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https://github.com/psycopg/psycopg2.git
synced 2024-11-10 19:16:34 +03:00
Drop support for EOL Python 3.0-3.3
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ea76504cd1
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@ -15,7 +15,7 @@ environment:
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# http://www.appveyor.com/docs/installed-software#python
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# Py 2.7 = VS Ver. 9.0 (VS 2008)
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# Py 3.3, 3.4 = VS Ver. 10.0 (VS 2010)
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# Py 3.4 = VS Ver. 10.0 (VS 2010)
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# Py 3.5, 3.6 = VS Ver. 14.0 (VS 2015)
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- PYTHON: C:\Python27-x64
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@ -51,15 +51,6 @@ environment:
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PYTHON_ARCH: 32
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VS_VER: 10.0
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- PYTHON: C:\Python33-x64
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DISTUTILS_USE_SDK: '1'
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PYTHON_ARCH: 64
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VS_VER: 10.0
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- PYTHON: C:\Python33
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PYTHON_ARCH: 32
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VS_VER: 10.0
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PSYCOPG2_TESTDB: psycopg2_test
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PSYCOPG2_TESTDB_USER: postgres
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PSYCOPG2_TESTDB_PASSWORD: Password12!
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@ -9,8 +9,6 @@ python:
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- 3.6
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- 3.5
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- 3.4
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- 3.3
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- 3.2
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install:
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- python setup.py install
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@ -18,7 +18,7 @@ The current `!psycopg2` implementation supports:
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NOTE: keep consistent with setup.py and the /features/ page.
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- Python version 2.7
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- Python 3 versions from 3.2 to 3.6
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- Python 3 versions from 3.4 to 3.6
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- PostgreSQL server versions from 7.4 to 10
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- PostgreSQL client library version from 9.1
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6
setup.py
6
setup.py
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@ -78,8 +78,6 @@ Programming Language :: Python
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Programming Language :: Python :: 2
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Programming Language :: Python :: 2.7
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Programming Language :: Python :: 3
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Programming Language :: Python :: 3.2
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Programming Language :: Python :: 3.3
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Programming Language :: Python :: 3.4
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Programming Language :: Python :: 3.5
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Programming Language :: Python :: 3.6
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@ -295,7 +293,7 @@ class psycopg_build_ext(build_ext):
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# For Python versions that use MSVC compiler 2008, re-insert the
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# manifest into the resulting .pyd file.
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if self.compiler_is_msvc() and sysVer in ((2, 7), (3, 0), (3, 1), (3, 2)):
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if self.compiler_is_msvc() and sysVer == (2, 7):
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platform = get_platform()
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# Default to the x86 manifest
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manifest = '_psycopg.vc9.x86.manifest'
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@ -619,7 +617,7 @@ setup(name="psycopg2",
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download_url=download_url,
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license="LGPL with exceptions or ZPL",
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platforms=["any"],
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python_requires='>=2.7,!=3.0.*,!=3.1.*',
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python_requires='>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*',
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description=readme.split("\n")[0],
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long_description="\n".join(readme.split("\n")[2:]).lstrip(),
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classifiers=[x for x in classifiers.split("\n") if x],
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