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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 self.switch['fixed_order'] = 'OFF'
1057
1059
1060 if switch_value in ['OFF']:
1061 return self.green % switch_value
1062 else:
1063 return self.red % switch_value
1064
1066
1067 if switch_value in ['ON']:
1068 return self.green % switch_value
1069 elif switch_value in self.get_allowed('shower'):
1070 return self.green % switch_value
1071 else:
1072 return self.red % switch_value
1073
1075 """ consistency_XX_YY(val_XX, val_YY)
1076 -> XX is the new key set by the user to a new value val_XX
1077 -> YY is another key set by the user.
1078 -> return value should be None or "replace_YY"
1079 """
1080
1081 if vfix == 'ON' and vshower != 'OFF' :
1082 return 'OFF'
1083 return None
1084
1085 consistency_fixed_order_madspin = consistency_fixed_order_shower
1086 consistency_fixed_order_reweight = consistency_fixed_order_shower
1087
1089
1090 if vfix == 'ON' and vma5 == 'ON' :
1091 return 'OFF'
1092 return None
1093
1094
1096 """ consistency_XX_YY(val_XX, val_YY)
1097 -> XX is the new key set by the user to a new value val_XX
1098 -> YY is another key set by the user.
1099 -> return value should be None or "replace_YY"
1100 """
1101
1102 if vshower != 'OFF' and vfix == 'ON':
1103 return 'OFF'
1104 return None
1105
1106 consistency_madspin_fixed_order = consistency_shower_fixed_order
1107 consistency_reweight_fixed_order = consistency_shower_fixed_order
1108 consistency_madanalysis_fixed_order = consistency_shower_fixed_order
1109
1110
1111
1112
1113
1115 """ """
1116
1117 if hasattr(self, 'allowed_shower'):
1118 return self.allowed_shower
1119
1120 if self.proc_characteristics['ninitial'] == 1:
1121 self.allowed_shower = ['OFF']
1122 return ['OFF']
1123 else:
1124 allowed = ['HERWIG6','OFF', 'PYTHIA6Q', 'PYTHIA6PT', ]
1125 if 'PY8' in self.available_module:
1126 allowed.append('PYTHIA8')
1127 if 'HW7' in self.available_module:
1128 allowed.append('HERWIGPP')
1129
1130 self.allowed_shower = allowed
1131
1132 return allowed
1133
1135 """ """
1136
1137 if value.upper() in self.get_allowed_shower():
1138 return True
1139 if value.upper() in ['PYTHIA8', 'HERWIGPP']:
1140 return True
1141 if value.upper() == 'ON':
1142 return self.run_card['parton_shower']
1143 if value.upper() in ['P8','PY8','PYTHIA_8']:
1144 return 'PYTHIA8'
1145 if value.upper() in ['PY6','P6','PY6PT', 'PYTHIA_6', 'PYTHIA_6PT','PYTHIA6PT','PYTHIA6_PT']:
1146 return 'PYTHIA6PT'
1147 if value.upper() in ['PY6Q', 'PYTHIA_6Q','PYTHIA6Q', 'PYTHIA6_Q']:
1148 return 'PYTHIA6Q'
1149 if value.upper() in ['HW7', 'HERWIG7']:
1150 return 'HERWIG7'
1151 if value.upper() in ['HW++', 'HWPP', 'HERWIG++']:
1152 return 'HERWIGPP'
1153 if value.upper() in ['HW6', 'HERWIG_6']:
1154 return 'HERWIG6'
1155
1157
1158 if self.last_mode in ['LO', 'NLO', 'noshower', 'noshowerLO']:
1159 self.switch['shower'] = 'OFF'
1160 return
1161
1162 if os.path.exists(pjoin(self.me_dir, 'Cards', 'shower_card.dat')):
1163 self.switch['shower'] = self.run_card['parton_shower']
1164
1165 self.switch['fixed_order'] = "OFF"
1166 else:
1167 self.switch['shower'] = 'OFF'
1168
1170 """ MA5 only possible with (N)LO+PS if shower is run"""
1171
1172 if vshower == 'OFF' and vma5 == 'ON':
1173 return 'OFF'
1174 return None
1175
1177
1178 if vma5=='ON' and vshower == 'OFF':
1179 return 'ON'
1180 return None
1181
1183 """ adpat run_card according to this setup. return list of cmd to run"""
1184
1185 if value != 'OFF':
1186 return ['set parton_shower %s' % self.switch['shower']]
1187 return []
1188
1189
1190
1191
1193 """ """
1194
1195 if hasattr(self, 'allowed_madspin'):
1196 return self.allowed_madspin
1197
1198 self.allowed_madspin = []
1199
1200
1201 if 'MadSpin' not in self.available_module:
1202 return self.allowed_madspin
1203 if self.proc_characteristics['ninitial'] == 1:
1204 self.available_module.remove('MadSpin')
1205 self.allowed_madspin = ['OFF']
1206 return self.allowed_madspin
1207 else:
1208 self.allowed_madspin = ['OFF', 'ON', 'onshell']
1209 return self.allowed_madspin
1210
1212 """handle alias and valid option not present in get_allowed_madspin
1213 remember that this mode should always be OFF for 1>N. (ON not in allowed value)"""
1214
1215 if value.upper() in self.get_allowed_madspin():
1216 if value == value.upper():
1217 return True
1218 else:
1219 return value.upper()
1220 elif value.lower() in self.get_allowed_madspin():
1221 if value == value.lower():
1222 return True
1223 else:
1224 return value.lower()
1225
1226 if 'MadSpin' not in self.available_module or \
1227 'ON' not in self.get_allowed_madspin():
1228 return False
1229
1230 if value.lower() in ['madspin', 'full']:
1231 return 'full'
1232 elif value.lower() in ['none']:
1233 return 'none'
1234
1236
1237 if 'MadSpin' in self.available_module:
1238 if os.path.exists(pjoin(self.me_dir,'Cards','madspin_card.dat')):
1239 self.switch['madspin'] = 'ON'
1240 else:
1241 self.switch['madspin'] = 'OFF'
1242 else:
1243 self.switch['madspin'] = 'Not Avail.'
1244
1246 """set some command to run before allowing the user to modify the cards."""
1247
1248 if value == 'onshell':
1249 return ["edit madspin_card --replace_line='set spinmode' --before_line='decay' set spinmode onshell"]
1250 elif value in ['full', 'madspin']:
1251 return ["edit madspin_card --replace_line='set spinmode' --before_line='decay' set spinmode madspin"]
1252 elif value == 'none':
1253 return ["edit madspin_card --replace_line='set spinmode' --before_line='decay' set spinmode none"]
1254 else:
1255 return []
1256
1257
1258
1259
1261 """set the valid (visible) options for reweight"""
1262
1263 if hasattr(self, 'allowed_reweight'):
1264 return getattr(self, 'allowed_reweight')
1265
1266 self.allowed_reweight = []
1267 if 'reweight' not in self.available_module:
1268 return self.allowed_reweight
1269 if self.proc_characteristics['ninitial'] == 1:
1270 self.available_module.remove('reweight')
1271 self.allowed_reweight.append('OFF')
1272 return self.allowed_reweight
1273 else:
1274 self.allowed_reweight = [ 'OFF', 'ON', 'NLO', 'NLO_TREE','LO']
1275 return self.allowed_reweight
1276
1278 """initialise the switch for reweight"""
1279
1280 if 'reweight' in self.available_module:
1281 if os.path.exists(pjoin(self.me_dir,'Cards','reweight_card.dat')):
1282 self.switch['reweight'] = 'ON'
1283 else:
1284 self.switch['reweight'] = 'OFF'
1285 else:
1286 self.switch['reweight'] = 'Not Avail.'
1287
1289 """ adpat run_card according to this setup. return list of cmd to run"""
1290
1291 if value == 'LO':
1292 return ["edit reweight_card --replace_line='change mode' --before_line='launch' change mode LO"]
1293 elif value == 'NLO':
1294 return ["edit reweight_card --replace_line='change mode' --before_line='launch' change mode NLO",
1295 "set store_rwgt_info T"]
1296 elif value == 'NLO_TREE':
1297 return ["edit reweight_card --replace_line='change mode' --before_line='launch' change mode NLO_tree",
1298 "set store_rwgt_info T"]
1299 return []
1300
1301
1302
1303
1305
1306 if hasattr(self, 'allowed_madanalysis'):
1307 return self.allowed_madanalysis
1308
1309 self.allowed_madanalysis = []
1310
1311
1312 if 'MA5' not in self.available_module:
1313 return self.allowed_madanalysis
1314
1315 if self.proc_characteristics['ninitial'] == 1:
1316 self.available_module.remove('MA5')
1317 self.allowed_madanalysis = ['OFF']
1318 return self.allowed_madanalysis
1319 else:
1320 self.allowed_madanalysis = ['OFF', 'ON']
1321 return self.allowed_madanalysis
1322
1324 """initialise the switch for reweight"""
1325
1326 if 'MA5' not in self.available_module:
1327 self.switch['madanalysis'] = 'Not Avail.'
1328 elif os.path.exists(pjoin(self.me_dir,'Cards', 'madanalysis5_hadron_card.dat')):
1329 self.switch['madanalysis'] = 'ON'
1330 else:
1331 self.switch['madanalysis'] = 'OFF'
1332
1334 """check an entry is valid. return the valid entry in case of shortcut"""
1335
1336 if value.upper() in self.get_allowed('madanalysis'):
1337 return True
1338 value = value.lower()
1339 if value == 'hadron':
1340 return 'ON' if 'ON' in self.get_allowed_madanalysis5 else False
1341 else:
1342 return False
1343
1344
1345
1346
1347
1348 -class aMCatNLOCmd(CmdExtended, HelpToCmd, CompleteForCmd, common_run.CommonRunCmd):
1349 """The command line processor of MadGraph"""
1350
1351
1352 true = ['T','.true.',True,'true']
1353
1354 _run_options = ['--cluster','--multicore','--nb_core=','--nb_core=2', '-c', '-m']
1355 _generate_options = ['-f', '--laststep=parton', '--laststep=pythia', '--laststep=pgs', '--laststep=delphes']
1356 _calculate_decay_options = ['-f', '--accuracy=0.']
1357 _set_options = ['stdout_level','fortran_compiler','cpp_compiler','timeout']
1358 _plot_mode = ['all', 'parton','shower','pgs','delphes']
1359 _clean_mode = _plot_mode + ['channel', 'banner']
1360 _display_opts = ['run_name', 'options', 'variable']
1361
1362
1363 web = False
1364 cluster_mode = 0
1365 queue = 'madgraph'
1366 nb_core = None
1367 make_opts_var = {}
1368
1369 next_possibility = {
1370 'start': ['generate_events [OPTIONS]', 'calculate_crossx [OPTIONS]', 'launch [OPTIONS]',
1371 'help generate_events'],
1372 'generate_events': ['generate_events [OPTIONS]', 'shower'],
1373 'launch': ['launch [OPTIONS]', 'shower'],
1374 'shower' : ['generate_events [OPTIONS]']
1375 }
1376
1377
1378
1379 - def __init__(self, me_dir = None, options = {}, *completekey, **stdin):
1380 """ add information to the cmd """
1381
1382 self.start_time = 0
1383 CmdExtended.__init__(self, me_dir, options, *completekey, **stdin)
1384
1385
1386 self.mode = 'aMCatNLO'
1387 self.nb_core = 0
1388 self.prompt = "%s>"%os.path.basename(pjoin(self.me_dir))
1389
1390
1391 self.load_results_db()
1392 self.results.def_web_mode(self.web)
1393
1394 proc_card = open(pjoin(self.me_dir, 'Cards', 'proc_card_mg5.dat')).read()
1395
1396 if not '[real=QCD]' in proc_card:
1397 check_compiler(self.options, block=True)
1398
1399
1400
1402 """ run the shower on a given parton level file """
1403 argss = self.split_arg(line)
1404 (options, argss) = _launch_parser.parse_args(argss)
1405
1406 options = options.__dict__
1407 options['reweightonly'] = False
1408 self.check_shower(argss, options)
1409 evt_file = pjoin(os.getcwd(), argss[0], 'events.lhe')
1410 self.ask_run_configuration('onlyshower', options)
1411 self.run_mcatnlo(evt_file, options)
1412
1413 self.update_status('', level='all', update_results=True)
1414
1415
1417 """Create the plot for a given run"""
1418
1419
1420 args = self.split_arg(line)
1421
1422 self.check_plot(args)
1423 logger.info('plot for run %s' % self.run_name)
1424
1425 if not self.force:
1426 self.ask_edit_cards([], args, plot=True)
1427
1428 if any([arg in ['parton'] for arg in args]):
1429 filename = pjoin(self.me_dir, 'Events', self.run_name, 'events.lhe')
1430 if os.path.exists(filename+'.gz'):
1431 misc.gunzip(filename)
1432 if os.path.exists(filename):
1433 logger.info('Found events.lhe file for run %s' % self.run_name)
1434 shutil.move(filename, pjoin(self.me_dir, 'Events', 'unweighted_events.lhe'))
1435 self.create_plot('parton')
1436 shutil.move(pjoin(self.me_dir, 'Events', 'unweighted_events.lhe'), filename)
1437 misc.gzip(filename)
1438
1439 if any([arg in ['all','parton'] for arg in args]):
1440 filename = pjoin(self.me_dir, 'Events', self.run_name, 'MADatNLO.top')
1441 if os.path.exists(filename):
1442 logger.info('Found MADatNLO.top file for run %s' % \
1443 self.run_name)
1444 output = pjoin(self.me_dir, 'HTML',self.run_name, 'plots_parton.html')
1445 plot_dir = pjoin(self.me_dir, 'HTML', self.run_name, 'plots_parton')
1446
1447 if not os.path.isdir(plot_dir):
1448 os.makedirs(plot_dir)
1449 top_file = pjoin(plot_dir, 'plots.top')
1450 files.cp(filename, top_file)
1451 madir = self.options['madanalysis_path']
1452 tag = self.run_card['run_tag']
1453 td = self.options['td_path']
1454 misc.call(['%s/plot' % self.dirbin, madir, td],
1455 stdout = open(pjoin(plot_dir, 'plot.log'),'a'),
1456 stderr = subprocess.STDOUT,
1457 cwd=plot_dir)
1458
1459 misc.call(['%s/plot_page-pl' % self.dirbin,
1460 os.path.basename(plot_dir),
1461 'parton'],
1462 stdout = open(pjoin(plot_dir, 'plot.log'),'a'),
1463 stderr = subprocess.STDOUT,
1464 cwd=pjoin(self.me_dir, 'HTML', self.run_name))
1465 shutil.move(pjoin(self.me_dir, 'HTML',self.run_name ,'plots.html'),
1466 output)
1467
1468 os.remove(pjoin(self.me_dir, 'Events', 'plots.top'))
1469
1470 if any([arg in ['all','shower'] for arg in args]):
1471 filenames = misc.glob('events_*.lhe.gz', pjoin(self.me_dir, 'Events', self.run_name))
1472 if len(filenames) != 1:
1473 filenames = misc.glob('events_*.hep.gz', pjoin(self.me_dir, 'Events', self.run_name))
1474 if len(filenames) != 1:
1475 logger.info('No shower level file found for run %s' % \
1476 self.run_name)
1477 return
1478 filename = filenames[0]
1479 misc.gunzip(filename, keep=True, stdout=pjoin(self.me_dir, 'Events','pythia_events.hep'))
1480
1481 if not os.path.exists(pjoin(self.me_dir, 'Cards', 'pythia_card.dat')):
1482 if aMCatNLO and not self.options['mg5_path']:
1483 raise "plotting NLO HEP file needs MG5 utilities"
1484
1485 files.cp(pjoin(self.options['mg5_path'], 'Template','LO', 'Cards', 'pythia_card_default.dat'),
1486 pjoin(self.me_dir, 'Cards', 'pythia_card.dat'))
1487 self.run_hep2lhe()
1488 else:
1489 filename = filenames[0]
1490 misc.gunzip(filename, keep=True, stdout=pjoin(self.me_dir, 'Events','pythia_events.hep'))
1491
1492 self.create_plot('shower')
1493 lhe_file_name = filename.replace('.hep.gz', '.lhe')
1494 shutil.move(pjoin(self.me_dir, 'Events','pythia_events.lhe'),
1495 lhe_file_name)
1496 misc.gzip(lhe_file_name)
1497
1498 if any([arg in ['all','pgs'] for arg in args]):
1499 filename = pjoin(self.me_dir, 'Events', self.run_name,
1500 '%s_pgs_events.lhco' % self.run_tag)
1501 if os.path.exists(filename+'.gz'):
1502 misc.gunzip(filename)
1503 if os.path.exists(filename):
1504 self.create_plot('PGS')
1505 misc.gzip(filename)
1506 else:
1507 logger.info('No valid files for pgs plot')
1508
1509 if any([arg in ['all','delphes'] for arg in args]):
1510 filename = pjoin(self.me_dir, 'Events', self.run_name,
1511 '%s_delphes_events.lhco' % self.run_tag)
1512 if os.path.exists(filename+'.gz'):
1513 misc.gunzip(filename)
1514 if os.path.exists(filename):
1515
1516 self.create_plot('Delphes')
1517
1518 misc.gzip(filename)
1519 else:
1520 logger.info('No valid files for delphes plot')
1521
1522
1523
1525 """Main commands: calculates LO/NLO cross-section, using madevent_mintFO
1526 this function wraps the do_launch one"""
1527
1528 self.start_time = time.time()
1529 argss = self.split_arg(line)
1530
1531 (options, argss) = _calculate_xsect_parser.parse_args(argss)
1532 options = options.__dict__
1533 options['reweightonly'] = False
1534 options['parton'] = True
1535 self.check_calculate_xsect(argss, options)
1536 self.do_launch(line, options, argss)
1537
1538
1540 """Make a run from the banner file"""
1541
1542 args = self.split_arg(line)
1543
1544 self.check_banner_run(args)
1545
1546
1547 for name in ['shower_card.dat', 'madspin_card.dat']:
1548 try:
1549 os.remove(pjoin(self.me_dir, 'Cards', name))
1550 except Exception:
1551 pass
1552
1553 banner_mod.split_banner(args[0], self.me_dir, proc_card=False)
1554
1555
1556 if not self.force:
1557 ans = self.ask('Do you want to modify the Cards/Run Type?', 'n', ['y','n'])
1558 if ans == 'n':
1559 self.force = True
1560
1561
1562 if self.force:
1563 mode_status = {'order': 'NLO', 'fixed_order': False, 'madspin':False, 'shower':True}
1564 banner = banner_mod.Banner(args[0])
1565 for line in banner['run_settings']:
1566 if '=' in line:
1567 mode, value = [t.strip() for t in line.split('=')]
1568 mode_status[mode] = value
1569 else:
1570 mode_status = {}
1571
1572
1573 self.do_launch('-n %s %s' % (self.run_name, '-f' if self.force else ''),
1574 switch=mode_status)
1575
1576
1578 """Main commands: generate events
1579 this function just wraps the do_launch one"""
1580 self.do_launch(line)
1581
1582
1583
1585 """Advanced commands: this is for creating the correct run_card.inc from the nlo format"""
1586
1587 self.check_param_card(pjoin(self.me_dir, 'Cards','param_card.dat'))
1588
1589
1590
1591
1592
1593 if mode in ['LO', 'NLO']:
1594 name = 'fo_lhe_weight_ratio'
1595 FO_card = analyse_card.FOAnalyseCard(pjoin(self.me_dir,'Cards', 'FO_analyse_card.dat'))
1596 if name in FO_card:
1597 self.run_card.set(name, FO_card[name], user=False)
1598 name = 'fo_lhe_postprocessing'
1599 if name in FO_card:
1600 self.run_card.set(name, FO_card[name], user=False)
1601
1602 return super(aMCatNLOCmd,self).do_treatcards(line, amcatnlo)
1603
1604
1606 """assign all configuration variable from file
1607 loop over the different config file if config_file not define """
1608 return super(aMCatNLOCmd,self).set_configuration(amcatnlo=amcatnlo, **opt)
1609
1610
1611 - def do_launch(self, line, options={}, argss=[], switch={}):
1612 """Main commands: launch the full chain
1613 options and args are relevant if the function is called from other
1614 functions, such as generate_events or calculate_xsect
1615 mode gives the list of switch needed for the computation (usefull for banner_run)
1616 """
1617
1618 if not argss and not options:
1619 self.start_time = time.time()
1620 argss = self.split_arg(line)
1621
1622 (options, argss) = _launch_parser.parse_args(argss)
1623 options = options.__dict__
1624 self.check_launch(argss, options)
1625
1626
1627 if 'run_name' in options.keys() and options['run_name']:
1628 self.run_name = options['run_name']
1629
1630
1631 if os.path.isdir(pjoin(self.me_dir, 'Events', self.run_name)):
1632 logger.warning('Removing old run information in \n'+
1633 pjoin(self.me_dir, 'Events', self.run_name))
1634 files.rm(pjoin(self.me_dir, 'Events', self.run_name))
1635 self.results.delete_run(self.run_name)
1636 else:
1637 self.run_name = ''
1638
1639 if options['multicore']:
1640 self.cluster_mode = 2
1641 elif options['cluster']:
1642 self.cluster_mode = 1
1643
1644 if not switch:
1645 mode = argss[0]
1646
1647 if mode in ['LO', 'NLO']:
1648 options['parton'] = True
1649 mode = self.ask_run_configuration(mode, options)
1650 else:
1651 mode = self.ask_run_configuration('auto', options, switch)
1652
1653 self.results.add_detail('run_mode', mode)
1654
1655 self.update_status('Starting run', level=None, update_results=True)
1656
1657 if self.options['automatic_html_opening']:
1658 misc.open_file(os.path.join(self.me_dir, 'crossx.html'))
1659 self.options['automatic_html_opening'] = False
1660
1661 if '+' in mode:
1662 mode = mode.split('+')[0]
1663 self.compile(mode, options)
1664 evt_file = self.run(mode, options)
1665
1666 if self.run_card['nevents'] == 0 and not mode in ['LO', 'NLO']:
1667 logger.info('No event file generated: grids have been set-up with a '\
1668 'relative precision of %s' % self.run_card['req_acc'])
1669 return
1670
1671 if not mode in ['LO', 'NLO']:
1672 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'))
1673
1674 if self.run_card['systematics_program'] == 'systematics':
1675 self.exec_cmd('systematics %s %s ' % (self.run_name, ' '.join(self.run_card['systematics_arguments'])))
1676
1677 self.exec_cmd('reweight -from_cards', postcmd=False)
1678 self.exec_cmd('decay_events -from_cards', postcmd=False)
1679 evt_file = pjoin(self.me_dir,'Events', self.run_name, 'events.lhe')
1680
1681 if not mode in ['LO', 'NLO', 'noshower', 'noshowerLO'] \
1682 and not options['parton']:
1683 self.run_mcatnlo(evt_file, options)
1684 self.exec_cmd('madanalysis5_hadron --no_default', postcmd=False, printcmd=False)
1685
1686 elif mode == 'noshower':
1687 logger.warning("""You have chosen not to run a parton shower. NLO events without showering are NOT physical.
1688 Please, shower the Les Houches events before using them for physics analyses.""")
1689
1690
1691 self.update_status('', level='all', update_results=True)
1692 if self.run_card['ickkw'] == 3 and \
1693 (mode in ['noshower'] or \
1694 (('PYTHIA8' not in self.run_card['parton_shower'].upper()) and (mode in ['aMC@NLO']))):
1695 logger.warning("""You are running with FxFx merging enabled.
1696 To be able to merge samples of various multiplicities without double counting,
1697 you have to remove some events after showering 'by hand'.
1698 Please read http://amcatnlo.cern.ch/FxFx_merging.htm for more details.""")
1699
1700 self.store_result()
1701
1702 if self.param_card_iterator:
1703 cpath = pjoin(self.me_dir,'Cards','param_card.dat')
1704 param_card_iterator = self.param_card_iterator
1705 self.param_card_iterator = []
1706 param_card_iterator.store_entry(self.run_name, self.results.current['cross'],
1707 error=self.results.current['error'],
1708 param_card_path=cpath)
1709 orig_name = self.run_name
1710
1711 with misc.TMP_variable(self, 'allow_notification_center', False):
1712 for i,card in enumerate(param_card_iterator):
1713 card.write(cpath)
1714 self.check_param_card(cpath, dependent=True)
1715 if not options['force']:
1716 options['force'] = True
1717 if options['run_name']:
1718 options['run_name'] = '%s_%s' % (orig_name, i+1)
1719 if not argss:
1720 argss = [mode, "-f"]
1721 elif argss[0] == "auto":
1722 argss[0] = mode
1723 self.do_launch("", options=options, argss=argss, switch=switch)
1724
1725 param_card_iterator.store_entry(self.run_name, self.results.current['cross'],
1726 error=self.results.current['error'],
1727 param_card_path=cpath)
1728
1729 param_card_iterator.write(pjoin(self.me_dir,'Cards','param_card.dat'))
1730 name = misc.get_scan_name(orig_name, self.run_name)
1731 path = pjoin(self.me_dir, 'Events','scan_%s.txt' % name)
1732 logger.info("write all cross-section results in %s" % path, '$MG:BOLD')
1733 param_card_iterator.write_summary(path)
1734
1735 if self.allow_notification_center:
1736 misc.apple_notify('Run %s finished' % os.path.basename(self.me_dir),
1737 '%s: %s +- %s ' % (self.results.current['run_name'],
1738 self.results.current['cross'],
1739 self.results.current['error']))
1740
1741
1742
1744 """Advanced commands: just compile the executables """
1745 argss = self.split_arg(line)
1746
1747 (options, argss) = _compile_parser.parse_args(argss)
1748 options = options.__dict__
1749 options['reweightonly'] = False
1750 options['nocompile'] = False
1751 self.check_compile(argss, options)
1752
1753 mode = {'FO': 'NLO', 'MC': 'aMC@NLO'}[argss[0]]
1754 self.ask_run_configuration(mode, options)
1755 self.compile(mode, options)
1756
1757
1758 self.update_status('', level='all', update_results=True)
1759
1760
1762 """Update random number seed with the value from the run_card.
1763 If this is 0, update the number according to a fresh one"""
1764 iseed = self.run_card['iseed']
1765 if iseed == 0:
1766 randinit = open(pjoin(self.me_dir, 'SubProcesses', 'randinit'))
1767 iseed = int(randinit.read()[2:]) + 1
1768 randinit.close()
1769 randinit = open(pjoin(self.me_dir, 'SubProcesses', 'randinit'), 'w')
1770 randinit.write('r=%d' % iseed)
1771 randinit.close()
1772
1773
1774 - def run(self, mode, options):
1775 """runs aMC@NLO. Returns the name of the event file created"""
1776 logger.info('Starting run')
1777
1778 if not 'only_generation' in options.keys():
1779 options['only_generation'] = False
1780
1781
1782 if mode in ['LO', 'NLO'] and self.run_card['iappl'] == 2 and not options['only_generation']:
1783 options['only_generation'] = True
1784 self.get_characteristics(pjoin(self.me_dir, 'SubProcesses', 'proc_characteristics'))
1785 self.setup_cluster_or_multicore()
1786 self.update_random_seed()
1787
1788 folder_names = {'LO': ['born_G*'], 'NLO': ['all_G*'],
1789 'aMC@LO': ['GB*'], 'aMC@NLO': ['GF*']}
1790 folder_names['noshower'] = folder_names['aMC@NLO']
1791 folder_names['noshowerLO'] = folder_names['aMC@LO']
1792 p_dirs = [d for d in \
1793 open(pjoin(self.me_dir, 'SubProcesses', 'subproc.mg')).read().split('\n') if d]
1794
1795 self.clean_previous_results(options,p_dirs,folder_names[mode])
1796
1797 mcatnlo_status = ['Setting up grids', 'Computing upper envelope', 'Generating events']
1798
1799
1800 if options['reweightonly']:
1801 event_norm=self.run_card['event_norm']
1802 nevents=self.run_card['nevents']
1803 return self.reweight_and_collect_events(options, mode, nevents, event_norm)
1804
1805 if mode in ['LO', 'NLO']:
1806
1807 mode_dict = {'NLO': 'all', 'LO': 'born'}
1808 logger.info('Doing fixed order %s' % mode)
1809 req_acc = self.run_card['req_acc_FO']
1810
1811
1812
1813 if self.run_card['iappl'] == 2:
1814 self.applgrid_distribute(options,mode_dict[mode],p_dirs)
1815
1816
1817
1818 integration_step=-1
1819 jobs_to_run,jobs_to_collect,integration_step = self.create_jobs_to_run(options,p_dirs, \
1820 req_acc,mode_dict[mode],integration_step,mode,fixed_order=True)
1821 self.prepare_directories(jobs_to_run,mode)
1822
1823
1824
1825
1826 while True:
1827 integration_step=integration_step+1
1828 self.run_all_jobs(jobs_to_run,integration_step)
1829 self.collect_log_files(jobs_to_run,integration_step)
1830 jobs_to_run,jobs_to_collect=self.collect_the_results(options,req_acc,jobs_to_run, \
1831 jobs_to_collect,integration_step,mode,mode_dict[mode])
1832 if not jobs_to_run:
1833
1834 break
1835
1836 self.finalise_run_FO(folder_names[mode],jobs_to_collect)
1837 self.update_status('Run complete', level='parton', update_results=True)
1838 return
1839
1840 elif mode in ['aMC@NLO','aMC@LO','noshower','noshowerLO']:
1841 if self.ninitial == 1:
1842 raise aMCatNLOError('Decay processes can only be run at fixed order.')
1843 mode_dict = {'aMC@NLO': 'all', 'aMC@LO': 'born',\
1844 'noshower': 'all', 'noshowerLO': 'born'}
1845 shower = self.run_card['parton_shower'].upper()
1846 nevents = self.run_card['nevents']
1847 req_acc = self.run_card['req_acc']
1848 if nevents == 0 and req_acc < 0 :
1849 raise aMCatNLOError('Cannot determine the required accuracy from the number '\
1850 'of events, because 0 events requested. Please set '\
1851 'the "req_acc" parameter in the run_card to a value '\
1852 'between 0 and 1')
1853 elif req_acc >1 or req_acc == 0 :
1854 raise aMCatNLOError('Required accuracy ("req_acc" in the run_card) should '\
1855 'be between larger than 0 and smaller than 1, '\
1856 'or set to -1 for automatic determination. Current '\
1857 'value is %f' % req_acc)
1858
1859 elif req_acc < 0 and nevents > 1000000 :
1860 req_acc=0.001
1861
1862 shower_list = ['HERWIG6', 'HERWIGPP', 'PYTHIA6Q', 'PYTHIA6PT', 'PYTHIA8']
1863
1864 if not shower in shower_list:
1865 raise aMCatNLOError('%s is not a valid parton shower. '\
1866 'Please use one of the following: %s' \
1867 % (shower, ', '.join(shower_list)))
1868
1869
1870 if shower == 'PYTHIA6PT' and self.proc_characteristics['has_fsr']:
1871 raise aMCatNLOError('PYTHIA6PT does not support processes with FSR')
1872
1873 if mode in ['aMC@NLO', 'aMC@LO']:
1874 logger.info('Doing %s matched to parton shower' % mode[4:])
1875 elif mode in ['noshower','noshowerLO']:
1876 logger.info('Generating events without running the shower.')
1877 elif options['only_generation']:
1878 logger.info('Generating events starting from existing results')
1879
1880 jobs_to_run,jobs_to_collect,integration_step = self.create_jobs_to_run(options,p_dirs, \
1881 req_acc,mode_dict[mode],1,mode,fixed_order=False)
1882
1883 if options['only_generation']:
1884 jobs_to_run,jobs_to_collect=self.collect_the_results(options,req_acc,jobs_to_run, \
1885 jobs_to_collect,1,mode,mode_dict[mode],fixed_order=False)
1886 else:
1887 self.prepare_directories(jobs_to_run,mode,fixed_order=False)
1888
1889
1890
1891 for mint_step, status in enumerate(mcatnlo_status):
1892 if options['only_generation'] and mint_step < 2:
1893 continue
1894 self.update_status(status, level='parton')
1895 self.run_all_jobs(jobs_to_run,mint_step,fixed_order=False)
1896 self.collect_log_files(jobs_to_run,mint_step)
1897 jobs_to_run,jobs_to_collect=self.collect_the_results(options,req_acc,jobs_to_run, \
1898 jobs_to_collect,mint_step,mode,mode_dict[mode],fixed_order=False)
1899 if mint_step+1==2 and nevents==0:
1900 self.print_summary(options,2,mode)
1901 return
1902
1903
1904 self.check_event_files(jobs_to_collect)
1905
1906 if self.cluster_mode == 1:
1907
1908 self.update_status(
1909 'Waiting while files are transferred back from the cluster nodes',
1910 level='parton')
1911 time.sleep(10)
1912
1913 event_norm=self.run_card['event_norm']
1914 return self.reweight_and_collect_events(options, mode, nevents, event_norm)
1915
1916 - def create_jobs_to_run(self,options,p_dirs,req_acc,run_mode,\
1917 integration_step,mode,fixed_order=True):
1918 """Creates a list of dictionaries with all the jobs to be run"""
1919 jobs_to_run=[]
1920 if not options['only_generation']:
1921
1922
1923
1924 npoints = self.run_card['npoints_FO_grid']
1925 niters = self.run_card['niters_FO_grid']
1926 for p_dir in p_dirs:
1927 try:
1928 with open(pjoin(self.me_dir,'SubProcesses',p_dir,'channels.txt')) as chan_file:
1929 channels=chan_file.readline().split()
1930 except IOError:
1931 logger.warning('No integration channels found for contribution %s' % p_dir)
1932 continue
1933 if fixed_order:
1934 lch=len(channels)
1935 maxchannels=20
1936 if self.run_card['iappl'] != 0: maxchannels=1
1937 njobs=(int(lch/maxchannels)+1 if lch%maxchannels!= 0 \
1938 else int(lch/maxchannels))
1939 for nj in range(1,njobs+1):
1940 job={}
1941 job['p_dir']=p_dir
1942 job['channel']=str(nj)
1943 job['nchans']=(int(lch/njobs)+1 if nj <= lch%njobs else int(lch/njobs))
1944 job['configs']=' '.join(channels[:job['nchans']])
1945 del channels[:job['nchans']]
1946 job['split']=0
1947 if req_acc == -1:
1948 job['accuracy']=0
1949 job['niters']=niters
1950 job['npoints']=npoints
1951 elif req_acc > 0:
1952 job['accuracy']=0.05
1953 job['niters']=6
1954 job['npoints']=-1
1955 else:
1956 raise aMCatNLOError('No consistent "req_acc_FO" set. Use a value '+
1957 'between 0 and 1 or set it equal to -1.')
1958 job['mint_mode']=0
1959 job['run_mode']=run_mode
1960 job['wgt_frac']=1.0
1961 job['wgt_mult']=1.0
1962 jobs_to_run.append(job)
1963 if channels:
1964 raise aMCatNLOError('channels is not empty %s' % channels)
1965 else:
1966 for channel in channels:
1967 job={}
1968 job['p_dir']=p_dir
1969 job['channel']=channel
1970 job['split']=0
1971 job['accuracy']=0.03
1972 job['niters']=12
1973 job['npoints']=-1
1974 job['mint_mode']=0
1975 job['run_mode']=run_mode
1976 job['wgt_frac']=1.0
1977 jobs_to_run.append(job)
1978 jobs_to_collect=copy.copy(jobs_to_run)
1979 else:
1980
1981 try:
1982 with open(pjoin(self.me_dir,"SubProcesses","job_status.pkl"),'rb') as f:
1983 jobs_to_collect=pickle.load(f)
1984 for job in jobs_to_collect:
1985 job['dirname']=pjoin(self.me_dir,'SubProcesses',job['dirname'].rsplit('/SubProcesses/',1)[1])
1986 jobs_to_run=copy.copy(jobs_to_collect)
1987 except:
1988 raise aMCatNLOError('Cannot reconstruct saved job status in %s' % \
1989 pjoin(self.me_dir,'SubProcesses','job_status.pkl'))
1990
1991 if fixed_order:
1992 jobs_to_run,jobs_to_collect=self.collect_the_results(options,req_acc,jobs_to_run,
1993 jobs_to_collect,integration_step,mode,run_mode)
1994
1995 integration_step=1
1996 for job in jobs_to_run:
1997 while os.path.exists(pjoin(job['dirname'],'res_%s.dat' % integration_step)):
1998 integration_step=integration_step+1
1999 integration_step=integration_step-1
2000 else:
2001 self.append_the_results(jobs_to_collect,integration_step)
2002 return jobs_to_run,jobs_to_collect,integration_step
2003
2005 """Set-up the G* directories for running"""
2006 name_suffix={'born' :'B' , 'all':'F'}
2007 for job in jobs_to_run:
2008 if job['split'] == 0:
2009 if fixed_order :
2010 dirname=pjoin(self.me_dir,'SubProcesses',job['p_dir'],
2011 job['run_mode']+'_G'+job['channel'])
2012 else:
2013 dirname=pjoin(self.me_dir,'SubProcesses',job['p_dir'],
2014 'G'+name_suffix[job['run_mode']]+job['channel'])
2015 else:
2016 if fixed_order :
2017 dirname=pjoin(self.me_dir,'SubProcesses',job['p_dir'],
2018 job['run_mode']+'_G'+job['channel']+'_'+str(job['split']))
2019 else:
2020 dirname=pjoin(self.me_dir,'SubProcesses',job['p_dir'],
2021 'G'+name_suffix[job['run_mode']]+job['channel']+'_'+str(job['split']))
2022 job['dirname']=dirname
2023 if not os.path.isdir(dirname):
2024 os.makedirs(dirname)
2025 self.write_input_file(job,fixed_order)
2026
2027 if not fixed_order:
2028 if job['split'] != 0:
2029 for f in ['grid.MC_integer','mint_grids','res_1']:
2030 if not os.path.isfile(pjoin(job['dirname'],f)):
2031 files.ln(pjoin(job['dirname'].rsplit("_",1)[0],f),job['dirname'])
2032 else:
2033 if job['split'] != 0:
2034 for f in ['grid.MC_integer','mint_grids']:
2035 files.cp(pjoin(job['dirname'].rsplit("_",1)[0],f),job['dirname'])
2036
2037
2072
2073
2074 - def run_all_jobs(self,jobs_to_run,integration_step,fixed_order=True):
2075 """Loops over the jobs_to_run and executes them using the function 'run_exe'"""
2076 if fixed_order:
2077 if integration_step == 0:
2078 self.update_status('Setting up grids', level=None)
2079 else:
2080 self.update_status('Refining results, step %i' % integration_step, level=None)
2081 self.ijob = 0
2082 name_suffix={'born' :'B', 'all':'F'}
2083 if fixed_order:
2084 run_type="Fixed order integration step %s" % integration_step
2085 else:
2086 run_type="MINT step %s" % integration_step
2087 self.njobs=len(jobs_to_run)
2088 for job in jobs_to_run:
2089 executable='ajob1'
2090 if fixed_order:
2091 arguments=[job['channel'],job['run_mode'], \
2092 str(job['split']),str(integration_step)]
2093 else:
2094 arguments=[job['channel'],name_suffix[job['run_mode']], \
2095 str(job['split']),str(integration_step)]
2096 self.run_exe(executable,arguments,run_type,
2097 cwd=pjoin(self.me_dir,'SubProcesses',job['p_dir']))
2098
2099 if self.cluster_mode == 2:
2100 time.sleep(1)
2101 self.wait_for_complete(run_type)
2102
2103
2104 - def collect_the_results(self,options,req_acc,jobs_to_run,jobs_to_collect,\
2105 integration_step,mode,run_mode,fixed_order=True):
2106 """Collect the results, make HTML pages, print the summary and
2107 determine if there are more jobs to run. Returns the list
2108 of the jobs that still need to be run, as well as the
2109 complete list of jobs that need to be collected to get the
2110 final answer.
2111 """
2112
2113 self.append_the_results(jobs_to_run,integration_step)
2114 self.cross_sect_dict = self.write_res_txt_file(jobs_to_collect,integration_step)
2115
2116 if fixed_order:
2117 cross, error = self.make_make_all_html_results(folder_names=['%s*' % run_mode],
2118 jobs=jobs_to_collect)
2119 else:
2120 name_suffix={'born' :'B' , 'all':'F'}
2121 cross, error = self.make_make_all_html_results(folder_names=['G%s*' % name_suffix[run_mode]])
2122 self.results.add_detail('cross', cross)
2123 self.results.add_detail('error', error)
2124
2125 if fixed_order:
2126 jobs_to_run=self.combine_split_order_run(jobs_to_run)
2127
2128 jobs_to_run_new=self.update_jobs_to_run(req_acc,integration_step,jobs_to_run,fixed_order)
2129
2130 if fixed_order:
2131
2132
2133 with open(pjoin(self.me_dir,"SubProcesses","job_status.pkl"),'wb') as f:
2134 pickle.dump(jobs_to_collect,f)
2135
2136 if (not jobs_to_run_new) and fixed_order:
2137
2138 scale_pdf_info=self.collect_scale_pdf_info(options,jobs_to_collect)
2139 self.print_summary(options,integration_step,mode,scale_pdf_info,done=True)
2140 return jobs_to_run_new,jobs_to_collect
2141 elif jobs_to_run_new:
2142
2143 scale_pdf_info=[]
2144 self.print_summary(options,integration_step,mode,scale_pdf_info,done=False)
2145 else:
2146
2147
2148
2149 scale_pdf_info=[]
2150
2151 if (not fixed_order) and integration_step+1 == 2 :
2152
2153
2154 with open(pjoin(self.me_dir,"SubProcesses","job_status.pkl"),'wb') as f:
2155 pickle.dump(jobs_to_collect,f)
2156
2157 jobs_to_run_new,jobs_to_collect_new= \
2158 self.check_the_need_to_split(jobs_to_run_new,jobs_to_collect)
2159 self.prepare_directories(jobs_to_run_new,mode,fixed_order)
2160 self.write_nevents_unweighted_file(jobs_to_collect_new,jobs_to_collect)
2161 self.write_nevts_files(jobs_to_run_new)
2162 else:
2163 if fixed_order and self.run_card['iappl'] == 0 \
2164 and self.run_card['req_acc_FO'] > 0:
2165 jobs_to_run_new,jobs_to_collect= \
2166 self.split_jobs_fixed_order(jobs_to_run_new,jobs_to_collect)
2167 self.prepare_directories(jobs_to_run_new,mode,fixed_order)
2168 jobs_to_collect_new=jobs_to_collect
2169 return jobs_to_run_new,jobs_to_collect_new
2170
2171
2173 """writes the nevents_unweighted file in the SubProcesses directory.
2174 We also need to write the jobs that will generate 0 events,
2175 because that makes sure that the cross section from those channels
2176 is taken into account in the event weights (by collect_events.f).
2177 """
2178 content=[]
2179 for job in jobs:
2180 path=pjoin(job['dirname'].split('/')[-2],job['dirname'].split('/')[-1])
2181 lhefile=pjoin(path,'events.lhe')
2182 content.append(' %s %d %9e %9e' % \
2183 (lhefile.ljust(40),job['nevents'],job['resultABS']*job['wgt_frac'],job['wgt_frac']))
2184 for job in jobs0events:
2185 if job['nevents']==0:
2186 path=pjoin(job['dirname'].split('/')[-2],job['dirname'].split('/')[-1])
2187 lhefile=pjoin(path,'events.lhe')
2188 content.append(' %s %d %9e %9e' % \
2189 (lhefile.ljust(40),job['nevents'],job['resultABS'],1.))
2190 with open(pjoin(self.me_dir,'SubProcesses',"nevents_unweighted"),'w') as f:
2191 f.write('\n'.join(content)+'\n')
2192
2194 """write the nevts files in the SubProcesses/P*/G*/ directories"""
2195 for job in jobs:
2196 with open(pjoin(job['dirname'],'nevts'),'w') as f:
2197 if self.run_card['event_norm'].lower()=='bias':
2198 f.write('%i %f\n' % (job['nevents'],self.cross_sect_dict['xseca']))
2199 else:
2200 f.write('%i\n' % job['nevents'])
2201
2203 """Combines jobs and grids from split jobs that have been run"""
2204
2205
2206
2207 jobgroups_to_combine=[]
2208 jobs_to_run_new=[]
2209 for job in jobs_to_run:
2210 if job['split'] == 0:
2211 job['combined']=1
2212 jobs_to_run_new.append(job)
2213 elif job['split'] == 1:
2214 jobgroups_to_combine.append(filter(lambda j: j['p_dir'] == job['p_dir'] and \
2215 j['channel'] == job['channel'], jobs_to_run))
2216 else:
2217 continue
2218 for job_group in jobgroups_to_combine:
2219
2220 self.combine_split_order_grids(job_group)
2221 jobs_to_run_new.append(self.combine_split_order_jobs(job_group))
2222 return jobs_to_run_new
2223
2225 """combine the jobs in job_group and return a single summed job"""
2226
2227 sum_job=copy.copy(job_group[0])
2228
2229 sum_job['dirname']=pjoin(sum_job['dirname'].rsplit('_',1)[0])
2230 sum_job['split']=0
2231 sum_job['wgt_mult']=1.0
2232 sum_job['combined']=len(job_group)
2233
2234 keys=['niters_done','npoints_done','niters','npoints',\
2235 'result','resultABS','time_spend']
2236 keys2=['error','errorABS']
2237
2238 for key in keys2:
2239 sum_job[key]=math.pow(sum_job[key],2)
2240
2241 for i,job in enumerate(job_group):
2242 if i==0 : continue
2243 for key in keys:
2244 sum_job[key]+=job[key]
2245 for key in keys2:
2246 sum_job[key]+=math.pow(job[key],2)
2247 for key in keys2:
2248 sum_job[key]=math.sqrt(sum_job[key])
2249 sum_job['err_percABS'] = sum_job['errorABS']/sum_job['resultABS']*100.
2250 sum_job['err_perc'] = sum_job['error']/sum_job['result']*100.
2251 sum_job['niters']=int(sum_job['niters_done']/len(job_group))
2252 sum_job['niters_done']=int(sum_job['niters_done']/len(job_group))
2253 return sum_job
2254
2255
2257 """Combines the mint_grids and MC-integer grids from the split order
2258 jobs (fixed order only).
2259 """
2260 files_mint_grids=[]
2261 files_MC_integer=[]
2262 location=None
2263 for job in job_group:
2264 files_mint_grids.append(pjoin(job['dirname'],'mint_grids'))
2265 files_MC_integer.append(pjoin(job['dirname'],'grid.MC_integer'))
2266 if not location:
2267 location=pjoin(job['dirname'].rsplit('_',1)[0])
2268 else:
2269 if location != pjoin(job['dirname'].rsplit('_',1)[0]) :
2270 raise aMCatNLOError('Not all jobs have the same location. '\
2271 +'Cannot combine them.')
2272
2273
2274
2275 for j,fs in enumerate([files_mint_grids,files_MC_integer]):
2276 linesoffiles=[]
2277 for f in fs:
2278 with open(f,'r+') as fi:
2279 linesoffiles.append(fi.readlines())
2280 to_write=[]
2281 for rowgrp in zip(*linesoffiles):
2282 try:
2283
2284
2285
2286
2287
2288 is_integer = [[int(row.strip().split()[-1])] for row in rowgrp]
2289 floatsbyfile = [[float(a) for a in row.strip().split()] for row in rowgrp]
2290 floatgrps = zip(*floatsbyfile)
2291 special=[]
2292 for i,floatgrp in enumerate(floatgrps):
2293 if i==0:
2294 special.append(sum(floatgrp))
2295 elif i==1:
2296 special.append(math.sqrt(sum([err**2 for err in floatgrp])))
2297 elif i==2:
2298 special.append(int(sum(floatgrp)/len(floatgrp)))
2299 elif i==3:
2300 special.append(int(sum(floatgrp)))
2301 elif i==4:
2302 special.append(int(sum(floatgrp)/len(floatgrp)))
2303 else:
2304 raise aMCatNLOError('"mint_grids" files not in correct format. '+\
2305 'Cannot combine them.')
2306 to_write.append(" ".join(str(s) for s in special) + "\n")
2307 except ValueError:
2308
2309 floatsbyfile = [[float(a) for a in row.strip().split()] for row in rowgrp]
2310 floatgrps = zip(*floatsbyfile)
2311 averages = [sum(floatgrp)/len(floatgrp) for floatgrp in floatgrps]
2312 to_write.append(" ".join(str(a) for a in averages) + "\n")
2313
2314 if j==0:
2315 with open(pjoin(location,'mint_grids'),'w') as f:
2316 f.writelines(to_write)
2317 elif j==1:
2318 with open(pjoin(location,'grid.MC_integer'),'w') as f:
2319 f.writelines(to_write)
2320
2321
2323 """Looks in the jobs_to_run to see if there is the need to split the
2324 jobs, depending on the expected time they take. Updates
2325 jobs_to_run and jobs_to_collect to replace the split-job by
2326 its splits.
2327 """
2328
2329 if self.options['run_mode'] ==2:
2330 nb_submit = int(self.options['nb_core'])
2331 elif self.options['run_mode'] ==1:
2332 nb_submit = int(self.options['cluster_size'])
2333 else:
2334 nb_submit =1
2335
2336 time_expected=0
2337 for job in jobs_to_run:
2338 time_expected+=job['time_spend']*(job['niters']*job['npoints'])/ \
2339 (job['niters_done']*job['npoints_done'])
2340
2341
2342 time_per_job=time_expected/(nb_submit*(1+len(jobs_to_run)/2))
2343 jobs_to_run_new=[]
2344 jobs_to_collect_new=copy.copy(jobs_to_collect)
2345 for job in jobs_to_run:
2346
2347
2348
2349 for j in filter(lambda j: j['p_dir'] == job['p_dir'] and \
2350 j['channel'] == job['channel'], jobs_to_collect_new):
2351 jobs_to_collect_new.remove(j)
2352 time_expected=job['time_spend']*(job['niters']*job['npoints'])/ \
2353 (job['niters_done']*job['npoints_done'])
2354
2355
2356
2357 if time_expected > max(2*job['time_spend']/job['combined'],time_per_job):
2358
2359 nsplit=min(max(int(time_expected/max(2*job['time_spend']/job['combined'],time_per_job)),2),nb_submit)
2360 for i in range(1,nsplit+1):
2361 job_new=copy.copy(job)
2362 job_new['split']=i
2363 job_new['wgt_mult']=1./float(nsplit)
2364 job_new['dirname']=job['dirname']+'_%i' % job_new['split']
2365 job_new['accuracy']=min(job['accuracy']*math.sqrt(float(nsplit)),0.1)
2366 if nsplit >= job['niters']:
2367 job_new['npoints']=int(job['npoints']*job['niters']/nsplit)
2368 job_new['niters']=1
2369 else:
2370 job_new['npoints']=int(job['npoints']/nsplit)
2371 jobs_to_collect_new.append(job_new)
2372 jobs_to_run_new.append(job_new)
2373 else:
2374 jobs_to_collect_new.append(job)
2375 jobs_to_run_new.append(job)
2376 return jobs_to_run_new,jobs_to_collect_new
2377
2378
2380 """Looks in the jobs_to_run to see if there is the need to split the
2381 event generation step. Updates jobs_to_run and
2382 jobs_to_collect to replace the split-job by its
2383 splits. Also removes jobs that do not need any events.
2384 """
2385 nevt_job=self.run_card['nevt_job']
2386 if nevt_job > 0:
2387 jobs_to_collect_new=copy.copy(jobs_to_collect)
2388 for job in jobs_to_run:
2389 nevents=job['nevents']
2390 if nevents == 0:
2391 jobs_to_collect_new.remove(job)
2392 elif nevents > nevt_job:
2393 jobs_to_collect_new.remove(job)
2394 if nevents % nevt_job != 0 :
2395 nsplit=int(nevents/nevt_job)+1
2396 else:
2397 nsplit=int(nevents/nevt_job)
2398 for i in range(1,nsplit+1):
2399 job_new=copy.copy(job)
2400 left_over=nevents % nsplit
2401 if i <= left_over:
2402 job_new['nevents']=int(nevents/nsplit)+1
2403 job_new['wgt_frac']=float(job_new['nevents'])/float(nevents)
2404 else:
2405 job_new['nevents']=int(nevents/nsplit)
2406 job_new['wgt_frac']=float(job_new['nevents'])/float(nevents)
2407 job_new['split']=i
2408 job_new['dirname']=job['dirname']+'_%i' % job_new['split']
2409 jobs_to_collect_new.append(job_new)
2410 jobs_to_run_new=copy.copy(jobs_to_collect_new)
2411 else:
2412 jobs_to_run_new=copy.copy(jobs_to_collect)
2413 for job in jobs_to_collect:
2414 if job['nevents'] == 0:
2415 jobs_to_run_new.remove(job)
2416 jobs_to_collect_new=copy.copy(jobs_to_run_new)
2417
2418 return jobs_to_run_new,jobs_to_collect_new
2419
2420
2422 """
2423 For (N)LO+PS: determines the number of events and/or the required
2424 accuracy per job.
2425 For fixed order: determines which jobs need higher precision and
2426 returns those with the newly requested precision.
2427 """
2428 err=self.cross_sect_dict['errt']
2429 tot=self.cross_sect_dict['xsect']
2430 errABS=self.cross_sect_dict['erra']
2431 totABS=self.cross_sect_dict['xseca']
2432 jobs_new=[]
2433 if fixed_order:
2434 if req_acc == -1:
2435 if step+1 == 1:
2436 npoints = self.run_card['npoints_FO']
2437 niters = self.run_card['niters_FO']
2438 for job in jobs:
2439 job['mint_mode']=-1
2440 job['niters']=niters
2441 job['npoints']=npoints
2442 jobs_new.append(job)
2443 elif step+1 == 2:
2444 pass
2445 elif step+1 > 2:
2446 raise aMCatNLOError('Cannot determine number of iterations and PS points '+
2447 'for integration step %i' % step )
2448 elif ( req_acc > 0 and err/abs(tot) > req_acc*1.2 ) or step <= 0:
2449 req_accABS=req_acc*abs(tot)/totABS
2450 for job in jobs:
2451 job['mint_mode']=-1
2452
2453 job['accuracy']=req_accABS*math.sqrt(totABS/job['resultABS'])
2454
2455
2456 if (job['accuracy'] > job['errorABS']/job['resultABS'] and step != 0) \
2457 and not (step==-1 and self.run_card['iappl'] == 2):
2458 continue
2459
2460 itmax_fl=job['niters_done']*math.pow(job['errorABS']/
2461 (job['accuracy']*job['resultABS']),2)
2462 if itmax_fl <= 4.0 :
2463 job['niters']=max(int(round(itmax_fl)),2)
2464 job['npoints']=job['npoints_done']*2
2465 elif itmax_fl > 4.0 and itmax_fl <= 16.0 :
2466 job['niters']=4
2467 job['npoints']=int(round(job['npoints_done']*itmax_fl/4.0))*2
2468 else:
2469 if itmax_fl > 100.0 : itmax_fl=50.0
2470 job['niters']=int(round(math.sqrt(itmax_fl)))
2471 job['npoints']=int(round(job['npoints_done']*itmax_fl/
2472 round(math.sqrt(itmax_fl))))*2
2473
2474 jobs_new.append(job)
2475 return jobs_new
2476 elif step+1 <= 2:
2477 nevents=self.run_card['nevents']
2478
2479 if req_acc<0:
2480 req_acc2_inv=nevents
2481 else:
2482 req_acc2_inv=1/(req_acc*req_acc)
2483 if step+1 == 1 or step+1 == 2 :
2484
2485 for job in jobs:
2486 accuracy=min(math.sqrt(totABS/(req_acc2_inv*job['resultABS'])),0.2)
2487 job['accuracy']=accuracy
2488 if step+1 == 2:
2489
2490
2491 r=self.get_randinit_seed()
2492 random.seed(r)
2493 totevts=nevents
2494 for job in jobs:
2495 job['nevents'] = 0
2496 while totevts :
2497 target = random.random() * totABS
2498 crosssum = 0.
2499 i = 0
2500 while i<len(jobs) and crosssum < target:
2501 job = jobs[i]
2502 crosssum += job['resultABS']
2503 i += 1
2504 totevts -= 1
2505 i -= 1
2506 jobs[i]['nevents'] += 1
2507 for job in jobs:
2508 job['mint_mode']=step+1
2509 return jobs
2510 else:
2511 return []
2512
2513
2515 """ Get the random number seed from the randinit file """
2516 with open(pjoin(self.me_dir,"SubProcesses","randinit")) as randinit:
2517
2518 iseed = int(randinit.read()[2:])
2519 return iseed
2520
2521
2523 """Appends the results for each of the jobs in the job list"""
2524 error_found=False
2525 for job in jobs:
2526 try:
2527 if integration_step >= 0 :
2528 with open(pjoin(job['dirname'],'res_%s.dat' % integration_step)) as res_file:
2529 results=res_file.readline().split()
2530 else:
2531
2532
2533 with open(pjoin(job['dirname'],'res.dat')) as res_file:
2534 results=res_file.readline().split()
2535 except IOError:
2536 if not error_found:
2537 error_found=True
2538 error_log=[]
2539 error_log.append(pjoin(job['dirname'],'log.txt'))
2540 continue
2541 job['resultABS']=float(results[0])
2542 job['errorABS']=float(results[1])
2543 job['result']=float(results[2])
2544 job['error']=float(results[3])
2545 job['niters_done']=int(results[4])
2546 job['npoints_done']=int(results[5])
2547 job['time_spend']=float(results[6])
2548 job['err_percABS'] = job['errorABS']/job['resultABS']*100.
2549 job['err_perc'] = job['error']/job['result']*100.
2550 if error_found:
2551 raise aMCatNLOError('An error occurred during the collection of results.\n' +
2552 'Please check the .log files inside the directories which failed:\n' +
2553 '\n'.join(error_log)+'\n')
2554
2555
2556
2558 """writes the res.txt files in the SubProcess dir"""
2559 jobs.sort(key = lambda job: -job['errorABS'])
2560 content=[]
2561 content.append('\n\nCross section per integration channel:')
2562 for job in jobs:
2563 content.append('%(p_dir)20s %(channel)15s %(result)10.8e %(error)6.4e %(err_perc)6.4f%% ' % job)
2564 content.append('\n\nABS cross section per integration channel:')
2565 for job in jobs:
2566 content.append('%(p_dir)20s %(channel)15s %(resultABS)10.8e %(errorABS)6.4e %(err_percABS)6.4f%% ' % job)
2567 totABS=0
2568 errABS=0
2569 tot=0
2570 err=0
2571 for job in jobs:
2572 totABS+= job['resultABS']*job['wgt_frac']
2573 errABS+= math.pow(job['errorABS'],2)*job['wgt_frac']
2574 tot+= job['result']*job['wgt_frac']
2575 err+= math.pow(job['error'],2)*job['wgt_frac']
2576 if jobs:
2577 content.append('\nTotal ABS and \nTotal: \n %10.8e +- %6.4e (%6.4e%%)\n %10.8e +- %6.4e (%6.4e%%) \n' %\
2578 (totABS, math.sqrt(errABS), math.sqrt(errABS)/totABS *100.,\
2579 tot, math.sqrt(err), math.sqrt(err)/tot *100.))
2580 with open(pjoin(self.me_dir,'SubProcesses','res_%s.txt' % integration_step),'w') as res_file:
2581 res_file.write('\n'.join(content))
2582 randinit=self.get_randinit_seed()
2583 return {'xsect':tot,'xseca':totABS,'errt':math.sqrt(err),\
2584 'erra':math.sqrt(errABS),'randinit':randinit}
2585
2586
2588 """read the scale_pdf_dependence.dat files and collects there results"""
2589 scale_pdf_info=[]
2590 if any(self.run_card['reweight_scale']) or any(self.run_card['reweight_PDF']) or \
2591 len(self.run_card['dynamical_scale_choice']) > 1 or len(self.run_card['lhaid']) > 1:
2592 evt_files=[]
2593 evt_wghts=[]
2594 for job in jobs:
2595 evt_files.append(pjoin(job['dirname'],'scale_pdf_dependence.dat'))
2596 evt_wghts.append(job['wgt_frac'])
2597 scale_pdf_info = self.pdf_scale_from_reweighting(evt_files,evt_wghts)
2598 return scale_pdf_info
2599
2600
2602 """combines the plots and puts then in the Events/run* directory"""
2603 devnull = open(os.devnull, 'w')
2604
2605 if self.analyse_card['fo_analysis_format'].lower() == 'topdrawer':
2606 misc.call(['./combine_plots_FO.sh'] + folder_name, \
2607 stdout=devnull,
2608 cwd=pjoin(self.me_dir, 'SubProcesses'))
2609 files.cp(pjoin(self.me_dir, 'SubProcesses', 'MADatNLO.top'),
2610 pjoin(self.me_dir, 'Events', self.run_name))
2611 logger.info('The results of this run and the TopDrawer file with the plots' + \
2612 ' have been saved in %s' % pjoin(self.me_dir, 'Events', self.run_name))
2613 elif self.analyse_card['fo_analysis_format'].lower() == 'hwu':
2614 out=pjoin(self.me_dir,'Events',self.run_name,'MADatNLO')
2615 self.combine_plots_HwU(jobs,out)
2616 try:
2617 misc.call(['gnuplot','MADatNLO.gnuplot'],\
2618 stdout=devnull,stderr=devnull,\
2619 cwd=pjoin(self.me_dir, 'Events', self.run_name))
2620 except Exception:
2621 pass
2622 logger.info('The results of this run and the HwU and GnuPlot files with the plots' + \
2623 ' have been saved in %s' % pjoin(self.me_dir, 'Events', self.run_name))
2624 elif self.analyse_card['fo_analysis_format'].lower() == 'root':
2625 rootfiles = []
2626 for job in jobs:
2627 if job['dirname'].endswith('.root'):
2628 rootfiles.append(job['dirname'])
2629 else:
2630 rootfiles.append(pjoin(job['dirname'],'MADatNLO.root'))
2631 misc.call(['./combine_root.sh'] + folder_name + rootfiles, \
2632 stdout=devnull,
2633 cwd=pjoin(self.me_dir, 'SubProcesses'))
2634 files.cp(pjoin(self.me_dir, 'SubProcesses', 'MADatNLO.root'),
2635 pjoin(self.me_dir, 'Events', self.run_name))
2636 logger.info('The results of this run and the ROOT file with the plots' + \
2637 ' have been saved in %s' % pjoin(self.me_dir, 'Events', self.run_name))
2638 elif self.analyse_card['fo_analysis_format'].lower() == 'lhe':
2639 self.combine_FO_lhe(jobs)
2640 logger.info('The results of this run and the LHE File (to be used for plotting only)' + \
2641 ' have been saved in %s' % pjoin(self.me_dir, 'Events', self.run_name))
2642 else:
2643 logger.info('The results of this run' + \
2644 ' have been saved in %s' % pjoin(self.me_dir, 'Events', self.run_name))
2645
2647 """combine the various lhe file generated in each directory.
2648 They are two steps:
2649 1) banner
2650 2) reweight each sample by the factor written at the end of each file
2651 3) concatenate each of the new files (gzip those).
2652 """
2653
2654 logger.info('Combining lhe events for plotting analysis')
2655 start = time.time()
2656 self.run_card['fo_lhe_postprocessing'] = [i.lower() for i in self.run_card['fo_lhe_postprocessing']]
2657 output = pjoin(self.me_dir, 'Events', self.run_name, 'events.lhe.gz')
2658 if os.path.exists(output):
2659 os.remove(output)
2660
2661
2662
2663
2664
2665 text = open(pjoin(jobs[0]['dirname'],'header.txt'),'r').read()
2666 i1, i2 = text.find('<initrwgt>'),text.find('</initrwgt>')
2667 self.banner['initrwgt'] = text[10+i1:i2]
2668
2669
2670
2671
2672
2673
2674
2675 cross = sum(j['result'] for j in jobs)
2676 error = math.sqrt(sum(j['error'] for j in jobs))
2677 self.banner['init'] = "0 0 0e0 0e0 0 0 0 0 -4 1\n %s %s %s 1" % (cross, error, cross)
2678 self.banner.write(output[:-3], close_tag=False)
2679 misc.gzip(output[:-3])
2680
2681
2682
2683 fsock = lhe_parser.EventFile(output,'a')
2684 if 'nogrouping' in self.run_card['fo_lhe_postprocessing']:
2685 fsock.eventgroup = False
2686 else:
2687 fsock.eventgroup = True
2688
2689 if 'norandom' in self.run_card['fo_lhe_postprocessing']:
2690 for job in jobs:
2691 dirname = job['dirname']
2692
2693 lastline = misc.BackRead(pjoin(dirname,'events.lhe')).readline()
2694 nb_event, sumwgt, cross = [float(i) for i in lastline.split()]
2695
2696 ratio = cross/sumwgt
2697 lhe = lhe_parser.EventFile(pjoin(dirname,'events.lhe'))
2698 lhe.eventgroup = True
2699 for eventsgroup in lhe:
2700 neweventsgroup = []
2701 for i,event in enumerate(eventsgroup):
2702 event.rescale_weights(ratio)
2703 if i>0 and 'noidentification' not in self.run_card['fo_lhe_postprocessing'] \
2704 and event == neweventsgroup[-1]:
2705 neweventsgroup[-1].wgt += event.wgt
2706 for key in event.reweight_data:
2707 neweventsgroup[-1].reweight_data[key] += event.reweight_data[key]
2708 else:
2709 neweventsgroup.append(event)
2710 fsock.write_events(neweventsgroup)
2711 lhe.close()
2712 os.remove(pjoin(dirname,'events.lhe'))
2713 else:
2714 lhe = []
2715 lenlhe = []
2716 misc.sprint('need to combine %s event file' % len(jobs))
2717 globallhe = lhe_parser.MultiEventFile()
2718 globallhe.eventgroup = True
2719 for job in jobs:
2720 dirname = job['dirname']
2721 lastline = misc.BackRead(pjoin(dirname,'events.lhe')).readline()
2722 nb_event, sumwgt, cross = [float(i) for i in lastline.split()]
2723 lastlhe = globallhe.add(pjoin(dirname,'events.lhe'),cross, 0, cross,
2724 nb_event=int(nb_event), scale=cross/sumwgt)
2725 for eventsgroup in globallhe:
2726 neweventsgroup = []
2727 for i,event in enumerate(eventsgroup):
2728 event.rescale_weights(event.sample_scale)
2729 if i>0 and 'noidentification' not in self.run_card['fo_lhe_postprocessing'] \
2730 and event == neweventsgroup[-1]:
2731 neweventsgroup[-1].wgt += event.wgt
2732 for key in event.reweight_data:
2733 neweventsgroup[-1].reweight_data[key] += event.reweight_data[key]
2734 else:
2735 neweventsgroup.append(event)
2736 fsock.write_events(neweventsgroup)
2737 globallhe.close()
2738 fsock.write('</LesHouchesEvents>\n')
2739 fsock.close()
2740 misc.sprint('combining lhe file done in ', time.time()-start)
2741 for job in jobs:
2742 dirname = job['dirname']
2743 os.remove(pjoin(dirname,'events.lhe'))
2744
2745
2746
2747 misc.sprint('combining lhe file done in ', time.time()-start)
2748
2749
2750
2751
2752
2753
2755 """Sums all the plots in the HwU format."""
2756 logger.debug('Combining HwU plots.')
2757
2758 command = []
2759 command.append(pjoin(self.me_dir, 'bin', 'internal','histograms.py'))
2760 for job in jobs:
2761 if job['dirname'].endswith('.HwU'):
2762 command.append(job['dirname'])
2763 else:
2764 command.append(pjoin(job['dirname'],'MADatNLO.HwU'))
2765 command.append("--out="+out)
2766 command.append("--gnuplot")
2767 command.append("--band=[]")
2768 command.append("--lhapdf-config="+self.options['lhapdf'])
2769 if normalisation:
2770 command.append("--multiply="+(','.join([str(n) for n in normalisation])))
2771 command.append("--sum")
2772 command.append("--keep_all_weights")
2773 command.append("--no_open")
2774
2775 p = misc.Popen(command, stdout = subprocess.PIPE, stderr = subprocess.STDOUT, cwd=self.me_dir)
2776
2777 while p.poll() is None:
2778 line = p.stdout.readline()
2779 if any(t in line for t in ['INFO:','WARNING:','CRITICAL:','ERROR:','KEEP:']):
2780 print line[:-1]
2781 elif __debug__ and line:
2782 logger.debug(line[:-1])
2783
2784
2786 """Combines the APPLgrids in all the SubProcess/P*/all_G*/ directories"""
2787 logger.debug('Combining APPLgrids \n')
2788 applcomb=pjoin(self.options['applgrid'].rstrip('applgrid-config'),
2789 'applgrid-combine')
2790 all_jobs=[]
2791 for job in jobs:
2792 all_jobs.append(job['dirname'])
2793 ngrids=len(all_jobs)
2794 nobs =len([name for name in os.listdir(all_jobs[0]) if name.endswith("_out.root")])
2795 for obs in range(0,nobs):
2796 gdir = [pjoin(job,"grid_obs_"+str(obs)+"_out.root") for job in all_jobs]
2797
2798 if self.run_card["iappl"] == 1:
2799 misc.call([applcomb,'-o', pjoin(self.me_dir,"Events",self.run_name,
2800 "aMCfast_obs_"+str(obs)+"_starting_grid.root"), '--optimise']+ gdir)
2801 elif self.run_card["iappl"] == 2:
2802 unc2_inv=pow(cross/error,2)
2803 unc2_inv_ngrids=pow(cross/error,2)*ngrids
2804 misc.call([applcomb,'-o', pjoin(self.me_dir,"Events",
2805 self.run_name,"aMCfast_obs_"+str(obs)+".root"),'-s',
2806 str(unc2_inv),'--weight',str(unc2_inv)]+ gdir)
2807 for job in all_jobs:
2808 os.remove(pjoin(job,"grid_obs_"+str(obs)+"_in.root"))
2809 else:
2810 raise aMCatNLOError('iappl parameter can only be 0, 1 or 2')
2811
2812 for ggdir in gdir:
2813 os.remove(ggdir)
2814
2815
2817 """Distributes the APPLgrids ready to be filled by a second run of the code"""
2818
2819
2820 if not('appl_start_grid' in options.keys() and options['appl_start_grid']):
2821 gfiles = misc.glob(pjoin('*', 'aMCfast_obs_0_starting_grid.root'),
2822 pjoin(self.me_dir,'Events'))
2823
2824 time_stamps={}
2825 for root_file in gfiles:
2826 time_stamps[root_file]=os.path.getmtime(root_file)
2827 options['appl_start_grid']= \
2828 max(time_stamps.iterkeys(), key=(lambda key:
2829 time_stamps[key])).split('/')[-2]
2830 logger.info('No --appl_start_grid option given. '+\
2831 'Guessing that start grid from run "%s" should be used.' \
2832 % options['appl_start_grid'])
2833
2834 if 'appl_start_grid' in options.keys() and options['appl_start_grid']:
2835 self.appl_start_grid = options['appl_start_grid']
2836 start_grid_dir=pjoin(self.me_dir, 'Events', self.appl_start_grid)
2837
2838 if not os.path.exists(pjoin(start_grid_dir,
2839 'aMCfast_obs_0_starting_grid.root')):
2840 raise self.InvalidCmd('APPLgrid file not found: %s' % \
2841 pjoin(start_grid_dir,'aMCfast_obs_0_starting_grid.root'))
2842 else:
2843 all_grids=[pjoin(start_grid_dir,name) for name in os.listdir( \
2844 start_grid_dir) if name.endswith("_starting_grid.root")]
2845 nobs =len(all_grids)
2846 gstring=" ".join(all_grids)
2847 if not hasattr(self, 'appl_start_grid') or not self.appl_start_grid:
2848 raise self.InvalidCmd('No APPLgrid name currently defined.'+
2849 'Please provide this information.')
2850
2851 for pdir in p_dirs:
2852 g_dirs = [file for file in os.listdir(pjoin(self.me_dir,
2853 "SubProcesses",pdir)) if file.startswith(mode+'_G') and
2854 os.path.isdir(pjoin(self.me_dir,"SubProcesses",pdir, file))]
2855 for g_dir in g_dirs:
2856 for grid in all_grids:
2857 obs=grid.split('_')[-3]
2858 files.cp(grid,pjoin(self.me_dir,"SubProcesses",pdir,g_dir,
2859 'grid_obs_'+obs+'_in.root'))
2860
2861
2862
2863
2865 """collect the log files and put them in a single, html-friendly file
2866 inside the Events/run_.../ directory"""
2867 log_file = pjoin(self.me_dir, 'Events', self.run_name,
2868 'alllogs_%d.html' % integration_step)
2869 outfile = open(log_file, 'w')
2870
2871 content = ''
2872 content += '<HTML><BODY>\n<font face="courier" size=2>'
2873 for job in jobs:
2874
2875 log=pjoin(job['dirname'],'log_MINT%s.txt' % integration_step)
2876 content += '<a name=%s></a>\n' % (os.path.dirname(log).replace(
2877 pjoin(self.me_dir,'SubProcesses'),''))
2878
2879 content += '<font color="red">\n'
2880 content += '<br>LOG file for integration channel %s, %s <br>' % \
2881 (os.path.dirname(log).replace(pjoin(self.me_dir,
2882 'SubProcesses'), ''),
2883 integration_step)
2884 content += '</font>\n'
2885
2886
2887 with open(log) as l:
2888 content += '<PRE>\n' + l.read() + '\n</PRE>'
2889 content +='<br>\n'
2890 outfile.write(content)
2891 content=''
2892
2893 outfile.write('</font>\n</BODY></HTML>\n')
2894 outfile.close()
2895
2896
2898 """Combine the plots and put the res*.txt files in the Events/run.../ folder."""
2899
2900 res_files = misc.glob('res_*.txt', pjoin(self.me_dir, 'SubProcesses'))
2901 for res_file in res_files:
2902 files.mv(res_file,pjoin(self.me_dir, 'Events', self.run_name))
2903
2904 self.combine_plots_FO(folder_name,jobs)
2905
2906
2907 if self.run_card['iappl'] != 0:
2908 cross=self.cross_sect_dict['xsect']
2909 error=self.cross_sect_dict['errt']
2910 self.applgrid_combine(cross,error,jobs)
2911
2912
2914 """setup the number of cores for multicore, and the cluster-type for cluster runs"""
2915 if self.cluster_mode == 1:
2916 cluster_name = self.options['cluster_type']
2917 try:
2918 self.cluster = cluster.from_name[cluster_name](**self.options)
2919 except KeyError:
2920
2921
2922 cluster_class = misc.from_plugin_import(self.plugin_path,
2923 'new_cluster', cluster_name,
2924 info = 'cluster handling will be done with PLUGIN: %{plug}s' )
2925 if cluster_class:
2926 self.cluster = cluster_class(**self.options)
2927
2928 if self.cluster_mode == 2:
2929 try:
2930 import multiprocessing
2931 if not self.nb_core:
2932 try:
2933 self.nb_core = int(self.options['nb_core'])
2934 except TypeError:
2935 self.nb_core = multiprocessing.cpu_count()
2936 logger.info('Using %d cores' % self.nb_core)
2937 except ImportError:
2938 self.nb_core = 1
2939 logger.warning('Impossible to detect the number of cores => Using One.\n'+
2940 'Use set nb_core X in order to set this number and be able to'+
2941 'run in multicore.')
2942
2943 self.cluster = cluster.MultiCore(**self.options)
2944
2945
2947 """Clean previous results.
2948 o. If doing only the reweighting step, do not delete anything and return directlty.
2949 o. Always remove all the G*_* files (from split event generation).
2950 o. Remove the G* (or born_G* or all_G*) only when NOT doing only_generation or reweight_only."""
2951 if options['reweightonly']:
2952 return
2953 if not options['only_generation']:
2954 self.update_status('Cleaning previous results', level=None)
2955 for dir in p_dirs:
2956
2957 for obj in folder_name:
2958
2959 to_rm = [file for file in \
2960 os.listdir(pjoin(self.me_dir, 'SubProcesses', dir)) \
2961 if file.startswith(obj[:-1]) and \
2962 (os.path.isdir(pjoin(self.me_dir, 'SubProcesses', dir, file)) or \
2963 os.path.exists(pjoin(self.me_dir, 'SubProcesses', dir, file)))]
2964
2965 to_always_rm = [file for file in \
2966 os.listdir(pjoin(self.me_dir, 'SubProcesses', dir)) \
2967 if file.startswith(obj[:-1]) and
2968 '_' in file and not '_G' in file and \
2969 (os.path.isdir(pjoin(self.me_dir, 'SubProcesses', dir, file)) or \
2970 os.path.exists(pjoin(self.me_dir, 'SubProcesses', dir, file)))]
2971
2972 if not options['only_generation']:
2973 to_always_rm.extend(to_rm)
2974 if os.path.exists(pjoin(self.me_dir, 'SubProcesses', dir,'MadLoop5_resources.tar.gz')):
2975 to_always_rm.append(pjoin(self.me_dir, 'SubProcesses', dir,'MadLoop5_resources.tar.gz'))
2976 files.rm([pjoin(self.me_dir, 'SubProcesses', dir, d) for d in to_always_rm])
2977 return
2978
2979
2980 - def print_summary(self, options, step, mode, scale_pdf_info=[], done=True):
2981 """print a summary of the results contained in self.cross_sect_dict.
2982 step corresponds to the mintMC step, if =2 (i.e. after event generation)
2983 some additional infos are printed"""
2984
2985 proc_card_lines = open(pjoin(self.me_dir, 'Cards', 'proc_card_mg5.dat')).read().split('\n')
2986 process = ''
2987 for line in proc_card_lines:
2988 if line.startswith('generate') or line.startswith('add process'):
2989 process = process+(line.replace('generate ', '')).replace('add process ','')+' ; '
2990 lpp = {0:'l', 1:'p', -1:'pbar'}
2991 if self.ninitial == 1:
2992 proc_info = '\n Process %s' % process[:-3]
2993 else:
2994 proc_info = '\n Process %s\n Run at %s-%s collider (%s + %s GeV)' % \
2995 (process[:-3], lpp[self.run_card['lpp1']], lpp[self.run_card['lpp2']],
2996 self.run_card['ebeam1'], self.run_card['ebeam2'])
2997
2998 if self.ninitial == 1:
2999 self.cross_sect_dict['unit']='GeV'
3000 self.cross_sect_dict['xsec_string']='(Partial) decay width'
3001 self.cross_sect_dict['axsec_string']='(Partial) abs(decay width)'
3002 else:
3003 self.cross_sect_dict['unit']='pb'
3004 self.cross_sect_dict['xsec_string']='Total cross section'
3005 self.cross_sect_dict['axsec_string']='Total abs(cross section)'
3006 if self.run_card['event_norm'].lower()=='bias':
3007 self.cross_sect_dict['xsec_string']+=', incl. bias (DO NOT USE)'
3008
3009 if mode in ['aMC@NLO', 'aMC@LO', 'noshower', 'noshowerLO']:
3010 status = ['Determining the number of unweighted events per channel',
3011 'Updating the number of unweighted events per channel',
3012 'Summary:']
3013 computed='(computed from LHE events)'
3014 elif mode in ['NLO', 'LO']:
3015 status = ['Results after grid setup:','Current results:',
3016 'Final results and run summary:']
3017 computed='(computed from histogram information)'
3018
3019 if step != 2 and mode in ['aMC@NLO', 'aMC@LO', 'noshower', 'noshowerLO']:
3020 message = status[step] + '\n\n Intermediate results:' + \
3021 ('\n Random seed: %(randinit)d' + \
3022 '\n %(xsec_string)s: %(xsect)8.3e +- %(errt)6.1e %(unit)s' + \
3023 '\n %(axsec_string)s: %(xseca)8.3e +- %(erra)6.1e %(unit)s \n') \
3024 % self.cross_sect_dict
3025 elif mode in ['NLO','LO'] and not done:
3026 if step == 0:
3027 message = '\n ' + status[0] + \
3028 '\n %(xsec_string)s: %(xsect)8.3e +- %(errt)6.1e %(unit)s' % \
3029 self.cross_sect_dict
3030 else:
3031 message = '\n ' + status[1] + \
3032 '\n %(xsec_string)s: %(xsect)8.3e +- %(errt)6.1e %(unit)s' % \
3033 self.cross_sect_dict
3034
3035 else:
3036 message = '\n --------------------------------------------------------------'
3037 message = message + \
3038 '\n ' + status[2] + proc_info
3039 if mode not in ['LO', 'NLO']:
3040 message = message + \
3041 '\n Number of events generated: %s' % self.run_card['nevents']
3042 message = message + \
3043 '\n %(xsec_string)s: %(xsect)8.3e +- %(errt)6.1e %(unit)s' % \
3044 self.cross_sect_dict
3045 message = message + \
3046 '\n --------------------------------------------------------------'
3047 if scale_pdf_info and (self.run_card['nevents']>=10000 or mode in ['NLO', 'LO']):
3048 if scale_pdf_info[0]:
3049
3050 message = message + '\n Scale variation %s:' % computed
3051 for s in scale_pdf_info[0]:
3052 if s['unc']:
3053 if self.run_card['ickkw'] != -1:
3054 message = message + \
3055 ('\n Dynamical_scale_choice %(label)i (envelope of %(size)s values): '\
3056 '\n %(cen)8.3e pb +%(max)0.1f%% -%(min)0.1f%%') % s
3057 else:
3058 message = message + \
3059 ('\n Soft and hard scale dependence (added in quadrature): '\
3060 '\n %(cen)8.3e pb +%(max_q)0.1f%% -%(min_q)0.1f%%') % s
3061
3062 else:
3063 message = message + \
3064 ('\n Dynamical_scale_choice %(label)i: '\
3065 '\n %(cen)8.3e pb') % s
3066
3067 if scale_pdf_info[1]:
3068 message = message + '\n PDF variation %s:' % computed
3069 for p in scale_pdf_info[1]:
3070 if p['unc']=='none':
3071 message = message + \
3072 ('\n %(name)s (central value only): '\
3073 '\n %(cen)8.3e pb') % p
3074
3075 elif p['unc']=='unknown':
3076 message = message + \
3077 ('\n %(name)s (%(size)s members; combination method unknown): '\
3078 '\n %(cen)8.3e pb') % p
3079 else:
3080 message = message + \
3081 ('\n %(name)s (%(size)s members; using %(unc)s method): '\
3082 '\n %(cen)8.3e pb +%(max)0.1f%% -%(min)0.1f%%') % p
3083
3084 message = message + \
3085 '\n --------------------------------------------------------------'
3086
3087
3088 if (mode in ['NLO', 'LO'] and not done) or \
3089 (mode in ['aMC@NLO', 'aMC@LO', 'noshower', 'noshowerLO'] and step!=2):
3090 logger.info(message+'\n')
3091 return
3092
3093
3094
3095
3096
3097 if mode in ['aMC@NLO', 'aMC@LO', 'noshower', 'noshowerLO']:
3098 log_GV_files = misc.glob(pjoin('P*','G*','log_MINT*.txt'),
3099 pjoin(self.me_dir, 'SubProcesses'))
3100 all_log_files = log_GV_files
3101 elif mode == 'NLO':
3102 log_GV_files = misc.glob(pjoin('P*','all_G*','log_MINT*.txt'),
3103 pjoin(self.me_dir, 'SubProcesses'))
3104 all_log_files = log_GV_files
3105
3106 elif mode == 'LO':
3107 log_GV_files = ''
3108 all_log_files = misc.glob(pjoin('P*','born_G*','log_MINT*.txt'),
3109 pjoin(self.me_dir, 'SubProcesses'))
3110 else:
3111 raise aMCatNLOError, 'Running mode %s not supported.'%mode
3112
3113 try:
3114 message, debug_msg = \
3115 self.compile_advanced_stats(log_GV_files, all_log_files, message)
3116 except Exception as e:
3117 debug_msg = 'Advanced statistics collection failed with error "%s"\n'%str(e)
3118 err_string = StringIO.StringIO()
3119 traceback.print_exc(limit=4, file=err_string)
3120 debug_msg += 'Please report this backtrace to a MadGraph developer:\n%s'\
3121 %err_string.getvalue()
3122
3123 logger.debug(debug_msg+'\n')
3124 logger.info(message+'\n')
3125
3126
3127 evt_path = pjoin(self.me_dir, 'Events', self.run_name)
3128 open(pjoin(evt_path, 'summary.txt'),'w').write(message+'\n')
3129 open(pjoin(evt_path, '.full_summary.txt'),
3130 'w').write(message+'\n\n'+debug_msg+'\n')
3131
3132 self.archive_files(evt_path,mode)
3133
3135 """ Copies in the Events/Run_<xxx> directory relevant files characterizing
3136 the run."""
3137
3138 files_to_arxiv = [pjoin('Cards','param_card.dat'),
3139 pjoin('Cards','MadLoopParams.dat'),
3140 pjoin('Cards','FKS_params.dat'),
3141 pjoin('Cards','run_card.dat'),
3142 pjoin('Subprocesses','setscales.f'),
3143 pjoin('Subprocesses','cuts.f')]
3144
3145 if mode in ['NLO', 'LO']:
3146 files_to_arxiv.append(pjoin('Cards','FO_analyse_card.dat'))
3147
3148 if not os.path.exists(pjoin(evt_path,'RunMaterial')):
3149 os.mkdir(pjoin(evt_path,'RunMaterial'))
3150
3151 for path in files_to_arxiv:
3152 if os.path.isfile(pjoin(self.me_dir,path)):
3153 files.cp(pjoin(self.me_dir,path),pjoin(evt_path,'RunMaterial'))
3154 misc.call(['tar','-czpf','RunMaterial.tar.gz','RunMaterial'],cwd=evt_path)
3155 shutil.rmtree(pjoin(evt_path,'RunMaterial'))
3156
3158 """ This functions goes through the log files given in arguments and
3159 compiles statistics about MadLoop stability, virtual integration
3160 optimization and detection of potential error messages into a nice
3161 debug message to printed at the end of the run """
3162
3163 def safe_float(str_float):
3164 try:
3165 return float(str_float)
3166 except ValueError:
3167 logger.debug('Could not convert the following float during'+
3168 ' advanced statistics printout: %s'%str(str_float))
3169 return -1.0
3170
3171
3172
3173
3174 stats = {'UPS':{}, 'Errors':[], 'virt_stats':{}, 'timings':{}}
3175 mint_search = re.compile(r"MINT(?P<ID>\d*).txt")
3176
3177
3178
3179
3180
3181
3182
3183 UPS_stat_finder = re.compile(
3184 r"Satistics from MadLoop:.*"+\
3185 r"Total points tried\:\s+(?P<ntot>\d+).*"+\
3186 r"Stability unknown\:\s+(?P<nsun>\d+).*"+\
3187 r"Stable PS point\:\s+(?P<nsps>\d+).*"+\
3188 r"Unstable PS point \(and rescued\)\:\s+(?P<nups>\d+).*"+\
3189 r"Exceptional PS point \(unstable and not rescued\)\:\s+(?P<neps>\d+).*"+\
3190 r"Double precision used\:\s+(?P<nddp>\d+).*"+\
3191 r"Quadruple precision used\:\s+(?P<nqdp>\d+).*"+\
3192 r"Initialization phase\-space points\:\s+(?P<nini>\d+).*"+\
3193 r"Unknown return code \(100\)\:\s+(?P<n100>\d+).*"+\
3194 r"Unknown return code \(10\)\:\s+(?P<n10>\d+).*",re.DOTALL)
3195
3196 unit_code_meaning = { 0 : 'Not identified (CTModeRun != -1)',
3197 1 : 'CutTools (double precision)',
3198 2 : 'PJFry++',
3199 3 : 'IREGI',
3200 4 : 'Golem95',
3201 5 : 'Samurai',
3202 6 : 'Ninja (double precision)',
3203 7 : 'COLLIER',
3204 8 : 'Ninja (quadruple precision)',
3205 9 : 'CutTools (quadruple precision)'}
3206 RetUnit_finder =re.compile(
3207 r"#Unit\s*(?P<unit>\d+)\s*=\s*(?P<n_occurences>\d+)")
3208
3209
3210 for gv_log in log_GV_files:
3211 channel_name = '/'.join(gv_log.split('/')[-5:-1])
3212 log=open(gv_log,'r').read()
3213 UPS_stats = re.search(UPS_stat_finder,log)
3214 for retunit_stats in re.finditer(RetUnit_finder, log):
3215 if channel_name not in stats['UPS'].keys():
3216 stats['UPS'][channel_name] = [0]*10+[[0]*10]
3217 stats['UPS'][channel_name][10][int(retunit_stats.group('unit'))] \
3218 += int(retunit_stats.group('n_occurences'))
3219 if not UPS_stats is None:
3220 try:
3221 stats['UPS'][channel_name][0] += int(UPS_stats.group('ntot'))
3222 stats['UPS'][channel_name][1] += int(UPS_stats.group('nsun'))
3223 stats['UPS'][channel_name][2] += int(UPS_stats.group('nsps'))
3224 stats['UPS'][channel_name][3] += int(UPS_stats.group('nups'))
3225 stats['UPS'][channel_name][4] += int(UPS_stats.group('neps'))
3226 stats['UPS'][channel_name][5] += int(UPS_stats.group('nddp'))
3227 stats['UPS'][channel_name][6] += int(UPS_stats.group('nqdp'))
3228 stats['UPS'][channel_name][7] += int(UPS_stats.group('nini'))
3229 stats['UPS'][channel_name][8] += int(UPS_stats.group('n100'))
3230 stats['UPS'][channel_name][9] += int(UPS_stats.group('n10'))
3231 except KeyError:
3232 stats['UPS'][channel_name] = [int(UPS_stats.group('ntot')),
3233 int(UPS_stats.group('nsun')),int(UPS_stats.group('nsps')),
3234 int(UPS_stats.group('nups')),int(UPS_stats.group('neps')),
3235 int(UPS_stats.group('nddp')),int(UPS_stats.group('nqdp')),
3236 int(UPS_stats.group('nini')),int(UPS_stats.group('n100')),
3237 int(UPS_stats.group('n10')),[0]*10]
3238 debug_msg = ""
3239 if len(stats['UPS'].keys())>0:
3240 nTotPS = sum([chan[0] for chan in stats['UPS'].values()],0)
3241 nTotsun = sum([chan[1] for chan in stats['UPS'].values()],0)
3242 nTotsps = sum([chan[2] for chan in stats['UPS'].values()],0)
3243 nTotups = sum([chan[3] for chan in stats['UPS'].values()],0)
3244 nToteps = sum([chan[4] for chan in stats['UPS'].values()],0)
3245 nTotddp = sum([chan[5] for chan in stats['UPS'].values()],0)
3246 nTotqdp = sum([chan[6] for chan in stats['UPS'].values()],0)
3247 nTotini = sum([chan[7] for chan in stats['UPS'].values()],0)
3248 nTot100 = sum([chan[8] for chan in stats['UPS'].values()],0)
3249 nTot10 = sum([chan[9] for chan in stats['UPS'].values()],0)
3250 nTot1 = [sum([chan[10][i] for chan in stats['UPS'].values()],0) \
3251 for i in range(10)]
3252 UPSfracs = [(chan[0] , 0.0 if chan[1][0]==0 else \
3253 safe_float(chan[1][4]*100)/chan[1][0]) for chan in stats['UPS'].items()]
3254 maxUPS = max(UPSfracs, key = lambda w: w[1])
3255
3256 tmpStr = ""
3257 tmpStr += '\n Number of loop ME evaluations (by MadLoop): %d'%nTotPS
3258 tmpStr += '\n Stability unknown: %d'%nTotsun
3259 tmpStr += '\n Stable PS point: %d'%nTotsps
3260 tmpStr += '\n Unstable PS point (and rescued): %d'%nTotups
3261 tmpStr += '\n Unstable PS point (and not rescued): %d'%nToteps
3262 tmpStr += '\n Only double precision used: %d'%nTotddp
3263 tmpStr += '\n Quadruple precision used: %d'%nTotqdp
3264 tmpStr += '\n Initialization phase-space points: %d'%nTotini
3265 tmpStr += '\n Reduction methods used:'
3266 red_methods = [(unit_code_meaning[i],nTot1[i]) for i in \
3267 unit_code_meaning.keys() if nTot1[i]>0]
3268 for method, n in sorted(red_methods, key= lambda l: l[1], reverse=True):
3269 tmpStr += '\n > %s%s%s'%(method,' '*(33-len(method)),n)
3270 if nTot100 != 0:
3271 debug_msg += '\n Unknown return code (100): %d'%nTot100
3272 if nTot10 != 0:
3273 debug_msg += '\n Unknown return code (10): %d'%nTot10
3274 nUnknownUnit = sum(nTot1[u] for u in range(10) if u \
3275 not in unit_code_meaning.keys())
3276 if nUnknownUnit != 0:
3277 debug_msg += '\n Unknown return code (1): %d'\
3278 %nUnknownUnit
3279
3280 if maxUPS[1]>0.001:
3281 message += tmpStr
3282 message += '\n Total number of unstable PS point detected:'+\
3283 ' %d (%4.2f%%)'%(nToteps,safe_float(100*nToteps)/nTotPS)
3284 message += '\n Maximum fraction of UPS points in '+\
3285 'channel %s (%4.2f%%)'%maxUPS
3286 message += '\n Please report this to the authors while '+\
3287 'providing the file'
3288 message += '\n %s'%str(pjoin(os.path.dirname(self.me_dir),
3289 maxUPS[0],'UPS.log'))
3290 else:
3291 debug_msg += tmpStr
3292
3293
3294
3295
3296
3297
3298 virt_tricks_finder = re.compile(
3299 r"accumulated results Virtual ratio\s*=\s*-?(?P<v_ratio>[\d\+-Eed\.]*)"+\
3300 r"\s*\+/-\s*-?[\d\+-Eed\.]*\s*\(\s*-?(?P<v_ratio_err>[\d\+-Eed\.]*)\s*\%\)\s*\n"+\
3301 r"accumulated results ABS virtual\s*=\s*-?(?P<v_abs_contr>[\d\+-Eed\.]*)"+\
3302 r"\s*\+/-\s*-?[\d\+-Eed\.]*\s*\(\s*-?(?P<v_abs_contr_err>[\d\+-Eed\.]*)\s*\%\)")
3303
3304 virt_frac_finder = re.compile(r"update virtual fraction to\s*:\s*"+\
3305 "-?(?P<v_frac>[\d\+-Eed\.]*)\s*-?(?P<v_average>[\d\+-Eed\.]*)")
3306
3307 channel_contr_finder = re.compile(r"Final result \[ABS\]\s*:\s*-?(?P<v_contr>[\d\+-Eed\.]*)")
3308
3309 channel_contr_list = {}
3310 for gv_log in log_GV_files:
3311 logfile=open(gv_log,'r')
3312 log = logfile.read()
3313 logfile.close()
3314 channel_name = '/'.join(gv_log.split('/')[-3:-1])
3315 vf_stats = None
3316 for vf_stats in re.finditer(virt_frac_finder, log):
3317 pass
3318 if not vf_stats is None:
3319 v_frac = safe_float(vf_stats.group('v_frac'))
3320 v_average = safe_float(vf_stats.group('v_average'))
3321 try:
3322 if v_frac < stats['virt_stats']['v_frac_min'][0]:
3323 stats['virt_stats']['v_frac_min']=(v_frac,channel_name)
3324 if v_frac > stats['virt_stats']['v_frac_max'][0]:
3325 stats['virt_stats']['v_frac_max']=(v_frac,channel_name)
3326 stats['virt_stats']['v_frac_avg'][0] += v_frac
3327 stats['virt_stats']['v_frac_avg'][1] += 1
3328 except KeyError:
3329 stats['virt_stats']['v_frac_min']=[v_frac,channel_name]
3330 stats['virt_stats']['v_frac_max']=[v_frac,channel_name]
3331 stats['virt_stats']['v_frac_avg']=[v_frac,1]
3332
3333
3334 ccontr_stats = None
3335 for ccontr_stats in re.finditer(channel_contr_finder, log):
3336 pass
3337 if not ccontr_stats is None:
3338 contrib = safe_float(ccontr_stats.group('v_contr'))
3339 try:
3340 if contrib>channel_contr_list[channel_name]:
3341 channel_contr_list[channel_name]=contrib
3342 except KeyError:
3343 channel_contr_list[channel_name]=contrib
3344
3345
3346
3347
3348 average_contrib = 0.0
3349 for value in channel_contr_list.values():
3350 average_contrib += value
3351 if len(channel_contr_list.values()) !=0:
3352 average_contrib = average_contrib / len(channel_contr_list.values())
3353
3354 relevant_log_GV_files = []
3355 excluded_channels = set([])
3356 all_channels = set([])
3357 for log_file in log_GV_files:
3358 channel_name = '/'.join(log_file.split('/')[-3:-1])
3359 all_channels.add(channel_name)
3360 try:
3361 if channel_contr_list[channel_name] > (0.1*average_contrib):
3362 relevant_log_GV_files.append(log_file)
3363 else:
3364 excluded_channels.add(channel_name)
3365 except KeyError:
3366 relevant_log_GV_files.append(log_file)
3367
3368
3369 for gv_log in relevant_log_GV_files:
3370 logfile=open(gv_log,'r')
3371 log = logfile.read()
3372 logfile.close()
3373 channel_name = '/'.join(gv_log.split('/')[-3:-1])
3374
3375 vt_stats = None
3376 for vt_stats in re.finditer(virt_tricks_finder, log):
3377 pass
3378 if not vt_stats is None:
3379 vt_stats_group = vt_stats.groupdict()
3380 v_ratio = safe_float(vt_stats.group('v_ratio'))
3381 v_ratio_err = safe_float(vt_stats.group('v_ratio_err'))
3382 v_contr = safe_float(vt_stats.group('v_abs_contr'))
3383 v_contr_err = safe_float(vt_stats.group('v_abs_contr_err'))
3384 try:
3385 if v_ratio < stats['virt_stats']['v_ratio_min'][0]:
3386 stats['virt_stats']['v_ratio_min']=(v_ratio,channel_name)
3387 if v_ratio > stats['virt_stats']['v_ratio_max'][0]:
3388 stats['virt_stats']['v_ratio_max']=(v_ratio,channel_name)
3389 if v_ratio < stats['virt_stats']['v_ratio_err_min'][0]:
3390 stats['virt_stats']['v_ratio_err_min']=(v_ratio_err,channel_name)
3391 if v_ratio > stats['virt_stats']['v_ratio_err_max'][0]:
3392 stats['virt_stats']['v_ratio_err_max']=(v_ratio_err,channel_name)
3393 if v_contr < stats['virt_stats']['v_contr_min'][0]:
3394 stats['virt_stats']['v_contr_min']=(v_contr,channel_name)
3395 if v_contr > stats['virt_stats']['v_contr_max'][0]:
3396 stats['virt_stats']['v_contr_max']=(v_contr,channel_name)
3397 if v_contr_err < stats['virt_stats']['v_contr_err_min'][0]:
3398 stats['virt_stats']['v_contr_err_min']=(v_contr_err,channel_name)
3399 if v_contr_err > stats['virt_stats']['v_contr_err_max'][0]:
3400 stats['virt_stats']['v_contr_err_max']=(v_contr_err,channel_name)
3401 except KeyError:
3402 stats['virt_stats']['v_ratio_min']=[v_ratio,channel_name]
3403 stats['virt_stats']['v_ratio_max']=[v_ratio,channel_name]
3404 stats['virt_stats']['v_ratio_err_min']=[v_ratio_err,channel_name]
3405 stats['virt_stats']['v_ratio_err_max']=[v_ratio_err,channel_name]
3406 stats['virt_stats']['v_contr_min']=[v_contr,channel_name]
3407 stats['virt_stats']['v_contr_max']=[v_contr,channel_name]
3408 stats['virt_stats']['v_contr_err_min']=[v_contr_err,channel_name]
3409 stats['virt_stats']['v_contr_err_max']=[v_contr_err,channel_name]
3410
3411 vf_stats = None
3412 for vf_stats in re.finditer(virt_frac_finder, log):
3413 pass
3414 if not vf_stats is None:
3415 v_frac = safe_float(vf_stats.group('v_frac'))
3416 v_average = safe_float(vf_stats.group('v_average'))
3417 try:
3418 if v_average < stats['virt_stats']['v_average_min'][0]:
3419 stats['virt_stats']['v_average_min']=(v_average,channel_name)
3420 if v_average > stats['virt_stats']['v_average_max'][0]:
3421 stats['virt_stats']['v_average_max']=(v_average,channel_name)
3422 stats['virt_stats']['v_average_avg'][0] += v_average
3423 stats['virt_stats']['v_average_avg'][1] += 1
3424 except KeyError:
3425 stats['virt_stats']['v_average_min']=[v_average,channel_name]
3426 stats['virt_stats']['v_average_max']=[v_average,channel_name]
3427 stats['virt_stats']['v_average_avg']=[v_average,1]
3428
3429 try:
3430 debug_msg += '\n\n Statistics on virtual integration optimization : '
3431
3432 debug_msg += '\n Maximum virt fraction computed %.3f (%s)'\
3433 %tuple(stats['virt_stats']['v_frac_max'])
3434 debug_msg += '\n Minimum virt fraction computed %.3f (%s)'\
3435 %tuple(stats['virt_stats']['v_frac_min'])
3436 debug_msg += '\n Average virt fraction computed %.3f'\
3437 %safe_float(stats['virt_stats']['v_frac_avg'][0]/safe_float(stats['virt_stats']['v_frac_avg'][1]))
3438 debug_msg += '\n Stats below exclude negligible channels (%d excluded out of %d)'%\
3439 (len(excluded_channels),len(all_channels))
3440 debug_msg += '\n Maximum virt ratio used %.2f (%s)'\
3441 %tuple(stats['virt_stats']['v_average_max'])
3442 debug_msg += '\n Maximum virt ratio found from grids %.2f (%s)'\
3443 %tuple(stats['virt_stats']['v_ratio_max'])
3444 tmpStr = '\n Max. MC err. on virt ratio from grids %.1f %% (%s)'\
3445 %tuple(stats['virt_stats']['v_ratio_err_max'])
3446 debug_msg += tmpStr
3447
3448
3449
3450
3451
3452
3453
3454
3455 tmpStr = '\n Maximum MC error on abs virt %.1f %% (%s)'\
3456 %tuple(stats['virt_stats']['v_contr_err_max'])
3457 debug_msg += tmpStr
3458
3459
3460
3461
3462 except KeyError:
3463 debug_msg += '\n Could not find statistics on the integration optimization. '
3464
3465
3466
3467
3468
3469 timing_stat_finder = re.compile(r"\s*Time spent in\s*(?P<name>\w*)\s*:\s*"+\
3470 "(?P<time>[\d\+-Eed\.]*)\s*")
3471
3472 for logf in log_GV_files:
3473 logfile=open(logf,'r')
3474 log = logfile.read()
3475 logfile.close()
3476 channel_name = '/'.join(logf.split('/')[-3:-1])
3477 mint = re.search(mint_search,logf)
3478 if not mint is None:
3479 channel_name = channel_name+' [step %s]'%mint.group('ID')
3480
3481 for time_stats in re.finditer(timing_stat_finder, log):
3482 try:
3483 stats['timings'][time_stats.group('name')][channel_name]+=\
3484 safe_float(time_stats.group('time'))
3485 except KeyError:
3486 if time_stats.group('name') not in stats['timings'].keys():
3487 stats['timings'][time_stats.group('name')] = {}
3488 stats['timings'][time_stats.group('name')][channel_name]=\
3489 safe_float(time_stats.group('time'))
3490
3491
3492 Tstr = lambda secs: str(datetime.timedelta(seconds=int(secs)))
3493 try:
3494 totTimeList = [(time, chan) for chan, time in \
3495 stats['timings']['Total'].items()]
3496 except KeyError:
3497 totTimeList = []
3498
3499 totTimeList.sort()
3500 if len(totTimeList)>0:
3501 debug_msg += '\n\n Inclusive timing profile :'
3502 debug_msg += '\n Overall slowest channel %s (%s)'%\
3503 (Tstr(totTimeList[-1][0]),totTimeList[-1][1])
3504 debug_msg += '\n Average channel running time %s'%\
3505 Tstr(sum([el[0] for el in totTimeList])/len(totTimeList))
3506 debug_msg += '\n Aggregated total running time %s'%\
3507 Tstr(sum([el[0] for el in totTimeList]))
3508 else:
3509 debug_msg += '\n\n Inclusive timing profile non available.'
3510
3511 sorted_keys = sorted(stats['timings'].keys(), key= lambda stat: \
3512 sum(stats['timings'][stat].values()), reverse=True)
3513 for name in sorted_keys:
3514 if name=='Total':
3515 continue
3516 if sum(stats['timings'][name].values())<=0.0:
3517 debug_msg += '\n Zero time record for %s.'%name
3518 continue
3519 try:
3520 TimeList = [((100.0*time/stats['timings']['Total'][chan]),
3521 chan) for chan, time in stats['timings'][name].items()]
3522 except KeyError, ZeroDivisionError:
3523 debug_msg += '\n\n Timing profile for %s unavailable.'%name
3524 continue
3525 TimeList.sort()
3526 debug_msg += '\n Timing profile for <%s> :'%name
3527 try:
3528 debug_msg += '\n Overall fraction of time %.3f %%'%\
3529 safe_float((100.0*(sum(stats['timings'][name].values())/
3530 sum(stats['timings']['Total'].values()))))
3531 except KeyError, ZeroDivisionError:
3532 debug_msg += '\n Overall fraction of time unavailable.'
3533 debug_msg += '\n Largest fraction of time %.3f %% (%s)'%\
3534 (TimeList[-1][0],TimeList[-1][1])
3535 debug_msg += '\n Smallest fraction of time %.3f %% (%s)'%\
3536 (TimeList[0][0],TimeList[0][1])
3537
3538
3539
3540
3541
3542
3543
3544
3545
3546
3547 err_finder = re.compile(\
3548 r"(?<!of\spaper\sfor\s)\bERROR\b(?!\scalculation\.)",re.IGNORECASE)
3549 for log in all_log_files:
3550 logfile=open(log,'r')
3551 nErrors = len(re.findall(err_finder, logfile.read()))
3552 logfile.close()
3553 if nErrors != 0:
3554 stats['Errors'].append((str(log),nErrors))
3555
3556 nErrors = sum([err[1] for err in stats['Errors']],0)
3557 if nErrors != 0:
3558 debug_msg += '\n WARNING:: A total of %d error%s ha%s been '\
3559 %(nErrors,'s' if nErrors>1 else '','ve' if nErrors>1 else 's')+\
3560 'found in the following log file%s:'%('s' if \
3561 len(stats['Errors'])>1 else '')
3562 for error in stats['Errors'][:3]:
3563 log_name = '/'.join(error[0].split('/')[-5:])
3564 debug_msg += '\n > %d error%s in %s'%\
3565 (error[1],'s' if error[1]>1 else '',log_name)
3566 if len(stats['Errors'])>3:
3567 nRemainingErrors = sum([err[1] for err in stats['Errors']][3:],0)
3568 nRemainingLogs = len(stats['Errors'])-3
3569 debug_msg += '\n And another %d error%s in %d other log file%s'%\
3570 (nRemainingErrors, 's' if nRemainingErrors>1 else '',
3571 nRemainingLogs, 's ' if nRemainingLogs>1 else '')
3572
3573 return message, debug_msg
3574
3575
3577 """this function calls the reweighting routines and creates the event file in the
3578 Event dir. Return the name of the event file created
3579 """
3580 scale_pdf_info=[]
3581 if any(self.run_card['reweight_scale']) or any(self.run_card['reweight_PDF']) or \
3582 len(self.run_card['dynamical_scale_choice']) > 1 or len(self.run_card['lhaid']) > 1:
3583 scale_pdf_info = self.run_reweight(options['reweightonly'])
3584 self.update_status('Collecting events', level='parton', update_results=True)
3585 misc.compile(['collect_events'],
3586 cwd=pjoin(self.me_dir, 'SubProcesses'), nocompile=options['nocompile'])
3587 p = misc.Popen(['./collect_events'], cwd=pjoin(self.me_dir, 'SubProcesses'),
3588 stdin=subprocess.PIPE,
3589 stdout=open(pjoin(self.me_dir, 'collect_events.log'), 'w'))
3590 if event_norm.lower() == 'sum':
3591 p.communicate(input = '1\n')
3592 elif event_norm.lower() == 'unity':
3593 p.communicate(input = '3\n')
3594 elif event_norm.lower() == 'bias':
3595 p.communicate(input = '0\n')
3596 else:
3597 p.communicate(input = '2\n')
3598
3599
3600 filename = open(pjoin(self.me_dir, 'collect_events.log')).read().split()[-1]
3601
3602 if not os.path.exists(pjoin(self.me_dir, 'SubProcesses', filename)):
3603 raise aMCatNLOError('An error occurred during event generation. ' + \
3604 'The event file has not been created. Check collect_events.log')
3605 evt_file = pjoin(self.me_dir, 'Events', self.run_name, 'events.lhe.gz')
3606 misc.gzip(pjoin(self.me_dir, 'SubProcesses', filename), stdout=evt_file)
3607 if not options['reweightonly']:
3608 self.print_summary(options, 2, mode, scale_pdf_info)
3609 res_files = misc.glob('res*.txt', pjoin(self.me_dir, 'SubProcesses'))
3610 for res_file in res_files:
3611 files.mv(res_file,pjoin(self.me_dir, 'Events', self.run_name))
3612
3613 logger.info('The %s file has been generated.\n' % (evt_file))
3614 self.results.add_detail('nb_event', nevents)
3615 self.update_status('Events generated', level='parton', update_results=True)
3616 return evt_file[:-3]
3617
3618
3620 """runs mcatnlo on the generated event file, to produce showered-events
3621 """
3622 logger.info('Preparing MCatNLO run')
3623 try:
3624 misc.gunzip(evt_file)
3625 except Exception:
3626 pass
3627
3628 self.banner = banner_mod.Banner(evt_file)
3629 shower = self.banner.get_detail('run_card', 'parton_shower').upper()
3630
3631
3632
3633 if int(self.banner.get_detail('run_card', 'nevents') / \
3634 self.shower_card['nsplit_jobs']) * self.shower_card['nsplit_jobs'] \
3635 != self.banner.get_detail('run_card', 'nevents'):
3636 logger.warning(\
3637 'nsplit_jobs in the shower card is not a divisor of the number of events.\n' + \
3638 'Setting it to 1.')
3639 self.shower_card['nsplit_jobs'] = 1
3640
3641
3642 if self.shower_card['nevents'] > 0 and \
3643 self.shower_card['nevents'] < self.banner.get_detail('run_card', 'nevents') and \
3644 self.shower_card['nsplit_jobs'] != 1:
3645 logger.warning(\
3646 'Only a part of the events will be showered.\n' + \
3647 'Setting nsplit_jobs in the shower_card to 1.')
3648 self.shower_card['nsplit_jobs'] = 1
3649
3650 self.banner_to_mcatnlo(evt_file)
3651
3652
3653
3654
3655 if 'fastjet' in self.shower_card['extralibs']:
3656
3657 if not 'stdc++' in self.shower_card['extralibs']:
3658 logger.warning('Linking FastJet: adding stdc++ to EXTRALIBS')
3659 self.shower_card['extralibs'] += ' stdc++'
3660
3661 try:
3662
3663 p = subprocess.Popen([self.options['fastjet'], '--prefix'], \
3664 stdout=subprocess.PIPE, stderr=subprocess.PIPE)
3665 output, error = p.communicate()
3666
3667 output = output[:-1]
3668
3669 if not pjoin(output, 'lib') in self.shower_card['extrapaths']:
3670 logger.warning('Linking FastJet: updating EXTRAPATHS')
3671 self.shower_card['extrapaths'] += ' ' + pjoin(output, 'lib')
3672 if not pjoin(output, 'include') in self.shower_card['includepaths']:
3673 logger.warning('Linking FastJet: updating INCLUDEPATHS')
3674 self.shower_card['includepaths'] += ' ' + pjoin(output, 'include')
3675
3676 include_line = '#include "fastjet/ClusterSequence.hh"//INCLUDE_FJ'
3677 namespace_line = 'namespace fj = fastjet;//NAMESPACE_FJ'
3678 except Exception:
3679 logger.warning('Linking FastJet: using fjcore')
3680
3681 self.shower_card['extralibs'] = self.shower_card['extralibs'].replace('fastjet', '')
3682 if not 'fjcore.o' in self.shower_card['analyse']:
3683 self.shower_card['analyse'] += ' fjcore.o'
3684
3685 include_line = '#include "fjcore.hh"//INCLUDE_FJ'
3686 namespace_line = 'namespace fj = fjcore;//NAMESPACE_FJ'
3687
3688 fjwrapper_lines = open(pjoin(self.me_dir, 'MCatNLO', 'srcCommon', 'myfastjetfortran.cc')).read().split('\n')
3689 for line in fjwrapper_lines:
3690 if '//INCLUDE_FJ' in line:
3691 fjwrapper_lines[fjwrapper_lines.index(line)] = include_line
3692 if '//NAMESPACE_FJ' in line:
3693 fjwrapper_lines[fjwrapper_lines.index(line)] = namespace_line
3694 with open(pjoin(self.me_dir, 'MCatNLO', 'srcCommon', 'myfastjetfortran.cc'), 'w') as fsock:
3695 fsock.write('\n'.join(fjwrapper_lines) + '\n')
3696
3697 extrapaths = self.shower_card['extrapaths'].split()
3698
3699
3700 if shower in ['HERWIGPP', 'PYTHIA8']:
3701 path_dict = {'HERWIGPP': ['hepmc_path',
3702 'thepeg_path',
3703 'hwpp_path'],
3704 'PYTHIA8': ['pythia8_path']}
3705
3706 if not all([self.options[ppath] and os.path.exists(self.options[ppath]) for ppath in path_dict[shower]]):
3707 raise aMCatNLOError('Some paths are missing or invalid in the configuration file.\n' + \
3708 ('Please make sure you have set these variables: %s' % ', '.join(path_dict[shower])))
3709
3710 if shower == 'HERWIGPP':
3711 extrapaths.append(pjoin(self.options['hepmc_path'], 'lib'))
3712 self.shower_card['extrapaths'] += ' %s' % pjoin(self.options['hepmc_path'], 'lib')
3713
3714
3715 if shower == 'PYTHIA8':
3716 hepmc = subprocess.Popen([pjoin(self.options['pythia8_path'], 'bin', 'pythia8-config'), '--hepmc2'],
3717 stdout = subprocess.PIPE).stdout.read().strip()
3718
3719
3720
3721 extrapaths.append(hepmc.split()[1].replace('-L', ''))
3722
3723 if shower == 'PYTHIA8' and not os.path.exists(pjoin(self.options['pythia8_path'], 'xmldoc')):
3724 extrapaths.append(pjoin(self.options['pythia8_path'], 'lib'))
3725
3726
3727 if sys.platform == 'darwin':
3728 ld_library_path = 'DYLD_LIBRARY_PATH'
3729 else:
3730 ld_library_path = 'LD_LIBRARY_PATH'
3731 if ld_library_path in os.environ.keys():
3732 paths = os.environ[ld_library_path]
3733 else:
3734 paths = ''
3735 paths += ':' + ':'.join(extrapaths)
3736 os.putenv(ld_library_path, paths)
3737
3738 shower_card_path = pjoin(self.me_dir, 'MCatNLO', 'shower_card.dat')
3739 self.shower_card.write_card(shower, shower_card_path)
3740
3741
3742 if os.path.exists(pjoin(self.me_dir, 'MCatNLO', 'shower_card_set.dat')):
3743 files.mv(pjoin(self.me_dir, 'MCatNLO', 'shower_card_set.dat'),
3744 pjoin(self.me_dir, 'MCatNLO', 'shower_card.dat'))
3745
3746 mcatnlo_log = pjoin(self.me_dir, 'mcatnlo.log')
3747 self.update_status('Compiling MCatNLO for %s...' % shower, level='shower')
3748
3749
3750
3751
3752
3753
3754
3755
3756
3757
3758
3759
3760 misc.call(['./MCatNLO_MadFKS.inputs'], stdout=open(mcatnlo_log, 'w'),
3761 stderr=open(mcatnlo_log, 'w'),
3762 cwd=pjoin(self.me_dir, 'MCatNLO'),
3763 close_fds=True)
3764
3765 exe = 'MCATNLO_%s_EXE' % shower
3766 if not os.path.exists(pjoin(self.me_dir, 'MCatNLO', exe)) and \
3767 not os.path.exists(pjoin(self.me_dir, 'MCatNLO', 'Pythia8.exe')):
3768 print open(mcatnlo_log).read()
3769 raise aMCatNLOError('Compilation failed, check %s for details' % mcatnlo_log)
3770 logger.info(' ... done')
3771
3772
3773 count = 1
3774 while os.path.isdir(pjoin(self.me_dir, 'MCatNLO', 'RUN_%s_%d' % \
3775 (shower, count))):
3776 count += 1
3777 rundir = pjoin(self.me_dir, 'MCatNLO', 'RUN_%s_%d' % \
3778 (shower, count))
3779 os.mkdir(rundir)
3780 files.cp(shower_card_path, rundir)
3781
3782
3783
3784 event_files = misc.glob('events_*.lhe', pjoin(self.me_dir, 'Events', self.run_name))
3785 if max(len(event_files), 1) != self.shower_card['nsplit_jobs']:
3786 logger.info('Cleaning old files and splitting the event file...')
3787
3788 files.rm([f for f in event_files if 'events.lhe' not in f])
3789 if self.shower_card['nsplit_jobs'] > 1:
3790 misc.compile(['split_events'], cwd = pjoin(self.me_dir, 'Utilities'), nocompile=options['nocompile'])
3791 p = misc.Popen([pjoin(self.me_dir, 'Utilities', 'split_events')],
3792 stdin=subprocess.PIPE,
3793 stdout=open(pjoin(self.me_dir, 'Events', self.run_name, 'split_events.log'), 'w'),
3794 cwd=pjoin(self.me_dir, 'Events', self.run_name))
3795 p.communicate(input = 'events.lhe\n%d\n' % self.shower_card['nsplit_jobs'])
3796 logger.info('Splitting done.')
3797 event_files = misc.glob('events_*.lhe', pjoin(self.me_dir, 'Events', self.run_name))
3798
3799 event_files.sort()
3800
3801 self.update_status('Showering events...', level='shower')
3802 logger.info('(Running in %s)' % rundir)
3803 if shower != 'PYTHIA8':
3804 files.mv(pjoin(self.me_dir, 'MCatNLO', exe), rundir)
3805 files.mv(pjoin(self.me_dir, 'MCatNLO', 'MCATNLO_%s_input' % shower), rundir)
3806 else:
3807
3808 files.mv(pjoin(self.me_dir, 'MCatNLO', 'Pythia8.cmd'), rundir)
3809 files.mv(pjoin(self.me_dir, 'MCatNLO', 'Pythia8.exe'), rundir)
3810 if os.path.exists(pjoin(self.options['pythia8_path'], 'xmldoc')):
3811 files.ln(pjoin(self.options['pythia8_path'], 'examples', 'config.sh'), rundir)
3812 files.ln(pjoin(self.options['pythia8_path'], 'xmldoc'), rundir)
3813 else:
3814 files.ln(pjoin(self.options['pythia8_path'], 'share/Pythia8/xmldoc'), rundir)
3815
3816 if shower == 'HERWIGPP':
3817 try:
3818 if os.path.exists(pjoin(self.options['hwpp_path'], 'bin', 'Herwig++')):
3819 files.ln(pjoin(self.options['hwpp_path'], 'bin', 'Herwig++'), rundir)
3820 if os.path.exists(pjoin(self.options['hwpp_path'], 'bin', 'Herwig')):
3821 files.ln(pjoin(self.options['hwpp_path'], 'bin', 'Herwig'), rundir)
3822 except Exception:
3823 raise aMCatNLOError('The Herwig++ path set in the configuration file is not valid.')
3824
3825 if os.path.exists(pjoin(self.me_dir, 'MCatNLO', 'HWPPAnalyzer', 'HepMCFortran.so')):
3826 files.cp(pjoin(self.me_dir, 'MCatNLO', 'HWPPAnalyzer', 'HepMCFortran.so'), rundir)
3827
3828 files.ln(evt_file, rundir, 'events.lhe')
3829 for i, f in enumerate(event_files):
3830 files.ln(f, rundir,'events_%d.lhe' % (i + 1))
3831
3832 if not self.shower_card['analyse']:
3833
3834 out_id = 'HEP'
3835 else:
3836
3837 if "HwU" in self.shower_card['analyse']:
3838 out_id = 'HWU'
3839 else:
3840 out_id = 'TOP'
3841
3842
3843 with open(pjoin(rundir, 'shower.sh'), 'w') as fsock:
3844
3845 if sys.platform == 'darwin':
3846 ld_library_path = 'DYLD_LIBRARY_PATH'
3847 else:
3848 ld_library_path = 'LD_LIBRARY_PATH'
3849 fsock.write(open(pjoin(self.me_dir, 'MCatNLO', 'shower_template.sh')).read() \
3850 % {'ld_library_path': ld_library_path,
3851 'extralibs': ':'.join(extrapaths)})
3852 subprocess.call(['chmod', '+x', pjoin(rundir, 'shower.sh')])
3853
3854 if event_files:
3855 arg_list = [[shower, out_id, self.run_name, '%d' % (i + 1)] \
3856 for i in range(len(event_files))]
3857 else:
3858 arg_list = [[shower, out_id, self.run_name]]
3859
3860 self.run_all({rundir: 'shower.sh'}, arg_list, 'shower')
3861 self.njobs = 1
3862 self.wait_for_complete('shower')
3863
3864
3865 message = ''
3866 warning = ''
3867 to_gzip = [evt_file]
3868 if out_id == 'HEP':
3869
3870 if shower in ['PYTHIA8', 'HERWIGPP']:
3871 hep_format = 'HEPMC'
3872 ext = 'hepmc'
3873 else:
3874 hep_format = 'StdHEP'
3875 ext = 'hep'
3876
3877 hep_file = '%s_%s_0.%s.gz' % \
3878 (pjoin(os.path.dirname(evt_file), 'events'), shower, ext)
3879 count = 0
3880
3881
3882
3883 while os.path.exists(hep_file) or \
3884 os.path.exists(hep_file.replace('.%s.gz' % ext, '__1.%s.gz' % ext)) :
3885 count +=1
3886 hep_file = '%s_%s_%d.%s.gz' % \
3887 (pjoin(os.path.dirname(evt_file), 'events'), shower, count, ext)
3888
3889 try:
3890 if self.shower_card['nsplit_jobs'] == 1:
3891 files.mv(os.path.join(rundir, 'events.%s.gz' % ext), hep_file)
3892 message = ('The file %s has been generated. \nIt contains showered' + \
3893 ' and hadronized events in the %s format obtained' + \
3894 ' showering the parton-level event file %s.gz with %s') % \
3895 (hep_file, hep_format, evt_file, shower)
3896 else:
3897 hep_list = []
3898 for i in range(self.shower_card['nsplit_jobs']):
3899 hep_list.append(hep_file.replace('.%s.gz' % ext, '__%d.%s.gz' % (i + 1, ext)))
3900 files.mv(os.path.join(rundir, 'events_%d.%s.gz' % (i + 1, ext)), hep_list[-1])
3901 message = ('The following files have been generated:\n %s\nThey contain showered' + \
3902 ' and hadronized events in the %s format obtained' + \
3903 ' showering the (split) parton-level event file %s.gz with %s') % \
3904 ('\n '.join(hep_list), hep_format, evt_file, shower)
3905
3906 except OSError, IOError:
3907 raise aMCatNLOError('No file has been generated, an error occurred.'+\
3908 ' More information in %s' % pjoin(os.getcwd(), 'amcatnlo_run.log'))
3909
3910
3911 if hep_format == 'StdHEP':
3912 try:
3913 self.do_plot('%s -f' % self.run_name)
3914 except Exception, error:
3915 logger.info("Fail to make the plot. Continue...")
3916 pass
3917
3918 elif out_id == 'TOP' or out_id == 'HWU':
3919
3920 if out_id=='TOP':
3921 ext='top'
3922 elif out_id=='HWU':
3923 ext='HwU'
3924 topfiles = []
3925 top_tars = [tarfile.TarFile(f) for f in misc.glob('histfile*.tar', rundir)]
3926 for top_tar in top_tars:
3927 topfiles.extend(top_tar.getnames())
3928
3929
3930 if len(top_tars) != self.shower_card['nsplit_jobs']:
3931 raise aMCatNLOError('%d job(s) expected, %d file(s) found' % \
3932 (self.shower_card['nsplit_jobs'], len(top_tars)))
3933
3934
3935
3936 filename = 'plot_%s_%d_' % (shower, 1)
3937 count = 1
3938 while os.path.exists(pjoin(self.me_dir, 'Events',
3939 self.run_name, '%s0.%s' % (filename,ext))) or \
3940 os.path.exists(pjoin(self.me_dir, 'Events',
3941 self.run_name, '%s0__1.%s' % (filename,ext))):
3942 count += 1
3943 filename = 'plot_%s_%d_' % (shower, count)
3944
3945 if out_id=='TOP':
3946 hist_format='TopDrawer format'
3947 elif out_id=='HWU':
3948 hist_format='HwU and GnuPlot formats'
3949
3950 if not topfiles:
3951
3952 warning = 'No .top file has been generated. For the results of your ' +\
3953 'run, please check inside %s' % rundir
3954 elif self.shower_card['nsplit_jobs'] == 1:
3955
3956 top_tars[0].extractall(path = rundir)
3957 plotfiles = []
3958 for i, file in enumerate(topfiles):
3959 if out_id=='TOP':
3960 plotfile = pjoin(self.me_dir, 'Events', self.run_name,
3961 '%s%d.top' % (filename, i))
3962 files.mv(pjoin(rundir, file), plotfile)
3963 elif out_id=='HWU':
3964 out=pjoin(self.me_dir,'Events',
3965 self.run_name,'%s%d'% (filename,i))
3966 histos=[{'dirname':pjoin(rundir,file)}]
3967 self.combine_plots_HwU(histos,out)
3968 try:
3969 misc.call(['gnuplot','%s%d.gnuplot' % (filename,i)],\
3970 stdout=os.open(os.devnull, os.O_RDWR),\
3971 stderr=os.open(os.devnull, os.O_RDWR),\
3972 cwd=pjoin(self.me_dir, 'Events', self.run_name))
3973 except Exception:
3974 pass
3975 plotfile=pjoin(self.me_dir,'Events',self.run_name,
3976 '%s%d.HwU'% (filename,i))
3977 plotfiles.append(plotfile)
3978
3979 ffiles = 'files'
3980 have = 'have'
3981 if len(plotfiles) == 1:
3982 ffiles = 'file'
3983 have = 'has'
3984
3985 message = ('The %s %s %s been generated, with histograms in the' + \
3986 ' %s, obtained by showering the parton-level' + \
3987 ' file %s.gz with %s.') % (ffiles, ', '.join(plotfiles), have, \
3988 hist_format, evt_file, shower)
3989 else:
3990
3991 topfiles_set = set(topfiles)
3992 plotfiles = []
3993 for j, top_tar in enumerate(top_tars):
3994 top_tar.extractall(path = rundir)
3995 for i, file in enumerate(topfiles_set):
3996 plotfile = pjoin(self.me_dir, 'Events', self.run_name,
3997 '%s%d__%d.%s' % (filename, i, j + 1,ext))
3998 files.mv(pjoin(rundir, file), plotfile)
3999 plotfiles.append(plotfile)
4000
4001
4002 if self.shower_card['combine_td']:
4003 misc.compile(['sum_plots'], cwd = pjoin(self.me_dir, 'Utilities'))
4004
4005 if self.banner.get('run_card', 'event_norm').lower() == 'sum':
4006 norm = 1.
4007 else:
4008 norm = 1./float(self.shower_card['nsplit_jobs'])
4009
4010 plotfiles2 = []
4011 for i, file in enumerate(topfiles_set):
4012 filelist = ['%s%d__%d.%s' % (filename, i, j + 1,ext) \
4013 for j in range(self.shower_card['nsplit_jobs'])]
4014 if out_id=='TOP':
4015 infile="%d\n%s\n%s\n" % \
4016 (self.shower_card['nsplit_jobs'],
4017 '\n'.join(filelist),
4018 '\n'.join([str(norm)] * self.shower_card['nsplit_jobs']))
4019 p = misc.Popen([pjoin(self.me_dir, 'Utilities', 'sum_plots')],
4020 stdin=subprocess.PIPE,
4021 stdout=os.open(os.devnull, os.O_RDWR),
4022 cwd=pjoin(self.me_dir, 'Events', self.run_name))
4023 p.communicate(input = infile)
4024 files.mv(pjoin(self.me_dir, 'Events', self.run_name, 'sum.top'),
4025 pjoin(self.me_dir, 'Events', self.run_name, '%s%d.top' % (filename, i)))
4026 elif out_id=='HWU':
4027 out=pjoin(self.me_dir,'Events',
4028 self.run_name,'%s%d'% (filename,i))
4029 histos=[]
4030 norms=[]
4031 for plotfile in plotfiles:
4032 histos.append({'dirname':plotfile})
4033 norms.append(norm)
4034 self.combine_plots_HwU(histos,out,normalisation=norms)
4035 try:
4036 misc.call(['gnuplot','%s%d.gnuplot' % (filename, i)],\
4037 stdout=os.open(os.devnull, os.O_RDWR),\
4038 stderr=os.open(os.devnull, os.O_RDWR),\
4039 cwd=pjoin(self.me_dir, 'Events',self.run_name))
4040 except Exception:
4041 pass
4042
4043 plotfiles2.append(pjoin(self.me_dir, 'Events', self.run_name, '%s%d.%s' % (filename, i,ext)))
4044 tar = tarfile.open(
4045 pjoin(self.me_dir, 'Events', self.run_name, '%s%d.tar.gz' % (filename, i)), 'w:gz')
4046 for f in filelist:
4047 tar.add(pjoin(self.me_dir, 'Events', self.run_name, f), arcname=f)
4048 files.rm([pjoin(self.me_dir, 'Events', self.run_name, f) for f in filelist])
4049
4050 tar.close()
4051
4052 ffiles = 'files'
4053 have = 'have'
4054 if len(plotfiles2) == 1:
4055 ffiles = 'file'
4056 have = 'has'
4057
4058 message = ('The %s %s %s been generated, with histograms in the' + \
4059 ' %s, obtained by showering the parton-level' + \
4060 ' file %s.gz with %s.\n' + \
4061 'The files from the different shower ' + \
4062 'jobs (before combining them) can be found inside %s.') % \
4063 (ffiles, ', '.join(plotfiles2), have, hist_format,\
4064 evt_file, shower,
4065 ', '.join([f.replace('%s' % ext, 'tar.gz') for f in plotfiles2]))
4066
4067 else:
4068 message = ('The following files have been generated:\n %s\n' + \
4069 'They contain histograms in the' + \
4070 ' %s, obtained by showering the parton-level' + \
4071 ' file %s.gz with %s.') % ('\n '.join(plotfiles), \
4072 hist_format, evt_file, shower)
4073
4074
4075 run_dir_path = pjoin(rundir, self.run_name)
4076 if os.path.exists(pjoin(run_dir_path,'RunMaterial.tar.gz')):
4077 misc.call(['tar','-xzpf','RunMaterial.tar.gz'],cwd=run_dir_path)
4078 files.cp(pjoin(self.me_dir,'Cards','shower_card.dat'),
4079 pjoin(run_dir_path,'RunMaterial','shower_card_for_%s_%d.dat'\
4080 %(shower, count)))
4081 misc.call(['tar','-czpf','RunMaterial.tar.gz','RunMaterial'],
4082 cwd=run_dir_path)
4083 shutil.rmtree(pjoin(run_dir_path,'RunMaterial'))
4084
4085 for f in to_gzip:
4086 misc.gzip(f)
4087 if message:
4088 logger.info(message)
4089 if warning:
4090 logger.warning(warning)
4091
4092 self.update_status('Run complete', level='shower', update_results=True)
4093
4094
4095 - def set_run_name(self, name, tag=None, level='parton', reload_card=False):
4096 """define the run name, the run_tag, the banner and the results."""
4097
4098
4099 upgrade_tag = {'parton': ['parton','delphes','shower','madanalysis5_hadron'],
4100 'shower': ['shower','delphes','madanalysis5_hadron'],
4101 'delphes':['delphes'],
4102 'madanalysis5_hadron':['madanalysis5_hadron'],
4103 'plot':[]}
4104
4105 if name == self.run_name:
4106 if reload_card:
4107 run_card = pjoin(self.me_dir, 'Cards','run_card.dat')
4108 self.run_card = banner_mod.RunCardNLO(run_card)
4109
4110
4111 if tag:
4112 self.run_card['run_tag'] = tag
4113 self.run_tag = tag
4114 self.results.add_run(self.run_name, self.run_card)
4115 else:
4116 for tag in upgrade_tag[level]:
4117 if getattr(self.results[self.run_name][-1], tag):
4118 tag = self.get_available_tag()
4119 self.run_card['run_tag'] = tag
4120 self.run_tag = tag
4121 self.results.add_run(self.run_name, self.run_card)
4122 break
4123 return
4124
4125
4126 if self.run_name:
4127 self.store_result()
4128
4129 self.run_name = name
4130
4131
4132 run_card = pjoin(self.me_dir, 'Cards','run_card.dat')
4133 self.run_card = banner_mod.RunCardNLO(run_card)
4134
4135 new_tag = False
4136
4137 self.banner = banner_mod.recover_banner(self.results, level, self.run_name, tag)
4138 if 'mgruncard' in self.banner:
4139 self.run_card = self.banner.charge_card('run_card')
4140 if tag:
4141 self.run_card['run_tag'] = tag
4142 new_tag = True
4143 elif not self.run_name in self.results and level =='parton':
4144 pass
4145 elif not self.run_name in self.results:
4146
4147 logger.warning('Trying to run data on unknown run.')
4148 self.results.add_run(name, self.run_card)
4149 self.results.update('add run %s' % name, 'all', makehtml=True)
4150 else:
4151 for tag in upgrade_tag[level]:
4152
4153 if getattr(self.results[self.run_name][-1], tag):
4154
4155 tag = self.get_available_tag()
4156 self.run_card['run_tag'] = tag
4157 new_tag = True
4158 break
4159 if not new_tag:
4160
4161 tag = self.results[self.run_name][-1]['tag']
4162 self.run_card['run_tag'] = tag
4163
4164
4165 if name in self.results and not new_tag:
4166 self.results.def_current(self.run_name)
4167 else:
4168 self.results.add_run(self.run_name, self.run_card)
4169
4170 self.run_tag = self.run_card['run_tag']
4171
4172
4173
4174 if level == 'parton':
4175 return
4176 elif level == 'pythia':
4177 return self.results[self.run_name][0]['tag']
4178 else:
4179 for i in range(-1,-len(self.results[self.run_name])-1,-1):
4180 tagRun = self.results[self.run_name][i]
4181 if tagRun.pythia:
4182 return tagRun['tag']
4183
4184
4186 """ tar the pythia results. This is done when we are quite sure that
4187 the pythia output will not be use anymore """
4188
4189 if not self.run_name:
4190 return
4191
4192 self.results.save()
4193
4194 if not self.to_store:
4195 return
4196
4197 if 'event' in self.to_store:
4198 if os.path.exists(pjoin(self.me_dir,'Events', self.run_name, 'events.lhe')):
4199 if not os.path.exists(pjoin(self.me_dir,'Events', self.run_name, 'events.lhe.gz')):
4200 self.update_status('gzipping output file: events.lhe', level='parton', error=True)
4201 misc.gzip(pjoin(self.me_dir,'Events', self.run_name, 'events.lhe'))
4202 else:
4203 os.remove(pjoin(self.me_dir,'Events', self.run_name, 'events.lhe'))
4204 if os.path.exists(pjoin(self.me_dir,'Events','reweight.lhe')):
4205 os.remove(pjoin(self.me_dir,'Events', 'reweight.lhe'))
4206
4207
4208 tag = self.run_card['run_tag']
4209
4210 self.to_store = []
4211
4212
4213
4215 """get the list of Gdirectory if not yet saved."""
4216
4217 if hasattr(self, "Gdirs"):
4218 if self.me_dir in self.Gdirs:
4219 if Pdir is None:
4220 return sum(self.Gdirs.values())
4221 else:
4222 return self.Gdirs[Pdir]
4223
4224 Pdirs = self.get_Pdir()
4225 Gdirs = {self.me_dir:[]}
4226 for P in Pdirs:
4227 Gdirs[P] = [pjoin(P,G) for G in os.listdir(P) if G.startswith('G') and
4228 os.path.isdir(pjoin(P,G))]
4229
4230 self.Gdirs = Gdirs
4231 return self.getGdir(Pdir)
4232
4233
4235 """reads the info in the init block and returns them in a dictionary"""
4236 ev_file = open(evt_file)
4237 init = ""
4238 found = False
4239 while True:
4240 line = ev_file.readline()
4241 if "<init>" in line:
4242 found = True
4243 elif found and not line.startswith('#'):
4244 init += line
4245 if "</init>" in line or "<event>" in line:
4246 break
4247 ev_file.close()
4248
4249
4250
4251
4252
4253
4254 init_dict = {}
4255 init_dict['idbmup1'] = int(init.split()[0])
4256 init_dict['idbmup2'] = int(init.split()[1])
4257 init_dict['ebmup1'] = float(init.split()[2])
4258 init_dict['ebmup2'] = float(init.split()[3])
4259 init_dict['pdfgup1'] = int(init.split()[4])
4260 init_dict['pdfgup2'] = int(init.split()[5])
4261 init_dict['pdfsup1'] = int(init.split()[6])
4262 init_dict['pdfsup2'] = int(init.split()[7])
4263 init_dict['idwtup'] = int(init.split()[8])
4264 init_dict['nprup'] = int(init.split()[9])
4265
4266 return init_dict
4267
4268
4270 """creates the mcatnlo input script using the values set in the header of the event_file.
4271 It also checks if the lhapdf library is used"""
4272
4273 shower = self.banner.get('run_card', 'parton_shower').upper()
4274 pdlabel = self.banner.get('run_card', 'pdlabel')
4275 itry = 0
4276 nevents = self.shower_card['nevents']
4277 init_dict = self.get_init_dict(evt_file)
4278
4279 if nevents < 0 or \
4280 nevents > self.banner.get_detail('run_card', 'nevents'):
4281 nevents = self.banner.get_detail('run_card', 'nevents')
4282
4283 nevents = nevents / self.shower_card['nsplit_jobs']
4284
4285 mcmass_dict = {}
4286 for line in [l for l in self.banner['montecarlomasses'].split('\n') if l]:
4287 pdg = int(line.split()[0])
4288 mass = float(line.split()[1])
4289 mcmass_dict[pdg] = mass
4290
4291 content = 'EVPREFIX=%s\n' % pjoin(os.path.split(evt_file)[1])
4292 content += 'NEVENTS=%d\n' % nevents
4293 content += 'NEVENTS_TOT=%d\n' % (self.banner.get_detail('run_card', 'nevents') /\
4294 self.shower_card['nsplit_jobs'])
4295 content += 'MCMODE=%s\n' % shower
4296 content += 'PDLABEL=%s\n' % pdlabel
4297 content += 'ALPHAEW=%s\n' % self.banner.get_detail('param_card', 'sminputs', 1).value
4298
4299
4300 content += 'TMASS=%s\n' % self.banner.get_detail('param_card', 'mass', 6).value
4301 content += 'TWIDTH=%s\n' % self.banner.get_detail('param_card', 'decay', 6).value
4302 content += 'ZMASS=%s\n' % self.banner.get_detail('param_card', 'mass', 23).value
4303 content += 'ZWIDTH=%s\n' % self.banner.get_detail('param_card', 'decay', 23).value
4304 content += 'WMASS=%s\n' % self.banner.get_detail('param_card', 'mass', 24).value
4305 content += 'WWIDTH=%s\n' % self.banner.get_detail('param_card', 'decay', 24).value
4306 try:
4307 content += 'HGGMASS=%s\n' % self.banner.get_detail('param_card', 'mass', 25).value
4308 content += 'HGGWIDTH=%s\n' % self.banner.get_detail('param_card', 'decay', 25).value
4309 except KeyError:
4310 content += 'HGGMASS=120.\n'
4311 content += 'HGGWIDTH=0.00575308848\n'
4312 content += 'beammom1=%s\n' % self.banner.get_detail('run_card', 'ebeam1')
4313 content += 'beammom2=%s\n' % self.banner.get_detail('run_card', 'ebeam2')
4314 content += 'BEAM1=%s\n' % self.banner.get_detail('run_card', 'lpp1')
4315 content += 'BEAM2=%s\n' % self.banner.get_detail('run_card', 'lpp2')
4316 content += 'DMASS=%s\n' % mcmass_dict[1]
4317 content += 'UMASS=%s\n' % mcmass_dict[2]
4318 content += 'SMASS=%s\n' % mcmass_dict[3]
4319 content += 'CMASS=%s\n' % mcmass_dict[4]
4320 content += 'BMASS=%s\n' % mcmass_dict[5]
4321 try:
4322 content += 'EMASS=%s\n' % mcmass_dict[11]
4323 content += 'MUMASS=%s\n' % mcmass_dict[13]
4324 content += 'TAUMASS=%s\n' % mcmass_dict[15]
4325 except KeyError:
4326
4327 mcmass_lines = [l for l in \
4328 open(pjoin(self.me_dir, 'SubProcesses', 'MCmasses_%s.inc' % shower.upper())
4329 ).read().split('\n') if l]
4330 new_mcmass_dict = {}
4331 for l in mcmass_lines:
4332 key, val = l.split('=')
4333 new_mcmass_dict[key.strip()] = val.replace('d', 'e').strip()
4334 content += 'EMASS=%s\n' % new_mcmass_dict['mcmass(11)']
4335 content += 'MUMASS=%s\n' % new_mcmass_dict['mcmass(13)']
4336 content += 'TAUMASS=%s\n' % new_mcmass_dict['mcmass(15)']
4337
4338 content += 'GMASS=%s\n' % mcmass_dict[21]
4339 content += 'EVENT_NORM=%s\n' % self.banner.get_detail('run_card', 'event_norm').lower()
4340
4341 if int(self.shower_card['pdfcode']) > 1 or \
4342 (pdlabel=='lhapdf' and int(self.shower_card['pdfcode'])==1) or \
4343 shower=='HERWIGPP' :
4344
4345
4346
4347
4348 self.link_lhapdf(pjoin(self.me_dir, 'lib'))
4349 lhapdfpath = subprocess.Popen([self.options['lhapdf'], '--prefix'],
4350 stdout = subprocess.PIPE).stdout.read().strip()
4351 content += 'LHAPDFPATH=%s\n' % lhapdfpath
4352 pdfsetsdir = self.get_lhapdf_pdfsetsdir()
4353 if self.shower_card['pdfcode']==0:
4354 lhaid_list = ''
4355 content += ''
4356 elif self.shower_card['pdfcode']==1:
4357 lhaid_list = [max([init_dict['pdfsup1'],init_dict['pdfsup2']])]
4358 content += 'PDFCODE=%s\n' % max([init_dict['pdfsup1'],init_dict['pdfsup2']])
4359 else:
4360 lhaid_list = [abs(int(self.shower_card['pdfcode']))]
4361 content += 'PDFCODE=%s\n' % self.shower_card['pdfcode']
4362 self.copy_lhapdf_set(lhaid_list, pdfsetsdir)
4363 elif int(self.shower_card['pdfcode'])==1 or \
4364 int(self.shower_card['pdfcode'])==-1 and True:
4365
4366
4367
4368
4369
4370
4371 try:
4372 lhapdfpath = subprocess.Popen([self.options['lhapdf'], '--prefix'],
4373 stdout = subprocess.PIPE).stdout.read().strip()
4374 self.link_lhapdf(pjoin(self.me_dir, 'lib'))
4375 content += 'LHAPDFPATH=%s\n' % lhapdfpath
4376 pdfsetsdir = self.get_lhapdf_pdfsetsdir()
4377 lhaid_list = [max([init_dict['pdfsup1'],init_dict['pdfsup2']])]
4378 content += 'PDFCODE=%s\n' % max([init_dict['pdfsup1'],init_dict['pdfsup2']])
4379 self.copy_lhapdf_set(lhaid_list, pdfsetsdir)
4380 except Exception:
4381 logger.warning('Trying to shower events using the same PDF in the shower as used in the generation'+\
4382 ' of the events using LHAPDF. However, no valid LHAPDF installation found with the'+\
4383 ' needed PDF set. Will use default internal PDF for the shower instead. To use the'+\
4384 ' same set as was used in the event generation install LHAPDF and set the path using'+\
4385 ' "set /path_to_lhapdf/bin/lhapdf-config" from the MadGraph5_aMC@NLO python shell')
4386 content += 'LHAPDFPATH=\n'
4387 content += 'PDFCODE=0\n'
4388 else:
4389 content += 'LHAPDFPATH=\n'
4390 content += 'PDFCODE=0\n'
4391
4392 content += 'ICKKW=%s\n' % self.banner.get_detail('run_card', 'ickkw')
4393 content += 'PTJCUT=%s\n' % self.banner.get_detail('run_card', 'ptj')
4394
4395 if self.options['pythia8_path']:
4396 content+='PY8PATH=%s\n' % self.options['pythia8_path']
4397 if self.options['hwpp_path']:
4398 content+='HWPPPATH=%s\n' % self.options['hwpp_path']
4399 if self.options['thepeg_path'] and self.options['thepeg_path'] != self.options['hwpp_path']:
4400 content+='THEPEGPATH=%s\n' % self.options['thepeg_path']
4401 if self.options['hepmc_path'] and self.options['hepmc_path'] != self.options['hwpp_path']:
4402 content+='HEPMCPATH=%s\n' % self.options['hepmc_path']
4403
4404 output = open(pjoin(self.me_dir, 'MCatNLO', 'banner.dat'), 'w')
4405 output.write(content)
4406 output.close()
4407 return shower
4408
4409
4411 """runs the reweight_xsec_events executables on each sub-event file generated
4412 to compute on the fly scale and/or PDF uncertainities"""
4413 logger.info(' Doing reweight')
4414
4415 nev_unw = pjoin(self.me_dir, 'SubProcesses', 'nevents_unweighted')
4416
4417 if only:
4418 if os.path.exists(nev_unw + '.orig'):
4419 files.cp(nev_unw + '.orig', nev_unw)
4420 else:
4421 raise aMCatNLOError('Cannot find event file information')
4422
4423
4424 file = open(nev_unw)
4425 lines = file.read().split('\n')
4426 file.close()
4427
4428 files.cp(nev_unw, nev_unw + '.orig')
4429
4430
4431 evt_files = [line.split()[0] for line in lines[:-1] if line.split()[1] != '0']
4432 evt_wghts = [float(line.split()[3]) for line in lines[:-1] if line.split()[1] != '0']
4433 if self.run_card['event_norm'].lower()=='bias' and self.run_card['nevents'] != 0:
4434 evt_wghts[:]=[1./float(self.run_card['nevents']) for wgt in evt_wghts]
4435
4436 job_dict = {}
4437 exe = 'reweight_xsec_events.local'
4438 for i, evt_file in enumerate(evt_files):
4439 path, evt = os.path.split(evt_file)
4440 files.ln(pjoin(self.me_dir, 'SubProcesses', exe), \
4441 pjoin(self.me_dir, 'SubProcesses', path))
4442 job_dict[path] = [exe]
4443
4444 self.run_all(job_dict, [[evt, '1']], 'Running reweight')
4445
4446
4447 for evt_file in evt_files:
4448 last_line = subprocess.Popen(['tail', '-n1', '%s.rwgt' % \
4449 pjoin(self.me_dir, 'SubProcesses', evt_file)], \
4450 stdout = subprocess.PIPE).stdout.read().strip()
4451 if last_line != "</LesHouchesEvents>":
4452 raise aMCatNLOError('An error occurred during reweight. Check the' + \
4453 '\'reweight_xsec_events.output\' files inside the ' + \
4454 '\'SubProcesses/P*/G*/ directories for details')
4455
4456
4457 newfile = open(nev_unw, 'w')
4458 for line in lines:
4459 if line:
4460 newfile.write(line.replace(line.split()[0], line.split()[0] + '.rwgt') + '\n')
4461 newfile.close()
4462
4463 return self.pdf_scale_from_reweighting(evt_files,evt_wghts)
4464
4466 """This function takes the files with the scale and pdf values
4467 written by the reweight_xsec_events.f code
4468 (P*/G*/pdf_scale_dependence.dat) and computes the overall
4469 scale and PDF uncertainty (the latter is computed using the
4470 Hessian method (if lhaid<90000) or Gaussian (if lhaid>90000))
4471 and returns it in percents. The expected format of the file
4472 is: n_scales xsec_scale_central xsec_scale1 ... n_pdf
4473 xsec_pdf0 xsec_pdf1 ...."""
4474
4475 scales=[]
4476 pdfs=[]
4477 for i,evt_file in enumerate(evt_files):
4478 path, evt=os.path.split(evt_file)
4479 with open(pjoin(self.me_dir, 'SubProcesses', path, 'scale_pdf_dependence.dat'),'r') as f:
4480 data_line=f.readline()
4481 if "scale variations:" in data_line:
4482 for j,scale in enumerate(self.run_card['dynamical_scale_choice']):
4483 data_line = f.readline().split()
4484 scales_this = [float(val)*evt_wghts[i] for val in f.readline().replace("D", "E").split()]
4485 try:
4486 scales[j] = [a + b for a, b in zip(scales[j], scales_this)]
4487 except IndexError:
4488 scales+=[scales_this]
4489 data_line=f.readline()
4490 if "pdf variations:" in data_line:
4491 for j,pdf in enumerate(self.run_card['lhaid']):
4492 data_line = f.readline().split()
4493 pdfs_this = [float(val)*evt_wghts[i] for val in f.readline().replace("D", "E").split()]
4494 try:
4495 pdfs[j] = [a + b for a, b in zip(pdfs[j], pdfs_this)]
4496 except IndexError:
4497 pdfs+=[pdfs_this]
4498
4499
4500 scale_info=[]
4501 for j,scale in enumerate(scales):
4502 s_cen=scale[0]
4503 if s_cen != 0.0 and self.run_card['reweight_scale'][j]:
4504
4505 s_max=(max(scale)/s_cen-1)*100
4506 s_min=(1-min(scale)/s_cen)*100
4507
4508 ren_var=[]
4509 fac_var=[]
4510 for i in range(len(self.run_card['rw_rscale'])):
4511 ren_var.append(scale[i]-s_cen)
4512 for i in range(len(self.run_card['rw_fscale'])):
4513 fac_var.append(scale[i*len(self.run_card['rw_rscale'])]-s_cen)
4514 s_max_q=((s_cen+math.sqrt(math.pow(max(ren_var),2)+math.pow(max(fac_var),2)))/s_cen-1)*100
4515 s_min_q=(1-(s_cen-math.sqrt(math.pow(min(ren_var),2)+math.pow(min(fac_var),2)))/s_cen)*100
4516 s_size=len(scale)
4517 else:
4518 s_max=0.0
4519 s_min=0.0
4520 s_max_q=0.0
4521 s_min_q=0.0
4522 s_size=len(scale)
4523 scale_info.append({'cen':s_cen, 'min':s_min, 'max':s_max, \
4524 'min_q':s_min_q, 'max_q':s_max_q, 'size':s_size, \
4525 'label':self.run_card['dynamical_scale_choice'][j], \
4526 'unc':self.run_card['reweight_scale'][j]})
4527
4528
4529 if any(self.run_card['reweight_pdf']):
4530 use_lhapdf=False
4531 lhapdf_libdir=subprocess.Popen([self.options['lhapdf'],'--libdir'],\
4532 stdout=subprocess.PIPE).stdout.read().strip()
4533
4534 try:
4535 candidates=[dirname for dirname in os.listdir(lhapdf_libdir) \
4536 if os.path.isdir(pjoin(lhapdf_libdir,dirname))]
4537 except OSError:
4538 candidates=[]
4539 for candidate in candidates:
4540 if os.path.isfile(pjoin(lhapdf_libdir,candidate,'site-packages','lhapdf.so')):
4541 sys.path.insert(0,pjoin(lhapdf_libdir,candidate,'site-packages'))
4542 try:
4543 import lhapdf
4544 use_lhapdf=True
4545 break
4546 except ImportError:
4547 sys.path.pop(0)
4548 continue
4549
4550 if not use_lhapdf:
4551 try:
4552 candidates=[dirname for dirname in os.listdir(lhapdf_libdir+'64') \
4553 if os.path.isdir(pjoin(lhapdf_libdir+'64',dirname))]
4554 except OSError:
4555 candidates=[]
4556 for candidate in candidates:
4557 if os.path.isfile(pjoin(lhapdf_libdir+'64',candidate,'site-packages','lhapdf.so')):
4558 sys.path.insert(0,pjoin(lhapdf_libdir+'64',candidate,'site-packages'))
4559 try:
4560 import lhapdf
4561 use_lhapdf=True
4562 break
4563 except ImportError:
4564 sys.path.pop(0)
4565 continue
4566
4567 if not use_lhapdf:
4568 try:
4569 import lhapdf
4570 use_lhapdf=True
4571 except ImportError:
4572 logger.warning("Failed to access python version of LHAPDF: "\
4573 "cannot compute PDF uncertainty from the "\
4574 "weights in the events. The weights in the LHE " \
4575 "event files will still cover all PDF set members, "\
4576 "but there will be no PDF uncertainty printed in the run summary. \n "\
4577 "If the python interface to LHAPDF is available on your system, try "\
4578 "adding its location to the PYTHONPATH environment variable and the"\
4579 "LHAPDF library location to LD_LIBRARY_PATH (linux) or DYLD_LIBRARY_PATH (mac os x).")
4580 use_lhapdf=False
4581
4582
4583 if any(self.run_card['reweight_pdf']) and use_lhapdf: lhapdf.setVerbosity(0)
4584
4585 pdf_info=[]
4586 for j,pdfset in enumerate(pdfs):
4587 p_cen=pdfset[0]
4588 if p_cen != 0.0 and self.run_card['reweight_pdf'][j]:
4589 if use_lhapdf:
4590 pdfsetname=self.run_card['lhapdfsetname'][j]
4591 try:
4592 p=lhapdf.getPDFSet(pdfsetname)
4593 ep=p.uncertainty(pdfset,-1)
4594 p_cen=ep.central
4595 p_min=abs(ep.errminus/p_cen)*100
4596 p_max=abs(ep.errplus/p_cen)*100
4597 p_type=p.errorType
4598 p_size=p.size
4599 p_conf=p.errorConfLevel
4600 except:
4601 logger.warning("Could not access LHAPDF to compute uncertainties for %s" % pdfsetname)
4602 p_min=0.0
4603 p_max=0.0
4604 p_type='unknown'
4605 p_conf='unknown'
4606 p_size=len(pdfset)
4607 else:
4608 p_min=0.0
4609 p_max=0.0
4610 p_type='unknown'
4611 p_conf='unknown'
4612 p_size=len(pdfset)
4613 pdfsetname=self.run_card['lhaid'][j]
4614 else:
4615 p_min=0.0
4616 p_max=0.0
4617 p_type='none'
4618 p_conf='unknown'
4619 p_size=len(pdfset)
4620 pdfsetname=self.run_card['lhaid'][j]
4621 pdf_info.append({'cen':p_cen, 'min':p_min, 'max':p_max, \
4622 'unc':p_type, 'name':pdfsetname, 'size':p_size, \
4623 'label':self.run_card['lhaid'][j], 'conf':p_conf})
4624
4625 scale_pdf_info=[scale_info,pdf_info]
4626 return scale_pdf_info
4627
4628
4640
4641 - def run_all(self, job_dict, arg_list, run_type='monitor', split_jobs = False):
4642 """runs the jobs in job_dict (organized as folder: [job_list]), with arguments args"""
4643 self.ijob = 0
4644 if run_type != 'shower':
4645 self.njobs = sum(len(jobs) for jobs in job_dict.values()) * len(arg_list)
4646 for args in arg_list:
4647 for Pdir, jobs in job_dict.items():
4648 for job in jobs:
4649 self.run_exe(job, args, run_type, cwd=pjoin(self.me_dir, 'SubProcesses', Pdir) )
4650 if self.cluster_mode == 2:
4651 time.sleep(1)
4652 else:
4653 self.njobs = len(arg_list)
4654 for args in arg_list:
4655 [(cwd, exe)] = job_dict.items()
4656 self.run_exe(exe, args, run_type, cwd)
4657
4658 self.wait_for_complete(run_type)
4659
4660
4661
4663 """check the integrity of the event files after splitting, and resubmit
4664 those which are not nicely terminated"""
4665 jobs_to_resubmit = []
4666 for job in jobs:
4667 last_line = ''
4668 try:
4669 last_line = subprocess.Popen(
4670 ['tail', '-n1', pjoin(job['dirname'], 'events.lhe')], \
4671 stdout = subprocess.PIPE).stdout.read().strip()
4672 except IOError:
4673 pass
4674 if last_line != "</LesHouchesEvents>":
4675 jobs_to_resubmit.append(job)
4676 self.njobs = 0
4677 if jobs_to_resubmit:
4678 run_type = 'Resubmitting broken jobs'
4679 logger.info('Some event files are broken, corresponding jobs will be resubmitted.')
4680 for job in jobs_to_resubmit:
4681 logger.debug('Resubmitting ' + job['dirname'] + '\n')
4682 self.run_all_jobs(jobs_to_resubmit,2,fixed_order=False)
4683
4684
4686 """looks into the nevents_unweighed_splitted file to check how many
4687 split jobs are needed for this (pdir, job). arg is F, B or V"""
4688
4689 splittings = []
4690 ajob = open(pjoin(self.me_dir, 'SubProcesses', pdir, job)).read()
4691 pattern = re.compile('for i in (\d+) ; do')
4692 match = re.search(pattern, ajob)
4693 channel = match.groups()[0]
4694
4695
4696 nevents_file = open(pjoin(self.me_dir, 'SubProcesses', 'nevents_unweighted_splitted')).read()
4697
4698
4699 pattern = re.compile(r"%s_(\d+)/events.lhe" % \
4700 pjoin(pdir, 'G%s%s' % (arg,channel)))
4701 matches = re.findall(pattern, nevents_file)
4702 for m in matches:
4703 splittings.append(m)
4704 return splittings
4705
4706
4707 - def run_exe(self, exe, args, run_type, cwd=None):
4708 """this basic function launch locally/on cluster exe with args as argument.
4709 """
4710
4711 execpath = None
4712 if cwd and os.path.exists(pjoin(cwd, exe)):
4713 execpath = pjoin(cwd, exe)
4714 elif not cwd and os.path.exists(exe):
4715 execpath = exe
4716 else:
4717 raise aMCatNLOError('Cannot find executable %s in %s' \
4718 % (exe, os.getcwd()))
4719
4720 if self.cluster_mode == 1 and not os.access(execpath, os.X_OK):
4721 subprocess.call(['chmod', '+x', exe], cwd=cwd)
4722
4723 if self.cluster_mode == 0:
4724
4725 misc.call(['./'+exe] + args, cwd=cwd)
4726 self.ijob += 1
4727 self.update_status((max([self.njobs - self.ijob - 1, 0]),
4728 min([1, self.njobs - self.ijob]),
4729 self.ijob, run_type), level='parton')
4730
4731
4732 elif 'reweight' in exe:
4733
4734
4735 input_files, output_files = [], []
4736 pdfinput = self.get_pdf_input_filename()
4737 if os.path.exists(pdfinput):
4738 input_files.append(pdfinput)
4739 input_files.append(pjoin(os.path.dirname(exe), os.path.pardir, 'reweight_xsec_events'))
4740 input_files.append(pjoin(cwd, os.path.pardir, 'leshouche_info.dat'))
4741 input_files.append(args[0])
4742 output_files.append('%s.rwgt' % os.path.basename(args[0]))
4743 output_files.append('reweight_xsec_events.output')
4744 output_files.append('scale_pdf_dependence.dat')
4745
4746 return self.cluster.submit2(exe, args, cwd=cwd,
4747 input_files=input_files, output_files=output_files,
4748 required_output=output_files)
4749
4750 elif 'ajob' in exe:
4751
4752
4753 if type(args[0]) == str:
4754 input_files, output_files, required_output, args = self.getIO_ajob(exe,cwd,args)
4755
4756 self.cluster.submit2(exe, args, cwd=cwd,
4757 input_files=input_files, output_files=output_files,
4758 required_output=required_output)
4759
4760
4761
4762
4763
4764
4765 elif 'shower' in exe:
4766
4767
4768
4769 input_files, output_files = [], []
4770 shower = args[0]
4771
4772 if shower == 'PYTHIA8':
4773 input_files.append(pjoin(cwd, 'Pythia8.exe'))
4774 input_files.append(pjoin(cwd, 'Pythia8.cmd'))
4775 if os.path.exists(pjoin(self.options['pythia8_path'], 'xmldoc')):
4776 input_files.append(pjoin(cwd, 'config.sh'))
4777 input_files.append(pjoin(self.options['pythia8_path'], 'xmldoc'))
4778 else:
4779 input_files.append(pjoin(self.options['pythia8_path'], 'share/Pythia8/xmldoc'))
4780 else:
4781 input_files.append(pjoin(cwd, 'MCATNLO_%s_EXE' % shower))
4782 input_files.append(pjoin(cwd, 'MCATNLO_%s_input' % shower))
4783 if shower == 'HERWIGPP':
4784 if os.path.exists(pjoin(self.options['hwpp_path'], 'bin', 'Herwig++')):
4785 input_files.append(pjoin(cwd, 'Herwig++'))
4786 if os.path.exists(pjoin(self.options['hwpp_path'], 'bin', 'Herwig')):
4787 input_files.append(pjoin(cwd, 'Herwig'))
4788 input_files.append(pjoin(cwd, 'HepMCFortran.so'))
4789 if len(args) == 3:
4790 if os.path.exists(pjoin(self.me_dir, 'Events', self.run_name, 'events.lhe.gz')):
4791 input_files.append(pjoin(self.me_dir, 'Events', self.run_name, 'events.lhe.gz'))
4792 elif os.path.exists(pjoin(self.me_dir, 'Events', self.run_name, 'events.lhe')):
4793 input_files.append(pjoin(self.me_dir, 'Events', self.run_name, 'events.lhe'))
4794 else:
4795 raise aMCatNLOError, 'Event file not present in %s' % \
4796 pjoin(self.me_dir, 'Events', self.run_name)
4797 else:
4798 input_files.append(pjoin(cwd, 'events_%s.lhe' % args[3]))
4799
4800 if len(args) == 3:
4801 output_files.append('mcatnlo_run.log')
4802 else:
4803 output_files.append('mcatnlo_run_%s.log' % args[3])
4804 if args[1] == 'HEP':
4805 if len(args) == 3:
4806 fname = 'events'
4807 else:
4808 fname = 'events_%s' % args[3]
4809 if shower in ['PYTHIA8', 'HERWIGPP']:
4810 output_files.append(fname + '.hepmc.gz')
4811 else:
4812 output_files.append(fname + '.hep.gz')
4813 elif args[1] == 'TOP' or args[1] == 'HWU':
4814 if len(args) == 3:
4815 fname = 'histfile'
4816 else:
4817 fname = 'histfile_%s' % args[3]
4818 output_files.append(fname + '.tar')
4819 else:
4820 raise aMCatNLOError, 'Not a valid output argument for shower job : %d' % args[1]
4821
4822 self.cluster.submit2(exe, args, cwd=cwd,
4823 input_files=input_files, output_files=output_files)
4824
4825 else:
4826 return self.cluster.submit(exe, args, cwd=cwd)
4827
4829
4830
4831
4832 output_files = []
4833 required_output = []
4834 input_files = [pjoin(self.me_dir, 'SubProcesses', 'randinit'),
4835 pjoin(cwd, 'symfact.dat'),
4836 pjoin(cwd, 'iproc.dat'),
4837 pjoin(cwd, 'initial_states_map.dat'),
4838 pjoin(cwd, 'configs_and_props_info.dat'),
4839 pjoin(cwd, 'leshouche_info.dat'),
4840 pjoin(cwd, 'FKS_params.dat')]
4841
4842
4843 if os.path.exists(pjoin(self.me_dir,'OLP_virtuals','gosam.rc')):
4844 input_files.append(pjoin(self.me_dir, 'Cards', 'param_card.dat'))
4845
4846 if os.path.exists(pjoin(cwd,'nevents.tar')):
4847 input_files.append(pjoin(cwd,'nevents.tar'))
4848
4849 if os.path.exists(pjoin(self.me_dir,'SubProcesses','OLE_order.olc')):
4850 input_files.append(pjoin(cwd, 'OLE_order.olc'))
4851
4852
4853 if os.path.exists(pjoin(cwd,'MadLoop5_resources.tar.gz')) and \
4854 cluster.need_transfer(self.options):
4855 input_files.append(pjoin(cwd, 'MadLoop5_resources.tar.gz'))
4856 elif os.path.exists(pjoin(cwd,'MadLoop5_resources')) and \
4857 cluster.need_transfer(self.options):
4858 tf=tarfile.open(pjoin(cwd,'MadLoop5_resources.tar.gz'),'w:gz',
4859 dereference=True)
4860 tf.add(pjoin(cwd,'MadLoop5_resources'),arcname='MadLoop5_resources')
4861 tf.close()
4862 input_files.append(pjoin(cwd, 'MadLoop5_resources.tar.gz'))
4863
4864 if args[1] == 'born' or args[1] == 'all':
4865
4866 input_files.append(pjoin(cwd, 'madevent_mintFO'))
4867 if args[2] == '0':
4868 current = '%s_G%s' % (args[1],args[0])
4869 else:
4870 current = '%s_G%s_%s' % (args[1],args[0],args[2])
4871 if os.path.exists(pjoin(cwd,current)):
4872 input_files.append(pjoin(cwd, current))
4873 output_files.append(current)
4874
4875 required_output.append('%s/results.dat' % current)
4876 required_output.append('%s/res_%s.dat' % (current,args[3]))
4877 required_output.append('%s/log_MINT%s.txt' % (current,args[3]))
4878 required_output.append('%s/mint_grids' % current)
4879 required_output.append('%s/grid.MC_integer' % current)
4880 if args[3] != '0':
4881 required_output.append('%s/scale_pdf_dependence.dat' % current)
4882
4883 elif args[1] == 'F' or args[1] == 'B':
4884
4885 input_files.append(pjoin(cwd, 'madevent_mintMC'))
4886
4887 if args[2] == '0':
4888 current = 'G%s%s' % (args[1],args[0])
4889 else:
4890 current = 'G%s%s_%s' % (args[1],args[0],args[2])
4891 if os.path.exists(pjoin(cwd,current)):
4892 input_files.append(pjoin(cwd, current))
4893 output_files.append(current)
4894 if args[2] > '0':
4895
4896 output_files.append('G%s%s_%s' % (args[1], args[0], args[2]))
4897 required_output.append('G%s%s_%s/log_MINT%s.txt' % (args[1],args[0],args[2],args[3]))
4898
4899 else:
4900 required_output.append('%s/log_MINT%s.txt' % (current,args[3]))
4901 if args[3] in ['0','1']:
4902 required_output.append('%s/results.dat' % current)
4903 if args[3] == '1':
4904 output_files.append('%s/results.dat' % current)
4905
4906 else:
4907 raise aMCatNLOError, 'not valid arguments: %s' %(', '.join(args))
4908
4909
4910 pdfinput = self.get_pdf_input_filename()
4911 if os.path.exists(pdfinput):
4912 input_files.append(pdfinput)
4913 return input_files, output_files, required_output, args
4914
4915
4916 - def compile(self, mode, options):
4917 """compiles aMC@NLO to compute either NLO or NLO matched to shower, as
4918 specified in mode"""
4919
4920 os.mkdir(pjoin(self.me_dir, 'Events', self.run_name))
4921
4922 self.banner.write(pjoin(self.me_dir, 'Events', self.run_name,
4923 '%s_%s_banner.txt' % (self.run_name, self.run_tag)))
4924
4925 self.get_characteristics(pjoin(self.me_dir,
4926 'SubProcesses', 'proc_characteristics'))
4927
4928
4929 amcatnlo_log = pjoin(self.me_dir, 'compile_amcatnlo.log')
4930 madloop_log = pjoin(self.me_dir, 'compile_madloop.log')
4931 reweight_log = pjoin(self.me_dir, 'compile_reweight.log')
4932 test_log = pjoin(self.me_dir, 'test.log')
4933
4934
4935 self.make_opts_var = {}
4936 if self.proc_characteristics['has_loops'] and \
4937 not os.path.exists(pjoin(self.me_dir,'OLP_virtuals')):
4938 self.make_opts_var['madloop'] = 'true'
4939
4940 self.update_status('Compiling the code', level=None, update_results=True)
4941
4942 libdir = pjoin(self.me_dir, 'lib')
4943 sourcedir = pjoin(self.me_dir, 'Source')
4944
4945
4946 files.rm([amcatnlo_log, madloop_log, reweight_log, test_log])
4947
4948 if '+' in mode:
4949 mode = mode.split('+')[0]
4950 if mode in ['NLO', 'LO']:
4951 exe = 'madevent_mintFO'
4952 tests = ['test_ME']
4953 self.analyse_card.write_card(pjoin(self.me_dir, 'SubProcesses', 'analyse_opts'))
4954 elif mode in ['aMC@NLO', 'aMC@LO','noshower','noshowerLO']:
4955 exe = 'madevent_mintMC'
4956 tests = ['test_ME', 'test_MC']
4957
4958 with open(pjoin(self.me_dir, 'SubProcesses', 'analyse_opts'),'w') as fsock:
4959 fsock.write('FO_ANALYSE=analysis_dummy.o dbook.o open_output_files_dummy.o HwU_dummy.o\n')
4960
4961
4962 p_dirs = [d for d in \
4963 open(pjoin(self.me_dir, 'SubProcesses', 'subproc.mg')).read().split('\n') if d]
4964
4965 self.do_treatcards('', amcatnlo=True, mode=mode)
4966
4967
4968 if all([os.path.exists(pjoin(self.me_dir, 'SubProcesses', p_dir, exe)) \
4969 for p_dir in p_dirs]) and options['nocompile']:
4970 return
4971
4972
4973 if os.path.exists(pjoin(libdir, 'PDFsets')):
4974 files.rm(pjoin(libdir, 'PDFsets'))
4975
4976
4977 if self.run_card['pdlabel'] == 'lhapdf' and \
4978 (self.banner.get_detail('run_card', 'lpp1') != 0 or \
4979 self.banner.get_detail('run_card', 'lpp2') != 0):
4980
4981 self.link_lhapdf(libdir, [pjoin('SubProcesses', p) for p in p_dirs])
4982 pdfsetsdir = self.get_lhapdf_pdfsetsdir()
4983 lhaid_list = self.run_card['lhaid']
4984 self.copy_lhapdf_set(lhaid_list, pdfsetsdir)
4985
4986 else:
4987 if self.run_card['lpp1'] == 1 == self.run_card['lpp2']:
4988 logger.info('Using built-in libraries for PDFs')
4989
4990 self.make_opts_var['lhapdf'] = ""
4991
4992
4993 if self.run_card['iappl'] != 0:
4994 self.make_opts_var['applgrid'] = 'True'
4995
4996 for code in ['applgrid','amcfast']:
4997 try:
4998 p = subprocess.Popen([self.options[code], '--version'], \
4999 stdout=subprocess.PIPE, stderr=subprocess.PIPE)
5000 except OSError:
5001 raise aMCatNLOError(('No valid %s installation found. \n' + \
5002 'Please set the path to %s-config by using \n' + \
5003 'MG5_aMC> set <absolute-path-to-%s>/bin/%s-config \n') % (code,code,code,code))
5004 else:
5005 output, _ = p.communicate()
5006 if code is 'applgrid' and output < '1.4.63':
5007 raise aMCatNLOError('Version of APPLgrid is too old. Use 1.4.69 or later.'\
5008 +' You are using %s',output)
5009 if code is 'amcfast' and output < '1.1.1':
5010 raise aMCatNLOError('Version of aMCfast is too old. Use 1.1.1 or later.'\
5011 +' You are using %s',output)
5012
5013
5014 appllibs=" APPLLIBS=$(shell %s --ldflags) $(shell %s --ldcflags) \n" \
5015 % (self.options['amcfast'],self.options['applgrid'])
5016 text=open(pjoin(self.me_dir,'Source','make_opts'),'r').readlines()
5017 text_out=[]
5018 for line in text:
5019 if line.strip().startswith('APPLLIBS=$'):
5020 line=appllibs
5021 text_out.append(line)
5022 with open(pjoin(self.me_dir,'Source','make_opts'),'w') as fsock:
5023 fsock.writelines(text_out)
5024 else:
5025 self.make_opts_var['applgrid'] = ""
5026
5027 if 'fastjet' in self.options.keys() and self.options['fastjet']:
5028 self.make_opts_var['fastjet_config'] = self.options['fastjet']
5029
5030
5031 self.update_make_opts()
5032
5033
5034 self.update_status('Compiling source...', level=None)
5035 misc.compile(['clean4pdf'], cwd = sourcedir)
5036 misc.compile(cwd = sourcedir)
5037 if os.path.exists(pjoin(libdir, 'libdhelas.a')) \
5038 and os.path.exists(pjoin(libdir, 'libgeneric.a')) \
5039 and os.path.exists(pjoin(libdir, 'libmodel.a')) \
5040 and os.path.exists(pjoin(libdir, 'libpdf.a')):
5041 logger.info(' ...done, continuing with P* directories')
5042 else:
5043 raise aMCatNLOError('Compilation failed')
5044
5045
5046 MCatNLO_libdir = pjoin(self.me_dir, 'MCatNLO', 'lib')
5047 if not os.path.exists(os.path.realpath(pjoin(MCatNLO_libdir, 'libstdhep.a'))) or \
5048 not os.path.exists(os.path.realpath(pjoin(MCatNLO_libdir, 'libFmcfio.a'))):
5049 if os.path.exists(pjoin(sourcedir,'StdHEP')):
5050 logger.info('Compiling StdHEP (can take a couple of minutes) ...')
5051 misc.compile(['StdHEP'], cwd = sourcedir)
5052 logger.info(' ...done.')
5053 else:
5054 raise aMCatNLOError('Could not compile StdHEP because its'+\
5055 ' source directory could not be found in the SOURCE folder.\n'+\
5056 " Check the MG5_aMC option 'output_dependencies.'")
5057
5058
5059 if not os.path.exists(os.path.realpath(pjoin(libdir, 'libcts.a'))) or \
5060 not os.path.exists(os.path.realpath(pjoin(libdir, 'mpmodule.mod'))):
5061 if os.path.exists(pjoin(sourcedir,'CutTools')):
5062 logger.info('Compiling CutTools (can take a couple of minutes) ...')
5063 misc.compile(['CutTools','-j1'], cwd = sourcedir, nb_core=1)
5064 logger.info(' ...done.')
5065 else:
5066 raise aMCatNLOError('Could not compile CutTools because its'+\
5067 ' source directory could not be found in the SOURCE folder.\n'+\
5068 " Check the MG5_aMC option 'output_dependencies.'")
5069 if not os.path.exists(os.path.realpath(pjoin(libdir, 'libcts.a'))) or \
5070 not os.path.exists(os.path.realpath(pjoin(libdir, 'mpmodule.mod'))):
5071 raise aMCatNLOError('CutTools compilation failed.')
5072
5073
5074
5075 compiler_log_path = pjoin(os.path.dirname((os.path.realpath(pjoin(
5076 libdir, 'libcts.a')))),'compiler_version.log')
5077 if os.path.exists(compiler_log_path):
5078 compiler_version_used = open(compiler_log_path,'r').read()
5079 if not str(misc.get_gfortran_version(misc.detect_current_compiler(\
5080 pjoin(sourcedir,'make_opts')))) in compiler_version_used:
5081 if os.path.exists(pjoin(sourcedir,'CutTools')):
5082 logger.info('CutTools was compiled with a different fortran'+\
5083 ' compiler. Re-compiling it now...')
5084 misc.compile(['cleanCT'], cwd = sourcedir)
5085 misc.compile(['CutTools','-j1'], cwd = sourcedir, nb_core=1)
5086 logger.info(' ...done.')
5087 else:
5088 raise aMCatNLOError("CutTools installation in %s"\
5089 %os.path.realpath(pjoin(libdir, 'libcts.a'))+\
5090 " seems to have been compiled with a different compiler than"+\
5091 " the one specified in MG5_aMC. Please recompile CutTools.")
5092
5093
5094 if not os.path.exists(os.path.realpath(pjoin(libdir, 'libiregi.a'))) \
5095 and os.path.exists(pjoin(sourcedir,'IREGI')):
5096 logger.info('Compiling IREGI (can take a couple of minutes) ...')
5097 misc.compile(['IREGI'], cwd = sourcedir)
5098 logger.info(' ...done.')
5099
5100 if os.path.exists(pjoin(libdir, 'libiregi.a')):
5101
5102
5103 compiler_log_path = pjoin(os.path.dirname((os.path.realpath(pjoin(
5104 libdir, 'libiregi.a')))),'compiler_version.log')
5105 if os.path.exists(compiler_log_path):
5106 compiler_version_used = open(compiler_log_path,'r').read()
5107 if not str(misc.get_gfortran_version(misc.detect_current_compiler(\
5108 pjoin(sourcedir,'make_opts')))) in compiler_version_used:
5109 if os.path.exists(pjoin(sourcedir,'IREGI')):
5110 logger.info('IREGI was compiled with a different fortran'+\
5111 ' compiler. Re-compiling it now...')
5112 misc.compile(['cleanIR'], cwd = sourcedir)
5113 misc.compile(['IREGI'], cwd = sourcedir)
5114 logger.info(' ...done.')
5115 else:
5116 raise aMCatNLOError("IREGI installation in %s"\
5117 %os.path.realpath(pjoin(libdir, 'libiregi.a'))+\
5118 " seems to have been compiled with a different compiler than"+\
5119 " the one specified in MG5_aMC. Please recompile IREGI.")
5120
5121
5122 if self.proc_characteristics['has_loops'] and \
5123 not os.path.exists(pjoin(self.me_dir,'OLP_virtuals')):
5124 if mode in ['NLO', 'aMC@NLO', 'noshower']:
5125 tests.append('check_poles')
5126
5127
5128 self.update_status('Compiling directories...', level=None)
5129
5130 for test in tests:
5131 self.write_test_input(test)
5132
5133 try:
5134 import multiprocessing
5135 if not self.nb_core:
5136 try:
5137 self.nb_core = int(self.options['nb_core'])
5138 except TypeError:
5139 self.nb_core = multiprocessing.cpu_count()
5140 except ImportError:
5141 self.nb_core = 1
5142
5143 compile_options = copy.copy(self.options)
5144 compile_options['nb_core'] = self.nb_core
5145 compile_cluster = cluster.MultiCore(**compile_options)
5146 logger.info('Compiling on %d cores' % self.nb_core)
5147
5148 update_status = lambda i, r, f: self.donothing(i,r,f)
5149 for p_dir in p_dirs:
5150 compile_cluster.submit(prog = compile_dir,
5151 argument = [self.me_dir, p_dir, mode, options,
5152 tests, exe, self.options['run_mode']])
5153 try:
5154 compile_cluster.wait(self.me_dir, update_status)
5155 except Exception, error:
5156 logger.warning("Fail to compile the Subprocesses")
5157 if __debug__:
5158 raise
5159 compile_cluster.remove()
5160 self.do_quit('')
5161
5162 logger.info('Checking test output:')
5163 for p_dir in p_dirs:
5164 logger.info(p_dir)
5165 for test in tests:
5166 logger.info(' Result for %s:' % test)
5167
5168 this_dir = pjoin(self.me_dir, 'SubProcesses', p_dir)
5169
5170 self.check_tests(test, this_dir)
5171
5172
5175
5176
5178 """just call the correct parser for the test log.
5179 Skip check_poles for LOonly folders"""
5180 if test in ['test_ME', 'test_MC']:
5181 return self.parse_test_mx_log(pjoin(dir, '%s.log' % test))
5182 elif test == 'check_poles' and not os.path.exists(pjoin(dir,'parton_lum_0.f')):
5183 return self.parse_check_poles_log(pjoin(dir, '%s.log' % test))
5184
5185
5187 """read and parse the test_ME/MC.log file"""
5188 content = open(log).read()
5189 if 'FAILED' in content:
5190 logger.info('Output of the failing test:\n'+content[:-1],'$MG:BOLD')
5191 raise aMCatNLOError('Some tests failed, run cannot continue.\n' + \
5192 'Please check that widths of final state particles (e.g. top) have been' + \
5193 ' set to 0 in the param_card.dat.')
5194 else:
5195 lines = [l for l in content.split('\n') if 'PASSED' in l]
5196 logger.info(' Passed.')
5197 logger.debug('\n'+'\n'.join(lines))
5198
5199
5201 """reads and parse the check_poles.log file"""
5202 content = open(log).read()
5203 npass = 0
5204 nfail = 0
5205 for line in content.split('\n'):
5206 if 'PASSED' in line:
5207 npass +=1
5208 tolerance = float(line.split()[1])
5209 if 'FAILED' in line:
5210 nfail +=1
5211 tolerance = float(line.split()[1])
5212
5213 if nfail + npass == 0:
5214 logger.warning('0 points have been tried')
5215 return
5216
5217 if float(nfail)/float(nfail+npass) > 0.1:
5218 raise aMCatNLOError('Poles do not cancel, run cannot continue')
5219 else:
5220 logger.info(' Poles successfully cancel for %d points over %d (tolerance=%2.1e)' \
5221 %(npass, nfail+npass, tolerance))
5222
5223
5245
5246
5247 action_switcher = AskRunNLO
5248
5250 """Ask the question when launching generate_events/multi_run"""
5251
5252 if 'parton' not in options:
5253 options['parton'] = False
5254 if 'reweightonly' not in options:
5255 options['reweightonly'] = False
5256
5257 if mode == 'auto':
5258 mode = None
5259 if not mode and (options['parton'] or options['reweightonly']):
5260 mode = 'noshower'
5261
5262 passing_cmd = []
5263 for key,value in switch.keys():
5264 passing_cmd.append('%s=%s' % (key,value))
5265
5266 if 'do_reweight' in options and options['do_reweight']:
5267 passing_cmd.append('reweight=ON')
5268 if 'do_madspin' in options and options['do_madspin']:
5269 passing_cmd.append('madspin=ON')
5270
5271 force = self.force
5272 if mode == 'onlyshower':
5273 passing_cmd.append('onlyshower')
5274 force = True
5275 elif mode:
5276 passing_cmd.append(mode)
5277
5278 switch, cmd_switch = self.ask('', '0', [], ask_class = self.action_switcher,
5279 mode=mode, force=force,
5280 first_cmd=passing_cmd,
5281 return_instance=True)
5282
5283 if 'mode' in switch:
5284 mode = switch['mode']
5285
5286
5287 if not mode or mode == 'auto':
5288 if switch['order'] == 'LO':
5289 if switch['runshower']:
5290 mode = 'aMC@LO'
5291 elif switch['fixed_order'] == 'ON':
5292 mode = 'LO'
5293 else:
5294 mode = 'noshowerLO'
5295 elif switch['order'] == 'NLO':
5296 if switch['runshower']:
5297 mode = 'aMC@NLO'
5298 elif switch['fixed_order'] == 'ON':
5299 mode = 'NLO'
5300 else:
5301 mode = 'noshower'
5302 logger.info('will run in mode: %s' % mode)
5303
5304 if mode == 'noshower':
5305 if switch['shower'] == 'OFF':
5306 logger.warning("""You have chosen not to run a parton shower.
5307 NLO events without showering are NOT physical.
5308 Please, shower the LesHouches events before using them for physics analyses.
5309 You have to choose NOW which parton-shower you WILL use and specify it in the run_card.""")
5310 else:
5311 logger.info("""Your Parton-shower choice is not available for running.
5312 The events will be generated for the associated Parton-Shower.
5313 Remember that NLO events without showering are NOT physical.""", '$MG:BOLD')
5314
5315
5316
5317 cards = ['param_card.dat', 'run_card.dat']
5318 ignore = []
5319 if mode in ['LO', 'NLO']:
5320 options['parton'] = True
5321 ignore = ['shower_card.dat', 'madspin_card.dat']
5322 cards.append('FO_analyse_card.dat')
5323 else:
5324 if switch['madspin'] != 'OFF':
5325 cards.append('madspin_card.dat')
5326 if switch['reweight'] != 'OFF':
5327 cards.append('reweight_card.dat')
5328 if switch['madanalysis'] in ['HADRON', 'ON']:
5329 cards.append('madanalysis5_hadron_card.dat')
5330 if 'aMC@' in mode:
5331 cards.append('shower_card.dat')
5332 if mode == 'onlyshower':
5333 cards = ['shower_card.dat']
5334 if options['reweightonly']:
5335 cards = ['run_card.dat']
5336
5337 self.keep_cards(cards, ignore)
5338
5339 if mode =='onlyshower':
5340 cards = ['shower_card.dat']
5341
5342
5343
5344 first_cmd = cmd_switch.get_cardcmd()
5345
5346 if not options['force'] and not self.force:
5347 self.ask_edit_cards(cards, plot=False, first_cmd=first_cmd)
5348
5349 self.banner = banner_mod.Banner()
5350
5351
5352 for card in cards:
5353 self.banner.add(pjoin(self.me_dir, 'Cards', card))
5354
5355 run_settings = '\n'.join(['%s = %s' % (k, v) for (k, v) in switch.items()])
5356 self.banner.add_text('run_settings', run_settings)
5357
5358 if not mode =='onlyshower':
5359 self.run_card = self.banner.charge_card('run_card')
5360 self.run_tag = self.run_card['run_tag']
5361
5362 if not hasattr(self, 'run_name') or not self.run_name:
5363 self.run_name = self.find_available_run_name(self.me_dir)
5364
5365 if self.run_name.startswith('run_'):
5366 if mode in ['LO','aMC@LO','noshowerLO']:
5367 self.run_name += '_LO'
5368 self.set_run_name(self.run_name, self.run_tag, 'parton')
5369 if self.run_card['ickkw'] == 3 and mode in ['LO', 'aMC@LO', 'noshowerLO']:
5370 raise self.InvalidCmd("""FxFx merging (ickkw=3) not allowed at LO""")
5371 elif self.run_card['ickkw'] == 3 and mode in ['aMC@NLO', 'noshower']:
5372 logger.warning("""You are running with FxFx merging enabled. To be able to merge
5373 samples of various multiplicities without double counting, you
5374 have to remove some events after showering 'by hand'. Please
5375 read http://amcatnlo.cern.ch/FxFx_merging.htm for more details.""")
5376 if self.run_card['parton_shower'].upper() == 'PYTHIA6Q':
5377 raise self.InvalidCmd("""FxFx merging does not work with Q-squared ordered showers.""")
5378 elif self.run_card['parton_shower'].upper() != 'HERWIG6' and self.run_card['parton_shower'].upper() != 'PYTHIA8':
5379 question="FxFx merging not tested for %s shower. Do you want to continue?\n" % self.run_card['parton_shower'] + \
5380 "Type \'n\' to stop or \'y\' to continue"
5381 answers = ['n','y']
5382 answer = self.ask(question, 'n', answers, alias=alias)
5383 if answer == 'n':
5384 error = '''Stop opertation'''
5385 self.ask_run_configuration(mode, options)
5386
5387 elif self.run_card['ickkw'] == -1 and mode in ['aMC@NLO', 'noshower']:
5388
5389 raise self.InvalidCmd("""NNLL+NLO jet veto runs (ickkw=-1) only possible for fNLO or LO.""")
5390 if 'aMC@' in mode or mode == 'onlyshower':
5391 self.shower_card = self.banner.charge_card('shower_card')
5392
5393 elif mode in ['LO', 'NLO']:
5394 analyse_card_path = pjoin(self.me_dir, 'Cards','FO_analyse_card.dat')
5395 self.analyse_card = self.banner.charge_card('FO_analyse_card')
5396
5397 return mode
5398
5404 """The command line processor of MadGraph"""
5405
5406 _compile_usage = "compile [MODE] [options]\n" + \
5407 "-- compiles aMC@NLO \n" + \
5408 " MODE can be either FO, for fixed-order computations, \n" + \
5409 " or MC for matching with parton-shower monte-carlos. \n" + \
5410 " (if omitted, it is set to MC)\n"
5411 _compile_parser = misc.OptionParser(usage=_compile_usage)
5412 _compile_parser.add_option("-f", "--force", default=False, action='store_true',
5413 help="Use the card present in the directory for the launch, without editing them")
5414
5415 _launch_usage = "launch [MODE] [options]\n" + \
5416 "-- execute aMC@NLO \n" + \
5417 " MODE can be either LO, NLO, aMC@NLO or aMC@LO (if omitted, it is asked in a separate question)\n" + \
5418 " If mode is set to LO/NLO, no event generation will be performed, but only the \n" + \
5419 " computation of the total cross section and the filling of parton-level histograms \n" + \
5420 " specified in the DIRPATH/SubProcesses/madfks_plot.f file.\n" + \
5421 " If mode is set to aMC@LO/aMC@NLO, after the cross-section computation, a .lhe \n" + \
5422 " event file is generated which will be showered with the MonteCarlo specified \n" + \
5423 " in the run_card.dat\n"
5424
5425 _launch_parser = misc.OptionParser(usage=_launch_usage)
5426 _launch_parser.add_option("-f", "--force", default=False, action='store_true',
5427 help="Use the card present in the directory for the launch, without editing them")
5428 _launch_parser.add_option("-c", "--cluster", default=False, action='store_true',
5429 help="Submit the jobs on the cluster")
5430 _launch_parser.add_option("-m", "--multicore", default=False, action='store_true',
5431 help="Submit the jobs on multicore mode")
5432 _launch_parser.add_option("-x", "--nocompile", default=False, action='store_true',
5433 help="Skip compilation. Ignored if no executable is found")
5434 _launch_parser.add_option("-r", "--reweightonly", default=False, action='store_true',
5435 help="Skip integration and event generation, just run reweight on the" + \
5436 " latest generated event files (see list in SubProcesses/nevents_unweighted)")
5437 _launch_parser.add_option("-p", "--parton", default=False, action='store_true',
5438 help="Stop the run after the parton level file generation (you need " + \
5439 "to shower the file in order to get physical results)")
5440 _launch_parser.add_option("-o", "--only_generation", default=False, action='store_true',
5441 help="Skip grid set up, just generate events starting from " + \
5442 "the last available results")
5443 _launch_parser.add_option("-n", "--name", default=False, dest='run_name',
5444 help="Provide a name to the run")
5445 _launch_parser.add_option("-a", "--appl_start_grid", default=False, dest='appl_start_grid',
5446 help="For use with APPLgrid only: start from existing grids")
5447 _launch_parser.add_option("-R", "--reweight", default=False, dest='do_reweight', action='store_true',
5448 help="Run the reweight module (reweighting by different model parameters)")
5449 _launch_parser.add_option("-M", "--madspin", default=False, dest='do_madspin', action='store_true',
5450 help="Run the madspin package")
5451
5452
5453
5454 _generate_events_usage = "generate_events [MODE] [options]\n" + \
5455 "-- execute aMC@NLO \n" + \
5456 " MODE can be either LO, NLO, aMC@NLO or aMC@LO (if omitted, it is asked in a separate question)\n" + \
5457 " If mode is set to LO/NLO, no event generation will be performed, but only the \n" + \
5458 " computation of the total cross section and the filling of parton-level histograms \n" + \
5459 " specified in the DIRPATH/SubProcesses/madfks_plot.f file.\n" + \
5460 " If mode is set to aMC@LO/aMC@NLO, after the cross-section computation, a .lhe \n" + \
5461 " event file is generated which will be showered with the MonteCarlo specified \n" + \
5462 " in the run_card.dat\n"
5463
5464 _generate_events_parser = misc.OptionParser(usage=_generate_events_usage)
5465 _generate_events_parser.add_option("-f", "--force", default=False, action='store_true',
5466 help="Use the card present in the directory for the generate_events, without editing them")
5467 _generate_events_parser.add_option("-c", "--cluster", default=False, action='store_true',
5468 help="Submit the jobs on the cluster")
5469 _generate_events_parser.add_option("-m", "--multicore", default=False, action='store_true',
5470 help="Submit the jobs on multicore mode")
5471 _generate_events_parser.add_option("-x", "--nocompile", default=False, action='store_true',
5472 help="Skip compilation. Ignored if no executable is found")
5473 _generate_events_parser.add_option("-r", "--reweightonly", default=False, action='store_true',
5474 help="Skip integration and event generation, just run reweight on the" + \
5475 " latest generated event files (see list in SubProcesses/nevents_unweighted)")
5476 _generate_events_parser.add_option("-p", "--parton", default=False, action='store_true',
5477 help="Stop the run after the parton level file generation (you need " + \
5478 "to shower the file in order to get physical results)")
5479 _generate_events_parser.add_option("-o", "--only_generation", default=False, action='store_true',
5480 help="Skip grid set up, just generate events starting from " + \
5481 "the last available results")
5482 _generate_events_parser.add_option("-n", "--name", default=False, dest='run_name',
5483 help="Provide a name to the run")
5484
5485
5486
5487 _calculate_xsect_usage = "calculate_xsect [ORDER] [options]\n" + \
5488 "-- calculate cross section up to ORDER.\n" + \
5489 " ORDER can be either LO or NLO (if omitted, it is set to NLO). \n"
5490
5491 _calculate_xsect_parser = misc.OptionParser(usage=_calculate_xsect_usage)
5492 _calculate_xsect_parser.add_option("-f", "--force", default=False, action='store_true',
5493 help="Use the card present in the directory for the launch, without editing them")
5494 _calculate_xsect_parser.add_option("-c", "--cluster", default=False, action='store_true',
5495 help="Submit the jobs on the cluster")
5496 _calculate_xsect_parser.add_option("-m", "--multicore", default=False, action='store_true',
5497 help="Submit the jobs on multicore mode")
5498 _calculate_xsect_parser.add_option("-x", "--nocompile", default=False, action='store_true',
5499 help="Skip compilation. Ignored if no executable is found")
5500 _calculate_xsect_parser.add_option("-n", "--name", default=False, dest='run_name',
5501 help="Provide a name to the run")
5502 _calculate_xsect_parser.add_option("-a", "--appl_start_grid", default=False, dest='appl_start_grid',
5503 help="For use with APPLgrid only: start from existing grids")
5504 _calculate_xsect_parser.add_option("-o", "--only_generation", default=False, action='store_true',
5505 help="Skip grid set up, just generate events starting from " + \
5506 "the last available results")
5507
5508 _shower_usage = 'shower run_name [options]\n' + \
5509 '-- do shower/hadronization on parton-level file generated for run run_name\n' + \
5510 ' all the information (e.g. number of events, MonteCarlo, ...\n' + \
5511 ' are directly read from the header of the event file\n'
5512 _shower_parser = misc.OptionParser(usage=_shower_usage)
5513 _shower_parser.add_option("-f", "--force", default=False, action='store_true',
5514 help="Use the shower_card present in the directory for the launch, without editing")
5515
5516 if '__main__' == __name__:
5517
5518
5519 import sys
5520 if not sys.version_info[0] == 2 or sys.version_info[1] < 6:
5521 sys.exit('MadGraph/MadEvent 5 works only with python 2.6 or later (but not python 3.X).\n'+\
5522 'Please upgrate your version of python.')
5523
5524 import os
5525 import optparse
5526
5527
5528 root_path = os.path.dirname(os.path.dirname(os.path.realpath( __file__ )))
5529 sys.path.insert(0, root_path)
5533 - def error(self, msg=''):
5535
5536 usage = "usage: %prog [options] [FILE] "
5537 parser = MyOptParser(usage=usage)
5538 parser.add_option("-l", "--logging", default='INFO',
5539 help="logging level (DEBUG|INFO|WARNING|ERROR|CRITICAL) [%default]")
5540 parser.add_option("","--web", action="store_true", default=False, dest='web', \
5541 help='force toce to be in secure mode')
5542 parser.add_option("","--debug", action="store_true", default=False, dest='debug', \
5543 help='force to launch debug mode')
5544 parser_error = ''
5545 done = False
5546
5547 for i in range(len(sys.argv)-1):
5548 try:
5549 (options, args) = parser.parse_args(sys.argv[1:len(sys.argv)-i])
5550 done = True
5551 except MyOptParser.InvalidOption, error:
5552 pass
5553 else:
5554 args += sys.argv[len(sys.argv)-i:]
5555 if not done:
5556
5557 try:
5558 (options, args) = parser.parse_args()
5559 except MyOptParser.InvalidOption, error:
5560 print error
5561 sys.exit(2)
5562
5563 if len(args) == 0:
5564 args = ''
5565
5566 import subprocess
5567 import logging
5568 import logging.config
5569
5570
5571 import internal.coloring_logging
5572 try:
5573 if __debug__ and options.logging == 'INFO':
5574 options.logging = 'DEBUG'
5575 if options.logging.isdigit():
5576 level = int(options.logging)
5577 else:
5578 level = eval('logging.' + options.logging)
5579 print os.path.join(root_path, 'internal', 'me5_logging.conf')
5580 logging.config.fileConfig(os.path.join(root_path, 'internal', 'me5_logging.conf'))
5581 logging.root.setLevel(level)
5582 logging.getLogger('madgraph').setLevel(level)
5583 except:
5584 raise
5585 pass
5586
5587
5588 try:
5589 if args:
5590
5591 if '--web' in args:
5592 i = args.index('--web')
5593 args.pop(i)
5594 cmd_line = aMCatNLOCmd(me_dir=os.path.dirname(root_path),force_run=True)
5595 else:
5596 cmd_line = aMCatNLOCmdShell(me_dir=os.path.dirname(root_path),force_run=True)
5597
5598 if not hasattr(cmd_line, 'do_%s' % args[0]):
5599 if parser_error:
5600 print parser_error
5601 print 'and %s can not be interpreted as a valid command.' % args[0]
5602 else:
5603 print 'ERROR: %s not a valid command. Please retry' % args[0]
5604 else:
5605 cmd_line.use_rawinput = False
5606 cmd_line.run_cmd(' '.join(args))
5607 cmd_line.run_cmd('quit')
5608
5609 except KeyboardInterrupt:
5610 print 'quit on KeyboardInterrupt'
5611 pass
5612