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@@ -1,4 +1,4 @@
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Installing a JBIG2 encoder
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Installing the JBIG2 encoder
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==========================
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Most Linux distributions do not include a JBIG2 encoder since JBIG2 encoding was patented for a long time. All known JBIG2 US patents have expired as of 2017, but it is possible that unknown patents exist.
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@@ -13,6 +13,11 @@ Note that it is licensed under GPLv3, so scripts that ``import ocrmypdf`` and ar
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find: [^`]\#([0-9]{1,3})[^0-9]
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replace: `#$1 <https://github.com/jbarlow83/OCRmyPDF/issues/$1>`_
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v7.0.3
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------
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- Fix issue `#284 <https://github.com/jbarlow83/OCRmyPDF/issues/284>`_, an error when parsing inline images that have are also image masks, by upgrading pikepdf to 0.3.1
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v7.0.2
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------
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@@ -249,7 +249,7 @@ setup(
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install_requires=[
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'cffi >= 1.9.1', # must be a setup and install requirement
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'img2pdf >= 0.2.4, < 0.4', # pure Python, so track HEAD closely
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'pikepdf >= 0.2.2, < 0.4',
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'pikepdf >= 0.3.1, < 0.4',
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'Pillow >= 4.0.0, != 5.1.0 ; sys_platform == "darwin"',
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# Pillow < 4 has BytesIO/TIFF bug w/img2pdf 0.2.3
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# block 5.1.0, broken wheels
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@@ -24,11 +24,6 @@ import sys
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from PIL import Image
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import pikepdf
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try:
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from pikepdf import Null # pikepdf <= 0.2.2
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except ImportError:
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def Null(): # pikepdf > 0.2.2
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return None
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from ._jobcontext import JobContext
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from . import leptonica
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@@ -245,8 +240,7 @@ def transcode_jpegs(pike, jpegs, root, log, options):
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compdata = leptonica.CompressedData.open(opt_jpg)
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im_obj = pike.get_object(xref, 0)
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im_obj.write(
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compdata.read(), pikepdf.Name('/DCTDecode'),
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Null()
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compdata.read(), filter=pikepdf.Name('/DCTDecode')
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)
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@@ -286,7 +280,7 @@ def transcode_pngs(pike, pngs, root, log, options):
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if len(compdata) > int(im_obj.stream_dict.Length):
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continue # If we produced a larger image, don't use
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predictor = Null()
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predictor = None
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if compdata.predictor > 0:
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predictor = pikepdf.Dictionary({'/Predictor': compdata.predictor})
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@@ -309,7 +303,10 @@ def transcode_pngs(pike, pngs, root, log, options):
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elif compdata.spp == 4:
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cs = pikepdf.Name('/DeviceCMYK')
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im_obj.ColorSpace = cs
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im_obj.write(compdata.read(), pikepdf.Name('/FlateDecode'), predictor)
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im_obj.write(
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compdata.read(),
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filter=pikepdf.Name('/FlateDecode'), decode_parms=predictor
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)
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def optimize(
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