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pyjpegls

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1.3.0 pyjpegls-1.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pyjpegls-1.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pyjpegls-1.3.0-cp39-cp39-win_amd64.whl
pyjpegls-1.3.0-cp39-cp39-macosx_10_9_x86_64.whl
pyjpegls-1.3.0-cp39-cp39-macosx_11_0_arm64.whl
pyjpegls-1.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pyjpegls-1.3.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pyjpegls-1.3.0-cp38-cp38-win_amd64.whl
pyjpegls-1.3.0-cp38-cp38-macosx_10_9_x86_64.whl
pyjpegls-1.3.0-cp38-cp38-macosx_11_0_arm64.whl
pyjpegls-1.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pyjpegls-1.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pyjpegls-1.3.0-cp312-cp312-win_amd64.whl
pyjpegls-1.3.0-cp312-cp312-macosx_10_9_x86_64.whl
pyjpegls-1.3.0-cp312-cp312-macosx_11_0_arm64.whl
pyjpegls-1.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pyjpegls-1.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pyjpegls-1.3.0-cp311-cp311-win_amd64.whl
pyjpegls-1.3.0-cp311-cp311-macosx_10_9_x86_64.whl
pyjpegls-1.3.0-cp311-cp311-macosx_11_0_arm64.whl
pyjpegls-1.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pyjpegls-1.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pyjpegls-1.3.0-cp310-cp310-win_amd64.whl
pyjpegls-1.3.0-cp310-cp310-macosx_10_9_x86_64.whl
pyjpegls-1.3.0-cp310-cp310-macosx_11_0_arm64.whl

Wheel Details

Project: pyjpegls
Version: 1.3.0
Filename: pyjpegls-1.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Download: [link]
Size: 2713611
MD5: 06173a240427ca7cecd5595eb61ef076
SHA256: 64a8eb47e1eaf942fb10e2d5ef2212104d19bef7e9dc9cd4cf82b6d34c65bec2
Uploaded: 2024-02-18 06:44:35 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: pyjpegls
Version: 1.3.0
Summary: JPEG-LS for Python via CharLS C++ Library
Author: pydicom contributors
Author-Email: "Pierre V. Villeneuve" <pierre.villeneuve[at]gmail.com>
Project-Url: documentation, https://pydicom.github.io/pydicom
Project-Url: download, https://github.com/pydicom/pyjpegls/archive/master.zip
Project-Url: homepage, https://github.com/pydicom/pyjpegls
Project-Url: repository, https://github.com/pydicom/pyjpegls
License: MIT
Keywords: python, jpeg
Classifier: License :: OSI Approved :: MIT License
Classifier: Development Status :: 5 - Production/Stable
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: File Formats
Classifier: Topic :: Scientific/Engineering :: Image Processing
Requires-Python: >=3.8
Requires-Dist: numpy (>=1.24)
Description-Content-Type: text/markdown
[Description omitted; length: 3127 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.42.0)
Root-Is-Purelib: false
Tag: cp39-cp39-manylinux_2_17_x86_64
Tag: cp39-cp39-manylinux2014_x86_64

RECORD

Path Digest Size
_CharLS.cpython-39-x86_64-linux-gnu.so sha256=-h0oDbi9OCA8E-Hnap3zpZizQa-cx_ljG_TlAHtr4zQ 6601360
pyjpegls-1.3.0.dist-info/METADATA sha256=KSwZADGEYSdH9xmjd2V3zVLh5GciGY3hIDeNJMls5kQ 4520
pyjpegls-1.3.0.dist-info/top_level.txt sha256=Dr3kJtOpIGlM1pqaYKuLugMeAnNIZorU5et1wnS_-Yg 16
pyjpegls-1.3.0.dist-info/WHEEL sha256=uQ9JcPdAMEhlCRnfrhg6ydnbrPot9NaB8igB3QVnPX0 148
pyjpegls-1.3.0.dist-info/RECORD — —
jpeg_ls/_CharLS.cpp sha256=FnSdDYtCXEwcc06VeueOWmyw-XXr_L0PEHQHDLx_sSM 577684
jpeg_ls/example.py sha256=h1SN2uwd8UOMAM4wSz1Vn57C-5n12mS3W3KWSn2eSeQ 913
jpeg_ls/data_io.py sha256=L_cDU3W-a1bTFif4hL2alZwdSQ_bmIM0ZjOb3U-G_R8 675
jpeg_ls/CharLS.py sha256=7R-ar3wlVAqrrhllJRkZVq50jpffmZyJFyITV-Zu2Fo 14710
jpeg_ls/__init__.py sha256=dP6mFU_roj7JDYmLVmzEoDINYEHIpNwRb_48lCZdYgo 777
jpeg_ls/_CharLS.pyx sha256=mavy641M84FUma-9XI9OfioGJ5qxHTQe3j1a1dBrHJQ 10987
jpeg_ls/define_charls_dll.h sha256=RGuWiE4kmIPmB_CTQCJLWAYSK4fKAcj6bvaZgdFTEH4 187
jpeg_ls/tests/test_encode.py sha256=AyHj9OSRn5obFSKb_QuYR7iwhxTkiSWQd2X9EY2UQTY 18448
jpeg_ls/tests/test_decode.py sha256=yT_eZWkUKkhSQSjVTJApWs66Pe89-lp24ICs2qdAJJA 18928
jpeg_ls/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
jpeg_ls/tests/jlsimV100/T8SSE3.JLS sha256=IV4-F2EkdJkXupZ2xFlwlyVyHMJuCFG0-XwapfZ3-w8 32231
jpeg_ls/tests/jlsimV100/TEST8.PPM sha256=p-yqhBuKfcExpzAH8NbAdzLpAQKYEORco8x4j9-elZM 196623
jpeg_ls/tests/jlsimV100/README_IMG.TXT sha256=CfhG64Ap10iPzmPiE2F9liY95yWPzDcFG_Xr0-ttFiA 3157
jpeg_ls/tests/jlsimV100/T8C2E3.JLS sha256=3x-o4awyVqLqImmW0nyL1QSnygg4VnSu33e27dQr6N4 62300
jpeg_ls/tests/jlsimV100/T8C1E3.JLS sha256=vkHJwmh1QtRSFxrmKcdpBbevcHPZ21b5pUm2Mj327R4 63005
jpeg_ls/tests/jlsimV100/T8NDE0.JLS sha256=w-EkTfwDVibL3qeomoEg_eOuTesihHaVkoz71fNohK4 9421
jpeg_ls/tests/jlsimV100/T8C0E0.JLS sha256=jFZPvTqGZ70HHMjZlJUv3649YttcNZvkttZzToms6m0 102248
jpeg_ls/tests/jlsimV100/TEST8BS2.PGM sha256=bPQonwr9idBiL_C_wEqDB3CxBLlpumno6VKxg0-vaaQ 16399
jpeg_ls/tests/jlsimV100/T16E3.JLS sha256=47cyfSMiR5Sb1qpFINOiYnu2DJUv8j1wDJKQCnCGOBM 42189
jpeg_ls/tests/jlsimV100/T8SSE0.JLS sha256=vugG2S-xHc2vStHbzGlWIvlf3U2KfW139y_BoNmPbSY 51781
jpeg_ls/tests/jlsimV100/TEST8GR4.PGM sha256=nLW0ORKDb86LH0DrKtZ_7Z0cMDQhZB5n1nWZCdEON9M 16398
jpeg_ls/tests/jlsimV100/T8NDE3.JLS sha256=BZfBbW1g2J8Kqecaj9a7-YLvGuItS4r8iX2vpo79kOg 6111
jpeg_ls/tests/jlsimV100/T16E0.JLS sha256=AWmqtuuDmSXMeBAW48PtGdMj-t7pnZdHN154e4jk0j8 60077
jpeg_ls/tests/jlsimV100/T8C1E0.JLS sha256=_db6IvlBNffD23ky2iFUrvx5CF_sOz9l2opi1pZLgHg 100615
jpeg_ls/tests/jlsimV100/T8C0E3.JLS sha256=Y1Zzfb9RaAAM68XkBW4E62h2ZM0VeX3jJPoIRetAfcM 63645
jpeg_ls/tests/jlsimV100/TEST8R.PGM sha256=lHT77C_lQiGwlD9PQwFPcEaaJHhlTR9Kwd4FvtPOsYI 65551
jpeg_ls/tests/jlsimV100/T8C2E0.JLS sha256=LL8dOLnRhqBup7Gcx032JZ0jjHifSe1zKajjSv1rpa4 99734
jpeg_ls/tests/jlsimV100/TEST8G.PGM sha256=rmB60bYe-jQIMamw8MIo91KQjsWbIN6qVLTAQZ0OAP0 65551
jpeg_ls/tests/jlsimV100/TEST16.PGM sha256=HrIAGg_mbJ1Ed2tAo1qqO2ik_nTLdJ5icdllIzeBSdI 131088
jpeg_ls/tests/jlsimV100/TEST8B.PGM sha256=PEpNJNV9Jq_Iara8RIbcgT6DqPWVsMDs5zehrXQCoGA 65551

top_level.txt

_CharLS
jpeg_ls