new-words

annotate new-words.py @ 52:abd4080ee583

find changesets by author, revision, files, or words in the commit message
logging (fixme: hardcoded log filename) + answers shorthand (you press key instead of fullanswer)
author Igor Chubin <igor@chub.in>
date Sun May 01 20:27:36 2011 +0200 (2011-05-01)
parents 4e931db74618
children f583256b7ab1
rev   line source
igor@37 1 #!/usr/bin/env python
igor@38 2 # -*- coding: utf-8 -*-
igor@37 3
igor@40 4 from __future__ import with_statement
igor@38 5 import codecs
igor@49 6 import difflib
igor@38 7 import logging
igor@38 8 import os
igor@37 9 import optparse
igor@38 10 import re
igor@38 11 import subprocess
igor@38 12 import sys
igor@38 13 import Stemmer
igor@42 14 try:
igor@42 15 import psyco
igor@42 16 psyco.full()
igor@42 17 except:
igor@42 18 pass
igor@38 19
igor@38 20 config = {
igor@38 21 'config_directory': os.environ['HOME'] + '/.new-words',
igor@38 22 'language': 'en',
igor@38 23 }
igor@38 24
igor@38 25 logging.basicConfig(filename='/tmp/new-words-py.log', level=logging.DEBUG)
igor@38 26
igor@38 27 class Normalizator:
igor@38 28 def __init__(self, language, linked_words={}):
igor@38 29 stemmer_algorithm = {
igor@38 30 'de' : 'german',
igor@38 31 'en' : 'english',
igor@51 32 'es' : 'spanish',
igor@38 33 'ru' : 'russian',
igor@51 34 'it' : 'italian',
igor@38 35 'uk' : 'ukrainian',
igor@38 36 }
igor@38 37 self.stemmer = Stemmer.Stemmer(stemmer_algorithm[language])
igor@38 38 self.linked_words = linked_words
igor@38 39
igor@38 40 def normalize(self, word):
igor@38 41 word_chain = []
igor@38 42 while word in self.linked_words and not word in word_chain:
igor@38 43 word_chain.append(word)
igor@38 44 word = self.linked_words[word]
igor@38 45 return self.stemmer.stemWord(word.lower())
igor@37 46
igor@47 47 def best_word_from_group(self, wordpairs_group):
igor@47 48 """Returns the word that is the most relevant to the wordpairs_group.
igor@47 49
igor@47 50 At the moment: returns the word with minimal length"""
igor@49 51
igor@49 52 def f(x, y):
igor@49 53 return difflib.SequenceMatcher(
igor@49 54 None,
igor@49 55 #(x[-2:] == 'en' and x[:-2].lower() or x.lower()),
igor@49 56 x.lower(),
igor@49 57 y.lower()).ratio()
igor@47 58
igor@47 59 minimal_length = min(len(pair[1]) for pair in wordpairs_group)
igor@49 60 best_match = list(x[1] for x in sorted(
igor@47 61 (x for x in wordpairs_group if len(x[1]) == minimal_length),
igor@47 62 key=lambda x:x[0],
igor@47 63 reverse=True))[0]
igor@47 64
igor@51 65 return best_match
igor@51 66
igor@49 67 suggestions = self.dictionary_suggestions(best_match)
igor@49 68 if len(suggestions) == 1:
igor@49 69 return best_match
igor@49 70
igor@49 71 verb = False
igor@49 72 corrected_best_match = best_match
igor@49 73 if best_match[-2:] == 'et':
igor@49 74 word = best_match[:-1]+"n"
igor@49 75 sugg = self.dictionary_suggestions(word)
igor@49 76 if len(sugg) == 1:
igor@49 77 return word
igor@49 78 suggestions += sugg
igor@49 79 corrected_best_match = word
igor@49 80 corrected_best_match = best_match[:-2]
igor@49 81 verb = True
igor@49 82
igor@49 83 if best_match[-1] == 't':
igor@49 84 word = best_match[:-1]+"en"
igor@49 85 sugg = self.dictionary_suggestions(word)
igor@49 86 if len(sugg) == 1:
igor@49 87 return word
igor@49 88 suggestions += sugg
igor@49 89 corrected_best_match = best_match[:-1]
igor@49 90 verb = True
igor@49 91
igor@49 92 if corrected_best_match[0].lower() == corrected_best_match[0]:
igor@49 93 suggestions = [ x for x in suggestions
igor@49 94 if x[0].lower() == x[0] ]
igor@49 95
igor@49 96 if suggestions == []:
igor@49 97 return best_match+"_"
igor@49 98 return best_match+" "+(" ".join(
igor@49 99 sorted(
igor@49 100 suggestions,
igor@49 101 key = lambda x: f(x, corrected_best_match),
igor@49 102 reverse = True
igor@49 103 )
igor@49 104 )
igor@49 105 )
igor@49 106
igor@49 107 def dictionary_suggestions(self, word):
igor@49 108 return [
igor@49 109 x.decode('utf-8').rstrip('\n')
igor@49 110 for x
igor@49 111 in subprocess.Popen(
igor@49 112 ["de-variants", word],
igor@49 113 stdout=subprocess.PIPE
igor@49 114 ).stdout.readlines() ]
igor@49 115
igor@49 116
igor@37 117 parser = optparse.OptionParser()
igor@37 118
igor@37 119 parser.add_option(
igor@37 120 "-a", "--no-marks",
igor@37 121 help="don't add marks (and don't save marks added by user)",
igor@37 122 action="store_true",
igor@37 123 dest="no_marks")
igor@37 124
igor@37 125 parser.add_option(
igor@37 126 "-c", "--compressed",
igor@37 127 help="show compressed wordlist: one word per group",
igor@37 128 action="store_true",
igor@37 129 dest="compressed")
igor@37 130
igor@37 131 parser.add_option(
igor@37 132 "-k", "--known-words",
igor@37 133 help="put higher words that are similar to the known words (only for English)",
igor@37 134 action="store_true",
igor@37 135 dest="compressed")
igor@37 136
igor@37 137 parser.add_option(
igor@37 138 "-l", "--language",
igor@37 139 help="specify language of text",
igor@37 140 action="store",
igor@37 141 dest="language")
igor@37 142
igor@37 143 parser.add_option(
igor@38 144 "-f", "--function",
igor@38 145 help="filter through subsystem [INTERNAL]",
igor@38 146 action="store",
igor@38 147 dest="function")
igor@38 148
igor@38 149 parser.add_option(
igor@37 150 "-m", "--merge-tag",
igor@37 151 help="merge words tagged with specified tag into the main vocabulary",
igor@37 152 action="store",
igor@37 153 dest="merge_tag")
igor@37 154
igor@37 155 parser.add_option(
igor@37 156 "-M", "--merge-tagged",
igor@37 157 help="merge words tagged with ANY tag into the main vocabulary",
igor@37 158 action="store_true",
igor@37 159 dest="merge_tagged")
igor@37 160
igor@37 161 parser.add_option(
igor@37 162 "-n", "--non-interactive",
igor@37 163 help="non-interactive mode (don't run vi)",
igor@37 164 action="store_true",
igor@37 165 dest="non_interactive")
igor@37 166
igor@37 167 parser.add_option(
igor@37 168 "-N", "--no-filter",
igor@37 169 help="switch off known words filtering",
igor@37 170 action="store_true",
igor@37 171 dest="no_filter")
igor@37 172
igor@37 173 parser.add_option(
igor@37 174 "-p", "--pages",
igor@37 175 help="work with specified pages only (pages = start-stop/total )",
igor@37 176 action="store",
igor@37 177 dest="pages")
igor@37 178
igor@37 179 parser.add_option(
igor@48 180 "-d", "--delete-tag",
igor@48 181 help="delete subvocabulary of specified tag",
igor@37 182 action="store",
igor@48 183 dest="delete_tag")
igor@37 184
igor@37 185 parser.add_option(
igor@37 186 "-s", "--text-stats",
igor@37 187 help="show the text statistics (percentage of known words and so on) and exit",
igor@37 188 action="store_true",
igor@37 189 dest="text_stats")
igor@37 190
igor@37 191 parser.add_option(
igor@37 192 "-S", "--voc-stats",
igor@37 193 help="show your vocabulary statistics (number of words and word groups)",
igor@37 194 action="store_true",
igor@37 195 dest="voc_stats")
igor@37 196
igor@37 197 parser.add_option(
igor@37 198 "-t", "--tag",
igor@37 199 help="tag known words with tag",
igor@37 200 action="store",
igor@37 201 dest="tag")
igor@37 202
igor@37 203 parser.add_option(
igor@37 204 "-T", "--show-tags",
igor@37 205 help="tag known words with tag",
igor@37 206 action="store_true",
igor@37 207 dest="show_tags")
igor@37 208
igor@37 209 parser.add_option(
igor@37 210 "-2", "--two-words",
igor@37 211 help="find 2 words' sequences",
igor@37 212 action="store_true",
igor@37 213 dest="two_words")
igor@37 214
igor@37 215 parser.add_option(
igor@37 216 "-3", "--three-words",
igor@37 217 help="find 3 words' sequences",
igor@37 218 action="store_true",
igor@37 219 dest="three_words")
igor@37 220
igor@38 221 def readlines_from_file(filename):
igor@38 222 res = []
igor@38 223 with codecs.open(filename, "r", "utf-8") as f:
igor@38 224 for line in f.readlines():
igor@38 225 res += [line]
igor@38 226 return res
igor@38 227
igor@38 228 def readlines_from_stdin():
igor@38 229 return codecs.getreader("utf-8")(sys.stdin).readlines()
igor@38 230
igor@38 231 def words_from_line(line):
igor@38 232 line = line.rstrip('\n')
igor@38 233 #return re.split('(?:\s|[*\r,.:#@()+=<>$;"?!|\[\]^%&~{}«»–])+', line)
igor@38 234 #return re.split('[^a-zA-ZäöëüßÄËÖÜß]+', line)
igor@44 235 return re.compile("(?!['_])(?:\W)+", flags=re.UNICODE).split(line)
igor@38 236
igor@44 237 def get_words(lines, group_by=[1]):
igor@38 238 """
igor@38 239 Returns hash of words in a file
igor@38 240 word => number
igor@38 241 """
igor@38 242 result = {}
igor@44 243 (a, b, c) = ("", "", "")
igor@38 244 for line in lines:
igor@38 245 words = words_from_line(line)
igor@38 246 for word in words:
igor@41 247 if re.match('[0-9]*$', word):
igor@41 248 continue
igor@38 249 result.setdefault(word, 0)
igor@38 250 result[word] += 1
igor@44 251 if 2 in group_by and a != "" and b != "":
igor@44 252 w = "%s_%s" % (a,b)
igor@44 253 result.setdefault(w, 0)
igor@44 254 result[w] += 1
igor@44 255 if 3 in group_by and not "" in [a,b,c]:
igor@44 256 w = "%s_%s_%s" % (a,b,c)
igor@44 257 result.setdefault(w, 0)
igor@44 258 result[w] += 1
igor@44 259 (a,b,c) = (b, c, word)
igor@44 260
igor@44 261 logging.debug(result)
igor@38 262 return result
igor@38 263
igor@38 264 def load_vocabulary():
igor@38 265 return get_words(readlines_from_file("%s/%s.txt"%(config['config_directory'], config['language'])))
igor@38 266
igor@38 267 def notes_filenames():
igor@38 268 return ["%s/notes-%s.txt"%(config['config_directory'], config['language'])]
igor@38 269
igor@38 270 def load_notes(files):
igor@38 271 notes = {}
igor@38 272 for filename in files:
igor@39 273 with codecs.open(filename, "r", "utf-8") as f:
igor@38 274 for line in f.readlines():
igor@38 275 (word, note) = re.split('\s+', line.rstrip('\n'), maxsplit=1)
igor@38 276 notes.setdefault(word, {})
igor@38 277 notes[word][filename] = note
igor@38 278 return notes
igor@38 279
igor@39 280 def add_notes(lines, notes):
igor@39 281 notes_filename = notes_filenames()[0]
igor@39 282 result = []
igor@39 283 for line in lines:
igor@39 284 if line.startswith('#'):
igor@39 285 result += [line]
igor@39 286 else:
igor@39 287 match_object = re.search('^\s*\S+\s*(\S+)', line)
igor@39 288 if match_object:
igor@39 289 word = match_object.group(1)
igor@39 290 if word in notes:
igor@39 291 if notes_filename in notes[word]:
igor@39 292 line = line.rstrip('\n')
igor@39 293 line = "%-30s %s\n" % (line, notes[word][notes_filename])
igor@39 294 result += [line]
igor@39 295 else:
igor@39 296 result += [line]
igor@39 297 else:
igor@39 298 result += [line]
igor@39 299 return result
igor@39 300
igor@39 301 def remove_notes(lines, notes_group):
igor@39 302 notes_filename = notes_filenames()[0]
igor@39 303 notes = {}
igor@39 304 for k in notes_group.keys():
igor@39 305 if notes_filename in notes_group[k]:
igor@39 306 notes[k] = notes_group[k][notes_filename]
igor@39 307
igor@39 308 result = []
igor@39 309 for line in lines:
igor@39 310 line = line.rstrip('\n')
igor@39 311 match_object = re.match('(\s+)(\S+)(\s+)(\S+)(\s+)(.*)', line)
igor@39 312 if match_object:
igor@39 313 result.append("".join([
igor@39 314 match_object.group(1),
igor@39 315 match_object.group(2),
igor@39 316 match_object.group(3),
igor@39 317 match_object.group(4),
igor@39 318 "\n"
igor@39 319 ]))
igor@39 320 notes[match_object.group(4)] = match_object.group(6)
igor@39 321 else:
igor@39 322 result.append(line+"\n")
igor@39 323
igor@39 324 save_notes(notes_filename, notes)
igor@39 325 return result
igor@39 326
igor@39 327 def save_notes(filename, notes):
igor@39 328 lines = []
igor@39 329 saved_words = []
igor@39 330 with codecs.open(filename, "r", "utf-8") as f:
igor@39 331 for line in f.readlines():
igor@39 332 (word, note) = re.split('\s+', line.rstrip('\n'), maxsplit=1)
igor@39 333 if word in notes:
igor@39 334 line = "%-29s %s\n" % (word, notes[word])
igor@39 335 saved_words.append(word)
igor@39 336 lines.append(line)
igor@39 337 for word in [x for x in notes.keys() if not x in saved_words]:
igor@39 338 line = "%-29s %s\n" % (word, notes[word])
igor@39 339 lines.append(line)
igor@39 340
igor@39 341 with codecs.open(filename, "w", "utf-8") as f:
igor@39 342 for line in lines:
igor@39 343 f.write(line)
igor@39 344
igor@39 345
igor@38 346 def substract_dictionary(dict1, dict2):
igor@38 347 """
igor@38 348 returns dict1 - dict2
igor@38 349 """
igor@38 350 result = {}
igor@38 351 for (k,v) in dict1.items():
igor@38 352 if not k in dict2:
igor@38 353 result[k] = v
igor@38 354 return result
igor@38 355
igor@38 356 def dump_words(words, filename):
igor@38 357 with codecs.open(filename, "w+", "utf-8") as f:
igor@38 358 for word in words.keys():
igor@38 359 f.write(("%s\n"%word)*words[word])
igor@38 360
igor@38 361 def error_message(text):
igor@38 362 print text
igor@38 363
igor@40 364 def find_wordgroups_weights(word_pairs, normalizator):
igor@38 365 weight = {}
igor@40 366 for (num, word) in word_pairs:
igor@38 367 normalized = normalizator.normalize(word)
igor@38 368 weight.setdefault(normalized, 0)
igor@40 369 weight[normalized] += num
igor@38 370 return weight
igor@38 371
igor@38 372 def find_linked_words(notes):
igor@38 373 linked_words = {}
igor@38 374 for word in notes.keys():
igor@38 375 for note in notes[word].values():
igor@38 376 if "@" in note:
igor@38 377 result = re.search(r'\@(\S*)', note)
igor@38 378 if result:
igor@38 379 main_word = result.group(1)
igor@38 380 if main_word:
igor@38 381 linked_words[word] = main_word
igor@38 382 return linked_words
igor@38 383
igor@40 384 def compare_word_pairs(pair1, pair2, wgw, normalizator, linked_words):
igor@40 385 (num1, word1) = pair1
igor@40 386 (num2, word2) = pair2
igor@38 387
igor@38 388 normalized_word1 = normalizator.normalize(word1)
igor@38 389 normalized_word2 = normalizator.normalize(word2)
igor@38 390
igor@38 391 cmp_res = cmp(wgw[normalized_word1], wgw[normalized_word2])
igor@38 392 if cmp_res != 0:
igor@38 393 return cmp_res
igor@38 394 else:
igor@38 395 cmp_res = cmp(normalized_word1, normalized_word2)
igor@38 396 if cmp_res != 0:
igor@38 397 return cmp_res
igor@38 398 else:
igor@38 399 return cmp(int(num1), int(num2))
igor@38 400
igor@47 401
igor@48 402 def print_words_sorted(
igor@48 403 word_pairs,
igor@48 404 stats,
igor@48 405 normalizator,
igor@48 406 print_stats=True,
igor@48 407 stats_only=False,
igor@48 408 compressed_wordlist=False,
igor@48 409 show_range=0,
igor@48 410 show_range_percentage=0,
igor@48 411 ):
igor@40 412 if stats_only:
igor@43 413 codecs.getwriter("utf-8")(sys.stdout).write(
igor@43 414 " ".join([
igor@43 415 "%-10s" % x for x in [
igor@43 416 "LANG",
igor@43 417 "KNOWN%",
igor@43 418 "UNKNOWN%",
igor@43 419 "KNOWN",
igor@43 420 "TOTAL",
igor@43 421 "WPS",
igor@43 422 "UWPS*10"
igor@43 423 ]]) + "\n")
igor@43 424 codecs.getwriter("utf-8")(sys.stdout).write(
igor@43 425 " ".join([
igor@43 426 "%(language)-10s",
igor@43 427 "%(percentage)-10.2f",
igor@43 428 "%(percentage_unknown)-10.2f",
igor@43 429 "%(total_known)-11d"
igor@43 430 "%(total)-11d"
igor@43 431 "%(wps)-11d"
igor@43 432 "%(uwps)-11d"
igor@43 433 ]) % stats + "\n")
igor@40 434 return
igor@38 435
igor@40 436 if print_stats:
igor@40 437 codecs.getwriter("utf-8")(sys.stdout).write(
igor@43 438 "# %(language)s, %(percentage)-7.2f, <%(total_known)s/%(total)s>, <%(groups)s/%(words)s>\n" % stats)
igor@38 439
igor@40 440 level_lines = range(int(float(stats['percentage']))/5*5+5,95,5)+range(90,102)
igor@40 441 known = int(stats['total_known'])
igor@40 442 total = int(stats['total'])
igor@40 443 current_level = 0
igor@47 444 old_normalized_word = None
igor@47 445 words_of_this_group = []
igor@48 446 printed_words = 0
igor@40 447 for word_pair in word_pairs:
igor@47 448
igor@47 449 normalized_word = normalizator.normalize(word_pair[1])
igor@47 450 if old_normalized_word and old_normalized_word != normalized_word:
igor@47 451 #codecs.getwriter("utf-8")(sys.stdout).write(
igor@47 452 # "### %s\n" % normalizator.best_word_from_group(words_of_this_group))
igor@47 453 if compressed_wordlist:
igor@49 454 compressed_word_pair = (
igor@49 455 sum(x[0] for x in words_of_this_group),
igor@49 456 normalizator.best_word_from_group(words_of_this_group)
igor@49 457 )
igor@47 458 codecs.getwriter("utf-8")(sys.stdout).write("%10s %s\n" % compressed_word_pair)
igor@48 459 printed_words += 1
igor@47 460 words_of_this_group = []
igor@47 461
igor@47 462 old_normalized_word = normalized_word
igor@47 463 words_of_this_group.append(word_pair)
igor@47 464
igor@47 465 if not compressed_wordlist:
igor@47 466 codecs.getwriter("utf-8")(sys.stdout).write("%10s %s\n" % word_pair)
igor@48 467 printed_words += 1
igor@47 468
igor@47 469
igor@40 470 known += word_pair[0]
igor@40 471 if 100.0*known/total >= level_lines[0]:
igor@40 472 current_level = level_lines[0]
igor@40 473 while 100.0*known/total > level_lines[0]:
igor@40 474 current_level = level_lines[0]
igor@40 475 level_lines = level_lines[1:]
igor@40 476 codecs.getwriter("utf-8")(sys.stdout).write("# %s\n" % current_level)
igor@38 477
igor@48 478 if show_range >0 and printed_words >= show_range:
igor@48 479 break
igor@48 480 if show_range_percentage >0 and 100.0*known/total >= show_range_percentage:
igor@48 481 break
igor@48 482
igor@39 483 def filter_add_notes(args):
igor@39 484 lines = readlines_from_file(args[0])
igor@39 485 notes = load_notes(notes_filenames())
igor@39 486 lines = add_notes(lines, notes)
igor@39 487 with codecs.open(args[0], "w", "utf-8") as f:
igor@39 488 for line in lines:
igor@39 489 f.write(line)
igor@39 490
igor@39 491 def filter_remove_notes(args):
igor@39 492 lines = readlines_from_file(args[0])
igor@39 493 notes = load_notes(notes_filenames())
igor@39 494 lines = remove_notes(lines, notes)
igor@39 495 with codecs.open(args[0], "w", "utf-8") as f:
igor@39 496 for line in lines:
igor@39 497 f.write(line)
igor@39 498
igor@40 499 def filter_get_words_group_words_add_stat(args):
igor@40 500 vocabulary = load_vocabulary()
igor@40 501 notes = load_notes(notes_filenames())
igor@40 502 lines = readlines_from_stdin()
igor@44 503 group_by = [1]
igor@48 504
igor@44 505 if 'GROUP_WORDS_BY_TWO' in os.environ and os.environ['GROUP_WORDS_BY_TWO'] == 'YES':
igor@44 506 group_by.append(2)
igor@44 507 if 'GROUP_WORDS_BY_THREE' in os.environ and os.environ['GROUP_WORDS_BY_THREE'] == 'YES':
igor@44 508 group_by.append(3)
igor@44 509 words = get_words(lines, group_by)
igor@43 510 stats_only = False
igor@43 511 if 'STAT_ONLY' in os.environ and os.environ['STAT_ONLY'] == 'YES':
igor@43 512 stats_only = True
igor@40 513
igor@47 514 compressed_wordlist = False
igor@47 515 if 'COMPRESSED_WORDLIST' in os.environ and os.environ['COMPRESSED_WORDLIST'] == 'YES':
igor@47 516 compressed_wordlist = True
igor@47 517
igor@48 518 show_range = os.environ.get('SHOW_RANGE', '')
igor@48 519 if show_range != '':
igor@48 520 show_range = int(show_range)
igor@48 521 else:
igor@48 522 show_range = 0
igor@48 523 show_range_percentage = os.environ.get('SHOW_RANGE_PERCENTAGE', '')
igor@48 524 if show_range_percentage != '':
igor@48 525 show_range_percentage = int(show_range_percentage)
igor@48 526 else:
igor@48 527 show_range_percentage = 0
igor@48 528
igor@44 529
igor@40 530 stats = {}
igor@40 531 stats['total'] = sum(words[x] for x in words.keys())
igor@45 532 if 'FILTER_WORDS' in os.environ and os.environ['FILTER_WORDS'] == 'YES':
igor@45 533 words = substract_dictionary(words, vocabulary)
igor@40 534
igor@40 535 stats['total_unknown'] = sum(words[x] for x in words.keys())
igor@40 536 stats['total_known'] = stats['total'] - stats['total_unknown']
igor@43 537 stats['percentage'] = 100.0*stats['total_known']/stats['total']
igor@43 538 stats['percentage_unknown'] = 100.0-100.0*stats['total_known']/stats['total']
igor@40 539 stats['groups'] = 0
igor@40 540 stats['words'] = len(words)
igor@43 541 stats['sentences'] = 0 #FIXME
igor@43 542 stats['wps'] = 0 #FIXME
igor@43 543 stats['uwps'] = 0 #FIXME
igor@40 544 stats['language'] = config['language']
igor@40 545
igor@40 546 linked_words = find_linked_words(notes)
igor@40 547 normalizator = Normalizator(config['language'], linked_words)
igor@40 548
igor@50 549 # filter words by allowed_words_filter
igor@50 550 if os.environ.get('ALLOWED_WORDS_FILENAME', ''):
igor@50 551 allowed_words_filename = os.environ.get('ALLOWED_WORDS_FILENAME', '')
igor@50 552 normalized_allowed_words = [
igor@50 553 normalizator.normalize(w.rstrip('\n'))
igor@50 554 for w in readlines_from_file(allowed_words_filename)
igor@50 555 ]
igor@50 556
igor@50 557 result = {}
igor@50 558 for w, wn in words.iteritems():
igor@50 559 if normalizator.normalize(w) in normalized_allowed_words:
igor@50 560 result[w] = wn
igor@50 561 words = result
igor@50 562
igor@44 563 words_with_freq = []
igor@40 564 for k in sorted(words.keys(), key=lambda k: words[k], reverse=True):
igor@44 565 words_with_freq.append((words[k], k))
igor@40 566
igor@44 567 wgw = find_wordgroups_weights(words_with_freq, normalizator)
igor@45 568 if 'WORDS_GROUPING' in os.environ and os.environ['WORDS_GROUPING'] == 'YES':
igor@45 569 words_with_freq = sorted(
igor@44 570 words_with_freq,
igor@40 571 cmp=lambda x,y:compare_word_pairs(x,y, wgw, normalizator, linked_words),
igor@40 572 reverse=True)
igor@40 573
igor@47 574 print_words_sorted(
igor@47 575 words_with_freq,
igor@47 576 stats,
igor@47 577 normalizator,
igor@47 578 stats_only=stats_only,
igor@48 579 compressed_wordlist=compressed_wordlist,
igor@48 580 show_range=show_range,
igor@48 581 show_range_percentage=show_range_percentage,
igor@47 582 )
igor@40 583
igor@37 584 (options, args) = parser.parse_args()
igor@38 585 if options.language:
igor@38 586 config['language'] = options.language
igor@37 587
igor@38 588 if options.function:
igor@38 589 function_names = {
igor@39 590 'add_notes' : filter_add_notes,
igor@39 591 'remove_notes': filter_remove_notes,
igor@40 592 'get_words_group_words_add_stat': filter_get_words_group_words_add_stat,
igor@38 593 }
igor@38 594 if options.function in function_names:
igor@38 595 function_names[options.function](args)
igor@38 596 else:
igor@38 597 error_message("Unkown function %s.\nAvailable functions:\n%s" % (
igor@38 598 options.function, "".join([" "+x for x in sorted(function_names.keys())])))
igor@38 599 sys.exit(1)
igor@37 600
igor@37 601
igor@37 602
igor@37 603
igor@38 604 #os.system("vim")
igor@37 605