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python-paver-1.2.1-1.fc19.noarch

Paver is a Python-based build/distribution/deployment scripting tool along the lines of Make or Rake. What makes Paver unique is its integration with commonly used Python libraries. Common tasks that were easy before remain easy. More importantly, dealing with your applications specific needs and requirements is now much easier. * Build files are just Python * One file with one syntax, pavement.py, knows how to manage your project * File operations are unbelievably easy, thanks to the built-in version of Jason Orendorff’s path.py. * Need to do something that takes 5 lines of code? It’ll only take 5 lines of code.. * Completely encompasses distutils and setuptools so that you can customize behavior as you need to. * Wraps Sphinx for generating documentation, and adds utilities that make it easier to incorporate fully tested sample code. * Wraps Subversion for working with code that is checked out. * Wraps virtualenv to allow you to trivially create a bootstrap script that gets a virtual environment up and running. This is a great way to install packages into a contained environment. * Can use all of these other libraries, but requires none of them * Easily transition from setup.py without making your users learn about or even install Paver! (See the Getting Started Guide for an example).

python-pbr-0.5.21-2.lbn13.noarch

PBR is a library that injects some useful and sensible default behaviors into your setuptools run. It started off life as the chunks of code that were copied between all of the OpenStack projects. Around the time that OpenStack hit 18 different projects each with at least 3 active branches, it seems like a good time to make that code into a proper re-usable library.

python-pbr-0.8.0-3.lbn19.noarch

PBR is a library that injects some useful and sensible default behaviors into your setuptools run. It started off life as the chunks of code that were copied between all of the OpenStack projects. Around the time that OpenStack hit 18 different projects each with at least 3 active branches, it seems like a good time to make that code into a proper re-usable library.

python-pdfminer-20140328-1.lbn19.noarch

PDFMiner is a tool for extracting information from PDF documents. Unlike other PDF-related tools, it focuses entirely on getting and analyzing text data. PDFMiner allows to obtain the exact location of texts in a page, as well as other information such as fonts or lines. It includes a PDF converter that can transform PDF files into other text formats (such as HTML). It has an extensible PDF parser that can be used for other purposes instead of text analysis.

python-pdfminer-20140328-1.lbn19.noarch

PDFMiner is a tool for extracting information from PDF documents. Unlike other PDF-related tools, it focuses entirely on getting and analyzing text data. PDFMiner allows to obtain the exact location of texts in a page, as well as other information such as fonts or lines. It includes a PDF converter that can transform PDF files into other text formats (such as HTML). It has an extensible PDF parser that can be used for other purposes instead of text analysis.

python-peak-rules-0.5a1.dev-10.2600.fc13.noarch

PEAK-Rules is a highly-extensible framework for creating and using generic functions, from the very simple to the very complex. Out of the box, it supports multiple-dispatch on positional arguments using tuples of types, full predicate dispatch using strings containing Python expressions, and CLOS-like method combining. (But the framework allows you to mix and match dispatch engines and custom method combinations, if you need or want to.)

python-peak-rules-0.5a1.dev-16.a1.dev.20100803svn2646.fc19.noarch

PEAK-Rules is a highly-extensible framework for creating and using generic functions, from the very simple to the very complex. Out of the box, it supports multiple-dispatch on positional arguments using tuples of types, full predicate dispatch using strings containing Python expressions, and CLOS-like method combining. (But the framework allows you to mix and match dispatch engines and custom method combinations, if you need or want to.)

python-peak-util-addons-0.6-4.fc12.noarch

In any sufficiently-sized application or framework, it's common to end up lumping a lot of different concerns into the same class. For example, you may have business logic, persistence code, and UI all jammed into a single class. Attribute and method names for all sorts of different operations get shoved into a single namespace -- even when using mixin classes. Separating concerns into different objects, however, makes it easier to write reusable and separately-testable components. The AddOns package (``peak.util.addons``) lets you manage concerns using ``AddOn`` classes.

python-peak-util-addons-0.7-6.fc19.noarch

In any sufficiently-sized application or framework, it's common to end up lumping a lot of different concerns into the same class. For example, you may have business logic, persistence code, and UI all jammed into a single class. Attribute and method names for all sorts of different operations get shoved into a single namespace -- even when using mixin classes. Separating concerns into different objects, however, makes it easier to write reusable and separately-testable components. The AddOns package (``peak.util.addons``) lets you manage concerns using ``AddOn`` classes.

python-peak-util-assembler-0.5-4.fc12.noarch

peak.util.assembler is a simple bytecode assembler module that handles most low-level bytecode generation details like jump offsets, stack size tracking, line number table generation, constant and variable name index tracking, etc. That way, you can focus your attention on the desired semantics of your bytecode instead of on these mechanical issues. In addition to a low-level opcode-oriented API for directly generating specific Python bytecodes, this module also offers an extensible mini-AST framework for generating code from high-level specifications. This framework does most of the work needed to transform tree-like structures into linear bytecode instructions, and includes the ability to do compile-time constant folding.