/
sacrebleu.py
executable file
·577 lines (486 loc) · 27.8 KB
/
sacrebleu.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
#!/usr/bin/env python3
# Copyright 2017--2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file is distributed on
# an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
# express or implied. See the License for the specific language governing
# permissions and limitations under the License.
"""
SacreBLEU provides hassle-free computation of shareable, comparable, and reproducible BLEU scores.
Inspired by Rico Sennrich's `multi-bleu-detok.perl`, it produces the official WMT scores but works with plain text.
It also knows all the standard test sets and handles downloading, processing, and tokenization for you.
See the [README.md] file for more information.
"""
import io
import os
import sys
import logging
import pathlib
import argparse
from collections import defaultdict
# Allows calling the script as a standalone utility
# See: https://github.com/mjpost/sacrebleu/issues/86
if __package__ is None and __name__ == '__main__':
parent = pathlib.Path(__file__).absolute().parents[1]
sys.path.insert(0, str(parent))
__package__ = 'sacrebleu'
from .dataset import DATASETS
from .metrics import METRICS
from .utils import smart_open, filter_subset, get_langpairs_for_testset, get_available_testsets
from .utils import print_test_set, print_subset_results, get_reference_files, download_test_set
from .utils import args_to_dict, sanity_check_lengths, print_results_table, print_single_results
from .utils import get_available_testsets_for_langpair, Color
from . import __version__ as VERSION
sacrelogger = logging.getLogger('sacrebleu')
try:
# SIGPIPE is not available on Windows machines, throwing an exception.
from signal import SIGPIPE # type: ignore
# If SIGPIPE is available, change behaviour to default instead of ignore.
from signal import signal, SIG_DFL
signal(SIGPIPE, SIG_DFL)
except ImportError:
pass
def parse_args():
arg_parser = argparse.ArgumentParser(
description='sacreBLEU: Hassle-free computation of shareable BLEU scores.\n'
'Quick usage: score your detokenized output against WMT\'14 EN-DE:\n'
' cat output.detok.de | sacrebleu -t wmt14 -l en-de',
formatter_class=argparse.RawDescriptionHelpFormatter)
arg_parser.add_argument('--citation', '--cite', default=False, action='store_true',
help='Dump the bibtex citation and quit.')
arg_parser.add_argument('--list', default=False, action='store_true',
help='Print a list of all available test sets.')
arg_parser.add_argument('--test-set', '-t', type=str, default=None,
help='The test set to use (see also --list) or a comma-separated list of test sets to be concatenated.')
arg_parser.add_argument('--language-pair', '-l', dest='langpair', default=None,
help='Source-target language pair (2-char ISO639-1 codes).')
arg_parser.add_argument('--origlang', '-ol', dest='origlang', default=None,
help='Use a subset of sentences with a given original language (2-char ISO639-1 codes), "non-" prefix means negation.')
arg_parser.add_argument('--subset', dest='subset', default=None,
help='Use a subset of sentences whose document annotation matches a given regex (see SUBSETS in the source code).')
arg_parser.add_argument('--download', type=str, default=None,
help='Download a test set and quit.')
arg_parser.add_argument('--echo', nargs="+", type=str, default=None,
help='Output the source (src), reference (ref), or other available field (docid, ref:A, ref:1 for example) to STDOUT and quit. '
'You can get available fields with options `--list` and `-t`' 'For example: `sacrebleu -t wmt21 --list`. '
'If multiple fields are given, they are outputted with tsv format in the order they are given.'
'You can also use `--echo all` to output all available fields.')
# I/O related arguments
# Multiple input files can be provided for significance testing for example
arg_parser.add_argument('--input', '-i', type=str, nargs='*', default=None,
help='Read input from file(s) instead of STDIN.')
arg_parser.add_argument('refs', nargs='*', default=[],
help='Optional list of references. If given, it should preceed the -i/--input argument.')
arg_parser.add_argument('--num-refs', '-nr', type=int, default=1,
help='Split the reference stream on tabs, and expect this many references. (Default: %(default)s)')
arg_parser.add_argument('--encoding', '-e', type=str, default='utf-8',
help='Open text files with specified encoding (Default: %(default)s)')
# Metric selection
avail_metrics = [m.lower() for m in METRICS]
arg_parser.add_argument('--metrics', '-m', choices=avail_metrics, nargs='+', default=['bleu'],
help='Space-delimited list of metrics to compute (Default: bleu)')
arg_parser.add_argument('--sentence-level', '-sl', action='store_true', help='Compute metric for each sentence.')
# BLEU-related arguments
# since sacreBLEU had only support for BLEU initially, the argument names
# are not prefixed with 'bleu' as in chrF arguments for example.
# Let's do that manually here through dest= options, as otherwise
# things will get quite hard to maintain when other metrics are added.
bleu_args = arg_parser.add_argument_group('BLEU related arguments')
bleu_args.add_argument('--smooth-method', '-s', choices=METRICS['BLEU'].SMOOTH_DEFAULTS.keys(), default='exp',
dest='bleu_smooth_method',
help='Smoothing method: exponential decay, floor (increment zero counts), add-k (increment num/denom by k for n>1), or none. (Default: %(default)s)')
bleu_args.add_argument('--smooth-value', '-sv', type=float, default=None,
dest='bleu_smooth_value',
help='The smoothing value. Only valid for floor and add-k. '
f"(Defaults: floor: {METRICS['BLEU'].SMOOTH_DEFAULTS['floor']}, "
f"add-k: {METRICS['BLEU'].SMOOTH_DEFAULTS['add-k']})")
bleu_args.add_argument('--tokenize', '-tok', choices=METRICS['BLEU'].TOKENIZERS, default=None,
dest='bleu_tokenize',
help='Tokenization method to use for BLEU. If not provided, defaults to `zh` for Chinese, '
'`ja-mecab` for Japanese, `ko-mecab` for Korean and `13a` (mteval) otherwise.')
bleu_args.add_argument('--lowercase', '-lc', dest='bleu_lowercase', action='store_true', default=False,
help='If True, enables case-insensitivity. (Default: %(default)s)')
bleu_args.add_argument('--force', default=False, action='store_true',
dest='bleu_force', help='Insist that your tokenized input is actually detokenized.')
# ChrF-related arguments
chrf_args = arg_parser.add_argument_group('chrF related arguments')
chrf_args.add_argument('--chrf-char-order', '-cc', type=int, default=METRICS['CHRF'].CHAR_ORDER,
help='Character n-gram order. (Default: %(default)s)')
chrf_args.add_argument('--chrf-word-order', '-cw', type=int, default=METRICS['CHRF'].WORD_ORDER,
help='Word n-gram order (Default: %(default)s). If equals to 2, the metric is referred to as chrF++.')
chrf_args.add_argument('--chrf-beta', type=int, default=METRICS['CHRF'].BETA,
help='Determine the importance of recall w.r.t precision. (Default: %(default)s)')
chrf_args.add_argument('--chrf-whitespace', action='store_true', default=False,
help='Include whitespaces when extracting character n-grams. (Default: %(default)s)')
chrf_args.add_argument('--chrf-lowercase', action='store_true', default=False,
help='Enable case-insensitivity. (Default: %(default)s)')
chrf_args.add_argument('--chrf-eps-smoothing', action='store_true', default=False,
help='Enables epsilon smoothing similar to chrF++.py, NLTK and Moses; instead of effective order smoothing. (Default: %(default)s)')
# TER related arguments
ter_args = arg_parser.add_argument_group("TER related arguments (The defaults replicate TERCOM's behavior)")
ter_args.add_argument('--ter-case-sensitive', action='store_true',
help='Enables case sensitivity. (Default: %(default)s)')
ter_args.add_argument('--ter-asian-support', action='store_true',
help='Enables special treatment of Asian characters. (Default: %(default)s)')
ter_args.add_argument('--ter-no-punct', action='store_true',
help='Removes punctuation. (Default: %(default)s)')
ter_args.add_argument('--ter-normalized', action='store_true',
help='Applies basic normalization and tokenization. (Default: %(default)s)')
# Bootstrap resampling for confidence intervals
sign_args = arg_parser.add_argument_group('Confidence interval (CI) estimation for single-system evaluation')
sign_args.add_argument('--confidence', '-ci', action='store_true',
help='Report confidence interval using bootstrap resampling.')
sign_args.add_argument('--confidence-n', '-cin', type=int, default=1000,
help='Set the number of bootstrap resamples for CI estimation (Default: %(default)s).')
# Paired significance testing
pair_args = arg_parser.add_argument_group('Paired significance testing for multi-system evaluation')
pair_args_choice = pair_args.add_mutually_exclusive_group()
pair_args_choice.add_argument('--paired-ar', '-par', action='store_true',
help='Perform paired test using approximate randomization (AR). This option is '
'mutually exclusive with --paired-bs (Default: %(default)s).')
pair_args_choice.add_argument('--paired-bs', '-pbs', action='store_true',
help='Perform paired test using bootstrap resampling. This option is '
'mutually exclusive with --paired-ar (Default: %(default)s).')
pair_args.add_argument('--paired-ar-n', '-parn', type=int, default=10000,
help='Number of trials for approximate randomization test (Default: %(default)s).')
pair_args.add_argument('--paired-bs-n', '-pbsn', type=int, default=1000,
help='Number of bootstrap resamples for paired bootstrap resampling test (Default: %(default)s).')
pair_args.add_argument('--paired-jobs', '-j', type=int, default=1,
help='If 0, launches as many workers as the number of systems. If > 0, sets the number of workers manually. '
'This feature is currently not supported on Windows.')
# Reporting related arguments
report_args = arg_parser.add_argument_group('Reporting related arguments')
report_args.add_argument('--quiet', '-q', default=False, action='store_true',
help='Suppress verbose messages.')
report_args.add_argument('--short', '-sh', default=False, action='store_true',
help='Produce a shorter (less human readable) signature.')
report_args.add_argument('--score-only', '-b', default=False, action='store_true',
help='Print only the computed score.')
report_args.add_argument('--width', '-w', type=int, default=1,
help='Floating point width (Default: %(default)s).')
report_args.add_argument('--detail', '-d', default=False, action='store_true',
help='Print detailed information (split test sets based on origlang).')
report_args.add_argument('--no-color', '-nc', action='store_true',
help='Disable the occasional use of terminal colors.')
output_formats = ['json', 'text', 'latex']
report_args.add_argument('--format', '-f', default='json', choices=output_formats,
help='Set the output format. `latex` is only valid for multi-system mode whereas '
'`json` and `text` apply to single-system mode only. This flag is overridden if the '
'SACREBLEU_FORMAT environment variable is set to one of the valid choices (Default: %(default)s).')
arg_parser.add_argument('--version', '-V', action='version', version='%(prog)s {}'.format(VERSION))
args = arg_parser.parse_args()
# Override the format from the environment, if any
if 'SACREBLEU_FORMAT' in os.environ:
_new_value = os.environ['SACREBLEU_FORMAT'].lower()
if _new_value in output_formats:
args.format = _new_value
return args
def main():
args = parse_args()
# Is paired test requested?
paired_test_mode = args.paired_bs or args.paired_ar
# Explicitly set the encoding
sys.stdin = open(sys.stdin.fileno(), mode='r', encoding='utf-8', buffering=True, newline="\n")
sys.stdout = open(sys.stdout.fileno(), mode='w', encoding='utf-8', buffering=True)
if os.environ.get('NO_COLOR', False) or args.no_color:
Color.ENABLE_COLORS = False
else:
# These should come after all stdout manipulations otherwise cause
# issues esp. on Windows
import colorama
colorama.init()
if not args.quiet:
logging.basicConfig(level=logging.INFO, format='sacreBLEU: %(message)s')
if args.download:
download_test_set(args.download, args.langpair)
sys.exit(0)
if args.list:
if args.test_set:
langpairs = get_langpairs_for_testset(args.test_set)
for pair in langpairs:
fields = DATASETS[args.test_set].fieldnames(pair)
print(f'{pair}: {", ".join(fields)}')
else:
if args.langpair:
print(f'The available test sets for {args.langpair} are:')
testsets = get_available_testsets_for_langpair(args.langpair)
else:
print('The available test sets are:')
testsets = get_available_testsets()
for testset in sorted(testsets):
desc = DATASETS[testset].description.strip()
print(f'{testset:<30}: {desc}')
sys.exit(0)
if args.sentence_level and len(args.metrics) > 1:
sacrelogger.error('Only one metric can be used in sentence-level mode.')
sys.exit(1)
if args.citation:
if not args.test_set:
sacrelogger.error('I need a test set (-t).')
sys.exit(1)
for test_set in args.test_set.split(','):
if 'citation' not in DATASETS[test_set]:
sacrelogger.error(f'No citation found for {test_set}')
else:
print(DATASETS[test_set].citation)
sys.exit(0)
if args.num_refs != 1 and (args.test_set is not None or len(args.refs) > 1):
sacrelogger.error('The --num-refs argument allows you to provide any number of tab-delimited references in a single file.')
sacrelogger.error('You can only use it with externally provided references, however (i.e., not with `-t`),')
sacrelogger.error('and you cannot then provide multiple reference files.')
sys.exit(1)
if args.test_set is not None:
for test_set in args.test_set.split(','):
if test_set not in DATASETS:
sacrelogger.error(f'Unknown test set {test_set!r}')
sacrelogger.error('Please run with --list to see the available test sets.')
sys.exit(1)
if args.test_set is None:
if len(args.refs) == 0:
sacrelogger.error('If manual references given, make sure to provide them '
'before the -i/--input argument to avoid confusion.')
sacrelogger.error('Otherwise, I need a predefined test set (-t) from the following list:')
sacrelogger.error(get_available_testsets())
sys.exit(1)
elif len(args.refs) > 0:
sacrelogger.error('I need exactly one of (a) a predefined test set (-t) or (b) a list of references')
sys.exit(1)
elif args.langpair is None:
sacrelogger.error('I need a language pair (-l). Use --list to see available language pairs for this test set.')
sys.exit(1)
else:
for test_set in args.test_set.split(','):
langpairs = get_langpairs_for_testset(test_set)
if args.langpair not in langpairs:
sacrelogger.error(f'No such language pair {args.langpair!r}')
sacrelogger.error(f'Available language pairs for {test_set!r} are:')
for lp in langpairs:
sacrelogger.error(f' > {lp}')
sys.exit(1)
if args.echo:
if args.langpair is None or args.test_set is None:
sacrelogger.warning("--echo requires a test set (--t) and a language pair (-l)")
sys.exit(1)
for test_set in args.test_set.split(','):
print_test_set(test_set, args.langpair, args.echo, args.origlang, args.subset)
sys.exit(0)
# Hack: inject target language info for BLEU, so that it can
# select the tokenizer based on it
if args.langpair:
args.bleu_trg_lang = args.langpair.split('-')[1]
if args.test_set is not None and args.bleu_tokenize == 'none':
sacrelogger.warning(
"You are turning off BLEU's internal tokenizer "
"presumably to supply your own tokenized files.")
sacrelogger.warning(
"Published numbers will not be comparable to other papers.")
# concat_ref_files is a list of list of reference filenames
# (concatenation happens if multiple test sets are given through -t)
# Example: [[testset1_refA, testset1_refB], [testset2_refA, testset2_refB]]
concat_ref_files = []
if args.test_set is None:
concat_ref_files.append(args.refs)
else:
# Multiple test sets can be given
for test_set in args.test_set.split(','):
ref_files = get_reference_files(test_set, args.langpair)
if len(ref_files) == 0:
sacrelogger.warning(
f'No references found for test set {test_set}/{args.langpair}.')
concat_ref_files.append(ref_files)
#################
# Read references
#################
full_refs = [[] for x in range(max(len(concat_ref_files[0]), args.num_refs))]
for ref_files in concat_ref_files:
for refno, ref_file in enumerate(ref_files):
for lineno, line in enumerate(smart_open(ref_file, encoding=args.encoding), 1):
line = line.rstrip()
if args.num_refs == 1:
full_refs[refno].append(line)
else:
refs = line.split(sep='\t', maxsplit=args.num_refs - 1)
# We are strict in fixed number of references through CLI
# But the API supports having variable refs per each segment
# by simply having '' or None's as dummy placeholders
if len(refs) != args.num_refs:
sacrelogger.error(f'FATAL: line {lineno}: expected {args.num_refs} fields, but found {len(refs)}.')
sys.exit(17)
for refno, ref in enumerate(refs):
full_refs[refno].append(ref)
# Decide on the number of final references, override the argument
args.num_refs = len(full_refs)
# Read hypotheses
# Can't tokenize yet as each metric has its own way of tokenizing things
full_systems, sys_names = [], []
if args.input is None:
# Read from STDIN
inputfh = io.TextIOWrapper(sys.stdin.buffer, encoding=args.encoding)
# guess the number of systems by looking at the first line
fields = inputfh.readline().rstrip().split('\t')
# Set number of systems
num_sys = len(fields)
# place the first lines already
full_systems = [[s] for s in fields]
# Enumerate the systems
sys_names = [f'System {i + 1}' for i in range(num_sys)]
# Read the rest
for line in inputfh:
fields = line.rstrip().split('\t')
if len(fields) != num_sys:
sacrelogger.error('FATAL: the number of tab-delimited fields in the input stream differ across lines.')
sys.exit(17)
# Place systems into the list
for sys_idx, sent in enumerate(fields):
full_systems[sys_idx].append(sent.rstrip())
else:
# Separate files are given for each system output
# Ex: --input smt.txt nmt.txt
for fname in args.input:
sys_name = fname
if sys_name in sys_names:
if paired_test_mode and sys_name == sys_names[0]:
# We skip loading a system, if it was already the baseline
sacrelogger.info(f'Ignoring {sys_name!r} as it was also given as the baseline.')
continue
else:
# To avoid ambiguities, we fail if two systems have same names
sacrelogger.error(f"{sys_name!r} already used to name a system.")
sacrelogger.error("Make sure to have a different basename for each system.")
sys.exit(1)
# Read the system
lines = []
for line in smart_open(fname, encoding=args.encoding):
lines.append(line.rstrip())
full_systems.append(lines)
sys_names.append(sys_name)
# Set final number of systems
num_sys = len(sys_names)
# Add baseline prefix to the first system for clarity
if paired_test_mode:
if args.input is None:
# STDIN mode, no explicit system names
sys_names = ['Baseline'] + [f'System {i + 1}' for i in range(num_sys - 1)]
else:
# --input mode, we have names for the systems, just change the 1st one
sys_names[0] = f'Baseline: {sys_names[0]}'
if args.sentence_level:
if num_sys > 1:
sacrelogger.error('Only one system can be evaluated in sentence-level mode.')
sys.exit(1)
if args.confidence or paired_test_mode:
sacrelogger.error('Statistical tests are unavailable in sentence-level mode.')
sys.exit(1)
# >=2.0.0: effective_order is now part of BLEU class. For sentence-BLEU
# we now need to explicitly enable it without user's intervention
# for backward compatibility.
args.bleu_effective_order = True
if paired_test_mode and num_sys == 1:
sacrelogger.error('Paired tests require multiple input systems given to --input (-i).')
sys.exit(1)
if num_sys > 1 and args.confidence:
sacrelogger.error('Use paired tests (--paired) for multiple systems.')
sys.exit(1)
# Filter subsets if requested
outputs = filter_subset(
[*full_systems, *full_refs], args.test_set, args.langpair,
args.origlang, args.subset)
# Unpack systems & references back
systems, refs = outputs[:num_sys], outputs[num_sys:]
# Perform some sanity checks
for system in systems:
if len(system) == 0:
message = f'Test set {args.test_set!r} contains no sentence'
if args.origlang is not None or args.subset is not None:
message += ' with'
if args.origlang:
message += f' origlang={args.origlang}'
if args.subset:
message += f' subset={args.subset}' + args.subset
sacrelogger.error(message)
sys.exit(1)
# Check lengths
sanity_check_lengths(system, refs, test_set=args.test_set)
# Create the metrics
metrics = {}
for name in args.metrics:
# Each metric's specific arguments are prefixed with `metricname_`
# for grouping. Filter accordingly and strip the prefixes prior to
# metric object construction.
metric_args = args_to_dict(args, name.lower(), strip_prefix=True)
# This will cache reference stats for faster re-computation if required
metric_args['references'] = refs
# Make it uppercase for the rest of the code
name = name.upper()
metrics[name] = METRICS[name](**metric_args)
# Handle sentence level and quit
if args.sentence_level:
# one metric and one system in use for sentence-level
metric, system = list(metrics.values())[0], systems[0]
for hypothesis, *references in zip(system, *refs):
score = metric.sentence_score(hypothesis, references)
sig = metric.get_signature().format(args.short)
print(score.format(args.width, args.score_only, sig))
sys.exit(0)
if args.detail and args.format == 'json':
# The translationese info will interfere with JSON output, disable
args.format = 'text'
##############################
# Corpus level evaluation mode
##############################
if num_sys == 1:
# Single system evaluation mode
results = []
for name in sorted(metrics):
# compute the score
score = metrics[name].corpus_score(
system, references=None,
n_bootstrap=args.confidence_n if args.confidence else 1)
# get the signature
sig = metrics[name].get_signature().format(
args.short if args.format != 'json' else False)
results.append(
score.format(args.width, args.score_only, sig, args.format == 'json'))
print_single_results(results, args)
# Prints detailed information for translationese effect experiments
if args.detail:
print_subset_results(metrics, full_systems[0], full_refs, args)
else:
# Multi-system evaluation mode
named_systems = [(sys_names[i], systems[i]) for i in range(num_sys)]
sacrelogger.info(f'Found {num_sys} systems.')
if not paired_test_mode:
# Bootstrap resampling or the usual single score computation mode
sigs = {}
scores = defaultdict(list)
scores['System'] = sys_names
for sys_name, system in named_systems:
for name in sorted(metrics):
score = metrics[name].corpus_score(system, references=None)
sigs[score.name] = metrics[name].get_signature().format(args.short)
scores[score.name].append(score.format(args.width, True))
else:
# Paired significance testing mode
from .significance import PairedTest
# Set params
test_type = 'bs' if args.paired_bs else 'ar'
n_samples = args.paired_bs_n if args.paired_bs else args.paired_ar_n
ps = PairedTest(named_systems, metrics, references=None,
test_type=test_type, n_samples=n_samples,
n_jobs=args.paired_jobs)
# Set back the number of trials
args.paired_n = ps.n_samples
# Run the test
sigs, scores = ps()
# Get signature strings
sigs = {k: v.format(args.short) for k, v in sigs.items()}
# Dump the results
print_results_table(scores, sigs, args)
if __name__ == '__main__':
main()