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eggtestinfo README Overview This package is a setuptools plugin: it adds a file to the generated .egg-info directory, capturing the information used by the setup.py test command when running tests.In particular, the generated file contains the following information:test_module The dotted name of a module holding a test_suite function which can be called to compute a unittest.TestSuite for the...
========= eliottree ========= |build|_ |coverage|_ Render `Eliot <https://github.com/ClusterHQ/eliot>`_ logs as an ASCII tree. This output: .. code-block:: $ eliot-tree eliot.log f3a32bb3-ea6b-457c-aa99-08a3d0491ab4 +-- app:soap:client:request@1/started |-- dump: /home/user/dump_files/20150303/1425356936.28_Client_req.xml |-- soapAction: a_soap_action |-- ...
Entry points are a way for Python packages to advertise objects with some common interface. The most common examples are ``console_scripts`` entry points, which define shell commands by identifying a Python function to run. *Groups* of entry points, such as ``console_scripts``, point to objects with similar interfaces. An application might use a group to find its plugins, or multiple groups...
Entry points are a way for Python packages to advertise objects with some common interface. The most common examples are console_scripts entry points, which define shell commands by identifying a Python function to run. The entrypoints module contains functions to find and load entry points.
Python 3.4 introduced official support for enumerations. This is a backport of that feature to Python 3.3, 3.2, 3.1, 2.7, 2.5, 2.5, and 2.4. An enumeration is a set of symbolic names (members) bound to unique, constant values. Within an enumeration, the members can be compared by identity, and the enumeration itself can be iterated over. This module defines two enumeration classes that can be used to define unique sets of names and values: Enum and IntEnum. It also defines one decorator, unique, that ensures only unique member names are present in an enumeration.
Eventlet is a networking library written in Python. It achieves high scalability by using non-blocking io while at the same time retaining high programmer usability by using coroutines to make the non-blocking io operations appear blocking at the source code level.