Rename to Kelar Keyboard (org.kelar.inputmethod.latin)

1 files changed, 0 insertions, 109 deletions

diff --git a/java/src/com/android/inputmethod/latin/utils/CombinedFormatUtils.java b/java/src/com/android/inputmethod/latin/utils/CombinedFormatUtils.java
deleted file mode 100644
index 5c0c4328f..000000000
--- a/java/src/com/android/inputmethod/latin/utils/CombinedFormatUtils.java
+++ /dev/null
@@ -1,109 +0,0 @@
-/*
- * Copyright (C) 2014 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you may not
- * use this file except in compliance with the License. You may obtain a copy of
- * the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
- * License for the specific language governing permissions and limitations under
- * the License.
- */
-
-package com.android.inputmethod.latin.utils;
-
-import com.android.inputmethod.latin.makedict.DictionaryHeader;
-import com.android.inputmethod.latin.makedict.NgramProperty;
-import com.android.inputmethod.latin.makedict.ProbabilityInfo;
-import com.android.inputmethod.latin.makedict.WordProperty;
-
-import java.util.HashMap;
-
-public class CombinedFormatUtils {
-    public static final String DICTIONARY_TAG = "dictionary";
-    public static final String BIGRAM_TAG = "bigram";
-    public static final String NGRAM_TAG = "ngram";
-    public static final String NGRAM_PREV_WORD_TAG = "prev_word";
-    public static final String PROBABILITY_TAG = "f";
-    public static final String HISTORICAL_INFO_TAG = "historicalInfo";
-    public static final String HISTORICAL_INFO_SEPARATOR = ":";
-    public static final String WORD_TAG = "word";
-    public static final String BEGINNING_OF_SENTENCE_TAG = "beginning_of_sentence";
-    public static final String NOT_A_WORD_TAG = "not_a_word";
-    public static final String POSSIBLY_OFFENSIVE_TAG = "possibly_offensive";
-    public static final String TRUE_VALUE = "true";
-
-    public static String formatAttributeMap(final HashMap<String, String> attributeMap) {
-        final StringBuilder builder = new StringBuilder();
-        builder.append(DICTIONARY_TAG + "=");
-        if (attributeMap.containsKey(DictionaryHeader.DICTIONARY_ID_KEY)) {
-            builder.append(attributeMap.get(DictionaryHeader.DICTIONARY_ID_KEY));
-        }
-        for (final String key : attributeMap.keySet()) {
-            if (key.equals(DictionaryHeader.DICTIONARY_ID_KEY)) {
-                continue;
-            }
-            final String value = attributeMap.get(key);
-            builder.append("," + key + "=" + value);
-        }
-        builder.append("\n");
-        return builder.toString();
-    }
-
-    public static String formatWordProperty(final WordProperty wordProperty) {
-        final StringBuilder builder = new StringBuilder();
-        builder.append(" " + WORD_TAG + "=" + wordProperty.mWord);
-        builder.append(",");
-        builder.append(formatProbabilityInfo(wordProperty.mProbabilityInfo));
-        if (wordProperty.mIsBeginningOfSentence) {
-            builder.append("," + BEGINNING_OF_SENTENCE_TAG + "=" + TRUE_VALUE);
-        }
-        if (wordProperty.mIsNotAWord) {
-            builder.append("," + NOT_A_WORD_TAG + "=" + TRUE_VALUE);
-        }
-        if (wordProperty.mIsPossiblyOffensive) {
-            builder.append("," + POSSIBLY_OFFENSIVE_TAG + "=" + TRUE_VALUE);
-        }
-        builder.append("\n");
-        if (wordProperty.mHasNgrams) {
-            for (final NgramProperty ngramProperty : wordProperty.mNgrams) {
-                builder.append(" " + NGRAM_TAG + "=" + ngramProperty.mTargetWord.mWord);
-                builder.append(",");
-                builder.append(formatProbabilityInfo(ngramProperty.mTargetWord.mProbabilityInfo));
-                builder.append("\n");
-                for (int i = 0; i < ngramProperty.mNgramContext.getPrevWordCount(); i++) {
-                    builder.append("  " + NGRAM_PREV_WORD_TAG + "[" + i + "]="
-                            + ngramProperty.mNgramContext.getNthPrevWord(i + 1));
-                    if (ngramProperty.mNgramContext.isNthPrevWordBeginningOfSentence(i + 1)) {
-                        builder.append("," + BEGINNING_OF_SENTENCE_TAG + "=true");
-                    }
-                    builder.append("\n");
-                }
-            }
-        }
-        return builder.toString();
-    }
-
-    public static String formatProbabilityInfo(final ProbabilityInfo probabilityInfo) {
-        final StringBuilder builder = new StringBuilder();
-        builder.append(PROBABILITY_TAG + "=" + probabilityInfo.mProbability);
-        if (probabilityInfo.hasHistoricalInfo()) {
-            builder.append(",");
-            builder.append(HISTORICAL_INFO_TAG + "=");
-            builder.append(probabilityInfo.mTimestamp);
-            builder.append(HISTORICAL_INFO_SEPARATOR);
-            builder.append(probabilityInfo.mLevel);
-            builder.append(HISTORICAL_INFO_SEPARATOR);
-            builder.append(probabilityInfo.mCount);
-        }
-        return builder.toString();
-    }
-
-    public static boolean isLiteralTrue(final String value) {
-        return TRUE_VALUE.equalsIgnoreCase(value);
-    }
-}