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Releases: Omnibus-Type/PragatiNarrow

Pragati Narrrow v.1.010: Released Candidate

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@Omnibus-Type Omnibus-Type released this 26 May 00:07

New anchors, support for half rakar consonant with nukta and more improvements

  • Nukta anchors in halfforms
  • Top and bottom anchors in basic latin
  • Top anchor for tops marks and bottom anchor for bottom marks to generate mark to mark positioning.
  • Improve some dist values relate with halfforms with rakar
  • Eliminate confilctives lines in ccmp related with the composition of qa, khha, ghha, za, nnna, fa, and llla
  • Checked non-even stem contounrs in bold
  • Inserted lookupflag IgnoreMarks; in cjct connections_devanagari lookup in order to avoid deactivation of this feature when Nukta is present.
    pragati deva latin -a3-speciment

Pragati Narrrow v.1.009: Released Candidate

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@Omnibus-Type Omnibus-Type released this 22 Apr 01:02

Now supporting of the eight forms of consonant letters

screen shot 2015-04-21 at 6 00 41 pm

  1. Basic [consonant],
  2. Nukta [consonant + nukta],
  3. Half [consonant + halant],
  4. Half Nukta [consonant + nukta + halant],
  5. Vattu [consonant + rakar],
  6. Vattu Nukta [consonant + nukta + rakar],
  7. Half Vattu [consonant + rakar + halant],
  8. Half Vattu Nukta [consonant + nukta + rakar + halant].

Pragati Narrow v1.008: Release Candidate

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@Omnibus-Type Omnibus-Type released this 14 Apr 01:11
  • Changed semantic versioning to fit name tables records

Pragati Narrow Release Candidate v1.007-beta.2

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@Omnibus-Type Omnibus-Type released this 13 Apr 23:38
  • Fixed Bold usWeightClass value
  • Removed all name tables records with platformID="1"
  • Fixed family name in all name tables records, from PragatiNarrow to Pragati Narrow
  • Updated TTFs with ttfautohint 1.3

Pragati v1.007-beta.1: Released candidate

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@Omnibus-Type Omnibus-Type released this 07 Apr 04:48

• New ueMatra anchors
• Fixed linked anchors in nukta instances
• Inserted in pres
• Separated oeMatra from the shoulder
• Fixed Rakar before halant (Half Vattu Nukta)
• Improve TTF hinting with TTF Autohint