1. 01 9月, 2012 1 次提交
  2. 31 8月, 2012 1 次提交
  3. 30 8月, 2012 5 次提交
  4. 29 8月, 2012 10 次提交
  5. 28 8月, 2012 5 次提交
  6. 27 8月, 2012 2 次提交
  7. 24 8月, 2012 12 次提交
    • B
      Remove TODO items · ec0e4637
      Behdad Esfahbod 提交于
      ec0e4637
    • B
      [graphite2] Cleanup scratch buffer allocation · 56e878ab
      Behdad Esfahbod 提交于
      56e878ab
    • B
      [icu-le] Implement icu layout engine shaper · 2f7586c6
      Behdad Esfahbod 提交于
      2f7586c6
    • B
      [icu-le] Hook up to hb_face_t · ba7f6c37
      Behdad Esfahbod 提交于
      ba7f6c37
    • B
      [icu-le] Actually use the FontTableCache · e96bb369
      Behdad Esfahbod 提交于
      e96bb369
    • B
      [icu-le] Start adding a icu-layout-engine backend · 7d242364
      Behdad Esfahbod 提交于
      Import PortableFontInstance and add shaper stub.
      7d242364
    • B
      [Indic] For old-spec, match non-zero context · b5584ee4
      Behdad Esfahbod 提交于
      Fixes consonant-position with old-spec Malayalam.  Uniscribe seem to be
      doing this.  Fixes below-base La (eg. Pa,H,La) with AnjaliNewLipi.ttf.
      Doesn't regress new-spec or other scripts.
      b5584ee4
    • B
      [GSUB] Allow non-zero-context matching in would_apply() · d9b204d3
      Behdad Esfahbod 提交于
      To be used in the next patch.
      d9b204d3
    • B
      Revert "[Indic/GSUB] Ignore context when matching would_apply()" · 1f2bb172
      Behdad Esfahbod 提交于
      This reverts commit 24dd4e56.
      
      Oops.  My bad.  The change _regressed_ Malayalam test suite, not
      improved it.  I'll redo it, differentiating between old-spec and
      new-spec cases.
      1f2bb172
    • B
      [Indic/GSUB] Ignore context when matching would_apply() · 24dd4e56
      Behdad Esfahbod 提交于
      The MS Indic specs say "...all classifications are determined ... using
      context-free substitutions."  However, testing shows that MS's Malayalam
      shapers (both old and new), "match" even if there is no zero-context rule.
      We follow.
      
      Fixes below-base La (eg. Pa,H,La) with AnjaliNewLipi.ttf (old spec).
      Moreover, test suite Malayalam failures are down to 312 from 875!  No
      change in other scripts.
      
      Current numbers:
      
      BENGALI: 353996 out of 354285 tests passed. 289 failed (0.0815727%)
      DEVANAGARI: 707339 out of 707394 tests passed. 55 failed (0.00777502%)
      GUJARATI: 366489 out of 366506 tests passed. 17 failed (0.0046384%)
      GURMUKHI: 60769 out of 60809 tests passed. 40 failed (0.0657797%)
      KANNADA: 951086 out of 951913 tests passed. 827 failed (0.0868777%)
      KHMER: 299106 out of 299124 tests passed. 18 failed (0.00601757%)
      LAO: 53611 out of 53644 tests passed. 33 failed (0.0615167%)
      MALAYALAM: 1047541 out of 1048416 tests passed. 875 failed (0.0834592%)
      ORIYA: 42320 out of 42329 tests passed. 9 failed (0.021262%)
      SINHALA: 271726 out of 271847 tests passed. 121 failed (0.0445103%)
      TAMIL: 1091837 out of 1091837 tests passed. 0 failed (0%)
      TELUGU: 970558 out of 970573 tests passed. 15 failed (0.00154548%)
      TIBETAN: 208469 out of 208469 tests passed. 0 failed (0%)
      24dd4e56
    • B
      [Indic] Implement pre-base reordering Ra for old-spec Malayalam · 6732d62e
      Behdad Esfahbod 提交于
      Fixes Pa,H,Ra sequence with AnjaliNewLipi.ttf.
      6732d62e
    • B
      [Indic] Only apply basic features per-syllable · 80cd9232
      Behdad Esfahbod 提交于
      Free up syllables and let features work across syllables for the
      presentation forms features and GPOS.
      
      Fixed:
      - 1 GURMUKHI test (remains 40)
      - 12 KHMER tests (remains 18)
      - 11 SINHALA tests (remains 121)
      
      Regresses:
      - 5 MALAYALAM tests (up to 312)
      
      Current numbers:
      
      BENGALI: 353996 out of 354285 tests passed. 289 failed (0.0815727%)
      DEVANAGARI: 707339 out of 707394 tests passed. 55 failed (0.00777502%)
      GUJARATI: 366489 out of 366506 tests passed. 17 failed (0.0046384%)
      GURMUKHI: 60769 out of 60809 tests passed. 40 failed (0.0657797%)
      KANNADA: 951086 out of 951913 tests passed. 827 failed (0.0868777%)
      KHMER: 299106 out of 299124 tests passed. 18 failed (0.00601757%)
      LAO: 53611 out of 53644 tests passed. 33 failed (0.0615167%)
      MALAYALAM: 1048104 out of 1048416 tests passed. 312 failed (0.0297592%)
      ORIYA: 42320 out of 42329 tests passed. 9 failed (0.021262%)
      SINHALA: 271726 out of 271847 tests passed. 121 failed (0.0445103%)
      TAMIL: 1091837 out of 1091837 tests passed. 0 failed (0%)
      TELUGU: 970558 out of 970573 tests passed. 15 failed (0.00154548%)
      TIBETAN: 208469 out of 208469 tests passed. 0 failed (0%)
      80cd9232
  8. 23 8月, 2012 1 次提交
  9. 19 8月, 2012 2 次提交
  10. 16 8月, 2012 1 次提交