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libquadmath-static-10.0.1-0.8.lbn25.x86_64
This package contains static libraries for building Fortran programs
using REAL*16 and programs using __float128 math.
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Core Linux
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BastionLinux 25
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python3-persistent-4.9.0-1.lbn36.x86_64
persistent: automatic persistence for Python objects :target:
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Plone 5
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BastionLinux 36
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python3-persistent-devel-4.9.0-1.lbn36.x86_64
persistent include files
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Plone 5
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BastionLinux 36
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python3-sphinxtheme-bastion-0.7.1-1.lbn36.noarch
sphinx.themes.bastion is a collection of Sphinx themes for the Bastion documentation project.
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Plone 5
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BastionLinux 36
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python3-sphinxtheme-plone-0.5.8-1.lbn36.noarch
sphinx.themes.plone is a collection of Sphinx themes for the Plone documentation project.
The different themes are used on docs.plone.org, but are not limited for this purpose. It might be used for all Plone Package Documentations, or even private use case but than without the Plone Logo and Footer (respect the License).
Features
sphinxtheme.plone comes with own themes for
Plone Classic (Plone 2.0-3.3 Design)
Plone Sunburst (Plone 4 Design)
Plone Barceloneta (Plone 5 Design)
Plone Org 4 (Generation of Plone 4)
Plone Org 5 (Generation of Plone 5)
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Plone 5
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BastionLinux 36
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python3-grpc-interceptor-0.15.4-1.lbn36.noarch
[![Tests]( [![Codecov]( [![Read the Docs]( [![PyPI]( SummarySimplified Python
gRPC interceptors.The Python grpc package provides service interceptors, but
they're a bit hard to
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Data Science
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BastionLinux 36
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python3-grpcio-1.68.0-1.lbn36.x86_64
gRPC Python
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Data Science
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BastionLinux 36
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python3-grpcio-health-checking-1.48.4-41.lbn36.noarch
gRPC Python Health Checking
===========================
Reference package for GRPC Python health checking.
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Data Science
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BastionLinux 36
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python3-grpcio-status-1.59.0-1.lbn36.noarch
gRPC Python Status Proto Reference package for GRPC Python status proto
mapping.Supported Python Versions - Python > 3.7Dependencies Depends on the
grpcio package, available from PyPI via pip install grpcio.
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Data Science
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BastionLinux 36
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python3-validators-0.34.0-2.lbn36.noarch
Python has all kinds of data validation tools, but every one of them seems to
require defining a schema or form. I wanted to create a simple validation
library where validating a simple value does not require defining a form or
a schema.
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Data Science
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BastionLinux 36