browser/components/translation/cld2/internal/compact_lang_det_impl.cc

Wed, 31 Dec 2014 06:09:35 +0100

author
Michael Schloh von Bennewitz <michael@schloh.com>
date
Wed, 31 Dec 2014 06:09:35 +0100
changeset 0
6474c204b198
permissions
-rw-r--r--

Cloned upstream origin tor-browser at tor-browser-31.3.0esr-4.5-1-build1
revision ID fc1c9ff7c1b2defdbc039f12214767608f46423f for hacking purpose.

     1 // Copyright 2013 Google Inc. All Rights Reserved.
     2 //
     3 // Licensed under the Apache License, Version 2.0 (the "License");
     4 // you may not use this file except in compliance with the License.
     5 // You may obtain a copy of the License at
     6 //
     7 //     http://www.apache.org/licenses/LICENSE-2.0
     8 //
     9 // Unless required by applicable law or agreed to in writing, software
    10 // distributed under the License is distributed on an "AS IS" BASIS,
    11 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    12 // See the License for the specific language governing permissions and
    13 // limitations under the License.
    15 //
    16 // Author: dsites@google.com (Dick Sites)
    17 // Updated 2014.01 for dual table lookup
    18 //
    20 #include <stdio.h>
    21 #include <string.h>
    22 #include <string>
    23 #include <vector>
    25 #include "cldutil.h"
    26 #include "debug.h"
    27 #include "integral_types.h"
    28 #include "lang_script.h"
    29 #include "utf8statetable.h"
    31 #ifdef CLD2_DYNAMIC_MODE
    32 #include "cld2_dynamic_data.h"
    33 #include "cld2_dynamic_data_loader.h"
    34 #endif
    35 #include "cld2tablesummary.h"
    36 #include "compact_lang_det_impl.h"
    37 #include "compact_lang_det_hint_code.h"
    38 #include "getonescriptspan.h"
    39 #include "tote.h"
    42 namespace CLD2 {
    44 using namespace std;
    46 // Linker supplies the right tables, From files
    47 // cld_generated_cjk_uni_prop_80.cc  cld2_generated_cjk_compatible.cc
    48 // cld_generated_cjk_delta_bi_32.cc  generated_distinct_bi_0.cc
    49 // cld2_generated_quad*.cc  cld2_generated_deltaocta*.cc
    50 // cld2_generated_distinctocta*.cc
    51 // cld_generated_score_quad_octa_1024_256.cc
    53 // 2014.01 Now implementing quadgram dual lookup tables, to allow main table
    54 //   sizes that are 1/3/5 times a power of two, instead of just powers of two.
    55 //   Gives more flexibility of total footprint for CLD2.
    57 extern const int kLanguageToPLangSize;
    58 extern const int kCloseSetSize;
    60 extern const UTF8PropObj cld_generated_CjkUni_obj;
    61 extern const CLD2TableSummary kCjkCompat_obj;
    62 extern const CLD2TableSummary kCjkDeltaBi_obj;
    63 extern const CLD2TableSummary kDistinctBiTable_obj;
    64 extern const CLD2TableSummary kQuad_obj;
    65 extern const CLD2TableSummary kQuad_obj2;     // Dual lookup tables
    66 extern const CLD2TableSummary kDeltaOcta_obj;
    67 extern const CLD2TableSummary kDistinctOcta_obj;
    68 extern const short kAvgDeltaOctaScore[];
    70 #ifdef CLD2_DYNAMIC_MODE
    71   // CLD2_DYNAMIC_MODE is defined:
    72   // Data will be read from an mmap opened at runtime.
    73   static ScoringTables kScoringtables = {
    74     NULL, //&cld_generated_CjkUni_obj,
    75     NULL, //&kCjkCompat_obj,
    76     NULL, //&kCjkDeltaBi_obj,
    77     NULL, //&kDistinctBiTable_obj,
    78     NULL, //&kQuad_obj,
    79     NULL, //&kQuad_obj2,
    80     NULL, //&kDeltaOcta_obj,
    81     NULL, //&kDistinctOcta_obj,
    82     NULL, //kAvgDeltaOctaScore,
    83   };
    84   static bool dynamicDataLoaded = false;
    85   static ScoringTables* dynamicTables = NULL;
    86   static void* mmapAddress = NULL;
    87   static int mmapLength = 0;
    89   bool isDataLoaded() { return dynamicDataLoaded; }
    91   void loadData(const char* fileName) {
    92     if (isDataLoaded()) {
    93       unloadData();
    94     }
    95     dynamicTables = CLD2DynamicDataLoader::loadDataFile(fileName, &mmapAddress, &mmapLength);
    96     kScoringtables = *dynamicTables;
    97     dynamicDataLoaded = true;
    98   };
   100   void unloadData() {
   101     if (!dynamicDataLoaded) return;
   102     dynamicDataLoaded = false;
   103     // unloading will null all the pointers out.
   104     CLD2DynamicDataLoader::unloadData(&dynamicTables, &mmapAddress, &mmapLength);
   105   }
   106 #else
   107   // This initializes kScoringtables.quadgram_obj etc.
   108   static const ScoringTables kScoringtables = {
   109     &cld_generated_CjkUni_obj,
   110     &kCjkCompat_obj,
   111     &kCjkDeltaBi_obj,
   112     &kDistinctBiTable_obj,
   114     &kQuad_obj,
   115     &kQuad_obj2,                              // Dual lookup tables
   116     &kDeltaOcta_obj,
   117     &kDistinctOcta_obj,
   119     kAvgDeltaOctaScore,
   120   };
   121 #endif // #ifdef CLD2_DYNAMIC_MODE
   124 static const bool FLAGS_cld_no_minimum_bytes = false;
   125 static const bool FLAGS_cld_forcewords = true;
   126 static const bool FLAGS_cld_showme = false;
   127 static const bool FLAGS_cld_echotext = true;
   128 static const int32 FLAGS_cld_textlimit = 160;
   129 static const int32 FLAGS_cld_smoothwidth = 20;
   130 static const bool FLAGS_cld_2011_hints = true;
   131 static const int32 FLAGS_cld_max_lang_tag_scan_kb = 8;
   133 static const bool FLAGS_dbgscore = false;
   136 static const int kLangHintInitial = 12;  // Boost language by N initially
   137 static const int kLangHintBoost = 12;    // Boost language by N/16 per quadgram
   139 static const int kShortSpanThresh = 32;       // Bytes
   140 static const int kMaxSecondChanceLen = 1024;  // Look at first 1K of short spans
   142 static const int kCheapSqueezeTestThresh = 4096;  // Only look for squeezing
   143                                                   // after this many text bytes
   144 static const int kCheapSqueezeTestLen = 256;  // Bytes to test to trigger sqz
   145 static const int kSpacesTriggerPercent = 25;  // Trigger sqz if >=25% spaces
   146 static const int kPredictTriggerPercent = 67; // Trigger sqz if >=67% predicted
   148 static const int kChunksizeDefault = 48;      // Squeeze 48-byte chunks
   149 static const int kSpacesThreshPercent = 25;   // Squeeze if >=25% spaces
   150 static const int kPredictThreshPercent = 40;  // Squeeze if >=40% predicted
   152 static const int kMaxSpaceScan = 32;          // Bytes
   154 static const int kGoodLang1Percent = 70;
   155 static const int kGoodLang1and2Percent = 93;
   156 static const int kShortTextThresh = 256;      // Bytes
   158 static const int kMinChunkSizeQuads = 4;      // Chunk is at least four quads
   159 static const int kMaxChunkSizeQuads = 1024;   // Chunk is at most 1K quads
   161 static const int kDefaultWordSpan = 256;      // Scan at least this many initial
   162                                               // bytes with word scoring
   163 static const int kReallyBigWordSpan = 9999999;  // Forces word scoring all text
   165 static const int kMinReliableSeq = 50;      // Record in seq if >= 50% reliable
   167 static const int kPredictionTableSize = 4096;   // Must be exactly 4096 for
   168                                                 // cheap compressor
   170 static const int kNonEnBoilerplateMinPercent = 17;    // <this => no second
   171 static const int kNonFIGSBoilerplateMinPercent = 20;  // <this => no second
   172 static const int kGoodFirstMinPercent = 26;           // <this => UNK
   173 static const int kGoodFirstReliableMinPercent = 51;   // <this => unreli
   174 static const int kIgnoreMaxPercent = 20;              // >this => unreli
   175 static const int kKeepMinPercent = 2;                 // <this => unreli
   179 // Statistically closest language, based on quadgram table
   180 // Those that are far from other languges map to UNKNOWN_LANGUAGE
   181 // Subscripted by Language
   182 //
   183 // From lang_correlation.txt and hand-edits
   184 // sed 's/^\([^ ]*\) \([^ ]*\) coef=0\.\(..\).*$/
   185 //   (\3 >= kMinCorrPercent) ? \2 : UNKNOWN_LANGUAGE,
   186 //   \/\/ \1/' lang_correlation.txt >/tmp/closest_lang_decl.txt
   187 //
   188 static const int kMinCorrPercent = 24;        // Pick off how close you want
   189                                               // 24 catches PERSIAN <== ARABIC
   190                                               // but not SPANISH <== PORTUGESE
   191 static Language Unknown = UNKNOWN_LANGUAGE;
   193 // Suspect idea
   194 // Subscripted by Language
   195 static const Language kClosestAltLanguage[] = {
   196   (28 >= kMinCorrPercent) ? SCOTS : UNKNOWN_LANGUAGE,  // ENGLISH
   197   (36 >= kMinCorrPercent) ? NORWEGIAN : UNKNOWN_LANGUAGE,  // DANISH
   198   (31 >= kMinCorrPercent) ? AFRIKAANS : UNKNOWN_LANGUAGE,  // DUTCH
   199   (15 >= kMinCorrPercent) ? ESTONIAN : UNKNOWN_LANGUAGE,  // FINNISH
   200   (11 >= kMinCorrPercent) ? OCCITAN : UNKNOWN_LANGUAGE,  // FRENCH
   201   (17 >= kMinCorrPercent) ? LUXEMBOURGISH : UNKNOWN_LANGUAGE,  // GERMAN
   202   (27 >= kMinCorrPercent) ? YIDDISH : UNKNOWN_LANGUAGE,  // HEBREW
   203   (16 >= kMinCorrPercent) ? CORSICAN : UNKNOWN_LANGUAGE,  // ITALIAN
   204   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // Japanese
   205   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // Korean
   206   (41 >= kMinCorrPercent) ? NORWEGIAN_N : UNKNOWN_LANGUAGE,  // NORWEGIAN
   207   ( 5 >= kMinCorrPercent) ? SLOVAK : UNKNOWN_LANGUAGE,  // POLISH
   208   (23 >= kMinCorrPercent) ? SPANISH : UNKNOWN_LANGUAGE,  // PORTUGUESE
   209   (33 >= kMinCorrPercent) ? BULGARIAN : UNKNOWN_LANGUAGE,  // RUSSIAN
   210   (28 >= kMinCorrPercent) ? GALICIAN : UNKNOWN_LANGUAGE,  // SPANISH
   211   (17 >= kMinCorrPercent) ? NORWEGIAN : UNKNOWN_LANGUAGE,  // SWEDISH
   212   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // Chinese
   213   (42 >= kMinCorrPercent) ? SLOVAK : UNKNOWN_LANGUAGE,  // CZECH
   214   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // GREEK
   215   (35 >= kMinCorrPercent) ? FAROESE : UNKNOWN_LANGUAGE,  // ICELANDIC
   216   ( 7 >= kMinCorrPercent) ? LITHUANIAN : UNKNOWN_LANGUAGE,  // LATVIAN
   217   ( 7 >= kMinCorrPercent) ? LATVIAN : UNKNOWN_LANGUAGE,  // LITHUANIAN
   218   ( 4 >= kMinCorrPercent) ? LATIN : UNKNOWN_LANGUAGE,  // ROMANIAN
   219   ( 4 >= kMinCorrPercent) ? SLOVAK : UNKNOWN_LANGUAGE,  // HUNGARIAN
   220   (15 >= kMinCorrPercent) ? FINNISH : UNKNOWN_LANGUAGE,  // ESTONIAN
   221   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // Ignore
   222   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // Unknown
   223   (33 >= kMinCorrPercent) ? RUSSIAN : UNKNOWN_LANGUAGE,  // BULGARIAN
   224   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // CROATIAN
   225   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // SERBIAN
   226   (24 >= kMinCorrPercent) ? SCOTS_GAELIC : UNKNOWN_LANGUAGE,  // IRISH
   227   (28 >= kMinCorrPercent) ? SPANISH : UNKNOWN_LANGUAGE,  // GALICIAN
   228   ( 8 >= kMinCorrPercent) ? INDONESIAN : UNKNOWN_LANGUAGE,  // TAGALOG
   229   (29 >= kMinCorrPercent) ? AZERBAIJANI : UNKNOWN_LANGUAGE,  // TURKISH
   230   (28 >= kMinCorrPercent) ? RUSSIAN : UNKNOWN_LANGUAGE,  // UKRAINIAN
   231   (37 >= kMinCorrPercent) ? MARATHI : UNKNOWN_LANGUAGE,  // HINDI
   232   (29 >= kMinCorrPercent) ? BULGARIAN : UNKNOWN_LANGUAGE,  // MACEDONIAN
   233   (14 >= kMinCorrPercent) ? ASSAMESE : UNKNOWN_LANGUAGE,  // BENGALI
   234   (46 >= kMinCorrPercent) ? MALAY : UNKNOWN_LANGUAGE,  // INDONESIAN
   235   ( 9 >= kMinCorrPercent) ? INTERLINGUA : UNKNOWN_LANGUAGE,  // LATIN
   236   (46 >= kMinCorrPercent) ? INDONESIAN : UNKNOWN_LANGUAGE,  // MALAY
   237   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // MALAYALAM
   238   ( 4 >= kMinCorrPercent) ? BRETON : UNKNOWN_LANGUAGE,  // WELSH
   239   ( 8 >= kMinCorrPercent) ? HINDI : UNKNOWN_LANGUAGE,  // NEPALI
   240   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // TELUGU
   241   ( 3 >= kMinCorrPercent) ? ESPERANTO : UNKNOWN_LANGUAGE,  // ALBANIAN
   242   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // TAMIL
   243   (22 >= kMinCorrPercent) ? UKRAINIAN : UNKNOWN_LANGUAGE,  // BELARUSIAN
   244   (15 >= kMinCorrPercent) ? SUNDANESE : UNKNOWN_LANGUAGE,  // JAVANESE
   245   (19 >= kMinCorrPercent) ? CATALAN : UNKNOWN_LANGUAGE,  // OCCITAN
   246   (27 >= kMinCorrPercent) ? PERSIAN : UNKNOWN_LANGUAGE,  // URDU
   247   (36 >= kMinCorrPercent) ? HINDI : UNKNOWN_LANGUAGE,  // BIHARI
   248   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // GUJARATI
   249   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // THAI
   250   (24 >= kMinCorrPercent) ? PERSIAN : UNKNOWN_LANGUAGE,  // ARABIC
   251   (19 >= kMinCorrPercent) ? OCCITAN : UNKNOWN_LANGUAGE,  // CATALAN
   252   ( 4 >= kMinCorrPercent) ? LATIN : UNKNOWN_LANGUAGE,  // ESPERANTO
   253   ( 3 >= kMinCorrPercent) ? GERMAN : UNKNOWN_LANGUAGE,  // BASQUE
   254   ( 9 >= kMinCorrPercent) ? LATIN : UNKNOWN_LANGUAGE,  // INTERLINGUA
   255   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // KANNADA
   256   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // PUNJABI
   257   (24 >= kMinCorrPercent) ? IRISH : UNKNOWN_LANGUAGE,  // SCOTS_GAELIC
   258   ( 7 >= kMinCorrPercent) ? KINYARWANDA : UNKNOWN_LANGUAGE,  // SWAHILI
   259   (28 >= kMinCorrPercent) ? SERBIAN : UNKNOWN_LANGUAGE,  // SLOVENIAN
   260   (37 >= kMinCorrPercent) ? HINDI : UNKNOWN_LANGUAGE,  // MARATHI
   261   ( 3 >= kMinCorrPercent) ? ITALIAN : UNKNOWN_LANGUAGE,  // MALTESE
   262   ( 1 >= kMinCorrPercent) ? YORUBA : UNKNOWN_LANGUAGE,  // VIETNAMESE
   263   (15 >= kMinCorrPercent) ? DUTCH : UNKNOWN_LANGUAGE,  // FRISIAN
   264   (42 >= kMinCorrPercent) ? CZECH : UNKNOWN_LANGUAGE,  // SLOVAK
   265   // Original ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // ChineseT
   266   (24 >= kMinCorrPercent) ? CHINESE : UNKNOWN_LANGUAGE,  // ChineseT
   267   (35 >= kMinCorrPercent) ? ICELANDIC : UNKNOWN_LANGUAGE,  // FAROESE
   268   (15 >= kMinCorrPercent) ? JAVANESE : UNKNOWN_LANGUAGE,  // SUNDANESE
   269   (17 >= kMinCorrPercent) ? TAJIK : UNKNOWN_LANGUAGE,  // UZBEK
   270   ( 7 >= kMinCorrPercent) ? TIGRINYA : UNKNOWN_LANGUAGE,  // AMHARIC
   271   (29 >= kMinCorrPercent) ? TURKISH : UNKNOWN_LANGUAGE,  // AZERBAIJANI
   272   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // GEORGIAN
   273   ( 7 >= kMinCorrPercent) ? AMHARIC : UNKNOWN_LANGUAGE,  // TIGRINYA
   274   (27 >= kMinCorrPercent) ? URDU : UNKNOWN_LANGUAGE,  // PERSIAN
   275   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // BOSNIAN
   276   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // SINHALESE
   277   (41 >= kMinCorrPercent) ? NORWEGIAN : UNKNOWN_LANGUAGE,  // NORWEGIAN_N
   278   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // PORTUGUESE_P
   279   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // PORTUGUESE_B
   280   (37 >= kMinCorrPercent) ? ZULU : UNKNOWN_LANGUAGE,  // XHOSA
   281   (37 >= kMinCorrPercent) ? XHOSA : UNKNOWN_LANGUAGE,  // ZULU
   282   ( 2 >= kMinCorrPercent) ? SPANISH : UNKNOWN_LANGUAGE,  // GUARANI
   283   (29 >= kMinCorrPercent) ? TSWANA : UNKNOWN_LANGUAGE,  // SESOTHO
   284   ( 7 >= kMinCorrPercent) ? TURKISH : UNKNOWN_LANGUAGE,  // TURKMEN
   285   ( 8 >= kMinCorrPercent) ? KAZAKH : UNKNOWN_LANGUAGE,  // KYRGYZ
   286   ( 5 >= kMinCorrPercent) ? FRENCH : UNKNOWN_LANGUAGE,  // BRETON
   287   ( 3 >= kMinCorrPercent) ? GANDA : UNKNOWN_LANGUAGE,  // TWI
   288   (27 >= kMinCorrPercent) ? HEBREW : UNKNOWN_LANGUAGE,  // YIDDISH
   289   (28 >= kMinCorrPercent) ? SLOVENIAN : UNKNOWN_LANGUAGE,  // SERBO_CROATIAN
   290   (12 >= kMinCorrPercent) ? OROMO : UNKNOWN_LANGUAGE,  // SOMALI
   291   ( 9 >= kMinCorrPercent) ? UZBEK : UNKNOWN_LANGUAGE,  // UIGHUR
   292   (15 >= kMinCorrPercent) ? PERSIAN : UNKNOWN_LANGUAGE,  // KURDISH
   293   ( 6 >= kMinCorrPercent) ? KYRGYZ : UNKNOWN_LANGUAGE,  // MONGOLIAN
   294   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // ARMENIAN
   295   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // LAOTHIAN
   296   ( 8 >= kMinCorrPercent) ? URDU : UNKNOWN_LANGUAGE,  // SINDHI
   297   (10 >= kMinCorrPercent) ? ITALIAN : UNKNOWN_LANGUAGE,  // RHAETO_ROMANCE
   298   (31 >= kMinCorrPercent) ? DUTCH : UNKNOWN_LANGUAGE,  // AFRIKAANS
   299   (17 >= kMinCorrPercent) ? GERMAN : UNKNOWN_LANGUAGE,  // LUXEMBOURGISH
   300   ( 2 >= kMinCorrPercent) ? SCOTS : UNKNOWN_LANGUAGE,  // BURMESE
   301   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // KHMER
   302   (45 >= kMinCorrPercent) ? DZONGKHA : UNKNOWN_LANGUAGE,  // TIBETAN
   303   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // DHIVEHI
   304   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // CHEROKEE
   305   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // SYRIAC
   306   ( 8 >= kMinCorrPercent) ? DUTCH : UNKNOWN_LANGUAGE,  // LIMBU
   307   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // ORIYA
   308   (14 >= kMinCorrPercent) ? BENGALI : UNKNOWN_LANGUAGE,  // ASSAMESE
   309   (16 >= kMinCorrPercent) ? ITALIAN : UNKNOWN_LANGUAGE,  // CORSICAN
   310   ( 5 >= kMinCorrPercent) ? INTERLINGUA : UNKNOWN_LANGUAGE,  // INTERLINGUE
   311   ( 8 >= kMinCorrPercent) ? KYRGYZ : UNKNOWN_LANGUAGE,  // KAZAKH
   312   ( 4 >= kMinCorrPercent) ? SWAHILI : UNKNOWN_LANGUAGE,  // LINGALA
   313   (11 >= kMinCorrPercent) ? RUSSIAN : UNKNOWN_LANGUAGE,  // MOLDAVIAN
   314   (19 >= kMinCorrPercent) ? PERSIAN : UNKNOWN_LANGUAGE,  // PASHTO
   315   ( 5 >= kMinCorrPercent) ? AYMARA : UNKNOWN_LANGUAGE,  // QUECHUA
   316   ( 5 >= kMinCorrPercent) ? KINYARWANDA : UNKNOWN_LANGUAGE,  // SHONA
   317   (17 >= kMinCorrPercent) ? UZBEK : UNKNOWN_LANGUAGE,  // TAJIK
   318   (13 >= kMinCorrPercent) ? BASHKIR : UNKNOWN_LANGUAGE,  // TATAR
   319   (11 >= kMinCorrPercent) ? SAMOAN : UNKNOWN_LANGUAGE,  // TONGA
   320   ( 2 >= kMinCorrPercent) ? TWI : UNKNOWN_LANGUAGE,  // YORUBA
   321   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // CREOLES_AND_PIDGINS_ENGLISH_BASED
   322   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // CREOLES_AND_PIDGINS_FRENCH_BASED
   323   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // CREOLES_AND_PIDGINS_PORTUGUESE_BASED
   324   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // CREOLES_AND_PIDGINS_OTHER
   325   ( 6 >= kMinCorrPercent) ? TONGA : UNKNOWN_LANGUAGE,  // MAORI
   326   ( 3 >= kMinCorrPercent) ? OROMO : UNKNOWN_LANGUAGE,  // WOLOF
   327   ( 1 >= kMinCorrPercent) ? MONGOLIAN : UNKNOWN_LANGUAGE,  // ABKHAZIAN
   328   ( 8 >= kMinCorrPercent) ? SOMALI : UNKNOWN_LANGUAGE,  // AFAR
   329   ( 5 >= kMinCorrPercent) ? QUECHUA : UNKNOWN_LANGUAGE,  // AYMARA
   330   (13 >= kMinCorrPercent) ? TATAR : UNKNOWN_LANGUAGE,  // BASHKIR
   331   ( 3 >= kMinCorrPercent) ? ENGLISH : UNKNOWN_LANGUAGE,  // BISLAMA
   332   (45 >= kMinCorrPercent) ? TIBETAN : UNKNOWN_LANGUAGE,  // DZONGKHA
   333   ( 4 >= kMinCorrPercent) ? TONGA : UNKNOWN_LANGUAGE,  // FIJIAN
   334   ( 7 >= kMinCorrPercent) ? INUPIAK : UNKNOWN_LANGUAGE,  // GREENLANDIC
   335   ( 3 >= kMinCorrPercent) ? AFAR : UNKNOWN_LANGUAGE,  // HAUSA
   336   ( 3 >= kMinCorrPercent) ? OCCITAN : UNKNOWN_LANGUAGE,  // HAITIAN_CREOLE
   337   ( 7 >= kMinCorrPercent) ? GREENLANDIC : UNKNOWN_LANGUAGE,  // INUPIAK
   338   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // INUKTITUT
   339   ( 4 >= kMinCorrPercent) ? HINDI : UNKNOWN_LANGUAGE,  // KASHMIRI
   340   (30 >= kMinCorrPercent) ? RUNDI : UNKNOWN_LANGUAGE,  // KINYARWANDA
   341   ( 2 >= kMinCorrPercent) ? TAGALOG : UNKNOWN_LANGUAGE,  // MALAGASY
   342   (17 >= kMinCorrPercent) ? GERMAN : UNKNOWN_LANGUAGE,  // NAURU
   343   (12 >= kMinCorrPercent) ? SOMALI : UNKNOWN_LANGUAGE,  // OROMO
   344   (30 >= kMinCorrPercent) ? KINYARWANDA : UNKNOWN_LANGUAGE,  // RUNDI
   345   (11 >= kMinCorrPercent) ? TONGA : UNKNOWN_LANGUAGE,  // SAMOAN
   346   ( 1 >= kMinCorrPercent) ? LINGALA : UNKNOWN_LANGUAGE,  // SANGO
   347   (32 >= kMinCorrPercent) ? MARATHI : UNKNOWN_LANGUAGE,  // SANSKRIT
   348   (16 >= kMinCorrPercent) ? ZULU : UNKNOWN_LANGUAGE,  // SISWANT
   349   ( 5 >= kMinCorrPercent) ? SISWANT : UNKNOWN_LANGUAGE,  // TSONGA
   350   (29 >= kMinCorrPercent) ? SESOTHO : UNKNOWN_LANGUAGE,  // TSWANA
   351   ( 2 >= kMinCorrPercent) ? ESTONIAN : UNKNOWN_LANGUAGE,  // VOLAPUK
   352   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // ZHUANG
   353   ( 1 >= kMinCorrPercent) ? MALAY : UNKNOWN_LANGUAGE,  // KHASI
   354   (28 >= kMinCorrPercent) ? ENGLISH : UNKNOWN_LANGUAGE,  // SCOTS
   355   (15 >= kMinCorrPercent) ? KINYARWANDA : UNKNOWN_LANGUAGE,  // GANDA
   356   ( 7 >= kMinCorrPercent) ? ENGLISH : UNKNOWN_LANGUAGE,  // MANX
   357   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // MONTENEGRIN
   359   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // AKAN
   360   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // IGBO
   361   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // MAURITIAN_CREOLE
   362   ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE,  // HAWAIIAN
   363 };
   365 // COMPILE_ASSERT(arraysize(kClosestAltLanguage) == NUM_LANGUAGES,
   366 //                kClosestAltLanguage_has_incorrect_size);
   369 inline bool FlagFinish(int flags) {return (flags & kCLDFlagFinish) != 0;}
   370 inline bool FlagSqueeze(int flags) {return (flags & kCLDFlagSqueeze) != 0;}
   371 inline bool FlagRepeats(int flags) {return (flags & kCLDFlagRepeats) != 0;}
   372 inline bool FlagTop40(int flags) {return (flags & kCLDFlagTop40) != 0;}
   373 inline bool FlagShort(int flags) {return (flags & kCLDFlagShort) != 0;}
   374 inline bool FlagHint(int flags) {return (flags & kCLDFlagHint) != 0;}
   375 inline bool FlagUseWords(int flags) {return (flags & kCLDFlagUseWords) != 0;}
   378   // Defines Top40 packed languages
   380   // Google top 40 languages
   381   //
   382   // Tier 0/1 Language enum list (16)
   383   //   ENGLISH, /*no en_GB,*/ FRENCH, ITALIAN, GERMAN, SPANISH,    // E - FIGS
   384   //   DUTCH, CHINESE, CHINESE_T, JAPANESE, KOREAN,
   385   //   PORTUGUESE, RUSSIAN, POLISH, TURKISH, THAI,
   386   //   ARABIC,
   387   //
   388   // Tier 2 Language enum list (22)
   389   //   SWEDISH, FINNISH, DANISH, /*no pt-PT,*/ ROMANIAN, HUNGARIAN,
   390   //   HEBREW, INDONESIAN, CZECH, GREEK, NORWEGIAN,
   391   //   VIETNAMESE, BULGARIAN, CROATIAN, LITHUANIAN, SLOVAK,
   392   //   TAGALOG, SLOVENIAN, SERBIAN, CATALAN, LATVIAN,
   393   //   UKRAINIAN, HINDI,
   394   //
   395   //   use SERBO_CROATIAN instead of BOSNIAN, SERBIAN, CROATIAN, MONTENEGRIN(21)
   396   //
   397   // Include IgnoreMe (TG_UNKNOWN_LANGUAGE, 25+1) as a top 40
   400 void DemoteNotTop40(Tote* chunk_tote, uint16 psplus_one) {
   401   // REVISIT
   402 }
   404 void PrintText(FILE* f, Language cur_lang, const string& temp) {
   405   if (temp.size() == 0) {return;}
   406   fprintf(f, "PrintText[%s]%s<br>\n", LanguageName(cur_lang), temp.c_str());
   407 }
   410 //------------------------------------------------------------------------------
   411 // For --cld_html debugging output. Not thread safe
   412 //------------------------------------------------------------------------------
   413 static Language prior_lang = UNKNOWN_LANGUAGE;
   414 static bool prior_unreliable = false;
   416 //------------------------------------------------------------------------------
   417 // End For --cld_html debugging output
   418 //------------------------------------------------------------------------------
   421 // Backscan to word boundary, returning how many bytes n to go back
   422 // so that src - n is non-space ans src - n - 1 is space.
   423 // If not found in kMaxSpaceScan bytes, return 0..3 to a clean UTF-8 boundary
   424 int BackscanToSpace(const char* src, int limit) {
   425   int n = 0;
   426   limit = minint(limit, kMaxSpaceScan);
   427   while (n < limit) {
   428     if (src[-n - 1] == ' ') {return n;}    // We are at _X
   429     ++n;
   430   }
   431   n = 0;
   432   while (n < limit) {
   433     if ((src[-n] & 0xc0) != 0x80) {return n;}    // We are at char begin
   434     ++n;
   435   }
   436   return 0;
   437 }
   439 // Forwardscan to word boundary, returning how many bytes n to go forward
   440 // so that src + n is non-space ans src + n - 1 is space.
   441 // If not found in kMaxSpaceScan bytes, return 0..3 to a clean UTF-8 boundary
   442 int ForwardscanToSpace(const char* src, int limit) {
   443   int n = 0;
   444   limit = minint(limit, kMaxSpaceScan);
   445   while (n < limit) {
   446     if (src[n] == ' ') {return n + 1;}    // We are at _X
   447     ++n;
   448   }
   449   n = 0;
   450   while (n < limit) {
   451     if ((src[n] & 0xc0) != 0x80) {return n;}    // We are at char begin
   452     ++n;
   453   }
   454   return 0;
   455 }
   458 // This uses a cheap predictor to get a measure of compression, and
   459 // hence a measure of repetitiveness. It works on complete UTF-8 characters
   460 // instead of bytes, because three-byte UTF-8 Indic, etc. text compress highly
   461 // all the time when done with a byte-based count. Sigh.
   462 //
   463 // To allow running prediction across multiple chunks, caller passes in current
   464 // 12-bit hash value and int[4096] prediction table. Caller inits these to 0.
   465 //
   466 // Returns the number of *bytes* correctly predicted, increments by 1..4 for
   467 // each correctly-predicted character.
   468 //
   469 // NOTE: Overruns by up to three bytes. Not a problem with valid UTF-8 text
   470 //
   472 // TODO(dsites) make this use just one byte per UTF-8 char and incr by charlen
   474 int CountPredictedBytes(const char* isrc, int src_len, int* hash, int* tbl) {
   475   int p_count = 0;
   476   const uint8* src = reinterpret_cast<const uint8*>(isrc);
   477   const uint8* srclimit = src + src_len;
   478   int local_hash = *hash;
   480   while (src < srclimit) {
   481     int c = src[0];
   482     int incr = 1;
   484     // Pick up one char and length
   485     if (c < 0xc0) {
   486       // One-byte or continuation byte: 00xxxxxx 01xxxxxx 10xxxxxx
   487       // Do nothing more
   488     } else if ((c & 0xe0) == 0xc0) {
   489       // Two-byte
   490       c = (c << 8) | src[1];
   491       incr = 2;
   492     } else if ((c & 0xf0) == 0xe0) {
   493       // Three-byte
   494       c = (c << 16) | (src[1] << 8) | src[2];
   495       incr = 3;
   496     } else {
   497       // Four-byte
   498       c = (c << 24) | (src[1] << 16) | (src[2] << 8) | src[3];
   499       incr = 4;
   500     }
   501     src += incr;
   503     int p = tbl[local_hash];            // Prediction
   504     tbl[local_hash] = c;                // Update prediction
   505     if (c == p) {
   506       p_count += incr;                  // Count bytes of good predictions
   507     }
   509     local_hash = ((local_hash << 4) ^ c) & 0xfff;
   510   }
   511   *hash = local_hash;
   512   return p_count;
   513 }
   517 // Counts number of spaces; a little faster than one-at-a-time
   518 // Doesn't count odd bytes at end
   519 int CountSpaces4(const char* src, int src_len) {
   520   int s_count = 0;
   521   for (int i = 0; i < (src_len & ~3); i += 4) {
   522     s_count += (src[i] == ' ');
   523     s_count += (src[i+1] == ' ');
   524     s_count += (src[i+2] == ' ');
   525     s_count += (src[i+3] == ' ');
   526   }
   527   return s_count;
   528 }
   531 // Remove words of text that have more than half their letters predicted
   532 // correctly by our cheap predictor, moving the remaining words in-place
   533 // to the front of the input buffer.
   534 //
   535 // To allow running prediction across multiple chunks, caller passes in current
   536 // 12-bit hash value and int[4096] prediction table. Caller inits these to 0.
   537 //
   538 // Return the new, possibly-shorter length
   539 //
   540 // Result Buffer ALWAYS has leading space and trailing space space space NUL,
   541 // if input does
   542 //
   543 int CheapRepWordsInplace(char* isrc, int src_len, int* hash, int* tbl) {
   544   const uint8* src = reinterpret_cast<const uint8*>(isrc);
   545   const uint8* srclimit = src + src_len;
   546   char* dst = isrc;
   547   int local_hash = *hash;
   548   char* word_dst = dst;           // Start of next word
   549   int good_predict_bytes = 0;
   550   int word_length_bytes = 0;
   552   while (src < srclimit) {
   553     int c = src[0];
   554     int incr = 1;
   555     *dst++ = c;
   557     if (c == ' ') {
   558       if ((good_predict_bytes * 2) > word_length_bytes) {
   559         // Word is well-predicted: backup to start of this word
   560         dst = word_dst;
   561         if (FLAGS_cld_showme) {
   562           // Mark the deletion point with period
   563           // Don't repeat multiple periods
   564           // Cannot mark with more bytes or may overwrite unseen input
   565           if ((isrc < (dst - 2)) && (dst[-2] != '.')) {
   566             *dst++ = '.';
   567             *dst++ = ' ';
   568           }
   569         }
   570       }
   571       word_dst = dst;              // Start of next word
   572       good_predict_bytes = 0;
   573       word_length_bytes = 0;
   574     }
   576     // Pick up one char and length
   577     if (c < 0xc0) {
   578       // One-byte or continuation byte: 00xxxxxx 01xxxxxx 10xxxxxx
   579       // Do nothing more
   580     } else if ((c & 0xe0) == 0xc0) {
   581       // Two-byte
   582       *dst++ = src[1];
   583       c = (c << 8) | src[1];
   584       incr = 2;
   585     } else if ((c & 0xf0) == 0xe0) {
   586       // Three-byte
   587       *dst++ = src[1];
   588       *dst++ = src[2];
   589       c = (c << 16) | (src[1] << 8) | src[2];
   590       incr = 3;
   591     } else {
   592       // Four-byte
   593       *dst++ = src[1];
   594       *dst++ = src[2];
   595       *dst++ = src[3];
   596       c = (c << 24) | (src[1] << 16) | (src[2] << 8) | src[3];
   597       incr = 4;
   598     }
   599     src += incr;
   600     word_length_bytes += incr;
   602     int p = tbl[local_hash];            // Prediction
   603     tbl[local_hash] = c;                // Update prediction
   604     if (c == p) {
   605       good_predict_bytes += incr;       // Count good predictions
   606     }
   608     local_hash = ((local_hash << 4) ^ c) & 0xfff;
   609   }
   611   *hash = local_hash;
   613   if ((dst - isrc) < (src_len - 3)) {
   614     // Pad and make last char clean UTF-8 by putting following spaces
   615     dst[0] = ' ';
   616     dst[1] = ' ';
   617     dst[2] = ' ';
   618     dst[3] = '\0';
   619   } else  if ((dst - isrc) < src_len) {
   620     // Make last char clean UTF-8 by putting following space off the end
   621     dst[0] = ' ';
   622   }
   624   return static_cast<int>(dst - isrc);
   625 }
   628 // This alternate form overwrites redundant words, thus avoiding corrupting the
   629 // backmap for generate a vector of original-text ranges.
   630 int CheapRepWordsInplaceOverwrite(char* isrc, int src_len, int* hash, int* tbl) {
   631   const uint8* src = reinterpret_cast<const uint8*>(isrc);
   632   const uint8* srclimit = src + src_len;
   633   char* dst = isrc;
   634   int local_hash = *hash;
   635   char* word_dst = dst;           // Start of next word
   636   int good_predict_bytes = 0;
   637   int word_length_bytes = 0;
   639   while (src < srclimit) {
   640     int c = src[0];
   641     int incr = 1;
   642     *dst++ = c;
   644     if (c == ' ') {
   645       if ((good_predict_bytes * 2) > word_length_bytes) {
   646         // Word [word_dst..dst-1) is well-predicted: overwrite
   647         for (char* p = word_dst; p < dst - 1; ++p) {*p = '.';}
   648       }
   649       word_dst = dst;              // Start of next word
   650       good_predict_bytes = 0;
   651       word_length_bytes = 0;
   652     }
   654     // Pick up one char and length
   655     if (c < 0xc0) {
   656       // One-byte or continuation byte: 00xxxxxx 01xxxxxx 10xxxxxx
   657       // Do nothing more
   658     } else if ((c & 0xe0) == 0xc0) {
   659       // Two-byte
   660       *dst++ = src[1];
   661       c = (c << 8) | src[1];
   662       incr = 2;
   663     } else if ((c & 0xf0) == 0xe0) {
   664       // Three-byte
   665       *dst++ = src[1];
   666       *dst++ = src[2];
   667       c = (c << 16) | (src[1] << 8) | src[2];
   668       incr = 3;
   669     } else {
   670       // Four-byte
   671       *dst++ = src[1];
   672       *dst++ = src[2];
   673       *dst++ = src[3];
   674       c = (c << 24) | (src[1] << 16) | (src[2] << 8) | src[3];
   675       incr = 4;
   676     }
   677     src += incr;
   678     word_length_bytes += incr;
   680     int p = tbl[local_hash];            // Prediction
   681     tbl[local_hash] = c;                // Update prediction
   682     if (c == p) {
   683       good_predict_bytes += incr;       // Count good predictions
   684     }
   686     local_hash = ((local_hash << 4) ^ c) & 0xfff;
   687   }
   689   *hash = local_hash;
   691   if ((dst - isrc) < (src_len - 3)) {
   692     // Pad and make last char clean UTF-8 by putting following spaces
   693     dst[0] = ' ';
   694     dst[1] = ' ';
   695     dst[2] = ' ';
   696     dst[3] = '\0';
   697   } else  if ((dst - isrc) < src_len) {
   698     // Make last char clean UTF-8 by putting following space off the end
   699     dst[0] = ' ';
   700   }
   702   return static_cast<int>(dst - isrc);
   703 }
   706 // Remove portions of text that have a high density of spaces, or that are
   707 // overly repetitive, squeezing the remaining text in-place to the front of the
   708 // input buffer.
   709 //
   710 // Squeezing looks at density of space/prediced chars in fixed-size chunks,
   711 // specified by chunksize. A chunksize <= 0 uses the default size of 48 bytes.
   712 //
   713 // Return the new, possibly-shorter length
   714 //
   715 // Result Buffer ALWAYS has leading space and trailing space space space NUL,
   716 // if input does
   717 //
   718 int CheapSqueezeInplace(char* isrc,
   719                                             int src_len,
   720                                             int ichunksize) {
   721   char* src = isrc;
   722   char* dst = src;
   723   char* srclimit = src + src_len;
   724   bool skipping = false;
   726   int hash = 0;
   727   // Allocate local prediction table.
   728   int* predict_tbl = new int[kPredictionTableSize];
   729   memset(predict_tbl, 0, kPredictionTableSize * sizeof(predict_tbl[0]));
   731   int chunksize = ichunksize;
   732   if (chunksize == 0) {chunksize = kChunksizeDefault;}
   733   int space_thresh = (chunksize * kSpacesThreshPercent) / 100;
   734   int predict_thresh = (chunksize * kPredictThreshPercent) / 100;
   736   while (src < srclimit) {
   737     int remaining_bytes = srclimit - src;
   738     int len = minint(chunksize, remaining_bytes);
   739     // Make len land us on a UTF-8 character boundary.
   740     // Ah. Also fixes mispredict because we could get out of phase
   741     // Loop always terminates at trailing space in buffer
   742     while ((src[len] & 0xc0) == 0x80) {++len;}  // Move past continuation bytes
   744     int space_n = CountSpaces4(src, len);
   745     int predb_n = CountPredictedBytes(src, len, &hash, predict_tbl);
   746     if ((space_n >= space_thresh) || (predb_n >= predict_thresh)) {
   747       // Skip the text
   748       if (!skipping) {
   749         // Keeping-to-skipping transition; do it at a space
   750         int n = BackscanToSpace(dst, static_cast<int>(dst - isrc));
   751         dst -= n;
   752         if (dst == isrc) {
   753           // Force a leading space if the first chunk is deleted
   754           *dst++ = ' ';
   755         }
   756         if (FLAGS_cld_showme) {
   757           // Mark the deletion point with black square U+25A0
   758           *dst++ = static_cast<unsigned char>(0xe2);
   759           *dst++ = static_cast<unsigned char>(0x96);
   760           *dst++ = static_cast<unsigned char>(0xa0);
   761           *dst++ = ' ';
   762         }
   763         skipping = true;
   764       }
   765     } else {
   766       // Keep the text
   767       if (skipping) {
   768         // Skipping-to-keeping transition; do it at a space
   769         int n = ForwardscanToSpace(src, len);
   770         src += n;
   771         remaining_bytes -= n;   // Shrink remaining length
   772         len -= n;
   773         skipping = false;
   774       }
   775       // "len" can be negative in some cases
   776       if (len > 0) {
   777         memmove(dst, src, len);
   778         dst += len;
   779       }
   780     }
   781     src += len;
   782   }
   784   if ((dst - isrc) < (src_len - 3)) {
   785     // Pad and make last char clean UTF-8 by putting following spaces
   786     dst[0] = ' ';
   787     dst[1] = ' ';
   788     dst[2] = ' ';
   789     dst[3] = '\0';
   790   } else   if ((dst - isrc) < src_len) {
   791     // Make last char clean UTF-8 by putting following space off the end
   792     dst[0] = ' ';
   793   }
   795   // Deallocate local prediction table
   796   delete[] predict_tbl;
   797   return static_cast<int>(dst - isrc);
   798 }
   800 // This alternate form overwrites redundant words, thus avoiding corrupting the
   801 // backmap for generate a vector of original-text ranges.
   802 int CheapSqueezeInplaceOverwrite(char* isrc,
   803                                             int src_len,
   804                                             int ichunksize) {
   805   char* src = isrc;
   806   char* dst = src;
   807   char* srclimit = src + src_len;
   808   bool skipping = false;
   810   int hash = 0;
   811   // Allocate local prediction table.
   812   int* predict_tbl = new int[kPredictionTableSize];
   813   memset(predict_tbl, 0, kPredictionTableSize * sizeof(predict_tbl[0]));
   815   int chunksize = ichunksize;
   816   if (chunksize == 0) {chunksize = kChunksizeDefault;}
   817   int space_thresh = (chunksize * kSpacesThreshPercent) / 100;
   818   int predict_thresh = (chunksize * kPredictThreshPercent) / 100;
   820   // Always keep first byte (space)
   821   ++src;
   822   ++dst;
   823   while (src < srclimit) {
   824     int remaining_bytes = srclimit - src;
   825     int len = minint(chunksize, remaining_bytes);
   826     // Make len land us on a UTF-8 character boundary.
   827     // Ah. Also fixes mispredict because we could get out of phase
   828     // Loop always terminates at trailing space in buffer
   829     while ((src[len] & 0xc0) == 0x80) {++len;}  // Move past continuation bytes
   831     int space_n = CountSpaces4(src, len);
   832     int predb_n = CountPredictedBytes(src, len, &hash, predict_tbl);
   833     if ((space_n >= space_thresh) || (predb_n >= predict_thresh)) {
   834       // Overwrite the text [dst-n..dst)
   835       if (!skipping) {
   836         // Keeping-to-skipping transition; do it at a space
   837         int n = BackscanToSpace(dst, static_cast<int>(dst - isrc));
   838         // Text [word_dst..dst) is well-predicted: overwrite
   839         for (char* p = dst - n; p < dst; ++p) {*p = '.';}
   840         skipping = true;
   841       }
   842       // Overwrite the text [dst..dst+len)
   843       for (char* p = dst; p < dst + len; ++p) {*p = '.';}
   844       dst[len - 1] = ' ';    // Space at end so we can see what is happening
   845     } else {
   846       // Keep the text
   847       if (skipping) {
   848         // Skipping-to-keeping transition; do it at a space
   849         int n = ForwardscanToSpace(src, len);
   850         // Text [dst..dst+n) is well-predicted: overwrite
   851         for (char* p = dst; p < dst + n - 1; ++p) {*p = '.';}
   852         skipping = false;
   853       }
   854     }
   855     dst += len;
   856     src += len;
   857   }
   859   if ((dst - isrc) < (src_len - 3)) {
   860     // Pad and make last char clean UTF-8 by putting following spaces
   861     dst[0] = ' ';
   862     dst[1] = ' ';
   863     dst[2] = ' ';
   864     dst[3] = '\0';
   865   } else   if ((dst - isrc) < src_len) {
   866     // Make last char clean UTF-8 by putting following space off the end
   867     dst[0] = ' ';
   868   }
   870   // Deallocate local prediction table
   871   delete[] predict_tbl;
   872   return static_cast<int>(dst - isrc);
   873 }
   875 // Timing 2.8GHz P4 (dsites 2008.03.20) with 170KB input
   876 //  About 90 MB/sec, with or without memcpy, chunksize 48 or 4096
   877 //  Just CountSpaces is about 340 MB/sec
   878 //  Byte-only CountPredictedBytes is about 150 MB/sec
   879 //  Byte-only CountPredictedBytes, conditional tbl[] = is about 85! MB/sec
   880 //  Byte-only CountPredictedBytes is about 180 MB/sec, byte tbl, byte/int c
   881 //  Unjammed byte-only both = 170 MB/sec
   882 //  Jammed byte-only both = 120 MB/sec
   883 //  Back to original w/slight updates, 110 MB/sec
   884 //
   885 bool CheapSqueezeTriggerTest(const char* src, int src_len, int testsize) {
   886   // Don't trigger at all on short text
   887   if (src_len < testsize) {return false;}
   888   int space_thresh = (testsize * kSpacesTriggerPercent) / 100;
   889   int predict_thresh = (testsize * kPredictTriggerPercent) / 100;
   890   int hash = 0;
   891   // Allocate local prediction table.
   892   int* predict_tbl = new int[kPredictionTableSize];
   893   memset(predict_tbl, 0, kPredictionTableSize * sizeof(predict_tbl[0]));
   895   bool retval = false;
   896   if ((CountSpaces4(src, testsize) >= space_thresh) ||
   897       (CountPredictedBytes(src, testsize, &hash, predict_tbl) >=
   898        predict_thresh)) {
   899     retval = true;
   900   }
   901   // Deallocate local prediction table
   902   delete[] predict_tbl;
   903   return retval;
   904 }
   909 // Delete any extended languages from doc_tote
   910 void RemoveExtendedLanguages(DocTote* doc_tote) {
   911   // Now a nop
   912 }
   914 static const int kMinReliableKeepPercent = 41;  // Remove lang if reli < this
   916 // For Tier3 languages, require a minimum number of bytes to be first-place lang
   917 static const int kGoodFirstT3MinBytes = 24;         // <this => no first
   919 // Move bytes for unreliable langs to another lang or UNKNOWN
   920 // doc_tote is sorted, so cannot Add
   921 //
   922 // If both CHINESE and CHINESET are present and unreliable, do not delete both;
   923 // merge both into CHINESE.
   924 //
   925 //dsites 2009.03.19
   926 // we also want to remove Tier3 languages as the first lang if there is very
   927 // little text like ej1 ej2 ej3 ej4
   928 // maybe fold this back in earlier
   929 //
   930 void RemoveUnreliableLanguages(DocTote* doc_tote,
   931                                bool FLAGS_cld2_html, bool FLAGS_cld2_quiet) {
   932   // Prepass to merge some low-reliablility languages
   933   // TODO: this shouldn't really reach in to the internal structure of doc_tote
   934   int total_bytes = 0;
   935   for (int sub = 0; sub < doc_tote->MaxSize(); ++sub) {
   936     int plang = doc_tote->Key(sub);
   937     if (plang == DocTote::kUnusedKey) {continue;}               // Empty slot
   939     Language lang = static_cast<Language>(plang);
   940     int bytes = doc_tote->Value(sub);
   941     int reli = doc_tote->Reliability(sub);
   942     if (bytes == 0) {continue;}                     // Zero bytes
   943     total_bytes += bytes;
   945     // Reliable percent = stored reliable score over stored bytecount
   946     int reliable_percent = reli / bytes;
   947     if (reliable_percent >= kMinReliableKeepPercent) {continue;}   // Keeper
   949     // This language is too unreliable to keep, but we might merge it.
   950     Language altlang = UNKNOWN_LANGUAGE;
   951     if (lang <= HAWAIIAN) {altlang = kClosestAltLanguage[lang];}
   952     if (altlang == UNKNOWN_LANGUAGE) {continue;}    // No alternative
   954     // Look for alternative in doc_tote
   955     int altsub = doc_tote->Find(altlang);
   956     if (altsub < 0) {continue;}                     // No alternative text
   958     int bytes2 = doc_tote->Value(altsub);
   959     int reli2 = doc_tote->Reliability(altsub);
   960     if (bytes2 == 0) {continue;}                    // Zero bytes
   962     // Reliable percent is stored reliable score over stored bytecount
   963     int reliable_percent2 = reli2 / bytes2;
   965     // Merge one language into the other. Break ties toward lower lang #
   966     int tosub = altsub;
   967     int fromsub = sub;
   968     bool into_lang = false;
   969     if ((reliable_percent2 < reliable_percent) ||
   970         ((reliable_percent2 == reliable_percent) && (lang < altlang))) {
   971       tosub = sub;
   972       fromsub = altsub;
   973       into_lang = true;
   974     }
   976     // Make sure merged reliability doesn't drop and is enough to avoid delete
   977     int newpercent = maxint(reliable_percent, reliable_percent2);
   978     newpercent = maxint(newpercent, kMinReliableKeepPercent);
   979     int newbytes = bytes + bytes2;
   980     int newreli = newpercent * newbytes;
   982     doc_tote->SetKey(fromsub, DocTote::kUnusedKey);
   983     doc_tote->SetScore(fromsub, 0);
   984     doc_tote->SetReliability(fromsub, 0);
   985     doc_tote->SetScore(tosub, newbytes);
   986     doc_tote->SetReliability(tosub, newreli);
   988     // Show fate of unreliable languages if at least 10 bytes
   989     if (FLAGS_cld2_html && (newbytes >= 10) &&
   990         !FLAGS_cld2_quiet) {
   991       if (into_lang) {
   992         fprintf(stderr, "{Unreli %s.%dR,%dB => %s} ",
   993                 LanguageCode(altlang), reliable_percent2, bytes2,
   994                 LanguageCode(lang));
   995       } else {
   996         fprintf(stderr, "{Unreli %s.%dR,%dB => %s} ",
   997                 LanguageCode(lang), reliable_percent, bytes,
   998                 LanguageCode(altlang));
   999       }
  1004   // Pass to delete any remaining unreliable languages
  1005   for (int sub = 0; sub < doc_tote->MaxSize(); ++sub) {
  1006     int plang = doc_tote->Key(sub);
  1007     if (plang == DocTote::kUnusedKey) {continue;}               // Empty slot
  1009     Language lang = static_cast<Language>(plang);
  1010     int bytes = doc_tote->Value(sub);
  1011     int reli = doc_tote->Reliability(sub);
  1012     if (bytes == 0) {continue;}                     // Zero bytes
  1014     // Reliable percent is stored as reliable score over stored bytecount
  1015     int reliable_percent = reli / bytes;
  1016     if (reliable_percent >= kMinReliableKeepPercent) {  // Keeper?
  1017        continue;                                        // yes
  1020     // Delete unreliable entry
  1021     doc_tote->SetKey(sub, DocTote::kUnusedKey);
  1022     doc_tote->SetScore(sub, 0);
  1023     doc_tote->SetReliability(sub, 0);
  1025     // Show fate of unreliable languages if at least 10 bytes
  1026     if (FLAGS_cld2_html && (bytes >= 10) &&
  1027         !FLAGS_cld2_quiet) {
  1028       fprintf(stderr, "{Unreli %s.%dR,%dB} ",
  1029               LanguageCode(lang), reliable_percent, bytes);
  1033   ////if (FLAGS_cld2_html) {fprintf(stderr, "<br>\n");}
  1037 // Move all the text bytes from lower byte-count to higher one
  1038 void MoveLang1ToLang2(Language lang1, Language lang2,
  1039                       int lang1_sub, int lang2_sub,
  1040                       DocTote* doc_tote,
  1041                       ResultChunkVector* resultchunkvector) {
  1042   // In doc_tote, move all the bytes lang1 => lang2
  1043   int sum = doc_tote->Value(lang2_sub) + doc_tote->Value(lang1_sub);
  1044   doc_tote->SetValue(lang2_sub, sum);
  1045   sum = doc_tote->Score(lang2_sub) + doc_tote->Score(lang1_sub);
  1046   doc_tote->SetScore(lang2_sub, sum);
  1047   sum = doc_tote->Reliability(lang2_sub) + doc_tote->Reliability(lang1_sub);
  1048   doc_tote->SetReliability(lang2_sub, sum);
  1050   // Delete old entry
  1051   doc_tote->SetKey(lang1_sub, DocTote::kUnusedKey);
  1052   doc_tote->SetScore(lang1_sub, 0);
  1053   doc_tote->SetReliability(lang1_sub, 0);
  1055   // In resultchunkvector, move all the bytes lang1 => lang2
  1056   if (resultchunkvector == NULL) {return;}
  1058   int k = 0;
  1059   uint16 prior_lang = UNKNOWN_LANGUAGE;
  1060   for (int i = 0; i < static_cast<int>(resultchunkvector->size()); ++i) {
  1061     ResultChunk* rc = &(*resultchunkvector)[i];
  1062     if (rc->lang1 == lang1) {
  1063       // Update entry[i] lang1 => lang2
  1064       rc->lang1 = lang2;
  1066     // One change may produce two merges -- entry before and entry after
  1067     if ((rc->lang1 == prior_lang) && (k > 0)) {
  1068       // Merge with previous, deleting entry[i]
  1069       ResultChunk* prior_rc = &(*resultchunkvector)[k - 1];
  1070       prior_rc->bytes += rc->bytes;
  1071       // fprintf(stderr, "MoveLang1ToLang2 merged [%d] => [%d]<br>\n", i, k-1);
  1072     } else {
  1073       // Keep entry[i]
  1074       (*resultchunkvector)[k] = (*resultchunkvector)[i];
  1075       // fprintf(stderr, "MoveLang1ToLang2 keep [%d] => [%d]<br>\n", i, k);
  1076       ++k;
  1078     prior_lang = rc->lang1;
  1080   resultchunkvector->resize(k);
  1085 // Move less likely byte count to more likely for close pairs of languages
  1086 // If given, also update resultchunkvector
  1087 void RefineScoredClosePairs(DocTote* doc_tote,
  1088                             ResultChunkVector* resultchunkvector,
  1089                             bool FLAGS_cld2_html, bool FLAGS_cld2_quiet) {
  1090   for (int sub = 0; sub < doc_tote->MaxSize(); ++sub) {
  1091     int close_packedlang = doc_tote->Key(sub);
  1092     int subscr = LanguageCloseSet(static_cast<Language>(close_packedlang));
  1093     if (subscr == 0) {continue;}
  1095     // We have a close pair language -- if the other one is also scored and the
  1096     // longword score differs enough, put all our eggs into one basket
  1098     // Nonzero longword score: Go look for the other of this pair
  1099     for (int sub2 = sub + 1; sub2 < doc_tote->MaxSize(); ++sub2) {
  1100       if (LanguageCloseSet(static_cast<Language>(doc_tote->Key(sub2))) == subscr) {
  1101         // We have a matching pair
  1102         int close_packedlang2 = doc_tote->Key(sub2);
  1104         // Move all the text bytes from lower byte-count to higher one
  1105         int from_sub, to_sub;
  1106         Language from_lang, to_lang;
  1107         if (doc_tote->Value(sub) < doc_tote->Value(sub2)) {
  1108           from_sub = sub;
  1109           to_sub = sub2;
  1110           from_lang = static_cast<Language>(close_packedlang);
  1111           to_lang = static_cast<Language>(close_packedlang2);
  1112         } else {
  1113           from_sub = sub2;
  1114           to_sub = sub;
  1115           from_lang = static_cast<Language>(close_packedlang2);
  1116           to_lang = static_cast<Language>(close_packedlang);
  1119         if ((FLAGS_cld2_html || FLAGS_dbgscore) && !FLAGS_cld2_quiet) {
  1120           // Show fate of closepair language
  1121           int val = doc_tote->Value(from_sub);           // byte count
  1122           int reli = doc_tote->Reliability(from_sub);
  1123           int reliable_percent = reli / (val ? val : 1);  // avoid zdiv
  1124           fprintf(stderr, "{CloseLangPair: %s.%dR,%dB => %s}<br>\n",
  1125                   LanguageCode(from_lang),
  1126                   reliable_percent,
  1127                   doc_tote->Value(from_sub),
  1128                   LanguageCode(to_lang));
  1130         MoveLang1ToLang2(from_lang, to_lang, from_sub, to_sub,
  1131                          doc_tote, resultchunkvector);
  1132         break;    // Exit inner for sub2 loop
  1134     }     // End for sub2
  1135   }   // End for sub
  1139 void ApplyAllLanguageHints(Tote* chunk_tote, int tote_grams,
  1140                         uint8* lang_hint_boost) {
  1144 void PrintHtmlEscapedText(FILE* f, const char* txt, int len) {
  1145    string temp(txt, len);
  1146    fprintf(f, "%s", GetHtmlEscapedText(temp).c_str());
  1149 void PrintLang(FILE* f, Tote* chunk_tote,
  1150               Language cur_lang, bool cur_unreliable,
  1151               Language prior_lang, bool prior_unreliable) {
  1152   if (cur_lang == prior_lang) {
  1153     fprintf(f, "[]");
  1154   } else {
  1155     fprintf(f, "[%s%s]", LanguageCode(cur_lang), cur_unreliable ? "*" : "");
  1160 void PrintTopLang(Language top_lang) {
  1161   if ((top_lang == prior_lang) && (top_lang != UNKNOWN_LANGUAGE)) {
  1162     fprintf(stderr, "[] ");
  1163   } else {
  1164     fprintf(stderr, "[%s] ", LanguageName(top_lang));
  1165     prior_lang = top_lang;
  1169 void PrintTopLangSpeculative(Language top_lang) {
  1170   fprintf(stderr, "<span style=\"color:#%06X;\">", 0xa0a0a0);
  1171   if ((top_lang == prior_lang) && (top_lang != UNKNOWN_LANGUAGE)) {
  1172     fprintf(stderr, "[] ");
  1173   } else {
  1174     fprintf(stderr, "[%s] ", LanguageName(top_lang));
  1175     prior_lang = top_lang;
  1177   fprintf(stderr, "</span>\n");
  1180 void PrintLangs(FILE* f, const Language* language3, const int* percent3,
  1181                 const int* text_bytes, const bool* is_reliable) {
  1182   fprintf(f, "<br>&nbsp;&nbsp;Initial_Languages ");
  1183   if (language3[0] != UNKNOWN_LANGUAGE) {
  1184     fprintf(f, "%s%s(%d%%)  ",
  1185             LanguageName(language3[0]),
  1186             *is_reliable ? "" : "*",
  1187             percent3[0]);
  1189   if (language3[1] != UNKNOWN_LANGUAGE) {
  1190     fprintf(f, "%s(%d%%)  ", LanguageName(language3[1]), percent3[1]);
  1192   if (language3[2] != UNKNOWN_LANGUAGE) {
  1193     fprintf(f, "%s(%d%%)  ", LanguageName(language3[2]), percent3[2]);
  1195   fprintf(f, "%d bytes \n", *text_bytes);
  1197   fprintf(f, "<br>\n");
  1201 // Return internal probability score (sum) per 1024 bytes
  1202 double GetNormalizedScore(Language lang, ULScript ulscript,
  1203                           int bytecount, int score) {
  1204   if (bytecount <= 0) {return 0.0;}
  1205   return (score << 10) / bytecount;
  1208 // Extract return values before fixups
  1209 void ExtractLangEtc(DocTote* doc_tote, int total_text_bytes,
  1210                     int* reliable_percent3, Language* language3, int* percent3,
  1211                     double*  normalized_score3,
  1212                     int* text_bytes, bool* is_reliable) {
  1213   reliable_percent3[0] = 0;
  1214   reliable_percent3[1] = 0;
  1215   reliable_percent3[2] = 0;
  1216   language3[0] = UNKNOWN_LANGUAGE;
  1217   language3[1] = UNKNOWN_LANGUAGE;
  1218   language3[2] = UNKNOWN_LANGUAGE;
  1219   percent3[0] = 0;
  1220   percent3[1] = 0;
  1221   percent3[2] = 0;
  1222   normalized_score3[0] = 0.0;
  1223   normalized_score3[1] = 0.0;
  1224   normalized_score3[2] = 0.0;
  1226   *text_bytes = total_text_bytes;
  1227   *is_reliable = false;
  1229   int bytecount1 = 0;
  1230   int bytecount2 = 0;
  1231   int bytecount3 = 0;
  1233   int lang1 = doc_tote->Key(0);
  1234   if ((lang1 != DocTote::kUnusedKey) && (lang1 != UNKNOWN_LANGUAGE)) {
  1235     // We have a top language
  1236     language3[0] = static_cast<Language>(lang1);
  1237     bytecount1 = doc_tote->Value(0);
  1238     int reli1 = doc_tote->Reliability(0);
  1239     reliable_percent3[0] = reli1 / (bytecount1 ? bytecount1 : 1);  // avoid zdiv
  1240     normalized_score3[0] = GetNormalizedScore(language3[0],
  1241                                                   ULScript_Common,
  1242                                                   bytecount1,
  1243                                                   doc_tote->Score(0));
  1246   int lang2 = doc_tote->Key(1);
  1247   if ((lang2 != DocTote::kUnusedKey) && (lang2 != UNKNOWN_LANGUAGE)) {
  1248     language3[1] = static_cast<Language>(lang2);
  1249     bytecount2 = doc_tote->Value(1);
  1250     int reli2 = doc_tote->Reliability(1);
  1251     reliable_percent3[1] = reli2 / (bytecount2 ? bytecount2 : 1);  // avoid zdiv
  1252     normalized_score3[1] = GetNormalizedScore(language3[1],
  1253                                                   ULScript_Common,
  1254                                                   bytecount2,
  1255                                                   doc_tote->Score(1));
  1258   int lang3 = doc_tote->Key(2);
  1259   if ((lang3 != DocTote::kUnusedKey) && (lang3 != UNKNOWN_LANGUAGE)) {
  1260     language3[2] = static_cast<Language>(lang3);
  1261     bytecount3 = doc_tote->Value(2);
  1262     int reli3 = doc_tote->Reliability(2);
  1263     reliable_percent3[2] = reli3 / (bytecount3 ? bytecount3 : 1);  // avoid zdiv
  1264     normalized_score3[2] = GetNormalizedScore(language3[2],
  1265                                                   ULScript_Common,
  1266                                                   bytecount3,
  1267                                                   doc_tote->Score(2));
  1270   // Increase total bytes to sum (top 3) if low for some reason
  1271   int total_bytecount12 = bytecount1 + bytecount2;
  1272   int total_bytecount123 = total_bytecount12 + bytecount3;
  1273   if (total_text_bytes < total_bytecount123) {
  1274     total_text_bytes = total_bytecount123;
  1275     *text_bytes = total_text_bytes;
  1278   // Sum minus previous % gives better roundoff behavior than bytecount/total
  1279   int total_text_bytes_div = maxint(1, total_text_bytes);    // Avoid zdiv
  1280   percent3[0] = (bytecount1 * 100) / total_text_bytes_div;
  1281   percent3[1] = (total_bytecount12 * 100) / total_text_bytes_div;
  1282   percent3[2] = (total_bytecount123 * 100) / total_text_bytes_div;
  1283   percent3[2] -= percent3[1];
  1284   percent3[1] -= percent3[0];
  1286   // Roundoff, say 96% 1.6% 1.4%, will produce non-obvious 96% 1% 2%
  1287   // Fix this explicitly
  1288   if (percent3[1] < percent3[2]) {
  1289     ++percent3[1];
  1290     --percent3[2];
  1292   if (percent3[0] < percent3[1]) {
  1293     ++percent3[0];
  1294     --percent3[1];
  1297   *text_bytes = total_text_bytes;
  1299   if ((lang1 != DocTote::kUnusedKey) && (lang1 != UNKNOWN_LANGUAGE)) {
  1300     // We have a top language
  1301     // Its reliability is overall result reliability
  1302     int bytecount = doc_tote->Value(0);
  1303     int reli = doc_tote->Reliability(0);
  1304     int reliable_percent = reli / (bytecount ? bytecount : 1);  // avoid zdiv
  1305     *is_reliable = (reliable_percent >= kMinReliableKeepPercent);
  1306   } else {
  1307     // No top language at all. This can happen with zero text or 100% Klingon
  1308     // if extended=false. Just return all UNKNOWN_LANGUAGE, unreliable.
  1309     *is_reliable = false;
  1312   // If ignore percent is too large, set unreliable.
  1313   int ignore_percent = 100 - (percent3[0] + percent3[1] + percent3[2]);
  1314   if ((ignore_percent > kIgnoreMaxPercent)) {
  1315     *is_reliable = false;
  1319 bool IsFIGS(Language lang) {
  1320   if (lang == FRENCH) {return true;}
  1321   if (lang == ITALIAN) {return true;}
  1322   if (lang == GERMAN) {return true;}
  1323   if (lang == SPANISH) {return true;}
  1324   return false;
  1327 bool IsEFIGS(Language lang) {
  1328   if (lang == ENGLISH) {return true;}
  1329   if (lang == FRENCH) {return true;}
  1330   if (lang == ITALIAN) {return true;}
  1331   if (lang == GERMAN) {return true;}
  1332   if (lang == SPANISH) {return true;}
  1333   return false;
  1336 // For Tier3 languages, require more bytes of text to override
  1337 // the first-place language
  1338 static const int kGoodSecondT1T2MinBytes = 15;        // <this => no second
  1339 static const int kGoodSecondT3MinBytes = 128;         // <this => no second
  1341 // Calculate a single summary language for the document, and its reliability.
  1342 // Returns language3[0] or language3[1] or ENGLISH or UNKNOWN_LANGUAGE
  1343 // This is the heart of matching human-rater perception.
  1344 // reliable_percent3[] is currently unused
  1345 //
  1346 // Do not return Tier3 second language unless there are at least 128 bytes
  1347 void CalcSummaryLang(DocTote* doc_tote, int total_text_bytes,
  1348                      const int* reliable_percent3,
  1349                      const Language* language3,
  1350                      const int* percent3,
  1351                      Language* summary_lang, bool* is_reliable,
  1352                      bool FLAGS_cld2_html, bool FLAGS_cld2_quiet) {
  1353   // Vector of active languages; changes if we delete some
  1354   int slot_count = 3;
  1355   int active_slot[3] = {0, 1, 2};
  1357   int ignore_percent = 0;
  1358   int return_percent = percent3[0];   // Default to top lang
  1359   *summary_lang = language3[0];
  1360   *is_reliable = true;
  1361   if (percent3[0] < kKeepMinPercent) {*is_reliable = false;}
  1363   // If any of top 3 is IGNORE, remove it and increment ignore_percent
  1364   for (int i = 0; i < 3; ++i) {
  1365     if (language3[i] == TG_UNKNOWN_LANGUAGE) {
  1366       ignore_percent += percent3[i];
  1367       // Move the rest up, levaing input vectors unchanged
  1368       for (int j=i+1; j < 3; ++j) {
  1369         active_slot[j - 1] = active_slot[j];
  1371       -- slot_count;
  1372       // Logically remove Ignore from percentage-text calculation
  1373       // (extra 1 in 101 avoids zdiv, biases slightly small)
  1374       return_percent = (percent3[0] * 100) / (101 - ignore_percent);
  1375       *summary_lang = language3[active_slot[0]];
  1376       if (percent3[active_slot[0]] < kKeepMinPercent) {*is_reliable = false;}
  1381   // If English and X, where X (not UNK) is big enough,
  1382   // assume the English is boilerplate and return X.
  1383   // Logically remove English from percentage-text calculation
  1384   int second_bytes = (total_text_bytes * percent3[active_slot[1]]) / 100;
  1385   // Require more bytes of text for Tier3 languages
  1386   int minbytesneeded = kGoodSecondT1T2MinBytes;
  1387   int plang_second = PerScriptNumber(ULScript_Latin, language3[active_slot[1]]);
  1389   if ((language3[active_slot[0]] == ENGLISH) &&
  1390       (language3[active_slot[1]] != ENGLISH) &&
  1391       (language3[active_slot[1]] != UNKNOWN_LANGUAGE) &&
  1392       (percent3[active_slot[1]] >= kNonEnBoilerplateMinPercent) &&
  1393       (second_bytes >= minbytesneeded)) {
  1394     ignore_percent += percent3[active_slot[0]];
  1395     return_percent = (percent3[active_slot[1]] * 100) / (101 - ignore_percent);
  1396     *summary_lang = language3[active_slot[1]];
  1397     if (percent3[active_slot[1]] < kKeepMinPercent) {*is_reliable = false;}
  1399   // Else If FIGS and X, where X (not UNK, EFIGS) is big enough,
  1400   // assume the FIGS is boilerplate and return X.
  1401   // Logically remove FIGS from percentage-text calculation
  1402   } else if (IsFIGS(language3[active_slot[0]]) &&
  1403              !IsEFIGS(language3[active_slot[1]]) &&
  1404              (language3[active_slot[1]] != UNKNOWN_LANGUAGE) &&
  1405              (percent3[active_slot[1]] >= kNonFIGSBoilerplateMinPercent) &&
  1406              (second_bytes >= minbytesneeded)) {
  1407     ignore_percent += percent3[active_slot[0]];
  1408     return_percent = (percent3[active_slot[1]] * 100) / (101 - ignore_percent);
  1409     *summary_lang = language3[active_slot[1]];
  1410     if (percent3[active_slot[1]] < kKeepMinPercent) {*is_reliable = false;}
  1412   // Else we are returning the first language, but want to improve its
  1413   // return_percent if the second language should be ignored
  1414   } else  if ((language3[active_slot[1]] == ENGLISH) &&
  1415               (language3[active_slot[0]] != ENGLISH)) {
  1416     ignore_percent += percent3[active_slot[1]];
  1417     return_percent = (percent3[active_slot[0]] * 100) / (101 - ignore_percent);
  1418   } else  if (IsFIGS(language3[active_slot[1]]) &&
  1419               !IsEFIGS(language3[active_slot[0]])) {
  1420     ignore_percent += percent3[active_slot[1]];
  1421     return_percent = (percent3[active_slot[0]] * 100) / (101 - ignore_percent);
  1424   // If return percent is too small (too many languages), return UNKNOWN
  1425   if ((return_percent < kGoodFirstMinPercent)) {
  1426     if (FLAGS_cld2_html && !FLAGS_cld2_quiet) {
  1427       fprintf(stderr, "{Unreli %s %d%% percent too small} ",
  1428               LanguageCode(*summary_lang), return_percent);
  1430     *summary_lang = UNKNOWN_LANGUAGE;
  1431     *is_reliable = false;
  1434   // If return percent is small, return language but set unreliable.
  1435   if ((return_percent < kGoodFirstReliableMinPercent)) {
  1436     *is_reliable = false;
  1439   // If ignore percent is too large, set unreliable.
  1440   ignore_percent = 100 - (percent3[0] + percent3[1] + percent3[2]);
  1441   if ((ignore_percent > kIgnoreMaxPercent)) {
  1442     *is_reliable = false;
  1445   // If we removed all the active languages, return UNKNOWN
  1446   if (slot_count == 0) {
  1447     if (FLAGS_cld2_html && !FLAGS_cld2_quiet) {
  1448       fprintf(stderr, "{Unreli %s no languages left} ",
  1449               LanguageCode(*summary_lang));
  1451     *summary_lang = UNKNOWN_LANGUAGE;
  1452     *is_reliable = false;
  1456 void AddLangPriorBoost(Language lang, uint32 langprob,
  1457                        ScoringContext* scoringcontext) {
  1458   // This is called 0..n times with language hints
  1459   // but we don't know the script -- so boost either or both Latn, Othr.
  1461   if (IsLatnLanguage(lang)) {
  1462     LangBoosts* langprior_boost = &scoringcontext->langprior_boost.latn;
  1463     int n = langprior_boost->n;
  1464     langprior_boost->langprob[n] = langprob;
  1465     langprior_boost->n = langprior_boost->wrap(n + 1);
  1468   if (IsOthrLanguage(lang)) {
  1469     LangBoosts* langprior_boost = &scoringcontext->langprior_boost.othr;
  1470     int n = langprior_boost->n;
  1471     langprior_boost->langprob[n] = langprob;
  1472     langprior_boost->n = langprior_boost->wrap(n + 1);
  1477 void AddOneWhack(Language whacker_lang, Language whackee_lang,
  1478                  ScoringContext* scoringcontext) {
  1479   uint32 langprob = MakeLangProb(whackee_lang, 1);
  1480   // This logic avoids hr-Latn whacking sr-Cyrl, but still whacks sr-Latn
  1481   if (IsLatnLanguage(whacker_lang) && IsLatnLanguage(whackee_lang)) {
  1482     LangBoosts* langprior_whack = &scoringcontext->langprior_whack.latn;
  1483     int n = langprior_whack->n;
  1484     langprior_whack->langprob[n] = langprob;
  1485     langprior_whack->n = langprior_whack->wrap(n + 1);
  1487   if (IsOthrLanguage(whacker_lang) && IsOthrLanguage(whackee_lang)) {
  1488     LangBoosts* langprior_whack = &scoringcontext->langprior_whack.othr;
  1489     int n = langprior_whack->n;
  1490     langprior_whack->langprob[n] = langprob;
  1491     langprior_whack->n = langprior_whack->wrap(n + 1);
  1495 void AddCloseLangWhack(Language lang, ScoringContext* scoringcontext) {
  1496   // We do not in general want zh-Hans and zh-Hant to be close pairs,
  1497   // but we do here.
  1498   if (lang == CLD2::CHINESE) {
  1499     AddOneWhack(lang, CLD2::CHINESE_T, scoringcontext);
  1500     return;
  1502   if (lang == CLD2::CHINESE_T) {
  1503     AddOneWhack(lang, CLD2::CHINESE, scoringcontext);
  1504     return;
  1507   int base_lang_set = LanguageCloseSet(lang);
  1508   if (base_lang_set == 0) {return;}
  1509   // TODO: add an explicit list of each set to avoid this 512-times loop
  1510   for (int i = 0; i < kLanguageToPLangSize; ++i) {
  1511     Language lang2 = static_cast<Language>(i);
  1512     if ((base_lang_set == LanguageCloseSet(lang2)) && (lang != lang2)) {
  1513       AddOneWhack(lang, lang2, scoringcontext);
  1519 void ApplyHints(const char* buffer,
  1520                 int buffer_length,
  1521                 bool is_plain_text,
  1522                 const CLDHints* cld_hints,
  1523                 ScoringContext* scoringcontext) {
  1524   CLDLangPriors lang_priors;
  1525   InitCLDLangPriors(&lang_priors);
  1527   // We now use lang= tags.
  1528   // Last look, circa 2008 found only 15% of web pages with lang= tags and
  1529   // many of those were wrong. Now (July 2011), we find 44% of web pages have
  1530   // lang= tags, and most of them are correct. So we now give them substantial
  1531   // weight in each chunk scored.
  1532   if (!is_plain_text) {
  1533     // Get any contained language tags in first n KB
  1534     int32 max_scan_bytes = FLAGS_cld_max_lang_tag_scan_kb << 10;
  1535     string lang_tags = GetLangTagsFromHtml(buffer, buffer_length,
  1536                                            max_scan_bytes);
  1537     SetCLDLangTagsHint(lang_tags, &lang_priors);
  1538     if (scoringcontext->flags_cld2_html) {
  1539       if (!lang_tags.empty()) {
  1540         fprintf(scoringcontext->debug_file, "<br>lang_tags '%s'<br>\n",
  1541                 lang_tags.c_str());
  1546   if (cld_hints != NULL) {
  1547     if ((cld_hints->content_language_hint != NULL) &&
  1548         (cld_hints->content_language_hint[0] != '\0')) {
  1549       SetCLDContentLangHint(cld_hints->content_language_hint, &lang_priors);
  1552     // Input is from GetTLD(), already lowercased
  1553     if ((cld_hints->tld_hint != NULL) && (cld_hints->tld_hint[0] != '\0')) {
  1554       SetCLDTLDHint(cld_hints->tld_hint, &lang_priors);
  1557     if (cld_hints->encoding_hint != UNKNOWN_ENCODING) {
  1558       Encoding enc = static_cast<Encoding>(cld_hints->encoding_hint);
  1559       SetCLDEncodingHint(enc, &lang_priors);
  1562     if (cld_hints->language_hint != UNKNOWN_LANGUAGE) {
  1563       SetCLDLanguageHint(cld_hints->language_hint, &lang_priors);
  1567   // Keep no more than four different languages with hints
  1568   TrimCLDLangPriors(4, &lang_priors);
  1570   if (scoringcontext->flags_cld2_html) {
  1571     string print_temp = DumpCLDLangPriors(&lang_priors);
  1572     if (!print_temp.empty()) {
  1573       fprintf(scoringcontext->debug_file, "DumpCLDLangPriors %s<br>\n",
  1574               print_temp.c_str());
  1578   // Put boosts into ScoringContext
  1579   for (int i = 0; i < GetCLDLangPriorCount(&lang_priors); ++i) {
  1580     Language lang = GetCLDPriorLang(lang_priors.prior[i]);
  1581     int qprob = GetCLDPriorWeight(lang_priors.prior[i]);
  1582     if (qprob > 0) {
  1583       uint32 langprob = MakeLangProb(lang, qprob);
  1584       AddLangPriorBoost(lang, langprob, scoringcontext);
  1588   // Put whacks into scoring context
  1589   // We do not in general want zh-Hans and zh-Hant to be close pairs,
  1590   // but we do here. Use close_set_count[kCloseSetSize] to count zh, zh-Hant
  1591   std::vector<int> close_set_count(kCloseSetSize + 1, 0);
  1593   for (int i = 0; i < GetCLDLangPriorCount(&lang_priors); ++i) {
  1594     Language lang = GetCLDPriorLang(lang_priors.prior[i]);
  1595     ++close_set_count[LanguageCloseSet(lang)];
  1596     if (lang == CLD2::CHINESE) {++close_set_count[kCloseSetSize];}
  1597     if (lang == CLD2::CHINESE_T) {++close_set_count[kCloseSetSize];}
  1600   // If a boost language is in a close set, force suppressing the others in
  1601   // that set, if exactly one of the set is present
  1602   for (int i = 0; i < GetCLDLangPriorCount(&lang_priors); ++i) {
  1603     Language lang = GetCLDPriorLang(lang_priors.prior[i]);
  1604     int qprob = GetCLDPriorWeight(lang_priors.prior[i]);
  1605     if (qprob > 0) {
  1606       int close_set = LanguageCloseSet(lang);
  1607       if ((close_set > 0) && (close_set_count[close_set] == 1)) {
  1608         AddCloseLangWhack(lang, scoringcontext);
  1610       if (((lang == CLD2::CHINESE) || (lang == CLD2::CHINESE_T)) &&
  1611           (close_set_count[kCloseSetSize] == 1)) {
  1612         AddCloseLangWhack(lang, scoringcontext);
  1626 // Results language3/percent3/text_bytes must be exactly three items
  1627 Language DetectLanguageSummaryV2(
  1628                         const char* buffer,
  1629                         int buffer_length,
  1630                         bool is_plain_text,
  1631                         const CLDHints* cld_hints,
  1632                         bool allow_extended_lang,
  1633                         int flags,
  1634                         Language plus_one,
  1635                         Language* language3,
  1636                         int* percent3,
  1637                         double* normalized_score3,
  1638                         ResultChunkVector* resultchunkvector,
  1639                         int* text_bytes,
  1640                         bool* is_reliable) {
  1641   language3[0] = UNKNOWN_LANGUAGE;
  1642   language3[1] = UNKNOWN_LANGUAGE;
  1643   language3[2] = UNKNOWN_LANGUAGE;
  1644   percent3[0] = 0;
  1645   percent3[1] = 0;
  1646   percent3[2] = 0;
  1647   normalized_score3[0] = 0.0;
  1648   normalized_score3[1] = 0.0;
  1649   normalized_score3[2] = 0.0;
  1650   if (resultchunkvector != NULL) {
  1651     resultchunkvector->clear();
  1653   *text_bytes = 0;
  1654   *is_reliable = false;
  1656   if ((flags & kCLDFlagEcho) != 0) {
  1657      string temp(buffer, buffer_length);
  1658      if ((flags & kCLDFlagHtml) != 0) {
  1659         fprintf(stderr, "CLD2[%d] '%s'<br>\n",
  1660                 buffer_length, GetHtmlEscapedText(temp).c_str());
  1661      } else {
  1662         fprintf(stderr, "CLD2[%d] '%s'\n",
  1663                 buffer_length, GetPlainEscapedText(temp).c_str());
  1667 #ifdef CLD2_DYNAMIC_MODE
  1668   // In dynamic mode, we immediately return UNKNOWN_LANGUAGE if the data file
  1669   // hasn't been loaded yet. This is the only sane thing we can do, as there
  1670   // are no scoring tables to consult.
  1671   bool dataLoaded = isDataLoaded();
  1672   if ((flags & kCLDFlagVerbose) != 0) {
  1673     fprintf(stderr, "Data loaded: %s\n", (dataLoaded ? "true" : "false"));
  1675   if (!dataLoaded) {
  1676     return UNKNOWN_LANGUAGE;
  1678 #endif
  1680   // Exit now if no text
  1681   if (buffer_length == 0) {return UNKNOWN_LANGUAGE;}
  1682   if (kScoringtables.quadgram_obj == NULL) {return UNKNOWN_LANGUAGE;}
  1684   // Document totals
  1685   DocTote doc_tote;   // Reliability = 0..100
  1687   // ScoringContext carries state across scriptspans
  1688   ScoringContext scoringcontext;
  1689   scoringcontext.debug_file = stderr;
  1690   scoringcontext.flags_cld2_score_as_quads =
  1691     ((flags & kCLDFlagScoreAsQuads) != 0);
  1692   scoringcontext.flags_cld2_html = ((flags & kCLDFlagHtml) != 0);
  1693   scoringcontext.flags_cld2_cr = ((flags & kCLDFlagCr) != 0);
  1694   scoringcontext.flags_cld2_verbose = ((flags & kCLDFlagVerbose) != 0);
  1695   scoringcontext.prior_chunk_lang = UNKNOWN_LANGUAGE;
  1696   scoringcontext.ulscript = ULScript_Common;
  1697   scoringcontext.scoringtables = &kScoringtables;
  1698   scoringcontext.scanner = NULL;
  1699   scoringcontext.init();            // Clear the internal memory arrays
  1701   // Now thread safe.
  1702   bool FLAGS_cld2_html = ((flags & kCLDFlagHtml) != 0);
  1703   bool FLAGS_cld2_quiet = ((flags & kCLDFlagQuiet) != 0);
  1705   ApplyHints(buffer, buffer_length, is_plain_text, cld_hints, &scoringcontext);
  1707   // Four individual script totals, Latin, Han, other2, other3
  1708   int next_other_tote = 2;
  1709   int tote_num = 0;
  1711   // Four totes for up to four different scripts pending at once
  1712   Tote totes[4];                  // [0] Latn  [1] Hani  [2] other  [3] other
  1713   bool tote_seen[4] = {false, false, false, false};
  1714   int tote_grams[4] = {0, 0, 0, 0};     // Number in partial chunk
  1715   ULScript tote_script[4] =
  1716     {ULScript_Latin, ULScript_Hani, ULScript_Common, ULScript_Common};
  1718   // Loop through text spans in a single script
  1719   ScriptScanner ss(buffer, buffer_length, is_plain_text);
  1720   LangSpan scriptspan;
  1722   scoringcontext.scanner = &ss;
  1724   scriptspan.text = NULL;
  1725   scriptspan.text_bytes = 0;
  1726   scriptspan.offset = 0;
  1727   scriptspan.ulscript = ULScript_Common;
  1728   scriptspan.lang = UNKNOWN_LANGUAGE;
  1730   int total_text_bytes = 0;
  1731   int textlimit = FLAGS_cld_textlimit << 10;    // in KB
  1732   if (textlimit == 0) {textlimit = 0x7fffffff;}
  1734   int advance_by = 2;                   // Advance 2 bytes
  1735   int advance_limit = textlimit >> 3;   // For first 1/8 of max document
  1737   int initial_word_span = kDefaultWordSpan;
  1738   if (FLAGS_cld_forcewords) {
  1739     initial_word_span = kReallyBigWordSpan;
  1742   // Pick up chunk sizes
  1743   // Smoothwidth is units of quadgrams, about 2.5 chars (unigrams) each
  1744   // Sanity check -- force into a reasonable range
  1745   int chunksizequads = FLAGS_cld_smoothwidth;
  1746   chunksizequads = minint(maxint(chunksizequads, kMinChunkSizeQuads),
  1747                                kMaxChunkSizeQuads);
  1748   int chunksizeunis = (chunksizequads * 5) >> 1;
  1750   // Varying short-span limit doesn't work well -- skips too much beyond 20KB
  1751   // int spantooshortlimit = advance_by * FLAGS_cld_smoothwidth;
  1752   int spantooshortlimit = kShortSpanThresh;
  1754   // For debugging only. Not thread-safe
  1755   prior_lang = UNKNOWN_LANGUAGE;
  1756   prior_unreliable = false;
  1758   // Allocate full-document prediction table for finding repeating words
  1759   int hash = 0;
  1760   int* predict_tbl = new int[kPredictionTableSize];
  1761   if (FlagRepeats(flags)) {
  1762     memset(predict_tbl, 0, kPredictionTableSize * sizeof(predict_tbl[0]));
  1767   // Loop through scriptspans accumulating number of text bytes in each language
  1768   while (ss.GetOneScriptSpanLower(&scriptspan)) {
  1769     ULScript ulscript = scriptspan.ulscript;
  1771     // Squeeze out big chunks of text span if asked to
  1772     if (FlagSqueeze(flags)) {
  1773       // Remove repetitive or mostly-spaces chunks
  1774       int newlen;
  1775       int chunksize = 0;    // Use the default
  1776       if (resultchunkvector != NULL) {
  1777          newlen = CheapSqueezeInplaceOverwrite(scriptspan.text,
  1778                                                scriptspan.text_bytes,
  1779                                                chunksize);
  1780       } else {
  1781          newlen = CheapSqueezeInplace(scriptspan.text, scriptspan.text_bytes,
  1782                                       chunksize);
  1784       scriptspan.text_bytes = newlen;
  1785     } else {
  1786       // Check now and then to see if we should be squeezing
  1787       if (((kCheapSqueezeTestThresh >> 1) < scriptspan.text_bytes) &&
  1788           !FlagFinish(flags)) {
  1789         // fprintf(stderr, "CheapSqueezeTriggerTest, "
  1790         //                 "first %d bytes of %d (>%d/2)<br>\n",
  1791         //         kCheapSqueezeTestLen,
  1792         //         scriptspan.text_bytes,
  1793         //         kCheapSqueezeTestThresh);
  1795         if (CheapSqueezeTriggerTest(scriptspan.text,
  1796                                       scriptspan.text_bytes,
  1797                                       kCheapSqueezeTestLen)) {
  1798           // Recursive call with big-chunk squeezing set
  1799           if (FLAGS_cld2_html || FLAGS_dbgscore) {
  1800             fprintf(stderr,
  1801                     "<br>---text_bytes[%d] Recursive(Squeeze)---<br><br>\n",
  1802                     total_text_bytes);
  1804           // Deallocate full-document prediction table
  1805           delete[] predict_tbl;
  1807           return DetectLanguageSummaryV2(
  1808                             buffer,
  1809                             buffer_length,
  1810                             is_plain_text,
  1811                             cld_hints,
  1812                             allow_extended_lang,
  1813                             flags | kCLDFlagSqueeze,
  1814                             plus_one,
  1815                             language3,
  1816                             percent3,
  1817                             normalized_score3,
  1818                             resultchunkvector,
  1819                             text_bytes,
  1820                             is_reliable);
  1825     // Remove repetitive words if asked to
  1826     if (FlagRepeats(flags)) {
  1827       // Remove repetitive words
  1828       int newlen;
  1829       if (resultchunkvector != NULL) {
  1830         newlen = CheapRepWordsInplaceOverwrite(scriptspan.text,
  1831                                                scriptspan.text_bytes,
  1832                                                &hash, predict_tbl);
  1833       } else {
  1834         newlen = CheapRepWordsInplace(scriptspan.text, scriptspan.text_bytes,
  1835                                       &hash, predict_tbl);
  1837       scriptspan.text_bytes = newlen;
  1840     // Scoring depends on scriptspan buffer ALWAYS having
  1841     // leading space and off-the-end space space space NUL,
  1842     // DCHECK(scriptspan.text[0] == ' ');
  1843     // DCHECK(scriptspan.text[scriptspan.text_bytes + 0] == ' ');
  1844     // DCHECK(scriptspan.text[scriptspan.text_bytes + 1] == ' ');
  1845     // DCHECK(scriptspan.text[scriptspan.text_bytes + 2] == ' ');
  1846     // DCHECK(scriptspan.text[scriptspan.text_bytes + 3] == '\0');
  1848     // The real scoring
  1849     // Accumulate directly into the document total, or accmulate in one of four
  1850     // chunk totals. The purpose of the multiple chunk totals is to piece
  1851     // together short choppy pieces of text in alternating scripts. One total is
  1852     // dedicated to Latin text, one to Han text, and the other two are dynamicly
  1853     // assigned.
  1855     scoringcontext.ulscript = scriptspan.ulscript;
  1856     // FLAGS_cld2_html = scoringcontext.flags_cld2_html;
  1858     ScoreOneScriptSpan(scriptspan,
  1859                        &scoringcontext,
  1860                        &doc_tote,
  1861                        resultchunkvector);
  1863     total_text_bytes += scriptspan.text_bytes;
  1864   }     // End while (ss.GetOneScriptSpanLower())
  1866   // Deallocate full-document prediction table
  1867   delete[] predict_tbl;
  1869   if (FLAGS_cld2_html && !FLAGS_cld2_quiet) {
  1870     // If no forced <cr>, put one in front of dump
  1871     if (!scoringcontext.flags_cld2_cr) {fprintf(stderr, "<br>\n");}
  1872     doc_tote.Dump(stderr);
  1876   // If extended langauges are disallowed, remove them here
  1877   if (!allow_extended_lang) {
  1878     RemoveExtendedLanguages(&doc_tote);
  1881   // Force close pairs to one or the other
  1882   // If given, also update resultchunkvector
  1883   RefineScoredClosePairs(&doc_tote, resultchunkvector,
  1884                          FLAGS_cld2_html, FLAGS_cld2_quiet);
  1887   // Calculate return results
  1888   // Find top three byte counts in tote heap
  1889   int reliable_percent3[3];
  1891   // Cannot use Add, etc. after sorting
  1892   doc_tote.Sort(3);
  1894   ExtractLangEtc(&doc_tote, total_text_bytes,
  1895                  reliable_percent3, language3, percent3, normalized_score3,
  1896                  text_bytes, is_reliable);
  1898   bool have_good_answer = false;
  1899   if (FlagFinish(flags)) {
  1900     // Force a result
  1901     have_good_answer = true;
  1902   } else if (total_text_bytes <= kShortTextThresh) {
  1903     // Don't recurse on short text -- we already did word scores
  1904     have_good_answer = true;
  1905   } else if (*is_reliable &&
  1906              (percent3[0] >= kGoodLang1Percent)) {
  1907     have_good_answer = true;
  1908   } else if (*is_reliable &&
  1909              ((percent3[0] + percent3[1]) >= kGoodLang1and2Percent)) {
  1910     have_good_answer = true;
  1914   if (have_good_answer) {
  1915     // This is the real, non-recursive return
  1917     // Move bytes for unreliable langs to another lang or UNKNOWN
  1918     RemoveUnreliableLanguages(&doc_tote, FLAGS_cld2_html, FLAGS_cld2_quiet);
  1920     // Redo the result extraction after the removal above
  1921     doc_tote.Sort(3);
  1922     ExtractLangEtc(&doc_tote, total_text_bytes,
  1923                    reliable_percent3, language3, percent3, normalized_score3,
  1924                    text_bytes, is_reliable);
  1928     Language summary_lang;
  1929     CalcSummaryLang(&doc_tote, total_text_bytes,
  1930                     reliable_percent3, language3, percent3,
  1931                     &summary_lang, is_reliable,
  1932                     FLAGS_cld2_html, FLAGS_cld2_quiet);
  1934     if (FLAGS_cld2_html && !FLAGS_cld2_quiet) {
  1935       for (int i = 0; i < 3; ++i) {
  1936         if (language3[i] != UNKNOWN_LANGUAGE) {
  1937           fprintf(stderr, "%s.%dR(%d%%) ",
  1938                   LanguageCode(language3[i]),
  1939                   reliable_percent3[i],
  1940                   percent3[i]);
  1944       fprintf(stderr, "%d bytes ", total_text_bytes);
  1945       fprintf(stderr, "= %s%c ",
  1946               LanguageName(summary_lang), *is_reliable ? ' ' : '*');
  1947       fprintf(stderr, "<br><br>\n");
  1950     // Slightly condensed if quiet
  1951     if (FLAGS_cld2_html && FLAGS_cld2_quiet) {
  1952       fprintf(stderr, "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; ");
  1953       for (int i = 0; i < 3; ++i) {
  1954         if (language3[i] != UNKNOWN_LANGUAGE) {
  1955           fprintf(stderr, "&nbsp;&nbsp;%s %d%% ",
  1956                   LanguageCode(language3[i]),
  1957                   percent3[i]);
  1960       fprintf(stderr, "= %s%c ",
  1961               LanguageName(summary_lang), *is_reliable ? ' ' : '*');
  1962       fprintf(stderr, "<br>\n");
  1965     return summary_lang;
  1968   // Not a good answer -- do recursive call to refine
  1969   if ((FLAGS_cld2_html || FLAGS_dbgscore) && !FLAGS_cld2_quiet) {
  1970     // This is what we hope to improve on in the recursive call, if any
  1971     PrintLangs(stderr, language3, percent3, text_bytes, is_reliable);
  1974   // For restriction to Top40 + one, the one is 1st/2nd lang that is not Top40
  1975   // For this purpose, we treate "Ignore" as top40
  1976   Language new_plus_one = UNKNOWN_LANGUAGE;
  1978   if (total_text_bytes < kShortTextThresh) {
  1979       // Short text: Recursive call with top40 and short set
  1980       if (FLAGS_cld2_html || FLAGS_dbgscore) {
  1981         fprintf(stderr, "&nbsp;&nbsp;---text_bytes[%d] "
  1982                 "Recursive(Top40/Rep/Short/Words)---<br><br>\n",
  1983                 total_text_bytes);
  1985       return DetectLanguageSummaryV2(
  1986                         buffer,
  1987                         buffer_length,
  1988                         is_plain_text,
  1989                         cld_hints,
  1990                         allow_extended_lang,
  1991                         flags | kCLDFlagTop40 | kCLDFlagRepeats |
  1992                           kCLDFlagShort | kCLDFlagUseWords | kCLDFlagFinish,
  1993                         new_plus_one,
  1994                         language3,
  1995                         percent3,
  1996                         normalized_score3,
  1997                         resultchunkvector,
  1998                         text_bytes,
  1999                         is_reliable);
  2002   // Longer text: Recursive call with top40 set
  2003   if (FLAGS_cld2_html || FLAGS_dbgscore) {
  2004     fprintf(stderr,
  2005             "&nbsp;&nbsp;---text_bytes[%d] Recursive(Top40/Rep)---<br><br>\n",
  2006             total_text_bytes);
  2008   return DetectLanguageSummaryV2(
  2009                         buffer,
  2010                         buffer_length,
  2011                         is_plain_text,
  2012                         cld_hints,
  2013                         allow_extended_lang,
  2014                         flags | kCLDFlagTop40 | kCLDFlagRepeats |
  2015                           kCLDFlagFinish,
  2016                         new_plus_one,
  2017                         language3,
  2018                         percent3,
  2019                         normalized_score3,
  2020                         resultchunkvector,
  2021                         text_bytes,
  2022                         is_reliable);
  2026 // For debugging and wrappers. Not thread safe.
  2027 static char temp_detectlanguageversion[32];
  2029 // Return version text string
  2030 // String is "code_version - data_build_date"
  2031 const char* DetectLanguageVersion() {
  2032   if (kScoringtables.quadgram_obj == NULL) {return "";}
  2033   sprintf(temp_detectlanguageversion,
  2034           "V2.0 - %u", kScoringtables.quadgram_obj->kCLDTableBuildDate);
  2035   return temp_detectlanguageversion;
  2039 }       // End namespace CLD2

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