diff -pruN 1.1.4+ds-1/LICENSE 1.1.5-1/LICENSE --- 1.1.4+ds-1/LICENSE 1970-01-01 00:00:00.000000000 +0000 +++ 1.1.5-1/LICENSE 2025-08-17 10:35:46.000000000 +0000 @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2019 Lorenz Diener + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff -pruN 1.1.4+ds-1/MANIFEST.in 1.1.5-1/MANIFEST.in --- 1.1.4+ds-1/MANIFEST.in 1970-01-01 00:00:00.000000000 +0000 +++ 1.1.5-1/MANIFEST.in 2025-08-17 10:35:46.000000000 +0000 @@ -0,0 +1,2 @@ +recursive-include tests * +recursive-exclude * __pycache__ *.py[cod] diff -pruN 1.1.4+ds-1/PKG-INFO 1.1.5-1/PKG-INFO --- 1.1.4+ds-1/PKG-INFO 2019-10-11 19:01:32.000000000 +0000 +++ 1.1.5-1/PKG-INFO 2025-08-17 10:35:57.447520500 +0000 @@ -1,18 +1,107 @@ -Metadata-Version: 2.1 +Metadata-Version: 2.4 Name: blurhash -Version: 1.1.4 +Version: 1.1.5 Summary: Pure-Python implementation of the blurhash algorithm. Home-page: https://github.com/halcy/blurhash-python Author: Lorenz Diener Author-email: lorenzd+blurhashpypi@gmail.com License: MIT -Description: UNKNOWN Keywords: blurhash graphics web_development -Platform: UNKNOWN Classifier: Development Status :: 5 - Production/Stable Classifier: Intended Audience :: Developers Classifier: Topic :: Multimedia :: Graphics Classifier: License :: OSI Approved :: MIT License Classifier: Programming Language :: Python :: 2 Classifier: Programming Language :: Python :: 3 +Description-Content-Type: text/markdown +License-File: LICENSE Provides-Extra: test +Requires-Dist: pytest; extra == "test" +Requires-Dist: Pillow; extra == "test" +Requires-Dist: numpy; extra == "test" +Dynamic: author +Dynamic: author-email +Dynamic: classifier +Dynamic: home-page +Dynamic: keywords +Dynamic: license +Dynamic: license-file +Dynamic: provides-extra +Dynamic: summary + +# blurhash-python +```python +import blurhash +import PIL.Image +import numpy + +PIL.Image.open("cool_cat_small.jpg") +# Result: +``` +![A picture of a cool cat.](/cool_cat_small.jpg?raw=true "A cool cat.") +```python +blurhash.encode(numpy.array(PIL.Image.open("cool_cat_small.jpg").convert("RGB"))) +# Result: 'UBL_:rOpGG-oBUNG,qRj2so|=eE1w^n4S5NH' + +PIL.Image.fromarray(numpy.array(blurhash.decode('UBL_:rOpGG-oBUNG,qRj2so|=eE1w^n4S5NH', 128, 128)).astype('uint8')) +# Result: +``` +![Blurhash example output: A blurred cool cat.](/blurhash_example.png?raw=true "Blurhash example output: A blurred cool cat.") + +Blurhash is an algorithm that lets you transform image data into a small text representation of a blurred version of the image. This is useful since this small textual representation can be included when sending objects that may have images attached around, which then can be used to quickly create a placeholder for images that are still loading or that should be hidden behind a content warning. + +This library contains a pure-python implementation of the blurhash algorithm, closely following the original swift implementation by Dag Ågren. The module has no dependencies (the unit tests require PIL and numpy). You can install it via pip: + +```bash +$ pip3 install blurhash +``` + +It exports five functions: +* "encode" and "decode" do the actual en- and decoding of blurhash strings +* "components" returns the number of components x- and y components of a blurhash +* "srgb_to_linear" and "linear_to_srgb" are colour space conversion helpers + +Have a look at example.py for an example of how to use all of these working together. + +Documentation for each function: + +```python +blurhash.encode(image, components_x = 4, components_y = 4, linear = False): +""" +Calculates the blurhash for an image using the given x and y component counts. + +Image should be a 3-dimensional array, with the first dimension being y, the second +being x, and the third being the three rgb components that are assumed to be 0-255 +srgb integers (incidentally, this is the format you will get from a PIL RGB image). + +You can also pass in already linear data - to do this, set linear to True. This is +useful if you want to encode a version of your image resized to a smaller size (which +you should ideally do in linear colour). +""" + +blurhash.decode(blurhash, width, height, punch = 1.0, linear = False) +""" +Decodes the given blurhash to an image of the specified size. + +Returns the resulting image a list of lists of 3-value sRGB 8 bit integer +lists. Set linear to True if you would prefer to get linear floating point +RGB back. + +The punch parameter can be used to de- or increase the contrast of the +resulting image. + +As per the original implementation it is suggested to only decode +to a relatively small size and then scale the result up, as it +basically looks the same anyways. +""" + +blurhash.srgb_to_linear(value): +""" +srgb 0-255 integer to linear 0.0-1.0 floating point conversion. +""" + +blurhash.linear_to_srgb(value): +""" +linear 0.0-1.0 floating point to srgb 0-255 integer conversion. +""" +``` diff -pruN 1.1.4+ds-1/blurhash.egg-info/PKG-INFO 1.1.5-1/blurhash.egg-info/PKG-INFO --- 1.1.4+ds-1/blurhash.egg-info/PKG-INFO 2019-10-11 19:01:32.000000000 +0000 +++ 1.1.5-1/blurhash.egg-info/PKG-INFO 2025-08-17 10:35:57.000000000 +0000 @@ -1,18 +1,107 @@ -Metadata-Version: 2.1 +Metadata-Version: 2.4 Name: blurhash -Version: 1.1.4 +Version: 1.1.5 Summary: Pure-Python implementation of the blurhash algorithm. Home-page: https://github.com/halcy/blurhash-python Author: Lorenz Diener Author-email: lorenzd+blurhashpypi@gmail.com License: MIT -Description: UNKNOWN Keywords: blurhash graphics web_development -Platform: UNKNOWN Classifier: Development Status :: 5 - Production/Stable Classifier: Intended Audience :: Developers Classifier: Topic :: Multimedia :: Graphics Classifier: License :: OSI Approved :: MIT License Classifier: Programming Language :: Python :: 2 Classifier: Programming Language :: Python :: 3 +Description-Content-Type: text/markdown +License-File: LICENSE Provides-Extra: test +Requires-Dist: pytest; extra == "test" +Requires-Dist: Pillow; extra == "test" +Requires-Dist: numpy; extra == "test" +Dynamic: author +Dynamic: author-email +Dynamic: classifier +Dynamic: home-page +Dynamic: keywords +Dynamic: license +Dynamic: license-file +Dynamic: provides-extra +Dynamic: summary + +# blurhash-python +```python +import blurhash +import PIL.Image +import numpy + +PIL.Image.open("cool_cat_small.jpg") +# Result: +``` +![A picture of a cool cat.](/cool_cat_small.jpg?raw=true "A cool cat.") +```python +blurhash.encode(numpy.array(PIL.Image.open("cool_cat_small.jpg").convert("RGB"))) +# Result: 'UBL_:rOpGG-oBUNG,qRj2so|=eE1w^n4S5NH' + +PIL.Image.fromarray(numpy.array(blurhash.decode('UBL_:rOpGG-oBUNG,qRj2so|=eE1w^n4S5NH', 128, 128)).astype('uint8')) +# Result: +``` +![Blurhash example output: A blurred cool cat.](/blurhash_example.png?raw=true "Blurhash example output: A blurred cool cat.") + +Blurhash is an algorithm that lets you transform image data into a small text representation of a blurred version of the image. This is useful since this small textual representation can be included when sending objects that may have images attached around, which then can be used to quickly create a placeholder for images that are still loading or that should be hidden behind a content warning. + +This library contains a pure-python implementation of the blurhash algorithm, closely following the original swift implementation by Dag Ågren. The module has no dependencies (the unit tests require PIL and numpy). You can install it via pip: + +```bash +$ pip3 install blurhash +``` + +It exports five functions: +* "encode" and "decode" do the actual en- and decoding of blurhash strings +* "components" returns the number of components x- and y components of a blurhash +* "srgb_to_linear" and "linear_to_srgb" are colour space conversion helpers + +Have a look at example.py for an example of how to use all of these working together. + +Documentation for each function: + +```python +blurhash.encode(image, components_x = 4, components_y = 4, linear = False): +""" +Calculates the blurhash for an image using the given x and y component counts. + +Image should be a 3-dimensional array, with the first dimension being y, the second +being x, and the third being the three rgb components that are assumed to be 0-255 +srgb integers (incidentally, this is the format you will get from a PIL RGB image). + +You can also pass in already linear data - to do this, set linear to True. This is +useful if you want to encode a version of your image resized to a smaller size (which +you should ideally do in linear colour). +""" + +blurhash.decode(blurhash, width, height, punch = 1.0, linear = False) +""" +Decodes the given blurhash to an image of the specified size. + +Returns the resulting image a list of lists of 3-value sRGB 8 bit integer +lists. Set linear to True if you would prefer to get linear floating point +RGB back. + +The punch parameter can be used to de- or increase the contrast of the +resulting image. + +As per the original implementation it is suggested to only decode +to a relatively small size and then scale the result up, as it +basically looks the same anyways. +""" + +blurhash.srgb_to_linear(value): +""" +srgb 0-255 integer to linear 0.0-1.0 floating point conversion. +""" + +blurhash.linear_to_srgb(value): +""" +linear 0.0-1.0 floating point to srgb 0-255 integer conversion. +""" +``` diff -pruN 1.1.4+ds-1/blurhash.egg-info/SOURCES.txt 1.1.5-1/blurhash.egg-info/SOURCES.txt --- 1.1.4+ds-1/blurhash.egg-info/SOURCES.txt 2019-10-11 19:01:32.000000000 +0000 +++ 1.1.5-1/blurhash.egg-info/SOURCES.txt 2025-08-17 10:35:57.000000000 +0000 @@ -1,3 +1,5 @@ +LICENSE +MANIFEST.in README.md setup.cfg setup.py @@ -7,4 +9,7 @@ blurhash.egg-info/PKG-INFO blurhash.egg-info/SOURCES.txt blurhash.egg-info/dependency_links.txt blurhash.egg-info/requires.txt -blurhash.egg-info/top_level.txt \ No newline at end of file +blurhash.egg-info/top_level.txt +tests/blurhash_out.npy +tests/cool_cat.jpg +tests/test_blurhash.py \ No newline at end of file diff -pruN 1.1.4+ds-1/blurhash.egg-info/requires.txt 1.1.5-1/blurhash.egg-info/requires.txt --- 1.1.4+ds-1/blurhash.egg-info/requires.txt 2019-10-11 19:01:32.000000000 +0000 +++ 1.1.5-1/blurhash.egg-info/requires.txt 2025-08-17 10:35:57.000000000 +0000 @@ -1,5 +1,5 @@ [test] +pytest Pillow numpy -pytest diff -pruN 1.1.4+ds-1/debian/changelog 1.1.5-1/debian/changelog --- 1.1.4+ds-1/debian/changelog 2025-07-12 09:19:46.000000000 +0000 +++ 1.1.5-1/debian/changelog 2025-08-26 16:22:24.000000000 +0000 @@ -1,3 +1,10 @@ +blurhash-python (1.1.5-1) unstable; urgency=medium + + * New upstream release. + * Upstream add LICENSE file, update copyright details. + + -- Edward Betts Tue, 26 Aug 2025 17:22:24 +0100 + blurhash-python (1.1.4+ds-1) unstable; urgency=medium * Switch to correct upstream source. (Closes: #1101140) diff -pruN 1.1.4+ds-1/debian/copyright 1.1.5-1/debian/copyright --- 1.1.4+ds-1/debian/copyright 2025-02-17 11:26:02.000000000 +0000 +++ 1.1.5-1/debian/copyright 2025-08-26 16:21:51.000000000 +0000 @@ -4,7 +4,7 @@ Upstream-Contact: Lorenz Diener np.sum(np.var(decoded_image, axis = 1)) + + blur_hash = blurhash.encode(np.array(image.convert("RGB")), components_x = 8, components_y = 2) + decoded_image = blurhash.decode(blur_hash, 32, 32) + assert np.sum(np.var(decoded_image, axis = 0)) < np.sum(np.var(decoded_image, axis = 1)) + +def test_components(): + image = PIL.Image.open(os.path.join(base_path, "cool_cat.jpg")) + blur_hash = blurhash.encode(np.array(image.convert("RGB")), components_x = 8, components_y = 3) + size_x, size_y = blurhash.components(blur_hash) + assert size_x == 8 + assert size_y == 3 + +def test_linear_dc_only(): + image = PIL.Image.open(os.path.join(base_path, "cool_cat.jpg")) + linearish_image = np.array(image.convert("RGB")) / 255.0 + blur_hash = blurhash.encode(linearish_image, components_x = 1, components_y = 1, linear = True) + avg_color = blurhash.decode(blur_hash, 1, 1, linear = True) + reference_avg_color = np.mean(linearish_image.reshape(linearish_image.shape[0] * linearish_image.shape[1], -1), 0) + assert np.sum(np.abs(avg_color - reference_avg_color)) < 0.01 + +def test_invalid_parameters(): + image = np.array(PIL.Image.open(os.path.join(base_path, "cool_cat.jpg")).convert("RGB")) + + with pytest.raises(ValueError): + blurhash.decode("UBMO", 32, 32) + + with pytest.raises(ValueError): + blurhash.decode("UBMOZfK1GG%LBBNG", 32, 32) + + with pytest.raises(ValueError): + blurhash.encode(image, components_x = 0, components_y = 1) + + with pytest.raises(ValueError): + blurhash.encode(image, components_x = 1, components_y = 0) + + with pytest.raises(ValueError): + blurhash.encode(image, components_x = 1, components_y = 10) + + with pytest.raises(ValueError): + blurhash.encode(image, components_x = 10, components_y = 1)