python remote call module
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Python Remote Call Module 0.0.3
Python Remote Call Module allows to transparently work with remote object in a python program. more>>
Python Remote Call Module allows to transparently work with remote object in a python program.
To make this possible a kind of peer-to-peer design is used. Servers can be created explictly, as can clients by explicitly connecting to a server. If a client needs to have a server, e.g. so a reference to a local object can be passed to a remote destination, it is instantiated as needed.
Clients can have multiple connections. New connections are created when needed, e.g. when a remote reference to a new server is recieved.
WARNING:
This module is still in its experimental phase, so it is kind of usable, but an awful lot of bugs is still in it, and quite a few parts are not coded yet, others arent even designed yet.
Therefor lots of changes and outdated documentation should be expected.
Enhancements:
- All previous stub objects have been replaced by a single stub object which uses on-demand retrieval of attributes of remote objects.
- This way, the behavior of the stub object is much more flexible and smoother.
- A first draft of an authentication framework has been implemented so PyRCall can support many different authentication methods.
- Support for username/password-based authentication has been implemented.
<<lessTo make this possible a kind of peer-to-peer design is used. Servers can be created explictly, as can clients by explicitly connecting to a server. If a client needs to have a server, e.g. so a reference to a local object can be passed to a remote destination, it is instantiated as needed.
Clients can have multiple connections. New connections are created when needed, e.g. when a remote reference to a new server is recieved.
WARNING:
This module is still in its experimental phase, so it is kind of usable, but an awful lot of bugs is still in it, and quite a few parts are not coded yet, others arent even designed yet.
Therefor lots of changes and outdated documentation should be expected.
Enhancements:
- All previous stub objects have been replaced by a single stub object which uses on-demand retrieval of attributes of remote objects.
- This way, the behavior of the stub object is much more flexible and smoother.
- A first draft of an authentication framework has been implemented so PyRCall can support many different authentication methods.
- Support for username/password-based authentication has been implemented.
Download (0.005MB)
Added: 2005-12-29 License: GPL (GNU General Public License) Price:
1399 downloads
Python lambda calculus module 1.0
Python lambda calculus module project is a simple but full-featured module for exploring lambda calculus. more>>
Python lambda calculus module project is a simple but full-featured module for exploring lambda calculus.
It understands the different types of lambda expressions, can extract lists of variables (both free and bound) and subterms, and can simplify complicated expressions by means of application.
Notations for lambda expressions vary slightly, so it is instructive to detail the precise notation used by this module. A variable is expressed with a string of alphanumeric characters, e.g., x or abc1.
Enhancements:
- Initial release.
<<lessIt understands the different types of lambda expressions, can extract lists of variables (both free and bound) and subterms, and can simplify complicated expressions by means of application.
Notations for lambda expressions vary slightly, so it is instructive to detail the precise notation used by this module. A variable is expressed with a string of alphanumeric characters, e.g., x or abc1.
Enhancements:
- Initial release.
Download (0.014MB)
Added: 2006-10-27 License: GPL (GNU General Public License) Price:
1097 downloads
Python chess module 1.0.2a
Python chess module project is a Python chess move adjudicator module. more>>
Python chess module project is a Python chess move adjudicator module.
Python chess module does not know how to play chess, but does understand the rules enough that it can watch moves and verify that they are correct.
It features high abstraction, understands various notations (including algebraic, long algebraic, and standard algebraic notation), does disambiguation, and supports saving and loading the state of a game.
Main features:
- high abstraction
- understands various notations, including algebraic, long algebraic, and standard algebraic notation (as in PGN); does disambiguation
- supports saving and loading of the state of a game
- not a trivial move processor; understands the intracies of the game
Enhancements:
- Bug with en passant moves fixed.
<<lessPython chess module does not know how to play chess, but does understand the rules enough that it can watch moves and verify that they are correct.
It features high abstraction, understands various notations (including algebraic, long algebraic, and standard algebraic notation), does disambiguation, and supports saving and loading the state of a game.
Main features:
- high abstraction
- understands various notations, including algebraic, long algebraic, and standard algebraic notation (as in PGN); does disambiguation
- supports saving and loading of the state of a game
- not a trivial move processor; understands the intracies of the game
Enhancements:
- Bug with en passant moves fixed.
Download (0.026MB)
Added: 2006-11-24 License: GPL (GNU General Public License) Price:
1068 downloads
Python config module 0.3.6
Python config module is a hierarchical, easy-to-use, powerful configuration module for Python. more>>
Python config module allows a hierarchical configuration scheme with support for mappings and sequences, cross-references between one part of the configuration and another, the ability to flexibly access real Python objects without full-blown eval(), an include facility, simple expression evaluation, and the ability to change, save, cascade, and merge configurations.
It interfaces easily with environment variables and command line options. Python config module has been developed on Python 2.3, but should work on version 2.2 or greater.
Usage
The simplest scenario is, of course, "Hello, world". Lets look at a very simple configuration file simple.cfg where a message to be printed is configured:
# The message to print (this is a comment)
message: Hello, world!
and the program which uses it:
from config import Config
# You can pass any file-like object; if it has a name attribute,
# that name is used when file format error messages are printed
f = file(simple.cfg)
cfg = Config(f)
print cfg.message
which results in the expected:
Hello, world!
A configuration file is, at the top level, a list of key-value pairs. Each value, as well see later, can be a sequence or a mapping, and these can be nested without any practical limit.
In addition to attribute access (cfg.message in the example above), you can also access a value in the configuration using the getByPath method of a configuration: cfg.getByPath(message) would be equivalent. The parameter passed to getByPath is the path of the required value. The getByPath method is useful for when the path is variable. It could even be read from a configuration.
There is also a get method which acts like the dictionary method of the same name - you can pass a default value which is returned if the value is not found in the configuration. The get method works with dictionary keys or attribute names, rather than paths. Hence, you may call cfg.getByPath(a.b) which is equivalent to cfg.a.b, or you can call cfg.a.get(b, 1234) which will return cfg.a.b if it is defined, and 1234 otherwise.
Enhancements:
- This release makes classes derive from an object (previously, they were old-style classes).
- ConfigMerger has been changed to use a more flexible merge strategy.
- Multi-line strings (using """ or ) are now supported.
- A typo involving raising a ConfigError was fixed.
<<lessIt interfaces easily with environment variables and command line options. Python config module has been developed on Python 2.3, but should work on version 2.2 or greater.
Usage
The simplest scenario is, of course, "Hello, world". Lets look at a very simple configuration file simple.cfg where a message to be printed is configured:
# The message to print (this is a comment)
message: Hello, world!
and the program which uses it:
from config import Config
# You can pass any file-like object; if it has a name attribute,
# that name is used when file format error messages are printed
f = file(simple.cfg)
cfg = Config(f)
print cfg.message
which results in the expected:
Hello, world!
A configuration file is, at the top level, a list of key-value pairs. Each value, as well see later, can be a sequence or a mapping, and these can be nested without any practical limit.
In addition to attribute access (cfg.message in the example above), you can also access a value in the configuration using the getByPath method of a configuration: cfg.getByPath(message) would be equivalent. The parameter passed to getByPath is the path of the required value. The getByPath method is useful for when the path is variable. It could even be read from a configuration.
There is also a get method which acts like the dictionary method of the same name - you can pass a default value which is returned if the value is not found in the configuration. The get method works with dictionary keys or attribute names, rather than paths. Hence, you may call cfg.getByPath(a.b) which is equivalent to cfg.a.b, or you can call cfg.a.get(b, 1234) which will return cfg.a.b if it is defined, and 1234 otherwise.
Enhancements:
- This release makes classes derive from an object (previously, they were old-style classes).
- ConfigMerger has been changed to use a more flexible merge strategy.
- Multi-line strings (using """ or ) are now supported.
- A typo involving raising a ConfigError was fixed.
Download (0.027MB)
Added: 2006-03-10 License: Freely Distributable Price:
1326 downloads
Simple Python Fixed-Point Module 0.5
Simple Python Fixed-Point Module is a Python module which provides basic facilities for manipulating (binary) fixed-point number more>>
Simple Python Fixed-Point Module or SPFPM in short, is a Python module which provides basic facilities for manipulating (binary) fixed-point numbers.
The number of fractional binary digits is tunable, allowing near-arbitrary precision arithmetic. Arithmetic and mathematical functions such as sqrt, exp, log, sin, and cos are available
Enhancements:
- Inverse sin/cosine routines were improved. Inheritance-based typing was replaced by duck-typing.
<<lessThe number of fractional binary digits is tunable, allowing near-arbitrary precision arithmetic. Arithmetic and mathematical functions such as sqrt, exp, log, sin, and cos are available
Enhancements:
- Inverse sin/cosine routines were improved. Inheritance-based typing was replaced by duck-typing.
Download (0.015MB)
Added: 2007-05-31 License: Python License Price:
879 downloads
Python logging module 0.4.9.5
Python logging module is a logging module for Python for use with Python 1.5.2 through 2.2.x. more>>
The Python logging module implements a standard logging system for Python programs. It was strongly influenced by log4j from the Apache project.
As this package is included in versions 2.3 and later, only users of earlier versions of Python would need to install this module.
There was a need for a standard logging system in Python, as comprehensively documented in PEP 282 and enthusiastically endorsed by the BDFL in the Parade of the PEPs.
By a happy coincidence, the package described here was already in development and fairly close in intent and design to the description in the aforementioned PEP, borrowing as it did heavily from JSR-47 (now JDK 1.4s java.util.logging package) and log4j.
This page describes it in more detail. As I have tweaked the package to meet comments on PEP 282, I have structured this page in the same way as the original PEP.
This package is now part of Python 2.3, but if you have an earlier version of Python, you can download the package from here and use it with Python versions between 1.5.2 and 2.2.x.
<<lessAs this package is included in versions 2.3 and later, only users of earlier versions of Python would need to install this module.
There was a need for a standard logging system in Python, as comprehensively documented in PEP 282 and enthusiastically endorsed by the BDFL in the Parade of the PEPs.
By a happy coincidence, the package described here was already in development and fairly close in intent and design to the description in the aforementioned PEP, borrowing as it did heavily from JSR-47 (now JDK 1.4s java.util.logging package) and log4j.
This page describes it in more detail. As I have tweaked the package to meet comments on PEP 282, I have structured this page in the same way as the original PEP.
This package is now part of Python 2.3, but if you have an earlier version of Python, you can download the package from here and use it with Python versions between 1.5.2 and 2.2.x.
Download (0.090MB)
Added: 2005-04-22 License: Freely Distributable Price:
1647 downloads
Remote Python Call 2.60
RPyC stands for Remote Python Call, a pun over remote procedure call. more>>
RPyC stands for Remote Python Call, a pun over remote procedure call. It is completely transparent and symmetrical. It is inspired by the work of eyal lotem (pybuild.sf.net) on pyinvoke, and was made for two purposes:
Learning the lowlevel of the python language attempting to improve pyinvoke by making the entire protocol symmetrical. This means the client can make requests to the server, and the server can reply with requests of its own (the client is also a server on its own). This typically means using callback functions.
The RPyC package comes with a full demo, showing (or showing-off) many of its features. As i said, its completely transparent and symmetrical, so you can write code just as you would write in the case of normal python programs.
demo 1 -- a simple client demo
# import the client
from Rpyc.Client import RpycSocketClient
# `hostname` is the name of the host running an Rpyc server
# the port parameter is optional
c = RpycSocketClient("hostname")
# now we are connected and can start messing around with stuff on the server
for filename in c.modules.os.listdir("/tmp"):
print "found file", filename
Enhancements:
- This release adds DeliveringNamespace, LoginError (instead of tlslites internal errors), __version__, deliver (the counterpart of obtain, which can now deliver and obtain functions as well), and isproxy (to test whether an object is a proxy).
- It improves memory consumption with __slots__ and the isinstance/issubclass mechanism.
<<lessLearning the lowlevel of the python language attempting to improve pyinvoke by making the entire protocol symmetrical. This means the client can make requests to the server, and the server can reply with requests of its own (the client is also a server on its own). This typically means using callback functions.
The RPyC package comes with a full demo, showing (or showing-off) many of its features. As i said, its completely transparent and symmetrical, so you can write code just as you would write in the case of normal python programs.
demo 1 -- a simple client demo
# import the client
from Rpyc.Client import RpycSocketClient
# `hostname` is the name of the host running an Rpyc server
# the port parameter is optional
c = RpycSocketClient("hostname")
# now we are connected and can start messing around with stuff on the server
for filename in c.modules.os.listdir("/tmp"):
print "found file", filename
Enhancements:
- This release adds DeliveringNamespace, LoginError (instead of tlslites internal errors), __version__, deliver (the counterpart of obtain, which can now deliver and obtain functions as well), and isproxy (to test whether an object is a proxy).
- It improves memory consumption with __slots__ and the isinstance/issubclass mechanism.
Download (0.030MB)
Added: 2006-05-19 License: Public Domain Price:
1254 downloads
Python Call Graph 0.4.0
Python Call Graph (pycallgraph) is a Python library that creates call graphs for Python programs more>>
Python Call Graph (pycallgraph) is a Python library that creates call graphs for Python programs
pycallgraph is quite new. It seems to work well and I will most likely improve it in the near future!
<<lesspycallgraph is quite new. It seems to work well and I will most likely improve it in the near future!
Download (0.004MB)
Added: 2007-06-26 License: GPL (GNU General Public License) Price:
853 downloads
Python milter 0.8.7
The milter module for Python provides a python interface to Sendmails libmilter that exploits all its features. more>>
Python milter module provides a python interface to Sendmails libmilter that exploits all its features. Milters can run on the same machine as sendmail, or another machine.
The milter can even run with a different operating system or processor than sendmail. Sendmail talks to the milter via a local or internet socket, and keeps the milter informed of events as it processes a mail connection.
At any point, the milter can cut the conversation short by telling sendmail to ACCEPT, REJECT, or DISCARD the message. After receiving a complete message from sendmail, the milter can again REJECT or DISCARD it, but it can also ACCEPT it with changes to the headers or body.
Enhancements:
- The spf module has been moved to the pyspf package.
- This will cause some confusion when upgrading, since 0.8.6 still has the module and will conflict with pyspf, whereas 0.8.7 does not have spf by itself, and will stop doing SPF if you dont install pyspf.
<<lessThe milter can even run with a different operating system or processor than sendmail. Sendmail talks to the milter via a local or internet socket, and keeps the milter informed of events as it processes a mail connection.
At any point, the milter can cut the conversation short by telling sendmail to ACCEPT, REJECT, or DISCARD the message. After receiving a complete message from sendmail, the milter can again REJECT or DISCARD it, but it can also ACCEPT it with changes to the headers or body.
Enhancements:
- The spf module has been moved to the pyspf package.
- This will cause some confusion when upgrading, since 0.8.6 still has the module and will conflict with pyspf, whereas 0.8.7 does not have spf by itself, and will stop doing SPF if you dont install pyspf.
Download (0.10MB)
Added: 2007-01-04 License: GPL (GNU General Public License) Price:
1024 downloads
Python in Scheme 0.1
Python in Scheme is a scheme library that allows you to run Python code within Scheme. more>>
Python in Scheme is a scheme library that allows you to run Python code within Scheme.
Python in Scheme project uses the Python/C API to embed a Python interpreter.
<<lessPython in Scheme project uses the Python/C API to embed a Python interpreter.
Download (0.002MB)
Added: 2007-01-18 License: GPL (GNU General Public License) Price:
1013 downloads
python-money 0.1
python-money provides carefully designed basic Python primitives for working with money and currencies. more>>
python-money 0.1 provides another extremely useful utility for people who have to work a lot with currencies. It actually offers carefully designed basic Python primitives for this process.
The primary objectives of this module is to aid in the development of financial applications by increasing testability and reusability, reducing code duplication and reducing the risk of defects occurring in the code.
The module defines two basic Python classes -- a Currency class and a Money class. It also pre-defines all the world's currencies, according to the ISO 4217 standard. The classes define some basic operations for working with money, overriding Python's addition, substraction, multiplication, etc. in order to account for working with money in different currencies. They also define currency-aware comparison operators. To avoid floating point precision errors in monetary calculations, the module uses Python's Decimal type exclusively.
The design of the module is based on the Money enterprise design pattern, as described in Martin Fowler's "Patterns of Enterprise Application Architecture". This project also contains Django helper classes for easy integration with python-money.
Major Features:
- Offers testability and reusability, reducing code duplication and reducing the risk of defects occurring in the code
- Defines a currency class and a money class
- Uses Python's Decimal type exclusively to avoid floating point precision errors
- The design of the module is based on the Money enterprise design pattern
- Contains Django helper classes
Added: 2008-05-06 License: GPL Price: FREE
12 downloads
Python XHTML 0.4.1
Python XHTML is a simple Python module for the generation of valid XHTML. more>>
Python XHTML is a simple Python module for the generation of valid XHTML.
ToDo:
* include tests for all methods in xhtml_test.py
* ensure that all text that is added to the document is xml safe
* include methods for added w3.org validation link buttons
* complete support for XHTML 1.1 specification
<<lessToDo:
* include tests for all methods in xhtml_test.py
* ensure that all text that is added to the document is xml safe
* include methods for added w3.org validation link buttons
* complete support for XHTML 1.1 specification
Download (0.032MB)
Added: 2007-07-19 License: GPL (GNU General Public License) Price:
827 downloads
python-Observable 0.1.0
python-observable lets Python developers build loosely coupled object meshes with a complete Observer/Observable implementation. more>>
python-observable library lets Python developers build loosely coupled object meshes with a complete Observer/Observable implementation.
In software development literature, Observer/Observable is a software
pattern. From an Observer/Observable perspective, there are two kinds
of objects:
- objects which experience events or state changes (Observables)
- objects which need to know about other objects events (Observers)
If you have any experience with event-based programming, such as with
toolkits like GTK+ or Qt, youll be familiar with the Observer/Observable
pattern. Observer objects register themselves with the Observable object
of their interest, and when Observables experience events, these events
are relayed to the Observers.
Observer/Observable lets software developers build loosely coupled object meshes. What this means to you: your software will be more stable and easier to refactor.
This module has a complete Observer/Observable implementation. To take advantage of this module, all you have to do is:
- Make your Observable classes inherit from Observable (dont forget to call Observable.__init__(self) in the constructor)
- Make your Observer classes inherit from Observer (dont forget to call Observer.__init__(self) in the constructor)
- At runtime, for each object you want to observe, call self.observe(observable_object) in a method of your Observer object.
- In your Observable object, every time an event happens, call:
...
self.broadcastEvent("MyEventName",argument1,argument2...)
...
- In your Observer object, implement a method named: def processEvent(self,notifierObject,eventName,*args): which will receive the notifier object, an event name, and a variable number of arguments, every time broadcastEvent is called in any of the Observable objects that have been observed()
Thats it. Keep in mind that processEvent() will be invoked in the same thread context as the code which called broadcastEvent() in the Observable object. Thus, processEvent() methods should return quickly and never do blocking operations (suggested technique for coping with blocking operations: run them in a separate thread, which sleeps until a flag is raised, and raise the flag in the processEvent() method as appropriate).
<<lessIn software development literature, Observer/Observable is a software
pattern. From an Observer/Observable perspective, there are two kinds
of objects:
- objects which experience events or state changes (Observables)
- objects which need to know about other objects events (Observers)
If you have any experience with event-based programming, such as with
toolkits like GTK+ or Qt, youll be familiar with the Observer/Observable
pattern. Observer objects register themselves with the Observable object
of their interest, and when Observables experience events, these events
are relayed to the Observers.
Observer/Observable lets software developers build loosely coupled object meshes. What this means to you: your software will be more stable and easier to refactor.
This module has a complete Observer/Observable implementation. To take advantage of this module, all you have to do is:
- Make your Observable classes inherit from Observable (dont forget to call Observable.__init__(self) in the constructor)
- Make your Observer classes inherit from Observer (dont forget to call Observer.__init__(self) in the constructor)
- At runtime, for each object you want to observe, call self.observe(observable_object) in a method of your Observer object.
- In your Observable object, every time an event happens, call:
...
self.broadcastEvent("MyEventName",argument1,argument2...)
...
- In your Observer object, implement a method named: def processEvent(self,notifierObject,eventName,*args): which will receive the notifier object, an event name, and a variable number of arguments, every time broadcastEvent is called in any of the Observable objects that have been observed()
Thats it. Keep in mind that processEvent() will be invoked in the same thread context as the code which called broadcastEvent() in the Observable object. Thus, processEvent() methods should return quickly and never do blocking operations (suggested technique for coping with blocking operations: run them in a separate thread, which sleeps until a flag is raised, and raise the flag in the processEvent() method as appropriate).
Download (0.013MB)
Added: 2005-12-05 License: GPL (GNU General Public License) Price:
1418 downloads
python-dime 0.1
python-dime project provides a way to parse and generate DIME messages. more>>
python-dime project provides a way to parse and generate DIME messages.
Direct Internet Message Encapsulation (DIME) is a binary message format that can be used to encapsulate multiple payloads into a single message.
<<lessDirect Internet Message Encapsulation (DIME) is a binary message format that can be used to encapsulate multiple payloads into a single message.
Download (0.007MB)
Added: 2007-07-26 License: GPL (GNU General Public License) Price:
821 downloads
Python commandsplus 0.2.3
Python commandsplus is a Python module that complements the existing commands module with an extra function. more>>
Python commandsplus is a Python module that complements the existing commands module with an extra function getstatusoutputerror, which separates the standard output from the standard error and makes it easier to evaluate return status.
Python commandsplus also includes a useful function that protects a command line argument from shell metacharacters.
<<lessPython commandsplus also includes a useful function that protects a command line argument from shell metacharacters.
Download (0.015MB)
Added: 2005-12-03 License: GPL (GNU General Public License) Price:
1422 downloads
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