[Git][debian-gis-team/pylibtiff][master] 5 commits: New upstream version 0.7.0
Antonio Valentino (@antonio.valentino)
gitlab at salsa.debian.org
Sat Oct 4 10:32:16 BST 2025
Antonio Valentino pushed to branch master at Debian GIS Project / pylibtiff
Commits:
10608b0c by Antonio Valentino at 2025-10-04T09:07:39+00:00
New upstream version 0.7.0
- - - - -
288f0689 by Antonio Valentino at 2025-10-04T09:07:39+00:00
Update upstream source from tag 'upstream/0.7.0'
Update to upstream version '0.7.0'
with Debian dir 884fa08b09326b69ef76d2aa108e30fa6de93492
- - - - -
6441d9c6 by Antonio Valentino at 2025-10-04T09:08:27+00:00
New upstream release
- - - - -
57cf57a4 by Antonio Valentino at 2025-10-04T09:24:03+00:00
Refresh all patches
- - - - -
3e8dcfcc by Antonio Valentino at 2025-10-04T09:26:23+00:00
Set distribution to unstable
- - - - -
21 changed files:
- .git_archival.txt
- .github/workflows/ci.yaml
- .github/workflows/deploy-sdist.yaml
- debian/changelog
- debian/patches/0001-Disable-bittools-extension.patch
- debian/patches/0002-Robust-definition-list-generation.patch
- − debian/patches/0003-Compatibility-with-numpy2.patch
- + debian/patches/0003-numpy-2.3-compat.patch
- − debian/patches/0004-numpy-2.3-compat.patch
- debian/patches/series
- libtiff/libtiff_ctypes.py
- libtiff/lsm.py
- libtiff/lzw.py
- libtiff/test_bittools.py
- libtiff/tests/test_libtiff_ctypes.py
- libtiff/tiff_file.py
- + libtiff/tiff_h_4_5_1.py
- + libtiff/tiff_h_4_7_0.py
- libtiff/tiff_image.py
- libtiff/utils.py
- pyproject.toml
Changes:
=====================================
.git_archival.txt
=====================================
@@ -1,4 +1,4 @@
-node: 689089d9e7fd03863487463a570c60966c6e74f8
-node-date: 2023-09-21T05:55:44-05:00
-describe-name: v0.6.1
-ref-names: HEAD -> master, tag: v0.6.1
+node: dca4d92070158d9d1cb3e81064254fa6634a1929
+node-date: 2025-10-01T13:48:31-05:00
+describe-name: v0.7.0
+ref-names: tag: v0.7.0
=====================================
.github/workflows/ci.yaml
=====================================
@@ -16,9 +16,9 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout source
- uses: actions/checkout at v3
+ uses: actions/checkout at v5
- name: Set up Python
- uses: actions/setup-python at v4
+ uses: actions/setup-python at v6
with:
python-version: "3.10"
- name: Install dependencies
@@ -40,7 +40,7 @@ jobs:
fail-fast: true
matrix:
os: ["windows-latest", "ubuntu-latest", "macos-latest"]
- python-version: ["3.8", "3.9", "3.10"]
+ python-version: ["3.9", "3.10", "3.11", "3.12"]
experimental: [false]
system-libtiff: [false]
include:
@@ -61,16 +61,17 @@ jobs:
steps:
- name: Checkout source
- uses: actions/checkout at v3
+ uses: actions/checkout at v5
- name: Setup Conda Environment
- uses: conda-incubator/setup-miniconda at v2
+ uses: conda-incubator/setup-miniconda at v3
with:
- miniforge-variant: Mambaforge
miniforge-version: latest
- use-mamba: true
+ conda-remove-defaults: true
+ channels: conda-forge
python-version: ${{ matrix.python-version }}
activate-environment: pylibtiff
+ channel-priority: strict
- name: Set cache environment variables
shell: bash -l {0}
@@ -79,14 +80,14 @@ jobs:
CONDA_PREFIX=$(python -c "import sys; print(sys.prefix)")
echo "CONDA_PREFIX=$CONDA_PREFIX" >> $GITHUB_ENV
- - uses: actions/cache at v3
+ - uses: actions/cache at v4
with:
path: ${{ env.CONDA_PREFIX }}
key: ${{ matrix.os }}-${{matrix.python-version}}-conda-${{ hashFiles('.conda/environment.yml') }}-${{ env.DATE }}-${{matrix.experimental}}-${{ env.CACHE_NUMBER }}
id: cache
- name: Update environment
- run: mamba env update -n pylibtiff -f .conda/environment.yml
+ run: conda env update -n pylibtiff -f .conda/environment.yml
if: steps.cache.outputs.cache-hit != 'true'
- name: Install unstable dependencies
@@ -106,7 +107,9 @@ jobs:
- name: Install system libtiff
if: matrix.system-libtiff == true
shell: bash -l {0}
- run: sudo apt-get install -y libtiff-dev
+ run: |
+ sudo apt-get update
+ sudo apt-get install -y libtiff-dev
- name: Install conda libtiff
if: matrix.system-libtiff == false
@@ -116,13 +119,13 @@ jobs:
- name: Install pylibtiff
shell: bash -l {0}
run: |
- python -m pip install --no-deps -e .
+ python -m pip install --no-deps -v -e .
- name: Run unit tests
shell: bash -l {0}
run: |
export LD_PRELOAD=${{ env.LD_PRELOAD }};
- pytest --cov=libtiff libtiff/tests
+ pytest -s --cov=libtiff libtiff/tests
- name: Coveralls Parallel
uses: AndreMiras/coveralls-python-action at develop
=====================================
.github/workflows/deploy-sdist.yaml
=====================================
@@ -11,7 +11,7 @@ jobs:
steps:
- name: Checkout source
- uses: actions/checkout at v3
+ uses: actions/checkout at v5
- name: Create sdist
shell: bash -l {0}
@@ -21,7 +21,7 @@ jobs:
- name: Publish package to PyPI
if: github.event.action == 'published'
- uses: pypa/gh-action-pypi-publish at v1.8.10
+ uses: pypa/gh-action-pypi-publish at v1.13.0
with:
user: __token__
password: ${{ secrets.pypi_password }}
=====================================
debian/changelog
=====================================
@@ -1,10 +1,16 @@
-pylibtiff (0.6.1-4) UNRELEASED; urgency=medium
+pylibtiff (0.7.0-1) unstable; urgency=medium
- * Team upload.
+ [ Bas Couwenberg ]
* Update lintian overrides.
* Drop Rules-Requires-Root: no, default since dpkg 1.22.13.
- -- Bas Couwenberg <sebastic at debian.org> Fri, 12 Sep 2025 17:45:20 +0200
+ [ Antonio Valentino ]
+ * New upstream release.
+ * debian/patches:
+ - Drop 0003-Compatibility-with-numpy2.patch.
+ - Refresh and renumber remaining patches.
+
+ -- Antonio Valentino <antonio.valentino at tiscali.it> Sat, 04 Oct 2025 09:26:05 +0000
pylibtiff (0.6.1-3) unstable; urgency=medium
=====================================
debian/patches/0001-Disable-bittools-extension.patch
=====================================
@@ -8,7 +8,7 @@ Forwarded: not-needed
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/libtiff/lzw.py b/libtiff/lzw.py
-index 60dceba..64f2561 100644
+index a703f25..e2e0459 100644
--- a/libtiff/lzw.py
+++ b/libtiff/lzw.py
@@ -7,7 +7,7 @@ This module is obsolete, use tif_lzw extension module instead.
=====================================
debian/patches/0002-Robust-definition-list-generation.patch
=====================================
@@ -8,10 +8,10 @@ Forwarded: not-needed
1 file changed, 7 insertions(+), 6 deletions(-)
diff --git a/libtiff/libtiff_ctypes.py b/libtiff/libtiff_ctypes.py
-index 4928646..5202747 100644
+index 5f15e15..0761782 100644
--- a/libtiff/libtiff_ctypes.py
+++ b/libtiff/libtiff_ctypes.py
-@@ -148,12 +148,13 @@ if tiff_h is None:
+@@ -158,12 +158,13 @@ if tiff_h is None:
lst.append('%s = %s' % (name, value))
f.close()
=====================================
debian/patches/0003-Compatibility-with-numpy2.patch deleted
=====================================
@@ -1,93 +0,0 @@
-From: Antonio Valentino <antonio.valentino at tiscali.it>
-Date: Tue, 28 Jan 2025 07:25:47 +0000
-Subject: Compatibility with numpy2
-
-Forwarded: https://github.com/pearu/pylibtiff/pull/186
----
- libtiff/libtiff_ctypes.py | 16 ++++++++--------
- libtiff/test_bittools.py | 4 +++-
- libtiff/tiff_image.py | 2 +-
- libtiff/utils.py | 1 +
- 4 files changed, 13 insertions(+), 10 deletions(-)
-
-diff --git a/libtiff/libtiff_ctypes.py b/libtiff/libtiff_ctypes.py
-index 5202747..c776846 100644
---- a/libtiff/libtiff_ctypes.py
-+++ b/libtiff/libtiff_ctypes.py
-@@ -659,13 +659,13 @@ class TIFF(ctypes.c_void_p):
- compression = self._fix_compression(compression)
-
- arr = np.ascontiguousarray(arr)
-- if arr.dtype in np.sctypes['float']:
-+ if np.issubdtype(arr.dtype, np.floating):
- sample_format = SAMPLEFORMAT_IEEEFP
-- elif arr.dtype in np.sctypes['uint'] + [np.bool_]:
-+ elif np.issubdtype(arr.dtype, np.unsignedinteger) or np.issubdtype(arr.dtype, np.bool_):
- sample_format = SAMPLEFORMAT_UINT
-- elif arr.dtype in np.sctypes['int']:
-+ elif np.issubdtype(arr.dtype, np.signedinteger):
- sample_format = SAMPLEFORMAT_INT
-- elif arr.dtype in np.sctypes['complex']:
-+ elif np.issubdtype(arr.dtype, np.complexfloating):
- sample_format = SAMPLEFORMAT_COMPLEXIEEEFP
- else:
- raise NotImplementedError(repr(arr.dtype))
-@@ -746,13 +746,13 @@ class TIFF(ctypes.c_void_p):
- compression=None, write_rgb=False):
- compression = self._fix_compression(compression)
-
-- if arr.dtype in np.sctypes['float']:
-+ if np.issubdtype(arr.dtype, np.floating):
- sample_format = SAMPLEFORMAT_IEEEFP
-- elif arr.dtype in np.sctypes['uint'] + [np.bool_]:
-+ elif np.issubdtype(arr.dtype, np.unsignedinteger) or np.issubdtype(arr.dtype, np.bool_):
- sample_format = SAMPLEFORMAT_UINT
-- elif arr.dtype in np.sctypes['int']:
-+ elif np.issubdtype(arr.dtype, np.signedinteger):
- sample_format = SAMPLEFORMAT_INT
-- elif arr.dtype in np.sctypes['complex']:
-+ elif np.issubdtype(arr.dtype, np.complexfloating):
- sample_format = SAMPLEFORMAT_COMPLEXIEEEFP
- else:
- raise NotImplementedError(repr(arr.dtype))
-diff --git a/libtiff/test_bittools.py b/libtiff/test_bittools.py
-index a173525..c6cba41 100644
---- a/libtiff/test_bittools.py
-+++ b/libtiff/test_bittools.py
-@@ -19,8 +19,10 @@ def test_setgetbit():
-
-
- def test_setgetword():
-+ arange = numpy.arange(-256, 256)
- for dtype in [numpy.ubyte, numpy.int32, numpy.float64]:
-- arr = numpy.array(list(range(-256, 256)), dtype=dtype)
-+ # arr = numpy.array(list(range(-256, 256)), dtype=dtype)
-+ arr = arange.astype(dtype)
- arr2 = numpy.zeros(arr.shape, dtype=arr.dtype)
- for i in range(arr.nbytes):
- word, next = bittools.getword(arr, i * 8, 8)
-diff --git a/libtiff/tiff_image.py b/libtiff/tiff_image.py
-index 717370a..8e31d0e 100644
---- a/libtiff/tiff_image.py
-+++ b/libtiff/tiff_image.py
-@@ -437,7 +437,7 @@ class TIFFimage:
-
- if compressed_data_size != image_data_size:
- sdiff = image_data_size - compressed_data_size
-- total_size -= sdiff
-+ total_size = int(total_size) - sdiff
- base = tif._mmap
- if base is None:
- base = tif.base
-diff --git a/libtiff/utils.py b/libtiff/utils.py
-index 7fcfde4..d11d785 100644
---- a/libtiff/utils.py
-+++ b/libtiff/utils.py
-@@ -19,6 +19,7 @@ def isindisk(path):
-
- def bytes2str(bytes):
- lst = []
-+ bytes = int(bytes)
- Pbytes = bytes // 1024**5
- if Pbytes:
- lst.append('%sPi' % (Pbytes))
=====================================
debian/patches/0003-numpy-2.3-compat.patch
=====================================
@@ -0,0 +1,22 @@
+From: Antonio Valentino <antonio.valentino at tiscali.it>
+Date: Wed, 10 Sep 2025 06:35:50 +0000
+Subject: numpy-2.3-compat
+
+Forwarded: https://github.com/pearu/pylibtiff/pull/195
+---
+ libtiff/scripts/convert.py | 2 +-
+ 1 file changed, 1 insertion(+), 1 deletion(-)
+
+diff --git a/libtiff/scripts/convert.py b/libtiff/scripts/convert.py
+index 8ed37ff..574747d 100644
+--- a/libtiff/scripts/convert.py
++++ b/libtiff/scripts/convert.py
+@@ -51,7 +51,7 @@ def runner(parser, options, args):
+ for ifd in tiff.IFD:
+ s = ifd.get('ImageDescription')
+ if s is not None:
+- description.append(s.value.tostring())
++ description.append(s.value.tobytes())
+ init_description = '\n'.join(description)
+ samples_list, names_list = tiff.get_samples()
+ while samples_list:
=====================================
debian/patches/0004-numpy-2.3-compat.patch deleted
=====================================
@@ -1,67 +0,0 @@
-From: Antonio Valentino <antonio.valentino at tiscali.it>
-Date: Wed, 10 Sep 2025 06:35:50 +0000
-Subject: numpy-2.3-compat
-
----
- libtiff/lzw.py | 4 ++--
- libtiff/scripts/convert.py | 2 +-
- libtiff/tiff_file.py | 4 ++--
- 3 files changed, 5 insertions(+), 5 deletions(-)
-
-diff --git a/libtiff/lzw.py b/libtiff/lzw.py
-index 64f2561..e2e0459 100644
---- a/libtiff/lzw.py
-+++ b/libtiff/lzw.py
-@@ -39,7 +39,7 @@ def encode_bitarray(seq, max_bits=12):
- decode_bitarray
- """
- if isinstance(seq, numpy.ndarray):
-- seq = seq.tostring()
-+ seq = seq.tobytes()
- r = bitarray(0, endian='little')
- write = r.fromword
-
-@@ -105,7 +105,7 @@ def encode_bittools(seq, max_bits=12):
- """
- if isinstance(seq, numpy.ndarray):
- nbytes = seq.nbytes * 2
-- seq = seq.tostring()
-+ seq = seq.tobytes()
- else:
- nbytes = len(seq) * 2
- r = numpy.zeros((nbytes,), dtype=numpy.ubyte)
-diff --git a/libtiff/scripts/convert.py b/libtiff/scripts/convert.py
-index 8ed37ff..574747d 100644
---- a/libtiff/scripts/convert.py
-+++ b/libtiff/scripts/convert.py
-@@ -51,7 +51,7 @@ def runner(parser, options, args):
- for ifd in tiff.IFD:
- s = ifd.get('ImageDescription')
- if s is not None:
-- description.append(s.value.tostring())
-+ description.append(s.value.tobytes())
- init_description = '\n'.join(description)
- samples_list, names_list = tiff.get_samples()
- while samples_list:
-diff --git a/libtiff/tiff_file.py b/libtiff/tiff_file.py
-index 347fb63..a38b597 100644
---- a/libtiff/tiff_file.py
-+++ b/libtiff/tiff_file.py
-@@ -247,7 +247,7 @@ class TIFFfile(TiffBase):
- while self.data[offset + i]:
- i += 1
- length = i
-- string = self.get_values(offset, 'BYTE', length).tostring()
-+ string = self.get_values(offset, 'BYTE', length).tobytes()
- return string
-
- def check_memory_usage(self, verbose=True):
-@@ -792,7 +792,7 @@ class IFD:
- 'DocumentName', 'Model', 'Make', 'PageName',
- 'DateTime', 'Artist', 'HostComputer']:
- if value is not None:
-- return value.view('|S{!s}'.format(str(value.nbytes // value.size))).tostring()
-+ return value.view('|S{!s}'.format(str(value.nbytes // value.size))).tobytes()
- if human:
- if tag_name == 'Compression':
- value = {1: 'Uncompressed', 2: 'CCITT1D', 3: 'Group3Fax',
=====================================
debian/patches/series
=====================================
@@ -1,4 +1,3 @@
0001-Disable-bittools-extension.patch
0002-Robust-definition-list-generation.patch
-0003-Compatibility-with-numpy2.patch
-0004-numpy-2.3-compat.patch
+0003-numpy-2.3-compat.patch
=====================================
libtiff/libtiff_ctypes.py
=====================================
@@ -16,12 +16,22 @@ import ctypes
import ctypes.util
import struct
import collections
+import locale
+import warnings
__all__ = ['libtiff', 'TIFF']
cwd = os.getcwd()
try:
- os.chdir(os.path.dirname(__file__))
+ try:
+ # Typically, on Windows, the CWD is among the folders searched to locate
+ # a DLL. So change it to the directory containing this module, in case
+ # the libtiff DLL was installed aside it (although that's not typically the case).
+ os.chdir(os.path.dirname(__file__))
+ except FileNotFoundError:
+ # If "frozen" (ie, embedded in an executable), the directory is not real, and chdir fails
+ # => just ignore (and look for the DLL in all the other standard locations)
+ pass
if os.name == 'nt':
# assume that the directory of the libtiff DLL is in PATH.
for lib in ('tiff', 'libtiff', 'libtiff3'):
@@ -227,6 +237,11 @@ class c_thandle_t(ctypes.c_void_p):
# types defined for creating custom tags
FIELD_CUSTOM = 65
+# Special values for field_readcount & field_writecount
+TIFF_VARIABLE = -1 # The length is variable, this number is passed as an uint16
+TIFFTAG_SPP = -2 # There are as many values as defined in TIFFTAG_SAMPLESPERPIXEL
+TIFF_VARIABLE2 = -3 # The length is variable, this number is passed as an uint32
+
class TIFFDataType(object):
"""Place holder for the enum in C.
@@ -287,8 +302,8 @@ class TIFFFieldInfo(ctypes.Structure):
"""
typedef struct {
ttag_t field_tag; /* field's tag */
- short field_readcount; /* read count/TIFF_VARIABLE/TIFF_SPP */
- short field_writecount; /* write count/TIFF_VARIABLE */
+ short field_readcount; /* read count/TIFF_VARIABLE/TIFF_VARIABLE2/TIFF_SPP */
+ short field_writecount; /* write count/TIFF_VARIABLE/TIFF_VARIABLE2*/
TIFFDataType field_type; /* type of associated data */
unsigned short field_bit; /* bit in fieldsset bit vector */
unsigned char field_oktochange; /* if true, can change while writing */
@@ -336,23 +351,74 @@ class TIFFExtender(object):
def add_tags(tag_list):
+ """
+ Adds support for reading and writing custom tags.
+
+ Parameters
+ ----------
+ tag_list: List of TIFFFieldInfo.
+ The definitions of each new tags to support, as defined by libtiff.
+
+ Returns
+ -------
+ TIFFExtender: the new function that will be used by libtiff to support
+ the new custom tags.
+ """
tag_list_array = (TIFFFieldInfo * len(tag_list))(*tag_list)
for field_info in tag_list_array:
- _name = "TIFFTAG_" + str(field_info.field_name).upper()
- globals()[_name] = field_info.field_tag
- if field_info.field_writecount > 1 and field_info.field_type != \
- TIFFDataType.TIFF_ASCII:
- tifftags[field_info.field_tag] = (
- ttype2ctype[
- field_info.field_type] * field_info.field_writecount,
- lambda _d: _d.contents[:])
- else:
- tifftags[field_info.field_tag] = (
- ttype2ctype[field_info.field_type], lambda _d: _d.value)
+ tifftags[field_info.field_tag] = _field_info_to_tifftag(field_info)
+
+ name = "TIFFTAG_" + field_info.field_name.decode("ascii").upper()
+ globals()[name] = field_info.field_tag
return TIFFExtender(tag_list_array)
+def _field_info_to_tifftag(field_info):
+ """
+ Creates an entry for tifftags based on a field_info.
+
+ Parameters
+ ----------
+ field_info: TIFFFieldInfo
+ The definition of the new tag.
+
+ Returns
+ -------
+ Tuple with: C type of the data (or tuple of C types for the count and data,
+ if it's a variable length field), and a function to convert from the C
+ type to a python type.
+ """
+ data_t = ttype2ctype[field_info.field_type]
+ convert_c_to_py = lambda d: d.value
+
+ # Note: typically field_readcount == field_writecount
+ if field_info.field_readcount != field_info.field_writecount:
+ warnings.warn(f"Unsupported readcount != writecount "
+ f"({field_info.field_readcount} != {field_info.field_writecount})")
+ # Let's be optimistic and assume it'll work as-is
+
+ # Handle arrays (except for ASCII arrays aka C strings, because they are automatically handled)
+ if (field_info.field_readcount != 1
+ and field_info.field_type != TIFFDataType.TIFF_ASCII
+ ):
+ if field_info.field_readcount > 1:
+ data_t = data_t * field_info.field_readcount
+ convert_c_to_py = lambda d: d.contents[:]
+ elif field_info.field_readcount in (TIFF_VARIABLE, TIFF_VARIABLE2):
+ if field_info.field_readcount == TIFF_VARIABLE:
+ count_t = ctypes.c_uint16
+ else:
+ count_t = ctypes.c_uint32
+ data_t = (count_t, data_t)
+ convert_c_to_py = lambda d: d[1][:d[0]]
+ else:
+ warnings.warn(f"Unsupported readcount {field_info.field_readcount}")
+ # Let's be optimistic and assume the standard behaviour will work
+
+ return (data_t, convert_c_to_py)
+
+
tifftags = {
# TODO:
@@ -416,7 +482,7 @@ tifftags = {
TIFFTAG_BITSPERSAMPLE: (ctypes.c_uint16, lambda _d: _d.value),
TIFFTAG_CLEANFAXDATA: (ctypes.c_uint16, lambda _d: _d.value),
TIFFTAG_COMPRESSION: (ctypes.c_uint16, lambda _d: _d.value),
- TIFFTAG_DATATYPE: (ctypes.c_uint16, lambda _d: _d.value),
+ TIFFTAG_DATATYPE: (ctypes.c_uint16, lambda _d: _d.value), # Obsolete tag replaced by SampleFormat
TIFFTAG_FILLORDER: (ctypes.c_uint16, lambda _d: _d.value),
TIFFTAG_INKSET: (ctypes.c_uint16, lambda _d: _d.value),
TIFFTAG_MATTEING: (ctypes.c_uint16, lambda _d: _d.value),
@@ -432,6 +498,7 @@ tifftags = {
lambda d: d[1][:d[0]]), # uint16*, uint16** count & types array
TIFFTAG_SAMPLEFORMAT: (ctypes.c_uint16, lambda _d: _d.value),
TIFFTAG_YCBCRPOSITIONING: (ctypes.c_uint16, lambda _d: _d.value),
+ TIFFTAG_THRESHHOLDING: (ctypes.c_uint16, lambda _d: _d.value),
TIFFTAG_JPEGQUALITY: (ctypes.c_int, lambda _d: _d.value),
TIFFTAG_JPEGCOLORMODE: (ctypes.c_int, lambda _d: _d.value),
@@ -523,21 +590,34 @@ class TIFF(ctypes.c_void_p):
@classmethod
def open(cls, filename, mode='r'):
""" Open tiff file as TIFF.
+
+ Parameters
+ ----------
+ filename: path-like object (str, bytes, or Path)
+ The path to the file.
+ mode: str
+ Specifies if the file is to be opened for reading ('r'), writing ('w'),
+ or appending ('a'). Optional flags can be passed. See the documentation
+ of TIFFOpen() for the complete list.
"""
- try:
+ filename = os.fspath(filename)
+
+ if isinstance(filename, str) and hasattr(libtiff, "TIFFOpenW"):
+ # On Windows, the only reliable way to open a file with unicode characters
+ # is to use the *W function.
+ # It needs a str for the argument of type "c_wchar_p"
+ tiff = libtiff.TIFFOpenW(filename, mode.encode('ascii'))
+ else:
+ # It needs bytes for the argument of type "c_char_p"
try:
- # Python3: it needs bytes for the arguments of type "c_char_p"
filename = os.fsencode(filename) # no-op if already bytes
- except AttributeError:
- # Python2: it needs str for the arguments of type "c_char_p"
- if isinstance(filename, unicode): # noqa: F821
- filename = filename.encode(sys.getfilesystemencoding())
- except Exception as ex:
- # It's probably going to not work, but let it try
- print('Warning: filename argument is of wrong type or encoding: %s'
- % ex)
-
- tiff = libtiff.TIFFOpen(filename, mode.encode('ascii'))
+ except UnicodeError as ex:
+ # It's probably not going to work, but let's try
+ warnings.warn(f"Warning: filename argument is of wrong type or "
+ f"encoding for the filesystem: {ex}")
+
+ tiff = libtiff.TIFFOpen(filename, mode.encode('ascii'))
+
if tiff.value is None:
raise TypeError('Failed to open file ' + repr(filename))
return tiff
@@ -658,13 +738,13 @@ class TIFF(ctypes.c_void_p):
compression = self._fix_compression(compression)
arr = np.ascontiguousarray(arr)
- if arr.dtype in np.sctypes['float']:
+ if np.issubdtype(arr.dtype, np.floating):
sample_format = SAMPLEFORMAT_IEEEFP
- elif arr.dtype in np.sctypes['uint'] + [np.bool_]:
+ elif np.issubdtype(arr.dtype, np.unsignedinteger) or np.issubdtype(arr.dtype, np.bool_):
sample_format = SAMPLEFORMAT_UINT
- elif arr.dtype in np.sctypes['int']:
+ elif np.issubdtype(arr.dtype, np.signedinteger):
sample_format = SAMPLEFORMAT_INT
- elif arr.dtype in np.sctypes['complex']:
+ elif np.issubdtype(arr.dtype, np.complexfloating):
sample_format = SAMPLEFORMAT_COMPLEXIEEEFP
else:
raise NotImplementedError(repr(arr.dtype))
@@ -745,13 +825,13 @@ class TIFF(ctypes.c_void_p):
compression=None, write_rgb=False):
compression = self._fix_compression(compression)
- if arr.dtype in np.sctypes['float']:
+ if np.issubdtype(arr.dtype, np.floating):
sample_format = SAMPLEFORMAT_IEEEFP
- elif arr.dtype in np.sctypes['uint'] + [np.bool_]:
+ elif np.issubdtype(arr.dtype, np.unsignedinteger) or np.issubdtype(arr.dtype, np.bool_):
sample_format = SAMPLEFORMAT_UINT
- elif arr.dtype in np.sctypes['int']:
+ elif np.issubdtype(arr.dtype, np.signedinteger):
sample_format = SAMPLEFORMAT_INT
- elif arr.dtype in np.sctypes['complex']:
+ elif np.issubdtype(arr.dtype, np.complexfloating):
sample_format = SAMPLEFORMAT_COMPLEXIEEEFP
else:
raise NotImplementedError(repr(arr.dtype))
@@ -1358,17 +1438,19 @@ class TIFF(ctypes.c_void_p):
tag can be numeric constant TIFFTAG_<tagname> or a
string containing <tagname>.
"""
+ # Special trick to read extra metadata as text in the ImageDescription
if tag in ['PixelSizeX', 'PixelSizeY', 'RelativeTime']:
descr = self.GetField('ImageDescription')
if not descr:
return
- _i = descr.find(tag)
+ _i = descr.find(tag.encode("ascii"))
if _i == -1:
return
_value = eval(descr[_i + len(tag):].lstrip().split()[0])
return _value
+
if isinstance(tag, str):
- tag = eval('TIFFTAG_' + tag.upper())
+ tag = globals()['TIFFTAG_' + tag.upper()]
t = tifftags.get(tag)
if t is None:
if not ignore_undefined_tag:
@@ -1447,7 +1529,7 @@ class TIFF(ctypes.c_void_p):
print("Warning: count argument is deprecated")
if isinstance(tag, str):
- tag = eval('TIFFTAG_' + tag.upper())
+ tag = globals()['TIFFTAG_' + tag.upper()]
t = tifftags.get(tag)
if t is None:
print('Warning: no tag %r defined' % tag)
@@ -1502,6 +1584,9 @@ class TIFF(ctypes.c_void_p):
else:
data = data_type(_value)
+ if issubclass(data_type, ctypes._SimpleCData) and isinstance(data.value, int):
+ data = data.value
+
if count_type is None:
r = libtiff.TIFFSetField(self, c_ttag_t(tag), data)
else:
@@ -1586,7 +1671,8 @@ class TIFF(ctypes.c_void_p):
orig_value = self.GetField(define)
if orig_value is None and define not in define_rewrite:
continue
- if _name.endswith('OFFSETS') or _name.endswith('BYTECOUNTS'):
+ if (_name.endswith('OFFSETS') or _name.endswith('BYTECOUNTS')
+ or define == TIFFTAG_DATATYPE): # old version of SampleFormat
continue
if define in define_rewrite:
_value = define_rewrite[define]
@@ -1644,36 +1730,18 @@ class TIFF3D(TIFF):
def open(cls, filename, mode='r'):
""" just like TIFF.open, except returns a TIFF3D instance.
"""
- try:
- try:
- # Python3: it needs bytes for the arguments of type "c_char_p"
- filename = os.fsencode(filename) # no-op if already bytes
- except AttributeError:
- # Python2: it needs str for the arguments of type "c_char_p"
- if isinstance(filename, unicode): # noqa: F821
- filename = filename.encode(sys.getfilesystemencoding())
- except Exception as ex:
- # It's probably going to not work, but let it try
- print('Warning: filename argument is of wrong type or encoding: %s'
- % ex)
- if isinstance(mode, str):
- mode = mode.encode()
-
# monkey-patch the restype:
- old_restype = libtiff.TIFFOpen.restype
libtiff.TIFFOpen.restype = TIFF3D
+ if hasattr(libtiff, "TIFFOpenW"):
+ libtiff.TIFFOpenW.restype = TIFF3D
+
try:
- # actually call the library function:
- tiff = libtiff.TIFFOpen(filename, mode)
- except Exception:
- raise
+ return super().open(filename, mode)
finally:
# restore the old restype:
- libtiff.TIFFOpen.restype = old_restype
-
- if tiff.value is None:
- raise TypeError('Failed to open file ' + repr(filename))
- return tiff
+ libtiff.TIFFOpen.restype = TIFF
+ if hasattr(libtiff, "TIFFOpenW"):
+ libtiff.TIFFOpenW.restype = TIFF
@debug
def read_image(self, verbose=False, as3d=True):
@@ -1782,6 +1850,10 @@ class CZ_LSMInfo:
libtiff.TIFFOpen.restype = TIFF
libtiff.TIFFOpen.argtypes = [ctypes.c_char_p, ctypes.c_char_p]
+if hasattr(libtiff, "TIFFOpenW"): # Windows-only
+ libtiff.TIFFOpenW.restype = TIFF
+ libtiff.TIFFOpenW.argtypes = [ctypes.c_wchar_p, ctypes.c_char_p]
+
libtiff.TIFFFileName.restype = ctypes.c_char_p
libtiff.TIFFFileName.argtypes = [TIFF]
@@ -1835,8 +1907,13 @@ libtiff.TIFFIsMSB2LSB.argtypes = [TIFF]
# GetField and SetField arguments are dependent on the tag
libtiff.TIFFGetField.restype = ctypes.c_int
+libtiff.TIFFGetField.argtypes = [TIFF, ctypes.c_uint32]
+
+libtiff.TIFFGetFieldDefaulted.restype = ctypes.c_int
+libtiff.TIFFGetFieldDefaulted.argtypes = [TIFF, ctypes.c_uint32]
libtiff.TIFFSetField.restype = ctypes.c_int
+libtiff.TIFFSetField.argtypes = [TIFF, ctypes.c_uint32]
libtiff.TIFFNumberOfStrips.restype = c_tstrip_t
libtiff.TIFFNumberOfStrips.argtypes = [TIFF]
@@ -1951,600 +2028,3 @@ def suppress_warnings():
def suppress_errors():
libtiff.TIFFSetErrorHandler(_null_error_handler)
-
-
-def _test_custom_tags():
- def _tag_write():
- a = TIFF.open("/tmp/libtiff_test_custom_tags.tif", "w")
-
- a.SetField("ARTIST", "MY NAME")
- a.SetField("LibtiffTestByte", 42)
- a.SetField("LibtiffTeststr", "FAKE")
- a.SetField("LibtiffTestuint16", 42)
- a.SetField("LibtiffTestMultiuint32", (1, 2, 3, 4, 5, 6, 7, 8, 9, 10))
- a.SetField("XPOSITION", 42.0)
- a.SetField("PRIMARYCHROMATICITIES", (1.0, 2, 3, 4, 5, 6))
-
- arr = np.ones((512, 512), dtype=np.uint8)
- arr[:, :] = 255
- a.write_image(arr)
-
- print("Tag Write: SUCCESS")
-
- def _tag_read():
- a = TIFF.open("/tmp/libtiff_test_custom_tags.tif", "r")
-
- tmp = a.read_image()
- assert tmp.shape == (
- 512,
- 512), "Image read was wrong shape (%r instead of (512,512))" % (
- tmp.shape,)
- tmp = a.GetField("XPOSITION")
- assert tmp == 42.0, "XPosition was not read as 42.0"
- tmp = a.GetField("ARTIST")
- assert tmp == "MY NAME", "Artist was not read as 'MY NAME'"
- tmp = a.GetField("LibtiffTestByte")
- assert tmp == 42, "LibtiffTestbyte was not read as 42"
- tmp = a.GetField("LibtiffTestuint16")
- assert tmp == 42, "LibtiffTestuint16 was not read as 42"
- tmp = a.GetField("LibtiffTestMultiuint32")
- assert tmp == [1, 2, 3, 4, 5, 6, 7, 8, 9,
- 10], "LibtiffTestMultiuint32 was not read as [1,2,3," \
- "4,5,6,7,8,9,10]"
- tmp = a.GetField("LibtiffTeststr")
- assert tmp == "FAKE", "LibtiffTeststr was not read as 'FAKE'"
- tmp = a.GetField("PRIMARYCHROMATICITIES")
- assert tmp == [1.0, 2.0, 3.0, 4.0, 5.0,
- 6.0], "PrimaryChromaticities was not read as [1.0," \
- "2.0,3.0,4.0,5.0,6.0]"
- print("Tag Read: SUCCESS")
-
- # Define a C structure that says how each tag should be used
- test_tags = [
- TIFFFieldInfo(40100, 1, 1, TIFFDataType.TIFF_BYTE, FIELD_CUSTOM, True,
- False, "LibtiffTestByte"),
- TIFFFieldInfo(40103, 10, 10, TIFFDataType.TIFF_LONG, FIELD_CUSTOM,
- True, False, "LibtiffTestMultiuint32"),
- TIFFFieldInfo(40102, 1, 1, TIFFDataType.TIFF_SHORT, FIELD_CUSTOM, True,
- False, "LibtiffTestuint16"),
- TIFFFieldInfo(40101, -1, -1, TIFFDataType.TIFF_ASCII, FIELD_CUSTOM,
- True, False, "LibtiffTeststr")
- ]
-
- # Add tags to the libtiff library
- # Keep pointer to extender object, no gc:
- test_extender = add_tags(test_tags) # noqa: F841
- _tag_write()
- _tag_read()
-
-
-def _test_tile_write():
- a = TIFF.open("/tmp/libtiff_test_tile_write.tiff", "w")
-
- data_array = np.tile(list(range(500)), (1, 6)).astype(np.uint8)
- a.SetField("TileWidth", 512)
- a.SetField("TileLength", 528)
- # tile_width and tile_height is not set, write_tiles get these values from
- # TileWidth and TileLength tags
- assert a.write_tiles(data_array) == (512 * 528) * 6,\
- "could not write tile images" # 1D
- print("Tile Write: Wrote array of shape %r" % (data_array.shape,))
-
- # 2D Arrays
- data_array = np.tile(list(range(500)), (2500, 6)).astype(np.uint8)
- assert a.write_tiles(data_array, 512, 528) == (512 * 528) * 5 * 6,\
- "could not write tile images" # 2D
- print("Tile Write: Wrote array of shape %r" % (data_array.shape,))
-
- # 3D Arrays, 3rd dimension as last dimension
- data_array = np.array(range(2500 * 3000 * 3)).reshape(
- 2500, 3000, 3).astype(np.uint8)
- assert a.write_tiles(data_array, 512, 528, None, True) \
- == (512 * 528) * 5 * 6 * 3,\
- "could not write tile images" # 3D
- print("Tile Write: Wrote array of shape %r" % (data_array.shape,))
-
- # 3D Arrays, 3rd dimension as first dimension
- data_array = np.array(range(2500 * 3000 * 3)).reshape(
- 3, 2500, 3000).astype(np.uint8)
- assert a.write_tiles(data_array, 512, 528, None, True)\
- == (512 * 528) * 5 * 6 * 3,\
- "could not write tile images" # 3D
- print("Tile Write: Wrote array of shape %r" % (data_array.shape,))
-
- # Grayscale image with 3 depths
- data_array = np.array(range(2500 * 3000 * 3)).reshape(
- 3, 2500, 3000).astype(np.uint8)
- written_bytes = a.write_tiles(data_array, 512, 528)
- assert written_bytes == 512 * 528 * 5 * 6 * 3,\
- "could not write tile images, written_bytes: %s" % (written_bytes,)
- print("Tile Write: Wrote array of shape %r" % (data_array.shape,))
-
- print("Tile Write: SUCCESS")
-
-
-def _test_tile_read(filename="/tmp/libtiff_test_tile_write.tiff"):
- import sys
- if filename is None:
- if len(sys.argv) != 2:
- print("Run `libtiff.py <filename>` for testing.")
- return
- filename = sys.argv[1]
-
- a = TIFF.open(filename, "r")
-
- # 1D Arrays (doesn't make much sense to tile)
- a.SetDirectory(0)
- # expected tag values for the first image
- tags = [
- {"tag": "ImageWidth", "exp_value": 3000},
- {"tag": "ImageLength", "exp_value": 1},
- {"tag": "TileWidth", "exp_value": 512},
- {"tag": "TileLength", "exp_value": 528},
- {"tag": "BitsPerSample", "exp_value": 8},
- {"tag": "Compression", "exp_value": 1},
- ]
-
- # assert tag values
- for tag in tags:
- field_value = a.GetField(tag['tag'])
- assert field_value == tag['exp_value'],\
- repr((tag['tag'], tag['exp_value'], field_value))
-
- data_array = a.read_tiles()
- print("Tile Read: Read array of shape %r" % (data_array.shape,))
- assert data_array.shape == (1, 3000), "tile data read was the wrong shape"
- test_array = np.array(list(range(500)) * 6).astype(np.uint8).flatten()
- assert np.nonzero(data_array.flatten() != test_array)[0].shape[0] == 0,\
- "tile data read was not the same as the expected data"
- print("Tile Read: Data is the same as expected from tile write test")
-
- # 2D Arrays (doesn't make much sense to tile)
- a.SetDirectory(1)
- # expected tag values for the second image
- tags = [
- {"tag": "ImageWidth", "exp_value": 3000},
- {"tag": "ImageLength", "exp_value": 2500},
- {"tag": "TileWidth", "exp_value": 512},
- {"tag": "TileLength", "exp_value": 528},
- {"tag": "BitsPerSample", "exp_value": 8},
- {"tag": "Compression", "exp_value": 1},
- ]
-
- # assert tag values
- for tag in tags:
- field_value = a.GetField(tag['tag'])
- assert field_value == tag['exp_value'],\
- repr((tag['tag'], tag['exp_value'], field_value))
-
- data_array = a.read_tiles()
- print("Tile Read: Read array of shape %r" % (data_array.shape,))
- assert data_array.shape == (2500, 3000),\
- "tile data read was the wrong shape"
- test_array = np.tile(list(range(500)),
- (2500, 6)).astype(np.uint8).flatten()
- assert np.nonzero(data_array.flatten() != test_array)[0].shape[0] == 0,\
- "tile data read was not the same as the expected data"
- print("Tile Read: Data is the same as expected from tile write test")
-
- # 3D Arrays, 3rd dimension as last dimension
- a.SetDirectory(2)
- # expected tag values for the third image
- tags = [
- {"tag": "ImageWidth", "exp_value": 3000},
- {"tag": "ImageLength", "exp_value": 2500},
- {"tag": "TileWidth", "exp_value": 512},
- {"tag": "TileLength", "exp_value": 528},
- {"tag": "BitsPerSample", "exp_value": 8},
- {"tag": "Compression", "exp_value": 1},
- ]
-
- # assert tag values
- for tag in tags:
- field_value = a.GetField(tag['tag'])
- assert field_value == tag['exp_value'],\
- repr(tag['tag'], tag['exp_value'], field_value)
-
- data_array = a.read_tiles()
- print("Tile Read: Read array of shape %r" % (data_array.shape,))
- assert data_array.shape == (2500, 3000, 3),\
- "tile data read was the wrong shape"
- test_array = np.array(range(2500 * 3000 * 3)).reshape(
- 2500, 3000, 3).astype(np.uint8).flatten()
- assert np.nonzero(data_array.flatten() != test_array)[0].shape[0] == 0,\
- "tile data read was not the same as the expected data"
- print("Tile Read: Data is the same as expected from tile write test")
-
- # 3D Arrays, 3rd dimension as first dimension
- a.SetDirectory(3)
- # expected tag values for the third image
- tags = [
- {"tag": "ImageWidth", "exp_value": 3000},
- {"tag": "ImageLength", "exp_value": 2500},
- {"tag": "TileWidth", "exp_value": 512},
- {"tag": "TileLength", "exp_value": 528},
- {"tag": "BitsPerSample", "exp_value": 8},
- {"tag": "Compression", "exp_value": 1},
- ]
-
- # assert tag values
- for tag in tags:
- field_value = a.GetField(tag['tag'])
- assert field_value == tag['exp_value'],\
- repr(tag['tag'], tag['exp_value'], field_value)
-
- data_array = a.read_tiles()
- print("Tile Read: Read array of shape %r" % (data_array.shape,))
- assert data_array.shape == (3, 2500, 3000),\
- "tile data read was the wrong shape"
- test_array = np.array(range(2500 * 3000 * 3)).reshape(
- 3, 2500, 3000).astype(np.uint8).flatten()
- assert np.nonzero(data_array.flatten() != test_array)[0].shape[0] == 0,\
- "tile data read was not the same as the expected data"
- print("Tile Read: Data is the same as expected from tile write test")
-
- # Grayscale image with 3 depths
- a.SetDirectory(4)
-
- # expected tag values for the third image
- tags = [
- {"tag": "ImageWidth", "exp_value": 3000},
- {"tag": "ImageLength", "exp_value": 2500},
- {"tag": "TileWidth", "exp_value": 512},
- {"tag": "TileLength", "exp_value": 528},
- {"tag": "BitsPerSample", "exp_value": 8},
- {"tag": "Compression", "exp_value": 1},
- {"tag": "ImageDepth", "exp_value": 3}
- ]
-
- # assert tag values
- for tag in tags:
- field_value = a.GetField(tag['tag'])
- assert field_value == tag['exp_value'],\
- repr([tag['tag'], tag['exp_value'], field_value])
-
- data_array = a.read_tiles()
- print("Tile Read: Read array of shape %r" % (data_array.shape,))
- assert data_array.shape == (3, 2500, 3000),\
- "tile data read was the wrong shape"
- test_array = np.array(range(2500 * 3000 * 3)).reshape(
- 3, 2500, 3000).astype(np.uint8).flatten()
- assert np.nonzero(data_array.flatten() != test_array)[0].shape[0] == 0,\
- "tile data read was not the same as the expected data"
- print("Tile Read: Data is the same as expected from tile write test")
-
- print("Tile Read: SUCCESS")
-
-
-def _test_read_one_tile():
- filename = "/tmp/libtiff_test_tile_write.tiff"
- tiff = TIFF.open(filename, "r")
-
- # the first image is 1 pixel high
- tile = tiff.read_one_tile(0, 0)
- assert tile.shape == (1, 512), repr(tile.shape)
-
- # second image, 3000 x 2500
- tiff.SetDirectory(1)
- tile = tiff.read_one_tile(0, 0)
- assert tile.shape == (528, 512), repr(tile.shape)
-
- tile = tiff.read_one_tile(512, 528)
- assert tile.shape == (528, 512), repr(tile.shape)
-
- # test tile on the right border
- tile = tiff.read_one_tile(2560, 528)
- assert tile.shape == (528, 440), repr(tile.shape)
-
- # test tile on the bottom border
- tile = tiff.read_one_tile(512, 2112)
- assert tile.shape == (388, 512), repr(tile.shape)
-
- # test tile on the right and bottom borders
- tile = tiff.read_one_tile(2560, 2112)
- assert tile.shape == (388, 440), repr(tile.shape)
-
- # test x and y values not multiples of the tile width and height
- tile = tiff.read_one_tile(530, 600)
- assert tile[0][0] == 12, tile[0][0]
-
- # test negative x
- try:
- tiff.read_one_tile(-5, 0)
- raise AssertionError(
- "An exception must be raised with invalid (x, y) values")
- except ValueError as inst:
- assert inst.message == "Invalid x value", repr(inst.message)
-
- # test y greater than the image height
- try:
- tiff.read_one_tile(0, 5000)
- raise AssertionError(
- "An exception must be raised with invalid (x, y) values")
- except ValueError as inst:
- assert inst.message == "Invalid y value", repr(inst.message)
-
- # RGB image sized 3000 x 2500, PLANARCONFIG_SEPARATE
- tiff.SetDirectory(3)
- tile = tiff.read_one_tile(0, 0)
- assert tile.shape == (3, 528, 512), repr(tile.shape)
- # get the tile on the lower bottom corner
- tile = tiff.read_one_tile(2999, 2499)
- assert tile.shape == (3, 388, 440), repr(tile.shape)
-
- # Grayscale image sized 3000 x 2500, 3 depths
- tiff.SetDirectory(4)
- tile = tiff.read_one_tile(0, 0)
- assert tile.shape == (3, 528, 512), repr(tile.shape)
- # get the tile on the lower bottom corner
- tile = tiff.read_one_tile(2999, 2499)
- assert tile.shape == (3, 388, 440), repr(tile.shape)
-
-
-def _test_tiled_image_read(filename="/tmp/libtiff_test_tile_write.tiff"):
- """
- Tests opening a tiled image
- """
-
- def assert_image_tag(tiff, tag_name, expected_value):
- value = tiff.GetField(tag_name)
- assert value == expected_value,\
- ('%s expected to be %d, but it\'s %d'
- % (tag_name, expected_value, value))
-
- # _test_tile_write is called here just to make sure that the image
- # is saved, even if the order of the tests changed
- _test_tile_write()
- tiff = TIFF.open(filename, "r")
-
- # sets the current image to the second image
- tiff.SetDirectory(1)
- # test tag values
- assert_image_tag(tiff, 'ImageWidth', 3000)
- assert_image_tag(tiff, 'ImageLength', 2500)
- assert_image_tag(tiff, 'TileWidth', 512)
- assert_image_tag(tiff, 'TileLength', 528)
- assert_image_tag(tiff, 'BitsPerSample', 8)
- assert_image_tag(tiff, 'Compression', COMPRESSION_NONE) # noqa: F821
-
- # read the image to a NumPy array
- arr = tiff.read_image()
- # test image NumPy array dimensions
- assert arr.shape[0] == 2500, \
- 'Image width expected to be 2500, but it\'s %d' % (arr.shape[0])
- assert arr.shape[1] == 3000, \
- 'Image height expected to be 3000, but it\'s %d' % (arr.shape[1])
-
- # generates the same array that was generated for the image
- data_array = np.array(list(range(500)) * 6).astype(np.uint8)
- # tests if the array from the read image is the same of the original image
- assert (data_array == arr).all(), \
- 'The read tiled image is different from the generated image'
-
-
-def _test_tags_write():
- tiff = TIFF.open('/tmp/libtiff_tags_write.tiff', mode='w')
- tmp = tiff.SetField("Artist", "A Name")
- assert tmp == 1, "Tag 'Artist' was not written properly"
- tmp = tiff.SetField("DocumentName", "")
- assert tmp == 1, "Tag 'DocumentName' with empty string was not written " \
- "properly"
- tmp = tiff.SetField("PrimaryChromaticities", [1, 2, 3, 4, 5, 6])
- assert tmp == 1, "Tag 'PrimaryChromaticities' was not written properly"
- tmp = tiff.SetField("BitsPerSample", 8)
- assert tmp == 1, "Tag 'BitsPerSample' was not written properly"
- tmp = tiff.SetField("ColorMap", [[x * 256 for x in range(256)]] * 3)
- assert tmp == 1, "Tag 'ColorMap' was not written properly"
-
- arr = np.zeros((100, 100), np.uint8)
- tiff.write_image(arr)
-
- print("Tag Write: SUCCESS")
-
-
-def _test_tags_read(filename=None):
- import sys
- if filename is None:
- if len(sys.argv) != 2:
- filename = '/tmp/libtiff_tags_write.tiff'
- if not os.path.isfile(filename):
- print('Run `%s <filename>` for testing.' % (__file__))
- return
- else:
- filename = sys.argv[1]
- tiff = TIFF.open(filename)
- tmp = tiff.GetField("Artist")
- assert tmp == "A Name", "Tag 'Artist' did not read the correct value (" \
- "Got '%s'; Expected 'A Name')" % (tmp,)
- tmp = tiff.GetField("DocumentName")
- assert tmp == "", "Tag 'DocumentName' did not read the correct value (" \
- "Got '%s'; Expected empty string)" % (tmp,)
- tmp = tiff.GetField("PrimaryChromaticities")
- assert tmp == [1, 2, 3, 4, 5,
- 6], "Tag 'PrimaryChromaticities' did not read the " \
- "correct value (Got '%r'; Expected '[1,2,3,4,5,6]'" % (
- tmp,)
- tmp = tiff.GetField("BitsPerSample")
- assert tmp == 8, "Tag 'BitsPerSample' did not read the correct value (" \
- "Got %s; Expected 8)" % (str(tmp),)
- tmp = tiff.GetField("ColorMap")
- try:
- assert len(
- tmp) == 3, "Tag 'ColorMap' should be three arrays, found %d" % \
- len(tmp)
- assert len(tmp[
- 0]) == 256, "Tag 'ColorMap' should be three arrays " \
- "of 256 elements, found %d elements" % \
- len(tmp[0])
- assert len(tmp[
- 1]) == 256, "Tag 'ColorMap' should be three arrays " \
- "of 256 elements, found %d elements" % \
- len(tmp[1])
- assert len(tmp[
- 2]) == 256, "Tag 'ColorMap' should be three arrays " \
- "of 256 elements, found %d elements" % \
- len(tmp[2])
- except TypeError:
- print(
- "Tag 'ColorMap' has the wrong shape of 3 arrays of 256 elements "
- "each")
- return
-
- print("Tag Read: SUCCESS")
-
-
-def _test_read(filename=None):
- import sys
- import time
- if filename is None:
- if len(sys.argv) != 2:
- filename = '/tmp/libtiff_test_write.tiff'
- if not os.path.isfile(filename):
- print('Run `libtiff.py <filename>` for testing.')
- return
- else:
- filename = sys.argv[1]
- print('Trying to open', filename, '...', end=' ')
- tiff = TIFF.open(filename)
- print('ok')
- print('Trying to show info ...\n', '-' * 10)
- print(tiff.info())
- print('-' * 10, 'ok')
- print('Trying show images ...')
- t = time.time()
- _i = 0
- for image in tiff.iter_images(verbose=True):
- # print image.min(), image.max(), image.mean ()
- _i += 1
- print('\tok', (time.time() - t) * 1e3, 'ms', _i, 'images')
-
-
-def _test_write():
- tiff = TIFF.open('/tmp/libtiff_test_write.tiff', mode='w')
- arr = np.zeros((5, 6), np.uint32)
- for _i in range(arr.shape[0]):
- for j in range(arr.shape[1]):
- arr[_i, j] = _i + 10 * j
- print(arr)
- tiff.write_image(arr)
- del tiff
-
-
-def _test_write_float():
- tiff = TIFF.open('/tmp/libtiff_test_write.tiff', mode='w')
- arr = np.zeros((5, 6), np.float64)
- for _i in range(arr.shape[0]):
- for j in range(arr.shape[1]):
- arr[_i, j] = _i + 10 * j
- print(arr)
- tiff.write_image(arr)
- del tiff
-
- tiff = TIFF.open('/tmp/libtiff_test_write.tiff', mode='r')
- print(tiff.info())
- arr2 = tiff.read_image()
- print(arr2)
-
-
-def _test_write_rgba():
- tiff = TIFF.open('/tmp/libtiff_test_write.tiff', mode='w')
- arr = np.zeros((5, 6, 4), np.uint8)
- for i in np.ndindex(*arr.shape):
- arr[i] = 20 * i[0] + 10 * i[1] + i[2]
- print(arr)
- tiff.write_image(arr, write_rgb=True)
- del tiff
-
- tiff = TIFF.open('/tmp/libtiff_test_write.tiff', mode='r')
- print(tiff.info())
- arr2 = tiff.read_image()
- print(arr2)
-
- np.testing.assert_array_equal(arr, arr2)
-
-
-def _test_tree():
- # Write a TIFF image with the following tree structure:
- # Im0 --SubIFD--> Im0,1 ---> Im0,2 ---> Im0,3
- # |
- # V
- # Im1
- tiff = TIFF.open('/tmp/libtiff_test_write.tiff', mode='w')
- arr = np.zeros((5, 6), np.uint32)
- for i in np.ndindex(*arr.shape):
- arr[i] = i[0] + 20 * i[1]
- print(arr)
- n = 3
- tiff.SetField("SubIFD", [0] * n)
- tiff.write_image(arr)
- for i in range(n):
- arr[0, 0] = i
- tiff.write_image(arr)
-
- arr[0, 0] = 255
- tiff.write_image(arr)
- del tiff
-
- tiff = TIFF.open('/tmp/libtiff_test_write.tiff', mode='r')
- print(tiff.info())
- n = 0
- for im in tiff.iter_images(verbose=True):
- print(im)
- n += 1
-
- assert n == 2
-
-
-def _test_copy():
- tiff = TIFF.open('/tmp/libtiff_test_compression.tiff', mode='w')
- arr = np.zeros((5, 6), np.uint32)
- for _i in range(arr.shape[0]):
- for j in range(arr.shape[1]):
- arr[_i, j] = 1 + _i + 10 * j
- # from scipy.stats import poisson
- # arr = poisson.rvs (arr)
- tiff.SetField('ImageDescription', 'Hey\nyou')
- tiff.write_image(arr, compression='lzw')
- del tiff
-
- tiff = TIFF.open('/tmp/libtiff_test_compression.tiff', mode='r')
- print(tiff.info())
- arr2 = tiff.read_image()
-
- assert (arr == arr2).all(), 'arrays not equal'
-
- for compression in ['none', 'lzw', 'deflate']:
- for sampleformat in ['int', 'uint', 'float']:
- for bitspersample in [256, 128, 64, 32, 16, 8]:
- if sampleformat == 'float' and (
- bitspersample < 32 or bitspersample > 128):
- continue
- if sampleformat in ['int', 'uint'] and bitspersample > 64:
- continue
- # print compression, sampleformat, bitspersample
- tiff.copy('/tmp/libtiff_test_copy2.tiff',
- compression=compression,
- imagedescription='hoo',
- sampleformat=sampleformat,
- bitspersample=bitspersample)
- tiff2 = TIFF.open('/tmp/libtiff_test_copy2.tiff', mode='r')
- arr3 = tiff2.read_image()
- assert (arr == arr3).all(), 'arrays not equal %r' % (
- (compression, sampleformat, bitspersample),)
- print('test copy ok')
-
-
-if __name__ == '__main__':
- _test_custom_tags()
- _test_tile_write()
- _test_tile_read()
- _test_read_one_tile()
- _test_tiled_image_read()
- _test_tags_write()
- _test_tags_read()
- _test_write_float()
- _test_write_rgba()
- _test_tree()
- _test_write()
- _test_read()
- _test_copy()
=====================================
libtiff/lsm.py
=====================================
@@ -34,7 +34,6 @@ def IFDEntry_lsm_str_hook(entry):
def IFDEntry_lsm_init_hook(ifdentry):
"""Make tiff.IFDENTRYEntry CZ_LSM aware.
"""
- global tiff_module_dict
if ifdentry.tag == CZ_LSMInfo_tag:
# replace type,count=(BYTE,500) with (CZ_LSMInfo, 1)
reserved_bytes = (ifdentry.count - CZ_LSMInfo_dtype_fields_size)
=====================================
libtiff/lzw.py
=====================================
@@ -39,7 +39,7 @@ def encode_bitarray(seq, max_bits=12):
decode_bitarray
"""
if isinstance(seq, numpy.ndarray):
- seq = seq.tostring()
+ seq = seq.tobytes()
r = bitarray(0, endian='little')
write = r.fromword
@@ -105,7 +105,7 @@ def encode_bittools(seq, max_bits=12):
"""
if isinstance(seq, numpy.ndarray):
nbytes = seq.nbytes * 2
- seq = seq.tostring()
+ seq = seq.tobytes()
else:
nbytes = len(seq) * 2
r = numpy.zeros((nbytes,), dtype=numpy.ubyte)
=====================================
libtiff/test_bittools.py
=====================================
@@ -19,8 +19,10 @@ def test_setgetbit():
def test_setgetword():
+ arange = numpy.arange(-256, 256)
for dtype in [numpy.ubyte, numpy.int32, numpy.float64]:
- arr = numpy.array(list(range(-256, 256)), dtype=dtype)
+ # arr = numpy.array(list(range(-256, 256)), dtype=dtype)
+ arr = arange.astype(dtype)
arr2 = numpy.zeros(arr.shape, dtype=arr.dtype)
for i in range(arr.nbytes):
word, next = bittools.getword(arr, i * 8, 8)
=====================================
libtiff/tests/test_libtiff_ctypes.py
=====================================
@@ -1,5 +1,7 @@
-import pytest
+import ctypes
import numpy as np
+import pytest
+import time
from libtiff import TIFFimage
lt = pytest.importorskip('libtiff.libtiff_ctypes')
@@ -14,3 +16,901 @@ def test_issue69(tmp_path):
del tif
tif = lt.TIFF3D.open(fn)
tif.close()
+
+
+# Hold the extenders created, as dereferencing any of them could cause a crash
+extenders = []
+
+
+def test_custom_tags(tmp_path):
+ def _tag_write():
+ a = lt.TIFF.open(tmp_path / "libtiff_test_custom_tags.tif", "w")
+
+ a.SetField("ARTIST", b"MY NAME")
+ a.SetField("LibtiffTestByte", 42)
+ a.SetField("LibtiffTeststr", b"FAKE")
+ a.SetField("LibtiffTestuint16", 42)
+ a.SetField("LibtiffTestMultiuint32", (1, 2, 3, 4, 5, 6, 7, 8, 9, 10))
+ a.SetField("LibtiffTestBytes", [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
+ a.SetField("XPOSITION", 42.0)
+ a.SetField("PRIMARYCHROMATICITIES", (1.0, 2, 3, 4, 5, 6))
+
+ arr = np.ones((512, 512), dtype=np.uint8)
+ arr[:, :] = 255
+ a.write_image(arr)
+
+ print("Tag Write: SUCCESS")
+
+ def _tag_read():
+ a = lt.TIFF.open(tmp_path / "libtiff_test_custom_tags.tif", "r")
+
+ tmp = a.read_image()
+ assert tmp.shape == (512, 512), \
+ "Image read was wrong shape (%r instead of (512,512))" % (tmp.shape,)
+ tmp = a.GetField("XPOSITION")
+ assert tmp == 42.0, "XPosition was not read as 42.0"
+ tmp = a.GetField("ARTIST")
+ assert tmp == b"MY NAME", "Artist was not read as 'MY NAME'"
+ tmp = a.GetField("LibtiffTestByte")
+ assert tmp == 42, "LibtiffTestbyte was not read as 42"
+ tmp = a.GetField("LibtiffTestuint16")
+ assert tmp == 42, "LibtiffTestuint16 was not read as 42"
+ tmp = a.GetField("LibtiffTestMultiuint32")
+ assert tmp == [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], \
+ "LibtiffTestMultiuint32 was not read as [1,2,3,4,5,6,7,8,9,10]"
+ tmp = a.GetField("LibtiffTeststr")
+ assert tmp == b"FAKE", "LibtiffTeststr was not read as 'FAKE'"
+ tmp = a.GetField("LibtiffTestBytes")
+ assert tmp == [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+ tmp = a.GetField("PRIMARYCHROMATICITIES")
+ assert tmp == [1.0, 2.0, 3.0, 4.0, 5.0, 6.0], \
+ "PrimaryChromaticities was not read as [1.0,2.0,3.0,4.0,5.0,6.0]"
+ print("Tag Read: SUCCESS")
+
+ # Define a C structure that says how each tag should be used
+ test_tags = [
+ lt.TIFFFieldInfo(40100, 1, 1, lt.TIFFDataType.TIFF_BYTE, lt.FIELD_CUSTOM,
+ True, False, b"LibtiffTestByte"),
+ lt.TIFFFieldInfo(40103, 10, 10, lt.TIFFDataType.TIFF_LONG, lt.FIELD_CUSTOM,
+ True, False, b"LibtiffTestMultiuint32"),
+ lt.TIFFFieldInfo(40102, 1, 1, lt.TIFFDataType.TIFF_SHORT, lt.FIELD_CUSTOM,
+ True, False, b"LibtiffTestuint16"),
+ lt.TIFFFieldInfo(40101, -1, -1, lt.TIFFDataType.TIFF_ASCII, lt.FIELD_CUSTOM,
+ True, False, b"LibtiffTeststr"),
+ lt.TIFFFieldInfo(40104, lt.TIFF_VARIABLE2, lt.TIFF_VARIABLE2, lt.TIFFDataType.TIFF_BYTE,
+ lt.FIELD_CUSTOM, True, True, b"LibtiffTestBytes"),
+ ]
+
+ # Add tags to the libtiff library
+ # Keep pointer to extender object, no gc:
+ test_extender = lt.add_tags(test_tags) # noqa: F841
+ extenders.append(test_extender)
+ _tag_write()
+ _tag_read()
+
+
+def test_tile_write(tmp_path):
+ a = lt.TIFF.open(tmp_path / "libtiff_test_tile_write.tiff", "w")
+
+ data_array = np.tile(list(range(500)), (1, 6)).astype(np.uint8)
+ a.SetField("TileWidth", 512)
+ a.SetField("TileLength", 528)
+ # tile_width and tile_height is not set, write_tiles get these values from
+ # TileWidth and TileLength tags
+ assert a.write_tiles(data_array) == (512 * 528) * 6, "could not write tile images" # 1D
+ print("Tile Write: Wrote array of shape %r" % (data_array.shape,))
+
+ # 2D Arrays
+ data_array = np.tile(list(range(500)), (2500, 6)).astype(np.uint8)
+ assert a.write_tiles(data_array, 512, 528) == (512 * 528) * 5 * 6, \
+ "could not write tile images" # 2D
+ print("Tile Write: Wrote array of shape %r" % (data_array.shape,))
+
+ # 3D Arrays, 3rd dimension as last dimension
+ data_array = np.array(range(2500 * 3000 * 3))
+ data_array = data_array.reshape(2500, 3000, 3).astype(np.uint8)
+ assert a.write_tiles(data_array, 512, 528, None, True) == (512 * 528) * 5 * 6 * 3, \
+ "could not write tile images" # 3D
+ print("Tile Write: Wrote array of shape %r" % (data_array.shape,))
+
+ # 3D Arrays, 3rd dimension as first dimension
+ data_array = np.array(range(2500 * 3000 * 3)).reshape(
+ 3, 2500, 3000).astype(np.uint8)
+ assert a.write_tiles(data_array, 512, 528, None, True) == (512 * 528) * 5 * 6 * 3, \
+ "could not write tile images" # 3D
+ print("Tile Write: Wrote array of shape %r" % (data_array.shape,))
+
+ # Grayscale image with 3 depths
+ data_array = np.array(range(2500 * 3000 * 3)).reshape(
+ 3, 2500, 3000).astype(np.uint8)
+ written_bytes = a.write_tiles(data_array, 512, 528)
+ assert written_bytes == 512 * 528 * 5 * 6 * 3, \
+ "could not write tile images, written_bytes: %s" % (written_bytes,)
+ print("Tile Write: Wrote array of shape %r" % (data_array.shape,))
+
+ print("Tile Write: SUCCESS")
+
+
+def test_tile_read(tmp_path):
+ test_tile_write(tmp_path) # Create file first
+
+ filename = tmp_path / "libtiff_test_tile_write.tiff"
+ a = lt.TIFF.open(filename, "r")
+
+ # 1D Arrays (doesn't make much sense to tile)
+ a.SetDirectory(0)
+ # expected tag values for the first image
+ tags = [
+ {"tag": "ImageWidth", "exp_value": 3000},
+ {"tag": "ImageLength", "exp_value": 1},
+ {"tag": "TileWidth", "exp_value": 512},
+ {"tag": "TileLength", "exp_value": 528},
+ {"tag": "BitsPerSample", "exp_value": 8},
+ {"tag": "Compression", "exp_value": 1},
+ ]
+
+ # assert tag values
+ for tag in tags:
+ field_value = a.GetField(tag['tag'])
+ assert field_value == tag['exp_value'], \
+ repr((tag['tag'], tag['exp_value'], field_value))
+
+ data_array = a.read_tiles()
+ print("Tile Read: Read array of shape %r" % (data_array.shape,))
+ assert data_array.shape == (1, 3000), "tile data read was the wrong shape"
+ test_array = np.array(list(range(500)) * 6).astype(np.uint8).flatten()
+ assert np.nonzero(data_array.flatten() != test_array)[0].shape[0] == 0, \
+ "tile data read was not the same as the expected data"
+ print("Tile Read: Data is the same as expected from tile write test")
+
+ # 2D Arrays (doesn't make much sense to tile)
+ a.SetDirectory(1)
+ # expected tag values for the second image
+ tags = [
+ {"tag": "ImageWidth", "exp_value": 3000},
+ {"tag": "ImageLength", "exp_value": 2500},
+ {"tag": "TileWidth", "exp_value": 512},
+ {"tag": "TileLength", "exp_value": 528},
+ {"tag": "BitsPerSample", "exp_value": 8},
+ {"tag": "Compression", "exp_value": 1},
+ ]
+
+ # assert tag values
+ for tag in tags:
+ field_value = a.GetField(tag['tag'])
+ assert field_value == tag['exp_value'], \
+ repr((tag['tag'], tag['exp_value'], field_value))
+
+ data_array = a.read_tiles()
+ print("Tile Read: Read array of shape %r" % (data_array.shape,))
+ assert data_array.shape == (2500, 3000), \
+ "tile data read was the wrong shape"
+ test_array = np.tile(list(range(500)),
+ (2500, 6)).astype(np.uint8).flatten()
+ assert np.nonzero(data_array.flatten() != test_array)[0].shape[0] == 0, \
+ "tile data read was not the same as the expected data"
+ print("Tile Read: Data is the same as expected from tile write test")
+
+ # 3D Arrays, 3rd dimension as last dimension
+ a.SetDirectory(2)
+ # expected tag values for the third image
+ tags = [
+ {"tag": "ImageWidth", "exp_value": 3000},
+ {"tag": "ImageLength", "exp_value": 2500},
+ {"tag": "TileWidth", "exp_value": 512},
+ {"tag": "TileLength", "exp_value": 528},
+ {"tag": "BitsPerSample", "exp_value": 8},
+ {"tag": "Compression", "exp_value": 1},
+ ]
+
+ # assert tag values
+ for tag in tags:
+ field_value = a.GetField(tag['tag'])
+ assert field_value == tag['exp_value'], \
+ repr(tag['tag'], tag['exp_value'], field_value)
+
+ data_array = a.read_tiles()
+ print("Tile Read: Read array of shape %r" % (data_array.shape,))
+ assert data_array.shape == (2500, 3000, 3), \
+ "tile data read was the wrong shape"
+ test_array = np.array(range(2500 * 3000 * 3)).reshape(
+ 2500, 3000, 3).astype(np.uint8).flatten()
+ assert np.nonzero(data_array.flatten() != test_array)[0].shape[0] == 0, \
+ "tile data read was not the same as the expected data"
+ print("Tile Read: Data is the same as expected from tile write test")
+
+ # 3D Arrays, 3rd dimension as first dimension
+ a.SetDirectory(3)
+ # expected tag values for the third image
+ tags = [
+ {"tag": "ImageWidth", "exp_value": 3000},
+ {"tag": "ImageLength", "exp_value": 2500},
+ {"tag": "TileWidth", "exp_value": 512},
+ {"tag": "TileLength", "exp_value": 528},
+ {"tag": "BitsPerSample", "exp_value": 8},
+ {"tag": "Compression", "exp_value": 1},
+ ]
+
+ # assert tag values
+ for tag in tags:
+ field_value = a.GetField(tag['tag'])
+ assert field_value == tag['exp_value'], \
+ repr(tag['tag'], tag['exp_value'], field_value)
+
+ data_array = a.read_tiles()
+ print("Tile Read: Read array of shape %r" % (data_array.shape,))
+ assert data_array.shape == (3, 2500, 3000), \
+ "tile data read was the wrong shape"
+ test_array = np.array(range(2500 * 3000 * 3))
+ test_array = test_array.reshape(3, 2500, 3000).astype(np.uint8).flatten()
+ assert np.nonzero(data_array.flatten() != test_array)[0].shape[0] == 0, \
+ "tile data read was not the same as the expected data"
+ print("Tile Read: Data is the same as expected from tile write test")
+
+ # Grayscale image with 3 depths
+ a.SetDirectory(4)
+
+ # expected tag values for the third image
+ tags = [
+ {"tag": "ImageWidth", "exp_value": 3000},
+ {"tag": "ImageLength", "exp_value": 2500},
+ {"tag": "TileWidth", "exp_value": 512},
+ {"tag": "TileLength", "exp_value": 528},
+ {"tag": "BitsPerSample", "exp_value": 8},
+ {"tag": "Compression", "exp_value": 1},
+ {"tag": "ImageDepth", "exp_value": 3}
+ ]
+
+ # assert tag values
+ for tag in tags:
+ field_value = a.GetField(tag['tag'])
+ assert field_value == tag['exp_value'], \
+ repr([tag['tag'], tag['exp_value'], field_value])
+
+ data_array = a.read_tiles()
+ print("Tile Read: Read array of shape %r" % (data_array.shape,))
+ assert data_array.shape == (3, 2500, 3000), \
+ "tile data read was the wrong shape"
+ test_array = np.array(range(2500 * 3000 * 3)).reshape(
+ 3, 2500, 3000).astype(np.uint8).flatten()
+ assert np.nonzero(data_array.flatten() != test_array)[0].shape[0] == 0, \
+ "tile data read was not the same as the expected data"
+ print("Tile Read: Data is the same as expected from tile write test")
+
+ print("Tile Read: SUCCESS")
+
+
+def test_read_one_tile(tmp_path):
+ test_tile_write(tmp_path) # Create file first
+
+ filename = tmp_path / "libtiff_test_tile_write.tiff"
+ tiff = lt.TIFF.open(filename, "r")
+
+ # the first image is 1 pixel high
+ tile = tiff.read_one_tile(0, 0)
+ assert tile.shape == (1, 512), repr(tile.shape)
+
+ # second image, 3000 x 2500
+ tiff.SetDirectory(1)
+ tile = tiff.read_one_tile(0, 0)
+ assert tile.shape == (528, 512), repr(tile.shape)
+
+ tile = tiff.read_one_tile(512, 528)
+ assert tile.shape == (528, 512), repr(tile.shape)
+
+ # test tile on the right border
+ tile = tiff.read_one_tile(2560, 528)
+ assert tile.shape == (528, 440), repr(tile.shape)
+
+ # test tile on the bottom border
+ tile = tiff.read_one_tile(512, 2112)
+ assert tile.shape == (388, 512), repr(tile.shape)
+
+ # test tile on the right and bottom borders
+ tile = tiff.read_one_tile(2560, 2112)
+ assert tile.shape == (388, 440), repr(tile.shape)
+
+ # test x and y values not multiples of the tile width and height
+ tile = tiff.read_one_tile(530, 600)
+ assert tile[0][0] == 12, tile[0][0]
+
+ # test negative x
+ try:
+ tiff.read_one_tile(-5, 0)
+ raise AssertionError(
+ "An exception must be raised with invalid (x, y) values")
+ except ValueError as inst:
+ assert str(inst) == "Invalid x value", inst
+
+ # test y greater than the image height
+ try:
+ tiff.read_one_tile(0, 5000)
+ raise AssertionError(
+ "An exception must be raised with invalid (x, y) values")
+ except ValueError as inst:
+ assert str(inst) == "Invalid y value", inst
+
+ # RGB image sized 3000 x 2500, PLANARCONFIG_SEPARATE
+ tiff.SetDirectory(3)
+ tile = tiff.read_one_tile(0, 0)
+ assert tile.shape == (3, 528, 512), repr(tile.shape)
+ # get the tile on the lower bottom corner
+ tile = tiff.read_one_tile(2999, 2499)
+ assert tile.shape == (3, 388, 440), repr(tile.shape)
+
+ # Grayscale image sized 3000 x 2500, 3 depths
+ tiff.SetDirectory(4)
+ tile = tiff.read_one_tile(0, 0)
+ assert tile.shape == (3, 528, 512), repr(tile.shape)
+ # get the tile on the lower bottom corner
+ tile = tiff.read_one_tile(2999, 2499)
+ assert tile.shape == (3, 388, 440), repr(tile.shape)
+
+
+def test_tiled_image_read(tmp_path):
+ """
+ Tests opening a tiled image
+ """
+ test_tile_write(tmp_path) # Create file first
+ filename = tmp_path / "libtiff_test_tile_write.tiff"
+
+ def assert_image_tag(tiff, tag_name, expected_value):
+ value = tiff.GetField(tag_name)
+ assert value == expected_value, \
+ ('%s expected to be %d, but it\'s %d'
+ % (tag_name, expected_value, value))
+
+ tiff = lt.TIFF.open(filename, "r")
+
+ # sets the current image to the second image
+ tiff.SetDirectory(1)
+ # test tag values
+ assert_image_tag(tiff, 'ImageWidth', 3000)
+ assert_image_tag(tiff, 'ImageLength', 2500)
+ assert_image_tag(tiff, 'TileWidth', 512)
+ assert_image_tag(tiff, 'TileLength', 528)
+ assert_image_tag(tiff, 'BitsPerSample', 8)
+ assert_image_tag(tiff, 'Compression', lt.COMPRESSION_NONE) # noqa: F821
+
+ # read the image to a NumPy array
+ arr = tiff.read_image()
+ # test image NumPy array dimensions
+ assert arr.shape[0] == 2500, \
+ 'Image width expected to be 2500, but it\'s %d' % (arr.shape[0])
+ assert arr.shape[1] == 3000, \
+ 'Image height expected to be 3000, but it\'s %d' % (arr.shape[1])
+
+ # generates the same array that was generated for the image
+ data_array = np.array(list(range(500)) * 6).astype(np.uint8)
+ # tests if the array from the read image is the same of the original image
+ assert (data_array == arr).all(), \
+ 'The read tiled image is different from the generated image'
+
+
+def test_tags_write(tmp_path):
+ tiff = lt.TIFF.open(tmp_path / 'libtiff_tags_write.tiff', mode='w')
+ tmp = tiff.SetField("Artist", b"A Name")
+ assert tmp == 1, "Tag 'Artist' was not written properly"
+ tmp = tiff.SetField("DocumentName", b"")
+ assert tmp == 1, "Tag 'DocumentName' with empty string was not written properly"
+ tmp = tiff.SetField("PrimaryChromaticities", [1, 2, 3, 4, 5, 6])
+ assert tmp == 1, "Tag 'PrimaryChromaticities' was not written properly"
+ tmp = tiff.SetField("BitsPerSample", 8)
+ assert tmp == 1, "Tag 'BitsPerSample' was not written properly"
+ tmp = tiff.SetField("ColorMap", [[x * 256 for x in range(256)]] * 3)
+ assert tmp == 1, "Tag 'ColorMap' was not written properly"
+
+ arr = np.zeros((100, 100), np.uint8)
+ tiff.write_image(arr)
+
+ print("Tag Write: SUCCESS")
+
+
+def test_tags_read(tmp_path):
+ test_tags_write(tmp_path)
+
+ filename = tmp_path / 'libtiff_tags_write.tiff'
+ tiff = lt.TIFF.open(filename)
+ tmp = tiff.GetField("Artist")
+ assert tmp == b"A Name", "Tag 'Artist' did not read the correct value (" \
+ "Got '%s'; Expected 'A Name')" % (tmp,)
+ tmp = tiff.GetField("DocumentName")
+ assert tmp == b"", "Tag 'DocumentName' did not read the correct value (" \
+ "Got '%s'; Expected empty string)" % (tmp,)
+ tmp = tiff.GetField("PrimaryChromaticities")
+ assert tmp == [1, 2, 3, 4, 5, 6], \
+ "Tag 'PrimaryChromaticities' did not read the " \
+ "correct value (Got '%r'; Expected '[1,2,3,4,5,6]'" % (tmp,)
+ tmp = tiff.GetField("BitsPerSample")
+ assert tmp == 8, "Tag 'BitsPerSample' did not read the correct value (" \
+ "Got %s; Expected 8)" % (str(tmp),)
+ tmp = tiff.GetField("ColorMap")
+ try:
+ assert len(tmp) == 3, \
+ f"Tag 'ColorMap' should be three arrays, found {len(tmp)}"
+ assert len(tmp[0]) == 256, \
+ f"Tag 'ColorMap' should be three arrays of 256 elements, found {len(tmp[0])} elements"
+ assert len(tmp[1]) == 256, \
+ f"Tag 'ColorMap' should be three arrays of 256 elements, found {len(tmp[1])} elements"
+ assert len(tmp[2]) == 256, \
+ f"Tag 'ColorMap' should be three arrays of 256 elements, found {len(tmp[2])} elements"
+ except TypeError:
+ print("Tag 'ColorMap' has the wrong shape of 3 arrays of 256 elements each")
+ return
+
+ print("Tag Read: SUCCESS")
+
+
+def test_write(tmp_path):
+ tiff = lt.TIFF.open(tmp_path / 'libtiff_test_write.tiff', mode='w')
+ arr = np.zeros((5, 6), np.uint32)
+ for _i in range(arr.shape[0]):
+ for j in range(arr.shape[1]):
+ arr[_i, j] = _i + 10 * j
+ print(arr)
+ tiff.write_image(arr)
+ del tiff
+
+
+def test_read(tmp_path):
+ test_write(tmp_path)
+
+ filename = tmp_path / 'libtiff_test_write.tiff'
+ print('Trying to open', filename, '...', end=' ')
+ tiff = lt.TIFF.open(filename)
+ print('Trying to show info ...\n', '-' * 10)
+ print(tiff.info())
+ print('-' * 10, 'ok')
+ print('Trying show images ...')
+ t = time.time()
+ i = 0
+ for image in tiff.iter_images(verbose=True):
+ print(image.min(), image.max(), image.mean())
+ i += 1
+ print('\tok', (time.time() - t) * 1e3, 'ms', i, 'images')
+
+
+def test_write_float(tmp_path):
+ tiff = lt.TIFF.open(tmp_path / 'libtiff_test_write.tiff', mode='w')
+ arr = np.zeros((5, 6), np.float64)
+ for i in range(arr.shape[0]):
+ for j in range(arr.shape[1]):
+ arr[i, j] = i + 10 * j
+ print(arr)
+ tiff.write_image(arr)
+ del tiff
+
+ tiff = lt.TIFF.open(tmp_path / 'libtiff_test_write.tiff', mode='r')
+ print(tiff.info())
+ arr2 = tiff.read_image()
+ print(arr2)
+
+
+def test_write_rgba(tmp_path):
+ tiff = lt.TIFF.open(tmp_path / 'libtiff_test_write.tiff', mode='w')
+ arr = np.zeros((5, 6, 4), np.uint8)
+ for i in np.ndindex(*arr.shape):
+ arr[i] = 20 * i[0] + 10 * i[1] + i[2]
+ print(arr)
+ tiff.write_image(arr, write_rgb=True)
+ del tiff
+
+ tiff = lt.TIFF.open(tmp_path / 'libtiff_test_write.tiff', mode='r')
+ print(tiff.info())
+ arr2 = tiff.read_image()
+ print(arr2)
+
+ np.testing.assert_array_equal(arr, arr2)
+
+
+def test_tree(tmp_path):
+ # Write a TIFF image with the following tree structure:
+ # Im0 --SubIFD--> Im0,1 ---> Im0,2 ---> Im0,3
+ # |
+ # V
+ # Im1
+ tiff = lt.TIFF.open(tmp_path / 'libtiff_test_write.tiff', mode='w')
+ arr = np.zeros((5, 6), np.uint32)
+ for i in np.ndindex(*arr.shape):
+ arr[i] = i[0] + 20 * i[1]
+ print(arr)
+ n = 3
+ tiff.SetField("SubIFD", [0] * n)
+ tiff.write_image(arr)
+ for i in range(n):
+ arr[0, 0] = i
+ tiff.write_image(arr)
+
+ arr[0, 0] = 255
+ tiff.write_image(arr)
+ del tiff
+
+ tiff = lt.TIFF.open(tmp_path / 'libtiff_test_write.tiff', mode='r')
+ print(tiff.info())
+ n = 0
+ for im in tiff.iter_images(verbose=True):
+ print(im)
+ n += 1
+
+ assert n == 2
+
+
+def test_copy(tmp_path):
+ tiff = lt.TIFF.open(tmp_path / 'libtiff_test_compression.tiff', mode='w')
+ arr = np.zeros((5, 6), np.uint32)
+ for _i in range(arr.shape[0]):
+ for j in range(arr.shape[1]):
+ arr[_i, j] = 1 + _i + 10 * j
+ # from scipy.stats import poisson
+ # arr = poisson.rvs (arr)
+ tiff.SetField('ImageDescription', b'Hey\nyou')
+ tiff.write_image(arr, compression='lzw')
+ del tiff
+
+ tiff = lt.TIFF.open(tmp_path / 'libtiff_test_compression.tiff', mode='r')
+ print(tiff.info())
+ arr2 = tiff.read_image()
+
+ assert (arr == arr2).all(), 'arrays not equal'
+
+ for compression in ['none', 'lzw', 'deflate']:
+ for sampleformat in ['int', 'uint', 'float']:
+ for bitspersample in [128, 64, 32, 16, 8]:
+ dtype_name = f"{sampleformat}{bitspersample}"
+ if not hasattr(np, dtype_name): # Skip non existing types
+ continue
+ print(f"Testing convertion to {dtype_name}")
+ # With compression, less data types supported
+ if compression != 'none' and bitspersample > 32:
+ continue
+ # print compression, sampleformat, bitspersample
+ tiff.copy(tmp_path / 'libtiff_test_copy2.tiff',
+ compression=compression,
+ imagedescription=b'hoo',
+ sampleformat=sampleformat,
+ bitspersample=bitspersample)
+ tiff2 = lt.TIFF.open(tmp_path / 'libtiff_test_copy2.tiff', mode='r')
+ arr3 = tiff2.read_image()
+ assert (arr == arr3).all(), 'arrays not equal %r' % (
+ (compression, sampleformat, bitspersample),)
+ print('test copy ok')
+
+
+def test_set_get_field_lowlevel(tmp_path):
+ ltc = lt.libtiff
+ tiff = lt.TIFF.open(tmp_path / 'libtiff_set_get_field_lowlevel.tiff', mode='w')
+
+ # Store the output of TIFFGetField
+ uint16_data = ctypes.c_uint16(0)
+ p_uint16_data = ctypes.byref(uint16_data)
+ uint32_data = ctypes.c_uint32(0)
+ p_uint32_data = ctypes.byref(uint32_data)
+ float_data = ctypes.c_float(0.0)
+ p_float_data = ctypes.byref(float_data)
+ double_data = ctypes.c_double(0.0)
+ p_double_data = ctypes.byref(double_data)
+ char_p_data = ctypes.c_char_p(b'')
+ p_char_p_data = ctypes.byref(char_p_data)
+
+ # Store the output of TIFFGetFieldDefaulted
+ uint16_data_defaulted = ctypes.c_uint16(0)
+ p_uint16_data_defaulted = ctypes.byref(uint16_data_defaulted)
+ uint32_data_defaulted = ctypes.c_uint32(0)
+ p_uint32_data_defaulted = ctypes.byref(uint32_data_defaulted)
+ float_data_defaulted = ctypes.c_float(0.0)
+ p_float_data_defaulted = ctypes.byref(float_data_defaulted)
+ double_data_defaulted = ctypes.c_double(0.0)
+ p_double_data_defaulted = ctypes.byref(double_data_defaulted)
+ char_p_data_defaulted = ctypes.c_char_p(b'')
+ p_char_p_data_defaulted = ctypes.byref(char_p_data_defaulted)
+
+ # Test uint16 tags
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_SAMPLEFORMAT, p_uint16_data_defaulted)
+ assert uint16_data_defaulted.value == lt.SAMPLEFORMAT_UINT
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_SAMPLEFORMAT, lt.SAMPLEFORMAT_INT)
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_SAMPLEFORMAT, p_uint16_data)
+ assert uint16_data.value == lt.SAMPLEFORMAT_INT
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_SAMPLEFORMAT, p_uint16_data_defaulted)
+ assert uint16_data_defaulted.value == lt.SAMPLEFORMAT_INT
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_SAMPLEFORMAT, lt.SAMPLEFORMAT_UINT)
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_SAMPLEFORMAT, p_uint16_data)
+ assert uint16_data.value == lt.SAMPLEFORMAT_UINT
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_SAMPLEFORMAT, p_uint16_data_defaulted)
+ assert uint16_data_defaulted.value == lt.SAMPLEFORMAT_UINT
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_COMPRESSION, lt.COMPRESSION_LZW)
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_COMPRESSION, p_uint16_data)
+ assert uint16_data.value == lt.COMPRESSION_LZW
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_COMPRESSION, p_uint16_data_defaulted)
+ assert uint16_data_defaulted.value == lt.COMPRESSION_LZW
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_ORIENTATION, lt.ORIENTATION_TOPLEFT)
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_ORIENTATION, p_uint16_data)
+ assert uint16_data.value == lt.ORIENTATION_TOPLEFT
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_ORIENTATION, p_uint16_data_defaulted)
+ assert uint16_data_defaulted.value == lt.ORIENTATION_TOPLEFT
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_THRESHHOLDING, lt.THRESHHOLD_BILEVEL)
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_THRESHHOLDING, p_uint16_data)
+ assert uint16_data.value == lt.THRESHHOLD_BILEVEL
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_THRESHHOLDING, p_uint16_data_defaulted)
+ assert uint16_data_defaulted.value == lt.THRESHHOLD_BILEVEL
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_FILLORDER, lt.FILLORDER_MSB2LSB)
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_FILLORDER, p_uint16_data)
+ assert uint16_data.value == lt.FILLORDER_MSB2LSB
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_FILLORDER, p_uint16_data_defaulted)
+ assert uint16_data_defaulted.value == lt.FILLORDER_MSB2LSB
+
+ # Test uint32 tags
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_IMAGEWIDTH, 256)
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_IMAGEWIDTH, p_uint32_data)
+ assert uint32_data.value == 256
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_IMAGEWIDTH, p_uint32_data_defaulted)
+ assert uint32_data_defaulted.value == 256
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_IMAGELENGTH, 256)
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_IMAGELENGTH, p_uint32_data)
+ assert uint32_data.value == 256
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_IMAGELENGTH, p_uint32_data_defaulted)
+ assert uint32_data_defaulted.value == 256
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_SUBFILETYPE, lt.FILETYPE_REDUCEDIMAGE)
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_SUBFILETYPE, p_uint32_data)
+ assert uint32_data.value == lt.FILETYPE_REDUCEDIMAGE
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_SUBFILETYPE, p_uint32_data_defaulted)
+ assert uint32_data_defaulted.value == lt.FILETYPE_REDUCEDIMAGE
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_TILEWIDTH, 256)
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_TILEWIDTH, p_uint32_data)
+ assert uint32_data.value == 256
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_TILEWIDTH, p_uint32_data_defaulted)
+ assert uint32_data_defaulted.value == 256
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_TILELENGTH, 256)
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_TILELENGTH, p_uint32_data)
+ assert uint32_data.value == 256
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_TILELENGTH, p_uint32_data_defaulted)
+ assert uint32_data_defaulted.value == 256
+
+ # Test float tags
+ # NOTE: some tags are defined as float but can be set as float or double
+ # Using ctypes.c_float instead of ctypes.c_double results in
+ # "RuntimeError: ffi_prep_cif_var failed"
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_XRESOLUTION, ctypes.c_double(88.0))
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_XRESOLUTION, p_float_data)
+ assert float_data.value == 88.0
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_XRESOLUTION, p_float_data_defaulted)
+ assert float_data_defaulted.value == 88.0
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_YRESOLUTION, ctypes.c_double(88.0))
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_YRESOLUTION, p_float_data)
+ assert float_data.value == 88.0
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_YRESOLUTION, p_float_data_defaulted)
+ assert float_data_defaulted.value == 88.0
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_XPOSITION, ctypes.c_double(88.0))
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_XPOSITION, p_float_data)
+ assert float_data.value == 88.0
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_XPOSITION, p_float_data_defaulted)
+ assert float_data_defaulted.value == 88.0
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_YPOSITION, ctypes.c_double(88.0))
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_YPOSITION, p_float_data)
+ assert float_data.value == 88.0
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_YPOSITION, p_float_data_defaulted)
+ assert float_data_defaulted.value == 88.0
+
+ # Test double tags
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_SMAXSAMPLEVALUE, ctypes.c_double(255.0))
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_SMAXSAMPLEVALUE, p_double_data)
+ assert double_data.value == 255.0
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_SMAXSAMPLEVALUE, p_double_data_defaulted)
+ assert double_data_defaulted.value == 255.0
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_SMINSAMPLEVALUE, ctypes.c_double(0.0))
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_SMINSAMPLEVALUE, p_double_data)
+ assert double_data.value == 0.0
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_SMINSAMPLEVALUE, p_double_data_defaulted)
+ assert double_data_defaulted.value == 0.0
+
+ # Test string tags
+ test_string = b"test string"
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_ARTIST, test_string)
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_ARTIST, p_char_p_data)
+ assert char_p_data.value == test_string
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_ARTIST, p_char_p_data_defaulted)
+ assert char_p_data_defaulted.value == test_string
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_DATETIME, test_string)
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_DATETIME, p_char_p_data)
+ assert char_p_data.value == test_string
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_DATETIME, p_char_p_data_defaulted)
+ assert char_p_data_defaulted.value == test_string
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_HOSTCOMPUTER, test_string)
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_HOSTCOMPUTER, p_char_p_data)
+ assert char_p_data.value == test_string
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_HOSTCOMPUTER, p_char_p_data_defaulted)
+ assert char_p_data_defaulted.value == test_string
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_IMAGEDESCRIPTION, test_string)
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_IMAGEDESCRIPTION, p_char_p_data)
+ assert char_p_data.value == test_string
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_IMAGEDESCRIPTION, p_char_p_data_defaulted)
+ assert char_p_data_defaulted.value == test_string
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_MAKE, test_string)
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_MAKE, p_char_p_data)
+ assert char_p_data.value == test_string
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_MAKE, p_char_p_data_defaulted)
+ assert char_p_data_defaulted.value == test_string
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_MODEL, test_string)
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_MODEL, p_char_p_data)
+ assert char_p_data.value == test_string
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_MODEL, p_char_p_data_defaulted)
+ assert char_p_data_defaulted.value == test_string
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_SOFTWARE, test_string)
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_SOFTWARE, p_char_p_data)
+ assert char_p_data.value == test_string
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_SOFTWARE, p_char_p_data_defaulted)
+ assert char_p_data_defaulted.value == test_string
+
+ # Test setting a tag with a different data type
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_IMAGEWIDTH, 128)
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_IMAGEWIDTH, p_uint32_data)
+ assert uint32_data.value == 128
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_IMAGEWIDTH, p_uint32_data_defaulted)
+ assert uint32_data_defaulted.value == 128
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_BITSPERSAMPLE, 8)
+ assert ltc.TIFFGetField(tiff, lt.TIFFTAG_BITSPERSAMPLE, p_uint16_data)
+ assert uint16_data.value == 8
+ assert ltc.TIFFGetFieldDefaulted(tiff, lt.TIFFTAG_BITSPERSAMPLE, p_uint16_data_defaulted)
+ assert uint16_data_defaulted.value == 8
+
+ # Test tags with count > 1
+ # Create three arrays of 256 16-bit integers
+ colormap_red = (ctypes.c_uint16 * 256)(*range(256))
+ colormap_green = (ctypes.c_uint16 * 256)(*range(256))
+ colormap_blue = (ctypes.c_uint16 * 256)(*range(256))
+
+ # Create pointers to receive colormap data
+ p_colormap_red = ctypes.POINTER(ctypes.c_uint16)()
+ p_colormap_green = ctypes.POINTER(ctypes.c_uint16)()
+ p_colormap_blue = ctypes.POINTER(ctypes.c_uint16)()
+
+ p_colormap_red_defaulted = ctypes.POINTER(ctypes.c_uint16)()
+ p_colormap_green_defaulted = ctypes.POINTER(ctypes.c_uint16)()
+ p_colormap_blue_defaulted = ctypes.POINTER(ctypes.c_uint16)()
+
+ assert ltc.TIFFSetField(tiff, lt.TIFFTAG_COLORMAP, colormap_red, colormap_green, colormap_blue)
+ assert ltc.TIFFGetField(
+ tiff, lt.TIFFTAG_COLORMAP,
+ ctypes.byref(p_colormap_red),
+ ctypes.byref(p_colormap_green),
+ ctypes.byref(p_colormap_blue)
+ )
+ assert ltc.TIFFGetFieldDefaulted(
+ tiff, lt.TIFFTAG_COLORMAP,
+ ctypes.byref(p_colormap_red_defaulted),
+ ctypes.byref(p_colormap_green_defaulted),
+ ctypes.byref(p_colormap_blue_defaulted)
+ )
+
+ # Check that the retrieved values are correct
+ for i in range(256):
+ assert p_colormap_red[i] == i
+ assert p_colormap_green[i] == i
+ assert p_colormap_blue[i] == i
+
+ assert p_colormap_red_defaulted[i] == i
+ assert p_colormap_green_defaulted[i] == i
+ assert p_colormap_blue_defaulted[i] == i
+
+ tiff.close()
+
+
+def test_set_get_field(tmp_path):
+ tiff = lt.TIFF.open(tmp_path / 'libtiff_set_get_field_lowlevel.tiff', mode='w')
+
+ # Test uint16 tags
+ tiff.SetField('SampleFormat', lt.SAMPLEFORMAT_INT)
+ assert tiff.GetField('SampleFormat') == lt.SAMPLEFORMAT_INT
+
+ tiff.SetField('Compression', lt.COMPRESSION_LZW)
+ assert tiff.GetField('Compression') == lt.COMPRESSION_LZW
+
+ tiff.SetField('Orientation', lt.ORIENTATION_TOPLEFT)
+ assert tiff.GetField('Orientation') == lt.ORIENTATION_TOPLEFT
+
+ tiff.SetField('Threshholding', lt.THRESHHOLD_BILEVEL)
+ assert tiff.GetField('Threshholding') == lt.THRESHHOLD_BILEVEL
+
+ tiff.SetField('FillOrder', lt.FILLORDER_MSB2LSB)
+ assert tiff.GetField('FillOrder') == lt.FILLORDER_MSB2LSB
+
+ # Test uint32 tags
+ tiff.SetField('ImageWidth', 256)
+ assert tiff.GetField('ImageWidth') == 256
+
+ tiff.SetField('ImageLength', 256)
+ assert tiff.GetField('ImageLength') == 256
+
+ tiff.SetField('SubfileType', lt.FILETYPE_REDUCEDIMAGE)
+ assert tiff.GetField('SubfileType') == lt.FILETYPE_REDUCEDIMAGE
+
+ tiff.SetField('TileWidth', 256)
+ assert tiff.GetField('TileWidth') == 256
+
+ tiff.SetField('TileLength', 256)
+ assert tiff.GetField('TileLength') == 256
+
+ # Test float tags
+ tiff.SetField('XResolution', 88.0)
+ assert tiff.GetField('XResolution') == 88.0
+
+ tiff.SetField('YResolution', 88.0)
+ assert tiff.GetField('YResolution') == 88.0
+
+ tiff.SetField('XPosition', 88.0)
+ assert tiff.GetField('XPosition') == 88.0
+
+ tiff.SetField('YPosition', 88.0)
+ assert tiff.GetField('YPosition') == 88.0
+
+ # Test double tags
+ tiff.SetField('SMaxSampleValue', 255.0)
+ assert tiff.GetField('SMaxSampleValue') == 255.0
+
+ tiff.SetField('SMinSampleValue', 0.0)
+ assert tiff.GetField('SMinSampleValue') == 0.0
+
+ # Test string tags
+ test_string = b"test string"
+ tiff.SetField('Artist', test_string)
+ assert tiff.GetField('Artist') == test_string
+
+ tiff.SetField('DateTime', test_string)
+ assert tiff.GetField('DateTime') == test_string
+
+ tiff.SetField('HostComputer', test_string)
+ assert tiff.GetField('HostComputer') == test_string
+
+ tiff.SetField('ImageDescription', test_string)
+ assert tiff.GetField('ImageDescription') == test_string
+
+ tiff.SetField('Make', test_string)
+ assert tiff.GetField('Make') == test_string
+
+ tiff.SetField('Model', test_string)
+ assert tiff.GetField('Model') == test_string
+
+ tiff.SetField('Software', test_string)
+ assert tiff.GetField('Software') == test_string
+
+ # Test setting a tag with a different data type
+ tiff.SetField('ImageWidth', 128)
+ assert tiff.GetField('ImageWidth') == 128
+
+ tiff.SetField('BitsPerSample', 8)
+ assert tiff.GetField('BitsPerSample') == 8
+
+ # Test tags with count > 1
+ colormap_red = list(range(256))
+ colormap_green = list(range(256))
+ colormap_blue = list(range(256))
+ tiff.SetField('ColorMap', [colormap_red, colormap_green, colormap_blue])
+ p_colormap_red, p_colormap_green, p_colormap_blue = tiff.GetField('ColorMap')
+
+ # Check that the retrieved values are correct
+ for i in range(256):
+ assert p_colormap_red[i] == i
+ assert p_colormap_green[i] == i
+ assert p_colormap_blue[i] == i
+
+ tiff.close()
=====================================
libtiff/tiff_file.py
=====================================
@@ -247,7 +247,7 @@ class TIFFfile(TiffBase):
while self.data[offset + i]:
i += 1
length = i
- string = self.get_values(offset, 'BYTE', length).tostring()
+ string = self.get_values(offset, 'BYTE', length).tobytes()
return string
def check_memory_usage(self, verbose=True):
@@ -792,7 +792,7 @@ class IFD:
'DocumentName', 'Model', 'Make', 'PageName',
'DateTime', 'Artist', 'HostComputer']:
if value is not None:
- return value.view('|S{!s}'.format(str(value.nbytes // value.size))).tostring()
+ return value.view('|S{!s}'.format(str(value.nbytes // value.size))).tobytes()
if human:
if tag_name == 'Compression':
value = {1: 'Uncompressed', 2: 'CCITT1D', 3: 'Group3Fax',
=====================================
libtiff/tiff_h_4_5_1.py
=====================================
@@ -0,0 +1,629 @@
+TIFF_VERSION_CLASSIC = 42
+TIFF_VERSION_BIG = 43
+TIFF_BIGENDIAN = 19789
+TIFF_LITTLEENDIAN = 18761
+MDI_LITTLEENDIAN = 20549
+MDI_BIGENDIAN = 17744
+TIFFTAG_SUBFILETYPE = 254
+FILETYPE_REDUCEDIMAGE = 1
+FILETYPE_PAGE = 2
+FILETYPE_MASK = 4
+TIFFTAG_OSUBFILETYPE = 255
+OFILETYPE_IMAGE = 1
+OFILETYPE_REDUCEDIMAGE = 2
+OFILETYPE_PAGE = 3
+TIFFTAG_IMAGEWIDTH = 256
+TIFFTAG_IMAGELENGTH = 257
+TIFFTAG_BITSPERSAMPLE = 258
+TIFFTAG_COMPRESSION = 259
+COMPRESSION_NONE = 1
+COMPRESSION_CCITTRLE = 2
+COMPRESSION_CCITTFAX3 = 3
+COMPRESSION_CCITT_T4 = 3
+COMPRESSION_CCITTFAX4 = 4
+COMPRESSION_CCITT_T6 = 4
+COMPRESSION_LZW = 5
+COMPRESSION_OJPEG = 6
+COMPRESSION_JPEG = 7
+COMPRESSION_T85 = 9
+COMPRESSION_T43 = 10
+COMPRESSION_NEXT = 32766
+COMPRESSION_CCITTRLEW = 32771
+COMPRESSION_PACKBITS = 32773
+COMPRESSION_THUNDERSCAN = 32809
+COMPRESSION_IT8CTPAD = 32895
+COMPRESSION_IT8LW = 32896
+COMPRESSION_IT8MP = 32897
+COMPRESSION_IT8BL = 32898
+COMPRESSION_PIXARFILM = 32908
+COMPRESSION_PIXARLOG = 32909
+COMPRESSION_DEFLATE = 32946
+COMPRESSION_ADOBE_DEFLATE = 8
+COMPRESSION_DCS = 32947
+COMPRESSION_JBIG = 34661
+COMPRESSION_SGILOG = 34676
+COMPRESSION_SGILOG24 = 34677
+COMPRESSION_JP2000 = 34712
+COMPRESSION_LERC = 34887
+COMPRESSION_LZMA = 34925
+COMPRESSION_ZSTD = 50000
+COMPRESSION_WEBP = 50001
+COMPRESSION_JXL = 50002
+TIFFTAG_PHOTOMETRIC = 262
+PHOTOMETRIC_MINISWHITE = 0
+PHOTOMETRIC_MINISBLACK = 1
+PHOTOMETRIC_RGB = 2
+PHOTOMETRIC_PALETTE = 3
+PHOTOMETRIC_MASK = 4
+PHOTOMETRIC_SEPARATED = 5
+PHOTOMETRIC_YCBCR = 6
+PHOTOMETRIC_CIELAB = 8
+PHOTOMETRIC_ICCLAB = 9
+PHOTOMETRIC_ITULAB = 10
+PHOTOMETRIC_CFA = 32803
+PHOTOMETRIC_LOGL = 32844
+PHOTOMETRIC_LOGLUV = 32845
+TIFFTAG_THRESHHOLDING = 263
+THRESHHOLD_BILEVEL = 1
+THRESHHOLD_HALFTONE = 2
+THRESHHOLD_ERRORDIFFUSE = 3
+TIFFTAG_CELLWIDTH = 264
+TIFFTAG_CELLLENGTH = 265
+TIFFTAG_FILLORDER = 266
+FILLORDER_MSB2LSB = 1
+FILLORDER_LSB2MSB = 2
+TIFFTAG_DOCUMENTNAME = 269
+TIFFTAG_IMAGEDESCRIPTION = 270
+TIFFTAG_MAKE = 271
+TIFFTAG_MODEL = 272
+TIFFTAG_STRIPOFFSETS = 273
+TIFFTAG_ORIENTATION = 274
+ORIENTATION_TOPLEFT = 1
+ORIENTATION_TOPRIGHT = 2
+ORIENTATION_BOTRIGHT = 3
+ORIENTATION_BOTLEFT = 4
+ORIENTATION_LEFTTOP = 5
+ORIENTATION_RIGHTTOP = 6
+ORIENTATION_RIGHTBOT = 7
+ORIENTATION_LEFTBOT = 8
+TIFFTAG_SAMPLESPERPIXEL = 277
+TIFFTAG_ROWSPERSTRIP = 278
+TIFFTAG_STRIPBYTECOUNTS = 279
+TIFFTAG_MINSAMPLEVALUE = 280
+TIFFTAG_MAXSAMPLEVALUE = 281
+TIFFTAG_XRESOLUTION = 282
+TIFFTAG_YRESOLUTION = 283
+TIFFTAG_PLANARCONFIG = 284
+PLANARCONFIG_CONTIG = 1
+PLANARCONFIG_SEPARATE = 2
+TIFFTAG_PAGENAME = 285
+TIFFTAG_XPOSITION = 286
+TIFFTAG_YPOSITION = 287
+TIFFTAG_FREEOFFSETS = 288
+TIFFTAG_FREEBYTECOUNTS = 289
+TIFFTAG_GRAYRESPONSEUNIT = 290
+GRAYRESPONSEUNIT_10S = 1
+GRAYRESPONSEUNIT_100S = 2
+GRAYRESPONSEUNIT_1000S = 3
+GRAYRESPONSEUNIT_10000S = 4
+GRAYRESPONSEUNIT_100000S = 5
+TIFFTAG_GRAYRESPONSECURVE = 291
+TIFFTAG_GROUP3OPTIONS = 292
+TIFFTAG_T4OPTIONS = 292
+GROUP3OPT_2DENCODING = 1
+GROUP3OPT_UNCOMPRESSED = 2
+GROUP3OPT_FILLBITS = 4
+TIFFTAG_GROUP4OPTIONS = 293
+TIFFTAG_T6OPTIONS = 293
+GROUP4OPT_UNCOMPRESSED = 2
+TIFFTAG_RESOLUTIONUNIT = 296
+RESUNIT_NONE = 1
+RESUNIT_INCH = 2
+RESUNIT_CENTIMETER = 3
+TIFFTAG_PAGENUMBER = 297
+TIFFTAG_COLORRESPONSEUNIT = 300
+COLORRESPONSEUNIT_10S = 1
+COLORRESPONSEUNIT_100S = 2
+COLORRESPONSEUNIT_1000S = 3
+COLORRESPONSEUNIT_10000S = 4
+COLORRESPONSEUNIT_100000S = 5
+TIFFTAG_TRANSFERFUNCTION = 301
+TIFFTAG_SOFTWARE = 305
+TIFFTAG_DATETIME = 306
+TIFFTAG_ARTIST = 315
+TIFFTAG_HOSTCOMPUTER = 316
+TIFFTAG_PREDICTOR = 317
+PREDICTOR_NONE = 1
+PREDICTOR_HORIZONTAL = 2
+PREDICTOR_FLOATINGPOINT = 3
+TIFFTAG_WHITEPOINT = 318
+TIFFTAG_PRIMARYCHROMATICITIES = 319
+TIFFTAG_COLORMAP = 320
+TIFFTAG_HALFTONEHINTS = 321
+TIFFTAG_TILEWIDTH = 322
+TIFFTAG_TILELENGTH = 323
+TIFFTAG_TILEOFFSETS = 324
+TIFFTAG_TILEBYTECOUNTS = 325
+TIFFTAG_BADFAXLINES = 326
+TIFFTAG_CLEANFAXDATA = 327
+CLEANFAXDATA_CLEAN = 0
+CLEANFAXDATA_REGENERATED = 1
+CLEANFAXDATA_UNCLEAN = 2
+TIFFTAG_CONSECUTIVEBADFAXLINES = 328
+TIFFTAG_SUBIFD = 330
+TIFFTAG_INKSET = 332
+INKSET_CMYK = 1
+INKSET_MULTIINK = 2
+TIFFTAG_INKNAMES = 333
+TIFFTAG_NUMBEROFINKS = 334
+TIFFTAG_DOTRANGE = 336
+TIFFTAG_TARGETPRINTER = 337
+TIFFTAG_EXTRASAMPLES = 338
+EXTRASAMPLE_UNSPECIFIED = 0
+EXTRASAMPLE_ASSOCALPHA = 1
+EXTRASAMPLE_UNASSALPHA = 2
+TIFFTAG_SAMPLEFORMAT = 339
+SAMPLEFORMAT_UINT = 1
+SAMPLEFORMAT_INT = 2
+SAMPLEFORMAT_IEEEFP = 3
+SAMPLEFORMAT_VOID = 4
+SAMPLEFORMAT_COMPLEXINT = 5
+SAMPLEFORMAT_COMPLEXIEEEFP = 6
+TIFFTAG_SMINSAMPLEVALUE = 340
+TIFFTAG_SMAXSAMPLEVALUE = 341
+TIFFTAG_CLIPPATH = 343
+TIFFTAG_XCLIPPATHUNITS = 344
+TIFFTAG_YCLIPPATHUNITS = 345
+TIFFTAG_INDEXED = 346
+TIFFTAG_JPEGTABLES = 347
+TIFFTAG_OPIPROXY = 351
+TIFFTAG_GLOBALPARAMETERSIFD = 400
+TIFFTAG_PROFILETYPE = 401
+PROFILETYPE_UNSPECIFIED = 0
+PROFILETYPE_G3_FAX = 1
+TIFFTAG_FAXPROFILE = 402
+FAXPROFILE_S = 1
+FAXPROFILE_F = 2
+FAXPROFILE_J = 3
+FAXPROFILE_C = 4
+FAXPROFILE_L = 5
+FAXPROFILE_M = 6
+TIFFTAG_CODINGMETHODS = 403
+CODINGMETHODS_T4_1D = 2
+CODINGMETHODS_T4_2D = 4
+CODINGMETHODS_T6 = 8
+CODINGMETHODS_T85 = 16
+CODINGMETHODS_T42 = 32
+CODINGMETHODS_T43 = 64
+TIFFTAG_VERSIONYEAR = 404
+TIFFTAG_MODENUMBER = 405
+TIFFTAG_DECODE = 433
+TIFFTAG_IMAGEBASECOLOR = 434
+TIFFTAG_T82OPTIONS = 435
+TIFFTAG_JPEGPROC = 512
+JPEGPROC_BASELINE = 1
+JPEGPROC_LOSSLESS = 14
+TIFFTAG_JPEGIFOFFSET = 513
+TIFFTAG_JPEGIFBYTECOUNT = 514
+TIFFTAG_JPEGRESTARTINTERVAL = 515
+TIFFTAG_JPEGLOSSLESSPREDICTORS = 517
+TIFFTAG_JPEGPOINTTRANSFORM = 518
+TIFFTAG_JPEGQTABLES = 519
+TIFFTAG_JPEGDCTABLES = 520
+TIFFTAG_JPEGACTABLES = 521
+TIFFTAG_YCBCRCOEFFICIENTS = 529
+TIFFTAG_YCBCRSUBSAMPLING = 530
+TIFFTAG_YCBCRPOSITIONING = 531
+YCBCRPOSITION_CENTERED = 1
+YCBCRPOSITION_COSITED = 2
+TIFFTAG_REFERENCEBLACKWHITE = 532
+TIFFTAG_STRIPROWCOUNTS = 559
+TIFFTAG_XMLPACKET = 700
+TIFFTAG_OPIIMAGEID = 32781
+TIFFTAG_TIFFANNOTATIONDATA = 32932
+TIFFTAG_REFPTS = 32953
+TIFFTAG_REGIONTACKPOINT = 32954
+TIFFTAG_REGIONWARPCORNERS = 32955
+TIFFTAG_REGIONAFFINE = 32956
+TIFFTAG_MATTEING = 32995
+TIFFTAG_DATATYPE = 32996
+TIFFTAG_IMAGEDEPTH = 32997
+TIFFTAG_TILEDEPTH = 32998
+TIFFTAG_PIXAR_IMAGEFULLWIDTH = 33300
+TIFFTAG_PIXAR_IMAGEFULLLENGTH = 33301
+TIFFTAG_PIXAR_TEXTUREFORMAT = 33302
+TIFFTAG_PIXAR_WRAPMODES = 33303
+TIFFTAG_PIXAR_FOVCOT = 33304
+TIFFTAG_PIXAR_MATRIX_WORLDTOSCREEN = 33305
+TIFFTAG_PIXAR_MATRIX_WORLDTOCAMERA = 33306
+TIFFTAG_WRITERSERIALNUMBER = 33405
+TIFFTAG_CFAREPEATPATTERNDIM = 33421
+TIFFTAG_CFAPATTERN = 33422
+TIFFTAG_BATTERYLEVEL = 33423
+TIFFTAG_COPYRIGHT = 33432
+TIFFTAG_MD_FILETAG = 33445
+TIFFTAG_MD_SCALEPIXEL = 33446
+TIFFTAG_MD_COLORTABLE = 33447
+TIFFTAG_MD_LABNAME = 33448
+TIFFTAG_MD_SAMPLEINFO = 33449
+TIFFTAG_MD_PREPDATE = 33450
+TIFFTAG_MD_PREPTIME = 33451
+TIFFTAG_MD_FILEUNITS = 33452
+TIFFTAG_RICHTIFFIPTC = 33723
+TIFFTAG_INGR_PACKET_DATA_TAG = 33918
+TIFFTAG_INGR_FLAG_REGISTERS = 33919
+TIFFTAG_IRASB_TRANSORMATION_MATRIX = 33920
+TIFFTAG_MODELTIEPOINTTAG = 33922
+TIFFTAG_IT8SITE = 34016
+TIFFTAG_IT8COLORSEQUENCE = 34017
+TIFFTAG_IT8HEADER = 34018
+TIFFTAG_IT8RASTERPADDING = 34019
+TIFFTAG_IT8BITSPERRUNLENGTH = 34020
+TIFFTAG_IT8BITSPEREXTENDEDRUNLENGTH = 34021
+TIFFTAG_IT8COLORTABLE = 34022
+TIFFTAG_IT8IMAGECOLORINDICATOR = 34023
+TIFFTAG_IT8BKGCOLORINDICATOR = 34024
+TIFFTAG_IT8IMAGECOLORVALUE = 34025
+TIFFTAG_IT8BKGCOLORVALUE = 34026
+TIFFTAG_IT8PIXELINTENSITYRANGE = 34027
+TIFFTAG_IT8TRANSPARENCYINDICATOR = 34028
+TIFFTAG_IT8COLORCHARACTERIZATION = 34029
+TIFFTAG_IT8HCUSAGE = 34030
+TIFFTAG_IT8TRAPINDICATOR = 34031
+TIFFTAG_IT8CMYKEQUIVALENT = 34032
+TIFFTAG_FRAMECOUNT = 34232
+TIFFTAG_MODELTRANSFORMATIONTAG = 34264
+TIFFTAG_PHOTOSHOP = 34377
+TIFFTAG_EXIFIFD = 34665
+TIFFTAG_ICCPROFILE = 34675
+TIFFTAG_IMAGELAYER = 34732
+TIFFTAG_JBIGOPTIONS = 34750
+TIFFTAG_GPSIFD = 34853
+TIFFTAG_FAXRECVPARAMS = 34908
+TIFFTAG_FAXSUBADDRESS = 34909
+TIFFTAG_FAXRECVTIME = 34910
+TIFFTAG_FAXDCS = 34911
+TIFFTAG_STONITS = 37439
+TIFFTAG_FEDEX_EDR = 34929
+TIFFTAG_IMAGESOURCEDATA = 37724
+TIFFTAG_INTEROPERABILITYIFD = 40965
+TIFFTAG_GDAL_METADATA = 42112
+TIFFTAG_GDAL_NODATA = 42113
+TIFFTAG_OCE_SCANJOB_DESCRIPTION = 50215
+TIFFTAG_OCE_APPLICATION_SELECTOR = 50216
+TIFFTAG_OCE_IDENTIFICATION_NUMBER = 50217
+TIFFTAG_OCE_IMAGELOGIC_CHARACTERISTICS = 50218
+TIFFTAG_LERC_PARAMETERS = 50674
+TIFFTAG_DNGVERSION = 50706
+TIFFTAG_DNGBACKWARDVERSION = 50707
+TIFFTAG_UNIQUECAMERAMODEL = 50708
+TIFFTAG_LOCALIZEDCAMERAMODEL = 50709
+TIFFTAG_CFAPLANECOLOR = 50710
+TIFFTAG_CFALAYOUT = 50711
+TIFFTAG_LINEARIZATIONTABLE = 50712
+TIFFTAG_BLACKLEVELREPEATDIM = 50713
+TIFFTAG_BLACKLEVEL = 50714
+TIFFTAG_BLACKLEVELDELTAH = 50715
+TIFFTAG_BLACKLEVELDELTAV = 50716
+TIFFTAG_WHITELEVEL = 50717
+TIFFTAG_DEFAULTSCALE = 50718
+TIFFTAG_DEFAULTCROPORIGIN = 50719
+TIFFTAG_DEFAULTCROPSIZE = 50720
+TIFFTAG_COLORMATRIX1 = 50721
+TIFFTAG_COLORMATRIX2 = 50722
+TIFFTAG_CAMERACALIBRATION1 = 50723
+TIFFTAG_CAMERACALIBRATION2 = 50724
+TIFFTAG_REDUCTIONMATRIX1 = 50725
+TIFFTAG_REDUCTIONMATRIX2 = 50726
+TIFFTAG_ANALOGBALANCE = 50727
+TIFFTAG_ASSHOTNEUTRAL = 50728
+TIFFTAG_ASSHOTWHITEXY = 50729
+TIFFTAG_BASELINEEXPOSURE = 50730
+TIFFTAG_BASELINENOISE = 50731
+TIFFTAG_BASELINESHARPNESS = 50732
+TIFFTAG_BAYERGREENSPLIT = 50733
+TIFFTAG_LINEARRESPONSELIMIT = 50734
+TIFFTAG_CAMERASERIALNUMBER = 50735
+TIFFTAG_LENSINFO = 50736
+TIFFTAG_CHROMABLURRADIUS = 50737
+TIFFTAG_ANTIALIASSTRENGTH = 50738
+TIFFTAG_SHADOWSCALE = 50739
+TIFFTAG_DNGPRIVATEDATA = 50740
+TIFFTAG_MAKERNOTESAFETY = 50741
+TIFFTAG_CALIBRATIONILLUMINANT1 = 50778
+TIFFTAG_CALIBRATIONILLUMINANT2 = 50779
+TIFFTAG_BESTQUALITYSCALE = 50780
+TIFFTAG_RAWDATAUNIQUEID = 50781
+TIFFTAG_ORIGINALRAWFILENAME = 50827
+TIFFTAG_ORIGINALRAWFILEDATA = 50828
+TIFFTAG_ACTIVEAREA = 50829
+TIFFTAG_MASKEDAREAS = 50830
+TIFFTAG_ASSHOTICCPROFILE = 50831
+TIFFTAG_ASSHOTPREPROFILEMATRIX = 50832
+TIFFTAG_CURRENTICCPROFILE = 50833
+TIFFTAG_CURRENTPREPROFILEMATRIX = 50834
+TIFFTAG_COLORIMETRICREFERENCE = 50879
+TIFFTAG_CAMERACALIBRATIONSIGNATURE = 50931
+TIFFTAG_PROFILECALIBRATIONSIGNATURE = 50932
+TIFFTAG_ASSHOTPROFILENAME = 50934
+TIFFTAG_NOISEREDUCTIONAPPLIED = 50935
+TIFFTAG_PROFILENAME = 50936
+TIFFTAG_PROFILEHUESATMAPDIMS = 50937
+TIFFTAG_PROFILEHUESATMAPDATA1 = 50938
+TIFFTAG_PROFILEHUESATMAPDATA2 = 50939
+TIFFTAG_PROFILETONECURVE = 50940
+TIFFTAG_PROFILEEMBEDPOLICY = 50941
+TIFFTAG_PROFILECOPYRIGHT = 50942
+TIFFTAG_FORWARDMATRIX1 = 50964
+TIFFTAG_FORWARDMATRIX2 = 50965
+TIFFTAG_PREVIEWAPPLICATIONNAME = 50966
+TIFFTAG_PREVIEWAPPLICATIONVERSION = 50967
+TIFFTAG_PREVIEWSETTINGSNAME = 50968
+TIFFTAG_PREVIEWSETTINGSDIGEST = 50969
+TIFFTAG_PREVIEWCOLORSPACE = 50970
+TIFFTAG_PREVIEWDATETIME = 50971
+TIFFTAG_RAWIMAGEDIGEST = 50972
+TIFFTAG_ORIGINALRAWFILEDIGEST = 50973
+TIFFTAG_SUBTILEBLOCKSIZE = 50974
+TIFFTAG_ROWINTERLEAVEFACTOR = 50975
+TIFFTAG_PROFILELOOKTABLEDIMS = 50981
+TIFFTAG_PROFILELOOKTABLEDATA = 50982
+TIFFTAG_OPCODELIST1 = 51008
+TIFFTAG_OPCODELIST2 = 51009
+TIFFTAG_OPCODELIST3 = 51022
+TIFFTAG_NOISEPROFILE = 51041
+TIFFTAG_DEFAULTUSERCROP = 51125
+TIFFTAG_DEFAULTBLACKRENDER = 51110
+TIFFTAG_BASELINEEXPOSUREOFFSET = 51109
+TIFFTAG_PROFILELOOKTABLEENCODING = 51108
+TIFFTAG_PROFILEHUESATMAPENCODING = 51107
+TIFFTAG_ORIGINALDEFAULTFINALSIZE = 51089
+TIFFTAG_ORIGINALBESTQUALITYFINALSIZE = 51090
+TIFFTAG_ORIGINALDEFAULTCROPSIZE = 51091
+TIFFTAG_NEWRAWIMAGEDIGEST = 51111
+TIFFTAG_RAWTOPREVIEWGAIN = 51112
+TIFFTAG_DEPTHFORMAT = 51177
+TIFFTAG_DEPTHNEAR = 51178
+TIFFTAG_DEPTHFAR = 51179
+TIFFTAG_DEPTHUNITS = 51180
+TIFFTAG_DEPTHMEASURETYPE = 51181
+TIFFTAG_ENHANCEPARAMS = 51182
+TIFFTAG_PROFILEGAINTABLEMAP = 52525
+TIFFTAG_SEMANTICNAME = 52526
+TIFFTAG_SEMANTICINSTANCEID = 52528
+TIFFTAG_MASKSUBAREA = 52536
+TIFFTAG_RGBTABLES = 52543
+TIFFTAG_CALIBRATIONILLUMINANT3 = 52529
+TIFFTAG_COLORMATRIX3 = 52531
+TIFFTAG_CAMERACALIBRATION3 = 52530
+TIFFTAG_REDUCTIONMATRIX3 = 52538
+TIFFTAG_PROFILEHUESATMAPDATA3 = 52537
+TIFFTAG_FORWARDMATRIX3 = 52532
+TIFFTAG_ILLUMINANTDATA1 = 52533
+TIFFTAG_ILLUMINANTDATA2 = 52534
+TIFFTAG_ILLUMINANTDATA3 = 53535
+TIFFTAG_EP_CFAREPEATPATTERNDIM = 33421
+TIFFTAG_EP_CFAPATTERN = 33422
+TIFFTAG_EP_BATTERYLEVEL = 33423
+TIFFTAG_EP_INTERLACE = 34857
+TIFFTAG_EP_IPTC_NAA = 33723
+TIFFTAG_EP_TIMEZONEOFFSET = 34858
+TIFFTAG_EP_SELFTIMERMODE = 34859
+TIFFTAG_EP_FLASHENERGY = 37387
+TIFFTAG_EP_SPATIALFREQUENCYRESPONSE = 37388
+TIFFTAG_EP_NOISE = 37389
+TIFFTAG_EP_FOCALPLANEXRESOLUTION = 37390
+TIFFTAG_EP_FOCALPLANEYRESOLUTION = 37391
+TIFFTAG_EP_FOCALPLANERESOLUTIONUNIT = 37392
+TIFFTAG_EP_IMAGENUMBER = 37393
+TIFFTAG_EP_SECURITYCLASSIFICATION = 37394
+TIFFTAG_EP_IMAGEHISTORY = 37395
+TIFFTAG_EP_EXPOSUREINDEX = 37397
+TIFFTAG_EP_STANDARDID = 37398
+TIFFTAG_EP_SENSINGMETHOD = 37399
+TIFFTAG_EP_EXPOSURETIME = 33434
+TIFFTAG_EP_FNUMBER = 33437
+TIFFTAG_EP_EXPOSUREPROGRAM = 34850
+TIFFTAG_EP_SPECTRALSENSITIVITY = 34852
+TIFFTAG_EP_ISOSPEEDRATINGS = 34855
+TIFFTAG_EP_OECF = 34856
+TIFFTAG_EP_DATETIMEORIGINAL = 36867
+TIFFTAG_EP_COMPRESSEDBITSPERPIXEL = 37122
+TIFFTAG_EP_SHUTTERSPEEDVALUE = 37377
+TIFFTAG_EP_APERTUREVALUE = 37378
+TIFFTAG_EP_BRIGHTNESSVALUE = 37379
+TIFFTAG_EP_EXPOSUREBIASVALUE = 37380
+TIFFTAG_EP_MAXAPERTUREVALUE = 37381
+TIFFTAG_EP_SUBJECTDISTANCE = 37382
+TIFFTAG_EP_METERINGMODE = 37383
+TIFFTAG_EP_LIGHTSOURCE = 37384
+TIFFTAG_EP_FLASH = 37385
+TIFFTAG_EP_FOCALLENGTH = 37386
+TIFFTAG_EP_SUBJECTLOCATION = 37396
+TIFFTAG_RPCCOEFFICIENT = 50844
+TIFFTAG_ALIAS_LAYER_METADATA = 50784
+TIFFTAG_TIFF_RSID = 50908
+TIFFTAG_GEO_METADATA = 50909
+TIFFTAG_EXTRACAMERAPROFILES = 50933
+TIFFTAG_DCSHUESHIFTVALUES = 65535
+TIFFTAG_FAXMODE = 65536
+FAXMODE_CLASSIC = 0
+FAXMODE_NORTC = 1
+FAXMODE_NOEOL = 2
+FAXMODE_BYTEALIGN = 4
+FAXMODE_WORDALIGN = 8
+FAXMODE_CLASSF = 1
+TIFFTAG_JPEGQUALITY = 65537
+TIFFTAG_JPEGCOLORMODE = 65538
+JPEGCOLORMODE_RAW = 0
+JPEGCOLORMODE_RGB = 1
+TIFFTAG_JPEGTABLESMODE = 65539
+JPEGTABLESMODE_QUANT = 1
+JPEGTABLESMODE_HUFF = 2
+TIFFTAG_FAXFILLFUNC = 65540
+TIFFTAG_PIXARLOGDATAFMT = 65549
+PIXARLOGDATAFMT_8BIT = 0
+PIXARLOGDATAFMT_8BITABGR = 1
+PIXARLOGDATAFMT_11BITLOG = 2
+PIXARLOGDATAFMT_12BITPICIO = 3
+PIXARLOGDATAFMT_16BIT = 4
+PIXARLOGDATAFMT_FLOAT = 5
+TIFFTAG_DCSIMAGERTYPE = 65550
+DCSIMAGERMODEL_M3 = 0
+DCSIMAGERMODEL_M5 = 1
+DCSIMAGERMODEL_M6 = 2
+DCSIMAGERFILTER_IR = 0
+DCSIMAGERFILTER_MONO = 1
+DCSIMAGERFILTER_CFA = 2
+DCSIMAGERFILTER_OTHER = 3
+TIFFTAG_DCSINTERPMODE = 65551
+DCSINTERPMODE_NORMAL = 0
+DCSINTERPMODE_PREVIEW = 1
+TIFFTAG_DCSBALANCEARRAY = 65552
+TIFFTAG_DCSCORRECTMATRIX = 65553
+TIFFTAG_DCSGAMMA = 65554
+TIFFTAG_DCSTOESHOULDERPTS = 65555
+TIFFTAG_DCSCALIBRATIONFD = 65556
+TIFFTAG_ZIPQUALITY = 65557
+TIFFTAG_PIXARLOGQUALITY = 65558
+TIFFTAG_DCSCLIPRECTANGLE = 65559
+TIFFTAG_SGILOGDATAFMT = 65560
+SGILOGDATAFMT_FLOAT = 0
+SGILOGDATAFMT_16BIT = 1
+SGILOGDATAFMT_RAW = 2
+SGILOGDATAFMT_8BIT = 3
+TIFFTAG_SGILOGENCODE = 65561
+SGILOGENCODE_NODITHER = 0
+SGILOGENCODE_RANDITHER = 1
+TIFFTAG_LZMAPRESET = 65562
+TIFFTAG_PERSAMPLE = 65563
+PERSAMPLE_MERGED = 0
+PERSAMPLE_MULTI = 1
+TIFFTAG_ZSTD_LEVEL = 65564
+TIFFTAG_LERC_VERSION = 65565
+LERC_VERSION_2_4 = 4
+TIFFTAG_LERC_ADD_COMPRESSION = 65566
+LERC_ADD_COMPRESSION_NONE = 0
+LERC_ADD_COMPRESSION_DEFLATE = 1
+LERC_ADD_COMPRESSION_ZSTD = 2
+TIFFTAG_LERC_MAXZERROR = 65567
+TIFFTAG_WEBP_LEVEL = 65568
+TIFFTAG_WEBP_LOSSLESS = 65569
+TIFFTAG_WEBP_LOSSLESS_EXACT = 65571
+TIFFTAG_DEFLATE_SUBCODEC = 65570
+DEFLATE_SUBCODEC_ZLIB = 0
+DEFLATE_SUBCODEC_LIBDEFLATE = 1
+EXIFTAG_EXPOSURETIME = 33434
+EXIFTAG_FNUMBER = 33437
+EXIFTAG_EXPOSUREPROGRAM = 34850
+EXIFTAG_SPECTRALSENSITIVITY = 34852
+EXIFTAG_ISOSPEEDRATINGS = 34855
+EXIFTAG_PHOTOGRAPHICSENSITIVITY = 34855
+EXIFTAG_OECF = 34856
+EXIFTAG_EXIFVERSION = 36864
+EXIFTAG_DATETIMEORIGINAL = 36867
+EXIFTAG_DATETIMEDIGITIZED = 36868
+EXIFTAG_COMPONENTSCONFIGURATION = 37121
+EXIFTAG_COMPRESSEDBITSPERPIXEL = 37122
+EXIFTAG_SHUTTERSPEEDVALUE = 37377
+EXIFTAG_APERTUREVALUE = 37378
+EXIFTAG_BRIGHTNESSVALUE = 37379
+EXIFTAG_EXPOSUREBIASVALUE = 37380
+EXIFTAG_MAXAPERTUREVALUE = 37381
+EXIFTAG_SUBJECTDISTANCE = 37382
+EXIFTAG_METERINGMODE = 37383
+EXIFTAG_LIGHTSOURCE = 37384
+EXIFTAG_FLASH = 37385
+EXIFTAG_FOCALLENGTH = 37386
+EXIFTAG_SUBJECTAREA = 37396
+EXIFTAG_MAKERNOTE = 37500
+EXIFTAG_USERCOMMENT = 37510
+EXIFTAG_SUBSECTIME = 37520
+EXIFTAG_SUBSECTIMEORIGINAL = 37521
+EXIFTAG_SUBSECTIMEDIGITIZED = 37522
+EXIFTAG_FLASHPIXVERSION = 40960
+EXIFTAG_COLORSPACE = 40961
+EXIFTAG_PIXELXDIMENSION = 40962
+EXIFTAG_PIXELYDIMENSION = 40963
+EXIFTAG_RELATEDSOUNDFILE = 40964
+EXIFTAG_FLASHENERGY = 41483
+EXIFTAG_SPATIALFREQUENCYRESPONSE = 41484
+EXIFTAG_FOCALPLANEXRESOLUTION = 41486
+EXIFTAG_FOCALPLANEYRESOLUTION = 41487
+EXIFTAG_FOCALPLANERESOLUTIONUNIT = 41488
+EXIFTAG_SUBJECTLOCATION = 41492
+EXIFTAG_EXPOSUREINDEX = 41493
+EXIFTAG_SENSINGMETHOD = 41495
+EXIFTAG_FILESOURCE = 41728
+EXIFTAG_SCENETYPE = 41729
+EXIFTAG_CFAPATTERN = 41730
+EXIFTAG_CUSTOMRENDERED = 41985
+EXIFTAG_EXPOSUREMODE = 41986
+EXIFTAG_WHITEBALANCE = 41987
+EXIFTAG_DIGITALZOOMRATIO = 41988
+EXIFTAG_FOCALLENGTHIN35MMFILM = 41989
+EXIFTAG_SCENECAPTURETYPE = 41990
+EXIFTAG_GAINCONTROL = 41991
+EXIFTAG_CONTRAST = 41992
+EXIFTAG_SATURATION = 41993
+EXIFTAG_SHARPNESS = 41994
+EXIFTAG_DEVICESETTINGDESCRIPTION = 41995
+EXIFTAG_SUBJECTDISTANCERANGE = 41996
+EXIFTAG_IMAGEUNIQUEID = 42016
+EXIFTAG_SENSITIVITYTYPE = 34864
+EXIFTAG_STANDARDOUTPUTSENSITIVITY = 34865
+EXIFTAG_RECOMMENDEDEXPOSUREINDEX = 34866
+EXIFTAG_ISOSPEED = 34867
+EXIFTAG_ISOSPEEDLATITUDEYYY = 34868
+EXIFTAG_ISOSPEEDLATITUDEZZZ = 34869
+EXIFTAG_OFFSETTIME = 36880
+EXIFTAG_OFFSETTIMEORIGINAL = 36881
+EXIFTAG_OFFSETTIMEDIGITIZED = 36882
+EXIFTAG_TEMPERATURE = 37888
+EXIFTAG_HUMIDITY = 37889
+EXIFTAG_PRESSURE = 37890
+EXIFTAG_WATERDEPTH = 37891
+EXIFTAG_ACCELERATION = 37892
+EXIFTAG_CAMERAELEVATIONANGLE = 37893
+EXIFTAG_CAMERAOWNERNAME = 42032
+EXIFTAG_BODYSERIALNUMBER = 42033
+EXIFTAG_LENSSPECIFICATION = 42034
+EXIFTAG_LENSMAKE = 42035
+EXIFTAG_LENSMODEL = 42036
+EXIFTAG_LENSSERIALNUMBER = 42037
+EXIFTAG_GAMMA = 42240
+EXIFTAG_COMPOSITEIMAGE = 42080
+EXIFTAG_SOURCEIMAGENUMBEROFCOMPOSITEIMAGE = 42081
+EXIFTAG_SOURCEEXPOSURETIMESOFCOMPOSITEIMAGE = 42082
+GPSTAG_VERSIONID = 0
+GPSTAG_LATITUDEREF = 1
+GPSTAG_LATITUDE = 2
+GPSTAG_LONGITUDEREF = 3
+GPSTAG_LONGITUDE = 4
+GPSTAG_ALTITUDEREF = 5
+GPSTAG_ALTITUDE = 6
+GPSTAG_TIMESTAMP = 7
+GPSTAG_SATELLITES = 8
+GPSTAG_STATUS = 9
+GPSTAG_MEASUREMODE = 10
+GPSTAG_DOP = 11
+GPSTAG_SPEEDREF = 12
+GPSTAG_SPEED = 13
+GPSTAG_TRACKREF = 14
+GPSTAG_TRACK = 15
+GPSTAG_IMGDIRECTIONREF = 16
+GPSTAG_IMGDIRECTION = 17
+GPSTAG_MAPDATUM = 18
+GPSTAG_DESTLATITUDEREF = 19
+GPSTAG_DESTLATITUDE = 20
+GPSTAG_DESTLONGITUDEREF = 21
+GPSTAG_DESTLONGITUDE = 22
+GPSTAG_DESTBEARINGREF = 23
+GPSTAG_DESTBEARING = 24
+GPSTAG_DESTDISTANCEREF = 25
+GPSTAG_DESTDISTANCE = 26
+GPSTAG_PROCESSINGMETHOD = 27
+GPSTAG_AREAINFORMATION = 28
+GPSTAG_DATESTAMP = 29
+GPSTAG_DIFFERENTIAL = 30
+GPSTAG_GPSHPOSITIONINGERROR = 31
=====================================
libtiff/tiff_h_4_7_0.py
=====================================
@@ -0,0 +1,629 @@
+TIFF_VERSION_CLASSIC = 42
+TIFF_VERSION_BIG = 43
+TIFF_BIGENDIAN = 19789
+TIFF_LITTLEENDIAN = 18761
+MDI_LITTLEENDIAN = 20549
+MDI_BIGENDIAN = 17744
+TIFFTAG_SUBFILETYPE = 254
+FILETYPE_REDUCEDIMAGE = 1
+FILETYPE_PAGE = 2
+FILETYPE_MASK = 4
+TIFFTAG_OSUBFILETYPE = 255
+OFILETYPE_IMAGE = 1
+OFILETYPE_REDUCEDIMAGE = 2
+OFILETYPE_PAGE = 3
+TIFFTAG_IMAGEWIDTH = 256
+TIFFTAG_IMAGELENGTH = 257
+TIFFTAG_BITSPERSAMPLE = 258
+TIFFTAG_COMPRESSION = 259
+COMPRESSION_NONE = 1
+COMPRESSION_CCITTRLE = 2
+COMPRESSION_CCITTFAX3 = 3
+COMPRESSION_CCITT_T4 = 3
+COMPRESSION_CCITTFAX4 = 4
+COMPRESSION_CCITT_T6 = 4
+COMPRESSION_LZW = 5
+COMPRESSION_OJPEG = 6
+COMPRESSION_JPEG = 7
+COMPRESSION_T85 = 9
+COMPRESSION_T43 = 10
+COMPRESSION_NEXT = 32766
+COMPRESSION_CCITTRLEW = 32771
+COMPRESSION_PACKBITS = 32773
+COMPRESSION_THUNDERSCAN = 32809
+COMPRESSION_IT8CTPAD = 32895
+COMPRESSION_IT8LW = 32896
+COMPRESSION_IT8MP = 32897
+COMPRESSION_IT8BL = 32898
+COMPRESSION_PIXARFILM = 32908
+COMPRESSION_PIXARLOG = 32909
+COMPRESSION_DEFLATE = 32946
+COMPRESSION_ADOBE_DEFLATE = 8
+COMPRESSION_DCS = 32947
+COMPRESSION_JBIG = 34661
+COMPRESSION_SGILOG = 34676
+COMPRESSION_SGILOG24 = 34677
+COMPRESSION_JP2000 = 34712
+COMPRESSION_LERC = 34887
+COMPRESSION_LZMA = 34925
+COMPRESSION_ZSTD = 50000
+COMPRESSION_WEBP = 50001
+COMPRESSION_JXL = 50002
+TIFFTAG_PHOTOMETRIC = 262
+PHOTOMETRIC_MINISWHITE = 0
+PHOTOMETRIC_MINISBLACK = 1
+PHOTOMETRIC_RGB = 2
+PHOTOMETRIC_PALETTE = 3
+PHOTOMETRIC_MASK = 4
+PHOTOMETRIC_SEPARATED = 5
+PHOTOMETRIC_YCBCR = 6
+PHOTOMETRIC_CIELAB = 8
+PHOTOMETRIC_ICCLAB = 9
+PHOTOMETRIC_ITULAB = 10
+PHOTOMETRIC_CFA = 32803
+PHOTOMETRIC_LOGL = 32844
+PHOTOMETRIC_LOGLUV = 32845
+TIFFTAG_THRESHHOLDING = 263
+THRESHHOLD_BILEVEL = 1
+THRESHHOLD_HALFTONE = 2
+THRESHHOLD_ERRORDIFFUSE = 3
+TIFFTAG_CELLWIDTH = 264
+TIFFTAG_CELLLENGTH = 265
+TIFFTAG_FILLORDER = 266
+FILLORDER_MSB2LSB = 1
+FILLORDER_LSB2MSB = 2
+TIFFTAG_DOCUMENTNAME = 269
+TIFFTAG_IMAGEDESCRIPTION = 270
+TIFFTAG_MAKE = 271
+TIFFTAG_MODEL = 272
+TIFFTAG_STRIPOFFSETS = 273
+TIFFTAG_ORIENTATION = 274
+ORIENTATION_TOPLEFT = 1
+ORIENTATION_TOPRIGHT = 2
+ORIENTATION_BOTRIGHT = 3
+ORIENTATION_BOTLEFT = 4
+ORIENTATION_LEFTTOP = 5
+ORIENTATION_RIGHTTOP = 6
+ORIENTATION_RIGHTBOT = 7
+ORIENTATION_LEFTBOT = 8
+TIFFTAG_SAMPLESPERPIXEL = 277
+TIFFTAG_ROWSPERSTRIP = 278
+TIFFTAG_STRIPBYTECOUNTS = 279
+TIFFTAG_MINSAMPLEVALUE = 280
+TIFFTAG_MAXSAMPLEVALUE = 281
+TIFFTAG_XRESOLUTION = 282
+TIFFTAG_YRESOLUTION = 283
+TIFFTAG_PLANARCONFIG = 284
+PLANARCONFIG_CONTIG = 1
+PLANARCONFIG_SEPARATE = 2
+TIFFTAG_PAGENAME = 285
+TIFFTAG_XPOSITION = 286
+TIFFTAG_YPOSITION = 287
+TIFFTAG_FREEOFFSETS = 288
+TIFFTAG_FREEBYTECOUNTS = 289
+TIFFTAG_GRAYRESPONSEUNIT = 290
+GRAYRESPONSEUNIT_10S = 1
+GRAYRESPONSEUNIT_100S = 2
+GRAYRESPONSEUNIT_1000S = 3
+GRAYRESPONSEUNIT_10000S = 4
+GRAYRESPONSEUNIT_100000S = 5
+TIFFTAG_GRAYRESPONSECURVE = 291
+TIFFTAG_GROUP3OPTIONS = 292
+TIFFTAG_T4OPTIONS = 292
+GROUP3OPT_2DENCODING = 1
+GROUP3OPT_UNCOMPRESSED = 2
+GROUP3OPT_FILLBITS = 4
+TIFFTAG_GROUP4OPTIONS = 293
+TIFFTAG_T6OPTIONS = 293
+GROUP4OPT_UNCOMPRESSED = 2
+TIFFTAG_RESOLUTIONUNIT = 296
+RESUNIT_NONE = 1
+RESUNIT_INCH = 2
+RESUNIT_CENTIMETER = 3
+TIFFTAG_PAGENUMBER = 297
+TIFFTAG_COLORRESPONSEUNIT = 300
+COLORRESPONSEUNIT_10S = 1
+COLORRESPONSEUNIT_100S = 2
+COLORRESPONSEUNIT_1000S = 3
+COLORRESPONSEUNIT_10000S = 4
+COLORRESPONSEUNIT_100000S = 5
+TIFFTAG_TRANSFERFUNCTION = 301
+TIFFTAG_SOFTWARE = 305
+TIFFTAG_DATETIME = 306
+TIFFTAG_ARTIST = 315
+TIFFTAG_HOSTCOMPUTER = 316
+TIFFTAG_PREDICTOR = 317
+PREDICTOR_NONE = 1
+PREDICTOR_HORIZONTAL = 2
+PREDICTOR_FLOATINGPOINT = 3
+TIFFTAG_WHITEPOINT = 318
+TIFFTAG_PRIMARYCHROMATICITIES = 319
+TIFFTAG_COLORMAP = 320
+TIFFTAG_HALFTONEHINTS = 321
+TIFFTAG_TILEWIDTH = 322
+TIFFTAG_TILELENGTH = 323
+TIFFTAG_TILEOFFSETS = 324
+TIFFTAG_TILEBYTECOUNTS = 325
+TIFFTAG_BADFAXLINES = 326
+TIFFTAG_CLEANFAXDATA = 327
+CLEANFAXDATA_CLEAN = 0
+CLEANFAXDATA_REGENERATED = 1
+CLEANFAXDATA_UNCLEAN = 2
+TIFFTAG_CONSECUTIVEBADFAXLINES = 328
+TIFFTAG_SUBIFD = 330
+TIFFTAG_INKSET = 332
+INKSET_CMYK = 1
+INKSET_MULTIINK = 2
+TIFFTAG_INKNAMES = 333
+TIFFTAG_NUMBEROFINKS = 334
+TIFFTAG_DOTRANGE = 336
+TIFFTAG_TARGETPRINTER = 337
+TIFFTAG_EXTRASAMPLES = 338
+EXTRASAMPLE_UNSPECIFIED = 0
+EXTRASAMPLE_ASSOCALPHA = 1
+EXTRASAMPLE_UNASSALPHA = 2
+TIFFTAG_SAMPLEFORMAT = 339
+SAMPLEFORMAT_UINT = 1
+SAMPLEFORMAT_INT = 2
+SAMPLEFORMAT_IEEEFP = 3
+SAMPLEFORMAT_VOID = 4
+SAMPLEFORMAT_COMPLEXINT = 5
+SAMPLEFORMAT_COMPLEXIEEEFP = 6
+TIFFTAG_SMINSAMPLEVALUE = 340
+TIFFTAG_SMAXSAMPLEVALUE = 341
+TIFFTAG_CLIPPATH = 343
+TIFFTAG_XCLIPPATHUNITS = 344
+TIFFTAG_YCLIPPATHUNITS = 345
+TIFFTAG_INDEXED = 346
+TIFFTAG_JPEGTABLES = 347
+TIFFTAG_OPIPROXY = 351
+TIFFTAG_GLOBALPARAMETERSIFD = 400
+TIFFTAG_PROFILETYPE = 401
+PROFILETYPE_UNSPECIFIED = 0
+PROFILETYPE_G3_FAX = 1
+TIFFTAG_FAXPROFILE = 402
+FAXPROFILE_S = 1
+FAXPROFILE_F = 2
+FAXPROFILE_J = 3
+FAXPROFILE_C = 4
+FAXPROFILE_L = 5
+FAXPROFILE_M = 6
+TIFFTAG_CODINGMETHODS = 403
+CODINGMETHODS_T4_1D = 2
+CODINGMETHODS_T4_2D = 4
+CODINGMETHODS_T6 = 8
+CODINGMETHODS_T85 = 16
+CODINGMETHODS_T42 = 32
+CODINGMETHODS_T43 = 64
+TIFFTAG_VERSIONYEAR = 404
+TIFFTAG_MODENUMBER = 405
+TIFFTAG_DECODE = 433
+TIFFTAG_IMAGEBASECOLOR = 434
+TIFFTAG_T82OPTIONS = 435
+TIFFTAG_JPEGPROC = 512
+JPEGPROC_BASELINE = 1
+JPEGPROC_LOSSLESS = 14
+TIFFTAG_JPEGIFOFFSET = 513
+TIFFTAG_JPEGIFBYTECOUNT = 514
+TIFFTAG_JPEGRESTARTINTERVAL = 515
+TIFFTAG_JPEGLOSSLESSPREDICTORS = 517
+TIFFTAG_JPEGPOINTTRANSFORM = 518
+TIFFTAG_JPEGQTABLES = 519
+TIFFTAG_JPEGDCTABLES = 520
+TIFFTAG_JPEGACTABLES = 521
+TIFFTAG_YCBCRCOEFFICIENTS = 529
+TIFFTAG_YCBCRSUBSAMPLING = 530
+TIFFTAG_YCBCRPOSITIONING = 531
+YCBCRPOSITION_CENTERED = 1
+YCBCRPOSITION_COSITED = 2
+TIFFTAG_REFERENCEBLACKWHITE = 532
+TIFFTAG_STRIPROWCOUNTS = 559
+TIFFTAG_XMLPACKET = 700
+TIFFTAG_OPIIMAGEID = 32781
+TIFFTAG_TIFFANNOTATIONDATA = 32932
+TIFFTAG_REFPTS = 32953
+TIFFTAG_REGIONTACKPOINT = 32954
+TIFFTAG_REGIONWARPCORNERS = 32955
+TIFFTAG_REGIONAFFINE = 32956
+TIFFTAG_MATTEING = 32995
+TIFFTAG_DATATYPE = 32996
+TIFFTAG_IMAGEDEPTH = 32997
+TIFFTAG_TILEDEPTH = 32998
+TIFFTAG_PIXAR_IMAGEFULLWIDTH = 33300
+TIFFTAG_PIXAR_IMAGEFULLLENGTH = 33301
+TIFFTAG_PIXAR_TEXTUREFORMAT = 33302
+TIFFTAG_PIXAR_WRAPMODES = 33303
+TIFFTAG_PIXAR_FOVCOT = 33304
+TIFFTAG_PIXAR_MATRIX_WORLDTOSCREEN = 33305
+TIFFTAG_PIXAR_MATRIX_WORLDTOCAMERA = 33306
+TIFFTAG_WRITERSERIALNUMBER = 33405
+TIFFTAG_CFAREPEATPATTERNDIM = 33421
+TIFFTAG_CFAPATTERN = 33422
+TIFFTAG_BATTERYLEVEL = 33423
+TIFFTAG_COPYRIGHT = 33432
+TIFFTAG_MD_FILETAG = 33445
+TIFFTAG_MD_SCALEPIXEL = 33446
+TIFFTAG_MD_COLORTABLE = 33447
+TIFFTAG_MD_LABNAME = 33448
+TIFFTAG_MD_SAMPLEINFO = 33449
+TIFFTAG_MD_PREPDATE = 33450
+TIFFTAG_MD_PREPTIME = 33451
+TIFFTAG_MD_FILEUNITS = 33452
+TIFFTAG_RICHTIFFIPTC = 33723
+TIFFTAG_INGR_PACKET_DATA_TAG = 33918
+TIFFTAG_INGR_FLAG_REGISTERS = 33919
+TIFFTAG_IRASB_TRANSORMATION_MATRIX = 33920
+TIFFTAG_MODELTIEPOINTTAG = 33922
+TIFFTAG_IT8SITE = 34016
+TIFFTAG_IT8COLORSEQUENCE = 34017
+TIFFTAG_IT8HEADER = 34018
+TIFFTAG_IT8RASTERPADDING = 34019
+TIFFTAG_IT8BITSPERRUNLENGTH = 34020
+TIFFTAG_IT8BITSPEREXTENDEDRUNLENGTH = 34021
+TIFFTAG_IT8COLORTABLE = 34022
+TIFFTAG_IT8IMAGECOLORINDICATOR = 34023
+TIFFTAG_IT8BKGCOLORINDICATOR = 34024
+TIFFTAG_IT8IMAGECOLORVALUE = 34025
+TIFFTAG_IT8BKGCOLORVALUE = 34026
+TIFFTAG_IT8PIXELINTENSITYRANGE = 34027
+TIFFTAG_IT8TRANSPARENCYINDICATOR = 34028
+TIFFTAG_IT8COLORCHARACTERIZATION = 34029
+TIFFTAG_IT8HCUSAGE = 34030
+TIFFTAG_IT8TRAPINDICATOR = 34031
+TIFFTAG_IT8CMYKEQUIVALENT = 34032
+TIFFTAG_FRAMECOUNT = 34232
+TIFFTAG_MODELTRANSFORMATIONTAG = 34264
+TIFFTAG_PHOTOSHOP = 34377
+TIFFTAG_EXIFIFD = 34665
+TIFFTAG_ICCPROFILE = 34675
+TIFFTAG_IMAGELAYER = 34732
+TIFFTAG_JBIGOPTIONS = 34750
+TIFFTAG_GPSIFD = 34853
+TIFFTAG_FAXRECVPARAMS = 34908
+TIFFTAG_FAXSUBADDRESS = 34909
+TIFFTAG_FAXRECVTIME = 34910
+TIFFTAG_FAXDCS = 34911
+TIFFTAG_STONITS = 37439
+TIFFTAG_FEDEX_EDR = 34929
+TIFFTAG_IMAGESOURCEDATA = 37724
+TIFFTAG_INTEROPERABILITYIFD = 40965
+TIFFTAG_GDAL_METADATA = 42112
+TIFFTAG_GDAL_NODATA = 42113
+TIFFTAG_OCE_SCANJOB_DESCRIPTION = 50215
+TIFFTAG_OCE_APPLICATION_SELECTOR = 50216
+TIFFTAG_OCE_IDENTIFICATION_NUMBER = 50217
+TIFFTAG_OCE_IMAGELOGIC_CHARACTERISTICS = 50218
+TIFFTAG_LERC_PARAMETERS = 50674
+TIFFTAG_DNGVERSION = 50706
+TIFFTAG_DNGBACKWARDVERSION = 50707
+TIFFTAG_UNIQUECAMERAMODEL = 50708
+TIFFTAG_LOCALIZEDCAMERAMODEL = 50709
+TIFFTAG_CFAPLANECOLOR = 50710
+TIFFTAG_CFALAYOUT = 50711
+TIFFTAG_LINEARIZATIONTABLE = 50712
+TIFFTAG_BLACKLEVELREPEATDIM = 50713
+TIFFTAG_BLACKLEVEL = 50714
+TIFFTAG_BLACKLEVELDELTAH = 50715
+TIFFTAG_BLACKLEVELDELTAV = 50716
+TIFFTAG_WHITELEVEL = 50717
+TIFFTAG_DEFAULTSCALE = 50718
+TIFFTAG_DEFAULTCROPORIGIN = 50719
+TIFFTAG_DEFAULTCROPSIZE = 50720
+TIFFTAG_COLORMATRIX1 = 50721
+TIFFTAG_COLORMATRIX2 = 50722
+TIFFTAG_CAMERACALIBRATION1 = 50723
+TIFFTAG_CAMERACALIBRATION2 = 50724
+TIFFTAG_REDUCTIONMATRIX1 = 50725
+TIFFTAG_REDUCTIONMATRIX2 = 50726
+TIFFTAG_ANALOGBALANCE = 50727
+TIFFTAG_ASSHOTNEUTRAL = 50728
+TIFFTAG_ASSHOTWHITEXY = 50729
+TIFFTAG_BASELINEEXPOSURE = 50730
+TIFFTAG_BASELINENOISE = 50731
+TIFFTAG_BASELINESHARPNESS = 50732
+TIFFTAG_BAYERGREENSPLIT = 50733
+TIFFTAG_LINEARRESPONSELIMIT = 50734
+TIFFTAG_CAMERASERIALNUMBER = 50735
+TIFFTAG_LENSINFO = 50736
+TIFFTAG_CHROMABLURRADIUS = 50737
+TIFFTAG_ANTIALIASSTRENGTH = 50738
+TIFFTAG_SHADOWSCALE = 50739
+TIFFTAG_DNGPRIVATEDATA = 50740
+TIFFTAG_MAKERNOTESAFETY = 50741
+TIFFTAG_CALIBRATIONILLUMINANT1 = 50778
+TIFFTAG_CALIBRATIONILLUMINANT2 = 50779
+TIFFTAG_BESTQUALITYSCALE = 50780
+TIFFTAG_RAWDATAUNIQUEID = 50781
+TIFFTAG_ORIGINALRAWFILENAME = 50827
+TIFFTAG_ORIGINALRAWFILEDATA = 50828
+TIFFTAG_ACTIVEAREA = 50829
+TIFFTAG_MASKEDAREAS = 50830
+TIFFTAG_ASSHOTICCPROFILE = 50831
+TIFFTAG_ASSHOTPREPROFILEMATRIX = 50832
+TIFFTAG_CURRENTICCPROFILE = 50833
+TIFFTAG_CURRENTPREPROFILEMATRIX = 50834
+TIFFTAG_COLORIMETRICREFERENCE = 50879
+TIFFTAG_CAMERACALIBRATIONSIGNATURE = 50931
+TIFFTAG_PROFILECALIBRATIONSIGNATURE = 50932
+TIFFTAG_ASSHOTPROFILENAME = 50934
+TIFFTAG_NOISEREDUCTIONAPPLIED = 50935
+TIFFTAG_PROFILENAME = 50936
+TIFFTAG_PROFILEHUESATMAPDIMS = 50937
+TIFFTAG_PROFILEHUESATMAPDATA1 = 50938
+TIFFTAG_PROFILEHUESATMAPDATA2 = 50939
+TIFFTAG_PROFILETONECURVE = 50940
+TIFFTAG_PROFILEEMBEDPOLICY = 50941
+TIFFTAG_PROFILECOPYRIGHT = 50942
+TIFFTAG_FORWARDMATRIX1 = 50964
+TIFFTAG_FORWARDMATRIX2 = 50965
+TIFFTAG_PREVIEWAPPLICATIONNAME = 50966
+TIFFTAG_PREVIEWAPPLICATIONVERSION = 50967
+TIFFTAG_PREVIEWSETTINGSNAME = 50968
+TIFFTAG_PREVIEWSETTINGSDIGEST = 50969
+TIFFTAG_PREVIEWCOLORSPACE = 50970
+TIFFTAG_PREVIEWDATETIME = 50971
+TIFFTAG_RAWIMAGEDIGEST = 50972
+TIFFTAG_ORIGINALRAWFILEDIGEST = 50973
+TIFFTAG_SUBTILEBLOCKSIZE = 50974
+TIFFTAG_ROWINTERLEAVEFACTOR = 50975
+TIFFTAG_PROFILELOOKTABLEDIMS = 50981
+TIFFTAG_PROFILELOOKTABLEDATA = 50982
+TIFFTAG_OPCODELIST1 = 51008
+TIFFTAG_OPCODELIST2 = 51009
+TIFFTAG_OPCODELIST3 = 51022
+TIFFTAG_NOISEPROFILE = 51041
+TIFFTAG_DEFAULTUSERCROP = 51125
+TIFFTAG_DEFAULTBLACKRENDER = 51110
+TIFFTAG_BASELINEEXPOSUREOFFSET = 51109
+TIFFTAG_PROFILELOOKTABLEENCODING = 51108
+TIFFTAG_PROFILEHUESATMAPENCODING = 51107
+TIFFTAG_ORIGINALDEFAULTFINALSIZE = 51089
+TIFFTAG_ORIGINALBESTQUALITYFINALSIZE = 51090
+TIFFTAG_ORIGINALDEFAULTCROPSIZE = 51091
+TIFFTAG_NEWRAWIMAGEDIGEST = 51111
+TIFFTAG_RAWTOPREVIEWGAIN = 51112
+TIFFTAG_DEPTHFORMAT = 51177
+TIFFTAG_DEPTHNEAR = 51178
+TIFFTAG_DEPTHFAR = 51179
+TIFFTAG_DEPTHUNITS = 51180
+TIFFTAG_DEPTHMEASURETYPE = 51181
+TIFFTAG_ENHANCEPARAMS = 51182
+TIFFTAG_PROFILEGAINTABLEMAP = 52525
+TIFFTAG_SEMANTICNAME = 52526
+TIFFTAG_SEMANTICINSTANCEID = 52528
+TIFFTAG_MASKSUBAREA = 52536
+TIFFTAG_RGBTABLES = 52543
+TIFFTAG_CALIBRATIONILLUMINANT3 = 52529
+TIFFTAG_COLORMATRIX3 = 52531
+TIFFTAG_CAMERACALIBRATION3 = 52530
+TIFFTAG_REDUCTIONMATRIX3 = 52538
+TIFFTAG_PROFILEHUESATMAPDATA3 = 52537
+TIFFTAG_FORWARDMATRIX3 = 52532
+TIFFTAG_ILLUMINANTDATA1 = 52533
+TIFFTAG_ILLUMINANTDATA2 = 52534
+TIFFTAG_ILLUMINANTDATA3 = 53535
+TIFFTAG_EP_CFAREPEATPATTERNDIM = 33421
+TIFFTAG_EP_CFAPATTERN = 33422
+TIFFTAG_EP_BATTERYLEVEL = 33423
+TIFFTAG_EP_INTERLACE = 34857
+TIFFTAG_EP_IPTC_NAA = 33723
+TIFFTAG_EP_TIMEZONEOFFSET = 34858
+TIFFTAG_EP_SELFTIMERMODE = 34859
+TIFFTAG_EP_FLASHENERGY = 37387
+TIFFTAG_EP_SPATIALFREQUENCYRESPONSE = 37388
+TIFFTAG_EP_NOISE = 37389
+TIFFTAG_EP_FOCALPLANEXRESOLUTION = 37390
+TIFFTAG_EP_FOCALPLANEYRESOLUTION = 37391
+TIFFTAG_EP_FOCALPLANERESOLUTIONUNIT = 37392
+TIFFTAG_EP_IMAGENUMBER = 37393
+TIFFTAG_EP_SECURITYCLASSIFICATION = 37394
+TIFFTAG_EP_IMAGEHISTORY = 37395
+TIFFTAG_EP_EXPOSUREINDEX = 37397
+TIFFTAG_EP_STANDARDID = 37398
+TIFFTAG_EP_SENSINGMETHOD = 37399
+TIFFTAG_EP_EXPOSURETIME = 33434
+TIFFTAG_EP_FNUMBER = 33437
+TIFFTAG_EP_EXPOSUREPROGRAM = 34850
+TIFFTAG_EP_SPECTRALSENSITIVITY = 34852
+TIFFTAG_EP_ISOSPEEDRATINGS = 34855
+TIFFTAG_EP_OECF = 34856
+TIFFTAG_EP_DATETIMEORIGINAL = 36867
+TIFFTAG_EP_COMPRESSEDBITSPERPIXEL = 37122
+TIFFTAG_EP_SHUTTERSPEEDVALUE = 37377
+TIFFTAG_EP_APERTUREVALUE = 37378
+TIFFTAG_EP_BRIGHTNESSVALUE = 37379
+TIFFTAG_EP_EXPOSUREBIASVALUE = 37380
+TIFFTAG_EP_MAXAPERTUREVALUE = 37381
+TIFFTAG_EP_SUBJECTDISTANCE = 37382
+TIFFTAG_EP_METERINGMODE = 37383
+TIFFTAG_EP_LIGHTSOURCE = 37384
+TIFFTAG_EP_FLASH = 37385
+TIFFTAG_EP_FOCALLENGTH = 37386
+TIFFTAG_EP_SUBJECTLOCATION = 37396
+TIFFTAG_RPCCOEFFICIENT = 50844
+TIFFTAG_ALIAS_LAYER_METADATA = 50784
+TIFFTAG_TIFF_RSID = 50908
+TIFFTAG_GEO_METADATA = 50909
+TIFFTAG_EXTRACAMERAPROFILES = 50933
+TIFFTAG_DCSHUESHIFTVALUES = 65535
+TIFFTAG_FAXMODE = 65536
+FAXMODE_CLASSIC = 0
+FAXMODE_NORTC = 1
+FAXMODE_NOEOL = 2
+FAXMODE_BYTEALIGN = 4
+FAXMODE_WORDALIGN = 8
+FAXMODE_CLASSF = 1
+TIFFTAG_JPEGQUALITY = 65537
+TIFFTAG_JPEGCOLORMODE = 65538
+JPEGCOLORMODE_RAW = 0
+JPEGCOLORMODE_RGB = 1
+TIFFTAG_JPEGTABLESMODE = 65539
+JPEGTABLESMODE_QUANT = 1
+JPEGTABLESMODE_HUFF = 2
+TIFFTAG_FAXFILLFUNC = 65540
+TIFFTAG_PIXARLOGDATAFMT = 65549
+PIXARLOGDATAFMT_8BIT = 0
+PIXARLOGDATAFMT_8BITABGR = 1
+PIXARLOGDATAFMT_11BITLOG = 2
+PIXARLOGDATAFMT_12BITPICIO = 3
+PIXARLOGDATAFMT_16BIT = 4
+PIXARLOGDATAFMT_FLOAT = 5
+TIFFTAG_DCSIMAGERTYPE = 65550
+DCSIMAGERMODEL_M3 = 0
+DCSIMAGERMODEL_M5 = 1
+DCSIMAGERMODEL_M6 = 2
+DCSIMAGERFILTER_IR = 0
+DCSIMAGERFILTER_MONO = 1
+DCSIMAGERFILTER_CFA = 2
+DCSIMAGERFILTER_OTHER = 3
+TIFFTAG_DCSINTERPMODE = 65551
+DCSINTERPMODE_NORMAL = 0
+DCSINTERPMODE_PREVIEW = 1
+TIFFTAG_DCSBALANCEARRAY = 65552
+TIFFTAG_DCSCORRECTMATRIX = 65553
+TIFFTAG_DCSGAMMA = 65554
+TIFFTAG_DCSTOESHOULDERPTS = 65555
+TIFFTAG_DCSCALIBRATIONFD = 65556
+TIFFTAG_ZIPQUALITY = 65557
+TIFFTAG_PIXARLOGQUALITY = 65558
+TIFFTAG_DCSCLIPRECTANGLE = 65559
+TIFFTAG_SGILOGDATAFMT = 65560
+SGILOGDATAFMT_FLOAT = 0
+SGILOGDATAFMT_16BIT = 1
+SGILOGDATAFMT_RAW = 2
+SGILOGDATAFMT_8BIT = 3
+TIFFTAG_SGILOGENCODE = 65561
+SGILOGENCODE_NODITHER = 0
+SGILOGENCODE_RANDITHER = 1
+TIFFTAG_LZMAPRESET = 65562
+TIFFTAG_PERSAMPLE = 65563
+PERSAMPLE_MERGED = 0
+PERSAMPLE_MULTI = 1
+TIFFTAG_ZSTD_LEVEL = 65564
+TIFFTAG_LERC_VERSION = 65565
+LERC_VERSION_2_4 = 4
+TIFFTAG_LERC_ADD_COMPRESSION = 65566
+LERC_ADD_COMPRESSION_NONE = 0
+LERC_ADD_COMPRESSION_DEFLATE = 1
+LERC_ADD_COMPRESSION_ZSTD = 2
+TIFFTAG_LERC_MAXZERROR = 65567
+TIFFTAG_WEBP_LEVEL = 65568
+TIFFTAG_WEBP_LOSSLESS = 65569
+TIFFTAG_WEBP_LOSSLESS_EXACT = 65571
+TIFFTAG_DEFLATE_SUBCODEC = 65570
+DEFLATE_SUBCODEC_ZLIB = 0
+DEFLATE_SUBCODEC_LIBDEFLATE = 1
+EXIFTAG_EXPOSURETIME = 33434
+EXIFTAG_FNUMBER = 33437
+EXIFTAG_EXPOSUREPROGRAM = 34850
+EXIFTAG_SPECTRALSENSITIVITY = 34852
+EXIFTAG_ISOSPEEDRATINGS = 34855
+EXIFTAG_PHOTOGRAPHICSENSITIVITY = 34855
+EXIFTAG_OECF = 34856
+EXIFTAG_EXIFVERSION = 36864
+EXIFTAG_DATETIMEORIGINAL = 36867
+EXIFTAG_DATETIMEDIGITIZED = 36868
+EXIFTAG_COMPONENTSCONFIGURATION = 37121
+EXIFTAG_COMPRESSEDBITSPERPIXEL = 37122
+EXIFTAG_SHUTTERSPEEDVALUE = 37377
+EXIFTAG_APERTUREVALUE = 37378
+EXIFTAG_BRIGHTNESSVALUE = 37379
+EXIFTAG_EXPOSUREBIASVALUE = 37380
+EXIFTAG_MAXAPERTUREVALUE = 37381
+EXIFTAG_SUBJECTDISTANCE = 37382
+EXIFTAG_METERINGMODE = 37383
+EXIFTAG_LIGHTSOURCE = 37384
+EXIFTAG_FLASH = 37385
+EXIFTAG_FOCALLENGTH = 37386
+EXIFTAG_SUBJECTAREA = 37396
+EXIFTAG_MAKERNOTE = 37500
+EXIFTAG_USERCOMMENT = 37510
+EXIFTAG_SUBSECTIME = 37520
+EXIFTAG_SUBSECTIMEORIGINAL = 37521
+EXIFTAG_SUBSECTIMEDIGITIZED = 37522
+EXIFTAG_FLASHPIXVERSION = 40960
+EXIFTAG_COLORSPACE = 40961
+EXIFTAG_PIXELXDIMENSION = 40962
+EXIFTAG_PIXELYDIMENSION = 40963
+EXIFTAG_RELATEDSOUNDFILE = 40964
+EXIFTAG_FLASHENERGY = 41483
+EXIFTAG_SPATIALFREQUENCYRESPONSE = 41484
+EXIFTAG_FOCALPLANEXRESOLUTION = 41486
+EXIFTAG_FOCALPLANEYRESOLUTION = 41487
+EXIFTAG_FOCALPLANERESOLUTIONUNIT = 41488
+EXIFTAG_SUBJECTLOCATION = 41492
+EXIFTAG_EXPOSUREINDEX = 41493
+EXIFTAG_SENSINGMETHOD = 41495
+EXIFTAG_FILESOURCE = 41728
+EXIFTAG_SCENETYPE = 41729
+EXIFTAG_CFAPATTERN = 41730
+EXIFTAG_CUSTOMRENDERED = 41985
+EXIFTAG_EXPOSUREMODE = 41986
+EXIFTAG_WHITEBALANCE = 41987
+EXIFTAG_DIGITALZOOMRATIO = 41988
+EXIFTAG_FOCALLENGTHIN35MMFILM = 41989
+EXIFTAG_SCENECAPTURETYPE = 41990
+EXIFTAG_GAINCONTROL = 41991
+EXIFTAG_CONTRAST = 41992
+EXIFTAG_SATURATION = 41993
+EXIFTAG_SHARPNESS = 41994
+EXIFTAG_DEVICESETTINGDESCRIPTION = 41995
+EXIFTAG_SUBJECTDISTANCERANGE = 41996
+EXIFTAG_IMAGEUNIQUEID = 42016
+EXIFTAG_SENSITIVITYTYPE = 34864
+EXIFTAG_STANDARDOUTPUTSENSITIVITY = 34865
+EXIFTAG_RECOMMENDEDEXPOSUREINDEX = 34866
+EXIFTAG_ISOSPEED = 34867
+EXIFTAG_ISOSPEEDLATITUDEYYY = 34868
+EXIFTAG_ISOSPEEDLATITUDEZZZ = 34869
+EXIFTAG_OFFSETTIME = 36880
+EXIFTAG_OFFSETTIMEORIGINAL = 36881
+EXIFTAG_OFFSETTIMEDIGITIZED = 36882
+EXIFTAG_TEMPERATURE = 37888
+EXIFTAG_HUMIDITY = 37889
+EXIFTAG_PRESSURE = 37890
+EXIFTAG_WATERDEPTH = 37891
+EXIFTAG_ACCELERATION = 37892
+EXIFTAG_CAMERAELEVATIONANGLE = 37893
+EXIFTAG_CAMERAOWNERNAME = 42032
+EXIFTAG_BODYSERIALNUMBER = 42033
+EXIFTAG_LENSSPECIFICATION = 42034
+EXIFTAG_LENSMAKE = 42035
+EXIFTAG_LENSMODEL = 42036
+EXIFTAG_LENSSERIALNUMBER = 42037
+EXIFTAG_GAMMA = 42240
+EXIFTAG_COMPOSITEIMAGE = 42080
+EXIFTAG_SOURCEIMAGENUMBEROFCOMPOSITEIMAGE = 42081
+EXIFTAG_SOURCEEXPOSURETIMESOFCOMPOSITEIMAGE = 42082
+GPSTAG_VERSIONID = 0
+GPSTAG_LATITUDEREF = 1
+GPSTAG_LATITUDE = 2
+GPSTAG_LONGITUDEREF = 3
+GPSTAG_LONGITUDE = 4
+GPSTAG_ALTITUDEREF = 5
+GPSTAG_ALTITUDE = 6
+GPSTAG_TIMESTAMP = 7
+GPSTAG_SATELLITES = 8
+GPSTAG_STATUS = 9
+GPSTAG_MEASUREMODE = 10
+GPSTAG_DOP = 11
+GPSTAG_SPEEDREF = 12
+GPSTAG_SPEED = 13
+GPSTAG_TRACKREF = 14
+GPSTAG_TRACK = 15
+GPSTAG_IMGDIRECTIONREF = 16
+GPSTAG_IMGDIRECTION = 17
+GPSTAG_MAPDATUM = 18
+GPSTAG_DESTLATITUDEREF = 19
+GPSTAG_DESTLATITUDE = 20
+GPSTAG_DESTLONGITUDEREF = 21
+GPSTAG_DESTLONGITUDE = 22
+GPSTAG_DESTBEARINGREF = 23
+GPSTAG_DESTBEARING = 24
+GPSTAG_DESTDISTANCEREF = 25
+GPSTAG_DESTDISTANCE = 26
+GPSTAG_PROCESSINGMETHOD = 27
+GPSTAG_AREAINFORMATION = 28
+GPSTAG_DATESTAMP = 29
+GPSTAG_DIFFERENTIAL = 30
+GPSTAG_GPSHPOSITIONINGERROR = 31
=====================================
libtiff/tiff_image.py
=====================================
@@ -437,7 +437,7 @@ class TIFFimage:
if compressed_data_size != image_data_size:
sdiff = image_data_size - compressed_data_size
- total_size -= sdiff
+ total_size = int(total_size) - sdiff
base = tif._mmap
if base is None:
base = tif.base
=====================================
libtiff/utils.py
=====================================
@@ -19,6 +19,7 @@ def isindisk(path):
def bytes2str(bytes):
lst = []
+ bytes = int(bytes)
Pbytes = bytes // 1024**5
if Pbytes:
lst.append('%sPi' % (Pbytes))
=====================================
pyproject.toml
=====================================
@@ -1,5 +1,5 @@
[build-system]
-requires = ["setuptools>=60", "wheel", "setuptools_scm[toml]>=8.0", 'oldest-supported-numpy']
+requires = ["setuptools>=60", "wheel", "setuptools_scm[toml]>=8.0", 'numpy>=2.0.0']
build-backend = "setuptools.build_meta"
[tool.setuptools_scm]
View it on GitLab: https://salsa.debian.org/debian-gis-team/pylibtiff/-/compare/1f304abce33fc8ffe7199bd7a0858922be4eb198...3e8dcfccebb3f91098769a249efc1d3a71ac7186
--
View it on GitLab: https://salsa.debian.org/debian-gis-team/pylibtiff/-/compare/1f304abce33fc8ffe7199bd7a0858922be4eb198...3e8dcfccebb3f91098769a249efc1d3a71ac7186
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