poles' and not os.path.exists(pjoin(dir,'parton_lum_0.f')):
5204 return self.parse_check_poles_log(pjoin(dir, '%s.log' % test))
5205
5206
5208 """read and parse the test_ME/MC.log file"""
5209 content = open(log).read()
5210 if 'FAILED' in content:
5211 logger.info('Output of the failing test:\n'+content[:-1],'$MG:BOLD')
5212 raise aMCatNLOError('Some tests failed, run cannot continue.\n' + \
5213 'Please check that widths of final state particles (e.g. top) have been' + \
5214 ' set to 0 in the param_card.dat.')
5215 else:
5216 lines = [l for l in content.split('\n') if 'PASSED' in l]
5217 logger.info(' Passed.')
5218 logger.debug('\n'+'\n'.join(lines))
5219
5220
5222 """reads and parse the check_poles.log file"""
5223 content = open(log).read()
5224 npass = 0
5225 nfail = 0
5226 for line in content.split('\n'):
5227 if 'PASSED' in line:
5228 npass +=1
5229 tolerance = float(line.split()[1])
5230 if 'FAILED' in line:
5231 nfail +=1
5232 tolerance = float(line.split()[1])
5233
5234 if nfail + npass == 0:
5235 logger.warning('0 points have been tried')
5236 return
5237
5238 if float(nfail)/float(nfail+npass) > 0.1:
5239 raise aMCatNLOError('Poles do not cancel, run cannot continue')
5240 else:
5241 logger.info(' Poles successfully cancel for %d points over %d (tolerance=%2.1e)' \
5242 %(npass, nfail+npass, tolerance))
5243
5244
5266
5267
5268 action_switcher = AskRunNLO
5269
5271 """Ask the question when launching generate_events/multi_run"""
5272
5273 if 'parton' not in options:
5274 options['parton'] = False
5275 if 'reweightonly' not in options:
5276 options['reweightonly'] = False
5277
5278 if mode == 'auto':
5279 mode = None
5280 if not mode and (options['parton'] or options['reweightonly']):
5281 mode = 'noshower'
5282
5283 passing_cmd = []
5284 for key,value in switch.keys():
5285 passing_cmd.append('%s=%s' % (key,value))
5286
5287 if 'do_reweight' in options and options['do_reweight']:
5288 passing_cmd.append('reweight=ON')
5289 if 'do_madspin' in options and options['do_madspin']:
5290 passing_cmd.append('madspin=ON')
5291
5292 force = self.force
5293 if mode == 'onlyshower':
5294 passing_cmd.append('onlyshower')
5295 force = True
5296 elif mode:
5297 passing_cmd.append(mode)
5298
5299 switch, cmd_switch = self.ask('', '0', [], ask_class = self.action_switcher,
5300 mode=mode, force=force,
5301 first_cmd=passing_cmd,
5302 return_instance=True)
5303
5304 if 'mode' in switch:
5305 mode = switch['mode']
5306
5307
5308 if not mode or mode == 'auto':
5309 if switch['order'] == 'LO':
5310 if switch['runshower']:
5311 mode = 'aMC@LO'
5312 elif switch['fixed_order'] == 'ON':
5313 mode = 'LO'
5314 else:
5315 mode = 'noshowerLO'
5316 elif switch['order'] == 'NLO':
5317 if switch['runshower']:
5318 mode = 'aMC@NLO'
5319 elif switch['fixed_order'] == 'ON':
5320 mode = 'NLO'
5321 else:
5322 mode = 'noshower'
5323 logger.info('will run in mode: %s' % mode)
5324
5325 if mode == 'noshower':
5326 if switch['shower'] == 'OFF':
5327 logger.warning("""You have chosen not to run a parton shower.
5328 NLO events without showering are NOT physical.
5329 Please, shower the LesHouches events before using them for physics analyses.
5330 You have to choose NOW which parton-shower you WILL use and specify it in the run_card.""")
5331 else:
5332 logger.info("""Your Parton-shower choice is not available for running.
5333 The events will be generated for the associated Parton-Shower.
5334 Remember that NLO events without showering are NOT physical.""", '$MG:BOLD')
5335
5336
5337
5338 cards = ['param_card.dat', 'run_card.dat']
5339 ignore = []
5340 if mode in ['LO', 'NLO']:
5341 options['parton'] = True
5342 ignore = ['shower_card.dat', 'madspin_card.dat']
5343 cards.append('FO_analyse_card.dat')
5344 else:
5345 if switch['madspin'] != 'OFF':
5346 cards.append('madspin_card.dat')
5347 if switch['reweight'] != 'OFF':
5348 cards.append('reweight_card.dat')
5349 if switch['madanalysis'] in ['HADRON', 'ON']:
5350 cards.append('madanalysis5_hadron_card.dat')
5351 if 'aMC@' in mode:
5352 cards.append('shower_card.dat')
5353 if mode == 'onlyshower':
5354 cards = ['shower_card.dat']
5355 if options['reweightonly']:
5356 cards = ['run_card.dat']
5357
5358 self.keep_cards(cards, ignore)
5359
5360 if mode =='onlyshower':
5361 cards = ['shower_card.dat']
5362
5363
5364
5365 first_cmd = cmd_switch.get_cardcmd()
5366
5367 if not options['force'] and not self.force:
5368 self.ask_edit_cards(cards, plot=False, first_cmd=first_cmd)
5369
5370 self.banner = banner_mod.Banner()
5371
5372
5373 for card in cards:
5374 self.banner.add(pjoin(self.me_dir, 'Cards', card))
5375
5376 run_settings = '\n'.join(['%s = %s' % (k, v) for (k, v) in switch.items()])
5377 self.banner.add_text('run_settings', run_settings)
5378
5379 if not mode =='onlyshower':
5380 self.run_card = self.banner.charge_card('run_card')
5381 self.run_tag = self.run_card['run_tag']
5382
5383 if not hasattr(self, 'run_name') or not self.run_name:
5384 self.run_name = self.find_available_run_name(self.me_dir)
5385
5386 if self.run_name.startswith('run_'):
5387 if mode in ['LO','aMC@LO','noshowerLO']:
5388 self.run_name += '_LO'
5389 self.set_run_name(self.run_name, self.run_tag, 'parton')
5390 if self.run_card['ickkw'] == 3 and mode in ['LO', 'aMC@LO', 'noshowerLO']:
5391 raise self.InvalidCmd("""FxFx merging (ickkw=3) not allowed at LO""")
5392 elif self.run_card['ickkw'] == 3 and mode in ['aMC@NLO', 'noshower']:
5393 logger.warning("""You are running with FxFx merging enabled. To be able to merge
5394 samples of various multiplicities without double counting, you
5395 have to remove some events after showering 'by hand'. Please
5396 read http://amcatnlo.cern.ch/FxFx_merging.htm for more details.""")
5397 if self.run_card['parton_shower'].upper() == 'PYTHIA6Q':
5398 raise self.InvalidCmd("""FxFx merging does not work with Q-squared ordered showers.""")
5399 elif self.run_card['parton_shower'].upper() != 'HERWIG6' and self.run_card['parton_shower'].upper() != 'PYTHIA8':
5400 question="FxFx merging not tested for %s shower. Do you want to continue?\n" % self.run_card['parton_shower'] + \
5401 "Type \'n\' to stop or \'y\' to continue"
5402 answers = ['n','y']
5403 answer = self.ask(question, 'n', answers, alias=alias)
5404 if answer == 'n':
5405 error = '''Stop opertation'''
5406 self.ask_run_configuration(mode, options)
5407
5408 elif self.run_card['ickkw'] == -1 and mode in ['aMC@NLO', 'noshower']:
5409
5410 raise self.InvalidCmd("""NNLL+NLO jet veto runs (ickkw=-1) only possible for fNLO or LO.""")
5411 if 'aMC@' in mode or mode == 'onlyshower':
5412 self.shower_card = self.banner.charge_card('shower_card')
5413
5414 elif mode in ['LO', 'NLO']:
5415 analyse_card_path = pjoin(self.me_dir, 'Cards','FO_analyse_card.dat')
5416 self.analyse_card = self.banner.charge_card('FO_analyse_card')
5417
5418 return mode
5419
5425 """The command line processor of MadGraph"""
5426
5427 _compile_usage = "compile [MODE] [options]\n" + \
5428 "-- compiles aMC@NLO \n" + \
5429 " MODE can be either FO, for fixed-order computations, \n" + \
5430 " or MC for matching with parton-shower monte-carlos. \n" + \
5431 " (if omitted, it is set to MC)\n"
5432 _compile_parser = misc.OptionParser(usage=_compile_usage)
5433 _compile_parser.add_option("-f", "--force", default=False, action='store_true',
5434 help="Use the card present in the directory for the launch, without editing them")
5435
5436 _launch_usage = "launch [MODE] [options]\n" + \
5437 "-- execute aMC@NLO \n" + \
5438 " MODE can be either LO, NLO, aMC@NLO or aMC@LO (if omitted, it is asked in a separate question)\n" + \
5439 " If mode is set to LO/NLO, no event generation will be performed, but only the \n" + \
5440 " computation of the total cross section and the filling of parton-level histograms \n" + \
5441 " specified in the DIRPATH/SubProcesses/madfks_plot.f file.\n" + \
5442 " If mode is set to aMC@LO/aMC@NLO, after the cross-section computation, a .lhe \n" + \
5443 " event file is generated which will be showered with the MonteCarlo specified \n" + \
5444 " in the run_card.dat\n"
5445
5446 _launch_parser = misc.OptionParser(usage=_launch_usage)
5447 _launch_parser.add_option("-f", "--force", default=False, action='store_true',
5448 help="Use the card present in the directory for the launch, without editing them")
5449 _launch_parser.add_option("-c", "--cluster", default=False, action='store_true',
5450 help="Submit the jobs on the cluster")
5451 _launch_parser.add_option("-m", "--multicore", default=False, action='store_true',
5452 help="Submit the jobs on multicore mode")
5453 _launch_parser.add_option("-x", "--nocompile", default=False, action='store_true',
5454 help="Skip compilation. Ignored if no executable is found")
5455 _launch_parser.add_option("-r", "--reweightonly", default=False, action='store_true',
5456 help="Skip integration and event generation, just run reweight on the" + \
5457 " latest generated event files (see list in SubProcesses/nevents_unweighted)")
5458 _launch_parser.add_option("-p", "--parton", default=False, action='store_true',
5459 help="Stop the run after the parton level file generation (you need " + \
5460 "to shower the file in order to get physical results)")
5461 _launch_parser.add_option("-o", "--only_generation", default=False, action='store_true',
5462 help="Skip grid set up, just generate events starting from " + \
5463 "the last available results")
5464 _launch_parser.add_option("-n", "--name", default=False, dest='run_name',
5465 help="Provide a name to the run")
5466 _launch_parser.add_option("-a", "--appl_start_grid", default=False, dest='appl_start_grid',
5467 help="For use with APPLgrid only: start from existing grids")
5468 _launch_parser.add_option("-R", "--reweight", default=False, dest='do_reweight', action='store_true',
5469 help="Run the reweight module (reweighting by different model parameters)")
5470 _launch_parser.add_option("-M", "--madspin", default=False, dest='do_madspin', action='store_true',
5471 help="Run the madspin package")
5472
5473
5474
5475 _generate_events_usage = "generate_events [MODE] [options]\n" + \
5476 "-- execute aMC@NLO \n" + \
5477 " MODE can be either LO, NLO, aMC@NLO or aMC@LO (if omitted, it is asked in a separate question)\n" + \
5478 " If mode is set to LO/NLO, no event generation will be performed, but only the \n" + \
5479 " computation of the total cross section and the filling of parton-level histograms \n" + \
5480 " specified in the DIRPATH/SubProcesses/madfks_plot.f file.\n" + \
5481 " If mode is set to aMC@LO/aMC@NLO, after the cross-section computation, a .lhe \n" + \
5482 " event file is generated which will be showered with the MonteCarlo specified \n" + \
5483 " in the run_card.dat\n"
5484
5485 _generate_events_parser = misc.OptionParser(usage=_generate_events_usage)
5486 _generate_events_parser.add_option("-f", "--force", default=False, action='store_true',
5487 help="Use the card present in the directory for the generate_events, without editing them")
5488 _generate_events_parser.add_option("-c", "--cluster", default=False, action='store_true',
5489 help="Submit the jobs on the cluster")
5490 _generate_events_parser.add_option("-m", "--multicore", default=False, action='store_true',
5491 help="Submit the jobs on multicore mode")
5492 _generate_events_parser.add_option("-x", "--nocompile", default=False, action='store_true',
5493 help="Skip compilation. Ignored if no executable is found")
5494 _generate_events_parser.add_option("-r", "--reweightonly", default=False, action='store_true',
5495 help="Skip integration and event generation, just run reweight on the" + \
5496 " latest generated event files (see list in SubProcesses/nevents_unweighted)")
5497 _generate_events_parser.add_option("-p", "--parton", default=False, action='store_true',
5498 help="Stop the run after the parton level file generation (you need " + \
5499 "to shower the file in order to get physical results)")
5500 _generate_events_parser.add_option("-o", "--only_generation", default=False, action='store_true',
5501 help="Skip grid set up, just generate events starting from " + \
5502 "the last available results")
5503 _generate_events_parser.add_option("-n", "--name", default=False, dest='run_name',
5504 help="Provide a name to the run")
5505
5506
5507
5508 _calculate_xsect_usage = "calculate_xsect [ORDER] [options]\n" + \
5509 "-- calculate cross section up to ORDER.\n" + \
5510 " ORDER can be either LO or NLO (if omitted, it is set to NLO). \n"
5511
5512 _calculate_xsect_parser = misc.OptionParser(usage=_calculate_xsect_usage)
5513 _calculate_xsect_parser.add_option("-f", "--force", default=False, action='store_true',
5514 help="Use the card present in the directory for the launch, without editing them")
5515 _calculate_xsect_parser.add_option("-c", "--cluster", default=False, action='store_true',
5516 help="Submit the jobs on the cluster")
5517 _calculate_xsect_parser.add_option("-m", "--multicore", default=False, action='store_true',
5518 help="Submit the jobs on multicore mode")
5519 _calculate_xsect_parser.add_option("-x", "--nocompile", default=False, action='store_true',
5520 help="Skip compilation. Ignored if no executable is found")
5521 _calculate_xsect_parser.add_option("-n", "--name", default=False, dest='run_name',
5522 help="Provide a name to the run")
5523 _calculate_xsect_parser.add_option("-a", "--appl_start_grid", default=False, dest='appl_start_grid',
5524 help="For use with APPLgrid only: start from existing grids")
5525 _calculate_xsect_parser.add_option("-o", "--only_generation", default=False, action='store_true',
5526 help="Skip grid set up, just generate events starting from " + \
5527 "the last available results")
5528
5529 _shower_usage = 'shower run_name [options]\n' + \
5530 '-- do shower/hadronization on parton-level file generated for run run_name\n' + \
5531 ' all the information (e.g. number of events, MonteCarlo, ...\n' + \
5532 ' are directly read from the header of the event file\n'
5533 _shower_parser = misc.OptionParser(usage=_shower_usage)
5534 _shower_parser.add_option("-f", "--force", default=False, action='store_true',
5535 help="Use the shower_card present in the directory for the launch, without editing")
5536
5537 if '__main__' == __name__:
5538
5539
5540 import sys
5541 if not sys.version_info[0] == 2 or sys.version_info[1] < 6:
5542 sys.exit('MadGraph/MadEvent 5 works only with python 2.6 or later (but not python 3.X).\n'+\
5543 'Please upgrate your version of python.')
5544
5545 import os
5546 import optparse
5547
5548
5549 root_path = os.path.dirname(os.path.dirname(os.path.realpath( __file__ )))
5550 sys.path.insert(0, root_path)
5554 - def error(self, msg=''):
5556
5557 usage = "usage: %prog [options] [FILE] "
5558 parser = MyOptParser(usage=usage)
5559 parser.add_option("-l", "--logging", default='INFO',
5560 help="logging level (DEBUG|INFO|WARNING|ERROR|CRITICAL) [%default]")
5561 parser.add_option("","--web", action="store_true", default=False, dest='web', \
5562 help='force toce to be in secure mode')
5563 parser.add_option("","--debug", action="store_true", default=False, dest='debug', \
5564 help='force to launch debug mode')
5565 parser_error = ''
5566 done = False
5567
5568 for i in range(len(sys.argv)-1):
5569 try:
5570 (options, args) = parser.parse_args(sys.argv[1:len(sys.argv)-i])
5571 done = True
5572 except MyOptParser.InvalidOption, error:
5573 pass
5574 else:
5575 args += sys.argv[len(sys.argv)-i:]
5576 if not done:
5577
5578 try:
5579 (options, args) = parser.parse_args()
5580 except MyOptParser.InvalidOption, error:
5581 print error
5582 sys.exit(2)
5583
5584 if len(args) == 0:
5585 args = ''
5586
5587 import subprocess
5588 import logging
5589 import logging.config
5590
5591
5592 import internal.coloring_logging
5593 try:
5594 if __debug__ and options.logging == 'INFO':
5595 options.logging = 'DEBUG'
5596 if options.logging.isdigit():
5597 level = int(options.logging)
5598 else:
5599 level = eval('logging.' + options.logging)
5600 print os.path.join(root_path, 'internal', 'me5_logging.conf')
5601 logging.config.fileConfig(os.path.join(root_path, 'internal', 'me5_logging.conf'))
5602 logging.root.setLevel(level)
5603 logging.getLogger('madgraph').setLevel(level)
5604 except:
5605 raise
5606 pass
5607
5608
5609 try:
5610 if args:
5611
5612 if '--web' in args:
5613 i = args.index('--web')
5614 args.pop(i)
5615 cmd_line = aMCatNLOCmd(me_dir=os.path.dirname(root_path),force_run=True)
5616 else:
5617 cmd_line = aMCatNLOCmdShell(me_dir=os.path.dirname(root_path),force_run=True)
5618
5619 if not hasattr(cmd_line, 'do_%s' % args[0]):
5620 if parser_error:
5621 print parser_error
5622 print 'and %s can not be interpreted as a valid command.' % args[0]
5623 else:
5624 print 'ERROR: %s not a valid command. Please retry' % args[0]
5625 else:
5626 cmd_line.use_rawinput = False
5627 cmd_line.run_cmd(' '.join(args))
5628 cmd_line.run_cmd('quit')
5629
5630 except KeyboardInterrupt:
5631 print 'quit on KeyboardInterrupt'
5632 pass
5633