No project description provided
Project description
fifteen
(DBA table_five
)
Experimental library for quick quintet tallying, useful when you have a lot of quintets that somehow you don't want to count yourself.
Usage
Binary wheels are provided on PyPI
python3 -m pip install table_five
API
TreeSet
A treeset is an efficient (i.e., fast parsing) list of tree topologies. The construction is $O(k n \lg n)$ where $k$ is the number of trees and $n$ the number of taxa due to the LCA data structure initialization.
from table_five import TreeSet
trees = TreeSet("path_to_newline_delimited_newicks.tre")
Quintet Counting
The major API is tally_sinlge_quintet
returning a list of length 15 containing the empirical
counts of the 15 ADR unrooted quintet topology among the tree-set in $O(k)$ time:
# get counts of the ADR unrooted quintet topologies on taxa '1','2','3','4','5'. Taxa order matters.
treeset.tally_single_quintet(('1','2','3','4','5'))
# obviously you might want to convert it to numpy arrays
# normalize by the number of genes in the tree-set
new_tree_dist = np.asarray(treeset.tally_single_quintet(q_taxa)) / len(treeset)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
File details
Details for the file table_five-0.0.2.tar.gz
.
File metadata
- Download URL: table_five-0.0.2.tar.gz
- Upload date:
- Size: 28.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9752b8b51db98306e56476735b627c4ea36f1a3e69895519217bcec0a68fb624 |
|
MD5 | 1880255577a417d785fdfbbd96f352ad |
|
BLAKE2b-256 | c994a600efc92a11e911a232e38a8704f39941e801d8d81e681cfde3b5431b7c |
File details
Details for the file table_five-0.0.2-cp37-abi3-win_amd64.whl
.
File metadata
- Download URL: table_five-0.0.2-cp37-abi3-win_amd64.whl
- Upload date:
- Size: 238.9 kB
- Tags: CPython 3.7+, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4bf7add46528cbaff926f3b1b37cb37d9cb9bc94503ebbe43e864425b6d93463 |
|
MD5 | 5ea84ae82da2089e9202c884dc3634e8 |
|
BLAKE2b-256 | fc46fcc9223f0dc61b180c70a3fdcb44781a3f6fa4414eddbc126a0a697bf784 |
File details
Details for the file table_five-0.0.2-cp37-abi3-win32.whl
.
File metadata
- Download URL: table_five-0.0.2-cp37-abi3-win32.whl
- Upload date:
- Size: 230.2 kB
- Tags: CPython 3.7+, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | de6810457247119b0d6d058bdb2c07aefb17263e448e7c4e4026512e846e313d |
|
MD5 | feb9522d89f16e5cb09ab549eb780d83 |
|
BLAKE2b-256 | 858b7bace9285084478564aebefbc09c5b8144b20cf2d7cc93cfaf6cd8865060 |
File details
Details for the file table_five-0.0.2-cp37-abi3-musllinux_1_2_x86_64.whl
.
File metadata
- Download URL: table_five-0.0.2-cp37-abi3-musllinux_1_2_x86_64.whl
- Upload date:
- Size: 1.2 MB
- Tags: CPython 3.7+, musllinux: musl 1.2+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5fafeb72d935e9cbfb3986edc1ce77a3fec5705eb544799d24bed9d010b6f293 |
|
MD5 | 56afc55b6c662bff435dd5386657b130 |
|
BLAKE2b-256 | 7b76c5351e6e03101d942a92d705fb3d26f3a1b63f36ae5519009c4c0bbb00d3 |
File details
Details for the file table_five-0.0.2-cp37-abi3-musllinux_1_2_i686.whl
.
File metadata
- Download URL: table_five-0.0.2-cp37-abi3-musllinux_1_2_i686.whl
- Upload date:
- Size: 1.2 MB
- Tags: CPython 3.7+, musllinux: musl 1.2+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4c0ea303619f2618ba83bc328f64ad1fe8dca2f532c1b1bfe068835a6561003c |
|
MD5 | d3bf29630a4614b747cb8d34c090aca6 |
|
BLAKE2b-256 | 2e1f83f13e6fa5239b63110449925ad28c408680b4e310011bd4a3b4dbd859c9 |
File details
Details for the file table_five-0.0.2-cp37-abi3-musllinux_1_2_armv7l.whl
.
File metadata
- Download URL: table_five-0.0.2-cp37-abi3-musllinux_1_2_armv7l.whl
- Upload date:
- Size: 1.4 MB
- Tags: CPython 3.7+, musllinux: musl 1.2+ ARMv7l
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b5bb88fa333bc6105666c330630091e7e5551b30f232736e786cda7ac1c89f17 |
|
MD5 | 9c037508eee150e78455b93984328b04 |
|
BLAKE2b-256 | 50e47aa3fd6c4bfa1f7e932bc93b1490fe97d50f9d763a07e04e870914f3a405 |
File details
Details for the file table_five-0.0.2-cp37-abi3-musllinux_1_2_aarch64.whl
.
File metadata
- Download URL: table_five-0.0.2-cp37-abi3-musllinux_1_2_aarch64.whl
- Upload date:
- Size: 1.2 MB
- Tags: CPython 3.7+, musllinux: musl 1.2+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c21e9251f7ec045322f592cc196a1866c03d8db069e177431f0ccdc1598d3432 |
|
MD5 | b2ab56d44dbcf24eb2a1a8932ce0a2ab |
|
BLAKE2b-256 | 6cd15fbbbebbf289f47979299b9162ca354612c071f7f8ca2a4a1822d327d766 |
File details
Details for the file table_five-0.0.2-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: table_five-0.0.2-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 1.1 MB
- Tags: CPython 3.7+, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 62e7ca2cc762c0dc84664599f5c075c910feda3592234e2aeedd6dd4ff4b8fdd |
|
MD5 | f183337d4af5f8422ea708cdfe7c32d8 |
|
BLAKE2b-256 | 235327907ecf2816371a52717353aa9b8a25285dc2ac5fe74be0b99c91145ff4 |
File details
Details for the file table_five-0.0.2-cp37-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
.
File metadata
- Download URL: table_five-0.0.2-cp37-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
- Upload date:
- Size: 1.0 MB
- Tags: CPython 3.7+, manylinux: glibc 2.17+ ARMv7l
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 79cc002d28497931ad30c7f14b27e38c9d7970bd2d6115e5487e9d27a3248df1 |
|
MD5 | f91c4a04af6749c07d1ec9250fa3f596 |
|
BLAKE2b-256 | 03a47ffcc6e7322993c37e2443b213be861eac2ff3f242901112aa9df0646bc1 |
File details
Details for the file table_five-0.0.2-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: table_five-0.0.2-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 1.0 MB
- Tags: CPython 3.7+, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | afc6f726bccfb446ed87b3111f6bd3ea28eaca79176790c8ee9f79579e0dee50 |
|
MD5 | ce9026e219f36b794f57dd08944d282d |
|
BLAKE2b-256 | 9442c12bc04a436dca94edb2a7a2cadee50b1aea63c826c0802210f77f884745 |
File details
Details for the file table_five-0.0.2-cp37-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.whl
.
File metadata
- Download URL: table_five-0.0.2-cp37-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.whl
- Upload date:
- Size: 1.0 MB
- Tags: CPython 3.7+, manylinux: glibc 2.5+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ccf3e0a9ff68261cf87fc01c5e23865cb0b4d749008817b4ac8b3b8cb88addb7 |
|
MD5 | c26615200d389a78bc48e3396bcf6544 |
|
BLAKE2b-256 | 7597ebcf997459efd4246f22108c26b6932873aa785f3c4023cbc224d7642b8d |
File details
Details for the file table_five-0.0.2-cp37-abi3-manylinux_2_5_i686.manylinux1_i686.whl
.
File metadata
- Download URL: table_five-0.0.2-cp37-abi3-manylinux_2_5_i686.manylinux1_i686.whl
- Upload date:
- Size: 1.1 MB
- Tags: CPython 3.7+, manylinux: glibc 2.5+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 868543d14a0ed3472e24b7cd46233322dc782beca38b3a7a0e47e7f0e16fdc70 |
|
MD5 | bccdf8f1ee68d28db04304a7cafade38 |
|
BLAKE2b-256 | 47e219b2fb7dd54231d66766aadcaeca9fd1edaceb1765679c535ffbb940439d |
File details
Details for the file table_five-0.0.2-cp37-abi3-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
.
File metadata
- Download URL: table_five-0.0.2-cp37-abi3-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
- Upload date:
- Size: 504.9 kB
- Tags: CPython 3.7+, macOS 10.9+ universal2 (ARM64, x86-64), macOS 10.9+ x86-64, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 53b90ac5229a1c53607ae1f6f4463001a0bb60b71b401a6728af01803c06babb |
|
MD5 | e9e94edb21b14c74a5ac15ddad95174e |
|
BLAKE2b-256 | aa154b7456f347849932f3b30c1e62e82d2b5d832a4b395cc4674ea5a2b3d4a7 |
File details
Details for the file table_five-0.0.2-cp37-abi3-macosx_10_7_x86_64.whl
.
File metadata
- Download URL: table_five-0.0.2-cp37-abi3-macosx_10_7_x86_64.whl
- Upload date:
- Size: 258.0 kB
- Tags: CPython 3.7+, macOS 10.7+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3b3e018cba0fe36d08ff9275017a0943c901187fd27a68592dd9c86789d71766 |
|
MD5 | 120d807b72d1f96910bf5abce7c8c117 |
|
BLAKE2b-256 | fc41a43c7479c066ab581c212360f924f35c31d4eb0ebacec035bfee4825c391 |