Skip to main content

Radix tree implementation

Project description

This is a PyPI package of the SEKOIA.io fork of the py-radix library. Version 1.0.2 is git version 8df057ab1d707f2c4eecdae2295e925b59a14737.

The original was forked by Raphael Cohen to reduce the memory footprint of the C implementation, and has several other fixes since. This particular PyPI package was published by Sasha Romijn.

The following attributes have been converted to properties and will be computed at query time:

  • network

  • prefix

The data object is now None by default instead of being an empty dict. It can be used to store any type of data.

py-radix implements the radix tree data structure for the storage and retrieval of IPv4 and IPv6 network prefixes.

The radix tree is commonly used for routing table lookups. It efficiently stores network prefixes of varying lengths and allows fast lookups of containing networks.

Installation

Installation is a breeze via pip:

pip install py-radix

Or with the standard Python distutils incantation:

python setup.py build
python setup.py install

The C extension will be built for supported python versions. If you do not want the C extension, set the environment variable RADIX_NO_EXT=1.

Tests are in the tests/ directory and can be run with python setup.py nosetests.

Usage

A simple example that demonstrates most of the features:

import socket
import radix

# Create a new tree
rtree = radix.Radix()

# Adding a node returns a RadixNode object. You can create
# arbitrary members in its 'data' dict to store your data
rnode = rtree.add("10.0.0.0/8")
rnode.data = {"blah": "whatever you want"}

# You can specify nodes as CIDR addresses, or networks with
# separate mask lengths. The following three invocations are
# identical:
rnode = rtree.add("10.0.0.0/16")
rnode = rtree.add("10.0.0.0", 16)
rnode = rtree.add(network = "10.0.0.0", masklen = 16)

# It is also possible to specify nodes using binary packed
# addresses, such as those returned by the socket module
# functions. In this case, the radix module will assume that
# a four-byte address is an IPv4 address and a sixteen-byte
# address is an IPv6 address. For example:
binary_addr = socket.inet_aton("172.18.22.0")
rnode = rtree.add(packed = binary_addr, masklen = 23)

# Exact search will only return prefixes you have entered
# You can use all of the above ways to specify the address
rnode = rtree.search_exact("10.0.0.0/8")
# Get your data back out
print(rnode.data["blah"])
# Use a packed address
addr = socket.inet_aton("10.0.0.0")
rnode = rtree.search_exact(packed = addr, masklen = 8)

# Best-match search will return the longest matching prefix
# that contains the search term (routing-style lookup)
rnode = rtree.search_best("10.123.45.6")

# Worst-search will return the shortest matching prefix
# that contains the search term (inverse routing-style lookup)
rnode = rtree.search_worst("10.123.45.6")

# Covered search will return all prefixes inside the given
# search term, as a list (including the search term itself,
# if present in the tree)
rnodes = rtree.search_covered("10.123.0.0/16")

# There are a couple of implicit members of a RadixNode:
print(rnode.network)     # -> "10.0.0.0"
print(rnode.prefix)      # -> "10.0.0.0/8"
print(rnode.prefixlen)   # -> 8
print(rnode.family)      # -> socket.AF_INET
print(rnode.packed)      # -> '\n\x00\x00\x00'

# IPv6 prefixes are fully supported in the same tree
rnode = rtree.add("2001:DB8::/3")
rnode = rtree.add("::/0")

# Use the nodes() method to return all RadixNodes created
nodes = rtree.nodes()
for rnode in nodes:
        print(rnode.prefix)

# The prefixes() method will return all the prefixes (as a
# list of strings) that have been entered
prefixes = rtree.prefixes()

# You can also directly iterate over the tree itself
# this would save some memory if the tree is big
# NB. Don't modify the tree (add or delete nodes) while
# iterating otherwise you will abort the iteration and
# receive a RuntimeWarning. Changing a node's data dict
# is permitted.
for rnode in rtree:
        print(rnode.prefix)

License

py-radix is licensed under a ISC/BSD licence. The underlying radix tree implementation is taken (and modified) from MRTd and is subject to a 4-term BSD license. See the LICENSE file for details.

Contributing

Please report bugs via GitHub at https://github.com/mjschultz/py-radix/issues. Code changes can be contributed through a pull request on GitHub or emailed directly to me <mjschultz@gmail.com>.

The main portions of the directory tree are as follows:

.
├── radix/*.py      # Pure Python code
├── radix/_radix.c  # C extension code (compatible with pure python code)
├── radix/_radix/*  # C extension code (compatible with pure python code)
├── tests/          # Tests (regression and unit)
└── setup.py        # Standard setup.py for installation/testing/etc.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

py_radix_sr-1.0.2.tar.gz (26.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

py_radix_sr-1.0.2-cp314-cp314-macosx_26_0_arm64.whl (22.3 kB view details)

Uploaded CPython 3.14macOS 26.0+ ARM64

File details

Details for the file py_radix_sr-1.0.2.tar.gz.

File metadata

  • Download URL: py_radix_sr-1.0.2.tar.gz
  • Upload date:
  • Size: 26.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for py_radix_sr-1.0.2.tar.gz
Algorithm Hash digest
SHA256 f3727d46a5dda4b5d159d8da0f12a2b23b21120e92d8ed30c192727016d919fd
MD5 1877abab50212f4c9cbfbe19d463f74d
BLAKE2b-256 f735a6842eefe2cee1f73593130d59de150cc5bb09633cf2cbc7cc937cd338dc

See more details on using hashes here.

File details

Details for the file py_radix_sr-1.0.2-cp314-cp314-macosx_26_0_arm64.whl.

File metadata

File hashes

Hashes for py_radix_sr-1.0.2-cp314-cp314-macosx_26_0_arm64.whl
Algorithm Hash digest
SHA256 ac801f336d7b873c5470b70c1036561b615a7bc2399111c5c94b514a8b0cb8af
MD5 9f52b2d51f7b2bde25698b7dea7fb509
BLAKE2b-256 b406e345c88c57abb1941ab70985d611bdb314cc1bec325c111ab0d56caad434

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page