@@ 357-411 (lines=55) @@ | ||
354 | return parser |
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355 | ||
356 | # main |
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357 | if __name__ == '__main__': |
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358 | parser = get_parser() |
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359 | args = parser.parse_args() |
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360 | if not args.debug: |
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361 | ic.disable() |
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362 | ||
363 | target = RNAmodel(args.target) |
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364 | ||
365 | # a trick to get files be default if there is only a path (so a string ;-)) |
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366 | if not isinstance(args.files, str): |
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367 | models = args.files |
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368 | else: |
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369 | import glob |
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370 | models = glob.glob(args.files) # opts.input_dir |
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371 | ||
372 | ## tmp = [] |
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373 | ## if args.ignore_files: |
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374 | ## for f in args.files: |
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375 | ## if args.debug: print(f) |
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376 | ## if args.ignore_files in f: |
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377 | ## continue |
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378 | ## tmp.append(f) |
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379 | ## models = tmp |
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380 | ||
381 | print('# of models:', len(models)) |
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382 | ||
383 | c = 1 |
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384 | t = 'fn,' + args.column_name + '\n' # ,aligned_seq, aligned_fn\n' |
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385 | for m in models: |
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386 | mrna = RNAmodel(m) |
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387 | #print r1.fn, r2.fn, r1.get_rmsd_to(r2)#, 'tmp.pdb') |
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388 | # print(m) |
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389 | rmsd = target.get_rmsd_to(mrna, args.way, args.triple_mode, args.save, args.tseq) #, 'tmp.pdb') |
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390 | #except: |
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391 | if 0: |
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392 | print(m) |
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393 | sys.exit(1) |
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394 | #print rmsd |
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395 | t += mrna.fn + ',' + str(rmsd) + '\n' |
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396 | #break |
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397 | ||
398 | print(t.strip()) |
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399 | ||
400 | if args.result: |
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401 | with open(args.result, 'w') as f: |
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402 | f.write(t) |
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403 | ||
404 | if args.sort: |
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405 | import pandas as pd |
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406 | df = pd.read_csv(args.result) |
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407 | df = df[df.rmsd != -1] |
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408 | df = df.sort_values('rmsd') |
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409 | df.to_csv(args.result, index=False) |
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410 | print('saved: %s' % args.result) |
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411 | print(df.to_string(index=False)) |
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412 |
@@ 299-353 (lines=55) @@ | ||
296 | return parser |
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297 | ||
298 | # main |
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299 | if __name__ == '__main__': |
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300 | parser = get_parser() |
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301 | args = parser.parse_args() |
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302 | if not args.debug: |
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303 | ic.disable() |
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304 | ||
305 | target = RNAmodel(args.target) |
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306 | ||
307 | # a trick to get files be default if there is only a path (so a string ;-)) |
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308 | if not isinstance(args.files, str): |
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309 | models = args.files |
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310 | else: |
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311 | import glob |
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312 | models = glob.glob(args.files) # opts.input_dir |
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313 | ||
314 | ## tmp = [] |
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315 | ## if args.ignore_files: |
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316 | ## for f in args.files: |
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317 | ## if args.debug: print(f) |
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318 | ## if args.ignore_files in f: |
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319 | ## continue |
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320 | ## tmp.append(f) |
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321 | ## models = tmp |
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322 | ||
323 | print('# of models:', len(models)) |
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324 | ||
325 | c = 1 |
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326 | t = 'fn,' + args.column_name + '\n' # ,aligned_seq, aligned_fn\n' |
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327 | for m in models: |
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328 | mrna = RNAmodel(m) |
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329 | #print r1.fn, r2.fn, r1.get_rmsd_to(r2)#, 'tmp.pdb') |
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330 | # print(m) |
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331 | rmsd = target.get_rmsd_to(mrna, args.way, args.triple_mode, args.save, args.tseq) #, 'tmp.pdb') |
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332 | #except: |
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333 | if 0: |
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334 | print(m) |
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335 | sys.exit(1) |
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336 | #print rmsd |
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337 | t += mrna.fn + ',' + str(rmsd) + '\n' |
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338 | #break |
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339 | ||
340 | if args.show: |
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341 | print(t.strip()) # all the data |
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342 | ||
343 | if args.result: |
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344 | with open(args.result, 'w') as f: |
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345 | f.write(t) |
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346 | ||
347 | if args.sort: |
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348 | import pandas as pd |
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349 | df = pd.read_csv(args.result) |
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350 | df = df[df.rmsd != -1] |
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351 | df = df.sort_values('rmsd') |
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352 | df.to_csv(args.result, index=False) |
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353 | print('saved: %s' % args.result) |
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354 | # print(df.to_string(index=False)) |
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355 |