Compare commits

...
36 Commits
Author SHA1 Message Date
Miroslav Stampar 6a57c8e61a Fixes #5113 2022-06-04 00:10:24 +02:00
Miroslav Stampar 7d07976969 Fixes #5096 2022-05-13 17:56:45 +02:00
Miroslav Stampar 9dc1344478 Patch for #5102 2022-05-13 17:50:14 +02:00
Miroslav Stampar e8e7d66356 Patch for #5105 2022-05-13 17:45:17 +02:00
Miroslav Stampar 2038512518 Fixes #5091 2022-05-09 15:15:06 +02:00
Miroslav Stampar 184454ba8e Fixes #5093 2022-05-09 14:54:28 +02:00
Miroslav Stampar aacb360d46 One patch related to #5087 2022-05-04 18:14:43 +02:00
Miroslav Stampar 5eaf1d2d27 Fixes #5076 2022-04-29 17:32:16 +02:00
Miroslav Stampar be987815c9 Patch for #5073 2022-04-21 15:03:22 +02:00
Miroslav Stampar fb3f428804 Fixes #5057 2022-04-07 17:12:36 +02:00
Miroslav Stampar 52f2faf2cf Fixes #5059 2022-04-06 22:41:12 +02:00
Miroslav Stampar d5fb92ee42 Minor update 2022-04-05 01:06:28 +02:00
Miroslav Stampar cd76f8863b Speeding up oracle_old_passwd if PyCrypto available 2022-04-05 01:00:02 +02:00
Miroslav Stampar 5b2c0f0d46 Trivial update 2022-04-05 00:12:09 +02:00
Miroslav Stampar 548d98e0af Minor style update 2022-03-31 23:22:51 +02:00
Jerry 68c2180c59 Added Dutch translation. (#5055)
* Added Dutch translation

* Fixed typo

* Consistency
2022-03-31 23:20:25 +02:00
Miroslav Stampar e2f48a9346 Implementing switch --no-logging (#4484) 2022-03-25 19:10:46 +01:00
Miroslav Stampar 582bb2fec9 Fixes #5039 2022-03-21 15:38:15 +01:00
Miroslav Stampar 9bdad4bcd5 Fixes #5040 2022-03-21 15:31:13 +01:00
Miroslav Stampar e1a04a8201 Fixes #5044 2022-03-21 14:33:48 +01:00
Miroslav Stampar 7149991faf Fixes #5042 2022-03-21 14:26:56 +01:00
yuya-okabe 32acb1e4ff fix: corrected text in japanese READ.ME (#5038)
The translation has been corrected to be natural from a Japanese point of view.
2022-03-21 14:11:47 +01:00
Miroslav Stampar e91b1a0f97 Fixes #5032 2022-03-15 21:52:05 +01:00
Miroslav Stampar 439d1cce67 Fixes #5031 2022-03-15 11:34:09 +01:00
Miroslav Stampar dcf304c65e Minor update related to #5030 2022-03-11 18:31:05 +01:00
Miroslav Stampar f5ed2c0c97 Fixes #4990 2022-03-08 00:51:14 +01:00
Miroslav Stampar dd55d97f77 Minor updates 2022-03-07 23:10:39 +01:00
Miroslav Stampar 445d69f678 Implementation for multipart/eval (#5021) 2022-03-07 22:05:00 +01:00
Miroslav Stampar 02ff0eef88 Fixes #5019 2022-03-07 20:25:34 +01:00
Miroslav Stampar acd5ef055a Minot improvement of JSON/eval (#5013) 2022-03-07 20:17:51 +01:00
Miroslav Stampar a2fcab448c Fixes #5018 2022-03-07 18:34:34 +01:00
Miroslav Stampar 0b775b6d1d Fix for json/eval bug (#5013) 2022-03-07 17:30:49 +01:00
Miroslav Stampar b1881129b6 Bug for JSON-like bug (#5013) 2022-03-07 15:12:29 +01:00
Miroslav Stampar acae6e3e7c Fix for cookie/eval bug (#5013) 2022-03-07 14:38:14 +01:00
Miroslav Stampar bacf18832a Update of 3rd party library chardet 2022-03-03 18:03:01 +01:00
Miroslav Stampar 75905e0cd9 Minor update of 3rd party bottle library 2022-03-03 17:55:50 +01:00
86 changed files with 2369 additions and 3063 deletions
+1
View File
@@ -55,6 +55,7 @@ Translations
* [Bulgarian](https://github.com/sqlmapproject/sqlmap/blob/master/doc/translations/README-bg-BG.md)
* [Chinese](https://github.com/sqlmapproject/sqlmap/blob/master/doc/translations/README-zh-CN.md)
* [Croatian](https://github.com/sqlmapproject/sqlmap/blob/master/doc/translations/README-hr-HR.md)
* [Dutch](https://github.com/sqlmapproject/sqlmap/blob/master/doc/translations/README-nl-NL.md)
* [French](https://github.com/sqlmapproject/sqlmap/blob/master/doc/translations/README-fr-FR.md)
* [German](https://github.com/sqlmapproject/sqlmap/blob/master/doc/translations/README-de-GER.md)
* [Greek](https://github.com/sqlmapproject/sqlmap/blob/master/doc/translations/README-gr-GR.md)
+1 -1
View File
@@ -1,6 +1,6 @@
<!DOCTYPE html>
<!-- http://angrytools.com/bootstrap/editor/ -->
<!-- https://angrytools.com/bootstrap/editor/ -->
<html lang="en">
<head>
+15 -3
View File
@@ -3,7 +3,7 @@
<!--
References:
* https://en.wikipedia.org/wiki/Internet_Information_Services
* http://distrowatch.com
* https://distrowatch.com
-->
<root>
@@ -97,6 +97,10 @@
<info type="Linux" distrib="CentOS" release="8"/>
</regexp>
<regexp value="Apache/2\.4\.48 \(CentOS\)">
<info type="Linux" distrib="CentOS" release="9"/>
</regexp>
<!-- Apache: Debian -->
<regexp value="Apache/1\.0\.5 \(Unix\) Debian/GNU">
@@ -444,8 +448,12 @@
<info type="FreeBSD" release="11.3"/>
</regexp>
<regexp value="Apache/2\.4\.51 \(FreeBSD\)">
<info type="FreeBSD" release="12.3"/>
</regexp>
<regexp value="Apache/2\.4\.46 \(FreeBSD\)">
<info type="FreeBSD" release="12.2"/>
<info type="FreeBSD" release="13.0"/>
</regexp>
<!-- Apache: Mandrake / Mandriva -->
@@ -764,7 +772,7 @@
</regexp>
<regexp value="Apache/2\.4\.43 \(Linux/SuSE\)">
<info type="Linux" distrib="SuSE" release="15.2"/>
<info type="Linux" distrib="SuSE" release="15.3"/>
</regexp>
<!-- Apache: Ubuntu -->
@@ -869,6 +877,10 @@
<info type="Linux" distrib="Ubuntu" release="19.10|20.04|20.10" codename="eoan|focal"/>
</regexp>
<regexp value="Apache/2\.4\.46 \(Ubuntu\)">
<info type="Linux" distrib="Ubuntu" release="21.04|21.10" codename="eoan|focal"/>
</regexp>
<!-- Nginx -->
<regexp value="nginx$">
+2 -2
View File
@@ -1,6 +1,6 @@
# sqlmap
# sqlmap ![](https://i.imgur.com/fe85aVR.png)
[![Build Status](https://api.travis-ci.org/sqlmapproject/sqlmap.svg?branch=master)](https://travis-ci.org/sqlmapproject/sqlmap) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![PyPI version](https://badge.fury.io/py/sqlmap.svg)](https://badge.fury.io/py/sqlmap) [![GitHub closed issues](https://img.shields.io/github/issues-closed-raw/sqlmapproject/sqlmap.svg?colorB=ff69b4)](https://github.com/sqlmapproject/sqlmap/issues?q=is%3Aissue+is%3Aclosed) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
[![.github/workflows/tests.yml](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml/badge.svg)](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
sqlmap e инструмент за тестване и проникване, с отворен код, който автоматизира процеса на откриване и използване на недостатъците на SQL база данните чрез SQL инжекция, която ги взима от сървъра. Снабден е с мощен детектор, множество специални функции за най-добрия тестер и широк спектър от функции, които могат да се използват за множество цели - извличане на данни от базата данни, достъп до основната файлова система и изпълняване на команди на операционната система.
+2 -2
View File
@@ -1,6 +1,6 @@
# sqlmap
# sqlmap ![](https://i.imgur.com/fe85aVR.png)
[![Build Status](https://api.travis-ci.org/sqlmapproject/sqlmap.svg?branch=master)](https://travis-ci.org/sqlmapproject/sqlmap) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![PyPI version](https://badge.fury.io/py/sqlmap.svg)](https://badge.fury.io/py/sqlmap) [![GitHub closed issues](https://img.shields.io/github/issues-closed-raw/sqlmapproject/sqlmap.svg?colorB=ff69b4)](https://github.com/sqlmapproject/sqlmap/issues?q=is%3Aissue+is%3Aclosed) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
[![.github/workflows/tests.yml](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml/badge.svg)](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
sqlmap ist ein quelloffenes Penetrationstest Werkzeug, das die Entdeckung, Ausnutzung und Übernahme von SQL injection Schwachstellen automatisiert. Es kommt mit einer mächtigen Erkennungs-Engine, vielen Nischenfunktionen für den ultimativen Penetrationstester und einem breiten Spektrum an Funktionen von Datenbankerkennung, abrufen von Daten aus der Datenbank, zugreifen auf das unterliegende Dateisystem bis hin zur Befehlsausführung auf dem Betriebssystem mit Hilfe von out-of-band Verbindungen.
+2 -2
View File
@@ -1,6 +1,6 @@
# sqlmap
# sqlmap ![](https://i.imgur.com/fe85aVR.png)
[![Build Status](https://api.travis-ci.org/sqlmapproject/sqlmap.svg?branch=master)](https://travis-ci.org/sqlmapproject/sqlmap) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![PyPI version](https://badge.fury.io/py/sqlmap.svg)](https://badge.fury.io/py/sqlmap) [![GitHub closed issues](https://img.shields.io/github/issues-closed-raw/sqlmapproject/sqlmap.svg?colorB=ff69b4)](https://github.com/sqlmapproject/sqlmap/issues?q=is%3Aissue+is%3Aclosed) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
[![.github/workflows/tests.yml](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml/badge.svg)](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
sqlmap es una herramienta para pruebas de penetración "penetration testing" de software libre que automatiza el proceso de detección y explotación de fallos mediante inyección de SQL además de tomar el control de servidores de bases de datos. Contiene un poderoso motor de detección, así como muchas de las funcionalidades escenciales para el "pentester" y una amplia gama de opciones desde la recopilación de información para identificar el objetivo conocido como "fingerprinting" mediante la extracción de información de la base de datos, hasta el acceso al sistema de archivos subyacente para ejecutar comandos en el sistema operativo a través de conexiones alternativas conocidas como "Out-of-band".
+1 -1
View File
@@ -1,6 +1,6 @@
# sqlmap ![](https://i.imgur.com/fe85aVR.png)
[![Build Status](https://api.travis-ci.org/sqlmapproject/sqlmap.svg?branch=master)](https://travis-ci.org/sqlmapproject/sqlmap) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![PyPI version](https://badge.fury.io/py/sqlmap.svg)](https://badge.fury.io/py/sqlmap) [![GitHub closed issues](https://img.shields.io/github/issues-closed-raw/sqlmapproject/sqlmap.svg?colorB=ff69b4)](https://github.com/sqlmapproject/sqlmap/issues?q=is%3Aissue+is%3Aclosed) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
[![.github/workflows/tests.yml](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml/badge.svg)](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
<div dir=rtl>
+2 -2
View File
@@ -1,6 +1,6 @@
# sqlmap
# sqlmap ![](https://i.imgur.com/fe85aVR.png)
[![Build Status](https://api.travis-ci.org/sqlmapproject/sqlmap.svg?branch=master)](https://travis-ci.org/sqlmapproject/sqlmap) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![PyPI version](https://badge.fury.io/py/sqlmap.svg)](https://badge.fury.io/py/sqlmap) [![GitHub closed issues](https://img.shields.io/github/issues-closed-raw/sqlmapproject/sqlmap.svg?colorB=ff69b4)](https://github.com/sqlmapproject/sqlmap/issues?q=is%3Aissue+is%3Aclosed) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
[![.github/workflows/tests.yml](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml/badge.svg)](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
**sqlmap** est un outil Open Source de test d'intrusion. Cet outil permet d'automatiser le processus de détection et d'exploitation des failles d'injection SQL afin de prendre le contrôle des serveurs de base de données. __sqlmap__ dispose d'un puissant moteur de détection utilisant les techniques les plus récentes et les plus dévastatrices de tests d'intrusion comme L'Injection SQL, qui permet d'accéder à la base de données, au système de fichiers sous-jacent et permet aussi l'exécution des commandes sur le système d'exploitation.
+2 -2
View File
@@ -1,6 +1,6 @@
# sqlmap
# sqlmap ![](https://i.imgur.com/fe85aVR.png)
[![Build Status](https://api.travis-ci.org/sqlmapproject/sqlmap.svg?branch=master)](https://travis-ci.org/sqlmapproject/sqlmap) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![PyPI version](https://badge.fury.io/py/sqlmap.svg)](https://badge.fury.io/py/sqlmap) [![GitHub closed issues](https://img.shields.io/github/issues-closed-raw/sqlmapproject/sqlmap.svg?colorB=ff69b4)](https://github.com/sqlmapproject/sqlmap/issues?q=is%3Aissue+is%3Aclosed) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
[![.github/workflows/tests.yml](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml/badge.svg)](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
Το sqlmap είναι πρόγραμμα ανοιχτού κώδικα, που αυτοματοποιεί την εύρεση και εκμετάλλευση ευπαθειών τύπου SQL Injection σε βάσεις δεδομένων. Έρχεται με μια δυνατή μηχανή αναγνώρισης ευπαθειών, πολλά εξειδικευμένα χαρακτηριστικά για τον απόλυτο penetration tester όπως και με ένα μεγάλο εύρος επιλογών αρχίζοντας από την αναγνώριση της βάσης δεδομένων, κατέβασμα δεδομένων της βάσης, μέχρι και πρόσβαση στο βαθύτερο σύστημα αρχείων και εκτέλεση εντολών στο απευθείας στο λειτουργικό μέσω εκτός ζώνης συνδέσεων.
+2 -2
View File
@@ -1,6 +1,6 @@
# sqlmap
# sqlmap ![](https://i.imgur.com/fe85aVR.png)
[![Build Status](https://api.travis-ci.org/sqlmapproject/sqlmap.svg?branch=master)](https://travis-ci.org/sqlmapproject/sqlmap) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![PyPI version](https://badge.fury.io/py/sqlmap.svg)](https://badge.fury.io/py/sqlmap) [![GitHub closed issues](https://img.shields.io/github/issues-closed-raw/sqlmapproject/sqlmap.svg?colorB=ff69b4)](https://github.com/sqlmapproject/sqlmap/issues?q=is%3Aissue+is%3Aclosed) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
[![.github/workflows/tests.yml](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml/badge.svg)](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
sqlmap je alat namijenjen za penetracijsko testiranje koji automatizira proces detekcije i eksploatacije sigurnosnih propusta SQL injekcije te preuzimanje poslužitelja baze podataka. Dolazi s moćnim mehanizmom za detekciju, mnoštvom korisnih opcija za napredno penetracijsko testiranje te široki spektar opcija od onih za prepoznavanja baze podataka, preko dohvaćanja podataka iz baze, do pristupa zahvaćenom datotečnom sustavu i izvršavanja komandi na operacijskom sustavu korištenjem tzv. "out-of-band" veza.
+2 -2
View File
@@ -1,6 +1,6 @@
# sqlmap
# sqlmap ![](https://i.imgur.com/fe85aVR.png)
[![Build Status](https://api.travis-ci.org/sqlmapproject/sqlmap.svg?branch=master)](https://travis-ci.org/sqlmapproject/sqlmap) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![PyPI version](https://badge.fury.io/py/sqlmap.svg)](https://badge.fury.io/py/sqlmap) [![GitHub closed issues](https://img.shields.io/github/issues-closed-raw/sqlmapproject/sqlmap.svg?colorB=ff69b4)](https://github.com/sqlmapproject/sqlmap/issues?q=is%3Aissue+is%3Aclosed) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
[![.github/workflows/tests.yml](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml/badge.svg)](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
sqlmap merupakan alat _(tool)_ bantu _open source_ dalam melakukan tes penetrasi yang mengotomasi proses deteksi dan eksploitasi kelemahan _SQL injection_ dan pengambil-alihan server basis data. sqlmap dilengkapi dengan pendeteksi canggih, fitur-fitur handal bagi _penetration tester_, beragam cara untuk mendeteksi basis data, hingga mengakses _file system_ dan mengeksekusi perintah dalam sistem operasi melalui koneksi _out-of-band_.
+2 -2
View File
@@ -1,6 +1,6 @@
r# sqlmap
# sqlmap ![](https://i.imgur.com/fe85aVR.png)
[![Build Status](https://api.travis-ci.org/sqlmapproject/sqlmap.svg?branch=master)](https://travis-ci.org/sqlmapproject/sqlmap) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![PyPI version](https://badge.fury.io/py/sqlmap.svg)](https://badge.fury.io/py/sqlmap) [![GitHub closed issues](https://img.shields.io/github/issues-closed-raw/sqlmapproject/sqlmap.svg?colorB=ff69b4)](https://github.com/sqlmapproject/sqlmap/issues?q=is%3Aissue+is%3Aclosed) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
[![.github/workflows/tests.yml](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml/badge.svg)](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
sqlmap è uno strumento open source per il penetration testing. Il suo scopo è quello di rendere automatico il processo di scoperta ed exploit di vulnerabilità di tipo SQL injection al fine di compromettere database online. Dispone di un potente motore per la ricerca di vulnerabilità, molti strumenti di nicchia anche per il più esperto penetration tester ed un'ampia gamma di controlli che vanno dal fingerprinting di database allo scaricamento di dati, fino all'accesso al file system sottostante e l'esecuzione di comandi nel sistema operativo attraverso connessioni out-of-band.
+6 -6
View File
@@ -1,6 +1,6 @@
# sqlmap
# sqlmap ![](https://i.imgur.com/fe85aVR.png)
[![Build Status](https://api.travis-ci.org/sqlmapproject/sqlmap.svg?branch=master)](https://travis-ci.org/sqlmapproject/sqlmap) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![PyPI version](https://badge.fury.io/py/sqlmap.svg)](https://badge.fury.io/py/sqlmap) [![GitHub closed issues](https://img.shields.io/github/issues-closed-raw/sqlmapproject/sqlmap.svg?colorB=ff69b4)](https://github.com/sqlmapproject/sqlmap/issues?q=is%3Aissue+is%3Aclosed) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
[![.github/workflows/tests.yml](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml/badge.svg)](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
sqlmapはオープンソースのペネトレーションテスティングツールです。SQLインジェクションの脆弱性の検出、活用、そしてデータベースサーバ奪取のプロセスを自動化します。
強力な検出エンジン、ペネトレーションテスターのための多くのニッチ機能、持続的なデータベースのフィンガープリンティングから、データベースのデータ取得やアウトオブバンド接続を介したオペレーティング・システム上でのコマンド実行、ファイルシステムへのアクセスなどの広範囲に及ぶスイッチを提供します。
@@ -23,19 +23,19 @@ wikiに載っているいくつかの機能のデモをスクリーンショッ
sqlmapは、 [Python](https://www.python.org/download/) バージョン **2.6**, **2.7** または **3.x** がインストールされていれば、全てのプラットフォームですぐに使用できます。
使用法
使用方法
----
基本的なオプションとスイッチの使用法をリストするには:
基本的なオプションとスイッチの使用方法をリストで取得するには:
python sqlmap.py -h
全てのオプションとスイッチの使用法をリストするには:
全てのオプションとスイッチの使用方法をリストで取得するには:
python sqlmap.py -hh
実行例を [こちら](https://asciinema.org/a/46601) で見ることができます。
sqlmapの概要、機能の一覧、全てのオプションやスイッチの使用法を例とともに、 [ユーザーマニュアル](https://github.com/sqlmapproject/sqlmap/wiki/Usage) で確認することができます。
sqlmapの概要、機能の一覧、全てのオプションやスイッチの使用方法を例とともに、 [ユーザーマニュアル](https://github.com/sqlmapproject/sqlmap/wiki/Usage) で確認することができます。
リンク
----
+2 -2
View File
@@ -1,6 +1,6 @@
# sqlmap
# sqlmap ![](https://i.imgur.com/fe85aVR.png)
[![Build Status](https://api.travis-ci.org/sqlmapproject/sqlmap.svg?branch=master)](https://travis-ci.org/sqlmapproject/sqlmap) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![PyPI version](https://badge.fury.io/py/sqlmap.svg)](https://badge.fury.io/py/sqlmap) [![GitHub closed issues](https://img.shields.io/github/issues-closed-raw/sqlmapproject/sqlmap.svg?colorB=ff69b4)](https://github.com/sqlmapproject/sqlmap/issues?q=is%3Aissue+is%3Aclosed) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
[![.github/workflows/tests.yml](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml/badge.svg)](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
sqlmap은 SQL 인젝션 결함 탐지 및 활용, 데이터베이스 서버 장악 프로세스를 자동화 하는 오픈소스 침투 테스팅 도구입니다. 최고의 침투 테스터, 데이터베이스 핑거프린팅 부터 데이터베이스 데이터 읽기, 대역 외 연결을 통한 기반 파일 시스템 접근 및 명령어 실행에 걸치는 광범위한 스위치들을 위한 강력한 탐지 엔진과 다수의 편리한 기능이 탑재되어 있습니다.
+50
View File
@@ -0,0 +1,50 @@
# sqlmap ![](https://i.imgur.com/fe85aVR.png)
[![.github/workflows/tests.yml](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml/badge.svg)](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
sqlmap is een open source penetratie test tool dat het proces automatiseert van het detecteren en exploiteren van SQL injectie fouten en het overnemen van database servers. Het wordt geleverd met een krachtige detectie-engine, vele niche-functies voor de ultieme penetratietester, en een breed scala aan switches, waaronder database fingerprinting, het overhalen van gegevens uit de database, toegang tot het onderliggende bestandssysteem, en het uitvoeren van commando's op het besturingssysteem via out-of-band verbindingen.
Screenshots
----
![Screenshot](https://raw.github.com/wiki/sqlmapproject/sqlmap/images/sqlmap_screenshot.png)
Je kunt de [collectie met screenshots](https://github.com/sqlmapproject/sqlmap/wiki/Screenshots) bezoeken voor een demonstratie van sommige functies in the wiki.
Installatie
----
Je kunt de laatste tarball installeren door [hier](https://github.com/sqlmapproject/sqlmap/tarball/master) te klikken of de laatste zipball door [hier](https://github.com/sqlmapproject/sqlmap/zipball/master) te klikken.
Bij voorkeur, kun je sqlmap downloaden door de [Git](https://github.com/sqlmapproject/sqlmap) repository te clonen:
git clone --depth 1 https://github.com/sqlmapproject/sqlmap.git sqlmap-dev
sqlmap werkt op alle platformen met de volgende [Python](https://www.python.org/download/) versies: **2.6**, **2.7** en **3.x**.
Gebruik
----
Om een lijst van basisopties en switches te krijgen gebruik:
python sqlmap.py -h
Om een lijst van alle opties en switches te krijgen gebruik:
python sqlmap.py -hh
Je kunt [hier](https://asciinema.org/a/46601) een proefrun vinden.
Voor een overzicht van de mogelijkheden van sqlmap, een lijst van ondersteunde functies, en een beschrijving van alle opties en switches, samen met voorbeelden, wordt u aangeraden de [gebruikershandleiding](https://github.com/sqlmapproject/sqlmap/wiki/Usage) te raadplegen.
Links
----
* Homepage: https://sqlmap.org
* Download: [.tar.gz](https://github.com/sqlmapproject/sqlmap/tarball/master) of [.zip](https://github.com/sqlmapproject/sqlmap/zipball/master)
* RSS feed: https://github.com/sqlmapproject/sqlmap/commits/master.atom
* Probleem tracker: https://github.com/sqlmapproject/sqlmap/issues
* Gebruikers handleiding: https://github.com/sqlmapproject/sqlmap/wiki
* Vaak gestelde vragen (FAQ): https://github.com/sqlmapproject/sqlmap/wiki/FAQ
* Twitter: [@sqlmap](https://twitter.com/sqlmap)
* Demos: [https://www.youtube.com/user/inquisb/videos](https://www.youtube.com/user/inquisb/videos)
* Screenshots: https://github.com/sqlmapproject/sqlmap/wiki/Screenshots
+2 -2
View File
@@ -1,6 +1,6 @@
# sqlmap
# sqlmap ![](https://i.imgur.com/fe85aVR.png)
[![Build Status](https://api.travis-ci.org/sqlmapproject/sqlmap.svg?branch=master)](https://travis-ci.org/sqlmapproject/sqlmap) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![PyPI version](https://badge.fury.io/py/sqlmap.svg)](https://badge.fury.io/py/sqlmap) [![GitHub closed issues](https://img.shields.io/github/issues-closed-raw/sqlmapproject/sqlmap.svg?colorB=ff69b4)](https://github.com/sqlmapproject/sqlmap/issues?q=is%3Aissue+is%3Aclosed) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
[![.github/workflows/tests.yml](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml/badge.svg)](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
sqlmap to open sourceowe narzędzie do testów penetracyjnych, które automatyzuje procesy detekcji, przejmowania i testowania odporności serwerów SQL na podatność na iniekcję niechcianego kodu. Zawiera potężny mechanizm detekcji, wiele niszowych funkcji dla zaawansowanych testów penetracyjnych oraz szeroki wachlarz opcji począwszy od identyfikacji bazy danych, poprzez wydobywanie z nich danych, a nawet pozwalających na dostęp do systemu plików o uruchamianie poleceń w systemie operacyjnym serwera poprzez niestandardowe połączenia.
+2 -2
View File
@@ -1,6 +1,6 @@
# sqlmap
# sqlmap ![](https://i.imgur.com/fe85aVR.png)
[![Build Status](https://api.travis-ci.org/sqlmapproject/sqlmap.svg?branch=master)](https://travis-ci.org/sqlmapproject/sqlmap) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![PyPI version](https://badge.fury.io/py/sqlmap.svg)](https://badge.fury.io/py/sqlmap) [![GitHub closed issues](https://img.shields.io/github/issues-closed-raw/sqlmapproject/sqlmap.svg?colorB=ff69b4)](https://github.com/sqlmapproject/sqlmap/issues?q=is%3Aissue+is%3Aclosed) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
[![.github/workflows/tests.yml](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml/badge.svg)](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
sqlmap é uma ferramenta de teste de intrusão, de código aberto, que automatiza o processo de detecção e exploração de falhas de injeção SQL. Com essa ferramenta é possível assumir total controle de servidores de banco de dados em páginas web vulneráveis, inclusive de base de dados fora do sistema invadido. Ele possui um motor de detecção poderoso, empregando as últimas e mais devastadoras técnicas de teste de intrusão por SQL Injection, que permite acessar a base de dados, o sistema de arquivos subjacente e executar comandos no sistema operacional.
+2 -2
View File
@@ -1,6 +1,6 @@
# sqlmap
# sqlmap ![](https://i.imgur.com/fe85aVR.png)
[![Build Status](https://api.travis-ci.org/sqlmapproject/sqlmap.svg?branch=master)](https://travis-ci.org/sqlmapproject/sqlmap) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![PyPI version](https://badge.fury.io/py/sqlmap.svg)](https://badge.fury.io/py/sqlmap) [![GitHub closed issues](https://img.shields.io/github/issues-closed-raw/sqlmapproject/sqlmap.svg?colorB=ff69b4)](https://github.com/sqlmapproject/sqlmap/issues?q=is%3Aissue+is%3Aclosed) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
[![.github/workflows/tests.yml](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml/badge.svg)](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
sqlmap je alat otvorenog koda namenjen za penetraciono testiranje koji automatizuje proces detekcije i eksploatacije sigurnosnih propusta SQL injekcije i preuzimanje baza podataka. Dolazi s moćnim mehanizmom za detekciju, mnoštvom korisnih opcija za napredno penetracijsko testiranje te široki spektar opcija od onih za prepoznavanja baze podataka, preko uzimanja podataka iz baze, do pristupa zahvaćenom fajl sistemu i izvršavanja komandi na operativnom sistemu korištenjem tzv. "out-of-band" veza.
+2 -2
View File
@@ -1,6 +1,6 @@
# sqlmap
# sqlmap ![](https://i.imgur.com/fe85aVR.png)
[![Build Status](https://api.travis-ci.org/sqlmapproject/sqlmap.svg?branch=master)](https://travis-ci.org/sqlmapproject/sqlmap) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![PyPI version](https://badge.fury.io/py/sqlmap.svg)](https://badge.fury.io/py/sqlmap) [![GitHub closed issues](https://img.shields.io/github/issues-closed-raw/sqlmapproject/sqlmap.svg?colorB=ff69b4)](https://github.com/sqlmapproject/sqlmap/issues?q=is%3Aissue+is%3Aclosed) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
[![.github/workflows/tests.yml](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml/badge.svg)](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
sqlmap - это инструмент для тестирования уязвимостей с открытым исходным кодом, который автоматизирует процесс обнаружения и использования ошибок SQL-инъекций и захвата серверов баз данных. Он оснащен мощным механизмом обнаружения, множеством приятных функций для профессионального тестера уязвимостей и широким спектром скриптов, которые упрощают работу с базами данных, от сбора данных из базы данных, до доступа к базовой файловой системе и выполнения команд в операционной системе через out-of-band соединение.
+2 -2
View File
@@ -1,6 +1,6 @@
# sqlmap
# sqlmap ![](https://i.imgur.com/fe85aVR.png)
[![Build Status](https://api.travis-ci.org/sqlmapproject/sqlmap.svg?branch=master)](https://travis-ci.org/sqlmapproject/sqlmap) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![PyPI version](https://badge.fury.io/py/sqlmap.svg)](https://badge.fury.io/py/sqlmap) [![GitHub closed issues](https://img.shields.io/github/issues-closed-raw/sqlmapproject/sqlmap.svg?colorB=ff69b4)](https://github.com/sqlmapproject/sqlmap/issues?q=is%3Aissue+is%3Aclosed) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
[![.github/workflows/tests.yml](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml/badge.svg)](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
sqlmap sql injection açıklarını otomatik olarak tespit ve istismar etmeye yarayan açık kaynak bir penetrasyon aracıdır. sqlmap gelişmiş tespit özelliğinin yanı sıra penetrasyon testleri sırasında gerekli olabilecek bir çok aracı, -uzak veritabınınından, veri indirmek, dosya sistemine erişmek, dosya çalıştırmak gibi - işlevleri de barındırmaktadır.
+2 -2
View File
@@ -1,6 +1,6 @@
# sqlmap
# sqlmap ![](https://i.imgur.com/fe85aVR.png)
[![Build Status](https://api.travis-ci.org/sqlmapproject/sqlmap.svg?branch=master)](https://travis-ci.org/sqlmapproject/sqlmap) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![PyPI version](https://badge.fury.io/py/sqlmap.svg)](https://badge.fury.io/py/sqlmap) [![GitHub closed issues](https://img.shields.io/github/issues-closed-raw/sqlmapproject/sqlmap.svg?colorB=ff69b4)](https://github.com/sqlmapproject/sqlmap/issues?q=is%3Aissue+is%3Aclosed) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
[![.github/workflows/tests.yml](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml/badge.svg)](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
sqlmap - це інструмент для тестування вразливостей з відкритим сирцевим кодом, який автоматизує процес виявлення і використання дефектів SQL-ін'єкцій, а також захоплення серверів баз даних. Він оснащений потужним механізмом виявлення, безліччю приємних функцій для професійного тестувальника вразливостей і широким спектром скриптів, які спрощують роботу з базами даних - від відбитка бази даних до доступу до базової файлової системи та виконання команд в операційній системі через out-of-band з'єднання.
+1 -1
View File
@@ -1,6 +1,6 @@
# sqlmap ![](https://i.imgur.com/fe85aVR.png)
[![Build Status](https://api.travis-ci.org/sqlmapproject/sqlmap.svg?branch=master)](https://travis-ci.org/sqlmapproject/sqlmap) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![PyPI version](https://badge.fury.io/py/sqlmap.svg)](https://badge.fury.io/py/sqlmap) [![GitHub closed issues](https://img.shields.io/github/issues-closed-raw/sqlmapproject/sqlmap.svg?colorB=ff69b4)](https://github.com/sqlmapproject/sqlmap/issues?q=is%3Aissue+is%3Aclosed) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
[![.github/workflows/tests.yml](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml/badge.svg)](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
sqlmap là một công cụ kiểm tra thâm nhập mã nguồn mở, nhằm tự động hóa quá trình phát hiện, khai thác lỗ hổng tiêm SQL và tiếp quản các máy chủ cơ sở dữ liệu. Nó đi kèm với
một hệ thống phát hiện mạnh mẽ, nhiều tính năng thích hợp cho người kiểm tra thâm nhập (pentester) và một loạt các tùy chọn bao gồm phát hiện cơ sở dữ liệu, truy xuất dữ liệu từ cơ sở dữ liệu, truy cập tệp của hệ thống và thực hiện các lệnh trên hệ điều hành từ xa.
+2 -2
View File
@@ -1,6 +1,6 @@
# sqlmap
# sqlmap ![](https://i.imgur.com/fe85aVR.png)
[![Build Status](https://api.travis-ci.org/sqlmapproject/sqlmap.svg?branch=master)](https://travis-ci.org/sqlmapproject/sqlmap) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![PyPI version](https://badge.fury.io/py/sqlmap.svg)](https://badge.fury.io/py/sqlmap) [![GitHub closed issues](https://img.shields.io/github/issues-closed-raw/sqlmapproject/sqlmap.svg?colorB=ff69b4)](https://github.com/sqlmapproject/sqlmap/issues?q=is%3Aissue+is%3Aclosed) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
[![.github/workflows/tests.yml](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml/badge.svg)](https://github.com/sqlmapproject/sqlmap/actions/workflows/tests.yml) [![Python 2.6|2.7|3.x](https://img.shields.io/badge/python-2.6|2.7|3.x-yellow.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/license-GPLv2-red.svg)](https://raw.githubusercontent.com/sqlmapproject/sqlmap/master/LICENSE) [![Twitter](https://img.shields.io/badge/[email protected])](https://twitter.com/sqlmap)
sqlmap 是一个开源的渗透测试工具,可以用来自动化的检测,利用SQL注入漏洞,获取数据库服务器的权限。它具有功能强大的检测引擎,针对各种不同类型数据库的渗透测试的功能选项,包括获取数据库中存储的数据,访问操作系统文件甚至可以通过带外数据连接的方式执行操作系统命令。
+1 -1
View File
@@ -496,7 +496,7 @@ def start():
if skip:
continue
if place not in conf.paramDict:
if place not in conf.paramDict or place not in conf.parameters:
continue
paramDict = conf.paramDict[place]
+9 -2
View File
@@ -129,7 +129,9 @@ class Agent(object):
if kb.postHint in (POST_HINT.SOAP, POST_HINT.XML):
origValue = re.split(r"['\">]", origValue)[-1]
elif kb.postHint in (POST_HINT.JSON, POST_HINT.JSON_LIKE):
origValue = extractRegexResult(r"(?s)\"\s*:\s*(?P<result>\d+\Z)", origValue) or extractRegexResult(r'(?s)[\s:]*(?P<result>[^"\[,]+\Z)', origValue)
match = re.search(r"['\"]", origValue)
quote = match.group(0) if match else '"'
origValue = extractRegexResult(r"%s\s*:\s*(?P<result>\d+)\Z" % quote, origValue) or extractRegexResult(r"(?P<result>[^%s]*)\Z" % quote, origValue)
else:
_ = extractRegexResult(r"(?s)(?P<result>[^\s<>{}();'\"&]+\Z)", origValue) or ""
origValue = _.split('=', 1)[1] if '=' in _ else ""
@@ -398,7 +400,7 @@ class Agent(object):
"""
if payload:
for match in re.finditer(r"%s(.*?)%s" % (BOUNDED_BASE64_MARKER, BOUNDED_BASE64_MARKER), payload):
for match in re.finditer(r"(?s)%s(.*?)%s" % (BOUNDED_BASE64_MARKER, BOUNDED_BASE64_MARKER), payload):
_ = encodeBase64(match.group(1), binary=False, encoding=conf.encoding or UNICODE_ENCODING, safe=conf.base64Safe)
payload = payload.replace(match.group(0), _)
@@ -416,6 +418,11 @@ class Agent(object):
payload = re.sub(r"(?i)\bMID\(", "SUBSTR(", payload)
payload = re.sub(r"(?i)\bNCHAR\b", "CHAR", payload)
# NOTE: https://github.com/sqlmapproject/sqlmap/issues/5057
match = re.search(r"(=0x)(303a303a)3(\d{2,})", payload)
if match:
payload = payload.replace(match.group(0), "%s%s%s" % (match.group(1), match.group(2).upper(), "".join("3%s" % _ for _ in match.group(3))))
return payload
def getComment(self, request):
+39
View File
@@ -104,6 +104,7 @@ from lib.core.log import LOGGER_HANDLER
from lib.core.optiondict import optDict
from lib.core.settings import BANNER
from lib.core.settings import BOLD_PATTERNS
from lib.core.settings import BOUNDARY_BACKSLASH_MARKER
from lib.core.settings import BOUNDED_INJECTION_MARKER
from lib.core.settings import BRUTE_DOC_ROOT_PREFIXES
from lib.core.settings import BRUTE_DOC_ROOT_SUFFIXES
@@ -1384,6 +1385,38 @@ def banner():
dataToStdout(result, forceOutput=True)
def parseJson(content):
"""
This function parses POST_HINT.JSON and POST_HINT.JSON_LIKE content
>>> parseJson("{'id':1}")["id"] == 1
True
>>> parseJson('{"id":1}')["id"] == 1
True
"""
quote = None
retVal = None
for regex in (r"'[^']+'\s*:", r'"[^"]+"\s*:'):
match = re.search(regex, content)
if match:
quote = match.group(0)[0]
try:
if quote == '"':
retVal = json.loads(content)
elif quote == "'":
content = content.replace('"', '\\"')
content = content.replace("\\'", BOUNDARY_BACKSLASH_MARKER)
content = content.replace("'", '"')
content = content.replace(BOUNDARY_BACKSLASH_MARKER, "'")
retVal = json.loads(content)
except:
pass
return retVal
def parsePasswordHash(password):
"""
In case of Microsoft SQL Server password hash value is expanded to its components
@@ -5375,6 +5408,12 @@ def parseRequestFile(reqFile, checkParams=True):
if conf.scope:
logger.info("using regular expression '%s' for filtering targets" % conf.scope)
try:
re.compile(conf.scope)
except Exception as ex:
errMsg = "invalid regular expression '%s' ('%s')" % (conf.scope, getSafeExString(ex))
raise SqlmapSyntaxException(errMsg)
for target in _parseBurpLog(content):
yield target
+19
View File
@@ -167,8 +167,27 @@ class WichmannHill(random.Random):
def patchHeaders(headers):
if headers is not None and not hasattr(headers, "headers"):
if isinstance(headers, dict):
class _(dict):
def __getitem__(self, key):
for key_ in self:
if key_.lower() == key.lower():
return super(_, self).__getitem__(key_)
raise KeyError(key)
def get(self, key, default=None):
try:
return self[key]
except KeyError:
return default
headers = _(headers)
headers.headers = ["%s: %s\r\n" % (header, headers[header]) for header in headers]
return headers
def cmp(a, b):
"""
>>> cmp("a", "b")
+1 -1
View File
@@ -16,7 +16,7 @@ _defaults = {
"timeout": 30,
"retries": 3,
"csrfRetries": 0,
"saFreq": 0,
"safeFreq": 0,
"threads": 1,
"level": 1,
"risk": 1,
+15 -10
View File
@@ -79,18 +79,19 @@ class Dump(object):
elif console:
dataToStdout(text)
multiThreadMode = kb.multiThreadMode
if multiThreadMode:
self._lock.acquire()
if self._outputFP:
multiThreadMode = kb.multiThreadMode
if multiThreadMode:
self._lock.acquire()
try:
self._outputFP.write(text)
except IOError as ex:
errMsg = "error occurred while writing to log file ('%s')" % getSafeExString(ex)
raise SqlmapGenericException(errMsg)
try:
self._outputFP.write(text)
except IOError as ex:
errMsg = "error occurred while writing to log file ('%s')" % getSafeExString(ex)
raise SqlmapGenericException(errMsg)
if multiThreadMode:
self._lock.release()
if multiThreadMode:
self._lock.release()
kb.dataOutputFlag = True
@@ -102,6 +103,10 @@ class Dump(object):
pass
def setOutputFile(self):
if conf.noLogging:
self._outputFP = None
return
self._outputFile = os.path.join(conf.outputPath, "log")
try:
self._outputFP = openFile(self._outputFile, "ab" if not conf.flushSession else "wb")
+10 -1
View File
@@ -433,7 +433,7 @@ def _setStdinPipeTargets():
def next(self):
try:
line = next(conf.stdinPipe)
except (IOError, OSError):
except (IOError, OSError, TypeError):
line = None
if line:
@@ -1839,6 +1839,15 @@ def _cleanupOptions():
if conf.retries:
conf.retries = min(conf.retries, MAX_CONNECT_RETRIES)
if conf.url:
match = re.search(r"\A(\w+://)?([^/@?]+)@", conf.url)
if match:
credentials = match.group(2)
conf.url = conf.url.replace("%s@" % credentials, "", 1)
conf.authType = AUTH_TYPE.BASIC
conf.authCred = credentials if ':' in credentials else "%s:" % credentials
if conf.code:
conf.code = int(conf.code)
+1
View File
@@ -243,6 +243,7 @@ optDict = {
"dependencies": "boolean",
"disableColoring": "boolean",
"listTampers": "boolean",
"noLogging": "boolean",
"offline": "boolean",
"purge": "boolean",
"resultsFile": "string",
+4 -5
View File
@@ -5,12 +5,7 @@ Copyright (c) 2006-2022 sqlmap developers (https://sqlmap.org/)
See the file 'LICENSE' for copying permission
"""
from lib.core.data import logger
from lib.core.settings import IS_WIN
from lib.core.settings import PLATFORM
_readline = None
try:
from readline import *
import readline as _readline
@@ -21,6 +16,10 @@ except:
except:
pass
from lib.core.data import logger
from lib.core.settings import IS_WIN
from lib.core.settings import PLATFORM
if IS_WIN and _readline:
try:
_outputfile = _readline.GetOutputFile()
+2 -2
View File
@@ -20,7 +20,7 @@ from thirdparty import six
from thirdparty.six import unichr as _unichr
# sqlmap version (<major>.<minor>.<month>.<monthly commit>)
VERSION = "1.6.3.0"
VERSION = "1.6.6.0"
TYPE = "dev" if VERSION.count('.') > 2 and VERSION.split('.')[-1] != '0' else "stable"
TYPE_COLORS = {"dev": 33, "stable": 90, "pip": 34}
VERSION_STRING = "sqlmap/%s#%s" % ('.'.join(VERSION.split('.')[:-1]) if VERSION.count('.') > 2 and VERSION.split('.')[-1] == '0' else VERSION, TYPE)
@@ -698,7 +698,7 @@ DEFAULT_COOKIE_DELIMITER = ';'
FORCE_COOKIE_EXPIRATION_TIME = "9999999999"
# Github OAuth token used for creating an automatic Issue for unhandled exceptions
GITHUB_REPORT_OAUTH_TOKEN = "NTYzYjhmZWJjYzc0Njg2ODJhNzhmNDg1YzM0YzlkYjk3N2JiMzE3Nw"
GITHUB_REPORT_OAUTH_TOKEN = "Z2hwX2FOMDdpUWx0NDg0ak85QW4yU1pSQjhtazhBaVVlRzNaMUxmMA"
# Skip unforced HashDB flush requests below the threshold number of cached items
HASHDB_FLUSH_THRESHOLD = 32
+9 -2
View File
@@ -119,6 +119,13 @@ def setDaemon(thread):
def runThreads(numThreads, threadFunction, cleanupFunction=None, forwardException=True, threadChoice=False, startThreadMsg=True):
threads = []
def _threadFunction():
try:
threadFunction()
finally:
if conf.hashDB:
conf.hashDB.close()
kb.multipleCtrlC = False
kb.threadContinue = True
kb.threadException = False
@@ -154,14 +161,14 @@ def runThreads(numThreads, threadFunction, cleanupFunction=None, forwardExceptio
infoMsg = "starting %d threads" % numThreads
logger.info(infoMsg)
else:
threadFunction()
_threadFunction()
return
kb.multiThreadMode = True
# Start the threads
for numThread in xrange(numThreads):
thread = threading.Thread(target=exceptionHandledFunction, name=str(numThread), args=[threadFunction])
thread = threading.Thread(target=exceptionHandledFunction, name=str(numThread), args=[_threadFunction])
setDaemon(thread)
+4 -1
View File
@@ -745,6 +745,9 @@ def cmdLineParser(argv=None):
miscellaneous.add_argument("--list-tampers", dest="listTampers", action="store_true",
help="Display list of available tamper scripts")
miscellaneous.add_argument("--no-logging", dest="noLogging", action="store_true",
help="Disable logging to a file")
miscellaneous.add_argument("--offline", dest="offline", action="store_true",
help="Work in offline mode (only use session data)")
@@ -955,7 +958,7 @@ def cmdLineParser(argv=None):
argv[i] = re.sub(u"\\A(\u2010|\u2013|\u2212|\u2014|\u4e00|\u1680|\uFE63|\uFF0D)+", lambda match: '-' * len(match.group(0)), argv[i])
# Reference: https://unicode-table.com/en/sets/quotation-marks/
argv[i] = argv[i].strip(u"\u00AB\u2039\u00BB\u203A\u201E\u201C\u201F\u201D\u2019\u0022\u275D\u275E\u276E\u276F\u2E42\u301D\u301E\u301F\uFF02\u201A\u2018\u201B\u275B\u275C")
argv[i] = argv[i].strip(u"\u00AB\u2039\u00BB\u203A\u201E\u201C\u201F\u201D\u2019\u275D\u275E\u276E\u276F\u2E42\u301D\u301E\u301F\uFF02\u201A\u2018\u201B\u275B\u275C")
if argv[i] == "-hh":
argv[i] = "-h"
+58 -11
View File
@@ -46,6 +46,7 @@ from lib.core.common import getSafeExString
from lib.core.common import logHTTPTraffic
from lib.core.common import openFile
from lib.core.common import popValue
from lib.core.common import parseJson
from lib.core.common import pushValue
from lib.core.common import randomizeParameterValue
from lib.core.common import randomInt
@@ -642,7 +643,7 @@ class Connect(object):
if hasattr(conn, "redurl"):
responseHeaders[HTTP_HEADER.LOCATION] = conn.redurl
patchHeaders(responseHeaders)
responseHeaders = patchHeaders(responseHeaders)
kb.serverHeader = responseHeaders.get(HTTP_HEADER.SERVER, kb.serverHeader)
else:
code = None
@@ -724,7 +725,7 @@ class Connect(object):
page = ex.read() if not skipRead else None
responseHeaders = ex.info()
responseHeaders[URI_HTTP_HEADER] = ex.geturl()
patchHeaders(responseHeaders)
responseHeaders = patchHeaders(responseHeaders)
page = decodePage(page, responseHeaders.get(HTTP_HEADER.CONTENT_ENCODING), responseHeaders.get(HTTP_HEADER.CONTENT_TYPE), percentDecode=not crawling)
except socket.timeout:
warnMsg = "connection timed out while trying "
@@ -921,11 +922,13 @@ class Connect(object):
socket.setdefaulttimeout(conf.timeout)
if conf.retryOn and re.search(conf.retryOn, page, re.I):
if threadData.retriesCount < conf.retries:
warnMsg = "forced retry of the request because of undesired page content"
logger.warn(warnMsg)
return Connect._retryProxy(**kwargs)
# Dirty patch for Python3.11.0a7 (e.g. https://github.com/sqlmapproject/sqlmap/issues/5091)
if not sys.version.startswith("3.11."):
if conf.retryOn and re.search(conf.retryOn, page, re.I):
if threadData.retriesCount < conf.retries:
warnMsg = "forced retry of the request because of undesired page content"
logger.warn(warnMsg)
return Connect._retryProxy(**kwargs)
processResponse(page, responseHeaders, code, status)
@@ -1291,6 +1294,13 @@ class Connect(object):
value = urldecode(value, convall=True, spaceplus=(item == post and kb.postSpaceToPlus))
variables[name] = value
if post and kb.postHint in (POST_HINT.JSON, POST_HINT.JSON_LIKE):
for name, value in (parseJson(post) or {}).items():
if safeVariableNaming(name) != name:
conf.evalCode = re.sub(r"\b%s\b" % re.escape(name), safeVariableNaming(name), conf.evalCode)
name = safeVariableNaming(name)
variables[name] = value
if cookie:
for part in cookie.split(conf.cookieDel or DEFAULT_COOKIE_DELIMITER):
if '=' in part:
@@ -1348,7 +1358,27 @@ class Connect(object):
found = False
value = getUnicode(value, UNICODE_ENCODING)
if kb.postHint and re.search(r"\b%s\b" % re.escape(name), post or ""):
if kb.postHint == POST_HINT.MULTIPART:
boundary = "--%s" % re.search(r"boundary=([^\s]+)", contentType).group(1)
if boundary:
parts = post.split(boundary)
match = re.search(r'\bname="%s"' % re.escape(name), post)
if not match and parts:
parts.insert(2, parts[1])
parts[2] = re.sub(r'\bname="[^"]+".*', 'name="%s"' % re.escape(name), parts[2])
for i in xrange(len(parts)):
part = parts[i]
if re.search(r'\bname="%s"' % re.escape(name), part):
match = re.search(r"(?s)\A.+?\r?\n\r?\n", part)
if match:
found = True
first = match.group(0)
second = part[len(first):]
second = re.sub(r"(?s).+?(\r?\n?\-*\Z)", r"%s\g<1>" % re.escape(value), second)
parts[i] = "%s%s" % (first, second)
post = boundary.join(parts)
elif kb.postHint and re.search(r"\b%s\b" % re.escape(name), post or ""):
if kb.postHint in (POST_HINT.XML, POST_HINT.SOAP):
if re.search(r"<%s\b" % re.escape(name), post):
found = True
@@ -1357,6 +1387,17 @@ class Connect(object):
found = True
post = re.sub(r"(?s)(\b%s>)(.*?)(</[^<]*\b%s>)" % (re.escape(name), re.escape(name)), r"\g<1>%s\g<3>" % value.replace('\\', r'\\'), post)
elif kb.postHint in (POST_HINT.JSON, POST_HINT.JSON_LIKE):
match = re.search(r"['\"]%s['\"]:" % re.escape(name), post)
if match:
quote = match.group(0)[0]
post = post.replace("\\%s" % quote, BOUNDARY_BACKSLASH_MARKER)
match = re.search(r"(%s%s%s:\s*)(\d+|%s[^%s]*%s)" % (quote, re.escape(name), quote, quote, quote, quote), post)
if match:
found = True
post = post.replace(match.group(0), "%s%s" % (match.group(1), value if value.isdigit() else "%s%s%s" % (match.group(0)[0], value, match.group(0)[0])))
post = post.replace(BOUNDARY_BACKSLASH_MARKER, "\\%s" % quote)
regex = r"\b(%s)\b([^\w]+)(\w+)" % re.escape(name)
if not found and re.search(regex, (post or "")):
found = True
@@ -1375,14 +1416,20 @@ class Connect(object):
found = True
uri = re.sub(regex.replace(r"\A", r"\?"), r"\g<1>%s\g<3>" % value.replace('\\', r'\\'), uri)
regex = r"((\A|%s)%s=).+?(%s|\Z)" % (re.escape(conf.cookieDel or DEFAULT_COOKIE_DELIMITER), re.escape(name), re.escape(conf.cookieDel or DEFAULT_COOKIE_DELIMITER))
regex = r"((\A|%s\s*)%s=).+?(%s|\Z)" % (re.escape(conf.cookieDel or DEFAULT_COOKIE_DELIMITER), re.escape(name), re.escape(conf.cookieDel or DEFAULT_COOKIE_DELIMITER))
if re.search(regex, (cookie or "")):
found = True
cookie = re.sub(regex, r"\g<1>%s\g<3>" % value.replace('\\', r'\\'), cookie)
if not found:
if post is not None:
post += "%s%s=%s" % (delimiter, name, value)
if kb.postHint in (POST_HINT.JSON, POST_HINT.JSON_LIKE):
match = re.search(r"['\"]", post)
if match:
quote = match.group(0)
post = re.sub(r"\}\Z", "%s%s}" % (',' if re.search(r"\w", post) else "", "%s%s%s:%s" % (quote, name, quote, value if value.isdigit() else "%s%s%s" % (quote, value, quote))), post)
else:
post += "%s%s=%s" % (delimiter, name, value)
elif get is not None:
get += "%s%s=%s" % (delimiter, name, value)
elif cookie is not None:
@@ -1524,7 +1571,7 @@ class Connect(object):
kb.permissionFlag = True
singleTimeWarnMessage("potential permission problems detected ('%s')" % message)
patchHeaders(headers)
headers = patchHeaders(headers)
if content or response:
return page, headers, code
+2
View File
@@ -126,6 +126,8 @@ def crawl(target, post=None, cookie=None):
pass
except ValueError: # for non-valid links
pass
except AssertionError: # for invalid HTML
pass
finally:
if conf.forms:
threadData.shared.formsFound |= len(findPageForms(content, current, False, True)) > 0
+19 -7
View File
@@ -12,6 +12,13 @@ try:
except: # removed ImportError because of https://github.com/sqlmapproject/sqlmap/issues/3171
from thirdparty.fcrypt.fcrypt import crypt
try:
from Crypto.Cipher.DES import MODE_CBC as CBC
from Crypto.Cipher.DES import new as des
except:
from thirdparty.pydes.pyDes import CBC
from thirdparty.pydes.pyDes import des
_multiprocessing = None
import base64
@@ -80,8 +87,6 @@ from lib.core.settings import UNICODE_ENCODING
from lib.core.wordlist import Wordlist
from thirdparty import six
from thirdparty.colorama.initialise import init as coloramainit
from thirdparty.pydes.pyDes import CBC
from thirdparty.pydes.pyDes import des
from thirdparty.six.moves import queue as _queue
def mysql_passwd(password, uppercase=True):
@@ -219,14 +224,21 @@ def oracle_old_passwd(password, username, uppercase=True): # prior to version '
'F894844C34402B67'
"""
IV, pad = "\0" * 8, "\0"
IV, pad = b"\0" * 8, b"\0"
unistr = b"".join((b"\0" + _.encode(UNICODE_ENCODING)) if ord(_) < 256 else _.encode(UNICODE_ENCODING) for _ in (username + password).upper())
cipher = des(decodeHex("0123456789ABCDEF"), CBC, IV, pad)
encrypted = cipher.encrypt(unistr)
cipher = des(encrypted[-8:], CBC, IV, pad)
encrypted = cipher.encrypt(unistr)
if des.__module__ == "Crypto.Cipher.DES":
unistr += b"\0" * ((8 - len(unistr) % 8) & 7)
cipher = des(decodeHex("0123456789ABCDEF"), CBC, iv=IV)
encrypted = cipher.encrypt(unistr)
cipher = des(encrypted[-8:], CBC, iv=IV)
encrypted = cipher.encrypt(unistr)
else:
cipher = des(decodeHex("0123456789ABCDEF"), CBC, IV, pad)
encrypted = cipher.encrypt(unistr)
cipher = des(encrypted[-8:], CBC, IV, pad)
encrypted = cipher.encrypt(unistr)
retVal = encodeHex(encrypted[-8:], binary=False)
+5
View File
@@ -62,6 +62,7 @@ class HashDB(object):
threadData = getCurrentThreadData()
try:
if threadData.hashDBCursor:
threadData.hashDBCursor.connection.commit()
threadData.hashDBCursor.close()
threadData.hashDBCursor.connection.close()
threadData.hashDBCursor = None
@@ -197,6 +198,10 @@ class HashDB(object):
threadData.inTransaction = False
except sqlite3.OperationalError:
pass
except sqlite3.ProgrammingError:
self.cursor = None
threadData.inTransaction = False
return
else:
return
+1 -2
View File
@@ -166,9 +166,8 @@ class Fingerprint(GenericFingerprint):
if not conf.extensiveFp and Backend.isDbmsWithin(MYSQL_ALIASES):
setDbms("%s %s" % (DBMS.MYSQL, Backend.getVersion()))
if Backend.isVersionGreaterOrEqualThan("5"):
if Backend.isVersionGreaterOrEqualThan("5") or inject.checkBooleanExpression("DATABASE() LIKE SCHEMA()"):
kb.data.has_information_schema = True
self.getBanner()
return True
+2 -2
View File
@@ -114,8 +114,8 @@ class Takeover(GenericTakeover):
output = flattenValue(output)
output = filterNone(output)
if not isNoneValue(output):
output = os.linesep.join(output)
if not isNoneValue(output):
output = os.linesep.join(output)
self._cleanupCmd = "DROP TABLE %s" % self.cmdTblName
inject.goStacked(self._cleanupCmd)
+5 -1
View File
@@ -833,10 +833,14 @@ dependencies = False
# Valid: True or False
disableColoring = False
# Display list of available tamper scripts
# Display list of available tamper scripts.
# Valid: True or False
listTampers = False
# Disable logging to a file.
# Valid: True or False
noLogging = False
# Work in offline mode (only use session data)
# Valid: True or False
offline = False
+26 -7
View File
@@ -61,12 +61,12 @@ try:
from lib.core.common import MKSTEMP_PREFIX
from lib.core.common import setColor
from lib.core.common import unhandledExceptionMessage
from lib.core.compat import LooseVersion
from lib.core.compat import xrange
from lib.core.data import cmdLineOptions
from lib.core.data import conf
from lib.core.data import kb
from lib.core.datatype import OrderedSet
from lib.core.compat import LooseVersion
from lib.core.compat import xrange
from lib.core.exception import SqlmapBaseException
from lib.core.exception import SqlmapShellQuitException
from lib.core.exception import SqlmapSilentQuitException
@@ -161,6 +161,7 @@ def main():
# to an IPC database
sys.stdout = StdDbOut(conf.taskid, messagetype="stdout")
sys.stderr = StdDbOut(conf.taskid, messagetype="stderr")
setRestAPILog()
conf.showTime = True
@@ -337,6 +338,12 @@ def main():
logger.critical(errMsg)
raise SystemExit
elif "invalid maximum character passed to PyUnicode_New" in excMsg and re.search(r"\A3\.[34]", sys.version) is not None:
errMsg = "please upgrade the Python version (>= 3.5) "
errMsg += "(Reference: 'https://bugs.python.org/issue18183')"
logger.critical(errMsg)
raise SystemExit
elif all(_ in excMsg for _ in ("scramble_caching_sha2", "TypeError")):
errMsg = "please downgrade the 'PyMySQL' package (=< 0.8.1) "
errMsg += "(Reference: 'https://github.com/PyMySQL/PyMySQL/issues/700')"
@@ -362,6 +369,12 @@ def main():
logger.critical(errMsg)
raise SystemExit
elif "AttributeError: unable to access item" in excMsg and re.search(r"3\.11\.\d+a", sys.version):
errMsg = "there is a known issue when sqlmap is run with ALPHA versions of Python 3.11. "
errMsg += "Please downgrade to some stable Python version"
logger.critical(errMsg)
raise SystemExit
elif all(_ in excMsg for _ in ("Resource temporarily unavailable", "os.fork()", "dictionaryAttack")):
errMsg = "there has been a problem while running the multiprocessing hash cracking. "
errMsg += "Please rerun with option '--threads=1'"
@@ -383,17 +396,17 @@ def main():
raise SystemExit
elif all(_ in excMsg for _ in ("pymysql", "configparser")):
errMsg = "wrong initialization of pymsql detected (using Python3 dependencies)"
errMsg = "wrong initialization of 'pymsql' detected (using Python3 dependencies)"
logger.critical(errMsg)
raise SystemExit
elif all(_ in excMsg for _ in ("ntlm", "socket.error, err", "SyntaxError")):
errMsg = "wrong initialization of python-ntlm detected (using Python2 syntax)"
errMsg = "wrong initialization of 'python-ntlm' detected (using Python2 syntax)"
logger.critical(errMsg)
raise SystemExit
elif all(_ in excMsg for _ in ("drda", "to_bytes")):
errMsg = "wrong initialization of drda detected (using Python3 syntax)"
errMsg = "wrong initialization of 'drda' detected (using Python3 syntax)"
logger.critical(errMsg)
raise SystemExit
@@ -429,7 +442,7 @@ def main():
dataToStdout(excMsg)
raise SystemExit
elif any(_ in excMsg for _ in ("tamper/", "waf/")):
elif any(_ in "%s\n%s" % (errMsg, excMsg) for _ in ("tamper/", "waf/", "--engagement-dojo")):
logger.critical(errMsg)
print()
dataToStdout(excMsg)
@@ -445,6 +458,12 @@ def main():
logger.critical(errMsg)
raise SystemExit
elif all(_ in excMsg for _ in ("PermissionError: [WinError 5]", "multiprocessing")):
errMsg = "there is a permission problem in running multiprocessing on this system. "
errMsg += "Please rerun with '--disable-multi'"
logger.critical(errMsg)
raise SystemExit
elif all(_ in excMsg for _ in ("No such file", "_'")):
errMsg = "corrupted installation detected ('%s'). " % excMsg.strip().split('\n')[-1]
errMsg += "You should retrieve the latest development version from official GitHub "
@@ -579,5 +598,5 @@ if __name__ == "__main__":
else:
sys.exit(getattr(os, "_exitcode", 0))
else:
# cancelling postponed imports (because of Travis CI checks)
# cancelling postponed imports (because of CI/CD checks)
__import__("lib.controller.controller")
+5 -5
View File
@@ -1363,7 +1363,7 @@ class BaseRequest(object):
def _get_body_string(self, maxread):
""" Read body into a string. Raise HTTPError(413) on requests that are
to large. """
too large. """
if self.content_length > maxread:
raise HTTPError(413, 'Request entity too large')
data = self.body.read(maxread + 1)
@@ -1594,7 +1594,7 @@ class BaseRequest(object):
def __setattr__(self, name, value):
if name == 'environ': return object.__setattr__(self, name, value)
key = 'bottle.request.ext.%s' % name
if key in self.environ:
if hasattr(self, name):
raise AttributeError("Attribute already defined: %s" % name)
self.environ[key] = value
@@ -1655,7 +1655,7 @@ class BaseResponse(object):
default_status = 200
default_content_type = 'text/html; charset=UTF-8'
# Header blacklist for specific response codes
# Header denylist for specific response codes
# (rfc2616 section 10.2.3 and 10.3.5)
bad_headers = {
204: frozenset(('Content-Type', 'Content-Length')),
@@ -2928,8 +2928,8 @@ def static_file(filename, root,
ims = getenv('HTTP_IF_MODIFIED_SINCE')
if ims:
ims = parse_date(ims.split(";")[0].strip())
if ims is not None and ims >= int(stats.st_mtime):
return HTTPResponse(status=304, **headers)
if ims is not None and ims >= int(stats.st_mtime):
return HTTPResponse(status=304, **headers)
body = '' if request.method == 'HEAD' else open(filename, 'rb')
+19 -12
View File
@@ -15,18 +15,25 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
__version__ = "2.3.0"
from sys import version_info
from .compat import PY2, PY3
from .universaldetector import UniversalDetector
from .version import __version__, VERSION
def detect(aBuf):
if ((version_info < (3, 0) and isinstance(aBuf, unicode)) or
(version_info >= (3, 0) and not isinstance(aBuf, bytes))):
raise ValueError('Expected a bytes object, not a unicode object')
def detect(byte_str):
"""
Detect the encoding of the given byte string.
from . import universaldetector
u = universaldetector.UniversalDetector()
u.reset()
u.feed(aBuf)
u.close()
return u.result
:param byte_str: The byte sequence to examine.
:type byte_str: ``bytes`` or ``bytearray``
"""
if not isinstance(byte_str, bytearray):
if not isinstance(byte_str, bytes):
raise TypeError('Expected object of type bytes or bytearray, got: '
'{0}'.format(type(byte_str)))
else:
byte_str = bytearray(byte_str)
detector = UniversalDetector()
detector.feed(byte_str)
return detector.close()
+3 -542
View File
@@ -45,7 +45,7 @@ BIG5_TYPICAL_DISTRIBUTION_RATIO = 0.75
#Char to FreqOrder table
BIG5_TABLE_SIZE = 5376
Big5CharToFreqOrder = (
BIG5_CHAR_TO_FREQ_ORDER = (
1,1801,1506, 255,1431, 198, 9, 82, 6,5008, 177, 202,3681,1256,2821, 110, # 16
3814, 33,3274, 261, 76, 44,2114, 16,2946,2187,1176, 659,3971, 26,3451,2653, # 32
1198,3972,3350,4202, 410,2215, 302, 590, 361,1964, 8, 204, 58,4510,5009,1932, # 48
@@ -381,545 +381,6 @@ Big5CharToFreqOrder = (
938,3941, 553,2680, 116,5783,3942,3667,5784,3545,2681,2783,3438,3344,2820,5785, # 5328
3668,2943,4160,1747,2944,2983,5786,5787, 207,5788,4809,5789,4810,2521,5790,3033, # 5344
890,3669,3943,5791,1878,3798,3439,5792,2186,2358,3440,1652,5793,5794,5795, 941, # 5360
2299, 208,3546,4161,2020, 330,4438,3944,2906,2499,3799,4439,4811,5796,5797,5798, # 5376 #last 512
#Everything below is of no interest for detection purpose
2522,1613,4812,5799,3345,3945,2523,5800,4162,5801,1637,4163,2471,4813,3946,5802, # 5392
2500,3034,3800,5803,5804,2195,4814,5805,2163,5806,5807,5808,5809,5810,5811,5812, # 5408
5813,5814,5815,5816,5817,5818,5819,5820,5821,5822,5823,5824,5825,5826,5827,5828, # 5424
5829,5830,5831,5832,5833,5834,5835,5836,5837,5838,5839,5840,5841,5842,5843,5844, # 5440
5845,5846,5847,5848,5849,5850,5851,5852,5853,5854,5855,5856,5857,5858,5859,5860, # 5456
5861,5862,5863,5864,5865,5866,5867,5868,5869,5870,5871,5872,5873,5874,5875,5876, # 5472
5877,5878,5879,5880,5881,5882,5883,5884,5885,5886,5887,5888,5889,5890,5891,5892, # 5488
5893,5894,5895,5896,5897,5898,5899,5900,5901,5902,5903,5904,5905,5906,5907,5908, # 5504
5909,5910,5911,5912,5913,5914,5915,5916,5917,5918,5919,5920,5921,5922,5923,5924, # 5520
5925,5926,5927,5928,5929,5930,5931,5932,5933,5934,5935,5936,5937,5938,5939,5940, # 5536
5941,5942,5943,5944,5945,5946,5947,5948,5949,5950,5951,5952,5953,5954,5955,5956, # 5552
5957,5958,5959,5960,5961,5962,5963,5964,5965,5966,5967,5968,5969,5970,5971,5972, # 5568
5973,5974,5975,5976,5977,5978,5979,5980,5981,5982,5983,5984,5985,5986,5987,5988, # 5584
5989,5990,5991,5992,5993,5994,5995,5996,5997,5998,5999,6000,6001,6002,6003,6004, # 5600
6005,6006,6007,6008,6009,6010,6011,6012,6013,6014,6015,6016,6017,6018,6019,6020, # 5616
6021,6022,6023,6024,6025,6026,6027,6028,6029,6030,6031,6032,6033,6034,6035,6036, # 5632
6037,6038,6039,6040,6041,6042,6043,6044,6045,6046,6047,6048,6049,6050,6051,6052, # 5648
6053,6054,6055,6056,6057,6058,6059,6060,6061,6062,6063,6064,6065,6066,6067,6068, # 5664
6069,6070,6071,6072,6073,6074,6075,6076,6077,6078,6079,6080,6081,6082,6083,6084, # 5680
6085,6086,6087,6088,6089,6090,6091,6092,6093,6094,6095,6096,6097,6098,6099,6100, # 5696
6101,6102,6103,6104,6105,6106,6107,6108,6109,6110,6111,6112,6113,6114,6115,6116, # 5712
6117,6118,6119,6120,6121,6122,6123,6124,6125,6126,6127,6128,6129,6130,6131,6132, # 5728
6133,6134,6135,6136,6137,6138,6139,6140,6141,6142,6143,6144,6145,6146,6147,6148, # 5744
6149,6150,6151,6152,6153,6154,6155,6156,6157,6158,6159,6160,6161,6162,6163,6164, # 5760
6165,6166,6167,6168,6169,6170,6171,6172,6173,6174,6175,6176,6177,6178,6179,6180, # 5776
6181,6182,6183,6184,6185,6186,6187,6188,6189,6190,6191,6192,6193,6194,6195,6196, # 5792
6197,6198,6199,6200,6201,6202,6203,6204,6205,6206,6207,6208,6209,6210,6211,6212, # 5808
6213,6214,6215,6216,6217,6218,6219,6220,6221,6222,6223,3670,6224,6225,6226,6227, # 5824
6228,6229,6230,6231,6232,6233,6234,6235,6236,6237,6238,6239,6240,6241,6242,6243, # 5840
6244,6245,6246,6247,6248,6249,6250,6251,6252,6253,6254,6255,6256,6257,6258,6259, # 5856
6260,6261,6262,6263,6264,6265,6266,6267,6268,6269,6270,6271,6272,6273,6274,6275, # 5872
6276,6277,6278,6279,6280,6281,6282,6283,6284,6285,4815,6286,6287,6288,6289,6290, # 5888
6291,6292,4816,6293,6294,6295,6296,6297,6298,6299,6300,6301,6302,6303,6304,6305, # 5904
6306,6307,6308,6309,6310,6311,4817,4818,6312,6313,6314,6315,6316,6317,6318,4819, # 5920
6319,6320,6321,6322,6323,6324,6325,6326,6327,6328,6329,6330,6331,6332,6333,6334, # 5936
6335,6336,6337,4820,6338,6339,6340,6341,6342,6343,6344,6345,6346,6347,6348,6349, # 5952
6350,6351,6352,6353,6354,6355,6356,6357,6358,6359,6360,6361,6362,6363,6364,6365, # 5968
6366,6367,6368,6369,6370,6371,6372,6373,6374,6375,6376,6377,6378,6379,6380,6381, # 5984
6382,6383,6384,6385,6386,6387,6388,6389,6390,6391,6392,6393,6394,6395,6396,6397, # 6000
6398,6399,6400,6401,6402,6403,6404,6405,6406,6407,6408,6409,6410,3441,6411,6412, # 6016
6413,6414,6415,6416,6417,6418,6419,6420,6421,6422,6423,6424,6425,4440,6426,6427, # 6032
6428,6429,6430,6431,6432,6433,6434,6435,6436,6437,6438,6439,6440,6441,6442,6443, # 6048
6444,6445,6446,6447,6448,6449,6450,6451,6452,6453,6454,4821,6455,6456,6457,6458, # 6064
6459,6460,6461,6462,6463,6464,6465,6466,6467,6468,6469,6470,6471,6472,6473,6474, # 6080
6475,6476,6477,3947,3948,6478,6479,6480,6481,3272,4441,6482,6483,6484,6485,4442, # 6096
6486,6487,6488,6489,6490,6491,6492,6493,6494,6495,6496,4822,6497,6498,6499,6500, # 6112
6501,6502,6503,6504,6505,6506,6507,6508,6509,6510,6511,6512,6513,6514,6515,6516, # 6128
6517,6518,6519,6520,6521,6522,6523,6524,6525,6526,6527,6528,6529,6530,6531,6532, # 6144
6533,6534,6535,6536,6537,6538,6539,6540,6541,6542,6543,6544,6545,6546,6547,6548, # 6160
6549,6550,6551,6552,6553,6554,6555,6556,2784,6557,4823,6558,6559,6560,6561,6562, # 6176
6563,6564,6565,6566,6567,6568,6569,3949,6570,6571,6572,4824,6573,6574,6575,6576, # 6192
6577,6578,6579,6580,6581,6582,6583,4825,6584,6585,6586,3950,2785,6587,6588,6589, # 6208
6590,6591,6592,6593,6594,6595,6596,6597,6598,6599,6600,6601,6602,6603,6604,6605, # 6224
6606,6607,6608,6609,6610,6611,6612,4826,6613,6614,6615,4827,6616,6617,6618,6619, # 6240
6620,6621,6622,6623,6624,6625,4164,6626,6627,6628,6629,6630,6631,6632,6633,6634, # 6256
3547,6635,4828,6636,6637,6638,6639,6640,6641,6642,3951,2984,6643,6644,6645,6646, # 6272
6647,6648,6649,4165,6650,4829,6651,6652,4830,6653,6654,6655,6656,6657,6658,6659, # 6288
6660,6661,6662,4831,6663,6664,6665,6666,6667,6668,6669,6670,6671,4166,6672,4832, # 6304
3952,6673,6674,6675,6676,4833,6677,6678,6679,4167,6680,6681,6682,3198,6683,6684, # 6320
6685,6686,6687,6688,6689,6690,6691,6692,6693,6694,6695,6696,6697,4834,6698,6699, # 6336
6700,6701,6702,6703,6704,6705,6706,6707,6708,6709,6710,6711,6712,6713,6714,6715, # 6352
6716,6717,6718,6719,6720,6721,6722,6723,6724,6725,6726,6727,6728,6729,6730,6731, # 6368
6732,6733,6734,4443,6735,6736,6737,6738,6739,6740,6741,6742,6743,6744,6745,4444, # 6384
6746,6747,6748,6749,6750,6751,6752,6753,6754,6755,6756,6757,6758,6759,6760,6761, # 6400
6762,6763,6764,6765,6766,6767,6768,6769,6770,6771,6772,6773,6774,6775,6776,6777, # 6416
6778,6779,6780,6781,4168,6782,6783,3442,6784,6785,6786,6787,6788,6789,6790,6791, # 6432
4169,6792,6793,6794,6795,6796,6797,6798,6799,6800,6801,6802,6803,6804,6805,6806, # 6448
6807,6808,6809,6810,6811,4835,6812,6813,6814,4445,6815,6816,4446,6817,6818,6819, # 6464
6820,6821,6822,6823,6824,6825,6826,6827,6828,6829,6830,6831,6832,6833,6834,6835, # 6480
3548,6836,6837,6838,6839,6840,6841,6842,6843,6844,6845,6846,4836,6847,6848,6849, # 6496
6850,6851,6852,6853,6854,3953,6855,6856,6857,6858,6859,6860,6861,6862,6863,6864, # 6512
6865,6866,6867,6868,6869,6870,6871,6872,6873,6874,6875,6876,6877,3199,6878,6879, # 6528
6880,6881,6882,4447,6883,6884,6885,6886,6887,6888,6889,6890,6891,6892,6893,6894, # 6544
6895,6896,6897,6898,6899,6900,6901,6902,6903,6904,4170,6905,6906,6907,6908,6909, # 6560
6910,6911,6912,6913,6914,6915,6916,6917,6918,6919,6920,6921,6922,6923,6924,6925, # 6576
6926,6927,4837,6928,6929,6930,6931,6932,6933,6934,6935,6936,3346,6937,6938,4838, # 6592
6939,6940,6941,4448,6942,6943,6944,6945,6946,4449,6947,6948,6949,6950,6951,6952, # 6608
6953,6954,6955,6956,6957,6958,6959,6960,6961,6962,6963,6964,6965,6966,6967,6968, # 6624
6969,6970,6971,6972,6973,6974,6975,6976,6977,6978,6979,6980,6981,6982,6983,6984, # 6640
6985,6986,6987,6988,6989,6990,6991,6992,6993,6994,3671,6995,6996,6997,6998,4839, # 6656
6999,7000,7001,7002,3549,7003,7004,7005,7006,7007,7008,7009,7010,7011,7012,7013, # 6672
7014,7015,7016,7017,7018,7019,7020,7021,7022,7023,7024,7025,7026,7027,7028,7029, # 6688
7030,4840,7031,7032,7033,7034,7035,7036,7037,7038,4841,7039,7040,7041,7042,7043, # 6704
7044,7045,7046,7047,7048,7049,7050,7051,7052,7053,7054,7055,7056,7057,7058,7059, # 6720
7060,7061,7062,7063,7064,7065,7066,7067,7068,7069,7070,2985,7071,7072,7073,7074, # 6736
7075,7076,7077,7078,7079,7080,4842,7081,7082,7083,7084,7085,7086,7087,7088,7089, # 6752
7090,7091,7092,7093,7094,7095,7096,7097,7098,7099,7100,7101,7102,7103,7104,7105, # 6768
7106,7107,7108,7109,7110,7111,7112,7113,7114,7115,7116,7117,7118,4450,7119,7120, # 6784
7121,7122,7123,7124,7125,7126,7127,7128,7129,7130,7131,7132,7133,7134,7135,7136, # 6800
7137,7138,7139,7140,7141,7142,7143,4843,7144,7145,7146,7147,7148,7149,7150,7151, # 6816
7152,7153,7154,7155,7156,7157,7158,7159,7160,7161,7162,7163,7164,7165,7166,7167, # 6832
7168,7169,7170,7171,7172,7173,7174,7175,7176,7177,7178,7179,7180,7181,7182,7183, # 6848
7184,7185,7186,7187,7188,4171,4172,7189,7190,7191,7192,7193,7194,7195,7196,7197, # 6864
7198,7199,7200,7201,7202,7203,7204,7205,7206,7207,7208,7209,7210,7211,7212,7213, # 6880
7214,7215,7216,7217,7218,7219,7220,7221,7222,7223,7224,7225,7226,7227,7228,7229, # 6896
7230,7231,7232,7233,7234,7235,7236,7237,7238,7239,7240,7241,7242,7243,7244,7245, # 6912
7246,7247,7248,7249,7250,7251,7252,7253,7254,7255,7256,7257,7258,7259,7260,7261, # 6928
7262,7263,7264,7265,7266,7267,7268,7269,7270,7271,7272,7273,7274,7275,7276,7277, # 6944
7278,7279,7280,7281,7282,7283,7284,7285,7286,7287,7288,7289,7290,7291,7292,7293, # 6960
7294,7295,7296,4844,7297,7298,7299,7300,7301,7302,7303,7304,7305,7306,7307,7308, # 6976
7309,7310,7311,7312,7313,7314,7315,7316,4451,7317,7318,7319,7320,7321,7322,7323, # 6992
7324,7325,7326,7327,7328,7329,7330,7331,7332,7333,7334,7335,7336,7337,7338,7339, # 7008
7340,7341,7342,7343,7344,7345,7346,7347,7348,7349,7350,7351,7352,7353,4173,7354, # 7024
7355,4845,7356,7357,7358,7359,7360,7361,7362,7363,7364,7365,7366,7367,7368,7369, # 7040
7370,7371,7372,7373,7374,7375,7376,7377,7378,7379,7380,7381,7382,7383,7384,7385, # 7056
7386,7387,7388,4846,7389,7390,7391,7392,7393,7394,7395,7396,7397,7398,7399,7400, # 7072
7401,7402,7403,7404,7405,3672,7406,7407,7408,7409,7410,7411,7412,7413,7414,7415, # 7088
7416,7417,7418,7419,7420,7421,7422,7423,7424,7425,7426,7427,7428,7429,7430,7431, # 7104
7432,7433,7434,7435,7436,7437,7438,7439,7440,7441,7442,7443,7444,7445,7446,7447, # 7120
7448,7449,7450,7451,7452,7453,4452,7454,3200,7455,7456,7457,7458,7459,7460,7461, # 7136
7462,7463,7464,7465,7466,7467,7468,7469,7470,7471,7472,7473,7474,4847,7475,7476, # 7152
7477,3133,7478,7479,7480,7481,7482,7483,7484,7485,7486,7487,7488,7489,7490,7491, # 7168
7492,7493,7494,7495,7496,7497,7498,7499,7500,7501,7502,3347,7503,7504,7505,7506, # 7184
7507,7508,7509,7510,7511,7512,7513,7514,7515,7516,7517,7518,7519,7520,7521,4848, # 7200
7522,7523,7524,7525,7526,7527,7528,7529,7530,7531,7532,7533,7534,7535,7536,7537, # 7216
7538,7539,7540,7541,7542,7543,7544,7545,7546,7547,7548,7549,3801,4849,7550,7551, # 7232
7552,7553,7554,7555,7556,7557,7558,7559,7560,7561,7562,7563,7564,7565,7566,7567, # 7248
7568,7569,3035,7570,7571,7572,7573,7574,7575,7576,7577,7578,7579,7580,7581,7582, # 7264
7583,7584,7585,7586,7587,7588,7589,7590,7591,7592,7593,7594,7595,7596,7597,7598, # 7280
7599,7600,7601,7602,7603,7604,7605,7606,7607,7608,7609,7610,7611,7612,7613,7614, # 7296
7615,7616,4850,7617,7618,3802,7619,7620,7621,7622,7623,7624,7625,7626,7627,7628, # 7312
7629,7630,7631,7632,4851,7633,7634,7635,7636,7637,7638,7639,7640,7641,7642,7643, # 7328
7644,7645,7646,7647,7648,7649,7650,7651,7652,7653,7654,7655,7656,7657,7658,7659, # 7344
7660,7661,7662,7663,7664,7665,7666,7667,7668,7669,7670,4453,7671,7672,7673,7674, # 7360
7675,7676,7677,7678,7679,7680,7681,7682,7683,7684,7685,7686,7687,7688,7689,7690, # 7376
7691,7692,7693,7694,7695,7696,7697,3443,7698,7699,7700,7701,7702,4454,7703,7704, # 7392
7705,7706,7707,7708,7709,7710,7711,7712,7713,2472,7714,7715,7716,7717,7718,7719, # 7408
7720,7721,7722,7723,7724,7725,7726,7727,7728,7729,7730,7731,3954,7732,7733,7734, # 7424
7735,7736,7737,7738,7739,7740,7741,7742,7743,7744,7745,7746,7747,7748,7749,7750, # 7440
3134,7751,7752,4852,7753,7754,7755,4853,7756,7757,7758,7759,7760,4174,7761,7762, # 7456
7763,7764,7765,7766,7767,7768,7769,7770,7771,7772,7773,7774,7775,7776,7777,7778, # 7472
7779,7780,7781,7782,7783,7784,7785,7786,7787,7788,7789,7790,7791,7792,7793,7794, # 7488
7795,7796,7797,7798,7799,7800,7801,7802,7803,7804,7805,4854,7806,7807,7808,7809, # 7504
7810,7811,7812,7813,7814,7815,7816,7817,7818,7819,7820,7821,7822,7823,7824,7825, # 7520
4855,7826,7827,7828,7829,7830,7831,7832,7833,7834,7835,7836,7837,7838,7839,7840, # 7536
7841,7842,7843,7844,7845,7846,7847,3955,7848,7849,7850,7851,7852,7853,7854,7855, # 7552
7856,7857,7858,7859,7860,3444,7861,7862,7863,7864,7865,7866,7867,7868,7869,7870, # 7568
7871,7872,7873,7874,7875,7876,7877,7878,7879,7880,7881,7882,7883,7884,7885,7886, # 7584
7887,7888,7889,7890,7891,4175,7892,7893,7894,7895,7896,4856,4857,7897,7898,7899, # 7600
7900,2598,7901,7902,7903,7904,7905,7906,7907,7908,4455,7909,7910,7911,7912,7913, # 7616
7914,3201,7915,7916,7917,7918,7919,7920,7921,4858,7922,7923,7924,7925,7926,7927, # 7632
7928,7929,7930,7931,7932,7933,7934,7935,7936,7937,7938,7939,7940,7941,7942,7943, # 7648
7944,7945,7946,7947,7948,7949,7950,7951,7952,7953,7954,7955,7956,7957,7958,7959, # 7664
7960,7961,7962,7963,7964,7965,7966,7967,7968,7969,7970,7971,7972,7973,7974,7975, # 7680
7976,7977,7978,7979,7980,7981,4859,7982,7983,7984,7985,7986,7987,7988,7989,7990, # 7696
7991,7992,7993,7994,7995,7996,4860,7997,7998,7999,8000,8001,8002,8003,8004,8005, # 7712
8006,8007,8008,8009,8010,8011,8012,8013,8014,8015,8016,4176,8017,8018,8019,8020, # 7728
8021,8022,8023,4861,8024,8025,8026,8027,8028,8029,8030,8031,8032,8033,8034,8035, # 7744
8036,4862,4456,8037,8038,8039,8040,4863,8041,8042,8043,8044,8045,8046,8047,8048, # 7760
8049,8050,8051,8052,8053,8054,8055,8056,8057,8058,8059,8060,8061,8062,8063,8064, # 7776
8065,8066,8067,8068,8069,8070,8071,8072,8073,8074,8075,8076,8077,8078,8079,8080, # 7792
8081,8082,8083,8084,8085,8086,8087,8088,8089,8090,8091,8092,8093,8094,8095,8096, # 7808
8097,8098,8099,4864,4177,8100,8101,8102,8103,8104,8105,8106,8107,8108,8109,8110, # 7824
8111,8112,8113,8114,8115,8116,8117,8118,8119,8120,4178,8121,8122,8123,8124,8125, # 7840
8126,8127,8128,8129,8130,8131,8132,8133,8134,8135,8136,8137,8138,8139,8140,8141, # 7856
8142,8143,8144,8145,4865,4866,8146,8147,8148,8149,8150,8151,8152,8153,8154,8155, # 7872
8156,8157,8158,8159,8160,8161,8162,8163,8164,8165,4179,8166,8167,8168,8169,8170, # 7888
8171,8172,8173,8174,8175,8176,8177,8178,8179,8180,8181,4457,8182,8183,8184,8185, # 7904
8186,8187,8188,8189,8190,8191,8192,8193,8194,8195,8196,8197,8198,8199,8200,8201, # 7920
8202,8203,8204,8205,8206,8207,8208,8209,8210,8211,8212,8213,8214,8215,8216,8217, # 7936
8218,8219,8220,8221,8222,8223,8224,8225,8226,8227,8228,8229,8230,8231,8232,8233, # 7952
8234,8235,8236,8237,8238,8239,8240,8241,8242,8243,8244,8245,8246,8247,8248,8249, # 7968
8250,8251,8252,8253,8254,8255,8256,3445,8257,8258,8259,8260,8261,8262,4458,8263, # 7984
8264,8265,8266,8267,8268,8269,8270,8271,8272,4459,8273,8274,8275,8276,3550,8277, # 8000
8278,8279,8280,8281,8282,8283,8284,8285,8286,8287,8288,8289,4460,8290,8291,8292, # 8016
8293,8294,8295,8296,8297,8298,8299,8300,8301,8302,8303,8304,8305,8306,8307,4867, # 8032
8308,8309,8310,8311,8312,3551,8313,8314,8315,8316,8317,8318,8319,8320,8321,8322, # 8048
8323,8324,8325,8326,4868,8327,8328,8329,8330,8331,8332,8333,8334,8335,8336,8337, # 8064
8338,8339,8340,8341,8342,8343,8344,8345,8346,8347,8348,8349,8350,8351,8352,8353, # 8080
8354,8355,8356,8357,8358,8359,8360,8361,8362,8363,4869,4461,8364,8365,8366,8367, # 8096
8368,8369,8370,4870,8371,8372,8373,8374,8375,8376,8377,8378,8379,8380,8381,8382, # 8112
8383,8384,8385,8386,8387,8388,8389,8390,8391,8392,8393,8394,8395,8396,8397,8398, # 8128
8399,8400,8401,8402,8403,8404,8405,8406,8407,8408,8409,8410,4871,8411,8412,8413, # 8144
8414,8415,8416,8417,8418,8419,8420,8421,8422,4462,8423,8424,8425,8426,8427,8428, # 8160
8429,8430,8431,8432,8433,2986,8434,8435,8436,8437,8438,8439,8440,8441,8442,8443, # 8176
8444,8445,8446,8447,8448,8449,8450,8451,8452,8453,8454,8455,8456,8457,8458,8459, # 8192
8460,8461,8462,8463,8464,8465,8466,8467,8468,8469,8470,8471,8472,8473,8474,8475, # 8208
8476,8477,8478,4180,8479,8480,8481,8482,8483,8484,8485,8486,8487,8488,8489,8490, # 8224
8491,8492,8493,8494,8495,8496,8497,8498,8499,8500,8501,8502,8503,8504,8505,8506, # 8240
8507,8508,8509,8510,8511,8512,8513,8514,8515,8516,8517,8518,8519,8520,8521,8522, # 8256
8523,8524,8525,8526,8527,8528,8529,8530,8531,8532,8533,8534,8535,8536,8537,8538, # 8272
8539,8540,8541,8542,8543,8544,8545,8546,8547,8548,8549,8550,8551,8552,8553,8554, # 8288
8555,8556,8557,8558,8559,8560,8561,8562,8563,8564,4872,8565,8566,8567,8568,8569, # 8304
8570,8571,8572,8573,4873,8574,8575,8576,8577,8578,8579,8580,8581,8582,8583,8584, # 8320
8585,8586,8587,8588,8589,8590,8591,8592,8593,8594,8595,8596,8597,8598,8599,8600, # 8336
8601,8602,8603,8604,8605,3803,8606,8607,8608,8609,8610,8611,8612,8613,4874,3804, # 8352
8614,8615,8616,8617,8618,8619,8620,8621,3956,8622,8623,8624,8625,8626,8627,8628, # 8368
8629,8630,8631,8632,8633,8634,8635,8636,8637,8638,2865,8639,8640,8641,8642,8643, # 8384
8644,8645,8646,8647,8648,8649,8650,8651,8652,8653,8654,8655,8656,4463,8657,8658, # 8400
8659,4875,4876,8660,8661,8662,8663,8664,8665,8666,8667,8668,8669,8670,8671,8672, # 8416
8673,8674,8675,8676,8677,8678,8679,8680,8681,4464,8682,8683,8684,8685,8686,8687, # 8432
8688,8689,8690,8691,8692,8693,8694,8695,8696,8697,8698,8699,8700,8701,8702,8703, # 8448
8704,8705,8706,8707,8708,8709,2261,8710,8711,8712,8713,8714,8715,8716,8717,8718, # 8464
8719,8720,8721,8722,8723,8724,8725,8726,8727,8728,8729,8730,8731,8732,8733,4181, # 8480
8734,8735,8736,8737,8738,8739,8740,8741,8742,8743,8744,8745,8746,8747,8748,8749, # 8496
8750,8751,8752,8753,8754,8755,8756,8757,8758,8759,8760,8761,8762,8763,4877,8764, # 8512
8765,8766,8767,8768,8769,8770,8771,8772,8773,8774,8775,8776,8777,8778,8779,8780, # 8528
8781,8782,8783,8784,8785,8786,8787,8788,4878,8789,4879,8790,8791,8792,4880,8793, # 8544
8794,8795,8796,8797,8798,8799,8800,8801,4881,8802,8803,8804,8805,8806,8807,8808, # 8560
8809,8810,8811,8812,8813,8814,8815,3957,8816,8817,8818,8819,8820,8821,8822,8823, # 8576
8824,8825,8826,8827,8828,8829,8830,8831,8832,8833,8834,8835,8836,8837,8838,8839, # 8592
8840,8841,8842,8843,8844,8845,8846,8847,4882,8848,8849,8850,8851,8852,8853,8854, # 8608
8855,8856,8857,8858,8859,8860,8861,8862,8863,8864,8865,8866,8867,8868,8869,8870, # 8624
8871,8872,8873,8874,8875,8876,8877,8878,8879,8880,8881,8882,8883,8884,3202,8885, # 8640
8886,8887,8888,8889,8890,8891,8892,8893,8894,8895,8896,8897,8898,8899,8900,8901, # 8656
8902,8903,8904,8905,8906,8907,8908,8909,8910,8911,8912,8913,8914,8915,8916,8917, # 8672
8918,8919,8920,8921,8922,8923,8924,4465,8925,8926,8927,8928,8929,8930,8931,8932, # 8688
4883,8933,8934,8935,8936,8937,8938,8939,8940,8941,8942,8943,2214,8944,8945,8946, # 8704
8947,8948,8949,8950,8951,8952,8953,8954,8955,8956,8957,8958,8959,8960,8961,8962, # 8720
8963,8964,8965,4884,8966,8967,8968,8969,8970,8971,8972,8973,8974,8975,8976,8977, # 8736
8978,8979,8980,8981,8982,8983,8984,8985,8986,8987,8988,8989,8990,8991,8992,4885, # 8752
8993,8994,8995,8996,8997,8998,8999,9000,9001,9002,9003,9004,9005,9006,9007,9008, # 8768
9009,9010,9011,9012,9013,9014,9015,9016,9017,9018,9019,9020,9021,4182,9022,9023, # 8784
9024,9025,9026,9027,9028,9029,9030,9031,9032,9033,9034,9035,9036,9037,9038,9039, # 8800
9040,9041,9042,9043,9044,9045,9046,9047,9048,9049,9050,9051,9052,9053,9054,9055, # 8816
9056,9057,9058,9059,9060,9061,9062,9063,4886,9064,9065,9066,9067,9068,9069,4887, # 8832
9070,9071,9072,9073,9074,9075,9076,9077,9078,9079,9080,9081,9082,9083,9084,9085, # 8848
9086,9087,9088,9089,9090,9091,9092,9093,9094,9095,9096,9097,9098,9099,9100,9101, # 8864
9102,9103,9104,9105,9106,9107,9108,9109,9110,9111,9112,9113,9114,9115,9116,9117, # 8880
9118,9119,9120,9121,9122,9123,9124,9125,9126,9127,9128,9129,9130,9131,9132,9133, # 8896
9134,9135,9136,9137,9138,9139,9140,9141,3958,9142,9143,9144,9145,9146,9147,9148, # 8912
9149,9150,9151,4888,9152,9153,9154,9155,9156,9157,9158,9159,9160,9161,9162,9163, # 8928
9164,9165,9166,9167,9168,9169,9170,9171,9172,9173,9174,9175,4889,9176,9177,9178, # 8944
9179,9180,9181,9182,9183,9184,9185,9186,9187,9188,9189,9190,9191,9192,9193,9194, # 8960
9195,9196,9197,9198,9199,9200,9201,9202,9203,4890,9204,9205,9206,9207,9208,9209, # 8976
9210,9211,9212,9213,9214,9215,9216,9217,9218,9219,9220,9221,9222,4466,9223,9224, # 8992
9225,9226,9227,9228,9229,9230,9231,9232,9233,9234,9235,9236,9237,9238,9239,9240, # 9008
9241,9242,9243,9244,9245,4891,9246,9247,9248,9249,9250,9251,9252,9253,9254,9255, # 9024
9256,9257,4892,9258,9259,9260,9261,4893,4894,9262,9263,9264,9265,9266,9267,9268, # 9040
9269,9270,9271,9272,9273,4467,9274,9275,9276,9277,9278,9279,9280,9281,9282,9283, # 9056
9284,9285,3673,9286,9287,9288,9289,9290,9291,9292,9293,9294,9295,9296,9297,9298, # 9072
9299,9300,9301,9302,9303,9304,9305,9306,9307,9308,9309,9310,9311,9312,9313,9314, # 9088
9315,9316,9317,9318,9319,9320,9321,9322,4895,9323,9324,9325,9326,9327,9328,9329, # 9104
9330,9331,9332,9333,9334,9335,9336,9337,9338,9339,9340,9341,9342,9343,9344,9345, # 9120
9346,9347,4468,9348,9349,9350,9351,9352,9353,9354,9355,9356,9357,9358,9359,9360, # 9136
9361,9362,9363,9364,9365,9366,9367,9368,9369,9370,9371,9372,9373,4896,9374,4469, # 9152
9375,9376,9377,9378,9379,4897,9380,9381,9382,9383,9384,9385,9386,9387,9388,9389, # 9168
9390,9391,9392,9393,9394,9395,9396,9397,9398,9399,9400,9401,9402,9403,9404,9405, # 9184
9406,4470,9407,2751,9408,9409,3674,3552,9410,9411,9412,9413,9414,9415,9416,9417, # 9200
9418,9419,9420,9421,4898,9422,9423,9424,9425,9426,9427,9428,9429,3959,9430,9431, # 9216
9432,9433,9434,9435,9436,4471,9437,9438,9439,9440,9441,9442,9443,9444,9445,9446, # 9232
9447,9448,9449,9450,3348,9451,9452,9453,9454,9455,9456,9457,9458,9459,9460,9461, # 9248
9462,9463,9464,9465,9466,9467,9468,9469,9470,9471,9472,4899,9473,9474,9475,9476, # 9264
9477,4900,9478,9479,9480,9481,9482,9483,9484,9485,9486,9487,9488,3349,9489,9490, # 9280
9491,9492,9493,9494,9495,9496,9497,9498,9499,9500,9501,9502,9503,9504,9505,9506, # 9296
9507,9508,9509,9510,9511,9512,9513,9514,9515,9516,9517,9518,9519,9520,4901,9521, # 9312
9522,9523,9524,9525,9526,4902,9527,9528,9529,9530,9531,9532,9533,9534,9535,9536, # 9328
9537,9538,9539,9540,9541,9542,9543,9544,9545,9546,9547,9548,9549,9550,9551,9552, # 9344
9553,9554,9555,9556,9557,9558,9559,9560,9561,9562,9563,9564,9565,9566,9567,9568, # 9360
9569,9570,9571,9572,9573,9574,9575,9576,9577,9578,9579,9580,9581,9582,9583,9584, # 9376
3805,9585,9586,9587,9588,9589,9590,9591,9592,9593,9594,9595,9596,9597,9598,9599, # 9392
9600,9601,9602,4903,9603,9604,9605,9606,9607,4904,9608,9609,9610,9611,9612,9613, # 9408
9614,4905,9615,9616,9617,9618,9619,9620,9621,9622,9623,9624,9625,9626,9627,9628, # 9424
9629,9630,9631,9632,4906,9633,9634,9635,9636,9637,9638,9639,9640,9641,9642,9643, # 9440
4907,9644,9645,9646,9647,9648,9649,9650,9651,9652,9653,9654,9655,9656,9657,9658, # 9456
9659,9660,9661,9662,9663,9664,9665,9666,9667,9668,9669,9670,9671,9672,4183,9673, # 9472
9674,9675,9676,9677,4908,9678,9679,9680,9681,4909,9682,9683,9684,9685,9686,9687, # 9488
9688,9689,9690,4910,9691,9692,9693,3675,9694,9695,9696,2945,9697,9698,9699,9700, # 9504
9701,9702,9703,9704,9705,4911,9706,9707,9708,9709,9710,9711,9712,9713,9714,9715, # 9520
9716,9717,9718,9719,9720,9721,9722,9723,9724,9725,9726,9727,9728,9729,9730,9731, # 9536
9732,9733,9734,9735,4912,9736,9737,9738,9739,9740,4913,9741,9742,9743,9744,9745, # 9552
9746,9747,9748,9749,9750,9751,9752,9753,9754,9755,9756,9757,9758,4914,9759,9760, # 9568
9761,9762,9763,9764,9765,9766,9767,9768,9769,9770,9771,9772,9773,9774,9775,9776, # 9584
9777,9778,9779,9780,9781,9782,4915,9783,9784,9785,9786,9787,9788,9789,9790,9791, # 9600
9792,9793,4916,9794,9795,9796,9797,9798,9799,9800,9801,9802,9803,9804,9805,9806, # 9616
9807,9808,9809,9810,9811,9812,9813,9814,9815,9816,9817,9818,9819,9820,9821,9822, # 9632
9823,9824,9825,9826,9827,9828,9829,9830,9831,9832,9833,9834,9835,9836,9837,9838, # 9648
9839,9840,9841,9842,9843,9844,9845,9846,9847,9848,9849,9850,9851,9852,9853,9854, # 9664
9855,9856,9857,9858,9859,9860,9861,9862,9863,9864,9865,9866,9867,9868,4917,9869, # 9680
9870,9871,9872,9873,9874,9875,9876,9877,9878,9879,9880,9881,9882,9883,9884,9885, # 9696
9886,9887,9888,9889,9890,9891,9892,4472,9893,9894,9895,9896,9897,3806,9898,9899, # 9712
9900,9901,9902,9903,9904,9905,9906,9907,9908,9909,9910,9911,9912,9913,9914,4918, # 9728
9915,9916,9917,4919,9918,9919,9920,9921,4184,9922,9923,9924,9925,9926,9927,9928, # 9744
9929,9930,9931,9932,9933,9934,9935,9936,9937,9938,9939,9940,9941,9942,9943,9944, # 9760
9945,9946,4920,9947,9948,9949,9950,9951,9952,9953,9954,9955,4185,9956,9957,9958, # 9776
9959,9960,9961,9962,9963,9964,9965,4921,9966,9967,9968,4473,9969,9970,9971,9972, # 9792
9973,9974,9975,9976,9977,4474,9978,9979,9980,9981,9982,9983,9984,9985,9986,9987, # 9808
9988,9989,9990,9991,9992,9993,9994,9995,9996,9997,9998,9999,10000,10001,10002,10003, # 9824
10004,10005,10006,10007,10008,10009,10010,10011,10012,10013,10014,10015,10016,10017,10018,10019, # 9840
10020,10021,4922,10022,4923,10023,10024,10025,10026,10027,10028,10029,10030,10031,10032,10033, # 9856
10034,10035,10036,10037,10038,10039,10040,10041,10042,10043,10044,10045,10046,10047,10048,4924, # 9872
10049,10050,10051,10052,10053,10054,10055,10056,10057,10058,10059,10060,10061,10062,10063,10064, # 9888
10065,10066,10067,10068,10069,10070,10071,10072,10073,10074,10075,10076,10077,10078,10079,10080, # 9904
10081,10082,10083,10084,10085,10086,10087,4475,10088,10089,10090,10091,10092,10093,10094,10095, # 9920
10096,10097,4476,10098,10099,10100,10101,10102,10103,10104,10105,10106,10107,10108,10109,10110, # 9936
10111,2174,10112,10113,10114,10115,10116,10117,10118,10119,10120,10121,10122,10123,10124,10125, # 9952
10126,10127,10128,10129,10130,10131,10132,10133,10134,10135,10136,10137,10138,10139,10140,3807, # 9968
4186,4925,10141,10142,10143,10144,10145,10146,10147,4477,4187,10148,10149,10150,10151,10152, # 9984
10153,4188,10154,10155,10156,10157,10158,10159,10160,10161,4926,10162,10163,10164,10165,10166, #10000
10167,10168,10169,10170,10171,10172,10173,10174,10175,10176,10177,10178,10179,10180,10181,10182, #10016
10183,10184,10185,10186,10187,10188,10189,10190,10191,10192,3203,10193,10194,10195,10196,10197, #10032
10198,10199,10200,4478,10201,10202,10203,10204,4479,10205,10206,10207,10208,10209,10210,10211, #10048
10212,10213,10214,10215,10216,10217,10218,10219,10220,10221,10222,10223,10224,10225,10226,10227, #10064
10228,10229,10230,10231,10232,10233,10234,4927,10235,10236,10237,10238,10239,10240,10241,10242, #10080
10243,10244,10245,10246,10247,10248,10249,10250,10251,10252,10253,10254,10255,10256,10257,10258, #10096
10259,10260,10261,10262,10263,10264,10265,10266,10267,10268,10269,10270,10271,10272,10273,4480, #10112
4928,4929,10274,10275,10276,10277,10278,10279,10280,10281,10282,10283,10284,10285,10286,10287, #10128
10288,10289,10290,10291,10292,10293,10294,10295,10296,10297,10298,10299,10300,10301,10302,10303, #10144
10304,10305,10306,10307,10308,10309,10310,10311,10312,10313,10314,10315,10316,10317,10318,10319, #10160
10320,10321,10322,10323,10324,10325,10326,10327,10328,10329,10330,10331,10332,10333,10334,4930, #10176
10335,10336,10337,10338,10339,10340,10341,10342,4931,10343,10344,10345,10346,10347,10348,10349, #10192
10350,10351,10352,10353,10354,10355,3088,10356,2786,10357,10358,10359,10360,4189,10361,10362, #10208
10363,10364,10365,10366,10367,10368,10369,10370,10371,10372,10373,10374,10375,4932,10376,10377, #10224
10378,10379,10380,10381,10382,10383,10384,10385,10386,10387,10388,10389,10390,10391,10392,4933, #10240
10393,10394,10395,4934,10396,10397,10398,10399,10400,10401,10402,10403,10404,10405,10406,10407, #10256
10408,10409,10410,10411,10412,3446,10413,10414,10415,10416,10417,10418,10419,10420,10421,10422, #10272
10423,4935,10424,10425,10426,10427,10428,10429,10430,4936,10431,10432,10433,10434,10435,10436, #10288
10437,10438,10439,10440,10441,10442,10443,4937,10444,10445,10446,10447,4481,10448,10449,10450, #10304
10451,10452,10453,10454,10455,10456,10457,10458,10459,10460,10461,10462,10463,10464,10465,10466, #10320
10467,10468,10469,10470,10471,10472,10473,10474,10475,10476,10477,10478,10479,10480,10481,10482, #10336
10483,10484,10485,10486,10487,10488,10489,10490,10491,10492,10493,10494,10495,10496,10497,10498, #10352
10499,10500,10501,10502,10503,10504,10505,4938,10506,10507,10508,10509,10510,2552,10511,10512, #10368
10513,10514,10515,10516,3447,10517,10518,10519,10520,10521,10522,10523,10524,10525,10526,10527, #10384
10528,10529,10530,10531,10532,10533,10534,10535,10536,10537,10538,10539,10540,10541,10542,10543, #10400
4482,10544,4939,10545,10546,10547,10548,10549,10550,10551,10552,10553,10554,10555,10556,10557, #10416
10558,10559,10560,10561,10562,10563,10564,10565,10566,10567,3676,4483,10568,10569,10570,10571, #10432
10572,3448,10573,10574,10575,10576,10577,10578,10579,10580,10581,10582,10583,10584,10585,10586, #10448
10587,10588,10589,10590,10591,10592,10593,10594,10595,10596,10597,10598,10599,10600,10601,10602, #10464
10603,10604,10605,10606,10607,10608,10609,10610,10611,10612,10613,10614,10615,10616,10617,10618, #10480
10619,10620,10621,10622,10623,10624,10625,10626,10627,4484,10628,10629,10630,10631,10632,4940, #10496
10633,10634,10635,10636,10637,10638,10639,10640,10641,10642,10643,10644,10645,10646,10647,10648, #10512
10649,10650,10651,10652,10653,10654,10655,10656,4941,10657,10658,10659,2599,10660,10661,10662, #10528
10663,10664,10665,10666,3089,10667,10668,10669,10670,10671,10672,10673,10674,10675,10676,10677, #10544
10678,10679,10680,4942,10681,10682,10683,10684,10685,10686,10687,10688,10689,10690,10691,10692, #10560
10693,10694,10695,10696,10697,4485,10698,10699,10700,10701,10702,10703,10704,4943,10705,3677, #10576
10706,10707,10708,10709,10710,10711,10712,4944,10713,10714,10715,10716,10717,10718,10719,10720, #10592
10721,10722,10723,10724,10725,10726,10727,10728,4945,10729,10730,10731,10732,10733,10734,10735, #10608
10736,10737,10738,10739,10740,10741,10742,10743,10744,10745,10746,10747,10748,10749,10750,10751, #10624
10752,10753,10754,10755,10756,10757,10758,10759,10760,10761,4946,10762,10763,10764,10765,10766, #10640
10767,4947,4948,10768,10769,10770,10771,10772,10773,10774,10775,10776,10777,10778,10779,10780, #10656
10781,10782,10783,10784,10785,10786,10787,10788,10789,10790,10791,10792,10793,10794,10795,10796, #10672
10797,10798,10799,10800,10801,10802,10803,10804,10805,10806,10807,10808,10809,10810,10811,10812, #10688
10813,10814,10815,10816,10817,10818,10819,10820,10821,10822,10823,10824,10825,10826,10827,10828, #10704
10829,10830,10831,10832,10833,10834,10835,10836,10837,10838,10839,10840,10841,10842,10843,10844, #10720
10845,10846,10847,10848,10849,10850,10851,10852,10853,10854,10855,10856,10857,10858,10859,10860, #10736
10861,10862,10863,10864,10865,10866,10867,10868,10869,10870,10871,10872,10873,10874,10875,10876, #10752
10877,10878,4486,10879,10880,10881,10882,10883,10884,10885,4949,10886,10887,10888,10889,10890, #10768
10891,10892,10893,10894,10895,10896,10897,10898,10899,10900,10901,10902,10903,10904,10905,10906, #10784
10907,10908,10909,10910,10911,10912,10913,10914,10915,10916,10917,10918,10919,4487,10920,10921, #10800
10922,10923,10924,10925,10926,10927,10928,10929,10930,10931,10932,4950,10933,10934,10935,10936, #10816
10937,10938,10939,10940,10941,10942,10943,10944,10945,10946,10947,10948,10949,4488,10950,10951, #10832
10952,10953,10954,10955,10956,10957,10958,10959,4190,10960,10961,10962,10963,10964,10965,10966, #10848
10967,10968,10969,10970,10971,10972,10973,10974,10975,10976,10977,10978,10979,10980,10981,10982, #10864
10983,10984,10985,10986,10987,10988,10989,10990,10991,10992,10993,10994,10995,10996,10997,10998, #10880
10999,11000,11001,11002,11003,11004,11005,11006,3960,11007,11008,11009,11010,11011,11012,11013, #10896
11014,11015,11016,11017,11018,11019,11020,11021,11022,11023,11024,11025,11026,11027,11028,11029, #10912
11030,11031,11032,4951,11033,11034,11035,11036,11037,11038,11039,11040,11041,11042,11043,11044, #10928
11045,11046,11047,4489,11048,11049,11050,11051,4952,11052,11053,11054,11055,11056,11057,11058, #10944
4953,11059,11060,11061,11062,11063,11064,11065,11066,11067,11068,11069,11070,11071,4954,11072, #10960
11073,11074,11075,11076,11077,11078,11079,11080,11081,11082,11083,11084,11085,11086,11087,11088, #10976
11089,11090,11091,11092,11093,11094,11095,11096,11097,11098,11099,11100,11101,11102,11103,11104, #10992
11105,11106,11107,11108,11109,11110,11111,11112,11113,11114,11115,3808,11116,11117,11118,11119, #11008
11120,11121,11122,11123,11124,11125,11126,11127,11128,11129,11130,11131,11132,11133,11134,4955, #11024
11135,11136,11137,11138,11139,11140,11141,11142,11143,11144,11145,11146,11147,11148,11149,11150, #11040
11151,11152,11153,11154,11155,11156,11157,11158,11159,11160,11161,4956,11162,11163,11164,11165, #11056
11166,11167,11168,11169,11170,11171,11172,11173,11174,11175,11176,11177,11178,11179,11180,4957, #11072
11181,11182,11183,11184,11185,11186,4958,11187,11188,11189,11190,11191,11192,11193,11194,11195, #11088
11196,11197,11198,11199,11200,3678,11201,11202,11203,11204,11205,11206,4191,11207,11208,11209, #11104
11210,11211,11212,11213,11214,11215,11216,11217,11218,11219,11220,11221,11222,11223,11224,11225, #11120
11226,11227,11228,11229,11230,11231,11232,11233,11234,11235,11236,11237,11238,11239,11240,11241, #11136
11242,11243,11244,11245,11246,11247,11248,11249,11250,11251,4959,11252,11253,11254,11255,11256, #11152
11257,11258,11259,11260,11261,11262,11263,11264,11265,11266,11267,11268,11269,11270,11271,11272, #11168
11273,11274,11275,11276,11277,11278,11279,11280,11281,11282,11283,11284,11285,11286,11287,11288, #11184
11289,11290,11291,11292,11293,11294,11295,11296,11297,11298,11299,11300,11301,11302,11303,11304, #11200
11305,11306,11307,11308,11309,11310,11311,11312,11313,11314,3679,11315,11316,11317,11318,4490, #11216
11319,11320,11321,11322,11323,11324,11325,11326,11327,11328,11329,11330,11331,11332,11333,11334, #11232
11335,11336,11337,11338,11339,11340,11341,11342,11343,11344,11345,11346,11347,4960,11348,11349, #11248
11350,11351,11352,11353,11354,11355,11356,11357,11358,11359,11360,11361,11362,11363,11364,11365, #11264
11366,11367,11368,11369,11370,11371,11372,11373,11374,11375,11376,11377,3961,4961,11378,11379, #11280
11380,11381,11382,11383,11384,11385,11386,11387,11388,11389,11390,11391,11392,11393,11394,11395, #11296
11396,11397,4192,11398,11399,11400,11401,11402,11403,11404,11405,11406,11407,11408,11409,11410, #11312
11411,4962,11412,11413,11414,11415,11416,11417,11418,11419,11420,11421,11422,11423,11424,11425, #11328
11426,11427,11428,11429,11430,11431,11432,11433,11434,11435,11436,11437,11438,11439,11440,11441, #11344
11442,11443,11444,11445,11446,11447,11448,11449,11450,11451,11452,11453,11454,11455,11456,11457, #11360
11458,11459,11460,11461,11462,11463,11464,11465,11466,11467,11468,11469,4963,11470,11471,4491, #11376
11472,11473,11474,11475,4964,11476,11477,11478,11479,11480,11481,11482,11483,11484,11485,11486, #11392
11487,11488,11489,11490,11491,11492,4965,11493,11494,11495,11496,11497,11498,11499,11500,11501, #11408
11502,11503,11504,11505,11506,11507,11508,11509,11510,11511,11512,11513,11514,11515,11516,11517, #11424
11518,11519,11520,11521,11522,11523,11524,11525,11526,11527,11528,11529,3962,11530,11531,11532, #11440
11533,11534,11535,11536,11537,11538,11539,11540,11541,11542,11543,11544,11545,11546,11547,11548, #11456
11549,11550,11551,11552,11553,11554,11555,11556,11557,11558,11559,11560,11561,11562,11563,11564, #11472
4193,4194,11565,11566,11567,11568,11569,11570,11571,11572,11573,11574,11575,11576,11577,11578, #11488
11579,11580,11581,11582,11583,11584,11585,11586,11587,11588,11589,11590,11591,4966,4195,11592, #11504
11593,11594,11595,11596,11597,11598,11599,11600,11601,11602,11603,11604,3090,11605,11606,11607, #11520
11608,11609,11610,4967,11611,11612,11613,11614,11615,11616,11617,11618,11619,11620,11621,11622, #11536
11623,11624,11625,11626,11627,11628,11629,11630,11631,11632,11633,11634,11635,11636,11637,11638, #11552
11639,11640,11641,11642,11643,11644,11645,11646,11647,11648,11649,11650,11651,11652,11653,11654, #11568
11655,11656,11657,11658,11659,11660,11661,11662,11663,11664,11665,11666,11667,11668,11669,11670, #11584
11671,11672,11673,11674,4968,11675,11676,11677,11678,11679,11680,11681,11682,11683,11684,11685, #11600
11686,11687,11688,11689,11690,11691,11692,11693,3809,11694,11695,11696,11697,11698,11699,11700, #11616
11701,11702,11703,11704,11705,11706,11707,11708,11709,11710,11711,11712,11713,11714,11715,11716, #11632
11717,11718,3553,11719,11720,11721,11722,11723,11724,11725,11726,11727,11728,11729,11730,4969, #11648
11731,11732,11733,11734,11735,11736,11737,11738,11739,11740,4492,11741,11742,11743,11744,11745, #11664
11746,11747,11748,11749,11750,11751,11752,4970,11753,11754,11755,11756,11757,11758,11759,11760, #11680
11761,11762,11763,11764,11765,11766,11767,11768,11769,11770,11771,11772,11773,11774,11775,11776, #11696
11777,11778,11779,11780,11781,11782,11783,11784,11785,11786,11787,11788,11789,11790,4971,11791, #11712
11792,11793,11794,11795,11796,11797,4972,11798,11799,11800,11801,11802,11803,11804,11805,11806, #11728
11807,11808,11809,11810,4973,11811,11812,11813,11814,11815,11816,11817,11818,11819,11820,11821, #11744
11822,11823,11824,11825,11826,11827,11828,11829,11830,11831,11832,11833,11834,3680,3810,11835, #11760
11836,4974,11837,11838,11839,11840,11841,11842,11843,11844,11845,11846,11847,11848,11849,11850, #11776
11851,11852,11853,11854,11855,11856,11857,11858,11859,11860,11861,11862,11863,11864,11865,11866, #11792
11867,11868,11869,11870,11871,11872,11873,11874,11875,11876,11877,11878,11879,11880,11881,11882, #11808
11883,11884,4493,11885,11886,11887,11888,11889,11890,11891,11892,11893,11894,11895,11896,11897, #11824
11898,11899,11900,11901,11902,11903,11904,11905,11906,11907,11908,11909,11910,11911,11912,11913, #11840
11914,11915,4975,11916,11917,11918,11919,11920,11921,11922,11923,11924,11925,11926,11927,11928, #11856
11929,11930,11931,11932,11933,11934,11935,11936,11937,11938,11939,11940,11941,11942,11943,11944, #11872
11945,11946,11947,11948,11949,4976,11950,11951,11952,11953,11954,11955,11956,11957,11958,11959, #11888
11960,11961,11962,11963,11964,11965,11966,11967,11968,11969,11970,11971,11972,11973,11974,11975, #11904
11976,11977,11978,11979,11980,11981,11982,11983,11984,11985,11986,11987,4196,11988,11989,11990, #11920
11991,11992,4977,11993,11994,11995,11996,11997,11998,11999,12000,12001,12002,12003,12004,12005, #11936
12006,12007,12008,12009,12010,12011,12012,12013,12014,12015,12016,12017,12018,12019,12020,12021, #11952
12022,12023,12024,12025,12026,12027,12028,12029,12030,12031,12032,12033,12034,12035,12036,12037, #11968
12038,12039,12040,12041,12042,12043,12044,12045,12046,12047,12048,12049,12050,12051,12052,12053, #11984
12054,12055,12056,12057,12058,12059,12060,12061,4978,12062,12063,12064,12065,12066,12067,12068, #12000
12069,12070,12071,12072,12073,12074,12075,12076,12077,12078,12079,12080,12081,12082,12083,12084, #12016
12085,12086,12087,12088,12089,12090,12091,12092,12093,12094,12095,12096,12097,12098,12099,12100, #12032
12101,12102,12103,12104,12105,12106,12107,12108,12109,12110,12111,12112,12113,12114,12115,12116, #12048
12117,12118,12119,12120,12121,12122,12123,4979,12124,12125,12126,12127,12128,4197,12129,12130, #12064
12131,12132,12133,12134,12135,12136,12137,12138,12139,12140,12141,12142,12143,12144,12145,12146, #12080
12147,12148,12149,12150,12151,12152,12153,12154,4980,12155,12156,12157,12158,12159,12160,4494, #12096
12161,12162,12163,12164,3811,12165,12166,12167,12168,12169,4495,12170,12171,4496,12172,12173, #12112
12174,12175,12176,3812,12177,12178,12179,12180,12181,12182,12183,12184,12185,12186,12187,12188, #12128
12189,12190,12191,12192,12193,12194,12195,12196,12197,12198,12199,12200,12201,12202,12203,12204, #12144
12205,12206,12207,12208,12209,12210,12211,12212,12213,12214,12215,12216,12217,12218,12219,12220, #12160
12221,4981,12222,12223,12224,12225,12226,12227,12228,12229,12230,12231,12232,12233,12234,12235, #12176
4982,12236,12237,12238,12239,12240,12241,12242,12243,12244,12245,4983,12246,12247,12248,12249, #12192
4984,12250,12251,12252,12253,12254,12255,12256,12257,12258,12259,12260,12261,12262,12263,12264, #12208
4985,12265,4497,12266,12267,12268,12269,12270,12271,12272,12273,12274,12275,12276,12277,12278, #12224
12279,12280,12281,12282,12283,12284,12285,12286,12287,4986,12288,12289,12290,12291,12292,12293, #12240
12294,12295,12296,2473,12297,12298,12299,12300,12301,12302,12303,12304,12305,12306,12307,12308, #12256
12309,12310,12311,12312,12313,12314,12315,12316,12317,12318,12319,3963,12320,12321,12322,12323, #12272
12324,12325,12326,12327,12328,12329,12330,12331,12332,4987,12333,12334,12335,12336,12337,12338, #12288
12339,12340,12341,12342,12343,12344,12345,12346,12347,12348,12349,12350,12351,12352,12353,12354, #12304
12355,12356,12357,12358,12359,3964,12360,12361,12362,12363,12364,12365,12366,12367,12368,12369, #12320
12370,3965,12371,12372,12373,12374,12375,12376,12377,12378,12379,12380,12381,12382,12383,12384, #12336
12385,12386,12387,12388,12389,12390,12391,12392,12393,12394,12395,12396,12397,12398,12399,12400, #12352
12401,12402,12403,12404,12405,12406,12407,12408,4988,12409,12410,12411,12412,12413,12414,12415, #12368
12416,12417,12418,12419,12420,12421,12422,12423,12424,12425,12426,12427,12428,12429,12430,12431, #12384
12432,12433,12434,12435,12436,12437,12438,3554,12439,12440,12441,12442,12443,12444,12445,12446, #12400
12447,12448,12449,12450,12451,12452,12453,12454,12455,12456,12457,12458,12459,12460,12461,12462, #12416
12463,12464,4989,12465,12466,12467,12468,12469,12470,12471,12472,12473,12474,12475,12476,12477, #12432
12478,12479,12480,4990,12481,12482,12483,12484,12485,12486,12487,12488,12489,4498,12490,12491, #12448
12492,12493,12494,12495,12496,12497,12498,12499,12500,12501,12502,12503,12504,12505,12506,12507, #12464
12508,12509,12510,12511,12512,12513,12514,12515,12516,12517,12518,12519,12520,12521,12522,12523, #12480
12524,12525,12526,12527,12528,12529,12530,12531,12532,12533,12534,12535,12536,12537,12538,12539, #12496
12540,12541,12542,12543,12544,12545,12546,12547,12548,12549,12550,12551,4991,12552,12553,12554, #12512
12555,12556,12557,12558,12559,12560,12561,12562,12563,12564,12565,12566,12567,12568,12569,12570, #12528
12571,12572,12573,12574,12575,12576,12577,12578,3036,12579,12580,12581,12582,12583,3966,12584, #12544
12585,12586,12587,12588,12589,12590,12591,12592,12593,12594,12595,12596,12597,12598,12599,12600, #12560
12601,12602,12603,12604,12605,12606,12607,12608,12609,12610,12611,12612,12613,12614,12615,12616, #12576
12617,12618,12619,12620,12621,12622,12623,12624,12625,12626,12627,12628,12629,12630,12631,12632, #12592
12633,12634,12635,12636,12637,12638,12639,12640,12641,12642,12643,12644,12645,12646,4499,12647, #12608
12648,12649,12650,12651,12652,12653,12654,12655,12656,12657,12658,12659,12660,12661,12662,12663, #12624
12664,12665,12666,12667,12668,12669,12670,12671,12672,12673,12674,12675,12676,12677,12678,12679, #12640
12680,12681,12682,12683,12684,12685,12686,12687,12688,12689,12690,12691,12692,12693,12694,12695, #12656
12696,12697,12698,4992,12699,12700,12701,12702,12703,12704,12705,12706,12707,12708,12709,12710, #12672
12711,12712,12713,12714,12715,12716,12717,12718,12719,12720,12721,12722,12723,12724,12725,12726, #12688
12727,12728,12729,12730,12731,12732,12733,12734,12735,12736,12737,12738,12739,12740,12741,12742, #12704
12743,12744,12745,12746,12747,12748,12749,12750,12751,12752,12753,12754,12755,12756,12757,12758, #12720
12759,12760,12761,12762,12763,12764,12765,12766,12767,12768,12769,12770,12771,12772,12773,12774, #12736
12775,12776,12777,12778,4993,2175,12779,12780,12781,12782,12783,12784,12785,12786,4500,12787, #12752
12788,12789,12790,12791,12792,12793,12794,12795,12796,12797,12798,12799,12800,12801,12802,12803, #12768
12804,12805,12806,12807,12808,12809,12810,12811,12812,12813,12814,12815,12816,12817,12818,12819, #12784
12820,12821,12822,12823,12824,12825,12826,4198,3967,12827,12828,12829,12830,12831,12832,12833, #12800
12834,12835,12836,12837,12838,12839,12840,12841,12842,12843,12844,12845,12846,12847,12848,12849, #12816
12850,12851,12852,12853,12854,12855,12856,12857,12858,12859,12860,12861,4199,12862,12863,12864, #12832
12865,12866,12867,12868,12869,12870,12871,12872,12873,12874,12875,12876,12877,12878,12879,12880, #12848
12881,12882,12883,12884,12885,12886,12887,4501,12888,12889,12890,12891,12892,12893,12894,12895, #12864
12896,12897,12898,12899,12900,12901,12902,12903,12904,12905,12906,12907,12908,12909,12910,12911, #12880
12912,4994,12913,12914,12915,12916,12917,12918,12919,12920,12921,12922,12923,12924,12925,12926, #12896
12927,12928,12929,12930,12931,12932,12933,12934,12935,12936,12937,12938,12939,12940,12941,12942, #12912
12943,12944,12945,12946,12947,12948,12949,12950,12951,12952,12953,12954,12955,12956,1772,12957, #12928
12958,12959,12960,12961,12962,12963,12964,12965,12966,12967,12968,12969,12970,12971,12972,12973, #12944
12974,12975,12976,12977,12978,12979,12980,12981,12982,12983,12984,12985,12986,12987,12988,12989, #12960
12990,12991,12992,12993,12994,12995,12996,12997,4502,12998,4503,12999,13000,13001,13002,13003, #12976
4504,13004,13005,13006,13007,13008,13009,13010,13011,13012,13013,13014,13015,13016,13017,13018, #12992
13019,13020,13021,13022,13023,13024,13025,13026,13027,13028,13029,3449,13030,13031,13032,13033, #13008
13034,13035,13036,13037,13038,13039,13040,13041,13042,13043,13044,13045,13046,13047,13048,13049, #13024
13050,13051,13052,13053,13054,13055,13056,13057,13058,13059,13060,13061,13062,13063,13064,13065, #13040
13066,13067,13068,13069,13070,13071,13072,13073,13074,13075,13076,13077,13078,13079,13080,13081, #13056
13082,13083,13084,13085,13086,13087,13088,13089,13090,13091,13092,13093,13094,13095,13096,13097, #13072
13098,13099,13100,13101,13102,13103,13104,13105,13106,13107,13108,13109,13110,13111,13112,13113, #13088
13114,13115,13116,13117,13118,3968,13119,4995,13120,13121,13122,13123,13124,13125,13126,13127, #13104
4505,13128,13129,13130,13131,13132,13133,13134,4996,4506,13135,13136,13137,13138,13139,4997, #13120
13140,13141,13142,13143,13144,13145,13146,13147,13148,13149,13150,13151,13152,13153,13154,13155, #13136
13156,13157,13158,13159,4998,13160,13161,13162,13163,13164,13165,13166,13167,13168,13169,13170, #13152
13171,13172,13173,13174,13175,13176,4999,13177,13178,13179,13180,13181,13182,13183,13184,13185, #13168
13186,13187,13188,13189,13190,13191,13192,13193,13194,13195,13196,13197,13198,13199,13200,13201, #13184
13202,13203,13204,13205,13206,5000,13207,13208,13209,13210,13211,13212,13213,13214,13215,13216, #13200
13217,13218,13219,13220,13221,13222,13223,13224,13225,13226,13227,4200,5001,13228,13229,13230, #13216
13231,13232,13233,13234,13235,13236,13237,13238,13239,13240,3969,13241,13242,13243,13244,3970, #13232
13245,13246,13247,13248,13249,13250,13251,13252,13253,13254,13255,13256,13257,13258,13259,13260, #13248
13261,13262,13263,13264,13265,13266,13267,13268,3450,13269,13270,13271,13272,13273,13274,13275, #13264
13276,5002,13277,13278,13279,13280,13281,13282,13283,13284,13285,13286,13287,13288,13289,13290, #13280
13291,13292,13293,13294,13295,13296,13297,13298,13299,13300,13301,13302,3813,13303,13304,13305, #13296
13306,13307,13308,13309,13310,13311,13312,13313,13314,13315,13316,13317,13318,13319,13320,13321, #13312
13322,13323,13324,13325,13326,13327,13328,4507,13329,13330,13331,13332,13333,13334,13335,13336, #13328
13337,13338,13339,13340,13341,5003,13342,13343,13344,13345,13346,13347,13348,13349,13350,13351, #13344
13352,13353,13354,13355,13356,13357,13358,13359,13360,13361,13362,13363,13364,13365,13366,13367, #13360
5004,13368,13369,13370,13371,13372,13373,13374,13375,13376,13377,13378,13379,13380,13381,13382, #13376
13383,13384,13385,13386,13387,13388,13389,13390,13391,13392,13393,13394,13395,13396,13397,13398, #13392
13399,13400,13401,13402,13403,13404,13405,13406,13407,13408,13409,13410,13411,13412,13413,13414, #13408
13415,13416,13417,13418,13419,13420,13421,13422,13423,13424,13425,13426,13427,13428,13429,13430, #13424
13431,13432,4508,13433,13434,13435,4201,13436,13437,13438,13439,13440,13441,13442,13443,13444, #13440
13445,13446,13447,13448,13449,13450,13451,13452,13453,13454,13455,13456,13457,5005,13458,13459, #13456
13460,13461,13462,13463,13464,13465,13466,13467,13468,13469,13470,4509,13471,13472,13473,13474, #13472
13475,13476,13477,13478,13479,13480,13481,13482,13483,13484,13485,13486,13487,13488,13489,13490, #13488
13491,13492,13493,13494,13495,13496,13497,13498,13499,13500,13501,13502,13503,13504,13505,13506, #13504
13507,13508,13509,13510,13511,13512,13513,13514,13515,13516,13517,13518,13519,13520,13521,13522, #13520
13523,13524,13525,13526,13527,13528,13529,13530,13531,13532,13533,13534,13535,13536,13537,13538, #13536
13539,13540,13541,13542,13543,13544,13545,13546,13547,13548,13549,13550,13551,13552,13553,13554, #13552
13555,13556,13557,13558,13559,13560,13561,13562,13563,13564,13565,13566,13567,13568,13569,13570, #13568
13571,13572,13573,13574,13575,13576,13577,13578,13579,13580,13581,13582,13583,13584,13585,13586, #13584
13587,13588,13589,13590,13591,13592,13593,13594,13595,13596,13597,13598,13599,13600,13601,13602, #13600
13603,13604,13605,13606,13607,13608,13609,13610,13611,13612,13613,13614,13615,13616,13617,13618, #13616
13619,13620,13621,13622,13623,13624,13625,13626,13627,13628,13629,13630,13631,13632,13633,13634, #13632
13635,13636,13637,13638,13639,13640,13641,13642,5006,13643,13644,13645,13646,13647,13648,13649, #13648
13650,13651,5007,13652,13653,13654,13655,13656,13657,13658,13659,13660,13661,13662,13663,13664, #13664
13665,13666,13667,13668,13669,13670,13671,13672,13673,13674,13675,13676,13677,13678,13679,13680, #13680
13681,13682,13683,13684,13685,13686,13687,13688,13689,13690,13691,13692,13693,13694,13695,13696, #13696
13697,13698,13699,13700,13701,13702,13703,13704,13705,13706,13707,13708,13709,13710,13711,13712, #13712
13713,13714,13715,13716,13717,13718,13719,13720,13721,13722,13723,13724,13725,13726,13727,13728, #13728
13729,13730,13731,13732,13733,13734,13735,13736,13737,13738,13739,13740,13741,13742,13743,13744, #13744
13745,13746,13747,13748,13749,13750,13751,13752,13753,13754,13755,13756,13757,13758,13759,13760, #13760
13761,13762,13763,13764,13765,13766,13767,13768,13769,13770,13771,13772,13773,13774,3273,13775, #13776
13776,13777,13778,13779,13780,13781,13782,13783,13784,13785,13786,13787,13788,13789,13790,13791, #13792
13792,13793,13794,13795,13796,13797,13798,13799,13800,13801,13802,13803,13804,13805,13806,13807, #13808
13808,13809,13810,13811,13812,13813,13814,13815,13816,13817,13818,13819,13820,13821,13822,13823, #13824
13824,13825,13826,13827,13828,13829,13830,13831,13832,13833,13834,13835,13836,13837,13838,13839, #13840
13840,13841,13842,13843,13844,13845,13846,13847,13848,13849,13850,13851,13852,13853,13854,13855, #13856
13856,13857,13858,13859,13860,13861,13862,13863,13864,13865,13866,13867,13868,13869,13870,13871, #13872
13872,13873,13874,13875,13876,13877,13878,13879,13880,13881,13882,13883,13884,13885,13886,13887, #13888
13888,13889,13890,13891,13892,13893,13894,13895,13896,13897,13898,13899,13900,13901,13902,13903, #13904
13904,13905,13906,13907,13908,13909,13910,13911,13912,13913,13914,13915,13916,13917,13918,13919, #13920
13920,13921,13922,13923,13924,13925,13926,13927,13928,13929,13930,13931,13932,13933,13934,13935, #13936
13936,13937,13938,13939,13940,13941,13942,13943,13944,13945,13946,13947,13948,13949,13950,13951, #13952
13952,13953,13954,13955,13956,13957,13958,13959,13960,13961,13962,13963,13964,13965,13966,13967, #13968
13968,13969,13970,13971,13972) #13973
2299, 208,3546,4161,2020, 330,4438,3944,2906,2499,3799,4439,4811,5796,5797,5798, # 5376
)
# flake8: noqa
+10 -5
View File
@@ -28,15 +28,20 @@
from .mbcharsetprober import MultiByteCharSetProber
from .codingstatemachine import CodingStateMachine
from .chardistribution import Big5DistributionAnalysis
from .mbcssm import Big5SMModel
from .mbcssm import BIG5_SM_MODEL
class Big5Prober(MultiByteCharSetProber):
def __init__(self):
MultiByteCharSetProber.__init__(self)
self._mCodingSM = CodingStateMachine(Big5SMModel)
self._mDistributionAnalyzer = Big5DistributionAnalysis()
super(Big5Prober, self).__init__()
self.coding_sm = CodingStateMachine(BIG5_SM_MODEL)
self.distribution_analyzer = Big5DistributionAnalysis()
self.reset()
def get_charset_name(self):
@property
def charset_name(self):
return "Big5"
@property
def language(self):
return "Chinese"
-80
View File
@@ -1,80 +0,0 @@
#!/usr/bin/env python
"""
Script which takes one or more file paths and reports on their detected
encodings
Example::
% chardetect somefile someotherfile
somefile: windows-1252 with confidence 0.5
someotherfile: ascii with confidence 1.0
If no paths are provided, it takes its input from stdin.
"""
from __future__ import absolute_import, print_function, unicode_literals
import argparse
import sys
from io import open
from chardet import __version__
from chardet.universaldetector import UniversalDetector
def description_of(lines, name='stdin'):
"""
Return a string describing the probable encoding of a file or
list of strings.
:param lines: The lines to get the encoding of.
:type lines: Iterable of bytes
:param name: Name of file or collection of lines
:type name: str
"""
u = UniversalDetector()
for line in lines:
u.feed(line)
u.close()
result = u.result
if result['encoding']:
return '{0}: {1} with confidence {2}'.format(name, result['encoding'],
result['confidence'])
else:
return '{0}: no result'.format(name)
def main(argv=None):
'''
Handles command line arguments and gets things started.
:param argv: List of arguments, as if specified on the command-line.
If None, ``sys.argv[1:]`` is used instead.
:type argv: list of str
'''
# Get command line arguments
parser = argparse.ArgumentParser(
description="Takes one or more file paths and reports their detected \
encodings",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
conflict_handler='resolve')
parser.add_argument('input',
help='File whose encoding we would like to determine.',
type=argparse.FileType('rb'), nargs='*',
default=[sys.stdin])
parser.add_argument('--version', action='version',
version='%(prog)s {0}'.format(__version__))
args = parser.parse_args(argv)
for f in args.input:
if f.isatty():
print("You are running chardetect interactively. Press " +
"CTRL-D twice at the start of a blank line to signal the " +
"end of your input. If you want help, run chardetect " +
"--help\n", file=sys.stderr)
print(description_of(f, f.name))
if __name__ == '__main__':
main()
+75 -73
View File
@@ -25,82 +25,84 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from .euctwfreq import (EUCTWCharToFreqOrder, EUCTW_TABLE_SIZE,
from .euctwfreq import (EUCTW_CHAR_TO_FREQ_ORDER, EUCTW_TABLE_SIZE,
EUCTW_TYPICAL_DISTRIBUTION_RATIO)
from .euckrfreq import (EUCKRCharToFreqOrder, EUCKR_TABLE_SIZE,
from .euckrfreq import (EUCKR_CHAR_TO_FREQ_ORDER, EUCKR_TABLE_SIZE,
EUCKR_TYPICAL_DISTRIBUTION_RATIO)
from .gb2312freq import (GB2312CharToFreqOrder, GB2312_TABLE_SIZE,
from .gb2312freq import (GB2312_CHAR_TO_FREQ_ORDER, GB2312_TABLE_SIZE,
GB2312_TYPICAL_DISTRIBUTION_RATIO)
from .big5freq import (Big5CharToFreqOrder, BIG5_TABLE_SIZE,
from .big5freq import (BIG5_CHAR_TO_FREQ_ORDER, BIG5_TABLE_SIZE,
BIG5_TYPICAL_DISTRIBUTION_RATIO)
from .jisfreq import (JISCharToFreqOrder, JIS_TABLE_SIZE,
from .jisfreq import (JIS_CHAR_TO_FREQ_ORDER, JIS_TABLE_SIZE,
JIS_TYPICAL_DISTRIBUTION_RATIO)
from .compat import wrap_ord
ENOUGH_DATA_THRESHOLD = 1024
SURE_YES = 0.99
SURE_NO = 0.01
MINIMUM_DATA_THRESHOLD = 3
class CharDistributionAnalysis:
class CharDistributionAnalysis(object):
ENOUGH_DATA_THRESHOLD = 1024
SURE_YES = 0.99
SURE_NO = 0.01
MINIMUM_DATA_THRESHOLD = 3
def __init__(self):
# Mapping table to get frequency order from char order (get from
# GetOrder())
self._mCharToFreqOrder = None
self._mTableSize = None # Size of above table
self._char_to_freq_order = None
self._table_size = None # Size of above table
# This is a constant value which varies from language to language,
# used in calculating confidence. See
# http://www.mozilla.org/projects/intl/UniversalCharsetDetection.html
# for further detail.
self._mTypicalDistributionRatio = None
self.typical_distribution_ratio = None
self._done = None
self._total_chars = None
self._freq_chars = None
self.reset()
def reset(self):
"""reset analyser, clear any state"""
# If this flag is set to True, detection is done and conclusion has
# been made
self._mDone = False
self._mTotalChars = 0 # Total characters encountered
self._done = False
self._total_chars = 0 # Total characters encountered
# The number of characters whose frequency order is less than 512
self._mFreqChars = 0
self._freq_chars = 0
def feed(self, aBuf, aCharLen):
def feed(self, char, char_len):
"""feed a character with known length"""
if aCharLen == 2:
if char_len == 2:
# we only care about 2-bytes character in our distribution analysis
order = self.get_order(aBuf)
order = self.get_order(char)
else:
order = -1
if order >= 0:
self._mTotalChars += 1
self._total_chars += 1
# order is valid
if order < self._mTableSize:
if 512 > self._mCharToFreqOrder[order]:
self._mFreqChars += 1
if order < self._table_size:
if 512 > self._char_to_freq_order[order]:
self._freq_chars += 1
def get_confidence(self):
"""return confidence based on existing data"""
# if we didn't receive any character in our consideration range,
# return negative answer
if self._mTotalChars <= 0 or self._mFreqChars <= MINIMUM_DATA_THRESHOLD:
return SURE_NO
if self._total_chars <= 0 or self._freq_chars <= self.MINIMUM_DATA_THRESHOLD:
return self.SURE_NO
if self._mTotalChars != self._mFreqChars:
r = (self._mFreqChars / ((self._mTotalChars - self._mFreqChars)
* self._mTypicalDistributionRatio))
if r < SURE_YES:
if self._total_chars != self._freq_chars:
r = (self._freq_chars / ((self._total_chars - self._freq_chars)
* self.typical_distribution_ratio))
if r < self.SURE_YES:
return r
# normalize confidence (we don't want to be 100% sure)
return SURE_YES
return self.SURE_YES
def got_enough_data(self):
# It is not necessary to receive all data to draw conclusion.
# For charset detection, certain amount of data is enough
return self._mTotalChars > ENOUGH_DATA_THRESHOLD
return self._total_chars > self.ENOUGH_DATA_THRESHOLD
def get_order(self, aBuf):
def get_order(self, byte_str):
# We do not handle characters based on the original encoding string,
# but convert this encoding string to a number, here called order.
# This allows multiple encodings of a language to share one frequency
@@ -110,55 +112,55 @@ class CharDistributionAnalysis:
class EUCTWDistributionAnalysis(CharDistributionAnalysis):
def __init__(self):
CharDistributionAnalysis.__init__(self)
self._mCharToFreqOrder = EUCTWCharToFreqOrder
self._mTableSize = EUCTW_TABLE_SIZE
self._mTypicalDistributionRatio = EUCTW_TYPICAL_DISTRIBUTION_RATIO
super(EUCTWDistributionAnalysis, self).__init__()
self._char_to_freq_order = EUCTW_CHAR_TO_FREQ_ORDER
self._table_size = EUCTW_TABLE_SIZE
self.typical_distribution_ratio = EUCTW_TYPICAL_DISTRIBUTION_RATIO
def get_order(self, aBuf):
def get_order(self, byte_str):
# for euc-TW encoding, we are interested
# first byte range: 0xc4 -- 0xfe
# second byte range: 0xa1 -- 0xfe
# no validation needed here. State machine has done that
first_char = wrap_ord(aBuf[0])
first_char = byte_str[0]
if first_char >= 0xC4:
return 94 * (first_char - 0xC4) + wrap_ord(aBuf[1]) - 0xA1
return 94 * (first_char - 0xC4) + byte_str[1] - 0xA1
else:
return -1
class EUCKRDistributionAnalysis(CharDistributionAnalysis):
def __init__(self):
CharDistributionAnalysis.__init__(self)
self._mCharToFreqOrder = EUCKRCharToFreqOrder
self._mTableSize = EUCKR_TABLE_SIZE
self._mTypicalDistributionRatio = EUCKR_TYPICAL_DISTRIBUTION_RATIO
super(EUCKRDistributionAnalysis, self).__init__()
self._char_to_freq_order = EUCKR_CHAR_TO_FREQ_ORDER
self._table_size = EUCKR_TABLE_SIZE
self.typical_distribution_ratio = EUCKR_TYPICAL_DISTRIBUTION_RATIO
def get_order(self, aBuf):
def get_order(self, byte_str):
# for euc-KR encoding, we are interested
# first byte range: 0xb0 -- 0xfe
# second byte range: 0xa1 -- 0xfe
# no validation needed here. State machine has done that
first_char = wrap_ord(aBuf[0])
first_char = byte_str[0]
if first_char >= 0xB0:
return 94 * (first_char - 0xB0) + wrap_ord(aBuf[1]) - 0xA1
return 94 * (first_char - 0xB0) + byte_str[1] - 0xA1
else:
return -1
class GB2312DistributionAnalysis(CharDistributionAnalysis):
def __init__(self):
CharDistributionAnalysis.__init__(self)
self._mCharToFreqOrder = GB2312CharToFreqOrder
self._mTableSize = GB2312_TABLE_SIZE
self._mTypicalDistributionRatio = GB2312_TYPICAL_DISTRIBUTION_RATIO
super(GB2312DistributionAnalysis, self).__init__()
self._char_to_freq_order = GB2312_CHAR_TO_FREQ_ORDER
self._table_size = GB2312_TABLE_SIZE
self.typical_distribution_ratio = GB2312_TYPICAL_DISTRIBUTION_RATIO
def get_order(self, aBuf):
def get_order(self, byte_str):
# for GB2312 encoding, we are interested
# first byte range: 0xb0 -- 0xfe
# second byte range: 0xa1 -- 0xfe
# no validation needed here. State machine has done that
first_char, second_char = wrap_ord(aBuf[0]), wrap_ord(aBuf[1])
first_char, second_char = byte_str[0], byte_str[1]
if (first_char >= 0xB0) and (second_char >= 0xA1):
return 94 * (first_char - 0xB0) + second_char - 0xA1
else:
@@ -167,17 +169,17 @@ class GB2312DistributionAnalysis(CharDistributionAnalysis):
class Big5DistributionAnalysis(CharDistributionAnalysis):
def __init__(self):
CharDistributionAnalysis.__init__(self)
self._mCharToFreqOrder = Big5CharToFreqOrder
self._mTableSize = BIG5_TABLE_SIZE
self._mTypicalDistributionRatio = BIG5_TYPICAL_DISTRIBUTION_RATIO
super(Big5DistributionAnalysis, self).__init__()
self._char_to_freq_order = BIG5_CHAR_TO_FREQ_ORDER
self._table_size = BIG5_TABLE_SIZE
self.typical_distribution_ratio = BIG5_TYPICAL_DISTRIBUTION_RATIO
def get_order(self, aBuf):
def get_order(self, byte_str):
# for big5 encoding, we are interested
# first byte range: 0xa4 -- 0xfe
# second byte range: 0x40 -- 0x7e , 0xa1 -- 0xfe
# no validation needed here. State machine has done that
first_char, second_char = wrap_ord(aBuf[0]), wrap_ord(aBuf[1])
first_char, second_char = byte_str[0], byte_str[1]
if first_char >= 0xA4:
if second_char >= 0xA1:
return 157 * (first_char - 0xA4) + second_char - 0xA1 + 63
@@ -189,17 +191,17 @@ class Big5DistributionAnalysis(CharDistributionAnalysis):
class SJISDistributionAnalysis(CharDistributionAnalysis):
def __init__(self):
CharDistributionAnalysis.__init__(self)
self._mCharToFreqOrder = JISCharToFreqOrder
self._mTableSize = JIS_TABLE_SIZE
self._mTypicalDistributionRatio = JIS_TYPICAL_DISTRIBUTION_RATIO
super(SJISDistributionAnalysis, self).__init__()
self._char_to_freq_order = JIS_CHAR_TO_FREQ_ORDER
self._table_size = JIS_TABLE_SIZE
self.typical_distribution_ratio = JIS_TYPICAL_DISTRIBUTION_RATIO
def get_order(self, aBuf):
def get_order(self, byte_str):
# for sjis encoding, we are interested
# first byte range: 0x81 -- 0x9f , 0xe0 -- 0xfe
# second byte range: 0x40 -- 0x7e, 0x81 -- oxfe
# no validation needed here. State machine has done that
first_char, second_char = wrap_ord(aBuf[0]), wrap_ord(aBuf[1])
first_char, second_char = byte_str[0], byte_str[1]
if (first_char >= 0x81) and (first_char <= 0x9F):
order = 188 * (first_char - 0x81)
elif (first_char >= 0xE0) and (first_char <= 0xEF):
@@ -214,18 +216,18 @@ class SJISDistributionAnalysis(CharDistributionAnalysis):
class EUCJPDistributionAnalysis(CharDistributionAnalysis):
def __init__(self):
CharDistributionAnalysis.__init__(self)
self._mCharToFreqOrder = JISCharToFreqOrder
self._mTableSize = JIS_TABLE_SIZE
self._mTypicalDistributionRatio = JIS_TYPICAL_DISTRIBUTION_RATIO
super(EUCJPDistributionAnalysis, self).__init__()
self._char_to_freq_order = JIS_CHAR_TO_FREQ_ORDER
self._table_size = JIS_TABLE_SIZE
self.typical_distribution_ratio = JIS_TYPICAL_DISTRIBUTION_RATIO
def get_order(self, aBuf):
def get_order(self, byte_str):
# for euc-JP encoding, we are interested
# first byte range: 0xa0 -- 0xfe
# second byte range: 0xa1 -- 0xfe
# no validation needed here. State machine has done that
char = wrap_ord(aBuf[0])
char = byte_str[0]
if char >= 0xA0:
return 94 * (char - 0xA1) + wrap_ord(aBuf[1]) - 0xa1
return 94 * (char - 0xA1) + byte_str[1] - 0xa1
else:
return -1
+55 -55
View File
@@ -1,11 +1,11 @@
######################## BEGIN LICENSE BLOCK ########################
# The Original Code is Mozilla Communicator client code.
#
#
# The Initial Developer of the Original Code is
# Netscape Communications Corporation.
# Portions created by the Initial Developer are Copyright (C) 1998
# the Initial Developer. All Rights Reserved.
#
#
# Contributor(s):
# Mark Pilgrim - port to Python
#
@@ -13,94 +13,94 @@
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from . import constants
import sys
from .enums import ProbingState
from .charsetprober import CharSetProber
class CharSetGroupProber(CharSetProber):
def __init__(self):
CharSetProber.__init__(self)
self._mActiveNum = 0
self._mProbers = []
self._mBestGuessProber = None
def __init__(self, lang_filter=None):
super(CharSetGroupProber, self).__init__(lang_filter=lang_filter)
self._active_num = 0
self.probers = []
self._best_guess_prober = None
def reset(self):
CharSetProber.reset(self)
self._mActiveNum = 0
for prober in self._mProbers:
super(CharSetGroupProber, self).reset()
self._active_num = 0
for prober in self.probers:
if prober:
prober.reset()
prober.active = True
self._mActiveNum += 1
self._mBestGuessProber = None
self._active_num += 1
self._best_guess_prober = None
def get_charset_name(self):
if not self._mBestGuessProber:
@property
def charset_name(self):
if not self._best_guess_prober:
self.get_confidence()
if not self._mBestGuessProber:
if not self._best_guess_prober:
return None
# self._mBestGuessProber = self._mProbers[0]
return self._mBestGuessProber.get_charset_name()
return self._best_guess_prober.charset_name
def feed(self, aBuf):
for prober in self._mProbers:
@property
def language(self):
if not self._best_guess_prober:
self.get_confidence()
if not self._best_guess_prober:
return None
return self._best_guess_prober.language
def feed(self, byte_str):
for prober in self.probers:
if not prober:
continue
if not prober.active:
continue
st = prober.feed(aBuf)
if not st:
state = prober.feed(byte_str)
if not state:
continue
if st == constants.eFoundIt:
self._mBestGuessProber = prober
return self.get_state()
elif st == constants.eNotMe:
if state == ProbingState.FOUND_IT:
self._best_guess_prober = prober
return self.state
elif state == ProbingState.NOT_ME:
prober.active = False
self._mActiveNum -= 1
if self._mActiveNum <= 0:
self._mState = constants.eNotMe
return self.get_state()
return self.get_state()
self._active_num -= 1
if self._active_num <= 0:
self._state = ProbingState.NOT_ME
return self.state
return self.state
def get_confidence(self):
st = self.get_state()
if st == constants.eFoundIt:
state = self.state
if state == ProbingState.FOUND_IT:
return 0.99
elif st == constants.eNotMe:
elif state == ProbingState.NOT_ME:
return 0.01
bestConf = 0.0
self._mBestGuessProber = None
for prober in self._mProbers:
best_conf = 0.0
self._best_guess_prober = None
for prober in self.probers:
if not prober:
continue
if not prober.active:
if constants._debug:
sys.stderr.write(prober.get_charset_name()
+ ' not active\n')
self.logger.debug('%s not active', prober.charset_name)
continue
cf = prober.get_confidence()
if constants._debug:
sys.stderr.write('%s confidence = %s\n' %
(prober.get_charset_name(), cf))
if bestConf < cf:
bestConf = cf
self._mBestGuessProber = prober
if not self._mBestGuessProber:
conf = prober.get_confidence()
self.logger.debug('%s %s confidence = %s', prober.charset_name, prober.language, conf)
if best_conf < conf:
best_conf = conf
self._best_guess_prober = prober
if not self._best_guess_prober:
return 0.0
return bestConf
# else:
# self._mBestGuessProber = self._mProbers[0]
# return self._mBestGuessProber.get_confidence()
return best_conf
+101 -18
View File
@@ -26,37 +26,120 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from . import constants
import logging
import re
from .enums import ProbingState
class CharSetProber:
def __init__(self):
pass
class CharSetProber(object):
SHORTCUT_THRESHOLD = 0.95
def __init__(self, lang_filter=None):
self._state = None
self.lang_filter = lang_filter
self.logger = logging.getLogger(__name__)
def reset(self):
self._mState = constants.eDetecting
self._state = ProbingState.DETECTING
def get_charset_name(self):
@property
def charset_name(self):
return None
def feed(self, aBuf):
def feed(self, buf):
pass
def get_state(self):
return self._mState
@property
def state(self):
return self._state
def get_confidence(self):
return 0.0
def filter_high_bit_only(self, aBuf):
aBuf = re.sub(b'([\x00-\x7F])+', b' ', aBuf)
return aBuf
@staticmethod
def filter_high_byte_only(buf):
buf = re.sub(b'([\x00-\x7F])+', b' ', buf)
return buf
def filter_without_english_letters(self, aBuf):
aBuf = re.sub(b'([A-Za-z])+', b' ', aBuf)
return aBuf
@staticmethod
def filter_international_words(buf):
"""
We define three types of bytes:
alphabet: english alphabets [a-zA-Z]
international: international characters [\x80-\xFF]
marker: everything else [^a-zA-Z\x80-\xFF]
def filter_with_english_letters(self, aBuf):
# TODO
return aBuf
The input buffer can be thought to contain a series of words delimited
by markers. This function works to filter all words that contain at
least one international character. All contiguous sequences of markers
are replaced by a single space ascii character.
This filter applies to all scripts which do not use English characters.
"""
filtered = bytearray()
# This regex expression filters out only words that have at-least one
# international character. The word may include one marker character at
# the end.
words = re.findall(b'[a-zA-Z]*[\x80-\xFF]+[a-zA-Z]*[^a-zA-Z\x80-\xFF]?',
buf)
for word in words:
filtered.extend(word[:-1])
# If the last character in the word is a marker, replace it with a
# space as markers shouldn't affect our analysis (they are used
# similarly across all languages and may thus have similar
# frequencies).
last_char = word[-1:]
if not last_char.isalpha() and last_char < b'\x80':
last_char = b' '
filtered.extend(last_char)
return filtered
@staticmethod
def filter_with_english_letters(buf):
"""
Returns a copy of ``buf`` that retains only the sequences of English
alphabet and high byte characters that are not between <> characters.
Also retains English alphabet and high byte characters immediately
before occurrences of >.
This filter can be applied to all scripts which contain both English
characters and extended ASCII characters, but is currently only used by
``Latin1Prober``.
"""
filtered = bytearray()
in_tag = False
prev = 0
for curr in range(len(buf)):
# Slice here to get bytes instead of an int with Python 3
buf_char = buf[curr:curr + 1]
# Check if we're coming out of or entering an HTML tag
if buf_char == b'>':
in_tag = False
elif buf_char == b'<':
in_tag = True
# If current character is not extended-ASCII and not alphabetic...
if buf_char < b'\x80' and not buf_char.isalpha():
# ...and we're not in a tag
if curr > prev and not in_tag:
# Keep everything after last non-extended-ASCII,
# non-alphabetic character
filtered.extend(buf[prev:curr])
# Output a space to delimit stretch we kept
filtered.extend(b' ')
prev = curr + 1
# If we're not in a tag...
if not in_tag:
# Keep everything after last non-extended-ASCII, non-alphabetic
# character
filtered.extend(buf[prev:])
return filtered
+47 -20
View File
@@ -25,37 +25,64 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from .constants import eStart
from .compat import wrap_ord
import logging
from .enums import MachineState
class CodingStateMachine:
class CodingStateMachine(object):
"""
A state machine to verify a byte sequence for a particular encoding. For
each byte the detector receives, it will feed that byte to every active
state machine available, one byte at a time. The state machine changes its
state based on its previous state and the byte it receives. There are 3
states in a state machine that are of interest to an auto-detector:
START state: This is the state to start with, or a legal byte sequence
(i.e. a valid code point) for character has been identified.
ME state: This indicates that the state machine identified a byte sequence
that is specific to the charset it is designed for and that
there is no other possible encoding which can contain this byte
sequence. This will to lead to an immediate positive answer for
the detector.
ERROR state: This indicates the state machine identified an illegal byte
sequence for that encoding. This will lead to an immediate
negative answer for this encoding. Detector will exclude this
encoding from consideration from here on.
"""
def __init__(self, sm):
self._mModel = sm
self._mCurrentBytePos = 0
self._mCurrentCharLen = 0
self._model = sm
self._curr_byte_pos = 0
self._curr_char_len = 0
self._curr_state = None
self.logger = logging.getLogger(__name__)
self.reset()
def reset(self):
self._mCurrentState = eStart
self._curr_state = MachineState.START
def next_state(self, c):
# for each byte we get its class
# if it is first byte, we also get byte length
# PY3K: aBuf is a byte stream, so c is an int, not a byte
byteCls = self._mModel['classTable'][wrap_ord(c)]
if self._mCurrentState == eStart:
self._mCurrentBytePos = 0
self._mCurrentCharLen = self._mModel['charLenTable'][byteCls]
# from byte's class and stateTable, we get its next state
curr_state = (self._mCurrentState * self._mModel['classFactor']
+ byteCls)
self._mCurrentState = self._mModel['stateTable'][curr_state]
self._mCurrentBytePos += 1
return self._mCurrentState
byte_class = self._model['class_table'][c]
if self._curr_state == MachineState.START:
self._curr_byte_pos = 0
self._curr_char_len = self._model['char_len_table'][byte_class]
# from byte's class and state_table, we get its next state
curr_state = (self._curr_state * self._model['class_factor']
+ byte_class)
self._curr_state = self._model['state_table'][curr_state]
self._curr_byte_pos += 1
return self._curr_state
def get_current_charlen(self):
return self._mCurrentCharLen
return self._curr_char_len
def get_coding_state_machine(self):
return self._mModel['name']
return self._model['name']
@property
def language(self):
return self._model['language']
+8 -8
View File
@@ -1,6 +1,7 @@
######################## BEGIN LICENSE BLOCK ########################
# Contributor(s):
# Ian Cordasco - port to Python
# Dan Blanchard
# Ian Cordasco
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
@@ -22,13 +23,12 @@ import sys
if sys.version_info < (3, 0):
PY2 = True
PY3 = False
base_str = (str, unicode)
text_type = unicode
else:
PY2 = False
PY3 = True
base_str = (bytes, str)
def wrap_ord(a):
if sys.version_info < (3, 0) and isinstance(a, base_str):
return ord(a)
else:
return a
text_type = str
-39
View File
@@ -1,39 +0,0 @@
######################## BEGIN LICENSE BLOCK ########################
# The Original Code is Mozilla Universal charset detector code.
#
# The Initial Developer of the Original Code is
# Netscape Communications Corporation.
# Portions created by the Initial Developer are Copyright (C) 2001
# the Initial Developer. All Rights Reserved.
#
# Contributor(s):
# Mark Pilgrim - port to Python
# Shy Shalom - original C code
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
_debug = 0
eDetecting = 0
eFoundIt = 1
eNotMe = 2
eStart = 0
eError = 1
eItsMe = 2
SHORTCUT_THRESHOLD = 0.95
+12 -7
View File
@@ -25,20 +25,25 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from .mbcharsetprober import MultiByteCharSetProber
from .codingstatemachine import CodingStateMachine
from .chardistribution import EUCKRDistributionAnalysis
from .mbcssm import CP949SMModel
from .codingstatemachine import CodingStateMachine
from .mbcharsetprober import MultiByteCharSetProber
from .mbcssm import CP949_SM_MODEL
class CP949Prober(MultiByteCharSetProber):
def __init__(self):
MultiByteCharSetProber.__init__(self)
self._mCodingSM = CodingStateMachine(CP949SMModel)
super(CP949Prober, self).__init__()
self.coding_sm = CodingStateMachine(CP949_SM_MODEL)
# NOTE: CP949 is a superset of EUC-KR, so the distribution should be
# not different.
self._mDistributionAnalyzer = EUCKRDistributionAnalysis()
self.distribution_analyzer = EUCKRDistributionAnalysis()
self.reset()
def get_charset_name(self):
@property
def charset_name(self):
return "CP949"
@property
def language(self):
return "Korean"
+76
View File
@@ -0,0 +1,76 @@
"""
All of the Enums that are used throughout the chardet package.
:author: Dan Blanchard (dan.blanchard@gmail.com)
"""
class InputState(object):
"""
This enum represents the different states a universal detector can be in.
"""
PURE_ASCII = 0
ESC_ASCII = 1
HIGH_BYTE = 2
class LanguageFilter(object):
"""
This enum represents the different language filters we can apply to a
``UniversalDetector``.
"""
CHINESE_SIMPLIFIED = 0x01
CHINESE_TRADITIONAL = 0x02
JAPANESE = 0x04
KOREAN = 0x08
NON_CJK = 0x10
ALL = 0x1F
CHINESE = CHINESE_SIMPLIFIED | CHINESE_TRADITIONAL
CJK = CHINESE | JAPANESE | KOREAN
class ProbingState(object):
"""
This enum represents the different states a prober can be in.
"""
DETECTING = 0
FOUND_IT = 1
NOT_ME = 2
class MachineState(object):
"""
This enum represents the different states a state machine can be in.
"""
START = 0
ERROR = 1
ITS_ME = 2
class SequenceLikelihood(object):
"""
This enum represents the likelihood of a character following the previous one.
"""
NEGATIVE = 0
UNLIKELY = 1
LIKELY = 2
POSITIVE = 3
@classmethod
def get_num_categories(cls):
""":returns: The number of likelihood categories in the enum."""
return 4
class CharacterCategory(object):
"""
This enum represents the different categories language models for
``SingleByteCharsetProber`` put characters into.
Anything less than CONTROL is considered a letter.
"""
UNDEFINED = 255
LINE_BREAK = 254
SYMBOL = 253
DIGIT = 252
CONTROL = 251
+56 -41
View File
@@ -25,62 +25,77 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from . import constants
from .escsm import (HZSMModel, ISO2022CNSMModel, ISO2022JPSMModel,
ISO2022KRSMModel)
from .charsetprober import CharSetProber
from .codingstatemachine import CodingStateMachine
from .compat import wrap_ord
from .enums import LanguageFilter, ProbingState, MachineState
from .escsm import (HZ_SM_MODEL, ISO2022CN_SM_MODEL, ISO2022JP_SM_MODEL,
ISO2022KR_SM_MODEL)
class EscCharSetProber(CharSetProber):
def __init__(self):
CharSetProber.__init__(self)
self._mCodingSM = [
CodingStateMachine(HZSMModel),
CodingStateMachine(ISO2022CNSMModel),
CodingStateMachine(ISO2022JPSMModel),
CodingStateMachine(ISO2022KRSMModel)
]
"""
This CharSetProber uses a "code scheme" approach for detecting encodings,
whereby easily recognizable escape or shift sequences are relied on to
identify these encodings.
"""
def __init__(self, lang_filter=None):
super(EscCharSetProber, self).__init__(lang_filter=lang_filter)
self.coding_sm = []
if self.lang_filter & LanguageFilter.CHINESE_SIMPLIFIED:
self.coding_sm.append(CodingStateMachine(HZ_SM_MODEL))
self.coding_sm.append(CodingStateMachine(ISO2022CN_SM_MODEL))
if self.lang_filter & LanguageFilter.JAPANESE:
self.coding_sm.append(CodingStateMachine(ISO2022JP_SM_MODEL))
if self.lang_filter & LanguageFilter.KOREAN:
self.coding_sm.append(CodingStateMachine(ISO2022KR_SM_MODEL))
self.active_sm_count = None
self._detected_charset = None
self._detected_language = None
self._state = None
self.reset()
def reset(self):
CharSetProber.reset(self)
for codingSM in self._mCodingSM:
if not codingSM:
super(EscCharSetProber, self).reset()
for coding_sm in self.coding_sm:
if not coding_sm:
continue
codingSM.active = True
codingSM.reset()
self._mActiveSM = len(self._mCodingSM)
self._mDetectedCharset = None
coding_sm.active = True
coding_sm.reset()
self.active_sm_count = len(self.coding_sm)
self._detected_charset = None
self._detected_language = None
def get_charset_name(self):
return self._mDetectedCharset
@property
def charset_name(self):
return self._detected_charset
@property
def language(self):
return self._detected_language
def get_confidence(self):
if self._mDetectedCharset:
if self._detected_charset:
return 0.99
else:
return 0.00
def feed(self, aBuf):
for c in aBuf:
# PY3K: aBuf is a byte array, so c is an int, not a byte
for codingSM in self._mCodingSM:
if not codingSM:
def feed(self, byte_str):
for c in byte_str:
for coding_sm in self.coding_sm:
if not coding_sm or not coding_sm.active:
continue
if not codingSM.active:
continue
codingState = codingSM.next_state(wrap_ord(c))
if codingState == constants.eError:
codingSM.active = False
self._mActiveSM -= 1
if self._mActiveSM <= 0:
self._mState = constants.eNotMe
return self.get_state()
elif codingState == constants.eItsMe:
self._mState = constants.eFoundIt
self._mDetectedCharset = codingSM.get_coding_state_machine() # nopep8
return self.get_state()
coding_state = coding_sm.next_state(c)
if coding_state == MachineState.ERROR:
coding_sm.active = False
self.active_sm_count -= 1
if self.active_sm_count <= 0:
self._state = ProbingState.NOT_ME
return self.state
elif coding_state == MachineState.ITS_ME:
self._state = ProbingState.FOUND_IT
self._detected_charset = coding_sm.get_coding_state_machine()
self._detected_language = coding_sm.language
return self.state
return self.get_state()
return self.state
+66 -62
View File
@@ -25,9 +25,9 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from .constants import eStart, eError, eItsMe
from .enums import MachineState
HZ_cls = (
HZ_CLS = (
1,0,0,0,0,0,0,0, # 00 - 07
0,0,0,0,0,0,0,0, # 08 - 0f
0,0,0,0,0,0,0,0, # 10 - 17
@@ -62,24 +62,25 @@ HZ_cls = (
1,1,1,1,1,1,1,1, # f8 - ff
)
HZ_st = (
eStart,eError, 3,eStart,eStart,eStart,eError,eError,# 00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,# 08-0f
eItsMe,eItsMe,eError,eError,eStart,eStart, 4,eError,# 10-17
5,eError, 6,eError, 5, 5, 4,eError,# 18-1f
4,eError, 4, 4, 4,eError, 4,eError,# 20-27
4,eItsMe,eStart,eStart,eStart,eStart,eStart,eStart,# 28-2f
HZ_ST = (
MachineState.START,MachineState.ERROR, 3,MachineState.START,MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,# 00-07
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,# 08-0f
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START, 4,MachineState.ERROR,# 10-17
5,MachineState.ERROR, 6,MachineState.ERROR, 5, 5, 4,MachineState.ERROR,# 18-1f
4,MachineState.ERROR, 4, 4, 4,MachineState.ERROR, 4,MachineState.ERROR,# 20-27
4,MachineState.ITS_ME,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,# 28-2f
)
HZCharLenTable = (0, 0, 0, 0, 0, 0)
HZ_CHAR_LEN_TABLE = (0, 0, 0, 0, 0, 0)
HZSMModel = {'classTable': HZ_cls,
'classFactor': 6,
'stateTable': HZ_st,
'charLenTable': HZCharLenTable,
'name': "HZ-GB-2312"}
HZ_SM_MODEL = {'class_table': HZ_CLS,
'class_factor': 6,
'state_table': HZ_ST,
'char_len_table': HZ_CHAR_LEN_TABLE,
'name': "HZ-GB-2312",
'language': 'Chinese'}
ISO2022CN_cls = (
ISO2022CN_CLS = (
2,0,0,0,0,0,0,0, # 00 - 07
0,0,0,0,0,0,0,0, # 08 - 0f
0,0,0,0,0,0,0,0, # 10 - 17
@@ -114,26 +115,27 @@ ISO2022CN_cls = (
2,2,2,2,2,2,2,2, # f8 - ff
)
ISO2022CN_st = (
eStart, 3,eError,eStart,eStart,eStart,eStart,eStart,# 00-07
eStart,eError,eError,eError,eError,eError,eError,eError,# 08-0f
eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,# 10-17
eItsMe,eItsMe,eItsMe,eError,eError,eError, 4,eError,# 18-1f
eError,eError,eError,eItsMe,eError,eError,eError,eError,# 20-27
5, 6,eError,eError,eError,eError,eError,eError,# 28-2f
eError,eError,eError,eItsMe,eError,eError,eError,eError,# 30-37
eError,eError,eError,eError,eError,eItsMe,eError,eStart,# 38-3f
ISO2022CN_ST = (
MachineState.START, 3,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,# 00-07
MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,# 08-0f
MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,# 10-17
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 4,MachineState.ERROR,# 18-1f
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,# 20-27
5, 6,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,# 28-2f
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,# 30-37
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,MachineState.START,# 38-3f
)
ISO2022CNCharLenTable = (0, 0, 0, 0, 0, 0, 0, 0, 0)
ISO2022CN_CHAR_LEN_TABLE = (0, 0, 0, 0, 0, 0, 0, 0, 0)
ISO2022CNSMModel = {'classTable': ISO2022CN_cls,
'classFactor': 9,
'stateTable': ISO2022CN_st,
'charLenTable': ISO2022CNCharLenTable,
'name': "ISO-2022-CN"}
ISO2022CN_SM_MODEL = {'class_table': ISO2022CN_CLS,
'class_factor': 9,
'state_table': ISO2022CN_ST,
'char_len_table': ISO2022CN_CHAR_LEN_TABLE,
'name': "ISO-2022-CN",
'language': 'Chinese'}
ISO2022JP_cls = (
ISO2022JP_CLS = (
2,0,0,0,0,0,0,0, # 00 - 07
0,0,0,0,0,0,2,2, # 08 - 0f
0,0,0,0,0,0,0,0, # 10 - 17
@@ -168,27 +170,28 @@ ISO2022JP_cls = (
2,2,2,2,2,2,2,2, # f8 - ff
)
ISO2022JP_st = (
eStart, 3,eError,eStart,eStart,eStart,eStart,eStart,# 00-07
eStart,eStart,eError,eError,eError,eError,eError,eError,# 08-0f
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,# 10-17
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eError,eError,# 18-1f
eError, 5,eError,eError,eError, 4,eError,eError,# 20-27
eError,eError,eError, 6,eItsMe,eError,eItsMe,eError,# 28-2f
eError,eError,eError,eError,eError,eError,eItsMe,eItsMe,# 30-37
eError,eError,eError,eItsMe,eError,eError,eError,eError,# 38-3f
eError,eError,eError,eError,eItsMe,eError,eStart,eStart,# 40-47
ISO2022JP_ST = (
MachineState.START, 3,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,# 00-07
MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,# 08-0f
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,# 10-17
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,# 18-1f
MachineState.ERROR, 5,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 4,MachineState.ERROR,MachineState.ERROR,# 20-27
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 6,MachineState.ITS_ME,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,# 28-2f
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,# 30-37
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,# 38-3f
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,MachineState.START,MachineState.START,# 40-47
)
ISO2022JPCharLenTable = (0, 0, 0, 0, 0, 0, 0, 0, 0, 0)
ISO2022JP_CHAR_LEN_TABLE = (0, 0, 0, 0, 0, 0, 0, 0, 0, 0)
ISO2022JPSMModel = {'classTable': ISO2022JP_cls,
'classFactor': 10,
'stateTable': ISO2022JP_st,
'charLenTable': ISO2022JPCharLenTable,
'name': "ISO-2022-JP"}
ISO2022JP_SM_MODEL = {'class_table': ISO2022JP_CLS,
'class_factor': 10,
'state_table': ISO2022JP_ST,
'char_len_table': ISO2022JP_CHAR_LEN_TABLE,
'name': "ISO-2022-JP",
'language': 'Japanese'}
ISO2022KR_cls = (
ISO2022KR_CLS = (
2,0,0,0,0,0,0,0, # 00 - 07
0,0,0,0,0,0,0,0, # 08 - 0f
0,0,0,0,0,0,0,0, # 10 - 17
@@ -223,20 +226,21 @@ ISO2022KR_cls = (
2,2,2,2,2,2,2,2, # f8 - ff
)
ISO2022KR_st = (
eStart, 3,eError,eStart,eStart,eStart,eError,eError,# 00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,# 08-0f
eItsMe,eItsMe,eError,eError,eError, 4,eError,eError,# 10-17
eError,eError,eError,eError, 5,eError,eError,eError,# 18-1f
eError,eError,eError,eItsMe,eStart,eStart,eStart,eStart,# 20-27
ISO2022KR_ST = (
MachineState.START, 3,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,# 00-07
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,# 08-0f
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 4,MachineState.ERROR,MachineState.ERROR,# 10-17
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 5,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,# 18-1f
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.START,MachineState.START,MachineState.START,MachineState.START,# 20-27
)
ISO2022KRCharLenTable = (0, 0, 0, 0, 0, 0)
ISO2022KR_CHAR_LEN_TABLE = (0, 0, 0, 0, 0, 0)
ISO2022KR_SM_MODEL = {'class_table': ISO2022KR_CLS,
'class_factor': 6,
'state_table': ISO2022KR_ST,
'char_len_table': ISO2022KR_CHAR_LEN_TABLE,
'name': "ISO-2022-KR",
'language': 'Korean'}
ISO2022KRSMModel = {'classTable': ISO2022KR_cls,
'classFactor': 6,
'stateTable': ISO2022KR_st,
'charLenTable': ISO2022KRCharLenTable,
'name': "ISO-2022-KR"}
# flake8: noqa
+42 -42
View File
@@ -25,68 +25,68 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
import sys
from . import constants
from .enums import ProbingState, MachineState
from .mbcharsetprober import MultiByteCharSetProber
from .codingstatemachine import CodingStateMachine
from .chardistribution import EUCJPDistributionAnalysis
from .jpcntx import EUCJPContextAnalysis
from .mbcssm import EUCJPSMModel
from .mbcssm import EUCJP_SM_MODEL
if sys.version_info >= (3, 0):
xrange = range
class EUCJPProber(MultiByteCharSetProber):
def __init__(self):
MultiByteCharSetProber.__init__(self)
self._mCodingSM = CodingStateMachine(EUCJPSMModel)
self._mDistributionAnalyzer = EUCJPDistributionAnalysis()
self._mContextAnalyzer = EUCJPContextAnalysis()
super(EUCJPProber, self).__init__()
self.coding_sm = CodingStateMachine(EUCJP_SM_MODEL)
self.distribution_analyzer = EUCJPDistributionAnalysis()
self.context_analyzer = EUCJPContextAnalysis()
self.reset()
def reset(self):
MultiByteCharSetProber.reset(self)
self._mContextAnalyzer.reset()
super(EUCJPProber, self).reset()
self.context_analyzer.reset()
def get_charset_name(self):
@property
def charset_name(self):
return "EUC-JP"
def feed(self, aBuf):
aLen = len(aBuf)
for i in xrange(0, aLen):
# PY3K: aBuf is a byte array, so aBuf[i] is an int, not a byte
codingState = self._mCodingSM.next_state(aBuf[i])
if codingState == constants.eError:
if constants._debug:
sys.stderr.write(self.get_charset_name()
+ ' prober hit error at byte ' + str(i)
+ '\n')
self._mState = constants.eNotMe
@property
def language(self):
return "Japanese"
def feed(self, byte_str):
for i in range(len(byte_str)):
# PY3K: byte_str is a byte array, so byte_str[i] is an int, not a byte
coding_state = self.coding_sm.next_state(byte_str[i])
if coding_state == MachineState.ERROR:
self.logger.debug('%s %s prober hit error at byte %s',
self.charset_name, self.language, i)
self._state = ProbingState.NOT_ME
break
elif codingState == constants.eItsMe:
self._mState = constants.eFoundIt
elif coding_state == MachineState.ITS_ME:
self._state = ProbingState.FOUND_IT
break
elif codingState == constants.eStart:
charLen = self._mCodingSM.get_current_charlen()
elif coding_state == MachineState.START:
char_len = self.coding_sm.get_current_charlen()
if i == 0:
self._mLastChar[1] = aBuf[0]
self._mContextAnalyzer.feed(self._mLastChar, charLen)
self._mDistributionAnalyzer.feed(self._mLastChar, charLen)
self._last_char[1] = byte_str[0]
self.context_analyzer.feed(self._last_char, char_len)
self.distribution_analyzer.feed(self._last_char, char_len)
else:
self._mContextAnalyzer.feed(aBuf[i - 1:i + 1], charLen)
self._mDistributionAnalyzer.feed(aBuf[i - 1:i + 1],
charLen)
self.context_analyzer.feed(byte_str[i - 1:i + 1],
char_len)
self.distribution_analyzer.feed(byte_str[i - 1:i + 1],
char_len)
self._mLastChar[0] = aBuf[aLen - 1]
self._last_char[0] = byte_str[-1]
if self.get_state() == constants.eDetecting:
if (self._mContextAnalyzer.got_enough_data() and
(self.get_confidence() > constants.SHORTCUT_THRESHOLD)):
self._mState = constants.eFoundIt
if self.state == ProbingState.DETECTING:
if (self.context_analyzer.got_enough_data() and
(self.get_confidence() > self.SHORTCUT_THRESHOLD)):
self._state = ProbingState.FOUND_IT
return self.get_state()
return self.state
def get_confidence(self):
contxtCf = self._mContextAnalyzer.get_confidence()
distribCf = self._mDistributionAnalyzer.get_confidence()
return max(contxtCf, distribCf)
context_conf = self.context_analyzer.get_confidence()
distrib_conf = self.distribution_analyzer.get_confidence()
return max(context_conf, distrib_conf)
+7 -408
View File
@@ -13,12 +13,12 @@
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
@@ -35,15 +35,15 @@
#
# Idea Distribution Ratio = 0.98653 / (1-0.98653) = 73.24
# Random Distribution Ration = 512 / (2350-512) = 0.279.
#
# Typical Distribution Ratio
#
# Typical Distribution Ratio
EUCKR_TYPICAL_DISTRIBUTION_RATIO = 6.0
EUCKR_TABLE_SIZE = 2352
# Char to FreqOrder table ,
EUCKRCharToFreqOrder = ( \
# Char to FreqOrder table ,
EUCKR_CHAR_TO_FREQ_ORDER = (
13, 130, 120,1396, 481,1719,1720, 328, 609, 212,1721, 707, 400, 299,1722, 87,
1397,1723, 104, 536,1117,1203,1724,1267, 685,1268, 508,1725,1726,1727,1728,1398,
1399,1729,1730,1731, 141, 621, 326,1057, 368,1732, 267, 488, 20,1733,1269,1734,
@@ -191,406 +191,5 @@ EUCKRCharToFreqOrder = ( \
1009,2620,2621,2622,1538, 690,1328,2623, 955,2624,1539,2625,2626, 772,2627,2628,
2629,2630,2631, 924, 648, 863, 603,2632,2633, 934,1540, 864, 865,2634, 642,1042,
670,1190,2635,2636,2637,2638, 168,2639, 652, 873, 542,1054,1541,2640,2641,2642, # 512, 256
#Everything below is of no interest for detection purpose
2643,2644,2645,2646,2647,2648,2649,2650,2651,2652,2653,2654,2655,2656,2657,2658,
2659,2660,2661,2662,2663,2664,2665,2666,2667,2668,2669,2670,2671,2672,2673,2674,
2675,2676,2677,2678,2679,2680,2681,2682,2683,2684,2685,2686,2687,2688,2689,2690,
2691,2692,2693,2694,2695,2696,2697,2698,2699,1542, 880,2700,2701,2702,2703,2704,
2705,2706,2707,2708,2709,2710,2711,2712,2713,2714,2715,2716,2717,2718,2719,2720,
2721,2722,2723,2724,2725,1543,2726,2727,2728,2729,2730,2731,2732,1544,2733,2734,
2735,2736,2737,2738,2739,2740,2741,2742,2743,2744,2745,2746,2747,2748,2749,2750,
2751,2752,2753,2754,1545,2755,2756,2757,2758,2759,2760,2761,2762,2763,2764,2765,
2766,1546,2767,1547,2768,2769,2770,2771,2772,2773,2774,2775,2776,2777,2778,2779,
2780,2781,2782,2783,2784,2785,2786,1548,2787,2788,2789,1109,2790,2791,2792,2793,
2794,2795,2796,2797,2798,2799,2800,2801,2802,2803,2804,2805,2806,2807,2808,2809,
2810,2811,2812,1329,2813,2814,2815,2816,2817,2818,2819,2820,2821,2822,2823,2824,
2825,2826,2827,2828,2829,2830,2831,2832,2833,2834,2835,2836,2837,2838,2839,2840,
2841,2842,2843,2844,2845,2846,2847,2848,2849,2850,2851,2852,2853,2854,2855,2856,
1549,2857,2858,2859,2860,1550,2861,2862,1551,2863,2864,2865,2866,2867,2868,2869,
2870,2871,2872,2873,2874,1110,1330,2875,2876,2877,2878,2879,2880,2881,2882,2883,
2884,2885,2886,2887,2888,2889,2890,2891,2892,2893,2894,2895,2896,2897,2898,2899,
2900,2901,2902,2903,2904,2905,2906,2907,2908,2909,2910,2911,2912,2913,2914,2915,
2916,2917,2918,2919,2920,2921,2922,2923,2924,2925,2926,2927,2928,2929,2930,1331,
2931,2932,2933,2934,2935,2936,2937,2938,2939,2940,2941,2942,2943,1552,2944,2945,
2946,2947,2948,2949,2950,2951,2952,2953,2954,2955,2956,2957,2958,2959,2960,2961,
2962,2963,2964,1252,2965,2966,2967,2968,2969,2970,2971,2972,2973,2974,2975,2976,
2977,2978,2979,2980,2981,2982,2983,2984,2985,2986,2987,2988,2989,2990,2991,2992,
2993,2994,2995,2996,2997,2998,2999,3000,3001,3002,3003,3004,3005,3006,3007,3008,
3009,3010,3011,3012,1553,3013,3014,3015,3016,3017,1554,3018,1332,3019,3020,3021,
3022,3023,3024,3025,3026,3027,3028,3029,3030,3031,3032,3033,3034,3035,3036,3037,
3038,3039,3040,3041,3042,3043,3044,3045,3046,3047,3048,3049,3050,1555,3051,3052,
3053,1556,1557,3054,3055,3056,3057,3058,3059,3060,3061,3062,3063,3064,3065,3066,
3067,1558,3068,3069,3070,3071,3072,3073,3074,3075,3076,1559,3077,3078,3079,3080,
3081,3082,3083,1253,3084,3085,3086,3087,3088,3089,3090,3091,3092,3093,3094,3095,
3096,3097,3098,3099,3100,3101,3102,3103,3104,3105,3106,3107,3108,1152,3109,3110,
3111,3112,3113,1560,3114,3115,3116,3117,1111,3118,3119,3120,3121,3122,3123,3124,
3125,3126,3127,3128,3129,3130,3131,3132,3133,3134,3135,3136,3137,3138,3139,3140,
3141,3142,3143,3144,3145,3146,3147,3148,3149,3150,3151,3152,3153,3154,3155,3156,
3157,3158,3159,3160,3161,3162,3163,3164,3165,3166,3167,3168,3169,3170,3171,3172,
3173,3174,3175,3176,1333,3177,3178,3179,3180,3181,3182,3183,3184,3185,3186,3187,
3188,3189,1561,3190,3191,1334,3192,3193,3194,3195,3196,3197,3198,3199,3200,3201,
3202,3203,3204,3205,3206,3207,3208,3209,3210,3211,3212,3213,3214,3215,3216,3217,
3218,3219,3220,3221,3222,3223,3224,3225,3226,3227,3228,3229,3230,3231,3232,3233,
3234,1562,3235,3236,3237,3238,3239,3240,3241,3242,3243,3244,3245,3246,3247,3248,
3249,3250,3251,3252,3253,3254,3255,3256,3257,3258,3259,3260,3261,3262,3263,3264,
3265,3266,3267,3268,3269,3270,3271,3272,3273,3274,3275,3276,3277,1563,3278,3279,
3280,3281,3282,3283,3284,3285,3286,3287,3288,3289,3290,3291,3292,3293,3294,3295,
3296,3297,3298,3299,3300,3301,3302,3303,3304,3305,3306,3307,3308,3309,3310,3311,
3312,3313,3314,3315,3316,3317,3318,3319,3320,3321,3322,3323,3324,3325,3326,3327,
3328,3329,3330,3331,3332,3333,3334,3335,3336,3337,3338,3339,3340,3341,3342,3343,
3344,3345,3346,3347,3348,3349,3350,3351,3352,3353,3354,3355,3356,3357,3358,3359,
3360,3361,3362,3363,3364,1335,3365,3366,3367,3368,3369,3370,3371,3372,3373,3374,
3375,3376,3377,3378,3379,3380,3381,3382,3383,3384,3385,3386,3387,1336,3388,3389,
3390,3391,3392,3393,3394,3395,3396,3397,3398,3399,3400,3401,3402,3403,3404,3405,
3406,3407,3408,3409,3410,3411,3412,3413,3414,1337,3415,3416,3417,3418,3419,1338,
3420,3421,3422,1564,1565,3423,3424,3425,3426,3427,3428,3429,3430,3431,1254,3432,
3433,3434,1339,3435,3436,3437,3438,3439,1566,3440,3441,3442,3443,3444,3445,3446,
3447,3448,3449,3450,3451,3452,3453,3454,1255,3455,3456,3457,3458,3459,1567,1191,
3460,1568,1569,3461,3462,3463,1570,3464,3465,3466,3467,3468,1571,3469,3470,3471,
3472,3473,1572,3474,3475,3476,3477,3478,3479,3480,3481,3482,3483,3484,3485,3486,
1340,3487,3488,3489,3490,3491,3492,1021,3493,3494,3495,3496,3497,3498,1573,3499,
1341,3500,3501,3502,3503,3504,3505,3506,3507,3508,3509,3510,3511,1342,3512,3513,
3514,3515,3516,1574,1343,3517,3518,3519,1575,3520,1576,3521,3522,3523,3524,3525,
3526,3527,3528,3529,3530,3531,3532,3533,3534,3535,3536,3537,3538,3539,3540,3541,
3542,3543,3544,3545,3546,3547,3548,3549,3550,3551,3552,3553,3554,3555,3556,3557,
3558,3559,3560,3561,3562,3563,3564,3565,3566,3567,3568,3569,3570,3571,3572,3573,
3574,3575,3576,3577,3578,3579,3580,1577,3581,3582,1578,3583,3584,3585,3586,3587,
3588,3589,3590,3591,3592,3593,3594,3595,3596,3597,3598,3599,3600,3601,3602,3603,
3604,1579,3605,3606,3607,3608,3609,3610,3611,3612,3613,3614,3615,3616,3617,3618,
3619,3620,3621,3622,3623,3624,3625,3626,3627,3628,3629,1580,3630,3631,1581,3632,
3633,3634,3635,3636,3637,3638,3639,3640,3641,3642,3643,3644,3645,3646,3647,3648,
3649,3650,3651,3652,3653,3654,3655,3656,1582,3657,3658,3659,3660,3661,3662,3663,
3664,3665,3666,3667,3668,3669,3670,3671,3672,3673,3674,3675,3676,3677,3678,3679,
3680,3681,3682,3683,3684,3685,3686,3687,3688,3689,3690,3691,3692,3693,3694,3695,
3696,3697,3698,3699,3700,1192,3701,3702,3703,3704,1256,3705,3706,3707,3708,1583,
1257,3709,3710,3711,3712,3713,3714,3715,3716,1584,3717,3718,3719,3720,3721,3722,
3723,3724,3725,3726,3727,3728,3729,3730,3731,3732,3733,3734,3735,3736,3737,3738,
3739,3740,3741,3742,3743,3744,3745,1344,3746,3747,3748,3749,3750,3751,3752,3753,
3754,3755,3756,1585,3757,3758,3759,3760,3761,3762,3763,3764,3765,3766,1586,3767,
3768,3769,3770,3771,3772,3773,3774,3775,3776,3777,3778,1345,3779,3780,3781,3782,
3783,3784,3785,3786,3787,3788,3789,3790,3791,3792,3793,3794,3795,1346,1587,3796,
3797,1588,3798,3799,3800,3801,3802,3803,3804,3805,3806,1347,3807,3808,3809,3810,
3811,1589,3812,3813,3814,3815,3816,3817,3818,3819,3820,3821,1590,3822,3823,1591,
1348,3824,3825,3826,3827,3828,3829,3830,1592,3831,3832,1593,3833,3834,3835,3836,
3837,3838,3839,3840,3841,3842,3843,3844,1349,3845,3846,3847,3848,3849,3850,3851,
3852,3853,3854,3855,3856,3857,3858,1594,3859,3860,3861,3862,3863,3864,3865,3866,
3867,3868,3869,1595,3870,3871,3872,3873,1596,3874,3875,3876,3877,3878,3879,3880,
3881,3882,3883,3884,3885,3886,1597,3887,3888,3889,3890,3891,3892,3893,3894,3895,
1598,3896,3897,3898,1599,1600,3899,1350,3900,1351,3901,3902,1352,3903,3904,3905,
3906,3907,3908,3909,3910,3911,3912,3913,3914,3915,3916,3917,3918,3919,3920,3921,
3922,3923,3924,1258,3925,3926,3927,3928,3929,3930,3931,1193,3932,1601,3933,3934,
3935,3936,3937,3938,3939,3940,3941,3942,3943,1602,3944,3945,3946,3947,3948,1603,
3949,3950,3951,3952,3953,3954,3955,3956,3957,3958,3959,3960,3961,3962,3963,3964,
3965,1604,3966,3967,3968,3969,3970,3971,3972,3973,3974,3975,3976,3977,1353,3978,
3979,3980,3981,3982,3983,3984,3985,3986,3987,3988,3989,3990,3991,1354,3992,3993,
3994,3995,3996,3997,3998,3999,4000,4001,4002,4003,4004,4005,4006,4007,4008,4009,
4010,4011,4012,4013,4014,4015,4016,4017,4018,4019,4020,4021,4022,4023,1355,4024,
4025,4026,4027,4028,4029,4030,4031,4032,4033,4034,4035,4036,4037,4038,4039,4040,
1605,4041,4042,4043,4044,4045,4046,4047,4048,4049,4050,4051,4052,4053,4054,4055,
4056,4057,4058,4059,4060,1606,4061,4062,4063,4064,1607,4065,4066,4067,4068,4069,
4070,4071,4072,4073,4074,4075,4076,1194,4077,4078,1608,4079,4080,4081,4082,4083,
4084,4085,4086,4087,1609,4088,4089,4090,4091,4092,4093,4094,4095,4096,4097,4098,
4099,4100,4101,4102,4103,4104,4105,4106,4107,4108,1259,4109,4110,4111,4112,4113,
4114,4115,4116,4117,4118,4119,4120,4121,4122,4123,4124,1195,4125,4126,4127,1610,
4128,4129,4130,4131,4132,4133,4134,4135,4136,4137,1356,4138,4139,4140,4141,4142,
4143,4144,1611,4145,4146,4147,4148,4149,4150,4151,4152,4153,4154,4155,4156,4157,
4158,4159,4160,4161,4162,4163,4164,4165,4166,4167,4168,4169,4170,4171,4172,4173,
4174,4175,4176,4177,4178,4179,4180,4181,4182,4183,4184,4185,4186,4187,4188,4189,
4190,4191,4192,4193,4194,4195,4196,4197,4198,4199,4200,4201,4202,4203,4204,4205,
4206,4207,4208,4209,4210,4211,4212,4213,4214,4215,4216,4217,4218,4219,1612,4220,
4221,4222,4223,4224,4225,4226,4227,1357,4228,1613,4229,4230,4231,4232,4233,4234,
4235,4236,4237,4238,4239,4240,4241,4242,4243,1614,4244,4245,4246,4247,4248,4249,
4250,4251,4252,4253,4254,4255,4256,4257,4258,4259,4260,4261,4262,4263,4264,4265,
4266,4267,4268,4269,4270,1196,1358,4271,4272,4273,4274,4275,4276,4277,4278,4279,
4280,4281,4282,4283,4284,4285,4286,4287,1615,4288,4289,4290,4291,4292,4293,4294,
4295,4296,4297,4298,4299,4300,4301,4302,4303,4304,4305,4306,4307,4308,4309,4310,
4311,4312,4313,4314,4315,4316,4317,4318,4319,4320,4321,4322,4323,4324,4325,4326,
4327,4328,4329,4330,4331,4332,4333,4334,1616,4335,4336,4337,4338,4339,4340,4341,
4342,4343,4344,4345,4346,4347,4348,4349,4350,4351,4352,4353,4354,4355,4356,4357,
4358,4359,4360,1617,4361,4362,4363,4364,4365,1618,4366,4367,4368,4369,4370,4371,
4372,4373,4374,4375,4376,4377,4378,4379,4380,4381,4382,4383,4384,4385,4386,4387,
4388,4389,4390,4391,4392,4393,4394,4395,4396,4397,4398,4399,4400,4401,4402,4403,
4404,4405,4406,4407,4408,4409,4410,4411,4412,4413,4414,4415,4416,1619,4417,4418,
4419,4420,4421,4422,4423,4424,4425,1112,4426,4427,4428,4429,4430,1620,4431,4432,
4433,4434,4435,4436,4437,4438,4439,4440,4441,4442,1260,1261,4443,4444,4445,4446,
4447,4448,4449,4450,4451,4452,4453,4454,4455,1359,4456,4457,4458,4459,4460,4461,
4462,4463,4464,4465,1621,4466,4467,4468,4469,4470,4471,4472,4473,4474,4475,4476,
4477,4478,4479,4480,4481,4482,4483,4484,4485,4486,4487,4488,4489,1055,4490,4491,
4492,4493,4494,4495,4496,4497,4498,4499,4500,4501,4502,4503,4504,4505,4506,4507,
4508,4509,4510,4511,4512,4513,4514,4515,4516,4517,4518,1622,4519,4520,4521,1623,
4522,4523,4524,4525,4526,4527,4528,4529,4530,4531,4532,4533,4534,4535,1360,4536,
4537,4538,4539,4540,4541,4542,4543, 975,4544,4545,4546,4547,4548,4549,4550,4551,
4552,4553,4554,4555,4556,4557,4558,4559,4560,4561,4562,4563,4564,4565,4566,4567,
4568,4569,4570,4571,1624,4572,4573,4574,4575,4576,1625,4577,4578,4579,4580,4581,
4582,4583,4584,1626,4585,4586,4587,4588,4589,4590,4591,4592,4593,4594,4595,1627,
4596,4597,4598,4599,4600,4601,4602,4603,4604,4605,4606,4607,4608,4609,4610,4611,
4612,4613,4614,4615,1628,4616,4617,4618,4619,4620,4621,4622,4623,4624,4625,4626,
4627,4628,4629,4630,4631,4632,4633,4634,4635,4636,4637,4638,4639,4640,4641,4642,
4643,4644,4645,4646,4647,4648,4649,1361,4650,4651,4652,4653,4654,4655,4656,4657,
4658,4659,4660,4661,1362,4662,4663,4664,4665,4666,4667,4668,4669,4670,4671,4672,
4673,4674,4675,4676,4677,4678,4679,4680,4681,4682,1629,4683,4684,4685,4686,4687,
1630,4688,4689,4690,4691,1153,4692,4693,4694,1113,4695,4696,4697,4698,4699,4700,
4701,4702,4703,4704,4705,4706,4707,4708,4709,4710,4711,1197,4712,4713,4714,4715,
4716,4717,4718,4719,4720,4721,4722,4723,4724,4725,4726,4727,4728,4729,4730,4731,
4732,4733,4734,4735,1631,4736,1632,4737,4738,4739,4740,4741,4742,4743,4744,1633,
4745,4746,4747,4748,4749,1262,4750,4751,4752,4753,4754,1363,4755,4756,4757,4758,
4759,4760,4761,4762,4763,4764,4765,4766,4767,4768,1634,4769,4770,4771,4772,4773,
4774,4775,4776,4777,4778,1635,4779,4780,4781,4782,4783,4784,4785,4786,4787,4788,
4789,1636,4790,4791,4792,4793,4794,4795,4796,4797,4798,4799,4800,4801,4802,4803,
4804,4805,4806,1637,4807,4808,4809,1638,4810,4811,4812,4813,4814,4815,4816,4817,
4818,1639,4819,4820,4821,4822,4823,4824,4825,4826,4827,4828,4829,4830,4831,4832,
4833,1077,4834,4835,4836,4837,4838,4839,4840,4841,4842,4843,4844,4845,4846,4847,
4848,4849,4850,4851,4852,4853,4854,4855,4856,4857,4858,4859,4860,4861,4862,4863,
4864,4865,4866,4867,4868,4869,4870,4871,4872,4873,4874,4875,4876,4877,4878,4879,
4880,4881,4882,4883,1640,4884,4885,1641,4886,4887,4888,4889,4890,4891,4892,4893,
4894,4895,4896,4897,4898,4899,4900,4901,4902,4903,4904,4905,4906,4907,4908,4909,
4910,4911,1642,4912,4913,4914,1364,4915,4916,4917,4918,4919,4920,4921,4922,4923,
4924,4925,4926,4927,4928,4929,4930,4931,1643,4932,4933,4934,4935,4936,4937,4938,
4939,4940,4941,4942,4943,4944,4945,4946,4947,4948,4949,4950,4951,4952,4953,4954,
4955,4956,4957,4958,4959,4960,4961,4962,4963,4964,4965,4966,4967,4968,4969,4970,
4971,4972,4973,4974,4975,4976,4977,4978,4979,4980,1644,4981,4982,4983,4984,1645,
4985,4986,1646,4987,4988,4989,4990,4991,4992,4993,4994,4995,4996,4997,4998,4999,
5000,5001,5002,5003,5004,5005,1647,5006,1648,5007,5008,5009,5010,5011,5012,1078,
5013,5014,5015,5016,5017,5018,5019,5020,5021,5022,5023,5024,5025,5026,5027,5028,
1365,5029,5030,5031,5032,5033,5034,5035,5036,5037,5038,5039,1649,5040,5041,5042,
5043,5044,5045,1366,5046,5047,5048,5049,5050,5051,5052,5053,5054,5055,1650,5056,
5057,5058,5059,5060,5061,5062,5063,5064,5065,5066,5067,5068,5069,5070,5071,5072,
5073,5074,5075,5076,5077,1651,5078,5079,5080,5081,5082,5083,5084,5085,5086,5087,
5088,5089,5090,5091,5092,5093,5094,5095,5096,5097,5098,5099,5100,5101,5102,5103,
5104,5105,5106,5107,5108,5109,5110,1652,5111,5112,5113,5114,5115,5116,5117,5118,
1367,5119,5120,5121,5122,5123,5124,5125,5126,5127,5128,5129,1653,5130,5131,5132,
5133,5134,5135,5136,5137,5138,5139,5140,5141,5142,5143,5144,5145,5146,5147,5148,
5149,1368,5150,1654,5151,1369,5152,5153,5154,5155,5156,5157,5158,5159,5160,5161,
5162,5163,5164,5165,5166,5167,5168,5169,5170,5171,5172,5173,5174,5175,5176,5177,
5178,1370,5179,5180,5181,5182,5183,5184,5185,5186,5187,5188,5189,5190,5191,5192,
5193,5194,5195,5196,5197,5198,1655,5199,5200,5201,5202,1656,5203,5204,5205,5206,
1371,5207,1372,5208,5209,5210,5211,1373,5212,5213,1374,5214,5215,5216,5217,5218,
5219,5220,5221,5222,5223,5224,5225,5226,5227,5228,5229,5230,5231,5232,5233,5234,
5235,5236,5237,5238,5239,5240,5241,5242,5243,5244,5245,5246,5247,1657,5248,5249,
5250,5251,1658,1263,5252,5253,5254,5255,5256,1375,5257,5258,5259,5260,5261,5262,
5263,5264,5265,5266,5267,5268,5269,5270,5271,5272,5273,5274,5275,5276,5277,5278,
5279,5280,5281,5282,5283,1659,5284,5285,5286,5287,5288,5289,5290,5291,5292,5293,
5294,5295,5296,5297,5298,5299,5300,1660,5301,5302,5303,5304,5305,5306,5307,5308,
5309,5310,5311,5312,5313,5314,5315,5316,5317,5318,5319,5320,5321,1376,5322,5323,
5324,5325,5326,5327,5328,5329,5330,5331,5332,5333,1198,5334,5335,5336,5337,5338,
5339,5340,5341,5342,5343,1661,5344,5345,5346,5347,5348,5349,5350,5351,5352,5353,
5354,5355,5356,5357,5358,5359,5360,5361,5362,5363,5364,5365,5366,5367,5368,5369,
5370,5371,5372,5373,5374,5375,5376,5377,5378,5379,5380,5381,5382,5383,5384,5385,
5386,5387,5388,5389,5390,5391,5392,5393,5394,5395,5396,5397,5398,1264,5399,5400,
5401,5402,5403,5404,5405,5406,5407,5408,5409,5410,5411,5412,1662,5413,5414,5415,
5416,1663,5417,5418,5419,5420,5421,5422,5423,5424,5425,5426,5427,5428,5429,5430,
5431,5432,5433,5434,5435,5436,5437,5438,1664,5439,5440,5441,5442,5443,5444,5445,
5446,5447,5448,5449,5450,5451,5452,5453,5454,5455,5456,5457,5458,5459,5460,5461,
5462,5463,5464,5465,5466,5467,5468,5469,5470,5471,5472,5473,5474,5475,5476,5477,
5478,1154,5479,5480,5481,5482,5483,5484,5485,1665,5486,5487,5488,5489,5490,5491,
5492,5493,5494,5495,5496,5497,5498,5499,5500,5501,5502,5503,5504,5505,5506,5507,
5508,5509,5510,5511,5512,5513,5514,5515,5516,5517,5518,5519,5520,5521,5522,5523,
5524,5525,5526,5527,5528,5529,5530,5531,5532,5533,5534,5535,5536,5537,5538,5539,
5540,5541,5542,5543,5544,5545,5546,5547,5548,1377,5549,5550,5551,5552,5553,5554,
5555,5556,5557,5558,5559,5560,5561,5562,5563,5564,5565,5566,5567,5568,5569,5570,
1114,5571,5572,5573,5574,5575,5576,5577,5578,5579,5580,5581,5582,5583,5584,5585,
5586,5587,5588,5589,5590,5591,5592,1378,5593,5594,5595,5596,5597,5598,5599,5600,
5601,5602,5603,5604,5605,5606,5607,5608,5609,5610,5611,5612,5613,5614,1379,5615,
5616,5617,5618,5619,5620,5621,5622,5623,5624,5625,5626,5627,5628,5629,5630,5631,
5632,5633,5634,1380,5635,5636,5637,5638,5639,5640,5641,5642,5643,5644,5645,5646,
5647,5648,5649,1381,1056,5650,5651,5652,5653,5654,5655,5656,5657,5658,5659,5660,
1666,5661,5662,5663,5664,5665,5666,5667,5668,1667,5669,1668,5670,5671,5672,5673,
5674,5675,5676,5677,5678,1155,5679,5680,5681,5682,5683,5684,5685,5686,5687,5688,
5689,5690,5691,5692,5693,5694,5695,5696,5697,5698,1669,5699,5700,5701,5702,5703,
5704,5705,1670,5706,5707,5708,5709,5710,1671,5711,5712,5713,5714,1382,5715,5716,
5717,5718,5719,5720,5721,5722,5723,5724,5725,1672,5726,5727,1673,1674,5728,5729,
5730,5731,5732,5733,5734,5735,5736,1675,5737,5738,5739,5740,5741,5742,5743,5744,
1676,5745,5746,5747,5748,5749,5750,5751,1383,5752,5753,5754,5755,5756,5757,5758,
5759,5760,5761,5762,5763,5764,5765,5766,5767,5768,1677,5769,5770,5771,5772,5773,
1678,5774,5775,5776, 998,5777,5778,5779,5780,5781,5782,5783,5784,5785,1384,5786,
5787,5788,5789,5790,5791,5792,5793,5794,5795,5796,5797,5798,5799,5800,1679,5801,
5802,5803,1115,1116,5804,5805,5806,5807,5808,5809,5810,5811,5812,5813,5814,5815,
5816,5817,5818,5819,5820,5821,5822,5823,5824,5825,5826,5827,5828,5829,5830,5831,
5832,5833,5834,5835,5836,5837,5838,5839,5840,5841,5842,5843,5844,5845,5846,5847,
5848,5849,5850,5851,5852,5853,5854,5855,1680,5856,5857,5858,5859,5860,5861,5862,
5863,5864,1681,5865,5866,5867,1682,5868,5869,5870,5871,5872,5873,5874,5875,5876,
5877,5878,5879,1683,5880,1684,5881,5882,5883,5884,1685,5885,5886,5887,5888,5889,
5890,5891,5892,5893,5894,5895,5896,5897,5898,5899,5900,5901,5902,5903,5904,5905,
5906,5907,1686,5908,5909,5910,5911,5912,5913,5914,5915,5916,5917,5918,5919,5920,
5921,5922,5923,5924,5925,5926,5927,5928,5929,5930,5931,5932,5933,5934,5935,1687,
5936,5937,5938,5939,5940,5941,5942,5943,5944,5945,5946,5947,5948,5949,5950,5951,
5952,1688,1689,5953,1199,5954,5955,5956,5957,5958,5959,5960,5961,1690,5962,5963,
5964,5965,5966,5967,5968,5969,5970,5971,5972,5973,5974,5975,5976,5977,5978,5979,
5980,5981,1385,5982,1386,5983,5984,5985,5986,5987,5988,5989,5990,5991,5992,5993,
5994,5995,5996,5997,5998,5999,6000,6001,6002,6003,6004,6005,6006,6007,6008,6009,
6010,6011,6012,6013,6014,6015,6016,6017,6018,6019,6020,6021,6022,6023,6024,6025,
6026,6027,1265,6028,6029,1691,6030,6031,6032,6033,6034,6035,6036,6037,6038,6039,
6040,6041,6042,6043,6044,6045,6046,6047,6048,6049,6050,6051,6052,6053,6054,6055,
6056,6057,6058,6059,6060,6061,6062,6063,6064,6065,6066,6067,6068,6069,6070,6071,
6072,6073,6074,6075,6076,6077,6078,6079,6080,6081,6082,6083,6084,1692,6085,6086,
6087,6088,6089,6090,6091,6092,6093,6094,6095,6096,6097,6098,6099,6100,6101,6102,
6103,6104,6105,6106,6107,6108,6109,6110,6111,6112,6113,6114,6115,6116,6117,6118,
6119,6120,6121,6122,6123,6124,6125,6126,6127,6128,6129,6130,6131,1693,6132,6133,
6134,6135,6136,1694,6137,6138,6139,6140,6141,1695,6142,6143,6144,6145,6146,6147,
6148,6149,6150,6151,6152,6153,6154,6155,6156,6157,6158,6159,6160,6161,6162,6163,
6164,6165,6166,6167,6168,6169,6170,6171,6172,6173,6174,6175,6176,6177,6178,6179,
6180,6181,6182,6183,6184,6185,1696,6186,6187,6188,6189,6190,6191,6192,6193,6194,
6195,6196,6197,6198,6199,6200,6201,6202,6203,6204,6205,6206,6207,6208,6209,6210,
6211,6212,6213,6214,6215,6216,6217,6218,6219,1697,6220,6221,6222,6223,6224,6225,
6226,6227,6228,6229,6230,6231,6232,6233,6234,6235,6236,6237,6238,6239,6240,6241,
6242,6243,6244,6245,6246,6247,6248,6249,6250,6251,6252,6253,1698,6254,6255,6256,
6257,6258,6259,6260,6261,6262,6263,1200,6264,6265,6266,6267,6268,6269,6270,6271, #1024
6272,6273,6274,6275,6276,6277,6278,6279,6280,6281,6282,6283,6284,6285,6286,6287,
6288,6289,6290,6291,6292,6293,6294,6295,6296,6297,6298,6299,6300,6301,6302,1699,
6303,6304,1700,6305,6306,6307,6308,6309,6310,6311,6312,6313,6314,6315,6316,6317,
6318,6319,6320,6321,6322,6323,6324,6325,6326,6327,6328,6329,6330,6331,6332,6333,
6334,6335,6336,6337,6338,6339,1701,6340,6341,6342,6343,6344,1387,6345,6346,6347,
6348,6349,6350,6351,6352,6353,6354,6355,6356,6357,6358,6359,6360,6361,6362,6363,
6364,6365,6366,6367,6368,6369,6370,6371,6372,6373,6374,6375,6376,6377,6378,6379,
6380,6381,6382,6383,6384,6385,6386,6387,6388,6389,6390,6391,6392,6393,6394,6395,
6396,6397,6398,6399,6400,6401,6402,6403,6404,6405,6406,6407,6408,6409,6410,6411,
6412,6413,1702,6414,6415,6416,6417,6418,6419,6420,6421,6422,1703,6423,6424,6425,
6426,6427,6428,6429,6430,6431,6432,6433,6434,6435,6436,6437,6438,1704,6439,6440,
6441,6442,6443,6444,6445,6446,6447,6448,6449,6450,6451,6452,6453,6454,6455,6456,
6457,6458,6459,6460,6461,6462,6463,6464,6465,6466,6467,6468,6469,6470,6471,6472,
6473,6474,6475,6476,6477,6478,6479,6480,6481,6482,6483,6484,6485,6486,6487,6488,
6489,6490,6491,6492,6493,6494,6495,6496,6497,6498,6499,6500,6501,6502,6503,1266,
6504,6505,6506,6507,6508,6509,6510,6511,6512,6513,6514,6515,6516,6517,6518,6519,
6520,6521,6522,6523,6524,6525,6526,6527,6528,6529,6530,6531,6532,6533,6534,6535,
6536,6537,6538,6539,6540,6541,6542,6543,6544,6545,6546,6547,6548,6549,6550,6551,
1705,1706,6552,6553,6554,6555,6556,6557,6558,6559,6560,6561,6562,6563,6564,6565,
6566,6567,6568,6569,6570,6571,6572,6573,6574,6575,6576,6577,6578,6579,6580,6581,
6582,6583,6584,6585,6586,6587,6588,6589,6590,6591,6592,6593,6594,6595,6596,6597,
6598,6599,6600,6601,6602,6603,6604,6605,6606,6607,6608,6609,6610,6611,6612,6613,
6614,6615,6616,6617,6618,6619,6620,6621,6622,6623,6624,6625,6626,6627,6628,6629,
6630,6631,6632,6633,6634,6635,6636,6637,1388,6638,6639,6640,6641,6642,6643,6644,
1707,6645,6646,6647,6648,6649,6650,6651,6652,6653,6654,6655,6656,6657,6658,6659,
6660,6661,6662,6663,1708,6664,6665,6666,6667,6668,6669,6670,6671,6672,6673,6674,
1201,6675,6676,6677,6678,6679,6680,6681,6682,6683,6684,6685,6686,6687,6688,6689,
6690,6691,6692,6693,6694,6695,6696,6697,6698,6699,6700,6701,6702,6703,6704,6705,
6706,6707,6708,6709,6710,6711,6712,6713,6714,6715,6716,6717,6718,6719,6720,6721,
6722,6723,6724,6725,1389,6726,6727,6728,6729,6730,6731,6732,6733,6734,6735,6736,
1390,1709,6737,6738,6739,6740,6741,6742,1710,6743,6744,6745,6746,1391,6747,6748,
6749,6750,6751,6752,6753,6754,6755,6756,6757,1392,6758,6759,6760,6761,6762,6763,
6764,6765,6766,6767,6768,6769,6770,6771,6772,6773,6774,6775,6776,6777,6778,6779,
6780,1202,6781,6782,6783,6784,6785,6786,6787,6788,6789,6790,6791,6792,6793,6794,
6795,6796,6797,6798,6799,6800,6801,6802,6803,6804,6805,6806,6807,6808,6809,1711,
6810,6811,6812,6813,6814,6815,6816,6817,6818,6819,6820,6821,6822,6823,6824,6825,
6826,6827,6828,6829,6830,6831,6832,6833,6834,6835,6836,1393,6837,6838,6839,6840,
6841,6842,6843,6844,6845,6846,6847,6848,6849,6850,6851,6852,6853,6854,6855,6856,
6857,6858,6859,6860,6861,6862,6863,6864,6865,6866,6867,6868,6869,6870,6871,6872,
6873,6874,6875,6876,6877,6878,6879,6880,6881,6882,6883,6884,6885,6886,6887,6888,
6889,6890,6891,6892,6893,6894,6895,6896,6897,6898,6899,6900,6901,6902,1712,6903,
6904,6905,6906,6907,6908,6909,6910,1713,6911,6912,6913,6914,6915,6916,6917,6918,
6919,6920,6921,6922,6923,6924,6925,6926,6927,6928,6929,6930,6931,6932,6933,6934,
6935,6936,6937,6938,6939,6940,6941,6942,6943,6944,6945,6946,6947,6948,6949,6950,
6951,6952,6953,6954,6955,6956,6957,6958,6959,6960,6961,6962,6963,6964,6965,6966,
6967,6968,6969,6970,6971,6972,6973,6974,1714,6975,6976,6977,6978,6979,6980,6981,
6982,6983,6984,6985,6986,6987,6988,1394,6989,6990,6991,6992,6993,6994,6995,6996,
6997,6998,6999,7000,1715,7001,7002,7003,7004,7005,7006,7007,7008,7009,7010,7011,
7012,7013,7014,7015,7016,7017,7018,7019,7020,7021,7022,7023,7024,7025,7026,7027,
7028,1716,7029,7030,7031,7032,7033,7034,7035,7036,7037,7038,7039,7040,7041,7042,
7043,7044,7045,7046,7047,7048,7049,7050,7051,7052,7053,7054,7055,7056,7057,7058,
7059,7060,7061,7062,7063,7064,7065,7066,7067,7068,7069,7070,7071,7072,7073,7074,
7075,7076,7077,7078,7079,7080,7081,7082,7083,7084,7085,7086,7087,7088,7089,7090,
7091,7092,7093,7094,7095,7096,7097,7098,7099,7100,7101,7102,7103,7104,7105,7106,
7107,7108,7109,7110,7111,7112,7113,7114,7115,7116,7117,7118,7119,7120,7121,7122,
7123,7124,7125,7126,7127,7128,7129,7130,7131,7132,7133,7134,7135,7136,7137,7138,
7139,7140,7141,7142,7143,7144,7145,7146,7147,7148,7149,7150,7151,7152,7153,7154,
7155,7156,7157,7158,7159,7160,7161,7162,7163,7164,7165,7166,7167,7168,7169,7170,
7171,7172,7173,7174,7175,7176,7177,7178,7179,7180,7181,7182,7183,7184,7185,7186,
7187,7188,7189,7190,7191,7192,7193,7194,7195,7196,7197,7198,7199,7200,7201,7202,
7203,7204,7205,7206,7207,1395,7208,7209,7210,7211,7212,7213,1717,7214,7215,7216,
7217,7218,7219,7220,7221,7222,7223,7224,7225,7226,7227,7228,7229,7230,7231,7232,
7233,7234,7235,7236,7237,7238,7239,7240,7241,7242,7243,7244,7245,7246,7247,7248,
7249,7250,7251,7252,7253,7254,7255,7256,7257,7258,7259,7260,7261,7262,7263,7264,
7265,7266,7267,7268,7269,7270,7271,7272,7273,7274,7275,7276,7277,7278,7279,7280,
7281,7282,7283,7284,7285,7286,7287,7288,7289,7290,7291,7292,7293,7294,7295,7296,
7297,7298,7299,7300,7301,7302,7303,7304,7305,7306,7307,7308,7309,7310,7311,7312,
7313,1718,7314,7315,7316,7317,7318,7319,7320,7321,7322,7323,7324,7325,7326,7327,
7328,7329,7330,7331,7332,7333,7334,7335,7336,7337,7338,7339,7340,7341,7342,7343,
7344,7345,7346,7347,7348,7349,7350,7351,7352,7353,7354,7355,7356,7357,7358,7359,
7360,7361,7362,7363,7364,7365,7366,7367,7368,7369,7370,7371,7372,7373,7374,7375,
7376,7377,7378,7379,7380,7381,7382,7383,7384,7385,7386,7387,7388,7389,7390,7391,
7392,7393,7394,7395,7396,7397,7398,7399,7400,7401,7402,7403,7404,7405,7406,7407,
7408,7409,7410,7411,7412,7413,7414,7415,7416,7417,7418,7419,7420,7421,7422,7423,
7424,7425,7426,7427,7428,7429,7430,7431,7432,7433,7434,7435,7436,7437,7438,7439,
7440,7441,7442,7443,7444,7445,7446,7447,7448,7449,7450,7451,7452,7453,7454,7455,
7456,7457,7458,7459,7460,7461,7462,7463,7464,7465,7466,7467,7468,7469,7470,7471,
7472,7473,7474,7475,7476,7477,7478,7479,7480,7481,7482,7483,7484,7485,7486,7487,
7488,7489,7490,7491,7492,7493,7494,7495,7496,7497,7498,7499,7500,7501,7502,7503,
7504,7505,7506,7507,7508,7509,7510,7511,7512,7513,7514,7515,7516,7517,7518,7519,
7520,7521,7522,7523,7524,7525,7526,7527,7528,7529,7530,7531,7532,7533,7534,7535,
7536,7537,7538,7539,7540,7541,7542,7543,7544,7545,7546,7547,7548,7549,7550,7551,
7552,7553,7554,7555,7556,7557,7558,7559,7560,7561,7562,7563,7564,7565,7566,7567,
7568,7569,7570,7571,7572,7573,7574,7575,7576,7577,7578,7579,7580,7581,7582,7583,
7584,7585,7586,7587,7588,7589,7590,7591,7592,7593,7594,7595,7596,7597,7598,7599,
7600,7601,7602,7603,7604,7605,7606,7607,7608,7609,7610,7611,7612,7613,7614,7615,
7616,7617,7618,7619,7620,7621,7622,7623,7624,7625,7626,7627,7628,7629,7630,7631,
7632,7633,7634,7635,7636,7637,7638,7639,7640,7641,7642,7643,7644,7645,7646,7647,
7648,7649,7650,7651,7652,7653,7654,7655,7656,7657,7658,7659,7660,7661,7662,7663,
7664,7665,7666,7667,7668,7669,7670,7671,7672,7673,7674,7675,7676,7677,7678,7679,
7680,7681,7682,7683,7684,7685,7686,7687,7688,7689,7690,7691,7692,7693,7694,7695,
7696,7697,7698,7699,7700,7701,7702,7703,7704,7705,7706,7707,7708,7709,7710,7711,
7712,7713,7714,7715,7716,7717,7718,7719,7720,7721,7722,7723,7724,7725,7726,7727,
7728,7729,7730,7731,7732,7733,7734,7735,7736,7737,7738,7739,7740,7741,7742,7743,
7744,7745,7746,7747,7748,7749,7750,7751,7752,7753,7754,7755,7756,7757,7758,7759,
7760,7761,7762,7763,7764,7765,7766,7767,7768,7769,7770,7771,7772,7773,7774,7775,
7776,7777,7778,7779,7780,7781,7782,7783,7784,7785,7786,7787,7788,7789,7790,7791,
7792,7793,7794,7795,7796,7797,7798,7799,7800,7801,7802,7803,7804,7805,7806,7807,
7808,7809,7810,7811,7812,7813,7814,7815,7816,7817,7818,7819,7820,7821,7822,7823,
7824,7825,7826,7827,7828,7829,7830,7831,7832,7833,7834,7835,7836,7837,7838,7839,
7840,7841,7842,7843,7844,7845,7846,7847,7848,7849,7850,7851,7852,7853,7854,7855,
7856,7857,7858,7859,7860,7861,7862,7863,7864,7865,7866,7867,7868,7869,7870,7871,
7872,7873,7874,7875,7876,7877,7878,7879,7880,7881,7882,7883,7884,7885,7886,7887,
7888,7889,7890,7891,7892,7893,7894,7895,7896,7897,7898,7899,7900,7901,7902,7903,
7904,7905,7906,7907,7908,7909,7910,7911,7912,7913,7914,7915,7916,7917,7918,7919,
7920,7921,7922,7923,7924,7925,7926,7927,7928,7929,7930,7931,7932,7933,7934,7935,
7936,7937,7938,7939,7940,7941,7942,7943,7944,7945,7946,7947,7948,7949,7950,7951,
7952,7953,7954,7955,7956,7957,7958,7959,7960,7961,7962,7963,7964,7965,7966,7967,
7968,7969,7970,7971,7972,7973,7974,7975,7976,7977,7978,7979,7980,7981,7982,7983,
7984,7985,7986,7987,7988,7989,7990,7991,7992,7993,7994,7995,7996,7997,7998,7999,
8000,8001,8002,8003,8004,8005,8006,8007,8008,8009,8010,8011,8012,8013,8014,8015,
8016,8017,8018,8019,8020,8021,8022,8023,8024,8025,8026,8027,8028,8029,8030,8031,
8032,8033,8034,8035,8036,8037,8038,8039,8040,8041,8042,8043,8044,8045,8046,8047,
8048,8049,8050,8051,8052,8053,8054,8055,8056,8057,8058,8059,8060,8061,8062,8063,
8064,8065,8066,8067,8068,8069,8070,8071,8072,8073,8074,8075,8076,8077,8078,8079,
8080,8081,8082,8083,8084,8085,8086,8087,8088,8089,8090,8091,8092,8093,8094,8095,
8096,8097,8098,8099,8100,8101,8102,8103,8104,8105,8106,8107,8108,8109,8110,8111,
8112,8113,8114,8115,8116,8117,8118,8119,8120,8121,8122,8123,8124,8125,8126,8127,
8128,8129,8130,8131,8132,8133,8134,8135,8136,8137,8138,8139,8140,8141,8142,8143,
8144,8145,8146,8147,8148,8149,8150,8151,8152,8153,8154,8155,8156,8157,8158,8159,
8160,8161,8162,8163,8164,8165,8166,8167,8168,8169,8170,8171,8172,8173,8174,8175,
8176,8177,8178,8179,8180,8181,8182,8183,8184,8185,8186,8187,8188,8189,8190,8191,
8192,8193,8194,8195,8196,8197,8198,8199,8200,8201,8202,8203,8204,8205,8206,8207,
8208,8209,8210,8211,8212,8213,8214,8215,8216,8217,8218,8219,8220,8221,8222,8223,
8224,8225,8226,8227,8228,8229,8230,8231,8232,8233,8234,8235,8236,8237,8238,8239,
8240,8241,8242,8243,8244,8245,8246,8247,8248,8249,8250,8251,8252,8253,8254,8255,
8256,8257,8258,8259,8260,8261,8262,8263,8264,8265,8266,8267,8268,8269,8270,8271,
8272,8273,8274,8275,8276,8277,8278,8279,8280,8281,8282,8283,8284,8285,8286,8287,
8288,8289,8290,8291,8292,8293,8294,8295,8296,8297,8298,8299,8300,8301,8302,8303,
8304,8305,8306,8307,8308,8309,8310,8311,8312,8313,8314,8315,8316,8317,8318,8319,
8320,8321,8322,8323,8324,8325,8326,8327,8328,8329,8330,8331,8332,8333,8334,8335,
8336,8337,8338,8339,8340,8341,8342,8343,8344,8345,8346,8347,8348,8349,8350,8351,
8352,8353,8354,8355,8356,8357,8358,8359,8360,8361,8362,8363,8364,8365,8366,8367,
8368,8369,8370,8371,8372,8373,8374,8375,8376,8377,8378,8379,8380,8381,8382,8383,
8384,8385,8386,8387,8388,8389,8390,8391,8392,8393,8394,8395,8396,8397,8398,8399,
8400,8401,8402,8403,8404,8405,8406,8407,8408,8409,8410,8411,8412,8413,8414,8415,
8416,8417,8418,8419,8420,8421,8422,8423,8424,8425,8426,8427,8428,8429,8430,8431,
8432,8433,8434,8435,8436,8437,8438,8439,8440,8441,8442,8443,8444,8445,8446,8447,
8448,8449,8450,8451,8452,8453,8454,8455,8456,8457,8458,8459,8460,8461,8462,8463,
8464,8465,8466,8467,8468,8469,8470,8471,8472,8473,8474,8475,8476,8477,8478,8479,
8480,8481,8482,8483,8484,8485,8486,8487,8488,8489,8490,8491,8492,8493,8494,8495,
8496,8497,8498,8499,8500,8501,8502,8503,8504,8505,8506,8507,8508,8509,8510,8511,
8512,8513,8514,8515,8516,8517,8518,8519,8520,8521,8522,8523,8524,8525,8526,8527,
8528,8529,8530,8531,8532,8533,8534,8535,8536,8537,8538,8539,8540,8541,8542,8543,
8544,8545,8546,8547,8548,8549,8550,8551,8552,8553,8554,8555,8556,8557,8558,8559,
8560,8561,8562,8563,8564,8565,8566,8567,8568,8569,8570,8571,8572,8573,8574,8575,
8576,8577,8578,8579,8580,8581,8582,8583,8584,8585,8586,8587,8588,8589,8590,8591,
8592,8593,8594,8595,8596,8597,8598,8599,8600,8601,8602,8603,8604,8605,8606,8607,
8608,8609,8610,8611,8612,8613,8614,8615,8616,8617,8618,8619,8620,8621,8622,8623,
8624,8625,8626,8627,8628,8629,8630,8631,8632,8633,8634,8635,8636,8637,8638,8639,
8640,8641,8642,8643,8644,8645,8646,8647,8648,8649,8650,8651,8652,8653,8654,8655,
8656,8657,8658,8659,8660,8661,8662,8663,8664,8665,8666,8667,8668,8669,8670,8671,
8672,8673,8674,8675,8676,8677,8678,8679,8680,8681,8682,8683,8684,8685,8686,8687,
8688,8689,8690,8691,8692,8693,8694,8695,8696,8697,8698,8699,8700,8701,8702,8703,
8704,8705,8706,8707,8708,8709,8710,8711,8712,8713,8714,8715,8716,8717,8718,8719,
8720,8721,8722,8723,8724,8725,8726,8727,8728,8729,8730,8731,8732,8733,8734,8735,
8736,8737,8738,8739,8740,8741)
)
# flake8: noqa
+10 -5
View File
@@ -28,15 +28,20 @@
from .mbcharsetprober import MultiByteCharSetProber
from .codingstatemachine import CodingStateMachine
from .chardistribution import EUCKRDistributionAnalysis
from .mbcssm import EUCKRSMModel
from .mbcssm import EUCKR_SM_MODEL
class EUCKRProber(MultiByteCharSetProber):
def __init__(self):
MultiByteCharSetProber.__init__(self)
self._mCodingSM = CodingStateMachine(EUCKRSMModel)
self._mDistributionAnalyzer = EUCKRDistributionAnalysis()
super(EUCKRProber, self).__init__()
self.coding_sm = CodingStateMachine(EUCKR_SM_MODEL)
self.distribution_analyzer = EUCKRDistributionAnalysis()
self.reset()
def get_charset_name(self):
@property
def charset_name(self):
return "EUC-KR"
@property
def language(self):
return "Korean"
+339 -380
View File
@@ -44,385 +44,344 @@
EUCTW_TYPICAL_DISTRIBUTION_RATIO = 0.75
# Char to FreqOrder table ,
EUCTW_TABLE_SIZE = 8102
EUCTW_TABLE_SIZE = 5376
EUCTWCharToFreqOrder = (
1,1800,1506, 255,1431, 198, 9, 82, 6,7310, 177, 202,3615,1256,2808, 110, # 2742
3735, 33,3241, 261, 76, 44,2113, 16,2931,2184,1176, 659,3868, 26,3404,2643, # 2758
1198,3869,3313,4060, 410,2211, 302, 590, 361,1963, 8, 204, 58,4296,7311,1931, # 2774
63,7312,7313, 317,1614, 75, 222, 159,4061,2412,1480,7314,3500,3068, 224,2809, # 2790
3616, 3, 10,3870,1471, 29,2774,1135,2852,1939, 873, 130,3242,1123, 312,7315, # 2806
4297,2051, 507, 252, 682,7316, 142,1914, 124, 206,2932, 34,3501,3173, 64, 604, # 2822
7317,2494,1976,1977, 155,1990, 645, 641,1606,7318,3405, 337, 72, 406,7319, 80, # 2838
630, 238,3174,1509, 263, 939,1092,2644, 756,1440,1094,3406, 449, 69,2969, 591, # 2854
179,2095, 471, 115,2034,1843, 60, 50,2970, 134, 806,1868, 734,2035,3407, 180, # 2870
995,1607, 156, 537,2893, 688,7320, 319,1305, 779,2144, 514,2374, 298,4298, 359, # 2886
2495, 90,2707,1338, 663, 11, 906,1099,2545, 20,2436, 182, 532,1716,7321, 732, # 2902
1376,4062,1311,1420,3175, 25,2312,1056, 113, 399, 382,1949, 242,3408,2467, 529, # 2918
3243, 475,1447,3617,7322, 117, 21, 656, 810,1297,2295,2329,3502,7323, 126,4063, # 2934
706, 456, 150, 613,4299, 71,1118,2036,4064, 145,3069, 85, 835, 486,2114,1246, # 2950
1426, 428, 727,1285,1015, 800, 106, 623, 303,1281,7324,2127,2354, 347,3736, 221, # 2966
3503,3110,7325,1955,1153,4065, 83, 296,1199,3070, 192, 624, 93,7326, 822,1897, # 2982
2810,3111, 795,2064, 991,1554,1542,1592, 27, 43,2853, 859, 139,1456, 860,4300, # 2998
437, 712,3871, 164,2392,3112, 695, 211,3017,2096, 195,3872,1608,3504,3505,3618, # 3014
3873, 234, 811,2971,2097,3874,2229,1441,3506,1615,2375, 668,2076,1638, 305, 228, # 3030
1664,4301, 467, 415,7327, 262,2098,1593, 239, 108, 300, 200,1033, 512,1247,2077, # 3046
7328,7329,2173,3176,3619,2673, 593, 845,1062,3244, 88,1723,2037,3875,1950, 212, # 3062
266, 152, 149, 468,1898,4066,4302, 77, 187,7330,3018, 37, 5,2972,7331,3876, # 3078
7332,7333, 39,2517,4303,2894,3177,2078, 55, 148, 74,4304, 545, 483,1474,1029, # 3094
1665, 217,1869,1531,3113,1104,2645,4067, 24, 172,3507, 900,3877,3508,3509,4305, # 3110
32,1408,2811,1312, 329, 487,2355,2247,2708, 784,2674, 4,3019,3314,1427,1788, # 3126
188, 109, 499,7334,3620,1717,1789, 888,1217,3020,4306,7335,3510,7336,3315,1520, # 3142
3621,3878, 196,1034, 775,7337,7338, 929,1815, 249, 439, 38,7339,1063,7340, 794, # 3158
3879,1435,2296, 46, 178,3245,2065,7341,2376,7342, 214,1709,4307, 804, 35, 707, # 3174
324,3622,1601,2546, 140, 459,4068,7343,7344,1365, 839, 272, 978,2257,2572,3409, # 3190
2128,1363,3623,1423, 697, 100,3071, 48, 70,1231, 495,3114,2193,7345,1294,7346, # 3206
2079, 462, 586,1042,3246, 853, 256, 988, 185,2377,3410,1698, 434,1084,7347,3411, # 3222
314,2615,2775,4308,2330,2331, 569,2280, 637,1816,2518, 757,1162,1878,1616,3412, # 3238
287,1577,2115, 768,4309,1671,2854,3511,2519,1321,3737, 909,2413,7348,4069, 933, # 3254
3738,7349,2052,2356,1222,4310, 765,2414,1322, 786,4311,7350,1919,1462,1677,2895, # 3270
1699,7351,4312,1424,2437,3115,3624,2590,3316,1774,1940,3413,3880,4070, 309,1369, # 3286
1130,2812, 364,2230,1653,1299,3881,3512,3882,3883,2646, 525,1085,3021, 902,2000, # 3302
1475, 964,4313, 421,1844,1415,1057,2281, 940,1364,3116, 376,4314,4315,1381, 7, # 3318
2520, 983,2378, 336,1710,2675,1845, 321,3414, 559,1131,3022,2742,1808,1132,1313, # 3334
265,1481,1857,7352, 352,1203,2813,3247, 167,1089, 420,2814, 776, 792,1724,3513, # 3350
4071,2438,3248,7353,4072,7354, 446, 229, 333,2743, 901,3739,1200,1557,4316,2647, # 3366
1920, 395,2744,2676,3740,4073,1835, 125, 916,3178,2616,4317,7355,7356,3741,7357, # 3382
7358,7359,4318,3117,3625,1133,2547,1757,3415,1510,2313,1409,3514,7360,2145, 438, # 3398
2591,2896,2379,3317,1068, 958,3023, 461, 311,2855,2677,4074,1915,3179,4075,1978, # 3414
383, 750,2745,2617,4076, 274, 539, 385,1278,1442,7361,1154,1964, 384, 561, 210, # 3430
98,1295,2548,3515,7362,1711,2415,1482,3416,3884,2897,1257, 129,7363,3742, 642, # 3446
523,2776,2777,2648,7364, 141,2231,1333, 68, 176, 441, 876, 907,4077, 603,2592, # 3462
710, 171,3417, 404, 549, 18,3118,2393,1410,3626,1666,7365,3516,4319,2898,4320, # 3478
7366,2973, 368,7367, 146, 366, 99, 871,3627,1543, 748, 807,1586,1185, 22,2258, # 3494
379,3743,3180,7368,3181, 505,1941,2618,1991,1382,2314,7369, 380,2357, 218, 702, # 3510
1817,1248,3418,3024,3517,3318,3249,7370,2974,3628, 930,3250,3744,7371, 59,7372, # 3526
585, 601,4078, 497,3419,1112,1314,4321,1801,7373,1223,1472,2174,7374, 749,1836, # 3542
690,1899,3745,1772,3885,1476, 429,1043,1790,2232,2116, 917,4079, 447,1086,1629, # 3558
7375, 556,7376,7377,2020,1654, 844,1090, 105, 550, 966,1758,2815,1008,1782, 686, # 3574
1095,7378,2282, 793,1602,7379,3518,2593,4322,4080,2933,2297,4323,3746, 980,2496, # 3590
544, 353, 527,4324, 908,2678,2899,7380, 381,2619,1942,1348,7381,1341,1252, 560, # 3606
3072,7382,3420,2856,7383,2053, 973, 886,2080, 143,4325,7384,7385, 157,3886, 496, # 3622
4081, 57, 840, 540,2038,4326,4327,3421,2117,1445, 970,2259,1748,1965,2081,4082, # 3638
3119,1234,1775,3251,2816,3629, 773,1206,2129,1066,2039,1326,3887,1738,1725,4083, # 3654
279,3120, 51,1544,2594, 423,1578,2130,2066, 173,4328,1879,7386,7387,1583, 264, # 3670
610,3630,4329,2439, 280, 154,7388,7389,7390,1739, 338,1282,3073, 693,2857,1411, # 3686
1074,3747,2440,7391,4330,7392,7393,1240, 952,2394,7394,2900,1538,2679, 685,1483, # 3702
4084,2468,1436, 953,4085,2054,4331, 671,2395, 79,4086,2441,3252, 608, 567,2680, # 3718
3422,4087,4088,1691, 393,1261,1791,2396,7395,4332,7396,7397,7398,7399,1383,1672, # 3734
3748,3182,1464, 522,1119, 661,1150, 216, 675,4333,3888,1432,3519, 609,4334,2681, # 3750
2397,7400,7401,7402,4089,3025, 0,7403,2469, 315, 231,2442, 301,3319,4335,2380, # 3766
7404, 233,4090,3631,1818,4336,4337,7405, 96,1776,1315,2082,7406, 257,7407,1809, # 3782
3632,2709,1139,1819,4091,2021,1124,2163,2778,1777,2649,7408,3074, 363,1655,3183, # 3798
7409,2975,7410,7411,7412,3889,1567,3890, 718, 103,3184, 849,1443, 341,3320,2934, # 3814
1484,7413,1712, 127, 67, 339,4092,2398, 679,1412, 821,7414,7415, 834, 738, 351, # 3830
2976,2146, 846, 235,1497,1880, 418,1992,3749,2710, 186,1100,2147,2746,3520,1545, # 3846
1355,2935,2858,1377, 583,3891,4093,2573,2977,7416,1298,3633,1078,2549,3634,2358, # 3862
78,3750,3751, 267,1289,2099,2001,1594,4094, 348, 369,1274,2194,2175,1837,4338, # 3878
1820,2817,3635,2747,2283,2002,4339,2936,2748, 144,3321, 882,4340,3892,2749,3423, # 3894
4341,2901,7417,4095,1726, 320,7418,3893,3026, 788,2978,7419,2818,1773,1327,2859, # 3910
3894,2819,7420,1306,4342,2003,1700,3752,3521,2359,2650, 787,2022, 506, 824,3636, # 3926
534, 323,4343,1044,3322,2023,1900, 946,3424,7421,1778,1500,1678,7422,1881,4344, # 3942
165, 243,4345,3637,2521, 123, 683,4096, 764,4346, 36,3895,1792, 589,2902, 816, # 3958
626,1667,3027,2233,1639,1555,1622,3753,3896,7423,3897,2860,1370,1228,1932, 891, # 3974
2083,2903, 304,4097,7424, 292,2979,2711,3522, 691,2100,4098,1115,4347, 118, 662, # 3990
7425, 611,1156, 854,2381,1316,2861, 2, 386, 515,2904,7426,7427,3253, 868,2234, # 4006
1486, 855,2651, 785,2212,3028,7428,1040,3185,3523,7429,3121, 448,7430,1525,7431, # 4022
2164,4348,7432,3754,7433,4099,2820,3524,3122, 503, 818,3898,3123,1568, 814, 676, # 4038
1444, 306,1749,7434,3755,1416,1030, 197,1428, 805,2821,1501,4349,7435,7436,7437, # 4054
1993,7438,4350,7439,7440,2195, 13,2779,3638,2980,3124,1229,1916,7441,3756,2131, # 4070
7442,4100,4351,2399,3525,7443,2213,1511,1727,1120,7444,7445, 646,3757,2443, 307, # 4086
7446,7447,1595,3186,7448,7449,7450,3639,1113,1356,3899,1465,2522,2523,7451, 519, # 4102
7452, 128,2132, 92,2284,1979,7453,3900,1512, 342,3125,2196,7454,2780,2214,1980, # 4118
3323,7455, 290,1656,1317, 789, 827,2360,7456,3758,4352, 562, 581,3901,7457, 401, # 4134
4353,2248, 94,4354,1399,2781,7458,1463,2024,4355,3187,1943,7459, 828,1105,4101, # 4150
1262,1394,7460,4102, 605,4356,7461,1783,2862,7462,2822, 819,2101, 578,2197,2937, # 4166
7463,1502, 436,3254,4103,3255,2823,3902,2905,3425,3426,7464,2712,2315,7465,7466, # 4182
2332,2067, 23,4357, 193, 826,3759,2102, 699,1630,4104,3075, 390,1793,1064,3526, # 4198
7467,1579,3076,3077,1400,7468,4105,1838,1640,2863,7469,4358,4359, 137,4106, 598, # 4214
3078,1966, 780, 104, 974,2938,7470, 278, 899, 253, 402, 572, 504, 493,1339,7471, # 4230
3903,1275,4360,2574,2550,7472,3640,3029,3079,2249, 565,1334,2713, 863, 41,7473, # 4246
7474,4361,7475,1657,2333, 19, 463,2750,4107, 606,7476,2981,3256,1087,2084,1323, # 4262
2652,2982,7477,1631,1623,1750,4108,2682,7478,2864, 791,2714,2653,2334, 232,2416, # 4278
7479,2983,1498,7480,2654,2620, 755,1366,3641,3257,3126,2025,1609, 119,1917,3427, # 4294
862,1026,4109,7481,3904,3760,4362,3905,4363,2260,1951,2470,7482,1125, 817,4110, # 4310
4111,3906,1513,1766,2040,1487,4112,3030,3258,2824,3761,3127,7483,7484,1507,7485, # 4326
2683, 733, 40,1632,1106,2865, 345,4113, 841,2524, 230,4364,2984,1846,3259,3428, # 4342
7486,1263, 986,3429,7487, 735, 879, 254,1137, 857, 622,1300,1180,1388,1562,3907, # 4358
3908,2939, 967,2751,2655,1349, 592,2133,1692,3324,2985,1994,4114,1679,3909,1901, # 4374
2185,7488, 739,3642,2715,1296,1290,7489,4115,2198,2199,1921,1563,2595,2551,1870, # 4390
2752,2986,7490, 435,7491, 343,1108, 596, 17,1751,4365,2235,3430,3643,7492,4366, # 4406
294,3527,2940,1693, 477, 979, 281,2041,3528, 643,2042,3644,2621,2782,2261,1031, # 4422
2335,2134,2298,3529,4367, 367,1249,2552,7493,3530,7494,4368,1283,3325,2004, 240, # 4438
1762,3326,4369,4370, 836,1069,3128, 474,7495,2148,2525, 268,3531,7496,3188,1521, # 4454
1284,7497,1658,1546,4116,7498,3532,3533,7499,4117,3327,2684,1685,4118, 961,1673, # 4470
2622, 190,2005,2200,3762,4371,4372,7500, 570,2497,3645,1490,7501,4373,2623,3260, # 4486
1956,4374, 584,1514, 396,1045,1944,7502,4375,1967,2444,7503,7504,4376,3910, 619, # 4502
7505,3129,3261, 215,2006,2783,2553,3189,4377,3190,4378, 763,4119,3763,4379,7506, # 4518
7507,1957,1767,2941,3328,3646,1174, 452,1477,4380,3329,3130,7508,2825,1253,2382, # 4534
2186,1091,2285,4120, 492,7509, 638,1169,1824,2135,1752,3911, 648, 926,1021,1324, # 4550
4381, 520,4382, 997, 847,1007, 892,4383,3764,2262,1871,3647,7510,2400,1784,4384, # 4566
1952,2942,3080,3191,1728,4121,2043,3648,4385,2007,1701,3131,1551, 30,2263,4122, # 4582
7511,2026,4386,3534,7512, 501,7513,4123, 594,3431,2165,1821,3535,3432,3536,3192, # 4598
829,2826,4124,7514,1680,3132,1225,4125,7515,3262,4387,4126,3133,2336,7516,4388, # 4614
4127,7517,3912,3913,7518,1847,2383,2596,3330,7519,4389, 374,3914, 652,4128,4129, # 4630
375,1140, 798,7520,7521,7522,2361,4390,2264, 546,1659, 138,3031,2445,4391,7523, # 4646
2250, 612,1848, 910, 796,3765,1740,1371, 825,3766,3767,7524,2906,2554,7525, 692, # 4662
444,3032,2624, 801,4392,4130,7526,1491, 244,1053,3033,4131,4132, 340,7527,3915, # 4678
1041,2987, 293,1168, 87,1357,7528,1539, 959,7529,2236, 721, 694,4133,3768, 219, # 4694
1478, 644,1417,3331,2656,1413,1401,1335,1389,3916,7530,7531,2988,2362,3134,1825, # 4710
730,1515, 184,2827, 66,4393,7532,1660,2943, 246,3332, 378,1457, 226,3433, 975, # 4726
3917,2944,1264,3537, 674, 696,7533, 163,7534,1141,2417,2166, 713,3538,3333,4394, # 4742
3918,7535,7536,1186, 15,7537,1079,1070,7538,1522,3193,3539, 276,1050,2716, 758, # 4758
1126, 653,2945,3263,7539,2337, 889,3540,3919,3081,2989, 903,1250,4395,3920,3434, # 4774
3541,1342,1681,1718, 766,3264, 286, 89,2946,3649,7540,1713,7541,2597,3334,2990, # 4790
7542,2947,2215,3194,2866,7543,4396,2498,2526, 181, 387,1075,3921, 731,2187,3335, # 4806
7544,3265, 310, 313,3435,2299, 770,4134, 54,3034, 189,4397,3082,3769,3922,7545, # 4822
1230,1617,1849, 355,3542,4135,4398,3336, 111,4136,3650,1350,3135,3436,3035,4137, # 4838
2149,3266,3543,7546,2784,3923,3924,2991, 722,2008,7547,1071, 247,1207,2338,2471, # 4854
1378,4399,2009, 864,1437,1214,4400, 373,3770,1142,2216, 667,4401, 442,2753,2555, # 4870
3771,3925,1968,4138,3267,1839, 837, 170,1107, 934,1336,1882,7548,7549,2118,4139, # 4886
2828, 743,1569,7550,4402,4140, 582,2384,1418,3437,7551,1802,7552, 357,1395,1729, # 4902
3651,3268,2418,1564,2237,7553,3083,3772,1633,4403,1114,2085,4141,1532,7554, 482, # 4918
2446,4404,7555,7556,1492, 833,1466,7557,2717,3544,1641,2829,7558,1526,1272,3652, # 4934
4142,1686,1794, 416,2556,1902,1953,1803,7559,3773,2785,3774,1159,2316,7560,2867, # 4950
4405,1610,1584,3036,2419,2754, 443,3269,1163,3136,7561,7562,3926,7563,4143,2499, # 4966
3037,4406,3927,3137,2103,1647,3545,2010,1872,4144,7564,4145, 431,3438,7565, 250, # 4982
97, 81,4146,7566,1648,1850,1558, 160, 848,7567, 866, 740,1694,7568,2201,2830, # 4998
3195,4147,4407,3653,1687, 950,2472, 426, 469,3196,3654,3655,3928,7569,7570,1188, # 5014
424,1995, 861,3546,4148,3775,2202,2685, 168,1235,3547,4149,7571,2086,1674,4408, # 5030
3337,3270, 220,2557,1009,7572,3776, 670,2992, 332,1208, 717,7573,7574,3548,2447, # 5046
3929,3338,7575, 513,7576,1209,2868,3339,3138,4409,1080,7577,7578,7579,7580,2527, # 5062
3656,3549, 815,1587,3930,3931,7581,3550,3439,3777,1254,4410,1328,3038,1390,3932, # 5078
1741,3933,3778,3934,7582, 236,3779,2448,3271,7583,7584,3657,3780,1273,3781,4411, # 5094
7585, 308,7586,4412, 245,4413,1851,2473,1307,2575, 430, 715,2136,2449,7587, 270, # 5110
199,2869,3935,7588,3551,2718,1753, 761,1754, 725,1661,1840,4414,3440,3658,7589, # 5126
7590, 587, 14,3272, 227,2598, 326, 480,2265, 943,2755,3552, 291, 650,1883,7591, # 5142
1702,1226, 102,1547, 62,3441, 904,4415,3442,1164,4150,7592,7593,1224,1548,2756, # 5158
391, 498,1493,7594,1386,1419,7595,2055,1177,4416, 813, 880,1081,2363, 566,1145, # 5174
4417,2286,1001,1035,2558,2599,2238, 394,1286,7596,7597,2068,7598, 86,1494,1730, # 5190
3936, 491,1588, 745, 897,2948, 843,3340,3937,2757,2870,3273,1768, 998,2217,2069, # 5206
397,1826,1195,1969,3659,2993,3341, 284,7599,3782,2500,2137,2119,1903,7600,3938, # 5222
2150,3939,4151,1036,3443,1904, 114,2559,4152, 209,1527,7601,7602,2949,2831,2625, # 5238
2385,2719,3139, 812,2560,7603,3274,7604,1559, 737,1884,3660,1210, 885, 28,2686, # 5254
3553,3783,7605,4153,1004,1779,4418,7606, 346,1981,2218,2687,4419,3784,1742, 797, # 5270
1642,3940,1933,1072,1384,2151, 896,3941,3275,3661,3197,2871,3554,7607,2561,1958, # 5286
4420,2450,1785,7608,7609,7610,3942,4154,1005,1308,3662,4155,2720,4421,4422,1528, # 5302
2600, 161,1178,4156,1982, 987,4423,1101,4157, 631,3943,1157,3198,2420,1343,1241, # 5318
1016,2239,2562, 372, 877,2339,2501,1160, 555,1934, 911,3944,7611, 466,1170, 169, # 5334
1051,2907,2688,3663,2474,2994,1182,2011,2563,1251,2626,7612, 992,2340,3444,1540, # 5350
2721,1201,2070,2401,1996,2475,7613,4424, 528,1922,2188,1503,1873,1570,2364,3342, # 5366
3276,7614, 557,1073,7615,1827,3445,2087,2266,3140,3039,3084, 767,3085,2786,4425, # 5382
1006,4158,4426,2341,1267,2176,3664,3199, 778,3945,3200,2722,1597,2657,7616,4427, # 5398
7617,3446,7618,7619,7620,3277,2689,1433,3278, 131, 95,1504,3946, 723,4159,3141, # 5414
1841,3555,2758,2189,3947,2027,2104,3665,7621,2995,3948,1218,7622,3343,3201,3949, # 5430
4160,2576, 248,1634,3785, 912,7623,2832,3666,3040,3786, 654, 53,7624,2996,7625, # 5446
1688,4428, 777,3447,1032,3950,1425,7626, 191, 820,2120,2833, 971,4429, 931,3202, # 5462
135, 664, 783,3787,1997, 772,2908,1935,3951,3788,4430,2909,3203, 282,2723, 640, # 5478
1372,3448,1127, 922, 325,3344,7627,7628, 711,2044,7629,7630,3952,2219,2787,1936, # 5494
3953,3345,2220,2251,3789,2300,7631,4431,3790,1258,3279,3954,3204,2138,2950,3955, # 5510
3956,7632,2221, 258,3205,4432, 101,1227,7633,3280,1755,7634,1391,3281,7635,2910, # 5526
2056, 893,7636,7637,7638,1402,4161,2342,7639,7640,3206,3556,7641,7642, 878,1325, # 5542
1780,2788,4433, 259,1385,2577, 744,1183,2267,4434,7643,3957,2502,7644, 684,1024, # 5558
4162,7645, 472,3557,3449,1165,3282,3958,3959, 322,2152, 881, 455,1695,1152,1340, # 5574
660, 554,2153,4435,1058,4436,4163, 830,1065,3346,3960,4437,1923,7646,1703,1918, # 5590
7647, 932,2268, 122,7648,4438, 947, 677,7649,3791,2627, 297,1905,1924,2269,4439, # 5606
2317,3283,7650,7651,4164,7652,4165, 84,4166, 112, 989,7653, 547,1059,3961, 701, # 5622
3558,1019,7654,4167,7655,3450, 942, 639, 457,2301,2451, 993,2951, 407, 851, 494, # 5638
4440,3347, 927,7656,1237,7657,2421,3348, 573,4168, 680, 921,2911,1279,1874, 285, # 5654
790,1448,1983, 719,2167,7658,7659,4441,3962,3963,1649,7660,1541, 563,7661,1077, # 5670
7662,3349,3041,3451, 511,2997,3964,3965,3667,3966,1268,2564,3350,3207,4442,4443, # 5686
7663, 535,1048,1276,1189,2912,2028,3142,1438,1373,2834,2952,1134,2012,7664,4169, # 5702
1238,2578,3086,1259,7665, 700,7666,2953,3143,3668,4170,7667,4171,1146,1875,1906, # 5718
4444,2601,3967, 781,2422, 132,1589, 203, 147, 273,2789,2402, 898,1786,2154,3968, # 5734
3969,7668,3792,2790,7669,7670,4445,4446,7671,3208,7672,1635,3793, 965,7673,1804, # 5750
2690,1516,3559,1121,1082,1329,3284,3970,1449,3794, 65,1128,2835,2913,2759,1590, # 5766
3795,7674,7675, 12,2658, 45, 976,2579,3144,4447, 517,2528,1013,1037,3209,7676, # 5782
3796,2836,7677,3797,7678,3452,7679,2602, 614,1998,2318,3798,3087,2724,2628,7680, # 5798
2580,4172, 599,1269,7681,1810,3669,7682,2691,3088, 759,1060, 489,1805,3351,3285, # 5814
1358,7683,7684,2386,1387,1215,2629,2252, 490,7685,7686,4173,1759,2387,2343,7687, # 5830
4448,3799,1907,3971,2630,1806,3210,4449,3453,3286,2760,2344, 874,7688,7689,3454, # 5846
3670,1858, 91,2914,3671,3042,3800,4450,7690,3145,3972,2659,7691,3455,1202,1403, # 5862
3801,2954,2529,1517,2503,4451,3456,2504,7692,4452,7693,2692,1885,1495,1731,3973, # 5878
2365,4453,7694,2029,7695,7696,3974,2693,1216, 237,2581,4174,2319,3975,3802,4454, # 5894
4455,2694,3560,3457, 445,4456,7697,7698,7699,7700,2761, 61,3976,3672,1822,3977, # 5910
7701, 687,2045, 935, 925, 405,2660, 703,1096,1859,2725,4457,3978,1876,1367,2695, # 5926
3352, 918,2105,1781,2476, 334,3287,1611,1093,4458, 564,3146,3458,3673,3353, 945, # 5942
2631,2057,4459,7702,1925, 872,4175,7703,3459,2696,3089, 349,4176,3674,3979,4460, # 5958
3803,4177,3675,2155,3980,4461,4462,4178,4463,2403,2046, 782,3981, 400, 251,4179, # 5974
1624,7704,7705, 277,3676, 299,1265, 476,1191,3804,2121,4180,4181,1109, 205,7706, # 5990
2582,1000,2156,3561,1860,7707,7708,7709,4464,7710,4465,2565, 107,2477,2157,3982, # 6006
3460,3147,7711,1533, 541,1301, 158, 753,4182,2872,3562,7712,1696, 370,1088,4183, # 6022
4466,3563, 579, 327, 440, 162,2240, 269,1937,1374,3461, 968,3043, 56,1396,3090, # 6038
2106,3288,3354,7713,1926,2158,4467,2998,7714,3564,7715,7716,3677,4468,2478,7717, # 6054
2791,7718,1650,4469,7719,2603,7720,7721,3983,2661,3355,1149,3356,3984,3805,3985, # 6070
7722,1076, 49,7723, 951,3211,3289,3290, 450,2837, 920,7724,1811,2792,2366,4184, # 6086
1908,1138,2367,3806,3462,7725,3212,4470,1909,1147,1518,2423,4471,3807,7726,4472, # 6102
2388,2604, 260,1795,3213,7727,7728,3808,3291, 708,7729,3565,1704,7730,3566,1351, # 6118
1618,3357,2999,1886, 944,4185,3358,4186,3044,3359,4187,7731,3678, 422, 413,1714, # 6134
3292, 500,2058,2345,4188,2479,7732,1344,1910, 954,7733,1668,7734,7735,3986,2404, # 6150
4189,3567,3809,4190,7736,2302,1318,2505,3091, 133,3092,2873,4473, 629, 31,2838, # 6166
2697,3810,4474, 850, 949,4475,3987,2955,1732,2088,4191,1496,1852,7737,3988, 620, # 6182
3214, 981,1242,3679,3360,1619,3680,1643,3293,2139,2452,1970,1719,3463,2168,7738, # 6198
3215,7739,7740,3361,1828,7741,1277,4476,1565,2047,7742,1636,3568,3093,7743, 869, # 6214
2839, 655,3811,3812,3094,3989,3000,3813,1310,3569,4477,7744,7745,7746,1733, 558, # 6230
4478,3681, 335,1549,3045,1756,4192,3682,1945,3464,1829,1291,1192, 470,2726,2107, # 6246
2793, 913,1054,3990,7747,1027,7748,3046,3991,4479, 982,2662,3362,3148,3465,3216, # 6262
3217,1946,2794,7749, 571,4480,7750,1830,7751,3570,2583,1523,2424,7752,2089, 984, # 6278
4481,3683,1959,7753,3684, 852, 923,2795,3466,3685, 969,1519, 999,2048,2320,1705, # 6294
7754,3095, 615,1662, 151, 597,3992,2405,2321,1049, 275,4482,3686,4193, 568,3687, # 6310
3571,2480,4194,3688,7755,2425,2270, 409,3218,7756,1566,2874,3467,1002, 769,2840, # 6326
194,2090,3149,3689,2222,3294,4195, 628,1505,7757,7758,1763,2177,3001,3993, 521, # 6342
1161,2584,1787,2203,2406,4483,3994,1625,4196,4197, 412, 42,3096, 464,7759,2632, # 6358
4484,3363,1760,1571,2875,3468,2530,1219,2204,3814,2633,2140,2368,4485,4486,3295, # 6374
1651,3364,3572,7760,7761,3573,2481,3469,7762,3690,7763,7764,2271,2091, 460,7765, # 6390
4487,7766,3002, 962, 588,3574, 289,3219,2634,1116, 52,7767,3047,1796,7768,7769, # 6406
7770,1467,7771,1598,1143,3691,4198,1984,1734,1067,4488,1280,3365, 465,4489,1572, # 6422
510,7772,1927,2241,1812,1644,3575,7773,4490,3692,7774,7775,2663,1573,1534,7776, # 6438
7777,4199, 536,1807,1761,3470,3815,3150,2635,7778,7779,7780,4491,3471,2915,1911, # 6454
2796,7781,3296,1122, 377,3220,7782, 360,7783,7784,4200,1529, 551,7785,2059,3693, # 6470
1769,2426,7786,2916,4201,3297,3097,2322,2108,2030,4492,1404, 136,1468,1479, 672, # 6486
1171,3221,2303, 271,3151,7787,2762,7788,2049, 678,2727, 865,1947,4493,7789,2013, # 6502
3995,2956,7790,2728,2223,1397,3048,3694,4494,4495,1735,2917,3366,3576,7791,3816, # 6518
509,2841,2453,2876,3817,7792,7793,3152,3153,4496,4202,2531,4497,2304,1166,1010, # 6534
552, 681,1887,7794,7795,2957,2958,3996,1287,1596,1861,3154, 358, 453, 736, 175, # 6550
478,1117, 905,1167,1097,7796,1853,1530,7797,1706,7798,2178,3472,2287,3695,3473, # 6566
3577,4203,2092,4204,7799,3367,1193,2482,4205,1458,2190,2205,1862,1888,1421,3298, # 6582
2918,3049,2179,3474, 595,2122,7800,3997,7801,7802,4206,1707,2636, 223,3696,1359, # 6598
751,3098, 183,3475,7803,2797,3003, 419,2369, 633, 704,3818,2389, 241,7804,7805, # 6614
7806, 838,3004,3697,2272,2763,2454,3819,1938,2050,3998,1309,3099,2242,1181,7807, # 6630
1136,2206,3820,2370,1446,4207,2305,4498,7808,7809,4208,1055,2605, 484,3698,7810, # 6646
3999, 625,4209,2273,3368,1499,4210,4000,7811,4001,4211,3222,2274,2275,3476,7812, # 6662
7813,2764, 808,2606,3699,3369,4002,4212,3100,2532, 526,3370,3821,4213, 955,7814, # 6678
1620,4214,2637,2427,7815,1429,3700,1669,1831, 994, 928,7816,3578,1260,7817,7818, # 6694
7819,1948,2288, 741,2919,1626,4215,2729,2455, 867,1184, 362,3371,1392,7820,7821, # 6710
4003,4216,1770,1736,3223,2920,4499,4500,1928,2698,1459,1158,7822,3050,3372,2877, # 6726
1292,1929,2506,2842,3701,1985,1187,2071,2014,2607,4217,7823,2566,2507,2169,3702, # 6742
2483,3299,7824,3703,4501,7825,7826, 666,1003,3005,1022,3579,4218,7827,4502,1813, # 6758
2253, 574,3822,1603, 295,1535, 705,3823,4219, 283, 858, 417,7828,7829,3224,4503, # 6774
4504,3051,1220,1889,1046,2276,2456,4004,1393,1599, 689,2567, 388,4220,7830,2484, # 6790
802,7831,2798,3824,2060,1405,2254,7832,4505,3825,2109,1052,1345,3225,1585,7833, # 6806
809,7834,7835,7836, 575,2730,3477, 956,1552,1469,1144,2323,7837,2324,1560,2457, # 6822
3580,3226,4005, 616,2207,3155,2180,2289,7838,1832,7839,3478,4506,7840,1319,3704, # 6838
3705,1211,3581,1023,3227,1293,2799,7841,7842,7843,3826, 607,2306,3827, 762,2878, # 6854
1439,4221,1360,7844,1485,3052,7845,4507,1038,4222,1450,2061,2638,4223,1379,4508, # 6870
2585,7846,7847,4224,1352,1414,2325,2921,1172,7848,7849,3828,3829,7850,1797,1451, # 6886
7851,7852,7853,7854,2922,4006,4007,2485,2346, 411,4008,4009,3582,3300,3101,4509, # 6902
1561,2664,1452,4010,1375,7855,7856, 47,2959, 316,7857,1406,1591,2923,3156,7858, # 6918
1025,2141,3102,3157, 354,2731, 884,2224,4225,2407, 508,3706, 726,3583, 996,2428, # 6934
3584, 729,7859, 392,2191,1453,4011,4510,3707,7860,7861,2458,3585,2608,1675,2800, # 6950
919,2347,2960,2348,1270,4511,4012, 73,7862,7863, 647,7864,3228,2843,2255,1550, # 6966
1346,3006,7865,1332, 883,3479,7866,7867,7868,7869,3301,2765,7870,1212, 831,1347, # 6982
4226,4512,2326,3830,1863,3053, 720,3831,4513,4514,3832,7871,4227,7872,7873,4515, # 6998
7874,7875,1798,4516,3708,2609,4517,3586,1645,2371,7876,7877,2924, 669,2208,2665, # 7014
2429,7878,2879,7879,7880,1028,3229,7881,4228,2408,7882,2256,1353,7883,7884,4518, # 7030
3158, 518,7885,4013,7886,4229,1960,7887,2142,4230,7888,7889,3007,2349,2350,3833, # 7046
516,1833,1454,4014,2699,4231,4519,2225,2610,1971,1129,3587,7890,2766,7891,2961, # 7062
1422, 577,1470,3008,1524,3373,7892,7893, 432,4232,3054,3480,7894,2586,1455,2508, # 7078
2226,1972,1175,7895,1020,2732,4015,3481,4520,7896,2733,7897,1743,1361,3055,3482, # 7094
2639,4016,4233,4521,2290, 895, 924,4234,2170, 331,2243,3056, 166,1627,3057,1098, # 7110
7898,1232,2880,2227,3374,4522, 657, 403,1196,2372, 542,3709,3375,1600,4235,3483, # 7126
7899,4523,2767,3230, 576, 530,1362,7900,4524,2533,2666,3710,4017,7901, 842,3834, # 7142
7902,2801,2031,1014,4018, 213,2700,3376, 665, 621,4236,7903,3711,2925,2430,7904, # 7158
2431,3302,3588,3377,7905,4237,2534,4238,4525,3589,1682,4239,3484,1380,7906, 724, # 7174
2277, 600,1670,7907,1337,1233,4526,3103,2244,7908,1621,4527,7909, 651,4240,7910, # 7190
1612,4241,2611,7911,2844,7912,2734,2307,3058,7913, 716,2459,3059, 174,1255,2701, # 7206
4019,3590, 548,1320,1398, 728,4020,1574,7914,1890,1197,3060,4021,7915,3061,3062, # 7222
3712,3591,3713, 747,7916, 635,4242,4528,7917,7918,7919,4243,7920,7921,4529,7922, # 7238
3378,4530,2432, 451,7923,3714,2535,2072,4244,2735,4245,4022,7924,1764,4531,7925, # 7254
4246, 350,7926,2278,2390,2486,7927,4247,4023,2245,1434,4024, 488,4532, 458,4248, # 7270
4025,3715, 771,1330,2391,3835,2568,3159,2159,2409,1553,2667,3160,4249,7928,2487, # 7286
2881,2612,1720,2702,4250,3379,4533,7929,2536,4251,7930,3231,4252,2768,7931,2015, # 7302
2736,7932,1155,1017,3716,3836,7933,3303,2308, 201,1864,4253,1430,7934,4026,7935, # 7318
7936,7937,7938,7939,4254,1604,7940, 414,1865, 371,2587,4534,4535,3485,2016,3104, # 7334
4536,1708, 960,4255, 887, 389,2171,1536,1663,1721,7941,2228,4027,2351,2926,1580, # 7350
7942,7943,7944,1744,7945,2537,4537,4538,7946,4539,7947,2073,7948,7949,3592,3380, # 7366
2882,4256,7950,4257,2640,3381,2802, 673,2703,2460, 709,3486,4028,3593,4258,7951, # 7382
1148, 502, 634,7952,7953,1204,4540,3594,1575,4541,2613,3717,7954,3718,3105, 948, # 7398
3232, 121,1745,3837,1110,7955,4259,3063,2509,3009,4029,3719,1151,1771,3838,1488, # 7414
4030,1986,7956,2433,3487,7957,7958,2093,7959,4260,3839,1213,1407,2803, 531,2737, # 7430
2538,3233,1011,1537,7960,2769,4261,3106,1061,7961,3720,3721,1866,2883,7962,2017, # 7446
120,4262,4263,2062,3595,3234,2309,3840,2668,3382,1954,4542,7963,7964,3488,1047, # 7462
2704,1266,7965,1368,4543,2845, 649,3383,3841,2539,2738,1102,2846,2669,7966,7967, # 7478
1999,7968,1111,3596,2962,7969,2488,3842,3597,2804,1854,3384,3722,7970,7971,3385, # 7494
2410,2884,3304,3235,3598,7972,2569,7973,3599,2805,4031,1460, 856,7974,3600,7975, # 7510
2885,2963,7976,2886,3843,7977,4264, 632,2510, 875,3844,1697,3845,2291,7978,7979, # 7526
4544,3010,1239, 580,4545,4265,7980, 914, 936,2074,1190,4032,1039,2123,7981,7982, # 7542
7983,3386,1473,7984,1354,4266,3846,7985,2172,3064,4033, 915,3305,4267,4268,3306, # 7558
1605,1834,7986,2739, 398,3601,4269,3847,4034, 328,1912,2847,4035,3848,1331,4270, # 7574
3011, 937,4271,7987,3602,4036,4037,3387,2160,4546,3388, 524, 742, 538,3065,1012, # 7590
7988,7989,3849,2461,7990, 658,1103, 225,3850,7991,7992,4547,7993,4548,7994,3236, # 7606
1243,7995,4038, 963,2246,4549,7996,2705,3603,3161,7997,7998,2588,2327,7999,4550, # 7622
8000,8001,8002,3489,3307, 957,3389,2540,2032,1930,2927,2462, 870,2018,3604,1746, # 7638
2770,2771,2434,2463,8003,3851,8004,3723,3107,3724,3490,3390,3725,8005,1179,3066, # 7654
8006,3162,2373,4272,3726,2541,3163,3108,2740,4039,8007,3391,1556,2542,2292, 977, # 7670
2887,2033,4040,1205,3392,8008,1765,3393,3164,2124,1271,1689, 714,4551,3491,8009, # 7686
2328,3852, 533,4273,3605,2181, 617,8010,2464,3308,3492,2310,8011,8012,3165,8013, # 7702
8014,3853,1987, 618, 427,2641,3493,3394,8015,8016,1244,1690,8017,2806,4274,4552, # 7718
8018,3494,8019,8020,2279,1576, 473,3606,4275,3395, 972,8021,3607,8022,3067,8023, # 7734
8024,4553,4554,8025,3727,4041,4042,8026, 153,4555, 356,8027,1891,2888,4276,2143, # 7750
408, 803,2352,8028,3854,8029,4277,1646,2570,2511,4556,4557,3855,8030,3856,4278, # 7766
8031,2411,3396, 752,8032,8033,1961,2964,8034, 746,3012,2465,8035,4279,3728, 698, # 7782
4558,1892,4280,3608,2543,4559,3609,3857,8036,3166,3397,8037,1823,1302,4043,2706, # 7798
3858,1973,4281,8038,4282,3167, 823,1303,1288,1236,2848,3495,4044,3398, 774,3859, # 7814
8039,1581,4560,1304,2849,3860,4561,8040,2435,2161,1083,3237,4283,4045,4284, 344, # 7830
1173, 288,2311, 454,1683,8041,8042,1461,4562,4046,2589,8043,8044,4563, 985, 894, # 7846
8045,3399,3168,8046,1913,2928,3729,1988,8047,2110,1974,8048,4047,8049,2571,1194, # 7862
425,8050,4564,3169,1245,3730,4285,8051,8052,2850,8053, 636,4565,1855,3861, 760, # 7878
1799,8054,4286,2209,1508,4566,4048,1893,1684,2293,8055,8056,8057,4287,4288,2210, # 7894
479,8058,8059, 832,8060,4049,2489,8061,2965,2490,3731, 990,3109, 627,1814,2642, # 7910
4289,1582,4290,2125,2111,3496,4567,8062, 799,4291,3170,8063,4568,2112,1737,3013, # 7926
1018, 543, 754,4292,3309,1676,4569,4570,4050,8064,1489,8065,3497,8066,2614,2889, # 7942
4051,8067,8068,2966,8069,8070,8071,8072,3171,4571,4572,2182,1722,8073,3238,3239, # 7958
1842,3610,1715, 481, 365,1975,1856,8074,8075,1962,2491,4573,8076,2126,3611,3240, # 7974
433,1894,2063,2075,8077, 602,2741,8078,8079,8080,8081,8082,3014,1628,3400,8083, # 7990
3172,4574,4052,2890,4575,2512,8084,2544,2772,8085,8086,8087,3310,4576,2891,8088, # 8006
4577,8089,2851,4578,4579,1221,2967,4053,2513,8090,8091,8092,1867,1989,8093,8094, # 8022
8095,1895,8096,8097,4580,1896,4054, 318,8098,2094,4055,4293,8099,8100, 485,8101, # 8038
938,3862, 553,2670, 116,8102,3863,3612,8103,3498,2671,2773,3401,3311,2807,8104, # 8054
3613,2929,4056,1747,2930,2968,8105,8106, 207,8107,8108,2672,4581,2514,8109,3015, # 8070
890,3614,3864,8110,1877,3732,3402,8111,2183,2353,3403,1652,8112,8113,8114, 941, # 8086
2294, 208,3499,4057,2019, 330,4294,3865,2892,2492,3733,4295,8115,8116,8117,8118, # 8102
#Everything below is of no interest for detection purpose
2515,1613,4582,8119,3312,3866,2516,8120,4058,8121,1637,4059,2466,4583,3867,8122, # 8118
2493,3016,3734,8123,8124,2192,8125,8126,2162,8127,8128,8129,8130,8131,8132,8133, # 8134
8134,8135,8136,8137,8138,8139,8140,8141,8142,8143,8144,8145,8146,8147,8148,8149, # 8150
8150,8151,8152,8153,8154,8155,8156,8157,8158,8159,8160,8161,8162,8163,8164,8165, # 8166
8166,8167,8168,8169,8170,8171,8172,8173,8174,8175,8176,8177,8178,8179,8180,8181, # 8182
8182,8183,8184,8185,8186,8187,8188,8189,8190,8191,8192,8193,8194,8195,8196,8197, # 8198
8198,8199,8200,8201,8202,8203,8204,8205,8206,8207,8208,8209,8210,8211,8212,8213, # 8214
8214,8215,8216,8217,8218,8219,8220,8221,8222,8223,8224,8225,8226,8227,8228,8229, # 8230
8230,8231,8232,8233,8234,8235,8236,8237,8238,8239,8240,8241,8242,8243,8244,8245, # 8246
8246,8247,8248,8249,8250,8251,8252,8253,8254,8255,8256,8257,8258,8259,8260,8261, # 8262
8262,8263,8264,8265,8266,8267,8268,8269,8270,8271,8272,8273,8274,8275,8276,8277, # 8278
8278,8279,8280,8281,8282,8283,8284,8285,8286,8287,8288,8289,8290,8291,8292,8293, # 8294
8294,8295,8296,8297,8298,8299,8300,8301,8302,8303,8304,8305,8306,8307,8308,8309, # 8310
8310,8311,8312,8313,8314,8315,8316,8317,8318,8319,8320,8321,8322,8323,8324,8325, # 8326
8326,8327,8328,8329,8330,8331,8332,8333,8334,8335,8336,8337,8338,8339,8340,8341, # 8342
8342,8343,8344,8345,8346,8347,8348,8349,8350,8351,8352,8353,8354,8355,8356,8357, # 8358
8358,8359,8360,8361,8362,8363,8364,8365,8366,8367,8368,8369,8370,8371,8372,8373, # 8374
8374,8375,8376,8377,8378,8379,8380,8381,8382,8383,8384,8385,8386,8387,8388,8389, # 8390
8390,8391,8392,8393,8394,8395,8396,8397,8398,8399,8400,8401,8402,8403,8404,8405, # 8406
8406,8407,8408,8409,8410,8411,8412,8413,8414,8415,8416,8417,8418,8419,8420,8421, # 8422
8422,8423,8424,8425,8426,8427,8428,8429,8430,8431,8432,8433,8434,8435,8436,8437, # 8438
8438,8439,8440,8441,8442,8443,8444,8445,8446,8447,8448,8449,8450,8451,8452,8453, # 8454
8454,8455,8456,8457,8458,8459,8460,8461,8462,8463,8464,8465,8466,8467,8468,8469, # 8470
8470,8471,8472,8473,8474,8475,8476,8477,8478,8479,8480,8481,8482,8483,8484,8485, # 8486
8486,8487,8488,8489,8490,8491,8492,8493,8494,8495,8496,8497,8498,8499,8500,8501, # 8502
8502,8503,8504,8505,8506,8507,8508,8509,8510,8511,8512,8513,8514,8515,8516,8517, # 8518
8518,8519,8520,8521,8522,8523,8524,8525,8526,8527,8528,8529,8530,8531,8532,8533, # 8534
8534,8535,8536,8537,8538,8539,8540,8541,8542,8543,8544,8545,8546,8547,8548,8549, # 8550
8550,8551,8552,8553,8554,8555,8556,8557,8558,8559,8560,8561,8562,8563,8564,8565, # 8566
8566,8567,8568,8569,8570,8571,8572,8573,8574,8575,8576,8577,8578,8579,8580,8581, # 8582
8582,8583,8584,8585,8586,8587,8588,8589,8590,8591,8592,8593,8594,8595,8596,8597, # 8598
8598,8599,8600,8601,8602,8603,8604,8605,8606,8607,8608,8609,8610,8611,8612,8613, # 8614
8614,8615,8616,8617,8618,8619,8620,8621,8622,8623,8624,8625,8626,8627,8628,8629, # 8630
8630,8631,8632,8633,8634,8635,8636,8637,8638,8639,8640,8641,8642,8643,8644,8645, # 8646
8646,8647,8648,8649,8650,8651,8652,8653,8654,8655,8656,8657,8658,8659,8660,8661, # 8662
8662,8663,8664,8665,8666,8667,8668,8669,8670,8671,8672,8673,8674,8675,8676,8677, # 8678
8678,8679,8680,8681,8682,8683,8684,8685,8686,8687,8688,8689,8690,8691,8692,8693, # 8694
8694,8695,8696,8697,8698,8699,8700,8701,8702,8703,8704,8705,8706,8707,8708,8709, # 8710
8710,8711,8712,8713,8714,8715,8716,8717,8718,8719,8720,8721,8722,8723,8724,8725, # 8726
8726,8727,8728,8729,8730,8731,8732,8733,8734,8735,8736,8737,8738,8739,8740,8741) # 8742
EUCTW_CHAR_TO_FREQ_ORDER = (
1,1800,1506, 255,1431, 198, 9, 82, 6,7310, 177, 202,3615,1256,2808, 110, # 2742
3735, 33,3241, 261, 76, 44,2113, 16,2931,2184,1176, 659,3868, 26,3404,2643, # 2758
1198,3869,3313,4060, 410,2211, 302, 590, 361,1963, 8, 204, 58,4296,7311,1931, # 2774
63,7312,7313, 317,1614, 75, 222, 159,4061,2412,1480,7314,3500,3068, 224,2809, # 2790
3616, 3, 10,3870,1471, 29,2774,1135,2852,1939, 873, 130,3242,1123, 312,7315, # 2806
4297,2051, 507, 252, 682,7316, 142,1914, 124, 206,2932, 34,3501,3173, 64, 604, # 2822
7317,2494,1976,1977, 155,1990, 645, 641,1606,7318,3405, 337, 72, 406,7319, 80, # 2838
630, 238,3174,1509, 263, 939,1092,2644, 756,1440,1094,3406, 449, 69,2969, 591, # 2854
179,2095, 471, 115,2034,1843, 60, 50,2970, 134, 806,1868, 734,2035,3407, 180, # 2870
995,1607, 156, 537,2893, 688,7320, 319,1305, 779,2144, 514,2374, 298,4298, 359, # 2886
2495, 90,2707,1338, 663, 11, 906,1099,2545, 20,2436, 182, 532,1716,7321, 732, # 2902
1376,4062,1311,1420,3175, 25,2312,1056, 113, 399, 382,1949, 242,3408,2467, 529, # 2918
3243, 475,1447,3617,7322, 117, 21, 656, 810,1297,2295,2329,3502,7323, 126,4063, # 2934
706, 456, 150, 613,4299, 71,1118,2036,4064, 145,3069, 85, 835, 486,2114,1246, # 2950
1426, 428, 727,1285,1015, 800, 106, 623, 303,1281,7324,2127,2354, 347,3736, 221, # 2966
3503,3110,7325,1955,1153,4065, 83, 296,1199,3070, 192, 624, 93,7326, 822,1897, # 2982
2810,3111, 795,2064, 991,1554,1542,1592, 27, 43,2853, 859, 139,1456, 860,4300, # 2998
437, 712,3871, 164,2392,3112, 695, 211,3017,2096, 195,3872,1608,3504,3505,3618, # 3014
3873, 234, 811,2971,2097,3874,2229,1441,3506,1615,2375, 668,2076,1638, 305, 228, # 3030
1664,4301, 467, 415,7327, 262,2098,1593, 239, 108, 300, 200,1033, 512,1247,2077, # 3046
7328,7329,2173,3176,3619,2673, 593, 845,1062,3244, 88,1723,2037,3875,1950, 212, # 3062
266, 152, 149, 468,1898,4066,4302, 77, 187,7330,3018, 37, 5,2972,7331,3876, # 3078
7332,7333, 39,2517,4303,2894,3177,2078, 55, 148, 74,4304, 545, 483,1474,1029, # 3094
1665, 217,1869,1531,3113,1104,2645,4067, 24, 172,3507, 900,3877,3508,3509,4305, # 3110
32,1408,2811,1312, 329, 487,2355,2247,2708, 784,2674, 4,3019,3314,1427,1788, # 3126
188, 109, 499,7334,3620,1717,1789, 888,1217,3020,4306,7335,3510,7336,3315,1520, # 3142
3621,3878, 196,1034, 775,7337,7338, 929,1815, 249, 439, 38,7339,1063,7340, 794, # 3158
3879,1435,2296, 46, 178,3245,2065,7341,2376,7342, 214,1709,4307, 804, 35, 707, # 3174
324,3622,1601,2546, 140, 459,4068,7343,7344,1365, 839, 272, 978,2257,2572,3409, # 3190
2128,1363,3623,1423, 697, 100,3071, 48, 70,1231, 495,3114,2193,7345,1294,7346, # 3206
2079, 462, 586,1042,3246, 853, 256, 988, 185,2377,3410,1698, 434,1084,7347,3411, # 3222
314,2615,2775,4308,2330,2331, 569,2280, 637,1816,2518, 757,1162,1878,1616,3412, # 3238
287,1577,2115, 768,4309,1671,2854,3511,2519,1321,3737, 909,2413,7348,4069, 933, # 3254
3738,7349,2052,2356,1222,4310, 765,2414,1322, 786,4311,7350,1919,1462,1677,2895, # 3270
1699,7351,4312,1424,2437,3115,3624,2590,3316,1774,1940,3413,3880,4070, 309,1369, # 3286
1130,2812, 364,2230,1653,1299,3881,3512,3882,3883,2646, 525,1085,3021, 902,2000, # 3302
1475, 964,4313, 421,1844,1415,1057,2281, 940,1364,3116, 376,4314,4315,1381, 7, # 3318
2520, 983,2378, 336,1710,2675,1845, 321,3414, 559,1131,3022,2742,1808,1132,1313, # 3334
265,1481,1857,7352, 352,1203,2813,3247, 167,1089, 420,2814, 776, 792,1724,3513, # 3350
4071,2438,3248,7353,4072,7354, 446, 229, 333,2743, 901,3739,1200,1557,4316,2647, # 3366
1920, 395,2744,2676,3740,4073,1835, 125, 916,3178,2616,4317,7355,7356,3741,7357, # 3382
7358,7359,4318,3117,3625,1133,2547,1757,3415,1510,2313,1409,3514,7360,2145, 438, # 3398
2591,2896,2379,3317,1068, 958,3023, 461, 311,2855,2677,4074,1915,3179,4075,1978, # 3414
383, 750,2745,2617,4076, 274, 539, 385,1278,1442,7361,1154,1964, 384, 561, 210, # 3430
98,1295,2548,3515,7362,1711,2415,1482,3416,3884,2897,1257, 129,7363,3742, 642, # 3446
523,2776,2777,2648,7364, 141,2231,1333, 68, 176, 441, 876, 907,4077, 603,2592, # 3462
710, 171,3417, 404, 549, 18,3118,2393,1410,3626,1666,7365,3516,4319,2898,4320, # 3478
7366,2973, 368,7367, 146, 366, 99, 871,3627,1543, 748, 807,1586,1185, 22,2258, # 3494
379,3743,3180,7368,3181, 505,1941,2618,1991,1382,2314,7369, 380,2357, 218, 702, # 3510
1817,1248,3418,3024,3517,3318,3249,7370,2974,3628, 930,3250,3744,7371, 59,7372, # 3526
585, 601,4078, 497,3419,1112,1314,4321,1801,7373,1223,1472,2174,7374, 749,1836, # 3542
690,1899,3745,1772,3885,1476, 429,1043,1790,2232,2116, 917,4079, 447,1086,1629, # 3558
7375, 556,7376,7377,2020,1654, 844,1090, 105, 550, 966,1758,2815,1008,1782, 686, # 3574
1095,7378,2282, 793,1602,7379,3518,2593,4322,4080,2933,2297,4323,3746, 980,2496, # 3590
544, 353, 527,4324, 908,2678,2899,7380, 381,2619,1942,1348,7381,1341,1252, 560, # 3606
3072,7382,3420,2856,7383,2053, 973, 886,2080, 143,4325,7384,7385, 157,3886, 496, # 3622
4081, 57, 840, 540,2038,4326,4327,3421,2117,1445, 970,2259,1748,1965,2081,4082, # 3638
3119,1234,1775,3251,2816,3629, 773,1206,2129,1066,2039,1326,3887,1738,1725,4083, # 3654
279,3120, 51,1544,2594, 423,1578,2130,2066, 173,4328,1879,7386,7387,1583, 264, # 3670
610,3630,4329,2439, 280, 154,7388,7389,7390,1739, 338,1282,3073, 693,2857,1411, # 3686
1074,3747,2440,7391,4330,7392,7393,1240, 952,2394,7394,2900,1538,2679, 685,1483, # 3702
4084,2468,1436, 953,4085,2054,4331, 671,2395, 79,4086,2441,3252, 608, 567,2680, # 3718
3422,4087,4088,1691, 393,1261,1791,2396,7395,4332,7396,7397,7398,7399,1383,1672, # 3734
3748,3182,1464, 522,1119, 661,1150, 216, 675,4333,3888,1432,3519, 609,4334,2681, # 3750
2397,7400,7401,7402,4089,3025, 0,7403,2469, 315, 231,2442, 301,3319,4335,2380, # 3766
7404, 233,4090,3631,1818,4336,4337,7405, 96,1776,1315,2082,7406, 257,7407,1809, # 3782
3632,2709,1139,1819,4091,2021,1124,2163,2778,1777,2649,7408,3074, 363,1655,3183, # 3798
7409,2975,7410,7411,7412,3889,1567,3890, 718, 103,3184, 849,1443, 341,3320,2934, # 3814
1484,7413,1712, 127, 67, 339,4092,2398, 679,1412, 821,7414,7415, 834, 738, 351, # 3830
2976,2146, 846, 235,1497,1880, 418,1992,3749,2710, 186,1100,2147,2746,3520,1545, # 3846
1355,2935,2858,1377, 583,3891,4093,2573,2977,7416,1298,3633,1078,2549,3634,2358, # 3862
78,3750,3751, 267,1289,2099,2001,1594,4094, 348, 369,1274,2194,2175,1837,4338, # 3878
1820,2817,3635,2747,2283,2002,4339,2936,2748, 144,3321, 882,4340,3892,2749,3423, # 3894
4341,2901,7417,4095,1726, 320,7418,3893,3026, 788,2978,7419,2818,1773,1327,2859, # 3910
3894,2819,7420,1306,4342,2003,1700,3752,3521,2359,2650, 787,2022, 506, 824,3636, # 3926
534, 323,4343,1044,3322,2023,1900, 946,3424,7421,1778,1500,1678,7422,1881,4344, # 3942
165, 243,4345,3637,2521, 123, 683,4096, 764,4346, 36,3895,1792, 589,2902, 816, # 3958
626,1667,3027,2233,1639,1555,1622,3753,3896,7423,3897,2860,1370,1228,1932, 891, # 3974
2083,2903, 304,4097,7424, 292,2979,2711,3522, 691,2100,4098,1115,4347, 118, 662, # 3990
7425, 611,1156, 854,2381,1316,2861, 2, 386, 515,2904,7426,7427,3253, 868,2234, # 4006
1486, 855,2651, 785,2212,3028,7428,1040,3185,3523,7429,3121, 448,7430,1525,7431, # 4022
2164,4348,7432,3754,7433,4099,2820,3524,3122, 503, 818,3898,3123,1568, 814, 676, # 4038
1444, 306,1749,7434,3755,1416,1030, 197,1428, 805,2821,1501,4349,7435,7436,7437, # 4054
1993,7438,4350,7439,7440,2195, 13,2779,3638,2980,3124,1229,1916,7441,3756,2131, # 4070
7442,4100,4351,2399,3525,7443,2213,1511,1727,1120,7444,7445, 646,3757,2443, 307, # 4086
7446,7447,1595,3186,7448,7449,7450,3639,1113,1356,3899,1465,2522,2523,7451, 519, # 4102
7452, 128,2132, 92,2284,1979,7453,3900,1512, 342,3125,2196,7454,2780,2214,1980, # 4118
3323,7455, 290,1656,1317, 789, 827,2360,7456,3758,4352, 562, 581,3901,7457, 401, # 4134
4353,2248, 94,4354,1399,2781,7458,1463,2024,4355,3187,1943,7459, 828,1105,4101, # 4150
1262,1394,7460,4102, 605,4356,7461,1783,2862,7462,2822, 819,2101, 578,2197,2937, # 4166
7463,1502, 436,3254,4103,3255,2823,3902,2905,3425,3426,7464,2712,2315,7465,7466, # 4182
2332,2067, 23,4357, 193, 826,3759,2102, 699,1630,4104,3075, 390,1793,1064,3526, # 4198
7467,1579,3076,3077,1400,7468,4105,1838,1640,2863,7469,4358,4359, 137,4106, 598, # 4214
3078,1966, 780, 104, 974,2938,7470, 278, 899, 253, 402, 572, 504, 493,1339,7471, # 4230
3903,1275,4360,2574,2550,7472,3640,3029,3079,2249, 565,1334,2713, 863, 41,7473, # 4246
7474,4361,7475,1657,2333, 19, 463,2750,4107, 606,7476,2981,3256,1087,2084,1323, # 4262
2652,2982,7477,1631,1623,1750,4108,2682,7478,2864, 791,2714,2653,2334, 232,2416, # 4278
7479,2983,1498,7480,2654,2620, 755,1366,3641,3257,3126,2025,1609, 119,1917,3427, # 4294
862,1026,4109,7481,3904,3760,4362,3905,4363,2260,1951,2470,7482,1125, 817,4110, # 4310
4111,3906,1513,1766,2040,1487,4112,3030,3258,2824,3761,3127,7483,7484,1507,7485, # 4326
2683, 733, 40,1632,1106,2865, 345,4113, 841,2524, 230,4364,2984,1846,3259,3428, # 4342
7486,1263, 986,3429,7487, 735, 879, 254,1137, 857, 622,1300,1180,1388,1562,3907, # 4358
3908,2939, 967,2751,2655,1349, 592,2133,1692,3324,2985,1994,4114,1679,3909,1901, # 4374
2185,7488, 739,3642,2715,1296,1290,7489,4115,2198,2199,1921,1563,2595,2551,1870, # 4390
2752,2986,7490, 435,7491, 343,1108, 596, 17,1751,4365,2235,3430,3643,7492,4366, # 4406
294,3527,2940,1693, 477, 979, 281,2041,3528, 643,2042,3644,2621,2782,2261,1031, # 4422
2335,2134,2298,3529,4367, 367,1249,2552,7493,3530,7494,4368,1283,3325,2004, 240, # 4438
1762,3326,4369,4370, 836,1069,3128, 474,7495,2148,2525, 268,3531,7496,3188,1521, # 4454
1284,7497,1658,1546,4116,7498,3532,3533,7499,4117,3327,2684,1685,4118, 961,1673, # 4470
2622, 190,2005,2200,3762,4371,4372,7500, 570,2497,3645,1490,7501,4373,2623,3260, # 4486
1956,4374, 584,1514, 396,1045,1944,7502,4375,1967,2444,7503,7504,4376,3910, 619, # 4502
7505,3129,3261, 215,2006,2783,2553,3189,4377,3190,4378, 763,4119,3763,4379,7506, # 4518
7507,1957,1767,2941,3328,3646,1174, 452,1477,4380,3329,3130,7508,2825,1253,2382, # 4534
2186,1091,2285,4120, 492,7509, 638,1169,1824,2135,1752,3911, 648, 926,1021,1324, # 4550
4381, 520,4382, 997, 847,1007, 892,4383,3764,2262,1871,3647,7510,2400,1784,4384, # 4566
1952,2942,3080,3191,1728,4121,2043,3648,4385,2007,1701,3131,1551, 30,2263,4122, # 4582
7511,2026,4386,3534,7512, 501,7513,4123, 594,3431,2165,1821,3535,3432,3536,3192, # 4598
829,2826,4124,7514,1680,3132,1225,4125,7515,3262,4387,4126,3133,2336,7516,4388, # 4614
4127,7517,3912,3913,7518,1847,2383,2596,3330,7519,4389, 374,3914, 652,4128,4129, # 4630
375,1140, 798,7520,7521,7522,2361,4390,2264, 546,1659, 138,3031,2445,4391,7523, # 4646
2250, 612,1848, 910, 796,3765,1740,1371, 825,3766,3767,7524,2906,2554,7525, 692, # 4662
444,3032,2624, 801,4392,4130,7526,1491, 244,1053,3033,4131,4132, 340,7527,3915, # 4678
1041,2987, 293,1168, 87,1357,7528,1539, 959,7529,2236, 721, 694,4133,3768, 219, # 4694
1478, 644,1417,3331,2656,1413,1401,1335,1389,3916,7530,7531,2988,2362,3134,1825, # 4710
730,1515, 184,2827, 66,4393,7532,1660,2943, 246,3332, 378,1457, 226,3433, 975, # 4726
3917,2944,1264,3537, 674, 696,7533, 163,7534,1141,2417,2166, 713,3538,3333,4394, # 4742
3918,7535,7536,1186, 15,7537,1079,1070,7538,1522,3193,3539, 276,1050,2716, 758, # 4758
1126, 653,2945,3263,7539,2337, 889,3540,3919,3081,2989, 903,1250,4395,3920,3434, # 4774
3541,1342,1681,1718, 766,3264, 286, 89,2946,3649,7540,1713,7541,2597,3334,2990, # 4790
7542,2947,2215,3194,2866,7543,4396,2498,2526, 181, 387,1075,3921, 731,2187,3335, # 4806
7544,3265, 310, 313,3435,2299, 770,4134, 54,3034, 189,4397,3082,3769,3922,7545, # 4822
1230,1617,1849, 355,3542,4135,4398,3336, 111,4136,3650,1350,3135,3436,3035,4137, # 4838
2149,3266,3543,7546,2784,3923,3924,2991, 722,2008,7547,1071, 247,1207,2338,2471, # 4854
1378,4399,2009, 864,1437,1214,4400, 373,3770,1142,2216, 667,4401, 442,2753,2555, # 4870
3771,3925,1968,4138,3267,1839, 837, 170,1107, 934,1336,1882,7548,7549,2118,4139, # 4886
2828, 743,1569,7550,4402,4140, 582,2384,1418,3437,7551,1802,7552, 357,1395,1729, # 4902
3651,3268,2418,1564,2237,7553,3083,3772,1633,4403,1114,2085,4141,1532,7554, 482, # 4918
2446,4404,7555,7556,1492, 833,1466,7557,2717,3544,1641,2829,7558,1526,1272,3652, # 4934
4142,1686,1794, 416,2556,1902,1953,1803,7559,3773,2785,3774,1159,2316,7560,2867, # 4950
4405,1610,1584,3036,2419,2754, 443,3269,1163,3136,7561,7562,3926,7563,4143,2499, # 4966
3037,4406,3927,3137,2103,1647,3545,2010,1872,4144,7564,4145, 431,3438,7565, 250, # 4982
97, 81,4146,7566,1648,1850,1558, 160, 848,7567, 866, 740,1694,7568,2201,2830, # 4998
3195,4147,4407,3653,1687, 950,2472, 426, 469,3196,3654,3655,3928,7569,7570,1188, # 5014
424,1995, 861,3546,4148,3775,2202,2685, 168,1235,3547,4149,7571,2086,1674,4408, # 5030
3337,3270, 220,2557,1009,7572,3776, 670,2992, 332,1208, 717,7573,7574,3548,2447, # 5046
3929,3338,7575, 513,7576,1209,2868,3339,3138,4409,1080,7577,7578,7579,7580,2527, # 5062
3656,3549, 815,1587,3930,3931,7581,3550,3439,3777,1254,4410,1328,3038,1390,3932, # 5078
1741,3933,3778,3934,7582, 236,3779,2448,3271,7583,7584,3657,3780,1273,3781,4411, # 5094
7585, 308,7586,4412, 245,4413,1851,2473,1307,2575, 430, 715,2136,2449,7587, 270, # 5110
199,2869,3935,7588,3551,2718,1753, 761,1754, 725,1661,1840,4414,3440,3658,7589, # 5126
7590, 587, 14,3272, 227,2598, 326, 480,2265, 943,2755,3552, 291, 650,1883,7591, # 5142
1702,1226, 102,1547, 62,3441, 904,4415,3442,1164,4150,7592,7593,1224,1548,2756, # 5158
391, 498,1493,7594,1386,1419,7595,2055,1177,4416, 813, 880,1081,2363, 566,1145, # 5174
4417,2286,1001,1035,2558,2599,2238, 394,1286,7596,7597,2068,7598, 86,1494,1730, # 5190
3936, 491,1588, 745, 897,2948, 843,3340,3937,2757,2870,3273,1768, 998,2217,2069, # 5206
397,1826,1195,1969,3659,2993,3341, 284,7599,3782,2500,2137,2119,1903,7600,3938, # 5222
2150,3939,4151,1036,3443,1904, 114,2559,4152, 209,1527,7601,7602,2949,2831,2625, # 5238
2385,2719,3139, 812,2560,7603,3274,7604,1559, 737,1884,3660,1210, 885, 28,2686, # 5254
3553,3783,7605,4153,1004,1779,4418,7606, 346,1981,2218,2687,4419,3784,1742, 797, # 5270
1642,3940,1933,1072,1384,2151, 896,3941,3275,3661,3197,2871,3554,7607,2561,1958, # 5286
4420,2450,1785,7608,7609,7610,3942,4154,1005,1308,3662,4155,2720,4421,4422,1528, # 5302
2600, 161,1178,4156,1982, 987,4423,1101,4157, 631,3943,1157,3198,2420,1343,1241, # 5318
1016,2239,2562, 372, 877,2339,2501,1160, 555,1934, 911,3944,7611, 466,1170, 169, # 5334
1051,2907,2688,3663,2474,2994,1182,2011,2563,1251,2626,7612, 992,2340,3444,1540, # 5350
2721,1201,2070,2401,1996,2475,7613,4424, 528,1922,2188,1503,1873,1570,2364,3342, # 5366
3276,7614, 557,1073,7615,1827,3445,2087,2266,3140,3039,3084, 767,3085,2786,4425, # 5382
1006,4158,4426,2341,1267,2176,3664,3199, 778,3945,3200,2722,1597,2657,7616,4427, # 5398
7617,3446,7618,7619,7620,3277,2689,1433,3278, 131, 95,1504,3946, 723,4159,3141, # 5414
1841,3555,2758,2189,3947,2027,2104,3665,7621,2995,3948,1218,7622,3343,3201,3949, # 5430
4160,2576, 248,1634,3785, 912,7623,2832,3666,3040,3786, 654, 53,7624,2996,7625, # 5446
1688,4428, 777,3447,1032,3950,1425,7626, 191, 820,2120,2833, 971,4429, 931,3202, # 5462
135, 664, 783,3787,1997, 772,2908,1935,3951,3788,4430,2909,3203, 282,2723, 640, # 5478
1372,3448,1127, 922, 325,3344,7627,7628, 711,2044,7629,7630,3952,2219,2787,1936, # 5494
3953,3345,2220,2251,3789,2300,7631,4431,3790,1258,3279,3954,3204,2138,2950,3955, # 5510
3956,7632,2221, 258,3205,4432, 101,1227,7633,3280,1755,7634,1391,3281,7635,2910, # 5526
2056, 893,7636,7637,7638,1402,4161,2342,7639,7640,3206,3556,7641,7642, 878,1325, # 5542
1780,2788,4433, 259,1385,2577, 744,1183,2267,4434,7643,3957,2502,7644, 684,1024, # 5558
4162,7645, 472,3557,3449,1165,3282,3958,3959, 322,2152, 881, 455,1695,1152,1340, # 5574
660, 554,2153,4435,1058,4436,4163, 830,1065,3346,3960,4437,1923,7646,1703,1918, # 5590
7647, 932,2268, 122,7648,4438, 947, 677,7649,3791,2627, 297,1905,1924,2269,4439, # 5606
2317,3283,7650,7651,4164,7652,4165, 84,4166, 112, 989,7653, 547,1059,3961, 701, # 5622
3558,1019,7654,4167,7655,3450, 942, 639, 457,2301,2451, 993,2951, 407, 851, 494, # 5638
4440,3347, 927,7656,1237,7657,2421,3348, 573,4168, 680, 921,2911,1279,1874, 285, # 5654
790,1448,1983, 719,2167,7658,7659,4441,3962,3963,1649,7660,1541, 563,7661,1077, # 5670
7662,3349,3041,3451, 511,2997,3964,3965,3667,3966,1268,2564,3350,3207,4442,4443, # 5686
7663, 535,1048,1276,1189,2912,2028,3142,1438,1373,2834,2952,1134,2012,7664,4169, # 5702
1238,2578,3086,1259,7665, 700,7666,2953,3143,3668,4170,7667,4171,1146,1875,1906, # 5718
4444,2601,3967, 781,2422, 132,1589, 203, 147, 273,2789,2402, 898,1786,2154,3968, # 5734
3969,7668,3792,2790,7669,7670,4445,4446,7671,3208,7672,1635,3793, 965,7673,1804, # 5750
2690,1516,3559,1121,1082,1329,3284,3970,1449,3794, 65,1128,2835,2913,2759,1590, # 5766
3795,7674,7675, 12,2658, 45, 976,2579,3144,4447, 517,2528,1013,1037,3209,7676, # 5782
3796,2836,7677,3797,7678,3452,7679,2602, 614,1998,2318,3798,3087,2724,2628,7680, # 5798
2580,4172, 599,1269,7681,1810,3669,7682,2691,3088, 759,1060, 489,1805,3351,3285, # 5814
1358,7683,7684,2386,1387,1215,2629,2252, 490,7685,7686,4173,1759,2387,2343,7687, # 5830
4448,3799,1907,3971,2630,1806,3210,4449,3453,3286,2760,2344, 874,7688,7689,3454, # 5846
3670,1858, 91,2914,3671,3042,3800,4450,7690,3145,3972,2659,7691,3455,1202,1403, # 5862
3801,2954,2529,1517,2503,4451,3456,2504,7692,4452,7693,2692,1885,1495,1731,3973, # 5878
2365,4453,7694,2029,7695,7696,3974,2693,1216, 237,2581,4174,2319,3975,3802,4454, # 5894
4455,2694,3560,3457, 445,4456,7697,7698,7699,7700,2761, 61,3976,3672,1822,3977, # 5910
7701, 687,2045, 935, 925, 405,2660, 703,1096,1859,2725,4457,3978,1876,1367,2695, # 5926
3352, 918,2105,1781,2476, 334,3287,1611,1093,4458, 564,3146,3458,3673,3353, 945, # 5942
2631,2057,4459,7702,1925, 872,4175,7703,3459,2696,3089, 349,4176,3674,3979,4460, # 5958
3803,4177,3675,2155,3980,4461,4462,4178,4463,2403,2046, 782,3981, 400, 251,4179, # 5974
1624,7704,7705, 277,3676, 299,1265, 476,1191,3804,2121,4180,4181,1109, 205,7706, # 5990
2582,1000,2156,3561,1860,7707,7708,7709,4464,7710,4465,2565, 107,2477,2157,3982, # 6006
3460,3147,7711,1533, 541,1301, 158, 753,4182,2872,3562,7712,1696, 370,1088,4183, # 6022
4466,3563, 579, 327, 440, 162,2240, 269,1937,1374,3461, 968,3043, 56,1396,3090, # 6038
2106,3288,3354,7713,1926,2158,4467,2998,7714,3564,7715,7716,3677,4468,2478,7717, # 6054
2791,7718,1650,4469,7719,2603,7720,7721,3983,2661,3355,1149,3356,3984,3805,3985, # 6070
7722,1076, 49,7723, 951,3211,3289,3290, 450,2837, 920,7724,1811,2792,2366,4184, # 6086
1908,1138,2367,3806,3462,7725,3212,4470,1909,1147,1518,2423,4471,3807,7726,4472, # 6102
2388,2604, 260,1795,3213,7727,7728,3808,3291, 708,7729,3565,1704,7730,3566,1351, # 6118
1618,3357,2999,1886, 944,4185,3358,4186,3044,3359,4187,7731,3678, 422, 413,1714, # 6134
3292, 500,2058,2345,4188,2479,7732,1344,1910, 954,7733,1668,7734,7735,3986,2404, # 6150
4189,3567,3809,4190,7736,2302,1318,2505,3091, 133,3092,2873,4473, 629, 31,2838, # 6166
2697,3810,4474, 850, 949,4475,3987,2955,1732,2088,4191,1496,1852,7737,3988, 620, # 6182
3214, 981,1242,3679,3360,1619,3680,1643,3293,2139,2452,1970,1719,3463,2168,7738, # 6198
3215,7739,7740,3361,1828,7741,1277,4476,1565,2047,7742,1636,3568,3093,7743, 869, # 6214
2839, 655,3811,3812,3094,3989,3000,3813,1310,3569,4477,7744,7745,7746,1733, 558, # 6230
4478,3681, 335,1549,3045,1756,4192,3682,1945,3464,1829,1291,1192, 470,2726,2107, # 6246
2793, 913,1054,3990,7747,1027,7748,3046,3991,4479, 982,2662,3362,3148,3465,3216, # 6262
3217,1946,2794,7749, 571,4480,7750,1830,7751,3570,2583,1523,2424,7752,2089, 984, # 6278
4481,3683,1959,7753,3684, 852, 923,2795,3466,3685, 969,1519, 999,2048,2320,1705, # 6294
7754,3095, 615,1662, 151, 597,3992,2405,2321,1049, 275,4482,3686,4193, 568,3687, # 6310
3571,2480,4194,3688,7755,2425,2270, 409,3218,7756,1566,2874,3467,1002, 769,2840, # 6326
194,2090,3149,3689,2222,3294,4195, 628,1505,7757,7758,1763,2177,3001,3993, 521, # 6342
1161,2584,1787,2203,2406,4483,3994,1625,4196,4197, 412, 42,3096, 464,7759,2632, # 6358
4484,3363,1760,1571,2875,3468,2530,1219,2204,3814,2633,2140,2368,4485,4486,3295, # 6374
1651,3364,3572,7760,7761,3573,2481,3469,7762,3690,7763,7764,2271,2091, 460,7765, # 6390
4487,7766,3002, 962, 588,3574, 289,3219,2634,1116, 52,7767,3047,1796,7768,7769, # 6406
7770,1467,7771,1598,1143,3691,4198,1984,1734,1067,4488,1280,3365, 465,4489,1572, # 6422
510,7772,1927,2241,1812,1644,3575,7773,4490,3692,7774,7775,2663,1573,1534,7776, # 6438
7777,4199, 536,1807,1761,3470,3815,3150,2635,7778,7779,7780,4491,3471,2915,1911, # 6454
2796,7781,3296,1122, 377,3220,7782, 360,7783,7784,4200,1529, 551,7785,2059,3693, # 6470
1769,2426,7786,2916,4201,3297,3097,2322,2108,2030,4492,1404, 136,1468,1479, 672, # 6486
1171,3221,2303, 271,3151,7787,2762,7788,2049, 678,2727, 865,1947,4493,7789,2013, # 6502
3995,2956,7790,2728,2223,1397,3048,3694,4494,4495,1735,2917,3366,3576,7791,3816, # 6518
509,2841,2453,2876,3817,7792,7793,3152,3153,4496,4202,2531,4497,2304,1166,1010, # 6534
552, 681,1887,7794,7795,2957,2958,3996,1287,1596,1861,3154, 358, 453, 736, 175, # 6550
478,1117, 905,1167,1097,7796,1853,1530,7797,1706,7798,2178,3472,2287,3695,3473, # 6566
3577,4203,2092,4204,7799,3367,1193,2482,4205,1458,2190,2205,1862,1888,1421,3298, # 6582
2918,3049,2179,3474, 595,2122,7800,3997,7801,7802,4206,1707,2636, 223,3696,1359, # 6598
751,3098, 183,3475,7803,2797,3003, 419,2369, 633, 704,3818,2389, 241,7804,7805, # 6614
7806, 838,3004,3697,2272,2763,2454,3819,1938,2050,3998,1309,3099,2242,1181,7807, # 6630
1136,2206,3820,2370,1446,4207,2305,4498,7808,7809,4208,1055,2605, 484,3698,7810, # 6646
3999, 625,4209,2273,3368,1499,4210,4000,7811,4001,4211,3222,2274,2275,3476,7812, # 6662
7813,2764, 808,2606,3699,3369,4002,4212,3100,2532, 526,3370,3821,4213, 955,7814, # 6678
1620,4214,2637,2427,7815,1429,3700,1669,1831, 994, 928,7816,3578,1260,7817,7818, # 6694
7819,1948,2288, 741,2919,1626,4215,2729,2455, 867,1184, 362,3371,1392,7820,7821, # 6710
4003,4216,1770,1736,3223,2920,4499,4500,1928,2698,1459,1158,7822,3050,3372,2877, # 6726
1292,1929,2506,2842,3701,1985,1187,2071,2014,2607,4217,7823,2566,2507,2169,3702, # 6742
2483,3299,7824,3703,4501,7825,7826, 666,1003,3005,1022,3579,4218,7827,4502,1813, # 6758
2253, 574,3822,1603, 295,1535, 705,3823,4219, 283, 858, 417,7828,7829,3224,4503, # 6774
4504,3051,1220,1889,1046,2276,2456,4004,1393,1599, 689,2567, 388,4220,7830,2484, # 6790
802,7831,2798,3824,2060,1405,2254,7832,4505,3825,2109,1052,1345,3225,1585,7833, # 6806
809,7834,7835,7836, 575,2730,3477, 956,1552,1469,1144,2323,7837,2324,1560,2457, # 6822
3580,3226,4005, 616,2207,3155,2180,2289,7838,1832,7839,3478,4506,7840,1319,3704, # 6838
3705,1211,3581,1023,3227,1293,2799,7841,7842,7843,3826, 607,2306,3827, 762,2878, # 6854
1439,4221,1360,7844,1485,3052,7845,4507,1038,4222,1450,2061,2638,4223,1379,4508, # 6870
2585,7846,7847,4224,1352,1414,2325,2921,1172,7848,7849,3828,3829,7850,1797,1451, # 6886
7851,7852,7853,7854,2922,4006,4007,2485,2346, 411,4008,4009,3582,3300,3101,4509, # 6902
1561,2664,1452,4010,1375,7855,7856, 47,2959, 316,7857,1406,1591,2923,3156,7858, # 6918
1025,2141,3102,3157, 354,2731, 884,2224,4225,2407, 508,3706, 726,3583, 996,2428, # 6934
3584, 729,7859, 392,2191,1453,4011,4510,3707,7860,7861,2458,3585,2608,1675,2800, # 6950
919,2347,2960,2348,1270,4511,4012, 73,7862,7863, 647,7864,3228,2843,2255,1550, # 6966
1346,3006,7865,1332, 883,3479,7866,7867,7868,7869,3301,2765,7870,1212, 831,1347, # 6982
4226,4512,2326,3830,1863,3053, 720,3831,4513,4514,3832,7871,4227,7872,7873,4515, # 6998
7874,7875,1798,4516,3708,2609,4517,3586,1645,2371,7876,7877,2924, 669,2208,2665, # 7014
2429,7878,2879,7879,7880,1028,3229,7881,4228,2408,7882,2256,1353,7883,7884,4518, # 7030
3158, 518,7885,4013,7886,4229,1960,7887,2142,4230,7888,7889,3007,2349,2350,3833, # 7046
516,1833,1454,4014,2699,4231,4519,2225,2610,1971,1129,3587,7890,2766,7891,2961, # 7062
1422, 577,1470,3008,1524,3373,7892,7893, 432,4232,3054,3480,7894,2586,1455,2508, # 7078
2226,1972,1175,7895,1020,2732,4015,3481,4520,7896,2733,7897,1743,1361,3055,3482, # 7094
2639,4016,4233,4521,2290, 895, 924,4234,2170, 331,2243,3056, 166,1627,3057,1098, # 7110
7898,1232,2880,2227,3374,4522, 657, 403,1196,2372, 542,3709,3375,1600,4235,3483, # 7126
7899,4523,2767,3230, 576, 530,1362,7900,4524,2533,2666,3710,4017,7901, 842,3834, # 7142
7902,2801,2031,1014,4018, 213,2700,3376, 665, 621,4236,7903,3711,2925,2430,7904, # 7158
2431,3302,3588,3377,7905,4237,2534,4238,4525,3589,1682,4239,3484,1380,7906, 724, # 7174
2277, 600,1670,7907,1337,1233,4526,3103,2244,7908,1621,4527,7909, 651,4240,7910, # 7190
1612,4241,2611,7911,2844,7912,2734,2307,3058,7913, 716,2459,3059, 174,1255,2701, # 7206
4019,3590, 548,1320,1398, 728,4020,1574,7914,1890,1197,3060,4021,7915,3061,3062, # 7222
3712,3591,3713, 747,7916, 635,4242,4528,7917,7918,7919,4243,7920,7921,4529,7922, # 7238
3378,4530,2432, 451,7923,3714,2535,2072,4244,2735,4245,4022,7924,1764,4531,7925, # 7254
4246, 350,7926,2278,2390,2486,7927,4247,4023,2245,1434,4024, 488,4532, 458,4248, # 7270
4025,3715, 771,1330,2391,3835,2568,3159,2159,2409,1553,2667,3160,4249,7928,2487, # 7286
2881,2612,1720,2702,4250,3379,4533,7929,2536,4251,7930,3231,4252,2768,7931,2015, # 7302
2736,7932,1155,1017,3716,3836,7933,3303,2308, 201,1864,4253,1430,7934,4026,7935, # 7318
7936,7937,7938,7939,4254,1604,7940, 414,1865, 371,2587,4534,4535,3485,2016,3104, # 7334
4536,1708, 960,4255, 887, 389,2171,1536,1663,1721,7941,2228,4027,2351,2926,1580, # 7350
7942,7943,7944,1744,7945,2537,4537,4538,7946,4539,7947,2073,7948,7949,3592,3380, # 7366
2882,4256,7950,4257,2640,3381,2802, 673,2703,2460, 709,3486,4028,3593,4258,7951, # 7382
1148, 502, 634,7952,7953,1204,4540,3594,1575,4541,2613,3717,7954,3718,3105, 948, # 7398
3232, 121,1745,3837,1110,7955,4259,3063,2509,3009,4029,3719,1151,1771,3838,1488, # 7414
4030,1986,7956,2433,3487,7957,7958,2093,7959,4260,3839,1213,1407,2803, 531,2737, # 7430
2538,3233,1011,1537,7960,2769,4261,3106,1061,7961,3720,3721,1866,2883,7962,2017, # 7446
120,4262,4263,2062,3595,3234,2309,3840,2668,3382,1954,4542,7963,7964,3488,1047, # 7462
2704,1266,7965,1368,4543,2845, 649,3383,3841,2539,2738,1102,2846,2669,7966,7967, # 7478
1999,7968,1111,3596,2962,7969,2488,3842,3597,2804,1854,3384,3722,7970,7971,3385, # 7494
2410,2884,3304,3235,3598,7972,2569,7973,3599,2805,4031,1460, 856,7974,3600,7975, # 7510
2885,2963,7976,2886,3843,7977,4264, 632,2510, 875,3844,1697,3845,2291,7978,7979, # 7526
4544,3010,1239, 580,4545,4265,7980, 914, 936,2074,1190,4032,1039,2123,7981,7982, # 7542
7983,3386,1473,7984,1354,4266,3846,7985,2172,3064,4033, 915,3305,4267,4268,3306, # 7558
1605,1834,7986,2739, 398,3601,4269,3847,4034, 328,1912,2847,4035,3848,1331,4270, # 7574
3011, 937,4271,7987,3602,4036,4037,3387,2160,4546,3388, 524, 742, 538,3065,1012, # 7590
7988,7989,3849,2461,7990, 658,1103, 225,3850,7991,7992,4547,7993,4548,7994,3236, # 7606
1243,7995,4038, 963,2246,4549,7996,2705,3603,3161,7997,7998,2588,2327,7999,4550, # 7622
8000,8001,8002,3489,3307, 957,3389,2540,2032,1930,2927,2462, 870,2018,3604,1746, # 7638
2770,2771,2434,2463,8003,3851,8004,3723,3107,3724,3490,3390,3725,8005,1179,3066, # 7654
8006,3162,2373,4272,3726,2541,3163,3108,2740,4039,8007,3391,1556,2542,2292, 977, # 7670
2887,2033,4040,1205,3392,8008,1765,3393,3164,2124,1271,1689, 714,4551,3491,8009, # 7686
2328,3852, 533,4273,3605,2181, 617,8010,2464,3308,3492,2310,8011,8012,3165,8013, # 7702
8014,3853,1987, 618, 427,2641,3493,3394,8015,8016,1244,1690,8017,2806,4274,4552, # 7718
8018,3494,8019,8020,2279,1576, 473,3606,4275,3395, 972,8021,3607,8022,3067,8023, # 7734
8024,4553,4554,8025,3727,4041,4042,8026, 153,4555, 356,8027,1891,2888,4276,2143, # 7750
408, 803,2352,8028,3854,8029,4277,1646,2570,2511,4556,4557,3855,8030,3856,4278, # 7766
8031,2411,3396, 752,8032,8033,1961,2964,8034, 746,3012,2465,8035,4279,3728, 698, # 7782
4558,1892,4280,3608,2543,4559,3609,3857,8036,3166,3397,8037,1823,1302,4043,2706, # 7798
3858,1973,4281,8038,4282,3167, 823,1303,1288,1236,2848,3495,4044,3398, 774,3859, # 7814
8039,1581,4560,1304,2849,3860,4561,8040,2435,2161,1083,3237,4283,4045,4284, 344, # 7830
1173, 288,2311, 454,1683,8041,8042,1461,4562,4046,2589,8043,8044,4563, 985, 894, # 7846
8045,3399,3168,8046,1913,2928,3729,1988,8047,2110,1974,8048,4047,8049,2571,1194, # 7862
425,8050,4564,3169,1245,3730,4285,8051,8052,2850,8053, 636,4565,1855,3861, 760, # 7878
1799,8054,4286,2209,1508,4566,4048,1893,1684,2293,8055,8056,8057,4287,4288,2210, # 7894
479,8058,8059, 832,8060,4049,2489,8061,2965,2490,3731, 990,3109, 627,1814,2642, # 7910
4289,1582,4290,2125,2111,3496,4567,8062, 799,4291,3170,8063,4568,2112,1737,3013, # 7926
1018, 543, 754,4292,3309,1676,4569,4570,4050,8064,1489,8065,3497,8066,2614,2889, # 7942
4051,8067,8068,2966,8069,8070,8071,8072,3171,4571,4572,2182,1722,8073,3238,3239, # 7958
1842,3610,1715, 481, 365,1975,1856,8074,8075,1962,2491,4573,8076,2126,3611,3240, # 7974
433,1894,2063,2075,8077, 602,2741,8078,8079,8080,8081,8082,3014,1628,3400,8083, # 7990
3172,4574,4052,2890,4575,2512,8084,2544,2772,8085,8086,8087,3310,4576,2891,8088, # 8006
4577,8089,2851,4578,4579,1221,2967,4053,2513,8090,8091,8092,1867,1989,8093,8094, # 8022
8095,1895,8096,8097,4580,1896,4054, 318,8098,2094,4055,4293,8099,8100, 485,8101, # 8038
938,3862, 553,2670, 116,8102,3863,3612,8103,3498,2671,2773,3401,3311,2807,8104, # 8054
3613,2929,4056,1747,2930,2968,8105,8106, 207,8107,8108,2672,4581,2514,8109,3015, # 8070
890,3614,3864,8110,1877,3732,3402,8111,2183,2353,3403,1652,8112,8113,8114, 941, # 8086
2294, 208,3499,4057,2019, 330,4294,3865,2892,2492,3733,4295,8115,8116,8117,8118, # 8102
)
# flake8: noqa
+12 -7
View File
@@ -13,12 +13,12 @@
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
@@ -28,14 +28,19 @@
from .mbcharsetprober import MultiByteCharSetProber
from .codingstatemachine import CodingStateMachine
from .chardistribution import EUCTWDistributionAnalysis
from .mbcssm import EUCTWSMModel
from .mbcssm import EUCTW_SM_MODEL
class EUCTWProber(MultiByteCharSetProber):
def __init__(self):
MultiByteCharSetProber.__init__(self)
self._mCodingSM = CodingStateMachine(EUCTWSMModel)
self._mDistributionAnalyzer = EUCTWDistributionAnalysis()
super(EUCTWProber, self).__init__()
self.coding_sm = CodingStateMachine(EUCTW_SM_MODEL)
self.distribution_analyzer = EUCTWDistributionAnalysis()
self.reset()
def get_charset_name(self):
@property
def charset_name(self):
return "EUC-TW"
@property
def language(self):
return "Taiwan"
+3 -192
View File
@@ -43,7 +43,7 @@ GB2312_TYPICAL_DISTRIBUTION_RATIO = 0.9
GB2312_TABLE_SIZE = 3760
GB2312CharToFreqOrder = (
GB2312_CHAR_TO_FREQ_ORDER = (
1671, 749,1443,2364,3924,3807,2330,3921,1704,3463,2691,1511,1515, 572,3191,2205,
2361, 224,2558, 479,1711, 963,3162, 440,4060,1905,2966,2947,3580,2647,3961,3842,
2204, 869,4207, 970,2678,5626,2944,2956,1479,4048, 514,3595, 588,1346,2820,3409,
@@ -278,195 +278,6 @@ GB2312CharToFreqOrder = (
1718,1717,2655,3453,3143,4465, 161,2889,2980,2009,1421, 56,1908,1640,2387,2232,
1917,1874,2477,4921, 148, 83,3438, 592,4245,2882,1822,1055, 741, 115,1496,1624,
381,1638,4592,1020, 516,3214, 458, 947,4575,1432, 211,1514,2926,1865,2142, 189,
852,1221,1400,1486, 882,2299,4036, 351, 28,1122, 700,6479,6480,6481,6482,6483, # last 512
#Everything below is of no interest for detection purpose
5508,6484,3900,3414,3974,4441,4024,3537,4037,5628,5099,3633,6485,3148,6486,3636,
5509,3257,5510,5973,5445,5872,4941,4403,3174,4627,5873,6276,2286,4230,5446,5874,
5122,6102,6103,4162,5447,5123,5323,4849,6277,3980,3851,5066,4246,5774,5067,6278,
3001,2807,5695,3346,5775,5974,5158,5448,6487,5975,5976,5776,3598,6279,5696,4806,
4211,4154,6280,6488,6489,6490,6281,4212,5037,3374,4171,6491,4562,4807,4722,4827,
5977,6104,4532,4079,5159,5324,5160,4404,3858,5359,5875,3975,4288,4610,3486,4512,
5325,3893,5360,6282,6283,5560,2522,4231,5978,5186,5449,2569,3878,6284,5401,3578,
4415,6285,4656,5124,5979,2506,4247,4449,3219,3417,4334,4969,4329,6492,4576,4828,
4172,4416,4829,5402,6286,3927,3852,5361,4369,4830,4477,4867,5876,4173,6493,6105,
4657,6287,6106,5877,5450,6494,4155,4868,5451,3700,5629,4384,6288,6289,5878,3189,
4881,6107,6290,6495,4513,6496,4692,4515,4723,5100,3356,6497,6291,3810,4080,5561,
3570,4430,5980,6498,4355,5697,6499,4724,6108,6109,3764,4050,5038,5879,4093,3226,
6292,5068,5217,4693,3342,5630,3504,4831,4377,4466,4309,5698,4431,5777,6293,5778,
4272,3706,6110,5326,3752,4676,5327,4273,5403,4767,5631,6500,5699,5880,3475,5039,
6294,5562,5125,4348,4301,4482,4068,5126,4593,5700,3380,3462,5981,5563,3824,5404,
4970,5511,3825,4738,6295,6501,5452,4516,6111,5881,5564,6502,6296,5982,6503,4213,
4163,3454,6504,6112,4009,4450,6113,4658,6297,6114,3035,6505,6115,3995,4904,4739,
4563,4942,4110,5040,3661,3928,5362,3674,6506,5292,3612,4791,5565,4149,5983,5328,
5259,5021,4725,4577,4564,4517,4364,6298,5405,4578,5260,4594,4156,4157,5453,3592,
3491,6507,5127,5512,4709,4922,5984,5701,4726,4289,6508,4015,6116,5128,4628,3424,
4241,5779,6299,4905,6509,6510,5454,5702,5780,6300,4365,4923,3971,6511,5161,3270,
3158,5985,4100, 867,5129,5703,6117,5363,3695,3301,5513,4467,6118,6512,5455,4232,
4242,4629,6513,3959,4478,6514,5514,5329,5986,4850,5162,5566,3846,4694,6119,5456,
4869,5781,3779,6301,5704,5987,5515,4710,6302,5882,6120,4392,5364,5705,6515,6121,
6516,6517,3736,5988,5457,5989,4695,2457,5883,4551,5782,6303,6304,6305,5130,4971,
6122,5163,6123,4870,3263,5365,3150,4871,6518,6306,5783,5069,5706,3513,3498,4409,
5330,5632,5366,5458,5459,3991,5990,4502,3324,5991,5784,3696,4518,5633,4119,6519,
4630,5634,4417,5707,4832,5992,3418,6124,5993,5567,4768,5218,6520,4595,3458,5367,
6125,5635,6126,4202,6521,4740,4924,6307,3981,4069,4385,6308,3883,2675,4051,3834,
4302,4483,5568,5994,4972,4101,5368,6309,5164,5884,3922,6127,6522,6523,5261,5460,
5187,4164,5219,3538,5516,4111,3524,5995,6310,6311,5369,3181,3386,2484,5188,3464,
5569,3627,5708,6524,5406,5165,4677,4492,6312,4872,4851,5885,4468,5996,6313,5709,
5710,6128,2470,5886,6314,5293,4882,5785,3325,5461,5101,6129,5711,5786,6525,4906,
6526,6527,4418,5887,5712,4808,2907,3701,5713,5888,6528,3765,5636,5331,6529,6530,
3593,5889,3637,4943,3692,5714,5787,4925,6315,6130,5462,4405,6131,6132,6316,5262,
6531,6532,5715,3859,5716,5070,4696,5102,3929,5788,3987,4792,5997,6533,6534,3920,
4809,5000,5998,6535,2974,5370,6317,5189,5263,5717,3826,6536,3953,5001,4883,3190,
5463,5890,4973,5999,4741,6133,6134,3607,5570,6000,4711,3362,3630,4552,5041,6318,
6001,2950,2953,5637,4646,5371,4944,6002,2044,4120,3429,6319,6537,5103,4833,6538,
6539,4884,4647,3884,6003,6004,4758,3835,5220,5789,4565,5407,6540,6135,5294,4697,
4852,6320,6321,3206,4907,6541,6322,4945,6542,6136,6543,6323,6005,4631,3519,6544,
5891,6545,5464,3784,5221,6546,5571,4659,6547,6324,6137,5190,6548,3853,6549,4016,
4834,3954,6138,5332,3827,4017,3210,3546,4469,5408,5718,3505,4648,5790,5131,5638,
5791,5465,4727,4318,6325,6326,5792,4553,4010,4698,3439,4974,3638,4335,3085,6006,
5104,5042,5166,5892,5572,6327,4356,4519,5222,5573,5333,5793,5043,6550,5639,5071,
4503,6328,6139,6551,6140,3914,3901,5372,6007,5640,4728,4793,3976,3836,4885,6552,
4127,6553,4451,4102,5002,6554,3686,5105,6555,5191,5072,5295,4611,5794,5296,6556,
5893,5264,5894,4975,5466,5265,4699,4976,4370,4056,3492,5044,4886,6557,5795,4432,
4769,4357,5467,3940,4660,4290,6141,4484,4770,4661,3992,6329,4025,4662,5022,4632,
4835,4070,5297,4663,4596,5574,5132,5409,5895,6142,4504,5192,4664,5796,5896,3885,
5575,5797,5023,4810,5798,3732,5223,4712,5298,4084,5334,5468,6143,4052,4053,4336,
4977,4794,6558,5335,4908,5576,5224,4233,5024,4128,5469,5225,4873,6008,5045,4729,
4742,4633,3675,4597,6559,5897,5133,5577,5003,5641,5719,6330,6560,3017,2382,3854,
4406,4811,6331,4393,3964,4946,6561,2420,3722,6562,4926,4378,3247,1736,4442,6332,
5134,6333,5226,3996,2918,5470,4319,4003,4598,4743,4744,4485,3785,3902,5167,5004,
5373,4394,5898,6144,4874,1793,3997,6334,4085,4214,5106,5642,4909,5799,6009,4419,
4189,3330,5899,4165,4420,5299,5720,5227,3347,6145,4081,6335,2876,3930,6146,3293,
3786,3910,3998,5900,5300,5578,2840,6563,5901,5579,6147,3531,5374,6564,6565,5580,
4759,5375,6566,6148,3559,5643,6336,6010,5517,6337,6338,5721,5902,3873,6011,6339,
6567,5518,3868,3649,5722,6568,4771,4947,6569,6149,4812,6570,2853,5471,6340,6341,
5644,4795,6342,6012,5723,6343,5724,6013,4349,6344,3160,6150,5193,4599,4514,4493,
5168,4320,6345,4927,3666,4745,5169,5903,5005,4928,6346,5725,6014,4730,4203,5046,
4948,3395,5170,6015,4150,6016,5726,5519,6347,5047,3550,6151,6348,4197,4310,5904,
6571,5581,2965,6152,4978,3960,4291,5135,6572,5301,5727,4129,4026,5905,4853,5728,
5472,6153,6349,4533,2700,4505,5336,4678,3583,5073,2994,4486,3043,4554,5520,6350,
6017,5800,4487,6351,3931,4103,5376,6352,4011,4321,4311,4190,5136,6018,3988,3233,
4350,5906,5645,4198,6573,5107,3432,4191,3435,5582,6574,4139,5410,6353,5411,3944,
5583,5074,3198,6575,6354,4358,6576,5302,4600,5584,5194,5412,6577,6578,5585,5413,
5303,4248,5414,3879,4433,6579,4479,5025,4854,5415,6355,4760,4772,3683,2978,4700,
3797,4452,3965,3932,3721,4910,5801,6580,5195,3551,5907,3221,3471,3029,6019,3999,
5908,5909,5266,5267,3444,3023,3828,3170,4796,5646,4979,4259,6356,5647,5337,3694,
6357,5648,5338,4520,4322,5802,3031,3759,4071,6020,5586,4836,4386,5048,6581,3571,
4679,4174,4949,6154,4813,3787,3402,3822,3958,3215,3552,5268,4387,3933,4950,4359,
6021,5910,5075,3579,6358,4234,4566,5521,6359,3613,5049,6022,5911,3375,3702,3178,
4911,5339,4521,6582,6583,4395,3087,3811,5377,6023,6360,6155,4027,5171,5649,4421,
4249,2804,6584,2270,6585,4000,4235,3045,6156,5137,5729,4140,4312,3886,6361,4330,
6157,4215,6158,3500,3676,4929,4331,3713,4930,5912,4265,3776,3368,5587,4470,4855,
3038,4980,3631,6159,6160,4132,4680,6161,6362,3923,4379,5588,4255,6586,4121,6587,
6363,4649,6364,3288,4773,4774,6162,6024,6365,3543,6588,4274,3107,3737,5050,5803,
4797,4522,5589,5051,5730,3714,4887,5378,4001,4523,6163,5026,5522,4701,4175,2791,
3760,6589,5473,4224,4133,3847,4814,4815,4775,3259,5416,6590,2738,6164,6025,5304,
3733,5076,5650,4816,5590,6591,6165,6592,3934,5269,6593,3396,5340,6594,5804,3445,
3602,4042,4488,5731,5732,3525,5591,4601,5196,6166,6026,5172,3642,4612,3202,4506,
4798,6366,3818,5108,4303,5138,5139,4776,3332,4304,2915,3415,4434,5077,5109,4856,
2879,5305,4817,6595,5913,3104,3144,3903,4634,5341,3133,5110,5651,5805,6167,4057,
5592,2945,4371,5593,6596,3474,4182,6367,6597,6168,4507,4279,6598,2822,6599,4777,
4713,5594,3829,6169,3887,5417,6170,3653,5474,6368,4216,2971,5228,3790,4579,6369,
5733,6600,6601,4951,4746,4555,6602,5418,5475,6027,3400,4665,5806,6171,4799,6028,
5052,6172,3343,4800,4747,5006,6370,4556,4217,5476,4396,5229,5379,5477,3839,5914,
5652,5807,4714,3068,4635,5808,6173,5342,4192,5078,5419,5523,5734,6174,4557,6175,
4602,6371,6176,6603,5809,6372,5735,4260,3869,5111,5230,6029,5112,6177,3126,4681,
5524,5915,2706,3563,4748,3130,6178,4018,5525,6604,6605,5478,4012,4837,6606,4534,
4193,5810,4857,3615,5479,6030,4082,3697,3539,4086,5270,3662,4508,4931,5916,4912,
5811,5027,3888,6607,4397,3527,3302,3798,2775,2921,2637,3966,4122,4388,4028,4054,
1633,4858,5079,3024,5007,3982,3412,5736,6608,3426,3236,5595,3030,6179,3427,3336,
3279,3110,6373,3874,3039,5080,5917,5140,4489,3119,6374,5812,3405,4494,6031,4666,
4141,6180,4166,6032,5813,4981,6609,5081,4422,4982,4112,3915,5653,3296,3983,6375,
4266,4410,5654,6610,6181,3436,5082,6611,5380,6033,3819,5596,4535,5231,5306,5113,
6612,4952,5918,4275,3113,6613,6376,6182,6183,5814,3073,4731,4838,5008,3831,6614,
4888,3090,3848,4280,5526,5232,3014,5655,5009,5737,5420,5527,6615,5815,5343,5173,
5381,4818,6616,3151,4953,6617,5738,2796,3204,4360,2989,4281,5739,5174,5421,5197,
3132,5141,3849,5142,5528,5083,3799,3904,4839,5480,2880,4495,3448,6377,6184,5271,
5919,3771,3193,6034,6035,5920,5010,6036,5597,6037,6378,6038,3106,5422,6618,5423,
5424,4142,6619,4889,5084,4890,4313,5740,6620,3437,5175,5307,5816,4199,5198,5529,
5817,5199,5656,4913,5028,5344,3850,6185,2955,5272,5011,5818,4567,4580,5029,5921,
3616,5233,6621,6622,6186,4176,6039,6379,6380,3352,5200,5273,2908,5598,5234,3837,
5308,6623,6624,5819,4496,4323,5309,5201,6625,6626,4983,3194,3838,4167,5530,5922,
5274,6381,6382,3860,3861,5599,3333,4292,4509,6383,3553,5481,5820,5531,4778,6187,
3955,3956,4324,4389,4218,3945,4325,3397,2681,5923,4779,5085,4019,5482,4891,5382,
5383,6040,4682,3425,5275,4094,6627,5310,3015,5483,5657,4398,5924,3168,4819,6628,
5925,6629,5532,4932,4613,6041,6630,4636,6384,4780,4204,5658,4423,5821,3989,4683,
5822,6385,4954,6631,5345,6188,5425,5012,5384,3894,6386,4490,4104,6632,5741,5053,
6633,5823,5926,5659,5660,5927,6634,5235,5742,5824,4840,4933,4820,6387,4859,5928,
4955,6388,4143,3584,5825,5346,5013,6635,5661,6389,5014,5484,5743,4337,5176,5662,
6390,2836,6391,3268,6392,6636,6042,5236,6637,4158,6638,5744,5663,4471,5347,3663,
4123,5143,4293,3895,6639,6640,5311,5929,5826,3800,6189,6393,6190,5664,5348,3554,
3594,4749,4603,6641,5385,4801,6043,5827,4183,6642,5312,5426,4761,6394,5665,6191,
4715,2669,6643,6644,5533,3185,5427,5086,5930,5931,5386,6192,6044,6645,4781,4013,
5745,4282,4435,5534,4390,4267,6045,5746,4984,6046,2743,6193,3501,4087,5485,5932,
5428,4184,4095,5747,4061,5054,3058,3862,5933,5600,6646,5144,3618,6395,3131,5055,
5313,6396,4650,4956,3855,6194,3896,5202,4985,4029,4225,6195,6647,5828,5486,5829,
3589,3002,6648,6397,4782,5276,6649,6196,6650,4105,3803,4043,5237,5830,6398,4096,
3643,6399,3528,6651,4453,3315,4637,6652,3984,6197,5535,3182,3339,6653,3096,2660,
6400,6654,3449,5934,4250,4236,6047,6401,5831,6655,5487,3753,4062,5832,6198,6199,
6656,3766,6657,3403,4667,6048,6658,4338,2897,5833,3880,2797,3780,4326,6659,5748,
5015,6660,5387,4351,5601,4411,6661,3654,4424,5935,4339,4072,5277,4568,5536,6402,
6662,5238,6663,5349,5203,6200,5204,6201,5145,4536,5016,5056,4762,5834,4399,4957,
6202,6403,5666,5749,6664,4340,6665,5936,5177,5667,6666,6667,3459,4668,6404,6668,
6669,4543,6203,6670,4276,6405,4480,5537,6671,4614,5205,5668,6672,3348,2193,4763,
6406,6204,5937,5602,4177,5669,3419,6673,4020,6205,4443,4569,5388,3715,3639,6407,
6049,4058,6206,6674,5938,4544,6050,4185,4294,4841,4651,4615,5488,6207,6408,6051,
5178,3241,3509,5835,6208,4958,5836,4341,5489,5278,6209,2823,5538,5350,5206,5429,
6675,4638,4875,4073,3516,4684,4914,4860,5939,5603,5389,6052,5057,3237,5490,3791,
6676,6409,6677,4821,4915,4106,5351,5058,4243,5539,4244,5604,4842,4916,5239,3028,
3716,5837,5114,5605,5390,5940,5430,6210,4332,6678,5540,4732,3667,3840,6053,4305,
3408,5670,5541,6410,2744,5240,5750,6679,3234,5606,6680,5607,5671,3608,4283,4159,
4400,5352,4783,6681,6411,6682,4491,4802,6211,6412,5941,6413,6414,5542,5751,6683,
4669,3734,5942,6684,6415,5943,5059,3328,4670,4144,4268,6685,6686,6687,6688,4372,
3603,6689,5944,5491,4373,3440,6416,5543,4784,4822,5608,3792,4616,5838,5672,3514,
5391,6417,4892,6690,4639,6691,6054,5673,5839,6055,6692,6056,5392,6212,4038,5544,
5674,4497,6057,6693,5840,4284,5675,4021,4545,5609,6418,4454,6419,6213,4113,4472,
5314,3738,5087,5279,4074,5610,4959,4063,3179,4750,6058,6420,6214,3476,4498,4716,
5431,4960,4685,6215,5241,6694,6421,6216,6695,5841,5945,6422,3748,5946,5179,3905,
5752,5545,5947,4374,6217,4455,6423,4412,6218,4803,5353,6696,3832,5280,6219,4327,
4702,6220,6221,6059,4652,5432,6424,3749,4751,6425,5753,4986,5393,4917,5948,5030,
5754,4861,4733,6426,4703,6697,6222,4671,5949,4546,4961,5180,6223,5031,3316,5281,
6698,4862,4295,4934,5207,3644,6427,5842,5950,6428,6429,4570,5843,5282,6430,6224,
5088,3239,6060,6699,5844,5755,6061,6431,2701,5546,6432,5115,5676,4039,3993,3327,
4752,4425,5315,6433,3941,6434,5677,4617,4604,3074,4581,6225,5433,6435,6226,6062,
4823,5756,5116,6227,3717,5678,4717,5845,6436,5679,5846,6063,5847,6064,3977,3354,
6437,3863,5117,6228,5547,5394,4499,4524,6229,4605,6230,4306,4500,6700,5951,6065,
3693,5952,5089,4366,4918,6701,6231,5548,6232,6702,6438,4704,5434,6703,6704,5953,
4168,6705,5680,3420,6706,5242,4407,6066,3812,5757,5090,5954,4672,4525,3481,5681,
4618,5395,5354,5316,5955,6439,4962,6707,4526,6440,3465,4673,6067,6441,5682,6708,
5435,5492,5758,5683,4619,4571,4674,4804,4893,4686,5493,4753,6233,6068,4269,6442,
6234,5032,4705,5146,5243,5208,5848,6235,6443,4963,5033,4640,4226,6236,5849,3387,
6444,6445,4436,4437,5850,4843,5494,4785,4894,6709,4361,6710,5091,5956,3331,6237,
4987,5549,6069,6711,4342,3517,4473,5317,6070,6712,6071,4706,6446,5017,5355,6713,
6714,4988,5436,6447,4734,5759,6715,4735,4547,4456,4754,6448,5851,6449,6450,3547,
5852,5318,6451,6452,5092,4205,6716,6238,4620,4219,5611,6239,6072,4481,5760,5957,
5958,4059,6240,6453,4227,4537,6241,5761,4030,4186,5244,5209,3761,4457,4876,3337,
5495,5181,6242,5959,5319,5612,5684,5853,3493,5854,6073,4169,5613,5147,4895,6074,
5210,6717,5182,6718,3830,6243,2798,3841,6075,6244,5855,5614,3604,4606,5496,5685,
5118,5356,6719,6454,5960,5357,5961,6720,4145,3935,4621,5119,5962,4261,6721,6455,
4786,5963,4375,4582,6245,6246,6247,6076,5437,4877,5856,3376,4380,6248,4160,6722,
5148,6456,5211,6457,6723,4718,6458,6724,6249,5358,4044,3297,6459,6250,5857,5615,
5497,5245,6460,5498,6725,6251,6252,5550,3793,5499,2959,5396,6461,6462,4572,5093,
5500,5964,3806,4146,6463,4426,5762,5858,6077,6253,4755,3967,4220,5965,6254,4989,
5501,6464,4352,6726,6078,4764,2290,5246,3906,5438,5283,3767,4964,2861,5763,5094,
6255,6256,4622,5616,5859,5860,4707,6727,4285,4708,4824,5617,6257,5551,4787,5212,
4965,4935,4687,6465,6728,6466,5686,6079,3494,4413,2995,5247,5966,5618,6729,5967,
5764,5765,5687,5502,6730,6731,6080,5397,6467,4990,6258,6732,4538,5060,5619,6733,
4719,5688,5439,5018,5149,5284,5503,6734,6081,4607,6259,5120,3645,5861,4583,6260,
4584,4675,5620,4098,5440,6261,4863,2379,3306,4585,5552,5689,4586,5285,6735,4864,
6736,5286,6082,6737,4623,3010,4788,4381,4558,5621,4587,4896,3698,3161,5248,4353,
4045,6262,3754,5183,4588,6738,6263,6739,6740,5622,3936,6741,6468,6742,6264,5095,
6469,4991,5968,6743,4992,6744,6083,4897,6745,4256,5766,4307,3108,3968,4444,5287,
3889,4343,6084,4510,6085,4559,6086,4898,5969,6746,5623,5061,4919,5249,5250,5504,
5441,6265,5320,4878,3242,5862,5251,3428,6087,6747,4237,5624,5442,6266,5553,4539,
6748,2585,3533,5398,4262,6088,5150,4736,4438,6089,6267,5505,4966,6749,6268,6750,
6269,5288,5554,3650,6090,6091,4624,6092,5690,6751,5863,4270,5691,4277,5555,5864,
6752,5692,4720,4865,6470,5151,4688,4825,6753,3094,6754,6471,3235,4653,6755,5213,
5399,6756,3201,4589,5865,4967,6472,5866,6473,5019,3016,6757,5321,4756,3957,4573,
6093,4993,5767,4721,6474,6758,5625,6759,4458,6475,6270,6760,5556,4994,5214,5252,
6271,3875,5768,6094,5034,5506,4376,5769,6761,2120,6476,5253,5770,6762,5771,5970,
3990,5971,5557,5558,5772,6477,6095,2787,4641,5972,5121,6096,6097,6272,6763,3703,
5867,5507,6273,4206,6274,4789,6098,6764,3619,3646,3833,3804,2394,3788,4936,3978,
4866,4899,6099,6100,5559,6478,6765,3599,5868,6101,5869,5870,6275,6766,4527,6767)
852,1221,1400,1486, 882,2299,4036, 351, 28,1122, 700,6479,6480,6481,6482,6483, #last 512
)
# flake8: noqa
+12 -7
View File
@@ -13,12 +13,12 @@
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
@@ -28,14 +28,19 @@
from .mbcharsetprober import MultiByteCharSetProber
from .codingstatemachine import CodingStateMachine
from .chardistribution import GB2312DistributionAnalysis
from .mbcssm import GB2312SMModel
from .mbcssm import GB2312_SM_MODEL
class GB2312Prober(MultiByteCharSetProber):
def __init__(self):
MultiByteCharSetProber.__init__(self)
self._mCodingSM = CodingStateMachine(GB2312SMModel)
self._mDistributionAnalyzer = GB2312DistributionAnalysis()
super(GB2312Prober, self).__init__()
self.coding_sm = CodingStateMachine(GB2312_SM_MODEL)
self.distribution_analyzer = GB2312DistributionAnalysis()
self.reset()
def get_charset_name(self):
@property
def charset_name(self):
return "GB2312"
@property
def language(self):
return "Chinese"
+86 -77
View File
@@ -26,8 +26,7 @@
######################### END LICENSE BLOCK #########################
from .charsetprober import CharSetProber
from .constants import eNotMe, eDetecting
from .compat import wrap_ord
from .enums import ProbingState
# This prober doesn't actually recognize a language or a charset.
# It is a helper prober for the use of the Hebrew model probers
@@ -126,56 +125,59 @@ from .compat import wrap_ord
# model probers scores. The answer is returned in the form of the name of the
# charset identified, either "windows-1255" or "ISO-8859-8".
# windows-1255 / ISO-8859-8 code points of interest
FINAL_KAF = 0xea
NORMAL_KAF = 0xeb
FINAL_MEM = 0xed
NORMAL_MEM = 0xee
FINAL_NUN = 0xef
NORMAL_NUN = 0xf0
FINAL_PE = 0xf3
NORMAL_PE = 0xf4
FINAL_TSADI = 0xf5
NORMAL_TSADI = 0xf6
# Minimum Visual vs Logical final letter score difference.
# If the difference is below this, don't rely solely on the final letter score
# distance.
MIN_FINAL_CHAR_DISTANCE = 5
# Minimum Visual vs Logical model score difference.
# If the difference is below this, don't rely at all on the model score
# distance.
MIN_MODEL_DISTANCE = 0.01
VISUAL_HEBREW_NAME = "ISO-8859-8"
LOGICAL_HEBREW_NAME = "windows-1255"
class HebrewProber(CharSetProber):
# windows-1255 / ISO-8859-8 code points of interest
FINAL_KAF = 0xea
NORMAL_KAF = 0xeb
FINAL_MEM = 0xed
NORMAL_MEM = 0xee
FINAL_NUN = 0xef
NORMAL_NUN = 0xf0
FINAL_PE = 0xf3
NORMAL_PE = 0xf4
FINAL_TSADI = 0xf5
NORMAL_TSADI = 0xf6
# Minimum Visual vs Logical final letter score difference.
# If the difference is below this, don't rely solely on the final letter score
# distance.
MIN_FINAL_CHAR_DISTANCE = 5
# Minimum Visual vs Logical model score difference.
# If the difference is below this, don't rely at all on the model score
# distance.
MIN_MODEL_DISTANCE = 0.01
VISUAL_HEBREW_NAME = "ISO-8859-8"
LOGICAL_HEBREW_NAME = "windows-1255"
def __init__(self):
CharSetProber.__init__(self)
self._mLogicalProber = None
self._mVisualProber = None
super(HebrewProber, self).__init__()
self._final_char_logical_score = None
self._final_char_visual_score = None
self._prev = None
self._before_prev = None
self._logical_prober = None
self._visual_prober = None
self.reset()
def reset(self):
self._mFinalCharLogicalScore = 0
self._mFinalCharVisualScore = 0
self._final_char_logical_score = 0
self._final_char_visual_score = 0
# The two last characters seen in the previous buffer,
# mPrev and mBeforePrev are initialized to space in order to simulate
# a word delimiter at the beginning of the data
self._mPrev = ' '
self._mBeforePrev = ' '
self._prev = ' '
self._before_prev = ' '
# These probers are owned by the group prober.
def set_model_probers(self, logicalProber, visualProber):
self._mLogicalProber = logicalProber
self._mVisualProber = visualProber
self._logical_prober = logicalProber
self._visual_prober = visualProber
def is_final(self, c):
return wrap_ord(c) in [FINAL_KAF, FINAL_MEM, FINAL_NUN, FINAL_PE,
FINAL_TSADI]
return c in [self.FINAL_KAF, self.FINAL_MEM, self.FINAL_NUN,
self.FINAL_PE, self.FINAL_TSADI]
def is_non_final(self, c):
# The normal Tsadi is not a good Non-Final letter due to words like
@@ -188,9 +190,10 @@ class HebrewProber(CharSetProber):
# for example legally end with a Non-Final Pe or Kaf. However, the
# benefit of these letters as Non-Final letters outweighs the damage
# since these words are quite rare.
return wrap_ord(c) in [NORMAL_KAF, NORMAL_MEM, NORMAL_NUN, NORMAL_PE]
return c in [self.NORMAL_KAF, self.NORMAL_MEM,
self.NORMAL_NUN, self.NORMAL_PE]
def feed(self, aBuf):
def feed(self, byte_str):
# Final letter analysis for logical-visual decision.
# Look for evidence that the received buffer is either logical Hebrew
# or visual Hebrew.
@@ -217,67 +220,73 @@ class HebrewProber(CharSetProber):
# We automatically filter out all 7-bit characters (replace them with
# spaces) so the word boundary detection works properly. [MAP]
if self.get_state() == eNotMe:
if self.state == ProbingState.NOT_ME:
# Both model probers say it's not them. No reason to continue.
return eNotMe
return ProbingState.NOT_ME
aBuf = self.filter_high_bit_only(aBuf)
byte_str = self.filter_high_byte_only(byte_str)
for cur in aBuf:
for cur in byte_str:
if cur == ' ':
# We stand on a space - a word just ended
if self._mBeforePrev != ' ':
# next-to-last char was not a space so self._mPrev is not a
if self._before_prev != ' ':
# next-to-last char was not a space so self._prev is not a
# 1 letter word
if self.is_final(self._mPrev):
if self.is_final(self._prev):
# case (1) [-2:not space][-1:final letter][cur:space]
self._mFinalCharLogicalScore += 1
elif self.is_non_final(self._mPrev):
self._final_char_logical_score += 1
elif self.is_non_final(self._prev):
# case (2) [-2:not space][-1:Non-Final letter][
# cur:space]
self._mFinalCharVisualScore += 1
self._final_char_visual_score += 1
else:
# Not standing on a space
if ((self._mBeforePrev == ' ') and
(self.is_final(self._mPrev)) and (cur != ' ')):
if ((self._before_prev == ' ') and
(self.is_final(self._prev)) and (cur != ' ')):
# case (3) [-2:space][-1:final letter][cur:not space]
self._mFinalCharVisualScore += 1
self._mBeforePrev = self._mPrev
self._mPrev = cur
self._final_char_visual_score += 1
self._before_prev = self._prev
self._prev = cur
# Forever detecting, till the end or until both model probers return
# eNotMe (handled above)
return eDetecting
# ProbingState.NOT_ME (handled above)
return ProbingState.DETECTING
def get_charset_name(self):
@property
def charset_name(self):
# Make the decision: is it Logical or Visual?
# If the final letter score distance is dominant enough, rely on it.
finalsub = self._mFinalCharLogicalScore - self._mFinalCharVisualScore
if finalsub >= MIN_FINAL_CHAR_DISTANCE:
return LOGICAL_HEBREW_NAME
if finalsub <= -MIN_FINAL_CHAR_DISTANCE:
return VISUAL_HEBREW_NAME
finalsub = self._final_char_logical_score - self._final_char_visual_score
if finalsub >= self.MIN_FINAL_CHAR_DISTANCE:
return self.LOGICAL_HEBREW_NAME
if finalsub <= -self.MIN_FINAL_CHAR_DISTANCE:
return self.VISUAL_HEBREW_NAME
# It's not dominant enough, try to rely on the model scores instead.
modelsub = (self._mLogicalProber.get_confidence()
- self._mVisualProber.get_confidence())
if modelsub > MIN_MODEL_DISTANCE:
return LOGICAL_HEBREW_NAME
if modelsub < -MIN_MODEL_DISTANCE:
return VISUAL_HEBREW_NAME
modelsub = (self._logical_prober.get_confidence()
- self._visual_prober.get_confidence())
if modelsub > self.MIN_MODEL_DISTANCE:
return self.LOGICAL_HEBREW_NAME
if modelsub < -self.MIN_MODEL_DISTANCE:
return self.VISUAL_HEBREW_NAME
# Still no good, back to final letter distance, maybe it'll save the
# day.
if finalsub < 0.0:
return VISUAL_HEBREW_NAME
return self.VISUAL_HEBREW_NAME
# (finalsub > 0 - Logical) or (don't know what to do) default to
# Logical.
return LOGICAL_HEBREW_NAME
return self.LOGICAL_HEBREW_NAME
def get_state(self):
@property
def language(self):
return 'Hebrew'
@property
def state(self):
# Remain active as long as any of the model probers are active.
if (self._mLogicalProber.get_state() == eNotMe) and \
(self._mVisualProber.get_state() == eNotMe):
return eNotMe
return eDetecting
if (self._logical_prober.state == ProbingState.NOT_ME) and \
(self._visual_prober.state == ProbingState.NOT_ME):
return ProbingState.NOT_ME
return ProbingState.DETECTING
+3 -247
View File
@@ -46,7 +46,7 @@ JIS_TYPICAL_DISTRIBUTION_RATIO = 3.0
# Char to FreqOrder table ,
JIS_TABLE_SIZE = 4368
JISCharToFreqOrder = (
JIS_CHAR_TO_FREQ_ORDER = (
40, 1, 6, 182, 152, 180, 295,2127, 285, 381,3295,4304,3068,4606,3165,3510, # 16
3511,1822,2785,4607,1193,2226,5070,4608, 171,2996,1247, 18, 179,5071, 856,1661, # 32
1262,5072, 619, 127,3431,3512,3230,1899,1700, 232, 228,1294,1298, 284, 283,2041, # 48
@@ -320,250 +320,6 @@ JISCharToFreqOrder = (
2413,2477,1216,2725,2159, 334,3840,1328,3624,2921,1525,4132, 564,1056, 891,4363, # 4336
1444,1698,2385,2251,3729,1365,2281,2235,1717,6188, 864,3841,2515, 444, 527,2767, # 4352
2922,3625, 544, 461,6189, 566, 209,2437,3398,2098,1065,2068,3331,3626,3257,2137, # 4368 #last 512
#Everything below is of no interest for detection purpose
2138,2122,3730,2888,1995,1820,1044,6190,6191,6192,6193,6194,6195,6196,6197,6198, # 4384
6199,6200,6201,6202,6203,6204,6205,4670,6206,6207,6208,6209,6210,6211,6212,6213, # 4400
6214,6215,6216,6217,6218,6219,6220,6221,6222,6223,6224,6225,6226,6227,6228,6229, # 4416
6230,6231,6232,6233,6234,6235,6236,6237,3187,6238,6239,3969,6240,6241,6242,6243, # 4432
6244,4671,6245,6246,4672,6247,6248,4133,6249,6250,4364,6251,2923,2556,2613,4673, # 4448
4365,3970,6252,6253,6254,6255,4674,6256,6257,6258,2768,2353,4366,4675,4676,3188, # 4464
4367,3463,6259,4134,4677,4678,6260,2267,6261,3842,3332,4368,3543,6262,6263,6264, # 4480
3013,1954,1928,4135,4679,6265,6266,2478,3091,6267,4680,4369,6268,6269,1699,6270, # 4496
3544,4136,4681,6271,4137,6272,4370,2804,6273,6274,2593,3971,3972,4682,6275,2236, # 4512
4683,6276,6277,4684,6278,6279,4138,3973,4685,6280,6281,3258,6282,6283,6284,6285, # 4528
3974,4686,2841,3975,6286,6287,3545,6288,6289,4139,4687,4140,6290,4141,6291,4142, # 4544
6292,6293,3333,6294,6295,6296,4371,6297,3399,6298,6299,4372,3976,6300,6301,6302, # 4560
4373,6303,6304,3843,3731,6305,4688,4374,6306,6307,3259,2294,6308,3732,2530,4143, # 4576
6309,4689,6310,6311,6312,3048,6313,6314,4690,3733,2237,6315,6316,2282,3334,6317, # 4592
6318,3844,6319,6320,4691,6321,3400,4692,6322,4693,6323,3049,6324,4375,6325,3977, # 4608
6326,6327,6328,3546,6329,4694,3335,6330,4695,4696,6331,6332,6333,6334,4376,3978, # 4624
6335,4697,3979,4144,6336,3980,4698,6337,6338,6339,6340,6341,4699,4700,4701,6342, # 4640
6343,4702,6344,6345,4703,6346,6347,4704,6348,4705,4706,3135,6349,4707,6350,4708, # 4656
6351,4377,6352,4709,3734,4145,6353,2506,4710,3189,6354,3050,4711,3981,6355,3547, # 4672
3014,4146,4378,3735,2651,3845,3260,3136,2224,1986,6356,3401,6357,4712,2594,3627, # 4688
3137,2573,3736,3982,4713,3628,4714,4715,2682,3629,4716,6358,3630,4379,3631,6359, # 4704
6360,6361,3983,6362,6363,6364,6365,4147,3846,4717,6366,6367,3737,2842,6368,4718, # 4720
2628,6369,3261,6370,2386,6371,6372,3738,3984,4719,3464,4720,3402,6373,2924,3336, # 4736
4148,2866,6374,2805,3262,4380,2704,2069,2531,3138,2806,2984,6375,2769,6376,4721, # 4752
4722,3403,6377,6378,3548,6379,6380,2705,3092,1979,4149,2629,3337,2889,6381,3338, # 4768
4150,2557,3339,4381,6382,3190,3263,3739,6383,4151,4723,4152,2558,2574,3404,3191, # 4784
6384,6385,4153,6386,4724,4382,6387,6388,4383,6389,6390,4154,6391,4725,3985,6392, # 4800
3847,4155,6393,6394,6395,6396,6397,3465,6398,4384,6399,6400,6401,6402,6403,6404, # 4816
4156,6405,6406,6407,6408,2123,6409,6410,2326,3192,4726,6411,6412,6413,6414,4385, # 4832
4157,6415,6416,4158,6417,3093,3848,6418,3986,6419,6420,3849,6421,6422,6423,4159, # 4848
6424,6425,4160,6426,3740,6427,6428,6429,6430,3987,6431,4727,6432,2238,6433,6434, # 4864
4386,3988,6435,6436,3632,6437,6438,2843,6439,6440,6441,6442,3633,6443,2958,6444, # 4880
6445,3466,6446,2364,4387,3850,6447,4388,2959,3340,6448,3851,6449,4728,6450,6451, # 4896
3264,4729,6452,3193,6453,4389,4390,2706,3341,4730,6454,3139,6455,3194,6456,3051, # 4912
2124,3852,1602,4391,4161,3853,1158,3854,4162,3989,4392,3990,4731,4732,4393,2040, # 4928
4163,4394,3265,6457,2807,3467,3855,6458,6459,6460,3991,3468,4733,4734,6461,3140, # 4944
2960,6462,4735,6463,6464,6465,6466,4736,4737,4738,4739,6467,6468,4164,2403,3856, # 4960
6469,6470,2770,2844,6471,4740,6472,6473,6474,6475,6476,6477,6478,3195,6479,4741, # 4976
4395,6480,2867,6481,4742,2808,6482,2493,4165,6483,6484,6485,6486,2295,4743,6487, # 4992
6488,6489,3634,6490,6491,6492,6493,6494,6495,6496,2985,4744,6497,6498,4745,6499, # 5008
6500,2925,3141,4166,6501,6502,4746,6503,6504,4747,6505,6506,6507,2890,6508,6509, # 5024
6510,6511,6512,6513,6514,6515,6516,6517,6518,6519,3469,4167,6520,6521,6522,4748, # 5040
4396,3741,4397,4749,4398,3342,2125,4750,6523,4751,4752,4753,3052,6524,2961,4168, # 5056
6525,4754,6526,4755,4399,2926,4169,6527,3857,6528,4400,4170,6529,4171,6530,6531, # 5072
2595,6532,6533,6534,6535,3635,6536,6537,6538,6539,6540,6541,6542,4756,6543,6544, # 5088
6545,6546,6547,6548,4401,6549,6550,6551,6552,4402,3405,4757,4403,6553,6554,6555, # 5104
4172,3742,6556,6557,6558,3992,3636,6559,6560,3053,2726,6561,3549,4173,3054,4404, # 5120
6562,6563,3993,4405,3266,3550,2809,4406,6564,6565,6566,4758,4759,6567,3743,6568, # 5136
4760,3744,4761,3470,6569,6570,6571,4407,6572,3745,4174,6573,4175,2810,4176,3196, # 5152
4762,6574,4177,6575,6576,2494,2891,3551,6577,6578,3471,6579,4408,6580,3015,3197, # 5168
6581,3343,2532,3994,3858,6582,3094,3406,4409,6583,2892,4178,4763,4410,3016,4411, # 5184
6584,3995,3142,3017,2683,6585,4179,6586,6587,4764,4412,6588,6589,4413,6590,2986, # 5200
6591,2962,3552,6592,2963,3472,6593,6594,4180,4765,6595,6596,2225,3267,4414,6597, # 5216
3407,3637,4766,6598,6599,3198,6600,4415,6601,3859,3199,6602,3473,4767,2811,4416, # 5232
1856,3268,3200,2575,3996,3997,3201,4417,6603,3095,2927,6604,3143,6605,2268,6606, # 5248
3998,3860,3096,2771,6607,6608,3638,2495,4768,6609,3861,6610,3269,2745,4769,4181, # 5264
3553,6611,2845,3270,6612,6613,6614,3862,6615,6616,4770,4771,6617,3474,3999,4418, # 5280
4419,6618,3639,3344,6619,4772,4182,6620,2126,6621,6622,6623,4420,4773,6624,3018, # 5296
6625,4774,3554,6626,4183,2025,3746,6627,4184,2707,6628,4421,4422,3097,1775,4185, # 5312
3555,6629,6630,2868,6631,6632,4423,6633,6634,4424,2414,2533,2928,6635,4186,2387, # 5328
6636,4775,6637,4187,6638,1891,4425,3202,3203,6639,6640,4776,6641,3345,6642,6643, # 5344
3640,6644,3475,3346,3641,4000,6645,3144,6646,3098,2812,4188,3642,3204,6647,3863, # 5360
3476,6648,3864,6649,4426,4001,6650,6651,6652,2576,6653,4189,4777,6654,6655,6656, # 5376
2846,6657,3477,3205,4002,6658,4003,6659,3347,2252,6660,6661,6662,4778,6663,6664, # 5392
6665,6666,6667,6668,6669,4779,4780,2048,6670,3478,3099,6671,3556,3747,4004,6672, # 5408
6673,6674,3145,4005,3748,6675,6676,6677,6678,6679,3408,6680,6681,6682,6683,3206, # 5424
3207,6684,6685,4781,4427,6686,4782,4783,4784,6687,6688,6689,4190,6690,6691,3479, # 5440
6692,2746,6693,4428,6694,6695,6696,6697,6698,6699,4785,6700,6701,3208,2727,6702, # 5456
3146,6703,6704,3409,2196,6705,4429,6706,6707,6708,2534,1996,6709,6710,6711,2747, # 5472
6712,6713,6714,4786,3643,6715,4430,4431,6716,3557,6717,4432,4433,6718,6719,6720, # 5488
6721,3749,6722,4006,4787,6723,6724,3644,4788,4434,6725,6726,4789,2772,6727,6728, # 5504
6729,6730,6731,2708,3865,2813,4435,6732,6733,4790,4791,3480,6734,6735,6736,6737, # 5520
4436,3348,6738,3410,4007,6739,6740,4008,6741,6742,4792,3411,4191,6743,6744,6745, # 5536
6746,6747,3866,6748,3750,6749,6750,6751,6752,6753,6754,6755,3867,6756,4009,6757, # 5552
4793,4794,6758,2814,2987,6759,6760,6761,4437,6762,6763,6764,6765,3645,6766,6767, # 5568
3481,4192,6768,3751,6769,6770,2174,6771,3868,3752,6772,6773,6774,4193,4795,4438, # 5584
3558,4796,4439,6775,4797,6776,6777,4798,6778,4799,3559,4800,6779,6780,6781,3482, # 5600
6782,2893,6783,6784,4194,4801,4010,6785,6786,4440,6787,4011,6788,6789,6790,6791, # 5616
6792,6793,4802,6794,6795,6796,4012,6797,6798,6799,6800,3349,4803,3483,6801,4804, # 5632
4195,6802,4013,6803,6804,4196,6805,4014,4015,6806,2847,3271,2848,6807,3484,6808, # 5648
6809,6810,4441,6811,4442,4197,4443,3272,4805,6812,3412,4016,1579,6813,6814,4017, # 5664
6815,3869,6816,2964,6817,4806,6818,6819,4018,3646,6820,6821,4807,4019,4020,6822, # 5680
6823,3560,6824,6825,4021,4444,6826,4198,6827,6828,4445,6829,6830,4199,4808,6831, # 5696
6832,6833,3870,3019,2458,6834,3753,3413,3350,6835,4809,3871,4810,3561,4446,6836, # 5712
6837,4447,4811,4812,6838,2459,4448,6839,4449,6840,6841,4022,3872,6842,4813,4814, # 5728
6843,6844,4815,4200,4201,4202,6845,4023,6846,6847,4450,3562,3873,6848,6849,4816, # 5744
4817,6850,4451,4818,2139,6851,3563,6852,6853,3351,6854,6855,3352,4024,2709,3414, # 5760
4203,4452,6856,4204,6857,6858,3874,3875,6859,6860,4819,6861,6862,6863,6864,4453, # 5776
3647,6865,6866,4820,6867,6868,6869,6870,4454,6871,2869,6872,6873,4821,6874,3754, # 5792
6875,4822,4205,6876,6877,6878,3648,4206,4455,6879,4823,6880,4824,3876,6881,3055, # 5808
4207,6882,3415,6883,6884,6885,4208,4209,6886,4210,3353,6887,3354,3564,3209,3485, # 5824
2652,6888,2728,6889,3210,3755,6890,4025,4456,6891,4825,6892,6893,6894,6895,4211, # 5840
6896,6897,6898,4826,6899,6900,4212,6901,4827,6902,2773,3565,6903,4828,6904,6905, # 5856
6906,6907,3649,3650,6908,2849,3566,6909,3567,3100,6910,6911,6912,6913,6914,6915, # 5872
4026,6916,3355,4829,3056,4457,3756,6917,3651,6918,4213,3652,2870,6919,4458,6920, # 5888
2438,6921,6922,3757,2774,4830,6923,3356,4831,4832,6924,4833,4459,3653,2507,6925, # 5904
4834,2535,6926,6927,3273,4027,3147,6928,3568,6929,6930,6931,4460,6932,3877,4461, # 5920
2729,3654,6933,6934,6935,6936,2175,4835,2630,4214,4028,4462,4836,4215,6937,3148, # 5936
4216,4463,4837,4838,4217,6938,6939,2850,4839,6940,4464,6941,6942,6943,4840,6944, # 5952
4218,3274,4465,6945,6946,2710,6947,4841,4466,6948,6949,2894,6950,6951,4842,6952, # 5968
4219,3057,2871,6953,6954,6955,6956,4467,6957,2711,6958,6959,6960,3275,3101,4843, # 5984
6961,3357,3569,6962,4844,6963,6964,4468,4845,3570,6965,3102,4846,3758,6966,4847, # 6000
3878,4848,4849,4029,6967,2929,3879,4850,4851,6968,6969,1733,6970,4220,6971,6972, # 6016
6973,6974,6975,6976,4852,6977,6978,6979,6980,6981,6982,3759,6983,6984,6985,3486, # 6032
3487,6986,3488,3416,6987,6988,6989,6990,6991,6992,6993,6994,6995,6996,6997,4853, # 6048
6998,6999,4030,7000,7001,3211,7002,7003,4221,7004,7005,3571,4031,7006,3572,7007, # 6064
2614,4854,2577,7008,7009,2965,3655,3656,4855,2775,3489,3880,4222,4856,3881,4032, # 6080
3882,3657,2730,3490,4857,7010,3149,7011,4469,4858,2496,3491,4859,2283,7012,7013, # 6096
7014,2365,4860,4470,7015,7016,3760,7017,7018,4223,1917,7019,7020,7021,4471,7022, # 6112
2776,4472,7023,7024,7025,7026,4033,7027,3573,4224,4861,4034,4862,7028,7029,1929, # 6128
3883,4035,7030,4473,3058,7031,2536,3761,3884,7032,4036,7033,2966,2895,1968,4474, # 6144
3276,4225,3417,3492,4226,2105,7034,7035,1754,2596,3762,4227,4863,4475,3763,4864, # 6160
3764,2615,2777,3103,3765,3658,3418,4865,2296,3766,2815,7036,7037,7038,3574,2872, # 6176
3277,4476,7039,4037,4477,7040,7041,4038,7042,7043,7044,7045,7046,7047,2537,7048, # 6192
7049,7050,7051,7052,7053,7054,4478,7055,7056,3767,3659,4228,3575,7057,7058,4229, # 6208
7059,7060,7061,3660,7062,3212,7063,3885,4039,2460,7064,7065,7066,7067,7068,7069, # 6224
7070,7071,7072,7073,7074,4866,3768,4867,7075,7076,7077,7078,4868,3358,3278,2653, # 6240
7079,7080,4479,3886,7081,7082,4869,7083,7084,7085,7086,7087,7088,2538,7089,7090, # 6256
7091,4040,3150,3769,4870,4041,2896,3359,4230,2930,7092,3279,7093,2967,4480,3213, # 6272
4481,3661,7094,7095,7096,7097,7098,7099,7100,7101,7102,2461,3770,7103,7104,4231, # 6288
3151,7105,7106,7107,4042,3662,7108,7109,4871,3663,4872,4043,3059,7110,7111,7112, # 6304
3493,2988,7113,4873,7114,7115,7116,3771,4874,7117,7118,4232,4875,7119,3576,2336, # 6320
4876,7120,4233,3419,4044,4877,4878,4482,4483,4879,4484,4234,7121,3772,4880,1045, # 6336
3280,3664,4881,4882,7122,7123,7124,7125,4883,7126,2778,7127,4485,4486,7128,4884, # 6352
3214,3887,7129,7130,3215,7131,4885,4045,7132,7133,4046,7134,7135,7136,7137,7138, # 6368
7139,7140,7141,7142,7143,4235,7144,4886,7145,7146,7147,4887,7148,7149,7150,4487, # 6384
4047,4488,7151,7152,4888,4048,2989,3888,7153,3665,7154,4049,7155,7156,7157,7158, # 6400
7159,7160,2931,4889,4890,4489,7161,2631,3889,4236,2779,7162,7163,4891,7164,3060, # 6416
7165,1672,4892,7166,4893,4237,3281,4894,7167,7168,3666,7169,3494,7170,7171,4050, # 6432
7172,7173,3104,3360,3420,4490,4051,2684,4052,7174,4053,7175,7176,7177,2253,4054, # 6448
7178,7179,4895,7180,3152,3890,3153,4491,3216,7181,7182,7183,2968,4238,4492,4055, # 6464
7184,2990,7185,2479,7186,7187,4493,7188,7189,7190,7191,7192,4896,7193,4897,2969, # 6480
4494,4898,7194,3495,7195,7196,4899,4495,7197,3105,2731,7198,4900,7199,7200,7201, # 6496
4056,7202,3361,7203,7204,4496,4901,4902,7205,4497,7206,7207,2315,4903,7208,4904, # 6512
7209,4905,2851,7210,7211,3577,7212,3578,4906,7213,4057,3667,4907,7214,4058,2354, # 6528
3891,2376,3217,3773,7215,7216,7217,7218,7219,4498,7220,4908,3282,2685,7221,3496, # 6544
4909,2632,3154,4910,7222,2337,7223,4911,7224,7225,7226,4912,4913,3283,4239,4499, # 6560
7227,2816,7228,7229,7230,7231,7232,7233,7234,4914,4500,4501,7235,7236,7237,2686, # 6576
7238,4915,7239,2897,4502,7240,4503,7241,2516,7242,4504,3362,3218,7243,7244,7245, # 6592
4916,7246,7247,4505,3363,7248,7249,7250,7251,3774,4506,7252,7253,4917,7254,7255, # 6608
3284,2991,4918,4919,3219,3892,4920,3106,3497,4921,7256,7257,7258,4922,7259,4923, # 6624
3364,4507,4508,4059,7260,4240,3498,7261,7262,4924,7263,2992,3893,4060,3220,7264, # 6640
7265,7266,7267,7268,7269,4509,3775,7270,2817,7271,4061,4925,4510,3776,7272,4241, # 6656
4511,3285,7273,7274,3499,7275,7276,7277,4062,4512,4926,7278,3107,3894,7279,7280, # 6672
4927,7281,4513,7282,7283,3668,7284,7285,4242,4514,4243,7286,2058,4515,4928,4929, # 6688
4516,7287,3286,4244,7288,4517,7289,7290,7291,3669,7292,7293,4930,4931,4932,2355, # 6704
4933,7294,2633,4518,7295,4245,7296,7297,4519,7298,7299,4520,4521,4934,7300,4246, # 6720
4522,7301,7302,7303,3579,7304,4247,4935,7305,4936,7306,7307,7308,7309,3777,7310, # 6736
4523,7311,7312,7313,4248,3580,7314,4524,3778,4249,7315,3581,7316,3287,7317,3221, # 6752
7318,4937,7319,7320,7321,7322,7323,7324,4938,4939,7325,4525,7326,7327,7328,4063, # 6768
7329,7330,4940,7331,7332,4941,7333,4526,7334,3500,2780,1741,4942,2026,1742,7335, # 6784
7336,3582,4527,2388,7337,7338,7339,4528,7340,4250,4943,7341,7342,7343,4944,7344, # 6800
7345,7346,3020,7347,4945,7348,7349,7350,7351,3895,7352,3896,4064,3897,7353,7354, # 6816
7355,4251,7356,7357,3898,7358,3779,7359,3780,3288,7360,7361,4529,7362,4946,4530, # 6832
2027,7363,3899,4531,4947,3222,3583,7364,4948,7365,7366,7367,7368,4949,3501,4950, # 6848
3781,4951,4532,7369,2517,4952,4252,4953,3155,7370,4954,4955,4253,2518,4533,7371, # 6864
7372,2712,4254,7373,7374,7375,3670,4956,3671,7376,2389,3502,4065,7377,2338,7378, # 6880
7379,7380,7381,3061,7382,4957,7383,7384,7385,7386,4958,4534,7387,7388,2993,7389, # 6896
3062,7390,4959,7391,7392,7393,4960,3108,4961,7394,4535,7395,4962,3421,4536,7396, # 6912
4963,7397,4964,1857,7398,4965,7399,7400,2176,3584,4966,7401,7402,3422,4537,3900, # 6928
3585,7403,3782,7404,2852,7405,7406,7407,4538,3783,2654,3423,4967,4539,7408,3784, # 6944
3586,2853,4540,4541,7409,3901,7410,3902,7411,7412,3785,3109,2327,3903,7413,7414, # 6960
2970,4066,2932,7415,7416,7417,3904,3672,3424,7418,4542,4543,4544,7419,4968,7420, # 6976
7421,4255,7422,7423,7424,7425,7426,4067,7427,3673,3365,4545,7428,3110,2559,3674, # 6992
7429,7430,3156,7431,7432,3503,7433,3425,4546,7434,3063,2873,7435,3223,4969,4547, # 7008
4548,2898,4256,4068,7436,4069,3587,3786,2933,3787,4257,4970,4971,3788,7437,4972, # 7024
3064,7438,4549,7439,7440,7441,7442,7443,4973,3905,7444,2874,7445,7446,7447,7448, # 7040
3021,7449,4550,3906,3588,4974,7450,7451,3789,3675,7452,2578,7453,4070,7454,7455, # 7056
7456,4258,3676,7457,4975,7458,4976,4259,3790,3504,2634,4977,3677,4551,4260,7459, # 7072
7460,7461,7462,3907,4261,4978,7463,7464,7465,7466,4979,4980,7467,7468,2213,4262, # 7088
7469,7470,7471,3678,4981,7472,2439,7473,4263,3224,3289,7474,3908,2415,4982,7475, # 7104
4264,7476,4983,2655,7477,7478,2732,4552,2854,2875,7479,7480,4265,7481,4553,4984, # 7120
7482,7483,4266,7484,3679,3366,3680,2818,2781,2782,3367,3589,4554,3065,7485,4071, # 7136
2899,7486,7487,3157,2462,4072,4555,4073,4985,4986,3111,4267,2687,3368,4556,4074, # 7152
3791,4268,7488,3909,2783,7489,2656,1962,3158,4557,4987,1963,3159,3160,7490,3112, # 7168
4988,4989,3022,4990,4991,3792,2855,7491,7492,2971,4558,7493,7494,4992,7495,7496, # 7184
7497,7498,4993,7499,3426,4559,4994,7500,3681,4560,4269,4270,3910,7501,4075,4995, # 7200
4271,7502,7503,4076,7504,4996,7505,3225,4997,4272,4077,2819,3023,7506,7507,2733, # 7216
4561,7508,4562,7509,3369,3793,7510,3590,2508,7511,7512,4273,3113,2994,2616,7513, # 7232
7514,7515,7516,7517,7518,2820,3911,4078,2748,7519,7520,4563,4998,7521,7522,7523, # 7248
7524,4999,4274,7525,4564,3682,2239,4079,4565,7526,7527,7528,7529,5000,7530,7531, # 7264
5001,4275,3794,7532,7533,7534,3066,5002,4566,3161,7535,7536,4080,7537,3162,7538, # 7280
7539,4567,7540,7541,7542,7543,7544,7545,5003,7546,4568,7547,7548,7549,7550,7551, # 7296
7552,7553,7554,7555,7556,5004,7557,7558,7559,5005,7560,3795,7561,4569,7562,7563, # 7312
7564,2821,3796,4276,4277,4081,7565,2876,7566,5006,7567,7568,2900,7569,3797,3912, # 7328
7570,7571,7572,4278,7573,7574,7575,5007,7576,7577,5008,7578,7579,4279,2934,7580, # 7344
7581,5009,7582,4570,7583,4280,7584,7585,7586,4571,4572,3913,7587,4573,3505,7588, # 7360
5010,7589,7590,7591,7592,3798,4574,7593,7594,5011,7595,4281,7596,7597,7598,4282, # 7376
5012,7599,7600,5013,3163,7601,5014,7602,3914,7603,7604,2734,4575,4576,4577,7605, # 7392
7606,7607,7608,7609,3506,5015,4578,7610,4082,7611,2822,2901,2579,3683,3024,4579, # 7408
3507,7612,4580,7613,3226,3799,5016,7614,7615,7616,7617,7618,7619,7620,2995,3290, # 7424
7621,4083,7622,5017,7623,7624,7625,7626,7627,4581,3915,7628,3291,7629,5018,7630, # 7440
7631,7632,7633,4084,7634,7635,3427,3800,7636,7637,4582,7638,5019,4583,5020,7639, # 7456
3916,7640,3801,5021,4584,4283,7641,7642,3428,3591,2269,7643,2617,7644,4585,3592, # 7472
7645,4586,2902,7646,7647,3227,5022,7648,4587,7649,4284,7650,7651,7652,4588,2284, # 7488
7653,5023,7654,7655,7656,4589,5024,3802,7657,7658,5025,3508,4590,7659,7660,7661, # 7504
1969,5026,7662,7663,3684,1821,2688,7664,2028,2509,4285,7665,2823,1841,7666,2689, # 7520
3114,7667,3917,4085,2160,5027,5028,2972,7668,5029,7669,7670,7671,3593,4086,7672, # 7536
4591,4087,5030,3803,7673,7674,7675,7676,7677,7678,7679,4286,2366,4592,4593,3067, # 7552
2328,7680,7681,4594,3594,3918,2029,4287,7682,5031,3919,3370,4288,4595,2856,7683, # 7568
3509,7684,7685,5032,5033,7686,7687,3804,2784,7688,7689,7690,7691,3371,7692,7693, # 7584
2877,5034,7694,7695,3920,4289,4088,7696,7697,7698,5035,7699,5036,4290,5037,5038, # 7600
5039,7700,7701,7702,5040,5041,3228,7703,1760,7704,5042,3229,4596,2106,4089,7705, # 7616
4597,2824,5043,2107,3372,7706,4291,4090,5044,7707,4091,7708,5045,3025,3805,4598, # 7632
4292,4293,4294,3373,7709,4599,7710,5046,7711,7712,5047,5048,3806,7713,7714,7715, # 7648
5049,7716,7717,7718,7719,4600,5050,7720,7721,7722,5051,7723,4295,3429,7724,7725, # 7664
7726,7727,3921,7728,3292,5052,4092,7729,7730,7731,7732,7733,7734,7735,5053,5054, # 7680
7736,7737,7738,7739,3922,3685,7740,7741,7742,7743,2635,5055,7744,5056,4601,7745, # 7696
7746,2560,7747,7748,7749,7750,3923,7751,7752,7753,7754,7755,4296,2903,7756,7757, # 7712
7758,7759,7760,3924,7761,5057,4297,7762,7763,5058,4298,7764,4093,7765,7766,5059, # 7728
3925,7767,7768,7769,7770,7771,7772,7773,7774,7775,7776,3595,7777,4299,5060,4094, # 7744
7778,3293,5061,7779,7780,4300,7781,7782,4602,7783,3596,7784,7785,3430,2367,7786, # 7760
3164,5062,5063,4301,7787,7788,4095,5064,5065,7789,3374,3115,7790,7791,7792,7793, # 7776
7794,7795,7796,3597,4603,7797,7798,3686,3116,3807,5066,7799,7800,5067,7801,7802, # 7792
4604,4302,5068,4303,4096,7803,7804,3294,7805,7806,5069,4605,2690,7807,3026,7808, # 7808
7809,7810,7811,7812,7813,7814,7815,7816,7817,7818,7819,7820,7821,7822,7823,7824, # 7824
7825,7826,7827,7828,7829,7830,7831,7832,7833,7834,7835,7836,7837,7838,7839,7840, # 7840
7841,7842,7843,7844,7845,7846,7847,7848,7849,7850,7851,7852,7853,7854,7855,7856, # 7856
7857,7858,7859,7860,7861,7862,7863,7864,7865,7866,7867,7868,7869,7870,7871,7872, # 7872
7873,7874,7875,7876,7877,7878,7879,7880,7881,7882,7883,7884,7885,7886,7887,7888, # 7888
7889,7890,7891,7892,7893,7894,7895,7896,7897,7898,7899,7900,7901,7902,7903,7904, # 7904
7905,7906,7907,7908,7909,7910,7911,7912,7913,7914,7915,7916,7917,7918,7919,7920, # 7920
7921,7922,7923,7924,3926,7925,7926,7927,7928,7929,7930,7931,7932,7933,7934,7935, # 7936
7936,7937,7938,7939,7940,7941,7942,7943,7944,7945,7946,7947,7948,7949,7950,7951, # 7952
7952,7953,7954,7955,7956,7957,7958,7959,7960,7961,7962,7963,7964,7965,7966,7967, # 7968
7968,7969,7970,7971,7972,7973,7974,7975,7976,7977,7978,7979,7980,7981,7982,7983, # 7984
7984,7985,7986,7987,7988,7989,7990,7991,7992,7993,7994,7995,7996,7997,7998,7999, # 8000
8000,8001,8002,8003,8004,8005,8006,8007,8008,8009,8010,8011,8012,8013,8014,8015, # 8016
8016,8017,8018,8019,8020,8021,8022,8023,8024,8025,8026,8027,8028,8029,8030,8031, # 8032
8032,8033,8034,8035,8036,8037,8038,8039,8040,8041,8042,8043,8044,8045,8046,8047, # 8048
8048,8049,8050,8051,8052,8053,8054,8055,8056,8057,8058,8059,8060,8061,8062,8063, # 8064
8064,8065,8066,8067,8068,8069,8070,8071,8072,8073,8074,8075,8076,8077,8078,8079, # 8080
8080,8081,8082,8083,8084,8085,8086,8087,8088,8089,8090,8091,8092,8093,8094,8095, # 8096
8096,8097,8098,8099,8100,8101,8102,8103,8104,8105,8106,8107,8108,8109,8110,8111, # 8112
8112,8113,8114,8115,8116,8117,8118,8119,8120,8121,8122,8123,8124,8125,8126,8127, # 8128
8128,8129,8130,8131,8132,8133,8134,8135,8136,8137,8138,8139,8140,8141,8142,8143, # 8144
8144,8145,8146,8147,8148,8149,8150,8151,8152,8153,8154,8155,8156,8157,8158,8159, # 8160
8160,8161,8162,8163,8164,8165,8166,8167,8168,8169,8170,8171,8172,8173,8174,8175, # 8176
8176,8177,8178,8179,8180,8181,8182,8183,8184,8185,8186,8187,8188,8189,8190,8191, # 8192
8192,8193,8194,8195,8196,8197,8198,8199,8200,8201,8202,8203,8204,8205,8206,8207, # 8208
8208,8209,8210,8211,8212,8213,8214,8215,8216,8217,8218,8219,8220,8221,8222,8223, # 8224
8224,8225,8226,8227,8228,8229,8230,8231,8232,8233,8234,8235,8236,8237,8238,8239, # 8240
8240,8241,8242,8243,8244,8245,8246,8247,8248,8249,8250,8251,8252,8253,8254,8255, # 8256
8256,8257,8258,8259,8260,8261,8262,8263,8264,8265,8266,8267,8268,8269,8270,8271) # 8272
)
# flake8: noqa
+65 -59
View File
@@ -25,13 +25,6 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from .compat import wrap_ord
NUM_OF_CATEGORY = 6
DONT_KNOW = -1
ENOUGH_REL_THRESHOLD = 100
MAX_REL_THRESHOLD = 1000
MINIMUM_DATA_THRESHOLD = 4
# This is hiragana 2-char sequence table, the number in each cell represents its frequency category
jp2CharContext = (
@@ -120,24 +113,35 @@ jp2CharContext = (
(0,4,0,3,0,3,0,3,0,3,5,5,3,3,3,3,4,3,4,3,3,3,4,4,4,3,3,3,3,4,3,5,3,3,1,3,2,4,5,5,5,5,4,3,4,5,5,3,2,2,3,3,3,3,2,3,3,1,2,3,2,4,3,3,3,4,0,4,0,2,0,4,3,2,2,1,2,0,3,0,0,4,1),
)
class JapaneseContextAnalysis:
class JapaneseContextAnalysis(object):
NUM_OF_CATEGORY = 6
DONT_KNOW = -1
ENOUGH_REL_THRESHOLD = 100
MAX_REL_THRESHOLD = 1000
MINIMUM_DATA_THRESHOLD = 4
def __init__(self):
self._total_rel = None
self._rel_sample = None
self._need_to_skip_char_num = None
self._last_char_order = None
self._done = None
self.reset()
def reset(self):
self._mTotalRel = 0 # total sequence received
# category counters, each interger counts sequence in its category
self._mRelSample = [0] * NUM_OF_CATEGORY
self._total_rel = 0 # total sequence received
# category counters, each integer counts sequence in its category
self._rel_sample = [0] * self.NUM_OF_CATEGORY
# if last byte in current buffer is not the last byte of a character,
# we need to know how many bytes to skip in next buffer
self._mNeedToSkipCharNum = 0
self._mLastCharOrder = -1 # The order of previous char
self._need_to_skip_char_num = 0
self._last_char_order = -1 # The order of previous char
# If this flag is set to True, detection is done and conclusion has
# been made
self._mDone = False
self._done = False
def feed(self, aBuf, aLen):
if self._mDone:
def feed(self, byte_str, num_bytes):
if self._done:
return
# The buffer we got is byte oriented, and a character may span in more than one
@@ -147,81 +151,83 @@ class JapaneseContextAnalysis:
# well and analyse the character once it is complete, but since a
# character will not make much difference, by simply skipping
# this character will simply our logic and improve performance.
i = self._mNeedToSkipCharNum
while i < aLen:
order, charLen = self.get_order(aBuf[i:i + 2])
i += charLen
if i > aLen:
self._mNeedToSkipCharNum = i - aLen
self._mLastCharOrder = -1
i = self._need_to_skip_char_num
while i < num_bytes:
order, char_len = self.get_order(byte_str[i:i + 2])
i += char_len
if i > num_bytes:
self._need_to_skip_char_num = i - num_bytes
self._last_char_order = -1
else:
if (order != -1) and (self._mLastCharOrder != -1):
self._mTotalRel += 1
if self._mTotalRel > MAX_REL_THRESHOLD:
self._mDone = True
if (order != -1) and (self._last_char_order != -1):
self._total_rel += 1
if self._total_rel > self.MAX_REL_THRESHOLD:
self._done = True
break
self._mRelSample[jp2CharContext[self._mLastCharOrder][order]] += 1
self._mLastCharOrder = order
self._rel_sample[jp2CharContext[self._last_char_order][order]] += 1
self._last_char_order = order
def got_enough_data(self):
return self._mTotalRel > ENOUGH_REL_THRESHOLD
return self._total_rel > self.ENOUGH_REL_THRESHOLD
def get_confidence(self):
# This is just one way to calculate confidence. It works well for me.
if self._mTotalRel > MINIMUM_DATA_THRESHOLD:
return (self._mTotalRel - self._mRelSample[0]) / self._mTotalRel
if self._total_rel > self.MINIMUM_DATA_THRESHOLD:
return (self._total_rel - self._rel_sample[0]) / self._total_rel
else:
return DONT_KNOW
return self.DONT_KNOW
def get_order(self, aBuf):
def get_order(self, byte_str):
return -1, 1
class SJISContextAnalysis(JapaneseContextAnalysis):
def __init__(self):
self.charset_name = "SHIFT_JIS"
super(SJISContextAnalysis, self).__init__()
self._charset_name = "SHIFT_JIS"
def get_charset_name(self):
return self.charset_name
@property
def charset_name(self):
return self._charset_name
def get_order(self, aBuf):
if not aBuf:
def get_order(self, byte_str):
if not byte_str:
return -1, 1
# find out current char's byte length
first_char = wrap_ord(aBuf[0])
if ((0x81 <= first_char <= 0x9F) or (0xE0 <= first_char <= 0xFC)):
charLen = 2
first_char = byte_str[0]
if (0x81 <= first_char <= 0x9F) or (0xE0 <= first_char <= 0xFC):
char_len = 2
if (first_char == 0x87) or (0xFA <= first_char <= 0xFC):
self.charset_name = "CP932"
self._charset_name = "CP932"
else:
charLen = 1
char_len = 1
# return its order if it is hiragana
if len(aBuf) > 1:
second_char = wrap_ord(aBuf[1])
if len(byte_str) > 1:
second_char = byte_str[1]
if (first_char == 202) and (0x9F <= second_char <= 0xF1):
return second_char - 0x9F, charLen
return second_char - 0x9F, char_len
return -1, charLen
return -1, char_len
class EUCJPContextAnalysis(JapaneseContextAnalysis):
def get_order(self, aBuf):
if not aBuf:
def get_order(self, byte_str):
if not byte_str:
return -1, 1
# find out current char's byte length
first_char = wrap_ord(aBuf[0])
first_char = byte_str[0]
if (first_char == 0x8E) or (0xA1 <= first_char <= 0xFE):
charLen = 2
char_len = 2
elif first_char == 0x8F:
charLen = 3
char_len = 3
else:
charLen = 1
char_len = 1
# return its order if it is hiragana
if len(aBuf) > 1:
second_char = wrap_ord(aBuf[1])
if len(byte_str) > 1:
second_char = byte_str[1]
if (first_char == 0xA4) and (0xA1 <= second_char <= 0xF3):
return second_char - 0xA1, charLen
return second_char - 0xA1, char_len
return -1, char_len
return -1, charLen
# flake8: noqa
+12 -13
View File
@@ -210,20 +210,19 @@ BulgarianLangModel = (
)
Latin5BulgarianModel = {
'charToOrderMap': Latin5_BulgarianCharToOrderMap,
'precedenceMatrix': BulgarianLangModel,
'mTypicalPositiveRatio': 0.969392,
'keepEnglishLetter': False,
'charsetName': "ISO-8859-5"
'char_to_order_map': Latin5_BulgarianCharToOrderMap,
'precedence_matrix': BulgarianLangModel,
'typical_positive_ratio': 0.969392,
'keep_english_letter': False,
'charset_name': "ISO-8859-5",
'language': 'Bulgairan',
}
Win1251BulgarianModel = {
'charToOrderMap': win1251BulgarianCharToOrderMap,
'precedenceMatrix': BulgarianLangModel,
'mTypicalPositiveRatio': 0.969392,
'keepEnglishLetter': False,
'charsetName': "windows-1251"
'char_to_order_map': win1251BulgarianCharToOrderMap,
'precedence_matrix': BulgarianLangModel,
'typical_positive_ratio': 0.969392,
'keep_english_letter': False,
'charset_name': "windows-1251",
'language': 'Bulgarian',
}
# flake8: noqa
+43 -39
View File
@@ -27,7 +27,7 @@
# KOI8-R language model
# Character Mapping Table:
KOI8R_CharToOrderMap = (
KOI8R_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
@@ -46,7 +46,7 @@ KOI8R_CharToOrderMap = (
35, 43, 45, 32, 40, 52, 56, 33, 61, 62, 51, 57, 47, 63, 50, 70, # f0
)
win1251_CharToOrderMap = (
win1251_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
@@ -65,7 +65,7 @@ win1251_CharToOrderMap = (
9, 7, 6, 14, 39, 26, 28, 22, 25, 29, 54, 18, 17, 30, 27, 16,
)
latin5_CharToOrderMap = (
latin5_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
@@ -84,7 +84,7 @@ latin5_CharToOrderMap = (
239, 68,240,241,242,243,244,245,246,247,248,249,250,251,252,255,
)
macCyrillic_CharToOrderMap = (
macCyrillic_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
@@ -103,7 +103,7 @@ macCyrillic_CharToOrderMap = (
9, 7, 6, 14, 39, 26, 28, 22, 25, 29, 54, 18, 17, 30, 27,255,
)
IBM855_CharToOrderMap = (
IBM855_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
@@ -122,7 +122,7 @@ IBM855_CharToOrderMap = (
250, 18, 62, 20, 51, 25, 57, 30, 47, 29, 63, 22, 50,251,252,255,
)
IBM866_CharToOrderMap = (
IBM866_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
@@ -279,51 +279,55 @@ RussianLangModel = (
)
Koi8rModel = {
'charToOrderMap': KOI8R_CharToOrderMap,
'precedenceMatrix': RussianLangModel,
'mTypicalPositiveRatio': 0.976601,
'keepEnglishLetter': False,
'charsetName': "KOI8-R"
'char_to_order_map': KOI8R_char_to_order_map,
'precedence_matrix': RussianLangModel,
'typical_positive_ratio': 0.976601,
'keep_english_letter': False,
'charset_name': "KOI8-R",
'language': 'Russian',
}
Win1251CyrillicModel = {
'charToOrderMap': win1251_CharToOrderMap,
'precedenceMatrix': RussianLangModel,
'mTypicalPositiveRatio': 0.976601,
'keepEnglishLetter': False,
'charsetName': "windows-1251"
'char_to_order_map': win1251_char_to_order_map,
'precedence_matrix': RussianLangModel,
'typical_positive_ratio': 0.976601,
'keep_english_letter': False,
'charset_name': "windows-1251",
'language': 'Russian',
}
Latin5CyrillicModel = {
'charToOrderMap': latin5_CharToOrderMap,
'precedenceMatrix': RussianLangModel,
'mTypicalPositiveRatio': 0.976601,
'keepEnglishLetter': False,
'charsetName': "ISO-8859-5"
'char_to_order_map': latin5_char_to_order_map,
'precedence_matrix': RussianLangModel,
'typical_positive_ratio': 0.976601,
'keep_english_letter': False,
'charset_name': "ISO-8859-5",
'language': 'Russian',
}
MacCyrillicModel = {
'charToOrderMap': macCyrillic_CharToOrderMap,
'precedenceMatrix': RussianLangModel,
'mTypicalPositiveRatio': 0.976601,
'keepEnglishLetter': False,
'charsetName': "MacCyrillic"
};
'char_to_order_map': macCyrillic_char_to_order_map,
'precedence_matrix': RussianLangModel,
'typical_positive_ratio': 0.976601,
'keep_english_letter': False,
'charset_name': "MacCyrillic",
'language': 'Russian',
}
Ibm866Model = {
'charToOrderMap': IBM866_CharToOrderMap,
'precedenceMatrix': RussianLangModel,
'mTypicalPositiveRatio': 0.976601,
'keepEnglishLetter': False,
'charsetName': "IBM866"
'char_to_order_map': IBM866_char_to_order_map,
'precedence_matrix': RussianLangModel,
'typical_positive_ratio': 0.976601,
'keep_english_letter': False,
'charset_name': "IBM866",
'language': 'Russian',
}
Ibm855Model = {
'charToOrderMap': IBM855_CharToOrderMap,
'precedenceMatrix': RussianLangModel,
'mTypicalPositiveRatio': 0.976601,
'keepEnglishLetter': False,
'charsetName': "IBM855"
'char_to_order_map': IBM855_char_to_order_map,
'precedence_matrix': RussianLangModel,
'typical_positive_ratio': 0.976601,
'keep_english_letter': False,
'charset_name': "IBM855",
'language': 'Russian',
}
# flake8: noqa
+14 -14
View File
@@ -31,7 +31,7 @@
# 252: 0 - 9
# Character Mapping Table:
Latin7_CharToOrderMap = (
Latin7_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
@@ -50,7 +50,7 @@ Latin7_CharToOrderMap = (
9, 8, 14, 7, 2, 12, 28, 23, 42, 24, 64, 75, 19, 26, 27,253, # f0
)
win1253_CharToOrderMap = (
win1253_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
@@ -207,19 +207,19 @@ GreekLangModel = (
)
Latin7GreekModel = {
'charToOrderMap': Latin7_CharToOrderMap,
'precedenceMatrix': GreekLangModel,
'mTypicalPositiveRatio': 0.982851,
'keepEnglishLetter': False,
'charsetName': "ISO-8859-7"
'char_to_order_map': Latin7_char_to_order_map,
'precedence_matrix': GreekLangModel,
'typical_positive_ratio': 0.982851,
'keep_english_letter': False,
'charset_name': "ISO-8859-7",
'language': 'Greek',
}
Win1253GreekModel = {
'charToOrderMap': win1253_CharToOrderMap,
'precedenceMatrix': GreekLangModel,
'mTypicalPositiveRatio': 0.982851,
'keepEnglishLetter': False,
'charsetName': "windows-1253"
'char_to_order_map': win1253_char_to_order_map,
'precedence_matrix': GreekLangModel,
'typical_positive_ratio': 0.982851,
'keep_english_letter': False,
'charset_name': "windows-1253",
'language': 'Greek',
}
# flake8: noqa
+8 -9
View File
@@ -34,7 +34,7 @@
# Windows-1255 language model
# Character Mapping Table:
win1255_CharToOrderMap = (
WIN1255_CHAR_TO_ORDER_MAP = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
@@ -59,7 +59,7 @@ win1255_CharToOrderMap = (
# first 1024 sequences: 1.5981%
# rest sequences: 0.087%
# negative sequences: 0.0015%
HebrewLangModel = (
HEBREW_LANG_MODEL = (
0,3,3,3,3,3,3,3,3,3,3,2,3,3,3,3,3,3,3,3,3,3,3,2,3,2,1,2,0,1,0,0,
3,0,3,1,0,0,1,3,2,0,1,1,2,0,2,2,2,1,1,1,1,2,1,1,1,2,0,0,2,2,0,1,
3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,2,2,2,2,
@@ -191,11 +191,10 @@ HebrewLangModel = (
)
Win1255HebrewModel = {
'charToOrderMap': win1255_CharToOrderMap,
'precedenceMatrix': HebrewLangModel,
'mTypicalPositiveRatio': 0.984004,
'keepEnglishLetter': False,
'charsetName': "windows-1255"
'char_to_order_map': WIN1255_CHAR_TO_ORDER_MAP,
'precedence_matrix': HEBREW_LANG_MODEL,
'typical_positive_ratio': 0.984004,
'keep_english_letter': False,
'charset_name': "windows-1255",
'language': 'Hebrew',
}
# flake8: noqa
+12 -12
View File
@@ -207,19 +207,19 @@ HungarianLangModel = (
)
Latin2HungarianModel = {
'charToOrderMap': Latin2_HungarianCharToOrderMap,
'precedenceMatrix': HungarianLangModel,
'mTypicalPositiveRatio': 0.947368,
'keepEnglishLetter': True,
'charsetName': "ISO-8859-2"
'char_to_order_map': Latin2_HungarianCharToOrderMap,
'precedence_matrix': HungarianLangModel,
'typical_positive_ratio': 0.947368,
'keep_english_letter': True,
'charset_name': "ISO-8859-2",
'language': 'Hungarian',
}
Win1250HungarianModel = {
'charToOrderMap': win1250HungarianCharToOrderMap,
'precedenceMatrix': HungarianLangModel,
'mTypicalPositiveRatio': 0.947368,
'keepEnglishLetter': True,
'charsetName': "windows-1250"
'char_to_order_map': win1250HungarianCharToOrderMap,
'precedence_matrix': HungarianLangModel,
'typical_positive_ratio': 0.947368,
'keep_english_letter': True,
'charset_name': "windows-1250",
'language': 'Hungarian',
}
# flake8: noqa
+6 -7
View File
@@ -190,11 +190,10 @@ ThaiLangModel = (
)
TIS620ThaiModel = {
'charToOrderMap': TIS620CharToOrderMap,
'precedenceMatrix': ThaiLangModel,
'mTypicalPositiveRatio': 0.926386,
'keepEnglishLetter': False,
'charsetName': "TIS-620"
'char_to_order_map': TIS620CharToOrderMap,
'precedence_matrix': ThaiLangModel,
'typical_positive_ratio': 0.926386,
'keep_english_letter': False,
'charset_name': "TIS-620",
'language': 'Thai',
}
# flake8: noqa
+193
View File
@@ -0,0 +1,193 @@
# -*- coding: utf-8 -*-
######################## BEGIN LICENSE BLOCK ########################
# The Original Code is Mozilla Communicator client code.
#
# The Initial Developer of the Original Code is
# Netscape Communications Corporation.
# Portions created by the Initial Developer are Copyright (C) 1998
# the Initial Developer. All Rights Reserved.
#
# Contributor(s):
# Mark Pilgrim - port to Python
# Özgür Baskın - Turkish Language Model
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
# 255: Control characters that usually does not exist in any text
# 254: Carriage/Return
# 253: symbol (punctuation) that does not belong to word
# 252: 0 - 9
# Character Mapping Table:
Latin5_TurkishCharToOrderMap = (
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,
255, 23, 37, 47, 39, 29, 52, 36, 45, 53, 60, 16, 49, 20, 46, 42,
48, 69, 44, 35, 31, 51, 38, 62, 65, 43, 56,255,255,255,255,255,
255, 1, 21, 28, 12, 2, 18, 27, 25, 3, 24, 10, 5, 13, 4, 15,
26, 64, 7, 8, 9, 14, 32, 57, 58, 11, 22,255,255,255,255,255,
180,179,178,177,176,175,174,173,172,171,170,169,168,167,166,165,
164,163,162,161,160,159,101,158,157,156,155,154,153,152,151,106,
150,149,148,147,146,145,144,100,143,142,141,140,139,138,137,136,
94, 80, 93,135,105,134,133, 63,132,131,130,129,128,127,126,125,
124,104, 73, 99, 79, 85,123, 54,122, 98, 92,121,120, 91,103,119,
68,118,117, 97,116,115, 50, 90,114,113,112,111, 55, 41, 40, 86,
89, 70, 59, 78, 71, 82, 88, 33, 77, 66, 84, 83,110, 75, 61, 96,
30, 67,109, 74, 87,102, 34, 95, 81,108, 76, 72, 17, 6, 19,107,
)
TurkishLangModel = (
3,2,3,3,3,1,3,3,3,3,3,3,3,3,2,1,1,3,3,1,3,3,0,3,3,3,3,3,0,3,1,3,
3,2,1,0,0,1,1,0,0,0,1,0,0,1,1,1,1,0,0,0,0,0,0,0,2,2,0,0,1,0,0,1,
3,2,2,3,3,0,3,3,3,3,3,3,3,2,3,1,0,3,3,1,3,3,0,3,3,3,3,3,0,3,0,3,
3,1,1,0,1,0,1,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,2,2,0,0,0,1,0,1,
3,3,2,3,3,0,3,3,3,3,3,3,3,2,3,1,1,3,3,0,3,3,1,2,3,3,3,3,0,3,0,3,
3,1,1,0,0,0,1,0,0,0,0,1,1,0,1,2,1,0,0,0,1,0,0,0,0,2,0,0,0,0,0,1,
3,3,3,3,3,3,2,3,3,3,3,3,3,3,3,1,3,3,2,0,3,2,1,2,2,1,3,3,0,0,0,2,
2,2,0,1,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,1,0,0,1,
3,3,3,2,3,3,1,2,3,3,3,3,3,3,3,1,3,2,1,0,3,2,0,1,2,3,3,2,1,0,0,2,
2,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,2,0,2,0,0,0,
1,0,1,3,3,1,3,3,3,3,3,3,3,1,2,0,0,2,3,0,2,3,0,0,2,2,2,3,0,3,0,1,
2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,0,3,3,3,0,3,2,0,2,3,2,3,3,1,0,0,2,
3,2,0,0,1,0,0,0,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,0,1,1,1,0,2,0,0,1,
3,3,3,2,3,3,2,3,3,3,3,2,3,3,3,0,3,3,0,0,2,1,0,0,2,3,2,2,0,0,0,2,
2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,1,0,2,0,0,1,
3,3,3,2,3,3,3,3,3,3,3,2,3,3,3,0,3,2,0,1,3,2,1,1,3,2,3,2,1,0,0,2,
2,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,
3,3,3,2,3,3,3,3,3,3,3,2,3,3,3,0,3,2,2,0,2,3,0,0,2,2,2,2,0,0,0,2,
3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,1,0,0,0,
3,3,3,3,3,3,3,2,2,2,2,3,2,3,3,0,3,3,1,1,2,2,0,0,2,2,3,2,0,0,1,3,
0,3,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,
3,3,3,2,3,3,3,2,1,2,2,3,2,3,3,0,3,2,0,0,1,1,0,1,1,2,1,2,0,0,0,1,
0,3,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,
3,3,3,2,3,3,2,3,2,2,2,3,3,3,3,1,3,1,1,0,3,2,1,1,3,3,2,3,1,0,0,1,
1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,1,
3,2,2,3,3,0,3,3,3,3,3,3,3,2,2,1,0,3,3,1,3,3,0,1,3,3,2,3,0,3,0,3,
2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,
2,2,2,3,3,0,3,3,3,3,3,3,3,3,3,0,0,3,2,0,3,3,0,3,2,3,3,3,0,3,1,3,
2,0,0,0,0,0,0,0,0,0,0,1,0,1,2,0,1,0,0,0,0,0,0,0,2,2,0,0,1,0,0,1,
3,3,3,1,2,3,3,1,0,0,1,0,0,3,3,2,3,0,0,2,0,0,2,0,2,0,0,0,2,0,2,0,
0,3,1,0,1,0,0,0,2,2,1,0,1,1,2,1,2,2,2,0,2,1,1,0,0,0,2,0,0,0,0,0,
1,2,1,3,3,0,3,3,3,3,3,2,3,0,0,0,0,2,3,0,2,3,1,0,2,3,1,3,0,3,0,2,
3,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,1,3,3,2,2,3,2,2,0,1,2,3,0,1,2,1,0,1,0,0,0,1,0,2,2,0,0,0,1,
1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,1,0,0,0,
3,3,3,1,3,3,1,1,3,3,1,1,3,3,1,0,2,1,2,0,2,1,0,0,1,1,2,1,0,0,0,2,
2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,1,0,2,1,3,0,0,2,0,0,3,3,0,3,0,0,1,0,1,2,0,0,1,1,2,2,0,1,0,
0,1,2,1,1,0,1,0,1,1,1,1,1,0,1,1,1,2,2,1,2,0,1,0,0,0,0,0,0,1,0,0,
3,3,3,2,3,2,3,3,0,2,2,2,3,3,3,0,3,0,0,0,2,2,0,1,2,1,1,1,0,0,0,1,
0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,
3,3,3,3,3,3,2,1,2,2,3,3,3,3,2,0,2,0,0,0,2,2,0,0,2,1,3,3,0,0,1,1,
1,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,
1,1,2,3,3,0,3,3,3,3,3,3,2,2,0,2,0,2,3,2,3,2,2,2,2,2,2,2,1,3,2,3,
2,0,2,1,2,2,2,2,1,1,2,2,1,2,2,1,2,0,0,2,1,1,0,2,1,0,0,1,0,0,0,1,
2,3,3,1,1,1,0,1,1,1,2,3,2,1,1,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,
0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,2,2,2,3,2,3,2,2,1,3,3,3,0,2,1,2,0,2,1,0,0,1,1,1,1,1,0,0,1,
2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,2,0,1,0,0,0,
3,3,3,2,3,3,3,3,3,2,3,1,2,3,3,1,2,0,0,0,0,0,0,0,3,2,1,1,0,0,0,0,
2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,
3,3,3,2,2,3,3,2,1,1,1,1,1,3,3,0,3,1,0,0,1,1,0,0,3,1,2,1,0,0,0,0,
0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,
3,3,3,2,2,3,2,2,2,3,2,1,1,3,3,0,3,0,0,0,0,1,0,0,3,1,1,2,0,0,0,1,
1,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,
1,1,1,3,3,0,3,3,3,3,3,2,2,2,1,2,0,2,1,2,2,1,1,0,1,2,2,2,2,2,2,2,
0,0,2,1,2,1,2,1,0,1,1,3,1,2,1,1,2,0,0,2,0,1,0,1,0,1,0,0,0,1,0,1,
3,3,3,1,3,3,3,0,1,1,0,2,2,3,1,0,3,0,0,0,1,0,0,0,1,0,0,1,0,1,0,0,
1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,2,0,0,2,2,1,0,0,1,0,0,3,3,1,3,0,0,1,1,0,2,0,3,0,0,0,2,0,1,1,
0,1,2,0,1,2,2,0,2,2,2,2,1,0,2,1,1,0,2,0,2,1,2,0,0,0,0,0,0,0,0,0,
3,3,3,1,3,2,3,2,0,2,2,2,1,3,2,0,2,1,2,0,1,2,0,0,1,0,2,2,0,0,0,2,
1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,
3,3,3,0,3,3,1,1,2,3,1,0,3,2,3,0,3,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,
1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,3,3,0,3,3,2,3,3,2,2,0,0,0,0,1,2,0,1,3,0,0,0,3,1,1,0,3,0,2,
2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,1,2,2,1,0,3,1,1,1,1,3,3,2,3,0,0,1,0,1,2,0,2,2,0,2,2,0,2,1,
0,2,2,1,1,1,1,0,2,1,1,0,1,1,1,1,2,1,2,1,2,0,1,0,1,0,0,0,0,0,0,0,
3,3,3,0,1,1,3,0,0,1,1,0,0,2,2,0,3,0,0,1,1,0,1,0,0,0,0,0,2,0,0,0,
0,3,1,0,1,0,1,0,2,0,0,1,0,1,0,1,1,1,2,1,1,0,2,0,0,0,0,0,0,0,0,0,
3,3,3,0,2,0,2,0,1,1,1,0,0,3,3,0,2,0,0,1,0,0,2,1,1,0,1,0,1,0,1,0,
0,2,0,1,2,0,2,0,2,1,1,0,1,0,2,1,1,0,2,1,1,0,1,0,0,0,1,1,0,0,0,0,
3,2,3,0,1,0,0,0,0,0,0,0,0,1,2,0,1,0,0,1,0,0,1,0,0,0,0,0,2,0,0,0,
0,0,1,1,0,0,1,0,1,0,0,1,0,0,0,2,1,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,0,0,2,3,0,0,1,0,1,0,2,3,2,3,0,0,1,3,0,2,1,0,0,0,0,2,0,1,0,
0,2,1,0,0,1,1,0,2,1,0,0,1,0,0,1,1,0,1,1,2,0,1,0,0,0,0,1,0,0,0,0,
3,2,2,0,0,1,1,0,0,0,0,0,0,3,1,1,1,0,0,0,0,0,1,0,0,0,0,0,2,0,1,0,
0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,
0,0,0,3,3,0,2,3,2,2,1,2,2,1,1,2,0,1,3,2,2,2,0,0,2,2,0,0,0,1,2,1,
3,0,2,1,1,0,1,1,1,0,1,2,2,2,1,1,2,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,
0,1,1,2,3,0,3,3,3,2,2,2,2,1,0,1,0,1,0,1,2,2,0,0,2,2,1,3,1,1,2,1,
0,0,1,1,2,0,1,1,0,0,1,2,0,2,1,1,2,0,0,1,0,0,0,1,0,1,0,1,0,0,0,0,
3,3,2,0,0,3,1,0,0,0,0,0,0,3,2,1,2,0,0,1,0,0,2,0,0,0,0,0,2,0,1,0,
0,2,1,1,0,0,1,0,1,2,0,0,1,1,0,0,2,1,1,1,1,0,2,0,0,0,0,0,0,0,0,0,
3,3,2,0,0,1,0,0,0,0,1,0,0,3,3,2,2,0,0,1,0,0,2,0,1,0,0,0,2,0,1,0,
0,0,1,1,0,0,2,0,2,1,0,0,1,1,2,1,2,0,2,1,2,1,1,1,0,0,1,1,0,0,0,0,
3,3,2,0,0,2,2,0,0,0,1,1,0,2,2,1,3,1,0,1,0,1,2,0,0,0,0,0,1,0,1,0,
0,1,1,0,0,0,0,0,1,0,0,1,0,0,0,1,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,2,0,0,0,1,0,0,1,0,0,2,3,1,2,0,0,1,0,0,2,0,0,0,1,0,2,0,2,0,
0,1,1,2,2,1,2,0,2,1,1,0,0,1,1,0,1,1,1,1,2,1,1,0,0,0,0,0,0,0,0,0,
3,3,3,0,2,1,2,1,0,0,1,1,0,3,3,1,2,0,0,1,0,0,2,0,2,0,1,1,2,0,0,0,
0,0,1,1,1,1,2,0,1,1,0,1,1,1,1,0,0,0,1,1,1,0,1,0,0,0,1,0,0,0,0,0,
3,3,3,0,2,2,3,2,0,0,1,0,0,2,3,1,0,0,0,0,0,0,2,0,2,0,0,0,2,0,0,0,
0,1,1,0,0,0,1,0,0,1,0,1,1,0,1,0,1,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,
3,2,3,0,0,0,0,0,0,0,1,0,0,2,2,2,2,0,0,1,0,0,2,0,0,0,0,0,2,0,1,0,
0,0,2,1,1,0,1,0,2,1,1,0,0,1,1,2,1,0,2,0,2,0,1,0,0,0,2,0,0,0,0,0,
0,0,0,2,2,0,2,1,1,1,1,2,2,0,0,1,0,1,0,0,1,3,0,0,0,0,1,0,0,2,1,0,
0,0,1,0,1,0,0,0,0,0,2,1,0,1,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,
2,0,0,2,3,0,2,3,1,2,2,0,2,0,0,2,0,2,1,1,1,2,1,0,0,1,2,1,1,2,1,0,
1,0,2,0,1,0,1,1,0,0,2,2,1,2,1,1,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,0,2,1,2,0,0,0,1,0,0,3,2,0,1,0,0,1,0,0,2,0,0,0,1,2,1,0,1,0,
0,0,0,0,1,0,1,0,0,1,0,0,0,0,1,0,1,0,1,1,1,0,1,0,0,0,0,0,0,0,0,0,
0,0,0,2,2,0,2,2,1,1,0,1,1,1,1,1,0,0,1,2,1,1,1,0,1,0,0,0,1,1,1,1,
0,0,2,1,0,1,1,1,0,1,1,2,1,2,1,1,2,0,1,1,2,1,0,2,0,0,0,0,0,0,0,0,
3,2,2,0,0,2,0,0,0,0,0,0,0,2,2,0,2,0,0,1,0,0,2,0,0,0,0,0,2,0,0,0,
0,2,1,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,
0,0,0,3,2,0,2,2,0,1,1,0,1,0,0,1,0,0,0,1,0,1,0,0,0,0,0,1,0,0,0,0,
2,0,1,0,1,0,1,1,0,0,1,2,0,1,0,1,1,0,0,1,0,1,0,2,0,0,0,0,0,0,0,0,
2,2,2,0,1,1,0,0,0,1,0,0,0,1,2,0,1,0,0,1,0,0,1,0,0,0,0,1,2,0,1,0,
0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,
2,2,2,2,1,0,1,1,1,0,0,0,0,1,2,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,
1,1,2,0,1,0,0,0,1,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,2,0,0,0,0,0,1,
0,0,1,2,2,0,2,1,2,1,1,2,2,0,0,0,0,1,0,0,1,1,0,0,2,0,0,0,0,1,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,
2,2,2,0,0,0,1,0,0,0,0,0,0,2,2,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,
0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,1,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
2,2,2,0,1,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,1,0,0,0,0,0,0,0,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
)
Latin5TurkishModel = {
'char_to_order_map': Latin5_TurkishCharToOrderMap,
'precedence_matrix': TurkishLangModel,
'typical_positive_ratio': 0.970290,
'keep_english_letter': True,
'charset_name': "ISO-8859-9",
'language': 'Turkish',
}
+27 -21
View File
@@ -27,8 +27,7 @@
######################### END LICENSE BLOCK #########################
from .charsetprober import CharSetProber
from .constants import eNotMe
from .compat import wrap_ord
from .enums import ProbingState
FREQ_CAT_NUM = 4
@@ -82,7 +81,7 @@ Latin1_CharToClass = (
# 2 : normal
# 3 : very likely
Latin1ClassModel = (
# UDF OTH ASC ASS ACV ACO ASV ASO
# UDF OTH ASC ASS ACV ACO ASV ASO
0, 0, 0, 0, 0, 0, 0, 0, # UDF
0, 3, 3, 3, 3, 3, 3, 3, # OTH
0, 3, 3, 3, 3, 3, 3, 3, # ASC
@@ -96,40 +95,47 @@ Latin1ClassModel = (
class Latin1Prober(CharSetProber):
def __init__(self):
CharSetProber.__init__(self)
super(Latin1Prober, self).__init__()
self._last_char_class = None
self._freq_counter = None
self.reset()
def reset(self):
self._mLastCharClass = OTH
self._mFreqCounter = [0] * FREQ_CAT_NUM
self._last_char_class = OTH
self._freq_counter = [0] * FREQ_CAT_NUM
CharSetProber.reset(self)
def get_charset_name(self):
return "windows-1252"
@property
def charset_name(self):
return "ISO-8859-1"
def feed(self, aBuf):
aBuf = self.filter_with_english_letters(aBuf)
for c in aBuf:
charClass = Latin1_CharToClass[wrap_ord(c)]
freq = Latin1ClassModel[(self._mLastCharClass * CLASS_NUM)
+ charClass]
@property
def language(self):
return ""
def feed(self, byte_str):
byte_str = self.filter_with_english_letters(byte_str)
for c in byte_str:
char_class = Latin1_CharToClass[c]
freq = Latin1ClassModel[(self._last_char_class * CLASS_NUM)
+ char_class]
if freq == 0:
self._mState = eNotMe
self._state = ProbingState.NOT_ME
break
self._mFreqCounter[freq] += 1
self._mLastCharClass = charClass
self._freq_counter[freq] += 1
self._last_char_class = char_class
return self.get_state()
return self.state
def get_confidence(self):
if self.get_state() == eNotMe:
if self.state == ProbingState.NOT_ME:
return 0.01
total = sum(self._mFreqCounter)
total = sum(self._freq_counter)
if total < 0.01:
confidence = 0.0
else:
confidence = ((self._mFreqCounter[3] - self._mFreqCounter[1] * 20.0)
confidence = ((self._freq_counter[3] - self._freq_counter[1] * 20.0)
/ total)
if confidence < 0.0:
confidence = 0.0
+45 -42
View File
@@ -27,62 +27,65 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
import sys
from . import constants
from .charsetprober import CharSetProber
from .enums import ProbingState, MachineState
if sys.version_info >= (3, 0):
xrange = range
class MultiByteCharSetProber(CharSetProber):
def __init__(self):
CharSetProber.__init__(self)
self._mDistributionAnalyzer = None
self._mCodingSM = None
self._mLastChar = [0, 0]
"""
MultiByteCharSetProber
"""
def __init__(self, lang_filter=None):
super(MultiByteCharSetProber, self).__init__(lang_filter=lang_filter)
self.distribution_analyzer = None
self.coding_sm = None
self._last_char = [0, 0]
def reset(self):
CharSetProber.reset(self)
if self._mCodingSM:
self._mCodingSM.reset()
if self._mDistributionAnalyzer:
self._mDistributionAnalyzer.reset()
self._mLastChar = [0, 0]
super(MultiByteCharSetProber, self).reset()
if self.coding_sm:
self.coding_sm.reset()
if self.distribution_analyzer:
self.distribution_analyzer.reset()
self._last_char = [0, 0]
def get_charset_name(self):
pass
@property
def charset_name(self):
raise NotImplementedError
def feed(self, aBuf):
aLen = len(aBuf)
for i in xrange(0, aLen):
codingState = self._mCodingSM.next_state(aBuf[i])
if codingState == constants.eError:
if constants._debug:
sys.stderr.write(self.get_charset_name()
+ ' prober hit error at byte ' + str(i)
+ '\n')
self._mState = constants.eNotMe
@property
def language(self):
raise NotImplementedError
def feed(self, byte_str):
for i in range(len(byte_str)):
coding_state = self.coding_sm.next_state(byte_str[i])
if coding_state == MachineState.ERROR:
self.logger.debug('%s %s prober hit error at byte %s',
self.charset_name, self.language, i)
self._state = ProbingState.NOT_ME
break
elif codingState == constants.eItsMe:
self._mState = constants.eFoundIt
elif coding_state == MachineState.ITS_ME:
self._state = ProbingState.FOUND_IT
break
elif codingState == constants.eStart:
charLen = self._mCodingSM.get_current_charlen()
elif coding_state == MachineState.START:
char_len = self.coding_sm.get_current_charlen()
if i == 0:
self._mLastChar[1] = aBuf[0]
self._mDistributionAnalyzer.feed(self._mLastChar, charLen)
self._last_char[1] = byte_str[0]
self.distribution_analyzer.feed(self._last_char, char_len)
else:
self._mDistributionAnalyzer.feed(aBuf[i - 1:i + 1],
charLen)
self.distribution_analyzer.feed(byte_str[i - 1:i + 1],
char_len)
self._mLastChar[0] = aBuf[aLen - 1]
self._last_char[0] = byte_str[-1]
if self.get_state() == constants.eDetecting:
if (self._mDistributionAnalyzer.got_enough_data() and
(self.get_confidence() > constants.SHORTCUT_THRESHOLD)):
self._mState = constants.eFoundIt
if self.state == ProbingState.DETECTING:
if (self.distribution_analyzer.got_enough_data() and
(self.get_confidence() > self.SHORTCUT_THRESHOLD)):
self._state = ProbingState.FOUND_IT
return self.get_state()
return self.state
def get_confidence(self):
return self._mDistributionAnalyzer.get_confidence()
return self.distribution_analyzer.get_confidence()
+3 -3
View File
@@ -39,9 +39,9 @@ from .euctwprober import EUCTWProber
class MBCSGroupProber(CharSetGroupProber):
def __init__(self):
CharSetGroupProber.__init__(self)
self._mProbers = [
def __init__(self, lang_filter=None):
super(MBCSGroupProber, self).__init__(lang_filter=lang_filter)
self.probers = [
UTF8Prober(),
SJISProber(),
EUCJPProber(),
+149 -149
View File
@@ -25,11 +25,11 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from .constants import eStart, eError, eItsMe
from .enums import MachineState
# BIG5
BIG5_cls = (
BIG5_CLS = (
1,1,1,1,1,1,1,1, # 00 - 07 #allow 0x00 as legal value
1,1,1,1,1,1,0,0, # 08 - 0f
1,1,1,1,1,1,1,1, # 10 - 17
@@ -64,23 +64,23 @@ BIG5_cls = (
3,3,3,3,3,3,3,0 # f8 - ff
)
BIG5_st = (
eError,eStart,eStart, 3,eError,eError,eError,eError,#00-07
eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eError,#08-0f
eError,eStart,eStart,eStart,eStart,eStart,eStart,eStart#10-17
BIG5_ST = (
MachineState.ERROR,MachineState.START,MachineState.START, 3,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#00-07
MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,#08-0f
MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START#10-17
)
Big5CharLenTable = (0, 1, 1, 2, 0)
BIG5_CHAR_LEN_TABLE = (0, 1, 1, 2, 0)
Big5SMModel = {'classTable': BIG5_cls,
'classFactor': 5,
'stateTable': BIG5_st,
'charLenTable': Big5CharLenTable,
'name': 'Big5'}
BIG5_SM_MODEL = {'class_table': BIG5_CLS,
'class_factor': 5,
'state_table': BIG5_ST,
'char_len_table': BIG5_CHAR_LEN_TABLE,
'name': 'Big5'}
# CP949
CP949_cls = (
CP949_CLS = (
1,1,1,1,1,1,1,1, 1,1,1,1,1,1,0,0, # 00 - 0f
1,1,1,1,1,1,1,1, 1,1,1,0,1,1,1,1, # 10 - 1f
1,1,1,1,1,1,1,1, 1,1,1,1,1,1,1,1, # 20 - 2f
@@ -99,28 +99,28 @@ CP949_cls = (
2,2,2,2,2,2,2,2, 2,2,2,2,2,2,2,0, # f0 - ff
)
CP949_st = (
CP949_ST = (
#cls= 0 1 2 3 4 5 6 7 8 9 # previous state =
eError,eStart, 3,eError,eStart,eStart, 4, 5,eError, 6, # eStart
eError,eError,eError,eError,eError,eError,eError,eError,eError,eError, # eError
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe, # eItsMe
eError,eError,eStart,eStart,eError,eError,eError,eStart,eStart,eStart, # 3
eError,eError,eStart,eStart,eStart,eStart,eStart,eStart,eStart,eStart, # 4
eError,eStart,eStart,eStart,eStart,eStart,eStart,eStart,eStart,eStart, # 5
eError,eStart,eStart,eStart,eStart,eError,eError,eStart,eStart,eStart, # 6
MachineState.ERROR,MachineState.START, 3,MachineState.ERROR,MachineState.START,MachineState.START, 4, 5,MachineState.ERROR, 6, # MachineState.START
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, # MachineState.ERROR
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME, # MachineState.ITS_ME
MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START, # 3
MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START, # 4
MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START, # 5
MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START, # 6
)
CP949CharLenTable = (0, 1, 2, 0, 1, 1, 2, 2, 0, 2)
CP949_CHAR_LEN_TABLE = (0, 1, 2, 0, 1, 1, 2, 2, 0, 2)
CP949SMModel = {'classTable': CP949_cls,
'classFactor': 10,
'stateTable': CP949_st,
'charLenTable': CP949CharLenTable,
'name': 'CP949'}
CP949_SM_MODEL = {'class_table': CP949_CLS,
'class_factor': 10,
'state_table': CP949_ST,
'char_len_table': CP949_CHAR_LEN_TABLE,
'name': 'CP949'}
# EUC-JP
EUCJP_cls = (
EUCJP_CLS = (
4,4,4,4,4,4,4,4, # 00 - 07
4,4,4,4,4,4,5,5, # 08 - 0f
4,4,4,4,4,4,4,4, # 10 - 17
@@ -155,25 +155,25 @@ EUCJP_cls = (
0,0,0,0,0,0,0,5 # f8 - ff
)
EUCJP_st = (
3, 4, 3, 5,eStart,eError,eError,eError,#00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,#08-0f
eItsMe,eItsMe,eStart,eError,eStart,eError,eError,eError,#10-17
eError,eError,eStart,eError,eError,eError, 3,eError,#18-1f
3,eError,eError,eError,eStart,eStart,eStart,eStart#20-27
EUCJP_ST = (
3, 4, 3, 5,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#00-07
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,#08-0f
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.START,MachineState.ERROR,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#10-17
MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 3,MachineState.ERROR,#18-1f
3,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START#20-27
)
EUCJPCharLenTable = (2, 2, 2, 3, 1, 0)
EUCJP_CHAR_LEN_TABLE = (2, 2, 2, 3, 1, 0)
EUCJPSMModel = {'classTable': EUCJP_cls,
'classFactor': 6,
'stateTable': EUCJP_st,
'charLenTable': EUCJPCharLenTable,
'name': 'EUC-JP'}
EUCJP_SM_MODEL = {'class_table': EUCJP_CLS,
'class_factor': 6,
'state_table': EUCJP_ST,
'char_len_table': EUCJP_CHAR_LEN_TABLE,
'name': 'EUC-JP'}
# EUC-KR
EUCKR_cls = (
EUCKR_CLS = (
1,1,1,1,1,1,1,1, # 00 - 07
1,1,1,1,1,1,0,0, # 08 - 0f
1,1,1,1,1,1,1,1, # 10 - 17
@@ -208,22 +208,22 @@ EUCKR_cls = (
2,2,2,2,2,2,2,0 # f8 - ff
)
EUCKR_st = (
eError,eStart, 3,eError,eError,eError,eError,eError,#00-07
eItsMe,eItsMe,eItsMe,eItsMe,eError,eError,eStart,eStart #08-0f
EUCKR_ST = (
MachineState.ERROR,MachineState.START, 3,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#00-07
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START #08-0f
)
EUCKRCharLenTable = (0, 1, 2, 0)
EUCKR_CHAR_LEN_TABLE = (0, 1, 2, 0)
EUCKRSMModel = {'classTable': EUCKR_cls,
'classFactor': 4,
'stateTable': EUCKR_st,
'charLenTable': EUCKRCharLenTable,
EUCKR_SM_MODEL = {'class_table': EUCKR_CLS,
'class_factor': 4,
'state_table': EUCKR_ST,
'char_len_table': EUCKR_CHAR_LEN_TABLE,
'name': 'EUC-KR'}
# EUC-TW
EUCTW_cls = (
EUCTW_CLS = (
2,2,2,2,2,2,2,2, # 00 - 07
2,2,2,2,2,2,0,0, # 08 - 0f
2,2,2,2,2,2,2,2, # 10 - 17
@@ -258,26 +258,26 @@ EUCTW_cls = (
3,3,3,3,3,3,3,0 # f8 - ff
)
EUCTW_st = (
eError,eError,eStart, 3, 3, 3, 4,eError,#00-07
eError,eError,eError,eError,eError,eError,eItsMe,eItsMe,#08-0f
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eError,eStart,eError,#10-17
eStart,eStart,eStart,eError,eError,eError,eError,eError,#18-1f
5,eError,eError,eError,eStart,eError,eStart,eStart,#20-27
eStart,eError,eStart,eStart,eStart,eStart,eStart,eStart #28-2f
EUCTW_ST = (
MachineState.ERROR,MachineState.ERROR,MachineState.START, 3, 3, 3, 4,MachineState.ERROR,#00-07
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,#08-0f
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.START,MachineState.ERROR,#10-17
MachineState.START,MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#18-1f
5,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.ERROR,MachineState.START,MachineState.START,#20-27
MachineState.START,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START #28-2f
)
EUCTWCharLenTable = (0, 0, 1, 2, 2, 2, 3)
EUCTW_CHAR_LEN_TABLE = (0, 0, 1, 2, 2, 2, 3)
EUCTWSMModel = {'classTable': EUCTW_cls,
'classFactor': 7,
'stateTable': EUCTW_st,
'charLenTable': EUCTWCharLenTable,
EUCTW_SM_MODEL = {'class_table': EUCTW_CLS,
'class_factor': 7,
'state_table': EUCTW_ST,
'char_len_table': EUCTW_CHAR_LEN_TABLE,
'name': 'x-euc-tw'}
# GB2312
GB2312_cls = (
GB2312_CLS = (
1,1,1,1,1,1,1,1, # 00 - 07
1,1,1,1,1,1,0,0, # 08 - 0f
1,1,1,1,1,1,1,1, # 10 - 17
@@ -312,31 +312,31 @@ GB2312_cls = (
6,6,6,6,6,6,6,0 # f8 - ff
)
GB2312_st = (
eError,eStart,eStart,eStart,eStart,eStart, 3,eError,#00-07
eError,eError,eError,eError,eError,eError,eItsMe,eItsMe,#08-0f
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eError,eError,eStart,#10-17
4,eError,eStart,eStart,eError,eError,eError,eError,#18-1f
eError,eError, 5,eError,eError,eError,eItsMe,eError,#20-27
eError,eError,eStart,eStart,eStart,eStart,eStart,eStart #28-2f
GB2312_ST = (
MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START, 3,MachineState.ERROR,#00-07
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,#08-0f
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.START,#10-17
4,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#18-1f
MachineState.ERROR,MachineState.ERROR, 5,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,#20-27
MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.START #28-2f
)
# To be accurate, the length of class 6 can be either 2 or 4.
# But it is not necessary to discriminate between the two since
# it is used for frequency analysis only, and we are validing
# it is used for frequency analysis only, and we are validating
# each code range there as well. So it is safe to set it to be
# 2 here.
GB2312CharLenTable = (0, 1, 1, 1, 1, 1, 2)
GB2312_CHAR_LEN_TABLE = (0, 1, 1, 1, 1, 1, 2)
GB2312SMModel = {'classTable': GB2312_cls,
'classFactor': 7,
'stateTable': GB2312_st,
'charLenTable': GB2312CharLenTable,
'name': 'GB2312'}
GB2312_SM_MODEL = {'class_table': GB2312_CLS,
'class_factor': 7,
'state_table': GB2312_ST,
'char_len_table': GB2312_CHAR_LEN_TABLE,
'name': 'GB2312'}
# Shift_JIS
SJIS_cls = (
SJIS_CLS = (
1,1,1,1,1,1,1,1, # 00 - 07
1,1,1,1,1,1,0,0, # 08 - 0f
1,1,1,1,1,1,1,1, # 10 - 17
@@ -373,23 +373,23 @@ SJIS_cls = (
3,3,3,3,3,0,0,0) # f8 - ff
SJIS_st = (
eError,eStart,eStart, 3,eError,eError,eError,eError,#00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,#08-0f
eItsMe,eItsMe,eError,eError,eStart,eStart,eStart,eStart #10-17
SJIS_ST = (
MachineState.ERROR,MachineState.START,MachineState.START, 3,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#00-07
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,#08-0f
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START #10-17
)
SJISCharLenTable = (0, 1, 1, 2, 0, 0)
SJIS_CHAR_LEN_TABLE = (0, 1, 1, 2, 0, 0)
SJISSMModel = {'classTable': SJIS_cls,
'classFactor': 6,
'stateTable': SJIS_st,
'charLenTable': SJISCharLenTable,
SJIS_SM_MODEL = {'class_table': SJIS_CLS,
'class_factor': 6,
'state_table': SJIS_ST,
'char_len_table': SJIS_CHAR_LEN_TABLE,
'name': 'Shift_JIS'}
# UCS2-BE
UCS2BE_cls = (
UCS2BE_CLS = (
0,0,0,0,0,0,0,0, # 00 - 07
0,0,1,0,0,2,0,0, # 08 - 0f
0,0,0,0,0,0,0,0, # 10 - 17
@@ -424,27 +424,27 @@ UCS2BE_cls = (
0,0,0,0,0,0,4,5 # f8 - ff
)
UCS2BE_st = (
5, 7, 7,eError, 4, 3,eError,eError,#00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,#08-0f
eItsMe,eItsMe, 6, 6, 6, 6,eError,eError,#10-17
6, 6, 6, 6, 6,eItsMe, 6, 6,#18-1f
6, 6, 6, 6, 5, 7, 7,eError,#20-27
5, 8, 6, 6,eError, 6, 6, 6,#28-2f
6, 6, 6, 6,eError,eError,eStart,eStart #30-37
UCS2BE_ST = (
5, 7, 7,MachineState.ERROR, 4, 3,MachineState.ERROR,MachineState.ERROR,#00-07
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,#08-0f
MachineState.ITS_ME,MachineState.ITS_ME, 6, 6, 6, 6,MachineState.ERROR,MachineState.ERROR,#10-17
6, 6, 6, 6, 6,MachineState.ITS_ME, 6, 6,#18-1f
6, 6, 6, 6, 5, 7, 7,MachineState.ERROR,#20-27
5, 8, 6, 6,MachineState.ERROR, 6, 6, 6,#28-2f
6, 6, 6, 6,MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START #30-37
)
UCS2BECharLenTable = (2, 2, 2, 0, 2, 2)
UCS2BE_CHAR_LEN_TABLE = (2, 2, 2, 0, 2, 2)
UCS2BESMModel = {'classTable': UCS2BE_cls,
'classFactor': 6,
'stateTable': UCS2BE_st,
'charLenTable': UCS2BECharLenTable,
'name': 'UTF-16BE'}
UCS2BE_SM_MODEL = {'class_table': UCS2BE_CLS,
'class_factor': 6,
'state_table': UCS2BE_ST,
'char_len_table': UCS2BE_CHAR_LEN_TABLE,
'name': 'UTF-16BE'}
# UCS2-LE
UCS2LE_cls = (
UCS2LE_CLS = (
0,0,0,0,0,0,0,0, # 00 - 07
0,0,1,0,0,2,0,0, # 08 - 0f
0,0,0,0,0,0,0,0, # 10 - 17
@@ -479,27 +479,27 @@ UCS2LE_cls = (
0,0,0,0,0,0,4,5 # f8 - ff
)
UCS2LE_st = (
6, 6, 7, 6, 4, 3,eError,eError,#00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,#08-0f
eItsMe,eItsMe, 5, 5, 5,eError,eItsMe,eError,#10-17
5, 5, 5,eError, 5,eError, 6, 6,#18-1f
7, 6, 8, 8, 5, 5, 5,eError,#20-27
5, 5, 5,eError,eError,eError, 5, 5,#28-2f
5, 5, 5,eError, 5,eError,eStart,eStart #30-37
UCS2LE_ST = (
6, 6, 7, 6, 4, 3,MachineState.ERROR,MachineState.ERROR,#00-07
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,#08-0f
MachineState.ITS_ME,MachineState.ITS_ME, 5, 5, 5,MachineState.ERROR,MachineState.ITS_ME,MachineState.ERROR,#10-17
5, 5, 5,MachineState.ERROR, 5,MachineState.ERROR, 6, 6,#18-1f
7, 6, 8, 8, 5, 5, 5,MachineState.ERROR,#20-27
5, 5, 5,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 5, 5,#28-2f
5, 5, 5,MachineState.ERROR, 5,MachineState.ERROR,MachineState.START,MachineState.START #30-37
)
UCS2LECharLenTable = (2, 2, 2, 2, 2, 2)
UCS2LE_CHAR_LEN_TABLE = (2, 2, 2, 2, 2, 2)
UCS2LESMModel = {'classTable': UCS2LE_cls,
'classFactor': 6,
'stateTable': UCS2LE_st,
'charLenTable': UCS2LECharLenTable,
UCS2LE_SM_MODEL = {'class_table': UCS2LE_CLS,
'class_factor': 6,
'state_table': UCS2LE_ST,
'char_len_table': UCS2LE_CHAR_LEN_TABLE,
'name': 'UTF-16LE'}
# UTF-8
UTF8_cls = (
UTF8_CLS = (
1,1,1,1,1,1,1,1, # 00 - 07 #allow 0x00 as a legal value
1,1,1,1,1,1,0,0, # 08 - 0f
1,1,1,1,1,1,1,1, # 10 - 17
@@ -534,39 +534,39 @@ UTF8_cls = (
12,13,13,13,14,15,0,0 # f8 - ff
)
UTF8_st = (
eError,eStart,eError,eError,eError,eError, 12, 10,#00-07
UTF8_ST = (
MachineState.ERROR,MachineState.START,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 12, 10,#00-07
9, 11, 8, 7, 6, 5, 4, 3,#08-0f
eError,eError,eError,eError,eError,eError,eError,eError,#10-17
eError,eError,eError,eError,eError,eError,eError,eError,#18-1f
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,#20-27
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,#28-2f
eError,eError, 5, 5, 5, 5,eError,eError,#30-37
eError,eError,eError,eError,eError,eError,eError,eError,#38-3f
eError,eError,eError, 5, 5, 5,eError,eError,#40-47
eError,eError,eError,eError,eError,eError,eError,eError,#48-4f
eError,eError, 7, 7, 7, 7,eError,eError,#50-57
eError,eError,eError,eError,eError,eError,eError,eError,#58-5f
eError,eError,eError,eError, 7, 7,eError,eError,#60-67
eError,eError,eError,eError,eError,eError,eError,eError,#68-6f
eError,eError, 9, 9, 9, 9,eError,eError,#70-77
eError,eError,eError,eError,eError,eError,eError,eError,#78-7f
eError,eError,eError,eError,eError, 9,eError,eError,#80-87
eError,eError,eError,eError,eError,eError,eError,eError,#88-8f
eError,eError, 12, 12, 12, 12,eError,eError,#90-97
eError,eError,eError,eError,eError,eError,eError,eError,#98-9f
eError,eError,eError,eError,eError, 12,eError,eError,#a0-a7
eError,eError,eError,eError,eError,eError,eError,eError,#a8-af
eError,eError, 12, 12, 12,eError,eError,eError,#b0-b7
eError,eError,eError,eError,eError,eError,eError,eError,#b8-bf
eError,eError,eStart,eStart,eStart,eStart,eError,eError,#c0-c7
eError,eError,eError,eError,eError,eError,eError,eError #c8-cf
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#10-17
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#18-1f
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,#20-27
MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,MachineState.ITS_ME,#28-2f
MachineState.ERROR,MachineState.ERROR, 5, 5, 5, 5,MachineState.ERROR,MachineState.ERROR,#30-37
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#38-3f
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 5, 5, 5,MachineState.ERROR,MachineState.ERROR,#40-47
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#48-4f
MachineState.ERROR,MachineState.ERROR, 7, 7, 7, 7,MachineState.ERROR,MachineState.ERROR,#50-57
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#58-5f
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 7, 7,MachineState.ERROR,MachineState.ERROR,#60-67
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#68-6f
MachineState.ERROR,MachineState.ERROR, 9, 9, 9, 9,MachineState.ERROR,MachineState.ERROR,#70-77
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#78-7f
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 9,MachineState.ERROR,MachineState.ERROR,#80-87
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#88-8f
MachineState.ERROR,MachineState.ERROR, 12, 12, 12, 12,MachineState.ERROR,MachineState.ERROR,#90-97
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#98-9f
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR, 12,MachineState.ERROR,MachineState.ERROR,#a0-a7
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#a8-af
MachineState.ERROR,MachineState.ERROR, 12, 12, 12,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#b0-b7
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,#b8-bf
MachineState.ERROR,MachineState.ERROR,MachineState.START,MachineState.START,MachineState.START,MachineState.START,MachineState.ERROR,MachineState.ERROR,#c0-c7
MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR,MachineState.ERROR #c8-cf
)
UTF8CharLenTable = (0, 1, 0, 0, 0, 0, 2, 3, 3, 3, 4, 4, 5, 5, 6, 6)
UTF8_CHAR_LEN_TABLE = (0, 1, 0, 0, 0, 0, 2, 3, 3, 3, 4, 4, 5, 5, 6, 6)
UTF8SMModel = {'classTable': UTF8_cls,
'classFactor': 16,
'stateTable': UTF8_st,
'charLenTable': UTF8CharLenTable,
'name': 'UTF-8'}
UTF8_SM_MODEL = {'class_table': UTF8_CLS,
'class_factor': 16,
'state_table': UTF8_ST,
'char_len_table': UTF8_CHAR_LEN_TABLE,
'name': 'UTF-8'}
+81 -69
View File
@@ -26,95 +26,107 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
import sys
from . import constants
from .charsetprober import CharSetProber
from .compat import wrap_ord
SAMPLE_SIZE = 64
SB_ENOUGH_REL_THRESHOLD = 1024
POSITIVE_SHORTCUT_THRESHOLD = 0.95
NEGATIVE_SHORTCUT_THRESHOLD = 0.05
SYMBOL_CAT_ORDER = 250
NUMBER_OF_SEQ_CAT = 4
POSITIVE_CAT = NUMBER_OF_SEQ_CAT - 1
#NEGATIVE_CAT = 0
from .enums import CharacterCategory, ProbingState, SequenceLikelihood
class SingleByteCharSetProber(CharSetProber):
def __init__(self, model, reversed=False, nameProber=None):
CharSetProber.__init__(self)
self._mModel = model
SAMPLE_SIZE = 64
SB_ENOUGH_REL_THRESHOLD = 1024 # 0.25 * SAMPLE_SIZE^2
POSITIVE_SHORTCUT_THRESHOLD = 0.95
NEGATIVE_SHORTCUT_THRESHOLD = 0.05
def __init__(self, model, reversed=False, name_prober=None):
super(SingleByteCharSetProber, self).__init__()
self._model = model
# TRUE if we need to reverse every pair in the model lookup
self._mReversed = reversed
self._reversed = reversed
# Optional auxiliary prober for name decision
self._mNameProber = nameProber
self._name_prober = name_prober
self._last_order = None
self._seq_counters = None
self._total_seqs = None
self._total_char = None
self._freq_char = None
self.reset()
def reset(self):
CharSetProber.reset(self)
super(SingleByteCharSetProber, self).reset()
# char order of last character
self._mLastOrder = 255
self._mSeqCounters = [0] * NUMBER_OF_SEQ_CAT
self._mTotalSeqs = 0
self._mTotalChar = 0
self._last_order = 255
self._seq_counters = [0] * SequenceLikelihood.get_num_categories()
self._total_seqs = 0
self._total_char = 0
# characters that fall in our sampling range
self._mFreqChar = 0
self._freq_char = 0
def get_charset_name(self):
if self._mNameProber:
return self._mNameProber.get_charset_name()
@property
def charset_name(self):
if self._name_prober:
return self._name_prober.charset_name
else:
return self._mModel['charsetName']
return self._model['charset_name']
def feed(self, aBuf):
if not self._mModel['keepEnglishLetter']:
aBuf = self.filter_without_english_letters(aBuf)
aLen = len(aBuf)
if not aLen:
return self.get_state()
for c in aBuf:
order = self._mModel['charToOrderMap'][wrap_ord(c)]
if order < SYMBOL_CAT_ORDER:
self._mTotalChar += 1
if order < SAMPLE_SIZE:
self._mFreqChar += 1
if self._mLastOrder < SAMPLE_SIZE:
self._mTotalSeqs += 1
if not self._mReversed:
i = (self._mLastOrder * SAMPLE_SIZE) + order
model = self._mModel['precedenceMatrix'][i]
@property
def language(self):
if self._name_prober:
return self._name_prober.language
else:
return self._model.get('language')
def feed(self, byte_str):
if not self._model['keep_english_letter']:
byte_str = self.filter_international_words(byte_str)
if not byte_str:
return self.state
char_to_order_map = self._model['char_to_order_map']
for i, c in enumerate(byte_str):
# XXX: Order is in range 1-64, so one would think we want 0-63 here,
# but that leads to 27 more test failures than before.
order = char_to_order_map[c]
# XXX: This was SYMBOL_CAT_ORDER before, with a value of 250, but
# CharacterCategory.SYMBOL is actually 253, so we use CONTROL
# to make it closer to the original intent. The only difference
# is whether or not we count digits and control characters for
# _total_char purposes.
if order < CharacterCategory.CONTROL:
self._total_char += 1
if order < self.SAMPLE_SIZE:
self._freq_char += 1
if self._last_order < self.SAMPLE_SIZE:
self._total_seqs += 1
if not self._reversed:
i = (self._last_order * self.SAMPLE_SIZE) + order
model = self._model['precedence_matrix'][i]
else: # reverse the order of the letters in the lookup
i = (order * SAMPLE_SIZE) + self._mLastOrder
model = self._mModel['precedenceMatrix'][i]
self._mSeqCounters[model] += 1
self._mLastOrder = order
i = (order * self.SAMPLE_SIZE) + self._last_order
model = self._model['precedence_matrix'][i]
self._seq_counters[model] += 1
self._last_order = order
if self.get_state() == constants.eDetecting:
if self._mTotalSeqs > SB_ENOUGH_REL_THRESHOLD:
cf = self.get_confidence()
if cf > POSITIVE_SHORTCUT_THRESHOLD:
if constants._debug:
sys.stderr.write('%s confidence = %s, we have a'
'winner\n' %
(self._mModel['charsetName'], cf))
self._mState = constants.eFoundIt
elif cf < NEGATIVE_SHORTCUT_THRESHOLD:
if constants._debug:
sys.stderr.write('%s confidence = %s, below negative'
'shortcut threshhold %s\n' %
(self._mModel['charsetName'], cf,
NEGATIVE_SHORTCUT_THRESHOLD))
self._mState = constants.eNotMe
charset_name = self._model['charset_name']
if self.state == ProbingState.DETECTING:
if self._total_seqs > self.SB_ENOUGH_REL_THRESHOLD:
confidence = self.get_confidence()
if confidence > self.POSITIVE_SHORTCUT_THRESHOLD:
self.logger.debug('%s confidence = %s, we have a winner',
charset_name, confidence)
self._state = ProbingState.FOUND_IT
elif confidence < self.NEGATIVE_SHORTCUT_THRESHOLD:
self.logger.debug('%s confidence = %s, below negative '
'shortcut threshhold %s', charset_name,
confidence,
self.NEGATIVE_SHORTCUT_THRESHOLD)
self._state = ProbingState.NOT_ME
return self.get_state()
return self.state
def get_confidence(self):
r = 0.01
if self._mTotalSeqs > 0:
r = ((1.0 * self._mSeqCounters[POSITIVE_CAT]) / self._mTotalSeqs
/ self._mModel['mTypicalPositiveRatio'])
r = r * self._mFreqChar / self._mTotalChar
if self._total_seqs > 0:
r = ((1.0 * self._seq_counters[SequenceLikelihood.POSITIVE]) /
self._total_seqs / self._model['typical_positive_ratio'])
r = r * self._freq_char / self._total_char
if r >= 1.0:
r = 0.99
return r
+17 -13
View File
@@ -33,16 +33,17 @@ from .langcyrillicmodel import (Win1251CyrillicModel, Koi8rModel,
Ibm866Model, Ibm855Model)
from .langgreekmodel import Latin7GreekModel, Win1253GreekModel
from .langbulgarianmodel import Latin5BulgarianModel, Win1251BulgarianModel
from .langhungarianmodel import Latin2HungarianModel, Win1250HungarianModel
# from .langhungarianmodel import Latin2HungarianModel, Win1250HungarianModel
from .langthaimodel import TIS620ThaiModel
from .langhebrewmodel import Win1255HebrewModel
from .hebrewprober import HebrewProber
from .langturkishmodel import Latin5TurkishModel
class SBCSGroupProber(CharSetGroupProber):
def __init__(self):
CharSetGroupProber.__init__(self)
self._mProbers = [
super(SBCSGroupProber, self).__init__()
self.probers = [
SingleByteCharSetProber(Win1251CyrillicModel),
SingleByteCharSetProber(Koi8rModel),
SingleByteCharSetProber(Latin5CyrillicModel),
@@ -53,17 +54,20 @@ class SBCSGroupProber(CharSetGroupProber):
SingleByteCharSetProber(Win1253GreekModel),
SingleByteCharSetProber(Latin5BulgarianModel),
SingleByteCharSetProber(Win1251BulgarianModel),
SingleByteCharSetProber(Latin2HungarianModel),
SingleByteCharSetProber(Win1250HungarianModel),
# TODO: Restore Hungarian encodings (iso-8859-2 and windows-1250)
# after we retrain model.
# SingleByteCharSetProber(Latin2HungarianModel),
# SingleByteCharSetProber(Win1250HungarianModel),
SingleByteCharSetProber(TIS620ThaiModel),
SingleByteCharSetProber(Latin5TurkishModel),
]
hebrewProber = HebrewProber()
logicalHebrewProber = SingleByteCharSetProber(Win1255HebrewModel,
False, hebrewProber)
visualHebrewProber = SingleByteCharSetProber(Win1255HebrewModel, True,
hebrewProber)
hebrewProber.set_model_probers(logicalHebrewProber, visualHebrewProber)
self._mProbers.extend([hebrewProber, logicalHebrewProber,
visualHebrewProber])
hebrew_prober = HebrewProber()
logical_hebrew_prober = SingleByteCharSetProber(Win1255HebrewModel,
False, hebrew_prober)
visual_hebrew_prober = SingleByteCharSetProber(Win1255HebrewModel, True,
hebrew_prober)
hebrew_prober.set_model_probers(logical_hebrew_prober, visual_hebrew_prober)
self.probers.extend([hebrew_prober, logical_hebrew_prober,
visual_hebrew_prober])
self.reset()
+43 -44
View File
@@ -25,69 +25,68 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
import sys
from .mbcharsetprober import MultiByteCharSetProber
from .codingstatemachine import CodingStateMachine
from .chardistribution import SJISDistributionAnalysis
from .jpcntx import SJISContextAnalysis
from .mbcssm import SJISSMModel
from . import constants
from .mbcssm import SJIS_SM_MODEL
from .enums import ProbingState, MachineState
if sys.version_info >= (3, 0):
xrange = range
class SJISProber(MultiByteCharSetProber):
def __init__(self):
MultiByteCharSetProber.__init__(self)
self._mCodingSM = CodingStateMachine(SJISSMModel)
self._mDistributionAnalyzer = SJISDistributionAnalysis()
self._mContextAnalyzer = SJISContextAnalysis()
super(SJISProber, self).__init__()
self.coding_sm = CodingStateMachine(SJIS_SM_MODEL)
self.distribution_analyzer = SJISDistributionAnalysis()
self.context_analyzer = SJISContextAnalysis()
self.reset()
def reset(self):
MultiByteCharSetProber.reset(self)
self._mContextAnalyzer.reset()
super(SJISProber, self).reset()
self.context_analyzer.reset()
def get_charset_name(self):
return self._mContextAnalyzer.get_charset_name()
@property
def charset_name(self):
return self.context_analyzer.charset_name
def feed(self, aBuf):
aLen = len(aBuf)
for i in xrange(0, aLen):
codingState = self._mCodingSM.next_state(aBuf[i])
if codingState == constants.eError:
if constants._debug:
sys.stderr.write(self.get_charset_name()
+ ' prober hit error at byte ' + str(i)
+ '\n')
self._mState = constants.eNotMe
@property
def language(self):
return "Japanese"
def feed(self, byte_str):
for i in range(len(byte_str)):
coding_state = self.coding_sm.next_state(byte_str[i])
if coding_state == MachineState.ERROR:
self.logger.debug('%s %s prober hit error at byte %s',
self.charset_name, self.language, i)
self._state = ProbingState.NOT_ME
break
elif codingState == constants.eItsMe:
self._mState = constants.eFoundIt
elif coding_state == MachineState.ITS_ME:
self._state = ProbingState.FOUND_IT
break
elif codingState == constants.eStart:
charLen = self._mCodingSM.get_current_charlen()
elif coding_state == MachineState.START:
char_len = self.coding_sm.get_current_charlen()
if i == 0:
self._mLastChar[1] = aBuf[0]
self._mContextAnalyzer.feed(self._mLastChar[2 - charLen:],
charLen)
self._mDistributionAnalyzer.feed(self._mLastChar, charLen)
self._last_char[1] = byte_str[0]
self.context_analyzer.feed(self._last_char[2 - char_len:],
char_len)
self.distribution_analyzer.feed(self._last_char, char_len)
else:
self._mContextAnalyzer.feed(aBuf[i + 1 - charLen:i + 3
- charLen], charLen)
self._mDistributionAnalyzer.feed(aBuf[i - 1:i + 1],
charLen)
self.context_analyzer.feed(byte_str[i + 1 - char_len:i + 3
- char_len], char_len)
self.distribution_analyzer.feed(byte_str[i - 1:i + 1],
char_len)
self._mLastChar[0] = aBuf[aLen - 1]
self._last_char[0] = byte_str[-1]
if self.get_state() == constants.eDetecting:
if (self._mContextAnalyzer.got_enough_data() and
(self.get_confidence() > constants.SHORTCUT_THRESHOLD)):
self._mState = constants.eFoundIt
if self.state == ProbingState.DETECTING:
if (self.context_analyzer.got_enough_data() and
(self.get_confidence() > self.SHORTCUT_THRESHOLD)):
self._state = ProbingState.FOUND_IT
return self.get_state()
return self.state
def get_confidence(self):
contxtCf = self._mContextAnalyzer.get_confidence()
distribCf = self._mDistributionAnalyzer.get_confidence()
return max(contxtCf, distribCf)
context_conf = self.context_analyzer.get_confidence()
distrib_conf = self.distribution_analyzer.get_confidence()
return max(context_conf, distrib_conf)
+221 -105
View File
@@ -25,146 +25,262 @@
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
"""
Module containing the UniversalDetector detector class, which is the primary
class a user of ``chardet`` should use.
:author: Mark Pilgrim (initial port to Python)
:author: Shy Shalom (original C code)
:author: Dan Blanchard (major refactoring for 3.0)
:author: Ian Cordasco
"""
from . import constants
import sys
import codecs
from .latin1prober import Latin1Prober # windows-1252
from .mbcsgroupprober import MBCSGroupProber # multi-byte character sets
from .sbcsgroupprober import SBCSGroupProber # single-byte character sets
from .escprober import EscCharSetProber # ISO-2122, etc.
import logging
import re
MINIMUM_THRESHOLD = 0.20
ePureAscii = 0
eEscAscii = 1
eHighbyte = 2
from .charsetgroupprober import CharSetGroupProber
from .enums import InputState, LanguageFilter, ProbingState
from .escprober import EscCharSetProber
from .latin1prober import Latin1Prober
from .mbcsgroupprober import MBCSGroupProber
from .sbcsgroupprober import SBCSGroupProber
class UniversalDetector:
def __init__(self):
self._highBitDetector = re.compile(b'[\x80-\xFF]')
self._escDetector = re.compile(b'(\033|~{)')
self._mEscCharSetProber = None
self._mCharSetProbers = []
class UniversalDetector(object):
"""
The ``UniversalDetector`` class underlies the ``chardet.detect`` function
and coordinates all of the different charset probers.
To get a ``dict`` containing an encoding and its confidence, you can simply
run:
.. code::
u = UniversalDetector()
u.feed(some_bytes)
u.close()
detected = u.result
"""
MINIMUM_THRESHOLD = 0.20
HIGH_BYTE_DETECTOR = re.compile(b'[\x80-\xFF]')
ESC_DETECTOR = re.compile(b'(\033|~{)')
WIN_BYTE_DETECTOR = re.compile(b'[\x80-\x9F]')
ISO_WIN_MAP = {'iso-8859-1': 'Windows-1252',
'iso-8859-2': 'Windows-1250',
'iso-8859-5': 'Windows-1251',
'iso-8859-6': 'Windows-1256',
'iso-8859-7': 'Windows-1253',
'iso-8859-8': 'Windows-1255',
'iso-8859-9': 'Windows-1254',
'iso-8859-13': 'Windows-1257'}
def __init__(self, lang_filter=LanguageFilter.ALL):
self._esc_charset_prober = None
self._charset_probers = []
self.result = None
self.done = None
self._got_data = None
self._input_state = None
self._last_char = None
self.lang_filter = lang_filter
self.logger = logging.getLogger(__name__)
self._has_win_bytes = None
self.reset()
def reset(self):
self.result = {'encoding': None, 'confidence': 0.0}
"""
Reset the UniversalDetector and all of its probers back to their
initial states. This is called by ``__init__``, so you only need to
call this directly in between analyses of different documents.
"""
self.result = {'encoding': None, 'confidence': 0.0, 'language': None}
self.done = False
self._mStart = True
self._mGotData = False
self._mInputState = ePureAscii
self._mLastChar = b''
if self._mEscCharSetProber:
self._mEscCharSetProber.reset()
for prober in self._mCharSetProbers:
self._got_data = False
self._has_win_bytes = False
self._input_state = InputState.PURE_ASCII
self._last_char = b''
if self._esc_charset_prober:
self._esc_charset_prober.reset()
for prober in self._charset_probers:
prober.reset()
def feed(self, aBuf):
def feed(self, byte_str):
"""
Takes a chunk of a document and feeds it through all of the relevant
charset probers.
After calling ``feed``, you can check the value of the ``done``
attribute to see if you need to continue feeding the
``UniversalDetector`` more data, or if it has made a prediction
(in the ``result`` attribute).
.. note::
You should always call ``close`` when you're done feeding in your
document if ``done`` is not already ``True``.
"""
if self.done:
return
aLen = len(aBuf)
if not aLen:
if not len(byte_str):
return
if not self._mGotData:
if not isinstance(byte_str, bytearray):
byte_str = bytearray(byte_str)
# First check for known BOMs, since these are guaranteed to be correct
if not self._got_data:
# If the data starts with BOM, we know it is UTF
if aBuf[:3] == codecs.BOM_UTF8:
if byte_str.startswith(codecs.BOM_UTF8):
# EF BB BF UTF-8 with BOM
self.result = {'encoding': "UTF-8-SIG", 'confidence': 1.0}
elif aBuf[:4] == codecs.BOM_UTF32_LE:
self.result = {'encoding': "UTF-8-SIG",
'confidence': 1.0,
'language': ''}
elif byte_str.startswith((codecs.BOM_UTF32_LE,
codecs.BOM_UTF32_BE)):
# FF FE 00 00 UTF-32, little-endian BOM
self.result = {'encoding': "UTF-32LE", 'confidence': 1.0}
elif aBuf[:4] == codecs.BOM_UTF32_BE:
# 00 00 FE FF UTF-32, big-endian BOM
self.result = {'encoding': "UTF-32BE", 'confidence': 1.0}
elif aBuf[:4] == b'\xFE\xFF\x00\x00':
self.result = {'encoding': "UTF-32",
'confidence': 1.0,
'language': ''}
elif byte_str.startswith(b'\xFE\xFF\x00\x00'):
# FE FF 00 00 UCS-4, unusual octet order BOM (3412)
self.result = {
'encoding': "X-ISO-10646-UCS-4-3412",
'confidence': 1.0
}
elif aBuf[:4] == b'\x00\x00\xFF\xFE':
self.result = {'encoding': "X-ISO-10646-UCS-4-3412",
'confidence': 1.0,
'language': ''}
elif byte_str.startswith(b'\x00\x00\xFF\xFE'):
# 00 00 FF FE UCS-4, unusual octet order BOM (2143)
self.result = {
'encoding': "X-ISO-10646-UCS-4-2143",
'confidence': 1.0
}
elif aBuf[:2] == codecs.BOM_LE:
self.result = {'encoding': "X-ISO-10646-UCS-4-2143",
'confidence': 1.0,
'language': ''}
elif byte_str.startswith((codecs.BOM_LE, codecs.BOM_BE)):
# FF FE UTF-16, little endian BOM
self.result = {'encoding': "UTF-16LE", 'confidence': 1.0}
elif aBuf[:2] == codecs.BOM_BE:
# FE FF UTF-16, big endian BOM
self.result = {'encoding': "UTF-16BE", 'confidence': 1.0}
self.result = {'encoding': "UTF-16",
'confidence': 1.0,
'language': ''}
self._mGotData = True
if self.result['encoding'] and (self.result['confidence'] > 0.0):
self.done = True
return
if self._mInputState == ePureAscii:
if self._highBitDetector.search(aBuf):
self._mInputState = eHighbyte
elif ((self._mInputState == ePureAscii) and
self._escDetector.search(self._mLastChar + aBuf)):
self._mInputState = eEscAscii
self._mLastChar = aBuf[-1:]
if self._mInputState == eEscAscii:
if not self._mEscCharSetProber:
self._mEscCharSetProber = EscCharSetProber()
if self._mEscCharSetProber.feed(aBuf) == constants.eFoundIt:
self.result = {'encoding': self._mEscCharSetProber.get_charset_name(),
'confidence': self._mEscCharSetProber.get_confidence()}
self._got_data = True
if self.result['encoding'] is not None:
self.done = True
elif self._mInputState == eHighbyte:
if not self._mCharSetProbers:
self._mCharSetProbers = [MBCSGroupProber(), SBCSGroupProber(),
Latin1Prober()]
for prober in self._mCharSetProbers:
if prober.feed(aBuf) == constants.eFoundIt:
self.result = {'encoding': prober.get_charset_name(),
'confidence': prober.get_confidence()}
return
# If none of those matched and we've only see ASCII so far, check
# for high bytes and escape sequences
if self._input_state == InputState.PURE_ASCII:
if self.HIGH_BYTE_DETECTOR.search(byte_str):
self._input_state = InputState.HIGH_BYTE
elif self._input_state == InputState.PURE_ASCII and \
self.ESC_DETECTOR.search(self._last_char + byte_str):
self._input_state = InputState.ESC_ASCII
self._last_char = byte_str[-1:]
# If we've seen escape sequences, use the EscCharSetProber, which
# uses a simple state machine to check for known escape sequences in
# HZ and ISO-2022 encodings, since those are the only encodings that
# use such sequences.
if self._input_state == InputState.ESC_ASCII:
if not self._esc_charset_prober:
self._esc_charset_prober = EscCharSetProber(self.lang_filter)
if self._esc_charset_prober.feed(byte_str) == ProbingState.FOUND_IT:
self.result = {'encoding':
self._esc_charset_prober.charset_name,
'confidence':
self._esc_charset_prober.get_confidence(),
'language':
self._esc_charset_prober.language}
self.done = True
# If we've seen high bytes (i.e., those with values greater than 127),
# we need to do more complicated checks using all our multi-byte and
# single-byte probers that are left. The single-byte probers
# use character bigram distributions to determine the encoding, whereas
# the multi-byte probers use a combination of character unigram and
# bigram distributions.
elif self._input_state == InputState.HIGH_BYTE:
if not self._charset_probers:
self._charset_probers = [MBCSGroupProber(self.lang_filter)]
# If we're checking non-CJK encodings, use single-byte prober
if self.lang_filter & LanguageFilter.NON_CJK:
self._charset_probers.append(SBCSGroupProber())
self._charset_probers.append(Latin1Prober())
for prober in self._charset_probers:
if prober.feed(byte_str) == ProbingState.FOUND_IT:
self.result = {'encoding': prober.charset_name,
'confidence': prober.get_confidence(),
'language': prober.language}
self.done = True
break
if self.WIN_BYTE_DETECTOR.search(byte_str):
self._has_win_bytes = True
def close(self):
"""
Stop analyzing the current document and come up with a final
prediction.
:returns: The ``result`` attribute, a ``dict`` with the keys
`encoding`, `confidence`, and `language`.
"""
# Don't bother with checks if we're already done
if self.done:
return
if not self._mGotData:
if constants._debug:
sys.stderr.write('no data received!\n')
return
return self.result
self.done = True
if self._mInputState == ePureAscii:
self.result = {'encoding': 'ascii', 'confidence': 1.0}
return self.result
if not self._got_data:
self.logger.debug('no data received!')
if self._mInputState == eHighbyte:
proberConfidence = None
maxProberConfidence = 0.0
maxProber = None
for prober in self._mCharSetProbers:
# Default to ASCII if it is all we've seen so far
elif self._input_state == InputState.PURE_ASCII:
self.result = {'encoding': 'ascii',
'confidence': 1.0,
'language': ''}
# If we have seen non-ASCII, return the best that met MINIMUM_THRESHOLD
elif self._input_state == InputState.HIGH_BYTE:
prober_confidence = None
max_prober_confidence = 0.0
max_prober = None
for prober in self._charset_probers:
if not prober:
continue
proberConfidence = prober.get_confidence()
if proberConfidence > maxProberConfidence:
maxProberConfidence = proberConfidence
maxProber = prober
if maxProber and (maxProberConfidence > MINIMUM_THRESHOLD):
self.result = {'encoding': maxProber.get_charset_name(),
'confidence': maxProber.get_confidence()}
return self.result
prober_confidence = prober.get_confidence()
if prober_confidence > max_prober_confidence:
max_prober_confidence = prober_confidence
max_prober = prober
if max_prober and (max_prober_confidence > self.MINIMUM_THRESHOLD):
charset_name = max_prober.charset_name
lower_charset_name = max_prober.charset_name.lower()
confidence = max_prober.get_confidence()
# Use Windows encoding name instead of ISO-8859 if we saw any
# extra Windows-specific bytes
if lower_charset_name.startswith('iso-8859'):
if self._has_win_bytes:
charset_name = self.ISO_WIN_MAP.get(lower_charset_name,
charset_name)
self.result = {'encoding': charset_name,
'confidence': confidence,
'language': max_prober.language}
if constants._debug:
sys.stderr.write('no probers hit minimum threshhold\n')
for prober in self._mCharSetProbers[0].mProbers:
if not prober:
continue
sys.stderr.write('%s confidence = %s\n' %
(prober.get_charset_name(),
prober.get_confidence()))
# Log all prober confidences if none met MINIMUM_THRESHOLD
if self.logger.getEffectiveLevel() == logging.DEBUG:
if self.result['encoding'] is None:
self.logger.debug('no probers hit minimum threshold')
for group_prober in self._charset_probers:
if not group_prober:
continue
if isinstance(group_prober, CharSetGroupProber):
for prober in group_prober.probers:
self.logger.debug('%s %s confidence = %s',
prober.charset_name,
prober.language,
prober.get_confidence())
else:
self.logger.debug('%s %s confidence = %s',
prober.charset_name,
prober.language,
prober.get_confidence())
return self.result
+34 -32
View File
@@ -25,56 +25,58 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
import sys
from . import constants
from .charsetprober import CharSetProber
from .enums import ProbingState, MachineState
from .codingstatemachine import CodingStateMachine
from .mbcssm import UTF8SMModel
from .mbcssm import UTF8_SM_MODEL
if sys.version_info >= (3, 0):
xrange = range
ONE_CHAR_PROB = 0.5
class UTF8Prober(CharSetProber):
ONE_CHAR_PROB = 0.5
def __init__(self):
CharSetProber.__init__(self)
self._mCodingSM = CodingStateMachine(UTF8SMModel)
super(UTF8Prober, self).__init__()
self.coding_sm = CodingStateMachine(UTF8_SM_MODEL)
self._num_mb_chars = None
self.reset()
def reset(self):
CharSetProber.reset(self)
self._mCodingSM.reset()
self._mNumOfMBChar = 0
super(UTF8Prober, self).reset()
self.coding_sm.reset()
self._num_mb_chars = 0
def get_charset_name(self):
@property
def charset_name(self):
return "utf-8"
def feed(self, aBuf):
for c in aBuf:
codingState = self._mCodingSM.next_state(c)
if codingState == constants.eError:
self._mState = constants.eNotMe
break
elif codingState == constants.eItsMe:
self._mState = constants.eFoundIt
break
elif codingState == constants.eStart:
if self._mCodingSM.get_current_charlen() >= 2:
self._mNumOfMBChar += 1
@property
def language(self):
return ""
if self.get_state() == constants.eDetecting:
if self.get_confidence() > constants.SHORTCUT_THRESHOLD:
self._mState = constants.eFoundIt
def feed(self, byte_str):
for c in byte_str:
coding_state = self.coding_sm.next_state(c)
if coding_state == MachineState.ERROR:
self._state = ProbingState.NOT_ME
break
elif coding_state == MachineState.ITS_ME:
self._state = ProbingState.FOUND_IT
break
elif coding_state == MachineState.START:
if self.coding_sm.get_current_charlen() >= 2:
self._num_mb_chars += 1
return self.get_state()
if self.state == ProbingState.DETECTING:
if self.get_confidence() > self.SHORTCUT_THRESHOLD:
self._state = ProbingState.FOUND_IT
return self.state
def get_confidence(self):
unlike = 0.99
if self._mNumOfMBChar < 6:
for i in xrange(0, self._mNumOfMBChar):
unlike = unlike * ONE_CHAR_PROB
if self._num_mb_chars < 6:
unlike *= self.ONE_CHAR_PROB ** self._num_mb_chars
return 1.0 - unlike
else:
return unlike
+9
View File
@@ -0,0 +1,9 @@
"""
This module exists only to simplify retrieving the version number of chardet
from within setup.py and from chardet subpackages.
:author: Dan Blanchard (dan.blanchard@gmail.com)
"""
__version__ = "3.0.4"
VERSION = __version__.split('.')
+1 -1
View File
@@ -263,7 +263,7 @@ _moved_attributes = [
MovedAttribute("reduce", "__builtin__", "functools"),
MovedAttribute("shlex_quote", "pipes", "shlex", "quote"),
MovedAttribute("StringIO", "StringIO", "io"),
MovedAttribute("UserDict", "UserDict", "collections"),
MovedAttribute("UserDict", "UserDict", "collections", "IterableUserDict", "UserDict"),
MovedAttribute("UserList", "UserList", "collections"),
MovedAttribute("UserString", "UserString", "collections"),
MovedAttribute("xrange", "__builtin__", "builtins", "xrange", "range"),